Literature DB >> 26104258

Altered metabolic profile in early and late onset preeclampsia: An FTIR spectroscopic study.

Rashmi Mukherjee1, Chaitali Datta Ray2, Sabyasachi Ray3, Swagata Dasgupta4, Koel Chaudhury5.   

Abstract

OBJECTIVE: Metabolic anomalies, if any, between early and late onset preeclampsia [PE] were explored using Fourier transform infrared [FTIR] spectroscopy.
SETTING: Department of Gynecology and Obstetrics, SSKM Hospital, IPGMER, Kolkata and Midnapur Medical College Hospital, Midnapur, India. SAMPLE: 80 pregnant women attending routine antenatal care units; (i) early onset PE [gestational age; GA<34weeks] (ii) late onset PE [GA>34weeks] (iii) early onset control [GA 24-34weeks] and (iv) late onset control [GA>34weeks].
METHODS: Serum FTIR spectra were obtained in the wave-number range of 600-4000cm(-1) at 4cm(-1) resolution. (1)H NMR and estimation of atherosclerotic index (AI) were performed to validate the FTIR findings. MAIN OUTCOME MEASURE(S): Clinical characteristics and metabolic profile.
RESULTS: 13 spectral peaks corresponding to the carbohydrate, protein and lipid region were significantly altered in early onset PE [P<0.001; at 95% confidence interval]. Discriminant analysis identified five highly significant wave-numbers (1078, 1088, 1122, 1169 and 1171cm(-1)) having ⩾80% overall accuracy. Hierarchical cluster analysis of the obtained spectra at these 5 wave-numbers provided excellent segregation of early and late onset PE with respect to their controls. Principal component analysis revealed that these 5 wave-numbers significantly separated the two sub-groups of PE (97.95% of the total variance). (1)H NMR results showed that serum levels of glutamate, choline, alanine and lactate were significantly higher while ariginine and citrate were significantly decreased in early onset PE as compared to late onset cases.
CONCLUSION: Our study reveals differences in metabolomic profiles of early and late onset preeclamptic cases.
Copyright © 2013 International Society for the Study of Hypertension in Pregnancy. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Discriminant analysis; Fourier transformed infra-red spectroscopy; Hierarchial cluster analysis; Metabolite profiling; Nuclear magnetic resonance spectroscopy; Preeclampsia; Principal component analysis

Year:  2013        PMID: 26104258     DOI: 10.1016/j.preghy.2013.11.005

Source DB:  PubMed          Journal:  Pregnancy Hypertens        ISSN: 2210-7789            Impact factor:   2.899


  3 in total

1.  Morphometric evaluation of preeclamptic placenta using light microscopic images.

Authors:  Rashmi Mukherjee
Journal:  Biomed Res Int       Date:  2014-06-23       Impact factor: 3.411

2.  Metabolomic biomarkers in midtrimester maternal plasma can accurately predict the development of preeclampsia.

Authors:  Seung Mi Lee; Yujin Kang; Eun Mi Lee; Young Mi Jung; Subeen Hong; Soo Jin Park; Chan-Wook Park; Errol R Norwitz; Do Yup Lee; Joong Shin Park
Journal:  Sci Rep       Date:  2020-09-30       Impact factor: 4.379

3.  The Interplay between Pathophysiological Pathways in Early-Onset Severe Preeclampsia Unveiled by Metabolomics.

Authors:  Lina Youssef; Francesca Crovetto; Rui Vasco Simoes; Jezid Miranda; Cristina Paules; Miquel Blasco; Marta Palomo; Héctor García-Calderó; Olga Tura-Ceide; Ana Paula Dantas; Virginia Hernandez-Gea; Pol Herrero; Núria Canela; Josep Maria Campistol; Joan Carles Garcia-Pagan; Maribel Diaz-Ricart; Eduard Gratacos; Fatima Crispi
Journal:  Life (Basel)       Date:  2022-01-07
  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.