Quantifying the Modulation of Elastase Enzyme Activity Through Colorimetric Analysis.

IF 1.2 4区 综合性期刊 Q3 MULTIDISCIPLINARY SCIENCES Jove-Journal of Visualized Experiments Pub Date : 2025-01-17 DOI:10.3791/67331
Francisco Javier Álvarez-Martínez, María Herranz-López, Enrique Barrajón-Catalán, Vicente Micol
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引用次数: 0

Abstract

Elastase, a serine protease, plays an essential role in elastin degradation. Elastin is an extracellular protein that helps maintain tissue elasticity in the lungs, skin, and blood vessels. Tight regulation of elastase activity is crucial for tissue homeostasis, as dysregulation can contribute to pathologies such as emphysema, wrinkles, and atherosclerosis. Some compounds, such as naturally occurring phytochemicals, have shown potential for therapeutic intervention and have attracted significant interest. Elucidating the modulatory effects of different compounds on elastase, whether inhibitory or stimulatory, is crucial for developing novel therapeutic and cosmetic strategies targeting elastase-associated disorders. A widely accepted method for measuring elastase activity is the colorimetric elastase assay. In this assay, a specific substrate is used to break down elastase, releasing a detectable yellow compound, p-nitroaniline (pNA). The amount of pNA produced reflects elastase activity in the sample and can be measured by colorimetry. This assay offers several benefits, including simplicity, high sensitivity, rapid results, and adaptability to various research needs. The colorimetric elastase assay remains a valuable tool for studying how compounds impact elastase activity. Due to its ease of use and effectiveness, this assay is a cornerstone of research in this field.

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来源期刊
Jove-Journal of Visualized Experiments
Jove-Journal of Visualized Experiments MULTIDISCIPLINARY SCIENCES-
CiteScore
2.10
自引率
0.00%
发文量
992
期刊介绍: JoVE, the Journal of Visualized Experiments, is the world''s first peer reviewed scientific video journal. Established in 2006, JoVE is devoted to publishing scientific research in a visual format to help researchers overcome two of the biggest challenges facing the scientific research community today; poor reproducibility and the time and labor intensive nature of learning new experimental techniques.
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