A comprehensive review of the therapeutic potential of curcumin nanoformulations.

Today, due to the prevalence of various diseases such as the novel coronavirus (SARS-CoV-2), diabetes, central nervous system diseases, cancer, cardiovascular disorders, and so on, extensive studies have been conducted on therapeutic properties of natural and synthetic agents. A literature review on herbal medicine and commercial products in the global market showed that curcumin (Cur) has many therapeutic benefits compared to other natural ingredients. Despite the unique properties of Cur, its use in clinical trials is very limited. The poor biopharmaceutical properties of Cur such as short half-life in plasma, low bioavailability, poor absorption, rapid metabolism, very low solubility (at acidic and physiological pH), and the chemical instability in body fluids are major concerns associated with the clinical applications of Cur. Recently, nanoformulations are emerging as approaches to develop and improve the therapeutic efficacy of various drugs. Many studies have shown that Cur nanoformulations have tremendous therapeutic potential against various diseases such as SARS-CoV-2, cancer, inflammatory, osteoporosis, and so on. These nanoformulations can inhibit many diseases through several cellular and molecular mechanisms. However, successful long-term clinical results are required to confirm their safety and clinical efficacy. The present review aims to update and explain the therapeutic potential of Cur nanoformulations.

Facts and Figures on Materials Science and Nanotechnology Progress and Investment.

As the twenty-first century unfolds, nanotechnology is no longer just a buzzword in the field of materials science, but rather a tangible reality. This is evident from the surging number of commercial nanoproducts and their corresponding revenue generated in different industry sectors. However, it is important to recognize that sustainable growth of nanotechnology is heavily dependent on government funding and relevant national incentive programs. Consequently, proper analyses on publicly available nanotechnology data sets comprising information on the past two decades can be illuminating, facilitate development, and amend previous strategies as we move forward. Along these lines, classical statistics and machine learning (ML) allow processing large data sets to scrutinize patterns in materials science and nanotechnology research. Herein, we provide an analysis on nanotechnology progress and investment from an unbiased, computational vantage point and using orthogonal approaches. Our data reveal both well-established and surprising correlations in the nanotechnology field and its actors, including the interplay between the number of research institutes-industry, publications-patents, collaborative research, and top contributors to nanoproducts. Overall, data suggest that, supported by incentive programs set out by stakeholders (researchers, funding agencies, policy makers, and industry), nanotechnology could experience an exponential growth and become a centerpiece for economical welfare. Indeed, the recent success of COVID-19 vaccines is also likely to boost public trust in nanotechnology and its global impact over the coming years.