Evidence map›Paper›PMID 33546276›Full record

ArticleMetabolites2021

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 Huang, Marcela Covic, Cornelia Huth, Martina Rommel, Jonathan Adam, Sven Zukunft, Cornelia Prehn, Li Wang, Jana Nano, Markus F Scheerer and 10 more

Abstract read
In one paragraph

Article in Metabolites, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Article
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  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Research progress onFrontiers in pharmacology · 2024
    Review
  9. Article
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  14. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors.

Jialing HuangResearch Unit of Molecular Epidemiology, Helmholtz Zentrum München, 85764 Neuherberg, Germany.ORCID 0000-0001-7158-3782
Marcela CovicResearch Unit of Molecular Epidemiology, Helmholtz Zentrum München, 85764 Neuherberg, Germany.
Cornelia HuthInstitute of Epidemiology, Helmholtz Zentrum München, 85764 Neuherberg, Germany.
Martina RommelResearch Unit of Molecular Epidemiology, Helmholtz Zentrum München, 85764 Neuherberg, Germany.
Jonathan AdamResearch Unit of Molecular Epidemiology, Helmholtz Zentrum München, 85764 Neuherberg, Germany.
Sven ZukunftResearch Unit of Molecular Endocrinology and Metabolism, Helmholtz Zentrum München, 85764 Neuherberg, Germany.ORCID 0000-0002-1811-4562
Cornelia PrehnMetabolomics and Proteomics Core Facility, Helmholtz Zentrum München, 85764 Neuherberg, Germany.ORCID 0000-0002-1274-4715
Li WangResearch Unit of Molecular Epidemiology, Helmholtz Zentrum München, 85764 Neuherberg, Germany.
Jana NanoInstitute of Epidemiology, Helmholtz Zentrum München, 85764 Neuherberg, Germany.
Markus F ScheererInstitute of Experimental Genetics, Helmholtz Zentrum München, 85764 Neuherberg, Germany.
Susanne NeschenInstitute of Experimental Genetics, Helmholtz Zentrum München, 85764 Neuherberg, Germany.
Gabi KastenmüllerInstitute of Computational Biology, Helmholtz Zentrum München, 85764 Neuherberg, Germany.
Christian GiegerResearch Unit of Molecular Epidemiology, Helmholtz Zentrum München, 85764 Neuherberg, Germany.
Michael LaxyInstitute of Health Economics and Health Care Management, Helmholtz Zentrum München, 85764 Neuherberg, Germany.
Freimut SchliessProfil, 41460 Neuss, Germany.ORCID 0000-0002-8232-9971
Jerzy AdamskiResearch Unit of Molecular Endocrinology and Metabolism, Helmholtz Zentrum München, 85764 Neuherberg, Germany.ORCID 0000-0001-9259-0199
Karsten SuhreDepartment of Physiology and Biophysics, Weill Cornell Medical College in Qatar (WCMC-Q), Education City, Qatar Foundation, Doha P.O. Box 24144, Qatar.ORCID 0000-0001-9638-3912
Martin Hrabe de AngelisGerman Center for Diabetes Research (DZD), 85764 München-Neuherberg, Germany.
Annette PetersInstitute of Epidemiology, Helmholtz Zentrum München, 85764 Neuherberg, Germany.
Rui Wang-SattlerResearch Unit of Molecular Epidemiology, Helmholtz Zentrum München, 85764 Neuherberg, Germany.ORCID 0000-0002-8794-8229

Funding

Horizon 2020 19076 & 20679 iPDM-GO
6 · The paper itself

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.

Indexed as

chronic kidney diseasediabetic nephropathyhigh-fat-dietleptin receptor-deficient mouseliverlungsmetabolomicsprediabetes and type 2 diabetesreduced kidney function

Identifiers

PMID33546276
PMCPMC7913334

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.