Evidence map›Paper›PMID 41577799›Full record

Observational studyScientific reports2026

Influence of nutrition pattern on exercise performance, inflammation and muscle damage biomarkers in a non-athlete healthy young cohort.

David Ramiro-Cortijo, Ricardo Alonso de Celada, Pilar Rodríguez-Rodríguez, Benchaporn Saengnak, Giorgia Barrano, Giuseppe Delledera, Jose Magalhães, Silvia M Arribas

Abstract readObservational Study
In one paragraph

Observational study in Scientific reports, 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

8 authors.

David Ramiro-CortijoDepartment of Physiology, Faculty of Medicine, Universidad Autónoma de Madrid, Madrid, 28029, Spain.
Ricardo Alonso de CeladaDepartment of Physiology, Faculty of Medicine, Universidad Autónoma de Madrid, Madrid, 28029, Spain.
Pilar Rodríguez-RodríguezDepartment of Physiology, Faculty of Medicine, Universidad Autónoma de Madrid, Madrid, 28029, Spain.
Benchaporn SaengnakDepartment of Anatomy, Faculty of Medicine, Khon Kaen University, Khon Kaen, 40002, Thailand.
Giorgia BarranoDepartment of Physiology, Faculty of Medicine, Universidad Autónoma de Madrid, Madrid, 28029, Spain.
Giuseppe DellederaDepartment of Physiology, Faculty of Medicine, Universidad Autónoma de Madrid, Madrid, 28029, Spain.
Jose MagalhãesLaboratory of Metabolism and Exercise (LaMetEx), Research Centre in Physical Activity, Health and Leisure (CIAFEL), Faculty of Sport, University of Porto, Porto, 4200-450, Portugal.
Silvia M ArribasDepartment of Physiology, Faculty of Medicine, Universidad Autónoma de Madrid, Madrid, 28029, Spain. silvia.arribas@uam.es.

Funding

Ministerio de Ciencia Innovación y Universidades (Spain) PID2022-138440OB-I00
6 · The paper itself

Abstract

Physical exercise induces muscle damage and inflammation, particularly in non-trained individuals, leading to reduced performance. This study explores the influence of dietary patterns on exercise outcomes and systemic physiological biomarkers in this population. This is an observational study complemented by prospective short-term follow-up to assess the influence of diet on exercise-induced inflammation and muscle damage. Recreationally active volunteers (45 females and 33 males) answered a food frequency questionnaire corrected by FETA. A step-exercise was performed until exhaustion and plasma samples were obtained before (basal) and 2 h and 48 h post-exercise. Muscle damage biomarkers (creatine kinase, CK; lactate dehydrogenase, LDH activities) were evaluated through commercial kits and spectrophotometry, and 8 cytokines were assessed by multiplex ELISA. Principal components analysis (PCA) was applied to cytokine to derive systemic inflammatory scores, and muscle damage biomarkers were standardized to comparable scales. Structural equation modeling was then used to evaluate the latent nutritional pattern and its associations with inflammation, muscle damage, and exercise performance. A dietary pattern characterized by higher intake of proteins, fats, and carbohydrates positively influenced physical performance through muscle mass. PCA evidenced 2 inflammation scores (PC1 and PC2), which explained most of cytokine´s variance with opposing correlations with nutrients. PC1 had a negative correlation with proteins, unsaturated fats, folates and vitamin D, while PC2 had positive correlations with simple sugars, saturated fats, insoluble fiber and folates. Exercise volume influenced early systemic inflammation but had no effect on CK or LDH. No sex differences, other than muscle mass, were detected in the population. In healthy young non-athlete population, nutrient-rich dietary patterns appear to enhance exercise performance through muscle mass in both sexes. Healthy fat intake is a relevant factor modulating these responses and plays a role in inflammation and recovery.

Indexed as

BiomarkersDietExerciseInflammationMuscle, SkeletalAdultCreatine KinaseCytokinesFemaleHumansMaleProspective StudiesYoung AdultBiomarkersCreatine KinaseCytokinesCreatine kinaseCytokinesExerciseInflammationNon-athlete populationNutritionStructural equations

Identifiers

PMID41577799
PMCPMC12905321

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LicenceCC BY-NC-ND
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Registered trials

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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.