The maternal serum metabolome by multisegment injection-capillary electrophoresis-mass spectrometry: a high-throughput platform and standardized data workflow for large-scale epidemiological studies

Meera Shanmuganathan, Zachary Kroezen, Biban Gill, Sandi Azab, Russell J. de Souza, Koon K. Teo, Stephanie Atkinson, Padmaja Subbarao, Dipika Desai, Sonia S. Anand, Philip Britz-McKibbin

Published: 2021-03-04 DOI: 10.1038/s41596-020-00475-0

mass spectrometry

serum metabolomics

capillary electrophoresis

standardized data workflow

large-scale epidemiological studies

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A standardized data workflow is described for large-scale serum metabolomic studies using multisegment injection-capillary electrophoresis-mass spectrometry. Multiplexed separations increase throughput (<4min/sample) for quantitative determinatio
Introduction
Materials
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Troubleshooting
Anticipated results
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ACKNOWLEDGMENTS

Viant, M. R., Kurland, I. J., Jones, M. R. & Dunn, W. B. How close are we to complete annotation of metabolomes? Curr. Opin. Chem. Biol. 36, 64–69 (2017).
Johnson, C. H., Ivanisevic, J. & Siuzdak, G. Metabolomics: beyond biomarkers and towards mechanisms. Nat. Rev. Mol. Cell Biol. 17, 451–459 (2016).
Wishart, D. S. Emerging applications of metabolomics in drug discovery and precision medicine. Nat. Rev. Drug Discov. 15, 473–484 (2016).
Zhou, W. et al. Longitudinal multi-omics of host–microbe dynamics in prediabetes. Nature 569, 663–671 (2019).
Brennan, L. & Hu, F. B. Metabolomics-based dietary biomarkers in nutritional epidemiology—current status and future opportunities. Mol. Nutr. Food Res. 63, 1–5 (2019).
Scalbert, A. et al. Narrative review the food metabolome: a window over dietary exposure. Am. J. Clin. Nutr. 99, 1286–1308 (2014).
Psychogios, N. et al. The human serum metabolome. PLoS ONE 6, e16957 (2011).
Kuehnbaum, N. L. & Britz-McKibbin, P. New advances in separation science for metabolomics: resolving chemical diversity in a post-genomic era. Chem. Rev. 113, 2437–2468 (2013).
Tzoulaki, I., Ebbels, T. M. D., Valdes, A., Elliott, P. & Ioannidis, J. P. A. Design and analysis of metabolomics studies in epidemiologic research: a primer on-omic technologies. Am. J. Epidemiol. 180, 129–139 (2014).
Dunn, W. B. et al. Procedures for large-scale metabolic profiling of serum and plasma using gas chromatography and liquid chromatography coupled to mass spectrometry. Nat. Protoc. 6, 1060–1083 (2011).
Würtz, P. et al. Metabolic signatures of birthweight in 18 288 adolescents and adults. Int. J. Epidemiol. 45, 1539–1550 (2016).
Playdon, M. C. et al. Metabolomics analytics workflow for epidemiological research: Perspectives from the consortium of metabolomics studies (COMETS). Metabolites 9, 145 (2019).
Kuehnbaum, N. L., Kormendi, A. & Britz-McKibbin, P. Multisegment injection-capillary electrophoresis-mass spectrometry: a high-throughput platform for metabolomics with high data fidelity. Anal. Chem. 85, 10664–10669 (2013).
Nori de Macedo, A. et al. The sweat metabolome of screen-positive cystic fibrosis infants: Revealing mechanisms beyond impaired chloride transport. ACS Cent. Sci. 3, 904–913 (2017).
DiBattista, A. et al. Metabolic signatures of cystic fibrosis identified in dried blood spots for newborn screening without carrier identification. J. Proteome Res. 18, 841–854 (2019).
Saoi, M. et al. Characterization of the human skeletal muscle metabolome for elucidating the mechanisms of bicarbonate ingestion on strenuous interval exercise. Anal. Chem. 91, 4709–4718 (2019).
Souza, R. T. et al. Metabolomics applied to maternal and perinatal health: a review of new frontiers with a translation potential. Clinics 74, 1–12 (2019).
Kadakia, R. et al. Maternal metabolites during pregnancy are associated with newborn outcomes and hyperinsulinaemia across ancestries. Diabetologia 62, 473–484 (2019).
Blaženović, I., Kind, T., Ji, J. & Fiehn, O. Software tools and approaches for compound identification of LC-MS/MS data in metabolomics. Metabolites 8, 31 (2018).
Southam, A. D., Weber, R. J. M., Engel, J., Jones, M. R. & Viant, M. R. A complete workflow for high-resolution spectral-stitching nanoelectrospray direct-infusion mass-spectrometry-based metabolomics and lipidomics. Nat. Protoc. 12, 255–273 (2017).
Fuhrer, T. & Zamboni, N. High-throughput discovery metabolomics. Curr. Opin. Biotechnol. 31, 73–78 (2015).
Levy, A. J. et al. Recent progress in metabolomics using ion mobility-mass spectrometry. TrAC Trends Anal. Chem 116, 274–281 (2019).
Würtz, P. et al. Quantitative serum nuclear magnetic resonance metabolomics in large-scale epidemiology: a primer on -omic technologies. Am. J. Epidemiol. 186, 1084–1096 (2017).
Wishart, D. S. NMR metabolomics: a look ahead. J. Magn. Reson. 306, 155–161 (2019).
Yu, B. et al. The consortium of metabolomics studies (COMETS): metabolomics in 47 prospective cohort studies. Am. J. Epidemiol. 188, 991–1012 (2019).
Miggiels, P., Wouters, B., van Westen, G. J. P., Dubbelman, A.-C. & Hankemeier, T. Novel technologies for metabolomics: more for less. Trends Anal. Chem. 120, 115323 (2019).
Büscher, J. M., Czernik, D., Ewald, J. C., Sauer, U. & Zamboni, N. Cross-platform comparison of methods for quantitative metabolomics of primary metabolism. Anal. Chem. 81, 2135–2143 (2009).
Soga, T. et al. Metabolomic profiling of anionic metabolites by capillary electrophoresis mass spectrometry. Anal. Chem. 81, 6165–6174 (2009).
Boizard, F. et al. A capillary electrophoresis coupled to mass spectrometry pipeline for long term comparable assessment of the urinary metabolome. Sci. Rep. 6, 1–17 (2016).
Harada, S. et al. Metabolomic profiling reveals novel biomarkers of alcohol intake and alcohol-induced liver injury in community-dwelling men. Environ. Health Prev. Med. 21, 18–26 (2016).
Fukai, K. et al. Metabolic profiling of total physical activity and sedentary behavior in community dwelling men. PLoS ONE 11, 1–14 (2016).
Belczacka, I. et al. Urinary CE-MS peptide marker pattern for detection of solid tumors. Sci. Rep. 8, 1–11 (2018).
Wild, J., Shanmuganathan, M., Hayashi, M., Potter, M. & Britz-McKibbin, P. Metabolomics for improved treatment monitoring of phenylketonuria: Urinary biomarkers for non-invasive assessment of dietary adherence and nutritional deficiencies. Analyst 144, 6595–6608 (2019).
DiBattista, A. et al. Temporal signal pattern recognition in mass spectrometry: a method for rapid identification and accurate quantification of biomarkers for inborn errors of metabolism with quality assurance. Anal. Chem. 89, 8112–8121 (2017).
Azab, S., Ly, R. & Britz-McKibbin, P. Robust method for high-throughput screening of fatty acids by multisegment injection-nonaqueous capillary electrophoresis-mass spectrometry with stringent quality control. Anal. Chem. 91, 2329–2336 (2019).
Harada, S. et al. Reliability of plasma polar metabolite concentrations in a large-scale cohort study using capillary electrophoresis-mass spectrometry. PLoS ONE 13, 1–16 (2018).
Mahieu, N. G. & Patti, G. J. Systems-level annotation of a metabolomics data set reduces 25 000 features to fewer than 1000 unique metabolites. Anal. Chem. 89, 10397–10406 (2017).
Yamamoto, M., Pinto-Sanchez, M. I., Bercik, P. & Britz-McKibbin, P. Metabolomics reveals elevated urinary excretion of collagen degradation and epithelial cell turnover products in irritable bowel syndrome patients. Metabolomics 15, 1–18 (2019).
Sumner, L. W. et al. Proposed minimum reporting standards for chemical analysis: Chemical Analysis Working Group (CAWG) Metabolomics Standards Initiative (MSI). Metabolomics 3, 211–221 (2007).
De Souza, R. J. et al. The influence of maternal and infant nutrition on cardiometabolic traits: Novel findings and future research directions from four Canadian birth cohort studies. Proc. Nutr. Soc. 78, 351–361 (2019).
Wahi, G. et al. Aboriginal birth cohort (ABC): a prospective cohort study of early life determinants of adiposity and associated risk factors among Aboriginal people in Canada. BMC Public Health 13, 608 (2013).
Subbarao, P. et al. The Canadian Healthy Infant Longitudinal Development (CHILD) study: examining developmental origins of allergy and asthma. Thorax 70, 998–1000 (2015).
Morrison, K. M. et al. The Family Atherosclerosis Monitoring In earLY life (FAMILY) study. Rationale, design, and baseline data of a study examining the early determinants of atherosclerosis. Am. Heart J. 158, 533–539 (2009).
Anand, S. S. et al. Rationale and design of South Asian Birth Cohort (START): A Canada-India collaborative study. BMC Public Health 13, 1 (2013).
De Souza, R. J. et al. Harmonization of food-frequency questionnaires and dietary pattern analysis in 4 ethnically diverse birth cohorts. J. Nutr. 146, 2343–2350 (2016).
Wellington, N. et al. Metabolic trajectories following contrasting Prudent and Western diets from food provisions: identifying robust biomarkers of short-term changes in habitual diet. Nutrients 11, 2407 (2019).
Al-Ibrahim, A. A. & Jackson, R. T. Healthy eating index versus alternate healthy index in relation to diabetes status and health markers in U.S. adults: NHANES 2007-2010. Nutr. J. 18, 26 (2019).
Broadhurst, D. et al. Guidelines and considerations for the use of system suitability and quality control samples in mass spectrometry assays applied in untargeted clinical metabolomic studies. Metabolomics 14, 48 (2018).
Kamleh, M. A., Ebbels, T. M. D., Spagou, K., Masson, P. & Want, E. J. Optimizing the use of quality control samples for signal drift correction in large-scale urine metabolic profiling studies. Anal. Chem. 84, 2670–2677 (2012).
Lewis, M. R. et al. Development and application of ultra-performance liquid chromatography-TOF MS for precision large scale urinary metabolic phenotyping. Anal. Chem. 88, 9004–9013 (2016).
Wehrens, R. et al. Improved batch correction in untargeted MS-based metabolomics. Metabolomics 12, 88 (2016).
De Souza R. J. et al. Maternal diet and the serum metabolome in pregnancy: robust dietary biomarkers generalizable to a multiethnic birth cohort. Curr. Dev. Nutr. https://doi.org/10.1093/cdn/nzaa144 (2020).
Chong, J. et al. MetaboAnalyst 4.0: towards more transparent and integrative metabolomics analysis. Nucleic Acids Res. 46, W486–W494 (2018).
Carayol, M. et al. Reliability of serum metabolites over a two-year period: A targeted metabolomic approach in fasting and non-fasting samples from EPIC. PLoS ONE 10, 1–10 (2015).
Braekke, K. et al. Asymmetric dimethylarginine in the maternal and fetal circulation in preeclampsia. Pediatr. Res. 66, 411–415 (2009).
Chong, Y. et al. Ethnic differences translate to inadequacy of high-risk screening for gestational diabetes mellitus in an Asian population: a cohort study. BMC Pregnancy Childbirth 14, 345 (2014).
Yu, Z. et al. Differences between human plasma and serum metabolite profiles. PLoS ONE 6, e21230 (2011).
Lindsay, K. L. et al. Longitudinal metabolomic profiling of amino acids and lipids across healthy pregnancy. PLoS ONE 10, 1–19 (2015).
Stevens, V. L., Hoover, E., Wang, Y. & Zanetti, K. A. Pre-analytical factors that affect metabolite stability in human urine, plasma, and serum: a review. Metabolites 9, 156 (2019).
Saoi, M. et al. Metabolic perturbations from step reduction in older persons at risk for sarcopenia: plasma biomarkers of abrupt changes in physical activity. Metabolites. 9, 134 (2019).
Azab, S. M. et al. Serum non-esterified fatty acids have utility as dietary biomarkers of fat intake from fish, fish oil and dairy in women. J. Lipid Res. 63, 933–944 (2020).
Sasaki, K. et al. Metabolomics platform with capillary electrophoresis coupled with high-resolution mass spectrometry for plasma analysis. Anal. Chem. 91, 1295–1301 (2019).
Höcker, O. et al. Enrichment-free analysis of anionic micropollutants in the sub-ppb range in drinking water by capillary electrophoresis-high resolution mass spectrometry. Anal. Bioanal. Chem. 412, 4857–4865 (2020).
Azab, S. M. et al. Serum metabolic signatures of chronic limb-threatening ischemia in patients with peripheral artery disease. J. Clin. Med. 9, 1877 (2020).

The maternal serum metabolome by multisegment injection-capillary electrophoresis-mass spectrometry: a high-throughput platform and standardized data workflow for large-scale epidemiological studies

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