Biology subjects

Giusto, E.

Publications and source records attributed to Giusto, E..

7 recordsLinked to original sources

bioRxiv2026

Parkinson disease-associated protein DJ-1 regulates the autophagic-lysosomal pathway through ROS-dependent modulation of the AMPK/mTORC1 axis.

Mutations in the protein DJ-1 are linked to familial forms of Parkinsons disease (PD). The protein has been well-documented to exert a role in energy metabolism and antioxidant defense, contributing to the maintenance of mitochondrial homeostasis. We and others have previously observed that DJ-1 can also influence autophagy, but the mechanisms are still incompletely defined. In this study, using complementary cellular and animal models, we characterize the impact of DJ-1 loss on the autophagic pathway. Our data demonstrate that DJ-1 deficiency impairs autophagosome-lysosome fusion and lysosomal degradation, resulting in the accumulation of dysfunctional autolysosomes and the subsequent buildup of autophagic substrates. Mechanistically, we show that elevated reactive oxygen species (ROS) in DJ-1-null models inhibit the energy-sensing AMP-activated protein kinase (AMPK), thereby activating the autophagy suppressor mechanistic target of rapamycin 1 (mTORC1). Collectively, these findings delineate a novel signaling axis linking oxidative stress to autophagic dysfunction, providing new insights into the cellular mechanisms underlying autophagic dysfunction in PD.

cell biology↗

bioRxiv2025

SPROUTS_DB: an implemented database of contaminants for extracellular vesicle proteomics studies

BackgroundCurrent proteomics techniques allow rapid identification and quantification of proteins within any given biological source. In particular, nanoUHPLC/High-Resolution nanoESI-MS/MS enables the characterization of proteins in complex biological samples due to its high sensitivity, accuracy, and scalability. However, LC-MS/MS proteomics might still be susceptible to laboratory and sample-associated contaminants, which can significantly compromise the quality and reliability of data. Therefore, an accurate identification and annotation of such contaminants is crucial for the development of robust proteomics databases and spectral-libraries related search engines. This approach is of special interest in the field of secretome and extracellular vesicles (EVs), membrane-enclosed nanostructures that contain a variety of proteins crucial for cell-to-cell communication and translational applications. ResultsWhen working in ex vivo/in vitro settings, proteins from fetal bovine serum (FBS), commonly employed in standard cell culture media, may interfere with the proteome analysis. To address this issue, we conceived and designed SPROUTS_DB, Serum Protein Repository Of Unwanted Target(ed) Sequences DataBase, a dedicated resource to catalog serum-derived contaminants. Starting from media supplemented with EV-depleted FBS, we simulated cell growth conditions - in the absence of cells - followed by ultracentrifugation. LC-MS/MS analysis of these samples resulted in the identification of a novel set of 1,288 contaminant proteins, which has been deposited in the ProteomeXchange repository (identifier PXD044137). SPROUTS_DB contains primarily soluble proteins, mainly related to the Gene Ontology categories Extracellular Region and Extracellular Space, in line with the nature of the starting sample. In contrast, only a small fraction of the contaminants is classified as membrane-associated proteins, supporting the limited vesicle contamination in the complete medium, due to the use of EV-depleted FBS. Of note, we demonstrated that SPROUTS_DB outperforms existing contaminants databases, ensuring that only peptide spectra relevant to the examined sample are retained and identified as true positive data. ConclusionsConsidering that even proteins from phylogenetically distant organisms share extensive stretches of sequences, SPROUTS_DB is designed to discern contaminants from real sample proteins of interest, minimizing false positive identifications. To the best of our knowledge, SPROUTS_DB is the most updated database of contaminants useful for proteomics investigations of cellular secretomes and EV-containing samples.

cell biology↗

bioRxiv2024

Atypical chemokine receptor 3 regulates synaptic removal in disease astrocytes

Astrocytes participate in the clearance of obsolete or unwanted neuronal synapses. However, the molecular machinery involved in recognizing these synapses remains unclear, particularly under pathological conditions. Here, we investigated the phagocytic process of astrocytes through individual gene silencing with a druggable gene library. Our study demonstrates that astrocyte- mediated synapse engulfment is regulated by the Atypical chemokine receptor 3 (Ackr3). Mechanistically, we showed that Ackr3 recognizes phosphatidylethanolamine (PE)-bound C-X-C motif chemokine 12 (CXCL12) at synaptic terminals both in vitro and in vivo, thus serving as a novel marker of synaptic dysfunction. Notably, both the receptor and its ligand are upregulated in post- mortem human Alzheimers disease (AD) brains, and AD mouse models. Downregulation of the Ackr3 in AD mice significantly diminishes astrocyte-mediated synaptic elimination, and rescues pathological phenotypes, including synapse loss and cognitive impairment. Overall, this work unveils a novel, possibly targetable mechanism of astrocyte-mediated synaptic engulfment implicated in neurodegenerative disease.

neuroscience↗

bioRxiv2024

PAK6 rescues pathogenic LRRK2-mediated ciliogenesis and centrosomal cohesion defects in a mutation-specific manner

P21 activated kinase 6 (PAK6) is a serine-threonine kinase with physiological expression enriched in the brain and overexpressed in a number of human tumors. While the role of PAK6 in cancer cells has been extensively investigated, the physiological function of the kinase in the context of brain cells is poorly understood. Our previous work uncovered a link between PAK6 and the Parkinsons disease (PD)-associated kinase LRRK2, with PAK6 controlling LRRK2 activity and subcellular localization via phosphorylation of 14-3-3 proteins. Here, to gain more insights into PAK6 physiological function, we performed protein-protein interaction arrays and identified a subgroup of PAK6 binders related to ciliogenesis. We confirmed that endogenous PAK6 localizes at both the centrosome and the cilium, and positively regulates ciliogenesis not only in tumor cells but also in neurons and astrocytes. Strikingly, PAK6 rescues ciliogenesis and centrosomal cohesion defects associated with the G2019S but not the R1441C LRRK2 PD mutation. Since PAK6 binds LRRK2 via its GTPase/Roc-COR domain and the R1441C mutation is located in the Roc domain, we used microscale thermophoresis and AlphaFold2-based computational analysis to demonstrate that PD mutations in LRRK2 affecting the Roc-COR structure substantially decrease PAK6 affinity, providing a rationale for the differential protective effect of PAK6 toward the distinct forms of mutant LRRK2. Altogether, our study discloses a novel role of PAK6 in ciliogenesis and points to PAK6 as the first LRRK2 modifier with PD mutation-specificity.

neuroscience↗

bioRxiv2023

Prospective role of PAK6 and 14-3-3 gamma as biomarkers for Parkinson's disease

2.BackgroundParkinsons disease is a progressive neurodegenerative disorder mainly distinguished by sporadic aetiology, although a genetic component is also well established. Variants in the LRRK2 gene are associated with both familiar and sporadic disease. We have previously shown that PAK6 and 14-3-3{gamma} protein interact with and regulate the activity of LRRK2. ObjectivesThe aim of this study is to quantify PAK6 and 14-3-3{gamma} in plasma as a reliable biomarker strategy for the diagnosis of both sporadic and LRRK2-linked Parkinsons disease. MethodsAfter an initial quantification of PAK6 and 14-3-3{gamma} expression by means of Western blot in post-mortem human brains, we verified the presence of the two proteins in plasma by using quantitative ELISA tests. We analysed samples obtained from 39 healthy subjects, 40 patients with sporadic Parkinsons disease, 50 LRRK2-G2019S non-manifesting carriers and 31 patients with LRRK2-G2019S Parkinsons disease. ResultsThe amount of PAK6 and 14-3-3{gamma} is significantly different in patients with Parkinsons disease compared to healthy subjects. Moreover, the amount of PAK6 also varies with the presence of the G2019S mutation in the LRRK2 gene. Although the generalized linear models show a low association between the presence of PD and PAK6, the kinase can be added in a broader panel of biomarkers for the diagnosis of Parkinsons disease. ConclusionsChanges of PAK6 and 14-3-3{gamma} amount in plasma represent a shared readout for patients affected by sporadic and LRRK2-linked Parkinsons disease. Overall, they can contribute to the establishment of an extended panel of biomarkers for the diagnosis of Parkinsons disease.

neuroscience↗

bioRxiv2021

Trafficking of the glutamate transporter is impaired in LRRK2-related Parkinson's disease

The Excitatory Amino Acid Transporter 2 (EAAT2) accounts for 80 % of brain glutamate clearance and is mainly expressed in astrocytic perisynaptic processes. EAAT2 function is finely regulated by endocytic events, recycling to the plasma membrane and degradation. Noteworthy, deficits in EAAT2 have been associated with neuronal excitotoxicity and neurodegeneration. In this study, we show that EAAT2 trafficking is impaired by the leucine-rich repeat kinase 2 (LRRK2) pathogenic variant G2019S, a common cause of late-onset familial Parkinsons disease (PD). In LRRK2 G2019S human brains and experimental animal models, EAAT2 protein levels are significantly decreased, which is associated with elevated gliosis. The decreased expression of the transporter correlates with its reduced functionality in mouse LRRK2 G2019S purified astrocytic terminals and in Xenopus laevis oocytes expressing human LRRK2 G2019S. In LRRK2 G2019S knockin mouse brain, the correct surface localization of the endogenous transporter is impaired, resulting in its interaction with a plethora of endo-vesicular proteins. Mechanistically, we report that pathogenic LRRK2 kinase activity delays the recycling of the transporter to the plasma membrane via Rabs inactivation, causing its intracellular relocalization and degradation. Taken together, our results demonstrate that pathogenic LRRK2 interferes with the physiology of EAAT2, pointing to extracellular glutamate overload as a possible contributor to neurodegeneration in PD.

neuroscience↗

bioRxiv2020

Learning a tactile sequence induces selectivity to action decisions and outcomes in the mouse somatosensory cortex

Sequential temporal ordering and patterning are key features of natural signals used by the brain to decode stimuli and perceive them as sensory objects. To explore how cortical neuronal activity underpins sequence recognition, we developed a task in which mice distinguished between tactile words constructed from distinct vibrations delivered to the whiskers, assembled in different orders. Animals licked to report the presence of the target sequence. Mice could respond to the earliest possible cues allowing discrimination, effectively solving the task as a detection of change problem, but enhanced their performance when deliberating for longer. Optogenetic inactivation showed that both primary somatosensory barrel cortex (S1bf) and secondary somatosensory cortex were necessary for sequence recognition. Two-photon imaging of calcium activity in S1bf layer 2/3 revealed that, in well-trained animals, neurons had heterogeneous selectivity to multiple task variables including not just sensory input but also the animals action decision and the trial outcome (presence or absence of a predicted reward). A large proportion of neurons were activated preceding goal-directed licking, thus reflecting the animals learnt response to the target sequence rather than the sequence itself; these neurons were found in S1bf as soon as mice learned to associate the rewarded sequence with licking. In contrast, learning evoked smaller changes in sensory responses: neurons responding to stimulus features were already found in naive mice, and training did not generate neurons with enhanced temporal integration or categorical responses. Therefore, in S1bf sequence learning results in neurons whose activity reflects the learnt association between the target sequence and licking, rather than a refined representation of sensory features.

neuroscience↗