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  • Oxford University Press (OUP)  (2)
  • 1
    In: Clinical Chemistry, Oxford University Press (OUP), Vol. 46, No. 5 ( 2000-05-01), p. 631-635
    Abstract: Background: The LightCyclerTM combines rapid amplification of nucleic acids in glass capillaries with melting curve analysis based on fluorescence resonance energy transfer for the sensitive detection of point mutations in various settings, such as drug resistance and hereditary diseases. Point mutations leading to an altered structure of lanosteroldemethylase, the target enzyme of the fungistatic azoles, are an important mechanism of acquired resistance in Candida albicans. Methods: We screened 13 fluconazole-resistant C. albicans and 21 fluconazole-resistant C. tropicalis strains (minimum inhibitory concentration & gt;128 mg/L), isolated from patients with AIDS, for the presence of defined point mutations by comparing conventional cycle sequencing with a newly designed LightCycler-based assay. Results: In C. tropicalis, 5 of 21 isolates showed the wild-type sequence, and 8 of 21 showed the homozygous nucleotide exchange thymine to cytosine at position 1554 (T1554C). A heterozygous genotype was detected in 8 of 21 isolates by the LightCycler, but in only 3 of 21 isolates by conventional cycle sequencing. In 2 of 13 C. albicans isolates, a homozygous point mutation leading to an amino acid exchange at position 464 (glycine to serine) was detected in both assays. Conclusion: The LightCycler technique offers standardized, fast, sensitive, and reproducible detection of point mutations in different Candida spp.
    Type of Medium: Online Resource
    ISSN: 0009-9147 , 1530-8561
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2000
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  • 2
    In: Sleep, Oxford University Press (OUP), Vol. 36, No. 3 ( 2013-03-01), p. 363-368
    Abstract: The clear discrimination of central and obstructive hypopneas is highly relevant to avoid misinterpretation and inappropriate treatment of complicated breathing patterns. Esophageal manometry is the accepted standard for the differentiation of the phenotypes of sleep apnea. However, it is limited in its use due to poor acceptance by patients and therefore rarely performed in routine clinical practice. Flattening of the inspiratory airflow curve, paradoxical breathing, arousal position, sleep stages, and breathing pattern at the end of the hypopnea can each give hints for the classification of hypopnea. The aim of this study was to evaluate a standardized algorithm combining these polysomnographic parameters for the discrimination of hypopneas in everyday practice. Methods: Polysomnography (PSG) and esophageal manometry were performed in 41 patients suspected of having sleep apnea (33 male, 52.3 ± 15.9 yr, body mass index 28.6 ± 4.5 kg/m2). Hypopneas were independently discriminated by blinded investigators based on esophageal pressure and the PSG-based algorithm. Only those hypopneas that could be differentiated with both methods were evaluated. Results: There were 1,175 of 1,837 hypopneas (64%) that could be defined by esophageal pressure, 1,812 (98.6%) by the PSG-based algorithm. Using esophageal pressure as a reference, the new algorithm correctly defined 76.9% of central and 60.5% of obstructive hypopneas. The overall accuracy was 68%. The isolated analysis of single PSG parameters revealed a lower accuracy compared with the combined algorithm. Conclusions: The PSG-based algorithm allows for discrimination of most hypopneas. It is advantageous in comparison with esophageal pressure because it is noninvasive and less impaired by artefacts. Therefore, it is a potentially helpful tool for sleep specialists.
    Type of Medium: Online Resource
    ISSN: 0161-8105 , 1550-9109
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2013
    detail.hit.zdb_id: 2056761-3
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