Geo-Environmental Factors and the Effectiveness of Mulberry Leaf Extract in Managing Malaria: A Study in Purulia District, West Bengal, India

Author:

Pradhan Sayantan1,Hore Samrat2,Roy Stabak2,Manna Simi3,Dam Paulami1,Mondal Rittick1,Ghati Amit4,Biswas Trishanjan1,Sharma Supriya5,Singh Waikhom Somraj2,Maji Suman Kumar6,Roy Sankarsan7,Basu Aparajita8,Pandey Kailash C5,Samanta Soumadri9,Vashisht Kapil5,Dolai Tuphan Kanti10,Kundu Pratip Kumar11,Mitra Saptarshi2,Biswas Debasish1,Shokriyan Masuma12,Maity Amit Bikram13,Mandal Amit Kumar1,Ince Ikbal Agah12

Affiliation:

1. Raiganj University

2. Tripura University

3. Vidyasagar University

4. Barrackpore Rastraguru Surendranath College

5. National Institute of Malaria Research

6. Deben Mahata Government Medical College and Hospital

7. PH & CD Branch, Office of the Chief Medical Officer of Health

8. University of Calcutta

9. Institute of Nano Science and Technology

10. Nil Ratan Sircar Medical College and Hospital

11. Santiniketan Medical College

12. Acıbadem University

13. Post Graduate Institute of Medical Education and Research

Abstract

Abstract Malaria prevalence has become medically important as well as a socioeconomic impediment for the endemic regions, including Purulia, West Bengal. Geo-environmental variables, humidity, altitude, and land use patterns are responsible for malaria. For surveillance of the endemic nature of Purulia’s blocks, statistical and spatiotemporal factors analysis have been done here. Also, a novel approach for the Pf malaria treatment using methanolic leaf extract of Morus alba S1 has significantly reduced the parasite load. The EC50 value (1.852) of the methanolic extract of M. alba S1 with P. falciparum 3D7 strain is close to the EC50 value (0.998) of the standard drug chloroquine with the same chloroquine-sensitive strain. Further studies with an in-silico model have shown successful interaction between DHFR and the leaf extract. Both 1-octadecyne and oxirane interacted favourably, which was depicted through GC-MS analysis. The predicted binary logistic regression model will help the policy makers for epidemiological surveillance in malaria-prone areas worldwide when substantial climate variables create a circumstance favourable for malaria. From the in vitro and in silico studies, it can be concluded that the methanolic extract of M. alba S1 leaves is promising and may play an influential role in the Pf malaria treatment in the near future.

Publisher

Research Square Platform LLC

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3