{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,15]],"date-time":"2026-09-15T08:04:19Z","timestamp":1789459459354,"version":"build-2803163510"},"reference-count":36,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2026,9,15]],"date-time":"2026-09-15T00:00:00Z","timestamp":1789430400000},"content-version":"vor","delay-in-days":257,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Behavioural Neurology"],"published-print":{"date-parts":[[2026,1]]},"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Epilepsy remains difficult to control in some patients, motivating interest in modifiable factors linked to seizure biology. Because diet can shape gut microbial ecology and gut\u2013brain signaling, we examined whether the dietary index for gut microbiota (DI\u2010GM) was associated with prevalent epilepsy in US adults aged \u2265\u200940 years.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>This cross\u2010sectional study included 5025 participants from NHANES 2013\u20132016. DI\u2010GM was constructed from 14 predefined dietary components reflecting microbiota\u2010supportive or microbiota\u2010adverse intake. NHANES sampling weights were applied. Multivariable logistic regression evaluated associations between DI\u2010GM and prevalent epilepsy. Restricted cubic splines, subgroup analyses, and weighted quantile sum (WQS) regression were used to examine dose\u2013response shape, effect heterogeneity, and component contributions.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      In the fully adjusted model, DI\u2010GM showed an inverse association with prevalent epilepsy (OR per 1\u2010point increase, 0.80; 95% CI, 0.69\u20130.93;\n                      <jats:italic>p<\/jats:italic>\n                      = 0.008). Compared with Q1, Q4 had lower epilepsy odds (OR, 0.29; 95% CI, 0.10\u20130.87;\n                      <jats:italic>p<\/jats:italic>\n                      = 0.033). The spline analysis did not support nonlinearity (\n                      <jats:italic>p<\/jats:italic>\n                      = 0.663). The inverse association was mainly seen among adults without hypertension or diabetes, with significant interaction by hypertension (\n                      <jats:italic>p<\/jats:italic>\n                      &lt; 0.001) and diabetes status (\n                      <jats:italic>p<\/jats:italic>\n                      = 0.003). WQS results highlighted cranberries, chickpeas, avocados, soybeans, and lower processed meat intake as major contributors.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Higher DI\u2010GM adherence was associated with lower odds of prevalent epilepsy, particularly in metabolically healthier subgroups. Prospective and intervention studies are needed to test temporality and clinical relevance.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1155\/bn\/5311940","type":"journal-article","created":{"date-parts":[[2026,9,15]],"date-time":"2026-09-15T07:19:51Z","timestamp":1789456791000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Association of a Dietary Index for Gut Microbiota With Epilepsy Among US Adults Aged 40 and Over: A Cross\u2010Sectional Study"],"prefix":"10.1155","volume":"2026","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-8885-8937","authenticated-orcid":false,"given":"Jialin","family":"Yu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-4987-7713","authenticated-orcid":false,"given":"Hailong","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-0140-2952","authenticated-orcid":false,"given":"Hongmei","family":"Zeng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,9,15]]},"reference":[{"key":"e_1_2_11_1_2","doi-asserted-by":"crossref","first-page":"e203","DOI":"10.1016\/S2468-2667(24)00302-5","article-title":"Global, Regional, and National Burden of Epilepsy, 1990-2021: A Systematic Analysis for the Global Burden of Disease Study 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