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. 2023 Feb 13;13(2):268. doi: 10.3390/metabo13020268

Effects of Cadmium on Liver Function and Its Metabolomics Profile in the Guizhou Black Goat

Yuanfeng Li 1, Xiaoyun Shen 1,2,*
Editor: Timothy O’Toole
PMCID: PMC9960901  PMID: 36837887

Abstract

Cadmium (Cd) is a toxic heavy metal, which will lead to ecosystem contamination, threatening the life of grazing animals. Goats are an important grazing animal biomarker to evaluate Cd toxicity, but the effect of short-term and high-concentration Cd toxicity on goat liver function and its latent mechanism is still unclear. A total of ten male Guizhou black goats were randomly divided into two groups: CON group, sterilized tap water (no CdCl2), and Cd group (20 mg Cd·kg−1·BW, CdCl2⋅2.5H2O). The test lasted for 30 days. In this study, we found that Cd poisoning in drinking water affected significantly the distribution of Cd in the goat offal and tissues, and damaged the goat’s immune function of the liver. With a metabolomics approach, 59 metabolites were identified. Metabolomics analysis suggested that Cd affected lipid and amino acid metabolism of the goat liver. Collectively, our results confirmed the effect of Cd on liver function and liver metabolism, and provided insights on the molecular basis for early warnings of Cd poisoning in goats.

Keywords: metabolomics, cadmium, goat, liver

1. Introduction

Cadmium (Cd) is a heavy metal element with long biological half-life, slow metabolism, and strong toxicity, which easily accumulates in the body. Cd can cause damages to a variety of tissues and organs [1], thereby seriously threatening human health. With the extensive use of Cd in industrial production, environmental Cd pollution is becoming more and more serious. Cd and other heavy metals migrate and circulate in the ecosystem in various ways, and are accumulated in animals through different intake pathways, which will eventually lead to animal death or affect food safety. Long-term Cd exposure may directly cause diseases of the immune, respiratory, digestive, nervous, and reproductive systems [2]. Poisoning caused by long-term chronic accumulation of Cd has attracted more and more social attention, but the pathogenesis of short-term toxicity of high-dose Cd is not completely clear.

Omics techniques, a high-throughput method, has been popularly applied in the process of disease diagnosis [3]. Metabolomics has been proved to be conducive to toxicological mechanism study, disease diagnosis, and treatment assessment [4]. Metabolomics also offers an opportunity to discover biomarkers for premalignant liver disease, thereby alerting the potential risk of impending hepatocellular carcinoma [5]. Metabolomics analyzes the changes of the total metabolites of biological samples affected by the environment. This helps to understand how animals and plants respond to various hostile factors at the molecular level [6]. At present, it is widely used in the study of environmental pollutants, such as investigating the mechanism of Cd poisoning in rat urine [7] and kidneys [6], which provides the possibility for directly evaluating the health effects of low-dose environmental poisons [8].

The purpose of this experiment was to explore whether oral Cd affected liver function, thereby indirectly interfering with liver metabolism. Screening of metabolic markers may provide a new method for the early diagnosis of Cd poisoning.

2. Animals, Materials and Methods

2.1. Reagents and Chemicals

Cadmium chloride (CdCl2) was purchased from Tianjinzhiyuan Chemical Reagen Co., Ltd. Formic acid (FC, MS grade) and acetonitrile (CAN, MS grade) were purchased from TCI (Shanghai, China) and Merck (Rahway, NJ, USA), respectively.

2.2. Animal Handing and Sample Collection

A total of ten male Guizhou black goats, 10.72 ± 0.35 kg, were purchased from the goat breeding farm in Guizhou Academy of Agricultural Sciences, Guiyang, China. The goats were maintained in a sheepfold with wooden leak floor, and were provided with a standard diet [9] (CP 14.75%, ME 9.80 MJ/kg, NDF 20.40%) and sterilized tap water (Zn 0.52 mg/L, Cu 0.52 mg/L, Fe 0.11 mg/L, pH 6.70) freely. All the animals in the Cd group were provided with drinking water containing Cd (20 mg Cd·kg−1·BW, CdCl2⋅2.5H2O) according to the recommended dose of previous studies [10] and investigation results of our team [11], and the experimental diets were simultaneously provided.

CdCl2 was prepared in 5.7% aqueous solution, and each goat drank 1000 mL per day (containing 5 mL CdCl2 aqueous solution). Goats in the control group were treated with identical quantity of disinfected tap water, so as to clear up the impacts of CdCl2. After 1-week adaptation, all the goats were fed tap water or water added with CdCl2 for 30 days, then were fixed. On day 1 and day 30, the blood samples were collected into vacuum tubes with heparin sodium and were centrifuged at 3000× g for 10 min (4 °C), then were cryopreserved at −80 °C for mineral elements and omics analysis. After the tested animals were slaughtered using an electric shock gun (ASS-1, Jarvis Machinery Manufacturing Co., Ltd., Beijing, China), the organs and tissues of (heart, liver, spleen, etc.) were cryopreserved at −80 °C for further analysis. The liver tissues were fixed with 4% paraformaldehyde and then were embedded in paraffin to make a 5 μm–thick section for hematoxylin-eosin (HE) staining. An optical microscope was used to observe histopathological changes. Preparation and determination of liver pathological sections (HE staining) was tested by Wuhan Servicebio Biological Co., Ltd., Wuhan, China.

The levels of minerals (Zn, Cu, iron (Fe), and Cd), were measured using a graphite furnace atomic absorption spectrophotometer (AA–7000, Shimadzu Corporation, Kyoto, Japan). Commercial test kits, purchased from Nanjing Jiancheng Bio-Engineering Institute, China, were used to analyze the concentrations of immunoglobulin G (IgG), immunoglobulin M (IgM), immunoglobulin A (IgA), interleukin 6 (IL-6), interleukin-1β (IL-1β), and tumor necrosis factor-alpha (TNF-α) [9].

2.3. Metabolomics Analysis in the Liver

2.3.1. Liver Preparation for Metabolomics

Liver samples were processed in the same manner as described by Li et al. [12]. A total of 2μL supernatant was leached through a 0.22 μm nylon filter and was injected for HILIC UHPLC-Q-EXACTIVE/MS analysis. The stability of the LC-MS/MS system was tested with five quality control samples in the analysis sequence, prepared from the pooled liver samples.

2.3.2. Metabolomics Data Capture

An ultraperformance liquid chromatography system was used to carry out chromatographic separation of the liver (Ultimate 3000, Thermo Fisher, Waltham, MA, USA). The liver was injected on an ACQUITY UPLC BEH C18 column (2.1 × 100 mm, 1.7 μm) at 40 °C (0.30 mL/min flow rate). The optimal linear gradient program referred to the description of Shen et al. [13], and the optimal mobile phase included 0.1% formic acid in water (A) and acetonitrile (B).

HILIC UHPLC-Q-Exactive/MS (Thermo Fisher, Greenville, NC, USA), fitted with a dual electrospray ionization source (ESI) operating in positive and negative ion modes, was used to carry out mass data acquisition. The scan time was set at 5 spectra/s and the centroid mode was from 50 to 1000 m/z. The optimal conditions of analysis referred to the description of Shen et al. [13].

2.3.3. Multivariate Statistical Analysis

A Compound Discoverer 3.0 (Thermo Fisher, USA) was used to convert the raw MS spectra to common data format (.mzML). Candidate metabolites (VIP > 1 and adjusted p value < 0.05) were regarded as potential biomarkers. The supporting files provided further details regarding metabolomic analysis.

2.3.4. Metabolites Identification and Pathway Analysis

The metabolite structure was confirmed through LS-MS/MS analysis. The basis of the METLIN were used to search the accurate mass values of the metabolites and MS/MS fragment ions. The KEGG and HMDB database were used to search metabolic pathways and biochemical reactions. Pathway analysis and visualization were performed on Compound Discoverer 3.0 (Thermo Fisher Scientific) software.

2.4. Statistical Analysis

Data were analyzed using independent sample t-test of one-way ANOVA program of SPSS software (version 23.0, Inc., Chicago, IL, USA), and were expressed as the mean. The fixed factor was the concentration of Cd, and the dependent factors were the contents of minerals in organs and tissues, and the levels of immune factors in serums and livers. A p value < 0.05 was considered statistically different.

3. Results

3.1. The Effect of Cd on the Pathological Structure in the Liver of the Guizhou Black Goat

The liver pathological structure under a light microscope showed that the hepatocytes of the black goat in the control group were closely arranged together with clear cells and outlines and clearly visible liver lobules. Hepatocyte cords were radially arranged around the central vein, and the trend was relatively clear (Figure 1a). Sheet necrosis could be seen in the hepatocytes of the black goat in the Cd group, with light and no staining in the nuclei, unclear boundaries of liver lobules, and disordered arrangement of hepatocyte cords (Figure 1b).

Figure 1.

Figure 1

Histopathological changes of the liver in the Guizhou black goat (HE × 400).

3.2. The Analysis of Mineral Contents in the Organ and Tissue

Metal contaminants can effectively be bioaccumulated by animals from the environment. The supplementation of Cd in drinking water significantly increased the Cd content in the organs (heart, liver, spleen, lung, kidney, muscle), serum, and hair of the Guizhou black goat (heart 1.82 vs. 0.31 ug/g, liver 237.94 vs. 0.46 ug/g, spleen 9.06 vs. 2.12 ug/g, lung 93.77 vs. 0.60 ug/g, kidney 194.65 vs. 1.44 ug/g, muscle 5.74 vs. 0.11 ug/g, serum 6.88 vs. 0.22 ug/mL, hair 7.41 vs. 3.32 ug/g, respectively) (p < 0.05, Figure 2), and greatly decreased the Cu and Fe levels compared with the control group (p < 0.05, Figure 2). The Cu levels in the heart, liver, spleen, lung, kidney, muscle, serum, and hair between the Cd group and the control group were 17.54 vs. 18.50 ug/g, 272.36 vs. 311.60 ug/g, 19.12 vs. 20.08 ug/g, 17.86 vs. 18.82 ug/g, 276.93 vs. 293.86 ug/g, 5.70 vs. 6.01 ug/g, 0.86 vs. 0.97 ug/mL, 3.20 vs. 3.80 ug/g, respectively (Figure 2). The Fe level in the heart, liver, spleen, lung, kidney, muscle, serum, and hair between the Cd group and the control group was 382.79 vs. 447.13 ug/g, 188.36 vs. 262.21 ug/g, 520.93 vs. 580.82 ug/g, 216.22 vs. 257.90 ug/g, 143.97 vs. 178.24 ug/g, 85.80 vs. 127.57 ug/g, 267.30 vs. 315.17 ug/mL, 293.67 vs. 327.12 ug/g, respectively (Figure 2). Compared with the control group, the Zn content in the heart, liver, spleen, lung, kidney, serum, and hair of the Guizhou black goat was significantly increased (72.20 vs. 73.08 ug/g, 105.97 vs. 138.32 ug/g, 112.56 vs. 123.62 ug/g, 84.70 vs. 87.86 ug/g, 93.63 vs. 108.39 ug/g, 104.81 vs. 108.64 ug/g, 15.99 vs. 17.19 ug/mL, 84.16 vs. 85.23 ug/g, respectively) (p < 0.05, Figure 2). Goats from the Cd group exhibited significant Cd accumulation in the offal.

Figure 2.

Figure 2

Mineral elements in the goat organ and tissue (ug/g). Zn, zinc; Cu, copper; Fe, iron; Cd, cadmium. Different small letters of superscript indicate significant differences (p < 0.05), and the same small letters or no letters indicate no significant difference (p > 0.05).

3.3. The Effect of Cd on the Immune Function of the Goat Serum and Liver

Compared with the control group, the levels of serum IgG and IgA in the Cd group were significantly decreased (2.05 vs. 1.70 g/L, 34.56 vs. 33.56 g/L, respectively), and the levels of serum IL-6, IL-1β, and TNF-α were significantly increased (78.82 vs. 91.05 ng/L, 6.27 vs. 7.41 ng/L, 0.72 vs. 0.83 ng/L, respectively) (p < 0.05, Figure 3). Compared with the control group, the levels of liver IgG and IgA in the Cd group were significantly decreased (44.90 vs. 33.10 g/kg, 10.80 vs. 7.23 g/kg, respectively), and the levels of liver IL-6, IL-1β, and TNF-α were significantly increased (0.69 vs. 0.84 ng/kg, 6.59 vs. 7.42 ng/kg, 5.66 vs. 7.09 ng/kg, respectively) (p < 0.05, Figure 3).

Figure 3.

Figure 3

Immune functions in the goat serum and liver. IgG, Immunoglobulin G; IgM, Immunoglobulin M; IgA, Immunoglobulin A; IL-6, interleukin 6; IL-1β, interleukin-1β; TNF-α, tumor necrosis factor-alpha. CON Group, the control group; Cd Group, the cadmium group. Different small letters of superscript indicate significant differences (p < 0.05), and the same small letters or no letters indicate no significant difference (p > 0.05).

3.4. Liver Metabolic Responses in the Goat to Cd Exposure

The typical total ion chromatograms of liver samples through the HILIC UHPLC−Q−EXACTIVE/MS analysis displayed good separation, peak shape, and strong intensity. Clear separations were displayed between the control and Cd groups in the well-fitting OPLS−DA models (Figure 4a,b). According to the VIP value (>1) and p-value (<0.05), 59 differential metabolites, including 31 up−regulated metabolites and 28 down−regulated metabolites, were identified (Table 1). Liver samples in the Cd group were separately clustered from the control group in the dendrogram of hierarchical clustering (Figure 4c,d). These results confirmed that the levels of most metabolites were affected by Cd.

Figure 4.

Figure 4

OPLS−DA score plots derived from HILIC UHPLC−Q−EXACTIVE/MS in positive (a) and negative (b) ionization modes. Samples in the Cd group were separated from those in the control group. R2 X and R2 Y indicate the fraction of the variables explained by the model, and the Q2 shows the predictive abilities of the model. Control versus Cd, ESI+: R2 X = 0.781, R2 Y = 1.000 and Q2 = 0.794; ESI-: R2 X = 0.799, R2 Y = 1.000 and Q2 = 0.802. Hierarchical clustering heat map, correction analysis, and pathway analysis of metabolites that were obtained from the liver. Unsupervised hierarchical clustering heat map of metabolites from liver of goats in the positive mode (c) and negative mode (d). Cluster of the changed metabolites (right side) and the samples in different groups (bottom). The color of the heatmap from red to blue indicated the relative intensity of the metabolites.

Table 1.

Metabolic pathways of candidate biomarkers in the goat liver related to Cd exposure.

Pathway ID Pathway Name Total Pop Hit p-Value_Adjusted
oas04931 Insulin resistance 12 19 0.000834
oas00250 Alanine, aspartate, and glutamate metabolism 12 28 0.00139
oas04930 Type II diabetes mellitus 12 6 0.00179
oas04911 Insulin secretion 12 12 0.00583
oas04066 HIF-1 signaling pathway 12 15 0.00739
oas00330 Arginine and proline metabolism 12 78 0.00878
oas00020 Citrate cycle (TCA cycle) 12 20 0.00878
oas04152 AMPK signaling pathway 12 22 0.00878
oas00430 Taurine and hypotaurine metabolism 12 22 0.00878
oas00290 Valine, leucine, and isoleucine biosynthesis 12 23 0.00878
oas04922 Glucagon signaling pathway 12 26 0.0102
oas00770 Pantothenate and CoA biosynthesis 12 28 0.0106
oas00010 Glycolysis/Gluconeogenesis 12 31 0.0106
oas00620 Pyruvate metabolism 12 31 0.0106
oas00730 Thiamine metabolism 12 31 0.0106
oas00030 Pentose phosphate pathway 12 35 0.0127
oas05230 Central carbon metabolism in cancer 12 37 0.0133
oas00650 Butanoate metabolism 12 42 0.0161
oas00900 Terpenoid backbone biosynthesis 12 45 0.0175
oas00340 Histidine metabolism 12 47 0.018
oas00053 Ascorbate and aldarate metabolism 12 49 0.0185
oas00260 Glycine, serine, and threonine metabolism 12 50 0.0185
oas00564 Glycerophospholipid metabolism 12 52 0.0191
oas00760 Nicotinate and nicotinamide metabolism 12 55 0.0195
oas00040 Pentose and glucuronate interconversions 12 55 0.0195
oas00440 Phosphonate and phosphinate metabolism 12 56 0.0195
oas00360 Phenylalanine metabolism 12 60 0.0214
oas00630 Glyoxylate and dicarboxylate metabolism 12 62 0.0219
oas00270 Cysteine and methionine metabolism 12 63 0.0219
oas00350 Tyrosine metabolism 12 78 0.0318
oas05231 Choline metabolism in cancer 12 11 0.0465
oas01200 Carbon metabolism 12 114 0.0602
oas01230 Biosynthesis of amino acids 12 128 0.072
oas01210 2-Oxocarboxylic acid metabolism 12 134 0.0759
oas00565 Ether lipid metabolism 12 25 0.0893
oas00600 Sphingolipid metabolism 12 25 0.0893
oas00062 Fatty acid elongation 12 40 0.136
oas00071 Fatty acid degradation 12 50 0.164
oas00061 Fatty acid biosynthesis 12 58 0.183
oas01100 Metabolic pathways 12 2702 0.199
oas01040 Biosynthesis of unsaturated fatty acids 12 74 0.217
oas00230 Purine metabolism 12 95 0.265
oas00520 Amino sugar and nucleotide sugar metabolism 12 108 0.289
oas01212 Fatty acid metabolism 12 122 0.314
oas02010 ABC transporters ABC 12 137 0.338

The liver differentially-expressed metabolites that were obtained in the treatment group were submitted to KEGG website for relevant pathway analysis. The most significant metabolic pathway was insulin resistance (Figure 5). Cd poisoning extremely altered metabolic pathways. The predominant metabolites were involved in insulin resistance, alanine, aspartate, and glutamate metabolism, arginine and proline metabolism, citrate cycle (TCA cycle), AMPK signaling pathway, etc. The details of related metabolic pathways are shown in Table 1. KEGG pathway analysis for the corresponding metabolic pathways found similar results that lipid metabolism was the main metabolic pathway (Table 2).

Figure 5.

Figure 5

KEGG metabolic pathway analysis diagram of metabolites from livers of goats.

Table 2.

Significantly modulated metabolites in the goat liver with Cd poisoning based on OPLS-DA.

NO Adduction RT (min) m/z Formula Metabolite KEGG Pathway VIP Change p-Value
1 [M + H]+ 0.161 142.02649 C6H6O4 Kojic acid - 1.73 0.034
2 [M + H]+ 6.872 405.3448 C22H47NO5 Hydrolyzed fumonisin B1 - 2.03 0.007
3 [M + H]+ 10.033 715.51426 C39H74NO8P 1-Palmitoyl-2-linoleoyl PE - 1.66 0.045
4 [M + H]+ 5.051 202.0293 C8H10O4S 4-ethylphenylsulfonic acid - 2.15 0.003
5 [M + H]+ 6.84 317.29251 C18H39NO3 2-Amino-1,3,4-octadecanetriol - 2.16 0.002
6 [M + H]+ 10.02 753.52898 C42H76NO8P 1-hexadecanoyl-2-[(6Z,9Z,12Z,15Z)-octadecatetraenoyl]-sn-glycero-3-phosphocholine - 1.91 0.015
7 [M + H]+ 10.023 837.62212 C48H88NO8P 1-octadecanoyl-2-(7Z,10Z,13Z,16Z-docosatetraenoyl)-sn-glycero-3-phosphocholine - 1.68 0.040
8 [M + H]+ 0.114 151.98775 C3H5O5P 3-[hydroxyl (oxido) phosphoranyl]pyruvic acid - 2.28 0.001
9 [M + H]+ 0.1 179.01454 C9H6ClNO cloxyquin - 1.79 0.026
10 [M + H]+ 6.802 273.26635 C16H32O2 Palmitic Acid map01100, Metabolic pathways|map00062, Fatty acid elongation|map01212, Fatty acid metabolism|map00061, Fatty acid biosynthesis|map00071, Fatty acid degradation|map01040, Biosynthesis of unsaturated fatty acids 2.12 0.004
11 [M + H]+ 0.157 220.05786 C8H12O7 (-)-threo-isodihomocitric acid - 2.35 0.000
12 [M + H]+ 10.156 511.49544 C32H65NO3 N-tetradecanoylsphinganine - 1.78 0.027
13 [M + H]+ 7.502 414.20355 C24H30O6 Bis (4-ethylbenzylidene) sorbitol - 1.77 0.029
14 [M + H]+ 9.484 335.31808 C22H41NO (2E,4Z)-N-Isobutyl-2,4-octadecadienamide - 1.69 0.039
15 [M + H]+ 6.556 227.18827 C13H25NO2 Cyprodenate - 1.65 0.046
16 [M + H]+ 7.953 196.08868 C14H12O MFCD00005122 - 1.79 0.026
17 [M + H]+ 7.251 310.17798 C17H26O5 Botrydial - 2.34 0.000
18 [M + H]+ 7.19 494.1179 C26H24Cl2N4O2 1-benzyl-3-(tert-butyl)-N-[6-(2,6-dichlorophenoxy)-3-pyridinyl]-1H-pyrazole-5-carboxamide - 1.71 0.037
19 [M + H]+ 7.078 294.18313 C17H26O4 Embelin - 2.44 0.000
20 [M + H]+ 1.004 268.08046 C10H12N4O5 Inosine map01100, Metabolic pathways|map02010, ABC transporters|map00230, Purine metabolism 1.76 0.030
21 [M + H]+ 1.307 268.08064 C10H12N4O5 Arabinosylhypoxanthine - 1.77 0.028
22 [M + H]+ 4.912 242.08048 C12H10N4O2 3-amino-2-phenyl-2H-pyrazolo [4,3-c]pyridine-4,6-diol - 1.63 0.049
23 [M + H]+ 9.156 300.26627 C18H36O3 12-HSA - 1.63 0.050
24 [M + H]+ 0.997 147.03538 C5H9NO2S 3-Thiomorpholinecarboxylic acid - 1.81 0.024
25 [M + H]+ 0.943 259.04518 C6H14NO8P D-Glucosamine 6-phosphate map01100, Metabolic pathways|map00520, Amino sugar and nucleotide sugar metabolism|map00250, Alanine, aspartate and glutamate metabolism|map04931, Insulin resistance 1.84 0.021
26 [M + H]+ 0.833 125.09551 C6H11N3 N-Methylhistamine map01100, Metabolic pathways|map00340, Histidine metabolism 1.83 0.021
27 [M + H]+ 1.012 145.01971 C5H7NO2S 3,4-dehydrothiomorpholine-3-carboxylic acid - 1.72 0.035
28 [M + H]+ 10.5 765.5307 C43H76NO8P 1-oleoyl-2-arachidonoyl-sn-glycerol-3-phosphoethanolamine - 1.74 0.033
29 [M + H]+ 9.744 779.54458 C44H78NO8P PC(18:3(9Z,12Z,15Z)/18:2(9Z,12Z)) - 1.64 0.048
30 [M − H]- 0.175 142.02648 C6H6O4 Kojic acid - 1.70 0.035
31 [M − H]- 5.08 202.0293 C8H10O4S 4-ethylphenylsulfonic acid - 2.12 0.003
32 [M − H]- 1.082 231.14672 C11H21NO4 N-(tert-Butoxycarbonyl)-L-leucine - 1.70 0.035
33 [M − H]- 6.882 317.2925 C18H39NO3 Phytosphingosine map00600, Sphingolipid metabolism|map01100, Metabolic pathways 2.12 0.003
34 [M − H]- 6.844 273.26635 C16H35NO2 Hexadecasphinganine - 2.08 0.004
35 [M − H]- 0.145 220.05786 C8H12O7 (-)-threo-isodihomocitric acid - 2.30 0.000
36 [M − H]- 10.195 511.49544 C32H65NO3 N-tetradecanoylsphinganine - 1.78 0.025
37 [M − H]- 1.006 134.0203 C4H6O5 DL-Malic acid - 1.99 0.008
38 [M − H]- 8.716 295.13857 C19H21NS Pizotifen - 1.66 0.042
39 [M − H]- 1.001 88.01482 C3H4O3 Pyruvic acid - 1.94 0.011
40 [M − H]- 9.524 335.31808 C22H41NO (2E,4Z)-N-Isobutyl-2,4-octadecadienamide - 1.66 0.041
41 [M − H]- 7.997 196.08868 C14H12O stilben-4-ol - 1.65 0.044
42 [M − H]- 7.294 310.17798 C17H26O5 6-Hydroxy-4,9a-dimethoxy-3,4a,5-trimethyl-4a,5,6,7,8,8a,9,9a-octahydronaphtho[2,3-b]furan-2(4H)-one - 2.33 0.000
43 [M − H]- 7.421 196.14558 C12H20O2 cis-4-Hydroxy-6-decenoic acid lactone - 2.22 0.001
44 [M − H]- 7.121 294.18313 C17H26O4 (+)-[6]-Gingerol - 2.43 0.000
45 [M − H]- 0.905 193.02524 C4H8N3O4P fosfocreatinine - 1.63 0.046
46 [M − H]- 0.937 155.03456 C3H10NO4P N-methylethanolamine phosphate map00564, Glycerophospholipid metabolism 1.68 0.039
47 [M − H]- 4.526 173.10491 C8H15NO3 Acexamic acid - 1.61 0.049
48 [M − H]- 9.199 300.26627 C18H36O3 12-HSA - 1.63 0.046
49 [M − H]- 1.011 129.04142 C5H7NO3 4-Oxoproline map01100, Metabolic pathways|map00330, Arginine and proline metabolism 1.68 0.038
51 [M − H]- 0.956 259.04518 C6H14NO8P D-Glucosamine 6-phosphate map01100, Metabolic pathways|map00520, Amino sugar and nucleotide sugar metabolism|map00250, Alanine, aspartate and glutamate metabolism|map04931, Insulin resistance 1.79 0.023
52 [M − H]- 3.594 159.08951 C7H13NO3 N-Acetylvaline - 1.73 0.031
53 [M − H]- 1.023 147.03538 C5H9NO2S 3-Thiomorpholinecarboxylic acid - 1.82 0.020
54 [M − H]- 0.857 125.09551 C6H11N3 1-Methylhistamine map01100, Metabolic pathways|map00340, Histidine metabolism 1.77 0.026
55 [M − H]- 1.04 145.01971 C5H7NO2S 3,4-dehydrothiomorpholine-3-carboxylic acid - 1.71 0.034
56 [M − H]- 10.536 765.53073 C43H76NO8P 1-oleoyl-2-arachidonoyl-sn-glycerol-3-phosphoethanolamine - 1.70 0.035
57 [M − H]- 10.028 743.54515 C41H78NO8P 1,2-Dioleoyl-sn-glycero-3-PE - 2.26 0.001
58 [M − H]- 0.985 234.08487 C8H14N2O6 glu-ser - 1.78 1.782
59 [M − H]- 0.159 150.05415 C6H6N4O Dezaguanine - 1.63 1.633

RT: retention time. ↑ indicates up-regulation and ↓ indicates down-regulation.

4. Discussion

4.1. Mineral Accumulation in the Goat Offal and Tissue and Liver Immune Function

In Cd-treated goat samples, severe Cd accumulation was observed in the Guizhou black goat. In the case of chronic Cd poisoning, about 8 % of Cd that is ingested will be absorbed by the body through the gastrointestinal tract [14]. In a previous study, Zalups [15] reported that rats were intravenously injected with 5 mol/kg Cd (source of CdCl2), and 50–60% of the administered dose of Cd was significantly accumulated in the liver. Cd is metabolized very slowly in the body, and its half-life is as long as 20~30 years. The human body can only excrete 0.005~0.015 % of the total amount of Cd in the body every day. In the case of chronic Cd poisoning, daily fecal Cd emission accounts for about 0.03 % of the total Cd in human body [16]. Long-term Cd accumulation will lead to oxidative stress, apoptosis or necrosis of generous cells, and even tumors [17]. In this trial, after high dose Cd was orally fed to the goats for 30 days, significant Cd accumulation occurred in the offal and tissue.

Antibodies and immunoglobulins that were produced by B cells, including IgG, IgM, and IgA, are important indicators of humoral immunity [18]. The synergy of immunoglobulin in the body can prevent body infection and resist the invasion of various bacteria and toxins. IgG plays a major role in immunity. After infection, IgM combines with complement to dissolve pathogens [19]. In local mucosal immunity, IgA mainly plays the role of an antibacterial, antiviral, and a “barrier” [20]. TNF-α is the most important inflammatory cytokine in the body’s stress response, and its biological effect can be expanded by inducing the synergistic effect of other inflammatory mediators [21]. IL-1β is a pro-inflammatory medium that mediates the inflammatory response [22]. IL-6 is a pro-inflammatory transmitter, which may aggravate the inflammatory reaction in the body and even lead to the deterioration of some diseases [23,24]. This study found that Cd poisoning decreased significantly the levels of IgG and IgA in the serum and liver, and increased significantly the levels of IL-6, IL-1β, and TNF-α in the serum and liver, which caused damage to the immune system of black goats. The results of liver immune functions further confirmed that Cd exposure damaged the immune function of goats and caused toxic damage to the liver.

4.2. Alteration of Energy and Lipid Metabolism Associated with Cd Exposures

The liver is the center of material storage and transformation. In mammals, glucose is preferentially used as an energy source, and the effect of fatty acid oxidation on energy supply is often related to the fat level in feed [25]. Under Cd poisoning, the energy metabolism state of black goats can be reshaped to adapt to a higher metabolic rate.

The tricarboxylic acid cycle (TCA cycle) is the link and transformation hub of sugar, fats, proteins, and even nucleic acid metabolism. Produced during aerobic oxidation of sugar, α-Ketoglutaric acid, pyruvic acid, and oxaloacetic acid can be converted into corresponding amino acids by combining with ammonia. The deamination of these amino acids can be converted into corresponding keto acids and enter the aerobic oxidation pathway of sugar. At the same time, glycerol that is produced by lipid catabolism and acetyl CoA that is produced by fatty acid metabolism can also enter the aerobic oxidation pathway of sugar for metabolism [26]. With the decrease of energy intake and the increase of consumption in the Cd poisoning stage of black goats, it is particularly important to study the physiological mechanism of metabolic disorders that are related to negative energy balance. Negative energy balance will cause changes in multiple metabolic pathways to maintain the physiological conditions that are required for growth [27].

Amino acids play an important role in the energy production of the TCA cycle [28]. After deamination, they can be converted into fat through gluconeogenesis, indicating that Cd-induced lipid metabolism disorder in goats has changed the metabolites that are related to lipid metabolism (D-glucosamine 6-phosphate and pyruvate). The up-regulation of D-glucosamine 6-phosphate and down-regulation of pyruvate in the Cd group showed that amino acid metabolism was related to lipid metabolism. Since pyruvate played a key role in energy, amino acid, and lipid metabolism, down-regulated pyruvate indicated that there was also interference in lipid synthesis/degradation [29]. In the KEGG enrichment analysis of different metabolites of Cd poisoning in this chapter, many pathways related to lipid metabolism, such as the metabolism of arachidonic acid and linoleic acid, were also significantly enriched by NADPH, GPX, etc.

4.3. Alteration of Amino Acid Metabolism Associated with Cd Exposures

Previous studies have reported that amino acid metabolism of male rats exposed to Cd was disturbed [30]. Compared with the adolescent rats in the control group, the levels of these amino acids (glutamic acid, aspartic acid, etc.) in the anterior part of the hypothalamus in the Cd group were decreased, thus regulating various physiological functions including the endocrine system, and the content of glutamine in the basal part of the hypothalamus was increased [30]. However, Cd exposure can induce inflammation in animals by increasing the excessive accumulation of ROS [31,32] or the disorder of glucose metabolism in animals [33]. Valine, one of the eight essential amino acids for the human body, can promote normal growth of the body, repair tissues, regulate blood sugar, and provide necessary energy. Leucine and valine are branched-chain amino acids. Together with isoleucine and valine, they repair muscles, control blood sugar, decompose and convert into glucose faster, provide energy to body tissues quickly, promote energy metabolism (glucose uptake, mitochondrial biogenesis, and fatty acid oxidation), provide energy for protein synthesis, and inhibit protein degradation [34]. In our work, metabolomic analysis showed that the D-glucosamine 6-phosphate regulating the metabolism of alanine, aspartic acid, glutamic acid, cysteine, and methionine in Cd-treated goats increased significantly, while the pyruvate regulating the metabolism of alanine, aspartic acid, and glutamic acid decreased significantly. In this study, many differential metabolites were enriched in pathways that were related to amino acid metabolism, and the abundance of essential amino acids such as valine and L-leucine in the liver of Cd-poisoned black goats was significantly down-regulated or up-regulated. In addition, many amino acid metabolic pathways changed significantly, such as alanine, aspartic acid, and glutamic acid metabolism, arginine and proline metabolism, valine, leucine and isoleucine biosynthesis, histidine metabolism, glycine, serine and threonine metabolism, phenylalanine metabolism, cysteine and methionine metabolism, tyrosine metabolism, amino acid biosynthesis, etc. Therefore, Cd poisoning may affect the tricarboxylic acid cycle, gluconeogenesis/glycolysis, and amino acid metabolism of black goats.

5. Conclusions

This study focused on the effect of oral Cd on the liver function and liver metabolism in goats. Cd altered the contents of mineral elements in the goat’s organs and tissues, and reduced significantly liver immune functions. The metabolomic analysis showed that the differential metabolites were significantly enriched in the pathways related to lipid metabolism, such as linoleic acid metabolism and arachidonic acid metabolism. Embelin may be potential metabolic markers of Cd poisoning in the goat liver. In general, oral Cd interfered with liver metabolism by decreasing the liver immune function, causing liver damage.

Author Contributions

Y.L.: Conceptualization, methodology, software, formal analysis, investigation, resources, data curation, writing-original draft. X.S.: Conceptualization, methodology, resources, writing—reviewing and editing, supervision, project administration, funding acquisition. All authors have read and agreed to the published version of the manuscript.

Institutional Review Board Statement

The animal study protocol was approved by the Institutional Animal Care and Use Committee of Southwest University of Science and Technology (SWUST2021009, 25 January 2021).

Informed Consent Statement

Not applicable.

Data Availability Statement

The datasets that were generated during and/or analyzed during the current study are available from the corresponding author on reasonable request. The data are not publicly available due to the school regulations.

Conflicts of Interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Funding Statement

This research was funded by the National Natural Science Foundation of China (42171060), the Innovation and Development Supporting Plan Project of Key Industries in Southern Xinjiang (2021DB014), and the modern agricultural industry technology system (CARS-38). The APC was funded by Xiaoyun Shen.

Footnotes

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Associated Data

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

Data Availability Statement

The datasets that were generated during and/or analyzed during the current study are available from the corresponding author on reasonable request. The data are not publicly available due to the school regulations.


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