RESUMO
Active inflammatory arthritis in pregnancy is associated with an increased risk of adverse pregnancy outcomes. Treatment of active inflammation and maintenance of low disease activity with medication reduces these risks. Therapeutic decisions on disease-modifying antirheumatic drugs (DMARDs) in pregnancy are complicated by safety concerns, which have led to inappropriate withdrawal of treatment and consequential harm to mother and fetus. Studies of inflammatory arthritis in pregnancy have consistently shown minimal safety concerns with the use of biological DMARDs and an increased risk of disease flare with discontinuation of biological DMARDs. It is our opinion that during pregnancy, the benefits of disease control with biological DMARDs, when required in addition to conventional synthetic DMARDs, outweigh the risks. In this Series paper, we review the reasons for reconsideration of equipoise and propose an agenda for future research to optimise the use of biological DMARDs in inflammatory arthritis during pregnancy.
Assuntos
Antirreumáticos , Artrite Reumatoide , Complicações na Gravidez , Humanos , Gravidez , Feminino , Antirreumáticos/uso terapêutico , Antirreumáticos/efeitos adversos , Complicações na Gravidez/tratamento farmacológico , Artrite Reumatoide/tratamento farmacológico , Produtos Biológicos/uso terapêutico , Produtos Biológicos/efeitos adversos , Resultado da Gravidez/epidemiologiaRESUMO
The combination of computational design and directed evolution could offer a general strategy to create enzymes with new functions. So far, this approach has delivered enzymes for a handful of model reactions. Here we show that new catalytic mechanisms can be engineered into proteins to accelerate more challenging chemical transformations. Evolutionary optimization of a primitive design afforded an efficient and enantioselective enzyme (BH32.14) for the Morita-Baylis-Hillman (MBH) reaction. BH32.14 is suitable for preparative-scale transformations, accepts a broad range of aldehyde and enone coupling partners and is able to promote selective monofunctionalizations of dialdehydes. Crystallographic, biochemical and computational studies reveal that BH32.14 operates via a sophisticated catalytic mechanism comprising a His23 nucleophile paired with a judiciously positioned Arg124. This catalytic arginine shuttles between conformational states to stabilize multiple oxyanion intermediates and serves as a genetically encoded surrogate of privileged bidentate hydrogen-bonding catalysts (for example, thioureas). This study demonstrates that elaborate catalytic devices can be built from scratch to promote demanding multi-step processes not observed in nature.
Assuntos
Proteínas , Catálise , Ligação de Hidrogênio , Conformação Molecular , EstereoisomerismoRESUMO
OBJECTIVES: Up to 70-80% of patients use inhalers incorrectly. Dry-powder inhalers (DPIs) require forceful inhalation for optimal delivery, and approximately 40% of Global Initiative for Asthma (GINA)-defined Step-3+ patients inhale corticosteroid and long-acting beta-agonist through DPIs. The CRITIKAL study (Price et al. in J Allergy Clin Immunol Pract 5:1071-e9-1081-e9, 2017) found a statistically significant association between 'insufficient inspiratory effort' error and increased risk of uncontrolled asthma and hospitalisation-requiring exacerbations. This paper explores the cost-effectiveness of an error-targeted intervention. METHODS: A probabilistic Markov cost-utility model simulated patients transitioning between controlled and uncontrolled health states over one year. Odds ratios (ORs, from the CRITIKAL study) of a patient having uncontrolled asthma conditional on making the error were applied to baseline transition probabilities sourced from the literature, both indirectly via an adjustment formula (Zhang et al. in JAMA 280:1690-1691, 1998) and directly by assuming OR approximates relative risk (RR). The analysis explored complete/partial eradication of the error when the intervention was priced to match comparators, as well as impact of indirect costs based on lost/reduced productivity. RESULTS: The intervention dominated both DPI comparators over one year, with direct cost savings of £45/£86 with 0.0053/0.0102 additional quality-adjusted life years (QALYs), and had the highest probability of being cost-effective at a £20,000/QALY threshold. Key factors driving variance were weekly utilities per state and RR of moving to an uncontrolled state. CONCLUSION: The analysis demonstrated the economic and societal costs of 'insufficient inspiratory effort' and potential economic benefits of introducing an effective intervention to reduce/eradicate this error. Further research should assess the economic impact of other handling errors.