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Cord blood metabolomic profiling in intrauterine growth restriction

Overview of attention for article published in Analytical & Bioanalytical Chemistry, November 2011
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Title
Cord blood metabolomic profiling in intrauterine growth restriction
Published in
Analytical & Bioanalytical Chemistry, November 2011
DOI 10.1007/s00216-011-5540-z
Pubmed ID
Authors

Donata Favretto, Erich Cosmi, Eugenio Ragazzi, Silvia Visentin, Marianna Tucci, Paolo Fais, Giovanni Cecchetto, Vincenzo Zanardo, Guido Viel, Santo Davide Ferrara

Abstract

A number of metabolic abnormalities have been observed in pregnancies complicated by intrauterine growth restriction (IUGR). Metabolic fingerprinting and clinical metabolomics have recently been proposed as tools to investigate individual phenotypes beyond genomes and proteomes and to advance hypotheses on the genesis of diseases. Non-targeted metabolomic profiling was employed to study fetal and/or placental metabolism alterations in IUGR fetuses by liquid chromatography high-resolution mass spectrometry (LC-HRMS) analysis of cord blood collected soon after birth. Samples were collected from 22 IUGR and 21 appropriate for gestational age (AGA) fetuses. Birth weight differed significantly between IUGR and AGA fetuses (p < 0.001). Serum samples were immediately obtained and deproteinized by mixing with methanol at room temperature and centrifugation; supernatants were lyophilized and reconstituted in water for analysis. LC-HRMS analyses were performed on an Orbitrap mass spectrometer linked to a Surveyor Plus LC. Samples were injected into a 1.0 × 150-mm Luna C18 column. Spectra were collected in full-scan mode at a resolution of approximately 30,000. Data were acquired over the m/z range of 50-1,000, with measurements performed in duplicate. To observe metabolic variations between the two sets of samples, LC-HRMS data were analyzed by a principal component analysis model. Many features (e.g., ionic species with specific retention times) differed between the two classes of samples: among these, the essential amino acids phenylalanine, tryptophan, and methionine were identified by comparison with available databases. Logistic regression coupled to a receiver-operating characteristic curve identified a cut-off value for phenylalanine and tryptophan, which gave excellent discrimination between IUGR and AGA fetuses. Non-targeted LC-HRMS analysis of cord blood collected at birth allowed the identification of significant differences in relative abundances of essential amino acids between IUGR and AGA fetuses, emerging as a promising tool for studying metabolic alterations.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Portugal 1 <1%
Brazil 1 <1%
Unknown 102 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 19%
Researcher 19 18%
Student > Master 15 14%
Student > Doctoral Student 8 8%
Professor > Associate Professor 8 8%
Other 17 16%
Unknown 18 17%
Readers by discipline Count As %
Medicine and Dentistry 34 32%
Agricultural and Biological Sciences 21 20%
Biochemistry, Genetics and Molecular Biology 11 10%
Chemistry 6 6%
Nursing and Health Professions 2 2%
Other 12 11%
Unknown 19 18%