Preprint Review Version 1 Preserved in Portico This version is not peer-reviewed

Ten “Cheat Codes” for Measuring Oxidative Stress in Humans

Version 1 : Received: 9 May 2024 / Approved: 11 May 2024 / Online: 12 May 2024 (07:44:26 CEST)

How to cite: Cobley, J.; Margaritelis, N.; Chatzinikolaou, P.; Nikolaidis, M.; Davison, G. Ten “Cheat Codes” for Measuring Oxidative Stress in Humans. Preprints 2024, 2024050729. https://doi.org/10.20944/preprints202405.0729.v1 Cobley, J.; Margaritelis, N.; Chatzinikolaou, P.; Nikolaidis, M.; Davison, G. Ten “Cheat Codes” for Measuring Oxidative Stress in Humans. Preprints 2024, 2024050729. https://doi.org/10.20944/preprints202405.0729.v1

Abstract

Formidable and often seemingly insurmountable conceptual, technical, and methodological challenges hamper the measurement of oxidative stress in humans. For instance, fraught and flawed methods, such as the thiobarbituric acid reactive substances assay kits for lipid peroxidation, rate-limit progress. To advance translational redox research, we present ten comprehensive “cheat codes” for measuring oxidative stress in humans. The cheat codes include analytical approaches to assess reactive oxygen species, antioxidants, biomarkers of oxidative damage and redox regulation. They provide essential conceptual, technical, and methodological information inclusive of curated “do” and “don’t” guidelines. Given the biochemical complexity of oxidative stress, we present a research question-grounded decision tree guide for selecting the most appropriate cheat code (s) to implement in a prospective human experiment. Worked examples demonstrate the benefits of the decision tree-based cheat code selection tool. The ten cheat codes define an invaluable resource for measuring oxidative stress in humans.

Keywords

Oxidative stress; ROS; oxidative damage; redox regulation; antioxidant; method

Subject

Biology and Life Sciences, Biochemistry and Molecular Biology

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