Relationships between predicted moonlighting proteins, human diseases, and comorbidities from a network perspective.

Abstract:

:Moonlighting proteins are a subset of multifunctional proteins characterized by their multiple, independent, and unrelated biological functions. We recently set up a large-scale identification of moonlighting proteins using a protein-protein interaction (PPI) network approach. We established that 3% of the current human interactome is composed of predicted moonlighting proteins. We found that disease-related genes are over-represented among those candidates. Here, by comparing moonlighting candidates to non-candidates as groups, we further show that (i) they are significantly involved in more than one disease, (ii) they contribute to complex rather than monogenic diseases, (iii) the diseases in which they are involved are phenotypically different according to their annotations, finally, (iv) they are enriched for diseases pairs showing statistically significant comorbidity patterns based on Medicare records. Altogether, our results suggest that some observed comorbidities between phenotypically different diseases could be due to a shared protein involved in unrelated biological processes.

journal_name

Front Physiol

journal_title

Frontiers in physiology

authors

Zanzoni A,Chapple CE,Brun C

doi

10.3389/fphys.2015.00171

subject

Has Abstract

pub_date

2015-06-23 00:00:00

pages

171

issn

1664-042X

journal_volume

6

pub_type

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