Literature DB >> 32467351

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

Sarah C Van Alsten1, Charles S Rabkin2, Norie Sawada3, Taichi Shimazu3, Hadrien Charvat3, Taiki Yamaji3, Manami Inoue3, Troy J Kemp4, Ligia A Pinto4, M Constanza Camargo2, Shoichiro Tsugane3, Minkyo Song5.   

Abstract

BACKGROUND: Metabolic syndrome (MetS) is a systemic inflammatory state. Low physical activity (PA) could modify this patho-physiology 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, 1.47-2.95), CCL19/MIP3β (2.06; 95% CI, 1.48-2.88), CXCL12/SDF1α+β (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. ©2020 American Association for Cancer Research.

Entities:  

Year:  2020        PMID: 32467351      PMCID: PMC7528457          DOI: 10.1158/1055-9965.EPI-19-1513

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  54 in total

1.  CCL19 and CCL21 induce a potent proinflammatory differentiation program in licensed dendritic cells.

Authors:  Benjamin J Marsland; Patrick Bättig; Monika Bauer; Christiane Ruedl; Ute Lässing; Roger R Beerli; Klaus Dietmeier; Lidia Ivanova; Thomas Pfister; Lorenz Vogt; Hideki Nakano; Chiara Nembrini; Philippe Saudan; Manfred Kopf; Martin F Bachmann
Journal:  Immunity       Date:  2005-04       Impact factor: 31.745

Review 2.  Inflammation and metabolic disorders.

Authors:  Gökhan S Hotamisligil
Journal:  Nature       Date:  2006-12-14       Impact factor: 49.962

Review 3.  Acute-phase proteins and other systemic responses to inflammation.

Authors:  C Gabay; I Kushner
Journal:  N Engl J Med       Date:  1999-02-11       Impact factor: 91.245

4.  Prospective study of C-reactive protein in relation to the development of diabetes and metabolic syndrome in the Mexico City Diabetes Study.

Authors:  Thang S Han; Naveed Sattar; Ken Williams; Clicerio Gonzalez-Villalpando; Michael E J Lean; Steven M Haffner
Journal:  Diabetes Care       Date:  2002-11       Impact factor: 19.112

5.  MCP-1 contributes to macrophage infiltration into adipose tissue, insulin resistance, and hepatic steatosis in obesity.

Authors:  Hajime Kanda; Sanshiro Tateya; Yoshikazu Tamori; Ko Kotani; Ken-ichi Hiasa; Riko Kitazawa; Sohei Kitazawa; Hitoshi Miyachi; Sakan Maeda; Kensuke Egashira; Masato Kasuga
Journal:  J Clin Invest       Date:  2006-05-11       Impact factor: 14.808

6.  Circulating Inflammation Markers and Risk of Gastric and Esophageal Cancers: A Case-Cohort Study Within the Japan Public Health Center-Based Prospective Study.

Authors:  M Constanza Camargo; Minkyo Song; Taichi Shimazu; Hadrien Charvat; Taiki Yamaji; Norie Sawada; Troy J Kemp; Ruth M Pfeiffer; Allan Hildesheim; Ligia A Pinto; Shoichiro Tsugane; Charles S Rabkin
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2019-03-15       Impact factor: 4.254

7.  Association between leisure time physical activity and metabolic syndrome: a meta-analysis of prospective cohort studies.

Authors:  Dan He; Bo Xi; Jian Xue; Pengcheng Huai; Min Zhang; Jun Li
Journal:  Endocrine       Date:  2013-11-28       Impact factor: 3.633

8.  The metabolic syndrome and C-reactive protein, fibrinogen, and leukocyte count: findings from the Third National Health and Nutrition Examination Survey.

Authors:  Earl S Ford
Journal:  Atherosclerosis       Date:  2003-06       Impact factor: 5.162

9.  Nonexercise physical activity and inflammatory and oxidative stress markers in women.

Authors:  Sheng Hui Wu; Xiao Ou Shu; Wong-Ho Chow; Yong-Bing Xiang; Xianglan Zhang; Hong-Lan Li; Qiuyin Cai; Ginger Milne; Bu-Tian Ji; Hui Cai; Nathaniel Rothman; Yu-Tang Gao; Wei Zheng; Gong Yang
Journal:  J Womens Health (Larchmt)       Date:  2013-10-29       Impact factor: 2.681

10.  Inflammation, insulin resistance, and diabetes--Mendelian randomization using CRP haplotypes points upstream.

Authors:  Eric J Brunner; Mika Kivimäki; Daniel R Witte; Debbie A Lawlor; George Davey Smith; Jackie A Cooper; Michelle Miller; Gordon D O Lowe; Ann Rumley; Juan P Casas; Tina Shah; Steve E Humphries; Aroon D Hingorani; Michael G Marmot; Nicholas J Timpson; Meena Kumari
Journal:  PLoS Med       Date:  2008-08-12       Impact factor: 11.069

View more
  2 in total

1.  Glucose Intolerance and Cancer Risk: A Community-Based Prospective Cohort Study in Shanghai, China.

Authors:  Juzhong Ke; Tao Lin; Xiaolin Liu; Kang Wu; Xiaonan Ruan; Yibo Ding; Wenbin Liu; Hua Qiu; Xiaojie Tan; Xiaonan Wang; Xi Chen; Zhitao Li; Guangwen Cao
Journal:  Front Oncol       Date:  2021-08-30       Impact factor: 6.244

2.  Proteomic profiling of low muscle and high fat mass: a machine learning approach in the KORA S4/FF4 study.

Authors:  Marie-Theres Huemer; Alina Bauer; Agnese Petrera; Markus Scholz; Stefanie M Hauck; Michael Drey; Annette Peters; Barbara Thorand
Journal:  J Cachexia Sarcopenia Muscle       Date:  2021-06-20       Impact factor: 12.910

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.