Evidence map›Paper›PMID 37305078›Full record

ArticleFrontiers in nutrition2023

Eat4Genes: a bioinformatic rational gene targeting app and prototype model for improving human health.

Morgan L Ford, Jessica M Cooley, Veda Sripada, Zhengwen Xu, John S Erickson, Kristin P Bennett, Dana R Crawford

Abstract read
In one paragraph

Article in Frontiers in nutrition, 2023. 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. 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

7 authors.

Morgan L FordDepartment of Mathematical Sciences, Rensselaer Polytechnic Institute, Troy, NY, United States.
Jessica M CooleyDepartment of Mathematical Sciences, Rensselaer Polytechnic Institute, Troy, NY, United States.
Veda SripadaDepartment of Immunology and Microbial Disease, Albany Medical College, Albany, NY, United States.
Zhengwen XuDepartment of Mathematical Sciences, Rensselaer Polytechnic Institute, Troy, NY, United States.
John S EricksonRensselaer Institute for Data Exploration and Applications, Renssalaer Polytechnic Institute, Troy, NY, United States.
Kristin P BennettDepartment of Mathematical Sciences, Rensselaer Polytechnic Institute, Troy, NY, United States.
Dana R CrawfordDepartment of Immunology and Microbial Disease, Albany Medical College, Albany, NY, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction and aims: Dietary Rational Gene Targeting (DRGT) is a therapeutic dietary strategy that uses healthy dietary agents to modulate the expression of disease-causing genes back toward the normal. Here we use the DRGT approach to (1) identify human studies assessing gene expression after ingestion of healthy dietary agents with an emphasis on whole foods, and (2) use this data to construct an online dietary guide app prototype toward eventually aiding patients, healthcare providers, community and researchers in treating and preventing numerous health conditions. Methods: We used the keywords "human", "gene expression" and separately, 51 different dietary agents with reported health benefits to search GEO, PubMed, Google Scholar, Clinical trials, Cochrane library, and EMBL-EBI databases for related studies. Studies meeting qualifying criteria were assessed for gene modulations. The R-Shiny platform was utilized to construct an interactive app called "Eat4Genes". Results: Fifty-one human ingestion studies (37 whole food related) and 96 key risk genes were identified. Human gene expression studies were found for 18 of 41 searched whole foods or extracts. App construction included the option to select either specific conditions/diseases or genes followed by food guide suggestions, key target genes, data sources and links, dietary suggestion rankings, bar chart or bubble chart visualization, optional full report, and nutrient categories. We also present user scenarios from physician and researcher perspectives. Conclusion: In conclusion, an interactive dietary guide app prototype has been constructed as a first step towards eventually translating our DRGT strategy into an innovative, low-cost, healthy, and readily translatable public resource to improve health.

Indexed as

appbioinformaticsdietary guidedietary rational gene targetinggene expressionhealthcarehealthy dietary agentsrisk genes

Identifiers

PMID37305078
PMCPMC10250663

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.