Rheumatoid arthritis(RA)is an autoimmune disease characterized by synovitis,synovial cell proliferation,neo-vascularization,and bone and cartilage destruction.Its pathogenesis is complex and has not yet been fully elucidated.A variety of cells,cytokines and signaling pathways are involved in the pathogenesis of RA.Hypoxia-inducing factor(HIF)and oxygen-sensing signaling pathway(PHD-HIF-VHL)are closely related to the occurrence and development of RA,and play an important role in syno-vial cell proliferation,inflammatory response and cartilage destruction.In this study,the research progress of oxygen sensing signaling pathway in RA was described from the aspects of the mechanism of oxygen sensing signaling pathway and its involvement in the patho-genesis of RA,in order to provide ideas and theoretical basis for the research of anti-RA drugs by targeting important molecules of oxy-gen sensing signaling pathway.

Objective:To investigate the technical application pathways of artificial intelligence(AI)in laboratory information management systems(LIMS)and its role in promoting laboratory management efficiency and intelli-gence.Methods:Through the integration of traditional AI technologies(e.g.,machine learning,computer vision)with large language models,this study demonstrated the application of various AI technologies in scenarios such as intelligent Q&A for local knowledge bases,comprehensive review of inspection processes,intelligent data visualization,and image recognition.Results:Through the implementation of AI applications in laboratory settings,AI significantly enhanced management efficiency:the intelligent Q&A system achieved over 90％accuracy,auto-mated inspection processes reduced manual workload by 40％,and image recognition precision reached 89％-100％.Conclusion:AI provides efficient and precise solutions for laboratory management via multimodal integration and process optimization.Future efforts should focus on strengthening data security and model interpret-ability to promote comprehensive intelligent development.

Objective:To characterize the bacterial communities present in the root apical regions associated with persistent apical periodontitis(PAP).Methods:6 periapical lesion samples were collected from the teeth with PAP.DNA was extracted and ampli-fied by PCR based on the V3-V4 region of 16S rRNA gene.Illumina high throughput sequencing was applied to achieve the infor-mation of microbial community.Results:In total,447 OTUs were assigned,the average number of OTUs for the samples was 164.83±56.24.The phyla Firmicutes,Actinobacteria,Bacteroidetes,Proteobacteria and Fusobacteria were detected with high rela-tive abundances in all samples.At the genus level,the prevalent bacterial genera were Bifidobacterium,Streptococcus,Bacillus,En-terococcus and Porphyromonas,which were abundantly detected in all samples.The 6 samples were divided into 2 groups by hierar-chical cluster analysis.Prevotella and Treponema were abundant in group A,Bifidobacterium,Streptococcus and Enterococcus were abundant in group B.Conclusion:The bacterial profiles of root apical region of the teeth with PAP can be illustrated that diverse bacterial communities located in apical lesions.The bacterial composition of PAP can be divided into 2 microbial pattern and the re-lationship between different bacteria may guide new strategies to control infection.

Rheumatoid arthritis(RA)is a chronic,systemic,autoimmune inflammatory disease.Bone destruction caused by RA is a key factor in disability,involving abnormal activation of immune cells,overproduction of inflammatory factors,and imbalances in bone remodeling process.Ferroptosis,a form of cell death associated with disturbed iron metabolism,inactivation of the antioxidant system and lipid peroxidation,plays a complex role in RA bone destruction.Traditional Chinese medicine(TCM),with its multi-targeted intervention properties,has shown significant potential and advantages in treatment of RA bone destruction.A variety of TCM can regulate the ferroptosis pathway and influence osteoblast function,which has an important role in slowing down RA bone destruction.This review focuses on the latest research progress in the regulation of ferroptosis pathway by TCM to alleviate RA bone destruction,aiming to provide new perspectives and theoretical basis for the treatment of RA bone destruction.

Rheumatoid arthritis(RA)is an autoimmune disease characterized by synovitis,synovial cell proliferation,neo-vascularization,and bone and cartilage destruction.Its pathogenesis is complex and has not yet been fully elucidated.A variety of cells,cytokines and signaling pathways are involved in the pathogenesis of RA.Hypoxia-inducing factor(HIF)and oxygen-sensing signaling pathway(PHD-HIF-VHL)are closely related to the occurrence and development of RA,and play an important role in syno-vial cell proliferation,inflammatory response and cartilage destruction.In this study,the research progress of oxygen sensing signaling pathway in RA was described from the aspects of the mechanism of oxygen sensing signaling pathway and its involvement in the patho-genesis of RA,in order to provide ideas and theoretical basis for the research of anti-RA drugs by targeting important molecules of oxy-gen sensing signaling pathway.

Rheumatoid arthritis(RA)is a chronic,systemic,autoimmune inflammatory disease.Bone destruction caused by RA is a key factor in disability,involving abnormal activation of immune cells,overproduction of inflammatory factors,and imbalances in bone remodeling process.Ferroptosis,a form of cell death associated with disturbed iron metabolism,inactivation of the antioxidant system and lipid peroxidation,plays a complex role in RA bone destruction.Traditional Chinese medicine(TCM),with its multi-targeted intervention properties,has shown significant potential and advantages in treatment of RA bone destruction.A variety of TCM can regulate the ferroptosis pathway and influence osteoblast function,which has an important role in slowing down RA bone destruction.This review focuses on the latest research progress in the regulation of ferroptosis pathway by TCM to alleviate RA bone destruction,aiming to provide new perspectives and theoretical basis for the treatment of RA bone destruction.

Objective:To characterize the bacterial communities present in the root apical regions associated with persistent apical periodontitis(PAP).Methods:6 periapical lesion samples were collected from the teeth with PAP.DNA was extracted and ampli-fied by PCR based on the V3-V4 region of 16S rRNA gene.Illumina high throughput sequencing was applied to achieve the infor-mation of microbial community.Results:In total,447 OTUs were assigned,the average number of OTUs for the samples was 164.83±56.24.The phyla Firmicutes,Actinobacteria,Bacteroidetes,Proteobacteria and Fusobacteria were detected with high rela-tive abundances in all samples.At the genus level,the prevalent bacterial genera were Bifidobacterium,Streptococcus,Bacillus,En-terococcus and Porphyromonas,which were abundantly detected in all samples.The 6 samples were divided into 2 groups by hierar-chical cluster analysis.Prevotella and Treponema were abundant in group A,Bifidobacterium,Streptococcus and Enterococcus were abundant in group B.Conclusion:The bacterial profiles of root apical region of the teeth with PAP can be illustrated that diverse bacterial communities located in apical lesions.The bacterial composition of PAP can be divided into 2 microbial pattern and the re-lationship between different bacteria may guide new strategies to control infection.

Objective:To investigate the technical application pathways of artificial intelligence(AI)in laboratory information management systems(LIMS)and its role in promoting laboratory management efficiency and intelli-gence.Methods:Through the integration of traditional AI technologies(e.g.,machine learning,computer vision)with large language models,this study demonstrated the application of various AI technologies in scenarios such as intelligent Q&A for local knowledge bases,comprehensive review of inspection processes,intelligent data visualization,and image recognition.Results:Through the implementation of AI applications in laboratory settings,AI significantly enhanced management efficiency:the intelligent Q&A system achieved over 90％accuracy,auto-mated inspection processes reduced manual workload by 40％,and image recognition precision reached 89％-100％.Conclusion:AI provides efficient and precise solutions for laboratory management via multimodal integration and process optimization.Future efforts should focus on strengthening data security and model interpret-ability to promote comprehensive intelligent development.

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.

Rheumatoid arthritis(RA)is a chronic and progressive autoimmune disease.Current clinical treatments for RA often exhibit inadequate drug responses and severe adverse effects,underscoring the necessity for alternative therapies.Baicalin,a flavonoid derived from Scutellaria baicalensis roots,possesses anti-inflammatory,antioxidant,and immunomodulatory properties.Research suggests that baicalin can inhibit the release of inflamma-tory mediators,thereby reducing inflammation.Moreover,it demonstrates antioxidant effects by decreasing reactive oxygen species production and mitigating synovial damage induced by oxidative stress.Baicalin may impede the activation of inflammatory cytokines through pathways such as NF-κB,MAPKs,and JAK-STAT signaling cascades while inducing apoptosis,regulating immune cell activity,and balancing immune mediators to impact synovitis progression.Clinically,both monotherapy with baicalin or its combination with other formulations have exhibited efficacy and safety profiles.The advancement in targeted drug delivery systems has improved its bioavailability further suggesting promising clinical applications.This review provides an overview of research progress on baicalin's mechanisms in inhibiting RA synovitis along with its clinical applications.