Evidence map›Paper›PMID 20886389›Full record

ReviewCurrent opinion in molecular therapeutics2010

Gene therapy from the perspective of systems biology.

Feilim Mac Gabhann, Brian H Annex, Aleksander S Popel

Abstract readReview
In one paragraph

Review in Current opinion in molecular therapeutics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
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

17 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Systems biology of the microvasculature.Integrative biology : quantitative biosciences from nano to macro · 2015
    Review
  8. A systems biology view of blood vessel growth and remodelling.Journal of cellular and molecular medicine · 2014
    Review
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Theoretical models for coronary vascular biomechanics: progress & challenges.Progress in biophysics and molecular biology · 2011
    Review
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.

Feilim Mac GabhannJohns Hopkins University School of Medicine, Department of Biomedical Engineering, 720 Rutland Avenue, Baltimore, MD 21205, USA.
Brian H Annex
Aleksander S Popel

Funding

Systems Biology of Angiogenesis in Peripheral Arterial DiseaseR01HL101200 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI POPEL, ALEKSANDER S. · 2010 to 2022
$10.7M
Predictive experiment-based multiscale models of the tumor immune microenvironment and immunotherapy in breast cancerR01CA138264 · NCI · JOHNS HOPKINS UNIVERSITY · PI POPEL, ALEKSANDER S. · 2009 to 2023
$8.1M
Endothelial cell decisions integrate soluble and matrix-bound VEGF gradientsR00HL093219 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI MAC GABHANN, FEILIM C · 2009 to 2011
$746k
NCI NIH HHS R01 CA138264NHLBI NIH HHS R00 HL093219NHLBI NIH HHS R01 HL101200
6 · The paper itself

Abstract

Gene therapy research has expanded from its original concept of replacing absent or defective DNA with functional DNA to include the manipulation (increase or decrease) of gene expression by the delivery of modified genes, siRNA or other genetic material via multiple vectors, including naked plasmid DNA, viruses and even cells. Specific tissues or cell types are targeted in order to decrease the risks of systemic or side effects. As with the development of any drug, there is an amount of empiricism in the choice of gene target, route of administration, dosing and, in particular, the scaling-up from preclinical models to clinical trials. High-throughput experimental and computational systems biology studies that account for the complexities of host-disease-therapy interactions hold significant promise in assisting in the development and optimization of gene therapies, including personalized therapies and the identification of biomarkers to evaluate the success of such strategies. This review describes some of the obstacles and successes in gene therapy, using the specific example of growth factor gene delivery to promote angiogenesis and blood vessel remodeling in ischemic diseases; anti-angiogenic gene therapy in cancer is also discussed. In addition, the opportunities for systems biology and in silico modeling to improve on current outcomes are highlighted.

Indexed as

Clinical Trials as TopicComputational BiologyCoronary Artery DiseaseGenetic TherapyHumansModels, TheoreticalPeripheral Arterial DiseaseSystems Biology

Identifiers

PMID20886389
PMCPMC3021921

What OpenQuestion holds

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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.