Biomedical subjects

Ignacio F Mata

Publications and source records attributed to Ignacio F Mata.

3 recordsLinked to original sources

PubMed2026

Revisiting the Association of Pesticide Exposure and Parkinson's Disease: Systematic Review and Meta-Analysis.

The association between pesticide exposure and Parkinson's disease (PD) is substantial, but heterogeneity in methodology and lack of categorization according to the type of exposure and pesticide classes in previous meta-analyses impair the interpretation of data. This study aims to update evidence of the association between pesticide exposure and PD. We conducted a systematic review and meta-analysis of studies investigating associations between pesticide exposure and PD according to the type of pesticide exposure and pesticide class. We searched PubMed, EMBASE, and Web of Science until July 2024. Reviewers screened titles and abstracts. Afterward, reviewers reanalyzed the selection criteria and extracted the data based on the full paper. Meta-analyses were conducted to assess the association between pesticide exposure and PD. A total of 124 studies were eligible. There is a lack of diversity in the populations represented and a high variability in methodology among the included studies. Considering only studies with any type of exposure, we found a positive association of PD with any pesticide class and herbicides. Occupational exposure was associated with PD for all pesticide classes except for fungicides. Exclusive household pesticide exposure was also associated with PD. Pesticide exposure remains a significant environmental risk factor for the development of PD, regardless of the type of exposure. Herbicides are the pesticide class with the most substantial evidence of association with the disease. Further studies with new methods of pesticide exposure measurement, innovative design studies, and the inclusion of underrepresented populations are still needed.

Pesticides↗

PubMed2025

Levodopa-induced dyskinesia is still a major clinical problem in Brazilian movement disorder clinics.

Levodopa-induced dyskinesia (LID) remains a significant motor complication in Parkinson's disease (PD), although opinions differ on its clinical relevance.To explore the current prevalence and impact of LID, we analyzed two cohorts from the Latin American Research Consortium on the Genetics of Parkinson's Disease from movement disorder clinics in the city of São Paulo, Brazil, recruited 10 years apart.The cohorts included 187 individuals diagnosed with PD in phase 1 (2007-2014) and 224 in phase 2 (2021-2022). The presence and functional impact of LID were measured using part IV (items 4.1 and 4.2 respectively) of the Movement Disorder Society Unified Parkinson's Disease Rating Scale (MDS-UPDRS).The analysis revealed that LID frequency increased from 34.7 in phase 1 to 54.9% in phase 2 (more recent), with functional impact rising from 25.1 to 38.8%.The findings suggest that LID remains a relevant clinical issue in clinics specialized in movement disorders in Brazil, with no reduction in prevalence throughout the last decade. Further studies from other regions and less specialized neurology centers may help understand this motor complication in Brazil and in other developing countries.

Humans↗

PubMed2024

Genetics of Latin American Diversity Project: Insights into population genetics and association studies in admixed groups in the Americas.

Latin Americans are underrepresented in genetic studies, increasing disparities in personalized genomic medicine. Despite available genetic data from thousands of Latin Americans, accessing and navigating the bureaucratic hurdles for consent or access remains challenging. To address this, we introduce the Genetics of Latin American Diversity (GLAD) Project, compiling genome-wide information from 53,738 Latin Americans across 39 studies representing 46 geographical regions. Through GLAD, we identified heterogeneous ancestry composition and recent gene flow across the Americas. Additionally, we developed GLAD-match, a simulated annealing-based algorithm, to match the genetic background of external samples to our database, sharing summary statistics (i.e., allele and haplotype frequencies) without transferring individual-level genotypes. Finally, we demonstrate the potential of GLAD as a critical resource for evaluating statistical genetic software in the presence of admixture. By providing this resource, we promote genomic research in Latin Americans and contribute to the promises of personalized medicine to more people.

Humans↗