Evidence map›Paper›PMID 26886165›Full record

ArticleAging2016

Altered lipid metabolism in the aging kidney identified by three layered omic analysis.

Fabian Braun, Markus M Rinschen, Valerie Bartels, Peter Frommolt, Bianca Habermann, Jan H J Hoeijmakers, Björn Schumacher, Martijn E T Dollé, Roman-Ulrich Müller, Thomas Benzing and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Aging, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
5.5field-weighted citation impact, top 4% of its field
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

44 citing papers in PubMed, 69 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. ERRγ deletion in podocytes accelerates aging related kidney disease.bioRxiv : the preprint server for biology · 2026
    Article
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  8. Review
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  15. Article
  16. The lipidomes ofAging · 2023
    Article
  17. Perinatal Obesity Sensitizes for Premature Kidney Aging Signaling.International journal of molecular sciences · 2023
    Article
  18. Lipid and glucose metabolism in senescence.Frontiers in nutrition · 2023
    Review
  19. Review
  20. Article
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

12 authors at 5 institutions in 2 countries.

Fabian BraunDepartment II of Internal Medicine and Center for Molecular Medicine Cologne, University of Cologne, Cologne, Germany.
Markus M RinschenDepartment II of Internal Medicine and Center for Molecular Medicine Cologne, University of Cologne, Cologne, Germany.
Valerie BartelsDepartment II of Internal Medicine and Center for Molecular Medicine Cologne, University of Cologne, Cologne, Germany.
Peter FrommoltCologne Excellence Cluster on Cellular Stress Responses in Aging-associated Diseases (CECAD), University of Cologne, Cologne, Germany.
Bianca HabermannSystems Biology of Ageing Cologne, University of Cologne, Cologne, Germany.
Jan H J HoeijmakersDepartment of Cell Biology and Genetics, Medical Genetics Centre, Erasmus MC, University Medical Centre Rotterdam, Rotterdam, The Netherlands.
Björn SchumacherCologne Excellence Cluster on Cellular Stress Responses in Aging-associated Diseases (CECAD), University of Cologne, Cologne, Germany.
Martijn E T DolléNational Institute of Public Health and the Environment, Centre for Health Protection, Bilthoven, The Netherlands.
Roman-Ulrich MüllerDepartment II of Internal Medicine and Center for Molecular Medicine Cologne, University of Cologne, Cologne, Germany.
Thomas BenzingDepartment II of Internal Medicine and Center for Molecular Medicine Cologne, University of Cologne, Cologne, Germany.
Bernhard SchermerDepartment II of Internal Medicine and Center for Molecular Medicine Cologne, University of Cologne, Cologne, Germany.
Christine E KurschatDepartment II of Internal Medicine and Center for Molecular Medicine Cologne, University of Cologne, Cologne, Germany.
University of Cologne · DECologne Excellence Cluster on Cellular Stress Responses in Aging Associated Diseases · DEMax Planck Institute for Biology of Ageing · DEErasmus MC · NLNational Institute for Public Health and the Environment · NL

Funding

THE IMPACT OF CELLULAR DEFENSE ON THE ROLE OF Ku80 IN GENOME MAINTENANCE AND LONGP01AG017242 · NIA · UNIVERSITY OF TEXAS HLTH SCI CTR SAN ANT · PI VIJG, JAN · 1999 to 2023
$46.1M
NIA NIH HHS 1P01 AG-17242NIA NIH HHS P01 AG017242
6 · The paper itself

Abstract

Aging-associated diseases and their comorbidities affect the life of a constantly growing proportion of the population in developed countries. At the center of these comorbidities are changes of kidney structure and function as age-related chronic kidney disease predisposes to the development of cardiovascular diseases such as stroke, myocardial infarction or heart failure. To detect molecular mechanisms involved in kidney aging, we analyzed gene expression profiles of kidneys from adult and aged wild-type mice by transcriptomic, proteomic and targeted lipidomic methodologies. Interestingly, transcriptome and proteome analyses revealed differential expression of genes primarily involved in lipid metabolism and immune response. Additional lipidomic analyses uncovered significant age-related differences in the total amount of phosphatidylethanolamines, phosphatidylcholines and sphingomyelins as well as in subspecies of phosphatidylserines and ceramides with age. By integration of these datasets we identified Aldh1a1, a key enzyme in vitamin A metabolism specifically expressed in the medullary ascending limb, as one of the most prominent upregulated proteins in old kidneys. Moreover, ceramidase Asah1 was highly expressed in aged kidneys, consistent with a decrease in ceramide C16. In summary, our data suggest that changes in lipid metabolism are involved in the process of kidney aging and in the development of chronic kidney disease.

Indexed as

Lipid MetabolismAcid CeramidaseAgingAnimalsCeramidesKidneyMass SpectrometryMice, Inbred C57BLPhenotypePhospholipidsProteomicsAcid CeramidaseAsah1 protein, mouseCeramidesPhospholipidsgene expression profilinglipidomicsmicroarray analysisproteomicsrenal aging

Identifiers

PMID26886165
PMCPMC4833139
OpenAlexW2406571591

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.