ObjectiveThe essence of syndrome manifestation recognition in traditional Chinese medicine (TCM) is to infer the body’s latent pathogenesis state from clinical observational information, rather than to perform simple label matching. However, previous studies have largely modeled this task as syndrome pattern classification within a fixed label space, which does not adequately reflect the cognition process of TCM syndrome differentiation centered on pathogenesis reasoning, and is also insufficient to capture the openness, semantic variability, and cross-disease reusability of syndrome manifestation expression. This study aimed to investigate whether introducing pathogenesis reasoning chain-of-thought (PR-CoT) supervision into large language models (LLMs) could improve the quality and cognitive consistency of syndrome manifestation recognition and support cross-disease transfer. MethodsSyndrome manifestation recognition was formulated as a conditional generation task under the framework of clinical observational information (X)→pathogenesis structure (Z)→syndrome pattern output (Y), where Z serves as an explicit intermediate structural variable linking the clinical evidence and syndrome judgment. Within this framework, a PR-CoT-supervised dataset for syndrome manifestation recognition was constructed based on medical case records of spleen-stomach disorders. After preprocessing, information extraction, manual proofreading, and data cleaning, the dataset comprised 4 800 training cases, 400 development cases, and 400 test cases. Each sample was annotated with a structured PR-CoT consisting of three progressive levels: clinical information summarization, comprehensive pathogenesis analysis, and syndrome pattern output. Supervised fine-tuning was conducted on open-source LLMs, with an end-to-end model serving as the baseline. Qwen3-32B was used as the primary experimental model, and Qwen3-14B as the scale comparison model. A progressive multidimensional evaluation framework was further established, comprising a structural parsing level, a semantic similarity level, and an expert blind review level. At the structural parsing level, syndrome pattern expressions were decomposed into structural elements and evaluated using Precision, Recall, F1 score, and Jaccard similarity. At the semantic similarity level, independent LLMs scored the theoretical proximity between predicted and reference syndrome patterns. At the expert blind review level, three TCM experts independently evaluated model outputs on two dimensions: syndrome differentiation consistency and terminology standardization of syndrome patterns. In addition, zero-shot cross-disease transfer evaluation was conducted on gynecological and heart-system disorder test sets. ResultsAt the structural parsing level, PR-CoT supervision did not lead to a stable improvement in the element-wise overlap of syndrome pattern structural components. Compared with the corresponding baselines, neither Qwen3-32B nor Qwen3-14B showed consistent advantages in structural matching metrics after the introduction of PR-CoT supervision. In contrast, at the semantic similarity level, PR-CoT supervision produced stable positive gains across different model scales and evaluation systems. The average semantic score of Qwen3-32B increased from 6.425 8 in the baseline model to 6.585 0 after PR-CoT supervision, and that of Qwen3-14B increased from 5.870 0 to 5.964 2. At the expert blind review level, the overall score of Qwen3-32B (PR-CoT) was 7.026 0±0.107 7, higher than 6.416 3±0.288 9 for its baseline. In zero-shot cross-disease testing, the PR-CoT model still showed advantages in semantic evaluation and expert evaluation on both gynecological and heart-system disorder test sets, indicating a certain degree of transferability. ConclusionThe benefits of PR-CoT supervision are mainly reflected in TCM semantic consistency and clinical plausibility, rather than in improved hard matching of structural elements. These findings support understanding syndrome manifestation recognition as a process of generating and expressing latent pathogenesis structures, rather than as a classification task within a traditional fixed label space. By introducing pathogenesis reasoning as an explicit intermediate structure into the modeling process and combining it with a progressive multidimensional evaluation framework, this study provides a methodological pathway for intelligent TCM syndrome differentiation that integrates theoretical alignment, interpretability, and multi-level evaluation.

ObjectiveThe essence of syndrome manifestation recognition in traditional Chinese medicine (TCM) is to infer the body’s latent pathogenesis state from clinical observational information, rather than to perform simple label matching. However, previous studies have largely modeled this task as syndrome pattern classification within a fixed label space, which does not adequately reflect the cognition process of TCM syndrome differentiation centered on pathogenesis reasoning, and is also insufficient to capture the openness, semantic variability, and cross-disease reusability of syndrome manifestation expression. This study aimed to investigate whether introducing pathogenesis reasoning chain-of-thought (PR-CoT) supervision into large language models (LLMs) could improve the quality and cognitive consistency of syndrome manifestation recognition and support cross-disease transfer. MethodsSyndrome manifestation recognition was formulated as a conditional generation task under the framework of clinical observational information (X)→pathogenesis structure (Z)→syndrome pattern output (Y), where Z serves as an explicit intermediate structural variable linking the clinical evidence and syndrome judgment. Within this framework, a PR-CoT-supervised dataset for syndrome manifestation recognition was constructed based on medical case records of spleen-stomach disorders. After preprocessing, information extraction, manual proofreading, and data cleaning, the dataset comprised 4 800 training cases, 400 development cases, and 400 test cases. Each sample was annotated with a structured PR-CoT consisting of three progressive levels: clinical information summarization, comprehensive pathogenesis analysis, and syndrome pattern output. Supervised fine-tuning was conducted on open-source LLMs, with an end-to-end model serving as the baseline. Qwen3-32B was used as the primary experimental model, and Qwen3-14B as the scale comparison model. A progressive multidimensional evaluation framework was further established, comprising a structural parsing level, a semantic similarity level, and an expert blind review level. At the structural parsing level, syndrome pattern expressions were decomposed into structural elements and evaluated using Precision, Recall, F1 score, and Jaccard similarity. At the semantic similarity level, independent LLMs scored the theoretical proximity between predicted and reference syndrome patterns. At the expert blind review level, three TCM experts independently evaluated model outputs on two dimensions: syndrome differentiation consistency and terminology standardization of syndrome patterns. In addition, zero-shot cross-disease transfer evaluation was conducted on gynecological and heart-system disorder test sets. ResultsAt the structural parsing level, PR-CoT supervision did not lead to a stable improvement in the element-wise overlap of syndrome pattern structural components. Compared with the corresponding baselines, neither Qwen3-32B nor Qwen3-14B showed consistent advantages in structural matching metrics after the introduction of PR-CoT supervision. In contrast, at the semantic similarity level, PR-CoT supervision produced stable positive gains across different model scales and evaluation systems. The average semantic score of Qwen3-32B increased from 6.425 8 in the baseline model to 6.585 0 after PR-CoT supervision, and that of Qwen3-14B increased from 5.870 0 to 5.964 2. At the expert blind review level, the overall score of Qwen3-32B (PR-CoT) was 7.026 0±0.107 7, higher than 6.416 3±0.288 9 for its baseline. In zero-shot cross-disease testing, the PR-CoT model still showed advantages in semantic evaluation and expert evaluation on both gynecological and heart-system disorder test sets, indicating a certain degree of transferability. ConclusionThe benefits of PR-CoT supervision are mainly reflected in TCM semantic consistency and clinical plausibility, rather than in improved hard matching of structural elements. These findings support understanding syndrome manifestation recognition as a process of generating and expressing latent pathogenesis structures, rather than as a classification task within a traditional fixed label space. By introducing pathogenesis reasoning as an explicit intermediate structure into the modeling process and combining it with a progressive multidimensional evaluation framework, this study provides a methodological pathway for intelligent TCM syndrome differentiation that integrates theoretical alignment, interpretability, and multi-level evaluation.

Objective To investigate the predictive value of preoperative systemic inflammatory response index(SIRI)combined with clinicopathological parameters for postoperative recurrence in cervical cancer and to construct a prognostic model in order to optimize recurrence risk assessment.Methods Patients with cervical cancer who underwent standard surgical treatment at the First Affiliated Hospital of Chongqing Medical University(training cohort,n=996)and Chongqing Maternal and Child Health Hospital(validation cohort,n=496)between January 2017 and January 2022 were retrospectively enrolled based on our strict inclusion and exclusion criteria.Univariate and multivariate Cox regression analyses were performed to identify independent prognostic factors for recurrence-free survival(RFS),and then a nomogram was constructed.Receiver operating characteristic(ROC)curve was plotted to assess the predictive performance of the model,and the area under the curve(AUC)and calibration curve were employed to evaluate the model.Kaplan-Meier survival analysis was performed to determine the clinical application.Results Cox regression analysis demonstrated that International Federation of Gynecology and Obstetrics(FIGO)stage(P<0.001),tumor size(P<0.001),pathological type(P<0.001),tumor grade(P=0.007),parametrial invasion(P<0.001),depth of myometrial invasion(P=0.019),lymphovascular space invasion(P=0.019),vaginal margin involvement(P=0.010),adjuvant therapy(P=0.012),and SIRI(P<0.001)were independent prognostic factors for RFS.Our nomogram model based on above prognostic factors exhibited superior predictive performance for 1-,3-,and 5-year RFS,with a significantly higher AUC value(0.886)than those of single-parameter models.Conclusion Our nomogram model demonstrated good accuracy in predicting RFS in cervical cancer patients,providing a potential tool for personalized clinical decision-making in recurrence risk management.

Objective To reveal the molecular mechanism by which nuclear epidermal growth factor receptor(nEGFR)synergistically regulates the expression of cell migration-inducing protein(CEMIP)by forming a complex with the transcription factor Yin Yang 1(YY1),and to investigate the biological functions of the nEGFR-YY1-CEMIP signaling axis in invasion of hepatocellular carcinoma(HCC).Methods After HCC cells were serum-starved for 24 h,the cells were treated with 100 ng/mL EGF.Thus,the cells were divided into a control group and EGF-treated groups at different time points.Nuclear expression and localization changes of EGFR were detected by Western blotting and immunofluorescence(IF).To investigate the interaction between nEGFR and YY1,their nuclear colocalization and interaction were examined by IF and co-immunoprecipitation(Co-IP),respectively.Transcriptional profiling was performed using RNA sequencing(RNA-seq)to identify differentially expressed genes at the genome-wide level.Combined with Gene Ontology(GO)functional enrichment analysis and transcription factor binding profiles via using the JASPAR database,CEMIP was identified as a candidate target gene.To validate the regulatory mechanism,the following experimental groups were established,Control,EGF,siYY1,and siYY1+EGF.The expression of CEMIP at protein and mRNA levels was detected by Western blotting and RT-qPCR.To elucidate the molecular mechanism of nEGFR/YY1 binding to the CEMIP promoter,the control and EGF-treated groups were established.Chromatin immunoprecipitation followed by quantitative PCR(ChIP-qPCR)was performed to assess the enrichment of nEGFR/YY1 at the CEMIP promoter region.Luciferase reporter assay was conducted following transfection with either wild-type EGFR(EGFR-WT),nuclear localization-deficient mutant(EGFR-dNLS),YY1 overexpression plasmid(YY1-OE),or dominant-negative YY1 mutant(YY1-DN)to evaluate changes in promoter activity.Subsequently,cell migration and invasion capabilities were evaluated using scratch wound healing assay and Transwell assay,while hyaluronic acid(HA)level was quantified by ELISA.The expression of matrix metalloproteinases(MMP2/9)was analyzed via Western blotting to assess the regulatory role of the nEGFR/YY1-CEMIP axis in the migration and invasion of HCC cells.By analyzing the CEMIP expression profiles in HCC patients from National Center for Biotechnology Information(NCBI)public databases,its potential association with tumor metastasis risk was validated.Results Western blotting and IF demonstrated that EGF treatment significantly induced nuclear translocation of EGFR,peaking at 30 min(P<0.001).Co-IP and IF assays indicated both physical interaction and nuclear co-localization between nEGFR and YY1.RNA-seq analysis identified CEMIP as a significantly differentially expressed gene.GO enrichment analysis revealed that CEMIP was significantly enriched in biological processes related to cell invasion promotion.JASPAR prediction identified conserved YY1 potential binding region within the CEMIP promoter region.Western blot and RT-qPCR analyses confirmed that EGF treatment up-regulated CEMIP at both protein and mRNA levels(P<0.05).Notably,YY1 knockdown significantly suppressed CEMIP expression,while exogenous EGF supplementation restored CEMIP level in YY1-deficient cells(P<0.05).ChIP-qPCR analysis demonstrated specific enrichment of the nEGFR/YY1 complex at the CEMIP promoter region,with EGF stimulation significantly enhancing its binding affinity(P<0.001).Luciferase reporter assay confirmed that nEGFR/YY1 robustly enhanced CEMIP promoter activity(P<0.01),while either the EGFR-dNLS or the YY1-DN substantially attenuated this transcriptional activation.Functional phenotyping showed that the nEGFR/YY1-CEMIP axis significantly enhanced the migration and invasion of HCC cells by promoting HA catabolism and up-regulating MMP2/9 expression(P<0.05).Analysis of NCBI datasets revealed that CEMIP expression was significantly up-regulated in HCC tumor tissues than adjacent normal tissues(P<0.001).Moreover,HCC patients with elevated CEMIP expression exhibited higher risk of metastasis(P<0.001).Conclusion nEGFR promotes HCC invasion by forming a transcriptional complex with YY1 to cooperatively activate CEMIP expression.

Objective To reveal the mechanism by which the programmed death-ligand 1(PD-L1)-protein tyrosine phosphatase 1B(PTP1B)-focal adhesion kinase(FAK)signaling axis promotes the progression of hepatocellular carcinoma(HCC)and elucidate its effector functions in HCC.Methods GEPIA database was used to plot a 10-year survival curve for PD-L1 and FAK expression levels in HCC patients.Immunohistochemical(IHC)staining was utilized to analyze the relative expression levels of PD-L1 and FAK phosphorylated at the Y397 site[p-FAK(Y397)]in HCC tissues,and the results were compared to those in the adjacent non-tumor tissues.Subsequently,endogenous PD-L1 expression was detected with Western blotting in HCC cell lines with low(SNU-387)and high(Hep3B)PD-L1 expression levels.After lentivirus-transduced SNU-387PDL1+and Hep3BPDL1-cells were constructed,the effect of high and low expression of PD-L1 on the expression of p-FAK(Y397)with Western blotting.To elucidate the functional mechanism of FAK in HCC,functional rescue experiments were performed by administering a FAK inhibitor to SNU-387PDL1+cells and a FAK activator to Hep3BPDL1-cells,combined with wound healing scratch assay,Transwell invasion assay,EdU proliferation assay,and colony formation assay to evaluate tumor malignant effects.The GENEMANIA database predicted functional interactions between protein tyrosine phosphatase 1B(PTP1B),PD-L1,and FAK.IHC staining was performed to analyze the correlation among PD-L1,PTP1B,and p-FAK(Y397)expression.Co-immunoprecipitation(Co-IP)and indirect immunofluorescence(IF)were applied to validate the interaction between PD-L1 and PTP1B.Western blotting was utilized to confirm the regulatory relationship between PD-L1 and PTP1B.In vitro PTP1B phosphatase activity assay measured the changes in PTP1B activity.Subsequently,Western blotting was used to screen cell lines with high endogenous PTP1B expression(SNU-387)and low endogenous PTP1B expression(Hep3B).Furthermore,Hep3BPTP1B+and SNU-387PTP1B-cell lines were generated,and then p-FAK(Y397)levels were then detected in these modified cell lines,and the aforementioned functional effect assays(migration,invasion,proliferation and colony formation)and rescue experiments were repeated.Furthermore,Western blotting was employed to detect changes in downstream signaling pathways following enhancement or attenuation of p-FAK(Y397)in SNU-387 and Hep3B cells.Results IHC staining revealed a positive correlation between PD-L1 and p-FAK(Y397)expression in HCC tissues(95%CI:1.065～3.801,P<0.01).In SNU-387PDL1+cells,PD-L1 overexpression significantly enhanced phosphorylation at the FAK Y397 site(P<0.01)and increased cell migration,invasion,proliferation,and colony formation capabilities(P<0.01),and these effects could be reversed by FAK inhibitor treatment(P<0.05).Conversely,in Hep3BPDL1-cells,PD-L1 knockdown significantly reduced FAK Y397 phosphorylation(P<0.01)and decreased cell migration,invasion,proliferation,and colony formation abilities(P<0.01),and these effects were restored by FAK activator treatment(P<0.05).IHC staining further showed a negative correlation between PTP1B expression and both PD-L1 and p-FAK(Y397)in HCC tissues(95%CI:1.886～3.514,P<0.05).Co-IP and IF assays confirmed a direct interaction between PD-L1 and PTP1B,with PD-L1 suppressing PTP1B expression level and reducing its activity(P<0.01).In SNU-387PTP1B-cells,PTP1B knockdown significantly increased FAK Y397 phosphorylation(P<0.01)and enhanced cell migration,invasion,proliferation,and colony formation(P<0.01),and these effects were reversed by FAK inhibitor(P<0.05).While in Hep3BPTP1B+cells,PTP1B overexpression significantly decreased FAK Y397 phosphorylation(P<0.01)and reduced cell migration,invasion,proliferation,and colony formation(P<0.01),and those effects were restored by FAK activator treatment(P<0.05).Furthermore,enhanced phosphorylation at the FAK Y397 site in SNU-387 cells activated downstream PI3K/AKT and MEK/ERK signaling pathways(P<0.01),whereas inhibition of FAK(Y397)phosphorylation in Hep3B cells attenuated the activation of these signaling pathways(P<0.01).Conclusion PD-L1 activates FAK by suppressing PTP1B,thereby promoting migration,invasion,and proliferation in HCC.

With the rapid development of sequencing technologies, the detection of alternative polyadenylation (APA) in mammals has become more precise. APA precisely regulates gene expression by altering the length and position of the poly(A) tail, and is involved in various biological processes such as disease occurrence and embryonic development. The research on APA in mammals mainly focuses on the following aspects:(1) identifying APA based on transcriptome data and elucidating their characteristics; (2) investigating the relationship between APA and gene expression regulation to reveal its important role in life regulation;(3) exploring the intrinsic connections between APA and disease occurrence, embryonic development, differentiation, and other life processes to provide new perspectives and methods for disease diagnosis and treatment, as well as uncovering embryonic development regulatory mechanisms. In this review, the classification, mechanisms and functions of APA were elaborated in detail and the methods for APA identifying and APA data resources based on various transcriptome data were systematically summarized. Moreover, we epitomized and provided an outlook on research on APA, emphasizing the role of sequencing technologies in driving studies on APA in mammals. In the future, with the further development of sequencing technology, the regulatory mechanisms of APA in mammals will become clearer.

This study aims to explore the effects and mechanisms of the traditional Chinese medicine Cordyceps sinensis(CS) in ameliorating heart aging and injury in mice based on animal experiments and network pharmacology. A mouse model of heart aging was established by continuously subcutaneous injection of D-galactose(D-gal). Thirty mice were randomly assigned into a normal group, a model group, a low-dose CS(CS-L) group, a high-dose CS(CS-H) group, and a vitamin E(VE) group. Mice in these groups were administrated with normal saline, different doses of CS suspension, or VE suspension via gavage daily. After 60 days of treatment with D-gal and various drugs, all mice were euthanized, and blood and heart tissue samples were collected for determination of the indicators related to heart aging and injury in mice. Experimental results showed that both high and low doses of CS and VE ameliorated the aging phenotype, improved the heart index and myocardial enzyme spectrum, restored the expression levels of proteins associated with cell cycle arrest and senescence-associated secretory phenotypes(SASP), and alleviated the fibrosis and histopathological changes of the heart tissue in model mice. From the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP),259 active ingredients of CS were retrieved. From Gene Cards and OMIM, 2 568 targets related to heart aging were identified, and 133common targets shared by CS and heart aging were obtained. The Gene Ontology(GO) functional annotation and Kyoto Encyclopedia of Genes and Genomes( KEGG) pathway enrichment revealed that the pathways related to heart aging involved oxidative stress,apoptosis, inflammation-related signaling pathways, etc. The animal experiment results showed that both high and low doses of CS and VE ameliorated oxidative stress and apoptosis in the heart tissue to varying degrees in model mice. Additionally, CS-H and VE activated the nuclear factor E2-related factor 2(Nrf2)/heme oxygenase-1(HO-1) pathway and inhibited the expression of key proteins in the nuclear factor-κB(NF-κB) pathway in the heart tissue of model mice. In conclusion, this study demonstrated based on network pharmacology and animal experiments that CS may alleviate heart aging and injury in aging mice by reducing oxidative stress,apoptosis, and inflammation in the heart via the Nrf2/HO-1/NF-κB pathway.
Animals ; Cordyceps/chemistry* ; Mice ; NF-E2-Related Factor 2/genetics* ; NF-kappa B/genetics* ; Aging/genetics* ; Male ; Signal Transduction/drug effects* ; Network Pharmacology ; Drugs, Chinese Herbal/pharmacology* ; Heme Oxygenase-1/genetics* ; Heart/drug effects* ; Humans ; Myocardium/metabolism* ; Membrane Proteins/genetics*

The 95% ethanol extract of Stephania hernandifolia was isolated and purified by column chromatography on silica gel and Sephadex LH-20, RP-18 medium-pressure liquid chromatography, and semi-preparative high performance liquid chromatography. The chemical structures of the compounds were identified by NMR and high-resolution mass spectrometry. Four alkaloids were isolated and identified as(-)-8-oxo-2,3,4,10,11-pentamethoxyberberine(1),(-)-8-oxo-11-hydroxy-2,3,4,10-tetramethoxyberberine(2), N-trans-feruloyl tyramine(3), and N-cis-feruloyl tyramine(4). Compounds 1 and 2 were new protoberberine alkaloids, while compounds 3 and 4 were amide alkaloids. All the four compounds were separated from this plant for the first time. The inhibitory activities of compounds 1, 3, and 4 against α-glycosidase were measured by the enzymatic reaction in vitro with 4-nitrophenyl-α-D-glucopyranoside(PNPG) as the substrate. Compounds 3 and 4 showed inhibitory activities against α-glucosidase, with median inhibition concentration(IC_(50)) values of(7.09±0.42) and(31.25±1.14) μmol·L~(-1), respectively.
Berberine Alkaloids/isolation & purification* ; Stephania/chemistry* ; Drugs, Chinese Herbal/isolation & purification* ; Molecular Structure ; alpha-Glucosidases/metabolism* ; Chromatography, High Pressure Liquid ; Alkaloids/isolation & purification*

This study explores the role and underlying molecular mechanisms of fucoidan sulfate(FPS) in regulating heme oxygenase-1(Hmox1)-mediated ferroptosis to ameliorate myocardial injury in diabetic cardiomyopathy(DCM) through in vivo and in vitro experiments and network pharmacology analysis. In vivo, a DCM rat model was established using a combination of "high-fat diet feeding + two low-dose streptozotocin(STZ) intraperitoneal injections". The rats were randomly divided into four groups: normal, model, FPS, and dapagliflozin(Dapa) groups. In vitro, a cellular model was created by inducing rat cardiomyocytes(H9c2 cells) with high glucose(HG), using zinc protoporphyrin(ZnPP), an Hmox1 inhibitor, as the positive control. An automatic biochemical analyzer was used to measure blood glucose(BG), serum aspartate aminotransferase(AST), serum lactate dehydrogenase(LDH), and serum creatine kinase-MB(CK-MB) levels. Echocardiography was used to assess rat cardiac function, including ejection fraction(EF) and fractional shortening(FS). Pathological staining was performed to observe myocardial morphology and fibrotic characteristics. DCFH-DA fluorescence probe was used to detect reactive oxygen species(ROS) levels in myocardial tissue. Specific assay kits were used to measure serum brain natriuretic peptide(BNP), myocardial Fe~(2+), and malondialdehyde(MDA) levels. Western blot(WB) was used to detect the expression levels of myosin heavy chain 7B(MYH7B), natriuretic peptide A(NPPA), collagens type Ⅰ(Col-Ⅰ), α-smooth muscle actin(α-SMA), ferritin heavy chain 1(FTH1), solute carrier family 7 member 11(SLC7A11), glutathione peroxidase 4(GPX4), 4-hydroxy-2-nonenal(4-HNE), and Hmox1. Immunohistochemistry(IHC) was used to examine Hmox1 protein expression patterns. FerroOrange and Highly Sensitive DCFH-DA fluorescence probes were used to detect intracellular Fe~(2+) and ROS levels. Transmission electron microscopy was used to observe changes in mitochondrial morphology. In network pharmacology, FPS targets were identified through the PubChem database and PharmMapper platform. DCM-related targets were integrated from OMIM, GeneCards, and DisGeNET databases, while ferroptosis-related targets were obtained from the FerrDb database. A protein-protein interaction(PPI) network was constructed for the intersection of these targets using STRING 11.0, and core targets were screened with Cytoscape 3.9.0. Molecular docking analysis was conducted using AutoDock and PyMOL 2.5. In vivo results showed that FPS significantly reduced AST, LDH, CK-MB, and BNP levels in DCM model rats, improved cardiac function, decreased the expression of myocardial injury proteins(MYH7B, NPPA, Col-Ⅰ, and α-SMA), alleviated myocardial hypertrophy and fibrosis, and reduced Fe~(2+), ROS, and MDA levels in myocardial tissue. Furthermore, FPS regulated the expression of ferroptosis-related markers(Hmox1, FTH1, SLC7A11, GPX4, and 4-HNE) to varying degrees. Network pharmacology results revealed 313 potential targets for FPS, 1 125 targets for DCM, and 14 common targets among FPS, DCM, and FerrDb. Hmox1 was identified as a key target, with FPS showing high docking activity with Hmox1. In vitro results demonstrated that FPS restored the expression levels of ferroptosis-related proteins, reduced intracellular Fe~(2+) and ROS levels, and alleviated mitochondrial structural damage in cardiomyocytes. In conclusion, FPS improves myocardial injury in DCM, with its underlying mechanism potentially involving the regulation of Hmox1 to inhibit ferroptosis. This study provides pharmacological evidence supporting the therapeutic potential of FPS for DCM-induced myocardial injury.
Animals ; Ferroptosis/drug effects* ; Rats ; Diabetic Cardiomyopathies/physiopathology* ; Male ; Rats, Sprague-Dawley ; Polysaccharides/pharmacology* ; Heme Oxygenase-1/genetics* ; Myocytes, Cardiac/metabolism* ; Myocardium/pathology* ; Humans ; Cell Line ; Heme Oxygenase (Decyclizing)

The combination of Aidi Injection(ADI) and doxorubicin(DOX) is a common strategy in the treatment of cancer, which can achieve synergistic anti-tumor effects while attenuating the cardiotoxicity caused by DOX. This study aims to investigate the mechanism of ADI in attenuating DOX-induced cardiotoxicity by multi-omics. DOX was used to induce cardiotoxicity in mice, and the cardioprotective effects of ADI were evaluated based on biochemical indicators and pathological changes. Based on the results, transcriptomics, proteomics, and metabolomics were employed to analyze the changes of endogenous substances in different physiological states. Furthermore, data from multiple omics were integrated to screen key regulatory pathways by which ADI attenuated DOX-induced cardiotoxicity, and important target proteins were selected for measurement by ELISA kits and immunohistochemical analysis. The results showed that ADI significantly reduced the levels of cardiac troponin T(cTnT) and N-terminal pro-B-type natriuretic peptide(NT-proBNP) and effectively ameliorated myocardial fibrosis and intracellular vacuolization, indicating that ADI showed therapeutic effect on DOX-induced cardiotoxicity. The transcriptomics analysis screened out a total of 400 differentially expressed genes(DEGs), which were mainly enriched in inflammatory response, oxidative stress, and myocardial fibrosis. After proteomics analysis, 70 differentially expressed proteins were selected, which were mainly enriched in the inflammatory response, cardiac function, and energy metabolism. A total of 51 differentially expressed metabolites were screened by the metabolomics analysis, and they were mainly enriched in multiple signaling pathways, including the inflammatory response, lipid metabolism, and energy metabolism. The integrated data of multiple omics showed that linoleic acid metabolism, arachidonic acid metabolism, and glycerophosphate metabolism pathways played an important role in DOX-induced cardiotoxicity, and ADI may exert therapeutic effects by modulating these pathways. Target validation experiments suggested that ADI significantly regulated abnormal protein levels of cyclooxygenase-1(COX-1), cyclooxygenase-2(COX-2), prostaglandin H2(PGH2), and prostaglandin D2(PGD2) in the model group. In conclusion, ADI may attenuate DOX-induced cardiotoxicity by regulating linoleic acid metabolism, arachidonic acid metabolism, and glycerophosphate metabolism, thus alleviating inflammation of the body.
Doxorubicin/toxicity* ; Animals ; Mice ; Cardiotoxicity/genetics* ; Drugs, Chinese Herbal/administration & dosage* ; Male ; Proteomics ; Metabolomics ; Injections ; Humans ; Multiomics