Leveraging amino acid sensors as therapeutic targets for tauopathies and related dementias
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".