Metabolic Profile Associated With Encystation in <i>Acanthamoeba</i>

The genus Acanthamoeba includes widespread protozoa that can cause severe infections in humans. Their ability to form resistant cysts within infected tissues complicates treatment, making it essential to understand the encystation process for developing effective therapeutic strategies. This study utilized untargeted metabolomics (GC-MS) to analyze metabolic changes during the encystation of an Acanthamoeba strain in Neff's encystation saline. We conducted metabolite analysis at three stages of differentiation: the trophozoite-dominant phase (0 h), the pre-cyst-dominant phase (24 h), and the cyst-dominant phase (72 h). The results indicated a global metabolic downregulation during encystation, which is consistent with a state of dormancy. Components of the cyst wall such as cellobiose and lactose accumulated in the final phase. Arbutin and canavanine were annotated for the first time in Acanthamoeba. Encystation also led to changes in pathways related to glycine, serine, and threonine metabolism and biosynthesis of aminoacyl-tRNA. This study uncovered previously unknown metabolites and metabolic pathways at distinct stages of Acanthamoeba development.

Authors

Institutions

Publication Details

Journal
Journal of Eukaryotic Microbiology
Published
2025-07-30
DOI
https://doi.org/10.1111/jeu.70034
Citations
2
Primary Topic
Legionella and Acanthamoeba research
Type
article
Field-Weighted Citation Impact
3.60

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Metabolic Profile Associated With Encystation in Acanthamoeba

Jéssica Gardone Vitório, Cecília Cirelli, Leiliane Coelho André, Filipe Fideles Duarte‐Andrade et al.
2 citations
Journal of Eukaryotic Microbiology
Legionella and Acanthamoeba research
3.60
article

Metabolic Profile Associated With Encystation in Acanthamoeba

Jéssica Gardone Vitório, Cecília Cirelli, Leiliane Coelho André, Filipe Fideles Duarte‐Andrade, Juliano Simões de Toledo, Adriana Oliveira Costa, Isabela Aurora Rodrigues, Gisele André Baptista Canuto, Ana Paula Fernandes
article en
2 citations

Abstract

The genus Acanthamoeba includes widespread protozoa that can cause severe infections in humans. Their ability to form resistant cysts within infected tissues complicates treatment, making it essential to understand the encystation process for developing effective therapeutic strategies. This study utilized untargeted metabolomics (GC-MS) to analyze metabolic changes during the encystation of an Acanthamoeba strain in Neff's encystation saline. We conducted metabolite analysis at three stages of differentiation: the trophozoite-dominant phase (0 h), the pre-cyst-dominant phase (24 h), and the cyst-dominant phase (72 h). The results indicated a global metabolic downregulation during encystation, which is consistent with a state of dormancy. Components of the cyst wall such as cellobiose and lactose accumulated in the final phase. Arbutin and canavanine were annotated for the first time in Acanthamoeba. Encystation also led to changes in pathways related to glycine, serine, and threonine metabolism and biosynthesis of aminoacyl-tRNA. This study uncovered previously unknown metabolites and metabolic pathways at distinct stages of Acanthamoeba development.

Journal of Eukaryotic MicrobiologyVol. 72(5)
Universidade Federal de Minas Gerais (BR), Universidade Federal da Bahia (BR)
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Conselho Nacional de Desenvolvimento Científico e Tecnológico, Fundação de Amparo à Pesquisa do Estado de Minas Gerais
Good health and well-being
Openalex Percentile: Top 8%
Legionella and Acanthamoeba research
3.60
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.