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Record W2052229131 · doi:10.1002/ddr.1128

Purine nucleosides protect injured neurons and stimulate neuronal regeneration by intracellular and membrane receptor‐mediated mechanisms

2001· article· en· W2052229131 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueDrug Development Research · 2001
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAdenosine and Purinergic Signaling
Canadian institutionsMcMaster University
Fundersnot available
KeywordsGuanosineExtracellularBiologyCell biologyBiochemistryInosineProtein kinase AKinaseAdenosineChemistry

Abstract

fetched live from OpenAlex

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 P2Y 1 and P2Y 2 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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.093
Threshold uncertainty score0.678

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.020
GPT teacher head0.273
Teacher spread0.254 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it