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Biology subjects

Chiti, F.

Publications and source records attributed to Chiti, F..

3 recordsLinked to original sources

Corticospinal propagation of full-length TDP-43 toxicity drives brain-to-muscle pathology

Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disorder characterized by progressive degeneration of upper and lower motor neurons. Cytoplasmic inclusions containing TAR DNA-binding protein 43 (TDP-43), a key regulator of RNA metabolism, represent a pathological hallmark of all sporadic (sALS) and most familial (fALS) forms, underscoring its central role in disease pathophysiology. In affected neurons, full-length (FL) TDP-43 undergoes nuclear-to-cytoplasmic mislocalization, leading to aggregation and cellular dysfunction, and can be released to propagate pathology across neural and non-neural circuits. However, the in vivo toxicity and spreading capacity of FL TDP-43 remain poorly defined. Here, we show that purified, stable human FL TDP-43 was readily internalized by neuronal cells, where it induced aggregation and significantly reduced cell viability. In vivo, an acute unilateral stereotaxic infusion of FL TDP-43 into the rat primary motor cortex was sufficient to trigger a robust centrifugal propagation of pathology along the corticospinal axis and beyond the central nervous system (CNS). TDP-43 pathology spread from the motor cortex to the spinal cord and reached skeletal muscle. At the cellular level, propagated pathology was characterized by intraneuronal phosphorylated TDP-43 (pTDP-43) inclusions, accumulation of high-molecular-weight TDP-43 species, region-specific neurodegeneration, and pronounced mitochondrial vulnerability. Notably, skeletal muscle displayed impaired mitochondrial bioenergetics, accompanied by both motor and non-motor behavioral deficits. Collectively, our findings demonstrate neuron-to-neuron, brain-to-spinal cord and brain-to-muscle spreading of FL TDP-43 toxicity in vivo, establishing a mechanistic link between central TDP-43 pathology and peripheral dysfunction. This work identifies FL TDP-43 as an active driver of disease spreading in ALS and provides the basis for a non-transgenic, TDP-43-driven rat model of disease propagation.

neuroscience↗

Engineering a Dimeric Single-Domain Antibody for Improved Detection and neutralization of Amyloid-β oligomers

Soluble A{beta} oligomers are regarded as major neurotoxic agents in Alzheimers disease. Several monoclonal antibodies have been developed to target A{beta} oligomers, but most of them show limited specificity binding also to monomers and fibrils. To generate an antibody with high specificity for the oligomers, we aimed to increase the efficiency and sensitivity of a humanized A{beta}-oligomer-specific single domain antibody, called DesAb-O. We engineered a dimeric DesAb-O variant, DiDesAb-O, which showed a significantly improved binding properties for A{beta} oligomers as compared to the monomeric sdAb. Furthermore, DiDesAb-O detected A{beta}42 oligomers in cells, prevented their binding to cell membranes and the A{beta}42 oligomers-induced neurotoxicity from both synthetic A{beta}42 samples and cerebrospinal fluid of Alzheimers patients at lower concentrations compared to DesAb-O. Overall, our findings indicate that the rational engineering of dimeric sdAb variants is an effective strategy to improve their binding properties offering new opportunities for the development of clinical molecules in the early diagnosis and cure of Alzheimers disease. Significance StatementProtein aggregates, characterized by high structural heterogeneity, are central to numerous neurodegenerative diseases, yet the development of aggregate-specific molecular probes and therapeutic agents remains a significant challenge. We present a novel approach to enhance the binding of single-domain antibodies by engineering multivalent, specifically dimeric, molecules to exploit the avidity effect. As a proof of concept, we developed a dimeric version of a previously studied single-domain antibody named DesAb-O, which exhibits enhanced binding sensitivity and specificity to toxic amyloid-{beta} oligomers and greater efficacy in inhibiting their toxicity. These findings provide a robust foundation for creating next-generation antibody fragments with enhanced binding to heterogeneous protein aggregates, opening new avenues for innovative diagnostic tools and therapeutic strategies in neurodegenerative disease research and treatment.

biochemistry↗

Leveraging Machine Learning-Guided Molecular Simulations Coupled with Experimental Data to Decipher Membrane Binding Mechanisms of Aminosterols

Understanding the molecular mechanisms of the interactions between specific compounds and cellular membranes is essential for numerous biotechnological applications, including targeted drug delivery, elucidation of drug mechanism of action, pathogen identification, and novel antibiotic development. However, the estimation of the free energy landscape associated with solute binding to realistic biological systems is still a challenging task. In this work, we leverage the Time-lagged Independent Component Analysis (TICA) in combination with neural networks (NN) through the Deep-TICA approach for determining the free energy associated with the membrane insertion processes of two natural aminosterol compounds, trodusquemine (TRO) and squalamine (SQ). These compounds are particularly noteworthy because they interact with the outer layer of neuron membranes protecting them from the toxic action of misfolded proteins involved in neurodegenerative disorders, both in their monomeric and oligomeric forms. We demonstrate how this strategy could be used to generate an effective collective variable for describing solute absorption in the membrane and for estimating free energy landscape of translocation via On-the-fly probability enhanced sampling (OPES) method. In this context, the computational protocol allowed an exhaustive characterization of the aminosterols entry pathway into a neuron-like lipid bilayer. Furthermore, it provided accurate prediction of membrane binding affinities, in close agreement with the experimental binding data obtained by using fluorescently-labelled aminosterols and large unilamellar vesicles (LUVs). The findings contribute significantly to our comprehension of aminosterol entry pathways and aminosterol-lipid membrane interactions. Finally, the deployed computational methods in this study further demonstrate considerable potential for investigating membrane binding processes.

biophysics↗