Q fever

Cutler, Sally J.; Bouzid, Maha; Cutler, Ronald R.

doi:10.1016/j.jinf.2006.10.048

Cited by 114 publications

(104 citation statements)

References 40 publications

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“…4, 8-10, 14, 15 Clinical features of brucellosis are similar to those of Q fever, and risk factors for both of these diseases often coexist in a similar patient demographic. 16 In the current study, 10% (n = 3) of patients were also positive for Q fever by serologic analysis.…”

mentioning

confidence: 47%

Brucellosis in Northern Australia

Eales¹,

Norton²,

Ketheesan³

2010

The American Society of Tropical Medicine and Hygiene

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The aim of this study was to define the clinical presentation of brucellosis in northern Australia and to assess the long-term impact of brucellosis on individual lives. A retrospective review was conducted to assess 32 patients with brucellosis caused by Brucella suis in Townsville, Australia during 1996–2009. All patients were Caucasian males with a mean age of 35 years. The greatest risk factor for brucellosis was feral pig hunting (94%, n = 30). There was one laboratory-acquired case. The most frequent clinical features included fever (94%, n = 30), fatigue (78%, n = 25) and arthralgia (78%, n = 25). The complication rate was 25% (n = 8). A delay in diagnosis of more than 14 days significantly increased the risk of the patient developing complications (95% confidence interval = 3.20–198.96, P = 0.002). The long-term impact of brucellosis was significant; 64% (16) of the patients reporting recurrent symptoms. This study highlights the need for further research on brucellosis caused by B. suis.

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mentioning

confidence: 47%

Brucellosis in Northern Australia

Eales¹,

Norton²,

Ketheesan³

2010

The American Society of Tropical Medicine and Hygiene

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“…Q fever is a zoonosis of worldwide distribution caused by Gram-negative intracellular bacteria Coxiella burnetii, which can infect arthropods, birds and animals (Cutler et al, 2007). Currently it is not possible to accurately estimate the true prevalence infection in domestic ruminants, due to lack of well-designed studies.…”

Section: Query Fever (Q Fever)mentioning

confidence: 99%

Review of common causes of abortion in dairy cattle in Ethiopia

Tulu¹,

Deresa²,

Begna³

et al. 2018

J. Vet. Med. Anim. Health

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Abortion in dairy cattle may be caused by infectious and non-infectious agents. Infectious causes of abortion in dairy cattle include brucellosis, leptospirosis, listeriosis, Q fever, bovine viral diarrhea, mycotic abortion and neosporosis. Non-infectious causes of abortion in dairy cattle are genetic and non-genetic disorder. Risk factors associated with abortion in dairy cattle are genetic, environmental, management, geographical factors and infectious factors. Abortion in dairy cows brings about breeding and productive damages. Abortions cause significant economic loss to dairy farm. These losses can be attributed to loss of replacement calves, reduced milk production, costs of treatment, feeding of animals and premature culling of productive cows and heifers. Diagnosis of bovine abortion includes the collection of a complete history of the case and relevant epidemiological data and collected sample for analysis. However, determining the cause of bovine abortion is difficult as abortions are caused by numerous infectious and noninfectious factors. Status of abortion and breeds affected by abortion in Ethiopia were also reviewed.

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“…In nature, L. pneumophila multiplies in a broad range of amoebae, whereas C. burnetii infects various ruminants, such as cattle and sheep (3,4). The intracellular vacuole formed by these two bacteria has been shown to be completely different; L. pneumophila inhibits phagosomelysosome fusion and resides in a vacuole at almost neutral pH, whereas C. burnetii multiplies in an acidic vacuole (5)(6)(7)(8).…”

mentioning

confidence: 99%

Computational modeling and experimental validation of the Legionella and Coxiella virulence-related type-IVB secretion signal

Lifshitz¹,

Burstein

Peeri

et al. 2013

Proc. Natl. Acad. Sci. U.S.A.

169

189

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Legionella and Coxiella are intracellular pathogens that use the virulence-related Icm/Dot type-IVB secretion system to translocate effector proteins into host cells during infection. These effectors were previously shown to contain a C-terminal secretion signal required for their translocation. In this research, we implemented a hidden semi-Markov model to characterize the amino acid composition of the signal, thus providing a comprehensive computational model for the secretion signal. This model accounts for dependencies among sites and captures spatial variation in amino acid composition along the secretion signal. To validate our model, we predicted and synthetically constructed an optimal secretion signal whose sequence is different from that of any known effector. We show that this signal efficiently translocates into host cells in an Icm/Dot-dependent manner. Additionally, we predicted in silico and experimentally examined the effects of mutations in the secretion signal, which provided innovative insights into its characteristics. Some effectors were found to lack a strong secretion signal according to our model. We demonstrated that these effectors were highly dependent on the IcmS-IcmW chaperons for their translocation, unlike effectors that harbor a strong secretion signal. Furthermore, our model is innovative because it enables searching ORFs for secretion signals on a genomic scale, which led to the identification and experimental validation of 20 effectors from Legionella pneumophila, Legionella longbeachae, and Coxiella burnetii. Our combined computational and experimental methodology is general and can be applied to the identification of a wide spectrum of protein features that lack sequence conservation but have similar amino acid characteristics.pathogenomics | type-IV secretion | translocated substrates | Legionnaire disease | Q-fever

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Q fever

Cited by 114 publications

References 40 publications

Brucellosis in Northern Australia

Brucellosis in Northern Australia

Review of common causes of abortion in dairy cattle in Ethiopia

Computational modeling and experimental validation of the Legionella and Coxiella virulence-related type-IVB secretion signal

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