Proceedings of the conference BioSangam 2022: Emerging trends in Biotechnology (BIOSANGAM 2022)

Exploring Molecular Signatures in Spondyloarthritis: A Step Towards Early Diagnosis

Authors
Parinishtha Bhalla1, Anukriti Verma1, Bhawna Rathi1, *, Shivani Sharda1, Pallavi Somvanshi2
1Amity Institute of Biotechnology, J-3 Block, Amity University Campus, Sector-125, Noida, 201313, U.P., India
2School of Computational and Integrative Sciences (SC&IS), Jawaharlal Nehru University, JNU Campus, New Delhi, India
*Corresponding author. Email: brathi@amity.edu
Corresponding Author
Bhawna Rathi
Available Online 14 December 2022.
DOI
10.2991/978-94-6463-020-6_15How to use a DOI?
Keywords
Spondyloarthritis; bioinformatics; molecular signatures; markers; early diagnosis
Abstract

Spondyloarthritis is an acute inflammatory disorder of the musculoskeletal system often accompanied by pain, stiffness, bone and tissue damage. It majorly consists of ankylosing spondylitis, psoriatic arthritis and reactive arthritis. It follows a differential diagnosis pattern for demarcation between the spondyloarthritis subtypes and other arthritic subtypes such as rheumatoid arthritis, juvenile arthritis and osteoarthritis due to the heterogeneity causing gradual chronicity and complications. Presence of definite molecular markers can not only improve diagnosis efficiency but also aid in their prognosis and therapy. This study is an attempt to compose a refined list of such unique and common molecular signatures of the considered subtypes, by employing a reductionist approach amalgamating gene retrieval, protein-protein interaction network, functional, pathway, micro-RNA-gene and transcription factor-gene regulatory network analysis. Gene retrieval and protein-protein interaction network analysis resulted in unique and common interacting genes of arthritis subtypes. Functional annotation and pathway analysis found vital functions and pathways unique and common in arthritis subtypes. Furthermore, miRNA-gene and transcription factor-gene interaction networks retrieved unique and common miRNA’s and transcription factors in arthritis subtypes. Furthermore, the study identified important signatures of arthritis subtypes that can serve as markers assisting in prognosis, early diagnosis and personalized treatment of arthritis patients requiring validation via prospective experimental studies.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the conference BioSangam 2022: Emerging trends in Biotechnology (BIOSANGAM 2022)
Series
Advances in Biological Sciences Research
Publication Date
14 December 2022
ISBN
978-94-6463-020-6
ISSN
2468-5747
DOI
10.2991/978-94-6463-020-6_15How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Parinishtha Bhalla
AU  - Anukriti Verma
AU  - Bhawna Rathi
AU  - Shivani Sharda
AU  - Pallavi Somvanshi
PY  - 2022
DA  - 2022/12/14
TI  - Exploring Molecular Signatures in Spondyloarthritis: A Step Towards Early Diagnosis
BT  - Proceedings of the conference BioSangam 2022: Emerging trends in Biotechnology (BIOSANGAM 2022)
PB  - Atlantis Press
SP  - 142
EP  - 155
SN  - 2468-5747
UR  - https://doi.org/10.2991/978-94-6463-020-6_15
DO  - 10.2991/978-94-6463-020-6_15
ID  - Bhalla2022
ER  -