Jian Pi Sheng Sui Gao (JPSSG) alleviation of skeletal myoblast cell apoptosis, oxidative stress, and mitochondrial dysfunction to improve cancer-related fatigue in an AMPK-SIRT1- and HIF-1-dependent manner
Highlight box
Key findings
• JPSSG alleviates skeletal myoblast cell apoptosis, oxidative stress, and mitochondrial dysfunction via AMPK-SIRT1 and HIF-1 to relieve CRF.
What is known and what is new?
• JPSSG possesses good treatment efficacy in patients with CRF.
• This study clarified the potential mechanism of JPSSG in treating CRF through network pharmacology, in vivo, and in vitro experiments.
What is the implication, and what should change now?
• This study outlines the potential mechanism of JPSSG and provides theoretical evidence for its clinical application; however, for a more detailed understanding of this molecular mechanism further exploration and verification in future study are required.
Introduction
Cancer-related fatigue (CRF), which is induced by the cancer itself or cancer-related treatment, is a kind of physical, emotional, or cognitive fatigue (1-3). The incidence of CRF varies across different reports (ranging from 14.0% to 100.0%) due to the different regions, cancer types, and assessment methods in each study (4-6). Concerning the complex pathobiology of CRF, previous evidences indicate that mitochondria modulate several cellular processes (including the production of reactive oxygen species, cell damage, energy production, etc.), leading to skeletal muscle dysfunction and further CRF initiation (7,8). Worryingly, patients with CRF can only gain minimal relief through simple rest, and thus their fatigue symptoms are constant and further disturb their quality of life (9,10). At present, various interventions have been developed for relieving CRF (such as exercise interventions, psychosomatic therapies, psychoeducation, etc.), while there still lacks standardized treatment (11). Additionally, CRF is a leading reason why those with cancer abandon subsequent treatment, which greatly interferes with their prognosis (12). Thus, finding efficient interventions to treat CRF would be helpful for improving the clinical outcomes of patients with cancer.
Jian Pi Sheng Sui Gao (JPSSG), a Chinese traditional herbal paste, consists of 17 kinds of herbs (including Chinemys reevesii, Cervus elaphus, Ligustrum lucidum, Codonopsis, Hordeum vulgare, Citrus reticulata, Lycium barbarum, etc.) (13). Several studies have explored the pleasing treatment efficacy of JPSSG in patients with CRF (14-16). For instance, one study noted the good efficacy of JPSSG to treat CRF in patients with lung cancer, reflected by the declined Piper fatigue scale (PFS) and traditional Chinese medicine (TCM) symptom score in patients who received JPSSG plus chemotherapy (vs. chemotherapy alone) (15). Another study also reported that the CRF degree was ameliorated in patients with cancer who received JPSSG combined with chemotherapy (vs. chemotherapy alone) (14). Nevertheless, although the aforementioned studies supported the clinical efficacy of JPSSG in treating CRF, the underlying mechanism of its effect remains unknown. Network pharmacology analysis, an appropriate approach for modern TCM research, utilizes high-throughput screening analysis and network database retrieval techniques to reveal the network relationship of drug-gene-target-disease interaction (17).
Therefore, network pharmacology analysis, followed by in vivo and in vitro experiments were conducted in this study, aiming to explore the effect of JPSSG on CRF and its potential mechanism. We present the following article in accordance with the ARRIVE reporting checklist (available at https://atm.amegroups.com/article/view/10.21037/atm-22-6611/rc).
Methods
Network pharmacology analysis of JPSSG
The compounds of the JPSSG were retrieved from the Traditional Chinese Medicine Systems Pharmacology Database (TCMSP) of traditional Chinese medicine as previously described (18). A drug likeness (DL) ≥0.18, oral bioavailability (OB) ≥30%, and intestinal epithelial permeability (Caco-2) >0 were employed to identify the candidate compounds (19). After this, the target proteins corresponding to the candidate compounds screened from databases were standardized using UniProt (http://www.uniprot.org/) and Genecard (https://www.genecards.org/). Additionally, CRF-related target genes were mined from Malacards (https://www.malacards.org/) or Genecard. The crossover genes were filtered between the 2 lists. The Search Tool for the Retrieval of Interacting Genes/Proteins (STRING) database (https://string-db.org/) was employed to analyze the protein-protein interaction (PPI) network. The JPSSG- compound-CRF-target network was constructed with Cytoscape 3.2.1. The Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment and Gene Ontology (GO) analysis was carried out with the Database for Annotation, Visualization and Integrated Discovery (DAVID; https://david.ncifcrf.gov/).
Cell culture
The mouse colorectal cancer cell line CT26 and skeletal myoblast cell line C2C12 were obtained from the Cell Bank of the Chinese Academy of Sciences (Shanghai, China). All cells were maintained in Dulbecco’s modified Eagle’s medium (DMEM; Sigma-Aldrich, St. Louis, MO, USA) supplemented with 10% fetal bovine serum (FBS; Gibco, Thermo Fisher Scientific, Waltham, MA, USA) at 37 ℃ in a 5% CO2 atmosphere. The C2C12 cells were seeded in 96-well plates (3×104 cells/well) or 6-well plates (5×105 cells/well) and cultured for 24 h. Afterward, the medium was replaced by DMEM with 2% horse serum (Gibco) for 3 days to induce myotube formation.
Mice
A protocol was prepared before the study without registration. Animal experiments were performed under a project license (No. SPF2017096) approved by the Animal Care and Use Committee of Guangzhou University of Chinese Medicine, in compliance with the institutional guidelines for the care and use of animals. The 6-week-old female Balb/c mice weighing 20–22 g were acquired from SLAC Laboratory Animal Co. (Shanghai, China), and caged at a controlled temperature and humidity and a light-dark cycle. No criteria were set for including or excluding animals. Additionally, no humane end points were established.
Establishment of CRF mouse models and JPSSG treatment
In brief, a total of 12 BALB/c mice were injected with CT26 cells [1×106 cells in 0.1 mL of phosphate-buffered saline (PBS)] by intraperitoneal injection and randomly divided into the model group (n=6) and the JPSSG group (n=6). Randomization numbers (1:1:1 random assignment) were generated through the computer and sealed in opaque envelops. The mice in the model group were given oral gavage of PBS, and the mice in the JPSSG group received oral gavage of JPSSG (3 g/kg/day) (the dose was determined by pre-experiment). The prescription of JPSSG was prepared by the pharmacy department of our hospital. The mice in the control group (n=6) were injected with 0.1 mL of PBS by intraperitoneal injection and given oral gavage of the same volume as that of PBS. The oral gavage was performed every day for 15 days. The body weight was measured every 2 days. The behavioral tests were performed before euthanasia according to previous studies (20,21) and included the open field test (OFT), exhaustive swimming test (EST), and tail suspension test (TST). The mice were euthanized, and the peripheral blood, tumor tissues, and gastrocnemius samples were collected. No experimental unit was excluded.
Biochemical index measurements in vivo
The serum was collected from peripheral blood by centrifugation at 2,500 rpm for 20 min. The levels of hemoglobin (Hb), hematocrit (HCT), alanine aminotransferase (ALT), aspartate aminotransferase (AST), total protein (TP), albumin (ALB), globulin (GLOB), creatinine (CR), and blood urea nitrogen (BUN) were detected by hemoglobin analyzer (URIT, China) or fully automatic animal biochemistry analyzer (URIT Medical Electronic Co., Ltd., Guilin, China). The adenosine triphosphate (ATP), superoxide dismutase (SOD), and malondialdehyde (MDA) level in the gastrocnemius samples were detected using reagent kits (Jiancheng Medical Technology Co., Ltd., Jiancheng, China) in accordance with the kits’ protocols.
Hematoxylin and eosin staining and electron microscopy
The gastrocnemius samples were fixed using 4% paraformaldehyde and embedded. Hematoxylin and eosin (HE) staining was performed using an HE Staining Kit (Servicebio Technology Co., Ltd., Wuhan, China). The cross-section areas of myofiber were measured. The gastrocnemius samples were fixed in glutaraldehyde buffer (Solarbio Life Science and Technology, Beijing, China) for 6 h at 4 ℃ and dehydrated through graded alcohol and propylene oxide. The samples were embedded and sliced. The slices were then double-stained using uranyl acetate and lead citrate (HEAD Biotechnology Co., Ltd., Beijing, China) and visualized with an electron microscope (Hitachi, Tokyo, Japan).
Drug sensitivity assay of JPSSG in C2C12 myotubes
The C2C12 myotubes were treated with 0, 2.5, 5, 10, or 20 mg/mL of JPSSG (the concentrations were determined by pre-experiment). After being cultured for 24 h, cell counting kit-8 (CCK-8; Yeasen Biotechnology, Shanghai, China) was adopted to assess cell viability in accordance with the kit’s protocol.
JPSSG treatment in C2C12 myotubes
The CT26 cells were plated and cultured for 24 h. The medium was then collected and mixed with fresh medium (1:2) as CT26 conditioned medium (CM). The C2C12 myotubes were stimulated with 100 µM H2O2 (Sigma-Aldrich) for 2 h to construct a mitochondrial damage model (22). Briefly, the C2C12 myotubes were divided into 5 groups: a control group (without treatment), a CM group (cultured with CM), a CM + JPSSG group (cultured with CM containing 5 mg/mL of JPSSG), a H2O2 group (stimulated with 100 µM of H2O2), and a H2O2 + JGSSP group (stimulated with 100 µM of H2O2 and treated with 5 mg/mL of JPSSG).
Detection of cell viability and cell apoptosis in C2C12 myotubes
The cell viability of C2C12 myotubes at 24 h after treatment were assessed by CCK-8 assay as mentioned above. The cell apoptosis of C2C12 myotubes at 48 h after treatment was assessed with an Annexin V-FITC/PI Kit (Jiancheng Medical Technology Co., Ltd.). In brief, the C2C12 myotubes were collected and resuspended in annexin V (AV) binding buffer. The AV-fluorescein isothiocyanate (AV-FITC) and propidium iodide (PI) reagent were then added into cell suspension for 20 min at 37 ℃. Flow cytometry analysis was accomplished with a FACSCanto (BD Biosciences, Franklin Lakes, NJ, USA).
Detection of ATP, SOD, MDA, and ROS level in C2C12 myotubes
The ATP, SOD, and MDA level of C2C12 myotubes at 48 h after treatment were detected using reagent kits as mentioned above. The ROS level was assessed using ROS Assay Kit (Beibo Biotechnology, Shanghai, China). Briefly, after 48 h of treatment, the C2C12 myotubes were treated with 10 µM of 2',7'-dichlorodihydrofluorescein diacetate (DCFH-DA) for 30 min at 37 ℃. Cells were then washed with PBS, and the fluorescent images were analyzed using a fluorescence microscope (Olympus, Tokyo, Japan).
Mitochondrial membrane potential in C2C12 myotubes
The mitochondrial membrane potential (MMP) of C2C12 myotubes was determined at 48 h after treatment using an MMP Kit with JC-1 (Jiancheng Medical Technology Co., Ltd.) according to the kit’s protocol. The fluorescent images were taken, and the radio of red/green fluorescence intensity was used to measure changes in MMP.
Western blot assay
After 48-h treatment, the total protein of gastrocnemius samples and C2C12 myotubes were isolated by RIPA (Beyotime Biotechnology, Haimen, China). Sodium dodecyl-sulfate polyacrylamide gel electrophoresis (SDS-PAGE) was conducted, and the protein was transferred to polyvinylidene fluoride membranes (BioSharp, Tallinn, Estonia). After being blocked, the membranes were incubated with primary and secondary antibody, successively. Finally, an ECL Kit (Sangon Biotech, Shanghai, China) was used for the detection of protein bands. The antibodies were purchased from Abcam (Cambridge, UK), including p-adenosine 5’-monophosphate-activated protein kinase (AMPK; 1:1,000 and 1:2,000), silent information regulator factor 2-related enzyme 1 (SIRT1) (1:2,000), hypoxia-inducible factor-1α (HIF-1α; 1:500), p-phosphatidylinositol-4,5-bisphosphate 3-kinase (PI3K; 1:2,000 and 1:1,000), p-protein kinase B (AKT; 1:2,000 and 1:1,000), cleaved caspase-3 (C-caspase 3) (1:1,000), B-cell lymphoma-2 (Bcl2, 1:1,000), GAPDH (1:5,000), and goat anti-rabbit immunoglobin G (IgG; H + L) horseradish peroxidase antibody (1:10,000).
Statistical analysis
GraphPad Prism 8.0 software (GraphPad Software Inc., San Diego, CA, USA) was used for all statistical analysis in this study. The weight of tumor was analyzed using unpaired Student t-test. One-way analysis of variance (ANOVA) with Dunnett or Tukey multiple comparisons test was used for other analyses. P<0.05 was considered as statistically significant.
Results
Network pharmacology analysis of JPSSG
A total of 617 active compounds of JPSSG were obtained through searching the TCMSP; http://lsp.nwu.edu.cn/index.php). Following this, 87 candidate bioactive compounds that met the conditions (DL ≥0.18, OB ≥30%, and Caco-2 >0) were finally identified for further analysis; their detailed information is listed in Table 1.
Table 1
Mol ID | Molecule name | OB (%) | DL |
---|---|---|---|
MOL005030 | Gondoic acid | 30.7 | 0.2 |
MOL006944 | 8-octadecenoic acid | 33.13 | 0.14 |
MOL000359 | Sitosterol | 36.91 | 0.75 |
MOL004328 | Naringenin | 59.29 | 0.21 |
MOL005100 | 5,7-dihydroxy-2-(3-hydroxy-4-methoxyphenyl) chroman-4-one | 47.74 | 0.27 |
MOL005815 | Citromitin | 86.9 | 0.51 |
MOL005828 | Nobiletin | 61.67 | 0.52 |
MOL000006 | Luteolin | 36.16 | 0.25 |
MOL000449 | Stigmasterol | 43.83 | 0.76 |
MOL001006 | Poriferasta-7,22E-dien-3beta-ol | 42.98 | 0.76 |
MOL002140 | Perlolyrine | 65.95 | 0.27 |
MOL002879 | Diop | 43.59 | 0.39 |
MOL003036 | Zinc03978781 | 43.83 | 0.76 |
MOL003896 | 7-Methoxy-2-methyl isoflavone | 42.56 | 0.2 |
MOL004355 | Spinasterol | 42.98 | 0.76 |
MOL004492 | Chrysanthemaxanthin | 38.72 | 0.58 |
MOL005321 | Frutinone A | 65.9 | 0.34 |
MOL006554 | Taraxerol | 38.4 | 0.77 |
MOL006774 | Stigmasta-7-enol | 37.42 | 0.75 |
MOL007059 | 3-beta-Hydroxymethyllenetanshiquinone | 32.16 | 0.41 |
MOL007514 | Methyl icosa-11,14-dienoate | 39.67 | 0.23 |
MOL008391 | 5alpha-Stigmastan-3,6-dione | 33.12 | 0.79 |
MOL008397 | Daturilin | 50.37 | 0.77 |
MOL008400 | Glycitein | 50.48 | 0.24 |
MOL008407 | (8S,9S,10R,13R,14S,17R)-17-[(E,2R,5S)-5-ethyl-6-methylhept-3-en-2-yl]-10,13-dimethyl-1,2,4,7,8,9,11,12,14,15,16,17-dodecahydrocyclopenta[a]phenanthren-3-one | 45.4 | 0.76 |
MOL008411 | 11-hydroxyrankinidine | 40 | 0.66 |
MOL000098 | Quercetin | 46.43 | 0.28 |
MOL000358 | Beta-sitosterol | 36.91 | 0.75 |
MOL000953 | Clr | 37.87 | 0.68 |
MOL001323 | Sitosterol alpha1 | 43.28 | 0.78 |
MOL001494 | Mandenol | 42 | 0.19 |
MOL001495 | Ethyl linolenate | 46.1 | 0.2 |
MOL001979 | Lan | 42.12 | 0.75 |
MOL003578 | Cycloartenol | 38.69 | 0.78 |
MOL005406 | Atropine | 45.97 | 0.19 |
MOL005438 | Campesterol | 37.58 | 0.71 |
MOL006209 | Cyanin | 47.42 | 0.76 |
MOL007449 | 24-methylidenelophenol | 44.19 | 0.75 |
MOL008173 | Daucosterol_qt | 36.91 | 0.75 |
MOL009604 | 14b-pregnane | 34.78 | 0.34 |
MOL009612 | (24R)-4alpha-Methyl-24-ethylcholesta-7,25-dien-3beta-ylacetate | 46.36 | 0.84 |
MOL009615 | 24-Methylenecycloartan-3beta,21-diol | 37.32 | 0.8 |
MOL009617 | 24-ethylcholest-22-enol | 37.09 | 0.75 |
MOL009618 | 24-ethylcholesta-5,22-dienol | 43.83 | 0.76 |
MOL009620 | 24-methyl-31-norlanost-9(11)-enol | 38 | 0.75 |
MOL009621 | 24-methylenelanost-8-enol | 42.37 | 0.77 |
MOL009622 | Fucosterol | 43.78 | 0.76 |
MOL009631 | 31-norcyclolaudenol | 38.68 | 0.81 |
MOL009633 | 31-norlanost-9(11)-enol | 38.35 | 0.72 |
MOL009634 | 31-norlanosterol | 42.2 | 0.73 |
MOL009635 | 4,24-methyllophenol | 37.83 | 0.75 |
MOL009639 | Lophenol | 38.13 | 0.71 |
MOL009640 | 4alpha,14alpha,24-trimethylcholesta-8,24-dienol | 38.91 | 0.76 |
MOL009641 | 4alpha,24-dimethylcholesta-7,24-dienol | 42.65 | 0.75 |
MOL009642 | 4alpha-methyl-24-ethylcholesta-7,24-dienol | 42.3 | 0.78 |
MOL009644 | 6-fluoroindole-7-dehydrocholesterol | 43.73 | 0.72 |
MOL009646 | 7-O-Methylluteolin-6-C-beta-glucoside_qt | 40.77 | 0.3 |
MOL009650 | Atropine | 42.16 | 0.19 |
MOL009651 | Cryptoxanthin monoepoxide | 46.95 | 0.56 |
MOL009653 | Cycloeucalenol | 39.73 | 0.79 |
MOL009656 | (E,E)-1-ethyl octadeca-3,13-dienoate | 42 | 0.19 |
MOL009662 | Lantadene A | 38.68 | 0.57 |
MOL009677 | Lanost-8-en-3beta-ol | 34.23 | 0.74 |
MOL009678 | Lanost-8-enol | 34.23 | 0.74 |
MOL009681 | Obtusifoliol | 42.55 | 0.76 |
MOL010234 | Delta-Carotene | 31.8 | 0.55 |
MOL000546 | Diosgenin | 80.88 | 0.81 |
MOL001792 | Dfv | 32.76 | 0.18 |
MOL002714 | Baicalein | 33.52 | 0.21 |
MOL002959 | 3'-methoxydaidzein | 48.57 | 0.24 |
MOL003889 | Methylprotodioscin_qt | 35.12 | 0.86 |
MOL004941 | (2R)-7-hydroxy-2-(4-hydroxyphenyl)chroman-4-one | 71.12 | 0.18 |
MOL006331 | 4',5-dihydroxyflavone | 48.55 | 0.19 |
MOL009760 | Sibiricoside A_qt | 35.26 | 0.86 |
MOL009766 | Zhonghualiaoine 1 | 34.72 | 0.78 |
MOL001689 | Acacetin | 34.97 | 0.24 |
MOL002975 | Butin | 69.94 | 0.21 |
MOL003378 | 1,3,8,9-tetrahydroxybenzofurano[3,2-c]chromen-6-one | 33.94 | 0.43 |
MOL003389 | 3'-o-methylorobol | 57.41 | 0.27 |
MOL003398 | Pratensein | 39.06 | 0.28 |
MOL003402 | Demethylwedelolactone | 72.13 | 0.43 |
MOL003404 | Wedelolactone | 49.6 | 0.48 |
MOL000422 | Kaempferol | 41.88 | 0.24 |
MOL005169 | (20S)-24-ene-3,20-diol-3-acetate | 40.23 | 0.82 |
MOL005190 | Eriodictyol | 71.79 | 0.24 |
MOL005195 | Syringaresinol diglucoside_qt | 83.12 | 0.8 |
MOL005209 | Lucidusculine | 30.11 | 0.75 |
JPSSG, Jian Pi Sheng Sui Gao; OB, oral bioavailability; DL, drug likeness.
Among the aforementioned 87 bioactive compounds of JPSSG, 248 potential targets were identified. After removal of the duplicate data and standardized processing, 132 CRF-related JPSSG targets were subsequently obtained, which were then used to construct the PPI network diagram (Figure 1A) and the corresponding hub diagram (Figure 1B) using STRING database analysis. Furthermore, the JPSSG-CRF interaction targets were analyzed through the PPI network via Cytoscape 3.2.1 software (Figure 1C). The network included 198 nodes and 412 edges, which indicated that JPSSG treated CRF through multicomponent, multitarget, and integrated regulation.
Based on the KEGG enrichment analysis, 10 underlying pathways were obtained (conforming to P≤0.01 and gene frequency >0.09%), including pathways in cancer, hepatitis B, prostate cancer, HIF-1 signaling pathway, tumor necrosis factor (TNF) signaling pathway, PI3K-AKT signaling pathway, proteoglycans in cancer, influenza A, human T-lymphotropic virus type 1 (HTLV-I) infection, and AMPK signaling pathway (Figure 1D). Moreover, the GO enrichment analysis was also performed, and 10 biological processes were found to be enriched (conforming to P≤0.01 and gene frequency >0.065%), including response to drug, positive regulation of transcription from RNA polymerase II promoter, negative regulation of apoptotic process, positive regulation of transcription, DNA template, positive regulation of gene expression, response to ethanol, aging, response to hypoxia, response to lipopolysaccharide, and negative regulation of cell proliferation (Figure 1E). Based on the above analysis results, AMPK-SIRT1, HIF-1, and PI3K-AKT were selected as the potential signaling pathways mediated by JPSSG for the subsequent in vivo and in vitro studies.
Influence of JPSSG on fatigue in CRF mouse models
The OFT revealed that distance traveled (P<0.001; Figure 2A), mobile time (P<0.001, Figure 2B), and number of grid crossings (P<0.001; Figure 2C) were all decreased in the model group compared to the control group, indicating the successful establishment of the CRF mouse models. Meanwhile, distance traveled (P<0.050; Figure 2A) and mobile time (P<0.001; Figure 2B) were both increased in the JPSSG group compared to the model group, but the number of grid crossings was not different between the JPSSG group and the model group (P>0.050; Figure 2C). For the EST, the swimming time was reduced in the model group compared to control group (P<0.010) but was elevated in the JPSSG group compared to the model group (P<0.050; Figure 2D). For the TST, the absolute rest time was prolonged in the model group (vs. control group; P<0.001) and shortened in the JPSSG group (vs. model group; P<0.050; Figure 2E). These findings showed that JPSSG could alleviate CRF to some extent.
Influence of JPSSG on the weight and blood biochemical indices of the CRF mouse models
The body-weight curves suggested that the body weights of mice in the control group, model group, and JPSSG group all slightly fluctuated within 15 days after injection (Figure 3A). Specifically, on day 7, 9, 11, 13, and 15, the body weights of mice in JPSSG group showed a decreasing trend (without statistical significance) than did those in the model group. The tumor weight was not different between the JPSSG group and model group (P>0.050; Figure 3B), whereas, the gastrocnemius weight was reduced in the model group (vs. control group; P<0.001) but was elevated in the JPSSG group (vs. model group; P<0.050; Figure 3C), indicating that JPSSG could ameliorate the myophagism of gastrocnemius.
Hb (P<0.001; Figure 3D) and HCT (P<0.001; Figure 3E) were reduced in the model group compared to the control group, but they showed an increasing trend (lacking statistical significance) in the JPSSG group compared with model group (both P>0.050), indicating that JPSSG had the potency to suppress cancer-induced anemia. ALT (P<0.010; Figure 3F) and AST (P<0.010; Figure 3G) were increased in the model group compared to the control group but were decreased in the JPSSG group compared to the model group (both P values <0.050). TP (P<0.001), ALB (P<0.001), and ALB/GLOB (P<0.050) were decreased in the model group (vs. control group), while GLOB (P>0.050) showed no difference between these 2 groups (Figure 3H-3K). Only ALB was upregulated in the JPSSG group compared with the model group (P<0.050), while TP, GLOB, and ALB/GLOB were not different between these 2 groups (all P>0.050). Additionally, CR showed an increasing trend (without statistical significance) in the model group (vs. control group; P>0.050), and BUN was higher in the model group than in the control group (P<0.010); nonetheless, CR and BUN levels showed no difference between the JPSSG group and model group (both P>0.050; Figure 3L,3M). The results suggest that JPSSG can improve hepatic function impairment, while its effect on relieving renal injury was relatively weak.
Influence of JPSSG on oxidative stress and mitochondrial function in CRF mouse models
ATP (P<0.010, Figure 4A) and SOD (P<0.010, Figure 4B) were reduced while MDA (P<0.010, Figure 4C) was elevated in the model group (vs. control group); ATP and SOD were upregulated in the JPSSG group (vs. model group; both P<0.050), whereas MDA was not different between these 2 groups (P>0.050), indicating that JPSSG could enhance mitochondrial function and alleviate oxidative stress in gastrocnemius. Moreover, the cross-sectional area of the gastrocnemius was decreased in the model group compared with the control group (P<0.001) but was increased in the JPSSG group compared to the model group (P<0.050; Figure 4D). Moreover, the HE staining of the gastrocnemius samples suggested that JPSSG could suppress the damage to skeletal muscle cells (Figure 4E). Additionally, the electron microscopy results of gastrocnemius mitochondria revealed that the shape and number of mitochondria were partially improved by JPSSG (Figure 4F).
Determination of JPSSG-mediated pathways in CRF mouse models
The AMPK-SIRT1, HIF-1, and PI3K-AKT signaling pathway-related proteins were determined by Western blot (Figure 5A). p-AMPK (P<0.010; Figure 5B) and SIRT1 (P<0.010; Figure 5C) were both decreased in the model group (vs. control group) while they were elevated in the JPSSG group (vs. model group; both P<0.050); HIF-1α was not different between the model group and control group (P>0.050) but was elevated in the JPSSG group (vs. model group; P<0.010; Figure 5D); p-PI3K (P<0.050, Figure 5E) and p-AKT (P<0.050; Figure 5F) were downregulated in the model group (vs. control group), but they were not different between the JPSSG group and the model group (both P>0.050), suggesting that AMPK-SIRT1 and HIF-1 might be the main signaling pathways regulated by JPSSG.
Influence of JPSSG on cell viability and cell apoptosis in C2C12 myotubes
C2C12 cell viability was not different under different JPSSG concentrations (0, 2.5, 5, 10, and 20 mg/mL; all P>0.050, Figure 6A). C2C12 cell viability was decreased in the CM group and H2O2 group (vs. control group) (both P<0.001) while it was elevated in the CM + JPSSG group (vs. CM group) and H2O2 + JPSSG group (vs. H2O2 group; both P<0.050; Figure 6B). With regard to cell apoptosis, the apoptosis rate was increased in the CM group and H2O2 group (vs. control group; both P<0.001); meanwhile, it was reduced in the CM + JPSSG group (vs. CM group; P<0.050) and H2O2 + JPSSG group (vs. H2O2 group; P<0.010; Figure 6C,6D). According to Western blot (Figure 6E), C-caspase3 was elevated in the CM group (P<0.010) and H2O2 group (P<0.001; vs. control group) but was decreased in the CM + JPSSG group (vs. CM group; P<0.050) and H2O2 + JPSSG group (vs. H2O2 group; P<0.010; Figure 6F). However, Bcl2 was decreased in the CM group and H2O2 group (vs. control group; both P<0.001), while it was upregulated in the CM + JPSSG group (vs. CM group) and H2O2 + JPSSG group (vs. H2O2 group; both P<0.050; Figure 6G). The results indicate that JPSSG facilitated cell viability and suppressed cell apoptosis in C2C12 myotubes.
Influence of JPSSG on oxidative stress and mitochondrial function in C2C12 myotubes
ATP was reduced in the CM group (P<0.010) and H2O2 group (P<0.001; vs. control group) but was elevated in the CM + JPSSG group (vs. CM group) and H2O2 + JPSSG group (vs. H2O2 group; both P<0.050; Figure 7A), suggesting that JPSSG could enhance mitochondrial function in C2C12 cells. SOD was downregulated in the CM group and H2O2 group (vs. control group; both P<0.001) but it was upregulated in the CM + JPSSG group (vs. CM group) and H2O2 + JPSSG group (vs. H2O2 group; both P<0.050; Figure 7B). Conversely, MDA (Figure 7C) and the relative ROS level (Figure 7D,7E) were increased in the CM group (vs. control group; MDA: P<0.010; ROS: P<0.001) and H2O2 group (vs. control group; both P<0.001), while they were decreased in the CM + JPSSG group (vs. CM group) and H2O2 + JPSSG group (vs. H2O2 group; all P<0.050), indicating that JPSSG could restrain oxidative stress levels of gastrocnemius. MMP, as reflected by the red:green fluorescence ratio, was downregulated in the CM group and H2O2 group (vs. control group; both P<0.001) and was upregulated in the CM + JPSSG group (vs. CM group; P<0.010) and H2O2 + JPSSG group (vs. H2O2 group; P<0.050; Figure 7F,7G), implying that JPSSG could suppress the reduction of MMP in cell myotubes.
Determination of JPSSG-mediated pathways in C2C12 myotubes
According to Western blot, (Figure 8A), p-AMPK was reduced in the CM group (P<0.010) and H2O2 group (P<0.001; vs. control group) but was elevated in the CM+JPSSG group (vs. CM group) and H2O2 + JPSSG group (vs. H2O2 group; both P values <0.050; Figure 8B). Similarly, SIRT1 was downregulated in the CM group (P<0.050) and H2O2 group (P<0.010; vs. control group) but was upregulated in the H2O2 + JPSSG group (vs. H2O2 group; P<0.050), with no difference being found between the CM + JPSSG group and CM group (P>0.050; Figure 8C). Furthermore, HIF-1α was not different between the CM group and control group (P>0.050) but was elevated in the H2O2 group (vs. control group; P<0.010); meanwhile, HIF-1α was elevated in the CM + JPSSG group (vs. CM group) and H2O2 + JPSSG group (vs. H2O2 group; both P<0.010; Figure 8D), indicating that JPSSG could bolster the antioxidative stress function via regulating the AMPK-SIRT1 and HIF-1 pathways.
Discussion
As JPSSG comprises 17 different kinds of herbs, its underlying biological mechanism is complex. Through network pharmacology analysis, this study found that JPSSG contained a total of 87 potential active compounds (mainly including citromitin, nobiletin, frutinone A, daturilin, diosgenin, demethylwedelolactone, syringaresinol-diglucoside), 132 JPSSG-CRF interaction targets, 10 potential pathways (mainly including PI3K-AKT, HIF-1, and AMPK signaling pathways), and 19 biological processes (mainly including hypoxia response, lipopolysaccharide response, negative cell proliferation). These findings clarify the JPSSG-CRF interaction network and provide reliable evidence for subsequent in vivo and in vitro experiments.
The current study observed that JPSSG attenuated CRF in mice reflected by increased distance traveled, mobile time, swimming time, and decreased absolute rest time in the JPSSG group (vs. model group), which revealed the potential treatment efficacy of JPSSG in those with CRF. These findings might be explained as follows: (I) as disclosed in our in vitro experiment, JPSSG promoted cell viability and reduced cell apoptosis of gastrocnemius cells; thus, the musculoskeletal function was improved (23). (II) The steroidal components (such as daturilin and diosgenin) of JPSSG ameliorated the inflammatory response and circadian rhythm dysfunction, while the latter 2 factors (inflammatory response and circadian rhythm dysfunction) participated in the deterioration of CRF (24-26). (III) Based on the network pharmacological analysis results, JPSSG mediated the AMPK-SIRT1 and HIF-1 signaling pathways, which protected the gastrocnemius from hypoxia injury and further induced fatigue resistance (27,28). Combining the above reasons, we can see that JPSSG reduced the fatigue behavioral phenotype in CRF mouse models.
Oxidative stress represents the imbalance between ROS and the antioxidant system and can lead to further molecular damage (29,30). Some previous studies have noted that oxidative stress is a key contributor to the formation and progression of cancer and that a high level of oxidants can cause muscle weakness and further aggravate fatigue degree (31-34). This study found that JPSSG suppressed oxidative stress and mitochondrial injury in both CRF mouse models and C2C12 myotubes through upregulating ATP and SOD but downregulating MDA, which is the same mechanism present in patients with CRF. Possible explanations for this might be the following: (I) coumarin components (such as frutinone A and demethylwedelolactone) in JPSSG could limit the oxidative stress response and hypoxia injury via regulating matrix metalloproteinases (35,36). Consequently, JPSSG could suppress oxidative stress in CRF mouse models and C2C12 myotubes. (II) The bioactive components of JPSSG could inactivate CYP1A1 and CYP1A2, thus ameliorating oxidative stress and mitochondrial injury (37,38). Therefore, JPSSG inhibited oxidative stress and mitochondrial dysfunction in CRF mouse models and C2C12 myotubes.
AMPK-SIRT1, which is regarded as the control node of mitochondria, is a key signaling pathway that regulates the whole-body energy metabolism (including lipid, glucose metabolism, and other biological processes) via binding to adenine nucleotides (27,39). A previous study reported that the AMPK-SIRT1 pathway is involved in the acute metabolic response of skeletal muscles via increasing the number of mitochondria (40). As for the HIF-1 signaling pathway, it is a major regulator in maintaining oxygen homeostasis in a hypoxic environment by regulating ROS level (41). One study reported that the activation of HIF-1 signaling pathway could reduce the susceptibility of muscles to oxidative stress (28). In view of these previous findings, we speculated that AMPK-SIRT1 and HIF-1 pathways might be implicated in the effect of JPSSG on CRF, but the relevant evidence was limited. In this study, JPSSG was shown to activate AMPK-SIRT1 and HIF-1 signaling pathways, and this might be the underlying mechanism for the ameliorating effect of JPSSG on CRF.
Some limitations of this study should be noted. Firs, the correlation of the core active compounds of JPSSG with the potential pathways (such as AMPK-SIRT1 and HIF-1 signaling pathways) was not examined in this study, and thus further research is warranted. Second, the relatively small sample size (N=18) inevitably weakened the statistical power. Third, CRF is induced by both the cancer itself and cancer-related treatment, but the current study did not include a cancer-related treatment intervention; therefore, the effect of JPSSG on cancer-related treatment-induced CRF should be examined in future research. Fourth, this study only set one JPSSG dose, and the comparison of effect on CRF between high and low dose JPSSG should be investigated in further studies.
Conclusions
Collectively, JPSSG alleviates CRF via improving skeletal myoblast cell apoptosis, oxidative stress, and mitochondrial dysfunction in an AMPK-SIRT1- and HIF-1-dependent manner.
Acknowledgments
Funding: None.
Footnote
Reporting Checklist: The authors have completed the ARRIVE reporting checklist. Available at https://atm.amegroups.com/article/view/10.21037/atm-22-6611/rc
Data Sharing Statement: Available at https://atm.amegroups.com/article/view/10.21037/atm-22-6611/dss
Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://atm.amegroups.com/article/view/10.21037/atm-22-6611/coif). The authors have no conflicts of interest to declare.
Ethical Statement:
Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0/.
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(English Language Editor: J. Gray)