Publication:
Metabolomic profile associated with obstructive sleep apnoea severity in obese pregnant women with gestational diabetes mellitus: A pilot study

dc.contributor.authorSirimon Reutrakulen_US
dc.contributor.authorHui Chenen_US
dc.contributor.authorNaricha Chirakalwasanen_US
dc.contributor.authorSuranut Charoensrien_US
dc.contributor.authorEkasitt Wanitcharoenkulen_US
dc.contributor.authorSomvang Amnakkittikulen_US
dc.contributor.authorSunee Saetungen_US
dc.contributor.authorBrian T. Laydenen_US
dc.contributor.authorGeorge E. Chlipalaen_US
dc.contributor.otherJesse Brown VA Medical Centeren_US
dc.contributor.otherUniversity of Illinois at Chicagoen_US
dc.contributor.otherKing Chulalongkorn Memorial Hospitalen_US
dc.contributor.otherFaculty of Medicine Ramathibodi Hospital, Mahidol Universityen_US
dc.contributor.otherFaculty of Medicine, Chulalongkorn Universityen_US
dc.date.accessioned2022-08-04T11:14:56Z
dc.date.available2022-08-04T11:14:56Z
dc.date.issued2021-10-01en_US
dc.description.abstractObstructive sleep apnoea (OSA) is prevalent in obese women with gestational diabetes mellitus (GDM). The present pilot study explored associations between OSA severity and metabolites in women with GDM. A total of 81 obese women with diet-controlled GDM had OSA assessment (median gestational age [GA] 29 weeks). The metabolic profile was assayed from fasting serum samples via liquid chromatography–mass spectrometry (LC-MS) using an untargeted approach. Metabolites were extracted and subjected to an Agilent 1,290 UPLC coupled to an Agilent 6,545 quadrupole time-of-flight (Q-TOF) MS. Data were acquired using electrospray ionisation in positive and negative ion modes. The raw LC-MS data were processed using the OpenMS toolkit to detect and quantify features, and these features were annotated using the Human Metabolite Database. The feature data were compared with OSA status, apnea–hypopnea index (AHI), body mass index (BMI) and GA using “limma” in R. Correlation analyses of the continuous covariates were performed using Kendall’s Tau test. The p values were adjusted for multiple testing using the Benjamini–Hochberg false discovery rate correction. A total of 42 women (51.8%) had OSA, with a median AHI of 9.1 events/hr. There were no significant differences in metabolomics profiles between those with and without OSA. However, differential analyses modelling in GA and BMI found 12 features that significantly associated with the AHI. These features could be annotated to oestradiols, lysophospholipids, and fatty acids, with higher levels related to higher AHI. Metabolites including oestradiols and phospholipids may be involved in pathogenesis of OSA in pregnant women with GDM. A targeted approach may help elucidate our understanding of their role in OSA in this population.en_US
dc.identifier.citationJournal of Sleep Research. Vol.30, No.5 (2021)en_US
dc.identifier.doi10.1111/jsr.13327en_US
dc.identifier.issn13652869en_US
dc.identifier.issn09621105en_US
dc.identifier.other2-s2.0-85103924071en_US
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/123456789/78896
dc.rightsMahidol Universityen_US
dc.rights.holderSCOPUSen_US
dc.source.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85103924071&origin=inwarden_US
dc.subjectNeuroscienceen_US
dc.titleMetabolomic profile associated with obstructive sleep apnoea severity in obese pregnant women with gestational diabetes mellitus: A pilot studyen_US
dc.typeArticleen_US
dspace.entity.typePublication
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85103924071&origin=inwarden_US

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