Efficient Biosynthesis of Monacolin J through Enzymatic Hydrolysis Using a Recombinant Lovastatin Hydrolase

IF 2.8 4区 工程技术 Q2 ENGINEERING, CHEMICAL Processes Pub Date : 2024-09-18 DOI:10.3390/pr12092006
Wei He, Benshun Chen, Bin Yin, Jianren Ye, Yucai He
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Abstract

Simvastatin is a widely used statin medication that is commonly prescribed to lower cholesterol levels and reduce the risk of cardiovascular events. It is marketed under the brand name Zocor and is known for its effectiveness in treating high cholesterol and managing cardiovascular disease. Monacolin J is an important precursor used to synthesize simvastatin and is mainly produced by chemical methods in industry. Here, monacolin J was synthesized through an enzymatic method under optimized reaction conditions. One recombinant Escherichia coli BL21 (DE3) strain containing lovastatin hydrolase (encoded by CDV55_102090) from Aspergillus turcosus was constructed, which effectively transformed 100 g/L of lovastatin to monacolin J within 3.5 h at pH 8.0 and 30 °C, with a conversion rate of >99.8%. Furthermore, the T5010, the temperature at which the residual activity was half of the initial enzymatic activity after 10 min of heat treatment, was >50 °C, indicating the tremendous potential of this bioprocess for synthesizing monacolin J at an industrial scale.
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利用重组洛伐他汀水解酶通过酶水解高效生物合成莫那考林 J
辛伐他汀是一种广泛使用的他汀类药物,通常用于降低胆固醇水平和减少心血管事件的风险。它在市场上的品牌名称为 Zocor,因其在治疗高胆固醇和控制心血管疾病方面的功效而闻名。Monacolin J 是合成辛伐他汀的重要前体,主要通过化学方法在工业中生产。在此,我们在优化的反应条件下通过酶法合成了独活素 J。所构建的重组大肠杆菌BL21(DE3)菌株含有来自土曲霉的洛伐他汀水解酶(由CDV55_102090编码),在pH 8.0和30 °C条件下,3.5小时内能有效地将100克/升的洛伐他汀转化为莫纳可林J,转化率大于99.8%。此外,热处理 10 分钟后残余活性为初始酶活性一半的温度 T5010 >50℃,表明该生物工艺在工业规模合成单克灵 J 方面具有巨大潜力。
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来源期刊
Processes
Processes Chemical Engineering-Bioengineering
CiteScore
5.10
自引率
11.40%
发文量
2239
审稿时长
14.11 days
期刊介绍: Processes (ISSN 2227-9717) provides an advanced forum for process related research in chemistry, biology and allied engineering fields. The journal publishes regular research papers, communications, letters, short notes and reviews. Our aim is to encourage researchers to publish their experimental, theoretical and computational results in as much detail as necessary. There is no restriction on paper length or number of figures and tables.
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