Host-derived Lactobacillus plantarum alleviates hyperuricemia by improving gut microbial community and hydrolase-mediated degradation of purine nucleosides
Data files
Oct 09, 2024 version files 889.84 KB
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data.xlsx
42.51 KB
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LP-MICE-SERUM-NEG.xlsx
168.28 KB
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LP-MICE-SERUM-POS.xlsx
312.72 KB
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LP-NEG-JT.xlsx
76.74 KB
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LP-NEG-SQ.xlsx
45.38 KB
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LP-POS-JT.xlsx
158.99 KB
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LP-POS-SQ.xlsx
83.06 KB
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README.md
2.17 KB
Abstract
The gut microbiota is implicated in the pathogenesis of hyperuricaemia (HUA) and gout. However, it remains unclear whether probiotics residing in the host gut, such as Lactobacillus, can prevent HUA development. Herein, we isolated Lactobacillus plantarum SQ001 from the cecum of HUA geese and conducted in vitro assays on uric acid and nucleoside co-culture. Metabolomics and genome-wide analyses, revealed that this strain may promote nucleoside uptake and hydrolysis through its nucleoside hydrolase gene. The functional role of iunH gene was confirmed via heterologous expression and gene knockout studies. Oral administration of Lactobacillus plantarum SQ001 resulted in increased abundance of Lactobacillus species and reduced serum uric acid levels. Furthermore, it down-regulated hepatic xanthine oxidase (XO), a key enzyme involved in uric acid synthesis, as well as renal reabsorption protein GLUT9, while enhancing the expression of renal excretion protein ABCG2. Our findings suggest that Lactobacillus plantarum has potential to ameliorate gut microbial dysbiosis with HUA, thereby offering insights into its potential application as a probiotic therapy for individuals with HUA or gout.
README: Metabolomics of hyperuricaemic mice and Lactobacillus plantarum:Open Source Data
https://doi.org/10.5061/dryad.573n5tbhh
Description of the data and file structure
We have submitted our raw data (Data. xlsx), serum metabolomics (LP-MICE-SERUM-NEG. xlsx and LP-MICE-SERUM-POS. xlsx), Lactobacillus plantarum metabolomics (LP-NEG-JT. xlsx, LP-NEG-SQ. xlsx, LP-POS-JT. xlsx, LP-POS-SQ. xlsx).
LP-MICE-SERUM-NEG. xlsx, LP-MICE-SERUM-POS. xlsx, LP-NEG-JT. xlsx, LP-NEG-SQ. xlsx, LP-POS-JT. xlsx, LP-POS-SQ. xlsx
MS2 name: the name of the substance derived from the secondary mass spectrometry (MS2) match characterisation.
MS2 score: the qualitative score of the secondary mass spectrometry match. The closer the score is to 1, the higher the confidence of the matching result is.
rt: median retention time, represents the retention time of this peak in all samples.
mz: median mass-to-charge ratio, represents the mass-to-charge ratio of this peak in all samples.
SuperClass: Classification information of the substance in the HMDB database.
type: ‘Match type, e.g. MS2 forward (secondary forward match), MS2 reverse (secondary reverse match), etc.’
Note: In the data table, each row represents a peak detected in the experiment. the value in each column corresponding to the sample number represents the response value in that sample.
A1-A8: control group; B1-B8: hyperuricemia (HUA) group; E1-E8: Lactobacillus plantarum group; G1-G8: Lactobacillus plantarum metabolites group.
A1-8: Relative quantitative value of A1-8 samples.
B1-8: Relative Quantitative Value of B1-8 Samples.
E1-8: Relative quantitative value of E1-8 samples.
G1-8: Relative Quantitative Value of G1-8 Samples.
QC01-06: Relative Quantitative Values for QC01-06 Samples.
C1-C6: CONTROL GROUP; G1-G6: Lactobacillus plantarum body GROUP; A1-A6: CONTROL GROUP; E1-E6: Lactobacillus plantarum solution group.
C1-6: Relative quantitative value of C1-6 samples.
G1-6: Relative Quantitative Value of G1-6 Samples.
A1-6: Relative quantitative value of A1-6 samples.
E1-6: Relative Quantitative Value of E1-6 Samples.