Sensitive Method for the Quantitative Detection of Mycoplasma Infections Aristo Vojdani, Ph.D. and Paul C. Choppa, C.L.S. Mycoplasma is an unusual bacterium: it does not possess a cell wall and it has the smallest genome of any bacteria that can replicate independently of host cells. Recently, Mycoplasma has received renewed attention as a pathogen in humans. However, laboratory diagnosis of Mycoplasma infections is hampered by difficulties in cultivating the organism in vitro. Recent availability of DNA-based technology facilitates the detection of different Mycoplasma species in blood and other body fluids with a high degree of sensitivity and specificity, and can also enable us to quantitate the Mycoplasma load in the patient. Results of Mycoplasma quantitation are expressed as the number of copies of Mycoplasma DNA per ml of blood. This quantitative assay will assist clinicians in following the efficacy and the pharmacokinetics of their recommended treatment. Mycoplasma infection has been implicated as a cofactor in AIDS, Chronic Fatigue, Arthritis, Respiratory Infection, Urethritis and Acute Pyelonephritis. Mycoplasma infection and human immunodeficiency virus (HIV) Mycoplasma incognitus (fermentans) has been described as a cofactor in the progression of AIDS. Growing evidence shows that Mycoplasma is an opportunistic pathogen and possibly a cofactor in other chronic diseases as well. M. incognitus was shown to be associated with lesions in the kidneys of HIV-positive patients. For instance, M. incognitus was detected in 40% of HIV positive homosexual men, but in less than 1% of the general population. Mycoplasma infections accelerate the progression of HIV disease by stimulating the replication of HIV-1 through selective activation of CD4+ T-lymphocytes. When a cell lysate of human Mycoplasma was added to cultured lymphocytes infected with HIV, significant enhancement of HIV replication was observed. These results relating to the consequences of opportunistic infection led us to investigate the prevalence and distribution of Mycoplasma in patients with Chronic Fatigue Syndrome (CFS), Fibromyalgia, and Rheumatoid Arthritis. The pathogenicity of M. incognitus in Chronic Fatigue Syndrome (CFS) patients During the past two years we have applied PCR-based technology to determine the prevalence of M. incognitus in blood samples of CFS patients (n=250). When specific primers for M. incognitus were used, 30% of CFS patients tested positive. Mycoplasmas have been shown to share a complex relationship with the immune system. Stimulatory and suppressive effects on lymphocytes, as well as both specific and nonspecific reactions have been described. Among them are B-cell and T- cell activation, and the induction of growth inhibitory cytokine secretion. Demonstration of the prevalence of the M. incognitus genome in 30% of CFS patients, in close temporal association with the dysregulation of cytokine production, may indicate an involvement of this organism as a major factor or cofactor in CFS pathogenesis. Rheumatoid Arthritis (RA) and Mycoplasma Infection: Many experts have suggested that RA may be caused by an infectious agent. Reports on the epidemiology of RA, and the fact that RA is about 30% genetic, are supportive evidence for an infectious etiology. Moreover, the autoimmune manifestations of RA are virtually identical to those seen in slow growing bacterial infections like chronic Mycobacterium. The arthritogenic potential of Mycoplasma in animals has led to extensive studies in determining their involvement in human RA. M. pulmonis and M. arthritidis are two species of Mycoplasma that produce arthritis in mice and rats. Whether these Mycoplasma species are capable of inducing RA in humans is currently under investigation. Schaeverbeke et. al., (J. Clin. Pathol. 1996; 49: 824-828) reported the presence of M. incognitus in the joints of 21% of patients with RA (n=38), 20% of patients with spondyloarthropathy and peripheral arthritis (n=10), 20% of patients with psoriatic arthritis (n=100), and 13% of patients with unclassified arthritis (n=31). During the past months we have applied PCR-based technology to determine the prevalence of M. incognitus in blood samples of RA patients (n=250). In 40% of patients, Mycoplasma gene sequences were detected. When specific primers for M. incognitus were used, 24% of Mycoplasma positive RA patients tested positive, indicating that other Mycoplasma species are involved in Arthritis. In the initial stage of RA produced by Mycoplasmas, living bacteria may release toxic substances, such as hydrogen peroxide and other toxic cellular components, which may cause tissue damage. The destruction of host cells promotes the growth of Mycoplasma by liberating cellular material that can be used as nutrients by the microorganisms. In spite of its viability, Mycoplasma Infections in it's chronic stationary phase can induce many new genes which can lead to production of superantigen and heat-shock proteins. Production of these harmful proteins lead to tissue destruction. The prevalence of Mycoplasma in this subset of RA patients may provide evidence for an infectious component in the pathogenesis of RA. Therefore, it is important to verify the triggering microbes so that a beneficial treatment with a prolonged course of antibiotics may be designed by the clinicians. Identification of Mycoplasma infections by Polymerase Chain Reaction (PCR) Different Mycoplasma species are associated with the progression of a variety of chronic diseases. Therefore, species identification and quantitation by a rapid, and sensitive laboratory test could be useful for stratification of patients in monitoring effective therapy. Accurate diagnosis of Mycoplasma is complicated because this bacterium is one of the few major pathogens that can not be easily cultivated in vitro. Serologic tests for Mycoplasma are the mainstays of laboratory diagnosis; however, these tests lack sensitivity and specificity due to a poor specific immune response of the host. In addition, the sensitivity of Mycoplasma detection by DNA probes ranges between 103 and 106 colony-forming units; this sensitivity level is not sufficient for use in a clinical laboratory (Table 1). Table 1: Comparative sensitivities and time needed for the identification of infectious organisms |