1.Research on compaction behavior of traditional Chinese medicine compound extract powders based on unsupervised learning
Ying FANG ; Yan-long HONG ; Xiao LIN ; Lan SHEN ; Li-jie ZHAO
Acta Pharmaceutica Sinica 2025;60(2):506-513
Direct compression is an ideal method for tablet preparation, but it requires the powder's high functional properties. The functional properties of the powder during compression directly affect the quality of the tablet. 15 parameters such as Py, FES-8KN,
2.An alkyne and two phenylpropanoid derivants from Carthamus tinctorius L.
Lin-qing QIAO ; Ge-ge XIA ; Ying-jie LI ; Wen-xuan ZHAO ; Yan-zhi WANG
Acta Pharmaceutica Sinica 2025;60(1):185-190
The chemical constituents from the
3.Status of Clinical Practice Guideline Information Platforms
Xueqin ZHANG ; Yun ZHAO ; Jie LIU ; Long GE ; Ying XING ; Simeng REN ; Yifei WANG ; Wenzheng ZHANG ; Di ZHANG ; Shihua WANG ; Yao SUN ; Min WU ; Lin FENG ; Tiancai WEN
Medical Journal of Peking Union Medical College Hospital 2025;16(2):462-471
Clinical practice guidelines represent the best recommendations for patient care. They are developed through systematically reviewing currently available clinical evidence and weighing the relative benefits and risks of various interventions. However, clinical practice guidelines have to go through a long translation cycle from development and revision to clinical promotion and application, facing problems such as scattered distribution, high duplication rate, and low actual utilization. At present, the clinical practice guideline information platform can directly or indirectly solve the problems related to the lengthy revision cycles, decentralized dissemination and limited application of clinical practice guidelines. Therefore, this paper systematically examines different types of clinical practice guideline information platforms and investigates their corresponding challenges and emerging trends in platform design, data integration, and practical implementation, with the aim of clarifying the current status of this field and providing valuable reference for future research on clinical practice guideline information platforms.
4.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.
5.Tasquinimod promotes the sensitivity of ovarian cancer cells to cisplatin by down-regulating the HDAC4/p21 pathway
Zhao LI ; Ya-Hong WU ; Ye-Qing GUO ; Xiao-Jia MIN ; Ying LIN
The Korean Journal of Physiology and Pharmacology 2025;29(2):191-204
To investigate whether Tasquinimod can influence cisplatin resistance in drug-resistant ovarian cancer (OC) cell lines by regulating histone deacetylase 4 (HDAC4) or p21, we explored its effects on the cell cycle, and associated mechanisms.RT-PCR and Western blot analyses, flow cytometry, CCK8 assay, and immunofluorescence were utilized to investigate the effects of Tasquinimod on gene expression, cell cycle, apoptosis, viability, and protein levels in OC cells. The results showed that Tasquinimod inhibited cell viability and promoted apoptosis in SKOV3/DDP (cisplatin) and A2780/DDP cells more effectively than DDP alone. In combination with cisplatin, Tasquinimod further enhanced cell apoptosis and reduced cell viability in these cell lines, an effect that could be reversed following HDAC4 overexpression. Tasquinimod treatment down-regulated HDAC4, Bcl-2, and cyclin D1, and CDK4 expression and up-regulated the cleaved-Caspase-3, and p21 expression in SKOV3/DDP and A2780/ DDP cells. Additionally, Tasquinimod inhibited DDP resistance in OC/DDP cells. These effects were similarly observed in OC mouse models treated with Tasquinimod. In conclusion, Tasquinimod can improve OC cells' sensitivity to DDP by down-regulating the HDAC4/p21 axis, offering insights into potential strategies for overcoming cisplatin resistance in OC.
6.Tasquinimod promotes the sensitivity of ovarian cancer cells to cisplatin by down-regulating the HDAC4/p21 pathway
Zhao LI ; Ya-Hong WU ; Ye-Qing GUO ; Xiao-Jia MIN ; Ying LIN
The Korean Journal of Physiology and Pharmacology 2025;29(2):191-204
To investigate whether Tasquinimod can influence cisplatin resistance in drug-resistant ovarian cancer (OC) cell lines by regulating histone deacetylase 4 (HDAC4) or p21, we explored its effects on the cell cycle, and associated mechanisms.RT-PCR and Western blot analyses, flow cytometry, CCK8 assay, and immunofluorescence were utilized to investigate the effects of Tasquinimod on gene expression, cell cycle, apoptosis, viability, and protein levels in OC cells. The results showed that Tasquinimod inhibited cell viability and promoted apoptosis in SKOV3/DDP (cisplatin) and A2780/DDP cells more effectively than DDP alone. In combination with cisplatin, Tasquinimod further enhanced cell apoptosis and reduced cell viability in these cell lines, an effect that could be reversed following HDAC4 overexpression. Tasquinimod treatment down-regulated HDAC4, Bcl-2, and cyclin D1, and CDK4 expression and up-regulated the cleaved-Caspase-3, and p21 expression in SKOV3/DDP and A2780/ DDP cells. Additionally, Tasquinimod inhibited DDP resistance in OC/DDP cells. These effects were similarly observed in OC mouse models treated with Tasquinimod. In conclusion, Tasquinimod can improve OC cells' sensitivity to DDP by down-regulating the HDAC4/p21 axis, offering insights into potential strategies for overcoming cisplatin resistance in OC.
7.Tasquinimod promotes the sensitivity of ovarian cancer cells to cisplatin by down-regulating the HDAC4/p21 pathway
Zhao LI ; Ya-Hong WU ; Ye-Qing GUO ; Xiao-Jia MIN ; Ying LIN
The Korean Journal of Physiology and Pharmacology 2025;29(2):191-204
To investigate whether Tasquinimod can influence cisplatin resistance in drug-resistant ovarian cancer (OC) cell lines by regulating histone deacetylase 4 (HDAC4) or p21, we explored its effects on the cell cycle, and associated mechanisms.RT-PCR and Western blot analyses, flow cytometry, CCK8 assay, and immunofluorescence were utilized to investigate the effects of Tasquinimod on gene expression, cell cycle, apoptosis, viability, and protein levels in OC cells. The results showed that Tasquinimod inhibited cell viability and promoted apoptosis in SKOV3/DDP (cisplatin) and A2780/DDP cells more effectively than DDP alone. In combination with cisplatin, Tasquinimod further enhanced cell apoptosis and reduced cell viability in these cell lines, an effect that could be reversed following HDAC4 overexpression. Tasquinimod treatment down-regulated HDAC4, Bcl-2, and cyclin D1, and CDK4 expression and up-regulated the cleaved-Caspase-3, and p21 expression in SKOV3/DDP and A2780/ DDP cells. Additionally, Tasquinimod inhibited DDP resistance in OC/DDP cells. These effects were similarly observed in OC mouse models treated with Tasquinimod. In conclusion, Tasquinimod can improve OC cells' sensitivity to DDP by down-regulating the HDAC4/p21 axis, offering insights into potential strategies for overcoming cisplatin resistance in OC.
8.Tasquinimod promotes the sensitivity of ovarian cancer cells to cisplatin by down-regulating the HDAC4/p21 pathway
Zhao LI ; Ya-Hong WU ; Ye-Qing GUO ; Xiao-Jia MIN ; Ying LIN
The Korean Journal of Physiology and Pharmacology 2025;29(2):191-204
To investigate whether Tasquinimod can influence cisplatin resistance in drug-resistant ovarian cancer (OC) cell lines by regulating histone deacetylase 4 (HDAC4) or p21, we explored its effects on the cell cycle, and associated mechanisms.RT-PCR and Western blot analyses, flow cytometry, CCK8 assay, and immunofluorescence were utilized to investigate the effects of Tasquinimod on gene expression, cell cycle, apoptosis, viability, and protein levels in OC cells. The results showed that Tasquinimod inhibited cell viability and promoted apoptosis in SKOV3/DDP (cisplatin) and A2780/DDP cells more effectively than DDP alone. In combination with cisplatin, Tasquinimod further enhanced cell apoptosis and reduced cell viability in these cell lines, an effect that could be reversed following HDAC4 overexpression. Tasquinimod treatment down-regulated HDAC4, Bcl-2, and cyclin D1, and CDK4 expression and up-regulated the cleaved-Caspase-3, and p21 expression in SKOV3/DDP and A2780/ DDP cells. Additionally, Tasquinimod inhibited DDP resistance in OC/DDP cells. These effects were similarly observed in OC mouse models treated with Tasquinimod. In conclusion, Tasquinimod can improve OC cells' sensitivity to DDP by down-regulating the HDAC4/p21 axis, offering insights into potential strategies for overcoming cisplatin resistance in OC.
9.Tasquinimod promotes the sensitivity of ovarian cancer cells to cisplatin by down-regulating the HDAC4/p21 pathway
Zhao LI ; Ya-Hong WU ; Ye-Qing GUO ; Xiao-Jia MIN ; Ying LIN
The Korean Journal of Physiology and Pharmacology 2025;29(2):191-204
To investigate whether Tasquinimod can influence cisplatin resistance in drug-resistant ovarian cancer (OC) cell lines by regulating histone deacetylase 4 (HDAC4) or p21, we explored its effects on the cell cycle, and associated mechanisms.RT-PCR and Western blot analyses, flow cytometry, CCK8 assay, and immunofluorescence were utilized to investigate the effects of Tasquinimod on gene expression, cell cycle, apoptosis, viability, and protein levels in OC cells. The results showed that Tasquinimod inhibited cell viability and promoted apoptosis in SKOV3/DDP (cisplatin) and A2780/DDP cells more effectively than DDP alone. In combination with cisplatin, Tasquinimod further enhanced cell apoptosis and reduced cell viability in these cell lines, an effect that could be reversed following HDAC4 overexpression. Tasquinimod treatment down-regulated HDAC4, Bcl-2, and cyclin D1, and CDK4 expression and up-regulated the cleaved-Caspase-3, and p21 expression in SKOV3/DDP and A2780/ DDP cells. Additionally, Tasquinimod inhibited DDP resistance in OC/DDP cells. These effects were similarly observed in OC mouse models treated with Tasquinimod. In conclusion, Tasquinimod can improve OC cells' sensitivity to DDP by down-regulating the HDAC4/p21 axis, offering insights into potential strategies for overcoming cisplatin resistance in OC.
10.Gut microbiota and Parkinson's disease.
Lin WANG ; Ying CUI ; Bingyu HAN ; Yitong DU ; Kenish Sirajbhai SALEWALA ; Shiya WANG ; Wenlu ZHAO ; Hongxin ZHANG ; Sichen WANG ; Xinran XU ; Jianpeng MA ; Yan ZHU ; Houzhen TUO
Chinese Medical Journal 2025;138(3):289-297
Emerging evidence suggests that dysbiosis of the gut microbiota is associated with the pathogenesis of Parkinson's disease (PD), a prevalent neurodegenerative disorder. The microbiota-gut-brain axis plays a crucial role in the development and progression of PD, and numerous studies have demonstrated the potential therapeutic benefits of modulations in the intestinal microbiota. This review provides insights into the characterization of the gut microbiota in patients with PD and highlights associations with clinical symptoms and underlying mechanisms. The discussion underscores the increased influence of the gut microbiota in the pathogenesis of PD. While the relationship is not fully elucidated, existing research demonstrates a strong correlation between changes in the composition of gut microbiota and disease development, and further investigation is warranted to explain the specific underlying mechanisms.
Humans
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Parkinson Disease/microbiology*
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Gastrointestinal Microbiome/physiology*
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Dysbiosis/microbiology*

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