Metabolomics Unveils Disrupted Pathways in Parkinson's Disease: Toward Biomarker-Based Diagnosis.

Parkinson's disease (PD) is a neurodegenerative disorder characterized by diverse symptoms, where accurate diagnosis remains challenging. Traditional clinical observation methods often result in misdiagnosis, highlighting the need for biomarker-based diagnostic approaches. This study utilizes ultraperformance liquid chromatography coupled to an electrospray ionization source and quadrupole time-of-flight untargeted metabolomics combined with biochemometrics to identify novel serum biomarkers for PD. Analyzing a Brazilian cohort of serum samples from 39 PD patients and 15 healthy controls, we identified 15 metabolites significantly associated with PD, with 11 reported as potential biomarkers for the first time. Key disrupted metabolic pathways include caffeine metabolism, arachidonic acid metabolism, and primary bile acid biosynthesis. Our machine learning model demonstrated high accuracy, with the Rotation Forest boosting model achieving 94.1% accuracy in distinguishing PD patients from controls. It is based on three new PD biomarkers (downregulated: 1-lyso-2-arachidonoyl-phosphatidate and hypoxanthine and upregulated: ferulic acid) and surpasses the general 80% diagnostic accuracy obtained from initial clinical evaluations conducted by specialists. Besides, this machine learning model based on a decision tree allowed for visual and easy interpretability of affected metabolites in PD patients. These findings could improve the detection and monitoring of PD, paving the way for more precise diagnostics and therapeutic interventions. Our research emphasizes the critical role of metabolomics and machine learning in advancing our understanding of the chemical profile of neurodegenerative diseases.

Comparison of Team-Based Learning versus Traditional Lectures in Neuroanatomy: Medical Student Knowledge and Satisfaction.

Neuroanatomy is often considered a difficult subject to teach, due to its broad scope, multitude of terms, and high degree of complexity. Thus, newer educational strategies that facilitate learning while also stimulating students by allowing increased student autonomy and group discussions should be carefully considered. This study aimed to evaluate the impact of introducing team-based learning (TBL) in the traditional discipline of neuroanatomy and to measure student knowledge acquisition and perception relative to traditional lectures (TL). A quasi-experimental, nonrandomized study was performed using two consecutive TBL classes (intervention group, n = 157 students, 25% content using TBL) with a TL class (control group, n = 76). Team-based learning sessions included all stages according to the classic description of the method. Student knowledge acquisition was assessed in regularly scheduled tests during the discipline, and their perception regarding TBL was evaluated using a questionnaire (developed by the authors). The groups presented a similar sociodemographic profile (sex and age) and the same performance in another anatomy discipline before the study. Team-based learning was significantly associated with greater acceptance, higher motivation, better student perception, and feelings that the methodology was able to integrate clinical and basic sciences. Nevertheless, according to tests, knowledge acquisition was similar between the TBL and lectures. In conclusion, since TBL is comparable to TL for knowledge acquisition, TBL seems to be a promising strategy to improve the teaching of neuroanatomy in medical schools. It fosters group discussions and increases satisfaction and the perception of integration between clinical and basic sciences.

GRN and MAPT Mutations in 2 Frontotemporal Dementia Research Centers in Brazil.

BACKGROUND: Mutations in GRN (progranulin) and MAPT (microtubule-associated protein tau) are among the most frequent causes of monogenic frontotemporal dementia (FTD), but data on the frequency of these mutations in regions such as Latin America are still lacking. OBJECTIVE: We aimed to investigate the frequencies of GRN and MAPT mutations in FTD cohorts from 2 Brazilian dementia research centers, the University of Sao Paulo and the Federal University of Minas Gerais medical schools. METHODS: We included 76 probands diagnosed with behavioral-variant FTD (n=55), semantic-variant Primary Progressive Aphasia (PPA) (n=11), or nonfluent-variant PPA (n=10). Twenty-five percent of the cohort had at least 1 relative affected with FTD. RESULTS: Mutations in GRN were identified in 7 probands, and in MAPT, in 2 probands. We identified 3 novel GRN mutations (p.Q130X, p.317Afs*12, and p.K259Afs*23) in patients diagnosed with nonfluent-variant PPA or behavioral-variant FTD. Plasma progranulin levels were measured and a cutoff value of 70 ng/mL was found, with 100% sensitivity and specificity to detect null GRN mutations. CONCLUSIONS: The frequency of GRN mutations was 9.6% and that of MAPT mutations was 7.1%. Among familial cases of FTD, the frequency of GRN mutations was 31.5% and that of MAPT mutations was 10.5%.

Neuroschistosomiasis mansoni: literature review and guidelines.

BACKGROUND: Schistosomiasis is a tropical disease caused by worms of the genus Schistosoma. It is endemic in the Caribbean Islands, the middle east, eastern Asia, South America, and Africa. In nonendemic areas, physicians should be aware of this condition in travelers returning from endemic areas and in immigrants. The main disease-causing species are Schistosoma haematobium, Schistosoma mansoni, and Schistosoma japonicum. Neuroschistosomiasis is an ectopic form of the disease that is mainly associated with S. japonicum infection. Involvement of the central nervous system (CNS) in S. mansoni infection is neglected and underestimated. Neuroschistosomiasis mansoni can be classified into cerebral, spinal, and encephalomyelitic forms in the course of an acute or chronic infection. REVIEW SUMMARY: We review the CNS involvement by S. mansoni infection with an emphasis on life cycle, epidemiology, pathophysiology and immunology, clinical manifestations, diagnostic criteria, differential diagnosis, current treatment guidelines, and prognosis. CONCLUSIONS: Although an underreported CNS infection, found mainly in underdeveloped countries, neuroschistosomiasis mansoni still causes significant incapacity and morbidity. Hence, neurologists should become familiar with this infection worldwide and include it in the differential diagnosis of CNS involvement in travelers returning from endemic areas and in immigrants.