Alberto Benussi MD, Valentina Cantoni PhD, Jasmine Rivolta MSc, Nicola Zoppi MD, Maria Sofia Cotelli MD, Marta Bianchi MD, Maria Cotelli PhD, Barbara Borroni MD
Alejandra Lázaro-Figueroa BSc, Ana Jimena Hernández-Medrano MSc, Diana Berenice Ramírez-Pineda BSc, Andrés Navarro Cadavid PhD, Mary Makarious BSc, Jia Nee Foo PhD, Chelsea X. Alvarado MSc, Sara Bandres-Ciga PhD, Maria Teresa Periñan PhD, the Global Parkinson's Genetics Program (GP2)
{"title":"Is SH3GL2 p.G276V the Causal Functional Variant Underlying Parkinson's Disease Risk at this Locus?","authors":"Alejandra Lázaro-Figueroa BSc, Ana Jimena Hernández-Medrano MSc, Diana Berenice Ramírez-Pineda BSc, Andrés Navarro Cadavid PhD, Mary Makarious BSc, Jia Nee Foo PhD, Chelsea X. Alvarado MSc, Sara Bandres-Ciga PhD, Maria Teresa Periñan PhD, the Global Parkinson's Genetics Program (GP2)","doi":"10.1002/mds.29719","DOIUrl":"10.1002/mds.29719","url":null,"abstract":"<p>We read with great interest the article by Bademosi and colleagues,<span><sup>1</sup></span> where they investigated the role of <i>SH3GL2</i> p.G276V on neuron dysfunction in Parkinson's disease (PD).</p><p>The <i>SH3GL2</i> gene encodes the endophilin-A1 (EndoA1) protein, crucial for synaptic vesicle endocytosis and blood–brain barrier permeability regulation.<span><sup>1</sup></span> Two <i>SH3GL2</i> independent signals have been identified to potentially increase PD risk in the latest European genome-wide association studies (GWAS) meta-analysis: rs13294100 and rs10756907.<span><sup>2</sup></span></p><p>Exome sequencing on a German cohort suggested the p.G276V variant as an independent PD risk factor. Bademosi et al<span><sup>1</sup></span> recently demonstrated that p.G276V impairs Ca2+ influx-induced synaptic autophagy without destabilizing EndoA1. The authors found that the human p.G276V protein was stable but showed a significant decrease in the number of autophagosomes compared with control neurons.</p><p>To clarify the association between <i>SH3GL2</i> and PD, we leveraged whole-genome sequencing (WGS) data from the Accelerating Medicines Partnership-Parkinson's Disease (AMP-PD; https://amp-pd.org/) release 3.0, consisting of 3,105 cases and 3,670 controls from European descent, and large-scale genotyping imputed data from the Global Parkinson's Genetics Program (GP2; https://gp2.org/) release 5.0, consisting of 12,728 cases and 10,533 controls from 10 different ancestries. Quality control analyses are described elsewhere (https://github.com/vitale199/GenoTools/). Variants were annotated using ANNOVAR, and Fisher's exact test was applied using PLINK 1.9. Summary statistics from the latest PD risk GWAS meta-analyses were assessed.<span><sup>2-5</sup></span> We leveraged data from the omicSynth data resource looking at quantitative trait loci (QTL). Gene-based burden analyses were performed by using RVTESTS.</p><p>We identified 14,590 <i>SH3GL2</i> variants in AMP-PD (Supplementary Table S1). Likewise, 30,719 variants were identified in GP2 (Supplementary Table S1). The p.G276V variant was found in Europeans in both AMP-PD (one case, two controls) and GP2 (three cases, one control); however, no association was found with PD risk (AMP-PD: <i>P</i> = 0.394, odds ratio [OR] = 1.296; GP2: <i>P</i> = 0.869, OR = 1.034) (Table 1). This variant was also identified in GP2 in three African American (AAC) controls and one Ashkenazi Jew (AJ) PD patient.</p><p>No linkage disequilibrium (LD) was observed between p.G276V and the European GWAS lead single nucleotide polymorphisms (SNPs). Conditional analyses suggested that these variants were most likely independent signals. No significant association between <i>SH3GL2</i> common genetic variation and PD risk was identified in the Latino nor Asian populations.<span><sup>4, 5</sup></span> The analysis of a multi-ancestry population<span><sup>3</sup></span> identified the intronic variant rs910316833 ","PeriodicalId":213,"journal":{"name":"Movement Disorders","volume":"39 11","pages":"2117-2119"},"PeriodicalIF":7.4,"publicationDate":"2024-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11568960/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141970239","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Cletus Cheyuo MD, PhD, Jürgen Germann PhD, Kazuaki Yamamoto MD, Zion Zibly MD, Vibhor Krishna MD, PhD, Can Sarica MD, Yuri Ferreira Felloni Borges MD, Artur Vetkas MD, PhD, Suneil K. Kalia MD, PhD, Mojgan Hodaie MD, Alfonso Fasano MD, PhD, Michael L. Schwartz MD, MSc, W. Jeffrey Elias MD, Andres M. Lozano MD, PhD
Katharine Huynh BPsych (Hons), Nellie Georgiou-Karistianis PhD, Amit Lampit PhD, M. Navyaan Siddiqui BSc (Hons), Julie C. Stout PhD, Sharna D. Jamadar PhD
{"title":"Computerized Cognitive Training Increases Gray Matter Volumes in Huntington's Disease: A Pilot Study","authors":"Katharine Huynh BPsych (Hons), Nellie Georgiou-Karistianis PhD, Amit Lampit PhD, M. Navyaan Siddiqui BSc (Hons), Julie C. Stout PhD, Sharna D. Jamadar PhD","doi":"10.1002/mds.29972","DOIUrl":"10.1002/mds.29972","url":null,"abstract":"<p>Computerized cognitive training (CCT) aims to improve cognition through practice on tasks that invoke targeted cognitive domains. CCT improvements to cognition and gray matter structure have been found in healthy older adults and clinical populations.<span><sup>1, 2</sup></span> However, its effects in Huntington's disease (HD) have not been thoroughly examined.<span><sup>3</sup></span></p><p>We conducted a pilot randomized controlled trial to examine the effects of CCT in pre-manifest and early-stage HD. Participants were randomized to either multidomain CCT (two 1-hour sessions weekly) or lifestyle education (monthly newsletters) over 3 months. A sub-sample of participants (n = 6 CCT, n = 10 lifestyle education) completed structural magnetic resonance imaging and cognitive assessments at baseline and follow up. We predicted increased or preserved gray matter volumes in the CCT group, compared to the lifestyle education group. Methods are provided in Supplementary Data S1.</p><p>There were no significant differences between groups on demographic or clinical variables at baseline (Supplementary Table S1). Adherence to CCT ranged from 96% to 100% (5/6 participants had 100% adherence). Voxel-based morphometry analyses showed that change in gray matter volumes between baseline and follow up significantly differed between groups in the left putamen, right Heschl's gyrus, right superior temporal gyrus, right middle cingulate, and right middle frontal gyrus (Fig. 1A). Analyses of simple effects (Fig. 1B; Supplementary Table S2) revealed that in all regions, except left putamen, volumes significantly decreased in the lifestyle education group and significantly increased in the CCT group. In left putamen, volume significantly decreased in the lifestyle education group and was preserved in the CCT group. Examination of individual effects showed consistency in directions of effects across participants in each group.</p><p>Exploratory correlations between changes in gray matter volumes and cognitive outcomes revealed positive correlations between increased volumes and improvement on various cognitive outcomes (Supplementary Data S2). Increased volumes in all regions correlated with improved performance on a task switching paradigm.</p><p>The brain regions showing significant change in volume (putamen, Heschl's gyrus, superior temporal gyrus, middle cingulate, and middle frontal gyrus) may be more responsive to CCT given their atrophy in the pre-manifest stage.<span><sup>4</sup></span> Similarly, deficits in task switching can occur decades prior to diagnosis as it engages a widespread brain network.<span><sup>5</sup></span></p><p>Although our results are susceptible to small sample bias and overestimated effect sizes, results are consistent with studies in older adults with similar training doses.<span><sup>1</sup></span> Although significant decline in gray matter volumes in the lifestyle education group over 3 months was unexpected, this may be due to ","PeriodicalId":213,"journal":{"name":"Movement Disorders","volume":"39 11","pages":"2119-2121"},"PeriodicalIF":7.4,"publicationDate":"2024-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/mds.29972","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141905225","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lukas L. Goede MD, Simon Oxenford, Daniel Kroneberg MD, Garance M. Meyer PhD, Nanditha Rajamani, Clemens Neudorfer MD, Patricia Krause MD, Roxanne Lofredi MD, Michael D. Fox MD, PhD, Andrea A. Kühn MD, Andreas Horn MD, PhD