Literature DB >> 28974361

Comparing the diagnostic ability of inflammatory markers in metabolic syndrome.

Ge Meng1, Qi Zhu1, Junwei Shao1, Qing Zhang2, Li Liu2, Hongmei Wu1, Yang Xia1, Xue Bao1, Yeqing Gu1, Honglei Wang1, Hongbin Shi2, Shaomei Sun2, Xing Wang2, Ming Zhou2, Qiyu Jia2, Guolin Wang2, Kun Song2, Yuntang Wu1, Kaijun Niu3.   

Abstract

BACKGROUND: Chronic low-grade inflammation contributes to the pathogenesis of the metabolic syndrome (MetS). Although some studies have demonstrated that several standard inflammatory markers provide diagnostic value for MetS, few studies have compared the diagnostic ability of various inflammatory markers. We demonstrated the diagnostic ability of several inflammatory markers in detecting MetS.
METHODS: Complement component 3 (C3), C4, high-sensitivity C-reactive protein (hs-CRP), leukocyte count, neutrophil, lymphocyte and neutrophil-to-lymphocyte ratio (NLR) concentrations were measured in 6312 participants living in Tianjin, China. MetS was defined according to American Heart Association criteria. Adjusted logistic models were used to assess associations between inflammatory markers and MetS. Receiver operating characteristic (ROC) curves were performed to determine the diagnostic values of inflammatory markers for MetS.
RESULTS: The adjusted odds ratio (95% CI) of MetS for the highest inflammatory markers (C3, leukocyte, neutrophil, lymphocyte) quintile, when compared to the lowest quintile were 2.68 (2.12-3.38), 2.53 (2.05-3.11), 1.31 (1.06-1.62) and 1.94 (1.60-2.37), respectively. ROC analysis showed that the optimal cut-off values were 101.0mg/dl for C3 (Area under the ROC curve (AUC)=0.68), 5.41×1000cells/mm3 for leukocyte (AUC=0.63), 3.20×1000cells/mm3 for neutrophil (AUC=0.60) and 1.82×1000cells/mm3 for lymphocyte (AUC=0.62). No significant association was observed between the other inflammatory markers and MetS.
CONCLUSIONS: Among the inflammatory markers assessed in this population, C3 has the strongest diagnostic value in detecting MetS. Further studies are encouraged to determine the efficacy of applying C3 to diagnosis and treatment in the clinical setting.
Copyright © 2017. Published by Elsevier B.V.

Entities:  

Keywords:  Epidemiology; Inflammatory markers; Metabolic syndrome

Mesh:

Substances:

Year:  2017        PMID: 28974361     DOI: 10.1016/j.cca.2017.09.023

Source DB:  PubMed          Journal:  Clin Chim Acta        ISSN: 0009-8981            Impact factor:   3.786


  8 in total

1.  Complement C3 and C4, but not their regulators or activated products, are associated with incident metabolic syndrome: the CODAM study.

Authors:  Ying Xin; Elisabeth Hertle; Carla J H van der Kallen; Casper G Schalkwijk; Coen D A Stehouwer; Marleen M J van Greevenbroek
Journal:  Endocrine       Date:  2018-08-21       Impact factor: 3.633

2.  Presence of Metabolic Syndrome and Thyroid Nodules in Subjects with Colorectal Polyps.

Authors:  Yue Yu; Jiansheng Wu
Journal:  Med Sci Monit       Date:  2021-02-01

3.  Association Between Body Mass Index and Thyroid Function in Euthyroid Chinese Adults.

Authors:  Jing Fu; Lin Zhang; Yu An; Yan Duan; Jia Liu; Guang Wang
Journal:  Med Sci Monit       Date:  2021-03-19

4.  Comparison of the triglyceride glucose index and blood leukocyte indices as predictors of metabolic syndrome in healthy Chinese population.

Authors:  Hai-Yan Lin; Xiu-Juan Zhang; Yu-Mei Liu; Ling-Yun Geng; Li-Ying Guan; Xiao-Hong Li
Journal:  Sci Rep       Date:  2021-05-11       Impact factor: 4.379

5.  Neutrophil-to-lymphocyte ratio, obesity, and breast cancer risk in Chinese population.

Authors:  Qiong Fang; Yi-Wei Tong; Gen Wang; Nan Zhang; Wei-Guo Chen; Ya-Fen Li; Kun-Wei Shen; Bei-Wen Wu; Xiao-Song Chen
Journal:  Medicine (Baltimore)       Date:  2018-07       Impact factor: 1.889

6.  A Mechanism Exploration of Metabolic Syndrome Causing Nodular Thyroid Disease.

Authors:  Zexin Li; Lili Zhang; Yingshi Huang; Peixuan Yang; Wencan Xu
Journal:  Int J Endocrinol       Date:  2019-11-26       Impact factor: 3.257

7.  Neutrophil-to-lymphocyte ratio as a predictive marker of metabolic syndrome.

Authors:  Chuan-Chuan Liu; Hung-Ju Ko; Wan-Shan Liu; Chung-Lieh Hung; Kuang-Chun Hu; Lo-Yip Yu; Shou-Chuan Shih
Journal:  Medicine (Baltimore)       Date:  2019-10       Impact factor: 1.817

8.  Serum uric acid level is correlated with the clinical, pathological progression and prognosis of IgA nephropathy: an observational retrospective pilot-study.

Authors:  Pingfan Lu; Xiaoqing Li; Na Zhu; Yuanjun Deng; Yang Cai; Tianjing Zhang; Lele Liu; Xueping Lin; Yiyan Guo; Min Han
Journal:  PeerJ       Date:  2020-11-03       Impact factor: 2.984

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.