Evidence map›Paper›PMID 40303470›Full record

ArticleFrontiers in microbiology2025

Investigating the renoprotective effects of

Rui Huang, Runli Che, Taoli Sun, Wen Xie, Shuihan Zhang

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Review
  2. Food science & nutrition · 2026
    Article
  3. Biochemistry and biophysics reports · 2026
    Article
  4. Review
  5. Review
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

5 authors.

Rui HuangHunan Academy of Chinese Medicine, Hunan University of Chinese Medicine, Changsha, China.
Runli CheHunan Academy of Chinese Medicine, Hunan University of Chinese Medicine, Changsha, China.
Taoli SunHunan Academy of Chinese Medicine, Hunan University of Chinese Medicine, Changsha, China.
Wen XieThe First People's Hospital of Changde City, Changde, China.
Shuihan ZhangHunan Academy of Chinese Medicine, Hunan University of Chinese Medicine, Changsha, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Polygonatum sibiricum polysaccharides (PSP) have been suggested to possess various health benefits, including anti-aging and renoprotective effects. However, the mechanisms underlying PSP's protective effects on kidney function, particularly in the context of aging, remain unclear. This study explores how PSP protects against D-galactose (D-gal)-induced kidney damage in aging mice, focusing on gut microbiota and metabolomics. Methods: Mice were assigned to five groups: control, model (D-gal), vitamin C, low-dose PSP, and high-dose PSP, and treated for 8 weeks. Kidney pathology was assessed via H&E and Masson's trichrome staining. 16S rRNA sequencing analyzed gut microbiota, and non-targeted metabolomics identified metabolic changes. Correlations between gut bacteria and metabolites were examined. Results: PSP alleviated renal damage, reducing tubular atrophy, epithelial swelling, and collagen deposition. It increased beneficial gut bacteria (e.g., Lactobacillus, Bifidobacterium) and altered 23 metabolites linked to pathways such as amino acid and sphingolipid metabolism. Gut microbiota and metabolites were strongly correlated, indicating PSP's role in regulating the gut-kidney axis. Conclusion: PSP protects against age-related kidney damage by modulating gut microbiota and metabolic pathways, highlighting its therapeutic potential for kidney aging through the gut-kidney axis.

Indexed as

aginggut microbiotametabolomicsPolygonatum sibiricum polysaccharidesrenoprotection

Identifiers

PMID40303470
PMCPMC12037495

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.