Differential Rates of Glutathione Oxidation for Assessment of Cellular Redox Status and Antioxidant Capacity by Capillary Electrophoresis-Mass Spectrometry: An Elusive Biomarker of Oxidative Stress
Bibliographic record
Abstract
Glutathione metabolism plays a fundamental role in maintaining homeostasis and regulating the redox environment of a cell. Despite the widespread interest in quantifying glutathione metabolites in oxidative stress research, conventional techniques are hampered by complicated sample handling procedures to prevent significant oxidation artifacts generated during sample collection, sample pretreatment, and/or chemical analysis. In this report, a simple and validated method for glutathione analysis from filtered red blood cell (RBC) lysates was developed using capillary electrophoresis-electrospray ionization-mass spectrometry (CE-ESI-MS) in conjunction with fingerprick microsampling and ultrafiltration. About a 3-fold improvement in precision with nanomolar detection limits was achieved when using online sample preconcentration with CE-ESI-MS via a modified injection sequence, which permitted accurate determination of the intracellular reduced/oxidized glutathione ratio (GSH/GSSG), as well as other glutathione species, including protein-bound glutathione mixed disulfide (PSSG), free glutathione mixed disulfides (GSSR) and glutathione thioether conjugates (GSX). In this work, the redox status of filtered hemolysates was determined by the equilibrium half-cell reduction potential for glutathione (E(GSSG/2GSH)), whereas its intrinsic antioxidant capacity was assessed by the apparent rate of metal-catalyzed oxidation of glutathione. In-vitro incubation studies of intact RBCs with 1-chloro-2,4-dinitrobenzene (CDNB) and N-acetyl-L-cysteine (NAC) were found to significantly alter E(GSSG/2GSH) and/or glutathione oxidation kinetics (e.g., k(GSSG)) relative to normal controls based on their function as a toxic electrophilic compound and a competitive free radical scavenging/reducing agent, respectively. Differential rates of glutathione oxidation (DIRGO) using CE-ESI-MS offers a novel strategy for global assessment of the impact of intrinsic metabolite constituents (i.e., metabolome) and/or extrinsic perturbants on cellular redox status that is relevant to improved understanding of aging and the pathogenesis of acute or chronic disease states.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".