Evidence map›Paper›PMID 42626629›Full record

ArticleClinical kidney journal2026

Combined effects of diet and genetic predisposition on kidney function outcomes.

Giulia Barbieri, Ryosuke Fujii, Michele Filosi, Dariush Ghasemi-Semeskandeh, Martin Gögele, Giovanni Malerba, Maria Elisabetta Zanolin, Lucia Cazzoletti, Peter P Pramstaller, Cristian Pattaro and 1 more

Abstract read
In one paragraph

Article in Clinical kidney journal, 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

11 authors.

Giulia BarbieriInstitute for Biomedicine, Eurac Research, Bolzano/Bozen, Italy.ORCID https://orcid.org/0000-0002-3531-0725
Ryosuke FujiiDepartment of Preventive Medical Sciences, Fujita Health University School of Medical Sciences, Toyoake, Japan.ORCID https://orcid.org/0000-0003-1730-2059
Michele FilosiInstitute for Biomedicine, Eurac Research, Bolzano/Bozen, Italy.ORCID https://orcid.org/0000-0002-3872-347X
Dariush Ghasemi-SemeskandehInstitute for Biomedicine, Eurac Research, Bolzano/Bozen, Italy.ORCID https://orcid.org/0000-0002-4043-815X
Martin GögeleInstitute for Biomedicine, Eurac Research, Bolzano/Bozen, Italy.ORCID https://orcid.org/0000-0003-4785-4348
Giovanni MalerbaDepartment of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy.ORCID https://orcid.org/0000-0001-8705-8560
Maria Elisabetta ZanolinUnit of Epidemiology and Medical Statistics, Department of Diagnostics and Public Health, University of Verona, Verona, Italy.ORCID https://orcid.org/0000-0003-3021-2269
Lucia CazzolettiUnit of Epidemiology and Medical Statistics, Department of Diagnostics and Public Health, University of Verona, Verona, Italy.ORCID https://orcid.org/0000-0002-1429-6282
Peter P PramstallerInstitute for Biomedicine, Eurac Research, Bolzano/Bozen, Italy.ORCID https://orcid.org/0000-0002-9831-8302
Cristian PattaroInstitute for Biomedicine, Eurac Research, Bolzano/Bozen, Italy.ORCID https://orcid.org/0000-0002-4119-0109
Essi HantikainenInstitute for Biomedicine, Eurac Research, Bolzano/Bozen, Italy.ORCID https://orcid.org/0000-0002-4155-2894

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Chronic kidney disease (CKD) is a significant global health concern. While diet is crucial to CKD prevention and management, the interaction between diet and genetic predisposition to CKD is underexplored. We conducted an exploratory investigation of the interplay between a polygenic score (PGS) for kidney function and dietary exposures in relation to glomerular filtration rate estimated based on serum creatinine (eGFRcrea) on 5717 generally healthy adult participants of the Cooperative Health Research In South Tyrol study. Methods: Dietary intake was assessed using the GA Results: The PGS was linearly associated with eGFRcrea (estimated degrees of freedom, df = 1.00, Conclusions: The association of dietary protein and phosphorus intake with eGFRcrea may vary by genetic predisposition to low eGFRcrea levels, with stronger dietary effects in those with a high genetic predisposition.

Indexed as

CHRIS studychronic kidney diseasegene-diet interactiongenetic predispositionpolygenic score

Identifiers

PMID42626629
PMCPMC13492336

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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.