Next Article in Journal
Intermittent Fasting: Does It Affect Sports Performance? A Systematic Review
Previous Article in Journal
Plant-Based Diets and Metabolic Syndrome Components: The Questions That Still Need to Be Answered—A Narrative Review
Previous Article in Special Issue
Virgin Camellia Seed Oil Improves Glycolipid Metabolism in the Kidney of High Fat-Fed Rats through AMPK-SREBP Pathway
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Nutrients
Volume 16
Issue 1
10.3390/nu16010166
nutrients-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Protective Effect of Artocarpus heterophyllus Lam. (Jackfruit) Polysaccharides on Liver Injury Induced by Cyclophosphamide in Mice

by
Ming Cheng
1,2,†,
Yifan Zheng
1,3,†,
Gang Wu
1,4,
Lehe Tan
1,
Fei Xu
1,4,5,
Yanjun Zhang
1,4,5,
Xiaoai Chen
1,4,5 and
Kexue Zhu
1,4,5,*
1
Spice and Beverage Research Institute, Chinese Academy of Tropical Agricultural Sciences, Wanning 571533, China
2
School of Food Science and Engineering, Hainan University, Haikou 570228, China
3
College of Food Science and Engineering, Jilin Agricultural University, Changchun 130118, China
4
National Center of Important Tropical Crops Engineering and Technology Research, Wanning 571533, China
5
Key Laboratory of Processing Suitability and Quality Control of the Special Tropical Crops of Hainan Province, Wanning 571533, China
*
Author to whom correspondence should be addressed.
†
These authors have contributed equally to this work and share first authorship.
Nutrients 2024, 16(1), 166; https://doi.org/10.3390/nu16010166
Submission received: 29 October 2023 / Revised: 27 December 2023 / Accepted: 27 December 2023 / Published: 4 January 2024
(This article belongs to the Special Issue The Beneficial Effects of Active Dietary Ingredients in Plants on Chronic Diseases)
Browse Figures
Versions Notes

Abstract

:
In recent years, Artocarpus heterophyllus Lam. (jackfruit) polysaccharides (namely JFP-Ps) have attracted much attention due to their multiple biological activities. This study aimed to explore the protective effects and the underlying mechanisms of JFP-Ps on cyclophosphamide (Cp)-induced liver damage. The protective effect of JFP-Ps was evaluated using HE staining, antioxidant testing, enzyme-linked immunosorbent assay (ELISA), real-time quantitative polymerase chain reaction (RT-qPCR), Western blot and ultra-performance liquid chromatography equipped with quadrupole time-of-flight mass spectrometry (UPLC-Q-TOF-MS/MS) metabolomics analysis. The results showed that Cp caused pathological liver damage, activated oxidative stress and downregulated cytokine expression, while JFP-Ps treatment was found to exert antioxidant effects and play immune regulatory roles through mitogen-activated protein kinase/nuclear factor-κB (MAPK/NF-κB) related inflammation and cell apoptosis pathways to protect the Cp-induced liver injury. Metabolomic results showed that the liver-protective effects of JFP-Ps were mainly related to aminoacyl transfer ribonucleic acid (tRNA) biosynthesis, sphingolipid metabolism, purine metabolism and the citrate cycle. These results indicate that JFP-Ps have great potential application in alleviating liver injury.

1. Introduction

The liver is an important metabolic organ and is responsible for the synthesis, decomposition, transformation and excretion of many molecules and other metabolic processes [1]. Therefore, the liver is the main target of drugs and toxins and is damaged through drug-associated adverse effects [2]. Cyclophosphamide (Cp), a cell cycle non-specific drug, is widely used in antitumor therapy due to its ability to inhibit the proliferation of cancer cells [3]. However, Cp is hepatotoxic and can damage normal hepatocytes. It has been reported that Cp can be metabolized into active substances, such as phosphoramidic mustard and acrolein, under the action of cytochrome P450, which catalyzes the alkylation reaction between these metabolites and the guanine base of DNA [4], inhibiting the synthesis of DNA and RNA and causing DNA damage, leading to oxidative stress and cytotoxic effects [5].
Polysaccharides are natural polymer compounds that are widespread in animals, plants and microorganisms. Some exhibited antioxidant, anti-inflammatory, immune regulation and liver protection activities and have become a research hotspot in various fields [6,7]. Jackfruit is a tropical fruit native to the Western Ghats in India and has been introduced and cultivated in tropical and subtropical countries, such as Bangladesh, Myanmar, Sri Lanka, Malaysia, Indonesia, Philippines and Thailand. It was imported to China thousands of years ago and has become one of the commercial crops cultivated in Hainan, Guangdong, Guangxi, Fujian and Taiwan provinces [8]. Our research group previously purified a polysaccharide from Artocarpus heterophyllus Lam. (jackfruit) pulp (JFP-Ps), with a molecular weight of 1668 kDa and strong antioxidant activity [9]. It has been reported that JFP-Ps increased the abundance of beneficial gut bacteria and restored the gut microbiota of obese rats, which may have an impact on health [10]. In addition, JFP-Ps activated the peroxisome proliferator activated receptor (PPAR) and adenosine monophosphate-activated protein kinase (AMPK) signaling pathways to alleviate non-alcoholic fatty liver disease [11].
At present, little is known about the effect and mechanism of JFP-Ps on liver injury. Therefore, this work aimed to evaluate the hepatoprotective effect of JFP-Ps against cp-induced liver injury in mice. A metabolomics method based on ultra-performance liquid chromatography equipped with quadrupole time-of-flight mass spectrometry (UPLC-Q-TOF-MS/MS) was used to identify endogenous metabolites and related metabolic pathways. This study provides a theoretical basis for the development of JFP-Ps as a potential natural compound for the treatment of liver injury.

2. Materials and Methods

2.1. Materials and Reagents

The JFP-Ps were extracted, purified and prepared according to our previous method at the Spice and Beverage Research Institute, Chinese Academy of Tropical Agricultural Sciences [9].
Malonic dialdehyde (MDA), superoxide dismutase (SOD), catalase (CAT) and glutathione peroxidase (GSH-Px) assay kits were purchased from Suzhou Geruisi Biotechnology Co., Ltd. (Suzhou, China). Tumor necrosis factor alpha (TNF-α), interleukin-2 (IL-2), interleukin-6 (IL-6), interleukin-10 (IL-10) and interferon gamma (IFN-γ) assay kits were purchased from Shanghai Enzyme-linked Biology Co., Ltd. (Shanghai, China). Primers were purchased from Shenggong Biotechnology Co., Ltd. (Shanghai, China). Polyclonal antibodies of β-actin (20536-1-AP), IκBα (10268-1-AP), nuclear factor kappa-B (NF-κB) p65(10745-1-AP), p38 MAPK (14064-1-AP), JNK (24164-1-AP) and anti-rabbit IgG (SA00001-2) were purchased from Proteintech Group, Inc. (Wuhan, China). Phospho-p38 MAPK (p-p38, AP0526) was purchased from ABclonal, Inc. (Wuhan, China), phospho-JNK (p-JNK, ab76572) was purchased from Abcam (Shanghai) Trading Co., Ltd. (Shanghai, China). Phospho-NF-κB p65 (p-p65, AF5875) and polyvinylidene fluoride (PVDF) membrane were purchased from Beyotime Biotechnology Co., Ltd. (Shanghai, China).

2.2. Animal Experimental Design

The experimental animals were kept in accordance with the National Guidelines for Experimental Animal Care and Use, and the procedure was approved by the Animal Ethical Committee of Hainan Medical University (Permit # HYLL-2023-462). Fifty male BALB/C mice were supplied by Hunan Slac Laboratory Animal Co. Ltd. (Changsha, China), with the certificate number SCXK (Xiang) 2019–0004. Mice were fed with sufficient chow and water in a laboratory environment for acclimatization. After adaptation for 1 week, 40 mice were selected to induce liver injury by Cp using intraperitoneal injection, and the remaining 10 mice were given physiological saline as the normal control group (NC). After three days, the 40 Cp-induced liver injury mice were equally separated into four groups. (1) Model control group (MC): given physiological saline; (2) JFP-Ps low-dose group (LG): 50 mg JFP-Ps/kg body weight; (3) JFP-Ps medium-dose group (MG): 100 mg JFP-Ps/kg body weight; (4) JFP-Ps high-dose group (HG): 200 mg JFP-Ps/kg body weight. After JFP-Ps intervention for one week, all mice were anesthetized with 5% chloral hydrate after 12 h of fasting, and then sacrificed via cervical dislocation.

2.3. Histopathological Observation

The liver samples were fixed in 4% paraformaldehyde and then dehydrated with alcohol, embedded in paraffin, cut into 4 μm slices and stained with hematoxylin and eosin (H&E). The samples were observed under a light microscope (Nikon, Tokyo, Japan) and photographed.

2.4. Determination of Biochemical Indicators

Liver samples were homogenized in phosphate-buffered saline (PBS, pH 7.4) and centrifuged at 2500× g for 20 min to collect supernatants for further determination of the contents of MDA, TNF-α, IL-6, IL-2 and IFN-γ, as well as the activities of SOD, CAT and GSH-Px, according to the manufacturer’s instructions.

2.5. Real-Time Quantitative PCR

Total RNA in the liver was extracted with Trizol and cDNA was prepared using BeyoRTTM III first-strand synthesis kit (Beyotime Biotechnology Co., Ltd., Shanghai, China). A three-step approach was used for target genes amplification. Relative mRNA expression level was calculated using the 2−ΔΔCt method, with β-actin used for normalization. The primer information is listed in Table 1.

2.6. Western Blot

Liver sample were homogenized and centrifuged at 12,000× g, 4 °C for 10 min in 4 °C to collect supernatants. The protein concentration in the supernatants was measured and adjusted to 3.5 μg/μL. Equal amounts of denatured proteins were separated using 12% SDS-PAGE and transferred onto a 0.45 µm PVDF membrane. Then, the PVDF membrane was blocked with 5% skim milk and incubated with primary antibodies. Lastly, the PVDF membrane was incubated with the secondary antibody for an hour to photograph the band. The antibodies used were β-actin (1:2000), IκB α (1:2000), p65 (1:2000), p-p65 (1:1000), p38 (1:1000), p-p38 (1:2000), JNK (1:2000), p-JNK (1:5000) and secondary antibodies (anti-rabbit IgG, 1:2000). The gray value was measured using Image J.

2.7. UPLC-Q-TOF-MS/MS Analysis

Liver samples were homogenized in methanol, ethanol and distilled water at a ratio of 2:2:1 and ultrasonicated for 10 min. The resulting mixture was centrifuged at 12,000× g, 4 °C for 15 min, and the supernatant was collected. The sample (3 μL) was separated on an Agilent 1290 ultra-high performance liquid chromatography system using Eclipse Plus C18 at 35 °C with 0.1% formic acid solution (mobile phase A) and acetonitrile (mobile phase B) at a flow rate of 0.4 mL/min. A 35 min gradient program was set as follows: 0–1.5 min 5% B, 1.5–15 min 5–60% B, 15–25 min 60–100% B, 25–30 min 100% B, 30–30 min 100–5% B, and 30–35 min 5% B.
Mass spectrometry (MS) data were obtained using an Agilent 6530B Q-TOF mass spectrometer (Agilent Technologies, Santa Clara, CA, USA) in positive and negative electrospray ionization (ESI) modes. The drying gas temperature was 325 °C; wavelength was 250 nm; cone voltage was 65 V; attenuation was 1000 mAU; draw speed was 100 μL/min; eject speed was 400 μL/min; MS scan range was from 50 to 1200 m/z; primary mass spectrometry scan was 2 spectra/s and MS scan time was 4 spectra/s.

2.8. Statistical Analysis

Results are presented as the mean ± SEM. Data were analyzed using one-way ANOVA followed by Duncan’s multiple range test using SPSS Statistics 26 (IBM Inc., Armonk, New York, NY, USA). A p value < 0.05 indicated a significant difference.
The UPLC-Q-TOF-MS data were collected using Masshunter (Agilent Technologies, Inc.), processed using Profinder (Agilent Technologies, Inc.) and normalized and filtered using Mass Profiler Professional (MPP, Agilent Technologies, Inc.). Principal component analysis (PCA) and orthogonal partial least-squares discriminant analysis (OPLS-DA) were used to identify the differences in metabolites of different groups based on FC (Fold change) > 2 and p < 0.05. The identified metabolites were determined through searching databases and confirmed using UPLC-Q-TOF-MS/MS.

3. Results

3.1. Effects of JFP-Ps on the Histopathology of the Liver

Histopathological examination shows that Cp causes liver damage. As shown in Figure 1, the hepatocytes in the NC group show normal histological structure. However, in the MC group, hepatocytes are scattered and structurally abnormal, with necrotic hepatocytes having small fragmented nuclei and inflammatory-infiltrating hepatocytes. A large number of fat droplets were deposited in the portal vein, and the small spaces in the portal vein became congested and inflamed. After treatment with different doses of JFP-Ps, the morphology and structure of the liver cells were alleviated to varying degrees compared to those of the MC group. Inflammation and cavitation were restored, and portal vein fat deposition was reduced.

3.2. Effect of JFP-Ps on Oxidative Stress in the Liver

The effects of JFP-Ps on oxidative stress were studied through measuring the level of MDA and the activities of SOD, CAT and GSH-Px in the liver homogenate. As shown in Table 2, compared with the NC group, the content of MDA in the MC group was significantly increased (p < 0.05), while the activities of SOD, CAT and GSH-Px were significantly decreased (p < 0.01). The contents of MDA in the liver homogenate of the JFP-Ps groups were lower than those of the MC group, but there were no significant differences (p > 0.05). The activities of SOD, CAT and GSH-Px tended to increase compared to those in the MC group (p < 0.05). These results suggest that JFP-Ps may regulate oxidative stress responses and attenuate liver damage.

3.3. Effect of JFP-Ps on the Level of Cytokines in the Liver

The level of cytokines in the liver homogenate was measured using ELISA. Compared with the NC group, the level of IL-6 was significantly decreased in the MC group (p < 0.05) and the levels of IL-2 and TNF-α also decreased in the MC group, but there was no significant difference (p > 0.05, Table 3). The level of IFN-γ in the MC group was higher than that in the NC group (p < 0.05). After intervention with different doses of JFP-Ps, the levels of IL-2, IL-6, TNF-α and IFN-γ were reversed to varying degrees compared with those in the MC group.

3.4. Effect of JFP-Ps on mRNA Expression of Inflammation-Related Genes in the Liver

As shown in Figure 2, compared with the NC group, the expression levels of IFN-γ and IL-2 mRNA in the MC group were significantly increased (p < 0.01), while the expression levels of TNF-α, IL-6 and IL-10 mRNA were significantly reduced (p < 0.05). After treatment with JFP-Ps at different doses, the mRNA expression levels of IL-2 and IFN-γ were significantly decreased compared to those in the MC group (p < 0.05), while the mRNA expression levels of TNF-α, IL-6 and IL-10 were significantly increased compared to those in the MC group (p < 0.05). The increased expression of IFN-γ and IL-2 mRNA and the decreased expression of IL-10 mRNA in the MC group indicate that liver tissue may be damaged via inflammation.
In addition, the mRNA expression levels of p65, p38 and JNK proteins were measured. The results showed that their mRNA expression levels in the MC group were significantly downregulated (p < 0.05) compared with those in the NC group. After the JFP-Ps intervention, the mRNA expression levels were restored compared to those in the MC group (p < 0.05).

3.5. Effect of JFP-Ps on Protein Expression of the Proteins Involved in Inflammation-Related Pathways in the Liver

The results of the Western blot showed that JFP-Ps intervention downregulated the expression levels of p-p65/p65 protein and phosphorylated p-p38/p38 protein (p < 0.05), while upregulating IκB-α protein and p-JNK/JNK protein expression levels (p < 0.05) (Figure 3). These results indicate that JFP-Ps can regulate the MAPK apoptosis pathway and inhibit the NF-κB/p65 inflammatory pathway to protect the liver.

3.6. Metabolic Profile of UPLC-Q-TOF-MS in the Liver

UPLC-Q-TOF-MS was used to collect data from the liver extract (Figure 4). The peak numbers, positions, and intensities of the five different treatment groups showed significant differences, indicating significant changes in the types and quantities of metabolites in the liver samples from different groups. Quality control was conducted on the obtained primary data using t-test (Table 4). A total of 227 substances were found in the positive mode (ESI+) (p < 0.05), while 398 substances were found in the negative mode (ESI−) (p < 0.05). The contents of these substances in the treatment groups were visualized using heat maps.

3.7. Multivariate Statistical Analysis

The PCA and OPLS-DA showed good intergroup differences and intragroup clustering among liver metabolites in different treatment groups (Figure 5). The R2 and Q2 values of the PCA model in ESI+ were 0.544 and 0.335, respectively, while the R2X, R2Y and Q2 values of the OPLS-DA model were 0.527, 0.894 and 0.718, respectively. The R2 and Q2 values of the PCA model in ESI− were 0.531 and 0.345, respectively, while the R2X, R2Y and Q2 values of the OPLS-DA model were 0.51, 0.938 and 0.75, respectively. The results suggest that the interpretability and predictability of the model were acceptable. The OPLS-DA model was tested for 200 times using displacement tests. The R2Y and Q2Y values of ESI+ were 0.576 and −0.394, respectively, and the R2Y and Q2Y values of ESI− were 0.656 and −0.36, respectively, indicating that the model did not overfit and the results are reliable. The PCA maps show a good separation between the NC group and the MC group.
To make the results more reliable, OPLS-DA was used for analysis. As shown in the OPLS-DA map, although the separation between the LG and MG groups and the MC group was still not significant in ESI+, there were significant intergroup differences and intragroup clustering in ESI−. These results indicate that there are certain differences in metabolites among the different groups. The metabolites in the liver under the Cp induced liver injury group were different from those in the normal liver group and could be regulated through JFP-Ps intervention. High doses of JFP-Ps may have a significant impact on the changes in these liver metabolites.

3.8. Identification of Metabolites

All detected metabolites were screened for differential metabolites based on FC (Fold change) > 2 and p < 0.05 (Figure 6). It was found that there were 92 differential metabolites in ESI+ and 154 in ESI− between the NC and MC groups. There were 52 differential compounds in ESI+ and 81 in ESI− between the MC and LG groups, 59 differential compounds in ESI+ and 92 in ESI− between the MC and MG groups and 91 differential compounds in ESI+ and 113 in ESI− between the MC and HG groups. Through analyzing these differential compounds using a Veen map, it was found that there were seven common differentials in each group in ESI+, 42 unique differentials in NC vs. MC, four unique differentials in MC vs. LG, eight unique differentials in MC vs. MG and 28 unique differentials in MC vs. HG; In ESI−, there were 12 common differences in each group, 83 unique differences in NC vs. MC, eight unique differences in MC vs. LG, 10 unique differences in MC vs. MG and 22 unique differences in MC vs. HG. These results indicate that the liver metabolites are significantly altered in Cp-induced liver injury mice, and JFP-Ps intervention can improve metabolic disorders in the liver caused by Cp.
The MS/MS information was extracted, and the differential metabolites were further confirmed using the METLIN and HMDB databases. A total of 31 differential metabolites were identified in the liver of mice with Cp-induced liver injury in both ESI+ and ESI− (Table 5 and Table 6). These substances mainly include amino acids, spermidine, niacinamide, xanthine, hypoxanthine, adenine, deoxyguanosine, glutathione, sphinganine, sphingosine, phytosphingosine, glucosylceramide, indole-3-carboxaldehyde and succinic acid.

3.9. Metabolic Pathway Analysis

Metabolic pathway analysis was conducted on the screened differential metabolites. As shown in Figure 7 and Table 7, the metabolic pathways in the liver related to JFP-Ps intervention in Cp-induced liver injury mice mainly include aminoacyl tRNA biosynthesis, sphingolipid metabolism, purine metabolism, glutathione metabolism, arginine biosynthesis, arginine and proline metabolism and the citrate cycle.

4. Discussion

Cp induced hepatotoxicity including liver necrosis, inflammation and oxidative damage. MDA is the final product of lipid peroxidation; SOD is an antioxidant enzyme that can promote the disproportionation of superoxide into hydrogen peroxide to resist oxygen free radicals; and GSH-Px and CAT can protect cell structure and membrane function via catalyzing the decomposition of hydrogen peroxide [12]. The present study showed that the MDA level in the MC group was increased, while the activities of SOD, CAT and GSH-Px were decreased. However, the oxidative stress indicators in the JFP-Ps groups were alleviated and approached those of the NC group, which may be related to the free radical scavenging activity of JFP-Ps.
The inflammatory cytokines reflect the immune state to a certain extent and play an essential role in the immune response [13]. TNF-α is a multifunctional cytokine that stimulates the expression of a series of inflammatory mediators to regulate inflammation [14]. IFN-γ is mainly secreted by natural killer cells and has antiviral, immune regulation and other active functions [15]. IL-2 is a necessary cytokine for T cell proliferation and has an inductive effect on cells and memory cell generation [16]. IL-6 plays a key regulatory function in immunity and is involved in the development, maturation, and sustained antibody production of B cells [17]. It has been reported that Lycium ruthenicum Murr. polysaccharide enhanced serum cytokine expression in immunocompromised mice [18], which is consistent with our results, suggesting that JFP-Ps may exert regulatory effects on inflammation and immune function through regulating the secretion of these cytokines in the liver of Cp-exposed mice.
Liver damage is induced via the release of inflammatory cytokines, activation of apoptosis pathway, etc. [19]. The NF-κB signaling pathway is closely related to immunity, inflammation and cell apoptosis [20]. Cui et al. [21] reported that the polysaccharides from Caulis spatholobi had a protective effect mainly through regulating NF-κB signaling pathway in the intestinal mucosa of Cp-exposed chickens. The MAPK family, including ERK, JNK and p38, plays an important role in regulating cell apoptosis, cell cycle, cell growth inhibition and differentiation, as well as in mediating autophagy [22]. The activation of p38 signaling has been shown to induce the expression of pro-inflammatory cytokines, while JNK signaling under stress stimulation can induce inflammation or cell apoptosis [23]. The present study found that the liver damage was associated with the degradation of IκB-α protein and activation of the NF-κB inflammatory pathway, while JFP-Ps exerted a protective effect on the liver through inhibiting the p-p65/p65 and p-p38/p38 pathways and activating the p-JNK/JNK pathway.
Aminoacyl tRNA is the substrate for translation and is synthesized via matching amino acids with tRNA containing corresponding anticodons through aminoacyl tRNA synthase (ARS) [24]. ARS participates in translation and serves as a signaling molecule in the development of immune cells in various immune diseases to mediate immune responses [25]. Inflammatory signals can induce the phosphorylation of ARS and regulate the cascade reaction of various cytokines and MAPK and other cellular signaling pathways [26]. Ascophyllum nodosum polysaccharide has been reported to inhibit the progression of inflammation mainly through regulating inflammation-related signals, including phenylalanine, tryptophan biosynthesis, and aminoacyl tRNA biosynthesis [27]. Consistent with a previous study, JFP-Ps treatments altered the metabolism of various amino acids, including histidine, phenylalanine, methionine, isoleucine, lysine, proline and tryptophan, which are mainly related to the aminoacyl tRNA biosynthesis.
Arginine serves as a component of protein synthesis, and acts as a metabolic substrate for immune cells [28]. Arginine can be metabolized to nitric oxide (NO) by nitric oxide synthase (NOS), and the abnormal synthesis of NO can induce tissue damage, while arginase could act as a competitive enzyme to compete with arginine to prevent the generation of NO [29]. Arginine can modulate innate immune responses through modulating the MAPK signaling pathway [30]. Our results show that the metabolic product of arginine biosynthesis is imbalanced in the liver of Cp-exposed mice.
Sphingolipids are common components of eukaryotic cell membranes. Extracellular stimuli, such as cytokines and cellular stress, can disrupt normal cell homeostasis and disrupt sphingolipid metabolism. Ceramide and sphingosine are metabolites of sphingolipids that act as key signaling molecules in immunity and inflammation [31]. Changes in ceramide level may affect the interaction between lipids and proteins within the membrane, thereby affecting the transmission of intracellular signals [32]. Polysaccharides obtained from Suanzaoren decoction have been reported to reduce the concentrations of phytosphingosine, sphingosine and ceramide, inducing neuronal cell death as a mechanism of immune deficiency [33]. An abnormal sphingolipid metabolism was found in Cp-exposed mice, and JFP-Ps attenuated the expression of sphingosine, sphinganine, phytosphingosine and ceramide in the present study.
In general, purine nucleotides are regenerated through recycling pathways by hypoxanthine guanine phosphoribosyltransferase and adenine phosphoribosyltransferase [34]. Hypoxanthine can be oxidized by xanthine oxidase to form xanthine and guanine, which in turn can respectively generate hypoxanthine mononucleotide and guanylate to fulfill the purine requirements within cells [35]. We analyzed the metabolites (xanthine, hypoxanthine, adenine, guanosine and inosine) involved in purine metabolism. It was confirmed that Cp treatment caused oxidative damage to mouse liver, leading to an imbalance in purine metabolism, and JFP-Ps were beneficial for restoring this damage.
Glutathione (GSH) is a tripeptide mainly synthesized in the liver and acts as an antioxidant [36]. In addition, GSH is essential for activating T lymphocytes and multiple signaling pathways, including NF-κB, p38 and JNK [37]. The citric acid (TCA) cycle has emerged as an energy metabolism hub and a regulator of immune responses in most eukaryotes. Mitochondria are critically involved in cell proliferation, death, differentiation and immunity via driving macrophage polarization through IL-6, and via activating mitochondrial signaling through inflammatory factors like TNF-α [38]. Succinate, which is formed in the TCA cycle, accumulates under inflammatory or stress conditions, and is involved in macrophage activation [39]. Fumarate is considered anti-inflammatory, and its degradation is detrimental to the host and abrogates trained immunity [39]. In the present study, JFP-PS attenuated liver injury, which may be associated with the TCA cycle.

5. Conclusions

JFP-Ps have a hepatoprotective effect on Cp-induced liver injury via inhibiting peroxidative damage and regulating the expression of related genes. UPLC-Q/TOF-MS/MS-based metabolomics results showed that the liver-protective effects of JFP-Ps were mainly related to aminoacyl tRNA biosynthesis, sphingolipid metabolism, purine metabolism, glutathione metabolism, arginine biosynthesis, arginine and proline metabolism and the citric acid cycle. The results of this Cp model indicate that JFP-Ps may have the potential to alleviate liver injury. Whether this effect can be transferred to other liver noxae and whether it can be applied to Cp therapy without impeding its therapeutic goals, needs to be evaluated in further studies.

Author Contributions

Conceptualization, M.C., Y.Z. (Yifan Zheng) and K.Z.; methodology, M.C., Y.Z. (Yifan Zheng), F.X. and X.C.; writing—original draft preparation, M.C. and Y.Z. (Yifan Zheng); data curation, L.T. and Y.Z. (Yanjun Zhang); writing—review and editing, M.C., Y.Z. (Yifan Zheng) and K.Z.; supervision, G.W. and L.T.; funding acquisition, K.Z. All authors have read and agreed to the published version of the manuscript.

Funding

This work was financially supported by the Key Research and Development Project of Hainan Province (No. ZDYF2020218), the Hainan Natural Science Foundation Innovation Research Team Project (No. 322CXTD525), the Central Public-interest Scientific Institution Basal Research Fund for Chinese Academy of Tropical Agricultural Sciences (No. 1630142022009), and the Chinese Academy of Tropical Agricultural Sciences for Science and Technology Innovation Team of the National Tropical Agricultural Science Center (NO. CATASCXTD202304).

Institutional Review Board Statement

All animal care and procedures were strictly conducted according to the protocols approved by the Animal Ethical Committee of Hainan Medical University (Permit # HYLL-2023-462).

Informed Consent Statement

Not applicable.

Data Availability Statement

The data sets generated during and/or analyzed during the current study are either shown in the manuscript or are available from the corresponding author on reasonable request.

Acknowledgments

We thank Qibing Liu and Tao Yang for providing guidance on animal experiments.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Jia, H.M.; Li, Q.; Zhou, C.; Yu, M.; Yang, Y.; Zhang, H.W.; Ding, G.; Shang, H.; Zou, Z.M. Chronic unpredictive mild stress leads to altered hepatic metabolic profile and gene expression. Sci. Rep. 2016, 6, 23441. [Google Scholar] [CrossRef] [PubMed]
  2. Villanueva-Paz, M.; Morán, L.; López-Alcántara, N.; Freixo, C.; Andrade, R.J.; Lucena, M.I.; Cubero, F.J. Oxidative stress in drug-induced liver injury (DILI): From mechanisms to biomarkers for use in clinical practice. Antioxidants 2021, 10, 390. [Google Scholar] [CrossRef] [PubMed]
  3. Li, C.; Duan, S.; Li, Y.; Pan, X.; Han, L. Polysaccharides in natural products that repair the damage to intestinal mucosa caused by cyclophosphamide and their mechanisms: A review. Carbohydr. Polym. 2021, 261, 117876. [Google Scholar] [CrossRef] [PubMed]
  4. Fouad, A.A.; Qutub, H.O.; Al-Melhim, W.N. Punicalagin alleviates hepatotoxicity in rats challenged with cyclophosphamide. Environ. Toxicol. Pharmacol. 2016, 45, 158–162. [Google Scholar] [CrossRef] [PubMed]
  5. Abdelfattah-Hassan, A.; Shalaby, S.I.; Khater, S.I.; El-Shetry, E.S.; Abd El Fadil, H.; Elsayed, S.A. Panax ginseng is superior to vitamin E as a hepatoprotector against cyclophosphamide-induced liver damage. Complement. Ther. Med. 2019, 46, 95–102. [Google Scholar] [CrossRef] [PubMed]
  6. Yu, Y.; Shen, M.; Song, Q.; Xie, J. Biological activities and pharmaceutical applications of polysaccharide from natural resources: A review. Carbohydr. Polym. 2018, 183, 91–101. [Google Scholar] [CrossRef] [PubMed]
  7. Su, Y.; Li, L. Structural characterization and antioxidant activity of polysaccharide from four auriculariales. Carbohydr. Polym. 2020, 229, 115407. [Google Scholar] [CrossRef] [PubMed]
  8. Zhu, K.; Yao, S.; Zhang, Y.; Liu, Q.; Xu, F.; Wu, G.; Dong, W.; Tan, L. Effects of in vitro saliva, gastric and intestinal digestion on the chemical properties, antioxidant activity of polysaccharide from Artocarpus heterophyllus Lam. (Jackfruit) Pulp. Food Hydrocoll. 2019, 87, 952–959. [Google Scholar] [CrossRef]
  9. Zhu, K.; Zhang, Y.; Nie, S.; Xu, F.; He, S.; Gong, D.; Wu, G.; Tan, L. Physicochemical properties and in vitro antioxidant activities of polysaccharide from Artocarpus heterophyllus Lam. pulp. Carbohydr. Polym. 2017, 155, 354–361. [Google Scholar] [CrossRef]
  10. Zhu, K.; Fan, H.; Zeng, S.; Nie, S.; Zhang, Y.; Tan, L.; Li, C.; Xu, F.; Liu, Q.; Wu, G. Polysaccharide from Artocarpus heterophyllus Lam. (jackfruit) pulp modulates gut microbiota composition and improves short-chain fatty acids production. Food Chem. 2021, 364, 130434. [Google Scholar] [CrossRef]
  11. Zeng, S.; Chen, Y.; Wei, C.; Tan, L.; Li, C.; Zhang, Y.; Xu, F.; Zhu, K.; Wu, G.; Cao, J. Protective effects of polysaccharide from Artocarpus heterophyllus Lam. (jackfruit) pulp on non-alcoholic fatty liver disease in high-fat diet rats via PPAR and AMPK signaling pathways. J. Funct. Foods. 2022, 95, 105195. [Google Scholar] [CrossRef]
  12. Amien, A.I.; Fahmy, S.R.; Abd-Elgleel, F.M.; Elaskalany, S.M. Renoprotective effect of Mangifera indica polysaccharides and silymarin against cyclophosphamide toxicity in rats. J. Basic Appl. Zool. 2015, 72, 154–162. [Google Scholar] [CrossRef]
  13. Cheng, Y.; Liu, L.; Mo, S.; Gao, J.; Zhang, H.; Zhang, H.; Zhang, C.; Song, X.; Li, L.; Geng, Z. The immunomodulatory effects of phellodendri cortex polysaccharides on cyclophosphamide-induced immunosuppression in mice. Evid.-Based Complement. Altern. Med. 2021, 2021, 3027708. [Google Scholar] [CrossRef] [PubMed]
  14. Schwabe, R.F.; Brenner, D.A. Mechanisms of liver injury. I. TNF-α-induced liver injury: Role of IKK, JNK, and ROS pathways. Am. J. Physiol.-Gastroint. Liver Physiol. 2006, 290, G583–G589. [Google Scholar] [CrossRef] [PubMed]
  15. Chen, X.; Nie, W.; Fan, S.; Zhang, J.; Wang, Y.; Lu, J.; Jin, L. A polysaccharide from Sargassum fusiforme protects against immunosuppression in cyclophosphamide-treated mice. Carbohydr. Polym. 2012, 90, 1114–1119. [Google Scholar] [CrossRef]
  16. Abbas, A.K.; Trotta, E.; Simeonov, D.R.; Marson, A.; Bluestone, J.A. Revisiting IL-2: Biology and therapeutic prospects. Sci. Immunol. 2018, 3, eaat1482. [Google Scholar] [CrossRef] [PubMed]
  17. Schmidt-Arras, D.; Rose-John, S. IL-6 pathway in the liver: From physiopathology to therapy. J. Hepatol. 2016, 64, 1403–1415. [Google Scholar] [CrossRef] [PubMed]
  18. Gong, Y.; Wu, J.; Li, S.T. Immuno-enhancement effects of Lycium ruthenicum Murr. polysaccharide on cyclophosphamide-induced immunosuppression in mice. Int. J. Clin. Exp. Med. 2015, 8, 20631–20637. [Google Scholar]
  19. Song, Y.; Zhang, C.; Wang, C.; Zhao, L.; Wang, Z.; Dai, Z.; Lin, S.; Kang, H.; Ma, X. Ferulic acid against cyclophosphamide-induced heart toxicity in mice by inhibiting NF-κB pathway. Evid.-Based Complement. Altern. Med. 2016, 2016, 1261270. [Google Scholar] [CrossRef]
  20. Luedde, T.; Schwabe, R.F. NF-κB in the liver-linking injury, fibrosis and hepatocellular carcinoma. Nat. Rev. Gastroenterol. Hepatol. 2011, 8, 108–118. [Google Scholar] [CrossRef]
  21. Cui, Y.; Sun, W.; Li, Q.; Wang, K.; Wang, Y.; Lv, F.; Chen, X.; Peng, X.; Wang, Y.; Li, J.; et al. Effects of Caulis Spatholobi polysaccharide on immunity, intestinal mucosal barrier function, and intestinal microbiota in cyclophosphamide-induced immunosuppressive chickens. Front. Vet. Sci. 2022, 9, 833842. [Google Scholar] [CrossRef]
  22. Huang, G.; Shi, L.Z.; Chi, H. Regulation of JNK and p38 MAPK in the immune system: Signal integration, propagation and termination. Cytokine 2009, 48, 161–169. [Google Scholar] [CrossRef] [PubMed]
  23. Sui, X.; Kong, N.; Ye, L.; Han, W.; Zhou, J.; Zhang, Q.; He, C.; Pan, H. p38 and JNK MAPK pathways control the balance of apoptosis and autophagy in response to chemotherapeutic agents. Cancer Lett. 2014, 344, 174–179. [Google Scholar] [CrossRef] [PubMed]
  24. Ibba, M.; Soll, D. Aminoacyl-tRNA synthesis. Annu. Rev. Biochem. 2000, 69, 617–650. [Google Scholar] [CrossRef] [PubMed]
  25. Nie, A.; Sun, B.; Fu, Z.; Yu, D. Roles of aminoacyl-tRNA synthetases in immune regulation and immune diseases. Cell Death Dis. 2019, 10, 901. [Google Scholar] [CrossRef] [PubMed]
  26. Lee, E.; Kim, S.; Kim, M.H. Aminoacyl-tRNA synthetases, therapeutic targets for infectious diseases. Biochem. Pharmacol. 2018, 154, 424–434. [Google Scholar] [CrossRef] [PubMed]
  27. Wang, L.; Yan, C.; Wang, L.; Ai, C.; Wang, S.; Shen, C.; Tong, Y.; Song, S. Ascophyllum nodosum polysaccharide regulates gut microbiota metabolites to protect against colonic inflammation in mice. Food Funct. 2023, 14, 810–821. [Google Scholar] [CrossRef]
  28. Marti, I.L.A.; Reith, W. Arginine-dependent immune responses. Cell. Mol. Life Sci. 2021, 78, 5303–5324. [Google Scholar] [CrossRef]
  29. Das, P.; Lahiri, A.; Lahiri, A.; Chakravortty, D. Modulation of the arginase pathway in the context of microbial pathogenesis: A metabolic enzyme moonlighting as an immune modulator. PLoS Pathog. 2010, 6, e1000899. [Google Scholar] [CrossRef]
  30. Morris, S.J. Arginine: Master and commander in innate immune responses. Sci. Signal. 2010, 3, pe27. [Google Scholar] [CrossRef]
  31. Hla, T.; Dannenberg, A.J. Sphingolipid signaling in metabolic disorders. Cell Metab. 2012, 16, 420–434. [Google Scholar] [CrossRef]
  32. Maceyka, M.; Spiegel, S. Sphingolipid metabolites in inflammatory disease. Nature 2014, 510, 58–67. [Google Scholar] [CrossRef]
  33. Niu, X.; He, B.; Du, Y.; Sui, Z.; Rong, W.; Wang, X.; Li, Q.; Bi, K. The investigation of immunoprotective and sedative hypnotic effect of total polysaccharide from Suanzaoren decoction by serum metabonomics approach. J. Chromatogr. B 2018, 1086, 29–37. [Google Scholar] [CrossRef] [PubMed]
  34. Yin, J.; Ren, W.; Huang, X.; Deng, J.; Li, T.; Yin, Y. Potential mechanisms connecting purine metabolism and cancer therapy. Front. Immunol. 2018, 9, 1697. [Google Scholar] [CrossRef] [PubMed]
  35. Pedley, A.M.; Benkovic, S.J. A new view into the regulation of purine metabolism: The purinosome. Trends Biochem. Sci. 2017, 42, 141–154. [Google Scholar] [CrossRef] [PubMed]
  36. Morris, D.; Khurasany, M.; Nguyen, T.; Kim, J.; Guilford, F.; Mehta, R.; Gray, D.; Saviola, B.; Venketaraman, V. Glutathione and infection. Biochim. Et Biophys. Acta (BBA)—Gen. Subj. 2013, 1830, 3329–3349. [Google Scholar] [CrossRef] [PubMed]
  37. Ghezzi, P. Role of glutathione in immunity and inflammation in the lung. Int. J. Gen. Med. 2011, 4, 105–113. [Google Scholar] [CrossRef] [PubMed]
  38. Weinberg, S.E.; Sena, L.A.; Chandel, N.S. Mitochondria in the regulation of innate and adaptive immunity. Immunity 2015, 42, 406–417. [Google Scholar] [CrossRef]
  39. Choi, I.; Son, H.; Baek, J. Tricarboxylic acid (TCA) cycle intermediates: Regulators of immune responses. Life 2021, 11, 69. [Google Scholar] [CrossRef] [PubMed]
Nutrients 16 00166 g001
Figure 1. Effects of JFP-Ps on liver histopathological characteristics (original magnification 40×, bar 20 μm). NC: normal control group; MC: model control group; LG: JFP-Ps low-dose group at 50 mg JFP-Ps/kg body weight; MG: JFP-Ps medium-dose group at 100 mg JFP-Ps/kg body weight; HG: JFP-Ps high-dose group at 200 mg JFP-Ps/kg body weight.
Figure 1. Effects of JFP-Ps on liver histopathological characteristics (original magnification 40×, bar 20 μm). NC: normal control group; MC: model control group; LG: JFP-Ps low-dose group at 50 mg JFP-Ps/kg body weight; MG: JFP-Ps medium-dose group at 100 mg JFP-Ps/kg body weight; HG: JFP-Ps high-dose group at 200 mg JFP-Ps/kg body weight.
Nutrients 16 00166 g001
Nutrients 16 00166 g002aNutrients 16 00166 g002b
Figure 2. Effect of JFP-Ps on the mRNA expression of inflammation-related genes in the liver. Compared with NC group: * p < 0.05, ** p < 0.01; Compared with MC group: # p < 0.05, ## p < 0.01. NC: normal control group; MC: model control group; LG: JFP-Ps low-dose group at 50 mg JFP-Ps/kg body weight; MG: JFP-Ps medium-dose group at 100 mg JFP-Ps/kg body weight; HG: JFP-Ps high-dose group at 200 mg JFP-Ps/kg body weight.
Figure 2. Effect of JFP-Ps on the mRNA expression of inflammation-related genes in the liver. Compared with NC group: * p < 0.05, ** p < 0.01; Compared with MC group: # p < 0.05, ## p < 0.01. NC: normal control group; MC: model control group; LG: JFP-Ps low-dose group at 50 mg JFP-Ps/kg body weight; MG: JFP-Ps medium-dose group at 100 mg JFP-Ps/kg body weight; HG: JFP-Ps high-dose group at 200 mg JFP-Ps/kg body weight.
Nutrients 16 00166 g002aNutrients 16 00166 g002b
Nutrients 16 00166 g003aNutrients 16 00166 g003b
Figure 3. Effect of JFP-Ps on protien expression of the proteins involved in inflammation-related pathways. Compared with NC group: * p < 0.05, ** p < 0.01; Compared with MC group: # p < 0.05, ## p < 0.01. NC: normal control group; MC: model control group; LG: JFP-Ps low-dose group at 50 mg JFP-Ps/kg body weight; MG: JFP-Ps medium-dose group at 100 mg JFP-Ps/kg body weight; HG: JFP-Ps high-dose group at 200 mg JFP-Ps/kg body weight.
Figure 3. Effect of JFP-Ps on protien expression of the proteins involved in inflammation-related pathways. Compared with NC group: * p < 0.05, ** p < 0.01; Compared with MC group: # p < 0.05, ## p < 0.01. NC: normal control group; MC: model control group; LG: JFP-Ps low-dose group at 50 mg JFP-Ps/kg body weight; MG: JFP-Ps medium-dose group at 100 mg JFP-Ps/kg body weight; HG: JFP-Ps high-dose group at 200 mg JFP-Ps/kg body weight.
Nutrients 16 00166 g003aNutrients 16 00166 g003b
Nutrients 16 00166 g004aNutrients 16 00166 g004b
Figure 4. Total Ion Chromatogram (TIC) map and metabolites heatmap in positive (A,B) and negative (C,D) electrospray ionization (ESI) modes. NC: normal control group; MC: model control group; LG: JFP-Ps low-dose group at 50 mg JFP-Ps/kg body weight; MG: JFP-Ps medium-dose group at 100 mg JFP-Ps/kg body weight; HG: JFP-Ps high-dose group at 200 mg JFP-Ps/kg body weight.
Figure 4. Total Ion Chromatogram (TIC) map and metabolites heatmap in positive (A,B) and negative (C,D) electrospray ionization (ESI) modes. NC: normal control group; MC: model control group; LG: JFP-Ps low-dose group at 50 mg JFP-Ps/kg body weight; MG: JFP-Ps medium-dose group at 100 mg JFP-Ps/kg body weight; HG: JFP-Ps high-dose group at 200 mg JFP-Ps/kg body weight.
Nutrients 16 00166 g004aNutrients 16 00166 g004b
Nutrients 16 00166 g005
Figure 5. Multivariate statistical analysis ((A,B) PCA score map; (C,D) OPLS-DA score map; (E,F) 200 permutation test).
Figure 5. Multivariate statistical analysis ((A,B) PCA score map; (C,D) OPLS-DA score map; (E,F) 200 permutation test).
Nutrients 16 00166 g005
Nutrients 16 00166 g006aNutrients 16 00166 g006b
Figure 6. Volcano map ((A): NC vs. MC in ESI+, (B): NC vs. MC in ESI−, (C): MC vs. LG in ESI+, (D): MC vs. LG in ESI−, (E): MC vs. MG in ESI+, (F): MC vs. MG in ESI−, (G): MC vs. HG in ESI+, (H): MC vs. HG in ESI−) and Veen map ((I) ESI+; (J) ESI−). Red: Metabolites which pass both log2 Fold Change > 1.0 and p < 0.05 cut-offs and are up-regulated. Blue: Metabolites which pass both log2 Fold Change < −1.0 and p < 0.05 cut-offs and are down-regulated. Green: Metabolites which pass the p < 0.05 cut-off and fail to pass the |log2 Fold Change| > 1.0 cut-off. Grey: Metabolites which neither pass the p < 0.05 cut-off nor the |log2 Fold Change| > 1.0 cut-off.
Figure 6. Volcano map ((A): NC vs. MC in ESI+, (B): NC vs. MC in ESI−, (C): MC vs. LG in ESI+, (D): MC vs. LG in ESI−, (E): MC vs. MG in ESI+, (F): MC vs. MG in ESI−, (G): MC vs. HG in ESI+, (H): MC vs. HG in ESI−) and Veen map ((I) ESI+; (J) ESI−). Red: Metabolites which pass both log2 Fold Change > 1.0 and p < 0.05 cut-offs and are up-regulated. Blue: Metabolites which pass both log2 Fold Change < −1.0 and p < 0.05 cut-offs and are down-regulated. Green: Metabolites which pass the p < 0.05 cut-off and fail to pass the |log2 Fold Change| > 1.0 cut-off. Grey: Metabolites which neither pass the p < 0.05 cut-off nor the |log2 Fold Change| > 1.0 cut-off.
Nutrients 16 00166 g006aNutrients 16 00166 g006b
Nutrients 16 00166 g007
Figure 7. Pathway analysis. (A) metabolic pathway diagram; (B) Aminoacyl-tRNA biosynthesis; (C) Sphingolipid metabolism; (D) Purine metabolism; (E) Glutathione metabolism. The colors from yellow to red represent metabolites with different level of significance, red being more significant and yellow less significant respectively. The compounds highlighted in red font represent the metabolic markers in the metabolic pathways.
Figure 7. Pathway analysis. (A) metabolic pathway diagram; (B) Aminoacyl-tRNA biosynthesis; (C) Sphingolipid metabolism; (D) Purine metabolism; (E) Glutathione metabolism. The colors from yellow to red represent metabolites with different level of significance, red being more significant and yellow less significant respectively. The compounds highlighted in red font represent the metabolic markers in the metabolic pathways.
Nutrients 16 00166 g007
Table 1. The primer information in RT-qPCR.
Table 1. The primer information in RT-qPCR.
Target GenePrimerSequence (5′–3′)Product Size (bp)
β-actinForwardGTGCTATGTTGCTCTAGACTTCG174
ReverseATGCCACAGGATTCCATACC
IFN-γForwardCTGGAGGAACTGGCAAAAGGATGG121
ReverseGACGCTTATGTTGTTGCTGATGGC
TNF-αForwardGGACTAGCCAGGAGGGAGAACAG103
ReverseGCCAGTGAGTGAAAGGGACAGAAC
p65ForwardAGACCCAGGAGTGTTCACAGACC141
ReverseGTCACCAGGCGAGTTATAGCTTCAG
P38ForwardGGGCATCGTGTGGCAGTTAAGAAG86
ReverseAGCAGACGCAACTCTCGGTAGG
JNKForwardGCCTTATGTGGTGACTCGCTACTAC104
ReverseTTTCTCCCATGATGCACCCAACTG
IL-2ForwardGCAGCTCGCATCCTGTGTCAC97
ReverseCTGCTGTGCTTCCGCTGTAGAG
IL-6ForwardCTTCTTGGGACTGATGCTGGTGAC91
ReverseTCTGTTGGGAGTGGTATCCTCTGTG
IL-10ForwardTGCCAAGCCTTATCGGAAATGATCC131
ReverseAGCCGCATCCTGAGGGTCTTC
Table 2. Effects of JFP-Ps on the content of MDA and activities of SOD, CAT and GSH-Px.
Table 2. Effects of JFP-Ps on the content of MDA and activities of SOD, CAT and GSH-Px.
GroupMDA (nmol/g)SOD (U/g)CAT (μmol/min/g)GSH-Px (nmol/min/g)
NC21.39 ± 0.36351.18 ± 12.511320.94 ± 50.295042.16 ± 49.24
MC25.96 ± 1.08 *214.84 ± 11.47 **567.75 ± 75.15 **3409.86 ± 269.76 **
LG24.41 ± 0.96281.60 ± 14.09 **#756.92 ± 54.03 **4519.30 ± 163.22 ##
MG24.26 ± 0.87287.17 ± 8.45 *##1131.68 ± 77.32 ##4792.28 ± 78.52 ##
HG22.84 ± 0.96329.26 ± 17.10 ##1140.23 ± 204.46 ##4951.07 ± 29.22 ##
Compared with NC: * p < 0.05, ** p < 0.01; Compared with MC: # p < 0.05, ## p < 0.01.
Table 3. Effects of JFP-Ps on the levels of cytokines.
Table 3. Effects of JFP-Ps on the levels of cytokines.
GroupIL-2 (pg/mL)IL-6 (pg/mL)TNF-α (pg/mL)IFN-γ (pg/mL)
NC281.76 ± 21.34112.26 ± 1.92557.32 ± 13.90496.32 ± 12.34
MC256.15 ± 7.45102.49 ± 4.68 *515.06 ± 24.10553.22 ± 14.51 *
LG259.03 ± 6.30101.91 ± 2.02 *522.20 ± 21.70527.93 ± 15.73
MG271.30 ± 9.25103.98 ± 1.55527.56 ± 33.42500.63 ± 19.57 #
HG281.61 ± 7.74106.10 ± 2.55548.10 ± 18.18494.60 ± 16.43 #
Compared with NC group: * p < 0.05; Compared with MC group: # p < 0.05.
Table 4. Results of data quality control using t-test.
Table 4. Results of data quality control using t-test.
Mode p Allp < 0.05p < 0.02p < 0.01p < 0.005p < 0.001
ESI(+)corrected p-value96622717013711480
expected by chance/113100
ESI(−)corrected p-value1614398290244210141
expected by chance/195210
Table 5. The significant metabolites in the liver (ESI+).
Table 5. The significant metabolites in the liver (ESI+).
No.Rt (min)m/zIdentificationFormulaStructure
11.294146.1633SpermidineC7H19N3Nutrients 16 00166 i001
21.374147.1114L-LysineC6H14N2O2Nutrients 16 00166 i002
31.384133.0964OrnithineC5H12N2O2Nutrients 16 00166 i003
41.452156.0755L-HistidineC6H9N3O2Nutrients 16 00166 i004
51.714116.0696L-ProlineC5H9NO2Nutrients 16 00166 i005
62.002150.0569L-MethionineC5H11NO2SNutrients 16 00166 i006
72.034123.0543NiacinamideC6H6N2ONutrients 16 00166 i007
82.125153.0395XanthineC5H4N4O2Nutrients 16 00166 i008
92.342137.0453HypoxanthineC5H4N4ONutrients 16 00166 i009
102.578130.0495N-AcryloylglycineC5H7NO3Nutrients 16 00166 i010
112.844268.10342’-DeoxyguanosineC10H13N5O4Nutrients 16 00166 i011
123.020132.1007L-IsoleucineC6H13NO2Nutrients 16 00166 i012
133.308308.0888GlutathioneC10H17N3O6SNutrients 16 00166 i013
143.579285.0809XanthosineC10H12N4O6Nutrients 16 00166 i014
154.462166.0850L-PhenylalanineC9H11NO2Nutrients 16 00166 i015
165.670136.0610AdenineC5H5N5Nutrients 16 00166 i016
175.723298.09545’-MethylthioadenosineC11H15N5O3SNutrients 16 00166 i017
185.932205.0955L-TryptophanC11H12N2O2Nutrients 16 00166 i018
195.971146.0589Indole-3-carboxaldehydeC9H7NONutrients 16 00166 i019
2013.519318.2980PhytosphingosineC18H39NO3Nutrients 16 00166 i020
2115.564302.3030SphinganineC18H39NO2Nutrients 16 00166 i021
2216.319300.2889SphingosineC18H37NO2Nutrients 16 00166 i022
2329.679700.5739GlucosylceramideC40H77NO8Nutrients 16 00166 i023
Table 6. The significant metabolites in the liver (ESI−).
Table 6. The significant metabolites in the liver (ESI−).
No.Rt (min)m/zIdentificationFormulaStructure
11.411154.0594L-HistidineC6H9N3O2Nutrients 16 00166 i024
21.651124.0053TaurineC2H7NO3SNutrients 16 00166 i025
31.793115.0015Fumaric acidC4H4O4Nutrients 16 00166 i026
41.983135.0287HypoxanthineC5H4N4ONutrients 16 00166 i027
52.169128.0328Pyroglutamic acidC5H7NO3Nutrients 16 00166 i028
62.667151.0235OxypurinolC5H4N4O2Nutrients 16 00166 i029
72.703117.0171Succinic acidC4H6O4Nutrients 16 00166 i030
82.828130.0848L-NorleucineC6H13NO2Nutrients 16 00166 i031
Table 7. Metabolite pathway enrichment.
Table 7. Metabolite pathway enrichment.
Pathway NameMatch Statusp−log (p)FDRImpact
Aminoacyl-tRNA biosynthesis7/488.8845 × 10−65.05147.463 × 10−40.24136
Sphingolipid metabolism4/213.43 × 10−43.46470.0144060.21875
Purine metabolism6/666.4983 × 10−43.18720.0181950.0909
Glutathione metabolism4/280.00108042.96640.0226890.24325
Arginine biosynthesis2/140.0229681.63890.361550.0625
Arginine and proline metabolism3/380.0258251.5880.361550.125
Citrate cycle (TCA cycle)2/200.0450121.34670.51690.06897
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Cheng, M.; Zheng, Y.; Wu, G.; Tan, L.; Xu, F.; Zhang, Y.; Chen, X.; Zhu, K. Protective Effect of Artocarpus heterophyllus Lam. (Jackfruit) Polysaccharides on Liver Injury Induced by Cyclophosphamide in Mice. Nutrients 2024, 16, 166. https://doi.org/10.3390/nu16010166

AMA Style

Cheng M, Zheng Y, Wu G, Tan L, Xu F, Zhang Y, Chen X, Zhu K. Protective Effect of Artocarpus heterophyllus Lam. (Jackfruit) Polysaccharides on Liver Injury Induced by Cyclophosphamide in Mice. Nutrients. 2024; 16(1):166. https://doi.org/10.3390/nu16010166

Chicago/Turabian Style

Cheng, Ming, Yifan Zheng, Gang Wu, Lehe Tan, Fei Xu, Yanjun Zhang, Xiaoai Chen, and Kexue Zhu. 2024. "Protective Effect of Artocarpus heterophyllus Lam. (Jackfruit) Polysaccharides on Liver Injury Induced by Cyclophosphamide in Mice" Nutrients 16, no. 1: 166. https://doi.org/10.3390/nu16010166

APA Style

Cheng, M., Zheng, Y., Wu, G., Tan, L., Xu, F., Zhang, Y., Chen, X., & Zhu, K. (2024). Protective Effect of Artocarpus heterophyllus Lam. (Jackfruit) Polysaccharides on Liver Injury Induced by Cyclophosphamide in Mice. Nutrients, 16(1), 166. https://doi.org/10.3390/nu16010166

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop