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An Update on Clinical and Pathogenic Spectra of Leishmaniasis

Published online by Cambridge University Press:  31 March 2025

Angamuthu Selvapandiyan*
Affiliation:
Department of Molecular Medicine, Jamia Hamdard University, New Delhi, India
Shital Shital
Affiliation:
Department of Molecular Medicine, Jamia Hamdard University, New Delhi, India
Diya A’gitok Sangma
Affiliation:
Department of Biochemistry, Central University of Punjab, Bathinda, India
Manju Jain
Affiliation:
Department of Biochemistry, Central University of Punjab, Bathinda, India
Nadira Karunaweera
Affiliation:
Department of Parasitology, Faculty of Medicine, University of Colombo, Colombo, Sri Lanka
Nirmal K. Ganguly*
Affiliation:
Department of Research, Sir Gangaram Hospital, New Delhi, India
*
Corresponding authors: Angamuthu Selvapandiyan and Nirmal K. Ganguly; Emails: selvapandiyan@jamiahamdard.ac.in; ganguly1nk@gmail.com
Corresponding authors: Angamuthu Selvapandiyan and Nirmal K. Ganguly; Emails: selvapandiyan@jamiahamdard.ac.in; ganguly1nk@gmail.com
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Abstract

Leishmaniasis, classified as a neglected tropical disease, exerts its impact on millions globally. Its clinical spectrum encompasses diverse forms, from benign self-resolving skin lesions (cutaneous leishmaniasis) to life-threatening visceral infections (visceral leishmaniasis or kala-azar). This review aims to comprehensively explore the spectrum of the disease as an outcome of often-overlooked parasite variants. Additionally, it addresses the emerging challenges faced in the pursuit towards disease elimination. The evolving landscape of leishmaniasis demands the development of molecular surveillance tools to detect the heterogeneous parasite strains that contribute to the emergence of new endemic foci. Such surveillance poses formidable challenges to current elimination strategies. As the disease landscape continues to evolve, understanding the molecular intricacies of causative parasite strains becomes paramount. This knowledge not only aids the understanding of the basis of emerging/shifting endemic areas but also facilitates the search for and the design of targeted interventions. In this context, this review will navigate through the dynamic terrain of leishmaniasis, the various causative species of Leishmania parasites emphasising the urgency for the development of robust surveillance mechanisms and innovative approaches to confront the evolving challenges in our quest for global disease elimination.

Information

Type
Review
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - SA
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike licence (http://creativecommons.org/licenses/by-nc-sa/4.0), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the same Creative Commons licence is used to distribute the re-used or adapted article and the original article is properly cited. The written permission of Cambridge University Press must be obtained prior to any commercial use.
Copyright
© The Author(s), 2025. Published by Cambridge University Press
Figure 0

Figure 1. The sketch describes various forms of leishmaniases and the continents where each of the diseases is prevalent.

Figure 1

Table 1. Various forms of leishmaniases and their causative Leishmania species, along with the globally affected regions, symptoms and challenges in treatment/elimination strategies

Figure 2

Figure 2. Molecular tool to support pathogenic variations. A. Phylogenetic tree based on centrin5 proteins to infer group formations among Leishmania and other Trypanosome members. The parasite groups are described by distinct colours and labelled on their right. The parasite genera and species are described with sources indicated for some. The accession numbers of centrin5 proteins of the parasites, along with their associated serial numbers, are as follows: 1. LdBPK_366370.1.1, 2. XP_001469992.1, 3. XP_003874970.1, 4. XP_001687199.1, 5. GET93710.1, 6. KAG5465198.1, 7. KAG5465937.1, 8. XP_001569255.1, 9. KAG5464459.1, 10. KPI90528.1, 11. KAF8287755.1, 12. XP_011778227.1, 13. LTRL590_360073600.1, 14. LPAL13_350071100.1, 15. LAEL147_000875700.1, 16. LdCL_360071100-t42_1 and 17. AYU83995. The branch lengths and the bootstrap % values are also shown. The tree was constructed by the Maximum Likelihood method and JTT matrix-based model using the MEGA X program (Refs 146, 147). B,C. Multiple-sequence alignment and % identity of centrin5 proteins of only four of the red branches ‘A’ above using the Clustal W Omega program. The amino acid sequences of 17 centrin5 proteins, their combined Clustal W alignment and percent identity are described separately in the Supplementary Material.

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