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• Respiratory sensor based on two segments of plastic optical fibers and a clamp based on the 3D printing technology is proposed. • The experiment demonstrates the scheme's capability to detect a broad range of stable respiratory frequencies and weak signals. • An automatic multi-scale peak detection algorithm is utilized to achieve real-time display of transient respiratory rate, which enables the timely feedback of apnea and abnormal signals. A respiratory signal sensing scheme based on plastic optical fiber and smartphone is proposed. Respiratory signals are achieved by detecting the changes in abdominal circumference caused by the inhalation and exhalation of air from the lungs during breathing. A flexible clamp is prepared based on the 3D printing technology and the changes in abdominal circumference are leading to the lateral distance variation between the end face of the two plastic optical fibers in the clamp. The experiment demonstrates the scheme's capability to detect a broad range of stable respiratory frequencies and weak signals. Finally, an automatic multi-scale peak detection algorithm is utilized to achieve real-time display of transient respiratory rate, which enables the timely feedback of apnea and abnormal signals. The proposed respiratory sensing system provides an efficient, accurate, convenient and low-cost solution for human physiological signal monitoring. [ABSTRACT FROM AUTHOR]

Abstract: Increasing evidence suggests that interleukin 10 (IL 10) gene -1082 A/G (rsl800896) polymorphism may be associated with an increased risk of type 2 diabetes mellitus (T2DM). However, the results are inconsistent. The aim of this study is to analyze the association between this variant and the T2DM risk by meta-analysis. PubMed, Embase, Web of Science, and Google Scholar were searched from January 1, 1989 to February 17, 2012, as well as hand searching of the references of identified articles were performed. All the statistical tests were performed using Stata 11.0. Seven case–control studies were identified, covering a total of 1879 T2DM cases and 2371 controls. The results showed evidence of significant association between IL 10 gene -1082 A/G polymorphism and T2DM risk (for G/G+G/A vs. A/A: OR=1.21, 95% CI=1.05–1.40, p =0.010, p =0.040 after Bonferroni testing). In the subgroup analysis by ethnicity, no significant association was found between IL 10 gene -1082 A/G polymorphism and T2DM risk in Europeans. In summary, results from this meta-analysis provide evidence that IL 10 gene -1082 G allele is associated with increased risk of T2DM. [Copyright &y& Elsevier]

Abstract: Background: Epidemiologic studies have evaluated the association between tumor necrosis factor-alpha (TNF-α) gene -308A/G polymorphism and the risk of acute pancreatitis (AP), but the results are inconsistent. In order to derive a more precise estimation of the associations, a meta-analysis was performed. Materials and methods: Systematic searches of electronic databases PubMed, Embase, and Web of Science, as well as hand searching of the references of identified articles, were performed. All case-control studies investigating the association between TNF-α gene -308A/G polymorphism and AP risk were included. The association was assessed by odds ratio (OR) with 95% confidence intervals (CIs). Publication bias was analyzed by Begg''s funnel plot and Egger''s regression test. Results: The initial search revealed 818 potentially eligible studies. Having read the title, abstract, or full text, we included six relevant studies in the final meta-analysis, which contained 1,006 AP cases and 782 controls. Overall, no significant association was found between TNF-α gene -308A/G polymorphism and AP risk when all studies were pooled into the meta-analysis (for A/A+A/G versus G/G: OR = 1.03, 95% CI = 0.83-1.28, P = 0.79; for A/A versus A/G+G/G: OR = 0.97, 95% CI = 0.65-1.45, P = 0.87; for A/A versus G/G: OR = 1.23, 95% CI = 0.79-1.91, P = 0.37; for A allele versus G allele: OR = 0.99, 95% CI = 0.83-1.18, P = 0.90). In addition, the similar results were obtained in the subgroup analysis based on the ethnicity and subtype of AP. Conclusions: The present meta-analysis reveals that the TNF-α gene -308A/G polymorphism is not associated with AP risk. However, due to the small number of subjects included in analysis and the selection bias in some studies, the results should be interpreted with caution. [Copyright &y& Elsevier]