Evidence map›Paper›PMID 33923085›Full record

ArticleNutrients2021

Hepatic Transcriptome Profiling Reveals Lack of

Kristýna Junková, Lukáš F Mirchi, Blanka Chylíková, Michaela Janků, Jan Šilhavý, Martina Hüttl, Irena Marková, Denisa Miklánková, Josef Včelák, Hana Malínská and 3 more

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
5.6field-weighted citation impact, top 3% 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

9 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
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  4. Involvement ofFrontiers in cell and developmental biology · 2025
    Review
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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

13 authors at 4 institutions in 1 country.

Kristýna JunkováInstitute of Biology and Medical Genetics, First Faculty of Medicine, Charles University and General University Hospital, 128 00 Prague, Czech Republic.
Lukáš F MirchiInstitute of Biology and Medical Genetics, First Faculty of Medicine, Charles University and General University Hospital, 128 00 Prague, Czech Republic.
Blanka ChylíkováInstitute of Biology and Medical Genetics, First Faculty of Medicine, Charles University and General University Hospital, 128 00 Prague, Czech Republic.
Michaela JankůInstitute of Biology and Medical Genetics, First Faculty of Medicine, Charles University and General University Hospital, 128 00 Prague, Czech Republic.
Jan ŠilhavýDepartment of Genetics of Model Diseases, Institute of Physiology, Czech Academy of Sciences, 142 20 Prague, Czech Republic.
Martina HüttlInstitute for Clinical and Experimental Medicine, 140 21 Prague, Czech Republic.
Irena MarkováInstitute for Clinical and Experimental Medicine, 140 21 Prague, Czech Republic.ORCID 0000-0002-4331-7636
Denisa MiklánkováInstitute for Clinical and Experimental Medicine, 140 21 Prague, Czech Republic.
Josef VčelákInstitute of Endocrinology, 116 94 Prague, Czech Republic.
Hana MalínskáInstitute for Clinical and Experimental Medicine, 140 21 Prague, Czech Republic.ORCID 0000-0002-9076-3399
Michal PravenecInstitute of Biology and Medical Genetics, First Faculty of Medicine, Charles University and General University Hospital, 128 00 Prague, Czech Republic.
Ondřej ŠedaInstitute of Biology and Medical Genetics, First Faculty of Medicine, Charles University and General University Hospital, 128 00 Prague, Czech Republic.ORCID 0000-0001-8498-5895
František LiškaInstitute of Biology and Medical Genetics, First Faculty of Medicine, Charles University and General University Hospital, 128 00 Prague, Czech Republic.ORCID 0000-0002-9588-806X
Charles University · CZInstitute of Clinical and Experimental Medicine · CZCzech Academy of Sciences · CZInstitute of Endocrinology · CZ

Funding

Charles University Student Scientific Research (SVV) 260516Grantová Agentura, Univerzita Karlova 36317Ministerstvo Zdravotnictví Ceské Republiky 64165
6 · The paper itself

Abstract

Metabolic syndrome (MetS) is an important cause of worldwide morbidity and mortality. Its complex pathogenesis includes, on the one hand, sedentary lifestyle and high caloric intake, and, on the other hand, there is a clear genetic predisposition. PD (Polydactylous rat) is an animal model of hypertriglyceridemia, insulin resistance, and obesity. To unravel the genetic and pathophysiologic background of this phenotype, we compared morphometric and metabolic parameters as well as liver transcriptomes among PD, spontaneously hypertensive rat, and Brown Norway (BN) strains fed a high-fat diet (HFD). After 4 weeks of HFD, PD rats displayed marked hypertriglyceridemia but without the expected hepatic steatosis. Moreover, the PD strain showed significant weight gain, including increased weight of retroperitoneal and epididymal fat pads, and impaired glucose tolerance. In the liver transcriptome, we found 5480 differentially expressed genes, which were enriched for pathways involved in fatty acid beta and omega oxidation, glucocorticoid metabolism, oxidative stress, complement activation, triacylglycerol and lipid droplets synthesis, focal adhesion, prostaglandin synthesis, interferon signaling, and tricarboxylic acid cycle pathways. Interestingly, the PD strain, contrary to SHR and BN rats, did not express the

Indexed as

AnimalsCoenzyme A LigasesDiet, High-FatDisease Models, AnimalGene ExpressionGene Expression ProfilingHypertriglyceridemiaIntra-Abdominal FatLiverPolydactylyRatsRats, Inbred SHRRats, WistarAcsm3 protein, ratCoenzyme A LigasesAcsm3high-fat diethypertriglyceridemiainsulin resistanceliver transcriptomemetabolic syndromepolydactylous ratspontaneously hypertensive rat

Identifiers

PMID33923085
PMCPMC8147112
OpenAlexW3159120482

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.