BACKGROUND:The pathogenesis of steroid-induced osteonecrosis of the femoral head is not yet fully understood.A deep comprehension of the pathology and molecular mechanisms of steroid-induced osteonecrosis of the femoral head,as well as the search for diagnostic markers with high specificity and sensitivity,are crucial for the prevention and treatment of this condition.OBJECTIVE:To identify immune diagnostic markers for steroid-induced osteonecrosis of the femoral head and predict potential drug targets through drug enrichment analysis and molecular docking techniques.METHODS:The study utilized gene expression profile data(GSE123568 and GSE74089)from the GEO databases(a public gene expression database built by the U.S.National Center for Biotechnology Information).R software was used for data normalization and differential gene screening,followed by weighted gene co-expression network analysis(WGCNA)to identify disease-related genes.Immune-related genes were obtained from the GeneCards database and intersected with the differential genes and WGCNA gene sets to select immune-related genes for steroid-induced osteonecrosis of the femoral head.Mendelian randomization was used to validate the potential causal relationship between these immune-related genes and steroid-induced osteonecrosis of the femoral head.Gene Set Enrichment Analysis was conducted to analyze the immune-related pathways involved,and protein-protein interaction networks were used to assess functional associations.Finally,drug enrichment analysis and molecular docking were performed to predict potential drugs targeting these immune-related genes.RESULTS AND CONCLUSION:Three key immune-related genes-RNASEL,SECTM1,and HSPA6-were identified.These genes were highly expressed in steroid-induced osteonecrosis of the femoral head and exhibited good diagnostic potential,which were involved in multiple immune-related signaling pathways.Mendelian randomization analysis confirmed their potential causal relationship with steroid-induced osteonecrosis of the femoral head.Drug enrichment analysis and molecular docking identified nine potential drugs,including β-ecdysterone,showing the possibility of intervening in the pathological process of steroid-induced osteonecrosis of the femoral head by regulating the HSPA6 protein.These findings provide new biomarkers and drug targets for the early diagnosis and personalized treatment of steroid-induced osteonecrosis of the femoral head.They also highlight the potential application of bioinformatics in Chinese biomedical research,facilitating the integration and translational use of international data in local disease studies.

BACKGROUND:The pathogenesis of steroid-induced osteonecrosis of the femoral head is not yet fully understood.A deep comprehension of the pathology and molecular mechanisms of steroid-induced osteonecrosis of the femoral head,as well as the search for diagnostic markers with high specificity and sensitivity,are crucial for the prevention and treatment of this condition.OBJECTIVE:To identify immune diagnostic markers for steroid-induced osteonecrosis of the femoral head and predict potential drug targets through drug enrichment analysis and molecular docking techniques.METHODS:The study utilized gene expression profile data(GSE123568 and GSE74089)from the GEO databases(a public gene expression database built by the U.S.National Center for Biotechnology Information).R software was used for data normalization and differential gene screening,followed by weighted gene co-expression network analysis(WGCNA)to identify disease-related genes.Immune-related genes were obtained from the GeneCards database and intersected with the differential genes and WGCNA gene sets to select immune-related genes for steroid-induced osteonecrosis of the femoral head.Mendelian randomization was used to validate the potential causal relationship between these immune-related genes and steroid-induced osteonecrosis of the femoral head.Gene Set Enrichment Analysis was conducted to analyze the immune-related pathways involved,and protein-protein interaction networks were used to assess functional associations.Finally,drug enrichment analysis and molecular docking were performed to predict potential drugs targeting these immune-related genes.RESULTS AND CONCLUSION:Three key immune-related genes-RNASEL,SECTM1,and HSPA6-were identified.These genes were highly expressed in steroid-induced osteonecrosis of the femoral head and exhibited good diagnostic potential,which were involved in multiple immune-related signaling pathways.Mendelian randomization analysis confirmed their potential causal relationship with steroid-induced osteonecrosis of the femoral head.Drug enrichment analysis and molecular docking identified nine potential drugs,including β-ecdysterone,showing the possibility of intervening in the pathological process of steroid-induced osteonecrosis of the femoral head by regulating the HSPA6 protein.These findings provide new biomarkers and drug targets for the early diagnosis and personalized treatment of steroid-induced osteonecrosis of the femoral head.They also highlight the potential application of bioinformatics in Chinese biomedical research,facilitating the integration and translational use of international data in local disease studies.

Moyamoya angiopathy is a chronic progressive occlusive intracranial vasculopathy, and CT angiography, MRI, digital subtraction angiography are the auxiliary examinations. Headache is a common symptom in Moyamoya angiopathy (MMA ) patients, and the phenotypes of headache attributed to MMA mainly include migraine-like headache and tension type-like headache; mechanism involves in dilatation of intracranial and extracranial arteries and leptomeningeal collaterals, cerebral hypoperfusion, vascular endothelial damage, genetic susceptibility, and mental stress. Strategies such as surgical revascularization and medical treatment are given. This article focuses on clinical manifestations, pathogenesis, diagnoses, treatments and prognoses of headache attributed to MMA, in order to deepen the understanding of clinical workers on this symptom.

Objective To investigate the influencing factors for direct-acting antiviral agent (DAA) therapy failure in the treatment of hepatitis C by comparing baseline clinical data and resistance-associated substitution (RAS) in sequencing data between the patients with HCV RNA reactivation after DAA therapy and the patients with successful DAA treatment. Methods A total of 13 patients from multiple centers who failed DAA therapy from November 2019 to October 2021 were enrolled as treatment failure group, and sequencing was performed for their positive serum samples. A total of 51 patients with successful DAA treatment were enrolled as control group, and baseline clinical data and sequencing results were compared between the treatment failure group and the control group. The Mann-Whitney U test was used for comparison of non-normally distributed continuous data between groups, and the chi-square test was used for comparison of categorical data between groups; univariate and multivariate logistic regression analyses were performed to calculate odds ratio ( OR ) and investigate the influencing factors for treatment failure. Results All 12 patients with complete treatment data experienced recurrence within 1 year after the end of medication. The male patients with treatment failure had significantly higher baseline total bilirubin, direct bilirubin, and creatinine than their female counterparts ( Z =-2.517, -2.440, and -2.132, P =0.010, 0.010, and 0.038), and the patients with an age of ≤55 years ( OR =5.152, 95% confidence interval [ CI ]: 1.116-23.790, P =0.036) or genotype 3b ( OR =9.726, 95% CI : 1.325-71.398, P =0.025) had a higher probability of treatment failure. There were differences in the incidence rates of major RAS mutations on three gene fragments between the treatment failure group and the treatment success group, and the common RAS mutations detected in the treatment failure group were not detected in the treatment success group. Conclusion Age, genotype, and RAS in serum virus gene sequence are influencing factors for DAA treatment failure.

Cerebral small vessel disease is a group of diseases mainly affecting intracranial small artery and arteriole.The main characteristic changes of cerebral small vessel disease on MRI are diffuse white matter hyperintensities,lacunar infarcts,cerebral microbleeds,and enlarged perivascular spaces.These changes may be correlated with cognitive impairment.At present,many scales are available and can be used to evaluate cerebral small vessel disease caused cognitive inpairment.