ObjectiveTo evaluate the impact of yang-reinforcing and blood-activating therapy on the long-term prognosis for patients with dilated cardiomyopathy （DCM） of yang deficiency and blood stasis syndrome. MethodsA retrospective cohort study was conducted involving 371 DCM patients with yang deficiency and blood stasis syndrome. The yang-reinforcing and blood-activating therapy was defined as the exposure factor. Patients were categorized into exposure group （186 cases） and non-exposure group （185 cases） according to whether they received yang-reinforcing and blood-activating therapy combined with conventional western medicine for 6 months or longer. The follow-up period was set at 48 months， and the Kaplan-Meier survival analysis was used to assess the cumulative incidence of major adverse cardiovascular events （MACE） in both groups. Cox regression analysis was used to explore the impact of yang-reinforcing and blood-activating therapy on the risk of MACE， and subgroup analysis was performed. Changes in traditional Chinese medicine （TCM） syndrome score， left ventricular ejection fraction （LVEF）， left ventricular fractional shortening （LVFS）， left ventricular end-diastolic diameter （LVEDD）， and Minnesota Living with Heart Failure Questionnaire （MLHFQ） score were compared between groups at the time of first combined use of yang-reinforcing and blood-activating therapy （before treatment） and 1 year after receiving the therapy （after treatment）. ResultsMACE occurred in 31 cases （16.67%） in the exposure group and 47 cases （25.41%） in the non-exposure group. The cumulative incidence of MACE in the exposure group was significantly lower than that in the non-exposure group ［HR=0.559， 95%CI（0.361，0.895）， P=0.014］. Cox regression analysis showed that yang-reinforcing and blood-activating therapy was an independent factor for reducing the risk of MACE in DCM patients ［HR=0.623， 95%CI（0.396，0.980）， P=0.041］， and consistent results were observed in different subgroups. Compared with pre-treatment， the exposure group showed decreased TCM syndrome score and MLHFQ score， reduced LVEDD， and increased LVEF and LVFS after treatment （P＜0.05）； in the non-exposure group， TCM syndrome score decreased， LVEF and LVFS increased， and LVEDD reduced after treatment （P＜0.05）. After treatment， the exposure group had higher LVEF and LVFS， smaller LVEDD， and lower TCM syndrome score and MLHFQ score compared with the non-exposure group （P＜0.05）. ConclusionCombining yang-reinforcing and blood-activating therapy with conventional western medicine can reduce the risk of MACE in DCM patients with yang deficiency and blood stasis syndrome， meanwhile improving their clinical symptoms， cardiac function， and quality of life.

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.

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.

OBJECTIVE: To investigate the clinical characteristics, steroid hormone profiles, and genetic variants in two female patients with Non-classic adrenal hyperplasia (NCAH). METHODS: Clinical data and samples were collected from two patients who had visited Huaian Maternal and Child Health Care Hospital Affiliated to Medical College of Yangzhou University on September 27, 2022 and June 25, 2023, respectively, with an initial diagnosis of Polycystic ovary syndrome (PCOS) and suspected NCAH. Seven steroid hormones in dried blood spots were analyzed using liquid chromatography-tandem mass spectrometry (LC-MS/MS). Single base variants and repeat/deletions in the CYP21A2 gene were analyzed by using a classic congenital adrenal hyperplasia (CAH) gene assay, and 10 related genes were analyzed by third-generation sequencing (TGS) should the variants be unclear. This study has been approved by the Medical Ethics Committee of the hospital (Ethics No.: 2025003). RESULTS: Patient 1 was a 14-year-old girl, and patient 2 was a 23-year-old woman with insulin resistance. Both patients had hirsutism, acne, bilateral polycystic ovarian morphology, in addition with significantly elevated serum testosterone by chemiluminescence. The steroid hormone profiles of both patients suggested a significant increase in 17-hydroxyproesterone, normal cortisol and 11-deoxycortisol. Patient 2 additionally showed a significant rise in 21-deoxycortisol. The presentation of both patients was indicative of NCAH, which was also evidenced by their respective medical histories. Sanger sequencing of long fragment PCR amplification combined with multiplex ligation-dependent probe amplification (MLPA) revealed that patient 1 harbored a mild c.92C>T (p.P31L) variant and a severe variant with a large segmental deletion in CYP21A2. Patient 2 was finally confirmed by TGS to carry mild CYP21A2 variants in the 5' untranslated region (5' UTR) promotor region (c.-126C>T, c.-113G>A, c.-110T>C) and a severe c.293-13C/A>G variant. The promotor region variants had resulted in decompression of the long fragment P1X/P2 amplification, leading to homozygous result of Sanger sequencing for c.293-13C/A>G, which in turn halved the amplification signal for the wt-113 SNP probe. In addition, the wtI2G-A probe was enhanced by interference in the MLPA assay. CONCLUSION This study demonstrated that NCAH should be excluded when PCOS is accompanied by a significant increase in serum testosterone, that mass spectrometry of steroid hormone profiles containing 17-hydroxyprogesterone is useful for the detection of NCAH, and that TGS is advantageous in confirming the diagnosis of NCAH when compared with conventional genetic testing methods.
Humans ; Female ; Adrenal Hyperplasia, Congenital/blood* ; Adolescent ; Steroid 21-Hydroxylase/genetics* ; Young Adult ; Genetic Variation ; Adult

ObjectiveDonkey hide is the sole legally designated raw material for the preparation of the traditional Chinese medicine Ejiao. The quality stability of donkey hide during preservation directly determines the efficacy and safety of Ejiao. This study focuses on the dynamic succession of microbial communities during the preservation of donkey hides from different origins, aiming to clarify the correlation between microbial biodiversity difference and the degradation profiles of hide collagen and critical biochemical components, thereby providing a theoretical foundation for developing targeted preservation strategies based on microbial regulation. MethodsDonkey hides originating from four different regions were subjected to an accelerated microbial aging assay to simulate the spoilage process. The microbial community succession was analyzed using high-throughput sequencing. Microstructure changes and pore structure characteristics were assessed by scanning electron microscopy and mercury intrusion porosimetry, respectively. Additionally, the content of major components, including lipids, proteins, and sugars were determined by biochemical methods. ResultsAfter 96 h of aging, the collagen fiber structure in Africa donkey hides (ADH) exhibited significant degradation and collapse, followed by Xinjiang donkey hides (XDH). Instead, the microstructure of Dong’e black donkey hides (DDH) and Peru donkey hides (PDH) remained relatively intact. The porosities of DDH, XDH, PDH, and ADH increased from 27.9%, 15.7%, 30.3%, and 46.2% to 36.5%, 52.6%, 42.8%, and 57.7%, respectively, during the aging process, which suggested that the originally compact fiber structure was disrupted by microbial aging. Fourier transform infrared spectrometer analysis revealed the amide bands in XDH exhibited relatively weak intensity, and no collagen amide I band was observed in ADH. Meanwhile, the lipid and protein contents decreased in all four types of donkey hides, indicating that these components served as the primary nutrient sources for the growth of microorganism. Notably, the most severe collagen degradation was observed in XDH and ADH. A substantial increase was detected in the total soluble sugar in PDH aging solution and hydroxyproline in the ADH aging solution, respectively. These results indicated that donkey hides exhibit distinct patterns of structural degradation and nutrient utilization. Furthermore, the viable cells number of donkey hides increased sharply after 48 h of aging. Metagenomic analysis revealed that the relative abundance of Euryarchaeota in ADH, PDH and XDH declining from initial 93.19%, 97.73% and 30.08% to 0.79%, 1.43% and 0.02% after 96 h, respectively. Conversely, a significantly increase was observed in the abundance of Bacillota, with a marked increase in ADH, peaking at 92.75%. Additionally, the abundance of Pseudomonadota in PDH increased from 0.10% to 87.84%, suggesting that Bacillota and Pseudomonadota may be key factors exacerbating donkey hide spoilage. Unlike the other three types of donkey hides, the dominant bacterial phylum in DDH shifted from Pseudomonadota to Bacteroidota, characterized by a substantial abundance increase of Bacteroidota from 0.13% to 44.22%. ConclusionRegional variation in origin significantly influence the microbial aging of donkey hides, leading to distinct patterns of structural deterioration and differential nutrient utilization. Therefore, implementing origin-specific preservation strategies, through the precisely controlling environmental factors to suppress harmful phyla such as Bacillota and Pseudomonadota, is crucial for enhancing the storage quality of donkey hides.

Objective To understand the current situation of healthcare-associated infection(HAI)in China,pro-vide data support and decision-making basis for formulating scientific and effective strategies for HAI prevention and control.Methods A nationwide cross-sectional survey on HAI was conducted among various types and levels of medical institutions in China according to a unified protocol of bedside surveys and case investigations.Results In 2024,a total of 5 736 medical institutions and 2 751 765 patients were surveyed.Among them,34 889 HAI cases were identified,with a prevalence rate of 1.27％.The number of HAI episodes was 38 032,and case prevalence rate was 1.38％.The prevalence rate of HAI in medical institutions in different regions of China ranged from 0.66％to 2.35％.Among medical institutions of different scales,those with a bed capacity of ≥900 had the high-est incidence of HAI,reaching 1.65％.The most common infection site was the lower respiratory tract(44.66％),followed by the urinary tract(12.94％),surgical site(9.32％),upper respiratory tract(7.02％),and bloodstream infection(5.78％).The top 3 departments with the highest HAI rates were the general intensive care unit(10.02％),department of neurosurgery(5.51％),and department(group)of hematology(5.34％).A total of 23 238 strains of HAI pathogens were detected,with 10 714 strains(46.10％)from lower respiratory tract speci-mens.The top 5 detected strains were Klebsiella pneumoniae(14.76％),Pseudomonas aeruginosa(13.33％),Escherichia coli(12.79％),Acinetobacter baumannii(9.23％),and Staphylococcus aureus(7.88％).231 944 pa-tients underwent class Ⅰ incision surgery were monitored,with 1 647 cases experienced surgical site infection,and the prevalence rate of surgical site infection was 0.71％.The number of patients who should undergo pathogen de-tection(patients receiving therapeutic and therapeutic combined prophylactic antimicrobial agents)was 715 179,while the actual number was 480 492,with a pathogen detection rate of 67.18％.425 225 patients received patho-genic detection before treatment,with a detection rate of 59.46％.Conclusion The overall HAI prevalence in Chi-na is lower,showing disparities among medical institutions of different regions and scales.Therefore,precise imple-mentation of measures is necessary for HAI prevention and control,with a focus on high-risk institutions and high-risk departments,key areas,and critical procedures.All levels of medical institutions should continuously reduce the incidence of HAI by strengthening monitoring,standardizing the use of antimicrobial agents,and reinforcing basic HAI prevention and control measures.

Objective To compare the value of three-dimensional tomography ultrasound imaging(3D-TUI)and MRI for diagnosng early cesarean scar pregnancy(CSP).Methods Seventy-six patients who had gestational week not more than 12 weeks and with clinically suspected CSP were retrospectively enrolled.According to surgical and postoperative pathological findings,the patients were categorized into CSP group(n=65)and non-CSP group(n=11).The diagnostic performance of 3D-TUI,MRI and the combination of these two for CSP,also the depiction of CSP characteristics of 3D-TUI and MRI were compared.Results The sensitivity,specificity,accuracy,positive predictive value and negative predictive value of combination of 3D-TUI and MRI for diagnosing CSP was 96.92％,90.91％,96.05％,98.44％and 83.33％,respectively,with the accuracy higher than that of 3D-TUI alone(P＜0.05).No significant difference of diagnostic efficacy was found between 3D-TUI and MRI(all P＞0.05).3D-TUI showed a higher accuracy rate than MRI for displaying yolk sac,embryo,villi invasion into local scars and implantation of villi into muscle layer(all P＜0.05),whereas MRI was more accurate for diagnosing intrauterine bleeding(P＜0.05).Conclusion 3D-TUI could be used as the preferred initial imaging examination for early CSP.Combining with MRI could further improve its diagnostic accuracy.

Objective:To investigate the impact of geometric morphology and hemodynamic characteristics at the carotid bifurcation on the formation of ulcerated plaques based on CT angiography(CTA).Methods:This was a cross-sectional study. The clinical and imaging data of 71 patients with carotid bifurcation atherosclerotic plaques (stenosis≥50%) confirmed by cranial and cervical CTA at Tianjin TEDA Hospital from July 2020 to October 2023 were retrospectively analyzed. Patients were divided into an ulcerated plaque group (32 cases) and a non-ulcerated plaque group (39 cases) based on plaque ulceration status. The CTA technique was used to assess the geometric parameters of the carotid bifurcation [such as the bifurcation angle, the angle between the common carotid artery and internal carotid artery (CCA-ICA), the proximal curvature angle of the internal carotid artery (ICA), and the ratio of the maximum area at the carotid bifurcation to the initial area of the carotid artery (CCAMAX/CCA)] and plaque characteristic parameters [such as plaque area at the site of stenosis, maximum wall thickness, remodeling ratio, eccentricity index, and presence of calcification within plaques]. Quantitative analysis of hemodynamic parameters in the plaque region was performed using finite-element analysis software, including time-averaged wall shear stress (TAWSS), transverse wall shear stress (transWSS), relative residence time (RRT), and oscillatory shear index (OSI). Comparisons of parameters between the two groups were conducted using the Mann-Whitney U test or χ2 test, and multivariate logistic regression analysis was employed to identify independent geometric and plaque characteristic factors influencing the formation of ulcerated plaques. A combined model incorporating hemodynamic, geometric, and plaque characteristic parameters was developed, and the efficacy of this combined model in predicting ulceration formation at the carotid bifurcation was evaluated using receiver operating characteristic curves and the area under the curve (AUC). Results:The bifurcation angle, CCA-ICA angle, proximal ICA curvature angle, CCAMAX/CCA ratio, presence of calcification within plaques, plaque area at the site of stenosis, and maximum wall thickness exhibited statistically significant differences between the ulcerated plaque group and the non-ulcerated plaque group ( P<0.05). Logistic regression analysis showed that CCAMAX/CCA ( OR=6.452, 95% CI 1.541-27.015, P=0.011) and plaque area at the site of stenosis ( OR=1.048, 95% CI 1.015-1.124, P=0.011) were independent factors influencing the formation of ulcerated plaques at the carotid bifurcation. The maximum and mean values of RRT and OSI in the ulcerated plaque group were significantly higher than those in the non-ulcerated group ( P<0.05), while the maximum and mean values of transWSS and TAWSS were lower in the ulcerated group compared to the non-ulcerated group ( P<0.05). The AUC for the combined model predicting ulceration formation at the carotid bifurcation was 0.926. Conclusions:The CCAMAX/CCA ratio and plaque area at the site of stenosis at the carotid bifurcation are independent factors influencing the formation of ulcerated plaques. A model that combines geometric morphology and hemodynamic parameters can more effectively diagnose the formation of ulcerated plaques at the carotid bifurcation.

Objective To deeply analyze the free-text comments of patients with cardiovascular disease regarding medical services,in order to identify their concerns and emotional tendencies during the medical journey,and to gain insights into the value elements of medical services from the patient perspective.Methods An open-ended question allowing free-text comments was embedded in the patient satisfaction survey to collect genuine evaluations of medical services from patients hospitalized for cardiovascular disease from Sept 2022 to Jul 2023,forming a large text corpus of patient opinions.Supervised machine learning algorithms and the BERT model were used to conduct topic modeling and sentiment analysis on the text corpus.Logistic regression was employed to analyze the relationship between negative comment themes and patient satisfaction and loyalty.Results A total of 4 693 comments were collected from patients with cardiovascular disease during the study period.The most frequently mentioned subjects in patient comments were nurses(25.1%),followed by doctors(14.9%).Sentiment analysis results showed that 3 592 patients(76.5%)made positive comments,977 patients(20.8%)made negative comments,102 patients(2.2%)made mixed comments,and 22 patients(0.5%)made neutral comments.Topic analysis results indicated that the five most frequently mentioned themes by patients with cardiovascular disease were humanistic care(14.4%),information education and communication(9.0%),technical proficiency(6.6%),diet(6.2%),and effectiveness of diagnosis and treatment(4.2%).Logistic regression analysis showed that negative evaluations of dimensions such as humanistic care,information education and communication and response to needs were significantly associated with lower patients'satisfaction and loyalty.Conclusion Interpersonal interaction and functionality are dual important dimensions in medical services,especially interpersonal interaction,which often becomes the decisive factor for patients with cardiovascular disease to assess the quality of medical services.

Objective To examine the time window effect of high-load exerciseon skeletal muscle in-flammation genes,and identify the key genes and signaling pathways involved in this process.Methods Forty-eight Sprague-Dawley rats were randomly assigned to a control group(group C,n=8)and an ex-ercise group(group E,n=40).Gastrocnemius muscles were collected immediately(group E0),12h(group E12),24h(group E24),48h(group E48),and 72 h(group E72)after exercise for transcrip-tome sequencing.Differentially expressed genes(DEGs)were identified,and enrichment analysis was carried out using the Gene Ontology(GO)and the Kyoto Encyclopedia of Genes and Genomes(KEGG)annotations.Meanwhile,inflammation-related genes were obtained from databases,and differ-entially expressed inflammation-related genes(DEIRGs)were done through identifying their intersec-tion with DEGs.Moreover,the Mfuzz algorithm was used for time series clustering to obtain subsets with similar characteristics.GO and KEGG analyses,along with protein interaction network analysis,were performed to obtain key DEIRGs,followed by secondary functional enrichment to analyze changes in expression of key genes over time and identify key signaling pathways.Results Seven DEIRG clus-ters were obtained through Mfuzz time series clustering of skeletal muscle inflammation genes after high-load exercise.Overall,the expression of DEGs in cluster 5 was downregulated,while that in cluster 7 was upregulated.The expression of DEGs in clusters 3 and 4 was upregulated at E0 and rap-idly downregulated at E12.In contrast,the expression of DEGs in cluster 2 and 6 were downregulated at E0 and rapidly upregulated at E12.The expression of DEGs in cluster 1 was upregulated at E0,rapidly downregulated at E12,and remained upregulated at E24.Screening identified TP53,STAT3,CD44,AKT1,KDR,GJA1,CYCS,HIF1A,IQGAP3,FASN,and TFRC as key DEIRGswhich were enriched in apoptosis,HIF-1,apoptosis,ferroptosis,MAPK,VEGF,PI3K-Akt,insulin resistance,FoxO,AMPK and the JAK-STAT signaling pathway.Conclusion Inflammation-related genes exhibit temporal dynamic changes in exercise-induced muscle damage and show significant time window effects at 12 h after exercise.The key targets STAT3,AKT1 and HIF-1A react to exercise-induced muscle damage through the JAK-STAT,PI3K-Akt,HIF-1 and VEGF signaling pathways,and promote tissue repair.