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Ataxia-ocular apraxia 2 (AOA2) was recently identified as a new autosomal recessive ataxia. We have now identified causative mutations in 15 families, which allows us to clinically define this entity by onset between 10 and 22 years, cerebellar atrophy, axonal sensorimotor neuropathy, oculomotor apraxia and elevated alpha-fetoprotein (AFP). Ten of the fifteen mutations cause premature termination of a large DEAxQ-box helicase, the human ortholog of yeast Sen1p, involved in RNA maturation and termination.

Cerebellar ataxias (CAs) represent a heterogeneous group of sporadic or inherited disorders. The clinical spectrum of CAs is continuously expanding. Our understanding of the mechanisms leading to the clinical deficits has improved over these last decades, in particular thanks to progress in genetics, neuroimaging and the advent of relevant animal models allowing the identification of the pathophysiological pathways leading to CAs. The rationale behind treatments is now established for most of the CAs encountered during daily practice worldwide. In this update, we will discuss the symptomatic, physical and occupational therapies now being trialled along with individualized exercises, and present key emerging issues on immune-mediated cerebellar ataxias, hereditary cerebellar ataxias. Finally, we will discuss novel therapeutic approaches, including cerebellar non-invasive stimulation and treatments acting on RNA/proteins. So far, no state-of-the art randomized placebo-controlled clinical trial has shown a convincing clinically relevant efficacy of any drug, with the exception of 4-aminopyridine for the symptomatic treatment of episodic ataxia type 2 and downbeat nystagmus (placebo-controlled trials).

In this study, a large repeat expansion in a noncoding part of FGF14 was found to cause late-onset cerebellar ataxia, which underscores the importance of noncoding regions in the search for causes of disease.

This narrative review aims at providing an update on the management of inherited cerebellar ataxias (ICAs), describing main clinical entities, genetic analysis strategies and recent therapeutic developments. Initial approach facing a patient with cerebellar ataxia requires family medical history, physical examination, exclusions of acquired causes and genetic analysis, including Next-Generation Sequencing (NGS). To guide diagnosis, several algorithms and a new genetic nomenclature for recessive cerebellar ataxias have been proposed. The challenge of NGS analysis is the identification of causative variant, trio analysis being usually the most appropriate option. Public genomic databases as well as pathogenicity prediction software facilitate the interpretation of NGS results. We also report on key clinical points for the diagnosis of the main ICAs, including Friedreich ataxia, CANVAS, polyglutamine spinocerebellar ataxias, Fragile X-associated tremor/ataxia syndrome. Rarer forms should not be neglected because of diagnostic biomarkers availability, disease-modifying treatments, or associated susceptibility to malignancy. Diagnostic difficulties arise from allelic and phenotypic heterogeneity as well as from the possibility for one gene to be associated with both dominant and recessive inheritance. To complicate the phenotype, cerebellar cognitive affective syndrome can be associated with some subtypes of cerebellar ataxia. Lastly, we describe new therapeutic leads: antisense oligonucleotides approach in polyglutamine SCAs and viral gene therapy in Friedreich ataxia. This review provides support for diagnosis, genetic counseling and therapeutic management of ICAs in clinical practice.

Late-onset ataxia is common, often idiopathic, and can result from cerebellar, proprioceptive, or vestibular impairment; when in combination, it is also termed cerebellar ataxia, neuropathy, vestibular areflexia syndrome (CANVAS). We used non-parametric linkage analysis and genome sequencing to identify a biallelic intronic AAGGG repeat expansion in the replication factor C subunit 1 ( RFC1 ) gene as the cause of familial CANVAS and a frequent cause of late-onset ataxia, particularly if sensory neuronopathy and bilateral vestibular areflexia coexist. The expansion, which occurs in the poly(A) tail of an AluSx3 element and differs in both size and nucleotide sequence from the reference (AAAAG) 11 allele, does not affect RFC1 expression in patient peripheral and brain tissue, suggesting no overt loss of function. These data, along with an expansion carrier frequency of 0.7% in Europeans, implies that biallelic AAGGG expansion in RFC1 is a frequent cause of late-onset ataxia. Biallelic expansion of an intronic AAGGG repeat in RFC1 is identified here as a common cause of late-onset ataxia. This expansion occurs in the poly(A) tail of an AluSx3 element and is observed at a carrier frequency of 0.7% in populations of European ancestry.

Autosomal recessive cerebellar ataxia must be considered in any child or young adult with a progressive disorder of gait or balance or with hypotonia or excessive clumsiness. This review presents a practical approach to these neurodegenerative diseases. The autosomal recessive cerebellar ataxias are a group of little known and often neglected diseases that are best understood by following a practical, multidisciplinary approach that focuses on clinical rather than molecular considerations. This review focuses on the main forms in which cerebellar ataxia is a prominent sign. It does not attempt to revisit all of the ataxias of this type. Cerebellar ataxia (from the Greek words “a,” meaning “not,” and “taxis,” meaning “order”) is characterized by an incoordination of movement and unsteadiness (see Video 1, available with the full text of this article at NEJM.org) due to cerebellar dysfunction. . . .

BackgroundIntronic GAA repeat expansions in the fibroblast growth factor 14 gene (FGF14) have recently been identified as a common cause of ataxia with potential phenotypic overlap with RFC1-related cerebellar ataxia, neuropathy and vestibular areflexia syndrome (CANVAS). Our objective was to report on the frequency of intronic FGF14 GAA repeat expansions in patients with an unexplained CANVAS-like phenotype.MethodsWe recruited 45 patients negative for biallelic RFC1 repeat expansions with a combination of cerebellar ataxia plus peripheral neuropathy and/or bilateral vestibulopathy (BVP), and genotyped the FGF14 repeat locus. Phenotypic features of GAA-FGF14-positive versus GAA-FGF14-negative patients were compared.ResultsFrequency of FGF14 GAA repeat expansions was 38% (17/45) in the entire cohort, 38% (5/13) in the subgroup with cerebellar ataxia plus polyneuropathy, 43% (9/21) in the subgroup with cerebellar ataxia plus BVP and 27% (3/11) in patients with all three features. BVP was observed in 75% (12/16) of GAA-FGF14-positive patients. Polyneuropathy was at most mild and of mixed sensorimotor type in six of eight GAA-FGF14-positive patients. Family history of ataxia (59% vs 15%; p=0.007) was significantly more frequent and permanent cerebellar dysarthria (12% vs 54%; p=0.009) significantly less frequent in GAA-FGF14-positive than in GAA-FGF14-negative patients. Age at onset was inversely correlated to the size of the repeat expansion (Pearson’s r, −0.67; R2=0.45; p=0.0031).ConclusionsGAA-FGF14-related disease is a common cause of cerebellar ataxia with polyneuropathy and/or BVP, and should be included in the differential diagnosis of RFC1 CANVAS and disease spectrum.

Biallelic mutations in human XRCC1 are associated with ocular motor apraxia, axonal neuropathy, and progressive cerebellar ataxia. Cerebellar ataxia link to mutant XRCC1 This paper shows that mutated forms of human XRCC1, a scaffold protein involved in DNA single-strand break repair, are associated with ocular motor apraxia, axonal neuropathy, and progressive cerebellar ataxia. In cells from a patient with an XRCC1 −/− mutation, rates of break repair are reduced and the single-strand break sensor protein PARP1 is hyperactivated, resulting in abnormally high levels of cellular ADP-ribose. Genetic deletion of Parp1 in Xrcc1 -defective mice prevents the accumulation of excessive ADP-ribose and rescues the loss of cerebellar neurons and cerebellar ataxia. These findings point to PARP1 as a possible therapeutic target in DNA strand break repair-defective disease. XRCC1 is a molecular scaffold protein that assembles multi-protein complexes involved in DNA single-strand break repair 1 , 2 . Here we show that biallelic mutations in the human XRCC1 gene are associated with ocular motor apraxia, axonal neuropathy, and progressive cerebellar ataxia. Cells from a patient with mutations in XRCC1 exhibited not only reduced rates of single-strand break repair but also elevated levels of protein ADP-ribosylation. This latter phenotype is recapitulated in a related syndrome caused by mutations in the XRCC1 partner protein PNKP 3 , 4 , 5 and implicates hyperactivation of poly(ADP-ribose) polymerase/s as a cause of cerebellar ataxia. Indeed, remarkably, genetic deletion of Parp1 rescued normal cerebellar ADP-ribose levels and reduced the loss of cerebellar neurons and ataxia in Xrcc1 -defective mice, identifying a molecular mechanism by which endogenous single-strand breaks trigger neuropathology. Collectively, these data establish the importance of XRCC1 protein complexes for normal neurological function and identify PARP1 as a therapeutic target in DNA strand break repair-defective disease.

The interpretability of gait analysis studies in people with rare diseases, such as those with primary hereditary cerebellar ataxia (pwCA), is frequently limited by the small sample sizes and unbalanced datasets. The purpose of this study was to assess the effectiveness of data balancing and generative artificial intelligence (AI) algorithms in generating synthetic data reflecting the actual gait abnormalities of pwCA. Gait data of 30 pwCA (age: 51.6 ± 12.2 years; 13 females, 17 males) and 100 healthy subjects (age: 57.1 ± 10.4; 60 females, 40 males) were collected at the lumbar level with an inertial measurement unit. Subsampling, oversampling, synthetic minority oversampling, generative adversarial networks, and conditional tabular generative adversarial networks (ctGAN) were applied to generate datasets to be input to a random forest classifier. Consistency and explainability metrics were also calculated to assess the coherence of the generated dataset with known gait abnormalities of pwCA. ctGAN significantly improved the classification performance compared with the original dataset and traditional data augmentation methods. ctGAN are effective methods for balancing tabular datasets from populations with rare diseases, owing to their ability to improve diagnostic models with consistent explainability.