Evidence map›Paper›PMID 10656877›Full record

ArticleMolecular medicine (Cambridge, Mass.)1999

Pharmacogenomics of the cystic fibrosis transmembrane conductance regulator (CFTR) and the cystic fibrosis drug CPX using genome microarray analysis.

M Srivastava, O Eidelman, H B Pollard

Open access · bronzeAbstract read
In one paragraph

Article in Molecular medicine (Cambridge, Mass.), 1999. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
8.6field-weighted citation impact, top 2% 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

13 citing papers in PubMed, 67 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Human lung project: evaluating variance of gene expression in the human lung.American journal of respiratory cell and molecular biology · 2006
    Article
  7. Article
  8. Digitoxin mimics gene therapy with CFTR and suppresses hypersecretion of IL-8 from cystic fibrosis lung epithelial cells.Proceedings of the National Academy of Sciences of the United States of America · 2004
    Article
  9. Haploinsufficiency of Anx7 tumor suppressor gene and consequent genomic instability promotes tumorigenesis in the Anx7(+/-) mouse.Proceedings of the National Academy of Sciences of the United States of America · 2003
    Article
  10. Review
  11. Pharmacogenomics of cystic fibrosis.Molecular interventions · 2001
    Review
  12. Article
  13. 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

3 authors at 1 institution in 1 country.

M SrivastavaDepartment of Anatomy and Cell Biology, and Institute for Molecular Medicine, USU School of Medicine, USUHS, Bethesda, MD 20814, USA.
O Eidelman
H B Pollard
Uniformed Services University of the Health Sciences · US

Funding

Regulation of Proinflammatory Signaling Pathways in CFTRR01DK053051 · NIDDK · HENRY M. JACKSON FDN FOR THE ADV MIL/MED · PI POLLARD, HARVEY BRUCE · 1998 to 2010
$2.6M
NIDDK NIH HHS R01-DK53051
6 · The paper itself

Abstract

backgroundCystic fibrosis (CF) is the most common lethal recessive disease affecting children in the U.S. and Europe. For this reason, a number of ongoing attempts are being made to treat the disease either by gene therapy or pharmacotherapy. Several phase 1 gene therapy trials have been completed, and a phase 2 clinical trial with the xanthine drug CPX is in progress. The protein coded by the principal CFTR mutation, DeltaF508-CFTR, fails to traffic efficiently from the endoplasmic reticulum to the plasma membrane, and is the pathogenic basis for the missing cAMP-activated plasma membrane chloride channel. CPX acts by binding to the mutant DeltaF508-CFTR and correcting the trafficking deficit. CPX also activates mutant CFTR channels. The comparative genomics of wild-type and mutant CFTR has not previously been studied. However, we have hypothesized that the gene expression patterns of human cells expressing mutant or wild-type CFTR might differ, and that a drug such as CPX might convert the mutant gene expression pattern into one more characteristic of wild-type CFTR. To the extent that this is true, a pharmacogenomic profile for such corrective drugs might be deduced that could simplify the process of drug discovery for CF. MATERIALS AND

methodsTo test this hypothesis we used cDNA microarrays to study global gene expression in human cells permanently transfected with either wild-type or mutant CFTR. We also tested the effects of CPX on global gene expression when incubated with cells expressing either mutant or wild-type CFTR.

resultsWild-type and mutant DeltaF508-CFTR induce distinct and differential changes in cDNA microarrays, significantly affecting up to 5% of the total genes in the array. CPX also induces substantial mutation-dependent and -independent changes in gene expression. Some of these changes involve movement of gene expression in mutant cells in a direction resembling expression in wild-type cells.

conclusionsThese data clearly demonstrate that cDNA array analysis of cystic fibrosis cells can yield useful pharmacogenomic information with significant relevance to both gene and pharmacological therapy. We suggest that this approach may provide a paradigm for genome-based surrogate endpoint testing of CF therapeutics prior to human administration.

Indexed as

Oligonucleotide Array Sequence AnalysisCell LineCystic FibrosisCystic Fibrosis Transmembrane Conductance RegulatorDNA, ComplementaryGene Expression RegulationGenesHumansMutationRecombinant Fusion ProteinsTransfectionXanthines1,3-dipropyl-8-cyclopentylxanthineCFTR protein, humanCystic Fibrosis Transmembrane Conductance Regulatorcystic fibrosis transmembrane conductance regulator delta F508DNA, ComplementaryRecombinant Fusion ProteinsXanthines

Identifiers

PMID10656877
PMCPMC2230479
OpenAlexW94525945

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Registered trials

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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.