Article
Endocrinology & Metabolism
Qingwen He, Mengyuan Lin, Zhenhong Wu, Renqiang Yu
Summary: This study aimed to predict gestational diabetes mellitus (GDM) by detecting GPR120 expression levels in early pregnancy and constructing a model. Results from 250 pregnant women showed higher GPR120 levels in GDM patients during the first trimester. The nomogram incorporating GPR120 levels demonstrated good predictive ability for the onset of GDM.
FRONTIERS IN ENDOCRINOLOGY
(2023)
Article
Medicine, General & Internal
Olga Buerger, Tania Elger, Antonia Varthaliti, Argyro Syngelaki, Alan Wright, Kypros H. Nicolaides
Summary: In this study, we found that maternal characteristics and medical history can be used to predict the risk of Gestational Diabetes Mellitus (GDM), with a higher risk in twin pregnancies. Factors such as maternal age, weight, family history, racial background, and conception method all influence the risk of GDM.
JOURNAL OF CLINICAL MEDICINE
(2021)
Article
Medicine, General & Internal
Zagorka Milovanovic, Dejan Filimonovic, Ivan Soldatovic, Natasa Karadzov Orlic
Summary: This study assessed the clinical utility of subclinical hypothyroidism (SCH) marker, elevated thyroid-stimulating hormone (TSH), and thyroid antibodies in predicting gestational diabetes mellitus (GDM). The results showed a positive correlation between increased TSH levels and the presence of thyroid antibodies with the risk of GDM. Patient age, TSH 4 IU/mL, and anti TPO Ab > 35 IU/mL were identified as significant predictors of GDM, improving the screening performance in the first trimester of pregnancy.
JOURNAL OF CLINICAL MEDICINE
(2022)
Article
Endocrinology & Metabolism
Dora Gerszi, Gergo Orosz, Marianna Torok, Balazs Szalay, Gellert Karvaly, Laszlo Orosz, Judit Hetthessy, Barna Vasarhelyi, Olga Torok, Eszter M. Horvath, Szabolcs Varbiro
Summary: This study identifies markers in the blood that are associated with the development of gestational diabetes mellitus (GDM) later in pregnancy. By establishing a prediction model, the development of later-onset GDM can be accurately predicted, allowing for targeted prevention and timely treatment to reduce the lifelong metabolic risk for both mother and offspring.
JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM
(2023)
Article
Obstetrics & Gynecology
Lixia Shen, Daljit S. Sahota, Piya Chaemsaithong, Wing Ting Tse, Man Yan Chung, Jeffery Ka Him Ip, Tak Yeung Leung, Liona Chiu Yee Poon
Summary: This study aimed to identify risk factors for the development of gestational diabetes mellitus (GDM) using a prediction model that combines maternal characteristics, obstetric history, and preeclampsia-specific biomarkers. The results showed that the prediction model combining maternal characteristics and obstetric history had better performance than the models using only maternal characteristics or preeclampsia-specific biomarkers. The inclusion of mean arterial pressure (MAP) did not improve the screening performance for GDM. Further studies are needed to explore the effect of blood pressure control on preventing GDM from early pregnancy.
FETAL DIAGNOSIS AND THERAPY
(2022)
Article
Obstetrics & Gynecology
Cihan Cetin, Nur Dokuzeylul Gungor, Melike Yavuz
Summary: HbA1c shows promise as a biomarker for screening GDM during the first trimester of pregnancy, with a cut-off value of 5.33%, sensitivity of 71.9%, and specificity of 82.8%. Pregnant women with ft-HbA1c levels above the prediabetes limit are at increased risk of developing GDM.
TAIWANESE JOURNAL OF OBSTETRICS & GYNECOLOGY
(2021)
Article
Obstetrics & Gynecology
Fieke van Hoorn, Maria P. H. Koster, Anneke Kwee, Floris Groenendaal, Arie Franx, Mireille N. Bekker
Summary: Improving the accuracy of identifying women at risk of developing gestational diabetes mellitus (GDM) is important for better outcomes. This study successfully implemented a prognostic model for GDM risk assessment, which was well received by healthcare professionals and pregnant women. Prognostic models should be recommended for adoption in guidelines.
BMC PREGNANCY AND CHILDBIRTH
(2021)
Article
Endocrinology & Metabolism
Samantha F. Ehrlich, Assiamira Ferrara, Monique M. Hedderson, Juanran Feng, Romain Neugebauer
Summary: Exercise during the first trimester of pregnancy reduces the risks of abnormal screening and gestational diabetes mellitus (GDM). The study suggests that engaging in at least 38 minutes of moderate-intensity exercise per day may help prevent GDM.
Article
Endocrinology & Metabolism
Ling Lu, Chanyu Li, Jie Deng, Jianbo Luo, Chaolin Huang
Summary: This study investigated the potential relationship between serum NGAL levels in the first trimester of pregnancy and later GDM risk, and evaluated the performance of serum NGAL as a biomarker for the prediction of GDM. The results showed that serum NGAL levels in the first trimester of pregnancy were positively associated with an increased risk of GDM, and the GDM risk prediction model constructed using serum NGAL levels performed well.
FRONTIERS IN ENDOCRINOLOGY
(2022)
Article
Endocrinology & Metabolism
Cecilia Legare, Veronique Desgagne, Kathrine Thibeault, Frederique White, Andree-Anne Clement, Cedrik Poirier, Zhong Cheng Luo, Michelle S. Scott, Pierre-Etienne Jacques, Patrice Perron, Renee Guerin, Marie-France Hivert, Luigi Bouchard
Summary: The study aims to identify and predict plasmatic miRNAs associated with and predictive of GDM during the first trimester of pregnancy. Next-generation sequencing was used to quantify miRNA in discovery and replication cohorts. Seventeen miRNAs were identified as being associated with GDM development in both cohorts, and certain miRNAs showed slightly better prediction performance than classic GDM risk factors. Combining miRNAs and classic risk factors further improved the prediction values.
FRONTIERS IN ENDOCRINOLOGY
(2022)
Article
Endocrinology & Metabolism
Cheng Liu, Yuanyuan Wang, Wei Zheng, Jia Wang, Ya Zhang, Wei Song, Aili Wang, Xu Ma, Guanghui Li
Summary: This study found that women with GDM had elevated levels of serum putrescine in the first trimester. Circulating putrescine may serve as a valuable predictive biomarker for GDM.
FRONTIERS IN ENDOCRINOLOGY
(2021)
Article
Endocrinology & Metabolism
Delia Bogdanet, Michelle Toth Castillo, Helen Doheny, Louise Dervan, Miguel Angel Luque-Fernandez, Jose Halperin, Paula M. O'Shea, Fidelma P. Dunne
Summary: This study evaluated the predictive ability of first trimester plasma glycated CD59 (pGCD59) for gestational diabetes mellitus (GDM). The results showed that pGCD59 may be a good predictor for GDM in women with a high BMI and a fair predictor for GDM diagnosed by an elevated fasting plasma glucose (FPG) independent of BMI.
DIABETES RESEARCH AND CLINICAL PRACTICE
(2022)
Article
Endocrinology & Metabolism
Rongjing An, Shujuan Ma, Na Zhang, Huijun Lin, Tianyu Xiang, Mengshi Chen, Hongzhuan Tan
Summary: This study found that the early AST/ALT level of pregnant women is negatively correlated with the risk of gestational diabetes mellitus (GDM). A nomogram model including AST/ALT, maternal age, and other factors showed good predictive ability for the occurrence of GDM.
FRONTIERS IN ENDOCRINOLOGY
(2022)
Article
Medicine, General & Internal
Murat Sahin, Ayten Oguz, Dilek Tuzun, Okay Isiktas, Songul Isiktas, Cansu ulgen, Hatice Sahin, Kamile Gul
Summary: This study aimed to investigate whether the neutrophil-lymphocyte ratio (NLR), an indicator of systemic inflammation, could predict gestational diabetes mellitus (GDM). The results showed a significant increase in NLR in the 1st and 3rd trimesters in the GDM group, supporting the presence of systemic inflammation in early pregnancy and throughout pregnancy. The study also found a positive correlation between NLR and fasting plasma glucose and body mass index in both trimesters. The first trimester NLR was found to independently predict the development of GDM.
Article
Biochemistry & Molecular Biology
Ilona Hromadnikova, Katerina Kotlabova, Ladislav Krofta
Summary: This study found that cardiovascular disease-associated microRNAs have potential as early biomarkers for predicting gestational diabetes mellitus (GDM), and combining them with clinical characteristics improves the accuracy of prediction.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2022)
Letter
Dermatology
Jonathan P. Andrews, Jaana Marttala, Edward Macarak, Joel Rosenbloom, Jouni Uitto
JOURNAL OF INVESTIGATIVE DERMATOLOGY
(2015)
Article
Endocrinology & Metabolism
Anna Yliniemi, Mona-Marika Nurkkala, Sanni Kopman, Teemu Korpimaki, Heikki Kouru, Markku Ryynanen, Jaana Marttala
METABOLISM-CLINICAL AND EXPERIMENTAL
(2015)
Review
Biochemistry & Molecular Biology
Jaana Marttala, Jonathan P. Andrews, Joel Rosenbloom, Jouni Uitto
Review
Biochemistry & Molecular Biology
Jonathan P. Andrews, Jaana Marttala, Edward Macarak, Joel Rosenbloom, Jouni Uitto
Article
Obstetrics & Gynecology
Julia Alanen, Markku Leskinen, Mikko Sairanen, Teemu Korpimaki, Heikki Kouru, Mika Gissler, Markku Ryynanen, Jaana Nevalainen
JOURNAL OF MATERNAL-FETAL & NEONATAL MEDICINE
(2019)
Article
Obstetrics & Gynecology
Jaana Nevalainen, Sini Skarp, Eeva-Riitta Savolainen, Markku Ryyannen, Jouko Jarvenpaa
JOURNAL OF PERINATAL MEDICINE
(2017)
Article
Endocrinology & Metabolism
Jaana Nevalainen, Teemu Korpimaki, Heikki Kouru, Mikko Sairanen, Markku Ryynanen
METABOLISM-CLINICAL AND EXPERIMENTAL
(2017)
Article
Obstetrics & Gynecology
Julia Alanen, Teemu Korpimaki, Heikki Kouru, Mikko Sairanen, Markku Leskinen, Mika Gissler, Markku Ryynanen, Jaana Nevalainen
JOURNAL OF MATERNAL-FETAL & NEONATAL MEDICINE
(2019)
Article
Obstetrics & Gynecology
Jaana Neyalainen, Jaakko Ignatius, E-R Sayolainen, Markku Ryynanen, Jouko Jarvenpaa
EUROPEAN JOURNAL OF OBSTETRICS & GYNECOLOGY AND REPRODUCTIVE BIOLOGY
(2018)
Article
Obstetrics & Gynecology
S. Pitkanen, P. Laitinen, A. Yla-Outinen, M. Heikkila, T. Honkasalo, M. Ryynanen, J. Marttala
JOURNAL OF OBSTETRICS AND GYNAECOLOGY
(2015)
Article
Genetics & Heredity
Elina Keikkala, Jenni K. Ranta, Piia Vuorela, Reetta Leinonen, Hannele Laivuori, Sari Vaisanen, Jaana Marttala, Jarkko Romppanen, Kari Pulkki, Ulf-Hakan Stenman, Seppo Heinonen
PRENATAL DIAGNOSIS
(2014)
Article
Obstetrics & Gynecology
Sammeli West, Meri-Maija Ollila, Stephen Franks, Terhi Piltonen, Jari Jokelainen, Jaana Nevalainen, Katri Puukka, Aimo Ruokonen, Marjo-Riitta Jarvelin, Juha Auvinen, Juha S. Tapanainen, Laure Morin-Papunen
ACTA OBSTETRICIA ET GYNECOLOGICA SCANDINAVICA
(2020)
Article
Peripheral Vascular Disease
Juhani S. S. Rantakallio, Jaana E. Nevalainen, Sammeli West, Meri-Maija Ollila, Katri Puukka, Aini H. Bloigu, Marjo-Riitta Jarvelin, Juha S. Tapanainen, Stephen Franks, Leo Dunkel, Terhi T. Piltonen, Marja S. Vaarasmaki, Laure C. Morin-Papunen
Summary: This study found that obesity, especially abdominal obesity, and weight gain from adolescence to age 46 were associated with an increased risk of hypertensive disorders of pregnancy (HDP), while self-reported PCOS or hyperandrogenemia were not.
Article
Obstetrics & Gynecology
Tiina Kantomaa, Marja Vaarasmaki, Mika Gissler, Mikko Sairanen, Jaana Nevalainen
Summary: This study evaluated the effectiveness of different cut-off values of first trimester pregnancy associated plasma protein-A (PAPP-A) in screening for adverse pregnancy outcomes. The results showed that pregnant women with PAPP-A ≤ 0.40 MoM were more likely to experience small for gestational age (SGA), preterm birth (PTB), and composite adverse pregnancy outcomes. Based on the findings, it is recommended to use PAPP-A ≤ 0.40 MoM as the primary screening cut-off.
JOURNAL OF PERINATAL MEDICINE
(2023)