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Metabolic Syndrome, Physical Activity, and Inflammation: A Cross-Sectional Analysis of 110 Circulating Biomarkers in Japanese Adults

  1. Author:
    Van Alsten, Sarah C.
    Rabkin, Charles S.
    Sawada, Norie
    Shimazu, Taichi
    Charvat, Hadrien
    Yamaji, Taiki
    Inoue, Manami
    Kemp,Troy
    Pinto,Ligia
    Camargo, M. Constanza
    Tsugane, Shoichiro
    Song, Minkyo
  2. Author Address

    Washington Univ, St Louis, MO 63110 USA.NCI, Div Canc Epidemiol & Genet, NIH, Bethesda, MD 20892 USA.Natl Canc Ctr, Ctr Publ Hlth Sci, Epidemiol & Prevent Grp, Tokyo, Japan.Leidos Biomed Res Inc, HPV Immunol Lab, Frederick Natl Lab Canc Res, Frederick, MD USA.
    1. Year: 2020
    2. Date: AUG
  1. Journal: CANCER EPIDEMIOLOGY BIOMARKERS & PREVENTION
  2. AMER ASSOC CANCER RESEARCH,
    1. 29
    2. 8
    3. Pages: 1639-1646
  3. Type of Article: Article
  4. ISSN: 1055-9965
  1. Abstract:

    Background: Metabolic syndrome (MetS) is a systemic inflammatory state. Low physical activity (PA) could modify this pathophysiology or act as an independent contributor to inflammation. Previous studies of both conditions have identified altered levels of inflammation- and immune-related proteins based on limited sets of candidate markers. Methods: We investigated associations of MetS and low PA with circulating inflammation markers in a stratified random sample of Japanese adults (N = 774, mean age 60.7 years) within the Japan Public Health Center-based Prospective Study (JPHC) Cohort II. AHA/NHLBI criteria were used to define MetS (19%) and the bottom quartile of PA was considered low. 110 circulating biomarkers, including cytokines, chemokines, and soluble receptors were measured by multiplex bead-based and proximity-extension assays. Associations of MetS and low PA with marker quantiles were adjusted for each other and for age, sex, study site, cigarette smoking, alcohol consumption, and blood sample fasting state by ordinal logistic regression. P values were corrected for FDR. Results: MetS was significantly associated with levels of six markers: IL18R1 [odds ratio 2.37; 95% confidence interval (CI), 1.45-3.87], CRP (2.07; 95% CI, 1.48-2.90), SAP (2.08; 95% CI, 1.472.95), CCL19/MIP3b (2.06; 95% CI, 1.48-2.88), CXCL12/ SDF1a+b (0.48; 95% CI, 0.32-0.65), and CCL28 (0.44; 95% CI, 0.27-0.71). Low PA had no significant marker associations. Conclusions: Positively associated markers with MetS are mostly Th1 immune response-related and acute phase proteins, whereas negatively associated markers are generally Th2-related. Impact: MetS is associated with a broad range of alterations in immune and inflammatory biomarkers that may contribute to risks of various chronic diseases, independent of low PA.

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External Sources

  1. DOI: 10.1158/1055-9965.EPI-19-1513
  2. WOS: 000566858500014

Library Notes

  1. Fiscal Year: FY2019-2020
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