Infection Due to Mycobacterium haemophilum Identified by Whole Cell Lipid Analysis and Nucleic Acid Sequencing

Artenstein, Andrew W.; Fritzinger, David C.; Gasser, Robert A.; Skillman, Laurie P.; McEvoy, Peter; Hadfield, Ted L.

doi:10.1093/clinids/19.6.1155

Cited by 8 publications

(2 citation statements)

References 14 publications

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“…In the last few years, 38 additional cases of M. haemophilum infection have been reported: 24 patients with AIDS (6, 18, 22, 24, 27, 29, 31, 36, 44-46, 48, 56); 6 children with lymphadenitis (4,48); 3 bone marrow transplant recipients (53); 2 cardiac transplant recipients (12,30); and 1 patient each who had coronary artery bypass surgery (35), non-Hodgkin's lymphoma (5), rheumatoid arthritis (14), or marrow hypoplasia (3).…”

Section: Historical Perspectivementioning

confidence: 99%

Mycobacterium haemophilum: microbiology and expanding clinical and geographic spectra of disease in humans

et al. 1996

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Reports of the association of Mycobacterium haemophilum with disease in humans have greatly increased. At least 64 cases have now been reported, with symptoms ranging from focal lesions to widespread, systemic disease. The organism is now known to cause primarily cutaneous and subcutaneous infection, septic arthritis, osteomyelitis, and pneumonitis in patients who are immunologically compromised and lymphadenitis in apparently immunocompetent children. Underlying conditions in the compromised patients have included AIDS; renal, bone marrow, and cardiac transplantation; lymphoma; rheumatoid arthritis; marrow hypoplasia; and Crohn's disease. Reports have originated from diverse geographic areas worldwide. The epidemiology of M. haemophilum remains poorly defined; there appears to be a genetic diversity between strains isolated from different regions. The organism is probably present in the environment, but recovery by sampling has not been successful. M. haemophilum has several unique traits, including predilection for lower temperatures (30 to 32 degrees C) and requirement for iron supplementation (ferric ammonium citrate or hemin). These may in the past have compromised recovery in the laboratory. Therapy has not been well elucidated, and the outcome appears to be influenced by the patient's underlying immunosuppression. The organisms are most susceptible to ciprofloxacin, clarithromycin, rifabutin, and rifampin. Timely diagnosis and therapy require communication between clinician and the laboratory.

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Section: Historical Perspectivementioning

confidence: 99%

Mycobacterium haemophilum: microbiology and expanding clinical and geographic spectra of disease in humans

et al. 1996

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“…Disseminated infection with M. haemophilum is associated with immunosuppression with solid organ transplant, long-term steroid use, AIDS, and bone marrow transplant (64,151,160,(384)(385)(386)(387)(388)(389).…”

Section: Haemophilummentioning

confidence: 99%

Metabolomic Insights into Tuberculosis: Machine Learning Approaches for Biomarker Identification

2023

IJMCB

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The lung parenchyma is largely impacted by the infectious condition known as pulmonary tuberculosis (pulmonary TB) when the immune system creates a wall around the germs in the lungs, a tiny, hard bulge known as a tubercle develops, earning the disease the name tuberculosis. Although the majority of TB germs target the lungs, they can also harm other bodily organs. The identification of TB biomarkers, which are crucial for diagnosis, treatment monitoring, risk analysis, and prognosis, has been the subject of extensive research. Differences in metabolites between normal cells and tuberculosis are considered to be able to support the diagnosis of tuberculosis. Metabolite data was taken from the Metabolomic workbench and further identification and prediction were carried out in silico. A total of 44 samples found 69 metabolites which were then carried out further analysis. Found as many as 5 metabolites that play an important role in tuberculosis. Of the 5 metabolites, 2 candidate biomarkers were found which are known to have potential as biomarkers. The candidate biomarkers for these metabolites are trans-3-methyluric acid and nicotinic acid. However, this simulation needs further testing to obtain more accurate biomarkers and support the diagnosis.

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Other Nontuberculous Mycobacteria and Skin Infection

Bonamonte

Verni

Angelini

2017

Mycobacterial Skin Infections

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Infection Due to Mycobacterium haemophilum Identified by Whole Cell Lipid Analysis and Nucleic Acid Sequencing

Cited by 8 publications

References 14 publications

Mycobacterium haemophilum: microbiology and expanding clinical and geographic spectra of disease in humans

Mycobacterium haemophilum: microbiology and expanding clinical and geographic spectra of disease in humans

Metabolomic Insights into Tuberculosis: Machine Learning Approaches for Biomarker Identification

Other Nontuberculous Mycobacteria and Skin Infection

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