[HTML][HTML] NMR spectroscopy for metabolomics research

AH Emwas, R Roy, RT McKay, L Tenori, E Saccenti… - Metabolites, 2019‏ - mdpi.com
Over the past two decades, nuclear magnetic resonance (NMR) has emerged as one of the
three principal analytical techniques used in metabolomics (the other two being gas …

Metabolomics in diabetes and diabetic complications: insights from epidemiological studies

Q **, RCW Ma - Cells, 2021‏ - mdpi.com
The increasing prevalence of diabetes and its complications, such as cardiovascular and
kidney disease, remains a huge burden globally. Identification of biomarkers for the …

Genome-wide characterization of circulating metabolic biomarkers

MK Karjalainen, S Karthikeyan, C Oliver-Williams… - Nature, 2024‏ - nature.com
Genome-wide association analyses using high-throughput metabolomics platforms have led
to novel insights into the biology of human metabolism,,,,,–. This detailed knowledge of the …

Metabolomic profiles predict individual multidisease outcomes

T Buergel, J Steinfeldt, G Ruyoga, M Pietzner… - Nature medicine, 2022‏ - nature.com
Risk stratification is critical for the early identification of high-risk individuals and disease
prevention. Here we explored the potential of nuclear magnetic resonance (NMR) …

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

H Julkunen, A Cichońska, M Tiainen, H Koskela… - Nature …, 2023‏ - nature.com
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 …

Role of circulating polyunsaturated fatty acids on cardiovascular diseases risk: analysis using Mendelian randomization and fatty acid genetic association data from …

MC Borges, PC Haycock, J Zheng, G Hemani… - BMC medicine, 2022‏ - Springer
Background Despite early interest in the health effects of polyunsaturated fatty acids (PUFA),
there is still substantial controversy and uncertainty on the evidence linking PUFA to …

[HTML][HTML] Distinct contributions of metabolic dysfunction and genetic risk factors in the pathogenesis of non-alcoholic fatty liver disease

PK Luukkonen, S Qadri, N Ahlholm, K Porthan… - Journal of …, 2022‏ - Elsevier
Background & Aims There is substantial inter-individual variability in the risk of non-alcoholic
fatty liver disease (NAFLD). Part of which is explained by insulin resistance (IR)('MetComp') …

Metabolomic and microbiome profiling reveals personalized risk factors for coronary artery disease

Y Talmor-Barkan, N Bar, AA Shaul, N Shahaf… - Nature medicine, 2022‏ - nature.com
Complex diseases, such as coronary artery disease (CAD), are often multifactorial, caused
by multiple underlying pathological mechanisms. Here, to study the multifactorial nature of …

Data-driven identification of predictive risk biomarkers for subgroups of osteoarthritis using interpretable machine learning

RL Nielsen, T Monfeuga, RR Kitchen, L Egerod… - Nature …, 2024‏ - nature.com
Osteoarthritis (OA) is increasing in prevalence and has a severe impact on patients' lives.
However, our understanding of biomarkers driving OA risk remains limited. We developed a …

Metabolic biomarker profiling for identification of susceptibility to severe pneumonia and COVID-19 in the general population

H Julkunen, A Cichońska, PE Slagboom, P Würtz… - elife, 2021‏ - elifesciences.org
Biomarkers of low-grade inflammation have been associated with susceptibility to a severe
infectious disease course, even when measured prior to disease onset. We investigated …