Objective: To explore whether digital facial and tongue diagnostic technologies can support the assessment of coronary heart disease (CHD) patients for coronary artery stenosis severity, and examine potential associations between digital tongue diagnosis features and myocardial biomarkers. Methods: The TFDA-1 face and tongue diagnosis instrument and the TDAS analysis system were used to perform intelligent visual examination and analysis of the facial and tongue in CHD patients who attended the Department of Cardiology at Shanghai Baoshan Hospital of Integrated Traditional Chinese and Western Medicine between October 2, 2023 and July 31, 2024. Variables were screened using principal component analysis (PCA) and multicollinearity analysis to construct four machine learning models, including random forest, LightGBM, decision tree, and naive Bayes, for the early prediction of coronary artery stenosis severity. Model performance metrics, including sensitivity, specificity, precision, F1 score, accuracy, and the area under the receiver operating characteristic (ROC) curve (AUC), were evaluated. Visual analyses were performed using the SHapley Additive exPlanations (SHAP) interpreter and decision curve analysis. For patients after percutaneous coronary intervention (PCI), a conceptual model linking cardiac biomarkers and tongue diagnosis was constructed using the partial least squares structural equation modeling (PLS-SEM), and its validity was assessed. Results: A total of 459 CHD patients were enrolled and assigned to a PCI group and a non-PCI group (which comprised two subgroups: mild stenosis or less group, moderate stenosis or greater group). For sublingual vein (SV) features, the PCI group had lower SV-a and SV-b than the other groups (P < 0.01 and P < 0.05, respectively). For tongue surface features, the PCI group had significantly higher tongue body (TB)-L, TB-a, and TB-b (P < 0.05, P < 0.01, and P < 0.001, respectively), as well as higher tongue coating (TC)-a and TC-b (P < 0.01 and P < 0.001, respectively). Age, SV-a, SV-b, creatine kinase-myocardial band (CK-MB), CK, TC-a, lip-L, and lip-b were incorporated in the machine learning models. The random forest model performed best, with an AUC of 0.924, an F1 score of 0.839, precision of 0.807, accuracy of 0.864, sensitivity of 0.873, and specificity of 0.839. Decision curve analysis indicated that both LightGBM and random forest had clinical utility. PLS-SEM confirmed the pathway relationships: myocardial biomarkers → TB and myocardial biomarkers → TC (coefficient = – 0.238, t = 2.239, P = 0.025, and coefficient = – 0.270, t = 2.522, P = 0.012, respectively). Conclusion This study developed a noninvasive early warning model for coronary artery stenosis in patients with CHD. It applied PLS-SEM to investigate the association between post-PCI cardiac biomarkers and tongue diagnosis, and validated the proposed association chain. These findings suggest that intelligent traditional Chinese medicine (TCM) visual diagnosis integrated with modern digital technology may support CHD risk assessment and comprehensive health management.

Objective To explore the feasibility and image quality of respiratory-gated total-body ¹⁸F-FDG PET/CT imaging with a 4-minute acquisition in patients with malignant tumors. Methods Sixty-two patients with pathologically confirmed malignant tumors (118 lesions measured) who underwent total-body ¹⁸F-FDG PET/CT examination were consecutively enrolled at the Department of Nuclear Medicine, Zhongshan Hospital, Fudan University, from September 23, 2021 to November 23, 2021, and their clinical and imaging data were retrospectively collected. PET data was acquired over 12 minutes with simultaneous respiratory waveform recorded. The data were reconstructed into four image sets: gated-12 group and gated-4 group (using all counts and the first 4-minute counts, respectively) and ungated-12 group and ungated-6 group (using all counts and the first 6-minute counts, respectively) reconstructed with respiratory gating that retained counts corresponding to the half respiratory window near end-expiration. Image quality assessment and quantitative analysis of lesions were performed and compared among the four image sets, and subgroup analyses were performed according to lesion location, size, and metabolic activity. Results The effective counts of 4 sets of PET images were highest in ungated-12 group, followed by ungated-6 group and gated-12 group, and lowest in gated-4 group (P＜0.001). Regardless of the metabolic level and size of the lesions, compared with the ungated-12 group and the ungated-6 group, the lesions in the gated-12 group showed higher maximum, average, and peak standardized uptake values (SUV_max, SUV_mean, and SUV_peak), tumor liver uptake ratio, tumor blood pool uptake ratio, and smaller metabolic volume (P＜0.05); There was no statistically significant difference in the above indicators between the gate-12 group and the gate-4 group. The background noise of gate-4 group images is slightly higher than that of gate-12 group images (Liver SUV_SD: [0.17＋0.05] vs [0.14＋0.04]); Blood pool SUV_SD: (0.08 ± 0.03) vs (0.06 ± 0.03). There was a statistically significant difference in subjective scores of PET image quality among the four groups (P＜0.001). The subjective scores of image quality in the gated-12 group (4.79 ± 0.41) were not significantly different from those in the non gated-12 group (4.97 ± 0.17) and non gated-6 group (4.79 ± 0.45), but were higher than those in the gated-4 group ([4.17 ± 0.45], P＜0.001)， And the scores have good consistency (Kappa＞0.75). Conclusion In total-body PET/CT imaging for malignant tumors, 4-minute respiratory-gated acquisition can achieve comparable quantitative performance to longer respiratory gating imaging while significantly shortening acquisition time. This approach demonstrates promising potential for clinical application.

Objective To compare the clinical efficacy of low-molecular-weight heparin anticoagulant drugs in the treatment of venous thrombosis caused by viral pneumonia.Methods The clinical data of 355 patients diagnosed with viral pneumonia patients in the First People's Hospital of Yunnan Province from December 2022 to February 2023 were collected by retrospective analysis.The patients were classified into moderate group(n=1 14),severe group(n=116),and critical group(n=125)based on the severity of viral pneumonia.The changes in coagulation indicators of the patients after treatment with low molecular weight heparin sodium injection,low molecular weight heparin calcium injection,and enoxaparin sodium injection were compared among three groups.Results Compared with before treatment,there was no statistically significant difference in white blood cells count among three groups of patients after treatment(P＞0.05);The hypersensitive C-reactive protein levels of patients in moderate group and critical group decreased(P＜0.05);The levels of D-dimer decreased in severe group and critical group of patients(P＜0.05).After treatment with low-molecular-weight heparin calcium injection,the activated partial thromboplastin and prothrombin time of patients in severe group were shortened compared to before treatment,and the D-dimer levels of patients in severe group and critical group were reduced compared to before treatment,with statistical significance(P＜0.05);After treatment with low-molecular-weight heparin sodium and enoxaparin,only critical group showed a significant decrease in D-dimer levels(P＜0.05).Conclusion Low-molecular-weight heparin calcium injection has a stronger alleviating effect on blood hypercoagulability caused by elevated D-dimer levels than low-molecular-weight heparin sodium and enoxaparin,which is beneficial for relieving patients' hypercoagulability.

Objective:To investigate the gender differences in the causal relationship between testosterone-related hormones and type 2 diabetes mellitus(T2DM), and to analyze the mediating role of blood lipids in this relationship.Methods:Using two-sample Mendelian randomization(TSMR) and two-step Mendelian randomization(MR) methods, we explored the causal associations between testosterone-related hormones, T2DM, and blood lipids in different genders. The potential mediating role of blood lipids between testosterone-related hormones and T2DM was quantitatively assessed using multivariate Mendelian Randomization(MVMR).Results:In males, each standard deviation( SD) increase in genetically predicted total testosterone(TT) was associated with lower odds of T2DM( OR=0.90, 95% CI 0.82-0.97, P=0.009) and higher high-density lipoprotein-cholesterol(HDL-C) level( β=0.08 SD, 95% CI 0.03-0.13, P=0.002). In women, each SD rise in genetically predicted bioavailable testosterone(Bio-T) was associated with higher odds of T2DM( OR=1.24, 95% CI 1.10-1.40, P<0.001), lower HDL-C level( β=-0.13 SD, 95% CI -0.21--0.05, P<0.001). Mediation analysis revealed that HDL-C played a mediating role(7.83%) between Bio-T and T2DM in women. However, HDL-C showed no mediating effect between SHBG and TT levels on T2DM, and low-density lipoprotein-cholesterol(LDL-C) showed no mediating effect between TT levels on T2DM in men. Conclusions:Lower levels of TT and SHBG in men, and high levels of Bio-T in women may increase the risk of T2DM. In women, regulating HDL-C levels may offer a potential strategy for the prevention and treatment of T2DM related to Bio-T disorders.

Traditional Chinese medicine (TCM) represents a paradigmatic approach to personalized medicine, developed through the systematic accumulation and refinement of clinical empirical data over more than 2000 years, and now encompasses large-scale electronic medical records (EMR) and experimental molecular data. Artificial intelligence (AI) has demonstrated its utility in medicine through the development of various expert systems (e.g., MYCIN) since the 1970s. With the emergence of deep learning and large language models (LLMs), AI's potential in medicine shows considerable promise. Consequently, the integration of AI and TCM from both clinical and scientific perspectives presents a fundamental and promising research direction. This survey provides an insightful overview of TCM AI research, summarizing related research tasks from three perspectives: systems-level biological mechanism elucidation, real-world clinical evidence inference, and personalized clinical decision support. The review highlights representative AI methodologies alongside their applications in both TCM scientific inquiry and clinical practice. To critically assess the current state of the field, this work identifies major challenges and opportunities that constrain the development of robust research capabilities-particularly in the mechanistic understanding of TCM syndromes and herbal formulations, novel drug discovery, and the delivery of high-quality, patient-centered clinical care. The findings underscore that future advancements in AI-driven TCM research will rely on the development of high-quality, large-scale data repositories; the construction of comprehensive and domain-specific knowledge graphs (KGs); deeper insights into the biological mechanisms underpinning clinical efficacy; rigorous causal inference frameworks; and intelligent, personalized decision support systems.
Medicine, Chinese Traditional/methods* ; Artificial Intelligence ; Humans ; Precision Medicine ; Decision Support Systems, Clinical

Despite therapy with potent antiviral agents, chronic hepatitis B (CHB) patients remain at high risk of hepatocellular carcinoma (HCC). While metabolites have been rediscovered as active drivers of biological processes including carcinogenesis, the specific metabolites modulating HCC risk in CHB patients are largely unknown. Here, we demonstrate that baseline plasma from CHB patients who later developed HCC during follow-up exhibits growth-promoting properties in a case-control design nested within a large-scale, prospective cohort. Metabolomics analysis reveals a reduction in long-chain acylcarnitines (LCACs) in the baseline plasma of patients with HCC development. LCACs preferentially inhibit the proliferation of HCC cells in vitro at a physiological concentration and prevent the occurrence of HCC in vivo without hepatorenal toxicity. Uptake and metabolism of circulating LCACs increase the intracellular level of acetyl coenzyme A, which upregulates histone H3 Lys14 acetylation at the promoter region of KLF6 gene and thereby activates KLF6/p21 pathway. Indeed, blocking LCAC metabolism attenuates the difference in KLF6/p21 expression induced by baseline plasma of HCC/non-HCC patients. The deficiency of circulating LCACs represents a driver of HCC in CHB patients with viral control. These insights provide a promising direction for developing therapeutic strategies to reduce HCC risk further in the antiviral era.

Traumatic brain injury (TBI), as a significant central nervous system damage disease with high frequency in the world, leads to a huge number of patients with impaired health and lower quality of life every year. Lung injury is a common and dangerous consequence, which dramatically raises the mortality of patients. Discovering the pathophysiology of lung injury after TBI and discovering viable therapeutic targets has become an important need for clinical diagnosis and therapy. Neurotransmitters, as the fundamental chemical agents of the nervous system for signal transmission, not only govern neuronal activity and apoptosis in TBI but also significantly influence the pathophysiological mechanisms of lung injury subsequent to TBI. The imbalance is intricately linked to the onset and progression of lung damage. This paper systematically reviews the clinical characteristics and predominant pathogenesis of lung injury following TBI, emphasizing the role of key neurotransmitters, including glutamate (Glu), γ-aminobutyric acid (GABA), norepinephrine (NE), dopamine (DA), and acetylcholine (ACh), in lung injury post-TBI. It examines their influence on inflammatory response, vascular permeability, and pulmonary circulation function. Additionally, the paper evaluates the research advancements and potential applications of targeted therapeutic strategies for various neurotransmitter systems, such as receptor antagonists, transporter inhibitors, and neurotransmitter analogues. This research aims to offer a theoretical framework for clarifying the neural regulatory mechanisms of lung injury following TBI and to establish a basis for the development of novel therapeutic strategies and enhancement of the prognosis of the patients.
Humans ; Brain Injuries, Traumatic/metabolism* ; Neurotransmitter Agents/metabolism* ; Lung Injury/metabolism* ; gamma-Aminobutyric Acid/metabolism* ; Glutamic Acid/metabolism* ; Norepinephrine/metabolism* ; Dopamine/metabolism* ; Acetylcholine/metabolism*

Objective:To analyze the epidemiological characteristics of rabies in China during 2024 to understand the patterns of disease transmission and provide a scientific basis for optimizing prevention strategies and advancing the rabies elimination process.Methods:Data on the national rabies epidemic in 2024 and case-specific information from national surveillance sites were collected from China's National Notifiable Disease Reporting System（NNDRS）. Descriptive epidemiological methods were used to analyze the disease trends and epidemic characteristics.Results:In 2024，China reported 167 human rabies cases across 20 provincial-level administrative divisions（PLADs），resulting in 148 fatalities. This represents a 39.17% increase from 2023（120 cases）and the highest annual incidence recorded since 2019. The epidemic exhibited a distinct geographic clustering in central and southern China，with four provinces（Henan，Guangxi，Hunan，and Hubei）accounting for 62.87%（105/167）of nationally reported cases. October（20 cases）and November（20 cases）recorded the highest monthly incidence，while February had the lowest（2 cases）. Farmers constituted the primary affected demographic（80.84%），with a marked male predominance（male-to-female ratio：2.15∶1）-higher than the 2023 ratio（1.86∶1）. Cases spanned all age groups，predominantly affecting middle-aged and older adults. Analysis of 54 cases revealed dogs as the primary exposure source（93.88%），with domestic dogs constituting 75.00% of these.The laboratory diagnosis rate of rabies cases in 2024 was 43.71%（73/167）.Conclusion:After 16 consecutive years of decline，China's rabies epidemic rebounded in 2024，primarily driven by deficiencies in domestic dog management and weaknesses in post-exposure prophylaxis. Key recommendations include enhancing canine vaccination coverage in high-risk areas，implementing targeted health education for farmers and middle-aged and older adults，improving standardized post-exposure treatment protocols，and optimizing integrated surveillance-alert-response systems，ultimately advancing the achievement of rabies elimination goals.

Severe open tibiofibular fractures account for approximately 28.1% of all open fractures. Among them, Gustilo-Anderson type IIIB/C fractures present significant clinical challenges due to associated bone and soft tissue defects, high infection rates, and risk of amputation. Inadequate preoperative assessment may lead to suboptimal emergency surgical planning or intraoperative complications. Historically, external fixation was often preferred, but this approach has been associated with limitations such as restricted joint mobility, delayed bone union, joint stiffness, and disuse osteoporosis, resulting in poor functional recovery. With advancements of debridement techniques, standardization of antibiotic use, and popularization of early soft tissue coverage, early internal fixation has gained broader acceptance. Nevertheless, controversies persist regarding the choice of fixation method, timing of definitive fixation, use of reamed versus unreamed intramedullary nailing, and necessity of fibular fixation. To standardize the diagnosis and early management of severe open tibiofibular fractures, reduce complication rates, and improve functional recovery, the Society of Microsurgery of the Chinese Medical Association organized a panel of domestic experts to develop the Evidence-based guideline for the diagnosis and early fixation of severe open tibiofibular fractures ( version 2025), using evidence-based methodology. The guidelines provided 12 recommendations covering diagnostic and early fixation strategies of severe open tibiofibular fractures, aiming to provide clinicians with scientifically grounded and standardized guidance.