Evidence map›Paper›PMID 36138329›Full record

ArticleSports medicine - open2022

Network Physiology of Exercise: Beyond Molecular and Omics Perspectives.

Natàlia Balagué, Robert Hristovski, Maricarmen Almarcha, Sergi Garcia-Retortillo, Plamen Ch Ivanov

Abstract readLetter
In one paragraph

Article in Sports medicine - open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

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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

5 authors.

Natàlia BalaguéComplex Systems in Sport Research Group, Institut Nacional d'Educació Fisica de Catalunya (INEFC), University of Barcelona (UB), Barcelona, Spain. nataliabalague@gmail.com.ORCID http://orcid.org/0000-0001-5076-9166
Robert HristovskiComplex Systems in Sport Research Group, Faculty of Physical Education, Sport and Health, Ss. Cyril and Methodius University, 1000, Skopje, Republic of Macedonia.ORCID http://orcid.org/0000-0001-6805-2833
Maricarmen AlmarchaComplex Systems in Sport Research Group, Institut Nacional d'Educació Fisica de Catalunya (INEFC), University of Barcelona (UB), Barcelona, Spain.ORCID http://orcid.org/0000-0001-9070-0155
Sergi Garcia-RetortilloComplex Systems in Sport Research Group, Institut Nacional d'Educació Fisica de Catalunya (INEFC), University of Barcelona (UB), Barcelona, Spain.ORCID http://orcid.org/0000-0002-4867-1589
Plamen Ch IvanovKeck Laboratory for Network Physiology, Department of Physics, Boston University, Boston, MA, 02215, USA. plamen@buphy.bu.edu.ORCID https://orcid.org/0000-0001-7629-762X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Molecular Exercise Physiology and Omics approaches represent an important step toward synthesis and integration, the original essence of Physiology. Despite the significant progress they have introduced in Exercise Physiology (EP), some of their theoretical and methodological assumptions are still limiting the understanding of the complexity of sport-related phenomena. Based on general principles of biological evolution and supported by complex network science, this paper aims to contrast theoretical and methodological aspects of molecular and network-based approaches to EP. After explaining the main EP challenges and why sport-related phenomena cannot be understood if reduced to the molecular level, the paper proposes some methodological research advances related to the type of studied variables and measures, the data acquisition techniques, the type of data analysis and the assumed relations among physiological levels. Inspired by Network Physiology, Network Physiology of Exercise provides a new paradigm and formalism to quantify cross-communication among diverse systems across levels and time scales to improve our understanding of exercise-related phenomena and opens new horizons for exercise testing in health and disease.

Indexed as

Dynamic couplingsExercise-related processesHorizontal integrationIntra-individual co-variabilityMultivariate time series analysisNetwork PhysiologyPhysiological interactionsVertical integration

Identifiers

PMID36138329
PMCPMC9500136

What OpenQuestion holds

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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.