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Record W1990068611 · doi:10.1016/j.ijid.2014.03.767

Controversial role of leishmania RNA virus as a determinant of pathogenicity in human leishmaniasis

2014· article· en· W1990068611 on OpenAlexaff
Braulio M. Valencia, Marlene Jara, Vanessa Adaui, Mathilde Chantry, Milena Alba, Ana Pilar Ramos, Jorge Arévalo, Alejandro Llanos‐Cuentas, Andrea K. Boggild

Bibliographic record

VenueInternational Journal of Infectious Diseases · 2014
Typearticle
Languageen
FieldMedicine
TopicResearch on Leishmaniasis Studies
Canadian institutionsToronto General HospitalUniversity Health Network
Fundersnot available
KeywordsLeishmania braziliensisLeishmaniasisLeishmaniaVirologyCutaneous leishmaniasisBiologyRNAPolymerase chain reactionMolecular biologyGeneImmunologyGeneticsParasite hosting

Abstract

fetched live from OpenAlex

Background: American tegumentary leishmaniasis (ATL) is a neglected disease of South America where metastatic mucosal lesions (ML) can be seen in up to 5-20% of Leishmania Viannia complex infections. The Leishmania RNA virus-1 (LRV1) has been recently implicated as a possible pathogenic agent in ATL since disseminated disease (DisL) was induced by high LRV1-expressing amastigotes in an animal model, and human cases of DisL have been reportedly infected with LRV1-containing Leishmania parasites. None of these studies clearly supported its role in human disease. Methods & Materials: Fifty-six subjects with parasitologically confirmed ATL were clinically and parasitologically assessed. Lesion biopsy specimens were processed for detection and quantification of Leishmania (Viannia) DNA by a quantitative real-time PCR (qPCR) assay targeting kinetoplast DNA (kDNA) minicircles. Leishmania (Viannia) species were identified by PCR targeting the mpi gene and PCR-RFLP assays targeting cpb and hsp70 genes. LRV1 RNA detection was performed using reverse transcription (RT)-qPCR targeting conserved viral sequences. Results: Subjects were clinically classified as follows: a) Localized cutaneous leishmaniasis (LCL, 42.9%), b) ML (n = 28, 50%), and c) DisL (n = 4, 7.1%). Strain identification by clinical category was: a) LCL: L. (V.) braziliensis (56%) and L. (V.) guyanensis (31.3%), b) ML: L. (V.) braziliensis (60%) and L. (V.) peruviana (40%), and c) DisL: L. (V.) guyanensis. Rate of LRV1 detection was 7.1% in ML (2/28), 8.3% in LCL (2/24) and 50% in DisL (2/4). Considering DisL and ML as metastatic disease (MD) and LCL as non-metastatic disease (nMD), the rate of LRV1 detection was 8.3% in nMD and 12,5% in MD (p = 1.0). Even though detection of LRV1 was higher in DisL, an important co-morbidity was detected in those patients: HIV infection, subclinical TB infection, and disseminated mycobacterial disease. Parasite load in MD and nMD was comparable (37.8 vs. 86.4 parasites per 106 human cells, p = 0.52). There were no clinical or parasitological differences between parasite infected and non-infected by LRV1. Conclusion: Our findings do not resemble those reported in animal models. LRV1 may be a conditional contributor to metastatic spread of ATL, but we were unable to extrapolate findings from animal models to human disease.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.008
GPT teacher head0.298
Teacher spread0.290 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations10
Published2014
Admission routes1
Has abstractyes

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