| Literature DB >> 31730650 |
Luciana de Freitas Campos Miranda1, Raquel da Silva Pacheco1, Maria Inês Fernandes Pimentel1, Mariza de Matos Salgueiro1, Aline Fagundes da Silva1, Cíntia Xavier de Mello2, Juliana Helena da Silva Barros3, Claudia Maria Valete-Rosalino1, Maria de Fátima Madeira1, Samanta Cristina das Chagas Xavier3, Armando de Oliveira Schubach1.
Abstract
BACKGROUND: We identified the species of Leishmania isolated from traveling and migrant patients attended in a reference center from 2000 to 2015, we performed the georeferencing of these species in Rio de Janeiro (RJ) state and we had knowledge about the human flows between the likely location of infection (LLI) and place of residence (PR) in RJ state, Brazil. METHODOLOGY/PRINCIPALEntities:
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Substances:
Year: 2019 PMID: 31730650 PMCID: PMC6857848 DOI: 10.1371/journal.pntd.0007748
Source DB: PubMed Journal: PLoS Negl Trop Dis ISSN: 1935-2727
Sociodemographic and clinical characteristics of 162 patients* diagnosed with American tegumentary leishmaniasis at NIID-FIOCRUZ from 2000 to 2015.
| Migrants | Business Travelers | Leisure Travelers | TOTAL | |
|---|---|---|---|---|
| n = 81 (50%) | n = 48 (29.6%) | n = 33 (20.4%) | n = 162 | |
| Female | 22 (27.16%) | 5 (10.42%) | 14 (42.42%) | |
| Male | 59 (72.84%) | 43 (89.58%) | 19 (57.58%) | |
| 81 (100.00%) | 48 (100.00%) | 33 (100.00%) | ||
| Median (minimum–maximum) | 44 (min 4—max 83) | 30 (min 20 –max 56) | 29 (min 12 –max 75) | |
| North | 5 (6.17%) | 33 (68.75%) | 4 (12.12%) | |
| Northeast | 40 (49.38%) | 2 (4.17%) | 7 (21.21%) | |
| South | - | - | 1 (3.03%) | |
| Southeast | 31 (38.27%) | 4 (8.33%) | 17 (51.52%) | |
| Midwest | 1 (1.23%) | 3 (6.25%) | 2 (6.06%) | |
| Indeterminate | 1 (1.23%) | 4 (8.33%) | 1 (3.03%) | |
| Bolivia | 1 (1.23%) | 1 (2.08%) | - | |
| Ecuador | - | 1 (2.08%) | - | |
| French Guiana | 2 (2.47%) | - | - | |
| Israel | - | - | 1 (3.03%) | |
| 81 (100.00%) | 48 (100.00%) | 33 (100.00%) | ||
| Cutaneous | 43 (53.09%) | 45 (93.75%) | 26 (78.79%) | |
| Mucosal and Mucocutaneous | 38 (46.91%) | 3 (6.25%) | 7 (21.21%) | |
| 81 (100.00%) | 48 (100.00%) | 33 (100.00%) | ||
* The 162 patients were residents in Rio de Janeiro state and with a determined likely location of infection. Nine patients with more than one reason for exposure, classified as undetermined, were removed from this analysis.
** For statistical calculation, cases of mucocutaneous leishmaniasis were included in the mucosal leishmaniasis group. p < 0.05 values are considered significant.
ª p = 0.024: Migrant x Business Travelers
ª p = 0.001: Business Travelers x Leisure Travelers
p<0.001: Migrant x Business Travelers
p = 0.028: Migrant x Leisure Travelers
p<0.001: Migrant x Business Travelers
p<0.001: Business Travelers x Leisure Travelers
p<0.001: Migrant x Business Travelers
p = 0.028: Business Travelers x Leisure Travelers
d3 p = 0.005: Migrant x Leisure Travelers
p<0.001: Migrant x Business Travelers
p<0.001: Business Travelers x Leisure Travelers
p<0.001: Migrant x Business Travelers
p<0.011: Migrant x Leisure Travelers
Identification of 104 Leishmania species regarding the reason for exposure.
| Species Typing | Migrants | Business Travelers | Leisure Travelers | Undetermined reason for exposure | TOTAL |
|---|---|---|---|---|---|
| 40 | 22 | 13 | 9 | ||
| - | 4 | - | - | ||
| - | 8 | - | - | ||
| 3 | 3 | 1 | - | ||
| 1 | - | - | - | ||
Identification techniques used for typing of 104 Leishmania species isolated from travelers and migrants who were patients attended at NIID-FIOCRUZ from 2000 to 2015.
| A | B | A and B | A and B and Sequencing | TOTAL | ||
|---|---|---|---|---|---|---|
| 68 | 16 | - | - | |||
| 1 | - | 2 | 1 | |||
| 1 | 3 | 4 | - | |||
| 6 | 1 | - | - | |||
| 1 | - | - | - | |||
NIID = Evandro Chagas National Institute of Infectious Diseases; MLEE = Multilocus enzyme electrophoresis
Fig 1Phylogenetic analysis demonstrating Leishmania (Viannia) species with sequences of ITS1-rDNA.
The variant Leishmania braziliensis P4 sequence (GenBank accession number MN508061) is present, with 0.8% of genetic distance when compared to other sequences of Leishmania braziliensis. The evolutionary history was inferred using maximum likelihood based on the Jukes–Cantor model; sequences were aligned using MEGA version 6 software. Outgroup: Leishmania lainsoni. Bootstrap test (1000 replications) are shown next to the branches, and GenBank accession numbers are in front of the species names.
Genetic distance percentage between P4 isolate and other Leishmania species in ITS1-rDNA sequences obtained from GenBank.
| Genetic Distances (%) for P4 isolate | |
|---|---|
| 0.8% | |
| 1.2% | |
| 1.6% | |
| 2.1% | |
| 3.3% | |
| 3.8% |
*GeneBank code MN508061
Species of Leishmania identified according to likely location of infection in Brazilian regions or other countries.
| Brazil | Other Countries | TOTAL | ||||||
|---|---|---|---|---|---|---|---|---|
| North Region | Northeast Region | Southeast Region | Midwest Region | South Region | Indeterminate Region | |||
| 11 | 23 | 39 | 2 | 1 | 6 | 2 | ||
| 4 | - | - | - | - | - | - | ||
| 7 | - | - | - | - | 1 | - | ||
| 4 | 2 | - | - | - | - | 1 | ||
| - | 1 | - | - | - | - | - | ||
Fig 2Species of Leishmania in Rio de Janeiro (RJ) state.
The 104 typed species of Leishmania were plotted on the map by municipalities of RJ state (A); The municipality of Rio de Janeiro and some neighboring municipalities are highlighted to facilitate the visualization of the identified Leishmania species (B); Location of RJ state on maps of Brazil and South America (C). SP = São Paulo state; MG = Minas Gerais state; ES = Espírito Santo state. This map was created using ArcGIS 9.1 software and cartographic bases obtained from the Brazilian Institute of Geography and Statistics (https://ibge.gov.br/).
Fig 3Species of Leishmania in Rio de Janeiro (RJ) municipality.
The 66 species of Leishmania identified were plotted on the map by neighborhoods of RJ municipality, according to the residence address of the patients in RJ municipality. This map was created using ArcGIS 9.1 software and cartographic bases obtained from the Brazilian Institute of Geography and Statistics (https://ibge.gov.br/).
Fig 4Pie charts of Leishmania species, representing the aggregated distribution of Leishmania species by municipalities of Rio de Janeiro state.
The size of pie chart is proportional to the amount of samples of Leishmania in each municipality. Uncharacterized species were represented by an orange color (Leishmania spp.). This map was created using ArcGIS 9.1 software and cartographic bases obtained from the Brazilian Institute of Geography and Statistics (https://ibge.gov.br/).
Fig 5Flow map with density of cases in Rio de Janeiro state.
Municipalities of residence are represented by circles and likely location of infection by triangles. Unidentified species (Leishmania spp.) are represented by an orange triangle and species identified as L. (V.) braziliensis by a red triangle. Yellow lines represent the migratory flow of one case (density 1) and brown lines represent the migratory flow of two cases (density 2). This map was created using ArcGIS 9.1 software and cartographic bases obtained from the Brazilian Institute of Geography and Statistics (https://ibge.gov.br/).
Fig 6Map of flows to Rio de Janeiro state, with density of cases from other countries and Brazilian states.
The density of cases was divided into five categories, differentiated by color and thickness. The lines are varied in width to represent the number of cases, with a broader line indicating greater flow. The width of the line is proportional to the flow. Pie charts represent the aggregated distribution of Leishmania species by country and state. This map was created using ArcGIS 9.1 software and cartographic bases obtained from the Brazilian Institute of Geography and Statistics (https://ibge.gov.br/).