Association of genetic scores related to insulin resistance with neurological outcomes in ancestrally diverse cohorts from the Trans-Omics for Precision Medicine (TOPMed) program.
Chloé Sarnowski, Yixin Zhang, Farah Ammous, Lincoln M P Shade, Daniel DiCorpo, Xueqiu Jian, Donna K Arnett, Thomas R Austin, Alexa Beiser, Joshua C Bis, John Blangero, Eric Boerwinkle, Jan Bressler, Joanne E Curran, Charles S DeCarli, Harsha Doddapaneni, Josée Dupuis, David W Fardo, Jose C Florez, Stacey Gabriel, Richard A Gibbs, David C Glahn, Namrata Gupta, Hector M González, Kevin A González, Konstantinos Hatzikotoulas, Kathleen M Hayden, Susan R Heckbert, Bertha Hidalgo, Alicia Huerta-Chagoya, Timothy M Hughes, Sharon L R Kardia, Charles L Kooperberg, Lenore J Launer, W T Longstreth, Ravi Mandla, Rasika A Mathias, Andrew P Morris, Thomas H Mosley, Ilya M Nasrallah, Paul Nyquist, Bruce M Psaty, Qibin Qi, Laura M Raffield, Nigel W Rayner, Alexander P Reiner, Claudia L Satizabal, Elizabeth Selvin, Magdalena D R Sevilla-Gonzalez, Albert V Smith, Jennifer A Smith, Kirk Smith, Beverly M Snively, Lorraine Southam, Tamar Sofer, Ken Suzuki, Henry J Taylor, Miriam S Udler, Karine A Viaud-Martinez, Sylvia Wassertheil-Smoller, Alexis C Wood, Lisa R Yanek, Xianyong Yin, Alisa K Manning, Jerome I Rotter, Stephen S Rich, James B Meigs, Myriam Fornage, Sudha Seshadri, Alanna C Morrison
{"title":"Association of genetic scores related to insulin resistance with neurological outcomes in ancestrally diverse cohorts from the Trans-Omics for Precision Medicine (TOPMed) program.","authors":"Chloé Sarnowski, Yixin Zhang, Farah Ammous, Lincoln M P Shade, Daniel DiCorpo, Xueqiu Jian, Donna K Arnett, Thomas R Austin, Alexa Beiser, Joshua C Bis, John Blangero, Eric Boerwinkle, Jan Bressler, Joanne E Curran, Charles S DeCarli, Harsha Doddapaneni, Josée Dupuis, David W Fardo, Jose C Florez, Stacey Gabriel, Richard A Gibbs, David C Glahn, Namrata Gupta, Hector M González, Kevin A González, Konstantinos Hatzikotoulas, Kathleen M Hayden, Susan R Heckbert, Bertha Hidalgo, Alicia Huerta-Chagoya, Timothy M Hughes, Sharon L R Kardia, Charles L Kooperberg, Lenore J Launer, W T Longstreth, Ravi Mandla, Rasika A Mathias, Andrew P Morris, Thomas H Mosley, Ilya M Nasrallah, Paul Nyquist, Bruce M Psaty, Qibin Qi, Laura M Raffield, Nigel W Rayner, Alexander P Reiner, Claudia L Satizabal, Elizabeth Selvin, Magdalena D R Sevilla-Gonzalez, Albert V Smith, Jennifer A Smith, Kirk Smith, Beverly M Snively, Lorraine Southam, Tamar Sofer, Ken Suzuki, Henry J Taylor, Miriam S Udler, Karine A Viaud-Martinez, Sylvia Wassertheil-Smoller, Alexis C Wood, Lisa R Yanek, Xianyong Yin, Alisa K Manning, Jerome I Rotter, Stephen S Rich, James B Meigs, Myriam Fornage, Sudha Seshadri, Alanna C Morrison","doi":"10.1038/s42003-025-08674-9","DOIUrl":null,"url":null,"abstract":"<p><p>To better characterize the potential biological mechanisms underlying insulin resistance (IR) and dementia, we derive cross-population and population specific polygenic scores [PSs] for fasting insulin and IR-related partitioned PSs [pPSs]. We conduct a cross-sectional study of the associations of these genetic scores with neurological outcomes in >17k participants (36% men, mean age 55 yrs) from the Trans-Omics for Precision Medicine (TOPMed) program (50% Non-Hispanic White, 23% Black/African American, 21% Hispanic/Latino American, and 4% Asian American). We report significant negative associations (P < 0.002) of the cross-population (P = 1.3 × 10<sup>-5</sup>) and European (P<sub>EA</sub> = 3.0 × 10<sup>-8</sup>) fasting insulin PSs with total cranial volume, and of a metabolic syndrome European PS with general cognitive function (B<sub>EA</sub> = -0.13, P<sub>EA</sub> = 0.0002) and lateral ventricular volume (B<sub>EA</sub> = 0.09, P<sub>EA</sub> = 0.002). We identify suggestive negative associations (P < 0.007) of metabolic syndrome and obesity pPSs with general cognitive function, and of lipodystrophy pPSs with total cranial volume. A higher genetic predisposition to IR is associated with lower brain size, and a genetic predisposition to specific IR-related type 2 diabetes subtypes, such as metabolic syndrome and mechanisms of IR mediated through obesity and lipodystrophy, is potentially involved in cognitive decline.</p>","PeriodicalId":10552,"journal":{"name":"Communications Biology","volume":"8 1","pages":"1352"},"PeriodicalIF":5.1000,"publicationDate":"2025-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12460837/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Communications Biology","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1038/s42003-025-08674-9","RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
To better characterize the potential biological mechanisms underlying insulin resistance (IR) and dementia, we derive cross-population and population specific polygenic scores [PSs] for fasting insulin and IR-related partitioned PSs [pPSs]. We conduct a cross-sectional study of the associations of these genetic scores with neurological outcomes in >17k participants (36% men, mean age 55 yrs) from the Trans-Omics for Precision Medicine (TOPMed) program (50% Non-Hispanic White, 23% Black/African American, 21% Hispanic/Latino American, and 4% Asian American). We report significant negative associations (P < 0.002) of the cross-population (P = 1.3 × 10-5) and European (PEA = 3.0 × 10-8) fasting insulin PSs with total cranial volume, and of a metabolic syndrome European PS with general cognitive function (BEA = -0.13, PEA = 0.0002) and lateral ventricular volume (BEA = 0.09, PEA = 0.002). We identify suggestive negative associations (P < 0.007) of metabolic syndrome and obesity pPSs with general cognitive function, and of lipodystrophy pPSs with total cranial volume. A higher genetic predisposition to IR is associated with lower brain size, and a genetic predisposition to specific IR-related type 2 diabetes subtypes, such as metabolic syndrome and mechanisms of IR mediated through obesity and lipodystrophy, is potentially involved in cognitive decline.
期刊介绍:
Communications Biology is an open access journal from Nature Research publishing high-quality research, reviews and commentary in all areas of the biological sciences. Research papers published by the journal represent significant advances bringing new biological insight to a specialized area of research.