Yao H, Hou C, Liu W, et al. - Researchers examined the link of multiple serum biomarkers and the risk of cardiovascular disease (CVD) in this case-control study. They also assessed the dose-association between a single serum metabolite and CVD. Participants were 161 CVD and 160 non-CVD patients who underwent a physical examination in the same hospital. Using radioimmunoassay, thyroxine levels including thyroid-stimulating hormone, T3, T4, FT3 and FT4 were recorded. In a single serum biomarker model, positive correlation of serum FT4, T4. glucose (GLU), creatinine, triglycerides (TG) and low-density lipoprotein cholesterol (LDL-c) with CVD was evident. Experts employed elastic regression choosing 5 serum biomarkers (GLU, FT4, TG, high-density lipoprotein cholesterol, LDL-c) which were independently related to CVD incident and constructed a multi-biomarker model. A much higher sensitivity for the prediction of CVD was displayed by the multi-biomarker model when compared with a single biomarker model. In both the models, a positive association of serum FT4, TG and LDL-c with CVD risk was observed. In addition, serum TG and LDL-c showed linearity association with CVD.