Exploration of the Shared Gene Signatures and Molecular Mechanisms Between Diabetic Foot Ulcer and Diabetic Microvascular Disease

Background: Diabetic foot ulcer (DFU) is a serious complication of diabetes caused by multiple factors. Diabetic microvascular disease has a close linkage with DFU. However, the inter-relational mechanisms between them are still unclear. This article aimed to explore the shared gene signatures and potential molecular mechanisms in DFU and diabetic microvascular disease. Methods: In the GEO database, DFU microarray datasets (GSE80178, GSE68183) and diabetic microvascular disease microarray datasets (GSE43950) were downloaded. After data standardization processing, we used R software to analyze the transcriptome sequencing data of each data set to find the differentially expressed genes (DEGs) of DFU and diabetic microvascular disease. Then obtained the overlapped DEGs in DFU and diabetic microvascular disease database by Jvenn. Finally, the shared DEGs were enriched by pathway enrichment and protein-protein interaction (PPI) analysis, and the hub gene was found by node analysis. Results: Totally, 1007 DEGs were identified in the GSE80178 dataset, 338 DEGs were identified in the GSE68183 dataset, 1154 were identified in the GSE43950 dataset, Venn diagram analyses showed that there were 14 shared DEGs in these datasets. Enrichment analysis shows that the shared DEGs were mainly associated with chronic inflammatory response, leukocyte migration, cellular transition metal ion homeostasis, vascular wound healing, collagen-containing extracellular matrix and Toll-like receptor binding. Involved pathways were mainly enriched in IL-17 signaling, glycosaminoglycan degradation, and calcium signaling. PPI analysis of these shared DEGs shows that S100A9, S100A8, CSTA, ADAP2, CD34 and FGL2 were the hub gene whose plays a pivotal role in DFU.Conclusion: Our work has identified several new DFU candidate genes that can be used as biomarkers or potential therapeutic targets

Re-evaluation of single nucleotide variants and identification of structural variants in a cohort of 45 sudden unexplained death cases

Sudden unexplained death (SUD) takes up a considerable part in overall sudden death cases, especially in adolescents and young adults. During the past decade, many channelopathy- and cardiomyopathy-associated single nucleotide variants (SNVs) have been identified in SUD studies by means of postmortem molecular autopsy, yet the number of cases that remain inconclusive is still high. Recent studies had suggested that structural variants (SVs) might play an important role in SUD, but there is no consensus on the impact of SVs on inherited cardiac diseases. In this study, we searched for potentially pathogenic SVs in 244 genes associated with cardiac diseases. Whole-exome sequencing and appropriate data analysis were performed in 45 SUD cases. Re-analysis of the exome data according to the current ACMG guidelines identified 14 pathogenic or likely pathogenic variants in 10 (22.2%) out of the 45 SUD cases, whereof 2 (4.4%) individuals had variants with likely functional effects in the channelopathy-associated genes SCN5A and TRDN and 1 (2.2%) individual in the cardiomyopathy-associated gene DTNA. In addition, 18 structural variants (SVs) were identified in 15 out of the 45 individuals. Two SVs with likely functional impairment were found in the coding regions of PDSS2 and TRPM4 in 2 SUD cases (4.4%). Both were identified as heterozygous deletions, which were confirmed by multiplex ligation-dependent probe amplification. In conclusion, our findings support that SVs could contribute to the pathology of the sudden death event in some of the cases and therefore should be investigated on a routine basis in suspected SUD cases

Registration-Free Hybrid Learning Empowers Simple Multimodal Imaging System for High-quality Fusion Detection

Multimodal fusion detection always places high demands on the imaging system and image pre-processing, while either a high-quality pre-registration system or image registration processing is costly. Unfortunately, the existing fusion methods are designed for registered source images, and the fusion of inhomogeneous features, which denotes a pair of features at the same spatial location that expresses different semantic information, cannot achieve satisfactory performance via these methods. As a result, we propose IA-VFDnet, a CNN-Transformer hybrid learning framework with a unified high-quality multimodal feature matching module (AKM) and a fusion module (WDAF), in which AKM and DWDAF work in synergy to perform high-quality infrared-aware visible fusion detection, which can be applied to smoke and wildfire detection. Furthermore, experiments on the M3FD dataset validate the superiority of the proposed method, with IA-VFDnet achieving the best detection performance than other state-of-the-art methods under conventional registered conditions. In addition, the first unregistered multimodal smoke and wildfire detection benchmark is openly available in this letter

First observation of the coexistence of multiple chiral doublet bands and pseudospin doublet bands in the A ≈ 80 mass region

Two nearly degenerate positive-parity bands with the π g2 9/2 ⊗ ν g−1 9/2 configuration and three nearly degenerate negative-parity bands with the π g9/2(p3/2, f5/2) ⊗ ν g−1 9/2 configuration have been identified in 81Kr. They are interpreted as chiral doublet bands and pseudospin-chiral triplet bands, which is supported by the constrained covariant density functional theory and the multiparticle plus rotor model calculations. The present work reports two new chiral configurations π g2 9/2 ⊗ ν g−1 9/2 and π g9/2(p3/2, f5/2) ⊗ ν g−1 9/2, and the first example of pseudospin-chiral triplet bands involving the π (p3/2, f5/2) pseudospin doublet

Scoliosis Related Information on the Internet in China: Can Patients Benefit from This Information?

Background: There has been an increasing popularity of searching health related information online in recent years. Despite that considerable amount of scoliosis patients have shown interest in obtaining scoliosis information through Internet, previous studies have demonstrated poor quality of online information. However, this conclusion may vary depending on region and culture. Since China has a restricted Internet access outside of its borders, the aim of this study is to evaluate the quality of scoliosis information available online using recognized scoring systems and to analyze the Internet as a source of health information in China. Methods: A survey-based questionnaire was distributed to 280 respondents at outpatient clinics. Information on demographics and Internet use was collected. Binary logistic analysis was performed to identify possible predictors for the use of Internet. In addition, the top 60 scoliosis related websites assessed through 4 search engines were reviewed by a surgeon and the quality of online information was evaluated using DISCERN score and JAMA benchmark. Results: Use of the Internet as a source for scoliosis related information was confirmed in 87.8% of the respondents. College education, Internet access at home and urban residence were identified as potential predictors for Internet use. However, the quality of online scoliosis related information was poor with an average DISCERN score of 27.9±11.7 and may be misleading for scoliosis patients. Conclusion: The study outlines the profile of scoliosis patients who use the Internet as a source of health information. It was shown that 87.8% of the scoliosis patients in outpatient clinics have searched for scoliosis related information on Internet. Urban patients, higher education and Internet access at home were identified as potential predictors for Internet search. However, the overall quality of online scoliosis related information was poor and confusing. Physician based websites seemed to contain more reliable information