BACKGROUND:Endoplasmic reticulum stress is closely associated with the occurrence and progression of osteoarthritis,but the key genes and regulatory mechanisms remain unclear.OBJECTIVE:Utilizing bioinformatics to identify crucial endoplasmic reticulum stress-related genes in osteoarthritis,followed by experimental validation in cell models,aiming to offer new strategies for the prevention and treatment of osteoarthritis from the perspective of endoplasmic reticulum stress.METHODS:Osteoarthritis-related dataset GSE55235 was downloaded from the GEO database.Differential genes in synovial tissue of osteoarthritis were obtained through WGCNA machine learning algorithm and intersected with endoplasmic reticulum stress-related genes from the GeneCard database to acquire differential endoplasmic reticulum stress-related genes in osteoarthritis(ERSDEGs).These genes underwent GO and KEGG enrichment analysis,construction of a protein-protein interaction network,and validation of diagnostic efficiency in external datasets.Human primary synovioblast model of osteoarthritis was constructed.The control group was not treated,and the experimental group received 20 ng/mL lipopolysaccharide to simulate osteoarthritic synoviocyte modeling.Real-time fluorescence quantitative PCR was then performed to validate the expression level of each differential gene followed by immune infiltration analysis.RESULTS AND CONCLUSION:A total of 27 key endoplasmic reticulum stress-related genes in osteoarthritis were identified.GO enrichment analysis revealed that these genes were mainly enriched in collagen metabolism,chemokine,antigen binding,and immunoglobulin receptor binding processes.KEGG analysis indicated that they were mainly enriched in pathways such as rheumatoid arthritis and relaxin signaling pathways.The protein-protein interaction network was constructed,and the top five genes with the highest scores were identified using the Degree algorithm in Cytoscape software,including matrix metallopeptidase 1,tumor necrosis factor ligand superfamily member 11,matrix metallopeptidase 9,collagen type 1 alpha 1,and chemokine C-X-C motif ligand 12.Immune infiltration analysis showed that immune cells were mainly distributed in M2 macrophages,chemokine C-X-C motif ligand 12 showed a significant positive correlation with resting mast cells(r=0.70,P＜0.001)and a significant negative correlation with resting memory CD4+T cells(r=-0.72,P＜0.001).Matrix metallopeptidase 9 showed a significant positive correlation with MO macrophages(r=0.94,P＜0.001).Collagen type 1 alpha 1 was significantly positively correlated with resting NK cells(r=0.77,P＜0.001)and MO macrophages(r=0.76,P＜0.001).Receiver operator characteristic curve analysis in external datasets GSE77298 and GSE1919 showed that the five key genes had good disease prediction value.In vitro cell experiments demonstrated significant differences in the expression levels of matrix metallopeptidase 1,tumor necrosis factor ligand superfamily member 11,matrix metallopeptidase 9,and chemokine C-X-C motif ligand 12 in the osteoarthritic cell model compared to the control group.These results showed that the key genes related to endoplasmic reticulum stress in osteoarthritis,including matrix metallopeptidase 1,tumor necrosis factor ligand superfamily member 11,matrix metallopeptidase 9,and chemokine C-X-C motif ligand 12,influence the occurrence and development of osteoarthritis through the links of collagen degradation and immune regulation,which are expected to provide new insights into the targeted treatment of osteoarthritis.

BACKGROUND: Double-stranded RNA-specific adenosine deaminase 1 (ADAR1) binds to double-stranded RNA and catalyzes the deamination of adenosine (A) to inosine (I). The functional mechanism of ADAR1 in non-small cell lung cancer (NSCLC) remains incompletely understood. This study aimed to investigate the prognostic significance of ADAR1 in NSCLC and to elucidate its potential role in regulating tumor cell proliferation and migration. METHODS: Data from The Cancer Genome Atlas (TCGA) and cBioPortal were analyzed to assess the correlation between high ADAR1 expression and clinicopathological features as well as prognosis in lung cancer. We performed Western blot (WB), cell proliferation assays, Transwell invasion/migration assays, and nude mouse xenograft modeling to examine the phenotypic changes and molecular mechanisms induced by ADAR1 knockdown. Furthermore, the ADAR1 p150 overexpression model was utilized to validate the proposed mechanism. RESULTS: ADAR1 expression was significantly elevated in lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC) tissues compared with adjacent non-tumor tissues (LUAD: P=3.70×10-15, LUSC: P=0.016). High ADAR1 expression was associated with poor prognosis (LUAD: P=2.03×10-2, LUSC: P=2.81×10-2) and distant metastasis (P=0.003). Gene Set Enrichment Analysis (GSEA) indicated that elevated ADAR1 was associated with mitogen-activated protein kinase/extracellular signal-regulated kinase (MAPK/ERK) pathway activation, matrix metalloproteinase-9 (MMP-9) expression, and cell adhesion. ADAR1 and MMP-9 levels showed a strongly positive correlation (P=6.45×10-34) in 10 lung cancer cell lines, highest in H1581. Knockdown of ADAR1 in H1581 cells induced a rounded cellular morphology with reduced pseudopodia. Concomitantly, it suppressed cell proliferation, invasion, migration, and in vivo tumorigenesis. It also suppressed ERK phosphorylation and downregulated cellular Finkel-Biskis-Jinkins murine osteosarcoma viral oncogene homolog (c-FOS), MMP-9, N-cadherin, and Vimentin. Conversely, ADAR1 p150 overexpression in PC9 cells enhanced ERK phosphorylation and increased c-FOS and MMP-9 expression. CONCLUSIONS High ADAR1 expression is closely associated with poor prognosis and distant metastasis in NSCLC patients. Mechanistically, ADAR1 may promote proliferation, invasion, migration, and tumorigenesis in lung cancer cells via the ERK/c-FOS/MMP-9 axis.
Humans ; Lung Neoplasms/physiopathology* ; Adenosine Deaminase/genetics* ; Matrix Metalloproteinase 9/genetics* ; Cell Proliferation ; Carcinoma, Non-Small-Cell Lung/physiopathology* ; Cell Movement ; Animals ; Mice ; RNA-Binding Proteins/genetics* ; Female ; Male ; Cell Line, Tumor ; Proto-Oncogene Proteins c-fos/genetics* ; Middle Aged ; MAP Kinase Signaling System ; Gene Expression Regulation, Neoplastic ; Mice, Nude ; Extracellular Signal-Regulated MAP Kinases/genetics*

Objective To evaluate the quality of cisatracurium besilate injection produced by domestic manufacturers.Methods A comprehensive evaluation of 104 batches of samples was carried out using statutory testing methods combined withexploratory research,including related substances,1,5-pentanediol diacrylate,residual solvents,genotoxic impurities of benzenesulfonate esters,infrared spectrum,and endotoxin examination.The quality of domestic products and the controllability of current specifications were comprehensively evaluated.Results According to the statutory tests,the qualified rate of 104 batches of samples was 100.0％.The exploratory research showed that the results of related substances in the samples produced by 6 manufacturers were far below the limit,and no genotoxic impurities of benzenesulfonate esters were detected.However,the results showed that there was variability in 1,5-pentanediol diacrylate,as well as residual solvents.Conclusions The quality of the cisatracurium besilate injection is good,and the current specifications should be further improved and unified.It was proposed that the infrared spectrum,related substance,and 1,5-pentanediol diacrylate method be added or revised,and the limit of endotoxin strictly controlled.It was proposed that manufacturers pay attention to the quality of API and control injection production.

Objective:To investigate the effect of ginkgolide B(GB)on astrocyte(AST)phagocytosis of myelin debris,and to investigate the mechanism of this functional therapy to demyelination by targeting AST.Methods:In vitro culture of AST,and divided AST into three groups:Control group,Myelin debris(Debris)group and Debris+GB group,incubed them in a constant temperature CO2 cell culture incubator for 24 hours,and then detected relevant indicators to observe the effect of GB on AST on phagocytic myelin debris.Results:Compared to the phagocytosis of myelin debris by primary AST,GB could effectively promote the phagocytosis by AST and show enhanced ABCA-1 expression(both P<0.05).Phagocytosis of myelin debris had no effect on the secretion of inflammatory cytokines by in vitro cultured AST.Debris+GB increased the expressions of neurotrophic CNTF and B-FGF compared to Debris(both P<0.05).Furthermore,Debris+GB decreased Bax and Caspase-3,while increased Bcl-2 expression(all P<0.05).Conclusion:GB can promote the phagocytosis of myelin debris by AST,which may be related to the upregulation of ABCA-1.Meanwhile,phagocytosis of myelin debris by AST increases the expression of the neurotrophic factors and the inhibits the apoptosis of AST themselves.

Objective:To explore effects and mechanism of Hydroxylsafflower Yellow A(HSYA)on expression of NLRP3 in glial cells after cerebral ischemic injury.Methods:A middle cerebral artery occlusion/reperfusion(MCAO/R)model was established in male SD rats.After successfully modeling for 24 h,Longa scoring and corner test were used to evaluate degree of neurological dys-function.Western blot and immunofluorescence were used to detect expressions of JAK2/STAT3 molecules and NLRP3,ELISA was used to measure IL-1β,IL-6 and TNF-α levels.A glucose-oxygen deprivation/reperfusion(OGD/R)model was established in microg-lia,and JAK2 and STAT3 inhibitor AG490 was used to further verify action of HSYA on NLRP3.Results:Compared with sham group,neurological dysfunction aggravated in MCAO/R group(P<0.01),HSYA treatment improved neurological function(P<0.01).Expres-sions of p-JAK2,p-STAT3 and NLRP3 in MCAO/R group were higher than those in the sham group(P<0.01);and HSYA treatment reduced expressions of p-JAK2,p-STAT3 and NLRP3(P<0.01).Levels of inflammatory factors IL-1β,IL-6 and TNF-α were higher in MCAO/R group than sham group(P<0.01),and HSYA inhibited expressions of IL-1β,IL-6 and TNF-α(P<0.01 or P<0.05).In vi-tro experiments showed expressions of p-JAK2,p-STAT3 and NLRP3 in OGD/R group were significantly higher than normal control group(P<0.01),after adding AG490,phosphorylation of JAK2 and STAT3 decreased,NLRP3 expression was inhibited(P<0.01).Inflammatory cytokines IL-1β,IL-6 and TNF-α levels were higher in OGD/R group than normal control group(P<0.01),and HSYA inhibited expressions of IL-1β,IL-6 and TNF-α(P<0.01 or P<0.05).Conclusion:HSYA alleviates brain damage,probably by regu-lating JAK2/STAT3 signaling pathway and inhibiting NLRP3 expression in microglia after cerebral ischemia and hypoxia.

Cancer stands as a significant global public health challenge,and cancer screening serves as a pivotal strategy for reducing its mortality.Presently,only a limited number of cancer types have appropriate screening methods available.Traditional single-cancer screen-ing approaches are fraught with limitations,including invasiveness,low accuracy,and poor patient compliance.Multi-cancer early detection(MCED)leveraging liquid biopsy technology enables non-invasive and efficient early detection of multiple cancers by analyzing biomarkers such as cell-free DNA,cell-free RNA,proteins,and metabolites in blood and other bodily fluids.This innovative approach substantially broadens the spectrum of detectable cancers and enhances population coverage,showcasing immense potential for improving existing can-cer screening strategies.This expert consensus comprehensively reviews the progress of liquid biopsy-based MCED,biomarker selection and detection technologies,the criteria for cancer type selection,research design and clinical utility evaluation,as well as implementation path-ways.The overarching goal of this consensus is to offer scientific guidance for further research and the widespread adoption of MCED,thereby facilitating the continuous optimization of cancer screening strategies.

Objective:To analyze the clinical characteristics, diagnosis and prognosis of pregnant women with fetomaternal hemorrhage (FMH) syndrome, and to guide the management of pregnant women with FMH syndrome.Methods:The clinical data of 33 pregnant women with FMH syndrome admitted to Beijing Obstetrics and Gynecology Hospital, Capital Medical University, from January 2010 to December 2024 were collected, and the general information, diagnostic characteristics, treatment and maternal and fetal prognosis were retrospectively analyzed.Results:The incidence of FMH syndrome in our hospital was 1.7/10 000 (33/194 272). The gestational age of onset of FMH syndrome in 33 pregnant women was (35.6±3.1) weeks, 15 cases (45%, 15/33) were full-term delivery and 18 cases (55%, 18/33) were preterm delivery. Decreased fetal movement (51%, 17/33) was the most common initial symptom, followed by abnormal electronic fetal monitoring (33%, 11/33). Thirty-two cases (97%, 32/33) underwent cesarean section, and only one case had spontaneous delivery. Postpartum hemorrhage occurred in 11 cases (33%, 11/33). All the neonates were transferred to neonatal intensive care unit for treatment. Two of them were treated with intrauterine blood transfusion, and the neonates did not receive blood transfusion after birth. The neonatal mortality rate was 6% (2/33), and the remaining 31 cases (94%, 31/33) survived. Complications occurred in 3 premature infants, including 1 case of neonatal neurodevelopmental disorder with cochlear implantation, 1 case of pulmonary artery stenosis, and 1 case of retinopathy of prematurity. Three pregnant women were pregnant again, and none of them had FMH syndrome.Conclusions:Decreased fetal movement or abnormal electronic fetal monitoring in late pregnancy should be alert to the occurrence of FMH syndrome. Early diagnosis and intervention are critical to improve the prognosis of FMH syndrome.

Aim To investigate the relationship between sleep deprivation and vascular aging,as well as the un-derlying mechanisms.Methods Male Sprague-Dawley rats were divided into control group,senescence group,sleep deprivation group,and sleep deprivation+senescence group,with 6 rats in each group.The modified level table method deprived rats of sleep duration.Senescence-associated β-galactosidase(SA-β-Gal)staining was used to detect the senes-cence status of rat vascular tissue.The mRNA and protein expression of tumor suppressor protein p53,silent information regulator 1(SIRT1)and clock gene cryptochrome 1(CRY1)was detected by real-time fluorescence quantification PCR(RT-qPCR),Western blot and immunohistochemistry.Results Compared with the control group,the intensity of SA-β-Gal staining was increased in the vascular tissues of the senescence group rats,the expression level of p53 was elevat-ed,the expression level of SIRT1 was decreased.Similar changes were observed in the sleep deprivation group and the sleep deprivation+senescence group,including intensified SA-β-Gal staining,elevated p53 levels,and reduced SIRT1 lev-els in vascular tissues.Additionally,compared with the control group,the sleep deprivation group showed reduced CRY1 levels in vascular tissues,while only CRY1 mRNA levels were reduced in the sleep deprivation+senescence group.Fur-thermore,compared with the senescence group,the sleep deprivation+senescence group exhibited intensified SA-β-Gal staining,increased p53 level,decreased SIRT1 level,and reduced CRY1 mRNA level in vascular tissues.Conclusion Sleep deprivation may promote the expression of vascular aging-related factors,potentially through the inhibition of CRY1 expression in vascular tissues.

Cancer stands as a significant global public health challenge, and cancer screening serves as a pivotal strategy for reducing its mortality. Presently, only a limited number of cancer types have appropriate screening methods available. Traditional single-cancer screening approaches are fraught with limitations, including invasiveness, low accuracy, and poor patient compliance. Multi-cancer early detection (MCED) leveraging liquid biopsy technology enables non-invasive and efficient early detection of multiple cancers by analyzing biomarkers such as cell-free DNA, cell-free RNA, proteins, and metabolites in blood and other bodily fluids. This innovative approach substantially broadens the spectrum of detectable cancers and enhances population coverage, showcasing immense potential for improving existing cancer screening strategies. This expert consensus comprehensively reviews the progress of liquid biopsy-based MCED, biomarker selection and detection technologies, the criteria for cancer type selection, research design and clinical utility evaluation, as well as implementation pathways. The overarching goal of this consensus is to offer scientific guidance for further research and the widespread adoption of MCED, thereby facilitating the continuous optimization of cancer screening strategies.

BACKGROUND:Glucose metabolism plays a crucial role in maintaining the normal physiological function of the body.Glucose metabolism disorder can lead to a range of health problems.At present,the molecular mechanism of glucose metabolism and potential gene targets in osteoarthritis need to be further studied.OBJECTIVE:To analyze the genes related to glucose metabolism in osteoarthritis by bioinformatics methods,and to verify them by cell experiments in vitro,so as to provide new ideas for prevention and treatment of osteoarthritis from the perspective of glucose metabolism.METHODS:Differentially expressed genes and glucose metabolism related genes were screened out from GEO database and GeneCards database.The genes related to both osteoarthritis and glucose metabolism were obtained.Gene Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment analysis were used to screen the functions and pathways of these genes.To further investigate the interactions between these genes,a protein-protein interaction network was constructed and computational methods using Cytoscape software were utilized to identify key genes(Hub genes)for osteoarthritis glucose metabolism.In addition,CIBERSORT algorithm was used to analyze immune cell infiltration in GSE98918 data set.Finally,the expression of Hub gene was verified by cell experiment in vitro.RESULTS AND CONCLUSION:A total of 134 osteoarthritis glucose metabolism-related genes were obtained.GO enrichment analysis showed that GO was mainly involved in the reaction of toxic substances,the positive regulation of inflammatory reaction,the reaction of lipopolysaccharide and so on.KEGG enrichment analysis showed that it was closely related to PI3K-Akt signaling pathway,interleukin-17 signaling pathway,and AGE-RAGE signaling pathway in diabetic complications.Macrophages,monocytes,resting natural killer cells,regulatory T cells,and CD8+T cells were the main infiltrating cells obtained by immune infiltration analysis.In vitro cell experiments showed that the expression of Hub genes SERPINF1,TAC1,GLUL,APOE,and TMEM176A in the experimental group was significantly different from that in the control group.The mRNA expression of HLA-DRA was not statistically significant.The results show that SERPINF1,TAC1,Glul,APOE,and TMEM176A may be the key genes of glucose metabolism in osteoarthritis,and may be potential new targets for the prevention and treatment of osteoarthritis.