國立虎尾科技大學 |

Unraveling the Genetic Basis of Heart Failure via Systems Genetics.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	Unraveling the Genetic Basis of Heart Failure via Systems Genetics./
Author:	O'Hearn, James David.
Description:	1 online resource (189 pages)
Notes:	Source: Dissertation Abstracts International, Volume: 78-08(E), Section: B.
Contained By:	Dissertation Abstracts International78-08B(E).
Subject:	Molecular biology. -
Online resource:	click for full text (PQDT)
ISBN:	9781369653137

Unraveling the Genetic Basis of Heart Failure via Systems Genetics.
O'Hearn, James David.

Unraveling the Genetic Basis of Heart Failure via Systems Genetics. - 1 online resource (189 pages)

Source: Dissertation Abstracts International, Volume: 78-08(E), Section: B.

Thesis (Ph.D.)--University of California, Los Angeles, 2017.

Includes bibliographical references

Heart failure (HF) is the leading cause of death worldwide. It is a complex disease involving multiple aspects of pathology affected by genetic pre-disposition, the aging process, and environmental stressors. Defining the genetic basis for HF can provide keys to the underlying mechanisms and lead to a better personalized diagnosis and therapy. A systems genetics approach was developed to perform functional characterization of 107 mouse strains from a Hybrid Mouse Diversity Panel (HMDP). Three categories were designated, sensitive, intermediate, and resistant, after beta-adrenergic stimulation using isoproterenol (ISO). Extremely resistant and sensitive strains were selected for angiotensin II (AngII) and transverse aortic constriction (TAC) treatment to study the contribution of genetic background on the pathogenesis of HF. ISO, AngII, and TAC share the hypertrophic and fibrotic responses in a strain and stressor specific manner. The contractility phenotype is common for sensitive and resistant strains. Itga1, the alpha subunit of integrin receptors was found to have significant association with left ventricular hypertrophy (LVH). Together, these results suggest that genetic variants significantly contribute to the development of heart failure and the genes implicated in the specific pathological features of heart failure can be revealed via systems genetics. In addition, we have identified a number of cardiac phenotypes implicated in diastolic dysfunction. More extensive studies using highly sensitive and resistant strains from the HMDP have shown differential responses and offer support for investigating HF using this mouse model which is suffering from Heart Failure with preserved Ejection Fraction (HFpEF). These results provide validation for our approach to unraveling the effects of genetic background associated with multiple cardiac phenotypic manifestations to pathological stressors and continue to generate hypotheses and analytical understanding in heart failure.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9781369653137Subjects--Topical Terms:

583443
Molecular biology.
Index Terms--Genre/Form:

554714
Electronic books.

Unraveling the Genetic Basis of Heart Failure via Systems Genetics.
LDR:03255ntm a2200349Ki 4500 001 918780
005 20181106104110.5
006 m o u
007 cr mn||||a|a||
008 190606s2017 xx obm 000 0 eng d
020 $a 9781369653137
035 $a (MiAaPQ)AAI10259664
035 $a (MiAaPQ)ucla:15241
035 $a AAI10259664
040 $a MiAaPQ $b eng $c MiAaPQ $d NTU
100 1 $a O'Hearn, James David. $3 1193196
245 1 0 $a Unraveling the Genetic Basis of Heart Failure via Systems Genetics.
264 0 $c 2017
300 $a 1 online resource (189 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Dissertation Abstracts International, Volume: 78-08(E), Section: B.
500 $a Adviser: Yibin Wang.
502 $a Thesis (Ph.D.)--University of California, Los Angeles, 2017.
504 $a Includes bibliographical references
520 $a Heart failure (HF) is the leading cause of death worldwide. It is a complex disease involving multiple aspects of pathology affected by genetic pre-disposition, the aging process, and environmental stressors. Defining the genetic basis for HF can provide keys to the underlying mechanisms and lead to a better personalized diagnosis and therapy. A systems genetics approach was developed to perform functional characterization of 107 mouse strains from a Hybrid Mouse Diversity Panel (HMDP). Three categories were designated, sensitive, intermediate, and resistant, after beta-adrenergic stimulation using isoproterenol (ISO). Extremely resistant and sensitive strains were selected for angiotensin II (AngII) and transverse aortic constriction (TAC) treatment to study the contribution of genetic background on the pathogenesis of HF. ISO, AngII, and TAC share the hypertrophic and fibrotic responses in a strain and stressor specific manner. The contractility phenotype is common for sensitive and resistant strains. Itga1, the alpha subunit of integrin receptors was found to have significant association with left ventricular hypertrophy (LVH). Together, these results suggest that genetic variants significantly contribute to the development of heart failure and the genes implicated in the specific pathological features of heart failure can be revealed via systems genetics. In addition, we have identified a number of cardiac phenotypes implicated in diastolic dysfunction. More extensive studies using highly sensitive and resistant strains from the HMDP have shown differential responses and offer support for investigating HF using this mouse model which is suffering from Heart Failure with preserved Ejection Fraction (HFpEF). These results provide validation for our approach to unraveling the effects of genetic background associated with multiple cardiac phenotypic manifestations to pathological stressors and continue to generate hypotheses and analytical understanding in heart failure.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Molecular biology. $3 583443
650 4 $a Cellular biology. $3 1148666
650 4 $a Physiology. $3 673386
655 7 $a Electronic books. $2 local $3 554714
690 $a 0307
690 $a 0379
690 $a 0719
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a University of California, Los Angeles. $b Molec, Cell, & Integ Physiology 0568. $3 1193197
773 0 $t Dissertation Abstracts International $g 78-08B(E).
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10259664 $z click for full text (PQDT)