| Literature DB >> 32038590 |
Qixiao Zhai1,2,3,4, Dingwu Qu1,2, Saisai Feng1,2, Yaqi Yu1,2, Leilei Yu1,2, Fengwei Tian1,2, Jianxin Zhao1,2, Hao Zhang1,2,5,6, Wei Chen1,2,3,7.
Abstract
Oral exposure to the heavy metal lead (Pb) causes various dysfunctions in animals. However, the influence of gut bacteria on Pb absorption, bioaccumulation, and excretion is largely unknown. In this study, we use a mouse model to investigate the relationship between gut microbiota, Pb-intolerant intestinal microbes and Pb toxicity. First, mice were treated with a broad-spectrum antibiotic cocktail to deplete their gut microbiota, and were then acutely and orally exposed to Pb at 1304 mg/kg for 3 days. Compared to the control mice, antibiotic-treated mice had increased Pb concentrations in the blood and primary organs and decreased Pb fecal concentrations, suggesting that gut microbiota limited the Pb burden that developed from acute oral Pb exposure. Next, three Pb-intolerant gut microbes, Akkermansia muciniphila, Faecalibacterium prausnitzii, and Oscillibacter ruminantium, were orally administered to mice, and their effects against Pb toxicity were evaluated. F. prausnitzii treatment significantly promoted the fecal Pb excretion and reduced Pb concentrations in blood (from 152.70 ± 25.62 μg/dL to 92.20 ± 24.33 μg/dL) and primary tissues. Supplementation with O. ruminantium significantly decreased Pb concentrations in blood (from 152.70 ± 25.62 μg/dL to 104.60 ± 29.85 μg/dL) and kidney (from 7.30 ± 1.08 μg/g to 5.64 ± 0.79 μg/g). Treatment with F. prausnitzii and O. ruminantium also upregulated tight junction (TJ) protein expression and the production of short-chain fatty acids by colonic microbiota, and showed protective effects against liver and kidney toxicity. These results indicate the potential for reducing Pb toxicity by the modulation of gut microbiota.Entities:
Keywords: Pb toxicity; gut bacteria; intestinal barrier; oxidative stress; short chain fatty acids
Year: 2020 PMID: 32038590 PMCID: PMC6987320 DOI: 10.3389/fmicb.2019.03161
Source DB: PubMed Journal: Front Microbiol ISSN: 1664-302X Impact factor: 5.640
The protocol of animal experimental design I.
| Group | Experimental protocol | |
| 1–7 days | 8–10 days | |
| Control | SL | SL + PW |
| Antibiotics | AN-OG | SL + AN-PW |
| Pb | SL | PbAc-SL + PW |
| Antibiotics + Pb | AN-OG | PbAc-SL + AN-PW |
The protocol of animal experimental design II.
| Group | Experimental protocol |
| 0–8 weeks | |
| Control | SL + glycerol + PW |
| Pb | SL + glycerol + PbAc-PW |
| Pb + | SL + |
| Pb + | SL + |
| Pb + | SL + |
| Pb + | SL + |
FIGURE 1The effects of antibiotic treatment on Pb concentrations in feces, tissues and blood of mice (n = 10). (A). Fecal Pb concentrations in the Pb-treated or Antibiotics + Pb-treated mice at different time points. (B–E). Pb concentrations in the liver (B), kidneys (C), brain (D), and blood (E) of mice. ∗∗p < 0.01 vs. the control group; ## p < 0.01 and #p < 0.05 vs. the Pb group.
FIGURE 2The effects of antibiotic treatment on the gut barrier function of mice (n = 5). mRNA expression of TJ proteins ZO-1, ZO-2, occludin and claudin-1 in representative sections of the colon (A) and small intestine (B) of mice. β-actin was used as the internal control. The data are expressed as the fold-change vs. control group (set to 1). Letters a–c denote statistically significant differences between each group (p < 0.05). (C) DX-4000-FITC levels in the serum of mice, ∗p < 0.05 vs. the control group. “ns” indicates no significant differences (p > 0.05) between groups.
FIGURE 3The effects of Pb-intolerant gut microbes on Pb concentrations in the liver (A), kidneys (B), brain (C), small intestine (D), and blood (E) of chronically Pb-exposed mice (n = 6). Letters a–d denote statistically significant differences between each group (p < 0.05).
FIGURE 4The effects of Pb-intolerant gut microbes on fecal Pb levels in chronically Pb-exposed mice at different time points (n = 6). Letters a–c denote statistically significant differences between each group (p < 0.05).
The effects of Pb-intolerant gut microbes on the contents of MDA and GSH in the liver and kidneys of chronically Pb-exposed mice.
| Group | Liver | Kidney | ||
| GSH (mg/g prot) | MDA (nmol/g prot) | GSH (mg/g prot) | MDA (nmol/g prot) | |
| Control | 4.68 ± 0.34a | 40.73 ± 11.14a | 5.01 ± 0.43a | 39.28 ± 8.61a |
| Pb | 0.96 ± 0.19b | 136.50 ± 25.32b | 1.21 ± 0.22bd | 119.80 ± 17.79b |
| Pb + | 1.98 ± 0.52c | 84.21 ± 15.03ac | 2.91 ± 0.78c | 72.31 ± 14.32ac |
| Pb + | 1.51 ± 0.60bc | 91.71 ± 31.98b | 1.39 ± 0.65bd | 76.88 ± 22.10acd |
| Pb + | 1.29 ± 0.34bc | 97.58 ± 34.94b | 1.06 ± 0.38d | 114.44 ± 28.23bd |
| Pb + | 1.90 ± 0.28bc | 76.84 ± 25.17ac | 2.15 ± 0.72bc | 70.46 ± 23.11ac |
The effects of Pb-intolerant gut microbes on the values of haematogenic immunity parameters in chronically Pb- exposed mice.
| Group | ALP (U/L) | AST (U/L) | UREA (mmol/L) | CREA-J (μmol/L) |
| Control | 154.80 ± 7.46a | 115.42 ± 8.76a | 6.12 ± 0.50a | 74.48 ± 3.97a |
| Pb | 207.25 ± 19.14b | 183.65 ± 18.71b | 8.91 ± 0.79b | 85.16 ± 3.40b |
| Pb + | 166.00 ± 16.35ac | 122.72 ± 12.56cd | 676 ± 0.67ac | 77.07 ± 4.57ac |
| Pb + | 176.38 ± 21.86ab | 121.44 ± 19.08c | 7.02 ± 1.20ac | 79.97 ± 2.79abc |
| Pb + | 189.80 ± 17.75bc | 153.59 ± 23.32bd | 7.14 ± 0.70ab | 81.53 ± 3.15bc |
| Pb + | 170.00 ± 19.38ac | 113.07 ± 14.57c | 6.94 ± 1.08ac | 79.86 ± 2.73abc |
FIGURE 5The effects of Pb-intolerant gut microbes on mRNA expression of TJ genes in representative sections of colon (A–D) and small intestine (E–H) of chronic Pb-exposed mice (n = 6). Letters a–e denote statistically significant differences between each group (p < 0.05).
FIGURE 6The effects of Pb-intolerant gut microbes on the total colonic contents of SCFAs (A), acetic acid (B), propionic acid (C), butyric acid (D), isobutyric acid (E), and valeric acid (F) based on dry weights, of chronic Pb-exposed mice. Data are expressed as means ± SD (n = 6). Letter a–c refer to significant differences between each group (p < 0.05).
Pb tolerance abilities of the tested Pb-sensitive strains.
| Strains | MIC (mg/L) |
| 5000 | |
| 200 | |
| 1000 | |
| 200 | |
| 1600 |
FIGURE 7Pb-binding abilities of specific strains (n = 3).