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Callow DD, Spira AP, Zipunnikov V, Lu H, Wanigatunga SK, Rabinowitz JA, Albert M, Bakker A, Soldan A. Sleep and physical activity measures are associated with resting-state network segregation in non-demented older adults. Neuroimage Clin 2024; 43:103621. [PMID: 38823249 PMCID: PMC11179421 DOI: 10.1016/j.nicl.2024.103621] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2024] [Revised: 05/18/2024] [Accepted: 05/23/2024] [Indexed: 06/03/2024]
Abstract
Greater physical activity and better sleep are associated with reduced risk of cognitive decline and dementia among older adults, but little is known about their combined associations with measures of brain function and neuropathology. This study investigated potential independent and interactive cross-sectional relationships between actigraphy-estimated total volume of physical activity (TVPA) and sleep patterns [i.e., total sleep time (TST), sleep efficiency (SE)] with resting-state functional magnetic resonance imaging (rs-fMRI) measures of large scale network connectivity and positron emission tomography (PET) measures of amyloid-β. Participants were 135 non-demented older adults from the BIOCARD study (116 cognitively normal and 19 with mild cognitive impairment; mean age = 70.0 years). Using multiple linear regression analyses, we assessed the association between TVPA, TST, and SE with connectivity within the default-mode, salience, and fronto-parietal control networks, and with network modularity, a measure of network segregation. Higher TVPA and SE were independently associated with greater network modularity, although the positive relationship of SE with modularity was only present in amyloid-negative individuals. Additionally, higher TVPA was associated with greater connectivity within the default-mode network, while greater SE was related to greater connectivity within the salience network. In contrast, longer TST was associated with lower network modularity, particularly among amyloid-positive individuals, suggesting a relationship between longer sleep duration and greater network disorganization. Physical activity and sleep measures were not associated with amyloid positivity. These data suggest that greater physical activity levels and more efficient sleep may promote more segregated and potentially resilient functional networks and increase functional connectivity within specific large-scale networks and that the relationship between sleep and functional networks connectivity may depend on amyloid status.
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Affiliation(s)
- Daniel D Callow
- Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD.
| | - Adam P Spira
- Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD; Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, the United States of America; Johns Hopkins Center on Aging and Health, Baltimore, MD, the United States of America
| | - Vadim Zipunnikov
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, the United States of America
| | - Hanzhang Lu
- Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, the United States of America; Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, the United States of America
| | - Sarah K Wanigatunga
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, the United States of America
| | - Jill A Rabinowitz
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, New Brunswick, NJ US
| | - Marilyn Albert
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, the United States of America
| | - Arnold Bakker
- Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD; Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, the United States of America
| | - Anja Soldan
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, the United States of America
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2
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Laskow T, Langdon J, Sepehri S, Davalos-Bichara M, Varadhan R, Walston J. Soluble TNFR1 has greater reproducibility than IL-6 for the assessment of chronic inflammation in older adults: the case for a new inflammatory marker in aging. GeroScience 2024; 46:2521-2530. [PMID: 37993568 PMCID: PMC10828298 DOI: 10.1007/s11357-023-01006-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Accepted: 11/01/2023] [Indexed: 11/24/2023] Open
Abstract
Chronic inflammatory pathway activation, commonly referred to as "Inflammaging" or chronic inflammation (CI), is associated with frailty, cognitive and functional decline, and other causes of health span decline in older adults. We investigated the variability of candidate serum measures of CI among community-dwelling older adults selected for mild low-grade inflammation. We focused on serum cytokines known to be highly predictive of adverse health outcomes in older adults (sTNFR1, IL-6) during a short-term (weeks) and medium-term (months) follow-up, as well as immune markers that are less studied in aging but reflect other potentially relevant domains such as adaptive immune activation (sCD25), innate immune activation (sCD14 and sCD163), and the inflammation-metabolism interface (adiponectin/Acrp30) during short-term (weeks) follow up. We found that sTNFR1 was more reproducible than IL-6 over a period of weeks and months short-term and medium-term. The intra-class correlation coefficient (ICC) for sTNFR1 was 0.95 on repeated measures over 6 weeks, and 0.79 on repeated measures with mean interval of 14 weeks, while the ICC for IL-6 was 0.52 over corresponding short-term and 0.67 over corresponding medium-term follow-up. This suggests that sTNFR1 is a more reliable marker of CI than IL-6. This study provides new insights into the reproducibility of serum markers of CI in older adults. The findings suggest that sTNFR1 may be a better marker of CI than IL-6 in this population. Further studies are needed to confirm these findings and to investigate the clinical utility of sTNFR1 in older adults.
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Affiliation(s)
- Thomas Laskow
- Johns Hopkins University School of Medicine, 5505 Hopkins Bayview Circle, Baltimore, MD, 21224-6821, USA
| | - Jacqueline Langdon
- Johns Hopkins University School of Medicine, 5505 Hopkins Bayview Circle, Baltimore, MD, 21224-6821, USA
| | - Sam Sepehri
- Johns Hopkins University School of Medicine, 5505 Hopkins Bayview Circle, Baltimore, MD, 21224-6821, USA
| | - Marcela Davalos-Bichara
- Johns Hopkins University School of Medicine, 5505 Hopkins Bayview Circle, Baltimore, MD, 21224-6821, USA
| | - Ravi Varadhan
- Johns Hopkins University School of Medicine, 5505 Hopkins Bayview Circle, Baltimore, MD, 21224-6821, USA
| | - Jeremy Walston
- Johns Hopkins University School of Medicine, 5505 Hopkins Bayview Circle, Baltimore, MD, 21224-6821, USA.
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3
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Schrock JM. Accelerated aging in people living with HIV: The neuroimmune feedback model. Brain Behav Immun Health 2024; 36:100737. [PMID: 38356933 PMCID: PMC10864877 DOI: 10.1016/j.bbih.2024.100737] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Revised: 01/02/2024] [Accepted: 02/04/2024] [Indexed: 02/16/2024] Open
Abstract
People living with HIV (PLWH) experience earlier onset of aging-related comorbidities compared to their counterparts without HIV. This paper lays out a theoretical model to explain why PLWH experience accelerated aging. Briefly, the model is structured as follows. PLWH experience disproportionately heavy burdens of psychosocial stress across the life course. This psychosocial stress increases risks for depressive symptoms and problematic substance use. Depressive symptoms and problematic substance use interfere with long-term adherence to antiretroviral therapy (ART). Lower ART adherence, in turn, exacerbates the elevated systemic inflammation stemming from HIV infection. This inflammation increases risks for aging-related comorbidities. Systemic inflammation also reduces connectivity in the brain's central executive network (CEN), a large-scale brain network that is critical for coping with stressful circumstances. This reduced capacity for coping with stress leads to further increases in depressive symptoms and problematic substance use. Together, these changes form a neuroimmune feedback loop that amplifies the impact of psychosocial stress on aging-related comorbidities. In this paper, I review the existing evidence relevant to this model and highlight directions for future research.
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Affiliation(s)
- Joshua M. Schrock
- Institute for Sexual and Gender Minority Health and Wellbeing, Northwestern University, 625 N. Michigan Avenue, Suite 1400, Chicago, IL, 60611, United states
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4
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Jin J, Guang M, Li S, Liu Y, Zhang L, Zhang B, Cheng M, Schmalz G, Huang X. Immune-related signature of periodontitis and Alzheimer's disease linkage. Front Genet 2023; 14:1230245. [PMID: 37849501 PMCID: PMC10577303 DOI: 10.3389/fgene.2023.1230245] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Accepted: 09/22/2023] [Indexed: 10/19/2023] Open
Abstract
Background: Periodontits (PD) and Alzheimer's disease (AD) are both associated with ageing and clinical studies increasingly evidence their association. However, specific mechanisms underlying this association remain undeciphered, and immune-related processes are purported to play a signifcant role. The accrual of publicly available transcriptomic datasets permits secondary analysis and the application of data-mining and bioinformatic tools for biological discovery. Aim: The present study aimed to leverage publicly available transcriptomic datasets and databases, and apply a series of bioinformatic analysis to identify a robust signature of immune-related signature of PD and AD linkage. Methods: We downloaded gene-expresssion data pertaining PD and AD and identified crosstalk genes. We constructed a protein-protein network analysis, applied immune cell enrichment analysis, and predicted crosstalk immune-related genes and infiltrating immune cells. Next, we applied consisent cluster analysis and performed immune cell bias analysis, followed by LASSO regression to select biomarker immune-related genes. Results: The results showed a 3 gene set comprising of DUSP14, F13A1 and SELE as a robust immune-related signature. Macrophages M2 and NKT, B-cells, CD4+ memory T-cells and CD8+ naive T-cells emerged as key immune cells linking PD with AD. Conclusion: Candidate immune-related biomarker genes and immune cells central to the assocation of PD with AD were identified, and merit investigation in experimental and clinical research.
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Affiliation(s)
- Jieqi Jin
- Department of Stomatology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Mengkai Guang
- Department of Stomatology, China-Japan Friendship Hospital, Beijing, China
| | - Simin Li
- Stomatological Hospital, Southern Medical University, Guangzhou, China
| | - Yong Liu
- Department of Stomatology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Liwei Zhang
- Department of Stomatology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Bo Zhang
- Department of Stomatology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Menglin Cheng
- Department of Stomatology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Gerhard Schmalz
- Department of Cariology, Endodontology and Periodontology, Leipzig University, Leipzig, Germany
| | - Xiaofeng Huang
- Department of Stomatology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
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5
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Walker KA, Le Page LM, Terrando N, Duggan MR, Heneka MT, Bettcher BM. The role of peripheral inflammatory insults in Alzheimer's disease: a review and research roadmap. Mol Neurodegener 2023; 18:37. [PMID: 37277738 PMCID: PMC10240487 DOI: 10.1186/s13024-023-00627-2] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Accepted: 05/24/2023] [Indexed: 06/07/2023] Open
Abstract
Peripheral inflammation, defined as inflammation that occurs outside the central nervous system, is an age-related phenomenon that has been identified as a risk factor for Alzheimer's disease. While the role of chronic peripheral inflammation has been well characterized in the context of dementia and other age-related conditions, less is known about the neurologic contribution of acute inflammatory insults that take place outside the central nervous system. Herein, we define acute inflammatory insults as an immune challenge in the form of pathogen exposure (e.g., viral infection) or tissue damage (e.g., surgery) that causes a large, yet time-limited, inflammatory response. We provide an overview of the clinical and translational research that has examined the connection between acute inflammatory insults and Alzheimer's disease, focusing on three categories of peripheral inflammatory insults that have received considerable attention in recent years: acute infection, critical illness, and surgery. Additionally, we review immune and neurobiological mechanisms which facilitate the neural response to acute inflammation and discuss the potential role of the blood-brain barrier and other components of the neuro-immune axis in Alzheimer's disease. After highlighting the knowledge gaps in this area of research, we propose a roadmap to address methodological challenges, suboptimal study design, and paucity of transdisciplinary research efforts that have thus far limited our understanding of how pathogen- and damage-mediated inflammatory insults may contribute to Alzheimer's disease. Finally, we discuss how therapeutic approaches designed to promote the resolution of inflammation may be used following acute inflammatory insults to preserve brain health and limit progression of neurodegenerative pathology.
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Affiliation(s)
- Keenan A Walker
- Laboratory of Behavioral Neuroscience, National Institute On Aging. Baltimore, Baltimore, MD, USA.
| | - Lydia M Le Page
- Departments of Physical Therapy and Rehabilitation Science, and Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | - Niccolò Terrando
- Department of Anesthesiology, Cell Biology and Immunology, Duke University Medical Center, Durham, NC, USA
| | - Michael R Duggan
- Laboratory of Behavioral Neuroscience, National Institute On Aging. Baltimore, Baltimore, MD, USA
| | - Michael T Heneka
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Belvaux, Luxembourg
| | - Brianne M Bettcher
- Behavioral Neurology Section, Department of Neurology, University of Colorado Alzheimer's and Cognition Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
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6
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Dillon K, Goodman Z, Kaur S, Levin B, McIntosh R. Neutrophil-to-Lymphocyte Ratio Amplifies the Effects of Aging on Decrements in Grip Strength and Its Functional Neural Underpinnings. J Gerontol A Biol Sci Med Sci 2023; 78:882-889. [PMID: 36757160 PMCID: PMC10235193 DOI: 10.1093/gerona/glad048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Indexed: 02/10/2023] Open
Abstract
The neutrophil-to-lymphocyte ratio (NLR) is a trans-prognostic biomarker of physiologic stress and inflammation linked to muscle weakness in older adults. Generation of grip force coincides with sustained activity in the primary sensorimotor cortex (SM1). The current study investigates whether whole-brain functional connectivity, that is, degree centrality (CD) of SM1 relates to grip strength and whether both functional measures are predicted by advancing age as a function of the NLR. A structural regression model investigated the main and interactive effects of age and NLR on grip strength and CD of SM1 in 589 adults aged 21-85 years (M = 45.87, SD = 18.06). The model including the entire sample had a good fit (χ 2(4) = 1.63, p = .804). In individuals aged 50 years and older, age predicted lower grip strength and SM1 CD as a function of increasing NLR. In a model stratified by sex, the effect of age, NLR, and their interaction on grip strength are significant for older men but not older women. Analyses support CD of SM1 at rest as a neural biomarker of grip strength. Grip and its neural underpinnings decrease with advancing age and increasing NLR in mid to late life. Age-related decrements in grip strength and functional connectivity of brain regions involved in the generation of dynamic grip appear to be accelerated as a function of systemic physiological stress and inflammation, particularly in older men.
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Affiliation(s)
- Kaitlyn Dillon
- Department of Psychology, University of Miami, Coral Gables, Florida, USA
| | - Zachary T Goodman
- Department of Psychology, University of Miami, Coral Gables, Florida, USA
| | - Sonya S Kaur
- Department of Neurology, University of Miami Miller School of Medicine, Miami, Florida, USA
| | - Bonnie Levin
- Department of Neurology, University of Miami Miller School of Medicine, Miami, Florida, USA
| | - Roger McIntosh
- Department of Psychology, University of Miami, Coral Gables, Florida, USA
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7
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Byrnes SJ, Busman-Sahay K, Angelovich TA, Younger S, Taylor-Brill S, Nekorchuk M, Bondoc S, Dannay R, Terry M, Cochrane CR, Jenkins TA, Roche M, Deleage C, Bosinger SE, Paiardini M, Brew BJ, Estes JD, Churchill MJ. Chronic immune activation and gut barrier dysfunction is associated with neuroinflammation in ART-suppressed SIV+ rhesus macaques. PLoS Pathog 2023; 19:e1011290. [PMID: 36989320 PMCID: PMC10085024 DOI: 10.1371/journal.ppat.1011290] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Revised: 04/10/2023] [Accepted: 03/10/2023] [Indexed: 03/30/2023] Open
Abstract
HIV-associated neurocognitive disorders (HAND) affect ~40% of virally suppressed people with HIV (PWH), however, the precise viral dependent and independent changes to the brain are unclear. Here we characterized the CNS reservoir and immune environment of SIV-infected (SIV+) rhesus macaques during acute (n = 4), chronic (n = 12) or ART-suppressed SIV infection (n = 11). Multiplex immunofluorescence for markers of SIV infection (vRNA/vDNA) and immune activation was performed on frontal cortex and matched colon tissue. SIV+ animals contained detectable viral DNA+ cells that were not reduced in the frontal cortex or the gut by ART, supporting the presence of a stable viral reservoir in these compartments. SIV+ animals had impaired blood brain barrier (BBB) integrity and heightened levels of astrocytes or myeloid cells expressing antiviral, anti-inflammatory or oxidative stress markers which were not abrogated by ART. Neuroinflammation and BBB dysfunction correlated with measures of viremia and immune activation in the gut. Furthermore, SIV-uninfected animals with experimentally induced gut damage and colitis showed a similar immune activation profile in the frontal cortex to those of SIV-infected animals, supporting the role of chronic gut damage as an independent source of neuroinflammation. Together, these findings implicate gut-associated immune activation/damage as a significant contributor to neuroinflammation in ART-suppressed HIV/SIV infection which may drive HAND pathogenesis.
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Affiliation(s)
- Sarah J. Byrnes
- School of Health and Biomedical Sciences, RMIT University, Melbourne, Australia
| | - Kathleen Busman-Sahay
- Vaccine & Gene Therapy Institute, Oregon Health & Science University, Portland, Oregon, United States of America
- Division of Pathobiology and Immunology, Oregon National Primate Research Center, Oregon Health & Science University, Portland, Oregon, United States of America
| | - Thomas A. Angelovich
- School of Health and Biomedical Sciences, RMIT University, Melbourne, Australia
- Life Science, Burnet Institute, Melbourne, Australia
- Department of Infectious Diseases, The Peter Doherty Institute for Infection and Immunity, The University of Melbourne, Melbourne, Australia
| | - Skyler Younger
- Vaccine & Gene Therapy Institute, Oregon Health & Science University, Portland, Oregon, United States of America
| | - Sol Taylor-Brill
- Vaccine & Gene Therapy Institute, Oregon Health & Science University, Portland, Oregon, United States of America
| | - Michael Nekorchuk
- Vaccine & Gene Therapy Institute, Oregon Health & Science University, Portland, Oregon, United States of America
| | - Stephen Bondoc
- Vaccine & Gene Therapy Institute, Oregon Health & Science University, Portland, Oregon, United States of America
| | - Rachel Dannay
- Vaccine & Gene Therapy Institute, Oregon Health & Science University, Portland, Oregon, United States of America
| | - Margaret Terry
- Vaccine & Gene Therapy Institute, Oregon Health & Science University, Portland, Oregon, United States of America
| | | | - Trisha A. Jenkins
- School of Health and Biomedical Sciences, RMIT University, Melbourne, Australia
| | - Michael Roche
- School of Health and Biomedical Sciences, RMIT University, Melbourne, Australia
- Department of Infectious Diseases, The Peter Doherty Institute for Infection and Immunity, The University of Melbourne, Melbourne, Australia
| | - Claire Deleage
- AIDS and Cancer Virus Program, Leidos Biomedical Research Inc., Frederick National Laboratory for Cancer Research, Frederick, Maryland, United States of America
| | - Steven E. Bosinger
- Division of Microbiology and Immunology, Emory National Primate Research Center, Emory University, Atlanta, Georgia, United States of America
- Department of Pathology and Laboratory Medicine, Emory University School of Medicine, Atlanta, Georgia, United States of America
| | - Mirko Paiardini
- Division of Microbiology and Immunology, Emory National Primate Research Center, Emory University, Atlanta, Georgia, United States of America
- Department of Pathology and Laboratory Medicine, Emory University School of Medicine, Atlanta, Georgia, United States of America
| | - Bruce J. Brew
- Peter Duncan Neurosciences Unit, Departments of Neurology and Immunology St Vincent’s Hospital, University of New South Wales and University of Notre Dame, Sydney, New South Wales, Australia
| | - Jacob D. Estes
- School of Health and Biomedical Sciences, RMIT University, Melbourne, Australia
- Vaccine & Gene Therapy Institute, Oregon Health & Science University, Portland, Oregon, United States of America
- Division of Pathobiology and Immunology, Oregon National Primate Research Center, Oregon Health & Science University, Portland, Oregon, United States of America
| | - Melissa J. Churchill
- School of Health and Biomedical Sciences, RMIT University, Melbourne, Australia
- Life Science, Burnet Institute, Melbourne, Australia
- Departments of Microbiology and Medicine, Monash University, Clayton, Australia
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8
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Brosseron F, Maass A, Kleineidam L, Ravichandran KA, Kolbe CC, Wolfsgruber S, Santarelli F, Häsler LM, McManus R, Ising C, Röske S, Peters O, Cosma NC, Schneider LS, Wang X, Priller J, Spruth EJ, Altenstein S, Schneider A, Fliessbach K, Wiltfang J, Schott BH, Buerger K, Janowitz D, Dichgans M, Perneczky R, Rauchmann BS, Teipel S, Kilimann I, Görß D, Laske C, Munk MH, Düzel E, Yakupow R, Dobisch L, Metzger CD, Glanz W, Ewers M, Dechent P, Haynes JD, Scheffler K, Roy N, Rostamzadeh A, Spottke A, Ramirez A, Mengel D, Synofzik M, Jucker M, Latz E, Jessen F, Wagner M, Heneka MT. Serum IL-6, sAXL, and YKL-40 as systemic correlates of reduced brain structure and function in Alzheimer's disease: results from the DELCODE study. Alzheimers Res Ther 2023; 15:13. [PMID: 36631909 PMCID: PMC9835320 DOI: 10.1186/s13195-022-01118-0] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Accepted: 11/06/2022] [Indexed: 01/13/2023]
Abstract
BACKGROUND Neuroinflammation constitutes a pathological hallmark of Alzheimer's disease (AD). Still, it remains unresolved if peripheral inflammatory markers can be utilized for research purposes similar to blood-based beta-amyloid and neurodegeneration measures. We investigated experimental inflammation markers in serum and analyzed interrelations towards AD pathology features in a cohort with a focus on at-risk stages of AD. METHODS Data of 74 healthy controls (HC), 99 subjective cognitive decline (SCD), 75 mild cognitive impairment (MCI), 23 AD relatives, and 38 AD subjects were obtained from the DELCODE cohort. A panel of 20 serum biomarkers was determined using immunoassays. Analyses were adjusted for age, sex, APOE status, and body mass index and included correlations between serum and CSF marker levels and AD biomarker levels. Group-wise comparisons were based on screening diagnosis and routine AD biomarker-based schematics. Structural imaging data were combined into composite scores representing Braak stage regions and related to serum biomarker levels. The Preclinical Alzheimer's Cognitive Composite (PACC5) score was used to test for associations between the biomarkers and cognitive performance. RESULTS Each experimental marker displayed an individual profile of interrelations to AD biomarkers, imaging, or cognition features. Serum-soluble AXL (sAXL), IL-6, and YKL-40 showed the most striking associations. Soluble AXL was significantly elevated in AD subjects with pathological CSF beta-amyloid/tau profile and negatively related to structural imaging and cognitive function. Serum IL-6 was negatively correlated to structural measures of Braak regions, without associations to corresponding IL-6 CSF levels or other AD features. Serum YKL-40 correlated most consistently to CSF AD biomarker profiles and showed the strongest negative relations to structure, but none to cognitive outcomes. CONCLUSIONS Serum sAXL, IL-6, and YKL-40 relate to different AD features, including the degree of neuropathology and cognitive functioning. This may suggest that peripheral blood signatures correspond to specific stages of the disease. As serum markers did not reflect the corresponding CSF protein levels, our data highlight the need to interpret serum inflammatory markers depending on the respective protein's specific biology and cellular origin. These marker-specific differences will have to be considered to further define and interpret blood-based inflammatory profiles for AD research.
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Affiliation(s)
- Frederic Brosseron
- grid.424247.30000 0004 0438 0426German Center for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1, 53127 Bonn, Germany ,grid.15090.3d0000 0000 8786 803XDepartment of Neurodegenerative Disease and Geriatric Psychiatry, University of Bonn Medical Center, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Anne Maass
- grid.424247.30000 0004 0438 0426German Center for Neurodegenerative Diseases (DZNE), Leipziger Straße 44, 39120 Magdeburg, Germany
| | - Luca Kleineidam
- grid.424247.30000 0004 0438 0426German Center for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1, 53127 Bonn, Germany ,grid.15090.3d0000 0000 8786 803XDepartment of Neurodegenerative Disease and Geriatric Psychiatry, University of Bonn Medical Center, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Kishore Aravind Ravichandran
- grid.424247.30000 0004 0438 0426German Center for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1, 53127 Bonn, Germany ,grid.15090.3d0000 0000 8786 803XDepartment of Neurodegenerative Disease and Geriatric Psychiatry, University of Bonn Medical Center, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Carl-Christian Kolbe
- grid.15090.3d0000 0000 8786 803XInstitute of Innate Immunity, University of Bonn Medical Center, Venusberg-Campus 1, 53127 Bonn, Germany ,grid.420044.60000 0004 0374 4101Bayer AG, Alfred-Nobel-Straße 50, 40789 Monheim am Rhein, Germany
| | - Steffen Wolfsgruber
- grid.424247.30000 0004 0438 0426German Center for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1, 53127 Bonn, Germany ,grid.15090.3d0000 0000 8786 803XDepartment of Neurodegenerative Disease and Geriatric Psychiatry, University of Bonn Medical Center, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Francesco Santarelli
- grid.424247.30000 0004 0438 0426German Center for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1, 53127 Bonn, Germany ,grid.15090.3d0000 0000 8786 803XDepartment of Neurodegenerative Disease and Geriatric Psychiatry, University of Bonn Medical Center, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Lisa M. Häsler
- grid.10392.390000 0001 2190 1447Hertie Institute for Clinical Brain Research, Department Cellular Neurology, University of Tübingen, Otfried-Müller-Strasse 27, 72076 Tübingen, Germany ,grid.424247.30000 0004 0438 0426German Center for Neurodegenerative Diseases (DZNE), Otfried-Müller-Straße 27, 72076 Tübingen, Germany
| | - Róisín McManus
- grid.424247.30000 0004 0438 0426German Center for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1, 53127 Bonn, Germany ,grid.15090.3d0000 0000 8786 803XDepartment of Neurodegenerative Disease and Geriatric Psychiatry, University of Bonn Medical Center, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Christina Ising
- grid.424247.30000 0004 0438 0426German Center for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1, 53127 Bonn, Germany ,grid.15090.3d0000 0000 8786 803XDepartment of Neurodegenerative Disease and Geriatric Psychiatry, University of Bonn Medical Center, Venusberg-Campus 1, 53127 Bonn, Germany ,grid.452408.fExcellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne, Joseph-Stelzmann-Strasse 26, 50931 Köln, Germany
| | - Sandra Röske
- grid.15090.3d0000 0000 8786 803XDepartment of Neurodegenerative Disease and Geriatric Psychiatry, University of Bonn Medical Center, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Oliver Peters
- grid.424247.30000 0004 0438 0426German Center for Neurodegenerative Diseases (DZNE), Charitéplatz 1, 10117 Berlin, Germany ,grid.6363.00000 0001 2218 4662Department of Psychiatry and Psychotherapy, Charité, Charitéplatz 1, 10117 Berlin, Germany
| | - Nicoleta-Carmen Cosma
- grid.6363.00000 0001 2218 4662Department of Psychiatry and Psychotherapy, Charité – Universitätsmedizin Berlin, Campus Benjamin Franklin, Hindenburgdamm 30, 12203 Berlin, Germany
| | - Luisa-Sophie Schneider
- grid.424247.30000 0004 0438 0426German Center for Neurodegenerative Diseases (DZNE), Charitéplatz 1, 10117 Berlin, Germany ,grid.6363.00000 0001 2218 4662Department of Psychiatry and Psychotherapy, Charité, Charitéplatz 1, 10117 Berlin, Germany
| | - Xiao Wang
- grid.6363.00000 0001 2218 4662Department of Psychiatry and Psychotherapy, Charité, Charitéplatz 1, 10117 Berlin, Germany
| | - Josef Priller
- grid.424247.30000 0004 0438 0426German Center for Neurodegenerative Diseases (DZNE), Charitéplatz 1, 10117 Berlin, Germany ,grid.6363.00000 0001 2218 4662Department of Psychiatry and Psychotherapy, Charité, Charitéplatz 1, 10117 Berlin, Germany ,grid.6936.a0000000123222966Department of Psychiatry and Psychotherapy, Technical University Munich, 81675 Munich, Germany
| | - Eike J. Spruth
- grid.424247.30000 0004 0438 0426German Center for Neurodegenerative Diseases (DZNE), Charitéplatz 1, 10117 Berlin, Germany ,grid.6363.00000 0001 2218 4662Department of Psychiatry and Psychotherapy, Charité, Charitéplatz 1, 10117 Berlin, Germany
| | - Slawek Altenstein
- grid.424247.30000 0004 0438 0426German Center for Neurodegenerative Diseases (DZNE), Charitéplatz 1, 10117 Berlin, Germany ,grid.6363.00000 0001 2218 4662Department of Psychiatry and Psychotherapy, Charité, Charitéplatz 1, 10117 Berlin, Germany
| | - Anja Schneider
- grid.424247.30000 0004 0438 0426German Center for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1, 53127 Bonn, Germany ,grid.15090.3d0000 0000 8786 803XDepartment of Neurodegenerative Disease and Geriatric Psychiatry, University of Bonn Medical Center, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Klaus Fliessbach
- grid.424247.30000 0004 0438 0426German Center for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1, 53127 Bonn, Germany ,grid.15090.3d0000 0000 8786 803XDepartment of Neurodegenerative Disease and Geriatric Psychiatry, University of Bonn Medical Center, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Jens Wiltfang
- grid.424247.30000 0004 0438 0426German Center for Neurodegenerative Diseases (DZNE), Von-Siebold-Str. 3a, 37075 Göttingen, Germany ,grid.7450.60000 0001 2364 4210Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, University of Göttingen, Von-Siebold-Str. 5, 37075 Göttingen, Germany ,grid.7311.40000000123236065Neurosciences and Signaling Group, Institute of Biomedicine (iBiMED), Department of Medical Sciences, University of Aveiro, Aveiro, Portugal
| | - Björn H. Schott
- grid.424247.30000 0004 0438 0426German Center for Neurodegenerative Diseases (DZNE), Von-Siebold-Str. 3a, 37075 Göttingen, Germany ,grid.7450.60000 0001 2364 4210Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, University of Göttingen, Von-Siebold-Str. 5, 37075 Göttingen, Germany ,grid.418723.b0000 0001 2109 6265Leibniz Institute for Neurobiology, Brenneckestr. 6, 39118 Magdeburg, Germany
| | - Katharina Buerger
- grid.424247.30000 0004 0438 0426German Center for Neurodegenerative Diseases (DZNE), Feodor-Lynen-Strasse 17, 81377 Munich, Germany ,grid.411095.80000 0004 0477 2585Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Feodor-Lynen-Strasse 17, 81377 Munich, Germany
| | - Daniel Janowitz
- grid.411095.80000 0004 0477 2585Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Feodor-Lynen-Strasse 17, 81377 Munich, Germany
| | - Martin Dichgans
- grid.424247.30000 0004 0438 0426German Center for Neurodegenerative Diseases (DZNE), Feodor-Lynen-Strasse 17, 81377 Munich, Germany ,grid.411095.80000 0004 0477 2585Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Feodor-Lynen-Strasse 17, 81377 Munich, Germany
| | - Robert Perneczky
- grid.424247.30000 0004 0438 0426German Center for Neurodegenerative Diseases (DZNE), Feodor-Lynen-Strasse 17, 81377 Munich, Germany ,grid.411095.80000 0004 0477 2585Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany ,grid.452617.3Munich Cluster for Systems Neurology (SyNergy) Munich, Munich, Germany ,grid.7445.20000 0001 2113 8111Ageing Epidemiology Research Unit (AGE), School of Public Health, Imperial College London, London, UK ,grid.11835.3e0000 0004 1936 9262Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield, UK
| | - Boris-Stephan Rauchmann
- grid.411095.80000 0004 0477 2585Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Stefan Teipel
- grid.424247.30000 0004 0438 0426German Center for Neurodegenerative Diseases (DZNE), Gehlsheimer Str. 20, 18147 Rostock, Germany ,grid.413108.f0000 0000 9737 0454Department of Psychosomatic Medicine, Rostock University Medical Center, Gehlsheimer Str. 20, 18147 Rostock, Germany
| | - Ingo Kilimann
- grid.424247.30000 0004 0438 0426German Center for Neurodegenerative Diseases (DZNE), Gehlsheimer Str. 20, 18147 Rostock, Germany ,grid.413108.f0000 0000 9737 0454Department of Psychosomatic Medicine, Rostock University Medical Center, Gehlsheimer Str. 20, 18147 Rostock, Germany
| | - Doreen Görß
- grid.413108.f0000 0000 9737 0454Department of Psychosomatic Medicine, Rostock University Medical Center, Gehlsheimer Str. 20, 18147 Rostock, Germany
| | - Christoph Laske
- grid.424247.30000 0004 0438 0426German Center for Neurodegenerative Diseases (DZNE), Otfried-Müller-Straße 27, 72076 Tübingen, Germany ,grid.10392.390000 0001 2190 1447Section for Dementia Research, Hertie Institute for Clinical Brain Research and Department of Psychiatry and Psychotherapy, University of Tübingen, Tübingen, Germany
| | - Matthias H. Munk
- grid.424247.30000 0004 0438 0426German Center for Neurodegenerative Diseases (DZNE), Otfried-Müller-Straße 27, 72076 Tübingen, Germany ,grid.10392.390000 0001 2190 1447Section for Dementia Research, Hertie Institute for Clinical Brain Research and Department of Psychiatry and Psychotherapy, University of Tübingen, Tübingen, Germany
| | - Emrah Düzel
- grid.424247.30000 0004 0438 0426German Center for Neurodegenerative Diseases (DZNE), Leipziger Straße 44, 39120 Magdeburg, Germany ,grid.5807.a0000 0001 1018 4307Institute of Cognitive Neurology and Dementia Research (IKND), Otto-von-Guericke University, Magdeburg, Germany
| | - Renat Yakupow
- grid.424247.30000 0004 0438 0426German Center for Neurodegenerative Diseases (DZNE), Leipziger Straße 44, 39120 Magdeburg, Germany
| | - Laura Dobisch
- grid.424247.30000 0004 0438 0426German Center for Neurodegenerative Diseases (DZNE), Leipziger Straße 44, 39120 Magdeburg, Germany
| | - Coraline D. Metzger
- grid.424247.30000 0004 0438 0426German Center for Neurodegenerative Diseases (DZNE), Leipziger Straße 44, 39120 Magdeburg, Germany ,grid.5807.a0000 0001 1018 4307Institute of Cognitive Neurology and Dementia Research (IKND), Otto-von-Guericke University, Magdeburg, Germany ,grid.5807.a0000 0001 1018 4307Department of Psychiatry and Psychotherapy, Otto-von-Guericke University, Magdeburg, Germany
| | - Wenzel Glanz
- grid.424247.30000 0004 0438 0426German Center for Neurodegenerative Diseases (DZNE), Leipziger Straße 44, 39120 Magdeburg, Germany
| | - Michael Ewers
- grid.424247.30000 0004 0438 0426German Center for Neurodegenerative Diseases (DZNE), Feodor-Lynen-Strasse 17, 81377 Munich, Germany
| | - Peter Dechent
- grid.7450.60000 0001 2364 4210MR-Research in Neurosciences, Department of Cognitive Neurology, Georg-August-University, Goettingen, Germany
| | - John Dylan Haynes
- grid.6363.00000 0001 2218 4662Bernstein Center for Computational Neurosciences, Charité – Universitätsmedizin, Berlin, Germany
| | - Klaus Scheffler
- grid.10392.390000 0001 2190 1447Department for Biomedical Magnetic Resonance, University of Tübingen, 72076 Tübingen, Germany
| | - Nina Roy
- grid.424247.30000 0004 0438 0426German Center for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1, 53127 Bonn, Germany
| | - Ayda Rostamzadeh
- grid.6190.e0000 0000 8580 3777Department of Psychiatry, University of Cologne, Medical Faculty, Kerpener Strasse 62, 50924 Cologne, Germany
| | - Annika Spottke
- grid.424247.30000 0004 0438 0426German Center for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1, 53127 Bonn, Germany ,grid.10388.320000 0001 2240 3300Department of Neurology, University of Bonn, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Alfredo Ramirez
- grid.424247.30000 0004 0438 0426German Center for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1, 53127 Bonn, Germany ,grid.15090.3d0000 0000 8786 803XDepartment of Neurodegenerative Disease and Geriatric Psychiatry, University of Bonn Medical Center, Venusberg-Campus 1, 53127 Bonn, Germany ,grid.452408.fExcellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne, Joseph-Stelzmann-Strasse 26, 50931 Köln, Germany ,grid.6190.e0000 0000 8580 3777Division of Neurogenetics and Molecular Psychiatry, Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany ,Department of Psychiatry & Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, San Antonio, TX USA
| | - David Mengel
- grid.424247.30000 0004 0438 0426German Center for Neurodegenerative Diseases (DZNE), Otfried-Müller-Straße 27, 72076 Tübingen, Germany ,grid.10392.390000 0001 2190 1447Division Translational Genomics of Neurodegenerative Diseases, Center for Neurology and Hertie Institute for Clinical Brain Research, University of Tübingen, Otfried-Müller-Strasse 27, 72076 Tübingen, Germany
| | - Matthis Synofzik
- grid.424247.30000 0004 0438 0426German Center for Neurodegenerative Diseases (DZNE), Otfried-Müller-Straße 27, 72076 Tübingen, Germany ,grid.10392.390000 0001 2190 1447Division Translational Genomics of Neurodegenerative Diseases, Center for Neurology and Hertie Institute for Clinical Brain Research, University of Tübingen, Otfried-Müller-Strasse 27, 72076 Tübingen, Germany
| | - Mathias Jucker
- grid.10392.390000 0001 2190 1447Hertie Institute for Clinical Brain Research, Department Cellular Neurology, University of Tübingen, Otfried-Müller-Strasse 27, 72076 Tübingen, Germany ,grid.424247.30000 0004 0438 0426German Center for Neurodegenerative Diseases (DZNE), Otfried-Müller-Straße 27, 72076 Tübingen, Germany
| | - Eicke Latz
- grid.424247.30000 0004 0438 0426German Center for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1, 53127 Bonn, Germany ,grid.15090.3d0000 0000 8786 803XInstitute of Innate Immunity, University of Bonn Medical Center, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Frank Jessen
- grid.424247.30000 0004 0438 0426German Center for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1, 53127 Bonn, Germany ,grid.452408.fExcellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne, Joseph-Stelzmann-Strasse 26, 50931 Köln, Germany ,grid.6190.e0000 0000 8580 3777Department of Psychiatry, University of Cologne, Medical Faculty, Kerpener Strasse 62, 50924 Cologne, Germany
| | - Michael Wagner
- grid.424247.30000 0004 0438 0426German Center for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1, 53127 Bonn, Germany ,grid.15090.3d0000 0000 8786 803XDepartment of Neurodegenerative Disease and Geriatric Psychiatry, University of Bonn Medical Center, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Michael T. Heneka
- grid.424247.30000 0004 0438 0426German Center for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1, 53127 Bonn, Germany ,grid.15090.3d0000 0000 8786 803XDepartment of Neurodegenerative Disease and Geriatric Psychiatry, University of Bonn Medical Center, Venusberg-Campus 1, 53127 Bonn, Germany ,grid.16008.3f0000 0001 2295 9843Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, 7 avenue des Hauts Fourneaux, 4362 Esch-sur- Alzette, Luxembourg
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9
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Rogojin A, Gorbet DJ, Hawkins KM, Sergio LE. Differences in resting state functional connectivity underlie visuomotor performance declines in older adults with a genetic risk (APOE ε4) for Alzheimer’s disease. Front Aging Neurosci 2022; 14:1054523. [DOI: 10.3389/fnagi.2022.1054523] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Accepted: 11/15/2022] [Indexed: 12/04/2022] Open
Abstract
IntroductionNon-standard visuomotor integration requires the interaction of large networks in the brain. Previous findings have shown that non-standard visuomotor performance is impaired in individuals with specific dementia risk factors (family history of dementia and presence of the APOE ε4 allele) in advance of any cognitive impairments. These findings suggest that visuomotor impairments are associated with early dementia-related brain changes. The current study examined the underlying resting state functional connectivity (RSFC) associated with impaired non-standard visuomotor performance, as well as the impacts of dementia family history, sex, and APOE status.MethodsCognitively healthy older adults (n = 48) were tested on four visuomotor tasks where reach and gaze were increasingly spatially dissociated. Participants who had a family history of dementia or the APOE ε4 allele were considered to be at an increased risk for AD. To quantify RSFC within networks of interest, an EPI sequence sensitive to BOLD contrast was collected. The networks of interest were the default mode network (DMN), somatomotor network (SMN), dorsal attention network (DAN), ventral attention network (VAN), and frontoparietal control network (FPN).ResultsIndividuals with the ε4 allele showed abnormalities in RSFC between posterior DMN nodes that predicted poorer non-standard visuomotor performance. Specifically, multiple linear regression analyses revealed lower RSFC between the precuneus/posterior cingulate cortex and the left inferior parietal lobule as well as the left parahippocampal cortex. Presence of the APOE ε4 allele also modified the relationship between mean DAN RSFC and visuomotor control, where lower mean RSFC in the DAN predicted worse non-standard visuomotor performance only in APOE ε4 carriers. There were otherwise no effects of family history, APOE ε4 status, or sex on the relationship between RSFC and visuomotor performance for any of the other resting networks.ConclusionThe preliminary findings provide insight into the impact of APOE ε4-related genetic risk on neural networks underlying complex visuomotor transformations, and demonstrate that the non-standard visuomotor task paradigm discussed in this study may be used as a non-invasive, easily accessible assessment tool for dementia risk.
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10
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Mu T, Wei J, Sun J, Jin J, Zhang T, Wu H, Su B. Association of apolipoprotein E epsilon 4 and cognitive impairment in adults living with human immunodeficiency virus: a meta-analysis. Chin Med J (Engl) 2022; 135:2677-2686. [PMID: 36719356 PMCID: PMC9945176 DOI: 10.1097/cm9.0000000000002480] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Indexed: 02/01/2023] Open
Abstract
BACKGROUND It is controversial whether the apolipoprotein E epsilon 4 allele (APOE ε4) is a risk gene for human immunodeficiency virus (HIV)-related neurocognitive impairment. This meta-analysis aimed to summarize evidence of the associations between APOE ε4 and cognitive impairment in people living with HIV (PLWH). METHODS Our study conducted a systematic literature search of PubMed, Web of Science, Embase, Google Scholar, and ProQuest for studies published before April 11, 2022 that evaluated associations between APOE ε4 and cognitive impairment in adult PLWH (aged ≥18 years). We calculated pooled odds ratios (ORs) of global cognitive impairment and 95% confidence intervals (CIs) and standardized mean differences (SMDs) for specific cognitive domains between APOE ε4 carriers and non-carriers. Subgroup meta-analyses were used to evaluate the result profiles across different categorical variables. RESULTS Twenty studies met the inclusion criteria, including 19 that evaluated global cognitive impairment. APOE ε4 was significantly associated with global cognitive impairment in PLWH (OR = 1.36, 95% CI = [1.05, 1.78], number of estimates [k] = 19, P = 0.02, random effects). Subgroup meta-analysis based percentage of females showed evident intergroup differences in global cognitive performance between ε4 carriers and non-carriers (P = 0.015). APOE ε4 carriers had lower cognitive test scores than non-carriers in all seven cognitive domains, including fluency (SMD = -0.51, 95% CI = [-0.76, -0.25], P < 0.001, k = 4, I2 = 0%), learning (SMD = -0.52, 95% CI = [-0.75, -0.28], P < 0.001, k = 5, I2 = 0%), executive function (SMD = -0.41, 95% CI = [-0.59, -0.23], P < 0.001, k = 8, I2 = 0%), memory (SMD = -0.41, 95% CI = [-0.61, -0.20], P < 0.001, k = 10, I2 = 36%), attention/working memory (SMD = -0.34, 95% CI = [-0.54, -0.14], P = 0.001, k = 6, I2 = 0%), speed of information processing (SMD = -0.34, 95% CI = [-0.53, -0.16], P < 0.001, k = 8, I2 = 0%), and motor function (SMD = -0.19, 95% CI = [-0.38, -0.01], P = 0.04, k = 7, I2 = 0%). CONCLUSIONS Our meta-analysis provides significant evidence that APOE ε4 is a risk genotype for HIV-associated cognitive impairment, especially in cognitive domains of fluency, learning, executive function, and memory. Moreover, the impairment is sex specific. META ANALYSIS REGISTRATION PROSPERO, CRD 42021257775.
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Affiliation(s)
- Tingting Mu
- Beijing Key Laboratory for HIV/AIDS Research, Clinical and Research Center for Infectious Diseases, Beijing Youan Hospital, Capital Medical University, Beijing 100069, China
| | - Jiaqi Wei
- Beijing Key Laboratory for HIV/AIDS Research, Clinical and Research Center for Infectious Diseases, Beijing Youan Hospital, Capital Medical University, Beijing 100069, China
| | - Jun Sun
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Junyan Jin
- Beijing Key Laboratory for HIV/AIDS Research, Clinical and Research Center for Infectious Diseases, Beijing Youan Hospital, Capital Medical University, Beijing 100069, China
| | - Tong Zhang
- Beijing Key Laboratory for HIV/AIDS Research, Clinical and Research Center for Infectious Diseases, Beijing Youan Hospital, Capital Medical University, Beijing 100069, China
| | - Hao Wu
- Beijing Key Laboratory for HIV/AIDS Research, Clinical and Research Center for Infectious Diseases, Beijing Youan Hospital, Capital Medical University, Beijing 100069, China
| | - Bin Su
- Beijing Key Laboratory for HIV/AIDS Research, Clinical and Research Center for Infectious Diseases, Beijing Youan Hospital, Capital Medical University, Beijing 100069, China
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11
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Lin L, Zhang J, Liu Y, Hao X, Shen J, Yu Y, Xu H, Cong F, Li H, Wu J. Aberrant brain functional networks in type 2 diabetes mellitus: A graph theoretical and support-vector machine approach. Front Hum Neurosci 2022; 16:974094. [PMID: 36310847 PMCID: PMC9597867 DOI: 10.3389/fnhum.2022.974094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Accepted: 08/23/2022] [Indexed: 11/23/2022] Open
Abstract
Objective Type 2 diabetes mellitus (T2DM) is a high risk of cognitive decline and dementia, but the underlying mechanisms are not yet clearly understood. This study aimed to explore the functional connectivity (FC) and topological properties among whole brain networks and correlations with impaired cognition and distinguish T2DM from healthy controls (HC) to identify potential biomarkers for cognition abnormalities. Methods A total of 80 T2DM and 55 well-matched HC were recruited in this study. Subjects’ clinical data, neuropsychological tests and resting-state functional magnetic resonance imaging data were acquired. Whole-brain network FC were mapped, the topological characteristics were analyzed using a graph-theoretic approach, the FC and topological characteristics of the network were compared between T2DM and HC using a general linear model, and correlations between networks and clinical and cognitive characteristics were identified. The support vector machine (SVM) model was used to identify differences between T2DM and HC. Results In patients with T2DM, FC was higher in two core regions [precuneus/posterior cingulated cortex (PCC)_1 and later prefrontal cortex_1] in the default mode network and lower in bilateral superior parietal lobes (within dorsal attention network), and decreased between the right medial frontal cortex and left auditory cortex. The FC of the right frontal medial-left auditory cortex was positively correlated with the Montreal Cognitive Assessment scales and negatively correlated with the blood glucose levels. Long-range connectivity between bilateral auditory cortex was missing in the T2DM. The nodal degree centrality and efficiency of PCC were higher in T2DM than in HC (P < 0.005). The nodal degree centrality in the PCC in the SVM model was 97.56% accurate in distinguishing T2DM patients from HC, demonstrating the reliability of the prediction model. Conclusion Functional abnormalities in the auditory cortex in T2DM may be related to cognitive impairment, such as memory and attention, and nodal degree centrality in the PCC might serve as a potential neuroimaging biomarker to predict and identify T2DM.
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Affiliation(s)
- Lin Lin
- Graduate School, Tianjin Medical University, Tianjin, China
- Department of Radiology, Affiliated Zhongshan Hospital of Dalian University, Dalian, China
| | - Jindi Zhang
- School of Biomedical Engineering, Dalian University of Technology, Dalian, China
| | - Yutong Liu
- School of Biomedical Engineering, Dalian University of Technology, Dalian, China
| | - Xinyu Hao
- School of Biomedical Engineering, Dalian University of Technology, Dalian, China
- Faculty of Information Technology, University of Jyvaskyla, Jyvaskyla, Finland
| | - Jing Shen
- Department of Radiology, Affiliated Zhongshan Hospital of Dalian University, Dalian, China
| | - Yang Yu
- Department of Endocrinology, Affiliated Zhongshan Hospital of Dalian University, Dalian, China
| | - Huashuai Xu
- Faculty of Information Technology, University of Jyvaskyla, Jyvaskyla, Finland
| | - Fengyu Cong
- School of Biomedical Engineering, Dalian University of Technology, Dalian, China
| | - Huanjie Li
- Department of Radiology, Affiliated Zhongshan Hospital of Dalian University, Dalian, China
- School of Biomedical Engineering, Dalian University of Technology, Dalian, China
- Huanjie Li,
| | - Jianlin Wu
- Department of Radiology, Affiliated Zhongshan Hospital of Dalian University, Dalian, China
- *Correspondence: Jianlin Wu,
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12
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The pro-inflammatory factors contribute to the EEG microstate abnormalities in patients with major depressive disorder. Brain Behav Immun Health 2022; 26:100523. [PMID: 36267834 PMCID: PMC9576533 DOI: 10.1016/j.bbih.2022.100523] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2022] [Revised: 09/19/2022] [Accepted: 09/25/2022] [Indexed: 11/22/2022] Open
Abstract
Pro-inflammatory factors may be associated with abnormalities in functional brain networks, which may be a mechanism in the pathogenesis of major depressive disorder (MDD). Electroencephalogram (EEG) microstates reflect the functioning of brain networks. However, the relationship between pro-inflammatory factors and the microstate abnormalities in patients with MDD is poorly understood. 24 MDD patients and 24 age-and sex-matched healthy controls (HC) were recruited. Montgomery-Asberg Depression Rating Scale(MADRS) were assessed. Serum (interleukin- 2(IL- 2), tumor necrosis factor-α (TNF-α) and hs-C-reactive protein (CRP)and EEG data were collected. K-means clustering was performed to characterize different microstates. For each microstate, duration, occurrence and coverage were estimated. Four microstates (e.g. A, B, C, D) were characterized, MDD group showed lower duration, occurrence and coverage of microstate B and microstate D, while higher duration of microstate A and microstate C and levels of IL-2, TNF-α, hs-CRP than HC group. The duration, occurrence and coverage of microstate D were negatively correlated with levels of pro-inflammatory factors (IL-2, TNF- α and hs- CRP) (all P < 0.05). Serum pro-inflammatory induced the abnormalities of microstate D. Together, these findings add to the understanding of the pathophysiology of MDD and point to pro-inflammatory factors contribute to EEG microstate abnormalities in patients with MDD.
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13
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Prakash RS, Fountain-Zaragoza S, Fisher M, Gbadeyan O, Andridge R, Kiecolt-Glaser J, Manglani HR, Duraney EJ, Shankar A, McKenna MR, Teng J, Phansikar M, Canter R. Protocol for a randomized controlled trial of mindfulness-based stress reduction to improve attentional control in older adults (HealthyAgers trial). BMC Geriatr 2022; 22:666. [PMID: 35964000 PMCID: PMC9375078 DOI: 10.1186/s12877-022-03334-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Accepted: 07/23/2022] [Indexed: 01/07/2023] Open
Abstract
BACKGROUND Mindfulness meditation is a form of mind-body intervention that has increasing scientific support for its ability to reduce age-related declines in cognitive functioning, improve affective health, and strengthen the neural circuitry supporting improved cognitive and affective health. However, the majority of existent studies have been pilot investigations with small sample sizes, limited follow-up data, and a lack of attention to expectancy effects. Here, we present the study design of a Phase I/II, efficacy trial-HealthyAgers trial-that examines the benefits of a manualized mindfulness-based stress reduction program in improving attentional control and reducing mind-wandering in older adults. METHODS One hundred fifty older adults (ages 65-85 years) will be randomized into one of two groups: an eight-week mindfulness program or an eight-week, placebo-controlled, lifestyle education program. Behavioral and neuroimaging assessments are conducted before and after the training. Participants are then invited to booster sessions once every three months for a period of 12 months with post-intervention follow-up assessments conducted at 6-months and 12-months. The primary outcomes for the study are behavioral measures of attentional control and mind-wandering. Additional, secondary outcomes include network strength in an a priori defined neuromarker of attentional control, fluid and everyday cognition, emotion regulation strategy use, and markers of inflammation. DISCUSSION This study will establish the efficacy of a group-based, low-cost mind-body intervention for the inter-related facets of attentional control and mind-wandering in older adults. Strengths of this study include a well-designed, placebo-controlled comparison group, use of web/mobile application to track study adherence, and longitudinal follow-up. TRIAL REGISTRATION Clinicaltrials.gov (# NCT03626532 ). Registered August 4, 2018.
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Affiliation(s)
- Ruchika Shaurya Prakash
- Department of Psychology, The Ohio State University, 62 Psychology Building, 1835 Neil Avenue, Columbus, OH, 43210, USA.
- Center for Cognitive and Behavioral Brain Imaging, The Ohio State University, Columbus, OH, USA.
| | - Stephanie Fountain-Zaragoza
- Department of Psychology, The Ohio State University, 62 Psychology Building, 1835 Neil Avenue, Columbus, OH, 43210, USA
- Department of Health Sciences and Research, Medical University of South Carolina, Charleston, SC, USA
| | - Megan Fisher
- Department of Psychology, The Ohio State University, 62 Psychology Building, 1835 Neil Avenue, Columbus, OH, 43210, USA
- Center for Cognitive and Behavioral Brain Imaging, The Ohio State University, Columbus, OH, USA
| | - Oyetunde Gbadeyan
- Department of Psychology, The Ohio State University, 62 Psychology Building, 1835 Neil Avenue, Columbus, OH, 43210, USA
- National Centre for Healthy Ageing, Peninsula Clinical School, Faculty of Medicine, Monash University, Melbourne, Australia
| | - Rebecca Andridge
- Department of Biostatistics, The Ohio State University, Columbus, OH, USA
| | | | - Heena R Manglani
- Department of Psychology, The Ohio State University, 62 Psychology Building, 1835 Neil Avenue, Columbus, OH, 43210, USA
- Center for Cognitive and Behavioral Brain Imaging, The Ohio State University, Columbus, OH, USA
| | - Elizabeth J Duraney
- Department of Psychology, The Ohio State University, 62 Psychology Building, 1835 Neil Avenue, Columbus, OH, 43210, USA
- Center for Cognitive and Behavioral Brain Imaging, The Ohio State University, Columbus, OH, USA
| | - Anita Shankar
- Department of Psychology, The Ohio State University, 62 Psychology Building, 1835 Neil Avenue, Columbus, OH, 43210, USA
- Center for Cognitive and Behavioral Brain Imaging, The Ohio State University, Columbus, OH, USA
| | - Michael R McKenna
- Department of Psychology, The Ohio State University, 62 Psychology Building, 1835 Neil Avenue, Columbus, OH, 43210, USA
- Center for Cognitive and Behavioral Brain Imaging, The Ohio State University, Columbus, OH, USA
| | - James Teng
- Department of Psychology, The Ohio State University, 62 Psychology Building, 1835 Neil Avenue, Columbus, OH, 43210, USA
- Center for Cognitive and Behavioral Brain Imaging, The Ohio State University, Columbus, OH, USA
| | - Madhura Phansikar
- Department of Psychology, The Ohio State University, 62 Psychology Building, 1835 Neil Avenue, Columbus, OH, 43210, USA
| | - Rosie Canter
- Department of Psychology, The Ohio State University, 62 Psychology Building, 1835 Neil Avenue, Columbus, OH, 43210, USA
- Center for Cognitive and Behavioral Brain Imaging, The Ohio State University, Columbus, OH, USA
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14
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Role of Neuroimmune Interactions in COVID-19-related Cardiovascular Damage. Curr Med Sci 2022; 42:555-560. [PMID: 35678914 PMCID: PMC9178934 DOI: 10.1007/s11596-022-2529-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2020] [Accepted: 09/07/2021] [Indexed: 12/15/2022]
Abstract
Coronavirus disease 2019 (COVID-19) has caused a global pandemic impacting over 200 countries/regions and more than 200 million patients worldwide. Among the infected patients, there is a high prevalence of COVID-19-related cardiovascular injuries. However, the specific mechanisms linking cardiovascular damage and COVID-19 remain unclear. The COVID-19 pandemic also has exacerbated the mental health burden of humans. Considering the close association between neuroimmune interactions and cardiovascular disease, this review assessed the complex pathophysiological mechanisms connecting neuroimmune interactions and cardiovascular disease. It was revealed that the mental health burden might be a pivotal accomplice causing COVID-19-associated cardiovascular damage. Specifically, the proinflammatory status of patients with a terrible mood state is closely related to overdrive of the hypothalamus-pituitary-adrenal (HPA) axis, sympathovagal imbalance, and endothelial dysfunction, which lead to an increased risk of developing cardiovascular injury during COVID-19. Therefore, during the prevention and treatment of cardiovascular complications in COVID-19 patients, particular attention should be given to relieve the mental health burden of these patients.
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15
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Belcher EK, Culakova E, Gilmore NJ, Hardy SJ, Kleckner AS, Kleckner IR, Lei L, Heckler C, Sohn MB, Thompson BD, Lotta LT, Werner ZA, Geer J, Hopkins JO, Corso SW, Rich DQ, van Wijngaarden E, Janelsins MC. Inflammation, Attention, and Processing Speed in Patients With Breast Cancer Before and After Chemotherapy. J Natl Cancer Inst 2022; 114:712-721. [PMID: 35134984 PMCID: PMC9086766 DOI: 10.1093/jnci/djac022] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Revised: 07/20/2021] [Accepted: 01/20/2022] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Inflammation may contribute to cognitive difficulties in patients with breast cancer. We tested 2 hypotheses: inflammation is elevated in patients with breast cancer vs noncancer control participants and inflammation in patients is associated with worse attention and processing speed over the course of chemotherapy. METHODS Serum cytokines (interleukin [IL]-4, 6, 8, 10; tumor necrosis factor [TNF]-α) and soluble receptors [sTNFRI, II]) were measured in 519 females with breast cancer before and after chemotherapy and 338 females without cancer serving as control participants. Attention and processing speed were measured by Rapid Visual Processing (RVP), Backward Counting (BCT), and Trail Making-A (TMT-A) tests. Linear regression models examined patient vs control cytokines and receptor levels, adjusting for covariates. Linear regression models also examined relationships between patient cytokines and receptor levels and test performance, adjusting for age, body mass index, anxiety, depression, cognitive reserve, and chemotherapy duration. Statistical tests were 2-sided (α = .05). RESULTS sTNFRI and sTNFRII increased over time in patients relative to controls, whereas IL-4, IL-6, and IL-10 decreased. Prechemotherapy, higher IL-8 associated with worse BCT (β = 0.610, SE = 0.241, P = .01); higher IL-4 (β = -1.098, SE = 0.516, P = .03) and IL-10 (β = -0.835, SE = 0.414, P = .04) associated with better TMT-A. Postchemotherapy, higher IL-8 (β = 0.841, SE = 0.260, P = .001), sTNFRI (β = 6.638, SE = 2.208, P = .003), and sTNFRII (β = 0.913, SE = 0.455, P = .045) associated with worse BCT; higher sTNFRII also associated with worse RVP (β = -1.316, SE = 0.587, P = .03). At prechemotherapy, higher IL-4 predicted RVP improvement over time (β = 0.820, SE = 0.336, P = .02); higher sTNFRI predicted worse BCT over time (β = 5.566, SE = 2.367, P = .02). Longitudinally, increases in IL-4 associated with BCT improvement (β = -0.564, SE = 0.253, P = .03). CONCLUSIONS Generally, worse attention and processing speed were associated with higher inflammatory cytokines and receptors and lower anti-inflammatory cytokines in patients; future confirmatory studies are needed.
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Affiliation(s)
- Elizabeth K Belcher
- Department of Surgery, Supportive Care in Cancer Division, University of Rochester Medical Center, Rochester, NY, USA
| | - Eva Culakova
- Department of Surgery, Supportive Care in Cancer Division, University of Rochester Medical Center, Rochester, NY, USA
| | - Nikesha J Gilmore
- Department of Surgery, Supportive Care in Cancer Division, University of Rochester Medical Center, Rochester, NY, USA
| | - Sara J Hardy
- Department of Surgery, Supportive Care in Cancer Division, University of Rochester Medical Center, Rochester, NY, USA
- Department of Radiation Oncology and Neurology, University of Rochester Medical Center, Rochester, NY, USA
| | - Amber S Kleckner
- Department of Surgery, Supportive Care in Cancer Division, University of Rochester Medical Center, Rochester, NY, USA
| | - Ian R Kleckner
- Department of Surgery, Supportive Care in Cancer Division, University of Rochester Medical Center, Rochester, NY, USA
| | - Lianlian Lei
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Charles Heckler
- Department of Surgery, Supportive Care in Cancer Division, University of Rochester Medical Center, Rochester, NY, USA
| | - Michael B Sohn
- Department of Biostatistics and Computational Biology, University of Rochester, Rochester, NY, USA
| | - Bryan D Thompson
- Department of Surgery, Supportive Care in Cancer Division, University of Rochester Medical Center, Rochester, NY, USA
| | - Louis T Lotta
- Department of Surgery, Supportive Care in Cancer Division, University of Rochester Medical Center, Rochester, NY, USA
| | - Zachary A Werner
- Department of Surgery, Supportive Care in Cancer Division, University of Rochester Medical Center, Rochester, NY, USA
| | - Jodi Geer
- Metro Minnesota Community Oncology Research Consortium, Louis Park, MN, USA
| | | | - Steven W Corso
- Upstate Carolina National Cancer Institute Community Oncology Research Program, Spartanburg Regional Medical Center, Spartanburg, SC, USA
| | - David Q Rich
- Department of Public Health Sciences, University of Rochester Medical Center, Rochester, NY, USA
| | - Edwin van Wijngaarden
- Department of Public Health Sciences, University of Rochester Medical Center, Rochester, NY, USA
| | - Michelle C Janelsins
- Department of Surgery, Supportive Care in Cancer Division, University of Rochester Medical Center, Rochester, NY, USA
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16
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Pettigrew C, Soldan A, Brichko R, Zhu Y, Wang MC, Kutten K, Bilgel M, Mori S, Miller MI, Albert M. Computerized paired associate learning performance and imaging biomarkers in older adults without dementia. Brain Imaging Behav 2022; 16:921-929. [PMID: 34686968 PMCID: PMC9012682 DOI: 10.1007/s11682-021-00583-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/05/2021] [Indexed: 01/21/2023]
Abstract
This cross-sectional study examined whether performance on the computerized Paired Associate Learning (PAL) task from the Cambridge Neuropsychological Test Automated Battery is associated with amyloid positivity as measured by Positron Emission Tomography, regional volume composites as measured by Magnetic Resonance Imaging, and cognitive impairment. Participants from the BIOCARD Study (N = 73, including 62 cognitively normal and 11 with mild cognitive impairment; M age = 70 years) completed the PAL task, a comprehensive clinical and neuropsychological assessment, and neuroimaging as part of their annual study visit. In linear regressions covarying age, sex, years of education and diagnosis, higher PAL error scores were associated with amyloid positivity but not with medial temporal or cortical volume composites. By comparison, standard neuropsychological measures of episodic memory and global cognition were unrelated to amyloid positivity, but better performance on the verbal episodic memory measures was associated with larger cortical volume composites. Participants with mild cognitive impairment demonstrated worse cognitive performance on all of the cognitive measures, including the PAL task. These findings suggest that this computerized visual paired associate learning task may be more sensitive to amyloid positivity than standard neuropsychological tests, and may therefore be a promising tool for detecting amyloid positivity in non-demented participants.
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Affiliation(s)
- Corinne Pettigrew
- Department of Neurology, Division of Cognitive Neuroscience, Johns Hopkins University School of Medicine, 1620 McElderry Street, Reed Hall West - 1, Baltimore, MD, 21205, USA.
| | - Anja Soldan
- Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
| | - Rostislav Brichko
- Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
| | - Yuxin Zhu
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21287, USA
| | - Mei-Cheng Wang
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21287, USA
| | - Kwame Kutten
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA
| | - Murat Bilgel
- Laboratory of Behavioral Neuroscience, Intramural Research Program, National Institute On Aging, Baltimore, MD, 21224, USA
| | - Susumu Mori
- Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, USA
| | - Michael I Miller
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA
| | - Marilyn Albert
- Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
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17
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Oberlin LE, Erickson KI, Mackey R, Klunk WE, Aizenstein H, Lopresti BJ, Kuller LH, Lopez OL, Snitz BE. Peripheral inflammatory biomarkers predict the deposition and progression of amyloid-β in cognitively unimpaired older adults. Brain Behav Immun 2021; 95:178-189. [PMID: 33737171 PMCID: PMC8647033 DOI: 10.1016/j.bbi.2021.03.015] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/15/2020] [Revised: 02/23/2021] [Accepted: 03/10/2021] [Indexed: 12/28/2022] Open
Abstract
INTRODUCTION Systemic inflammation has been increasingly implicated in the pathogenesis of Alzheimer's disease (AD), yet the mechanistic and temporal specificity of this relationship is poorly understood. We aimed to characterize the cross-sectional and longitudinal associations between peripheral inflammatory biomarkers, cognition, and Aβ deposition in oldest-old cognitively unimpaired (CU) adults. METHODS A large sample of 139 CU older adults (mean age (range) = 85.4 (82-95)) underwent neuropsychological testing, Pittsburgh compound-B (PiB)-PET imaging and structural MRI. Hierarchical regression models examined associations between circulating inflammatory biomarkers (Interleukin-6 (IL-6), soluble Tumor Necrosis Factor receptors 1 and 2 (sTNFr1 and sTNFr2), soluble cluster of differentiation 14 (sCD14), C-reactive protein (CRP)), cognition, and global and regional Aβ deposition at baseline and over follow-up. Indices of preclinical disease, including pathologic Aβ status and hippocampal volume, were incorporated to assess conditional associations. RESULTS At baseline evaluation, higher concentrations of IL-6 and sTNFr2 were associated with greater global Aβ burden in those with lower hippocampal volume. In longitudinal models, IL-6 predicted subsequent conversion to MCI and both IL-6 and CRP predicted greater change in global and regional Aβ deposition specifically among participants PiB-positive at baseline. These relationships withstood adjustment for demographic factors, anti-hypertensive medication use, history of diabetes, heart disease, APOE ε4 carrier status, and white matter lesions. DISCUSSION In a large prospective sample of CU adults aged 80 and over, peripheral inflammatory biomarkers were associated with and predictive of the progression of Aβ deposition. This was specific to those with biomarker evidence of preclinical AD at baseline, supporting recent evidence of disease-state-dependent differences in inflammatory expression profiles. Chronic, low-level systemic inflammation may exacerbate the deposition of Aβ pathology among those with emerging disease processes, and place individuals at a higher risk of developing clinically significant cognitive impairment.
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Affiliation(s)
| | - Kirk I. Erickson
- Department of Psychology, University of Pittsburgh, Pittsburgh, PA,Center for the Neural Basis of Cognition, University of Pittsburgh, Pittsburgh, PA,College of Science, Health, Engineering and Education, Murdoch University, Perth, Australia
| | - Rachel Mackey
- Premier Applied Sciences, Premier Inc., Charlotte, North Carolina,Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA
| | - William E. Klunk
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA
| | | | | | - Lewis H. Kuller
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA
| | - Oscar L. Lopez
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA,Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA
| | - Beth E. Snitz
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA
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18
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Treelet transform analysis to identify clusters of systemic inflammatory variance in a population with moderate-to-severe traumatic brain injury. Brain Behav Immun 2021; 95:45-60. [PMID: 33524553 PMCID: PMC9004489 DOI: 10.1016/j.bbi.2021.01.026] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/15/2020] [Revised: 12/20/2020] [Accepted: 01/21/2021] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Inflammatory cascades following traumatic brain injury (TBI) can have both beneficial and detrimental effects on recovery. Single biomarker studies do not adequately reflect the major arms of immunity and their relationships to long-term outcomes. Thus, we applied treelet transform (TT) analysis to identify clusters of interrelated inflammatory markers reflecting major components of systemic immune function for which substantial variation exists among individuals with moderate-to-severe TBI. METHODS Serial blood samples from 221 adults with moderate-to-severe TBI were collected over 1-6 months post-injury (n = 607 samples). Samples were assayed for 33 inflammatory markers using Millipore multiplex technology. TT was applied to standardized mean biomarker values generated to identify latent patterns of correlated markers. Treelet clusters (TC) were characterized by biomarkers related to adaptive immunity (TC1), innate immunity (TC2), soluble molecules (TC3), allergy immunity (TC4), and chemokines (TC5). For each TC, a score was generated as the linear combination of standardized biomarker concentrations and cluster load for each individual in the cohort. Ordinal logistic or linear regression was used to test associations between TC scores and 6- and 12-month Glasgow Outcome Scale (GOS), Disability Rating Scale (DRS), and covariates. RESULTS When adjusting for clinical covariates, TC5 was significantly associated with 6-month GOS (odds ratio, OR = 1.44; p-value, p = 0.025) and 6-month DRS scores (OR = 1.46; p = 0.013). TC5 relationships were attenuated when including all TC scores in the model (GOS: OR = 1.29, p = 0.163; DRS: OR = 1.33, p = 0.100). When adjusting for all TC scores and covariates, only TC3 was associated with 6- and 12-month GOS (OR = 1.32, p = 0.041; OR = 1.39, p = 0.002) and also 6- and 12-month DRS (OR = 1.38, p = 0.016; OR = 1.58, p = 0.0002). When applying TT to inflammation markers significantly associated with 6-month GOS, multivariate modeling confirmed that TC3 remained significantly associated with GOS. Biomarker cluster membership remained consistent between the GOS-specific dendrogram and overall dendrogram. CONCLUSIONS TT effectively characterized chronic, systemic immunity among a cohort of individuals with moderate-to-severe TBI. We posit that chronic chemokine levels are effector molecules propagating cellular immune dysfunction, while chronic soluble receptors are inflammatory damage readouts perpetuated, in part, by persistent dysfunctional cellular immunity to impact neuro-recovery.
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19
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Soldan A, Pettigrew C, Zhu Y, Wang MC, Bilgel M, Hou X, Lu H, Miller MI, Albert M. Association of Lifestyle Activities with Functional Brain Connectivity and Relationship to Cognitive Decline among Older Adults. Cereb Cortex 2021; 31:5637-5651. [PMID: 34184058 DOI: 10.1093/cercor/bhab187] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2021] [Revised: 06/02/2021] [Accepted: 06/03/2021] [Indexed: 01/05/2023] Open
Abstract
This study examines the relationship of engagement in different lifestyle activities to connectivity in large-scale functional brain networks, and whether network connectivity modifies cognitive decline, independent of brain amyloid levels. Participants (N = 153, mean age = 69 years, including N = 126 with amyloid imaging) were cognitively normal when they completed resting-state functional magnetic resonance imaging, a lifestyle activity questionnaire, and cognitive testing. They were followed with annual cognitive tests up to 5 years (mean = 3.3 years). Linear regressions showed positive relationships between cognitive activity engagement and connectivity within the dorsal attention network, and between physical activity levels and connectivity within the default-mode, limbic, and frontoparietal control networks, and global within-network connectivity. Additionally, higher cognitive and physical activity levels were independently associated with higher network modularity, a measure of functional network specialization. These associations were largely independent of APOE4 genotype, amyloid burden, global brain atrophy, vascular risk, and level of cognitive reserve. Moreover, higher connectivity in the dorsal attention, default-mode, and limbic networks, and greater global connectivity and modularity were associated with reduced cognitive decline, independent of APOE4 genotype and amyloid burden. These findings suggest that changes in functional brain connectivity may be one mechanism by which lifestyle activity engagement reduces cognitive decline.
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Affiliation(s)
- Anja Soldan
- Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Corinne Pettigrew
- Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Yuxin Zhu
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21287, USA
| | - Mei-Cheng Wang
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21287, USA
| | - Murat Bilgel
- Laboratory of Behavioral Neuroscience, Intramural Research Program, National Institute on Aging, Baltimore, MD 21224, USA
| | - Xirui Hou
- Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Hanzhang Lu
- Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Michael I Miller
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Marilyn Albert
- Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
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20
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Resting state brain network functional connectivity is not associated with inflammatory markers and blood cell counts in older adults. Clin Neurophysiol 2021; 132:1677-1686. [PMID: 34044190 DOI: 10.1016/j.clinph.2021.03.042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Revised: 01/28/2021] [Accepted: 03/02/2021] [Indexed: 11/21/2022]
Abstract
OBJECTIVE Systemic inflammation and monocyte counts have previously been associated with changes in resting state functional connectivity (rsFC) in cross-sectional neuroimaging studies. We therefore investigated this association in a longitudinal study of older patients. METHODS We performed a secondary analysis of longitudinal data from older patients who underwent functional magnet resonance imaging (fMRI) scans before and 3 months after elective surgery. Additionally, serum levels of C-reactive protein and Interleukin-6 as markers of inflammation and leukocyte, lymphocyte and monocyte counts were determined. Correlations between these markers and pre- or postoperative rsFC between regions previously associated with inflammatory markers were investigated using general linear regression models. RESULTS We found no significant correlations between inflammatory markers or blood cell counts and mean connectivity within four resting state networks (RSNs), neither preoperatively nor postoperatively. Significant inter-region rsFC was found within these RSNs between a few regions either pre- or postoperatively, but no inter-region connections were consistently observed in both pre- and postoperative fMRI scans. CONCLUSIONS Inflammatory markers and monocyte counts were not associated with rsFC in our study, contrasting previous results. SIGNIFICANCE Multiple measurements in the same individuals, as performed here, provide a way to reduce the high risk of false positive results in fMRI studies. TRIAL REGISTRATION Clinicaltrials.gov (registration number NCT02265263).
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21
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Tang G, Chen P, Chen G, Zhong S, Gong J, Zhong H, Ye T, Chen F, Wang J, Luo Z, Qi Z, Jia Y, Wang Y, Huang L. Inflammation is correlated with abnormal functional connectivity in unmedicated bipolar depression: an independent component analysis study of resting-state fMRI. Psychol Med 2021; 52:1-11. [PMID: 33602352 DOI: 10.1017/s003329172100009x] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
BACKGROUND Inflammation might play a role in bipolar disorder (BD), but it remains unclear the relationship between inflammation and brain structural and functional abnormalities in patients with BD. In this study, we focused on the alterations of functional connectivity (FC), peripheral pro-inflammatory cytokines and their correlations to investigate the role of inflammation in FC in BD depression. METHODS In this study, 42 unmedicated patients with BD II depression and 62 healthy controls (HCs) were enrolled. Resting-state-functional magnetic resonance imaging was performed in all participants and independent component analysis was used. Serum levels of Interleukin-6 (IL-6) and Interleukin-8 (IL-8) were measured in all participants. Correlation between FC values and IL-6 and IL-8 levels in BD was calculated. RESULTS Compared with the HCs, BD II patients showed decreased FC in the left orbitofrontal cortex (OFC) implicating the limbic network and the right precentral gyrus implicating the somatomotor network. BD II showed increased IL-6 (p = 0.039), IL-8 (p = 0.002) levels. Moreover, abnormal FC in the right precentral gyrus were inversely correlated with the IL-8 (r = -0.458, p = 0.004) levels in BD II. No significant correlation was found between FC in the left OFC and cytokines levels. CONCLUSIONS Our findings that serum IL-8 levels are associated with impaired FC in the right precentral gyrus in BD II patients suggest that inflammation might play a crucial role in brain functional abnormalities in BD.
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Affiliation(s)
- Guixian Tang
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou510630, China
- Institute of Molecular and Functional Imaging, Jinan University, Guangzhou510630, China
| | - Pan Chen
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou510630, China
- Institute of Molecular and Functional Imaging, Jinan University, Guangzhou510630, China
| | - Guanmao Chen
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou510630, China
- Institute of Molecular and Functional Imaging, Jinan University, Guangzhou510630, China
| | - Shuming Zhong
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou510630, China
| | - JiaYing Gong
- Institute of Molecular and Functional Imaging, Jinan University, Guangzhou510630, China
- Department of Radiology, Six Affiliated Hospital of Sun Yat-sen University, Guangzhou510655, China
| | - Hui Zhong
- Biomedical Translational Research Institute, Jinan University, Guangzhou510630, China
| | - Tao Ye
- Clinical Laboratory Center, First Affiliated Hospital of Jinan University, Guangzhou510630, China
| | - Feng Chen
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou510630, China
- Institute of Molecular and Functional Imaging, Jinan University, Guangzhou510630, China
| | - Jurong Wang
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou510630, China
- Institute of Molecular and Functional Imaging, Jinan University, Guangzhou510630, China
| | - Zhenye Luo
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou510630, China
- Institute of Molecular and Functional Imaging, Jinan University, Guangzhou510630, China
| | - Zhangzhang Qi
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou510630, China
- Institute of Molecular and Functional Imaging, Jinan University, Guangzhou510630, China
| | - Yanbin Jia
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou510630, China
| | - Ying Wang
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou510630, China
- Institute of Molecular and Functional Imaging, Jinan University, Guangzhou510630, China
| | - Li Huang
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou510630, China
- Institute of Molecular and Functional Imaging, Jinan University, Guangzhou510630, China
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22
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Bettcher BM, Tansey MG, Dorothée G, Heneka MT. Peripheral and central immune system crosstalk in Alzheimer disease - a research prospectus. Nat Rev Neurol 2021; 17:689-701. [PMID: 34522039 PMCID: PMC8439173 DOI: 10.1038/s41582-021-00549-x] [Citation(s) in RCA: 161] [Impact Index Per Article: 53.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/30/2021] [Indexed: 02/08/2023]
Abstract
Dysregulation of the immune system is a cardinal feature of Alzheimer disease (AD), and a considerable body of evidence indicates pathological alterations in central and peripheral immune responses that change over time. Considering AD as a systemic immune process raises important questions about how communication between the peripheral and central compartments occurs and whether this crosstalk represents a therapeutic target. We established a whitepaper workgroup to delineate the current status of the field and to outline a research prospectus for advancing our understanding of peripheral-central immune crosstalk in AD. To guide the prospectus, we begin with an overview of seminal clinical observations that suggest a role for peripheral immune dysregulation and peripheral-central immune communication in AD, followed by formative animal data that provide insights into possible mechanisms for these clinical findings. We then present a roadmap that defines important next steps needed to overcome conceptual and methodological challenges, opportunities for future interdisciplinary research, and suggestions for translating promising mechanistic studies into therapeutic interventions.
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Affiliation(s)
- Brianne M. Bettcher
- grid.430503.10000 0001 0703 675XBehavioral Neurology Section, Department of Neurology, University of Colorado Alzheimer’s and Cognition Center, University of Colorado Anschutz Medical Campus, Aurora, CO USA
| | - Malú G. Tansey
- grid.15276.370000 0004 1936 8091Department of Neuroscience, Center for Translational Research in Neurodegenerative Disease, University of Florida College of Medicine, Gainesville, FL USA
| | - Guillaume Dorothée
- grid.412370.30000 0004 1937 1100Sorbonne Université, INSERM, Centre de Recherche Saint-Antoine, CRSA, Team “Immune System and Neuroinflammation”, Hôpital Saint-Antoine, Paris, France
| | - Michael T. Heneka
- grid.15090.3d0000 0000 8786 803XDepartment of Neurodegenerative Diseases & Geropsychiatry/Neurology, University of Bonn Medical Center, Bonn, Germany ,grid.168645.80000 0001 0742 0364Department of Infectious Diseases and Immunology, University of Massachusetts Medical School, Worcester, MA USA
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23
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Wang ZT, Zhang C, Wang YJ, Dong Q, Tan L, Yu JT. Selective neuronal vulnerability in Alzheimer's disease. Ageing Res Rev 2020; 62:101114. [PMID: 32569730 DOI: 10.1016/j.arr.2020.101114] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2020] [Revised: 06/04/2020] [Accepted: 06/09/2020] [Indexed: 12/16/2022]
Abstract
Alzheimer's disease (AD) is defined by a deficiency in specific behavioural and/or cognitive domains, pointing to selective vulnerabilities of specific neurons from different brain regions. These vulnerabilities can be compared across neuron subgroups to identify the most vulnerable neuronal types, regions, and time points for further investigation. Thus, the relevant organizational frameworks for brain subgroups will hold great values for a clear understanding of the progression in AD. Presently, the neuronal vulnerability has yet urgently required to be elucidated as not yet been clearly defined. It is suggested that cell-autonomous and non-cell-autonomous mechanisms can affect the neuronal vulnerability to stressors, and in turn modulates AD progression. This review examines cell-autonomous and non-cell-autonomous mechanisms that contribute to the neuronal vulnerability. Collectively, the cell-autonomous mechanisms seem to be the primary drivers responsible for initiating specific stressor-related neuronal vulnerability with pathological changes in certain brain areas, which then utilize non-cell-autonomous mechanisms and result in subsequent progression of AD. In summary, this article has provided a new perspective on the preventative and therapeutic options for AD.
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Affiliation(s)
- Zuo-Teng Wang
- Department of Neurology, Qingdao Municipal Hospital, College of Medicine and Pharmaceutics, Ocean University of China, Qingdao, China
| | - Can Zhang
- Genetics and Aging Research Unit, McCance Center for Brain Health, MassGeneral Institute for Neurodegenerative Diseases (MIND), Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, 02129-2060, USA
| | - Yan-Jiang Wang
- Department of Neurology, Daping Hospital, Third Military Medical University, China
| | - Qiang Dong
- Department of Neurology and Institute of Neurology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Lan Tan
- Department of Neurology, Qingdao Municipal Hospital, College of Medicine and Pharmaceutics, Ocean University of China, Qingdao, China; Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Jin-Tai Yu
- Department of Neurology and Institute of Neurology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.
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