1.Effects of Guilu Erxian Glue on gut microbiota in rats with knee osteoarthritis:machine learning and 16S rDNA analysis
Fucheng GU ; Meixin YANG ; Weixin WU ; Weijun CAI ; Yangyi QIN ; Mingyi SUN ; Jian SUN ; Qiudong GENG ; Nan LI
Chinese Journal of Tissue Engineering Research 2026;30(4):1058-1072
BACKGROUND:The Guilu Erxian Glue consists of Testudinis Plastrum,Cornu Cervi,Lycii Fructus,and Ginseng Radix.In earlier clinical observations,it is discovered that using Guilu Erxian Glue to treat patients with liver-kidney deficiency type knee osteoarthritis effectively alleviated knee pain,increased the range of motion,and improved walking ability.However,the exact mechanism by which oral administration of Guilu Erxian Glue can produce local therapeutic effects on the knee joint is still unclear.OBJECTIVE:To investigate the effects of Guilu Erxian Glue on gut microbiota in rats with knee osteoarthritis and to evaluate its mechanism using 16S rDNA sequencing and machine learning analysis.METHODS:Totally 18 female SD rats were randomly divided into three groups:blank group,model group,and Guilu Erxian Glue group,with 6 rats in each group.A knee osteoarthritis model was prepared using the destabilization of the medial meniscus surgical method.After successful modeling,the Guilu Erxian Glue group was given a decoction of Guilu Erxian Glue by gavage,while the blank and model groups were given an equal amount of distilled water.After 28 days of continuous intervention,high performance liquid chromatography was used to detect the active ingredients of Guilu Erxian Glue.MRI imaging was used to observe the condition of rat knee articular cartilage.Fecal samples were collected;DNA was extracted using a kit,amplified and purified by PCR,and an Illumina sequencing library was constructed.The Illumina MiSeq platform was used for high-throughput sequencing to generate raw sequence data.After obtaining the raw data,QIIME2 software was used to process the data.Linear Discriminant Analysis Effect Size analysis and random forest algorithm were used to screen for differential species in microbial data.KEGG and MetaCyc functional pathway analyses were used to explore the association between key microbial communities and experimental groups.Linear discriminant analysis effect values and random forest algorithm were used to screen for differential species.Association networks were used to analyze the interactions between microbial communities,and machine learning methods were used to analyze the composition and changes of gut microbiota.RESULTS AND CONCLUSION:(1)LC-MS component identification was conducted on the traditional Chinese medicine formula of Guilu Erxian Glue,and a total of 7 effective ingredients were identified.(2)MRI imaging showed that synovitis scope of high-density shadows in rats of the Guilu Erxian Glue group was reduced,and the degeneration of medial femoral condyle cartilage was less than that in the model group.(3)16S rDNA sequencing showed that the model group rats exhibited significant microbial imbalance,with a significant decrease in the abundance of Firmicutes and Bacteroidetes at the phylum level,while the proportion of Proteobacteria increased significantly(P<0.05).The gut microbiota structure of rats in the Guilu Erxian Glue group was significantly improved,and the proportion of Firmicutes and Bacteroidetes increased,restoring a more diverse microbiota composition,approaching that of the blank group(P<0.05).(4)KEGG and MetaCyc functional pathway analysis showed that the Guilu Erxian Glue group significantly activated multiple metabolic pathways,including amino acid metabolism,lipid metabolism,and biotin synthesis pathways(P<0.05).(5)The results indicate that Guilu Erxian Glue contains seven active ingredients,and the changes in gut microbiota of knee osteoarthritis rats were analyzed using 16S rDNA sequencing.Guilu Erxian Glue can significantly improve the imbalance of gut microbiota,restore the abundance of beneficial bacteria,and have a significant impact on the composition of gut microbiota,providing scientific basis for the efficacy and mechanism of Guilu Erxian Glue.
2.Establishment and validation of a model for femoral head necrosis after internal fixation of femoral neck fracture using logistic regression and SHAP analysis
Long LIAO ; Zepeng ZHAO ; Zongyuan LI ; Qinglong YU ; Tao ZHANG ; Jinyuan TANG ; Nan YE ; Han XU ; Bo SHI
Chinese Journal of Tissue Engineering Research 2026;30(3):626-633
BACKGROUND:The most common complication of traumatic femoral neck fractures after internal fixation is femoral head necrosis.Currently,many studies have reported on the risk factors that affect the occurrence and development of postoperative femoral head necrosis,but there is still a lack of tools to predict the risk of femoral head necrosis after internal fixation of femoral neck fractures.OBJECTIVE:To develop a predictive model that estimates the risk of femoral head necrosis shortly after patients with femoral neck fractures receive cannulated screw internal fixation.METHODS:A retrospective analysis reviewed clinical records of 172 patients who underwent cannulated screw internal fixation for femoral neck fractures at Department of Orthopedics of Mianyang Central Hospital from January 2013 to June 2023.Patients were categorized into two groups based on the presence or absence of femoral head necrosis within one year post-operation:the necrosis group and the non-necrosis group.Univariate analysis,Lasso regression,and multivariate Logistic regression techniques were employed to identify the determinants of femoral head necrosis.A nomogram prediction model was constructed using R language's"rms"package,version 4.0.The receiver operating characteristic curve was used to evaluate the discriminatory ability of the model.The Hosmer-Lemeshow test was used to evaluate the goodness of fit of the model,and the decision curve analysis was used to determine its clinical application benefits.Internal validation of the study was conducted using the Bootstrap method,involving 1 000 repeated samplings.To delve deeper into the primary factors influencing femoral head necrosis post-internal fixation of the femoral neck,this paper employed the SHAP method for data set analysis.RESULTS AND CONCLUSION:(1)The risk factors leading to femoral head necrosis in the short term after cannulated screw fixation of femoral neck fractures include:smoking,diabetes,Garden classification,fracture line location,reduction quality,age,and operation time.(2)The prediction model demonstrated robust performance,evidenced by an area under the curve of 0.940(95%Confidence Interval:0.903 to 0.977),indicating a high level of prediction accuracy.The model achieved a sensitivity of 90.2%and a specificity of 87.6%,indicating that its diagnostic performance was stable.The Hosmer-Lemeshow goodness-of-fit test yielded a chi-square value of 6.593 with a P-value of 0.581,confirming that the model's predictions closely align with the observed outcomes.(3)The calibration curve of the model also performed well,and its overall trend was very close to the ideal curve,further proving the high accuracy of the model.(4)The internal validation was carried out by the Bootstrap method with 1 000 repeated samplings,and the area under the curve of the model internal validation was still as high as 0.939,proving that the model had good stability.(5)Through the decision curve,it is found that within the probability threshold range of 1%to 92%,the model can obtain the maximum net benefit value.(6)The SHAP analysis results show that among the risk factors analyzed in this study,the location of the fracture line serves as the most significant predictor of femoral head necrosis following internal fixation with cannulated screws in femoral neck fractures,and subcapital fractures are extremely prone to femoral head necrosis after surgery.(7)It is concluded that the validated prediction model demonstrates strong discriminative power and reliability,offering practical clinical utility.It serves as a useful reference tool for short-term risk assessment of femoral head necrosis following internal fixation of femoral neck fractures.
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.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.
8.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.
9.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.
10.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.

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