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"Drug development"
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Antibiotic development — economic, regulatory and societal challenges
Antibiotic resistance is undoubtedly one of the greatest challenges to global health, and the emergence of resistance has outpaced the development of new antibiotics. However, investments by the pharmaceutical industry and biotechnology companies for research into and development of new antibiotics are diminishing. The public health implications of a drying antibiotic pipeline are recognized by policymakers, regulators and many companies. In this Viewpoint article, seven experts discuss the challenges that are contributing to the decline in antibiotic drug discovery and development, and the national and international initiatives aimed at incentivizing research and the development of new antibiotics to improve the economic feasibility of antibiotic development.In this Viewpoint article, seven experts discuss the challenges that are contributing to the decline in antibiotic drug discovery and development, and the international and national initiatives aimed at incentivizing research and the development of new antibiotics to improve the economic feasibility of antibiotic development.
Journal Article
The Innovation Paradox in Emerging Pharmaceutical Markets: Barriers and Opportunities for Sustainable Development
Emerging pharmaceutical markets like Brazil, India, and China have seen significant growth due to rising medication demand, expanding middle-class access, and government support. However, this growth often focuses on cost-driven strategies like generic drug production rather than innovation. Challenges such as fragmented regulatory systems, limited infrastructure, low R&D budgets, and dependence on imported active pharmaceutical ingredients (APIs) limit global competitiveness in drug innovation. R&D investment in these markets rarely exceeds 5% of revenue, compared to 20% in established markets, widening the innovation gap. Advanced technologies such as physiologically based pharmacokinetic (PBPK) modeling, artificial intelligence (AI), and virtual bioequivalence studies present opportunities to overcome these barriers. These tools streamline drug development, lower costs, and improve regulatory processes. For instance, a case study on generic donepezil showed that a $150,000 investment in PBPK modeling software could yield returns of 113.7% when clinical studies are required and 1,120% if a biowaiver is granted. These results demonstrate the financial and operational advantages of adopting innovative technologies, enabling faster market entry and scalability across portfolios. By embracing advanced tools, companies in emerging markets can align with global regulatory trends, enhance sustainability through resource efficiency, and improve access to affordable medicines. This approach bridges the gap between economic growth and technological leadership, fostering global competitiveness and contributing to public health advancements.
Journal Article
Network-based prediction of drug combinations
Drug combinations, offering increased therapeutic efficacy and reduced toxicity, play an important role in treating multiple complex diseases. Yet, our ability to identify and validate effective combinations is limited by a combinatorial explosion, driven by both the large number of drug pairs as well as dosage combinations. Here we propose a network-based methodology to identify clinically efficacious drug combinations for specific diseases. By quantifying the network-based relationship between drug targets and disease proteins in the human protein–protein interactome, we show the existence of six distinct classes of drug–drug–disease combinations. Relying on approved drug combinations for hypertension and cancer, we find that only one of the six classes correlates with therapeutic effects: if the targets of the drugs both hit disease module, but target separate neighborhoods. This finding allows us to identify and validate antihypertensive combinations, offering a generic, powerful network methodology to identify efficacious combination therapies in drug development.
Combination therapy holds great promise, but discovery remains challenging. Here, the authors propose a method to identify efficacious drug combinations for specific diseases, and find that successful combinations tend to target separate neighbourhoods of the disease module in the human interactome.
Journal Article
Folinic acid improves verbal communication in children with autism and language impairment: a randomized double-blind placebo-controlled trial
We sought to determine whether high-dose folinic acid improves verbal communication in children with non-syndromic autism spectrum disorder (ASD) and language impairment in a double-blind placebo control setting. Forty-eight children (mean age 7 years 4 months; 82% male) with ASD and language impairment were randomized to receive 12 weeks of high-dose folinic acid (2 mg kg-1 per day, maximum 50 mg per day; n=23) or placebo (n=25). Children were subtyped by glutathione and folate receptor-α autoantibody (FRAA) status. Improvement in verbal communication, as measured by a ability-appropriate standardized instrument, was significantly greater in participants receiving folinic acid as compared with those receiving placebo, resulting in an effect of 5.7 (1.0,10.4) standardized points with a medium-to-large effect size (Cohen's d=0.70). FRAA status was predictive of response to treatment. For FRAA-positive participants, improvement in verbal communication was significantly greater in those receiving folinic acid as compared with those receiving placebo, resulting in an effect of 7.3 (1.4,13.2) standardized points with a large effect size (Cohen's d=0.91), indicating that folinic acid treatment may be more efficacious in children with ASD who are FRAA positive. Improvements in subscales of the Vineland Adaptive Behavior Scale, the Aberrant Behavior Checklist, the Autism Symptom Questionnaire and the Behavioral Assessment System for Children were significantly greater in the folinic acid group as compared with the placebo group. There was no significant difference in adverse effects between treatment groups. Thus, in this small trial of children with non-syndromic ASD and language impairment, treatment with high-dose folinic acid for 12 weeks resulted in improvement in verbal communication as compared with placebo, particularly in those participants who were positive for FRAAs.
Journal Article
Cancer therapies based on targeted protein degradation — lessons learned with lenalidomide
For decades, anticancer targeted therapies have been designed to inhibit kinases or other enzyme classes and have profoundly benefited many patients. However, novel approaches are required to target transcription factors, scaffolding proteins and other proteins central to cancer biology that typically lack catalytic activity and have remained mostly recalcitrant to drug development. The selective degradation of target proteins is an attractive approach to expand the druggable proteome, and the selective oestrogen receptor degrader fulvestrant served as an early example of this concept. Following a long and tragic history in the clinic, the immunomodulatory imide drug (IMiD) thalidomide was discovered to exert its therapeutic activity via a novel and unexpected mechanism of action: targeting proteins to an E3 ubiquitin ligase for subsequent proteasomal degradation. This discovery has paralleled and directly catalysed myriad breakthroughs in drug development, leading to the rapid maturation of generalizable chemical platforms for the targeted degradation of previously undruggable proteins. Decades of clinical experience have established front-line roles for thalidomide analogues, including lenalidomide and pomalidomide, in the treatment of haematological malignancies. With a new generation of ‘degrader’ drugs currently in development, this experience provides crucial insights into class-wide features of degraders, including a unique pharmacology, mechanisms of resistance and emerging therapeutic opportunities. Herein, we review these past experiences and discuss their application in the clinical development of novel degrader therapies.The discovery that the anticancer activity of thalidomide and its analogues, such as lenalidomide, reflects drug-induced degradation of specific target proteins has heightened interest in novel ‘degrader’ drugs. Herein, the authors review the wide and expanding use of thalidomide analogues in the treatment of multiple cancers and outline how lessons learned from this experience, particularly with lenalidomide, can guide the clinical development of new targeted protein degradation platforms.
Journal Article