Evidence map›Paper›PMID 27031336›Full record

ArticlePloS one2016

Isolation of a Genomic Region Affecting Most Components of Metabolic Syndrome in a Chromosome-16 Congenic Rat Model.

Lucie Šedová, Michal Pravenec, Drahomíra Křenová, Ludmila Kazdová, Václav Zídek, Michaela Krupková, František Liška, Vladimír Křen, Ondřej Šeda

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.0field-weighted citation impact, top 22% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Single-Gene Congenic Strain Reveals the Effect ofFrontiers in endocrinology · 2018
    Article
  5. 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

9 authors at 5 institutions in 1 country.

Lucie ŠedováInstitute of Biology and Medical Genetics, First Faculty of Medicine, Charles University and the General Teaching Hospital, Prague, Czech Republic.
Michal PravenecInstitute of Biology and Medical Genetics, First Faculty of Medicine, Charles University and the General Teaching Hospital, Prague, Czech Republic.
Drahomíra KřenováInstitute of Biology and Medical Genetics, First Faculty of Medicine, Charles University and the General Teaching Hospital, Prague, Czech Republic.
Ludmila KazdováDepartment of Metabolism and Diabetes, Institute for Clinical and Experimental Medicine, Prague, Czech Republic.
Václav ZídekInstitute of Physiology of the Czech Academy of Sciences, Prague, Czech Republic.
Michaela KrupkováInstitute of Biology and Medical Genetics, First Faculty of Medicine, Charles University and the General Teaching Hospital, Prague, Czech Republic.
František LiškaInstitute of Biology and Medical Genetics, First Faculty of Medicine, Charles University and the General Teaching Hospital, Prague, Czech Republic.
Vladimír KřenInstitute of Biology and Medical Genetics, First Faculty of Medicine, Charles University and the General Teaching Hospital, Prague, Czech Republic.
Ondřej ŠedaInstitute of Biology and Medical Genetics, First Faculty of Medicine, Charles University and the General Teaching Hospital, Prague, Czech Republic.
Charles University · CZCzech Academy of Sciences, Institute of Physiology · CZCzech Academy of Sciences · CZCzech Academy of Sciences, Institute of Molecular Genetics · CZInstitute of Clinical and Experimental Medicine · CZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolic syndrome is a highly prevalent human disease with substantial genomic and environmental components. Previous studies indicate the presence of significant genetic determinants of several features of metabolic syndrome on rat chromosome 16 (RNO16) and the syntenic regions of human genome. We derived the SHR.BN16 congenic strain by introgression of a limited RNO16 region from the Brown Norway congenic strain (BN-Lx) into the genomic background of the spontaneously hypertensive rat (SHR) strain. We compared the morphometric, metabolic, and hemodynamic profiles of adult male SHR and SHR.BN16 rats. We also compared in silico the DNA sequences for the differential segment in the BN-Lx and SHR parental strains. SHR.BN16 congenic rats had significantly lower weight, decreased concentrations of total triglycerides and cholesterol, and improved glucose tolerance compared with SHR rats. The concentrations of insulin, free fatty acids, and adiponectin were comparable between the two strains. SHR.BN16 rats had significantly lower systolic (18-28 mmHg difference) and diastolic (10-15 mmHg difference) blood pressure throughout the experiment (repeated-measures ANOVA, P < 0.001). The differential segment spans approximately 22 Mb of the telomeric part of the short arm of RNO16. The in silico analyses revealed over 1200 DNA variants between the BN-Lx and SHR genomes in the SHR.BN16 differential segment, 44 of which lead to missense mutations, and only eight of which (in Asb14, Il17rd, Itih1, Syt15, Ercc6, RGD1564958, Tmem161a, and Gatad2a genes) are predicted to be damaging to the protein product. Furthermore, a number of genes within the RNO16 differential segment associated with metabolic syndrome components in human studies showed polymorphisms between SHR and BN-Lx (including Lpl, Nrg3, Pbx4, Cilp2, and Stab1). Our novel congenic rat model demonstrates that a limited genomic region on RNO16 in the SHR significantly affects many of the features of metabolic syndrome.

Indexed as

AnimalsAnimals, CongenicChromosomes, Human, Pair 16GenomeGlucose Tolerance TestHemodynamicsHumansMaleMetabolic SyndromeMetabolomeRats, Inbred BNRats, Inbred SHR

Identifiers

PMID27031336
PMCPMC4816345
OpenAlexW2317877631

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.