Evidence map›Paper›PMID 32325894›Full record

ArticleInternational journal of molecular sciences2020

Mechanisms of Action of Autophagy Modulators Dissected by Quantitative Systems Pharmacology Analysis.

Qingya Shi, Fen Pei, Gary A Silverman, Stephen C Pak, David H Perlmutter, Bing Liu, Ivet Bahar

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 9% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

  1. Pooled it
  2. Review
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  7. Article
  8. Autophagy and machine learning: Unanswered questions.Biochimica et biophysica acta. Molecular basis of disease · 2024
    Review
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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

7 authors at 2 institutions in 2 countries.

Qingya ShiDepartment of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA.
Fen PeiDepartment of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA.
Gary A SilvermanDepartment of Pediatrics, School of Medicine, Washington University in St. Louis, St. Louis, MO 63130, USA.
Stephen C PakDepartment of Pediatrics, School of Medicine, Washington University in St. Louis, St. Louis, MO 63130, USA.
David H PerlmutterDepartment of Pediatrics, School of Medicine, Washington University in St. Louis, St. Louis, MO 63130, USA.
Bing LiuDepartment of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA.ORCID 0000-0002-7257-2441
Ivet BaharDepartment of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA.
University of Pittsburgh · USWashington University in St. Louis · US

Funding

Treating AT Deficiency with Drugs that Modulate the Proteostasis NetworkP01DK096990 · NIDDK · WASHINGTON UNIVERSITY · PI PERLMUTTER, DAVID H · 2012 to 2023
$18.3M
TrainingP41GM103712 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BAHAR, IVET · 2012 to 2021
$16.3M
NIDA Center of Excellence OF Computational Drug Abuse Research (CDAR)P30DA035778 · NIDA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BAHAR, IVET, XIE, XIANG-QUN · 2014 to 2018
$5.4M
Genetic Modifiers Affecting Cellular Injury in Alpha-1-Antitrypsin DeficiencyR01DK104946 · NIDDK · WASHINGTON UNIVERSITY · PI SILVERMAN, GARY ARTHUR · 2016 to 2019
$1.4M
NIDA NIH HHS P30 DA035778NIDDK NIH HHS P01 DK096990NIDDK NIH HHS R01 DK104946NIGMS NIH HHS P41 GM103712NIH HHS P01DK096990, P30DA035778, and P41GM103712
6 · The paper itself

Abstract

Autophagy plays an essential role in cell survival/death and functioning. Modulation of autophagy has been recognized as a promising therapeutic strategy against diseases/disorders associated with uncontrolled growth or accumulation of biomolecular aggregates, organelles, or cells including those caused by cancer, aging, neurodegeneration, and liver diseases such as α1-antitrypsin deficiency. Numerous pharmacological agents that enhance or suppress autophagy have been discovered. However, their molecular mechanisms of action are far from clear. Here, we collected a set of 225 autophagy modulators and carried out a comprehensive quantitative systems pharmacology (QSP) analysis of their targets using both existing databases and predictions made by our machine learning algorithm. Autophagy modulators include several highly promiscuous drugs (e.g., artenimol and olanzapine acting as activators, fostamatinib as an inhibitor, or melatonin as a dual-modulator) as well as selected drugs that uniquely target specific proteins (~30% of modulators). They are mediated by three layers of regulation: (i) pathways involving core autophagy-related (ATG) proteins such as mTOR, AKT, and AMPK; (ii) upstream signaling events that regulate the activity of ATG pathways such as calcium-, cAMP-, and MAPK-signaling pathways; and (iii) transcription factors regulating the expression of ATG proteins such as TFEB, TFE3, HIF-1, FoxO, and NF-κB. Our results suggest that PKA serves as a linker, bridging various signal transduction events and autophagy. These new insights contribute to a better assessment of the mechanism of action of autophagy modulators as well as their side effects, development of novel polypharmacological strategies, and identification of drug repurposing opportunities.

Indexed as

AutophagyBiomarkersBrainComputational BiologyCyclic AMP-Dependent Protein KinasesDrug DiscoveryGene Expression RegulationHumansLiverPharmacologyPhosphatidylinositol 3-KinasesSignal TransductionStructure-Activity RelationshipTOR Serine-Threonine KinasesBiomarkersCyclic AMP-Dependent Protein KinasesMTOR protein, humanPhosphatidylinositol 3-KinasesTOR Serine-Threonine Kinasesautophagydrug-target interactionsmachine learningmechanism of actionmTORPI3KPKAquantitative systems pharmacologysignal transduction

Identifiers

PMID32325894
PMCPMC7215584
OpenAlexW3016390892

What Socratic 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 Socratic graph.