Molecular dissection of amyloid disaggregation by human HSP70.

The deposition of highly ordered fibrillar-type aggregates into inclusion bodies is a hallmark of neurodegenerative diseases such as Parkinson's disease. The high stability of such amyloid fibril aggregates makes them challenging substrates for the cellular protein quality-control machinery1,2. However, the human HSP70 chaperone and its co-chaperones DNAJB1 and HSP110 can dissolve preformed fibrils of the Parkinson's disease-linked presynaptic protein α-synuclein in vitro3,4. The underlying mechanisms of this unique activity remain poorly understood. Here we use biochemical tools and nuclear magnetic resonance spectroscopy to determine the crucial steps of the disaggregation process of amyloid fibrils. We find that DNAJB1 specifically recognizes the oligomeric form of α-synuclein via multivalent interactions, and selectively targets HSP70 to fibrils. HSP70 and DNAJB1 interact with the fibril through exposed, flexible amino and carboxy termini of α-synuclein rather than the amyloid core itself. The synergistic action of DNAJB1 and HSP110 strongly accelerates disaggregation by facilitating the loading of several HSP70 molecules in a densely packed arrangement at the fibril surface, which is ideal for the generation of 'entropic pulling' forces. The cooperation of DNAJB1 and HSP110 in amyloid disaggregation goes beyond the classical substrate targeting and recycling functions that are attributed to these HSP70 co-chaperones and constitutes an active and essential contribution to the remodelling of the amyloid substrate. These mechanistic insights into the essential prerequisites for amyloid disaggregation may provide a basis for new therapeutic interventions in neurodegeneration.

A blood-based miRNA signature with prognostic value for overall survival in advanced stage non-small cell lung cancer treated with immunotherapy.

Immunotherapies have recently gained traction as highly effective therapies in a subset of late-stage cancers. Unfortunately, only a minority of patients experience the remarkable benefits of immunotherapies, whilst others fail to respond or even come to harm through immune-related adverse events. For immunotherapies within the PD-1/PD-L1 inhibitor class, patient stratification is currently performed using tumor (tissue-based) PD-L1 expression. However, PD-L1 is an accurate predictor of response in only ~30% of cases. There is pressing need for more accurate biomarkers for immunotherapy response prediction. We sought to identify peripheral blood biomarkers, predictive of response to immunotherapies against lung cancer, based on whole blood microRNA profiling. Using three well-characterized cohorts consisting of a total of 334 stage IV NSCLC patients, we have defined a 5 microRNA risk score (miRisk) that is predictive of overall survival following immunotherapy in training and independent validation (HR 2.40, 95% CI 1.37-4.19; P < 0.01) cohorts. We have traced the signature to a myeloid origin and performed miRNA target prediction to make a direct mechanistic link to the PD-L1 signaling pathway and PD-L1 itself. The miRisk score offers a potential blood-based companion diagnostic for immunotherapy that outperforms tissue-based PD-L1 staining.