Evidence map›Paper›PMID 30728461›Full record

ReviewCell death and differentiation2019

Therapeutic modulation of autophagy: which disease comes first?

Maria Chiara Maiuri, Guido Kroemer

Abstract readReview
In one paragraph

Review in Cell death and differentiation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 1 pooled it
–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

37 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Foods (Basel, Switzerland) · 2026
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  16. SCD1, autophagy and cancer: implications for therapy.Journal of experimental & clinical cancer research : CR · 2021
    Review
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  20. The Multifaceted Roles of MicroRNAs in Cystic Fibrosis.Diagnostics (Basel, Switzerland) · 2020
    Review
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.

Maria Chiara MaiuriEquipe 11 labellisée par la Ligue contre le Cancer, Centre de Recherche des Cordeliers, 75006, Paris, France. chiara.maiuri@crc.jussieu.fr.
Guido KroemerCell Biology and Metabolomics Platforms, Gustave Roussy Cancer Campus, 94805, Villejuif, France. Kroemer@orange.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The relentless efforts of thousands of researchers have allowed deciphering the molecular machinery that regulates and executes autophagy, thus identifying multiple molecular targets to enhance or block the process, rendering autophagy "druggable". Autophagy inhibition may be useful for preserving the life of cells that otherwise would succumb to excessive self-digestion. Moreover, autophagy blockade may reduce the fitness of cancer cells or interrupt metabolic circuitries required for their growth. Autophagy stimulation is probably useful for the prevention or treatment of aging, cancer (when stimulation of immunosurveillance is the therapeutic goal), cardiovascular disease, cystic fibrosis, infection by intracellular pathogens, obesity, and intoxication by heavy metals, just to mention a few examples. Epidemiological evidence suggests broad health-improving effects for lifestyles, micronutrients, and drugs that favor autophagy. In this review, we discuss the role of autophagy in disease pathogenesis while focusing on the question, which disease will become the first clinically approved indication for therapeutic autophagy modulation.

Indexed as

AgingAnimalsAutophagyAutophagy-Related ProteinsCardiovascular DiseasesCystic FibrosisHepatolenticular DegenerationHumansNeoplasmsNeurodegenerative DiseasesObesityAutophagy-Related Proteins

Identifiers

PMID30728461
PMCPMC6460393

What OpenQuestion holds

Textmetadata
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.