First trimester prediction of gestational diabetes mellitus using plasma biomarkers: A case-control study

Paula J. Correa; Pia Venegas; Yasna Palmeiro; Daniela Albers; Gregory Rice; Jaime Roa; Jorge Cortez; Max Monckeberg; Manuel Schepeler; Eduardo Osorio; Sebastian E. Illanes

doi:10.1515/jpm-2018-0120

First trimester prediction of gestational diabetes mellitus using plasma biomarkers: A case-control study

Paula J. Correa^*, Pia Venegas, Yasna Palmeiro, Daniela Albers, Gregory Rice, Jaime Roa, Jorge Cortez, Max Monckeberg, Manuel Schepeler, Eduardo Osorio, Sebastian E. Illanes

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

38 Scopus citations

Abstract

Objectives: To evaluate the first trimester maternal biomarkers for early pregnancy prediction of gestational diabetes mellitus (GDM). Methods: The study was a case-control study of healthy women with singleton pregnancies at the first trimester carried out at the Obstetrics and Gynecology Unit, Clinica Davila, Santiago, Chile. After obtaining informed consent, peripheral blood samples of pregnant women under 14 weeks of gestation were collected. At 24-28 weeks of pregnancy, women were classified as GDM (n=16) or controls (n=80) based on the results of a 75-g oral glucose tolerance test (OGTT). In all women, we measured concentrations of fasting blood glucose, insulin, glycated hemoglobin, uric acid, cholesterol, high density lipoprotein (HDL), low density lipoprotein (LDL), very low density lipoprotein (VLDL), triglycerides, aspartate aminotransferase (AST), alanine aminotransferase (ALT), γ-glutamyl transpeptidase (GGT), alkaline phosphatase (AP), sex hormone-binding globulin (SHBG), adiponectin, tissue plasminogen activator (t-PA), leptin and placental growth factor (PGF). Results: The GDM group displayed an increased median concentration of cholesterol (P=0.04), triglycerides (P=0.003), insulin (P=0.003), t-PA (P=0.0088) and homeostatic model assessment (HOMA) (P=0.003) and an increased mean concentration of LDL (P=0.009) when compared to the control group. The receiver operating characteristic (ROC) curve for significant variables achieved an area under the curve (AUC) of 0.870, a sensitivity of 81.4% and a specificity of 80.0%. The OGTT was positive for GDM according to the IADPSG (International Diabetes in Pregnancy Study Group) criteria. Conclusion: Women who subsequently developed GDM showed higher levels of blood-borne biomarkers during the first trimester, compared to women who did not develop GDM. These data warrant validation in a larger cohort.

Original language	English
Pages (from-to)	161-168
Number of pages	8
Journal	Journal of Perinatal Medicine
Volume	47
Issue number	2
DOIs	https://doi.org/10.1515/jpm-2018-0120
State	Published - 1 Feb 2019

Bibliographical note

Funding Information:
Acknowledgments: We thank the Clinica Davila and the Obstetrics and Gynecology Department and Laboratory staff for their cooperation and for obtaining, storing and processing blood samples. We specially thank Stephanie Acuña from the Universidad of Los Andes Biology of Reproduction Laboratory for processing all the samples. Finally, we would like to acknowledge the contribution of Conicyt through regular FONDECYT code 1140119. Author contributions: Sebastian Illanes developed the original idea for the study, participated in the implementation, recruited patients and acquired the grant for funding. Paula Correa designed, coordinated and implemented the project; supervised the follow-up and evaluated the result and also wrote the report and submitted the article. Pia Venegas coordinated recruitment, interviewed and educated patients, recorded patient data, supervised sample extraction and follow-up and cooperated in results analysis. Yasna Palmeiro, Daniela Albers, Max Monckeberg and Gregory Rice participated in statistical analysis. Gregory Rice also supervised the manuscript development. Jorge Cortez, Jaime Roa, Manuel Schepeler and Eduardo Osorio recruited and followed-up patients. All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission. Research funding: We acknowledge the funding from Conicyt CONICYT, MINSAL, Funder Id: 10.13039/501100002848. Grant Code FONIS SA133i20154. Employment or leadership: None declared. Honorarium: None declared. Competing interests: The funding organization(s) played no role in the study design; in the collection, analysis, and interpretation of data; in the writing of the report; or in the decision to submit the report for publication.

Publisher Copyright:
© 2019 2019 Walter de Gruyter GmbH, Berlin/Boston.

Keywords

HOMA
IADPSG criteria
biomarker
cholesterol
gestational diabetes
insulin
oral glucose tolerance test
prediction
tissue plasminogen activator
triglycerides

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1515/jpm-2018-0120

Cite this

@article{1c5a61be7ddb4422bf59cebc598600ca,

title = "First trimester prediction of gestational diabetes mellitus using plasma biomarkers: A case-control study",

abstract = "Objectives: To evaluate the first trimester maternal biomarkers for early pregnancy prediction of gestational diabetes mellitus (GDM). Methods: The study was a case-control study of healthy women with singleton pregnancies at the first trimester carried out at the Obstetrics and Gynecology Unit, Clinica Davila, Santiago, Chile. After obtaining informed consent, peripheral blood samples of pregnant women under 14 weeks of gestation were collected. At 24-28 weeks of pregnancy, women were classified as GDM (n=16) or controls (n=80) based on the results of a 75-g oral glucose tolerance test (OGTT). In all women, we measured concentrations of fasting blood glucose, insulin, glycated hemoglobin, uric acid, cholesterol, high density lipoprotein (HDL), low density lipoprotein (LDL), very low density lipoprotein (VLDL), triglycerides, aspartate aminotransferase (AST), alanine aminotransferase (ALT), γ-glutamyl transpeptidase (GGT), alkaline phosphatase (AP), sex hormone-binding globulin (SHBG), adiponectin, tissue plasminogen activator (t-PA), leptin and placental growth factor (PGF). Results: The GDM group displayed an increased median concentration of cholesterol (P=0.04), triglycerides (P=0.003), insulin (P=0.003), t-PA (P=0.0088) and homeostatic model assessment (HOMA) (P=0.003) and an increased mean concentration of LDL (P=0.009) when compared to the control group. The receiver operating characteristic (ROC) curve for significant variables achieved an area under the curve (AUC) of 0.870, a sensitivity of 81.4% and a specificity of 80.0%. The OGTT was positive for GDM according to the IADPSG (International Diabetes in Pregnancy Study Group) criteria. Conclusion: Women who subsequently developed GDM showed higher levels of blood-borne biomarkers during the first trimester, compared to women who did not develop GDM. These data warrant validation in a larger cohort.",

keywords = "HOMA, IADPSG criteria, biomarker, cholesterol, gestational diabetes, insulin, oral glucose tolerance test, prediction, tissue plasminogen activator, triglycerides",

author = "Correa, {Paula J.} and Pia Venegas and Yasna Palmeiro and Daniela Albers and Gregory Rice and Jaime Roa and Jorge Cortez and Max Monckeberg and Manuel Schepeler and Eduardo Osorio and Illanes, {Sebastian E.}",

note = "Funding Information: Acknowledgments: We thank the Clinica Davila and the Obstetrics and Gynecology Department and Laboratory staff for their cooperation and for obtaining, storing and processing blood samples. We specially thank Stephanie Acu{\~n}a from the Universidad of Los Andes Biology of Reproduction Laboratory for processing all the samples. Finally, we would like to acknowledge the contribution of Conicyt through regular FONDECYT code 1140119. Author contributions: Sebastian Illanes developed the original idea for the study, participated in the implementation, recruited patients and acquired the grant for funding. Paula Correa designed, coordinated and implemented the project; supervised the follow-up and evaluated the result and also wrote the report and submitted the article. Pia Venegas coordinated recruitment, interviewed and educated patients, recorded patient data, supervised sample extraction and follow-up and cooperated in results analysis. Yasna Palmeiro, Daniela Albers, Max Monckeberg and Gregory Rice participated in statistical analysis. Gregory Rice also supervised the manuscript development. Jorge Cortez, Jaime Roa, Manuel Schepeler and Eduardo Osorio recruited and followed-up patients. All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission. Research funding: We acknowledge the funding from Conicyt CONICYT, MINSAL, Funder Id: 10.13039/501100002848. Grant Code FONIS SA133i20154. Employment or leadership: None declared. Honorarium: None declared. Competing interests: The funding organization(s) played no role in the study design; in the collection, analysis, and interpretation of data; in the writing of the report; or in the decision to submit the report for publication. Publisher Copyright: {\textcopyright} 2019 2019 Walter de Gruyter GmbH, Berlin/Boston.",

year = "2019",

month = feb,

day = "1",

doi = "10.1515/jpm-2018-0120",

language = "English",

volume = "47",

pages = "161--168",

journal = "Journal of Perinatal Medicine",

issn = "0300-5577",

publisher = "Walter de Gruyter GmbH",

number = "2",

}

TY - JOUR

T1 - First trimester prediction of gestational diabetes mellitus using plasma biomarkers

T2 - A case-control study

AU - Correa, Paula J.

AU - Venegas, Pia

AU - Palmeiro, Yasna

AU - Albers, Daniela

AU - Rice, Gregory

AU - Roa, Jaime

AU - Cortez, Jorge

AU - Monckeberg, Max

AU - Schepeler, Manuel

AU - Osorio, Eduardo

AU - Illanes, Sebastian E.

N1 - Funding Information: Acknowledgments: We thank the Clinica Davila and the Obstetrics and Gynecology Department and Laboratory staff for their cooperation and for obtaining, storing and processing blood samples. We specially thank Stephanie Acuña from the Universidad of Los Andes Biology of Reproduction Laboratory for processing all the samples. Finally, we would like to acknowledge the contribution of Conicyt through regular FONDECYT code 1140119. Author contributions: Sebastian Illanes developed the original idea for the study, participated in the implementation, recruited patients and acquired the grant for funding. Paula Correa designed, coordinated and implemented the project; supervised the follow-up and evaluated the result and also wrote the report and submitted the article. Pia Venegas coordinated recruitment, interviewed and educated patients, recorded patient data, supervised sample extraction and follow-up and cooperated in results analysis. Yasna Palmeiro, Daniela Albers, Max Monckeberg and Gregory Rice participated in statistical analysis. Gregory Rice also supervised the manuscript development. Jorge Cortez, Jaime Roa, Manuel Schepeler and Eduardo Osorio recruited and followed-up patients. All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission. Research funding: We acknowledge the funding from Conicyt CONICYT, MINSAL, Funder Id: 10.13039/501100002848. Grant Code FONIS SA133i20154. Employment or leadership: None declared. Honorarium: None declared. Competing interests: The funding organization(s) played no role in the study design; in the collection, analysis, and interpretation of data; in the writing of the report; or in the decision to submit the report for publication. Publisher Copyright: © 2019 2019 Walter de Gruyter GmbH, Berlin/Boston.

PY - 2019/2/1

Y1 - 2019/2/1

N2 - Objectives: To evaluate the first trimester maternal biomarkers for early pregnancy prediction of gestational diabetes mellitus (GDM). Methods: The study was a case-control study of healthy women with singleton pregnancies at the first trimester carried out at the Obstetrics and Gynecology Unit, Clinica Davila, Santiago, Chile. After obtaining informed consent, peripheral blood samples of pregnant women under 14 weeks of gestation were collected. At 24-28 weeks of pregnancy, women were classified as GDM (n=16) or controls (n=80) based on the results of a 75-g oral glucose tolerance test (OGTT). In all women, we measured concentrations of fasting blood glucose, insulin, glycated hemoglobin, uric acid, cholesterol, high density lipoprotein (HDL), low density lipoprotein (LDL), very low density lipoprotein (VLDL), triglycerides, aspartate aminotransferase (AST), alanine aminotransferase (ALT), γ-glutamyl transpeptidase (GGT), alkaline phosphatase (AP), sex hormone-binding globulin (SHBG), adiponectin, tissue plasminogen activator (t-PA), leptin and placental growth factor (PGF). Results: The GDM group displayed an increased median concentration of cholesterol (P=0.04), triglycerides (P=0.003), insulin (P=0.003), t-PA (P=0.0088) and homeostatic model assessment (HOMA) (P=0.003) and an increased mean concentration of LDL (P=0.009) when compared to the control group. The receiver operating characteristic (ROC) curve for significant variables achieved an area under the curve (AUC) of 0.870, a sensitivity of 81.4% and a specificity of 80.0%. The OGTT was positive for GDM according to the IADPSG (International Diabetes in Pregnancy Study Group) criteria. Conclusion: Women who subsequently developed GDM showed higher levels of blood-borne biomarkers during the first trimester, compared to women who did not develop GDM. These data warrant validation in a larger cohort.

AB - Objectives: To evaluate the first trimester maternal biomarkers for early pregnancy prediction of gestational diabetes mellitus (GDM). Methods: The study was a case-control study of healthy women with singleton pregnancies at the first trimester carried out at the Obstetrics and Gynecology Unit, Clinica Davila, Santiago, Chile. After obtaining informed consent, peripheral blood samples of pregnant women under 14 weeks of gestation were collected. At 24-28 weeks of pregnancy, women were classified as GDM (n=16) or controls (n=80) based on the results of a 75-g oral glucose tolerance test (OGTT). In all women, we measured concentrations of fasting blood glucose, insulin, glycated hemoglobin, uric acid, cholesterol, high density lipoprotein (HDL), low density lipoprotein (LDL), very low density lipoprotein (VLDL), triglycerides, aspartate aminotransferase (AST), alanine aminotransferase (ALT), γ-glutamyl transpeptidase (GGT), alkaline phosphatase (AP), sex hormone-binding globulin (SHBG), adiponectin, tissue plasminogen activator (t-PA), leptin and placental growth factor (PGF). Results: The GDM group displayed an increased median concentration of cholesterol (P=0.04), triglycerides (P=0.003), insulin (P=0.003), t-PA (P=0.0088) and homeostatic model assessment (HOMA) (P=0.003) and an increased mean concentration of LDL (P=0.009) when compared to the control group. The receiver operating characteristic (ROC) curve for significant variables achieved an area under the curve (AUC) of 0.870, a sensitivity of 81.4% and a specificity of 80.0%. The OGTT was positive for GDM according to the IADPSG (International Diabetes in Pregnancy Study Group) criteria. Conclusion: Women who subsequently developed GDM showed higher levels of blood-borne biomarkers during the first trimester, compared to women who did not develop GDM. These data warrant validation in a larger cohort.

KW - HOMA

KW - IADPSG criteria

KW - biomarker

KW - cholesterol

KW - gestational diabetes

KW - insulin

KW - oral glucose tolerance test

KW - prediction

KW - tissue plasminogen activator

KW - triglycerides

UR - http://www.scopus.com/inward/record.url?scp=85053149318&partnerID=8YFLogxK

U2 - 10.1515/jpm-2018-0120

DO - 10.1515/jpm-2018-0120

M3 - Article

C2 - 30205647

AN - SCOPUS:85053149318

SN - 0300-5577

VL - 47

SP - 161

EP - 168

JO - Journal of Perinatal Medicine

JF - Journal of Perinatal Medicine

IS - 2

ER -

First trimester prediction of gestational diabetes mellitus using plasma biomarkers: A case-control study

Abstract

Bibliographical note

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this