Maria Thereza Drummond Gama’s research while affiliated with Federal University of São Paulo and other places

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Publications (3)


FIG. 1. Frequency of the main genotypes of patients with autosomal recessive cerebellar ataxia (ARCA) in South America, including both molecularly defined ARCA and genetically still undetermined ARCA. The figure also depicts the main Ataxia Centers in South America that participated in this epidemiological investigation. FRDA, Friedreich's ataxia; AT, ataxia telangiectasia; ARSACS, autosomal recessive spastic ataxia of Charlevoix-Saguenay; NPC, Niemann-Pick type C; AOA, ataxia with oculomotor apraxia. [Color figure can be viewed at wileyonlinelibrary.com]
Autosomal Recessive Cerebellar Ataxias in South America: A Multicenter Study of 1338 Patients
  • Article
  • Full-text available

May 2022

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218 Reads

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18 Citations

Movement Disorders

Maria Thereza D. Gama

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Deborah M. Rangel

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Design of the study including previous diagnostic work up done for each recruited patient
Diagnostic Yield of Whole Exome Sequencing for Adults with Ataxia: a Brazilian Perspective

February 2022

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88 Reads

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13 Citations

The Cerebellum

Previous studies using whole exome sequencing (WES) have shown that a significant proportion of adult patients with undiagnosed ataxia in European and North American cohorts have a known genetic cause. Little is known about the diagnostic yield of WES in non-Caucasian ataxic populations. Herein, we used WES to investigate a Brazilian cohort of 76 adult patients with idiopathic ataxia previously screened for trinucleotide expansions in known ataxia genes. We collected clinical and radiological data from each patient. WES was performed following standard procedures. Only variants labeled as pathogenic or likely pathogenic according to American college of medical genetics and genomics (ACMG) criteria were retrieved. We determined the diagnostic yield of WES for the whole cohort and also for subgroups defined according to presence or not of pyramidal signs, peripheral neuropathy, and cerebellar atrophy. There were 41 women and 35 men. Mean age at testing was 48 years. Pyramidal signs, peripheral neuropathy, tremor, and cerebellar atrophy were found in 38.1%, 13.1%, 10.5%, and 68.3% of all subjects, respectively. Diagnostic yield of WES was 35.5%. Thirty-six distinct mutations were found in 20 different genes, determining the diagnosis of 18 autosomal recessive and 9 autosomal dominant ataxias. SACS and SPG7 were the most frequently found underlying genes. WES performed better in the subgroup with vs the subgroup without spasticity (p = 0.005). WES was diagnostic in 35.5% of cases of the Brazilian cohort of ataxia cases. These results have implications for diagnosis, genetic counseling and eventually treatment.


Multimodal neuroimaging analysis in patients with SYNE1 Ataxia

May 2018

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31 Reads

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14 Citations

Journal of the Neurological Sciences

Background The gene SYNE1 is highly expressed in the cerebellum and its dysfunction is related to an autosomal recessive ataxia (SYNE1-ataxia). The disease was firstly considered a pure cerebellar ataxia however, recent studies have described a broader clinical presentation, including motor neuron disease symptoms. Objectives To investigate cerebellar and potential extra-cerebellar changes in SYNE1-ataxia using multimodal neuroimaging analyses. Methods Six patients completed clinical and imaging exams, and were compared to age-gender-matched healthy controls. Gray matter was analyzed using FreeSurfer and CERES for brain and cerebellum, respectively. White matter was analyzed with DTI-TBSS while we used SpineSeg for spinal cord analysis. Results We found significantly reduced cortical thickness (p < 0.05, FDR-corrected) in primary and association cortices, and volume reduction in subcortical structures, brainstem and cerebellum. White matter was found disrupted in both brain and cerebellum (p < 0.05, FWE-corrected). These results are consistent with the expression of the SYNE1 mRNA and its encoded protein in the brain. We failed to demonstrate spinal cord changes. Conclusions SYNE1-ataxia is, therefore, a relatively common cause of recessive ataxia characterized by complex multisystemic neurostructural changes consistent with the phenotypic heterogeneity and neuroimaging configures a potential marker of the disease.

Citations (3)


... Initial reports found RFC1 biallelic expansion in 33/150 (22%) of CANVAS or late-onset ataxia patients [1]. Later studies on late-onset, non-dominant cerebellar ataxia (CA) showed diagnostic yields of 1.5-15%, with differences across studies explained by factors like multiple system atrophy (MSA) patients' inclusion, prior genetic testing, family history, and ethnicity [7,15,39,57,69,70,[73][74][75][76][77]. In a study of 205 sporadic late-onset ataxia patients, expansions in the RFC1 gene were the second most common cause after SPG7 mutations, with 3/205 (1.5%) biallelic carriers [78]. ...

Reference:

CANVAS as example of genetic and clinical complexity of RFC1-related disorders
Autosomal Recessive Cerebellar Ataxias in South America: A Multicenter Study of 1338 Patients

Movement Disorders

... The diagnostic yield of genetic testing for undiagnosed ataxia patients varies globally due to methodological differences across screening studies but generally averages between 30 and 50% [18,[36][37][38][39][40][41]. A recent systematic literature review on the diagnostic yield of NGS tests for hereditary ataxias found a median diagnostic yield of 43% (IQR = 9.5-100%) [42]. ...

Diagnostic Yield of Whole Exome Sequencing for Adults with Ataxia: a Brazilian Perspective

The Cerebellum

... AI algorithms provide increased accuracy and consistency in analyzing complex brain imaging data, surpassing manual methods, which are prone to observer variability. AI-based volumetric analysis of the cerebellum has been applied in the research field for more than a decade and has obtained fruitful results [27][28][29][30]. ...

Multimodal neuroimaging analysis in patients with SYNE1 Ataxia
  • Citing Article
  • May 2018

Journal of the Neurological Sciences