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Employing in silico investigations to determine the cross-kingdom approach for Curcuma longa miRNAs and their human targets.
Saiyed, Atiyabanu N; Vasavada, Abhay R; Johar, S R Kaid.
  • Saiyed AN; Department of Cell and Molecular Biology, Iladevi Cataract and IOL Research Centre, Ahmedabad, Gujarat India.
  • Vasavada AR; Ph.D. Scholar of Manipal Academy of Higher Education, Manipal, Karnataka India.
  • Johar SRK; Department of Cell and Molecular Biology, Iladevi Cataract and IOL Research Centre, Ahmedabad, Gujarat India.
Beni Suef Univ J Basic Appl Sci ; 12(1): 3, 2023.
Article in English | MEDLINE | ID: covidwho-2196568
ABSTRACT

Background:

Plant elements and extracts have been used for centuries to treat a wide range of diseases, from cancer to modern lifestyle ailments like viral infections. These plant-based miRNAs have the capacity to control physiological and pathological conditions in both humans and animals, and they might be helpful in the detection and treatment of a variety of diseases. The present study investigates the miRNA of the well-known spice Curcuma Longa and its prospective targets using a variety of bioinformatics techniques.

Results:

Using the integrative database of animal, plant, and viral microRNAs known as miRNEST 2.0, nine C. longa miRNAs were predicted. psRNA target service foretells the presence of 23 human target genes linked to a variety of disorders. By interacting with a variety of cellular and metabolic processes, miRNAs 167, 1525, and 756 have been found to be critical regulators of tumour microenvironment. SARS-cov2 and influenza A virus regulation have been connected to ZFP36L1 from miRNA 1525 and ETV5 from miRNA 756, respectively.

Conclusions:

The current cross-kingdom study offers fresh knowledge about how to increase the effectiveness of plant-based therapies for disease prevention and serves as a platform for in vitro and in vivo research development.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study / Prognostic study / Randomized controlled trials Language: English Journal: Beni Suef Univ J Basic Appl Sci Year: 2023 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study / Prognostic study / Randomized controlled trials Language: English Journal: Beni Suef Univ J Basic Appl Sci Year: 2023 Document Type: Article