Author
Maria Lieto
Other affiliations: University of Oxford
Bio: Maria Lieto is an academic researcher from University of Naples Federico II. The author has contributed to research in topics: Ataxia & Parkinsonism. The author has an hindex of 9, co-authored 29 publications receiving 218 citations. Previous affiliations of Maria Lieto include University of Oxford.
Papers
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University of Pisa1, Sapienza University of Rome2, University of Siena3, University of Naples Federico II4, The Catholic University of America5, University of Trieste6, Istituto Giannina Gaslini7, University of Bologna8, University of Florence9, Catholic University of the Sacred Heart10, University of São Paulo11, University of Genoa12, University of Messina13, University of Padua14, Boston Children's Hospital15, National and Kapodistrian University of Athens16
TL;DR: This study is among the largest screenings of consecutive HSP index cases enrolled in real-life clinical-diagnostic settings, and its results corroborate NGS as a modern, first-step procedure for molecular diagnosis of HSP.
Abstract: Hereditary spastic paraplegia (HSP) refers to a group of genetically heterogeneous neurodegenerative motor neuron disorders characterized by progressive age-dependent loss of corticospinal motor tract function, lower limb spasticity, and weakness. Recent clinical use of next generation sequencing (NGS) methodologies suggests that they facilitate the diagnostic approach to HSP, but the power of NGS as a first-tier diagnostic procedure is unclear. The larger-than-expected genetic heterogeneity-there are over 80 potential disease-associated genes-and frequent overlap with other clinical conditions affecting the motor system make a molecular diagnosis in HSP cumbersome and time consuming. In a single-center, cross-sectional study, spanning 4 years, 239 subjects with a clinical diagnosis of HSP underwent molecular screening of a large set of genes, using two different customized NGS panels. The latest version of our targeted sequencing panel (SpastiSure3.0) comprises 118 genes known to be associated with HSP. Using an in-house validated bioinformatics pipeline and several in silico tools to predict mutation pathogenicity, we obtained a positive diagnostic yield of 29% (70/239), whereas variants of unknown significance (VUS) were found in 86 patients (36%), and 83 cases remained unsolved. This study is among the largest screenings of consecutive HSP index cases enrolled in real-life clinical-diagnostic settings. Its results corroborate NGS as a modern, first-step procedure for molecular diagnosis of HSP. It also disclosed a significant number of new mutations in ultra-rare genes, expanding the clinical spectrum, and genetic landscape of HSP, at least in Italy.
55 citations
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TL;DR: The similarity of the described clinical picture with that of SCAR16, an autosomal recessive ataxia caused by biallelic mutations in the same gene, and of spinocerebellar ataxIA type 17, which is considered the main Huntington's disease-like syndrome is emphasized.
43 citations
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TL;DR: Heterozygous mutations in the STUB1 gene have recently been associated with an autosomal dominant form of spinocerebellar ataxia associated with cerebellar cognitive‐affective syndrome (CCAS), named SCA48.
Abstract: Background and purpose Heterozygous mutations in the STUB1 gene have recently been associated with an autosomal dominant form of spinocerebellar ataxia (SCA) associated with cerebellar cognitive-affective syndrome (CCAS), named SCA48. Methods Molecular screening was performed in a cohort of 235 unrelated patients with adult-onset, autosomal dominant (17) or sporadic (218) cerebellar ataxia, negative for pathological trinucleotide expansions in the common SCAs, FRDA and FXTAS loci, by using targeted multigene panels or whole-exome sequencing. Bioinformatics analyses, detailed neurological phenotyping and family segregation studies corroborated the pathogenicity of the novel STUB1 mutations. Clinico-diagnostic findings were reviewed to define the phenotypic spectrum. Results Eight heterozygous STUB1 mutations were identified, six of which were novel in 11 patients from eight index families, giving an estimated overall frequency of 3.4% (8/235) for SCA48 in our study cohort, rising to 23.5% (4/17) when considering only familial cases. All our SCA48 patients had cerebellar ataxia and dysarthria associated with cerebellar atrophy on brain magnetic resonance imaging; of note, many cases were also associated with parkinsonism, chorea and dystonia. CCAS also occurred frequently, whereas definite signs of pyramidal tract dysfunction and peripheral nervous system involvement were absent. One SCA48 patient presented with hypogonadism, associated with other autoimmune endocrine dysfunctions. Conclusions Our results support SCA48 as a significant cause of adult-onset SCA. Besides CCAS, our SCA48 patients often showed movement disorders and other clinical manifestations previously described in SCAR16, linked to biallelic variants in the same gene, thus suggesting a continuous clinical spectrum and significant overlap amongst recessive and dominantly inherited mutations in STUB1.
40 citations
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TL;DR: The diagnosis of sporadic adult onset ataxia is a challenging task since a large collection of hereditary and non-hereditary disorders should be taken into consideration.
Abstract: The diagnosis of sporadic adult onset ataxia is a challenging task since a large collection of hereditary and non-hereditary disorders should be taken into consideration. Sporadic adult onset ataxias include degenerative non-hereditary, hereditary, and acquired ataxias. Multiple system atrophy and idiopathic late cerebellar ataxia are degenerative non-hereditary ataxias. Late-onset Friedreich's ataxia, spinocerebellar ataxia type 6 and 2, and fragile X-associated tremor/ataxia syndrome account for most sporadic hereditary ataxias. Alcoholic cerebellar degeneration, paraneoplastic and other autoimmune cerebellar degeneration, vitamin deficiencies, and toxic-induced and infectious cerebellar syndrome are the main causes of acquired cerebellar degeneration. The diagnostic approach should include a history taking, disease progression, general and neurological examination, brain MRI, and laboratory and genetic tests. Novel opportunities in massive gene sequencing will increase the likelihood to define true etiologies.
25 citations
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TL;DR: Spinocerebellar ataxia type 2 (SCA2) is among the most common forms of autosomal dominant ataxias, accounting for 15% of the total families, and occurrence is higher in specific populations such as the Cuban and Southern Italian.
Abstract: Spinocerebellar ataxia type 2 (SCA2) is among the most common forms of autosomal dominant ataxias, accounting for 15% of the total families. Occurrence is higher in specific populations such as the Cuban and Southern Italian. The disease is caused by a CAG expansion in ATXN2 gene, leading to abnormal accumulation of the mutant protein, ataxin-2, in intracellular inclusions. The clinical picture is mainly dominated by cerebellar ataxia, although a number of other neurological signs have been described, ranging from parkinsonism to motor neuron involvement, making the diagnosis frequently challenging for neurologists, particularly when information about the family history is not available. Although the functions of ataxin-2 have not been completely elucidated, the protein is involved in mRNA processing and control of translation. Recently, it has also been shown that the size of the CAG repeat in normal alleles represents a risk factor for ALS, suggesting that ataxin-2 plays a fundamental role in maintenance of neuronal homeostasis.
24 citations
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TL;DR: The International Parkinson and Movement Disorder Society (MDS) Clinical Diagnostic Criteria for Parkinson9s disease as discussed by the authors have been proposed for clinical diagnosis, which are intended for use in clinical research, but may also be used to guide clinical diagnosis.
Abstract: Objective
To present the International Parkinson and Movement Disorder Society (MDS) Clinical Diagnostic Criteria for Parkinson9s disease.
Background
Although several diagnostic criteria for Parkinson9s disease have been proposed, none have been officially adopted by an official Parkinson society. Moreover, the commonest-used criteria, the UK brain bank, were created more than 25 years ago. In recognition of the lack of standard criteria, the MDS initiated a task force to design new diagnostic criteria for clinical Parkinson9s disease.
Methods/Results
The MDS-PD Criteria are intended for use in clinical research, but may also be used to guide clinical diagnosis. The benchmark is expert clinical diagnosis; the criteria aim to systematize the diagnostic process, to make it reproducible across centers and applicable by clinicians with less expertise. Although motor abnormalities remain central, there is increasing recognition of non-motor manifestations; these are incorporated into both the current criteria and particularly into separate criteria for prodromal PD. Similar to previous criteria, the MDS-PD Criteria retain motor parkinsonism as the core disease feature, defined as bradykinesia plus rest tremor and/or rigidity. Explicit instructions for defining these cardinal features are included. After documentation of parkinsonism, determination of PD as the cause of parkinsonism relies upon three categories of diagnostic features; absolute exclusion criteria (which rule out PD), red flags (which must be counterbalanced by additional supportive criteria to allow diagnosis of PD), and supportive criteria (positive features that increase confidence of PD diagnosis). Two levels of certainty are delineated: Clinically-established PD (maximizing specificity at the expense of reduced sensitivity), and Probable PD (which balances sensitivity and specificity).
Conclusion
The MDS criteria retain elements proven valuable in previous criteria and omit aspects that are no longer justified, thereby encapsulating diagnosis according to current knowledge. As understanding of PD expands, criteria will need continuous revision to accommodate these advances. Disclosure: Dr. Postuma has received personal compensation for activities with Roche Diagnostics Corporation and Biotie Therapies. Dr. Berg has received research support from Michael J. Fox Foundation, the Bundesministerium fur Bildung und Forschung (BMBF), the German Parkinson Association and Novartis GmbH.
1,655 citations
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TL;DR: Heterogeneity of conditions that underlie DRD frequently leads to misdiagnosis, which delays the appropriate treatment with levodopa, and the most appropriate approaches to ensure early diagnosis and treatment are considered.
Abstract: Dopa-responsive dystonia (DRD) encompasses a group of clinically and genetically heterogeneous disorders that typically manifest as limb-onset, diurnally fluctuating dystonia and exhibit a robust and sustained response to levodopa treatment. Autosomal dominant GTP cyclohydrolase 1 deficiency, also known as Segawa disease, is the most common and best-characterized condition that manifests as DRD, but a similar presentation can be seen with genetic abnormalities that lead to deficiencies in tyrosine hydroxylase, sepiapterin reductase or other enzymes that are involved in the biosynthesis of dopamine. In rare cases, DRD can result from conditions that do not affect the biosynthesis of dopamine; single case reports have shown that DRD can be a manifestation of hereditary spastic paraplegia type 11, spinocerebellar ataxia type 3 and ataxia telangiectasia. This heterogeneity of conditions that underlie DRD frequently leads to misdiagnosis, which delays the appropriate treatment with levodopa. Correct diagnosis at an early stage requires use of the appropriate diagnostic tests, which include a levodopa trial, genetic testing (including whole-exome sequencing), cerebrospinal fluid neurotransmitter analysis, the phenylalanine loading test, and enzyme activity measurements. The selection of tests for use depends on the clinical presentation and level of complexity. This Review presents the common and rarer causes of DRD and their clinical features, and considers the most appropriate approaches to ensure early diagnosis and treatment.
183 citations
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TL;DR: A comprehensive computer model is presented for the diagnosis of PD based on motor, non-motor, and neuroimaging features using the recently-developed enhanced probabilistic neural network (EPNN).
Abstract: Early and accurate diagnosis of Parkinson's disease (PD) remains challenging. Neuropathological studies using brain bank specimens have estimated that a large percentages of clinical diagnoses of PD may be incorrect especially in the early stages. In this paper, a comprehensive computer model is presented for the diagnosis of PD based on motor, non-motor, and neuroimaging features using the recently-developed enhanced probabilistic neural network (EPNN). The model is tested for differentiating PD patients from those with scans without evidence of dopaminergic deficit (SWEDDs) using the Parkinson's Progression Markers Initiative (PPMI) database, an observational, multi-center study designed to identify PD biomarkers for diagnosis and disease progression. The results are compared to four other commonly-used machine learning algorithms: the probabilistic neural network (PNN), support vector machine (SVM), k-nearest neighbors (k-NN) algorithm, and classification tree (CT). The EPNN had the highest classification accuracy at 92.5 % followed by the PNN (91.6 %), k-NN (90.8 %) and CT (90.2 %). The EPNN exhibited an accuracy of 98.6 % when classifying healthy control (HC) versus PD, higher than any previous studies.
134 citations
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TL;DR: It becomes clear from this systematic review that while most ‘SWEDD’ cases are due to a clinical misdiagnosis of PD, there exists a small proportion of patients with SWEDD who may have PD on the basis of a positive levodopa response, clinical progression, imaging and/or genetic evidence.
Abstract: The term SWEDD (scans without evidence for dopaminergic deficit) refers to the absence, rather than the presence, of an imaging abnormality in patients clinically presumed to have Parkinson's disease (PD). However, such a term has since been widely used in the medical literature, even as a diagnostic label. While many authors have suggested that different disorders of PD lookalikes may account for a proportion of SWEDD cases, others have claimed that some of them may have a benign subtype of PD. Thus, there has been ensuing controversy and confusion and the use of this term continues without clarity of what it represents. We have systematically reviewed all the studies involving patients with SWEDD with the aim of shedding light on what these patients actually have. It becomes clear from this systematic review that while most 'SWEDD' cases are due to a clinical misdiagnosis of PD, there exists a small proportion of patients with SWEDD who may have PD on the basis of a positive levodopa response, clinical progression, imaging and/or genetic evidence. The latter challenge the seemingly incontrovertible relationship between dopaminergic tracer binding and the diagnosis of nigrostriatal parkinsonism, particularly PD. Patients with SWEDD are unlikely to reflect a single clinical entity and we suggest that the term SWEDD should be abandoned.
124 citations