Although clinical evidence suggests that nonalcoholic fatty liver disease is an established major risk factor for heart failure, it remains unexplored whether sleep disorder-caused hepatic damage contributes to the development of cardiovascular disease (CVD). Here, our findings revealed that sleep fragmentation (SF) displayed notable hepatic detrimental phenotypes, including steatosis and oxidative damage, along with significant abnormalities in cardiac structure and function. All these pathological changes persisted even after sleep recovery for 2 consecutive weeks or more, displaying memory properties. Mechanistically, persistent higher expression of nicotinamide adenine dinucleotide phosphate oxidase 4 (NOX4) in the liver was the key initiator of SF-accelerated damage phenotypes. SF epigenetically controlled the acetylation of histone H3 lysine 27 (H3K27ac) enrichment at the Nox4 promoter and markedly increased Nox4 expression in liver even after sleep recovery. Moreover, fine coordination of the circadian clock and hepatic damage was strictly controlled by BMAL1-dependent Sirtuin 1 (Sirt1) transcription after circadian misalignment. Accordingly, genetic manipulation of liver-specific Nox4 or Sirt1, along with pharmacological intervention targeting NOX4 (GLX351322) or SIRT1 (Resveratrol), could effectively erase the epigenetic modification of Nox4 by reducing the H3K27ac level and ameliorate the progression of liver pathology, thereby counteracting SF-evoked sustained CVD. Collectively, our findings may pave the way for strategies to mitigate myocardial injury from persistent hepatic detrimental memory in diabetic patients.

BACKGROUND:Human periodontal stem cells have a certain inhibitory effect on the pro-inflammatory function of M1-type macrophages,and it is not clear whether icariin,which has anti-inflammatory and other pharmacological activities,can enhance the inhibitory effect of human periodontal stem cells on M1-type macrophages. OBJECTIVE:To investigate the effect of icariin on M1 macrophages after pretreatment of human periodontal stem cells. METHODS:Primary human periodontal stem cells were isolated,cultured and characterized.THP-1 was induced and M1-type macrophages were identified by immunofluorescence staining and PCR.Human periodontal stem cells were cultured with α-MEM complete medium containing concentrations of 10-7,10-6,10-5,and 10-4 mol/L icariin,and the cytotoxicity of Icariin on human periodontal stem cells was detected by the CCK-8 assay at 1,3,5,and 7 days,respectively.α-MEM complete medium,untreated α-MEM conditioned medium for human periodontal stem cells and α-MEM conditioned medium for human periodontal stem cells pretreated with icariin for 24 hours were conditioned with RPMI-1640 complete medium in a 1:1 ratio for M1-type macrophages in the control,untreated,and pretreated groups,and 24 hours later,the mRNA expression of inflammatory factors in M1 macrophages was detected by RT-PCR.The protein expression of inflammatory factors in M1 macrophages was detected by ELISA.The expression of surface markers and nuclear factor-κB pathway-related proteins in M1/M2 macrophages was detected by western blot assay. RESULTS AND CONCLUSION:(1)CCK-8 assay results showed that 10-7,10-6,10-5,10-4 mol/L icariin was not cytotoxic to the human periodontal stem cells,and from day 5 onwards,all the concentrations increased the cell viability,and promoted the cell proliferation.10-4 mol/L icariin was selected for follow-up experiment.(2)RT-PCR and ELISA results showed that compared with the control group,the untreated group and the pretreated group both decreased the expression and secretion of interleukin-1β,interleukin-6,and tumor necrosis factor-α of M1-type macrophages(P<0.05),and the pretreated group was lower than the untreated group(P<0.05).(3)Western blot assay results showed that compared with the untreated group,the expression of CD86 was significantly lower in the pretreated group(P<0.05);compared with the control group,the expression of CD206,a surface marker of M2-type macrophages,was elevated in both the untreated and pretreated groups(P<0.01),and it was significantly higher in the pretreated group than in the untreated group(P<0.01).In M1-type macrophages after 24 hours of conditioned culture,compared with the control group,the expression of nuclear factor-κB/P65 was decreased in the untreated group and the pretreated group(P<0.01),and the expression of p-IκBα was decreased only in the pretreated group(P<0.01);the expression of both nuclear factor-κB/P65 and p-IκBα was significantly reduced in the pretreated group compared with the untreated group(P<0.05),while the difference of IκBα in the three groups was not statistically significant.(4)These results indicated that icariin enhanced the inhibitory effect of human periodontal stem cells on M1-type macrophages,and this effect may be related to the inhibition of the nuclear factor-κB signaling pathway of macrophages.

Objective: To review the current development of artificial intelligence (AI) technology in the field of transfusion medicine. Methods: A systematic search was conducted in the Clarivate Web of Science Database from inception to December 2024 for literature related to AI and transfusion. A total of 4 775 publications were identified. Based on inclusion and exclusion criteria, 133 original studies were ultimately included and analyzed using a narrative synthesis approach. Results: Research on AI in transfusion has surged since 2020 (accounting for 77% of all publications), with China ranking second globally in publication volume. Among the included studies, 69.2% focused on predicting individual transfusion needs, followed by inventory management (8.3%), diagnosis and prediction of adverse transfusion reactions (6.0%), factors influencing transfusion outcomes (5.3%), blood group identification (5.3%), blood quality testing (4.5%), and precise blood volume measurement (1.5%). Additionally, 4.5% of the studies were published in journals with an impact factor greater than 10; 19.5% developed software or applications; 31.5% were multi-center studies; 48.1% utilized decision tree methods, while 31.5% employed neural network approaches; and 14.2% conducted external validation of the algorithms. Conclusion: AI demonstrates significant potential in transfusion risk prediction, decision support, and blood management. However, challenges remain, including limited model generalizability, insufficient algorithm interpretability, and barriers to clinical translation. The deep integration of AI with transfusion medicine will accelerate the advent of precision transfusion era, maximizing blood resource utilization, reducing waste, and ensuring transfusion safety.

Objective To observe the value of middle urethral motion and sphincter elasticity for diagnosing female stress urinary incontinence(SUI).Methods Totally 97 female patients,including 52 with SUI(SUI group)and 45 without SUI(control group)were prospectively enrolled.Pelvic floor ultrasound was performed under resting state and the maximum Valsalva maneuver,respectively,and bladder neck mobility(BND),upper-lower mobility of middle urethra(UMupper-lower),anterior-posterior mobility of middle urethra(UM anterior-posterior),elasticity parameter of the anterior wall of middle urethral sphincter(ΔEanterior wall),as well as elasticity parameter of the posterior wall of middle urethral sphincter(ΔEposterior wall)were measured.Patients'general data and the above ultrasound parameters were compared between groups,and the efficacy of them for diagnosing SUI was analyzed.Results Significant differences of BND,UM upper-lower,ΔEanterior wall and ΔEposterior wall,of also the proportion of lateral episiotomy history were found between groups(all P＜0.05).Among them,UMupper-lower,ΔEanterior wall and ΔEposterior wall were all correlated with female SUI(rs=0.231,-0.533,-0.428,all P＜0.05).The area under the curve(AUC)of UMupper-lower,ΔEanterior wall,ΔEposterior wall and their combination for diagnosing SUI was 0.634,0.820,0.748 and 0.867,respectively.The AUC of the combination was significantly higher than that of each parameter alone(all P＜0.001).Conclusion The combination of middle urethral motion and sphincter elasticity was helpful for diagnosing female SUI.

Objective To understand the clinical applicability and implementation of expert consensus on the implementation and removal of protective restraints in psychiatry,and to provide references for promoting the standardized practice of psychiatric protective restraints and updating the consensus.Methods By the convenience sampling method,a questionnaire survey was conducted among nurses from 480 hospitals in 30 provinces from June 15 to July 15,2024.The survey was conducted using the instrument for evaluating clinical applicability of guide-lines(version 2.0)and a self-compiled questionnaire on the clinical implementation of the restraint consensus.Results A total of 7,844 valid questionnaires were collected,with a valid questionnaire recovery rate of 93.78％.The results of clinical applicability scoring showed that the consensus had the lowest availability score(64.72％)and the highest acceptability score(76.74％).The results showed that nurses' receiving training and the level of their hospitals were the main influencing factors for scores in various dimensions(P＜0.05).4,774 participants(87.42％)believed that the application of consensus could enhance the standardization of nurses' restraint operations.The safety rate of the restraint consensus was 79.51％,and the economic ratio was 76.87％.Among the evaluators,1,739(22.17％)believed that there were implementation obstacles in the consensus.Conclusion The clinical applicability of the consensus is relatively good,and the application of the consensus helps to improve the standardization of clinical operations.In the future,efforts should be made to strengthen the promotion and training of the consensus,develop hierarchical promotion strategies according to the characteristics of medical institutions,and improve the quality of evidence for the consensus,so as to further enhance the clinical application effect of the consensus.

Objective To develop and evaluate dietary and exercise intervention program for over-weight/obese patients with polycystic ovary syndrome(PCOS).Methods Seventy patients with over-weight/obese PCOS were prospectively selected as research subjects and divided into intervention group(n=35)and control group(n=35)according to random number table method.According to the completion of the intervention plan,29 cases were finally included in the intervention group and 28 cases in the control group.The control group was given conventional nursing intervention,while the intervention group was applied with the diet and exercise intervention program for overweight/obese patients with PCOS.Both groups were intervened for 3 months.The physical indicators,PCOS sign scores,natural pregnancy rate,degree of self-body image distress(Multidimensional Self-body Im-age Relationship Questionnaire-Appearance Subscale)and self-efficacy level(Self-efficacy Scale)before and after the intervention were compared between the two groups.The occurrence of adverse reactions during the intervention period between the two groups were compared.Results After 1 month and 3 months of intervention,the body mass index(BMI)and PC OS sign score of the pa-tients in the intervention group were significantly lower than those in the control group(P＜0.05).The natural conception rate of the intervention group was 34.48％(10/29),which was significantly higher than 10.71％(3/28)of the control group(P＜0.05).After 1 month and 3 months of inter-vention,the scores of the self-body image relationship-appearance subscale of the patients in the inter-vention group were significantly higher than those in the control group(P＜0.001).After 3 months of intervention,the score of the Self-efficacy Scale of patients in the intervention group was significantly higher than that in the control group(P＜0.001).During the intervention period,no adverse reac-tions caused by diet and exercise intervention occurred in either group.Conclusion Implementing a diet and exercise intervention program for overweight/obese patients with PCOS is beneficial for re-ducing patients' BMI,increasing the natural pregnancy rate,improving self-body image disorders,and enhancing self-efficacy.

Premature ovarian insufficiency (POI), characterized by the decline of ovarian function before age 40, significantly compromises fertility and long-term health of patients. Stem cell therapy has emerged as a promising approach for POI. This review synthesizes clinical evidence from studies utilizing cells sourced from adult tissues (e.g., adipose derived mesenchymal stem cells, bone marrow mesenchymal stem cells, peripheral blood stem cells) and perinatal tissues (e.g., human amniotic epithelial cells, umbilical cord-derived mesenchymal stem cells). Evidence suggests that stem cell transplantation can improve ovarian reserve, reflected by reduced follicle-stimulating hormone levels and increased estradiol and anti-Müllerian hormone levels, with some patients resuming menstruation and achieving pregnancy. However, treatment efficacy is influenced by patient-specific factors and clinical protocols. Optimizing stem cell transplantation protocols is pivotal for enhancing their clinical efficacy and safety. This article elaborates on key optimization strategies, including transplantation timing, delivery routes, and combination therapies, proposing that early intervention and personalized regimens may improve outcomes. We also discuss patient benefits (such as pregnancy outcomes and quality of life) and treatment safety. Future research should focus on refining personalized strategies, investigating the therapeutic potential of stem cell-derived agents, and establishing long-term follow-up, thereby advancing POI therapy toward precision medicine and standardized application.

Objective To construct a risk prediction model for post-stroke dysphagia(PSD)based on clinical and laboratory indicators of elderly stroke patients with explainable machine learning.Methods A retrospective analysis was conducted on 3994 stroke patients hospitalized in Depart-ment of Neurology of First Medical Center of Chinese PLA General Hospital from October 2010 to December 2021.Among them,the 1390 cases admitted during January 2019 and December 2021 were assigned into an external validation set,and the 2604 cases admitted during October 2010 to January 2019 were into a training group.Those from the training group were further divided into a training set(1823 cases)and an internal validation set(781 cases)in a 7∶3 ratio,and also grouped into a PSD subgroup(773 cases)and a non-PSD group(1831 cases).With occurrence of swallowing difficulties as an endpoint,risk prediction models were constructed using random for-est(RF),eXtreme Gradient Boosting(XGBoost),Support Vector Machine(SVM),and logistic regression.ROC curve analysis was employed to evaluate the performance of our models.After the optimal model was selected,SHAP was employed to interpret feature contributions.Results There were significant differences in muscle strength,right/left-sided stroke,and area of brain in-jury between the PSD and the non-PSD groups(P＜0.01).The PSD group had obviously larger proportions of hypertension,diabetes,and drinking history,increased neutrophil counts,and de-creased levels of potassium and albumin when compared with the non-PSD group(P＜0.05,P＜0.01).Multivariate logistic regression analysis showed that age,drinking history,diabetes,hyper-tension,muscle strength grade,area of brain injury,hemispheric stroke,neutrophil count,and al-bumin and potassium levels were risk factors for PSD(P＜0.05,P＜0.01).The external validation results showed that the area under curve value of the RF model,XGBoost model,SVM model,and our logistic model was 0.883,0.902,0.877,and 0.868,respectively.The distribution of SHAP value showed that drinking history,hypertension and diabetes were positively correlated with PSD risk;Muscle strength was negatively correlated with the risk;Age growth was positively correlated with the risk;Subtentorial lesions showed stronger predictive efficacy than supratentorial lesions and entire lesions;The bilateral and right-sided stroke had higher risk for PSD than the left-sided stroke.Conclusion The model based on the XGBoost model shows best performance in predicting the risk for swallowing disorders in elderly patients after stroke.

Objective To construct a risk prediction model for post-stroke dysphagia(PSD)based on clinical and laboratory indicators of elderly stroke patients with explainable machine learning.Methods A retrospective analysis was conducted on 3994 stroke patients hospitalized in Depart-ment of Neurology of First Medical Center of Chinese PLA General Hospital from October 2010 to December 2021.Among them,the 1390 cases admitted during January 2019 and December 2021 were assigned into an external validation set,and the 2604 cases admitted during October 2010 to January 2019 were into a training group.Those from the training group were further divided into a training set(1823 cases)and an internal validation set(781 cases)in a 7∶3 ratio,and also grouped into a PSD subgroup(773 cases)and a non-PSD group(1831 cases).With occurrence of swallowing difficulties as an endpoint,risk prediction models were constructed using random for-est(RF),eXtreme Gradient Boosting(XGBoost),Support Vector Machine(SVM),and logistic regression.ROC curve analysis was employed to evaluate the performance of our models.After the optimal model was selected,SHAP was employed to interpret feature contributions.Results There were significant differences in muscle strength,right/left-sided stroke,and area of brain in-jury between the PSD and the non-PSD groups(P＜0.01).The PSD group had obviously larger proportions of hypertension,diabetes,and drinking history,increased neutrophil counts,and de-creased levels of potassium and albumin when compared with the non-PSD group(P＜0.05,P＜0.01).Multivariate logistic regression analysis showed that age,drinking history,diabetes,hyper-tension,muscle strength grade,area of brain injury,hemispheric stroke,neutrophil count,and al-bumin and potassium levels were risk factors for PSD(P＜0.05,P＜0.01).The external validation results showed that the area under curve value of the RF model,XGBoost model,SVM model,and our logistic model was 0.883,0.902,0.877,and 0.868,respectively.The distribution of SHAP value showed that drinking history,hypertension and diabetes were positively correlated with PSD risk;Muscle strength was negatively correlated with the risk;Age growth was positively correlated with the risk;Subtentorial lesions showed stronger predictive efficacy than supratentorial lesions and entire lesions;The bilateral and right-sided stroke had higher risk for PSD than the left-sided stroke.Conclusion The model based on the XGBoost model shows best performance in predicting the risk for swallowing disorders in elderly patients after stroke.

Objective To observe the value of traditional pelvic floor ultrasound parameters combined with middle urethral sphincter elasticity parameters for diagnosing female stress urinary incontinence(SUI).Methods Fifty two female SUI patients(SUI group)and 45 healthy women(control group)were prospectively enrolled.Traditional pelvic floor ultrasound parameters and middle urethral sphincter elasticity parameters were compared between groups,and logistic regression analysis was performed,the efficacy of each parameter alone and their combination for diagnosing SUI was analyzed.Results Significant differences of bladder neck descent(BND),urethral rotation angle(URA),posterior urethrovesical angle(PUA),shear modulus of the middle urethral anterior wall sphincter at rest state(Q1),shear modulus of the middle urethral anterior wall sphincter under maximum Valsalva maneuver(Q2),and shear modulus of the middle urethral posterior wall sphincter at resting-state(H1)were found between groups(all P＜0.05).BND,PUA,Q1 and Q2 were all influencing factors of female SUI(all P＜0.05),with the area under the curve(AUC)for diagnosing SUI of 0.721,0.718,0.659 and 0.288,respectively.Then traditional ultrasound model,elasticity ultrasound model and combined model were constructed based on traditional pelvic floor ultrasound parameters(BND,PUA),middle urethral sphincter elasticity parameters(Q1,Q2)and their combination,respectively,with AUC for diagnosing SUI of 0.837,0.754 and 0.908,respectively.The AUC of combined model was higher than that of traditional ultrasound model,elasticity ultrasound model and each ultrasound parameter alone(all P＜0.05).Conclusion Traditional pelvic floor ultrasound parameters combined with middle urethral sphincter elasticity parameters had high value for diagnosing female SUI.