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Strain-specific gut microbial signatures in type 2 diabetes identified in a cross-cohort analysis of 8,117 metagenomes - Peeref
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<ul class="nav navbar-nav navbar-right" style="display: inline-flex; align-items: center; margin-left: 20px;"> <li id="language" class="d-none d-xl-inline-flex"> <a href="javascript:"> <div class="current"> <i class="ivu-icon ivu-icon-md-globe"></i> EN </div> </a> <div class="selection"> <a rel="alternate" hreflang="en" href="https://www.peeref.com/works/83099090" > <span>English</span> </a> <a rel="alternate" hreflang="zh" href="https://www.peeref.com/zh/works/83099090" > <span>中文</span> </a> </div> </li> </ul> </ul> </div> </nav> <main> <div id="top-info-banner" class="container-fluid mb-0"> <div class="container"> <div class="d-flex align-items-center" style="margin-top: 30px;"> <span class="text-white"> <strong class="f18">☆</strong> <span class="f16">4.8</span> </span> <span class="mx-3"></span> <span class="tag">Article</span> </div> <h1 class="title title-for-article"> Strain-specific gut microbial signatures in type 2 diabetes identified in a cross-cohort analysis of 8,117 metagenomes </h1> <div class="help-links-left"> <p class="pub-info"> NATURE MEDICINE (2024) </p> </div> </div> </div> <div id="article-sticky-navbar"> <div class="container"> <div class="d-flex justify-content-between flex-wrap flex-md-nowrap"> <div class="d-flex align-items-center mb-2"> <ul class="nav nav-underline f16 font-weight-bold"> <li class="active"> <a href="javascript:;"> Overview </a> </li> <li class=""> <a href="https://www.peeref.com/works/83099090/comments"> Write a Review </a> </li> </ul> </div> <div class="d-flex align-items-center justify-content-md-end flex-wrap flex-md-nowrap"> <div class="mr-3 mt-3 mt-md-0 flex-shrink-0"> <a href="https://doi.org/10.1038/s41591-024-03067-7" target="_blank" class="btn btn-warning btn-circle"> <i class="ivu-icon ivu-icon-md-copy f16"></i> <strong>Get Full Text</strong> </a> </div> <div class="mr-3 mt-3 mt-md-0 flex-shrink-0"> <a href="https://www.peeref.com/works/83099090/add-to-collection" class="btn btn-success btn-circle"> 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</div> </div> <div id="article-details" class="container"> <div class="col-md-4 px-0 pr-md-3"> <div class="f15 panel-box rounded shadow-none border"> <div class="mb-3 pb-3"> <h4 class="mt-0">Journal</h4> <div class="f16"> <h5 class="title f16"> <a href="https://www.peeref.com/journals/6063/nature-medicine"> NATURE MEDICINE </a> </h5> <span> Volume -, Issue -, Pages - </span> </div> </div> <div class="mb-3 pb-3"> <h4 class="mt-0">Publisher</h4> <div class="f16"> <h5 class="title f16 text-primary"> NATURE PORTFOLIO </h5> <div class="my-2"> DOI: 10.1038/s41591-024-03067-7 </div> </div> </div> <div class="mb-3 pb-3"> <h4 class="mt-0">Keywords</h4> <div class="f16"> - </div> </div> <div class="mb-3 pb-3"> <h4 class="mt-0">Categories</h4> <div class="f16"> <span class="d-block"> <a href="https://www.peeref.com/works/list?category=Biochemistry+%26+Molecular+Biology" target="_blank" class="text-dark btn btn-link p-0 text-left"> Biochemistry & Molecular Biology </a> </span> <span class="d-block"> <a href="https://www.peeref.com/works/list?category=Cell+Biology" target="_blank" class="text-dark btn btn-link p-0 text-left"> Cell Biology </a> </span> <span class="d-block"> <a href="https://www.peeref.com/works/list?category=Medicine%2C+Research+%26+Experimental" target="_blank" class="text-dark btn btn-link p-0 text-left"> Medicine, Research & Experimental </a> </span> </div> </div> <div class="mb-3 pb-3"> <h4 class="mt-0">Funding</h4> <div class="f16"> <ol class=""> <li>U.S. Department of Health & Human Services | National Institutes of Health (NIH)</li> <li>Nurses' Health Study II (NHSII) [R00 DK119412]</li> <li>Hispanic Community Health Study/Study of Latinos (HCHS/SOL) - National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) [P30 DK046200, R24 DK110499]</li> <li>Boston Nutrition Obesity Research Center Pilot and Feasibility Program [R01 NR01999]</li> <li>National Institute of Nursing Research [R01 AG077489, RF1 AG083764]</li> <li>National Institute on Aging [R35 CA253185]</li> <li>National Cancer Institute (NCI) [897161, U01 CA167552, R01 HL035464]</li> <li>American Heart Association Postdoctoral Fellowship [U01 CA152904]</li> <li>National Institutes of Health (NIH)</li> <li>NCI [I7-A714, U01 CA176726]</li> <li>STARR Cancer Consortium Award [P01 CA055075]</li> <li>NIH [HHSN268201300001I/N01-HC-65233, HHSN268201300004I/N01-HC-65234]</li> <li>National Heart, Lung and Blood Institute (NHLBI) [HHSN268201300002I/N01-HC-65235]</li> <li>Albert Einstein College of Medicine [HHSN268201300005I/N01-HC-65237]</li> <li>San Diego State University</li> <li>NHLBI: National Institute on Minority Health and Health Disparities (NIMHD), National Institute on Deafness and Other Communication Disorders, National Institute of Dental and Craniofacial Research, NIDDK [R01 MD011389]</li> <li>NIH Institution-Office of Dietary Supplements</li> <li>NIMHD [P30 DK111022-8786, P30 DK111022]</li> <li>Life Course Methodology Core at Albert Einstein College of Medicine [R01 HL060712]</li> <li>NIDDK [SFB1052, SFB-1052/B11]</li> <li>NHLBI - Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) Collaborative Research Center [87472511]</li> <li>Israel Ministry of Health [3-13604]</li> <li>Israel Ministry of Science and Technology</li> <li>California Walnuts Commission</li> <li>CABALA_DIETHEALTH Project</li> <li>European Union</li> <li>American Heart Association (AHA) [897161] Funding Source: American Heart Association (AHA)</li> </ol> </div> </div> </div> <div class="f15 panel-box rounded shadow-none border"> <h4 class="mt-0 text-center">Ask authors/readers for more resources</h4> <div class="requests"> <div class="requests-item"> <div class="icon"> <img src="https://peeref-open.s3.amazonaws.com/images/file.png" alt=""> </div> <h4>Protocol</h4> <p> <a href="https://www.peeref.com/works/83099090/resource" class="btn btn-outline-primary btn-sm"> Community support </a> </p> </div> <div class="requests-item"> <div class="icon"> <img src="https://peeref-open.s3.amazonaws.com/images/experiment.png" alt=""> </div> <h4>Reagent</h4> <p> <a href="https://www.peeref.com/works/83099090/resource" class="btn btn-outline-primary btn-sm"> Community support </a> </p> </div> </div> </div> </div> <div class="col-md-8 px-0 pl-md-3"> <div id="article-summary-panel" class="mb-4"> <ul class="nav nav-tabs" style="list-style: none; padding-left: 0;"> <li class="active"> <a href="#ai_summary" data-toggle="tab" class="summary-tab mx-0 f16 text-dark"> <strong>Automated Summary</strong> <strong class="text-danger ml-1"><i>New</i></strong> </a> </li> <li class=""> <a href="#raw_abstract" data-toggle="tab" class="abstract-tab mx-0 f16 text-dark"> <strong>Abstract</strong> </a> </li> </ul> <div class="tab-content border border-top-0"> <div id="ai_summary" class="tab-pane active"> <div class="summary-panel panel-box mb-0 rounded shadow-none"> <div class="f16">This study comprehensively analyzed the T2D microbiome, identified microbial species and community functional changes associated with T2D, and determined the relationships between intraspecies phylogenetic diversity and T2D risk for some strains. The study also revealed the associations of some strain-specific gene carriage and new biological processes with T2D.</div> </div> </div> <div id="raw_abstract" class="tab-pane "> <div class="abstract-panel panel-box mb-0 rounded shadow-none"> <div class="f16">The association of gut microbial features with type 2 diabetes (T2D) has been inconsistent due in part to the complexity of this disease and variation in study design. Even in cases in which individual microbial species have been associated with T2D, mechanisms have been unable to be attributed to these associations based on specific microbial strains. We conducted a comprehensive study of the T2D microbiome, analyzing 8,117 shotgun metagenomes from 10 cohorts of individuals with T2D, prediabetes, and normoglycemic status in the United States, Europe, Israel and China. Dysbiosis in 19 phylogenetically diverse species was associated with T2D (false discovery rate < 0.10), for example, enriched Clostridium bolteae and depleted Butyrivibrio crossotus. These microorganisms also contributed to community-level functional changes potentially underlying T2D pathogenesis, for example, perturbations in glucose metabolism. Our study identifies within-species phylogenetic diversity for strains of 27 species that explain inter-individual differences in T2D risk, such as Eubacterium rectale. In some cases, these were explained by strain-specific gene carriage, including loci involved in various mechanisms of horizontal gene transfer and novel biological processes underlying metabolic risk, for example, quorum sensing. In summary, our study provides robust cross-cohort microbial signatures in a strain-resolved manner and offers new mechanistic insights into T2D.</div> </div> </div> </div> </div> <div class="f15 panel-box rounded shadow-none border"> <h4 class="mt-0 heading-count">Authors</h4> <div class="mb-3"> <article-authors tid="83099090" list="[{"name":"Zhendong Mei","sequence":1},{"name":"Fenglei Wang","sequence":2},{"name":"Amrisha Bhosle","sequence":3},{"name":"Danyue Dong","sequence":4},{"name":"Raaj Mehta","sequence":5},{"name":"Andrew Ghazi","sequence":6},{"name":"Yancong Zhang","sequence":7},{"name":"Yuxi Liu","sequence":8},{"name":"Ehud Rinott","sequence":9},{"name":"Siyuan Ma","sequence":10},{"name":"Eric B. Rimm","sequence":11},{"name":"Martha Daviglus","sequence":12},{"name":"Walter C. Willett","sequence":13},{"name":"Rob Knight","sequence":14},{"name":"Frank B. Hu","sequence":15},{"name":"Qibin Qi","sequence":16},{"name":"Andrew T. Chan","sequence":17},{"name":"Robert D. Burk","sequence":18},{"name":"Meir J. Stampfer","sequence":19},{"name":"Iris Shai","sequence":20},{"name":"Robert C. Kaplan","sequence":21},{"name":"Curtis Huttenhower","sequence":22},{"name":"Dong D. Wang","sequence":23}]" verified="[]" page="work" ></article-authors> </div> <div class="alert alert-warning mb-0"> <h5 class="mt-0 bg-warning text-dark px-3 rounded d-inline-block"> I am an author on this paper </h5> <div class="font-weight-bold f13"> Click your name to claim this paper and add it to your profile. </div> </div> </div> <div class="f15 panel-box rounded shadow-none border"> <h4 class="mt-0 heading-count">Reviews</h4> <div class="d-flex flex-wrap flex-md-nowrap"> <div class="flex-grow-1"> <h4 class="f16"> Primary Rating <a href="javascript:;" data-toggle="tooltip" data-placement="right" title="The primary rating indicates the level of overall quality for the paper."> <i class="ivu-icon ivu-icon-md-help-circle f18 ml-2"></i> </a> </h4> <div class="d-flex flex-wrap flex-md-nowrap align-items-center alert mb-0"> <div class="d-flex align-items-center justify-content-center"> <Rate disabled allow-half value="4.8" style="font-size: 28px;"></Rate> <strong class="f20 m-3" style="color: #f5a623;">4.8</strong> </div> <div class="text-muted mx-4"> Not enough ratings </div> </div> <h4 class="f16"> Secondary Ratings <a href="javascript:;" data-toggle="tooltip" data-placement="right" title="Secondary ratings independently reflect strengths or weaknesses of the paper."> <i class="ivu-icon ivu-icon-md-help-circle f18 ml-2"></i> </a> </h4> <div class="d-flex flex-wrap flex-md-nowrap alert"> <div class="d-flex flex-shrink-0 align-items-center mr-3"> <h5 class="my-0">Novelty</h5> <strong class="mx-4">-</strong> </div> <div class="d-flex flex-shrink-0 align-items-center mr-3"> <h5 class="my-0">Significance</h5> <strong class="mx-4">-</strong> </div> <div class="d-flex flex-shrink-0 align-items-center mr-3"> <h5 class="my-0">Scientific rigor</h5> <strong class="mx-4">-</strong> </div> </div> </div> <div class="flex-shrink-0"> <div class="border bg-light py-2 px-4"> <h5 class="mb-1">Rate this paper</h5> <Rate class="f24" @on-change="function(value){ location.href='https://www.peeref.com/works/83099090/comments?rating='+value }"></Rate> </div> </div> </div> </div> <div id="collection" class="f15 panel-box rounded shadow-none border"> <h4 class="mt-0 heading-count">Recommended</h4> <div class="my-3"> <ul class="nav nav-pills border-bottom pb-3" style="list-style: none; padding-left: 0;"> <li class="active"> <a href="#articles_from_related" data-toggle="tab" class="mx-0 f15"> <strong>Related</strong> </a> </li> <li class=""> <a href="#articles_from_authors" data-toggle="tab" class="mx-0 f15"> <strong>From Same Authors</strong> </a> </li> <li class=""> <a href="#articles_from_journal" data-toggle="tab" class="mx-0 f15"> <strong>From Same Journal</strong> </a> </li> </ul> <div class="tab-content"> <div id="articles_from_related" class="tab-pane active"> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Gastroenterology & Hepatology </span> </div> <h4> <a href="https://www.peeref.com/works/25325189" class="text-dark hover-underline">Integrated Analysis of Colorectal Cancer Reveals Cross-Cohort Gut Microbial Signatures and Associated Serum Metabolites</a> </h4> <p class="text-ellipsis-2">Renyuan Gao, Chunyan Wu, Yefei Zhu, Cheng Kong, Yin Zhu, Yaohui Gao, Xiaohui Zhang, Rong Yang, Hui Zhong, Xiao Xiong, Chunqiu Chen, Qian Xu, Huanlong Qin</p> <div class="d-flex mb-3"> <div class="flex-shrink-0 d-none d-sm-block"> <img src="https://peeref-open.s3.amazonaws.com/storage/images/covers/2985.jpg" alt="" class="border mr-3" width="100"> </div> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> This study identified microbial and metabolic signatures of colorectal cancer (CRC) with broad population relevance, developed a diagnostic panel for CRC and adenoma, and linked many CRC-associated metabolites with gut microbiome signatures of the disease, providing new insights for exploring CRC-related features. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">GASTROENTEROLOGY</span> (2022) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/25325189/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Gastroenterology & Hepatology </span> </div> <h4> <a href="https://www.peeref.com/works/26201165" class="text-dark hover-underline">Unique Pakistani gut microbiota highlights population-specific microbiota signatures of type 2 diabetes mellitus</a> </h4> <p class="text-ellipsis-2">Afshan Saleem, Aamer Ikram, Evgenia Dikareva, Emilia Lahtinen, Dollwin Matharu, Anne-Maria Pajari, Willem M. de Vos, Fariha Hasan, Anne Salonen, Ching Jian</p> <div class="d-flex mb-3"> <div class="flex-shrink-0 d-none d-sm-block"> <img src="https://peeref-open.s3.amazonaws.com/storage/images/covers/10591.jpg" alt="" class="border mr-3" width="100"> </div> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> Biogeographic variations in gut microbiota play a pivotal role in understanding host-microbiota interactions in lifestyle-related diseases. This study examines the gut microbiota of Pakistani adults, who have a high prevalence of T2D, and compares it with other populations. The study finds that urbanized Pakistanis' gut microbiota is similar to transitional or non-industrialized populations, and those with T2D have unique microbial signatures. These findings highlight the importance of studying understudied populations for the applicability of microbiota-based diagnostics and therapeutics. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">GUT MICROBES</span> (2022) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/26201165/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Ophthalmology </span> </div> <h4> <a href="https://www.peeref.com/works/33413024" class="text-dark hover-underline">Metagenomic Sequencing Analysis Identifies Cross-Cohort Gut Microbial Signatures Associated With Age-Related Macular Degeneration</a> </h4> <p class="text-ellipsis-2">Wei Xue, Peiyao Peng, Xiaofeng Wen, Huan Meng, Yali Qin, Tingting Deng, Shixin Guo, Tingting Chen, Xifang Li, Juanran Liang, Feng Zhang, Zhi Xie, Ming Jin, Qiaoxing Liang, Lai Wei</p> <div class="d-flex mb-3"> <div class="flex-shrink-0 d-none d-sm-block"> <img src="https://peeref-open.s3.amazonaws.com/storage/images/covers/3959.jpg" alt="" class="border mr-3" width="100"> </div> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> This study investigated the dysbiosis of gut microbiota associated with age-related macular degeneration (AMD) in Chinese and Swiss cohorts. Cross-cohort gut microbial signatures involving bacterial taxa, viral communities, and metabolic pathways associated with AMD were identified, providing potential targets for the prevention and treatment of AMD. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE</span> (2023) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/33413024/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Endocrinology & Metabolism </span> </div> <h4> <a href="https://www.peeref.com/works/28851118" class="text-dark hover-underline">Dysbiosis signatures of gut microbiota and the progression of type 2 diabetes: a machine learning approach in a Mexican cohort</a> </h4> <p class="text-ellipsis-2">Daniel Neri-Rosario, Yoscelina Estrella Martinez-Lopez, Diego A. Esquivel-Hernandez, Jean Paul Sanchez-Castaneda, Cristian Padron-Manrique, Aaron Vazquez-Jimenez, David Giron-Villalobos, Osbaldo Resendis-Antonio</p> <div class="d-flex mb-3"> <div class="flex-shrink-0 d-none d-sm-block"> <img src="https://peeref-open.s3.amazonaws.com/storage/images/covers/10214.jpg" alt="" class="border mr-3" width="100"> </div> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> GM dysbiosis is a causal factor for chronic metabolic diseases, such as type 2 diabetes mellitus. This study utilizes machine learning methods to distinguish individuals with prediabetes or type 2 diabetes. The results identify certain taxa that are associated with prediabetes and type 2 diabetes, providing insight into the distinctive signature of the gut microbiota and potential strategies for prevention and personalized interventions. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">FRONTIERS IN ENDOCRINOLOGY</span> (2023) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/28851118/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Medicine, Research & Experimental </span> </div> <h4> <a href="https://www.peeref.com/works/84512945" class="text-dark hover-underline">Microbial and proteomic signatures of type 2 diabetes in an Arab population</a> </h4> <p class="text-ellipsis-2">Selvasankar Murugesan, Ghada Yousif, Mohamed Nadhir Djekidel, Giusy Gentilcore, Jean Charles Grivel, Souhaila Al Khodor</p> <div class="d-flex mb-3"> <div class="flex-shrink-0 d-none d-sm-block"> <img src="https://peeref-open.s3.amazonaws.com/storage/images/covers/5392.jpg" alt="" class="border mr-3" width="100"> </div> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> This study analyzed the salivary microbiota and proteome of diabetic, pre-diabetic, and non-diabetic individuals in the Qatari population, identified significant differences, and determined potential T2D biomarkers. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">JOURNAL OF TRANSLATIONAL MEDICINE</span> (2024) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/84512945/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Gastroenterology & Hepatology </span> </div> <h4> <a href="https://www.peeref.com/works/22508097" class="text-dark hover-underline">Host and gut microbial tryptophan metabolism and type 2 diabetes: an integrative analysis of host genetics, diet, gut microbiome and circulating metabolites in cohort studies</a> </h4> <p class="text-ellipsis-2">Qibin Qi, Jun Li, Bing Yu, Jee-Young Moon, Jin C. Chai, Jordi Merino, Je Hu, Miguel Ruiz-Canela, Casey Rebholz, Zheng Wang, Mykhaylo Usyk, Guo-Chong Chen, Bianca C. Porneala, Wenshuang Wang, Ngoc Quynh Nguyen, Elena Feofanova, Megan L. Grove, Thomas J. Wang, Robert E. Gerszten, Josee Dupuis, Jordi Salas-Salvado, Wei Bao, David L. Perkins, Mariha L. Daviglus, Bharat Thyagarijan, Jianwen Cai, Tao Wang, JoAnn E. Manson, Miguel A. Martinez-Gonzalez, Elizabeth Selvin, Kathryn M. Rexrode, Clary B. Clish, Frank B. Hu, James B. Meigs, Rob Knight, Robert D. Burk, Eric Boerwinkle, Robert C. Kaplan</p> <div class="d-flex mb-3"> <div class="flex-shrink-0 d-none d-sm-block"> <img src="https://peeref-open.s3.amazonaws.com/storage/images/covers/3140.jpg" alt="" class="border mr-3" width="100"> </div> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> The study found positive associations between tryptophan and its metabolites with the risk of type 2 diabetes, while indolepropionate was inversely associated with the risk. Additionally, host genetic variants, dietary factors, gut bacteria, and their interplay related to these type 2 diabetes-related metabolites were identified. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">GUT</span> (2022) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/22508097/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Microbiology </span> </div> <h4> <a href="https://www.peeref.com/works/83020728" class="text-dark hover-underline">Gut microbiome signatures associated with type 2 diabetes in obesity in Mongolia</a> </h4> <p class="text-ellipsis-2">Akari Shinoda, Tsogtbaatar Lkhagvajav, Riko Mishima, Phatthanaphong Therdtatha, Dugersuren Jamiyan, Chantsaldulam Purevdorj, Sainbileg Sonomtseren, Battogtokh Chimeddorj, Bira Namdag, Yuan Kun Lee, Shirchin Demberel, Jiro Nakayama</p> <div class="d-flex mb-3"> <div class="flex-shrink-0 d-none d-sm-block"> <img src="https://peeref-open.s3.amazonaws.com/storage/images/covers/9447.jpg" alt="" class="border mr-3" width="100"> </div> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> Mongolian people have a high obesity rate, but a moderate incidence of type 2 diabetes, which is known as the Mongolian paradox. The study found that there were dysbiotic signatures in the gut microbiome of Mongolian adults with type 2 diabetes, while the gut microbiome of Mongolian adults without type 2 diabetes had a higher level of bacteria that produce short-chain fatty acids. Multiple logistic regression analysis showed that acetate had the greatest negative impact on the onset of type 2 diabetes. These findings suggest that short-chain fatty acids produced by the gut microbiota may play a role in preventing the development of type 2 diabetes in obesity in Mongolians. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">FRONTIERS IN MICROBIOLOGY</span> (2024) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/83020728/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Immunology </span> </div> <h4> <a href="https://www.peeref.com/works/23981301" class="text-dark hover-underline">Cross-Cohort Microbiome Analysis of Salivary Biomarkers in Patients With Type 2 Diabetes Mellitus</a> </h4> <p class="text-ellipsis-2">Chuqi Gao, Ying Guo, Feng Chen</p> <div class="d-flex mb-3"> <div class="flex-shrink-0 d-none d-sm-block"> <img src="https://peeref-open.s3.amazonaws.com/storage/images/covers/9444.jpg" alt="" class="border mr-3" width="100"> </div> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> Several studies have examined the differences in salivary microbiota between type 2 diabetes patients and healthy populations. However, the accuracy and reproducibility of these analyses when applied to other populations are still unclear. This comprehensive analysis evaluated the differences and predictive accuracy of salivary microbiota between diabetic and healthy individuals, and identified salivary biomarkers for diabetes. A classification model with a high accuracy was developed, which could be used for clinical diagnosis and monitoring. The results also suggest that microbiological markers may not become a universal clinical standard for humans. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">FRONTIERS IN CELLULAR AND INFECTION MICROBIOLOGY</span> (2022) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/23981301/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Review </span> <span class="d-inline-block badge badge-cyan"> Gastroenterology & Hepatology </span> </div> <h4> <a href="https://www.peeref.com/works/83874916" class="text-dark hover-underline">Gut microbial metabolic signatures in diabetes mellitus and potential preventive and therapeutic applications</a> </h4> <p class="text-ellipsis-2">Enriqueta Garcia-Gutierrez, A. Kate O'Mahony, Reinaldo Sousa Dos Santos, Laura Marroqui, Paul D. Cotter</p> <div class="d-flex mb-3"> <div class="flex-shrink-0 d-none d-sm-block"> <img src="https://peeref-open.s3.amazonaws.com/storage/images/covers/10591.jpg" alt="" class="border mr-3" width="100"> </div> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> Diabetes can be classified into several types, the most common of which are type 1 diabetes, type 2 diabetes, and gestational diabetes. These types of diabetes have different origins, but there are some common markers, such as intestinal barrier impairment and inflammation. The article also summarizes the microbial signatures associated with diabetes, their relationship with diet, and the progress in the targeted modulation of the gut microbiota for the prevention and treatment of diabetes. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">GUT MICROBES</span> (2024) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/83874916/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Endocrinology & Metabolism </span> </div> <h4> <a href="https://www.peeref.com/works/24054192" class="text-dark hover-underline">Gut Microbial Signatures for Glycemic Responses of GLP-1 Receptor Agonists in Type 2 Diabetic Patients: A Pilot Study</a> </h4> <p class="text-ellipsis-2">Chih-Yiu Tsai, Hsiu-Chen Lu, Yu-Hsien Chou, Po-Yu Liu, Hsin-Yun Chen, Meng-Chuan Huang, Chia-Hung Lin, Chi-Neu Tsai</p> <div class="d-flex mb-3"> <div class="flex-shrink-0 d-none d-sm-block"> <img src="https://peeref-open.s3.amazonaws.com/storage/images/covers/10214.jpg" alt="" class="border mr-3" width="100"> </div> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> This pilot study aimed to identify microbial signatures associated with glycemic responses to GLP-1 RA treatment in patients with T2D. The results showed that the microbial diversity differed significantly between responders and non-responders, and specific microbial features were correlated with glycemic reduction. These findings indicate that gut microbiota may play a role in the heterogeneity of responses to GLP-1 RA treatment in T2D. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">FRONTIERS IN ENDOCRINOLOGY</span> (2022) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/24054192/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Chemistry, Multidisciplinary </span> </div> <h4> <a href="https://www.peeref.com/works/83634095" class="text-dark hover-underline">Cross-Cohort Gut Microbiome Signatures of Irritable Bowel Syndrome Presentation and Treatment</a> </h4> <p class="text-ellipsis-2">Junhui Li, Tarini Shankar Ghosh, Elke Arendt, Fergus Shanahan, Paul W. O'Toole</p> <div class="d-flex mb-3"> <div class="flex-shrink-0 d-none d-sm-block"> <img src="https://peeref-open.s3.amazonaws.com/storage/images/covers/9943.jpg" alt="" class="border mr-3" width="100"> </div> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> This meta-analysis identified consistent gut microbiome signatures associated with IBS and cataloged microbiota-targeted diet patterns. It also found that rifaximin treatment reduces the abundance of facultatively anaerobic pathobionts. These results provide information for the development of microbiome-modulating therapies in IBS and may enable nutritional intervention trials and dietary management. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">ADVANCED SCIENCE</span> (2024) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/83634095/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Multidisciplinary Sciences </span> </div> <h4> <a href="https://www.peeref.com/works/28925850" class="text-dark hover-underline">Protein supplementation changes gut microbial diversity and derived metabolites in subjects with type 2 diabetes</a> </h4> <p class="text-ellipsis-2">Ilias Attaye, Pierre Bel Lassen, Solia Adriouch, Emilie Steinbach, Rafael Patino-Navarrete, Mark Davids, Rohia Alili, Flavien Jacques, Sara Benzeguir, Eugeni Belda, Ina Nemet, James T. Anderson, Laure Alexandre-Heymann, Arno Greyling, Etienne Larger, Stanley L. Hazen, Sophie L. van Oppenraaij, Valentina Tremaroli, Katharina Beck, Per-Olof Bergh, Fredrik Bakhed, Suzan P. M. ten Brincke, Hilde Herrema, Albert K. Groen, Sara-Joan Pinto-Sietsma, Karine Clement, Max Nieuwdorp</p> <div class="d-flex mb-3"> <div class="flex-shrink-0 d-none d-sm-block"> <img src="https://peeref-open.s3.amazonaws.com/storage/images/covers/10919.jpg" alt="" class="border mr-3" width="100"> </div> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> High-protein diets do not significantly affect glycemic control or weight in individuals with type 2 diabetes. However, it may have negative effects on kidney function and the production of gut-derived metabolites. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">ISCIENCE</span> (2023) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/28925850/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Biotechnology & Applied Microbiology </span> </div> <h4> <a href="https://www.peeref.com/works/82923817" class="text-dark hover-underline">A cross-sectional comparison of gut metagenomes between dairy workers and community controls</a> </h4> <p class="text-ellipsis-2">Pauline Trinh, Sarah Teichman, Marilyn C. Roberts, Peter M. Rabinowitz, Amy D. Willis</p> <div class="d-flex mb-3"> <div class="flex-shrink-0 d-none d-sm-block"> <img src="https://peeref-open.s3.amazonaws.com/storage/images/covers/1255.jpg" alt="" class="border mr-3" width="100"> </div> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> This study utilized shotgun metagenomics to investigate the microbiomes and resistomes of dairy workers in the United States. Although no significant differences were found in taxonomy, diversity, and gene presence between the two groups, patterns in antibiotic resistance gene abundance and prevalence were observed, which were consistent with previous studies of livestock workers in China and Europe. These results provide a foundation for future research involving larger cohorts of dairy and non-dairy workers to better understand the impact of occupational exposure to livestock farming on the microbiomes and resistomes of workers. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">BMC GENOMICS</span> (2024) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/82923817/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Gastroenterology & Hepatology </span> </div> <h4> <a href="https://www.peeref.com/works/27828513" class="text-dark hover-underline">Assembly of novel microbial genomes from gut metagenomes of rhesus macaque (Macaca mulatta)</a> </h4> <p class="text-ellipsis-2">Shengzhi Yang, Zhenxin Fan, Jiawei Li, Xinqi Wang, Yue Lan, Bisong Yue, Miao He, Anyun Zhang, Jing Li</p> <div class="d-flex mb-3"> <div class="flex-shrink-0 d-none d-sm-block"> <img src="https://peeref-open.s3.amazonaws.com/storage/images/covers/10591.jpg" alt="" class="border mr-3" width="100"> </div> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> In this study, metagenome-assembled genomes (MAGs) were reconstructed from fecal samples of chronic diarrheal Rhesus macaques (RM) and asymptomatic individuals. Significant differences in microbial composition were observed between RM and human guts, and certain bacterial groups were found to be significantly reduced in chronic diarrhea RMs. These findings contribute to a better understanding of the diversity and function of RM gut microbiome. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">GUT MICROBES</span> (2023) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/27828513/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 "> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Multidisciplinary Sciences </span> </div> <h4> <a href="https://www.peeref.com/works/25466924" class="text-dark hover-underline">A gut microbial peptide and molecular mimicry in the pathogenesis of type 1 diabetes</a> </h4> <p class="text-ellipsis-2">Khyati Girdhar, Qian Huang, I. -Ting Chow, Tommi Vatanen, Claudia Brady, Amol Raisingani, Patrick Autissier, Mark A. Atkinson, William W. Kwok, C. Ronald Kahn, Emrah Altindis</p> <div class="d-flex mb-3"> <div class="flex-shrink-0 d-none d-sm-block"> <img src="https://peeref-open.s3.amazonaws.com/storage/images/covers/6895.jpg" alt="" class="border mr-3" width="100"> </div> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> This article investigates the potential role of Parabacteroides distasonis in the pathogenesis of type 1 diabetes (T1D). The study found that a peptide sequence from P. distasonis can activate T cells from T1D patients and nonobese diabetic mice. Colonization of the mouse colon with P. distasonis accelerates the development of T1D and elicits an immune response. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA</span> (2022) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/25466924/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> </div> <div id="articles_from_authors" class="tab-pane "> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Biochemistry & Molecular Biology </span> </div> <h4> <a href="https://www.peeref.com/works/84852687" class="text-dark hover-underline">A Small-Molecule Inhibitor of Gut Bacterial Urease Protects the Host from Liver Injury</a> </h4> <p class="text-ellipsis-2">Khyle C. Richards-Corke, Yindi Jiang, Vladimir Yeliseyev, Yancong Zhang, Eric A. Franzosa, Zhipeng A. Wang, Maheeshi Yapa Abeywardana, Phillip A. Cole, Curtis Huttenhower, Lynn Bry, Emily P. Balskus</p> <div class="d-flex mb-3"> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> Hyperammonemia can cause diseases such as hepatic encephalopathy, and gut bacterial urease is a major factor contributing to elevated systemic ammonia levels. Benurestat can inhibit urease activity in gut bacteria, reduce ammonia levels in the gut and serum, and has potential therapeutic effects on hyperammonemia. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">ACS CHEMICAL BIOLOGY</span> (2025) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/84852687/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Clinical Neurology </span> </div> <h4> <a href="https://www.peeref.com/works/84830635" class="text-dark hover-underline">Long-Term Intake of Red Meat in Relation to Dementia Risk and Cognitive Function in US Adults</a> </h4> <p class="text-ellipsis-2">Yuhan Li, Yanping Li, Xiao Gu, Yuxi Liu, Danyue Dong, Jae Hee Kang, Molin Wang, Heather Eliassen, Walter C. Willett, Meir J. Stampfer, Dong Wang</p> <div class="d-flex mb-3"> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> This is a study on the relationship between red meat intake and cognitive health. The study found that higher intake of red meat, especially processed red meat, was associated with an increased risk of dementia and worse cognitive function. Reducing red meat consumption and increasing the intake of nuts and legumes may help promote cognitive health. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">NEUROLOGY</span> (2025) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/84830635/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Endocrinology & Metabolism </span> </div> <h4> <a href="https://www.peeref.com/works/83289463" class="text-dark hover-underline">Integration of epidemiological and blood biomarker analysis links haem iron intake to increased type 2 diabetes risk</a> </h4> <p class="text-ellipsis-2">Fenglei Wang, Andrea J. Glenn, Anne-Julie Tessier, Zhendong Mei, Danielle E. Haslam, Marta Guasch-Ferre, Deirdre K. Tobias, A. Heather Eliassen, JoAnn E. Manson, Clary Clish, Kyu Ha Lee, Eric B. Rimm, Dong D. Wang, Qi Sun, Liming Liang, Walter C. Willett, Frank B. Hu</p> <div class="d-flex mb-3"> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> This study analyzed data from more than 200,000 participants in three large US cohorts and found that dietary haem iron intake is associated with an increased risk of type 2 diabetes, and haem iron accounts for a significant proportion of the T2D risk associated with unprocessed red meat and specific dietary patterns. In addition, the study identified metabolites, including L-valine and uric acid, that may mediate the relationship between haem iron and T2D, highlighting their crucial role in the pathogenesis of T2D. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">NATURE METABOLISM</span> (2024) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/83289463/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Gastroenterology & Hepatology </span> </div> <h4> <a href="https://www.peeref.com/works/84224415" class="text-dark hover-underline">Gut microbial metabolism of bile acids modifies the effect of Mediterranean diet interventions on cardiometabolic risk in a randomized controlled trial</a> </h4> <p class="text-ellipsis-2">Peipei Gao, Ehud Rinott, Danyue Dong, Zhendong Mei, Fenglei Wang, Yuxi Liu, Omer Kamer, Anat Yaskolka Meir, Kieran M. Tuohy, Matthias Blueher, Michael Stumvoll, Meir J. Stampfer, Iris Shai, Dong D. Wang</p> <div class="d-flex mb-3"> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> This study conducted a multi-omics analysis of 284 participants in the DIRECT-PLUS trial and identified 14 fecal BAs associated with BMI and serum lipid profiles. The study also showed that the gut microbiome is a major modifier of the secondary BA pool in humans, and there are significant differences in the association between fecal BAs and body adiposity and serum lipids in individuals with different abundances of gut microbes carrying BA metabolism enzymes. These findings provide new biomarkers for the prediction of cardiometabolic risk and new mechanistic insights for personalized dietary interventions. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">GUT MICROBES</span> (2024) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/84224415/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Biochemistry & Molecular Biology </span> </div> <h4> <a href="https://www.peeref.com/works/81894129" class="text-dark hover-underline">Integrated annotation prioritizes metabolites with bioactivity in inflammatory bowel disease</a> </h4> <p class="text-ellipsis-2">Amrisha Bhosle, Sena Bae, Yancong Zhang, Eunyoung Chun, Julian Avila-Pacheco, Ludwig Geistlinger, Gleb Pishchany, Jonathan N. Glickman, Monia Michaud, Levi Waldron, Clary B. Clish, Ramnik J. Xavier, Hera Vlamakis, Eric A. Franzosa, Wendy S. Garrett, Curtis Huttenhower</p> <div class="d-flex mb-3"> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> This study identified metabolic features potentially bioactive in IBD by analyzing metabolome data from the Integrative Human Microbiome Project and correlating unannotated features with known metabolites, providing a basis for further investigation. The study also discovered new IBD-related metabolites, such as nicotinamide riboside, and demonstrated its therapeutic effect in a mouse colitis model. The method is generalizable and can be used to improve the characterization of microbial communities and discover therapeutic candidates. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">MOLECULAR SYSTEMS BIOLOGY</span> (2024) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/81894129/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Biochemistry & Molecular Biology </span> </div> <h4> <a href="https://www.peeref.com/works/27543788" class="text-dark hover-underline">Gut microbial metabolism of 5-ASA diminishes its clinical efficacy in inflammatory bowel disease</a> </h4> <p class="text-ellipsis-2">Raaj S. Mehta, Jared R. Mayers, Yancong Zhang, Amrisha Bhosle, Nathaniel R. Glasser, Long H. Nguyen, Wenjie Ma, Sena Bae, Tobyn Branck, Kijun Song, Luke Sebastian, Julian Avila Pacheco, Hyuk-Soo Seo, Clary Clish, Sirano Dhe-Paganon, Ashwin N. Ananthakrishnan, Eric A. Franzosa, Emily P. Balskus, Andrew T. Chan, Curtis Huttenhower</p> <div class="d-flex mb-3"> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> A multi-omics workflow was used to identify the microbial pathways responsible for the degradation of the drug 5-ASA in patients with inflammatory bowel disease. The study found 12 previously uncharacterized microbial acetyltransferases associated with 5-ASA inactivation. In addition, three microbial thiolases and one acyl-CoA N-acyltransferase were found to be epidemiologically associated with an increased risk of treatment failure among 5-ASA users. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">NATURE MEDICINE</span> (2023) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/27543788/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Medicine, General & Internal </span> </div> <h4> <a href="https://www.peeref.com/works/23342936" class="text-dark hover-underline">Gut microbiome alterations and gut barrier dysfunction are associated with host immune homeostasis in COVID-19 patients</a> </h4> <p class="text-ellipsis-2">Zhonghan Sun, Zhi-Gang Song, Chenglin Liu, Shishang Tan, Shuchun Lin, Jiajun Zhu, Fa-Hui Dai, Jian Gao, Jia-Lei She, Zhendong Mei, Tao Lou, Jiao-Jiao Zheng, Yi Liu, Jiang He, Yuanting Zheng, Chen Ding, Feng Qian, Yan Zheng, Yan-Mei Chen</p> <div class="d-flex mb-3"> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> The study found that COVID-19 patients had altered gut microbial composition, with a decrease in commensal species and an increase in opportunistic pathogenic species. Microbiota features associated with severe illness were linked to the host's immune response. Moreover, COVID-19 patients exhibited dysfunction of the gut barrier. These findings suggest that dysbiosis of the gut microbiome and gut barrier dysfunction may play a role in the pathophysiology of COVID-19. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">BMC MEDICINE</span> (2022) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/23342936/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Meeting Abstract </span> <span class="d-inline-block badge badge-cyan"> Gastroenterology & Hepatology </span> </div> <h4> <a href="https://www.peeref.com/works/34842271" class="text-dark hover-underline">GUT MICROBIAL METABOLISM OF 5-ASA DIMINISHES ITS CLINICAL EFFICACY IN IBD</a> </h4> <p class="text-ellipsis-2">Raaj S. Mehta, Jared Mayers, Nathaniel Glasser, Yancong Zhang, Amrisha Bhosle, Long H. Nguyen, Wenjie Ma, Sena Bae, Tobyn Branck, Ashwin Ananthakrishnan, Eric A. Franzosa, Emily Balskus, Andrew Chan, Curtis Huttenhower</p> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">GASTROENTEROLOGY</span> (2022) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/34842271/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Biochemistry & Molecular Biology </span> </div> <h4> <a href="https://www.peeref.com/works/23625177" class="text-dark hover-underline">The gut microbiome and microbial metabolites in acute myocardial infarction</a> </h4> <p class="text-ellipsis-2">Chenglin Liu, Zhonghan Sun, Shalaimaiti Shali, Zhendong Mei, Shufu Chang, Hanjun Mo, Lili Xu, Yanni Pu, Huihui Guan, Guo-Chong Chen, Qibin Qi, Zhexue Quan, Ji Qi, Kang Yao, Yuxiang Dai, Yan Zheng, Junbo Ge</p> <div class="d-flex mb-3"> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> This study investigates the role of gut microbiome and microbial metabolites in acute myocardial infarction (AMI). The results demonstrate significant microbial alterations in AMI patients compared to controls, with certain species positively or inversely associated with AMI status and severity. Furthermore, a gut microbial score at disease onset is associated with the risk of major adverse cardiovascular events in AMI patients. The study also reveals differences in fecal short-chain fatty acids and circulating choline pathway metabolites between AMI patients and controls. The findings suggest an association between microbial composition and functional potentials with AMI. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">JOURNAL OF GENETICS AND GENOMICS</span> (2022) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/23625177/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Plant Sciences </span> </div> <h4> <a href="https://www.peeref.com/works/34865731" class="text-dark hover-underline">Root-secreted bitter triterpene modulates the rhizosphere microbiota to improve plant fitness</a> </h4> <p class="text-ellipsis-2">Yang Zhong, Weibing Xun, Xiaohan Wang, Shouwei Tian, Yancong Zhang, Dawei Li, Yuan Zhou, Yuxuan Qin, Bo Zhang, Guangwei Zhao, Xu Cheng, Yaoguang Liu, Huiming Chen, Legong Li, Anne Osbourn, William J. Lucas, Sanwen Huang, Yongshuo Ma, Yi Shang</p> <div class="d-flex mb-3"> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> Root exudates play a key role in modulating the soil microbiota and enhancing disease resistance. Plant specialized metabolites affect the rhizosphere microbiome through transportation mechanisms, thereby influencing crop fitness. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">NATURE PLANTS</span> (2022) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/34865731/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Biochemistry & Molecular Biology </span> </div> <h4> <a href="https://www.peeref.com/works/23363226" class="text-dark hover-underline">Strain-level fitness in the gut microbiome is an emergent property of glycans and a single metabolite</a> </h4> <p class="text-ellipsis-2">Sun-Yang Park, Chitong Rao, Katharine Z. Coyte, Gavin A. Kuziel, Yancong Zhang, Wentao Huang, Eric A. Franzosa, Jing-Ke Weng, Curtis Huttenhower, Seth Rakoff-Nahoum</p> <div class="d-flex mb-3"> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> This study reveals that the fitness of Bacteroidales in the human gut is determined by a combination of glycans and the metabolite butyrate, and different sugars can activate specific inhibitory functions of butyrate. The fitness effects of butyrate within Bacteroides are mediated by species-level variation in enzyme activity and nucleotide polymorphisms. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">CELL</span> (2022) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/23363226/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 "> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Multidisciplinary Sciences </span> </div> <h4> <a href="https://www.peeref.com/works/24779729" class="text-dark hover-underline">Discovery of bioactive microbial gene products in inflammatory bowel disease</a> </h4> <p class="text-ellipsis-2">Yancong Zhang, Amrisha Bhosle, Sena Bae, Lauren J. McIver, Gleb Pishchany, Emma K. Accorsi, Kelsey N. Thompson, Cesar Arze, Ya Wang, Ayshwarya Subramanian, Sean M. Kearney, April Pawluk, Damian R. Plichta, Ali Rahnavard, Afrah Shafquat, Ramnik J. Xavier, Hera Vlamakis, Wendy S. Garrett, Andy Krueger, Curtis Huttenhower, Eric A. Franzosa</p> <div class="d-flex mb-3"> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> This article investigates the role of microbial communities and their associated bioactive compounds in inflammatory bowel diseases (IBD). It systematically identifies potentially bioactive protein families involved in gut inflammation during IBD and validates their bioactivity using a combination of metagenomics, metatranscriptomics, and metaproteomics. The results provide candidate microbial proteins that interact with the host immune system in IBD, expanding our understanding of potentially bioactive gene products in chronic diseases. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">NATURE</span> (2022) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/24779729/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> </div> <div id="articles_from_journal" class="tab-pane "> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Biochemistry & Molecular Biology </span> </div> <h4> <a href="https://www.peeref.com/works/84530059" class="text-dark hover-underline">Toripalimab plus nab-paclitaxel in metastatic or recurrent triple-negative breast cancer: a randomized phase 3 trial</a> </h4> <p class="text-ellipsis-2">Zefei Jiang, Quchang Ouyang, Tao Sun, Qingyuan Zhang, Yuee Teng, Jiuwei Cui, Haibo Wang, Yongmei Yin, Xiaojia Wang, Xin Zhou, Yongsheng Wang, Gang Sun, Jingfen Wang, Lili Zhang, Jin Yang, Jun Qian, Min Yan, Xinlan Liu, Tienan Yi, Ying Cheng, Man Li, Aimin Zang, Shusen Wang, Chuan Wang, Xinhong Wu, Jing Cheng, Hui Li, Ying Lin, Cuizhi Geng, Kangsheng Gu, Chunwei Xie, Huihua Xiong, Xiaohong Wu, Junlan Yang, Qingshan Li, Yiding Chen, Fanfan Li, Anqin Zhang, Yongqiang Zhang, Yudong Wu, Jianyun Nie, Qiang Liu, Kun Wang, Xueli Mo, Lilin Chen, Yueyin Pan, Peifen Fu, Helong Zhang, Danmei Pang, Yuan Sheng, Yunwei Han, Hongxia Wang, Shundong Cang, Xianming Luo, Wenbo Yu, Rong Deng, Chaoqiang Yang, Patricia Keegan</p> <div class="d-flex mb-3"> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> This study evaluated the efficacy and safety of toripalimab combined with nab-paclitaxel versus placebo combined with nab-paclitaxel in women with metastatic or recurrent TNBC. The results showed that in the PD-L1 positive population, both PFS and overall survival in the experimental group were significantly improved, and the safety was acceptable. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">NATURE MEDICINE</span> (2024) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/84530059/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Biochemistry & Molecular Biology </span> </div> <h4> <a href="https://www.peeref.com/works/84529132" class="text-dark hover-underline">Insights for precision oncology from the integration of genomic and clinical data of 13,880 tumors from the 100,000 Genomes Cancer Programme</a> </h4> <p class="text-ellipsis-2">Alona Sosinsky, John Ambrose, William Cross, Clare Turnbull, Shirley Henderson, Louise Jones, Angela Hamblin, Prabhu Arumugam, Georgia Chan, Daniel Chubb, Boris Noyvert, Jonathan Mitchell, Susan Walker, Katy Bowman, Dorota Pasko, Marianna Buongermino Pereira, Nadezda Volkova, Antonio Rueda-Martin, Daniel Perez-Gil, Javier Lopez, John Pullinger, Afshan Siddiq, Tala Zainy, Tasnim Choudhury, Olena Yavorska, Tom Fowler, David Bentley, Clare Kingsley, Sandra Hing, Zandra Deans, Augusto Rendon, Sue Hill, Mark Caulfield, Nirupa Murugaesu</p> <div class="d-flex mb-3"> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> This study evaluated the opportunities for precision cancer care within the UK NHS by analyzing WGS data from 13,880 solid tumors. The results showed that the incidence of somatic mutations varied across cancer types, and homologous recombination deficiency was associated with pathogenic germline variants. The study also found that linking genomic and clinical data for survival analysis can identify cancer genes that affect prognosis and help to understand the impact of cancer genomics on patient outcomes. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">NATURE MEDICINE</span> (2024) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/84529132/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Biochemistry & Molecular Biology </span> </div> <h4> <a href="https://www.peeref.com/works/83554075" class="text-dark hover-underline">Data-driven risk stratification and precision management of pulmonary nodules detected on chest computed tomography</a> </h4> <p class="text-ellipsis-2">Chengdi Wang, Jun Shao, Yichu He, Jiaojiao Wu, Xingting Liu, Liuqing Yang, Ying Wei, Xiang Sean Zhou, Yiqiang Zhan, Feng Shi, Dinggang Shen, Weimin Li</p> <div class="d-flex mb-3"> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> This study proposes a triage-driven Chinese Lung Nodules Reporting and Data System (C-Lung-RADS) that utilizes medical checkup cohort data to precisely evaluate the malignancy risk of pulmonary nodules. The system operates in a stepwise fashion, integrating imaging information, demographic characteristics, and follow-up data to identify suspicious malignant nodules and refine the risk scale. The system demonstrates excellent performance in the internal testing dataset and shows higher sensitivity in an independent cohort. Based on precise risk stratification and tailored management, this system has the potential to enhance the efficiency of lung cancer diagnosis. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">NATURE MEDICINE</span> (2024) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/83554075/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Biochemistry & Molecular Biology </span> </div> <h4> <a href="https://www.peeref.com/works/84529730" class="text-dark hover-underline">Health effects associated with exposure to secondhand smoke: a Burden of Proof study</a> </h4> <p class="text-ellipsis-2">Luisa S. Flor, Jason A. Anderson, Noah Ahmad, Aleksandr Aravkin, Sinclair Carr, Xiaochen Dai, Gabriela F. Gil, Simon Hay, Matthew J. Malloy, Susan A. McLaughlin, Erin C. Mullany, Christopher J. L. Murray, Erin M. O'Connell, Chukwuma Okereke, Reed J. D. Sorensen, Joanna Whisnant, Peng Zheng, Emmanuela Gakidou</p> <div class="d-flex mb-3"> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> This study comprehensively reviewed the literature on the adverse effects of secondhand smoke exposure on nine health outcomes. It found that secondhand smoke is associated with various health problems, including ischemic heart disease, stroke, type 2 diabetes, lung cancer, otitis media, asthma, lower respiratory infections, breast cancer, and chronic obstructive pulmonary disease. Although the evidence is weak, the results emphasize the harmful effects of secondhand smoke on health and the need to strengthen efforts to reduce smoking. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">NATURE MEDICINE</span> (2024) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/84529730/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Biochemistry & Molecular Biology </span> </div> <h4> <a href="https://www.peeref.com/works/82940322" class="text-dark hover-underline">Integrated image-based deep learning and language models for primary diabetes care</a> </h4> <p class="text-ellipsis-2">Jiajia Li, Zhouyu Guan, Jing Wang, Carol Y. Cheung, Yingfeng Zheng, Lee-Ling Lim, Cynthia Ciwei Lim, Paisan Ruamviboonsuk, Rajiv Raman, Leonor Corsino, Justin B. Echouffo-Tcheugui, Andrea O. Y. Luk, Li Jia Chen, Xiaodong Sun, Haslina Hamzah, Qiang Wu, Xiangning Wang, Ruhan Liu, Ya Xing Wang, Tingli Chen, Xiao Zhang, Xiaolong Yang, Jun Yin, Jing Wan, Wei Du, Ten Cheer Quek, Jocelyn Hui Lin Goh, Dawei Yang, Xiaoyan Hu, Truong X. Nguyen, Simon K. H. Szeto, Peranut Chotcomwongse, Rachid Malek, Nargiza Normatova, Nilufar Ibragimova, Ramyaa Srinivasan, Pingting Zhong, Wenyong Huang, Chenxin Deng, Lei Ruan, Cuntai Zhang, Chenxi Zhang, Yan Zhou, Chan Wu, Rongping Dai, Sky Wei Chee Koh, Adina Abdullah, Nicholas Ken Yoong Hee, Hong Chang Tan, Zhong Hong Liew, Carolyn Shan-Yeu Tien, Shih Ling Kao, Amanda Yuan Ling Lim, Shao Feng Mok, Lina Sun, Jing Gu, Liang Wu, Tingyao Li, Di Cheng, Zheyuan Wang, Yiming Qin, Ling Dai, Ziyao Meng, Jia Shu, Yuwei Lu, Nan Jiang, Tingting Hu, Shan Huang, Gengyou Huang, Shujie Yu, Dan Liu, Weizhi Ma, Minyi Guo, Xinping Guan, Xiaokang Yang, Covadonga Bascaran, Charles R. Cleland, Yuqian Bao, Elif I. Ekinci, Alicia Jenkins, Juliana C. N. Chan, Yong Mong Bee, Sobha Sivaprasad, Jonathan E. Shaw, Rafael Simo, Pearse A. Keane, Ching-Yu Cheng, Gavin Siew Wei Tan, Weiping Jia, Yih-Chung Tham, Huating Li, Bin Sheng, Tien Yin Wong</p> <div class="d-flex mb-3"> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> The study developed an integrated image-language system, DeepDR-LLM, to assist PCPs in diabetes management. The system performed well in identifying referable DR and also improved patients' self-management behaviors and adherence to DR referrals, as well as the quality and empathy level of management recommendations. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">NATURE MEDICINE</span> (2024) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/82940322/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Biochemistry & Molecular Biology </span> </div> <h4> <a href="https://www.peeref.com/works/84767420" class="text-dark hover-underline">The gut-brain axis underlying hepatic encephalopathy in liver cirrhosis</a> </h4> <p class="text-ellipsis-2">Xiaolong He, Mengyao Hu, Yi Xu, Fangbo Xia, Yang Tan, Yuqing Wang, Huiling Xiang, Hao Wu, Tengfei Ji, Qian Xu, Lei Wang, Zhenhe Huang, Meiling Sun, Yu Wan, Peng Cui, Shaocong Liang, Yuan Pan, Siyu Xiao, Yan He, Ruixin Song, Junqing Yan, Xin Quan, Yingge Wei, Changze Hong, Weizuo Liao, Fuli Li, Emad El-Omar, Jinjun Chen, Xiaolong Qi, Jie Gao, Hongwei Zhou</p> <div class="d-flex mb-3"> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> This study reveals the relationship between gut microbiota dysbiosis and hepatic encephalopathy, finding that the phenylalanine decarboxylase gene in Ruminococcus gnavus increases in cirrhotic patients, leading to the accumulation of brain phenylethylamine and subsequent neurological symptoms. The study also shows that targeting PDC or PEA can reverse these symptoms, and fecal microbiota transplantation can replicate the symptoms. In addition, high baseline PEA levels are associated with an increased risk of HE. This study provides a new target for the treatment and prediction of HE. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">NATURE MEDICINE</span> (2025) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/84767420/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Biochemistry & Molecular Biology </span> </div> <h4> <a href="https://www.peeref.com/works/85002753" class="text-dark hover-underline">A generalist medical language model for disease diagnosis assistance</a> </h4> <p class="text-ellipsis-2">Xiaohong Liu, Hao Liu, Guoxing Yang, Zeyu Jiang, Shuguang Cui, Zhaoze Zhang, Huan Wang, Liyuan Tao, Yongchang Sun, Zhu Song, Tianpei Hong, Jin Yang, Tianrun Gao, Jiangjiang Zhang, Xiaohu Li, Jing Zhang, Ye Sang, Zhao Yang, Kanmin Xue, Song Wu, Ping Zhang, Jian Yang, Chunli Song, Guangyu Wang</p> <div class="d-flex mb-3"> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> MedFound is a generalist medical language model with 176 billion parameters, pre-trained on a large-scale medical text and clinical records. It learns physicians' inferential diagnosis through a self-bootstrapping strategy-based chain-of-thought approach and aligns with standard clinical practice. Experiments show that MedFound outperforms other models in various disease scenarios and is feasible in assisting physicians with disease diagnosis. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">NATURE MEDICINE</span> (2025) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/85002753/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Biochemistry & Molecular Biology </span> </div> <h4> <a href="https://www.peeref.com/works/82998523" class="text-dark hover-underline">Outpatient reception via collaboration between nurses and a large language model: a randomized controlled trial</a> </h4> <p class="text-ellipsis-2">Peixing Wan, Zigeng Huang, Wenjun Tang, Yulan Nie, Dajun Pei, Shaofen Deng, Jing Chen, Yizhi Zhou, Hongru Duan, Qingyu Chen, Erping Long</p> <div class="d-flex mb-3"> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> This study presents a method of leveraging large language models to assist communication in medical center reception sites. By creating a site-specific prompt engineering chatbot, the model effectively resolves patient queries and improves patient satisfaction, reduces repeated queries and negative emotions, and enhances response quality in practical applications. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">NATURE MEDICINE</span> (2024) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/82998523/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Biochemistry & Molecular Biology </span> </div> <h4> <a href="https://www.peeref.com/works/83282752" class="text-dark hover-underline">Brain aging patterns in a large and diverse cohort of 49,482 individuals</a> </h4> <p class="text-ellipsis-2">Zhijian Yang, Junhao Wen, Guray Erus, Sindhuja T. Govindarajan, Randa Melhem, Elizabeth Mamourian, Yuhan Cui, Dhivya Srinivasan, Ahmed Abdulkadir, Paraskevi Parmpi, Katharina Wittfeld, Hans J. Grabe, Robin Buelow, Stefan Frenzel, Duygu Tosun, Murat Bilgel, Yang An, Dahyun Yi, Daniel S. Marcus, Pamela Lamontagne, Tammie L. S. Benzinger, Susan R. Heckbert, Thomas R. Austin, Shari R. Waldstein, Michele K. Evans, Alan B. Zonderman, Lenore J. Launer, Aristeidis Sotiras, Mark A. Espeland, Colin L. Masters, Paul Maruff, Jurgen Fripp, Arthur W. Toga, Sid O'Bryant, Mallar M. Chakravarty, Sylvia Villeneuve, Sterling C. Johnson, John C. Morris, Marilyn S. Albert, Kristine Yaffe, Henry Voelzke, Luigi Ferrucci, R. Nick Bryan, Russell T. Shinohara, Yong Fan, Mohamad Habes, Paris Alexandros Lalousis, Nikolaos Koutsouleris, David A. Wolk, Susan M. Resnick, Haochang Shou, Ilya M. Nasrallah, Christos Davatzikos</p> <div class="d-flex mb-3"> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> A generative model identifies five dominant patterns of brain atrophy in a cohort of 49,482 individuals from 11 studies, with specific associations with biomedical, lifestyle, and genetic factors. These findings provide insights into the mechanisms of brain aging and offer new avenues for the diagnosis and treatment of diseases. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">NATURE MEDICINE</span> (2024) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/83282752/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Biochemistry & Molecular Biology </span> </div> <h4> <a href="https://www.peeref.com/works/83265032" class="text-dark hover-underline">Personalized brain circuit scores identify clinically distinct biotypes in depression and anxiety</a> </h4> <p class="text-ellipsis-2">Leonardo Tozzi, Xue Zhang, Adam Pines, Alisa M. Olmsted, Emily S. Zhai, Esther T. Anene, Megan Chesnut, Bailey Holt-Gosselin, Sarah Chang, Patrick C. Stetz, Carolina A. Ramirez, Laura M. Hack, Mayuresh S. Korgaonkar, Max Wintermark, Ian H. Gotlib, Jun Ma, Leanne M. Williams</p> <div class="d-flex mb-3"> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> This study used data from a standardized functional magnetic resonance imaging protocol to derive brain circuit dysfunction scores based on theoretical taxonomy and subdivided patients into six biotypes. These biotypes were distinguished by symptoms, behavioral performance, and response to treatment. The study provides a new quantitative method for parsing the biological heterogeneity of depression and anxiety and advancing precision clinical care. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">NATURE MEDICINE</span> (2024) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/83265032/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Biochemistry & Molecular Biology </span> </div> <h4> <a href="https://www.peeref.com/works/83124768" class="text-dark hover-underline">Revised criteria for the diagnosis and staging of Alzheimer's disease</a> </h4> <p class="text-ellipsis-2">Clifford R. Jack Jr, Scott J. Andrews, Thomas G. Beach, Teresa Buracchio, Billy Dunn, Ana Graf, Oskar Hansson, Carole Ho, William Jagust, Eric McDade, Jose Luis Molinuevo, Ozioma C. Okonkwo, Luca Pani, Michael S. Rafii, Philip Scheltens, Eric Siemers, Heather M. Snyder, Reisa Sperling, Charlotte E. Teunissen, Maria C. Carrillo</p> <div class="d-flex mb-3"> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> Alzheimer's disease can be treated and diagnosed, with treatment targeting amyloid-beta plaques and diagnosis relying on biomarkers, which prompts the revision of criteria for its diagnosis and staging. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">NATURE MEDICINE</span> (2024) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/83124768/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Biochemistry & Molecular Biology </span> </div> <h4> <a href="https://www.peeref.com/works/84528274" class="text-dark hover-underline">Soft robotic apparel to avert freezing of gait in Parkinson's disease</a> </h4> <p class="text-ellipsis-2">Jinsoo Kim, Franchino Porciuncula, Hee Doo Yang, Nicholas Wendel, Teresa Baker, Andrew Chin, Terry D. Ellis, Conor J. Walsh</p> <div class="d-flex mb-3"> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> This study demonstrated the concept of using soft robotic apparel to avoid freezing of gait in Parkinson's disease. In an n-of-1 trial with a 73-year-old male patient, the robotic apparel eliminated FoG during indoor walking, increased walking distance, speed, and improved gait quality, with repeatable effects. This provides impetus for technological advancements. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">NATURE MEDICINE</span> (2024) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/84528274/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Biochemistry & Molecular Biology </span> </div> <h4> <a href="https://www.peeref.com/works/83071529" class="text-dark hover-underline">Evaluation and mitigation of the limitations of large language models in clinical decision-making</a> </h4> <p class="text-ellipsis-2">Paul Hager, Friederike Jungmann, Robbie Holland, Kunal Bhagat, Inga Hubrecht, Manuel Knauer, Jakob Vielhauer, Marcus Makowski, Rickmer Braren, Georgios Kaissis, Daniel Rueckert</p> <div class="d-flex mb-3"> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> This study shows that although large language models perform well in medical licensing exams, they have many problems in the real clinical decision-making environment, such as inaccurate diagnosis of all diseases, non-compliance with guidelines, and inability to interpret laboratory results. Therefore, they are not currently suitable for autonomous clinical decision-making. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">NATURE MEDICINE</span> (2024) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/83071529/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Biochemistry & Molecular Biology </span> </div> <h4> <a href="https://www.peeref.com/works/84527960" class="text-dark hover-underline">Association of semaglutide with risk of suicidal ideation in a real-world cohort</a> </h4> <p class="text-ellipsis-2">William Wang, Nora D. Volkow, Nathan A. Berger, Pamela B. Davis, David C. Kaelber, Rong Xu</p> <div class="d-flex mb-3"> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> This study aimed to assess the associations of semaglutide with suicidal ideation compared to non-GLP1R agonist anti-obesity or anti-diabetes medications. The results showed that in patients with overweight or obesity and T2DM, semaglutide was associated with a lower risk of incident and recurrent suicidal ideation, and the associations were consistent across sex, age, and ethnicity stratification. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">NATURE MEDICINE</span> (2024) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/84527960/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 "> <div> <span class="d-inline-block badge badge-blue"> Review </span> <span class="d-inline-block badge badge-cyan"> Biochemistry & Molecular Biology </span> </div> <h4> <a href="https://www.peeref.com/works/83928426" class="text-dark hover-underline">Advancing global antibiotic research, development and access</a> </h4> <p class="text-ellipsis-2">Laura J. V. Piddock, Yewande Alimi, James Anderson, Damiano de Felice, Catrin E. Moore, John-Arne Rottingen, Henry Skinner, Peter Beyer</p> <div class="d-flex mb-3"> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> Antibiotic R&D is in trouble, with economic challenges reducing private investment and many countries facing a crisis of antibiotic shortages and unequal access. Public and philanthropic funds support antibiotic R&D through partnerships, and the world's leaders need to increase their support to build a sustainable R&D ecosystem and strategies to address antimicrobial resistance. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">NATURE MEDICINE</span> (2024) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/83928426/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> </div> </div> </div> </div> </div> </div> <div class="modal fade" id="export-citation" tabindex="-1"> <div class="modal-dialog"> <div class="modal-content"> <div class="modal-header"> <button type="button" class="close" data-dismiss="modal"><span>×</span></button> <h4 class="modal-title">Export Citation <b class="text-primary"></b></h4> </div> <div class="modal-body"> <div class="my-3 px-4 f16"> <form 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