1.Altered Lymphocyte Subsets in Perioperative Cancer Patients Before and After Septic Shock: Characteristics and Prognostic Implications
Miao WEI ; Lili YANG ; Xiaoyan LI ; Huifang LYU ; Yan DUAN
Medical Journal of Peking Union Medical College Hospital 2026;17(1):86-97
To investigate the changes in peripheral blood immune cells before and after the onset of septic shock in patients with malignant tumors, and to analyze the relationship between these immune cells and patient prognosis. A retrospective study was conducted, enrolling perioperative tumor patients who were transferred to the intensive care unit (ICU) due to septic shock at Shanxi Provincial Cancer Hospital between October 2018 and December 2019.Changes in lymphocyte counts and subsets were compared before and after septic shock (measured prior to septic shock onset and within 72 hours after onset).A multivariate Logistic regression model was used to analyze the relationship between these immune indicators and the 28-day mortality risk in tumor patients following septic shock. A total of 47 tumor patients transferred to the ICU due to septic shock were included.There were 32 males and 15 females, with a mean age of (63.9±11.2) years.Gastrointestinal tumors were the most common tumor type (76.60%, 36/47), and abdominal/pelvic infection (65.96%, 31/47) was the primary source of infection.Within 28 days after ICU transfer, 12 patients died and 35 survived. Compared to pre-septic shock levels, lymphocyte counts significantly decreased after septic shock[530(300, 830) cells/μL Perioperative tumor patients experience acute depletion of peripheral blood lymphocyte subsets following septic shock.Among various immune indicators, regulatory T cell count serves as an independent predictor of short-term mortality risk.Evaluating baseline immune function in such patients may help optimize treatment strategies and improve overall prognosis.
2.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.
3.Tanreqing Capsules protect lung and gut of mice infected with influenza virus via "lung-gut axis".
Nai-Fan DUAN ; Yuan-Yuan YU ; Yu-Rong HE ; Feng CHEN ; Lin-Qiong ZHOU ; Ya-Lan LI ; Shi-Qi SUN ; Yan XUE ; Xing ZHANG ; Gui-Hua XU ; Yue-Juan ZHENG ; Wei ZHANG
China Journal of Chinese Materia Medica 2025;50(8):2270-2281
This study aims to explore the mechanism of lung and gut protection by Tanreqing Capsules on the mice infected with influenza virus based on "the lung-gut axis". A total of 110 C57BL/6J mice were randomized into control group, model group, oseltamivir group, and low-and high-dose Tanreqing Capsules groups. Ten mice in each group underwent body weight protection experiments, and the remaining 12 mice underwent experiments for mechanism exploration. Mice were infected with influenza virus A/Puerto Rico/08/1934(PR8) via nasal inhalation for the modeling. The lung tissue was collected on day 3 after gavage, and the lung tissue, colon tissue, and feces were collected on day 7 after gavage for subsequent testing. The results showed that Tanreqing Capsules alleviated the body weight reduction and increased the survival rate caused by PR8 infection. Compared with model group, Tanreqing Capsules can alleviate the lung injury by reducing the lung index, alleviating inflammation and edema in the lung tissue, down-regulating viral gene expression at the late stage of infection, reducing the percentage of neutrophils, and increasing the percentage of T cells. Tanreqing Capsules relieved the gut injury by restoring the colon length, increasing intestinal lumen mucin secretion, alleviating intestinal inflammation, and reducing goblet cell destruction. The gut microbiota analysis showed that Tanreqing Capsules increased species diversity compared with model group. At the phylum level, Tanreqing Capsules significantly increased the abundance of Firmicutes and Actinobacteria, while reducing the abundance of Bacteroidota and Proteobacteria to maintain gut microbiota balance. At the genus level, Tanreqing Capsules significantly increased the abundance of unclassified_f_Lachnospiraceae while reducing the abundance of Bacteroides, Eubacterium, and Phocaeicola to maintain gut microbiota balance. In conclusion, Tanreqing Capsules can alleviate mouse lung and gut injury caused by influenza virus infection and restore the balance of gut microbiota. Treating influenza from the lung and gut can provide new ideas for clinical practice.
Animals
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Drugs, Chinese Herbal/administration & dosage*
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Mice
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Lung/metabolism*
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Mice, Inbred C57BL
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Capsules
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Orthomyxoviridae Infections/virology*
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Gastrointestinal Microbiome/drug effects*
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Male
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Humans
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Female
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Influenza A virus/physiology*
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Influenza, Human/virology*
4.Application practice and exploration of artificial intelligence technology in entire industrial chain of traditional Chinese medicine resources.
Hao ZHU ; Sheng GUO ; Hui YAN ; Shu-Lan SU ; Jin-Ao DUAN ; Ping XIAO
China Journal of Chinese Materia Medica 2025;50(10):2888-2904
With the growing awareness of public health, the value and importance of traditional Chinese medicine(TCM) resources have become increasingly prominent. Despite the undeniable significance of TCM in medical treatment and healthcare, the protection, development, and utilization of TCM resources still face numerous challenges. Under the traditional model, the development and utilization of TCM resources heavily rely on manual labor and empirical decision-making, which not only leads to inefficiencies and high costs but also causes serious issues such as unstable drug quality and imbalances in market supply and demand. In the current era of rapid advancements in artificial intelligence(AI) and technology, AI has emerged as a new engine to address many challenges and difficulties throughout the entire TCM resource industry chain. By leveraging AI technology, intelligent management, precise production, and optimized utilization of TCM resources can be achieved, thereby improving efficiency, reducing costs, ensuring stable quality, and balancing market supply and demand. This article primarily explores the application of AI technology in the entire TCM resource industry chain from different perspectives and provides an in-depth analysis of the future development of AI in the TCM industry. It holds significant importance and value in promoting the intelligent development of the TCM sector and facilitating the healthy development of the entire TCM resource industry chain.
Artificial Intelligence
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Medicine, Chinese Traditional/economics*
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Humans
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Drugs, Chinese Herbal/economics*
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Drug Industry
5.TPMGD: A genomic database for the traditional medicines in Pakistan.
Rushuang XIANG ; Huihua WAN ; Wei SUN ; Baozhong DUAN ; Weiqian CHEN ; Xue CAO ; Sifan WANG ; Chi SONG ; Shilin CHEN ; Yan WANG ; Atia-Tul WAHAB ; M IQBAL CHOUDHARY ; Xiangxiao MENG
Chinese Herbal Medicines 2025;17(1):87-93
OBJECTIVE:
In Pakistan, traditional medicines are an important component of the medical system, with numerous varieties and great demands. However, due to the scattered resources and the lack of systematic collection and collation, adulteration of traditional Pakistani medicine (TPM) is common, which severely affects the safety of their medicinal use and the import and export trades. Therefore, it is urgent to systematically organize and unify the management of TPM and establish a set of standards and operable methods for the identification of TPM.
METHODS:
We collected and organized the information on 128 TPMs with regard to their medicinal parts, efficacy, usage, and genetic material, based on Pakistan Hamdard Pharmacopoeia of Eastern Medicine: Pharmaceutical Codex. The genetic information of TPM is summarized from national center for biotechnology information (NCBI) and global pharmacopoeia genome database (GPGD). Furthermore, we utilized bioinformatics technology to supplement the chloroplast genome (cp-genome) data of 12 TPMs. To build the web server, we used the Linux + Apache + MySQL + PHP (LAMP) system and constructed the webpage on a PHP: Hypertext Preprocessor (PHP) model view controller (MVC) framework.
RESULTS:
We constructed a new genomic database, the traditional Pakistani medicine genomic database (TPMGD). This database comprises five entries, namely homepage, medicinal species, species identification, basic local alignment search tool (BLAST), and download. Currently, TPMGD contains basic profiles of 128 TPMs and genetic information of 102 TPMs, including 140 cytochrome c oxidase subunit I (COI) sequences and 119 mitochondrial genome sequences from Bombyx mori, 1 396 internal transcribed spacer 2 (ITS2) sequences and 1 074 intergenic region (psbA-trnH) sequences specific to 92 and 83 plant species, respectively. Additionally, TPMGD includes 199 cp-genome sequences of 82 TPMs.
CONCLUSION
TPMGD is a multifunctional database that integrates species description, functional information inquiry, genetic information storage, molecular identification of TPM, etc. The database not only provides convenience for TPM information queries but also establishes the scientific basis for the medication safety, species identification, and resource protection of TPM.
6.Inhibitory effect of hydroxy safflower yellow A on neuronal pyroptosis after glucose-oxygen deprivation/reglucose-reoxygenation treatment
Zeqian WANG ; Yanzhe DUAN ; Yige WU ; Dong MA ; Jianjun HUANG ; Yuqing YAN ; Lijuan SONG
Chinese Journal of Tissue Engineering Research 2025;29(19):4044-4051
BACKGROUND:Hydroxy safflower yellow A has anti-ischemia,anti-oxidation,anti-thrombotic and anti-inflammatory effects.Whether it affects neuronal pyroptosis after glucose-oxygen deprivation/reglucose-reoxygenation is still unclear. OBJECTIVE:To investigate the protective effect of hydroxy safflower yellow A on neuronal pyroptosis and its mechanism. METHODS:HT22 cells in logarithmic growth phase were randomly divided into five groups:normal group,model group,hydroxy safflower yellow A group,colivelin group,and colivelin+hydroxy safflower yellow A group.HT22 cells were treated with glucose-oxygen deprivation/reglucose-reoxygenation to establish neuronal pyroptosis model,and then treated with STAT3 agonist Colivelin and hydroxy safflower yellow A.JC-1 probe was employed to assess changes in mitochondrial membrane potential.Reactive oxygen species kit was used to determine the content of reactive oxygen species in cells.GSDMD/TUNEL staining was conducted to observe cell pyroptosis.Immunofluorescence analysis was performed to detect STAT3 and GSDMD protein expression.RT-PCR was utilized for assessing mRNA expression levels of STAT3,NLRP3,and Caspase-1.Western blot assay was utilized to measure the protein expression levels of p-STAT3,NLRP3,GSDMD,Cleaved-caspase-1,and interleukin-1β. RESULTS AND CONCLUSION:(1)Compared with the normal group,the number of pyroptotic cells increased in HT22 cells in the model group along with a significant increase in protein expression levels of p-STAT3,NLRP3,Cleaved-caspase-1,GSDMD,and interleukin-1β.Compared with the model group,the number of pyroptotic cells reduced,and the expression of pyroptosis-related proteins significantly decreased in the hydroxy safflower yellow A group.(2)In comparison with the model group,pyroptosis worsened in the colivelin group where mitochondrial membrane potential decreased along with elevated reactive oxygen species content and increased mRNA expression levels of STAT3,NLRP3,and Caspase-1,as well as increased protein expression levels of p-STAT3,NLRP3,GSDMD,Cleaved-caspase-1,and interleukin-1β.Compared with the Colivelin group,above indexes were improved in the colivelin+hydroxy safflower yellow A group.These results suggest that hydroxy safflower yellow A plays a neuroprotective role through STAT3 signaling pathway to inhibit HT22 pyroptosis after glucose-oxygen deprivation/reglucose-reoxygenation treatment.
7.Risk factors, diagnosis and treatment of perforation after endoscopic retrograde cholangiopancreatography
Wenyu ZHAO ; Yan FU ; Yajiao DUAN ; Juan TANG ; Jing NI
Journal of Clinical Hepatology 2025;41(3):580-587
After 50 years of clinical development, endoscopic retrograde cholangiopancreatography (ERCP) has become the preferred method for the clinical diagnosis and treatment of cholangio-pancreatic duct diseases; however, the major postoperative complications of ERCP, such as pancreatitis, hemorrhage, and perforation, are still a difficult issue faced by clinicians, and postoperative perforation is associated with an extremely high risk of death. Therefore, it is very important to explore the risk factors for perforation after ERCP, make a definite diagnosis of perforation in a timely manner, and formulate precise prevention and treatment measures. By reviewing a large number of articles, this article summarizes the influencing factors for perforation after ERCP and related diagnosis and treatment measures.
8.Study on the influential factors of blood concentration for duloxetine based on therapeutic drug monitoring
Yang LUN ; Liguang DUAN ; Feiyue AN ; Ran FU ; Jing YU ; Chaoli CHEN ; Mengqiang ZHAO ; Shi SU ; Yang SONG ; Jiaqi WANG ; Yuhang YAN ; Chunhua ZHOU
China Pharmacy 2025;36(6):727-731
OBJECTIVE To explore the main factors influencing the blood concentration of duloxetine, and provide a scientific basis for the individualized use of duloxetine. METHODS Retrospective analysis was conducted on 434 inpatients with depressive disorders at the First Hospital of Hebei Medical University, who were treated with duloxetine and underwent blood concentration monitoring between January 2022 and April 2024. The study examined the impact of various factors, including gender, age, body mass index (BMI), gene phenotypes, combined medication, drug type (original/generic), and genotyping results of gene single nucleotide polymorphism loci, on blood concentration and the concentration-to-dose (C/D) after dose adjustment. RESULTS The blood concentration of duloxetine was 76.65 (45.57, 130.31) ng/mL, and C/D was 0.96 (0.63, 1.60) ng·d/(mL·mg). The blood concentration of duloxetine was positively correlated with the daily dose of administration (R2=0.253 7, P<0.001). Blood concentration of duloxetine in 38.94% of patients exceeded the recommended range specified in the guidelines. Gender, age, BMI, combined use of CYP2D6 enzyme inhibitors, and CYP2D6 and CYP1A2 phenotypes had significant effects on C/D of duloxetine (P<0.05). CONCLUSIONS The patient’s age, gender, BMI, combined medication, and genetic phenotypes are closely related to the blood concentration of duloxetine.
9.Pharmacodynamic Substances and Mechanisms of Da Chengqitang in Treating Stroke: A Review
Yizhi YAN ; Xinyi LIU ; Yang DUAN ; Miaoqing LONG ; Chaoya LI ; Qiang LI ; Yi'an CHEN ; Shasha YANG ; Yue ZHANG ; Peng ZENG
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(9):297-306
Stroke is the main cause of death and disability among adults in China and is characterized by high incidence, disability, mortality, and recurrence rates. The combination of traditional Chinese and Western medicine has great potential in treating stroke and its sequelae. The classic traditional Chinese medicine prescription Da Chengqitang (DCQT) has a long history and proven efficacy in treating stroke. Clinically, DCQT is often used to treat stroke and its sequelae. However, the number and quality of clinical trials of DCQT in treating stroke need to be improved. Because of the insufficient basic research, the active ingredients and multi-target mechanism of action of DCQT remain unclear. Our research group has previously confirmed that DCQT can effectively reverse neurological damage, reduce iron deposition, and downregulate the levels of pro-inflammatory cytokines in the rat model of hemorrhagic stroke. The treatment mechanism is related to the nuclear factor erythroid 2-related factor 2 (Nrf2)-mediated signaling pathway and p38 mitogen-activated protein kinase (MAPK) signaling-mediated microglia activation. To clarify the pharmacodynamic basis and anti-stroke mechanism of DCQT, this article reviews the research progress in the treatment of stroke with DCQT in terms of clinical trials, pharmacodynamic material basis, safety evaluation, and mechanisms of absorbed components. This article summarizes 45 major phytochemical components of DCQT, 11 of which are currently confirmed absorbed components. Among them, emodin, rhein, chrysophanol, aloe-emodin, synephrine, hesperidin, naringin, magnolol, and honokiol can be used as quality markers (Q-markers) of DCQT. The mechanism of DCQT in treating stroke is complex, involving regulation of inflammatory responses, neuronal damage, oxidative stress, blood-brain barrier, brain-derived neurotrophic factor, and anti-platelet aggregation. This article helps to deeply understand the pharmacodynamic basis and mechanism of DCQT in treating stroke and provides a theoretical basis for the clinical application of DCQT in treating stroke and the development of stroke drugs.
10.Trends in global burden due to visceral leishmaniasis from 1990 to 2021 and projections up to 2035
Guobing YANG ; Aiwei HE ; Yongjun LI ; Shan LÜ ; Muxin CHEN ; Liguang TIAN ; Qin LIU ; Lei DUAN ; Yan LU ; Jian YANG ; Shizhu LI ; Xiaonong ZHOU ; Jichun WANG ; Shunxian ZHANG
Chinese Journal of Schistosomiasis Control 2025;37(1):35-43
Objective To investigate the global burden of visceral leishmaniasis (VL) from 1990 to 2021 and predict the trends in the burden of VL from 2022 to 2035, so as to provide insights into global VL prevention and control. Methods The global age-standardized incidence, prevalence, mortality and disability-adjusted life years (DALYs) rates of VL and their 95% uncertainty intervals (UI) were captured from the Global Burden of Disease Study 2021 (GBD 2021) data resources. The trends in the global burden of VL were evaluated with average annual percent change (AAPC) and 95% confidence interval (CI) from 1990 to 2021, and gender-, age-, country-, geographical area- and socio-demographic index (SDI)-stratified burdens of VL were analyzed. The trends in the global burden of VL were projected with a Bayesian age-period-cohort (BAPC) model from 2022 to 2035, and the associations of age-standardized incidence, prevalence, mortality, and DALYs rates of VL with SDI levels were examined with a smoothing spline model. Results The global age-standardized incidence [AAPC = -0.25%, 95% CI: (-0.25%, -0.24%)], prevalence [AAPC = -0.06%, 95% CI: (-0.06%, -0.06%)], mortality [AAPC = -0.25%, 95% CI: (-0.25%, -0.24%)] and DALYs rates of VL [AAPC = -2.38%, 95% CI: (-2.44%, -2.33%)] all appeared a tendency towards a decline from 1990 to 2021, and the highest age-standardized incidence [2.55/105, 95% UI: (1.49/105, 4.07/105)], prevalence [0.64/105, 95% UI: (0.37/105, 1.02/105)], mortality [0.51/105, 95% UI: (0, 1.80/105)] and DALYs rates of VL [33.81/105, 95% UI: (0.06/105, 124.09/105)] were seen in tropical Latin America in 2021. The global age-standardized incidence and prevalence of VL were both higher among men [0.57/105, 95% UI: (0.45/105, 0.72/105); 0.14/105, 95% UI: (0.11/105, 0.18/105)] than among women [0.27/105, 95% UI: (0.21/105, 0.33/105); 0.06/105, 95% UI: (0.05/105, 0.08/105)], and the highest mortality of VL was found among children under 5 years of age [0.24/105, 95% UI: (0.08/105, 0.66/105)]. The age-standardized incidence (r = -0.483, P < 0.001), prevalence (r = -0.483, P < 0.001), mortality (r = -0.511, P < 0.001) and DALYs rates of VL (r = -0.514, P < 0.001) correlated negatively with SDI levels from 1990 to 2021. In addition, the global burden of VL was projected with the BAPC model to appear a tendency towards a decline from 2022 to 2035, and the age-standardized incidence, prevalence, mortality and DALYs rates were projected to be reduced to 0.11/105, 0.03/105, 0.02/105 and 1.44/105 in 2035, respectively. Conclusions Although the global burden of VL appeared an overall tendency towards a decline from 1990 to 2021, the burden of VL showed a tendency towards a rise in Central Asia and western sub-Saharan African areas. The age-standardized incidence and prevalence rates of VL were relatively higher among men, and the age-standardized mortality of VL was relatively higher among children under 5 years of age. The global burden of VL was projected to continue to decline from 2022 to 2035.

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