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1259003 
Journal Article 
Analysis of differentially regulated mRNAs in peripheral blood monocytes of berylliosis patients after in vitro stimulation 
Gaede, KI; Mamat, U; Schlaak, M; Müller-Quernheim, J 
2000 
Yes 
Journal of Molecular Medicine
ISSN: 0946-2716
EISSN: 1432-1440 
78 
293-299 
English 
In berylliosis and other granulomatous diseases the macrophage is regarded as effector cell in granuloma formation. However, little is known about granuloma-associated regulation of genes in these cells. Differential display reverse transcription polymerase chain reaction (DDRT-PCR) is an attractive method for detection of differentially expressed genes. Since DDRT-PCR requires a comparably low quantity of RNA, its application to rare and limited amounts of clinical samples is convenient. In the present study we applied DDRT-PCR in a multiple and complex comparison of expressed sequence tags induced in response to various granuloma-associated and control stimuli. Since we are interested in granuloma-restricted changes, we tested peripheral blood monocytes from berylliosis patients by DDRT-PCR stimulated with up to nine different stimuli, including BeSO4, the causal agent of berylliosis. Comparison of a total of 1663 sequence tags in four berylliosis patients revealed a mean of 32.5-37.4% differentially regulated sequence tags in peripheral blood monocytes of berylliosis patients, caused by stimuli including beryllium or Mycobacterium tuberculosis and control stimuli such as Latex or Zymosan. In 7.7-28.0% of the analyzed sequence tags we detected a differential regulation restricted to the presence of granuloma-associated stimuli BeSO4, HgS, LiCO3, NiSO4, lipopolysaccharide, and/or heat killed M. tuberculosis; 1.4-12.3% were induced by more than one granuloma-associated stimulus. Alterations associated with BeSO4 and one of the named stimuli were detected in 1.4-4.5%. An exclusive association with BeSO4 was found in 2.6-5.7% of the analyzed sequence tags. 
granuloma; berylliosis; monocytes; differential display reverse transcription PCR 
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