Evidence map›Paper›PMID 42377778›Full record

ReviewMolecular biology reports2026

Ubiquitin Ligases in pro-atrophic and antiatrophic signaling cascades in muscles.

Ajay Singh, Vishavjeet Rathee

Abstract readReview
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In one paragraph

Review in Molecular biology reports, 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

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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.

Ajay SinghICAR-National Bureau of Animal Genetic Resources, Karnal, India.
Vishavjeet RatheeDepartment of Life Sciences, School of Biosciences and Technology, Galgotias University, Greater Noida, Uttar Pradesh, India. vishurathee02@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Skeletal muscle (SkM) atrophy is an associated disorder of cachexia, sarcopenia, immobilization, and denervation and is responsible for increased mortality and morbidity. SkM atrophy is often characterized by increased protein degradation and decreased protein synthesis in skeletal muscle. Increased protein catabolism is firmly associated with protein ubiquitination, an associated post-transcriptional modification of proteins that mediate diverse cellular functions like cell growth, cell death, DNA damage repair, and protein degradation. During the SkM atrophy, the extents of ubiquitination decide the degradative pathway of proteins as well as organelles. The ubiquitination process is regulated by three enzymes, ubiquitin-activating enzyme (E1), ubiquitin-conjugating enzyme (E2), and an E3 ubiquitin ligase (E3) to mediate the transfer of ubiquitin to the Lys residue of the targeted protein. More than 600 E3 ligases (Reviewed Uniprot Database) known to date are tissue-specific, organ-specific, and ubiquitous. Hence, E3 ligases may be selective drug targets due to their involvement in the regulation of stabilities and functions of proteins. Muscle atrophy F-box protein (MAFbx)/atrogin-1, and E3 ubiquitin-protein ligase TRIM63 (MuRF-1) are highly explored muscle-specific E3 ligases. However, the inhibition of MAFbx and MuRF-1 cannot stop the muscle atrophy completely. Hence, the involvement of other highly expressed E3 ubiquitin-protein ligases in SkM i.e., TRIM7, UBE2O, MIB2, and CHIP are also important factors in SkM atrophy. Hence, this review aimed to highlight the interplay and importance of E3 ligases in SkM atrophy.

Indexed as

Muscle, SkeletalMuscular AtrophyUbiquitin-Protein LigasesAnimalsHumansMuscle ProteinsProteolysisSignal TransductionSKP Cullin F-Box Protein LigasesTripartite Motif ProteinsUbiquitinationMuscle ProteinsSKP Cullin F-Box Protein LigasesTripartite Motif ProteinsUbiquitin-Protein Ligasesand PHD-fingerDrug targetsE3 ligasesHECTMuscle atrophyRING-fingerU-box

Identifiers

PMID42377778

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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.