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Zampedri, L.

Publications and source records attributed to Zampedri, L..

3 recordsLinked to original sources

TDP-43 pathology induces CD8+ T cell activation through cryptic epitope recognition

Aggregation and nuclear depletion of the RNA binding protein TDP-43 are the crucial pathological features of amyotrophic lateral sclerosis (ALS) and inclusion body myositis (IBM), two degenerative diseases of the CNS and muscle. The loss of TDP-43 nuclear function results in the aberrant inclusion of cryptic exons in mRNA transcripts, leading to the expression of de novo proteins. Clonally expanded and highly differentiated CD8+ T cells have been observed in individuals with TDP-43 proteinopathies and therapeutics modulating the T cell response have recently been found to extend survival. However, the target antigens mediating T cell activation have remained elusive. Here, we investigate whether the de novo proteins induced by aberrant cryptic splicing due to TDP-43 nuclear loss can act as neo-antigens. We detect the HDGFL2 cryptic peptide and multiple other TDP-43 cryptic exons in IBM skeletal muscle, where their presence correlates with enrichment of T cells and class I antigen presentation pathways. Furthermore, we identify epitopes deriving from HDGFL2 and IGLON5 cryptic peptides which are recognized by clonally expanded and functionally differentiated populations of CD8+ T cells in ALS and IBM Patients. Finally, we demonstrate that T cells engineered to express the identified TCRs can bind and activate in response to the cryptic peptide derived epitopes (cryptic epitopes) and are able to kill TDP-43 deficient astrocytes. This work identifies for the first time specific T cell antigens in ALS and IBM, directly linking adaptive immune response to TDP-43 pathology.

immunology↗

Plasma pNfH differentiate SBMA from ALS

Background and aimSpinal bulbar muscular atrophy (SBMA) is a progressive adult-onset X-linked neuromuscular disease. Although traditionally considered a motor neuron disorder, recent advances have highlighted a primary myopathic component. We evaluated levels of phosphorylated neurofilament heavy chain (pNfH), a known biomarker for neurodegeneration, in SBMA. Materials and methodsWe collected plasma and serum from 46 SBMA, 50 ALS and 50 healthy control cases, alongside with plasma from a mouse model of SBMA (AR100) and littermate controls. We measured pNfH plasma levels using Single molecule array (Simoa), we assessed functional scales and we gathered demographic data. We analysed data using Mann-Whitney U test, Kruskal-Wallis test and Cox regression analysis. ResultsPlasma pNfH levels were significantly increased in ALS, but, intriguingly, there was no change in SBMA. These results were also confirmed in SBMA mice. The ROC curve highlighted that pNfH levels can effectively distinguish between ALS and SBMA (AUC 0.95). ConclusionsUnexpectedly, levels of pNfH are normal in SBMA, whilst they are increased in ALS, and suggest pNfH could serve as a biomarker to differentiate the two diseases. Further, this finding is in agreement with recent evidence showing that primary muscle damage is a crucial feature in SBMA.

neuroscience↗

Skeletal muscle MRI differentiates SBMA and ALS and correlates with disease severity

ObjectiveTo investigate the use of muscle MRI for the differential diagnosis and as a disease progression biomarker for two major forms of motor neuron disorders, spinal bulbar muscular atrophy (SBMA) and amyotrophic lateral sclerosis (ALS).\n\nMethodsWe applied quantitative 3-point Dixon and semi-quantitative T1-weighted and STIR imaging to bulbar and lower limb muscles and performed clinical and functional assessments in ALS (n=21) and SBMA (n=21) patients, alongside healthy controls (n=16). Acquired images were analyzed for the presence of fat infiltration or edema as well as specific patterns of muscle involvement. Quantitative MRI measurements were correlated with clinical parameters of disease severity in ALS and SBMA.\n\nResultsQuantitative imaging revealed significant fat infiltration in bulbar (p<0.001) and limb muscles in SBMA compared to controls (thigh: p<0.001; calf: p=0.001), identifying a characteristic pattern of muscle involvement. In ALS, semi-quantitative STIR imaging detected marked hyperintensities in lower limb muscles, distinguishing ALS from SBMA and controls. Lastly, MRI measurements correlated significantly with clinical scales of disease severity in both ALS and SBMA.\n\nConclusionsOur findings show that muscle MRI differentiates between SBMA and ALS and correlates with disease severity, supporting its use as a diagnostic tool and biomarker for disease progression. This highlights the clinical utility of muscle MRI in motor neuron disorders and contributes to establish objective outcome measures, which is crucial for the development of new drugs.

neuroscience↗