{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,7]],"date-time":"2026-05-07T06:08:03Z","timestamp":1778134083156,"version":"3.51.4"},"reference-count":53,"publisher":"Wiley","issue":"9","license":[{"start":{"date-parts":[[2025,9,21]],"date-time":"2025-09-21T00:00:00Z","timestamp":1758412800000},"content-version":"vor","delay-in-days":20,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2025,9,1]],"date-time":"2025-09-01T00:00:00Z","timestamp":1756684800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82441055"],"award-info":[{"award-number":["82441055"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Brain and Behavior"],"published-print":{"date-parts":[[2025,9]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Migraines are a prevalent neurological condition that significantly impacts quality of life, but the underlying pathophysiology remains unclear. This study aims to explore the relationship between inflammatory biomarkers and migraine prevalence in young and early middle\u2010aged Americans. The inflammatory biomarkers considered include the Systemic Immune\u2010Inflammation Index (SII), Systemic Inflammatory Response Index (SIRI), Platelet\u2010to\u2010Lymphocyte Ratio (PLR), Neutrophil\u2010to\u2010Lymphocyte Ratio (NLR), and Lymphocyte\u2010to\u2010Monocyte Ratio (LMR).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Data from the National Health and Nutrition Examination Survey (NHANES) 1999\u20132004 were utilized for this investigation. Subgroup analysis, smooth curve fitting, and multivariable logistic regression were employed to evaluate associations. Boruta's algorithm, alongside nine machine learning models, was applied to identify key features. SHapley Additive Explanations (SHAP) values were used to interpret the leading models and highlight influential features.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      The study revealed no significant differences in SII, SIRI, NLR, or PLR between individuals with and without migraines. However, a significantly higher LMR was observed in individuals with migraines (mean difference: 0.37,\n                      <jats:italic>p\u00a0<\/jats:italic>\n                      &lt;\u00a00.001). Multivariable logistic regression analysis demonstrated a strong positive correlation between LMR and migraine risk across multiple models (OR\u00a0=\u00a01.51, 95% CI: 1.14\u20132.00,\n                      <jats:italic>p\u00a0<\/jats:italic>\n                      =\u00a00.009). No significant associations were found for the other inflammatory biomarkers. Subgroup analyses further confirmed that the positive correlation between LMR and migraine risk remained consistent across different strata. Threshold effect analysis revealed a stable linear relationship between LMR and migraine risk up to a value of 1.61. Among the nine machine learning models, the LightGBM model exhibited the highest AUROC (0.9198), recall (93.3%),\n                      <jats:italic>F<\/jats:italic>\n                      1\u2010score (0.896), and MCC (0.702).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>LMR may serve as a potential biomarker for assessing migraine risk, offering support for early diagnosis and personalized intervention strategies.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/brb3.70886","type":"journal-article","created":{"date-parts":[[2025,9,22]],"date-time":"2025-09-22T06:34:09Z","timestamp":1758522849000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Exploring the Link Between Inflammatory Biomarkers (SII, SIRI, PLR, NLR, LMR) and Migraine in Young and Early Middle\u2010Aged US Adults: Evidence From NHANES 1999\u20132004 and Machine Learning Models"],"prefix":"10.1002","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0271-0877","authenticated-orcid":false,"given":"Guodong","family":"Ha","sequence":"first","affiliation":[{"name":"Acupuncture and Tuina School Chengdu University of Traditional Chinese Medicine  Chengdu Sichuan China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zixuan","family":"Yan","sequence":"additional","affiliation":[{"name":"Acupuncture and Tuina School Chengdu University of Traditional Chinese Medicine  Chengdu Sichuan China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiawei","family":"Wu","sequence":"additional","affiliation":[{"name":"Acupuncture and Tuina School Chengdu University of Traditional Chinese Medicine  Chengdu Sichuan China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xun","family":"Wang","sequence":"additional","affiliation":[{"name":"Acupuncture and Tuina School Chengdu University of Traditional Chinese Medicine  Chengdu Sichuan China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jing","family":"Hu","sequence":"additional","affiliation":[{"name":"Acupuncture and Tuina School Chengdu University of Traditional Chinese Medicine  Chengdu Sichuan China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1937-1605","authenticated-orcid":false,"given":"Lincheng","family":"Duan","sequence":"additional","affiliation":[{"name":"Acupuncture and Tuina School Chengdu University of Traditional Chinese Medicine  Chengdu Sichuan China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhengyu","family":"Zhao","sequence":"additional","affiliation":[{"name":"Acupuncture and Tuina School Chengdu University of Traditional Chinese Medicine  Chengdu Sichuan China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dingjun","family":"Cai","sequence":"additional","affiliation":[{"name":"Acupuncture and Tuina School Chengdu University of Traditional Chinese Medicine  Chengdu Sichuan China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2025,9,21]]},"reference":[{"key":"e_1_2_12_2_1","doi-asserted-by":"publisher","DOI":"10.1186\/s10194\u2010020\u20101078\u20109"},{"key":"e_1_2_12_3_1","doi-asserted-by":"publisher","DOI":"10.1186\/s12974\u2010021\u201002229\u20105"},{"key":"e_1_2_12_4_1","doi-asserted-by":"publisher","DOI":"10.1093\/cei\/uxab025"},{"key":"e_1_2_12_5_1","doi-asserted-by":"publisher","DOI":"10.1111\/head.13281"},{"key":"e_1_2_12_6_1","doi-asserted-by":"publisher","DOI":"10.1111\/head.14024"},{"key":"e_1_2_12_7_1","doi-asserted-by":"publisher","DOI":"10.3748\/wjg.v23.i34.6261"},{"issue":"6","key":"e_1_2_12_8_1","first-page":"4118","article-title":"A Combined Index Constructed Based on NLR and PLR Is Associated With In\u2010Hospital Mortality Risk in Patients With Acute Myocardial Infarction","volume":"15","author":"Chen Y.","year":"2023","journal-title":"American journal of Translational Research"},{"issue":"2","key":"e_1_2_12_9_1","first-page":"63","article-title":"Anti\u2010IL\u20106 Receptor Treatment in Giant Cell Arteritis Patients Reduces Levels of IL\u20101\u03b2\u2010Receptor Antagonist but Not IL\u20101\u03b2","volume":"4","author":"Costa J. 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