Evidence map›Paper›PMID 30367675›Full record

ArticleMicrobiome2018

Neonatal gut and respiratory microbiota: coordinated development through time and space.

Alex Grier, Andrew McDavid, Bokai Wang, Xing Qiu, James Java, Sanjukta Bandyopadhyay, Hongmei Yang, Jeanne Holden-Wiltse, Haeja A Kessler, Ann L Gill and 7 more

Open access · goldAbstract read
In one paragraph

Article in Microbiome, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed, 3 pooled it
3.8field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

60 citing papers in PubMed, 3 syntheses or guidelines pooled it, 99 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. The gut-lung axis in early life: microbiome-associated mechanisms and clinical relevance.European respiratory review : an official journal of the European Respiratory Society · 2026
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors at 2 institutions in 1 country.

Alex GrierGenomics Research Center, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA.
Andrew McDavidDepartment of Biostatistics and Computational Biology, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA.
Bokai WangDepartment of Biostatistics and Computational Biology, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA.
Xing QiuDepartment of Biostatistics and Computational Biology, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA.
James JavaDepartment of Biostatistics and Computational Biology, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA.
Sanjukta BandyopadhyayDepartment of Biostatistics and Computational Biology, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA.
Hongmei YangDepartment of Biostatistics and Computational Biology, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA.
Jeanne Holden-WiltseDepartment of Biostatistics and Computational Biology, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA.
Haeja A KesslerDepartment of Microbiology and Immunology, University of Rochester School of Medicine and Dentistry, 601 Elmwood Avenue, Rochester, NY, 14642, USA.
Ann L GillDepartment of Microbiology and Immunology, University of Rochester School of Medicine and Dentistry, 601 Elmwood Avenue, Rochester, NY, 14642, USA.
Heidie HuyckMedicine-Infectious Disease, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA.
Ann R FalseyMedicine-Infectious Disease, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA.
David J TophamDepartment of Microbiology and Immunology, University of Rochester School of Medicine and Dentistry, 601 Elmwood Avenue, Rochester, NY, 14642, USA.
Kristin M ScheibleDivision of Neonatology, Department of Pediatrics, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA.
Mary T CasertaDivision of Infectious Disease, Department of Pediatrics, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA.
Gloria S PryhuberDivision of Neonatology, Department of Pediatrics, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA.
Steven R GillGenomics Research Center, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA. steven_gill@urmc.rochester.edu.ORCID 0000-0002-2408-1373
University of Rochester · USUniversity of Rochester Medical Center · US

Funding

The University of Rochester's Clinical and Translational Science InstituteUL1TR002001 · NCATS · UNIVERSITY OF ROCHESTER · PI WILSON, KAREN M., ZAND, MARTIN S · 2016 to 2024
$34.6M
The University of Rochester's Clinical and Translational Science InstituteUL1TR000042 · NCATS · UNIVERSITY OF ROCHESTER · PI BENNETT, NANCY M, KIEBURTZ, KARL D. · 2012 to 2015
$14.4M
CD8 T Cell Dysregulation in Premature InfantsK08AI108870 · NIAID · UNIVERSITY OF ROCHESTER · PI SCHEIBLE, KRISTIN · 2014 to 2016
$539k
NIAID NIH HHS HHSN272201200005C
6 · The paper itself

Abstract

backgroundPostnatal development of early life microbiota influences immunity, metabolism, neurodevelopment, and infant health. Microbiome development occurs at multiple body sites, with distinct community compositions and functions. Associations between microbiota at multiple sites represent an unexplored influence on the infant microbiome. Here, we examined co-occurrence patterns of gut and respiratory microbiota in pre- and full-term infants over the first year of life, a period critical to neonatal development.

resultsGut and respiratory microbiota collected as longitudinal rectal, throat, and nasal samples from 38 pre-term and 44 full-term infants were first clustered into community state types (CSTs) on the basis of their compositional profiles. Multiple methods were used to relate the occurrence of CSTs to temporal microbiota development and measures of infant maturity, including gestational age (GA) at birth, week of life (WOL), and post-menstrual age (PMA). Manifestation of CSTs followed one of three patterns with respect to infant maturity: (1) chronological, with CST occurrence frequency solely a function of post-natal age (WOL), (2) idiosyncratic to maturity at birth, with the interval of CST occurrence dependent on infant post-natal age but the frequency of occurrence dependent on GA at birth, and (3) convergent, in which CSTs appear first in infants of greater maturity at birth, with occurrence frequency in pre-terms converging after a post-natal interval proportional to pre-maturity. The composition of CSTs was highly dissimilar between different body sites, but the CST of any one body site was highly predictive of the CSTs at other body sites. There were significant associations between the abundance of individual taxa at each body site and the CSTs of the other body sites, which persisted after stringent control for the non-linear effects of infant maturity. Canonical correlations exist between the microbiota composition at each pair of body sites, with the strongest correlations between proximal locations.

conclusionThese findings suggest that early microbiota is shaped by neonatal innate and adaptive developmental responses. Temporal progression of CST occurrence is influenced by infant maturity at birth and post-natal age. Significant associations of microbiota across body sites reveal distal connections and coordinated development of the infant microbial ecosystem.

Indexed as

Child DevelopmentFemaleGastrointestinal MicrobiomeGestational AgeHumansInfant, NewbornInfant, PrematureMaleNosePharynxPregnancyRectumSymbiosis

Identifiers

PMID30367675
PMCPMC6204011
OpenAlexW2951047095

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.