近日，國(guó)際期刊《自然—免疫學(xué)》（Nature Immunology）報(bào)道了哈佛醫(yī)學(xué)院等處研究人員的成果,，他們發(fā)明了一種預(yù)測(cè)I型糖尿?。═1D）發(fā)作的方法。
T1D的研究模型采用的是非肥胖型糖尿病小鼠,，但并非所有小鼠都會(huì)最終發(fā)展成末期糖尿病癥狀,。Diane Mathis和同事使用了一種經(jīng)過(guò)反復(fù)驗(yàn)證的磁共振成像技術(shù)來(lái)區(qū)分這些小鼠的糖尿病病情是否都發(fā)展為臨床癥狀。利用該技術(shù),，他們還能估計(jì)出該病臨床癥狀的發(fā)病時(shí)間,。重要的是，他們注意到糖尿病的抗性與一種名為CRIg的受體有關(guān)：該受體通過(guò)巨噬細(xì)胞——一種免疫細(xì)胞的亞群——進(jìn)行表達(dá),，對(duì)小鼠體內(nèi)CRIg蛋白的控制可以降低糖尿病的發(fā)病率,。
因?yàn)榇殴舱癯上窦夹g(shù)能應(yīng)用于人體，所以下一步可在高危病人身上使用這種方法,，以檢驗(yàn)其能否作為T1D的預(yù)測(cè)工具,。（生物谷Bioon.com）
doi:10.1038/ni.2233
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Early window of diabetes determinism in NOD mice, dependent on the complement receptor CRIg, identified by noninvasive imaging
Wenxian Fu, Gregory Wojtkiewicz, Ralph Weissleder, Christophe Benoist & Diane Mathis
All juvenile mice of the nonobese diabetic (NOD) strain develop insulitis, but there is considerable variation in their progression to diabetes. Here we used a strategy based on magnetic resonance imaging (MRI) of magnetic nanoparticles to noninvasively visualize local effects of pancreatic-islet inflammation to predict the onset of diabetes in NOD mice. MRI signals acquired during a narrow early time window allowed us to sort mice into groups that would progress to clinical disease or not and to estimate the time to diabetes development. We exploited this approach to identify previously unknown molecular and cellular elements correlated with disease protection, including the complement receptor of the immunoglobulin superfamily (CRIg), which marked a subset of macrophages associated with diabetes resistance. Administration of a fusion of CRIg and the Fc portion of immunoglobulin resulted in lower MRI signals and diabetes incidence. In addition to identifying regulators of disease progression, we show here that diabetes is set at an early age in NOD mice.
