Objective: To investigate the value of the Chinese visceral adiposity index (CVAI) in predicting hypertension risk, so as to provide a tool for the early assessment of hypertension risk. Methods: Health examination individuals aged ≥18 years were selected from four medical institutes in Jinhua City, Zhejiang Province in 2022. Data on basic information, lifestyle, disease history, body mass index, waist circumference, blood pressure, and blood biochemical indicators were collected through questionnaire surveys and physical examinations. CVAI was calculated to assess levels of visceral fat accumulation, divided by quartiles into Q1, Q2, Q3, and Q4 groups. The relationship between CVAI and hypertension was analyzed using a multivariable logistic regression model, and their dose-response relationship was examined using a restricted cubic spline model. The value of CVAI in predicting hypertension risk was evaluated using receiver operating characteristic (ROC) curve. Results: A total of 23 791 individuals were enrolled, with a median age of 68.00 (interquartile range, 14.00) years. Among them, 10 178 (42.78%) were males and 13 613 (57.22%) were females. The median CVAI was 111.40 (interquartile range, 48.23). Hypertension was identified in 15 563 cases, with a prevalence of 65.42%. After adjusting for lifestyle, disease history, and blood biochemical indicators, the multivariable logistic regression analysis revealed that hypertension risk in the CVAI Q2, Q3, and Q4 groups were 2.012 (95%CI: 1.865-2.170), 3.059 (95%CI: 2.826-3.311), and 5.099 (95%CI: 4.672-5.565) times that of the Q1 group, respectively. The restricted cubic spline model revealed a non-linear relationship between CVAI and hypertension risk (Pnon linearity<0.05). Hypertension risk increased more rapidly when the CVAI was ≥81.03. The area under the ROC curve for CVAI in predicting hypertension risk was 0.691, with an optimal cutoff value of 106.01, which falls within the Q2 group. Conclusions There was a nonlinear dose-response relationship between CVAI and hypertension. CVAI can predict the risk of hypertension, and 106.01 can serve as an early warning threshold for risk screening.

Objective:To investigate the effects of area of the posterior malleolus fracture and injury to the distal tibiofibular syndesmosis on functional recovery of the ankle joint in Bartoní?ek type 2 ankle fractures.Methods:A retrospective analysis was conducted of the clinical data of 47 patients with Bartoní?ek type 2 ankle fracture who had been treated at Department of Orthopedics, Huashan Hospital Affiliated to Fudan University from January 2016 to January 2022. There were 22 males and 25 females with an age of (46.0±15.6) years. All patients were treated by open reduction and closed reduction. Pearson correlation analysis and multiple regression analysis were used to investigate the relationships respectively between the American Association of Foot and Ankle Surgeons (AOFAS) ankle-hindfoot scores at the last follow-up and the preoperative proportion of posterior ankle fracture area, and the anterior and posterior tibiofibular distances.Results:All patients were followed up for (17.2±0.6) months after surgery. The Pearson correlation analysis showed that the proportion of posterior ankle fracture area ( P=0.160) and the posterior tibiofibular distance ( P=0.078) were significantly correlated with the AOFAS ankle-hindfoot score at the last follow-up. There was no significant correlation between the anterior tibiofibular distance and the AOFAS ankle-hindfoot score at the last follow-up ( P=0.689). The multiple regression analysis showed that the proportion of posterior ankle fracture area ( P=0.043) and the posterior tibiofibular distance ( P=0.022) had significant negative effects on the AOFAS ankle-hindfoot score at the last follow-up. Conclusions:In Bartoní?ek type 2 ankle fractures, the proportion of posterior ankle fracture area and the posterior tibiofibular distance are important predictors for postoperative functional recovery of the ankle. Therefore, in Bartoní?ek type 2 ankle fractures, surgical indications for the posterior malleolar fracture depend not only on the size of the fracture, but also on whether the fracture involves the lower tibiofibular syndesmosis.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Inflammatory bowel disease (IBD), a chronic recurrent inflammatory bowel disease, is associated with depression and anxiety. Intestinal inflammation increases susceptibility to psychiatric disorders through a multidimensional network of immune-inflammatory, neuroendocrine, intestinal flora, and intestinal barrier abnormalities. Conversely, psychiatric stress exacerbates the pathology of IBD through immune regulation, intestinal barrier disruption, and microenvironmental alterations. Therefore, it is important to explore the mechanisms of comorbidity between IBD and depression and anxiety to optimise clinical management. This article reviews the comorbid mechanisms of IBD and depression and anxiety from the perspectives of immune-inflammatory axis, intestinal flora-metabolic pathway, intestinal barrier dysfunction, and neuroendocrine regulation in the context of rodent models, and explore potential intervention strategies, with the aim of providing new ideas and targets for therapeutic and transformation research in this field.

OBJECTIVES: Neuropathic pain (NP) is one of the most common forms of chronic pain, yet current treatment options are limited in effectiveness. Peripheral nerve injury activates spinal microglia, altering their inflammatory response and phagocytic functions, which contributes to the progression of NP. Most current research on NP focuses on microglial inflammation, with relatively little attention to their phagocytic function. Early growth response factor 2 (EGR2) has been shown to regulate microglial phagocytosis, but its specific role in NP remains unclear. This study aims to investigate how EGR2 modulates microglial phagocytosis and its involvement in NP, with the goal of identifying potential therapeutic targets. METHODS: Adult male Sprague-Dawley (SD) rats were used to establish a chronic constriction injury (CCI) model of the sciatic nerve. Pain behaviors were assessed on days 1, 3, 7, 10, and 14 post-surgery to confirm successful model induction. The temporal and spatial expression of EGR2 in the spinal cord was examined using real-time quantitative PCR (RT-qPCR), Western blotting, and immunofluorescence staining. Adeno-associated virus (AAV) was used to overexpress EGR2 in the spinal cord, and behavioral assessments were performed to evaluate the effects of EGR2 modulation of NP. CCI and lipopolysaccharide (LPS) models were established in animals and microglial cell lines, respectively, and changes in phagocytic activity were measured using RT-qPCR and fluorescent latex bead uptake assays. After confirming the involvement of microglial phagocytosis in NP, AAV was used to overexpress EGR2 in both in vivo and in vitro models, and phagocytic activity was further evaluated. Finally, eukaryotic transcriptome sequencing was conducted to screen differentially expressed mRNAs, followed by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses to identify potential downstream effectors of EGR2. RESULTS: The CCI model successfully induced NP. Following CCI, EGR2 expression in the spinal cord was upregulated in parallel with NP development. Overexpression of EGR2 via spinal AAV injection enhanced microglial phagocytic activity and increased pain hypersensitivity in rats. Both animal and cellular models showed that CCI or LPS stimulation enhanced microglial phagocytosis, which was further amplified by EGR2 overexpression. Transcriptomic analysis of spinal cord tissues from CCI rats overexpressing EGR2 revealed upregulation of numerous genes associated with microglial phagocytosis and pain regulation. Among them, Lag3 emerged as a potential downstream target of EGR2. CONCLUSIONS EGR2 contributes to the maintenance of NP by enhancing microglial phagocytosis in the spinal dorsal horn.
Animals ; Microglia/metabolism* ; Phagocytosis/physiology* ; Rats, Sprague-Dawley ; Neuralgia/physiopathology* ; Early Growth Response Protein 2/metabolism* ; Male ; Rats ; Spinal Cord/metabolism* ; Sciatic Nerve/injuries*

Objective To observe the value of machine learning(ML)models based on brain functional network features combining clinical indicators for predicting postoperative outcomes of patients with drug-resistant mesial temporal lobe epilepsy(DR-mTLE).Methods Totally 84 patients with unilateral DR-mTLE who underwent surgery were retrospectively enrolled and classified into seizure free(SF)group(n=55)and non-seizure free(NSF)group(n=29)according to one-year postoperative follow-up.Clinical data were analyzed to screen independent predictors of postoperative outcomes.Based on brain preoperative resting-state functional MRI,brain functional networks were constructed using graph theory analysis,and 587 features were extracted.Five-fold cross validation was used to divide the data into training set and test set,then the optimal brain functional network features related to postoperative outcomes of DR-mTLE patients were selected.Combining with clinically relevant independent predictors,ML models were constructed using classifiers including Gaussian process(GP),logistic regression(LR),support vector machine(SVM)and quadratic discriminant analysis(QDA),respectively,and the prediction efficacy,calibration and clinical value of each ML model were evaluated.Results Both course of disease and lesion location were clinically relevant independent predictors of postoperative outcome of DR-mTLE patients(OR=0.928,5.710,P=0.010,0.016).Four optimal brain function network features were selected,including betweenness centrality of the third zone of cerebellar vermis,degree centrality of right globus pallidus,nodal efficiency of temporal left inferior temporal gyrus and nodal clustering coefficient of left inferior parietal lobule.The average area under the curve(AUC)of GP,LR,SVM and QDA models in test set was 0.868,0.864,0.875 and 0.870,respectively.Calibration curves and decision curve analysis indicated that each ML model had good calibration and high clinical net benefit.Conclusion ML models based on brain functional network features combining with clinical indicators could be used to effectively predict postoperative outcomes in DR-mTLE patients.

Health behavior motivation significantly affects the quality of life of patients with cardiovascular diseases.Assessing the level of health behavior motivation can measure the health behavior of individuals,help to promote the participation rate of cardiac rehabilitation,reduce the readmission rate of patients,and promote patients'healthy lifestyles.This article reviews the content,characteristics and application of assessment tools for health behavior motivation of patients with cardiovascular diseases at home and abroad,with the aim of providing references for the development and application of such tools in China,and offering a basis for scientifically assessing their health behavior motivation level and formulating effective strategies to promote health behavior motivation.

This research aimed to comprehensively understand the prevalence of mutation in drug-resistant molecular markers of imported Plasmodium vivax in Chongqing,the Pvmdr1,Pvdhps,Pvdhfr,Pvcrt-o and Pvk12 genes of Plasmodium vivax were systematically analyzed.Blood samples were collected from imported Plasmodium vivax-infected patients in Chongqing between 2011 and 2022.The Pvmdr1,Pvdhps,Pvdhfr,Pvcrt-o,and Pvk12 genes were amplified and then sequenced to precisely evaluate gene mutations.Bioinformatics methods were employed to conduct in depth analysis of the mutation prevalence.Regarding the Pvdhfr gene,mutations at codons 50,57,58,61,99,117,and 199 were detected in 2.9%,23.5%,76.4%,23.53%,2.9%,82.3%,and 5.88%of the samples,respectively.The double-mutant haplotype S58R/S117N was the most prevalent,accounting for 50%,followed by the quadruple-mutant haplotype F57L/S58R/T61M/S117T,which accounted for 11.76%.Among the four types of tandem-repeat variations of Pvdhfr,the wild-type was the most common,and the insertion type was a novel discovery in this study.For the Pvdhps gene,the prevalence among mutation genotypes was relatively low.The single-mutant genotype was dominant,constituting 27.03%.The prevalence of Pvmdr1 mutations at codons 958 and 1076 was 100%and 89.19%,respectively.Among the 37 successfully sequenced samples,K10 insertion was detected in only 8 cases(22.22%).Notably,no non-synonymous mutations of Pvk12 were identified in this study.The cases in this study were imported from various countries of origin.Novel tandem-repeat variation tyres of Pvdhfr and new mutation sites of Pvdhps were identifide,thus enriching the mutation information of imported Plasmodium vivax resistance molecular markers in China.

The treatment process of multiple fertilization failure and salvage fertilization in a male infertile patient was retrospectively analyzed. The patient underwent in vitro fertilization (IVF) and intracytoplasmic sperm injection (ICSI) in another hospital for 3 cycles, all of which had fertilization abnormalities. The complex heterozygous mutation of PLCZ1 gene was detected by infertility gene paneland confirmed by Sanger sequencing in the Reproductive Medicine Center of Renmin Hospital, Hubei University of Medicine, and the gene mutation was derived from both parents. No abnormal mutations were found in the woman's genetic testing. The woman underwent progestin-primed ovarian stimulation, resulting in the retrieval of 9 oocytes. ICSI combined with 10 μmol/L ionomycin assisted oocyte activation (AOA) was applied to all mature eggs,resulting in 7 normal fertilized oocytes and 7 cleavage embryos, 2 high-quality cleavage embryos were frozen. Two months later, the woman underwent frozen-thawed embryo transfer to obtain biochemical pregnancy. Simultaneously, we reviewed the literature on PLCZ1 gene mutations and AOA related literature at home and abroad. From this case we can draw the following conclusions: 1) When no fertilization or polyspermia occurs in an IVF cycle and total fertilization fails in ICSI, genetic testing of both spouses is required to find genetic factors. 2) The mutation of PLCZ1 gene mainly leads to fertilization failure. ICSI combined with AOA is an effective method to rescue fertilization failure. Ionomycin has a significant effect on oocyte activation, and has no effect on embryo formation. However, we still need to accumulate case data to verify the safety of ionomycin AOA.

BACKGROUND:Cognitive impairment is the most common complication after stroke,and its severity is closely related to the patient's prognosis.The prognosis of patients can be significantly improved if the severity of their cognitive impairment is recognized and targeted early.OBJECTIVE:To initially explore potential biomarkers affecting the progression of post-stroke cognitive impairment,thereby providing a richer and unique reference for the study of their pathophysiological mechanisms.METHODS:Using ultra performance liquid chromatography-mass spectrometry,non-targeted metabolomics analysis was conducted on serum samples from patients with mild and moderate post-stroke cognitive impairment to identify differential metabolites between the two groups.To further validate the diagnostic efficacy of the differential metabolites,the receiver operating characteristic curve analysis was used to evaluate their accuracy and sensitivity in distinguishing disease severity.In addition,pathway analysis was conducted on the differential metabolites.RESULTS AND CONCLUSION:(1)There were significant differences in metabolic profiles between patients with mild and moderate post-stroke cognitive impairment,and 9 differential metabolites were screened by the receiver operating characteristic curve.(2)Differential metabolite pathway analysis revealed that the metabolic pathways affecting disease progression in patients with mild-to-moderate post-stroke cognitive impairment included tryptophan metabolism,D-amino acid metabolism,biotin metabolism,retinol metabolism,aminoacyl-tRNA biosynthesis,lysine degradation,protein digestion and uptake,pyrimidine metabolism,cysteine and methionine metabolism,ABC transporter proteins,amino acid biosynthesis,and 2-oxocarboxylic acid metabolism.To conclude,9 potential biomarkers affecting disease progression in patients with mild-to-moderate post-stroke cognitive impairment have been identified,involving 12 metabolic pathways including tryptophan metabolism,D-amino acid metabolism and retinol metabolism.