Objective To predict and preliminarily validate potential shared key genes involved in cardiac complications caused by influenza A virus(IAV)and severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)infections.Methods Differentially expressed genes(DEGs)associated with cardiac complications were obtained from the Gene Expression Omnibus(GEO)database.A hierarchical intersection strategy was applied.First,cardiac complication related DEGs were overlapped with 2 independent virus related gene sets:3 454 human genes linked to IAV infection in GeneCards and 333 human protein-coding genes interacting with SARS-CoV-2 in the Human Protein Atlas.The 2 overlap results were then intersected to yield 22 hub genes.Lasso regression,random forest(RF)and support vector machine algorithms(SVM)were employed to refine this list.Predicted genes were validated in vitro in H1N1-infected human cardiomyocyte AC16 cells and in vivo in IFITM3 knockout mice challenged with H1N1,assessing transcriptional changes.Results A total of 22 hub genes were identified through integrative bioinformatics analysis.Application of the 3 machine learning algorithms resulted in 5 common key genes:ACE2,TBK1,NUP210,PUSL1,and MEPCE.In vitro infection of AC16 cells with H1N1 revealed dynamic transcriptional changes in all 5 genes post-infection(P<0.05).In vivo experiments using H1N1-infected IFITM3 knockout mice confirmed the dynamic mRNA expression changes of these 5 genes,consistent with the in vitro results(P<0.05).Conclusion By combining multilayered bioinformatics analysis with 3 machine learning approaches,5 common key genes are identified:ACE2,TBK1,NUP210,PUSL1 and MEPCE.Validation in H1N1 infection models confirms their relevance to IAV-induced cardiac complications.

This study delves into the pivotal factors influencing the consensus process within traditional Chinese medicine guideline development, with the objective of augmenting the quality of this process through methodological recommendations aimed at elevating standardization.

Objective:To explore the role of small molecule glycoprotein Serglycin (SRGN) in chemotherapy resistance of non-small cell lung cancer (NSCLC).Methods:In NSCLC H1299 cell line, shRNA technology was used to interfere with the expression of SRGN and establish stable interfering cell line. Western blot and real time fluorescence quantitative polymerase chain reaction (qRT-PCR) were used to verify the knockdown efficiency; MTS was used to detect the knockdown cell line′s drug sensitivity to cDDP and Oxaliplatin; enzyme linked immunosorbent assay (ELISA), Western blot and qRT-PCR were used to explore the effect of transforming growth factor β (TGFβ) on SRGN and vice versa; Western blot was used to detect the effect of SRGN on epithelial-mesenchymal transition (EMT) related molecules, and online data bioinformatics was used to analyze the correlation between SRGN and EMT related molecules expression; in addition, online prognostic analysis software (kmplot) was used to analyze the correlation between SRGN, TGFβ and prognosis of lung cancer patients.Results:Comparing with the control group, the test group, knocking down SRGN can obviously improve the drug sensitivity of NSCLC cell to cDDP ( P=0.032 7) or Oxaliplatin ( P=0.014 2). TGFβ can enhance the experission of SRGN in NSCLC and SRGN also can help TGFβ secreted from cells. SRGN promotes the epithelial mesenchyme transition by modulating Snail1. By analyzing TCGA database, we found that the expression of SRGN was negatively correlated with the expression of CDH1 (coding for Ecadherin protein) ( r=-0.25) and there was a positive correlation with Snai1 expression ( r=0.37). These results suggest that SRGN can promote the change of EMT in lung cancer cells through TGF β 1 and snail 1. The overall survival time of NSCLC patients with low expression of SRGN was much longer than the patients with high expression of SRGN ( P=0.007 7). The overall survival time of NSCLC patient with low expression in both SRGN and TGFβ1 or TGFβ2 was 73months or 42.8 months longer than that with high expression in both SRGN and TGFβ1/2. Conclusions:Intercting with TGFβ1, SRGN promotes EMT of NSCLC cells, which facilitates the chemoresistence of NSCLC. The simultaneous low expression of SRGN and TGFβ1 or TGFβ2 can significantly prolong the overall survival of patients with NSCLC.

Objective To investigate the developmental feasibility of early human fetal testes (<3 months) using xenografting technique and to acquire an accessible donor derivation that is essential for studying human germ cell development. Methods Nine testes from 10-13 weeks aborted fetus were grafted under the back skin of 6 castrated nude mice. Grafts were collected at different time point according to the growth of the donor tissues and the health condition of the recipients. Morphological and histological analyses were performed for the observation of the development of grafted immature testicular tissues. Results The mass of grafts was increased from about 5-7mg to 84.1mg (the biggest). Six of 9 testes were to be in developing. Histological observations showed a significant expansion of seminiferous tubules from (44.26±3.14)μm to (77.69±7.47)μm. Cells dispersedly distributed in seminiferous cords at the time of grafting migrated towards the basal part of seminiferous epithelium. Some germ cells with spermatogonium-like characteristics located on the basement membrane. Sertoli cells were in stages from immature into matured with abundant cytoplasm which were orderly arranged around spermatogonia forming a niche-like structure. Conclusion Testes from early aborted human fetus grafted under the back skin of castrated nude mice showed further development and therefore could be used as an easier accessible donor tissues for the investigation of human spermatogenetic mechanism.