Please use this identifier to cite or link to this item: https://repository.monashhealth.org/monashhealthjspui/handle/1/38331
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dc.contributor.authorDe Courten B.en
dc.contributor.authorHarrison C.L.en
dc.contributor.authorHiam D.en
dc.contributor.authorMoreno-Asso A.en
dc.contributor.authorStepto N.K.en
dc.contributor.authorTeede H.J.en
dc.contributor.authorAbell S.K.en
dc.contributor.authorShorakae S.en
dc.date.accessioned2021-05-14T13:04:22Zen
dc.date.available2021-05-14T13:04:22Zen
dc.date.copyright2017en
dc.date.created20171110en
dc.date.issued2017-11-10en
dc.identifier.citationDiabetes/Metabolism Research and Reviews. 33 (8) (no pagination), 2017. Article Number: e2926. Date of Publication: November 2017.en
dc.identifier.issn1520-7552en
dc.identifier.urihttps://repository.monashhealth.org/monashhealthjspui/handle/1/38331en
dc.description.abstractBackground: To investigate the association of adipocytokines and other inflammatory markers with development of GDM. Method(s): Serum adipocytokines and inflammatory markers were studied at 12 to 15 weeks gestation using biobanked control samples from a randomised trial. Study participants were identified as high risk for GDM using a validated clinical risk prediction tool. Markers were tested using commercial ELISA kits for high molecular weight (HMW) adiponectin, interleukin-6 (IL-6), plasminogen activator inhibitor-1, visfatin, omentin-1, sex-hormone binding globulin, monocyte chemoattractant protein, and asymmetrical dimethylarginine. The association between each biomarker and development of GDM at 24 to 28 weeks was evaluated using multivariable logistic regression analysis adjusted for maternal factors. Result(s): There were no differences in age, parity, country of birth, smoking, body mass index, or family history of diabetes in women with normal glucose tolerance (n = 78) and women who developed GDM (n = 25). Women with GDM were more likely to have a past history of GDM (P = 0.004). HMW adiponectin (odds ratio OR 0.37 [95% confidence interval 0.19-0.74]), omentin-1 (0.97 [0.94-0.99]), and IL-6 (1.87[1.03-3.37]) were associated with development of GDM, after adjustment for maternal age, body mass index, and past history of GDM. The other markers were not associated with GDM development. Conclusion(s): Decreased high molecular weight adiponectin and omentin-1 and increased IL-6 may enhance sensitivity of early risk prediction tools for women at high risk of GDM. This may allow early identification and opportunities for prevention of GDM and adverse outcomes. Further research is required in large validation studies to confirm these results.Copyright © 2017 John Wiley & Sons, Ltd.en
dc.languageEnglishen
dc.languageenen
dc.publisherJohn Wiley and Sons Ltd (Southern Gate, Chichester, West Sussex PO19 8SQ, United Kingdom. E-mail: vgorayska@wiley.com)en
dc.relation.ispartofDiabetes/Metabolism Research and Reviewsen
dc.titleThe association between dysregulated adipocytokines in early pregnancy and development of gestational diabetes.en
dc.typeArticleen
dc.identifier.doihttp://monash.idm.oclc.org/login?url=http://dx.doi.org/10.1002/dmrr.2926en
dc.publisher.placeUnited Kingdomen
dc.identifier.orcidTeede, Helena J.; ORCID: http://orcid.org/0000-0001-7609-577Xen
dc.identifier.pubmedid28806491 [http://www.ncbi.nlm.nih.gov/pubmed/?term=28806491]en
dc.identifier.source618297651en
dc.identifier.institution(Abell, Shorakae, Harrison, De Courten, Teede) Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Clayton, VIC, Australia (Abell, Shorakae, De Courten, Teede) Diabetes and Vascular Medicine Unit, Monash Health, Clayton, VIC, Australia (Hiam, Moreno-Asso, Stepto) Institute of Sport, Exercise and Active Living, Victoria University, Footscray, VIC, Australiaen
dc.description.addressH.J. Teede, Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Clayton, VIC, Australia. E-mail: helena.teede@monash.eduen
dc.description.publicationstatusEmbaseen
dc.rights.statementCopyright 2017 Elsevier B.V., All rights reserved.en
dc.subect.keywordsadipocytokines biomarkers gestational diabetes prediction pregnancyen
dc.identifier.authoremailTeede H.J.; helena.teede@monash.eduen
item.cerifentitytypePublications-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextnone-
item.openairetypeArticle-
crisitem.author.deptInfection Prevention and Epidemiology-
crisitem.author.deptDiabetes and Vascular Medicine-
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