Purpose Mass spectrometry is one of the rapidly developing bio‐analytical techniques in recent years, and it shows that the results of biomarkers’ screening can be influenced by pre‐analytical process. The selection of the blood collection tubes is one of the most significant steps of pre‐analytical process which is often neglected by researchers. So, it is urgent to define the influence of blood collection tubes clearly in biomarkers’ screening. Experimental Design Two types of blood collection tubes, non‐additive tubes and coagulant activator tubes, are used to collect serum samples from patients and healthy controls. All samples are analyzed using matrix‐assisted laser desorption ionization‐time of flight mass spectrum in this study. Results The serum protein profile changes while using coagulant tubes whether for patients or healthy controls. It is found that the effect of coagulant on serum protein of patients is smaller than that of control group. There are 27 significantly different peaks between the control group and the control coagulant group. However, between patient group and patient coagulant group, only one differential peak is obtained. Coagulant changes the expression differences between patients and healthy controls, making the differences expand, shrink or reverse, and most of the polypeptides are small molecule, which will change the results of biomarker's screening. Conclusions and Clinical Relevance This research suggested that different types of blood collection tubes would influence the final laboratory results. So it's important for clinicians to choose the proper tubes to detect biomarkers and make correct diagnoses.
Background: Previous studies have found that neck circumference (NC) is associated with cardiovascular disease risk factors. This study investigated the relationship between NC and the incidence of angina pectoris (AP). Methods: Altogether 4821 participants (2212 males and 2609 females) from the Sleep Heart Health Study (SHHS) with a mean age of 63.4±11.0 years were selected in this study. Anthropometric measurements, including NC, waist circumference (WC), hip circumference (HC), and body mass index (BMI), were collected at baseline. AP was defined as the first occurrence between baseline and 2011. Linear and logistic regression analysis was used to explore the association between NC and incidences of AP. Results: There was a significant difference in NC between AP and controls in both male (41.1±3.1 cm vs 40.3±3.2 cm; p<0.001) and female (35.2±3.1 cm vs 34.9±2.9 cm; p=0.006). Multivariable linear regression analysis showed that NC (every cm increase) was independently associated with the incidence of AP in both male (odds ratio [OR] 1.067; 95% confidence interval [CI] 1.035-1.100; p<0.001) and female (OR 1.067; 95% CI 1.035-1.101; p<0.001). Conclusion: NC was significantly associated with the incidence of AP in both male and female. The role of NC in the incidence of AP is worthy of further investigation.
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