Evidence map›Paper›PMID 28784152›Full record

ArticleParasites & vectors2017

Within-host temporal fluctuations of Trypanosoma cruzi discrete typing units: the case of the wild reservoir rodent Octodon degus.

Gemma Rojo, Alejandra Sandoval-Rodríguez, Angélica López, Sylvia Ortiz, Juana P Correa, Miguel Saavedra, Carezza Botto-Mahan, Pedro E Cattan, Aldo Solari

Open access · goldAbstract read
In one paragraph

Article in Parasites & vectors, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 15% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Relevance of Trypanothione Reductase Inhibitors onOxidative medicine and cellular longevity · 2018
    Pooled it
  2. Coinfection by multipleMicrobiology and molecular biology reviews : MMBR · 2025
    Review
  3. Article
  4. The Parasite Load ofMicroorganisms · 2022
    Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Frequency ofVeterinary medicine international · 2018
    Article
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 1 institution in 1 country.

Gemma RojoPrograma de Biología Celular y Molecular, ICBM, Facultad de Medicina, Universidad de Chile, Santiago, Chile.
Alejandra Sandoval-RodríguezPrograma de Biología Celular y Molecular, ICBM, Facultad de Medicina, Universidad de Chile, Santiago, Chile.
Angélica LópezPrograma de Biología Celular y Molecular, ICBM, Facultad de Medicina, Universidad de Chile, Santiago, Chile.
Sylvia OrtizPrograma de Biología Celular y Molecular, ICBM, Facultad de Medicina, Universidad de Chile, Santiago, Chile.
Juana P CorreaLaboratorio de Ecología, Departamento de Ciencias Biológicas Animales, Facultad de Ciencias Veterinarias y Pecuarias, Universidad de Chile, Santiago, Chile.
Miguel SaavedraLaboratorio de Parasitología Básico-Clínica, ICBM, Facultad de Medicina, Universidad de Chile, Santiago, Chile.
Carezza Botto-MahanDepartamento de Ciencias Ecológicas, Facultad de Ciencias, Universidad de Chile, Santiago, Chile.
Pedro E CattanLaboratorio de Ecología, Departamento de Ciencias Biológicas Animales, Facultad de Ciencias Veterinarias y Pecuarias, Universidad de Chile, Santiago, Chile.
Aldo SolariPrograma de Biología Celular y Molecular, ICBM, Facultad de Medicina, Universidad de Chile, Santiago, Chile. asolari@med.uchile.cl.
University of Chile · CL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChagas disease caused by Trypanosoma cruzi is considered a major public health problem in America. After an acute phase the disease changes to a chronic phase with very low parasitemia. The parasite presents high genetic variability with seven discrete typing units (DTUs): TcI-TcVI and Tc bat. The aim of this work is to evaluate fluctuation of parasitemia and T. cruzi DTUs in naturally infected Octodon degus.

methodsAfter animal capture parasitemia was obtained by qPCR and later the animals were evaluated by three serial xenodiagnoses using two insect vector species, Mepraia spinolai and Triatoma infestans. The parasites amplified over time by insect xenodiagnosis were analyzed by conventional PCR and after that the infective T. cruzi were characterized by means of hybridization tests.

resultsThe determination of O. degus parasitemia before serial xenodiagnosis by qPCR reveals a great heterogeneity from 1 to 812 parasite equivalents/ml in the blood stream. The T. cruzi DTU composition in 23 analyzed animals by xenodiagnosis oscillated from mixed infections with different DTUs to infections without DTU identification or vice versa, this is equivalent to 50% of the studied animals. Detection of triatomine infection and composition of T. cruzi DTUs was achieved more efficiently 40 days post-infection rather than after 80 or 120 days.

conclusionTrypanosoma cruzi DTUs composition fluctuates over time in naturally infected O. degus. Three replicates of serial xenodiagnosis confirmed that living parasites have been studied. Our results allow us to confirm that M. spinolai and T. infestans are equally competent to maintain T. cruzi DTUs since similar results of infection were obtained after xenodiagnosis procedure.

Indexed as

Genetic VariationParasitemiaAcute DiseaseAnimalsChagas DiseaseDisease ReservoirsGenotypeInsect VectorsMolecular TypingOctodonReal-Time Polymerase Chain ReactionSerogroupTriatomaTriatominaeTrypanosoma cruziXenodiagnosisOctodon degusqPCRTriatomine speciesTrypanosoma cruziXenodiagnosis

Identifiers

PMID28784152
PMCPMC5547523
OpenAlexW2743431179

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.