| Literature DB >> 35873427 |
Jiayuan Cao1, Yushan Bu1, Haining Hao1, Qiqi Liu1, Ting Wang1, Yisuo Liu1, Huaxi Yi1.
Abstract
Hyperuricemia (HUA) is a disorder of purine metabolism resulting in abnormally elevated serum uric acid (UA) concentration. It is believed that there is an association between gut microbiota and HUA, and probiotics have the potential palliative effect. However, the underlying mechanism of probiotics in ameliorating HUA remains unclear. The purpose of this study was to investigate the effect and mechanism of Lactobacillus plantarum Q7 on HUA in Balb/c mice. The results showed that L. plantarum Q7 had an excellent capability to affect UA metabolism, which could degrade nucleotides by 99.97%, nucleosides by 99.15%, purine by 87.35%, and UA by 81.30%. It was observed that L. plantarum Q7 could downregulate serum UA, blood urea nitrogen (BUN), creatinine (Cr), and xanthine oxidase (XOD) by 47.24%, 14.59%, 54.59%, and 40.80%, respectively. Oral administration of L. plantarum Q7 could restore the liver, kidney, and intestinal injury induced by HUA and the expression of metabolic enzymes and transporters to normal level. 16S rRNA sequencing analysis showed that L. plantarum Q7 treatment could restore the imbalance of species diversity, richness, and community evenness compared with the model group. The ratio of Bacteroidetes to Firmicutes was recovered nearly to the normal level by L. plantarum Q7 intervention. The dominant microorganisms of L. plantarum Q7 group contained more anti-inflammatory bacteria than those of the model group. These findings indicated that L. plantarum Q7 might regulate UA metabolism and repair the liver and kidney injury by reshaping the gut microbiota and could be used as a potential probiotic strain to ameliorate HUA.Entities:
Keywords: Hyperuricemia; Lactobacillus plantarum Q7; gut microbiota; inflammatory cytokines; uric acid
Year: 2022 PMID: 35873427 PMCID: PMC9298507 DOI: 10.3389/fnut.2022.954545
Source DB: PubMed Journal: Front Nutr ISSN: 2296-861X
Figure 1Experimental chart in the treatment of HUA mice.
Target gene primer sequences.
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| β-actin | ACTGCTCTGGCTCCTAGCAC | CCACCGATCCACACAGAGTA |
| GLUT9 | ATGTGGACTCAATGCGATCTGGTTC | TGTTTCAATTCCTCCCGTGCTCAG |
| NPT1 | TGTTGGGTGTGTTCTGAGTCTTTCC | CCTTCTCACTGCTGCTCATATACGG |
| URAT1 | GACCTTGGACCCGATGTTCTTCTG | CGTGGCGTTGGACTCTGTAAGC |
Figure 2Determination of UA-lowering activity and gastrointestinal tolerance of L. plantarum Q7. (A) UA-lowering activity; (B) Gastrointestinal tolerance.
Effects of L. plantarum Q7 on body weight, organ weight, and visceral Co-efficient in mice.
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| CON | 20.70 ± 0.82a | 24.21 ± 1.08b | 1.04 ± 0.02a | 4.29 ± 0.22a | 0.35 ± 0.02a | 1.47 ± 0.11a |
| MOD | 20.54 ± 0.63a | 23.13 ± 1.13a | 1.34 ± 0.08bc | 5.74 ± 0.40a | 0.41 ± 0.07b | 1.74 ± 0.27bc |
| Q7 | 20.71 ± 0.62a | 25.05 ± 0.72b | 1.44 ± 0.15c | 5.74 ± 0.69a | 0.40 ± 0.02ab | 1.60 ± 0.12ab |
| ADC | 20.79 ± 0.93a | 21.85 ± 1.15c | 1.21 ± 0.20b | 5.56 ± 1.00b | 0.41 ± 0.03b | 1.86 ± 0.10c |
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Figure 3Histopathological analyses of H&E stained liver, kidney sections (×200 magnification), and intense sections (×100 magnification) from mice.
Figure 4Effects of L. plantarum Q7 on serum indexes in mice at different time points. (A) UA; (B) BUN; (C) Cr; (D) XOD.
Figure 5Effects of L. plantarum Q7 on the pro-inflammatory factors of mice. (A) Serum IL-1β; (B) Serum LPS; (C) Liver IL-1β; (D) Kidney IL-1β; (E) Liver TNF-α; (F) Kidney TNF-α; (G) Liver MDA; (H) Kidney MDA.
Figure 6Effects of L. plantarum Q7 on metabolism enzyme of mice. (A) Liver ADA; (B) Liver XOD.
Figure 7Effects of L. plantarum Q7 on the transporter expression level of mice.
Figure 8Effects of L. plantarum Q7 on gut microbe of mice. (A) α-diversity indexes calculated with QIIME2 according to ASV/OTU numbers of each group (P < 0.05). (B,C) Venn diagram of ASV/OTU in the feces. (D) β-diversity evaluated using the weighted UniFrac-based PCA. (E) β-diversity evaluated using the weighted UniFrac-based PCoA. (F) Bar graphs showing the relative abundance of different bacteria at the phylum level. (G) Bar graphs showing the relative abundance of different bacteria at the gene level. (H) Correlation matrix between the microbiota and inflammatory cytokines. (I) Changes of the Bac/Firm Ratio in the different groups (P < 0.05).