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Record W4289305636

Tetrahydrobiopterin as a potential treatment for Alzheimer's disease: A study in 3xTg-AD mice

2018· preprint· en· W4289305636 on OpenAlexaff
Frédéric Calon, Marine Tournissac, A. Lô, Philippe Bourassa, Vincent Émond, Fathi Moussa, Sylvie Vancassel, Hortense Fanet

Bibliographic record

VenueHAL (Le Centre pour la Communication Scientifique Directe) · 2018
Typepreprint
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMetabolism and Genetic Disorders
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsTetrahydrobiopterinNeuroscienceDiseaseMedicineInternal medicineBiologyNitric oxideNitric oxide synthase
DOInot available

Abstract

fetched live from OpenAlex

Alzheimer’s disease (AD) is a multifactorial disease, thus multi-target treatments are needed. Tetrahydrobiopterin (BH4) has been shown to be decreased in elderly and in AD patients. BH4 is an enzymatic cofactor required for the synthesis of serotonin (5-HT), dopamine (DA) and nitric oxide. It also exerts strong antioxidant and anti-inflammatory effects. Thus, BH4 administration could ameliorate monoaminergic neurotransmission but also other key physiological processes such as vascularization, metabolism, inflammatory and oxidative status. Surprisingly, despite its crucial role in the CNS, the potential of BH4 as a treatment in AD has never been investigated. Thus, we hypothesized that BH4 administration can ameliorate both cognitive symptoms and AD neuropathology. Non-transgenic (NonTg) and 3xTg-AD mice, which display age-related behavior impairment, tau and Aβ neuropathologies, were subject to a high-fat diet (35% fat - HFD) or control diet (5% fat - CD) from 6 to 13 months in order to exacerbate inflammatory and metabolic disturbances. Then, mice were injected intraperitoneally with BH4 (15mg/kg) or control solution during ten days. To verify whether BH4 is a suitable therapeutic for the CNS, we first demonstrated that peripheral administration of BH4 (50mg/kg) was sufficient to double BH4 brain content within 3h. Using in-situ brain perfusion, we found that the brain uptake clearance (Clup) of BH4 was approximately 0.08μl/g/sec, consistent with a modest transfer across the BBB. For the first time, we report that ten days of chronic administration of BH4 induced a total rescue of memory impairment in 13-month-old 3xTg-AD mice as determined with the novel object recognition test. Interestingly, this improvement was observed even over a HFD background. Moreover, glucose intolerance induced by HFD in 3xTg-AD mice was completely reversed by BH4 treatment while no difference on diet consumption, mice weight and voluntary locomotion in open-field were observed. BH4 treatment had no effect on total or phosphorylated tau assessed in soluble and insoluble fractions extracted from the hippocampus. As BH4 is involved in monoamine synthesis, we also measured striatal DA and 5-HT content without detecting any significant changes. Amyloid pathology and pro-inflammatory cytokines measurements are currently ongoing. Overall, our data show that BH4 supplementation leads to a rescue in object recognition memory and metabolic impairments in the 3xTg-AD mouse model, without altering tau neuropathology.

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)0.001
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0010.001

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.

Opus teacher head0.015
GPT teacher head0.264
Teacher spread0.250 · 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 designBench or experimental
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

Citations0
Published2018
Admission routes1
Has abstractyes

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