{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["49"],"submitter":["Hallab A"],"pubmed_abstract":["<h4>Introduction</h4>Therapy-resistant depression is associated with higher levels of systemic inflammation and increased odds of metabolic disorders. It is, therefore, crucial to identify the biomarkers of high-risk individuals and understand the key features of depression-immunometabolic networks.<h4>Methods</h4>The multiethnic ≥50-year-old study population is a subset of the Health and Aging Brain Study: Health Disparities (HABS-HD) study. Spearman's rank correlation network analysis was performed between immunological, metabolic, and subscales of the Geriatric Depression Scale (GDS). Significant correlations were then evaluated using a multivariable linear regression analysis, including testing for non-linearity and clinical cutoffs.<h4>Results</h4>Two clusters were formed: the first i"],"journal":["Brain, behavior, & immunity - health"],"pagination":["101103"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12523063"],"repository":["biostudies-literature"],"pubmed_title":["Networks and clusters of immunometabolic biomarkers and depression-associated features in middle-aged and older community-dwelling US adults with and without depression."],"pmcid":["PMC12523063"],"pubmed_authors":["Petersen M","Vardarajan B","Zhang F","Johnson L","Hall JR","Lee J","Cheema A","Barber R","Ances B","Vig R","Mason D","Mielke M","Shi Y","McColl R","Babulal G","Hill C","King K","Borzage M","Mindt MR","Okonkwo O","Large S","Llibre-Guerra J","HABS-HD Investigators","Hallab A","Mapstone M","Christian B","HABS-HD MPIs","Kind A","Palmer R","Barnes L","Rissman R","Braskie M","Nandy R","Phillips N","Donohue M","Zhou Z","Raman R","Cohen A","O'Bryant SE","Yaffe K","Toga A","Vintimilla R","Health and Aging Brain Study (HABS-HD) Study Team"],"additional_accession":[]},"is_claimable":false,"name":"Networks and clusters of immunometabolic biomarkers and depression-associated features in middle-aged and older community-dwelling US adults with and without depression.","description":"<h4>Introduction</h4>Therapy-resistant depression is associated with higher levels of systemic inflammation and increased odds of metabolic disorders. It is, therefore, crucial to identify the biomarkers of high-risk individuals and understand the key features of depression-immunometabolic networks.<h4>Methods</h4>The multiethnic ≥50-year-old study population is a subset of the Health and Aging Brain Study: Health Disparities (HABS-HD) study. Spearman's rank correlation network analysis was performed between immunological, metabolic, and subscales of the Geriatric Depression Scale (GDS). Significant correlations were then evaluated using a multivariable linear regression analysis, including testing for non-linearity and clinical cutoffs.<h4>Results</h4>Two clusters were formed: the first i","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Nov","modification":"2026-06-04T12:20:17.862Z","creation":"2026-05-09T03:08:27.248Z"},"accession":"S-EPMC12523063","cross_references":{"pubmed":["41104357"],"doi":["10.1016/j.bbih.2025.101103"]}}