Literature DB >> 23599373

Amniotic fluid: the use of high-dimensional biology to understand fetal well-being.

Beena D Kamath-Rayne1, Heather C Smith, Louis J Muglia, Ardythe L Morrow.   

Abstract

Our aim was to review the use of high-dimensional biology techniques, specifically transcriptomics, proteomics, and metabolomics, in amniotic fluid to elucidate the mechanisms behind preterm birth or assessment of fetal development. We performed a comprehensive MEDLINE literature search on the use of transcriptomic, proteomic, and metabolomic technologies for amniotic fluid analysis. All abstracts were reviewed for pertinence to preterm birth or fetal maturation in human subjects. Nineteen articles qualified for inclusion. Most articles described the discovery of biomarker candidates, but few larger, multicenter replication or validation studies have been done. We conclude that the use of high-dimensional systems biology techniques to analyze amniotic fluid has significant potential to elucidate the mechanisms of preterm birth and fetal maturation. However, further multicenter collaborative efforts are needed to replicate and validate candidate biomarkers before they can become useful tools for clinical practice. Ideally, amniotic fluid biomarkers should be translated to a noninvasive test performed in maternal serum or urine.

Entities:  

Keywords:  amniotic fluid; preterm birth; proteomics; systems biology; transcriptomics

Mesh:

Substances:

Year:  2013        PMID: 23599373      PMCID: PMC3857760          DOI: 10.1177/1933719113485292

Source DB:  PubMed          Journal:  Reprod Sci        ISSN: 1933-7191            Impact factor:   3.060


  60 in total

1.  Amniotic fluid proteome analysis from Down syndrome pregnancies for biomarker discovery.

Authors:  Chan-Kyung J Cho; Christopher R Smith; Eleftherios P Diamandis
Journal:  J Proteome Res       Date:  2010-07-02       Impact factor: 4.466

2.  (1)H NMR based metabonomics of human amniotic fluid for the metabolic characterization of fetus malformations.

Authors:  Gonçalo Graça; Iola F Duarte; António S Barros; Brian J Goodfellow; Sílvia Diaz; Isabel M Carreira; Ana Bela Couceiro; Eulália Galhano; Ana M Gil
Journal:  J Proteome Res       Date:  2009-08       Impact factor: 4.466

3.  Predictive value of combined amniotic fluid proteomic biomarkers and interleukin-6 in preterm labor with intact membranes.

Authors:  Teresa Cobo; Montse Palacio; Aleix Navarro-Sastre; Antonia Ribes; Jordi Bosch; Xavier Filella; Eduard Gratacós
Journal:  Am J Obstet Gynecol       Date:  2009-05       Impact factor: 8.661

4.  Noninvasive diagnosis of intraamniotic infection: proteomic biomarkers in vaginal fluid.

Authors:  Jane Hitti; Jodi A Lapidus; Xinfang Lu; Ashok P Reddy; Thomas Jacob; Surendra Dasari; David A Eschenbach; Michael G Gravett; Srinivasa R Nagalla
Journal:  Am J Obstet Gynecol       Date:  2010-05-15       Impact factor: 8.661

5.  Statistical significance analysis of nuclear magnetic resonance-based metabonomics data.

Authors:  Aaron M Goodpaster; Lindsey E Romick-Rosendale; Michael A Kennedy
Journal:  Anal Biochem       Date:  2010-02-14       Impact factor: 3.365

6.  Monocyte chemotactic protein-1 expression is increased in human gestational tissues during term and preterm labor.

Authors:  M Sean Esplin; M R Peltier; S Hamblin; S Smith; M Bardett Fausett; G A Dildy; D Ware Branch; R M Silver; E Y Adashi
Journal:  Placenta       Date:  2004-12-08       Impact factor: 3.481

7.  Fetal inflammatory response in women with proteomic biomarkers characteristic of intra-amniotic inflammation and preterm birth.

Authors:  C S Buhimschi; A T Dulay; S Abdel-Razeq; G Zhao; S Lee; E J Hodgson; V Bhandari; I A Buhimschi
Journal:  BJOG       Date:  2008-10-08       Impact factor: 6.531

8.  Isobaric labeling and tandem mass spectrometry: a novel approach for profiling and quantifying proteins differentially expressed in amniotic fluid in preterm labor with and without intra-amniotic infection/inflammation.

Authors:  Roberto Romero; Juan Pedro Kusanovic; Francesca Gotsch; Offer Erez; Edi Vaisbuch; Shali Mazaki-Tovi; Allan Moser; Sunny Tam; John Leszyk; Stephen R Master; Peter Juhasz; Percy Pacora; Giovanna Ogge; Ricardo Gomez; Bo H Yoon; Lami Yeo; Sonia S Hassan; Wade T Rogers
Journal:  J Matern Fetal Neonatal Med       Date:  2010-04

Review 9.  Mass spectrometry for proteomics.

Authors:  Xuemei Han; Aaron Aslanian; John R Yates
Journal:  Curr Opin Chem Biol       Date:  2008-10       Impact factor: 8.822

10.  Quantitative metabolic profiles of 2nd and 3rd trimester human amniotic fluid using (1)H HR-MAS spectroscopy.

Authors:  Brad R Cohn; Bonnie N Joe; Shoujun Zhao; John Kornak; Vickie Y Zhang; Rahwa Iman; John Kurhanewicz; Kiarash Vahidi; Jingwei Yu; Aaron B Caughey; Mark G Swanson
Journal:  MAGMA       Date:  2009-09-25       Impact factor: 2.310

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  11 in total

Review 1.  Rare inherited kidney diseases: challenges, opportunities, and perspectives.

Authors:  Olivier Devuyst; Nine V A M Knoers; Giuseppe Remuzzi; Franz Schaefer
Journal:  Lancet       Date:  2014-05-24       Impact factor: 79.321

2.  The amniotic fluid proteome predicts imminent preterm delivery in asymptomatic women with a short cervix.

Authors:  Dereje W Gudicha; Roberto Romero; Nardhy Gomez-Lopez; Jose Galaz; Gaurav Bhatti; Bogdan Done; Eunjung Jung; Dahiana M Gallo; Mariachiara Bosco; Manaphat Suksai; Ramiro Diaz-Primera; Piya Chaemsaithong; Francesca Gotsch; Stanley M Berry; Tinnakorn Chaiworapongsa; Adi L Tarca
Journal:  Sci Rep       Date:  2022-07-11       Impact factor: 4.996

3.  microRNA Profiling of Amniotic Fluid: Evidence of Synergy of microRNAs in Fetal Development.

Authors:  Tingting Sun; Weiyun Li; Tianpeng Li; Shucai Ling
Journal:  PLoS One       Date:  2016-05-11       Impact factor: 3.240

4.  Application of the amniotic fluid metabolome to the study of fetal malformations, using Down syndrome as a specific model.

Authors:  Jun Huang; Jinhua Mo; Guili Zhao; Qiyin Lin; Guanhui Wei; Weinan Deng; Dunjin Chen; Bolan Yu
Journal:  Mol Med Rep       Date:  2017-09-18       Impact factor: 2.952

Review 5.  Metabolomics applied to maternal and perinatal health: a review of new frontiers with a translation potential.

Authors:  Renato Teixeira Souza; Jussara Mayrink; Débora Farias Leite; Maria Laura Costa; Iracema Mattos Calderon; Edilberto Alves Rocha Filho; Janete Vettorazzi; Francisco Edson Feitosa; José Guilherme Cecatti
Journal:  Clinics (Sao Paulo)       Date:  2019-03-21       Impact factor: 2.365

6.  Amniotic fluid cell-free transcriptome: a glimpse into fetal development and placental cellular dynamics during normal pregnancy.

Authors:  Adi L Tarca; Roberto Romero; Roger Pique-Regi; Percy Pacora; Bogdan Done; Marian Kacerovsky; Gaurav Bhatti; Sunil Jaiman; Sonia S Hassan; Chaur-Dong Hsu; Nardhy Gomez-Lopez
Journal:  BMC Med Genomics       Date:  2020-02-12       Impact factor: 3.063

7.  The amniotic fluid cell-free transcriptome in spontaneous preterm labor.

Authors:  Gaurav Bhatti; Roberto Romero; Nardhy Gomez-Lopez; Roger Pique-Regi; Percy Pacora; Eunjung Jung; Lami Yeo; Chaur-Dong Hsu; Mahendra Kavdia; Adi L Tarca
Journal:  Sci Rep       Date:  2021-06-29       Impact factor: 4.996

8.  Dynamic Changes of Metabolite Profiles in Maternal Biofluids During Gestation Period in Huanjiang Mini-Pigs.

Authors:  Qian Zhu; Peifeng Xie; Huawei Li; Francois Blachier; Yulong Yin; Xiangfeng Kong
Journal:  Front Vet Sci       Date:  2021-07-06

9.  Systems biology evaluation of cell-free amniotic fluid transcriptome of term and preterm infants to detect fetal maturity.

Authors:  Beena D Kamath-Rayne; Yina Du; Maria Hughes; Erin A Wagner; Louis J Muglia; Emily A DeFranco; Jeffrey A Whitsett; Nathan Salomonis; Yan Xu
Journal:  BMC Med Genomics       Date:  2015-10-22       Impact factor: 3.063

10.  Urinary metabolomic analysis to identify preterm neonates exposed to histological chorioamnionitis: A pilot study.

Authors:  Claudia Fattuoni; Carlo Pietrasanta; Lorenza Pugni; Andrea Ronchi; Francesco Palmas; Luigi Barberini; Angelica Dessì; Roberta Pintus; Vassilios Fanos; Antonio Noto; Fabio Mosca
Journal:  PLoS One       Date:  2017-12-06       Impact factor: 3.240

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