Publications

Selected scientific publications that our scientist have contributed to.

afekta technologies metabolomic services nutrition

Nutrition publications

Nutrition

de Mello V, Lankinen M, Lindström J, Puupponen-Pimiä R, Laaksonen D, Pihlajamäki J, Lehtonen M, Uusitupa M, Tuomilehto J, Kolehmainen M, Törrönen R, Hanhineva K (2017) Fasting serum hippuric acid is elevated after bilberry (Vaccinium myrtillus) consumption and associates with improvement of fasting glucose levels and insulin secretion in persons at high risk of developing type 2 diabetes. Molecular Nutrition and Food Research, 61: 1700019. doi: 10.1002/mnfr.201700019

Tovar J, de Mello V, Nilsson A, Johansson M, Paananen J, Lehtonen M, Hanhineva K, Björck I (2016) Reduction in cardiometabolic risk factors by a multifunctional diet is mediated via several branches of metabolism as evidenced by non-targeted metabolite profiling approach. Molecular Nutrition and Food Research doi: 10.1002/mnfr.201600552

Hanhineva K (2015) Application of Metabolomics to Assess Effects of Controlled Dietary Interventions. Curr Nutr Rep, 4:365-376

Hanhineva K, Brunius C, Andersson A, Marklund M, Juvonen R, Keski-Rahkonen P, Auriola S, Landberg R (2015) Discovery of urinary biomarkers of whole grain rye intake in free-living subjects using non-targeted LC-MS metabolite profiling. Mol Nutr Food Res, 59: 2315-2325

Pekkinen J, Rosa-Sibakov N, Micard V, Keski-Rahkonen P, Lehtonen M, Poutanen K, Mykkänen H, Hanhineva K (2015) Amino acid-derived betaines dominate as urinary markers for rye bran intake in mice fed high-fat diet. Mol Nutr Food Res, 59:1550-62.

Bondia-Pons I, De la Iglesia R, Legarrea P, Martinez JA, Poutanen K, Hanhineva K, Zulet MA (2015) UPLC-QTOF/MS plasma metabolic profiling differences in obese subjects with metabolic syndrome features after two hypocaloric diets- a randomized study (RESMENA). Mol Nutr Food Res, 59:711-28.

Hanhineva K, Pedret A, Lankinen M, Schwab U, Kolehmainen M, Paananen J, De Mello V, Sola R, Lehtonen M, Poutanen K, Uusitupa M, Mykkänen H (2015): Non-targeted metabolite profiling discriminates diet-specific biomarkers for consumption of whole grains, fatty fish and bilberries – a randomized trial (Sysdimet). J Nutr, 145:7-17

Hanhineva K, Keski-Rahkonen P, Lappi J, Pekkinen J, Savolainen O, Mykkänen H, Poutanen K (2014): Benzoxazinoid-derived phenylacetamide-sulfates are among the most discriminative post-prandial plasma  markers after rye bread consumption. J Nutr 144:1016-22.

Pekkinen J, Rosa N, Savolainen O, Mykkänen H, Poutanen K, Micard V, Hanhineva K (2014) Wheat aleurone processing changes the urinary metabolite profile of mice fed a high-fat diet. Nutr. Metab. 11:1.

Hanhineva K, Barri T, Kolehmainen M, Pekkinen J, Pihlajamäki J, Vesterbacka A, Solano-Aguilar G, Mykkänen H, Dragsted LO, Urban J, Poutanen K (2013) Comparative non-targeted metabolite profiling of tissues and bio-fluids revealed unique and common metabolic differences induced by a high-fat diet in an Ossabaw pig model. J. Proteome Res. 12: 3980-3992

Pekkinen J, Olli K, Huotari A, Tiihonen K, Keski-Rahkonen P, Lehtonen M, Auriola S, Kolehmainen M, Mykkänen H, Poutanen K and Hanhineva K (2013) Betaine supplementation increases muscle shortchain acylcarnitine levels in DIO mouse model as studied by non-targeted UPLC-QTOF-MS metabolomics approach. Mol. Nutr. Food Res. 57: 1959-1968

Bondia-Pons I, Barri T, Hanhineva K,  Juntunen K, Dragsted LO, Mykkänen H, Poutanen K (2013) An UPLC-qTOF/MS metabolic profiling unveils urinary changes in humans after a whole grain rye versus refined wheat bread intervention. Mol. Nutr. Food Res. 57: 412-422.

 

afekta metabolomic services food science

Food publications

Food

Koistinen VM, Nordlund E, Katina K, Mattila I, Poutanen K, Hanhineva K, Aura AM (2017) Effect of bioprocessing on the in vitro colonic microbial metabolism of phenolic acids from rye bran fortified breads.  J Agric Food Chem, 65:1854-1864.

Koistinen VM, Katina K, Nordlund E, Poutanen K, Hanhineva K (2016) Changes in the phytochemical profile of rye bran induced by enzymatic bioprocessing and sourdough fermentation. In press, Food Research International.

Kårlund A, Hanhineva K, Lehtonen M, McDougall G, Stewart D, Karjalainen RO (2017) Non-targeted Metabolite Profiling Highlights the Potential of Strawberry Leaves as a Resource for Specific Bioactive Compounds. Journal of the Science of Food and Agriculture, 97: 2182-2190.

Kårlund A, Moor U, Stewart D, Lehtonen M, Karjalainen RO, Hanhineva K (2016) Metabolic profiling discriminates between strawberry (Fragaria × ananassa Duch.) cultivars grown in Finland or Estonia. In press, Food Research International

Savolainen O, Pekkinen J, Katina K, Poutanen K, Hanhineva K (2015) Glycosylated Benzoxazinoids are degraded during fermentation of wheat bran. J Agric Food Chem, 63:5943-9.

Koistinen V, Hanhineva K (2017) Mass spectrometry-based analysis of whole grain phytochemicals. Crit Rev Food Sci Nutr, 57:1688-1709.

Kårlund A, Hanhineva K, Lehtonen M, Karjalainen R, Sandell MA (2015) Non-Targeted Metabolite Profiles and Sensory Properties of Strawberry Cultivars Grown Both Organically and Conventionally.  J Agric Food Chem, 63:1010-9

Bondia-Pons I., Savolainen O, Torronen R, Martinez JA, Poutanen K, Hanhineva K (2014) Metabolic profiling of Goji berry extracts for discrimination of geographical origin by non-targeted liquid chromatography coupled to quadrupole time-of-flight mass spectrometry. Food Res. Int. 63: 132-138.

Savolainen O, Coda R, Suomi K, Katina K, Juvonen R, Hanhineva K, Poutanen K (2014) The role of oxygen in liquid fermentation of wheat bran. Food Chem. 153:424-431.

Hanhineva K, Rogachev I, Aura A-M, Aharoni A, Poutanen K, Mykkänen H (2012) Identification of novel lignans in the whole grain rye bran by non-targeted LC-MS metabolite profiling. Metabolomics. 8:399-409

Hanhineva K, Rogachev I, Aura A-M, Aharoni A, Poutanen K, Mykkänen H (2011) Qualitative characterization of benzoxazinoid derivatives in whole grain rye by LC-MS metabolite profiling. J. Agric. Food Chem. 59: 921-927.

Hanhineva K, Kokko H, Siljanen H, Rogachev I, Aharoni A, Kärenlampi S (2009) Stilbene synthase gene transfer caused alterations in the phenylpropanoid metabolism of transgenic strawberry (Fragaria × ananassa).  J. Exp. Bot. 60: 2093-2106.

Hanhineva K, Soininen P, Anttonen M, Kokko H, Rogachev I, Aharoni A, Laatikainen R, Kärenlampi S (2009) Characterization of phenylpropanoid glucosides from the leaves of strawberry (Fragaria × ananassa cv. Jonsok). Phytochem. Anal. 20: 353-364.

Fait A*, Hanhineva K*, Belleggia R, Rogachev I, Fernie AR, Aharoni A (2008) Reconfiguration of the achene and receptacle metabolic networks during strawberry fruit development. Plant Physiol. 148: 730-750. *Equal contribution.

Hanhineva K, Rogachev I, Kokko H, Mintz-Oron S, Venger I, Kärenlampi S, Aharoni A (2008) Non-targeted analysis of spatial metabolite composition in strawberry (Fragaria × ananassa) flowers. Phytochemistry 69: 2463-2481.

 

afekta technologies ltd metabolomic services microbiota

Microbiota publications

 Microbiota

Koistinen V, Hanhineva K (2017) Microbial and endogenous metabolic conversions of rye phytochemicals. In press, Mol Nutr Food Res, 61: DOI: 10.1002/mnfr.201600627

Hanhineva K, Aura A-M, Rogachev I, Matero S, Skov T, Aharoni A, Poutanen K, Mykkänen H (2012) In vitro simulation of colonic fermentation causes extensive metabolite turnover of rye bran phytochemicals extracts. PLos ONE, PLoS One. 2012;7(6):e39322

 

 

afekta technologies metabolomic services biomedicine

Biomedicine publications

Biomedicine

de Mello V, Paananen J, Lindström J, Lankinen MA, Shi L, Kuusisto J, Pihlajamäki J, Auriola S, Lehtonen M, Rolandsson O, Bergdahl IA, Nordin E, Ilanne-Parikka P, Keinänen-Kiukaanniemi S, Landberg R, Eriksson JG, Tuomilehto J, Hanhineva K, Uusitupa M (2017) Indolepropionic acid and novel lipid metabolites are associated with a lower risk of type 2 diabetes in the Finnish Diabetes Prevention Study. Nature Scientific Reports, doi: 10.1038/srep46337.

Puurunen J, Sulkama S, Tiira K, Araujo CL, Lehtonen M, Hanhineva K, Lohi H (2016) A non-targeted metabolite profiling pilot study suggests that tryptophan and lipid metabolisms are linked with ADHD-like behaviours in dogs. Behavioral and Brain Functions, 12:27.

Puurunen J, Tiira K, Lehtonen M, Hanhineva K, Lohi H (2016) Non-targeted metabolite profiling reveals changes in oxidative stress, tryptophan and lipid metabolisms in fearful dogs. Behav Brain Funct 12:7.

Lankinen M, Hanhineva K, Kolehmainen M, Lehtonen M, Auriola S, Mykkänen H, Poutanen K, Schwab U, Uusitupa M (2015) CMPF does not associate with impaired glucose metabolism in individuals with features of metabolic syndrome. PLoS ONE, 10:e0124379.

 

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