Osteoarthritis is a common joint disease characterized by progressive degeneration of articular cartilage, leading to pain and dysfunction. Mesenchymal stem cells (MSCs) have emerged as a promising tool for the treatment of osteoarthritis due to their ability to attenuate inflammatory responses, promoting cartilage repair, and immunomodulation. Recent studies have further clarified the mechanism of MSCs in treating osteoarthritis, including direct differentiation into chondrocytes, secretion of anti-inflammatory factors, and regulation of immune response, etc. Meanwhile, researchers are conducting phase I or phase II clinical trials of MSCs in treating osteoarthritis, and positive results have been achieved. Bone marrow-derived MSCs have strong potential for multidirectional differentiation and can effectively alleviate inflammation and promote cartilage repair, but their proliferative and immunomodulatory capacities are relatively low; adipose-derived MSCs show strong anti-inflammatory effects but are slightly less efficient in cartilage regeneration; umbilical cord-derived MSCs show great potential for cartilage repair and immunomodulation and synovial-derived MSCs have excellent chondrogenesis and immunomodulation. MSCs from synovial membrane have excellent chondrogenic capacity but are difficult to obtain. Despite the current promising research results on MSCs for osteoarthritis, clinical issues such as the choice of MSC source, mode of administration, and long-term safety and efficacy still need to be further explored.

Purpose To analyze and compare the impact of incorporating molecular classification into the new FI-GO(2023)staging system for endometrial cancer(EC).Methods A retrospective analysis was conducted on 332 ca-ses of EC diagnosed and molecular subtyped by Department of Pathology Tianjin Central Hospital of Gynecology Obstet-rics in 2023.All cases were staged according to the FIGO(2023)staging criteria for EC.Results The median age of the 332 EC patients was 56 years(range:27-76 years).Molecular subtypes included 30 POLE mutation(POLE-mut),80 mismatch repair deficiency(MMRd),194 no specific molecular profile(NSMP),and 28 p53 abnormal(p53abn).Significant differences were observed among the four molecular subtypes regarding age,FIGO stage,patho-logical type,and lymph node metastasis rate(P＜0.05).However,no significant differences were found in the depth of myometrial invasion or lymphovascular space invasion.In the POLEmut group,19 cases(63.33％)were of non-ag-gressive histological types and 11(36.67％)were aggressive.After incorporating molecular subtyping,all 11 stage Ⅱ patients were downgraded to stage Ⅰ AmPOLEmut,increasing the proportion of stage Ⅰ patients from 62.07％to 100％.In the p53abn group,9 cases(32.14％)were non-aggressive and 19(67.86％)were aggressive.Molecular integra-tion led to the upstaging of 4 stage Ⅰ patients with myometrial invasion to stage Ⅱ Cmp53abn,increasing the proportion of stage Ⅱ patients from 34.61％to 50％.Conclusion Molecular subtypes p53abn and POLEmut are associated with distinct alterations in EC staging,specifically leading to tumor upstaging or downstaging.Our findings underscore the critical importance of comprehensive molecular subtyping in EC staging,as it refines prognostic risk stratification and provides valuable guidance for adjuvant treatment decisions.

Osteoarthritis is a common joint disease characterized by progressive degeneration of articular cartilage, leading to pain and dysfunction. Mesenchymal stem cells (MSCs) have emerged as a promising tool for the treatment of osteoarthritis due to their ability to attenuate inflammatory responses, promoting cartilage repair, and immunomodulation. Recent studies have further clarified the mechanism of MSCs in treating osteoarthritis, including direct differentiation into chondrocytes, secretion of anti-inflammatory factors, and regulation of immune response, etc. Meanwhile, researchers are conducting phase I or phase II clinical trials of MSCs in treating osteoarthritis, and positive results have been achieved. Bone marrow-derived MSCs have strong potential for multidirectional differentiation and can effectively alleviate inflammation and promote cartilage repair, but their proliferative and immunomodulatory capacities are relatively low; adipose-derived MSCs show strong anti-inflammatory effects but are slightly less efficient in cartilage regeneration; umbilical cord-derived MSCs show great potential for cartilage repair and immunomodulation and synovial-derived MSCs have excellent chondrogenesis and immunomodulation. MSCs from synovial membrane have excellent chondrogenic capacity but are difficult to obtain. Despite the current promising research results on MSCs for osteoarthritis, clinical issues such as the choice of MSC source, mode of administration, and long-term safety and efficacy still need to be further explored.

Purpose To analyze and compare the impact of incorporating molecular classification into the new FI-GO(2023)staging system for endometrial cancer(EC).Methods A retrospective analysis was conducted on 332 ca-ses of EC diagnosed and molecular subtyped by Department of Pathology Tianjin Central Hospital of Gynecology Obstet-rics in 2023.All cases were staged according to the FIGO(2023)staging criteria for EC.Results The median age of the 332 EC patients was 56 years(range:27-76 years).Molecular subtypes included 30 POLE mutation(POLE-mut),80 mismatch repair deficiency(MMRd),194 no specific molecular profile(NSMP),and 28 p53 abnormal(p53abn).Significant differences were observed among the four molecular subtypes regarding age,FIGO stage,patho-logical type,and lymph node metastasis rate(P＜0.05).However,no significant differences were found in the depth of myometrial invasion or lymphovascular space invasion.In the POLEmut group,19 cases(63.33％)were of non-ag-gressive histological types and 11(36.67％)were aggressive.After incorporating molecular subtyping,all 11 stage Ⅱ patients were downgraded to stage Ⅰ AmPOLEmut,increasing the proportion of stage Ⅰ patients from 62.07％to 100％.In the p53abn group,9 cases(32.14％)were non-aggressive and 19(67.86％)were aggressive.Molecular integra-tion led to the upstaging of 4 stage Ⅰ patients with myometrial invasion to stage Ⅱ Cmp53abn,increasing the proportion of stage Ⅱ patients from 34.61％to 50％.Conclusion Molecular subtypes p53abn and POLEmut are associated with distinct alterations in EC staging,specifically leading to tumor upstaging or downstaging.Our findings underscore the critical importance of comprehensive molecular subtyping in EC staging,as it refines prognostic risk stratification and provides valuable guidance for adjuvant treatment decisions.

China prospective multicenter birth cohort (Prospective Omics Health Atlas birth cohort, POHA birth cohort) study was officially launched in 2022. This study, in collaboration with 12 participating units, aims to establish a high-quality, multidimensional cohort comprising 20 000 naturally conceived families and assisted reproductive families. The study involves long-term follow-up of parents and offspring, with corresponding biological samples collected at key time points. Through multi-omics testing and analysis, the study aims to conduct multi-omics big data research across the entire maternal and infant life cycle. The goal is to identify new biomarkers for maternal and infant diseases and provide scientific evidence for risk prediction related to maternal diseases and neonatal health.

Aim To explore the feasibility of using machine learning algorithms combined with coronary computed tomography(CT)derived perivascular fat attenuation index(FAI)and plaque information to evaluate myocardial ischemia in stable coronary heart disease patients.Methods A retrospective analysis was conducted on the clinical and imaging data of patients who underwent preoperative coronary CT angiography(CCTA),invasive coronary angiography(ICA),and flow reserve fraction(FFR)measurements at Zhongshan Hospital Affiliated to Fudan University from April 2019 to October 2021.206 patients with stable coronary heart disease were selected.The semi-automatic plaque analysis software was used for quantification of plaque and lumen parameters and perivascular FAI measurement,with man-ual delineation of a 40 mm segment of the coronary artery starting 10 mm from the ostium for perivascular FAI measure-ment.Differences in plaque characteristics,perivascular FAI,and coronary perivascular FAI between stable coronary heart disease patients with FFR≤0.8 and FFR＞0.8 were compared.The diagnostic performance of combining perivascu-lar FAI,coronary perivascular FAI,and plaque features using machine learning algorithms for myocardial ischemia in stable coronary heart disease patients was evaluated through ROC curves.Results 206 stable coronary heart disease patients were divided into FFR≤0.8 group(50 cases)and FFR＞0.8 group(156 cases).The mean periplaque FAI of patients with FFR≤0.8 was-69.28±5.65 HU,significantly higher than that of patients with FFR＞0.8 at-80.10±7.75 HU(P＜0.001).Further analysis was conducted using machine learning models,including XGBoost,random forest,and Logistic regression models,all of which had an accuracy rate of over 0.8 in diagnosing myocardial ischemia.Among them,the XGBoost model performed the best with an accuracy of 0.903,an F1 value of 0.774,and an AUC of 0.931,in-dicating its high effectiveness in diagnosing myocardial ischemia.Conclusion The combination of FAI and machine learning algorithm XGBoost model is a new method for diagnosing myocardial ischemia,which has better diagnostic value in evaluating myocardial ischemia in stable coronary heart disease patients.

Objective To discuss the clinical application value of super selective renal artery embolization-assisted(SRAE-assisted)laparoscopic partial nephrectomy(LPN).Methods A retrospective analysis of the clinical data of patients with stage T1 renal carcinoma,who received LPN,was conducted.The patients were divided into SRAE group(performing LPN without adopting renal hilum vascular clamping)and VC group(performing LPN with adopting renal hilum vascular clamping).The time spent for operation,amount of intraoperative blood loss,and preoperative and postoperative renal functions were compared between the two groups.According to the warm ischemia time(WIT),the patients of the VC group were subdivided into WIT＜25 min subgroup and WIT≥25 min subgroup,and the preoperative and postoperative renal functions were compared between the two subgroups.Results A total of 59 patients with renal carcinoma were enrolled in this study,including 12 patients in SRAE group and 47 patients in VC group.In VC group,WIT＜25 min subgroup had 33 patients and WIT≥25 min subgroup had 14 patients.In both SRAE group and VC group,no patient was referred to open surgery or total nephrectomy.No patient in SRAE group was referred to traditional LPN.The time spent for operation in SRAE group and VC group was 100.50(73.75,132.50)min and 120.00(90.00,145.00)min respectively,the difference between the two groups was not statistically significant(P＞0.05).The postoperative estimated glomerular filtration rate(eGFR)in SRAE group was 100.56(82.85,106.81),which was remarkably higher than 84.66(70.84,94.85)in VC group(P＜0.05).The postoperative serum creatinine level in VC group was 90.50(77.10,104.90)μmol/L,which was strikingly higher than 72.24(65.97,80.27)μmol/L in SRAE group(P＜0.05).The amount of intraoperative blood loss in SRAE group was 50(50,50)mL,which was lower than 50(50,100)mL in VC group(P＜0.05).In VC group,the postoperative eGFR in WIT≥25 min subgroup was 66.13(47.08,82.50),which was lower than 90.80(77.18,98.78)in WIT＜25 min subgroup(P＜0.05).During the postoperative one-year follow-up,no recurrence was observed in both groups.Conclusion Compared with traditional LPN,SRAE-assisted LPN doesn't need to obstruct the renal hilus during surgery,which can avoid the ischemic impairment of the residual renal function and reduce the amount of intraoperative blood loss,moreover,it doesn't increase the operation time,doesn't increase the incidence of complications such as postoperative bleeding,etc.and doesn't affect the curative efficacy and patient's prognosis.

BACKGROUND:Osteonecrosis of the femoral head is one of the refractory diseases in orthopedic diseases.The natural collapse course of osteonecrosis of the femoral head under different stages and types affects the progression and prognosis of the disease. OBJECTIVE:To explore the progression of natural collapse within 5 years in patients under the different classifications of China-Japan Friendship Hospital(CJFH)with stage Ⅱ osteonecrosis of the International Association for Research Circulation Osseous(ARCO),and to analyze the collapse rate and collapse risk of the femoral head under the different classifications of CJFH. METHODS:A retrospective study was performed to select patients diagnosed with ARCO Ⅱ stage osteonecrosis of the femoral head without collapse in the Honghui Hospital Affiliated to Xi'an Jiaotong University from October 2016 to October 2017.According to whether it collapsed,the number of hips was divided into the collapse group(n=82)and the non-collapsed group(n=70).The collapse risk of patients with osteonecrosis of the femoral head under different CJFH classifications,as well as the collapse time,number of collapses,and collapse rate within 5 years were counted,and then the Kaplan-Meier survival curve of the femoral head under different classification of CJFH was plotted. RESULTS AND CONCLUSION:(1)A total of 97 patients with 152 hips were enrolled,and 82 hips collapsed during the follow-up period,with a total collapse rate of 53.9%,of which the collapse rates of M type,C type,L1 type,L2 type,and L3 type were 0.0%,36.7%,51.4%,72.2%,and 77.8%,respectively,and the comparison between the groups was statistically significant(P<0.05).(2)In terms of collapse risk,the collapse risk of L1 type was 1.704 times that of C-type(P>0.05),while the collapse risks of L2 type and L3 type were 3.866 times and 6.423 times that of C type(P<0.05),respectively.(3)In terms of the Kaplan-Meier survival curve,the median survival time of the femoral head of ARCO Ⅱ stage patients was 3 years,with a 95%confidence interval of 2.885-3.471 years,and the survival rates of the femoral head at the first,third and fifth years were 65.1%(99/152),50.7%(77/152),and 46.1%(70/152),respectively.(4)These findings conclude that different CJFH classifications affect the collapse rate of ARCO Ⅱ stage osteonecrosis of the femoral head patients,among which L3 type patients have the highest collapse rate,followed by L2 type and L1 type patients;C type patients have a lower collapse rate,and M type patients do not collapse,which indicates that the preservation of the lateral column of the femoral head is of great significance for the natural collapse course of osteonecrosis of the femoral head.

Ambystoma mexicanum/immunology* ; Amputation ; Animals ; Biomarkers/metabolism* ; Blastomeres/immunology* ; Cell Lineage/immunology* ; Connective Tissue Cells/immunology* ; Epithelial Cells/immunology* ; Forelimb ; Gene Expression ; High-Throughput Nucleotide Sequencing ; Humans ; Immunity ; Peroxiredoxins/immunology* ; Regeneration/immunology* ; Regenerative Medicine/methods* ; Single-Cell Analysis/methods*

Purpose To explore the independent predictors of malignant solitary pulmonary nodule (SPN) manifesting as ground-glass nodule (GGN),and to establish a prediction model.Materials and Methods The clinical data and CT images of 362 patients (group A) with pathological-confirmed SPN appearing as GGN in Shanghai Chest Hospital Shanghai Jiaotong University from January 2014 to December 2015 were retrospectively analyzed.The independent predictors of malignant SPN were identified,and the clinical prediction model was established.Another 119 SPN patients in Affiliated Zhoushan Hospital of Wenzhou Medical University were selected as group B to verify the diagnostic efficiency of the prediction model.Results Using multivariate Logistic regression analysis,clear border (OR=6.274,P＜0.01),smooth edge (OR=0.391,P＜0.01),lobulation (OR=3.387,P＜0.01),pleural retraction sign (OR=2.430,P＜0.01),and vocule sign (OR=3.076,P＜0.01)were identified as independent predictors of malignant SPN.The area of the model under the ROC curve was 0.859 with 95％ CI (0.804-0.903).The diagnostic accuracy rate,sensitivity,specificity,positive predictive value and negative predictive value were 85.92％,91.03％,81.97％,92.03％ and 73.53％,respectively.Conclusion In this study,the independent predictors of malignant SPN appearing as GGN were identified,and the prediction model was established.The model can accurately identify SPN and provide effective help for early diagnosis of SPN.