Prevalence of Bartonella species antibodies and Bartonella species DNA in the blood of cats with and without fever
ABSTRACT The purpose of this study was to determine whether there are associations between Bartonella species antibody (enzyme-linked immunosorbent assay (ELISA) and Western blot (WB)) and polymerase chain reaction assay results in cats with and without fever. Afebrile control cats (39/93; 42.0%) were more likely to have Bartonella species antibodies than cats with fever (29/93; 31.2%). The difference in prevalence of Bartonella species deoxyribonucleic acid (DNA) in blood of cats with fever (14/81; 17.3%) as compared to afebrile control cats (6/81; 7.4%) approached statistical significance (P=0.0571). Bartonella species ELISA or WB results frequently did not correlate to the presence or absence of Bartonella species DNA in blood. The results of this study indicate that in cats, Bartonella species antibody tests cannot predict whether fever is due to Bartonella species infection and should not be used to determine the Bartonella species infection status.
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ABSTRACT: Felis catus gammaherpesvirus 1 (FcaGHV1), recently discovered in the USA, was detected in domestic cats in Australia (11.4%, 95% confidence interval 5.9–19.1, n=110) and Singapore (9.6%, 95% confidence interval 5.9–14.6, n=176) using qPCR. FcaGHV1 qPCR positive cats were 2.8 times more likely to be sick than healthy. Risk factors for FcaGHV1 detection included being male, increasing age and coinfection with pathogenic retroviruses, feline immunodeficiency virus (FIV) or feline leukaemia virus. FcaGHV1 DNA was detected in multiple tissues from infected cats with consistently high virus loads in the small intestine. FcaGHV1 viral load was significantly higher in FIV-infected cats compared with matched controls, mimicking increased Epstein–Barr virus loads in human immunodeficiency virus-infected humans. FcaGHV1 is endemic in distant geographic regions and is associated with being sick and with coinfections. Horizontal transmission of FcaGHV1 is supported, with biting being a plausible route. A pathogenic role for FcaGHV1 in domestic cats is supported.Virology 07/2014; s 460–461:100–107. DOI:10.1016/j.virol.2014.05.007 · 3.28 Impact Factor
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ABSTRACT: I hate medical drama. If I want drama I will watch a movie, a sporting event or a TV show. Bartonella has almost 2,000 articles on PubMed, but almost no one realizes it is a major source of depression and suicide, panic attacks and social anxiety, seizures, heart attacks, personality change, pushy be- havior, divorce, profound narcissism, eccentric obsessions, irritability, hostility, property destruction, cursing, fatigue, chemical sensitivity, memory trouble, addiction to "take the edge off," attention trouble, autism, impulsive rage, fighting and even manslaughter. It can cause you to have 20 types of injury to every organ of the body, and perhaps over a hundred effects on the brain. In this short article, I am going to focus on the "real world" issues of Bartonella and ignore its effects on your spleen or gizzard. Blindness is routine in medicine. We look at what we believed 50 years ago in mainstream medicine and shudder. Let me let you in on a "hot" stock tip, or a hot medical tip for a "racehorse" that is al- ready across the finish line. Specifically, I have spent thousands of hours studying Bartonella, and as the author of the most recent two-part color textbook on Bartonella, I shudder more each week as I deal with this infection's new lessons. Bartonella is not a shower rinse, it is a Katrina, and no one understands the levies have been completely destroyed. That is the genius of Bartonella. It destroys lives without causing obvious illness. This is a bacterium that actually turns off a fever (1) and floats in the blood, turning off parts of hu - man immunity. The entire world is blind to the massive destruction of Bartonella, but that is coming to an end. It helped destroy Napoleon's army and aided in their defeat (2). And in modern times I feel strongly it is vastly more common than Lyme, and it is perhaps second only to cold/flu and the 400 million infected with malaria each year.
Conference Paper: Voice activity detection in nonstationary Gaussian noise[Show abstract] [Hide abstract]
ABSTRACT: The problem of voice activity detection in additive nonstationary Gaussian noise is considered. A new algorithm for the problem is presented. The algorithm utilizes the differences of the probability distribution properties of noise and speech signals. The magnitude density (mdf) and the magnitude distribution functions (MDF) are used to monitor the noise level for automatic threshold estimation. The estimate is shown to be accurate even when the analysis window does not fully contain non-speech signals and even in the presence of nonstationary noise. The voice activity detection algorithm is shown to operate reliably in SNR down to -5 dB. The method is compared with the periodicity measure method and zero-crossings method. Finally, a fusion algorithm utilizing those methods is suggestedSignal Processing Proceedings, 1998. ICSP '98. 1998 Fourth International Conference on; 02/1998