A Framework for Development of Useful Metabolomic Biomarkers and Their Effective Knowledge Translation

Despite the significant advantages of metabolomic biomarkers, no diagnostic tests based on metabolomics have been introduced to clinical use. There are many reasons for this, centered around substantial obstacles in developing clinically useful metabolomic biomarkers. Most significant is the need for interdisciplinary teams with expertise in metabolomics, analysis of complex clinical and metabolomic data, and clinical care. Importantly, the clinical need must precede biomarker discovery, and the experimental design for discovery and validation must reflect the purpose of the biomarker. Standard operating procedures for procuring and handling samples must be developed from the beginning, to ensure experimental integrity. Assay design is another challenge, as there is not much precedent informing this. Another obstacle is that it is not yet clear how to protect any intellectual property related to metabolomic biomarkers. Viewing a metabolomic biomarker as a natural phenomenon would inhibit patent protection and potentially stifle commercial interest. However, demonstrating that a metabolomic biomarker is actually a derivative of a natural phenomenon that requires innovation would enhance investment in this field. Finally, effective knowledge translation strategies must be implemented, which will require engagement with end users (clinicians and lab physicians), patient advocate groups, policy makers, and payer organizations. Addressing each of these issues comprises the framework for introducing a metabolomic biomarker to practice.

[1]  Andrew N. Lane,et al.  The Handbook of Metabolomics , 2012, Methods in Pharmacology and Toxicology.

[2]  M S Pepe,et al.  Phases of biomarker development for early detection of cancer. , 2001, Journal of the National Cancer Institute.

[3]  Janet Woodcock,et al.  The FDA critical path initiative and its influence on new drug development. , 2008, Annual review of medicine.

[4]  Catherine A Rimmer,et al.  Development of a Standard Reference Material for metabolomics research. , 2013, Analytical chemistry.

[5]  K. Jenpanich,et al.  [Drug administration]. , 1976, Thai journal of nursing.

[6]  R. Salek,et al.  NMR-based metabolomics in human disease diagnosis: applications, limitations, and recommendations , 2013, Metabolomics.

[7]  Oscar Yanes,et al.  Metabolomics: the apogee of the omics trilogy , 2012 .

[8]  J. Bruce German,et al.  Effects of sample handling and storage on quantitative lipid analysis in human serum , 2009, Metabolomics.

[9]  Jianke Ren,et al.  Metabolomic analysis of normal (C57BL/6J, 129S1/SvImJ) mice by gas chromatography-mass spectrometry: detection of strain and gender differences. , 2011, Talanta.

[10]  A. Wu,et al.  Implementation of liquid chromatography/mass spectrometry into the clinical laboratory. , 2013, Clinica chimica acta; international journal of clinical chemistry.

[11]  C. Lim,et al.  Current developments in LC-MS for pharmaceutical analysis. , 2002, Biological & pharmaceutical bulletin.

[12]  Wei Zheng,et al.  Differential expression analysis for paired RNA-seq data , 2013, BMC Bioinformatics.

[13]  Nigel W. Hardy,et al.  Proposed minimum reporting standards for chemical analysis , 2007, Metabolomics.

[14]  Reinhard Laubenbacher,et al.  Bioinformatics tools for cancer metabolomics , 2011, Metabolomics.

[15]  D. Raftery Mass spectrometry in metabolomics : methods and protocols , 2014 .

[16]  Xiaoyan Liu,et al.  Metabolic signatures of esophageal cancer: NMR-based metabolomics and UHPLC-based focused metabolomics of blood serum. , 2013, Biochimica et biophysica acta.

[17]  Gabi Kastenmüller,et al.  Pre-Analytical Sample Quality: Metabolite Ratios as an Intrinsic Marker for Prolonged Room Temperature Exposure of Serum Samples , 2015, PloS one.

[18]  Wayne Jiang,et al.  Good Laboratory Practice in Analytical Laboratory , 2005 .

[19]  H. Vogel,et al.  Serum metabolomic profile as a means to distinguish stage of colorectal cancer , 2012, Genome Medicine.

[20]  P. McGettigan Transcriptomics in the RNA-seq era. , 2013, Current opinion in chemical biology.

[21]  R. Holman,et al.  Effect of sex and age on fatty acid composition of human serum lipids. , 1979, The American journal of clinical nutrition.

[22]  David F Ransohoff,et al.  How to improve reliability and efficiency of research about molecular markers: roles of phases, guidelines, and study design. , 2007, Journal of clinical epidemiology.

[23]  G. Hwang,et al.  LC/MS-based polar metabolite profiling reveals gender differences in serum from patients with myocardial infarction. , 2015, Journal of pharmaceutical and biomedical analysis.

[24]  R. Lewensohn,et al.  Metabolomics: Moving to the Clinic , 2010, Journal of Neuroimmune Pharmacology.

[25]  D. DeMets,et al.  Biomarkers and surrogate endpoints: Preferred definitions and conceptual framework , 2001, Clinical pharmacology and therapeutics.

[26]  Y. Qiu,et al.  Gas Chromatography in Metabolomics Study , 2014 .

[27]  Otto Savolainen,et al.  The use of mass spectrometry for analysing metabolite biomarkers in epidemiology: methodological and statistical considerations for application to large numbers of biological samples , 2016, European Journal of Epidemiology.

[28]  M. Goerner,et al.  MS/MS-libraries with triple quadrupole-tandem mass spectrometers for drug identification and drug screening , 2000 .

[29]  Mervyn Thomas,et al.  Analyzing the metabolome. , 2014, Methods in molecular biology.

[30]  Graham B. I. Scott,et al.  HUPO Plasma Proteome Project specimen collection and handling: Towards the standardization of parameters for plasma proteome samples , 2005, Proteomics.

[31]  J. Stoker,et al.  The Department of Health and Human Services. , 1999, Home healthcare nurse.

[32]  Gender-specific pathway differences in the human serum metabolome , 2015, Metabolomics.

[33]  Andreas Zell,et al.  Preanalytical aspects and sample quality assessment in metabolomics studies of human blood. , 2013, Clinical chemistry.

[34]  G. Siuzdak,et al.  Nonlinear data alignment for UPLC-MS and HPLC-MS based metabolomics: quantitative analysis of endogenous and exogenous metabolites in human serum. , 2006, Analytical chemistry.

[35]  Karimollah Hajian-Tilaki,et al.  Sample size estimation in diagnostic test studies of biomedical informatics , 2014, J. Biomed. Informatics.

[36]  H. Willard,et al.  Genomic and personalized medicine: foundations and applications. , 2009, Translational research : the journal of laboratory and clinical medicine.

[37]  Jimmy Lin,et al.  Transcriptomics in cancer diagnostics: developments in technology, clinical research and commercialization , 2015, Expert review of molecular diagnostics.

[38]  Simone Wahl,et al.  Targeted Metabolomics Identifies Reliable and Stable Metabolites in Human Serum and Plasma Samples , 2014, PloS one.

[39]  Robert Mistrik,et al.  Applications of Fourier Transform Ion Cyclotron Resonance (FT-ICR) and Orbitrap Based High Resolution Mass Spectrometry in Metabolomics and Lipidomics , 2016, International journal of molecular sciences.

[40]  G. Siuzdak,et al.  Innovation: Metabolomics: the apogee of the omics trilogy , 2012, Nature Reviews Molecular Cell Biology.

[41]  F. Kronenberg,et al.  Effect of sample storage on the measurement of lipoprotein[a], apolipoproteins B and A-IV, total and high density lipoprotein cholesterol and triglycerides. , 1994, Journal of lipid research.

[42]  James H. Doroshow,et al.  AACR-FDA-NCI Cancer Biomarkers Collaborative Consensus Report: Advancing the Use of Biomarkers in Cancer Drug Development , 2010, Clinical Cancer Research.

[43]  Farshad Farshidfar,et al.  A validated metabolomic signature for colorectal cancer: exploration of the clinical value of metabolomics , 2016, British Journal of Cancer.

[44]  N. Myong,et al.  The proteomics approach to find biomarkers in gastric cancer. , 2003, Journal of Korean medical science.

[45]  J. Emery,et al.  External validation of risk prediction models for incident colorectal cancer using UK Biobank , 2018, British Journal of Cancer.

[46]  Kathryn A. Phillips,et al.  Diagnostics and biomarker development: priming the pipeline , 2006, Nature Reviews Drug Discovery.

[47]  Eiichiro Fukusaki,et al.  Current metabolomics: technological advances. , 2013, Journal of bioscience and bioengineering.

[48]  Huanwen Chen,et al.  Monitoring diet effects via biofluids and their implications for metabolomics studies. , 2007, Analytical chemistry.

[49]  Fotini Betsou,et al.  Influence of common preanalytical variations on the metabolic profile of serum samples in biobanks , 2011, Journal of biomolecular NMR.

[50]  Kosuke Saito,et al.  Plasma and Serum Lipidomics of Healthy White Adults Shows Characteristic Profiles by Subjects’ Gender and Age , 2014, PloS one.

[51]  D E Grobbee,et al.  External validation is necessary in prediction research: a clinical example. , 2003, Journal of clinical epidemiology.

[52]  Royston Goodacre,et al.  Systems level studies of mammalian metabolomes: the roles of mass spectrometry and nuclear magnetic resonance spectroscopy. , 2011, Chemical Society reviews.

[53]  Bärbel Vieth,et al.  Residue analysis of 500 high priority pesticides: better by GC-MS or LC-MS/MS? , 2006, Mass spectrometry reviews.

[54]  G. Kruppa,et al.  Metabolomics applications of FT-ICR mass spectrometry. , 2005, Mass spectrometry reviews.

[55]  R. Katz,et al.  Biomarkers and surrogate markers: An FDA perspective , 2004, NeuroRX.

[56]  E. Marchiori,et al.  Sample handling for mass spectrometric proteomic investigations of human sera. , 2005, Analytical chemistry.