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Blood-based lipidomic signature of severe obstructive sleep apnoea in Alzheimer’s disease
BACKGROUND: Obstructive sleep apnoea (OSA) is the most frequent form of sleep-disordered breathing in patients with Alzheimer’s disease (AD). Available evidence demonstrates that both conditions are independently associated with alterations in lipid metabolism. However, it is unknown whether the exp...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9632042/ https://www.ncbi.nlm.nih.gov/pubmed/36329512 http://dx.doi.org/10.1186/s13195-022-01102-8 |
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author | Dakterzada, Farida Benítez, Iván D. Targa, Adriano Carnes, Anna Pujol, Montse Jové, Mariona Mínguez, Olga Vaca, Rafi Sánchez-de-la-Torre, Manuel Barbé, Ferran Pamplona, Reinald Piñol-Ripoll, Gerard |
author_facet | Dakterzada, Farida Benítez, Iván D. Targa, Adriano Carnes, Anna Pujol, Montse Jové, Mariona Mínguez, Olga Vaca, Rafi Sánchez-de-la-Torre, Manuel Barbé, Ferran Pamplona, Reinald Piñol-Ripoll, Gerard |
author_sort | Dakterzada, Farida |
collection | PubMed |
description | BACKGROUND: Obstructive sleep apnoea (OSA) is the most frequent form of sleep-disordered breathing in patients with Alzheimer’s disease (AD). Available evidence demonstrates that both conditions are independently associated with alterations in lipid metabolism. However, it is unknown whether the expression of lipids is different between AD patients with and without severe OSA. In this context, we examined the plasma lipidome of patients with suspected OSA, aiming to identify potential diagnostic biomarkers and to provide insights into the pathophysiological mechanisms underlying the disease. METHODS: The study included 103 consecutive patients from the memory unit of our institution with a diagnosis of AD. The individuals were subjected to overnight polysomnography (PSG) to diagnose severe OSA (apnoea-hypopnea index ≥30/h), and blood was collected the following morning. Untargeted plasma lipidomic profiling was performed using liquid chromatography coupled with mass spectrometry. RESULTS: We identified a subset of 44 lipids (mainly phospholipids and glycerolipids) that were expressed differently between patients with AD and severe and nonsevere OSA. Among the lipids in this profile, 30 were significantly correlated with specific PSG measures of OSA severity related to sleep fragmentation and hypoxemia. Machine learning analyses revealed a 4-lipid signature (phosphatidylcholine PC(35:4), cis-8,11,14,17-eicosatetraenoic acid and two oxidized triglycerides (OxTG(58:5) and OxTG(62:12)) that provided an accuracy (95% CI) of 0.78 (0.69–0.86) in the detection of OSA. These same lipids improved the predictive power of the STOP-Bang questionnaire in terms of the area under the curve (AUC) from 0.61 (0.50–0.74) to 0.80 (0.70–0.90). CONCLUSION: Our results show a plasma lipidomic fingerprint that allows the identification of patients with AD and severe OSA, allowing the personalized management of these individuals. The findings suggest that oxidative stress and inflammation are potential prominent mechanisms underlying the association between OSA and AD. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13195-022-01102-8. |
format | Online Article Text |
id | pubmed-9632042 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-96320422022-11-04 Blood-based lipidomic signature of severe obstructive sleep apnoea in Alzheimer’s disease Dakterzada, Farida Benítez, Iván D. Targa, Adriano Carnes, Anna Pujol, Montse Jové, Mariona Mínguez, Olga Vaca, Rafi Sánchez-de-la-Torre, Manuel Barbé, Ferran Pamplona, Reinald Piñol-Ripoll, Gerard Alzheimers Res Ther Research BACKGROUND: Obstructive sleep apnoea (OSA) is the most frequent form of sleep-disordered breathing in patients with Alzheimer’s disease (AD). Available evidence demonstrates that both conditions are independently associated with alterations in lipid metabolism. However, it is unknown whether the expression of lipids is different between AD patients with and without severe OSA. In this context, we examined the plasma lipidome of patients with suspected OSA, aiming to identify potential diagnostic biomarkers and to provide insights into the pathophysiological mechanisms underlying the disease. METHODS: The study included 103 consecutive patients from the memory unit of our institution with a diagnosis of AD. The individuals were subjected to overnight polysomnography (PSG) to diagnose severe OSA (apnoea-hypopnea index ≥30/h), and blood was collected the following morning. Untargeted plasma lipidomic profiling was performed using liquid chromatography coupled with mass spectrometry. RESULTS: We identified a subset of 44 lipids (mainly phospholipids and glycerolipids) that were expressed differently between patients with AD and severe and nonsevere OSA. Among the lipids in this profile, 30 were significantly correlated with specific PSG measures of OSA severity related to sleep fragmentation and hypoxemia. Machine learning analyses revealed a 4-lipid signature (phosphatidylcholine PC(35:4), cis-8,11,14,17-eicosatetraenoic acid and two oxidized triglycerides (OxTG(58:5) and OxTG(62:12)) that provided an accuracy (95% CI) of 0.78 (0.69–0.86) in the detection of OSA. These same lipids improved the predictive power of the STOP-Bang questionnaire in terms of the area under the curve (AUC) from 0.61 (0.50–0.74) to 0.80 (0.70–0.90). CONCLUSION: Our results show a plasma lipidomic fingerprint that allows the identification of patients with AD and severe OSA, allowing the personalized management of these individuals. The findings suggest that oxidative stress and inflammation are potential prominent mechanisms underlying the association between OSA and AD. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13195-022-01102-8. BioMed Central 2022-11-03 /pmc/articles/PMC9632042/ /pubmed/36329512 http://dx.doi.org/10.1186/s13195-022-01102-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Dakterzada, Farida Benítez, Iván D. Targa, Adriano Carnes, Anna Pujol, Montse Jové, Mariona Mínguez, Olga Vaca, Rafi Sánchez-de-la-Torre, Manuel Barbé, Ferran Pamplona, Reinald Piñol-Ripoll, Gerard Blood-based lipidomic signature of severe obstructive sleep apnoea in Alzheimer’s disease |
title | Blood-based lipidomic signature of severe obstructive sleep apnoea in Alzheimer’s disease |
title_full | Blood-based lipidomic signature of severe obstructive sleep apnoea in Alzheimer’s disease |
title_fullStr | Blood-based lipidomic signature of severe obstructive sleep apnoea in Alzheimer’s disease |
title_full_unstemmed | Blood-based lipidomic signature of severe obstructive sleep apnoea in Alzheimer’s disease |
title_short | Blood-based lipidomic signature of severe obstructive sleep apnoea in Alzheimer’s disease |
title_sort | blood-based lipidomic signature of severe obstructive sleep apnoea in alzheimer’s disease |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9632042/ https://www.ncbi.nlm.nih.gov/pubmed/36329512 http://dx.doi.org/10.1186/s13195-022-01102-8 |
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