Acta Neuropathologica: 淀粉样前体蛋白C末端片段的积累在阿尔茨海默病模型和人脑中触发线粒体结构、功能和有丝分裂缺陷

2020-10-23 MedSci原创 MedSci原创

最近的一些证据表明,淀粉样前体蛋白衍生的C末端片段(APP-CTFs)可能与阿尔茨海默病(AD)病理学的病因触发有关。线粒体内稳态改变被认为是AD发展的早期事件。

最近的一些证据表明,淀粉样前体蛋白衍生的C末端片段(APP-CTFs)可能与阿尔茨海默病(AD)病理学的病因触发有关。线粒体内稳态改变被认为是AD发展的早期事件。然而,APP-CTFs对线粒体结构、功能和有丝分裂缺陷的具体贡献仍有待证实。

在这里,我们证明在神经母细胞瘤SH-SY5Y细胞中,表达APP瑞典突变或β-分泌酶衍生的APP-CTF片段(C99)结合β-和γ-分泌酶抑制,APP-CTF的积累独立于Aβ触发过度的线粒体形态改变,其与线粒体活性氧生成增强有关。APP-CTFs的积累也引起基础的有丝分裂功能衰竭,表现为LC3的转化增强、LC3-I和/或LC3-II的积累、SQSTM1/p62的不降解、线粒体中Parkin和PINK1不一致的募集、膜和基质线粒体蛋白水平的提高以及线粒体与溶酶体融合不足。

我们还证实了APP-CTFs的积累对γ-分泌酶抑制剂处理的年轻3xTgAD转基因小鼠以及腺相关病毒C99注射小鼠体内形态学线粒体改变和基础有丝分裂功能受损的作用。对2xTgAD和3xTgAD老龄小鼠的比较表明,除了APP-CTFs外,Aβ对晚期有丝分裂的激活有额外的作用。重要的是,我们报告了在人类死后散发性AD大脑中APP-ctf的线粒体积累与有丝分裂失败分子特征相关。

方法:使用添加蛋白酶抑制剂的裂解缓冲液(50 mM Tris pH 8、10%甘油、200 mM NaCl、0.5%Nonidet p-40和0.1 mM EDTA)制备总蛋白提取物。使用添加蛋白酶抑制剂混合物的分离缓冲液(250 mM D-甘露醇、5 mM HEPES pH 7.4、0.5 mM EGTA和0.1%BSA)分离线粒体部分。在冰上冷冻20分钟并频繁敲打后,细胞、小鼠大脑或解剖的海马被玻璃均浆器120次击碎,匀浆在1500×g、4°C下离心以去除未破裂的细胞和细胞核。收集部分上清液作为总馏分,另一部分在4℃下以10000 × g离心10分钟以沉淀线粒体馏分,将其悬浮在添加有蛋白酶抑制剂的分离缓冲液中。全长APP、APP-CTFs和Aβ在16.5%trisine-SDS-PAGE上分离,然后转移到硝酸纤维素膜上。将膜在PBS中煮沸,在TBS、5%脱脂牛奶中饱和,并与特定抗体一起孵育过夜。其余蛋白均按标准程序进行SDS-PAGE分离。

综上所述,线粒体内稳态缺陷在AD发病机制中起着关键作用,因此通过抑制早期APP-CTFs的积累来靶向线粒体功能障碍和/或吞噬功能可能是AD的相关治疗干预措施。

Vaillant-Beuchot, L., Mary, A., Pardossi-Piquard, R. et al. Accumulation of amyloid precursor protein C-terminal fragments triggers mitochondrial structure, function, and mitophagy defects in Alzheimer’s disease models and human brains. Acta Neuropathol (2020). https://doi.org/10.1007/s00401-020-02234-7

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topicList=[TopicDto(id=97777, encryptionId=4c9f9e777ac, topicName=阿尔茨海)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=636e2500187, createdName=12498da4m32(暂无昵称), createdTime=Wed Oct 06 05:59:39 CST 2021, time=2021-10-06, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1850071, encodeId=7c4a18500e1c0, content=<a href='/topic/show?id=61815385aa' target=_blank style='color:#2F92EE;'>#CTA#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=28, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=5385, encryptionId=61815385aa, topicName=CTA)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=ec9955, createdName=windight, createdTime=Tue May 11 08:59:39 CST 2021, time=2021-05-11, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1817040, encodeId=867c181e04021, content=<a href='/topic/show?id=17b59e77626' target=_blank style='color:#2F92EE;'>#阿尔茨#</a>, 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createdTime=Sun Oct 25 12:59:39 CST 2020, time=2020-10-25, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1521453, encodeId=48a0152145348, content=<a href='/topic/show?id=f52b605e618' target=_blank style='color:#2F92EE;'>#有丝分裂#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=43, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=60576, encryptionId=f52b605e618, topicName=有丝分裂)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=983f11348598, createdName=tamgche, createdTime=Sun Oct 25 12:59:39 CST 2020, time=2020-10-25, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1047858, encodeId=e211104e8583a, content=梅斯里提供了很多疾病的模型计算公式,赞一个!, beContent=null, objectType=article, channel=null, level=null, likeNumber=49, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=CHANGE, createdTime=Sat Oct 24 00:59:39 CST 2020, time=2020-10-24, status=1, ipAttribution=)]
  5. [GetPortalCommentsPageByObjectIdResponse(id=1786414, encodeId=d6581e86414db, content=<a href='/topic/show?id=569f13e9045' target=_blank style='color:#2F92EE;'>#Pathol#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=37, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=13790, encryptionId=569f13e9045, topicName=Pathol)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=4b65161, createdName=yb6560, createdTime=Fri May 28 20:59:39 CST 2021, time=2021-05-28, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=2055193, encodeId=477020551934c, content=<a href='/topic/show?id=091688615da' target=_blank style='color:#2F92EE;'>#蛋白C#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=35, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=88615, encryptionId=091688615da, topicName=蛋白C)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=4f2c2500194, 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beContent=null, objectType=article, channel=null, level=null, likeNumber=22, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=97776, encryptionId=17b59e77626, topicName=阿尔茨)], attachment=null, authenticateStatus=null, createdAvatar=https://thirdwx.qlogo.cn/mmopen/vi_32/Bnia2EtH2IvyBtniaWHPQOYAicsN3IAL1ZuPV7qyALcdCiawRJdEiafMxWTxzERQW7eeKg8HfCKCRK2CJicy073C4RJg/132, createdBy=464b2500186, createdName=ms1948154235210413, createdTime=Fri Sep 17 09:59:39 CST 2021, time=2021-09-17, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1470417, encodeId=3c3d14e04170d, content=<a href='/topic/show?id=45a79e7788c' target=_blank style='color:#2F92EE;'>#阿尔茨海默#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=24, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=97778, encryptionId=45a79e7788c, topicName=阿尔茨海默)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=21015, createdName=heli0118, createdTime=Sun Oct 25 12:59:39 CST 2020, time=2020-10-25, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1521453, encodeId=48a0152145348, content=<a href='/topic/show?id=f52b605e618' target=_blank style='color:#2F92EE;'>#有丝分裂#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=43, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=60576, encryptionId=f52b605e618, topicName=有丝分裂)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=983f11348598, createdName=tamgche, createdTime=Sun Oct 25 12:59:39 CST 2020, time=2020-10-25, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1047858, encodeId=e211104e8583a, content=梅斯里提供了很多疾病的模型计算公式,赞一个!, beContent=null, objectType=article, channel=null, level=null, likeNumber=49, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=CHANGE, createdTime=Sat Oct 24 00:59:39 CST 2020, time=2020-10-24, status=1, ipAttribution=)]
    2021-05-11 windight
  6. [GetPortalCommentsPageByObjectIdResponse(id=1786414, encodeId=d6581e86414db, content=<a href='/topic/show?id=569f13e9045' target=_blank style='color:#2F92EE;'>#Pathol#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=37, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=13790, encryptionId=569f13e9045, topicName=Pathol)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=4b65161, createdName=yb6560, createdTime=Fri May 28 20:59:39 CST 2021, time=2021-05-28, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=2055193, encodeId=477020551934c, content=<a href='/topic/show?id=091688615da' target=_blank style='color:#2F92EE;'>#蛋白C#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=35, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=88615, encryptionId=091688615da, topicName=蛋白C)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=4f2c2500194, 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createdTime=Sun Oct 25 12:59:39 CST 2020, time=2020-10-25, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1521453, encodeId=48a0152145348, content=<a href='/topic/show?id=f52b605e618' target=_blank style='color:#2F92EE;'>#有丝分裂#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=43, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=60576, encryptionId=f52b605e618, topicName=有丝分裂)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=983f11348598, createdName=tamgche, createdTime=Sun Oct 25 12:59:39 CST 2020, time=2020-10-25, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1047858, encodeId=e211104e8583a, content=梅斯里提供了很多疾病的模型计算公式,赞一个!, beContent=null, objectType=article, channel=null, level=null, likeNumber=49, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=CHANGE, createdTime=Sat Oct 24 00:59:39 CST 2020, time=2020-10-24, status=1, ipAttribution=)]
  7. [GetPortalCommentsPageByObjectIdResponse(id=1786414, encodeId=d6581e86414db, content=<a href='/topic/show?id=569f13e9045' target=_blank style='color:#2F92EE;'>#Pathol#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=37, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=13790, encryptionId=569f13e9045, topicName=Pathol)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=4b65161, createdName=yb6560, createdTime=Fri May 28 20:59:39 CST 2021, time=2021-05-28, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=2055193, encodeId=477020551934c, content=<a href='/topic/show?id=091688615da' target=_blank style='color:#2F92EE;'>#蛋白C#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=35, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=88615, encryptionId=091688615da, topicName=蛋白C)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=4f2c2500194, 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createdTime=Sun Oct 25 12:59:39 CST 2020, time=2020-10-25, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1521453, encodeId=48a0152145348, content=<a href='/topic/show?id=f52b605e618' target=_blank style='color:#2F92EE;'>#有丝分裂#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=43, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=60576, encryptionId=f52b605e618, topicName=有丝分裂)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=983f11348598, createdName=tamgche, createdTime=Sun Oct 25 12:59:39 CST 2020, time=2020-10-25, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1047858, encodeId=e211104e8583a, content=梅斯里提供了很多疾病的模型计算公式,赞一个!, beContent=null, objectType=article, channel=null, level=null, likeNumber=49, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=CHANGE, createdTime=Sat Oct 24 00:59:39 CST 2020, time=2020-10-24, status=1, ipAttribution=)]
  8. 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createdTime=Sat Oct 24 00:59:39 CST 2020, time=2020-10-24, status=1, ipAttribution=)]
  9. [GetPortalCommentsPageByObjectIdResponse(id=1786414, encodeId=d6581e86414db, content=<a href='/topic/show?id=569f13e9045' target=_blank style='color:#2F92EE;'>#Pathol#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=37, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=13790, encryptionId=569f13e9045, topicName=Pathol)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=4b65161, createdName=yb6560, createdTime=Fri May 28 20:59:39 CST 2021, time=2021-05-28, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=2055193, encodeId=477020551934c, content=<a href='/topic/show?id=091688615da' target=_blank style='color:#2F92EE;'>#蛋白C#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=35, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=88615, encryptionId=091688615da, topicName=蛋白C)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=4f2c2500194, 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createdTime=Sun Oct 25 12:59:39 CST 2020, time=2020-10-25, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1521453, encodeId=48a0152145348, content=<a href='/topic/show?id=f52b605e618' target=_blank style='color:#2F92EE;'>#有丝分裂#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=43, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=60576, encryptionId=f52b605e618, topicName=有丝分裂)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=983f11348598, createdName=tamgche, createdTime=Sun Oct 25 12:59:39 CST 2020, time=2020-10-25, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1047858, encodeId=e211104e8583a, content=梅斯里提供了很多疾病的模型计算公式,赞一个!, beContent=null, objectType=article, channel=null, level=null, likeNumber=49, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=CHANGE, createdTime=Sat Oct 24 00:59:39 CST 2020, time=2020-10-24, status=1, ipAttribution=)]
    2020-10-24 CHANGE

    梅斯里提供了很多疾病的模型计算公式,赞一个!

    0