1.Explainable Machine Learning Model for Predicting Prognosis in Patients with Malignant Tumors Complicated by Acute Respiratory Failure: Based on the eICU Collaborative Research Database in the United States
Zihan NAN ; Linan HAN ; Suwei LI ; Ziyi ZHU ; Qinqin ZHU ; Yan DUAN ; Xiaoting WANG ; Lixia LIU
Medical Journal of Peking Union Medical College Hospital 2026;17(1):98-108
To develop and validate a model for predicting intensive care unit (ICU) mortality risk in patients with malignant tumors complicated by acute respiratory failure (ARF) based on an explainable machine learning framework. Clinical data of patients with malignant tumors and ARF were extracted from the eICU Collaborative Research Database in the United States, including demographic characteristics, comorbidities, vital signs, laboratory test indicators, and major interventions within the first 24 hours after ICU admission.The study outcome was ICU death.Enrolled patients were randomly divided into a training set and a validation set at a ratio of 7:3.Predictor variables were selected using least absolute shrinkage and selection operator (LASSO) regression.Five machine learning algorithms-extreme gradient boosting (XGBoost), support vector machine (SVM), Logistic regression, multilayer perceptron (MLP), and C5.0 Decision Tree-were employed to construct predictive models.Model performance was evaluated based on the area under the receiver operating characteristic curve (AUC), accuracy, sensitivity, and other metrics.The optimal model was further interpreted using the Shapley additive explanations (SHAP) algorithm. A total of 3196 patients with malignant tumors complicated by ARF were included.The training set comprised 2, 261 patients and the validation set 935 patients; 683 patients died during ICU stay, while 2513 survived.LASSO regression ultimately selected 12 variables closely associated with patient ICU outcomes, including sepsis comorbidity, use of vasoactive drugs, and within the first 24 hours after ICU admission: minimum mean arterial pressure, maximum heart rate, maximum respiratory rate, minimum oxygen saturation, minimum serum bicarbonate, minimum blood urea nitrogen, maximum white blood cell count, maximum mean corpuscular volume, maximum serum potassium, and maximum blood glucose.After model evaluation, the XGBoost model demonstrated the best performance.The AUCs for predicting ICU mortality risk in the training and validation sets were 0.940 and 0.763, respectively; accuracy was 88.3% and 81.2%;sensitivity was 98.5% and 95.9%.Its predictive performance also remained optimal in sensitivity analyses.SHAP analysis indicated that the top five variables contributing to the model's predictions were minimum oxygen saturation, minimum serum bicarbonate, minimum mean arterial pressure, use of vasoactive drugs, and maximum white blood cell count. This study successfully developed a mortality risk prediction model for ICU patients with malignant tumors complicated by ARF based on a large-scale dataset and performed explainability analysis.The model aids clinicians in early identification of high-risk patients and implementing individualized interventions.
2.Intervention Strategies for Heart Failure with Preserved Ejection Fraction Using Combined Classical Formulas Based on the Theory of "Disease of Both Blood and Water"
Yuzhi JIA ; Qingyong HE ; Jie WANG ; Xin ZHAO ; Ziyi WANG ; Dongmei LI ; Junqiao AN
Journal of Traditional Chinese Medicine 2026;67(4):370-374
Based on the theory of "disease of both blood and water" in Essentials from the Golden Cabinet (《金匮要略》), and in combination with the dynamic syndrome evolution of heart failure with preserved ejection fraction (HFpEF), this paper systematically clarifies the pathomechanism of HFpEF, characterized by yang deficiency as the root, blood stasis as the pivotal factor and water retention as the manifestation. Accordingly, the therapeutic principles have been proposed, which are warming yang and banking up original qi to consolidate the root, activating blood and unblocking collaterals to smooth the mechanism, and promoting urination and regulating pivot to remove the branch. On this basis, a compound formula structure of "one monarch, one minister and one assistant" is established, forming an integrated intervention strategy that synergistically combines the three methods of warming yang, activating blood, and promoting urination through combined classical formulas. Zhenwu Decoction (真武汤), which warms yang and dissolves rheum, is used to consolidate the root and directly target the source of yang deficiency, serving as the monarch; Guizhi Fuling Pills (桂枝茯苓丸), which activates blood, promotes urination and unblocks the pivot, assists in interrupting the binding of blood stasis and water retention, serving as the minister; Tingli Dazao Xiefei Decoction (葶苈大枣泻肺汤), which regulates qi, disperses retained fluids, and eliminates the manifestation, alleviates acute water-retention symptoms, serving as the assistant. This compound formula is warming without being drying, diuretic without being drastic, and dispels stasis without consuming blood, thereby achieving the therapeutic effects of warming yang, activating blood, and promoting urination.
3.Association between urinary levels of six per- and poly-fluoroalkyl substances in early pregnancy and risk of gestational diabetes mellitus
Ziyi LIU ; Luming YAN ; Tingting JIANG ; Yaling LI ; Chao ZHANG ; Jiahu HAO
Journal of Environmental and Occupational Medicine 2026;43(2):174-181
Background Per- and poly-fluoroalkyl substances (PFAS) can influence gestational diabetes mellitus (GDM); however, current studies on their association are limited and have yielded inconsistent findings. Objective To investigate the association between maternal exposure to PFAS, as measured by urinary concentrations in early pregnancy, and the risk of developing GDM. Methods Based on the Wuhu Birth Cohort in Anhui Province conducted between 2020 and 2023, this study included
4.Study on the safety and pharmacological effect on improving dyspepsia of Shuangshu decoction in rats
Xinyuan CHEN ; Changzhou XIONG ; Jiongfen LI ; Kangyi YU ; Huan XU ; Yingxia WANG ; Dan LIAO ; Junyu TAO ; Ziyi YANG ; Caizhi LIN
China Pharmacy 2025;36(9):1059-1064
OBJECTIVE To study the safety of Shuangshu decoction in rats and its efficacy in improving functional dyspepsia (FD) in rats. METHODS In safety test, 40 rats were divided into blank control group, Shuangshu decoction low-dose, medium- dose and high-dose groups [108, 216, 324 g/(kg·d), calculated by raw medicine, the same applies below]; they were given relevant medicine intragastrically, for continuous 14 days. The mortality and toxic reactions of rats were recorded, and the organ indexes of the liver, kidney, spleen, lung and heart of rats were calculated; the pathological morphological changes in the liver, kidney, spleen, lung, heart, stomach, duodenum, and colon were observed to evaluate the acute toxicity of Shuangshu decoction. Another 40 rats were grouped and administered in the same way for 30 consecutive days. The mortality and toxic reactions of the rats were recorded, and the corresponding organ indexes were calculated. The pathological morphological changes in the corresponding organs were observed, and blood routine and serum biochemical indicators were measured, in order to assess the subacute toxicity of Shuangshu decoction. In pharmacodynamic experiments: 50 rats were divided into blank control group, model group, and Shuangshu decoction low-, medium-, and high-dose groups (9.45, 18.9, 37.8 g/kg), with 10 rats in each group. Except for blank control group, rats in all other groups were used to establish the FD rat model by subcutaneous injection of loperamide (3.5 mg/kg). Rats in each group were administered the corresponding drug solution/normal saline intragastrically, once a day, for 14 consecutive days. After the last medication, fecal moisture content, intestinal propulsion rate, gastric emptying rate and serum level of motilin were all detected, and interstitial cell of Cajal (ICC) ultrastructure of rats was observed in colon tissue. RESULTS The safety experiments showed that no death occurred in each dose group, and no significant difference was found in organ coefficient, routine blood and serum biological index, compared to blank control group (P>0.05); no abnormality was found in organ appearance and pathological sections. The results of the pharmacodynamic experiments showed that, compared with the blank control group, the fecal moisture content, gastric emptying rate, intestinal propulsion rate, and serum motilin levels in the model group were significantly decreased (P<0.05); in the colonic tissue, the mitochondria in the ICC exhibited severe swelling with the disappearance of cristae, and the endoplasmic reticulum was dilated. Compared with model group, the rats in Shuangshu decoction high-dose group showed significant increases in the above quantitative indicators (P< 0.05); additionally, there was a large number of mitochondria in the ICC of the colonic tissue, with clear cristae and regular arrangement. CONCLUSIONS Shuangshu decoction is safe and has a beneficial improving effect on FD rats; its mechanism of action may be related to the regulation of gastrointestinal hormone expression to promote gastric emptying and intestinal propulsion, as well as the repair of mitochondrial structure in ICCs to restore gastrointestinal function.
5.Chaihu Shugansan Combined with Ferulic Acid Regulates BDNF/TrkB Signaling Pathway and Monoamine Neurotransmitters in Frontal Cortex of Rat Model of CUMS
Yuexin LI ; Zhijing ZHANG ; Ziyi GUO ; Di YAN ; Xueyan HU ; Jianping YAO
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(15):28-37
ObjectiveTo observe the antidepressant effect of Chaihu Shugansan combined with ferulic acid on the rat model of chronic unpredictable mild stress (CUMS) and explore the mechanism from the histomorphology of frontal cortex, expression of key molecules in the brain-derived neurotrophic factor (BDNF)/tyrosine kinase receptor B (TrkB) signaling pathway, and changes in monoamine neurotransmitter levels. MethodsSixty adult male SD rats were randomized into six groups (n=10): blank control, depression model, Chaihu Shugansan (3.3 g·kg-1·d-1), ferulic acid (50 mg·kg-1·d-1), Chaihu Shugansan (3.3 g·kg-1·d-1) + ferulic acid (50 mg·kg-1·d-1), and fluoxetine (2.1 mg·kg-1·d-1). Rats in other groups except the blank control group were subjected to a mild chronic unpredictable stress stimulus every day. Seven stimuli were used, including fasting with free access to water for 24 h, water deprivation with free access to food for 24 h, wetting the bedding with water in the cage, restraint for 3 h, tail clamping for 1 min, swimming in ice water at 4 ℃, and day and night reversal. Each stimulus was used 1 to 3 times, and the modeling lasted for a total of 21 days. At the same time of stimulation, rats in each medication group were treated with corresponding agents by gavage, while those in the blank control group and the depression model group received equal volumes of normal saline by gavage. The open field test, sucrose preference test, and forced swimming test were conducted before and after modeling. The rats were anesthetized by intraperitoneal injection of 3% pentobarbital sodium, and the frontal cortex was isolated on ice. The mRNA and protein levels of BDNF, TrkB, and cyclic adenosine monophosphate-responsive element-binding protein (CREB) in the frontal cortex were determined by Real-time fluorescence quantitative polymerase chain reaction (Real-time PCR) and Western blot, respectively. The levels of monoamine neurotransmitters 5-hydroxytryptamine (5-HT), dopamine (DA), and norepinephrine (NE) in the frontal cortex were determined by enzyme-linked immunosorbent assay. Light microscopy was employed to observe the histopathological changes in the frontal cortex. ResultsCompared with the blank control group, the depression model group showed reduced body mass (P<0.05, P<0.01), decreased number of crossings and rearings in the open field test and sucrose preference (P<0.01), prolonged time of immobility in the forced swimming test (P<0.01), reduced neuronal cells, increased necrotic cells, and darkening cell staining in the frontal cortex, down-regulated mRNA and protein levels of BDNF, TrkB, CREB, and lowered levels of 5-HT, NE, and DA in the frontal cortex (P<0.01). Compared with the depression model group, each intervention group showed improved general state, increased body mass (P<0.05), increased number of crossings (P<0.05), shortened immobility time in the forced swimming test (P<0.01), increased neuronal cells, reduced necrotic cells, and lightened cellular staining in the frontal cortex, up-regulated mRNA and protein levels of BDNF, TrkB and CREB, and elevated levels of 5-HT, NE, and DA in the frontal cortex (P<0.01). Moreover, the Chaihu Shugansan + ferulic acid group outperformed the Chaihu Shugansan group and the ferulic acid group in increasing the body mass and the 5-HT content in the frontal cortex (P<0.05). The combination group outperformed the Chaihu Shugansan group regarding the number of rearings and up-regulation in the mRNA level of BDNF in the frontal cortex (P<0.05), and it was superior to the ferulic acid group in terms of shortening the immobility time in the forced swimming test, up-regulating the mRNA levels of BDNF, TrkB, and CREB and the protein levels of BDNF and CREB in the frontal cortex, and increasing the DA content in the frontal cortex (P<0.05). ConclusionChaihu Shugansan combined with ferulic acid can exert antidepressant effect on the rat model of CUMS by regulating the BDNF/TrkB signaling pathway and monoamine neurotransmitter content in the frontal cortex. Moreover, the antidepressant effect of Chaihu Shugansan combined with ferulic acid was more significant than that of Chaihu Shugansan and ferulic acid used alone.
6.Application of indocyanine green fluorescence imaging technology in biliary atresia
Hanlin LI ; Yuming HE ; Ziyi LUO ; Xiaogang XU
Journal of Clinical Hepatology 2025;41(6):1235-1240
Biliary atresia (BA) is characterized by progressive inflammation and fibrous obstruction of bile ducts, ultimately leading to cholestatic liver cirrhosis. Kasai surgery is the standard procedure for the treatment of BA, and early diagnosis is a key influencing factor for the prognosis of BA. Indocyanine green (ICG) is a near-infrared photosensitive dye that is efficiently and selectively absorbed by hepatocytes after intravenous injection, and it enters the intestine via bile and is excreted with the feces in the free form, with a favorable safety profile. In addition, ICG can emit fluorescence under near-infrared light, which can be captured by camera instruments and converted into visual images, and ICG fluorescence imaging technology can reflect the intraoperative situation in real time and significantly improve the success rate of the surgical procedure. This article reviews the advances in the application of ICG in early preoperative diagnosis, intraoperative imaging, and postoperative liver function assessment in recent years.
7.The modern Silk Road spirit leads the “Belt and Road” Initiative to facilitate global tropical disease control programmes
Liying ZHOU ; Xiangjie LI ; Ziyi CHEN
Chinese Journal of Schistosomiasis Control 2025;37(3):316-320
The modern Silk Road spirit advocating for win-win cooperative partnerships, aligns with the target of the “Belt and Road” Initiative, which provides new opportunities for collaboration on tropical disease control among countries along the “Belt and Road”. The modern Silk Road spirit may effectively facilitate tropical disease control programmes and improve disease control concepts and approaches through collaborative research, information sharing, infrastructure development, and joint efforts in pharmaceuticals and vaccine development; however, there are still multiple challenges that require to be overcome, including political and cultural differences, and data sharing. Therefore, countries participating in the “Belt and Road” Initiative need to work together with mutual respects, build effective collaborative mechanisms and improve communications to jointly facilitate the sustainable development of global tropical disease control programmes and cultural exchange, so as to contribute to global health and prosperities. This article discusses the contribution of the modern Silk Road spirit to facilitating global tropical disease control programmes in the context of the “Belt and Road” Initiative.
8.A machine learning-based trajectory predictive modeling method for manual acupuncture manipulation.
Jian KANG ; Li LI ; Shu WANG ; Xiaonong FAN ; Jie CHEN ; Jinniu LI ; Wenqi ZHANG ; Yuhe WEI ; Ziyi CHEN ; Jingqi YANG ; Jingwen YANG ; Chong SU
Chinese Acupuncture & Moxibustion 2025;45(9):1221-1232
OBJECTIVE:
To propose a machine learning-based method for predicting the trajectories during manual acupuncture manipulation (MAM), aiming to improve the precision and consistency of acupuncture practitioner' operation and provide the real-time suggestions on MAM error correction.
METHODS:
Computer vision technology was used to analyze the hand micromotion when holding needle during acupuncture, and provide a three-dimensional coordinate description method of the index finger joints of the holding hand. Focusing on the 4 typical motions of MAM, a machine learning-based MAM trajectory predictive model was designed. By integrating the changes of phalangeal joint angle and hand skeletal information of acupuncture practitioner, the motion trajectory of the index finger joint was predicted accurately. Besides, the roles of machine learning-based MAM trajectory predictive model in the skill transmission of acupuncture manipulation were verified by stratified randomized controlled trial.
RESULTS:
The performance of MAM trajectory predictive model, based on the long short-term memory network (LSTM), obtained the highest stability and precision, up to 98%. The learning effect was improved when the model applied to the skill transmission of acupuncture manipulation.
CONCLUSION
The machine learning-based MAM predictive model provides acupuncture practitioner with precise action prediction and feedback. It is valuable and significant for the inheritance and error correction of manual operation of acupuncture.
Humans
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Acupuncture Therapy/instrumentation*
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Machine Learning
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Adult
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Male
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Female
9.TCM network pharmacology: new perspective integrating network target with artificial intelligence and multi-modal multi-omics technologies.
Ziyi WANG ; Tingyu ZHANG ; Boyang WANG ; Shao LI
Chinese Journal of Natural Medicines (English Ed.) 2025;23(11):1425-1434
Traditional Chinese medicine (TCM) demonstrates distinctive advantages in disease prevention and treatment. However, analyzing its biological mechanisms through the modern medical research paradigm of "single drug, single target" presents significant challenges due to its holistic approach. Network pharmacology and its core theory of network targets connect drugs and diseases from a holistic and systematic perspective based on biological networks, overcoming the limitations of reductionist research models and showing considerable value in TCM research. Recent integration of network target computational and experimental methods with artificial intelligence (AI) and multi-modal multi-omics technologies has substantially enhanced network pharmacology methodology. The advancement in computational and experimental techniques provides complementary support for network target theory in decoding TCM principles. This review, centered on network targets, examines the progress of network target methods combined with AI in predicting disease molecular mechanisms and drug-target relationships, alongside the application of multi-modal multi-omics technologies in analyzing TCM formulae, syndromes, and toxicity. Looking forward, network target theory is expected to incorporate emerging technologies while developing novel approaches aligned with its unique characteristics, potentially leading to significant breakthroughs in TCM research and advancing scientific understanding and innovation in TCM.
Artificial Intelligence
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Medicine, Chinese Traditional
;
Humans
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Network Pharmacology/methods*
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Drugs, Chinese Herbal/pharmacology*
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Animals
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Multiomics
10.Current status and progress of health economics research on allergen specific immunotherapy.
Qianxue HU ; Liyue LI ; Ziyi LONG ; Bingyue HUO ; Yuzhe HAO ; Xiangning CHENG ; Tianjian XIE ; Qing CHENG ; Tao ZHOU ; Liuqing ZHOU ; Shan CHEN ; Yue ZHOU ; Jianjun CHEN
Journal of Clinical Otorhinolaryngology Head and Neck Surgery 2025;39(9):894-898
Allergen specific immunotherapy(AIT), as an effective treatment for allergic rhinitis, asthma, and other allergic diseases, has received widespread attention in the field of health economic evaluation in recent years. This article reviews the current status and progress of economic research on AIT, mainly discussing the socioeconomic burden of allergic rhinitis, the results of health economic studies from different countries, and the primary methods used in health economic research on allergic rhinitis. Existing studies indicate that, although AIT involves high initial costs, it offers significant long-term economic benefits by reducing healthcare resource utilization, improving patient quality of life, and decreasing medication dependence. Moreover, reducing initial costs, applying standardized assessment tools, and conducting cross-national comparative analyses have become key directions for future research. Overall, AIT demonstrates strong potential in terms of long-term health benefits and cost savings, providing solid economic evidence for the management of allergic diseases.
Humans
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Desensitization, Immunologic/economics*
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Cost-Benefit Analysis
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Rhinitis, Allergic/economics*
;
Economics, Medical

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