Evidence map›Paper›PMID 41258737›Full record

ArticleFood & function2025

A computational reference for human genomics analysis in (poly)phenol research.

Mirko Treccani, Lucia Ghiretti, Nicole Tosi, Cristiana Mignogna, Anne-Marie Minihane, Valeria Barili, Daniele Del Rio, Davide Martorana, Pedro Mena

Abstract read
In one paragraph

Article in Food & function, 2025. 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. 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

9 authors.

Mirko TreccaniHuman Nutrition Unit, Department of Food and Drug, University of Parma, 43125, Parma, Italy. mirko.treccani@unipr.it.ORCID http://orcid.org/0000-0002-9175-9455
Lucia GhirettiHuman Nutrition Unit, Department of Food and Drug, University of Parma, 43125, Parma, Italy. mirko.treccani@unipr.it.ORCID http://orcid.org/0009-0004-3493-6875
Nicole TosiHuman Nutrition Unit, Department of Food and Drug, University of Parma, 43125, Parma, Italy. mirko.treccani@unipr.it.ORCID http://orcid.org/0000-0002-1479-744X
Cristiana MignognaHuman Nutrition Unit, Department of Food and Drug, University of Parma, 43125, Parma, Italy. mirko.treccani@unipr.it.ORCID http://orcid.org/0000-0001-8630-6040
Anne-Marie MinihaneNutrition and Preventive Medicine, Norwich Medical School, University of East Anglia, Norwich, UK.ORCID http://orcid.org/0000-0001-9042-4226
Valeria BariliMedical Genetics, Department of Medicine and Surgery, University of Parma, 43126, Parma, Italy.ORCID http://orcid.org/0000-0001-7711-2156
Daniele Del RioHuman Nutrition Unit, Department of Food and Drug, University of Parma, 43125, Parma, Italy. mirko.treccani@unipr.it.ORCID http://orcid.org/0000-0001-5394-1259
Davide MartoranaMedical Genetics Unit, Department of Onco-Hematology, University Hospital of Parma, 43126, Parma, Italy.ORCID http://orcid.org/0000-0002-7572-7031
Pedro MenaHuman Nutrition Unit, Department of Food and Drug, University of Parma, 43125, Parma, Italy. mirko.treccani@unipr.it.ORCID http://orcid.org/0000-0003-2150-2977

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

(Poly)phenols are bioactive compounds found in plant-based food. They have been associated with numerous health-promoting features. To date, several research studies are investigating their contribution to human health and disease by applying different omics techniques. However, a standard reference for human genomics investigation is missing, limiting the current understanding and knowledge on the impact of (poly)phenols on humans when using omics approaches. In this study, we present a computational functional investigation of 121 candidate human genes involved in (poly)phenol absorption, distribution, metabolism, and excretion to propose a standard reference for genomics analyses in personalised nutrition and health research. Starting from genomics information, this reference framework includes gene networks, exploring their functional consequences and favouring the understanding of protein-protein interactions, thus paving the way for future multi-omics approaches.

Indexed as

Computational BiologyGenomicsPhenolsPolyphenolsGene Regulatory NetworksHumansPhenolsPolyphenols

Identifiers

PMID41258737
PMCPMC12628759

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.