Factors associated with differential seropositivity to Leptospira interrogans and Leptospira kirschneri in a high transmission urban setting for leptospirosis in Brazil.


Journal

PLoS neglected tropical diseases
ISSN: 1935-2735
Titre abrégé: PLoS Negl Trop Dis
Pays: United States
ID NLM: 101291488

Informations de publication

Date de publication:
17 May 2024
Historique:
received: 10 04 2023
accepted: 02 05 2024
medline: 17 5 2024
pubmed: 17 5 2024
entrez: 17 5 2024
Statut: aheadofprint

Résumé

Leptospirosis is a zoonosis caused by pathogenic species of bacteria belonging to the genus Leptospira. Most studies infer the epidemiological patterns of a single serogroup or aggregate all serogroups to estimate overall seropositivity, thus not exploring the risks of exposure to distinct serogroups. The present study aims to delineate the demographic, socioeconomic and environmental factors associated with seropositivity of Leptospira serogroup Icterohaemorraghiae and serogroup Cynopteri in an urban high transmission setting for leptospirosis in Brazil. We performed a cross-sectional serological study in five informal urban communities in the city of Salvador, Brazil. During the years 2018, 2020 2021, we recruited 2.808 residents and collected blood samples for serological analysis using microagglutination assays. We used a fixed-effect multinomial logistic regression model to identify risk factors associated with seropositivity for each serogroup. Seropositivity to Cynopteri increased with each year of age (OR 1.03; 95% CI 1.01-1.06) and was higher in those living in houses with unplastered walls (exposed brick) (OR 1.68; 95% CI 1.09-2.59) and where cats were present near the household (OR 2.00; 95% CI 1.03-3.88). Seropositivity to Icterohaemorrhagiae also increased with each year of age (OR 1.02; 95% CI 1.01-1.03) and was higher in males (OR 1.51; 95% CI 1.09-2.10), in those with work-related exposures (OR 1.71; 95% CI 1.10-2.66) or who had contact with sewage (OR 1.42; 95% CI 1.00-2.03). Spatial analysis showed differences in distribution of seropositivity to serogroups Icterohaemorrhagiae and Cynopteri within the five districts where study communities were situated. Our data suggest distinct epidemiological patterns associated with the Icterohaemorrhagiae and Cynopteri serogroups in the urban environment at high risk for leptospirosis and with differences in spatial niches. We emphasize the need for studies that accurately identify the different pathogenic serogroups that circulate and infect residents of low-income areas.

Sections du résumé

BACKGROUND BACKGROUND
Leptospirosis is a zoonosis caused by pathogenic species of bacteria belonging to the genus Leptospira. Most studies infer the epidemiological patterns of a single serogroup or aggregate all serogroups to estimate overall seropositivity, thus not exploring the risks of exposure to distinct serogroups. The present study aims to delineate the demographic, socioeconomic and environmental factors associated with seropositivity of Leptospira serogroup Icterohaemorraghiae and serogroup Cynopteri in an urban high transmission setting for leptospirosis in Brazil.
METHODS/PRINCIPAL FINDINGS RESULTS
We performed a cross-sectional serological study in five informal urban communities in the city of Salvador, Brazil. During the years 2018, 2020 2021, we recruited 2.808 residents and collected blood samples for serological analysis using microagglutination assays. We used a fixed-effect multinomial logistic regression model to identify risk factors associated with seropositivity for each serogroup. Seropositivity to Cynopteri increased with each year of age (OR 1.03; 95% CI 1.01-1.06) and was higher in those living in houses with unplastered walls (exposed brick) (OR 1.68; 95% CI 1.09-2.59) and where cats were present near the household (OR 2.00; 95% CI 1.03-3.88). Seropositivity to Icterohaemorrhagiae also increased with each year of age (OR 1.02; 95% CI 1.01-1.03) and was higher in males (OR 1.51; 95% CI 1.09-2.10), in those with work-related exposures (OR 1.71; 95% CI 1.10-2.66) or who had contact with sewage (OR 1.42; 95% CI 1.00-2.03). Spatial analysis showed differences in distribution of seropositivity to serogroups Icterohaemorrhagiae and Cynopteri within the five districts where study communities were situated.
CONCLUSIONS/SIGNIFICANCE CONCLUSIONS
Our data suggest distinct epidemiological patterns associated with the Icterohaemorrhagiae and Cynopteri serogroups in the urban environment at high risk for leptospirosis and with differences in spatial niches. We emphasize the need for studies that accurately identify the different pathogenic serogroups that circulate and infect residents of low-income areas.

Identifiants

pubmed: 38758957
doi: 10.1371/journal.pntd.0011292
pii: PNTD-D-23-00442
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0011292

Informations de copyright

Copyright: © 2024 de Oliveira et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

Auteurs

Daiana de Oliveira (D)

Instituto da Saúde Coletiva, Universidade Federal da Bahia, Salvador, Bahia, Brasil.
Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Ministério da Saúde, Salvador, Bahia, Brasil.

Hussein Khalil (H)

Department of Wildlife, Fish, and Environmental Studies, Swedish University of Agricultural Sciences, Umeå, Sweden.

Fabiana Almerinda G Palma (F)

Instituto da Saúde Coletiva, Universidade Federal da Bahia, Salvador, Bahia, Brasil.

Roberta Santana (R)

Instituto da Saúde Coletiva, Universidade Federal da Bahia, Salvador, Bahia, Brasil.

Nivison Nery (N)

Instituto da Saúde Coletiva, Universidade Federal da Bahia, Salvador, Bahia, Brasil.
Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Ministério da Saúde, Salvador, Bahia, Brasil.

Juan C Quintero-Vélez (J)

Grupo de Ciencias Veterinarias-Centauro, Facultad de Ciencias Agrarias, Universidad de Antioquia, Medellín, Colombia.
Grupo de Investigación Microbiología Básica y Aplicada, Universidad de Antioquia, Medellín, Colombia.
Grupo de Epidemiología, Universidad de Antioquia, Medellín, Colombia.

Caio Graco Zeppelini (CG)

Programa de Pós-Graduação em Ecologia: Teoria, Aplicações e Valores, Universidade Federal da Bahia, Salvador, Brazil.

Gielson Almeida do Sacramento (G)

Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Ministério da Saúde, Salvador, Bahia, Brasil.

Jaqueline S Cruz (JS)

Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Ministério da Saúde, Salvador, Bahia, Brasil.

Ricardo Lustosa (R)

Instituto da Saúde Coletiva, Universidade Federal da Bahia, Salvador, Bahia, Brasil.

Igor Santana Ferreira (I)

Instituto da Saúde Coletiva, Universidade Federal da Bahia, Salvador, Bahia, Brasil.

Ticiana Carvalho-Pereira (T)

Instituto da Saúde Coletiva, Universidade Federal da Bahia, Salvador, Bahia, Brasil.

Peter J Diggle (PJ)

Centre for Health Informatics, Computing, and Statistics, Lancaster University, Lancaster, United Kingdom.

Elsio A Wunder (EA)

Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Ministério da Saúde, Salvador, Bahia, Brasil.
Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, United States of America.
Department of Pathobiology and Veterinary Science, University of Connecticut, Storrs, Connecticut, United States of America.

Albert I Ko (A)

Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Ministério da Saúde, Salvador, Bahia, Brasil.
Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, United States of America.

Yeimi Alzate Lopez (Y)

Instituto da Saúde Coletiva, Universidade Federal da Bahia, Salvador, Bahia, Brasil.

Mike Begon (M)

Institute of Integrative Biology, University of Liverpool, Liverpool, United Kingdom.

Mitermayer G Reis (M)

Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Ministério da Saúde, Salvador, Bahia, Brasil.
Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, United States of America.
Faculdade de Medicina, Universidade Federal da Bahia, Salvador, Bahia, Brasil.

Federico Costa (F)

Instituto da Saúde Coletiva, Universidade Federal da Bahia, Salvador, Bahia, Brasil.
Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Ministério da Saúde, Salvador, Bahia, Brasil.
Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, United States of America.

Classifications MeSH