Maternal Blood-Based Protein Biomarkers in Relation to Abdominal Fat Distribution Measured by Ultrasound in Early Mid-Pregnancy

Lindberger, Emelie; Wikström, Anna‐Karin; Poromaa, Inger Sundström; Ahlsson, Fredrik

doi:10.1007/s43032-022-00876-4

Cited by 2 publications

(1 citation statement)

References 47 publications

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“…We are unaware of previous studies of pregnancy cohorts using this Olink metabolism linked multiplex biomarkers analysis. Several previous studies of pregnancy cohorts using Olink cardiovascular I/II or inflammation panel, have found maternal circulating Olink biomarkers differed by preeclampsia subtypes [ 22 ], associated with cord blood leukocyte telomere length [ 23 ], and in relation to abdominal fat distribution [ 24 ].…”

Section: Discussionmentioning

confidence: 99%

Maternal circulating metabolic biomarkers and their prediction performance for gestational diabetes mellitus related macrosomia

Yuan

Zhu

Yao

et al. 2023

BMC Pregnancy Childbirth

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Introduction Gestational diabetes mellitus (GDM), a metabolism-related pregnancy complication, is significantly associated with an increased risk of macrosomia. We hypothesized that maternal circulating metabolic biomarkers differed between women with GDM and macrosomia (GDM-M) and women with GDM and normal neonatal weight (GDM-N), and had good prediction performance for GDM-M. Methods Plasma samples from 44 GDM-M and 44 GDM-N were analyzed using Olink Proseek multiplex metabolism assay targeting 92 biomarkers. Combined different clinical characteristics and Olink markers, LASSO regression was used to optimize variable selection, and Logistic regression was applied to build a predictive model. Nomogram was developed based on the selected variables visually. Receiver operating characteristic (ROC) curve, calibration plot, and clinical impact curve were used to validate the model. Results We found 4 metabolism-related biomarkers differing between groups [CLUL1 (Clusterin-like protein 1), VCAN (Versican core protein), FCRL1 (Fc receptor-like protein 1), RNASE3 (Eosinophil cationic protein), FDR < 0.05]. Based on the different clinical characteristics and Olink markers, a total of nine predictors, namely pre-pregnancy body mass index (BMI), weight gain at 24 gestational weeks (gw), parity, oral glucose tolerance test (OGTT) 2 h glucose at 24 gw, high-density lipoprotein (HDL) and low-density lipoprotein (LDL) at 24 gw, and plasma expression of CLUL1, VCAN and RNASE3 at 24 gw, were identified by LASSO regression. The model constructed using these 9 predictors displayed good prediction performance for GDM-M, with an area under the ROC of 0.970 (sensitivity = 0.955, specificity = 0.886), and was well calibrated (PHosmer-Lemeshow test = 0.897). Conclusion The Model included pre-pregnancy BMI, weight gain at 24 gw, parity, OGTT 2 h glucose at 24 gw, HDL and LDL at 24 gw, and plasma expression of CLUL1, VCAN and RNASE3 at 24 gw had good prediction performance for predicting macrosomia in women with GDM.

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Section: Discussionmentioning

confidence: 99%

Maternal circulating metabolic biomarkers and their prediction performance for gestational diabetes mellitus related macrosomia

Yuan

Zhu

Yao

et al. 2023

BMC Pregnancy Childbirth

View full text Add to dashboard Cite

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Evaluation of Pregnancies with Pre-existing Hypertension and Diabetes

Qaiser

John

Ali

et al. 2022

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The complications in pregnancy can happen due to diabetes and hypertension which may affect the mother or the fetus. Objective: To evaluate pregnancy in hypertensive and diabetic pregnant women to detect associated risk factors and complications. Methods:The research was a cross-sectional method of study, conducted over 4 months from December 2021 to March 2022 in a private hospital in Gujranwala, Pakistan. A sample size of 50 was considered as per convenience. The data was analyzed using SPSS V20 software. The age of patients considered was minimum 18 years to maximum 50 years . The scan was done using greyscale type 2D Mindary ultrasound equipment. A written consent form was also taken from patients. Results: The results showed that 15(30%) patients were presented with diabetes mellitus, 32(64%) has hypertension and 3(6%) has both hypertension and diabetes mellitus. The complications included low lying placenta and placental abruption in 1(2%), polyhydramnios in 3(6%) and oligohydramnios in 1(2%). Microcephaly was found in 1(2%) and hydrocephalus was seen in 2(4%). Fetal abortion was found in 7(14%) and only 3(6%) have chance of having a fetus with abnormalities due to hypertension and diabetes whereas most of them have normal birth 43(86%) with no complications. Conclusion: In conclusion, the majority of women with diabetes mellitus and hypertension can have a normal pregnancy and birth, but some may face difficulties such as intrauterine fetal mortality, fetal congenital abnormalities and defects and still birth

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Maternal Blood-Based Protein Biomarkers in Relation to Abdominal Fat Distribution Measured by Ultrasound in Early Mid-Pregnancy

Cited by 2 publications

References 47 publications

Maternal circulating metabolic biomarkers and their prediction performance for gestational diabetes mellitus related macrosomia

Maternal circulating metabolic biomarkers and their prediction performance for gestational diabetes mellitus related macrosomia

Evaluation of Pregnancies with Pre-existing Hypertension and Diabetes

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