Atlas of plasma NMR biomarkers for health and disease in 118,461 individuals from the UK Biobank

Heli Julkunen (), Anna Cichońska, Mika Tiainen, Harri Koskela, Kristian Nybo, Valtteri Mäkelä, Jussi Nokso-Koivisto, Kati Kristiansson, Markus Perola, Veikko Salomaa, Pekka Jousilahti, Annamari Lundqvist, Antti J. Kangas, Pasi Soininen, Jeffrey C. Barrett and Peter Würtz ()
Additional contact information
Heli Julkunen: Nightingale Health Plc
Anna Cichońska: Nightingale Health Plc
Mika Tiainen: Nightingale Health Plc
Harri Koskela: Nightingale Health Plc
Kristian Nybo: Nightingale Health Plc
Valtteri Mäkelä: Nightingale Health Plc
Jussi Nokso-Koivisto: Nightingale Health Plc
Kati Kristiansson: Finnish Institute for Health and Welfare
Markus Perola: Finnish Institute for Health and Welfare
Veikko Salomaa: Finnish Institute for Health and Welfare
Pekka Jousilahti: Finnish Institute for Health and Welfare
Annamari Lundqvist: Finnish Institute for Health and Welfare
Antti J. Kangas: Nightingale Health Plc
Pasi Soininen: Nightingale Health Plc
Jeffrey C. Barrett: Nightingale Health Plc
Peter Würtz: Nightingale Health Plc

Nature Communications, 2023, vol. 14, issue 1, 1-15

Abstract: Abstract Blood lipids and metabolites are markers of current health and future disease risk. Here, we describe plasma nuclear magnetic resonance (NMR) biomarker data for 118,461 participants in the UK Biobank. The biomarkers cover 249 measures of lipoprotein lipids, fatty acids, and small molecules such as amino acids, ketones, and glycolysis metabolites. We provide an atlas of associations of these biomarkers to prevalence, incidence, and mortality of over 700 common diseases ( nightingalehealth.com/atlas ). The results reveal a plethora of biomarker associations, including susceptibility to infectious diseases and risk of various cancers, joint disorders, and mental health outcomes, indicating that abundant circulating lipids and metabolites are risk markers beyond cardiometabolic diseases. Clustering analyses indicate similar biomarker association patterns across different disease types, suggesting latent systemic connectivity in the susceptibility to a diverse set of diseases. This work highlights the value of NMR based metabolic biomarker profiling in large biobanks for public health research and translation.

Date: 2023
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DOI: 10.1038/s41467-023-36231-7

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