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*

Objective To explore the biological functions of pyroptosis-related genes in pneumonic plague using bioinformatics methods,and to evaluate their potential applicability as diagnostic markers.Methods The pneumonic plague-related dataset GSE220123 was retrieved from the Gene Expression Omnibus(GEO)database and screened for differentially expressed pyroptosis-related genes(DE-PRGs).The functions of DE-PRGs were studied via Gene Ontology(GO),Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment analyses,and immune infiltration analysis.The hub genes were identified via protein-protein interaction(PPI)network analysis,and further screened for key genes with sustained high expression characteristics based on differential expression analysis.The relative expression levels of the key genes were verified using the reverse transcription real-time quantitative PCR(qPCR)method.Results A total of 17 DE-PRGs were screened,and PPI network analysis revealed 7 Hub genes.Among them,Casp4 continued to be up-regulated during the course of pneumonic plague.The results of reverse transcription qPCR were consistent with the those of bioinformatic analyses.Conclusion DE-PRGs play a crucial role in the immune response of pneumonic plague,especially Casp4,which has significant applications as a diagnostic biomarker and potential therapeutic target for pneumonic plague.

BACKGROUND:In recent years,there have been many studies on the mechanism of exosomal non-coding RNA in gestational diabetes mellitus,but there is a lack of the latest systematic review of exosomes from different sources,especially placental sources. OBJECTIVE:To summarize the changes and potential roles of microRNA(miRNA),long non-coding RNA(lncRNA),circular RNA(circRNA),and exosomes in gestational diabetes mellitus to provide potential targets for early screening and treatment of clinical gestational diabetes mellitus. METHODS:A literature search was conducted on PubMed,Web of Science,China National Knowledge Infrastructure,WanFang Data,and VIP databases to retrieve relevant articles on non-coding RNA or exosomal non-coding RNA in relation to gestational diabetes mellitus.A total of 74 articles were included for review. RESULTS AND CONCLUSION:(1)Non-coding RNAs play important pathological and physiological roles in the lifecycle activities,and increasing evidences suggest that non-coding RNAs are involved in the occurrence and development of gestational diabetes mellitus by regulating various physiological functions.This provides a new direction for the research of gestational diabetes mellitus.(2)Exosomes are widely present in the human body.Various cells can secrete exosomes,such as red blood cells,epithelial cells,and placental cells.Non-coding RNAs found in exosomes from different sources have been demonstrated to play a role in the pathogenesis,diagnosis,and treatment of gestational diabetes mellitus.(3)MiRNA and gestational diabetes mellitus:The role of peripheral blood miRNA in gestational diabetes mellitus is mainly to affect the functions of trophoblast cells,pancreatic beta cells and blood glucose levels in gestational diabetes mellitus;placental miRNA can reflect the severity of gestational diabetes and impair the function of trophoblast cells.(4)LncRNA and gestational diabetes mellitus:Peripheral blood lncRNA can induce insulin resistance through the phosphatidylinositol 3-kinase/protein kinase B pathway and may provide new insights for the diagnosis and treatment of gestational diabetes mellitus;placental lncRNA can regulate proliferation and migration of placental trophoblast cells,promoting the occurrence and development of gestational diabetes mellitus.(5)CircRNA and gestational diabetes mellitus:Peripheral blood and placental circRNA can induce the occurrence and development of gestational diabetes mellitus by impairing the proliferation,migration and metabolism of placental trophoblast cells.(6)Non-coding RNA in exosomes and gestational diabetes mellitus:Peripheral blood non-coding RNA in exosomes can affect gestational diabetes mellitus blood glucose levels and glucose homeostasis,and participate in the occurrence and development of gestational diabetes mellitus by influencing placental function.(7)Non-coding RNA has the potential to serve as biomarkers for early diagnosis of gestational diabetes mellitus.Additionally,engineered exosomes can better achieve targeted therapy for gestational diabetes mellitus.These latest findings provide a reference for both basic research and clinical translation of gestational diabetes mellitus.(8)In the future,improvements in the extraction and purification methods of peripheral blood exosomes should be improved,and factors such as race,diet and physical activity should be excluded to improve the reproducibility of results.Further prospective clinical studies are required to explore the clinical application of circulating non-coding RNA and exosomes in the prediction and diagnosis of gestational diabetes mellitus.

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.

Humans ; Lupus Vasculitis, Central Nervous System/pathology* ; Magnetic Resonance Imaging/methods* ; Diffusion Tensor Imaging/methods* ; Patients ; Lupus Erythematosus, Systemic/pathology* ; Brain/pathology*

Objective To construct a rational and efficient bed resource allocation management model to reduce pre-hos-pital waiting times,ensure patient safety,and improve satisfaction.Methods Based on lean management principles,a bed re-source allocation management model was developed and continuously optimized.The study compared bed turnover rates and effi-ciency indices,as well as preoperative waiting times for surgical patients,average length of stay,patient satisfaction,and anxiety incidence before and after the implementation of the lean model to evaluate its effectiveness.Results After implementing the lean bed resource allocation model,the bed efficiency index increased by 14.29％,and bed turnover rates improved by 3.34％.The average preoperative waiting time for surgical patients decreased by 100％,and the average length of stay reduced by 87.71％.Patient satisfaction increased by 2.4％,while anxiety incidence dropped by 28.1％.Conclusion The implementa-tion of a lean bed resource allocation model can enhance hospital bed efficiency,shorten preoperative waiting times for surgical patients,reduce average length of stay,and improve patient satisfaction.

OBJECTIVE To provide standardized guidance for the clinical application and management of biosimilars， and promote their widespread and rational use in clinical treatment. METHODS The design， planning， and drafting process as well as the full report of Evidence-based Guideline for the Management of Clinical Application of Biosimilars in China （2024 Edition） followed the WHO Handbook for Guideline Development （2nd edition）， which fully considered the best current evidence from evidence-based medicine， multidisciplinary expert experience， and patient preferences and values. Grading of Recommendations Assessment， Development， and Evaluation （GRADE） approach was adopted to evaluate the quality of evidence and determine the strength of recommendations. RESULTS & CONCLUSIONS Evidence-based Guideline for the Management of Clinical Application of Biosimilars in China （2024 Edition） presented 10 recommendations including 7 strong recommendations and 3 weak recommendations. The recommendations covered the entire process of clinical application and management of biosimilars. Medical institutions and relevant health regulatory departments can refer to this guideline for the scientific management of the extrapolation of unapproved indications of biosimilars. Healthcare providers can refer to this guideline for pre-treatment assessments， patient education， pre-treatment regimen before administration， and dosage regimen adjustments. Multidisciplinary medical teams can refer to this guideline to provide pharmacovigilance and patient management throughout the treatment process.

To investigate the promoting effect of insulin-like growth factor 2(IGF-2)on cancer by mediating Treg immune activity in rats with gastric cancer,total of 40 healthy male SD rats were selected and subcutaneously inoculated with gastric cancer SGC-7901 cell line in the right axilla to establish a gastric cancer model.The model rats were randomly divided into a model group,a low-dose group(25 μg/kg IGF-2),a medium dose group(50 μg/kg IGF-2)and a high-dose group(100 μg/kg IGF-2),with 10 rats in each group.After continuous 14 days of administration,the tumor volume,tumor mass,thymus and spleen weight of rats in the 4 groups were observed and recorded for calculate tumor inhibition rate,thymus index and spleen index.Furthermore,Treg and Th17 levels in blood were detected by flow cytometry,tumor histopathological morphology was observed by hematoxylin-eosin staining,the apoptosis of gastric cancer cells was detected by TUNEL,and the expression of PI3K/Akt signaling pathway in tumor tissues of rats in 4 groups were detected by Western blotting.Data showed that the spleen index and thymus index of each dose group were lower than those of the model group,and showed a significant decreasing trend with the increase of the dosage,while the tumor promotion rate showed an increasing trend(P<0.05).Compared with the model group,IGF inhibited the apoptosis rate of cancer cells in each dose group in a dose-dependent manner(P<0.05).With the increase of IGF-2 dose,Treg,Th17 and Treg/Th17 all increased significantly(P<0.05)in IGF groups.The expression levels of p-Akt and CYP19A1 proteins in different dose groups were higher than those in the model group.As the dosage increased,the expression levels of p-Akt and CYP19A1 proteins showed a significant increase trend(P<0.05).Taken together,IGF-2 can promote tumor growth in gastric cancer rats,and its mechanism may relate to disrupting the immune function balance of Treg/Th17 cells through up-regulation of PI3K/Akt signaling pathway,thus inhibiting tumor cell apoptosis.

Subclinical seizures (SCS) are paroxysmal electroencephalogram (EEG) events that do not accompany obvious subjective or objective behavioral changes. They are not uncommon in EEG monitoring, with an intracranial EEG detection rate of about 50%-60%, significantly higher than the scalp EEG detection rate of about 10%. SCS most frequently occur in patients with temporal lobe epilepsy. In terms of EEG characteristics, SCS often remain confined to the epileptogenic zone but can also spread outside of it. Their value in localizing the epileptogenic zone is comparable to that of clinical seizures (CS). Additionally, the concordance between SCS and CS localization is associated with favorable surgical outcomes, indicating the significant value of SCS in focal epilepsy. A systematic review of domestic and international research on SCS is provided in this paper, aiming to enhance understanding in this area.

Hip fracture is considered as the most severe osteoporotic fracture characterized by high disability and mortality in the elderly. Improved surgical techniques and multidisciplinary team play an active role in alleviating prognosis, which places higher demands on perioperative nursing. Dysfunction, complications, and secondary impact of anaesthesia and surgery add more difficulties to clinical nursing. Besides, there still lack clinical practices in perioperative nursing for elderly patients with hip fracture in China. In this context, led by the Orthopedic Nursing Committee of Chinese Nursing Association, the Expert consensus on clinical practice in perioperative nursing for elderly patients with hip fracture ( version 2023) is developed based on the evidence-based medicine. This consensus provides 11 recommendations on elderly patients with hip fracture from aspects of perioperative health education, condition monitoring and inspection, complication risk assessment and prevention, and rehabilitation, in order to provide guiding advices for clinical practice, improve the quality of nursing and ameliorate the prognosis of elderly patients with hip fracture.