Osteoarthritis (OA), the most prevalent joint disease of late life, is closely linked to cellular senescence. Previously, we found that the senescence of fibroblast-like synoviocytes (FLS) played an essential role in the degradation of cartilage. In this work, single-cell sequencing data further demonstrated that cartilage acidic protein 1 (CRTAC1) is a critical secreted factor of senescent FLS, which suppresses mitophagy and induces mitochondrial dysfunction by regulating SIRT3 expression. In vivo, deletion of SIRT3 in chondrocytes accelerated cartilage degradation and aggravated the progression of OA. Oppositely, intra-articular injection of adeno-associated virus expressing SIRT3 effectively alleviated OA progression in mice. Mechanistically, we demonstrated that elevated CRTAC1 could bind with NRF2 in chondrocytes, which subsequently suppresses the transcription of SIRT3 in vitro. In addition, SIRT3 reduction could promote the acetylation of FOXO3a and result in mitochondrial dysfunction, which finally contributes to the degradation of chondrocytes. To conclude, this work revealed the critical role and underlying mechanism of senescent FLSs-derived CRTAC1 in OA progression, which provided a potential strategy for the OA therapy.

Objective:To analyze the operational efficiency of the oncology department in multi-campus hospital, providing reference for rational resource allocation and efficiency enhancement.Methods:A certaion tertiary grade A Hospital is a multi-campus public hospital with integrated management. This study focused on its oncology department, with 9 wards located in different campus as decision-making units. Data from 2020 to 2022 were extracted from the hospital′s medical records management system, disease diagnosis-related groups management system, and hospital information system. The super-efficiency DEA model and Malmquist index model were used to evaluate efficiency variations of the oncology department in different time slots and decision-making units. Identifying input redundancies and output deficiencies in wards not achieving constant returns to scale through projection value analysis. Selecting the total number of medical staff and the actual total number of bed-days occupied as input indicators, while bed utilization rate, discharge rate, and case mix index as output indicators.Results:From 2020 to 2022, the wards with a DEA super-efficiency value greater than 1 were 0, 2, and 4, respectively, showing a gradual increase in overall efficiency. In 2022, wards S3, S4, S7, and S9 achieved constant returns to scale with super-efficiency values of 1.001, 1.005, 1.113, and 1.112, respectively. The other five wards had zero input redundancy, but some suffered from insufficient outputs. For example, wards S5 and S8 should increase their bed utilization rates by 5% and 4%, respectively. Wards S1 and S8 needed to increase their annual discharge numbers by 24% and 1%, respectively, while wards S2 and S6 should increase their annual case mix index by 21% and 20%, respectively. From 2020 to 2021, the Malmquist index of the oncology department was 0.959, while from 2021 to 2022 it rose to 1.030, and the Malmquist index of each ward was greater than 1.Conclusions:By implementing integrated management across multiple campus, the operational efficiency of the oncology department has been comprehensively improved. The use of the super efficient DEA-Malmquist index model to evaluate the operational efficiency of departments has practical significance.

Objective:To explore the application and potential optimization of the collaborative and competitive learning model in the Health Education course. Methods:Undergraduate medical students participating in Health Education course practice tasks were selected to conduct discussions and reach consensus according to research objectives based on the e fast anonymous consensus-forming tool (eFAST). The meeting records were analyzed for theme identification using the keyword classification method. Results:Nine medical students participated in eFAST discussions. The students considered the following five aspects as the most important for undertaking Health Education course practice tasks using the collaborative and competitive learning model: timely communication, problem evaluation, report content enrichment, reasonable task allocation within groups, and task topic selection by group members together. They also proposed suggestions on improvement of the assessment method, including teacher involvement in scoring, intra-group scoring based on inter-group scoring, all students participating in inter-group scoring, and using mobile applications for scoring and summarization. Conclusions:The collaborative and competitive learning model can be used in the teaching of Health Education, but further optimization is needed in course task design, implementation, reporting, and assessment.

Here,5 important pathogens carried by ticks in Maanshan City,Anhui Province,China were identified.In to-tal,642 ticks were collected from 13 villages around Maanshan City and identified by morphological and mitochondrial COI genes.The 16S rRNA gene of Francisella tularensis,ssrA gene of Bartonella,16S rRNA,ompA and ompB genes of Rickett-sia,16S rRNA and gltA genes of Anaplasma,and groEL and rpoB genes of Coxiella were sequenced.Reference sequences were retrieved from a public database.Phylogenetic trees were constructed with MEG A1 1.0 software.In total,36 Rickettsiae isolates were detected in 640 Haemaphysalis longicornis ticks,which included 20 isolates of Rickettsia heilongjian-gensis,16 of Candidatus Rickettsia jingxinensis,2 of Ana-plasma bovis,and 186 of Coxiella-like endosymbiont.R.hei-longjiangensis HY2 detected in this study and Anhui B8 strain,Ca.R.jingxinensis QL3 and those from Shanxi Prov-ince and Jiangsu Province,A.bovis JX4 and those from Shanxi Province were clustered on the same branch.Overall,17 ticks had combined infections and none of the 5 bacteria were detected in two Amblyomma testudinarium ticks.This is the first report of Ca.R.jingxinensis detected in H.longicornis ticks from Anhui Province.It is recommended that the two types of Rickettsia that cause spotted fever and A.bovis should be reported to local health authorities to initiate appropriate prevention and control measures.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.

Objective:To compare the diagnostic efficacy of 22 G fine needle aspiration (FNA) needles and 22 G end-cutting fine needle biopsy (FNB) needles for solid pancreatic lesion using both cytological and histological examination.Methods:Clinical data of 116 patients who underwent endoscopic ultrasound-guided fine needle aspiration/biopsy (EUS-FNA/FNB) at the Digestive Endoscopy Center of Ruijin Hospital, Shanghai Jiao Tong University School of Medicine from June 2022 to March 2023 were retrospectively analyzed. Sixty-three patients sampled with 22 G FNA needles were the FNA group, and 53 sampled with 22 G FNB needles were the FNB group. The diagnostic accuracy, sensitivity, specificity, positive predictive value, negative predictive value, and cytological and histological diagnostic yield of FNA needles and FNB needles for solid pancreatic lesions were compared.Results:There were no significant differences in age, gender, lesion location, lesion size, or the number of passes between the FNA group and the FNB group ( P>0.05). There were no significant differences in the diagnostic accuracy [93.7% (59/63) VS 90.6% (48/53), P=0.730], sensitivity [93.0% (53/57) VS 90.2% (46/51), P=0.732], specificity [100.0% (6/6) VS 100.0% (2/2), P=1.000], positive predictive value [100.0% (53/53) VS 100.0% (46/46), P=1.000] and negative predictive value [60.0% (6/10) VS 28.6% (2/7), P=0.335] of combined cytology and histology in distinguishing benign and malignant lesions between the two groups. In the FNA group, the diagnostic accuracy of combined cytology and histology was higher than cytology alone [93.7% (59/63) VS 81.0% (51/63), P=0.008], and was higher than histology alone without statistical significance [93.7% (59/63) VS 87.3% (55/63), P=0.125]. In the FNB group, the diagnostic accuracy of combined cytology and histology was higher than cytology alone [90.6% (48/53) VS 69.8% (37/53), P=0.001], but not than histology alone [90.6% (48/53) VS 90.6% (48/53)， P=1.000]. For solid masses located in pancreatic body/tail, the diagnostic accuracy for malignancy by histology using FNB needles tended to be higher than that of FNA needles [100.0% (17/17) VS 81.3% (26/32), P=0.080]. Conclusion:Both FNA needles and FNB needles exhibit adequate diagnostic yield for solid pancreatic masses when combining cytology and histology. FNB needles may offer a higher histological diagnostic yield.

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.

Background Air pollution is a major public health concern. Air Quality Health Index (AQHI) is a very important air quality risk communication tool. However, AQHI is usually constructed by single-pollutant model, which has obvious disadvantages. Objective To construct an AQHI based on the joint effects of multiple air pollutants (J-AQHI), and to provide a scientific tool for health risk warning and risk communication of air pollution. Methods Data on non-accidental deaths in Yunnan, Guangdong, Hunan, Zhejiang, and Jilin provinces from January 1, 2013 to December 31, 2018 were obtained from the corresponding provincial disease surveillance points systems (DSPS), including date of death, age, gender, and cause of death. Daily meteorological (temperature and relative humidity) and air pollution data (SO₂, NO₂, CO, PM_2.5, PM₁₀, and maximum 8 h O₃ concentrations) at the same period were respectively derived from China Meteorological Data Sharing Service System and National Urban Air Quality Real-time Publishing Platform. Lasso regression was first applied to select air pollutants, then a time-stratified case-crossover design was applied. Each case was matched to 3 or 4 control days which were selected on the same days of the week in the same calendar month. Then a distributed lag nonlinear model (DLNM) was used to estimate the exposure-response relationship between selected air pollutants and mortality, which was used to construct the AQHI. Finally, AQHI was classified into four levels according to the air pollutant guidance limit values from World Health Organization Global Air Quality Guidelines (AQG 2021), and the excess risks (ERs) were calculated to compare the AQHI based on single-pollutant model and the J-AQHI based on multi-pollutant model. Results PM_2.5, NO₂, SO₂, and O₃ were selected by Lasso regression to establish DLNM model. The ERs for an interquartile range (IQR) increase and 95% confidence intervals (CI) for PM_2.5, NO₂, SO₂ and O₃ were 0.71% (0.34%–1.09%), 2.46% (1.78%–3.15%), 1.25% (0.9%–1.6%), and 0.27% (−0.11%–0.65%) respectively. The distribution of J-AQHI was right-skewed, and it was divided into four levels, with ranges of 0-1 for low risk, 2-3 for moderate risk, 4-5 for high health risk, and ≥6 for severe risk, and the corresponding proportions were 11.25%, 64.61%, 19.33%, and 4.81%, respectively. The ER (95%CI) of mortality risk increased by 3.61% (2.93–4.29) for each IQR increase of the multi-pollutant based J-AQHI , while it was 3.39% (2.68–4.11) for the single-pollutant based AQHI . Conclusion The J-AQHI generated by multi-pollutant model demonstrates the actual exposure health risk of air pollution in the population and provides new ideas for further improvement of AQHI calculation methods.

Humans ; Neoplasms ; Rhabdomyosarcoma

Humans ; Fasciitis/pathology* ; Fibroma/pathology* ; Gene Rearrangement ; Proto-Oncogene Proteins/genetics* ; Ubiquitin Thiolesterase