Integration of blood-based biomarkers and genomic variants identifies individuals with mild cognitive impairment who benefit from multidomain intervention
{"title":"Integration of blood-based biomarkers and genomic variants identifies individuals with mild cognitive impairment who benefit from multidomain intervention","authors":"Tetsuaki Kimura, Akinori Nakamura, Taiki Sugimoto, Tomomi Satou, Naoyuki Sato, Shumpei Niida, Kouichi Ozaki, Takashi Sakurai, Hidenori Arai, Daichi Shigemizu, J-MINT study group","doi":"10.1002/trc2.70329","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> INTRODUCTION</h3>\n \n <p>Our recent Japan-Multimodal Intervention Trial for the Prevention of Dementia (J-MINT) trial suggested that multidomain lifestyle interventions may delay cognitive decline. However, substantial interindividual variability in response persists, and identifying individuals more likely to benefit from the intervention remains challenging. Blood-based biomarkers (BBMs), which provide a minimally invasive means of assessing Alzheimer's disease (AD)-related pathological processes, may help identify biologically distinct subgroups of individuals with mild cognitive impairment (MCI).</p>\n </section>\n \n <section>\n \n <h3> METHODS</h3>\n \n <p>Blood-based biomarkers—including amyloid-β42/40 ratio, phosphorylated tau-217, neurofilament light chain, and glial fibrillary acidic protein (GFAP)—were measured in J-MINT participants. Hierarchical clustering based on BBM profiles was used to identify biologically defined subgroups. Whole-genome sequencing data were analyzed using genome-wide association analysis (GWAS) to identify genetic variants associated with the BBM-based subgroup. A prediction model for the subgroup assignment was constructed using the associated incorporating the genetic variants, age, sex, and apolipoprotein E4 (<i>APOE4)</i> allele count. Model performance was evaluated using five-fold cross-validation repeated 1000 times.</p>\n </section>\n \n <section>\n \n <h3> RESULTS</h3>\n \n <p>BBM-based clustering identified a subgroup characterized by elevated GFAP and multiple biomarker abnormalities. Within this subgroup, the change in cognitive performance from baseline to 18 months differed significantly between intervention and control groups, with greater decline observed in the control group. GWAS identified four variants showing suggestive association with the subgroup, two of which were located in intronic regions of genes associated with hearing loss (<i>PCDH15</i> and <i>ATP11A</i>).</p>\n </section>\n \n <section>\n \n <h3> DISCUSSION</h3>\n \n <p>BBM-based clustering identified biologically distinct subgroups among individuals with MCI. The subgroup characterized by multiple biomarker abnormalities and elevated GFAP showed differential cognitive trajectories between the intervention and control groups. These findings suggest that BBMs, potentially in combination with genetic information, may help identify individuals with a more progressive AD-related biological profile who may derive greater benefit from multidomain intervention.</p>\n </section>\n </div>","PeriodicalId":53225,"journal":{"name":"Alzheimer''s and Dementia: Translational Research and Clinical Interventions","volume":"12 4","pages":""},"PeriodicalIF":7.4000,"publicationDate":"2026-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/trc2.70329","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Alzheimer''s and Dementia: Translational Research and Clinical Interventions","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/trc2.70329","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
INTRODUCTION
Our recent Japan-Multimodal Intervention Trial for the Prevention of Dementia (J-MINT) trial suggested that multidomain lifestyle interventions may delay cognitive decline. However, substantial interindividual variability in response persists, and identifying individuals more likely to benefit from the intervention remains challenging. Blood-based biomarkers (BBMs), which provide a minimally invasive means of assessing Alzheimer's disease (AD)-related pathological processes, may help identify biologically distinct subgroups of individuals with mild cognitive impairment (MCI).
METHODS
Blood-based biomarkers—including amyloid-β42/40 ratio, phosphorylated tau-217, neurofilament light chain, and glial fibrillary acidic protein (GFAP)—were measured in J-MINT participants. Hierarchical clustering based on BBM profiles was used to identify biologically defined subgroups. Whole-genome sequencing data were analyzed using genome-wide association analysis (GWAS) to identify genetic variants associated with the BBM-based subgroup. A prediction model for the subgroup assignment was constructed using the associated incorporating the genetic variants, age, sex, and apolipoprotein E4 (APOE4) allele count. Model performance was evaluated using five-fold cross-validation repeated 1000 times.
RESULTS
BBM-based clustering identified a subgroup characterized by elevated GFAP and multiple biomarker abnormalities. Within this subgroup, the change in cognitive performance from baseline to 18 months differed significantly between intervention and control groups, with greater decline observed in the control group. GWAS identified four variants showing suggestive association with the subgroup, two of which were located in intronic regions of genes associated with hearing loss (PCDH15 and ATP11A).
DISCUSSION
BBM-based clustering identified biologically distinct subgroups among individuals with MCI. The subgroup characterized by multiple biomarker abnormalities and elevated GFAP showed differential cognitive trajectories between the intervention and control groups. These findings suggest that BBMs, potentially in combination with genetic information, may help identify individuals with a more progressive AD-related biological profile who may derive greater benefit from multidomain intervention.
期刊介绍:
Alzheimer''s & Dementia: Translational Research & Clinical Interventions (TRCI) is a peer-reviewed, open access,journal from the Alzheimer''s Association®. The journal seeks to bridge the full scope of explorations between basic research on drug discovery and clinical studies, validating putative therapies for aging-related chronic brain conditions that affect cognition, motor functions, and other behavioral or clinical symptoms associated with all forms dementia and Alzheimer''s disease. The journal will publish findings from diverse domains of research and disciplines to accelerate the conversion of abstract facts into practical knowledge: specifically, to translate what is learned at the bench into bedside applications. The journal seeks to publish articles that go beyond a singular emphasis on either basic drug discovery research or clinical research. Rather, an important theme of articles will be the linkages between and among the various discrete steps in the complex continuum of therapy development. For rapid communication among a multidisciplinary research audience involving the range of therapeutic interventions, TRCI will consider only original contributions that include feature length research articles, systematic reviews, meta-analyses, brief reports, narrative reviews, commentaries, letters, perspectives, and research news that would advance wide range of interventions to ameliorate symptoms or alter the progression of chronic neurocognitive disorders such as dementia and Alzheimer''s disease. The journal will publish on topics related to medicine, geriatrics, neuroscience, neurophysiology, neurology, psychiatry, clinical psychology, bioinformatics, pharmaco-genetics, regulatory issues, health economics, pharmacoeconomics, and public health policy as these apply to preclinical and clinical research on therapeutics.