Evidence map›Paper›PMID 31118097›Full record

ArticleBMC medical genomics2019

Transcriptional consequences of impaired immune cell responses induced by cystic fibrosis plasma characterized via dual RNA sequencing.

Justin E Ideozu, Vittobai Rangaraj, Hiam Abdala-Valencia, Xi Zhang, Manoj Kandpal, Marc A Sala, Ramana V Davuluri, Hara Levy

Open access · goldAbstract read
In one paragraph

Article in BMC medical genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

7 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Differential effects of the cystic fibrosis lung inflammatory environment on mesenchymal stromal cells.American journal of physiology. Lung cellular and molecular physiology · 2020
    Article
  6. Article
  7. 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

8 authors at 2 institutions in 1 country.

Justin E IdeozuDivision of Pulmonary Medicine, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL, 60611, USA.
Vittobai RangarajDivision of Pulmonary Medicine, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL, 60611, USA.
Hiam Abdala-ValenciaNorthwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA.
Xi ZhangDivision of Pulmonary Medicine, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL, 60611, USA.
Manoj KandpalNorthwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA.
Marc A SalaNorthwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA.
Ramana V DavuluriNorthwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA.
Hara LevyDivision of Pulmonary Medicine, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL, 60611, USA. HLevy@luriechildrens.org.
Northwestern University · USLurie Children's Hospital · US

Funding

Northwestern University Clinical and Translational Science Institute (NUCATS)UL1TR001422 · NCATS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI D'AQUILA, RICHARD · 2015 to 2023
$56.8M
Informatics Platform for Mammalian Gene Regulation at Isoform-levelR01LM011297 · NLM · WISTAR INSTITUTE · PI DAVULURI, RAMANA V · 2013 to 2020
$2.4M
Integration of Genomics with Genetics - Molecular Phenotypes for CF Lung DiseaseDP2OD007031 · OD · MEDICAL COLLEGE OF WISCONSIN · PI LEVY, HARA · 2010 to 2010
$2.2M
NCATS NIH HHS UL1 TR001422NIH HHS DP2 OD007031NLM NIH HHS R01 LM011297
6 · The paper itself

Abstract

backgroundIn cystic fibrosis (CF), impaired immune cell responses, driven by the dysfunctional CF transmembrane conductance regulator (CFTR) gene, may determine the disease severity but clinical heterogeneity remains a major therapeutic challenge. The characterization of molecular mechanisms underlying impaired immune responses in CF may reveal novel targets with therapeutic potential. Therefore, we utilized simultaneous RNA sequencing targeted at identifying differentially expressed genes, transcripts, and miRNAs that characterize impaired immune responses triggered by CF and its phenotypes.

methodsPeripheral blood mononuclear cells (PBMCs) extracted from a healthy donor were stimulated with plasma from CF patients (n = 9) and healthy controls (n = 3). The PBMCs were cultured (1 × 10

resultsAnalysis of expression signatures from peripheral blood mononuclear cells induced by plasma of CF patients and healthy controls identified 151 genes, 154 individual transcripts, and 41 miRNAs differentially expressed in CF compared to HC while the expression signatures of 285 genes, 241 individual transcripts, and seven miRNAs differed due to CF phenotypes. Top immune pathways influenced by CF included agranulocyte adhesion, diapedesis signaling, and IL17 signaling, while those influenced by CF phenotypes included natural killer cell signaling and PI3K signaling in B lymphocytes. Upstream regulator analysis indicated dysregulation of CCL5, NF-κB and IL1A due to CF while dysregulation of TREM1 and TP53 regulators were associated with CF phenotype. Five miRNAs showed inverse expression patterns with three target genes relevant in CF-associated impaired immune pathways while two miRNAs showed inverse expression patterns with two target genes relevant to a dysregulated immune pathway associated with CF phenotypes.

conclusionsOur results indicate that miRNAs and individual transcript variants are relevant molecular targets contributing to impaired immune cell responses in CF.

Indexed as

Sequence Analysis, RNAAdolescentCase-Control StudiesChildCystic FibrosisFemaleGene Expression ProfilingHumansMaleMicroRNAsPhenotypeTranscription, GeneticMicroRNAsCystic fibrosisImmune responsemiRNAPBMCsRNA-Seq

Identifiers

PMID31118097
PMCPMC6532208
OpenAlexW2946851315

What OpenQuestion holds

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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.