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Record W3110913634 · doi:10.1002/alz.043859

Leveraging amino acid sensors as therapeutic targets for tauopathies and related dementias

2020· article· en· W3110913634 on OpenAlexaff
Daniel C. Lee, Chao Ma, Dave Morgan, Huimin Liang, Andrii Kovalenko, Leslie A. Sandusky‐Beltran, John Calahatian, Mani Kallupurackal, Jerry B. Hunt, Shalini Pandey, Danielle M. Blazier, Paula C. Bickford, Camilla Michalski, Margaret Fahnestock, Daniel Sejer Pedersen, Hans Bräuner‐Osborne, Trond Ulven, Maj‐Linda B. Selenica

Bibliographic record

VenueAlzheimer s & Dementia · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicReceptor Mechanisms and Signaling
Canadian institutionsMcMaster University
Fundersnot available
KeywordsmTORC1TauopathyArginineBiologyCell biologyKnockout mouseExtracellularNeurodegenerationNeuroscienceReceptorBiochemistrySignal transductionAmino acidInternal medicineDiseaseMedicinePI3K/AKT/mTOR pathway

Abstract

fetched live from OpenAlex

Abstract Background Tauopathies including Alzheimer’s disease (AD) comprise of over 27 neurodegenerative diseases. Our group has uncovered a unique interaction between uncoupling of amino acid sensors and tauopathies. L‐Arginine metabolism impacts multiple processes that seemingly show considerable influence upon tau biology. Several protein sensors have been identified that sense arginine within the lysosomal lumen, cytoplasm and signal to the mechanistic target of rapamycin complex 1 (mTORC1). GPRC6a, g‐protein coupled receptor also senses arginine levels but also signals to mTORC1. We posit that GPRC6a remains tonically active through extracellular arginine. GPRC6a signaling increases during tauopathies and thereby promotes hyper‐mTORC1 activation and impairs autophagy flux. Method We performed PCR‐array analysis, biochemical analysis for gene transcripts and protein expression for Alzheimer’s disease brain tissue and aged matched controls. We performed a series of mechanistic studies on GPRC6a and tau biology using siRNA, shRNA, drug pharmacology in cell culture models and (PS19 tau mice) or wild‐type littermates. RNA seq was performed on GPRC6a knockout mice crossed with PS19 mice. Result Our work indicates dysregulation of gene transcripts for arginine sensors, components of mTORC1 signaling in Alzheimer’s disease (AD) brains and mice with tauopathy. AD brains and tau PS19 mice showed increased GPRC6a, CASTOR1 and SLC38A9 signifying dysfunction in arginine sensing. Tau PS19 mice showed increased total and extracellular arginine in the brain, which further increased with neuronal activity. GPRC6a gene repression or novel allosteric antagonists decreased mTORC1 activation and reduced tau burden. Conversely, GPRC6a overexpression increased mTORC1 and tau accumulation. Knockout mice for GPRC6a crossed with PS19 tau transgenic mice reversed tau‐induced mRNA signatures in the brain via RNA seq. Microglia and neurometabolism were most affected in GPRC6a knockout mice signifying a critical role for arginine sensors in microglia during tau deposition. Importantly, novel allosteric antagonists to GPRC6a increased microglia phagocytosis and index. Conclusion Our work identifies a new pathway activated in AD and models of tauopathy yet provides the discovery of a new class of agents that govern microglia function, autophagy and neurometabolism. These data provide new therapeutic strategies for proteinopathies that exploit nutrient sensing dysfunction in 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)0.000
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 score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.024
GPT teacher head0.248
Teacher spread0.225 · 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

Citations1
Published2020
Admission routes1
Has abstractyes

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