Antti J. Kangas
A5082784196- Metabolomics and Mass Spectrometry Studies
- Genetic Associations and Epidemiology
- Liver Disease Diagnosis and Treatment
- Diet and metabolism studies
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Nutritional Studies and Diet
- Bioinformatics and Genomic Networks
- Birth, Development, and Health
- Lipid metabolism and disorders
- Fatty Acid Research and Health
- Adipose Tissue and Metabolism
- Lipoproteins and Cardiovascular Health
- Diet, Metabolism, and Disease
- Adipokines, Inflammation, and Metabolic Diseases
- Microbial Metabolic Engineering and Bioproduction
- Cancer, Lipids, and Metabolism
- Nutrition, Genetics, and Disease
- Cancer-related molecular mechanisms research
- Peroxisome Proliferator-Activated Receptors
- Genetic Mapping and Diversity in Plants and Animals
- Statistical Methods and Inference
- RNA modifications and cancer
- Alcohol Consumption and Health Effects
- Metabolism, Diabetes, and Cancer
- Health, Environment, Cognitive Aging
University of Oulu
2011-2020
Oulu University Hospital
2013-2017
University of Eastern Finland
2011-2016
University of Bristol
2015-2016
University College London
2016
Finnish Institute for Health and Welfare
2016
London School of Hygiene & Tropical Medicine
2016
University of Helsinki
2008-2015
Institute for Molecular Medicine Finland
2014-2015
Tampere University
2014
Genome-wide association studies have identified numerous loci linked with complex diseases, for which the molecular mechanisms remain largely unclear. Comprehensive profiling of circulating metabolites captures highly heritable traits, can help to uncover metabolic pathophysiology underlying established disease variants. We conduct an extended genome-wide study genetic influences on 123 traits quantified by nuclear magnetic resonance metabolomics from up 24,925 individuals and identify eight...
Background— High-throughput profiling of circulating metabolites may improve cardiovascular risk prediction over established factors. Methods and Results— We applied quantitative nuclear magnetic resonance metabolomics to identify the biomarkers for incident disease during long-term follow-up. Biomarker discovery was conducted in National Finnish FINRISK study (n=7256; 800 events). Replication incremental assessed Southall Brent Revisited (SABRE) (n=2622; 573 events) British Women’s Health...
A high-throughput proton (1H) nuclear magnetic resonance (NMR) metabonomics approach is introduced to characterise systemic metabolic phenotypes. The methodology combines two molecular windows that contain the majority of information available by 1H NMR from native serum, e.g. serum lipids, lipoprotein subclasses as well various low-molecular-weight metabolites. experimentation robotics-controlled and fully automated with a capacity about 150-180 samples in 24 h. To best our knowledge,...
Branched-chain and aromatic amino acids are associated with the risk for future type 2 diabetes; however, underlying mechanisms remain elusive. We tested whether predict insulin resistance index in healthy young adults.Circulating isoleucine, leucine, valine, phenylalanine, tyrosine, six additional were quantified 1,680 individuals from population-based Cardiovascular Risk Young Finns Study (baseline age 32 ± 5 years; 54% women). Insulin was estimated by homeostasis model assessment (HOMA)...
In this study, Würtz and colleagues conducted high-throughput profiling of blood specimens in two large population-based cohorts order to identify biomarkers for all-cause mortality enhance risk prediction. The authors found that biomarker improved prediction the short-term death from all causes above established factors. However, further investigations are needed clarify biological mechanisms utility these guide screening prevention. Please see later article Editors' Summary
Metabolite associations with insulin resistance were studied in 7,098 young Finns (age 31 ± 3 years; 52% women) to elucidate underlying metabolic pathways. Insulin was assessed by the homeostasis model (HOMA-IR) and circulating metabolites quantified high-throughput nuclear magnetic resonance spectroscopy two population-based cohorts. Associations analyzed using regression models adjusted for age, waist, standard lipids. Branched-chain aromatic amino acids, gluconeogenesis intermediates,...
The gut microbiome is a complex and metabolically active community that directly influences host phenotypes. In this study, we profile microbiota using 16S rRNA gene sequencing in 531 well-phenotyped Finnish men from the Metabolic Syndrome Men (METSIM) study. We investigate relationships with variety of factors have an impact on development metabolic cardiovascular traits. identify novel associations between fasting serum levels number metabolites, including fatty acids, amino lipids,...
Background Increased adiposity is linked with higher risk for cardiometabolic diseases. We aimed to determine what extent elevated body mass index (BMI) within the normal weight range has causal effects on detailed systemic metabolite profile in early adulthood. Methods and Findings used Mendelian randomization estimate of BMI 82 metabolic measures 12,664 adolescents young adults from four population-based cohorts Finland (mean age 26 y, 16–39 y; 51% women; mean ± standard deviation 24±4...
We investigated the association of glycemia and 43 genetic risk variants for hyperglycemia/type 2 diabetes with amino acid levels in population-based Metabolic Syndrome Men (METSIM) Study, including 9,369 nondiabetic or newly diagnosed type diabetic Finnish men. Plasma eight acids were measured proton nuclear magnetic resonance spectroscopy. Increasing fasting 2-h plasma glucose associated increasing several decreasing histidine glutamine. Alanine, leucine, isoleucine, tyrosine, glutamine...
Long-term physical inactivity seems to cause many health problems. We studied whether persistent activity compared with has a global effect on serum metabolome toward reduced cardiometabolic disease risk.Sixteen same-sex twin pairs (mean age, 60 years) were selected from cohort of the basis their >30-year discordance for activity. Persistently (≥5 active and inactive groups in 3 population-based cohorts ages, 31-52 also (1037 age- sex-matched pairs). Serum was quantified by nuclear magnetic...
Abstract Introduction Metabolite, lipid, and lipoprotein lipid profiling can provide novel insights into mechanisms underlying incident dementia Alzheimer's disease. Methods We studied eight prospective cohorts with 22,623 participants profiled by nuclear magnetic resonance or mass spectrometry metabolomics. Four were used for discovery replication undertaken in the other four to avoid false positives. For metabolites that survived replication, combined association results are presented....
Abstract Blood lipids and metabolites are markers of current health 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 lipoprotein lipids, fatty acids, small molecules such as amino ketones, glycolysis metabolites. We provide an atlas associations these to prevalence, incidence, mortality over 700 common diseases ( nightingalehealth.com/atlas ). results reveal a plethora...
Statins are first-line therapy for cardiovascular disease prevention, but their systemic effects across lipoprotein subclasses, fatty acids, and circulating metabolites remain incompletely characterized. This study sought to determine the molecular of statin on multiple metabolic pathways. Metabolic profiles based serum nuclear magnetic resonance metabolomics were quantified at 2 time points in 4 population-based cohorts from United Kingdom Finland (N = 5,590; 2.5 23.0 years follow-up)....
OBJECTIVE Metabolite predictors of deteriorating glucose tolerance may elucidate the pathogenesis type 2 diabetes. We investigated associations circulating metabolites from high-throughput profiling with fasting and postload glycemia cross-sectionally prospectively on population level. RESEARCH DESIGN AND METHODS Oral was assessed in two Finnish, population-based studies consisting 1,873 individuals (mean age 52 years, 58% women) reexamined after 6.5 years for 618 one cohorts. Metabolites...
Association testing of multiple correlated phenotypes offers better power than univariate analysis single traits. We analyzed 6,600 individuals from two population-based cohorts with both genome-wide SNP data and serum metabolomic profiles. From the observed correlation structure 130 metabolites measured by nuclear magnetic resonance, we identified 11 metabolic networks performed a multivariate association analysis. 34 genomic loci at significance, which 7 are novel. In comparison to tests,...