TY - JOUR
T1 - Ten “Cheat Codes” for Measuring Oxidative Stress in Humans
AU - Cobley, James N.
AU - Margaritelis, Nikos V.
AU - Chatzinikolaou, Panagiotis N.
AU - Nikolaidis, Michalis G.
AU - Davison, Gareth W.
N1 - © 2024 by the authors
PY - 2024/7
Y1 - 2024/7
N2 - 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, 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.
AB - 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, 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.
KW - oxidative stress
KW - ROS
KW - Oxidative damage
KW - Redox regulation
KW - antioxidant
KW - method
KW - redox regulation
KW - oxidative damage
UR - http://www.scopus.com/inward/record.url?scp=85199587102&partnerID=8YFLogxK
U2 - 10.3390/antiox13070877
DO - 10.3390/antiox13070877
M3 - Article
C2 - 39061945
VL - 13
JO - Antioxidants
JF - Antioxidants
IS - 7
M1 - 877
ER -