ArticleCPT: pharmacometrics & systems pharmacology2014
A systems pharmacology perspective on the clinical development of Fatty Acid amide hydrolase inhibitors for pain.
Article in CPT: pharmacometrics & systems pharmacology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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.
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.
Who cites it
11 citing papers in PubMed, 26 citations in OpenAlex.
- Systems biology platform for efficient development and translation of multitargeted therapeutics.Frontiers in systems biology · 2023Article
- CYTOCON: The manually curated database of human in vivo cell and molecule concentrations.CPT: pharmacometrics & systems pharmacology · 2023Article
- The endocannabinoid system - current implications for drug development.Journal of internal medicine · 2021Review
- Progress in pain medicine: where are we now?British journal of anaesthesia · 2019Article
- Quantitative Systems Pharmacology: An Exemplar Model-Building Workflow With Applications in Cardiovascular, Metabolic, and Oncology Drug Development.CPT: pharmacometrics & systems pharmacology · 2019Review
- [Cannabinoids in pain medicine].Schmerz (Berlin, Germany) · 2018Article
- An evaluation of the operational model when applied to quantify functional selectivity.British journal of pharmacology · 2018Article
- Target and Tissue Selectivity Prediction by Integrated Mechanistic Pharmacokinetic-Target Binding and Quantitative Structure Activity Modeling.The AAPS journal · 2017Article
- Methodologies for Quantitative Systems Pharmacology (QSP) Models: Design and Estimation.CPT: pharmacometrics & systems pharmacology · 2017Article
- Systems approaches in osteoarthritis: Identifying routes to novel diagnostic and therapeutic strategies.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2017Article
- Sobol Sensitivity Analysis: A Tool to Guide the Development and Evaluation of Systems Pharmacology Models.CPT: pharmacometrics & systems pharmacology · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 4 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The level of the endocannabinoid anandamide is controlled by fatty acid amide hydrolase (FAAH). In 2011, PF-04457845, an irreversible inhibitor of FAAH, was progressed to phase II clinical trials for osteoarthritic pain. This article discusses a prospective, integrated systems pharmacology model evaluation of FAAH as a target for pain in humans, using physiologically based pharmacokinetic and systems biology approaches. The model integrated physiological compartments; endocannabinoid production, degradation, and disposition data; PF-04457845 pharmacokinetics and pharmacodynamics, and cannabinoid receptor CB1-binding kinetics. The modeling identified clear gaps in our understanding and highlighted key risks going forward, in particular relating to whether methods are in place to demonstrate target engagement and pharmacological effect. The value of this modeling exercise will be discussed in detail and in the context of the clinical phase II data, together with recommendations to enable optimal future evaluation of FAAH inhibitors.CPT: Pharmacometrics Systems Pharmacology (2014) 3, e91; doi:10.1038/psp.2013.72; published online 15 January 2014.
Identifiers
What OpenQuestion holds
Registered trials
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.