Evidence map›Paper›PMID 35098310›Full record

ArticleDisease models & mechanisms2022

Autophagy takes it all - autophagy inducers target immune aging.

Heidi Zinecker, Anna Katharina Simon

Open access · goldAbstract read
In one paragraph

Article in Disease models & mechanisms, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.6field-weighted citation impact, top 10% of its field
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

18 citing papers in PubMed, 18 citations in OpenAlex.

  1. The long-lived immune system of centenarians.Nature reviews. Immunology · 2026
    Review
  2. Review
  3. Article
  4. Review
  5. Rejuvenating the immune system.Molecular oncology · 2025
    Article
  6. Review
  7. Review
  8. Article
  9. Review
  10. Review
  11. Article
  12. Proteostasis in T cell aging.Seminars in immunology · 2023
    Review
  13. Review
  14. Article
  15. Review
  16. Review
  17. Article
  18. Impactful in disease research: a DMM year in review.Disease models & mechanisms · 2023
    Article
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 at 2 institutions in 2 countries.

Heidi ZineckerTurkish-German University, Department of Molecular Biotechnology, 34820, Beykoz/Istanbul, Turkey.ORCID 0000-0002-0257-4273
Anna Katharina SimonNDORMS, The Kennedy Institute of Rheumatology, University of Oxford, Oxford OX3 7FY, UK.ORCID 0000-0002-4077-7995
Türkisch-Deutsche Universität · TRUniversity of Oxford · GB

Funding

Wellcome Trust
6 · The paper itself

Abstract

Autophagy, as the key nutrient recycling pathway, enables eukaryotic cells to adapt to surging cellular stress during aging and, thereby, delays age-associated deterioration. Autophagic flux declines with age and, in turn, decreases in autophagy contribute to the aging process itself and promote senescence. Here, we outline how autophagy regulates immune aging and discuss autophagy-inducing interventions that target senescent immune cells, which are major drivers of systemic aging. We examine how cutting-edge technologies, such as single-cell omics methods hold the promise to capture the complexity of molecular and cellular phenotypes associated with aging, driving the development of suitable putative biomarkers and clinical bioassays. Finally, we debate the urgency to initiate large-scale human clinical trials. We give special preference to small molecule probes and to dietary interventions that can extend healthy lifespan and are affordable for most of the world's population.

Indexed as

AutophagyLongevityCellular SenescenceAgingAutophagyAutophagy inducerImmune system

Identifiers

PMID35098310
PMCPMC8822217
OpenAlexW4210790156

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.