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Kaštelan S, Nikuševa-Martić T, Pašalić D, Antunica AG, Zimak DM. Genetic and Epigenetic Biomarkers Linking Alzheimer's Disease and Age-Related Macular Degeneration. Int J Mol Sci 2024; 25:7271. [PMID: 39000382 PMCID: PMC11242094 DOI: 10.3390/ijms25137271] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2024] [Revised: 06/26/2024] [Accepted: 06/29/2024] [Indexed: 07/16/2024] Open
Abstract
Alzheimer's disease (AD) represents a prominent neurodegenerative disorder (NDD), accounting for the majority of dementia cases worldwide. In addition to memory deficits, individuals with AD also experience alterations in the visual system. As the retina is an extension of the central nervous system (CNS), the loss in retinal ganglion cells manifests clinically as decreased visual acuity, narrowed visual field, and reduced contrast sensitivity. Among the extensively studied retinal disorders, age-related macular degeneration (AMD) shares numerous aging processes and risk factors with NDDs such as cognitive impairment that occurs in AD. Histopathological investigations have revealed similarities in pathological deposits found in the retina and brain of patients with AD and AMD. Cellular aging processes demonstrate similar associations with organelles and signaling pathways in retinal and brain tissues. Despite these similarities, there are distinct genetic backgrounds underlying these diseases. This review comprehensively explores the genetic similarities and differences between AMD and AD. The purpose of this review is to discuss the parallels and differences between AMD and AD in terms of pathophysiology, genetics, and epigenetics.
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Affiliation(s)
- Snježana Kaštelan
- Department of Ophthalmology, Clinical Hospital Dubrava, School of Medicine, University of Zagreb, 10000 Zagreb, Croatia
| | - Tamara Nikuševa-Martić
- Department of Biology and Genetics, School of Medicine, University of Zagreb, 10000 Zagreb, Croatia;
| | - Daria Pašalić
- Department of Medical Chemistry, Biochemistry and Clinical Chemistry, School of Medicine, University of Zagreb, 10000 Zagreb, Croatia
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Singh MK, Shin Y, Ju S, Han S, Kim SS, Kang I. Comprehensive Overview of Alzheimer's Disease: Etiological Insights and Degradation Strategies. Int J Mol Sci 2024; 25:6901. [PMID: 39000011 PMCID: PMC11241648 DOI: 10.3390/ijms25136901] [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: 05/21/2024] [Revised: 06/19/2024] [Accepted: 06/21/2024] [Indexed: 07/14/2024] Open
Abstract
Alzheimer's disease (AD) is the most prevalent neurodegenerative disorder and affects millions of individuals globally. AD is associated with cognitive decline and memory loss that worsens with aging. A statistical report using U.S. data on AD estimates that approximately 6.9 million individuals suffer from AD, a number projected to surge to 13.8 million by 2060. Thus, there is a critical imperative to pinpoint and address AD and its hallmark tau protein aggregation early to prevent and manage its debilitating effects. Amyloid-β and tau proteins are primarily associated with the formation of plaques and neurofibril tangles in the brain. Current research efforts focus on degrading amyloid-β and tau or inhibiting their synthesis, particularly targeting APP processing and tau hyperphosphorylation, aiming to develop effective clinical interventions. However, navigating this intricate landscape requires ongoing studies and clinical trials to develop treatments that truly make a difference. Genome-wide association studies (GWASs) across various cohorts identified 40 loci and over 300 genes associated with AD. Despite this wealth of genetic data, much remains to be understood about the functions of these genes and their role in the disease process, prompting continued investigation. By delving deeper into these genetic associations, novel targets such as kinases, proteases, cytokines, and degradation pathways, offer new directions for drug discovery and therapeutic intervention in AD. This review delves into the intricate biological pathways disrupted in AD and identifies how genetic variations within these pathways could serve as potential targets for drug discovery and treatment strategies. Through a comprehensive understanding of the molecular underpinnings of AD, researchers aim to pave the way for more effective therapies that can alleviate the burden of this devastating disease.
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Affiliation(s)
- Manish Kumar Singh
- Department of Biochemistry and Molecular Biology, School of Medicine, Kyung Hee University, Seoul 02447, Republic of Korea
- Biomedical Science Institute, Kyung Hee University, Seoul 02447, Republic of Korea
| | - Yoonhwa Shin
- Department of Biochemistry and Molecular Biology, School of Medicine, Kyung Hee University, Seoul 02447, Republic of Korea
- Biomedical Science Institute, Kyung Hee University, Seoul 02447, Republic of Korea
| | - Songhyun Ju
- Department of Biochemistry and Molecular Biology, School of Medicine, Kyung Hee University, Seoul 02447, Republic of Korea
- Biomedical Science Institute, Kyung Hee University, Seoul 02447, Republic of Korea
- Department of Biomedical Science, Graduate School, Kyung Hee University, Seoul 02447, Republic of Korea
| | - Sunhee Han
- Department of Biochemistry and Molecular Biology, School of Medicine, Kyung Hee University, Seoul 02447, Republic of Korea
- Biomedical Science Institute, Kyung Hee University, Seoul 02447, Republic of Korea
- Department of Biomedical Science, Graduate School, Kyung Hee University, Seoul 02447, Republic of Korea
| | - Sung Soo Kim
- Department of Biochemistry and Molecular Biology, School of Medicine, Kyung Hee University, Seoul 02447, Republic of Korea
- Biomedical Science Institute, Kyung Hee University, Seoul 02447, Republic of Korea
- Department of Biomedical Science, Graduate School, Kyung Hee University, Seoul 02447, Republic of Korea
| | - Insug Kang
- Department of Biochemistry and Molecular Biology, School of Medicine, Kyung Hee University, Seoul 02447, Republic of Korea
- Biomedical Science Institute, Kyung Hee University, Seoul 02447, Republic of Korea
- Department of Biomedical Science, Graduate School, Kyung Hee University, Seoul 02447, Republic of Korea
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Mohammad T, Zolotovskaia MA, Suntsova MV, Buzdin AA. Cancer fusion transcripts with human non-coding RNAs. Front Oncol 2024; 14:1415801. [PMID: 38919532 PMCID: PMC11196610 DOI: 10.3389/fonc.2024.1415801] [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: 04/11/2024] [Accepted: 05/27/2024] [Indexed: 06/27/2024] Open
Abstract
Cancer chimeric, or fusion, transcripts are thought to most frequently appear due to chromosomal aberrations that combine moieties of unrelated normal genes. When being expressed, this results in chimeric RNAs having upstream and downstream parts relatively to the breakpoint position for the 5'- and 3'-fusion components, respectively. As many other types of cancer mutations, fusion genes can be of either driver or passenger type. The driver fusions may have pivotal roles in malignisation by regulating survival, growth, and proliferation of tumor cells, whereas the passenger fusions most likely have no specific function in cancer. The majority of research on fusion gene formation events is concentrated on identifying fusion proteins through chimeric transcripts. However, contemporary studies evidence that fusion events involving non-coding RNA (ncRNA) genes may also have strong oncogenic potential. In this review we highlight most frequent classes of ncRNAs fusions and summarize current understanding of their functional roles. In many cases, cancer ncRNA fusion can result in altered concentration of the non-coding RNA itself, or it can promote protein expression from the protein-coding fusion moiety. Differential splicing, in turn, can enrich the repertoire of cancer chimeric transcripts, e.g. as observed for the fusions of circular RNAs and long non-coding RNAs. These and other ncRNA fusions are being increasingly recognized as cancer biomarkers and even potential therapeutic targets. Finally, we discuss the use of ncRNA fusion genes in the context of cancer detection and therapy.
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Affiliation(s)
- Tharaa Mohammad
- Laboratory for Translational and Genomic Bioinformatics, Moscow Center for Advanced Studies, Moscow, Russia
- Department of Molecular Genetic Technologies, Laboratory of Bioinformatics, Endocrinology Research Center, Moscow, Russia
| | - Marianna A. Zolotovskaia
- Laboratory for Translational and Genomic Bioinformatics, Moscow Center for Advanced Studies, Moscow, Russia
- Department of Molecular Genetic Technologies, Laboratory of Bioinformatics, Endocrinology Research Center, Moscow, Russia
- I.M. Sechenov First Moscow State Medical University, Moscow, Russia
| | | | - Anton A. Buzdin
- Laboratory for Translational and Genomic Bioinformatics, Moscow Center for Advanced Studies, Moscow, Russia
- Department of Molecular Genetic Technologies, Laboratory of Bioinformatics, Endocrinology Research Center, Moscow, Russia
- I.M. Sechenov First Moscow State Medical University, Moscow, Russia
- PathoBiology Group, European Organization for Research and Treatment of Cancer (EORTC), Brussels, Belgium
- Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Moscow, Russia
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Meshref M, Ghaith HS, Hammad MA, Shalaby MMM, Ayasra F, Monib FA, Attia MS, Ebada MA, Elsayed H, Shalash A, Bahbah EI. The Role of RIN3 Gene in Alzheimer's Disease Pathogenesis: a Comprehensive Review. Mol Neurobiol 2024; 61:3528-3544. [PMID: 37995081 PMCID: PMC11087354 DOI: 10.1007/s12035-023-03802-0] [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: 09/08/2023] [Accepted: 11/10/2023] [Indexed: 11/24/2023]
Abstract
Alzheimer's disease (AD) is a globally prevalent form of dementia that impacts diverse populations and is characterized by progressive neurodegeneration and impairments in executive memory. Although the exact mechanisms underlying AD pathogenesis remain unclear, it is commonly accepted that the aggregation of misfolded proteins, such as amyloid plaques and neurofibrillary tau tangles, plays a critical role. Additionally, AD is a multifactorial condition influenced by various genetic factors and can manifest as either early-onset AD (EOAD) or late-onset AD (LOAD), each associated with specific gene variants. One gene of particular interest in both EOAD and LOAD is RIN3, a guanine nucleotide exchange factor. This gene plays a multifaceted role in AD pathogenesis. Firstly, upregulation of RIN3 can result in endosomal enlargement and dysfunction, thereby facilitating the accumulation of beta-amyloid (Aβ) peptides in the brain. Secondly, RIN3 has been shown to impact the PICLAM pathway, affecting transcytosis across the blood-brain barrier. Lastly, RIN3 has implications for immune-mediated responses, notably through its influence on the PTK2B gene. This review aims to provide a concise overview of AD and delve into the role of the RIN3 gene in its pathogenesis.
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Affiliation(s)
- Mostafa Meshref
- Department of Neurology, Faculty of Medicine, Al-Azhar University, Cairo, Egypt
| | | | | | | | - Faris Ayasra
- Faculty of Medicine, The Hashemite University, Zarqa, Jordan
| | | | - Mohamed S Attia
- Department of Pharmaceutics, Faculty of Pharmacy, Zagazig University, Zagazig, Egypt
| | | | - Hanaa Elsayed
- Faculty of Medicine, Zagazig University, Zagazig, Egypt
| | - Ali Shalash
- Department of Neurology, Faculty of Medicine, Ain Shams University, Cairo, Egypt
| | - Eshak I Bahbah
- Faculty of Medicine, Al-Azhar University, Damietta, Egypt.
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Sundram S, Dhiman N, Malviya R, Awasthi R. Non-coding RNAs in Regulation of Protein Aggregation and Clearance Pathways: Current Perspectives Towards Alzheimer's Research and Therapy. Curr Gene Ther 2024; 24:8-16. [PMID: 37519207 DOI: 10.2174/1566523223666230731093030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Revised: 05/07/2023] [Accepted: 07/04/2023] [Indexed: 08/01/2023]
Abstract
Alzheimer's disease (AD) is the leading cause of dementia, affecting approximately 45.0 million people worldwide and ranking as the fifth leading cause of mortality. AD is identified by neurofibrillary tangles (NFTs), which include abnormally phosphorylated tau-protein and amyloid protein (amyloid plaques). Peptide dysregulation is caused by an imbalance between the production and clearance of the amyloid-beta (Aβ) and NFT. AD begins to develop when these peptides are not cleared from the body. As a result, understanding the processes that control both normal and pathological protein recycling in neuronal cells is critical. Insufficient Aβ and NFT clearance are important factors in the development of AD. Autophagy, lysosomal dysfunction, and ubiquitin-proteasome dysfunction have potential roles in the pathogenesis of many neurodegenerative disorders, particularly in AD. Modulation of these pathways may provide a novel treatment strategy for AD. Non-coding RNAs (ncRNAs) have recently emerged as important biological regulators, with particular relevance to the emergence and development of neurodegenerative disorders such as AD. ncRNAs can be used as potential therapeutic targets and diagnostic biomarkers due to their critical regulatory functions in several biological processes involved in disease development, such as the aggregation and accumulation of Aβ and NFT. It is evident that ncRNAs play a role in the pathophysiology of AD. In this communication, we explored the link between ncRNAs and AD and their regulatory mechanisms that may help in finding new therapeutic targets and AD medications.
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Affiliation(s)
- Sonali Sundram
- Department of Pharmacy, School of Medical and Allied Sciences, Galgotias University, Greater Noida, India
- Amity Institute of Pharmacy, Amity University Uttar Pradesh, Noida, India
| | - Neerupma Dhiman
- Amity Institute of Pharmacy, Amity University Uttar Pradesh, Noida, India
| | - Rishabha Malviya
- Department of Pharmacy, School of Medical and Allied Sciences, Galgotias University, Greater Noida, India
| | - Rajendra Awasthi
- Department of Pharmaceutical Sciences, School of Health Sciences & Technology, UPES University, Dehradun, Uttarakhand, India
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Jin S, Li C, Miao J, Sun J, Yang Z, Cao X, Sun K, Liu X, Ma L, Xu X, Liu Z. Sociodemographic Factors Predict Incident Mild Cognitive Impairment: A Brief Review and Empirical Study. J Am Med Dir Assoc 2023; 24:1959-1966.e7. [PMID: 37716705 DOI: 10.1016/j.jamda.2023.08.016] [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: 03/25/2023] [Revised: 08/15/2023] [Accepted: 08/17/2023] [Indexed: 09/18/2023]
Abstract
OBJECTIVES Mild cognitive impairment (MCI) is a transitional stage between normal cognitive aging and dementia that increases the risk of progressive cognitive decline. Early prediction of MCI could be beneficial for identifying vulnerable individuals in the community and planning primary and secondary prevention to reduce the incidence of MCI. DESIGN A narrative review and cohort study. SETTING AND PARTICIPANTS We review the MCI prediction based on the assessment of sociodemographic factors. We included participants from 3 surveys: 8915 from wave 2011/2012 of the China Health and Retirement Longitudinal Study (CHARLS), 9765 from the 2011 Chinese Longitudinal Healthy Longevity Survey (CLHLS), and 1823 from the 2014 Rugao Longevity and Ageing Study (RuLAS). METHODS We searched in PubMed, Embase, and Web of Science Core Collection between January 1, 2019, and December 30, 2022. To construct the composite risk score, a multivariate Cox proportional hazards regression model was used. The performance of the score was assessed using receiver operating characteristic (ROC) curves. Furthermore, the composite risk score was validated in 2 longitudinal cohorts, CLHLS and RuLAS. RESULTS We concluded on 20 articles from 892 available. The results suggested that the previous models suffered from several defects, including overreliance on cross-sectional data, low predictive utility, inconvenient measurement, and inapplicability to developing countries. Our empirical work suggested that the area under the curve for a 5-year MCI prediction was 0.861 in CHARLS, 0.797 in CLHLS, and 0.823 in RuLAS. We designed a publicly available online tool for this composite risk score. CONCLUSIONS AND IMPLICATIONS Attention to these sociodemographic factors related to the incidence of MCI can be beneficially incorporated into the current work, which will set the stage for better early prediction of MCI before its incidence and for reducing the burden of the disease.
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Affiliation(s)
- Shuyi Jin
- Institute of Wenzhou, Second Affiliated Hospital, and School of Public Health, the Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Chenxi Li
- Institute of Wenzhou, Second Affiliated Hospital, and School of Public Health, the Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Jiani Miao
- Institute of Wenzhou, Second Affiliated Hospital, and School of Public Health, the Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Jingyi Sun
- Institute of Wenzhou, Second Affiliated Hospital, and School of Public Health, the Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Zhenqing Yang
- Institute of Wenzhou, Second Affiliated Hospital, and School of Public Health, the Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Xingqi Cao
- Institute of Wenzhou, Second Affiliated Hospital, and School of Public Health, the Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Kaili Sun
- Institute of Wenzhou, Second Affiliated Hospital, and School of Public Health, the Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Xiaoting Liu
- School of Public Affairs, Zhejiang University, Hangzhou, Zhejiang, China
| | - Lina Ma
- Department of Geriatrics, Xuanwu Hospital Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China
| | - Xin Xu
- Department of Big Data in Health Science School of Public Health, and Center for Clinical Big Data and Analytics of the Second Affiliated Hospital, School of Medicine, Zhejiang University, China.
| | - Zuyun Liu
- Institute of Wenzhou, Second Affiliated Hospital, and School of Public Health, the Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
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Harbs J, Rinaldi S, Keski-Rahkonen P, Liu X, Palmqvist R, Van Guelpen B, Harlid S. An epigenome-wide analysis of sex hormone levels and DNA methylation in male blood samples. Epigenetics 2023; 18:2196759. [PMID: 36994855 PMCID: PMC10072117 DOI: 10.1080/15592294.2023.2196759] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2022] [Accepted: 03/23/2023] [Indexed: 03/31/2023] Open
Abstract
Endogenous sex hormones and DNA methylation both play important roles in various diseases. However, their interplay is largely unknown. A deeper understanding of their interrelationships could provide new insights into the pathology of disease development. We, therefore, investigated associations between circulating sex hormones, sex hormone binding globulin (SHBG), and DNA methylation in blood, using samples from 77 men (65 with repeated samples), from the population-based Northern Sweden Health and Disease Study (NSHDS). DNA methylation was measured in buffy coat using the Infinium Methylation EPIC BeadChip (Illumina). Sex hormone (oestradiol, oestrone, testosterone, androstenedione, dehydroepiandrosterone, and progesterone) and SHBG concentrations were measured in plasma using a high-performance liquid chromatography tandem mass spectrometry (LC/MS-MS) method and an enzyme-linked immunoassay, respectively. Associations between sex hormones, SHBG, and DNA methylation were estimated using both linear regression and mixed-effects models. Additionally, we used the comb-p method to identify differentially methylated regions based on nearby P values. We identified one novel CpG site (cg14319657), at which DNA methylation was associated with dehydroepiandrosterone, surpassing a genome-wide significance level. In addition, more than 40 differentially methylated regions were associated with levels of sex hormones and SHBG and several of these mapped to genes involved in hormone-related diseases. Our findings support a relationship between circulating sex hormones and DNA methylation and suggest that further investigation is warranted, both for validation, further exploration and to gain a deeper understanding of the mechanisms and potential consequences for health and disease.
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Affiliation(s)
- Justin Harbs
- Department of Radiation Sciences, Oncology Unit, Umeå University, Umeå, Sweden
| | - Sabina Rinaldi
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Pekka Keski-Rahkonen
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Xijia Liu
- Department of Statistics, Umeå University, Umeå, Sweden
| | - Richard Palmqvist
- Deparment of Medical Biosciences, Pathology, Umeå University, Umeå, Sweden
| | - Bethany Van Guelpen
- Department of Radiation Sciences, Oncology Unit, Umeå University, Umeå, Sweden
- Wallenberg Centre for Molecular Medicine, Umeå University, Umeå, Sweden
| | - Sophia Harlid
- Department of Radiation Sciences, Oncology Unit, Umeå University, Umeå, Sweden
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Zou T, Zhou X, Wang Q, Zhao Y, Zhu M, Zhang L, Chen W, Abuliz P, Miao H, Kabinur K, Alimu K. Associations of serum DNA methylation levels of chemokine signaling pathway genes with mild cognitive impairment (MCI) and Alzheimer's disease (AD). PLoS One 2023; 18:e0295320. [PMID: 38039290 PMCID: PMC10691689 DOI: 10.1371/journal.pone.0295320] [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: 07/13/2023] [Accepted: 11/18/2023] [Indexed: 12/03/2023] Open
Abstract
OBJECTIVE To investigate the associations of serum DNA methylation levels of chemokine signaling pathway genes with Alzheimer's disease (AD) and mild cognitive impairment (MCI) in elderly people in Xinjiang, China, and to screen out genes whose DNA methylation could distinguish AD and MCI. MATERIALS AND METHODS 37 AD, 40 MCI and 80 controls were included in the present study. DNA methylation assay was done using quantitative methylation-specific polymerase chain reaction (qMSP). Genotyping was done using Sanger sequencing. RESULTS DNA methylation levels of ADCY2, MAP2K1 and AKT1 were significantly different among AD, MCI and controls. In the comparisons of each two groups, AKT1 and MAP2K1's methylation was both significantly different between AD and MCI (p < 0.05), whereas MAP2K1's methylation was also significantly different between MCI and controls. Therefore, AKT1's methylation was considered as the candidate serum marker to distinguish AD from MCI, and its association with AD was independent of APOE ε4 allele (p < 0.05). AKT1 hypermethylation was an independent risk factor for AD and MAP2K1 hypomethylation was an independent risk factor for MCI in logistic regression analysis (p < 0.05). CONCLUSION This study found that the serum of AKT1 hypermethylation is related to AD independently of APOE ε4, which was differentially expressed in the Entorhinal Cortex of the brain and was an independent risk factor for AD. It could be used as one of the candidate serum markers to distinguish AD and MCI. Serum of MAP2K1 hypomethylation is an independent risk factor for MCI.
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Affiliation(s)
- Ting Zou
- Department of Geriatrics, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang Province, China
| | - Xiaohui Zhou
- Department of Geriatrics, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang Province, China
| | - Qinwen Wang
- Ningbo Key Lab of Behavior Neuroscience, Zhejiang Provincial Key Laboratory of Pathophysiology, School of Medicine, Ningbo University, Ningbo, Zhejiang Province, China
| | - Yongjie Zhao
- Department of Geriatrics, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang Province, China
| | - Meisheng Zhu
- Department of Geriatrics, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang Province, China
| | - Lei Zhang
- Department of Geriatrics, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang Province, China
| | - Wei Chen
- Department of Geriatrics, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang Province, China
| | - Pari Abuliz
- Department of Geriatrics, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang Province, China
| | - Haijun Miao
- Department of Geriatrics, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang Province, China
| | - Keyimu Kabinur
- Department of Geriatrics, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang Province, China
| | - Kader Alimu
- Department of Geriatrics, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang Province, China
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Housini M, Zhou Z, Gutierrez J, Rao S, Jomaa R, Subasinghe K, Reid DM, Silzer T, Phillips N, O'Bryant S, Barber RC. Top Alzheimer's disease risk allele frequencies differ in HABS-HD Mexican- versus Non-Hispanic White Americans. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2023; 15:e12518. [PMID: 38155914 PMCID: PMC10752755 DOI: 10.1002/dad2.12518] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Revised: 11/13/2023] [Accepted: 11/25/2023] [Indexed: 12/30/2023]
Abstract
INTRODUCTION: Here we evaluate frequencies of the top 10 Alzheimer's disease (AD) risk alleles for late-onset AD in Mexican American (MA) and non-Hispanic White (NHW) American participants enrolled in the Health and Aging Brain Study-Health Disparities Study cohort. METHODS: Using DNA extracted from this community-based diverse population, we calculated the genotype frequencies in each population to determine whether a significant difference is detected between the different ethnicities. DNA genotyping was performed per manufacturers' protocols. RESULTS: Allele and genotype frequencies for 9 of the 11 single nucleotide polymorphisms (two apolipoprotein E variants, CR1, BIN1, DRB1, NYAP1, PTK2B, FERMT2, and ABCA7) differed significantly between MAs and NHWs. DISCUSSION: The significant differences in frequencies of top AD risk alleles observed here across MAs and NHWs suggest that ethnicity-specific genetic risks for AD exist. Given our results, we are advancing additional projects to further elucidate ethnicity-specific differences in AD.
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Affiliation(s)
- Mohammad Housini
- Department of Pharmacology and NeuroscienceSchool of Biomedical SciencesUniversity of North Texas Health Science CenterFort WorthTexasUSA
- Department of Family Medicine & Manipulative MedicineTexas College of Osteopathic MedicineUniversity of North Texas Health Science CenterFort WorthTexasUSA
| | - Zhengyang Zhou
- Department of Biostatistics and EpidemiologySchool of Public HealthUniversity of North Texas Health Science CenterFort WorthTexasUSA
- Institute for Translational ResearchUNT Health Science CenterFort WorthTexasUSA
| | - John Gutierrez
- Department of Internal MedicineTexas Institute for Graduate Medical Education and ResearchSan AntonioTexasUSA
| | - Sumedha Rao
- Department of Family Medicine & Manipulative MedicineTexas College of Osteopathic MedicineUniversity of North Texas Health Science CenterFort WorthTexasUSA
| | - Rodwan Jomaa
- Department of Family Medicine & Manipulative MedicineTexas College of Osteopathic MedicineUniversity of North Texas Health Science CenterFort WorthTexasUSA
| | - Kumudu Subasinghe
- Department of MicrobiologyImmunology and GeneticsSchool of Biomedical SciencesUniversity of North Texas Health Science CenterFort WorthTexasUSA
| | - Danielle Marie Reid
- Department of MicrobiologyImmunology and GeneticsSchool of Biomedical SciencesUniversity of North Texas Health Science CenterFort WorthTexasUSA
| | - Talisa Silzer
- Department of MicrobiologyImmunology and GeneticsSchool of Biomedical SciencesUniversity of North Texas Health Science CenterFort WorthTexasUSA
| | - Nicole Phillips
- Institute for Translational ResearchUNT Health Science CenterFort WorthTexasUSA
- Department of MicrobiologyImmunology and GeneticsSchool of Biomedical SciencesUniversity of North Texas Health Science CenterFort WorthTexasUSA
| | - Sid O'Bryant
- Department of Family Medicine & Manipulative MedicineTexas College of Osteopathic MedicineUniversity of North Texas Health Science CenterFort WorthTexasUSA
- Institute for Translational ResearchUNT Health Science CenterFort WorthTexasUSA
| | - Robert Clinton Barber
- Department of Family Medicine & Manipulative MedicineTexas College of Osteopathic MedicineUniversity of North Texas Health Science CenterFort WorthTexasUSA
- Institute for Translational ResearchUNT Health Science CenterFort WorthTexasUSA
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Jeremic D, Jiménez-Díaz L, Navarro-López JD. Targeting epigenetics: A novel promise for Alzheimer's disease treatment. Ageing Res Rev 2023; 90:102003. [PMID: 37422087 DOI: 10.1016/j.arr.2023.102003] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Revised: 05/30/2023] [Accepted: 07/03/2023] [Indexed: 07/10/2023]
Abstract
So far, the search for a cure for Alzheimer Disease (AD) has been unsuccessful. The only approved drugs attenuate some symptoms, but do not halt the progress of this disease, which affects 50 million people worldwide and will increase its incidence in the coming decades. Such scenario demands new therapeutic approaches to fight against this devastating dementia. In recent years, multi-omics research and the analysis of differential epigenetic marks in AD subjects have contributed to our understanding of AD; however, the impact of epigenetic research is yet to be seen. This review integrates the most recent data on pathological processes and epigenetic changes relevant for aging and AD, as well as current therapies targeting epigenetic machinery in clinical trials. Evidence shows that epigenetic modifications play a key role in gene expression, which could provide multi-target preventative and therapeutic approaches in AD. Both novel and repurposed drugs are employed in AD clinical trials due to their epigenetic effects, as well as increasing number of natural compounds. Given the reversible nature of epigenetic modifications and the complexity of gene-environment interactions, the combination of epigenetic-based therapies with environmental strategies and drugs with multiple targets might be needed to properly help AD patients.
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Affiliation(s)
- Danko Jeremic
- University of Castilla-La Mancha, NeuroPhysiology & Behavior Lab, Biomedical Research Center (CRIB), School of Medicine of Ciudad Real, Spain
| | - Lydia Jiménez-Díaz
- University of Castilla-La Mancha, NeuroPhysiology & Behavior Lab, Biomedical Research Center (CRIB), School of Medicine of Ciudad Real, Spain.
| | - Juan D Navarro-López
- University of Castilla-La Mancha, NeuroPhysiology & Behavior Lab, Biomedical Research Center (CRIB), School of Medicine of Ciudad Real, Spain.
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Andrade-Guerrero J, Santiago-Balmaseda A, Jeronimo-Aguilar P, Vargas-Rodríguez I, Cadena-Suárez AR, Sánchez-Garibay C, Pozo-Molina G, Méndez-Catalá CF, Cardenas-Aguayo MDC, Diaz-Cintra S, Pacheco-Herrero M, Luna-Muñoz J, Soto-Rojas LO. Alzheimer's Disease: An Updated Overview of Its Genetics. Int J Mol Sci 2023; 24:ijms24043754. [PMID: 36835161 PMCID: PMC9966419 DOI: 10.3390/ijms24043754] [Citation(s) in RCA: 60] [Impact Index Per Article: 60.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Revised: 01/31/2023] [Accepted: 02/06/2023] [Indexed: 02/16/2023] Open
Abstract
Alzheimer's disease (AD) is the most common neurodegenerative disease in the world. It is classified as familial and sporadic. The dominant familial or autosomal presentation represents 1-5% of the total number of cases. It is categorized as early onset (EOAD; <65 years of age) and presents genetic mutations in presenilin 1 (PSEN1), presenilin 2 (PSEN2), or the Amyloid precursor protein (APP). Sporadic AD represents 95% of the cases and is categorized as late-onset (LOAD), occurring in patients older than 65 years of age. Several risk factors have been identified in sporadic AD; aging is the main one. Nonetheless, multiple genes have been associated with the different neuropathological events involved in LOAD, such as the pathological processing of Amyloid beta (Aβ) peptide and Tau protein, as well as synaptic and mitochondrial dysfunctions, neurovascular alterations, oxidative stress, and neuroinflammation, among others. Interestingly, using genome-wide association study (GWAS) technology, many polymorphisms associated with LOAD have been identified. This review aims to analyze the new genetic findings that are closely related to the pathophysiology of AD. Likewise, it analyzes the multiple mutations identified to date through GWAS that are associated with a high or low risk of developing this neurodegeneration. Understanding genetic variability will allow for the identification of early biomarkers and opportune therapeutic targets for AD.
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Affiliation(s)
- Jesús Andrade-Guerrero
- Laboratorio de Patogénesis Molecular, Laboratorio 4, Edificio A4, Carrera Médico Cirujano, Facultad de Estudios Superiores Iztacala, Universidad Nacional Autónoma de México, Tlalnepantla 54090, Edomex, Mexico
- Departamento de Neurobiología del Desarrollo y Neurofisiología, Instituto de Neurobiología, Universidad Nacional Autónoma de México, Juriquilla 76230, Querétaro, Mexico
| | - Alberto Santiago-Balmaseda
- Laboratorio de Patogénesis Molecular, Laboratorio 4, Edificio A4, Carrera Médico Cirujano, Facultad de Estudios Superiores Iztacala, Universidad Nacional Autónoma de México, Tlalnepantla 54090, Edomex, Mexico
- Red MEDICI, Carrera Médico Cirujano, Facultad de Estudios Superiores Iztacala, Universidad Nacional Autónoma de México, Tlalnepantla 54090, Edomex, Mexico
| | - Paola Jeronimo-Aguilar
- Laboratorio de Patogénesis Molecular, Laboratorio 4, Edificio A4, Carrera Médico Cirujano, Facultad de Estudios Superiores Iztacala, Universidad Nacional Autónoma de México, Tlalnepantla 54090, Edomex, Mexico
- Red MEDICI, Carrera Médico Cirujano, Facultad de Estudios Superiores Iztacala, Universidad Nacional Autónoma de México, Tlalnepantla 54090, Edomex, Mexico
- Sección de Estudios de Posgrado e Investigación, Escuela Superior de Medicina, Instituto Politécnico Nacional, Ciudad de México 11340, Mexico
| | - Isaac Vargas-Rodríguez
- Departamento de Neurobiología del Desarrollo y Neurofisiología, Instituto de Neurobiología, Universidad Nacional Autónoma de México, Juriquilla 76230, Querétaro, Mexico
| | - Ana Ruth Cadena-Suárez
- National Dementia BioBank, Ciencias Biológicas, Facultad de Estudios Superiores Cuautitlán, Universidad-Nacional Autónoma de México, Cuatitlan 53150, Edomex, Mexico
| | - Carlos Sánchez-Garibay
- Departamento de Neuropatología, Instituto Nacional de Neurología y Neurocirugía Manuel Velasco Suárez, Ciudad de México 14269, Mexico
| | - Glustein Pozo-Molina
- Laboratorio de Genética y Oncología Molecular, Laboratorio 5, Edificio A4, Carrera Médico Cirujano, Facultad de Estudios Superiores Iztacala, Universidad Nacional Autónoma de México, Tlalnepantla 54090, Edomex, Mexico
| | - Claudia Fabiola Méndez-Catalá
- Laboratorio de Genética y Oncología Molecular, Laboratorio 5, Edificio A4, Carrera Médico Cirujano, Facultad de Estudios Superiores Iztacala, Universidad Nacional Autónoma de México, Tlalnepantla 54090, Edomex, Mexico
- División de Investigación y Posgrado, Facultad de Estudios Superiores Iztacala, Universidad Nacional Autónoma de Mexico, Tlalnepantla 54090, Edomex, Mexico
| | - Maria-del-Carmen Cardenas-Aguayo
- Laboratory of Cellular Reprogramming, Departamento de Fisiología, Facultad de Medicina, Universidad Nacional Autónoma de México, Ciudad de México 04510, Mexico
| | - Sofía Diaz-Cintra
- Departamento de Neurobiología del Desarrollo y Neurofisiología, Instituto de Neurobiología, Universidad Nacional Autónoma de México, Juriquilla 76230, Querétaro, Mexico
| | - Mar Pacheco-Herrero
- Neuroscience Research Laboratory, Faculty of Health Sciences, Pontificia Universidad Católica Madre y Maestra, Santiago de los Caballeros 51000, Dominican Republic
| | - José Luna-Muñoz
- National Dementia BioBank, Ciencias Biológicas, Facultad de Estudios Superiores Cuautitlán, Universidad-Nacional Autónoma de México, Cuatitlan 53150, Edomex, Mexico
- National Brain Bank-UNPHU, Universidad Nacional Pedro Henríquez Ureña, Santo Domingo 1423, Dominican Republic
- Correspondence: (J.L.-M.); (L.O.S.-R.); Tel.: +52-55-45-23-41-20 (J.L.-M.); +52-55-39-37-94-30 (L.O.S.-R.)
| | - Luis O. Soto-Rojas
- Laboratorio de Patogénesis Molecular, Laboratorio 4, Edificio A4, Carrera Médico Cirujano, Facultad de Estudios Superiores Iztacala, Universidad Nacional Autónoma de México, Tlalnepantla 54090, Edomex, Mexico
- Red MEDICI, Carrera Médico Cirujano, Facultad de Estudios Superiores Iztacala, Universidad Nacional Autónoma de México, Tlalnepantla 54090, Edomex, Mexico
- Correspondence: (J.L.-M.); (L.O.S.-R.); Tel.: +52-55-45-23-41-20 (J.L.-M.); +52-55-39-37-94-30 (L.O.S.-R.)
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Abraham Daniel A, Silzer T, Sun J, Zhou Z, Hall C, Phillips N, Barber R. Hypermethylation at CREBBP Is Associated with Cognitive Impairment in a Mexican American Cohort. J Alzheimers Dis 2023; 92:1229-1239. [PMID: 36872777 PMCID: PMC10200223 DOI: 10.3233/jad-221031] [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] [Accepted: 02/01/2023] [Indexed: 03/06/2023]
Abstract
BACKGROUND The aging Mexican American (MA) population is the fastest growing ethnic minority group in the US. MAs have a unique metabolic-related risk for Alzheimer's disease (AD) and mild cognitive impairment (MCI), compared to non-Hispanic whites (NHW). This risk for cognitive impairment (CI) is multifactorial involving genetics, environmental, and lifestyle factors. Changes in environment and lifestyle can alter patterns and even possibly reverse derangement of DNA methylation (a form of epigenetic regulation). OBJECTIVE We sought to identify ethnicity-specific DNA methylation profiles that may be associated with CI in MAs and NHWs. METHODS DNA obtained from peripheral blood of 551 participants from the Texas Alzheimer's Research and Care Consortium was typed on the Illumina Infinium® MethylationEPIC chip array, which assesses over 850K CpG genomic sites. Within each ethnic group (N = 299 MAs, N = 252 NHWs), participants were stratified by cognitive status (control versus CI). Beta values, representing relative degree of methylation, were normalized using the Beta MIxture Quantile dilation method and assessed for differential methylation using the Chip Analysis Methylation Pipeline (ChAMP), limma and cate packages in R. RESULTS Two differentially methylated sites were significant: cg13135255 (MAs) and cg27002303 (NHWs) based on an FDR p < 0.05. Three suggestive sites obtained were cg01887506 (MAs) and cg10607142 and cg13529380 (NHWs). Most methylation sites were hypermethylated in CI compared to controls, except cg13529380 which was hypomethylated. CONCLUSION The strongest association with CI was at cg13135255 (FDR-adjusted p = 0.029 in MAs), within the CREBBP gene. Moving forward, identifying additional ethnicity-specific methylation sites may be useful to discern CI risk in MAs.
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Affiliation(s)
- Ann Abraham Daniel
- Department of Microbiology, Immunology and Genetics, School of Biomedical Sciences, University of North Texas Health Science Center, Fort Worth, TX, USA
| | - Talisa Silzer
- Department of Microbiology, Immunology and Genetics, School of Biomedical Sciences, University of North Texas Health Science Center, Fort Worth, TX, USA
| | - Jie Sun
- Department of Microbiology, Immunology and Genetics, School of Biomedical Sciences, University of North Texas Health Science Center, Fort Worth, TX, USA
| | - Zhengyang Zhou
- Department of Biostatistics and Epidemiology, School of Public Health, University of North Texas Health Science Center, Fort Worth, TX, USA
| | - Courtney Hall
- Department of Microbiology, Immunology and Genetics, School of Biomedical Sciences, University of North Texas Health Science Center, Fort Worth, TX, USA
| | - Nicole Phillips
- Department of Microbiology, Immunology and Genetics, School of Biomedical Sciences, University of North Texas Health Science Center, Fort Worth, TX, USA
| | - Robert Barber
- Department of Family and Manipulative Medicine, Texas College of Osteopathic Medicine, University of North Texas Health Science Center, Fort Worth, TX, USA
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Savelieff MG, Chen KS, Elzinga SE, Feldman EL. Diabetes and dementia: Clinical perspective, innovation, knowledge gaps. J Diabetes Complications 2022; 36:108333. [PMID: 36240668 PMCID: PMC10076101 DOI: 10.1016/j.jdiacomp.2022.108333] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Accepted: 09/30/2022] [Indexed: 10/31/2022]
Abstract
The world faces a pandemic-level prevalence of type 2 diabetes. In parallel with this massive burden of metabolic disease is the growing prevalence of dementia as the population ages. The two health issues are intertwined. The Lancet Commission on dementia prevention, intervention, and care was convened to tackle the growing global concern of dementia by identifying risk factors. It concluded, along with other studies, that diabetes as well as obesity and the metabolic syndrome more broadly, which are frequently comorbid, raise the risk of developing dementia. Type 2 diabetes is a modifiable risk factor; however, it is uncertain whether anti-diabetic drugs mitigate risk of developing dementia. Reasons are manifold but constitute a critical knowledge gap in the field. This review outlines studies of type 2 diabetes on risk of dementia, illustrating key concepts. Moreover, it identifies knowledge gaps, reviews strategies to help fill these gaps, and concludes with a series of recommendations to mitigate risk and advance understanding of type 2 diabetes and dementia.
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Affiliation(s)
- Masha G Savelieff
- NeuroNetwork for Emerging Therapies, University of Michigan, Ann Arbor, MI 48109, USA
| | - Kevin S Chen
- NeuroNetwork for Emerging Therapies, University of Michigan, Ann Arbor, MI 48109, USA; Department of Neurology, University of Michigan, Ann Arbor, MI 48109, USA; Department of Neurosurgery, University of Michigan, Ann Arbor, MI 48109, USA.
| | - Sarah E Elzinga
- NeuroNetwork for Emerging Therapies, University of Michigan, Ann Arbor, MI 48109, USA; Department of Neurology, University of Michigan, Ann Arbor, MI 48109, USA.
| | - Eva L Feldman
- NeuroNetwork for Emerging Therapies, University of Michigan, Ann Arbor, MI 48109, USA; Department of Neurology, University of Michigan, Ann Arbor, MI 48109, USA.
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Villa C, Stoccoro A. Epigenetic Peripheral Biomarkers for Early Diagnosis of Alzheimer’s Disease. Genes (Basel) 2022; 13:genes13081308. [PMID: 35893045 PMCID: PMC9332601 DOI: 10.3390/genes13081308] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Revised: 07/20/2022] [Accepted: 07/20/2022] [Indexed: 11/16/2022] Open
Abstract
Alzheimer’s disease (AD) is a progressive neurodegenerative disorder and represents the leading cause of cognitive impairment and dementia in older individuals throughout the world. The main hallmarks of AD include brain atrophy, extracellular deposition of insoluble amyloid-β (Aβ) plaques, and the intracellular aggregation of protein tau in neurofibrillary tangles. These pathological modifications start many years prior to clinical manifestations of disease and the spectrum of AD progresses along a continuum from preclinical to clinical phases. Therefore, identifying specific biomarkers for detecting AD at early stages greatly improves clinical management. However, stable and non-invasive biomarkers are not currently available for the early detection of the disease. In the search for more reliable biomarkers, epigenetic mechanisms, able to mediate the interaction between the genome and the environment, are emerging as important players in AD pathogenesis. Herein, we discuss altered epigenetic signatures in blood as potential peripheral biomarkers for the early detection of AD in order to help diagnosis and improve therapy.
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Affiliation(s)
- Chiara Villa
- School of Medicine and Surgery, University of Milano-Bicocca, 20900 Monza, Italy
- Correspondence: ; Tel.: +39-02-6448-8138
| | - Andrea Stoccoro
- Department of Translational Research and of New Surgical and Medical Technologies, Medical School, University of Pisa, 56126 Pisa, Italy;
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Fu L, Zhu W, Tian D, Tang Y, Ye Y, Wei Q, Zhang C, Qiu W, Qin D, Yang X, Huang Y. Dietary Supplement of Anoectochilus roxburghii (Wall.) Lindl. Polysaccharides Ameliorates Cognitive Dysfunction Induced by High Fat Diet via “Gut-Brain” Axis. Drug Des Devel Ther 2022; 16:1931-1945. [PMID: 35762015 PMCID: PMC9232844 DOI: 10.2147/dddt.s356934] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Accepted: 06/12/2022] [Indexed: 11/23/2022] Open
Abstract
Purpose Anoectochilus roxburghii (Wall.) Lindl. polysaccharides (ARPs) have been reported to exhibit multiple pharmacological activities including anti-inflammatory and anti-hyperglycemia. This study aims to investigate the effect of ARPs on cognitive dysfunction induced by high fat diet (HFD). Methods Six-week-old male mice were treated with ARPs by dietary supplementation for 14 weeks. The effect of ARPs on cognitive function was determined by assessing the changes in spatial learning and memory ability, neurotrophic factors in hippocampus, inflammatory parameters, intestinal barrier integrity, and gut microbiota. Results ARPs supplementation can effectively ameliorate cognitive dysfunction, decrease the phosphorylation levels of Tau protein in hippocampus. Meanwhile, the increased body weight, plasma glucose, total cholesterol, inflammatory factors induced by HFD were abolished by ARPs treatment. Furthermore, ARPs treatment restored the intestinal epithelial barrier as evidenced by upregulation of intestinal tight junction proteins. Additionally, ARPs supplementation significantly decreased the relative abundance of several bacteria genus such as Parabacteroides, which may play regulatory roles in cognitive function. Conclusion These results suggest that ARPs might be a promising strategy for the treatment of cognitive dysfunction induced by HFD. Mechanistically, alleviation of cognitive dysfunction by ARPs might be associated with the “gut-brain” axis.
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Affiliation(s)
- Liya Fu
- Department of Pharmacy, The Affiliated Hospital of Southwest Medical University, Luzhou, People’s Republic of China
- School of Pharmacy, Southwest Medical University, Luzhou, People’s Republic of China
| | - Wanlong Zhu
- Department of Pharmacy, The Affiliated Hospital of Southwest Medical University, Luzhou, People’s Republic of China
- School of Pharmacy, Southwest Medical University, Luzhou, People’s Republic of China
| | - Dongmei Tian
- Department of Pharmacy, The Affiliated Hospital of Southwest Medical University, Luzhou, People’s Republic of China
- School of Pharmacy, Southwest Medical University, Luzhou, People’s Republic of China
| | - Yong Tang
- School of Pharmacy, Southwest Medical University, Luzhou, People’s Republic of China
- State Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science and Technology, Macau, 999078, People’s Republic of China
| | - Yun Ye
- Department of Pharmacy, The Affiliated Hospital of Southwest Medical University, Luzhou, People’s Republic of China
| | - Qiming Wei
- Department of Pharmacy, The Affiliated Hospital of Southwest Medical University, Luzhou, People’s Republic of China
| | - Chengbin Zhang
- Department of Pharmacy, The Affiliated Hospital of Southwest Medical University, Luzhou, People’s Republic of China
| | - Wenqiao Qiu
- School of Pharmacy, Southwest Medical University, Luzhou, People’s Republic of China
| | - Dalian Qin
- School of Pharmacy, Southwest Medical University, Luzhou, People’s Republic of China
| | - Xuping Yang
- Department of Pharmacy, The Affiliated Hospital of Southwest Medical University, Luzhou, People’s Republic of China
- School of Pharmacy, Southwest Medical University, Luzhou, People’s Republic of China
- Correspondence: Xuping Yang; Yilan Huang, Department of Pharmacy, The Affiliated Hospital of Southwest Medical University, Luzhou, People’s Republic of China, Email ;
| | - Yilan Huang
- Department of Pharmacy, The Affiliated Hospital of Southwest Medical University, Luzhou, People’s Republic of China
- School of Pharmacy, Southwest Medical University, Luzhou, People’s Republic of China
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Shen R, Murphy CJ, Xu X, Hu M, Ding J, Wu C. Ras and Rab Interactor 3: From Cellular Mechanisms to Human Diseases. Front Cell Dev Biol 2022; 10:824961. [PMID: 35359443 PMCID: PMC8963869 DOI: 10.3389/fcell.2022.824961] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Accepted: 02/18/2022] [Indexed: 11/13/2022] Open
Abstract
Ras and Rab interactor 3 (RIN3) functions as a Guanine nucleotide Exchange Factor (GEF) for some members of the Rab family of small GTPase. By promoting the activation of Rab5, RIN3 plays an important role in regulating endocytosis and endocytic trafficking. In addition, RIN3 activates Ras, another small GTPase, that controls multiple signaling pathways to regulate cellular function. Increasing evidence suggests that dysregulation of RIN3 activity may contribute to the pathogenesis of several disease conditions ranging from Paget’s Disease of the Bone (PDB), Alzheimer’s Disease (AD), Chronic Obstructive Pulmonary Disease (COPD) and to obesity. Recent genome-wide association studies (GWAS) identified variants in the RIN3 gene to be linked with these disease conditions. Interestingly, some variants appear to be missense mutations in the functional domains of the RIN3 protein while most variants are located in the noncoding regions of the RIN3 gene, potentially altering its gene expression. However, neither the protein structure of RIN3 nor its exact function(s) (except for its GEF activity) has been fully defined. Furthermore, how the polymorphisms/variants contribute to disease pathogenesis remain to be understood. Herein, we examine, and review published studies in an attempt to provide a better understanding of the physiological function of RIN3; More importantly, we construct a framework linking the polymorphisms/variants of RIN3 to altered cell signaling and endocytic traffic, and to potential disease mechanism(s).
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Affiliation(s)
- Ruinan Shen
- Institute of Neurology, Ruijing Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China
- Department of Neurosciences, University of California San Diego School of Medicine, La Jolla, CA, United States
| | - Caitlin J Murphy
- Department of Neurosciences, University of California San Diego School of Medicine, La Jolla, CA, United States
| | - Xiaowen Xu
- Department of Neurosciences, University of California San Diego School of Medicine, La Jolla, CA, United States
| | - Mingzheng Hu
- Department of Neurosciences, University of California San Diego School of Medicine, La Jolla, CA, United States
| | - Jianqing Ding
- Institute of Neurology, Ruijing Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China
| | - Chengbiao Wu
- Department of Neurosciences, University of California San Diego School of Medicine, La Jolla, CA, United States
- *Correspondence: Chengbiao Wu,
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Noren Hooten N, Pacheco NL, Smith JT, Evans MK. The accelerated aging phenotype: The role of race and social determinants of health on aging. Ageing Res Rev 2022; 73:101536. [PMID: 34883202 PMCID: PMC10862389 DOI: 10.1016/j.arr.2021.101536] [Citation(s) in RCA: 54] [Impact Index Per Article: 27.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Revised: 11/12/2021] [Accepted: 12/03/2021] [Indexed: 02/06/2023]
Abstract
The pursuit to discover the fundamental biology and mechanisms of aging within the context of the physical and social environment is critical to designing interventions to prevent and treat its complex phenotypes. Aging research is critically linked to understanding health disparities because these inequities shape minority aging, which may proceed on a different trajectory than the overall population. Health disparities are characteristically seen in commonly occurring age-associated diseases such as cardiovascular and cerebrovascular disease as well as diabetes mellitus and cancer. The early appearance and increased severity of age-associated disease among African American and low socioeconomic status (SES) individuals suggests that the factors contributing to the emergence of health disparities may also induce a phenotype of 'premature aging' or 'accelerated aging' or 'weathering'. In marginalized and low SES populations with high rates of early onset age-associated disease the interaction of biologic, psychosocial, socioeconomic and environmental factors may result in a phenotype of accelerated aging biologically similar to premature aging syndromes with increased susceptibility to oxidative stress, premature accumulation of oxidative DNA damage, defects in DNA repair and higher levels of biomarkers of oxidative stress and inflammation. Health disparities, therefore, may be the end product of this complex interaction in populations at high risk. This review will examine the factors that drive both health disparities and the accelerated aging phenotype that ultimately contributes to premature mortality.
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Affiliation(s)
- Nicole Noren Hooten
- Laboratory of Epidemiology and Population Science, National Institute on Aging, National Institutes of Health, 251 Bayview Boulevard, Baltimore, MD 21224, USA
| | - Natasha L Pacheco
- Laboratory of Epidemiology and Population Science, National Institute on Aging, National Institutes of Health, 251 Bayview Boulevard, Baltimore, MD 21224, USA
| | - Jessica T Smith
- Laboratory of Epidemiology and Population Science, National Institute on Aging, National Institutes of Health, 251 Bayview Boulevard, Baltimore, MD 21224, USA
| | - Michele K Evans
- Laboratory of Epidemiology and Population Science, National Institute on Aging, National Institutes of Health, 251 Bayview Boulevard, Baltimore, MD 21224, USA.
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Florentinus-Mefailoski A, Bowden P, Scheltens P, Killestein J, Teunissen C, Marshall JG. The plasma peptides of Alzheimer's disease. Clin Proteomics 2021; 18:17. [PMID: 34182925 PMCID: PMC8240224 DOI: 10.1186/s12014-021-09320-2] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Accepted: 04/20/2021] [Indexed: 02/06/2023] Open
Abstract
Background A practical strategy to discover proteins specific to Alzheimer’s dementia (AD) may be to compare the plasma peptides and proteins from patients with dementia to normal controls and patients with neurological conditions like multiple sclerosis or other diseases. The aim was a proof of principle for a method to discover proteins and/or peptides of plasma that show greater observation frequency and/or precursor intensity in AD. The endogenous tryptic peptides of Alzheimer’s were compared to normals, multiple sclerosis, ovarian cancer, breast cancer, female normal, sepsis, ICU Control, heart attack, along with their institution-matched controls, and normal samples collected directly onto ice. Methods Endogenous tryptic peptides were extracted from blinded, individual AD and control EDTA plasma samples in a step gradient of acetonitrile for random and independent sampling by LC–ESI–MS/MS with a set of robust and sensitive linear quadrupole ion traps. The MS/MS spectra were fit to fully tryptic peptides within proteins identified using the X!TANDEM algorithm. Observation frequency of the identified proteins was counted using SEQUEST algorithm. The proteins with apparently increased observation frequency in AD versus AD Control were revealed graphically and subsequently tested by Chi Square analysis. The proteins specific to AD plasma by Chi Square with FDR correction were analyzed by the STRING algorithm. The average protein or peptide log10 precursor intensity was compared across disease and control treatments by ANOVA in the R statistical system. Results Peptides and/or phosphopeptides of common plasma proteins such as complement C2, C7, and C1QBP among others showed increased observation frequency by Chi Square and/or precursor intensity in AD. Cellular gene symbols with large Chi Square values (χ2 ≥ 25, p ≤ 0.001) from tryptic peptides included KIF12, DISC1, OR8B12, ZC3H12A, TNF, TBC1D8B, GALNT3, EME2, CD1B, BAG1, CPSF2, MMP15, DNAJC2, PHACTR4, OR8B3, GCK, EXOSC7, HMGA1 and NT5C3A among others. Similarly, increased frequency of tryptic phosphopeptides were observed from MOK, SMIM19, NXNL1, SLC24A2, Nbla10317, AHRR, C10orf90, MAEA, SRSF8, TBATA, TNIK, UBE2G1, PDE4C, PCGF2, KIR3DP1, TJP2, CPNE8, and NGF amongst others. STRING analysis showed an increase in cytoplasmic proteins and proteins associated with alternate splicing, exocytosis of luminal proteins, and proteins involved in the regulation of the cell cycle, mitochondrial functions or metabolism and apoptosis. Increases in mean precursor intensity of peptides from common plasma proteins such as DISC1, EXOSC5, UBE2G1, SMIM19, NXNL1, PANO, EIF4G1, KIR3DP1, MED25, MGRN1, OR8B3, MGC24039, POLR1A, SYTL4, RNF111, IREB2, ANKMY2, SGKL, SLC25A5, CHMP3 among others were associated with AD. Tryptic peptides from the highly conserved C-terminus of DISC1 within the sequence MPGGGPQGAPAAAGGGGVSHRAGSRDCLPPAACFR and ARQCGLDSR showed a higher frequency and highest intensity in AD compared to all other disease and controls. Conclusion Proteins apparently expressed in the brain that were directly related to Alzheimer’s including Nerve Growth Factor (NFG), Sphingomyelin Phosphodiesterase, Disrupted in Schizophrenia 1 (DISC1), the cell death regulator retinitis pigmentosa (NXNl1) that governs the loss of nerve cells in the retina and the cell death regulator ZC3H12A showed much higher observation frequency in AD plasma vs the matched control. There was a striking agreement between the proteins known to be mutated or dis-regulated in the brains of AD patients with the proteins observed in the plasma of AD patients from endogenous peptides including NBN, BAG1, NOX1, PDCD5, SGK3, UBE2G1, SMPD3 neuronal proteins associated with synapse function such as KSYTL4, VTI1B and brain specific proteins such as TBATA. Supplementary Information The online version contains supplementary material available at 10.1186/s12014-021-09320-2.
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Affiliation(s)
- Angelique Florentinus-Mefailoski
- Ryerson Analytical Biochemistry Laboratory (RABL), Department of Chemistry and Biology, Faculty of Science, Ryerson University, 350 Victoria St., Toronto, ON, Canada
| | - Peter Bowden
- Ryerson Analytical Biochemistry Laboratory (RABL), Department of Chemistry and Biology, Faculty of Science, Ryerson University, 350 Victoria St., Toronto, ON, Canada
| | - Philip Scheltens
- Alzheimer Center, Dept of Neurology, Amsterdam University Medical Centers, Vrije Universiteit, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Joep Killestein
- MS Center, Dept of Neurology, Amsterdam University Medical Centers, Vrije Universiteit, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Charlotte Teunissen
- Neurochemistry Lab and Biobank, Dept of Clinical Chemistry, Amsterdam University Medical Centers, Vrije Universiteit, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - John G Marshall
- Ryerson Analytical Biochemistry Laboratory (RABL), Department of Chemistry and Biology, Faculty of Science, Ryerson University, 350 Victoria St., Toronto, ON, Canada. .,International Biobank of Luxembourg (IBBL), Luxembourg Institute of Health (Formerly CRP Sante Luxembourg), Strassen, Luxembourg.
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19
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O'Bryant SE, Johnson LA, Barber RC, Braskie MN, Christian B, Hall JR, Hazra N, King K, Kothapalli D, Large S, Mason D, Matsiyevskiy E, McColl R, Nandy R, Palmer R, Petersen M, Philips N, Rissman RA, Shi Y, Toga AW, Vintimilla R, Vig R, Zhang F, Yaffe K. The Health & Aging Brain among Latino Elders (HABLE) study methods and participant characteristics. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2021; 13:e12202. [PMID: 34189247 PMCID: PMC8215806 DOI: 10.1002/dad2.12202] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Revised: 03/25/2021] [Accepted: 04/11/2021] [Indexed: 12/31/2022]
Abstract
INTRODUCTION Mexican Americans remain severely underrepresented in Alzheimer's disease (AD) research. The Health & Aging Brain among Latino Elders (HABLE) study was created to fill important gaps in the existing literature. METHODS Community-dwelling Mexican Americans and non-Hispanic White adults and elders (age 50 and above) were recruited. All participants underwent comprehensive assessments including an interview, functional exam, clinical labs, informant interview, neuropsychological testing, and 3T magnetic resonance imaging (MRI) of the brain. Amyloid and tau positron emission tomography (PET) scans were added at visit 2. Blood samples were stored in the Biorepository. RESULTS Data was examined from n = 1705 participants. Significant group differences were found in medical, demographic, and sociocultural factors. Cerebral amyloid and neurodegeneration imaging markers were significantly different between Mexican Americans and non-Hispanic Whites. DISCUSSION The current data provide strong support for continued investigations that examine the risk factors for and biomarkers of AD among diverse populations.
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Affiliation(s)
- Sid E. O'Bryant
- Institute for Translational ResearchUniversity of North Texas Health Science CenterFort WorthTexasUSA
- Department of Pharmacology and NeuroscienceUniversity of North Texas Health Science CenterFort WorthTexasUSA
| | - Leigh A. Johnson
- Institute for Translational ResearchUniversity of North Texas Health Science CenterFort WorthTexasUSA
- Department of Pharmacology and NeuroscienceUniversity of North Texas Health Science CenterFort WorthTexasUSA
| | - Robert C. Barber
- Institute for Translational ResearchUniversity of North Texas Health Science CenterFort WorthTexasUSA
- Department of Pharmacology and NeuroscienceUniversity of North Texas Health Science CenterFort WorthTexasUSA
| | - Meredith N. Braskie
- Imaging Genetics Center, Stevens Neuroimaging and Informatics InstituteKeck School of Medicine, USCLos AngelesCaliforniaUSA
| | - Bradley Christian
- Waisman Center, Departments of Physics and PsychiatryUniversity of Wisconsin MadisonMadisonWisconsinUSA
| | - James R. Hall
- Institute for Translational ResearchUniversity of North Texas Health Science CenterFort WorthTexasUSA
- Department of Pharmacology and NeuroscienceUniversity of North Texas Health Science CenterFort WorthTexasUSA
| | - Nalini Hazra
- Imaging Genetics Center, Stevens Neuroimaging and Informatics InstituteKeck School of Medicine, USCLos AngelesCaliforniaUSA
| | - Kevin King
- Department of NeuroradiologyBarrow Neurological InstitutePhoenixArizonaUSA
| | - Deydeep Kothapalli
- Imaging Genetics Center, Stevens Neuroimaging and Informatics InstituteKeck School of Medicine, USCLos AngelesCaliforniaUSA
| | - Stephanie Large
- Institute for Translational ResearchUniversity of North Texas Health Science CenterFort WorthTexasUSA
- Department of Pharmacology and NeuroscienceUniversity of North Texas Health Science CenterFort WorthTexasUSA
| | - David Mason
- Department of Family MedicineUniversity of North Texas Health Science CenterFort WorthTexasUSA
| | - Elizabeth Matsiyevskiy
- Imaging Genetics Center, Stevens Neuroimaging and Informatics InstituteKeck School of Medicine, USCLos AngelesCaliforniaUSA
| | - Roderick McColl
- Department of RadiologyUT Southwestern Medical CenterDallasTexasUSA
| | - Rajesh Nandy
- Institute for Translational ResearchUniversity of North Texas Health Science CenterFort WorthTexasUSA
- Department of Biostatistics & EpidemiologyUniversity of North Texas Health Science CenterFort WorthTexasUSA
| | - Raymond Palmer
- Department of Family Practice and Community Medicine, Joe R & Teresa Lozano Long School of MedicineThe University of Texas Health Science Center at San AntonioSan AntonioTexasUSA
| | - Melissa Petersen
- Institute for Translational ResearchUniversity of North Texas Health Science CenterFort WorthTexasUSA
- Department of Family MedicineUniversity of North Texas Health Science CenterFort WorthTexasUSA
| | - Nicole Philips
- Institute for Translational ResearchUniversity of North Texas Health Science CenterFort WorthTexasUSA
- Department of Pharmacology and NeuroscienceUniversity of North Texas Health Science CenterFort WorthTexasUSA
| | - Robert A. Rissman
- Department of NeurosciencesUniversity of CaliforniaSan Diego, La JollaCaliforniaUSA
- Veterans Affairs San Diego Healthcare SystemSan DiegoCaliforniaUSA
| | - Yonggang Shi
- Laboratory of Neuro Imaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USCUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
| | - Arthur W. Toga
- Laboratory of Neuro Imaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USCUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
| | - Raul Vintimilla
- Institute for Translational ResearchUniversity of North Texas Health Science CenterFort WorthTexasUSA
- Department of Pharmacology and NeuroscienceUniversity of North Texas Health Science CenterFort WorthTexasUSA
| | - Rocky Vig
- Imaging, Midtown Medical ImagingFort WorthTexasUSA
| | - Fan Zhang
- Institute for Translational ResearchUniversity of North Texas Health Science CenterFort WorthTexasUSA
- Department of Family MedicineUniversity of North Texas Health Science CenterFort WorthTexasUSA
| | - Kristine Yaffe
- Department of Psychiatry, Neurology, and Epidemiology and BiostatisticsUniversity of CaliforniaSan FranciscoCaliforniaUSA
- San Francisco VA Medical CenterSan FranciscoCaliforniaUSA
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20
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Pathak GA, Wendt FR, De Lillo A, Nunez YZ, Goswami A, De Angelis F, Fuciarelli M, Kranzler HR, Gelernter J, Polimanti R. Epigenomic Profiles of African-American Transthyretin Val122Ile Carriers Reveals Putatively Dysregulated Amyloid Mechanisms. CIRCULATION-GENOMIC AND PRECISION MEDICINE 2021; 14:e003011. [PMID: 33428857 DOI: 10.1161/circgen.120.003011] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND The Val122Ile mutation in Transthyretin (TTR) gene causes a rare, difficult to diagnose hereditary form of cardiac amyloidosis. This mutation is most common in the United States and mainly present in people of African descent. The carriers have an increased risk of congestive heart failure, peripheral edema, and several other noncardiac phenotypes such as carpal tunnel syndrome, and arthroplasty which are top reasons for ambulatory/outpatient surgeries (OSs) in the country. METHODS We conducted first-ever epigenome-wide association study using the Illumina's EPIC array, in Val122Ile carriers of African descent for heart disease and multiple OSs-an early disease indicator. Differential methylation across genome wide cytosine-phosphate guanine (CpG) sites was tested between carriers with and without heart disease and OS. Significant CpG sites were investigated for cis-mQTLs loci, followed by gene ontology and protein-protein interaction network. We also investigated the significant CpG sites in a secondary cohort of carriers for replication. RESULTS Five differentially methylated sites (P≤2.1×10-8) in genes-FAM129B, SKI, WDR27, GLS, and an intergenic site near RP11-550A5.2, and one differentially methylated region containing KCNA6 and GALNT3 (P=1.1×10-12) were associated with heart disease. For OS, we observe 4 sites-2 sites in UBE2E3 and SEC14L5, and other 2 in intergenic regions (P≤1.8×10-7) and 3 regions overlapping SH3D21, EVA1B, LTB4R2, and CIDEB (P≤3.9×10-7). Functional protein-interaction module analysis identified ABCA1 (P=0.001) for heart disease. Six cis-mQTLs were associated with one of the significant CpG sites (FAM129B; P=4.1×10-24). We replicated 2 CpG sites (cg18546846 and cg06641417; P<0.05) in an external cohort of biopsy-confirmed cases of TTR (transthyretin) amyloidosis. The genes identified are involved in transport and clearance of amyloid deposits (GLS, ABCA1, FAM129B); cardiac fibrosis (SKI); and muscle tissue regulation (SKI, FAM129B). CONCLUSIONS These findings highlight the link between a complex amyloid circuit and diverse symptoms of Val122Ile.
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Affiliation(s)
- Gita A Pathak
- Department of Psychiatry, Yale School of Medicine, Yale University, New Haven (G.A.P., F.R.W., Y.Z.N., A.G., F.D.A., J.G., R.P.).,Veteran Affairs Connecticut Healthcare System, West Haven, CT (G.A.P., F.R.W., Y.Z.N., A.G., F.D.A., J.G., R.P.)
| | - Frank R Wendt
- Department of Psychiatry, Yale School of Medicine, Yale University, New Haven (G.A.P., F.R.W., Y.Z.N., A.G., F.D.A., J.G., R.P.).,Veteran Affairs Connecticut Healthcare System, West Haven, CT (G.A.P., F.R.W., Y.Z.N., A.G., F.D.A., J.G., R.P.)
| | - Antonella De Lillo
- Department of Biology, University of Rome Tor Vergata, Italy (A.D.L., F.D.A., M.F.)
| | - Yaira Z Nunez
- Department of Psychiatry, Yale School of Medicine, Yale University, New Haven (G.A.P., F.R.W., Y.Z.N., A.G., F.D.A., J.G., R.P.).,Veteran Affairs Connecticut Healthcare System, West Haven, CT (G.A.P., F.R.W., Y.Z.N., A.G., F.D.A., J.G., R.P.)
| | - Aranyak Goswami
- Department of Psychiatry, Yale School of Medicine, Yale University, New Haven (G.A.P., F.R.W., Y.Z.N., A.G., F.D.A., J.G., R.P.).,Veteran Affairs Connecticut Healthcare System, West Haven, CT (G.A.P., F.R.W., Y.Z.N., A.G., F.D.A., J.G., R.P.)
| | - Flavio De Angelis
- Department of Psychiatry, Yale School of Medicine, Yale University, New Haven (G.A.P., F.R.W., Y.Z.N., A.G., F.D.A., J.G., R.P.).,Veteran Affairs Connecticut Healthcare System, West Haven, CT (G.A.P., F.R.W., Y.Z.N., A.G., F.D.A., J.G., R.P.).,Department of Biology, University of Rome Tor Vergata, Italy (A.D.L., F.D.A., M.F.)
| | - Maria Fuciarelli
- Department of Biology, University of Rome Tor Vergata, Italy (A.D.L., F.D.A., M.F.)
| | - Henry R Kranzler
- University of Pennsylvania Perelman School of Medicine and VISN 4 MIRECC, Crescenz VAMC, Philadelphia (H.R.K.)
| | - Joel Gelernter
- Department of Psychiatry, Yale School of Medicine, Yale University, New Haven (G.A.P., F.R.W., Y.Z.N., A.G., F.D.A., J.G., R.P.).,Veteran Affairs Connecticut Healthcare System, West Haven, CT (G.A.P., F.R.W., Y.Z.N., A.G., F.D.A., J.G., R.P.)
| | - Renato Polimanti
- Department of Psychiatry, Yale School of Medicine, Yale University, New Haven (G.A.P., F.R.W., Y.Z.N., A.G., F.D.A., J.G., R.P.).,Veteran Affairs Connecticut Healthcare System, West Haven, CT (G.A.P., F.R.W., Y.Z.N., A.G., F.D.A., J.G., R.P.)
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21
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Gao R, Chen C, Zhao Q, Li M, Wang Q, Zhou L, Chen E, Chen H, Zhang Y, Cai X, Liu C, Cheng X, Zhang S, Mao X, Qiu Y, Gan L, Yu H, Liu J, Zhu T. Identification of the Potential Key Circular RNAs in Elderly Patients With Postoperative Cognitive Dysfunction. Front Aging Neurosci 2020; 12:165. [PMID: 32655392 PMCID: PMC7324535 DOI: 10.3389/fnagi.2020.00165] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2019] [Accepted: 05/13/2020] [Indexed: 02/05/2023] Open
Abstract
Background Postoperative cognitive dysfunction (POCD) is one of the severe complications after surgery, inducing low life quality and high mortality, especially in elderly patients. However, the underlying molecular mechanism of POCD remains largely unknown, and the ideal biomarker for clinical diagnosis and prognosis is lacking. Circular RNAs (circRNAs), as a unique class of non-coding RNAs, were characterized by its stability and conservativeness, serving as novel biomarkers in various diseases. Nevertheless, the role of circRNAs in the occurrence of POCD remains elusive. Methods To investigate the differentially expressed circRNAs in the serum of POCD patients and its potential role in the development of POCD, we performed a circRNA microarray to screen the differentially expressed circRNAs in the serum samples from three patients of the POCD group and three paired patients of the non-POCD group. Subsequently, quantitative real-time polymerase chain reaction analysis (qRT-PCR) was utilized to verify the microarray data with the serum samples from 10 paired patients. Cytoscape software was used to construct the circRNA–miRNA–mRNA network for circRNAs with different expression levels as well as the target genes. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses showed the biological functions of the differentially expressed circRNAs target genes. Results In total, we have analyzed 10,198 circRNAs through the microarray. Compared with the non-POCD patient group, there were 210 differentially expressed circRNAs with 133 upregulated and 77 downregulated in the POCD group (≥2-fold differential expression, P ≤ 0.05). The qRT-PCR confirmed 10 circRNAs with different expressed levels, and the results were consistent with the microarray findings. Among them, hsa_circRNA_001145, hsa_circRNA_101138, and hsa_circRNA_061570 had the highest magnitude of change. The GO analysis showed that the differentially expressed circRNAs were associated with the regulation of the developmental process, cell-to-cell adhesion, and nervous system development. The KEGG analysis showed that the target genes of circRNAs were enriched in the MAPK signaling pathway and RAS signaling pathway. According to the targetscan7.1 and mirdbV5 databases, the circRNA–miRNA–mRNA network was constructed, and these results provided a vital landscape of circRNA expression profile in POCD. Conclusions Our study provides an essential perspective for the differential expression of circRNAs in POCD patients. Further studies need to be performed to explore their potential therapeutic roles in the development of POCD.
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Affiliation(s)
- Rui Gao
- Department of Anesthesiology and Translational Neuroscience Center, West China Hospital, Sichuan University, Chengdu, China
| | - Chan Chen
- Department of Anesthesiology and Translational Neuroscience Center, West China Hospital, Sichuan University, Chengdu, China
| | - Qi Zhao
- Department of Anesthesiology and Translational Neuroscience Center, West China Hospital, Sichuan University, Chengdu, China
| | - Ming Li
- Department of Anesthesiology and Translational Neuroscience Center, West China Hospital, Sichuan University, Chengdu, China
| | - Qiao Wang
- Department of Anesthesiology and Translational Neuroscience Center, West China Hospital, Sichuan University, Chengdu, China
| | - Lu Zhou
- Department of Anesthesiology and Translational Neuroscience Center, West China Hospital, Sichuan University, Chengdu, China
| | - Erya Chen
- Department of Anesthesiology and Translational Neuroscience Center, West China Hospital, Sichuan University, Chengdu, China
| | - Hai Chen
- Department of Anesthesiology and Translational Neuroscience Center, West China Hospital, Sichuan University, Chengdu, China
| | - Yue Zhang
- Department of Anesthesiology and Translational Neuroscience Center, West China Hospital, Sichuan University, Chengdu, China
| | - Xingwei Cai
- Department of Anesthesiology and Translational Neuroscience Center, West China Hospital, Sichuan University, Chengdu, China
| | - Changliang Liu
- Department of Anesthesiology and Translational Neuroscience Center, West China Hospital, Sichuan University, Chengdu, China
| | - Xu Cheng
- Department of Anesthesiology and Translational Neuroscience Center, West China Hospital, Sichuan University, Chengdu, China
| | - Shu Zhang
- Department of Emergency Medicine, West China Hospital, Sichuan University, Chengdu, China
| | - Xiaobo Mao
- Department of Neurology, Institute of Cell Engineering, School of Medicine, Johns Hopkins University, Baltimore, MD, United States
| | - Yanhua Qiu
- Department of Anesthesiology and Translational Neuroscience Center, West China Hospital, Sichuan University, Chengdu, China
| | - Lu Gan
- Department of Anesthesiology and Translational Neuroscience Center, West China Hospital, Sichuan University, Chengdu, China
| | - Hai Yu
- Department of Anesthesiology and Translational Neuroscience Center, West China Hospital, Sichuan University, Chengdu, China
| | - Jin Liu
- Department of Anesthesiology and Translational Neuroscience Center, West China Hospital, Sichuan University, Chengdu, China
| | - Tao Zhu
- Department of Anesthesiology and Translational Neuroscience Center, West China Hospital, Sichuan University, Chengdu, China
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22
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Shen R, Zhao X, He L, Ding Y, Xu W, Lin S, Fang S, Yang W, Sung K, Spencer B, Rissman RA, Lei M, Ding J, Wu C. Upregulation of RIN3 induces endosomal dysfunction in Alzheimer's disease. Transl Neurodegener 2020; 9:26. [PMID: 32552912 PMCID: PMC7301499 DOI: 10.1186/s40035-020-00206-1] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2019] [Accepted: 06/01/2020] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND In Alzheimer's Disease (AD), about one-third of the risk genes identified by GWAS encode proteins that function predominantly in the endocytic pathways. Among them, the Ras and Rab Interactor 3(RIN3) is a guanine nucleotide exchange factor (GEF) for the Rab5 small GTPase family and has been implicated to be a risk factor for both late onset AD (LOAD) and sporadic early onset AD (sEOAD). However, how RIN3 is linked to AD pathogenesis is currently undefined. METHODS Quantitative PCR and immunoblotting were used to measure the RIN3 expression level in mouse brain tissues and cultured basal forebrain cholinergic neuron (BFCNs). Immunostaining was used to define subcellular localization of RIN3 and to visualize endosomal changes in cultured primary BFCNs and PC12 cells. Recombinant flag-tagged RIN3 protein was purified from HEK293T cells and was used to define RIN3-interactomes by mass spectrometry. RIN3-interacting partners were validated by co-immunoprecipitation, immunofluorescence and yeast two hybrid assays. Live imaging of primary neurons was used to examine axonal transport of amyloid precursor protein (APP) and β-secretase 1 (BACE1). Immunoblotting was used to detect protein expression, processing of APP and phosphorylated forms of Tau. RESULTS We have shown that RIN3 mRNA level was significantly increased in the hippocampus and cortex of APP/PS1 mouse brain. Basal forebrain cholinergic neurons (BFCNs) cultured from E18 APP/PS1 mouse embryos also showed increased RIN3 expression accompanied by early endosome enlargement. In addition, via its proline rich domain, RIN3 recruited BIN1(bridging integrator 1) and CD2AP (CD2 associated protein), two other AD risk factors, to early endosomes. Interestingly, overexpression of RIN3 or CD2AP promoted APP cleavage to increase its carboxyl terminal fragments (CTFs) in PC12 cells. Upregulation of RIN3 or the neuronal isoform of BIN1 increased phosphorylated Tau level. Therefore, upregulation of RIN3 expression promoted accumulation of APP CTFs and increased phosphorylated Tau. These effects by RIN3 was rescued by the expression of a dominant negative Rab5 (Rab5S34N) construct. Our study has thus pointed to that RIN3 acts through Rab5 to impact endosomal trafficking and signaling. CONCLUSION RIN3 is significantly upregulated and correlated with endosomal dysfunction in APP/PS1 mouse. Through interacting with BIN1 and CD2AP, increased RIN3 expression alters axonal trafficking and procession of APP. Together with our previous studies, our current work has thus provided important insights into the role of RIN3 in regulating endosomal signaling and trafficking.
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Affiliation(s)
- Ruinan Shen
- Institute of Neurology, Ruijing Hospital, Shanghai JiaoTong University School of Medicine, 197 Ruijin Er Rd., Shanghai, 200025, China.,Department of Neurosciences, University of California San Diego School of Medicine, Room 312 MC-0624,9500 Gilman Drive, La Jolla, CA, 92093-0624, USA
| | - Xiaobei Zhao
- Department of Neurosciences, University of California San Diego School of Medicine, Room 312 MC-0624,9500 Gilman Drive, La Jolla, CA, 92093-0624, USA
| | - Lu He
- Institute of Neurology, Ruijing Hospital, Shanghai JiaoTong University School of Medicine, 197 Ruijin Er Rd., Shanghai, 200025, China
| | - Yongbo Ding
- Shanghai Institute of Precision Medicine, Shanghai, 200125, China
| | - Wei Xu
- Institute of Neurology, Ruijing Hospital, Shanghai JiaoTong University School of Medicine, 197 Ruijin Er Rd., Shanghai, 200025, China.,Department of Neurosciences, University of California San Diego School of Medicine, Room 312 MC-0624,9500 Gilman Drive, La Jolla, CA, 92093-0624, USA
| | - Suzhen Lin
- Institute of Neurology, Ruijing Hospital, Shanghai JiaoTong University School of Medicine, 197 Ruijin Er Rd., Shanghai, 200025, China.,Department of Neurosciences, University of California San Diego School of Medicine, Room 312 MC-0624,9500 Gilman Drive, La Jolla, CA, 92093-0624, USA
| | - Savannah Fang
- Department of Neurosciences, University of California San Diego School of Medicine, Room 312 MC-0624,9500 Gilman Drive, La Jolla, CA, 92093-0624, USA
| | - Wanlin Yang
- Institute of Neurology, Ruijing Hospital, Shanghai JiaoTong University School of Medicine, 197 Ruijin Er Rd., Shanghai, 200025, China.,Department of Neurosciences, University of California San Diego School of Medicine, Room 312 MC-0624,9500 Gilman Drive, La Jolla, CA, 92093-0624, USA.,Department of Neurology, Zhuijiang Hospital, Southern Medical University, Guangzhou, China
| | - Kijung Sung
- Department of Neurosciences, University of California San Diego School of Medicine, Room 312 MC-0624,9500 Gilman Drive, La Jolla, CA, 92093-0624, USA
| | - Brian Spencer
- Department of Neurosciences, University of California San Diego School of Medicine, Room 312 MC-0624,9500 Gilman Drive, La Jolla, CA, 92093-0624, USA
| | - Robert A Rissman
- Department of Neurosciences, University of California San Diego School of Medicine, Room 312 MC-0624,9500 Gilman Drive, La Jolla, CA, 92093-0624, USA.,San Diego VA Health System, San Diego, CA, USA
| | - Ming Lei
- Shanghai Institute of Precision Medicine, Shanghai, 200125, China
| | - Jianqing Ding
- Institute of Neurology, Ruijing Hospital, Shanghai JiaoTong University School of Medicine, 197 Ruijin Er Rd., Shanghai, 200025, China.
| | - Chengbiao Wu
- Department of Neurosciences, University of California San Diego School of Medicine, Room 312 MC-0624,9500 Gilman Drive, La Jolla, CA, 92093-0624, USA.
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