ObjectiveTo investigate the regulatory effect of overexpressed protein tyrosine phosphatase non-receptor type 2 （Ptpn2） on the inflammatory response of mouse alveolar macrophages （MH-S） induced by SiO₂. MethodsCells with overexpressed Ptpn2 were constructed and induced by SiO₂. The experimental groups were divided into four groups： the negative control group with an empty vector （NC）， the overexpressed Ptpn2 group （P）， the negative control group with an empty vector + SiO₂ induction （NS）， and the overexpressed Ptpn2 + SiO₂ induction group （PS）. Isobaric tags for relative and absolute quantification （iTRAQ） combined with liquid chromatography-tandem mass spectrometry （LC-MS/MS） were used to screen differential proteins， followed by Gene Ontology （GO） and Kyoto Encyclopedia of Genes and Genomes （KEGG） database analyses. Immunofluorescence staining was used to detect the expressions of Tumor necrosis factor （TNF） α， Gasdermin D （GSDMD）， and Transforming growth factor （TGF）-β1. Western blot was used to detect the protein expression levels of PTPN2， Toll-like receptor 4 （TLR4）， tumor necrosis factor-α （TNF-α）， nucleotide-binding oligomerization domain-like receptor protein 3 （NLRP3）， and proteins related to the TGF-β1 signaling pathway in the cells of each group. ResultsiTRAQ results identified 144 differential proteins among the four groups. GO analysis showed that in biological processes （BP）， these differential proteins were mainly enriched in IκB kinase/nuclear factor-κB （NF-κB） signaling， cell activation and signal transduction involved in immune responses， and regulation of receptor signaling pathways by signal transducer and activator of transcription （STAT）， etc. KEGG analysis revealed that the differential proteins were mainly enriched in Toll-like receptor signaling pathway， NF-κB signaling pathway， NOD-like receptor signaling pathway， TGF-β signaling pathway， and TNF signaling pathway. The results of immunofluorescence staining showed that compared with the NC group， the expressions of TNF α， GSDMD， and TGF-β1 in the cells of the NS group increased （P < 0.05）； compared to the NS group， the expression of the aforementioned proteins in the PS group decreased in cellular proteins（P < 0.05）. The results of Western blot showed that compared with the NC group， the protein expression levels of PTPN2， p-NF-κB，MyD88，TLR4，NLRP3，GSDMD，Caspase-1，IL-1β， TGF-βR1， TGF-βR，p-Smad2/3 in the NS group were significantly upregulated （P < 0.05）； compared with the NS group， the expression levels of the aforementioned proteins in the PS group were significantly downregulated （P < 0.05）. ConclusionOverexpression of Ptpn2 can inhibit the protein expressions of TLR4-TNF-α signaling， NLRP3 signaling， and TGF-β1 signaling closely related to inflammatory response in SiO₂-mediated MH-S macrophages.

Background/Aims: Natural killer (NK) cell function is generally considered dampened in chronic hepatitis B virus (HBV) infection; however, the NK cell pool exhibits phenotypic and functional heterogeneity, and the antibody--mediated effect of NK cells remains less characterized. This study evaluated the dynamic changes in antibody-mediated NK cell responses and the involvement of distinct NK subsets across disease stages and during antiviral treatment. Methods: A T-cell receptor-like antibody specific for the HBV core 18–27 peptide (cTCRL-Ab) was used to determine the antibody-mediated effect of NK cells, and an array of NK cell surface markers were analyzed in cross-sectional and longitudinal cohorts of patients with chronic HBV infection. Single-cell RNA sequencing (scRNA-seq) was performed to identify the heterogeneity of NK subsets. Results: The cTCRL-Ab enabled the detection of NK cell cytolytic activity and IFNγ production. Notably, cTCRL-Ab-mediated NK cell responses were compromised in chronically HBV-infected patients, particularly in those receiving pegylated interferon-α (Peg-IFNα), which was associated with the downregulation of CD16 expression. Correspondingly, Peg-IFNα inhibited cTCRL-Ab-mediated NK cell function by reducing CD16 expression in vitro. scRNA-seq revealed that CD16 downregulation occurred mainly within a dysfunctional CD16hi NK subset exhibiting exhaustion properties. In contrast, an activated CD16hiNK subpopulation (CX3CR1⁺KLRC2–CD16hi) with high cytotoxicity was enriched in patients who experienced favorable treatment responses. Furthermore, the intrahepatic CX3CR1+KLRC2–CD16hi subset tended to exhibit functional restoration in HBsAg-loss individuals. Conclusions Our data contribute to the understanding of antibody-mediated responses of NK cells in chronic HBV infection, and highlight a previously unappreciated functional CX3CR1+KLRC2–CD16hiNK subset as a potential therapeutic target.

Atherosclerosis (AS) remains the core pathological basis underlying the high incidence and high rates of mortality and disability associated with cardiovascular disease (CVD) worldwide. Its essence is not merely lipid deposition, but rather an immune-mediated disease of the vascular wall characterized by an interplay of lipid metabolism disorders and chronic inflammation, with damage to vascular endothelial cells serving as the initiating event. As the disease progresses, it involves complex synergistic interactions among various cellular components, including endothelial cells, macrophages, and inflammatory cells, ultimately leading to plaque formation, instability, and even fatal thrombotic events. In recent years, the central driving role of lipid metabolic reprogramming in the progression of AS has garnered increasing attention from the scientific community. Among the vast array of lipid molecules, long-chain fatty acids (LCFAs) have become a primary focus of research due to their exceptional physiological functions. Traditional views have primarily emphasized the basic physiological functions of LCFAs: serving as highly efficient energy substrates through mitochondrial β-oxidation and acting as key structural components of cellular phospholipid membranes. However, emerging evidence clearly indicates that the functions of LCFAs extend far beyond those of mere metabolic fuel. They also act as potent bioactive signaling molecules, playing an indispensable multidimensional role in the pathogenesis of AS. Equally noteworthy and representing a paradigm shift in cardiovascular research is the emerging theory of the “gut-heart axis”. This theoretical framework views the human gut microbiota—comprising trillions of microorganisms—as a critical and metabolically active “bioreactor”. A wealth of clinical and multi-cohort epidemiological studies have conclusively demonstrated that imbalances in the composition and function of the gut microbiota are highly correlated with the clinical risk and severity of AS. Within this axis, the gut microbiota serves as the primary processing hub for dietary lipids. It actively participates in the digestion and biochemical remodeling of LCFAs, thereby altering their saturation and chemical structure and generating a wide variety of gut microbial metabolites. The effects of these gut-derived lipid metabolites extend far beyond the local intestinal microenvironment. Upon entering the bloodstream, these circulating microbiota metabolites act as endocrine signals. Given the extreme complexity of the underlying mechanisms, a comprehensive elucidation of the synergistic and bidirectional interactions between LCFAs and the gut microbiota in vascular pathology is particularly urgent. Therefore, this article aims to provide a systematic review of the multidimensional regulatory mechanisms of LCFAs and their associated gut microbiota metabolites in the onset, progression, and clinical manifestations of AS. By thoroughly exploring the interaction patterns within the “LCFAs-gut microbiota-AS” triad, this review seeks to fundamentally expand our understanding of the pathogenesis of CVDs. More importantly, translating these mechanistic insights into clinical practice holds tremendous promise. We hope to provide a solid theoretical foundation for the future development of novel AS prevention and treatment strategies based on non-traditional approaches. These include precision nutritional interventions (i.e., dietary lipid intake plans tailored to an individual’s unique microbiome profile) and targeted microbiome modulation therapies (such as next-generation probiotics, prebiotics, or specific metabolite supplements). Targeting the gut as a “reactor” to treat vascular wall lesions represents a promising direction for future cardiovascular medicine.

ObjectiveTo investigate the effects and mechanisms of Fangji Fulingtang （FFD） on mitochondrial function in the mouse model of myocardial fibrosis （MF）. MethodsSixty SPF-grade male C57BL/6J mice were randomly allocated into six groups （n=10 per group）： control， model， low-dose， medium-dose， and high-dose （3.315， 6.63， and 13.26 g·kg^-1， respectively） FFD， and captopril （20 mg·kg^-1）. MF was induced by subcutaneous injection of isoproterenol （10 mg·kg^-1·d^-1） in other groups except the control group for 14 consecutive days， with simultaneous gavage of corresponding drugs. Left ventricular ejection fraction （LVEF） and left ventricular fractional shortening （LVFS） were measured by echocardiography. Serum levels of creatine kinase-MB （CK-MB）， cardiac troponin I （cTnI）， N-terminal pro-brain natriuretic peptide （NT-pro BNP）， tumor necrosis factor-α （TNF-α）， interleukin-1β （IL-1β）， and interleukin-6 （IL-6） were determined by enzyme-linked immunosorbent assay （ELISA）. Malondialdehyde （MDA）， superoxide dismutase （SOD）， and glutathione （GSH） levels were measured by biochemical assays. Reactive oxygen species （ROS） were detected by dihydroethidium （DHE） fluorescence staining. Hematoxylin-eosin （HE）， Masson's trichrome， and wheat germ agglutinin （WGA） staining were performed to evaluate myocardial structure and fibrosis. Mitochondrial ultrastructure and function were assessed by transmission electron microscopy， adenosine triphosphate （ATP） colorimetric assay， and JC-1 fluorescence staining. The protein levels of phosphorylated adenosine monophosphate-activated protein kinase α subunit （p-AMPKα）， AMPKα， peroxisome proliferator-activated receptor gamma coactivator-1α （PGC-1α）， mitofusin 2 （MFN2）， pyruvate kinase M2 isoform （PKM2）， lactate dehydrogenase A （LDHA）， and hypoxia-inducible factor 1 alpha （HIF-1α） were analyzed by Western blot. ResultsCompared with the control group， the model group exhibited decreased LVEF and LVFS， increased heart weight index and heart weight-to-tibia length ratio （P<0.01）， elevated levels of myocardial injury markers （CK-MB， cTnI， and NT-pro BNP）， inflammatory cytokines （TNF-α， IL-1β， and IL-6）， and MDA， along with reduced SOD and GSH levels （P<0.01）. Enhanced interstitial collagen deposition and cardiomyocyte hypertrophy were observed in the model group （P<0.01）. Transmission electron microscopy and JC-1 staining revealed mitochondrial swelling， crista disruption， decreased ATP content， and reduced red/green fluorescence ratio in the model group （P<0.01）. Western blot analysis demonstrated downregulation of p-AMPKα， PGC-1α， and MFN2 and upregulation of PKM2， LDHA， and HIF-1α in the model group （P<0.01）. Compared with the model group， treatment with FFD or captopril improved LVEF and LVFS， reduced heart weight index and heart weight-to-tibia length ratio （P<0.05， P<0.01）， lowered the serum levels of CK-MB， cTnI， NT-pro BNP， TNF-α， IL-1β， IL-6， and MDA， increased the SOD and GSH levels （P<0.05， P<0.01）， attenuated the myocardial fibrosis and cardiomyocyte hypertrophy （P<0.01）， and restored the mitochondrial ultrastructure. The medium and high-dose FFD groups as well as the captopril group showed increased ATP production and red/green fluorescence ratio （P<0.05， P<0.01）. Furthermore， FFD upregulated the expression of p-AMPKα and PGC-1α while downregulating the expression of LDHA and HIF-1α （P<0.05， P<0.01）. ConclusionFFD activates the AMPK/PGC-1α/MFN2 signaling pathway and inhibits the PKM2/LDHA/HIF-1α axis to restore mitochondrial function and energy metabolic homeostasis， thereby attenuating isoproterenol-induced myocardial fibrosis.

ObjectiveTo investigate the effects and mechanisms of Fangji Fulingtang （FFD） on mitochondrial function in the mouse model of myocardial fibrosis （MF）. MethodsSixty SPF-grade male C57BL/6J mice were randomly allocated into six groups （n=10 per group）： control， model， low-dose， medium-dose， and high-dose （3.315， 6.63， and 13.26 g·kg^-1， respectively） FFD， and captopril （20 mg·kg^-1）. MF was induced by subcutaneous injection of isoproterenol （10 mg·kg^-1·d^-1） in other groups except the control group for 14 consecutive days， with simultaneous gavage of corresponding drugs. Left ventricular ejection fraction （LVEF） and left ventricular fractional shortening （LVFS） were measured by echocardiography. Serum levels of creatine kinase-MB （CK-MB）， cardiac troponin I （cTnI）， N-terminal pro-brain natriuretic peptide （NT-pro BNP）， tumor necrosis factor-α （TNF-α）， interleukin-1β （IL-1β）， and interleukin-6 （IL-6） were determined by enzyme-linked immunosorbent assay （ELISA）. Malondialdehyde （MDA）， superoxide dismutase （SOD）， and glutathione （GSH） levels were measured by biochemical assays. Reactive oxygen species （ROS） were detected by dihydroethidium （DHE） fluorescence staining. Hematoxylin-eosin （HE）， Masson's trichrome， and wheat germ agglutinin （WGA） staining were performed to evaluate myocardial structure and fibrosis. Mitochondrial ultrastructure and function were assessed by transmission electron microscopy， adenosine triphosphate （ATP） colorimetric assay， and JC-1 fluorescence staining. The protein levels of phosphorylated adenosine monophosphate-activated protein kinase α subunit （p-AMPKα）， AMPKα， peroxisome proliferator-activated receptor gamma coactivator-1α （PGC-1α）， mitofusin 2 （MFN2）， pyruvate kinase M2 isoform （PKM2）， lactate dehydrogenase A （LDHA）， and hypoxia-inducible factor 1 alpha （HIF-1α） were analyzed by Western blot. ResultsCompared with the control group， the model group exhibited decreased LVEF and LVFS， increased heart weight index and heart weight-to-tibia length ratio （P<0.01）， elevated levels of myocardial injury markers （CK-MB， cTnI， and NT-pro BNP）， inflammatory cytokines （TNF-α， IL-1β， and IL-6）， and MDA， along with reduced SOD and GSH levels （P<0.01）. Enhanced interstitial collagen deposition and cardiomyocyte hypertrophy were observed in the model group （P<0.01）. Transmission electron microscopy and JC-1 staining revealed mitochondrial swelling， crista disruption， decreased ATP content， and reduced red/green fluorescence ratio in the model group （P<0.01）. Western blot analysis demonstrated downregulation of p-AMPKα， PGC-1α， and MFN2 and upregulation of PKM2， LDHA， and HIF-1α in the model group （P<0.01）. Compared with the model group， treatment with FFD or captopril improved LVEF and LVFS， reduced heart weight index and heart weight-to-tibia length ratio （P<0.05， P<0.01）， lowered the serum levels of CK-MB， cTnI， NT-pro BNP， TNF-α， IL-1β， IL-6， and MDA， increased the SOD and GSH levels （P<0.05， P<0.01）， attenuated the myocardial fibrosis and cardiomyocyte hypertrophy （P<0.01）， and restored the mitochondrial ultrastructure. The medium and high-dose FFD groups as well as the captopril group showed increased ATP production and red/green fluorescence ratio （P<0.05， P<0.01）. Furthermore， FFD upregulated the expression of p-AMPKα and PGC-1α while downregulating the expression of LDHA and HIF-1α （P<0.05， P<0.01）. ConclusionFFD activates the AMPK/PGC-1α/MFN2 signaling pathway and inhibits the PKM2/LDHA/HIF-1α axis to restore mitochondrial function and energy metabolic homeostasis， thereby attenuating isoproterenol-induced myocardial fibrosis.

This study identified blood-entering components of Anshen Dropping Pills and explored their anti-insomnia effects and mechanisms. The main blood-entering components of Anshen Dropping Pills were detected and identified by UPLC-Q-TOF-MS/MS. The rationality of the formula was assessed by using enrichment analysis based on the relationship between drugs and symptoms, and core targets of its active components were selected as the the potential anti-insomnia targets of Anshen Dropping Pills through network pharmacology analysis. Furthermore, protein-protein interaction(PPI) network, Gene Ontology(GO) enrichment analysis, and Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway analysis were performed on the core targets. An active component-core target network for Anshen Dropping Pills was constructed. Finally, the effects of low-, medium-, and high-dose groups of Anshen Dropping Pills on sleep episodes, sleep duration, and sleep latency in mice were measured by supraliminal and subliminal pentobarbital sodium experiments. Moreover, total scores of the Pittsburgh sleep quality index(PSQI) scale was used to evaluate the changes before and after the treatment with Anshen Dropping Pills in a clinical study. The enrichment analysis based on the relationship between drugs and symptoms verified the rationality of the Anshen Dropping Pills formula, and nine blood-entering components of Anshen Dropping Pills were identified by UPLC-Q-TOF-MS/MS. The network proximity revealed a significant correlation between eight components and insomnia, including magnoflorine, liquiritin, spinosin, quercitrin, jujuboside A, ginsenoside Rb_3, glycyrrhizic acid, and glycyrrhetinic acid. Network pharmacology analysis indicated that the major anti-insomnia pathways of Anshen Dropping Pills involved substance and energy metabolism, neuroprotection, immune system regulation, and endocrine regulation. Seven core genes related to insomnia were identified: APOE, ALB, BDNF, PPARG, INS, TP53, and TNF. In summary, Anshen Dropping Pills could increase sleep episodes, prolong sleep duration, and reduce sleep latency in mice. Clinical study results demonstrated that Anshen Dropping Pills could decrease total scores of PSQI scale. This study reveals the pharmacodynamic basis and potential multi-component, multi-target, and multi-pathway effects of Anshen Dropping Pills, suggesting that its anti-insomnia mechanisms may be associated with the regulation of insomnia-related signaling pathways. These findings offer a theoretical foundation for the clinical application of Anshen Dropping Pills.
Animals ; Drugs, Chinese Herbal/administration & dosage* ; Tandem Mass Spectrometry/methods* ; Sleep Initiation and Maintenance Disorders/metabolism* ; Mice ; Network Pharmacology ; Male ; Chromatography, High Pressure Liquid ; Humans ; Protein Interaction Maps/drug effects* ; Sleep/drug effects* ; Female ; Adult

Callicarpa is an important medicinal plant in China, which has hemostatic, antibacterial, and antioxidant pharmacological effects, and the efficacy of astringing and arresting bleeding, clearing heat and detoxification, activating blood, and resolving stasis is outstanding. At the same time, Callicarpa can be used as an ornamental plant because of its gorgeous flowers and fruits. Callicarpa has good market development prospects, but the long seed reproduction cycle directly limits the large demand for seedlings in its industrial development. Asexual reproduction technology is the basis for the industrialization development of Callicarpa, which is helpful in producing high-quality seedlings and medicinal materials. Although Chinese and foreign scholars have achieved remarkable results in the study of asexual reproduction of Callicarpa, there is no report on the large-scale production of seedlings of Callicarpa. Integrating and improving its asexual reproduction technology can promote the development and utilization of Callicarpa, improve its medicinal value, and create significant economic benefits. Therefore, the authors reviewed the effects of cutting, season, plant growth regulators, substrates, environment, and management measures on the cutting of Callicarpa and the research progress of tissue culture propagation affected by explants, basic media, exogenous additives, subculture cycles, culture conditions, and transplanting substrates. The mechanism of adventitious root formation was reviewed at the cellular, physiological, and biochemical levels, so as to put forward the problems and corresponding solutions in the study of asexual propagation technology and regulatory mechanism of Callicarpa and point out the future research directions. The study aims to provide a reference for in-depth research on the asexual propagation technology of Callicarpa and the commercial production of its high-quality seedlings.
Reproduction, Asexual ; Plants, Medicinal/physiology* ; Seedlings/growth & development* ; Tissue Culture Techniques

This study aims to explore the medication rules and mechanisms of treating chronic renal failure(CRF) by Jinling medical school based on data mining, network pharmacology, and experimental validation systematically and deeply. Firstly, the study selected the papers published by the inherited clinicians in Jinling medical school in Chinese journals using the subject headings named "traditional Chinese medicine(TCM) + chronic renal failure", "TCM + chronic renal inefficiency", or "TCM + consumptive disease" in China National Knowledge Infrastructure, Wanfang, and VIP Chinese Science and Technology Periodical Database and screened TCM formulas for treating CRF according to inclusion and exclusion criteria. The study analyzed the frequency of use of single TCM and the four properties, five tastes, channel tropism, and efficacy of TCM used with high frequency and performed association rule and clustering analysis, respectively. As a result, a total of 215 TCM formulas and 235 different single TCM were screened, respectively. The TCM used with high frequency included Astragali Radix, Rhei Radix et Rhizoma, Salviae Miltiorrhizae Radix et Rhizoma, Poria, and Atractylodis Macrocephalae Rhizoma(top 5). The single TCM characterized by "cold properties, sweet flavor, and restoring spleen channel" and the TCM with the efficacy of tonifying deficiency had the highest frequency of use, respectively. Then, the TCM with the rules of "blood-activating and stasis-removing" and "diuretic and dampness-penetrating" appeared. In addition, the core combination of TCM [(Hexin Formula, HXF)] included "Astragali Radix, Rhei Radix et Rhizoma, Poria, Salviae Miltiorrhizae Radix, and Angelicae Sinensis Radix". The network pharmacology analysis showed that HXF had 91 active compounds and 250 corresponding protein targets including prostaglandin-endoperoxide synthase 2(PTGS2), PTGS1, sodium voltage-gated channel alpha subunit 5(SCN5A), cholinergic receptor muscarinic 1(CHRM1), and heat shock protein 90 alpha family class A member 1(HSP90AA1)(top 5). Gene Ontology(GO) function analysis revealed that the core targets of HXF predominantly affected biological processes, cellular components, and molecular functions such as positive regulation of transcription by ribonucleic acid polymerase Ⅱ and DNA template transcription, formation of cytosol, nucleus, and plasma membrane, and identical protein binding and enzyme binding. Kyoto Encyclopedia of Genes and Genomes(KEGG) analysis revealed that CRF-related genes were involved in a variety of signaling pathways and cellular metabolic pathways, primarily involving "phosphatidylinositol 3-kinase(PI3K)-protein kinase B(Akt) pathway" and "advanced glycation end products-receptor for advanced glycation end products". Molecular docking results showed that the active components in HXF such as isomucronulatol 7-O-glucoside, betulinic acid, sitosterol, and przewaquinone B might be crucial in the treatment of CRF. Finally, a modified rat model with renal failure induced by adenine was used, and the in vivo experimental confirmation was performed based on the above-mentioned predictions. The results verify that HXF can regulate mitochondrial autophagy in the kidneys and the PI3K-Akt-mammalian target of rapamycin(mTOR) signaling pathway activation at upstream, so as to alleviate renal tubulointerstitial fibrosis and then delay the progression of CRF.
Data Mining ; Drugs, Chinese Herbal/chemistry* ; Network Pharmacology ; Humans ; Kidney Failure, Chronic/metabolism* ; Medicine, Chinese Traditional ; China

By employing the analytic hierarchy process(AHP), the CRITIC method(a weight determination method based on indicator correlations), and the AHP-CRITIC hybrid weighting method, the weight coefficients of evaluation indicators were determined, followed by a comprehensive score comparison. The grey correlation analysis was then performed to analyze the results calculated using the hybrid weighting method. Subsequently, a backpropagation-artificial neural network(BP-ANN) model was constructed to predict the extraction process parameters and optimize the extraction process for Shenxiong Huanglian Jiedu Granules(SHJG). In the extraction process, an L_9(3~4) orthogonal experiment was designed to optimize three factors at three levels, including extraction frequency, water addition amount, and extraction time. The evaluation indicators included geniposide, berberine, ginsenoside Rg_1 + Re, ginsenoside Rb_1, ferulic acid, and extract yield. Finally, the optimal extraction results obtained by the orthogonal experiment, grey correlation analysis, and BP-ANN method were compared, and validation experiments were conducted. The results showed that the optimal extraction process involved two rounds of aqueous extraction, each lasting one hour; the first extraction used ten times the amount of added water, while the second extraction used eight times the amount. In the validation experiments, the average content of each indicator component was higher than the average content obtained in the orthogonal experiment, with a higher comprehensive score. The optimized extraction process parameters were reliable and stable, making them suitable for subsequent preparation process research.
Drugs, Chinese Herbal/analysis* ; Neural Networks, Computer

This study employed bioinformatics to screen the feature genes related to efferocytosis in diabetic kidney disease(DKD) and explores traditional Chinese medicine(TCM) regulating these feature genes. The GSE96804 and GSE30528 datasets were integrated as the training set, and the intersection of differentially expressed genes and efferocytosis-related genes(ERGs) was identified as DKD-ERGs. Subsequently, correlation analysis, protein-protein interaction(PPI) network construction, enrichment analysis, and immune infiltration analysis were performed. Consensus clustering was conducted on DKD patients based on the expression levels of DKD-ERGs, and the expression levels, immune infiltration characteristics, and gene set variations between different subtypes were explored. Eight machine learning models were constructed and their prediction performance was evaluated. The best-performing model was evaluated by nomograms, calibration curves, and external datasets, followed by the identification of efferocytosis-related feature genes associated with DKD. Finally, potential TCMs that can regulate these feature genes were predicted. The results showed that the training set contained 640 differentially expressed genes, and after intersecting with ERGs, 12 DKD-ERGs were obtained, which demonstrated mutual regulation and immune modulation effects. Consensus clustering divided DKD into two subtypes, C1 and C2. The support vector machine(SVM) model had the best performance, predicting that growth arrest-specific protein 6(GAS6), S100 calcium-binding protein A9(S100A9), C-X3-C motif chemokine ligand 1(CX3CL1), 5'-nucleotidase(NT5E), and interleukin 33(IL33) were the feature genes of DKD. Potential TCMs with therapeutic effects included Astragali Radix, Trionycis Carapax, Sargassum, Rhei Radix et Rhizoma, Curcumae Radix, and Alismatis Rhizoma, which mainly function to clear heat, replenish deficiency, activate blood, resolve stasis, and promote urination and drain dampness. Molecular docking revealed that the key components of these TCMs, including β-sitosterol, quercetin, and sitosterol, exhibited good binding activity with the five target genes. These results indicated that efferocytosis played a crucial role in the development and progression of DKD. The feature genes closely related to both DKD and efferocytosis, such as GAS6, S100A9, CX3CL1, NT5E, and IL33, were identified. TCMs such as Astragali Radix, Trionycis Carapa, Sargassum, Rhei Radix et Rhizoma, Curcumae Radix, and Alismatis Rhizoma may provide a new therapeutic strategy for DKD by regulating efferocytosis.
Humans ; Computational Biology ; Diabetic Nephropathies/physiopathology* ; Protein Interaction Maps ; Medicine, Chinese Traditional ; Drugs, Chinese Herbal ; Phagocytosis/genetics* ; Efferocytosis