Age-Dependent Variations in the Distribution of <i>Aeromonas</i> Species in Human Enteric Infections
<i>Aeromonas</i> species are enteropathogens that cause gastroenteritis with a unique three-peak infection pattern related to patient age. The contributions of individual <i>Aeromonas</i> species to age-related infections remain unknown. Multi-locus sequence typing (MLST) was...
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2025-01-01
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| author | Adhiraj Singh Fang Liu Christopher Yuwono Michael C. Wehrhahn Eve Slavich Alexandra M. Young Sarah K. T. Chong Alfred Chin Yen Tay Stephen M. Riordan Li Zhang |
| author_facet | Adhiraj Singh Fang Liu Christopher Yuwono Michael C. Wehrhahn Eve Slavich Alexandra M. Young Sarah K. T. Chong Alfred Chin Yen Tay Stephen M. Riordan Li Zhang |
| author_sort | Adhiraj Singh |
| collection | DOAJ |
| description | <i>Aeromonas</i> species are enteropathogens that cause gastroenteritis with a unique three-peak infection pattern related to patient age. The contributions of individual <i>Aeromonas</i> species to age-related infections remain unknown. Multi-locus sequence typing (MLST) was performed to determine the species of <i>Aeromonas</i> strains from Australian patients with gastroenteritis. Public database searches were conducted to collect strains of enteric <i>Aeromonas</i> species, identified by either MLST or whole genome sequencing with known patient age. Violin plot analysis was performed to assess <i>Aeromonas</i> infection distribution across patients of different ages. Generalized additive model (GAM) analysis was employed to investigate the relationship between <i>Aeromonas</i> species and patient age. A total of 266 strains of seven <i>Aeromonas</i> species met the selection criteria, which were used for analyses. The violin plots revealed distinct patterns among individual <i>Aeromonas</i> species in relation to patient age. The GAM analyses identified a significant association between <i>Aeromonas</i> species and patient age (<i>p</i> = 0.009). <i>Aeromonas veronii</i> (153 strains) showed the highest probability of infection in most ages, particularly among young adults. <i>Aeromonas caviae</i> (59 strains) is more common in young children and adults over 60 years of age. The probability of infection for <i>Aeromonas hydrophila</i> (34 strains) and <i>Aeromonas dhakensis</i> (9 strains) was generally low, there was a slight increase in individuals aged 50–60 for <i>A. hydrophila</i> and over 60 years for <i>A. dhakensis</i>. These findings provide novel evidence of the varied contributions of different <i>Aeromonas</i> species to human enteric infections related to patient age, offering valuable insights for epidemiology and clinical management. |
| format | Article |
| id | doaj-art-53937d463dc84de09a16000cd36d43ca |
| institution | OA Journals |
| issn | 2076-0817 |
| language | English |
| publishDate | 2025-01-01 |
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| series | Pathogens |
| spelling | doaj-art-53937d463dc84de09a16000cd36d43ca2025-08-20T02:03:26ZengMDPI AGPathogens2076-08172025-01-0114212010.3390/pathogens14020120Age-Dependent Variations in the Distribution of <i>Aeromonas</i> Species in Human Enteric InfectionsAdhiraj Singh0Fang Liu1Christopher Yuwono2Michael C. Wehrhahn3Eve Slavich4Alexandra M. Young5Sarah K. T. Chong6Alfred Chin Yen Tay7Stephen M. Riordan8Li Zhang9School of Clinical Medicine, University of New South Wales, Sydney, NSW 2052, AustraliaSchool of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW 2052, AustraliaSchool of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW 2052, AustraliaDouglass Hanly Moir Pathology, a Sonic Healthcare Practice, 14 Giffnock Ave, Macquarie Park, NSW 2113, AustraliaStats Central, Mark Wainwright Analytical Centre, University of New South Wales, Sydney, NSW 2052, AustraliaSchool of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW 2052, AustraliaSchool of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW 2052, AustraliaHelicobacter Research Laboratory, Marshall Centre for Infectious Diseases Research and Training, School of Biomedical Sciences, University of Western Australia, Perth, WA 6009, AustraliaGastrointestinal and Liver Unit, Prince of Wales Hospital, University of New South Wales, Sydney, NSW 2033, AustraliaSchool of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW 2052, Australia<i>Aeromonas</i> species are enteropathogens that cause gastroenteritis with a unique three-peak infection pattern related to patient age. The contributions of individual <i>Aeromonas</i> species to age-related infections remain unknown. Multi-locus sequence typing (MLST) was performed to determine the species of <i>Aeromonas</i> strains from Australian patients with gastroenteritis. Public database searches were conducted to collect strains of enteric <i>Aeromonas</i> species, identified by either MLST or whole genome sequencing with known patient age. Violin plot analysis was performed to assess <i>Aeromonas</i> infection distribution across patients of different ages. Generalized additive model (GAM) analysis was employed to investigate the relationship between <i>Aeromonas</i> species and patient age. A total of 266 strains of seven <i>Aeromonas</i> species met the selection criteria, which were used for analyses. The violin plots revealed distinct patterns among individual <i>Aeromonas</i> species in relation to patient age. The GAM analyses identified a significant association between <i>Aeromonas</i> species and patient age (<i>p</i> = 0.009). <i>Aeromonas veronii</i> (153 strains) showed the highest probability of infection in most ages, particularly among young adults. <i>Aeromonas caviae</i> (59 strains) is more common in young children and adults over 60 years of age. The probability of infection for <i>Aeromonas hydrophila</i> (34 strains) and <i>Aeromonas dhakensis</i> (9 strains) was generally low, there was a slight increase in individuals aged 50–60 for <i>A. hydrophila</i> and over 60 years for <i>A. dhakensis</i>. These findings provide novel evidence of the varied contributions of different <i>Aeromonas</i> species to human enteric infections related to patient age, offering valuable insights for epidemiology and clinical management.https://www.mdpi.com/2076-0817/14/2/120<i>Aeromonas</i>gastroenteritis<i>Aeromonas veronii</i><i>Aeromonas caviae</i><i>Aeromonas hydrophila</i><i>Aeromonas dhakensis</i> |
| spellingShingle | Adhiraj Singh Fang Liu Christopher Yuwono Michael C. Wehrhahn Eve Slavich Alexandra M. Young Sarah K. T. Chong Alfred Chin Yen Tay Stephen M. Riordan Li Zhang Age-Dependent Variations in the Distribution of <i>Aeromonas</i> Species in Human Enteric Infections Pathogens <i>Aeromonas</i> gastroenteritis <i>Aeromonas veronii</i> <i>Aeromonas caviae</i> <i>Aeromonas hydrophila</i> <i>Aeromonas dhakensis</i> |
| title | Age-Dependent Variations in the Distribution of <i>Aeromonas</i> Species in Human Enteric Infections |
| title_full | Age-Dependent Variations in the Distribution of <i>Aeromonas</i> Species in Human Enteric Infections |
| title_fullStr | Age-Dependent Variations in the Distribution of <i>Aeromonas</i> Species in Human Enteric Infections |
| title_full_unstemmed | Age-Dependent Variations in the Distribution of <i>Aeromonas</i> Species in Human Enteric Infections |
| title_short | Age-Dependent Variations in the Distribution of <i>Aeromonas</i> Species in Human Enteric Infections |
| title_sort | age dependent variations in the distribution of i aeromonas i species in human enteric infections |
| topic | <i>Aeromonas</i> gastroenteritis <i>Aeromonas veronii</i> <i>Aeromonas caviae</i> <i>Aeromonas hydrophila</i> <i>Aeromonas dhakensis</i> |
| url | https://www.mdpi.com/2076-0817/14/2/120 |
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