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Comparative proteomic analysis provides insight into the key proteins as potential targets underlying the effect of malachite green against Ichthyophthirius multifiliis.
- Source :
-
Journal of fish diseases [J Fish Dis] 2021 Jul; Vol. 44 (7), pp. 881-892. Date of Electronic Publication: 2021 Feb 09. - Publication Year :
- 2021
-
Abstract
- Target identification is important for drug discovery. Unfortunately, no drug targets have been found in Ichthyophthirius multifiliis until now and further limited development of the novel drug for Ichthyophthiriasis. In this study, an iTRAQ-based quantitative proteomic analysis was used to find the target of malachite green (MG), exhibiting greater efficacy than the existing drugs, against I. multifiliis trophonts in situ. We also verified the proteomic results by RT-qPCR, TEM and cell apoptosis assay. Our results showed that major variations in protein abundance were found among many of the ribosome proteins, indicating ribosome might be a candidate target. Furthermore, GO and KEGG pathway analyses of differentially expressed proteins (DEPs) revealed that ribosome and PI3K-Akt signalling pathway were remarkably enriched. Taken together, the above DEPs were also verified by RT-qPCR and morphological observations. This study provides insights into the key proteins enriched in PI3K-Akt signal pathway and ribosome pathway as potential targets of MG killing I. multifiliis, which could be served as targets for other less toxic drugs and be tested as potential treatments for I. multifiliis.<br /> (© 2021 John Wiley & Sons Ltd.)
- Subjects :
- Animals
Anti-Infective Agents, Local pharmacology
Ciliophora Infections drug therapy
Ciliophora Infections parasitology
Fish Diseases parasitology
Proteomics
Rosaniline Dyes pharmacology
Anti-Infective Agents, Local therapeutic use
Carps
Ciliophora Infections veterinary
Fish Diseases drug therapy
Hymenostomatida drug effects
Rosaniline Dyes therapeutic use
Subjects
Details
- Language :
- English
- ISSN :
- 1365-2761
- Volume :
- 44
- Issue :
- 7
- Database :
- MEDLINE
- Journal :
- Journal of fish diseases
- Publication Type :
- Academic Journal
- Accession number :
- 33560558
- Full Text :
- https://doi.org/10.1111/jfd.13346