Common Bed Bugs: Non-Viable Hosts for Trypanosoma rangeli Parasites
Sanam Meraj; Phillip Phung; Kelvin Lau; Carl Lowenberger; Gerhard Gries · 2024 · Cells
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
The hemoflagellate parasite Trypanosoma rangeli is transmitted by triatomine kissing bugs and may co-infect humans together with its Chagas disease-causing congener T. cruzi . Using real-time quantitative polymerase chain reaction (RT-qPCR) and antimicrobial assays, we studied ( i ) the temporal and spatial distribution of T. rangeli in common bed bugs, Cimex lectularius , following oral ingestion and hemocoelic injection of T. rangeli, and ( ii ) the immune responses of bed bugs induced by T. rangeli infections. Irrespective of infection mode, no live T. rangeli were present in the bed bugs’
Abstract by Sanam Meraj; Phillip Phung; Kelvin Lau; Carl Lowenberger; Gerhard Gries, Cells (2024) — licensed CC BY 4.0.
About to run something similar?
Run an AI Precheck on your own design to catch failure modes like this one before you spend the time. Your first desk check is free.
Related failures
t-Test at the Probe Level: An Alternative Method to Identify Statistically Significant Genes for Microarray Data
Negative / Null Result ReportMeteorological Causes of the Secular Variations in Observed Extreme Precipitation Events for the Conterminous United States
Negative / Null Result ReportThe Next Generation of Sepsis Clinical Trial Designs
Negative / Null Result ReportAnalysis of DNA Methylation in Young People: Limited Evidence for an Association Between Victimization Stress and Epigenetic Variation in Blood
Negative / Null Result ReportStudy preregistration: an early example and analysis.
Negative / Null Result ReportInsights Into LSTM Fully Convolutional Networks for Time Series Classification
WASTE indexes this work — it does not host or republish it. Failure-type classification is automated and approximate.
Metadata source: DOAJ · DOI 10.3390/cells13242042