-
Je něco špatně v tomto záznamu ?
Genetic, physiological and comparative genomic studies of hypertension and insulin resistance in the spontaneously hypertensive rat
PM. Coan, O. Hummel, A. Garcia Diaz, M. Barrier, N. Alfazema, PJ. Norsworthy, M. Pravenec, E. Petretto, N. Hübner, TJ. Aitman,
Jazyk angličtina Země Velká Británie
Typ dokumentu srovnávací studie, časopisecké články, práce podpořená grantem
NLK
Directory of Open Access Journals
od 2011
Free Medical Journals
od 2008 do Před 6 měsíci
Freely Accessible Science Journals
od 2008
PubMed Central
od 2008
Europe PubMed Central
od 2008
ProQuest Central
od 2008-01-01
Open Access Digital Library
od 2011-01-01
Health & Medicine (ProQuest)
od 2008-01-01
ROAD: Directory of Open Access Scholarly Resources
od 2008
PubMed
28130354
DOI
10.1242/dmm.026716
Knihovny.cz E-zdroje
- MeSH
- celogenomová asociační studie MeSH
- energetický metabolismus genetika MeSH
- genomika * MeSH
- homeostáza MeSH
- hypertenze genetika patofyziologie MeSH
- inzulin farmakologie MeSH
- inzulinová rezistence genetika MeSH
- játra účinky léků metabolismus MeSH
- jednonukleotidový polymorfismus genetika MeSH
- kalorimetrie MeSH
- kardiomegalie genetika patofyziologie MeSH
- kosterní svaly účinky léků metabolismus MeSH
- krevní tlak účinky léků MeSH
- lidé MeSH
- lokus kvantitativního znaku genetika MeSH
- potkani inbrední SHR MeSH
- regulace genové exprese účinky léků MeSH
- savčí chromozomy genetika MeSH
- srdeční komory účinky léků patologie MeSH
- stravovací zvyklosti účinky léků MeSH
- tělesná hmotnost účinky léků MeSH
- triglyceridy metabolismus MeSH
- velikost orgánu účinky léků MeSH
- zvířata MeSH
- Check Tag
- lidé MeSH
- zvířata MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- srovnávací studie MeSH
We previously mapped hypertension-related insulin resistance quantitative trait loci (QTLs) to rat chromosomes 4, 12 and 16 using adipocytes from F2 crosses between spontaneously hypertensive (SHR) and Wistar Kyoto (WKY) rats, and subsequently identified Cd36 as the gene underlying the chromosome 4 locus. The identity of the chromosome 12 and 16 genes remains unknown. To identify whole-body phenotypes associated with the chromosome 12 and 16 linkage regions, we generated and characterised new congenic strains, with WKY donor segments introgressed onto an SHR genetic background, for the chromosome 12 and 16 linkage regions. We found a >50% increase in insulin sensitivity in both the chromosome 12 and 16 strains. Blood pressure and left ventricular mass were reduced in the two congenic strains consistent with the congenic segments harbouring SHR genes for insulin resistance, hypertension and cardiac hypertrophy. Integrated genomic analysis, using physiological and whole-genome sequence data across 42 rat strains, identified variants within the congenic regions in Upk3bl, RGD1565131 and AABR06087018.1 that were associated with blood pressure, cardiac mass and insulin sensitivity. Quantitative trait transcript analysis across 29 recombinant inbred strains showed correlation between expression of Hspb1, Zkscan5 and Pdgfrl with adipocyte volume, systolic blood pressure and cardiac mass, respectively. Comparative genome analysis showed a marked enrichment of orthologues for human GWAS-associated genes for insulin resistance within the syntenic regions of both the chromosome 12 and 16 congenic intervals. Our study defines whole-body phenotypes associated with the SHR chromosome 12 and 16 insulin-resistance QTLs, identifies candidate genes for these SHR QTLs and finds human orthologues of rat genes in these regions that associate with related human traits. Further study of these genes in the congenic strains will lead to robust identification of the underlying genes and cellular mechanisms.
Department of Medicine Imperial College London London SW7 2AZ UK
MRC Clinical Sciences Centre Imperial College London London W12 0NN UK
Citace poskytuje Crossref.org
- 000
- 00000naa a2200000 a 4500
- 001
- bmc18016786
- 003
- CZ-PrNML
- 005
- 20180521100827.0
- 007
- ta
- 008
- 180515s2017 xxk f 000 0|eng||
- 009
- AR
- 024 7_
- $a 10.1242/dmm.026716 $2 doi
- 035 __
- $a (PubMed)28130354
- 040 __
- $a ABA008 $b cze $d ABA008 $e AACR2
- 041 0_
- $a eng
- 044 __
- $a xxk
- 100 1_
- $a Coan, Philip M $u Centre for Genomic and Experimental Medicine & Centre for Cardiovascular Science, Queen's Medical Research Institute, University of Edinburgh, Edinburgh EH4 2XU, UK p.m.coan.02@cantab.net.
- 245 10
- $a Genetic, physiological and comparative genomic studies of hypertension and insulin resistance in the spontaneously hypertensive rat / $c PM. Coan, O. Hummel, A. Garcia Diaz, M. Barrier, N. Alfazema, PJ. Norsworthy, M. Pravenec, E. Petretto, N. Hübner, TJ. Aitman,
- 520 9_
- $a We previously mapped hypertension-related insulin resistance quantitative trait loci (QTLs) to rat chromosomes 4, 12 and 16 using adipocytes from F2 crosses between spontaneously hypertensive (SHR) and Wistar Kyoto (WKY) rats, and subsequently identified Cd36 as the gene underlying the chromosome 4 locus. The identity of the chromosome 12 and 16 genes remains unknown. To identify whole-body phenotypes associated with the chromosome 12 and 16 linkage regions, we generated and characterised new congenic strains, with WKY donor segments introgressed onto an SHR genetic background, for the chromosome 12 and 16 linkage regions. We found a >50% increase in insulin sensitivity in both the chromosome 12 and 16 strains. Blood pressure and left ventricular mass were reduced in the two congenic strains consistent with the congenic segments harbouring SHR genes for insulin resistance, hypertension and cardiac hypertrophy. Integrated genomic analysis, using physiological and whole-genome sequence data across 42 rat strains, identified variants within the congenic regions in Upk3bl, RGD1565131 and AABR06087018.1 that were associated with blood pressure, cardiac mass and insulin sensitivity. Quantitative trait transcript analysis across 29 recombinant inbred strains showed correlation between expression of Hspb1, Zkscan5 and Pdgfrl with adipocyte volume, systolic blood pressure and cardiac mass, respectively. Comparative genome analysis showed a marked enrichment of orthologues for human GWAS-associated genes for insulin resistance within the syntenic regions of both the chromosome 12 and 16 congenic intervals. Our study defines whole-body phenotypes associated with the SHR chromosome 12 and 16 insulin-resistance QTLs, identifies candidate genes for these SHR QTLs and finds human orthologues of rat genes in these regions that associate with related human traits. Further study of these genes in the congenic strains will lead to robust identification of the underlying genes and cellular mechanisms.
- 650 _2
- $a zvířata $7 D000818
- 650 _2
- $a krevní tlak $x účinky léků $7 D001794
- 650 _2
- $a tělesná hmotnost $x účinky léků $7 D001835
- 650 _2
- $a kalorimetrie $7 D002151
- 650 _2
- $a kardiomegalie $x genetika $x patofyziologie $7 D006332
- 650 _2
- $a savčí chromozomy $x genetika $7 D033481
- 650 _2
- $a energetický metabolismus $x genetika $7 D004734
- 650 _2
- $a stravovací zvyklosti $x účinky léků $7 D005247
- 650 _2
- $a regulace genové exprese $x účinky léků $7 D005786
- 650 _2
- $a celogenomová asociační studie $7 D055106
- 650 12
- $a genomika $7 D023281
- 650 _2
- $a srdeční komory $x účinky léků $x patologie $7 D006352
- 650 _2
- $a homeostáza $7 D006706
- 650 _2
- $a lidé $7 D006801
- 650 _2
- $a hypertenze $x genetika $x patofyziologie $7 D006973
- 650 _2
- $a inzulin $x farmakologie $7 D007328
- 650 _2
- $a inzulinová rezistence $x genetika $7 D007333
- 650 _2
- $a játra $x účinky léků $x metabolismus $7 D008099
- 650 _2
- $a kosterní svaly $x účinky léků $x metabolismus $7 D018482
- 650 _2
- $a velikost orgánu $x účinky léků $7 D009929
- 650 _2
- $a jednonukleotidový polymorfismus $x genetika $7 D020641
- 650 _2
- $a lokus kvantitativního znaku $x genetika $7 D040641
- 650 _2
- $a potkani inbrední SHR $7 D011918
- 650 _2
- $a triglyceridy $x metabolismus $7 D014280
- 655 _2
- $a srovnávací studie $7 D003160
- 655 _2
- $a časopisecké články $7 D016428
- 655 _2
- $a práce podpořená grantem $7 D013485
- 700 1_
- $a Hummel, Oliver $u Cardiovascular and Metabolic Sciences, Max-Delbrück-Center for Molecular Medicine (MDC), 13125 Berlin, Germany.
- 700 1_
- $a Garcia Diaz, Ana $u Department of Medicine, Imperial College London, London SW7 2AZ, UK.
- 700 1_
- $a Barrier, Marjorie $u Centre for Genomic and Experimental Medicine & Centre for Cardiovascular Science, Queen's Medical Research Institute, University of Edinburgh, Edinburgh EH4 2XU, UK.
- 700 1_
- $a Alfazema, Neza $u Centre for Genomic and Experimental Medicine & Centre for Cardiovascular Science, Queen's Medical Research Institute, University of Edinburgh, Edinburgh EH4 2XU, UK.
- 700 1_
- $a Norsworthy, Penny J $u MRC Clinical Sciences Centre, Imperial College London, London W12 0NN, UK.
- 700 1_
- $a Pravenec, Michal $u Department of Model Diseases, Institute of Physiology, Czech Academy of Sciences, 142 20 Prague, Czech Republic.
- 700 1_
- $a Petretto, Enrico $u MRC Clinical Sciences Centre, Imperial College London, London W12 0NN, UK. Duke-NUS Medical School, Singapore 169857, Republic of Singapore.
- 700 1_
- $a Hübner, Norbert $u Cardiovascular and Metabolic Sciences, Max-Delbrück-Center for Molecular Medicine (MDC), 13125 Berlin, Germany. DZHK (German Centre for Cardiovascular Research), partner site, 13316 Berlin, Germany. Charité-Universitätsmedizin, 10117 Berlin, Germany.
- 700 1_
- $a Aitman, Timothy J $u Centre for Genomic and Experimental Medicine & Centre for Cardiovascular Science, Queen's Medical Research Institute, University of Edinburgh, Edinburgh EH4 2XU, UK. Department of Medicine, Imperial College London, London SW7 2AZ, UK.
- 773 0_
- $w MED00173721 $t Disease models & mechanisms $x 1754-8411 $g Roč. 10, č. 3 (2017), s. 297-306
- 856 41
- $u https://pubmed.ncbi.nlm.nih.gov/28130354 $y Pubmed
- 910 __
- $a ABA008 $b sig $c sign $y a $z 0
- 990 __
- $a 20180515 $b ABA008
- 991 __
- $a 20180521101009 $b ABA008
- 999 __
- $a ok $b bmc $g 1300410 $s 1013626
- BAS __
- $a 3
- BAS __
- $a PreBMC
- BMC __
- $a 2017 $b 10 $c 3 $d 297-306 $e 20170126 $i 1754-8411 $m Disease models & mechanisms $n Dis Model Mech $x MED00173721
- LZP __
- $a Pubmed-20180515