Blood-based lipidomic signature of severe obstructive sleep apnoea in Alzheimer's disease

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dc.contributor.authorDakterzada, Farida
dc.contributor.authorBenítez, Iván
dc.contributor.authorTarga, Adriano
dc.contributor.authorCarnes, Anna
dc.contributor.authorPujol, Montserrat
dc.contributor.authorMinguez Roure, Olga
dc.contributor.authorVaca, Rafaela
dc.contributor.authorSánchez de la Torre, Manuel
dc.contributor.authorBarbé Illa, Ferran
dc.contributor.authorPamplona Gras, Reinald
dc.contributor.authorPiñol Ripoll, Gerard
dc.date.accessioned2022-12-05T13:03:26Z
dc.date.available2022-12-05T13:03:26Z
dc.date.issued2022
dc.description.abstractBackground: 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 diferent 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 profling was performed using liquid chromatography coupled with mass spectrometry. Results: We identifed a subset of 44 lipids (mainly phospholipids and glycerolipids) that were expressed diferently between patients with AD and severe and nonsevere OSA. Among the lipids in this profle, 30 were signifcantly correlated with specifc 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 fngerprint that allows the identifcation of patients with AD and severe OSA, allowing the personalized management of these individuals. The fndings suggest that oxidative stress and infammation are potential prominent mechanisms underlying the association between OSA and AD.ca_ES
dc.description.sponsorshipGovernment of Catalonia, Department of Health (PERIS 2019 SLT008/18/00050) and “Fundació La Marató TV3” (464/C/2014) to GPR. The Spanish Ministry of Science, Innovation, and Universities (Ministerio de Ciencia, Innovación y Universidades), co-fnanced by FEDER funds from the European Union “A way to build Europe” (grant RTI2018-099200-B-I00), the IRBLleida-Diputació de Lleida (PIRS2021), and the Government of Catalonia: Agency for Management of University and Research Grants (2017SGR696) to RP. FD was supported by the Agency for Management of University and Research Grants and the European Social Fund (FI_B100153). IRBLleida is a CERCA Program of the Government of Catalonia.ca_ES
dc.identifier.doihttps://doi.org/10.1186/s13195-022-01102-8
dc.identifier.idgrec032852
dc.identifier.issn1758-9193
dc.identifier.urihttp://hdl.handle.net/10459.1/84479
dc.language.isoengca_ES
dc.publisherBCMca_ES
dc.relationRTI2018-099200-B-I00ca_ES
dc.relation.isformatofReproducció del document publicat a: https://doi.org/10.1186/s13195-022-01102-8ca_ES
dc.relation.ispartofAlzheimer's Research & Therapy, 2022, vol. 14, núm. 1ca_ES
dc.rightscc-by (c) authors, 2022ca_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectAlzheimer’s diseaseca_ES
dc.subjectBiomarkerca_ES
dc.subjectDiagnosisca_ES
dc.subjectLipidomicsca_ES
dc.subjectObstructive sleep apnoeaca_ES
dc.subjectSTOP-Bang questionnaireca_ES
dc.titleBlood-based lipidomic signature of severe obstructive sleep apnoea in Alzheimer's diseaseca_ES
dc.typeinfo:eu-repo/semantics/articleca_ES
dc.type.versioninfo:eu-repo/semantics/publishedVersionca_ES
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