Evidence map›Paper›PMID 37839954›Full record

ReviewRedox biology2023

Nutrigenomics and redox regulation: Concepts relating to the Special Issue on nutrigenomics.

Lars-Oliver Klotz, Carsten Carlberg

Open access · goldAbstract readReview
In one paragraph

Review in Redox biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.1field-weighted citation impact, top 8% of its field
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

6 citing papers in PubMed, 10 citations in OpenAlex.

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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

2 authors at 2 institutions in 3 countries.

Lars-Oliver KlotzInstitute of Nutritional Sciences, Nutrigenomics Section, Friedrich Schiller University Jena, Jena, Germany.
Carsten CarlbergInstitute of Animal Reproduction and Food Research, Polish Academy of Sciences, PL-10-748, Olsztyn, Poland; School of Medicine, Institute of Biomedicine, University of Eastern Finland, FI-70211, Kuopio, Finland. Electronic address: c.carlberg@pan.olsztyn.pl.
Friedrich Schiller University Jena · DEUniversity of Eastern Finland · FI

Funding

Deutsche Forschungsgemeinschaft (DFG, Bonn, Germany) RTG 2155 (PROMOAGE)European Union's Horizon2020 research and innovation program 952601
6 · The paper itself

Abstract

During our whole lifespan, from conception to death, the epigenomes of all tissues and cell types of our body integrate signals from the environment. This includes signals derived from our diet and the uptake of macro- and micronutrients. In most cases, this leads only to transient changes, but some effects of this epigenome programming process are persistent and can even be transferred to the next generation. Both epigenetic programming and redox processes are affected by the individual choice of diet and other lifestyle decisions like physical activity. The nutrient-gene communication pathways have adapted during human evolution and are essential for maintaining health. However, when they are maladaptive, such as in long-term obesity, they significantly contribute to diseases like type 2 diabetes and cancer. The field of nutrigenomics investigates nutrition-related signal transduction pathways and their effect on gene expression involving interactions both with the genome and the epigenomes. Several of these diet-(epi)genome interactions and the involved signal transduction cascades are redox-regulated. Examples include the effects of the NAD

Indexed as

Diabetes Mellitus, Type 2NutrigenomicsDietHumansObesityOxidation-ReductionEpigenetic programmingEpigenomicsEvolutionLifestyleNutrigenomicsRedox regulationROS

Identifiers

PMID37839954
PMCPMC10624588
OpenAlexW4387345292

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.