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Record W4415591451 · doi:10.1038/s41419-025-08103-z

Impairment of lysosomal quality control in Huntington disease

2025· article· en· W4415591451 on OpenAlexfundno aff
P. Rusmini, Francesco Mina, Marta Valenza, Veronica Ferrari, B. Tedesco, Elena Casarotto, Marta Cozzi, Marta Chierichetti, Ali Eldib Ali Mohamed, Paola Pramaggiore, Laura Cornaggia, Carmelo Milioto, Mária Brodňanová, Rocio Magdalena, Prashant Koshal, Margherita Piccolella, Riccardo Cristofani, M. Galbiati, V. Crippa, Angelo Poletti

Bibliographic record

VenueCell Death and Disease · 2025
Typearticle
Languageen
FieldNeuroscience
TopicGenetic Neurodegenerative Diseases
Canadian institutionsnot available
FundersInstitute of GeneticsAFM-TéléthonUniversità degli Studi di TrentoMinistero dell’Istruzione, dell’Università e della RicercaU.S. Department of Health and Human ServicesFondazione CariploFondazione TelethonUniversità degli Studi di MilanoNational Institute of Arthritis and Musculoskeletal and Skin DiseasesKennedy's Disease Association
KeywordsTFEBLysosomeHuntingtinTFE3ProteotoxicityTranscription factorGene knockdownGene silencing

Abstract

fetched live from OpenAlex

Huntington disease (HD) is a neurodegenerative disease caused by a polyglutamine expansion (polyQ) in the Huntingtin protein (muHTT), which makes it prone to misfolding and aggregation. muHTT aggregates sequester a wide variety of proteins essential for cell homeostasis, including chaperones and transcription factors, and their depletion may contribute to HD pathogenesis. Lysosomes are the main hubs for degradative and signaling activities in cells, and their functionality is crucial for cell homeostasis, especially for neurons. Different forms of cellular stresses, including proteotoxic stresses, can alter lysosome integrity and induce lysosomal membrane permeabilization (LMP). Damaged lysosomes are recognized by galectins, in particular galectin-3 (LGALS3) with activation of the lysosome quality control (LQC) system responsible for repairing, degrading, or replacing leaky lysosomes. The system is transcriptionally regulated by the transcription factors EB and E3 (TFEB and TFE3, respectively). Using HD mouse and cell models, we demonstrated that TFEB and TFE3 are sequestered in muHTT aggregates, and muHTT proteins associates with LMP triggering the translocation of LGALS3 to the lumen of lysosomes, with a close relation between polyQ size and severity of these events. Moreover, we demonstrated that TFEB and TFE3 silencing or overexpression modulate muHTT aggregation. TFEB and TFE3 knockdown worsens muHTT aggregation, while their overexpression reduces muHTT inclusions and concurrently reduces LGALS3 accumulation via lysophagy and lysosome replacement. Our findings suggest that both TFEB and TFE3 are implicated in HD, and their sequestration in muHTT inclusions increase the vulnerability of neurons to lysosome injury, altering LQC and contributing to disease pathogenesis. In physiologial conditions, lysosome membrane permeabilization occurs and activates TFEB and TFE3 triggering a response to induce lysophagy and lysosome biogenesis. In HD, muHTT sequesters TFEB and TFE3 into inclusions and the reduced TFEB/TFE3 bioavailability prevents the activation of lysophagy and leading to the accumulation of damaged lysosomes. Created in BioRender.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.632

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0000.000

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 head0.017
GPT teacher head0.280
Teacher spread0.263 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations4
Published2025
Admission routes1
Has abstractyes

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