Evidence mapPaperPMID 41835382Full record

ReviewFrontiers in nutrition2026

Nutrient intake and renal cancer: molecular pathways and mechanistic insights into the protective role of dietary components.

Peng Chen, Xiaojun Bi, Renli Tian, Qian Zhang

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. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Peng Chen *Department of Urology, General Hospital of Northern Theater Command, Shenyang, China.
Xiaojun Bi *Department of Urology, General Hospital of Northern Theater Command, Shenyang, China.
Renli TianDepartment of Urology, General Hospital of Northern Theater Command, Shenyang, China.
Qian ZhangDepartment of Urology, General Hospital of Northern Theater Command, Shenyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Renal cell carcinoma involves specialized metabolic transformations centered on proximal tubule biology, yet its interface with nutrient intake is frequently interpreted within a generalized oncological framework. This review contextualizes dietary influences within the kidney-specific physiological environment, emphasizing the role of renal filtration dynamics and oxygen-sensing mechanisms in shaping nutrient-tumor interactions. We discuss mechanistic and experimental evidence suggesting that dietary components-particularly fermentable fibers and plant-derived phytochemicals-may function as context-dependent biochemical modulators within the renal microenvironment. Special attention is given to short-chain fatty acids generated by gut microbial fermentation, which may act as distal modulators along the gut-kidney axis and influence metabolic and inflammatory signaling relevant to renal carcinogenesis. By relating circulating nutritional metabolites to proximal tubule metabolic sensitivity and VHL-HIF-dependent regulation, this review aims to bridge systemic nutritional metabolism with metabolic reprogramming characteristic of kidney cancer. Overall, this kidney-centric perspective reframes nutrition from a broad health factor to a context-dependent molecular modulator within renal metabolic pathways, specifically identifying nutritional signals as biochemical modulators-such as short-chain fatty acids-that directly interface with the oncogenic microenvironment through the VHL-HIF and mTOR circuits.

Indexed as

dietary fibermetabolic reprogrammingmolecular pathwaysnutrient intakenutrigenomicsrenal cancershort-chain fatty acids (SCFAs)

Identifiers

PMID41835382
PMCPMC12979450

What Socratic holds

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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 Socratic graph.