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Neurology：帕金森病进展强烈相关的生物标志物有哪些？

2017-02-13 xing.T MedSci原创

帕金森病进展生物标志物
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血浆代谢组学分析得到了与PD进展强列相关的预测因子，并且找到了可为PD发病机制提供新认识的生物学标志物。

近日，神经病学领域权威取杂志Neurology上发表了一篇研究文章，研究人员旨在明确帕金森病（PD）特异性生化标志物是否可能在全身代谢介质中或脑脊液腔室内被发现，特别是因为这种疾病除了黑质纹状体的多巴胺能神经元进行性丢失外还有全身性表现。

该研究的主要目标是发现与PD进展相关的生物学标志物。研究人员采用超高效液相色谱法与气相色谱串联质谱法进行研究，测定了49例未服药的轻度受影响的PD患者（平均年龄为61.4岁；PD平均病程为11.4个月）血浆和脑脊液中小分子（≤1.5 kDa）成分的浓度。研究人员两次标本收集（基线和最终）时间间隔长达24个月。在这期间，平均统一帕金森病评定量表（UPDRS）2+3部分的得分提高了47%（从28.8分到42.2分）。研究人员对测得的化合物进行了不偏倚的单变量和多变量分析，包括将使用最小绝对的收缩和选择算子（LASSO）选择的变量代入多元线性回归进行数据拟合。

研究人员从血浆中确定了575个和从脑脊液中确定了383个生化指标，LASSO选择的15个基础血浆成分与基线到最终的UPDRS2±3部分的评分变化值呈高度正相关关系（0.87，P=2.2e−16）。三个化合物都含有黄嘌呤结构，4个化合物为中、长链脂肪酸。对于LASSO选择的15个生物学标志物，通路富集软件并没有发现过度重叠的代谢途径。脑脊液中多巴胺代谢产物高香草酸的浓度在基线和最终收集的样本中变化较小，并且与UPDRS2±3部分的评分恶化相关性最小（0.29，P=0.041）。

由此可见，血浆代谢组学分析得到了与PD进展强列相关的预测因子，并且找到了可为PD发病机制提供新认识的生物学标志物。

原始出处：

Peter A. LeWitt,et al. Metabolomic biomarkers as strong correlates of Parkinson disease progression. Neurology.  http://dx.doi.org/10.1212/WNL.0000000000003663

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    2017-04-08 hukaixun

    #标志物#

    0

  2. [GetPortalCommentsPageByObjectIdResponse(id=1840963, encodeId=db5318409638e, content=<a href='/topic/show?id=18bf61953d3' target=_blank style='color:#2F92EE;'>#标志物#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=65, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=61953, encryptionId=18bf61953d3, topicName=标志物)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=6ab940, createdName=hukaixun, createdTime=Sat Apr 08 14:28:00 CST 2017, time=2017-04-08, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1999825, encodeId=26871999825e6, content=<a href='/topic/show?id=d5df12695e6' target=_blank style='color:#2F92EE;'>#Neurol#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=60, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=12695, encryptionId=d5df12695e6, topicName=Neurol)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=8217292, createdName=yinhl1978, createdTime=Sun Sep 24 10:28:00 CST 2017, time=2017-09-24, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1560585, encodeId=e9c11560585ba, content=<a href='/topic/show?id=3c746936567' target=_blank style='color:#2F92EE;'>#生物标志#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=73, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=69365, encryptionId=3c746936567, topicName=生物标志)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=63db15173977, createdName=zhu_jun9842, createdTime=Wed Feb 15 01:28:00 CST 2017, time=2017-02-15, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1566594, encodeId=4289156659411, content=<a href='/topic/show?id=3c746936567' target=_blank style='color:#2F92EE;'>#生物标志#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=0, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=69365, encryptionId=3c746936567, topicName=生物标志)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=a12645, createdName=智智灵药, createdTime=Wed Feb 15 01:28:00 CST 2017, time=2017-02-15, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=175908, encodeId=85f31e59080c, content=学习一下新知识, beContent=null, objectType=article, channel=null, level=null, likeNumber=129, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=2d331664955, createdName=老段, createdTime=Mon Feb 13 11:49:44 CST 2017, time=2017-02-13, status=1, ipAttribution=)]
    2017-09-24 yinhl1978

    #Neurol#

    0

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    2017-02-15 zhu_jun9842

    #生物标志#

    0

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    2017-02-15 智智灵药

    #生物标志#

    0

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    2017-02-13 老段

    学习一下新知识

    0

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