Literature DB >> 33668810

Quantifying Fetal Reprogramming for Biomarker Development in the Era of High-Throughput Sequencing.

Fu-Sheng Chou1, Krystel Newton1, Pei-Shan Wang2.   

Abstract

Gestational hypertensive disorders continue to threaten the well-being of pregnant women and their offspring. The only current definitive treatment for gestational hypertensive disorders is delivery of the fetus. The optimal timing of delivery remains controversial. Currently, the available clinical tools do not allow for assessment of fetal stress in its early stages. Placental insufficiency and fetal growth restriction secondary to gestational hypertensive disorders have been shown to have long-term impacts on offspring health even into their adulthood, becoming one of the major focuses of research in the field of developmental origins of health and disease. Fetal reprogramming was introduced to describe the long-lasting effects of the toxic intrauterine environment on the growing fetus. With the advent of high-throughput sequencing, there have been major advances in research attempting to quantify fetal reprogramming. Moreover, genes that are found to be differentially expressed as a result of fetal reprogramming show promise in the development of transcriptional biomarkers for clinical use in detecting fetal response to placental insufficiency. In this review, we will review key pathophysiology in the development of placental insufficiency, existing literature on high-throughput sequencing in the study of fetal reprogramming, and considerations regarding research design from our own experience.

Entities:  

Keywords:  placental insufficiency; preeclampsia; transcriptional biomarker

Year:  2021        PMID: 33668810      PMCID: PMC7996299          DOI: 10.3390/genes12030329

Source DB:  PubMed          Journal:  Genes (Basel)        ISSN: 2073-4425            Impact factor:   4.096


  56 in total

Review 1.  Microarray data analysis for differential expression: a tutorial.

Authors:  Erick Suárez; Ana Burguete; Geoffrey J Mclachlan
Journal:  P R Health Sci J       Date:  2009-06       Impact factor: 0.705

2.  Identification of miR-210-5p in human placentae from pregnancies complicated by preeclampsia and intrauterine growth restriction, and its potential role in the pregnancy complications.

Authors:  Zain Awamleh; Victor K M Han
Journal:  Pregnancy Hypertens       Date:  2020-01-14       Impact factor: 2.899

3.  Differential effects of intrauterine growth restriction on brain structure and development in preterm infants: a magnetic resonance imaging study.

Authors:  Nelly Padilla; Carles Falcón; Magdalena Sanz-Cortés; Francesc Figueras; Núria Bargallo; Fátima Crispi; Elisenda Eixarch; Angela Arranz; Francesc Botet; Eduard Gratacós
Journal:  Brain Res       Date:  2011-01-19       Impact factor: 3.252

Review 4.  Early childhood neurodevelopment after intrauterine growth restriction: a systematic review.

Authors:  Terri A Levine; Ruth E Grunau; Fionnuala M McAuliffe; RagaMallika Pinnamaneni; Adrienne Foran; Fiona A Alderdice
Journal:  Pediatrics       Date:  2015-01       Impact factor: 7.124

5.  Intrauterine Growth Retardation - A Developmental Model of Type 2 Diabetes.

Authors:  Sara E Pinney
Journal:  Drug Discov Today Dis Models       Date:  2013

Review 6.  Angiogenesis in the placenta: the role of reactive oxygen species signaling.

Authors:  Robyn D Pereira; Nicole E De Long; Ruijun C Wang; Fereshteh T Yazdi; Alison C Holloway; Sandeep Raha
Journal:  Biomed Res Int       Date:  2015-01-29       Impact factor: 3.411

7.  Comparative Transcriptome Analysis of Cell-Free Fetal RNA from Amniotic Fluid and RNA from Amniocytes in Uncomplicated Pregnancies.

Authors:  J H Kang; H J Park; Y W Jung; S H Shim; S R Sung; J E Park; D H Cha; E H Ahn
Journal:  PLoS One       Date:  2015-07-16       Impact factor: 3.240

Review 8.  Sex Differences in Nutrition, Growth, and Metabolism in Preterm Infants.

Authors:  Pradeep Alur
Journal:  Front Pediatr       Date:  2019-02-07       Impact factor: 3.418

9.  Placental microRNAs in pregnancies with early onset intrauterine growth restriction and preeclampsia: potential impact on gene expression and pathophysiology.

Authors:  Zain Awamleh; Gregory B Gloor; Victor K M Han
Journal:  BMC Med Genomics       Date:  2019-06-27       Impact factor: 3.063

10.  NeTFactor, a framework for identifying transcriptional regulators of gene expression-based biomarkers.

Authors:  Mehmet Eren Ahsen; Yoojin Chun; Alexander Grishin; Galina Grishina; Gustavo Stolovitzky; Gaurav Pandey; Supinda Bunyavanich
Journal:  Sci Rep       Date:  2019-09-10       Impact factor: 4.379

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