Metabolic Imbalance of Homocysteine and Hydrogen Sulfide in Kidney Disease
Why this work is in the frame
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Bibliographic record
Abstract
Homocysteine (Hcy) and hydrogen sulfide (H2S) are important molecules produced during the metabolism of sulfur-containing amino acids. Hcy metabolism is central to the supply of methyl groups that are essential for biological function. Hcy can be either regenerated to methionine or metabolized to cysteine, a precursor for glutathione synthesis. Cystathionine-β-synthase (CBS) and cystathionine-γ-lyase (CSE) play a crucial role in metabolizing Hcy to cysteine through the transsulfuration pathway. These two enzymes are also responsible for H2S generation through desulfuration reactions. H2S, at physiological levels serves as a gaseous mediator and has multifaceted effects. Metabolic imbalance of Hcy and H2S has been implicated in pathological conditions including oxidative stress, inflammation, cardiovascular and cerebral dysfunction, fatty liver disease and ischemiareperfusion injury. Organs such as liver, kidney, gut and pancreas contain all the enzymes that are required for Hcy metabolism. The kidney plays an important role in removing Hcy from the circulation. Hyperhomocysteinemia, a condition of elevated blood Hcy level, is a common clinical finding in patients with chronic kidney disease (CKD) or acute kidney injury (AKI), the latter is often caused by ischemia-reperfusion. This paper reviews exiting literatures regarding (1) the role of kidney in regulating Hcy and H2S metabolism; (2) disruption of sulfur-containing amino acid metabolism during ischemiareperfusion; (3) impact of metabolic imbalance of Hcy and H2S on kidney function. Better understanding of molecular mechanisms that regulate Hcy and H2S metabolism under physiological and pathophysiological conditions will help improve therapeutic strategies for patients with kidney disease or other organ injuries.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 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 | 0.001 |
| 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 it