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Record W2093990732 · doi:10.1016/j.pain.2009.06.014

Prefrontal cortex and spinal cord mediated anti-neuropathy and analgesia induced by sarcosine, a glycine-T1 transporter inhibitor

2009· article· en· W2093990732 on OpenAlexaff
Maria Virginia Centeno, Amelia Mutso, Magali Millecamps, A. Vania Apkarian

Bibliographic record

VenuePain · 2009
Typearticle
Languageen
FieldMedicine
TopicPain Mechanisms and Treatments
Canadian institutionsMcGill University
FundersNational Institute of Neurological Disorders and Stroke
KeywordsSarcosineNeuropathic painMedicineAnesthesiaAnalgesicGlycine receptorPharmacologyPrefrontal cortexSNiSpinal cordNeuroscienceGlycineChemistryPsychology

Abstract

fetched live from OpenAlex

Sarcosine is a competitive inhibitor of glycine type 1 transporter. We hypothesized that it may have analgesic and anti-neuropathic efficacy by a dual action: affecting neurotransmission in the prefrontal cortex as well as within the spinal cord. In rats with spared nerve injury (SNI) oral sarcosine reduced mechanical sensitivity for the injured limb (anti-neuropathy or anti-allodynia) as well as for the uninjured limb (analgesia), showing better dose efficacy for the injured limb. Intrathecal administration of sarcosine was more effective in reducing mechanical sensitivity for the uninjured paw. In contrast, prefrontal cortex infusions of sarcosine acutely reduced mechanical sensitivity for the injured paw. Repeated daily oral sarcosine induced anti-neuropathy, observed only after days of repeated treatment; this long-term effect disappeared a few days after treatment cessation. The findings indicate that manipulating glycine-T1 transporter at multiple central sites can induce acute analgesia, as well as acute and long-term reduction in neuropathic pain behavior. Analgesic effects seem primarily mediated through spinal cord circuitry while anti-neuropathic effects seem mediated through prefrontal cortex circuitry, most likely through distinct molecular pathways. The results suggest that such an approach may provide a novel venue for treating clinical pain conditions.

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.

How this classification was reachedexpand

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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.947
Threshold uncertainty score0.757

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.011
GPT teacher head0.253
Teacher spread0.242 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations29
Published2009
Admission routes1
Has abstractyes

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