Investigation of Variations in the Human Urine Metabolome amongst European Populations: An Exploratory Search for Biomarkers of People at Risk-of-Poverty

Alessia Trimigno; Bekzod Khakimov; Francesco Savorani; Leonardo Tenori; Vaiva Hendrixson; Alminas Čivilis; Marija Glibetic; Mirjana Gurinovic; Saara Pentikäinen; Janne Sallinen; Sara Garduno Diaz; Francesca Pasqui; Santosh Khokhar; Claudio Luchinat; Alessandra Bordoni; Francesco Capozzi; Søren Balling Engelsen

doi:10.1002/mnfr.201800216

Investigation of Variations in the Human Urine Metabolome amongst European Populations: An Exploratory Search for Biomarkers of People at Risk-of-Poverty

Alessia Trimigno
, Bekzod Khakimov
, Francesco Savorani
, Leonardo Tenori
, Vaiva Hendrixson
, Alminas Čivilis
, Marija Glibetic
, Mirjana Gurinovic
, Saara Pentikäinen
, Janne Sallinen
, Sara Garduno Diaz
, Francesca Pasqui
, Santosh Khokhar
, Claudio Luchinat
, Alessandra Bordoni
, Francesco Capozzi
, Søren Balling Engelsen^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › Scientific › peer-review

12 Citations (Scopus)

Abstract

Scope: According to Eurostat 2016, approximately 119 million European citizens live at-risk-of-poverty (ROP). This subpopulation is highly diverse by ethnicity, age, and culture in the different EU states, but they all have in common a low income that could represent an increased risk of nutrient deficiencies due to poor nutritional habits. This study aims to investigate the human urine metabolome in the search of common biomarkers representing dietary deficiencies amongst European populations at ROP. Methods and results: 2732 urine samples were collected from 1391 subjects across five different European countries, including the United Kingdom, Finland, Italy, Lithuania, and Serbia, and analyzed using ¹H-NMR spectroscopy. The resulting urine metabolome data were explored according to study design factors including economic status, country, and gender. Conclusion: Partitioning of the effects derived from the study design factors using ANOVA-simultaneous component analysis (ASCA) revealed that country and gender effects were responsible for most of the systematic variation. The effect of economic status was, as expected, much weaker than country and gender, but more pronounced in Lithuania than in other countries. Citrate and hippurate were among the most powerful ROP biomarkers. The possible relationship between these markers and nutritional deficiencies amongst the ROP population is discussed.

Original language	English
Article number	1800216
Journal	Molecular Nutrition and Food Research
Volume	63
Issue number	1
Early online date	14 May 2018
DOIs	https://doi.org/10.1002/mnfr.201800216
Publication status	Published - Jan 2019
MoE publication type	Not Eligible

Funding

A.T., B.K., and F.S. contributed equally to the research and manuscript. This investigation was performed within the framework of the EC-funded project (GA N. 266331) “CHANCE–Low cost technologies and traditional ingredients for the production of affordable, nutritionally correct foods improving health in population groups at-risk-of-poverty (chancefood.eu)”. F.C., S.B.E., A.B., C.L., V.H., S.K., and M.G.L. did conception and design. F.S. and L.T. developed methodology. S.G.D., F.S., L.T., F.P., A.C., M.G.U., S.P., and J.S. performed data acquisition. A.T., B.K., F.S., and S.B.E. analyzed data. A.T., B.K., and S.B.E. interpreted results and writing. All authors read and approved the manuscript. This study was funded by the EU FP7 project CHANCE (GA N. 266331).

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 1 No Poverty

Keywords

metabolomics
NMR
nutrition
risk-of-poverty
urinary metabolome

Access to Document

10.1002/mnfr.201800216

Cite this

Trimigno, A., Khakimov, B., Savorani, F., Tenori, L., Hendrixson, V., Čivilis, A., Glibetic, M., Gurinovic, M., Pentikäinen, S., Sallinen, J., Garduno Diaz, S., Pasqui, F., Khokhar, S., Luchinat, C., Bordoni, A., Capozzi, F., & Balling Engelsen, S. (2019). Investigation of Variations in the Human Urine Metabolome amongst European Populations: An Exploratory Search for Biomarkers of People at Risk-of-Poverty. Molecular Nutrition and Food Research, 63(1), Article 1800216. https://doi.org/10.1002/mnfr.201800216

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title = "Investigation of Variations in the Human Urine Metabolome amongst European Populations: An Exploratory Search for Biomarkers of People at Risk-of-Poverty",

abstract = "Scope: According to Eurostat 2016, approximately 119 million European citizens live at-risk-of-poverty (ROP). This subpopulation is highly diverse by ethnicity, age, and culture in the different EU states, but they all have in common a low income that could represent an increased risk of nutrient deficiencies due to poor nutritional habits. This study aims to investigate the human urine metabolome in the search of common biomarkers representing dietary deficiencies amongst European populations at ROP. Methods and results: 2732 urine samples were collected from 1391 subjects across five different European countries, including the United Kingdom, Finland, Italy, Lithuania, and Serbia, and analyzed using 1H-NMR spectroscopy. The resulting urine metabolome data were explored according to study design factors including economic status, country, and gender. Conclusion: Partitioning of the effects derived from the study design factors using ANOVA-simultaneous component analysis (ASCA) revealed that country and gender effects were responsible for most of the systematic variation. The effect of economic status was, as expected, much weaker than country and gender, but more pronounced in Lithuania than in other countries. Citrate and hippurate were among the most powerful ROP biomarkers. The possible relationship between these markers and nutritional deficiencies amongst the ROP population is discussed.",

keywords = "metabolomics, NMR, nutrition, risk-of-poverty, urinary metabolome",

author = "Alessia Trimigno and Bekzod Khakimov and Francesco Savorani and Leonardo Tenori and Vaiva Hendrixson and Alminas {\v C}ivilis and Marija Glibetic and Mirjana Gurinovic and Saara Pentik{\"a}inen and Janne Sallinen and \{Garduno Diaz\}, Sara and Francesca Pasqui and Santosh Khokhar and Claudio Luchinat and Alessandra Bordoni and Francesco Capozzi and \{Balling Engelsen\}, S{\o}ren",

year = "2019",

month = jan,

doi = "10.1002/mnfr.201800216",

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Trimigno, A, Khakimov, B, Savorani, F, Tenori, L, Hendrixson, V, Čivilis, A, Glibetic, M, Gurinovic, M, Pentikäinen, S, Sallinen, J, Garduno Diaz, S, Pasqui, F, Khokhar, S, Luchinat, C, Bordoni, A, Capozzi, F & Balling Engelsen, S 2019, 'Investigation of Variations in the Human Urine Metabolome amongst European Populations: An Exploratory Search for Biomarkers of People at Risk-of-Poverty', Molecular Nutrition and Food Research, vol. 63, no. 1, 1800216. https://doi.org/10.1002/mnfr.201800216

Investigation of Variations in the Human Urine Metabolome amongst European Populations: An Exploratory Search for Biomarkers of People at Risk-of-Poverty. / Trimigno, Alessia; Khakimov, Bekzod; Savorani, Francesco et al.
In: Molecular Nutrition and Food Research, Vol. 63, No. 1, 1800216, 01.2019.

Research output: Contribution to journal › Article › Scientific › peer-review

TY - JOUR

T1 - Investigation of Variations in the Human Urine Metabolome amongst European Populations

T2 - An Exploratory Search for Biomarkers of People at Risk-of-Poverty

AU - Trimigno, Alessia

AU - Khakimov, Bekzod

AU - Savorani, Francesco

AU - Tenori, Leonardo

AU - Hendrixson, Vaiva

AU - Čivilis, Alminas

AU - Glibetic, Marija

AU - Gurinovic, Mirjana

AU - Pentikäinen, Saara

AU - Sallinen, Janne

AU - Garduno Diaz, Sara

AU - Pasqui, Francesca

AU - Khokhar, Santosh

AU - Luchinat, Claudio

AU - Bordoni, Alessandra

AU - Capozzi, Francesco

AU - Balling Engelsen, Søren

PY - 2019/1

Y1 - 2019/1

N2 - Scope: According to Eurostat 2016, approximately 119 million European citizens live at-risk-of-poverty (ROP). This subpopulation is highly diverse by ethnicity, age, and culture in the different EU states, but they all have in common a low income that could represent an increased risk of nutrient deficiencies due to poor nutritional habits. This study aims to investigate the human urine metabolome in the search of common biomarkers representing dietary deficiencies amongst European populations at ROP. Methods and results: 2732 urine samples were collected from 1391 subjects across five different European countries, including the United Kingdom, Finland, Italy, Lithuania, and Serbia, and analyzed using 1H-NMR spectroscopy. The resulting urine metabolome data were explored according to study design factors including economic status, country, and gender. Conclusion: Partitioning of the effects derived from the study design factors using ANOVA-simultaneous component analysis (ASCA) revealed that country and gender effects were responsible for most of the systematic variation. The effect of economic status was, as expected, much weaker than country and gender, but more pronounced in Lithuania than in other countries. Citrate and hippurate were among the most powerful ROP biomarkers. The possible relationship between these markers and nutritional deficiencies amongst the ROP population is discussed.

AB - Scope: According to Eurostat 2016, approximately 119 million European citizens live at-risk-of-poverty (ROP). This subpopulation is highly diverse by ethnicity, age, and culture in the different EU states, but they all have in common a low income that could represent an increased risk of nutrient deficiencies due to poor nutritional habits. This study aims to investigate the human urine metabolome in the search of common biomarkers representing dietary deficiencies amongst European populations at ROP. Methods and results: 2732 urine samples were collected from 1391 subjects across five different European countries, including the United Kingdom, Finland, Italy, Lithuania, and Serbia, and analyzed using 1H-NMR spectroscopy. The resulting urine metabolome data were explored according to study design factors including economic status, country, and gender. Conclusion: Partitioning of the effects derived from the study design factors using ANOVA-simultaneous component analysis (ASCA) revealed that country and gender effects were responsible for most of the systematic variation. The effect of economic status was, as expected, much weaker than country and gender, but more pronounced in Lithuania than in other countries. Citrate and hippurate were among the most powerful ROP biomarkers. The possible relationship between these markers and nutritional deficiencies amongst the ROP population is discussed.

KW - metabolomics

KW - NMR

KW - nutrition

KW - risk-of-poverty

KW - urinary metabolome

UR - https://www.scopus.com/pages/publications/85059437231

U2 - 10.1002/mnfr.201800216

DO - 10.1002/mnfr.201800216

M3 - Article

C2 - 29757492

AN - SCOPUS:85059437231

SN - 1613-4125

VL - 63

JO - Molecular Nutrition and Food Research

JF - Molecular Nutrition and Food Research

IS - 1

M1 - 1800216

ER -

Investigation of Variations in the Human Urine Metabolome amongst European Populations: An Exploratory Search for Biomarkers of People at Risk-of-Poverty

Abstract

Funding

UN SDGs

Keywords

Access to Document

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