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© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

Simple Summary

Cancer therapy today has benefited from multifaceted approaches in early detection and diagnosis, but weak prognosis still hinders progress, as it is a barricade for guaranteed successful treatment. The present study checks the anticancer properties of AMPs, or antimicrobial peptides, isolated from Sphaeranthus amaranthoides, a traditional medicinal plant in a fibroblast cell line. A technique named ‘de novo’ sequencing was used for identifying the biological potential of the isolated molecule. That molecule was administered in zebrafish embryos. The zebrafish was used as a model organism, as it has close proximity with humans. One specific peptide biomolecule out of 86 peptides showed promising anticancer properties. Therefore, from the results, that specific biomolecule, upon detailed analyses of other parameters, can be taken for upscaling purposes in the pharmaceutical sector for early cancer therapy.

Abstract

Though there are several advancements and developments in cancer therapy, the treatment remains challenging. In recent years, the antimicrobial peptides (AMPs) from traditional herbs are focused for identifying and developing potential anticancer molecules. In this study, AMPs are identified from Sphaeranthus amaranthoides, a natural medicinal herb widely used as a crucial immune stimulant in Indian medicine. A total of 86 peptide traces were identified using liquid-chromatography–electrospray-ionisation mass spectrometry (LC-ESI-MS). Among them, three peptides were sequenced using the manual de novo sequencing technique. The in-silico prediction revealed that SA923 is a cyclic peptide with C-N terminal interaction of the carbon atom of ASP7 with the nitrogen atom of GLU1 (1ELVFYRD7). Thus, SA923 is presented under the orbitides class of peptides, which lack the disulfide bonds for cyclization. In addition, SA923, steered with the physicochemical properties and support vector machine (SVM) algorithm mentioned for the segment, has the highest in silico anticancer potential. Further, the in vitro cytotoxicity assay revealed the peptide has anti-proliferative activity, and toxicity studies were demonstrated in Danio rerio (zebrafish) embryos.

Details

Title
Biological Activity of Cyclic Peptide Extracted from Sphaeranthus amaranthoides Using De Novo Sequencing Strategy by Mass Spectrometry for Cancer
Author
Swarnalatha Yanamadala 1 ; Sivakumar Shanthirappan 2   VIAFID ORCID Logo  ; Kannan, Sidhika 3 ; Narendran Chiterasu 3   VIAFID ORCID Logo  ; Subramanian, Kumaran 4 ; Lamya Ahmed Al-Keridis 5 ; Upadhyay, Tarun Kumar 6   VIAFID ORCID Logo  ; Alshammari, Nawaf 7 ; Saeed, Mohd 7   VIAFID ORCID Logo  ; Guru Prasad Srinivasan 8 ; Karunakaran, Rohini 9   VIAFID ORCID Logo 

 Department of Biotechnology, Sathyabama Institute of Science and Technology, Chennai 600119, India 
 Department of Gunapadam, National Institute of Siddha, Chennai 600047, India 
 Centre for Nanoscience and Nanotechnology, Sathyabama Institute of Science and Technology, Chennai 600119, India 
 Centre for Drug Discovery and Development, Sathyabama Institute of Science and Technology, Chennai 600119, India 
 Department Biology, College of Science, Princess Nourah Bint Abdulrahman University, Riyadh P.O. Box 84428, Saudi Arabia 
 Department of Biotechnology, Parul Institute of Applied Sciences and Centre of Research for Development, Parul University, Vadodara 391760, India 
 Department of Biology, College of Science University of Hail, Hail P.O. Box 2440, Saudi Arabia 
 Centre for Research, Bharath Institute for Higher Education and Research, Chennai 600073, India 
 Unit of Biochemistry, Faculty of Medicine, AIMST University, Bedong 08100, Malaysia; Centre for Excellence for Biomaterials Science, AIMST University, Bedong 08100, Malaysia; Department of Computational Biology, Saveetha School of Engineering, SIMATS, Chennai 602105, India 
First page
412
Publication year
2023
Publication date
2023
Publisher
MDPI AG
e-ISSN
20797737
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2791571079
Copyright
© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.