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Sun Z, Kwon JS, Ren Y, Chen S, Walker CK, Lu X, Cates K, Karahan H, Sviben S, Fitzpatrick JAJ, Valdez C, Houlden H, Karch CM, Bateman RJ, Sato C, Mennerick SJ, Diamond MI, Kim J, Tanzi RE, Holtzman DM, Yoo AS. Modeling late-onset Alzheimer's disease neuropathology via direct neuronal reprogramming. Science 2024; 385:adl2992. [PMID: 39088624 DOI: 10.1126/science.adl2992] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Accepted: 05/31/2024] [Indexed: 08/03/2024]
Abstract
Late-onset Alzheimer's disease (LOAD) is the most common form of Alzheimer's disease (AD). However, modeling sporadic LOAD that endogenously captures hallmark neuronal pathologies such as amyloid-β (Aβ) deposition, tau tangles, and neuronal loss remains an unmet need. We demonstrate that neurons generated by microRNA (miRNA)-based direct reprogramming of fibroblasts from individuals affected by autosomal dominant AD (ADAD) and LOAD in a three-dimensional environment effectively recapitulate key neuropathological features of AD. Reprogrammed LOAD neurons exhibit Aβ-dependent neurodegeneration, and treatment with β- or γ-secretase inhibitors before (but not subsequent to) Aβ deposit formation mitigated neuronal death. Moreover inhibiting age-associated retrotransposable elements in LOAD neurons reduced both Aβ deposition and neurodegeneration. Our study underscores the efficacy of modeling late-onset neuropathology of LOAD through high-efficiency miRNA-based neuronal reprogramming.
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Affiliation(s)
- Zhao Sun
- Department of Developmental Biology, Washington University School of Medicine, St. Louis, MO 63110, USA
- Center for Regenerative Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA
- Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Ji-Sun Kwon
- Department of Developmental Biology, Washington University School of Medicine, St. Louis, MO 63110, USA
- Program in Computational and Systems Biology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Yudong Ren
- Department of Developmental Biology, Washington University School of Medicine, St. Louis, MO 63110, USA
- Program in Developmental, Regenerative, and Stem Cell Biology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Shawei Chen
- Department of Developmental Biology, Washington University School of Medicine, St. Louis, MO 63110, USA
- Center for Regenerative Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA
- Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Courtney K Walker
- Department of Developmental Biology, Washington University School of Medicine, St. Louis, MO 63110, USA
- Center for Regenerative Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA
- Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Xinguo Lu
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Kitra Cates
- Department of Developmental Biology, Washington University School of Medicine, St. Louis, MO 63110, USA
- Program in Molecular Genetics and Genomics, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Hande Karahan
- Stark Neurosciences Research Institute, Indiana University School of Medicine, Indianapolis, IN 46202, USA
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Sanja Sviben
- Washington University Center for Cellular Imaging, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - James A J Fitzpatrick
- Washington University Center for Cellular Imaging, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Clarissa Valdez
- Center for Alzheimer's and Neurodegenerative Diseases, Peter O'Donnell Jr. Brain Institute, UT Southwestern Medical Center, Dallas, TX 75390, USA
| | - Henry Houlden
- UCL Institute of Neurology, Queen Square, London, WC1N 3BG, UK
| | - Celeste M Karch
- Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, MO 63110, USA
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110, USA
- Knight Alzheimer's Disease Research Center, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Randall J Bateman
- Tracy Family SILQ Center for Neurodegenerative Biology, St. Louis, MO 63110, USA
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Chihiro Sato
- Tracy Family SILQ Center for Neurodegenerative Biology, St. Louis, MO 63110, USA
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Steven J Mennerick
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Marc I Diamond
- Center for Alzheimer's and Neurodegenerative Diseases, Peter O'Donnell Jr. Brain Institute, UT Southwestern Medical Center, Dallas, TX 75390, USA
| | - Jungsu Kim
- Stark Neurosciences Research Institute, Indiana University School of Medicine, Indianapolis, IN 46202, USA
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Rudolph E Tanzi
- Genetics and Aging Research Unit, MassGeneral Institute for Neurodegenerative Disease, McCance Center for Brain Health, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA 02129, USA
| | - David M Holtzman
- Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, MO 63110, USA
- Knight Alzheimer's Disease Research Center, Washington University School of Medicine, St. Louis, MO 63110, USA
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Andrew S Yoo
- Department of Developmental Biology, Washington University School of Medicine, St. Louis, MO 63110, USA
- Center for Regenerative Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA
- Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, MO 63110, USA
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Wu X, Zhu X, Pan Y, Gu X, Liu X, Chen S, Zhang Y, Xu T, Xu N, Sun S. Amygdala neuronal dyshomeostasis via 5-HT receptors mediates mood and cognitive defects in Alzheimer's disease. Aging Cell 2024; 23:e14187. [PMID: 38716507 PMCID: PMC11320345 DOI: 10.1111/acel.14187] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2024] [Revised: 04/08/2024] [Accepted: 04/18/2024] [Indexed: 08/15/2024] Open
Abstract
Behavioral changes or neuropsychiatric symptoms (NPSs) are common features in dementia and are associated with accelerated cognitive impairment and earlier deaths. However, how NPSs are intertwined with cognitive decline remains elusive. In this study, we identify that the basolateral amygdala (BLA) is a key brain region that is associated with mood disorders and memory decline in the AD course. During the process from pre- to post-onset in AD, the dysfunction of parvalbumin (PV) interneurons and pyramidal neurons in the amygdala leads to hyperactivity of pyramidal neurons in the basal state and insensitivity to external stimuli. We further demonstrate that serotonin (5-HT) receptors in distinct neurons synergistically regulate the BLA microcircuit of AD rather than 5-HT levels, in which both restrained inhibitory inputs by excessive 5-HT1AR signaling in PV interneurons and depolarized pyramidal neurons via upregulated 5-HT2AR contribute to aberrant neuronal hyperactivity. Downregulation of these two 5-HT receptors simultaneously enables neurons to resist β-amyloid peptides (Aβ) neurotoxicity and ameliorates the mood and cognitive defects. Therefore, our study reveals a crucial role of 5-HT receptors for regulating neuronal homeostasis in AD pathogenesis, and this would provide early intervention and potential targets for AD cognitive decline.
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Affiliation(s)
- Xin‐Rong Wu
- Department of NeurologyInstitute of Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
| | - Xiao‐Na Zhu
- Department of Anatomy and Physiology, Collaborative Innovation Center for Brain ScienceShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Yuan‐Bo Pan
- Department of Neurosurgery, Shanghai Ninth People's HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Xue Gu
- Department of Anatomy and Physiology, Collaborative Innovation Center for Brain ScienceShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Xian‐Dong Liu
- Department of NeurologyInstitute of Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
- Department of Anatomy and Physiology, Collaborative Innovation Center for Brain ScienceShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Si Chen
- Department of Anatomy and Physiology, Collaborative Innovation Center for Brain ScienceShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Yu Zhang
- Department of Anatomy and Physiology, Collaborative Innovation Center for Brain ScienceShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Tian‐Le Xu
- Department of Anatomy and Physiology, Collaborative Innovation Center for Brain ScienceShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Nan‐Jie Xu
- Department of Anatomy and Physiology, Collaborative Innovation Center for Brain ScienceShanghai Jiao Tong University School of MedicineShanghaiChina
- Songjiang Hospital and Songjiang Research InstituteShanghai Jiao Tong University School of MedicineShanghaiChina
- Key Laboratory of Cell Differentiation and Apoptosis of the Chinese Ministry of EducationShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai Key Laboratory of Emotions and Affective DisordersShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Suya Sun
- Department of NeurologyInstitute of Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
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Cheng Z, Nie W, Leng J, Yang L, Wang Y, Li X, Guo L. Amygdala and cognitive impairment in cerebral small vessel disease: structural, functional, and metabolic changes. Front Neurol 2024; 15:1398009. [PMID: 39070051 PMCID: PMC11275956 DOI: 10.3389/fneur.2024.1398009] [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: 03/11/2024] [Accepted: 06/27/2024] [Indexed: 07/30/2024] Open
Abstract
Cerebral small vessel disease (CSVD) is a prevalent vascular disorder that has been consistently associated with vascular cognitive impairment (VCI). The diagnosis of CSVD continues to rely on magnetic resonance imaging (MRI). Epidemiological data indicate that the characteristic MRI features of CSVD, including white matter hyperintensity (WMH) and lacunar infarction, are very common among individuals over 40 years of age in community studies. This prevalence poses a significant burden on many low- and middle-income families. The amygdala plays a crucial role in integrating sensory and associative information to regulate emotional cognition. Although many previous studies have linked alterations in the amygdala to various diseases, such as depression, there has been little research on CSVD-associated alterations in the amygdala due to the complexity of CSVD. In this paper, we summarize the various imaging features of CSVD and discuss the correlation between amygdala changes and VCI. We also explore how new neuroimaging methods can assess amygdala changes early, laying a foundation for future comprehensive exploration of the pathogenesis of CSVD.
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Affiliation(s)
- Zhenyu Cheng
- School of Medical Imaging, Binzhou Medical University, Yantai, Shandong, China
| | - Wenying Nie
- Jinan Maternity and Child Care Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Junhong Leng
- Jinan Maternity and Child Care Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Linfeng Yang
- Jinan Maternity and Child Care Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Yuanyuan Wang
- School of Medical Imaging, Binzhou Medical University, Yantai, Shandong, China
| | - Xianglin Li
- School of Medical Imaging, Binzhou Medical University, Yantai, Shandong, China
| | - Lingfei Guo
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
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Yasuno F, Kimura Y, Ogata A, Ikenuma H, Abe J, Minami H, Nihashi T, Yokoi K, Hattori S, Shimoda N, Watanabe A, Kasuga K, Ikeuchi T, Takeda A, Sakurai T, Ito K, Kato T. Trait-anxiety and glial-related neuroinflammation of the amygdala and its associated regions in Alzheimer's disease: A significant correlation. Brain Behav Immun Health 2024; 38:100795. [PMID: 38799793 PMCID: PMC11126804 DOI: 10.1016/j.bbih.2024.100795] [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: 02/24/2024] [Revised: 04/28/2024] [Accepted: 05/12/2024] [Indexed: 05/29/2024] Open
Abstract
Background Positron emission tomography, which assesses the binding of translocator protein radiotracers, 11C-DPA-713, may be a sensitive method for determining glial-mediated neuroinflammation levels. This study investigated the relationship between regional 11C-DPA713 binding potential (BPND) and anxiety in patients with Alzheimer's disease (AD) continuum. Methods Nineteen patients with AD continuum determined to be amyloid-/p-tau 181-positive via cerebrospinal fluid analysis were included in this cross-sectional study (mild cognitive impairment [MCI, n = 5] and AD [n = 14]). Anxiety was evaluated using the State-Trait Anxiety Inventory (STAI). A whole-brain voxel-based analysis was performed to examine the relationship between 11C-DPA-713-BPND values at each voxel and the STAI score. Stepwise multiple regression analysis was performed to determine the predictors of STAI scores using independent variables, including 11C-DPA-713-BPND values within significant clusters. 11C-DPA-713-BPND values were compared between patients with AD continuum with low-to-moderate and high STAI scores. Results Voxel-based analysis revealed a positive correlation between trait anxiety severity and 11C-DPA713-BPND values in the centromedial amygdala and the left inferior occipital area [P < 0.001 (uncorrected) at the voxel-level]. 11C-DPA713-BPND values in these regions were a strong predictor of the STAI trait anxiety score. Specifically, patients with AD continuum and high trait anxiety had increased 11C-DPA713-BPND values in these regions. Conclusions The amygdala-occipital lobe circuit influences the control of emotional generation, and disruption of this network by AD pathology-induced inflammation may contribute to the expression of anxiety. Our findings suggest that suppression of inflammation can help effectively treat anxiety by attenuating damage to the amygdala and its associated areas.
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Affiliation(s)
- Fumihiko Yasuno
- National Hospital for Geriatric Medicine, National Center for Geriatrics and Gerontology, Obu, Japan
- Department of Clinical and Experimental Neuroimaging, Center for Development of Advanced Medicine for Dementia, National Center for Geriatrics and Gerontology, Obu, Japan
| | - Yasuyuki Kimura
- National Hospital for Geriatric Medicine, National Center for Geriatrics and Gerontology, Obu, Japan
- Department of Clinical and Experimental Neuroimaging, Center for Development of Advanced Medicine for Dementia, National Center for Geriatrics and Gerontology, Obu, Japan
| | - Aya Ogata
- Department of Clinical and Experimental Neuroimaging, Center for Development of Advanced Medicine for Dementia, National Center for Geriatrics and Gerontology, Obu, Japan
- Department of Pharmacy, Faculty of Pharmacy, Gifu University of Medical Science, Kani, Japan
| | - Hiroshi Ikenuma
- Department of Clinical and Experimental Neuroimaging, Center for Development of Advanced Medicine for Dementia, National Center for Geriatrics and Gerontology, Obu, Japan
| | - Junichiro Abe
- Department of Clinical and Experimental Neuroimaging, Center for Development of Advanced Medicine for Dementia, National Center for Geriatrics and Gerontology, Obu, Japan
| | - Hiroyuki Minami
- National Hospital for Geriatric Medicine, National Center for Geriatrics and Gerontology, Obu, Japan
| | - Takashi Nihashi
- National Hospital for Geriatric Medicine, National Center for Geriatrics and Gerontology, Obu, Japan
| | - Kastunori Yokoi
- National Hospital for Geriatric Medicine, National Center for Geriatrics and Gerontology, Obu, Japan
| | - Saori Hattori
- Department of Clinical and Experimental Neuroimaging, Center for Development of Advanced Medicine for Dementia, National Center for Geriatrics and Gerontology, Obu, Japan
| | - Nobuyoshi Shimoda
- Functional Genomics Unit, Medical Genome Center, National Center for Geriatrics and Gerontology, Obu, Japan
| | - Atsushi Watanabe
- Equipment Management Division, Center for Core Facility Administration, National Center for Geriatrics and Gerontology, Obu, Japan
| | - Kensaku Kasuga
- Department of Molecular Genetics, Brain Research Institute, Niigata University, Niigata, Japan
| | - Takeshi Ikeuchi
- Department of Molecular Genetics, Brain Research Institute, Niigata University, Niigata, Japan
| | - Akinori Takeda
- National Hospital for Geriatric Medicine, National Center for Geriatrics and Gerontology, Obu, Japan
| | - Takashi Sakurai
- National Hospital for Geriatric Medicine, National Center for Geriatrics and Gerontology, Obu, Japan
| | - Kengo Ito
- National Hospital for Geriatric Medicine, National Center for Geriatrics and Gerontology, Obu, Japan
- Department of Clinical and Experimental Neuroimaging, Center for Development of Advanced Medicine for Dementia, National Center for Geriatrics and Gerontology, Obu, Japan
| | - Takashi Kato
- National Hospital for Geriatric Medicine, National Center for Geriatrics and Gerontology, Obu, Japan
- Department of Clinical and Experimental Neuroimaging, Center for Development of Advanced Medicine for Dementia, National Center for Geriatrics and Gerontology, Obu, Japan
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Cartas‐Cejudo P, Cortés A, Lachén‐Montes M, Anaya‐Cubero E, Puerta E, Solas M, Fernández‐Irigoyen J, Santamaría E. Neuropathological stage-dependent proteome mapping of the olfactory tract in Alzheimer's disease: From early olfactory-related omics signatures to computational repurposing of drug candidates. Brain Pathol 2024; 34:e13252. [PMID: 38454090 PMCID: PMC11189775 DOI: 10.1111/bpa.13252] [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: 09/27/2023] [Accepted: 02/21/2024] [Indexed: 03/09/2024] Open
Abstract
Alzheimer's disease (AD) is the most common form of dementia, characterized by an early olfactory dysfunction, progressive memory loss, and behavioral deterioration. Albeit substantial progress has been made in characterizing AD-associated molecular and cellular events, there is an unmet clinical need for new therapies. In this study, olfactory tract proteotyping performed in controls and AD subjects (n = 17/group) showed a Braak stage-dependent proteostatic impairment accompanied by the progressive modulation of amyloid precursor protein and tau functional interactomes. To implement a computational repurposing of drug candidates with the capacity to reverse early AD-related olfactory omics signatures (OMSs), we generated a consensual OMSs database compiling differential omics datasets obtained by mass-spectrometry or RNA-sequencing derived from initial AD across the olfactory axis. Using the Connectivity Map-based drug repurposing approach, PKC, EGFR, Aurora kinase, Glycogen synthase kinase, and CDK inhibitors were the top pharmacologic classes capable to restore multiple OMSs, whereas compounds with targeted activity to inhibit PI3K, Insulin-like growth factor 1 (IGF-1), microtubules, and Polo-like kinase (PLK) represented a family of drugs with detrimental potential to induce olfactory AD-associated gene expression changes. To validate the potential therapeutic effects of the proposed drugs, in vitro assays were performed. These validation experiments revealed that pretreatment of human neuron-like SH-SY5Y cells with the EGFR inhibitor AG-1478 showed a neuroprotective effect against hydrogen peroxide-induced damage while the pretreatment with the Aurora kinase inhibitor Reversine reduced amyloid-beta (Aβ)-induced neurotoxicity. Taken together, our data pointed out that OMSs may be useful as substrates for drug repurposing to propose novel neuroprotective treatments against AD.
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Affiliation(s)
- Paz Cartas‐Cejudo
- Clinical Neuroproteomics Unit, Proteomics Platform, Navarrabiomed, Hospitalario Universitario de Navarra (HUN), Universidad Pública de Navarra (UPNA), IdiSNA, Navarra Institute for Health ResearchPamplonaSpain
| | - Adriana Cortés
- Clinical Neuroproteomics Unit, Proteomics Platform, Navarrabiomed, Hospitalario Universitario de Navarra (HUN), Universidad Pública de Navarra (UPNA), IdiSNA, Navarra Institute for Health ResearchPamplonaSpain
| | - Mercedes Lachén‐Montes
- Clinical Neuroproteomics Unit, Proteomics Platform, Navarrabiomed, Hospitalario Universitario de Navarra (HUN), Universidad Pública de Navarra (UPNA), IdiSNA, Navarra Institute for Health ResearchPamplonaSpain
| | - Elena Anaya‐Cubero
- Clinical Neuroproteomics Unit, Proteomics Platform, Navarrabiomed, Hospitalario Universitario de Navarra (HUN), Universidad Pública de Navarra (UPNA), IdiSNA, Navarra Institute for Health ResearchPamplonaSpain
| | - Elena Puerta
- Department of Pharmacology and ToxicologyUniversity of Navarra, IdiSNAPamplonaSpain
| | - Maite Solas
- Department of Pharmacology and ToxicologyUniversity of Navarra, IdiSNAPamplonaSpain
| | - Joaquín Fernández‐Irigoyen
- Clinical Neuroproteomics Unit, Proteomics Platform, Navarrabiomed, Hospitalario Universitario de Navarra (HUN), Universidad Pública de Navarra (UPNA), IdiSNA, Navarra Institute for Health ResearchPamplonaSpain
| | - Enrique Santamaría
- Clinical Neuroproteomics Unit, Proteomics Platform, Navarrabiomed, Hospitalario Universitario de Navarra (HUN), Universidad Pública de Navarra (UPNA), IdiSNA, Navarra Institute for Health ResearchPamplonaSpain
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Astillero‐Lopez V, Villar‐Conde S, Gonzalez‐Rodriguez M, Flores‐Cuadrado A, Ubeda‐Banon I, Saiz‐Sanchez D, Martinez‐Marcos A. Proteomic analysis identifies HSP90AA1, PTK2B, and ANXA2 in the human entorhinal cortex in Alzheimer's disease: Potential role in synaptic homeostasis and Aβ pathology through microglial and astroglial cells. Brain Pathol 2024; 34:e13235. [PMID: 38247340 PMCID: PMC11189773 DOI: 10.1111/bpa.13235] [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: 09/05/2023] [Accepted: 12/18/2023] [Indexed: 01/23/2024] Open
Abstract
Alzheimer's disease (AD), the most prevalent neurodegenerative disorder worldwide, is clinically characterized by cognitive deficits. Neuropathologically, AD brains accumulate deposits of amyloid-β (Aβ) and tau proteins. Furthermore, these misfolded proteins can propagate from cell to cell in a prion-like manner and induce native proteins to become pathological. The entorhinal cortex (EC) is among the earliest areas affected by tau accumulation along with volume reduction and neurodegeneration. Neuron-glia interactions have recently come into focus; however, the role of microglia and astroglia in the pathogenesis of AD remains unclear. Proteomic approaches allow the determination of changes in the proteome to better understand the pathology underlying AD. Bioinformatic analysis of proteomic data was performed to compare ECs from AD and non-AD human brain tissue. To validate the proteomic results, western blot, immunofluorescence, and confocal studies were carried out. The findings revealed that the most disturbed signaling pathway was synaptogenesis. Because of their involvement in synapse function, relationship with Aβ and tau proteins and interactions in the pathway analysis, three proteins were selected for in-depth study: HSP90AA1, PTK2B, and ANXA2. All these proteins showed colocalization with neurons and/or astroglia and microglia and with pathological Aβ and tau proteins. In particular, ANXA2, which is overexpressed in AD, colocalized with amoeboid microglial cells and Aβ plaques surrounded by astrocytes. Taken together, the evidence suggests that unbalanced expression of HSP90AA1, PTK2B, and ANXA2 may play a significant role in synaptic homeostasis and Aβ pathology through microglial and astroglial cells in the human EC in AD.
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Affiliation(s)
- Veronica Astillero‐Lopez
- Neuroplasticity and Neurodegeneration Laboratory, CRIB, Ciudad Real Medical SchoolUniversity of Castilla‐La Mancha (UCLM)Ciudad RealSpain
- Grupo de Neuroplasticidad y Neurodegeneración, Instituto de Investigación Sanitaria de Castilla‐La Mancha (IDISCAM)Castilla‐La ManchaSpain
| | - Sandra Villar‐Conde
- Neuroplasticity and Neurodegeneration Laboratory, CRIB, Ciudad Real Medical SchoolUniversity of Castilla‐La Mancha (UCLM)Ciudad RealSpain
- Grupo de Neuroplasticidad y Neurodegeneración, Instituto de Investigación Sanitaria de Castilla‐La Mancha (IDISCAM)Castilla‐La ManchaSpain
| | - Melania Gonzalez‐Rodriguez
- Neuroplasticity and Neurodegeneration Laboratory, CRIB, Ciudad Real Medical SchoolUniversity of Castilla‐La Mancha (UCLM)Ciudad RealSpain
- Grupo de Neuroplasticidad y Neurodegeneración, Instituto de Investigación Sanitaria de Castilla‐La Mancha (IDISCAM)Castilla‐La ManchaSpain
| | - Alicia Flores‐Cuadrado
- Neuroplasticity and Neurodegeneration Laboratory, CRIB, Ciudad Real Medical SchoolUniversity of Castilla‐La Mancha (UCLM)Ciudad RealSpain
- Grupo de Neuroplasticidad y Neurodegeneración, Instituto de Investigación Sanitaria de Castilla‐La Mancha (IDISCAM)Castilla‐La ManchaSpain
| | - Isabel Ubeda‐Banon
- Neuroplasticity and Neurodegeneration Laboratory, CRIB, Ciudad Real Medical SchoolUniversity of Castilla‐La Mancha (UCLM)Ciudad RealSpain
- Grupo de Neuroplasticidad y Neurodegeneración, Instituto de Investigación Sanitaria de Castilla‐La Mancha (IDISCAM)Castilla‐La ManchaSpain
| | - Daniel Saiz‐Sanchez
- Neuroplasticity and Neurodegeneration Laboratory, CRIB, Ciudad Real Medical SchoolUniversity of Castilla‐La Mancha (UCLM)Ciudad RealSpain
- Grupo de Neuroplasticidad y Neurodegeneración, Instituto de Investigación Sanitaria de Castilla‐La Mancha (IDISCAM)Castilla‐La ManchaSpain
| | - Alino Martinez‐Marcos
- Neuroplasticity and Neurodegeneration Laboratory, CRIB, Ciudad Real Medical SchoolUniversity of Castilla‐La Mancha (UCLM)Ciudad RealSpain
- Grupo de Neuroplasticidad y Neurodegeneración, Instituto de Investigación Sanitaria de Castilla‐La Mancha (IDISCAM)Castilla‐La ManchaSpain
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