Based on spleen deficiency-phlegm dampness as the core pathogenesis of obesity， and integrating recent advances in modern medicine regarding the key role of immune inflammation in obesity， this paper proposes a multidimensional pathogenic network of "obesity-spleen deficiency-phlegm dampness-immune imbalance". Various traditional Chinese medicine （TCM） herbs that strengthen the spleen， regulate qi， and resolve phlegm and dampness can treat obesity by improving spleen-stomach transport and transformation， promoting water-damp metabolism， and regulating immune homeostasis. This highlights immune inflammation as an important entry point to elucidate the TCM concepts of "spleen deficiency-phlegm dampness" and the therapeutic principle of "strengthening the spleen and eliminating dampness to treat obesity". By systematically analyzing the intrinsic connection between "spleen deficiency generating dampness， internal accumulation of phlegm dampness" and immune dysregulation in obesity， this paper aims to provide theoretical support for TCM treatment of obesity based on dampness.

Autoimmune hepatitis (AIH) is a chronic, immune-mediated liver injury of unknown etiology. The onset of this disease involves the activation and recruitment of diverse immune and non-immune cells, which in turn trigger hepatic damage. Immune checkpoint molecules (ICM) are expressed on the surface of multiple cell types. By regulating cellular functional states, they help limit the intensity and duration of immune responses, thereby preventing excessive inflammation and tissue damage, and maintaining immune homeostasis. In AIH, however, this natural "braking" mechanism is impaired, leading to aberrant activation of both immune and non-immune cells and the breakdown of immune homeostasis. Consequently, ICM are likely to play a critical role in the pathogenesis of AIH. A deeper understanding of the function of ICM in AIH not onlyadvances our insight into the disease mechanism, but also suggests that targeting these molecules may represent a promising therapeutic strategy for the treatment of AIH.

ObjectiveTo investigate the contamination status of arsenic (As), cadmium (Cd), lead (Pb), and mercury (Hg) in commercially available aquatic products in Shanghai and their distribution characteristics among different categories of aquatic products, and to assess the dietary exposure levels and non‑carcinogenic health risks of As, Cd, Pb, and Hg through aquatic product consumption among different age groups, so as to provide a scientific basis for food safety surveillance of aquatic products and dietary risk management for residents in Shanghai. MethodsFrom October to November 2021, a total of 90 aquatic product samples, including marine fish, freshwater fish, freshwater shrimp, marine crab, freshwater crab, and mollusks, were randomly collected from 16 districts of Shanghai. Sample pretreatment was performed according to GB 5009.268‒2016 (National Food Safety Standard—Determination of Multi‑elements in Foods). The concentrations of As, Cd, and Pb in aquatic products were determined by inductively coupled plasma mass spectrometry (ICP‑MS), and Hg was determined by direct mercury analyzer. Inorganic arsenic (iAs) was estimated as 3.5% of total As according to the method recommended by the European Food Safety Authority (EFSA). The contamination levels of As, Cd, Pb, and Hg in aquatic products were evaluated according to GB 2762‒2017 (National Food Safety Standard—Maximum Levels of Contaminants in Foods). A combined approach of point assessment and probabilistic assessment was applied to estimate the estimated daily intake (EDI) and non‑carcinogenic risk indicators—hazard quotient (HQ) and hazard index (HI)—for different age groups. ResultsThe detection rates of As and Hg were both 100.00% in all samples, while those of Cd and Pb were 74.44% and 25.56%, respectively. The arithmetic means (wet weight) of the four elements and estimated iAs were: As (1.432 9±3.736 5) mg·kg^-1, iAs (0.050 2±0.130 8) mg·kg^-1, Cd (0.082 5±0.197 8) mg·kg^-1, Pb (0.006 1±0.005 5) mg·kg^-1, and Hg (0.021 9±0.016 7) mg·kg^-1. According to the relevant maximum residue limits, 2 out of 7 mollusk samples (28.57%) and 3 out of 20 marine fish samples (15.00%) exceeded the limit for iAs, and 2 out of 8 marine crab samples (25.00%) exceeded the limit for Cd. The estimated daily intake (EDI, μg·kg^-1·d^-1, by body weight) of iAs, Cd, Pb, and Hg via aquatic product consumption varied among different age groups, with the highest levels observed in children aged 3‒4 years, decreasing gradually with age to the lowest level at 12 ‒ <15 years, with a slight rebound thereafter. The point assessment results showed that the HQs of iAs, Cd, Pb, and Hg ranged from 0 to 0.25, and the cumulative HI ranged from 0.27 to 0.48, all below 1, indicating a relatively low overall risk. The probabilistic assessment results revealed that under the high‑exposure scenario (P_97.5), the HQs of iAs (1.101‒1.281) and Cd (1.175‒1.366) exceeded 1 in children aged 3‒9 years, suggesting potential health risks, while the HQs of Pb and Hg were all below 1, indicating relatively lower risks. ConclusionHg and As are ubiquitously detected in commercially available aquatic products in Shanghai, while the detection rates of Cd and Pb are relatively low. The overall non-carcinogenic risk is at an acceptable level, but children aged 3‒9 years may have potential health risks from iAs and Cd under high-percentile exposure levels. It is recommended to strengthen the monitoring of toxic elements in key aquatic products such as marine fish, mollusks, and marine crabs, and to implement targeted dietary risk management measures for sensitive populations, including children.

Objective: To investigate the associations of sleep quality and weight stigma with depressive mood among college students, so as to provide evidence for mental health promotion in higher education institutions. Methods: From September to November 2024, a stratified cluster random sampling method was used to survey 4 524 undergraduate students from the first to third year in comprehensive universities across various cities in Inner Mongolia. The χ 2 test was used to compare the detection rates of poor sleep quality, experiences of weight stigma, and depressive mood among students with different characteristics, and multivariate Logistic regression analysis was conducted to examine the independent and combined associations between sleep quality, the number of types of weight stigma experienced, and depressive mood. Results: Among students, the detection rate of poor sleep quality was 21.60%; those with experiences of weight stigma had a detection rate of 11.52%; those with depressive mood had a detection rate of 9.46%. Multivariate Logistic regression analysis showed that, compared with those who had good sleep quality, individuals with poor sleep quality were more likely to experience depressive mood [ OR (95% CI )=2.99(2.41- 3.71 )]; compared with those who had no experience of weight stigma, individuals who experienced ≥2 types of weight stigma were more likely to experience depressive mood [ OR (95% CI )=4.51(2.82-7.22)] (both P <0.01). Multivariate Logistic regression analysis, with "good sleep quality and no weight stigma experience" as the reference group, showed that all other joint groups had a higher likelihood of developing depressive mood, with the highest likelihood observed among students who had poor sleep quality and had experienced ≥2 types of weight stigma [ OR (95% CI )=14.21(6.95-29.06), P <0.01]. Conclusions Poor sleep quality and a greater number of weight stigma types are both associated with depressive mood among college students. Mental health programs in higher education institutions should simultaneously address students sleep problems and weight related adverse experiences, and implement comprehensive interventions.

OBJECTIVE To observe the dynamic change trends of vancomycin resistance rates of Enterococcus fae-calis and Enterococcus faecium in medical institutions of Shanghai and nationwide based on the data from China Antimicrobial Resistance Surveillance System(CARSS)between 2014 and 2023 so as to provide bases for optimi-zing the prevention and control strategies for drug-resistant organisms.METHODS The data regarding to the van-comycin resistance rates of E.faecalis and E.faecium in Shanghai and nationwide were extracted from CARSS.The annual percentage change(APC),average annual percentage change(AAPC)and its 95％confi-dence interval(CI)were calculated by Joinpoint regression model(version 5.4.0).The differences in the changing trends and its statistical significance were analyzed.RESULTS The drug resistance rate of E.faecalis showed a re-markable and continuous decline in Shanghai(AAPC=-85.301％,P＜0.001),the isolation rate of the spe-cies maintained zero after 2019.The drug resistance rate nationwide showed a moderate decreasing amplitude(AAPC=-16.237％,P＜0.001),and there was no significant difference in the changing trend after 2019(P=0.628).The drug resistance rate of E.faecium showed a continuous decline trend in Shanghai(AAPC=-27.838％,P＜0.001),while the drug resistance rate nationwide firstly declined and then rose:with the decline from 2014 to 2020(APC=-18.476％,P＜0.001),the quick rebound from 2020 to 2023(APC=43.976％,P=0.005),and there was no significant difference in the overall change(AAPC=-1.459％,P=0.638).The decreasing amplitudes of drug resistance rates of the two species of Enterococcus were greater in Shanghai than nationwide(all P＜0.001),and the rebounds of drug resistance rates did not emerge nationwide.CONCLUSIONS Shanghai has achieved remarkable effect on control of drug resistance of Enterococcus through the management of antibiotics and infection control measures.The drug resistance rate of E.faecium re-bounds nationwide in recent years,indicating that the prevention and control should be strengthened in grass-roots medical institutions.It is suggested that Shanghai experience should be promoted,and the impact of transmis-sion mechanisms of drug resistance genes and COVID-19 epidemic on the use of antibiotics should be focused on.

Vertebral refracture following percutaneous vertebral augmentation (PVA) is commonly seen in elderly patients with osteoporotic thoracolumbar compression fractures (OTLCF). It can lead to recurrent pain, loss of vertebral height, progression of kyphosis, and even neurological dysfunction, significantly impairing patients′ quality of life. Current diagnosis and treatment face multiple challenges, including high misdiagnosis rate, difficulty in choosing between surgical and non-surgical treatment options, lack of standardized surgical protocols, interference from intralesional bone cement during procedures, inadequate stability of internal fixation in osteoporotic bone, and suboptimal compliance of anti-osteoporotic therapy. Establishing a standardized diagnostic and therapeutic framework is urgently needed. To standardize the management process and improve outcomes for vertebral refractures after PVA in elderly OTLCF patients, Spinal Trauma Group of the Orthopedic Branch of Chinese Medical Doctor Association organized experts in the field to develop Guideline for the diagnosis and treatment of vertebral refracture after percutaneous vertebral augmentation in elderly patients with osteoporotic thoracolumbar compression fractures ( version 2025), based on current literature and clinical experience, and adhering to principles of scientific rigor and clinical applicability. A total of 11 recommendations were proposed, encompassing diagnosis, treatment, and rehabilitation of vertebral refracture after PVA in elderly patients with OTLCF, aiming to provide a foundation for a standardized management.

Objective:To explore the genetic etiology for a Chinese pedigree affected with X-linked cardiac valve dysplasia (CVDPX) and chronic idiopathic intestinal pseudo-obstruction (CIIPX).Methods:A pedigree presented at the First Hospital of Lanzhou University in June 2024 for CVDPX combined with CIIPX was selected as the study subject. Whole exome sequencing (Trio-WES) was carried out, and the candidate variant was verified by Sanger sequencing. This study has been approved by the Medical Ethics Committee of the First Hospital of Lanzhou University (Ethics No. LDYYSZLLKH2024-15).Results:Both the proband and his affected younger brother were found to harbor a hemizygous c. 443A>G (p.Tyr148Cys) variant of the FLNA gene, for which their mother was heterozygous and their father was not a carrier, suggesting an X-linked recessive inheritance pattern. The variant was not recorded by the OMIM and ClinVar databases, and was determined to be likely pathogenic (PM2+ PS4+ PP2+ PP3) based on the guidelines from the American College of Medical Genetics and Genomics (ACMG). The patients had presented with typical CVDPX/CIIPX phenotype, including multiple valve dysplasia and chronic pseudo intestinal obstruction, in addition with gallbladder wall edema and thickening. Bioinformatic analysis showed that the variant site is highly conserved, and multiple algorithms had predicted its pathogenicity. Conclusion:This study confirmed the diagnosis of CVDPX/CIIPX in a Chinese pedigree, expanded the phenotype spectrum of FLNA gene variants, and provided a basis for genetic counseling and prenatal diagnosis for the pedigree.

Objective:To explore the method of CT quantitative evaluation of silicosis fibrosis in artificial stone and analyze its correlation with the stage of chest X-ray and lung function impairment.Methods:The clinical data of 142 patients with artificial stone silicosis who were treated at Shanghai Pulmonary Hospital from January 2018 to December 2022 were collected. These patients were diagnosed based on GBZ 70-2015 Diagnosis of Occupational Pneumoconiosis and underwent chest X-rays, chest CT scans, and lung function tests within a two-month period. The chest CT scoring method is based on the CT characteristics of silicosis, including ground-glass shadows, small nodule shadows, point-line shadows/cord-line shadows, emphysema/pulmonary bullae and patch shadows/mass shadows, with a scoring range of 0 to 25 points. Lung function indicators included FVC, FEV 1 and DLco. For inter-group comparisons of normally distributed quantitative data, one-way ANOVA was employed with LSD post-hoc test for multiple comparisons. Chi-square test was used for multi-group ratio comparisons. Kruskal-Wallis H test was applied to non-normally distributed quantitative data, followed by LSD post-hoc test. Spearman's rank correlation was used to analyze the relationship between pulmonary function indicators and CT fibrosis scores, Trend test was conducted using the Pearson test. Results:As the silicosis stage progressed, both the CT fibrosis score ( R=0.87, Ptrend<0.001) and the degree of lung function impairment (FVC: R=-0.41, Ptrend<0.001; FEV 1: R=-0.52, Ptrend<0.001) ; DLco: R=-0.38, Ptrend<0.001) showed an increasing trend. The CT fibrosis Score demonstrated a strong positive correlation with silicosis stage ( rs=0.85, Ptrend<0.001) and a moderate negative correlation with FVC, FEV 1, and DLco ( rs=-0.48, -0.56, and -0.45, respectively, with all P<0.05) . Over an average follow-up period of 14 months, it was observed that changes in the CT score had a strong to moderate negative correlation with variations in FVC and FEV 1 ( rs=-0.63 and -0.52, P<0.05) . Additionally, there was a moderate negative correlation between ground glass opacity and DLco ( rs=-0.52, P<0.001) . Conclusion:The CT fibrosis score not only reflects pathological changes associated with artificial stone-related silicosis but also provides a more precise representation of lung function injury.

Objective:To predict mechanical complications (MC) following spinal deformity surgery for adult spine deformity (ASD) using machine learning models, identify key risk factors, and develop a visualizable tool for individualized risk assessment.Methods:Clinical and radiological data from 525 patients with ASD who underwent surgery in our hospital between January 2017 and December 2021 were collected. Patients were randomly assigned to a training set (70%) and a test set (30%) for model development. The cohort included 88 males and 437 females, with a mean age of 42.2±18.1 years. Variables included demographic data, comorbidities, local and systemic radiological parameters, paraspinal muscle fat infiltration (FI), and vertebral bone quality (VBQ) scores. Multiple machine learning algorithms: Random Forest (RF), Gaussian Naive Bayes (GNB), Light GBM, Support Vector Machine (SVM), XGBoost (XGB), and Logistic Regression (LR) were trained and evaluated. Model performance was compared using the receiver operating characteristic curve (ROC) and precision-recall curve (PRC). SHAP (Shapley Additive Explanations) was used to rank risk factors, while LIME (Local Interpretable Model-Agnostic Explanations) was applied to visualize MC risk in individual cases.Results:Of the 525 patients, 135 (25.7%) developed postoperative MC. Among these, 80 (59.3%) experienced proximal junction kyphosis or failure (PJK/PJF), 7 (5.2%) had distal junction kyphosis or failure (DJK/DJF), 28 (20.7%) sustained rod fractures, and 29 (21.5%) showed significant loss of correction. In the validation cohort, the RF model achieved the highest area under the curve (AUC=0.80), followed by GNB (0.77), XGB (0.76), LR (0.74), LightGBM (0.73), and SVM (0.66). The RF model also demonstrated the best PRC value (0.58), highest sensitivity (0.65), and lowest Brier score (0.20). GNB, Light GBM, and LR models achieved the highest accuracy (0.78 each), while LightGBM exhibited the highest specificity (0.93). SHAP analysis identified higher preoperative VBQ scores, larger T 1 pelvic angle (TPA), and higher paraspinal muscle FI as the main risk factors for MC. Based on the RF model, a LIME-based tool was successfully constructed for individualized MC risk estimation. Conclusion:The RF model demonstrated the best overall predictive performance for MC. A machine learning-based prediction model has the potential to provide valuable guidance for surgical decision-making in ASD patients.

Heat stroke is a heat-related illness caused by an imbalance between the body's heat production and heat dissipation,which could lead to multiple organ dysfunction syndrome with a high mortality rate.Rapid and effective reduction of core body temperature is key to successful treatment.This article reviews recent progress in the treatment of heat stroke,including new understandings of organ injury mechanisms,the timing,velocity and goals of cooling treatment,evaluation and selection of traditional cooling techniques(such as cold water immersion),and scientific evaluation of new cooling technologies(such as blood purification technology and intravascular heat exchange cooling technology),aiming to promote understanding and treatment of heat stroke.