The Impact of Age and Sex on Mouse Models of Melioidosis.

Autor: Klimko CP; United States Army Medical Research Institute of Infectious Diseases (USAMRIID), Bacteriology Division 1425 Porter Street, Fort Detrick, Frederick, MD 21702, USA., Treviño SR; United States Army Medical Research Institute of Infectious Diseases (USAMRIID), Bacteriology Division 1425 Porter Street, Fort Detrick, Frederick, MD 21702, USA., Moreau AM; United States Army Medical Research Institute of Infectious Diseases (USAMRIID), Pathology Division 1425 Porter Street, Fort Detrick, Frederick, MD 21702, USA., Cuadrado MJA; United States Army Medical Research Institute of Infectious Diseases (USAMRIID), Bacteriology Division 1425 Porter Street, Fort Detrick, Frederick, MD 21702, USA., Meyer JR; United States Army Medical Research Institute of Infectious Diseases (USAMRIID), Bacteriology Division 1425 Porter Street, Fort Detrick, Frederick, MD 21702, USA., Fetterer DP; United States Army Medical Research Institute of Infectious Diseases (USAMRIID), Biostatistics Division 1425 Porter Street, Fort Detrick, Frederick, MD, 21702, USA., Welkos SL; United States Army Medical Research Institute of Infectious Diseases (USAMRIID), Bacteriology Division 1425 Porter Street, Fort Detrick, Frederick, MD 21702, USA., Worsham PL; United States Army Medical Research Institute of Infectious Diseases (USAMRIID), Bacteriology Division 1425 Porter Street, Fort Detrick, Frederick, MD 21702, USA., Kreiselmeier N; United States Army Medical Research Institute of Infectious Diseases (USAMRIID), Pathology Division 1425 Porter Street, Fort Detrick, Frederick, MD 21702, USA., Soffler C; United States Army Medical Research Institute of Infectious Diseases (USAMRIID), Bacteriology Division 1425 Porter Street, Fort Detrick, Frederick, MD 21702, USA., Cote CK; United States Army Medical Research Institute of Infectious Diseases (USAMRIID), Bacteriology Division 1425 Porter Street, Fort Detrick, Frederick, MD 21702, USA.
Jazyk: angličtina
Zdroj: Pathogens (Basel, Switzerland) [Pathogens] 2020 Feb 11; Vol. 9 (2). Date of Electronic Publication: 2020 Feb 11.
DOI: 10.3390/pathogens9020113
Abstrakt: Mouse models have been used to generate critical data for many infectious diseases. In the case of Burkholderia pseudomallei , mouse models have been invaluable for bacterial pathogenesis studies as well as for testing novel medical countermeasures including both vaccines and therapeutics. Mouse models of melioidosis have also provided a possible way forward to better understand the chronicity associated with this infection, as it appears that BALB/c mice develop an acute infection with B. pseudomallei , whereas the C57BL/6 model is potentially more suggestive of a chronic infection. Several unanswered questions, however, persist around this model. In particular, little attention has been paid to the effect of age or sex on the disease outcome in these animal models. In this report, we determined the LD 50 of the B. pseudomallei K96243 strain in both female and male BALB/c and C57BL/6 mice in three distinct age groups. Our data demonstrated a modest increase in susceptibility associated with sex in this model, and we documented important histopathological differences associated with the reproductive systems of each sex. There was a statistically significant inverse correlation between age and susceptibility. The older mice, in most cases, were more susceptible to the infection. Additionally, our retrospective analyses suggested that the impact of animal supplier on disease outcome in mice may be minimal. These observations were consistent regardless of whether the mice were injected with bacteria intraperitoneally or if they were exposed to aerosolized bacteria. All of these factors should be considered when designing experiments using mouse models of melioidosis.
Competing Interests: The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.
Databáze: MEDLINE
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