Evidence map›Paper›PMID 22581565›Full record

ReviewWiley interdisciplinary reviews. Systems biology and medicine

Systems pharmacology, pharmacogenetics, and clinical trial design in network medicine.

Elliott Antman, Scott Weiss, Joseph Loscalzo

Abstract readReview
In one paragraph

Review in Wiley interdisciplinary reviews. Systems biology and medicine. 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
–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

21 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Systems Biology and Experimental Model Systems of Cancer.Journal of personalized medicine · 2020
    Review
  6. Article
  7. Review
  8. Review
  9. Biomarker definitions and their applications.Experimental biology and medicine (Maywood, N.J.) · 2018
    Review
  10. Review
  11. Article
  12. Precision medicine in cardiology.Nature reviews. Cardiology · 2016
    Review
  13. Review
  14. Article
  15. Article
  16. Genetics and the placebo effect: the placebome.Trends in molecular medicine · 2015
    Review
  17. Systems biology for molecular life sciences and its impact in biomedicine.Cellular and molecular life sciences : CMLS · 2013
    Review
  18. Article
  19. Review
  20. Systems medicine: evolution of systems biology from bench to bedside.Wiley interdisciplinary reviews. Systems biology and medicine
    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.

Elliott AntmanDepartment of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Scott Weiss
Joseph Loscalzo

Funding

THE PHARMACOGENETICS OF ASTHMA TREATMENTU01HL065899 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI TANTISIRA, KELAN G, WEISS, SCOTT T · 2000 to 2014
$38.5M
Tissue AnalysesP01HL048743 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI GLADYSHEV, VADIM N. · 1992 to 2014
$26.3M
Single Molecule Analysis of Sickle Erythrocyte Adhesion in Sickle Cell DiseaseU54HL070819 · NHLBI · BOSTON MEDICAL CENTER · PI LEOPOLD, JANE A · 2003 to 2011
$12.5M
GPx-3 and Peroxide Flux in the Endothelial CellR37HL061795 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI LOSCALZO, JOSEPH · 2007 to 2016
$4.3M
The Phathophenotype Landscape of Complex DiseaseU01HL108630 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI LOSCALZO, JOSEPH · 2011 to 2014
$2.7M
PLATELET DERIVED REACTIVE OXYGEN SPECIES AND PLAQUER01HL061795 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI LOSCALZO, JOSEPH · 1998 to 2006
$1.6M
Targeted Delivery of Progenitor Cells to the LungP50HL107192 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI CHOI, AUGUSTINE M, LOSCALZO, JOSEPH · 2011 to 2012
$1.0M
NHLBI NIH HHS HL0655899NHLBI NIH HHS HL107192NHLBI NIH HHS HL108630NHLBI NIH HHS HL48743NHLBI NIH HHS HL61795NHLBI NIH HHS HL70819NHLBI NIH HHS P01 HL048743NHLBI NIH HHS P50 HL107192NHLBI NIH HHS R01 HL061795NHLBI NIH HHS R37 HL061795NHLBI NIH HHS U01 HL065899NHLBI NIH HHS U01 HL108630NHLBI NIH HHS U54 HL070819
6 · The paper itself

Abstract

The rapidly growing disciplines of systems biology and network science are now poised to meet the fields of clinical medicine and pharmacology. Principles of systems pharmacology can be applied to drug design and, ultimately, testing in human clinical trials. Rather than focusing exclusively on single drug targets, systems pharmacology examines the holistic response of a phenotype-dependent pathway or pathways to drug perturbation. Knowledge of individual pharmacogenetic profiles further modulates the responses to these drug perturbations, moving the field toward more individualized ('personalized') drug development. The speed with which the information required to assess these system responses and their genomic underpinnings is changing and the importance of identifying the optimal drug or drug combinations for maximal benefit and minimal risk require that clinical trial design strategies be adaptable. In this paper, we review the tenets of adaptive clinical trial design as they may apply to an era of expanding knowledge of systems pharmacology and pharmacogenomics, and clinical trail design in network medicine.

Indexed as

PharmacogeneticsAnimalsClinical Trials as TopicGenome-Wide Association StudyHumansPharmaceutical PreparationsPolymorphism, Single NucleotideQuantitative Trait LociRNA, UntranslatedPharmaceutical PreparationsRNA, Untranslated

Identifiers

PMID22581565
PMCPMC3783940

What OpenQuestion holds

Textmetadata
LicenceTDM
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.