ObjectiveTo elucidate the underlying mechanism of the efficacy of Levo-tetrahydropalmatine （l-THP） in alleviating chronic pain and identify the key metabolites and metabolic pathways for l-THP regulation. MethodA classical chronic constrictive injury （CCI） model was built in rats’ bodies， and the pain intensity was evaluated by detecting the mechanical withdrawal threshold. On the sixth day after surgery， oral administration of l-THP （64 mg·kg^-1） and positive control drug pregabalin （Pre， 30 mg·kg^-1） was performed on rats. After the last administration following consecutive five times of administration， ipsilateral spinal cord tissues were collected for widely-targeted metabonomics， with eight rats in each group. Differential metabolites （DEMs） were identified according to the standard of VIP>1.0 and P<0.05， and functional enrichment and interaction analyses of the Kyoto Encyclopedia of Genes and Genomes （KEGG） were performed to obtain the key metabolites and metabolic pathways associated with the analgesic effects of l-THP. ResultIn behavioral science， administration of both l-THP and Pre significantly improved mechanical hyperalgesia in CCI rats （P<0.01）， thus mitigating pain. Metabonomic analysis results revealed that l-THP administration corrected the aberrant metabolic profile in the spinal cord of CCI rats. Meanwhile， 53 DEMs were called back， including several classical pain biomarkers such as sphingosine-1-phosphate （S1P）， cyclic adenosine monophosphate （cAMP）， acetylcholine， and glutamate. Functional enrichment analysis of the DEMs indicated the involvement of metabolic pathways such as ferroptosis， autophagy， neuroactive ligand-receptor interactions， phospholipase D and cAMP-related signaling pathways， glutathione metabolism， and cofactor biosynthesis in mediating the effects of l-THP on the metabolic profile of the spinal cord. Further analyses on the relative metabolite abundance and metabolic pathways indicated that by significantly decreasing the relative levels of glutamate （P<0.01） and glycine （P<0.01） in the spinal cord， l-THP can promote the synthesis of reduced glutathione （GSH） and increase the ratio of reduced/oxidized GSH （P<0.05）. Additionally， it can relieve oxidative stress in the spinal cord of CCI rats and significantly reduce the acetyl-CoA level （P<0.01） to finally inhibit ferroptosis occurrence. Conclusionl-THP may exert analgesic effects by regulating multiple metabolic pathways including GSH metabolism， ferroptosis， cofactor biosynthesis， and amino acid synthesis to correct the aberrant metabolic profile in the spinal cord of CCI rats. Ferroptosis and GSH metabolism may be the key pathways for l-THP regulation， with glutamate， glycine， glutathione， and acetyl-CoA as the key metabolites.

ObjectiveTo systematically explore the underlying mechanisms of Huashi Baidu prescription （HBP） against myocardial injury through a multidimensional network analysis of "transcriptome-putative target-phenotype gene". MethodPutative targets of compounds in HBP were predicted using the Encyclopedia of Traditional Chinese Medicine （ETCM 2.0，http：//www.tcmip.cn/ETCM2/front/） and the Integrative Pharmacology-based Research Platform of Traditional Chinese Medicine （TCMIP v2.0，http：//www.tcmip.cn/TCMIP/index.php/Home/Login/login.html）. Clinical predominant symptom phenotypes for HBP against coronavirus disease 2019 （COVID-19） were collected from CNKI and PubMed databases， while clinical side effects of doxorubicin were gathered from the CTD database. Phenotype-related genes were collected from the HPO database and SoFDA data platform （http：//www.tcmip.cn/Syndrome/front/#/）. An interaction network of "transcriptome-putative target-phenotype gene" was constructed. Key nodes were identified through topological feature calculations， and functional enrichment analysis was conducted to explain the underlying mechanism. Pharmacodynamic evaluation and mechanism verification were performed using a doxorubicin-induced myocardial injury mouse model. Sixty-five SPF-grade C57BL/6J male mice were randomly divided into a control group， a doxorubicin model group， and low-， medium-， and high-dose HBP groups （HBP-L/M/H）， with 13 mice per group. Histopathological severity was assessed using hematoxylin-eosin （HE） and Masson staining. Fibrosis markers were measured by Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR）， and protein expression was detected by Western blot. ResultA total of 1 044 putative targets for HBP were obtained from ETCM 2.0 and TCMIP v2.0. From the CTD， HPO， and SoFDA databases， 1 223 potential effect-related targets were identified. Cardiac transcriptome sequencing （RNA-seq） yielded 214 genes related to doxorubicin-induced myocardial injury and 58 genes associated with the effects of HBP， using criteria of P-value<0.05 and FC > 1.5/< 0.667. Analysis of the multidimensional molecular network revealed that the mechanisms of HBP on myocardial injury were mainly related to immune-inflammation imbalance， cellular metabolism， myocardial cell function and fibrosis， angiogenesis， contraction and platelet activation， DNA synthesis， metabolism and repair， as well as cell death and oxidative stress. HBP improved cardiovascular abnormalities such as reduced ejection fraction， myocardial fibrosis， myocarditis， hypertriglyceridemia， and arterial/venous thrombosis. Animal experiments demonstrated that HBP reduced the abnormal high expression of Nod-like receptor heat protein domain Protein 3 （NLRP3）， Caspase-1， apoptosis-associated speck-like protein （ASC）， and Gasdermin D （GSDMD） in myocardial tissue induced by doxorubicin （P<0.05）， and improved the elevated mRNA levels of fibrosis markers transforming growth factor-β₁ （TGF-β₁）， Smad3， and α-smooth muscle actin （α-SMA） （P<0.05）. ConclusionHBP can improve myocardial injury through multiple components， targets， and effects， with the inhibition of the NLRP3 inflammasome activation pathway being a key pharmacodynamic mechanism. This study is expected to provide new insights for the development of targeted therapeutic drugs.