Literature DB >> 23025763

Physiopathology of intrauterine growth retardation: from classic data to metabolomics.

Angelica Dessì1, Giovanni Ottonello, Vassilios Fanos.   

Abstract

It is well known that adverse conditions during intrauterine life, such as intrauterine growth restriction (IUGR), can result in permanent changes in the physiology and metabolism of the newborn, which in turn leads to an increased risk of disease in adulthood (fetal origin of adult disease hypothesis). In the first part of this review the epidemiological studies in which a correlation between low birth weight and chronic pathologies in adulthood was observed are reported. The second part of the review is focused on metabolomics studies that have revealed an altered metabolism in IUGR patients compared to controls. Together with more classic biomarkers of IUGR, such as endothelin-1, leptin, protein S100B and visfatin, the new holistic metabolomics approach has assumed a crescent role in the identification of disorders in the neonatal metabolic profile, determined by the interconnection of the different processes.

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Year:  2012        PMID: 23025763     DOI: 10.3109/14767058.2012.714639

Source DB:  PubMed          Journal:  J Matern Fetal Neonatal Med        ISSN: 1476-4954


  21 in total

1.  Hypoplastic left heart syndrome is associated with structural and vascular placental abnormalities and leptin dysregulation.

Authors:  Helen N Jones; Stephanie K Olbrych; Kathleen L Smith; James F Cnota; Mounira Habli; Osniel Ramos-Gonzales; Kathryn J Owens; Andrea C Hinton; William J Polzin; Louis J Muglia; Robert B Hinton
Journal:  Placenta       Date:  2015-08-07       Impact factor: 3.481

2.  Characteristics of the gut microbiota colonization, inflammatory profile, and plasma metabolome in intrauterine growth restricted piglets during the first 12 hours after birth.

Authors:  Shimeng Huang; Na Li; Cong Liu; Tiantian Li; Wei Wang; Lili Jiang; Zhen Li; Dandan Han; Shiyu Tao; Junjun Wang
Journal:  J Microbiol       Date:  2019-06-11       Impact factor: 3.422

Review 3.  The impact of IUGR on pancreatic islet development and β-cell function.

Authors:  Brit H Boehmer; Sean W Limesand; Paul J Rozance
Journal:  J Endocrinol       Date:  2017-08-14       Impact factor: 4.286

4.  Effect of resveratrol on metabolic and cardiovascular function in male and female adult offspring exposed to prenatal hypoxia and a high-fat diet.

Authors:  Amin Shah; Laura M Reyes; Jude S Morton; David Fung; Jillian Schneider; Sandra T Davidge
Journal:  J Physiol       Date:  2015-11-04       Impact factor: 5.182

5.  The eutheria-specific miR-290 cluster modulates placental growth and maternal-fetal transport.

Authors:  Alireza Paikari; Cassandra D Belair; Daniel Saw; Robert Blelloch
Journal:  Development       Date:  2017-09-21       Impact factor: 6.868

6.  Detection of expressional changes induced by intrauterine growth restriction in the developing rat pancreas.

Authors:  Lin Zhang; Wei Chen; Yuee Dai; Ziyang Zhu; Qianqi Liu
Journal:  Exp Biol Med (Maywood)       Date:  2016-05-17

7.  A modified prenatal growth assessment score for the evaluation of fetal growth in the third trimester using single and composite biometric parameters.

Authors:  Russell L Deter; Wesley Lee; Haleh Sangi-Haghpeykar; Adi L Tarca; Lami Yeo; Roberto Romero
Journal:  J Matern Fetal Neonatal Med       Date:  2014-07-11

8.  Does low birth weight affect the presence of cardiometabolic risk factors in overweight and obese children?

Authors:  Caroline Ponzio; Zaira Palomino; Rosana Fiorini Puccini; Maria Wany L Strufaldi; Maria C P Franco
Journal:  Eur J Pediatr       Date:  2013-08-03       Impact factor: 3.183

9.  Modification of the effect of ambient air pollution on pediatric asthma emergency visits: susceptible subpopulations.

Authors:  Matthew J Strickland; Mitchel Klein; W Dana Flanders; Howard H Chang; James A Mulholland; Paige E Tolbert; Lyndsey A Darrow
Journal:  Epidemiology       Date:  2014-11       Impact factor: 4.822

Review 10.  Metabolomics and systems pharmacology: why and how to model the human metabolic network for drug discovery.

Authors:  Douglas B Kell; Royston Goodacre
Journal:  Drug Discov Today       Date:  2013-07-26       Impact factor: 7.851

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