Evidence map›Paper›PMID 41870234›Full record

ReviewThe FEBS journal2026

Degradomics for large-scale mechanistic insights on proteases and proteolysis in human health.

Daniel R Martin, Sumit Bhutada, Suneel S Apte

Abstract readReview
In one paragraph

Review in The FEBS journal, 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

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

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

3 authors.

Daniel R MartinDepartment of Biomedical Engineering, Cleveland Clinic Research, Cleveland Clinic, Cleveland, OH, USA.
Sumit BhutadaDepartment of Biomedical Engineering, Cleveland Clinic Research, Cleveland Clinic, Cleveland, OH, USA.
Suneel S ApteDepartment of Biomedical Engineering, Cleveland Clinic Research, Cleveland Clinic, Cleveland, OH, USA.ORCID https://orcid.org/0000-0001-8441-1226

Funding

Degradomics of proteolytic mechanisms in post-traumatic osteoarthritisR01AR085047 · NIAMS · CLEVELAND CLINIC LERNER COM-CWRU · PI SUNEEL S APTE · 2025 to 2026
$848k
NIAMS NIH HHS AR085047NIAMS NIH HHS R01 AR085047The Marfan Foundation
6 · The paper itself

Abstract

Tissue breakdown, especially extracellular matrix or secretome breakdown is a significant aspect of physiological remodeling and disease processes in solid organs, with profound structural and regulatory impact. Tissue and circulating proteins undergo breakdown through a chemical process mediated by proteases, that is, hydrolysis of peptide bonds. Proteolysis has immense biological impact because it is irreversible, results in protein inactivation or activation, and can generate fragments with new functions to expand the functional genome. The traditional focus on a few proteases of interest against candidate substrates provided limited insights into the proteolytic landscape of human diseases. In contrast, innovations in protein terminomics workflows, tandem mass spectrometry and data handling now routinely permit identification of proteolytic events and proteases on the proteome scale, the degradome. The unbiased, de novo elucidation of disease degradomes, termed forward degradomics, has increased the number of known in vivo proteolytic events, despite only limited application to human disease to date. In reverse degradomics, activities of proteases are elucidated individually, but also at the proteome scale by digesting protein libraries sourced from tissues and cell secretomes, or by comparing the degradomes of protease-deficient/overexpressing and parental cells. Integration of forward and reverse degradomes precisely defines protease primary mechanisms in disease. Cross-disease degradome analysis can define disease-relevant, protease-specific biomarkers, identify proteases as appropriate therapeutic targets, and predict cross-organ impact of protease inhibitors. A systematic effort to map disease degradomes, that is, a prospective human degradome project would generate a comprehensive proteolysis knowledgebase for diagnostics and therapeutics.

Indexed as

Peptide HydrolasesProteolysisProteomeProteomicsHumansPeptide HydrolasesProteomemass spectrometryproteaseproteolysisproteomicsterminomics

Identifiers

PMID41870234
PMCPMC13271077

What OpenQuestion holds

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Registered trials

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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.