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Abstract Title
Prospective Cohort Study of First-Trimester Plasma Asprosin and HbA1c as Predictors of Gestational Diabetes Mellitus (ASPRO-GDM)
Presentation Type
Poster Presentation
Type Reference
Scientific Research Abstract
Abstract Category
Diabetes
Author's Information
Number of Authors (including submitting/presenting author) *
5
No more than 15 authors can be listed (as per the Good Publication Practice (GPP) Guidelines).
Please ensure the authors are listed in the right order.
Co-author 1
Sathaphone Inthavong sathaphone.itv@gmail.com Chiang Mai University Department of Obstetrics and Gynecology, Faculty of Medicine Chiang Mai Thailand *
Co-author 2
Phudit Jatavan phudit.jat@cmu.ac.th Chiang Mai University Fetal Center, Faculty of Medicine Chiang Mai Thailand - Chiang Mai University Department of Obstetrics and Gynecology, Faculty of Medicine Chiang Mai Thailand
Co-author 3
Theera Tongsong theera.t@cmu.ac.th Chiang Mai University Fetal Center, Faculty of Medicine Chiang Mai Thailand - Chiang Mai University Department of Obstetrics and Gynecology, Faculty of Medicine Chiang Mai Thailand
Co-author 4
Sirinart Kumfu sirinart.kum@cmu.ac.th Chiang Mai University Cardiac Electrophysiology Research and Training Center, Faculty of Medicine Chiang Mai Thailand - Chiang Mai University Cardiac Electrophysiology Unit, Department of Physiology, Faculty of Medicine Chiang Mai Thailand Chiang Mai University Center of Excellence in Cardiac Electrophysiology Research Chiang Mai Thailand
Co-author 5
Nipon Chattipakorn nipon.chat@cmu.ac.th Chiang Mai University Cardiac Electrophysiology Research and Training Center, Faculty of Medicine Chiang Mai Thailand - Chiang Mai University Cardiac Electrophysiology Unit, Department of Physiology, Faculty of Medicine Chiang Mai Thailand Chiang Mai University Center of Excellence in Cardiac Electrophysiology Research Chiang Mai Thailand
Co-author 6
Co-author 7
Co-author 8
Co-author 9
Co-author 10
Co-author 11
Co-author 12
Co-author 13
Co-author 14
Co-author 15
Abstract Content
Background and aims *
Gestational diabetes mellitus (GDM) is a common pregnancy complication that increases maternal and fetal risks. Early detection through reliable biomarkers may enable timely intervention. Asprosin, a newly identified adipokine, shows potential as a predictor of GDM but has not been evaluated in the first trimester. Glycated hemoglobin (HbA1c), reflecting average blood glucose over 2–3 months, may also assist in assessing early glycemic status. This study aimed to evaluate the performance of first-trimester asprosin and HbA1c levels in predicting GDM.
Methods *
This prospective cohort study was conducted on singleton pregnant women at 10–13⁺⁶ weeks of gestation at Chiang Mai University Hospital between February and November 2025. Women with pre-gestational diabetes, first-trimester HbA1c ≥6.5%, or the use of glucose-affecting medications were excluded. Clinical data, such as maternal age, body mass index (BMI), obstetric history, and medical risk factors, were collected. Blood samples were obtained for asprosin measurement using an enzyme-linked immunosorbent assay and for HbA1c assessment using a turbidimetric inhibition immunoassay. Participants underwent GDM screening and diagnosis at 24–28 weeks of gestation using a two-step approach, as a gold standard. Univariable and multivariable models incorporating asprosin, HbA1c, and relevant clinical factors were constructed and their predictive performance compared using receiver operating characteristic (ROC) analysis.
Results *
A total of 190 women were enrolled, of whom 67 (35.3%) were diagnosed with GDM. Women who developed GDM were significantly older (p=0.002) and had higher BMI (p=0.010) and pre-pregnancy weight (p=0.002) compared with those without GDM. A first-degree family history of diabetes (p=0.023) and a history of dyslipidemia (p=0.006) were also more frequent in the GDM group. First-trimester HbA1c levels were significantly higher in the GDM group (5.3±0.4% vs. 5.1±0.3%, p<0.001), whereas asprosin levels did not differ significantly, although they tended to be lower (57.6±16.9 vs. 60.9±20.1 ng/mL, p=0.253). In ROC analysis, HbA1c demonstrated moderate predictive ability (AUC=0.623), while asprosin showed limited predictive value (AUC=0.519). The combined model incorporating HbA1c, age, and BMI improved prediction (AUC=0.723), whereas adding asprosin did not yield additional benefit.
Conclusions *
First-trimester asprosin offers minimal predictive value for GDM and is not suitable for screening purposes, whereas HbA1c provides moderate accuracy. Combining HbA1c with maternal age and BMI further enhances early GDM prediction.
Keyword(s)
Gestational diabetes mellitus, asprosin, glycated hemoglobin, HbA1c, biomarker, prediction
Figure 1
https://storage.unitedwebnetwork.com/files/1305/63213fe8a037c3fb1c1e4357df0b80dc.jpg
Figure 1 Caption
ROC curve for first-trimester asprosin, HbA1c, and the model in predicting GDM
Total Word Count
396
Presenting Author First Name
Sathaphone
Presenting Author Last Name
Inthavong
Presenting Author Email
sathaphone.itv@gmail.com
Country (Internal Use)
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