Purine nucleosides protect injured neurons and stimulate neuronal regeneration by intracellular and membrane receptor‐mediated mechanisms
Bibliographic record
Abstract
Abstract Like adenine‐based purines, extracellular nonadenine‐based purines have a multitude of trophic effects on the growth, differentiation, and survival of target cells. The nonadenine‐based purines, which include guanosine, inosine, and GTP, apparently exert their trophic effects by interacting with both intercellular targets as well as those on the cell surface. Specifically, guanosine and inosine target the protein kinase N‐kinase, in promoting remarkable nerve process extension, even in long tracts of the central nervous system after injury. In contrast, GTP may exert its effects via a cell surface receptor coupled to the release of calcium from internal stores. In other cases trophic effects may be mediated by the enhancement of release of adenine‐based purines by guanosine. Additionally, evidence is presented for the existence of a high‐affinity binding site for guanosine with receptor‐like characteristics on the plasma membranes of astrocytes and brain tissue. This site may be G‐protein‐coupled and exert its effects through activation of the MAP kinase cascade. One effect apparently mediated through this mechanism is the production and release by astrocytes of trophic protein growth factors such as NGF and TGFβ. These have substantial neuroprotective effects. Additionally, this pathway is apparently involved in modulating the expression of P2Y1 and P2Y2 receptors in response to extracellular guanosine. Extracellular nonadenine‐based purines can interact with other growth factors, but these interactions are not always synergistic. For example, combinations of guanosine and FGF are antagonistic and reduce the growth of microvascular cells in vitro. Some of the properties of the nonadenine‐based purines likely derive from their unique intracellular metabolism in which conversion of guanine to xanthine is the final catabolic step. This step is catalyzed by guanase, the activity of which varies markedly in different brain regions, raising the possibility that guanine or guanosine are involved in neurotransmission. Together these data suggest several potentially useful pharmacological approaches involving nonadenine‐based purines to modulate trophic effects in the central nervous system. Drug Dev. Res. 52:303–315, 2001. © 2001 Wiley‐Liss, Inc.
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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 | 0.000 | 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) | 0.004 | 0.001 |
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".