Evidence map›Paper›PMID 24214026›Full record

ReviewImmunologic research2013

Neonatal immunology: responses to pathogenic microorganisms and epigenetics reveal an "immunodiverse" developmental state.

Becky Adkins

Abstract readReview
PubMed Publisher
In one paragraph

Review in Immunologic research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
4.0field-weighted citation impact, top 6% 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

21 citing papers in PubMed, 35 citations in OpenAlex.

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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

1 author at 1 institution in 1 country.

Becky AdkinsDepartment of Microbiology and Immunology, University of Miami Miller School of Medicine, Miami, FL, 33136, USA, radkins@med.miami.edu.
University of Miami · US

Funding

Regulation of murine neonatal Th2 functionR01AI044923 · NIAID · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI ADKINS, REBECCA D · 2000 to 2010
$3.3M
Developmentally regulated epigenetic programs in fetal/neonatal T lineage cellsR56AI044923 · NIAID · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI ADKINS, REBECCA D · 2011 to 2011
$446k
The developing intestinal immune system in Yersinia enterocolitica infectionR21AI083461 · NIAID · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI ADKINS, REBECCA D · 2009 to 2010
$419k
NIAID NIH HHS AI044923NIAID NIH HHS AI083461
6 · The paper itself

Abstract

Neonatal animals have heightened susceptibility to infectious agents and are at increased risk for the development of allergic diseases, such as asthma. Experimental studies using animal models have been quite useful for beginning to identify the cellular and molecular mechanisms underlying these sensitivities. In particular, results from murine neonatal models indicate that developmental regulation of multiple immune cell types contributes to the typically poor responses of neonates to pathogenic microorganisms. Surprisingly, however, animal studies have also revealed that responses at mucosal surfaces in early life may be protective against primary or secondary disease. Our understanding of the molecular events underlying these processes is less well developed. Emerging evidence indicates that the functional properties of neonatal immune cells and the subsequent maturation of the immune system in ontogeny may be regulated by epigenetic phenomena. Here, we review recent findings from our group and others describing cellular responses to infection and developmentally regulated epigenetic processes in the newborn.

Indexed as

AnimalsAnimals, NewbornEpigenesis, GeneticHost-Pathogen InteractionsHumansImmunityInfant, Newborn

Identifiers

PMID24214026
OpenAlexW2084802063

What OpenQuestion holds

Textmetadata
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.