Orphan drug development: Challenges, regulation, and success stories.

Rare diseases, also known as orphan diseases, are diseases with low occurrence in the population. Developing orphan drugs is challenging because of inadequate financial and scientific resources and insufficient subjects to run clinical trials. With advances in genome sequencing technologies, emergence of cell and gene therapies, and the latest developments in regulatory pathways, some orphan drugs that have curative potential have been approved. In India, due to its large population and resource crunch, developing orphan drugs is phenomenally challenging. After adopting the Orphan Drug Act, the US-FDA has continuously made advances in regulatory pathways for orphan drugs. Particularly, n-of-one clinical trials have been successful in some cases. India has recently adopted policies that have impacted the long-neglected rare-disease ecosystem; however, there is no clear regulatory path for orphan drug development in India. We have proposed a multi-pronged approach involving close collaboration between the government, regulatory bodies, industries, and patient advocacy groups to boost orphan drug development in India. We believe that rapidly evolving technologies and business models can enable better and faster development of novel orphan drugs in India and other resource-constrained countries.

Metabolomics of natural samples: A tutorial review on the latest technologies.

Metabolomics is the study of metabolites present in a living system. It is a rapidly growing field aimed at discovering novel compounds, studying biological processes, diagnosing diseases, and ensuring the quality of food products. Recently, the analysis of natural samples has become important to explore novel bioactive compounds and to study how environment and genetics affect living systems. Various metabolomics techniques, databases, and data analysis tools are available for natural sample metabolomics. However, choosing the right method can be a daunting exercise because natural samples are heterogeneous and require untargeted approaches. This tutorial review aims to compile the latest technologies to guide an early-career scientist on natural sample metabolomics. First, different extraction methods and their pros and cons are reviewed. Second, currently available metabolomics databases and data analysis tools are summarized. Next, recent research on metabolomics of milk, honey, and microbial samples is reviewed. Finally, after reviewing the latest trends in technologies, a checklist is presented to guide an early-career researcher on how to design a metabolomics project. In conclusion, this review is a comprehensive resource for a researcher planning to conduct their first metabolomics analysis. It is also useful for experienced researchers to update themselves on the latest trends in metabolomics.