Publications by authors named "M J Figueiredo"

A huge challenge after the emergence of COVID-19 has been the discovery of effective antiviral drugs. Although remdesivir (RDV) emerged as one of the most promising drugs, its pharmaceutical formulation Veklury® is limited by moderate efficacy, high toxicity and need for parenteral administration. The aim of the present work was to develop a liposomal formulation of RDV for pulmonary administration and evaluate its efficacy in models of COVID-19.

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Introduction: Severe acute respiratory syndrome coronavirus infection is responsible for multisystemic disease and has high transmissibility. It culminated in a pandemic, challenging scientific knowledge and care capacity. Neurological symptoms are highly prevalent, and cases of encephalitis have been described, in both peri- and postinfectious periods.

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Background: Accessory pathways (AP) are associated with an increased risk of atrioventricular reentry tachycardia (AVRT), presenting as a wide QRS tachycardia if the mechanism is antidromic. Rarely, AVRT may not respond to adenosine, suggesting a duodromic mechanism if the patient has multiple APs. Herein, we present a case of a male patient with multiple APs, wide QRS complex tachycardia, and resistance to adenosine.

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Background: Human genetic variants can affect TB and HIV drug metabolism, which may lead to toxicity or treatment failure. We evaluated associations between genetic variants of antiretroviral therapy (ART) and HIV-1 outcomes among TB/HIV patients.

Methods: We included RePORT-Brazil participants with TB/HIV who initiated standard TB treatment [2 months of isoniazid/rifampicin (or rifabutin)/pyrazinamide/ethambutol, then 4 months or more of isoniazid/rifampicin (or rifabutin)], and ART.

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There are insufficient predictors of progression to tuberculosis among contacts. A case-control study within RePORT-Brazil matched 20 QuantiFERON-positive progressors and 40 non-progressors by sex, age, and exposure duration. Twenty-nine cytokines were measured by Luminex in QuantiFERON-TB Gold Plus supernatants collected at baseline and evaluated using machine learning for tuberculosis prediction.

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