Evidence map›Paper›PMID 29127295›Full record

ArticleScientific reports2017

Clinical Potential of an Enzyme-based Novel Therapy for Cocaine Overdose.

Ting Zhang, Xirong Zheng, Ziyuan Zhou, Xiabin Chen, Zhenyu Jin, Jing Deng, Chang-Guo Zhan, Fang Zheng

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

24 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
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  5. Review
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  9. Article
  10. Article
  11. Enzyme Therapy: Current Challenges and Future Perspectives.International journal of molecular sciences · 2021
    Review
  12. Article
  13. Article
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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 1 institution in 1 country.

Ting ZhangMolecular Modeling and Biopharmaceutical Center, College of Pharmacy, University of Kentucky, 789 South Limestone Street, Lexington, KY, 40536, USA.
Xirong ZhengMolecular Modeling and Biopharmaceutical Center, College of Pharmacy, University of Kentucky, 789 South Limestone Street, Lexington, KY, 40536, USA.
Ziyuan ZhouMolecular Modeling and Biopharmaceutical Center, College of Pharmacy, University of Kentucky, 789 South Limestone Street, Lexington, KY, 40536, USA.
Xiabin ChenMolecular Modeling and Biopharmaceutical Center, College of Pharmacy, University of Kentucky, 789 South Limestone Street, Lexington, KY, 40536, USA.
Zhenyu JinMolecular Modeling and Biopharmaceutical Center, College of Pharmacy, University of Kentucky, 789 South Limestone Street, Lexington, KY, 40536, USA.
Jing DengMolecular Modeling and Biopharmaceutical Center, College of Pharmacy, University of Kentucky, 789 South Limestone Street, Lexington, KY, 40536, USA.
Chang-Guo ZhanMolecular Modeling and Biopharmaceutical Center, College of Pharmacy, University of Kentucky, 789 South Limestone Street, Lexington, KY, 40536, USA. zhan@uky.edu.
Fang ZhengMolecular Modeling and Biopharmaceutical Center, College of Pharmacy, University of Kentucky, 789 South Limestone Street, Lexington, KY, 40536, USA. fzhen2@email.uky.edu.
University of Kentucky · US

Funding

Long-lasting cocaine-metabolizing enzyme for cocaine addiction treatmentR01DA035552 · NIDA · UNIVERSITY OF KENTUCKY · PI ZHAN, CHANG-GUO · 2013 to 2015
$3.4M
High-activity mutants of cocaine esterase for treatment of drug addictionR01DA025100 · NIDA · UNIVERSITY OF KENTUCKY · PI LANDRY, DONALD W, WOODS, JAMES H · 2008 to 2012
$2.5M
Redesign of Butyrylcholinesterase for Cocaine MetabolismR01DA013930 · NIDA · UNIVERSITY OF KENTUCKY · PI ZHAN, CHANG-GUO · 2003 to 2010
$2.4M
Development of Long-acting Cocaine Hydrolase as a Treatment for Cocaine AbuseUH2DA041115 · NIDA · UNIVERSITY OF KENTUCKY · PI ZHAN, CHANG-GUO · 2015 to 2016
$2.2M
Development of a Cocaine-Metabolizing Enzyme for Drug Overdose TreatmentR01DA032910 · NIDA · UNIVERSITY OF KENTUCKY · PI ZHAN, CHANG-GUO · 2012 to 2015
$1.8M
NIDA NIH HHS R01 DA013930NIDA NIH HHS R01 DA025100NIDA NIH HHS R01 DA032910NIDA NIH HHS R01 DA035552NIDA NIH HHS UH2 DA041115
6 · The paper itself

Abstract

It is a grand challenge to develop a truly effective medication for treatment of cocaine overdose. The current available, practical emergence treatment for cocaine overdose includes administration of a benzodiazepine anticonvulsant agent (e.g. diazepam) and/or physical cooling with an aim to relieve the symptoms. The inherent difficulties of antagonizing physiological effects of drugs in the central nervous system have led to exploring protein-based pharmacokinetic approaches using biologics like vaccines, monoclonal antibodies, and enzymes. However, none of the pharmacokinetic agents has demonstrated convincing preclinical evidence of clinical potential for drug overdose treatment without a question mark on the timing used in the animal models. Here we report the use of animal models, including locomotor activity, protection, and rescue experiments in rats, of drug toxicity treatment with clinically relevant timing for the first time. It has been demonstrated that an efficient cocaine-metabolizing enzyme developed in our previous studies can rapidly reverse the cocaine toxicity whenever the enzyme is given to a living rat, demonstrating promising clinical potential of an enzyme-based novel therapy for cocaine overdose as a successful example in comparison with the commonly used diazepam.

Indexed as

AnimalsCarboxylic Ester HydrolasesCHO CellsCocaine-Related DisordersCricetulusDisease Models, AnimalDrug Evaluation, PreclinicalDrug OverdoseHumansMaleRatsRats, Sprague-DawleyCarboxylic Ester Hydrolasescocaine esterase

Identifiers

PMID29127295
PMCPMC5681513
OpenAlexW2767725402

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.