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.The Impairment Attention Capture by Topological Change in Children With Autism Spectrum Disorder
Hui-Lin XU ; Huan-Jun XI ; Tao DUAN ; Jing LI ; Dan-Dan LI ; Kai WANG ; Chun-Yan ZHU
Progress in Biochemistry and Biophysics 2025;52(1):223-232
ObjectiveAutism spectrum disorder (ASD) is a neurodevelopmental condition characterized by difficulties with communication and social interaction, restricted and repetitive behaviors. Previous studies have indicated that individuals with ASD exhibit early and lifelong attention deficits, which are closely related to the core symptoms of ASD. Basic visual attention processes may provide a critical foundation for their social communication and interaction abilities. Therefore, this study explores the behavior of children with ASD in capturing attention to changes in topological properties. MethodsOur study recruited twenty-seven ASD children diagnosed by professional clinicians according to DSM-5 and twenty-eight typically developing (TD) age-matched controls. In an attention capture task, we recorded the saccadic behaviors of children with ASD and TD in response to topological change (TC) and non-topological change (nTC) stimuli. Saccadic reaction time (SRT), visual search time (VS), and first fixation dwell time (FFDT) were used as indicators of attentional bias. Pearson correlation tests between the clinical assessment scales and attentional bias were conducted. ResultsThis study found that TD children had significantly faster SRT (P<0.05) and VS (P<0.05) for the TC stimuli compared to the nTC stimuli, while the children with ASD did not exhibit significant differences in either measure (P>0.05). Additionally, ASD children demonstrated significantly less attention towards the TC targets (measured by FFDT), in comparison to TD children (P<0.05). Furthermore, ASD children exhibited a significant negative linear correlation between their attentional bias (measured by VS) and their scores on the compulsive subscale (P<0.05). ConclusionThe results suggest that children with ASD have difficulty shifting their attention to objects with topological changes during change detection. This atypical attention may affect the child’s cognitive and behavioral development, thereby impacting their social communication and interaction. In sum, our findings indicate that difficulties in attentional capture by TC may be a key feature of ASD.
4.Drying kinetics of Salviae Miltiorrhizae Radix et Rhizoma and dynamics of active components in drying process.
Yu-Qin LI ; Xiu-Xiu SHA ; Zhe ZHANG ; Shu-Lan SU ; Liang NI ; Sheng GUO ; Hui YAN ; Da-Wei QIAN ; Jin-Ao DUAN
China Journal of Chinese Materia Medica 2025;50(1):128-139
This study explored the drying kinetics of Salviae Miltiorrhizae Radix et Rhizoma(SM), established the suitable models simulating the drying kinetics, and then analyzed the dynamic changes of active components during the drying processes with different methods, aiming to provide a basis for the establishment of suitable drying methods and the quality control of SM. The drying kinetics were studied based on the drying curve, drying rate, moisture effective diffusion coefficient, and drying activation energy, and the appropriate drying kinetics model of SM was established. The drying performance of different methods, such as hot air drying, infrared drying, and microwave drying of SM was evaluated, and the changes in the content of 10 salvianolic acids and 6 tanshinones during drying were analyzed by UPLC-TQ-MS. The Technique for Order Preference by Similarity to an Ideal Solution(TOPSIS) was employed to evaluate the quality of SM dried with different methods. The results showed that the drying rate and moisture effective diffusion coefficient of SM increased with the rise in drying temperature, and the maximum drying rates of different methods were in the order of microwave drying > infrared drying > hot air drying, slice > whole root. The drying rate decreased with the rise in temperature and the extension of drying time. The activation energy of hot air drying was higher than that of infrared drying in SM. The most suitable model for simulating the drying process of SM was the Page model. The TOPSIS results suggested infrared drying at 50 ℃ was the optimal drying method for SM. During the drying process, the content of salvianolic acids increased in different degrees with the loss of moisture, among which salvianolic acid B showed the largest increase of 44 times compared with that in the fresh medicinal material. Tanshinones also existed in the fresh herb of SM, and the content of tanshinone Ⅱ_A increased by 3 times after drying. The results provided a basis for the establishment of suitable drying methods and the quality control of SM.
Salvia miltiorrhiza/chemistry*
;
Desiccation/methods*
;
Drugs, Chinese Herbal/chemistry*
;
Rhizome/chemistry*
;
Kinetics
;
Quality Control
;
Abietanes
5.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
;
Drugs, Chinese Herbal/administration & dosage*
;
Mice
;
Lung/metabolism*
;
Mice, Inbred C57BL
;
Capsules
;
Orthomyxoviridae Infections/virology*
;
Gastrointestinal Microbiome/drug effects*
;
Male
;
Humans
;
Female
;
Influenza A virus/physiology*
;
Influenza, Human/virology*
6.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.
7.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.
8.Analysis of Animal Models of Autoimmune Thyroiditis Based on Clinical Characteristics of Traditional Chinese and Western Medicine
Sifeng JIA ; Zhuo ZHANG ; Yuyu DUAN ; Keqiu YAN ; Xinhe ZUO ; Yang LI ; Yong ZHAO
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(18):235-243
ObjectiveAutoimmune thyroiditis (AIT) is a complex and immune-mediated disorder, with no established treatment protocol. Both Western and traditional Chinese medicine (TCM) focus on the pathogenesis and treatment of AIT. This study evaluated the clinical consistency of existing AIT animal models based on the diagnostic criteria of both Western and TCM, using a novel evaluation method. Additionally, it proposed recommendations and future prospects for improving these models. MethodsA comprehensive literature review was conducted on existing AIT animal models, using databases and the diagnostic criteria of both Western and TCM. Core and accompanying symptoms of these models were scored based on the diagnostic criteria of both Western and TCM, and clinical consistency was assessed. ResultsMice are the primary experimental animals used in AIT modeling. Modeling methods include vaccine immunization, iodine induction, heterologous thyroid antigen immunization, and a combination of high iodine water and antigen immunization. The average consistency of clinical syndromes based on TCM and Western medicine is 40%, 60%, 54%, and 63%, with the highest consistency observed in the combined high iodine water and antigen immunization model. Pathological models based on TCM are less common, with the liver-stagnation-spleen-deficiency rat model showing high clinical consistency. While most models are designed according to Western medical theory, meeting the surface and structural effectiveness criteria of Western medicine. However, there is a lack of fine-tuning and clear differentiation of TCM syndromes. ConclusionCurrent AIT syndrome-disease combination animal models primarily reflect the pathological features of Western medicine, with limited integration of TCM syndromes. Future research should aim to combine the syndrome characteristics of TCM with the pathological features of Western medicine, creating multi-factor and dynamic syndrome-disease models. Such models would better facilitate an experimental platform that conforms to the theories of TCM, providing more comprehensive support and guidance for the pathogenesis and treatment strategies of AIT.
9.Associations between statins and all-cause mortality and cardiovascular events among peritoneal dialysis patients: A multi-center large-scale cohort study.
Shuang GAO ; Lei NAN ; Xinqiu LI ; Shaomei LI ; Huaying PEI ; Jinghong ZHAO ; Ying ZHANG ; Zibo XIONG ; Yumei LIAO ; Ying LI ; Qiongzhen LIN ; Wenbo HU ; Yulin LI ; Liping DUAN ; Zhaoxia ZHENG ; Gang FU ; Shanshan GUO ; Beiru ZHANG ; Rui YU ; Fuyun SUN ; Xiaoying MA ; Li HAO ; Guiling LIU ; Zhanzheng ZHAO ; Jing XIAO ; Yulan SHEN ; Yong ZHANG ; Xuanyi DU ; Tianrong JI ; Yingli YUE ; Shanshan CHEN ; Zhigang MA ; Yingping LI ; Li ZUO ; Huiping ZHAO ; Xianchao ZHANG ; Xuejian WANG ; Yirong LIU ; Xinying GAO ; Xiaoli CHEN ; Hongyi LI ; Shutong DU ; Cui ZHAO ; Zhonggao XU ; Li ZHANG ; Hongyu CHEN ; Li LI ; Lihua WANG ; Yan YAN ; Yingchun MA ; Yuanyuan WEI ; Jingwei ZHOU ; Yan LI ; Caili WANG ; Jie DONG
Chinese Medical Journal 2025;138(21):2856-2858
10.Targeted gene silencing in mouse testicular Sertoli and Leydig cells using adeno-associated virus vectors.
Jing PANG ; Mao-Xing XU ; Xiao-Yu WANG ; Xu FENG ; Yi-Man DUAN ; Xiao-Yan ZHENG ; Yu-Qian CHEN ; Wen YIN ; Ying LIU ; Ju-Xue LI
Asian Journal of Andrology 2025;27(5):627-637
Researchers commonly use cyclization recombination enzyme/locus of X-over P1 (Cre/loxP) technology-based conditional gene knockouts of model mice to investigate the functional roles of genes of interest in Sertoli and Leydig cells within the testis. However, the shortcomings of these genetic tools include high costs, lengthy experimental periods, and limited accessibility for researchers. Therefore, exploring alternative gene silencing techniques is of great practical value. In this study, we employed adeno-associated virus (AAV) as a vector for gene silencing in Sertoli and Leydig cells. Our findings demonstrated that AAV serotypes 1, 8, and 9 exhibited high infection efficiency in both types of testis cells. Importantly, we discovered that all three AAV serotypes exhibited exquisite specificity in targeting Sertoli cells via tubular injection while demonstrating remarkable selectivity in targeting Leydig cells via interstitial injection. We achieved cell-specific knockouts of the steroidogenic acute regulatory ( Star ) and luteinizing hormone/human chorionic gonadotropin receptor (Lhcgr) genes in Leydig cells, but not in Sertoli cells, using AAV9-single guide RNA (sgRNA)-mediated gene editing in Rosa26-LSL-Cas9 mice. Knockdown of androgen receptor ( Ar ) gene expression in Sertoli cells of wild-type mice was achieved via tubular injection of AAV9-short hairpin RNA (shRNA)-mediated targeting. Our findings offer technical approaches for investigating gene function in Sertoli and Leydig cells through AAV9-mediated gene silencing.
Animals
;
Male
;
Leydig Cells/metabolism*
;
Mice
;
Dependovirus/genetics*
;
Sertoli Cells/metabolism*
;
Gene Silencing
;
Genetic Vectors
;
Testis/cytology*

Result Analysis
Print
Save
E-mail