Elevated serum complement C3 levels are related to the development of prediabetes in an adult population: the Tianjin Chronic Low-Grade Systematic Inflammation and Health Cohort Study

2015 ◽  
Vol 33 (4) ◽  
pp. 446-453 ◽  
Author(s):  
X. Bao ◽  
Y. Xia ◽  
Q. Zhang ◽  
H. M. Wu ◽  
H. M. Du ◽  
...  
2019 ◽  
Author(s):  
Hongmei Wu ◽  
Mingyue Liu ◽  
Qing Zhang ◽  
Li Liu ◽  
Ge Meng ◽  
...  

Abstract Background although handgrip strength (HGS) is considered an excellent predictor of morbidity and mortality, there are few reference data available, especially across life from young to old populations. Objective to investigate the reference values and determinants for HGS in a large Chinese adult population. Design this cross-sectional study used data from the Tianjin Chronic Low-Grade Systemic Inflammation and Health Cohort Study ranging from 2013 to 2017. Setting and subjects in total, 37,707 Chinese adults aged 18–93 years with measures of HGS were included. Methods HGS was measured using a handheld digital dynamometer. The percentile distribution of HGS, as well as mean (standard deviation) values of HGS, was calculated according to sex and age categories. The Pearson’s or Spearman’s correlation coefficient and multiple linear regression were also used. Results the peak mean value of HGS was 45.2 ± 6.88 kg in men and 26.8 ± 4.65 kg in women. Different reference values for each sex and age category are present. The prevalence of low HGS was 7.69% in men and 6.46% in women. Multiple regression analysis showed that almost 72.5% of HGS variability can be explained by sex, age, height and weight. Conclusions the HGS reached peak at 40 years old, maintained or slightly lowered between ages 40 and50 and then start an accelerated decline after 50 years old. Reference values of HGS should be stratified by sex and age group. HGS variability can be largely explained by sex, age, height and weight.


2017 ◽  
Vol 39 (1) ◽  
pp. 42-49 ◽  
Author(s):  
Xue Bao ◽  
Ge Meng ◽  
Qing Zhang ◽  
Li Liu ◽  
Hongmei Wu ◽  
...  

2015 ◽  
Vol 173 (2) ◽  
pp. 217-225 ◽  
Author(s):  
Xiaoyan Guo ◽  
Shu Zhang ◽  
Qing Zhang ◽  
Li Liu ◽  
Hongmei Wu ◽  
...  

AimIt is widely known that inflammation is related to type 2 diabetes (T2D), but few studies have shown a direct relationship between the immune system and T2D using a reliable biomarker. Neutrophil:lymphocyte ratio (NLR) is an easy-to-analyze inflammation biomarker, but few studies have assessed the relationship between NLR and T2D. In order to evaluate how NLR is related to T2D, we designed a large-scale cross-sectional and prospective cohort study in an adult population.Subjects and methodsParticipants were recruited from the Tianjin Medical University General Hospital-Health Management Centre. Both a baseline cross-sectional (n=87 686) and a prospective (n=38 074) assessment were performed. Participants without a history of T2D were followed up for ∼6 years (with a median follow-up of 2.7 years). Adjusted logistic and Cox proportional hazards regression models were used to assess relationships between the quintiles of NLR and T2D (covariates: age, sex, BMI, smoking status, drinking status, hypertension, hyperlipidemia, and family history of cardiovascular disease, hypertension, hyperlipidemia, or diabetes).ResultsThe prevalence and incidence of T2D were 4.9% and 6.8/1000 person-years respectively. The adjusted odds ratio and hazard ratio (95% CI) of the highest NLR quintile were 1.34 (1.21, 1.49) and 1.39 (1.09, 1.78) (both P for trend <0.01) respectively as compared to the lowest quintile of NLR. Leukocyte, neutrophil, and lymphocyte counts do not significantly predict the eventual development of T2D.ConclusionThe present study demonstrates that NLR is related to the prevalence and incidence of T2D, and it suggests that NLR may be an efficient and accurate prognostic biomarker for T2D.


Stroke ◽  
2021 ◽  
Author(s):  
Pinni Yang ◽  
Zhengbao Zhu ◽  
Yuhan Zang ◽  
Xiaoqing Bu ◽  
Tian Xu ◽  
...  

Background and Purpose: Complement C3 has been implicated in inflammation and ischemia/reperfusion injury, but its impact on the prognosis of ischemic stroke remains unclear. Aim of this study was to prospectively investigate the association between serum complement C3 and adverse clinical outcomes after ischemic stroke. Methods: We measured serum complement C3 levels for 3474 patients with ischemic stroke in 26 participating hospitals and collected data of clinical outcomes at 3 months after ischemic stroke. The primary outcome was composite outcome of death and major disability (modified Rankin Scale score ≥3) at 3 months after stroke onset and secondary outcomes included major disability, death, and vascular events. Results: During 3 months of follow-up, 866 participants (25.4%) developed primary outcome. After multivariate adjustment, elevated serum complement C3 levels were associated with increased risk of primary outcome (odds ratio, 1.30 [95% CI, 1.02–1.65]; P trend =0.038) when 2 extreme tertiles were compared. Each SD increase of log-transformed complement C3 was associated with 13% (95% CI, 2%–25%) increased risk of primary outcome. Multivariable-adjusted spline regression model showed a linear relationship between serum complement C3 and the risk of primary outcome ( P linearity =0.022). Addition of serum complement C3 to conventional risk factors significantly improved the risk prediction of primary outcome (net reclassification index: 8.87%, P =0.028; integrated discrimination index: 0.19%, P =0.029). Conclusions: High serum complement C3 levels at baseline were associated with increased risks of adverse clinical outcomes at 3 months after ischemic stroke, suggesting that serum complement C3 may be a valuable prognostic biomarker for ischemic stroke.


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