Background Severe asthma is a chronic disease contributing to disproportionate disease morbidity and mortality. From the year of 2007, many genome-wide association studies (GWAS) have documented a large number of asthma-associated genetic variants and related genes. Nevertheless, the molecular mechanism of these identified variants involved in asthma or severe asthma risk remains largely unknown. Methods In the current study, we systematically integrated 3 independent expression quantitative trait loci (eQTL) data (N = 1977) and a large-scale GWAS summary data of moderate-to-severe asthma (N = 30,810) by using the Sherlock Bayesian analysis to identify whether expression-related variants contribute risk to severe asthma. Furthermore, we performed various bioinformatics analyses, including pathway enrichment analysis, PPI network enrichment analysis, in silico permutation analysis, DEG analysis and co-expression analysis, to prioritize important genes associated with severe asthma. Results In the discovery stage, we identified 1129 significant genes associated with moderate-to-severe asthma by using the Sherlock Bayesian analysis. Two hundred twenty-eight genes were prominently replicated by using MAGMA gene-based analysis. These 228 replicated genes were enriched in 17 biological pathways including antigen processing and presentation (Corrected P = 4.30 × 10− 6), type I diabetes mellitus (Corrected P = 7.09 × 10− 5), and asthma (Corrected P = 1.72 × 10− 3). With the use of a series of bioinformatics analyses, we highlighted 11 important genes such as GNGT2, TLR6, and TTC19 as authentic risk genes associated with moderate-to-severe/severe asthma. With respect to GNGT2, there were 3 eSNPs of rs17637472 (PeQTL = 2.98 × 10− 8 and PGWAS = 3.40 × 10− 8), rs11265180 (PeQTL = 6.0 × 10− 6 and PGWAS = 1.99 × 10− 3), and rs1867087 (PeQTL = 1.0 × 10− 4 and PGWAS = 1.84 × 10− 5) identified. In addition, GNGT2 is significantly expressed in severe asthma compared with mild-moderate asthma (P = 0.045), and Gngt2 shows significantly distinct expression patterns between vehicle and various glucocorticoids (Anova P = 1.55 × 10− 6). Conclusions Our current study provides multiple lines of evidence to support that these 11 identified genes as important candidates implicated in the pathogenesis of severe asthma.

Endothelial progenitor cells (EPCs) are bone marrow-derived cells that have the propensity to differentiate into mature endothelial cells (ECs). The transplantation of EPCs has been shown to enhance in vivo postnatal neo-vasculogenesis, as well as repair infarcted myocardium. Via the whole-cell patch clamp technique, numerous types of ion channels have been detected in EPCs, including the inward rectifier potassium channel (IKir), Ca2+-activated potassium channel (IKCa), and volume-sensitive chloride channel, but their influence on the differentiation of EPCs has yet to be characterized. The present study was designed to investigate: (1) which ion channels have the most significant impact on the differentiation of EPCs; (2) what role ion channels play in the functional development of EPCs; (3) the mRNA and protein expression levels of related ion channel subunits in EPCs. In our study, EPCs were obtained from the peripheral blood of healthy adults and cultured with endothelial growth factors. When EPCs differentiate into mature ECs, they lose expression of the stem cell/progenitor marker CD133, as analyzed by flow cytometry (0.44±0.20 %). However, treatment with the potassium channel inhibitor, tetraethylammonium (TEA) results in an increase in CD133+ cells (25.50±7.55 %). In a functional experiment, we observed a reduction in the capacity of TEA treated ECs (differentiated from EPCs) to form capillary tubes when seeded in Matrigel. At the mRNA and protein levels, we revealed several K+ subtypes, including KCNN4 for IKCa, KCNNMA1 for BKCa and Kir3.4 for IKir. These results demonstrate for the first time that potassium channels play a significant role in the differentiation of EPCs. Moreover, inhibition of potassium channels may depress the differentiation of EPCs and the significant potassium channel subunits in EPCs appear to be IKCa, BKCa and Kir3.4.

Acute kidney injury (AKI) is a severe kidney disease defined by partial or abrupt loss of renal function. Emerging evidence indicates that non-coding RNAs (ncRNAs), particularly long non-coding RNAs (lncRNAs), function as essential regulators in AKI development. Here we aimed to explore the underlying molecular mechanism of the lncRNA H19/miR-130a axis for the regulation of inflammation, proliferation, and apoptosis in kidney epithelial cells. Human renal proximal tubular cells (HK-2) were induced by hypoxia/reoxygenation to replicate the AKI model in vitro. After treatment, the effects of LncRNA H19 and miR-130a on proliferation and apoptosis of HK-2 cells were investigated by CCK-8 and flow cytometry. Meanwhile, the expressions of LncRNA H19, miR-130a, and inflammatory cytokines were detected by qRT-PCR, western blot, and ELISA assays. The results showed that downregulation of LncRNA H19 could promote cell proliferation, inhibit cell apoptosis, and suppress multiple inflammatory cytokine expressions in HK-2 cells by modulating the miR-130a/BCL2L11 pathway. Taken together, our findings indicated that LncRNA H19 and miR-130a might represent novel therapeutic targets and early diagnostic biomarkers for the treatment of AKI.

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