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Inflammatory biomarkers link perceived stress with metabolic dysregulation
OBJECTIVE: Perceived stress has been identified as a risk factor for metabolic syndrome. However, the intermediate pathways underlying this relationship are not well understood. Inflammatory responses may be one process by which stress leads to metabolic dysregulation. Prior work has shown that chro...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10623170/ https://www.ncbi.nlm.nih.gov/pubmed/37928770 http://dx.doi.org/10.1016/j.bbih.2023.100696 |
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author | Jurgens, Savana M. Prieto, Sarah Hayes, Jasmeet P. |
author_facet | Jurgens, Savana M. Prieto, Sarah Hayes, Jasmeet P. |
author_sort | Jurgens, Savana M. |
collection | PubMed |
description | OBJECTIVE: Perceived stress has been identified as a risk factor for metabolic syndrome. However, the intermediate pathways underlying this relationship are not well understood. Inflammatory responses may be one process by which stress leads to metabolic dysregulation. Prior work has shown that chronic stress is associated with elevated systemic inflammation and that altered inflammatory activity contributes to the pathogenesis of metabolic syndrome. The current analyses tested this hypothesis by examining inflammation as a pathway by which perceived stress affects metabolic health. METHODS: Data from the Midlife in the United States Study (MIDUS) (N = 648; Mean age = 52.3) provided measures of perceived stress, inflammatory biomarkers [C-reactive protein (CRP), interleukin-6 (IL-6), E-selectin, fibrinogen, intracellular adhesion molecule-1 (ICAM-1)] and metabolic health markers. Confirmatory factor analysis (CFA) was used to confirm the fit of a hierarchical model of metabolic syndrome in our sample. Structural equation modeling (SEM) was used to test the assumption that inflammation mediates the association between perceived stress and the latent factor representing metabolic syndrome. RESULTS: The CFA of metabolic syndrome demonstrated excellent goodness of fit to our sample [CFI = 0.97, TLI = 0.95, RMSEA = 0.06, SMSR = 0.05]. Mediation analysis with SEM revealed that the indirect pathway linking stress to metabolic dysregulation through inflammation was significant [B = 0.08, SE = 0.01, z = 3.69, p < .001, 95% confidence interval CI (0.04, 0.13)]. CONCLUSIONS: These results suggest that inflammatory biomarkers are a viable explanatory pathway for the relationship between perceived stress and metabolic health consequences. Interventions that target psychosocial stress may serve as cost-effective and accessible treatment options for mitigating inflammatory health risks. |
format | Online Article Text |
id | pubmed-10623170 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-106231702023-11-04 Inflammatory biomarkers link perceived stress with metabolic dysregulation Jurgens, Savana M. Prieto, Sarah Hayes, Jasmeet P. Brain Behav Immun Health Full Length Article OBJECTIVE: Perceived stress has been identified as a risk factor for metabolic syndrome. However, the intermediate pathways underlying this relationship are not well understood. Inflammatory responses may be one process by which stress leads to metabolic dysregulation. Prior work has shown that chronic stress is associated with elevated systemic inflammation and that altered inflammatory activity contributes to the pathogenesis of metabolic syndrome. The current analyses tested this hypothesis by examining inflammation as a pathway by which perceived stress affects metabolic health. METHODS: Data from the Midlife in the United States Study (MIDUS) (N = 648; Mean age = 52.3) provided measures of perceived stress, inflammatory biomarkers [C-reactive protein (CRP), interleukin-6 (IL-6), E-selectin, fibrinogen, intracellular adhesion molecule-1 (ICAM-1)] and metabolic health markers. Confirmatory factor analysis (CFA) was used to confirm the fit of a hierarchical model of metabolic syndrome in our sample. Structural equation modeling (SEM) was used to test the assumption that inflammation mediates the association between perceived stress and the latent factor representing metabolic syndrome. RESULTS: The CFA of metabolic syndrome demonstrated excellent goodness of fit to our sample [CFI = 0.97, TLI = 0.95, RMSEA = 0.06, SMSR = 0.05]. Mediation analysis with SEM revealed that the indirect pathway linking stress to metabolic dysregulation through inflammation was significant [B = 0.08, SE = 0.01, z = 3.69, p < .001, 95% confidence interval CI (0.04, 0.13)]. CONCLUSIONS: These results suggest that inflammatory biomarkers are a viable explanatory pathway for the relationship between perceived stress and metabolic health consequences. Interventions that target psychosocial stress may serve as cost-effective and accessible treatment options for mitigating inflammatory health risks. Elsevier 2023-10-17 /pmc/articles/PMC10623170/ /pubmed/37928770 http://dx.doi.org/10.1016/j.bbih.2023.100696 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Full Length Article Jurgens, Savana M. Prieto, Sarah Hayes, Jasmeet P. Inflammatory biomarkers link perceived stress with metabolic dysregulation |
title | Inflammatory biomarkers link perceived stress with metabolic dysregulation |
title_full | Inflammatory biomarkers link perceived stress with metabolic dysregulation |
title_fullStr | Inflammatory biomarkers link perceived stress with metabolic dysregulation |
title_full_unstemmed | Inflammatory biomarkers link perceived stress with metabolic dysregulation |
title_short | Inflammatory biomarkers link perceived stress with metabolic dysregulation |
title_sort | inflammatory biomarkers link perceived stress with metabolic dysregulation |
topic | Full Length Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10623170/ https://www.ncbi.nlm.nih.gov/pubmed/37928770 http://dx.doi.org/10.1016/j.bbih.2023.100696 |
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