Over the last 15 years, the majority of malaria drug discovery and development efforts have focused on new molecules and regimens to treat patients with uncomplicated or severe disease. In addition, a number of new molecular scaffolds have been discovered which block the replication of the parasite in the liver, offering the possibility of new tools for oral prophylaxis or chemoprotection, potentially with once-weekly dosing. However, an intervention which requires less frequent administration than this would be a key tool for the control and elimination of malaria. Recent progress in HIV drug discovery has shown that small molecules can be formulated for injections as native molecules or pro-drugs which provide protection for at least 2 months. Advances in antibody engineering offer an alternative approach whereby a single injection could potentially provide protection for several months. Building on earlier profiles for uncomplicated and severe malaria, a target product profile is proposed here for an injectable medicine providing long-term protection from this disease. As with all of such profiles, factors such as efficacy, cost, safety and tolerability are key, but with the changing disease landscape in Africa, new clinical and regulatory approaches are required to develop prophylactic/chemoprotective medicines. An overall framework for these approaches is suggested here.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6211409PMC
http://dx.doi.org/10.1186/s12936-018-2549-1DOI Listing

Publication Analysis

Top Keywords

discovery development
8
drug discovery
8
uncomplicated severe
8
provide protection
8
injectable anti-malarials
4
anti-malarials revisited
4
revisited discovery
4
development agents
4
agents protect
4
malaria
4

Similar Publications

Metabolic Profiling: A Perspective on the Current Status, Challenges, and Future Directions.

Methods Mol Biol

January 2025

Division of Systems Medicine, Department of Metabolism, Digestion and Reproduction, Imperial College, London, UK.

Metabolic profiling continues to develop, and research is now conducted on this topic globally in hundreds of laboratories, from small groups up to national centers and core facilities. Here we briefly provide a perspective on the current status and challenges facing metabolic phenotyping (metabonomics/metabolomics) and consider future directions for this important area of biomarker and systems biology research.

View Article and Find Full Text PDF

Ammonia is a product of amino acid metabolism that accumulates in the blood of patients with liver cirrhosis, leading to neurotoxic effects and hepatic encephalopathy (HE). HE manifestations can range from mild, subclinical disturbances in cognition, or minimal HE (mHE) to gross disorientation and coma, a condition referred to as overt HE. Many blood-based biomarkers reflecting these neurotoxic effects of ammonia and liver disease can be measured in the blood allowing the development of new biomarkers to diagnose cirrhosis patients at risk of developing HE.

View Article and Find Full Text PDF

Hypospadias, a common congenital anomaly of male genitalia, shows significant heritability and familial recurrence, particularly in consanguineous families. This study explored the role of KMT2C polymorphisms in a Yemeni family with two affected siblings. Comprehensive analysis identified 475 unique SNPs in KMT2C, with 59 shared between parents, suggesting common ancestry.

View Article and Find Full Text PDF

Lichen planus is a chronic skin lesion characterized by pruritic violaceous papules, which has a high risk of morbidity. Skin microbiota plays an important role in the maintenance of cutaneous mucosal barrier and human health and immune homeostasis. Studies have shown that skin microbiota may play a role in the pathogenesis of lichen planus, but it is not yet clear.

View Article and Find Full Text PDF

Future Directions for Quantitative Systems Pharmacology.

Handb Exp Pharmacol

January 2025

Genentech Inc, South San Francisco, CA, USA.

In this chapter, we envision the future of Quantitative Systems Pharmacology (QSP) which integrates closely with emerging data and technologies including advanced analytics, novel experimental technologies, and diverse and larger datasets. Machine learning (ML) and Artificial Intelligence (AI) will increasingly help QSP modelers to find, prepare, integrate, and exploit larger and diverse datasets, as well as build, parameterize, and simulate models. We picture QSP models being applied during all stages of drug discovery and development: During the discovery stages, QSP models predict the early human experience of in silico compounds created by generative AI.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!