1.Construction and Validation of a Large Language Model-Based Intelligent Pre-Consultation System for Traditional Chinese Medicine
Yiqing LIU ; Ying LI ; Hongjun YANG ; Linjing PENG ; Nanxing XIAN ; Kunning LI ; Qiwei SHI ; Hengyi TIAN ; Lifeng DONG ; Lin WANG ; Yuping ZHAO
Journal of Traditional Chinese Medicine 2025;66(9):895-900
ObjectiveTo construct a large language model (LLM)-based intelligent pre-consultation system for traditional Chinese medicine (TCM) to improve efficacy of clinical practice. MethodsA TCM large language model was fine-tuned using DeepSpeed ZeRO-3 distributed training strategy based on YAYI 2-30B. A weighted undirected graph network was designed and an agent-based syndrome differentiation model was established based on relationship data extracted from TCM literature and clinical records. An agent collaboration framework was developed to integrate the TCM LLM with the syndrome differentiation model. Model performance was comprehensively evaluated by Loss function, BLEU-4, and ROUGE-L metrics, through which training convergence, text generation quality, and language understanding capability were assessed. Professional knowledge test sets were developed to evaluate system proficiency in TCM physician licensure content, TCM pharmacist licensure content, TCM symptom terminology recognition, and meridian identification. Clinical tests were conducted to compare the system with attending physicians in terms of diagnostic accuracy, consultation rounds, and consultation duration. ResultsAfter 100 000 iterations, the training loss value was gradually stabilized at about 0.7±0.08, indicating that the TCM-LLM has been trained and has good generalization ability. The TCM-LLM scored 0.38 in BLEU-4 and 0.62 in ROUGE-L, suggesting that its natural language processing ability meets the standard. We obtained 2715 symptom terms, 505 relationships between diseases and syndromes, 1011 relationships between diseases and main symptoms, and 1 303 600 relationships among different symptoms, and constructed the Agent of syndrome differentiation model. The accuracy rates in the simulated tests for TCM practitioners, licensed pharmacists of Chinese materia medica, recognition of TCM symptom terminology, and meridian recognition were 94.09%, 78.00%, 87.50%, and 68.80%, respectively. In clinical tests, the syndrome differentiation accuracy of the system reached 88.33%, with fewer consultation rounds and shorter consultation time compared to the attending physicians (P<0.01), suggesting that the system has a certain pre- consultation ability. ConclusionThe LLM-based intelligent TCM pre-diagnosis system could simulate diagnostic thinking of TCM physicians to a certain extent. After understanding the patients' natural language, it collects all the patient's symptom through guided questioning, thereby enhancing the diagnostic and treatment efficiency of physicians as well as the consultation experience of the patients.
2.Antiviral therapy for chronic hepatitis B with mildly elevated aminotransferase: A rollover study from the TORCH-B trial
Yao-Chun HSU ; Chi-Yi CHEN ; Cheng-Hao TSENG ; Chieh-Chang CHEN ; Teng-Yu LEE ; Ming-Jong BAIR ; Jyh-Jou CHEN ; Yen-Tsung HUANG ; I-Wei CHANG ; Chi-Yang CHANG ; Chun-Ying WU ; Ming-Shiang WU ; Lein-Ray MO ; Jaw-Town LIN
Clinical and Molecular Hepatology 2025;31(1):213-226
Background/Aims:
Treatment indications for patients with chronic hepatitis B (CHB) remain contentious, particularly for patients with mild alanine aminotransferase (ALT) elevation. We aimed to evaluate treatment effects in this patient population.
Methods:
This rollover study extended a placebo-controlled trial that enrolled non-cirrhotic patients with CHB and ALT levels below two times the upper limit of normal. Following 3 years of randomized intervention with either tenofovir disoproxil fumarate (TDF) or placebo, participants were rolled over to open-label TDF for 3 years. Liver biopsies were performed before and after the treatment to evaluate histopathological changes. Virological, biochemical, and serological outcomes were also assessed (NCT02463019).
Results:
Of 146 enrolled patients (median age 47 years, 80.8% male), 123 completed the study with paired biopsies. Overall, the Ishak fibrosis score decreased in 74 (60.2%), remained unchanged in 32 (26.0%), and increased in 17 (13.8%) patients (p<0.0001). The Knodell necroinflammation score decreased in 58 (47.2%), remained unchanged in 29 (23.6%), and increased in 36 (29.3%) patients (p=0.0038). The proportion of patients with an Ishak score ≥ 3 significantly decreased from 26.8% (n=33) to 9.8% (n=12) (p=0.0002). Histological improvements were more pronounced in patients switching from placebo. Virological and biochemical outcomes also improved in placebo switchers and remained stable in patients who continued TDF. However, serum HBsAg levels did not change and no patient cleared HBsAg.
Conclusions
In CHB patients with minimally raised ALT, favorable histopathological, biochemical, and virological outcomes were observed following 3-year TDF treatment, for both treatment-naïve patients and those already on therapy.
3.Antiviral therapy for chronic hepatitis B with mildly elevated aminotransferase: A rollover study from the TORCH-B trial
Yao-Chun HSU ; Chi-Yi CHEN ; Cheng-Hao TSENG ; Chieh-Chang CHEN ; Teng-Yu LEE ; Ming-Jong BAIR ; Jyh-Jou CHEN ; Yen-Tsung HUANG ; I-Wei CHANG ; Chi-Yang CHANG ; Chun-Ying WU ; Ming-Shiang WU ; Lein-Ray MO ; Jaw-Town LIN
Clinical and Molecular Hepatology 2025;31(1):213-226
Background/Aims:
Treatment indications for patients with chronic hepatitis B (CHB) remain contentious, particularly for patients with mild alanine aminotransferase (ALT) elevation. We aimed to evaluate treatment effects in this patient population.
Methods:
This rollover study extended a placebo-controlled trial that enrolled non-cirrhotic patients with CHB and ALT levels below two times the upper limit of normal. Following 3 years of randomized intervention with either tenofovir disoproxil fumarate (TDF) or placebo, participants were rolled over to open-label TDF for 3 years. Liver biopsies were performed before and after the treatment to evaluate histopathological changes. Virological, biochemical, and serological outcomes were also assessed (NCT02463019).
Results:
Of 146 enrolled patients (median age 47 years, 80.8% male), 123 completed the study with paired biopsies. Overall, the Ishak fibrosis score decreased in 74 (60.2%), remained unchanged in 32 (26.0%), and increased in 17 (13.8%) patients (p<0.0001). The Knodell necroinflammation score decreased in 58 (47.2%), remained unchanged in 29 (23.6%), and increased in 36 (29.3%) patients (p=0.0038). The proportion of patients with an Ishak score ≥ 3 significantly decreased from 26.8% (n=33) to 9.8% (n=12) (p=0.0002). Histological improvements were more pronounced in patients switching from placebo. Virological and biochemical outcomes also improved in placebo switchers and remained stable in patients who continued TDF. However, serum HBsAg levels did not change and no patient cleared HBsAg.
Conclusions
In CHB patients with minimally raised ALT, favorable histopathological, biochemical, and virological outcomes were observed following 3-year TDF treatment, for both treatment-naïve patients and those already on therapy.
4.Antiviral therapy for chronic hepatitis B with mildly elevated aminotransferase: A rollover study from the TORCH-B trial
Yao-Chun HSU ; Chi-Yi CHEN ; Cheng-Hao TSENG ; Chieh-Chang CHEN ; Teng-Yu LEE ; Ming-Jong BAIR ; Jyh-Jou CHEN ; Yen-Tsung HUANG ; I-Wei CHANG ; Chi-Yang CHANG ; Chun-Ying WU ; Ming-Shiang WU ; Lein-Ray MO ; Jaw-Town LIN
Clinical and Molecular Hepatology 2025;31(1):213-226
Background/Aims:
Treatment indications for patients with chronic hepatitis B (CHB) remain contentious, particularly for patients with mild alanine aminotransferase (ALT) elevation. We aimed to evaluate treatment effects in this patient population.
Methods:
This rollover study extended a placebo-controlled trial that enrolled non-cirrhotic patients with CHB and ALT levels below two times the upper limit of normal. Following 3 years of randomized intervention with either tenofovir disoproxil fumarate (TDF) or placebo, participants were rolled over to open-label TDF for 3 years. Liver biopsies were performed before and after the treatment to evaluate histopathological changes. Virological, biochemical, and serological outcomes were also assessed (NCT02463019).
Results:
Of 146 enrolled patients (median age 47 years, 80.8% male), 123 completed the study with paired biopsies. Overall, the Ishak fibrosis score decreased in 74 (60.2%), remained unchanged in 32 (26.0%), and increased in 17 (13.8%) patients (p<0.0001). The Knodell necroinflammation score decreased in 58 (47.2%), remained unchanged in 29 (23.6%), and increased in 36 (29.3%) patients (p=0.0038). The proportion of patients with an Ishak score ≥ 3 significantly decreased from 26.8% (n=33) to 9.8% (n=12) (p=0.0002). Histological improvements were more pronounced in patients switching from placebo. Virological and biochemical outcomes also improved in placebo switchers and remained stable in patients who continued TDF. However, serum HBsAg levels did not change and no patient cleared HBsAg.
Conclusions
In CHB patients with minimally raised ALT, favorable histopathological, biochemical, and virological outcomes were observed following 3-year TDF treatment, for both treatment-naïve patients and those already on therapy.
5.Anti-vascular dementia effect of Yifei xuanfei jiangzhuo formula by inhibiting mitochondrial fission
Yulan FU ; Wei CHEN ; Guifeng ZHUO ; Xiaomin ZHU ; Yingrui HUANG ; Jinzhi ZHANG ; Fucai YANG ; Ying ZHANG ; Lin WU
China Pharmacy 2025;36(15):1859-1865
OBJECTIVE To investigate the intervention effect and its potential mechanism of Yifei xuanfei jiangzhuo formula by inhibiting mitochondrial fission in a vascular dementia (VaD) model rats. METHODS VaD rat model was established by bilateral common carotid artery ligation. The experimental animals were randomly divided into sham operation group (SHAM), model group (MOD),Yifei xuanfei jiangzhuo formula low-dose group (YFXF-L), Yifei xuanfei jiangzhuo formula high-dose group (YFXF-H), and Donepezil hydrochloride group (positive control), with 9 animals in each group. After 30 days of intervention, the spatial learning memory ability was assessed by Morris water maze experiment; HE staining was used to observe histopathological changes in CA1 area of hippocampus; ELISA was used to detect the levels of serum inflammatory factors [interleukin-1β (IL-1β) and IL-4]; Western blot was used to detect the expressions of heat shock protein 90 (HSP90)/mixed lineage kinase domain-like protein (MLKL)/dynamin-related protein 1 (Drp1) pathway-related proteins, mitochondrial fusion proteins (MFN1, MFN2), and adenosine triphosphate synthase 5A (ATP5A) in hippocampal tissues. The immunohistochemistry was used to detect the level of phosphorylated MLKL (p-MLKL); real-time fluorescence quantitative PCR was adopted to detect mRNA expressions ofHSP90, MFN1, MFN2 and ATP5A. RESULTS Compared with SHAM group, the escape latency of rats in the MOD group was significantly prolonged, the number of crossing the platform was significantly reduced, and the hippocampal tissues showed typical neuronal damage characteristics, the positive expression level of p-MLKL and the serum level of IL-1β significantly increased, while the serum level of IL-4 significantly decreased, the protein and mRNA expression of HSP90, as well as the protein expressions of p-MLKL/MLKL and p-Drp1(Ser616)/Drp1 were all significantly increased in hippocampal tissue, the protein and mRNA expressions of MFN1, MFN2 and ATP5A, and protein expression of p-Drp1(Ser637)/Drp1 were all significantly decreased (P<0.05). After the intervention of Yifei xuanfei jiangzhuo formula, above indicators in each treatment group were all significantly reversed (P<0.05). CONCLUSIONS Yifei xuanfei jiangzhuo formula may alleviate neuronal damage and neuroinflammatory responses in VaD rats by regulating the HSP90/MLKL/Drp1 signaling pathway, inhibiting mitochondrial fission, thereby maintaining mitochondrial dynamic balance and improving mitochondrial function.
6.Diagnostic Techniques and Risk Prediction for Cardiovascular-kidney-metabolic (CKM) Syndrome
Song HOU ; Lin-Shan ZHANG ; Xiu-Qin HONG ; Chi ZHANG ; Ying LIU ; Cai-Li ZHANG ; Yan ZHU ; Hai-Jun LIN ; Fu ZHANG ; Yu-Xiang YANG
Progress in Biochemistry and Biophysics 2025;52(10):2585-2601
Cardiovascular disease (CVD), chronic kidney disease (CKD), and metabolic disorders are the 3 major chronic diseases threatening human health, which are closely related and often coexist, significantly increasing the difficulty of disease management. In response, the American Heart Association (AHA) proposed a novel disease concept of “cardiovascular-kidney-metabolic (CKM) syndrome” in October 2023, which has triggered widespread concern about the co-treatment of heart and kidney diseases and the prevention and treatment of metabolic disorders around the world. This review posits that effectively managing CKM syndrome requires a new and multidimensional paradigm for diagnosis and risk prediction that integrates biological insights, advanced technology and social determinants of health (SDoH). We argue that the core pathological driver is a “metabolic toxic environment”, fueled by adipose tissue dysfunction and characterized by a vicious cycle of systemic inflammation and oxidative stress, which forms a common pathway to multi-organ injury. The at-risk population is defined not only by biological characteristics but also significantly impacted by adverse SDoH, which can elevate the risk of advanced CKM by a factor of 1.18 to 3.50, underscoring the critical need for equity in screening and care strategies. This review systematically charts the progression of diagnostic technologies. In diagnostics, we highlight a crucial shift from single-marker assessments to comprehensive multi-marker panels. The synergistic application of traditional biomarkers like NT-proBNP (reflecting cardiac stress) and UACR (indicating kidney damage) with emerging indicators such as systemic immune-inflammation index (SII) and Klotho protein facilitates a holistic evaluation of multi-organ health. Furthermore, this paper explores the pivotal role of non-invasive monitoring technologies in detecting subclinical disease. Techniques like multi-wavelength photoplethysmography (PPG) and impedance cardiography (ICG) provide a real-time window into microcirculatory and hemodynamic status, enabling the identification of early, often asymptomatic, functional abnormalities that precede overt organ failure. In imaging, progress is marked by a move towards precise, quantitative evaluation, exemplified by artificial intelligence-powered quantitative computed tomography (AI-QCT). By integrating AI-QCT with clinical risk factors, the predictive accuracy for cardiovascular events within 6 months significantly improves, with the area under the curve (AUC) increasing from 0.637 to 0.688, demonstrating its potential for reclassifying risk in CKM stage 3. In the domain of risk prediction, we trace the evolution from traditional statistical tools to next-generation models. The new PREVENT equation represents a major advancement by incorporating key kidney function markers (eGFR, UACR), which can enhance the detection rate of CKD in primary care by 20%-30%. However, we contend that the future lies in dynamic, machine learning-based models. Algorithms such as XGBoost have achieved an AUC of 0.82 for predicting 365-day cardiovascular events, while deep learning models like KFDeep have demonstrated exceptional performance in predicting kidney failure risk with an AUC of 0.946. Unlike static calculators, these AI-driven tools can process complex, multimodal data and continuously update risk profiles, paving the way for truly personalized and proactive medicine. In conclusion, this review advocates for a paradigm shift toward a holistic and technologically advanced framework for CKM management. Future efforts must focus on the deep integration of multimodal data, the development of novel AI-driven biomarkers, the implementation of refined SDoH-informed interventions, and the promotion of interdisciplinary collaboration to construct an efficient, equitable, and effective system for CKM screening and intervention.
7.Precision therapy targeting CAMK2 to overcome resistance to EGFR inhibitors in FAT1 -mutated oral squamous cell carcinoma.
Yumeng LIN ; Yibo HUANG ; Bowen YANG ; You ZHANG ; Ning JI ; Jing LI ; Yu ZHOU ; Ying-Qiang SHEN ; Qianming CHEN
Chinese Medical Journal 2025;138(15):1853-1865
BACKGROUND:
Oral squamous cell carcinoma (OSCC) is a prevalent type of cancer with a high mortality rate in its late stages. One of the major challenges in OSCC treatment is the resistance to epidermal growth factor receptor (EGFR) inhibitors. Therefore, it is imperative to elucidate the mechanism underlying drug resistance and develop appropriate precision therapy strategies to enhance clinical efficacy.
METHODS:
To evaluate the efficacy of the combination of the Ca 2+ /calmodulin-dependent protein kinase II (CAMK2) inhibitor KN93 and EGFR inhibitors, we performed in vitro and in vivo experiments using two FAT atypical cadherin 1 ( FAT1 )-deficient (SCC9 and SCC25) and two FAT1 wild-type (SCC47 and HN12) OSCC cell lines. We assessed the effects of EGFR inhibitors (afatinib or cetuximab), KN93, or their combination on the malignant phenotype of OSCC in vivo and in vitro . The alterations in protein expression levels of members of the EGFR signaling pathway and SRY-box transcription factor 2 (SOX2) were analyzed. Changes in the yes-associated protein 1 (YAP1) protein were characterized. Moreover, we analyzed mitochondrial dysfunction. Besides, the effects of combination therapy on mitochondrial dynamics were also evaluated.
RESULTS:
OSCC with FAT1 mutations exhibited resistance to EGFR inhibitors treatment. The combination of KN93 and EGFR inhibitors significantly inhibited the proliferation, survival, and migration of FAT1 -mutated OSCC cells and suppressed tumor growth in vivo . Mechanistically, combination therapy enhanced the therapeutic sensitivity of FAT1 -mutated OSCC cells to EGFR inhibitors by modulating the EGFR pathway and downregulated tumor stemness-related proteins. Furthermore, combination therapy induced reactive oxygen species (ROS)-mediated mitochondrial dysfunction and disrupted mitochondrial dynamics, ultimately resulting in tumor suppression.
CONCLUSION
Combination therapy with EGFR inhibitors and KN93 could be a novel precision therapeutic strategy and a potential clinical solution for EGFR-resistant OSCC patients with FAT1 mutations.
Humans
;
ErbB Receptors/metabolism*
;
Mouth Neoplasms/metabolism*
;
Cell Line, Tumor
;
Animals
;
Drug Resistance, Neoplasm/genetics*
;
Cadherins/metabolism*
;
Carcinoma, Squamous Cell/metabolism*
;
Mice
;
Mutation/genetics*
;
Mice, Nude
;
Protein Kinase Inhibitors/therapeutic use*
;
Cetuximab/pharmacology*
;
Afatinib/therapeutic use*
;
Cell Proliferation/drug effects*
;
Signal Transduction/drug effects*
8.Utility of the China-PAR Score in predicting secondary events among patients undergoing percutaneous coronary intervention.
Jianxin LI ; Xueyan ZHAO ; Jingjing XU ; Pei ZHU ; Ying SONG ; Yan CHEN ; Lin JIANG ; Lijian GAO ; Lei SONG ; Yuejin YANG ; Runlin GAO ; Xiangfeng LU ; Jinqing YUAN
Chinese Medical Journal 2025;138(5):598-600
9.Novel autosomal dominant syndromic hearing loss caused by COL4A2 -related basement membrane dysfunction of cochlear capillaries and microcirculation disturbance.
Jinyuan YANG ; Ying MA ; Xue GAO ; Shiwei QIU ; Xiaoge LI ; Weihao ZHAO ; Yijin CHEN ; Guojie DONG ; Rongfeng LIN ; Gege WEI ; Huiyi NIE ; Haifeng FENG ; Xiaoning GU ; Bo GAO ; Pu DAI ; Yongyi YUAN
Chinese Medical Journal 2025;138(15):1888-1890
10.Material basis of toad oil and its pharmacodynamic effect in a mouse model of atopic dermatitis.
Yu-Yang LIU ; Xin-Wei YAN ; Bao-Lin BIAN ; Yao-Hua DING ; Xiao-Lu WEI ; Meng-Yao TIAN ; Wei WANG ; Hai-Yu ZHAO ; Yan-Yan ZHOU ; Hong-Jie WANG ; Ying YANG ; Nan SI
China Journal of Chinese Materia Medica 2025;50(1):165-177
This study aims to comprehensively analyze the material basis of toad visceral oil(hereafter referred to as toad oil), and explore the pharmacological effect of toad oil on atopic dermatitis(AD). Ultra-high performance liquid chromatography-linear ion trap/orbitrap high-resolution mass spectrometry(UHPLC-LTQ-Orbitrap-MS) and gas chromatography-mass spectrometry(GC-MS) were employed to comprehensively identify the chemical components in toad oil. The animal model of AD was prepared by the hapten stimulation method. The modeled animals were respectively administrated with positive drug(0.1% hydrocortisone butyrate cream) and low-and high-doses(1%, 10%) of toad oil by gavage. The effect of toad oil on AD was evaluated with the AD score, ear swelling rate, spleen index, and pathological section results as indicators. A total of 99 components were identified by UHPLC-LTQ-Orbitrap-MS, including 14 bufadienolides, 7 fatty acids, 6 alkaloids, 10 ketones, 18 amides, and other compounds. After methylation of toad oil samples, a total of 20 compounds were identified by GC-MS. Compared with the model group, the low-and high-dose toad oil groups showed declined AD score, ear swelling rate, and spleen index, alleviated skin lesions, and reduced infiltrating mast cells. This study comprehensively analyzes the chemical composition and clarifies the material basis of toad oil. Meanwhile, this study proves that toad oil has a good therapeutic effect on AD and is a reserve resource of traditional Chinese medicine for external use in the treatment of AD.
Animals
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Dermatitis, Atopic/immunology*
;
Disease Models, Animal
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Mice
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Male
;
Gas Chromatography-Mass Spectrometry
;
Humans
;
Bufonidae
;
Oils/administration & dosage*
;
Chromatography, High Pressure Liquid
;
Female
;
Mice, Inbred BALB C

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