Lymphotoxin αβ2 (Membrane Lymphotoxin) Is Critically Important for Resistance to <i>Leishmania major</i> Infection in Mice
Bibliographic record
Abstract
Although the essential role of TNF-alpha in the control of intracellular pathogens including Leishmania major is well established, it is uncertain whether the related cytokine lymphotoxin alphabeta2 (LTalpha1beta2, membrane lymphotoxin) plays any role in this process. In this study, we investigated the contribution of membrane lymphotoxin in host response to L. major infection by using LTbeta-deficient (LTbeta(-/-)) mice on the resistant C57BL/6 background. Despite mounting early immune responses comparable to those of wild-type (WT) mice, LTbeta(-/-) mice developed chronic nonhealing cutaneous lesions due to progressive and unresolving inflammation that is accompanied by uncontrolled parasite proliferation. This chronic disease was associated with striking reduction in IL-12 and Ag-specific IFN-gamma production by splenocytes from infected mice. Consistent with defective cellular immune response, infected LTbeta(-/-) mice had significantly low Ag-specific serum IgG1 and IgG2a levels compared with WT mice. Although administration of rIL-12 to L. major-infected LTbeta(-/-) mice caused complete resolution of chronic lesions, it only partially (but significantly) reduced parasite proliferation. In contrast, blockade of LIGHT signaling in infected LTbeta(-/-) mice resulted in acute and progressive lesion development, massive parasite proliferation, and dissemination to the visceral organs. Although infected LTbeta(-/-) WT bone marrow chimeric mice were more resistant than LTbeta(-/-) mice, they still had reduced ability to control parasites and showed defective IL-12 and IFN-gamma production compared with infected WT mice. These results suggest that membrane lymphotoxin plays critical role in resistance to L. major by promoting effective T cell-mediated anti-Leishmania immunity.
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How this classification was reachedexpand
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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".