Aluminum Triggers Decreased Aconitase Activity via Fe-S Cluster Disruption and the Overexpression of Isocitrate Dehydrogenase and Isocitrate Lyase
Bibliographic record
Abstract
Although aluminum is known to be toxic to most organisms, its precise biochemical interactions are not fully understood. In the present study, we demonstrate that aluminum promotes the inhibition of aconitase (Acn) activity via the perturbation of the Fe-S cluster in Pseudomonas fluorescens. Despite the significant decrease in citrate isomerization activity, cellular survival is assured by the overexpression of isocitrate lyase and isocitrate dehydrogenase (IDH)-NADP+. 13C NMR spectroscopic studies, Blue Native PAGE, and Western blot analyses indicated that although the decrease in Acn activity is concomitant with the increase of aluminum in the culture, the amount of Acn expressed is not sensitive to the concentration of the trivalent metal. A 6-fold decrease in Acn activity and no discernable change in protein content in aluminum-stressed cultures were observed. The addition of Fe(NH4)2(SO4)2 in a reducing environment led to a significant recovery in Acn activity. This enzymatic activity reverted to normal levels when aluminum-stressed cells were transferred to either a control or an iron-supplemented medium. The overexpression of the two isocitrate-metabolizing enzymes isocitrate lyase and IDH-NADP+ appears to mitigate the deficit in Acn activity. The levels of these enzymes are dependent on the aluminum content of the culture and appear to be under transcriptional control. Hence, the regulation of the enzymes involved in the homeostasis of isocitrate constitutes a pivotal component of the global metabolic strategy that ensures the survival of this organism in an aluminum citrate environment.
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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) | 0.001 | 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".