Royal jelly acid is a unique unsaturated fatty acid isolated from royal jelly. Recently, royal jelly acid was proposed to have potential therapeutic effects on hyperlipidemia. However, its effect on hyperlipidemia and the underlying molecular mechanism remains unclear. Therefore, in this study, we analyzed the mechanism of anti-hyperlipidemia of royal jelly acid through animal experiments and plasma metabolomics in conjunction with human network pharmacology and molecular docking analyses. We found that royal jelly acid could significantly decrease the serum lipid levels, ameliorate hepatic pathological injury, and reduce the level of oxidative stress in the experimental rats. A total of 41 key metabolites and 10 hub targets played key roles in the exertion of anti-hyperlipidemic effects, including tumor necrosis factor (TNF), insulin (INS) and epidermal growth factor receptor (EGFR). A total of 24 pathways, including tryptophan, citrate cycle, and arachidonic acid metabolisms, were identified as the key pathways involved in royal jelly acid-alleviated hyperlipidemia. The present findings provide new insights into the pathogenesis, diagnosis, and treatment targets of hyperlipidemia as well as contribute to the development and utilization of royal jelly acid related products.

Danggui Buxue Decoction (DBD) is a formula used for treating diabetic kidney disease (DKD). However, the pharmacodynamic material basis of DBD in DKD therapy remains unclear, hindering its industrial development and innovation in drug formulations.

Lipid metabolism disorder is a key pathological mechanism in DKD progression. This study employs lipidomics to elucidate and validate the pharmacodynamic material basis of DBD in treating DKD.

Forty-eight male SD rats were used in the experiment, with 8 rats per group. The DKD model was constructed with a diet high in fat and sugar, together with intraperitoneal administration of low-dose STZ and unilateral nephrectomy. DBD was administered continuously for 10 weeks to assess its therapeutic efficacy on DKD. Lipid biomarkers in the DKD models were analyzed using lipidomics, while the transitional components in the blood of DBD-treated rats were characterized through UPLC-QE-Orbitrap MS. Potential pharmacodynamic substances were identified by correlating lipid biomarkers with active ingredients in vivo, followed by molecular docking and in vitro experiments to validate key pharmacodynamic components.

DBD significantly improved blood glucose, blood lipid levels, and renal function in DKD model rats. Lipidomics identified 37 lipid biomarkers in the DKD models, and DBD demonstrated a marked corrective effect on these biomarkers. In the therapeutically effective state, 91 blood transitional components of DBD were identified. Correlation analysis revealed 44 pharmacodynamic substances associated with DKD treatment, with ferulic acid, calycosin, astragaloside IV, and ligustilide being the key components. These substances acted by increasing the levels of SIRT1, PPARG, and ABCA1 proteins in lipid-deposited podocytes.

In conclusion, this study explained the scientific connotation of DBD treatment of DKD with modern scientific language from three aspects: pharmacodynamic evaluation, pharmacodynamic material basis and mechanism of action from the perspective of lipid metabolism balance for the first time, and provided an empirical basis for the modern application of traditional Chinese medicinal prescriptions.

Energy metabolism is crucial for reproduction, and disturbances in glucose metabolism are closely associated with reproductive disorders. The gonadotropin inhibitory hormone (GnIH) plays a crucial role in reproduction and glucose homeostasis in both birds and mammals. However, its specific effects on glucose metabolism-associated ovarian dysfunction in hens remain uncharacterized. In this study, we investigated the effects of GnIH on ovarian function and glucose homeostasis in hens using combined in vivo and in vitro approaches. Our results showed that GnIH and its receptor, GPR147, are predominantly expressed in white follicles. Continuous GnIH injection significantly reduced the ovarian index and the number of prehierarchical follicles, concurrently suppressing Fshr and LHr expression in white follicles. Additionally, metabolomic analyses indicate changes in key glucose metabolism pathways, indicating a regulatory role of GnIH in glucose metabolism. To validate our metabolomics findings, the effects of GnIH on glucose homeostasis in ovarian white follicles and granulosa cells (GCs) were further investigated through in vivo and in vitro studies. The results demonstrated that GnIH enhanced glucose transport, glycolysis and glycogen synthesis, but concurrently induced insulin resistance, oxidative stress, and mitochondrial dysfunction, ultimately leading to reduced energy levels and apoptosis in ovarian tissues. In summary, our study reveals that GnIH contributes to ovarian dysfunction via glucose metabolism dysregulation in hens, suggesting its potential as a therapeutic target for metabolic disorder-associated ovarian impairment in chickens.

Ershen Wan (ESW), a classic traditional Chinese medicine (TCM) prescription composed of Psoralea corylifolia Linn. and Myristica fragrans Houtt., has been applied to treat gastrointestinal disorders in clinical practices for thousands of years. However, its potential molecular mechanism in alleviating ulcerative colitis (UC) remains to be elusive.

The purpose of the study is to explore the underlying mechanism of ESW in treating UC.

The protective effect of ESW on dextran sodium sulfate (DSS)-induced UC mice was assessed by body weight, disease activity index (DAI), colon length, colon tissue pathology, and colonic inflammatory factors. Furthermore, network pharmacology was applied to dissect the possible targets and biological pathways regulated by ESW. The plasma and fecal metabolomics were comprehensively analyzed by UPLC-Q-TOF/MS. Subsequently, an efficient and feasible approach integrating network pharmacology, metabolomics, and molecular docking was used to explore the key targets obtained from the metabolite-reaction-enzyme-gene network. And the effect of ESW on the MAPK signaling mediated intestinal epithelial cell apoptosis was further investigated by in vitro and in vivo experiments.

ESW could notably alleviate colon injury and inflammation of UC mice. Network pharmacology suggested that the bioactive components of ESW could mainly modulate signaling pathways associated with inflammation and metabolism. Consistently, plasma and fecal metabolomics further indicated that ESW could regulate the metabolic pathways of arachidonic acid, linoleic acid, sphingolipid, tryptophan, and glycerophospholipid. And the combined analysis of network pharmacology and metabolomics revealed that 14 pivotal targets were modulated by ESW, including PTGS1, PTGS2, CYP1A1, FADS1, CBR1, ALOX5, EPHX1, EPHX2, HPGD, PLA2G1B, PLA2G7, MGLL, ACHE, and SPHK1. Additionally, molecular docking suggested that bioactive components of ESW could bind well to these potential targets. And in vitro and in vivo experiments further verified that ESW could markedly ameliorate pathological symptoms of UC mice through inhibiting MAPK signaling mediated colonic epithelial cell apoptosis.

Collectively, these findings indicated that ESW could effectively alleviate the pathological symptoms of UC mice, mainly involving in the modulation of lipid and amino acid metabolism pathways, and the suppression of MAPK signaling-mediated apoptosis. In this study, the potential mechanism of ESW for the treatment of UC was first clarified, which provided a solid scientific foundation for its clinical application. Notably, the proposed strategy facilitated a comprehensive prediction and validation of the efficacy and molecular mechanism of TCMs, and also provided a novel approach for revealing the intricate biological pathogenesis of diseases.

Diabetic foot is a complex condition with high incidence, recurrence, mortality, and disability rates. Current treatments for diabetic foot ulcers are often insufficient. This study was conducted to identify potential therapeutic targets for diabetic foot.

Datasets related to diabetic foot and diabetic skin were retrieved from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) were identified using R software. Enrichment analysis was conducted to screen for critical gene functions and pathways. A protein interaction network was constructed to identify node genes corresponding to key proteins. The DEGs and node genes were overlapped to pinpoint target genes. Plasma and chronic ulcer samples from diabetic and non-diabetic individuals were collected. Western blotting, immunohistochemistry, and enzyme-linked immunosorbent assays were performed to verify the S100 calcium binding protein A9 (S100A9), inflammatory cytokine, and related pathway protein levels. Hematoxylin and eosin staining was used to measure epidermal layer thickness.

In total, 283 common DEGs and 42 node genes in diabetic foot ulcers were identified. Forty-three genes were differentially expressed in the skin of diabetic and non-diabetic individuals. The overlapping of the most significant DEGs and node genes led to the identification of S100A9 as a target gene. The S100A9 level was significantly higher in diabetic than in non-diabetic plasma (178.40 ± 44.65 ng/mL vs. 40.84 ± 18.86 ng/mL) and in chronic ulcers, and the wound healing time correlated positively with the plasma S100A9 level. The levels of inflammatory cytokines (tumor necrosis factor-α, interleukin [IL]-1, and IL-6) and related pathway proteins (phospho-extracellular signal regulated kinase [ERK], phospho-p38, phospho-p65, and p-protein kinase B [Akt]) were also elevated. The epidermal layer was notably thinner in chronic diabetic ulcers than in non-diabetic skin (24.17 ± 25.60 μm vs. 412.00 ± 181.60 μm).

S100A9 was significantly upregulated in diabetic foot and was associated with prolonged wound healing. S100A9 may impair diabetic wound healing by disrupting local inflammatory responses and skin re-epithelialization.

Diabetic kidney disease (DKD), a.k.a diabetic nephropathy, is a leading cause of end-stage renal disease. However, in a fair percentage of patients with type-2 diabetes, renal involvement also occurs due to non-diabetic reasons (non-diabetic kidney disease, NDKD). In this study, we identified miRNA-mRNA regulatory networks specific to human DKD pathogenesis. miRNA profiling of the renal biopsy from cases (DKD, n = 5), disease controls (T2DM with NDKD, n = 6), and non-diabetic, non-CKD controls (patients undergoing nephrectomy for renal cancer, n = 3) revealed 68 DKD-specific miRNA regulation. Sixteen target mRNAs of these DKD-miRNAs were found to have a negative association with the estimated glomerular filtration rate (eGFR) in patients with DKD. The renal gene expression and eGFR data of DKD patients (n = 10-18) in the NephroSeq database were used. Based on these findings, 11 miRNA-mRNA regulatory networks were constructed for human DKD pathogenesis. Of these, in-vitro validation of miR-192-5p- CDKN3 (Cell cycle-dependent kinase inhibitor 3) network was done as miR-192-5p exhibited a maximum number of target genes in the identified DKD regulatory networks, and CDKN3 appeared as a novel target of miR-192-5p in our study. We demonstrated that miR-192-5p overexpression or knockdown of CDKN3 attenuated high glucose-induced apoptosis, fibrotic gene expression, cell hypertrophy, and cell cycle dysregulation and improved viability of proximal tubular cells. Moreover, miR-192-5p overexpression significantly inhibited CDKN3 mRNA and protein expression in proximal tubular cells. Overall, 11 miRNA-mRNA regulatory networks were predicted for human DKD pathogenesis; among these, the association of miR-192-5p- CDKN3 network DKD pathogenesis was confirmed in proximal tubular cell culture.

Immunometabolic variations in macrophages critically influence their differentiation into pro-inflammatory or anti-inflammatory phenotypes, thereby contributing to immune homeostasis, defense against infection, and tissue repair. Dysregulation of macrophage immunometabolism has been closely implicated in several metabolic diseases, including obesity, type 2 diabetes mellitus (T2DM), non-alcoholic fatty liver disease (NAFLD), hypertension, atherosclerosis, and gout, which positions macrophages as potential therapeutic targets. Recently, several natural products that target macrophage metabolic pathways have shown significant efficacy in managing metabolic diseases; however, a systematic review of these findings has yet to be conducted. This study consolidates natural products with immunoregulatory properties, including flavonoids, phenols, terpenoids, and naphthoquinones, which can alleviate chronic inflammation associated with metabolic disorders by modulating macrophage metabolic pathways, such as aerobic glycolysis, oxidative phosphorylation (OXPHOS), and fatty acid oxidation (FAO). This review aims to elucidate the metabolic regulation of the immune system, analyze metabolic alterations in macrophage associated with metabolic diseases, and summarize the beneficial roles of natural products in immunometabolism, providing novel insights for the prevention and therapeutic management of metabolic diseases.

Bupleurum, a Traditional Chinese Medicine (TCM) herb, is widely used in China and other Asian countries to manage chronic liver inflammation and viral hepatitis. Saikosaponin D (SSD), a triterpenoid saponin extracted from Bupleurum, exhibits extensive pharmacological properties, including anti‑inflammatory, antioxidant, anti‑apoptotic, anti‑fibrotic and anti‑cancer effects, making it a therapeutic candidate for numerous diseases. Clarifying the targets and molecular mechanisms underlying TCM compounds is essential for scientifically validating TCM's therapeutic roles in disease prevention and treatment, as well as for identifying novel therapeutic targets and lead compounds. This analysis comprehensively examines SSD's mechanisms across various conditions, such as myocardial injury, pulmonary diseases, hepatic disorders, renal pathologies, neurological disorders, diabetes and cancer. In addition, challenges and potential solutions encountered in SSD research are addressed. SSD is posited as a promising monomer for multifaceted therapeutic applications and this article aims to enhance researchers' understanding of the current landscape of SSD studies, offering strategic insights to guide future investigations.

Kidney injury and disease pose a significant global health burden. Despite existing diagnostic methods, early detection remains challenging due to the lack of specific molecular markers to identify and stage various kidney lesions. Urinary exosomes, extracellular vesicles secreted by kidney cells, offer a promising solution. These vesicles contain a variety of biomolecules, such as proteins, RNA, and DNA. These biomolecules can reflect the unique physiological and pathological states of the kidney. This review explores the potential of urinary exosomes as biomarkers for a range of kidney diseases, including renal failure, diabetic nephropathy, and renal tumors. By analyzing specific protein alterations within these exosomes, we aim to develop more precise and tailored diagnostic tools to detect kidney diseases at an early stage and improve patient outcomes. While challenges persist in isolating, characterizing, and extracting reliable information from urinary exosomes, overcoming these hurdles is crucial for advancing their clinical application. The successful implementation of urinary exosome-based diagnostics could revolutionize early kidney disease detection, enabling more targeted treatment and improved patient outcomes.

Diabetes is increasing in prevalence worldwide, with a 20% rise in prevalence predicted between 2021 and 2030, bringing an increased burden of complications, such as diabetic kidney disease (DKD). DKD is a leading cause of end-stage kidney disease, with significant impacts on patients, families and healthcare providers. DKD often goes undetected until later stages, due to asymptomatic disease, non-standard presentation or progression, and sub-optimal screening tools and/or provision. Deeper insights are needed to improve DKD diagnosis, facilitating the identification of higher-risk patients. Improved tools to stratify patients based on disease prognosis would facilitate the optimisation of resources and the individualisation of care. This review aimed to identify how multiomic approaches provide an opportunity to understand the complex underlying biology of DKD.

This review explores how multiomic analyses of DKD are improving our understanding of DKD pathology, and aiding in the identification of novel biomarkers to detect disease earlier or predict trajectories.

Effective multiomic data integration allows novel interactions to be uncovered and empathises the need for harmonised studies and the incorporation of additional data types, such as co-morbidity, environmental and demographic data to understand DKD complexity. This will facilitate a better understanding of kidney health inequalities, such as social-, ethnicity- and sex-related differences in DKD risk, onset and progression.

Multiomics provides opportunities to uncover how lifetime exposures become molecularly embodied to impact kidney health. Such insights would advance DKD diagnosis and treatment, inform preventative strategies and reduce the global impact of this disease.

Diabetes nephropathy (DN) is a severe diabetic chronic microvascular complication and the major cause of end-stage renal disease (ESRD). Our study aimed to investigate the effects of isoliquiritigenin (ISL) a natural flavonoid compound on DN and to explore the underlying mechanisms. The db/db mice were received intragastric treatments of ISL (5, 10, or 20 mg/kg), vehicle or positive drug metformin (300 mg/kg) once a day for 12 weeks, and the db/m mice treated with vehicle were used as controls. ISL significantly ameliorated pathological changes and functional injury in the kidneys of db/db mice in a dose-dependent manner. The administration of 20 mg/kg ISL reduced the levels of serum creatinine (Scr; 49.0 ± 1.7 vs. 56.9 ± 2.9 μmol/L; p < 0.01), blood urine nitrogen (BUN; 9.6 ± 1.3 vs. 12.0 ± 1.1 mmol/L; p < 0.05), albumin to creatinine ratio (ACR; 1925.8 ± 798.1 vs. 4269.4 ± 925.6 μg/mg; p < 0.01) and urinary albumin (276.2 ± 39.9 vs. 576.9 ± 108.9 μg; p < 0.05). Further study identified advanced glycation end product (AGE)-receptor for AGE (RAGE) axis as a target of ISL. ISL (20 mg/kg) lowered renal AGE level (2.5 ± 0.5 vs. 3.8 ± 0.6 μg/mg; p < 0.01) and RAGE expression, leading to improvements in renal fibrosis, oxidative stress, and inflammation. To sum up, our study demonstrated that ISL displayed preventive effects on the experimental model of DN through suppressing AGE-RAGE pathway, and provided some insights into the application of ISL in DN treatment.

The relationships among immune cells, metabolites, and AS events were analyzed via Mendelian randomization (MR), and potential immune cells and metabolites were identified as risk factors for AS. Their relationships were subjected to intermediary MR analysis to identify the final immune cells and metabolites. The vertebral bone marrow blood samples from three patients with and without AS were subjected to 10× single-cell sequencing to further elucidate the role of immune cells in AS. The key genes were screened via expression quantitative trait loci (eQTLs) and MR analyses. The metabolic differences between the two groups were compared through single-cell metabolism analysis. Two subgroups of differentiated (CD)8+ memory T cells and naive B cells were obtained from the combined results of intermediary MR analysis and AS single-cell analysis. After the verification of key genes, inorganic pyrophosphatase 1 (PPA1) was identified as the hub gene, as it is differentially expressed in CD8+ memory T cells and can affect the metabolism of T cells in AS by affecting the expression of ferulic acid (FA)4 sulfate, which participates in the cellular immunity in AS.

Dachaihu decoction (DCHD) is a common Chinese medicine formula against sepsis-induced acute lung injury (SALI). PANoptosis is a novel type of programmed cell death. Nevertheless, The mechanisms of DCHD against SALI via anti-PANoptosis remains unknown.

First, we identified the intersecting targets among DCHD, SALI, and PANoptosis using relevant databases and published literature. Then, protein-protein interaction (PPI) network, molecular docking, and functional enrichment analysis were conducted. In vivo, cecal ligation and puncture (CLP) was used to construct a sepsis mouse model, and the therapeutic effects of DCHD on SALI were evaluated using hematoxylin and eosin (H&E) staining, quantitative real-time PCR (qRT-PCR), and ELISA. Finally, qRT-PCR, immunofluorescence staining, and Western blotting were used to verify the effect of DCHD-containing serum (DCHD-DS) on LPS-induced RAW 264.7 macrophages in vitro.

82 intersecting targets were identified by mapping the targets of DCHD, SALI, and PANoptosis. Enrichment analysis showed that DCHD against SALI via anti-PANoptosis by modulating tumor necrosis factor (TNF), AGE-RAGE, phosphoinositide 3-kinase (PI3K)-AKT, and Toll-like receptor signaling pathways by targeting Casp3, cellular tumor antigen p53 (TP53), B-cell lymphoma 2 (Bcl2), toll-like receptor-4 (TLR4), STAT3, STAT1, RELA, NF-κB1, myeloid cell leukemia-1 (MCL1), JUN, IL-1β, HSP90AA1, Casp9, Casp8, and Bcl2l1. Molecular docking analysis revealed that the key components of DCHD have a high binding affinity to the core targets. In vivo, DCHD improved lung histopathological injury, reduced inflammatory factor expression, and alleviated oxidative stress injury in lung tissues. In vitro, DCHD-DS alleviated cell morphology changes, the release of pro-inflammatory factors, and p65 nucleus aggregation. Furthermore, we verified that DCHD-DS inhibited PANoptosis by downregulating the PI3K/AKT/NF-κB signalling pathway.

DCHD attenuates SALI by inhibiting PANoptosis via control of the PI3K/AKT/NF-κB pathway. Our study provides a solid foundation for investigating the mechanisms of DCHD and its clinical application in the treatment of SALI.

The transition from a non-lactating to a lactating state is a critical period for lipid metabolism in dairy cows. Danggui Buxue Tang (DBT), stimulating energy metabolism, ameliorates diseases related to lipid metabolism disorders and is expected to be an effective supplement for alleviating excessive lipid mobilisation in periparturient dairy cows. This study aimed to investigate the effects of supplemental DBT on serum biochemical indices, faecal microbial communities, and plasma metabolites in dairy cows.

Thirty cows were randomly divided into three groups: H-DBT group, L-DBT group, and control group. DBT administration was started on the day of calving and continued once daily for seven days. Faecal and blood samples were collected on calving day, 7 days after calving, and 14 days after calving. The levels of serum biochemical indices were measured at three time points in the three groups using commercial kits. Cows in the H-DBT group and control group were selected for metabolome and 16S rRNA amplicon sequencing.

Our research shows that, in dairy cows 7 days postpartum, DBT significantly reduced serum 3-hydroxybutyric acid (BHB) concentrations and the number of cows with BHB concentrations ≥ 1 mmol/L. Additionally, DBT increased serum total cholesterol contents at both 7 and 14 days postpartum. Analysis of the microbiota community showed that DBT modulated the composition and structure of the hindgut microbiota. Metabolomic analysis revealed decreased plasma acetylcarnitine, 2-hydroxybutyric acid, and BHB levels 7 days postpartum, whereas the TCA cycle was enhanced. At 14 days postpartum, DBT altered the plasma bile acid profile, especially glycine-conjugated bile acids, including GCDCA, GUDCA, and GDCA. Correlation analyses showed that the relative abundances of Bacillus, Solibacillus, Dorea, and Romboutsia were strongly correlated with the differential metabolites, which is crucial for the beneficial effects of DBT.

DBT improves energy status and lipid metabolism in postpartum dairy cows by modulating hindgut microbiota and serum lipid metabolites.

Screening for pulmonary nodules (PN) using low-dose CT has proven effective in reducing lung cancer (LC) mortality. However, current treatments relying on follow-up and surgical excision fail to fully address clinical needs. Pathological angiogenesis plays a pivotal role in supplying oxygen necessary for the progression of PN to LC. The interplay between hypoxia and angiogenesis establishes a vicious cycle, rendering anti-angiogenesis therapy alone insufficient to prevent PN to LC transformation. In traditional Chinese medicine (TCM), PN is referred to as "Feiji," which is mainly attributed to Qi and blood deficiency, correspondingly, the most commonly prescribed medicines are Astragalus membranaceus (Fisch.) Bge. var. mongholicus (Bge.) Hsiao (huang qi) (AR) and Angelica sinensis (Oliv.) Diels (dang gui) (ARS). Modern pharmacological studies have demonstrated that AR and ARS possess immune-enhancing, anti-tumor, anti-inflammatory, and anti-angiogenic properties. However, the precise mechanisms through which AR and ARS exert anti-angiogenic effects to delay PN progression to LC remain inadequately understood. This review explores the critical roles of hypoxia and angiogenesis in the transition from PN to LC. It emphasizes that, compared to therapies targeting angiogenic growth factors alone, AR, ARS, and their compound-based prescriptions offer additional benefits. These include ameliorating hypoxia by restoring blood composition, enhancing vascular structure, accelerating circulation, promoting vascular normalization, and blocking or inhibiting various pro-angiogenic expressions and receptor interactions. Collectively, these actions inhibit angiogenesis and delay the PN-to-LC transformation. Finally, this review summarizes recent advancements in related research, identifies existing limitations and gaps in knowledge, and proposes potential strategies and recommendations to address these challenges.

Dang-Gui-Bu-Xue decoction (DBD) is a traditional Chinese medicine prescription clinically employed for diabetic nephropathy (DN). However, the components and pharmacological mechanisms of DBD against DN remain incompletely understood.

To clarify the beneficial effect of DBD on DN and to explore its nephroprotective effect's probable mechanism and the main components.

A diabetic mice model was established by feeding a high-fat diet (HFD) and intraperitoneal injections of streptozotocin (STZ, 40 mg‧kg-1). Subsequently, the mice were maintained on a HFD and administered with DBD. The benefits of DBD against DN were comprehensively assessed by monitoring energy and water intake, blood glucose and lipids, renal functions and pathological status. The UPLC-MS/MS was measured to detect chemical constituents in DBD and absorbed components in DBD-treated plasma under physiological and pathological states. Network pharmacology was employed to forecast the probable pathways of DBD intervention in DN, with subsequent validation of these predictions through testing biochemical parameters, anti-glycation and ELISA assays, immunofluorescence, immunohistochemistry, and western blotting. Then, a chemical derivatization method paired with UPLC-MS/MS analysis was performed to detect the carbonyl compounds in renal tissue. Finally, the main components of DBD against DN were screened by anti-glycation and MTT assays.

DBD regulated energy and water intakes, glucose and lipid metabolism disorders, renal dysfunction, glomerular filtration rate, renal interstitial glycogen accumulation and fibrosis in HFD/STZ-induced DN mice. A total of 129 distinct chemical constituents in DBD were characterized, of which 28 were detected in the DBD-treated plasma under a pathological state. The network pharmacological results suggested AGEs/RAGE and its downstream pathway may be a potential pathway for DBD intervention in DN. Further experiments confirmed that DBD reduced renal oxidative stress by modulating the AGEs/RAGE pathway. Moreover, 21 differential carbonyl compounds were detected between normal and DN mice, and DBD significantly modulated 16. Ultimately, seven components were screened out in DBD, which may be the main components of DBD regulating carbonyl compounds metabolic profile and AGEs/RAGE pathway.

Our findings suggested for the first time that DBD could regulate the carbonyl compounds metabolic profile and AGEs/RAGE signaling pathway to ameliorate DN.

This study aimed to evaluate the protective effect of soybean extract (SE) against uranium-induced lung injury in rats.

A rat lung injury model was established through nebulized inhalation of uranyl nitrate. Pretreatment with SE or sterile water (control group) by gavage for seven days before uranium exposure and until the experiment endpoints. The levels of uranium in lung tissues were detected by ICP-MS. Paraffin embedding-based hematoxylin & eosin staining and Masson's staining for the lung tissue were performed to observe the histopathological imaging features. A public database was utilized to analyze the network pharmacological association between SE and lung injury. The expression levels of proteins indicating fibrosis were measured by enzyme-linked immunosorbent assay. RNA-seq transcriptomic and LC-MS/MS targeted metabolomics were conducted in lung tissues.

Uranium levels in the lung tissues were lower in SE-pretreated rats than in the uranium-treated group. Inflammatory cell infiltration and the deposition of extracellular matrix were attenuated, and the levels of alpha-smooth muscle actin, transforming growth factor beta1, and hydroxyproline decreased in SE-pretreated rats compared to the uranium-treated group. Active ingredients of SE were related to inflammation, oxidative stress, and drug metabolism. A total of 67 differentially expressed genes and 39 differential metabolites were identified in the SE-pretreated group compared to the uranium-treated group, focusing on the drug metabolism-cytochrome P450, glutathione metabolism, IL-17 signaling pathway, complement, and coagulation cascades.

These findings suggest that SE may ameliorate uranium-induced pulmonary inflammation and fibrosis by regulating glutathione metabolism, chronic inflammation, and immune regulation.

Metabolic reprogramming is a pivotal biological process in which cellular metabolic patterns change to meet the energy demands of increased cell growth and proliferation. In this review, we explore metabolic reprogramming and its impact on fibrotic diseases, providing a detailed overview of the key processes involved in the metabolic reprogramming of renal fibrosis, including fatty acid decomposition and synthesis, glycolysis, and amino acid catabolism. In addition, we report that Chinese medicine ameliorates renal inflammation, oxidative stress, and apoptosis in chronic kidney disease by regulating metabolic processes, thereby inhibiting renal fibrosis. Furthermore, we reveal that multiple targets and signaling pathways contribute to the metabolic regulatory effects of Chinese medicine. In summary, this review aims to elucidate the mechanisms by which Chinese medicine inhibits renal fibrosis through the remodeling of renal cell metabolic processes, with the goal of discovering new therapeutic drugs for treating renal fibrosis.

Natural products are a treasure trove for drug discovery, especially in the areas of infection, inflammation and cancer, due to their diverse bioactivities and complex, and varied structures. Chronic inflammation is closely related to many diseases, including complex diseases such as cancer and neurodegeneration. Improving target identification for natural products contributes to elucidating their mechanism of action and clinical progress. It also facilitates the discovery of novel druggable targets and the elimination of undesirable ones, thereby significantly enhancing the productivity of drug discovery and development. Moreover, the rise of polypharmacological strategies, considered promising for the treatment of complex diseases, will further increase the demand for target deconvolution. This review underscores strategies for identifying natural product targets (NPs) in the context of chronic inflammation over the past 5 years. These strategies encompass computational methodologies for early target discovery and the anticipation of compound binding sites, proteomics-driven approaches for target delineation and experimental biology techniques for target validation and comprehensive mechanistic exploration.

Lanxangia tsaoko (L. tsaoko) is a natural medicine which could be used to treat type 2 diabetes mellitus (T2DM). However, there is no systematic and comprehensive research on the its active compounds and mechanism. This study aimed to investigate the active ingredients and potential mechanism of L. tsaoko for the treatment of T2DM. The chemical constituents of L. tsaoko were identified by UPLC-Q-Exactive Orbitrap/MS. The active compounds and mechanism of L. tsaoko were predicted by network pharmacology. Then the docking modes of key components and core targets were analyzed by molecular docking. Finally, animal experiments were conducted to verify the efficacy and targets of L. tsaoko in T2DM treatment. 70 compounds from L. tsaoko were identified. We obtained 37 active components, including quercetin, genistein and kaempferol, 5 core targets were AKT1, INS, TP53, TNF and IL-6. Mainly involved in PI3K/Akt, MAPK, RAGE/AGE, HIF-1, FoxO signaling pathways. Molecular docking results showed that the L. tsaoko had good binding potential to TNF. Therefore, we took the inflammatory mechanism as the prediction target for experimental verification. Animal experiments showed that L. tsaoko could alleviated colon injury of T2DM mice, improve glucose metabolism and decrease inflammatory levels. L. tsaoko exerted therapeutic effects on T2DM through multi-component, multi-target and multi-pathway regulation. Its action mechanisms were related to PI3K/Akt, MAPK, RAGE/AGE, HIF-1 and FoxO signaling pathways. This study provided new insights for the clinical treatment of T2DM.

Angelicae sinensis radix (ASR) and Angelicae pubescentis radix (APR), as traditional herbal medicines, are often confused and doped in the material market. However, the traditional identification method is to characterize the whole herb with a single or a few components, which do not have representation and cannot realize the effective utilization of unknown components. Consequently, the result is not convincing. In addition, the whole process is time-consuming and labor-intensive. To avoid the confusion and adulteration of ASR and APR as well as to strengthen quality control and improve identification efficiency, in this study, a UHPLC-QTOF-MSE method was used to analyze ASR and APR. Based on digital representation, the shared data with high ionic strength were extracted from different batches of the same herbal medicine as their "digital identity". Further, the above "digital identity" was used as the benchmark for matching and identifying unknown samples to feedback on matching credibility (MC). The results showed that based on the "digital identities" of ASR and APR, the digital identification of two herbal samples can be realized efficiently and accurately at the individual level. And the matching credibility (MC) was higher than 94.00%, even if only 1% of APR or ASR in the mixed samples can still be identified efficiently and accurately. The study is of great practical significance for improving the efficiency of the identification of ASR and APR, cracking down on adulterated and counterfeit drugs, and strengthening the quality control of ASR and APR. In addition, it has important reference significance for developing nontargeted digital identification of herbal medicines at the individual level based on UHPLC-QTOF-MSE and "digital identity", which is beneficial to the construction of digital Chinese medicine and digital quality control.

Herbal medicines are frequently blended in the form of multi-drug combinations primarily based on the precept of medicinal compatibility, to achieve the purpose of treating diseases. However, due to the lack of appropriate techniques and the multi-component and multi-target nature of Chinese medicine compounding, it is tough to explain how the drugs interact with each other. As a rising discipline, cyber pharmacology has formed a new approach characterized by using holistic and systematic "network targets" via the cross-fertilization of computer technology, bioinformatics, and different multidisciplinary disciplines. It can broadly screen the active ingredients of traditional Chinese medicine, enhance the effective utilization of drugs, and elucidate the mechanism of drug action. We will overview the principles of Chinese medicine compounding and dispensing, the research methods of network pharmacology, and the software of network pharmacology in the lookup of compounded Chinese medicines, aiming to supply thoughts for the better application of network pharmacology in the research of Chinese medicines.

Diabetic nephropathy (DN) is a typical chronic microvascular complication of diabetes, characterized by proteinuria and a gradual decline in renal function. At present, there are limited clinical interventions aimed at preventing the progression of DN to end-stage renal disease (ESRD). However, Chinese herbal medicine presents a distinct therapeutic approach that can be effectively combined with conventional Western medicine treatments to safeguard renal function. This combination holds considerable practical implications for the treatment of DN.

This review covers commonly used Chinese herbal remedies and decoctions applicable to various types of DN, and we summarize the role played by their active ingredients in the treatment of DN and their mechanisms, which includes how they might improve inflammation and metabolic abnormalities to provide new ideas to cope with the development of DN.

With the keywords "diabetic nephropathy," "Chinese herbal medicine," "clinical effectiveness," and "bioactive components," we conducted an extensive literature search of several databases, including PubMed, Web of Science, CNKI, and Wanfang database, to discover studies on herbal formulas that were effective in slowing the progression of DN. The names of the plants covered in the review have been checked at MPNS (http://mpns.kew.org).

This review demonstrates the superior total clinical effective rate of combining Chinese herbal medicines with Western medicines over the use of Western medicines alone, as evidenced by summarizing the results of several clinical trials. Furthermore, the review highlights the nephroprotective effects of seven frequently used herbs exerting beneficial effects such as podocyte repair, anti-fibrosis of renal tissues, and regulation of glucose and lipid metabolism through multiple signaling pathways in the treatment of DN.

The potential of herbs in treating DN is evident from their excellent effectiveness and the ability of different herbs to target various symptoms of the condition. However, limitations arise from the deficiencies in interfacing with objective bioindicators, which hinder the integration of herbal therapies into modern medical practice. Further research is warranted to address these limitations and enhance the compatibility of herbal therapies with contemporary medical standards.

Diabetic foot ulcer (DFU) is a predominant complication of diabetes mellitus with poor prognosis accompanied by high amputation and mortality rates. Dang-Gui-Si-Ni decoction (DSD), as a classic formula with a long history in China, has been found to improve DFU symptoms. However, mechanism of DSD for DFU therapy remains unclear with no systematic elaboration. In vivo, following establishment of DFU rat model, DSD intervention with low, medium and high doses was done, with Metformin (DM) as a positive control group. With wound healing detection, pathological changes by HE staining, inflammatory factor expression by ELISA and qRT-PCR, oxidative stress levels by ELISA, and AGEs/RAGE/TGF-β/Smad2/3 expression by Western blot were performed. In vitro, intervention with LY2109761 (TGF-β pathway inhibitor) based on DSD treatment in human dermal fibroblast-adult (HDF-a) cells was made. Cell viability by CCK8, migration ability by cell scratch, apoptosis by flow cytometry, and AGEs/RAGE/TGF-β/Smad2/3 expression by Western blot were measured. DFU rats exhibited elevated AGEs/RAGE expression, whereas decreased TGF-β1 and p-Smad3/Smad3 protein expression, accompanied by higher IL-1β, IL-6, TNF-α levels, and oxidative stress. DSD intervention reversed above effects. Glucose induction caused lower cell viability, migration, TGF-β1 and p-Smad3/Smad3 protein expression, with increased apoptosis and AGEs/RAGE expression in HDF-a cells. These effects were reversed after DSD intervention, and further LY2109761 intervention inhibited DSD effects in cells. DSD intervention may facilitate wound healing in DFU by regulating expression of AGEs/RAGE/TGF-β/Smad2/3, providing scientific experimental evidence for DSD clinical application for DFU therapy.

Persicaria capitata (Buch.-Ham. ex D.Don) H.Gross (P. capitata, PCB), a traditional drug of the Miao people in China, is potential traditional drug used for the treatment of diabetic nephropathy (DN).

The purpose of this study is to investigate the function of P. capitata and clarify its protective mechanism against DN.

We induced DN in the Guizhou miniature pig with injections of streptozotocin, and P. capitata was added to the pigs' diet to treat DN. In week 16, all the animals were slaughtered, samples were collected, and the relative DN indices were measured. 16S rRNA sequencing, metagenomics, metabolomics, RNA sequencing, and proteomics were used to explore the protective mechanism of P. capitata against DN.

Dietary supplementation with P. capitata significantly reduced the extent of the disease, not only in term of the relative disease indices but also in hematoxylin-eosin-stained tissues. A multiomic analysis showed that two microbes (Clostridium baratii and Escherichia coli), five metabolites (oleic acid, linoleic acid, 4-phenylbutyric acid, 18-β-glycyrrhetinic acid, and ergosterol peroxide), four proteins (ENTPD5, EPHX1, ARVCF and TREH), four important mRNAs (encoding ENTPD5, EPHX1, ARVCF, and TREH), six lncRNAs (TCONS_00024194, TCONS_00085825, TCONS_00006937, TCONS_00070981, TCONS_00074099, and TCONS_00097913), and two circRNAs (novel_circ_0001514 and novel_circ_0017507) are all involved in the protective mechanism of P. capitata against DN.

Our results provide multidimensional theoretical support for the study and application of P. capitata.

Despite its effectiveness in treating diabetic cardiomyopathy (DCM), Qigui Qiangxin Mixture (QGQXM) remains unclear in terms of its active ingredients and specific mechanism of action. The purpose of this study was to explore the active ingredients and mechanism of action of QGQXM in the treatment of DCM through the comprehensive strategy of serum pharmacology, network pharmacology and combined with experimental validation. The active ingredients of QGQXM were analyzed using Ultra-performance liquid chromatography coupled with quadrupole time of flight mass spectrometry (UPLC-Q/TOF-MS). Network pharmacology was utilized to elucidate the mechanism of action of QGQXM for the treatment of DCM. Finally, in vivo validation was performed by intraperitoneal injection of STZ combined with high-fat feeding-induced DCM rat model. A total of 25 active compounds were identified in the drug-containing serum of rats, corresponding to 121 DCM-associated targets. GAPDH, TNF, AKT1, PPARG, EGFR, CASP3, and HIF1 were considered as the core therapeutic targets. Enrichment analysis showed that QGQXM mainly treats DCM by regulating PI3K-AKT, MAPK, mTOR, Insulin, Insulin resistance, and Apoptosis signaling pathways. Animal experiments showed that QGQXM improved cardiac function, attenuated the degree of cardiomyocyte injury and fibrosis, and inhibited apoptosis in DCM rats. Meanwhile, QGQXM also activated the PI3K/AKT signaling pathway, up-regulated Bcl-2, and down-regulated Caspase9, which may be an intrinsic mechanism for its anti-apoptotic effect. This study preliminarily elucidated the mechanism of QGQXM in the treatment of DCM and provided candidate compounds for the development of new drugs for DCM.

Objective: This study is aimed at investigating diagnostic biomarkers associated with lipotoxicity and the molecular mechanisms underlying diabetic nephropathy (DN). Methods: The GSE96804 dataset from the Gene Expression Omnibus (GEO) database was utilized to identify differentially expressed genes (DEGs) in DN patients. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were conducted using the DEGs. A protein-protein interaction (PPI) network was established to identify key genes linked to lipotoxicity in DN. Immune infiltration analysis was employed to identify immune cells with differential expression in DN and to assess the correlation between these immune cells and lipotoxicity-related hub genes. The findings were validated using the external dataset GSE104954. ROC analysis was performed to assess the diagnostic performance of the hub genes. The Gene set enrichment analysis (GSEA) enrichment method was utilized to analyze the key genes associated with lipotoxicity as mentioned above. Result: In this study, a total of 544 DEGs were identified. Among them, extracellular matrix (ECM), fatty acid metabolism, AGE-RAGE, and PI3K-Akt signaling pathways were significantly enriched. Combining the PPI network and lipotoxicity-related genes (LRGS), LUM and ALB were identified as lipotoxicity-related diagnostic biomarkers for DN. ROC analysis showed that the AUC values for LUM and ALB were 0.882 and 0.885, respectively. The AUC values for LUM and ALB validated in external datasets were 0.98 and 0.82, respectively. Immune infiltration analysis revealed significant changes in various immune cells during disease progression. Macrophages M2, mast cells activated, and neutrophils were significantly associated with all lipotoxicity-related hub genes. These key genes were enriched in fatty acid metabolism and extracellular matrix-related pathways. Conclusion: The identified lipotoxicity-related hub genes provide a deeper understanding of the development mechanisms of DN, potentially offering new theoretical foundations for the development of diagnostic biomarkers and therapeutic targets related to lipotoxicity in DN.

Gerberae Piloselloides Herba (GPH) is derived from Gerbera piloselloides (Linn.) Cass. It is a commonly used traditional medicine in China, featured by its special bioactivities as antitussive, expectorant, anti-asthma, anti-bacterial and anti-tumor. It is often used as an effective treatment for cough and sore throat as well as bronchial asthma (BA) in China. It was demonstrated in our previous studies that GPH exerted significant effects on the treatment of BA, but its underlying mechanism remains unclear.

This study was aimed at revealing the mechanism through which GPH protects against BA.

The protective effect of GPH against BA was evaluated in a mouse model of BA induced by ovalbumin. Through integrated metabolomics and transcriptomics analysis, the most critical pathways were discovered. The effects of GPH in regulating these pathways was verified through molecular biology experiments and molecular docking.

GPH have anti-BA effects. In plasma and lung tissue, 5 and 17 differentially expressed metabolites (DEMs), respectively, showed a reversed tendency in the GPH group compared with the model group; apart from gamma-aminobutyric acid and butyrylcarnitine, these DEMs might aid in BA diagnosis. The DEMs were involved primarily in the regulation of lipid metabolism, followed by glucose metabolism and amino acid metabolism. Transcriptomic analysis indicated that GPH modulated 268 differentially expressed genes (DEGs). Integration analysis of metabolomics and transcriptomics revealed that GPH might regulate the PPAR signaling pathway, thus affecting the expression of key gene targets such as Cyp4a12a, Cyp4a12b, Adh7, Acaa1b and Gpat2; controlling fatty acid degradation, unsaturated fatty acid biosynthesis, glycerophospholipid metabolism and other lipid metabolic pathways; and ameliorating BA. This possibility was confirmed through reverse-transcription quantitative polymerase chain reaction, western blotting, immunofluorescence and molecular docking.

GPH was found to activate the PPAR signaling pathway, decrease the levels of Cyp4a12a and Cyp4a12b, and increase the levels of Adh7, Acaa1b and Gpat2, thereby regulating lipid metabolism disorder, decreasing the generation of inflammatory mediators and limiting lung injury.

Objective: This study aimed to assess the efficacy and safety of traditional Chinese medicine decoction as an adjunctive treatment for diabetic nephropathy in systematic evaluations. Methods: A comprehensive search was conducted in PubMed, Web of Science, Cochrane Library, Embase, China National Knowledge Infrastructure (CNKI), and Wanfang databases, covering the period from January 2013 to July 2023. The search was restricted to randomized controlled trials (RCTs) conducted within the past decade that investigated the use of TCM decoction as an adjunctive treatment for diabetic nephropathy. The control group received western medicine treatment, while the intervention group received TCM decoction in addition to the conventional treatment. Endnote and Excel were employed for literature management and data organization, and Revman 5.3 and Stata 16 software were used for the analyses. Results: 66 RCTs involving 6,951 participants were included in this study. The clinical efficacy of TCM decoction as an adjunctive treatment for diabetic nephropathy was found to be significantly higher than that of the control group (OR = 3.12, 95% CI [2.70, 3.60], I2 = 0%, p < 0.00001). The incidence of adverse events did not differ significantly between the intervention group and the control group (OR = 0.94, 95% CI [0.60, 1.48], I2 = 0%, p = 0.94). According to the secondary outcomes of renal function and blood glucose indicators, the intervention group showed better therapeutic efficacy compared to the control group. The most frequently used TCM categories were tonifying medicine, blood-activating medicine, astringent medicine, diuretic medicine, heat-clearing medicine, and laxative medicine. Among them, the top five frequently used Chinese medicine were Astragalus mongholicus Bunge [Fabaceae; Astragali mongholici radix](58 times), Salvia miltiorrhiza Bunge [Lamiaceae; Radix et rhizoma salviae miltiorrhizae] (42 times), Dioscorea oppositifolia L. [Dioscoreaceae; Dioscoreae rhizoma] (38 times), Poria cocos (Schw.) Wolf [Polyporaceae; Poria] (38 times), and Cornus officinalis Siebold & Zucc. [Cornaceae; Corni fructus] (35 times). Conclusion: The combined use of TCM decoction with western medicine in the treatment of diabetic nephropathy can enhance clinical effectiveness and 2 This is a provisional file, not the final typeset article achieve superior therapeutic effects in comparison to western medicine alone, without significant risks. Systematic Review Registration: https://www.crd.york.ac.uk/PROSPERO/#recordDetails, identifier [CRD42022529144].

Danggui Buxue Decoction (DBD) is a clinically proven, effective, classical traditional Chinese medicine (TCM) formula for treating blood deficiency syndrome (BDS). However, its effects and effective constituents in the treatment of BDS remain unclear, limiting precise clinical therapy and quality control. This study aimed to accurately evaluate the effects of DBD and identify its effective constituents and quality markers.

BDS was induced in rats by a combined injection of acetylphenylhydrazine and cyclophosphamide, and the efficacy of DBD against BDS was evaluated based on body weight, body temperature, energy metabolism, general status, visceral indices, histopathology, biochemical markers, and metabolomics. The effects of DBD on urinary and serum biomarkers of BDS were investigated, and the associated metabolic pathways were analyzed via metabolomics. Guided by Chinmedomics, the effective constituents and quality markers of DBD were identified by analyzing the dynamic links between metabolic biomarkers and effective constituents in vivo.

DBD improved energy metabolism, restored peripheral blood and serum biochemical indices, and meliorated tissue damage in rats with BDS. Correlation analyses between biochemical indices and biomarkers showed that 15(S)-HPETE, LTB4, and taurine were core biomakers and that arachidonic acid, taurine, and hypotaurine metabolism were core metabolic pathways regulated by DBD. Calycosin-7-glucoside, coumarin, ferulic acid sulfate, cycloastragenol, (Z)-ligustilide + O, astragaloside IV, acetylastragaloside I, and linoleic acid were identified as effective constituents improving the hematopoietic function of the rats in the BDS model. Additionally, calycosin-7-glucoside, ferulic acid, ligustilide, and astragaloside IV were identified as quality markers of DBD.

The hematopoietic function of DBD was confirmed through analysis of energy metabolism, biochemical markers, histopathology, and metabolomics. Moreover, by elucidating effective constituents of DBD in BDS treatment, quality markers were confirmed using a Chinmedomics strategy. These results strengthen the quality management of DBD and will facilitate drug innovation.

Danggui blood-supplementing decoction (DBsD) is an herbal preparation treating several diseases including stroke. The present study sought to investigate the potential mechanism of DBsD in ischaemic stroke (IS) using network pharmacology, molecular docking, and cell experiment. Based on the protein-protein (PPI) network analysis, MAPK1 (0.51, 12), KNG1 (0.57, 28), and TNF (0.64, 39) were found with relatively good performance in degree and closeness centrality. The functional enrichment analysis revealed that DBsD contributed to IS-related biological processes, molecule function, and presynaptic/postsynaptic cellular components. Pathway enrichment indicated that DBsD might protect IS by modulating multi-signalling pathways including the sphingolipid signalling pathway. Molecular docking verified the stigmasterol-KNG1, bifendate-TNF, and formononetin-MAPK1 pairs. Cell experiments confirmed the involvement of KNG1 and sphingolipid signalling pathway in hippocampal neuronal cell apoptosis. This study showed that DBsD can protect neuronal cell injury after IS through multiple components, multiple targets, and multiple pathways.

Diabetes mellitus has become a major public health issue globally, putting an enormous burden on global health systems and people. Among all diseased groups, a considerable part of patients are elderly, while their clinical features, pathogenic processes, and medication regimens are different from patients of other ages. Despite the availability of multiple therapies and techniques, there are still numerous elderly diabetes patients suffering from poor blood glucose control, severe complications, and drug adverse effects, which negatively affect the quality of life in their golden years. Traditional Chinese Medicine (TCM) has been widely used in the treatment of diabetes for several decades, and its relevant clinical practice has confirmed that it has a satisfactory effect on alleviating clinical symptoms and mitigating the progression of complications. Chinese herbal medicine and its active components were used widely with obvious clinical advantages by multiple targets and signaling pathways. However, due to the particular features of elderly diabetes, few studies were conducted to explore Traditional Chinese Medicine intervention on elderly diabetic patients. This study reviews the research on clinical features, pathogenic processes, treatment principles, and TCM treatments, hoping to provide fresh perspectives on the prevention and management strategies for elderly diabetes.

The dysregulation of NF-κB signaling activity plays an important role in the pathogenesis of diabetic retinopathy (DR). This study explored the association between NEDD4L and IκBα in DR.

The rat model of diabetes was established and altered retinal vascular permeability in these rats was examined through an Evans blue dye assay. A range of glucose concentrations were used to treat retinal vascular endothelial cells (RVECs). The cells viability and apoptosis were assessed through MTT and flow cytometry, while shifts in cell permeability were examined by transendothelial resistance (TEER) and FITC dextran assay. The interaction of NEDD4L and IκBα was tested by Co-IP, while mRNA and protein levels were assessed via qPCR and Western blotting, respectively.

High glucose suppressed proliferative activity of RVECs, and promoted apoptosis and the protein level of NEDD4L and NF-κB p65, but decreased IκBα. NEDD4L knockdown reversed the changes in inflammation, oxidative stress, and permeability in RVECs exposed to high glucose. Similarly, NEDD4L silencing reverted observed TEER decreases, increased monolayer permeability to FITC dextran, and ZO-1 and Claudin-5 downregulation in response to high glucose. Conversely, the impact of NEDD4L overexpression was reversed by the NF-κB inhibitor PDTC treatment. NEDD4L induced the ubiquitination of IκBα in an IKK-2-dependent manner. Moreover, siNEDD4L treatment alleviated the symptoms of DR through the inactivation of NF-κB signaling in vivo.

NEDD4L could enhance inflammation, oxidative stress, and permeability in the retinal vascular endothelium by facilitating the ubiquitination of IκBα in an IKK-2-dependent manner. Our results support a role for NEDD4L in the pathogenesis of DR.

Astragali Radix (AR) is a common Chinese medicine and food. This article aims to reveal the active role of AR in treating Type 2 diabetes mellitus (T2DM) and its renal protective mechanism. The hypoglycemic active fraction was screened by α-glucosidase and identified by UPLC-QE-Orbitrap-MS spectrometry. The targets and KEGG pathway were determined through the application of network pharmacology methodology. Molecular docking and molecular dynamics simulation technology were used for virtual verification. Subsequently, a mouse model of T2DM was established, and the blood glucose and renal function indexes of the mice after administration were analyzed to further prove the pharmacodynamic effect and mechanism of AR in the treatment of T2DM. HA was determined as the best hypoglycemic active fraction by the α-glucosidase method, with a total of 23 compounds identified. The main active components, such as calycoside-7-O-β-D-glucoside, methylnisoline, and formononetin, were revealed by network pharmacology. In addition, the core targets and the pathway have also been determined. Molecular docking and molecular dynamics simulation techniques have verified that components and targets can be well combined. In vivo studies have shown that AR can reduce blood sugar levels in model mice, enhance the anti-inflammatory and antioxidant activities of kidney tissue, and alleviate kidney damage in mice. And it also has regulatory effects on proteins such as RAGE, PI3K, and AKT. AR has a good therapeutic effect on T2DM and can repair disease-induced renal injury by regulating the RAGE/PI3K/Akt signaling pathway. This study provides ideas for the development of new drugs or dietary interventions for the treatment of T2DM.

GuangChenpi (GCP), the dried pericarps of Citrus reticulata 'Chachi', has been consumed daily as a food and dietary supplement in China for centuries. Its health benefits are generally recognized to be dependent on storage time. However, the specific roles of microorganisms and metabolites during long-term storage are still unclear. In this study, comparative metabolomics and high-throughput sequencing techniques were used to investigate the effects of co-existing microorganisms on the metabolites in GCP stored from 1 to 30 years. In total, 386 metabolites were identified and characterized. Most compounds were flavonoids (37%), followed by phenolic acids (20%). Seventeen differentially upregulated metabolites were identified as potential key metabolites in GCP, and 8 of them were screened out as key active ingredients by Venn diagram comparative analyses and verified by network pharmacology and molecular docking. In addition, long-term storage could promote the accumulation of secondary metabolites. Regarding the GCP microbiota, Xeromyces dominated the whole 30-year aging process.Moreover, Spearman correlation analysis indicated that Bacillus thuringiensis and Xeromyces bisporus, the dominant bacterial and fungal species, were strongly associated with the key active metabolites. Our results suggested that the change of active ingredients caused by the dominant microbial is one of the mechanisms affecting the GCP aging process. Our study provides novel functional insights and research perspectives on microorganism-associated metabolite changes that may improve the GCP aging process.

Diabetic nephropathy (DN) is one of the serious complications of diabetes mellitus, primarily arising from type 2 diabetes (T2DM), and can progress to chronic kidney disease (CKD) and end stage renal disease (ESRD). The pathogenesis of DN involves various factors such as hemodynamic changes, oxidative stress, inflammatory response, and lipid metabolism disorders. Increasing attention is being given to DN caused by oxidative stress in the mitochondrial pathway, prompting researchers to explore drugs that can regulate these target pathways. Chinese herbal medicine, known for its accessibility, rich historical usage, and remarkable efficacy, has shown promise in ameliorating renal injury caused by DN by modulating oxidative stress in the mitochondrial pathway. This review aims to provide a reference for the prevention and treatment of DN. Firstly, we outline the mechanisms by which mitochondrial dysfunction impairs DN, focusing on outlining the damage to mitochondria by oxidative stress. Subsequently, we describe the process by which formulas, herbs and monomeric compounds protect the kidney by ameliorating oxidative stress in the mitochondrial pathway. Finally, the rich variety of Chinese herbal medicine, combined with modern extraction techniques, has great potential, and as we gradually understand the pathogenesis of DN and research techniques are constantly updated, there will be more and more promising therapeutic targets and herbal drug candidates. This paper aims to provide a reference for the prevention and treatment of DN.