HIV-1 glycoprotein 120 induces the MMP-9 cytopathogenic factor production that is abolished by inhibition of the p38 mitogen-activated protein kinase signaling pathway
Bibliographic record
Abstract
It has been previously shown that the HIV-1 envelope glycoprotein 120 (gp120) activates cell signaling by CXCR4, independently of CD4. The present study examines the involvement of different intracellular signaling pathways and their physiopathologic consequences following the CD4-independent interaction between CXCR4 or CCR5 and gp120 in different cell types: primary T cells, CD4(-)/CXCR4(+)/CCR5(+) T cells, or glioma cells. These interactions were compared with those obtained with natural ligands, stromal cell-derived factor 1 alpha (SDF-1alpha) (CXCL12) and macrophage inflammatory protein 1 beta (MIP-1beta) (CCL4) of their respective coreceptors. Thus, both p38 and SAPK/Jun N-terminal kinase mitogen-activated protein kinases (MAPKs) are activated on stimulation of these cells with either T- or M-tropic gp120, as well as with SDF-1alpha or MIP-1beta. In contrast, extracellular signal-related kinase 1 and 2 MAPKs are only activated by MIP-1beta but not by M-tropic gp120. Importantly, T- and M-tropic gp120 are able to induce the secretion of matrix metalloproteinase 9 (MMP-9), an extracellular metalloproteinase present in cerebrospinal fluid of patients with HIV-1 by T cells or glioma cells. Specific inhibition of MAPK p38 activation resulted in a complete abrogation of the induction of the MMP-9 pathogenic factor expression by gp120 or chemokines in both cell types. Because neurodegenerative features in acquired immune deficiency syndrome dementia may involve demyelinization by MMP-9, the specific targeting of p38 could provide a novel means to control HIV-induced cytopathogenic effects and cell homing to viral replication sites. (Blood. 2001;98:541-547)
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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) | 0.002 | 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".