Evidence map›Paper›PMID 26125632›Full record

ArticlePloS one2015

Dual Transcriptomic Profiling of Host and Microbiota during Health and Disease in Pediatric Asthma.

Marcos Pérez-Losada, Eduardo Castro-Nallar, Matthew L Bendall, Robert J Freishtat, Keith A Crandall

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed, 2 pooled it
6.6field-weighted citation impact, top 3% 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, 2 syntheses or guidelines pooled it, 107 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. A Review on the Nasal Microbiome and Various Disease Conditions for Newer Approaches to Treatments.Indian journal of otolaryngology and head and neck surgery : official publication of the Association of Otolaryngologists of India · 2023
    Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. RNA-Seq Data Processing in Plant-Pathogen Interaction System: A Case Study.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  15. Review
  16. Article
  17. Metatranscriptomics captures dynamic shifts in mycorrhizal coordination in boreal forests.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  18. Review
  19. Article
  20. 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

5 authors at 2 institutions in 3 countries.

Marcos Pérez-LosadaComputational Biology Institute, George Washington University, Ashburn, Virginia, United States of America; Division of Emergency Medicine, Children's National Medical Center, Washington, DC, United States of America; CIBIO-InBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto, Campus Agrário de Vairão, Vairão, Portugal.
Eduardo Castro-NallarComputational Biology Institute, George Washington University, Ashburn, Virginia, United States of America; Universidad Andrés Bello, Center for Bioinformatics and Integrative Biology, Facultad de Ciencias Biológicas, Santiago, Chile.
Matthew L BendallComputational Biology Institute, George Washington University, Ashburn, Virginia, United States of America.
Robert J FreishtatDivision of Emergency Medicine, Children's National Medical Center, Washington, DC, United States of America.
Keith A CrandallComputational Biology Institute, George Washington University, Ashburn, Virginia, United States of America.
George Washington University Virginia Campus · USChildren's National · US

Funding

Clinical and Translational Science Institute at Children's NationalUL1TR000075 · NCATS · CHILDREN'S RESEARCH INSTITUTE · PI GUAY-WOODFORD, LISA MARIE · 2012 to 2015
$13.7M
Vitamin D, Steroids, and Asthma in African American YouthR01MD007075 · NIMHD · CHILDREN'S RESEARCH INSTITUTE · PI FREISHTAT, ROBERT J · 2012 to 2016
$2.2M
K12 Career Development Program: Omics of Pediatric Lung Diseases in DCK12HL119994 · NHLBI · CHILDREN'S RESEARCH INSTITUTE · PI FREISHTAT, ROBERT J · 2013 to 2017
$1.3M
NCATS NIH HHS UL1 TR000075NCATS NIH HHS UL1TR000075NHLBI NIH HHS 5 K12 HL119994NHLBI NIH HHS K12 HL119994NIMHD NIH HHS R01 MD007075
6 · The paper itself

Abstract

backgroundHigh-throughput sequencing (HTS) analysis of microbial communities from the respiratory airways has heavily relied on the 16S rRNA gene. Given the intrinsic limitations of this approach, airway microbiome research has focused on assessing bacterial composition during health and disease, and its variation in relation to clinical and environmental factors, or other microbiomes. Consequently, very little effort has been dedicated to describing the functional characteristics of the airway microbiota and even less to explore the microbe-host interactions. Here we present a simultaneous assessment of microbiome and host functional diversity and host-microbe interactions from the same RNA-seq experiment, while accounting for variation in clinical metadata.

methodsTranscriptomic (host) and metatranscriptomic (microbiota) sequences from the nasal epithelium of 8 asthmatics and 6 healthy controls were separated in silico and mapped to available human and NCBI-NR protein reference databases. Human genes differentially expressed in asthmatics and controls were then used to infer upstream regulators involved in immune and inflammatory responses. Concomitantly, microbial genes were mapped to metabolic databases (COG, SEED, and KEGG) to infer microbial functions differentially expressed in asthmatics and controls. Finally, multivariate analysis was applied to find associations between microbiome characteristics and host upstream regulators while accounting for clinical variation. RESULTS AND DISCUSSION: Our study showed significant differences in the metabolism of microbiomes from asthmatic and non-asthmatic children for up to 25% of the functional properties tested. Enrichment analysis of 499 differentially expressed host genes for inflammatory and immune responses revealed 43 upstream regulators differentially activated in asthma. Microbial adhesion (virulence) and Proteobacteria abundance were significantly associated with variation in the expression of the upstream regulator IL1A; suggesting that microbiome characteristics modulate host inflammatory and immune systems during asthma.

Indexed as

AdolescentAdultAsthmaBacterial AdhesionBase SequenceBiodiversityChildFemaleGene Expression ProfilingHigh-Throughput Nucleotide SequencingHost-Pathogen InteractionsHumansInterleukin-1alphaMaleMicrobiotaMoraxella catarrhalisIL1A protein, humanInterleukin-1alphaRNA, Ribosomal, 16S

Identifiers

PMID26125632
PMCPMC4488395
OpenAlexW831568968

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.