1.Application Analysis of Rehmanniae Radix in Medical Cases of Qing Court
Yan JIN ; Tiegui NAN ; Yihan WANG ; Zhilai ZHAN
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(3):232-238
To gain an in-depth understanding of the clinical application of Rehmanniae Radix during the Qing Dynasty and to clarify its specifications and corresponding therapeutic effects, this study took Rehmanniae Radix in the prescriptions documented in Research on Medical Cases of the Qing Imperial Court as the research subject. According to historical medical literature, a comprehensive investigation was conducted on the specifications, therapeutic efficacy, frequency of use, dosage, and seasonal patterns of Rehmanniae Radix employed by imperial physicians. The findings revealed that Rehmanniae Radix in the medical cases of the Qing court was primarily classified into three categories: Xiaoshengdi, Zhongshengdi, and Dashengdi. Xiaoshengdi was also referred to as Xishengdi or Cishengdi, all denoting dried Rehmanniae Radix. The term Xishengdi was inconsistently defined in the literature. It should refer to the slender variant of dried Rehmanniae Radix and was utilized as a specific specification in the medical cases of the Qing court. In contrast, the wild fresh roots of Rehmanniae Radix, described as "as slender as fingers", were commonly documented as fresh Rehmanniae Radix in these medical cases. There were variations in Rehmanniae Radix size and grading between historical and contemporary standards. Furthermore, therapeutic differences were observed among Rehmanniae Radix specifications in the medical cases of the Qing court. Xiaoshengdi and Zhongshengdi exhibited slightly stronger blood-cooling and heat-clearing effects while maintaining a non-cloying Yin-nourishing property. In contrast, Dashengdi demonstrated a greater emphasis on Yin supplementation with relatively milder heat-clearing activity. In the medical cases of the Qing court, the dosage of Rehmanniae Radix in different specifications was usually 11.2-18.7 g per dose, typically administered twice daily. Rehmanniae Radix in different specifications exhibits variations in efficacy, which can provide evidence-based insights for precise clinical application.
2.Application Analysis of Rehmanniae Radix in Medical Cases of Qing Court
Yan JIN ; Tiegui NAN ; Yihan WANG ; Zhilai ZHAN
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(3):232-238
To gain an in-depth understanding of the clinical application of Rehmanniae Radix during the Qing Dynasty and to clarify its specifications and corresponding therapeutic effects, this study took Rehmanniae Radix in the prescriptions documented in Research on Medical Cases of the Qing Imperial Court as the research subject. According to historical medical literature, a comprehensive investigation was conducted on the specifications, therapeutic efficacy, frequency of use, dosage, and seasonal patterns of Rehmanniae Radix employed by imperial physicians. The findings revealed that Rehmanniae Radix in the medical cases of the Qing court was primarily classified into three categories: Xiaoshengdi, Zhongshengdi, and Dashengdi. Xiaoshengdi was also referred to as Xishengdi or Cishengdi, all denoting dried Rehmanniae Radix. The term Xishengdi was inconsistently defined in the literature. It should refer to the slender variant of dried Rehmanniae Radix and was utilized as a specific specification in the medical cases of the Qing court. In contrast, the wild fresh roots of Rehmanniae Radix, described as "as slender as fingers", were commonly documented as fresh Rehmanniae Radix in these medical cases. There were variations in Rehmanniae Radix size and grading between historical and contemporary standards. Furthermore, therapeutic differences were observed among Rehmanniae Radix specifications in the medical cases of the Qing court. Xiaoshengdi and Zhongshengdi exhibited slightly stronger blood-cooling and heat-clearing effects while maintaining a non-cloying Yin-nourishing property. In contrast, Dashengdi demonstrated a greater emphasis on Yin supplementation with relatively milder heat-clearing activity. In the medical cases of the Qing court, the dosage of Rehmanniae Radix in different specifications was usually 11.2-18.7 g per dose, typically administered twice daily. Rehmanniae Radix in different specifications exhibits variations in efficacy, which can provide evidence-based insights for precise clinical application.
3.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.
4.Mechanism Exploration of Doxorubicin and Sepsis Induced Myocardial Injury: Differences and Convergences
Tao ZHANG ; Zihan NAN ; Lixia LIU ; Jiaqi LIU ; Xiukai CHEN ; Xiaoting WANG ; Suwen SU
Medical Journal of Peking Union Medical College Hospital 2026;17(1):23-32
Doxorubicin (DOX)-induced cardiotoxicity and sepsis-induced myocardial injury (SIMI) represent significant clinical challenges in patients undergoing chemotherapy, sharing a common pathological basis of oxidative stress and mitochondrial dysfunction. Ferroptosis, an iron-dependent form of regulated cell death driven by lipid peroxidation, has recently been shown to play a critical role in DOX-induced cardiotoxicity and lipopolysaccharide (LPS)-induced SIMI. This article systematically reviews the mechanisms underlying myocardial injury caused by DOX and sepsis, identifying ferroptosis as a central common pathway. DOX triggers a burst of reactive oxygen species within mitochondria and inhibits glutathione peroxidase 4 (GPX4) activity through redox cycling of its quinone group and high-affinity accumulation in mitochondrial cardiolipin. LPS, by activating pattern recognition receptors and related inflammatory signaling pathways, provokes a cytokine storm and mitochondrial dysfunction. Both can disrupt the core regulatory axis of cysteine-glutathione (GSH)-GPX4, synergistically promoting ferroptosis in cardiomyocytes. Moreover, epigenetic regulation plays a key role in DOX- and LPS-induced cardiomyocyte ferroptosis and may serve as a promising therapeutic target. A deeper understanding of the ferroptosis mechanism and its epigenetic regulatory network in the synergistic injury induced by DOX and sepsis is of great importance for developing novel strategies to mitigate chemotherapy-related cardiotoxicity and improve outcomes in cancer patients with concurrent infections.
5.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.
6.Phenotypic distribution and population genetic frequency analysis of ABO and Rh blood group antigens among voluntary blood donors in Yantai
Hewei SONG ; Xiaojun ZHANG ; Qun XU ; Xiangzhong LIU ; Nan GUO ; Di SUN
Chinese Journal of Blood Transfusion 2026;39(1):69-75
Objective: To investigate the distribution characteristics of ABO and Rh blood group antigen phenotypes among blood donors in the Yantai, Shandong. Methods: Blood samples from 310 180 voluntary blood donors in Yantai collected from January 2019 to December 2023 were tested for ABO and Rh blood group antigens using standard serological methods. RhD-negative samples were further typed for C, c, E, and e antigens. Population genetic analysis of blood groups was performed: allele frequencies were inferred from ABO phenotypes, and Rh allele/haplotype frequencies were estimated based on the proportion of RhD-negative donors and CcEe antigen typing, followed by Hardy-Weinberg equilibrium testing. Results: The phenotypic distribution frequency of ABO blood groups was B(32.72%)>O(28.93%)>A(27.65%)>AB(10.70%). The inferred allele frequencies were r(53.74%)>q(24.78%)>p(21.48%), consistent with Hardy-Weinberg equilibrium (P>0.05). A total of 1 872 Rh-negative donors (0.603%) were identified. The most common Rh phenotypes were ccdee (59.56%) and Ccdee (30.18%). The distribution of Rh antigen phenotypes deviated significantly from Hardy-Weinberg equilibrium (χ
=37.15, P<0.001), with the cde haplotype showing the highest frequency. There was no statistically significant difference in ABO blood group distribution between RhD-positive and RhD-negative donors (P>0.05). Conclusion: The ABO blood group distribution among voluntary blood donors in Yantai is generally stable and consistent with population genetic equilibrium, whereas the Rh antigen phenotype distribution deviates from equilibrium, indicating potential underlying genetic structural differences.
7.Effects of oral non-peptidic thrombopoietin receptor agonists on hepatic enzyme in adult patients with immune thrombocytopenia:a meta-analysis
Tiantian LU ; Nan SHEN ; Suyue ZHU ; Jingjing YAN
China Pharmacy 2026;37(4):510-515
OBJECTIVE To systematically evaluate the effects of oral non-peptidic thrombopoietin receptor agonists (TPO-RAs) on hepatic enzyme in adult patients with immune thrombocytopenia. METHODS A comprehensive literature search was conducted in PubMed, Web of Science, CNKI, Wanfang database and the Chinese Medical Association Journal Full-Text Database to collect randomized controlled trials (RCTs) comparing oral non-peptidic TPO-RAs (intervention group) with placebo or conventional therapy (control group). All databases were searched from their inception to June 2025. After literature screening, data extraction and quality assessment of the included studies, meta-analysis was conducted using RevMan 5.4.1 software. RESULTS Twelve RCTs comprising 1 388 patients were included, with 971 in the intervention group and 417 in the control group. Meta-analysis results showed that there were no significant differences between the two groups in terms of the incidence of hepatic enzyme elevation[OR=1.24, 95%CI (0.77, 1.99), P =0.37 ] , the incidence of hepatic enzyme elevation in patients treated for ≥6 weeks[OR=1.21, 95%CI (0.73, 1.99), P =0.46 ] , and the incidence of severe hepatic enzyme elevation[OR=1.39, 95%CI(0.46, 4.20), P =0.55 ] . Subgroup analysis showed that there were no significant differences in the incidence of hepatic enzyme elevation between the intervention group and control group among patients using eltrombopag[OR=1.57,95%CI(0.85,2.87), P =0.15 ] , avatrombopag[OR=0.88,95%CI (0.09,8.46), P =0.91 ] , and hetrombopag[OR=1.04,95%CI(0.30,3.65), P =0.95 ] , respectively. CONCLUSIONS Oral non-peptidic TPO-RAs do not significantly increase the risk of hepatic enzyme elevation in adult patients with immune thrombocytopenia, and show an overall favorable hepatic safety profile.
8.Mechanisms of Tianma Goutengyin in Alleviating Neuronal Injury in Vascular Dementia Model Rats by Inhibiting A1 Astrocyte Activation via Regulating TNF-α/STAT3/α1ACT Signaling Pathway
Xiaoyan WANG ; Min ZHAO ; Feng TIAN ; Min XIAO ; Nan QU ; Fugui LIU ; Chixiao LIU
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(7):56-65
ObjectiveTo investigate the effects of Tianma Goutengyin on the tumor necrosis factor-α (TNF-α)/signal transducer and activator of transcription 3 (STAT3)/α1-antichymotrypsin C-terminal tail fragment (α1ACT) signaling pathway and A1-type astrocytes in a rat model of vascular dementia. MethodsSeventy-two male Sprague-Dawley rats were randomly divided into six groups (n=12 per group): Sham-operated group, model group, Tianma Goutengyin high-, medium-, and low-dose groups (5.13, 10.26, and 20.52 g·kg-1), and a nimodipine group (8.1 mg·kg-1). The vascular dementia model was established by permanent bilateral common carotid artery occlusion, followed by 4 weeks of intervention. Learning and memory ability were evaluated using the novel object recognition test, and behavioral performance was assessed using the forced swimming test. Levels of interleukin-6 (IL-6) and C-C motif chemokine ligand 2 (CCL2) in hippocampal tissue were measured by enzyme-linked immunosorbent assay (ELISA). Hippocampal neuronal morphology was observed by Nissl staining, and apoptosis was detected by terminal deoxynucleotidyl transferase-mediated dUTP nick-end labeling (TUNEL). Immunohistochemistry was used to detect positive expression of brain-derived neurotrophic factor (BDNF), glial fibrillary acidic protein (GFAP), and myelin basic protein (MBP). Western blot analysis was performed to measure the protein expression levels of TNF-α, TNF receptor 1 (TNFR1), phosphorylated STAT3 (p-STAT3), α1ACT, IL-6, complement component 3 (C3), BDNF, S100 calcium-binding protein A10 (S100A10), and GFAP in hippocampal tissue. ResultsCompared with the sham-operated group, the model group showed a significantly reduced relative recognition index in the novel object recognition test (P<0.01), prolonged immobility time and increased immobility frequency in the forced swimming test (P<0.01). Hippocampal IL-6 and CCL2 levels were significantly increased (P<0.01). Nissl staining revealed a marked reduction in neuronal number and loss of Nissl bodies (P<0.01). MBP-positive expression was significantly decreased (P<0.01), apoptosis was significantly increased (P<0.01), BDNF-positive expression was significantly reduced (P<0.05), and GFAP-positive expression was significantly increased (P<0.01). In addition, the protein expression levels of TNF-α, TNFR1, p-STAT3, α1ACT, IL-6, and C3 were significantly elevated (P<0.01), while BDNF and S100A10 expression levels were significantly decreased (P<0.01). Compared with the model group, all Tianma Gouteng yin dose groups exhibited a significant increase in the relative recognition index (P<0.05), shortened immobility time and reduced immobility frequency (P<0.05, P<0.01). IL-6 and CCL2 levels were significantly decreased (P<0.01), neuronal number was significantly increased (P<0.05, P<0.01), and MBP-positive expression was significantly enhanced (P<0.01). Apoptosis was significantly reduced (P<0.01), BDNF-positive expression was significantly increased (P<0.05), and GFAP-positive expression was significantly decreased (P<0.01). Moreover, the protein expression levels of TNF-α, TNFR1, p-STAT3, α1ACT, IL-6, and C3 were significantly decreased (P<0.01), while BDNF and S100A10 protein expression levels were significantly increased (P<0.01). ConclusionTianma Goutengyin may inhibit A1-type astrocyte activation in rats with vascular dementia through the TNF-α/STAT3/α1ACT signaling pathway, thereby reducing neuronal apoptosis and improving learning and memory function.
9.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.
10.Correlation Analysis of Huanglian Jiedu Wan on Syndrome Improvement and Clinical Biomarkers of "Excess Heat-Toxicity" Based on Machine Learning Model
Qi LI ; Keke LUO ; Baolin BIAN ; Hongyu YU ; Mengxiao WANG ; Mengyao TIAN ; Wen XIA ; Yuan MA ; Xinfang ZHANG ; Pengyue LI ; Nan SI ; Hongjie WANG ; Yanyan ZHOU
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(8):162-173
ObjectiveThis paper aims to find the identified and validated clinical biomarker data building upon a clinical study of early-phase phase Ⅱ and investigate the correlation analysis of Huanglian Jiedu Wan on syndrome improvement and clinical biomarkers in the treatment of "excess heat-toxicity" based on a machine learning model. Additionally, the effective prediction of clinical biomarker values for the main symptoms of the "excess heat-toxicity" syndrome was assessed. MethodsA total of 229 patients meeting the inclusion criteria for "excess heat-toxicity" syndrome were randomly divided into the Huanglian Jiedu Wan group and the placebo group. Syndrome score transition matrices were constructed for the Huanglian Jiedu Wan group and the placebo group based on three main symptoms of "excess heat-toxicity" syndrome, such as oral ulcers, sore throat, and gum swelling and pain. Data from the patients with these three syndromes were also integrated for an overall analysis. The corresponding syndrome score transition matrices were further constructed to visualize symptom change trends of the patients in the two groups via heatmaps. Based on the identified and validated clinical biomarkers related to inflammation, oxidative stress, and energy metabolism in the early phase, Spearman correlation analysis was employed to analyze and evaluate the associations between clinical biomarkers and syndrome improvement. Key clinical biomarkers reflecting the effect of Huanglian Jiedu Wan were screened through the comparison of differences between groups. An extreme gradient boosting (XGBoost) algorithm was used to develop a prediction model for main symptom classification, with classification performance evaluated through 10-fold cross-validation. Feature importance analysis was applied to identify variables with the greatest contribution to the prediction result. ResultsThe syndrome transition matrix results indicated that the Huanglian Jiedu Wan group showed a superior effect to the placebo group in improving oral ulcers, sore throat, and overall symptoms, with significant effects observed especially in sore throat and overall symptom analyses (P<0.01). Spearman correlation analysis revealed that several clinical biomarkers positively correlated with "excess heat-toxicity" syndrome and its main symptom improvement, were also called "heat-related biomarkers", including succinic acid, α-ketoglutaric acid, glycine, lactic acid, adenosine monophosphate (AMP), tumor necrosis factor-α (TNF-α), interferon-γ (IFN-γ), interleukin-1β (IL-1β), interleukin-4 (IL-4), interleukin-6 (IL-6), interleukin-8 (IL-8), interleukin-10 (IL-10), and so on. Conversely, clinical biomarkers negatively correlated with symptom severity, were also called "heat-clearing related biomarkers" after administration of Huanglian Jiedu Wan, including malic acid, fumaric acid, cis-aconitic acid, adrenocorticotropic hormone (ACTH), IL-1β, IL-4, IL-8, succinic acid, and citric acid. The XGBoost classification model using all 52 biomarkers as variables achieved an average test accuracy of 0.754 and an average F1 score of 0.777. Feature importance analysis identified the scores of glutamic acid in saliva and IL-6 were the highest in all the variables, with importance scores of 0.081 and 0.080, respectively. After screening out 14 key variables and optimizing the parameters, model performance improved to an average accuracy of 0.758 and an F1 score of 0.798. Feature importance analysis further determined that the glutamic acid in saliva and IL-6 showed obvious changes after screening the variables, confirming the good syndrome prediction ability of the model constructed by these key clinical biomarkers. ConclusionThis study systematically elucidates the correlation between syndrome improvement and clinical biomarkers of Huanglian Jiedu Wan in the treatment of "excess heat-toxicity" syndrome. An XGBoost classification model based on key clinical biomarkers is successfully established, achieving effective prediction of the symptoms related to the "excess heat-toxicity" syndrome such as oral ulcers and sore throat and providing a new insight for objective identification of traditional Chinese medicine syndromes.

Result Analysis
Print
Save
E-mail