Desenvolvimento de rota sintética da Rosiglitazona em processo batelada e microrreator capilar / Rosiglitazone synthetic route development in batch process and capillary microreactor

Para que os fármacos possam ser comercializados economicamente, a sua escala de produção deve ser aumentada para atender à demanda do mercado. Atualmente, a maior parte dos fármacos são sintetizados em processos batelada que possuem limitações quanto à eficiência de mistura, temperatura e pressão. O uso de microrreatores surge como alternativa na indústria químico-farmacêutica, aumentando a eficiência dos processos de maneira segura. Ferramentas utilizadas no segmento computacional multidisciplinar teórico, como o DFT (Density Functional Theory), podem prever e compreender o comportamento das reações químicas, podendo ter grande utilidade na síntese de novos fármacos economizando tempo, investimento e reduzindo a geração de resíduos. A diabetes mellitus é uma doença de caráter epidêmico, que a cada ano vem aumentando o número de casos. O emprego de fármacos derivados das glitazonas no tratamento de diabetes mellitus tipo 2 é recomendado devido ao excelente controle glicêmico que esta classe de fármacos oferece. Neste trabalho, foi sintetizada a Rosiglitazona, um fármaco derivado das glitazonas, que auxilia no tratamento da diabetes mellitus tipo 2, sendo estudadas duas rotas de síntese distintas, que foram otimizadas com o intuito de maximizar o rendimento de seus intermediários, obtendo a Rosiglitazona com pureza de cerca de 94%. Foi realizada, para os intermediários, aqui denominados, 1R, 2R2 e 3R2 a síntese one-pot e para os intermediários 1R, 2R1 e 3R2 foi realizada a transposição do processo usual em batelada para fluxo contínuo no microrreator, com rendimentos de até 93%. Com o auxílio da química quântica computacional, a reação de síntese do intermediário 1R, foi elucidada teoricamente e determinadas as grandezas termodinâmicas (ΔH‡, ΔG‡ e ΔS‡) no estado de transição, que foram comparadas com os valores experimentais, sendo constatada uma boa concordância, com desvio máximo de 14%

In order for drugs to be commercialized economically, their production scale must be increased to meet market demand. Currently, most drugs are synthesized in batch processes that have limitations in terms of mixing efficiency, temperature and pressure. The use of microreactors appears as an alternative in the chemical-pharmaceutical industry, increasing the efficiency of the synthesis processes in a safe way. Tools used in the theoretical multidisciplinary computational segment, such as DFT (Density Functional Theory), can predict and understand the behavior of chemical reactions, and can be very useful in the synthesis of new drugs, saving time, investment and reducing waste generation. Diabetes mellitus is an epidemic disease that has been increasing the number of cases every year. The use of drugs derived from glitazones in the treatment of type 2 diabetes mellitus is recommended due to the excellent glycemic control that this class of drugs offers. In this work, Rosiglitazone, a drug derived from glitazones, which helps in the treatment of type 2 diabetes mellitus, was synthesized. Two different synthetic routes were studied and optimized in order to maximize the yield of its intermediates, obtaining Rosiglitazone with purity of about 94%. One-pot synthesis was performed to 1R, 2R2 and 3R2 intermediates, and the transposition from the usual batch process to continuous flow in microreactor was performed to 1R, 2R1 and 3R2 intermediates, with yields of up to 93%. With the aid of computational quantum chemistry, the intermediate 1R synthesis reaction was theoretically elucidated and the thermodynamic properties were determined (ΔH‡, ΔG‡ and ΔS‡) in the transition state, which were compared with the experimental results, obtaining good agreement, with a maximum deviation of 14%.

Health Literacy, Self-management Activities, and Glycemic Control Among Adults With Type 2 Diabetes: A Path Analysis.

PURPOSE: This study evaluated a novel composite measure of health literacy and numeracy by assessing its predictive validity for diabetes self-care activities and glycemic control. METHODS: Patients (N = 102) with type 2 diabetes were recruited from a family medicine clinic at an academic medical center. Combined health literacy was assessed by combining the results of the Health Literacy Scale and the Subjective Numeracy Scale. Self-management activities were assessed by the Summary of Diabetes Self-Care Activities scale. Hemoglobin A1c (A1c) values were extracted from patients' medical records to assess glycemic control. Path models were used to test the predicted pathways linking health literacy and numeracy, independently and together, to self-management activities and glycemic control. RESULTS: The mean combined literacy score was 72.0 (range, 33-104); the mean health literacy score alone was 43.9 (range, 14-56); and the mean numeracy score alone was 28.1 (range, 8-48). The direct effects results showed that the combined health literacy score (B = 0.107, P < .05) and the health literacy score alone (B = 0.234, P < .05) were significantly associated with self-care activities. The health literacy score alone also had a significant direct effect on A1c (B = -0.081, P < .05). The indirect effects of the combined health literacy on glycemic control through self-care activities were not statistically significant. CONCLUSIONS: Findings from this study suggest that the combined health literacy has predictive validity for self-care activities whereas the health literacy alone has predictive validity for glycemic control. More research is needed to validate these findings. Higher patient health literacy skills were not consistently associated with higher perceived numeracy skills. Additional attention and efforts should be made to make sure patients understand medical instructions involving numerical calculations.