Social vulnerability index and inflammation: a proteomic analysis linking social context to biological risk in older black adults
- 1Department of Epidemiology, Harvard T.H. Chan School of Public Health
- 2Department of Chemistry, Vanderbilt University
- 3Rush Alzheimer’s Disease Center, Rush University Medical Center
Abstract
Background Inflammation is a key driver of age-related disease and has been associated with social conditions. We examined how cumulative community-level social and structural disadvantage is associated with inflammatory proteomic profiles in older Black adults. Methods We employed data from the Minority Aging Research Study and the Rush Clinical Core, including the Social Vulnerability Index (SVI; global score and four domains) and 92 plasma inflammatory proteins (Olink® Target-96 Inflammation). Cross-sectional associations between each SVI metric and inflammatory proteins (principal component (PC)-derived global proteomic profile and protein-specific) were assessed using multivariable linear models (demographic, behavioral, and individual-level socioeconomic factors adjusted), with additional sex-by-SVI interaction terms. In a secondary analysis, we replaced SVI with the Index of Concentration at the Extremes (ICE) for household income (ICEincome). Results A total of 580 participants (mean (SD) age of 74.9 (6.50) years; 79.7% women) had global SVI and proteomics assessed. Lower household composition (SVIHHC) was associated with the primary global proteomic profile, represented by the 1st proteomic PC (beta = −0.429, p-value = 0.019). A secondary exploratory analysis using the first five proteomic PCs showed that higher minority status/language (SVIMSL) and socioeconomic status (SVISES) were associated with an inflammatory proteomic profile (SVIMSL-PC3: beta=0.160, p-value = 0.048; SVISES-PC2: beta = 0.286, p-value = 0.012). In protein-specific analyses, no SVI-protein associations were found. We found an SVIHHC-by-sex interaction for interleukin-10 receptor alpha (IL-10RA; beta = −0.258, p-value = 5.01×10−4), and among men, SVIMSL was associated with Sirtuin 2 (beta = −0.397, p-value = 8.51×10−04) and STAM binding protein (beta = −0.304, p-value = 9.87×10−04). ICEincome was inversely associated with the global proteomic profile (beta = −0.233, p-value = 0.051), and an ICEincome-by-sex interaction was found for IL-10RA (beta=0.279, p-value = 4.66×10−04). Conclusions By analyzing associations between community-level factors and inflammation-related proteins, our study provides new molecular insights into how social context may relate to biological risk, identifies proteomic patterns that could inform the development of community-level interventions, and underscores the utility of integrating multi-omics approaches to investigate biological pathways relevant to health disparities research.
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BibTeX
@article{meir2026social,
title = {{Social vulnerability index and inflammation: a proteomic analysis linking social context to biological risk in older black adults}},
author = {Anat Yaskolka Meir and Henry A. Adeola and Shinya Tasaki and Liming Liang and Renã A. S. Robinson and Brittney S. Lange-Maia and Melissa Lamar and Ana W. Capuano and Lisa L. Barnes},
journal = {BMC Medicine},
year = {2026},
month = jul,
doi = {10.1186/s12916-026-04997-4},
url = {https://doi.org/10.1186/s12916-026-04997-4},
note = {CC BY},
}
RIS
TY - JOUR
TI - Social vulnerability index and inflammation: a proteomic analysis linking social context to biological risk in older black adults
AU - Anat Yaskolka Meir
AU - Henry A. Adeola
AU - Shinya Tasaki
AU - Liming Liang
AU - Renã A. S. Robinson
AU - Brittney S. Lange-Maia
AU - Melissa Lamar
AU - Ana W. Capuano
AU - Lisa L. Barnes
PY - 2026
DA - 2026/07/01
JO - BMC Medicine
DO - 10.1186/s12916-026-04997-4
UR - https://doi.org/10.1186/s12916-026-04997-4
AB - Background Inflammation is a key driver of age-related disease and has been associated with social conditions. We examined how cumulative community-level social and structural disadvantage is associated with inflammatory proteomic profiles in older Black adults. Methods We employed data from the Minority Aging Research Study and the Rush Clinical Core, including the Social Vulnerability Index (SVI; global score and four domains) and 92 plasma inflammatory proteins (Olink® Target-96 Inflammation). Cross-sectional associations between each SVI metric and inflammatory proteins (principal component (PC)-derived global proteomic profile and protein-specific) were assessed using multivariable linear models (demographic, behavioral, and individual-level socioeconomic factors adjusted), with additional sex-by-SVI interaction terms. In a secondary analysis, we replaced SVI with the Index of Concentration at the Extremes (ICE) for household income (ICEincome). Results A total of 580 participants (mean (SD) age of 74.9 (6.50) years; 79.7% women) had global SVI and proteomics assessed. Lower household composition (SVIHHC) was associated with the primary global proteomic profile, represented by the 1st proteomic PC (beta = −0.429, p-value = 0.019). A secondary exploratory analysis using the first five proteomic PCs showed that higher minority status/language (SVIMSL) and socioeconomic status (SVISES) were associated with an inflammatory proteomic profile (SVIMSL-PC3: beta=0.160, p-value = 0.048; SVISES-PC2: beta = 0.286, p-value = 0.012). In protein-specific analyses, no SVI-protein associations were found. We found an SVIHHC-by-sex interaction for interleukin-10 receptor alpha (IL-10RA; beta = −0.258, p-value = 5.01×10−4), and among men, SVIMSL was associated with Sirtuin 2 (beta = −0.397, p-value = 8.51×10−04) and STAM binding protein (beta = −0.304, p-value = 9.87×10−04). ICEincome was inversely associated with the global proteomic profile (beta = −0.233, p-value = 0.051), and an ICEincome-by-sex interaction was found for IL-10RA (beta=0.279, p-value = 4.66×10−04). Conclusions By analyzing associations between community-level factors and inflammation-related proteins, our study provides new molecular insights into how social context may relate to biological risk, identifies proteomic patterns that could inform the development of community-level interventions, and underscores the utility of integrating multi-omics approaches to investigate biological pathways relevant to health disparities research.
SN - 1741-7015
ER -