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Record W4207050717 · doi:10.21203/rs.3.rs-1258381/v1

Dirofilaria Immitis: Genotyping European Clinical Samples and US Laboratory Isolates at Single Nucleotide Polymorphic (SNP) Sites Associated With Macrocyclic Lactone Susceptibility and Resistance

2022· preprint· en· W4207050717 on OpenAlexafffund
Emily J. Curry, Donato Traversa, Elena Carretón, Laura Kramer, Heinz Sager, Lisa Young, Roger K. Prichard

Bibliographic record

VenueResearch Square · 2022
Typepreprint
Languageen
FieldMedicine
TopicParasitic Diseases Research and Treatment
Canadian institutionsMcGill University
FundersGénome QuébecCompute Canada
KeywordsBiologySNPSingle-nucleotide polymorphismGenotypeDirofilaria immitisGenotypingGeneticsImmunologyGeneHelminths

Abstract

fetched live from OpenAlex

Abstract Background: Dirofilaria immitis is a parasitic filarial nematode. It is the causative agent of dirofilariosis, a potentially fatal pulmonary infection which primarily infects canids and felines. dirofilariosis infections are primarily controlled with a prophylactic macrocyclic lactone (ML) regimen. Recent evidence has confirmed the development of ML-resistant isolates in the US which are genetically distinct from wild-type populations. Previous research clinically validated 9 single nucleotide polymorphism (SNP) molecular markers associated with these ML resistance phenotypes isolated from the USA. Methods: In this study, three D. immitis US laboratory-maintained isolates: two susceptible isolates, Berkeley, and Georgia II, one resistant isolate, WildCat; and eleven European D. immitis clinical samples, from Italy, Spain, and Hungary were analyzed. The samples tested were fresh microfilaria (mf) in blood or adult female worms shipped in ethanol and rehydrated in phosphate buffered saline (PBS). After DNA extraction, each sample underwent MiSeq sequencing of regions encompassing the 9 SNP sites previously associated with macrocyclic lactone susceptibility and resistance. The nucleotide frequencies of the 9 SNP sites were analyzed and the pairwise fixation index (FST) of the top 2 SNP molecular markers were calculated to estimate the probability of identity with known susceptible and resistant isolates.Results: In the three laboratory-maintained US D. immitis isolates Berkeley had a 2-SNP pairwise FST of 0.00, Georgia II had a 2-SNP pairwise FST of 0.07 indicating two ML-susceptible genotypes. WildCat had a 2-SNP pairwise FST of 0.33 indicating a ML-resistant genotype. The genotype analysis of the European clinical samples showed that all eleven had 2-SNP pairwise FST of 0.00, which indicates their genotypes, at these SNP sites, are consistent with ML susceptibility. Conclusions: The results of the current study provides a genotypic analysis of European clinical samples with US SNP molecular markers associated with ML susceptibility and resistance. The eleven clinical samples tested show no genomic evidence of ML-resistance. Vigilance is needed to maintain susceptibility to heartworm preventives in regions of the world so far without resistance. The early adoption of genotyping of clinical D. immitis samples could provide an early indication of the potential development of ML-resistance and aid to distinguish clinical cases of heartworm infection due to ML resistance from those due to a lack of prevention or inadequate compliance, as has been seen in North America.

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)0.001
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 score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.099
GPT teacher head0.400
Teacher spread0.301 · 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".

Quick stats

Citations1
Published2022
Admission routes2
Has abstractyes

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