Both mitochondria and lysosomes are essential for maintaining cellular homeostasis, and dysfunction of both organelles has been observed in multiple diseases1–4. Mitochondria are highly dynamic and undergo fission and fusion to maintain a functional mitochondrial network, which drives cellular metabolism 5. Lysosomes similarly undergo constant dynamic regulation by the RAB7 GTPase 1, which cycles from an active GTP-bound state into an inactive GDP-bound state upon GTP hydrolysis. Here we have identified the formation and regulation of mitochondria–lysosome membrane contact sites using electron microscopy, structured illumination microscopy and high spatial and temporal resolution confocal live cell imaging. Mitochondria–lysosome contacts formed dynamically in healthy untreated cells and were distinct from damaged mitochondria that were targeted into lysosomes for degradation 6,7. Contact formation was promoted by active GTP-bound lysosomal RAB7, and contact untethering was mediated by recruitment of the RAB7 GTPase-activating protein TBC1D15 to mitochondria by FIS1 to drive RAB7 GTP hydrolysis and thereby release contacts. Functionally, lysosomal contacts mark sites of mitochondrial fission, allowing regulation of mitochondrial networks by lysosomes, whereas conversely, mitochondrial contacts regulate lysosomal RAB7 hydrolysis via TBC1D15. Mitochondria–lysosome contacts thus allow bidirectional regulation of mitochondrial and lysosomal dynamics, and may explain the dysfunction observed in both organelles in various human diseases.

The discovery of genetic forms of Parkinson’s disease (PD) has highlighted the importance of the autophagy/lysosomal and mitochondrial/oxidative stress pathways in disease pathogenesis. However, recently identified PD-linked genes, including DNAJC6 (auxilin), SYNJ1 (synaptojanin 1), and the PD risk gene SH3GL2 (endophilin A1), have also highlighted disruptions in synaptic vesicle endocytosis (SVE) as a significant contributor to disease pathogenesis. Additionally, the roles of other PD genes such as LRRK2, PRKN, and VPS35 in the regulation of SVE are beginning to emerge. Here we discuss the recent work on the contribution of dysfunctional SVE to midbrain dopaminergic neurons’ selective vulnerability and highlight pathways that demonstrate the interplay of synaptic, mitochondrial, and lysosomal dysfunction in the pathogenesis of PD.

The post-mortem brains of individuals with Parkinson’s disease (PD) and other synucleinopathy disorders are characterized by the presence of aggregated forms of the presynaptic protein α-synuclein (aSyn). Understanding the molecular mechanism of aSyn aggregation is essential for the development of neuroprotective strategies to treat these diseases. In this study, we examined how interactions between aSyn and phospholipid vesicles influence the protein’s aggregation and toxicity to dopaminergic neurons. Two-dimensional NMR data revealed that two familial aSyn mutants, A30P and G51D, populated an exposed, membrane-bound conformer in which the central hydrophobic region was dissociated from the bilayer to a greater extent than in the case of wild-type aSyn. A30P and G51D had a greater propensity to undergo membrane-induced aggregation and elicited greater toxicity to primary dopaminergic neurons compared to the wild-type protein. In contrast, the non-familial aSyn mutant A29E exhibited a weak propensity to aggregate in the presence of phospholipid vesicles or to elicit neurotoxicity, despite adopting a relatively exposed membrane-bound conformation. Our findings suggest that the aggregation of exposed, membrane-bound aSyn conformers plays a key role in the protein’s neurotoxicity in PD and other synucleinopathy disorders.

Mutations in LRRK2 and GBA1 are common genetic risk factors for Parkinson’s disease (PD) and major efforts are underway to develop new therapeutics that target LRRK2 or glucocerebrosidase (GCase). Here we describe a mechanistic and therapeutic convergence of LRRK2 and GCase in neurons derived from patients with PD. We find that GCase activity was reduced in dopaminergic (DA) neurons derived from PD patients with LRRK2 mutations. Inhibition of LRRK2 kinase activity results in increased GCase activity in DA neurons with either LRRK2 or GBA1 mutations. This increase is sufficient to partially rescue accumulation of oxidized dopamine and alpha-synuclein in PD patient neurons. We have identified the LRRK2 substrate Rab10 as a key mediator of LRRK2 regulation of GCase activity. Together, these results suggest an important role of mutant LRRK2 as a negative regulator of lysosomal GCase activity.

The aggregation of a-synuclein (a-Syn) is linked to Parkinson's disease. The mechanism of early aggregation steps and the effect of pathogenic single-point mutations remain elusive. We report here a single-molecule fluorescence study of a-Syn dimerization and the effect of mutations. Specific interactions between tethered fluorophore-free a-Syn monomers on a substrate and fluorophore-labeled monomers diffusing freely in solution were observed using total internal reflection fluorescence microscopy. The results showed that wild-type (WT) a-Syn dimers adopt two types of dimers. The lifetimes of type 1 and type 2 dimers were determined to be 197 5 3 ms and 3334 5 145 ms, respectively. All three of the mutations used, A30P, E46K, and A53T, increased the lifetime of type 1 dimer and enhanced the relative population of type 2 dimer, with type 1 dimer constituting the major fraction. The kinetic stability of type 1 dimers (expressed in terms of lifetime) followed the order A30P (693 5 14 ms) > E46K (292 5 5 ms) > A53T (226 5 6 ms) > WT (197 5 3 ms). Type 2 dimers, which are more stable, had lifetimes in the range of several seconds. The strongest effect, observed for the A30P mutant, resulted in a lifetime 3.5 times higher than observed for the WT type 1 dimer. This mutation also doubled the relative fraction of type 2 dimer. These data show that single-point mutations promote dimerization, and they suggest that the structural heterogeneity of a-Syn dimers could lead to different aggregation pathways.