Blood-based lipidomic signature of severe obstructive sleep apnoea in Alzheimer’s disease
Abstract 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...
| Main Authors: | , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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BMC
2022-11-01
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| Series: | Alzheimer’s Research & Therapy |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13195-022-01102-8 |
| _version_ | 1798044288160890880 |
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| author | Farida Dakterzada Iván D. Benítez Adriano Targa Anna Carnes Montse Pujol Mariona Jové Olga Mínguez Rafi Vaca Manuel Sánchez-de-la-Torre Ferran Barbé Reinald Pamplona Gerard Piñol-Ripoll |
| author_facet | Farida Dakterzada Iván D. Benítez Adriano Targa Anna Carnes Montse Pujol Mariona Jové Olga Mínguez Rafi Vaca Manuel Sánchez-de-la-Torre Ferran Barbé Reinald Pamplona Gerard Piñol-Ripoll |
| author_sort | Farida Dakterzada |
| collection | DOAJ |
| description | Abstract 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. |
| first_indexed | 2024-04-11T23:01:22Z |
| format | Article |
| id | doaj.art-1c1f1e68a51f433586236f6f11c06fe5 |
| institution | Directory Open Access Journal |
| issn | 1758-9193 |
| language | English |
| last_indexed | 2024-04-11T23:01:22Z |
| publishDate | 2022-11-01 |
| publisher | BMC |
| record_format | Article |
| series | Alzheimer’s Research & Therapy |
| spelling | doaj.art-1c1f1e68a51f433586236f6f11c06fe52022-12-22T03:58:07ZengBMCAlzheimer’s Research & Therapy1758-91932022-11-0114111210.1186/s13195-022-01102-8Blood-based lipidomic signature of severe obstructive sleep apnoea in Alzheimer’s diseaseFarida Dakterzada0Iván D. Benítez1Adriano Targa2Anna Carnes3Montse Pujol4Mariona Jové5Olga Mínguez6Rafi Vaca7Manuel Sánchez-de-la-Torre8Ferran Barbé9Reinald Pamplona10Gerard Piñol-Ripoll11Unitat Trastorns Cognitius, Clinical Neuroscience Research, IRBLleida-Santa Maria Lleida University HospitalGroup of Translational Research in Respiratory Medicine, Hospital Universitari Arnau de Vilanova and Santa Maria, IRBLleidaGroup of Translational Research in Respiratory Medicine, Hospital Universitari Arnau de Vilanova and Santa Maria, IRBLleidaUnitat Trastorns Cognitius, Clinical Neuroscience Research, IRBLleida-Santa Maria Lleida University HospitalGroup of Translational Research in Respiratory Medicine, Hospital Universitari Arnau de Vilanova and Santa Maria, IRBLleidaDepartment of Experimental Medicine, University of Lleida-Biomedical Research Institute of Lleida (UdL-IRBLleida)Group of Translational Research in Respiratory Medicine, Hospital Universitari Arnau de Vilanova and Santa Maria, IRBLleidaGroup of Translational Research in Respiratory Medicine, Hospital Universitari Arnau de Vilanova and Santa Maria, IRBLleidaDepartment of Nursing and Physiotherapy, Group of Precision Medicine in Chronic Diseases, University Hospital Arnau de Vilanova and Santa María, IRBLleida, Faculty of Nursing and Physiotherapy, University of LleidaGroup of Translational Research in Respiratory Medicine, Hospital Universitari Arnau de Vilanova and Santa Maria, IRBLleidaDepartment of Experimental Medicine, University of Lleida-Biomedical Research Institute of Lleida (UdL-IRBLleida)Unitat Trastorns Cognitius, Clinical Neuroscience Research, IRBLleida-Santa Maria Lleida University HospitalAbstract 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.https://doi.org/10.1186/s13195-022-01102-8Alzheimer’s diseaseBiomarkerDiagnosisLipidomicsObstructive sleep apnoeaSTOP-Bang questionnaire |
| spellingShingle | Farida Dakterzada Iván D. Benítez Adriano Targa Anna Carnes Montse Pujol Mariona Jové Olga Mínguez Rafi Vaca Manuel Sánchez-de-la-Torre Ferran Barbé Reinald Pamplona Gerard Piñol-Ripoll Blood-based lipidomic signature of severe obstructive sleep apnoea in Alzheimer’s disease Alzheimer’s Research & Therapy Alzheimer’s disease Biomarker Diagnosis Lipidomics Obstructive sleep apnoea STOP-Bang questionnaire |
| 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 | Alzheimer’s disease Biomarker Diagnosis Lipidomics Obstructive sleep apnoea STOP-Bang questionnaire |
| url | https://doi.org/10.1186/s13195-022-01102-8 |
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