Licochalcone E is a chalcone isolated from Glycyrrhiza uralensis and G. inflata Batal. This study explored the effect of licochalcone E on improving hepatic steatosis in obese mice and evaluated the role of licochalcone E in regulating lipid accumulation in hepatocytes. In vitro, oleic acid–induced hepatocytes were treated with licochalcone E to investigate its effect on lipid metabolic pathways. In animal experiments, male C57BL/6 mice were fed with a high-fat diet (HFD) and treated with licochalcone E by intraperitoneal injection for 12 weeks to assess its effects on biochemical indexes and hepatic steatosis. Furthermore, mice were fed a methionine/choline-deficient (MCD) diet and administered licochalcone E, followed by evaluation of liver fibrosis. Licochalcone E effectively reduced body weight, epididymal and inguinal fat weight, and adipocyte size in HFD-induced obese mice. Licochalcone E treatment of obese mice also reduced hepatic lipid accumulation and improved hepatocyte steatosis. Licochalcone E regulated the expression of lipogenesis- and lipolysis-related genes in the livers of obese mice and increased AMPK phosphorylation and Sirt1 expression in the liver. Licochalcone E also attenuated hepatic inflammation and oxidative stress in obese mice. Furthermore, treatment of MCD-induced mice with licochalcone E reduced the number of lipid vacuoles and the extent of fibrosis and inhibited liver inflammation. In FL83B hepatocytes, licochalcone E could regulate lipogenesis and lipolysis, and increase the phosphorylation of AMPK and ACC. These findings provide new insights into the role of licochalcone E in regulating lipid metabolism and preventing hepatic steatosis.

Aim To investigate the effects of sodium lactate(NALA)on right heart failure induced by monocrotaline(MCT)-induced pulmonary arterial hy-pertension in rats and to reveal the underlying mecha-nisms.Methods Forty male Sprague-Dawley(SD)rats were randomly allocated into four groups,with ten rats in each group,namely,MCT group,NALA group,and NALA+MCT group;the MCT and NALA+MCT groups were administered a single intraperito-neal injection of MCT at 60 mg·kg-1 to induce pul-monary hypertension,and one week later,the NALA and NALA+MCT groups received intraperitoneal in-jections of NALA at 0.1 g·kg-1(once a day,for 5 weeks),while the CON and MCT groups received e-qual volumes of physiological saline(once a day,for 5 weeks);right heart function was assessed using echo-cardiography,right ventricular and pulmonary artery remodeling were evaluated via histopathological sec-tions,and the expression levels of ANP,BNP,and in-flammatory factors were measured by ELISA,along with assessments of oxidative stress levels,Western blot detection of the expression levels of proteins in the TLR4/NF-κB signaling pathway.Results Compared to the CON group,the MCT group exhibited increased RVSP and RVHI,decreased right heart function,in-creased collagen fiber deposition,and elevated oxida-tive stress and inflammatory factor expression,and the expression levels of proteins in the TLR4/NF-κB signa-ling pathway increased(P＜0.05);compared to the MCT group,the NALA+MCT group showed reduced RVSP and RVHI,improved right heart function,atten-uated pulmonary vascular remodeling,decreased ex-pression of ANP,BNP,inflammatory factors,and H2O2,along with increased antioxidant enzyme expres-sion,and the expression levels of proteins in the TLR4/NF-κB signaling pathway decreased(P＜0.05).Conclusion NALA can inhibit right ventric-ular remodeling in rats with pulmonary hypertension,and the underlying mechanism may involve the allevia-tion of inflammatory responses and oxidative stress through the inhibition of the TLR4/NF-κB signaling pathway.

Artificial intelligence(AI)has emerged as a cutting-edge technology leading the future and is a key engine for China's development.In the innovation and research of medical devices,AI has provided critical support in the areas of intelligent diagnostic assistance,intelligent therapeutic assis-tance,intelligent monitoring,life support,et al.Ma-chine learning-enabled device software functions(ML-DSFs)have become an essential component of many medical devices.Recently,the United States Food and Drug Administration(FDA)released a draft guidance titled"Marketing Submission Rec-ommendations for a Predetermined Change Con-trol Plan for Artificial Intelligence/Machine Learn-ing(AI/ML)-Enabled Device Software Functions(Draft)."that aimed to provide a forward-looking approach to foster the development of ML medical devices.By supporting iterative updates through modifications,this approach ensures the continu-ous safety and effectiveness of the devices.This guidance represents the latest in regulatory direc-tion and is especially beneficial for enhancing the quality and efficiency of clinical trials for AI prod-ucts.Therefore,we plan to provide a detailed intro-duction and interpretation of the guidance,with the aim of learning from international advanced regulatory concepts and experiences to promote the development of ML-DSFs with more profound international influence.

Objective:To analyze the effects of the Focused Solution Model Nursing intervention on quality of life,negative emotions of the patients with prostate cancer.Methods:A total of 82 prostate cancer patients who were diagnosed and treated at the General Hospital of Eastern Theater Command between September 2022 and September 2024 were included and randomly divided into study group and control group by the method of random number table,with 41 patients in each group.The patients in the study group were treated with Focused Solution Model Nursing intervention.And the routine care was used in the control group The quality of life and negative emotions were compared between the two groups by using the scales of World Health Organization Quality of Life-Brief(WHOQOL-BREF),HAMA and HAMD.Results:Compared to the control group,the patients in the study group exhibited signifi-cantly higher scores in the physiological,psychological,environmental,and social relationship domains of the WHOQOL-BREF scale(P＜0.05).The scores of HAMA and HAMD in study group were lower than those of the control group(P＜0.05).Additionally,all subscales of the Social Impact Scale including social exclusion,internalized shame,social isolation and economic discrimination were significantly lower than those of the study group(P＜0.05).Conclusion:Focused Solution Model Nursing intervention can effec-tively improve the quality of life and negative emotions of the prostate cancer patients in the clinical treatment.

Aim To investigate the effects of sodium lactate(NALA)on right heart failure induced by monocrotaline(MCT)-induced pulmonary arterial hy-pertension in rats and to reveal the underlying mecha-nisms.Methods Forty male Sprague-Dawley(SD)rats were randomly allocated into four groups,with ten rats in each group,namely,MCT group,NALA group,and NALA+MCT group;the MCT and NALA+MCT groups were administered a single intraperito-neal injection of MCT at 60 mg·kg-1 to induce pul-monary hypertension,and one week later,the NALA and NALA+MCT groups received intraperitoneal in-jections of NALA at 0.1 g·kg-1(once a day,for 5 weeks),while the CON and MCT groups received e-qual volumes of physiological saline(once a day,for 5 weeks);right heart function was assessed using echo-cardiography,right ventricular and pulmonary artery remodeling were evaluated via histopathological sec-tions,and the expression levels of ANP,BNP,and in-flammatory factors were measured by ELISA,along with assessments of oxidative stress levels,Western blot detection of the expression levels of proteins in the TLR4/NF-κB signaling pathway.Results Compared to the CON group,the MCT group exhibited increased RVSP and RVHI,decreased right heart function,in-creased collagen fiber deposition,and elevated oxida-tive stress and inflammatory factor expression,and the expression levels of proteins in the TLR4/NF-κB signa-ling pathway increased(P＜0.05);compared to the MCT group,the NALA+MCT group showed reduced RVSP and RVHI,improved right heart function,atten-uated pulmonary vascular remodeling,decreased ex-pression of ANP,BNP,inflammatory factors,and H2O2,along with increased antioxidant enzyme expres-sion,and the expression levels of proteins in the TLR4/NF-κB signaling pathway decreased(P＜0.05).Conclusion NALA can inhibit right ventric-ular remodeling in rats with pulmonary hypertension,and the underlying mechanism may involve the allevia-tion of inflammatory responses and oxidative stress through the inhibition of the TLR4/NF-κB signaling pathway.

Artificial intelligence(AI)has emerged as a cutting-edge technology leading the future and is a key engine for China's development.In the innovation and research of medical devices,AI has provided critical support in the areas of intelligent diagnostic assistance,intelligent therapeutic assis-tance,intelligent monitoring,life support,et al.Ma-chine learning-enabled device software functions(ML-DSFs)have become an essential component of many medical devices.Recently,the United States Food and Drug Administration(FDA)released a draft guidance titled"Marketing Submission Rec-ommendations for a Predetermined Change Con-trol Plan for Artificial Intelligence/Machine Learn-ing(AI/ML)-Enabled Device Software Functions(Draft)."that aimed to provide a forward-looking approach to foster the development of ML medical devices.By supporting iterative updates through modifications,this approach ensures the continu-ous safety and effectiveness of the devices.This guidance represents the latest in regulatory direc-tion and is especially beneficial for enhancing the quality and efficiency of clinical trials for AI prod-ucts.Therefore,we plan to provide a detailed intro-duction and interpretation of the guidance,with the aim of learning from international advanced regulatory concepts and experiences to promote the development of ML-DSFs with more profound international influence.

Objective:The aim of this study is to investigate the main active substances of Qilin pills by high performance liq-uid chromatogre-electrostatic field orbitrap mass spectrometry(HPLC-Q-Orbitrap/MS),and explore the mechanism of its action in the treatment of asthenozoospermia by combining network pharmacology and molecular docking.Methods:(1)Qilin pills were quantita-tively and qualitatively analyzed by HPLC-Q-Orbitrap/MS.(2)The top 100 compounds in Qilin pills were screened by content analy-sis and SwissADME,and their targets were predicted.The asthenozoospermia targets were searched through the database.And a"pro-tein-protein interaction"(PPI)network was constructed.KEGG and GO analysis was performed using the DAVID database.And a"drug-target-pathway"network was constructed.(3)SailVina was used for molecular docking.Results:(1)A total of 1 275 known components were found and ranked in Qilin pills by HPLC-Q-Orbitrap/MS analysis.(2)The top 100 compounds in Qilin pills predicted a total of 1 053 targets and 184 potential therapeutic targets for asthenozoospermia.KEGG pathway analysis and GO analysis showed that the treatment of asthenozoospermia by Qilin pills may be related to the steroid hormone synthesis pathway,the response to steroid hormones,the chromosomal region of cells and the activity of steroid hydroxylase.The mechanism of Qilin pills in treating as-thenozoospermia may be related to regulating the synthesis,metabolism and reaction process of sex hormone in the body.(3)The mo-lecular docking results of its key targets(CYP19A1,ESR1,HSP90AA1,p53,HIF1α and BCL2)showed that the key active ingredi-ents M030,M039,M043,M050,M055 and M073 of Qilin pills had spontaneous binding.It had a binding energy of less than-5 kJ/mol.Conclusion:The material basis of Qilin pills has been explored by this study.And the mechanism of action of Qilin pills in the treatment of asthenozoospermia is highly bound to the expression and response process of steroid hormones,which provides a theoretical basis for the clinical application of Qilin pills.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

In recent years,the incidence and mortality of heatstroke have been increasing annually alongside global warming,with a marked rise in cases exhibiting atypical symptoms.To address the increasingly complex challenges in heatstroke prevention and treatment,Heatstroke Prevention and Treatment Research Center of Chinese PLA,Expert Group of Heatstroke Prevention and Treatment of Chinese PLA,and Chinese PLA Professional Committee of Critical Care Medicine have jointly developed this guideline(2025 edition).Utilizing the Grading of Recommendations Assessment,Development and Evaluation(GRADE)system,Appraisal of Guidelines for Research and Evaluation(AGREE)criteria,and Reporting Items for Practice Guidelines in Healthcare(RIGHT)standards,and based on the 2015 draft"Expert Consensus on the Standardized Diagnosis and Treatment of Heatstroke"and the 2019"Chinese Expert Consensus on the Diagnosis and Treatment of Heatstroke",this guideline has been crafted.This guideline provides 25 evidence-based recommendations to guide the prevention,treatment and research of heatstroke,which thoroughly covers 8 critical domains:clinical classification,pathophysiological mechanisms,clinical manifestations,diagnostic criteria,differential diagnosis,treatment protocols,rehabilitation and return to work,and prevention.

Background: and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking. Methods: This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance. Results: Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal. Conclusions The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.