Purpose: We used bioinformatics methods and Mendelian randomization (MR) analysis to investigate the hub genes involved in acute myeloid leukemia (AML) and their causal relationship with hemolysis, to explore a new direction for molecular biology research of AML. Methods: We first differentially analyzed peripheral blood samples from 62 healthy volunteers and 65 patients with AML from the Gene Expression Omnibus database to obtain differentially expressed genes (DEGs), and intersected them with genes sourced from weighted gene co-expression network analysis (WGCNA) and the GeneCards database to obtain target genes. Target genes were screened using protein–protein interaction (PPI) network analysis and ROC curves to identify genes associated with AML. Finally, we analyzed the correlation between genes and immune cells and the relationship between toll-like receptor 4 (TLR4) and AML using MR. Results: We compared peripheral blood expression profiles using an array of 62 healthy volunteers (GSE164191) and 65 patients with AML (GSE89565) (M0:25; M1:11; M2:10; M3:1; M4:7; M4 eo t [16;16] ou inv [16]:4; M5:6; M6:1) and obtained 7,339 DEGs (3,733 upregulated and 3,606 downregulated). We intersected these DEGs with 4,724 genes from WGCNA and 1,330 genes related to hemolysis that were identified in the GeneCards database to obtain 190 target genes. After further screening these genes using the PPI network, we identified TLR4, PTPRC, FCGR3B, STAT1, and APOE, which are closely associated with hemolysis in patients with AML. Finally, we found a causal relationship between TLR4 and AML occurrence using MR analysis (p < 0.05). Conclusion We constructed a WGCNA-based co-expression network and identified hemolysis-associated AML genes.

Purpose: We used bioinformatics methods and Mendelian randomization (MR) analysis to investigate the hub genes involved in acute myeloid leukemia (AML) and their causal relationship with hemolysis, to explore a new direction for molecular biology research of AML. Methods: We first differentially analyzed peripheral blood samples from 62 healthy volunteers and 65 patients with AML from the Gene Expression Omnibus database to obtain differentially expressed genes (DEGs), and intersected them with genes sourced from weighted gene co-expression network analysis (WGCNA) and the GeneCards database to obtain target genes. Target genes were screened using protein–protein interaction (PPI) network analysis and ROC curves to identify genes associated with AML. Finally, we analyzed the correlation between genes and immune cells and the relationship between toll-like receptor 4 (TLR4) and AML using MR. Results: We compared peripheral blood expression profiles using an array of 62 healthy volunteers (GSE164191) and 65 patients with AML (GSE89565) (M0:25; M1:11; M2:10; M3:1; M4:7; M4 eo t [16;16] ou inv [16]:4; M5:6; M6:1) and obtained 7,339 DEGs (3,733 upregulated and 3,606 downregulated). We intersected these DEGs with 4,724 genes from WGCNA and 1,330 genes related to hemolysis that were identified in the GeneCards database to obtain 190 target genes. After further screening these genes using the PPI network, we identified TLR4, PTPRC, FCGR3B, STAT1, and APOE, which are closely associated with hemolysis in patients with AML. Finally, we found a causal relationship between TLR4 and AML occurrence using MR analysis (p < 0.05). Conclusion We constructed a WGCNA-based co-expression network and identified hemolysis-associated AML genes.

Purpose: We used bioinformatics methods and Mendelian randomization (MR) analysis to investigate the hub genes involved in acute myeloid leukemia (AML) and their causal relationship with hemolysis, to explore a new direction for molecular biology research of AML. Methods: We first differentially analyzed peripheral blood samples from 62 healthy volunteers and 65 patients with AML from the Gene Expression Omnibus database to obtain differentially expressed genes (DEGs), and intersected them with genes sourced from weighted gene co-expression network analysis (WGCNA) and the GeneCards database to obtain target genes. Target genes were screened using protein–protein interaction (PPI) network analysis and ROC curves to identify genes associated with AML. Finally, we analyzed the correlation between genes and immune cells and the relationship between toll-like receptor 4 (TLR4) and AML using MR. Results: We compared peripheral blood expression profiles using an array of 62 healthy volunteers (GSE164191) and 65 patients with AML (GSE89565) (M0:25; M1:11; M2:10; M3:1; M4:7; M4 eo t [16;16] ou inv [16]:4; M5:6; M6:1) and obtained 7,339 DEGs (3,733 upregulated and 3,606 downregulated). We intersected these DEGs with 4,724 genes from WGCNA and 1,330 genes related to hemolysis that were identified in the GeneCards database to obtain 190 target genes. After further screening these genes using the PPI network, we identified TLR4, PTPRC, FCGR3B, STAT1, and APOE, which are closely associated with hemolysis in patients with AML. Finally, we found a causal relationship between TLR4 and AML occurrence using MR analysis (p < 0.05). Conclusion We constructed a WGCNA-based co-expression network and identified hemolysis-associated AML genes.

To develop a rapid differential detection method for porcine epidemic diarrhea virus(PEDV)and transmissible gastroenteritis virus(PEDV),M gene sequences of PEDV and TGEV were compared,the inner and outer primer pairs and probes were designed according to the highly conserved region.PEDV-Probe was labeled with FAM at5'end and BHQ1 at 3'end.TGEV-Probe was labeled with CY5.5 at the 5'end and BHQ2 at the 3'end.After optimizing the reaction condi-tions and system,a dual fluorescent RT-LAMP assay for PEDV and TGEV rapid identification was established.The amplification could be completed within 60 min in a 63 ℃ water bath and then stopped at 85 ℃ for 10 min.Then the tubes were placed in a multicolor imaging system,and the re-sults could be observed under 520 nm and 690 nm dual channels.There was no cross-reaction when other common swine viral pathogens were detected by this method.The sensitivity of the assay was evaluated with a 10-fold diluted recombinant plasmid as templates.The lowest detection limit was 102 copies/μL recombinant plasmid,which was 10 times more sensitive than the conventional RT-PCR method.Seventy-two PEDV-positive samples,49 TGEV-positive samples,and 40 PEDV and TGEV co-infected samples were detected from 175 anal swab samples of diarrheic piglets by the established method,which were all higher than the detection rates of the conventional RT-PCR method.The dual fluorescent RT-LAMP method established in this study can be used to amplify the target gene in an ordinary water bath without gel electrophoresis,which provides technical sup-port for rapid and convenient differential diagnosis of PED and TGE and simultaneous detection of PEDV and TGEV co-infection.

The RBRVS performance evaluation mechanism introduced from the U.S.does not match the research system of China's specialty Chinese medicine service programs in the process of domestic use.It aims to find a more suitable performance supplement for TCM disciplines based on the RBRVS performance accounting model of the case hospitals,in order to encourage TCM depart-ments to inherit and develop TCM.

Male infertility is one of the serious problems currently affecting human reproduction and health.Healthy gut microbi-ota is involved in the development of the immune system and protection against pathogen invasion,and it maintain normal metabolism and improve reproductive potential by secreting a variety of substances.The imbalance of gut microbiota can promote the local and sys-temic immune inflammatory response,induce chronic metabolic diseases,affect the synthesis of sex hormones,cause abnormal sper-matogenesis,maturation or activation,and it is closely related to the decline of male fertility.By exploring the correlation between gut microbiota and male infertility,this paper aims to provide new clues and directions for the clinical diagnosis and treatment of male in-fertility.

The modernization and development of traditional Chinese medicine has led to higher standards for the quality of traditional Chinese medicine products. The extraction process is a crucial component of traditional Chinese medicine production, and it directly impacts the final quality of the product. However, the currently relied upon methods for quality assurance of the extraction process, such as simple wet chemical analysis, have several limitations, including time consumption and labor intensity, and do not offer precise control of the extraction process. As a result, there is significant value in incorporating near-infrared spectroscopy (NIRS) in the production process of traditional Chinese medicine to improve the quality control of the final products. In this study, we focused on the extraction process of Xiao'er Xiaoji Zhike oral liquid (XXZOL), using near-infrared spectra collected by both a Fourier transform near-infrared spectrometer and a portable near-infrared spectrometer. We used the concentration of synephrine, a quality control index component specified by the pharmacopoeia, to achieve rapid and accurate detection in the extraction process. Moreover, we developed a model transfer method to facilitate the transfer of models between the two types of near-infrared spectrometers (analytical grade and portable), thus resolving the low resolution, poor performance, and insufficient prediction accuracy issues of portable instruments. Our findings enable the rapid screening and quality analysis of XXZOL onsite, which is significant for quality monitoring during the traditional Chinese medicine production process.

Aim To explore the effect of androgen receptor AR on the proliferation and lipid synthesis of cardiac fibroblasts under high-glucose conditions and the possible molecular mechanism.Methods The hearts of neonatal rats were dissected for primary culture of cardiac fibroblasts. Then the growth status of CFs was observed under the inverted microscope, and the identification of CFs was performed by immunofluorescence staining using anti-vimentin. After cell adherence, the cells were divided into blank control group, high glucose model group, negative control group, and overexpressed AR group. The glucose concentration was 33.0 mmol·L-1 except that the blank control group was 5.5 mmol·L-1. After 24 hours of CFs culture, Western blot and RT-qPCR were used to detect the expression of AR, FASN, PCNA, cyclin D1, α-SMA, and collagen . Oil red O and CCK-8 were used to detect the changes in lipid synthesis and cell proliferation ability, respectively.Results Compared with the blank control group, the lipid synthesis and proliferation of CFs in the high glucose model group were enhanced. Western blot and RT-qPCR results showed that the expression of AR decreased, while the expression of fat lipid synthase(FASN), proliferation marker PCNA, cyclin D1 and fibrosis marker α-SMA and collagen increased. After AR overexpressed plasmid was transfected into the CFs treated by high glucose, AR overexpression markedly decreased the expression of FASN, PCNA, cyclin D1, α-SMA and collagen compared with the empty plasmid‐transfected group. Meanwhile, oil red O staining and CCK-8 results showed that the lipid synthesis and proliferation ability of the overexpressed AR group decreased compared with the empty vector group, respectively. Conclusions High glucose promotes the proliferation and lipid synthesis of cardiac fibroblasts. Besides, the mechanism may be related to the regulation of lipid synthesis regulated by AR.

Objective To explore the role pathway and pattern of the myeloma cancer gene (MYC) and its mRNA interaction with the microRNAs(miRNAs) and circular RNA(circRNAs) at hour 0, hour 6 and hour 72 in the rat liver regeneration. Methods The rat 2/3 hepatectomy (PH) model was prepared as described by Higgins, the hepatocytes were isolated according to the method of Smedsrod et al. The expression changes of mRNA, miRNA and circRNA [together named as competing endogenous RNA (ceRNA)] were detected by the large-scale quantitative detection technology, the interaction network of ceRNA was constructed by Cytoscape 3.2 software, and their correlation in expression and role were analyzed by ceRNA comprehensive analysis. Results It was found that at hour 0 and hour 6 after PH, the ratio value of MYC mRNA showed 0.15±0.03 and 2.36±0.20, miR-134-5p indicated 3.22±0.61 and 0.08±0.02, circRNA_12112 displayed 0.68±0.21 and 13.35±3.53. At the same time, the cell cycle initiation-related genes ras association domain family member 1 (RASSF1), cyclin dependent kinase 2 (CDK2), superoxide dismutase 2 (SOD2), which were promoted in expression by MYC, were down-regulated at hour 0 after PH, but the cell cycle initiation-related genes nestin (NES), RAD21 cohesin complex component (RAD21), CUE domain containing 2 (CUEDC2), which are inhibieted in expression by MYC, had no meaningful express changes at hour 0 after PH. On the other hand, the cell cycle initiation-related gene SOD2, which was promoted in expression by MYC, was up-regulated at hour 6 after PH, but the cell cycle initiation-related genes NES, RAD21, CUEDC2, which are inhibieted in expression by MYC, were down-regulated at hour 6 after PH. In contrary, at hour 72 after PH, the ratio value of MYC mRNA showed 2.36±0.20, miR-880-3p indicated 0.54±0.01, circRNA_09599 displayd 0.54±0.16. At the same time, the cell cycle termination-related gene hepatocyte growth factor (HGF), which is promoted in expression by MYC, was up-regulated 72 hours after PH, the cell cycle termination-related genes MET proto-oncogene receptor tyrosine kinase (MET) and cyclin dependent kinase inhibitor 1A (CDKN1A), which are inhibieted in expression by MYC, were down-regulated 72 hours after PH. Conclusion The correlation in expression and role of the miRNAs, which are inhibited by circRNAs, MYC, its mRNA is inhibited by miRNAs, and the cell cycle initiation-related and cell cycle termination-related genes, which are regulated by MYC, are helpful for the hepatocyte to be in cell cycle initiation state at hour 6 after PH and to be in cell cycle termination state at hour 72 after PH.

[ Abstract] Objective To explore the role pathway and pattern of the Kruppel-like factor 4 (KLF4) and its mRNA interaction with microRNA (miRNAs) and circular RNA (circRNAs) at 0 hour and the 120 th hour in the rat liver regeneration. Methods The rat 2 / 3 hepatectomy (partial hepatectomy, PH) model was prepared as described by Higgins, the hepatocytes were isolated according to the method of Smedsrod et al, the expression changes of mRNA, miRNA and circRNA together named as competing endogenous RNA (ceRNA) were detected by the large-scale quantitative detection technology, the interaction network of ceRNA was constructed by Cytoscape 3. 2 software, and their correlation in expression and role were analyzed by ceRNA comprehensive analysis. Results It was found that at the 0 hour and the 120th hour PH, the ratio value of KLF4 mRNA showed 1. 00±0. 16 and 3. 14±0. 27, miR-881-3p displays 18. 30±1. 44 and 0. 47±0. 02, circRNA_20298 indicated 0. 32±0. 10 and 4. 24±0. 22, circRNA_14826 showed 0. 42±0. 13 and 0. 61±0. 08. At the same time, the four kinds of cell apoptosis-related genes adrenoceptor beta 2 (ADRB2), dimethylarginine dimethylaminohydrolase 2 (DDAH2), annexin A5 (ANXA5), ect, which were promoted in expression by KLF4, were down-regulated at 0 hour after PH, but the cell apoptosis-related genes synuclein gamma (SNCG), glutathione-disulfide reductase (GSR), FYVE, RhoGEF and PH domain containing 4 (FGD4), ect, which were inhibited in expression by KLF4, were up-regulated at 0 hour after PH. On the other hand, the cell apoptosis-related genes ANXA5 and thymosin beta 10 (TMSB10), which are promoted in expression by KLF4, were up-regulated at the 120th hour after PH, but the cell apoptosis-related genes chloride intracellular channel 4 (CLIC4) and ataxin 3 (ATXN3), ect, which were inhibited in expression by KLF4, were down-regulated at the 120th hour after PH. Conclusion The correlation in expression and role of the miRNAs, which are inhibited by circRNAs, KLF4, its mRNA is inhibited by miRNAs, and the cell apoptosis-related genes, which are regulated by KLF4, are helpful for the hepatocyte to be in active state 0 hour after PH and to be in apoptotic state 120-hour after PH.