Abstract
Ceramides contribute to the development of type 2 diabetes but it is uncertain whether they predict gestational diabetes (GDM). In this multicentre case–control study including 1040 women with GDM and 958 non-diabetic controls, early pregnancy (mean 10.7 gestational weeks) concentrations of four ceramides—Cer(d18:1/16:0), Cer(d18:1/18:0), Cer(d18:1/24:0) and Cer(d18:1/24:1)—were determined by a validated mass-spectrometric method from biobanked serum samples. Traditional lipids including total cholesterol, LDL, HDL and triglycerides were measured. Logistic and linear regression and the LASSO logistic regression were used to analyse lipids and clinical risk factors in the prediction of GDM. The concentrations of four targeted ceramides and total cholesterol, LDL and triglycerides were higher and HDL was lower among women with subsequent GDM than among controls. After adjustments, Cer(d18:1/24:0), triglycerides and LDL were independent predictors of GDM, women in their highest quartile had 1.44-fold (95% CI 1.07–1.95), 2.17-fold (95% CI 1.57–3.00) and 1.63-fold (95% CI 1.19–2.24) odds for GDM when compared to their lowest quartiles, respectively. In the LASSO regression modelling ceramides did not appear to markedly improve the predictive performance for GDM alongside with clinical risk factors and triglycerides. However, their adverse alterations highlight the extent of metabolic disturbances involved in GDM.
| Original language | English |
|---|---|
| Article number | 13274 |
| Journal | Scientific Reports |
| Volume | 13 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - Dec 2023 |
| Publication type | A1 Journal article-refereed |
Funding
We thank the research coordinator M. Alaraappana (Northern Finland Laboratory Centre Nordlab, Oulu, Finland), the laboratory assistants S. Kuusiniemi (Biobank Borealis of Northern Finland, Oulu University Hospital, Oulu, Finland) and M. Halmetoja (Zora Biosciences Oy, Espoo, Finland), the members of the FinnGeDi Study Group emeritus professor R. Kaaja (University of Turku, Turku, Finland), professor M. Gissler (Finnish Institute for Health and Welfare, Helsinki, Finland) and adjunt professor A. Pouta (Finnish Institute for Health and Welfare, Helsinki, Finland), and the participants and the research staff of the FinnGeDi study.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Publication forum classification
- Publication forum level 1
ASJC Scopus subject areas
- General
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