Associations between short-term exposure of ambient particulate matter and hemodialysis patients death: A nationwide, longitudinal case-control study in China.

BACKGROUND: Long-term exposure to particulate air pollutants can lead to an increase in mortality of hemodialysis patients, but evidence of mortality risk with short-term exposure to ambient particulate matter is lacking. This study aimed to estimate the association of short-term exposure to ambient particulate matter across a wide range of concentrations with hemodialysis patients mortality. METHODS: We performed a time-stratified case-crossover study to estimate the association between short-term exposures to PM2.5 and PM10 and mortality of hemodialysis patients. The study included 18,114 hemodialysis death case from 279 hospitals in 41 cities since 2013. Daily particulate matter exposures were calculated by the inverse distance-weighted model based on each case's dialysis center address. Conditional logistic regression were implemented to quantify exposure-response associations. The sensitivity analysis mainly explored the lag effect of particulate matter. RESULTS: During the study period, there were 18,114 case days and 61,726 control days. Of all case and control days, average PM2.5 and PM10 levels were 43.98 µg/m3 and 70.86 µg/m3, respectively. Each short-term increase of 10 µg/m3 in PM2.5 and PM10 were statistically significantly associated with a relative increase of 1.07 % (95 % confidence interval [CI]: 0.99 % - 1.15 %) and 0.89 % (95 % CI: 0.84 % - 0.94 %) in daily mortality rate of hemodialysis patients, respectively. There was no evidence of a threshold in the exposure-response relationship. The mean of daily exposure on the same day of death and one-day prior (Lag 01 Day) was the most plausible exposure time window. CONCLUSIONS: This study confirms that short-term exposure to particulate matter leads to increased mortality in hemodialysis patients. Policy makers and public health practices have a clear and urgent opportunity to pass air quality control policies that care for hemodialysis populations and incorporate air quality into the daily medical management of hemodialysis patients.

Exploring the shared genes of hypertension, diabetes and hyperlipidemia based on microarray

Given their relationship with metabolic syndrome and systematic inflammatory diseases, the pathogenesis of hypertension, hyperglycemia, and hyperlipidemia is closely related. To explore the common genes among these three conditions, spontaneous hypertensive rats (SHR), spontaneous diabetic Goto-Kakizaki rats (GK) and hyperlipidemia rats (HMR) were reared for experiments. Gene array was used to identify the genes of SHR, GK and HMR compared with normal Wistar rats using TBtools software. First, real-time PCR was applied to verify these genes, and Cytoscape software was used to construct networks based on the National Center for Biotechnology Information (NCBI) database. Second, Kyoto Encyclopedia of Genes and Genomes (KEGG) database analysis was performed to classify the genes. Visualization and Integrated Discovery (DAVID) database and Gene Ontology database were used to explore the biological function. Finally, Onto-tools Pathway Express was used to analyze the pathways of shared genes. Importantly, upregulated common genes, such as Bad, Orm1, Arntl and Zbtb7a, were used to construct a network of 150 genes, while downregulated genes, such as Mif and Gpx1, formed a network of 29 genes. Interestingly, the networks were involved in various pathways, such as insulin signal pathway, endometrial cancer pathway, circadian rhythm pathway, and pancreatic cancer pathway. We discovered common genes of SHR, GK and HMR compared with normal Wistar rats, and the association of these genes together with biological function were preliminarily revealed.

Sequencing and de novo assembly of the Asian gypsy moth transcriptome using the Illumina platform

Abstract The Asian gypsy moth (Lymantria dispar) is a serious pest of forest and shade trees in many Asian and some European countries. However, there have been few studies of L. dispar genetic information and comprehensive genetic analyses of this species are needed in order to understand its genetic and metabolic sensitivities, such as the molting mechanism during larval development. In this study, high-throughput sequencing technology was used to sequence the transcriptome of the Asian subspecies of the gyspy moth, after which a comprehensive analysis of chitin metabolism was undertaken. We generated 37,750,380 high-quality reads and assembled them into contigs. A total of 37,098 unigenes were identified, of which 15,901 were annotated in the NCBI non-redundant protein database and 9,613 were annotated in the Swiss-Prot database. We mapped 4,329 unigenes onto 317 pathways using the Kyoto Encyclopedia of Genes and Genomes Pathway database. Chitin metabolism unigenes were found in the transcriptome and the data indicated that a variety of enzymes was involved in chitin catabolic and biosynthetic pathways.

Sequencing and de novo assembly of the Asian gypsy moth transcriptome using the Illumina platform.

The Asian gypsy moth (Lymantria dispar) is a serious pest of forest and shade trees in many Asian and some European countries. However, there have been few studies of L. dispar genetic information and comprehensive genetic analyses of this species are needed in order to understand its genetic and metabolic sensitivities, such as the molting mechanism during larval development. In this study, high-throughput sequencing technology was used to sequence the transcriptome of the Asian subspecies of the gyspy moth, after which a comprehensive analysis of chitin metabolism was undertaken. We generated 37,750,380 high-quality reads and assembled them into contigs. A total of 37,098 unigenes were identified, of which 15,901 were annotated in the NCBI non-redundant protein database and 9,613 were annotated in the Swiss-Prot database. We mapped 4,329 unigenes onto 317 pathways using the Kyoto Encyclopedia of Genes and Genomes Pathway database. Chitin metabolism unigenes were found in the transcriptome and the data indicated that a variety of enzymes was involved in chitin catabolic and biosynthetic pathways.