BACKGROUND:At present,osteoarthritis has become a major disease affecting the quality of life of the elderly,and the therapeutic effect is poor,often focusing on preventing the disease process,and the pathogenesis of osteoarthritis is still not fully understood.Bioinformatics analysis was carried out to explore the main pathogenesis of osteoarthritis and related mechanisms of gene coding regulation. OBJECTIVE:To screen core differential genes with a major role in osteoarthritis by gene expression profiling. METHODS:Datasets were downloaded from the Gene Expression Omnibus(GEO):GSE114007,GSE117999,and GSE129147.Differential genes in the GSE114007 and GSE117999 data collections were screened using R software,performing differential genes to weighted gene co-expression network analysis.The module genes most relevant to osteoarthritis were selected to perform protein interaction analysis.Candidate core genes were selected using the cytocape software.The candidate core genes were subsequently subjected to least absolute shrinkage and selection operator regression and COX analysis to identify the core genes with a key role in osteoarthritis.The accuracy of the core genes was validated using an external dataset,GSE129147. RESULTS AND CONCLUSION:(1)A total of 477 differential genes were identified,265 differential genes associated with osteoarthritis were obtained by weighted gene co-expression network analysis,and 8 candidate core genes were identified.The least absolute shrinkage and selection operator regression analysis finally yielded a differential gene ASPM with core value that was externally validated.(2)It is concluded that abnormal gene ASPM expression screened by bioinformatics plays a key central role in osteoarthritis.

Background::Findings on the association of genetic factors and colorectal cancer (CRC) survival are limited and inconsistent, and revealing the mechanism underlying their prognostic roles is of great importance. This study aimed to explore the relationship between functional genetic variations and the prognosis of CRC and further reveal the possible mechanism.Methods::We first systematically performed expression quantitative trait locus (eQTL) analysis using The Cancer Genome Atlas (TCGA) dataset. Then, the Kaplan-Meier analysis was used to filter out the survival-related eQTL target genes of CRC patients in two public datasets (TCGA and GSE39582 dataset from the Gene Expression Omnibus database). The seven most potentially functional eQTL single nucleotide polymorphisms (SNPs) associated with six survival-related eQTL target genes were genotyped in 907 Chinese CRC patients with clinical prognosis data. The regulatory mechanism of the survival-related SNP was further confirmed by functional experiments.Results::The rs71630754 regulating the expression of endoplasmic reticulum aminopeptidase 1 ( ERAP1) was significantly associated with the prognosis of CRC (additive model, hazard ratio [HR]: 1.43, 95% confidence interval [CI]: 1.08-1.88, P = 0.012). The results of dual-luciferase reporter assay and electrophoretic mobility shift assay showed that the A allele of the rs71630754 could increase the binding of transcription factor 3 (TCF3) and subsequently reduce the expression of ERAP1. The results of bioinformatic analysis showed that lower expression of ERAP1 could affect the tumor immune microenvironment and was significantly associated with severe survival outcomes. Conclusion::The rs71630754 could influence the prognosis of CRC patients by regulating the expression of the immune-related gene ERAP1. Trial Registration::No. NCT00454519 (https://clinicaltrials.gov/)

Objective To analyze the epidemiological characteristics of population-based cohort of patients with the comorbidity of cardiovascular and cerebrovascular diseases and type 2 diabetes in Lingnan area,and to study the related influencing factors in the onset and progression of the disease. Methods A retrospective cohort study was used to collect data from people who underwent physical examination in the Eleventh People's Hospital of Guangzhou from May 2022 to December 2023. Data mainly included questionnaire surveys,physical examinations,and laboratory testing indicators. The 2022 was defined as the baseline to statistically analyze the occurrence and development of the comorbidity of cardiovascular and cerebrovascular diseases and type 2 diabetes in this population,and to analyze the related influencing factors of comorbidity and distribution of traditional Chinese medicine constitution in comorbidity population. Results Finally,a total of 26498 subjects were included,from which there were 359 patients with the comorbidity of cardiovascular and cerebrovascular diseases and type 2 diabetes (comorbidity group),accounting for 1.4％ of the total. Among them,290 were male,accounting for 80.8％,which is much higher than female. The mean age was(61.6±9.5)years old,which was significantly higher than that of the non-comorbidity group. The cases of comorbidity group were mainly concentrated in the age group of 45-75 years old,and no cases were found in people under 35 years old. There were 293 patients with the comorbidity of ischemic cardiovascular disease and type 2 diabetes,whose proportion (81.6％) is much higher than that of other types. Significant differences between comorbidity group and non-comorbidity group were found in terms of gender,age,age distribution,height,body mass,body mass index (BMI),smoking,alcohol consumption,marital status,exercise,and dampness syndrome (P<0.05). About 1.0％ of population at the baselined converted from non-comorbidities or single disease to comorbidities. The proportion of newly diagnosed patients with the comorbidity of ischemic cardiovascular disease and type 2 diabetes is the highest,up to 68.9％. BMI overweight or obesity,large waist circumference,smoking,dampness syndrome and exercise were the risk factors affecting the comorbidity of cardiovascular and cerebrovascular diseases and type 2 diabetes. A total of 264 cases of comorbidity group had finished evaluation of traditional Chinese medicine body constitutions. The proportion of balanced constitution was the highest (31.1％),followed by dampness-heat constitution (18.2％),yang-deficiency constitution (13.3％) and phlegm-dampness constitution (11.7％). Conclusion The incidence of the comorbidity of cardiovascular and cerebrovascular diseases and type 2 diabetes is high in Lingnan area,which may be related to dampness constitution,BMI overweight or obesity,large waist circumference,smoking,dampness syndrome and lack of exercise.

Hypoxic preconditioning could improve the survival of mesenchymal stem cells (MSCs) in ischemic or hypoxic environments, but its exact mechanism remains to be further explored. This study aims to determine the role of lysine crotonylation (Kcr) in regulating the survival and proliferation of peripheral blood mesenchymal stem cells (PBMSCs) in the hypoxic culture. PBMSCs were isolated and cultured from rat peripheral blood mononuclear cells, and their surface markers were identified by flow cytometry. PBMSCs were first subjected to hypoxic/ normoxic preconditioning: hypoxic (1% O

BACKGROUND: High-grade serous ovarian cancer (HGSOC) is the biggest cause of gynecological cancer-related mortality because of its extremely metastatic nature. This study aimed to explore and evaluate the characteristics of candidate factors associated with the metastasis and progression of HGSOC. METHODS: Transcriptomic data of HGSOC patients' samples collected from primary tumors and matched omental metastatic tumors were obtained from three independent studies in the National Center for Biotechnology Information (NCBI) Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were selected to evaluate the effects on the prognosis and progression of ovarian cancer using data from The Cancer Genome Atlas (TCGA) database. Hub genes' immune landscapes were estimated by the Tumor Immune Estimation Resource (TIMER) database. Finally, using 25 HGSOC patients' cancer tissues and 10 normal fallopian tube tissues, immunohistochemistry (IHC) was performed to quantify the expression levels of hub genes associated with International Federation of Gynecology and Obstetrics (FIGO) stages. RESULTS: Fourteen DEGs, ADIPOQ , ALPK2 , BARX1 , CD37 , CNR2 , COL5A3 , FABP4 , FAP , GPR68 , ITGBL1 , MOXD1 , PODNL1 , SFRP2 , and TRAF3IP3 , were upregulated in metastatic tumors in every database while CADPS , GATA4 , STAR , and TSPAN8 were downregulated. ALPK2 , FAP , SFRP2 , GATA4 , STAR , and TSPAN8 were selected as hub genes significantly associated with survival and recurrence. All hub genes were correlated with tumor microenvironment infiltration, especially cancer-associated fibroblasts and natural killer (NK) cells. Furthermore, the expression of FAP and SFRP2 was positively correlated with the International Federation of Gynecology and Obstetrics (FIGO) stage, and their increased protein expression levels in metastatic samples compared with primary tumor samples and normal tissues were confirmed by IHC ( P = 0.0002 and P = 0.0001, respectively). CONCLUSIONS This study describes screening for DEGs in HGSOC primary tumors and matched metastasis tumors using integrated bioinformatics analyses. We identified six hub genes that were correlated with the progression of HGSOC, particularly FAP and SFRP2 , which might provide effective targets to predict prognosis and provide novel insights into individual therapeutic strategies for HGSOC.
Humans ; Female ; Ovarian Neoplasms/pathology* ; Prognosis ; Gene Expression Profiling ; Transcriptome ; Tumor Microenvironment ; Receptors, G-Protein-Coupled/therapeutic use* ; Tetraspanins/genetics* ; Protein Kinases ; Integrin beta1/therapeutic use*

The vagina contains at least a billion microbial cells,dominated by lactobacilli.Here we perform metagenomic shotgun sequencing on cervical and fecal samples from a cohort of 516 Chinese women of reproductive age,as well as cervical,fecal,and salivary samples from a second cohort of 632 women.Factors such as pregnancy history,delivery history,cesarean section,and breastfeeding were all more important than menstrual cycle in shaping the microbiome,and such information would be necessary before trying to interpret differences between vagino-cervical micro-biome data.Greater proportion of Bifidobacterium breve was seen with older age at sexual debut.The relative abundance of lactobacilli especially Lactobacillus crispatus was negatively associated with pregnancy history.Potential markers for lack of menstrual regularity,heavy flow,dysmenor-rhea,and contraceptives were also identified.Lactobacilli were rare during breastfeeding or post-menopause.Other features such as mood fluctuations and facial speckles could potentially be predicted from the vagino-cervical microbiome.Gut and salivary microbiomes,plasma vitamins,metals,amino acids,and hormones showed associations with the vagino-cervical microbiome.Our results offer an unprecedented glimpse into the microbiota of the female reproductive tract and call for international collaborations to better understand its long-term health impact other than in the settings of infection or pre-term birth.

Cardiology ; China ; Consensus ; Heart Failure/therapy* ; Humans ; Self-Management ; United States

Objective To understand the infection status and molecular characteristics of Campylobacter, and to provide evidence for the prevention and control of Campylobacter infection. Methods A total of 382 stool samples from diarrhea patients in a sentinel hospital in Changping District, Beijing, were collected in 2019. Campylobacter, Salmonella, Diarrhea Escherichia coli, and Vibrio Parahaemolyticus were detected, and the isolated Campylobacter jejuni strains were analyzed by pulsed-field gel electrophoresis (PFGE). Results The positive detection rate of Campylobacter (58 strains, 15.18%) was higher than that of Diarrhea Escherichia coli (37 strains, 9.69%), Salmonella (24 strains, 6.28%) and Vibrio Parahaemolyticus (21 strains, 5.50%), and the difference was statistically significant (χ²=26.735, P=0.000). Campylobacter strains were found in spring (14.71%), summer (18.33%), autumn (15.00%) and winter (10.00%), but there was no significant difference (χ²=2.197, P=0.533). PFGE analysis showed that 30 strains of Campylobacter jejuni had 26 PFGE patterns, and the similarity coefficient was 31.00% -100.00%. Conclusion In the study, the detection rate of Campylobacter is in the first place, and it is detected in four seasons, indicating that the infection of Campylobacter is serious in Changping District of Beijing. It is necessary to pay more attention to the infection of Campylobacter and formulate corresponding policies to prevent the outbreak caused by Campylobacter infection..