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Record W2766584842 · doi:10.1016/j.jalz.2017.06.1895

[P4–031]: ALZHEIMER'S DISEASE AS A DISORDER OF TRYPTOPHAN METABOLISM

2017· article· en· W2766584842 on OpenAlexaff
Donald F. Weaver, Autumn Meek, Christopher Barden, Mark Reed, Marcia L. Taylor, Yanfei Wang, Michael G. Brant, Paul M. Stafford, Brendan D. Kelly, Elena Cecilia Diez

Bibliographic record

VenueAlzheimer s & Dementia · 2017
Typearticle
Languageen
FieldNeuroscience
TopicTryptophan and brain disorders
Canadian institutionsTreventis (Canada)Krembil Foundation
Fundersnot available
KeywordsEnzymeChemistryIndole testBiochemistryComputational biologyBiology

Abstract

fetched live from OpenAlex

Novel druggable targets are needed in the search for new chemical entities as putative therapeutics for Alzheimer's disease (AD) and related protein misfolding disorders. Increasingly, the role of the immune system in the pathogenesis of AD is being appreciated. Indoleamine-2,3-dioxygenase (IDO) is an enzyme involved in the metabolism of tryptophan, and which influences the balance of pro-inflammatory and anti-inflammatory cytokines with the central nervous system. This project targets IDO-1 as a possible target for the design of desease modifying drugs for AD. Specifically, it targets synthetic analogues of tryptophan as potential competitive inhibitors of IDO. Commencing with the known crystal structure of IDO-1, extensive molecular modelling calculations, using GROMACS and MOE software, were performed to provide three-dimensional representations of the interactions of tryptophan and some of its indoleamine metabolites with the enzyme's active site. Specifically, empirical force field and molecular mechanics/quantum mechanics hybrid calculations were employed. Based upon these calculations, a family of novel stilbene-derivatized indoles was devised. They were prepared using a variety of synthetic strategies but the Negishi-Stille and Knoevenagel-Doebner reactions offered the greatest synthetic flexibility and utility. Using these synthetic strategies, a focussed library of 72 compounds was prepared. All compounds were evaluated for inhibition of IDO-1 in human recombinant enzyme, transfected HEK293 cells and interferon-γ stimulated human microglia. Finally, a representative compound was evaluated in the APP/PS1 transgenic mouse model using both behavioural and histopathological markers. Multiple 3-substituted stilbene derivatives of indole demonstrated low micromolar activity as competitive inhibitors of the IDO-1 enzyme. No nanomolar inhibitors were obtained from this analogue series. A representative bi-aromatic analogue from this class, at doses of 25 mg/kg/od from ages 2–6 months of age, demonstrated improved behavioural measures in both the Morris Water Maze and Radial Arm Water Maze tests. This compound class is worthy of continued development as a druggable molecular platform. The tryptophan metabolic pathway is a novel druggable target for the design and synthesis of new chemical entities, targetting the IDO-1 enzyme, as possible disease modifying agents for AD.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.038
Threshold uncertainty score0.126

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0380.014

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 head0.036
GPT teacher head0.295
Teacher spread0.259 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations1
Published2017
Admission routes1
Has abstractyes

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