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Stroke:脑源性神经营养因子基因型与卒中后上肢运动结局的关系!

2017-05-12 xing.T MedSci原创

由此可见,脑源性神经营养因子基因型可能是一个潜在的严重基础运动受累的亚急性卒中患者上肢运动结局有用预测指标。

识别预测上肢运动结局的内在因素有助于卒中康复个体化治疗方案的设计。近日,卒中领域权威杂志Stroke上发表了一篇研究文章,该研究的目的是确定亚急性卒中患者的上肢运动结局的预后因素,包括内在的遗传因素。

研究人员共招募了97例亚急性脑卒中患者。上肢运动功能障碍根据卒中后3个月的上肢Fugl Meyer评分来进行评估。研究人员采用可能会影响这种损伤的多种因素建模来预测3个月的上肢运动的结局,这些因素包括病人的特点、基础上肢运动功能障碍、皮质脊髓束的功能和结构完整性以及脑源性神经营养因子基因型。多变量有序Logistic回归模型被用来确定每个因素的意义。

在3个月的运动结局独立预测因子包括基础上肢运动障碍、年龄、卒中类型和在所有脑卒中患者皮质脊髓束功能的完整性。然而,在基础严重运动障碍的患者中(上肢Fugl Meyer评价<25分),脑源性神经营养因子基因型的Met等位基因数量也是卒中后3个月上肢运动预后的独立预测因子。

由此可见,脑源性神经营养因子基因型可能是一个潜在的严重基础运动受累的亚急性卒中患者上肢运动结局有用预测指标。

原始出处:

Won Hyuk Changet al. Association Between Brain-Derived Neurotrophic Factor Genotype and Upper Extremity Motor Outcome After Stroke.Stroke. 2017.  https://doi.org/10.1161/STROKEAHA.116.015264

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  5. 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  6. 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  7. 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topicList=[TopicDto(id=74540, encryptionId=5958e454081, topicName=神经营养因子)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=21015, createdName=heli0118, createdTime=Thu Dec 28 23:09:00 CST 2017, time=2017-12-28, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1671292, encodeId=957416e1292fe, content=<a href='/topic/show?id=9f4e360191a' target=_blank style='color:#2F92EE;'>#卒中后#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=83, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=36019, encryptionId=9f4e360191a, topicName=卒中后)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=ff7426824786, createdName=waiwai3039, createdTime=Sun Apr 15 15:09:00 CST 2018, time=2018-04-15, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1813924, encodeId=cd1b181392402, content=<a href='/topic/show?id=449c94215f7' target=_blank style='color:#2F92EE;'>#运动结局#</a>, 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channel=null, level=null, likeNumber=98, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://wx.qlogo.cn/mmopen/mONcle9pic3zMoyicyo6ia9f4IuLQAwZoxD6Hx4ibd5CMcOCYhStY6oDibbKK6O2X8iaicldO5ib8j1iapOIobIKCGiczU2A/0, createdBy=56251941490, createdName=虈亣靌, createdTime=Sat May 13 15:57:42 CST 2017, time=2017-05-13, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=197545, encodeId=ddc319e54577, content=厉害啦,赞一个, beContent=null, objectType=article, channel=null, level=null, likeNumber=95, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://wx.qlogo.cn/mmopen/ajNVdqHZLLCclExeQ6LOGMD4dTsia4Ty4HtZCxRmG5vO5XIKfKX3a3vusfhHSej4Iib517vmhFW7RQgh7bpDp1yw/0, createdBy=50951609779, createdName=baihao215, createdTime=Sat May 13 13:01:18 CST 2017, time=2017-05-13, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=197116, encodeId=89a919e11624, content=这个确实没有想到,不过检测这项还需要机器投入, beContent=null, objectType=article, channel=null, level=null, likeNumber=105, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://wx.qlogo.cn/mmopen/NUyjXTCJjo6KcicAVC1MwuBA90ng5ibXMmibn1feGOQ2cjw0S48DKsF0icicFlmRxwHibIic2TNGd22vVqkKRMj2cRSWbpqZAPBPgdt/0, createdBy=81031668757, createdName=林3301, createdTime=Fri May 12 12:58:01 CST 2017, time=2017-05-12, status=1, ipAttribution=)]
    2017-05-14 绛珠草小姐

    学习了,谢谢

    0

  8. [GetPortalCommentsPageByObjectIdResponse(id=1801920, encodeId=de76180192088, content=<a href='/topic/show?id=f82de453923' target=_blank style='color:#2F92EE;'>#神经营养#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=87, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=74539, encryptionId=f82de453923, topicName=神经营养)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=d64f419, createdName=qindq, createdTime=Wed Feb 28 03:09:00 CST 2018, time=2018-02-28, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1643253, encodeId=0eff16432535e, content=<a href='/topic/show?id=59ac84925ab' target=_blank style='color:#2F92EE;'>#脑源性神经营养因子#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=93, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=84925, encryptionId=59ac84925ab, topicName=脑源性神经营养因子)], attachment=null, authenticateStatus=null, createdAvatar=null, 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channel=null, level=null, likeNumber=98, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://wx.qlogo.cn/mmopen/mONcle9pic3zMoyicyo6ia9f4IuLQAwZoxD6Hx4ibd5CMcOCYhStY6oDibbKK6O2X8iaicldO5ib8j1iapOIobIKCGiczU2A/0, createdBy=56251941490, createdName=虈亣靌, createdTime=Sat May 13 15:57:42 CST 2017, time=2017-05-13, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=197545, encodeId=ddc319e54577, content=厉害啦,赞一个, beContent=null, objectType=article, channel=null, level=null, likeNumber=95, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://wx.qlogo.cn/mmopen/ajNVdqHZLLCclExeQ6LOGMD4dTsia4Ty4HtZCxRmG5vO5XIKfKX3a3vusfhHSej4Iib517vmhFW7RQgh7bpDp1yw/0, createdBy=50951609779, createdName=baihao215, createdTime=Sat May 13 13:01:18 CST 2017, time=2017-05-13, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=197116, encodeId=89a919e11624, content=这个确实没有想到,不过检测这项还需要机器投入, beContent=null, objectType=article, channel=null, level=null, likeNumber=105, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://wx.qlogo.cn/mmopen/NUyjXTCJjo6KcicAVC1MwuBA90ng5ibXMmibn1feGOQ2cjw0S48DKsF0icicFlmRxwHibIic2TNGd22vVqkKRMj2cRSWbpqZAPBPgdt/0, createdBy=81031668757, createdName=林3301, createdTime=Fri May 12 12:58:01 CST 2017, time=2017-05-12, status=1, ipAttribution=)]
    2017-05-13 虈亣靌

    谢谢分享,学习了

    0

  9. 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channel=null, level=null, likeNumber=98, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://wx.qlogo.cn/mmopen/mONcle9pic3zMoyicyo6ia9f4IuLQAwZoxD6Hx4ibd5CMcOCYhStY6oDibbKK6O2X8iaicldO5ib8j1iapOIobIKCGiczU2A/0, createdBy=56251941490, createdName=虈亣靌, createdTime=Sat May 13 15:57:42 CST 2017, time=2017-05-13, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=197545, encodeId=ddc319e54577, content=厉害啦,赞一个, beContent=null, objectType=article, channel=null, level=null, likeNumber=95, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://wx.qlogo.cn/mmopen/ajNVdqHZLLCclExeQ6LOGMD4dTsia4Ty4HtZCxRmG5vO5XIKfKX3a3vusfhHSej4Iib517vmhFW7RQgh7bpDp1yw/0, createdBy=50951609779, createdName=baihao215, createdTime=Sat May 13 13:01:18 CST 2017, time=2017-05-13, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=197116, encodeId=89a919e11624, content=这个确实没有想到,不过检测这项还需要机器投入, beContent=null, objectType=article, channel=null, level=null, likeNumber=105, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://wx.qlogo.cn/mmopen/NUyjXTCJjo6KcicAVC1MwuBA90ng5ibXMmibn1feGOQ2cjw0S48DKsF0icicFlmRxwHibIic2TNGd22vVqkKRMj2cRSWbpqZAPBPgdt/0, createdBy=81031668757, createdName=林3301, createdTime=Fri May 12 12:58:01 CST 2017, time=2017-05-12, status=1, ipAttribution=)]
    2017-05-13 baihao215

    厉害啦,赞一个

    0

  10. 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channel=null, level=null, likeNumber=98, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://wx.qlogo.cn/mmopen/mONcle9pic3zMoyicyo6ia9f4IuLQAwZoxD6Hx4ibd5CMcOCYhStY6oDibbKK6O2X8iaicldO5ib8j1iapOIobIKCGiczU2A/0, createdBy=56251941490, createdName=虈亣靌, createdTime=Sat May 13 15:57:42 CST 2017, time=2017-05-13, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=197545, encodeId=ddc319e54577, content=厉害啦,赞一个, beContent=null, objectType=article, channel=null, level=null, likeNumber=95, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://wx.qlogo.cn/mmopen/ajNVdqHZLLCclExeQ6LOGMD4dTsia4Ty4HtZCxRmG5vO5XIKfKX3a3vusfhHSej4Iib517vmhFW7RQgh7bpDp1yw/0, createdBy=50951609779, createdName=baihao215, createdTime=Sat May 13 13:01:18 CST 2017, time=2017-05-13, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=197116, encodeId=89a919e11624, content=这个确实没有想到,不过检测这项还需要机器投入, beContent=null, objectType=article, channel=null, level=null, likeNumber=105, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://wx.qlogo.cn/mmopen/NUyjXTCJjo6KcicAVC1MwuBA90ng5ibXMmibn1feGOQ2cjw0S48DKsF0icicFlmRxwHibIic2TNGd22vVqkKRMj2cRSWbpqZAPBPgdt/0, createdBy=81031668757, createdName=林3301, createdTime=Fri May 12 12:58:01 CST 2017, time=2017-05-12, status=1, ipAttribution=)]
    2017-05-12 林3301

    这个确实没有想到,不过检测这项还需要机器投入

    0

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