ObjectiveGenome-wide association studies have shown that variance in the fat mass- and obesity- associated gene (FTO) is associated with risk of obesity in Europeans and Asians. Since obesity is associated with an increased risk of cardiovascular disease (CVD), several studies have investigated the association between variant in the FTO gene and CVD risk, with inconsistent results. In this study, we performed a meta-analysis to clarify the association of rs9939609 variant (or its proxies [r 2>0.90]) in the FTO gene with CVD risk.MethodsPublished literature from PubMed and Embase was retrieved. Pooled odds ratios with 95% confidence intervals were calculated using the fixed- or random- effects model.ResultsA total of 10 studies (comprising 19,153 CVD cases and 103,720 controls) were included in the meta-analysis. The results indicated that the rs9939609 variant was significantly associated with CVD risk (odds ratio = 1.18, 95% confidence interval = 1.07–1.30, p = 0.001 [Z test], I 2 = 80.6%, p<0.001 [heterogeneity]), and there was an insignificant change after adjustment for body mass index (BMI) and other conventional CVD risk factors (odds ratio = 1.16, 95% confidence interval = 1.05–1.27, p = 0.003 [Z test], I 2 = 75.4%, p<0.001 [heterogeneity]).ConclusionsThe present meta-analysis confirmed the significant association of the rs9939609 variant in the FTO gene with CVD risk, which was independent of BMI and other conventional CVD risk factors.

Background: Definitive early-stage diagnosis of severe acute respiratory syndrome (SARS) is important despite the number of laboratory tests that have been developed to complement clinical features and epidemiologic data in case definition. Pathologic changes in response to viral infection might be reflected in proteomic patterns in sera of SARS patients. Methods: We developed a mass spectrometric decision tree classification algorithm using surface-enhanced la-

In our previous study, we found long noncoding RNA ZEB1-AS1 is upregulated and functions as an oncogene in osteosarcoma. MiR-200 family (miR-200s) functions as tumor suppressor via directly targeting ZEB1 in various cancers. In this study, we further investigate the potential interplay between ZEB1-AS1, miR-200s, and ZEB1 in osteosarcoma. Our results showed that ZEB1-AS1 functions as a molecular sponge for miR-200s and relieves the inhibition of ZEB1 caused by miR-200s. ZEB1-AS1 and miR-200s reciprocally negatively regulate each other. MiR-200s are downregulated in osteosarcoma tissues, and negatively correlated with ZEB1-AS1 and ZEB1 expression levels in osteosarcoma. Functional experiments showed that consistent with ZEB1-AS1 depletion, miR-200s overexpression and ZEB1 depletion both inhibit osteosarcoma cell proliferation and migration. Overexpression of miR-200s partially abolished the effects of ZEB1-AS1 on osteosarcoma cell proliferation and migration. Moreover, the combination of ZEB1-AS1 depletion and miR-200s overexpression significantly inhibits osteosarcoma cell proliferation and migration. In conclusion, this study revealed a novel regulatory mechanism between ZEB1-AS1, miR-200s, and ZEB1. The interplay between ZEB1-AS1 and miR-200s contributes to osteosarcoma cell proliferation and migration, and targeting this interplay could be a promising strategy for osteosarcoma treatment. J. Cell. Biochem. 118: 2250-2260, 2017. © 2017 Wiley Periodicals, Inc.

The aim of present study is to study the serum protein fingerprint of patients with colorectal cancer (CRC) and to screen protein molecules that are closely related to colorectal cancer during the onset and progression of the disease with Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS). Serum samples from 144 patients with CRC and 120 healthy volunteers were adopted in present study. Weak cation exchange (WCX) magnetic beads and PBSII-C protein chips reader (Ciphergen Biosystems Ins.) were used. The protein fingerprint expression of all the Serum samples and the resulted profiles between cancer and normal groups were analyzed with Biomarker Wizard system. Several proteomic peaks were detected and four potential biomarkers with different expression profiles were identified with their relative molecular weights of 2870.7Da, 3084Da, 9180.5Da, and 13748.8Da, respectively. Among the four proteins, two proteins with m/z 2870.7 and 3084 were down-regulated, and the other two with m/z 9180.5 and 13748.8 were up-regulated in serum samples from CRC patients. The present diagnostic model could distinguish CRC from healthy controls with the sensitivity of 92.85% and the specificity of 91.25%. Blind test data indicated a sensitivity of 86.95% and a specificity of 85%. The result suggested that MALDI technology could be used to screen critical proteins with differential expression in the serum of CRC patients. These differentially regulated proteins were considered as potential biomarkers for the patients with CRC in the serum and of the potential value for further investigation.

Abstract. The purpose of this study was to screen serum samples from gastric carcinoma patients and to determine whether serum amyloid A protein (SAA) served as a biomarker. SELDI technology was used to screen for changes in SAA levels in the serum samples. A mass cluster with a mass/ charge (m/z) value between 11.1 and 11.9 kDa was identified in the serum samples from gastric carcinoma patients which was much higher than that of the control group. Furthermore, the increase in this m/z peak correlated with the severity of the cancer. High-performance liquid chromatography (HPLC) analysis confirmed that the peak was SAA1. In conclusion, this increase in SAA may be used as a potential biomarker for gastric cancer.