正电子发射断层摄影术
病理
突触
Pet成像
医学
多发性硬化
神经科学
神经影像学
病变
临床前影像学
磁共振成像
生物
海马体
放射性配体
额叶
人脑
大脑皮层
皮质神经元
作者
Emily M. Ullrich Gavilanes,Laura M. Bartos,Jonathan A. Gernert,Carla Ares Carral,Domingo Navarro,Joachim Havla,Lisa Ann Gerdes,Johannes Gnörich,Lea H. Kunze,Julia S. Dorneich,Vanessa Pakula,Lisa Tagnin,Hanna Zimmermann,Klaus Seelos,Nicolai Franzmeier,Lukas Frontzkowski,Nuno Pedrosa de Barros,Annemie Ribbens,Rachel Maria Zwergal,Andreas Zwergal
标识
DOI:10.1126/scitranslmed.adt5585
摘要
Gray matter pathology, including the formation of cortical lesions, predicts progression in people with multiple sclerosis (PwMS). Here, we investigated whether positron emission tomography (PET) imaging using the synaptic vesicle protein 2A (SV2A)-targeting radioligand [18F]UCB-H could help to detect and monitor synapse loss, an early feature of gray matter pathology in MS. First, we confirmed that SV2A is a suitable marker of synapse density in MS by analyzing SV2A mRNA and protein expression in cortical gray matter. We then used a mouse model of cortical MS pathology to demonstrate that SV2A-PET imaging can detect synapse loss in cortical lesions and that synapse densities measured by PET imaging correspond to the densities of genetically and immunohistochemically labeled synapses in the same lesions. Last, we performed SV2A-PET imaging in a total of 31 PwMS at different stages of the disease process, showing that PET imaging can detect synapse loss in cortical MS lesions in vivo. Moreover, we found that interhemispheric asymmetries in SV2A-PET tracer uptake can be leveraged to uncover further cortical alterations, the volume of which was more than 20-fold larger than the cortical lesion area detected by MRI. The extent of these PET-defined areas of cortical synapse pathology was larger in the progressive stage of the disease and correlated with the disability and cognitive performance of the same individuals. SV2A-PET imaging thus unmasked clinically relevant cortical pathology in MS thereby providing a promising tool to detect and monitor disease progression.
科研通智能强力驱动
Strongly Powered by AbleSci AI