Metabolomics Application in Maternal-Fetal Medicine

Fanos, Vassilios; Atzori, Luigi; Makarenko, Karina; Melis, Gian Benedetto; Ferrazzi, Enrico

doi:10.1155/2013/720514

Cited by 93 publications

(70 citation statements)

References 42 publications

(54 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…It is a robust, rapid, and efficient method to analyze a large number of small molecules in tissues, urine, blood and other biological fluids. This approach is well suited to find biomarkers for the prediction, diagnosis, and monitoring of several diseases including metabolic disorders like GDM [30]. It can also help to better understand physiologic and pathophysiologic processes on a molecular level and, as such, in a more detailed manner.…”

Section: Introductionmentioning

confidence: 99%

Fetal Serum Metabolites Are Independently Associated with Gestational Diabetes Mellitus

Reichetzeder

Prehn

et al. 2018

Cell Physiol Biochem

View full text Add to dashboard Cite

Background/Aims: Gestational diabetes (GDM) might be associated with alterations in the metabolomic profile of affected mothers and their offspring. Until now, there is a paucity of studies that investigated both, the maternal and the fetal serum metabolome in the setting of GDM. Mounting evidence suggests that the fetus is not just passively affected by gestational disease but might play an active role in it. Metabolomic studies performed in maternal blood and fetal cord blood could help to better discern distinct fetal from maternal disease interactions. Methods: At the time of birth, serum samples from mothers and newborns (cord blood samples) were collected and screened for 163 metabolites utilizing tandem mass spectrometry. The cohort consisted of 412 mother/child pairs, including 31 cases of maternal GDM. Results: An initial non-adjusted analysis showed that eight metabolites in the maternal blood and 54 metabolites in the cord blood were associated with GDM. After Benjamini-Hochberg (BH) procedure and adjustment for confounding factors for GDM, fetal phosphatidylcholine acyl-alkyl C 32:1 and proline still showed an independent association with GDM. Conclusions: This study found metabolites in cord blood which were associated with GDM, even after adjustment for established risk factors of GDM. To the best of our knowledge, this is the first study demonstrating an independent association between fetal

show abstract

Section: Introductionmentioning

confidence: 99%

Fetal Serum Metabolites Are Independently Associated with Gestational Diabetes Mellitus

Reichetzeder

Prehn

et al. 2018

Cell Physiol Biochem

View full text Add to dashboard Cite

show abstract

“…The current literature demonstrates the use of metabolomic profiling in the assessment of plasma, serum, urine, breast milk or amniotic fluid in the fasting, post-glucose load or postprandial state [14]. Recent investigations have also suggested combining metabolomics and the OGTT as an effective method of revealing unique metabolic phenotypes [15-17].…”

Section: Introductionmentioning

confidence: 99%

A systematic review of metabolite profiling in gestational diabetes mellitus

2014

View full text Add to dashboard Cite

Aims/hypothesis Gestational diabetes mellitus is associated with adverse maternal and fetal outcomes during, as well as subsequent to, pregnancy, including increased risk of type 2 diabetes and cardiovascular disease. Because of the importance of early risk stratification in preventing these complications, improved first-trimester biomarker determination for diagnosing gestational diabetes would enhance our ability to optimise both maternal and fetal health. Metabolomic profiling, the systematic study of small molecule products of biochemical pathways, has shown promise in the identification of key metabolites associated with the pathogenesis of several metabolic diseases, including gestational diabetes. This article provides a systematic review of the current state of research on biomarkers and gestational diabetes and discusses the clinical relevance of metabolomics in the prediction, diagnosis and management of gestational diabetes. Methods We conducted a systematic search of MEDLINE (PubMed) up to the end of February 2014 using the key term combinations of 'metabolomics,' 'metabonomics,' 'nuclear magnetic spectroscopy,' 'mass spectrometry,' 'metabolic profiling' and 'amino acid profile' combined (AND) with 'gestational diabetes'. Additional articles were identified through searching the reference lists from included studies. Quality assessment of included articles was conducted through the use of QUADOMICS. Results This systematic review included 17 articles. The biomarkers most consistently associated with gestational diabetes were asymmetric dimethylarginine and NEFAs. After QUADOMICS analysis, 13 of the 17 included studies were classified as 'high quality'. Conclusions/interpretation Existing metabolomic studies of gestational diabetes present inconsistent findings regarding metabolite profile characteristics. Further studies are needed in larger, more racially/ethnically diverse populations.

show abstract

“…Metabolomic analysis of AF has been reported by several other groups for the identification of possible AF biomarkers that could have a predictive value in prenatal malformation detection [36]. Chi Y et al have analyzed the AF of neural tube defects patients, showing how the metabolic changes of carbohydrates, nucleotides and amino acids might be associated with impaired fetal growth and development [37].…”

Section: Discussionmentioning

confidence: 99%