Evidence map›Paper›PMID 35937778›Full record

ArticleJournal of the International Society of Sports Nutrition2022

MiRNA-based "fitness score" to assess the individual response to diet, metabolism, and exercise.

Ulrike D B Krammer, Sylvia Tschida, Julia Berner, Stephanie Lilja, Olivier J Switzeny, Berit Hippe, Petra Rust, Alexander G Haslberger

Open access · goldAbstract read
In one paragraph

Article in Journal of the International Society of Sports Nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.9field-weighted citation impact, top 28% 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

7 citing papers in PubMed, 11 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

8 authors at 1 institution in 1 country.

Ulrike D B KrammerDepartment of Nutritional Sciences, University of Vienna, Vienna, Austria.ORCID https://orcid.org/0000-0001-6053-9604
Sylvia TschidaDepartment of Nutritional Sciences, University of Vienna, Vienna, Austria.
Julia BernerDepartment of Nutritional Sciences, University of Vienna, Vienna, Austria.
Stephanie LiljaDepartment of Nutritional Sciences, University of Vienna, Vienna, Austria.
Olivier J SwitzenyHealthBioCare GmbH, Vienna, Austria.ORCID https://orcid.org/0000-0001-6279-2558
Berit HippeDepartment of Nutritional Sciences, University of Vienna, Vienna, Austria.ORCID https://orcid.org/0000-0001-7830-8812
Petra RustDepartment of Nutritional Sciences, University of Vienna, Vienna, Austria.ORCID https://orcid.org/0000-0002-6477-8407
Alexander G HaslbergerDepartment of Nutritional Sciences, University of Vienna, Vienna, Austria.ORCID https://orcid.org/0000-0001-9699-537X
University of Vienna · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Regular, especially sustained exercise plays an important role in the prevention and treatment of multiple chronic diseases. Some of the underlying molecular and cellular mechanisms behind the adaptive response to physical activity are still unclear, but recent findings suggest a possible role of epigenetic mechanisms, especially miRNAs, in the progression and management of exercise-related changes. Due to the combination of the analysis of epigenetic biomarkers (miRNAs), the intake of food and supplements, and genetic dispositions, a "fitness score" was evaluated to assess the individual response to nutrition, exercise, and metabolic influence. Methods: In response to a 12-week sports intervention, we analyzed genetic and epigenetic biomarkers in capillary blood from 61 sedentary, healthy participants (66.1% females, 33.9% males, mean age 33 years), including Results: Exercise training decreased the expression of miR-20a-5p, -22-5p, and -505-3p (p < 0.02) and improved the "fitness score," which estimates eight different lifestyle factors to assess, nutrition, inflammation, cardiovascular fitness, injury risk, regeneration, muscle and hydration status, as well as stress level. In addition, we were able to determine correlations between individual miRNAs, miR-20a-5p, -22-5p, and -101-3p (p < 0.04), and the genetic predisposition for endurance and/or strength and obesity risk ( Conclusions: In summary, our results indicate that a combined analysis of several biomarkers (miRNAs) can provide information about an individual's training adaptions/fitness, body composition, nutritional needs, and possible recovery. In contrast to most studies using muscle biopsies, we were able to show that these biomarkers can also be measured using a minimally invasive method.

Indexed as

MicroRNAsActininAdultAlpha-Ketoglutarate-Dependent Dioxygenase FTOBiomarkersBody CompositionDietExerciseFemaleHumansMaleActininACTN3 protein, humanAlpha-Ketoglutarate-Dependent Dioxygenase FTOBiomarkersFTO protein, humanMicroRNAsbiomarkerepigeneticExercisefitness scoremiRNAsnutrition

Identifiers

PMID35937778
PMCPMC9351578
OpenAlexW4289522144

What OpenQuestion holds

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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.