1.From Gene Expression to Transcriptome-wide Association Study: Development and Comparison of Methodology
Kun FANG ; Guozhuang LI ; Linting WANG ; Qing LI ; Kexin XU ; Lina ZHAO ; Zhihong WU ; Jianguo ZHANG ; Nan WU
Medical Journal of Peking Union Medical College Hospital 2026;17(1):223-229
Over the past two decades, genome-wide association study(GWAS) has identified numerous genetic variants and loci associated with heritable diseases. With the gradual maturation and saturation of GWAS methodologies, transcriptome-wide association study(TWAS) offers a novel perspective by linkinggenetic phenotypes to gene expression levels. By integrating TWAS with other multi-omics analyses, researchers can gain a deeper understanding of heritable diseases. This article provides an overview of recent groundbreaking and representative TWAS methods and tools, analyzes their strengths and limitations, and discusses future trends in TWAS development.
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.LINC00657 Promotes Malignant Progression of Cervical Cancer by Sponging miR-30a-5p to Regulate Skp2 Expression
Changhui ZHOU ; Jingqin REN ; Zhen CHEN ; Qi YAN ; Nan YANG ; Jiaqi ZHAO ; Rong LI
Cancer Research on Prevention and Treatment 2026;53(2):103-111
Objective To investigate the role and regulatory mechanism of LINC00657 in the progression of cervical cancer. Methods Bioinformatics analysis predicted potential binding sites between LINC00657 and miR-30a-5p and between miR-30a-5p and Skp2. These sites were verified by using RNA immunoprecipitation and dual-luciferase reporter experiments. LINC00657, miR-30a-5p, and Skp2 mRNA expression levels in cervical cancer tissues and cell lines were assessed by utilizing RT-qPCR. Western blot analysis was employed to examine the protein levels of Skp2 in cells and subcutaneous xenograft tumor models in nude mice. Immunohistochemistry was applied to analyze Skp2 expression in animal tissues. The cellular processes of cervical cancer cell lines were evaluated through CCK-8, scratch, and Transwell assays. Results LINC00657 and Skp2 presented binding sites for miR-30a-5p. In cervical cancer, LINC00657 and Skp2 showed high expression levels (P<0.05), whereas miR-30a-5p displayed low expression (P<0.05). Functional experiments demonstrated that linc00657 upregulates Skp2 expression, a process that is dependent on its sequestration of miR-30a-5p. Conclusion LINC00657 promoted the malignant progression of cervical cancer by upregulating Skp2 expression through specifically sequestering miR-30a-5p, thereby relieving its inhibitory effect on the target gene Skp2.
4.Clinical Characteristics and Influencing Factors of Rheumatoid Arthritis in Patients with Cold Dampness Obstruction Syndrome
Yanyu CHEN ; Yanqi LI ; Longxiao LIU ; Liubo ZHANG ; Tianyi LAN ; Nan ZHANG ; Cheng XIAO ; Yuan XU ; Qingwen TAO
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(3):140-146
ObjectiveTo study the clinical characteristics and influencing factors of rheumatoid arthritis (RA) in the patients with cold dampness obstruction syndrome. MethodsThe RA patients treated in the Department of Traditional Chinese Medicine and Rheumatology of the China-Japan Friendship Hospital from August 2022 to June 2024 were selected. The demographic information, clinical data, laboratory test results, and traditional Chinese medicine (TCM) symptom information were collected for syndrome differentiation, on the basis of which the characteristics and influencing factors of cold dampness obstruction syndrome were analyzed. ResultsA total of 258 RA patients were selected in this study, including 88 (34.1%) patients with cold dampness obstruction syndrome, 53 (20.5%) patients with dampness and heat obstruction syndrome, 31 (12.0%) patients with wind dampness obstruction syndrome, 29 (11.2%) patients with liver-kidney deficiency syndrome, 19 (7.4%) patients with Qi-blood deficiency syndrome, 14 (5.4%) patients with phlegm-stasis obstruction syndrome, 15 (5.8%) patients with stasis obstructing collateral syndrome and 9 (3.5%) patients with Qi-Yin deficiency syndrome. The patients were assigned into two groups of cold dampness obstruction syndrome and other syndromes. The group of cold dampness obstruction syndrome had lower joint fever, 28-tender joint count (TJC28), and 28-joint disease activity score (DAS28)-C-reactive protein (CRP) and higher central sensitization, cold feeling of joints, fear of wind and cold, cold limbs, and abdominal distention than the group of other syndromes (P<0.05). The binary logistic regression analysis showed that central sensitization (OR 5.749, 95%CI 2.116-15.616, P<0.001) and DAS28-CRP (OR 0.600, 95% CI 0.418-0.862, P=0.006) were the independent factors influencing cold dampness obstruction syndrome in RA. ConclusionCold dampness obstruction syndrome is a common syndrome in RA patients. It is associated with central sensitization, cold feeling of joints, abdominal distension and may be a clinical syndrome associated with central sensitization.
5.Mechanism of Lijin manipulation regulating scar formation in skeletal muscle injury repair in rabbits
Kaiying LI ; Xiaoge WEI ; Fei SONG ; Nan YANG ; Zhenning ZHAO ; Yan WANG ; Jing MU ; Huisheng MA
Chinese Journal of Tissue Engineering Research 2025;29(8):1600-1608
BACKGROUND:Lijin manipulation can promote skeletal muscle repair and treat skeletal muscle injury.However,the formation of fibrosis and scar tissue hyperplasia are closely related to the quality of skeletal muscle repair.To study the regulatory effect of Lijin manipulation on the formation of fibrosis and scar tissue hyperplasia is helpful to explain the related mechanism of Lijin manipulation to improve the repair quality of skeletal muscle injury. OBJECTIVE:To explore the mechanism of Lijin manipulation to improve the repair quality of skeletal muscle injury in rabbits,thereby providing a scientific basis for clinical treatment. METHODS:Forty-five healthy adult Japanese large-ear white rabbits were randomly divided into blank group,model group and Lijin group,with 15 rats in each group.Gastrocnemius strike modeling was performed in both model group and Lijin group.The Lijin group began to intervene with tendon manipulation on the 3rd day after modeling,once a day,and 15 minutes at a time.Five animals in each group were killed on the 7th,14th and 21st days after modeling.The morphology and inflammatory cell count of gastrocnemius were observed by hematoxylin-eosin staining,the collagen fiber amount was observed by Masson staining,the expression of interleukin-6 and interleukin-10 in gastrocnemius was detected by ELISA.The protein and mRNA expressions of paired cassette gene 7,myogenic differentiation factor,myoblastogenin,alpha-actin,transforming growth factor beta 1,and type Ⅰ collagen were detected by western blot and RT-PCR,respectively,and the expression of type Ⅰ collagen protein was detected by immunohistochemistry. RESULTS AND CONCLUSION:Hematoxylin-eosin staining and Masson staining showed that compared with the model group,inflammatory cell infiltration and collagen fiber content decreased in the Lijin group(P<0.01),and the muscle fibers gradually healed.ELISA results showed that compared with the model group,the expression of interleukin-6 in the Lijin group continued to decrease(P<0.05),and the expression of interleukin-10 increased on the 7th day after modeling(P<0.05)and then showed a decreasing trend(P<0.05).Western blot and RT-PCR results showed that compared with the model group,the protein and mRNA expressions of paired cassette gene 7,myogenic differentiation factor,myoblastogenin in the Lijin group were significantly increased on the 14th day after modeling(P<0.05),but decreased on the 21st day(P<0.05);the protein and mRNA expressions of alpha-actin,transforming growth factor beta 1,and type Ⅰ collagen in the Lijin group were significantly decreased compared with those in the model group(P<0.05).Immunohistochemical results showed that the expression of type Ⅰ collagen in the Lijin group was significantly lower than that in the model group(P<0.05).To conclude,Lijin manipulation could improve the repair quality of skeletal muscle injury by inhibiting inflammation,promoting the proliferation and differentiation of muscle satellite cells,and reducing fibrosis.
6.Antibacterial piezoelectric materials:no selective killing of bacteria and no bacterial resistance
Chinese Journal of Tissue Engineering Research 2025;29(10):2105-2112
BACKGROUND:Piezoelectric materials can catalyze the generation of reactive oxygen species,which can destroy bacteria by multiple ways without causing drug resistance.This indiscriminately attack bacteria strategy has obvious advantages over traditional antibiotic therapy,thus providing a novel idea for antibacterial strategies. OBJECTIVE:To summarize the properties and antibacterial mechanisms of piezoelectric materials and discuss the application status of several piezoelectric materials in the field of anti-bacteria. METHODS:The literature search was performed in PubMed,Web of Science,CNKI,and WanFang databases.Chinese search terms were"piezoelectric materials,piezoelectric catalysis,reactive oxygen species,antibacterial,bacterial infection,anti-infection,drug resistance."English search terms were"piezoelectric materials,piezoelectricity,piezoelectric catalysis,piezocatalysis,reactive oxygen species,ROS,bacterial infection,antibacterial strategies,anti-infection,drug resistance,drug-resistant bacteria."Retrieval time was from January 2013 to December 2023.Primary screening was conducted by reading the titles and abstracts.Repetitive studies and irrelevant articles were excluded.Finally,68 articles were included for review after literature quality evaluation. RESULTS AND CONCLUSION:(1)Piezoelectric materials are stable and environment-friendly materials,most of which show good biocompatibility.(2)Piezoelectric materials can catalyze a large amount of reactive oxygen species in the process of piezoelectric effect,combined with extracellular oxidation and intracellular oxidation,reactive oxygen species can destroy the membrane of bacteria,intracellular proteins,enzymes,and nucleic acids,disorder the structure and function,even kill the bacteria.The antibacterial performance is related to the rate of catalytic generation of reactive oxygen species,and the catalytic efficiency is related to many factors such as material system,morphology,and external conditions.(3)Reactive oxygen species producted by piezoelectric catalysis can kill bacteria without selectivity and show spectral antibacterial activity.This strategy does not rely on antibiotics and does not cause drug resistance.(4)Combined with the advantages of non-invasive,controllable,and penetrating ultrasound,piezoelectric materials will have significant value and great potential in the future as adjunctive or alternative treatments for drug-resistant bacterial infections and other fields.(5)The current challenge of low catalytic efficiency of piezoelectric materials limits its application in the field of antibacterial,how to improve the piezoelectric catalytic efficiency has become the focus of scholars'attention.
7.Material basis and action mechanism of drug-containing serum of Modified Erxian Pill inhibiting macrophage pyroptosis
Siyuan LI ; Yuru WANG ; Ye XU ; Di GUO ; Nan NAN ; Yang LIU ; Jie ZHAO ; Huiqin HAO
Chinese Journal of Tissue Engineering Research 2025;29(19):4029-4037
BACKGROUND:Our previous study found that Modified Erxian Pill could alleviate inflammation in collagen-induced arthritis rats,but its mechanism needs to be further verified. OBJECTIVE:To analyze the components absorbed in the blood of Modified Erxian Pill,and observe the effect of the drug-containing serum of Modified Erxian Pill on pyroptosis of J774A.1 macrophages. METHODS:(1)Analysis of components absorbed in the blood of Modified Erxian Pill:Ultra-high performance liquid chromatography-high resolution mass spectrometry was used to detect and identify Modified Erxian Pill and its components absorbed in the blood.(2)Effect of the drug-containing serum of Modified Erxian Pill on pyroptosis of J774A.1 macrophages:Molecular docking technology was used to initially verify the sesquiterpenoids and NLRP3 in components absorbed in the blood of Modified Erxian Pill.J774A.1 macrophages were randomly divided into blank control group,lipopolysaccharide+adenosine triphosphate group,and lipopolysaccharide+adenosine triphosphate+Modified Erxian Pill with low(2.5%),medium(5%),and high(10%)dose groups.The release of lactate dehydrogenase in the cell supernatant of each group was detected according to the kit instructions.The levels of interleukin-1β and interleukin-18 in cell supernatant were detected in each group by ELISA.The cell membrane damage was detected by Hoechst/PI staining.The expression levels of NLRP3,Caspase-1,GSDMD,and GSDMD-N protein in the cells of each group were detected by western blot assay. RESULTS AND CONCLUSION:(1)A total of 32 active components of Modified Erxian Pill were identified,and 21 components entered the blood.The main components into blood included a variety of sesquiterpenoids.(2)Molecular docking results showed that 3-O-Acetyl-13-deoxyphomenone,Incensol oxide,Atractylenolide III,Rupestonic acid,and 3,7-Dihydroxy-9,11-eremophiladien-8-one had good binding activity with NLRP3.(3)Compared with the blank control group,lactate dehydrogenase activity and the expression levels of interleukin-1β and interleukin-18 were significantly increased in cell supernatant of lipopolysaccharide+adenosine triphosphate group(P<0.001).Hoechst/PI staining showed that the number of PI-positive cells was significantly increased.After the intervention of lipopolysaccharide+adenosine triphosphate+Modified Erxian Pill group,all of them showed different degrees of reduction.(4)Compared with the blank control group,NLRP3,Caspase-1,GSDMD,and GSDMD-N protein expression levels were significantly increased in the lipopolysaccharide+adenosine triphosphate group(P<0.05).Compared with lipopolysaccharide+adenosine triphosphate group,the protein expressions of NLRP3,Caspase-1,GSDMD,and GSDMD-N were significantly decreased in the lipopolysaccharide+adenosine triphosphate+Modified Erxian Pill group(P<0.05),and had a certain dose dependence.These findings verify that the drug-containing serum of Modified Erxian Pill may inhibit the pyroptosis of J774A.1 macrophages by regulating the NLRP3/Caspase-1/GSDMD pathway.
8.Programmed Cell Death in Endometriosis and Traditional Chinese Medicine Intervention: A Review
Zuoliang ZHANG ; Wanrun WANG ; Wen LI ; Xue HAN ; Xiaohong CHEN ; Nan SU ; Huiling LIU ; Quansheng WU
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(4):48-57
Endometriosis (EMT) is a common disease with frequent occurrence and difficult to be cured in modern clinical practice of obstetrics and gynaecology. It is characterized by progressively worsening dysmenorrhoea, pelvic mass, and infertility. The incidence of EMT is growing and increasingly younger patients are diagnosed with this disease, which poses a serious threat to the reproductive and psychological health of women of childbearing age and adolescent females. However, the pathogenesis of EMT is still not completely clear, and the disease has a long course. Therefore, developing new therapies is an urgent clinical problem to be solved. Great progress has been achieved in the treatment of EMT with traditional Chinese medicine (TCM), while the underlying mechanism remains in exploration. Programmed cell death (PCD) is a cell death mode mediated by a variety of bio-molecules with specific signaling cascades. The known PCD processes include apoptosis, pyroptosis, autophagy, ferroptosis, and cuproptosis, which all play a pivotal role in the development of EMT. Researchers have made achievements in the treatment of EMT with TCM, which regulates PCD via multiple pathways, routes, targets, and mechanisms. However, the progress in the regulation of PCD in the treatment of EMT with TCM remains to be reviewed. This paper reviews the research progress in the treatment of EMT with TCM from five PCD processes (apoptosis, pyroptosis, autophagy, ferroptosis, and cuproptosis), with the aim of providing a theoretical basis for the clinical prevention and treatment of EMT.
9.Treatment of Parkinson's Disease with Traditional Chinese Medicine by Regulating BDNF/TrkB Signaling Pathway: A Review
Lulu JIA ; Ying LI ; Jiale YIN ; Nan JIA ; Xiaoxi LIU ; Li LING
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(4):315-322
Parkinson's disease(PD) is the second most common neurodegenerative disease in the world, which seriously affects the lives of patients. With the acceleration of aging process, the number of patients continues to rise. Its main pathological features are aggregation of α-synuclein and degenerative death of dopaminergic neurons in the substantia nigra. However, the pathogenesis of PD is still unclear. According to reports, the brain-derived neurotrophic factor(BDNF)/tyrosine kinase receptor B(TrkB) signaling pathway is highly expressed and activated in dopaminergic neurons in the substantia nigra, which is closely related to neurophysiological processes such as neurogenesis, synaptic plasticity, neuroinflammation, and oxidative stress. It plays an important role in the occurrence and development of PD. At present, the treatment methods of Western medicine for PD are mainly based on drugs such as levodopa and dopamine agonists to alleviate motor symptoms, but with the increase of dose, the adverse reactions are significantly enhanced. Traditional Chinese medicine(TCM) has attracted people to explore its therapeutic effects on PD due to its characteristics of homology of medicine and food, economy, minor adverse reactions and multi-target action. Therefore, this paper systematically reviews the role of BNDF/TrkB pathway in the pathogenesis of PD and the mechanism of TCM formulas, extracts and monomers in the treatment of PD by regulating the BNDF/TrkB pathway according to retrieving the latest research reports at home and abroad, so as to provide a reference for the clinical application of related TCM and the development of new drugs for PD.
10.Comprehensive evaluation of benign and malignant pulmonary nodules using combined biological testing and imaging assessment in 1 017 patients: A retrospective cohort study
Lei ZHANG ; Zihao LI ; Nan LI ; Jun CHENG ; Feng ZHANG ; Pinghui XIA ; Wang LÜ ; ; Jian HU
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2025;32(01):60-66
Objective By combining biological detection and imaging evaluation, a clinical prediction model is constructed based on a large cohort to improve the accuracy of distinguishing between benign and malignant pulmonary nodules. Methods A retrospective analysis was conducted on the clinical data of the 32 627 patients with pulmonary nodules who underwent chest CT and testing for 7 types of lung cancer-related serum autoantibodies (7-AABs) at our hospital from January 2020 to April 2024. The univariate and multivariate logistic regression models were performed to screen independent risk factors for benign and malignant pulmonary nodules, based on which a nomogram model was established. The performance of the model was evaluated using receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis (DCA). Results A total of 1 017 patients with pulmonary nodules were included in the study. The training set consisted of 712 patients, including 291 males and 421 females, with a mean age of (58±12) years. The validation set included 305 patients, comprising 129 males and 176 females, with a mean age of (58±13) years. Univariate ROC curve analysis indicated that the combination of CT and 7-AABs testing achieved the highest area under the curve (AUC) value (0.794), surpassing the diagnostic efficacy of CT alone (AUC=0.667) or 7-AABs alone (AUC=0.514). Multivariate logistic regression analysis showed that radiological nodule diameter, nodule nature, and CT combined with 7-AABs detection were independent predictors, which were used to construct a nomogram prediction model. The AUC values for this model were 0.826 and 0.862 in the training and validation sets, respectively, demonstrating excellent performance in DCA. Conclusion The combination of 7-AABs with CT significantly enhances the accuracy of distinguishing between benign and malignant pulmonary nodules. The developed predictive model provides strong support for clinical decision-making and contributes to achieving precise diagnosis and treatment of pulmonary nodules.

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