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

Autor: Antonella Canini, Stefano Rufini, Carla Montesano, Mattia Falconi, Daniele Lettieri-Barbato, Antonia Marcone, Raffaella Faraonio, Susanna De Stefano, Noemi Poerio, Flavia Tortolici, Maurizio Mattei, Antonella Minutolo, Roberta Bernardini, Simona Sennato, Federico Iacovelli, Giuseppina Minopoli, Stefano Casciardi, Gabriele Di Marco, Katia Aquilano, Maurizio Fraziano, Veronica Ceci, Marina Potestà, Angelo Gismondi
Přispěvatelé: Aquilano, K., Ceci, V., Gismondi, A., De Stefano, S., Iacovelli, F., Faraonio, R., Di Marco, G., Poerio, N., Minutolo, A., Minopoli, G., Marcone, A., Fraziano, M., Tortolici, F., Sennato, S., Casciardi, S., Potesta', GIAN LUCA, Bernardini, R., Mattei, M., Falconi, M., Montesano, C., Rufini, S., Canini, A., Lettieri-Barbato, D.
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Small RNA
Medicine (miscellaneous)
Receptors
Tumor Necrosis Factor

chemistry.chemical_compound
Mice
0302 clinical medicine
Gene Expression Regulation
Plant

Adipocyte
Adipocytes
Insulin
Nuts
lcsh:QH301-705.5
0303 health sciences
Molecular medicine
food and beverages
Cell biology
Adipose Tissue
RNA
Plant

030220 oncology & carcinogenesis
Cytokines
Tumor necrosis factor alpha
Female
medicine.symptom
Signal transduction
General Agricultural and Biological Sciences
Disease model
Metabolism
Inflammation
Biology
Settore BIO/09
General Biochemistry
Genetics and Molecular Biology

Article
03 medical and health sciences
3T3-L1 Cells
microRNA
medicine
Animals
Humans
RNA
Messenger

Settore BIO/10
Desiccation
030304 developmental biology
Oligonucleotide
Hypertrophy
Mice
Inbred C57BL

MicroRNAs
Glucose
HEK293 Cells
RAW 264.7 Cells
chemistry
lcsh:Biology (General)
Nanoparticles
Zdroj: Communications Biology, Vol 2, Iss 1, Pp 1-13 (2019)
Communications biology 2 (2019). doi:10.1038/s42003-019-0563-7
info:cnr-pdr/source/autori:Aquilano, Katia; Ceci, Veronica; Gismondi, Angelo; De Stefano, Susanna; Iacovelli, Federico; Faraonio, Raffaella; Di Marcos, Gabriele; Poerio, Noemi; Minutolo, Antonella; Minopoli, Giuseppina; Marcone, Antonia; Fraziano, Maurizio; Tortolici, Flavia; Sennato, Simona; Casciardi, Stefano; Potesta, Marina; Bernardini, Roberta; Mattei, Maurizio; Falconi, Mattia; Montesano, Carla; Rufini, Stefano; Canini, Antonella; Lettieri-Barbato, Daniele/titolo:Adipocyte metabolism is improved by TNF receptor-targeting small RNAs identified from dried nuts/doi:10.1038%2Fs42003-019-0563-7/rivista:Communications biology/anno:2019/pagina_da:/pagina_a:/intervallo_pagine:/volume:2
Communications Biology
ISSN: 2399-3642
Popis: 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′-O-methyl group function as miR mimics. In plants, this modification naturally occurs on nearly all small RNAs. 2′-O-methylated ss-miR mimics for miR156c and miR159a decreased Tnfrsf1a protein and inflammatory markers in hypertrophic as well as TNF-α-treated adipocytes and macrophages. miR156c and miR159a mimics effectively suppress inflammation in mice, highlighting a potential role of plant miR-based, single-stranded oligonucleotides in treating inflammatory-associated metabolic diseases.
Aquilano et al. identify conserved plant miR159a and miR156c in dried nuts and show that these miRNAs target TNF receptor superfamily member 1a to suppress TNF-α-mediated inflammation. This study highlights the potential of plant miR-based oligonucleotides as a therapeutic option to treat metabolic diseases hallmarked by inflammation.
Databáze: OpenAIRE
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