Evidence map›Paper›PMID 37468996›Full record

ArticleMicrobiome2023

Lactiplantibacillus plantarum enables blood urate control in mice through degradation of nucleosides in gastrointestinal tract.

Mengfan Li, Xiaoling Wu, Zewang Guo, Ruichen Gao, Zifu Ni, Hualing Cui, Minhua Zong, Filip Van Bockstaele, Wenyong Lou

Open access · goldAbstract readVideo-Audio Media
In one paragraph

Article in Microbiome, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 1 pooled it
15.1field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

49 citing papers in PubMed, 1 synthesis or guideline pooled it, 76 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 2 countries.

Mengfan Li *Lab of Applied Biocatalysis, School of Food Science and Engineering, South China University of Technology, Guangzhou, China.
Xiaoling Wu *Lab of Applied Biocatalysis, School of Food Science and Engineering, South China University of Technology, Guangzhou, China.
Zewang GuoLab of Applied Biocatalysis, School of Food Science and Engineering, South China University of Technology, Guangzhou, China.
Ruichen GaoLab of Applied Biocatalysis, School of Food Science and Engineering, South China University of Technology, Guangzhou, China.
Zifu NiLab of Applied Biocatalysis, School of Food Science and Engineering, South China University of Technology, Guangzhou, China.
Hualing CuiLab of Applied Biocatalysis, School of Food Science and Engineering, South China University of Technology, Guangzhou, China.
Minhua ZongLab of Applied Biocatalysis, School of Food Science and Engineering, South China University of Technology, Guangzhou, China.
Filip Van BockstaeleFood Structure and Function Research Group (FSF), Department of Food Technology, Safety and Health, Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium. filip.vanbockstaele@ugent.be.
Wenyong LouLab of Applied Biocatalysis, School of Food Science and Engineering, South China University of Technology, Guangzhou, China. wylou@scut.edu.cn.
South China University of Technology · CNGhent University · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLactobacillus species in gut microbiota shows great promise in alleviation of metabolic diseases. However, little is known about the molecular mechanism of how Lactobacillus interacts with metabolites in circulation. Here, using high nucleoside intake to induce hyperuricemia in mice, we investigated the improvement in systemic urate metabolism by oral administration of L. plantarum via different host pathways.

resultsGene expression analysis demonstrated that L. plantarum inhibited the activity of xanthine oxidase and purine nucleoside phosphorylase in liver to suppress urate synthesis. The gut microbiota composition did not dramatically change by oral administration of L. plantarum over 14 days, indicated by no significant difference in α and β diversities. However, multi-omic network analysis revealed that increase of L. plantarum and decrease of L. johnsonii contributed to a decrease in serum urate levels. Besides, genomic analysis and recombinant protein expression showed that three ribonucleoside hydrolases, RihA-C, in L. plantarum rapidly and cooperatively catalyzed the hydrolysis of nucleosides into nucleobases. Furthermore, the absorption of nucleobase by intestinal epithelial cells was less than that of nucleoside, which resulted in a reduction of urate generation, evidenced by the phenomenon that mice fed with nucleobase diet generated less serum urate than those fed with nucleoside diet over a period of 9-day gavage.

conclusionCollectively, our work provides substantial evidence identifying the specific role of L. plantarum in improvement of urate circulation. We highlight the importance of the enzymes RihA-C existing in L. plantarum for the urate metabolism in hyperuricemia mice induced by a high-nucleoside diet. Although the direct connection between nucleobase transport and host urate levels has not been identified, the lack of nucleobase transporter in intestinal epithelial cells might be important to decrease its absorption and metabolization for urate production, leading to the decrease of serum urate in host. These findings provide important insights into urate metabolism regulation. Video Abstract.

Indexed as

HyperuricemiaProbioticsAnimalsDietIntestinesMiceNucleosidesUric AcidNucleosidesUric AcidGut microbiotaHyperuricemiaL. plantarumNetwork analysisSerum uric acid

Identifiers

PMID37468996
PMCPMC10354915
OpenAlexW4384818724

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.