Costa, Federico, Wunder, Elsio A Jr, De Oliveira, Daiana, Bisht, Vimla, Rodrigues, Gorete, Reis, Mitermayer G, Ko, Albert I, Begon, Mike ORCID: 0000-0003-1715-5327 and Childs, James E
(2015)
Patterns in Leptospira Shedding in Norway Rats (Rattus norvegicus) from Brazilian Slum Communities at High Risk of Disease Transmission.
PLOS NEGLECTED TROPICAL DISEASES, 9 (6).
e0003819-.
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Abstract
<h4>Background</h4>We address some critical but unknown parameters of individuals and populations of Norway rats (Rattus norvegicus) that influence leptospiral infection, maintenance and spirochetal loads shed in urine, which contaminates the environment ultimately leading to human infection.<h4>Methodology/principal findings</h4>Our study, conducted in Salvador, Brazil, established the average load of leptospires in positive kidneys to be 5.9 x 10(6) per mL (range 3.1-8.2 x10(6)) genome equivalents (GEq), similar to the 6.1 x 10(6) per ml (range 2.2-9.4 x10(6)) average obtained from paired urines, with a significant positive correlation (R2=0.78) between the two. Based on bivariate and multivariate modeling, we found with both kidney and urine samples that leptospiral loads increased with the age of rats (based on the index of body length to mass), MAT titer and the presence of wounding/scars, and varied with site of capture. Some associations were modified by sex but trends were apparent. Combining with data on the demographic properties and prevalence of leptospiral carriage in rat populations in Salvador, we estimated that daily leptospiral loads shed in the urine of a population of 82 individuals exceeded 9.1 x 10(10) leptospires.<h4>Conclusions/significance</h4>These factors directly influence the risk of leptospiral acquisition among humans and provide essential epidemiological information linking properties of rat populations with risk of human infection.
Item Type: | Article |
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Uncontrolled Keywords: | Kidney, Urine, Animals, Rats, Leptospirosis, Rodent Diseases, Agglutination Tests, Prevalence, Analysis of Variance, Models, Statistical, Age Factors, Poverty Areas, Brazil, Bacterial Shedding, Real-Time Polymerase Chain Reaction |
Depositing User: | Symplectic Admin |
Date Deposited: | 15 Jul 2015 09:36 |
Last Modified: | 16 Dec 2022 15:41 |
DOI: | 10.1371/journal.pntd.0003819 |
Related URLs: | |
URI: | https://livrepository.liverpool.ac.uk/id/eprint/2016563 |