Serum sphingomyelin levels define oxyhemoglobin desaturation-related metabolic threshold in symptomatic obstructive sleep apnea
Hypoxia is a contributing factor for the morbidity and mortality in patients with obstructive sleep apnea (OSA). We aimed at identifying the percentage of sleep time with oxyhemoglobin desaturation below 90% (Tc90%) breakpoint from which the most significant changes occur in systemic metabolome of p...
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Published in | Scientific reports Vol. 15; no. 1; pp. 12533 - 8 |
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11.04.2025
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Abstract | Hypoxia is a contributing factor for the morbidity and mortality in patients with obstructive sleep apnea (OSA). We aimed at identifying the percentage of sleep time with oxyhemoglobin desaturation below 90% (Tc90%) breakpoint from which the most significant changes occur in systemic metabolome of patients with OSA. In a prospective observational study on patients with polysomnography–confirmed symptomatic OSA, profiles of 186 metabolites including amino acids, biogenic amines, acylcarnitines (AC), lysophosphatidylcholines, phosphatidylcholines (PC) and sphingomyelins (SM) were analyzed with liquid chromatography-mass-spectrometry in peripheral blood, obtained at 3 time points that covered patients’ night sleep. Comparisons of rank-transformed data with general linear model for repeated measures after dichotomizing the study group at different Tc90% levels were applied to define the best cut-off, hypoxic metabolic threshold (HMT), based on Cohen’s f. Fifty-one subjects were recruited with their median Tc90% of 2.1. The mean Cohen’s f over the metabolites was highest (0.165) at a Tc90% of 1.8 representing the HMT. Of the different classes of metabolites, the Cohen’s f value at HMT was highest for SM (0.322). Compared to patients with Tc90% < HMT, concentrations of 2 PC, 1 AC and 7 SM were significantly higher in patients with Tc90% ≥HMT. The HMT for patients with OSA described in this report for the first time is located at a Tc90% level of 1.8 with SM levels contributing most to the size of this threshold. |
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AbstractList | Abstract Hypoxia is a contributing factor for the morbidity and mortality in patients with obstructive sleep apnea (OSA). We aimed at identifying the percentage of sleep time with oxyhemoglobin desaturation below 90% (Tc90%) breakpoint from which the most significant changes occur in systemic metabolome of patients with OSA. In a prospective observational study on patients with polysomnography–confirmed symptomatic OSA, profiles of 186 metabolites including amino acids, biogenic amines, acylcarnitines (AC), lysophosphatidylcholines, phosphatidylcholines (PC) and sphingomyelins (SM) were analyzed with liquid chromatography-mass-spectrometry in peripheral blood, obtained at 3 time points that covered patients’ night sleep. Comparisons of rank-transformed data with general linear model for repeated measures after dichotomizing the study group at different Tc90% levels were applied to define the best cut-off, hypoxic metabolic threshold (HMT), based on Cohen’s f. Fifty-one subjects were recruited with their median Tc90% of 2.1. The mean Cohen’s f over the metabolites was highest (0.165) at a Tc90% of 1.8 representing the HMT. Of the different classes of metabolites, the Cohen’s f value at HMT was highest for SM (0.322). Compared to patients with Tc90% < HMT, concentrations of 2 PC, 1 AC and 7 SM were significantly higher in patients with Tc90% ≥HMT. The HMT for patients with OSA described in this report for the first time is located at a Tc90% level of 1.8 with SM levels contributing most to the size of this threshold. Hypoxia is a contributing factor for the morbidity and mortality in patients with obstructive sleep apnea (OSA). We aimed at identifying the percentage of sleep time with oxyhemoglobin desaturation below 90% (Tc90%) breakpoint from which the most significant changes occur in systemic metabolome of patients with OSA. In a prospective observational study on patients with polysomnography–confirmed symptomatic OSA, profiles of 186 metabolites including amino acids, biogenic amines, acylcarnitines (AC), lysophosphatidylcholines, phosphatidylcholines (PC) and sphingomyelins (SM) were analyzed with liquid chromatography-mass-spectrometry in peripheral blood, obtained at 3 time points that covered patients’ night sleep. Comparisons of rank-transformed data with general linear model for repeated measures after dichotomizing the study group at different Tc90% levels were applied to define the best cut-off, hypoxic metabolic threshold (HMT), based on Cohen’s f. Fifty-one subjects were recruited with their median Tc90% of 2.1. The mean Cohen’s f over the metabolites was highest (0.165) at a Tc90% of 1.8 representing the HMT. Of the different classes of metabolites, the Cohen’s f value at HMT was highest for SM (0.322). Compared to patients with Tc90% < HMT, concentrations of 2 PC, 1 AC and 7 SM were significantly higher in patients with Tc90% ≥HMT. The HMT for patients with OSA described in this report for the first time is located at a Tc90% level of 1.8 with SM levels contributing most to the size of this threshold. Hypoxia is a contributing factor for the morbidity and mortality in patients with obstructive sleep apnea (OSA). We aimed at identifying the percentage of sleep time with oxyhemoglobin desaturation below 90% (Tc90%) breakpoint from which the most significant changes occur in systemic metabolome of patients with OSA. In a prospective observational study on patients with polysomnography-confirmed symptomatic OSA, profiles of 186 metabolites including amino acids, biogenic amines, acylcarnitines (AC), lysophosphatidylcholines, phosphatidylcholines (PC) and sphingomyelins (SM) were analyzed with liquid chromatography-mass-spectrometry in peripheral blood, obtained at 3 time points that covered patients' night sleep. Comparisons of rank-transformed data with general linear model for repeated measures after dichotomizing the study group at different Tc90% levels were applied to define the best cut-off, hypoxic metabolic threshold (HMT), based on Cohen's f. Fifty-one subjects were recruited with their median Tc90% of 2.1. The mean Cohen's f over the metabolites was highest (0.165) at a Tc90% of 1.8 representing the HMT. Of the different classes of metabolites, the Cohen's f value at HMT was highest for SM (0.322). Compared to patients with Tc90% < HMT, concentrations of 2 PC, 1 AC and 7 SM were significantly higher in patients with Tc90% ≥HMT. The HMT for patients with OSA described in this report for the first time is located at a Tc90% level of 1.8 with SM levels contributing most to the size of this threshold.Hypoxia is a contributing factor for the morbidity and mortality in patients with obstructive sleep apnea (OSA). We aimed at identifying the percentage of sleep time with oxyhemoglobin desaturation below 90% (Tc90%) breakpoint from which the most significant changes occur in systemic metabolome of patients with OSA. In a prospective observational study on patients with polysomnography-confirmed symptomatic OSA, profiles of 186 metabolites including amino acids, biogenic amines, acylcarnitines (AC), lysophosphatidylcholines, phosphatidylcholines (PC) and sphingomyelins (SM) were analyzed with liquid chromatography-mass-spectrometry in peripheral blood, obtained at 3 time points that covered patients' night sleep. Comparisons of rank-transformed data with general linear model for repeated measures after dichotomizing the study group at different Tc90% levels were applied to define the best cut-off, hypoxic metabolic threshold (HMT), based on Cohen's f. Fifty-one subjects were recruited with their median Tc90% of 2.1. The mean Cohen's f over the metabolites was highest (0.165) at a Tc90% of 1.8 representing the HMT. Of the different classes of metabolites, the Cohen's f value at HMT was highest for SM (0.322). Compared to patients with Tc90% < HMT, concentrations of 2 PC, 1 AC and 7 SM were significantly higher in patients with Tc90% ≥HMT. The HMT for patients with OSA described in this report for the first time is located at a Tc90% level of 1.8 with SM levels contributing most to the size of this threshold. |
ArticleNumber | 12533 |
Author | Taalberg, Egon Altraja, Alan Laurits, Triin Kilk, Kalle Ottas, Aigar Kiens, Ott Soomets, Ursel Veeväli, Ketlin Tamm, Ragne Ivanova, Viktoria |
Author_xml | – sequence: 1 givenname: Ott surname: Kiens fullname: Kiens, Ott email: ott.kiens@kliinikum.ee organization: Department of Pulmonary Medicine, University of Tartu, Lung Clinic, Tartu University Hospital – sequence: 2 givenname: Egon surname: Taalberg fullname: Taalberg, Egon organization: Institute of Biomedicine and Translational Medicine, University of Tartu, Centre of Excellence for Genomics and Translational Medicine, University of Tartu – sequence: 3 givenname: Viktoria surname: Ivanova fullname: Ivanova, Viktoria organization: Lung Clinic, Tartu University Hospital – sequence: 4 givenname: Ketlin surname: Veeväli fullname: Veeväli, Ketlin organization: Psychiatry Clinic, Tartu University Hospital – sequence: 5 givenname: Triin surname: Laurits fullname: Laurits, Triin organization: Psychiatry Clinic, Tartu University Hospital – sequence: 6 givenname: Ragne surname: Tamm fullname: Tamm, Ragne organization: Psychiatry Clinic, Tartu University Hospital – sequence: 7 givenname: Aigar surname: Ottas fullname: Ottas, Aigar organization: Institute of Biomedicine and Translational Medicine, University of Tartu, Centre of Excellence for Genomics and Translational Medicine, University of Tartu – sequence: 8 givenname: Kalle surname: Kilk fullname: Kilk, Kalle organization: Institute of Biomedicine and Translational Medicine, University of Tartu, Centre of Excellence for Genomics and Translational Medicine, University of Tartu – sequence: 9 givenname: Ursel surname: Soomets fullname: Soomets, Ursel organization: Institute of Biomedicine and Translational Medicine, University of Tartu, Centre of Excellence for Genomics and Translational Medicine, University of Tartu – sequence: 10 givenname: Alan surname: Altraja fullname: Altraja, Alan organization: Department of Pulmonary Medicine, University of Tartu, Lung Clinic, Tartu University Hospital |
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Keywords | Metabolome Hypoxia Metabolomic threshold Metabolism Obstructive sleep apnea |
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Snippet | Hypoxia is a contributing factor for the morbidity and mortality in patients with obstructive sleep apnea (OSA). We aimed at identifying the percentage of... Abstract Hypoxia is a contributing factor for the morbidity and mortality in patients with obstructive sleep apnea (OSA). We aimed at identifying the... |
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SubjectTerms | 631/45/320 692/699/1785 Adult Aged Amines Apnea Biogenic amines Chromatography Female Humanities and Social Sciences Humans Hypoxia Hypoxia - blood Liquid chromatography Male Metabolism Metabolites Metabolome Metabolomic threshold Middle Aged Morbidity multidisciplinary Observational studies Obstructive sleep apnea Oxyhemoglobins - metabolism Peripheral blood Polysomnography Prospective Studies Science Science (multidisciplinary) Sleep apnea Sleep Apnea, Obstructive - blood Sleep Apnea, Obstructive - metabolism Sleep disorders Spectrometry Sphingomyelin Sphingomyelins - blood |
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Title | Serum sphingomyelin levels define oxyhemoglobin desaturation-related metabolic threshold in symptomatic obstructive sleep apnea |
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