Evidence map›Paper›PMID 31886287›Full record

ArticleJournal of diabetes research2019

The Effect of Lipotoxicity on Renal Dysfunction in a Nonobese Rat Model of Metabolic Syndrome: A Urinary Proteomic Approach.

Irena Markova, Denisa Miklankova, Martina Hüttl, Petr Kacer, Jelena Skibova, Jan Kucera, Radislav Sedlacek, Tereza Kacerova, Ludmila Kazdova, Hana Malinska

Abstract read
In one paragraph

Article in Journal of diabetes research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Chronic kidney disease combined with metabolic syndrome is a non-negligible risk factor.Therapeutic advances in endocrinology and metabolism · 2024
    Review
  8. Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. 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

10 authors.

Irena MarkovaCentre for Experimental Medicine, Institute for Clinical and Experimental Medicine, 14021 Prague, Czech Republic.
Denisa MiklankovaCentre for Experimental Medicine, Institute for Clinical and Experimental Medicine, 14021 Prague, Czech Republic.
Martina HüttlCentre for Experimental Medicine, Institute for Clinical and Experimental Medicine, 14021 Prague, Czech Republic.
Petr KacerCzech University of Life Sciences, 16500 Prague, Czech Republic.
Jelena SkibovaCentre for Experimental Medicine, Institute for Clinical and Experimental Medicine, 14021 Prague, Czech Republic.
Jan KuceraCzech Centre for Phenogenomics, Institute of Molecular Genetics of the Czech Academy of Sciences, 25250 Vestec, Czech Republic.
Radislav SedlacekCzech Centre for Phenogenomics, Institute of Molecular Genetics of the Czech Academy of Sciences, 25250 Vestec, Czech Republic.
Tereza KacerovaDepartment of Chemistry, University College London, London WC1H 0AJ, UK.
Ludmila KazdovaCentre for Experimental Medicine, Institute for Clinical and Experimental Medicine, 14021 Prague, Czech Republic.
Hana MalinskaCentre for Experimental Medicine, Institute for Clinical and Experimental Medicine, 14021 Prague, Czech Republic.ORCID https://orcid.org/0000-0002-9076-3399

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe development of metabolic syndrome-associated renal dysfunction is exacerbated by a number of factors including dyslipidemia, ectopic deposition of lipids and their toxic metabolites, impairment of lipid metabolism, and insulin resistance. Renal dysfunction is also affected by the production of proinflammatory and profibrotic factors secreted from adipose tissue, which can in turn directly impair kidney cells and potentiate insulin resistance. In this study, we investigated the manifestation of renal lipid accumulation and its effect on renal dysfunction in a model of metabolic syndrome-the hereditary hypertriglyceridemic rat (HHTg)-by assessing microalbuminuria and targeted urinary proteomics. Male Wistar control rats and HHTg rats were fed a standard diet and observed over the course of ageing at 3, 12, and 20 months of age.

resultsChronically elevated levels of triglycerides in HHTg rats were associated with increased levels of NEFA during OGTT and over a period of 24 hours (+80%,

conclusionsOur results confirm dyslipidemia and ectopic lipid accumulation to be key contributors in the development of metabolic syndrome-associated renal dysfunction. Assessing urinary secretion of proinflammatory cytokines and epidermal growth factor can help in detecting early development of metabolic syndrome-associated renal dysfunction.

Indexed as

ProteomicsAlbuminuriaAnimalsBiomarkersCytokinesDisease Models, AnimalEarly DiagnosisEpidermal Growth FactorHypertriglyceridemiaInflammation MediatorsKidney DiseasesLipidsMaleMetabolic SyndromePredictive Value of TestsRats, TransgenicBiomarkersCytokinesEpidermal Growth FactorInflammation MediatorsLipids

Identifiers

PMID31886287
PMCPMC6925916

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.