生物谷報(bào)道：來自北京大學(xué)生命科學(xué)學(xué)院植物基因工程和蛋白質(zhì)工程國(guó)家重點(diǎn)實(shí)驗(yàn)室（National Laboratory of Protein Engineering and Plant Genetic Engineering，生物谷注）生物信息學(xué)中心的研究人員發(fā)現(xiàn),，人體大約400種基因似乎更容易使人對(duì)毒品上癮,。這一發(fā)現(xiàn)對(duì)治療吸毒者以及對(duì)毒品上癮的控制開創(chuàng)了新的方法。這一研究成果公布在PLoS Comput Biol上,。
在對(duì)復(fù)雜病癥的研究中,，找出路線圖非常重要，因?yàn)檫@種做法縮小了對(duì)基因和蛋白質(zhì)的研究范圍,。在一些癌癥的治療研究中,，路線圖能夠幫助醫(yī)生更加準(zhǔn)確地診斷并且預(yù)測(cè)疾病的發(fā)展。
在這篇研究中,，研究人員就四類上癮物質(zhì)（可卡因,、鴉片、酒精以及尼古?。┻M(jìn)行了研究，并且構(gòu)建出導(dǎo)致毒品上癮的五種路線圖,，或稱“分子路徑”,。 他們認(rèn)為在各種使人容易毒品上癮的因素中，遺傳基因占60%,，剩下40%跟環(huán)境因素有關(guān),。“這些常見的路徑潛藏在回應(yīng)機(jī)制之下，很可能成為有效治療各種上癮癥狀的著眼點(diǎn)和目標(biāo)”,。
通過分析過去30年中同行發(fā)表的1,000多份有關(guān)毒癮與基因和染色體區(qū)域聯(lián)系的醫(yī)療出版物,，研究人員也列出與吸毒成癮相關(guān)的1,500個(gè)基因的清單。在路徑圖中,，其中一些基因比其他基因出現(xiàn)更頻繁,，科學(xué)家們已經(jīng)將清單縮小至396個(gè)。
生物谷推薦原始出處：
Genes and (Common) Pathways Underlying Drug Addiction
Chuan-Yun Li, Xizeng Mao, Liping Wei*
1 Center for Bioinformatics, National Laboratory of Protein Engineering and Plant Genetic Engineering, College of Life Sciences, Peking University, Beijing, People's Republic of China
Drug addiction is a serious worldwide problem with strong genetic and environmental influences. Different technologies have revealed a variety of genes and pathways underlying addiction; however, each individual technology can be biased and incomplete. We integrated 2,343 items of evidence from peer-reviewed publications between 1976 and 2006 linking genes and chromosome regions to addiction by single-gene strategies, microrray, proteomics, or genetic studies. We identified 1,500 human addiction-related genes and developed KARG (http://karg.cbi.pku.edu.cn), the first molecular database for addiction-related genes with extensive annotations and a friendly Web interface. We then performed a meta-analysis of 396 genes that were supported by two or more independent items of evidence to identify 18 molecular pathways that were statistically significantly enriched, covering both upstream signaling events and downstream effects. Five molecular pathways significantly enriched for all four different types of addictive drugs were identified as common pathways which may underlie shared rewarding and addictive actions, including two new ones, GnRH signaling pathway and gap junction. We connected the common pathways into a hypothetical common molecular network for addiction. We observed that fast and slow positive feedback loops were interlinked through CAMKII, which may provide clues to explain some of the irreversible features of addiction.
Received: July 18, 2007; Accepted: November 19, 2007; Published: January 4, 2008
附：
魏麗萍 博士
北京大學(xué)生命科學(xué)學(xué)院生物信息中心 教授,、主任
蛋白質(zhì)工程與植物基因工程國(guó)家重點(diǎn)實(shí)驗(yàn)室 副主任
Liping Wei, Ph.D.
Professor, Director
Center for Bioinformatics, College of Life Sciences
Peking University
Phone：010-6275-5206
Fax： 010-6276-4970
E-mail：[email protected]
