School of Pharmacy


Professor Moghimi has a perspective article published in Nature Nanotechnology

On the issue of transparency and reproducibility in nanomedicine


Inconsistencies in nanomaterials reporting standards have major roots in inadequate training and lack of familiarity with relevant biological and analytical methodologies and their limitations when applied to the bio–nano arena.  The experienced bio–nano researcher is well aware of the heterogeneity surrounding nanomaterial production and the challenges regarding nanomaterial characterization, and hence appreciates stochastic biological performance. Since this is science of diverse complexity, standardizing methodology and reporting will be a daunting task.  Additionally, inception of data repositories will fuel frustration.  Equivocal standardization may slow down innovation, especially where nanoparticles act as functional tools for fundamental studies in biology. Notwithstanding, there are numerous publications from the ‘drug delivery’ community that go well beyond the proposed ‘minimum reporting standard’ and thoroughly report on nanomaterials characteristics and experimental conditions.  Some of these studies have further assessed biological performance through systematic approaches and identified attributes that led to better production of viable, reproducible, affordable and clinically acceptable formulations.  The pharmaceutical industry has further highlighted challenges in production, characterization and regulatory tasks surrounding the so-called nano-similars.  We must openly acknowledge and embrace the experience and wealth of knowledge present within this community and implement them into the broader bio–nano arena.  Thus, the proposed mandatory checklist and a nanomaterial repository for data organization fall short of a working conceptual framework, will be too restrictive and, at the extreme, may violate an author’s right to proprietary information. Focusing on strategies that could better train interdisciplinary scientists in biological and analytical techniques, including validation approaches to methodology optimization, is a more important solution.


The full article can be found here

published on: 19 July 2019