<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.2 20190208//EN" "http://jats.nlm.nih.gov/publishing/1.2/JATS-journalpublishing1.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="review-article" dtd-version="1.2" xml:lang="en">
    <front>
        <journal-meta>
            <journal-id journal-id-type="pmc">F1000Research</journal-id>
            <journal-title-group>
                <journal-title>F1000Research</journal-title>
            </journal-title-group>
            <issn pub-type="epub">2046-1402</issn>
            <publisher>
                <publisher-name>F1000 Research Limited</publisher-name>
                <publisher-loc>London, UK</publisher-loc>
            </publisher>
        </journal-meta>
        <article-meta>
            <article-id pub-id-type="doi">10.12688/f1000research.15788.1</article-id>
            <article-categories>
                <subj-group subj-group-type="heading">
                    <subject>Review</subject>
                </subj-group>
                <subj-group>
                    <subject>Articles</subject>
                </subj-group>
            </article-categories>
            <title-group>
                <article-title>Recent advances in understanding dominant spinocerebellar ataxias from clinical and genetic points of view</article-title>
                <fn-group content-type="pub-status">
                    <fn>
                        <p>[version 1; peer review: 3 approved]</p>
                    </fn>
                </fn-group>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Coarelli</surname>
                        <given-names>Giulia</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Brice</surname>
                        <given-names>Alexis</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a2">2</xref>
                    <xref ref-type="aff" rid="a3">3</xref>
                </contrib>
                <contrib contrib-type="author" corresp="yes">
                    <name>
                        <surname>Durr</surname>
                        <given-names>Alexandra</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="corresp" rid="c1">a</xref>
                    <xref ref-type="aff" rid="a2">2</xref>
                    <xref ref-type="aff" rid="a3">3</xref>
                </contrib>
                <aff id="a1">
                    <label>1</label>Assistance Publique-Ho&#x0302;pitaux de Paris (AP-HP), Department of Neurology, Avicenne Hospital, Paris 13 University, Bobigny, 93000, France</aff>
                <aff id="a2">
                    <label>2</label>Institut du Cerveau et de la Moelle &#x00e9;pini&#x00e8;re, ICM, Inserm U 1127, CNRS UMR 7225, Sorbonne University, Paris, 75013, France</aff>
                <aff id="a3">
                    <label>3</label>Assistance Publique-Ho&#x0302;pitaux de Paris (AP-HP), Genetic department, Piti&#x00e9;-Salp&#x00ea;tri&#x00e8;re University Hospital, Paris, 75013, France</aff>
            </contrib-group>
            <author-notes>
                <corresp id="c1">
                    <label>a</label>
                    <email xlink:href="mailto:alexandra.durr@icm-institute.org">alexandra.durr@icm-institute.org</email>
                </corresp>
                <fn fn-type="conflict">
                    <p>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>12</day>
                <month>11</month>
                <year>2018</year>
            </pub-date>
            <pub-date pub-type="collection">
                <year>2018</year>
            </pub-date>
            <volume>7</volume>
            <elocation-id>F1000 Faculty Rev-1781</elocation-id>
            <history>
                <date date-type="accepted">
                    <day>2</day>
                    <month>11</month>
                    <year>2018</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2018 Coarelli G et al.</copyright-statement>
                <copyright-year>2018</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <self-uri content-type="pdf" xlink:href="https://f1000research.com/articles/7-1781/pdf"/>
            <abstract>
                <p>Spinocerebellar ataxias (SCAs) are rare types of cerebellar ataxia with a dominant mode of inheritance. To date, 47 SCA subtypes have been identified, and the number of genes implicated in SCAs is continually increasing. Polyglutamine (polyQ) expansion diseases (
                    <italic toggle="yes">ATXN1</italic>/SCA1, 
                    <italic toggle="yes">ATXN2</italic>/SCA2, 
                    <italic toggle="yes">ATXN3</italic>/SCA3, 
                    <italic toggle="yes">CACNA1A</italic>/SCA6, 	
                    <italic toggle="yes">ATXN7</italic>/SCA7, 
                    <italic toggle="yes">TBP</italic>/SCA17, and 
                    <italic toggle="yes">ATN1</italic>/DRPLA) are the most common group of SCAs. No preventive or curative treatments are currently available, but various therapeutic approaches, including RNA-targeting treatments, such as antisense oligonucleotides (ASOs), are being developed. Clinical trials of ASOs in SCA patients are already planned. There is, therefore, a need to identify valid outcome measures for such studies. In this review, we describe recent advances towards identifying appropriate biomarkers, which are essential for monitoring disease progression and treatment efficacy. Neuroimaging biomarkers are the most powerful markers identified to date, making it possible to reduce sample sizes for clinical trials. Changes on brain MRI are already evident at the premanifest stage in SCA1 and SCA2 carriers and are correlated with CAG repeat size. Other potential biomarkers have also been developed, based on neurological examination, oculomotor study, cognitive assessment, and blood and cerebrospinal fluid analysis. Longitudinal studies based on multimodal approaches are required to establish the relationships between parameters and to validate the biomarkers identified.</p>
            </abstract>
            <kwd-group kwd-group-type="author">
                <kwd>spinocerebellar ataxias</kwd>
                <kwd>biomarkers</kwd>
                <kwd>antisense oligonucleotides</kwd>
                <kwd>clinical trials</kwd>
                <kwd>neuroimaging</kwd>
            </kwd-group>
            <funding-group>
                <funding-statement>The author(s) declared that no grants were involved in supporting this work.</funding-statement>
            </funding-group>
        </article-meta>
        <notes>
            <sec sec-type="editor-note">
                <title>Editorial Note on the Review Process</title>
                <p>
                    <ext-link ext-link-type="uri" xlink:href="http://f1000research.com/browse/faculty-reviews">F1000 Faculty Reviews</ext-link> are commissioned from members of the prestigious
                    <ext-link ext-link-type="uri" xlink:href="http://f1000.com/prime/thefaculty">F1000 Faculty</ext-link> and are edited as a service to readers. In order to make these reviews as comprehensive and accessible as possible, the referees provide input before publication and only the final, revised version is published. The referees who approved the final version are listed with their names and affiliations but without their reports on earlier versions (any comments will already have been addressed in the published version).</p>
                <p>The referees who approved this article are: </p>
                <list list-content="reviewer-list" list-type="simple">
                    <list-item>
                        <p>
                            <named-content content-type="reviewer-name">Vikram G Shakkottai</named-content>, Department of Neurology, University of Michigan, Ann Arbor, MI, 48109-2200, USA
                            <fn fn-type="conflict">
                                <p>No competing interests were disclosed.</p>
                            </fn>
                        </p>
                    </list-item>
                    <list-item>
                        <p>
                            <named-content content-type="reviewer-name">Bing-wen Soong</named-content>, Department of Neurology, Shuang Ho Hospital, Taipei Medical University, Taipei, Taiwan
                            <fn fn-type="conflict">
                                <p>No competing interests were disclosed.</p>
                            </fn>
                        </p>
                    </list-item>
                    <list-item>
                        <p>
                            <named-content content-type="reviewer-name">Harry Orr</named-content>, Institute for Translational Neuroscience, University of Minnesota, Minneapolis, Minnesota, 55455, USA
                            <fn fn-type="conflict">
                                <p>No competing interests were disclosed.</p>
                            </fn>
                        </p>
                    </list-item>
                </list>
            </sec>
        </notes>
    </front>
    <body>
        <sec sec-type="intro">
            <title>Introduction</title>
            <p>Spinocerebellar ataxias (SCAs) are a group of neurodegenerative diseases displaying autosomal dominant inheritance. To date, 47 SCA subtypes have been described, and 35 causal genes have been identified
                <sup>
                    <xref ref-type="bibr" rid="ref-1">1</xref>
                </sup>. SCAs are considered a rare group of cerebellar ataxias, with a mean prevalence of 2.7/100,000
                <sup>
                    <xref ref-type="bibr" rid="ref-2">2</xref>
                </sup>. Their most frequent forms are polyglutamine (polyQ) expansion diseases (
                <italic toggle="yes">ATXN1</italic>/SCA1, 
                <italic toggle="yes">ATXN2</italic>/SCA2, 
                <italic toggle="yes">ATXN3</italic>/SCA3, 
                <italic toggle="yes">CACNA1A</italic>/SCA6, 
                <italic toggle="yes">ATXN7</italic>/SCA7, 
                <italic toggle="yes">TBP</italic>/SCA17, and 
                <italic toggle="yes">ATN1</italic>/DRPLA)
                <sup>
                    <xref ref-type="bibr" rid="ref-3">3</xref>
                </sup>. These diseases manifest above a threshold number of CAG repeats, which is different for each gene. The same mutational mechanism is found in Huntington disease
                <sup>
                    <xref ref-type="bibr" rid="ref-4">4</xref>
                </sup> and in spinal bulbar muscular atrophy
                <sup>
                    <xref ref-type="bibr" rid="ref-5">5</xref>
                </sup>. Disease onset generally occurs between the ages of 20 and 40 years, and age at onset and CAG repeat expansion size are inversely correlated
                <sup>
                    <xref ref-type="bibr" rid="ref-6">6</xref>,
                    <xref ref-type="bibr" rid="ref-7">7</xref>
                </sup>. Age at onset also displays variability due to interactions between polyQ genes, i.e. between the expanded allele and the alleles of normal repeat size in the other genes
                <sup>
                    <xref ref-type="bibr" rid="ref-8">8</xref>,
                    <xref ref-type="bibr" rid="ref-9">9</xref>
                </sup>. The instability of expanded alleles results in genetic anticipation in successive generations
                <sup>
                    <xref ref-type="bibr" rid="ref-3">3</xref>
                </sup>. Unsteady gait and clumsiness are usually the first clinical symptoms at onset, followed by a progressive loss of the ability to walk. Cerebellar syndrome is often associated with extracerebellar signs (pyramidal syndrome, extrapyramidal syndrome, retinal degeneration, dementia, seizures, etc.)
                <sup>
                    <xref ref-type="bibr" rid="ref-3">3</xref>
                </sup>. There is currently no preventive or curative treatment, but different therapeutic approaches are being tested, including the use of disease-modifying compounds and therapeutic approaches, which are described below. However, in SCAs, the lack of sensitive biomarkers and the small number of patients to be included in clinical trials are a challenge for the statistical sample size estimation. Outcome measures providing information about treatment efficacy are vital, particularly for these genetic diseases that can be treated before the onset of symptoms. This review provides an overview of findings for biomarkers, recent results of clinical trials in SCA patients, and future perspectives for treatment.</p>
        </sec>
        <sec>
            <title>Natural history of spinocerebellar ataxias (SCA1, 2, 3, and 6)</title>
            <p>The natural history of SCA1, 2, 3, and 6 was established by the longitudinal European cohort study EUROSCA, which included 462 patients with at least one year of follow-up and a median of 49 months of observation
                <sup>
                    <xref ref-type="bibr" rid="ref-10">10</xref>
                </sup>. This study used the Scale for the Assessment and Rating of Ataxia (SARA), an accurate measurement of cerebellar dysfunction
                <sup>
                    <xref ref-type="bibr" rid="ref-11">11</xref>,
                    <xref ref-type="bibr" rid="ref-12">12</xref>
                </sup> in SCA1, 2, 3, and 6 patients and premanifest individuals
                <sup>
                    <xref ref-type="bibr" rid="ref-13">13</xref>
                </sup>. The most severe disease turned out to be SCA1, with an annual progression of 2.11 on the 40-point SARA, followed by SCA3 (1.56 points), SCA2 (1.49 points), and SCA6 (0.8 points)
                <sup>
                    <xref ref-type="bibr" rid="ref-10">10</xref>
                </sup>. SCA1 has also been reported to have the most severe prognosis for progression in other studies, such as one in Europe
                <sup>
                    <xref ref-type="bibr" rid="ref-14">14</xref>
                </sup> and another conducted by the North American consortium (the Clinical Research Consortium for Spinocerebellar Ataxias)
                <sup>
                    <xref ref-type="bibr" rid="ref-15">15</xref>
                </sup>. This may be because of motoneuron involvement, which, particularly in this form, leads to bulbar dysfunction and, thus, to respiratory and swallowing failure
                <sup>
                    <xref ref-type="bibr" rid="ref-16">16</xref>
                </sup>. These results are consistent with 10-year survival, which is lowest for SCA1 patients, intermediate for SCA2 and SCA3, and highest for SCA6 patients
                <sup>
                    <xref ref-type="bibr" rid="ref-17">17</xref>
                </sup>. A high SARA score has also been identified as one of the strongest risk factors for death in all subtypes. Other associated risk factors include dysphagia for SCA1, longer CAG length in pathologic allele for SCA2, and dystonia and interaction between age and CAG length in SCA3
                <sup>
                    <xref ref-type="bibr" rid="ref-17">17</xref>
                </sup>. The Composite Cerebellar Functional Severity (CCFS) score is another quantitative score for assessing cerebellar ataxia that has been validated in adults and children
                <sup>
                    <xref ref-type="bibr" rid="ref-18">18</xref>,
                    <xref ref-type="bibr" rid="ref-19">19</xref>
                </sup>. This score is calculated from scores for two tasks for the dominant hand&#x2014;the nine-hole pegboard test and the click test&#x2014;and is age dependent and available from an open source (
                <ext-link ext-link-type="uri" xlink:href="https://icm-institute.org/en/tutorial-for-making-ccfs-board/">https://icm-institute.org/en/tutorial-for-making-ccfs-board/</ext-link>). In a study on Friedreich ataxia and SCA1, 2, 3, and 7 patients, SARA and CCFS scores were higher in SCAs than in Friedreich ataxia after adjustment for disease duration, revealing a slower progression in Friedreich ataxia than in SCAs. Considering each SCA subtype separately, SCA2 and SCA1 patients had higher CCFS scores than did patients with other subtypes, despite an absence of difference in SARA scores
                <sup>
                    <xref ref-type="bibr" rid="ref-20">20</xref>
                </sup>, probably because of the more accentuate cerebellar syndrome.</p>
            <p>Based on SARA score progression, the EUROSCA study identified, for each genotype, the sample sizes required to detect a 50% decrease in SARA score progression in a two-arm clinical trial lasting one year: 142 patients for SCA1, 172 for SCA2, 202 for SCA3, and 602 for SCA6
                <sup>
                    <xref ref-type="bibr" rid="ref-10">10</xref>
                </sup>. These are large numbers of patients for such rare diseases, making it necessary to carry out clinical trials at an international level. Additional biomarkers are required to overcome this problem. Furthermore, these dominantly inherited cerebellar ataxias have very different progression profiles, as shown in 
                <xref ref-type="fig" rid="f1">Figure 1</xref>. Given the progressive nature of the disease and the sample sizes required, biomarkers are very important and essential.</p>
            <fig fig-type="figure" id="f1" orientation="portrait" position="float">
                <label>Figure 1. </label>
                <caption>
                    <title>Progression and severity profiles in cerebellar ataxias by underlying etiology</title>
                    <p>Multisystem atrophy (MSA) is a rapidly progressing non-monogenic alpha-synucleinopathy. It is the most severe of these diseases, followed by polyglutamine (polyQ) spinocerebellar ataxias (SCAs), such as 
                        <italic toggle="yes">ATXN1</italic>/SCA1, 
                        <italic toggle="yes">ATXN2</italic>/SCA2, 
                        <italic toggle="yes">ATXN3</italic>/SCA3, 
                        <italic toggle="yes">CACNA1A</italic>/SCA6, 
                        <italic toggle="yes">ATXN7</italic>/SCA7, 
                        <italic toggle="yes">TBP</italic>/SCA17, and 
                        <italic toggle="yes">ATN1</italic>/DRPLA. Very different profiles are present in the forms because of missense mutations in channel genes (
                        <italic toggle="yes">CACNA1A</italic>, 
                        <italic toggle="yes">KCND3</italic>, 
                        <italic toggle="yes">KCNC3</italic>, and 
                        <italic toggle="yes">KCNA1)</italic>.</p>
                </caption>
                <graphic orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/17234/61c3ad7a-95ff-4cf2-bcde-58d60b002ff0_figure1.gif"/>
            </fig>
        </sec>
        <sec>
            <title>Biomarkers</title>
            <sec>
                <title>Neuroimaging biomarkers</title>
                <p>The most powerful biomarkers identified to date are derived from neuroimaging examinations. Specific patterns of brain atrophy have been described 
                    <italic toggle="yes">in vivo</italic> in polyQ SCAs
                    <sup>
                        <xref ref-type="bibr" rid="ref-21">21</xref>,
                        <xref ref-type="bibr" rid="ref-22">22</xref>
                    </sup> and confirmed in post-mortem studies
                    <sup>
                        <xref ref-type="bibr" rid="ref-23">23</xref>,
                        <xref ref-type="bibr" rid="ref-24">24</xref>
                    </sup>. Changes in brain MRI findings are already evident at the premanifest stage in SCA1 and SCA2 carriers in the form of losses of gray matter from the cerebellum and brainstem. In SCA2 carriers only, an additional decrease in brainstem volume relative to non-carriers has also been reported
                    <sup>
                        <xref ref-type="bibr" rid="ref-13">13</xref>
                    </sup>. A recent case-control study on a Cuban-German cohort of premanifest and manifest SCA2 carriers reported remarkable decreases in cerebellum and pontine volume and in the anteroposterior diameter of the pontine brainstem. A negative correlation was found between CAG repeat size and brainstem and cerebellum volume in premanifest individuals
                    <sup>
                        <xref ref-type="bibr" rid="ref-25">25</xref>
                    </sup>. Cerebellar and pons atrophy was more pronounced in manifest patients
                    <sup>
                        <xref ref-type="bibr" rid="ref-25">25</xref>
                    </sup>, representing a potential outcome measure. By contrast, midbrain and medulla volumes did not differ significantly between the preclinical and clinical stages
                    <sup>
                        <xref ref-type="bibr" rid="ref-25">25</xref>
                    </sup>. In SCA2, white matter alterations in the parietal lobe and anterior corona radiata (detected by fractional anisotropy), and in the cerebellum and middle cerebellar peduncle (detected by mean diffusivity), were found to be correlated with SARA scores, leading the authors of the report concerned to suggest that connections between the motor and sensory integration areas might be impaired
                    <sup>
                        <xref ref-type="bibr" rid="ref-26">26</xref>
                    </sup>. However, with the exception of rare follow-up studies
                    <sup>
                        <xref ref-type="bibr" rid="ref-21">21</xref>,
                        <xref ref-type="bibr" rid="ref-27">27</xref>
                    </sup>, only cross-sectional brain MRI studies have been performed to date. Longitudinal studies will be required to establish the rate of progression of cerebellar and brainstem atrophy.</p>
                <p>Cervical spinal cord atrophy has been proposed as a possible biomarker for SCA1, as it is correlated with SARA score, CAG repeat length, and disease duration
                    <sup>
                        <xref ref-type="bibr" rid="ref-28">28</xref>
                    </sup>. Indeed, the clinical presentation of this subtype can include pyramidal signs and it may, at early stages, mimic spastic paraplegia
                    <sup>
                        <xref ref-type="bibr" rid="ref-29">29</xref>
                    </sup>. Cervical spinal cord atrophy has also been identified as a potential biomarker for SCA3
                    <sup>
                        <xref ref-type="bibr" rid="ref-30">30</xref>
                    </sup>.</p>
                <p>Neurochemical abnormalities can be detected by MRI spectroscopy (MRS), as demonstrated by the group headed by Gulin Oz
                    <sup>
                        <xref ref-type="bibr" rid="ref-31">31</xref>
                    </sup>. Decreases in N-acetylaspartate and glutamate levels reflect a loss of neurons, whereas increases in myoinositol serve as a marker of gliosis. N-acetylaspartate and N-acetylaspartylglutamate levels are significantly lower in the vermis and pons of SCA1, 2, 3, and 7 patients than in controls. Myoinositol levels are higher in SCA1, 2, and 3 patients than in controls. This neurochemical profile is particularly evident in SCA2 and SCA3 patients and is correlated with SARA score
                    <sup>
                        <xref ref-type="bibr" rid="ref-32">32</xref>
                    </sup>. Interestingly, multicenter acquisition of this technique has been validated
                    <sup>
                        <xref ref-type="bibr" rid="ref-32">32</xref>
                    </sup>.</p>
                <p>Such alterations have been demonstrated by ultra-high-field MRS, even at the premanifest stage, with SCA2 patients showing the most compromised profile, followed by SCA1, SCA3, and SCA6 variant carriers
                    <sup>
                        <xref ref-type="bibr" rid="ref-31">31</xref>
                    </sup>.</p>
                <p>Another recent neuroimaging technique applied to SCAs is functional MRI (fMRI) at rest
                    <sup>
                        <xref ref-type="bibr" rid="ref-33">33 </xref>
                    </sup>or during a task
                    <sup>
                        <xref ref-type="bibr" rid="ref-34">34</xref>
                    </sup>. This technique can be used to characterize circuitry reorganization, making it possible to identify specific patterns of cerebellar activation
                    <sup>
                        <xref ref-type="bibr" rid="ref-35">35</xref>,
                        <xref ref-type="bibr" rid="ref-36">36</xref>
                    </sup>. Using this approach in the early phase of SCA3 disease, Duarte 
                    <italic toggle="yes">et al</italic>. discovered a reorganization of the motor network that could potentially serve as a biomarker
                    <sup>
                        <xref ref-type="bibr" rid="ref-37">37</xref>
                    </sup>. However, more detailed analyses of fMRI outcomes are required for future application.</p>
                <p>Neuroimaging biomarkers are more powerful than clinical scores for the detection of disease progression. In a cohort of SCA1, 2, 3, and 7 patients, greater longitudinal effect size was detected for brain volumetry (&gt;1.2) than SARA and CCFS scores (&lt;0.8)
                    <sup>
                        <xref ref-type="bibr" rid="ref-27">27</xref>
                    </sup>. In conclusion, measures of pons and cerebellum atrophy seem to be the most promising biomarkers.</p>
            </sec>
            <sec>
                <title>Oculomotor biomarkers</title>
                <p>Oculomotor involvement is present at an early phase of SCA and is detectable even at premanifest stages as a higher rate of gaze-evoked nystagmus or other alterations, such as a square-wave jerk during central fixation, impaired vertical smooth pursuit, slow saccade, and a higher antisaccade error rate in SCA3 carriers than controls
                    <sup>
                        <xref ref-type="bibr" rid="ref-13">13</xref>,
                        <xref ref-type="bibr" rid="ref-38">38</xref>,
                        <xref ref-type="bibr" rid="ref-39">39</xref>
                    </sup>. These alterations have been studied in detail in SCA2 patients, all of whom present specific oculomotor abnormalities (slow horizontal saccades up to saccade paresis)
                    <sup>
                        <xref ref-type="bibr" rid="ref-40">40</xref>
                    </sup>. Preclinical SCA2 carriers present a reduced saccade velocity and antisaccade task errors
                    <sup>
                        <xref ref-type="bibr" rid="ref-41">41</xref>
                    </sup>.</p>
                <p>Moreover, in manifest and premanifest SCA2 carriers, both the progression of oculomotor impairment and the slowing of horizontal saccade velocity are correlated, respectively, with CAG repeat size
                    <sup>
                        <xref ref-type="bibr" rid="ref-42">42</xref>
                    </sup> and pontine atrophy
                    <sup>
                        <xref ref-type="bibr" rid="ref-25">25</xref>
                    </sup>. The annual decrease in saccade velocity and saccade accuracy and an increase in saccade latency may soon be used as biomarkers. This correlation between saccade measurements and other parameters, such as brain MRI and/or cognitive assessment, may make it possible to reduce sample size in future trials
                    <sup>
                        <xref ref-type="bibr" rid="ref-42">42</xref>
                    </sup>.</p>
            </sec>
        </sec>
        <sec>
            <title>Biological biomarkers</title>
            <p>No biological biomarkers for SCAs have yet been identified, a situation contrasting with other neurodegenerative diseases, such as Alzheimer&#x2019;s disease and frontotemporal dementia. There is, therefore, a need to search for blood or cerebrospinal fluid (CSF) biomarkers of these diseases. In addition to guiding diagnostic process, biomarkers may be of use in clinical management if linked to disease progression.</p>
            <p>In this respect, several recent studies in patients with SCA3, the most frequent SCA subtype, have yielded promising results. 
                <italic toggle="yes">SIRT1</italic> encodes sirtuin-1, an NAD
                <sup>+</sup>-dependent deacetylase involved in several cellular functions, including chromatin modulation, the cell cycle, apoptosis, and autophagy regulation in response to DNA damage. SIRT1 mRNA levels are lower in SCA3 mice than in wild-type mice and are also low in the fibroblasts of SCA3 patients
                <sup>
                    <xref ref-type="bibr" rid="ref-43">43</xref>
                </sup>. In SCA3 mice, the rescue of SIRT1 by caloric restriction or the administration of resveratrol induces motor improvement and neuropathological changes, such as a decrease in neuroinflammation and reactive gliosis with an activation of autophagy
                <sup>
                    <xref ref-type="bibr" rid="ref-43">43</xref>
                </sup>. 
                <italic toggle="yes">SIRT1</italic> overexpression has been shown to activate autophagy and thus to induce higher levels of mutant protein clearance. For these reasons, resveratrol may be a useful neuroprotective drug, as shown in some assays in 
                <italic toggle="yes">Drosophila</italic> models of SCA3
                <sup>
                    <xref ref-type="bibr" rid="ref-44">44</xref>
                </sup> and in the rat 3-acetylpyridine-induced cerebellar ataxia model
                <sup>
                    <xref ref-type="bibr" rid="ref-45">45</xref>
                </sup>. Other studies have also demonstrated an imbalance between autophagy and apoptosis in SCA3. For example, an increase has been reported in the levels of 
                <italic toggle="yes">BECN1</italic>, encoding the proautophagic Beclin 1 protein
                <sup>
                    <xref ref-type="bibr" rid="ref-46">46</xref>
                </sup>, and BCL2/BAX ratio has been shown to be lower in pre-ataxic SCA3 carriers than in controls
                <sup>
                    <xref ref-type="bibr" rid="ref-47">47</xref>
                </sup>, enhancing apoptotic processes.</p>
            <p>Oxidative stress has been implicated in several neurodegenerative disorders, and SCA3 patients have been shown to produce abnormally large amounts of reactive oxygen species
                <sup>
                    <xref ref-type="bibr" rid="ref-48">48</xref>
                </sup>. This phenomenon results from a decrease in antioxidant capacity: both superoxide dismutase and glutathione peroxidase (GPx) activities are lower in symptomatic than in pre-symptomatic carriers
                <sup>
                    <xref ref-type="bibr" rid="ref-49">49</xref>
                </sup>. Moreover, the observed correlation of the decrease in GPx levels with disease severity suggests that GPx may be a reliable biomarker
                <sup>
                    <xref ref-type="bibr" rid="ref-49">49</xref>
                </sup>.</p>
            <p>Cytokines have also been investigated as possible markers of SCA3. Indeed, enhanced inflammation has been linked to stronger staining for IL1B and IL6 and higher levels of activated microglia and reactive astrocytes in the brains of SCA3 patients
                <sup>
                    <xref ref-type="bibr" rid="ref-50">50</xref>
                </sup>. In a study on Brazilian SCA3 patients, no difference in cytokine levels was detected between 79 carriers and 43 controls. On the contrary, higher eotaxin levels were observed in asymptomatic carriers than in symptomatic carriers. It has been suggested that the levels of eotaxin released by astrocytes are inversely correlated with disease progression
                <sup>
                    <xref ref-type="bibr" rid="ref-51">51</xref>
                </sup>. In another cohort of SCA3 patients recruited in the Azores, lower IL6 mRNA levels, due to the presence of the IL6*C allele, were associated with an earlier age at onset than the presence of the IL6*G allele
                <sup>
                    <xref ref-type="bibr" rid="ref-52">52</xref>
                </sup>. In this study, the earlier age at onset (by about 10 years on average) resulted from the presence of the APOE*e2 allele in IL6*C carriers, probably because of additional decreases in the levels of other cytokines, such as IL1B and TNF, due to the presence of the APOE*e2 allele
                <sup>
                    <xref ref-type="bibr" rid="ref-53">53</xref>
                </sup>.</p>
            <p>In a recent study, serum neurofilament light chain (Nfl) was identified as a powerful potential serum biomarker in polyQ SCAs
                <sup>
                    <xref ref-type="bibr" rid="ref-54">54</xref>
                </sup>. Neurofilaments are components of the neuron cytoskeleton, and their levels in the blood reflect damage to the axons of long fiber tracts
                <sup>
                    <xref ref-type="bibr" rid="ref-55">55</xref>
                </sup>. In Huntington disease, which is also a polyQ disease, a correlation between serum Nfl levels and disease severity (UHDRS, cognitive decline, brain atrophy) has been reported, even after adjustment for age and CAG repeat size
                <sup>
                    <xref ref-type="bibr" rid="ref-56">56</xref>
                </sup>. Nfl dosage is also useful for predicting disease onset in pre-symptomatic carriers and the progression of Huntington disease
                <sup>
                    <xref ref-type="bibr" rid="ref-56">56</xref>
                </sup>. In a study by Wilke 
                <italic toggle="yes">et al</italic>., Nfl levels were higher in SCAs patients than in controls, particularly for SCA1 and SCA3
                <sup>
                    <xref ref-type="bibr" rid="ref-54">54</xref>
                </sup>. The CSF has been only briefly explored in SCAs. CSF Nfl levels are a potential diagnostic and prognostic biomarker for SCAs, as in amyotrophic lateral sclerosis
                <sup>
                    <xref ref-type="bibr" rid="ref-57">57</xref>
                </sup>. A study in SCA1, SCA2, and SCA6 patients evaluated &#x03b1;-synuclein, DJ-1, and glial fibrillary acidic protein levels in CSF. The levels of all of these proteins were higher in CSF from patients than in control CSF, but this difference was significant only for tau, the levels of which were significantly higher in SCA2 patients. No correlations were found for CAG repeat size, disease severity, and disease duration
                <sup>
                    <xref ref-type="bibr" rid="ref-58">58</xref>
                </sup>. It will be very interesting to determine polyQ protein levels in the CSF of SCA patients, as has been done already for Huntington disease.</p>
            <sec>
                <title>Cognition in spinocerebellar ataxias</title>
                <p>Cognitive impairment, of various degrees of severity, can occur in polyQ SCAs. It involves mostly the executive functions and verbal memory, as shown in one of the first cognitive studies to compare the profiles of SCA1, 2, and 3 patients
                    <sup>
                        <xref ref-type="bibr" rid="ref-59">59</xref>
                    </sup>. Cognitive decline was more prominent and rapid in SCA1 than in the other genotypes
                    <sup>
                        <xref ref-type="bibr" rid="ref-59">59</xref>&#x2013;
                        <xref ref-type="bibr" rid="ref-61">61</xref>
                    </sup> and was associated with an increase in the incidence of depression
                    <sup>
                        <xref ref-type="bibr" rid="ref-61">61</xref>
                    </sup>. In another study, SCA2 patients were found to have more visuospatial and visuoperceptive deficits than SCA1 patients
                    <sup>
                        <xref ref-type="bibr" rid="ref-62">62</xref>
                    </sup>. In a recent study focusing on cognitive dysfunction in SCA6 patients, mild impairments of executive functions, mental flexibility, and visuospatial skills were found to be correlated with decreased resting-state connectivity in the frontoparietal network
                    <sup>
                        <xref ref-type="bibr" rid="ref-63">63</xref>
                    </sup>. These data support a role for the cerebellum in cognitive processes, given that the cerebellum is the principal cerebral structure affected and neuronal loss is less severe in SCA6 than in other polyQ diseases
                    <sup>
                        <xref ref-type="bibr" rid="ref-23">23</xref>
                    </sup>. The scales most widely used to assess dementia, such as the Mini-Mental State Examination or Montreal Cognitive Assessment, are not appropriate for the detection of cognitive impairment in SCA patients, who present a cerebellar cognitive affective/Schmahmann&#x2019;s syndrome (CCAS)
                    <sup>
                        <xref ref-type="bibr" rid="ref-64">64</xref>
                    </sup>. This syndrome includes executive dysfunctions, spatial cognition difficulties, language deficits, and personality changes. A CCAS scale has recently been validated in a large cohort of cerebellar patients with acquired, genetic, or idiopathic cause and shown to have a sensitivity of 95% and a selectivity of 78% for CCAS diagnosis
                    <sup>
                        <xref ref-type="bibr" rid="ref-64">64</xref>
                    </sup>. This scale, which is easy and fast to administer, can be used for cognitive evaluation, which should be performed in longitudinal studies of patients.</p>
            </sec>
        </sec>
        <sec>
            <title>Genetic advances in spinocerebellar ataxias</title>
            <p>The number of genes implicated in SCAs has steadily increased over time. The last causal gene to have been identified, in SCA47 patients, is 
                <italic toggle="yes">PUM1,</italic> encoding Pumilio1, a member of the PUMILIO/FBF RNA-binding protein family. The loss of 
                <italic toggle="yes">Pum1</italic> led to an SCA1-like phenotype in mice by causing a 30&#x2013;40% increase in wild-type Atxn1 protein levels in the cerebellum
                <sup>
                    <xref ref-type="bibr" rid="ref-65">65</xref>
                </sup>. These two proteins are functionally related: in SCA1 mice, the disease is more severe if one copy of 
                <italic toggle="yes">Pum1</italic> is removed, whereas the motor phenotype of 
                <italic toggle="yes">Pum1-</italic>heterozygous mice is improved by the removal of one copy of 
                <italic toggle="yes">Atxn1</italic>
                <sup>
                    <xref ref-type="bibr" rid="ref-65">65</xref>
                </sup>. Mutations of 
                <italic toggle="yes">PUM1</italic> were reported by Gennarino 
                <italic toggle="yes">et al</italic>. in 15 patients, with different ages at disease onset (5 months to 50 years) and phenotypic presentations. A 50% loss of the protein resulted in a severe infantile disease and a developmental syndrome called Pumilio1-associated developmental disability, ataxia, and seizure (PADDAS), whereas the loss of 25% of the protein caused Pumilio1-related cerebellar ataxia (PRCA), with a later onset and incomplete penetrance
                <sup>
                    <xref ref-type="bibr" rid="ref-66">66</xref>
                </sup>.</p>
            <p>Using whole-exome sequencing (WES), Nibbeling 
                <italic toggle="yes">et al</italic>. identified the genes associated with SCA46 and SCA45: 
                <italic toggle="yes">PLD3</italic> and 
                <italic toggle="yes">FAT2</italic>, respectively. These genes, which are strongly expressed in the cerebellum, cause pure adult-onset cerebellar ataxia. However, in some cases, SCA46 patients may present with a sensory neuropathy
                <sup>
                    <xref ref-type="bibr" rid="ref-67">67</xref>
                </sup>.</p>
            <p>Genes encoding ion channels are frequently involved in dominant cerebellar ataxia: mutations of 
                <italic toggle="yes">CACNA1A</italic> are the most frequent genetic cause of autosomal dominant cerebellar ataxia in patients negative for polyQ SCAs, followed by other channel-coding genes, such as 
                <italic toggle="yes">KCND3</italic>, 
                <italic toggle="yes">KCNC3</italic>, and 
                <italic toggle="yes">KCNA1</italic>
                <sup>
                    <xref ref-type="bibr" rid="ref-68">68</xref>
                </sup>. These genes predispose the patient to an earlier disease onset, intellectual deficiency, and slower disease progression
                <sup>
                    <xref ref-type="bibr" rid="ref-68">68</xref>
                </sup>. 
                <italic toggle="yes">CACNA1G</italic> mutations, underlying SCA42
                <sup>
                    <xref ref-type="bibr" rid="ref-69">69</xref>
                </sup>, lead to a slowly progressive pure
                <sup>
                    <xref ref-type="bibr" rid="ref-70">70</xref>
                </sup> or complicated cerebellar ataxia associated with a spastic gait
                <sup>
                    <xref ref-type="bibr" rid="ref-69">69</xref>
                </sup>. Patients with earlier onset may also present facial dysmorphisms, microcephaly, digital abnormalities, and seizures
                <sup>
                    <xref ref-type="bibr" rid="ref-71">71</xref>
                </sup>.</p>
            <p>Another channel gene implicated in SCA44 is 
                <italic toggle="yes">GRM1</italic>, encoding the metabotropic glutamate receptor 1 (mGluR1) responsible for two phenotypic manifestations: adult-onset cerebellar ataxia in the presence of gain-of-function mutations and early onset ataxia with intellectual deficiency when associated with loss-of-function mutations
                <sup>
                    <xref ref-type="bibr" rid="ref-72">72</xref>
                </sup>.</p>
            <p>The use of next-generation sequencing (NGS) techniques, such as WES, in everyday clinical practice has increased the diagnostic rate of complex neurological diseases
                <sup>
                    <xref ref-type="bibr" rid="ref-73">73</xref>,
                    <xref ref-type="bibr" rid="ref-74">74</xref>
                </sup>. The application of NGS in ataxia patients has revealed new SCA genes and improved our knowledge of the molecular pathways involved in cerebellar ataxia. It also affects the development of new therapeutic approaches: for example, elucidation of the role of mGluR1 in the excitability of Purkinje cells led to experiments modulating mGluR1 activity in SCA1 mice with drugs such as baclofen or the negative allosteric modulator JNJ16259685, both of which improved motor function
                <sup>
                    <xref ref-type="bibr" rid="ref-75">75</xref>,
                    <xref ref-type="bibr" rid="ref-76">76</xref>
                </sup>. As well, in a recent study by Bushart 
                <italic toggle="yes">et al</italic>., the administration of potassium channel modulators induced improvement in SCA1 mice motor phenotype via electrophysiological changes
                <sup>
                    <xref ref-type="bibr" rid="ref-77">77</xref>
                </sup>; the authors also showed that chlorzoxazone and baclofen co-administration was well tolerated by SCA1 patients and should be considered as a promising approach for treating symptoms
                <sup>
                    <xref ref-type="bibr" rid="ref-77">77</xref>
                </sup>.</p>
            <p>However, today, WES will not detect trinucleotide repeat disorders, mitochondrial DNA mutations, or large structural variants. Novel or 
                <italic toggle="yes">de novo</italic> repeat expansions are still difficult to detect by short-read sequencing
                <sup>
                    <xref ref-type="bibr" rid="ref-78">78</xref>
                </sup>. Tandem repeats are usually discarded by NGS pipelines, but bioinformatics efforts will be made to detect them. Recently, a novel intronic expansion, a pentanucleotide-repeat in 
                <italic toggle="yes">SAMD12,</italic> has been identified in familial myoclonic epilepsy
                <sup>
                    <xref ref-type="bibr" rid="ref-78">78</xref>
                </sup>. Long-read sequencing will probably allow one to identify more neurological repeat disorders.</p>
        </sec>
        <sec>
            <title>Therapeutic approaches in spinocerebellar ataxias</title>
            <p>Over the last few years, several disease-modifying treatments have been tested with different outcomes. The most beneficial molecules to date are riluzole and valproic acid, whereas other drugs, such as lithium carbonate, trimethoprim-sulfamethoxazole, or zinc, have no significant effect
                <sup>
                    <xref ref-type="bibr" rid="ref-79">79</xref>
                </sup>. A randomized placebo-controlled clinical trial in 40 SCA patients (SCA1, 2, 6, 8, and 10) and 20 Friedreich ataxia patients treated with riluzole (100 mg/day) for 12 months revealed a one-point improvement in SARA score in treated patients compared to the placebo group
                <sup>
                    <xref ref-type="bibr" rid="ref-80">80</xref>
                </sup>. The use of valproic acid (1,200 mg/day) in SCA3 patients resulted in a SARA score at 12 weeks lower than that obtained for patients on placebo
                <sup>
                    <xref ref-type="bibr" rid="ref-81">81</xref>
                </sup>. However, further trials are required to identify the genotype associated with a positive response to riluzole (ClinicalTrials.gov Identifier: NCT03347344).</p>
            <p>Based on the hypothesis that one of the main omega-3 polyunsaturated fatty acids of the cerebellum, docosahexaenoic acid (DHA), is present at low levels in SCA38 patients owing to 
                <italic toggle="yes">ELOVL5</italic> mutations, a clinical trial of DHA (600 mg/day) was performed
                <sup>
                    <xref ref-type="bibr" rid="ref-82">82</xref>
                </sup>. This drug improved SARA score at 16 weeks in a small group of SCA38 patients and it also increased cerebellar metabolism, as shown by a brain 18-fluorodeoxyglucose positron emission tomography scan at 40 weeks
                <sup>
                    <xref ref-type="bibr" rid="ref-82">82</xref>
                </sup>.</p>
            <p>However, the most encouraging and innovative strategies developed to date are RNA-targeting therapies for polyQ SCAs, which have been validated in several mouse models
                <sup>
                    <xref ref-type="bibr" rid="ref-83">83</xref>,
                    <xref ref-type="bibr" rid="ref-84">84</xref>
                </sup>. These approaches mostly use antisense oligonucleotides (ASOs) to downregulate levels of the pathological polyQ protein. SCA2 mice treated with intrathecal ASOs display improvements in motor abilities, a recovery of Purkinje cell firing frequency, and lower levels of mutated ATXN2 protein
                <sup>
                    <xref ref-type="bibr" rid="ref-85">85</xref>
                </sup>. ASOs have also been administered to SCA3 mice and were found to be well tolerated and to decrease the production of mutated protein
                <sup>
                    <xref ref-type="bibr" rid="ref-86">86</xref>
                </sup>. A correlation was also found with electrophysiological changes in Purkinje cells
                <sup>
                    <xref ref-type="bibr" rid="ref-87">87</xref>
                </sup>. These treatments may be used in patients with polyQ SCAs at early stages of the disease, even before the onset of symptoms. The long-term effects of decreasing levels of wild-type and mutated proteins and of decreasing the levels of other polyQ proteins remain unclear. The use of allele-specific ASOs may be required
                <sup>
                    <xref ref-type="bibr" rid="ref-88">88</xref>
                </sup>. A therapeutic approach based on ASOs is already at an advanced stage of development for Huntington disease
                <sup>
                    <xref ref-type="bibr" rid="ref-89">89</xref>
                </sup>, and a phase 1A clinical trial in patients has yielded promising results
                <sup>
                    <xref ref-type="bibr" rid="ref-90">90</xref>
                </sup>. ASO-based treatments are also being used for spinal muscular atrophy, in a different context, to retain exon 7 and produce a full-length SMN protein, with promising results
                <sup>
                    <xref ref-type="bibr" rid="ref-91">91</xref>,
                    <xref ref-type="bibr" rid="ref-92">92</xref>
                </sup>.</p>
            <p>The advent of disease-modifying treatments for SCAs, including ASOs, will require the rapid identification and validation of robust biomarkers of disease progression or processes for the assessment of treatment response.</p>
        </sec>
        <sec sec-type="conclusions">
            <title>Conclusion</title>
            <p>This review summarizes recent clinical and genetic advances in dominant SCAs, including discoveries of novel SCAs, development of biomarkers, and therapeutic progress. The identification of biomarkers will be essential to demonstrate treatment efficacy. Future longitudinal studies based on multimodal approaches to elucidate the relationships between parameters will be required for the establishment of valid biomarkers. To date, gene suppression therapies are the most promising in polyQ SCAs, and clinical trials in the next few years are justified.</p>
        </sec>
        <sec>
            <title>Abbreviations</title>
            <p>ASO, antisense oligonucleotide; CCAS, cerebellar cognitive affective/Schmahmann&#x2019;s syndrome; CCFS, Composite Cerebellar Functional Severity; CSF, cerebrospinal fluid; DHA, docosahexaenoic acid; fMRI, functional MRI; GPx, glutathione peroxidase; mGluR1, metabotropic glutamate receptor 1; MRS, MRI spectroscopy; Nfl, neurofilament light; NGS, next-generation sequencing; polyQ, polyglutamine; SARA, Scale for the Assessment and Rating of Ataxia; SCA, spinocerebellar ataxia; WES, whole-exome sequencing.</p>
        </sec>
    </body>
    <back>
        <ack>
            <title>Acknowledgments</title>
            <p>We thank the patients&#x2019; associations for their continuous support of our research: Association Connaitre les Syndromes C&#x00e9;r&#x00e9;belleux, Association Strumpell-Lorrain, Association Fran&#x00e7;aise de l&#x2019;Ataxie de Friedreich, and the Tom Wahlig Foundation.</p>
        </ack>
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