Lenalidomide reduces microglial activation and behavioral deficits in a transgenic model of Parkinson’s disease

BACKGROUND: Parkinson’s disease (PD) is one of the most common causes of dementia and motor deficits in the elderly. PD is characterized by the abnormal accumulation of the synaptic protein alpha-synuclein (α-syn) and degeneration of dopaminergic neurons in substantia nigra, which leads to neurodegeneration and neuroinflammation. Currently, there are no disease modifying alternatives for PD; however, targeting neuroinflammation might be a viable option for reducing motor deficits and neurodegeneration. Lenalidomide is a thalidomide derivative designed for reduced toxicity and increased immunomodulatory properties. Lenalidomide has shown protective effects in an animal model of amyotrophic lateral sclerosis, and its mechanism of action involves modulation of cytokine production and inhibition of NF-κB signaling. METHODS: In order to assess the effect of lenalidomide in an animal model of PD, mThy1-α-syn transgenic mice were treated with lenalidomide or the parent molecule thalidomide at 100 mg/kg for 4 weeks. RESULTS: Lenalidomide reduced motor behavioral deficits and ameliorated dopaminergic fiber loss in the striatum. This protective action was accompanied by a reduction in microgliosis both in striatum and hippocampus. Central expression of pro-inflammatory cytokines was diminished in lenalidomide-treated transgenic animals, together with reduction in NF-κB activation. CONCLUSION: These results support the therapeutic potential of lenalidomide for reducing maladaptive neuroinflammation in PD and related neuropathologies. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12974-015-0320-x) contains supplementary material, which is available to authorized users

Extracellular vesicle sorting of α-Synuclein is regulated by sumoylation.

Extracellular α-Synuclein has been implicated in interneuronal propagation of disease pathology in Parkinson's Disease. How α-Synuclein is released into the extracellular space is still unclear. Here, we show that α-Synuclein is present in extracellular vesicles in the central nervous system. We find that sorting of α-Synuclein in extracellular vesicles is regulated by sumoylation and that sumoylation acts as a sorting factor for targeting of both, cytosolic and transmembrane proteins, to extracellular vesicles. We provide evidence that the SUMO-dependent sorting utilizes the endosomal sorting complex required for transport (ESCRT) by interaction with phosphoinositols. Ubiquitination of cargo proteins is so far the only known determinant for ESCRT-dependent sorting into the extracellular vesicle pathway. Our study reveals a function of SUMO protein modification as a Ubiquitin-independent ESCRT sorting signal, regulating the extracellular vesicle release of α-Synuclein. We deciphered in detail the molecular mechanism which directs α-Synuclein into extracellular vesicles which is of highest relevance for the understanding of Parkinson's disease pathogenesis and progression at the molecular level. We furthermore propose that sumo-dependent sorting constitutes a mechanism with more general implications for cell biology.peerReviewe

What Next? The Next Transit from Biology to Diagnostics: Next Generation Sequencing for Immunogenetics

The human genome project triggered the introduction of next generation sequencing (NGS) systems. Although originally developed for total genome sequencing, metagenomics and plant genetics, the ultra-deep sequencing feature of NGS was utilized for diagnostic purposes in HIV resistance and tropism as well in detecting new mutations and tumor clones in oncology. Recent publications exploited the feature of clonal sequencing for immunogenetics to dissolve the growing number of ambiguities. This concept is quite reliable if all exons of interest are tested and the amplification region includes flanking introns. Challenging questions on quality control, cost effectiveness, workflow, and management of enormous loads of data remain if NGS is considered as routine method in the immunogenetics laboratory. If solved, NGS has big potential to have a major impact on immunogenetics by way of providing ambiguity-free HLA-typing results faster, but will also have a great influence on how immunogenetics testing and workflows are organized