Recovery from mild Escherichia coli O157:H7 infection in young and aged C57BL/6 mice with intact flora estimated by fecal shedding, locomotor activity and grip strength.


Journal

Comparative immunology, microbiology and infectious diseases
ISSN: 1878-1667
Titre abrégé: Comp Immunol Microbiol Infect Dis
Pays: England
ID NLM: 7808924

Informations de publication

Date de publication:
Apr 2019
Historique:
received: 21 03 2018
revised: 30 11 2018
accepted: 07 12 2018
entrez: 10 4 2019
pubmed: 10 4 2019
medline: 18 7 2019
Statut: ppublish

Résumé

Escherichia coli 0157:H7 is a food-borne pathogen that can cause severe complications in vulnerable populations. Mouse infection models of E. coli 0157:H7 are usually developed under severe animal suffering classification by depleting the normal flora, in which age plays a role. To develop a refined method for longitudinal monitoring of E. coli 0157:H7 in young and old mice with intact flora. We applied discriminant analysis and computed composite standardized scores from 19 variables obtained from physiological parameters, analysis of locomotor activity, grip strength measurement and fecal shedding in 16 aged and 16 young C57BL/6 mice after two mild oral challenges of E. coli 0157:H7. The resulting scores were validated in another experiment performed in 24 aged and 24 young mice including a group (8 aged and 8 young mice) treated with oxytetracycline. We show that our scores are significantly affected in the post-infection period and that can be used to measure and compare the recovery time after a treatment. The scores are most sensitive when separately developed in young and aged mice. We developed a method that minimizes the level of animal suffering and that can be applied in preclinical testing of new therapies.

Identifiants

pubmed: 30961802
pii: S0147-9571(18)30121-8
doi: 10.1016/j.cimid.2018.12.003
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1-9

Informations de copyright

Copyright © 2018 Elsevier Ltd. All rights reserved.

Auteurs

Marco Malavolta (M)

Advanced Technology Center for Aging Research, Scientific Technological Area, IRCCS INRCA, Italy. Electronic address: m.malavolta@inrca.it.

Andrea Basso (A)

Advanced Technology Center for Aging Research, Scientific Technological Area, IRCCS INRCA, Italy.

Robertina Giacconi (R)

Advanced Technology Center for Aging Research, Scientific Technological Area, IRCCS INRCA, Italy.

Fiorenza Orlando (F)

Advanced Technology Center for Aging Research, Scientific Technological Area, IRCCS INRCA, Italy.

Elisa Pierpaoli (E)

Advanced Technology Center for Aging Research, Scientific Technological Area, IRCCS INRCA, Italy.

Maurizio Cardelli (M)

Advanced Technology Center for Aging Research, Scientific Technological Area, IRCCS INRCA, Italy.

Francesca Leoni (F)

Istituto Zooprofilattico Sperimentale dell'Umbria e delle Marche, Ancona, Italy.

Serena Chierichetti (S)

Istituto Zooprofilattico Sperimentale dell'Umbria e delle Marche, Ancona, Italy.

Dorothy Bray (D)

BHD Holding B.V., Amsterdam, the Netherlands.

Khadija Benlhassan (K)

KBLH Holding B.V., Amsterdam, the Netherlands.

Mauro Provinciali (M)

Advanced Technology Center for Aging Research, Scientific Technological Area, IRCCS INRCA, Italy.

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Classifications MeSH