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evidence from other ancestry groups remains limited.<\/jats:p>\n                <\/jats:sec>\n                <jats:sec>\n                  <jats:title>Objectives<\/jats:title>\n                  <jats:p>We conducted a two-stage study to evaluate associations of multiple dietary patterns with gut microbiome diversity and composition among Black\/African American adults and validate significant findings in a Hispanic\/Latino population in the US.<\/jats:p>\n                <\/jats:sec>\n                <jats:sec>\n                  <jats:title>Methods<\/jats:title>\n                  <jats:p>Included were 514 Black participants from the Southern Community Cohort Study (SCCS) and 2,133 participants from the Hispanic Community Health Study\/Study of Latinos (HCHS\/SOL). Diet was collected by food frequency questionnaires or 24-h dietary recalls at cohort enrollment. Gut microbiome profiling was performed by shotgun metagenomic sequencing of stool samples collected during cohort follow-up. Five dietary patterns - Healthy Eating Index (HEI), Dietary Approaches to Stop Hypertension (DASH), Empirical Dietary Inflammatory Potential (EDIP), Empirical Dietary Index for Hyperinsulinemia (EDIH), and Ultra-Processed Foods (UPF) - were examined for associations with microbiome diversity and composition by linear regression after data transformation and confounders adjustment. Microbial taxa with FDR&lt;0.1 and their constituent lower-level features identified in SCCS were targeted for validation in HCHS\/SOL.<\/jats:p>\n                <\/jats:sec>\n                <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>\n                    In SCCS, HEI, DASH, EDIP, or EDIH were associated with the relative abundances of 14 microbial taxa, primarily members of families\n                    <jats:italic>Coriobacteriaceae<\/jats:italic>\n                    and\n                    <jats:italic>unclassified Firmicutes,<\/jats:italic>\n                    as well as species\n                    <jats:italic>Lactococcus lactis<\/jats:italic>\n                    and\n                    <jats:italic>Clostridium sp. AF20-17LB<\/jats:italic>\n                    . Among these, the inverse associations of genus\n                    <jats:italic>Collinsella<\/jats:italic>\n                    and its species\n                    <jats:italic>C. aerofaciens<\/jats:italic>\n                    with HEI or DASH were validated in HCHS\/SOL (all\n                    <jats:italic>P<\/jats:italic>\n                    &lt;0.05). Additionally,\n                    <jats:italic>Collinsella<\/jats:italic>\n                    and\n                    <jats:italic>C. aerofaciens<\/jats:italic>\n                    were associated with higher odds of obesity in SCCS (BMI\u2265 30 kg\/m2; OR [95%CI]:1.24 [1.01, 1.53] and 1.32 [1.07, 1.63], respectively).\n                  <\/jats:p>\n                <\/jats:sec>\n                <jats:sec>\n                  <jats:title>Conclusions<\/jats:title>\n                  <jats:p>\n                    Healthier dietary patterns were consistently associated with lower abundances of\n                    <jats:italic>Collinsella<\/jats:italic>\n                    and\n                    <jats:italic>C. aerofaciens<\/jats:italic>\n                    in Black\/African and Hispanic\/Latino Americans. Further research should clarify causal pathway linking diet, gut microbiome, and health outcomes across diverse populations.\n                  <\/jats:p>\n                <\/jats:sec>","DOI":"10.64898\/2026.09.04.26362286","type":"posted-content","created":{"date-parts":[[2026,9,11]],"date-time":"2026-09-11T16:10:25Z","timestamp":1789143025000},"source":"Crossref","is-referenced-by-count":0,"title":["Discovery and Validation of Gut Microbiome Features Associated with Dietary Patterns in U.S. Black\/African and Hispanic\/Latino Populations"],"prefix":"10.64898","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7535-0791","authenticated-orcid":false,"given":"Lei","family":"Wang","sequence":"first","affiliation":[{"name":"Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, 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