Modeling transfer of vaginal microbiota from mother to infant in early life

Author:

Mortensen Martin Steen1ORCID,Rasmussen Morten Arendt23ORCID,Stokholm Jakob2ORCID,Brejnrod Asker Daniel1ORCID,Balle Christina1ORCID,Thorsen Jonathan2ORCID,Krogfelt Karen Angeliki45ORCID,Bisgaard Hans2ORCID,Sørensen Søren Johannes1ORCID

Affiliation:

1. Section of Microbiology, Department of Biology, University of Copenhagen, Copenhagen, Denmark

2. Copenhagen Prospective Studies on Asthma in Childhood, Faculty of Health Sciences, University of Copenhagen, Copenhagen University Hospital Gentofte, Hellerup, Denmark

3. Department of Food Science, Faculty of Science, University of Copenhagen, Frederiksberg, Denmark

4. Virus & Microbiological Special Diagnostics, Statens Serum Institut, Copenhagen, Denmark

5. Department of Science and Environment, Roskilde University, Roskilde, Denmark

Abstract

Early-life microbiota has been linked to the development of chronic inflammatory diseases. It has been hypothesized that maternal vaginal microbiota is an important initial seeding source and therefore might have lifelong effects on disease risk. To understand maternal vaginal microbiota’s role in seeding the child’s microbiota and the extent of delivery mode-dependent transmission, we studied 665 mother–child dyads from the COPSAC2010 cohort. The maternal vaginal microbiota was evaluated twice in the third trimester and compared with the children’s fecal (at 1 week, 1 month, and 1 year of age) and airway microbiota (at 1 week, 1 month, and 3 months). Based on the concept of weighted transfer ratios (WTRs), we have identified bacterial orders for which the WTR displays patterns indicate persistent or transient transfer from the maternal vaginal microbiome, as well as orders that are shared at later time points independent of delivery mode, indicating a common reservoir.

Funder

Lundbeckfonden

Danish Ministry of Health

Strategiske Forskningsråd

The Capital Research Foundation

Publisher

eLife Sciences Publications, Ltd

Subject

General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience

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