Effects of smoking and smoking cessation on human serum metabolite profile

Results from the KORA cohort study

Tao Xu, Christina Holzapfel, Xiao Dong, Erik Bader, Zhonghao Yu, Cornelia Prehn, Katrin Perstorfer, Marta Jaremek, Werner Roemisch-Margl, Wolfgang Rathmann, Yixue Li, H. Erich Wichmann, Henri Wallaschofski, Karl H. Ladwig, Fabian Theis, Karsten Suhre, Jerzy Adamski, Thomas Illig, Annette Peters, Rui Wang-Sattler

Research output: Contribution to journalArticle

65 Citations (Scopus)

Abstract

Background: Metabolomics helps to identify links between environmental exposures and intermediate biomarkers of disturbed pathways. We previously reported variations in phosphatidylcholines in male smokers compared with non-smokers in a cross-sectional pilot study with a small sample size, but knowledge of the reversibility of smoking effects on metabolite profiles is limited. Here, we extend our metabolomics study with a large prospective study including female smokers and quitters.Methods: Using targeted metabolomics approach, we quantified 140 metabolite concentrations for 1,241 fasting serum samples in the population-based Cooperative Health Research in the Region of Augsburg (KORA) human cohort at two time points: baseline survey conducted between 1999 and 2001 and follow-up after seven years. Metabolite profiles were compared among groups of current smokers, former smokers and never smokers, and were further assessed for their reversibility after smoking cessation. Changes in metabolite concentrations from baseline to the follow-up were investigated in a longitudinal analysis comparing current smokers, never smokers and smoking quitters, who were current smokers at baseline but former smokers by the time of follow-up. In addition, we constructed protein-metabolite networks with smoking-related genes and metabolites.Results: We identified 21 smoking-related metabolites in the baseline investigation (18 in men and six in women, with three overlaps) enriched in amino acid and lipid pathways, which were significantly different between current smokers and never smokers. Moreover, 19 out of the 21 metabolites were found to be reversible in former smokers. In the follow-up study, 13 reversible metabolites in men were measured, of which 10 were confirmed to be reversible in male quitters. Protein-metabolite networks are proposed to explain the consistent reversibility of smoking effects on metabolites.Conclusions: We showed that smoking-related changes in human serum metabolites are reversible after smoking cessation, consistent with the known cardiovascular risk reduction. The metabolites identified may serve as potential biomarkers to evaluate the status of smoking cessation and characterize smoking-related diseases.

Original languageEnglish
Article number60
JournalBMC Medicine
Volume11
Issue number1
DOIs
Publication statusPublished - 4 Mar 2013
Externally publishedYes

Fingerprint

Smoking Cessation
Cohort Studies
Smoking
Metabolomics
Serum
Biomarkers
Environmental Exposure
Risk Reduction Behavior
Phosphatidylcholines
Sample Size
Fasting
Proteins
Cross-Sectional Studies
Prospective Studies
Lipids
Amino Acids
Health
Research
Population
Genes

Keywords

  • Metabolic network
  • Metabolomics
  • Molecular epidemiology
  • Smoking
  • Smoking cessation

ASJC Scopus subject areas

  • Medicine(all)

Cite this

Xu, T., Holzapfel, C., Dong, X., Bader, E., Yu, Z., Prehn, C., ... Wang-Sattler, R. (2013). Effects of smoking and smoking cessation on human serum metabolite profile: Results from the KORA cohort study. BMC Medicine, 11(1), [60]. https://doi.org/10.1186/1741-7015-11-60

Effects of smoking and smoking cessation on human serum metabolite profile : Results from the KORA cohort study. / Xu, Tao; Holzapfel, Christina; Dong, Xiao; Bader, Erik; Yu, Zhonghao; Prehn, Cornelia; Perstorfer, Katrin; Jaremek, Marta; Roemisch-Margl, Werner; Rathmann, Wolfgang; Li, Yixue; Wichmann, H. Erich; Wallaschofski, Henri; Ladwig, Karl H.; Theis, Fabian; Suhre, Karsten; Adamski, Jerzy; Illig, Thomas; Peters, Annette; Wang-Sattler, Rui.

In: BMC Medicine, Vol. 11, No. 1, 60, 04.03.2013.

Research output: Contribution to journalArticle

Xu, T, Holzapfel, C, Dong, X, Bader, E, Yu, Z, Prehn, C, Perstorfer, K, Jaremek, M, Roemisch-Margl, W, Rathmann, W, Li, Y, Wichmann, HE, Wallaschofski, H, Ladwig, KH, Theis, F, Suhre, K, Adamski, J, Illig, T, Peters, A & Wang-Sattler, R 2013, 'Effects of smoking and smoking cessation on human serum metabolite profile: Results from the KORA cohort study', BMC Medicine, vol. 11, no. 1, 60. https://doi.org/10.1186/1741-7015-11-60
Xu, Tao ; Holzapfel, Christina ; Dong, Xiao ; Bader, Erik ; Yu, Zhonghao ; Prehn, Cornelia ; Perstorfer, Katrin ; Jaremek, Marta ; Roemisch-Margl, Werner ; Rathmann, Wolfgang ; Li, Yixue ; Wichmann, H. Erich ; Wallaschofski, Henri ; Ladwig, Karl H. ; Theis, Fabian ; Suhre, Karsten ; Adamski, Jerzy ; Illig, Thomas ; Peters, Annette ; Wang-Sattler, Rui. / Effects of smoking and smoking cessation on human serum metabolite profile : Results from the KORA cohort study. In: BMC Medicine. 2013 ; Vol. 11, No. 1.
@article{f8575a0fa0ea4c17bed9d280b13a0d4e,
title = "Effects of smoking and smoking cessation on human serum metabolite profile: Results from the KORA cohort study",
abstract = "Background: Metabolomics helps to identify links between environmental exposures and intermediate biomarkers of disturbed pathways. We previously reported variations in phosphatidylcholines in male smokers compared with non-smokers in a cross-sectional pilot study with a small sample size, but knowledge of the reversibility of smoking effects on metabolite profiles is limited. Here, we extend our metabolomics study with a large prospective study including female smokers and quitters.Methods: Using targeted metabolomics approach, we quantified 140 metabolite concentrations for 1,241 fasting serum samples in the population-based Cooperative Health Research in the Region of Augsburg (KORA) human cohort at two time points: baseline survey conducted between 1999 and 2001 and follow-up after seven years. Metabolite profiles were compared among groups of current smokers, former smokers and never smokers, and were further assessed for their reversibility after smoking cessation. Changes in metabolite concentrations from baseline to the follow-up were investigated in a longitudinal analysis comparing current smokers, never smokers and smoking quitters, who were current smokers at baseline but former smokers by the time of follow-up. In addition, we constructed protein-metabolite networks with smoking-related genes and metabolites.Results: We identified 21 smoking-related metabolites in the baseline investigation (18 in men and six in women, with three overlaps) enriched in amino acid and lipid pathways, which were significantly different between current smokers and never smokers. Moreover, 19 out of the 21 metabolites were found to be reversible in former smokers. In the follow-up study, 13 reversible metabolites in men were measured, of which 10 were confirmed to be reversible in male quitters. Protein-metabolite networks are proposed to explain the consistent reversibility of smoking effects on metabolites.Conclusions: We showed that smoking-related changes in human serum metabolites are reversible after smoking cessation, consistent with the known cardiovascular risk reduction. The metabolites identified may serve as potential biomarkers to evaluate the status of smoking cessation and characterize smoking-related diseases.",
keywords = "Metabolic network, Metabolomics, Molecular epidemiology, Smoking, Smoking cessation",
author = "Tao Xu and Christina Holzapfel and Xiao Dong and Erik Bader and Zhonghao Yu and Cornelia Prehn and Katrin Perstorfer and Marta Jaremek and Werner Roemisch-Margl and Wolfgang Rathmann and Yixue Li and Wichmann, {H. Erich} and Henri Wallaschofski and Ladwig, {Karl H.} and Fabian Theis and Karsten Suhre and Jerzy Adamski and Thomas Illig and Annette Peters and Rui Wang-Sattler",
year = "2013",
month = "3",
day = "4",
doi = "10.1186/1741-7015-11-60",
language = "English",
volume = "11",
journal = "BMC Medicine",
issn = "1741-7015",
publisher = "BioMed Central",
number = "1",

}

TY - JOUR

T1 - Effects of smoking and smoking cessation on human serum metabolite profile

T2 - Results from the KORA cohort study

AU - Xu, Tao

AU - Holzapfel, Christina

AU - Dong, Xiao

AU - Bader, Erik

AU - Yu, Zhonghao

AU - Prehn, Cornelia

AU - Perstorfer, Katrin

AU - Jaremek, Marta

AU - Roemisch-Margl, Werner

AU - Rathmann, Wolfgang

AU - Li, Yixue

AU - Wichmann, H. Erich

AU - Wallaschofski, Henri

AU - Ladwig, Karl H.

AU - Theis, Fabian

AU - Suhre, Karsten

AU - Adamski, Jerzy

AU - Illig, Thomas

AU - Peters, Annette

AU - Wang-Sattler, Rui

PY - 2013/3/4

Y1 - 2013/3/4

N2 - Background: Metabolomics helps to identify links between environmental exposures and intermediate biomarkers of disturbed pathways. We previously reported variations in phosphatidylcholines in male smokers compared with non-smokers in a cross-sectional pilot study with a small sample size, but knowledge of the reversibility of smoking effects on metabolite profiles is limited. Here, we extend our metabolomics study with a large prospective study including female smokers and quitters.Methods: Using targeted metabolomics approach, we quantified 140 metabolite concentrations for 1,241 fasting serum samples in the population-based Cooperative Health Research in the Region of Augsburg (KORA) human cohort at two time points: baseline survey conducted between 1999 and 2001 and follow-up after seven years. Metabolite profiles were compared among groups of current smokers, former smokers and never smokers, and were further assessed for their reversibility after smoking cessation. Changes in metabolite concentrations from baseline to the follow-up were investigated in a longitudinal analysis comparing current smokers, never smokers and smoking quitters, who were current smokers at baseline but former smokers by the time of follow-up. In addition, we constructed protein-metabolite networks with smoking-related genes and metabolites.Results: We identified 21 smoking-related metabolites in the baseline investigation (18 in men and six in women, with three overlaps) enriched in amino acid and lipid pathways, which were significantly different between current smokers and never smokers. Moreover, 19 out of the 21 metabolites were found to be reversible in former smokers. In the follow-up study, 13 reversible metabolites in men were measured, of which 10 were confirmed to be reversible in male quitters. Protein-metabolite networks are proposed to explain the consistent reversibility of smoking effects on metabolites.Conclusions: We showed that smoking-related changes in human serum metabolites are reversible after smoking cessation, consistent with the known cardiovascular risk reduction. The metabolites identified may serve as potential biomarkers to evaluate the status of smoking cessation and characterize smoking-related diseases.

AB - Background: Metabolomics helps to identify links between environmental exposures and intermediate biomarkers of disturbed pathways. We previously reported variations in phosphatidylcholines in male smokers compared with non-smokers in a cross-sectional pilot study with a small sample size, but knowledge of the reversibility of smoking effects on metabolite profiles is limited. Here, we extend our metabolomics study with a large prospective study including female smokers and quitters.Methods: Using targeted metabolomics approach, we quantified 140 metabolite concentrations for 1,241 fasting serum samples in the population-based Cooperative Health Research in the Region of Augsburg (KORA) human cohort at two time points: baseline survey conducted between 1999 and 2001 and follow-up after seven years. Metabolite profiles were compared among groups of current smokers, former smokers and never smokers, and were further assessed for their reversibility after smoking cessation. Changes in metabolite concentrations from baseline to the follow-up were investigated in a longitudinal analysis comparing current smokers, never smokers and smoking quitters, who were current smokers at baseline but former smokers by the time of follow-up. In addition, we constructed protein-metabolite networks with smoking-related genes and metabolites.Results: We identified 21 smoking-related metabolites in the baseline investigation (18 in men and six in women, with three overlaps) enriched in amino acid and lipid pathways, which were significantly different between current smokers and never smokers. Moreover, 19 out of the 21 metabolites were found to be reversible in former smokers. In the follow-up study, 13 reversible metabolites in men were measured, of which 10 were confirmed to be reversible in male quitters. Protein-metabolite networks are proposed to explain the consistent reversibility of smoking effects on metabolites.Conclusions: We showed that smoking-related changes in human serum metabolites are reversible after smoking cessation, consistent with the known cardiovascular risk reduction. The metabolites identified may serve as potential biomarkers to evaluate the status of smoking cessation and characterize smoking-related diseases.

KW - Metabolic network

KW - Metabolomics

KW - Molecular epidemiology

KW - Smoking

KW - Smoking cessation

UR - http://www.scopus.com/inward/record.url?scp=84874417316&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84874417316&partnerID=8YFLogxK

U2 - 10.1186/1741-7015-11-60

DO - 10.1186/1741-7015-11-60

M3 - Article

VL - 11

JO - BMC Medicine

JF - BMC Medicine

SN - 1741-7015

IS - 1

M1 - 60

ER -