Background: Maturity-onset diabetes of the young (MODY) due to variants of hepatocyte nuclear factor 1-beta (HNF1β) (MODY5) has not been well studied in the Chinese population. This study aimed to estimate its prevalence and evaluate the application of a clinical screening method (Faguer score) in Chinese early-onset diabetes (EOD) patients. Methods: Among 679 EOD patients clinically diagnosed with type 2 diabetes mellitus (age at diagnosis ≤40 years), the exons of HNF1β were sequenced. Functional impact of rare variants was evaluated using a dual-luciferase reporter system. Faguer scores ≥8 prompted multiplex ligation-dependent probe amplification (MLPA) for large deletions. Pathogenicity of HNF1β variants was assessed following the American College of Medical Genetics and Genomics (ACMG) guidelines. Results: Two rare HNF1β missense mutations (E105K and G454R) were identified by sequencing in five patients, showing functional impact in vitro. Another patient was found to have a whole-gene deletion by MLPA in 22 patients with the Faguer score above 8. Following ACMG guidelines, six patients carrying pathogenic or likely pathogenic variant were diagnosed with MODY5. The estimated prevalence of MODY5 in Chinese EOD patients was approximately 0.9% or higher. Conclusion MODY5 is not uncommon in China. The Faguer score is helpful in deciding whether to perform MLPA analysis on patients with negative sequencing results.

In recent years,significant breakthroughs have been achieved in the immunotherapy for Alzheimer's disease.In line with global advancements,two anti-amyloid-β monoclonal antibodies have been approved and successfully launched in China for clinical use.Lecanemab and Donanemab were officially used in June 2024 and April 2025 in China,respectively.In order to standardize the rational and safe application of anti-amyloid-β monoclonal antibodies for Alzheimer's disease in China,this article integrates recom-mendations from the clinical trials and real-world experience from the author's team and domestic peers to further update the recom-mendations for the clinical use of anti-amyloid-β monoclonal antibody based on the 2024 version.It includes indications for therapy,pre-treatment evaluation and preparation,administration protocols and safety measures during treatment,and post-treatment monitor-ing strategies.

Objective:To systematically elucidate the molecular mechanism of hesperetin in the treatment of heart failure by network pharmacology, molecular docking, and molecular dynamics, and to clarify its key targets and pathway regulatory networks.Methods:Potential targets of hesperetin were retrieved from the PubChem, Pharmmapper, SwissTargetPrediction, and Similarity ensemble approach databases. Heart failure-related targets were obtained from the OMIM, GeneCards, and TTD databases. Intersection targets were identified using Venny 2.1. A protein-protein interaction (PPI) network of potential targets was constructed using the STRING database and Cytoscape 3.9.0 software. Gene ontology (GO) functional and Kyoto encyclopedia of genes and genomes (KEGG) pathway enrichment analyses of key targets were performed using the Metascape database. Molecular docking was carried out using Autodock vina1.1.2. GROMACS (2024.03) was employed to conduct a 100 ns molecular dynamics simulation on the optimal affinity complex. The thermodynamic stability of the candidate complex during simulation was evaluated by analyzing the root mean square deviation (RMSD), root mean square fluctuation (RMSF), radius of gyration (Rg), and binding free energy. Data were analyzed by an independent sample t test or one-way analysis of variance. Results:A total of 356 related targets of hesperetin and 2 923 related targets of heart failure were screened, with 152 intersection targets identified as potential targets for hesperetin intervention in heart failure. PPI network topological analysis revealed key targets for hesperetin intervention in heart failure, including insulin-like growth factor 1, estrogen receptor 1 (ER1), cysteine aspartic acid specific protease-3, sarcoma proto-oncogene, matrix metalloproteinase 9 (MMP9), MMP2, Janus kinase 2 (JAK2), albumin, heat shock protein 90 alpha family class A member 1, epidermal growth factor receptor, and B-cell lymphoma-2 (Bcl-2). GO functional enrichment analysis indicated that biological processes were mainly enriched in response to hormone stimulation, positive regulation of cell migration, gland development, response to nutritional levels, regulation of system processes, and response to trauma. Molecular functions were primarily enriched in phosphotransferase activity, nuclear receptor activity, endopeptidase activity, kinase binding, heme binding, hormone binding and protease binding. Cellular components were mainly enriched in membrane-related structures such as vesicle cavity, membrane raft, vacuole cavity, receptor complex and extracellular matrix containing collagen. KEGG pathway enrichment analysis showed that these key targets were significantly enriched in lipid and atherosclerosis, diabetic cardiomyopathy, and the hypoxia-inducible factor-1 signaling pathway. Molecular docking results indicated that the binding energy of hesperetin to MMP9 (?46.442 kJ/mol) was significantly lower than that to other key targets. Molecular dynamics simulations revealed that the hesperetin-MMP9 complex maintained structural stability, with an average RMSD of 1.60 ?. The average RMSF values of MMP9 residues (0.83 ?) and ligand atoms (0.68 ?) indicated stable protein conformation and ligand-binding states. The Rg values of MMP9 [(15.04±0.60) ?] and hesperetin [(4.19±0.35) ?] showed minimal fluctuations, further supporting structural compactness. The total binding free energy of the hesperetin-MMP9 complex during the 100 ns simulation was (?142.3±6.3) kJ/mol, with minimal energy fluctuations, confirming that the complex remained structurally stable without significant energy transition throughout the simulation.Conclusions:Hesperetin may bind effectively to targets such as MMP9, JAK2, Bcl-2, and ER1, and form a stable complex with MMP9. It is suggested to influence biological processes related to lipids and signaling pathways such as atherosclerosis, diabetic cardiomyopathy, and hypoxia-inducible factor-1, thereby playing a role in heart failure intervention.

Background: Maturity-onset diabetes of the young (MODY) due to variants of hepatocyte nuclear factor 1-beta (HNF1β) (MODY5) has not been well studied in the Chinese population. This study aimed to estimate its prevalence and evaluate the application of a clinical screening method (Faguer score) in Chinese early-onset diabetes (EOD) patients. Methods: Among 679 EOD patients clinically diagnosed with type 2 diabetes mellitus (age at diagnosis ≤40 years), the exons of HNF1β were sequenced. Functional impact of rare variants was evaluated using a dual-luciferase reporter system. Faguer scores ≥8 prompted multiplex ligation-dependent probe amplification (MLPA) for large deletions. Pathogenicity of HNF1β variants was assessed following the American College of Medical Genetics and Genomics (ACMG) guidelines. Results: Two rare HNF1β missense mutations (E105K and G454R) were identified by sequencing in five patients, showing functional impact in vitro. Another patient was found to have a whole-gene deletion by MLPA in 22 patients with the Faguer score above 8. Following ACMG guidelines, six patients carrying pathogenic or likely pathogenic variant were diagnosed with MODY5. The estimated prevalence of MODY5 in Chinese EOD patients was approximately 0.9% or higher. Conclusion MODY5 is not uncommon in China. The Faguer score is helpful in deciding whether to perform MLPA analysis on patients with negative sequencing results.

Objective To explore the value of multimodal ultrasound combined with sex hormone detection in evaluating endometrial receptivity in infertile patients.Methods Ninety-five infertile patients who received in vitro fertilization and embryo transfer treatment in Hangzhou Women's Hospital from January 2020 to February 2023 were selected as study objects,and they were divided into pregnant group(55 cases)and non-pregnant group(40 cases)according to the pregnancy status of the first embryo transfer.Sex hormone levels and multimodal ultrasound scores were compared between two groups,and receiver operating characteristic(ROC)curve was drawn to evaluate the value of each indicator in predicting pregnancy of infertile patients individually and in combination.Results The endometrial thickness score,endometrial volume score,vascular blood flow score and multimodal ultrasound score of pregnant group were significantly higher than those of non-pregnant group(P＜0.05).The levels of luteinizing hormone(LH),estradiol(E2)and progesterone(P)in pregnant group were significantly higher than those in non-pregnant group(P＜0.05).ROC curve results showed that the area under the curve(AUC)of LH,E2 and multimodal ultrasound scores in predicting pregnancy in infertile patients were all＞0.7,which had certain predictive value,and the three indicators combined with P had the highest predictive value,with an AUC of 0.889.Conclusion The combination of multimodal ultrasound and sex hormone detection can effectively evaluate the endometrial receptivity of infertile patients,and has certain reference value for predicting the pregnancy status of infertile patients.

Objective To investigate the relationship between platelet distribution width(PDW)and coronary artery calcification(CAC)in overweight and obese populations.Methods Clinical and chest CT data of 10 838 subjects with overweight or obesity(body mass index[BMI]≥24 kg/m2)were retrospectively analyzed.The subjects were divided into CAC group(n=4 237)and non-CAC group(n=6 601)based on CAC scores obtained from chest CT.The relationship between PDW and CAC in overweight and obese populations was analyzed after controlling confounding variables.A threshold effect analysis was conducted using a two-stage logistic model to find the non-linear inflection point.Subgroup analyses and interaction tests were conducted to validate the stability of the relationship between PDW and CAC.Results Non-linear relationship was observed between PDW and CAC risk in overweight and obese populations.The risk of CAC decreased with the increase of PDW which ≤17.80％(OR=0.82),but increased with the increase of PDW(OR=1.04)which＞17.80％.Subgroup analysis showed that the relationship between PDW and CAC remained stable in subgroups of different genders,BMI(＜28 kg/m2,≥28 kg/m2)and hypertension(all P＞0.05).Compared with aged＜40 years or ≥60 years subgroups,under the same PDW,aged≥40 and＜60 years subgroups had higher risk of CAC(interaction P=0.015).Conclusion Nonlinear relationship existed between PDW and CAC in overweight and obese populations.Both excessively high and low PDW were risk factors of CAC.

Objective:To construct a predictive model for mortality in patients with multiple trauma combined with thoracic injuries and evaluate its predictive value.Methods:A retrospective cohort study was conducted to analyze the clinical data of 184 patients with multiple trauma combined with thoracic injuries admitted to the International Zhuang Medicine Hospital Affiliated to Guangxi University of Chinese Medicine from April 2019 to December 2023, including 129 males and 55 females, aged 19-85 years [(46.1±13.7)years]. According to the prognostic outcomes at 3-month follow-up after discharge, the patients were divided into survival group ( n=145) and death group ( n=39). Data were recorded in both groups at admission, including gender, age, and cause of injury, laboratory tests such as systolic blood pressure, oxygen saturation (SaO 2), hemoglobin (Hb), neutrophil-to-lymphocyte ratio (NLR), and lactate, combined injuries such as the number of combined injuries, number of rib fracture, bilateral rib fracture, first-rib fracture, sternum fracture, thoracic vertebral fracture, bilateral pulmonary contusion, bilateral pneumothorax, subarachnoid hemorrhage, subdural hematoma, epidural hematoma, skull fracture, skull base fracture, cervical vertebral fracture, brain herniation, cerebral contusion, lumbar vertebral fracture, pelvic and abdominal cavity hematoma, liver injury, kidney injury, spleen injury, clavicle fracture, scapular fracture, femoral fracture, and pelvic fracture, and injury scores such as shock index (SI), modified shock index (MSI), injury severity score (ISS), revised trauma score (RTS), Glasgow coma score (GCS), and thoracic trauma severity (TTS) score. Univariate binary logistic regression analysis was used to screen for risk factors of death in patients with multiple trauma combined with thoracic injuries. LASSO regression and multivariate logistic regression analysis were employed to identify predictive variables and independent risk factors for mortality in those patients and to construct a regression equation. A nomogram prediction model based on the regression equation was developed using R language. Receiver operating characteristic (ROC) curves were plotted to evaluate the discrimination of the model. The ROC curves were internally validated using the Bootstrap method with 1 000 resamples. The calibration of the model was assessed using the Hosmer-Lemeshow (H-L) goodness-of-fit test. The clinical application value of the model was evaluated using decision curve analysis (DCA) and clinical impact curve (CIC) analysis. Results:There were statistically significant differences between the survival group and the death group in systolic blood pressure, SaO 2, NLR, lactate, number of combined injuries, subarachnoid hemorrhage, subdural hematoma, skull fracture, skull base fracture, brain herniation, liver injury, SI, MSI, ISS, RTS, GCS, and TTS ( P<0.05 or 0.01). The results of the univariate binary logistic regression analysis showed that the above-mentioned related variables except for systolic blood pressure were all significantly associated with death in patients with multiple trauma combined with thoracic injuries ( P<0.05 or 0.01). Five predictive variables, TTS, GCS, brain herniation, ISS, and lactate were obtained in LASSO regression analysis. The results of the multivariate logistic regression analysis showed that GCS ( OR=0.70, 95% CI 0.58, 0.83), brain herniation ( OR=46.18, 95% CI 4.27, 499.26), TTS ( OR=1.71, 95% CI 1.30, 2.24), and lactate ( OR=1.35, 95% CI 1.01, 1.80) were independent risk factors for death in patients with multiple trauma combined with thoracic injuries ( P<0.05 or 0.01). Based on the aforementioned independent risk factors, a regression formula was constructed as follows: P=e x/(1+e x), with the x=-0.36×"GCS"+3.83×"brain herniation"+0.53×"TTS"+0.30×"lactate levels"-11.03. The area under the ROC curve (AUC) of the predictive model for mortality in patients with multiple trauma combined with thoracic injuries based on the equation was 0.97 (95% CI 0.93, 1.00). The AUC was internally validated using the Bootstrap method with 1 000 samples, resulting in an AUC of 0.97 (95% CI 0.91, 1.00). The results of the H-L goodness-of-fit test showed that the bias-corrected calibration curve of the model was in good consistence with the actual curve and both of them were close to the ideal curve. In the evaluation of the clinical application value of the predictive model, the DCA results showed that the predictive model could achieve good clinical net benefit. The CIC results showed that when the threshold probability was greater than 0.7, the model-identified high-risk patients for death highly matched the patients who actually died. Conclusion:The predictive model for mortality in patients with multiple trauma combined with thoracic injuries based on GCS, brain herniation, TTS, and lactate has good predictive performance and clinical application value.

OBJECTIVES: Cardiovascular disease (CVD) poses a major threat to global health. Evaluating atherosclerosis in asymptomatic individuals can help identify those at high risk of CVD. This study aims to establish an individualized nomogram prediction model to estimate the risk of vascular plaque formation in asymptomatic individuals. METHODS: A total of 5 655 participants who underwent CVD screening at the Health Management Center of The Third Xiangya Hospital, Central South University, between January 2022 and June 2024 we retrospectively enrolled. Using simple random sampling, participants were divided into a training set (n=4 524) and a validation set (n=1 131) in an 8꞉2 ratio. Demographic and clinical data were collected and compared between groups. Multivariate logistic regression analysis was used to identify independent factors associated with vascular plaques and to construct a nomogram prediction model. The predictive performance and clinical utility of the model were evaluated using receiver operating characteristic (ROC) curves, the Hosmer-Lemeshow goodness-of-fit test, calibration plots, and decision curve analysis (DCA). RESULTS: The mean age of participants was 52 years old. There were 3 400 males (60.12%). The overall detection rate of vascular plaque in the screening population was 49.87% (2 820/5 655). No statistically significant differences were observed in clinical indicators between the training and validation sets (all P>0.05). Multivariate Logistic regression analysis identified age, systolic blood pressure, high-density lipoprotein (HDL), low-density lipoprotein (LDL), lipoprotein(a), male sex, smoking history, hypertension history, and diabetes history as independent risk factors for vascular plaque in asymptomatic individuals (all P<0.05). The area under the curve (AUC) of the nomogram model for predicting vascular plaque risk were 0.778 (95% CI 0.765 to 0.791, P<0.001) in the training set and 0.760 (95% CI 0.732 to 0.787, P<0.001) in the validation set. The Hosmer-Lemeshow goodness-of-fit test indicated good model calibration (training set: P=0.628; validation set: P=0.561). The calibration curve plotted using the Bootstrap method demonstrated good agreement between predicted probabilities and actual probabilities. DCA showed that the nomogram provided a clinical net benefit for predicting vascular plaque risk when the threshold probability ranged from 0.02 to 0.99. CONCLUSIONS The nomogram prediction model for vascular plaque risk, constructed using readily available and cost-effective physical examination indicators, exhibited good predictive performance. This model can assist in the early identification and intervention of asymptomatic individuals at high risk for cardiovascular disease.
Humans ; Male ; Middle Aged ; Female ; Nomograms ; Retrospective Studies ; Risk Factors ; Plaque, Atherosclerotic/diagnosis* ; Aged ; Adult ; Physical Examination ; Logistic Models ; Cardiovascular Diseases/epidemiology* ; ROC Curve

OBJECTIVES: Stress urinary incontinence (SUI) is a common condition among women that severely impairs quality of life. Pelvic floor proprioceptive training (PFPT) has attracted increasing attention for its potential to enhance pelvic floor muscle function and alleviate SUI symptoms. This study aims to observe and compare the clinical efficacy of PFPT combined with electroacupuncture, electrical stimulation, and biofeedback therapy versus conventional therapy consisting of electroacupuncture, electrical stimulation, and biofeedback alone in women with SUI, and to explore the role of PFPT in improving symptom and functional outcomes. METHODS: In this randomized controlled trial, 72 women with mild to moderate SUI were recruited from the Department of Rehabilitation Medicine at Third Xiangya Hospital, Central South University, between December 2021 and October 2023. Participants were randomly assigned to an experimental group (n=36) or a control group (n=36). Both groups received health education. The control group underwent electroacupuncture combined with electrical stimulation and biofeedback therapy, while the experimental group additionally received PFPT 3 times per week for 4 weeks. The primary outcome was assessed using the International Consultation on Incontinence Questionnaire-Short Form (ICIQ-SF). Secondary outcomes included pelvic floor muscle strength, bladder neck mobility, and balance ability. The ICIQ-SF was reassessed at 1, 3, 6, and 12 months post-treatment. RESULTS: Both groups showed statistically significant improvements in all parameters after treatment (all P<0.05). However, there were no statistically significant differences between groups in most measures (all P>0.05). The experimental group demonstrated longer single-leg stance duration with eyes closed than the control group (left leg: P=0.026; right leg: P=0.006), with a significant increase from baseline (P<0.001). At 6 months post-treatment, the cure rate in the experimental group was significantly higher than that in the control group (P=0.037). CONCLUSIONS Conventional therapy effectively improves SUI symptoms, but adding PFPT provides notable additional benefits, including enhanced balance ability and sustained mid-term cure rates. These findings suggest that PFPT is a valuable adjunct to standard SUI management strategies.
Humans ; Female ; Urinary Incontinence, Stress/physiopathology* ; Pelvic Floor/physiopathology* ; Middle Aged ; Biofeedback, Psychology ; Adult ; Exercise Therapy/methods* ; Proprioception ; Electroacupuncture/methods* ; Quality of Life ; Electric Stimulation Therapy/methods* ; Treatment Outcome ; Combined Modality Therapy

Background: Maturity-onset diabetes of the young (MODY) due to variants of hepatocyte nuclear factor 1-beta (HNF1β) (MODY5) has not been well studied in the Chinese population. This study aimed to estimate its prevalence and evaluate the application of a clinical screening method (Faguer score) in Chinese early-onset diabetes (EOD) patients. Methods: Among 679 EOD patients clinically diagnosed with type 2 diabetes mellitus (age at diagnosis ≤40 years), the exons of HNF1β were sequenced. Functional impact of rare variants was evaluated using a dual-luciferase reporter system. Faguer scores ≥8 prompted multiplex ligation-dependent probe amplification (MLPA) for large deletions. Pathogenicity of HNF1β variants was assessed following the American College of Medical Genetics and Genomics (ACMG) guidelines. Results: Two rare HNF1β missense mutations (E105K and G454R) were identified by sequencing in five patients, showing functional impact in vitro. Another patient was found to have a whole-gene deletion by MLPA in 22 patients with the Faguer score above 8. Following ACMG guidelines, six patients carrying pathogenic or likely pathogenic variant were diagnosed with MODY5. The estimated prevalence of MODY5 in Chinese EOD patients was approximately 0.9% or higher. Conclusion MODY5 is not uncommon in China. The Faguer score is helpful in deciding whether to perform MLPA analysis on patients with negative sequencing results.