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Wagner diagram for modeling O2 pathway : calculation and graphical display by the Helsinki O2 Pathway Tool

Year of publication

2024

Authors

Rissanen, Antti-Pekka E.; Mikkola, Tom; Gagnon, Dominique D.; Lehtonen, Elias; Lukkarinen, Sakari; Peltonen, Juha E.

Abstract

Maximal O2 uptake (VO2max) reflects the individual’s maximal rate of O2 transport and utilization through the integrated whole-body pathway composed of the lungs, heart, blood, circulation, and metabolically active tissues. As such, VO2max is strongly associated with physical capacity as well as overall health and thus acts as one predictor of physical performance and as a vital sign in determination of status and progress of numerous clinical conditions. Quantifying the contribution of single parts of the multistep O2 pathway to VO2max provides mechanistic insights into exercise (in)tolerance and into therapy-, training-, or disuse-induced adaptations at individual or group levels. We developed a desktop application (Helsinki O2 Pathway Tool—HO2PT) to model numerical and graphical display of the O2 pathway based on the ‘Wagner diagram’ originally formulated by Peter D. Wagner and his colleagues. Approach. The HO2PT was developed and programmed in Python to integrate the Fick principle and Fick’s law of diffusion into a computational system to import, calculate, graphically display, and export variables of the Wagner diagram. Main results. The HO2PT models O2 pathway both numerically and graphically according to the Wagner diagram and pertains to conditions under which the mitochondrial oxidative capacity of metabolically active tissues exceeds the capacity of the O2 transport system to deliver O2 to the mitochondria. The tool is based on the Python open source code and libraries and freely and publicly available online for Windows, macOS, and Linux operating systems. Significance. The HO2PT offers a novel functional and demonstrative platform for those interested in examining VO2max and its determinants by using the Wagner diagram. It will improve access to and usability of Wagner’s and his colleagues’ integrated physiological model and thereby benefit users across the wide spectrum of contexts such as scientific research, education, exercise testing, sports coaching, and clinical medicine.
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Organizations and authors

University of Jyväskylä

Gagnon Dominique Orcid -palvelun logo

University of Helsinki

Rissanen Antti-Pekka E.

Gagnon Dominique D.

Lehtonen Elias

Peltonen Juha

Helsinki University Hospital

Rissanen Antti-Pekka E.

Gagnon Dominique D.

Lehtonen Elias

Peltonen Juha

Publication type

Publication format

Article

Parent publication type

Journal

Article type

Original article

Audience

Scientific

Peer-reviewed

Peer-Reviewed

MINEDU's publication type classification code

A1 Journal article (refereed), original research

Publication channel information

Parent publication name

Physiological Measurement

Volume

45

Issue

5

Article number

055028

​Publication forum

65067

​Publication forum level

1

Open access

Open access in the publisher’s service

Yes

Open access of publication channel

Partially open publication channel

License of the publisher’s version

CC BY

Self-archived

Yes

Other information

Fields of science

Medical engineering; Sport and fitness sciences; General medicine, internal medicine and other clinical medicine

Identified topic

[object Object]

Publication country

United Kingdom

Internationality of the publisher

International

Language

English

International co-publication

Yes

Co-publication with a company

No

DOI

10.1088/1361-6579/ad4c36

The publication is included in the Ministry of Education and Culture’s Publication data collection

Yes