Análisis del discurso político en Twitter de la actual vicepresidenta Cristina Fernández de Kirchner durante la última semana de la campaña de elecciones generales 2019

El presente trabajo de tesis de licenciatura resulta del análisis del discurso político vinculado con herramientas brindadas a partir de la comunicación digital como las redes sociales y, en especial, Twitter. El objetivo general del trabajo fue analizar la construcción del discurso político en Twitter de la actual vice presidenta Cristina Fernández de Kirchner, durante la última semana de la campaña electoral general en Argentina. Entre las técnicas de investigación utilizadas se encuentran el análisis documental y el análisis de contenido. La primera, permitió establecer una base de datos situada en un tiempo y contexto determinado con los enunciados seleccionados, y la segunda, poder generar planillas de contenido, donde se visualizó en detalle cada análisis de las herramientas particulares del análisis del discurso político como tal. La muestra se compuso a partir de los siguientes criterios: 1) la fecha correspondiente al inicio de la última semana de campaña y 2) la fecha de cierre de campaña. A partir de ello, se seleccionaron los 14 twits que fueron usados para el presente análisis. Entre los principales enfoques teóricos utilizados para abordar el análisis del discurso y en Twitter se encuentran: análisis de deícticos, modalidades, subjetivemas, polifonías y perfil digital. The present undergraduate thesis work was oriented in the analysis of political discourse linked to tools provided from digital communication such as social networks and especially Twitter. The general objective of the work was: To analyze the construction of the political discourse on Twitter of the current vice president Cristina Fernández de Kirchner, during the last week of the general electoral campaign in Argentina. The researcher included in her work the methodological triangulation based on two types of research: documentary and content analysis. The first, allowed to establish a database located in a certain time and context with the selected statements, and the second, to be able to generate content sheets, where each analysis of the particular tools of the analysis of political discourse as such was visualized in detail. The sample was composed based on the following criteria: 1) the launch date of the campaign. From this, the fourteen tweets that were used for the present analysis were selected. Among the main theoretical approaches used to address discourse analysis and on Twitter are: analysis of deictics, modalities, subjectivisms, polyphonies and projected digital profile with their respective representative authors.Fil: Herrera, Fernanda. Universidad Católica de Salta. Facultad de Artes y Ciencias; Argentina.Fil: Farotti, Lucia Milagro. Universidad Católica de Salta. Facultad de Artes y Ciencias; Argentina

Common variants in Alzheimer’s disease and risk stratification by polygenic risk scores

Funder: Funder: Fundación bancaria ‘La Caixa’ Number: LCF/PR/PR16/51110003 Funder: Grifols SA Number: LCF/PR/PR16/51110003 Funder: European Union/EFPIA Innovative Medicines Initiative Joint Number: 115975 Funder: JPco-fuND FP-829-029 Number: 733051061Genetic discoveries of Alzheimer's disease are the drivers of our understanding, and together with polygenetic risk stratification can contribute towards planning of feasible and efficient preventive and curative clinical trials. We first perform a large genetic association study by merging all available case-control datasets and by-proxy study results (discovery n = 409,435 and validation size n = 58,190). Here, we add six variants associated with Alzheimer's disease risk (near APP, CHRNE, PRKD3/NDUFAF7, PLCG2 and two exonic variants in the SHARPIN gene). Assessment of the polygenic risk score and stratifying by APOE reveal a 4 to 5.5 years difference in median age at onset of Alzheimer's disease patients in APOE ɛ4 carriers. Because of this study, the underlying mechanisms of APP can be studied to refine the amyloid cascade and the polygenic risk score provides a tool to select individuals at high risk of Alzheimer's disease

New insights into the genetic etiology of Alzheimer's disease and related dementias

Characterization of the genetic landscape of Alzheimer's disease (AD) and related dementias (ADD) provides a unique opportunity for a better understanding of the associated pathophysiological processes. We performed a two-stage genome-wide association study totaling 111,326 clinically diagnosed/'proxy' AD cases and 677,663 controls. We found 75 risk loci, of which 42 were new at the time of analysis. Pathway enrichment analyses confirmed the involvement of amyloid/tau pathways and highlighted microglia implication. Gene prioritization in the new loci identified 31 genes that were suggestive of new genetically associated processes, including the tumor necrosis factor alpha pathway through the linear ubiquitin chain assembly complex. We also built a new genetic risk score associated with the risk of future AD/dementia or progression from mild cognitive impairment to AD/dementia. The improvement in prediction led to a 1.6- to 1.9-fold increase in AD risk from the lowest to the highest decile, in addition to effects of age and the APOE ε4 allele

Plos Med

Background The ε4 allele of apolipoprotein E (APOE) gene and increasing age are two of the most important known risk factors for developing Alzheimer disease (AD). The diagnosis of AD based on clinical symptoms alone is known to have poor specificity; recently developed diagnostic criteria based on biomarkers that reflect underlying AD neuropathology allow better assessment of the strength of the associations of risk factors with AD. Accordingly, we examined the global and age-specific association between APOE genotype and AD by using the A/T/N classification, relying on the cerebrospinal fluid (CSF) levels of β-amyloid peptide (A, β-amyloid deposition), phosphorylated tau (T, pathologic tau), and total tau (N, neurodegeneration) to identify patients with AD. Methods and findings This case–control study included 1,593 white AD cases (55.4% women; mean age 72.8 [range = 44–96] years) with abnormal values of CSF biomarkers from nine European memory clinics and the American Alzheimer’s Disease Neuroimaging Initiative (ADNI) study. A total of 11,723 dementia-free controls (47.1% women; mean age 65.6 [range = 44–94] years) were drawn from two longitudinal cohort studies (Whitehall II and Three-City), in which incident cases of dementia over the follow-up were excluded from the control population. Odds ratio (OR) and population attributable fraction (PAF) for AD associated with APOE genotypes were determined, overall and by 5-year age categories. In total, 63.4% of patients with AD and 22.6% of population controls carried at least one APOE ε4 allele. Compared with non-ε4 carriers, heterozygous ε4 carriers had a 4.6 (95% confidence interval 4.1–5.2; p < 0.001) and ε4/ε4 homozygotes a 25.4 (20.4–31.2; p < 0.001) higher OR of AD in unadjusted analysis. This association was modified by age (p for interaction < 0.001). The PAF associated with carrying at least one ε4 allele was greatest in the 65–70 age group (69.7%) and weaker before 55 years (14.2%) and after 85 years (22.6%). The protective effect of APOE ε2 allele for AD was unaffected by age. Main study limitations are that analyses were based on white individuals and AD cases were drawn from memory centers, which may not be representative of the general population of patients with AD. Conclusions In this study, we found that AD diagnosis based on biomarkers was associated with APOE ε4 carrier status, with a higher OR than previously reported from studies based on only clinical AD criteria. This association differs according to age, with the strongest effect at 65–70 years. These findings highlight the need for early interventions for dementia prevention to mitigate the effect of APOE ε4 at the population level

Common variants in Alzheimer's disease and risk stratification by polygenic risk scores.

Funder: Funder: Fundación bancaria ‘La Caixa’ Number: LCF/PR/PR16/51110003 Funder: Grifols SA Number: LCF/PR/PR16/51110003 Funder: European Union/EFPIA Innovative Medicines Initiative Joint Number: 115975 Funder: JPco-fuND FP-829-029 Number: 733051061Genetic discoveries of Alzheimer's disease are the drivers of our understanding, and together with polygenetic risk stratification can contribute towards planning of feasible and efficient preventive and curative clinical trials. We first perform a large genetic association study by merging all available case-control datasets and by-proxy study results (discovery n = 409,435 and validation size n = 58,190). Here, we add six variants associated with Alzheimer's disease risk (near APP, CHRNE, PRKD3/NDUFAF7, PLCG2 and two exonic variants in the SHARPIN gene). Assessment of the polygenic risk score and stratifying by APOE reveal a 4 to 5.5 years difference in median age at onset of Alzheimer's disease patients in APOE ɛ4 carriers. Because of this study, the underlying mechanisms of APP can be studied to refine the amyloid cascade and the polygenic risk score provides a tool to select individuals at high risk of Alzheimer's disease

Multiancestry analysis of the HLA locus in Alzheimer’s and Parkinson’s diseases uncovers a shared adaptive immune response mediated by HLA-DRB1*04 subtypes

Across multiancestry groups, we analyzed Human Leukocyte Antigen (HLA) associations in over 176,000 individuals with Parkinson’s disease (PD) and Alzheimer’s disease (AD) versus controls. We demonstrate that the two diseases share the same protective association at the HLA locus. HLA-specific fine-mapping showed that hierarchical protective effects of HLA-DRB1*04 subtypes best accounted for the association, strongest with HLA-DRB1*04:04 and HLA-DRB1*04:07, and intermediary with HLA-DRB1*04:01 and HLA-DRB1*04:03. The same signal was associated with decreased neurofibrillary tangles in postmortem brains and was associated with reduced tau levels in cerebrospinal fluid and to a lower extent with increased Aβ42. Protective HLA-DRB1*04 subtypes strongly bound the aggregation-prone tau PHF6 sequence, however only when acetylated at a lysine (K311), a common posttranslational modification central to tau aggregation. An HLA-DRB1*04-mediated adaptive immune response decreases PD and AD risks, potentially by acting against tau, offering the possibility of therapeutic avenues

Biomarker-Based Signature of Alzheimer’s Disease in Pre-MCI Individuals

Alzheimer&rsquo;s disease (AD) pathology begins decades before the onset of clinical symptoms. It is recognized as a clinicobiological entity, being detectable in vivo independently of the clinical stage by means of pathophysiological biomarkers. Accordingly, neuropathological studies that were carried out on healthy elderly subjects, with or without subjective experience of cognitive decline, reported evidence of AD pathology in a high proportion of cases. At present, mild cognitive impairment (MCI) represents the only clinically diagnosed pre-dementia stage. Several attempts have been carried out to detect AD as early as possible, when subtle cognitive alterations, still not fulfilling MCI criteria, appear. Importantly, pre-MCI individuals showing the positivity of pathophysiological AD biomarkers show a risk of progression similar to MCI patients. In view of successful treatment with disease modifying agents, in a clinical setting, a timely diagnosis is mandatory. In clinical routine, biomarkers assessment should be taken into consideration whenever a subject with subtle cognitive deficits (pre-MCI), who is aware of his/her decline, requests to know the cause of such disturbances. In this review, we report the available neuropsychological and biomarkers data that characterize the pre-MCI patients, thus proposing pre-MCI as the first clinical manifestation of AD

Cerebrospinal Fluid Prongf: A Putative Biomarker For Early Alzheimer’S Disease

The discovery of biomarkers for the onset of Alzheimer’s disease (AD) is essential for disease modification strategies. To date, AD biomarker studies have focused on brain imaging and cerebrospinal fluid (CSF) changes in amyloid- β (Aβ) peptide and tau proteins. While reliable to an extent, this panel could be improved by the inclusion of novel biomarkers that optimize sensitivity and specificity. In this study, we determined whether CSF levels of the nerve growth factor (NGF) precursor protein, proNGF, increased during the progression of AD, mirroring its up regulation in postmortem brain samples of people who died with a clinical diagnosis of mild cognitive impairment (MCI) or AD. Immunoblot analysis was performed on ventricular CSF harvested from participants in the Rush Religious Orders Study with an antemortem clinical diagnosis of no cognitive impairment (NCI), amnestic MCI (aMCI, a putative prodromal AD stage), or mild/moderate AD. ProNGF levels were increased 55% in aMCI and 70% in AD compared to NCI. Increasing CSF proNGF levels correlated with impairment on cognitive test scores. In a complementary study, we found that proNGF was significantly increased by 30% in lumbar CSF samples derived from patients with a clinical dementia rating (CDR) of 0.5 or 1 compared to those with a CDR = 0. Notably, proNGF/Aβ1-42 levels were 50% higher in CDR 0.5 and CDR 1 compared to CDR 0 controls. By contrast, ELISA measurements of CSF brain-derived neurotrophic factor (BDNF) did not distinguish aMCI from NCI. Taken together, these results suggest that proNGF protein levels may augment the diagnostic accuracy of currently used CSF biomarker panels

Incremental value of amyloid-PET versus CSF in the diagnosis of Alzheimer's disease

To compare the incremental diagnostic value of amyloid-PET and CSF (Aβ42, tau, and phospho-tau) in AD diagnosis in patients with mild cognitive impairment (MCI) or mild dementia, in order to improve the definition of diagnostic algorithm

Levodopa may affect cortical excitability in Parkinson's disease patients with cognitive deficits as revealed by reduced activity of cortical sources of resting state electroencephalographic rhythms

We hypothesized that dopamine neuromodulation might affect cortical excitability in Parkinson's disease (PD) patients set in quiet wakefulness, as revealed by resting state eyes-closed electroencephalographic (rsEEG) rhythms at alpha frequencies (8–12 Hz). Clinical and rsEEG rhythms in PD with dementia (N = 35), PD with mild cognitive impairment (N = 50), PD with normal cognition (N = 35), and normal (N = 50) older adults were available from an international archive. Cortical rsEEG sources were estimated by exact low-resolution brain electromagnetic tomography. Compared with the normal older group, the PD groups showed reduced occipital alpha sources and increased widespread delta (&lt;4 Hz) sources. Widespread frontal and temporal alpha sources exhibited an increase in PD with dementia compared with PD with mild cognitive impairment and PD with normal cognition groups, as function of dopamine depletion severity, typically greater in the former than the latter groups. A daily dose of levodopa induced a widespread reduction in cortical delta and alpha sources in a subgroup of 13 PD patients under standard chronic dopaminergic regimen. In PD patients in quiet wakefulness, alpha cortical source activations may reflect an excitatory effect of dopamine neuromodulation