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  • 1.
    Abulafia, Carolina
    et al.
    FLENI Foundation Department of Psychiatry, Buenos Aires, Argentina / Applied Neuroscience Laboratory, Institute for Biomedical Research, School of Medical Sciences, Universidad Católica Argentina, Buenos Aires, Argentina / Consejo Nacional de Investigaciones Científicas y Técnicas, Buenos Aires, Argentina.
    Duarte-Abritta, Bárbara
    FLENI Foundation Department of Psychiatry, Buenos Aires, Argentina.
    Villarreal, Mirta F.
    FLENI Foundation Department of Psychiatry, Buenos Aires, Argentina / Consejo Nacional de Investigaciones Científicas y Técnicas, Buenos Aires, Argentina.
    Ladrón-de-Guevara, Maria S.
    FLENI Foundation Department of Psychiatry, Buenos Aires, Argentina / Consejo Nacional de Investigaciones Científicas y Técnicas, Buenos Aires, Argentina.
    Garcia, Celeste
    FLENI Foundation Department of Psychiatry, Buenos Aires, Argentina.
    Sequeyra, Geraldine
    FLENI Foundation Department of Psychiatry, Buenos Aires, Argentina.
    Sevlever, Gustavo
    FLENI Foundation Department of Psychiatry, Buenos Aires, Argentina.
    Fiorentini, Leticia
    FLENI Foundation Department of Psychiatry, Buenos Aires, Argentina.
    Bär, Karl-Jürgen
    Department of Psychiatry and Psychotherapy, Universitätsklinikum Jena, Friedrich-Schiller-Universität, Jena, Germany.
    Gustafson, Deborah R.
    University of Skövde, School of Health and Education. University of Skövde, Health and Education. Department of Neurology, State University of New York, Downstate Medical Center, Brooklyn, NY, USA / Neuropsychiatric Epidemiology Unit, University of Gothenburg, Gothenburg, Sweden.
    Vigo, Daniel E.
    Applied Neuroscience Laboratory, Institute for Biomedical Research, School of Medical Sciences, Universidad Católica Argentina, Buenos Aires, Argentina / Consejo Nacional de Investigaciones Científicas y Técnicas, Buenos Aires, Argentina.
    Guinjoan, Salvador M.
    FLENI Foundation Department of Psychiatry, Buenos Aires, Argentina / Consejo Nacional de Investigaciones Científicas y Técnicas, Buenos Aires, Argentina / FLENI Teaching Unit, Department of Psychiatry and Mental Health, University of Buenos Aires School of Medicine, Buenos Aires, Argentina / Department of Neurophysiology, University of Buenos Aires School of Psychology, Buenos Aires, Argentina.
    Relationship between Cognitive and Sleep-wake Variables in Asymptomatic Offspring of Patients with Late-onset Alzheimer's Disease2017In: Frontiers in Aging Neuroscience, ISSN 1663-4365, E-ISSN 1663-4365, Vol. 9, article id 93Article in journal (Refereed)
    Abstract [en]

    Early neuropathological changes characteristic of late-onset Alzheimer's disease (LOAD) involve brain stem and limbic structures that regulate neurovegetative functions, including sleep-wake rhythm. Indeed, sleep pattern is an emerging biomarker and a potential pathophysiological mechanism in LOAD. We hypothesized that cognitively asymptomatic, middle-aged offspring of patients with LOAD (O-LOAD) would display a series of circadian rhythm abnormalities prior to the onset of objective cognitive alterations. We tested 31 children of patients with LOAD (O-LOAD) and 19 healthy individuals without family history of Alzheimer's disease (control subjects, CS) with basic tests of cognitive function, as well as actigraphy measures of sleep-wake rhythm, cardiac autonomic function, and bodily temperature. Unexpectedly, O-LOAD displayed subtle but significant deficits in verbal episodic memory (Rey Auditory Verbal Learning Test delayed recall 10.6 +/- 0.4 vs. 8.6 +/- 0.6, t = 4.97, df = 49, p < 0.01) and language (Weschler's vocabulary 51.4 +/- 1.3 vs. 44.3 +/- 1.5, t = 2.49, df = 49, p < 0.001) compared to CS, even though all participants had results within the clinically normal range. O-LOAD showed a phase-delayed rhythm of body temperature (2.56 +/- 0.47 h vs. 3.8 +/- 0.26 h, t = 2.48, df = 40, p = 0.031). Cognitive performance in O-LOAD was associated with a series of cardiac autonomic sleep-wake variables; specifically indicators of greater sympathetic activity at night were related to poorer cognition. The present results suggest sleep pattern deserves further study as a potential neurobiological signature in LOAD, even in middle-aged, at risk individuals.

  • 2.
    Arnoldussen, Ilse A. C.
    et al.
    Department of Anatomy, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands / Radboud Alzheimer Center, Radboud University Medical Center, Nijmegen, the Netherlands.
    Gustafson, Deborah R.
    University of Skövde, School of Health and Education. University of Skövde, Health and Education. Department of Neurology, The State University of New York Downstate Health Sciences University, Brooklyn, USA.
    Leijsen, Esther M. C.
    Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands.
    de Leeuw, Frank-Erik
    Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands.
    Kiliaan, Amanda J.
    Department of Anatomy, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands / Radboud Alzheimer Center, Radboud University Medical Center, Nijmegen, the Netherlands.
    Adiposity is related to cerebrovascular and brain volumetry outcomes in the RUN DMC study2019In: Neurology, ISSN 0028-3878, E-ISSN 1526-632X, Vol. 93, no 9, p. e864-e878Article in journal (Refereed)
    Abstract [en]

    OBJECTIVE: Adiposity predictors, body mass index (BMI), waist circumference (WC), and blood leptin and total adiponectin levels were associated with components of cerebral small vessel disease (CSVD) and brain volumetry in 503 adults with CSVD who were ≥50 years of age and enrolled in the Radboud University Nijmegen Diffusion Tensor and Magnetic Resonance Imaging Cohort (RUN DMC).

    METHODS: RUN DMC participants were followed up for 9 years (2006-2015). BMI, WC, brain imaging, and dementia diagnoses were evaluated at baseline and follow-up. Adipokines were measured at baseline. Brain imaging outcomes included CSVD components, white matter hyperintensities, lacunes, microbleeds, gray and white matter, hippocampal, total brain, and intracranial volumes.

    RESULTS: Cross-sectionally among men at baseline, higher BMI, WC, and leptin were associated with lower gray matter and total brain volumes, and higher BMI and WC were associated with lower hippocampal volume. At follow-up 9 years later, higher BMI was cross-sectionally associated with lower gray matter volume, and an obese WC (>102 cm) was protective for ≥1 lacune or ≥1 microbleed in men. In women, increasing BMI and overweight or obesity (BMI ≥25 kg/m2 or WC >88 cm) were associated with ≥1 lacune. Longitudinally, over 9 years, a baseline obese WC was associated with decreasing hippocampal volume, particularly in men, and increasing white matter hyperintensity volume in women and men.

    CONCLUSIONS: Anthropometric and metabolic adiposity predictors were differentially associated with CSVD components and brain volumetry outcomes by sex. Higher adiposity is associated with a vascular-neurodegenerative spectrum among adults at risk for vascular forms of cognitive impairment and dementias.

  • 3.
    Arnoldussen, Ilse A. C.
    et al.
    Department of Anatomy, Donders Institute for Brain, Cognition and Behaviour, Radboud university medical center, Nijmegen, The Netherlands.
    Sundh, Valter
    Neuropsychiatric Epidemiology Unit, Sahlgrenska Academy at University of Gothenburg, Institute for Neuroscience and Physiology, Gothenburg, Sweden.
    Bäckman, Kristoffer
    Neuropsychiatric Epidemiology Unit, Sahlgrenska Academy at University of Gothenburg, Institute for Neuroscience and Physiology, Gothenburg, Sweden.
    Kern, Silke
    Neuropsychiatric Epidemiology Unit, Sahlgrenska Academy at University of Gothenburg, Institute for Neuroscience and Physiology, Gothenburg, Sweden.
    Östling, Svante
    Neuropsychiatric Epidemiology Unit, Sahlgrenska Academy at University of Gothenburg, Institute for Neuroscience and Physiology, Gothenburg, Sweden.
    Blennow, Kaj
    Neuropsychiatric Epidemiology Unit, Sahlgrenska Academy at University of Gothenburg, Institute for Neuroscience and Physiology, Gothenburg, Sweden.
    Zetterberg, Henrik
    Neuropsychiatric Epidemiology Unit, Sahlgrenska Academy at University of Gothenburg, Institute for Neuroscience and Physiology, Gothenburg, Sweden.
    Skoog, Ingmar
    Neuropsychiatric Epidemiology Unit, Sahlgrenska Academy at University of Gothenburg, Institute for Neuroscience and Physiology, Gothenburg, Sweden.
    Kiliaan, Amanda J.
    Department of Anatomy, Donders Institute for Brain, Cognition and Behaviour, Radboud university medical center, Nijmegen, The Netherlands.
    Gustafson, Deborah R.
    University of Skövde, School of Health and Education. University of Skövde, Health and Education. Department of Neurology, State University of New York, Downstate Medical Center, Brooklyn, NY, USA / Neuropsychiatric Epidemiology Unit, Sahlgrenska Academy at University of Gothenburg, Institute for Neuroscience and Physiology, Gothenburg, Sweden.
    A 10-Year Follow-Up of Adiposity and Dementia in Swedish Adults Aged 70 Years and Older2018In: Journal of Alzheimer's Disease, ISSN 1387-2877, E-ISSN 1875-8908, Vol. 63, no 4, p. 1325-1335Article in journal (Refereed)
    Abstract [en]

    Background: Adiposity measured in mid-or late-life and estimated using anthropometric measures such as body mass index (BMI) and waist-to-hip ratio (WHR), or metabolic markers such as blood leptin and adiponectin levels, is associated with late-onset dementia risk. However, during later life, this association may reverse and aging- and dementia-related processes may differentially affect adiposity measures.

    Objective: We explored associations of concurrent BMI, WHR, and blood leptin and high molecular weight adiponectin levels with dementia occurrence.

    Methods: 924 Swedish community-dwelling elderly without dementia, aged 70 years and older, systematically-sampled by birth day and birth year population-based in the Gothenburg city region of Sweden. The Gothenburg Birth Cohort Studies are designed for evaluating risk and protective factors for dementia. All dementias diagnosed after age 70 for 10 years were identified. Multivariable logistic regression models were used to predict dementia occurrence between 2000-2005, 2005-2010, and 2000-2010 after excluding prevalent baseline (year 2000) dementias. Baseline levels of BMI, WHR, leptin, and adiponectin were used.

    Results: Within 5 years of baseline, low BMI (<20 kg/m(2)) was associated with higher odds of dementia compared to those in the healthy BMI category (>= 20-24.9 kg/m(2)). Compared to the lowest quartile, leptin levels in the second quartile were associated with lower odds of dementia in women (p < 0.05).

    Conclusion: In late-life, anthropometric and metabolic adiposity measures appear to be differentially associated with dementia risk. While BMI and leptin levels are highly positively correlated, our results show that their association with dementia at age >= 70 years, is asynchronous. These data suggest that with aging, the complexity of the adiposity exposure may increase and suggests metabolic dysregulation. Additional studies are needed to better understand this complexity.

  • 4.
    Franx, Bart A. A.
    et al.
    Department of Anatomy, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands.
    Arnoldussen, Ilse A. C.
    Department of Anatomy, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands.
    Kiliaan, Amanda J.
    Department of Anatomy, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands.
    Gustafson, Deborah R.
    University of Skövde, School of Health and Education. University of Skövde, Health and Education. Department of Neurology, Section for NeuroEpidemiology, State University of New York, Downstate Medical Center, USA / Neuropsychiatric Epidemiology Unit (EPINEP), Institute for Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden.
    Weight Loss in Patients with Dementia: Considering the Potential Impact of Pharmacotherapy2017In: Drugs & Aging, ISSN 1170-229X, E-ISSN 1179-1969, Vol. 34, no 6, p. 425-436Article, review/survey (Refereed)
    Abstract [en]

    Unintentional body weight loss is common in patients with dementia and is linked to cognitive impairment and poorer disease outcomes. It is proposed that some dementia medications with market approval, while aiming to improve cognitive and functional outcomes of a patient with dementia, are associated with reported body weight or body mass index loss. This review presents evidence in the published literature on body weight loss in dementia, describes selected theories behind body weight loss, evaluates the potential impact of approved dementia pharmacotherapies on body weight, considers the potential role for medical foods, understands the potential influence of treatments for neuropsychiatric symptoms and signs, and finally, summarizes this important area.

  • 5.
    Gustafson, Deborah R.
    University of Skövde, School of Health and Education. University of Skövde, Health and Education. Department of Neurology, State University of New York Downstate Medical Center, New York, USA.
    Adipose Tissue Complexities in Dyslipidemias2019In: Dyslipidemia / [ed] Samy I. McFarlane, London: IntechOpen , 2019, p. 1-22Chapter in book (Refereed)
    Abstract [en]

    Adipose tissue is the largest organ in the human body and, in excess, contributes to dyslipidemias and the dysregulation of other vascular and metabolic processes. Adipose tissue is heterogeneous, comprised of several cell types based on morphology, cellular age, and endocrine and paracrine function. Adipose tissue depots are also regional, primarily due to sex differences and genetic variation. Adipose tissue is also characterized as subcutaneous vs. visceral. In addition, fatty deposits exist outside of adipose tissue, such as those surrounding the heart, or as infiltration of skeletal muscle. This review focuses on adipose tissue and its contribution to dyslipidemias. Dyslipidemias are defined as circulating blood lipid levels that are too high or altered. Lipids include both traditional and nontraditional species. Leaving aside traditional definitions, adipose tissue contributes to dyslipidemias in a myriad of ways. To address a small portion of this topic, we reviewed (a) adipose tissue location and cell types, (b) body composition, (c) endocrine adipose, (d) the fat-brain axis, and (e) genetic susceptibility. The influence of these complex aspects of adipose tissue on dyslipidemias and human health, illustrating that, once again, that adipose tissue is a quintessential, multifunctional tissue of the human body, will be summarized.

  • 6.
    Gustafson, Deborah R.
    University of Skövde, School of Health and Education. University of Skövde, Health and Education. Department of Neurology, State University of New York, Downstate Medical Center, New York, USA.
    Epidemiology Informs Randomized Clinical Trials of Cognitive Impairments and Late-Onset, Sporadic Dementias2018In: Journal of Neurology & Neuromedicine, ISSN 2572-942X, Vol. 3, no 5, p. 13-18Article in journal (Refereed)
  • 7.
    Gustafson, Deborah R.
    et al.
    University of Skövde, School of Health and Education. University of Skövde, Health and Education.
    McFarlane, S. I.
    Obesity, cardiovascular disease risk and frailty in aging women with HIV infectionIn: Geriatrics, ISSN 2308-3417Article in journal (Refereed)
  • 8.
    Gustafson, Deborah R.
    et al.
    University of Skövde, School of Health and Education. University of Skövde, Health and Education. State University of New York, NY, United States / University of Gothenburg.
    McFarlane, Samy I
    State University of New York, NY, United States.
    Epidemiology of Type 2 Diabetes and Dementia2018In: Type 2 Diabetes and Dementia / [ed] Velandai Srikanth and Zoe Arvanitakis, Elsevier, 2018, p. 5-27Chapter in book (Other academic)
    Abstract [en]

    Type 2 diabetes (T2D) has been associated with dementia in countless observational epidemiology studies. The expansion of epidemiologic research on T2D and dementia is due to scientific recognition of the roles of metabolic and vascular factors as etiologic players in dementia, as well as ominous global demographic shifts in aging, obesity, and dementia. This chapter addresses epidemiologic studies evaluating the association between T2D and late-onset dementias with foci on (1) T2D and dementia as syndromes; (2) T2D and mild cognitive impairment or cognition and cognitive decline; (3) vascular and metabolic risk factors and comorbidities; (4) genetic influences on the T2D-dementia association; (5) ethnoracial considerations; (6) T2D and brain outcomes and biological markers; and (7) clinical trials of T2D medications and cognition and dementia. © 2018 Elsevier Inc. All rights reserved.

  • 9.
    Sigström, Robert
    et al.
    Institute of Neuroscience and Physiology, University of Gothenburg, Sweden.
    Gustafson, Deborah R.
    Department of Neurology, SUNY Downstate Medical Center, NY, USA.
    Epidemiology of Psychotic Disorders: Methodological Issues and Empirical Findings2019In: Schizophrenia and Psychoses in Later Life: New Perspectives on Treatment, Research, and Policy / [ed] Carl I. Cohen, Paul D. Meesters, Cambridge: Cambridge University Press, 2019, p. 1-12Chapter in book (Refereed)
  • 10.
    Sánchez, Stella M.
    et al.
    Grupo de Investigación en Neurociencias Aplicadas a las Alteraciones de la Conducta, Instituto de Neurociencias FLENI-CONICET, Argentina / Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Argentina / Departamento de Física, Facultad de Cs. Exactas y Naturales, Universidad de Buenos Aires, Argentina.
    Duarte-Abritta, Bárbara
    Grupo de Investigación en Neurociencias Aplicadas a las Alteraciones de la Conducta, Instituto de Neurociencias FLENI-CONICET, Argentina.
    Abulafia, Carolina
    Grupo de Investigación en Neurociencias Aplicadas a las Alteraciones de la Conducta, Instituto de Neurociencias FLENI-CONICET, Argentina / Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Argentina / Institute for Biomedical Research (BIOMED), Pontifical Catholic University of Argentina, Argentina.
    De Pino, Gabriela
    Grupo de Investigación en Neurociencias Aplicadas a las Alteraciones de la Conducta, Instituto de Neurociencias FLENI-CONICET, Argentina / Escuela de Ciencia y Tecnología, Universidad Nacional de San Martín, Argentina / Laboratorio de Neuroimágenes, Departamento de Imágenes, Fundación FLENI, Argentina.
    Bocaccio, Hernan
    Grupo de Investigación en Neurociencias Aplicadas a las Alteraciones de la Conducta, Instituto de Neurociencias FLENI-CONICET, Argentina / Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Argentina / Departamento de Física, Facultad de Cs. Exactas y Naturales, Universidad de Buenos Aires, Argentina.
    Castro, Mariana N.
    Grupo de Investigación en Neurociencias Aplicadas a las Alteraciones de la Conducta, Instituto de Neurociencias FLENI-CONICET, Argentina / Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Argentina / Departamento de Fisiología, Facultad de Medicina, Universidad de Buenos Aires, Argentina / Departamento de Salud Mental, Facultad de Medicina, Universidad de Buenos Aires, Argentina.
    Sevlever, Gustavo E.
    Departamento de Neuropatología y Biología Molecular, Fundación FLENI, Argentina.
    Fonzo, Greg A.
    Institute of Early Life Adversity Research, Department of Psychiatry, University of Texas at Austin, United States.
    Nemeroff, Charles B.
    Institute of Early Life Adversity Research, Department of Psychiatry, University of Texas at Austin, United States.
    Gustafson, Deborah R.
    University of Skövde, School of Health and Education. University of Skövde, Health and Education. Department of Neurology, State University of New York University Downstate Medical Center, United States.
    Guinjoan, Salvador M.
    Grupo de Investigación en Neurociencias Aplicadas a las Alteraciones de la Conducta, Instituto de Neurociencias FLENI-CONICET, Argentina / Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Argentina / Departamento de Fisiología, Facultad de Medicina, Universidad de Buenos Aires, Argentina / Departamento de Salud Mental, Facultad de Medicina, Universidad de Buenos Aires, Argentina / Servicio de Psiquiatría, Fundación FLENI, Argentina / Neurofisiología I, Facultad de Psicología, Universidad de Buenos Aires, Argentina.
    Villarreal, Mirta F.
    Grupo de Investigación en Neurociencias Aplicadas a las Alteraciones de la Conducta, Instituto de Neurociencias FLENI-CONICET, Argentina / Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Argentina / Departamento de Física, Facultad de Cs. Exactas y Naturales, Universidad de Buenos Aires, Argentina.
    White matter fiber density abnormalities in cognitively normal adults at risk for late-onset Alzheimer´s disease2020In: Journal of Psychiatric Research, ISSN 0022-3956, E-ISSN 1879-1379, Vol. 122, p. 79-87Article in journal (Refereed)
    Abstract [en]

    Tau accumulation affecting white matter tracts is an early neuropathological feature of late-onset Alzheimer’s disease (LOAD). There is a need to ascertain methods for the detection of early LOAD features to help with disease prevention efforts. The microstructure of these tracts and anatomical brain connectivity can be assessed by analyzing diffusion MRI (dMRI) data. Considering that family history increases the risk of developing LOAD, we explored the microstructure of white matter through dMRI in 23 cognitively normal adults who are offspring of patients with Late-Onset Alzheimer’s Disease (O-LOAD) and 22 control subjects (CS) without family history of AD. We also evaluated the relation of white matter microstructure metrics with cortical thickness, volumetry, in vivo amyloid deposition (with the help of PiB positron emission tomography -PiB-PET) and regional brain metabolism (as FDG-PET) measures. Finally we studied the association between cognitive performance and white matter microstructure metrics. O-LOAD exhibited lower fiber density and fractional anisotropy in the posterior portion of the corpus callosum and right fornix when compared to CS. Among O-LOAD, reduced fiber density was associated with lower amyloid deposition in the right hippocampus, and greater cortical thickness in the left precuneus, while higher mean diffusivity was related with greater cortical thickness of the right superior temporal gyrus. Additionally, compromised white matter microstructure was associated with poorer semantic fluency. In conclusion, white matter microstructure metrics may reveal early differences in O-LOAD by virtue of parental history of the disorder, when compared to CS without a family history of LOAD. We demonstrate that these differences are associated with lower fiber density in the posterior portion of the corpus callosum and the right fornix.

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