Sevoflurane with Low Concentration Decrease DNA Methylation on Chronic Obstructive Pulmonary Disease (COPD)-Related Gene Promoter in COPD Rat.

Chronic obstructive pulmonary disease (COPD) is a difficult-to-cure disease that mainly affects the respiratory system. Inhaled anesthetic drug such as sevoflurane plays a controversial role in COPD by different concentration, but the underlying epigenetic mechanism remains unclear. Here, we prepared lipopolysaccharide (LPS)-induced COPD rat model, and isolated Alveolar type II (ATII) cells. We mainly focused DNA methylation on the promoter of COPD-related genes including Sftpa1, Napsa, Ca2, Sfta2, Lamp3, Wif1, Pgc, and Etv5. We observed COPD rat treated by sevoflurane with low (0.5%) and high (2%) concentrations displayed an opposite DNA methylation pattern. These six genes' promoter were all hypomethylated by 0.5% sevoflurane whereas hypermethylated by 2% sevoflurane, accompanied with the opposite transcriptional activity. We further verified that the DNMT1 binding ability contributed to DNA methylation these six genes' promoter. Moreover, we also captured DNMT1 and identified REC8 meiotic recombination protein (REC8) as the specific binding protein only existed in ATII cells treated with 0.5% sevoflurane rather than 2% and control. The binding ability of REC8 on these target genes' promoter showed highly positive correlation with DNMT1. In summary, we uncovered a potential epigenetic role of sevoflurane with low concentration in ATII cells of COPD that may help us deeply understand the pathogenesis and treatment mechanism of inhaled anesthesia drugs in COPD via a dose-dependent manner.

Association Between TNF-α -308G/A Polymorphism and Risk of Immune Thrombocytopenia: A Meta-Analysis.

OBJECTIVE: Previous studies have investigated the association between tumor necrosis factor-alpha (TNF-α) -308G/A polymorphism and risk of immune thrombocytopenia (ITP), but the reported results have been inconsistent. Thus, a systematic meta-analysis was performed to resolve this discrepancy. METHODS: Electronic databases and the cited references of the obtained published articles were manually searched. Quality assessment of each study was conducted using the Newcastle-Ottawa Scale (NOS). All case-control studies were used to assess the strength of the association. Statistical analysis was performed using Stata version 12.0. RESULTS: Eight high-quality studies, including 947 patients and 1911 controls, were selected for the final meta-analysis. There was no significant association between TNF-α -308G/A polymorphism and ITP in overall and Asian populations. However, a significant positive association was observed between them in the dominant genetic model (AA+AG versus GG) in the Caucasian population (OR = 1.35, 95% confidence interval [CI]: 1.07-1.71, PH = 0.173). CONCLUSIONS: Our finding suggested that TNF-α -308G/A might be involved in development of ITP in the Caucasian population, but not in the Asian population. Among Caucasians the A allele (AA+AG) was associated with ITP. However, larger-scale studies are required to confirm our findings.

A Pooling Genome-Wide Association Study Combining a Pathway Analysis for Typical Sporadic Parkinson's Disease in the Han Population of Chinese Mainland.

Genome-wide association studies (GWAS) on sporadic Parkinson's disease (sPD) are mainly conducted in European and American populations at present, and the Han populations of Chinese mainland (HPCM) almost have not been studied yet. Here, we conducted a pooling GWAS combining a pathway analysis with 862,198 autosomal single nucleotide polymorphisms of IlluminaHumanOmniZhongHua-8 in 250 sPD and 250 controls from HPCM precluded toxicant exposure, age, and heavy coffee drinking habit interference. We revealed that among the 22 potential loci implicated, PRDM2/KIAA1026 (kgp8090149), TSG1/MANEA (kgp154172), PDE10A (kgp8130520), MDGA2 (rs9323124), ATPBD4/LOC100288892 (kgp11333367), ZFP64/TSHZ2 (kgp4156164), PAQR3/ARD1B (kgp9482779), FLJ23172/FNDC3B (kgp760898), C18orf1 (kgp348599), FLJ43860/NCRNA00051 (kgp4105983), CYP1B1/C2orf58 (kgp11353523), WNT9A/LOC728728 (rs849898), ANXA1/LOC100130911 (rs10746953), FLJ35379/LOC100132423 (kgp9550589), PLEKHN1 (kgp7172368), DMRT2/SMARCA2 (kgp10769919), ZNF396/INO80C (rs1362858), C3orf67/LOC339902 (rs6783485), LOC285194/IGSF11 (rs1879553), FGF10/MRPS30 (rs13153459), BARX1/PTPDC1 (kgp6542803), and COL5 A2 (rs11186), the peak significance was at the kgp4105983 of FLJ43860 gene in chromosome 8, the first top strongest associated locus with sPD was PRDM2 (kgp8090149) in chromosome 1, and the 24 pathways including 100 significantly associated genes were strongly associated with sPD from HPCM. The 40 genes were shared by at least two pathways. The most possible associated pathways with sPD were axon guidance, ECM-receptor interaction, neuroactive ligand-receptor interaction, tight junction, focal adhesion, gap junction, long-term depression, drug metabolism-cytochrome P450, adherens junction, endocytosis, and protein digestion and absorption. Our results indicated that these loci, pathways, and their related genes might be involved in the pathogenesis of sPD from HPCM and provided some novel evidences for further searching the genetic pathogenesis of sPD.

The Potential Mutation of GAK Gene in the Typical Sporadic Parkinson's Disease from the Han Population of Chinese Mainland.

The genetic factors about the pathogenesis of sporadic Parkinson's disease (sPD) is not completely clear at present; therefore, we performed a genome-wide association study, high-throughput sequencing analysis (HTPSA) of all cyclin G-associated kinase (GAK) exons, loss-of-function assessment, and sorting intolerant from tolerant analysis of HTPSA data in 250 typical sPD and 250 controls, which found 55 candidate single nucleotide polymorphisms (SNPs). To further explore these SNPs, we sequenced the 30 most strongly associated SNPs in the 460 typical sPD cases and the 525 controls. All subjects were from the Han population of Chinese mainland and excluded the toxic exposure, the heavy coffee drinking, and the early- and late-onset sPD. The minor allele frequencies (MAFs) at c.3824T>G, c.3794T>C, and c.3819G>A were higher in the control. The TG of c.3824T>G, the TC of c.3794T>C, and the AG of c.3819G>A were associated with the decreased risk of sPD. The subjects carrying the minor C allele of c.3794T>C or the minor A allele of c.3819G>A exhibited a decreased risk of sPD. c.3824T>G negatively affected the binding affinity of heat shock protein 70 (HSP70). c.3794T>C increased the surface area exposed to substrates. c.3819G>A most likely reduced the expression level of GAK. Our data suggest that the multiple SNPs of GAK synergistically participate in the pathogenesis of sPD through multiple pathways.

Identification of serum microRNAs as diagnostic and prognostic biomarkers for acute pancreatitis.

BACKGROUND/OBJECTIVES: To identify serum microRNA (miRNA) as diagnostic and prognostic biomarkers for acute pancreatitis (AP). MATERIALS AND METHODS: Sera microRNA expression was profiled from 12 AP patients with varying disease severity and three healthy controls. Differentially expressed miRNAs were validated in a larger cohort of patients and controls. The diagnostic and prognostic potentials of differentially expressed miRNAs were evaluated using receiver operating characteristic (ROC) curve analysis and compared to that of classic prognostic markers for AP. RESULTS: miRNA microarray analyses identified 205 differentially expressed miRNAs between sera from AP patients and that from controls. Nine miRNAs were differentially expressed between severe and mild AP patients. Further validation confirmed the down-regulation of miR-92b, miR-10a, and miR-7 in AP patients, and ROC analysis revealed that these miRNAs can differentiate AP from health cases. Furthermore, the serum miR-551b-5p level was significantly higher in patients with disease complications or a low plasma calcium level. ROC analysis showed that the serum miR-551b-5p level can distinguish between severe and mild AP. CONCLUSION: The expressions of miR-92b, miR-10a, and miR-7 in AP might be used for the early diagnosis of AP and miR-551b-5p may be used for predicting AP severity.