Pharmacokinetic-Pharmacodynamic Evidence From a Phase 3 Trial to Support Flat-Dosing of Rifampicin for Tuberculosis.

BACKGROUND: The optimal dosing strategy for rifampicin in treating drug-susceptible tuberculosis (TB) is still highly debated. In the phase 3 clinical trial Study 31/ACTG 5349 (NCT02410772), all participants in the control regimen arm received 600 mg rifampicin daily as a flat dose. Here, we evaluated relationships between rifampicin exposure and efficacy and safety outcomes. METHODS: We analyzed rifampicin concentration time profiles using population nonlinear mixed-effects models. We compared simulated rifampicin exposure from flat- and weight-banded dosing. We evaluated the effect of rifampicin exposure on stable culture conversion at 6 months; TB-related unfavorable outcomes at 9, 12, and 18 months using Cox proportional hazard models; and all trial-defined safety outcomes using logistic regression. RESULTS: Our model-derived rifampicin exposure ranged from 4.57 mg · h/L to 140.0 mg · h/L with a median of 41.8 mg · h/L. Pharmacokinetic simulations demonstrated that flat-dosed rifampicin provided exposure coverage similar to the weight-banded dose. Exposure-efficacy analysis (n = 680) showed that participants with rifampicin exposure below the median experienced similar hazards of stable culture conversion and TB-related unfavorable outcomes compared with those with exposure above the median. Exposure-safety analysis (n = 722) showed that increased rifampicin exposure was not associated with increased grade 3 or higher adverse events or serious adverse events. CONCLUSIONS: Flat-dosing of rifampicin at 600 mg daily may be a reasonable alternative to the incumbent weight-banded dosing strategy for the standard-of-care 6-month regimen. Future research should assess the optimal dosing strategy for rifampicin, at doses higher than the current recommendation.

siRNA Therapeutics for the Therapy of COVID-19 and Other Coronaviruses.

The ongoing pandemic of global concern has killed about three million humans and affected around 151 million people worldwide, as of April 30, 2021. Although recently approved vaccines for COVID-19 are engendering hope, finding new ways to cure the viral pandemic is still a quest for researchers worldwide. Major pandemics in history have been of viral origin, such as SARS, MERS, H1NI, Spanish flu, and so on. A larger emphasis has been on discovering potential vaccines, novel antiviral drugs, and agents that can mitigate the viral infection symptoms; however, a relatively new area, RNA interference (RNAi), has proven effective as an antiviral agent. The RNAi phenomenon has been largely exploited to cure cancer, neurodegenerative diseases, and some rare diseases. The U.S. Food and Drug Administration has recently approved three siRNA products for human use that garner significant hope in siRNA therapeutics for coronaviruses. There have been some commentaries and communications addressing this area. We have summarized and illustrated the significance and the potential of the siRNA therapeutics available as of April 30, 2021 to combat the ongoing viral pandemic and the emerging new variants such as B.1.1.7 and B.1.351. Numerous successful in vitro studies and several investigations to address the clinical application of siRNA therapeutics provide great hope in this field. This seminal Review describes the significance of siRNA-based therapy to treat diverse viral infections in addition to the current coronavirus challenge. In addition, we have thoroughly reviewed the patents approved for coronaviruses, the major challenges in siRNA therapy, and the potential approaches to address them, followed by innovation and prospects.

Characterisation of digital therapeutic clinical trials: a systematic review with natural language processing.

Digital therapeutics (DTx) are a somewhat novel class of US Food and Drug Administration-regulated software that help patients prevent, manage, or treat disease. Here, we use natural language processing to characterise registered DTx clinical trials and provide insights into the clinical development landscape for these novel therapeutics. We identified 449 DTx clinical trials, initiated or expected to be initiated between 2010 and 2030, from ClinicalTrials.gov using 27 search terms, and available data were analysed, including trial durations, locations, MeSH categories, enrolment, and sponsor types. Topic modelling of eligibility criteria, done with BERTopic, showed that DTx trials frequently exclude patients on the basis of age, comorbidities, pregnancy, language barriers, and digital determinants of health, including smartphone or data plan access. Our comprehensive overview of the DTx development landscape highlights challenges in designing inclusive DTx clinical trials and presents opportunities for clinicians and researchers to address these challenges. Finally, we provide an interactive dashboard for readers to conduct their own analyses.