Biology subjects

wang, x.

Publications and source records attributed to wang, x..

3 recordsLinked to original sources

bioRxiv2019

IL-10 Promotes Endothelial Progenitor Cell Driven Wound Neovascularization and Enhances Healing via STAT3.

Evidence from prior studies of cutaneous trauma, burns, and chronic diabetic wound repair demonstrates that endothelial progenitor cells (EPCs) contribute to de novo angiogenesis, anti-inflammatory reactions, tissue regeneration, and remodeling. We have shown that IL-10, a potent anti-inflammatory cytokine, promotes regenerative tissue repair in an adult model of dermal scar formation via the regulation of fibroblast-specific hyaluronan synthesis in a STAT3 dependent manner. While it is known that IL-10 drives EPC recruitment and neovascularization after myocardial infarction, its specific mode of action, particularly in dermal wound healing and neovascularization in both control and diabetic wounds remains to be defined. Here we show that IL-10 promotes EPC recruitment into the dermal wound microenvironment to facilitate neovascularization and wound healing of control and diabetic (db/db) wounds via vascular endothelial growth factor (VEGF) and stromal-cell derived factor 1 (SDF-1) signaling. Inducible skin-specific STAT3 knockout (KO) mice were studied to determine whether the impact of IL-10 on the neovascularization and wound healing is STAT3 dependent. We found that IL-10 treatment significantly promotes dermal wound healing with enhanced wound closure, robust granulation tissue formation and neovascularization. This was associated with elevated wound EPC counts as well as increased VEGF and high SDF-1 levels in control mice, an effect that was abrogated in STAT3 KO transgenic mice. These findings were supported in vitro, wherein IL-10-enhanced VEGF and SDF-1 synthesis in primary murine dermal fibroblasts. IL-10-conditioned fibroblast media was shown to promote sprouting and network formation in aortic ring assays. We conclude that overexpression of IL-10 in the wound-specific milieu recruits EPCs and promote neovascularization, which occurs in a STAT3-dependent manner via regulation of VEGF and SDF-1 levels. Collectively, our studies demonstrate that IL-10 increases EPC recruitment leading to enhanced neovascularization and healing of dermal wounds.

physiology↗

bioRxiv2019

An Optimally Weighted Combination Method to DetectNovel Disease Associated Genes Using Publicly Available GWAS Summary Data

Gene-based analyses offer a useful alternative and complement to the usual single nucleotide polymorphism (SNP) based analysis for genome-wide association studies (GWASs). Using appropriate weights (pre-specified or eQTL-derived) can boost statistical power, especially for detecting weak associations between a gene and a trait. Because the sparsity level or association directions of the underlying association patterns in real data are often unknown and access to individual-level data is limited, we propose an optimal weighted combination (OWC) test applicable to summary statistics from GWAS. This method includes burden tests, weighted sum of squared score (SSU), weighted sum statistic (WSS), and the score test as its special cases. We analytically prove that aggregating the variants in one gene is the same as using the weighted combination of Z-scores for each variant based on the score test method. We also numerically illustrate that our proposed test outperforms several existing comparable methods via simulation studies. Lastly, we utilize schizophrenia GWAS data and a fasting glucose GWAS meta-analysis data to demonstrate that our method outperforms the existing methods in real data analyses. Our proposed test is implemented in the R program OWC, which is freely and publicly available.

genetics↗

bioRxiv2019

A General Statistic to Test an Optimally WeightedCombination of Common and/or Rare Variants

Both genome-wide association study and next generation sequencing data analyses are widely employed in order to identify disease susceptible common and/or rare genetic variants in many large scale genetic studies. Rare variants generally have large effects though they are hard to detect due to their low frequency. Currently, many existing statistical methods for rare variants association studies employ a weighted combination scheme, which usually puts subjective weights or suboptimal weights based on some ad hoc assumptions (e.g. ignoring dependence between rare variants). In this study, we analytically derive optimal weights for both common and rare variants and propose a General and novel approach to Test association between an Optimally Weighted combination of variants (G-TOW) in a gene or pathway for a continuous or dichotomous trait while easily adjusting for covariates. We conduct extensive simulation studies to evaluate the performance of G-TOW. Results of the simulation studies show that G-TOW has properly controlled type I error rates and it is the most powerful test among the methods we compared, when testing effects of either both rare and common variants or rare variants only. We also illustrate the effectiveness of G-TOW using the Genetic Analysis Workshop 17 (GAW17) data. In addition, we applied G-TOW and other competitive methods to test association for schizophrenia. The G-TOW have successfully verified genes FYN and VPS39 which are associated with schizophrenia reported in existing publications. Both of these genes are missed by the weighted sum statistic (WSS) and the sequence kernel association test (SKAT). G-TOW also showed much stronger significance (p-value=0.0037) than our previously developed method named Testing the effect of an Optimally Weighted combination of variants (TOW) (p-value=0.0143) on gene FYN. FYN is a member of the protein-tyrosine kinase oncogene family that phosphorylates glutamate metabotropic receptors and ionotropic N-methyl-d-aspartate (NMDA) receptors. NMDA modulates trafficking, subcellular distribution and function. It is involved in neuronal apoptosis, brain development and synaptic transmission and lower expression, which has been observed in the platelets of schizophrenic patients compared with controls. The application for schizophrenia indicates that G-TOW is a powerful tool in genome-wide association studies.

genetics↗