X-Ray Phase Contrast Tomography Reveals Early Vascular Alterations and Neuronal Loss in a Multiple Sclerosis Model.
X-Ray Phase Contrast Tomography Reveals Early Vascular Alterations and Neuronal Loss in a Multiple Sclerosis Model.
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DOI：
10.1038/s41598-017-06251-7
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发表时间：
2017-07-19
影响因子：
4.6
通讯作者：
Uccelli A
中科院分区：
文献类型：
--
作者：
Cedola A;Bravin A;Bukreeva I;Fratini M;Pacureanu A;Mittone A;Massimi L;Cloetens P;Coan P;Campi G;Spanò R;Brun F;Grigoryev V;Petrosino V;Venturi C;Mastrogiacomo M;Kerlero de Rosbo N;Uccelli A
多发性硬化症在中枢神经系统血管和神经元网络水平的退行性影响是目前深入研究的对象。临床前研究已经证明了间充质干细胞（MSC）治疗实验性自身免疫性脑脊髓炎（EAE），多发性硬化症的动物模型的疗效，但在EAE中的特定病变的神经病理学和MSC治疗的效果是有争议的。由于传统的成像技术需要改变组织的协议，限制了结果的可靠性，我们使用了非侵入性X射线相衬断层扫描，以获得前所未有的直接3D表征EAE病变在微米到纳米尺度，同时成像的血管和神经网络。我们揭示了EAE介导的毛细血管网络的变化。我们的研究结果揭示了疾病和MSC治疗如何影响组织，并促进X射线相衬断层扫描作为研究神经血管疾病和监测先进治疗的有力工具。
The degenerative effects of multiple sclerosis at the level of the vascular and neuronal networks in the central nervous system are currently the object of intensive investigation. Preclinical studies have demonstrated the efficacy of mesenchymal stem cell (MSC) therapy in experimental autoimmune encephalomyelitis (EAE), the animal model for multiple sclerosis, but the neuropathology of specific lesions in EAE and the effects of MSC treatment are under debate. Because conventional imaging techniques entail protocols that alter the tissues, limiting the reliability of the results, we have used non-invasive X-ray phase-contrast tomography to obtain an unprecedented direct 3D characterization of EAE lesions at micro-to-nano scales, with simultaneous imaging of the vascular and neuronal networks. We reveal EAE-mediated alterations down to the capillary network. Our findings shed light on how the disease and MSC treatment affect the tissues, and promote X-ray phase-contrast tomography as a powerful tool for studying neurovascular diseases and monitoring advanced therapies.
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影响因子：
4
作者：
Mokso, R.;Cloetens, P.;Buffiere, J. -Y.
通讯作者：
Buffiere, J. -Y.
影响因子：
3
作者：
Bartels, M.;Krenkel, M.;Salditt, T.
通讯作者：
Salditt, T.
影响因子：
4.6
作者：
Fratini M;Bukreeva I;Campi G;Brun F;Tromba G;Modregger P;Bucci D;Battaglia G;Spanò R;Mastrogiacomo M;Requardt H;Giove F;Bravin A;Cedola A
通讯作者：
Cedola A
影响因子：
17.1
作者：
Iliff JJ;Wang M;Liao Y;Plogg BA;Peng W;Gundersen GA;Benveniste H;Vates GE;Deane R;Goldman SA;Nagelhus EA;Nedergaard M
通讯作者：
Nedergaard M
影响因子：
3.4
作者：
Cloetens, P;Barrett, R;Schlenker, M
通讯作者：
Schlenker, M