A network-based approach to identify deregulated pathways and drug effects in metabolic syndrome

Metabolic syndrome is characterized by complex phenotypes that increases the risk of cardiovascular disease and type 2 diabetes. Here the authors’ integrative network analysis suggests BTK inhibitor ibrutinib to be a promising treatment through its obesity-associated inflammation lowering effect.

Guardado en:

Detalles Bibliográficos
Autores principales:	Karla Misselbeck, Silvia Parolo, Francesca Lorenzini, Valeria Savoca, Lorena Leonardelli, Pranami Bora, Melissa J. Morine, Maria Caterina Mione, Enrico Domenici, Corrado Priami
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2019
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/f96705c65bfd49bc85730e82b064dab7
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:f96705c65bfd49bc85730e82b064dab7
record_format	dspace
spelling	oai:doaj.org-article:f96705c65bfd49bc85730e82b064dab72021-12-02T14:39:01ZA network-based approach to identify deregulated pathways and drug effects in metabolic syndrome10.1038/s41467-019-13208-z2041-1723https://doaj.org/article/f96705c65bfd49bc85730e82b064dab72019-11-01T00:00:00Zhttps://doi.org/10.1038/s41467-019-13208-zhttps://doaj.org/toc/2041-1723Metabolic syndrome is characterized by complex phenotypes that increases the risk of cardiovascular disease and type 2 diabetes. Here the authors’ integrative network analysis suggests BTK inhibitor ibrutinib to be a promising treatment through its obesity-associated inflammation lowering effect.Karla MisselbeckSilvia ParoloFrancesca LorenziniValeria SavocaLorena LeonardelliPranami BoraMelissa J. MorineMaria Caterina MioneEnrico DomeniciCorrado PriamiNature PortfolioarticleScienceQENNature Communications, Vol 10, Iss 1, Pp 1-14 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Karla Misselbeck Silvia Parolo Francesca Lorenzini Valeria Savoca Lorena Leonardelli Pranami Bora Melissa J. Morine Maria Caterina Mione Enrico Domenici Corrado Priami A network-based approach to identify deregulated pathways and drug effects in metabolic syndrome
description	Metabolic syndrome is characterized by complex phenotypes that increases the risk of cardiovascular disease and type 2 diabetes. Here the authors’ integrative network analysis suggests BTK inhibitor ibrutinib to be a promising treatment through its obesity-associated inflammation lowering effect.
format	article
author	Karla Misselbeck Silvia Parolo Francesca Lorenzini Valeria Savoca Lorena Leonardelli Pranami Bora Melissa J. Morine Maria Caterina Mione Enrico Domenici Corrado Priami
author_facet	Karla Misselbeck Silvia Parolo Francesca Lorenzini Valeria Savoca Lorena Leonardelli Pranami Bora Melissa J. Morine Maria Caterina Mione Enrico Domenici Corrado Priami
author_sort	Karla Misselbeck
title	A network-based approach to identify deregulated pathways and drug effects in metabolic syndrome
title_short	A network-based approach to identify deregulated pathways and drug effects in metabolic syndrome
title_full	A network-based approach to identify deregulated pathways and drug effects in metabolic syndrome
title_fullStr	A network-based approach to identify deregulated pathways and drug effects in metabolic syndrome
title_full_unstemmed	A network-based approach to identify deregulated pathways and drug effects in metabolic syndrome
title_sort	network-based approach to identify deregulated pathways and drug effects in metabolic syndrome
publisher	Nature Portfolio
publishDate	2019
url	https://doaj.org/article/f96705c65bfd49bc85730e82b064dab7
work_keys_str_mv	AT karlamisselbeck anetworkbasedapproachtoidentifyderegulatedpathwaysanddrugeffectsinmetabolicsyndrome AT silviaparolo anetworkbasedapproachtoidentifyderegulatedpathwaysanddrugeffectsinmetabolicsyndrome AT francescalorenzini anetworkbasedapproachtoidentifyderegulatedpathwaysanddrugeffectsinmetabolicsyndrome AT valeriasavoca anetworkbasedapproachtoidentifyderegulatedpathwaysanddrugeffectsinmetabolicsyndrome AT lorenaleonardelli anetworkbasedapproachtoidentifyderegulatedpathwaysanddrugeffectsinmetabolicsyndrome AT pranamibora anetworkbasedapproachtoidentifyderegulatedpathwaysanddrugeffectsinmetabolicsyndrome AT melissajmorine anetworkbasedapproachtoidentifyderegulatedpathwaysanddrugeffectsinmetabolicsyndrome AT mariacaterinamione anetworkbasedapproachtoidentifyderegulatedpathwaysanddrugeffectsinmetabolicsyndrome AT enricodomenici anetworkbasedapproachtoidentifyderegulatedpathwaysanddrugeffectsinmetabolicsyndrome AT corradopriami anetworkbasedapproachtoidentifyderegulatedpathwaysanddrugeffectsinmetabolicsyndrome AT karlamisselbeck networkbasedapproachtoidentifyderegulatedpathwaysanddrugeffectsinmetabolicsyndrome AT silviaparolo networkbasedapproachtoidentifyderegulatedpathwaysanddrugeffectsinmetabolicsyndrome AT francescalorenzini networkbasedapproachtoidentifyderegulatedpathwaysanddrugeffectsinmetabolicsyndrome AT valeriasavoca networkbasedapproachtoidentifyderegulatedpathwaysanddrugeffectsinmetabolicsyndrome AT lorenaleonardelli networkbasedapproachtoidentifyderegulatedpathwaysanddrugeffectsinmetabolicsyndrome AT pranamibora networkbasedapproachtoidentifyderegulatedpathwaysanddrugeffectsinmetabolicsyndrome AT melissajmorine networkbasedapproachtoidentifyderegulatedpathwaysanddrugeffectsinmetabolicsyndrome AT mariacaterinamione networkbasedapproachtoidentifyderegulatedpathwaysanddrugeffectsinmetabolicsyndrome AT enricodomenici networkbasedapproachtoidentifyderegulatedpathwaysanddrugeffectsinmetabolicsyndrome AT corradopriami networkbasedapproachtoidentifyderegulatedpathwaysanddrugeffectsinmetabolicsyndrome
_version_	1718390808513609728

A network-based approach to identify deregulated pathways and drug effects in metabolic syndrome

Ejemplares similares