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Record W4210253522 · doi:10.1002/alz.057516

Melatonin mediates the reversibility of brain hyperphosphorylated tau protein induced by synthetic torpor in rats

2021· article· en· W4210253522 on OpenAlexaff
Marco Luppi, Timna Hitrec, Matteo Cerri, Alessandra Occhinegro, Emiliana Piscitiello, Fabio Squarcio, Mahshad Moshari, Maral Aminpour, Jack A. Tuszyński, Marco Cavaglià, Roberto Amici

Bibliographic record

VenueArchivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna) · 2021
Typearticle
Languageen
FieldMedicine
TopicAdvanced Neuroimaging Techniques and Applications
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMelatoninTorporHypothermiaTau proteinNeuroprotectionMicrotubuleHippocampal formationInternal medicineHyperphosphorylationHibernation (computing)ChemistryEndocrinologyNeuroscienceBiologyCell biologyMedicineKinaseAlzheimer's diseaseThermoregulation

Abstract

fetched live from OpenAlex

BACKGROUND: The hyperphosphorylation of tau protein (PPtau) in the brain is the main pathophysiological marker of tauopathies. Recently was found that when induced by a "synthetic torpor" (ST)1 condition (induced on rats), PPtau accumulations is reversible, as observed in hibernators2 . Thus, ST uncover a latent physiological mechanism able to cope with PPtau and not specifically evolved with hibernation. Aim of the present work was to describe it. METHODS: We induced ST as already reported2 on 12 Sprague-Dawley rats. Hippocampal and plasma samples were collected at the following experimental conditions: nadir of hypothermia (N); early recovery (ER), as soon as animals reached normothermia following N; 6h following ER (R6). Control (C) animals were also included. Levels of AT8 (p[S020/T205]-tau), p[S9]-GSK3β (inhibited form of the main kinase targeting tau) and plasma melatonin were determined. To better understand in vivo experimental results, we performed in silico simulations of melatonin-tubulin interactions3 . RESULTS: Figure 1 shows, at N, a huge amount of AT8 and high levels of p[S9]-GSK3β and melatonin in respect to C. All factors returned to normal at R6. These paradoxical results (i.e. the coexistence of high levels of PPtau and p[S9]-GSK3β) could be interpreted considering the destabilization of microtubules (MTs) induced by hypothermia as the main trigger of the whole process, then eliciting a neuroprotective physiological response mediated by melatonin, also interacting with MTs. To sustain this hypothesis, we also provide computational analysis of the microtubule stability as a function of temperature and other factors, such as melatonin binding. The molecular docking simulation shows that melatonin did not bind to 1sa0 structure, but it binds to one site of 1jff structure on the α-tubulin monomer (Figure 2). This is further elucidated using a molecular fingerprint representation (Figure 3), showing the binding site of melatonin with respect to those well-known binding locations. CONCLUSIONS: Our results could pave the way for an effective new strategy to contrast tauopathies, with next-step studies aimed to pharmacologically interacting with this process at physiological temperature. References: (1) Luppi et al. Front Neuroanat 2019, 13:57; (2) Stieler et al. PLoS One 2011, 6: e14530. 3 Craddock, et al. Sci Reports 2017, 7:1.

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)0.000
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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.027
GPT teacher head0.268
Teacher spread0.241 · 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".

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Citations0
Published2021
Admission routes1
Has abstractyes

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