Comparative virulence of diverse Coxiella burnetii strains.
Carrie M LongPaul A BeareDiane C CockrellCharles L LarsonRobert A HeinzenPublished in: Virulence (2019)
Coxiella burnetii is an intracellular, gram-negative bacterium that causes the zoonosis Q fever. This disease typically presents as an acute flu-like illness with persistent, focalized infections occurring less frequently. Clinical outcomes of Q fever have been associated with distinct genomic groups of C. burnetii, suggesting that gene content is responsible for virulence potential. To investigate this hypothesis, the virulence of thirteen C. burnetii strains (representing genomic groups I-VI) was evaluated in a guinea pig infection model by intraperitoneal injection. Seven strains caused a sustained fever (at least two days ≥39.5°C) in at least half of the animals within each experimental group. At fourteen days post infection, animals were euthanized and additional endpoints were evaluated, including splenomegaly and serology. The magnitude of these endpoints roughly correlated with the onset, duration, and severity of fever. The most severe disease was caused by group I strains. Intermediate and no virulence were evidenced following infection with group II-V and group VI strains, respectively. Flow cytometric analysis of the mesenteric lymph nodes revealed decreased CD4+ T cell frequency following infection with highly virulent group I strains. These findings buttress the hypothesis that the pathogenic potential of C. burnetii strains correlates with genomic grouping. These data, combined with comparative genomics and genetic manipulation, will improve our understanding of C. burnetii virulence determinants.
Keyphrases
- escherichia coli
- pseudomonas aeruginosa
- biofilm formation
- staphylococcus aureus
- gram negative
- copy number
- antimicrobial resistance
- lymph node
- multidrug resistant
- liver failure
- genome wide
- machine learning
- gene expression
- early stage
- early onset
- drug induced
- transcription factor
- deep learning
- big data
- neoadjuvant chemotherapy
- ultrasound guided
- risk assessment
- locally advanced
- data analysis
- rectal cancer
- sentinel lymph node