Abstract
Background: Amniotic fluid (AF) is a proximal fluid to the fetus containing higher amounts of cell-free fetal RNA/DNA than maternal serum, thereby making it a promising source for identifying novel biomarkers that predict fetal development and organ maturation. Our aim was to compare AF transcriptomic profiles at different time points in pregnancy to demonstrate unique genetic signatures that would serve as potential biomarkers indicative of fetal maturation. Methods: We isolated AF RNA from 16 women at different time points in pregnancy: 4 from 18 to 24 weeks, 6 from 34 to 36 weeks, and 6 from 39 to 40 weeks. RNA-sequencing was performed on cell-free RNA. Gene expression and splicing analyses were performed in conjunction with cell-type and pathway predictions. Results: Sample-level analysis at different time points in pregnancy demonstrated a strong correlation with cell types found in the intrauterine environment and fetal respiratory, digestive and external barrier tissues of the fetus, using high-confidence cellular molecular markers. While some RNAs and splice variants were present throughout pregnancy, many transcripts were uniquely expressed at different time points in pregnancy and associated with distinct neonatal co-morbidities (respiratory distress and gavage feeding), indicating fetal immaturity. Conclusion: The AF transcriptome exhibits unique cell/organ-selective expression patterns at different time points in pregnancy that can potentially identify fetal organ maturity and predict neonatal morbidity. Developing novel biomarkers indicative of the maturation of multiple organ systems can improve upon our current methods of fetal maturity testing which focus solely on the lung, and will better inform obstetrical decisions regarding delivery timing.
| Original language | English |
|---|---|
| Article number | 67 |
| Journal | BMC Medical Genomics |
| Volume | 8 |
| Issue number | 1 |
| DOIs | |
| State | Published - Oct 22 2015 |
Bibliographical note
Publisher Copyright:© 2015 Kamath-Rayne et al.
Funding
This work was supported by NIH K12 HL119986 (Dr. Kamath-Rayne), NIH HL110964 and HL122642 (Dr. Whitsett), NIH HL105433 (Dr. Xu), and NIH U01HL099997 (Dr. Salomonis). Dr. Muglia received funding from the March of Dimes Prematurity Research Center Ohio Collaborative grant 22-FY14-470. This project also received funding from a Cincinnati Children's Hospital Medical Center Perinatal Institute Pilot and Feasibility Grant (Drs. Xu and Kamath-Rayne). The authors acknowledge the women who consented to participate in our study on behalf of themselves and their infants. The authors also thank Dr. Michael Marcotte for his assistance with establishing the study at Good Samaritan Hospital, and the research nurses at the delivery hospitals who enrolled patients and collected clinical data (Rita Doerger and Peggy Walsh at Good Samaritan Hospital; Christine DeArmond at University of Cincinnati Medical Center; and Yvonne Rebello-Davis at The Christ Hospital). The authors thank Dr. Alan Jobe for his critical review of the manuscript. Study data were collected and managed using REDCap (Research Electronic Data Capture) hosted at Cincinnati Children's Hospital Medical Center, under the Center for Clinical and Translational Science and Training grant support (UL1-RR026314-01 NCRR/NIH). This work was supported by NIH K12 HL119986 (Dr. Kamath-Rayne), NIH HL110964 and HL122642 (Dr. Whitsett), NIH HL105433 (Dr. Xu), and NIH U01HL099997 (Dr. Salomonis). Dr. Muglia received funding from the March of Dimes Prematurity Research Center Ohio Collaborative grant 22-FY14-470. This project also received funding from a Cincinnati Children’s Hospital Medical Center Perinatal Institute Pilot and Feasibility Grant (Drs. Xu and Kamath-Rayne). The authors acknowledge the women who consented to participate in our study on behalf of themselves and their infants. The authors also thank Dr. Michael Marcotte for his assistance with establishing the study at Good Samaritan Hospital, and the research nurses at the delivery hospitals who enrolled patients and collected clinical data (Rita Doerger and Peggy Walsh at Good Samaritan Hospital; Christine DeArmond at University of Cincinnati Medical Center; and Yvonne Rebello-Davis at The Christ Hospital). The authors thank Dr. Alan Jobe for his critical review of the manuscript. Study data were collected and managed using REDCap (Research Electronic Data Capture) hosted at Cincinnati Children’s Hospital Medical Center, under the Center for Clinical and Translational Science and Training grant support (UL1-RR026314-01 NCRR/NIH).
| Funders | Funder number |
|---|---|
| Cincinnati Children’s Hospital Medical Center Perinatal Institute | |
| NIH HL105433 | |
| NIH HL110964 | |
| NIH K12 HL119986 | |
| NIH U01HL099997 | |
| National Institutes of Health (NIH) | U01HL099997, HL122642, K12 HL119986, HL105433, HL110964 |
| National Center for Advancing Translational Sciences (NCATS) | UL1TR001425 |
| University of Cincinnati University Research Council | |
| Center for Clinical and Translational Science, Mayo Clinic | UL1-RR026314-01 NCRR/NIH |
| March of Dimes Prematurity Research Center Ohio Collaborative | 22-FY14-470 |
Keywords
- Amniotic fluid
- Fetal lung maturity
- Prenatal diagnosis
- Transcriptome
ASJC Scopus subject areas
- Genetics
- Genetics(clinical)
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