PreprintCited by 6Extracellular vesicles in diseaseCaveolin-1 and cellular processesAdipokines, Inflammation, and Metabolic Diseases

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Proteomic Profiling of Plasma and Gut-Derived Extracellular Vesicles in Obesity

Open access
Baptista Pereira, Pedro, Torrejón, Estefa, Ferreira, Inês, Carvalho, Ana Sofia, Teshima, Akiko, Sousa-Lima, Inês, Beck, Hans Christian, Costa-Silva, Bruno, Matthiesen, Rune, Macedo, Maria Paula, Oliveria, Rita Machado·2024·Nutrients

Preprint — published as 10.3390/nu16050736 · Paper page

Abstract

Obesity entails metabolic alterations across multiple organs, highlighting the role of inter-organ communication in its pathogenesis. Extracellular vesicles (EVs) are communication agents in physiological and pathological conditions and although they have been associated with obesi-ty-comorbidities, their protein cargo in this context remain largely unknown. To decipher the messages encapsulated in EVs, we isolated plasma derived EVs from diet induced obese murine models. Obese plasma EVs exhibited a decline in protein diversity while control EVs revealed significant enrichment in protein folding functions, highlighting the importance of proper folder in maintaining metabolic homeostasis. Previously, we revealed that gut derived EVs proteome holds particular significance in obesity. Here, we compared plasma and gut EVs and identified four proteins exclusively present in the control state of both EVs, revealing the potential for a non-invasive assessment of gut health by analyzing blood derived EVs. Given the relevance of post-translational modifications (PTMs), we observed a shift in chromatin-related proteins from glycation to acetylation in obese gut EVs, suggesting a regulatory mechanism targeting DNA transcription during obesity. This study provides valuable insights into novel roles of EVs and protein post-translational modifications in the intricate mechanisms underlying obesity, shed-ding light on potential biomarkers and pathways for future research.

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Crossref · 10.20944/preprints202401.0856.v1

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Metadata

Authors
Baptista Pereira, P., Torrejón, E., Ferreira, I., Carvalho, A. S., Teshima, A., Sousa-Lima, I., Beck, H. C., Costa-Silva, B., Matthiesen, R., Macedo, M. P., & Oliveria, R. M.
Affiliations
  • Universidade Nova de Lisboa (PT)
  • Odense University Hospital (DK)
Corresponding author
Macedo, Maria Paula
Venue
Nutrients
Publisher
MDPI AG
Published
2024-01-11
Volume
16
Issue
5
Pages
736-736
ISSN
2072-6643 (ISSN-L)
OpenAlex
W4392379900
Cited by
6
References
1
Citations by year
2026: 2 · 2025: 3 · 2024: 1
FWCI
0.81
Type
journal article
Language
en
Open access
Locations
  • Nutrients (publishedVersion, cc-by)
  • Preprints.org (acceptedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • University of Southern Denmark Research Portal (University of Southern Denmark) (publishedVersion, cc-by)
  • Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) (submittedVersion, other-oa)
Funders
  • European Commission (101080329, 101079264)
  • Ministerio de Economía y Competitividad
  • Fundação para a Ciência e a Tecnologia (101080329, PTDC/MEC-MET/29314/2017, MET/29314/2017, 101079264, /2017, 2022.05764.PTDC)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Extracellular vesicles in disease
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › Caveolin-1 and cellular processes
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Adipokines, Inflammation, and Metabolic Diseases
Keywords
obesity, extracellular vesicles, plasma-derived extracellular vesicles, proteomic profiling, diet-induced obesity, protein folding, post-translational modification, chromatin proteins, inter-organ communication, non-invasive biomarkers
MeSH terms
Extracellular Vesicles, Animals, Humans, Obesity, Protein Processing, Post-Translational, Proteome, Proteomics, Mice

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