Evidence map›Paper›PMID 15226496›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2004

Treating cocaine addiction with viruses.

M Rocio A Carrera, Gunnar F Kaufmann, Jenny M Mee, Michael M Meijler, George F Koob, Kim D Janda

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.

0numbers the graph read from it
0cells of the map it votes in
53citing 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

53 citing papers in PubMed.

  1. Review
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  7. Article
  8. Bacteriophages as Solid Tumor Theragnostic Agents.International journal of molecular sciences · 2021
    Review
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  12. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

M Rocio A CarreraDepartment of Chemistry, The Skaggs Institute for Chemical Biology, The Scripps Research Institute, 10550 North Torrey Pines Road, La Jolla, CA 92037, USA.
Gunnar F Kaufmann
Jenny M Mee
Michael M Meijler
George F Koob
Kim D Janda

Funding

Catalytic Antibodies as Therapy for Drug AddictionR01DA015700 · NIDA · SCRIPPS RESEARCH INSTITUTE, THE · PI JANDA, KIM D. · 2003 to 2006
$1.7M
NIDA NIH HHS DA015700NIDA NIH HHS R01 DA015700
6 · The paper itself

Abstract

Cocaine addiction continues to be a major health and social problem in the United States and other countries. Currently used pharmacological agents for treating cocaine abuse have proved inadequate, leaving few treatment options. An alternative is to use protein-based therapeutics that can eliminate the load of cocaine, thereby attenuating its effects. This approach is especially attractive because the therapeutic agents exert no pharmacodynamic action of their own and therefore have little potential for side effects. The effectiveness of these agents, however, is limited by their inability to act directly within the CNS. Bacteriophage have the capacity to penetrate the CNS when administered intranasally. Here, a method is presented for engineering filamentous bacteriophage to display cocaine-binding proteins on its surface that sequester cocaine in the brain. These antibody-displaying constructs were examined by using a locomotor activity rodent model to assess the ability of the phage-displayed proteins to block the psychoactive effects of cocaine. Results presented demonstrate a strategy in the continuing efforts to find effective treatments for cocaine addiction and suggest the application of this protein-based treatment for other drug abuse syndromes.

Indexed as

InovirusAdministration, IntranasalAnimalsBrainCocaineCocaine-Related DisordersDopamine Uptake InhibitorsMalePsychomotor AgitationRatsRats, WistarCocaineDopamine Uptake Inhibitors

Identifiers

PMID15226496
PMCPMC478586

What OpenQuestion holds

Textmetadata
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.