TY - JOUR
T1 - Metaproteomics reveals age-specific alterations of gut microbiome in hamsters with SARS-CoV-2 infection
AU - Creskey, Marybeth
AU - Silva Angulo, Fabiola
AU - Wu, Qing
AU - Tamming, Levi
AU - Fekete, Emily E. F.
AU - Cheng, Kai
AU - Ning, Zhibin
AU - Wang, Angela
AU - Brito Rodrigues, Patrícia
AU - de Rezende Rodovalho, Vinícius
AU - Ramirez Vinolo, Marco Aurélio
AU - Figeys, Daniel
AU - Li, Xuguang
AU - Trottein, Francois
AU - Zhang, Xu
PY - 2025
Y1 - 2025
N2 - The gut microbiome’s pivotal role in health and disease is well established. SARS-CoV-2 infection often causes gastrointestinal symptoms and is associated with changes of the microbiome in both human and animal studies. While hamsters serve as important animal models for coronavirus research, there exists a notable void in the functional characterization of their microbiomes with metaproteomics. In this study, we present a workflow for analyzing the hamster gut microbiome, including a metagenomics-derived hamster gut microbial protein database and a data-independent acquisition metaproteomics method. Using this workflow, we identified 32,419 protein groups from the fecal microbiomes of young and old hamsters infected with SARS-CoV-2. We showed age-specific changes in the expressions of microbiome functions and host proteins associated with microbiomes, providing further functional insight into the interactions between the microbiome and host in SARS-CoV-2 infection. Altogether, this study established and demonstrated the capability of metaproteomics for the study of hamster microbiomes.
AB - The gut microbiome’s pivotal role in health and disease is well established. SARS-CoV-2 infection often causes gastrointestinal symptoms and is associated with changes of the microbiome in both human and animal studies. While hamsters serve as important animal models for coronavirus research, there exists a notable void in the functional characterization of their microbiomes with metaproteomics. In this study, we present a workflow for analyzing the hamster gut microbiome, including a metagenomics-derived hamster gut microbial protein database and a data-independent acquisition metaproteomics method. Using this workflow, we identified 32,419 protein groups from the fecal microbiomes of young and old hamsters infected with SARS-CoV-2. We showed age-specific changes in the expressions of microbiome functions and host proteins associated with microbiomes, providing further functional insight into the interactions between the microbiome and host in SARS-CoV-2 infection. Altogether, this study established and demonstrated the capability of metaproteomics for the study of hamster microbiomes.
KW - COVID-19
KW - data-independent acquisition
KW - gut microbiome
KW - Metaproteomics
UR - http://www.scopus.com/inward/record.url?scp=105006425180&partnerID=8YFLogxK
U2 - 10.1080/19490976.2025.2505117
DO - 10.1080/19490976.2025.2505117
M3 - Article
C2 - 40407096
AN - SCOPUS:105006425180
SN - 1949-0976
VL - 17
JO - Gut Microbes
JF - Gut Microbes
IS - 1
M1 - 2505117
ER -