Evidence map›Paper›PMID 35073983›Full record

ArticleParasites & vectors2022

Over-dispersed Trypanosoma cruzi parasite load in sylvatic and domestic mammals and humans from northeastern Argentina.

Gustavo Fabián Enriquez, Jacqueline Bua, María Marcela Orozco, Natalia Paula Macchiaverna, Julián Antonio Alvarado Otegui, Hernán Darío Argibay, María Del Pilar Fernández, Ricardo Esteban Gürtler, Marta Victoria Cardinal

Open access · goldAbstract read
In one paragraph

Article in Parasites & vectors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.1field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 18 citations in OpenAlex.

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  7. Geographic Distribution of the GenusTropical medicine and infectious disease · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 6 institutions in 3 countries.

Gustavo Fabián EnriquezLaboratorio de Eco-Epidemiología, Departamento de Ecología, Genética y Evolución, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Intendente Güiraldes 2160, Piso 2, Ciudad Universitaria, Buenos Aires, Argentina. gfenriquez@ege.fcen.uba.ar.
Jacqueline BuaInstituto Nacional de Parasitología Dr. M. Fatala Chabén, Administración Nacional de Laboratorios e Institutos de Salud Dr. C.G. Malbrán, Buenos Aires, Argentina.
María Marcela OrozcoInstituto de Ecología, Genética y Evolución (IEGEBA), CONICET-Universidad de Buenos Aires, Buenos Aires, Argentina.
Natalia Paula MacchiavernaLaboratorio de Eco-Epidemiología, Departamento de Ecología, Genética y Evolución, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Intendente Güiraldes 2160, Piso 2, Ciudad Universitaria, Buenos Aires, Argentina.
Julián Antonio Alvarado OteguiLaboratorio de Eco-Epidemiología, Departamento de Ecología, Genética y Evolución, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Intendente Güiraldes 2160, Piso 2, Ciudad Universitaria, Buenos Aires, Argentina.
Hernán Darío ArgibayLaboratorio de Patologia e Biologia Molecular, Instituto Gonçalo Moniz/Fiocruz Bahia, Salvador, Brazil.
María Del Pilar FernándezPaul G. Allen School for Global Health, Washington State University, Pullman, WA, USA.
Ricardo Esteban GürtlerLaboratorio de Eco-Epidemiología, Departamento de Ecología, Genética y Evolución, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Intendente Güiraldes 2160, Piso 2, Ciudad Universitaria, Buenos Aires, Argentina.
Marta Victoria CardinalLaboratorio de Eco-Epidemiología, Departamento de Ecología, Genética y Evolución, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Intendente Güiraldes 2160, Piso 2, Ciudad Universitaria, Buenos Aires, Argentina.
Consejo Nacional de Investigaciones Científicas y Técnicas · ARAdministración Nacional de Laboratorios e Institutos de Salud · ARFundação Oswaldo Cruz · BRFundación Ciencias Exactas y Naturales · ARUniversity of Buenos Aires · ARWashington State University · US

Funding

Fondo para la Investigación Científica y Tecnológica PICT 2014-2661Fondo para la Investigación Científica y Tecnológica PICT 2015-2921Fondo para la Investigación Científica y Tecnológica PICT 2018-03706Secretaria de Ciencia y Tecnica, Universidad de Buenos Aires 20020130100843BA
6 · The paper itself

Abstract

backgroundThe distribution of parasite load across hosts may modify the transmission dynamics of infectious diseases. Chagas disease is caused by a multi-host protozoan, Trypanosoma cruzi, but the association between host parasitemia and infectiousness to the vector has not been studied in sylvatic mammalian hosts. We quantified T. cruzi parasite load in sylvatic mammals, modeled the association of the parasite load with infectiousness to the vector and compared these results with previous ones for local domestic hosts.

methodsThe bloodstream parasite load in each of 28 naturally infected sylvatic mammals from six species captured in northern Argentina was assessed by quantitative PCR, and its association with infectiousness to the triatomine Triatoma infestans was evaluated, as determined by natural or artificial xenodiagnosis. These results were compared with our previous results for 88 humans, 70 dogs and 13 cats, and the degree of parasite over-dispersion was quantified and non-linear models fitted to data on host infectiousness and bloodstream parasite load.

resultsThe parasite loads of Didelphis albiventris (white-eared opossum) and Dasypus novemcinctus (nine-banded armadillo) were directly and significantly associated with infectiousness of the host and were up to 190-fold higher than those in domestic hosts. Parasite load was aggregated across host species, as measured by the negative binomial parameter, k, and found to be substantially higher in white-eared opossums, cats, dogs and nine-banded armadillos (range: k = 0.3-0.5) than in humans (k = 5.1). The distribution of bloodstream parasite load closely followed the "80-20 rule" in every host species examined. However, the 20% of human hosts, domestic mammals or sylvatic mammals exhibiting the highest parasite load accounted for 49, 25 and 33% of the infected triatomines, respectively.

conclusionsOur results support the use of bloodstream parasite load as a proxy of reservoir host competence and individual transmissibility. The over-dispersed distribution of T. cruzi bloodstream load implies the existence of a fraction of highly infectious hosts that could be targeted to improve vector-borne transmission control efforts toward interruption transmission. Combined strategies that decrease the parasitemia and/or host-vector contact with these hosts would disproportionally contribute to T. cruzi transmission control.

Indexed as

Trypanosoma cruziAnimalsAnimals, WildArgentinaArmadillosCatsChagas DiseaseDidelphisDisease ReservoirsDisease VectorsDogsForestsGenes, ProtozoanHumansInsect VectorsMammalsChagas diseaseHeterogeneityInfectiousnessParasite loadVector-borne disease

Identifiers

PMID35073983
PMCPMC8785451
OpenAlexW4206983016

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.