COPD

Metabolites related to COPD

Within a clinical study the exhaled breath of persons suffering COPD without and with lung cancer and healthy volunteers was investigated using an Ion Mobility Spectrometer coupled to a Multi-Capillary Column without any pre-separation or pre-enrichment. A single analyte was be able to separate the two groups of healthy persons and those such suffering from COPD with and without lung cancer. The sensitivity obtained was 60%, the specificity 91%, the positive predictive value 95%. The peak was characterized as cyclohexanone (CAS 108-94-1). Thus, a concentration of cyclohexanone above the threshold could be seen as an indicator for COPD. The identity of the peak used for separation of the two groups must be validated with a greater population and external standards. Additional studies with a higher population and parallel measurements using GC/MSD will support the identification further.

 

Additional Information:
  • Westhoff, M., Litterst, P., Maddula, S., Bödeker, B., Baumbach, J.I., Statistical and Bioinformatical Methods to Differentiate Chronic Obstructive Pulmonary Disease (COPD) including Lung Cancer from Healthy Control by Breath Analysis using Ion Mobility Spectrometry - Int. J. Ion Mobility Spectrom. 14 (2011)
  • Koczulla, R., Hattesohl, A., Schmid, S., Bödeker, B., Maddula, S. & Baumbach, J. I., MCC/IMS as potential noninvasive technique in the diagnosis of patients with COPD with and without alpha 1-antitrypsin deficiency. - Int. J. Ion Mobility Spectrom. 14 (2011).
  • Bessa, V., Darwiche, K., Teschler, H., Sommerwerck, U., Rabis, T., Baumbach, J. I. & Freitag, L., Detection of volatile organic compounds (VOCs) in exhaled breath of patients with chronic obstructive pulmonary disease (COPD) by ion mobility spectrometry. Int. J. Ion Mobility Spectrom. 14, 7-13, doi:10.1007/s12127-011-0060-2 (2011)
  • Westhoff, M., Litterst, P., Maddula, S., Bödecker, B., Rahmann, S., Davies, A. N. & Baumbach, J. I. Differentiation of chronic obstructive pulmonary disease (COPD) including lung cancer from healthy control group by breath analysis using ion mobility spectrometry Int. J. Ion Mobility Spectrom. 13, 131-139 (2010).