Hepatocyte metabolism of coenzyme Q<sub>1</sub> (ubiquinone‐5) to its sulfate conjugate decreases its antioxidant activity
Bibliographic record
Abstract
Previous studies on the metabolism of coenyzme Q (CoQ) have focused on products found in the urine, bile or feces. However, the metabolites found in these samples were end products from a multitude of catabolic processes which did not necessarily reflect CoQ intracellular metabolism (e.g. in the liver, the major site of CoQ synthesis or metabolism). Using isolated rat hepatocytes, we have found that the sulfation of coenzyme Q1 (CoQ1) was the initial and dominant step following its reduction to the hydroquinone. This metabolic process is important as conjugation may occur on the hydroquinone metabolites of any coenzyme10 scission product retaining the quinone ring. By using rat liver cytosol, we were able to identify the monosulfated metabolite of CoQ1. The CoQ1 sulfate conjugate was identified by mass spectrometry followed by tandem mass spectrometry. The rate of formation of the CoQ1 sulfate conjugate was markedly increased by the addition of NADH and was prevented by dicumarol, a DT-diaphorase (NQO1) inhibitor. CoQ1 sulfate conjugate formation catalysed by cytosol was inhibited by the sulfotransferase 1A (SULT1A) inhibitor, pentachlorophenol (PCP) suggesting that sulfation was carried out by the SULT 1A isoform. CoQ1 sulfation in isolated hepatocytes and inversely CoQ1 hydroquinone formation were dependent on the concentration of inorganic sulfate in the media. Intracellular sulfation also decreased CoQ1 antioxidant and cytoprotective activity towards cumene hydroperoxide (CHP) induced cell death. Sulfotransferases may therefore play a significant role in endogenous CoQ metabolism following its degradation to short chain products.
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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) | 0.000 | 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) | 0.002 | 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 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".