Evidence map›Paper›PMID 42576802›Full record

ArticleTraffic (Copenhagen, Denmark)2026

Mechanism of Autophagic Extracellular Vesicles Revealed.

Constantinos Demetriades, Thierry Galli

Abstract read
In one paragraph

Article in Traffic (Copenhagen, Denmark), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Constantinos DemetriadesMax Planck Institute for Biology of Ageing (MPI-AGE), Cologne, Germany.ORCID https://orcid.org/0000-0001-7813-7726
Thierry GalliUniversité Paris Cité, Institute of Psychiatry and Neuroscience of Paris (IPNP), INSERM U1266, Membrane Traffic in Healthy & Diseased Brain, Paris, France.ORCID https://orcid.org/0000-0001-8514-7455

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent work by Mao and colleagues identifies a distinct class of small extracellular vesicles, termed autophagic extracellular vesicles (AEVs), generated from amphisomes upon autophagy induction. In this commentary, we discuss how this study provides important mechanistic insight into the coupling between autophagy and secretion. AEVs are molecularly and functionally distinct from canonical exosomes, being enriched in autophagy-related components such as LC3 and p62, and dependent on core ATG machinery for their biogenesis. Notably, their secretion is enhanced by autophagy induction and contributes to intercellular communication, particularly in the context of viral infection. These findings position amphisomes as critical sorting hubs that direct cargo toward either degradation or secretion, thereby integrating autophagic and endolysosomal pathways. We further highlight how these results intersect with prior evidence implicating SNARE-dependent mechanisms, including VAMP7 and stress-responsive regulators such as GRASP55, in unconventional secretion. Finally, we discuss key unresolved questions, particularly the mechanisms underlying the generation of small intraluminal vesicles within amphisomes and the role of ESCRT machinery in this process. Overall, the identification of AEVs adds a new layer of complexity to extracellular vesicle biology and opens new avenues for understanding how autophagy contributes to intercellular signaling in health and disease.

Indexed as

AutophagyExtracellular VesiclesAnimalsEndosomal Sorting Complexes Required for TransportExosomesHumansR-SNARE ProteinsEndosomal Sorting Complexes Required for TransportR-SNARE Proteins

Identifiers

PMID42576802
PMCPMC13458628

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.