Related Experiment Video
Updated: Feb 20, 2026

Using Reference Reagents to Confirm Robustness of Cytokine Release Assays for the Prediction of Monoclonal Antibody Safety
Published on: September 15, 2023
Methods for randomized, blinded, controlled evaluation of putative disease interventions in multilaboratory,
Jessica Lamb1, Karisma Nagarkatti2, Marcio A Diniz3,4
1Department of Physiology and Neuroscience of the Zilkha Neurogenetic Institute of the Keck School of Medicine, Los Angeles, CA, USA. lambj@usc.edu.
Abstract:
Science faces a reproducibility crisis, and public trust in science declines when large clinical trials, which had been qualified by promising preclinical studies, fail. While some clinical trial designs may have been inadequate, preclinical assessments of disease interventions might have lacked key elements of rigor such as treatment concealment, randomization, blinded outcomes, prespecified and adequate sample sizes, and models including comorbidities. Here, to demonstrate feasibility and practicality of enhanced rigor in preclinical assessment, we designed a six-laboratory network that implemented rigorous study elements, using acute ischemic stroke for demonstration. This network enrolled 2,615 rodents in 5 different models and implemented a multistage, multiarm statistical design that sequentially eliminated candidate interventions during interim analyses. The methods included centralized intervention packaging, randomization, data quality assessment and data archiving. Blinded analysis of 9,274 video-recorded behavioral tasks and 3,652 magnetic resonance images were evaluated. All tools and protocols are presented and could be adapted to preclinical assessment in other disease areas.
Insights
Implementing enhanced rigor in preclinical studies, like randomization and blinded outcomes, can improve the reliability of scientific research. This approach, demonstrated in stroke models, offers a practical solution to the reproducibility crisis.
Area of Science:
- Neuroscience
- Translational Medicine
- Research Methodology
Background:
- The scientific community faces a reproducibility crisis, impacting public trust.
- Failures in large clinical trials often stem from inadequate preclinical study rigor.
- Preclinical assessments frequently lack essential elements like randomization, blinding, and adequate sample sizes.
Purpose of the Study:
- To demonstrate the feasibility and practicality of enhanced rigor in preclinical assessments.
- To establish a framework for improving the reliability of early-stage disease intervention research.
- To showcase the application of rigorous methods using acute ischemic stroke models.
Main Methods:
- A six-laboratory network was established to implement rigorous study elements.
- The study enrolled 2,615 rodents across 5 different acute ischemic stroke models.
- A multistage, multiarm statistical design with interim analyses was employed, alongside centralized intervention packaging, randomization, data quality assessment, and archiving.
Main Results:
- Rigorous study elements were successfully implemented across multiple laboratories and models.
- Centralized packaging, randomization, and data quality control measures were effective.
- Blinded analyses of extensive behavioral (9,274 tasks) and imaging (3,652 MRI) data were conducted.
Conclusions:
- Enhanced rigor in preclinical assessments is feasible and practical.
- The developed methods and protocols can be adapted for preclinical research in other disease areas.
- This approach offers a potential solution to improve the reliability of scientific findings and rebuild public trust.
More Related Videos
Related Concept Videos
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
Preclinical Development: Overview
Blinding
Blind Procedures
Bioequivalence Experimental Study Designs: Completely Randomized and Randomized Block Designs
Bioequivalence Experimental Study Designs: Repeated Measures, Cross-Over, Carry-Over, and Latin Square Designs

