Adipocyte metabolism is improved by TNF receptor-targeting small RNAs identified from dried nuts.


Journal

Communications biology
ISSN: 2399-3642
Titre abrégé: Commun Biol
Pays: England
ID NLM: 101719179

Informations de publication

Date de publication:
2019
Historique:
received: 06 03 2019
accepted: 30 07 2019
entrez: 28 8 2019
pubmed: 28 8 2019
medline: 28 8 2019
Statut: epublish

Résumé

There is a growing interest in therapeutically targeting the inflammatory response that underlies age-related chronic diseases including obesity and type 2 diabetes. Through integrative small RNA sequencing, we show the presence of conserved plant miR159a and miR156c in dried nuts having high complementarity with the mammalian TNF receptor superfamily member 1a (Tnfrsf1a) transcript. We detected both miR159a and miR156c in exosome-like nut nanovesicles (NVs) and demonstrated that such NVs reduce Tnfrsf1a protein and dampen TNF-α signaling pathway in adipocytes. Synthetic single-stranded microRNAs (ss-miRs) modified with 2'-

Identifiants

pubmed: 31453381
doi: 10.1038/s42003-019-0563-7
pii: 563
pmc: PMC6704100
doi:

Substances chimiques

Cytokines 0
Insulin 0
MicroRNAs 0
RNA, Messenger 0
RNA, Plant 0
Receptors, Tumor Necrosis Factor 0
Glucose IY9XDZ35W2

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Pagination

317

Déclaration de conflit d'intérêts

Competing interestsThe authors declare no competing interests

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Auteurs

Katia Aquilano (K)

1Department of Biology, University of Rome Tor Vergata, Rome, Italy.

Veronica Ceci (V)

1Department of Biology, University of Rome Tor Vergata, Rome, Italy.

Angelo Gismondi (A)

1Department of Biology, University of Rome Tor Vergata, Rome, Italy.

Susanna De Stefano (S)

2Department of Chemical Sciences and Technologies, University of Rome Tor Vergata, Rome, Italy.

Federico Iacovelli (F)

1Department of Biology, University of Rome Tor Vergata, Rome, Italy.

Raffaella Faraonio (R)

3Department of Molecular Medicine and Medical Biotechnologies, University of Naples Federico II, Naples, Italy.

Gabriele Di Marco (G)

1Department of Biology, University of Rome Tor Vergata, Rome, Italy.

Noemi Poerio (N)

1Department of Biology, University of Rome Tor Vergata, Rome, Italy.

Antonella Minutolo (A)

1Department of Biology, University of Rome Tor Vergata, Rome, Italy.

Giuseppina Minopoli (G)

3Department of Molecular Medicine and Medical Biotechnologies, University of Naples Federico II, Naples, Italy.

Antonia Marcone (A)

3Department of Molecular Medicine and Medical Biotechnologies, University of Naples Federico II, Naples, Italy.

Maurizio Fraziano (M)

1Department of Biology, University of Rome Tor Vergata, Rome, Italy.

Flavia Tortolici (F)

1Department of Biology, University of Rome Tor Vergata, Rome, Italy.

Simona Sennato (S)

4CNR-ISC and Department of Physics, Sapienza University of Rome, Piazzale A. Moro 2, 00185 Rome, Italy.

Stefano Casciardi (S)

5Department of Occupational and Environmental Medicine, Epidemiology and Hygiene, National Institute for Insurance against Accidents at Work (INAIL) Research, Rome, Italy.

Marina Potestà (M)

1Department of Biology, University of Rome Tor Vergata, Rome, Italy.

Roberta Bernardini (R)

6Interdepartmental Service Center-Station for Anima Technology (STA), University of Rome Tor Vergata, Rome, Italy.

Maurizio Mattei (M)

1Department of Biology, University of Rome Tor Vergata, Rome, Italy.
6Interdepartmental Service Center-Station for Anima Technology (STA), University of Rome Tor Vergata, Rome, Italy.

Mattia Falconi (M)

1Department of Biology, University of Rome Tor Vergata, Rome, Italy.

Carla Montesano (C)

1Department of Biology, University of Rome Tor Vergata, Rome, Italy.

Stefano Rufini (S)

1Department of Biology, University of Rome Tor Vergata, Rome, Italy.

Antonella Canini (A)

1Department of Biology, University of Rome Tor Vergata, Rome, Italy.

Daniele Lettieri-Barbato (D)

1Department of Biology, University of Rome Tor Vergata, Rome, Italy.
7IRCCS Fondazione Santa Lucia, 00143 Rome, Italy.

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Classifications MeSH