BACKGROUND:Osteoporotic fracture is the most serious complication of osteoporosis.Previous studies have demonstrated that gut microbiota has a regulatory effect on skeletal tissue and that gut microbiota has an important relationship with osteoporotic fracture,but the causal relationship between the two is unclear. OBJECTIVE:To explore the causal relationship between gut microbiota and osteoporotic fractures using Mendelian randomization method. METHODS:The genome-wide association study(GWAS)datasets of gut microbiota and osteoporotic fracture were obtained from the IEU Open GWAS database and the Finnish database R9,respectively.Using gut microbiota as the exposure factor and osteoporotic fracture as the outcome variable,Mendelian randomization analyses with random-effects inverse variance weighted,MR-Egger regression,weighted median,simple model,and weighted model methods were performed to assess whether there is a causal relationship between gut microbiota and osteoporotic fracture.Sensitivity analyses were performed to test the reliability and robustness of the results.Reverse Mendelian randomization analyses were performed to further validate the causal relationship identified in the forward Mendelian randomization analyses. RESULTS AND CONCLUSION:The results of this Mendelian randomization analysis indicated a causal relationship between gut microbiota and osteoporotic fracture.Elevated abundance of Actinomycetales[odds ratio(OR)=1.562,95%confidence interval(CI):1.027-2.375,P=0.037),Actinomycetaceae(OR=1.561,95%CI:1.027-2.374,P=0.037),Actinomyces(OR=1.544,95%CI:1.130-2.110,P=0.006),Butyricicoccus(OR=1.781,95%CI:1.194-2.657,P=0.005),Coprococcus 2(OR=1.550,95%CI:1.068-2.251,P=0.021),Family ⅩⅢ UCG-001(OR=1.473,95%CI:1.001-2.168,P=0.049),Methanobrevibacter(OR=1.274,95%CI:1.001-1.621,P=0.049),and Roseburia(OR=1.429,95%CI:1.015-2.013,P=0.041)would increase the risk of osteoporotic fractures in patients.Elevated abundance of Bacteroidia(OR=0.660,95%CI:0.455-0.959,P=0.029),Bacteroidales(OR=0.660,95%CI:0.455-0.959,P=0.029),Christensenellacea(OR=0.725,95%CI:0.529-0.995,P=0.047),Ruminococcaceae(OR=0.643,95%CI:0.443-0.933,P=0.020),Enterorhabdus(OR=0.558,95%CI:0.395-0.788,P=0.001),Eubacterium rectale group(OR=0.631,95%CI:0.435-0.916,P=0.016),Lachnospiraceae UCG008(OR=0.738,95%CI:0.546-0.998,P=0.048),and Ruminiclostridium 9(OR=0.492,95%CI:0.324-0.746,P=0.001)would reduce the risk of osteoporotic fractures in patients.We identified 16 gut microbiota associated with osteoporotic fracture by the Mendelian randomization method.That is,using gut microbiota as the exposure factor and osteoporotic fracture as the outcome variable,eight gut microbiota showed positive causal associations with osteoporotic fracture and another eight gut microbiota showed negative causal associations with osteoporotic fracture.The results of this study not only identify new biomarkers for the early prediction of osteoporotic fracture and potential therapeutic targets in clinical practice,but also provide an experimental basis and theoretical basis for the study of improving the occurrence and prognosis of osteoporotic fracture through gut microbiota in bone tissue engineering.

Objective: To explore the factors affecting language development delay among children aged <3 years, so as to provide a basis for the prevention and early intervention of children's language development problems. Methods: Eighty-one children aged <3 years with language development delay who visited the children's language development clinic of Shaoxing Maternal and Child Health Hospital from January to December 2024 as the case group. Meanwhile, 118 children who underwent routine physical examinations at the children's health clinic during the same period, had normal language development were randomly selected as the control group. Data on children's basic information, parenting environment, and screen exposure were collected through questionnaire surveys. Language development delay was assessed using the Early Language Milestone Scale and the Gesell Developmental Diagnosis Scale. The factors for language development delay were analyzed using a multivariable logistic regression model. Results: The case group comprised 81 children, including 56 boys (69.14%) and 25 girls (30.86%), with a mean age of (23.14±4.84) months. The control group consisted of 118 children, including 81 boys (68.64%) and 37 girls (31.36%), with a mean age of (23.81±4.60) months. Multivariable logistic regression analysis showed that daily parental companionship time of ≥2 hours (OR=0.121, 95%CI: 0.040-0.367), attending childcare institutions (OR=0.103, 95%CI: 0.030-0.352), the average daily screen exposure time <1 hour (OR=0.614, 95%CI: 0.400-0.942), interactive parental accompaniment during screen exposure (OR=0.350, 95%CI: 0.157-0.779), and restricting screen exposure time (OR=0.162, 95%CI: 0.056-0.470) were associated with a lower risk of language development delay among children aged <3 years. Conclusion Daily paternal companionship of 2 hours or more, attending childcare institutions, daily screen exposure time of less than 1 hour, interactive parental companionship during screen time, and limiting screen exposure time can reduce the risk of language developmental delay among children aged under 3 years.

Objective:s To investigate the risk factors for delayed encephalopathy after acute carbon monoxide poisoning (DEACMP) in patients with acute carbon monoxide poisoning (ACOP) and to develop predictive models based on machine learning algorithms.Methods:Patients with ACOP hospitalized at the First Affiliated Hospital of Zhengzhou University from August 2019 to October 2024 were included, with the occurrence of DEACMP as the outcome measure. The dataset was randomly divided into training and validation sets at a ratio of 7:3. Lasso regression was used to select features influencing the outcome in training sets. Nine machine learning models—including Random Forest (RF), Extreme Gradient Boosting (XGBoost), and Support Vector Machine (SVM)—were constructed. Receiver operating characteristic (ROC) curves were plotted and the area under the curve (AUC) calculated for each model. Calibration curves were used to assess accuracy, and decision curve analysis (DCA) was applied to evaluate clinical utility. The SHapley Additive exPlanations (SHAP) method was employed to visualize and interpret the best-performing model.Results:A total of 264 ACOP patients were included, of whom 54 (20.5%) developed DEACMP. Lasso regression identified eight key feature variables. Based on these factors, predictive models were constructed, showing good AUC stability across the nine machine learning models in both training (0.92–0.99) and validation sets (0.85–0.91). The RF model performed best, with an AUC of 0.99 in the training set and 0.90 in the validation set; its calibration curve and DCA curve also demonstrated excellent performance. SHAP analysis of the RF model revealed the importance ranking of factors from highest to lowest as follows: Glasgow Coma Scale (GCS) score, duration of coma, age, history of coronary heart disease, CK-MB level, monocyte count, diastolic blood pressure (DBP), and drinking history.Conclusions:The RF model exhibited the highest predictive performance for DEACMP occurrence in ACOP patients. The influencing factors, ranked in order of importance from highest to lowest, are as follows: GCS score, duration of coma, age, history of coronary heart disease, CK-MB level, monocyte count, DBP, and drinking history.

Ferroptosis is a unique iron-dependent cell death pattern,a novel death phenotype distinct from apoptosis,va-rious forms of necrosis,and autophagy.Numerous active ingredients extracted from traditional Chinese medicine have been found to exert anti-cancer effects by inducing ferroptosis in various cancers.An increasing number of studies have found that the regulation of ferroptosis can influence the sensitivity of tumor cells to drugs and even reverse drug resistance.When combined with chemo-therapy drugs such as cisplatin,5-FU and gemcitabine,some natural products enhance cancer cells'sensitivity to chemothera-peutic drugs by inducing ferroptosis.This paper mainly summarizes traditional Chinese medicine and its natural products that can exert anti-cancer effects by inducing ferroptosis,providing new insights for cancer treatment and drug resistance reversal.Addition-ally,it contributes to exploring the potential advantages of traditional Chinese medicine,thereby expanding its scope of applica-tion.

In recent years,enhanced recovery after surgery(ERAS)has been widely used in clinical practice,aiming to optimize perioperative management measures through evidence-based medicine and reduce the physical and mental trauma,stress reactions,and complications of surgical patients through multidisciplinary collaboration.This paper examined the clinical practice of ERAS from the perspective of medical humanities,reviewed its development and characteristics,and first pointed out that the concept of"minimal harm"laid the medical humanities foundation for ERAS.However,the concept of"minimum harm"faced ethical and realistic challenges in practice,such as differentiated cognition between benefits and non-harm,the tension between generalization and personalization,and the gap between rehabilitation continuity and family care.This paper led into the caregiving perspective of social sciences,proposed"optimal care"as a supplement to the medical humanities concept of ERAS,and introduced its connotation and practice.The combination of"minimal harm"and"optimal care"can provide theoretical guidance for medical humanistic care in ERAS and innovate the practical path of medical humanities into clinical practice.

In recent years,enhanced recovery after surgery(ERAS)has been widely used in clinical practice,aiming to optimize perioperative management measures through evidence-based medicine and reduce the physical and mental trauma,stress reactions,and complications of surgical patients through multidisciplinary collaboration.This paper examined the clinical practice of ERAS from the perspective of medical humanities,reviewed its development and characteristics,and first pointed out that the concept of"minimal harm"laid the medical humanities foundation for ERAS.However,the concept of"minimum harm"faced ethical and realistic challenges in practice,such as differentiated cognition between benefits and non-harm,the tension between generalization and personalization,and the gap between rehabilitation continuity and family care.This paper led into the caregiving perspective of social sciences,proposed"optimal care"as a supplement to the medical humanities concept of ERAS,and introduced its connotation and practice.The combination of"minimal harm"and"optimal care"can provide theoretical guidance for medical humanistic care in ERAS and innovate the practical path of medical humanities into clinical practice.

In recent years,enhanced recovery after surgery(ERAS)has been widely used in clinical practice,aiming to optimize perioperative management measures through evidence-based medicine and reduce the physical and mental trauma,stress reactions,and complications of surgical patients through multidisciplinary collaboration.This paper examined the clinical practice of ERAS from the perspective of medical humanities,reviewed its development and characteristics,and first pointed out that the concept of"minimal harm"laid the medical humanities foundation for ERAS.However,the concept of"minimum harm"faced ethical and realistic challenges in practice,such as differentiated cognition between benefits and non-harm,the tension between generalization and personalization,and the gap between rehabilitation continuity and family care.This paper led into the caregiving perspective of social sciences,proposed"optimal care"as a supplement to the medical humanities concept of ERAS,and introduced its connotation and practice.The combination of"minimal harm"and"optimal care"can provide theoretical guidance for medical humanistic care in ERAS and innovate the practical path of medical humanities into clinical practice.

In recent years,enhanced recovery after surgery(ERAS)has been widely used in clinical practice,aiming to optimize perioperative management measures through evidence-based medicine and reduce the physical and mental trauma,stress reactions,and complications of surgical patients through multidisciplinary collaboration.This paper examined the clinical practice of ERAS from the perspective of medical humanities,reviewed its development and characteristics,and first pointed out that the concept of"minimal harm"laid the medical humanities foundation for ERAS.However,the concept of"minimum harm"faced ethical and realistic challenges in practice,such as differentiated cognition between benefits and non-harm,the tension between generalization and personalization,and the gap between rehabilitation continuity and family care.This paper led into the caregiving perspective of social sciences,proposed"optimal care"as a supplement to the medical humanities concept of ERAS,and introduced its connotation and practice.The combination of"minimal harm"and"optimal care"can provide theoretical guidance for medical humanistic care in ERAS and innovate the practical path of medical humanities into clinical practice.

Objective:To identify diagnostic markers related to oxidative stress in chronic rhinosinusitis with nasal polyps (CRSwNP) by analyzing transcriptome sequencing data, and to investigate their roles in CRSwNP.Methods:Utilizing four CRSwNP sequencing datasets, differentially expressed genes (DEGs) analysis, weighted gene co-expression network analysis (WGCNA), and three machine learning methods for Hub gene selection were performed in this study. Subsequent validation was carried out using external datasets, as well as real-time quantitative polymerase chain reaction (Real-time qPCR), and immunofluorescence staining of clinical samples. Moreover, the diagnostic efficacy of the genes was assessed by receiver operating characteristic (ROC) curve, followed by functional and pathway enrichment analysis, immune-related analysis, and cell population localization. Additionally, a competing endogenous RNA (CeRNA) network was constructed to predict potential drug targets. Statistical analysis and plotting were conducted using SPSS 26.0 and Graphpad Prism9 software.Results:Through data analysis and clinical validation, CP, SERPINF1 and GSTO2 were identified among 4 138 DEGs as oxidative stress markers related to CRSwNP. Specifically, the expression of CP and SERPINF1 increased in CRSwNP, whereas that of GSTO2 decreased, with statistically significant differences ( P<0.05). Additionally, an area under the curve (AUC)>0.7 indicated their effectiveness as diagnostic indicators. Importantly, functional analysis indicated that these genes were mainly related to lipid metabolism, cell adhesion migration, and immunity. Single-cell data analysis revealed that SERPINF1 was mainly distributed in epithelial cells, stromal cells, and fibroblasts, while CP was primarily located in epithelial cells, and GSTO2 was minimally present in the epithelial cells and fibroblasts of nasal polyps. Consequently, a CeRNA regulatory network was constructed for the genes CP and GSTO2. This construction allowed for the prediction of potential drugs that could target CP. Conclusion:This study successfully identifies CP, SERPINF1 and GSTO2 as diagnostic and therapeutic markers related to oxidative stress in CRSwNP.

Objective To explore the effect of compound active tea of Lithocarpus litseifolius on uric acid levels and kidney function of mice with hyperuricemia nephropathy and to provide an experimental basis for the development of hyperuricemia nephropathy drugs and functional food.Methods A mouse model of hyperuricemia nephropathy was established by administering potassium oxazinate with adenine.Mice were randomly divided into common,model,positive drug(10 mg/(kg·d))and compound active tea of Lithocarpus litseifolius high-,middle-and low-dose groups(10 g/(kg ·d),3.33 g/(kg·d)and 1.11g/(kg·d),respectively).One hour after the last gavage,urine protein(UP)was measured by CBB method,urea nitrogen(UUN)was measured by urease method.Orbital blood pampling,blood was collected for uric acid(UA)analysis by enzyme ratio method,urea nitrogen(BUN)was measured by urease method.The serum contents of interleukin 6(IL-6)and tumor necrosis factor(TNF-α)were measured by ELISA.Take kidney tissue,levels of urate transporter 1(URAT1)and glucose transporter 9(GLUT9)were measured by quantitative fluorescence,kidney histopathological changes were observed by HE stainning.Results Compared with the control group,the model group's levels of UP,UUN,UA,BUN,IL-6,URAT1,ULUT9 and TNF-α were significantly increased(P＜0.01,P＜0.05),and the renal tissue structure was normal.Compared with the model group,the positive group's levels of UP,UUN,UA,BUN,IL-6 and TNF-α were significantly decreased(P＜0.01,P＜0.05),there was little glomerular atrophy or deformation in the kidneys,kidney tubular dilatation was occasionally seen,but there was no inflammatory cell infiltration.Compared with the model group,the high-dose compound active tea of Lithocarpus litseifolius group's UP,UUN,UA,BUN,IL-6,URAT1,TNF-α and GLUT9 levels were significantly decreased(P＜0.01,P＜0.05).The middle-dose compound active tea of Lithocarpus litseifolius group's UP,UUN,UA content,IL-6,URAT 1,GLUT9,BUN and TNF-αwere significantly decreased(P＜0.01,P＜0.05).The low-dose compound active tea of Lithocarpus litseifolius group's UP,UUN,UA,IL-6,URAT1,BUN,TNF-α and GLUT9 levels were significantly decreased(P＜0.01,P＜0.05).Conclusions Compound active tea of Lithocarpus litseifolius can reduce uric acid in mice with hyperuricemia nephropathy and has a certain protective effect on the kidneys.The mechanism may be related to the inhibition of uric acid reabsorption,and the specific mechanistic details should be further investigated.