Plasma profiling reveals a blood-based metabolic fingerprint of obstructive sleep apnea

Introduction: Obstructive sleep apnea (OSA) is a chronic, heterogeneous and multicomponent disorder with associated cardiovascular and metabolic alterations. Despite being the most common sleep-disordered breathing, it remains a significantly undiagnosed condition. Objective: We examined the plasma...

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Autores principales:	Lucía Pinilla, Iván D. Benítez, Fernando Santamaria-Martos, Adriano Targa, Anna Moncusí-Moix, Mireia Dalmases, Olga Mínguez, Maria Aguilà, Mariona Jové, Joaquim Sol, Reinald Pamplona, Ferran Barbé, Manuel Sánchez-de-la-Torre
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2022
Materias:	Obstructive sleep apnea Metabolomics Lipidomics Biomarker Diagnosis CPAP Therapeutics. Pharmacology RM1-950
Acceso en línea:	https://doaj.org/article/255bf346622a40bb821cd52b5b983d4e
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spelling	oai:doaj.org-article:255bf346622a40bb821cd52b5b983d4e2021-11-20T04:55:51ZPlasma profiling reveals a blood-based metabolic fingerprint of obstructive sleep apnea0753-332210.1016/j.biopha.2021.112425https://doaj.org/article/255bf346622a40bb821cd52b5b983d4e2022-01-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S0753332221012117https://doaj.org/toc/0753-3322Introduction: Obstructive sleep apnea (OSA) is a chronic, heterogeneous and multicomponent disorder with associated cardiovascular and metabolic alterations. Despite being the most common sleep-disordered breathing, it remains a significantly undiagnosed condition. Objective: We examined the plasma metabolome and lipidome of patients with suspected OSA, aiming to identify potential diagnosis biomarkers and to provide insights into the pathophysiological mechanisms underlying the disease. Additionally, we evaluated the impact of continuous positive airway pressure (CPAP) treatment on the circulating metabolomic and lipidomic profile. Material and methods: Observational-prospective-longitudinal study including 206 consecutive subjects referred to the sleep unit. OSA was defined as an apnea-hypopnoea index ≥ 15 events/h after polysomnography (PSG). Patients treated with CPAP were followed-up for 6 months. Untargeted plasma metabolomic and lipidomic profiling was performed using liquid chromatography coulpled to massspectrometry. Results: A plasma profile composed of 33 metabolites (mainly glycerophospholipids and bile acids) was identified in OSA vs. non-OSA patients. This profile correlated with specific PSG measures of OSA severity related to sleep fragmentation and hypoxemia. Machine learning analyses disclosed a 4-metabolites-signature that provided an accuracy (95% CI) of 0.98 (0.95–0.99) for OSA detection. CPAP treatment was associated with changes in 5 plasma metabolites previously altered by OSA. Conclusions: This analysis of the circulating metabolome and lipidome reveals a molecular fingerprint of OSA, which was modulated after effective CPAP treatment. Our results suggest blood-based biomarker candidates with potential application in the personalized management of OSA and suggest the activation of adaptive mechanisms in response to OSA-derived hypoxia.Lucía PinillaIván D. BenítezFernando Santamaria-MartosAdriano TargaAnna Moncusí-MoixMireia DalmasesOlga MínguezMaria AguilàMariona JovéJoaquim SolReinald PamplonaFerran BarbéManuel Sánchez-de-la-TorreElsevierarticleObstructive sleep apneaMetabolomicsLipidomicsBiomarkerDiagnosisCPAPTherapeutics. PharmacologyRM1-950ENBiomedicine & Pharmacotherapy, Vol 145, Iss , Pp 112425- (2022)
institution	DOAJ
collection	DOAJ
language	EN
topic	Obstructive sleep apnea Metabolomics Lipidomics Biomarker Diagnosis CPAP Therapeutics. Pharmacology RM1-950
spellingShingle	Obstructive sleep apnea Metabolomics Lipidomics Biomarker Diagnosis CPAP Therapeutics. Pharmacology RM1-950 Lucía Pinilla Iván D. Benítez Fernando Santamaria-Martos Adriano Targa Anna Moncusí-Moix Mireia Dalmases Olga Mínguez Maria Aguilà Mariona Jové Joaquim Sol Reinald Pamplona Ferran Barbé Manuel Sánchez-de-la-Torre Plasma profiling reveals a blood-based metabolic fingerprint of obstructive sleep apnea
description	Introduction: Obstructive sleep apnea (OSA) is a chronic, heterogeneous and multicomponent disorder with associated cardiovascular and metabolic alterations. Despite being the most common sleep-disordered breathing, it remains a significantly undiagnosed condition. Objective: We examined the plasma metabolome and lipidome of patients with suspected OSA, aiming to identify potential diagnosis biomarkers and to provide insights into the pathophysiological mechanisms underlying the disease. Additionally, we evaluated the impact of continuous positive airway pressure (CPAP) treatment on the circulating metabolomic and lipidomic profile. Material and methods: Observational-prospective-longitudinal study including 206 consecutive subjects referred to the sleep unit. OSA was defined as an apnea-hypopnoea index ≥ 15 events/h after polysomnography (PSG). Patients treated with CPAP were followed-up for 6 months. Untargeted plasma metabolomic and lipidomic profiling was performed using liquid chromatography coulpled to massspectrometry. Results: A plasma profile composed of 33 metabolites (mainly glycerophospholipids and bile acids) was identified in OSA vs. non-OSA patients. This profile correlated with specific PSG measures of OSA severity related to sleep fragmentation and hypoxemia. Machine learning analyses disclosed a 4-metabolites-signature that provided an accuracy (95% CI) of 0.98 (0.95–0.99) for OSA detection. CPAP treatment was associated with changes in 5 plasma metabolites previously altered by OSA. Conclusions: This analysis of the circulating metabolome and lipidome reveals a molecular fingerprint of OSA, which was modulated after effective CPAP treatment. Our results suggest blood-based biomarker candidates with potential application in the personalized management of OSA and suggest the activation of adaptive mechanisms in response to OSA-derived hypoxia.
format	article
author	Lucía Pinilla Iván D. Benítez Fernando Santamaria-Martos Adriano Targa Anna Moncusí-Moix Mireia Dalmases Olga Mínguez Maria Aguilà Mariona Jové Joaquim Sol Reinald Pamplona Ferran Barbé Manuel Sánchez-de-la-Torre
author_facet	Lucía Pinilla Iván D. Benítez Fernando Santamaria-Martos Adriano Targa Anna Moncusí-Moix Mireia Dalmases Olga Mínguez Maria Aguilà Mariona Jové Joaquim Sol Reinald Pamplona Ferran Barbé Manuel Sánchez-de-la-Torre
author_sort	Lucía Pinilla
title	Plasma profiling reveals a blood-based metabolic fingerprint of obstructive sleep apnea
title_short	Plasma profiling reveals a blood-based metabolic fingerprint of obstructive sleep apnea
title_full	Plasma profiling reveals a blood-based metabolic fingerprint of obstructive sleep apnea
title_fullStr	Plasma profiling reveals a blood-based metabolic fingerprint of obstructive sleep apnea
title_full_unstemmed	Plasma profiling reveals a blood-based metabolic fingerprint of obstructive sleep apnea
title_sort	plasma profiling reveals a blood-based metabolic fingerprint of obstructive sleep apnea
publisher	Elsevier
publishDate	2022
url	https://doaj.org/article/255bf346622a40bb821cd52b5b983d4e
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Plasma profiling reveals a blood-based metabolic fingerprint of obstructive sleep apnea

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