Associations between neighborhood socioeconomic deprivation, IFNγ, and high-density lipoprotein particle size: Data from the Washington, D.C. cardiovascular health and needs assessment

Neighborhood socioeconomic deprivation is associated with increased cardiovascular risk factors, including inflammation. Inflammation plays an important role in modifying the cardioprotective function of high-density lipoprotein (HDL). Moreover, recent studies suggest that very high HDL is associate...

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Published inPsychoneuroendocrinology Vol. 157; p. 106346
Main Authors Ortiz-Whittingham, Lola R., Baumer, Yvonne, Pang, Alina P.S., Sampson, Maureen, Baez, Andrew S., Rose, Raviv, Noonan, Sarah H., Mendez-Silva, Joanna, Collins, Billy S., Mitchell, Valerie M., Cintron, Manuel A., Farmer, Nicole, Remaley, Alan T., Corley, Michael J., Powell-Wiley, Tiffany M.
Format Journal Article
LanguageEnglish
Published England Elsevier Ltd 01.11.2023
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Summary:Neighborhood socioeconomic deprivation is associated with increased cardiovascular risk factors, including inflammation. Inflammation plays an important role in modifying the cardioprotective function of high-density lipoprotein (HDL). Moreover, recent studies suggest that very high HDL is associated with adverse cardiovascular disease (CVD) outcomes. Thus, we sought to explore the relationships between neighborhood socioeconomic deprivation as a marker of chronic stress, inflammation, proprotein convertase subtilisin/kexin type 9 (PCSK9) (a core component of the HDL proteome), HDL characterisitcs, and biological aging as a predictor of CVD and all-cause mortality. Sixty African American subjects were recruited to the NIH Clinical Center as part of a community-based participatory research-designed observational study. Neighborhood deprivation index (NDI), a marker of neighborhood socioeconomic deprivation, was measured using US Census data. HDL characteristics (cholesterol, particle number, size, subspecies) were determined from NMR lipoprotein profiling, and plasma cytokines (IL-1β, IL-6, IL-8, TNFα, IFNγ) were measured using an ELISA-based multiplex technique. Epigenetic clock biomarkers of aging were measured using DNA methylation data obtained from participants' buffy coat samples. We used linear regression modeling adjusted for atherosclerotic cardiovascular disease (ASCVD) risk score, body mass index (BMI), and lipid-lowering medication use to investigate relationships of interest. NDI directly associated with large HDL particle count (H7P) and IFNγ and trended toward significance with HDL-C and PCSK9. IFNγ and PCSK9 then directly associated with H7P. H7P also directly associated with higher DNA methylation phenotypic age (PhenoAge). We highlight associations between neighborhood socioeconomic deprivation, IFNγ, PCSK9, HDL subspecies, and epigenetic biomarkers of aging. Taken together, our findings suggest indirect pathways linking neighborhood deprivation-related stress and inflammation to HDL and immune epigenetic changes. Moreover, these results add to recent work showing the pathogenicity of high HDL levels and underscore the need to understand how chronic stress-related inflammation and lipoprotein subspecies relate to CVD risk across diverse populations. [Display omitted] •Neighborhood socioeconomic deprivation associates with IFNγ, PCSK9, and H7P.•IFNγ and PCSK9 associate with H7P.•H7P associates with DNAm PhenoAge.•Chronic stress-related inflammation may modify the cardioprotective capacity of HDL.
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These authors contributed equally to this work and share first authorship
LRO-W, YB, and TMP-W conceptualized the study. LRO-W, ASB, and YB performed experiments and statistical analysis. MS and ATR performed lipoprotein profiling and subsequent analysis. BSC, VMM, NF, and TMP-W performed and oversaw patient recruitment and visits. APSP and MJC performed measurement of the DNA methylation epigenetic clocks and subsequent analysis. TMP-W provided funding and supervision for this study. LRO-W wrote the initial draft of the manuscript. All authors participated in the editing of the manuscript.
Author Contributions
ISSN:0306-4530
1873-3360
1873-3360
DOI:10.1016/j.psyneuen.2023.106346