Search

Objective: Despite significant progress in understanding the factors influencing cognitive function in Parkinson's disease (PD), there is a notable gap in data representation for the Latinx population. This study aims to evaluate the contributors to and disparities in cognitive performance among Latinx patients with PD. Methods: A retrospective analysis was conducted based on cross-sectional data encompassing demographic, environmental, motor, and non-motor disease characteristics from the Latin American Research Consortium on the Genetics of PD (LARGE-PD) and the Parkinson's Progression Markers Initiative (PPMI) cohorts. Linear regression multivariable models were applied to identify variables affecting Montreal Cognitive Assessment (MoCA) scores, accounting for age, sex, and years of education. Results: The analysis comprised of 3,054 PD patients (2,041 from LARGE-PD and 1,013 from PPMI) and 1,303 Latinx-controls. Latinx-PD patients (mean age 63.0 ± 11.8, 56.8% male) exhibited a significantly lower average MoCA score ( p  < .001) compared to white Non-Hispanic PD patients from PPMI (mean age 67.5 ± 9.9, 61.7% male). This difference persisted when comparing the Latinx-PD to the Latinx-controls (mean age 58.7 ± 9.3, 33.2% male; p  < .001). Factors significantly associated with better MoCA scores in Latinx-PD included unilateral symptom onset ( p  = .009), and higher educational attainment ( p  < .001). Conversely, those associated with worse scores included the use of dopamine agonists ( p  = .01), previous tobacco use ( p  = .01), older age ( p  < .001), and a higher Hoehn and Yahr scale score ( p  < .001). Conclusions: Latinx-PD patients demonstrated significantly lower cognitive scores compared to their white non-Hispanic PD counterparts and Latinx-controls. These results highlight the importance of interpreting MoCA scores in a nuanced manner within diverse populations.

Introduction: The first-line treatment for Parkinson's disease (PD) involves dopamine-replacement therapies; however, significant variability exists in patient responses. Pharmacogenomics has been explored as a potential approach to understanding and predicting treatment outcomes. This review aims to evaluate the current state of knowledge regarding the role of pharmacogenomics in PD, focusing on identifying challenges and proposing future directions., Methods: We conducted a systematic review following PRISMA 2020 guidelines. The PubMed database was searched for original, English-language studies using the R package 'RISmed.' Data were extracted and analyzed based on sample size, population origin, evaluated genes and polymorphisms, outcomes, and methodological approaches., Results: Out of 183 identified articles, 76 met the inclusion criteria. The COMT-rs4680 polymorphism was the most frequently studied, and levodopa-related motor complications were the most commonly assessed outcomes. All but two studies employed a candidate gene approach. In 75 % of the studies, the sample size was fewer than 225 individuals. There was a notable underrepresentation of Latino participants, with a lack of studies from Latin American countries other than Brazil. None of the studies produced consistent results across investigations., Conclusions: The variability in patient responses to PD treatments suggests a genetic predisposition. While current research has enhanced our understanding of PD medication metabolism, it has not yet fully elucidated the complex genetic interactions involved in PD pharmacogenomics. Novel approaches, larger and more genetically diverse cohorts, and improved data collection are essential for advancing pharmacogenomics in PD clinical practice., Competing Interests: Declaration of competing interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Jennifer K. Hockings reports a relationship with MCG Health that includes: consulting or advisory. If there are other authors, they declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

Vaccination has proven to be one of the most effective strategies against the COVID-19 pandemic. Several studies have evaluated and confirmed its effectiveness in different populations, particularly in reducing severe outcomes such as hospitalization and death. Some studies have investigated the effectiveness of vaccination against the infection, identifying the need for booster doses. This study aimed to explore the effectiveness of the vaccination schedule on the probability of infection in a sample of Colombian patients during the fourth wave of the COVID-19 pandemic, which was associated with the emergence and predominance of the Omicron variant. A cross-sectional study was conducted on individuals who underwent RT-PCR testing for COVID-19 detection in a dedicated laboratory in Bogotá, Colombia, between 30 December 2021 and 7 February 2022. A total of 1468 subjects was included in the study, of whom 36.6% (n = 538) had a positive PCR test for COVID-19. The comparison between fully vaccinated individuals with a booster dose and those without the booster dose revealed a 28% reduction in the odds of infection (OR = 0.719 CI 0.531-0.971). Age (OR = 1.009 CI 1.001-1.018) and low economic status (OR = 1.812 CI 1.416-2.319) were associated with an increased risk of infection. These findings suggest the need for a booster vaccination in the general population to improve the prevention rates of SARS-CoV-2 infection and mitigate severe outcomes.

A whole-exome capture and next-generation sequencing was applied to an 11 y/o patient with a clinical history of congenital hypotonia, generalized motor and cognitive neurodevelopmental delay, and severe cognitive deficit, and without any identifiable Syndromic pattern, and to her parents, we disclosed a de novo heterozygous pathogenic mutation, c.697&#95;699del p.Phe233del (rs786204835)(ACMG classification PS2, PM1, PM2, PP5), harbored in the PURA gene (MIM*600473) (5q31.3), associated with Autosomal Dominant Mental Retardation 31 (MIM # 616158). We used the significant improvement in the accuracy of protein structure prediction recently implemented in AlphaFold that incorporates novel neural network architectures and training procedures based on the evolutionary, physical, and geometric constraints of protein structures. The wild-type (WT) sequence and the mutated sequence, missing the Phe233, were reconstructed. The predicted local Distance Difference Test (lDDT) for the PURAwt and the PURA-Phe233del showed that the occurrence of the Phe233del affects between 220-320 amino acids. The distortion in the PURA structural conformation in the ~5 Å surrounding area after the p.Phe233del produces a conspicuous disruption of the repeat III, where the DNA and RNA helix unwinding capability occurs. PURA Protein-DNA docking corroborated these results in an in silico analysis that showed a loss of the contact of the PURA-Phe233del III repeat domain model with the DNA. Together, ( i ) the energetic and stereochemical, ( ii ) the hydropathic indexes and polarity surfaces, and ( iii ) the hybrid Quantum Mechanics-Molecular Mechanics (QM-MM) analyses of the PURA molecular models demarcate, at the atomic resolution, the specific surrounding region affected by these mutations and pave the way for future cell-based functional analysis. To the best of our knowledge, this is the first report of a de novo mutation underpinning a PURA syndrome in a Latin American patient and highlights the importance of predicting the molecular effects in protein structure using artificial intelligence algorithms and molecular and atomic resolution stereochemical analyses.

Objectives: This study aimed to explore associations between the molecular characterization of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) and disease severity in ambulatory and hospitalized patients in two main Colombian epicentres during the first year of the coronavirus disease 2019 pandemic., Methods: In total, 1000 patients with SARS-CoV-2 infection were included in this study. Clinical data were collected from 997 patients, and 678 whole-genome sequences were obtained by massively parallel sequencing. Bivariate, multi-variate, and classification and regression tree analyses were run between clinical and genomic variables., Results: Age >88 years, and infection with lineages B.1.1, B.1.1.388, B.1.523 or B.1.621 for patients aged 71-88 years were associated with death [odds ratio (OR) 6.048036, 95% confidence interval (CI) 1.346567-32.92521; P=0.01718674]. The need for hospitalization was associated with higher age and comorbidities. The hospitalization rate increased significantly for patients aged 38-51 years infected with lineages A, B, B.1.1.388, B.1.1.434, B.1.153, B.1.36.10, B.1.411, B.1.471, B.1.558 or B.1.621 (OR 8.368427, 95% CI 2.573145-39.10672, P=0.00012). Associations between clades and clinical outcomes diverged from previously reported data., Conclusions: Infection with lineage B.1.621 increased the hospitalization and mortality rates. These findings, plus the rapidly increasing prevalence in Colombia and other countries, suggest that lineage B.1.621 should be considered as a 'variant of interest'. If associated disease severity is confirmed, possible designation as a 'variant of concern' should be considered., Competing Interests: Conflict of interest statement None declared., (Copyright © 2021 The Authors. Published by Elsevier Ltd.. All rights reserved.)

The severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) is the etiopathogenic agent of COVID-19, a condition that has led to a formally recognized pandemic by March 2020 (World Health Organization -WHO). The SARS-CoV-2 genome is constituted of 29,903 base pairs, that code for four structural proteins (N, M, S, and E) and more than 20 non-structural proteins. Mutations in any of these regions, especially in those that encode for the structural proteins, have allowed the identification of diverse lineages around the world, some of them named as Variants of Concern (VOC) and Variants of Interest (VOI), according to the WHO and CDC. In this study, by using Next Generation Sequencing (NGS) technology, we sequenced the SARS-CoV-2 genome of 422 samples from Colombian residents, all of them collected between April 2020 and January 2021. We obtained genetic information from 386 samples, leading us to the identification of 14 new lineages circulating in Colombia, 13 of which were identified for the first time in South America. GH was the predominant GISAID clade in our sample. Most mutations were either missense (53.6%) or synonymous mutations (37.4%), and most genetic changes were located in the ORF1ab gene (63.9%), followed by the S gene (12.9%). In the latter, we identified mutations E484K, L18F, and D614G. Recent evidence suggests that these mutations concede important particularities to the virus, compromising host immunity, the diagnostic test performance, and the effectiveness of some vaccines. Some important lineages containing these mutations are the Alpha, Beta, and Gamma (WHO Label). Further genomic surveillance is important for the understanding of emerging genomic variants and their correlation with disease severity., (Copyright © 2021 The Authors. Published by Elsevier B.V. All rights reserved.)