BACKGROUND: Knee osteoarthritis (OA) is still challenging to prevent or treat. Enhanced endoplasmic reticulum (ER) stress and increased pyroptosis in chondrocytes may be responsible for cartilage degeneration. This study aims to investigate the effect of ER stress on chondrocyte pyroptosis and the upstream regulatory mechanisms, which have rarely been reported. METHODS: The expression of the histone methyltransferase enhancer of zeste homolog 2 (EZH2), microRNA-142-3p (miR-142-3p), and high mobility group box 1 (HMGB1) and the levels of ER stress, pyroptosis, and metabolic markers in normal and OA chondrocytes were investigated by western blotting, quantitative polymerase chain reaction, immunohistochemistry, fluorescence in situ hybridization, fluorescein amidite-tyrosine-valine-alanine-aspartic acid-fluoromethyl ketone (FAM-YVAD-FMK)/Hoechst 33342/propidium iodide (PI) staining, lactate dehydrogenase (LDH) release assays, and cell viability assessments. The effects of EZH2, miR-142-3p, and HMGB1 on ER stress and pyroptosis and the hierarchical regulatory relationship between them were analyzed by chromatin immunoprecipitation, luciferase reporters, gain/loss-of-function assays, and rescue assays in interleukin (IL)-1β-induced OA chondrocytes. The mechanistic contribution of EZH2, miR-142-3p, and HMGB1 to chondrocyte ER stress and pyroptosis and therapeutic prospects were validated radiologically, histologically, and immunohistochemically in surgically induced OA rats. RESULTS: Increased EZH2 and HMGB1, decreased miR-142-3p, enhanced ER stress, and activated pyroptosis in chondrocytes were associated with OA occurrence and progression. EZH2 and HMGB1 exacerbated and miR-142-3p alleviated ER stress and pyroptosis in OA chondrocytes. EZH2 transcriptionally silenced miR-142-3p via H3K27 trimethylation, and miR-142-3p posttranscriptionally silenced HMGB1 by targeting the 3'-UTR of the HMGB1 gene. Moreover, ER stress mediated the effects of EZH2, miR-142-3p, and HMGB1 on chondrocyte pyroptosis. In vivo experiments mechanistically validated the hierarchical regulatory relationship between EZH2, miR-142-3p, and HMGB1 and their effects on chondrocyte ER stress and pyroptosis. CONCLUSIONS A novel EZH2/miR-142-3p/HMGB1 axis mediates chondrocyte pyroptosis and cartilage degeneration by regulating ER stress in OA, contributing novel mechanistic insights into OA pathogenesis and providing potential targets for future therapeutic research.
Enhancer of Zeste Homolog 2 Protein/genetics* ; Osteoarthritis, Knee/pathology* ; Chondrocytes/metabolism* ; Pyroptosis/physiology* ; HMGB1 Protein/genetics* ; MicroRNAs/metabolism* ; Endoplasmic Reticulum Stress/genetics* ; Humans ; Animals ; Rats ; Male ; Rats, Sprague-Dawley ; Middle Aged

Purpose To explore the expression,mechanism and clinical significance of MCM5 in ovarian cancer.Methods The expression of MCM5 mRNA in ovarian cancer and its correlation with patients'survival were analyzed using GEO and TCGA databases.The expression of MCM5 protein in ovarian cancer was detected by immunohistochemistry of SP two-step method,and its relationship with clinicopathological characteris-tics was analyzed.With inhibition of MCM5 by siRNA in ovarian cancer cells.The effects of MCM5 on cell proliferation,migra-tion,invasion,and apoptosis were detected by CCK-8 assay,EDU,plate cloning,Transwell chamber and flow cytometry.Re-sults Immunophenotype:MCM5 does not stain in the fallopian tube epithelium(0/6),with a positivity rate of 48.3％(57/118)in ovarian cancer.The expression of MCM5 in ovarian cancer is significantly higher than in fallopian tube epithelium,showing diffuse strong expression in high-grade serous carcino-ma.MCM5 expression is strongly correlated with ER-negative status and high Ki67 proliferation index.Knocking down MCM5 expression inhibits proliferation(P＜0.05),clonogenicity(P＜0.05),invasion and migration(P＜0.05)of ovarian cancer cells,and promotes apoptosis.Conclusion MCM5 is highly expressed in human ovarian cancer cells and tissues and is asso-ciated with poor prognosis.It is expected to become a new target for the treatment of ovarian cancer.

In recent years， the incidence of pulmonary nodules has kept rising. To give full play to the advantages of traditional Chinese medicine （TCM） in the treatment of pulmonary nodules and identify the breakthrough points of integrating TCM with Western medicine， the China Association of Chinese Medicine organized medical experts in TCM and western medicine to carry out in-depth discussion regarding this disease. The discussion encompassed the modern medical advances， TCM theories of etiology and pathogenesis， the role and advantages of TCM in the whole course management of pulmonary nodules， contents and methods of research on pulmonary nodules， and science popularization work， aiming to provide a reference for clinical practice and scientific research. After discussion， the experts concluded that the occurrence of pulmonary nodules was rooted in the deficiency of the lung and spleen and triggered by phlegm dampness， blood stasis， and Qi stagnation. TCM can treat pulmonary nodules by controlling and reducing nodules， improving physical constitution， ameliorating multi-system nodular diseases， reducing anxiety and avoiding excessive diagnosis and treatment， and serving as an alternative for patients who are unwilling or unfit for surgical treatment. At present， the optimal diagnosis and treatment strategy for pulmonary nodules has not been formed， which needs to be further studied from multiple perspectives such as clinical epidemiology， biology， and evidence-based medicine. The primary task of current research is to find out the advantages， effective prescriptions， and target populations and determine the effective outcomes of TCM in the treatment of pulmonary nodules. At the same time， basic research should be carried out to explore the etiology and biological behaviors of pulmonary nodules. The expert consensus on the diagnosis and treatment of pulmonary nodules with integrated TCM and Western medicine needs to be continuously revised to guide clinicians to conduct standardized， scientific， and accurate effective diagnosis and treatment.

Objective: To explore the correlation between Diabetes Complication Severity Index(DCSI), C-reactive protein/albumin ratio(CAR) and death in patients with diabetic foot ulcer(DFU) and to clarify their predictive value for all-cause death in DFU patients. Methods: Retrospectively analyzed the clinical data of 354 DFU patients who were treated in the Endocrinology Department of the First Affiliated Hospital of Anhui Medical University from July 2019 to December 2022. Based on survival status during follow-up, patients were divided into a survival group(n=268) and a death group(n=86). Univariate and multivariate Cox regression analyses were used to identify risk factors for all-cause death in DFU patients. Receiver operating characteristic(ROC) curves were plotted to evaluate the predictive value of DCSI, CAR, and their combination for all-cause death in DFU patients. Kaplan-Meier curves were used to explore the impact of different DCSI and CAR levels on survival in DFU patients. Results: Univariate Cox regression analysis showed that older age, history of hypertension, higher Wagner classification levels, and elevated levels of CRP, Scr, FDP, DCSI score, and CAR were associated with a higher risk of death in DFU patients(P<0.05). Higher levels of HGB, HCT, ALB, or eGFR were associated with a lower risk of death. Patients receiving combined insulin and oral hypoglycemic medication had a lower risk of death compared to those receiving only insulin therapy(P<0.05). Multivariate Cox regression analysis indicated that older age, higher levels of Scr, DCSI, and CAR were independent risk factors for all-cause death in DFU patients, while higher levels of ALB and combined insulin and oral hypoglycemic therapy were protective factors. ROC curve analysis showed that the AUC values for DCSI, CAR, and their combination were 0.652, 0.633, and 0.686, respectively. Kaplan-Meier curve analysis revealed that patients with high DCSI scores(≥4.5) had a lower survival rate compared to those with lower DCSI scores(<4.5). Similarly, patients with high CAR levels(≥0.124) had a lower survival rate compared to those with lower CAR levels(<0.124). Conclusion High levels of DCSI and CAR are independent risk factors for all-cause death in DFU patients. DCSI, CAR, and their combination have predictive value for all-cause mortality in DFU patients.

Objective:To investigate the clinical effect of artificial intelligence(AI)technique in delineating target volume for patients with lung cancer during radiotherapy.Methods:A total of 60 patients with lung cancer who received radiotherapy in Pingxiang People's Hospital from September 2021 to March 2023 were selected,and they were divided into control group and observation group by random envelope method,with 30 cases in each group.The control group outlined target volume as conventional method.The observation group adopted deep learning technique to conduct train,and then,UNet network model was output and was used to complete automatic delineation for the target volume of radiotherapy for patients.The near-term efficacy,planning target region volume,radiation dose of target volume,volume and dose of organ at risk(OAR),survival time and incidence of adverse reactions were compared between two groups.Results:The objective relief rate(ORR)of observation group was 70.0％(21/30)after intervention,which was higher than that[46.67％(14/30)]of control group,and the difference was statistically significant(x2=5.691,P＜0.05).The radiation doses of internal target volume(ITV)and planning target volume in observation group were lower respectively than those in control group(t=4.591,4.934,P＜0.05),and the differences of them were significant,respectively.The volume percentages(V20,V5)of the exposed radiation dose that were higher than 20 Gy and 5 Gy in normal lung tissue,the exposed mean lung dose(MLD)of bilateral lungs and the exposed dose of 1cc volume(D1cc)of bilateral lungs in observation group were all lower than those in control group,the differences were statistically significant(t=5.249,4.571,6.092,5.339,P＜0.05),respectively.There was no statistical significance in the incidence of adverse reaction between two groups(P＞0.05).Conclusion:The application of AI technique in delineating target volume of radiotherapy for lung cancer can improve ORR,which is helpful to decrease the planning target volume,D95 and conformal index,and reduce the volume and dose of OAR.It does not increase the incidence of adverse reactions.

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 evaluate the effects of different imaging frequencies and matching strategies of cone-beam computed tomography (CBCT) on dose-volume parameters in target and organs at risk (OAR) during image-guided radiotherapy for prostate cancer.Methods:A total of 561 sets of CBCT images from 21 patients treated with radical prostate radiotherapy who were admitted to Peking University First Hospital from June 2022 to May 2023 were retrospectively analyzed. All patients received volumetric intensity modulated arc therapy (VMAT) at a prescribed dose of 70 Gy divided into 25 times, 2.8 Gy per time. Clinical target volume (CTV) and OAR were delineated by the same oncologist on each CBCT image. The planned CT (pCT) was rigorously registered to CBCT after calibration of positioning errors according to different image guidance modes and frequencies, and CT values and structures were propagated to CBCT through deformable image registration (DIR). The daily dose was mapped to pCT according to the deformation vector field (DVF) for dose accumulation. The actual cumulative dose of daily online CBCT validation was compared with the weekly CBCT validation regimen (days 1, 2, 3, 6, 11, 16 and 21 online imaging). The dosimetric comparison was also made between bone-based matching and soft tissue-based matching (after automatic bone-based matching, manual prostate-based matching was performed and fine-tuning was made regarding the anterior wall of rectum). Wilcoxon signed rank-sum test was utilized to analyze dose-volume parameters between planned and cumulative doses that exhibited non-normal distribution, while paired t-test was employed for assessing shift values and average dose parameters that demonstrated normal distribution. Results:Compared with daily CBCT image guidance, the CTV_D 98% in weekly CBCT was significantly reduced [(69.08±1.58) vs. (65.24±3.64) Gy, P<0.001]. The CTV_D 98% of bone-based matching was (69.27±2.14) Gy, but the high-dose volume of the rectum were significantly increased: V 60 Gy was 3.18%±3.10%, V 65 Gy was 0.77%±1.23%. The target area coverage using soft tissue-based matching is sufficient, with a CTV_D 98% of (69.08±1.58) Gy. And the percentage volume of high-dose volume of the rectum was significantly reduced, with V 60 Gy being 2.02%±2.42% and V 65 Gy being 0.34%±0.68%. Conclusions:In prostate cancer patients undergoing moderately-fractionated radiotherapy, daily CBCT image guidance demonstrates superior target coverage compared to a weekly scheme. Soft tissue-based matching, which is automatic bone-based matching followed by manual soft tissue-based matching and fine-tuning according to the anterior rectal wall, offers better rectal protection while maintaining target coverage.

Objective:To explore potential predictors of refractory Mycoplasma pneumoniae pneumonia (RMPP) in early stage. Methods:The prospective multicenter study was conducted in Zhejiang, China from May 1 st, 2019 to January 31 st, 2020. A total of 1 428 patients with fever >48 hours to <120 hours were studied. Their clinical data and oral pharyngeal swab samples were collected; Mycoplasma pneumoniae DNA in pharyngeal swab specimens was detected. Patients with positive Mycoplasma pneumoniae DNA results underwent a series of tests, including chest X-ray, complete blood count, C-reactive protein, lactate dehydrogenase (LDH), and procalcitonin. According to the occurrence of RMPP, the patients were divided into two groups, RMPP group and general Mycoplasma pneumoniae pneumonia (GMPP) group. Measurement data between the 2 groups were compared using Mann-Whitney U test. Logistic regression analyses were used to examine the associations between clinical data and RMPP. Receiver operating characteristic (ROC) curves were used to analyse the power of the markers for predicting RMPP. Results:A total of 1 428 patients finished the study, with 801 boys and 627 girls, aged 4.3 (2.7, 6.3) years. Mycoplasma pneumoniae DNA was positive in 534 cases (37.4%), of whom 446 cases (83.5%) were diagnosed with Mycoplasma pneumoniae pneumonia, including 251 boys and 195 girls, aged 5.2 (3.3, 6.9) years. Macrolides-resistant variation was positive in 410 cases (91.9%). Fifty-five cases were with RMPP, 391 cases with GMPP. The peak body temperature before the first visit and LDH levels in RMPP patients were higher than that in GMPP patients (39.6 (39.1, 40.0) vs. 39.2 (38.9, 39.7) ℃, 333 (279, 392) vs. 311 (259, 359) U/L, both P<0.05). Logistic regression showed the prediction probability π=exp (-29.7+0.667×Peak body temperature (℃)+0.004×LDH (U/L))/(1+exp (-29.7+0.667×Peak body temperature (℃)+0.004 × LDH (U/L))), the cut-off value to predict RMPP was 0.12, with a consensus of probability forecast of 0.89, sensitivity of 0.89, and specificity of 0.67; and the area under ROC curve was 0.682 (95% CI 0.593-0.771, P<0.01). Conclusion:In MPP patients with fever over 48 to <120 hours, a prediction probability π of RMPP can be calculated based on the peak body temperature and LDH level before the first visit, which can facilitate early identification of RMPP.

In March 2024, organized by Chinese Society of Parenteral and Enteral Nutrition (CSPEN), experts in the fields of general surgery, critical care medicine, gastroenterology, geriatrics, clinical nutrition, clinical pharmacy and evidence-based medicine developed the guidelines for the clinical application of micronutrients in Chinese adult patients (2024 edition) on the basis of latest clinical evidence. The guidelines is of great value in guiding the clinical application of micronutrients. Here, we intended to interpret the guidelines, summarize the differences between domestic and foreign guidelines, and thus enhance our understanding.

Objective To investigate the correlation between thyroid function,neutrophil/lymphocyte ratio(NLR),platelet/lymphocyte ratio(PLR)and diabetic ketoacidosis(DKA).Methods A total of 272 diabetic patients admitted to the Department of Endocrinology,Anhui No.2 Provincial People's Hospital were enrolled in this study from January 2021 to March 2024 and divided into DKA group(n=74),diabetic ketosis group(DK group,n=100)and simple DM group(n=98)according to their disease conditions.Serum free triiodothyronine(FT3),free tetraiodothyronine(FT4),thyroid stimulating hormone(TSH),FPG,HbA1c,anion gap(AG),white blood cells(WBC),neutrophils(N),platelets(PLT)and lymphocytes(L)were detected in each group,and NLR and PLR were calculated.The influence factors of DKA were analyzed by logistic regression,and the diagnostic value of FT3,NLR and PLR in DKA was evaluated by receiver operating characteristic(ROC)curve.Results Hospitalization days,FPG,HbA1c,incidence of LT3S,AG,WBC,N,PLT,NLR,PLR were higher in DKA group than in DM and DK groups(P<0.05),Age,FT3,FT4,TSH,L were lower in DKA group than in DM and DK groups(P<0.05).Logistic regression analysis showed that FT3,AG,NLR and PLR were the influencing factors for DKA.ROC curve showed that the area under the curve of FT3,NLR,PLR and combined detection to predict DKA were 0.961,0.938,0.810 and 0.980,the sensitivity was 87.8%,90.5%,75.7%and 98.6%,the specificity was 95.5%,92.9%,76.3%,92.4%,and the combined detection was superior to the single detection.Conclusions FT3,NLR,PLR have a certain diagnostic value for DKA,and the combined detection of the three has a high diagnostic value,which can provide a reference for clinical diagnosis of DKA.