Evidence map›Paper›PMID 35310935›Full record

ArticleiScience2022

Aberrant newborn T cell and microbiota developmental trajectories predict respiratory compromise during infancy.

Andrew McDavid, Nathan Laniewski, Alex Grier, Ann L Gill, Haeja A Kessler, Heidie Huyck, Elizabeth Carbonell, Jeanne Holden-Wiltse, Sanjukta Bandyopadhyay, Jennifer Carnahan and 7 more

Open access · goldAbstract read
In one paragraph

Article in iScience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

16 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Review
  9. The neonate respiratory microbiome.Acta physiologica (Oxford, England) · 2025
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Leveraging Microbial Symbiosis to Modulate Bronchopulmonary Dysplasia.American journal of respiratory cell and molecular biology · 2023
    Article
  15. Review
  16. Eight practices for data management to enable team data science.Journal of clinical and translational science · 2020
    Article
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 1 institution in 1 country.

Andrew McDavidDepartment of Biostatistics and Computational Biology, University of Rochester, Rochester, NY, USA.
Nathan LaniewskiDepartment of Microbiology and Immunology, University of Rochester, Rochester, NY, USA.
Alex GrierGenomics Research Center, University of Rochester, Rochester, NY, USA.
Ann L GillDepartment of Microbiology and Immunology, University of Rochester, Rochester, NY, USA.
Haeja A KesslerDepartment of Microbiology and Immunology, University of Rochester, Rochester, NY, USA.
Heidie HuyckDepartment of Pediatrics, University of Rochester, Rochester, NY, USA.
Elizabeth CarbonellDepartment of Pediatrics, University of Rochester, Rochester, NY, USA.
Jeanne Holden-WiltseDepartment of Biostatistics and Computational Biology, University of Rochester, Rochester, NY, USA.
Sanjukta BandyopadhyayDepartment of Biostatistics and Computational Biology, University of Rochester, Rochester, NY, USA.
Jennifer CarnahanDepartment of Pediatrics, University of Rochester, Rochester, NY, USA.
Andrew M DylagDepartment of Pediatrics, University of Rochester, Rochester, NY, USA.
David J TophamDepartment of Microbiology and Immunology, University of Rochester, Rochester, NY, USA.
Ann R FalseyDepartment of Medicine, University of Rochester, Rochester, NY, USA.
Mary T CasertaDepartment of Pediatrics, University of Rochester, Rochester, NY, USA.
Gloria S PryhuberDepartment of Pediatrics, University of Rochester, Rochester, NY, USA.
Steven R GillDepartment of Microbiology and Immunology, University of Rochester, Rochester, NY, USA.
Kristin M ScheibleDepartment of Pediatrics, University of Rochester, Rochester, NY, USA.
University of Rochester · US

Funding

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
Functional and Lymphocytic Markers of Respiratory Morbidity in Hyperoxic PreemiesU01HL101813 · NHLBI · UNIVERSITY OF ROCHESTER · PI MARIANI, THOMAS J, PRYHUBER, GLORIA S · 2010 to 2014
$2.4M
CD8 T Cell Dysregulation in Premature InfantsK08AI108870 · NIAID · UNIVERSITY OF ROCHESTER · PI SCHEIBLE, KRISTIN · 2014 to 2016
$539k
NCATS NIH HHS UL1 TR000042NHLBI NIH HHS U01 HL101813NIAID NIH HHS HHSN272201200005CNIAID NIH HHS K08 AI108870
6 · The paper itself

Abstract

Neonatal immune-microbiota co-development is poorly understood, yet age-appropriate recognition of - and response to - pathogens and commensal microbiota is critical to health. In this longitudinal study of 148 preterm and 119 full-term infants from birth through one year of age, we found that postmenstrual age or weeks from conception is a central factor influencing T cell and mucosal microbiota development. Numerous features of the T cell and microbiota functional development remain unexplained; however, by either age metric and are instead shaped by discrete perinatal and postnatal events. Most strikingly, we establish that prenatal antibiotics or infection disrupt the normal T cell population developmental trajectory, influencing subsequent respiratory microbial colonization and predicting respiratory morbidity. In this way, early exposures predict the postnatal immune-microbiota axis trajectory, placing infants at later risk for respiratory morbidity in early childhood.

Indexed as

ImmunologyMicrobiome

Identifiers

PMID35310935
PMCPMC8931366
OpenAlexW4220762823

What Socratic 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 Socratic graph.