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Record W7111891364

PEROXISOOMDYSFUNCTIE EN AUTOFAGIE: DE KLOOF OVERBRUGGEN

2025· article· en· W7111891364 on OpenAlexfundno aff

Bibliographic record

VenueLirias · 2025
Typearticle
Languageen
FieldMedicine
TopicAutophagy in Disease and Therapy
Canadian institutionsnot available
FundersUniversity of Illinois at Urbana-ChampaignUniversity of TorontoNational Institutes of HealthUniversiteit van AmsterdamVlaamse regeringServierEuropean CommissionChina Scholarship CouncilKU LeuvenFlorida State University
KeywordsPeroxisomeAutophagyOrganelleIntracellularATG8Mitophagy
DOInot available

Abstract

fetched live from OpenAlex

Peroxisomes are ubiquitous cell organelles critical for cellular lipid and H2O2 metabolism. To maintain functionality in response to environmental changes, new organelles need to be formed, and dysregulated organelles must be selectively removed. Emerging evidence suggests that disturbances in peroxisome homeostasis affect intracellular communication and contribute to diseases such as cancer and neurodegenerative disorders. Given their role as key intermediaries in H2O2 metabolism, peroxisomes are expected to have the capacity to modulate the activity of other cellular processes, including autophagy. Conversely, disruptions in autophagy or pexophagy can lead to the accumulation of dysfunctional peroxisomes, causing metabolic imbalances. Over the past years, several pexophagy receptors or adaptors have been identified, which act cooperatively to target peroxisomes for lysosomal degradation. However, the underlying molecular mechanisms are complex and multifaceted and have only recently begun to receive the attention they deserve. This project aimed to gain deeper insights into (i) whether and how peroxisome dysfunction affects the (selective) autophagic process, (ii) how the health of the peroxisome population is maintained, and (iii) how peroxisomes are integrated into intracellular communication networks. Firstly, to investigate the direct relationship between peroxisomal H2O2 emission and pexophagy, we developed and validated a novel pexophagy living cell reporter, po-mKeima. Subsequently, we established po-DD-DAO HEK-293 and HeLa po-mKeima cell lines, allowing precise modulation of peroxisomal H2O2 production in a dose- and time-dependent manner. Our findings indicate that varying levels of po-H2O2, from low to high, cannot induce pexophagy. Moreover, excessive peroxisomal H2O2 release can oxidatively modify redox-sensitive selective autophagy receptors, such as optineurin (OPTN), and core autophagy proteins, such as ATG3, thereby blocking autophagy at late stages. Notably, by the end of the study, we discovered that endogenous OPTN, a well-documented mitophagy receptor, can localize to peroxisomes and, upon overexpression, trigger pexophagy in a cell type-dependent manner. To further explore the molecular mechanisms underlying OPTN-mediated pexophagy, we first conducted proximity labeling proteomics studies. These studies led to the identification of PEX14, a peroxisomal membrane protein, as an interacting partner of OPTN. Combined with FACS and co-immunoprecipitation analysis, we demonstrated that (i) OPTN interacts with the predicted coiled-coil domain of PEX14 through its ubiquitin-binding domain, but independently of ubiquitin, and (ii) the interaction of OPTN with PEX14 is required for its pexophagy-inducing properties. In summary, our findings indicate that PEX14 serves as a docking factor for OPTN at the peroxisomal membrane, thereby facilitating the interaction between peroxisomes and the autophagic membrane scaffold during OPTN-mediated pexophagy. Finally, we examined the changes in autophagy under conditions in which peroxisome biogenesis was defective, both in vivo and in vitro. We established that the loss of functional peroxisomes in mouse liver impairs autophagy through the mTOR/ULK1 signaling pathway. In our in vitro study, we observed an increase in mitochondrial H₂O₂ levels, accompanied by disruptions in autophagic flux in skin fibroblasts derived from a PEX10H310D/E10Gfs patient. Furthermore, by employing the autophagy stimulator Torin-1, we were able to successfully restore autophagic flux in these cells. Lastly, we demonstrated that compared to control cells, PEX10H310D/E10Gfs cells stably expressing EGFP-PTS1 exhibited distinct patterns in FACS analysis, this FACS-based approach may offer researchers with a swift, cell-based method for screening and identifying drugs to treat patients with PEX10 or other peroxin mutations. In summary, our experimental data offer novel insights into the interplay between peroxisome dysfunction and autophagy, indicating that disturbances in peroxisomal metabolism can modulate (selective) autophagy. Although the molecular triggers of pexophagy remain unclear, our identification of a novel pexophagy receptor, OPTN, and its peroxisomal partner, PEX14, marks a significant discovery. This finding paves the way for exploring peroxisome turnover in both normal physiology and human disease from new perspectives.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.280
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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 head0.003
GPT teacher head0.300
Teacher spread0.297 · 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.

Study designNot applicable
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
Published2025
Admission routes1
Has abstractyes

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