Evidence mapPaperPMID 42131237Full record

ReviewFrontiers in nutrition2026

Gut microbiota-liver-kidney axis in diabetic kidney disease: mechanistic insights into amino acid metabolism and nutritional intervention strategies targeting natural bioactive compounds.

Li-Ya Sun, Gui-Yan Sun, Yang Nan, Hao-Ran Wang, Yue Sun, Yan Shi, Yu-Feng Yang, Qing-Feng Wang

Abstract readReview
In one paragraph

Review in Frontiers in nutrition, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Mature-StageInternational journal of molecular sciences · 2026
    Article
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

8 authors.

Li-Ya Sun *Liaoning University of Traditional Chinese Medicine, Shenyang, China.
Gui-Yan Sun *Liaoning Academy of Traditional Chinese Medicine (The Second Affiliated Hospital of Liaoning University of Traditional Chinese Medicine), Shenyang, China.
Yang NanLiaoning University of Traditional Chinese Medicine, Shenyang, China.
Hao-Ran WangLiaoning University of Traditional Chinese Medicine, Shenyang, China.
Yue SunLiaoning University of Traditional Chinese Medicine, Shenyang, China.
Yan ShiLiaoning University of Traditional Chinese Medicine, Shenyang, China.
Yu-Feng YangLiaoning University of Traditional Chinese Medicine, Shenyang, China.
Qing-Feng WangLiaoning University of Traditional Chinese Medicine, Shenyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetic kidney disease (DKD) is a leading cause of end-stage renal disease globally. Emerging research highlights the gut microbiota-gut-liver-kidney axis as a critical metabolic nexus linking dietary intake to DKD pathogenesis and progression. The gut microbiota, acting as a vast metabolic organ, transforms dietary components into key metabolites. Beneficial fermentation of fiber produces short-chain fatty acids (SCFAs) like butyrate, which exert anti-inflammatory and renal protective effects. Conversely, microbial metabolism of aromatic amino acids generates protein-bound uremic toxins, such as indoxyl sulfate and p-cresyl sulfate, which promote oxidative stress, inflammation, and fibrosis upon renal accumulation. DKD is characterized by intestinal barrier dysfunction ("leaky gut") and metabolic endotoxemia, creating a vicious cycle that sustains systemic inflammation and kidney injury. Nutritional interventions targeting this axis show therapeutic promise. Dietary patterns (e.g., Mediterranean diet, increased plant protein) and specific prebiotics can modulate microbial composition, enhance SCFA production, and reduce uremic toxins. Natural bioactive compounds (e.g., berberine, quercetin, astragalus polysaccharides) and "medicine food homology" substances demonstrate multi-target renoprotective effects by restoring microbiota balance, improving intestinal barrier integrity, and mitigating metabolic dysregulation. Future management strategies will leverage precision nutrition, utilizing multi-omics and artificial intelligence to design personalized dietary interventions based on individual microbiota profiles, offering a novel paradigm for comprehensive DKD care alongside conventional therapies.

Indexed as

amino acid metabolismdiabetic kidney diseasefunctional foodsgut-liver-kidney axisgut microbiotamedicine food homologynatural bioactive compoundsuremic toxins

Identifiers

PMID42131237
PMCPMC13160872

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.