50 shades of oxidative stress: A state-specific cysteine redox pattern hypothesis

Cobley, James N.

doi:10.1016/j.redox.2023.102936

Cited by 9 publications

(2 citation statements)

References 200 publications

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“…The equations formulate input-output relationships (see Figure 3). The biochemical reactions underlying the output constitute a "process" module (input → process → output) (Cobley, 2023a). For example, equation 1 specifies a ROS input, such as increased nuclear hydroxyl radical generation, producing an oxidative damage output, such as guanine base oxidation in DNA, via process-specific biochemical reactions (Cobley et al, 2015a).…”

Section: (Equation 3)mentioning

confidence: 99%

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Ten “Cheat Codes” for Measuring Oxidative Stress in Humans

Cobley,

Margaritelis,

Chatzinikolaou

et al. 2024

Preprint

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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.

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Section: (Equation 3)mentioning

confidence: 99%

“…The sheer biochemical complexity of oxidative stress presents multifaceted analytical challenges (Cobley, 2023a;Sies, 1986). Like a redox Laplace demon, there are no means to measure all of the relevant biochemistry in humans: to view every pixel of the picture in every dimension from ROS to oxidative damage.…”

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confidence: 99%