Targeted Redox Regulation α-Ketoglutarate Dehydrogenase Complex for the Treatment of Human Diseases
Bibliographic record
Abstract
α-ketoglutarate dehydrogenase complex (KGDHc) is a crucial enzyme in the tricarboxylic acid (TCA) cycle that intersects monosaccharides, amino acids, and fatty acid catabolism with oxidative phosphorylation (OxPhos). A key feature of KGDHc is its ability to sense changes in the redox environment through the reversible oxidation of the vicinal lipoic acid thiols of its dihydrolipoamide succinyltransferase (DLST; E2) subunit, which controls its activity and, by extension, OxPhos. This characteristic inculcates KGDHc with redox regulatory properties for the modulation of metabolism and mediating of intra- and intercellular signals. The innate capacity of KGDHc to participate in the regulation of cell redox homeodynamics also occurs through the production of mitochondrial hydrogen peroxide (mtH2O2), which is generated by the dihydrolipoamide dehydrogenase (DLD; E3) downstream from the E2 subunit. Reversible covalent redox modification of the E2 subunit controls this mtH2O2 production by KGDHc, which not only protects from oxidative distress but also modulates oxidative eustress pathways. The importance of KGDHc in modulating redox homeodynamics is underscored by the pathogenesis of neurological and metabolic disorders that occur due to the hyper-generation of mtH2O2 by this enzyme complex. This also implies that the targeted redox modification of the E2 subunit could be a potential therapeutic strategy for limiting the oxidative distress triggered by KGDHc mtH2O2 hyper-generation. In this short article, I will discuss recent findings demonstrating KGDHc is a potent mtH2O2 source that can trigger the manifestation of several neurological and metabolic diseases, including non-alcoholic fatty liver disease (NAFLD), inflammation, and cancer, and the targeted redox modification of the E2 subunit could alleviate these syndromes.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".