BACKGROUND:Knee osteoarthritis(KOA)is a common chronic inflammatory disease that causes damage to joint cartilage and surrounding tissues.Immune cells play an important role in the immune-inflammatory response in knee osteoarthritis,but the specific mechanisms involved are still not fully understood. OBJECTIVE:To evaluate the potential causal relationship between 731 immune cell phenotypes and the risk of knee osteoarthritis using Mendelian randomization. METHODS:Summary statistics of genome-wide association studies(GWAS)for 731 immune cell phenotypes(from GCST0001391 to GCST0002121)obtained from the GWAS catalog and GWAS data for knee osteoarthritis from the IEUGWAS database(ebi-a-GCST007090)were used.Inverse variance-weighted method,MR-Egger regression,weighted median method,weighted mode method,and simple mode method were employed to investigate the causal relationship between immune cells and knee osteoarthritis.Sensitivity analyses were conducted to assess the reliability of the Mendelian randomization results.Reverse Mendelian randomization analysis was also performed using the same methods. RESULTS AND CONCLUSION:The forward MR analysis indicated significant causal relationships(FDR<0.20)between knee osteoarthritis and four immune cell phenotypes,namely CD27 on CD24+CD27+in B cells(OR=1.026,P=0.000 26,Pfdr=0.18),CD33 on CD33dim HLA DR-in myeloid cells(OR=1.014,P=0.000 50,Pfdr=0.18),and CD45RA+CD28-CD8br%CD8br in Treg cells(OR=1.001,P=0.000 78,Pfdr=0.18),and PDL-1 on monocytes in mononuclear cells(OR=0.952,P=0.000 98,Pfdr=0.18).These immune cell phenotypes showed direct positive or negative causal associations with the risk of knee osteoarthritis.Reverse Mendelian randomization analysis revealed no significant causal relationships(FDR<0.20)between knee osteoarthritis as exposure and any of the 731 immune cell phenotypes.The results of sensitivity analysis show that the P-values of the Cochran's Q test and the MR-Egger regression method for bidirectional Mendelian randomization were both greater than 0.05,indicating that there is no significant heterogeneity and pleiotropy in the causal effect analysis between immune cell phenotypes and knee osteoarthritis.To conclude,there may be four potential causal relationships between immune cell phenotypes,such as CD27 on CD24+CD27+cells,CD33 on CD33dim HLA DR-cells,CD45RA+CD28-CD8br%CD8br cells,and PDL-1 on monocytes,and knee osteoarthritis.These findings provide valuable clues for studying the biological mechanisms of knee osteoarthritis and exploring early prevention and treatment strategies.They also offer new directions for the development of intervention drugs.

To compare the clinical efficacy of intralesional corticosteroid injection combined with topical corticosteroids versus topical corticosteroids alone in patients with idiopathic granulomatous mastitis (IGM).

OBJECTIVE: To summarize the clinical characteristics of foot and ankle deformities combined with knee and lower limb deformities and evaluate the advantages, clinical outcomes, and considerations of QIN Sihe's surgical strategy for treating such complex deformities. METHODS: Between January 2022 and December 2024, 32 patients with foot and ankle deformities combined with knee and lower limb deformities were enrolled. The cohort included 23 males and 9 females, aged 10-67 years (mean, 41.1 years). The main etiologies included post-polio sequelae (20 cases) and congenital limb deformities (3 cases). Deformities were categorized as follows: equinovarus foot (12 cases), equinus foot (2 cases), equinovalgus foot (3 cases), equinus foot with swan-neck deformity (2 cases), calcaneus foot (5 cases), foot valgus (2 cases), knee flexion deformity (14 cases), genu recurvatum (4 cases), genu varum (3 cases), genu valgum (3 cases), lower limb shortening (3 cases), and lower limb external rotation (6 cases). QIN Sihe's surgical strategies included osteotomies, tendon releases, and tendon transfers for deformity correction, followed by external fixation for residual deformity adjustment and stabilization. Outcomes were assessed using QIN Sihe's Postoperative Evaluation Criteria for Lower Limb (Foot and Ankle) Deformity Correction and Functional Reconstruction. RESULTS: All patients were followed up 8-32 months (mean, 16.5 months). Complications included pin tract infection (1 case, 1 site), ankle pain (2 cases), delayed healing at the proximal tibial osteotomy site (1 case), and anterior talar dislocation (1 case). At last follow-up, insufficient correction of foot deformity was observed in 1 case; both knee and lower limb deformities were corrected, with only mild recurrence of knee flexion deformity in 1 case. The foot/ankle and knee joint function improved. Based on QIN Sihe's Postoperative Evaluation Criteria for Lower Limb (Foot and Ankle) Deformity Correction and Functional Reconstruction, outcomes were rated as excellent in 30 cases and good in 2 cases, with an excellent-good rate of 100%. CONCLUSION Foot and ankle deformities combined with knee and lower limb deformities are complex, QIN Sihe's surgical strategy can achieve satisfactory clinical outcomes for simultaneous correction.
Humans ; Male ; Female ; Adult ; Middle Aged ; Child ; Adolescent ; Aged ; Treatment Outcome ; Young Adult ; Plastic Surgery Procedures/methods* ; Lower Extremity Deformities, Congenital/surgery* ; Osteotomy/methods* ; Foot Deformities, Congenital/surgery* ; Ankle Joint/surgery* ; Knee Joint/surgery* ; Foot Deformities/surgery*

The armadillo repeat containing 5 (ARMC5) gene is part of a family of protein-coding genes that are rich in armadillo repeat sequences, are ubiquitously present in eukaryotes, and mediate interactions between proteins, playing roles in various cellular processes. Current research has demonstrated that reduced expression or absence of the ARMC5 gene in various tumor tissues can lead to uncontrolled cell proliferation, thereby inducing a range of diseases. The ARMC5 gene was initially extensively studied in the context of bilateral macronodular adrenocortical disease (BMAD), with harmful pathogenic variants in ARMC5 identified in approximately 50% of BMAD patients. With advancing research, scientists have discovered that ARMC5 pathogenic variants may also have potential effects on other diseases and could be associated with increased susceptibility to certain cancers. This review aims to present the latest research progress on how the ARMC5 gene plays its role in tumors. It outlines the basic structure of ARMC5 and the regions where it functions, as well as the diseases currently proven to be associated with ARMC5. Moreover, some evidence suggests its relation to embryonic development and the regulation of immune system activity. In conclusion, the ARMC5 gene is a crucial focal point in genetic and medical research. Understanding its function and regulation is of great importance for the development of new therapeutic strategies related to diseases associated with its pathogenic variants.
Humans ; Neoplasms/genetics* ; Armadillo Domain Proteins/genetics* ; Animals ; Genetic Predisposition to Disease ; Cytoskeletal Proteins/genetics* ; Tumor Suppressor Proteins/genetics*

Objective:To evaluate the efficacy of lumbar cisterna drainage(LCD) in treating paraplegia after thoracic endovascular aortic repair(TEVAR) for acute aortic dissection.Methods:A retrospective descriptive study was used to analyze 4 patients with aortic dissection who developed paraplegia after transthoracic aortic stent graft repair (TEVAR) admitted to Beijing Friendship Hospital Affiliated to Capital Medical University from May 2015 to May 2022. There were 3 males and 1 females, aged between 38 and 65 years old. All patients with paraplegia after TEVAR were treated with LCD. Follow-up was carried out by outpatient and telephone for 12 months. The imaging indicators and clinical efficacy were observed.Results:Two patients were fully recovered before discharge, one patient was completely recovered by about 3 months after surgery, and one patient still had reduced sensation and grade 4 muscle strength at 12 months of follow-up. The CT angiography of all 4 patients did not show any evidence of endoleak, and there was no enlargement of the distal dissecting aneurysm.Conclusion:Lumbar cisterna drainage can alleviate or cure paraplegia caused by spinal cord ischemia after TEVAR for acute aortic dissection.

Objective:To clarify the transitional components in the blood of compound Banlangen Granules; To explore the mechanism of drugs in the treatment of epidemic encephalitis B, hepatitis and parotitis.Methods:The transitional components in blood of compound Banlangen Granules were analyzed by ultra-high performance liquid chromatography-mass spectrometry (UPLC-MS/MS). The regulatory targets and pathways of compound Banlangen Granules in the treatment of epidemic encephalitis B, hepatitis and parotitis were analyzed based on UPLC-MS/MS and network pharmacology.Results:A total of 9 blood components were identified, of which 8 were prototype components, including sucrose, o-aminobenzoic acid, uridine, adenosine, guanosine, indole-3-acetonitrile-2 murine-S-β-D-glucopyranoside and salicylic acid. Through network pharmacological analysis, it was concluded that compound Banlangen Granules may treat epidemic encephalitis B, hepatitis and parotitis by regulating lipid and atherosclerosis, insulin resistance, IL-17 and other signal pathways.Conclusion:The 9 blood components of compound Banlangen Granules may treat epidemic encephalitis B, hepatitis and parotitis by regulating lipid and atherosclerosis, insulin resistance, IL-17 and other signal pathways.

Hormonal receptor positive human epidermal receptor 2 negative (HR⁺/HER2^-) is the commonest molecular subtype of breast cancer (BC). Patients with HR⁺/HER2^- BC may manifest clinically a late recurrence whose BC metastasizes 10-15 years post-operatively. We report one case who presented with pulmonary mass in upper lobe of lung and Horner syndrome 16 years after BC surgery. FDG PET/CT suggested pulmonary malignancy but could not differentiate between primary or metastatic cancer when invasive biopsy was quite risky. Novel ¹⁸F-FES PET/CT facilitated the non-invasive functional diagnosis of estrogen-receptor positive (ER+) pulmonary metastasis of BC, and the patient experienced partial response (PR) after CDK4/6 inhibitor and aromatase inhibitor as endocrine therapy. This article reviews the diagnosis and treatment process of this case, to provide guidance for non-invasive global evaluation of ER status among metastatic HR⁺/HER2^- BC patients with ¹⁸F-FES PET/CT.

BACKGROUND:Rapid developments in the field of bioinformatics have provided new methods for the diagnosis of osteoarthritis.Artificial neural networks have powerful data computing and classification capabilities,which have shown better performance in disease diagnosis. OBJECTIVE:To establish a new diagnostic predictive model of osteoarthritis based on artificial neural network and to verify the diagnostic value of the model in osteoarthritis with an external dataset. METHODS:The eligible osteoarthritis-related data sets were downloaded through GEO database search and divided into Train group and Test group.The gene expression matrix of the Train group was analyzed to screen the differentially expressed genes.GO and KEGG enrichment analyses were performed on the differentially expressed genes.Through Lasso regression model,support vector machine model and random forest tree model,the key genes of osteoarthritis were further identified from the differentially expressed genes.The R software"Neuralnet"package was then used to construct the osteoarthritis diagnosis model based on artificial neural network,and the model performance was evaluated by the five-fold cross-validation.Two independent data sets in the Test group were used to verify their diagnostic results. RESULTS AND CONCLUSION:A total of 90 differentially expressed genes related to osteoarthritis were obtained by differential analysis,of which 33 were down-regulated and 57 were up-regulated.GO enrichment analysis showed that the differentially expressed genes were mainly involved in the following biological processes,including leukocyte-mediated immunity,leukocyte migration in bone marrow and chemokine production.KEGG enrichment analysis showed that these genes were mainly enriched in rheumatoid arthritis,interleukin-17 signaling pathway and osteoclast differentiation pathway.Five key genes for the diagnosis of osteoarthritis,HMGB2,GADD45A,SLC19A2,TPPP3 and FOLR2,were identified by three machine learning methods.The artificial neural network model of five key genes in the Train group showed that the accuracy was 96.36%and the area under the curve was 0.997.The five-fold cross validation of the neural network model showed that the average area under the curve was greater than 0.9 and the model was of robustness.Two independent data sets in the Test group showed its area under the curve was 0.814 and 0.788 respectively.Therefore,the establishment of an artificial neural network model for the diagnosis of osteoarthritis has a certain diagnostic value.

BACKGROUND:Rheumatoid arthritis is a chronic systemic autoimmune disease.It is important to study the immunological changes involved in it for diagnosis and treatment. OBJECTIVE:To identify immune-related biomarkers associated with rheumatoid arthritis utilizing bioinformatics techniques and examine alterations in immune cell infiltration as well as the relationship between immune cells and biomarkers. METHODS:Differential expression analysis was used to identify the immune-related genes that were up-regulated in rheumatoid arthritis based on the GEO and Immport databases.Kyoto encyclopedia of genes and genomes(KEGG)and gene ontology(GO)enrichment analyses were used to investigate the possible function of these elevated genes.The immunological characteristic genes associated with rheumatoid arthritis were screened using least absolute shrinkage and selection operator(Lasso)and support vector machine recursive feature elimination(SVM-RFE).Independent datasets were used for difference validation,and the diagnostic performance was evaluated by plotting receiver operating characteristic curves for feature genes.Immune cell infiltration was used to analyze the differential profile of immune cells in rheumatoid arthritis and the correlation between the characterized genes and immune cells.In order to ascertain the causal relationship between monocytes and rheumatoid arthritis in immune cells,Mendelian randomization analysis was ultimately employed. RESULTS AND CONCLUSION:There were 39 upregulated differentially expressed genes in rheumatoid arthritis.The genes were primarily enriched in chemotaxis,cytokine activity,and immune receptor activity,according to GO enrichment analysis,while kEGG enrichment analysis revealed that the genes were considerably enriched in the tumor necrosis factor signaling pathway and peripheral leukocyte migration.Lasso and SVM-RFE identified five feature genes:CXCL13,SDC1,IGLC1,PLXNC1,and SLC29A3.Independent dataset validation of the feature genes found them to be similarly highly expressed in rheumatoid arthritis samples,with area under the curve values greater than 0.8 for all five feature genes in both datasets.Immune cell infiltration indicated that most immune cells,including natural killer cells and monocytes,exhibited increased levels of infiltration in rheumatoid arthritis samples.The correlation analysis revealed a significant positive correlation between memory B cells and immature B cells and these five feature genes.Correlation analysis showed that the five feature genes were positively correlated with memory B cells and immature B cells.The inverse variance weighting method revealed that monocytes were associated with the risk of developing rheumatoid arthritis.

Objective This study aims at establishing a teaching catalog and content for breast rare dis-eases and developing the syllabus for the breast rare disease using integrated multimodality of case-/problem-/resource-based learning(CBL+PBL+RBL).Methods By conducting bibliometrics co-occurrence analysis,we collected 6291 articles on breast rare disease published from January,1975 to June,2024.Additionally,we re-trieved the Textbook on Rare Diseases,the Catalog of Chinese Rare Disease,and Second Batch of Rare Dis-ease Catalog and then decided the teaching content.Results From 16,387 keywords,1000(6.1％)keywords were identified through co-occurrence analysis,including 50(0.3％)candidate diseases.These were classified into three categories:rare primary breast diseases,rare genetic mutation-related diseases associated with breast cancer,and rare systemic multi-system diseases involving the breast.From the candidate list,20(0.1％)rare primary breast diseases were further selected for their notable clinical teaching significance,and significant multi-systemic diseases affecting the breast,whether related to gene mutations or not.Teaching plans were draf-ted using a diversified parallel teaching approaches,taking into account the characteristics of different diseases and the focus of different teaching methods.Conclusions This study initiated the development of the teaching content for breast rare diseases and developed the teaching syllabus using the CBL+PBL+RBL integrated multi teaching model and targeting each rare breast disease for the critical point for teaching.