Circulating metabolic biomarkers of renal function in diabetic and non-diabetic populations. Issue 1 (December 2018)
- Record Type:
- Journal Article
- Title:
- Circulating metabolic biomarkers of renal function in diabetic and non-diabetic populations. Issue 1 (December 2018)
- Main Title:
- Circulating metabolic biomarkers of renal function in diabetic and non-diabetic populations
- Authors:
- Barrios, Clara
Zierer, Jonas
Würtz, Peter
Haller, Toomas
Metspalu, Andres
Gieger, Christian
Thorand, Barbara
Meisinger, Christa
Waldenberger, Melanie
Raitakari, Olli
Lehtimäki, Terho
Otero, Sol
Rodríguez, Eva
Pedro-Botet, Juan
Kähönen, Mika
Ala-Korpela, Mika
Kastenmüller, Gabi
Spector, Tim
Pascual, Julio
Menni, Cristina - Abstract:
- Abstract Using targeted NMR spectroscopy of 227 fasting serum metabolic traits, we searched for novel metabolic signatures of renal function in 926 type 2 diabetics (T2D) and 4838 non-diabetic individuals from four independent cohorts. We furthermore investigated longitudinal changes of metabolic measures and renal function and associations with other T2D microvascular complications. 142 traits correlated with glomerular filtration rate (eGFR) after adjusting for confounders and multiple testing: 59 in diabetics, 109 in non-diabetics with 26 overlapping. The amino acids glycine and phenylalanine and the energy metabolites citrate and glycerol were negatively associated with eGFR in all the cohorts, while alanine, valine and pyruvate depicted opposite association in diabetics (positive) and non-diabetics (negative). Moreover, in all cohorts, the triglyceride content of different lipoprotein subclasses showed a negative association with eGFR, while cholesterol, cholesterol esters (CE), and phospholipids in HDL were associated with better renal function. In contrast, phospholipids and CEs in LDL showed positive associations with eGFR only in T2D, while phospholipid content in HDL was positively associated with eGFR both cross-sectionally and longitudinally only in non-diabetics. In conclusion, we provide a wide list of kidney function–associated metabolic traits and identified novel metabolic differences between diabetic and non-diabetic kidney disease.
- Is Part Of:
- Scientific reports. Volume 8:Issue 1(2018)
- Journal:
- Scientific reports
- Issue:
- Volume 8:Issue 1(2018)
- Issue Display:
- Volume 8, Issue 1 (2018)
- Year:
- 2018
- Volume:
- 8
- Issue:
- 1
- Issue Sort Value:
- 2018-0008-0001-0000
- Page Start:
- 1
- Page End:
- 11
- Publication Date:
- 2018-12
- Subjects:
- Natural history -- Research -- Periodicals
Biology -- Research -- Periodicals
Physical sciences -- Research -- Periodicals
Earth sciences -- Research -- Periodicals
Environmental sciences -- Research -- Periodicals
502.85 - Journal URLs:
- http://www.nature.com/ ↗
http://www.nature.com/srep/index.html ↗ - DOI:
- 10.1038/s41598-018-33507-7 ↗
- Languages:
- English
- ISSNs:
- 2045-2322
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 10715.xml