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Hernando-Redondo J, Malcampo M, Pérez-Vega KA, Paz-Graniel I, Martínez-González MÁ, Corella D, Estruch R, Salas-Salvadó J, Pintó X, Arós F, Bautista-Castaño I, Romaguera D, Lapetra J, Ros E, Cueto-Galán R, Fitó M, Castañer O. Mediterranean Diet Modulation of Neuroinflammation-Related Genes in Elderly Adults at High Cardiovascular Risk. Nutrients 2024; 16:3147. [PMID: 39339745 PMCID: PMC11434799 DOI: 10.3390/nu16183147] [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: 09/04/2024] [Revised: 09/12/2024] [Accepted: 09/13/2024] [Indexed: 09/30/2024] Open
Abstract
Individuals with dementia and neurodegenerative diseases (NDDs) often suffer from cardiovascular diseases (CVDs). Neuroinflammation driven by conditions involved in CVDs is linked to disruptions in the central nervous system triggering immune reactions, perpetuating an "inflammatory-like" environment. The Mediterranean diet (MedDiet), known for its anti-inflammatory and antioxidant properties, has been proposed as a key factor to attenuate these risks. Blood nuclear cell samples were collected from 134 participants of the PREDIMED trial, which randomized participants to three diets: one supplemented with extra-virgin olive oil (MedDiet-EVOO), another with nuts (MedDiet-Nuts), and a low-fat control diet. These samples were analyzed at baseline and 12-month follow-up to assess the impact of these dietary interventions on gene expression markers. We first selected target genes by analyzing intersections between NDD and CVD associations. Significant gene expression changes from baseline to 12 months were observed in the participants allocated to the MedDiet-EVOO, particularly in CDKN2A, IFNG, NLRP3, PIK3CB, and TGFB2. Additionally, TGFB2 expression changed over time in the MedDiet-Nuts group. Comparative analyses showed significant differences in TGFB2 between MedDiet-EVOO and control, and in NAMPT between MedDiet-Nuts and control. Longitudinal models adjusted for different covariates also revealed significant effects for TGFB2 and NAMPT. In conclusion, our results suggest that one year of traditional MedDiet, especially MedDiet-EVOO, modulates gene expression associated with CVD risk and NDDs in older adults at high CV risk.
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Affiliation(s)
- Javier Hernando-Redondo
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain; (J.H.-R.); (K.A.P.-V.); (I.P.-G.); (M.Á.M.-G.); (J.S.-S.); (F.A.); (E.R.)
- Unit of Cardiovascular Risk and Nutrition, Hospital del Mar Medical Research Institute, 08024 Barcelona, Spain (O.C.)
- Ph.D. Program in Food Science and Nutrition, University of Barcelona, 08028 Barcelona, Spain
| | - Mireia Malcampo
- Unit of Cardiovascular Risk and Nutrition, Hospital del Mar Medical Research Institute, 08024 Barcelona, Spain (O.C.)
| | - Karla Alejandra Pérez-Vega
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain; (J.H.-R.); (K.A.P.-V.); (I.P.-G.); (M.Á.M.-G.); (J.S.-S.); (F.A.); (E.R.)
- Unit of Cardiovascular Risk and Nutrition, Hospital del Mar Medical Research Institute, 08024 Barcelona, Spain (O.C.)
| | - Indira Paz-Graniel
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain; (J.H.-R.); (K.A.P.-V.); (I.P.-G.); (M.Á.M.-G.); (J.S.-S.); (F.A.); (E.R.)
- Departament de Bioquímica i Biotecnologia, Alimentació, Nutrició, Desenvolupament i Salut Mental ANUT-DSM, Universitat Rovira i Virgili, 43201 Reus, Spain
| | - Miguel Ángel Martínez-González
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain; (J.H.-R.); (K.A.P.-V.); (I.P.-G.); (M.Á.M.-G.); (J.S.-S.); (F.A.); (E.R.)
- Department of Preventive Medicine and Public Health, Instituto de Investigación Sanitaria de Navarra (IdiSNA), Universidad de Navarra, 31009 Pamplona, Spain
| | - Dolores Corella
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain; (J.H.-R.); (K.A.P.-V.); (I.P.-G.); (M.Á.M.-G.); (J.S.-S.); (F.A.); (E.R.)
- Departament of Preventive Medicine, University of Valencia, 46010 Valencia, Spain
| | - Ramón Estruch
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain; (J.H.-R.); (K.A.P.-V.); (I.P.-G.); (M.Á.M.-G.); (J.S.-S.); (F.A.); (E.R.)
- Departament of Internal Medicine, Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Hospital Clínic, University of Barcelona, 46010 Barcelona, Spain
| | - Jordi Salas-Salvadó
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain; (J.H.-R.); (K.A.P.-V.); (I.P.-G.); (M.Á.M.-G.); (J.S.-S.); (F.A.); (E.R.)
- Departament de Bioquímica i Biotecnologia, Alimentació, Nutrició, Desenvolupament i Salut Mental ANUT-DSM, Universitat Rovira i Virgili, 43201 Reus, Spain
| | - Xavier Pintó
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain; (J.H.-R.); (K.A.P.-V.); (I.P.-G.); (M.Á.M.-G.); (J.S.-S.); (F.A.); (E.R.)
- Lipids and Vascular Risk Unit, Internal Medicine, Institut d’Investigació Biomèdica de Bellvitge (IDIBELL), Hospital Universitario de Bellvitge, University of Barcelona, 08028 Barcelona, Spain
| | - Fernando Arós
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain; (J.H.-R.); (K.A.P.-V.); (I.P.-G.); (M.Á.M.-G.); (J.S.-S.); (F.A.); (E.R.)
- Cardiology Department, Organización Sanitaria Integrada Araba (OSI ARABA), University Hospital of Araba, 01009 Gasteiz, Spain
- University of País Vasco/Euskal Herria Unibersitatea (UPV/EHU), 01006 Vitoria-Gasteiz, Spain
| | - Inmaculada Bautista-Castaño
- Institute for Biomedical Research, University of Las Palmas de Gran Canaria, 35001 Las Palmas de Gran Canaria, Spain;
| | - Dora Romaguera
- Research Group in Nutritional Epidemiology and Cardiovascular Pathophysiology, Instituto de Investigación Sanitaria Illes Balears (IdISBa), 07120 Palma de Mallorca, Spain
| | - José Lapetra
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain; (J.H.-R.); (K.A.P.-V.); (I.P.-G.); (M.Á.M.-G.); (J.S.-S.); (F.A.); (E.R.)
- Department of Family Medicine, Research Unity, Distrito Sanitario Atención Primaria Sevilla, 41013 Seville, Spain
| | - Emilio Ros
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain; (J.H.-R.); (K.A.P.-V.); (I.P.-G.); (M.Á.M.-G.); (J.S.-S.); (F.A.); (E.R.)
- Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Hospital Clínic, 46010 Barcelona, Spain
| | - Raquel Cueto-Galán
- Preventive Medicine and Public Health Department, School of Medicine, University of Malaga, Spain, Biomedical Research Institute of Malaga (IBIMA), 29071 Malaga, Spain;
| | - Montserrat Fitó
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain; (J.H.-R.); (K.A.P.-V.); (I.P.-G.); (M.Á.M.-G.); (J.S.-S.); (F.A.); (E.R.)
- Unit of Cardiovascular Risk and Nutrition, Hospital del Mar Medical Research Institute, 08024 Barcelona, Spain (O.C.)
| | - Olga Castañer
- Unit of Cardiovascular Risk and Nutrition, Hospital del Mar Medical Research Institute, 08024 Barcelona, Spain (O.C.)
- CIBER de Epidemiología y Salud Pública, Instituto de Salud Carlos III, 28029 Madrid, Spain
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Li X, Han G, Zhao J, Huang X, Feng Y, Huang J, Lan X, Huang X, Wang Z, Shen J, He S, Li Q, Song J, Wang J, Meng L. Intestinal flora induces depression by mediating the dysregulation of cerebral cortex gene expression and regulating the metabolism of stroke patients. Front Mol Biosci 2022; 9:865788. [PMID: 36533076 PMCID: PMC9748625 DOI: 10.3389/fmolb.2022.865788] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Accepted: 11/08/2022] [Indexed: 10/27/2023] Open
Abstract
Post-stroke depression (PSD) is a common cerebrovascular complication characterized by complex pathogenesis and poor treatment effects. Here, we tested the influence of differentially expressed genes (DEGs), non-targeted metabolites, and intestinal microbes on the occurrence and development of PSD. We acquired gene expression profiles for stroke patients, depression patients, and healthy controls from the Gene Expression Omnibus database. After screening for DEGs using differential expression analysis, we identified common DEGs in stroke and depression patients that were considered to form the molecular basis of PSD. Functional enrichment analysis of DEGs also revealed that the majority of biological functions were closely related to metabolism, immunity, the nervous system, and microorganisms, and we also collected blood and stool samples from healthy controls, stroke patients, and PSD patients and performed 16S rDNA sequencing and untargeted metabolomics. After evaluating the quality of the sequencing data, we compared the diversity of the metabolites and intestinal flora within and between groups. Metabolic pathway enrichment analysis was used to identify metabolic pathways that were significantly involved in stroke and PSD, and a global metabolic network was constructed to explore the pathogenesis of PSD. Additionally, we constructed a global regulatory network based on 16S rDNA sequencing, non-targeted metabolomics, and transcriptomics to explore the pathogenesis of PSD through correlation analysis. Our results suggest that intestinal flora associates the dysregulation of cerebral cortex gene expression and could potentially promote the occurrence of depression by affecting the metabolism of stroke patients. Our findings may be helpful in identifying new targets for the prevention and treatment of PSD.
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Affiliation(s)
- Xuebin Li
- Center for Systemic Inflammation Research (CSIR), School of Preclinical Medicine, Youjiang Medical University for Nationalities, Baise, Guangxi, China
- Department of Neurology, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, Guangxi, China
| | - Guangshun Han
- Department of Neurology, Liuzhou People’s Hospital, Liuzhou, Guangxi, China
| | - Jingjie Zhao
- Life Science and Clinical Research Center, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, Guangxi, China
| | - Xiaohua Huang
- Department of Neurology, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, Guangxi, China
| | - Yun Feng
- Department of Neurology, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, Guangxi, China
| | - Junfang Huang
- Department of Neurology, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, Guangxi, China
| | - Xuequn Lan
- Department of Neurology, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, Guangxi, China
| | - Xiaorui Huang
- Department of Neurology, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, Guangxi, China
| | - Zechen Wang
- Center for Systemic Inflammation Research (CSIR), School of Preclinical Medicine, Youjiang Medical University for Nationalities, Baise, Guangxi, China
| | - Jiajia Shen
- Center for Systemic Inflammation Research (CSIR), School of Preclinical Medicine, Youjiang Medical University for Nationalities, Baise, Guangxi, China
| | - Siyuan He
- Center for Systemic Inflammation Research (CSIR), School of Preclinical Medicine, Youjiang Medical University for Nationalities, Baise, Guangxi, China
| | - Qiuhao Li
- Center for Systemic Inflammation Research (CSIR), School of Preclinical Medicine, Youjiang Medical University for Nationalities, Baise, Guangxi, China
| | - Jian Song
- Center for Systemic Inflammation Research (CSIR), School of Preclinical Medicine, Youjiang Medical University for Nationalities, Baise, Guangxi, China
- Institute of Cardiovascular Sciences, Guangxi Academy of Medical Sciences, Nanning, Guangxi, China
| | - Jie Wang
- Center for Systemic Inflammation Research (CSIR), School of Preclinical Medicine, Youjiang Medical University for Nationalities, Baise, Guangxi, China
- Department of Renal Diseases, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, Guangxi, China
| | - Lingzhang Meng
- Center for Systemic Inflammation Research (CSIR), School of Preclinical Medicine, Youjiang Medical University for Nationalities, Baise, Guangxi, China
- Institute of Cardiovascular Sciences, Guangxi Academy of Medical Sciences, Nanning, Guangxi, China
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He YJ, Cong L, Liang SL, Ma X, Tian JN, Li H, Wu Y. Discovery and validation of Ferroptosis-related molecular patterns and immune characteristics in Alzheimer's disease. Front Aging Neurosci 2022; 14:1056312. [PMID: 36506471 PMCID: PMC9727409 DOI: 10.3389/fnagi.2022.1056312] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Accepted: 11/04/2022] [Indexed: 11/24/2022] Open
Abstract
Background To date, the pathogenesis of Alzheimer's disease is still not fully elucidated. Much evidence suggests that Ferroptosis plays a crucial role in the pathogenesis of AD, but little is known about its molecular immunological mechanisms. Therefore, this study aims to comprehensively analyse and explore the molecular mechanisms and immunological features of Ferroptosis-related genes in the pathogenesis of AD. Materials and methods We obtained the brain tissue dataset for AD from the GEO database and downloaded the Ferroptosis-related gene set from FerrDb for analysis. The most relevant Hub genes for AD were obtained using two machine learning algorithms (Least absolute shrinkage and selection operator (LASSO) and multiple support vector machine recursive feature elimination (mSVM-RFE)). The study of the Hub gene was divided into two parts. In the first part, AD patients were genotyped by unsupervised cluster analysis, and the different clusters' immune characteristics were analysed. A PCA approach was used to quantify the FRGscore. In the second part: we elucidate the biological functions involved in the Hub genes and their role in the immune microenvironment by integrating algorithms (GSEA, GSVA and CIBERSORT). Analysis of Hub gene-based drug regulatory networks and mRNA-miRNA-lncRNA regulatory networks using Cytoscape. Hub genes were further analysed using logistic regression models. Results Based on two machine learning algorithms, we obtained a total of 10 Hub genes. Unsupervised clustering successfully identified two different clusters, and immune infiltration analysis showed a significantly higher degree of immune infiltration in type A than in type B, indicating that type A may be at the peak of AD neuroinflammation. Secondly, a Hub gene-based Gene-Drug regulatory network and a ceRNA regulatory network were successfully constructed. Finally, a logistic regression algorithm-based AD diagnosis model and Nomogram diagram were developed. Conclusion Our study provides new insights into the role of Ferroptosis-related molecular patterns and immune mechanisms in AD, as well as providing a theoretical basis for the addition of diagnostic markers for AD.
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Affiliation(s)
| | | | | | | | | | | | - Yun Wu
- Department of Neurology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
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Li TR, Yang Q, Hu X, Han Y. Biomarkers and Tools for Predicting Alzheimer's Disease in the Preclinical Stage. Curr Neuropharmacol 2022; 20:713-737. [PMID: 34030620 PMCID: PMC9878962 DOI: 10.2174/1570159x19666210524153901] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2021] [Revised: 04/27/2021] [Accepted: 05/08/2021] [Indexed: 11/22/2022] Open
Abstract
Alzheimer's disease (AD) is the only leading cause of death for which no disease-modifying therapy is currently available. Over the past decade, a string of disappointing clinical trial results has forced us to shift our focus to the preclinical stage of AD, which represents the most promising therapeutic window. However, the accurate diagnosis of preclinical AD requires the presence of brain β- amyloid deposition determined by cerebrospinal fluid or amyloid-positron emission tomography, significantly limiting routine screening and diagnosis in non-tertiary hospital settings. Thus, an easily accessible marker or tool with high sensitivity and specificity is highly needed. Recently, it has been discovered that individuals in the late stage of preclinical AD may not be truly "asymptomatic" in that they may have already developed subtle or subjective cognitive decline. In addition, advances in bloodderived biomarker studies have also allowed the detection of pathologic changes in preclinical AD. Exosomes, as cell-to-cell communication messengers, can reflect the functional changes of their source cell. Methodological advances have made it possible to extract brain-derived exosomes from peripheral blood, making exosomes an emerging biomarker carrier and liquid biopsy tool for preclinical AD. The eye and its associated structures have rich sensory-motor innervation. In this regard, studies have indicated that they may also provide reliable markers. Here, our report covers the current state of knowledge of neuropsychological and eye tests as screening tools for preclinical AD and assesses the value of blood and brain-derived exosomes as carriers of biomarkers in conjunction with the current diagnostic paradigm.
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Affiliation(s)
- Tao-Ran Li
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, 100053, China
| | - Qin Yang
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, 100053, China
| | - Xiaochen Hu
- Department of Psychiatry, University of Cologne, Medical Faculty, Cologne, 50924, Germany
| | - Ying Han
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, 100053, China;,Center of Alzheimer’s Disease, Beijing Institute for Brain Disorders, Beijing, 100053, China;,National Clinical Research Center for Geriatric Disorders, Beijing, 100053, China;,School of Biomedical Engineering, Hainan University, Haikou, 570228, China;,Address correspondence to this author at the Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, 100053, China; Tel: +86 13621011941; E-mail:
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Roberts JA, Varma VR, An Y, Varma S, Candia J, Fantoni G, Tiwari V, Anerillas C, Williamson A, Saito A, Loeffler T, Schilcher I, Moaddel R, Khadeer M, Lovett J, Tanaka T, Pletnikova O, Troncoso JC, Bennett DA, Albert MS, Yu K, Niu M, Haroutunian V, Zhang B, Peng J, Croteau DL, Resnick SM, Gorospe M, Bohr VA, Ferrucci L, Thambisetty M. A brain proteomic signature of incipient Alzheimer's disease in young APOE ε4 carriers identifies novel drug targets. SCIENCE ADVANCES 2021; 7:eabi8178. [PMID: 34757788 PMCID: PMC8580310 DOI: 10.1126/sciadv.abi8178] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Accepted: 09/14/2021] [Indexed: 05/13/2023]
Abstract
Aptamer-based proteomics revealed differentially abundant proteins in Alzheimer’s disease (AD) brains in the Baltimore Longitudinal Study of Aging and Religious Orders Study (mean age, 89 ± 9 years). A subset of these proteins was also differentially abundant in the brains of young APOE ε4 carriers relative to noncarriers (mean age, 39 ± 6 years). Several of these proteins represent targets of approved and experimental drugs for other indications and were validated using orthogonal methods in independent human brain tissue samples as well as in transgenic AD models. Using cell culture–based phenotypic assays, we showed that drugs targeting the cytokine transducer STAT3 and the Src family tyrosine kinases, YES1 and FYN, rescued molecular phenotypes relevant to AD pathogenesis. Our findings may accelerate the development of effective interventions targeting the earliest molecular triggers of AD.
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Affiliation(s)
- Jackson A. Roberts
- Clinical and Translational Neuroscience Section, Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD 21224, USA
- Columbia University Vagelos College of Physicians and Surgeons, New York, NY 10032
| | - Vijay R. Varma
- Clinical and Translational Neuroscience Section, Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD 21224, USA
| | - Yang An
- Brain Aging and Behavior Section, Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD 21224, USA
| | | | - Julián Candia
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
- Longitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, MD 21224, USA
| | - Giovanna Fantoni
- Clinical Research Core, National Institute on Aging, National Institutes of Health, Baltimore, MD 21224, USA
| | - Vinod Tiwari
- Section on DNA Repair, National Institute on Aging, Intramural Research Program, National Institutes of Health, Baltimore, MD 21224, USA
| | - Carlos Anerillas
- Laboratory of Genetics and Genomics, National Institute on Aging, National Institutes of Health, Baltimore, MD 21224, USA
| | - Andrew Williamson
- Clinical and Translational Neuroscience Section, Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD 21224, USA
| | - Atsushi Saito
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Tina Loeffler
- QPS Austria GmbH, Parkring 12, 8074 Grambach, Austria
| | | | - Ruin Moaddel
- Laboratory of Clinical Investigation, National Institute on Aging, National Institutes of Health, Baltimore, MD 21224, USA
| | - Mohammed Khadeer
- Laboratory of Clinical Investigation, National Institute on Aging, National Institutes of Health, Baltimore, MD 21224, USA
| | - Jacqueline Lovett
- Laboratory of Clinical Investigation, National Institute on Aging, National Institutes of Health, Baltimore, MD 21224, USA
| | - Toshiko Tanaka
- Longitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, MD 21224, USA
| | - Olga Pletnikova
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
- Department of Pathology and Anatomical Sciences, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY 14203, USA
| | - Juan C. Troncoso
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - David A. Bennett
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL 60612, USA
| | - Marilyn S. Albert
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Kaiwen Yu
- Departments of Structural Biology and Developmental Neurobiology, Center for Proteomics and Metabolomics, St. Jude Children’s Research Hospital, Memphis, TN 38105, USA
| | - Mingming Niu
- Departments of Structural Biology and Developmental Neurobiology, Center for Proteomics and Metabolomics, St. Jude Children’s Research Hospital, Memphis, TN 38105, USA
| | - Vahram Haroutunian
- Departments of Psychiatry and Neuroscience, The Alzheimer’s Disease Research Center, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Mental Illness Research, Education and Clinical Center (MIRECC), James J. Peters VA Medical Center, Bronx, NY 10468, USA
| | - Bin Zhang
- Department of Genetics and Genomic Sciences and Department of Pharmacological Sciences, Mount Sinai Center for Transformative Disease Modeling, Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Junmin Peng
- Departments of Structural Biology and Developmental Neurobiology, Center for Proteomics and Metabolomics, St. Jude Children’s Research Hospital, Memphis, TN 38105, USA
| | - Deborah L. Croteau
- Section on DNA Repair, National Institute on Aging, Intramural Research Program, National Institutes of Health, Baltimore, MD 21224, USA
| | - Susan M. Resnick
- Brain Aging and Behavior Section, Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD 21224, USA
| | - Myriam Gorospe
- Laboratory of Genetics and Genomics, National Institute on Aging, National Institutes of Health, Baltimore, MD 21224, USA
| | - Vilhelm A. Bohr
- Section on DNA Repair, National Institute on Aging, Intramural Research Program, National Institutes of Health, Baltimore, MD 21224, USA
| | - Luigi Ferrucci
- Longitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, MD 21224, USA
| | - Madhav Thambisetty
- Clinical and Translational Neuroscience Section, Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD 21224, USA
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Guo X, Lie Q, Liu Y, Jia Z, Gong Y, Yuan X, Liu J. Multifunctional Selenium Quantum Dots for the Treatment of Alzheimer's Disease by Reducing Aβ-Neurotoxicity and Oxidative Stress and Alleviate Neuroinflammation. ACS APPLIED MATERIALS & INTERFACES 2021; 13:30261-30273. [PMID: 34169710 DOI: 10.1021/acsami.1c00690] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/28/2023]
Abstract
At present, the complex pathogenesis, the difficult-to-overcome blood-brain barrier (BBB), the development of the disease course which cannot be prevented, and other problems are serious challenges in the treatment of Alzheimer's disease (AD). In order to enhance the therapeutic effect of drugs through BBB, we synthesized simple and easy-to-obtain selenium quantum dots (SeQDs), with a multitarget therapeutic effect. This new type of SeQDs has an ultrasmall size and can quickly penetrate the BBB. According to the fluorescence characteristics of SeQDs, we can diagnose and track AD. The experimental results show that SeQDs have strong free-radical scavenging activity, protect cells from oxidative stress induced by different stimuli, and show broad-spectrum antioxidant activity. The SeQDs can not only effectively inhibit Aβ aggregation and significantly reduce Aβ-mediated cytotoxicity, thus preventing AD cascade reaction, but also effectively reduce tau protein phosphorylation by down-regulating PHF1 and CP13 and further reduce oxidative stress, restore mitochondrial functions, and maintain nerve cell stability and protect nerve cells from oxidative stress. In vivo studies demonstrate that SeQDs can continuously accumulate in the brain after rapid passage of BBB and can quickly alleviate AD, significantly improve the memory impairment of AD mice, and improve their learning and memory ability. Therefore, the use of SeQDs in the treatment of AD has great advantages compared with traditional single-target drugs and provides a new direction for the combination of prevention and treatment of neurodegenerative diseases.
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Affiliation(s)
- Xian Guo
- College of Chemistry and Materials Science, Jinan University, Guangzhou 510632, China
| | - Qiaoshan Lie
- College of Chemistry and Materials Science, Jinan University, Guangzhou 510632, China
| | - Yanan Liu
- College of Chemistry and Materials Science, Jinan University, Guangzhou 510632, China
- College of Life Sciences and Oceanography, Shenzhen University, Shenzhen 518060, China
| | - Zhi Jia
- College of Chemistry and Materials Science, Jinan University, Guangzhou 510632, China
| | - Youcong Gong
- College of Chemistry and Materials Science, Jinan University, Guangzhou 510632, China
| | - Xiaoyu Yuan
- College of Chemistry and Materials Science, Jinan University, Guangzhou 510632, China
| | - Jie Liu
- College of Chemistry and Materials Science, Jinan University, Guangzhou 510632, China
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7
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Sándor S, Tátrai K, Czeibert K, Egyed B, Kubinyi E. CDKN2A Gene Expression as a Potential Aging Biomarker in Dogs. Front Vet Sci 2021; 8:660435. [PMID: 33981746 PMCID: PMC8107359 DOI: 10.3389/fvets.2021.660435] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2021] [Accepted: 03/18/2021] [Indexed: 12/04/2022] Open
Abstract
Describing evolutionary conserved physiological or molecular patterns, which can reliably mark the age of both model organisms and humans or predict the onset of age-related pathologies has become a priority in aging research. The age-related gene-expression changes of the Cyclin Dependent Kinase Inhibitor 2A (CDKN2A) gene have been well-documented in humans and rodents. However, data is lacking from other relevant species, including dogs. Therefore, we quantified the CDKN2A mRNA abundance in dogs of different ages, in four tissue types: the frontal cortex of the brain, temporal muscle, skin, and blood. We found a significant, positive correlation between CDKN2A relative expression values and age in the brain, muscle, and blood; however, no correlation was detected in the skin. The strongest correlation was detected in the brain tissue (CDKN2A/GAPDH: r = 0.757, p < 0.001), similarly to human findings, while the muscle and blood showed weaker, but significant correlation. Our results suggest that CDKN2A might be a potential blood-borne biomarker of aging in dogs, although the validation and optimization will require further, more focused research. Our current results also clearly demonstrate that the role of CDKN2A in aging is conserved in dogs, regarding both tissue specificity and a pivotal role of CDKN2A in brain aging.
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Affiliation(s)
- Sára Sándor
- Department of Ethology, Senior Family Dog Project, ELTE Eötvös Loránd University, Budapest, Hungary
| | - Kitti Tátrai
- Department of Ethology, Senior Family Dog Project, ELTE Eötvös Loránd University, Budapest, Hungary
- Department of Genetics, ELTE Eötvös Loránd University, Budapest, Hungary
| | - Kálmán Czeibert
- Department of Ethology, Senior Family Dog Project, ELTE Eötvös Loránd University, Budapest, Hungary
| | - Balázs Egyed
- Department of Genetics, ELTE Eötvös Loránd University, Budapest, Hungary
| | - Enikő Kubinyi
- Department of Ethology, Senior Family Dog Project, ELTE Eötvös Loránd University, Budapest, Hungary
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8
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Highet B, Vikas Anekal P, Ryan B, Murray H, Coppieters N, Victor Dieriks B, Singh-Bains MK, Mehrabi NF, Faull RLM, Dragunow M, Curtis MA. fISHing with immunohistochemistry for housekeeping gene changes in Alzheimer's disease using an automated quantitative analysis workflow. J Neurochem 2021; 157:1270-1283. [PMID: 33368239 DOI: 10.1111/jnc.15283] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2020] [Revised: 11/12/2020] [Accepted: 12/21/2020] [Indexed: 12/28/2022]
Abstract
In situ hybridization (ISH) is a powerful tool that can be used to localize mRNA expression in tissue samples. Combining ISH with immunohistochemistry (IHC) to determine cell type provides cellular context of mRNA expression, which cannot be achieved with gene microarray or polymerase chain reaction. To study mRNA and protein expression on the same section we investigated the use of RNAscope® ISH in combination with fluorescent IHC on paraffin-embedded human brain tissue. We first developed a high-throughput, automated image analysis workflow for quantifying RNA puncta across the total cell population and within neurons identified by NeuN+ immunoreactivity. We then applied this automated analysis to tissue microarray (TMA) sections of middle temporal gyrus tissue (MTG) from neurologically normal and Alzheimer's Disease (AD) cases to determine the suitability of three commonly used housekeeping genes: ubiquitin C (UBC), peptidyl-prolyl cis-trans isomerase B (PPIB) and DNA-directed RNA polymerase II subunit RPB1 (POLR2A). Overall, we saw a significant decrease in total and neuronal UBC expression in AD cases compared to normal cases. Total expression results were validated with RT-qPCR using fresh frozen tissue from 5 normal and 5 AD cases. We conclude that this technique combined with our novel automated analysis pipeline provides a suitable platform to study changes in gene expression in diseased human brain tissue with cellular and anatomical context. Furthermore, our results suggest that UBC is not a suitable housekeeping gene in the study of post-mortem AD brain tissue.
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Affiliation(s)
- Blake Highet
- Department of Anatomy and Medical Imaging, Faculty of Medical and Health Science, University of Auckland, Auckland, New Zealand.,Centre for Brain Research, Faculty of Medical and Health Science, University of Auckland, Auckland, New Zealand
| | - Praju Vikas Anekal
- Biomedical Imaging Research Unit, Faculty of Medical and Health Science, University of Auckland, Auckland, New Zealand
| | - Brigid Ryan
- Department of Anatomy and Medical Imaging, Faculty of Medical and Health Science, University of Auckland, Auckland, New Zealand.,Centre for Brain Research, Faculty of Medical and Health Science, University of Auckland, Auckland, New Zealand
| | - Helen Murray
- Department of Anatomy and Medical Imaging, Faculty of Medical and Health Science, University of Auckland, Auckland, New Zealand.,Centre for Brain Research, Faculty of Medical and Health Science, University of Auckland, Auckland, New Zealand
| | - Natacha Coppieters
- Laboratory of Nervous System Disorders and Therapy, GIGA-Neuroscience, University of Liège, Liège, Belgium
| | - Birger Victor Dieriks
- Department of Anatomy and Medical Imaging, Faculty of Medical and Health Science, University of Auckland, Auckland, New Zealand.,Centre for Brain Research, Faculty of Medical and Health Science, University of Auckland, Auckland, New Zealand
| | - Malvindar K Singh-Bains
- Department of Anatomy and Medical Imaging, Faculty of Medical and Health Science, University of Auckland, Auckland, New Zealand.,Centre for Brain Research, Faculty of Medical and Health Science, University of Auckland, Auckland, New Zealand
| | - Nasim F Mehrabi
- Centre for Brain Research, Faculty of Medical and Health Science, University of Auckland, Auckland, New Zealand.,Department of Pharmacology, Faculty of Medical and Health Science, University of Auckland, Auckland, New Zealand
| | - Richard L M Faull
- Department of Anatomy and Medical Imaging, Faculty of Medical and Health Science, University of Auckland, Auckland, New Zealand.,Centre for Brain Research, Faculty of Medical and Health Science, University of Auckland, Auckland, New Zealand
| | - Michael Dragunow
- Centre for Brain Research, Faculty of Medical and Health Science, University of Auckland, Auckland, New Zealand.,Department of Pharmacology, Faculty of Medical and Health Science, University of Auckland, Auckland, New Zealand
| | - Maurice A Curtis
- Department of Anatomy and Medical Imaging, Faculty of Medical and Health Science, University of Auckland, Auckland, New Zealand.,Centre for Brain Research, Faculty of Medical and Health Science, University of Auckland, Auckland, New Zealand
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9
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Network-based identification of genetic factors in ageing, lifestyle and type 2 diabetes that influence to the progression of Alzheimer's disease. INFORMATICS IN MEDICINE UNLOCKED 2020. [DOI: 10.1016/j.imu.2020.100309] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
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10
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Xicota L, Ichou F, Lejeune FX, Colsch B, Tenenhaus A, Leroy I, Fontaine G, Lhomme M, Bertin H, Habert MO, Epelbaum S, Dubois B, Mochel F, Potier MC. Multi-omics signature of brain amyloid deposition in asymptomatic individuals at-risk for Alzheimer's disease: The INSIGHT-preAD study. EBioMedicine 2019; 47:518-528. [PMID: 31492558 PMCID: PMC6796577 DOI: 10.1016/j.ebiom.2019.08.051] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2019] [Revised: 08/23/2019] [Accepted: 08/23/2019] [Indexed: 01/21/2023] Open
Abstract
BACKGROUND One of the biggest challenge in Alzheimer's disease (AD) is to identify pathways and markers of disease prediction easily accessible, for prevention and treatment. Here we analysed blood samples from the INveStIGation of AlzHeimer's predicTors (INSIGHT-preAD) cohort of elderly asymptomatic individuals with and without brain amyloid load. METHODS We performed blood RNAseq, and plasma metabolomics and lipidomics using liquid chromatography-mass spectrometry on 48 individuals amyloid positive and 48 amyloid negative (SUVr cut-off of 0·7918). The three data sets were analysed separately using differential gene expression based on negative binomial distribution, non-parametric (Wilcoxon) and parametric (correlation-adjusted Student't) tests. Data integration was conducted using sparse partial least squares-discriminant and principal component analyses. Bootstrap-selected top-ten features from the three data sets were tested for their discriminant power using Receiver Operating Characteristic curve. Longitudinal metabolomic analysis was carried out on a subset of 22 subjects. FINDINGS Univariate analyses identified three medium chain fatty acids, 4-nitrophenol and a set of 64 transcripts enriched for inflammation and fatty acid metabolism differentially quantified in amyloid positive and negative subjects. Importantly, the amounts of the three medium chain fatty acids were correlated over time in a subset of 22 subjects (p < 0·05). Multi-omics integrative analyses showed that metabolites efficiently discriminated between subjects according to their amyloid status while lipids did not and transcripts showed trends. Finally, the ten top metabolites and transcripts represented the most discriminant omics features with 99·4% chance prediction for amyloid positivity. INTERPRETATION This study suggests a potential blood omics signature for prediction of amyloid positivity in asymptomatic at-risk subjects, allowing for a less invasive, more accessible, and less expensive risk assessment of AD as compared to PET studies or lumbar puncture. FUND: Institut Hospitalo-Universitaire and Institut du Cerveau et de la Moelle Epiniere (IHU-A-ICM), French Ministry of Research, Fondation Alzheimer, Pfizer, and Avid.
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Affiliation(s)
- Laura Xicota
- ICM Institut du Cerveau et de la Moelle épinière, CNRS UMR7225, INSERM U1127, UPMC, Hôpital de la Pitié-Salpêtrière, 47 Bd de l'Hôpital, Paris, France
| | - Farid Ichou
- ICANalytcis Platforms, Institute of Cardiometabolism and Nutrition ICAN, Paris, France
| | - François-Xavier Lejeune
- ICM Institut du Cerveau et de la Moelle épinière, CNRS UMR7225, INSERM U1127, UPMC, Hôpital de la Pitié-Salpêtrière, 47 Bd de l'Hôpital, Paris, France
| | - Benoit Colsch
- Service de Pharmacologie et Immunoanalyse (SPI), CEA, INRA, Université Paris-Saclay, MetaboHUB, Gif-sur-Yvette, France
| | - Arthur Tenenhaus
- Laboratoire des Signaux et Systèmes, CentraleSupélec, Université Paris-Saclay, Gif sur Yvette, France
| | - Inka Leroy
- ICM Institut du Cerveau et de la Moelle épinière, CNRS UMR7225, INSERM U1127, UPMC, Hôpital de la Pitié-Salpêtrière, 47 Bd de l'Hôpital, Paris, France
| | - Gaëlle Fontaine
- ICM Institut du Cerveau et de la Moelle épinière, CNRS UMR7225, INSERM U1127, UPMC, Hôpital de la Pitié-Salpêtrière, 47 Bd de l'Hôpital, Paris, France
| | - Marie Lhomme
- ICANalytcis Platforms, Institute of Cardiometabolism and Nutrition ICAN, Paris, France
| | - Hugo Bertin
- Centre Acquisition et Traitement des Images, Paris, France
| | - Marie-Odile Habert
- Laboratoire d'Imagerie Biomédicale, Nuclear Medicine Department, Sorbonne Université, Hôpital de la Salpêtrière, Paris, France
| | - Stéphane Epelbaum
- ICM Institut du Cerveau et de la Moelle épinière, CNRS UMR7225, INSERM U1127, UPMC, Hôpital de la Pitié-Salpêtrière, 47 Bd de l'Hôpital, Paris, France; Centre des Maladies Cognitives et Comportementales, Sorbonne Université, Hôpital de la Salpêtrière, Paris, France; Inria, Aramis-Project Team, Paris, France
| | - Bruno Dubois
- Centre des Maladies Cognitives et Comportementales, Sorbonne Université, Hôpital de la Salpêtrière, Paris, France
| | - Fanny Mochel
- ICM Institut du Cerveau et de la Moelle épinière, CNRS UMR7225, INSERM U1127, UPMC, Hôpital de la Pitié-Salpêtrière, 47 Bd de l'Hôpital, Paris, France.
| | - Marie-Claude Potier
- ICM Institut du Cerveau et de la Moelle épinière, CNRS UMR7225, INSERM U1127, UPMC, Hôpital de la Pitié-Salpêtrière, 47 Bd de l'Hôpital, Paris, France.
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11
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Wei TY, Fu Y, Chang KH, Lin KJ, Lu YJ, Cheng CM. Point-of-Care Devices Using Disease Biomarkers To Diagnose Neurodegenerative Disorders. Trends Biotechnol 2017; 36:290-303. [PMID: 29242004 DOI: 10.1016/j.tibtech.2017.11.004] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2017] [Revised: 11/16/2017] [Accepted: 11/17/2017] [Indexed: 12/16/2022]
Abstract
Neurodegenerative disorders such as Alzheimer's, Parkinson's, and Huntington's diseases are highly prevalent and immensely destructive to the health and well-being of individuals and their families across the globe. Neurodegenerative diseases are characterized by the gradual loss of neural tissue in the central nervous system. Clearly, early diagnosis of the onset of neurodegeneration is vital and beneficial. Current diagnostic methods rely heavily on symptoms or autopsy results, thus overlooking early diagnosis, the only opportunity for amelioration. However, appropriately selected and used biomarker diagnostics provide a solution. This article reviews the development and application of biomarker-related diagnostics for neurodegenerative disease with specific recommendations for point-of-care (POC) methodology. These advantageous approaches may offer a solution to existing obstacles and limitations to neurodegenerative disease treatment.
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Affiliation(s)
- Ting-Yen Wei
- Interdisciplinary Program of Life Science, National Tsing Hua University, Hsinchu 30013, Taiwan; These authors contributed equally
| | - Yun Fu
- Department of Dermatology, Chang Gung Memorial Hospital Linkou Medical Center, Taoyuan 33305, Taiwan; These authors contributed equally
| | - Kuo-Hsuan Chang
- Department of Neurology, Chang Gung Memorial Hospital Linkou Medical Center and College of Medicine, Chang Gung University, Taoyuan 33305, Taiwan
| | - Kun-Ju Lin
- Animal Molecular Imaging Center and Department of Nuclear Medicine, Chang Gung Memorial Hospital Linkou Medical Center, Taoyuan 33305, Taiwan
| | - Yu-Jen Lu
- Department of Neurosurgery, Chang Gung Memorial Hospital Linkou Medical Center and College of Medicine, Chang Gung University, Taoyuan 33305, Taiwan.
| | - Chao-Min Cheng
- Institute of Biomedical Engineering, National Tsing Hua University, Hsinchu 30013, Taiwan.
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12
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Gómez-Sintes R, Villarejo-Zori B, Serrano-Puebla A, Esteban-Martínez L, Sierra-Filardi E, Ramírez-Pardo I, Rodríguez-Muela N, Boya P. Standard Assays for the Study of Autophagy in the Ex Vivo Retina. Cells 2017; 6:cells6040037. [PMID: 29065501 PMCID: PMC5755496 DOI: 10.3390/cells6040037] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2017] [Revised: 10/17/2017] [Accepted: 10/17/2017] [Indexed: 01/10/2023] Open
Abstract
Autophagy is a catabolic pathway that mediates the degradation and recycling of intracellular components, and is a key player in a variety of physiological processes in cells and tissues. Recent studies of autophagy in the eye suggest that this pathway is fundamental for the preservation of retinal homeostasis. Given its accessible location outside the brain, the retina is an ideal organ in which to study the central nervous system and a wide range of neuronal processes, from development to neurodegeneration. Here we review several methods used to assess autophagy in the retina in both physiological and pathological conditions.
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Affiliation(s)
- Raquel Gómez-Sintes
- Departament of Cellular and Molecular Biology, Centro de Investigaciones Biológicas, CSIC, 28040 Madrid, Spain.
| | - Beatriz Villarejo-Zori
- Departament of Cellular and Molecular Biology, Centro de Investigaciones Biológicas, CSIC, 28040 Madrid, Spain.
| | - Ana Serrano-Puebla
- Departament of Cellular and Molecular Biology, Centro de Investigaciones Biológicas, CSIC, 28040 Madrid, Spain.
| | - Lorena Esteban-Martínez
- Departament of Cellular and Molecular Biology, Centro de Investigaciones Biológicas, CSIC, 28040 Madrid, Spain.
| | - Elena Sierra-Filardi
- Departament of Cellular and Molecular Biology, Centro de Investigaciones Biológicas, CSIC, 28040 Madrid, Spain.
| | - Ignacio Ramírez-Pardo
- Departament of Cellular and Molecular Biology, Centro de Investigaciones Biológicas, CSIC, 28040 Madrid, Spain.
| | - Natalia Rodríguez-Muela
- Departament of Cellular and Molecular Biology, Centro de Investigaciones Biológicas, CSIC, 28040 Madrid, Spain.
| | - Patricia Boya
- Departament of Cellular and Molecular Biology, Centro de Investigaciones Biológicas, CSIC, 28040 Madrid, Spain.
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