OBJECTIVE To develope a predictive model for medication deviation risks during the hospital-to-home transition period in coronary heart disease （CHD） patients with initial treatment， aiming to assist medical staff in rapidly identifying high-risk groups for medication deviation. METHODS A total of 462 CHD patients with initial treatment from the Affiliated Hospital of North China University of Science and Technology （hereinafter referred to as “our hospital”） between January and July 2024 were enrolled. The patients were randomly divided into a modeling group and an internal validation group. The modeling group was further categorized into a medication deviation group and a non-medication deviation group based on whether medication deviations occurred. Similarly， 57 CHD patients with initial treatment from the cardiology department of our hospital between June and September 2025 were collected as an external validation group. Univariate analysis was used to screen predictive factors， followed by multivariate Logistic regression to construct the predictive model. Internal validation methods were employed to evaluate model performance， while external validation methods were used to test the model’s generalizability. RESULTS The 462 patients were divided into a modeling group （319 cases） and an internal validation group （143 cases）. In the modeling group， the medication deviation group （192 cases， 60.19%） and the non-medication deviation group （127 cases， 39.81%） were identified. Multivariate Logistic regression analysis revealed that age， medication type， medication adherence， and self-efficacy in rational medication use were predictive factors for medication deviations in CHD patients with initial treatment （ P ＜0.05）. The predictive model equation was logit P ＝ln[ P /（1－ P ） ] ＝1.321+1.732×age+4.091×medication type －4.360×medication adherence －3.081×self-efficacy in rational medication use. The model demonstrated good discrimination， with a Hosmer-Lemeshow goodness-of-fit test P -value of 0.439， an area under the receiver operating characteristic curve （AUC） of 0.870， sensitivity of 0.970， and specificity of 0.607. A risk nomogram with a total score of 350 points and a cutoff value of 110 points was plotted. The internal validation group showed an AUC o f 0.787 and a prediction accuracy of 77.6%， while the external validation group exhibited an AUC of 0.802 and a prediction accuracy of 73.7%. CONCLUSIONS This study successfully developed a predictive model for medication deviation risks during the hospital-to-home transition period in CHD patients with initial treatment. The model demonstrates excellent discrimination and predictive accuracy， effectively identifying high-risk populations for medication deviations. Age （＞70 years）， number of drug types≥5， poor medication adherence， and poor self-efficacy in rational medication use are independent risk factors for medication deviations.

Ursodeoxycholic acid(UDCA)is a naturally occurring,low-toxicity,and hydrophilic bile acid(BA)in the human body that is converted by intestinal flora using primary BA.Solute carrier family 7 member 11(SLC7A11)functions to uptake extracellular cystine in exchange for glutamate,and is highly expressed in a variety of human cancers.Retroperitoneal liposarcoma(RLPS)refers to liposarcoma originating from the retroperitoneal area.Lipidomics analysis revealed that UDCA was one of the most significantly down-regulated metabolites in sera of RIPS patients compared with healthy subjects.The augmentation of UDCA concentration(≥25 μg/mL)demonstrated a suppressive effect on the proliferation of liposarcoma cells.[15N2]-cystine and[13Cs]-glutamine isotope tracing revealed that UDCA impairs cystine uptake and glutathione(GSH)synthesis.Mechanistically,UDCA binds to the cystine transporter SLC7A11 to inhibit cystine uptake and impair GSH de novo synthesis,leading to reactive oxygen species(ROS)accumulation and mitochondrial oxidative damage.Furthermore,UDCA can promote the anti-cancer effects of ferroptosis inducers(Erastin,RSL3),the murine double minute 2(MDM2)inhibitors(Nutlin 3a,RG7112),cyclin dependent kinase 4(CDK4)inhibitor(Abemaciclib),and glutaminase inhibitor(CB839).Together,UDCA functions as a cystine exchange factor that binds to SLC7A11 for antitumor activity,and SLC7A11 is not only a new transporter for BA but also a clinically applicable target for UDCA.More importantly,in combination with other antitumor chemotherapy or physiotherapy treatments,UDCA may provide effective and promising treatment strategies for RLPS or other types of tumors in a ROS-dependent manner.

Ferroptosis of chondrocytes is a significant contributor to osteoarthritis(OA),for which there is still a lack of safe and effective therapeutic drugs targeting ferroptosis.Here,we screen for anti-ferroptotic drugs in Food and Drug Administration(FDA)-approved drug library via a high-throughput manner in chondrocytes.We identified a group of FDA-approved anti-ferroptotic drugs,among which vitamin K showed the most powerful protective effect.Further study demonstrated that vitamin K effectively inhibited ferroptosis and alleviated the extracellular matrix(ECM)degradation in chondrocytes.Intra-articular injection of vitamin K inhibited ferroptosis and alleviated OA phenotype in destabilization of the medial meniscus(DMM)mouse model.Mechanistically,transcriptome sequencing and knockdown experiments revealed that the anti-ferroptotic effects of vitamin K depended on growth arrest-specific 6(Gas6).Furthermore,exogenous expression of Gas6 was found to inhibit ferroptosis through the AXL receptor tyrosine kinase(AXL)/phosphatidylinositol 3-kinase(PI3K)/AKT serine/threonine kinase(AKT)axis.Together,we demonstrate that vitamin K inhibits ferroptosis and alleviates OA progression via enhancing Gas6 expression and its downstream pathway of AXL/PI3K/AKT axis,indicating vitamin K as well as Gas6 to serve as a potential therapeutic target for OA and other ferroptosis-related diseases.

Objective To understand the medical decision-making preferences of doctors in tertiary grade A hospitals,providing evidence to promote clinical guidelines and improve healthcare service value.Methods A discrete choice model was constructed using the Delphi method.A total of 106 valid samples were collected via a questionnaire survey.The mixed logit model was used to assess doctors' preferences in medical decision-making across scenarios of hypertension,abdominal infection,and IgA nephropathy,analyzing heterogeneity in decision-making preferences based on doctors' characteristics.Results Overall,treatment efficacy,patient preference,and the value of medical exploration significantly influenced doctors' decision-making preferences(P＜0.05).In hypertension and IgA nephropathy scenarios,adverse reactions had a significant impact on decision-making preferences(P＜0.001).The relative importance of decision-making attributes was treatment efficacy＞adverse reactions＞patient preference＞medical exploration value＞cost control.Doctors with higher education levels valued treatment efficacy more in abdominal infection and IgA nephropathy scenarios(P＜0.05)and adverse reactions more in hypertension scenarios(P＜0.05).Conclusion Treatment efficacy is the primary factor in medical decision-making.Cost control plays a limited role in current decision-making,and preferences vary by disease specificity across different clinical practice scenarios.

AIM To investigate the clinical effects of Yifei Tongluo Decoction combined with azithromycin on patients with childern severe Mycoplasma pneumoniae pneumonia due to Toxic Heat Blocking Lung.METHODS One hundred and fifty-six patients were randomly assigned into control group(78 cases)for 7-day administration of azithromycin,and observation group(78 cases)for 7-day administration of both Yifei Tongluo Decoction and azithromycin.The changes in clinical effects,disappearance time of local symptoms,mycoplasmas,pulmonary imaging score,Toxic Heat Blocking Lung score,pulmonary function indices(PEF,VPTEF,MMF,TPTEF),inflammatory factors(sB7-H3,Cgp-39,sICAM-1,CCL5),immune function indices(RBC-C3bR,RBC-ICR,CD3+,CD4+)and safety indices were detected.RESULTS The observation group demonstrated higher total effective rate than the control group(P＜0.05),along with shorter disappearance time of local symptoms(P＜0.05).After the treatment,the two groups displayed decreased mycoplasmas,pulmonary imaging score,Toxic Heat Blocking Lung score,inflammatory factors,RBC-ICR(P＜0.05),and increased pulmonary function indices,RBC-C3bR,CD3+,CD4+(P＜0.05),especially for the observation group(P＜0.05).No obvious difference in incidence of adverse reactions was found between the two groups(P＞0.05).CONCLUSION For the patients with childern severe Mycoplasma pneumoniae pneumonia due to Toxic Heat Blocking Lung,Yifei Tongluo Decoction combined with azithromycin can safely and effectively alleviate clinical symptoms,improve pulmonary functions,and reduce body inflammatory responses.

In clinical practice,the diagnosis of hepatocellular carcinoma primarily relies on imaging findings.For cases with atypical imaging features or insufficient diagnostic specificity,pathological analysis remains essential.With the advancement of precision medicine,research focus has expanded from pure diagnostic evaluation to therapeutic efficacy prediction.Imaging-based prognostic biomarkers have emerged as a key research frontier in hepatocellular carcinoma management.Although accurate diagnosis remains paramount,current investigations increasingly prioritize the identification of biomarkers for treatment response prediction and outcome stratification.Recent studies demonstrate that radiological characteristics not only reflect tumor heterogeneity but also carry prognostic implications for hepatocellular carcinoma.These imaging biomarkers enable non-invasive outcome prediction and provide objective evidence to optimize therapeutic decision-making.This comprehensive review summarizes MRI-derived imaging features associated with hepatocellular carcinoma prognosis,aiming to guide personalized treatment strategies and ultimately improve survival outcomes for hepatocellular carcinoma patients.

The technologies for ovarian tissue cryopreservation and entire process for ovarian tissue cryopreservation and transplantation were introduced,and the medical equipment configuration was summarized for each stage of ovarian tissue cryopreservation and transplantation.Detailed plans and management methods were proposed for the medical equipment configuration of ovarian tissue cryopreservation and transplantation,and relevant precautions,possible problems and solutions during the process were put forward.References were provided for medical institutions planning to carry out ovarian tissue cryopreservation and transplantation.[Chinese Medical Equipment Journal,2025,46(4):63-69]

Objective To investigate the characteristics of a novel FANCL mutation identified in a patient with premature ovarian insufficiency(POI)and to explore its potential functional impacts in vitro.Methods A novel FANCL heterozygous mutation c.1033G>A(p.Glu345Lys)was screened in a patient with POI using whole exome sequencing(WES),which was found to be inherited from a mother who had undergone early menopause.The authenticity of the mutation was identified by Sanger sequencing and the conserved nature of the mutation site was predicted by software.Overexpressing FANCL mutant and wildtype plasmids were constructed and transiently transfected into HEK293T cell lines,and the effect of the mutation was detected by qPCR,immunofluorescence and Western blot.Results The mutation site of FANCL was located within the Ring domain of FANCL,which was highly conserved across multiple species.The mutant showed no significant change in mRNA expression level,while the protein expression level was significantly down-regulated.In vitro cellular experiments further revealed that the mutation leads to decreased expression levels by reducing protein stability.Conclusion A FANCL c.1033G>A mutation was found and it may cause disease in the POI patient due to decreased protein stability.

Emotions are an integral part of animal welfare.Facial expressions are increasingly used as a non-invasive method for assessing the emotional state of animals.Dogs(Canis familiaris)are closely related to humans,and facial expressions are crucial for interspecies communication and emotional expression.This paper reviews the neurobiological mechanisms of facial expressions and the anatomical structure of the facial muscles and their evolution in dogs,the analogy between dog and human facial expressions,and the expression of various parts of the dog's face under different emotions.These studies demonstrate that dog's facial expressions can be used as a potential indicator of animal welfare,and that dogs can be used as a model animal for studying interspecies facial emotional communication.The use of dog's facial expressions to assess emotions will aid multidisciplinary research,including in the fields of neuroscience,psychopharmacology,animal behavior,and animal welfare.

Central nervous system(CNS)degenerative disorders refer to a spectrum of pathological alterations triggered by struc-tural damage to cerebral neural tissues,clinically manifested as diverse neurological dysfunction syndromes,including multiple sclerosis(MS),neurodegenerative diseases(NDs),and ische-mic stroke.The hallmark pathological features of these disorders involve irreversible neuronal damage and decompensation of functional neural networks,ultimately leading to progressive neurological deficits.Notably,with the accelerating global popu-lation aging,the incidence of these diseases has surged signifi-cantly.According to WHO statistics,they now rank among the top three global causes of disability and mortality.Current re-search has confirmed that the pathogenesis of CNS degenerative disorders exhibits high heterogeneity,encompassing multifaceted pathophysiological processes such as genetic predisposition,oxi-dative stress,protein misfolding,and metabolic dysregulation.This intricate pathogenic network not only complicates clinical differential diagnosis but also poses substantial challenges to the development of precision therapeutic strategies.Importantly,re-cent studies have revealed that mitochondrial homeostasis disrup-tion-induced inflammatory cascades(termed mitochondrial in-flammation)play a pivotal regulatory role in neurodegenerative progression.Key molecular mechanisms include impaired mito-phagy,aberrant mitochondrial DNA(mtDNA)release and NL-RP3 inflammasome activation.This review systematically deci-phers the molecular regulatory network of mitochondrial inflam-mation,with a focus on its biological effects in critical pathologi-cal events such as blood-brain barrier disruption,microglial hy-peractivation and neuronal apoptosis.The overarching aim is to provide a theoretical foundation for developing innovative thera-peutic strategies targeting mitochondrial homeostasis restoration.