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Dive into the research topics where Natalia Acosta-Baena is active.

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Featured researches published by Natalia Acosta-Baena.


Lancet Neurology | 2012

Brain imaging and fluid biomarker analysis in young adults at genetic risk for autosomal dominant Alzheimer's disease in the presenilin 1 E280A kindred: a case-control study

Eric M. Reiman; Yakeel T. Quiroz; Adam S. Fleisher; Kewei Chen; Carlos Velez-Pardo; Marlene Jimenez-Del-Rio; Anne M. Fagan; Aarti R. Shah; Sergio Alvarez; Andres Arbelaez; Margarita Giraldo; Natalia Acosta-Baena; Reisa A. Sperling; Brad Dickerson; Chantal E. Stern; Victoria Tirado; Claudia Muñoz; Rebecca Reiman; Matthew J. Huentelman; Gene E. Alexander; Jessica B. Langbaum; Kenneth S. Kosik; Pierre N. Tariot; Francisco Lopera

BACKGROUND We have previously characterised functional brain abnormalities in young adults at genetic risk for late-onset Alzheimers disease. To gain further knowledge on the preclinical phase of Alzheimers disease, we sought to characterise structural and functional MRI, CSF, and plasma biomarkers in a cohort of young adults carrying a high-penetrance autosomal dominant mutation that causes early-onset Alzheimers disease. METHODS Between January and August, 2010, 18-26-year-old presenilin 1 (PSEN1) E280A mutation carriers and non-carriers from the Colombian Alzheimers Prevention Initiative Registry in Medellín Antioquia, Colombia, had structural MRI, functional MRI during associative memory encoding and novel viewing and control tasks, and cognitive assessments. Consenting participants also had lumbar punctures and venepunctures. Outcome measures were task-dependent hippocampal or parahippocampal activations and precuneus or posterior cingulate deactivations, regional grey matter reductions, CSF Aβ(1-42), total tau and phospho-tau(181) concentrations, and plasma Aβ(1-42) concentrations and Aβ(1-42):Aβ(1-40) ratios. Structural and functional MRI data were compared using automated brain mapping algorithms and search regions related to Alzheimers disease. Cognitive and fluid biomarkers were compared using Mann-Whitney tests. FINDINGS 44 participants were included: 20 PSEN1 E280A mutation carriers and 24 non-carriers. The carrier and non-carrier groups did not differ significantly in their dementia ratings, neuropsychological test scores, or proportion of apolipoprotein E (APOE) ɛ4 carriers. Compared with non-carriers, carriers had greater right hippocampal and parahippocampal activation (p=0·001 and p<0·014, respectively, after correction for multiple comparisons), less precuneus and posterior cingulate deactivation (all p<0·010 after correction), and less grey matter in several parietal regions (all p<0·002 uncorrected and corrected p=0·009 in the right parietal search region). In the 20 participants (ten PSEN1 E280A mutation carriers and ten non-carriers) who had lumbar punctures and venepunctures, mutation carriers had higher CSF Aβ(1-42) concentrations (p=0·008) and plasma Aβ(1-42) concentrations (p=0·01) than non-carriers. INTERPRETATION Young adults at genetic risk for autosomal dominant Alzheimers disease have functional and structural MRI findings and CSF and plasma biomarker findings consistent with Aβ(1-42) overproduction. Although the extent to which the underlying brain changes are either neurodegenerative or developmental remain to be determined, this study shows the earliest known biomarker changes in cognitively normal people at genetic risk for autosomal dominant Alzheimers disease. FUNDING Banner Alzheimers Foundation, Nomis Foundation, Anonymous Foundation, Forget Me Not Initiative, Boston University Department of Psychology, Colciencias, National Institute on Aging, National Institute of Neurological Disorders and Stroke, and the State of Arizona.


Lancet Neurology | 2012

Florbetapir PET analysis of amyloid-β deposition in the presenilin 1 E280A autosomal dominant Alzheimer's disease kindred: a cross-sectional study.

Adam S. Fleisher; Kewei Chen; Yakeel T. Quiroz; Laura Jakimovich; Madelyn Gutierrez Gomez; Carolyn M. Langois; Jessica B. Langbaum; Napatkamon Ayutyanont; Auttawut Roontiva; Pradeep Thiyyagura; Wendy Lee; Hua Mo; Liliana Lopez; Sonia Moreno; Natalia Acosta-Baena; Margarita Giraldo; Gloria María Gallego García; Rebecca Reiman; Matthew J. Huentelman; Kenneth S. Kosik; Pierre N. Tariot; Francisco Lopera; Eric M. Reiman

BACKGROUND Fibrillar amyloid-β (Aβ) is thought to begin accumulating in the brain many years before the onset of clinical impairment in patients with Alzheimers disease. By assessing the accumulation of Aβ in people at risk of genetic forms of Alzheimers disease, we can identify how early preclinical changes start in individuals certain to develop dementia later in life. We sought to characterise the age-related accumulation of Aβ deposition in presenilin 1 (PSEN1) E280A mutation carriers across the spectrum of preclinical disease. METHODS Between Aug 1 and Dec 6, 2011, members of the familial Alzheimers disease Colombian kindred aged 18-60 years were recruited from the Alzheimers Prevention Initiatives registry at the University of Antioquia, Medellín, Colombia. Cross-sectional assessment using florbetapir PET was done in symptomatic mutation carriers with mild cognitive impairment or mild dementia, asymptomatic carriers, and asymptomatic non-carriers. These assessments were done at the Banner Alzheimers Institute in Phoenix, AZ, USA. A cortical grey matter mask consisting of six predefined regions.was used to measure mean cortical florbetapir PET binding. Cortical-to-pontine standard-uptake value ratios were used to characterise the cross-sectional accumulation of fibrillar Aβ deposition in carriers and non-carriers with regression analysis and to estimate the trajectories of fibrillar Aβ deposition. FINDINGS We enrolled a cohort of 11 symptomatic individuals, 19 presymptomatic mutation carriers, and 20 asymptomatic non-carriers, ranging in age from 20 to 56 years. There was greater florbetapir binding in asymptomatic PSEN1 E280A mutation carriers than in age matched non-carriers. Fibrillar Aβ began to accumulate in PSEN 1E280A mutation carriers at a mean age of 28·2 years (95% CI 27·3-33·4), about 16 years and 21 years before the predicted median ages at mild cognitive impairment and dementia onset, respectively. (18)F florbetapir binding rose steeply over the next 9·4 years and plateaued at a mean age of 37·6 years (95% CI 35·3-40·2), about 6 and 11 years before the expected respective median ages at mild cognitive impairment and dementia onset. Prominent florbetapir binding was seen in the anterior and posterior cingulate, precuneus, and parietotemporal and frontal grey matter, as well as in the basal ganglia. Binding in the basal ganglia was not seen earlier or more prominently than in other regions. INTERPRETATION These findings contribute to the understanding of preclinical familial Alzheimers disease and help set the stage for assessment of amyloid-modifying treatments in the prevention of familial Alzheimers disease. FUNDING Avid Radiopharmaceuticals, Banner Alzheimers Foundation, Nomis Foundation, Anonymous Foundation, Forget Me Not Initiative, Colciencias, National Institute on Aging, and the State of Arizona.


Neurology | 2014

Symptom onset in autosomal dominant Alzheimer disease: A systematic review and meta-analysis

Davis C. Ryman; Natalia Acosta-Baena; Paul S. Aisen; Bird Td; Adrian Danek; Nick C. Fox; Alison Goate; Peter Frommelt; Bernardino Ghetti; Jessica B. Langbaum; Francisco Lopera; Ralph N. Martins; Colin L. Masters; Richard Mayeux; Eric McDade; Sonia Moreno; Eric M. Reiman; John M. Ringman; Steve Salloway; Peter R. Schofield; Reisa A. Sperling; Pierre N. Tariot; Chengjie Xiong; John C. Morris; Randall J. Bateman

Objective: To identify factors influencing age at symptom onset and disease course in autosomal dominant Alzheimer disease (ADAD), and develop evidence-based criteria for predicting symptom onset in ADAD. Methods: We have collected individual-level data on ages at symptom onset and death from 387 ADAD pedigrees, compiled from 137 peer-reviewed publications, the Dominantly Inherited Alzheimer Network (DIAN) database, and 2 large kindreds of Colombian (PSEN1 E280A) and Volga German (PSEN2 N141I) ancestry. Our combined dataset includes 3,275 individuals, of whom 1,307 were affected by ADAD with known age at symptom onset. We assessed the relative contributions of several factors in influencing age at onset, including parental age at onset, age at onset by mutation type and family, and APOE genotype and sex. We additionally performed survival analysis using data on symptom onset collected from 183 ADAD mutation carriers followed longitudinally in the DIAN Study. Results: We report summary statistics on age at onset and disease course for 174 ADAD mutations, and discover strong and highly significant (p < 10−16, r2 > 0.38) correlations between individual age at symptom onset and predicted values based on parental age at onset and mean ages at onset by mutation type and family, which persist after controlling for APOE genotype and sex. Conclusions: Significant proportions of the observed variance in age at symptom onset in ADAD can be explained by family history and mutation type, providing empirical support for use of these data to estimate onset in clinical research.


JAMA Neurology | 2015

Associations Between Biomarkers and Age in the Presenilin 1 E280A Autosomal Dominant Alzheimer Disease Kindred A Cross-sectional Study

Adam S. Fleisher; Kewei Chen; Yakeel T. Quiroz; Laura Jakimovich; Madelyn Gutierrez Gomez; Carolyn M. Langois; Jessica B. Langbaum; Auttawut Roontiva; Pradeep Thiyyagura; Wendy Lee; Napatkamon Ayutyanont; Liliana Lopez; Sonia Moreno; Claudia Muñoz; Victoria Tirado; Natalia Acosta-Baena; Anne M. Fagan; Margarita Giraldo; Gloria María Gallego García; Matthew J. Huentelman; Pierre N. Tariot; Francisco Lopera; Eric M. Reiman

IMPORTANCE Age-associated changes in brain imaging and fluid biomarkers are characterized and compared in presenilin 1 (PSEN1)E280A mutation carriers and noncarriers from the worlds largest known autosomal dominant Alzheimer disease (AD) kindred. OBJECTIVE To characterize and compare age-associated changes in brain imaging and fluid biomarkers in PSEN1 E280A mutation carriers and noncarriers. DESIGN, SETTING, AND PARTICIPANTS Cross-sectional measures of 18F-florbetapir positron emission tomography, 18F-fludeoxyglucose positron emission tomography, structural magnetic resonance imaging, cerebrospinal fluid (CSF), and plasma biomarkers of AD were assessed from 54 PSEN1 E280A kindred members (age range, 20-59 years). MAIN OUTCOMES AND MEASURES We used brain mapping algorithms to compare regional cerebral metabolic rates for glucose and gray matter volumes in cognitively unimpaired mutation carriers and noncarriers. We used regression analyses to characterize associations between age and the mean cortical to pontine 18F-florbetapir standard uptake value ratios, precuneus cerebral metabolic rates for glucose, hippocampal gray matter volume, CSF Aβ1-42, total tau and phosphorylated tau181, and plasma Aβ measurements. Age at onset of progressive biomarker changes that distinguish carriers from noncarriers was estimated using best-fitting regression models. RESULTS Compared with noncarriers, cognitively unimpaired mutation carriers had significantly lower precuneus cerebral metabolic rates for glucose, smaller hippocampal volume, lower CSF Aβ1-42, higher CSF total tau and phosphorylated tau181, and higher plasma Aβ1-42 measurements. Sequential changes in biomarkers were seen at age 20 years (95% CI, 14-24 years) for CSF Aβ1-42, age 16 years (95% CI, 11-24 years) for the mean cortical 18F-florbetapir standard uptake value ratio, age 15 years (95% CI, 10-24 years) for precuneus cerebral metabolic rate for glucose, age 15 years (95% CI, 7-20 years) for CSF total tau, age 13 years (95% CI, 8-19 years) for phosphorylated tau181, and age 6 years (95% CI, 1-10 years) for hippocampal volume, with cognitive decline up to 6 years before the kindreds estimated median age of 44 years (95% CI, 43-45 years) at mild cognitive impairment diagnosis. No age-associated findings were seen in plasma Aβ1-42 or Aβ1-40. CONCLUSIONS AND RELEVANCE This cross-sectional study provides additional information about the course of different AD biomarkers in the preclinical and clinical stages of autosomal dominant AD.


The Journal of Clinical Psychiatry | 2014

The Alzheimer's prevention initiative composite cognitive test score: sample size estimates for the evaluation of preclinical Alzheimer's disease treatments in presenilin 1 E280A mutation carriers.

Napatkamon Ayutyanont; Jessica B. Langbaum; Suzanne Hendrix; Kewei Chen; Adam S. Fleisher; Michel Friesenhahn; Michael Ward; Camilo Aguirre; Natalia Acosta-Baena; Lucia Madrigal; Claudia Muñoz; Victoria Tirado; Sonia Moreno; Pierre N. Tariot; Francisco Lopera; Eric M. Reiman

OBJECTIVE To identify a cognitive composite that is sensitive to tracking preclinical Alzheimers disease decline to be used as a primary end point in treatment trials. METHOD We capitalized on longitudinal data collected from 1995 to 2010 from cognitively unimpaired presenilin 1 (PSEN1) E280A mutation carriers from the worlds largest known early-onset autosomal dominant Alzheimers disease kindred to identify a composite cognitive test with the greatest statistical power to track preclinical Alzheimers disease decline and estimate the number of carriers age 30 years and older needed to detect a treatment effect in the Alzheimers Prevention Initiatives (API) preclinical Alzheimers disease treatment trial. The mean-to-standard-deviation ratios (MSDRs) of change over time were calculated in a search for the optimal combination of 1 to 7 cognitive tests/subtests drawn from the neuropsychological test battery in cognitively unimpaired mutation carriers during a 2- and 5-year follow-up period (n = 78 and 57), using data from noncarriers (n = 31 and 56) during the same time period to correct for aging and practice effects. Combinations that performed well were then evaluated for robustness across follow-up years, occurrence of selected items within top-performing combinations, and representation of relevant cognitive domains. RESULTS The optimal test combination included Consortium to Establish a Registry for Alzheimers Disease (CERAD) Word List Recall, CERAD Boston Naming Test (high frequency items), Mini-Mental State Examination (MMSE) Orientation to Time, CERAD Constructional Praxis, and Ravens Progressive Matrices (Set A), with an MSDR of 1.62. This composite is more sensitive than using either the CERAD Word List Recall (MSDR = 0.38) or the entire CERAD-Col battery (MSDR = 0.76). A sample size of 75 cognitively normal PSEN1 E280A mutation carriers aged 30 years and older per treatment arm allows for a detectable treatment effect of 29% in a 60-month trial (80% power, P = .05). CONCLUSIONS We have identified a composite cognitive test score representing multiple cognitive domains that, compared to the most sensitive single test item, has improved power to track preclinical Alzheimers disease decline in autosomal dominant Alzheimers disease mutation carriers and to evaluate preclinical Alzheimers disease treatments. This API composite cognitive test score will be used as the primary end point in the first API trial in cognitively unimpaired autosomal dominant Alzheimers disease carriers within 15 years of their estimated age at clinical onset. We have independently confirmed our findings in a separate cohort of cognitively healthy older adults who progressed to the clinical stages of late-onset Alzheimers disease, described in a separate report, and continue to refine the composite in independent cohorts and compared with other analytic approaches.


JAMA Neurology | 2015

Brain Imaging and Blood Biomarker Abnormalities in Children With Autosomal Dominant Alzheimer Disease: A Cross-Sectional Study

Yakeel T. Quiroz; Aaron P. Schultz; Kewei Chen; Hillary Protas; Michael Brickhouse; Adam S. Fleisher; Jessica B. Langbaum; Pradeep Thiyyagura; Anne M. Fagan; Aarti R. Shah; Martha Muniz; Joseph F. Arboleda-Velasquez; Claudia Muñoz; Gloria María Gallego García; Natalia Acosta-Baena; Margarita Giraldo; Victoria Tirado; Dora Ramirez; Pierre N. Tariot; Bradford C. Dickerson; Reisa A. Sperling; Francisco Lopera; Eric M. Reiman

IMPORTANCE Brain imaging and fluid biomarkers are characterized in children at risk for autosomal dominant Alzheimer disease (ADAD). OBJECTIVE To characterize and compare structural magnetic resonance imaging (MRI), resting-state and task-dependent functional MRI, and plasma amyloid-β (Aβ) measurements in presenilin 1 (PSEN1) E280A mutation-carrying and noncarrying children with ADAD. DESIGN, SETTING, AND PARTICIPANTS Cross-sectional measures of structural and functional MRI and plasma Aβ assays were assessed in 18 PSEN1 E280A carriers and 19 noncarriers aged 9 to 17 years from a Colombian kindred with ADAD. Recruitment and data collection for this study were conducted at the University of Antioquia and the Hospital Pablo Tobon Uribe in Medellín, Colombia, between August 2011 and June 2012. MAIN OUTCOMES AND MEASURES All participants had blood sampling, structural MRI, and functional MRI during associative memory encoding and resting-state and cognitive assessments. Outcome measures included plasma Aβ1-42 concentrations and Aβ1-42:Aβ1-40 ratios, memory encoding-dependent activation changes, resting-state connectivity, and regional gray matter volumes. Structural and functional MRI data were compared using automated brain mapping algorithms and search regions related to AD. RESULTS Similar to findings in adult mutation carriers, in the later preclinical and clinical stages of ADAD, mutation-carrying children were distinguished from control individuals by significantly higher plasma Aβ1-42 levels (mean [SD]: carriers, 18.8 [5.1] pg/mL and noncarriers, 13.1 [3.2] pg/mL; P < .001) and Aβ1-42:Aβ1-40 ratios (mean [SD]: carriers, 0.32 [0.06] and noncarriers, 0.21 [0.03]; P < .001), as well as less memory encoding task-related deactivation in parietal regions (eg, mean [SD] parameter estimates for the right precuneus were -0.590 [0.50] for noncarriers and -0.087 [0.38] for carriers; P < .005 uncorrected). Unlike carriers in the later stages, mutation-carrying children demonstrated increased functional connectivity of the posterior cingulate cortex with medial temporal lobe regions (mean [SD] parameter estimates were 0.038 [0.070] for noncarriers and 0.190 [0.057] for carriers), as well as greater gray matter volumes in temporal regions (eg, left parahippocampus; P < . 049, corrected for multiple comparisons). CONCLUSIONS AND RELEVANCE Children at genetic risk for ADAD have functional and structural brain changes and abnormal levels of plasma Aβ1-42. The extent to which the underlying brain changes are either neurodegenerative or developmental remains to be determined. This study provides additional information about the earliest known biomarker changes associated with ADAD.


Biomedica | 2015

Novel cerebrotendinous xanthomatosis mutation causes familial early dementia in Colombia

Margarita Giraldo-Chica; Natalia Acosta-Baena; Lorena Urbano; Lina Velilla; Francisco Lopera; Nicolás Pineda

INTRODUCTION Cerebrotendinous xanthomatosis is an infrequent cause of dementia. It is an autosomal recessive disorder with clinical and molecular heterogeneity. OBJECTIVE To identify the presence of a possible mutation in a Colombian family with several affected siblings and clinical characteristics compatible with cerebrotendinous xanthomatosis associated to early dementia. MATERIALS AND METHODS We studied a series of cases with longitudinal follow-up and genetic analysis. RESULTS These individuals had xanthomas, mental retardation, psychiatric disorders, behavioral changes, and multiple domains cognitive impairment with dysexecutive dominance that progressed to early dementia. CYP27A1 gene coding region sequencing revealed a novel mutation (c.1183_1184insT). CONCLUSION The mutation found in this family is responsible for the described dementia features. Early identification of familial history with mental retardation, xanthomas and cognitive impairment might prevent the progression to this treatable type of dementia. Even though this mutation lies in the most frequently mutated codon of CYP27A1 gene, it has not been reported previously.


Biomedica | 2015

Nueva mutación para xantomatosis cerebrotendinosa causa demencia temprana familiar en Colombia

Margarita Giraldo-Chica; Natalia Acosta-Baena; Lorena Urbano; Lina Velilla; Francisco Lopera; Nicolás Pineda

INTRODUCTION Cerebrotendinous xanthomatosis is an infrequent cause of dementia. It is an autosomal recessive disorder with clinical and molecular heterogeneity. OBJECTIVE To identify the presence of a possible mutation in a Colombian family with several affected siblings and clinical characteristics compatible with cerebrotendinous xanthomatosis associated to early dementia. MATERIALS AND METHODS We studied a series of cases with longitudinal follow-up and genetic analysis. RESULTS These individuals had xanthomas, mental retardation, psychiatric disorders, behavioral changes, and multiple domains cognitive impairment with dysexecutive dominance that progressed to early dementia. CYP27A1 gene coding region sequencing revealed a novel mutation (c.1183_1184insT). CONCLUSION The mutation found in this family is responsible for the described dementia features. Early identification of familial history with mental retardation, xanthomas and cognitive impairment might prevent the progression to this treatable type of dementia. Even though this mutation lies in the most frequently mutated codon of CYP27A1 gene, it has not been reported previously.


The Journal of Prevention of Alzheimer's Disease | 2016

The value of pre-screening in the alzheimer’s prevention initiative (api) autosomal dominant alzheimer’s disease trial

Silvia Rios-Romenets; M. Giraldo-Chica; Hugo Lopez; Francisco Piedrahita; Claudia Ramos; Natalia Acosta-Baena; Claudia Muñoz; Paula Ospina; Carlos Tobón; William Cho; Michael Ward; Jessica B. Langbaum; Pierre N. Tariot; Eric M. Reiman; Francisco Lopera

The Alzheimer’s Prevention Initiative (API) Autosomal Dominant Alzheimer’s Disease (ADAD) trial evaluates the anti-amyloid-β antibody crenezumab in cognitively unimpaired persons who, based on genetic background and age, are at high imminent risk of clinical progression, and provides a powerful test of the amyloid hypothesis. The Neurosciences Group of Antioquia implemented a pre-screening process with the goals of decreasing screen failures and identifying participants most likely to adhere to trial requirements of the API ADAD trial in cognitively unimpaired members of Presenilin1 E280A mutation kindreds. The pre-screening failure rate was 48.2%: the primary reason was expected inability to comply with the protocol, chiefly due to work requirements. More carriers compared to non-carriers, and more males compared to females, failed prescreening. Carriers with illiteracy or learning/comprehension difficulties failed pre-screening more than non-carriers. With the Colombian API Registry and our prescreening efforts, we randomized 169 30-60 year-old cognitively unimpaired carriers and 83 non-carriers who agreed to participate in the trial for at least 60 months. Our findings suggest multiple benefits of implementing a pre-screening process for enrolling prevention trials in ADAD.


Alzheimer's & Dementia: Translational Research & Clinical Interventions | 2018

Adherence/Retention Alzheimer's Prevention Initiative Colombia Plan

Silvia Rios-Romenets; Natalia Acosta-Baena; Liliana Lopez; Lucia Madrigal-Zapata; Helen Street; Laura Jakimovich; Jessica B. Langbaum; William Cho; Eric M. Reiman; Pierre N. Tariot; Francisco Lopera

The Alzheimers Prevention Initiative Colombia Trial is a collaborative project involving the Neurosciences Group of Antioquia, Genentech/Roche, and the Banner Alzheimers Institute, studying whether crenezumab can delay or prevent the clinical onset of Alzheimers disease in cognitively unimpaired individuals who carry the PSEN1 E280A mutation. In an effort to optimize participant compliance and adherence and maintain interest in the trial for its duration, the Neurosciences Group of Antioquia developed an “Adherence/Retention Plan.” This plan identifies potential barriers to trial adherence related to characteristics of the participants and study partners, protocol design, sponsors, investigators, environmental factors, and characteristics of this population in general and identifies potential solutions to these barriers.

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Kewei Chen

Beijing Normal University

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Laura Jakimovich

University of Rochester Medical Center

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