Skip to main content
Springer logoLink to Springer
. 2026 Jun 22;80(4):1093–1141. doi: 10.1007/s11418-026-02046-1

Huyan-I formula attenuates renal senescence and fibrosis by inhibiting STAT3/NF-κB/NLRP3-driven SASP

Kaizhi Wen 1, Xiaofan Yin 1, Lingling Sun 1, Kena Yu 1, Liyan Huang 1, Qing Song 1, Buhui Liu 4, Xinyuan Cui 5, Yue Tu 3,✉, Weiming He 2,✉
PMCID: PMC13350129  PMID: 42329338

Abstract

The Huyan-I formula (HY-I), a patented six‑herb traditional Chinese medicine used clinically at Jiangsu Provincial Hospital of TCM for early‑stage chronic kidney disease (CKD), has demonstrated therapeutic efficacy; however, its molecular mechanisms remain unclear. Given the central role of cellular senescence and fibrosis in CKD progression, particularly through the senescence‑associated secretory phenotype (SASP), this study investigated whether HY-I ameliorates renal senescence and fibrosis by modulating SASP‑related signaling. By UPLC‑Q‑TOF–MS analysis, 211 components were identified in HY‑I, and 29 prototype compounds plus 19 metabolites were detected in the serum of HY‑I‑treated mice. Network pharmacology and molecular docking predictions indicated interactions with the STAT3/NF‑κB/NLRP3/SASP axis. In naturally aged mice and in D‑galactose‑induced senescent human renal tubular (HK‑2) cells treated with HY-I or resveratrol (positive control), HY-I significantly reduced senescent cell burden and senescence markers, suppressed activation of STAT3, NF‑κB, and NLRP3, downregulated SASP expression, and improved tubular injury and renal fibrosis as assessed by Western blot, immunohistochemistry, multiplex immunofluorescence, and histopathological staining (HE, Masson, PAS). These findings demonstrate that HY-I alleviates renal aging and fibrosis by inhibiting the STAT3/NF‑κB/NLRP3 pathway and attenuating the SASP, thereby providing a mechanistic basis for its clinical application in CKD.

Graphical abstract

graphic file with name 11418_2026_2046_Figa_HTML.jpg

Keywords: HY-I Formula, Kidney aging, SASP, Network pharmacology, STAT3/NFκ-B/NLRP3 signaling pathway

Introduction

Chronic kidney disease (CKD) represents a major global public health challenge, affecting approximately 10% of the world’s population [1]. Beyond its association with aging and morbidity, intrinsic renal aging processes significantly increase susceptibility to CKD progression in the elderly [2].

Renal fibrosis, characterized by excessive extracellular matrix (ECM) accumulation in glomeruli, tubulointerstitium, and vasculature, is a hallmark pathological feature of CKD that ultimately leads to end-stage kidney disease (ESKD) [3]. Substantial evidence implicates cellular senescence as a key driver of renal aging and fibrosis [4]. Senescent cells accumulate in aged and diseased kidneys, secreting a senescence-associated secretory phenotype (SASP) that includes proinflammatory cytokines (IL-1β, IL-6), chemokines (IL-8, MCP-1), growth factors (TGF-β, VEGF), and proteases. These SASP components collectively promote fibrosis by inducing tubular epithelial injury, fibroblast activation, ECM degradation, and fibrous deposition.

Transcriptional regulation of SASP involves complex signaling networks. NF-κB serves as a master regulator of inflammatory responses, upregulating proinflammatory genes and chemokine-mediated immune cell recruitment [5]. NLRP3 inflammasome assembly, triggered by NF-κB, activates caspase-1 to process IL-1β/IL-18 [6]. STAT3 synergizes with NF-κB to amplify SASP transcription through IL-6 and NLRP3 upregulation [7].

Resveratrol, a natural polyphenol with documented anti-senescence and anti-inflammatory effects, inhibits NF-κB and STAT3 signaling and NLRP3 activation [8]. Notably, it rescues renal function in aging models and CKD settings [9], serving as our positive control for evaluating HY-I’s effects on senescence.

Traditional Chinese Medicine (TCM) formulas like HY-I offer multi-component, multi-target therapeutic strategies. HY-I contains six herbs: Astragali Radix, Abelmoschi Corolla, Centellae Herba, Salviae Miltiorrhizae Radix et Rhizoma, Glycyrrhizae Radix et Rhizoma, and Cordyceps mycelia. This patented formula, derived from Jiangsu nephropathy therapies, significantly reduces serum creatinine/Cystatin-C and improves eGFR in stage 2–3 CKD patients.

In this study, we identified HY-I’s bioactive serum components and predicted targets via network pharmacology. Using naturally aged mice and D-galactose-induced tubular senescence models, we investigated HY-I’s renoprotective effects and SASP-related mechanisms.

Material and methods

Preparation of HY-I and drug-containing serum

HY-I contains six medicinal components: Astragalus membranaceus (15 g), Abelmoschus Manihot (15 g), Centella asiatica (15 g), Salvia miltiorrhiza (10 g), Glycyrrhiza uralensis (4 g), and Mortierella sp. mycelia powder (3.75 g). All crude materials were authenticated by a medicinal plant identification specialist at Jiangsu Provincial Hospital of Traditional Chinese Medicine.

This formula was patent-certified. According to the Chinese patent (ZL202311543505.8), the individual herbal components were mixed in the specified proportions, decocted in water, and concentrated to a density of 1.25 g/ml.

Based on a standard adult dose (60 kg body weight), the equivalent mouse dose was calculated as 2.7 g/kg/day after adjustment for body surface area differences (using a standard conversion factor). Experimental groups received either this equivalent dose or a double dose. HY-I was dissolved in distilled water and administered via intragastric gavage.

For serum preparation, 4-month-old male C57BL/6 mice were administered HY-I at a dose of 2.7 g/kg daily for 7 consecutive days. Blood was collected 1.5 h after the final administration. Serum was separated and heat-inactivated at 56°C for 30 min.

Animal study and dosing regimen

8 2-month-old and 32 18-month-old male C57BL/6 mice were purchased from Huachuang Sino Technology Co., Ltd. (Jiangsu, China). All animals were housed under specific pathogen-free conditions at Nanjing University of Chinese Medicine, with controlled temperature at 25 °C, humidity at 45%, and a 12-h light/dark cycle. The study protocol received approval from the Institutional Animal Ethics Committee of Nanjing University of Chinese Medicine under approval number 202411A022, with all procedures complying with animal research guidelines.

The eight 2-month-old mice served as the young control group. 18-month-old mice were randomly divided into four experimental groups:

Aging group: no treatment;

HY-I low-dose group receiving 2.7 g/kg/d HY-I;

HY-I high-dose group receiving 5.4 g/kg/d HY-I.

Resveratrol group receiving 40 mg/kg resveratrol (B20044, Orileaf, Shanghai).

All drugs were administered once daily via intragastric gavage for a period of two months. At the end of the intervention period, mice were anesthetized with 3% isoflurane for blood collection and then humanely euthanized by CO₂ inhalation. Serum, urine, and kidney tissue samples were collected from the mice.

Identification of HY-I by UPLC-Q-TOF–MS

UPLC method for qualitative analysis

Thermo-Obritrap-QE-MS was used for quality control and chemical component identification of HY-I and its drug-containing serum. Qualitative analysis was performed on ACQUITY UPLC I-Class and the ACQUITY UPLC HSS T3 (100 mm × 2.1 mm, 1.8 µm) was used in the system. The PDA detector has a scanning range of 210—240 nm and is model ACQUITY UPLC. The column temperature was set to 45 ℃, the flow rate was set to 0.35 mL/min, the injection volume was 5 μL, and water containing 0.1% formic acid (A) and acetonitrile (B) was used as the mobile phase. The optimal linear gradient elution conditions were shown in Table 1.

Table 1.

The mobile phase gradient

Time (min) A% (0.1% aqueous formic acid) B% (acetonitrile)
0 95 5
2 95 5
4 70 30
8 50 50
10 20 80
14 0 100
15 0 100
15.1 95 5
16 95 5

UPLC-MS method for qualitative analysis

The UPLC-MS/MS analysis was conducted on a Thermo-Obritrap-QE HF mass spectrometer equipped. A detection mode was ESI-Negative and Positive ion mode, and the mass spectrometer parameters were set as Table 2.

Table 2.

Mass parameters

MS parameter ESI-negative ESI-positive
Spray voltage (V) 3800 −3200
Capillary temperature (°C) 320 320
Aux gas heater temperature (℃) 350 350
Sheath gas flow rate (Arb) 35 35
Aux gas flow rate (Arb) 8 8
S-lens RF level 50 50
Mass range (m/z) 100–1500 100–1500
Full ms resolution 60,000 60,000
MS/MS resolution 15,000 15,000
NCE/stepped NCE 10, 20, 40 10, 20, 40

Data processing

The UHPLC-MS/MS mode was applied with an Orbitrap resolution of 60,000 for full-MS and 15,000 for dd-MS2. The raw data was analyzed by Xcalibur3.0 software. Prior to pattern recognition, the raw data were processed using the metabolomics software Progenesis QI v3.0 (Nonlinear Dynamics, Newcastle, UK) for baseline filtering, peak identification, integration, retention time correction, peak alignment, and normalization. Compound identification was performed based on accurate mass, MS/MS fragments, and isotopic distribution patterns, with qualitative analysis conducted using the TCM database. The Traditional Chinese Medicine (TCM) database is a specialized repository meticulously developed for plant specimens. It encompasses comprehensive information on more than 5,000 reference standards of TCM components. These reference standards were procured from esteemed suppliers, including Chengdu Le Meitian Pharmaceutical Technology Co., Ltd. and Shanghai Yuanye Biotechnology Co., Ltd.

Compounds are initially screened based on a mass deviation not exceeding 5 ppm and a database match score higher than 50%. Finally, compounds are verified through a comparison of the parent ions and secondary fragment ions in the raw data with those reported in the literature.

Cell culture and drug treatment

HK-2 cells were cultured in DMEM/F12 medium (L310KJ, Basal Media) supplemented with 10% fetal bovine serum (FBS, catalog 10,099—141C, Gibco) at 37 °C under 5% CO₂.

Cells were treated with varying concentrations of D-galactose (catalog D8310, Solarbio), HY-I-containing serum, or 10 μM resveratrol (catalog B20044, Orileaf) as the positive control group. Cell viability was assessed using CCK-8 Kit (BMU106-CN, Abbkine).

Western blot

Cellular and renal homogenates were lysed using RIPA buffer. Proteins were separated by electrophoresis on 4–12% SDS-PAGE gels and transferred to PVDF membranes (MIPVH0010, Millipore, USA). Membranes were incubated with appropriate primary and secondary antibodies, followed by detection with ECL reagent (P90720, Millipore USA) and visualization using a gel imaging system (LAS 4000, FUJIFILM, Japan).

For membrane reprobing, PVDF membranes were incubated with western blot stripping buffer (WB6500, New Cell & Molecular Biotech, Suzhou, China) at room temperature for 20 min. After PBST washing, membranes were re-incubated with antibodies and re-detected as described above. The list of antibodies is provided in Table 6.

Table 6.

The main antibodies used in the present study

Reagent Manufacturer Item no
Protein ladder (1—180 kDa) Thermo Fisher Scientific 26616
Anti-Ki-67 (D3B5) Rabbit mAb Cell Signaling Technology 9129S
Anti-p21 Rabbit pAb Wanlei bio WL0362
Anti-β-actin antibody Abcam ab179467
Anti-p16 Rabbit pAb Abcam ab51243
Anti-TGFβ1 Rabbit pAb Abclona A15103
Anti-IL-1B Rabbit pAb Wanlei bio WL02257
Anti-STAT3 Rabbit pAb Wanlei bio WL01836
Anti-p-STAT3 Rabbit pAb Wanlei bio WLP0624
Anti-NF-κB Rabbit pAb Wanlei bio WL01980
Anti- p-NF-κB Rabbit pAb Wanlei bio WL02169
Anti-NLRP3 Rabbit pAb Abmart p60622r3f
Anti-Caspase-1/Cleaved Caspase-1 Rabbit pAb Wanlei bio WL03450
Anti-IL18 Rabbit pAb Wanlei bio WL01127
Anti-FN/Fibronectin Rabbit pAb Wanlei bio WL00712a
Anti-Collagen1 Rabbit pAb Abclonal- A1352
Anti-Vimentin Rabbit pAb Abcam ab8978
α-smooth muscle actin rabbit mAb Abclonal A17910
Anti-rabbit IgG, HRP-linked Antibody Cell signaling technology 7074S
Anti-mouse IgG, HRP-linked Antibody Cell signaling technology 7076S

Renal histopathological staining

Paraffin-embedded mouse renal sections underwent xylene deparaffinization and ethanol gradient rehydration, followed by staining with H&E (G1120,Solarbio,China), PAS (G1280,Solarbio,China), and Masson’s trichrome (G1340, Solarbio,China) according to the manufacturer’s protocol for fibrosis assessment.

Immunofluorescence and immunohistochemistry

For IHC, antigen retrieval was performed in citrate or EDTA buffer. Endogenous peroxidase was quenched with H₂O₂, followed by BSA blocking. Primary antibodies were applied at 4°C overnight. After PBS washing, secondary antibodies were incubated for 1 h at room temperature. Signal detection used DAB.

For IF, tissues fixed in 4% PFA were permeabilized and subjected to multiplex staining using TSA Kit (Aifang Biological,Hunan,China). Nuclei were counterstained with DAPI. Images were acquired using a fluorescence microscope (Axio Vert A1, ZEISS).

Renal function assessment

Mouse serum and urine samples were centrifuged and analyzed using commercial kits (C035—2—1, C012—2—1, C013—2—1, C011—2—1; Jiancheng, Nanjing, China) for creatinine, uric acid, blood urea nitrogen, and urinary protein according to manufacturer’s instructions.

ELISA assays

SASP-related factors were quantified using ELISA kits: IL-6 (AF2163-A), TGFβ1 (AF2135-A), TNFα (AF2132-A), IL-1β (AF2040-A) from Aifang Biological, MMP-9(E-EL-M3052), GDF15(E-EL-M0604) from Elabscience Biological. Renal homogenates were incubated with detection reagents per protocol. After TMB substrate incubation at 37 °C for 15 min, reactions were stopped and absorbance measured at 450 nm.

SA-β-gal activity staining

Cryosections (8 μm) and cultured cells were stained using SA-β-gal staining kit (C0602, Beyotime, Shanghai, China) with nuclear fast red counterstain (G1320,Solarbio,Beijing,China) for tissue sections.

Establishment of a compound-target network

Collection of the targets

Targets of ingredients: The Canonical SMILES format of the HY-I ingredients was downlorded from PubChem (https://pubchem.ncbi.nlm.nih.gov/). The potential targets for these ingredients were searched through the Swiss Target Prediction (http://swisstargetprediction.ch/).

Targets of kidney aging: kidney aging targets were identified using several databases, Gene Cards (https://www.genecards.org/), OMIM (https://omim.org/), Drug Bank (https://go.drugbank.com/), taking “kidney aging” as the search term. The targets gathered from these databases were subsequently merged, and any duplicate entries were eliminated. UniProt (https://www.uniprot.org) was employed to convert the targets into standardized Gene Symbols. Finally, the online Venn diagram website, Venny 2.1 (https://bioinfogp.cnb.csic.es/tools/ venny/index.html), was utilized to visually represent a Venn diagram that described the intersection of HY-I and kidney aging. A compound-target network, based on HY-I compounds and their potential targets, was visualized using Cytoscape version 3.7.1.

Protein–protein interaction (PPI) network construction

The cross-target was uploaded to the STRING (https://www.string-db.org/) database, and the species “Homo sapiens” was selected. A protein–protein interaction (PPI) network was constructed with a high confidence level > 0.4. Subsequently, the network topology was analyzed and visualized with the aid of Cytoscape version 3.7.1.

GO and KEGG pathway enrichment

The intersected targets were entered into David (https://davidbioinformatics.nih.gov/) for biofunctional enrichment and pathway enrichment analysis. In accordance with the research topic, the top 30 results were selected based on their P-values to examine their main pathways and biological processes. Visualizations were generated using R software (v4.2.3).

Molecular docking

Molecular docking studies were performed to investigate the binding interactions between the main constituents of the HY-I formulation and disease-related targets. The three-dimensional structures of these compounds were retrieved from PubChem (https://www.ncbi.nlm.nih.gov/pccompound), and the corresponding protein structures of the targets were obtained from the Protein Data Bank (https://www.rcsb.org). Molecular docking was performed using AutoDock 4.2. After docking, the conformation exhibiting the lowest binding energy and the highest frequency of recurrent binding poses was selected as the optimal result. The selected complex was subsequently imported into PyMOL 3.1 and Discovery Studio 2021 for visualization and further structural analysis. The PDB ID corresponding to each docking target is listed in Table 7.

Table 7.

Molecular Docking

Target Gene PBD ID Ligand PubChem ID Binding Energy(kcal·mol-1)
STAS3 1BG1 Phloretin 4788 −3.66
Luteolin 5280445 −5.19
Pseudolaric acid C 6440704 −5.29
18alpha-glycyrrhetinic acid 73398 −7.15
Arjunolic acid 73641 −5.25
NLRP3 6NPY Phloretin 4788 −5.18
Luteolin 5280445 −5.99
Pseudolaric acid C 6440704 −6.78
18alpha-glycyrrhetinic acid 73398 −8.82
Arjunolic acid 73641 −7.37
NFKB 1MY7 Phloretin 4788 −4.07
Luteolin 5280445 −4.83
Pseudolaric acid C 6440704 −5.59
18alpha-glycyrrhetinic acid 73398 −7.16
Arjunolic acid 73641 −5.46

Molecular Dynamics MD simulations were carried out with GROMACS 2022.3. The CHARMM36 force field described the proteins, and ligand parameters were derived from the CGenFF server. Each protein–ligand complex was centered in a 1.0‑nm cubic box filled with TIP3P water. NaCl was added to 0.15 M, and counterions neutralized the system.

Initial energy minimization used the steepest descent method (5000 steps, 0.01‑nm step size). The system was then equilibrated for 100 ps under NVT at 310 K (V‑rescale thermostat), followed by 100 ps under NPT at 1 bar (Parrinello–Rahman barostat). Bond lengths were constrained via LINCS. A 1.2‑nm cutoff was applied for non‑bonded interactions, and PME handled long‑range electrostatics.

Production runs lasted 100 ns with a 1 fs time step, saving coordinates every 10 ps. Each complex was simulated in triplicate. The four simulated complexes were: STAT3–18α‑glycyrrhetinic acid, NLRP3–18α‑glycyrrhetinic acid, NLRP3–arjunolic acid, and NF‑κB–pseudolaric acid C.

Statistical analysis

Statistical analyses were performed using GraphPad Prism 9.0. All values were expressed as mean ± standard errors of the means (SEMs). All the data were from at least three independent experiments. Differences among multiple groups were determined by one-way analysis of variance (ANOVA) followed by Tukey’s post-hoc test. Values were considered significantly different at p < 0.05.

Results

Major and serum-absorbed constituents of HY-I

The chemical constituents of HY-I (Fig. 1A, B and Table 3) and HY-I containing serum (Fig. 1E, F and Tables 4, 5) were analyzed using ultra-high performance liquid chromatography coupled with quadrupole-Orbitrap mass spectrometry (Thermo Orbitrap QE). Based on the multistage mass spectrometry data of the samples and by referencing the natural product high-resolution mass spectrometry database, a total of 211 compounds were identified from HY-I, including 29 prototype components and 19 metabolites detected in serum (see Tables 6, 7). The following criteria were used to define blood‑absorbed components. A component was considered a blood‑absorbed prototype compound if it was present in either blank serum or drug‑containing serum, with a peak area ratio relative to blank serum ≥ FC (fold change threshold), or if the peak was undetectable in blank serum. A component detected in drug‑containing serum and verified by mass spectrometry as a metabolite of a prototype compound was designated as a blood‑absorbed metabolite.

Fig. 1.

Fig. 1

Major and serum-absorbed constituents of HY-I. Typical total ion chromatograms (TIC) in both positive and negative ion modes. TIC chromatograms of HY-I in positive (A) and negative (B) ion modes. TIC chromatograms of Blank serum in positive (C) and negative (D) ion modes. TIC chromatograms of HY-I medicated serum in positive (E) and negative (F) ion modes

Table 3.

Identification of chemical constituents of HY-I based on Thermo-Obritrap-QE

No. English name RT Formula Calc. MW Adducts Error
(ppm)
Theoretical Mass (m/z) Experimental mass (m/z) MS2 (m/z) Score Source
1 N6,N6,N6-Trimethyl-L-lysine 0.77 C9H20N2O2 188.1519 [M + H]+ −1.55 189.1598 189.1595 60.0813, 70.0656, 74.0718, 84.0812, 116.0707, 126.0916, 130.0861, 189.1346, 189.1593 53.7 /
2 Galactose 1-phosphate 0.77 C6H13O9P 260.0292 [M − H]− −1.05 259.0224 259.0222 78.959, 96.9694, 259.0216 51.6 /
3 L-Histidine 0.79 C6H9N3O2 155.0689 [M − H]− −1.01 154.0622 154.0620 93.0458, 94.9245, 96.9599, 110.0723, 137.0352, 154.0618 57.2 Glycyrrhiza uralensis Fisch、Cordycepssinensis、Astragalus membranaceus、Abelmoschus manihot
4 Maltopentaose 0.79 C30H52O26 828.2741 [M + FA-H]− 0.17 873.2729 873.2730 89.0241, 96.9599, 179.0554, 208.554, 383.1181, 827.2669 48.2 Astragalus membranaceus
5 D-mannitol 0.81 C6H14O6 182.0785 [M − H]− −1.30 181.0718 181.0715 59.0137, 71.0138, 73.0294, 85.0294, 89.0244, 101.0243, 119.0348, 163.0609, 181.0715 57.3 Cordycepssinensis
6 L-Arginine 0.81 C6H14N4O2 174.1111 [M − H]− −1.20 173.1044 173.1042 131.0824, 156.0775, 173.1052 57.7 Astragalus membranaceus, Cordycepssinensis
7 Stachyose 0.81 C24H42O21 666.2213 [M − H]− 0.20 711.2201 711.2202 89.0244, 179.056, 383.1195, 665.2175 56.7 Glycyrrhiza uralensis、Astragalus membranaceus
8 L-Asparagine 0.81 C4H8N2O3 132.0529 [M − H]− −1.39 131.0462 131.0460 73.0293, 85.0294, 88.0400, 95.0251, 103.2722, 113.0239, 113.0354, 114.0196, 115.0033, 131.0452 55.8 Glycyrrhiza uralensis Fisch、Astragalus membranaceus
9 D-Tagatose 0.83 C6H12O6 180.0628 [M − H]− −0.99 179.0561 179.0559 59.0137, 71.0137, 85.0293, 89.0244, 101.0243, 113.0242, 119.0349, 121.0437, 161.0455, 179.0551 55.1 Cordycepssinensis、Astragalus membranaceus
10 Turanose 0.85 C12H22O11 342.1157 [M − H]− −2.08 387.1145 387.1137 89.0251, 119.034, 179.0566, 341.1084 58.2 Astragalus membranaceus、Salvia miltiorrhiza Bunge、Cordycepssinensis
11 Manninotriose 0.85 C18H32O16 504.1685 [M − H]− −1.30 549.1673 549.1666 71.0138, 89.0244, 179.0558, 221.0664, 503.1614, 549.1666 57.8 Astragalus membranaceus、Salvia miltiorrhiza Bunge
12 L-Glutamic acid 0.87 C5H9NO4 147.0526 [M − H]− −1.23 146.0459 146.0457 93.8274, 95.9757, 99.4594, 102.0558, 125.5103, 126.4884, 128.0351, 140.2054, 142.9211, 146.0453 55 Glycyrrhiza uralensis Fisch、Cordycepssinensis、Astragalus membranaceus
13 D-altrofurano-heptulose-3 0.88 C7H14O7 210.0734 [M – 2OH – H]– −1.46 191.0561 191.0558 85.0295, 87.0087, 111.0087, 173.0089, 191.0211, 191.0559 55.6 /
14 Gluconic acid 0.88 C6H12O7 196.0578 [M − H]− −1.19 195.0510 195.0508 75.0087, 87.0087, 99.0087, 129.0192, 159.0296, 177.0403, 195.0507 58.5 Astragalus membranaceus、Glycyrrhiza uralensis、Cordycepssinensis
15 Sucrose 0.88 C12H22O11 342.1157 [M + Na]+ −3.44 365.1055 365.1043 185.0416, 203.052, 365.1039 56.1 Glycyrrhiza uralensis、Astragalus membranaceus
16 Malic acid 0.94 C4H6O5 134.0210 [M − H]− −1.41 133.0142 133.0141 71.0138, 72.9929, 115.0036, 133.014 52.6 Glycyrrhiza uralensis、Astragalus membranaceus、Abelmoschus manihot
17 L-Threonine 0.95 C4H9NO3 119.0577 [M + H]+ 0.32 120.0655 120.0656 56.05, 74.0605, 102.0548, 120.0557, 120.0651 54.4 Glycyrrhiza uralensis、Astragalus membranaceus、Abelmoschus manihot、Salvia miltiorrhiza Bunge
18 DL-Proline 0.95 C5H9NO2 115.0628 [M + H]+ 1.42 116.0706 116.0708 70.0656, 116.0706 67.4 Glycyrrhiza uralensis、Astragalus membranaceus、Abelmoschus manihot、Astragalus membranaceus
19 DL-Valine 0.95 C5H11NO2 117.0784 [M + H]+ 0.75 118.0863 118.0863 58.0657, 59.0735, 72.0813, 118.0863 53.2 Cordycepssinensis
20 Cytosine 0.99 C4H5N3O 111.0427 [M + H]+ 2.03 112.0505 112.0508 69.0453, 70.0656, 95.0243, 112.0506 53.6 Glycyrrhiza uralensis Fisch、Cordycepssinensis
21 Cytidine 0.99 C9H13N3O5 243.0850 [M + H]+ −2.46 244.0928 244.0922 70.0656, 112.0506, 244.0784 52.4 Cordycepssinensis
22 Valylalanine 1.01 C8H16N2O3 188.1155 [M + H]+ −2.01 189.1234 189.1230 84.0813, 118.0863, 126.0913, 129.0551, 130.0499, 130.0862, 143.1177, 144.1017, 172.0961, 189.1243 53.1 /
23 Citric acid 1.03 C6H8O7 192.0265 [M − H]− −0.90 191.0197 191.0196 85.0294, 87.0087, 111.0086, 129.019, 191.0193 60.2 Astragalus membranaceus、Glycyrrhiza uralensis Fisch、Salvia miltiorrhiza Bunge、Abelmoschus manihot
24 Pinitol 1.05 C7H14O6 194.0785 [M + FA-H]− −1.19 239.0773 239.0770 193.0703, 195.0288, 195.1377, 201.9223, 238.8911, 239.0168, 239.0230, 239.0551, 239.0626, 239.0770 53.9 Astragalus membranaceus
25 L-Pipecolic acid 1.05 C6H11NO2 129.0784 [M + H]+ −0.49 130.0863 130.0862 70.0656, 84.045, 84.0812, 130.0497, 130.086 51.8 /
26 DL-Pyroglutamic acid 1.11 C5H7NO3 129.0420 [M − H]− −1.36 257.0779 257.0776 128.0352, 239.0666, 257.0766 53 Glycyrrhiza uralensis、Cordycepssinensis、Astragalus membranaceus
27 Cyclic AMP 1.16 C10H12N5O6P 329.0520 [M − H]− −1.93 328.0452 328.0446 134.047, 328.0442 53.8 Glycyrrhiza uralensis、Cordycepssinensis、Astragalus membranaceus
28 5′-GMP 1.16 C10H14N5O8P 363.0575 [M − H]− −1.49 362.0507 362.0502 78.9589, 150.0417, 211.0005, 362.05 56.8 Cordycepssinensis
29 Cyclic GMP 1.18 C10H12N5O7P 345.0469 [M − H]− −2.41 344.0402 344.0393 133.0153, 150.0419, 344.0389 58.2 Cordycepssinensis
30 Uridine 1.22 C9H12N2O6 244.0690 [M − H]− −1.42 243.0623 243.0619 82.0297, 110.0247, 111.0195, 115.0034, 128.0352, 140.035, 152.0353, 153.0303, 200.0563, 243.0621 73.2 Glycyrrhiza uralensis、Cordycepssinensis、Astragalus membranaceus、Abelmoschus manihot
31 N-Acetyl-L-glutamic acid 1.26 C7H11NO5 189.0632 [M − H]− −0.23 188.0564 188.0564 100.0767, 102.0559, 116.0714, 126.0275, 126.0558, 128.0351, 144.0664, 146.0455, 170.0456, 188.0563 58.6 Cordycepssinensis、Astragalus membranaceus
32 Adenosine 1.27 C10H13N5O4 267.0962 [M + H]+ −2.75 268.1040 268.1033 136.0616, 268.1034 61.1 Astragalus membranaceus、Salvia miltiorrhiza Bunge、Cordycepssinensis
33 L-2-Hydroxyglutaric acid 1.36 C5H8O5 148.0366 [M − H]− −1.07 147.0299 147.0297 75.0085, 85.0292, 87.0088, 103.0393, 129.0195, 147.0296 53.5 /
34 Cordycepin 1.4 C10H13N5O3 251.1013 [M + H]+ −2.48 252.1091 252.1085 136.0615, 252.1076 65 Cordycepssinensis
35 Methylmalonic acid 1.4 C4H6O4 118.0261 [M − H]− −0.66 117.0193 117.0193 73.0295, 99.0087, 116.9284, 117.0192 57.3 /
36 Guanosine 1.46 C10H13N5O5 283.0911 [M − H]− −1.31 282.0844 282.0840 133.015, 150.042, 282.0836 55.9 Cordycepssinensis、Astragalus membranaceus、Salvia miltiorrhiza Bunge
37 L-Leucine 1.51 C6H13NO2 131.0941 [M + H]+ −0.75 132.1019 132.1018 86.097 68 Glycyrrhiza uralensis、Cordycepssinensis、Astragalus membranaceus、Abelmoschus manihot、Salvia miltiorrhiza Bunge
38 2-Methylcitric acid 1.55 C7H10O7 206.0421 [M − H]− −0.69 205.0354 205.0352 71.0501, 87.0087, 99.045, 101.0243, 111.0086, 125.0242, 187.0244, 205.035 60.7 /
39 Scandoside 1.67 C16H22O11 390.1157 [M 2OH – H]– −1.22 371.0983 371.0979 135.045, 173.0452, 179.0348, 191.0559, 197.0456, 209.03, 353.0881, 371.0988 61.3 /
40 Gallic acid 1.8 C7H6O5 170.0210 [M − H]− −0.44 169.0142 169.0142 125.0243, 169.014 64.7 Glycyrrhiza uralensis、Cordycepssinensis、Astragalus membranaceus、Abelmoschus manihot、Salvia miltiorrhiza Bunge
41 2′-O-Methyladenosine 1.94 C11H15N5O4 281.1119 [M + H]+ −2.16 282.1197 282.1191 136.0615, 282.1182 51.5 Cordycepssinensis
42 Benzaldehyde 2.28 C7H6O 106.0413 [M + H]+ 2.87 107.0491 107.0494 53.0393, 79.0547, 91.0545, 95.0497, 107.049 52.3 Cordycepssinensis
43 L-Phenylalanine 2.32 C9H11NO2 165.0784 [M − H]− −1.46 164.0717 164.0715 72.0098, 96.9601, 96.9691, 115.9205, 116.9283, 134.8943, 147.0449, 164.0338, 164.0712 57.2 Glycyrrhiza uralensis、Cordycepssinensis、Astragalus membranaceus、Salvia miltiorrhiza Bunge
44 N-(1-Deoxy-D-fructos-1—yl)-L-phenylalanine 2.36 C15H21NO7 327.1313 [M + H]+ −3.37 328.1391 328.1380 120.0808, 132.0806, 166.0859, 264.1223, 292.1171, 310.1275, 328.1378 67.9 Astragalus membranaceus
45 Ser-Leu 2.6 C9H18N2O4 218.1261 [M + H]+ −1.47 219.1339 219.1336 60.0449, 86.0968, 132.1017, 173.128, 201.122, 203.1425, 205.1583, 219.1116, 219.1333 54.5 /
46 Glycylleucine 2.6 C8H16N2O3 188.1155 [M + H]+ −0.38 189.1234 189.1233 75.0558, 84.0811, 86.0968, 98.0599, 118.0862, 129.0542, 132.1017, 143.1175, 144.0655, 189.1117 59.3 /
47 Ethylmalonic acid 2.63 C5H8O4 132.0417 [M − H]− −1.22 131.0350 131.0348 85.0297, 87.0451, 113.0243, 131.0348 53.3 /
48 2,4,6-Trihydroxybenzoic acid 2.75 C7H6O5 170.0210 [M − H]− -1.17 169.0142 169.0140 125.0244, 151.0034, 169.014 58.3 /
49 Glycylisoleucine 2.95 C8H16N2O3 188.1155 [M + H]+ −0.59 189.1234 189.1233 86.0968, 132.1017, 143.1175 57.5 /
50 Vanillic acid 4-beta-D-glucopyranoside 3.1 C14H18O9 330.0945 [M − H]− −0.93 329.0878 329.0875 108.0216, 123.0451, 152.0111, 167.0348, 329.0875 50.8 Salvia miltiorrhiza Bunge
51 Aspartyl-Leucine 3.15 C10H18N2O5 246.1210 [M + H]+ −2.03 247.1289 247.1283 141.1020, 155.1175, 166.0860, 183.1124, 187.1068, 201.1228, 212.0916, 229.1177, 247.1084, 247.1293 58.2 /
52 Glutamylleucine 3.2 C11H20N2O5 260.1367 [M + H]+ −2.37 261.1445 261.1439 84.0447, 86.0969, 102.0553, 132.1019, 197.1281, 225.124, 243.1333, 261.1235 55.7 /
53 Succinyladenosine 3.2 C14H17N5O8 383.1072 [M + H]+ −3.23 384.1150 384.1137 162.0771, 234.0609, 252.072, 384.113 60.8 Astragalus membranaceus
54 Protocatechuic acid 3.29 C7H6O4 154.0261 [M − H]− −0.98 153.0193 153.0192 109.0293, 153.0188 60.6 Glycyrrhiza uralensis、Astragalus membranaceus、Abelmoschus manihot、Salvia miltiorrhiza Bunge
55 Serylphenylalanine 3.62 C12H16N2O4 252.1105 [M + H]+ −0.98 253.1183 253.1180 60.045, 70.0657, 120.0808, 166.0859, 197.1169, 207.1123, 235.1064, 253.1189 61.4 /
56 Caftaric acid 3.71 C13H12O9 312.0476 [M − H]− −0.50 311.0409 311.0407 135.0445, 149.0087, 179.0346, 311.0385 55.9 Abelmoschus manihot
57 Glycyl-Phenylalanine 3.73 C11H14N2O3 222.0999 [M + H]+ −1.29 223.1077 223.1074 70.0656, 72.0813, 86.0969, 120.0808, 166.0859, 177.1018, 205.0969, 223.1074 61.1 /
58 Isoleucyl-Valine 3.73 C11H22N2O3 230.1625 [M + H]+ −1.42 231.1703 231.1700 72.0813, 86.0968, 132.1016, 185.1644, 231.17 60.1 /
59 Neochlorogenic acid 3.75 C16H18O9 354.0945 [M − H]− −0.92 353.0878 353.0875 135.045, 179.0348, 191.0559, 353.0875 70.7 Abelmoschus manihot、Salvia miltiorrhiza Bunge
60 Alanylphenylalanine 3.81 C12H16N2O3 236.1155 [M + H]+ −1.69 237.1234 237.1230 84.0812, 86.0969, 120.0807, 142.0494, 166.0859, 175.1225, 191.1177, 192.0650, 237.0911, 237.1236 63.4 /
61 Hydroxyphenyllactic acid 3.85 C9H10O4 182.0574 [M − H]− −0.77 181.0506 181.0505 71.0138, 72.9930, 89.0244, 101.0243, 119.0501, 135.0450, 137.0241, 163.0399, 181.0147, 181.0506 59.4 Cordycepssinensis、、Salvia miltiorrhiza Bunge
62 10-Hydroxymajoroside 3.93 C17H24O11 404.1313 [2 M-H]− 0.66 807.2564 807.2570 807.2570 41.3 Abelmoschus manihot
63 Aspartylphenylalanine 3.94 C13H16N2O5 280.1054 [M + H]+ −1.19 281.1132 281.1129 86.0967, 88.0396, 120.0807, 136.0614, 162.0408, 166.0859, 235.1072, 246.0754, 263.1020, 281.1120 57.4 /
64 N-Acetyl-L-tyrosine 3.97 C11H13NO4 223.0839 [M − H]− −0.91 222.0772 222.0770 58.0295, 107.0495, 163.0395, 178.0861, 179.0352, 180.0664, 205.0344, 222.077 56.9 /
65 4-Carboxycarbostyril 4.07 C10H7NO3 189.0420 [M + H]+ −0.73 190.0499 190.0497 144.1017, 162.0545, 190.0495 59.5 /
66 3,4-Dihydroxybenzaldehyde 4.09 C7H6O3 138.0311 [M + H]+ 0.20 139.0390 139.0390 65.039, 93.0336, 111.0442, 121.0282, 139.0387 57.1 Astragalus membranaceus
67 Cryptochlorogenic acid 4.17 C16H18O9 354.0945 [M − H]− −1.49 353.0878 353.0873 135.045, 173.0452, 179.0348, 191.0559, 353.0874 65.6 Salvia miltiorrhiza Bunge、Abelmoschus manihot
68 Cis-Ferulic acid 4-O-beta-D-glucopyranoside 4.34 C16H20O9 356.1102 [M − H]− −0.93 355.1035 355.1031 149.0605, 173.0450, 175.0513, 178.0267, 191.0195, 191.0556, 193.0496, 209.0300, 224.0675, 355.0953 55.9 /
69 Myricetin 3—o-beta-d-xylopyranosyl(1—2)-beta-D-glucopyranoside 4.42 C26H28O17 612.1321 [M − H]− −0.32 611.1254 611.1252 271.0248, 316.022, 611.125 75.2 /
70 Cynarin 4.46 C25H24O12 516.1262 [M − H]− −1.13 515.1195 515.1189 135.045, 161.0244, 179.0348, 191.0559, 335.0768, 353.0874, 515.119 69.1 /
71 3-O-caffeoylshikimic acid 4.48 C16H16O8 336.0840 [M − H]− −0.61 335.0772 335.0770 93.0342, 111.0438, 135.0449, 155.0347, 161.0241, 173.045, 179.0347, 335.0775 63 /
72 3-O-p-coumaroylquinic acid 4.48 C16H18O8 338.0996 [M − H]− −0.88 337.0929 337.0926 93.0348, 163.04, 173.0453, 191.0559, 337.0925 71.1 /
73 Luteolin-3′,7—di-glucuronide 4.5 C27H26O18 638.1114 [M − H]− 0.36 637.1046 637.1049 285.0397, 317.0295, 351.056, 461.0722, 479.0787, 637.1017 52.9 /
74 Salvianic acid c 4.5 C18H18O9 378.0945 [M − H]− −0.93 377.0878 377.0875 72.993, 135.0451, 137.0243, 161.0241, 178.0508, 179.0345, 197.0454, 359.0769, 377.0931 65.7 Salvia miltiorrhiza Bunge
75 Schaftoside 4.52 C26H28O14 564.1474 [M + H]+ −1.07 565.1552 565.1546 451.1017, 457.1102, 469.1122, 481.1120, 493.1120, 499.1225, 511.1221, 529.1326, 547.1434, 565.1542 63.1 /
76 Quercetin 3-gentiobioside 4.54 C27H30O17 626.1478 [M + H]+ −1.84 627.1556 627.1544 85.0288, 303.049, 317.0651, 319.043, 465.1018, 481.0961 63.2 /
77 5,7-Dihydroxy-4-oxo-4H-chromene-2-carboxylic acid 4.56 C10H6O6 222.0159 [M − H]− −0.50 221.0092 221.0091 133.0294, 177.0191, 177.055, 221.009 58 /
78 Quercetin 3-sambubioside 4.6 C26H28O16 596.1372 [M − H]− 0.00 595.1305 595.1305 271.0246, 300.027, 595.1301 60.4 Abelmoschus manihot
79 Doryphornine 4.62 C11H11NO3 205.0733 [M + FA-H]− −0.98 250.0721 250.0719 88.0403, 115.0036, 132.0301, 135.0449, 250.0717 62 /
80 3-Feruloylquinic acid 4.62 C17H20O9 368.1102 [M − H]− −1.32 367.1035 367.1030 93.0345, 134.0371, 173.0452, 191.0558, 193.0503, 367.1032 67.7 Salvia miltiorrhiza Bunge
81 (E/Z)-ferulic acid 4.62 C10H10O4 194.0574 [M -H2O + H] +  −0.35 177.0546 177.0546 76.0510, 89.0389, 117.0336, 118.0499, 145.0282, 149.0230, 149.0594, 160.0715, 163.0385, 177.0540 56.8 Astragalus membranaceus
82 Rutin 4.72 C27H30O16 610.1528 [M + H]+ 0.59 611.1607 611.1610 85.0288, 303.049, 465.1019 72.3 Astragalus membranaceus、Abelmoschus manihot
83 Aloe-emodin-8-O-beta-D-glucopyranoside 4.79 C21H20O10 432.1051 [M − H]− −1.41 431.0984 431.0978 113.0244, 139.1761, 153.0183, 175.0242, 208.4511, 208.4739, 209.3472, 255.0657, 431.0968 45.8 Astragalus membranaceus
84 Liquiritigenin-7—o-apiosyl(1—2)-glucoside 4.79 C26H30O13 550.1681 [M − H]− −0.76 549.1614 549.1609 135.0086, 255.0661, 549.1613 61 Astragalus membranaceus
85 Taxifolin 7-O-rhamnoside 4.8 C21H22O11 450.1157 [M + H-H2O] +  −2.12 433.1129 433.1120 313.0695, 323.0909, 337.0698, 349.0700, 361.0684, 367.0800, 379.0804, 397.0909, 415.1018, 433.1120 54.2 /
86 Calycosin-7-O-beta-D-glucoside 4.82 C22H22O10 446.1207 [M + H]+ −3.29 447.1286 447.1271 285.0751, 447.1275 70.1 Astragalus membranaceus
87 Neoliquiritin 4.84 C21H22O9 418.1258 [M + H]+ −2.70 419.1337 419.1325 137.0229, 147.0437, 257.0802 69.6 Glycyrrhiza uralensis
88 Apigenin 7-O-(2G-rhamnosyl)gentiobioside 4.85 C33H40O19 740.2158 [M – 2OH – H]− −0.42 721.1985 721.1982 353.0658, 383.0759, 457.1135, 463.0882, 721.1985 63.2 /
89 ( +)-3,4′,5,7-Flaventetrol 4.86 C15H14O5 274.0836 [M + H-H2O] +  −2.00 257.0808 257.0803 137.0231, 147.0438, 257.0804 57.5 /
90 Liquiritin 4.87 C21H22O9 418.1258 [M − H]− −1.78 417.1191 417.1184 119.0500, 135.0086, 153.0191, 175.0399, 179.0360, 197.0455, 255.0661, 373.0926, 417.0763, 417.1194 60.1 Glycyrrhiza uralensis
91 3-Coumaric acid 4.87 C9H8O3 164.0468 [M − H]− −1.3 163.0401 163.0399 119.0501, 163.0399 57.3 /
92 Suberic acid 4.89 C8H14O4 174.0887 [M − H]− −1.49 173.0819 173.0817 111.0814, 129.092, 173.0818 57.8 /
93 3,4-Dimethoxybenzyl alcohol 4.96 C9H12O3 168.0781 [M + NH4]+ −1.43 186.1125 186.1122 83.086, 111.0808 40.4 /
94 Quercetin 3-O-malonylglucoside 4.97 C24H22O15 550.0953 [M − H]− −0.61 549.0886 549.0883 135.0086, 153.0191, 255.0658, 271.0244, 300.0271, 505.0982 69.3 Abelmoschus manihot
95 Vanillin 4.98 C8H8O3 152.0468 [M + H]+ −1.13 153.0546 153.0544 95.0860, 97.0649, 107.0858, 109.1015, 110.0364, 111.0442, 125.0597, 134.0596, 135.1166, 153.0543 57.8 Astragalus membranaceus、Glycyrrhiza uralensis Fisch、Salvia miltiorrhiza Bunge
96 Methyl protocatechuate 4.99 C8H8O4 168.0417 [M − H]− −1.29 167.0350 167.0348 152.0114, 167.0348 69.5 /
97 Nepitrin 5.01 C22H22O12 478.1106 [M − H − H2O]− −0.47 459.0933 459.0931 459.0931 42.5 /
98 1,3-Dicaffeoylquinic acid 5.01 C25H24O12 516.1262 2[M − H]- −0.67 1031.2463 1031.2456 173.0453, 179.0347, 191.0559, 353.0875, 515.1187, 1031.2421 60.7 /
99 Breynioside a 5.01 C19H20O9 392.1102 [M – H] – 2OH −1.45 373.0929 373.0923 72.993, 175.0398, 179.0347, 197.0453, 257.0826, 329.1031, 373.093 63.7 /
100 Isochlorogenic acid C 5.02 C25H24O12 516.1262 [M + H]+ −2.31 517.1341 517.1329 163.0386, 499.1227 59.4 Salvia miltiorrhiza Bunge、Abelmoschus manihot
101 Kaempferol 3-O-D-galactoside 5.03 C21H20O11 448.1000 [M − H]− −1.49 447.0933 447.0926 255.0295, 284.0323, 447.0927 60.4 /
102 kaempferol-O-glucuronide 5.03 C21H18O12 462.0793 [M − H]− −1.03 461.0725 461.0721 113.0244, 175.0245, 285.04, 461.0719 62.1 /
103 Trifolin 5.04 C21H20O11 448.1000 [M + H]+ −2.01 449.1078 449.1069 287.0544, 288.0575, 303.049 63.2 /
104 Gossypetin 5.09 C15H10O8 318.0370 [M − H]− −4.54 317.0303 317.0288 139.0035, 166.9983, 317.0297 58.5 Abelmoschus manihot
105 Hibifolin 5.1 C21H18O14 494.0691 [M − H]− −1.11 493.0624 493.0618 295.0602, 317.0298, 493.0532, 493.062 72.1 /
106 Astilbin 5.12 C21H22O11 450.1157 [M + H-H2O] +  −2.27 433.1129 433.1119 271.0594, 272.063, 433.1078 54.5 /
107 Salvianolic acid E 5.12 C36H30O16 718.1528 [M + Na]+ −1.93 741.1427 741.1412 70.0667, 86.0967, 345.0362, 363.0482, 381.0581, 543.0893, 561.0999, 741.1422 60.4 Salvia miltiorrhiza Bunge
108 Hydrangetin 5.12 C10H8O4 192.0417 [M + H]+ −1.23 193.0495 193.0493 81.0703, 133.0281, 133.1008, 193.0492 63.1 /
109 Salvianolic acid H 5.22 C27H22O12 538.1106 [M − H]− −1.42 537.1038 537.1031 135.0449, 159.0444, 179.0348, 185.0242, 197.0443, 295.0608, 313.0703, 339.0503, 493.1133, 537.1030 74.4 Salvia miltiorrhiza Bunge
110 Spiraeoside 5.26 C21H20O12 464.0949 [M + H]+ −2.28 465.1028 465.1017 85.0288, 303.049, 465.1019 59.9 Abelmoschus manihot
111 Rosmarinic 5.26 C18H16O8 360.0840 [M − H]− −1.52 359.0772 359.0767 72.993, 135.045, 161.0242, 179.0348, 197.0453, 359.0772 67.8 Astragalus membranaceus、Salvia miltiorrhiza Bunge
112 Licraside 5.28 C26H30O13 550.1681 [M − H]− −0.82 549.1614 549.1609 119.05, 135.0086, 153.0191, 255.0661, 549.1614 66.7 Astragalus membranaceus
113 Isoliquiritin apioside 5.32 C26H30O13 550.1681 [M + H]+ −2.54 551.1759 551.1745 137.023, 147.0437, 257.0802, 303.049, 419.1327 65.3 Astragalus membranaceus
114 Salvianolic B 5.32 C36H30O16 718.1528 [M + NH4]+ −1.77 736.1872 736.1859 135.044, 139.0388, 163.0388, 181.0493, 277.0486, 295.059, 323.0541, 521.1069 66.4 Salvia miltiorrhiza Bunge
115 m-Methoxyphenol 5.32 C7H8O2 124.0519 [M + H – H2O]+ 1.67 107.0492 107.0493 107.0493 41 /
116 5-Methoxyindoleacetate 5.34 C11H11NO3 205.0733 [M − H]− −0.85 204.0666 204.0664 117.0708, 130.0668, 160.0765, 204.0662 71 /
117 Lithospermic acid 5.35 C27H22O12 538.1106 [M + H – H2O]+ −2.30 521.1078 521.1066 203.0340, 249.0542, 267.0640, 277.0487, 281.0439, 295.0596, 323.0543, 341.0644, 493.1131, 521.1086 56.4 Salvia miltiorrhiza Bunge
118

Salvianolic

acid B

5.37 C36H30O16 718.1528 [M − H]− 0.08 717.1461 717.1462 185.024, 277.0501, 279.0291, 293.0456, 295.0606, 321.0399, 339.0504, 519.0926, 717.1456 67.3 Salvia miltiorrhiza Bunge
119 Asiaticoside B 5.37 C48H78O20 974.5081 [M + Na]+ −1.82 957.5053 957.5036 433.3095, 439.3193, 451.3198, 469.3303, 471.1704, 487.3404, 597.3752, 633.3982, 649.3926, 795.4539 55.9 Centella asiatica (L.) Urban
120 Beta-D-Glucopyranoside, 2-((benzoyloxy)methyl)-4-hydroxyphenyl 5.39 C20H22O9 406.1258 [M + Na]+ −1.64 429.1156 429.1149 429.1149 52.7 /
121 Isololiolide 5.41 C11H16O3 196.1094 [M + H]+ −1.67 197.1172 197.1169 107.0857, 133.101, 135.1166, 161.0958, 179.1061, 197.1152 62.8 /
122 6″-O-Acetylglycitin 5.44 C24H24O11 488.1313 [M + H]+ −2.75 489.1391 489.1378 285.0751, 489.1368 55.2 Astragalus membranaceus
123 Asiaticoside B 5.49 C48H78O20 974.5081 [M − H]− −0.03 973.5008 973.5008 101.0242, 161.0453, 247.0811, 469.1555, 503.3367, 973.5008 63.9 Centella asiatica (L.) Urban
124 Isoliquiritin 5.51 C21H22O9 418.1258 [M − H]− −1.17 417.1191 417.1186 119.0498, 135.0086, 148.0163, 153.019, 175.0399, 254.0582, 255.0661, 417.1176, 417.1257 64 Glycyrrhiza uralensis Fisch
125 Ononin 5.56 C22H22O9 430.1258 [M + H]+ −2.19 431.1337 431.1327 269.0803, 431.1286 62.5 Astragalus membranaceus
126 Oroxin A 5.57 C21H20O10 432.1051 [M − H]− −1.54 431.0984 431.0977 56
127 Licorice glycoside A 5.57 C36H38O16 726.2154 [M − H]− 0.38 725.2087 725.2090 119.0498, 134.037, 135.0085, 153.0188, 175.0398, 193.0499, 255.0663, 531.1516, 549.1627, 725.2092 67.8 Glycyrrhiza uralensis Fisch
128 Isoononin 5.59 C22H22O9 430.1258 [M + FA – H]− −0.90 475.1246 475.1242 252.0423, 267.066, 475.124 76.2 Astragalus membranaceus
129 Indole-3-acetic acid 5.61 C10H9NO2 175.0628 [M + H]+ −2.14 176.0706 176.0702 130.065, 149.0228, 176.0702 58.7 /
130 Salvianolic acid A 5.65 C26H22O10 494.1207 [M – H]– −0.22 493.1140 493.1139 135.0452, 185.0242, 197.0451, 295.0608, 313.0713, 317.0298, 493.0486, 493.0592, 493.1143, 493.1212 56.2 Salvia miltiorrhiza Bunge
131 Scheffoleoside A 5.75 C48H78O19 958.5132 [M + H]+ −1.89 959.5210 959.5192 407.3304, 435.3241, 453.3352, 471.1745, 471.3463, 489.3565, 635.4145, 651.4111, 797.4689, 813.4622 61.3 Centella asiatica (L.) Urban
132 Madecassoside 5.78 C48H78O19 958.5132 [M − H]− 0.64 1003.5119 1003.5125 101.0243, 161.0455, 247.0822, 469.1559, 487.3423, 957.5062, 1003.5131 64.5 /
133 Licochalcone B 5.82 C16H14O5 286.0836 [M − H]− −0.88 285.0768 285.0766 150.032, 270.0531, 285.0417, 285.0759 61.4 /
134 Lactiflorin 5.85 C23H26O10 462.1520 [M + NH4]+ −2.42 480.1865 480.1853 167.07, 301.1063, 463.1584 53.7 Astragalus membranaceus
135 3-O-a-Laminaribiosylplatycodigenin methyl ester 5.9 C43H70O17 858.4608 [M − H]− 0.66 857.4540 857.4546 193.0504, 323.0979, 487.3424, 811.45, 857.2621, 857.4526 65.8 /
136 7-O-Methylluteolin-6-C-beta-glucoside 5.94 C16H14O7 318.0734 [M – 2 OH – H]− −0.94 299.0561 299.0558 256.0374, 269.0453, 284.0324, 284.0689, 299.0189, 299.0556 62 Astragalus membranaceus
137 Liquiritigenin 5.96 C15H12O4 256.0730 [M − H]− 0.49 255.0663 255.0664 119.05, 135.0086, 153.0191, 255.0661 61 Glycyrrhiza uralensis Fisch
138 Isomucronulatol 7-O-glucoside 5.96 C23H28O10 464.1677 [M − H]− −1.07 463.1616 463.1616 135.0447, 161.0238, 197.0451, 286.0828, 301.1077, 311.0555, 333.0247, 347.1852, 463.1616 61.6 Astragalus membranaceus
139 Isoliquiritigenin 5.98 C15H12O4 256.0730 [M + H]+ −2.34 257.0808 257.0802 137.023, 138.0264, 147.0433, 148.0471, 155.1064, 257.0802 65.3 Glycyrrhiza uralensis Fisch
140 Luteolin 6 C15H10O6 286.0472 [M + H]+ −2.17 287.0550 287.0544 121.0285, 137.0231, 151.0388, 245.0803, 287.0535 45.6 Glycyrrhiza uralensis Fisch、Centella asiatica (L.) Urban
141 Sebacic acid 6.02 C10H18O4 202.1200 [M − H]− −0.68 201.1132 201.1131 89.0246, 116.9284, 139.1126, 183.1018, 201.1129 66.2 /
142 Lithospermic acid 6.05 C27H22O12 538.1106 [M – H] – 2OH −0.60 519.0933 519.0930 109.0295, 185.0245, 277.0505, 279.03, 293.0457, 295.062, 321.0399, 339.0508, 519.0927 69.7 Salvia miltiorrhiza Bunge
143 Calycosin 6.17 C16H12O5 284.0679 [M − H]− −0.77 283.0612 283.0610 268.0374, 283.0607 63.5 Astragalus membranaceus、Glycyrrhiza uralensis Fisch
144 Syringaresinol 6.24 C22H26O8 418.1622 [M + H – H2O]+  −3.52 401.1594 401.1580 315.0855, 323.1257, 330.1090, 339.1208, 343.1151, 351.1218, 369.1295, 371.1465, 383.1478, 401.1588 60.7 /
145 Ixerisoside D 6.34 C21H28O8 408.1779 [M − H]− 3.71 407.1711 407.1727 407.1727 54.1 /
146 Isosalvianolic acid c 6.35 C26H20O10 492.1051 [M + H]+ −2.41 493.1129 493.1117 139.0387, 181.0488, 225.0536, 249.0536, 253.0477, 267.0646, 277.0485, 295.0592, 493.1134 68.5 Salvia miltiorrhiza Bunge
147 Phloretin 6.51 C15H14O5 274.0836 [M − H]− −0.61 273.0768 273.0767 273.0767 40.9 /
148 Echinatin 6.72 C16H14O4 270.0887 [M + H]+ −2.93 271.0965 271.0957 107.0494, 121.0284, 123.044, 177.0543, 229.0856, 271.0592, 271.0954 57.1 Glycyrrhiza uralensis
149 Naringenin 6.72 C15H12O5 272.0679 [M − H]− −1.44 271.0612 271.0608 109.029, 135.0087, 135.0448, 153.019, 165.0185, 211.1334, 271.0598 47 Astragalus membranaceus、Glycyrrhiza uralensis Fisch
150 Bernardioside A 6.96 C36H58O11 666.3974 M + NH4 −1.85 684.4318 684.4305 325.1103, 359.0235, 405.3170, 429.0883, 433.3112, 451.3189, 469.3296, 487.3392, 586.5322, 669.2875 52.3 /
151 5-hydroxy-7,8-dimethoxy-6-methyl-3-(3′,4′-dihydroxybenzyl)chroman-4-one 6.97 C19H20O7 360.1204 [M – H2O – H]− −2.51 341.1030 341.1022 89.0243, 119.0349, 179.0557, 253.1231, 297.1127, 341.1059 53.9 /
152 Pseudolaric Acid C 7.03 C21H26O7 390.1673 [M − H]− 1.95 389.1606 389.1613 389.1613 40.3 /
153 Isorhamnetin 7.07 C16H12O7 316.0578 [M − H]− −0.73 315.0510 315.0508 109.0293, 300.0272, 315.0508 63.6 Glycyrrhiza uralensis Fisch
154 4-Methoxymedicarpin 7.09 C17H16O5 300.0992 [M − H]− −1.69 299.0925 299.0920 269.0815, 284.0324, 299.0552, 299.0916 54.3 Astragalus membranaceus
155 Asiaticoside D 7.09 C48H78O18 942.5183 [M + FA – H]− 1.49 987.5170 987.5184 101.0244, 125.0243, 143.0345, 161.0454, 247.0832, 367.1236, 469.1557, 471.3481, 941.5105, 987.5128 62.4 /
156 Tectorigenin 7.13 C16H12O6 300.0628 [M − H]− −1.34 299.0561 299.0557 271.0252, 284.0323, 299.0183, 299.0549 56.6 Astragalus membranaceus
157 Astragaloside VI 7.22 C47H78O19 946.5132 [M + FA − H]− −0.46 991.5120 991.5115 945.5055, 991.5023 62.3 /
158 Traumatic acid 7.3 C12H20O4 228.1356 [M − H]− −0.92 227.1289 227.1287 165.1287, 181.0714, 183.1385, 184.1423, 227.1287 69.6 /
159 Licorice saponin G2 7.31 C42H62O17 838.3982 [M + H]+ −1.38 839.4060 839.4048 141.0179, 451.3198, 469.3304, 487.3407, 645.3594, 663.3655, 839.4042 73.7 Glycyrrhiza uralensis
160 pinocembrin 7.42 C15H12O4 256.0730 [M − H]− −0.97 255.0663 255.0660 119.0501, 135.0087, 153.0192, 255.0662 65.6 Glycyrrhiza uralensis Fisch
161 Isoliquiritigenin 7.44 C15H12O4 256.0730 [M + H]+ −2.27 257.0808 257.0803 137.0231, 147.0439, 257.0802 57 Astragalus membranaceus
162 Marmin 7.47 C19H24O5 332.1618 [M − H]− −1.99 331.1551 331.1544 239.1438, 240.1466, 287.2012, 288.1676, 330.2366 42.8 /
163 Corosolic acid 7.67 C30H48O4 472.3547 [M + H – H2O]+ −2.85 455.3519 455.3506 109.1012, 123.117, 125.0964, 141.127, 143.1065, 297.2193, 419.3294, 437.3412, 455.225, 455.3501 51.6 Astragalus membranaceus
164 Astragaloside III 7.67 C41H68O14 784.4604 [M + FA – H]− −0.08 829.4591 829.4590 829.4592 55.7 Astragalus membranaceus
165 Astragaloside IV 7.69 C41H68O14 784.4604 [M + H]+ −1.39 785.4682 785.4671 86.0966, 124.9996, 125.0961, 143.1065, 184.073, 437.3419, 455.3485 50 Astragalus membranaceus
166 Formononetin 7.7 C16H12O4 268.0730 [M − H]− −0.00 267.0663 267.0663 252.0425, 267.0659 51.4 Astragalus membranaceus
167 Glycyrrhizic acid 7.77 C42H62O16 822.4032 [M + H]+ −0.97 823.4111 823.4103 453.3353, 471.346, 647.3774 68.6 Glycyrrhiza uralensis Fisch
168 Alpha-Glycyrrhizin 7.78 C42H62O16 822.4032 [M − H]− 0.59 821.3965 821.3970 113.0243, 821.3904 66.4 /
169 Dihydroactinidiolide 8.06 C11H16O2 180.1145 [M + H]+ −1.40 181.1223 181.1221 107.0857, 111.0441, 135.1166, 163.1113, 181.1218 60.7 /
170 Soyasaponin Ba 8.12 C48H78O19 958.5132 [M + H]+ −2.71 959.5210 959.5184 405.3513, 423.3613, 441.3716, 501.1389, 581.3779, 599.3934, 617.4045, 635.4154, 797.4703, 959.5205 65.3 Centella asiatica (L.) Urban
171 Isomucronulatol 8.14 C17H18O5 302.1149 [M + H]+ −2.61 303.1227 303.1219 123.044, 133.0646, 149.059, 161.0595, 167.07, 181.0852, 193.0854, 303.0493 57.1 Astragalus membranaceus
172 Sandosaponin B 8.23 C48H76O19 956.4975 [M + H]+ −1.75 957.5054 957.5037 455.3502, 599.3959, 605.4351, 613.3696, 617.3990, 631.3812, 635.4091, 649.3883, 811.4476, 957.5079 66.2 /
173 Glicoricone 8.25 C21H20O6 368.1254 [M + H]+ −2.65 369.1333 369.1323 169.0494, 189.0906, 199.0749, 213.0883, 215.1062, 271.0597, 285.0745, 313.0697, 369.1301 71.5 Glycyrrhiza uralensis
174 Sinensetin 8.25 C20H20O7 372.1204 [M + H]+ −2.90 373.1282 373.1271 312.0972, 343.0803, 357.0961, 373.1268 60.1 Glycyrrhiza uralensis Fisch
175 Licorice-saponin H2 8.27 C42H62O16 822.4032 [M + H]+ −1.13 823.4111 823.4101 453.3353, 471.3472, 647.3771 65.3 Glycyrrhiza uralensis
176 Soyasaponin Bb 8.33 C48H78O18 942.5183 [M + H]+ −1.49 943.5261 943.5247 441.3715, 581.3784, 599.3939, 605.4382, 617.4047, 635.4142, 781.4689, 797.4675, 943.5126, 943.5311 61.5 Astragalus membranaceus
177 Soyasaponin III 8.33 C42H68O14 796.4604 [M + H]+ −1.09 797.4682 797.4673 247.2049, 383.3297, 405.3498, 423.3611, 441.3716, 581.3814, 599.3936, 617.4048, 635.4114, 797.4686 60.7 Astragalus membranaceus
178 TMC-58B 8.56 C25H26N2O3 402.1938 [M—H]- −1.70 401.1871 401.1864 120.0453, 146.0609, 267.1139, 280.1339, 401.1867 61.4 /
179 Medicarpin 8.56 C16H14O4 270.0887 [M + H]+ −2.00 271.0965 271.0959 123.0441, 137.0596, 161.0592, 271.0956 51.4 Astragalus membranaceus、 Glycyrrhiza uralensis Fisch
180 Pulsatilla saponin D 8.64 C47H76O17 912.5077 [M + H]+ −1.48 913.5155 913.5142 323.0973, 405.3507, 423.3611, 441.3716, 599.3931, 605.4415, 617.4045, 635.4149, 767.4562, 781.4749 44.8 Astragalus membranaceus
181 Acacetin 8.77 C16H12O5 284.0679 [M − H]− −1.14 283.0612 283.0609 268.0377, 283.0266, 283.0607 59.7 Glycyrrhiza uralensis、Astragalus membranaceus、Abelmoschus manihot
182 Rishitin 8.83 C14H22O2 222.1614 [M + FA – H]− −1.55 267.1603 267.1598 223.1702, 267.0663, 267.1598 59
183 AstragalosideII 8.91 C43H70O15 826.4709 [M + FA – H]− 0.22 871.4697 871.4699 112.9856, 871.4694 59.5 Astragalus membranaceus
184 Paris saponin VII 8.97 C51H82O21 1030.5343 [M + H]+ −3.61 1031.5421 1031.5384 1031.5384 43.5 /
185 14alpha-hydroxy Sprengerinin C 9 C44H70O17 870.4608 [M − H]− −0.1 869.4540 869.4539 869.4539 40.4 /
186 Dehydrosoyasaponin I 9.07 C48H76O18 940.5026 [M + H]+ −1.24 941.5104 941.5093 309.1171, 421.3458, 439.3557, 457.3661, 597.3780, 603.4197, 615.3898, 633.4066, 795.4581, 941.5150 66 /
187 Glycycoumarin 9.08 C21H20O6 368.1254 [M − H]− −1.84 367.1187 367.1180 139.0398, 297.0396, 309.0399, 367.1191 59.1 Glycyrrhiza uralensis Fisch
188 Glyasperin C 9.22 C21H24O5 356.1618 [M + H]+ −3.01 357.1697 357.1686 165.0541, 179.0690, 221.1171, 235.1313, 289.1072, 294.1197, 301.1062, 312.1293, 357.1621, 357.1681 63.8 Glycyrrhiza uralensis
189 Artepillin A 9.27 C19H24O4 316.1669 [M − H]− −1.94 315.1602 315.1596 225.1642, 271.1699, 315.1595 57 /
190 Arjunolic acid 9.39 C30H48O5 488.3496 [M + FA – H]− −0.67 533.3484 533.3480 487.3423, 533.3499 66.5 Centella asiatica (L.) Urban
191 Angenomalin 9.53 C14H12O3 228.0781 [M + H]+ −1.56 229.0859 229.0856 175.039, 187.0388, 229.0854 62.4
192 Trijuganone B 9.54 C18H16O3 280.1094 [M + FA – H]− −1.89 325.1082 325.1076 281.1179, 325.1076 68 Salvia miltiorrhiza Bunge
193 Astragaloside I 9.57 C45H72O16 868.4815 M + Na −1.26 891.4713 891.4702 711.4077, 891.4701 50.6 Astragalus membranaceus
194 Hederagenin 9.59 C30H48O4 472.3547 [M + H – H2O]+ -2.19 455.3519 455.3509 109.1015, 123.1169, 125.0959, 141.1271, 143.1064, 297.2205, 419.3307, 437.341, 455.351 63.2 Astragalus membranaceus
195 Danshenxinkun A 9.6 C18H16O4 296.1043 [M − H]− −1.65 295.0976 295.0971 237.0918, 265.087, 267.1019, 295.0968 63.3 Salvia miltiorrhiza Bunge
196 Licoisoflavone A 9.62 C20H18O6 354.1098 [M − H]− −1.56 353.1031 353.1025 125.0242, 353.1025 62.5 Glycyrrhiza uralensis Fisch
197 Neoglycyrol 9.83 C21H18O6 366.1098 [M − H]− −2.83 365.1031 365.1020 295.0237, 297.1132, 307.0244, 365.102 56.5 Glycyrrhiza uralensis
198 3-Hydroxydodecanoic acid 9.87 C12H24O3 216.1720 [M − H]− −1.26 215.1653 215.1650 59.0137, 116.9287, 160.9347, 215.1292, 215.1647 46.3 /
199 Beta-Kudinlactone 9.89 C30H46O5 486.3340 [M − H]− −0.96 485.3272 485.3268 485.3277 50.7 Abelmoschus manihot
200 Dihydrotanshinone I 10.19 C18H14O3 278.0937 [M + H]+ −1.76 279.1016 279.1011 149.0231, 233.0957, 261.0905, 279.1009 62.5 Salvia miltiorrhiza Bunge
201 21-Hydroxygypsogenin 10.27 C30H46O5 486.3340 [M − H]− −1.11 485.3272 485.3267 485.3275 53.7 Glycyrrhiza uralensis
202 9,10-Dihydroxystearic acid 10.39 C18H36O4 316.2608 [M − H]− −1.89 315.2541 315.2535 315.2535 52.6 /
203 Neocryptotanshinone 10.44 C19H22O4 314.1513 [M + H]+ −2.50 315.1591 315.1583 251.1427, 279.1374, 297.1476, 315.1581 59.7 Salvia miltiorrhiza Bunge
204 ( ±)9-HODE 10.81 C18H32O3 296.2346 [M − H]− −1.80 295.2279 295.2273 277.2161, 295.2272 70.5 Astragalus membranaceus
205 Tanshinone I 10.89 C18H12O3 276.0781 [M + H]+ −1.97 277.0859 277.0854 249.0905, 277.0853 62.6 Salvia miltiorrhiza Bunge
206 Diosgenin glucoside 11.22 C33H52O8 576.3656 [M − H]− 0.45 577.3735 577.3738 577.3738 52
207 Licorice-saponin H2_qt 11.46 C30H46O4 470.3391 [M + H]+ −1.89 471.3469 471.3460 471.3466 59.1 /
208 18alpha-Glycyrrhetinic acid 11.49 C30H46O4 470.3391 [M − H]− −1.58 469.3323 469.3316 469.0264, 469.3314 55.6 Glycyrrhiza uralensis Fisch
209 Tanshinone IIA 11.67 C19H18O3 294.1250 [M + H]+ −1.97 295.1329 295.1323 249.1268, 277.1215, 295.1322 61.9 Salvia miltiorrhiza Bunge
210 3-Hydroxypalmitic acid 12.22 C16H32O3 272.2346 [M − H]− −1.06 271.2279 271.2276 225.2221, 271.2273 66.7 /
211 Docosa-4,7,10,13,16,19-hexaenoic acid 12.52 C22H32O2 328.2397 [M − H]− −1.4 327.2330 327.2325 229.1957, 283.2427, 327.2324 50.6 /

Table 4.

Analysis and identification of prototype compounds in mouse plasma of HY-I based on UPLC-Q-TOF–MS

No. No.
(HY-I)
English name RT Formula Calc. MW Adducts Error
(ppm)
Theoretical mass (m/z) Experimental mass (m/z) MS2 (m/z)
P1 24 Pinitol 1.05 C7H14O6 194.0785 [M + FA-H]− −1.19 239.0773 239.0770 193.0703, 195.0288, 195.1377, 201.9223, 238.8911, 239.0168, 239.0230, 239.0551, 239.0626, 239.0770
P2 45 Ser-Leu 2.6 C9H18N2O4 218.1261 [M + H]+ −1.47 219.1339 219.1336 60.0449, 86.0968, 132.1017, 173.128, 201.122, 203.1425, 205.1583, 219.1116, 219.1333
P3 79 Doryphornine 4.62 C11H11NO3 205.0733 [M + FA-H]− −0.98 250.0721 250.0719 88.0403, 115.0036, 132.0301, 135.0449, 250.0717
P4 83 Aloe-emodin-8-O-beta-D-glucopyranoside 4.79 C21H20O10 432.1051 [M − H]− −1.41 431.0984 431.0978 113.0244, 139.1761, 153.0183, 175.0242, 208.4511, 208.4739, 209.3472, 255.0657, 431.0968
P5 85 Taxifolin 7-O-rhamnoside 4.8 C21H22O11 450.1157 [M + H-H2O] +  −2.12 433.1129 433.1120 313.0695, 323.0909, 337.0698, 349.0700, 361.0684, 367.0800, 379.0804, 397.0909, 415.1018, 433.1120
P6 89 ( +)-3,4′,5,7-Flaventetrol 4.86 C15H14O5 274.0836 [M + H-H2O] +  −2.00 257.0808 257.0803 137.0231, 147.0438, 257.0804
P7 93 3,4-Dimethoxybenzyl alcohol 4.96 C9H12O3 168.0781 [M + NH4]+ −1.43 186.1125 186.1122 83.086, 111.0808
P8 97 Nepitrin 5.01 C22H22O12 478.1106 [M − H − H2O]− −0.47 459.0933 459.0931 459.0931
P9 101 Kaempferol 3-O-D-galactoside 5.03 C21H20O11 448.1000 [M − H]− −1.49 447.0933 447.0926 255.0295, 284.0323, 447.0927
P10 103 Trifolin 5.04 C21H20O11 448.1000 [M + H]+ −2.01 449.1078 449.1069 287.0544, 288.0575, 303.049
P11 106 Astilbin 5.12 C21H22O11 450.1157 [M + H-H2O] +  −2.27 433.1129 433.1119 271.0594, 272.063, 433.1078
P12 116 5-Methoxyindoleacetate 5.34 C11H11NO3 205.0733 [M − H]− −0.85 204.0666 204.0664 117.0708, 130.0668, 160.0765, 204.0662
P13 123 Asiaticoside B 5.49 C48H78O20 974.5081 [M − H]− −0.03 973.5008 973.5008 101.0242, 161.0453, 247.0811, 469.1555, 503.3367, 973.5008
P14 126 Oroxin A 5.57 C21H20O10 432.1051 [M − H]− −1.54 431.0984 431.0977 431.0977
P15 151 5-hydroxy-7,8-dimethoxy-6-methyl-3-(3′,4′-dihydroxybenzyl)chroman-4-one 6.97 C19H20O7 360.1204 [M—H2O—H]− −2.51 341.1030 341.1022 89.0243, 119.0349, 179.0557, 253.1231, 297.1127, 341.1059
P16 152 Pseudolaric acid C 7.03 C21H26O7 390.1673 [M − H]− 1.95 389.1606 389.1613 389.1613
P17 162 Marmin 7.47 C19H24O5 332.1618 [M − H]− −1.99 331.1551 331.1544 239.1438, 240.1466, 287.2012, 288.1676, 330.2366
P18 168 Alpha-Glycyrrhizin 7.78 C42H62O16 822.4032 [M − H]− 0.59 821.3965 821.3970 113.0243, 821.3904
P19 182 Rishitin 8.83 C14H22O2 222.1614 [M + FA—H]− −1.55 267.1603 267.1598 223.1702, 267.0663, 267.1598
P20 189 Artepillin A 9.27 C19H24O4 316.1669 [M − H]− −1.94 315.1602 315.1596 225.1642, 271.1699, 315.1595
P21 190 Arjunolic acid 9.39 C30H48O5 488.3496 [M + FA—H]− −0.67 533.3484 533.3480 487.3423, 533.3499
P22 198 3-Hydroxydodecanoic acid 9.87 C12H24O3 216.1720 [M − H]− −1.26 215.1653 215.1650 59.0137, 116.9287, 160.9347, 215.1292, 215.1647
P23 199 Beta-Kudinlactone 9.89 C30H46O5 486.3340 [M − H]− −0.96 485.3272 485.3268 485.3277
P24 201 21-Hydroxygypsogenin 10.27 C30H46O5 486.3340 [M − H]− −1.11 485.3272 485.3267 485.3275
P25 202 9,10-Dihydroxystearic acid 10.39 C18H36O4 316.2608 [M − H]− −1.89 315.2541 315.2535 315.2535
P26 204 Neocryptotanshinone 10.44 C19H22O4 314.1513 [M + H]+ −2.50 315.1591 315.1583 251.1427, 279.1374, 297.1476, 315.1581
P27 206 Diosgenin glucoside 11.22 C33H52O8 576.3656 [M − H]− 0.45 577.3735 577.3738 577.3738
P28 207 Licorice-saponin H2_qt 11.46 C30H46O4 470.3391 [M + H]+ −1.89 471.3469 471.3460 471.3466
P29 208 18alpha-Glycyrrhetinic acid 11.49 C30H46O4 470.3391 [M − H]− −1.58 469.3323 469.3316 469.0264, 469.3314

Table 5.

Analysis and identification of metabolites in mouse plasma of HY-I based on UPLC-Q-TOF–MS

No. Metabolites RT(min) Formula Calc. MW Adducts Mass Error (ppm) m/z Score Parent compound Transformations
M1 10-Hydroxymajoroside_M1 2.28 C10H12O9S 308.0196 [M + FA-H]− 3.99 353.0196 48.8 10-Hydroxymajoroside Deglycosidation, hydrolysis, sulfation
M2 5,7-Dihydroxy-4-oxo-4H-chromene-2-carboxylic acid_M2 3.81 C17H16O13 428.0585 [2 M-H]− 0.47 855.1113 43 5,7-Dihydroxy-4-oxo-4H-chromene-2-carboxylic acid Hydroxylation, glucuronidation, methylation
M3 5,7-Dihydroxy-4-oxo-4H-chromene-2-carboxylic acid_M1 3.83 C10H6O7 238.0108 [M + FA-H]− 1.43 283.0099 41.9 5,7-Dihydroxy-4-oxo-4H-chromene-2-carboxylic acid Hydroxylation
M4 3-Coumaric acid_M1 4.28 C9H8O6S 244.0036 [M − H]− −1.10 242.9966 41.1 3-Coumaric acid Sulfation
M5 3,4-Dihydroxybenzaldehyde_M1 4.41 C7H6O2 122.0362 [M-H2O-H]− 2.54 105.0338 57.1 3,4-Dihydroxybenzaldehyde Dehydroxylation
M6 Beta-D-Glucopyranoside, 2-((benzoyloxy)methyl)-4-hydroxyphenyl_M1 4.42 C9H9NO3 179.0577 [M − H]− −0.99 178.0508 54.4 Beta-D-Glucopyranoside, 2-((benzoyloxy)methyl)-4-hydroxyphenyl Hydrolysis, glycination
M7 m-Methoxyphenol_M1 4.73 C7H8O5S 204.0087 [M − H]− −0.53 203.0019 53.9 m-Methoxyphenol Sulfation
M8 Luteolin_M1 4.75 C21H18O15S 542.0361 [M − H]− −0.71 541.0290 54.3 Luteolin Glucuronidation, sulfation
M9 Methyl protocatechuate_M1 4.93 C9H10O7S 262.0142 [M − H]− −1.41 261.0071 54.5 Methyl protocatechuate Methylation, sulfation
M10 Indoleacetic acid_M1 4.99 C11H11NO4 221.0682 [M-H2O-H]− −0.60 202.0508 40.8 Indoleacetic acid Hydroxylation, hydroxylation, methylation
M11 5-hydroxy-7,8-dimethoxy-6-methyl-3-(3′,4′-dihydroxybenzyl)chroman-4-one_M1 6.17 C19H22O8 378.1309 [M + FA-H]− −0.96 423.1293 49.4 5-hydroxy-7,8-dimethoxy-6-methyl-3-(3′,4′-dihydroxybenzyl)chroman-4-one Reduction, hydroxylation
M12 Phloretin_M1 6.25 C15H14O8S 354.0404 [M − H]− −1.40 353.0332 59.6 Phloretin Sulfation
M13 Ixerisoside D_M1 7.45 C15H16O3 244.1094 [M − H]− −1.36 243.1023 44.2 Ixerisoside D Deglycosidation, oxidation
M14 14alpha-hydroxy Sprengerinin C_M1 9.39 C27H42O5 446.3027 [M − H]− −0.71 445.2956 55 14alpha-hydroxy Sprengerinin C Deglycosidation, hydroxylation
M15 Paris saponin VII_M1 9.74 C27H42O5 446.3027 [M + H]+ −1.88 447.3097 56 Paris saponin VII Deglycosidation, hydroxylation
M16 3-Hydroxypalmitic acid_M2 9.79 C16H30O4 286.2139 [M-H2O-H]− −0.76 267.1964 46.8 3-Hydroxypalmitic acid Oxidation, hydroxylation
M17 Docosa-4,7,10,13,16,19-hexaenoic acid_M1 10.73 C22H32O3 344.2346 [M − H]− −1.55 343.2273 45.5 Docosa-4,7,10,13,16,19-hexaenoic acid Hydroxylation
M18 3-Hydroxypalmitic acid_M1 10.77 C16H30O4 286.2138 [M-H2O-H]− −1.27 267.1962 42.5 3-Hydroxypalmitic acid Oxidation, hydroxylation
M19 Docosa-4,7,10,13,16,19-hexaenoic acid_M2 11 C22H32O3 344.2346 [M − H]− −1.53 343.2273 53.8 Docosa-4,7,10,13,16,19-hexaenoic acid Hydroxylation

HY-I ameliorates renal senescence and pathological injury in aged mice

HY-I efficacy was evaluated through renal function parameters, senescence biomarkers, and histopathological analysis. Intervention with HY-I significantly reduced serum urea nitrogen, creatinine, uric acid, and urinary protein levels in aged mice (Fig. 2A–D), indicating improved age-related renal dysfunction.

Fig. 2.

Fig. 2

HY-I Ameliorates renal senescence and pathological injury in aged mice. A–D Analysis of renal function parameters (creatinine, BUN, urinary protein, uric acid) across experimental groups. n = 6. One-way ANOVA was used. * indicates comparison with the aging model group; *p < 0.05, **p < 0.01, ***p < 0.001; ns indicates no significant difference. E SA-β-gal staining of renal tissues. Scale bars, 100 μm. F, G Renal histopathology assessed by H&E and PAS staining. Scale bars, 100 μm. H Immunofluorescent detection of proliferation marker Ki67. Scale bars, 50 μm. I–K Representative immunoblots of p21 and p16 expression. n = 3. One-way ANOVA was used. * indicates comparison with the aging model group; *p < 0.05, **p < 0.01, ***p < 0.001; ns indicates no significant difference

SA-β-gal staining demonstrated markedly decreased senescent cells in renal tubules following HY-I treatment (Fig. 2E). Histological assessment revealed that HY-I alleviated age-induced tubular pathologies including vacuolar degeneration, tubular atrophy, and brush border loss, as evidenced by H&E and PAS staining (Fig. 2F, G).

Furthermore, HY-I treatment restored the proliferation marker Ki67 (Fig. 2H) while suppressing senescence markers p21 and p16 (Fig. 2I–K). Collectively, these findings demonstrate HY-I effectively mitigates renal senescence in aged mice.

Network pharmacology analysis of HY-I on renal senescence

48 bioactive components of HY-I detectable in serum were selected. After integration and deduplication of the corresponding targets, a total of 681 unique proteins were identified. Venn analysis revealed 420 overlapping targets shared by HY-I and renal aging (Fig. 3A). Following serum-adsorbed compound attribution, a “herb–compound–target–disease” network was constructed (Fig. 3B).

Fig. 3.

Fig. 3

Network pharmacology analysis of HY-I on renal senescence. A Venn diagram of HY-I targets versus kidney aging (KA)-related genes. B HY-I-KA pharmacological network of compound-target interactions. C Core target PPI network after screening. D Top 30 genes in PPI network ranked by degree centrality. E GO enrichment analysis. F KEGG pathway enrichment

The 420 common targets were further analyzed using the STRING database for protein–protein interactions (PPI). Topological analysis in Cytoscape 3.7.1 was performed based on parameters of betweenness centrality, closeness centrality, and degree. Using the median degree as a threshold, 65 core targets were selected for PPI network visualization, where node color and size were scaled according to degree values (Fig. 3C). The top 30 targets, ranked by degree, included IL-6, STAT3, and IL-1β, which are known to play essential roles in inflammation-associated senescence.

Enrichment analysis of the top 30 GO terms ranked by P-value revealed significant enrichment in biological processes such as chromatin remodeling and protein phosphorylation. The main cellular components were the cytoplasm and receptor complexes, while the predominant molecular functions involved protein and enzyme binding (Fig. 3E). Integrating the top 30 key targets identified as functionally important, KEGG pathway analysis further indicated that the JAK-STAT, NOD-like receptor, and NF-κB signaling pathways were prominently involved in the aging process (Fig. 3F).

HY-I attenuates SASP expression in aged renal tubules

Renal tubular epithelial cells, being the most abundant and metabolically active renal cells, are highly susceptible to senescence. SASP—comprising proinflammatory cytokines, chemokines, and growth factors—drives localized inflammation and fibrosis. Network pharmacology predicted HY-I targets SASP components (IL-6, TGFβ1, IL-1β, MMP9) and inflammatory regulators (NF-κB, STAT3, NLRP3), suggesting its anti-senescence mechanism.

To validate HY-I’s effects on tubular SASP, drug-containing serum was applied to senescent tubular cells. SASP expression was assessed via IHC, WB, and ELISA in murine renal tissues and cells.

CCK-8 assays identified 200 mM D-galactose as optimal for HK-2 senescence induction (Fig. 4A). Drug-containing serum (5%-10%) restored cellular viability (Fig. 4B). Subsequent experiments used 5% and 10% concentrations. HY-I-containing serum reduced SA-β-gal-positive cells (Fig. 4C). WB/ELISA analyses of cell lysates, supernatants, and renal homogenates demonstrated HY-I-mediated suppression of SASP factors (Fig. 4D–M). IHC confirmed decreased TGF-β1, IL-6, and IL-1β expression in HY-I-treated kidneys (Fig. 4N). These results indicate HY-I concurrently mitigates tubular senescence and renal SASP.

Fig. 4.

Fig. 4

HY-I attenuates SASP expression in aged renal tubules. A, B CCK-8 assay: Cytotoxicity of D-gal in HK-2 cells and rescue by HY-I-containing serum. (n = 6). C SA-β-Gal staining of senescent cells. Scale bars, 100 μm. D–F WB analysis of TGF-β1 and IL-1β expression in D-gal-treated HK-2 cells with HY-I-containing serum intervention. (n = 3). G IL-6 levels in cell supernatants by ELISA. (n = 3). H–M Renal tissue SASP factors (TNF-α, IL-1β, IL-6, TGF-β1) quantified by ELISA. (n = 6). One-way ANOVA was used. * indicates comparison with the aging model group; *p < 0.05, **p < 0.01, ***p < 0.001; ns indicates no significant difference. N Representative immunohistochemical images of renal SASP factors (IL-1β, IL-6, TGF-β1). Scale bars, 100 μm

HY-I attenuates tubular inflammation and senescence via STAT3/NF-κB/NLRP3 axis

Integrated network pharmacology and experimental validation suggested HY-I modulates inflammation through STAT3-NF-κB-NLRP3 signaling and downstream effectors (CASP1, IL-18). Western blotting demonstrated HY-I significantly reduced phosphorylation of NF-κB and STAT3, while downregulating NLRP3, CASP1, and IL-18 protein expression in renal tissues (Fig. 5A, B).

Fig. 5.

Fig. 5

HY-I attenuates tubular inflammation and senescence via STAT3/NF-κB/NLRP3 Axis. A, B Western blot analysis of STAT3, p-STAT3, NF-κB, p-NF-κB, NLRP3, CASP1, and IL-18 expression in renal tissues. n = 3. One-way ANOVA was used. * indicates comparison with the aging model group; *p < 0.05, **p < 0.01, ***p < 0.001; ns indicates no significant difference. C Multiplex immunofluorescence of renal sections: p-NF-κB (red), p-STAT3 (yellow), NLRP3 (green), DAPI (blue). Scale bars, 50 μm. D Immunofluorescence of CASP1 (red) and IL-18 (green). Scale bars, 50 μm

Multiplex immunofluorescence revealed enhanced nuclear translocation of p-NF-κB and p-STAT3 with concomitant upregulation of NLRP3 and co-expression of CASP1/IL-18 during renal aging. HY-I intervention attenuated these alterations (Fig. 5C, D). These findings indicate HY-I suppresses SASP-associated inflammation by inhibiting STAT3/NF-κB/NLRP3 signaling and downstream CASP1/IL-18 activation.

HY-I attenuates renal fibrosis in aged mice

Senescent cells promote extracellular matrix deposition through SASP-mediated chemokines and inflammatory factors, contributing to fibrotic progression in aging kidneys.

Masson’s trichrome staining revealed reduced collagen deposition in HY-I-treated kidneys (Fig. 6A). Sirius red staining under polarized light demonstrated decreased type I and III collagen accumulation (Fig. 6B). Immunohistochemistry showed attenuated fibronectin diffusion in tubulointerstitial areas (Fig. 6C). Western blotting confirmed downregulation of type I collagen and EMT/fibrosis markers (vimentin, α-SMA) (Fig. 6E).

Fig. 6.

Fig. 6

HY-I attenuates renal fibrosis in aged mice. A, B Masson’s trichrome and Sirius Red staining demonstrating renal collagen deposition. Scale bars, 100 μm. C Representative immunohistochemistry of fibronectin (FN) in renal tissues. Scale bars, 50 μm. D–G Western blot analysis of collagen I, vimentin, and α-SMA expression. (n = 3). One-way ANOVA was used. * indicates comparison with the aging model group; *p < 0.05, **p < 0.01, ***p < 0.001; ns indicates no significant difference

Molecular docking analysis of the interaction between HY-I-derived serum components and potential targets

Key serum-absorbed compounds identified through network pharmacology included arjunolic acid, phloretin, 18alpha-glycyrrhetinic acid, pseudolaric acid C, and luteolin.

Molecular docking using AutoDock demonstrated interactions between these compounds and core targets (NF-κB, STAT3, NLRP3). Among 15 docking configurations (Fig. 7A), multiple exhibited binding energies < -5 kcal/mol, indicating strong binding affinity. Structural visualizations generated in PyMOL (Fig. 7B–D) provide molecular insights into HY-I-mediated suppression of SASP-associated senescence and fibrosis via STAT3/NF-κB/NLRP3 signaling.

Fig. 7.

Fig. 7

Molecular docking analysis of the interaction between HY-I-derived serum components and potential targets. A Binding affinity heatmap of five compounds against three targets. B Molecular docking visualization for NF-κB. C Molecular docking visualization for STAT3. D Molecular docking visualization for NLRP3. E Backbone root mean square deviation (RMSD) of four representative ligand-target complexes over 100 ns molecular dynamics (MD) simulation, evaluating the overall conformational stability of the complexes relative to the initial docking structure. F Radius of gyration (Rg) of the four complexes during 100 ns MD simulation, assessing the compactness and folding state of the protein tertiary structure. G Solvent accessible surface area (SASA) of the four complexes during 100 ns MD simulation, reflecting the solvent exposure level of the protein structure. H Time-dependent changes in the number of intermolecular hydrogen bonds between the target protein and its corresponding ligand during 100 ns MD simulation, characterizing the stability of ligand–protein binding interactions. I Root mean square fluctuation (RMSF) of each amino acid residue of the target protein in the four complexes, quantifying the flexibility of individual protein residues during the simulation. J 2D Gibbs free energy landscape (GEL) and 3D surface visualization of the four complexes, identifying the thermodynamically stable conformation basins of the ligand-bound proteins

We next performed 100 ns all-atom molecular dynamics (MD) simulations on four compound-target complexes with optimal docking affinity (STAT3—18alpha-glycyrrhetinic acid, NLRP3—18alpha-glycyrrhetinic acid, NLRP3-arjunolic acid, NF-κB-pseudolaric acid C) to verify their dynamic binding stability under near-physiological conditions (Fig. 7E–J).

Backbone RMSD analysis (Fig. 7E) confirmed all four complexes reached conformational equilibrium within the simulation period, with no persistent structural drift. The NF-κB-pseudolaric acid C and STAT3—18alpha-glycyrrhetinic acid complexes presented the narrowest fluctuation ranges, indicating superior overall conformational stability.

Consistent with RMSD results, the radius of gyration (Rg, Fig. 7F) and solvent accessible surface area (SASA, Fig. 7G) of all complexes remained stable throughout the simulation, verifying that the target proteins maintained a compact folded state without global unfolding.

Intermolecular hydrogen bond detection (Fig. 7H) showed the NLRP3-arjunolic acid complex maintained the most abundant and continuous hydrogen bond interactions between ligand and protein, while the other three complexes also exhibited sustained hydrogen bond formation as the core driving force for stable ligand anchoring.

RMSF analysis (Fig. 7I) revealed low fluctuation amplitudes of residues within the ligand-binding pocket in all complexes, indicating that ligand binding rigidified the binding region and stabilized the local protein conformation.

Gibbs free energy landscape (GEL) analysis (Fig. 7J) identified well-defined, concentrated low-energy conformational basins for all four complexes, confirming the thermodynamic stability of the ligand-bound states.

Collectively, these MD data validated the stable binding of HY-I’s core active components to their targets at the dynamic molecular level, further supporting the mechanism of HY-I regulating STAT3/NF-κB/NLRP3 signaling to alleviate SASP-related senescence and fibrosis.

Discussion

The kidneys, responsible for concentrating and excreting metabolites, drugs, and toxins, exhibit high metabolic activity that renders them particularly vulnerable to aging [2]. Structural alterations during renal aging—including tubular atrophy and interstitial expansion—significantly increase susceptibility to CKD and accelerate its progression in the elderly [4]. As primary functional units of the kidney, tubular epithelial cells experience diminished regenerative capacity with advancing age and pathological stress [10]. This accumulation of senescent cells ultimately drives renal functional decline. Critically, senescent cells in aged and CKD kidneys establish a pro-inflammatory, pro-fibrotic microenvironment through SASP secretion [11]. Consequently, targeted modulation of SASP-mediated inflammatory/fibrotic mechanisms represents a crucial therapeutic strategy for age-related CKD. Building on our prior clinical evidence demonstrating HY-I-mediated improvement of renal function in stage 2—3 CKD patients [12], the current study establishes that clinically equivalent HY-I doses ameliorate renal aging and functional deterioration in murine models.

Notably, NF-κB serves as the central transcriptional regulator rapidly activated by senescence stimuli, where it directly controls core SASP components including IL-6 and IL-8 [13]. STAT3 further amplifies and sustains SASP transcription through synergistic cooperation with NF-κB [14]. Downstream of this axis, the NLRP3 inflammasome functions as a critical effector: NF-κB/STAT3 signaling induces NLRP3 and pro-IL-1β transcription, while subsequent NLRP3 activation by damage-associated molecular patterns from senescent cells catalyzes proteolytic maturation of highly inflammatory SASP components IL-1β and IL-18—key mediators that potentiate inflammatory/fibrotic cascades [15]. The STAT3/NF-κB/NLRP3 signaling circuit thus forms a self-reinforcing loop that governs SASP initiation, amplification, and maintenance, making it an optimal therapeutic target for age-related renal decline.

Traditional Chinese Medicine (TCM) demonstrates significant efficacy in modulating aging processes and renal pathologies through the polypharmacological actions inherent to multi-component formulations. Astragalus membranaceus extracts enhance physical function in aging murine models by reversing age-related functional decline [16]. Abelmoschus manihot flavonoids mitigate oxidative stress in D-galactose-induced senescence through reducing reactive oxygen species generation [17]. Centella asiatica contributes triterpenoid compounds such as asiaticoside that exert therapeutic effects across diverse age-related conditions including chronic inflammation, skin photoaging, and neurodegenerative disorders [18, 19], while Salvia miltiorrhiza synergizes with Astragalus to potentiate nephroprotective effects via combinatorial regulation [20, 21]. Glycyrrhiza uralensis serves dual roles as both a harmonizing agent and bioactive source with documented anti-inflammatory and antiviral properties [22, 23]. Cultured Cordyceps mycelia (Mortierella sp.)—derived from artificial fermentation of fungal strains isolated from caterpillar larvae—demonstrate established efficacy in clinical renal disease management [24].

In this study, network pharmacology screening identified several key serum-absorbed constituents from HY-I herbal components.

Resveratrol, which has beneficial effects on both inflammation and aging, was selected as a positive control. In our in vivo experiments, high-dose HY‑I intervention showed effects similar to resveratrol in restoring renal function (serum creatinine, uric acid, urinary protein) and reducing the number of senescent kidney cells in aged mice. In terms of improving blood urea nitrogen levels and certain aging molecular markers (Ki67, p16), high-dose HY‑I was superior to resveratrol. Moreover, HE staining revealed that HY‑I was more effective than resveratrol in preserving renal tubular morphology. In our in vitro experiments, HY‑I and resveratrol exhibited comparable effects on improving senescence-associated secretory phenotype (SASP) factors such as inflammatory cytokines; for IL‑18 and other inflammatory factors, HY‑I was slightly more effective than resveratrol alone. These findings suggest that HY‑I not only alleviates aging of the kidney and renal tubular epithelial cells but also has greater potential for improving renal function.

We discovered that HY-I significantly modulates the STAT3/NF-κB/NLRP3-SASP signaling axis, which is critical in renal senescence, with experimental evidence confirming this activity. Molecular docking analysis indicated that five representative compounds derived from the five herbal components of the HY-I formulation interact with STAT3, NF-κB, and NLRP3 through distinct binding modes. For example, Arjunolic acid binding to NF-κB may alter p65 spatial conformation and affect its phosphorylation. Meanwhile, luteolin and other components bind to the pTyr705 pocket in STAT3’s SH2 domain, which could hinder phosphorylation-dependent dimerization and nuclear translocation. NLRP3 assembly may be disrupted by 18α-glycyrrhetinic acid and similar compounds, potentially blocking downstream inflammatory activation. These findings, together with cellular assays and molecular dynamics simulations, suggest a polypharmacological basis for HY-I. This multi-target synergistic mechanism may more effectively block SASP production while conferring additional therapeutic benefits beyond SASP inhibition and improved safety, distinguishing HY-I’s efficacy from single-agent anti-aging drugs such as resveratrol.

HY-I exerts a significant modulatory effect on renal cellular senescence, and these findings provide preliminary mechanistic insights from a multi-target pharmacological perspective. Specifically, HY-I not only effectively suppresses the secretion of senescence-associated secretory phenotype (SASP) factors by renal tubular epithelial cells, but also simultaneously regulates upstream inflammatory triggers. Compared with a single target drug such as resveratrol, which acts on a limited signal pathway, HY-I has advantages in the improvement of some renal function indicators and the protection of renal tubules. Although resveratrol, as a multi‑target inhibitor, provided evidence supporting the inhibitory effect of HY‑I on STAT3/NLRP3, a limitation of this study is the lack of specific STAT3 or NLRP3 inhibitors. Therefore, the specificity of the therapeutic mechanism by which HY‑I targets STAT3/NLRP3 has not been fully established. In summary, the coordinated regulation of the STAT3/NF-κB/NLRP3–SASP axis by HY-I alleviates inflammation and mitigates fibrosis associated with cellular aging, highlighting its potential as a promising therapeutic candidate for the prevention of age-related renal functional decline.

Conclusion

This study demonstrates that HY-I attenuates renal senescence and fibrosis in both in vivo aging models and in vitro senescence systems by inhibiting the STAT3/NF-κB/NLRP3-SASP axis. These protective effects are mediated through constituent-driven suppression of STAT3 phosphorylation, NF-κB nuclear translocation, and NLRP3 inflammasome assembly. Collectively, our findings provide a mechanistic basis for employing HY-I in clinical management of early-stage CKD to protect against age-related renal deterioration, while advancing its therapeutic potential for further development.

Acknowledgements

We would like to acknowledge the teams of Professor Wenbin Shang and Professor Lifeng Zhu from Nanjing University of Chinese Medicine for their valuable assistance with this study.

Abbreviations

CKD

Chronic kidney disease

ECM

Extracellular matrix

SASP

Senescence-associated secretory phenotype

ESKD

End⁃stage kidney disease

KA

Kidney aging

HK-2

Human renal tubular cells-2

Res

Resveratrol

CCK-8

Cell counting kit-8

ELISA

Enzyme-linked immunosorbent assay

H&E

Hematoxylin–eosin staining

PAS

Periodic acid-Schiff staining

SA-β-gal

Senescence-associated ß-galactosidase

PPI

Protein–protein interaction

KEGG

Kyoto encyclopedia of genes and genomes

TCMSP

Traditional Chinese medicine systems pharmacology database and analysis platform

D-gal

D-Galactose

Ki67

Marker of proliferation Ki-67

TGFβ1

Transforming growth factor-beta 1

IL-1β

Interleukin-1β

IL6

Interleukin-6

IL18

Interleukin-18

STAT3

Signal transducer and activator of transcription 3

NF-κB

Nuclear factor kappa-B

NLRP3

NOD-like receptor family pyrin domain containing 3

CASP1

Caspase-1

α-SMA

α-Smooth muscle actin

Author contributions

Kaizhi Wen: Writing—review & editing, Writing—original draft, Validation, Conceptualization. Xiaofan Yin: Formal analysis, Investigation, Conceptualization, Writing—original draft, Funding acquisition. Lingling Sun: Formal analysis, Investigation, Validation. Kena Yu: Investigation, Methodology. Liyan Huang: Investigation. Qin Song: Validation. Buhui Liu: Funding acquisition, Supervision. Xinyuan Cui: Formal analysis. Yue Tu: Writing—review & editing, Funding acquisition, Supervision. Weiming He: Writing—review & editing, Funding acquisition, Supervision, Conceptualization.

Funding

This work was supported by the National Natural Science Foundation of China (Grant numbers: 821742494, 82174472); the Natural Science Foundation of Jiangsu Province (BK20241042); Jiangsu Province Traditional Chinese Medicine Technology Development Plan (QN202331); the Postgraduate Research and Practice Innovation Program of Jiangsu Province (KYCX25_2301); Jiangsu Provincial Medical Innovation Center (NO.202215).

Data availability

Data will be made available on request.

Declarations

Conflict of interest

The authors report no conflicts of interest in this work.

Ethical approval

The study protocol received approval from the Institutional Animal Ethics Committee of Nanjing University of Chinese Medicine under approval number 202411A022, with all procedures complying with animal research guidelines.

Footnotes

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Contributor Information

Yue Tu, Email: tuyue@njucm.edu.cn.

Weiming He, Email: yfy0019@njucm.edu.cn.

References

  • 1.Sundström J, Bodegard J, Bollmann A, Vervloet MG, Mark PB, Karasik A, Taveira-Gomes T, Botana M, Birkeland KI, Thuresson M, Jäger L, Sood MM, VanPottelbergh G, Tangri N (2022) Prevalence, outcomes, and cost of chronic kidney disease in a contemporary population of 2·4 million patients from 11 countries: the CaReMe CKD study. Lancet Reg Health Eur 20:100438 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Rex N, Melk A, Schmitt R (2023) Cellular senescence and kidney aging. Clin Sci (Lond) 137:1805–1821 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Wei X, Hou Y, Long M, Jiang L, Du Y (2023) Advances in energy metabolism in renal fibrosis. Life Sci 312:121033 [DOI] [PubMed] [Google Scholar]
  • 4.Zhang Y, Yu C, Li X (2024) Kidney aging and chronic kidney disease. Int J Mol Sci 25:6585 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Herbein G, Varin A, Fulop T (2006) NF-kappaB, AP-1, zinc-deficiency and aging. Biogerontology 7:409–419 [DOI] [PubMed] [Google Scholar]
  • 6.Wahl D, Risen SJ, Osburn SC, Emge T, Sharma S, Gilberto VS, Chatterjee A, Nagpal P, Moreno JA, LaRocca TJ (2024) Nanoligomers targeting NF-κB and NLRP3 reduce neuroinflammation and improve cognitive function with aging and tauopathy. J Neuroinflammation 21:182 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Han X, Zhang T, Zhang X, Zhang R, Lao K, Mi Y, Gou X (2020) AMPK alleviates oxidative stress-induced premature senescence via inhibition of NF-κB/STAT3 axis-mediated positive feedback loop. Mech Ageing Dev 191:111347 [DOI] [PubMed] [Google Scholar]
  • 8.Wang P, Li Z, Song Y, Zhang B, Fan C (2024) Resveratrol-driven macrophage polarization: unveiling mechanisms and therapeutic potential. Front Pharmacol 15:1516609 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Uddin MJ, Farjana M, Moni A, Hossain KS, Hannan MA, Ha H (2021) Prospective pharmacological potential of resveratrol in delaying kidney aging. Int J Mol Sci 22:8258 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Glassock RJ, Rule AD (2016) Aging and the kidneys: anatomy, physiology and consequences for defining chronic kidney disease. Nephron 134:25–29 [DOI] [PubMed] [Google Scholar]
  • 11.Shrestha N, Chaturvedi P, Zhu X, Dee MJ, George V, Janney C, Egan JO, Liu B, Foster M, Marsala L, Wong P, Cubitt CC, Foltz JA, Tran J, Schappe T, Hsiao K, Leclerc GM, You L, Echeverri C, Spanoudis C, Carvalho A, Kanakaraj L, Gilkes C, Encalada N, Kong L, Wang M, Fang B, Wang Z, Jiao J-A, Muniz GJ, Jeng EK, Valdivieso N, Li L, Deth R, Berrien-Elliott MM, Fehniger TA, Rhode PR, Wong HC (2023) Immunotherapeutic approach to reduce senescent cells and alleviate senescence-associated secretory phenotype in mice. Aging Cell 22:e13806 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Zhao Y, He YN, Gu LN (2025) He WM (2025) Efficacy observation of Huyan I formula on chronic kidney disease in stage 2–3. Shanxi J TCM 41:11 [Google Scholar]
  • 13.Wei L, Yang X, Wang J, Wang Z, Wang Q, Ding Y, Yu A (2023) H3K18 lactylation of senescent microglia potentiates brain aging and Alzheimer’s disease through the NFκB signaling pathway. J Neuroinflammation 20:208 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Han X, Li L, Xie J, Lei Q, Li Y, Liu H, Sun H, Zhang X, Gou X (2024) Vitexin promotes the anti-senescence effect via inhibiting JAK2/STAT3 in D-galactose-induced progeria mice and stress-induced premature senescence. Eur J Pharmacol 980:176865 [DOI] [PubMed] [Google Scholar]
  • 15.Joshi CS, Salazar AM, Wang C, Ligon MM, Chappidi RR, Fashemi BE, Felder PA, Mora A, Grimm SL, Coarfa C, Mysorekar IU (2024) D-mannose reduces cellular senescence and NLRP3/GasderminD/IL-1β-driven pyroptotic uroepithelial cell shedding in the murine bladder. Dev Cell 59:33-47.e5 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Yanghuan Z, Gao D, Yuan Y, Zheng R, Sun M, Jia S, Liu J (2023) Cycloastragenol: a novel senolytic agent that induces senescent cell apoptosis and restores physical function in TBI-aged mice. Int J Mol Sci 24:6554 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Qiu Y, Ai P-F, Song J-J, Liu C, Li Z-W (2017) Total flavonoid extract from Abelmoschus manihot (L.) medic flowers attenuates d-galactose-induced oxidative stress in mouse liver through the Nrf2 pathway. J Med Food 20:557–567 [DOI] [PubMed] [Google Scholar]
  • 18.Bandopadhyay S, Mandal S, Ghorai M, Jha NK, Kumar M, Radha N, Ghosh A, Proćków J, Pérez de la Lastra JM, Dey A (2023) Therapeutic properties and pharmacological activities of asiaticoside and madecassoside: a review. J Cell Mol Med 27:593–608 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Wong JH, Barron AM, Abdullah JM (2021) Mitoprotective effects of Centella asiatica (L.) urb.: anti-inflammatory and neuroprotective opportunities in neurodegenerative disease. Front Pharmacol 12:687935 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Han C, Jiang Y-H, Li W, Liu Y (2021) Astragalus membranaceus and salvia miltiorrhiza ameliorates cyclosporin a-induced chronic nephrotoxicity through the “gut-kidney axis.” J Ethnopharmacol 269:113768 [DOI] [PubMed] [Google Scholar]
  • 21.Yin Z, Tian L, Kou W, Cao G, Wang L, Xia Y, Lin Y, Tang S, Zhang J, Yang H (2025) Xiyangshen sanqi danshen granules attenuated D-gal-induced C57BL/6J mouse aging through the AMPK/SIRT1 signaling pathway. Phytomedicine 136:156213 [DOI] [PubMed] [Google Scholar]
  • 22.Liao Y, Tan R-Z, Li J-C, Liu T-T, Zhong X, Yan Y, Yang J-K, Lin X, Fan J-M, Wang L (2020) Isoliquiritigenin attenuates UUO-induced renal inflammation and fibrosis by inhibiting mincle/syk/NF-kappa B signaling pathway. Drug Des Devel Ther 14:1455–1468 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Pastorino G, Cornara L, Soares S, Rodrigues F, Oliveira MBPP (2018) Liquorice (glycyrrhiza glabra): a phytochemical and pharmacological review. Phytother Res 32:2323–2339 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Yaling Z, Li K, Zhang C, Liao H, Li R (2023) Research progress of Cordyceps sinensis and its fermented mycelium products on ameliorating renal fibrosis by reducing epithelial-to-mesenchymal transition. J Inflammation Res 16:2817–2830 [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

Data will be made available on request.


Articles from Journal of Natural Medicines are provided here courtesy of Springer

RESOURCES