Serum metabolite concentrations and decreased GFR in the general population

Oemer Necmi Goek, Angela Döring, Christian Gieger, Margit Heier, Wolfgang Koenig, Cornelia Prehn, Werner Römisch-Margl, Rui Wang-Sattler, Thomas Illig, Karsten Suhre, Peggy Sekula, Guangju Zhai, Jerzy Adamski, Anna Köttgen, Christa Meisinger

Research output: Contribution to journalArticle

62 Citations (Scopus)

Abstract

Background: Metabolites such as creatinine and urea are established kidney function markers. High-throughput metabolomic studies have not been reported in large general population samples spanning normal kidney function and chronic kidney disease (CKD). Study Design: Cross-sectional observational studies of the general population. Setting & Participants: 2 independent samples: KORA F4 (discovery sample, n = 3,011) and TwinsUK (validation sample, n = 984). Exposure Factors: 151 serum metabolites, quantified by targeted mass spectrometry. Outcomes & Measurements: Metabolites and their 22,650 ratios were analyzed by multivariable-adjusted linear regression for their association with glomerular filtration rate (eGFR), estimated separately from creatinine and cystatin C levels by CKD-EPI (CKD Epidemiology Collaboration) equations. After correction for multiple testing, significant metabolites (P < 3.3 × 10 -4 for single metabolites; P < 2.2 × 10 -6 for ratios) were meta-analyzed with independent data from the TwinsUK Study. Results: Replicated associations with eGFR were observed for 22 metabolites and 516 metabolite ratios. Pooled P values ranged from 7.1 × 10 -7 to 1.8 × 10 -69 for the replicated single metabolites. Acylcarnitines such as glutarylcarnitine were associated inversely with eGFR (-3.73 mL/min/1.73 m 2 per standard deviation [SD] increase, pooled P = 1.8 × 10 -69). The replicated ratio with the strongest association was the ratio of serine to glutarylcarnitine (P = 3.6 × 10 -81). Almost all replicated phenotypes associated with decreased eGFR (<60 mL/min/1.73 m 2; n = 172 cases) in KORA F4: per 1-SD increment, ORs ranged from 0.29-2.06. Across categories of a metabolic score consisting of 3 uncorrelated metabolites, the prevalence of decreased eGFR increased from 3% to 53%. Limitations: Cross-sectional study design, GFR was estimated, limited number of metabolites. Conclusions: Distinct metabolic phenotypes were reproducibly associated with eGFR in 2 separate population studies. They may provide novel insights into renal metabolite handling, improve understanding of pathophysiology, or aid in the diagnosis of kidney disease. Longitudinal studies are needed to clarify whether changes in metabolic phenotypes precede or result from kidney function impairment.

Original languageEnglish
Pages (from-to)197-206
Number of pages10
JournalAmerican Journal of Kidney Diseases
Volume60
Issue number2
DOIs
Publication statusPublished - Aug 2012
Externally publishedYes

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Kidney
Serum
Phenotype
Chronic Renal Insufficiency
Population
Creatinine
Cross-Sectional Studies
Cystatin C
Metabolomics
Kidney Diseases
Glomerular Filtration Rate
Serine
Observational Studies
Longitudinal Studies
Urea
Linear Models
Mass Spectrometry
Epidemiology
glutarylcarnitine
acylcarnitine

Keywords

  • chronic kidney disease
  • estimated glomerular filtration rate
  • metabolites
  • Metabolomics

ASJC Scopus subject areas

  • Nephrology

Cite this

Goek, O. N., Döring, A., Gieger, C., Heier, M., Koenig, W., Prehn, C., ... Meisinger, C. (2012). Serum metabolite concentrations and decreased GFR in the general population. American Journal of Kidney Diseases, 60(2), 197-206. https://doi.org/10.1053/j.ajkd.2012.01.014

Serum metabolite concentrations and decreased GFR in the general population. / Goek, Oemer Necmi; Döring, Angela; Gieger, Christian; Heier, Margit; Koenig, Wolfgang; Prehn, Cornelia; Römisch-Margl, Werner; Wang-Sattler, Rui; Illig, Thomas; Suhre, Karsten; Sekula, Peggy; Zhai, Guangju; Adamski, Jerzy; Köttgen, Anna; Meisinger, Christa.

In: American Journal of Kidney Diseases, Vol. 60, No. 2, 08.2012, p. 197-206.

Research output: Contribution to journalArticle

Goek, ON, Döring, A, Gieger, C, Heier, M, Koenig, W, Prehn, C, Römisch-Margl, W, Wang-Sattler, R, Illig, T, Suhre, K, Sekula, P, Zhai, G, Adamski, J, Köttgen, A & Meisinger, C 2012, 'Serum metabolite concentrations and decreased GFR in the general population', American Journal of Kidney Diseases, vol. 60, no. 2, pp. 197-206. https://doi.org/10.1053/j.ajkd.2012.01.014
Goek, Oemer Necmi ; Döring, Angela ; Gieger, Christian ; Heier, Margit ; Koenig, Wolfgang ; Prehn, Cornelia ; Römisch-Margl, Werner ; Wang-Sattler, Rui ; Illig, Thomas ; Suhre, Karsten ; Sekula, Peggy ; Zhai, Guangju ; Adamski, Jerzy ; Köttgen, Anna ; Meisinger, Christa. / Serum metabolite concentrations and decreased GFR in the general population. In: American Journal of Kidney Diseases. 2012 ; Vol. 60, No. 2. pp. 197-206.
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AU - Gieger, Christian

AU - Heier, Margit

AU - Koenig, Wolfgang

AU - Prehn, Cornelia

AU - Römisch-Margl, Werner

AU - Wang-Sattler, Rui

AU - Illig, Thomas

AU - Suhre, Karsten

AU - Sekula, Peggy

AU - Zhai, Guangju

AU - Adamski, Jerzy

AU - Köttgen, Anna

AU - Meisinger, Christa

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N2 - Background: Metabolites such as creatinine and urea are established kidney function markers. High-throughput metabolomic studies have not been reported in large general population samples spanning normal kidney function and chronic kidney disease (CKD). Study Design: Cross-sectional observational studies of the general population. Setting & Participants: 2 independent samples: KORA F4 (discovery sample, n = 3,011) and TwinsUK (validation sample, n = 984). Exposure Factors: 151 serum metabolites, quantified by targeted mass spectrometry. Outcomes & Measurements: Metabolites and their 22,650 ratios were analyzed by multivariable-adjusted linear regression for their association with glomerular filtration rate (eGFR), estimated separately from creatinine and cystatin C levels by CKD-EPI (CKD Epidemiology Collaboration) equations. After correction for multiple testing, significant metabolites (P < 3.3 × 10 -4 for single metabolites; P < 2.2 × 10 -6 for ratios) were meta-analyzed with independent data from the TwinsUK Study. Results: Replicated associations with eGFR were observed for 22 metabolites and 516 metabolite ratios. Pooled P values ranged from 7.1 × 10 -7 to 1.8 × 10 -69 for the replicated single metabolites. Acylcarnitines such as glutarylcarnitine were associated inversely with eGFR (-3.73 mL/min/1.73 m 2 per standard deviation [SD] increase, pooled P = 1.8 × 10 -69). The replicated ratio with the strongest association was the ratio of serine to glutarylcarnitine (P = 3.6 × 10 -81). Almost all replicated phenotypes associated with decreased eGFR (<60 mL/min/1.73 m 2; n = 172 cases) in KORA F4: per 1-SD increment, ORs ranged from 0.29-2.06. Across categories of a metabolic score consisting of 3 uncorrelated metabolites, the prevalence of decreased eGFR increased from 3% to 53%. Limitations: Cross-sectional study design, GFR was estimated, limited number of metabolites. Conclusions: Distinct metabolic phenotypes were reproducibly associated with eGFR in 2 separate population studies. They may provide novel insights into renal metabolite handling, improve understanding of pathophysiology, or aid in the diagnosis of kidney disease. Longitudinal studies are needed to clarify whether changes in metabolic phenotypes precede or result from kidney function impairment.

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