Distribution of Microbiota in Fine Particulate Matter Particles in Guangzhou, China.

OBJECTIVE: High PM 2.5 concentration is the main feature of increasing haze in developing states, but information on its microbial composition remains very limited. This study aimed to determine the composition of microbiota in PM 2.5 in Guangzhou, a city located in the tropics in China. METHODS: In Guangzhou, from March 5 th to 10 th, 2016, PM 2.5 was collected in middle volume air samplers for 23 h daily. The 16S rDNA V4 region of the PM 2.5 sample extracted DNA was investigated using high-throughput sequence. RESULTS: Among the Guangzhou samples, Proteobacteria, Bacteroidetes, Firmicutes, Cyanobacteria, and Actinobacteria were the dominant microbiota accounting for more than 90% of the total microbiota, and Stenotrophomonas was the dominant gram-negative bacteria, accounting for 21.30%-23.57%. We examined the difference in bacterial distribution of PM 2.5 between Beijing and Guangzhou at the genus level; Stenotrophomonas was found in both studies, but Escherichia was only detected in Guangzhou. CONCLUSION: In conclusion, the diversity and specificity of microbial components in Guangzhou PM 2.5 were studied, which may provide a basis for future pathogenicity research in the tropics.

Association Between SLC30A8 rs13266634 Polymorphism and Risk of T2DM and IGR in Chinese Population: A Systematic Review and Meta-Analysis.

Introduction: Published data regarding the association between solute carrier family 30, member 8 (SLC30A8) rs13266634 polymorphism and type 2 diabetes mellitus (T2DM) and impaired glucose regulation (IGR) risks in Chinese population are in-consistent. The purpose of this meta-analysis was to evaluate the association between SLC30A8 rs13266634 and T2DM/IGR in a Chinese population. Material and Methods: Three English (PubMed, Embase, and Web of Science) and three Chinese databases (Wanfang, CNKI, and CBMD database) were used for searching articles from January 2005 to January 2018. Odds ratio (OR) and 95% confidence interval (95%CI) were calculated with the random-effect model. Trial sequential analysis was also utilized. Results: Twenty-eight case-control studies with 25,912 cases and 26,975 controls were included for SLC30A8 and T2DM. Pooled risk allele C frequency for rs13266634 was 60.6% (95%CI: 59.2-62.0%) in the T2DM group and 54.8% (95%CI: 53.2-56.4%) in the control group which had estimated OR of 1.23 (95%CI: 1.17-1.28). Individuals who carried major homozygous CC and heterozygous CT genotype were at 1.51 and 1.23 times higher risk of T2DM, respectively, than those carrying minor homozygous TT. The most appropriate genetic analysis model was the co-dominant model based on comparison of OR1, OR2 and OR3. Five articles that involved 4,627 cases and 6,166 controls were included for SLC30A8 and IGR. However, no association was found between SLC30A8 rs13266634 and IGR (C vs. T, OR = 1.13, 95%CI: 0.98-1.30, p = 0.082). TSA revealed that the pooled sample sizes of T2DM exceeded the estimated required information size but not the IGR. Conclusion: The present meta-analysis demonstrated that SLC30A8 rs13266634 was a potential risk factor for T2DM, and more studies should be performed to confirm the association between rs13266634 polymorphism and IGR.