Literature DB >> 33546276

Validation of Candidate Phospholipid Biomarkers of Chronic Kidney Disease in Hyperglycemic Individuals and Their Organ-Specific Exploration in Leptin Receptor-Deficient db/db Mouse.

Jialing Huang1,2,3, Marcela Covic1,2,3, Cornelia Huth2, Martina Rommel1,2, Jonathan Adam1,2, Sven Zukunft4,5, Cornelia Prehn6, Li Wang1,2,7, Jana Nano2,3, Markus F Scheerer8,9, Susanne Neschen8,10, Gabi Kastenmüller11, Christian Gieger1,2,3, Michael Laxy12, Freimut Schliess13, Jerzy Adamski4,14,15, Karsten Suhre16, Martin Hrabe de Angelis3,8,15, Annette Peters2,3, Rui Wang-Sattler1,2,3.   

Abstract

Biological exploration of early biomarkers for chronic kidney disease (CKD) in (pre)diabetic individuals is crucial for personalized management of diabetes. Here, we evaluated two candidate biomarkers of incident CKD (sphingomyelin (SM) C18:1 and phosphatidylcholine diacyl (PC aa) C38:0) concerning kidney function in hyperglycemic participants of the Cooperative Health Research in the Region of Augsburg (KORA) cohort, and in two biofluids and six organs of leptin receptor-deficient (db/db) mice and wild type controls. Higher serum concentrations of SM C18:1 and PC aa C38:0 in hyperglycemic individuals were found to be associated with lower estimated glomerular filtration rate (eGFR) and higher odds of CKD. In db/db mice, both metabolites had a significantly lower concentration in urine and adipose tissue, but higher in the lungs. Additionally, db/db mice had significantly higher SM C18:1 levels in plasma and liver, and PC aa C38:0 in adrenal glands. This cross-sectional human study confirms that SM C18:1 and PC aa C38:0 associate with kidney dysfunction in pre(diabetic) individuals, and the animal study suggests a potential implication of liver, lungs, adrenal glands, and visceral fat in their systemic regulation. Our results support further validation of the two phospholipids as early biomarkers of renal disease in patients with (pre)diabetes.

Entities:  

Keywords:  chronic kidney disease; diabetic nephropathy; high-fat-diet; leptin receptor-deficient mouse; liver; lungs; metabolomics; prediabetes and type 2 diabetes; reduced kidney function

Year:  2021        PMID: 33546276      PMCID: PMC7913334          DOI: 10.3390/metabo11020089

Source DB:  PubMed          Journal:  Metabolites        ISSN: 2218-1989


  57 in total

1.  Marginal structural models and causal inference in epidemiology.

Authors:  J M Robins; M A Hernán; B Brumback
Journal:  Epidemiology       Date:  2000-09       Impact factor: 4.822

2.  Lung Dysfunction and Mortality in Patients with Chronic Kidney Disease.

Authors:  Hideyuki Mukai; Pei Ming; Bengt Lindholm; Olof Heimbürger; Peter Barany; Peter Stenvinkel; Abdul Rashid Qureshi
Journal:  Kidney Blood Press Res       Date:  2018-03-29       Impact factor: 2.687

3.  Constructing inverse probability weights for continuous exposures: a comparison of methods.

Authors:  Ashley I Naimi; Erica E M Moodie; Nathalie Auger; Jay S Kaufman
Journal:  Epidemiology       Date:  2014-03       Impact factor: 4.822

4.  Reducing plasma membrane sphingomyelin increases insulin sensitivity.

Authors:  Zhiqiang Li; Hongqi Zhang; Jing Liu; Chien-Ping Liang; Yan Li; Yue Li; Gladys Teitelman; Thomas Beyer; Hai H Bui; David A Peake; Youyan Zhang; Phillip E Sanders; Ming-Shang Kuo; Tae-Sik Park; Guoqing Cao; Xian-Cheng Jiang
Journal:  Mol Cell Biol       Date:  2011-08-15       Impact factor: 4.272

5.  Efflux of sphingomyelin, cholesterol, and phosphatidylcholine by ABCG1.

Authors:  Aya Kobayashi; Yasukazu Takanezawa; Takashi Hirata; Yuji Shimizu; Keiko Misasa; Noriyuki Kioka; Hiroyuki Arai; Kazumitsu Ueda; Michinori Matsuo
Journal:  J Lipid Res       Date:  2006-05-15       Impact factor: 5.922

6.  Obesity and weight loss result in increased adipose tissue ABCG1 expression in db/db mice.

Authors:  Kimberly A Edgel; Timothy S McMillen; Hao Wei; Nathalie Pamir; Barbara A Houston; Mark T Caldwell; Phuong-Oanh T Mai; John F Oram; Chongren Tang; Renée C Leboeuf
Journal:  Biochim Biophys Acta       Date:  2011-12-10

7.  Machine Learning Approaches Reveal Metabolic Signatures of Incident Chronic Kidney Disease in Individuals With Prediabetes and Type 2 Diabetes.

Authors:  Jialing Huang; Cornelia Huth; Marcela Covic; Martina Troll; Jonathan Adam; Sven Zukunft; Cornelia Prehn; Li Wang; Jana Nano; Markus F Scheerer; Susanne Neschen; Gabi Kastenmüller; Karsten Suhre; Michael Laxy; Freimut Schliess; Christian Gieger; Jerzy Adamski; Martin Hrabe de Angelis; Annette Peters; Rui Wang-Sattler
Journal:  Diabetes       Date:  2020-10-06       Impact factor: 9.461

8.  Genetics meets metabolomics: a genome-wide association study of metabolite profiles in human serum.

Authors:  Christian Gieger; Ludwig Geistlinger; Elisabeth Altmaier; Martin Hrabé de Angelis; Florian Kronenberg; Thomas Meitinger; Hans-Werner Mewes; H-Erich Wichmann; Klaus M Weinberger; Jerzy Adamski; Thomas Illig; Karsten Suhre
Journal:  PLoS Genet       Date:  2008-11-28       Impact factor: 5.917

9.  Serum metabolites and risk of myocardial infarction and ischemic stroke: a targeted metabolomic approach in two German prospective cohorts.

Authors:  Anna Floegel; Tilman Kühn; Disorn Sookthai; Theron Johnson; Cornelia Prehn; Ulrike Rolle-Kampczyk; Wolfgang Otto; Cornelia Weikert; Thomas Illig; Martin von Bergen; Jerzy Adamski; Heiner Boeing; Rudolf Kaaks; Tobias Pischon
Journal:  Eur J Epidemiol       Date:  2017-11-27       Impact factor: 8.082

10.  Glycerophospholipid and sphingolipid species and mortality: the Ludwigshafen Risk and Cardiovascular Health (LURIC) study.

Authors:  Alexander Sigruener; Marcus E Kleber; Susanne Heimerl; Gerhard Liebisch; Gerd Schmitz; Winfried Maerz
Journal:  PLoS One       Date:  2014-01-17       Impact factor: 3.240

View more
  2 in total

1.  TIGER: technical variation elimination for metabolomics data using ensemble learning architecture.

Authors:  Siyu Han; Jialing Huang; Francesco Foppiano; Cornelia Prehn; Jerzy Adamski; Karsten Suhre; Ying Li; Giuseppe Matullo; Freimut Schliess; Christian Gieger; Annette Peters; Rui Wang-Sattler
Journal:  Brief Bioinform       Date:  2022-03-10       Impact factor: 11.622

Review 2.  Glomerular Biomechanical Stress and Lipid Mediators during Cellular Changes Leading to Chronic Kidney Disease.

Authors:  Mukut Sharma; Vikas Singh; Ram Sharma; Arnav Koul; Ellen T McCarthy; Virginia J Savin; Trupti Joshi; Tarak Srivastava
Journal:  Biomedicines       Date:  2022-02-09
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.