OBJECTIVE To conduct a reevaluation of the systematic review （SR）/meta-analysis on the use of Xianling gubao capsules （XLGBC） for knee osteoarthritis （KOA）， and provide evidence-based support for the clinical use of the drugs. METHODS Computerized searches including CNKI， Wanfang Data， VIP， China Biomedical Literature Database， the Cochrane Library， PubMed， Embase and Web of Science were conducted to collect systematic reviews （SR） or meta-analyses of XLGBC for the treatment of KOA from the inception to May 31st， 2024. The report quality， methodological quality， risk of bias and evidence quality were assessed using the PRISMA 2020 statement， AMSTAR 2 scale， ROBIS tool and GRADE tool， respectively. A comprehensive quality analysis of the quantitative results from the SR/meta-analysis was also performed. RESULTS A total of five SR/meta-analyses were included. The evaluation results based on the PRISMA 2020 statement showed that one study report was relatively complete （21 points）， while four studies had deficiencies （18-20 points）. The assessment using the AMSTAR 2 scale indicated that the methodological quality of all five studies was rated as very low. According to the ROBIS tool evaluation， the risk of comprehensive bias in all five studies was classified as high. GRADE tool evaluation revealed that among 49 outcome indicators， 5 （10.2%） were rated as moderate-quality evidence （10.2%）， 12 as low-quality evidence （24.5%）， and 32 as very low-quality evidence （65.3%）. The results of comprehensive quality analysis showed that the clinical efficacy， visual analogue scale score， pain relief time， comprehensive indexes of knee joint function， the levels of inflammatory factors and the incidence of adverse events in patients with XLGBC combined with conventional treatment were significantly better than conventional treatment alone （P＜0.05）. CONCLUSIONS Compared with conventional treatment， XLGBC in combination with conventional treatment for KOA may have some efficacy and safety advantages. However， due to the low quality of evidence for the outcome indicators included in the studies， the conclusions should be interpreted with caution.

OBJECTIVE To conduct a reevaluation of the systematic review （SR）/meta-analysis on the use of Xianling gubao capsules （XLGBC） for knee osteoarthritis （KOA）， and provide evidence-based support for the clinical use of the drugs. METHODS Computerized searches including CNKI， Wanfang Data， VIP， China Biomedical Literature Database， the Cochrane Library， PubMed， Embase and Web of Science were conducted to collect systematic reviews （SR） or meta-analyses of XLGBC for the treatment of KOA from the inception to May 31st， 2024. The report quality， methodological quality， risk of bias and evidence quality were assessed using the PRISMA 2020 statement， AMSTAR 2 scale， ROBIS tool and GRADE tool， respectively. A comprehensive quality analysis of the quantitative results from the SR/meta-analysis was also performed. RESULTS A total of five SR/meta-analyses were included. The evaluation results based on the PRISMA 2020 statement showed that one study report was relatively complete （21 points）， while four studies had deficiencies （18-20 points）. The assessment using the AMSTAR 2 scale indicated that the methodological quality of all five studies was rated as very low. According to the ROBIS tool evaluation， the risk of comprehensive bias in all five studies was classified as high. GRADE tool evaluation revealed that among 49 outcome indicators， 5 （10.2%） were rated as moderate-quality evidence （10.2%）， 12 as low-quality evidence （24.5%）， and 32 as very low-quality evidence （65.3%）. The results of comprehensive quality analysis showed that the clinical efficacy， visual analogue scale score， pain relief time， comprehensive indexes of knee joint function， the levels of inflammatory factors and the incidence of adverse events in patients with XLGBC combined with conventional treatment were significantly better than conventional treatment alone （P＜0.05）. CONCLUSIONS Compared with conventional treatment， XLGBC in combination with conventional treatment for KOA may have some efficacy and safety advantages. However， due to the low quality of evidence for the outcome indicators included in the studies， the conclusions should be interpreted with caution.

Keratoconus(KC)is a blinding eye disease caused by a variety of factors, with its pathogenesis still not well understood. In recent years, it has been discovered that sex hormones and prolactin-induced protein(PIP)have a profound impact on the cornea, with more noticeable changes when there are abnormalities in their body content. It has been found that various sex hormone receptors are distributed in the cornea. Based on this, this article reviews a multitude of studies on how sex hormones and PIP affect the cornea, along with relevant clinical research. It has been observed that sex hormones and PIP also play a role in KC patients and influence the occurrence and progression of KC. Additionally, it has been noted that pregnant and lactating women may be more susceptible to KC. Sex hormones and PIP have the potential to become new diagnostic and therapeutic targets. This article not only provides new insights but also offers important references for clinical practice.

Keratoconus(KC)is a blinding eye disease caused by a variety of factors, with its pathogenesis still not well understood. In recent years, it has been discovered that sex hormones and prolactin-induced protein(PIP)have a profound impact on the cornea, with more noticeable changes when there are abnormalities in their body content. It has been found that various sex hormone receptors are distributed in the cornea. Based on this, this article reviews a multitude of studies on how sex hormones and PIP affect the cornea, along with relevant clinical research. It has been observed that sex hormones and PIP also play a role in KC patients and influence the occurrence and progression of KC. Additionally, it has been noted that pregnant and lactating women may be more susceptible to KC. Sex hormones and PIP have the potential to become new diagnostic and therapeutic targets. This article not only provides new insights but also offers important references for clinical practice.

Research on IgG4-related disease (IgG4-RD), an autoimmune condition recognized to be a unique disease entity only two decades ago, has processed from describing patients' symptoms and signs to summarizing its critical pathological features, and further to investigating key pathogenic mechanisms. Challenges in gaining a better understanding of the disease, however, stem from its relative rarity-potentially attributed to underrecognition-and the absence of ideal experimental animal models. Recently, with the development of various high-throughput techniques, "omics" studies at different levels (particularly the single-cell omics) have shown promise in providing detailed molecular features of IgG4-RD. While, the application of omics approaches in IgG4-RD is still at an early stage. In this paper, we review the current progress of omics research in IgG4-RD and discuss the value of machine learning methods in analyzing the data with high dimensionality.
Humans ; Immunoglobulin G4-Related Disease/metabolism* ; Immunoglobulin G/metabolism* ; Machine Learning ; Animals ; Proteomics/methods*

Background::Pulmonary embolism (PE) is a severe and acute cardiovascular syndrome with high mortality among patients with autoimmune inflammatory rheumatic diseases (AIIRDs). Accurate prediction and timely intervention play a pivotal role in enhancing survival rates. However, there is a notable scarcity of practical early prediction and risk assessment systems of PE in patients with AIIRD.Methods::In the training cohort, 60 AIIRD with PE cases and 180 age-, gender-, and disease-matched AIIRD non-PE cases were identified from 7254 AIIRD cases in Tongji Hospital from 2014 to 2022. Univariable logistic regression (LR) and least absolute shrinkage and selection operator (LASSO) were used to select the clinical features for further training with machine learning (ML) methods, including random forest (RF), support vector machines (SVM), neural network (NN), logistic regression (LR), gradient boosted decision tree (GBDT), classification and regression trees (CART), and C5.0 models. The performances of these models were subsequently validated using a multicenter validation cohort.Results::In the training cohort, 24 and 13 clinical features were selected by univariable LR and LASSO strategies, respectively. The five ML models (RF, SVM, NN, LR, and GBDT) showed promising performances, with an area under the receiver operating characteristic (ROC) curve (AUC) of 0.962-1.000 in the training cohort and 0.969-0.999 in the validation cohort. CART and C5.0 models achieved AUCs of 0.850 and 0.932, respectively, in the training cohort. Using D-dimer as a pre-screening index, the refined C5.0 model achieved an AUC exceeding 0.948 in the training cohort and an AUC above 0.925 in the validation cohort. These results markedly outperformed the use of D-dimer levels alone.Conclusion::ML-based models are proven to be precise for predicting the onset of PE in patients with AIIRD exhibiting clinical suspicion of PE.Trial Registration::Chictr.org.cn: ChiCTR2200059599.

Objective To investigate the causal relationship between gut microbiota and pigmented villonodular synovitis using Mendelian randomization analysis.Methods We conducted a two-sample Mendelian randomization analysis to investigate the causal relationship between 211 gut microbiome taxa and pigmented villonodular synovitis based on GWAS summary data,with inverse variance weighted(IVW)analysis as the primary result and the other methods as supplementary analyses.The reliability of the results was tested using Cochran's Q test,MR-Egger regression,MR-PRESSO method and conditional Mendelian randomization analysis(cML-MA).Results The increased abundance of Barnesiella(OR=3.12,95%CI:1.15-8.41,P=0.025)and Rumatococcaceae UCG010(OR=4.03,95%CI:1.19-13.68,P=0.025)may increase the risk of pigmented villous nodular synovitis,and elevated abundance of Lachnospiraceae(OR=0.33,95%CI:0.12-0.91,P=0.032),Alistipes(OR=0.16,95%CI:0.05-0.53,P=0.003),Blautia(OR=0.20,95%CI:0.06-0.61,P=0.005),and Lachnospiraceae FCS020 group(OR=0.38,95%CI:0.15-0.94,P=0.036)and Ruminococcaceae UCG014(OR=0.36,95%CI:0.14-0.94,P=0.037)were all associated with a reduced risk of pigmented villonodular synovitis,which were supported by the results of sensitivity analyses.Reverse Mendelian randomization analysis did not reveal any inverse causal association.Conclusion Increased abundance of specific intestinal microorganisms is associated with increased or decreased risks of developing hyperpigmented villonodular synovitis,and gut microbiota plays an important role in the pathogenesis of this disease.

Objective To investigate the causal relationship between gut microbiota and pigmented villonodular synovitis using Mendelian randomization analysis.Methods We conducted a two-sample Mendelian randomization analysis to investigate the causal relationship between 211 gut microbiome taxa and pigmented villonodular synovitis based on GWAS summary data,with inverse variance weighted(IVW)analysis as the primary result and the other methods as supplementary analyses.The reliability of the results was tested using Cochran's Q test,MR-Egger regression,MR-PRESSO method and conditional Mendelian randomization analysis(cML-MA).Results The increased abundance of Barnesiella(OR=3.12,95%CI:1.15-8.41,P=0.025)and Rumatococcaceae UCG010(OR=4.03,95%CI:1.19-13.68,P=0.025)may increase the risk of pigmented villous nodular synovitis,and elevated abundance of Lachnospiraceae(OR=0.33,95%CI:0.12-0.91,P=0.032),Alistipes(OR=0.16,95%CI:0.05-0.53,P=0.003),Blautia(OR=0.20,95%CI:0.06-0.61,P=0.005),and Lachnospiraceae FCS020 group(OR=0.38,95%CI:0.15-0.94,P=0.036)and Ruminococcaceae UCG014(OR=0.36,95%CI:0.14-0.94,P=0.037)were all associated with a reduced risk of pigmented villonodular synovitis,which were supported by the results of sensitivity analyses.Reverse Mendelian randomization analysis did not reveal any inverse causal association.Conclusion Increased abundance of specific intestinal microorganisms is associated with increased or decreased risks of developing hyperpigmented villonodular synovitis,and gut microbiota plays an important role in the pathogenesis of this disease.

Knee osteoarthritis （KOA） is a common degenerative joint disease characterized primarily by the degeneration and damage of knee joint cartilage， accompanied by osteophyte formation and inflammation. In recent years， the prevalence of KOA has been increasing globally， significantly impacting the quality of life patients. However， the pathogenesis of KOA remains not fully understood， and current treatment methods are limited. Therefore， finding new therapeutic strategies is a research hotspot. Previous studies have found that the onset of KOA is related to abnormal mitochondrial regulation. Mitochondria， functioning as secondary messengers， play crucial roles in cellular respiration， reactive oxygen species （ROS） generation， and adenosine triphosphate （ATP） production through oxidative phosphorylation. Mitochondrial quality control is a pivotal mechanism for maintaining the morphology， quantity， and quality of mitochondria. The connection between mitochondrial quality control and the pathogenesis of KOA involves several factors， such as mitochondrial oxidative stress， mitophagy， imbalances in mitochondrial biogenesis， abnormal mitochondrial dynamics （fission and fusion）， and dysregulation of calcium ions. Metabolic abnormalities in the body lead to mitochondrial structural damage， which in turn contributes to the onset and progression of KOA. Traditional Chinese medicine （TCM） has made some progress in intervening in mitochondrial quality control， employing multi-faceted， multi-pathway， and multi-target strategies to treat KOA. Several studies have shown that mitochondrial quality control may be one of the therapeutic targets of TCM in treating KOA. However， there is currently a lack of comprehensive reviews summarizing the TCM interventions in mitochondrial quality control for treating KOA. This paper systematically reviewed the research progress in TCM treatment of KOA based on five aspects of mitochondrial quality control， aiming to provide a theoretical basis for the clinical prevention and treatment of KOA.

Acute kidney injury （AKI） is a clinical syndrome characterized by a rapid decline in renal function over a short period due to various etiologic factors. If left untreated， AKI can progress to chronic kidney disease （CKD） or even end-stage renal disease （ESRD）. Although continuous renal replacement therapy （CRRT） can manage severe AKI， effective pharmacological treatments for AKI remain largely unavailable. Chinese medicine， with its multi-target and multi-pathway approaches， has accumulated substantial theoretical and practical knowledge in treating AKI and related complications. Rehmanniae Radix is a commonly used Chinese medicinal， known for its functions in clearing heat， cooling blood， nourishing yin， and promoting fluid production. The primary active ingredients of Rehmanniae Radix include catalpol， acteoside， and aucubin. In this study， we summarized recent research on the effect of the active ingredients of Rehmanniae Radix in preventing and treating AKI. We found that the key mechanisms underlying its anti-AKI effects include amelioration of inflammation， alleviation of oxidative stress， and inhibition of apoptosis. Additionally， the antifibrotic properties of the active ingredients of Rehmanniae Radix suggest its potential in slowing CKD progression. We reviewed the mechanisms of Rehmanniae Radix in treating AKI and its antifibrotic effects to provide a scientific basis for developing new AKI drugs， promoting the utilization of Rehmanniae Radix resources， and reducing the transition from AKI to CKD.