A dataset of proteomic changes during human heat stress and heat acclimation

Bibliographic Details
Title: A dataset of proteomic changes during human heat stress and heat acclimation
Authors: Daniel Gagnon, Hadiatou Barry, Amina Barhdadi, Essaid Oussaid, Ian Mongrain, Louis-Philippe Lemieux Perreault, Marie-Pierre Dubé
Source: Scientific Data, Vol 10, Iss 1, Pp 1-6 (2023)
Publisher Information: Nature Portfolio, 2023.
Publication Year: 2023
Collection: LCC:Science
Subject Terms: Science
More Details: Abstract Hotter climates have important impacts on human health and performance. Yet, the cellular and molecular responses involved in human heat stress and acclimation remain understudied. This dataset includes physiological measurements and the plasma concentration of 2,938 proteins collected from 10 healthy adults, before and during passive heat stress that was performed both prior to and after a 7-day heat acclimation protocol. Physiological measurements included body temperatures, sweat rate, cutaneous vascular conductance, blood pressure, and skin sympathetic nerve activity. The proteomic dataset was generated using the Olink Explore 3072 assay, enabling a high-multiplex antibody-based assessment of protein changes based on proximity extension assay technology. The data need to be interpreted in the context of the moderate level of body hyperthermia attained and the specific demographic of young, healthy adults. We have made this dataset publicly available to facilitate research into the cellular and molecular mechanisms involved in human heat stress and acclimation, crucial for addressing the health and performance challenges posed by rising temperatures.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 2052-4463
Relation: https://doaj.org/toc/2052-4463
DOI: 10.1038/s41597-023-02809-5
Access URL: https://doaj.org/article/d860e0e7f58b43b5a5e7fa78aefad97a
Accession Number: edsdoj.860e0e7f58b43b5a5e7fa78aefad97a
Database: Directory of Open Access Journals
More Details
ISSN:20524463
DOI:10.1038/s41597-023-02809-5
Published in:Scientific Data
Language:English