語系:
繁體中文
English
說明(常見問題)
回圖書館首頁
手機版館藏查詢
登入
回首頁
到查詢結果
[ null ]
切換:
標籤
|
MARC模式
|
ISBD
Adverse Response to Exercise: Mouse ...
~
McMullan, Rachel Cara.
FindBook
Google Book
Amazon
博客來
Adverse Response to Exercise: Mouse Model Development.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Adverse Response to Exercise: Mouse Model Development./
作者:
McMullan, Rachel Cara.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2018,
面頁冊數:
161 p.
附註:
Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B.
Contained By:
Dissertation Abstracts International79-10B(E).
標題:
Genetics. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10745945
ISBN:
9780438062771
Adverse Response to Exercise: Mouse Model Development.
McMullan, Rachel Cara.
Adverse Response to Exercise: Mouse Model Development.
- Ann Arbor : ProQuest Dissertations & Theses, 2018 - 161 p.
Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B.
Thesis (Ph.D.)--The University of North Carolina at Chapel Hill, 2018.
This item is not available from ProQuest Dissertations & Theses.
Obesity is extremely prevalent in the U.S., associated with numerous chronic diseases and an economic burden on the health care system. Exercise results in beneficial health outcomes, protects against a variety of chronic diseases and can reduce body mass and fat. U.S. exercise guidelines recommend identical exercise programs for everyone regardless of age, sex or genetic background. Furthermore, individual variation in responses to recommend exercise programs occurs across a variety of responses with some individuals experiencing adverse responses, including fat gain. In order to establish effective exercise guidelines, dissection of underlying physiological mechanisms and driving factors as well as the evaluation of potential interventions needs to occur. Experimental mouse models of exercise-induced adverse outcomes will be valuable in identification of mechanisms and evaluation of interventions while overcoming limitations in human studies. Several studies have identified individual mice exhibiting adverse fat gain following exercise, but no systematic effort has been conducted to identify and characterize models of adverse response. Strains from the Collaborative Cross (CC) genetic reference population were used due to its high levels of genetic variation, its reproducible nature, and the observation that the CC is a rich source of novel disease models, to assess the impact genetic background has on exercise responses. This thesis work aimed to identify and develop mouse models of exercise-induced adverse body composition response and to determine the effect of different factors, including age, sex, exercise program and genetic background, on body composition response. In an initial study, we assessed body composition responses to voluntary exercise in aged females from 42 CC strains. We observed significant variation in body composition responses due to genetic background. Some strains, in particular CC027/GeniUnc, had an adverse body composition response. An additional study identified CC002/Unc as a model of voluntary exercise-induced adverse body composition response in old females. Unlike the initial screen, this study took advantage of age matched females with a case -- control experimental design to account for body composition changes due to aging. Additionally, we measured body composition and metabolic responses to different forced exercise programs (HIIT and MICT) in a subset of four CC strains. We found body composition responses to different exercise programs varied by sex and further by genetic background. Overall, females had more beneficial body composition responses to HIIT than MICT programs. Across these studies we have demonstrated that genetic background has a significant effect on responses to exercise and further genetic background interacts with other factors to influence these responses. Additionally, we evaluated body composition and metabolism responses to long-term exercise during aging in C57BL/6J mice. We observed body mass and composition response trajectories to long-term exercise vary dependent on sex. Overall, exercise was protective against age related changes in body mass and composition.
ISBN: 9780438062771Subjects--Topical Terms:
530508
Genetics.
Adverse Response to Exercise: Mouse Model Development.
LDR
:04504nmm a2200325 4500
001
2204410
005
20190716100705.5
008
201008s2018 ||||||||||||||||| ||eng d
020
$a
9780438062771
035
$a
(MiAaPQ)AAI10745945
035
$a
(MiAaPQ)unc:17510
035
$a
AAI10745945
040
$a
MiAaPQ
$c
MiAaPQ
100
1
$a
McMullan, Rachel Cara.
$3
3431266
245
1 0
$a
Adverse Response to Exercise: Mouse Model Development.
260
1
$a
Ann Arbor :
$b
ProQuest Dissertations & Theses,
$c
2018
300
$a
161 p.
500
$a
Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B.
500
$a
Adviser: Fernando Pardo Manuel de Villena.
502
$a
Thesis (Ph.D.)--The University of North Carolina at Chapel Hill, 2018.
506
$a
This item is not available from ProQuest Dissertations & Theses.
520
$a
Obesity is extremely prevalent in the U.S., associated with numerous chronic diseases and an economic burden on the health care system. Exercise results in beneficial health outcomes, protects against a variety of chronic diseases and can reduce body mass and fat. U.S. exercise guidelines recommend identical exercise programs for everyone regardless of age, sex or genetic background. Furthermore, individual variation in responses to recommend exercise programs occurs across a variety of responses with some individuals experiencing adverse responses, including fat gain. In order to establish effective exercise guidelines, dissection of underlying physiological mechanisms and driving factors as well as the evaluation of potential interventions needs to occur. Experimental mouse models of exercise-induced adverse outcomes will be valuable in identification of mechanisms and evaluation of interventions while overcoming limitations in human studies. Several studies have identified individual mice exhibiting adverse fat gain following exercise, but no systematic effort has been conducted to identify and characterize models of adverse response. Strains from the Collaborative Cross (CC) genetic reference population were used due to its high levels of genetic variation, its reproducible nature, and the observation that the CC is a rich source of novel disease models, to assess the impact genetic background has on exercise responses. This thesis work aimed to identify and develop mouse models of exercise-induced adverse body composition response and to determine the effect of different factors, including age, sex, exercise program and genetic background, on body composition response. In an initial study, we assessed body composition responses to voluntary exercise in aged females from 42 CC strains. We observed significant variation in body composition responses due to genetic background. Some strains, in particular CC027/GeniUnc, had an adverse body composition response. An additional study identified CC002/Unc as a model of voluntary exercise-induced adverse body composition response in old females. Unlike the initial screen, this study took advantage of age matched females with a case -- control experimental design to account for body composition changes due to aging. Additionally, we measured body composition and metabolic responses to different forced exercise programs (HIIT and MICT) in a subset of four CC strains. We found body composition responses to different exercise programs varied by sex and further by genetic background. Overall, females had more beneficial body composition responses to HIIT than MICT programs. Across these studies we have demonstrated that genetic background has a significant effect on responses to exercise and further genetic background interacts with other factors to influence these responses. Additionally, we evaluated body composition and metabolism responses to long-term exercise during aging in C57BL/6J mice. We observed body mass and composition response trajectories to long-term exercise vary dependent on sex. Overall, exercise was protective against age related changes in body mass and composition.
520
$a
This work provides novel models for studies to determine the mechanisms behind adverse metabolic responses to exercise and enables development of more rational personalized exercise recommendations based on factors such as age, sex, and genetic background.
590
$a
School code: 0153.
650
4
$a
Genetics.
$3
530508
650
4
$a
Physiology.
$3
518431
690
$a
0369
690
$a
0719
710
2
$a
The University of North Carolina at Chapel Hill.
$b
Genetics and Molecular Biology.
$3
3173502
773
0
$t
Dissertation Abstracts International
$g
79-10B(E).
790
$a
0153
791
$a
Ph.D.
792
$a
2018
793
$a
English
856
4 0
$u
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10745945
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9380959
電子資源
11.線上閱覽_V
電子書
EB
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入
(1)帳號:一般為「身分證號」;外籍生或交換生則為「學號」。 (2)密碼:預設為帳號末四碼。
帳號
.
密碼
.
請在此電腦上記得個人資料
取消
忘記密碼? (請注意!您必須已在系統登記E-mail信箱方能使用。)