Purification and Characterization of Proteinaceous Thermostable α-Amylase Inhibitor from Sardinian Common Bean Nieddone Cultivar ( Phaseolus vulgaris L.).
Stefania PeddioSonia LorraiTinuccia DettoriCristina ContiniAlessandra OlianasBarbara ManconiAntonio RescignoPaolo ZuccaPublished in: Plants (Basel, Switzerland) (2024)
The increasing need for new treatments for obesity and diabetes has led to the development of new drugs and food supplements that could reduce carbohydrate absorption. Many starch blockers, based on common bean proteinaceous inhibitors against α-amylase (α-AI), are already present on the market. The extraction and purification of α-amylase inhibitor from a promising common bean cultivar from Sardinia (Nieddone) is described, highlighting the unique value of the Nieddone cultivar, particularly for its inhibitory activity on digestive enzymes and its complete lack of a hemagglutination effect on human red blood cells. The purification of α-AI involved two chromatographic steps (IEC and SEC) and was essential for revealing certain properties of the inhibitor. The purified inhibitor has a tetrameric structure (α 2 β 2 ) and a molecular weight of approximately 42 kDa, as determined by SEC and SDS-PAGE, confirming it as a lectin-like inhibitor. The identification of the α-AI sequence was obtained by bottom-up high-resolution mass spectrometry, which allowed us to identify a unique peptide from the α chain and six unique peptides from the β chains. α-AI exhibited an optimum temperature of around 40 °C and two pH optima at 5 and 6.5, respectively. Its remarkable stability at high temperatures was measured (approximately 25% of activity retained even after 5 h at 100 °C), whereas the raw extract lost its activity entirely after just 10 min at 90 °C. Thus, the purification process significantly enhances the thermal stability of α-AI. The demonstrated effectiveness of the purified α-AI against the α-amylase enzyme in pigs, humans and insects underscores the protein's potential for treating obesity and diabetes, as well as for managing insect pests.
Keyphrases
- artificial intelligence
- type diabetes
- metabolic syndrome
- insulin resistance
- high resolution mass spectrometry
- cardiovascular disease
- randomized controlled trial
- red blood cell
- weight loss
- weight gain
- endothelial cells
- machine learning
- systematic review
- oxidative stress
- body mass index
- deep learning
- high fat diet induced
- zika virus
- climate change
- high resolution
- skeletal muscle
- angiotensin converting enzyme
- solid phase extraction