Objective: To develop a clinical decision and prescription generation system (CDPGS) specifically for diarrhea in traditional Chinese medicine (TCM), utilizing a specialized large language model (LLM), Qwen-TCM-Dia, to standardize diagnostic processes and prescription generation. Methods: Two primary datasets were constructed: an evaluation benchmark and a fine-tuning dataset consisting of fundamental diarrhea knowledge, medical records, and chain-of-thought (CoT) reasoning datasets. After an initial evaluation of 16 open-source LLMs across inference time, accuracy, and output quality, Qwen2.5 was selected as the base model due to its superior overall performance. We then employed a two-stage low-rank adaptation (LoRA) fine-tuning strategy, integrating continued pre-training on domain-specific knowledge with instruction fine-tuning using CoT-enriched medical records. This approach was designed to embed the clinical logic (symptoms → pathogenesis → therapeutic principles → prescriptions) into the model’s reasoning capabilities. The resulting fine-tuned model, specialized for TCM diarrhea, was designated as Qwen-TCM-Dia. Model performance was evaluated for disease diagnosis and syndrome type differentiation using accuracy, precision, recall, and F1-score. Furthermore, the quality of the generated prescriptions was compared with that of established open-source TCM LLMs. Results: Qwen-TCM-Dia achieved peak performance compared to both the base Qwen2.5 model and five other open-source TCM LLMs. It achieved 97.05% accuracy and 91.48% F1-score in disease diagnosis, and 74.54% accuracy and 74.21% F1-score in syndrome type differentiation. Compared with existing open-source TCM LLMs (BianCang, HuangDi, LingDan, TCMLLM-PR, and ZhongJing), Qwen-TCM-Dia exhibited higher fidelity in reconstructing the “symptoms → pathogenesis → therapeutic principles → prescriptions” logic chain. It provided complete prescriptions, whereas other models often omitted dosages or generated mismatched prescriptions. Conclusion By integrating continued pre-training, CoT reasoning, and a two-stage fine-tuning strategy, this study establishes a CDPGS for diarrhea in TCM. The results demonstrate the synergistic effect of strengthening domain representation through pre-training and activating logical reasoning via CoT. This research not only provides critical technical support for the standardized diagnosis and treatment of diarrhea but also offers a scalable paradigm for the digital inheritance of expert TCM experience and the intelligent transformation of TCM.

Background Platelet parameters are important indicators of cardiovascular risk, and environmental pollutants such as polychlorinated biphenyls (PCBs) may impair platelet function through oxidative stress. Objective To investigate the differential effects of single and mixed exposure to PCBs on platelet parameters among individuals with normal glucose tolerance (NGT), impaired fasting glucose (IFG), and type 2 diabetes mellitus (T2DM), and to evaluate the potential modifying role of a healthy lifestyle. Methods This study included 2249 participants (including 707 with NGT, 759 with IFG, and 783 with T2DM). Plasma PCB concentrations were measured using triple quadrupole gaschromatography-tandem mass spectrometry. Generalized linear regression was used to assess the associations between individual PCB congeners and platelet parameters. Quantile g-computation (QGC) and Bayesian kernel machine regression (BKMR) models were used to evaluate the overall effects of PCBs mixture exposure on platelet parameters across different glycemic states, as well as its interaction with healthy lifestyle score (HLS). Results Generalized linear regression analyses showed significant differences in the effects of PCBs on platelet parameters across different glycemic states (P<0.05). After adjusting for confounders, PCBs mixture exposure was significantly associated with lower platelet counts (PLT) in individuals with NGT (b=−10.60, 95%CI: −16.48, −4.71) and IFG (b=−12.91, 95%CI: −18.90, −6.92), whereas no significant association was observed in individuals with T2DM (P=0.051). Mean platelet volume (MPV) and platelet-large cell ratio (P-LCR) increased significantly with higher PCBs exposure levels across all three groups (P<0.05). BKMR analysis showed a positive association between PCBs mixture exposure and P-LCR, with the strongest association observed in the NGT group. Furthermore, a significant interaction was observed between HLS and PCBs mixture exposure, and a higher HLS attenuated the effects of PCBs on P-LCR. Conclusion Glycemic glycemic states may modify the effects of PCBs on platelets. Individuals with NGT appear more sensitive to PCBs exposure, whereas the T2DM state may attenuate this effect. Moreover, healthy lifestyles, including not smoking, moderate alcohol consumption, maintaining moderate-to-high physical activity, a healthy diet, and an appropriate body mass index (BMI), may mitigate the adverse effects of most PCBs on platelet parameters.

Background Platelet parameters are important indicators of cardiovascular risk, and environmental pollutants such as polychlorinated biphenyls (PCBs) may impair platelet function through oxidative stress. Objective To investigate the differential effects of single and mixed exposure to PCBs on platelet parameters among individuals with normal glucose tolerance (NGT), impaired fasting glucose (IFG), and type 2 diabetes mellitus (T2DM), and to evaluate the potential modifying role of a healthy lifestyle. Methods This study included 2249 participants (including 707 with NGT, 759 with IFG, and 783 with T2DM). Plasma PCB concentrations were measured using triple quadrupole gaschromatography-tandem mass spectrometry. Generalized linear regression was used to assess the associations between individual PCB congeners and platelet parameters. Quantile g-computation (QGC) and Bayesian kernel machine regression (BKMR) models were used to evaluate the overall effects of PCBs mixture exposure on platelet parameters across different glycemic states, as well as its interaction with healthy lifestyle score (HLS). Results Generalized linear regression analyses showed significant differences in the effects of PCBs on platelet parameters across different glycemic states (P<0.05). After adjusting for confounders, PCBs mixture exposure was significantly associated with lower platelet counts (PLT) in individuals with NGT (b=−10.60, 95%CI: −16.48, −4.71) and IFG (b=−12.91, 95%CI: −18.90, −6.92), whereas no significant association was observed in individuals with T2DM (P=0.051). Mean platelet volume (MPV) and platelet-large cell ratio (P-LCR) increased significantly with higher PCBs exposure levels across all three groups (P<0.05). BKMR analysis showed a positive association between PCBs mixture exposure and P-LCR, with the strongest association observed in the NGT group. Furthermore, a significant interaction was observed between HLS and PCBs mixture exposure, and a higher HLS attenuated the effects of PCBs on P-LCR. Conclusion Glycemic glycemic states may modify the effects of PCBs on platelets. Individuals with NGT appear more sensitive to PCBs exposure, whereas the T2DM state may attenuate this effect. Moreover, healthy lifestyles, including not smoking, moderate alcohol consumption, maintaining moderate-to-high physical activity, a healthy diet, and an appropriate body mass index (BMI), may mitigate the adverse effects of most PCBs on platelet parameters.

Objective To explore the mechanism of Shenqi Buzhong(SQBZ)Formula for alleviating mitochondrial dysfunction in a rat model of chronic obstructive pulmonary disease(COPD)in light of the AMPK/SIRT1/PGC-1α pathway.Methods Fifty male SD rat models of COPD,established by intratracheal lipopolysaccharide(LPS)instillation,exposure to cigarette smoke,and gavage of Senna leaf infusion,were randomized into 5 groups(n=10)for treatment with saline(model group),SQBZ Formula at low,moderate and high doses(3.08,6.16 and 12.32 g/kg,respectively),or aminophylline(0.024 g/kg)by gavage for 4 weeks,with another 10 untreated rats as the control group.Pulmonary function of the rats were tested,and pathologies and ultrastructural changes of the lung tissues were examined using HE staining and transmission electron microscopy.The levels of SOD,ATP,MDA,and mitochondrial membrane potential in the lungs were detected using WST-1,colorimetric assay,TBA,and JC-1 methods.Flow cytometry was used to analyze ROS level in the lung tissues,and the protein expression levels of P-AMPKα,AMPKα,SIRTI,and PGC-1α were detected using Western blotting.Results The rat models of COPD showed significantly decreased lung function,severe histopathological injuries of the lungs,decreased pulmonary levels of SOD activity,ATP and mitochondrial membrane potential,increased levels of MDA and ROS,and decreased pulmonary expressions of P-AMPKα,SIRTI,and PGC-1α proteins.All these changes were significantly alleviated by treatment with SQBZ Formula and aminophylline,and the efficacy was comparable between high-dose SQBZ Formula group and aminophylline group.Conclusion SQBZ Formula ameliorates mitochondrial dysfunction in COPD rats possibly by activating the AMPK/SIRT1/PGC-1α pathway.

OBJECTIVES: To explore the mechanism of Shenqi Buzhong (SQBZ) Formula for alleviating mitochondrial dysfunction in a rat model of chronic obstructive pulmonary disease (COPD) in light of the AMPK/SIRT1/PGC-1α pathway. METHODS: Fifty male SD rat models of COPD, established by intratracheal lipopolysaccharide (LPS) instillation, exposure to cigarette smoke, and gavage of Senna leaf infusion, were randomized into 5 groups (n=10) for treatment with saline (model group), SQBZ Formula at low, moderate and high doses (3.08, 6.16 and 12.32 g/kg, respectively), or aminophylline (0.024 g/kg) by gavage for 4 weeks, with another 10 untreated rats as the control group. Pulmonary function of the rats were tested, and pathologies and ultrastructural changes of the lung tissues were examined using HE staining and transmission electron microscopy. The levels of SOD, ATP, MDA, and mitochondrial membrane potential in the lungs were detected using WST-1, colorimetric assay, TBA, and JC-1 methods. Flow cytometry was used to analyze ROS level in the lung tissues, and the protein expression levels of P-AMPKα, AMPKα, SIRTI, and PGC-1α were detected using Western blotting. RESULTS: The rat models of COPD showed significantly decreased lung function, severe histopathological injuries of the lungs, decreased pulmonary levels of SOD activity, ATP and mitochondrial membrane potential, increased levels of MDA and ROS, and decreased pulmonary expressions of P-AMPKα, SIRTI, and PGC-1α proteins. All these changes were significantly alleviated by treatment with SQBZ Formula and aminophylline, and the efficacy was comparable between high-dose SQBZ Formula group and aminophylline group. CONCLUSIONS SQBZ Formula ameliorates mitochondrial dysfunction in COPD rats possibly by activating the AMPK/SIRT1/PGC-1α pathway.
Animals ; Pulmonary Disease, Chronic Obstructive/drug therapy* ; Drugs, Chinese Herbal/therapeutic use* ; Sirtuin 1/metabolism* ; Peroxisome Proliferator-Activated Receptor Gamma Coactivator 1-alpha ; Rats, Sprague-Dawley ; Male ; Rats ; AMP-Activated Protein Kinases/metabolism* ; Mitochondria/metabolism* ; Disease Models, Animal ; Signal Transduction/drug effects*

BackgroundWith the exacerbation of population aging， the number of elderly patients with mental disorders has increased significantly. The high prevalence of pulmonary infection in the aging population has largely contributed to the increased medical burdens and mortality rate， so preventing pulmonary infection in elderly patients with mental disorders has become a critical challenge in clinical practice. www.crd.york.ac.uk/PROSPERO注册号：CRD42024553735 ObjectiveTo investigate the prevalence and influencing factors of pulmonary infection in elderly patients with mental disorders， so as to provide references for preventing the occurrence of pulmonary infection in this population. MethodsOn July 1， 2024， computer searches of CNKI， China Biomedical Literature Database （CBM）， Wanfang， PubMed， Web of Science， Embase， Cochrane Library and Ovid were conducted from the inception of each database to June 2024. Two researchers independently conducted literature screening， data extraction and quality assessment. Meta-analysis was performed using Stata 16.0. ResultsA total of 17 literature （14 in Chinese， 3 in English） involving 75 724 elderly patients with mental disorders were included. Meta analysis revealed that the incidence rate of pulmonary infection in elderly patients with mental disorders was 20.8% （95% CI： 0.154~0.263）. Subgroup analysis indicated that the incidence rates of pulmonary infection among patients with dementia， schizophrenia， depression and unspecified mental disorders were 21.9% （95% CI： 0.182~0.256）， 20.6% （95% CI： 0.129~0.283）， 18.4% （95% CI： 0.136~0.232） and 5.2% （95% CI： 0.430~0.062）， respectively. In terms of influencing factors， the following were identified as risk factors for pulmonary infection in elderly patients with mental disorders： comorbid diabetes mellitus （OR=1.29， 95% CI： 1.24~1.34）， prolonged bed rest （OR=2.41， 95% CI： 2.10~2.76）， dysphagia （OR=1.76， 95% CI： 1.53~2.03）， smoking history （OR=6.27， 95% CI： 5.97~6.59）， irrational use of antibiotics （OR=2.10， 95% CI： 1.79~2.45）， hypoalbuminemia （OR=1.57， 95% CI： 1.35~1.83）， duration of illness （OR=2.05， 95% CI： 1.79~2.36）， age （OR=9.04， 95% CI： 8.44~9.68）， length of hospital stay （OR=2.68， 95% CI： 1.65~4.34）， use of proton pump inhibitors （OR=1.10， 95% CI： 1.06~1.14）， history of chronic lung disease （OR=1.50， 95% CI： 1.43~1.57）， poor oral hygiene （OR=3.66， 95% CI： 1.01~13.23）， comorbid tumors （OR=3.12， 95% CI： 2.18~4.48）， more than two somatic complications （OR=4.01， 95% CI： 1.08~14.86）， invasive procedures （OR=3.31， 95% CI： 1.81~6.04） and disorders of consciousness （OR=5.57， 95% CI： 2.18~14.24）. ConclusionElderly patients with mental disorders suffer a relatively high prevalence rate of pulmonary infection， and its prevalence rate varies among different types of mental disorders， with the highest rate being observed in patients with dementia. The factors contributing to the development of pulmonary infection are found to include age， duration of illness， smoking history， comorbid somatic complications， dysphagia， disorders of consciousness， hypoalbuminemia， prolonged bed rest， oral hygiene status， irrational use of antibiotics， use of proton pump inhibitor， length of hospital stay and invasive procedures. ［www.crd.york.ac.uk/PROSPERO number： CRD42024553735］

Depression is a severe mental illness. Although existing antidepressant medications have shown efficacy in many patients, a significant proportion show poor responses to current treatments, necessitating the need for novel therapeutic approaches. Photobiomodulation (PBM), an emerging physical therapy, has recently shown promising efficacy in the treatment of depression, as indicated by two systematic reviews, and is characterized by high safety and good tolerability. However, challenges remain in areas such as light delivery techniques and optimization of treatment parameters. This review summarizes the antidepressant mechanisms of PBM, various methods of light transmission, and recent research progress on its application in the treatment of depression. It also discusses issues related to safety, tolerability, and impact of specific parameters, aiming to provide insights and recommendations for future research on PBM as a therapy for depression.

Purpose To investigate the expression of LAMB3 and ITGB4 in esophageal squamous cell carcinoma(ESCC)and analyze their associations with clinicopathological features.Methods Bioinformatics was used to assess the expression of LAMB3 and ITGB4 in pan-cancer and ESCC.Immunohistochemistry was performed to evaluate their expression and distribution in ESCC tissues,and correlations clinicopathological features were analyzed.Follow-up data were collected to construct Kaplan-Meier survival curves,and Cox regression analysis was proformed to determine their prognostic significance.Results Bioinformatics analysis showed that LAMB3 and ITGB4 were highly expressed in ES-CC tissues(P＜0.001).Immunohistochemistry confirmed that both proteins were localized in the cytoplasm and membrane of tumor cells.High LAMB3 expression was significantly associated with poor differentiation(P＜0.001),lymph node metastasis(P=0.015),and T staging(P＜0.001).High ITGB4 expression was significantly correlated with poor differentiation(P=0.004)and advanced T staging(P=0.004).Cox regression analysis identified high ex-pression of LAMB3 and ITGB4 as independent prognostic factors for overall survival[HR=4.97(95％CI:2.73-9.02);HR=2.33(95％CI:1.36-3.99)].Conclusion LAMB3 and ITGB4 are highly expressed in ESCC.High LAMB3 expression is associated with tumor differentiation,lymph node metastasis,and T staging,while high ITGB4 expression is correlated with tumor differentiation and T staging.Patients with high expression of LAMB3 or ITGB4 have poorer overall survival,suggesting that these proteins may serve as prognostic biomarkers for unfavorable outcome in ESCC.

The identification of constitutional types in traditional Chinese medicine(TCM)is a crucial component in realizing the concept of"treatment before the onset of disease".In recent years,the"Constitution in Chinese Medicine Questionnaire"has been employed as a standardized tool and has achieved notable success in the field of TCM constitution identification.However,there remains scope for further enhancement of its validity and applicability.Techniques for identifying TCM constitutions based on multidimensional phenotypes continue to emerge,yet a universally applicable constitutional determination model has yet to be established.We propose three research and development directions:The self-assessment questionnaires,the non-invasive point-of-care testing models based on TCM constitution phenotype,and the multidimensional phenotype-based constitution identification platforms.By way of an example,we outline specific developmental ideas with a focus on TCM constitution identification technology based on the analysis of exhaled breath.

Objective:To investigate the radiation field distribution characteristics in a 9 MeV electron FLASH (e-FLASH) linear accelerator treatment room.Methods:The Geant4 Monte Carlo program was employed for physical simulating of the radiation field distribution inside and outside the treatment room under a single-beam delivery condition with a total dose of 50 Gy at the reference point and a dose rate of 250 Gy/s. High-sensitivity radiation detectors (AT1123) were used to validate the measurements at key points.Results:The dose rate at the reference point was approximately 9×10 11 μSv/h. Due to the scattering and shielding effects, the deviation of the attenuation rate from the inverse-square law was observed and the isodose lines exhibited spatial drift. Measured dose rates at key points showed good agreement with the simulation result, with a maximum deviation within 30%. Conclusions:The complex radiation field distribution can be effectively simulated using Geant4 in an e-FLASH treatment room. This indicated the Geant4 is not only applicable for the shielding calculations in e-FLASH radiotherapy facilities, but also for the design optimization through, reduction of trial-and-error iterations and engineering costs.