| Literature DB >> 31914647 |
Barbara C Sorkin1, Adam J Kuszak1, Gregory Bloss2, Naomi K Fukagawa3, Freddie Ann Hoffman4, Mahtab Jafari5, Bruce Barrett6, Paula N Brown7, Frederic D Bushman8, Steven J Casper9, Floyd H Chilton10, Christopher S Coffey11, Mario G Ferruzzi12, D Craig Hopp13, Mairead Kiely14, Daniel Lakens15, John B MacMillan16, David O Meltzer17, Marco Pahor18, Jeffrey Paul19, Kathleen Pritchett-Corning20, Sara K Quinney21, Barbara Rehermann22, Kenneth D R Setchell23, Nisha S Sipes24, Jacqueline M Stephens25, D Lansing Taylor26, Hervé Tiriac27, Michael A Walters28, Dan Xi29, Giovanna Zappalá30, Guido F Pauli31.
Abstract
While great interest in health effects of natural product (NP) including dietary supplements and foods persists, promising preclinical NP research is not consistently translating into actionable clinical trial (CT) outcomes. Generally considered the gold standard for assessing safety and efficacy, CTs, especially phase III CTs, are costly and require rigorous planning to optimize the value of the information obtained. More effective bridging from NP research to CT was the goal of a September, 2018 transdisciplinary workshop. Participants emphasized that replicability and likelihood of successful translation depend on rigor in experimental design, interpretation, and reporting across the continuum of NP research. Discussions spanned good practices for NP characterization and quality control; use and interpretation of models (computational through in vivo) with strong clinical predictive validity; controls for experimental artefacts, especially for in vitro interrogation of bioactivity and mechanisms of action; rigorous assessment and interpretation of prior research; transparency in all reporting; and prioritization of research questions. Natural product clinical trials prioritized based on rigorous, convergent supporting data and current public health needs are most likely to be informative and ultimately affect public health. Thoughtful, coordinated implementation of these practices should enhance the knowledge gained from future NP research.Entities:
Keywords: clinical predictive validity; dietary supplements; model systems; rigor and replicability; value of information
Mesh:
Substances:
Year: 2019 PMID: 31914647 PMCID: PMC7470648 DOI: 10.1096/fj.201902143R
Source DB: PubMed Journal: FASEB J ISSN: 0892-6638 Impact factor: 5.834