Rapid diagnosis of intra-amniotic infection using nanopore-based sequencing

Author:

Chaemsaithong Piya1234,Romero Roberto34567,Pongchaikul Pisut8910,Vivithanaporn Pornpun8,Lertrut Waranyu1,Jaovisidha Adithep1,Mongkolsuk Paninee8,Nitayanon Perapon11,Pongsuktavorn Khontawan12,Kamlungkuea Threebhorn1,Jung Eunjung23,Suksai Manaphat23,Singhsnaeh Arunee13,Jenjaroenpun Piroon1415,Thaipisuttikul Iyarit11,Wongsurawat Thidathip1415

Affiliation:

1. Department of Obstetrics and Gynecology, Faculty of Medicine Ramathibodi Hospital , Mahidol University , Bangkok , Thailand

2. Department of Obstetrics and Gynecology , Wayne State University School of Medicine , Detroit , MI , USA

3. Perinatalogy Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, U. S. Department of Health and Human Services, Bethesda, MD, and Detroit , MI , USA

4. National Institutes of Health , Bethesda , MD , USA

5. Department of Obstetrics and Gynecology , University of Michigan , Ann Arbor , MI , USA

6. Department of Epidemiology and Biostatistics , Michigan State University , East Lansing , MI , USA

7. Center for Molecular Medicine and Genetics , Wayne State University , Detroit , MI , USA

8. Faculty of Medicine Ramathibodi Hospital , Chakri Naruebodindra Medical Institute, Mahidol University , Samut Prakarn , Thailand

9. Integrative Computational Bioscience (ICBS) Center , Mahidol University , Nakorn Pathom , Thailand

10. Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool , Liverpool , UK

11. Department of Microbiology, Faculty of Medicine Siriraj Hospital , Mahidol University , Bangkok , Thailand

12. Siriraj Genomics, Molecular Genetics Laboratory, Office of the Dean, Faculty of Medicine Siriraj Hospital , Mahidol University , Bangkok , Thailand

13. Department of Pathology, Faculty of Medicine, Ramathibodi Hospital , Mahidol University , Bangkok Thailand

14. Division of Medical Bioinformatics, Department of Research, Faculty of Medicine Siriraj Hospital , Mahidol University , Bangkok , Thailand

15. Siriraj Long-Read Lab (Si-LoL), Department of Research, Faculty of Medicine Siriraj Hospital , Mahidol University , Bangkok , Thailand

Abstract

Abstract Objectives Early diagnosis and treatment of intra-amniotic infection is crucial. Rapid pathogen identification allows for a definite diagnosis and enables proper management. We determined whether the 16S amplicon sequencing performed by a nanopore sequencing technique make possible rapid bacterial identification at the species level in intra-amniotic infection. Methods Five cases of confirmed intra-amniotic infection, determined by either cultivation or 16S rDNA polymerase chain reaction (PCR) Sanger sequencing, and 10 cases of women who underwent mid-trimester genetic amniocentesis were included. DNA was extracted from amniotic fluid and PCR was performed on the full-length 16S rDNA. Nanopore sequencing was performed. The results derived from nanopore sequencing were compared with those derived from cultivation and Sanger sequencing methods. Results Bacteria were successfully detected from amniotic fluid using nanopore sequencing in all cases of intra-amniotic infection. Nanopore sequencing identified additional bacterial species and polymicrobial infections. All patients who underwent a mid-trimester amniocentesis had negative cultures, negative 16S PCR Sanger sequencing and nanopore sequencing. Identification of the microorganisms using nanopore sequencing technique at the bacterial species level was achieved within 5–9 h from DNA extraction. Conclusions This is the first study demonstrating that the nanopore sequencing technique is capable of rapid diagnosis of intra-amniotic infection using fresh amniotic fluid samples.

Funder

Eunice Kennedy Shriver National Institute of Child Health and Human Development

Publisher

Walter de Gruyter GmbH

Subject

Obstetrics and Gynecology,Pediatrics, Perinatology and Child Health

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3