ObjectiveNonalcoholic fatty liver disease （NAFLD） is a metabolic stress liver injury. Ferroptosis is involved in the occurrence and development of NAFLD. Exploring the efficacy and mechanism of schisandrin B in treating NAFLD facilitates the development of strategies for the prevention and treatment of NAFLD. MethodsThe molecular structure of schisandrin B was obtained by searching against PubChem， and the related targets were predicted by SwissTargetPrediction. The active ingredients and their targets were retrieved from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform （TCMSP） and the high-throughput experiment- and reference-guide database of traditional Chinese medicine （HERB）. GeneCards and FerrDb were searched for the targets of NAFLD and ferroptosis. The common targets were taken as the core targets， and the protein-protein interaction network of the core targets was established. DAVID was used for gene ontology （GO） and Kyoto Encyclopedia of Genes and Genomes （KEGG） analyses. Finally， molecular docking was performed between schisandrin B and core targets， and the binding energy was calculated. C57BL/6 mice were fed with a methionine and choline-deficiency （MCD） diet for the modeling of NAFLD. Mice were randomized into normal， model， positive drug （essentiale）， and low- and high-dose schisandrin B groups. The body mass and liver index of mice were measured after drug administration. The levels of alanine aminotransferase （ALT） and aspartate aminotransferase （AST） in the serum and those of total cholesterol （TC）， triglyceride （TG）， malondialdehyde （MDA）， glutathione （GSH）， and Fe²⁺ in the liver homogenate were measured by biochemical assay kits. The pathological changes of the liver tissue were observed by hematoxylin-eosin （HE） and red oil O staining. Enzyme-linked immunosorbent assay was employed to determine the levels of interleukin （IL）-6， IL-1β， tumor necrosis factor （TNF）-α， and 4-hydroxynonenal （4-HNE） in the serum. Western blotting and real-time PCR were employed to determine the protein and mRNA levels， respectively， of solute carrier family 7 member 11 （SLC7A11）， solute carrier family 3 member 2 （SLC3A2）， glutathione peroxidase 4 （GPX4）， transferrin， and ferritin heavy chain （FTH） in the liver tissue. ResultsA total of 2 370， 2 547， and 1 451 targets of schisandrin B， NAFLD， and ferroptosis were obtained， in which 90 common targets were shared by the three. Enrichment analyses predicted 505 GO terms and 92 KEGG pathways. Molecular docking suggested that schizandrin B had strong binding affinity with the key targets of ferropstosis （SLC7A11 and SLC3A2）. Animal experiments showed that schizandrin B significantly decreased the liver index， lowered the levels of ALT， AST， TC， TG， IL-6， IL-1β， and TNF-α， alleviated hepatocyte ballooning and inflammatory cell infiltration， and reduced lipid accumulation in the liver of NAFLD mice. In addition， schisandrin B significantly lowered the levels of MDA， 4-HNE， and Fe²⁺， elevated the level of GSH， up-regulated the protein and mRNA levels of SLC7A11， SLC3A2， and GPX4， and down-regulated the protein and mRNA levels of transferrin in the liver tissue. ConclusionSchisandrin B can alleviate NAFLD by inhibiting ferroptosis in hepatocytes.

Objective To analyze the trends in the disease burden of pertussis in China from 1990 to 2021, and to provide a basis for the development of effective prevention and control strategies. Methods Using the 2021 Global Burden of Disease Study (GBD) database, the incidence, mortality, and disability-adjusted life years (DALYs), as well as the age-standardized rates of pertussis in China from 1990 to 2021 were analyzed. Descriptive statistical methods were employed to analyze the characteristics of the pertussis disease burden, and the Joinpoint regression model was used to analyze the trends in pertussis disease burden. Results From 1990 to 2021, the incidence, mortality, and DALYs of pertussis in China decreased from 1 503 800 cases, 10 951 deaths, and 954 900 person-years to 65 400 cases, 548 deaths, and 46 500 person-years, representing a decrease of 95.65%, 95.00%, and 95.13%, respectively. The corresponding age-standardized rates also decreased by 93.58%, 92.47%, and 92.53%, respectively. The Joinpoint regression model revealed a significant downward trend in the age-standardized incidence, mortality, and DALYs rates for pertussis (AAPCs were -8.32%, -9.65%, and -9.58%, respectively, P<0.001). The disease burden was slightly higher in females than in males, with the majority of cases occurring in children under 10 years old, particularly in infants under 1 year old, where the burden was the heaviest. As age increased, the disease burden decreased. Conclusion Between 1990 and 2021, the overall disease burden of pertussis in China showed a significant downward trend, with gender and age differences. Special attention should be given on the prevention and control of pertussis in children under 10 years old, especially in infants under 1 year old.

OBJECTIVE To assess the correlation between the steady-state minimal concentration （cmin） and 24 h area under the drug concentration-time curve （AUC24）/minimal inhibitory concentration （MIC） ratio （AUC24/MIC） of vancomycin in pediatric patients， and analyze independent risk factors for treatment failure. METHODS Data of hospitalized children treated with vancomycin and receiving therapeutic drug monitoring in our hospital from January 2021 to July 2024 were retrospectively collected and divided into success group and failure group according to whether the treatment was successful or not. Spearman correlation analysis was used to analyze the correlation between cmin and AUC24/MIC of vancomycin， and one-way and multifactorial Logistic regression analyses were used to screen the independent risk factors for vancomycin treatment failure. RESULTS A total of 59 children were included， with 41 in the success group and 18 in the failure group. Compared with the failure group， AUC24/MIC of vancomycin was significantly higher in the success group （P＝0.038）， but there was no statistically significant difference in the cmin of the two groups （P＞0.05）； cmin of vancomycin was significantly positively correlated with AUC24/MIC （r＝0.499， P＜0.001）， but it has a certain efficacy in predicting the achievement of the AUC24/MIC standard （≥400） （area under the receiver operator characteristic curve＝0.696）， with an optimal cutoff value of 6.05 mg/L determined by the Youden index. The efficacy of AUC24/ MIC in predicting treatment failure was superior to cmin （areas under the receiver operator characteristic curve were 0.671 vs. 0.523， P were 0.038 vs. 0.684）， with higher sensitivity （83.3% vs. 66.7%）. Hypoproteinemia and AUC24/MIC≤369.1 were independent risk factors for vancomycin treatment failure （P＜0.05）. The incidence of nephrotoxicity was 3.4%. CONCLUSIONS There is a significant positive correlation between cmin and AUC24/MIC of vancomycin in pediatric patients； hypoproteinemia and AUC24/MIC≤369.1 are independent risk factors for vancomycin treatment failure in children.

Objective To investigate the potential genetic mechanisms of insomnia and anxiety and the bidirectional causal relationship between them using Linkage Disequilibrium Score Regression （LDSC） and Mendelian Randomization （MR）. Methods Based on the data from genome-wide association studies， LDSC was used to analyze the genetic correlation of insomnia with anxiety and its subtypes. The inverse variance weighted （IVW） method was used as the main analytical method， supplemented by MR-Egger regression， weighted median， the simple model method， and weighted model. The Cochran’s Q test was used for heterogeneity testing， MR-Egger was used for pleiotropy testing， and the leave-one-out method was used for sensitivity analysis. Results The LDSC analysis revealed the genetic correlation of insomnia with anxiety and its subtypes. The results of IVW analysis showed that insomnia had a causal relationship with the increased risk of anxiety （OR=1.448，95%CI 1.025‒2.045，P=0.036，PFDR=0.178） and generalized anxiety disorder （OR=2.098，95% CI 1.105‒3.986， P=0.024， PFDR=0.314）. Conversely， the reverse MR analysis showed a causal relationship between generalized anxiety disorder and the increased risk of insomnia （OR=1.010， 95% CI 1.003‒1.017， P=0.008， PFDR=0.329）. No significant horizontal pleiotropy was detected for the instrumental variables （P>0.05）， and the sensitivity analysis showed that the results of MR analysis were stable. Conclusion Insomnia may be used as a risk factor for anxiety， and there is a genetic correlation between the two diseases.
Insomnia ; Anxiety

The accurate and timely detection of biochemical coagulation indicators is pivotal in pulmonary and critical care medicine. Despite their reliability, traditional laboratories often lag in terms of rapid diagnosis. Point-of-care testing (POCT) has emerged as a promising alternative, which is awaiting rigorous validation. We assessed 226 samples from patients at the First Affiliated Hospital of Guangzhou Medical University using a Beckman Coulter AU5821 and a PUSHKANG POCT Biochemistry Analyzer MS100. Furthermore, 350 samples were evaluated with a Stago coagulation analyzer STAR MAX and a PUSHKANG POCT Coagulation Analyzer MC100. Metrics included thirteen biochemical indexes, such as albumin, and five coagulation indices, such as prothrombin time. Comparisons were drawn against the PUSHKANG POCT analyzer. Bland-Altman plots (MS100: 0.8206‒0.9995; MC100: 0.8318‒0.9911) evinced significant consistency between methodologies. Spearman correlation pinpointed a potent linear association between conventional devices and the PUSHKANG POCT analyzer, further underscored by a robust correlation coefficient (MS100: 0.713‒0.949; MC100: 0.593‒0.950). The PUSHKANG POCT was validated as a dependable tool for serum and whole blood biochemical and coagulation diagnostics. This emphasizes its prospective clinical efficacy, offering clinicians a swift diagnostic tool and heralding a new era of enhanced patient care outcomes.
Humans ; Point-of-Care Testing ; Critical Care ; Blood Coagulation Tests/methods* ; Male ; Blood Coagulation ; Female ; Middle Aged ; Reproducibility of Results ; Prothrombin Time ; Aged ; Adult ; Point-of-Care Systems

Colonic mucosal healing is the ultimate goal of ulcerative colitis (UC) treatment, but it remains difficult to realize. Given the higher incidence of UC in males and the beneficial effect of estrogen on UC, we conducted this study to examine the therapeutic potential of estrogen receptor β (ERβ), the primary ER subtype in colon, on mucosal healing in UC. Our study is the first to report that ERβ activation degree was positively correlated with mucosal healing in patients with UC. Furthermore, ERβ activation enhanced mucosal healing in mice with dextran sulfate sodium-induced and biopsy-induced colonic injuries. Mechanistically, ERβ activation promoted autophagy of colonic epithelial cells by inhibiting branched-chain amino acid transport, leading to focal adhesion kinase (FAK) activation. Activated FAK promoted focal adhesion turnover and colonic epithelial cell migration, ultimately facilitating mucosal healing. ERβ ^-/- colitis mice exhibited impaired mucosal healing compared to wild-type littermates, highlighting the crucial effect of ERβ. Importantly, combination with ERβ-agonist diarylpropionitrile enhanced the amelioration of 5-aminosalicylic acid, a standard UC treatment agent, against mouse colitis. These findings attest to the crucial role of ERβ activation in colonic mucosal healing and may further inform the development of novel strategies for UC treatment.

This report described a periviable extremely preterm infant who received Nirsevimab before discharge for preventing respiratory syncytial virus infection. The infant was born at 22?3 weeks' gestation with a birth weight of 360 g. Nirsevimab was administered on January 12, 2025 (110 days after birth, corrected gestational age of 38?2 weeks) at the Women and Children's Medical Center of Southern Medical University (Shenzhen Maternity & Child Healthcare Hospital). No local or systemic adverse reactions were observed following administration. Follow-up until 1 year and 2 months of age (November 2025) revealed no occurrence of respiratory syncytial virus infection.

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.

Objective:To analyze the clinical characteristics of the Chikungunya fever outbreak in Shunde District, Foshan City, Guangdong Province in July 2025 and the risk factors associated with delayed viral RNA clearance.Methods:A total of 562 patients with Chikungunya fever admitted to three designated hospitals in Shunde District from July 10 to 30, 2025 were enrolled. Demographic data, clinical manifestations, and laboratory findings were collected. Patients were categorized into four age groups including minors (<18 years), young adults (18 to 39 years), middle-aged adults (40 to 64 years) and elderly adults (≥65 years). The differences of clinical characteristics among these age groups were analyzed. Intergroup comparisons were performed using chi-square test, one-way analysis of variance, or Kruskal-Wallis H test. Pairwise comparisons between groups were conducted using the Bonferroni or Games-Howell or Dunn method. Binary logistic regression was employed to analyze risk factors associated with delayed viral RNA clearance (>7 days). Results:The mean age of the 562 enrolled Chikungunya fever patients was (44.8±21.3) years. Fever, arthralgia and rash were the three core symptoms, with incidence rates of 87.5% (492/562), 88.4%(497/562) and 69.6%(391/562), respectively. At discharge, only 54.1%(304/562) of patients achieved complete symptom resolution, while 26.5%(149/562) still had arthralgia and 36.1%(203/562) had residual rash. Significant differences were observed among age groups in the incidence of fever ( χ2=9.43, P=0.024), peak body temperature ( F=6.54, P<0.001), incidence of arthralgia ( χ2=26.89, P<0.001), duration of arthralgia ( F=12.68, P=0.001), incidence of rash ( χ2=68.99, P<0.001), rate of residual rash at discharge ( χ2=32.37, P<0.001), lymphocyte count ( F=12.94, P<0.001), platelet count ( F=14.95, P<0.001), and C-reactive protein levels (CRP) ( H=94.18, P<0.001). Further pairwise comparisons revealed that compared to the middle-aged and elderly groups, the minor group had a higher incidence of fever and a lower incidence of arthralgia, and the duration of arthralgia was shorter than the elderly group (all P<0.008 3). Compared with the other three groups, the elderly group had lower incidence and residual rate of rash, and lower platelet counts (all P<0.008 3), and higher levels of CRP (all P<0.05). The elderly group had lower lymphocyte counts compared to the minor and young adult groups (both P<0.05). Significant differences were found among age groups in the time to viral RNA clearance ( F=5.77, P=0.003) and length of hospital stay ( F=11.64, P<0.001), with the elderly group having significantly longer duration for both compared to the other three groups (all P<0.05). Multivariate analysis showed that advanced age (odds ratio ( OR)=1.049, 95% confidence interval ( CI) 1.015 to 1.083), longer duration of fever ( OR=1.529, 95% CI 1.086 to 2.155) and longer duration of arthralgia ( OR=1.927, 95% CI 1.318 to 2.817) were independent risk factors for delayed viral RNA clearance (all P<0.05). Conclusions:Patients with Chikungunya fever in Shunde District primarily present with fever, arthralgia and rash. The incidence and characteristics of these three core symptoms show age-related variations. Elderly patients and those with longer durations of fever or arthralgia are more likely to experience delayed viral clearance.

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.