{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,22]],"date-time":"2026-10-22T16:53:44Z","timestamp":1792688024931,"version":"4.5.0"},"reference-count":57,"publisher":"Public Library of Science (PLoS)","issue":"11","license":[{"start":{"date-parts":[[2022,11,29]],"date-time":"2022-11-29T00:00:00Z","timestamp":1669680000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Ministry of Science and ICT","award":["NRF-2014M3C7A1046042"],"award-info":[{"award-number":["NRF-2014M3C7A1046042"]}]},{"DOI":"10.13039\/100008903","name":"Ministry of Health and Welfare","doi-asserted-by":"publisher","award":["HI18C0630"],"award-info":[{"award-number":["HI18C0630"]}],"id":[{"id":"10.13039\/100008903","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003625","name":"Ministry of Health and Welfare","doi-asserted-by":"publisher","award":["HI19C0149"],"award-info":[{"award-number":["HI19C0149"]}],"id":[{"id":"10.13039\/501100003625","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004332","name":"Seoul National University Hospital","doi-asserted-by":"publisher","award":["3020200030"],"award-info":[{"award-number":["3020200030"]}],"id":[{"id":"10.13039\/501100004332","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000049","name":"National Institute on Aging","doi-asserted-by":"publisher","award":["U01AG072177"],"award-info":[{"award-number":["U01AG072177"]}],"id":[{"id":"10.13039\/100000049","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["www.plosone.org"],"crossmark-restriction":false},"short-container-title":["PLoS ONE"],"abstract":"<jats:sec id=\"sec001\">\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Although some human studies have reported gut microbiome changes in individuals with Alzheimer\u2019s disease (AD) dementia or mild cognitive impairment (MCI), gut microbiome alterations in preclinical AD, i.e., cerebral amyloidosis without cognitive impairment, is largely unknown.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"sec002\">\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>We aimed to identify gut microbial alterations associated with preclinical AD by comparing cognitively normal (CN) older adults with cerebral A\u03b2 deposition (A\u03b2+ CN) and those without cerebral A\u03b2 deposition (A\u03b2\u2212 CN).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"sec003\">\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Seventy-eight CN older participants (18 A\u03b2+ CN and 60 A\u03b2\u2212 CN) were included, and all participants underwent clinical assessment and Pittsburg compound B\u2013positron emission tomography. The V3\u2013V4 region of the 16S rRNA gene of genomic DNA extracted from feces was amplified and sequenced to establish the microbial community.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"sec004\">\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Generalized linear model analysis revealed that the genera\n                      <jats:italic>Megamonas<\/jats:italic>\n                      (B = 3.399, q&lt;0.001),\n                      <jats:italic>Serratia<\/jats:italic>\n                      (B = 3.044, q = 0.005),\n                      <jats:italic>Leptotrichia<\/jats:italic>\n                      (B = 5.862, q = 0.024) and\n                      <jats:italic>Clostridium<\/jats:italic>\n                      (family\n                      <jats:italic>Clostridiaceae<\/jats:italic>\n                      ) (B = 0.788, q = 0.034) were more abundant in the A\u03b2+ CN group than the A\u03b2\u2212 CN group. In contrast, genera\n                      <jats:italic>CF231<\/jats:italic>\n                      (B = \u22123.237, q&lt; 0.001),\n                      <jats:italic>Victivallis<\/jats:italic>\n                      (B = \u22123.447, q = 0.004)\n                      <jats:italic>Enterococcus<\/jats:italic>\n                      (B = \u22122.044, q = 0.042),\n                      <jats:italic>Mitsuokella<\/jats:italic>\n                      (B = \u22122.119, q = 0.042) and\n                      <jats:italic>Clostridium<\/jats:italic>\n                      (family\n                      <jats:italic>Erysipelotrichaceae<\/jats:italic>\n                      ) (B = \u22122.222, q = 0.043) were decreased in A\u03b2+ CN compared to A\u03b2\u2212 CN. Notably, the classification model including the differently abundant genera could effectively distinguish A\u03b2+ CN from A\u03b2\u2212 CN (AUC = 0.823).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"sec005\">\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Our findings suggest that specific alterations of gut bacterial taxa are related to preclinical AD, which means these changes may precede cognitive decline. Therefore, examining changes in the microbiome may be helpful in preclinical AD screening.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1371\/journal.pone.0278276","type":"journal-article","created":{"date-parts":[[2022,11,29]],"date-time":"2022-11-29T13:32:27Z","timestamp":1669728747000},"page":"e0278276","update-policy":"https:\/\/doi.org\/10.1371\/journal.pone.corrections_policy","source":"Crossref","is-referenced-by-count":61,"title":["Gut microbiome alterations in preclinical Alzheimer\u2019s disease"],"prefix":"10.1371","volume":"17","author":[{"given":"Joon Hyung","family":"Jung","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9118-3919","authenticated-orcid":true,"given":"Gihyeon","family":"Kim","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Min Soo","family":"Byun","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jun Ho","family":"Lee","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0860-0946","authenticated-orcid":true,"given":"Dahyun","family":"Yi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hansoo","family":"Park","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8976-8320","authenticated-orcid":true,"given":"Dong Young","family":"Lee","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"name":"for the KBASE Research Group","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"340","published-online":{"date-parts":[[2022,11,29]]},"reference":[{"issue":"1","key":"pone.0278276.ref001","doi-asserted-by":"crossref","first-page":"48","DOI":"10.5056\/jnm18087","article-title":"Brain-Gut-Microbiota Axis in Alzheimer\u2019s Disease","volume":"25","author":"K Kowalski","year":"2019","journal-title":"J Neurogastroenterol Motil"},{"issue":"1","key":"pone.0278276.ref002","doi-asserted-by":"crossref","DOI":"10.3390\/microorganisms7010014","article-title":"What is the Healthy Gut Microbiota Composition? A Changing Ecosystem across Age, Environment, Diet, and Diseases","volume":"7","author":"E Rinninella","year":"2019","journal-title":"Microorganisms"},{"key":"pone.0278276.ref003","doi-asserted-by":"crossref","first-page":"j5145","DOI":"10.1136\/bmj.j5145","article-title":"The role of the gut microbiome in systemic inflammatory disease","volume":"360","author":"JC Clemente","year":"2018","journal-title":"BMJ"},{"key":"pone.0278276.ref004","doi-asserted-by":"crossref","first-page":"41802","DOI":"10.1038\/srep41802","article-title":"Reduction of Abeta amyloid pathology in APPPS1 transgenic mice in the absence of gut microbiota","volume":"7","author":"T Harach","year":"2017","journal-title":"Sci Rep"},{"issue":"1","key":"pone.0278276.ref005","doi-asserted-by":"crossref","first-page":"385","DOI":"10.3233\/JAD-160884","article-title":"Alzheimer\u2019s Disease Histological and Behavioral Manifestations in Transgenic Mice Correlate with Specific Gut Microbiome State","volume":"56","author":"L Shen","year":"2017","journal-title":"J Alzheimers Dis"},{"issue":"2","key":"pone.0278276.ref006","doi-asserted-by":"crossref","first-page":"283","DOI":"10.1136\/gutjnl-2018-317431","article-title":"Transfer of a healthy microbiota reduces amyloid and tau pathology in an Alzheimer\u2019s disease animal model","volume":"69","author":"MS Kim","year":"2020","journal-title":"Gut"},{"issue":"3","key":"pone.0278276.ref007","doi-asserted-by":"crossref","DOI":"10.1128\/mBio.00632-19","article-title":"Alzheimer\u2019s Disease Microbiome Is Associated with Dysregulation of the Anti-Inflammatory P-Glycoprotein Pathway","volume":"10","author":"JP Haran","year":"2019","journal-title":"mBio"},{"issue":"10","key":"pone.0278276.ref008","doi-asserted-by":"crossref","first-page":"1357","DOI":"10.1016\/j.jalz.2019.07.002","article-title":"Mild cognitive impairment has similar alterations as Alzheimer\u2019s disease in gut microbiota","volume":"15","author":"B Li","year":"2019","journal-title":"Alzheimers Dement"},{"key":"pone.0278276.ref009","doi-asserted-by":"crossref","first-page":"633","DOI":"10.1016\/j.bbi.2019.05.008","article-title":"Altered microbiomes distinguish Alzheimer\u2019s disease from amnestic mild cognitive impairment and health in a Chinese cohort","volume":"80","author":"P Liu","year":"2019","journal-title":"Brain Behav Immun"},{"issue":"1","key":"pone.0278276.ref010","doi-asserted-by":"crossref","first-page":"13537","DOI":"10.1038\/s41598-017-13601-y","article-title":"Gut microbiome alterations in Alzheimer\u2019s disease","volume":"7","author":"NM Vogt","year":"2017","journal-title":"Sci Rep"},{"issue":"12","key":"pone.0278276.ref011","doi-asserted-by":"crossref","first-page":"1475","DOI":"10.1001\/jama.288.12.1475","article-title":"Prevalence of neuropsychiatric symptoms in dementia and mild cognitive impairment: results from the cardiovascular health study","volume":"288","author":"CG Lyketsos","year":"2002","journal-title":"JAMA"},{"issue":"1","key":"pone.0278276.ref012","doi-asserted-by":"crossref","first-page":"5206","DOI":"10.1038\/s41467-020-18871-1","article-title":"Health and disease markers correlate with gut microbiome composition across thousands of people","volume":"11","author":"O Manor","year":"2020","journal-title":"Nature Communications"},{"issue":"3","key":"pone.0278276.ref013","doi-asserted-by":"crossref","first-page":"292","DOI":"10.1016\/j.jalz.2016.02.002","article-title":"Preclinical Alzheimer\u2019s disease: Definition, natural history, and diagnostic criteria","volume":"12","author":"B Dubois","year":"2016","journal-title":"Alzheimers Dement"},{"issue":"1","key":"pone.0278276.ref014","doi-asserted-by":"crossref","first-page":"119","DOI":"10.1016\/S1474-4422(09)70299-6","article-title":"Hypothetical model of dynamic biomarkers of the Alzheimer\u2019s pathological cascade","volume":"9","author":"CR Jack","year":"2010","journal-title":"The Lancet Neurology"},{"issue":"3","key":"pone.0278276.ref015","doi-asserted-by":"crossref","first-page":"280","DOI":"10.1016\/j.jalz.2011.03.003","article-title":"Toward defining the preclinical stages of Alzheimer\u2019s disease: Recommendations from the National Institute on Aging-Alzheimer\u2019s Association workgroups on diagnostic guidelines for Alzheimer\u2019s disease","volume":"7","author":"RA Sperling","year":"2011","journal-title":"Alzheimer\u2019s & Dementia"},{"issue":"1","key":"pone.0278276.ref016","doi-asserted-by":"crossref","first-page":"7","DOI":"10.1186\/s13195-018-0459-7","article-title":"Prevalence and risk of progression of preclinical Alzheimer\u2019s disease stages: a systematic review and meta-analysis","volume":"11","author":"L Parnetti","year":"2019","journal-title":"Alzheimer\u2019s Research & Therapy"},{"issue":"6","key":"pone.0278276.ref017","doi-asserted-by":"crossref","first-page":"851","DOI":"10.4306\/pi.2017.14.6.851","article-title":"Korean Brain Aging Study for the Early Diagnosis and Prediction of Alzheimer\u2019s Disease: Methodology and Baseline Sample Characteristics","volume":"14","author":"MS Byun","year":"2017","journal-title":"Psychiatry Investig"},{"issue":"1","key":"pone.0278276.ref018","doi-asserted-by":"crossref","first-page":"P47","DOI":"10.1093\/geronb\/57.1.P47","article-title":"Development of the Korean version of the Consortium to Establish a Registry for Alzheimer\u2019s Disease Assessment Packet (CERAD-K): clinical and neuropsychological assessment batteries","volume":"57","author":"JH Lee","year":"2002","journal-title":"J Gerontol B Psychol Sci Soc Sci"},{"issue":"3","key":"pone.0278276.ref019","doi-asserted-by":"crossref","first-page":"1786","DOI":"10.1016\/j.neuroimage.2010.10.035","article-title":"Imaging the deep cerebellar nuclei: a probabilistic atlas and normalization procedure","volume":"54","author":"J Diedrichsen","year":"2011","journal-title":"Neuroimage"},{"key":"pone.0278276.ref020","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.neuroimage.2015.07.075","article-title":"Implementation of a new parcellation of the orbitofrontal cortex in the automated anatomical labeling atlas","volume":"122","author":"ET Rolls","year":"2015","journal-title":"Neuroimage"},{"issue":"16","key":"pone.0278276.ref021","doi-asserted-by":"crossref","first-page":"6820","DOI":"10.1073\/pnas.0900345106","article-title":"Fibrillar amyloid-beta burden in cognitively normal people at 3 levels of genetic risk for Alzheimer\u2019s disease","volume":"106","author":"EM Reiman","year":"2009","journal-title":"Proc Natl Acad Sci U S A"},{"issue":"1","key":"pone.0278276.ref022","doi-asserted-by":"crossref","first-page":"e1","DOI":"10.1093\/nar\/gks808","article-title":"Evaluation of general 16S ribosomal RNA gene PCR primers for classical and next-generation sequencing-based diversity studies","volume":"41","author":"A Klindworth","year":"2013","journal-title":"Nucleic Acids Res"},{"issue":"1","key":"pone.0278276.ref023","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1016\/j.ymeth.2013.06.027","article-title":"Kraken: a set of tools for quality control and analysis of high-throughput sequence data","volume":"63","author":"MP Davis","year":"2013","journal-title":"Methods"},{"issue":"1","key":"pone.0278276.ref024","article-title":"Cutadapt removes adapter sequences from high-throughput sequencing reads","volume":"17","author":"M. Martin","year":"2011","journal-title":"EMBnetjournal"},{"issue":"8","key":"pone.0278276.ref025","doi-asserted-by":"crossref","first-page":"852","DOI":"10.1038\/s41587-019-0209-9","article-title":"Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2","volume":"37","author":"E Bolyen","year":"2019","journal-title":"Nat Biotechnol"},{"issue":"7","key":"pone.0278276.ref026","doi-asserted-by":"crossref","first-page":"581","DOI":"10.1038\/nmeth.3869","article-title":"DADA2: High-resolution sample inference from Illumina amplicon data","volume":"13","author":"BJ Callahan","year":"2016","journal-title":"Nat Methods"},{"issue":"7","key":"pone.0278276.ref027","doi-asserted-by":"crossref","first-page":"5069","DOI":"10.1128\/AEM.03006-05","article-title":"Greengenes, a chimera-checked 16S rRNA gene database and workbench compatible with ARB","volume":"72","author":"TZ DeSantis","year":"2006","journal-title":"Appl Environ Microbiol"},{"issue":"1","key":"pone.0278276.ref028","doi-asserted-by":"crossref","first-page":"342","DOI":"10.1038\/s41467-022-28034-z","article-title":"Microbiome differential abundance methods produce different results across 38 datasets","volume":"13","author":"JT Nearing","year":"2022","journal-title":"Nature Communications"},{"issue":"9","key":"pone.0278276.ref029","doi-asserted-by":"crossref","first-page":"814","DOI":"10.1038\/nbt.2676","article-title":"Predictive functional profiling of microbial communities using 16S rRNA marker gene sequences","volume":"31","author":"MG Langille","year":"2013","journal-title":"Nat Biotechnol"},{"issue":"8","key":"pone.0278276.ref030","doi-asserted-by":"crossref","first-page":"e71108","DOI":"10.1371\/journal.pone.0071108","article-title":"Human gut microbiota changes reveal the progression of glucose intolerance","volume":"8","author":"X Zhang","year":"2013","journal-title":"PLoS One"},{"issue":"8","key":"pone.0278276.ref031","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1093\/gigascience\/gix058","article-title":"Connections between the human gut microbiome and gestational diabetes mellitus","volume":"6","author":"YS Kuang","year":"2017","journal-title":"Gigascience"},{"key":"pone.0278276.ref032","doi-asserted-by":"crossref","first-page":"e8317","DOI":"10.7717\/peerj.8317","article-title":"Alteration of the gut microbiota associated with childhood obesity by 16S rRNA gene sequencing","volume":"8","author":"X Chen","year":"2020","journal-title":"PeerJ"},{"issue":"4","key":"pone.0278276.ref033","doi-asserted-by":"crossref","first-page":"229","DOI":"10.7762\/cnr.2018.7.4.229","article-title":"Diabetes and Alzheimer\u2019s Disease: Mechanisms and Nutritional Aspects","volume":"7","author":"HJ Lee","year":"2018","journal-title":"Clin Nutr Res"},{"key":"pone.0278276.ref034","doi-asserted-by":"crossref","first-page":"165","DOI":"10.1016\/j.dadm.2017.05.007","article-title":"Body mass index in midlife and dementia: Systematic review and meta-regression analysis of 589,649 men and women followed in longitudinal studies","volume":"8","author":"E Albanese","year":"2017","journal-title":"Alzheimers Dement (Amst)"},{"issue":"4","key":"pone.0278276.ref035","doi-asserted-by":"crossref","first-page":"755","DOI":"10.1128\/CMR.00017-11","article-title":"Serratia infections: from military experiments to current practice","volume":"24","author":"SD Mahlen","year":"2011","journal-title":"Clin Microbiol Rev"},{"issue":"2","key":"pone.0278276.ref036","doi-asserted-by":"crossref","first-page":"633","DOI":"10.3233\/JAD-190587","article-title":"Analysis of Salivary Microbiome in Patients with Alzheimer\u2019s Disease","volume":"72","author":"XX Liu","year":"2019","journal-title":"J Alzheimers Dis"},{"key":"pone.0278276.ref037","volume-title":"Infectious Diseases","author":"MP Bauer","year":"2017"},{"key":"pone.0278276.ref038","doi-asserted-by":"crossref","first-page":"122","DOI":"10.1016\/j.exger.2018.12.005","article-title":"Exercise and probiotics attenuate the development of Alzheimer\u2019s disease in transgenic mice: Role of microbiome","volume":"115","author":"D Abraham","year":"2019","journal-title":"Exp Gerontol"},{"issue":"1","key":"pone.0278276.ref039","doi-asserted-by":"crossref","first-page":"236","DOI":"10.1128\/JCM.01938-15","article-title":"Two Serious Cases of Infection with Clostridium celatum after 40 Years in Hiding?","volume":"54","author":"CN Agergaard","year":"2016","journal-title":"J Clin Microbiol"},{"key":"pone.0278276.ref040","doi-asserted-by":"crossref","first-page":"5938210","DOI":"10.1155\/2019\/5938210","article-title":"Enterococci: Between Emerging Pathogens and Potential Probiotics","volume":"2019","author":"O Ben Braiek","year":"2019","journal-title":"Biomed Res Int"},{"issue":"88","key":"pone.0278276.ref041","first-page":"88","article-title":"Enterococcus durans EP1 a Promising Anti-inflammatory Probiotic Able to Stimulate sIgA and to Increase Faecalibacterium prausnitzii Abundance","volume":"8","author":"P Carasi","year":"2017","journal-title":"Front Immunol"},{"issue":"7","key":"pone.0278276.ref042","doi-asserted-by":"crossref","first-page":"1239","DOI":"10.1136\/gutjnl-2019-319114","article-title":"Myristoleic acid produced by enterococci reduces obesity through brown adipose tissue activation","volume":"69","author":"LH Quan","year":"2020","journal-title":"Gut"},{"key":"pone.0278276.ref043","doi-asserted-by":"crossref","first-page":"575","DOI":"10.1016\/j.trci.2018.06.014","article-title":"Inflammation as a central mechanism in Alzheimer\u2019s disease","volume":"4","author":"JW Kinney","year":"2018","journal-title":"Alzheimers Dement (N Y)"},{"issue":"5","key":"pone.0278276.ref044","doi-asserted-by":"crossref","first-page":"e01530","DOI":"10.1128\/mBio.01530-14","article-title":"Clostridium ramosum promotes high-fat diet-induced obesity in gnotobiotic mouse models","volume":"5","author":"A Woting","year":"2014","journal-title":"mBio"},{"issue":"7418","key":"pone.0278276.ref045","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1038\/nature11450","article-title":"A metagenome-wide association study of gut microbiota in type 2 diabetes","volume":"490","author":"J Qin","year":"2012","journal-title":"Nature"},{"issue":"1","key":"pone.0278276.ref046","doi-asserted-by":"crossref","first-page":"151","DOI":"10.1186\/s12866-017-1052-0","article-title":"Comparative analysis of gut microbiota associated with body mass index in a large Korean cohort","volume":"17","author":"Y Yun","year":"2017","journal-title":"BMC Microbiol"},{"issue":"3","key":"pone.0278276.ref047","doi-asserted-by":"crossref","first-page":"739","DOI":"10.3233\/JAD-141086","article-title":"2003\u20132013: a decade of body mass index, Alzheimer\u2019s disease, and dementia","volume":"43","author":"TL Emmerzaal","year":"2015","journal-title":"J Alzheimers Dis"},{"key":"pone.0278276.ref048","doi-asserted-by":"crossref","first-page":"60","DOI":"10.1016\/j.neurobiolaging.2016.08.019","article-title":"Association of brain amyloidosis with pro-inflammatory gut bacterial taxa and peripheral inflammation markers in cognitively impaired elderly","volume":"49","author":"A Cattaneo","year":"2017","journal-title":"Neurobiol Aging"},{"issue":"683","key":"pone.0278276.ref049","doi-asserted-by":"crossref","first-page":"683","DOI":"10.3389\/fmicb.2018.00683","article-title":"New Insights Into the Mechanisms and Biological Roles of D-Amino Acids in Complex Eco-Systems","volume":"9","author":"A Aliashkevich","year":"2018","journal-title":"Front Microbiol"},{"issue":"7","key":"pone.0278276.ref050","doi-asserted-by":"crossref","first-page":"670","DOI":"10.1016\/j.molmed.2019.11.006","article-title":"Bacterial Peptidoglycan as a Driver of Chronic Brain Inflammation","volume":"26","author":"JD Laman","year":"2020","journal-title":"Trends Mol Med"},{"key":"pone.0278276.ref051","first-page":"95","article-title":"Bacterial peptidoglycan in neuritic plaques in Alzheimer\u2019s disease","volume":"2","author":"J Miklossy","year":"1996","journal-title":"Azheimer\u2019s Res"},{"issue":"1","key":"pone.0278276.ref052","doi-asserted-by":"crossref","first-page":"9523","DOI":"10.1038\/s41598-017-10034-5","article-title":"Cross sectional evaluation of the gut-microbiome metabolome axis in an Italian cohort of IBD patients","volume":"7","author":"ML Santoru","year":"2017","journal-title":"Sci Rep"},{"issue":"5","key":"pone.0278276.ref053","doi-asserted-by":"crossref","DOI":"10.3390\/nu11051161","article-title":"Associations of AD Biomarkers and Cognitive Performance with Nutritional Status: The NUDAD Project","volume":"11","author":"AS Doorduijn","year":"2019","journal-title":"Nutrients"},{"issue":"1250","key":"pone.0278276.ref054","doi-asserted-by":"crossref","first-page":"1250","DOI":"10.3389\/fmicb.2018.01250","article-title":"Body Mass Index Differences in the Gut Microbiota Are Gender Specific","volume":"9","author":"X Gao","year":"2018","journal-title":"Front Microbiol"},{"issue":"9","key":"pone.0278276.ref055","doi-asserted-by":"crossref","first-page":"16093","DOI":"10.1038\/nmicrobiol.2016.93","article-title":"Colonic transit time is related to bacterial metabolism and mucosal turnover in the gut","volume":"1","author":"HM Roager","year":"2016","journal-title":"Nat Microbiol"},{"issue":"12","key":"pone.0278276.ref056","doi-asserted-by":"crossref","first-page":"e031947","DOI":"10.1136\/bmjopen-2019-031947","article-title":"Association of brain amyloidosis with the incidence and frequency of neuropsychiatric symptoms in ADNI: a multisite observational cohort study","volume":"9","author":"N Goukasian","year":"2019","journal-title":"BMJ Open"},{"issue":"1","key":"pone.0278276.ref057","doi-asserted-by":"crossref","first-page":"123","DOI":"10.1038\/s41398-019-0456-z","article-title":"Cortical beta-amyloid burden, neuropsychiatric symptoms, and cognitive status: the Mayo Clinic Study of Aging","volume":"9","author":"J Krell-Roesch","year":"2019","journal-title":"Transl Psychiatry"}],"container-title":["PLOS ONE"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dx.plos.org\/10.1371\/journal.pone.0278276","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,29]],"date-time":"2022-11-29T13:33:33Z","timestamp":1669728813000},"score":1,"resource":{"primary":{"URL":"https:\/\/dx.plos.org\/10.1371\/journal.pone.0278276"}},"subtitle":[],"editor":[{"given":"Kanhaiya","family":"Singh","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"editor"}]}],"short-title":[],"issued":{"date-parts":[[2022,11,29]]},"references-count":57,"journal-issue":{"issue":"11","published-online":{"date-parts":[[2022,11,29]]}},"URL":"https:\/\/doi.org\/10.1371\/journal.pone.0278276","relation":{},"ISSN":["1932-6203"],"issn-type":[{"value":"1932-6203","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,11,29]]}}}