Neuropathology of NFHgp160 Transgenic Mice Expressing HIV-1 Env protein in Neurons
Bibliographic record
Abstract
The physiopathology of HIV-1 dementia remains largely hypothetical. Although several sets of evidence point towards an indirect multicellular inflammatory pathway, gp120, one of the HIV-1 env products, was shown to be very cytotoxic for neurons in vitro. To explore a direct pathway in the physiopathology of dementia in AIDS, we developed transgenic mouse models carrying the HIV-1 env proteins gp 120 and gp 41 (gp 160) under the control of the human light neurofilament and murine heavy neurofilament promoters. To date, this is the first mouse model in which the HIV-1 env protein can be detected in neurons by immunohistochemistry. The expression is found in several brainstem and spinal cord gray structures and in the cerebellum in one of the mouse lines bearing the NFHgp160 transgene. The morphological findings at 3 months are subtle and are dominated by a watery, dendritic degeneration and a reactive gliosis. At 12 months, the evidence of neuronal degeneration and loss is present along with various degenerative phenomena involving synapses, dendrites and axons, including axonal swellings. Cytoskeletal abnormalities were found by immunohistochemistry. Chronic inflammation was also observed in the leptomeninges of the spinal cord and brainstem and in the cerebellar white matter. These models thus offer an exciting sequence of morphological findings initiated by the neuronal expression of the HIV-1 env proteins and offer a different tool to explore the neuronal dysfunction in AIDS.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".