Retooling <i>Leishmania</i> metabolism: from sand fly gut to human macrophage
Bibliographic record
Abstract
To survive extremely different environments, intracellular parasites require highly adaptable physiological and metabolic systems. Leishmania donovani extracellular promastigotes reside in a glucose-rich, slightly alkaline environment in the sand fly vector alimentary tract. On entry into human macrophage phagolysosomes, promastigotes differentiate into intracellular amastigotes. These cope with an acidic milieu, where glucose is scarce while amino acids are abundant. Here, we use an axenic differentiation model and a novel high-coverage, comparative proteomic methodology to analyze in detail protein expression changes throughout the differentiation process. The analysis identified and quantified 21% of the parasite proteome across 7 time points during differentiation. The data reveal a delayed increase in gluconeogenesis enzymes, coinciding with a decrease in glycolytic capacity. At the same time, beta-oxidation, amino acid catabolism, tricarboxylic acid cycle, mitochondrial respiration chain, and oxidative phosphorylation capacities are all up-regulated. The results indicate that the differentiating parasite shifts from glucose to fatty acids and amino acids as its main energy source. Furthermore, glycerol and amino acids are used as precursors for sugar synthesis, compensating for lack of exogenous sugars. These changes occur while promastigotes undergo morphological transformation. Our findings provide new insight into changes occurring in single-cell organisms during a developmental process.
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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".