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biomarkers</title> <meta name="description" content="Search results for: metabolic biomarkers"> <meta name="keywords" content="metabolic biomarkers"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button class="d-block d-lg-none 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action="https://publications.waset.org/abstracts/search"> <div id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="metabolic biomarkers"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 1071</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: metabolic biomarkers</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1071</span> Metabolic Syndrome and Its Effects on Cartilage Degeneration vs Regeneration: A Pilot Study Using Osteoarthritis Biomarkers</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Neena%20Kanojia">Neena Kanojia</a>, <a href="https://publications.waset.org/abstracts/search?q=R.%20K.%20Kanojia"> R. K. Kanojia</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background: Osteoarthritis OA of the knee is one of the leading causes of disability characterized by degeneration of hyaline cartilage combined with reparative processes. Its strong association with metabolic syndrome is postulated to be due to both mechanical and biochemical factors. Our study aims to study differential effect of metabolic risk factors on cartilage degeneration and regeneration at biomarker level. Design: After screening 281 patients presenting with knee pain, 41 patients who met the selection criteria were included and were divided into metabolic MetS OA and non-metabolic Non-MetS OA phenotypes using National Cholesterol Education Programme-Adult Treatment Panel-III NCEP ATP III criteria for metabolic syndrome. Serum Cartilage Oligomeric Matrix Protein COMP and Procollagen type IIA N terminal Propeptide PIIANP levels were used as tools to assess cartilage degeneration and regeneration, respectively. Results: 22 among 41 patients 53.66% had metabolic syndrome. Covariates like age, gender, Kellgren Lawrence KL grades were comparable in both groups. MetS OA group showed significant increase in serum COMP levels (p 0.03 with no significant effect on serum PIIANP levels (p 0.46. Hypertriglyceridemia showed independent association with both cartilage anabolism (p 0.03 and catabolism (p 0.03. Conclusion: Metabolic syndrome, though has no effect on cartilage regeneration tends to shift cartilage homeostasis towards degeneration with hypertriglyceridemia showing significant independent effect on cartilage metabolism. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=metabolic" title="metabolic">metabolic</a>, <a href="https://publications.waset.org/abstracts/search?q=syndrome" title=" syndrome"> syndrome</a>, <a href="https://publications.waset.org/abstracts/search?q=cartilage" title=" cartilage"> cartilage</a>, <a href="https://publications.waset.org/abstracts/search?q=degernation" title=" degernation"> degernation</a> </p> <a href="https://publications.waset.org/abstracts/172402/metabolic-syndrome-and-its-effects-on-cartilage-degeneration-vs-regeneration-a-pilot-study-using-osteoarthritis-biomarkers" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/172402.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">65</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1070</span> Association of Lipoprotein Lipase Gene (HindIII rs320) Polymorphisms with Moderate Hypertriglyceridemia Secondary to Metabolic Syndrome</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Meryem%20Abi-Ayad">Meryem Abi-Ayad</a>, <a href="https://publications.waset.org/abstracts/search?q=Biagio%20Arcidiacono"> Biagio Arcidiacono</a>, <a href="https://publications.waset.org/abstracts/search?q=Eusebio%20Chiefari"> Eusebio Chiefari</a>, <a href="https://publications.waset.org/abstracts/search?q=Daniela%20Foti"> Daniela Foti</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohamed%20Benyoucef"> Mohamed Benyoucef</a>, <a href="https://publications.waset.org/abstracts/search?q=Antonio%20Brunetti"> Antonio Brunetti</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Lipoprotein Lipase (LPL) is a key enzyme for lipid metabolism; its genetic polymorphism can be a candidate for modulating lipids parameters in metabolic syndrome. The objective of the present study was to determine whether lipoproteins lipase polymorphisMetS (LPL-HindIII) could be associated with moderate hypertriglyceridemia (secondary to metabolism syndrome). The polymorphism Hind III (rs320) was assessed by PCR-RFLP in 51 MetS patients and 17 healthy controls from the hospital in Tlemcen. The logistic regression analyses showed no significant association with Hind III genotype and hypertriglyceridemia (TG ≥ 1,5g/l or TG lower treatment) (P=0,455), metabolic syndrome (P=0,455), hypertension (P=0,802) and type 2 diabetes (P=0,144). In terms of plasma biomarkers, although not statistically significant, there was a difference in TG levels (P > 0,05), which was lowest among carriers of the homogenous mutant allele (H-). In this study, there was no association between the rare allele (H-) and disease protection, and between the frequent allele (H+) and disease prevalence (hypertriglyceridemia, metabolic syndrome, hypertension, type 2 diabetes). <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=moderate%20secondary%20hypertriglyceridemia" title="moderate secondary hypertriglyceridemia">moderate secondary hypertriglyceridemia</a>, <a href="https://publications.waset.org/abstracts/search?q=metabolic%20syndrome" title=" metabolic syndrome"> metabolic syndrome</a>, <a href="https://publications.waset.org/abstracts/search?q=lipids" title=" lipids"> lipids</a>, <a href="https://publications.waset.org/abstracts/search?q=polymorphism%20lipoprotein%20lipase" title=" polymorphism lipoprotein lipase"> polymorphism lipoprotein lipase</a>, <a href="https://publications.waset.org/abstracts/search?q=HindIII%28rs320%29" title=" HindIII(rs320)"> HindIII(rs320)</a> </p> <a href="https://publications.waset.org/abstracts/73036/association-of-lipoprotein-lipase-gene-hindiii-rs320-polymorphisms-with-moderate-hypertriglyceridemia-secondary-to-metabolic-syndrome" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/73036.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">321</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1069</span> The Relationship between Impared Fasting Glucose and Serum Fibroblast Growth Factor 21 Level</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nanhee%20Cho">Nanhee Cho</a>, <a href="https://publications.waset.org/abstracts/search?q=Eugene%20Han"> Eugene Han</a>, <a href="https://publications.waset.org/abstracts/search?q=Hanbyul%20Kim"> Hanbyul Kim</a>, <a href="https://publications.waset.org/abstracts/search?q=Hochan%20Cho"> Hochan Cho</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Pre-diabetes includes impaired fasting glucose (IFG) and impaired glucose tolerance (IGT) and there is a strong probability that pre-diabetes will lead to diabetes mellitus (DM). Serum fibroblast growth factor 21 (FGF-21) is known to be increased as a compensatory response to metabolic imbalance under conditions such as obesity, metabolic syndrome, and DM. This study aims to identify the relationship of serum FGF-21 with pre-diabetes, and with biomarkers of related metabolic diseases. Fifty five Korea adult patients participated in a cohort study from June 2012 to December 2015. The analysis revealed that BMI, FBS levels, and serum FGF-21 levels were significantly higher in the IFG group compared to those in the normal group. A multiple regression analysis was conduted on the correlations of serum FGF-21 levels with BMI, and FBS levels, and the result did not show statistical significance. In conclusion, our results revealed that serum FGF-21 level serve as a marker to predict IFG. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cytokine" title="cytokine">cytokine</a>, <a href="https://publications.waset.org/abstracts/search?q=fibroblast%20growth%20factor%2021" title=" fibroblast growth factor 21"> fibroblast growth factor 21</a>, <a href="https://publications.waset.org/abstracts/search?q=impaired%20fasting%20glucose" title=" impaired fasting glucose"> impaired fasting glucose</a>, <a href="https://publications.waset.org/abstracts/search?q=prediabetes" title=" prediabetes "> prediabetes </a> </p> <a href="https://publications.waset.org/abstracts/67447/the-relationship-between-impared-fasting-glucose-and-serum-fibroblast-growth-factor-21-level" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/67447.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">325</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1068</span> Microbial Bioproduction with Design of Metabolism and Enzyme Engineering</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Tomokazu%20Shirai">Tomokazu Shirai</a>, <a href="https://publications.waset.org/abstracts/search?q=Akihiko%20Kondo"> Akihiko Kondo</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Technologies of metabolic engineering or synthetic biology are essential for effective microbial bioproduction. It is especially important to develop an in silico tool for designing a metabolic pathway producing an unnatural and valuable chemical such as fossil materials of fuel or plastics. We here demonstrated two in silico tools for designing novel metabolic pathways: BioProV and HyMeP. Furthermore, we succeeded in creating an artificial metabolic pathway by enzyme engineering. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=bioinformatics" title="bioinformatics">bioinformatics</a>, <a href="https://publications.waset.org/abstracts/search?q=metabolic%20engineering" title=" metabolic engineering"> metabolic engineering</a>, <a href="https://publications.waset.org/abstracts/search?q=synthetic%20biology" title=" synthetic biology"> synthetic biology</a>, <a href="https://publications.waset.org/abstracts/search?q=genome%20scale%20model" title=" genome scale model"> genome scale model</a> </p> <a href="https://publications.waset.org/abstracts/64531/microbial-bioproduction-with-design-of-metabolism-and-enzyme-engineering" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/64531.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">339</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1067</span> Quantified Metabolomics for the Determination of Phenotypes and Biomarkers across Species in Health and Disease</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Miroslava%20Cuperlovic-Culf">Miroslava Cuperlovic-Culf</a>, <a href="https://publications.waset.org/abstracts/search?q=Lipu%20Wang"> Lipu Wang</a>, <a href="https://publications.waset.org/abstracts/search?q=Ketty%20Boyle"> Ketty Boyle</a>, <a href="https://publications.waset.org/abstracts/search?q=Nadine%20Makley"> Nadine Makley</a>, <a href="https://publications.waset.org/abstracts/search?q=Ian%20Burton"> Ian Burton</a>, <a href="https://publications.waset.org/abstracts/search?q=Anissa%20Belkaid"> Anissa Belkaid</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohamed%20Touaibia"> Mohamed Touaibia</a>, <a href="https://publications.waset.org/abstracts/search?q=Marc%20E.%20Surrette"> Marc E. Surrette </a> </p> <p class="card-text"><strong>Abstract:</strong></p> Metabolic changes are one of the major factors in the development of a variety of diseases in various species. Metabolism of agricultural plants is altered the following infection with pathogens sometimes contributing to resistance. At the same time, pathogens use metabolites for infection and progression. In humans, metabolism is a hallmark of cancer development for example. Quantified metabolomics data combined with other omics or clinical data and analyzed using various unsupervised and supervised methods can lead to better diagnosis and prognosis. It can also provide information about resistance as well as contribute knowledge of compounds significant for disease progression or prevention. In this work, different methods for metabolomics quantification and analysis from Nuclear Magnetic Resonance (NMR) measurements that are used for investigation of disease development in wheat and human cells will be presented. One-dimensional 1H NMR spectra are used extensively for metabolic profiling due to their high reliability, wide range of applicability, speed, trivial sample preparation and low cost. This presentation will describe a new method for metabolite quantification from NMR data that combines alignment of spectra of standards to sample spectra followed by multivariate linear regression optimization of spectra of assigned metabolites to samples’ spectra. Several different alignment methods were tested and multivariate linear regression result has been compared with other quantification methods. Quantified metabolomics data can be analyzed in the variety of ways and we will present different clustering methods used for phenotype determination, network analysis providing knowledge about the relationships between metabolites through metabolic network as well as biomarker selection providing novel markers. These analysis methods have been utilized for the investigation of fusarium head blight resistance in wheat cultivars as well as analysis of the effect of estrogen receptor and carbonic anhydrase activation and inhibition on breast cancer cell metabolism. Metabolic changes in spikelet’s of wheat cultivars FL62R1, Stettler, MuchMore and Sumai3 following fusarium graminearum infection were explored. Extensive 1D 1H and 2D NMR measurements provided information for detailed metabolite assignment and quantification leading to possible metabolic markers discriminating resistance level in wheat subtypes. Quantification data is compared to results obtained using other published methods. Fusarium infection induced metabolic changes in different wheat varieties are discussed in the context of metabolic network and resistance. Quantitative metabolomics has been used for the investigation of the effect of targeted enzyme inhibition in cancer. In this work, the effect of 17 β -estradiol and ferulic acid on metabolism of ER+ breast cancer cells has been compared to their effect on ER- control cells. The effect of the inhibitors of carbonic anhydrase on the observed metabolic changes resulting from ER activation has also been determined. Metabolic profiles were studied using 1D and 2D metabolomic NMR experiments, combined with the identification and quantification of metabolites, and the annotation of the results is provided in the context of biochemical pathways. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=metabolic%20biomarkers" title="metabolic biomarkers">metabolic biomarkers</a>, <a href="https://publications.waset.org/abstracts/search?q=metabolic%20network" title=" metabolic network"> metabolic network</a>, <a href="https://publications.waset.org/abstracts/search?q=metabolomics" title=" metabolomics"> metabolomics</a>, <a href="https://publications.waset.org/abstracts/search?q=multivariate%20linear%20regression" title=" multivariate linear regression"> multivariate linear regression</a>, <a href="https://publications.waset.org/abstracts/search?q=NMR%20quantification" title=" NMR quantification"> NMR quantification</a>, <a href="https://publications.waset.org/abstracts/search?q=quantified%20metabolomics" title=" quantified metabolomics"> quantified metabolomics</a>, <a href="https://publications.waset.org/abstracts/search?q=spectral%20alignment" title=" spectral alignment"> spectral alignment</a> </p> <a href="https://publications.waset.org/abstracts/46114/quantified-metabolomics-for-the-determination-of-phenotypes-and-biomarkers-across-species-in-health-and-disease" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/46114.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">338</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1066</span> Using Artificial Neural Networks for Optical Imaging of Fluorescent Biomarkers </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=K.%20A.%20Laptinskiy">K. A. Laptinskiy</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20A.%20Burikov"> S. A. Burikov</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20M.%20Vervald"> A. M. Vervald</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20A.%20Dolenko"> S. A. Dolenko</a>, <a href="https://publications.waset.org/abstracts/search?q=T.%20A.%20Dolenko"> T. A. Dolenko</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The article presents the results of the application of artificial neural networks to separate the fluorescent contribution of nanodiamonds used as biomarkers, adsorbents and carriers of drugs in biomedicine, from a fluorescent background of own biological fluorophores. The principal possibility of solving this problem is shown. Use of neural network architecture let to detect fluorescence of nanodiamonds against the background autofluorescence of egg white with high accuracy - better than 3 ug/ml. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=artificial%20neural%20networks" title="artificial neural networks">artificial neural networks</a>, <a href="https://publications.waset.org/abstracts/search?q=fluorescence" title=" fluorescence"> fluorescence</a>, <a href="https://publications.waset.org/abstracts/search?q=data%20aggregation" title=" data aggregation"> data aggregation</a>, <a href="https://publications.waset.org/abstracts/search?q=biomarkers" title=" biomarkers"> biomarkers</a> </p> <a href="https://publications.waset.org/abstracts/14494/using-artificial-neural-networks-for-optical-imaging-of-fluorescent-biomarkers" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/14494.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">710</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1065</span> Chronic Toxicity of Halofenozide on a Larvivorous Fish, Gambusia affinis: Acetylcholinesterase, Glutathione S-transferase Activities and Glutathione</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Chouahda%20Salima">Chouahda Salima</a>, <a href="https://publications.waset.org/abstracts/search?q=Soltani%20Noureddine"> Soltani Noureddine</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The present study is a part of biological control against mosquitoes. It aims to assess the impact of a selective insect growth regulator: halofenozide in mosquitofish: Gambusia affinis. Acetylcholinesterase (AChE), glutathione S-transferase (GST) and glutathione (GSH) used in assessing of environmental stress were measured in juveniles and adults males and females. The response of these biomarkers reveals an inhibition of AChE specific activity, an induction of GST activity, and decrease of GSH rates in juveniles in the end of experiment and during chronic treatment adult males and females. The effect of these biomarkers is more pronounced in females compared to males and juveniles. These different biomarkers have a similar profile for the duration of exposure. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=biomarkers" title="biomarkers">biomarkers</a>, <a href="https://publications.waset.org/abstracts/search?q=chronic%20toxicity" title=" chronic toxicity"> chronic toxicity</a>, <a href="https://publications.waset.org/abstracts/search?q=insecticide" title=" insecticide"> insecticide</a>, <a href="https://publications.waset.org/abstracts/search?q=halofenozide" title=" halofenozide"> halofenozide</a>, <a href="https://publications.waset.org/abstracts/search?q=Gambusia%20affinis" title=" Gambusia affinis"> Gambusia affinis</a>, <a href="https://publications.waset.org/abstracts/search?q=pollution" title=" pollution"> pollution</a> </p> <a href="https://publications.waset.org/abstracts/32658/chronic-toxicity-of-halofenozide-on-a-larvivorous-fish-gambusia-affinis-acetylcholinesterase-glutathione-s-transferase-activities-and-glutathione" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/32658.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">341</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1064</span> Metabolic Syndrome among Some Originates of Mbo Ethnic Group Living in Yaounde-Cameroon</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mandob%20Enyegue%20Damaris">Mandob Enyegue Damaris</a>, <a href="https://publications.waset.org/abstracts/search?q=Oko%20Ndjollo%20Viviane"> Oko Ndjollo Viviane</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The prevalence of Metabolic Syndrome is increasing throughout the world. The etiology of the metabolic syndrome is dependent on different factors such as ethnic group. This study aimed to evaluate the metabolic syndrome among Mbo ethnic group people leaving in Yaounde, Cameroon. The study conducted on the hundred and thirty two people 40 men and 92 women aged between 18-60 years who were referred to the Andre Fouda Medical Fundation in Yaounde. Metabolic syndrome was diagnosed using Adult Treatment Panel-III (A.T.P-III) 2001 guidelines. The mean of age, high fasting blood glucose, triglycerides levels and total cholesterol levels were significantly (P<0.05) higher in women with metabolic syndrome. High blood pressure level (56.80%), high fasting glucose (20.45%) and high waist circumference (10.60%) were respectively the most frequent characteristics in comparison to others metabolic components. The overall prevalence of MetS was (4.55%) and higher in women (3.03%) than in men (1.52%). The prevalence of MetS is low in originates of Mbo ethnic group of Yaounde. High blood pressure is the most common abnormality. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=individual%20components" title="individual components">individual components</a>, <a href="https://publications.waset.org/abstracts/search?q=metabolic%20syndrome" title=" metabolic syndrome"> metabolic syndrome</a>, <a href="https://publications.waset.org/abstracts/search?q=Mbo%20ethnic%20group" title=" Mbo ethnic group"> Mbo ethnic group</a>, <a href="https://publications.waset.org/abstracts/search?q=Yaounde-Cameroon" title=" Yaounde-Cameroon "> Yaounde-Cameroon </a> </p> <a href="https://publications.waset.org/abstracts/20204/metabolic-syndrome-among-some-originates-of-mbo-ethnic-group-living-in-yaounde-cameroon" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/20204.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">784</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1063</span> Metagenomics Features of The Gut Microbiota in Metabolic Syndrome</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Anna%20D.%20Kotrova">Anna D. Kotrova</a>, <a href="https://publications.waset.org/abstracts/search?q=Alexandr%20N.%20Shishkin"> Alexandr N. Shishkin</a>, <a href="https://publications.waset.org/abstracts/search?q=Elena%20I.%20Ermolenko"> Elena I. Ermolenko</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The aim. To study the quantitative and qualitative colon bacteria ratio from patients with metabolic syndrome. Materials and methods. Fecal samples from patients of 2 groups were identified and analyzed: the first group was formed by patients with metabolic syndrome, the second one - by healthy individuals. The metagenomics method was used with the analysis of 16S rRNA gene sequences. The libraries of the variable sites (V3 and V4) gene 16S RNA were analyzed using the MiSeq device (Illumina). To prepare the libraries was used the standard recommended by Illumina, a method based on two rounds of PCR. Results. At the phylum level in the microbiota of patients with metabolic syndrome compared to healthy individuals, the proportion of Tenericutes was reduced, the proportion of Actinobacteria was increased. At the genus level, in the group with metabolic syndrome, relative to the second group was increased the proportion of Lachnospira. Conclusion. Changes in the colon bacteria ratio in the gut microbiota of patients with metabolic syndrome were found both at the type and the genus level. In the metabolic syndrome group, there is a decrease in the proportion of bacteria that do not have a cell wall. To confirm the revealed microbiota features in patients with metabolic syndrome, further study with a larger number of samples is required. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=gut%20microbiota" title="gut microbiota">gut microbiota</a>, <a href="https://publications.waset.org/abstracts/search?q=metabolic%20syndrome" title=" metabolic syndrome"> metabolic syndrome</a>, <a href="https://publications.waset.org/abstracts/search?q=metagenomics" title=" metagenomics"> metagenomics</a>, <a href="https://publications.waset.org/abstracts/search?q=tenericutes" title=" tenericutes"> tenericutes</a> </p> <a href="https://publications.waset.org/abstracts/130125/metagenomics-features-of-the-gut-microbiota-in-metabolic-syndrome" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/130125.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">222</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1062</span> Biomarkers for Rectal Adenocarcinoma Identified by Lipidomic and Bioinformatic</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Patricia%20O.%20Carvalho">Patricia O. Carvalho</a>, <a href="https://publications.waset.org/abstracts/search?q=Marcia%20C.%20F.%20Messias"> Marcia C. F. Messias</a>, <a href="https://publications.waset.org/abstracts/search?q=Laura%20Credidio"> Laura Credidio</a>, <a href="https://publications.waset.org/abstracts/search?q=Carlos%20A.%20R.%20Martinez"> Carlos A. R. Martinez</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Lipidomic strategy can provide important information regarding cancer pathogenesis mechanisms and could reveal new biomarkers to enable early diagnosis of rectal adenocarcinoma (RAC). This study set out to evaluate lipoperoxidation biomarkers, and lipidomic signature by gas chromatography (GC) and electrospray ionization-qToF-mass spectrometry (ESI-qToF-MS) combined with multivariate data analysis in plasma from 23 RAC patients (early- or advanced-stages cancer) and 18 healthy controls. The most abundant ions identified in the RAC patients were those of phosphatidylcholine (PC) and phosphatidylethanolamine (PE) while those of lisophosphatidylcholine (LPC), identified as LPC (16:1), LPC (18:1) and LPC (18:2), were down-regulated. LPC plasmalogen containing palmitoleic acid (LPC (P-16:1)), with highest VIP score, showed a low tendency in the cancer patients. Malondialdehyde plasma levels were higher in patients with advanced cancer (III/IV stages) than in the early stages groups and the healthy group (p<0.05). No differences in F2-isoprostane levels were observed between these groups. This study shows that the reduction in plasma levels of LPC plasmalogens associated to an increase in MDA levels may indicate increased oxidative stress in these patients and identify the metabolite LPC (P-16:1) as new biomarkers for RAC. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=biomarkers" title="biomarkers">biomarkers</a>, <a href="https://publications.waset.org/abstracts/search?q=lipidomic" title=" lipidomic"> lipidomic</a>, <a href="https://publications.waset.org/abstracts/search?q=plasmalogen" title=" plasmalogen"> plasmalogen</a>, <a href="https://publications.waset.org/abstracts/search?q=rectal%20adenocarcinoma" title=" rectal adenocarcinoma"> rectal adenocarcinoma</a> </p> <a href="https://publications.waset.org/abstracts/78907/biomarkers-for-rectal-adenocarcinoma-identified-by-lipidomic-and-bioinformatic" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/78907.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">230</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1061</span> Reduction in the Metabolic Cost of Human Walking Gaits Using Quasi-Passive Upper Body Exoskeleton</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nafiseh%20%20Ebrahimi">Nafiseh Ebrahimi</a>, <a href="https://publications.waset.org/abstracts/search?q=Gautham%20%20Muthukumaran"> Gautham Muthukumaran</a>, <a href="https://publications.waset.org/abstracts/search?q=Amir%20Jafari"> Amir Jafari</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Human walking gait is considered to be the most efficient biped walking gait. There are various types of gait human follows during locomotion and arm swing is one of the most important factors which controls and differentiates human gaits. Earlier studies declared a 7% reduction in the metabolic cost due to the arm swing. In this research, we compared different types of arm swings in terms of metabolic cost reduction and then suggested, designed, fabricated and tested a quasi-passive upper body exoskeleton to study the metabolic cost reduction in the folded arm walking gate scenarios. Our experimental results validate a 10% reduction in the metabolic cost of walking aided by the application of the proposed exoskeleton. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=arm%20swing" title="arm swing">arm swing</a>, <a href="https://publications.waset.org/abstracts/search?q=MET%20%28metabolic%20equivalent%20of%20a%20task%29" title=" MET (metabolic equivalent of a task)"> MET (metabolic equivalent of a task)</a>, <a href="https://publications.waset.org/abstracts/search?q=calorimeter" title=" calorimeter"> calorimeter</a>, <a href="https://publications.waset.org/abstracts/search?q=oxygen%20consumption" title=" oxygen consumption"> oxygen consumption</a>, <a href="https://publications.waset.org/abstracts/search?q=upper%20body%20quasi-passive%20exoskeleton" title=" upper body quasi-passive exoskeleton"> upper body quasi-passive exoskeleton</a> </p> <a href="https://publications.waset.org/abstracts/102630/reduction-in-the-metabolic-cost-of-human-walking-gaits-using-quasi-passive-upper-body-exoskeleton" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/102630.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">157</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1060</span> Assessment of Serum Osteopontin, Osteoprotegerin and Bone-Specific Alp as Markers of Bone Turnover in Patients with Disorders of Thyroid Function in Nigeria, Sub-Saharan Africa</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Oluwabori%20Emmanuel%20Olukoyejo">Oluwabori Emmanuel Olukoyejo</a>, <a href="https://publications.waset.org/abstracts/search?q=Ogra%20Victor%20Ogra"> Ogra Victor Ogra</a>, <a href="https://publications.waset.org/abstracts/search?q=Bosede%20Amodu"> Bosede Amodu</a>, <a href="https://publications.waset.org/abstracts/search?q=Tewogbade%20Adeoye%20Adedeji"> Tewogbade Adeoye Adedeji</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background: Disorders of thyroid function are the second most common endocrine disorders worldwide, with a direct relationship with metabolic bone diseases. These metabolic bone complications are often subtle but manifest as bone pains and an increased risk of fractures. The gold standard for diagnosis, Dual Energy X-ray Absorptiometry (DEXA), is limited in this environment due to unavailability, cumbersomeness and cost. However, bone biomarkers have shown prospects in assessing alterations in bone remodeling, which has not been studied in this environment. Aim: This study evaluates serum levels of bone-specific alkaline phosphatase (bone-specific ALP), osteopontin and osteoprotegerin biomarkers of bone turnover in patients with disorders of thyroid function. Methods: This is a cross-sectional study carried out over a period of one and a half years. Forty patients with thyroid dysfunctions, aged 20 to 50 years, and thirty-eight age and sex-matched healthy euthyroid controls were included in this study. Patients were further stratified into hyperthyroid and hypothyroid groups. Bone-specific ALP, osteopontin, and osteoprotegerin, alongside serum total calcium, ionized calcium and inorganic phosphate, were assayed for all patients and controls. A self-administered questionnaire was used to obtain data on sociodemographic and medical history. Then, 5 ml of blood was collected in a plain bottle and serum was harvested following clotting and centrifugation. Serum samples were assayed for B-ALP, osteopontin, and osteoprotegerin using the ELISA technique. Total calcium and ionized calcium were assayed using an ion-selective electrode, while the inorganic phosphate was assayed with automated photometry. Results: The hyperthyroid and hypothyroid patient groups had significantly increased median serum B-ALP (30.40 and 26.50) ng/ml and significantly lower median OPG (0.80 and 0.80) ng/ml than the controls (10.81 and 1.30) ng/ml respectively, p < 0.05. However, serum osteopontin in the hyperthyroid group was significantly higher and significantly lower in the hypothyroid group when compared with the controls (11.00 and 2.10 vs 3.70) ng/ml, respectively, p < 0.05. Both hyperthyroid and hypothyroid groups had significantly higher mean serum total calcium, ionized calcium and inorganic phosphate than the controls (2.49 ± 0.28, 1.27 ± 0.14 and 1.33 ± 0.33) mmol/l and (2.41 ± 0.04, 1.20 ± 0.04 and 1.15 ± 0.16) mmol/l vs (2.27 ± 0.11, 1.17 ± 0.06 and 1.08 ± 0.16) mmol/l respectively, p < 0.05. Conclusion: Patients with disorders of thyroid function have metabolic imbalances of all the studied bone markers, suggesting a higher bone turnover. The routine bone markers will be an invaluable tool for monitoring bone health in patients with thyroid dysfunctions, while the less readily available markers can be introduced as supplementary tools. Moreover, bone-specific ALP, osteopontin and osteoprotegerin were found to be the strongest independent predictors of metabolic bone markers’ derangements in patients with thyroid dysfunctions. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=metabolic%20bone%20diseases" title="metabolic bone diseases">metabolic bone diseases</a>, <a href="https://publications.waset.org/abstracts/search?q=biomarker" title=" biomarker"> biomarker</a>, <a href="https://publications.waset.org/abstracts/search?q=bone%20turnover" title=" bone turnover"> bone turnover</a>, <a href="https://publications.waset.org/abstracts/search?q=hyperthyroid" title=" hyperthyroid"> hyperthyroid</a>, <a href="https://publications.waset.org/abstracts/search?q=hypothyroid" title=" hypothyroid"> hypothyroid</a>, <a href="https://publications.waset.org/abstracts/search?q=euthyroid" title=" euthyroid"> euthyroid</a> </p> <a href="https://publications.waset.org/abstracts/188759/assessment-of-serum-osteopontin-osteoprotegerin-and-bone-specific-alp-as-markers-of-bone-turnover-in-patients-with-disorders-of-thyroid-function-in-nigeria-sub-saharan-africa" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/188759.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">36</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1059</span> Quality of Life and Renal Biomarkers in Feline Chronic Kidney Disease</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=B%C3%A1rbara%20Dur%C3%A3o">Bárbara Durão</a>, <a href="https://publications.waset.org/abstracts/search?q=Pedro%20Almeida"> Pedro Almeida</a>, <a href="https://publications.waset.org/abstracts/search?q=David%20Ramilo"> David Ramilo</a>, <a href="https://publications.waset.org/abstracts/search?q=Andr%C3%A9%20Meneses"> André Meneses</a>, <a href="https://publications.waset.org/abstracts/search?q=Rute%20Canejo-Teixeira"> Rute Canejo-Teixeira</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The importance of quality of life (QoL) assessment in veterinary medicine is an integral part of patient care. This is especially true in cases of chronic diseases, such as chronic kidney disease (CKD), where the ever more advanced treatment options prolong the patient’s life. Whether this prolongment of life comes with an acceptable quality of life remains has been called into question. The aim of this study was to evaluate the relationship between CKD disease biomarkers and QoL in cats. Thirty-seven cats diagnosed with CKD and with no known concurrent illness were enrolled in an observational study. Through the course of several evaluations, renal biomarkers were assessed in blood and urine samples, and owners retrospectively described their cat’s quality of life using a validated instrument for this disease. Correlations between QoL scores (AWIS) and the biomarkers were assessed using Spearman’s rank test. Statistical significance was set at p-value < 0.05, and every serial sample was considered independent. Thirty-seven cats met the inclusion criteria, and all owners completed the questionnaire every time their pet was evaluated, giving a total of eighty-four questionnaires, and the average-weighted-impact-score was –0.5. Results showed there was a statistically significant correlation between the quality of life and most of 17 the studied biomarkers and confirmed that CKD has a negative impact on QoL in cats especially due to the management of the disease and secondary appetite disorders. To our knowledge, this is the attempt to assess the correlation between renal biomarkers and QoL in cats. Our results reveal a strong potential of this type of approach in clinical management, mainly in situations where it is not possible to measure biomarkers. Whilst health-related QoL is a reliable predictor of mortality and morbidity in humans; our findings can help improve the clinical practice in cats with CKD. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=chronic%20kidney%20disease" title="chronic kidney disease">chronic kidney disease</a>, <a href="https://publications.waset.org/abstracts/search?q=biomarkers" title=" biomarkers"> biomarkers</a>, <a href="https://publications.waset.org/abstracts/search?q=quality%20of%20life" title=" quality of life"> quality of life</a>, <a href="https://publications.waset.org/abstracts/search?q=feline" title=" feline"> feline</a> </p> <a href="https://publications.waset.org/abstracts/151182/quality-of-life-and-renal-biomarkers-in-feline-chronic-kidney-disease" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/151182.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">180</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1058</span> Effect of Variable Fluxes on Optimal Flux Distribution in a Metabolic Network</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ehsan%20Motamedian">Ehsan Motamedian</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Finding all optimal flux distributions of a metabolic model is an important challenge in systems biology. In this paper, a new algorithm is introduced to identify all alternate optimal solutions of a large scale metabolic network. The algorithm reduces the model to decrease computations for finding optimal solutions. The algorithm was implemented on the Escherichia coli metabolic model to find all optimal solutions for lactate and acetate production. There were more optimal flux distributions when acetate production was optimized. The model was reduced from 1076 to 80 variable fluxes for lactate while it was reduced to 91 variable fluxes for acetate. These 11 more variable fluxes resulted in about three times more optimal flux distributions. Variable fluxes were from 12 various metabolic pathways and most of them belonged to nucleotide salvage and extra cellular transport pathways. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=flux%20variability" title="flux variability">flux variability</a>, <a href="https://publications.waset.org/abstracts/search?q=metabolic%20network" title=" metabolic network"> metabolic network</a>, <a href="https://publications.waset.org/abstracts/search?q=mixed-integer%20linear%20programming" title=" mixed-integer linear programming"> mixed-integer linear programming</a>, <a href="https://publications.waset.org/abstracts/search?q=multiple%20optimal%20solutions" title=" multiple optimal solutions"> multiple optimal solutions</a> </p> <a href="https://publications.waset.org/abstracts/15698/effect-of-variable-fluxes-on-optimal-flux-distribution-in-a-metabolic-network" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/15698.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">434</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1057</span> Psychological Stress and Accelerated Aging in SCI Patients - A Longitudinal Pilot Feasibility Study</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Simona%20Capossela">Simona Capossela</a>, <a href="https://publications.waset.org/abstracts/search?q=Ramona%20Schaniel"> Ramona Schaniel</a>, <a href="https://publications.waset.org/abstracts/search?q=Singer%20Franziska"> Singer Franziska</a>, <a href="https://publications.waset.org/abstracts/search?q=Aquino%20Fournier%20Catharine"> Aquino Fournier Catharine</a>, <a href="https://publications.waset.org/abstracts/search?q=Daniel%20Stekhoven"> Daniel Stekhoven</a>, <a href="https://publications.waset.org/abstracts/search?q=Jivko%20Stoyanov"> Jivko Stoyanov</a> </p> <p class="card-text"><strong>Abstract:</strong></p> A spinal cord injury (SCI) is a traumatic life event that often results in ageing associated health conditions such as muscle mass decline, adipose tissue increase, decline in immune function, frailty, systemic chronic inflammation, and psychological distress and depression. Psychological, oxidative, and metabolic stressors may facilitate accelerated ageing in the SCI population with reduced life expectancy. Research designs using biomarkers of aging and stress are needed to elucidate the role of psychological distress in accelerated aging. The aim of this project is a feasibility pilot study to observe changes in stress biomarkers and correlate them with aging markers in SCI patients during their first rehabilitation (longitudinal cohort study). Biological samples were collected in the SwiSCI (Swiss Spinal Cord Injury Cohort Study) Biobank in Nottwil at 4 weeks±12 days after the injury (T1) and at the end of the first rehabilitation (discharge, T4). The "distress thermometer" is used as a selfassessment tool for psychological distress. Stress biomarkers, as cortisol and protein carbonyl content (PCC), and markers of cellular aging, such as telomere lengths, will be measured. 2 Preliminary results showed that SCI patients (N= 129) are still generally distressed at end of rehabilitation, however we found a statistically significant (p< 0.001) median decrease in distress from 6 (T1) to 5 (T4) during the rehabilitation. In addition, an explorative transcriptomics will be conducted on N=50 SCI patients to compare groups of persons with SCI who have different trajectories of selfreported distress at the beginning and end of the first rehabilitation after the trauma. We identified 4 groups: very high chronic stress (stress thermometer values above 7 at T1 and T4; n=14); transient stress (high to low; n=14), low stress (values below 5 at T1 and T4; n=14), increasing stress (low to high; n=8). The study will attempt to identify and address issues that may occur in relation to the design and conceptualization of future study on stress and aging in the SCI population. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=stress" title="stress">stress</a>, <a href="https://publications.waset.org/abstracts/search?q=aging" title=" aging"> aging</a>, <a href="https://publications.waset.org/abstracts/search?q=spinal%20cord%20injury" title=" spinal cord injury"> spinal cord injury</a>, <a href="https://publications.waset.org/abstracts/search?q=biomarkers" title=" biomarkers"> biomarkers</a> </p> <a href="https://publications.waset.org/abstracts/160175/psychological-stress-and-accelerated-aging-in-sci-patients-a-longitudinal-pilot-feasibility-study" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/160175.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">106</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1056</span> Scoping Review of Biological Age Measurement Composed of Biomarkers</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Diego%20Alejandro%20Esp%C3%ADndola-Fern%C3%A1ndez">Diego Alejandro Espíndola-Fernández</a>, <a href="https://publications.waset.org/abstracts/search?q=Ana%20Mar%C3%ADa%20Posada-Cano"> Ana María Posada-Cano</a>, <a href="https://publications.waset.org/abstracts/search?q=Dagn%C3%B3var%20Aristiz%C3%A1bal-Ocampo"> Dagnóvar Aristizábal-Ocampo</a>, <a href="https://publications.waset.org/abstracts/search?q=Jaime%20Alberto%20Gallo-Villegas"> Jaime Alberto Gallo-Villegas</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background: With the increase in life expectancy, aging has been subject of frequent research, and therefore multiple strategies have been proposed to quantify the advance of the years based on the known physiology of human senescence. For several decades, attempts have been made to characterize these changes through the concept of biological age, which aims to integrate, in a measure of time, structural or functional variation through biomarkers in comparison with simple chronological age. The objective of this scoping review is to deepen the updated concept of measuring biological age composed of biomarkers in the general population and to summarize recent evidence to identify gaps and priorities for future research. Methods: A scoping review was conducted according to the five-phase methodology developed by Arksey and O'Malley through a search of five bibliographic databases to February 2021. Original articles were included with no time or language limit that described the biological age composed of at least two biomarkers in those over 18 years of age. Results: 674 articles were identified, of which 105 were evaluated for eligibility and 65 were included with information on the measurement of biological age composed of biomarkers. Articles from 1974 of 15 nationalities were found, most observational studies, in which clinical or paraclinical biomarkers were used, and 11 different methods described for the calculation of the composite biological age were informed. The outcomes reported were the relationship with the same measured biomarkers, specified risk factors, comorbidities, physical or cognitive functionality, and mortality. Conclusions: The concept of biological age composed of biomarkers has evolved since the 1970s and multiple methods of its quantification have been described through the combination of different clinical and paraclinical variables from observational studies. Future research should consider the population characteristics, and the choice of biomarkers against the proposed outcomes to improve the understanding of aging variables to direct effective strategies for a proper approach. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=biological%20age" title="biological age">biological age</a>, <a href="https://publications.waset.org/abstracts/search?q=biological%20aging" title=" biological aging"> biological aging</a>, <a href="https://publications.waset.org/abstracts/search?q=aging" title=" aging"> aging</a>, <a href="https://publications.waset.org/abstracts/search?q=senescence" title=" senescence"> senescence</a>, <a href="https://publications.waset.org/abstracts/search?q=biomarker" title=" biomarker"> biomarker</a> </p> <a href="https://publications.waset.org/abstracts/144297/scoping-review-of-biological-age-measurement-composed-of-biomarkers" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/144297.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">186</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1055</span> Gender Difference in the Association between Different Components of the Metabolic Syndrome and Vitamin D Levels in Saudi Patients</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Amal%20Baalash">Amal Baalash</a>, <a href="https://publications.waset.org/abstracts/search?q=Shazia%20Mukaddam"> Shazia Mukaddam</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20Adel%20El-Sayed"> M. Adel El-Sayed</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background: Several studies have suggested non-skeletal effects of vitamin D and linked its deficiency with features of many chronic conditions. In this study, We aimed to investigate the relationship between vitamin D levels and different components of the metabolic syndrome in male and female Saudi patients. Methods: the study population consisted of 111 patients with metabolic syndrome (71 females and 40 males) aged 37-63 years enrolled from patients attending the internal medicine outpatient clinics of King Fahad Medical City. The parameters for diagnosis of the metabolic syndrome according to the National Cholesterol Education Program Adult Treatment Panel III (NCEP ATP III) were measured, which included waist circumference, TG, HDL-C, Blood pressure and fasting blood glucose (FBS). The association between each parameter and serum 25-hydroxyvitamin D (25(OH) D) was studied in both male and female patients separately. Results: in male patients, 25(OH) D levels were inversely associated with FBS and TG and positively associated with HDL-C and diastolic blood pressure, With highest association with the HDL-C levels. On the other hand 25(OH) D, Showed no significant association with any of the measured metabolic syndrome parameters in female patients. Conclusion: in Saudi patients with metabolic syndrome, the association between the parameters of metabolic syndrome and the levels of 25 (OH) D is more pronounced in males rather than females. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=gender" title="gender">gender</a>, <a href="https://publications.waset.org/abstracts/search?q=metabolic%20syndrome" title=" metabolic syndrome"> metabolic syndrome</a>, <a href="https://publications.waset.org/abstracts/search?q=Saudi%20patients" title=" Saudi patients"> Saudi patients</a>, <a href="https://publications.waset.org/abstracts/search?q=vitamin%20D" title=" vitamin D"> vitamin D</a> </p> <a href="https://publications.waset.org/abstracts/25448/gender-difference-in-the-association-between-different-components-of-the-metabolic-syndrome-and-vitamin-d-levels-in-saudi-patients" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/25448.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">374</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1054</span> Meta-Analysis of Exercise Interventions for Children and Adolescents Diagnosed with Pediatric Metabolic Syndrome</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=James%20M.%20Geidner">James M. Geidner</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Objective: The purpose of this meta-analysis was to examine the evidence for the effectiveness of exercise interventions on reducing metabolic components in children and/or adolescents diagnosed with Paediatric Metabolic Syndrome. Methods: A computerized search was made from four databases: PubMed, PsycInfo, SPORTDiscus, Cochrane Central Register. The analysis was restricted to children and adolescents with metabolic syndrome examining the effect of exercise interventions on metabolic components. Effect size and 95% confidence interval were calculated and the heterogeneity of the studies was estimated using Cochran’s Q-statistic and I2. Bias was assessed using multiple tools and statistical analyses. Results: Thirteen studies, consisting of 19 separate trials, were selected for the meta-analysis as they fulfilled the inclusion criteria (n=908). Exercise interventions resulted in decreased waist circumference, systolic blood pressure, diastolic blood pressure, fasting glucose, insulin resistance, triglycerides, and High-Density Lipoprotein Cholesterol (HDL-C). Conclusions: This meta-analysis provides insights into the effectiveness of exercise interventions on markers of Paediatric Metabolic Syndrome in children and adolescents. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=metabolic%20syndrome" title="metabolic syndrome">metabolic syndrome</a>, <a href="https://publications.waset.org/abstracts/search?q=syndrome%20x" title=" syndrome x"> syndrome x</a>, <a href="https://publications.waset.org/abstracts/search?q=pediatric" title=" pediatric"> pediatric</a>, <a href="https://publications.waset.org/abstracts/search?q=meta-analysis" title=" meta-analysis"> meta-analysis</a> </p> <a href="https://publications.waset.org/abstracts/146425/meta-analysis-of-exercise-interventions-for-children-and-adolescents-diagnosed-with-pediatric-metabolic-syndrome" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/146425.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">172</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1053</span> Exploring Research Trends and Topics in Intervention on Metabolic Syndrome Using Network Analysis</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Lee%20Soo-Kyoung">Lee Soo-Kyoung</a>, <a href="https://publications.waset.org/abstracts/search?q=Kim%20Young-Su"> Kim Young-Su</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study established a network related to metabolic syndrome intervention by conducting a social network analysis of titles, keywords, and abstracts, and it identified emerging topics of research. It visualized an interconnection between critical keywords and investigated their frequency of appearance to construe the trends in metabolic syndrome intervention measures used in studies conducted over 38 years (1979–2017). It examined a collection of keywords from 8,285 studies using text rank analyzer, NetMiner 4.0. The analysis revealed 5 groups of newly emerging keywords in the research. By examining the relationship between keywords with reference to their betweenness centrality, the following clusters were identified. Thus if new researchers refer to existing trends to establish the subject of their study and the direction of the development of future research on metabolic syndrome intervention can be predicted. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=intervention" title="intervention">intervention</a>, <a href="https://publications.waset.org/abstracts/search?q=metabolic%20syndrome" title=" metabolic syndrome"> metabolic syndrome</a>, <a href="https://publications.waset.org/abstracts/search?q=network%20analysis" title=" network analysis"> network analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=research" title=" research"> research</a>, <a href="https://publications.waset.org/abstracts/search?q=the%20trend" title=" the trend"> the trend</a> </p> <a href="https://publications.waset.org/abstracts/92248/exploring-research-trends-and-topics-in-intervention-on-metabolic-syndrome-using-network-analysis" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/92248.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">201</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1052</span> Comparing of Hypogonadism Frequency between Metabolic Syndrome Men with Normal Men</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Armaghan%20Moravej%20Aleali">Armaghan Moravej Aleali</a>, <a href="https://publications.waset.org/abstracts/search?q=Seyed%20Bahman%20Ghaderian"> Seyed Bahman Ghaderian</a>, <a href="https://publications.waset.org/abstracts/search?q=Homeira%20Rashidi"> Homeira Rashidi</a>, <a href="https://publications.waset.org/abstracts/search?q=Mahmoud%20Mapar"> Mahmoud Mapar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background and Objective The metabolic syndrome (MetS) is considered the most important public health threat of the 21st century. This syndrome is characterized by a cluster of cardiovascular risk factors including increased central abdominal obesity, elevated triglycerides, reduced high-density lipoprotein, high blood pressure, increased fasting glucose, and hyperinsulinemia. MetS has been associated with hypogonadism and erectile dysfunction (ED), and MetS may be considered a risk factor for ED. The aim of this study was finding an association between metabolic syndrome and hypogonadism in Khouzestan, Iran. Subjects and Methods: In this study, 60 patients divided into two groups consisted of 30 cases (with metabolic syndrome) and 30 controls. Total and free Serum Testosterone and FBS in all of them were measured. Data was analyzed with SPSS20 program. Results: There was a significant difference between two groups about free Testosterone (P=0.01), FBS (P=0.002) and LH (P=0.03). Conclusion: According to this finding, it is thought the prevalence of hypogonadism in men with metabolic syndrome is more than the general population. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=metabolic%20syndrome" title="metabolic syndrome">metabolic syndrome</a>, <a href="https://publications.waset.org/abstracts/search?q=fasting%20blood%20sugar" title=" fasting blood sugar"> fasting blood sugar</a>, <a href="https://publications.waset.org/abstracts/search?q=hypogonadism" title=" hypogonadism"> hypogonadism</a>, <a href="https://publications.waset.org/abstracts/search?q=testosterone" title=" testosterone "> testosterone </a> </p> <a href="https://publications.waset.org/abstracts/16544/comparing-of-hypogonadism-frequency-between-metabolic-syndrome-men-with-normal-men" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/16544.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">396</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1051</span> Integration of Microarray Data into a Genome-Scale Metabolic Model to Study Flux Distribution after Gene Knockout</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mona%20Heydari">Mona Heydari</a>, <a href="https://publications.waset.org/abstracts/search?q=Ehsan%20Motamedian"> Ehsan Motamedian</a>, <a href="https://publications.waset.org/abstracts/search?q=Seyed%20Abbas%20Shojaosadati"> Seyed Abbas Shojaosadati</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Prediction of perturbations after genetic manipulation (especially gene knockout) is one of the important challenges in systems biology. In this paper, a new algorithm is introduced that integrates microarray data into the metabolic model. The algorithm was used to study the change in the cell phenotype after knockout of Gss gene in Escherichia coli BW25113. Algorithm implementation indicated that gene deletion resulted in more activation of the metabolic network. Growth yield was more and less regulating gene were identified for mutant in comparison with the wild-type strain. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=metabolic%20network" title="metabolic network">metabolic network</a>, <a href="https://publications.waset.org/abstracts/search?q=gene%20knockout" title=" gene knockout"> gene knockout</a>, <a href="https://publications.waset.org/abstracts/search?q=flux%20balance%20analysis" title=" flux balance analysis"> flux balance analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=microarray%20data" title=" microarray data"> microarray data</a>, <a href="https://publications.waset.org/abstracts/search?q=integration" title=" integration"> integration</a> </p> <a href="https://publications.waset.org/abstracts/15750/integration-of-microarray-data-into-a-genome-scale-metabolic-model-to-study-flux-distribution-after-gene-knockout" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/15750.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">579</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1050</span> Prevalence of Metabolic Syndrome According to Different Criteria in Population over 20 Years Old in Ahvaz</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Armaghan%20Moravej%20Aleali">Armaghan Moravej Aleali</a>, <a href="https://publications.waset.org/abstracts/search?q=Hajieh%20Shahbazian"> Hajieh Shahbazian</a>, <a href="https://publications.waset.org/abstracts/search?q=Seyed%20Mahmoud%20Latifi"> Seyed Mahmoud Latifi</a>, <a href="https://publications.waset.org/abstracts/search?q=Leila%20Yazdanpanah"> Leila Yazdanpanah</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Objective: Metabolic syndrome or insulin resistance syndrome or syndrome X is a collection of abdominal obesity, hypertension, glucose intolerance and lipid abnormalities (elevated triglycerides, elevated LDL, and decrease the amount of HDL). That increases the incidence of diabetes and risk of cardiovascular disease. The aim of this study is to investigate the prevalence of metabolic syndrome in people over 20 years of Ahvaz according to IDF, ATPIII, Harmonized I and Harmonized II. Material & Methods: A cross-sectional study with a random cluster sampling in six health centers in Ahvaz was done. After obtaining informed consent, questionnaire for each person filled up including demographic data and examinations, including blood pressure in sitting position, weight, height, waist circumference, and waist circumference measurement. Results: From all participating 912 people, (434 (2/47%) male and 478 (2/52%) female) were evaluated. Mean age was 42/27± 14years (44/2±14/26 for male and 40/5±13/5 for female). Prevalence of metabolic syndrome was 22/8%, 28/4%, 30/9% and 16/9% according to ATPIII, IDF, Harmonized I and Harmonized II criteria respectively and increased with age in both sexes. IDF and Harmonized I had most kappa coordination (0/94). Conclusion: The results show a high prevalence of metabolic syndrome in Ahvaz. So, identification of the risk factors should be attempted to prevent metabolic syndrome. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=metabolic%20syndrome" title="metabolic syndrome">metabolic syndrome</a>, <a href="https://publications.waset.org/abstracts/search?q=IDF" title=" IDF"> IDF</a>, <a href="https://publications.waset.org/abstracts/search?q=ATP%20III" title=" ATP III"> ATP III</a>, <a href="https://publications.waset.org/abstracts/search?q=prevalence" title=" prevalence "> prevalence </a> </p> <a href="https://publications.waset.org/abstracts/16543/prevalence-of-metabolic-syndrome-according-to-different-criteria-in-population-over-20-years-old-in-ahvaz" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/16543.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">579</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1049</span> Detecting Potential Biomarkers for Ulcerative Colitis Using Hybrid Feature Selection</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mustafa%20Alshawaqfeh%03">Mustafa Alshawaqfeh</a>, <a href="https://publications.waset.org/abstracts/search?q=Bilal%20Wajidy"> Bilal Wajidy</a>, <a href="https://publications.waset.org/abstracts/search?q=Echin%20Serpedin"> Echin Serpedin</a>, <a href="https://publications.waset.org/abstracts/search?q=Jan%20Suchodolski"> Jan Suchodolski</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Inflammatory Bowel disease (IBD) is a disease of the colon with characteristic inflammation. Clinically IBD is detected using laboratory tests (blood and stool), radiology tests (imaging using CT, MRI), capsule endoscopy and endoscopy. There are two variants of IBD referred to as Ulcerative Colitis (UC) and Crohn’s disease. This study employs a hybrid feature selection method that combines a correlation-based variable ranking approach with exhaustive search wrapper methods in order to find potential biomarkers for UC. The proposed biomarkers presented accurate discriminatory power thereby identifying themselves to be possible ingredients to UC therapeutics. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=ulcerative%20colitis" title="ulcerative colitis">ulcerative colitis</a>, <a href="https://publications.waset.org/abstracts/search?q=biomarker%20detection" title=" biomarker detection"> biomarker detection</a>, <a href="https://publications.waset.org/abstracts/search?q=feature%20selection" title=" feature selection"> feature selection</a>, <a href="https://publications.waset.org/abstracts/search?q=inflammatory%20bowel%20disease%20%28IBD%29" title=" inflammatory bowel disease (IBD)"> inflammatory bowel disease (IBD)</a> </p> <a href="https://publications.waset.org/abstracts/40941/detecting-potential-biomarkers-for-ulcerative-colitis-using-hybrid-feature-selection" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/40941.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">403</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1048</span> Micro RNAs (194 and 135a) as Biomarkers and Therapeutic Targets in Type 2 Diabetic Rats </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=H.%20Haseena%20Banu">H. Haseena Banu</a>, <a href="https://publications.waset.org/abstracts/search?q=D.%20Karthick"> D. Karthick</a>, <a href="https://publications.waset.org/abstracts/search?q=R.%20Stalin"> R. Stalin</a>, <a href="https://publications.waset.org/abstracts/search?q=E.%20Nandha%20Kumar"> E. Nandha Kumar</a>, <a href="https://publications.waset.org/abstracts/search?q=T.%20P.%20Sachidanandam"> T. P. Sachidanandam</a>, <a href="https://publications.waset.org/abstracts/search?q=P.%20Shanthi"> P. Shanthi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background of the study: Type 2 diabetes is emerging as the predominant metabolic disorder in the world among adults characterized mainly by the resistance of the insulin sensitive tissues towards insulin followed by the decrease in the insulin secretion. The treatment for this disease usually involves treatment with oral synthetic drugs which are known to cause several side effects. Therefore, identification of new biomarkers as therapeutic target is the need of the hour. miRNAs are small, non–protein-coding RNAs that negatively regulate gene expression by promoting degradation and/or inhibit the translation of target mRNAs and have emerged as biomarkers in predicting diabetes mellitus. Objective of the study: To elucidate the therapeutic role of gallic acid in modulating the alterations in glucose metabolism induced by miRNAs 194 and 135a in Type 2 diabetic rats. Materials and Methods: T2D was induced in rats by feeding them with a high fat diet for 2 weeks followed by intraperitoneal injection of 35 mg/kg/body weight (b.wt.) of streptozotocin. Microarrays were used to assess the expression of miRNAs in control, diabetic and gallic acid treated rats. Gene expression studies were carried out by RT PCR analysis. Results: Forty one miRNAs were differentially expressed in Type 2 diabetic rats. Among these, the expression of miRNA 194 was significantly decreased whereas miRNA 135a was significantly increased in Type 2 diabetic rats. The glucose metabolism was also altered significantly in skeletal muscle of Type 2 diabetic rats. Conclusion: T2D is associated with alterations in the expression of miRNAs in skeletal muscle. Both these miRNAs 194 and 135a play an important role in glucose metabolism in skeletal muscle of diabetic rats. Gallic acid effectively ameliorated the alterations in glucose metabolism. Hence, both these miRNAs can serve as biomarkers and therapeutic targets in diabetes mellitus. The study also establishes the role of gallic acid as therapeutic agent. Acknowledgment: The financial assistance provided in the form of ICMR women scientist by ICMR DHR INDIA is gratefully acknowledged here. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=gallic%20acid" title="gallic acid">gallic acid</a>, <a href="https://publications.waset.org/abstracts/search?q=high%20fat%20diet" title=" high fat diet"> high fat diet</a>, <a href="https://publications.waset.org/abstracts/search?q=type%202%20diabetes%20mellitus" title=" type 2 diabetes mellitus"> type 2 diabetes mellitus</a>, <a href="https://publications.waset.org/abstracts/search?q=miRNAs" title=" miRNAs"> miRNAs</a> </p> <a href="https://publications.waset.org/abstracts/64261/micro-rnas-194-and-135a-as-biomarkers-and-therapeutic-targets-in-type-2-diabetic-rats" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/64261.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">349</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1047</span> Nutrition Intervention for Spinal Cord Injury in Critical Care</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Dina%20Muharib">Dina Muharib</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Specific metabolic challenges are present following spinal cord injury. The acute stage is characterized by a reduction in metabolic activity, as well as a negative nitrogen balance that cannot be corrected, even with aggressive nutritional support. Metabolic demands need to be accurately monitored to avoid overfeeding. Enteral feeding is the optimal route following SCI. When oral feeding is not possible, nasogastric, followed by nasojejunal, then by percutaneous endoscopic gastrostomy, if necessary, is suggested. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=SCI" title="SCI">SCI</a>, <a href="https://publications.waset.org/abstracts/search?q=energy" title=" energy"> energy</a>, <a href="https://publications.waset.org/abstracts/search?q=protein" title=" protein"> protein</a>, <a href="https://publications.waset.org/abstracts/search?q=nutrition%20assessment" title=" nutrition assessment"> nutrition assessment</a>, <a href="https://publications.waset.org/abstracts/search?q=eneral%20feeding" title=" eneral feeding"> eneral feeding</a>, <a href="https://publications.waset.org/abstracts/search?q=nitrogen%20balance" title=" nitrogen balance "> nitrogen balance </a> </p> <a href="https://publications.waset.org/abstracts/21815/nutrition-intervention-for-spinal-cord-injury-in-critical-care" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/21815.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">466</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1046</span> Integrative Transcriptomic Profiling of NK Cells and Monocytes: Advancing Diagnostic and Therapeutic Strategies for COVID-19</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Salma%20Loukman">Salma Loukman</a>, <a href="https://publications.waset.org/abstracts/search?q=Reda%20Benmrid"> Reda Benmrid</a>, <a href="https://publications.waset.org/abstracts/search?q=Najat%20Bouchmaa"> Najat Bouchmaa</a>, <a href="https://publications.waset.org/abstracts/search?q=Hicham%20Hboub"> Hicham Hboub</a>, <a href="https://publications.waset.org/abstracts/search?q=Rachid%20El%20Fatimy"> Rachid El Fatimy</a>, <a href="https://publications.waset.org/abstracts/search?q=Rachid%20Benhida"> Rachid Benhida</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this study, it use integrated transcriptomic datasets from the GEO repository with the purpose of investigating immune dysregulation in COVID-19. Thus, in this context, we decided to be focused on NK cells and CD14+ monocytes gene expression, considering datasets GSE165461 and GSE198256, respectively. Other datasets with PBMCs, lung, olfactory, and sensory epithelium and lymph were used to provide robust validation for our results. This approach gave an integrated view of the immune responses in COVID-19, pointing out a set of potential biomarkers and therapeutic targets with special regard to standards of physiological conditions. IFI27, MKI67, CENPF, MBP, HBA2, TMEM158, THBD, HBA1, LHFPL2, SLA, and AC104564.3 were identified as key genes from our analysis that have critical biological processes related to inflammation, immune regulation, oxidative stress, and metabolic processes. Consequently, such processes are important in understanding the heterogeneous clinical manifestations of COVID-19—from acute to long-term effects now known as 'long COVID'. Subsequent validation with additional datasets consolidated these genes as robust biomarkers with an important role in the diagnosis of COVID-19 and the prediction of its severity. Moreover, their enrichment in key pathophysiological pathways presented them as potential targets for therapeutic intervention.The results provide insight into the molecular dynamics of COVID-19 caused by cells such as NK cells and other monocytes. Thus, this study constitutes a solid basis for targeted diagnostic and therapeutic development and makes relevant contributions to ongoing research efforts toward better management and mitigation of the pandemic. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=SARS-COV-2" title="SARS-COV-2">SARS-COV-2</a>, <a href="https://publications.waset.org/abstracts/search?q=RNA-seq" title=" RNA-seq"> RNA-seq</a>, <a href="https://publications.waset.org/abstracts/search?q=biomarkers" title=" biomarkers"> biomarkers</a>, <a href="https://publications.waset.org/abstracts/search?q=severity" title=" severity"> severity</a>, <a href="https://publications.waset.org/abstracts/search?q=long%20COVID-19" title=" long COVID-19"> long COVID-19</a>, <a href="https://publications.waset.org/abstracts/search?q=bio%20analysis" title=" bio analysis"> bio analysis</a> </p> <a href="https://publications.waset.org/abstracts/193566/integrative-transcriptomic-profiling-of-nk-cells-and-monocytes-advancing-diagnostic-and-therapeutic-strategies-for-covid-19" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/193566.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">12</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1045</span> Metabolic Cost and Perceived Exertion during Progressive and Randomized Walking Protocols</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Simeon%20E.%20H.%20Davies">Simeon E. H. Davies</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study investigated whether selected metabolic responses and the perception of effort varied during four different walk protocols where speed increased progressively 3, 4, 5, 6, and 7 km/hr (progressive treadmill walk (PTW); and progressive land walk (PLW); or where the participant adjusted to random changes of speed e.g. 6, 3, 7, 4, and 5 km/hr during a randomized treadmill walk (RTW); and a randomized land walk (RLW). Mean stature and mass of the seven participants was 1.75m and 70kg respectively, with a mean body fat of 15%. Metabolic measures including heart rate, relative oxygen uptake, ventilation, increased in a linear fashion up to 6 km/hr, however at 7 km/hr there was a significant increase in metabolic response notably during the PLW, and to a similar, although lesser extent in RLW, probably as a consequence of the loss of kinetic energy when turning at each cone in order to maintain the speed during each shuttle. Respiration frequency appeared to be a more sensitive indicator of physical exertion, exhibiting a rapid elevation at 5 km/hr. The perception of effort during each mode and at each speed was largely congruent during each walk protocol. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=exertion" title="exertion">exertion</a>, <a href="https://publications.waset.org/abstracts/search?q=metabolic" title=" metabolic"> metabolic</a>, <a href="https://publications.waset.org/abstracts/search?q=progressive" title=" progressive"> progressive</a>, <a href="https://publications.waset.org/abstracts/search?q=random" title=" random"> random</a>, <a href="https://publications.waset.org/abstracts/search?q=walking" title=" walking"> walking</a> </p> <a href="https://publications.waset.org/abstracts/42323/metabolic-cost-and-perceived-exertion-during-progressive-and-randomized-walking-protocols" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/42323.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">462</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1044</span> Prevalence of Metabolic Syndrome among Adult Obese Type 2 Diabetic Subjects</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mehwish%20Azam">Mehwish Azam</a>, <a href="https://publications.waset.org/abstracts/search?q=Muhammad%20Imran"> Muhammad Imran</a>, <a href="https://publications.waset.org/abstracts/search?q=Humaira%20Jabeen"> Humaira Jabeen</a>, <a href="https://publications.waset.org/abstracts/search?q=Sumreen%20Begum"> Sumreen Begum</a>, <a href="https://publications.waset.org/abstracts/search?q=Rashida%20Qasim"> Rashida Qasim</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background: Metabolic syndrome is a cluster of metabolic risk factors including obesity, glucose intolerance, insulin resistance, dyslipidemia and hypertension. Metabolic syndrome in obese and type 2 diabetic subjects increases the risk of cardiovascular diseases (CVD). Globally, the prevalence of metabolic syndrome ranges from 10%-50% and in Pakistan ranges from 18%-46%. The objective of the present study is to estimate the prevalence of metabolic syndrome (MS) in obese type 2 diabetic subjects by using International Diabetes Federation (IDF) and National Cholesterol Education Program-Adult Treatment Panel III (NCEP-ATP III) definitions. Methods: Obese type 2 diabetic subjects and normal healthy subjects of both genders were selected from diabetic clinics and hospitals of various localities of Karachi, Pakistan. The frequency of metabolic syndrome was estimated by the proposed definitions of IDF and NCEP-ATP III. Results: The prevalence of metabolic syndrome using International Diabetes Federation (IDF) definition in obese type 2 diabetic subjects was 85.7%. It is significantly higher (p<0.05) in females (47.1%) as compared to males (38.6%). While, using National Cholesterol Education Program-Adult Treatment Panel III (NCEP-ATP III) definition the overall prevalence of metabolic syndrome in obese type 2 diabetic subjects was 75.7%, the prevalence is significantly higher (p<0.05) in females (45.7%) than males (30.0%). Conclusion: It is concluded that, the overall prevalence of metabolic syndrome is increasing significantly in obese type 2 diabetic subjects by using IDF and NCEP–ATP III definitions. Therefore, it is need to initiate the preventive measures by arranging public awareness programmes to highlight the significance of a healthy lifestyle and emphasis should be given to reduce weight, increase physical activity, and increase intake of healthy low-glycemic-index foods. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=metabolic%20syndrome" title="metabolic syndrome">metabolic syndrome</a>, <a href="https://publications.waset.org/abstracts/search?q=diabetes%20mellitus" title=" diabetes mellitus"> diabetes mellitus</a>, <a href="https://publications.waset.org/abstracts/search?q=obesity" title=" obesity"> obesity</a>, <a href="https://publications.waset.org/abstracts/search?q=IDF" title=" IDF"> IDF</a>, <a href="https://publications.waset.org/abstracts/search?q=NCEP-ATP%20III" title=" NCEP-ATP III "> NCEP-ATP III </a> </p> <a href="https://publications.waset.org/abstracts/18705/prevalence-of-metabolic-syndrome-among-adult-obese-type-2-diabetic-subjects" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/18705.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">572</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1043</span> Interaction Between Gut Microorganisms and Endocrine Disruptors - Effects on Hyperglycaemia</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Karthika%20Durairaj">Karthika Durairaj</a>, <a href="https://publications.waset.org/abstracts/search?q=Buvaneswari%20G."> Buvaneswari G.</a>, <a href="https://publications.waset.org/abstracts/search?q=Gowdham%20M."> Gowdham M.</a>, <a href="https://publications.waset.org/abstracts/search?q=Gilles%20M."> Gilles M.</a>, <a href="https://publications.waset.org/abstracts/search?q=Velmurugan%20G."> Velmurugan G.</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background: Hyperglycaemia is the primary cause of metabolic illness. Recently, researchers focused on the possibility that chemical exposure could promote metabolic disease. Hyperglycaemia causes a variety of metabolic diseases dependent on its etiologic conditions. According to animal and population-based research, individual chemical exposure causes health problems through alteration of endocrine function with the influence of microbial influence. We were intrigued by the function of gut microbiota variation in high fat and chemically induced hyperglycaemia. Methodology: C57/Bl6 mice were subjected to two different treatments to generate the etiologic-based diabetes model: I – a high-fat diet with a 45 kcal diet, and II - endocrine disrupting chemicals (EDCs) cocktail. The mice were monitored periodically for changes in body weight and fasting glucose. After 120 days of the experiment, blood anthropometry, faecal metagenomics and metabolomics were performed and analyzed through statistical analysis using one-way ANOVA and student’s t-test. Results: After 120 days of exposure, we found hyperglycaemic changes in both experimental models. The treatment groups also differed in terms of plasma lipid levels, creatinine, and hepatic markers. To determine the influence on glucose metabolism, microbial profiling and metabolite levels were significantly different between groups. The gene expression studies associated with glucose metabolism vary between hosts and their treatments. Conclusion: This research will result in the identification of biomarkers and molecular targets for better diabetes control and treatment. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=hyperglycaemia" title="hyperglycaemia">hyperglycaemia</a>, <a href="https://publications.waset.org/abstracts/search?q=endocrine-disrupting%20chemicals" title=" endocrine-disrupting chemicals"> endocrine-disrupting chemicals</a>, <a href="https://publications.waset.org/abstracts/search?q=gut%20microbiota" title=" gut microbiota"> gut microbiota</a>, <a href="https://publications.waset.org/abstracts/search?q=host%20metabolism" title=" host metabolism"> host metabolism</a> </p> <a href="https://publications.waset.org/abstracts/185837/interaction-between-gut-microorganisms-and-endocrine-disruptors-effects-on-hyperglycaemia" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/185837.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">41</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1042</span> Identification of Potential Predictive Biomarkers for Early Diagnosis of Preeclampsia Growth Factors to microRNAs</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sadia%20Munir">Sadia Munir</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Preeclampsia is the contributor to the worldwide maternal mortality of approximately 100,000 deaths a year. It complicates about 10% of all pregnancies and is the first cause of maternal admission to intensive care units. Predicting preeclampsia is a major challenge in obstetrics. More importantly, no major progress has been achieved in the treatment of preeclampsia. As placenta is the main cause of the disease, the only way to treat the disease is to extract placental and deliver the baby. In developed countries, the cost of an average case of preeclampsia is estimated at £9000. Interestingly, preeclampsia may have an impact on the health of mother or infant, beyond the pregnancy. We performed a systematic search of PubMed including the combination of terms such as preeclampsia, biomarkers, treatment, hypoxia, inflammation, oxidative stress, vascular endothelial growth factor A, activin A, inhibin A, placental growth factor, transforming growth factor β-1, Nodal, placenta, trophoblast cells, microRNAs. In this review, we have summarized current knowledge on the identification of potential biomarkers for the diagnosis of preeclampsia. Although these studies show promising data in early diagnosis of preeclampsia, the current value of these factors as biomarkers, for the precise prediction of preeclampsia, has its limitation. Therefore, future studies need to be done to support some of the very promising and interesting data to develop affordable and widely available tests for early detection and treatment of preeclampsia. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=activin" title="activin">activin</a>, <a href="https://publications.waset.org/abstracts/search?q=biomarkers" title=" biomarkers"> biomarkers</a>, <a href="https://publications.waset.org/abstracts/search?q=growth%20factors" title=" growth factors"> growth factors</a>, <a href="https://publications.waset.org/abstracts/search?q=miroRNA" title=" miroRNA"> miroRNA</a> </p> <a href="https://publications.waset.org/abstracts/25547/identification-of-potential-predictive-biomarkers-for-early-diagnosis-of-preeclampsia-growth-factors-to-micrornas" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/25547.pdf" target="_blank" class="btn btn-primary 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