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Çoşğun İG, Gürel A. Obstructive sleep apnea and bladder pain syndrome/interstitial cystitis in women. Sleep Breath 2024; 28:999-1003. [PMID: 38147287 DOI: 10.1007/s11325-023-02967-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Revised: 11/21/2023] [Accepted: 12/04/2023] [Indexed: 12/27/2023]
Abstract
PURPOSE The relationship between obstructive sleep apnea (OSA) and bladder pain syndrome/interstitial cystitis (BPS/IC) remains uncertain. Therefore, this study aimed to compare the frequency of BPS/IC seen in women diagnosed with OSA and in women without OSA. MATERIAL AND METHODS The study included a patient group of women with OSA and a control group of women without OSA. All the study participants were administered the Berlin Questionnaire, Epworth Sleepiness Scale, Interstitial Cystitis Symptom Index (ICSI), and the Interstitial Cystitis Problem Index (ICPI). Differences between the women with OSA and the control group were examined. RESULTS The study sample consisted of 46 women with OSA and 46 controls. No significant difference was determined between the OSA and control groups concerning age and body mass index (p = 0.810, p = 0.060, respectively). The ESS was greater in the OSA group than in the control group (p = 0.007). The median (IQR) ICSI was 8 (4-11.25) in women with OSA and 5 (1.75-7.15) in controls (p < 0.001). The median (IQR) ICPI was 7 (6.00-10.25) in women with OSA and 6 (1.75-8.00) in controls (p < 0.001). CONCLUSIONS: The ICSI symptoms and subsequent problems in daily life caused by the symptoms (ICPI) were experienced at a higher rate in patients with OSA than in the control group. There is an association between BPS/IC and OSA.
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Affiliation(s)
- İbrahim Güven Çoşğun
- Department of Pulmonology, Afyonkarahisar Health Sciences University Medical Faculty, Afyonkarahisar, Turkey.
| | - Abdullah Gürel
- Department of Urology, Afyonkarahisar Health Sciences University Medical Faculty, Afyonkarahisar, Turkey
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Pinilla L, Benítez ID, Gracia-Lavedan E, Torres G, Mínguez O, Vaca R, Jové M, Sol J, Pamplona R, Barbé F, Sánchez-de-la-Torre M. Metabolipidomic Analysis in Patients with Obstructive Sleep Apnea Discloses a Circulating Metabotype of Non-Dipping Blood Pressure. Antioxidants (Basel) 2023; 12:2047. [PMID: 38136167 PMCID: PMC10741016 DOI: 10.3390/antiox12122047] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Revised: 11/07/2023] [Accepted: 11/19/2023] [Indexed: 12/24/2023] Open
Abstract
A non-dipping blood pressure (BP) pattern, which is frequently present in patients with obstructive sleep apnea (OSA), confers high cardiovascular risk. The mechanisms connecting these two conditions remain unclear. In the present study we performed a comprehensive analysis of the blood metabolipidome that aims to provide new insights into the molecular link between OSA and the dysregulation of circadian BP rhythmicity. This was an observational prospective longitudinal study involving adults with suspected OSA who were subjected to full polysomnography (PSG). Patients with an apnea-hypopnea index ≥ 5 events/h were included. Fasting plasma samples were obtained the morning after PSG. Based on the dipping ratio (DR; ratio of night/day BP values) measured via 24 h ambulatory BP monitoring, two groups were established: dippers (DR ≤ 0.9) and non-dippers (DR > 0.9). Treatment recommendations for OSA followed the clinical guidelines. Untargeted metabolomic and lipidomic analyses were performed in plasma samples via liquid chromatography-tandem mass spectrometry. Non-dipper patients represented 53.7% of the cohort (88/164 patients). A set of 31 metabolic species and 13 lipidic species were differentially detected between OSA patients who present a physiologic nocturnal BP decrease and those with abnormal BP dipping. Among the 44 differentially abundant plasma compounds, 25 were putatively identified, notably glycerophospholipids, glycolipids, sterols, and fatty acid derivates. Multivariate analysis defined a specific metabotype of non-dipping BP, which showed a significant dose-response relationship with PSG parameters of OSA severity, and with BP dipping changes after 6 months of OSA treatment with continuous positive airway pressure (CPAP). Bioinformatic analyses revealed that the identified metabolipidomic profile was found to be implicated in multiple systemic biological pathways, with potential physiopathologic implications for the circadian control of BP among individuals with OSA.
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Affiliation(s)
- Lucía Pinilla
- Precision Medicine in Chronic Diseases Group, Respiratory Department, University Hospital Arnau de Vilanova and Santa María, Department of Nursing and Physiotherapy, Faculty of Nursing and Physiotherapy, University of Lleida, IRBLleida, 25198 Lleida, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
| | - Iván D. Benítez
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
- Translational Research in Respiratory Medicine Group, Respiratory Department, University Hospital Arnau de Vilanova and Santa María, IRBLleida, 25198 Lleida, Spain
| | - Esther Gracia-Lavedan
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
- Translational Research in Respiratory Medicine Group, Respiratory Department, University Hospital Arnau de Vilanova and Santa María, IRBLleida, 25198 Lleida, Spain
| | - Gerard Torres
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
- Translational Research in Respiratory Medicine Group, Respiratory Department, University Hospital Arnau de Vilanova and Santa María, IRBLleida, 25198 Lleida, Spain
| | - Olga Mínguez
- Translational Research in Respiratory Medicine Group, Respiratory Department, University Hospital Arnau de Vilanova and Santa María, IRBLleida, 25198 Lleida, Spain
| | - Rafaela Vaca
- Translational Research in Respiratory Medicine Group, Respiratory Department, University Hospital Arnau de Vilanova and Santa María, IRBLleida, 25198 Lleida, Spain
| | - Mariona Jové
- Department of Experimental Medicine, University of Lleida-Biomedical Research Institute of Lleida (UdL-IRBLleida), 25198 Lleida, Spain
| | - Joaquim Sol
- Department of Experimental Medicine, University of Lleida-Biomedical Research Institute of Lleida (UdL-IRBLleida), 25198 Lleida, Spain
- Institut Català de la Salut, Atenció Primària, 25198 Lleida, Spain
- Research Support Unit Lleida, Fundació Institut Universitari per a la Recerca a l’Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), 08007 Lleida, Spain
| | - Reinald Pamplona
- Department of Experimental Medicine, University of Lleida-Biomedical Research Institute of Lleida (UdL-IRBLleida), 25198 Lleida, Spain
| | - Ferran Barbé
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
- Translational Research in Respiratory Medicine Group, Respiratory Department, University Hospital Arnau de Vilanova and Santa María, IRBLleida, 25198 Lleida, Spain
| | - Manuel Sánchez-de-la-Torre
- Precision Medicine in Chronic Diseases Group, Respiratory Department, University Hospital Arnau de Vilanova and Santa María, Department of Nursing and Physiotherapy, Faculty of Nursing and Physiotherapy, University of Lleida, IRBLleida, 25198 Lleida, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
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Khalyfa A, Marin JM, Sanz-Rubio D, Lyu Z, Joshi T, Gozal D. Multi-Omics Analysis of Circulating Exosomes in Adherent Long-Term Treated OSA Patients. Int J Mol Sci 2023; 24:16074. [PMID: 38003263 PMCID: PMC10671639 DOI: 10.3390/ijms242216074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Revised: 10/23/2023] [Accepted: 11/02/2023] [Indexed: 11/26/2023] Open
Abstract
Obstructive sleep apnea (OSA) is a highly prevalent chronic disease affecting nearly a billion people globally and increasing the risk of multi-organ morbidity and overall mortality. However, the mechanisms underlying such adverse outcomes remain incompletely delineated. Extracellular vesicles (exosomes) are secreted by most cells, are involved in both proximal and long-distance intercellular communication, and contribute toward homeostasis under physiological conditions. A multi-omics integrative assessment of plasma-derived exosomes from adult OSA patients prior to and after 1-year adherent CPAP treatment is lacking. We conducted multi-omic integrative assessments of plasma-derived exosomes from adult OSA patients prior to and following 1-year adherent CPAP treatment to identify potential specific disease candidates. Fasting morning plasma exosomes isolated from 12 adult patients with polysomnographically-diagnosed OSA were analyzed before and after 12 months of adherent CPAP therapy (mean ≥ 6 h/night) (OSAT). Exosomes were characterized by flow cytometry, transmission electron microscopy, and nanoparticle tracking analysis. Endothelial cell barrier integrity, wound healing, and tube formation were also performed. Multi-omics analysis for exosome cargos was integrated. Exosomes derived from OSAT improved endothelial permeability and dysfunction as well as significant improvement in tube formation compared with OSA. Multi-omic approaches for OSA circulating exosomes included lipidomic, proteomic, and small RNA (miRNAs) assessments. We found 30 differentially expressed proteins (DEPs), 72 lipids (DELs), and 13 miRNAs (DEMs). We found that the cholesterol metabolism (has04979) pathway is associated with lipid classes in OSA patients. Among the 12 subjects of OSA and OSAT, seven subjects had complete comprehensive exosome cargo information including lipids, proteins, and miRNAs. Multi-omic approaches identify potential signature biomarkers in plasma exosomes that are responsive to adherent OSA treatment. These differentially expressed molecules may also play a mechanistic role in OSA-induced morbidities and their reversibility. Our data suggest that a multi-omic integrative approach might be useful in understanding how exosomes function, their origin, and their potential clinical relevance, all of which merit future exploration in the context of relevant phenotypic variance. Developing an integrated molecular classification should lead to improved diagnostic classification, risk stratification, and patient management of OSA by assigning molecular disease-specific therapies.
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Affiliation(s)
- Abdelnaby Khalyfa
- Department of Child Health, Child Health Research Institute, School of Medicine, University of Missouri, Columbia, MO 65211, USA;
| | - Jose M. Marin
- Translational Research Unit, Hospital Universitario Miguel Servet & IISAragon, CIBERES, 50009 Zaragoza, Spain
| | - David Sanz-Rubio
- Translational Research Unit, Hospital Universitario Miguel Servet & IISAragon, CIBERES, 50009 Zaragoza, Spain
| | - Zhen Lyu
- Department of Electrical Engineering and Computer Science, University of Missouri, Columbia, MO 65201, USA; (Z.L.); (T.J.)
| | - Trupti Joshi
- Department of Electrical Engineering and Computer Science, University of Missouri, Columbia, MO 65201, USA; (Z.L.); (T.J.)
- Department of Health Management and Informatics, MU Institute for Data Science and Informatics and Christopher S Bond Life Science Center, University of Missouri, Columbia, MO 65211, USA
| | - David Gozal
- Department of Child Health, Child Health Research Institute, School of Medicine, University of Missouri, Columbia, MO 65211, USA;
- Joan C. Edwards School of Medicine, Marshall University, Huntington, WV 25755, USA
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Du Z, Li F, Jiang L, Li L, Du Y, Yu H, Luo Y, Wang Y, Sun H, Hu C, Li J, Yang Y, Jiao X, Wang L, Qin Y. Metabolic systems approaches update molecular insights of clinical phenotypes and cardiovascular risk in patients with homozygous familial hypercholesterolemia. BMC Med 2023; 21:275. [PMID: 37501168 PMCID: PMC10375787 DOI: 10.1186/s12916-023-02967-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Accepted: 06/28/2023] [Indexed: 07/29/2023] Open
Abstract
BACKGROUND Homozygous familial hypercholesterolemia (HoFH) is an orphan metabolic disease characterized by extremely elevated low-density lipoprotein cholesterol (LDL-C), xanthomas, aortic stenosis, and premature atherosclerotic cardiovascular disease (ASCVD). In addition to LDL-C, studies in experimental models and small clinical populations have suggested that other types of metabolic molecules might also be risk factors responsible for cardiovascular complications in HoFH, but definitive evidence from large-scale human studies is still lacking. Herein, we aimed to comprehensively characterize the metabolic features and risk factors of human HoFH by using metabolic systems strategies. METHODS Two independent multi-center cohorts with a total of 868 individuals were included in the cross-sectional study. First, comprehensive serum metabolome/lipidome-wide analyses were employed to identify the metabolomic patterns for differentiating HoFH patients (n = 184) from heterozygous FH (HeFH, n = 376) and non-FH (n = 100) subjects in the discovery cohort. Then, the metabolomic patterns were verified in the validation cohort with 48 HoFH patients, 110 HeFH patients, and 50 non-FH individuals. Subsequently, correlation/regression analyses were performed to investigate the associations of clinical/metabolic alterations with typical phenotypes of HoFH. In the prospective study, a total of 84 HoFH patients with available follow-up were enrolled from the discovery cohort. Targeted metabolomics, deep proteomics, and random forest approaches were performed to investigate the ASCVD-associated biomarkers in HoFH patients. RESULTS Beyond LDL-C, various bioactive metabolites in multiple pathways were discovered and validated for differentiating HoFH from HoFH and non-FH. Our results demonstrated that the inflammation and oxidative stress-related metabolites in the pathways of arachidonic acid and lipoprotein(a) metabolism were independently associated with the prevalence of corneal arcus, xanthomas, and supravalvular/valvular aortic stenosis in HoFH patients. Our results also identified a small marker panel consisting of high-density lipoprotein cholesterol, lipoprotein(a), apolipoprotein A1, and eight proinflammatory and proatherogenic metabolites in the pathways of arachidonic acid, phospholipid, carnitine, and sphingolipid metabolism that exhibited significant performances on predicting first ASCVD events in HoFH patients. CONCLUSIONS Our findings demonstrate that human HoFH is associated with a variety of metabolic abnormalities and is more complex than previously known. Furthermore, this study provides additional metabolic alterations that hold promise as residual risk factors in HoFH population.
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Affiliation(s)
- Zhiyong Du
- Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, National Clinical Research Center for Cardiovascular Diseases, Beijing Anzhen Hospital, Capital Medical University, Beijing, 100029, China
- Beijing Institute of Heart Lung and Blood Vessel Disease, Beijing, 100029, China
| | - Fan Li
- Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, National Clinical Research Center for Cardiovascular Diseases, Beijing Anzhen Hospital, Capital Medical University, Beijing, 100029, China
- Beijing Institute of Heart Lung and Blood Vessel Disease, Beijing, 100029, China
| | - Long Jiang
- Department of Cardiology, The Second Affiliated Hospital of Nanchang University, Nanchang, 330006, Jiangxi Province, China
| | - Linyi Li
- Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, National Clinical Research Center for Cardiovascular Diseases, Beijing Anzhen Hospital, Capital Medical University, Beijing, 100029, China
- Beijing Institute of Heart Lung and Blood Vessel Disease, Beijing, 100029, China
| | - Yunhui Du
- Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, National Clinical Research Center for Cardiovascular Diseases, Beijing Anzhen Hospital, Capital Medical University, Beijing, 100029, China
- Beijing Institute of Heart Lung and Blood Vessel Disease, Beijing, 100029, China
| | - Huahui Yu
- Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, National Clinical Research Center for Cardiovascular Diseases, Beijing Anzhen Hospital, Capital Medical University, Beijing, 100029, China
- Beijing Institute of Heart Lung and Blood Vessel Disease, Beijing, 100029, China
| | - Yan Luo
- Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, National Clinical Research Center for Cardiovascular Diseases, Beijing Anzhen Hospital, Capital Medical University, Beijing, 100029, China
- Beijing Institute of Heart Lung and Blood Vessel Disease, Beijing, 100029, China
| | - Yu Wang
- Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, National Clinical Research Center for Cardiovascular Diseases, Beijing Anzhen Hospital, Capital Medical University, Beijing, 100029, China
- Beijing Institute of Heart Lung and Blood Vessel Disease, Beijing, 100029, China
| | - Haili Sun
- Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, National Clinical Research Center for Cardiovascular Diseases, Beijing Anzhen Hospital, Capital Medical University, Beijing, 100029, China
- Beijing Institute of Heart Lung and Blood Vessel Disease, Beijing, 100029, China
| | - Chaowei Hu
- Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, National Clinical Research Center for Cardiovascular Diseases, Beijing Anzhen Hospital, Capital Medical University, Beijing, 100029, China
- Beijing Institute of Heart Lung and Blood Vessel Disease, Beijing, 100029, China
| | - Jianping Li
- Department of Cardiology, Peking University First Hospital, Beijing, 100034, China
| | - Ya Yang
- Suzhou Municipal Hospital, Suzhou, 215002, Jiangsu Province, China
| | - Xiaolu Jiao
- Key Laboratory of Cardiovascular Intervention and Regenerative Medicine of Zhejiang Province, Department of Cardiology, College of Medicine, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, 310020, Zhejiang Province, China
| | - Luya Wang
- Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, National Clinical Research Center for Cardiovascular Diseases, Beijing Anzhen Hospital, Capital Medical University, Beijing, 100029, China.
- Beijing Institute of Heart Lung and Blood Vessel Disease, Beijing, 100029, China.
| | - Yanwen Qin
- Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, National Clinical Research Center for Cardiovascular Diseases, Beijing Anzhen Hospital, Capital Medical University, Beijing, 100029, China.
- Beijing Institute of Heart Lung and Blood Vessel Disease, Beijing, 100029, China.
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