<i>Leishmania</i> GP63 Alters Host Signaling Through Cleavage-Activated Protein Tyrosine Phosphatases
Bibliographic record
Abstract
With more than 12 million people affected worldwide, 2 million new cases occurring per year, and the rapid emergence of drug resistance and treatment failure, leishmaniasis is an infectious disease for which research on drug and vaccine development, host-pathogen, and vector-parasite interactions are current international priorities. Upon Leishmania-macrophage interaction, activation of the protein tyrosine phosphatase (PTP) SHP-1 rapidly leads to the down-regulation of Janus kinase and mitogen-activated protein kinase signaling, resulting in the attenuation of host innate inflammatory responses and of various microbicidal macrophage functions. We report that, in addition to SHP-1, the PTPs PTP1B and TCPTP are activated and posttranslationally modified in infected macrophages, and we identify an essential role for PTP1B in the in vivo progression of Leishmania infection. The mechanism underlying PTP modulation involves the proteolytic activity of the Leishmania surface protease GP63. Access of GP63 to macrophage PTP1B, TCPTP, and SHP-1 is mediated in part by a lipid raft-dependent mechanism, resulting in PTP cleavage and stimulation of phosphatase activity. Collectively, our data present a mechanism of cleavage-dependent activation of macrophage PTPs by an obligate intracellular pathogen and show that internalization of GP63, a key Leishmania virulence factor, into host macrophages is a strategy the parasite uses to interact and survive within its host.
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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".