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DOI 10.1016/j.bbrc.2018.01.096

Медицинская библиотека · Biochemical and biophysical research communications · 2018

NMR-based serum metabolomics study reveals a innovative diagnostic model for missed abortion.

Wu Zhenghong, Jin Lei, Zheng Wenyi, Zhang Chenxi, Zhang Liwen, Chen Yaping, Guan Junhua, Fei He

СтатьяПоддержка исследования: вне правительства СШАПеревод в очереди

Аннотация

A missed abortion (MA) is an in-utero death of the embryo or fetus before the 20th week of gestation with retained products of conception. In order to discover novel biomarkers for MA, a 1H NMR spectroscopy-based metabolomics approach was applied to detect human MA serum metabolic profiles. Serum samples were obtained from patients with MA (n = 15) and healthy controls (n = 9) for study. The NOESYPR1D spectrum combined with multi-variate pattern recognition analysis was used to cluster the groups and establish a disease-specific metabolites phenotype. Principal component analysis (PCA) and orthogonal partial least-squares discriminant analysis (OPLS-DA) models were capable of distinguishing MA patients from healthy subjects. The results revealed that 24 metabolites altered in MA patients compared with the control population. Metabolomic pathway analysis demonstrated that alanine, aspartate and glutamate metabolism, citrate cycle (TCA cycle), taurine and hypotaurine metabolism were significantly altered in MA. The results indicated that serum NMR-based metabolomic profiling method is sensitive and specific enough to distinguish MA and from healthy controls, this method could be developed as a clinically useful diagnostic tool for MA. The finding from the MA serum metabolic profiling shed a new light on further understanding of MA disease mechanisms.

Для цитирования: Wu Zhenghong, Jin Lei, Zheng Wenyi, Zhang Chenxi, Zhang Liwen, Chen Yaping, Guan Junhua, Fei He. NMR-based serum metabolomics study reveals a innovative diagnostic model for missed abortion.. Biochemical and biophysical research communications. 2018. DOI: 10.1016/j.bbrc.2018.01.096.

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