RESUMEN
Formaldehyde (FA) is a commercially important chemical applied in industry and scientific research. However, FA has a distinct impact on learning and memory. Although the mechanisms of FA toxicity have been well studied, additional research is required to establish the mechanisms of neuroprotection in cases of FA exposure. Docosahexaenoic acid (DHA) is a polyunsaturated fatty acid with a variety of health benefits, including the enhancement of learning and memory. In this study, we investigated the neuroprotective effects of DHA in Drosophila melanogaster that had ingested FA. Our data suggested that DHA enhanced reproductive processes, leading to an increase in the number of eggs, larvae, and adults. Surprisingly, we found that DHA had a mild protective effect against FA-induced impairments in learning and memory.
RESUMEN
The Severe Acute Respiratory Syndrome (SARS) is a serious life-threatening and strikingly mortal respiratory illness caused by SARS-CoV. SARS-CoV which contains a chymotrypsin-like main protease analogous to that of the main picornavirus protease, 3CL(pro). 3CL(pro) plays a pivotal role in the viral replication cycle and is a potential target for SARS inhibitor development. A series of isatin derivatives as possible SARS-CoV 3CL(pro) inhibitors was designed, synthesized, and evaluated by in vitro protease assay using fluorogenic substrate peptide, in which several showed potent inhibition against the 3CL(pro). Structure-activity relationship was analyzed, and possible binding interaction modes were proposed by molecular docking studies. Among all compounds, 8k1 showed most potent inhibitory activity against 3CL(pro) (IC50=1.04 µM). These results indicated that these inhibitors could be potentially developed into anti-SARS drugs.
Asunto(s)
Isatina/síntesis química , Inhibidores de Proteasas/química , Coronavirus Relacionado al Síndrome Respiratorio Agudo Severo/efectos de los fármacos , Humanos , Isatina/química , Estructura Molecular , Inhibidores de Proteasas/farmacología , Coronavirus Relacionado al Síndrome Respiratorio Agudo Severo/metabolismo , Relación Estructura-ActividadRESUMEN
A new ST segment analysis scheme is developed for helping the doctors to browse the electrocardiogram (ECG) signals rapidly and then give a correct diagnosis. The preprocessing consists of baseline wander attenuation using median filter, high frequency noise rejection using order statistic filter, and then QRS complexes detection using wavelet analysis. In this paper, after the beginnings and the ends of the ST segments are mutually chosen by doctor, we compute the total deviations between ST segments and the modified baselines using mean value, and then plot the whole trend of the deviations. Doctors can browse the original ECG signals handily by our browsing system, and then give a diagnosis colligating other clinic features of the patient.