Publication Details |
Reference Category | Journals |
DOI / URL | link |
Title (Primary) | Establishing a reliable multiple reaction monitoring-based method for the quantification of obesity-associated comorbidities in serum and adipose tissue requires intensive clinical validation |
Author | Oberbach, A.; Schlichting, N.; Neuhaus, J.; Kullnick, Y.; Lehmann, S.; Heinrich, M.; Dietrich, A.; Mohr, F.W.; von Bergen, M.; Baumann, S. |
Journal | Journal of Proteome Research |
Year | 2014 |
Department | METABOX; PROTEOM |
Volume | 13 |
Issue | 12 |
Page From | 5784 |
Page To | 5800 |
Language | englisch |
UFZ wide themes | RU3; |
Abstract | Multiple reaction monitoring (MRM) based mass spectrometric quantification of peptides offers the chance to analyze various analytes in parallel and is feasible for analysis of tissues secreting the markers of interest. In obesity research biomarkers reflecting multiple comorbidities and allow monitoring of therapy outcomes are required. Surprisingly, studies comparing MRM datasets with established methods are rare and therefore the biological and clinical value remains questionable. A nano-UPLC-MS/MS method for the quantification of obesity related surrogate markers in serum and adipose tissue was established. Proteotypic peptides for complement C3, adiponectin, angiotensinogen, and plasma retinol binding protein (RBP4) were quantified and compared to ELISA. MRM-method variabilities were mainly below 10%. The comparison with other MS-based approaches showed a good correlation, while large differences were obtained versus ELISA. The verification of MRM was performed in lean and obese phenotype and was able to discriminate cohorts. Additionally weight loss related changes of surrogate markers were monitored in obese phenotype after gastric bypass surgery in a seven months follow-up. However, inclusion of additional biomarkers was necessary to interpret data properly. Finally, the establishing of disease related MRMs should include steps of matching data with clinically approved standard methods and defining reference values in convenient cohorts. |
Persistent UFZ Identifier | https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=15392 |
Oberbach, A., Schlichting, N., Neuhaus, J., Kullnick, Y., Lehmann, S., Heinrich, M., Dietrich, A., Mohr, F.W., von Bergen, M., Baumann, S. (2014): Establishing a reliable multiple reaction monitoring-based method for the quantification of obesity-associated comorbidities in serum and adipose tissue requires intensive clinical validation J. Proteome Res. 13 (12), 5784 - 5800 |