| Literature DB >> 34248820 |
Claudia Duran-Aniotz1,2, Paulina Orellana1,2, Tomas Leon Rodriguez3,4, Fernando Henriquez5,6, Victoria Cabello5,6, María F Aguirre-Pinto6, Tamara Escobedo1,2, Leonel T Takada7, Stefanie D Pina-Escudero8,9, Oscar Lopez10,11, Jennifer S Yokoyama8,9, Agustin Ibanez1,2,3,8,12, Mario A Parra13, Andrea Slachevsky4,5,6,7,14.
Abstract
Frontotemporal dementia (FTD) includes a group of clinically, genetically, and pathologically heterogeneous neurodegenerative disorders, affecting the fronto-insular-temporal regions of the brain. Clinically, FTD is characterized by progressive deficits in behavior, executive function, and language and its diagnosis relies mainly on the clinical expertise of the physician/consensus group and the use of neuropsychological tests and/or structural/functional neuroimaging, depending on local availability. The modest correlation between clinical findings and FTD neuropathology makes the diagnosis difficult using clinical criteria and often leads to underdiagnosis or misdiagnosis, primarily due to lack of recognition or awareness of FTD as a disease and symptom overlap with psychiatric disorders. Despite advances in understanding the underlying neuropathology of FTD, accurate and sensitive diagnosis for this disease is still lacking. One of the major challenges is to improve diagnosis in FTD patients as early as possible. In this context, biomarkers have emerged as useful methods to provide and/or complement clinical diagnosis for this complex syndrome, although more evidence is needed to incorporate most of them into clinical practice. However, most biomarker studies have been performed using North American or European populations, with little representation of the Latin American and the Caribbean (LAC) region. In the LAC region, there are additional challenges, particularly the lack of awareness and knowledge about FTD, even in specialists. Also, LAC genetic heritage and cultures are complex, and both likely influence clinical presentations and may modify baseline biomarker levels. Even more, due to diagnostic delay, the clinical presentation might be further complicated by both neurological and psychiatric comorbidity, such as vascular brain damage, substance abuse, mood disorders, among others. This systematic review provides a brief update and an overview of the current knowledge on genetic, neuroimaging, and fluid biomarkers for FTD in LAC countries. Our review highlights the need for extensive research on biomarkers in FTD in LAC to contribute to a more comprehensive understanding of the disease and its associated biomarkers. Dementia research is certainly reduced in the LAC region, highlighting an urgent need for harmonized, innovative, and cross-regional studies with a global perspective across multiple areas of dementia knowledge.Entities:
Keywords: Latin America; fluid biomarkers; frontotemporal dementia; genetics; neuroimaging
Year: 2021 PMID: 34248820 PMCID: PMC8263937 DOI: 10.3389/fneur.2021.663407
Source DB: PubMed Journal: Front Neurol ISSN: 1664-2295 Impact factor: 4.003
Figure 1The flow of information through the different phases of the systematic review according to the PRISMA statement. The search of PubMed, Scopus, Redalyc, and SciElo databases provided a total of 9,131 citations. Of these, 8,374 studies were discarded after reviewing the titles, and of those, 665 abstracts did not clearly meet the criteria. After adjusting for duplicates 52 of the 92 articles remained. The full text of the remaining 52 citations was examined in more detail. It appeared that 31 studies did not meet the inclusion criteria as described. No unpublished relevant studies were obtained, achieving a selection of a total of 21 articles for the analysis.
Papers resume table.
| Baez et al. ( | 2016 | Colombia, Argentina, Chile | Neuroimaging | MRI-VBM | Social cognition | |
| Baez et al. ( | 2016 | Colombia, Argentina, Chile | Neuroimaging | MRI-VBM | Social cognition | |
| Bachli et al. ( | 2020 | Colombia, Argentina, Australia | Neuroimaging | Machine learning | Executive functions | |
| Baldeiras et al. ( | 2015 | Brazil | Fluid Biomarkers | Aβ42/Tau ratio | Unspecified | |
| Bertoux et al. ( | 2018 | Francia, Chile | Neuroimaging | Visual atrophy ratings and VBM | Episodic memory | |
| Cintra et al. ( | 2018 | Brazil | Genetics | C9orf72 | Syntomatic ALS, FTD and MND presentation | |
| de Souza et al. ( | 2019 | Brazil | Neuroimaging Fluid Biomarkers | PET-FDG, Aβ42, Tau, P-Tau in CSF | Executive functions | |
| Dottori et al. ( | 2017 | Argentina, Colombia | Neuroimaging | Resting-State: weighted symbolic dependence metric | Unspecified | |
| Fernandez Suarez et al. ( | 2016 | Argentina | Genetics | C9orf72 | Unspecified | |
| Fraga et al. ( | 2019 | Brazil | Fluid biomarkers | hsCRP, IL-1β, IL-6, TNF, TGF-β1, AnxA1 and LXA4 in blood and CSF | Unspecified | |
| Gatto et al. ( | 2017 | Argentina | Genetics | MAPT | Executive functions attention | |
| Itzcovich et al. ( | 2016 | Argentina | Genetics | C9orf72 | Unspecified | |
| Miranda et al. ( | 2017 | Chile | Genetics | C9orf72 | Language and motor | |
| Moguilner et al. ( | 2018 | Argentina, Colombia | Neuroimaging | Resting-State: weighted symbolic dependence metric | Unspecified | |
| Niikado et al. ( | 2019 | Argentina | Neuroimaging Fluid Biomarkers | MRI, cortical thickness, NfL in CSF | Unspecified | |
| Riudavets et al. ( | 2013 | Argentina | Genetics | PS-1 | Unspecified | |
| Santamaria-Garcia et al. ( | 2016 | Colombia, Argentina, Chile | Neuroimaging | VBM | Neuropsychiatric symptoms | |
| Santos et al. ( | 2014 | Brazil | Fluid biomarkers | PBMC | Unspecified | |
| Santos et al. ( | 2020 | Brazil | Fluid biomarkers | Plasma metabolite profile with GC-MS | Unspecified | |
| Sedeño et al. ( | 2017 | Colombia, Argentina, Australia | Neuroimaging | fMRI and graph-theory | Unspecified | |
| Takada et al. ( | 2016 | Brazil | Genetics | MAPT and GNR | Unspecified |
Articles used for the data analysis, showing an organization following an order by authors, year, digital object identifier (DOI), country, category, specification, and cognitive domain associated.
Quantity distribution of papers.
| Quantity/Percentage (%) | 12/35.3 | 7/20.6 | 7/20.6 | 5/14.7 | 2/5.9 | 1/2.9 | 7/30.4 | 10/43.5 | 6/26.1 |
Quantity and percentage of papers by country and category for the data analysis.
Figure 2Genetics biomarkers of FTD in LAC. The presence and frequency of FTD genetic biomarkers (TREM2, C9orf72, MAPT, GRN, TARDBP, and PSN-1) in LAC.