Unraveling the genetics of human obesity.
Unraveling the genetics of human obesity.
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DOI：
10.1371/journal.pgen.0020188
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发表时间：
2006-12-29
期刊：
影响因子：
4.5
通讯作者：
Clément K
中科院分区：
文献类型：
--
作者：
Mutch DM;Clément K
使用现代分子生物学工具来解读肥胖状态下的生物化学和生理学紊乱已经被证明是非常宝贵的。确定下丘脑瘦素/黑皮质素途径在许多单基因肥胖症病例中至关重要，这允许进行有针对性的假设驱动的实验，并涉及新的候选人作为先前未表征的肥胖症临床病例的病因。另一方面，肥胖症的表型因个体而异，其严重程度因黑素皮质素-4受体基因的突变而异，现在人们认为这种突变的影响是受环境的影响。分子生物学方法已经揭示了以前被认为是由单个基因控制的综合征（Prader-Willi和Bardet-Biedl），相反，由多个元素调节。最后，综合分析技术的应用加上创造性的统计分析表明，遗传和环境因素之间的相互作用是目前挑战许多西方社会的常见肥胖症的原因。因此，对不同“类型”的肥胖症的更好理解不仅允许开发潜在的治疗方法，而且还提出了新的和通常意想不到的方向，以破译肥胖症的功能障碍状态。
The use of modern molecular biology tools in deciphering the perturbed biochemistry and physiology underlying the obese state has proven invaluable. Identifying the hypothalamic leptin/melanocortin pathway as critical in many cases of monogenic obesity has permitted targeted, hypothesis-driven experiments to be performed, and has implicated new candidates as causative for previously uncharacterized clinical cases of obesity. Meanwhile, the effects of mutations in the melanocortin-4 receptor gene, for which the obese phenotype varies in the degree of severity among individuals, are now thought to be influenced by one's environmental surroundings. Molecular approaches have revealed that syndromes (Prader-Willi and Bardet-Biedl) previously assumed to be controlled by a single gene are, conversely, regulated by multiple elements. Finally, the application of comprehensive profiling technologies coupled with creative statistical analyses has revealed that interactions between genetic and environmental factors are responsible for the common obesity currently challenging many Westernized societies. As such, an improved understanding of the different “types” of obesity not only permits the development of potential therapies, but also proposes novel and often unexpected directions in deciphering the dysfunctional state of obesity.
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影响因子：
9.8
作者：
Boutin P;Dina C;Vasseur F;Dubois S;Corset L;Séron K;Bekris L;Cabellon J;Neve B;Vasseur-Delannoy V;Chikri M;Charles MA;Clement K;Lernmark A;Froguel P
通讯作者：
Froguel P
DOI：
10.1073/pnas.0600158103
发表时间：
2006-04-18
影响因子：
11.1
作者：
Chiang, AP;Beck, JS;Sheffield, VC
通讯作者：
Sheffield, VC
DOI：
10.1098/rstb.2006.1861
发表时间：
2006-07-29
影响因子：
6.3
作者：
Ellacott, Kate L. J.;Cone, Roger D.
通讯作者：
Cone, Roger D.
影响因子：
30.8
作者：
Clayton, DG;Walker, NM;Todd, JA
通讯作者：
Todd, JA
影响因子：
7
作者：
Clément, K
通讯作者：
Clément, K