TY - JOUR
T1 - Analytical pitfalls and challenges in clinical metabolomics
AU - Kohler, Isabelle
AU - Verhoeven, Aswin
AU - Derks, Rico JE
AU - Giera, Martin
PY - 2016/7
Y1 - 2016/7
N2 - Metabolomics-based strategies have become an integral part of modern clinical research, allowing for a better understanding of pathophysiological conditions and disease mechanisms, as well as providing innovative tools for more adequate diagnostic and prognosis approaches. Metabolomics is considered an essential tool in precision medicine, which aims for personalized prevention and tailor-made treatments. Nevertheless, multiple pitfalls may be encountered in clinical metabolomics during the entire workflow, hampering the quality of the data and, thus, the biological interpretation. This review describes the challenges underlying metabolomics-based experiments, discussing step by step the potential pitfalls of the analytical process, including study design, sample collection, storage, as well as preparation, chromatographic and electrophoretic separation, detection and data analysis. Moreover, it offers practical solutions and strategies to tackle these challenges, ensuring the generation of high-quality data.
AB - Metabolomics-based strategies have become an integral part of modern clinical research, allowing for a better understanding of pathophysiological conditions and disease mechanisms, as well as providing innovative tools for more adequate diagnostic and prognosis approaches. Metabolomics is considered an essential tool in precision medicine, which aims for personalized prevention and tailor-made treatments. Nevertheless, multiple pitfalls may be encountered in clinical metabolomics during the entire workflow, hampering the quality of the data and, thus, the biological interpretation. This review describes the challenges underlying metabolomics-based experiments, discussing step by step the potential pitfalls of the analytical process, including study design, sample collection, storage, as well as preparation, chromatographic and electrophoretic separation, detection and data analysis. Moreover, it offers practical solutions and strategies to tackle these challenges, ensuring the generation of high-quality data.
KW - capillary electrophoresis
KW - clinical metabolomics
KW - data analysis
KW - GC
KW - LC
KW - lipidomics
KW - MS
KW - NMR
UR - http://www.scopus.com/inward/record.url?scp=84977080419&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84977080419&partnerID=8YFLogxK
U2 - 10.4155/bio-2016-0090
DO - 10.4155/bio-2016-0090
M3 - Review article
C2 - 27323646
AN - SCOPUS:84977080419
SN - 1757-6180
VL - 8
SP - 1509
EP - 1532
JO - Bioanalysis
JF - Bioanalysis
IS - 14
ER -