Evidence map›Paper›PMID 33927785›Full record

ReviewBiophysical reviews2021

The dependency of autophagy and ubiquitin proteasome system during skeletal muscle atrophy.

Ajay Singh, Jatin Phogat, Aarti Yadav, Rajesh Dabur

Open access · greenAbstract readReview
In one paragraph

Review in Biophysical reviews, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
5.1field-weighted citation impact, top 4% 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

32 citing papers in PubMed, 47 citations in OpenAlex.

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  12. HSAInternational journal of molecular sciences · 2025
    Article
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  17. Chaperone Proteins: The Rising Players in Muscle Atrophy.Journal of cachexia, sarcopenia and muscle · 2025
    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

4 authors at 1 institution in 1 country.

Ajay SinghClinical Biochemistry Laboratory, Department of Biochemistry, Maharshi Dayanand University, Rohtak, Haryana 124001 India.
Jatin PhogatClinical Biochemistry Laboratory, Department of Biochemistry, Maharshi Dayanand University, Rohtak, Haryana 124001 India.
Aarti YadavClinical Biochemistry Laboratory, Department of Biochemistry, Maharshi Dayanand University, Rohtak, Haryana 124001 India.
Rajesh DaburClinical Biochemistry Laboratory, Department of Biochemistry, Maharshi Dayanand University, Rohtak, Haryana 124001 India.ORCID 0000-0001-7189-5188
Maharshi Dayanand University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Among the four proteolytic systems in the cell, autophagy and the ubiquitin-proteasome system (UPS) are the main proteolytic events that allow for the removal of cell debris and proteins to maintain cellular homeostasis. Previous studies have revealed that these systems perform their functions independently of each other. However, recent studies indicate the existence of regulatory interactions between these proteolytic systems via ubiquitinated tags and a reciprocal regulation mechanism with several crosstalk points. UPS plays an important role in the elimination of short-lived/soluble misfolded proteins, whereas autophagy eliminates defective organelles and persistent insoluble protein aggregates. Both of these systems seem to act independently; however, disruption of one pathway affects the activity of the other pathway and contributes to different pathological conditions. This review summarizes the recent findings on direct and indirect dependencies of autophagy and UPS and their execution at the molecular level along with the important drug targets in skeletal muscle atrophy.

Indexed as

AutophagyMitophagyMolecular mechanismSkeletal muscle atrophyThe ubiquitin-proteasome system

Identifiers

PMID33927785
PMCPMC8046863
OpenAlexW3134403310

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.