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Li JZ, Ramalingam N, Li S. Targeting epigenetic mechanisms in amyloid-β-mediated Alzheimer's pathophysiology: unveiling therapeutic potential. Neural Regen Res 2025; 20:54-66. [PMID: 38767476 PMCID: PMC11246147 DOI: 10.4103/nrr.nrr-d-23-01827] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Accepted: 02/07/2024] [Indexed: 05/22/2024] Open
Abstract
Alzheimer's disease is a prominent chronic neurodegenerative condition characterized by a gradual decline in memory leading to dementia. Growing evidence suggests that Alzheimer's disease is associated with accumulating various amyloid-β oligomers in the brain, influenced by complex genetic and environmental factors. The memory and cognitive deficits observed during the prodromal and mild cognitive impairment phases of Alzheimer's disease are believed to primarily result from synaptic dysfunction. Throughout life, environmental factors can lead to enduring changes in gene expression and the emergence of brain disorders. These changes, known as epigenetic modifications, also play a crucial role in regulating the formation of synapses and their adaptability in response to neuronal activity. In this context, we highlight recent advances in understanding the roles played by key components of the epigenetic machinery, specifically DNA methylation, histone modification, and microRNAs, in the development of Alzheimer's disease, synaptic function, and activity-dependent synaptic plasticity. Moreover, we explore various strategies, including enriched environments, exposure to non-invasive brain stimulation, and the use of pharmacological agents, aimed at improving synaptic function and enhancing long-term potentiation, a process integral to epigenetic mechanisms. Lastly, we deliberate on the development of effective epigenetic agents and safe therapeutic approaches for managing Alzheimer's disease. We suggest that addressing Alzheimer's disease may require distinct tailored epigenetic drugs targeting different disease stages or pathways rather than relying on a single drug.
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Affiliation(s)
- Jennie Z Li
- Ann Romney Center for Neurologic Diseases, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
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2
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Meng L, Jin H, Yulug B, Altay O, Li X, Hanoglu L, Cankaya S, Coskun E, Idil E, Nogaylar R, Ozsimsek A, Shoaie S, Turkez H, Nielsen J, Zhang C, Borén J, Uhlén M, Mardinoglu A. Multi-omics analysis reveals the key factors involved in the severity of the Alzheimer's disease. Alzheimers Res Ther 2024; 16:213. [PMID: 39358810 PMCID: PMC11448018 DOI: 10.1186/s13195-024-01578-6] [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: 02/26/2024] [Accepted: 09/22/2024] [Indexed: 10/04/2024]
Abstract
Alzheimer's disease (AD) is a debilitating neurodegenerative disorder with a global impact, yet its pathogenesis remains poorly understood. While age, metabolic abnormalities, and accumulation of neurotoxic substances are potential risk factors for AD, their effects are confounded by other factors. To address this challenge, we first utilized multi-omics data from 87 well phenotyped AD patients and generated plasma proteomics and metabolomics data, as well as gut and saliva metagenomics data to investigate the molecular-level alterations accounting the host-microbiome interactions. Second, we analyzed individual omics data and identified the key parameters involved in the severity of the dementia in AD patients. Next, we employed Artificial Intelligence (AI) based models to predict AD severity based on the significantly altered features identified in each omics analysis. Based on our integrative analysis, we found the clinical relevance of plasma proteins, including SKAP1 and NEFL, plasma metabolites including homovanillate and glutamate, and Paraprevotella clara in gut microbiome in predicting the AD severity. Finally, we validated the predictive power of our AI based models by generating additional multi-omics data from the same group of AD patients by following up for 3 months. Hence, we observed that these results may have important implications for the development of potential diagnostic and therapeutic approaches for AD patients.
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Affiliation(s)
- Lingqi Meng
- Science for Life Laboratory, KTH - Royal Institute of Technology, Stockholm, Sweden
| | - Han Jin
- Science for Life Laboratory, KTH - Royal Institute of Technology, Stockholm, Sweden
| | - Burak Yulug
- Department of Neurology and Neuroscience, Faculty of Medicine, Alanya Alaaddin Keykubat University, Antalya, Turkey
| | - Ozlem Altay
- Science for Life Laboratory, KTH - Royal Institute of Technology, Stockholm, Sweden
| | - Xiangyu Li
- Science for Life Laboratory, KTH - Royal Institute of Technology, Stockholm, Sweden
| | - Lutfu Hanoglu
- Department of Neurology, Faculty of Medicine, Istanbul Medipol University, Istanbul, Turkey
| | - Seyda Cankaya
- Department of Neurology and Neuroscience, Faculty of Medicine, Alanya Alaaddin Keykubat University, Antalya, Turkey
| | - Ebru Coskun
- Department of Neurology, Faculty of Medicine, Istanbul Medipol University, Istanbul, Turkey
| | - Ezgi Idil
- Department of Neurology and Neuroscience, Faculty of Medicine, Alanya Alaaddin Keykubat University, Antalya, Turkey
| | - Rahim Nogaylar
- Department of Neurology and Neuroscience, Faculty of Medicine, Alanya Alaaddin Keykubat University, Antalya, Turkey
| | - Ahmet Ozsimsek
- Department of Neurology and Neuroscience, Faculty of Medicine, Alanya Alaaddin Keykubat University, Antalya, Turkey
| | - Saeed Shoaie
- Centre for Host-Microbiome Interaction's, Faculty of Dentistry, Oral & Craniofacial Sciences, King's College London, London, UK
| | - Hasan Turkez
- Department of Medical Biology, Faculty of Medicine, Atatürk University, Erzurum, Turkey
| | - Jens Nielsen
- Department of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden
| | - Cheng Zhang
- Science for Life Laboratory, KTH - Royal Institute of Technology, Stockholm, Sweden
| | - Jan Borén
- Department of Molecular and Clinical Medicine, University of Gothenburg and Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Mathias Uhlén
- Science for Life Laboratory, KTH - Royal Institute of Technology, Stockholm, Sweden.
| | - Adil Mardinoglu
- Science for Life Laboratory, KTH - Royal Institute of Technology, Stockholm, Sweden.
- Centre for Host-Microbiome Interaction's, Faculty of Dentistry, Oral & Craniofacial Sciences, King's College London, London, UK.
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3
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Ballard JL, Wang Z, Li W, Shen L, Long Q. Deep learning-based approaches for multi-omics data integration and analysis. BioData Min 2024; 17:38. [PMID: 39358793 PMCID: PMC11446004 DOI: 10.1186/s13040-024-00391-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2024] [Accepted: 09/06/2024] [Indexed: 10/04/2024] Open
Abstract
BACKGROUND The rapid growth of deep learning, as well as the vast and ever-growing amount of available data, have provided ample opportunity for advances in fusion and analysis of complex and heterogeneous data types. Different data modalities provide complementary information that can be leveraged to gain a more complete understanding of each subject. In the biomedical domain, multi-omics data includes molecular (genomics, transcriptomics, proteomics, epigenomics, metabolomics, etc.) and imaging (radiomics, pathomics) modalities which, when combined, have the potential to improve performance on prediction, classification, clustering and other tasks. Deep learning encompasses a wide variety of methods, each of which have certain strengths and weaknesses for multi-omics integration. METHOD In this review, we categorize recent deep learning-based approaches by their basic architectures and discuss their unique capabilities in relation to one another. We also discuss some emerging themes advancing the field of multi-omics integration. RESULTS Deep learning-based multi-omics integration methods were categorized broadly into non-generative (feedforward neural networks, graph convolutional neural networks, and autoencoders) and generative (variational methods, generative adversarial models, and a generative pretrained model). Generative methods have the advantage of being able to impose constraints on the shared representations to enforce certain properties or incorporate prior knowledge. They can also be used to generate or impute missing modalities. Recent advances achieved by these methods include the ability to handle incomplete data as well as going beyond the traditional molecular omics data types to integrate other modalities such as imaging data. CONCLUSION We expect to see further growth in methods that can handle missingness, as this is a common challenge in working with complex and heterogeneous data. Additionally, methods that integrate more data types are expected to improve performance on downstream tasks by capturing a comprehensive view of each sample.
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Affiliation(s)
- Jenna L Ballard
- Graduate Group in Genomics and Computational Biology, Perelman School of Medicine, University of Pennsylvania, 3700 Hamilton Walk, Philadelphia, PA, 19104, USA.
| | - Zexuan Wang
- Graduate Group in Applied Mathematics and Computational Science, University of Pennsylvania, 209 S. 33rd Street, Philadelphia, PA, 19104, USA
| | - Wenrui Li
- Department of Statistics, University of Connecticut, 215 Glenbrook Road, Storrs, CT, 06269, USA
| | - Li Shen
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, 423 Guardian Drive, Philadelphia, PA, 19104, USA.
| | - Qi Long
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, 423 Guardian Drive, Philadelphia, PA, 19104, USA.
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LeVine SM. The Azalea Hypothesis of Alzheimer Disease: A Functional Iron Deficiency Promotes Neurodegeneration. Neuroscientist 2024; 30:525-544. [PMID: 37599439 PMCID: PMC10876915 DOI: 10.1177/10738584231191743] [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] [Indexed: 08/22/2023]
Abstract
Chlorosis in azaleas is characterized by an interveinal yellowing of leaves that is typically caused by a deficiency of iron. This condition is usually due to the inability of cells to properly acquire iron as a consequence of unfavorable conditions, such as an elevated pH, rather than insufficient iron levels. The causes and effects of chlorosis were found to have similarities with those pertaining to a recently presented hypothesis that describes a pathogenic process in Alzheimer disease. This hypothesis states that iron becomes sequestered (e.g., by amyloid β and tau), causing a functional deficiency of iron that disrupts biochemical processes leading to neurodegeneration. Additional mechanisms that contribute to iron becoming unavailable include iron-containing structures not undergoing proper recycling (e.g., disrupted mitophagy and altered ferritinophagy) and failure to successfully translocate iron from one compartment to another (e.g., due to impaired lysosomal acidification). Other contributors to a functional deficiency of iron in patients with Alzheimer disease include altered metabolism of heme or altered production of iron-containing proteins and their partners (e.g., subunits, upstream proteins). A review of the evidence supporting this hypothesis is presented. Also, parallels between the mechanisms underlying a functional iron-deficient state in Alzheimer disease and those occurring for chlorosis in plants are discussed. Finally, a model describing the generation of a functional iron deficiency in Alzheimer disease is put forward.
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Affiliation(s)
- Steven M. LeVine
- Department of Cell Biology and Physiology, University of Kansas Medical Center, Kansas City, KS, US
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Schuller A, Oakes J, LaRocca T, Matz J, Eden M, Bellini C, Montrose L. Robust differential gene expression patterns in the prefrontal cortex of male mice exposed to an occupationally relevant dose of laboratory-generated wildfire smoke. Toxicol Sci 2024; 201:300-310. [PMID: 39107885 PMCID: PMC11424885 DOI: 10.1093/toxsci/kfae097] [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] [Indexed: 09/27/2024] Open
Abstract
Wildfires have become common global phenomena concurrent with warmer and drier climates and are now major contributors to ambient air pollution worldwide. Exposure to wildfire smoke has been classically associated with adverse cardiopulmonary health outcomes, especially in vulnerable populations. Recent work has expanded our understanding of wildfire smoke toxicology to include effects on the central nervous system and reproductive function; however, the neurotoxic profile of this toxicant remains ill-explored in an occupational context. Here, we sought to address this by using RNA sequencing to examine transcriptomic signatures in the prefrontal cortex of male mice modeling career wildland firefighter smoke exposure. We report robust changes in gene expression profiles between smoke-exposed samples and filtered air controls, evidenced by 2,862 differentially expressed genes (51.2% increased). We further characterized the functional relevance of these genes highlighting enriched pathways related to synaptic transmission, neuroplasticity, blood-brain barrier integrity, and neurotransmitter metabolism. Additionally, we identified possible contributors to these alterations through protein-protein interaction network mapping, which revealed a central node at ß-catenin and secondary hubs centered around mitochondrial oxidases, the Wnt signaling pathway, and gene expression machinery. The data reported here will serve as the foundation for future experiments aiming to characterize the phenotypic effects and mechanistic underpinnings of occupational wildfire smoke neurotoxicology.
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Affiliation(s)
- Adam Schuller
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO 80523, United States
| | - Jessica Oakes
- Department of Bioengineering, Northeastern University, Boston, MA 02120, United States
| | - Tom LaRocca
- Department of Health and Exercise Science, Colorado State University, Fort Collins, CO 80523, United States
| | - Jacqueline Matz
- Department of Bioengineering, Northeastern University, Boston, MA 02120, United States
| | - Matthew Eden
- Department of Bioengineering, Northeastern University, Boston, MA 02120, United States
| | - Chiara Bellini
- Department of Bioengineering, Northeastern University, Boston, MA 02120, United States
| | - Luke Montrose
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO 80523, United States
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Xiao H, Wang J, Wan S. WIMOAD: Weighted Integration of Multi-Omics data for Alzheimer's Disease (AD) Diagnosis. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.09.25.614862. [PMID: 39386613 PMCID: PMC11463407 DOI: 10.1101/2024.09.25.614862] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 10/12/2024]
Abstract
As the most common subtype of dementia, Alzheimer's disease (AD) is characterized by a progressive decline in cognitive functions, especially in memory, thinking, and reasoning ability. Early diagnosis and interventions enable the implementation of measures to reduce or slow further regression of the disease, preventing individuals from severe brain function decline. The current framework of AD diagnosis depends on A/T/(N) biomarkers detection from cerebrospinal fluid or brain imaging data, which is invasive and expensive during the data acquisition process. Moreover, the pathophysiological changes of AD accumulate in amino acids, metabolism, neuroinflammation, etc., resulting in heterogeneity in newly registered patients. Recently, next generation sequencing (NGS) technologies have found to be a non-invasive, efficient and less-costly alternative on AD screening. However, most of existing studies rely on single omics only. To address these concerns, we introduce WIMOAD, a weighted integration of multi-omics data for AD diagnosis. WIMOAD synergistically leverages specialized classifiers for patients' paired gene expression and methylation data for multi-stage classification. The resulting scores were then stacked with MLP-based meta-models for performance improvement. The prediction results of two distinct meta-models were integrated with optimized weights for the final decision-making of the model, providing higher performance than using single omics only. Remarkably, WIMOAD achieves significantly higher performance than using single omics alone in the classification tasks. The model's overall performance also outperformed most existing approaches, highlighting its ability to effectively discern intricate patterns in multi-omics data and their correlations with clinical diagnosis results. In addition, WIMOAD also stands out as a biologically interpretable model by leveraging the SHapley Additive exPlanations (SHAP) to elucidate the contributions of each gene from each omics to the model output. We believe WIMOAD is a very promising tool for accurate AD diagnosis and effective biomarker discovery across different progression stages, which eventually will have consequential impacts on early treatment intervention and personalized therapy design on AD.
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Xie J, Yu Z, Zhu Y, Zheng M, Zhu Y. Functions of Coenzyme A and Acyl-CoA in Post-Translational Modification and Human Disease. FRONT BIOSCI-LANDMRK 2024; 29:331. [PMID: 39344325 DOI: 10.31083/j.fbl2909331] [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: 12/02/2023] [Revised: 05/24/2024] [Accepted: 07/17/2024] [Indexed: 10/01/2024]
Abstract
Coenzyme A (CoA) is synthesized from pantothenate, L-cysteine and adenosine triphosphate (ATP), and plays a vital role in diverse physiological processes. Protein acylation is a common post-translational modification (PTM) that modifies protein structure, function and interactions. It occurs via the transfer of acyl groups from acyl-CoAs to various amino acids by acyltransferase. The characteristics and effects of acylation vary according to the origin, structure, and location of the acyl group. Acetyl-CoA, formyl-CoA, lactoyl-CoA, and malonyl-CoA are typical acyl group donors. The major acyl donor, acyl-CoA, enables modifications that impart distinct biological functions to both histone and non-histone proteins. These modifications are crucial for regulating gene expression, organizing chromatin, managing metabolism, and modulating the immune response. Moreover, CoA and acyl-CoA play significant roles in the development and progression of neurodegenerative diseases, cancer, cardiovascular diseases, and other health conditions. The goal of this review was to systematically describe the types of commonly utilized acyl-CoAs, their functions in protein PTM, and their roles in the progression of human diseases.
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Affiliation(s)
- Jumin Xie
- Hubei Key Laboratory of Renal Disease Occurrence and Intervention, Medical School, Hubei Polytechnic University, 435003 Huangshi, Hubei, China
| | - Zhang Yu
- Hubei Key Laboratory of Renal Disease Occurrence and Intervention, Medical School, Hubei Polytechnic University, 435003 Huangshi, Hubei, China
| | - Ying Zhu
- Hubei Key Laboratory of Renal Disease Occurrence and Intervention, Medical School, Hubei Polytechnic University, 435003 Huangshi, Hubei, China
| | - Mei Zheng
- Hubei Key Laboratory of Renal Disease Occurrence and Intervention, Medical School, Hubei Polytechnic University, 435003 Huangshi, Hubei, China
| | - Yanfang Zhu
- Department of Critical Care Medicine, Huangshi Hospital of TCM (Infectious Disease Hospital), 435003 Huangshi, Hubei, China
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8
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Ning L, Shen R, Xie B, Jiang Y, Geng X, Dong W. AMPA receptors in Alzheimer disease: Pathological changes and potential therapeutic targets. J Neuropathol Exp Neurol 2024:nlae093. [PMID: 39235983 DOI: 10.1093/jnen/nlae093] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/07/2024] Open
Abstract
Alzheimer disease (AD) is a prevalent neurodegenerative disorder that affects synapses and leads to progressive cognitive decline. The role of N-methyl-D-aspartic acid (NMDA) receptors in the pathogenesis of AD is well-established as they contribute to excitotoxicity and neurodegeneration in the pathological process of extrasynaptic glutamate concentration. However, the therapeutic potential of the NMDA receptor antagonist memantine in rescuing synaptic damage is limited. Research indicates that α-amino-3-hydroxy-5-methyl-4-isoxazolepropionate (AMPA) receptors also play a significant role in AD. Abnormal transcription, expression, and localization of AMPA receptors lead to synaptic dysfunction and damage, contributing to early cognitive impairment in AD patients. Understanding the impact of AMPA receptors on AD pathogenesis and exploring the potential for the development of AMPA receptor-targeting drugs are crucial. This review aims to consolidate recent research findings on AMPA receptors in AD, elucidate the current state of AMPA receptor research and lay the foundation for future basic research and drug development.
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Affiliation(s)
- Luying Ning
- Key Laboratory of Medical Electrophysiology, Ministry of Education & Medical Electrophysiological Key Laboratory of Sichuan Province, Institute of Cardiovascular Research, Southwest Medical University, Luzhou, Sichuan, China
| | - Rongjing Shen
- Key Laboratory of Medical Electrophysiology, Ministry of Education & Medical Electrophysiological Key Laboratory of Sichuan Province, Institute of Cardiovascular Research, Southwest Medical University, Luzhou, Sichuan, China
| | - Bingqing Xie
- Laboratory of Neurological Diseases and Brain Function, Institute of Epigenetics and Brain Science, Department of Neurosurgery, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
- Department of Neurosurgery, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
| | - Yong Jiang
- Laboratory of Neurological Diseases and Brain Function, Institute of Epigenetics and Brain Science, Department of Neurosurgery, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
- Department of Neurosurgery, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
| | - Xiaoqi Geng
- Key Laboratory of Medical Electrophysiology, Ministry of Education & Medical Electrophysiological Key Laboratory of Sichuan Province, Institute of Cardiovascular Research, Southwest Medical University, Luzhou, Sichuan, China
- Department of Neurosurgery, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
| | - Wei Dong
- Key Laboratory of Medical Electrophysiology, Ministry of Education & Medical Electrophysiological Key Laboratory of Sichuan Province, Institute of Cardiovascular Research, Southwest Medical University, Luzhou, Sichuan, China
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Chai GS, Gong J, Mao YM, Wu JJ, Bi SG, Wang F, Zhang YQ, Shen MT, Lei ZY, Nie YJ, Yu H. H3K4 Trimethylation Mediate Hyperhomocysteinemia Induced Neurodegeneration via Suppressing Histone Acetylation by ANP32A. Mol Neurobiol 2024; 61:6788-6804. [PMID: 38351418 DOI: 10.1007/s12035-024-03995-y] [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: 12/05/2023] [Accepted: 01/29/2024] [Indexed: 08/22/2024]
Abstract
Homocysteine (Hcy) is an independent and serious risk factor for dementia, including Alzheimer's disease (AD), but the precise mechanisms are still poorly understood. In the current study, we observed that the permissive histone mark trimethyl histone H3 lysine 4 (H3K4me3) and its methyltransferase KMT2B were significantly elevated in hyperhomocysteinemia (HHcy) rats, with impairment of synaptic plasticity and cognitive function. Further research found that histone methylation inhibited synapse-associated protein expression, by suppressing histone acetylation. Inhibiting H3K4me3 by downregulating KMT2B could effectively restore Hcy-inhibited H3K14ace in N2a cells. Moreover, chromatin immunoprecipitation revealed that Hcy-induced H3K4me3 resulted in ANP32A mRNA and protein overexpression in the hippocampus, which was regulated by increased transcription Factor c-fos and inhibited histone acetylation and synapse-associated protein expression, and downregulating ANP32A could reverse these changes in Hcy-treated N2a cells. Additionally, the knockdown of KMT2B restored histone acetylation and synapse-associated proteins in Hcy-treated primary hippocampal neurons. These data have revealed a novel crosstalk mechanism between KMT2B-H3K4me3-ANP32A-H3K14ace, shedding light on its role in Hcy-related neurogenerative disorders.
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Affiliation(s)
- Gao-Shang Chai
- Department of Fundamental Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu, 214122, People's Republic of China.
| | - Juan Gong
- Department of Fundamental Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu, 214122, People's Republic of China
| | - Yu-Ming Mao
- Department of Fundamental Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu, 214122, People's Republic of China
| | - Jia-Jun Wu
- Department of Electrophysiology, Wuhan Children's Hospital (Wuhan Maternal and Children's Healthcare Center), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430010, People's Republic of China
| | - Shu-Guang Bi
- Department of Fundamental Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu, 214122, People's Republic of China
| | - Fangzhou Wang
- Department of Fundamental Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu, 214122, People's Republic of China
| | - Yu-Qi Zhang
- Department of Fundamental Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu, 214122, People's Republic of China
| | - Meng-Ting Shen
- Department of Fundamental Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu, 214122, People's Republic of China
| | - Zhuo-Ya Lei
- Department of Fundamental Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu, 214122, People's Republic of China
| | - Yun-Juan Nie
- Department of Fundamental Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu, 214122, People's Republic of China
| | - Haitao Yu
- Department of Fundamental Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu, 214122, People's Republic of China.
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Lu B, Qiu R, Wei J, Wang L, Zhang Q, Li M, Zhan X, Chen J, Hsieh IY, Yang C, Zhang J, Sun Z, Zhu Y, Jiang T, Zhu H, Li J, Zhao W. Phase separation of phospho-HDAC6 drives aberrant chromatin architecture in triple-negative breast cancer. NATURE CANCER 2024:10.1038/s43018-024-00816-y. [PMID: 39198689 DOI: 10.1038/s43018-024-00816-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/02/2023] [Accepted: 07/30/2024] [Indexed: 09/01/2024]
Abstract
How dysregulated liquid-liquid phase separation (LLPS) contributes to the oncogenesis of female triple-negative breast cancer (TNBC) remains unknown. Here we demonstrate that phosphorylated histone deacetylase 6 (phospho-HDAC6) forms LLPS condensates in the nuclei of TNBC cells that are essential for establishing aberrant chromatin architecture. The disordered N-terminal domain and phosphorylated residue of HDAC6 facilitate effective LLPS, whereas nuclear export regions exert a negative dominant effect. Through phase-separation-based screening, we identified Nexturastat A as a specific disruptor of phospho-HDAC6 condensates, which effectively suppresses tumor growth. Mechanistically, importin-β interacts with phospho-HDAC6, promoting its translocation to the nucleus, where 14-3-3θ mediates the condensate formation. Disruption of phospho-HDAC6 LLPS re-established chromatin compartments and topologically associating domain boundaries, leading to disturbed chromatin loops. The phospho-HDAC6-induced aberrant chromatin architecture affects chromatin accessibility, histone acetylation, RNA polymerase II elongation and transcriptional profiles in TNBC. This study demonstrates phospho-HDAC6 LLPS as an emerging mechanism underlying the dysregulation of chromatin architecture in TNBC.
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Affiliation(s)
- Bing Lu
- Medical Research Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Ru Qiu
- Center for Stem Cell Biology and Tissue Engineering, Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Sun Yat-sen University, Guangzhou, China
| | - Jiatian Wei
- Center for Stem Cell Biology and Tissue Engineering, Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Sun Yat-sen University, Guangzhou, China
| | - Li Wang
- Department of Anesthesiology, Affiliated Hospital of Guilin Medical University, Guilin, China
| | - Qinkai Zhang
- Center for Stem Cell Biology and Tissue Engineering, Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Sun Yat-sen University, Guangzhou, China
| | - Mingsen Li
- Center for Stem Cell Biology and Tissue Engineering, Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Sun Yat-sen University, Guangzhou, China
| | - Xiudan Zhan
- Center for Stem Cell Biology and Tissue Engineering, Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Sun Yat-sen University, Guangzhou, China
| | - Jian Chen
- Center for Stem Cell Biology and Tissue Engineering, Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Sun Yat-sen University, Guangzhou, China
| | - I-Yun Hsieh
- Shunde Hospital (The First People's Hospital of Shunde), Southern Medical University, Foshan, China
| | - Ciqiu Yang
- Department of Breast Cancer, Cancer Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Jing Zhang
- Department of Breast and Thyroid Surgery, Guangzhou Women and Children's Medical Center, Guangzhou, China
| | - Zicheng Sun
- Department of Breast and Thyroid Surgery, Guangzhou Women and Children's Medical Center, Guangzhou, China
| | - Yifan Zhu
- Center for Stem Cell Biology and Tissue Engineering, Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Sun Yat-sen University, Guangzhou, China
| | - Tao Jiang
- Center for Stem Cell Biology and Tissue Engineering, Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Sun Yat-sen University, Guangzhou, China
| | - Han Zhu
- Center for Stem Cell Biology and Tissue Engineering, Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Sun Yat-sen University, Guangzhou, China
| | - Jie Li
- Department of Breast and Thyroid Surgery, Guangzhou Women and Children's Medical Center, Guangzhou, China.
- Department of Thyroid Surgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
| | - Wei Zhao
- Medical Research Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
- Center for Stem Cell Biology and Tissue Engineering, Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Sun Yat-sen University, Guangzhou, China.
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11
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Yoon JH, Lee H, Kwon D, Lee D, Lee S, Cho E, Kim J, Kim D. Integrative approach of omics and imaging data to discover new insights for understanding brain diseases. Brain Commun 2024; 6:fcae265. [PMID: 39165479 PMCID: PMC11334939 DOI: 10.1093/braincomms/fcae265] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Revised: 06/03/2024] [Accepted: 08/07/2024] [Indexed: 08/22/2024] Open
Abstract
Treatments that can completely resolve brain diseases have yet to be discovered. Omics is a novel technology that allows researchers to understand the molecular pathways underlying brain diseases. Multiple omics, including genomics, transcriptomics and proteomics, and brain imaging technologies, such as MRI, PET and EEG, have contributed to brain disease-related therapeutic target detection. However, new treatment discovery remains challenging. We focused on establishing brain multi-molecular maps using an integrative approach of omics and imaging to provide insights into brain disease diagnosis and treatment. This approach requires precise data collection using omics and imaging technologies, data processing and normalization. Incorporating a brain molecular map with the advanced technologies through artificial intelligence will help establish a system for brain disease diagnosis and treatment through regulation at the molecular level.
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Affiliation(s)
- Jong Hyuk Yoon
- Neurodegenerative Diseases Research Group, Korea Brain Research Institute, Daegu 41062, Republic of Korea
| | - Hagyeong Lee
- Neurodegenerative Diseases Research Group, Korea Brain Research Institute, Daegu 41062, Republic of Korea
| | - Dayoung Kwon
- Neurodegenerative Diseases Research Group, Korea Brain Research Institute, Daegu 41062, Republic of Korea
| | - Dongha Lee
- Cognitive Science Research Group, Korea Brain Research Institute, Daegu 41062, Republic of Korea
| | - Seulah Lee
- Neurodegenerative Diseases Research Group, Korea Brain Research Institute, Daegu 41062, Republic of Korea
| | - Eunji Cho
- Neurodegenerative Diseases Research Group, Korea Brain Research Institute, Daegu 41062, Republic of Korea
| | - Jaehoon Kim
- Neurodegenerative Diseases Research Group, Korea Brain Research Institute, Daegu 41062, Republic of Korea
| | - Dayea Kim
- New Drug Development Center, Daegu-Gyeongbuk Medical Innovation Foundation (K-MEDI hub), Daegu 41061, Republic of Korea
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12
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Sun Z, Kwon JS, Ren Y, Chen S, Walker CK, Lu X, Cates K, Karahan H, Sviben S, Fitzpatrick JAJ, Valdez C, Houlden H, Karch CM, Bateman RJ, Sato C, Mennerick SJ, Diamond MI, Kim J, Tanzi RE, Holtzman DM, Yoo AS. Modeling late-onset Alzheimer's disease neuropathology via direct neuronal reprogramming. Science 2024; 385:adl2992. [PMID: 39088624 DOI: 10.1126/science.adl2992] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Accepted: 05/31/2024] [Indexed: 08/03/2024]
Abstract
Late-onset Alzheimer's disease (LOAD) is the most common form of Alzheimer's disease (AD). However, modeling sporadic LOAD that endogenously captures hallmark neuronal pathologies such as amyloid-β (Aβ) deposition, tau tangles, and neuronal loss remains an unmet need. We demonstrate that neurons generated by microRNA (miRNA)-based direct reprogramming of fibroblasts from individuals affected by autosomal dominant AD (ADAD) and LOAD in a three-dimensional environment effectively recapitulate key neuropathological features of AD. Reprogrammed LOAD neurons exhibit Aβ-dependent neurodegeneration, and treatment with β- or γ-secretase inhibitors before (but not subsequent to) Aβ deposit formation mitigated neuronal death. Moreover inhibiting age-associated retrotransposable elements in LOAD neurons reduced both Aβ deposition and neurodegeneration. Our study underscores the efficacy of modeling late-onset neuropathology of LOAD through high-efficiency miRNA-based neuronal reprogramming.
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Affiliation(s)
- Zhao Sun
- Department of Developmental Biology, Washington University School of Medicine, St. Louis, MO 63110, USA
- Center for Regenerative Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA
- Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Ji-Sun Kwon
- Department of Developmental Biology, Washington University School of Medicine, St. Louis, MO 63110, USA
- Program in Computational and Systems Biology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Yudong Ren
- Department of Developmental Biology, Washington University School of Medicine, St. Louis, MO 63110, USA
- Program in Developmental, Regenerative, and Stem Cell Biology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Shawei Chen
- Department of Developmental Biology, Washington University School of Medicine, St. Louis, MO 63110, USA
- Center for Regenerative Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA
- Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Courtney K Walker
- Department of Developmental Biology, Washington University School of Medicine, St. Louis, MO 63110, USA
- Center for Regenerative Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA
- Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Xinguo Lu
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Kitra Cates
- Department of Developmental Biology, Washington University School of Medicine, St. Louis, MO 63110, USA
- Program in Molecular Genetics and Genomics, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Hande Karahan
- Stark Neurosciences Research Institute, Indiana University School of Medicine, Indianapolis, IN 46202, USA
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Sanja Sviben
- Washington University Center for Cellular Imaging, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - James A J Fitzpatrick
- Washington University Center for Cellular Imaging, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Clarissa Valdez
- Center for Alzheimer's and Neurodegenerative Diseases, Peter O'Donnell Jr. Brain Institute, UT Southwestern Medical Center, Dallas, TX 75390, USA
| | - Henry Houlden
- UCL Institute of Neurology, Queen Square, London, WC1N 3BG, UK
| | - Celeste M Karch
- Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, MO 63110, USA
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110, USA
- Knight Alzheimer's Disease Research Center, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Randall J Bateman
- Tracy Family SILQ Center for Neurodegenerative Biology, St. Louis, MO 63110, USA
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Chihiro Sato
- Tracy Family SILQ Center for Neurodegenerative Biology, St. Louis, MO 63110, USA
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Steven J Mennerick
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Marc I Diamond
- Center for Alzheimer's and Neurodegenerative Diseases, Peter O'Donnell Jr. Brain Institute, UT Southwestern Medical Center, Dallas, TX 75390, USA
| | - Jungsu Kim
- Stark Neurosciences Research Institute, Indiana University School of Medicine, Indianapolis, IN 46202, USA
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Rudolph E Tanzi
- Genetics and Aging Research Unit, MassGeneral Institute for Neurodegenerative Disease, McCance Center for Brain Health, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA 02129, USA
| | - David M Holtzman
- Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, MO 63110, USA
- Knight Alzheimer's Disease Research Center, Washington University School of Medicine, St. Louis, MO 63110, USA
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Andrew S Yoo
- Department of Developmental Biology, Washington University School of Medicine, St. Louis, MO 63110, USA
- Center for Regenerative Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA
- Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, MO 63110, USA
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13
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Paiva I, Seguin J, Grgurina I, Singh AK, Cosquer B, Plassard D, Tzeplaeff L, Le Gras S, Cotellessa L, Decraene C, Gambi J, Alcala-Vida R, Eswaramoorthy M, Buée L, Cassel JC, Giacobini P, Blum D, Merienne K, Kundu TK, Boutillier AL. Dysregulated expression of cholesterol biosynthetic genes in Alzheimer's disease alters epigenomic signatures of hippocampal neurons. Neurobiol Dis 2024; 198:106538. [PMID: 38789057 DOI: 10.1016/j.nbd.2024.106538] [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: 12/29/2023] [Revised: 05/18/2024] [Accepted: 05/20/2024] [Indexed: 05/26/2024] Open
Abstract
Aging is the main risk factor of cognitive neurodegenerative diseases such as Alzheimer's disease, with epigenome alterations as a contributing factor. Here, we compared transcriptomic/epigenomic changes in the hippocampus, modified by aging and by tauopathy, an AD-related feature. We show that the cholesterol biosynthesis pathway is severely impaired in hippocampal neurons of tauopathic but not of aged mice pointing to vulnerability of these neurons in the disease. At the epigenomic level, histone hyperacetylation was observed at neuronal enhancers associated with glutamatergic regulations only in the tauopathy. Lastly, a treatment of tau mice with the CSP-TTK21 epi-drug that restored expression of key cholesterol biosynthesis genes counteracted hyperacetylation at neuronal enhancers and restored object memory. As acetyl-CoA is the primary substrate of both pathways, these data suggest that the rate of the cholesterol biosynthesis in hippocampal neurons may trigger epigenetic-driven changes, that may compromise the functions of hippocampal neurons in pathological conditions.
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Affiliation(s)
- Isabel Paiva
- University of Strasbourg, Laboratoire de Neuroscience Cognitives et Adaptatives (LNCA), Strasbourg F-67000, France; CNRS, UMR7364 - Laboratoire de Neuroscience Cognitives et Adaptatives (LNCA), Strasbourg F-67000, France.
| | - Jonathan Seguin
- University of Strasbourg, Laboratoire de Neuroscience Cognitives et Adaptatives (LNCA), Strasbourg F-67000, France; CNRS, UMR7364 - Laboratoire de Neuroscience Cognitives et Adaptatives (LNCA), Strasbourg F-67000, France
| | - Iris Grgurina
- University of Strasbourg, Laboratoire de Neuroscience Cognitives et Adaptatives (LNCA), Strasbourg F-67000, France; CNRS, UMR7364 - Laboratoire de Neuroscience Cognitives et Adaptatives (LNCA), Strasbourg F-67000, France
| | - Akash Kumar Singh
- Transcription and Disease Laboratory, Molecular Biology and Genetics Unit, Jawaharlal Nehru Centre for Advanced Scientific Research (JNCASR), Bangalore, India
| | - Brigitte Cosquer
- University of Strasbourg, Laboratoire de Neuroscience Cognitives et Adaptatives (LNCA), Strasbourg F-67000, France; CNRS, UMR7364 - Laboratoire de Neuroscience Cognitives et Adaptatives (LNCA), Strasbourg F-67000, France
| | - Damien Plassard
- University of Strasbourg, CNRS UMR7104, Inserm U1258 - GenomEast Platform - IGBMC - Institut de Génétique et de Biologie Moléculaire et Cellulaire, F-67404 Illkirch, France
| | - Laura Tzeplaeff
- University of Strasbourg, Laboratoire de Neuroscience Cognitives et Adaptatives (LNCA), Strasbourg F-67000, France; CNRS, UMR7364 - Laboratoire de Neuroscience Cognitives et Adaptatives (LNCA), Strasbourg F-67000, France
| | - Stephanie Le Gras
- University of Strasbourg, CNRS UMR7104, Inserm U1258 - GenomEast Platform - IGBMC - Institut de Génétique et de Biologie Moléculaire et Cellulaire, F-67404 Illkirch, France
| | - Ludovica Cotellessa
- University of Lille, Inserm, CHU Lille, Laboratory of Development and Plasticity of the Postnatal Brain, Lille Neuroscience & Cognition, UMR-S1172, FHU 1000 Days for Health, 59000 Lille, France
| | - Charles Decraene
- University of Strasbourg, Laboratoire de Neuroscience Cognitives et Adaptatives (LNCA), Strasbourg F-67000, France; CNRS, UMR7364 - Laboratoire de Neuroscience Cognitives et Adaptatives (LNCA), Strasbourg F-67000, France
| | - Johanne Gambi
- University of Strasbourg, Laboratoire de Neuroscience Cognitives et Adaptatives (LNCA), Strasbourg F-67000, France; CNRS, UMR7364 - Laboratoire de Neuroscience Cognitives et Adaptatives (LNCA), Strasbourg F-67000, France
| | - Rafael Alcala-Vida
- University of Strasbourg, Laboratoire de Neuroscience Cognitives et Adaptatives (LNCA), Strasbourg F-67000, France; CNRS, UMR7364 - Laboratoire de Neuroscience Cognitives et Adaptatives (LNCA), Strasbourg F-67000, France
| | - Muthusamy Eswaramoorthy
- Chemistry and Physics of Materials Unit, Jawaharlal Nehru Centre for Advanced Scientific Research, Bangalore, India
| | - Luc Buée
- University of Lille, Inserm, CHU Lille, UMR-S1172 LilNCog - Lille Neuroscience & Cognition, Lille, France; Alzheimer and Tauopathies, LabEx DISTALZ, France
| | - Jean-Christophe Cassel
- University of Strasbourg, Laboratoire de Neuroscience Cognitives et Adaptatives (LNCA), Strasbourg F-67000, France; CNRS, UMR7364 - Laboratoire de Neuroscience Cognitives et Adaptatives (LNCA), Strasbourg F-67000, France
| | - Paolo Giacobini
- University of Lille, Inserm, CHU Lille, Laboratory of Development and Plasticity of the Postnatal Brain, Lille Neuroscience & Cognition, UMR-S1172, FHU 1000 Days for Health, 59000 Lille, France
| | - David Blum
- University of Lille, Inserm, CHU Lille, UMR-S1172 LilNCog - Lille Neuroscience & Cognition, Lille, France; Alzheimer and Tauopathies, LabEx DISTALZ, France
| | - Karine Merienne
- University of Strasbourg, Laboratoire de Neuroscience Cognitives et Adaptatives (LNCA), Strasbourg F-67000, France; CNRS, UMR7364 - Laboratoire de Neuroscience Cognitives et Adaptatives (LNCA), Strasbourg F-67000, France
| | - Tapas K Kundu
- Transcription and Disease Laboratory, Molecular Biology and Genetics Unit, Jawaharlal Nehru Centre for Advanced Scientific Research (JNCASR), Bangalore, India
| | - Anne-Laurence Boutillier
- University of Strasbourg, Laboratoire de Neuroscience Cognitives et Adaptatives (LNCA), Strasbourg F-67000, France; CNRS, UMR7364 - Laboratoire de Neuroscience Cognitives et Adaptatives (LNCA), Strasbourg F-67000, France.
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14
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Zhang M, Hu T, Ma T, Huang W, Wang Y. Epigenetics and environmental health. Front Med 2024; 18:571-596. [PMID: 38806988 DOI: 10.1007/s11684-023-1038-2] [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: 07/03/2023] [Accepted: 10/15/2023] [Indexed: 05/30/2024]
Abstract
Epigenetic modifications including DNA methylation, histone modifications, chromatin remodeling, and RNA modifications complicate gene regulation and heredity and profoundly impact various physiological and pathological processes. In recent years, accumulating evidence indicates that epigenetics is vulnerable to environmental changes and regulates the growth, development, and diseases of individuals by affecting chromatin activity and regulating gene expression. Environmental exposure or induced epigenetic changes can regulate the state of development and lead to developmental disorders, aging, cardiovascular disease, Alzheimer's disease, cancers, and so on. However, epigenetic modifications are reversible. The use of specific epigenetic inhibitors targeting epigenetic changes in response to environmental exposure is useful in disease therapy. Here, we provide an overview of the role of epigenetics in various diseases. Furthermore, we summarize the mechanism of epigenetic alterations induced by different environmental exposures, the influence of different environmental exposures, and the crosstalk between environmental variation epigenetics, and genes that are implicated in the body's health. However, the interaction of multiple factors and epigenetics in regulating the initiation and progression of various diseases complicates clinical treatments. We discuss some commonly used epigenetic drugs targeting epigenetic modifications and methods to prevent or relieve various diseases regulated by environmental exposure and epigenetics through diet.
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Affiliation(s)
- Min Zhang
- Key Laboratory of Cancer and Microbiome, State Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Ting Hu
- Key Laboratory of Cancer and Microbiome, State Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Tianyu Ma
- Key Laboratory of Cancer and Microbiome, State Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
- Beijing Key Laboratory of Cancer Invasion and Metastasis Research, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Capital Medical University, Beijing, 100069, China
| | - Wei Huang
- Beijing Key Laboratory of Cancer Invasion and Metastasis Research, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Capital Medical University, Beijing, 100069, China.
| | - Yan Wang
- Key Laboratory of Cancer and Microbiome, State Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
- Beijing Key Laboratory of Cancer Invasion and Metastasis Research, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Capital Medical University, Beijing, 100069, China.
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15
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Occean JR, Yang N, Sun Y, Dawkins MS, Munk R, Belair C, Dar S, Anerillas C, Wang L, Shi C, Dunn C, Bernier M, Price NL, Kim JS, Cui CY, Fan J, Bhattacharyya M, De S, Maragkakis M, de Cabo R, Sidoli S, Sen P. Gene body DNA hydroxymethylation restricts the magnitude of transcriptional changes during aging. Nat Commun 2024; 15:6357. [PMID: 39069555 PMCID: PMC11284234 DOI: 10.1038/s41467-024-50725-y] [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: 01/16/2023] [Accepted: 07/15/2024] [Indexed: 07/30/2024] Open
Abstract
DNA hydroxymethylation (5hmC), the most abundant oxidative derivative of DNA methylation, is typically enriched at enhancers and gene bodies of transcriptionally active and tissue-specific genes. Although aberrant genomic 5hmC has been implicated in age-related diseases, its functional role in aging remains unknown. Here, using mouse liver and cerebellum as model organs, we show that 5hmC accumulates in gene bodies associated with tissue-specific function and restricts the magnitude of gene expression changes with age. Mechanistically, 5hmC decreases the binding of splicing associated factors and correlates with age-related alternative splicing events. We found that various age-related contexts, such as prolonged quiescence and senescence, drive the accumulation of 5hmC with age. We provide evidence that this age-related transcriptionally restrictive function is conserved in mouse and human tissues. Our findings reveal that 5hmC regulates tissue-specific function and may play a role in longevity.
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Affiliation(s)
- James R Occean
- Laboratory of Genetics and Genomics, National Institute on Aging, NIH, Baltimore, MD, USA
| | - Na Yang
- Laboratory of Genetics and Genomics, National Institute on Aging, NIH, Baltimore, MD, USA
| | - Yan Sun
- Department of Biochemistry, Albert Einstein School of Medicine, Bronx, NY, USA
| | - Marshall S Dawkins
- Laboratory of Genetics and Genomics, National Institute on Aging, NIH, Baltimore, MD, USA
| | - Rachel Munk
- Laboratory of Genetics and Genomics, National Institute on Aging, NIH, Baltimore, MD, USA
| | - Cedric Belair
- Laboratory of Genetics and Genomics, National Institute on Aging, NIH, Baltimore, MD, USA
| | - Showkat Dar
- Laboratory of Genetics and Genomics, National Institute on Aging, NIH, Baltimore, MD, USA
| | - Carlos Anerillas
- Laboratory of Genetics and Genomics, National Institute on Aging, NIH, Baltimore, MD, USA
| | - Lin Wang
- Laboratory of Genetics and Genomics, National Institute on Aging, NIH, Baltimore, MD, USA
| | - Changyou Shi
- Laboratory of Genetics and Genomics, National Institute on Aging, NIH, Baltimore, MD, USA
| | - Christopher Dunn
- Flow Cytometry Unit, National Institute on Aging, NIH, Baltimore, MD, USA
| | - Michel Bernier
- Translational Gerontology Branch, National Institute on Aging, NIH, Baltimore, MD, USA
| | - Nathan L Price
- Translational Gerontology Branch, National Institute on Aging, NIH, Baltimore, MD, USA
| | - Julie S Kim
- Department of Biochemistry, Albert Einstein School of Medicine, Bronx, NY, USA
| | - Chang-Yi Cui
- Laboratory of Genetics and Genomics, National Institute on Aging, NIH, Baltimore, MD, USA
| | - Jinshui Fan
- Computational Biology and Genomics Core, Laboratory of Genetics and Genomics, National Institute on Aging, NIH, Baltimore, MD, USA
| | | | - Supriyo De
- Computational Biology and Genomics Core, Laboratory of Genetics and Genomics, National Institute on Aging, NIH, Baltimore, MD, USA
| | - Manolis Maragkakis
- Laboratory of Genetics and Genomics, National Institute on Aging, NIH, Baltimore, MD, USA
| | - Rafael de Cabo
- Translational Gerontology Branch, National Institute on Aging, NIH, Baltimore, MD, USA
| | - Simone Sidoli
- Department of Biochemistry, Albert Einstein School of Medicine, Bronx, NY, USA
| | - Payel Sen
- Laboratory of Genetics and Genomics, National Institute on Aging, NIH, Baltimore, MD, USA.
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16
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Zhang Q, Li T, Xu M, Islam B, Wang J. Application of Optogenetics in Neurodegenerative Diseases. Cell Mol Neurobiol 2024; 44:57. [PMID: 39060759 PMCID: PMC11281982 DOI: 10.1007/s10571-024-01486-1] [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: 03/08/2024] [Accepted: 06/15/2024] [Indexed: 07/28/2024]
Abstract
Optogenetics, a revolutionary technique integrating optical and genetic methodologies, offers unparalleled precision in spatial targeting and temporal resolution for cellular control. This approach enables the selective manipulation of specific neuronal populations, inducing subtle electrical changes that significantly impact complex neural circuitry. As optogenetics precisely targets and modulates neuronal activity, it holds the potential for significant breakthroughs in understanding and potentially altering the course of neurodegenerative diseases, characterized by selective neuronal loss leading to functional deficits within the nervous system. The integration of optogenetics into neurodegenerative disease research has significantly advanced in the field, offering new insights and paving the way for innovative treatment strategies. Its application in clinical settings, although still in the nascent stages, suggests a promising future for addressing some of the most challenging aspects of neurodegenerative disorders. In this review, we provide a comprehensive overview of these research undertakings.
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Affiliation(s)
- Qian Zhang
- Xiangya School of Public Health, Central South University, Changsha, 410078, Hunan, People's Republic of China
| | - Tianjiao Li
- Xiangya School of Public Health, Central South University, Changsha, 410078, Hunan, People's Republic of China
| | - Mengying Xu
- Xiangya School of Public Health, Central South University, Changsha, 410078, Hunan, People's Republic of China
| | - Binish Islam
- Xiangya School of Public Health, Central South University, Changsha, 410078, Hunan, People's Republic of China
| | - Jianwu Wang
- Xiangya School of Public Health, Central South University, Changsha, 410078, Hunan, People's Republic of China.
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17
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Bi Y, An H, Chi Z, Xu Z, Deng Y, Ren Y, Wang R, Lu X, Guo J, Hu R, Virolle MJ, Xu D. The acetyltransferase SCO0988 controls positively specialized metabolism and morphological differentiation in the model strains Streptomyces coelicolor and Streptomyces lividans. Front Microbiol 2024; 15:1366336. [PMID: 39113837 PMCID: PMC11303876 DOI: 10.3389/fmicb.2024.1366336] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2024] [Accepted: 07/12/2024] [Indexed: 08/10/2024] Open
Abstract
Streptomycetes are well-known antibiotic producers possessing in their genomes numerous silent biosynthetic pathways that might direct the biosynthesis of novel bio-active specialized metabolites. It is thus of great interest to find ways to enhance the expression of these pathways to discover most needed novel antibiotics. In this study, we demonstrated that the over-expression of acetyltransferase SCO0988 up-regulated the production of specialized metabolites and accelerated sporulation of the weak antibiotic producer, Streptomyces lividans and that the deletion of this gene had opposite effects in the strong antibiotic producer, Streptomyces coelicolor. The comparative analysis of the acetylome of a S. lividans strain over-expressing sco0988 with that of the original strain revealed that SCO0988 acetylates a broad range of proteins of various pathways including BldKB/SCO5113, the extracellular solute-binding protein of an ABC-transporter involved in the up-take of a signal oligopeptide of the quorum sensing pathway. The up-take of this oligopeptide triggers the "bald cascade" that regulates positively specialized metabolism, aerial mycelium formation and sporulation in S. coelicolor. Interestingly, BldKB/SCO5113 was over-acetylated on four Lysine residues, including Lys425, upon SCO0988 over-expression. The bald phenotype of a bldKB mutant could be complemented by native bldKB but not by variant of bldKB in which the Lys425 was replaced by arginine, an amino acid that could not be acetylated or by glutamine, an amino acid that is expected to mimic acetylated lysine. Our study demonstrated that Lys425 was a critical residue for BldKB function but was inconclusive concerning the impact of acetylation of Lys425 on BldKB function.
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Affiliation(s)
- Yunwen Bi
- Department of Ecology, Institute of Hydrobiology, School of Life Science and Technology, Key Laboratory of Eutrophication and Red Tide Prevention of Guangdong Higher Education Institutes, Engineering Research Center of Tropical and Subtropical Aquatic Ecological Engineering, Ministry of Education, Jinan University, Guangzhou, China
| | - Hao An
- Department of Ecology, Institute of Hydrobiology, School of Life Science and Technology, Key Laboratory of Eutrophication and Red Tide Prevention of Guangdong Higher Education Institutes, Engineering Research Center of Tropical and Subtropical Aquatic Ecological Engineering, Ministry of Education, Jinan University, Guangzhou, China
| | - Zhewei Chi
- Department of Ecology, Institute of Hydrobiology, School of Life Science and Technology, Key Laboratory of Eutrophication and Red Tide Prevention of Guangdong Higher Education Institutes, Engineering Research Center of Tropical and Subtropical Aquatic Ecological Engineering, Ministry of Education, Jinan University, Guangzhou, China
| | - Zhongheng Xu
- Department of Ecology, Institute of Hydrobiology, School of Life Science and Technology, Key Laboratory of Eutrophication and Red Tide Prevention of Guangdong Higher Education Institutes, Engineering Research Center of Tropical and Subtropical Aquatic Ecological Engineering, Ministry of Education, Jinan University, Guangzhou, China
| | - Yuan Deng
- Department of Ecology, Institute of Hydrobiology, School of Life Science and Technology, Key Laboratory of Eutrophication and Red Tide Prevention of Guangdong Higher Education Institutes, Engineering Research Center of Tropical and Subtropical Aquatic Ecological Engineering, Ministry of Education, Jinan University, Guangzhou, China
| | - Yuxian Ren
- Department of Ecology, Institute of Hydrobiology, School of Life Science and Technology, Key Laboratory of Eutrophication and Red Tide Prevention of Guangdong Higher Education Institutes, Engineering Research Center of Tropical and Subtropical Aquatic Ecological Engineering, Ministry of Education, Jinan University, Guangzhou, China
| | - Rui Wang
- Department of Ecology, Institute of Hydrobiology, School of Life Science and Technology, Key Laboratory of Eutrophication and Red Tide Prevention of Guangdong Higher Education Institutes, Engineering Research Center of Tropical and Subtropical Aquatic Ecological Engineering, Ministry of Education, Jinan University, Guangzhou, China
| | - Xinyi Lu
- Department of Ecology, Institute of Hydrobiology, School of Life Science and Technology, Key Laboratory of Eutrophication and Red Tide Prevention of Guangdong Higher Education Institutes, Engineering Research Center of Tropical and Subtropical Aquatic Ecological Engineering, Ministry of Education, Jinan University, Guangzhou, China
| | - Jia Guo
- Department of Ecology, Institute of Hydrobiology, School of Life Science and Technology, Key Laboratory of Eutrophication and Red Tide Prevention of Guangdong Higher Education Institutes, Engineering Research Center of Tropical and Subtropical Aquatic Ecological Engineering, Ministry of Education, Jinan University, Guangzhou, China
| | - Ren Hu
- Department of Ecology, Institute of Hydrobiology, School of Life Science and Technology, Key Laboratory of Eutrophication and Red Tide Prevention of Guangdong Higher Education Institutes, Engineering Research Center of Tropical and Subtropical Aquatic Ecological Engineering, Ministry of Education, Jinan University, Guangzhou, China
| | - Marie-Joelle Virolle
- Université Paris-Saclay, CNRS, CEA, Institute for Integrative Biology of the Cell (I2BC), Department of Microbiology, Group “Energetic Metabolism of Streptomyces”, Gif-sur-Yvette, France
| | - Delin Xu
- Department of Ecology, Institute of Hydrobiology, School of Life Science and Technology, Key Laboratory of Eutrophication and Red Tide Prevention of Guangdong Higher Education Institutes, Engineering Research Center of Tropical and Subtropical Aquatic Ecological Engineering, Ministry of Education, Jinan University, Guangzhou, China
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18
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Nguyen H, Pham VD, Nguyen H, Tran B, Petereit J, Nguyen T. CCPA: cloud-based, self-learning modules for consensus pathway analysis using GO, KEGG and Reactome. Brief Bioinform 2024; 25:bbae222. [PMID: 39041916 PMCID: PMC11264295 DOI: 10.1093/bib/bbae222] [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: 11/22/2023] [Revised: 03/15/2024] [Accepted: 04/25/2024] [Indexed: 07/24/2024] Open
Abstract
This manuscript describes the development of a resource module that is part of a learning platform named 'NIGMS Sandbox for Cloud-based Learning' (https://github.com/NIGMS/NIGMS-Sandbox). The module delivers learning materials on Cloud-based Consensus Pathway Analysis in an interactive format that uses appropriate cloud resources for data access and analyses. Pathway analysis is important because it allows us to gain insights into biological mechanisms underlying conditions. But the availability of many pathway analysis methods, the requirement of coding skills, and the focus of current tools on only a few species all make it very difficult for biomedical researchers to self-learn and perform pathway analysis efficiently. Furthermore, there is a lack of tools that allow researchers to compare analysis results obtained from different experiments and different analysis methods to find consensus results. To address these challenges, we have designed a cloud-based, self-learning module that provides consensus results among established, state-of-the-art pathway analysis techniques to provide students and researchers with necessary training and example materials. The training module consists of five Jupyter Notebooks that provide complete tutorials for the following tasks: (i) process expression data, (ii) perform differential analysis, visualize and compare the results obtained from four differential analysis methods (limma, t-test, edgeR, DESeq2), (iii) process three pathway databases (GO, KEGG and Reactome), (iv) perform pathway analysis using eight methods (ORA, CAMERA, KS test, Wilcoxon test, FGSEA, GSA, SAFE and PADOG) and (v) combine results of multiple analyses. We also provide examples, source code, explanations and instructional videos for trainees to complete each Jupyter Notebook. The module supports the analysis for many model (e.g. human, mouse, fruit fly, zebra fish) and non-model species. The module is publicly available at https://github.com/NIGMS/Consensus-Pathway-Analysis-in-the-Cloud. This manuscript describes the development of a resource module that is part of a learning platform named ``NIGMS Sandbox for Cloud-based Learning'' https://github.com/NIGMS/NIGMS-Sandbox. The overall genesis of the Sandbox is described in the editorial NIGMS Sandbox [1] at the beginning of this Supplement. This module delivers learning materials on the analysis of bulk and single-cell ATAC-seq data in an interactive format that uses appropriate cloud resources for data access and analyses.
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Affiliation(s)
- Ha Nguyen
- Department of Computer Science and Software Engineering, Auburn University, AL 36849, USA
| | - Van-Dung Pham
- Department of Computer Science and Software Engineering, Auburn University, AL 36849, USA
| | - Hung Nguyen
- Department of Computer Science and Software Engineering, Auburn University, AL 36849, USA
| | - Bang Tran
- Department of Computer Science, California State University, Sacramento, CA 95819, USA
| | - Juli Petereit
- Nevada Bioinformatics Center, University of Nevada, Reno, NV 89557, USA
| | - Tin Nguyen
- Department of Computer Science and Software Engineering, Auburn University, AL 36849, USA
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19
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Lukacsovich D, O’Shea D, Huang H, Zhang W, Young J, Chen XS, Dietrich ST, Kunkle B, Martin E, Wang L. MIAMI-AD (Methylation in Aging and Methylation in AD): an integrative knowledgebase that facilitates explorations of DNA methylation across sex, aging, and Alzheimer's disease. Database (Oxford) 2024; 2024:baae061. [PMID: 39028752 PMCID: PMC11259044 DOI: 10.1093/database/baae061] [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: 01/19/2024] [Revised: 05/08/2024] [Accepted: 07/03/2024] [Indexed: 07/21/2024]
Abstract
Alzheimer's disease (AD) is a common neurodegenerative disorder with a significant impact on aging populations. DNA methylation (DNAm) alterations have been implicated in both the aging processes and the development of AD. Given that AD affects more women than men, it is also important to explore DNAm changes that occur specifically in each sex. We created MIAMI-AD, a comprehensive knowledgebase containing manually curated summary statistics from 98 published tables in 38 studies, all of which included at least 100 participants. MIAMI-AD enables easy browsing, querying, and downloading DNAm associations at multiple levels-at individual CpG, gene, genomic regions, or genome-wide, in one or multiple studies. Moreover, it also offers tools to perform integrative analyses, such as comparing DNAm associations across different phenotypes or tissues, as well as interactive visualizations. Using several use case examples, we demonstrated that MIAMI-AD facilitates our understanding of age-associated CpGs in AD and the sex-specific roles of DNAm in AD. This open-access resource is freely available to the research community, and all the underlying data can be downloaded. MIAMI-AD facilitates integrative explorations to better understand the interplay between DNAm across aging, sex, and AD. Database URL: https://miami-ad.org/.
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Affiliation(s)
- David Lukacsovich
- Division of Biostatistics, Department of Public Health Sciences, University of Miami, Miller School of Medicine, 1120 NW 14th Street, Miami, FL 33136, USA
| | - Deirdre O’Shea
- Department of Neurology, Comprehensive Center for Brain Health, University of Miami, Miller School of Medicine, 7700 W Camino Real, Boca Raton, FL 33433, USA
| | - Hanchen Huang
- Division of Biostatistics, Department of Public Health Sciences, University of Miami, Miller School of Medicine, 1120 NW 14th Street, Miami, FL 33136, USA
| | - Wei Zhang
- Division of Biostatistics, Department of Public Health Sciences, University of Miami, Miller School of Medicine, 1120 NW 14th Street, Miami, FL 33136, USA
| | - Juan Young
- Dr. John T Macdonald Foundation Department of Human Genetics, University of Miami, Miller School of Medicine, 1501 NW 10th Ave, Miami, FL 33136, USA
- John P. Hussman Institute for Human Genomics, University of Miami, Miller School of Medicine, 1501 NW 10th Ave, Miami, FL 33136, USA
| | - X Steven Chen
- Division of Biostatistics, Department of Public Health Sciences, University of Miami, Miller School of Medicine, 1120 NW 14th Street, Miami, FL 33136, USA
- Sylvester Comprehensive Cancer Center, University of Miami, Miller School of Medicine, 1475 NW 12th Ave, Miami, FL 33136, USA
| | - Sven-Thorsten Dietrich
- John P. Hussman Institute for Human Genomics, University of Miami, Miller School of Medicine, 1501 NW 10th Ave, Miami, FL 33136, USA
| | - Brian Kunkle
- Dr. John T Macdonald Foundation Department of Human Genetics, University of Miami, Miller School of Medicine, 1501 NW 10th Ave, Miami, FL 33136, USA
- John P. Hussman Institute for Human Genomics, University of Miami, Miller School of Medicine, 1501 NW 10th Ave, Miami, FL 33136, USA
| | - Eden Martin
- Dr. John T Macdonald Foundation Department of Human Genetics, University of Miami, Miller School of Medicine, 1501 NW 10th Ave, Miami, FL 33136, USA
- John P. Hussman Institute for Human Genomics, University of Miami, Miller School of Medicine, 1501 NW 10th Ave, Miami, FL 33136, USA
| | - Lily Wang
- Division of Biostatistics, Department of Public Health Sciences, University of Miami, Miller School of Medicine, 1120 NW 14th Street, Miami, FL 33136, USA
- Dr. John T Macdonald Foundation Department of Human Genetics, University of Miami, Miller School of Medicine, 1501 NW 10th Ave, Miami, FL 33136, USA
- John P. Hussman Institute for Human Genomics, University of Miami, Miller School of Medicine, 1501 NW 10th Ave, Miami, FL 33136, USA
- Sylvester Comprehensive Cancer Center, University of Miami, Miller School of Medicine, 1475 NW 12th Ave, Miami, FL 33136, USA
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20
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Liao Z, Zhang Q, Ren N, Zhao H, Zheng X. Progress in mitochondrial and omics studies in Alzheimer's disease research: from molecular mechanisms to therapeutic interventions. Front Immunol 2024; 15:1418939. [PMID: 39040111 PMCID: PMC11260616 DOI: 10.3389/fimmu.2024.1418939] [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: 04/17/2024] [Accepted: 06/21/2024] [Indexed: 07/24/2024] Open
Abstract
Alzheimer's disease (Alzheimer's disease, AD) is a progressive neurological disorder characterized by memory loss and cognitive impairment. It is characterized by the formation of tau protein neurofibrillary tangles and β-amyloid plaques. Recent studies have found that mitochondria in neuronal cells of AD patients exhibit various dysfunctions, including reduced numbers, ultrastructural changes, reduced enzyme activity, and abnormal kinetics. These abnormal mitochondria not only lead to the loss of normal neuronal cell function, but are also a major driver of AD progression. In this review, we will focus on the advances of mitochondria and their multi-omics in AD research, with particular emphasis on how mitochondrial dysfunction in AD drives disease progression. At the same time, we will focus on summarizing how mitochondrial genomics technologies have revealed specific details of these dysfunctions and how therapeutic strategies targeting mitochondria may provide new directions for future AD treatments. By delving into the key mechanisms of mitochondria in AD related to energy metabolism, altered kinetics, regulation of cell death, and dysregulation of calcium-ion homeostasis, and how mitochondrial multi-omics technologies can be utilized to provide us with a better understanding of these processes. In the future, mitochondria-centered therapeutic strategies will be a key idea in the treatment of AD.
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Affiliation(s)
- Zuning Liao
- Department of Neurology, Fourth People’s Hospital of Jinan, Jinan, China
| | - Qiying Zhang
- Department of Internal Medicine, Jinan Municipal Government Hospital, Jinan, China
| | - Na Ren
- Pharmacy Department, Jinan Municipal People’s Government Organs Outpatient Department, Jinan, China
| | - Haiyan Zhao
- Department of Pharmacy, Qihe County People’s Hospital, Dezhou, China
| | - Xueyan Zheng
- Department of Pharmacy, Jinan Second People’s Hospital, Jinan, China
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21
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Occean JR, Yang N, Sun Y, Dawkins MS, Munk R, Belair C, Dar S, Anerillas C, Wang L, Shi C, Dunn C, Bernier M, Price NL, Kim JS, Cui CY, Fan J, Bhattacharyya M, De S, Maragkakis M, deCabo R, Sidoli S, Sen P. Gene body DNA hydroxymethylation restricts the magnitude of transcriptional changes during aging. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.02.15.528714. [PMID: 36824863 PMCID: PMC9949049 DOI: 10.1101/2023.02.15.528714] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/17/2023]
Abstract
DNA hydroxymethylation (5hmC), the most abundant oxidative derivative of DNA methylation, is typically enriched at enhancers and gene bodies of transcriptionally active and tissue-specific genes. Although aberrant genomic 5hmC has been implicated in age-related diseases, its functional role in aging remains unknown. Here, using mouse liver and cerebellum as model organs, we show that 5hmC accumulates in gene bodies associated with tissue-specific function and restricts the magnitude of gene expression changes with age. Mechanistically, 5hmC decreases the binding of splicing associated factors and correlates with age-related alternative splicing events. We found that various age-related contexts, such as prolonged quiescence and senescence, drive the accumulation of 5hmC with age. We provide evidence that this age-related transcriptionally restrictive function is conserved in mouse and human tissues. Our findings reveal that 5hmC regulates tissue-specific function and may play a role in longevity.
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22
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Pereira M, Cruz MT, Fortuna A, Bicker J. Restoring the epigenome in Alzheimer's disease: advancing HDAC inhibitors as therapeutic agents. Drug Discov Today 2024; 29:104052. [PMID: 38830501 DOI: 10.1016/j.drudis.2024.104052] [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: 02/05/2024] [Revised: 05/21/2024] [Accepted: 05/29/2024] [Indexed: 06/05/2024]
Abstract
Current treatment options for Alzheimer's disease (AD) focus on symptom relief rather than halting disease progression. In this context, targeting histone deacetylation emerges as a promising therapeutic alternative. Dysregulation of histone deacetylase (HDAC) activity is present in AD, contributing to cognitive decline. Pharmacological HDAC inhibition has shown benefits in preclinical models, namely reduced amyloid beta plaque formation, lower phosphorylation and aggregation of tau protein, greater microtubule stability, less neuroinflammation, and improved metabolic homeostasis and cell survival. Nonetheless, clinical trials evidenced limitations such as insufficient selectivity or blood-brain barrier penetration. Hence, future innovative strategies are required to enhance their efficacy/safety.
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Affiliation(s)
- Márcia Pereira
- University of Coimbra, Faculty of Pharmacy, Coimbra, Portugal
| | - Maria Teresa Cruz
- University of Coimbra, Faculty of Pharmacy, Coimbra, Portugal; University of Coimbra, Center for Neuroscience and Cell Biology, Coimbra, Portugal
| | - Ana Fortuna
- University of Coimbra, Faculty of Pharmacy, Coimbra, Portugal; University of Coimbra, Coimbra Institute for Biomedical Imaging and Translational Research, Coimbra, Portugal
| | - Joana Bicker
- University of Coimbra, Faculty of Pharmacy, Coimbra, Portugal; University of Coimbra, Coimbra Institute for Biomedical Imaging and Translational Research, Coimbra, Portugal.
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23
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Zhao A, Xu W, Han R, Wei J, Yu Q, Wang M, Li H, Li M, Chi G. Role of histone modifications in neurogenesis and neurodegenerative disease development. Ageing Res Rev 2024; 98:102324. [PMID: 38762100 DOI: 10.1016/j.arr.2024.102324] [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: 12/10/2023] [Revised: 04/30/2024] [Accepted: 05/05/2024] [Indexed: 05/20/2024]
Abstract
Progressive neuronal dysfunction and death are key features of neurodegenerative diseases; therefore, promoting neurogenesis in neurodegenerative diseases is crucial. With advancements in proteomics and high-throughput sequencing technology, it has been demonstrated that histone post-transcriptional modifications (PTMs) are often altered during neurogenesis when the brain is affected by disease or external stimuli and that the degree of histone modification is closely associated with the development of neurodegenerative diseases. This review aimed to show the regulatory role of histone modifications in neurogenesis and neurodegenerative diseases by discussing the changing patterns and functional significance of histone modifications, including histone methylation, acetylation, ubiquitination, phosphorylation, and lactylation. Finally, we explored the control of neurogenesis and the development of neurodegenerative diseases by artificially modulating histone modifications.
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Affiliation(s)
- Anqi Zhao
- The Key Laboratory of Pathobiology, Ministry of Education, Jilin University, Changchun 130021, China
| | - Wenhong Xu
- The Key Laboratory of Pathobiology, Ministry of Education, Jilin University, Changchun 130021, China
| | - Rui Han
- Department of Neurovascular Surgery, First Hospital of Jilin University, Changchun, 130021, China
| | - Junyuan Wei
- The Key Laboratory of Pathobiology, Ministry of Education, Jilin University, Changchun 130021, China
| | - Qi Yu
- The Key Laboratory of Pathobiology, Ministry of Education, Jilin University, Changchun 130021, China
| | - Miaomiao Wang
- The Key Laboratory of Pathobiology, Ministry of Education, Jilin University, Changchun 130021, China
| | - Haokun Li
- The Key Laboratory of Pathobiology, Ministry of Education, Jilin University, Changchun 130021, China
| | - Meiying Li
- The Key Laboratory of Pathobiology, Ministry of Education, Jilin University, Changchun 130021, China.
| | - Guangfan Chi
- The Key Laboratory of Pathobiology, Ministry of Education, Jilin University, Changchun 130021, China.
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24
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Gutierrez Reyes CD, Alejo-Jacuinde G, Perez Sanchez B, Chavez Reyes J, Onigbinde S, Mogut D, Hernández-Jasso I, Calderón-Vallejo D, Quintanar JL, Mechref Y. Multi Omics Applications in Biological Systems. Curr Issues Mol Biol 2024; 46:5777-5793. [PMID: 38921016 PMCID: PMC11202207 DOI: 10.3390/cimb46060345] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2024] [Revised: 05/31/2024] [Accepted: 06/05/2024] [Indexed: 06/27/2024] Open
Abstract
Traditional methodologies often fall short in addressing the complexity of biological systems. In this regard, system biology omics have brought invaluable tools for conducting comprehensive analysis. Current sequencing capabilities have revolutionized genetics and genomics studies, as well as the characterization of transcriptional profiling and dynamics of several species and sample types. Biological systems experience complex biochemical processes involving thousands of molecules. These processes occur at different levels that can be studied using mass spectrometry-based (MS-based) analysis, enabling high-throughput proteomics, glycoproteomics, glycomics, metabolomics, and lipidomics analysis. Here, we present the most up-to-date techniques utilized in the completion of omics analysis. Additionally, we include some interesting examples of the applicability of multi omics to a variety of biological systems.
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Affiliation(s)
| | - Gerardo Alejo-Jacuinde
- Department of Plant and Soil Science, Institute of Genomics for Crop Abiotic Stress Tolerance (IGCAST), Texas Tech University, Lubbock, TX 79409, USA; (G.A.-J.); (B.P.S.)
| | - Benjamin Perez Sanchez
- Department of Plant and Soil Science, Institute of Genomics for Crop Abiotic Stress Tolerance (IGCAST), Texas Tech University, Lubbock, TX 79409, USA; (G.A.-J.); (B.P.S.)
| | - Jesus Chavez Reyes
- Center of Basic Sciences, Department of Physiology and Pharmacology, Autonomous University of Aguascalientes, Aguascalientes 20392, Mexico; (J.C.R.); (I.H.-J.); (D.C.-V.); (J.L.Q.)
| | - Sherifdeen Onigbinde
- Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, TX 79409, USA;
| | - Damir Mogut
- Department of Food Biochemistry, Faculty of Food Science, University of Warmia and Mazury in Olsztyn, 10-719 Olsztyn, Poland;
| | - Irma Hernández-Jasso
- Center of Basic Sciences, Department of Physiology and Pharmacology, Autonomous University of Aguascalientes, Aguascalientes 20392, Mexico; (J.C.R.); (I.H.-J.); (D.C.-V.); (J.L.Q.)
| | - Denisse Calderón-Vallejo
- Center of Basic Sciences, Department of Physiology and Pharmacology, Autonomous University of Aguascalientes, Aguascalientes 20392, Mexico; (J.C.R.); (I.H.-J.); (D.C.-V.); (J.L.Q.)
| | - J. Luis Quintanar
- Center of Basic Sciences, Department of Physiology and Pharmacology, Autonomous University of Aguascalientes, Aguascalientes 20392, Mexico; (J.C.R.); (I.H.-J.); (D.C.-V.); (J.L.Q.)
| | - Yehia Mechref
- Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, TX 79409, USA;
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25
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Feierman ER, Louzon S, Prescott NA, Biaco T, Gao Q, Qiu Q, Choi K, Palozola KC, Voss AJ, Mehta SD, Quaye CN, Lynch KT, Fuccillo MV, Wu H, David Y, Korb E. Histone variant H2BE enhances chromatin accessibility in neurons to promote synaptic gene expression and long-term memory. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.01.29.575103. [PMID: 38352334 PMCID: PMC10862743 DOI: 10.1101/2024.01.29.575103] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/22/2024]
Abstract
Regulation of histone proteins affects gene expression through multiple mechanisms including exchange with histone variants. However, widely expressed variants of H2B remain elusive. Recent findings link histone variants to neurological disorders, yet few are well studied in the brain. We applied new tools including novel antibodies, biochemical assays, and sequencing approaches to reveal broad expression of the H2B variant H2BE, and defined its role in regulating chromatin structure, neuronal transcription, and mouse behavior. We find that H2BE is enriched at promoters and a single unique amino acid allows it to dramatically enhance chromatin accessibility. Lastly, we show that H2BE is critical for synaptic gene expression and long-term memory. Together, these data reveal a novel mechanism linking histone variants to chromatin regulation, neuronal function, and memory. This work further identifies the first widely expressed H2B variant and uncovers a single histone amino acid with profound effects on genomic structure.
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Affiliation(s)
- Emily R. Feierman
- Neuroscience Graduate Group, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
- Epigenetics Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Sean Louzon
- Cell and Molecular Biology Graduate Group, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
- Epigenetics Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Nicholas A. Prescott
- Chemical Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY
- Tri-institutional PhD Program in Chemical Biology, New York, NY
| | - Tracy Biaco
- Chemical Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY
- Tri-institutional PhD Program in Chemical Biology, New York, NY
| | - Qingzeng Gao
- Chemical Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Qi Qiu
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Kyuhyun Choi
- Department of Neuroscience, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Katherine C. Palozola
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
- Epigenetics Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Anna J. Voss
- Neuroscience Graduate Group, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
- Epigenetics Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Shreya D. Mehta
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
- Epigenetics Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Camille N. Quaye
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
- Epigenetics Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Katherine T. Lynch
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
- Epigenetics Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Marc V. Fuccillo
- Department of Neuroscience, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Hao Wu
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
- Epigenetics Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Yael David
- Chemical Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY
- Tri-institutional PhD Program in Chemical Biology, New York, NY
| | - Erica Korb
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
- Epigenetics Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
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26
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Zhang L, Xiong Z, Xiao M. A Review of the Application of Spatial Transcriptomics in Neuroscience. Interdiscip Sci 2024; 16:243-260. [PMID: 38374297 DOI: 10.1007/s12539-024-00603-4] [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: 10/10/2023] [Revised: 12/29/2023] [Accepted: 01/02/2024] [Indexed: 02/21/2024]
Abstract
Since spatial transcriptomics can locate and distinguish the gene expression of functional genes in special regions and tissue, it is important for us to investigate the brain development, the development mechanism of brain diseases, and the relationship between brain structure and function in Neuroscience (or Brain science). While previous studies have introduced the crucial spatial transcriptomic techniques and data analysis methods, there are few studies to comprehensively overview the key methods, data resources, and technological applications of spatial transcriptomics in Neuroscience. For these reasons, we first investigate several common spatial transcriptomic data analysis approaches and data resources. Second, we introduce the applications of the spatial transcriptomic data analysis approaches in Neuroscience. Third, we summarize the integrating spatial transcriptomics with other technologies in Neuroscience. Finally, we discuss the challenges and future research directions of spatial transcriptomics in Neuroscience.
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Affiliation(s)
- Le Zhang
- College of Computer Science, Sichuan University, Chengdu, 610065, China
| | - Zhenqi Xiong
- College of Computer Science, Sichuan University, Chengdu, 610065, China
| | - Ming Xiao
- College of Computer Science, Sichuan University, Chengdu, 610065, China.
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27
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Kim Y, Jeong M, Koh IG, Kim C, Lee H, Kim JH, Yurko R, Kim IB, Park J, Werling DM, Sanders SJ, An JY. CWAS-Plus: estimating category-wide association of rare noncoding variation from whole-genome sequencing data with cell-type-specific functional data. Brief Bioinform 2024; 25:bbae323. [PMID: 38966948 PMCID: PMC11224609 DOI: 10.1093/bib/bbae323] [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: 03/13/2024] [Revised: 06/13/2024] [Accepted: 06/18/2024] [Indexed: 07/06/2024] Open
Abstract
Variants in cis-regulatory elements link the noncoding genome to human pathology; however, detailed analytic tools for understanding the association between cell-level brain pathology and noncoding variants are lacking. CWAS-Plus, adapted from a Python package for category-wide association testing (CWAS), enhances noncoding variant analysis by integrating both whole-genome sequencing (WGS) and user-provided functional data. With simplified parameter settings and an efficient multiple testing correction method, CWAS-Plus conducts the CWAS workflow 50 times faster than CWAS, making it more accessible and user-friendly for researchers. Here, we used a single-nuclei assay for transposase-accessible chromatin with sequencing to facilitate CWAS-guided noncoding variant analysis at cell-type-specific enhancers and promoters. Examining autism spectrum disorder WGS data (n = 7280), CWAS-Plus identified noncoding de novo variant associations in transcription factor binding sites within conserved loci. Independently, in Alzheimer's disease WGS data (n = 1087), CWAS-Plus detected rare noncoding variant associations in microglia-specific regulatory elements. These findings highlight CWAS-Plus's utility in genomic disorders and scalability for processing large-scale WGS data and in multiple-testing corrections. CWAS-Plus and its user manual are available at https://github.com/joonan-lab/cwas/ and https://cwas-plus.readthedocs.io/en/latest/, respectively.
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Affiliation(s)
- Yujin Kim
- Department of Integrated Biomedical and Life Science, Korea University, 145 Anam-ro, Seongbuk-ku, Seoul 02841, Republic of Korea
- L-HOPE Program for Community-Based Total Learning Health Systems, Korea University, 145 Anam-ro, Seongbuk-ku, Seoul 02841, Republic of Korea
| | - Minwoo Jeong
- School of Biosystem and Biomedical Science, College of Health Science, Korea University, 145 Anam-ro, Seongbuk-ku, Seoul 02841, Republic of Korea
| | - In Gyeong Koh
- Department of Integrated Biomedical and Life Science, Korea University, 145 Anam-ro, Seongbuk-ku, Seoul 02841, Republic of Korea
- L-HOPE Program for Community-Based Total Learning Health Systems, Korea University, 145 Anam-ro, Seongbuk-ku, Seoul 02841, Republic of Korea
| | - Chanhee Kim
- Department of Integrated Biomedical and Life Science, Korea University, 145 Anam-ro, Seongbuk-ku, Seoul 02841, Republic of Korea
- L-HOPE Program for Community-Based Total Learning Health Systems, Korea University, 145 Anam-ro, Seongbuk-ku, Seoul 02841, Republic of Korea
| | - Hyeji Lee
- Department of Integrated Biomedical and Life Science, Korea University, 145 Anam-ro, Seongbuk-ku, Seoul 02841, Republic of Korea
- L-HOPE Program for Community-Based Total Learning Health Systems, Korea University, 145 Anam-ro, Seongbuk-ku, Seoul 02841, Republic of Korea
| | - Jae Hyun Kim
- Department of Integrated Biomedical and Life Science, Korea University, 145 Anam-ro, Seongbuk-ku, Seoul 02841, Republic of Korea
- L-HOPE Program for Community-Based Total Learning Health Systems, Korea University, 145 Anam-ro, Seongbuk-ku, Seoul 02841, Republic of Korea
| | - Ronald Yurko
- Department of Statistics and Data Science, Carnegie Mellon University, 5000 Forbes Avenue, Squirrel Hill North, Pittsburgh, PA 15213, United States
| | - Il Bin Kim
- Department of Psychiatry, CHA Gangnam Medical Center, CHA University School of Medicine, 566 Nonhyon-ro, Gangnam-gu, Seoul 06135, Republic of Korea
| | - Jeongbin Park
- School of Biomedical Convergence Engineering, Pusan National University, 49 Busandaehak-ro, Mulgeum-eup, Yangsan-si, Gyeongsangnam-do, 50612, Republic of Korea
| | - Donna M Werling
- Laboratory of Genetics, University of Wisconsin-Madison, 425-g Henry Mall, Madison, WI 53706, Unite States
| | - Stephan J Sanders
- Department of Paediatrics, Institute of Developmental and Regenerative Medicine, University of Oxford, Old Road Campus, Roosevelt Dr, Headington, Oxford OX3 7TY, United Kingdom
- Department of Psychiatry and Behavioral Sciences, UCSF Weill Institute for Neurosciences, University of California, 1651 4th Street, San Francisco, CA 94158, United States
| | - Joon-Yong An
- Department of Integrated Biomedical and Life Science, Korea University, 145 Anam-ro, Seongbuk-ku, Seoul 02841, Republic of Korea
- L-HOPE Program for Community-Based Total Learning Health Systems, Korea University, 145 Anam-ro, Seongbuk-ku, Seoul 02841, Republic of Korea
- School of Biosystem and Biomedical Science, College of Health Science, Korea University, 145 Anam-ro, Seongbuk-ku, Seoul 02841, Republic of Korea
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Prasanth MI, Sivamaruthi BS, Cheong CSY, Verma K, Tencomnao T, Brimson JM, Prasansuklab A. Role of Epigenetic Modulation in Neurodegenerative Diseases: Implications of Phytochemical Interventions. Antioxidants (Basel) 2024; 13:606. [PMID: 38790711 PMCID: PMC11118909 DOI: 10.3390/antiox13050606] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2024] [Revised: 05/10/2024] [Accepted: 05/13/2024] [Indexed: 05/26/2024] Open
Abstract
Epigenetics defines changes in cell function without involving alterations in DNA sequence. Neuroepigenetics bridges neuroscience and epigenetics by regulating gene expression in the nervous system and its impact on brain function. With the increase in research in recent years, it was observed that alterations in the gene expression did not always originate from changes in the genetic sequence, which has led to understanding the role of epigenetics in neurodegenerative diseases (NDDs) including Alzheimer's disease (AD) and Parkinson's disease (PD). Epigenetic alterations contribute to the aberrant expression of genes involved in neuroinflammation, protein aggregation, and neuronal death. Natural phytochemicals have shown promise as potential therapeutic agents against NDDs because of their antioxidant, anti-inflammatory, and neuroprotective effects in cellular and animal models. For instance, resveratrol (grapes), curcumin (turmeric), and epigallocatechin gallate (EGCG; green tea) exhibit neuroprotective effects through their influence on DNA methylation patterns, histone acetylation, and non-coding RNA expression profiles. Phytochemicals also aid in slowing disease progression, preserving neuronal function, and enhancing cognitive and motor abilities. The present review focuses on various epigenetic modifications involved in the pathology of NDDs, including AD and PD, gene expression regulation related to epigenetic alterations, and the role of specific polyphenols in influencing epigenetic modifications in AD and PD.
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Affiliation(s)
- Mani Iyer Prasanth
- Natural Products for Neuroprotection and Anti-Ageing Research Unit, Chulalongkorn University, Bangkok 10330, Thailand; (M.I.P.); (C.S.Y.C.); (K.V.); (T.T.); (J.M.B.)
- Department of Clinical Chemistry, Faculty of Allied Health Sciences, Chulalongkorn University, Bangkok 10330, Thailand
| | - Bhagavathi Sundaram Sivamaruthi
- Office of Research Administration, Chiang Mai University, Chiang Mai 50200, Thailand;
- Innovation Center for Holistic Health, Nutraceuticals, and Cosmeceuticals, Faculty of Pharmacy, Chiang Mai University, Chiang Mai 50200, Thailand
| | - Clerance Su Yee Cheong
- Natural Products for Neuroprotection and Anti-Ageing Research Unit, Chulalongkorn University, Bangkok 10330, Thailand; (M.I.P.); (C.S.Y.C.); (K.V.); (T.T.); (J.M.B.)
- Department of Clinical Chemistry, Faculty of Allied Health Sciences, Chulalongkorn University, Bangkok 10330, Thailand
| | - Kanika Verma
- Natural Products for Neuroprotection and Anti-Ageing Research Unit, Chulalongkorn University, Bangkok 10330, Thailand; (M.I.P.); (C.S.Y.C.); (K.V.); (T.T.); (J.M.B.)
- Department of Clinical Chemistry, Faculty of Allied Health Sciences, Chulalongkorn University, Bangkok 10330, Thailand
| | - Tewin Tencomnao
- Natural Products for Neuroprotection and Anti-Ageing Research Unit, Chulalongkorn University, Bangkok 10330, Thailand; (M.I.P.); (C.S.Y.C.); (K.V.); (T.T.); (J.M.B.)
- Department of Clinical Chemistry, Faculty of Allied Health Sciences, Chulalongkorn University, Bangkok 10330, Thailand
| | - James Michael Brimson
- Natural Products for Neuroprotection and Anti-Ageing Research Unit, Chulalongkorn University, Bangkok 10330, Thailand; (M.I.P.); (C.S.Y.C.); (K.V.); (T.T.); (J.M.B.)
- Research, Innovation and International Affairs, Faculty of Allied Health Sciences, Chulalongkorn University, Bangkok 10330, Thailand
| | - Anchalee Prasansuklab
- Natural Products for Neuroprotection and Anti-Ageing Research Unit, Chulalongkorn University, Bangkok 10330, Thailand; (M.I.P.); (C.S.Y.C.); (K.V.); (T.T.); (J.M.B.)
- College of Public Health Sciences, Chulalongkorn University, Bangkok 10330, Thailand
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29
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Gouveia Roque C, Phatnani H, Hengst U. The broken Alzheimer's disease genome. CELL GENOMICS 2024; 4:100555. [PMID: 38697121 PMCID: PMC11099344 DOI: 10.1016/j.xgen.2024.100555] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Revised: 02/25/2024] [Accepted: 04/07/2024] [Indexed: 05/04/2024]
Abstract
The complex pathobiology of late-onset Alzheimer's disease (AD) poses significant challenges to therapeutic and preventative interventions. Despite these difficulties, genomics and related disciplines are allowing fundamental mechanistic insights to emerge with clarity, particularly with the introduction of high-resolution sequencing technologies. After all, the disrupted processes at the interface between DNA and gene expression, which we call the broken AD genome, offer detailed quantitative evidence unrestrained by preconceived notions about the disease. In addition to highlighting biological pathways beyond the classical pathology hallmarks, these advances have revitalized drug discovery efforts and are driving improvements in clinical tools. We review genetic, epigenomic, and gene expression findings related to AD pathogenesis and explore how their integration enables a better understanding of the multicellular imbalances contributing to this heterogeneous condition. The frontiers opening on the back of these research milestones promise a future of AD care that is both more personalized and predictive.
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Affiliation(s)
- Cláudio Gouveia Roque
- Center for Genomics of Neurodegenerative Disease, New York Genome Center, New York, NY 10013, USA; The Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY 10032, USA.
| | - Hemali Phatnani
- Center for Genomics of Neurodegenerative Disease, New York Genome Center, New York, NY 10013, USA; Department of Neurology, Center for Translational and Computational Neuroimmunology, Columbia University, New York, NY 10032, USA
| | - Ulrich Hengst
- The Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY 10032, USA; Department of Pathology & Cell Biology, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY 10032, USA.
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30
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Cao Z, Kong F, Ding J, Chen C, He F, Deng W. Promoting Alzheimer's disease research and therapy with stem cell technology. Stem Cell Res Ther 2024; 15:136. [PMID: 38715083 PMCID: PMC11077895 DOI: 10.1186/s13287-024-03737-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Accepted: 04/17/2024] [Indexed: 05/12/2024] Open
Abstract
BACKGROUND Alzheimer's disease (AD) is a prevalent form of dementia leading to memory loss, reduced cognitive and linguistic abilities, and decreased self-care. Current AD treatments aim to relieve symptoms and slow disease progression, but a cure is elusive due to limited understanding of the underlying disease mechanisms. MAIN CONTENT Stem cell technology has the potential to revolutionize AD research. With the ability to self-renew and differentiate into various cell types, stem cells are valuable tools for disease modeling, drug screening, and cell therapy. Recent advances have broadened our understanding beyond the deposition of amyloidβ (Aβ) or tau proteins in AD to encompass risk genes, immune system disorders, and neuron-glia mis-communication, relying heavily on stem cell-derived disease models. These stem cell-based models (e.g., organoids and microfluidic chips) simulate in vivo pathological processes with extraordinary spatial and temporal resolution. Stem cell technologies have the potential to alleviate AD pathology through various pathways, including immunomodulation, replacement of damaged neurons, and neurotrophic support. In recent years, transplantation of glial cells like oligodendrocytes and the infusion of exosomes have become hot research topics. CONCLUSION Although stem cell-based models and therapies for AD face several challenges, such as extended culture time and low differentiation efficiency, they still show considerable potential for AD treatment and are likely to become preferred tools for AD research.
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Affiliation(s)
- Zimeng Cao
- School of Pharmaceutical Sciences, Shenzhen Campus of Sun Yat-Sen University, Shenzhen, 518107, China
| | - Fanshu Kong
- School of Pharmaceutical Sciences, Shenzhen Campus of Sun Yat-Sen University, Shenzhen, 518107, China
| | - Jiaqi Ding
- School of Pharmaceutical Sciences, Shenzhen Campus of Sun Yat-Sen University, Shenzhen, 518107, China
| | - Chunxia Chen
- School of Pharmaceutical Sciences, Shenzhen Campus of Sun Yat-Sen University, Shenzhen, 518107, China.
| | - Fumei He
- School of Pharmaceutical Sciences, Shenzhen Campus of Sun Yat-Sen University, Shenzhen, 518107, China.
- School of Pharmaceutical Sciences, Dali University, Dali, 671000, China.
| | - Wenbin Deng
- School of Pharmaceutical Sciences, Shenzhen Campus of Sun Yat-Sen University, Shenzhen, 518107, China.
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31
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Yan H, Lu C, Lan C, Wang S, Zhang W, He Z, Hu J, Ai J, Liu GH, Ma S, Zhou Y, Qu J. Degeneration Directory: a multi-omics web resource for degenerative diseases. Protein Cell 2024; 15:385-392. [PMID: 38153694 PMCID: PMC11074994 DOI: 10.1093/procel/pwad066] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2023] [Accepted: 12/07/2023] [Indexed: 12/29/2023] Open
Affiliation(s)
- Haoteng Yan
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
- Key Laboratory of Organ Regeneration and Reconstruction, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
- Advanced Innovation Center for Human Brain Protection, and National Clinical Research Center for Geriatric Disorders, Xuanwu HospitalCapital Medical University, Beijing 100053, China
- Aging Translational Medicine Center, International Center for Aging and Cancer, Beijing Municipal Geriatric Medical Research Center, XuanwuHospital, Capital Medical University, Beijing 100053, China
| | - Changfa Lu
- Computer Network Information Center, Chinese Academy of Sciences, Beijing 100190, China
| | - Chenyang Lan
- Computer Network Information Center, Chinese Academy of Sciences, Beijing 100190, China
| | - Si Wang
- Advanced Innovation Center for Human Brain Protection, and National Clinical Research Center for Geriatric Disorders, Xuanwu HospitalCapital Medical University, Beijing 100053, China
- Aging Translational Medicine Center, International Center for Aging and Cancer, Beijing Municipal Geriatric Medical Research Center, XuanwuHospital, Capital Medical University, Beijing 100053, China
- The Fifth People’s Hospital of Chongqing, Chongqing 400062, China
- Aging Biomarker Consortium, Beijing 100101, China
| | - Weiqi Zhang
- Aging Biomarker Consortium, Beijing 100101, China
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China NationalCenter for Bioinformation, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
- Sino-Danish College, University of Chinese Academy of Sciences, Beijing 101408, China
| | - Zan He
- Advanced Innovation Center for Human Brain Protection, and National Clinical Research Center for Geriatric Disorders, Xuanwu HospitalCapital Medical University, Beijing 100053, China
- Aging Translational Medicine Center, International Center for Aging and Cancer, Beijing Municipal Geriatric Medical Research Center, XuanwuHospital, Capital Medical University, Beijing 100053, China
| | - Jinghao Hu
- Advanced Innovation Center for Human Brain Protection, and National Clinical Research Center for Geriatric Disorders, Xuanwu HospitalCapital Medical University, Beijing 100053, China
- Aging Translational Medicine Center, International Center for Aging and Cancer, Beijing Municipal Geriatric Medical Research Center, XuanwuHospital, Capital Medical University, Beijing 100053, China
| | - Jiaqi Ai
- Advanced Innovation Center for Human Brain Protection, and National Clinical Research Center for Geriatric Disorders, Xuanwu HospitalCapital Medical University, Beijing 100053, China
- Aging Translational Medicine Center, International Center for Aging and Cancer, Beijing Municipal Geriatric Medical Research Center, XuanwuHospital, Capital Medical University, Beijing 100053, China
| | - Guang-Hui Liu
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
- Key Laboratory of Organ Regeneration and Reconstruction, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
- Advanced Innovation Center for Human Brain Protection, and National Clinical Research Center for Geriatric Disorders, Xuanwu HospitalCapital Medical University, Beijing 100053, China
- Aging Translational Medicine Center, International Center for Aging and Cancer, Beijing Municipal Geriatric Medical Research Center, XuanwuHospital, Capital Medical University, Beijing 100053, China
- Aging Biomarker Consortium, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing 100101, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing 100101, China
| | - Shuai Ma
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
- Key Laboratory of Organ Regeneration and Reconstruction, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
- Aging Biomarker Consortium, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing 100101, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing 100101, China
| | - Yuanchun Zhou
- Computer Network Information Center, Chinese Academy of Sciences, Beijing 100190, China
| | - Jing Qu
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
- Key Laboratory of Organ Regeneration and Reconstruction, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
- Aging Biomarker Consortium, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing 100101, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing 100101, China
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32
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Scholz R, Brösamle D, Yuan X, Beyer M, Neher JJ. Epigenetic control of microglial immune responses. Immunol Rev 2024; 323:209-226. [PMID: 38491845 DOI: 10.1111/imr.13317] [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: 12/18/2023] [Accepted: 03/02/2024] [Indexed: 03/18/2024]
Abstract
Microglia, the major population of brain-resident macrophages, are now recognized as a heterogeneous population comprising several cell subtypes with different (so far mostly supposed) functions in health and disease. A number of studies have performed molecular characterization of these different microglial activation states over the last years making use of "omics" technologies, that is transcriptomics, proteomics and, less frequently, epigenomics profiling. These approaches offer the possibility to identify disease mechanisms, discover novel diagnostic biomarkers, and develop new therapeutic strategies. Here, we focus on epigenetic profiling as a means to understand microglial immune responses beyond what other omics methods can offer, that is, revealing past and present molecular responses, gene regulatory networks and potential future response trajectories, and defining cell subtype-specific disease relevance through mapping non-coding genetic variants. We review the current knowledge in the field regarding epigenetic regulation of microglial identity and function, provide an exemplary analysis that demonstrates the advantages of performing joint transcriptomic and epigenomic profiling of single microglial cells and discuss how comprehensive epigenetic analyses may enhance our understanding of microglial pathophysiology.
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Affiliation(s)
- Rebekka Scholz
- Immunogenomics & Neurodegeneration, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Systems Medicine, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Desirée Brösamle
- Biomedical Center (BMC), Biochemistry, Faculty of Medicine, LMU Munich, Munich, Germany
- Neuroimmunology and Neurodegenerative Diseases, German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
- Department of Cellular Neurology, Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Xidi Yuan
- Biomedical Center (BMC), Biochemistry, Faculty of Medicine, LMU Munich, Munich, Germany
- Neuroimmunology and Neurodegenerative Diseases, German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
- Department of Cellular Neurology, Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Marc Beyer
- Immunogenomics & Neurodegeneration, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Systems Medicine, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Platform for Single Cell Genomics and Epigenomics, German Center for Neurodegenerative Diseases (DZNE) and University of Bonn and West German Genome Center, Bonn, Germany
| | - Jonas J Neher
- Biomedical Center (BMC), Biochemistry, Faculty of Medicine, LMU Munich, Munich, Germany
- Neuroimmunology and Neurodegenerative Diseases, German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
- Department of Cellular Neurology, Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
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33
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Luo YX, Yang LL, Yao XQ. Gut microbiota-host lipid crosstalk in Alzheimer's disease: implications for disease progression and therapeutics. Mol Neurodegener 2024; 19:35. [PMID: 38627829 PMCID: PMC11020986 DOI: 10.1186/s13024-024-00720-0] [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: 12/12/2023] [Accepted: 03/18/2024] [Indexed: 04/19/2024] Open
Abstract
Trillions of intestinal bacteria in the human body undergo dynamic transformations in response to physiological and pathological changes. Alterations in their composition and metabolites collectively contribute to the progression of Alzheimer's disease. The role of gut microbiota in Alzheimer's disease is diverse and complex, evidence suggests lipid metabolism may be one of the potential pathways. However, the mechanisms that gut microbiota mediate lipid metabolism in Alzheimer's disease pathology remain unclear, necessitating further investigation for clarification. This review highlights the current understanding of how gut microbiota disrupts lipid metabolism and discusses the implications of these discoveries in guiding strategies for the prevention or treatment of Alzheimer's disease based on existing data.
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Affiliation(s)
- Ya-Xi Luo
- Department of Rehabilitation, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Ling-Ling Yang
- Department of Rehabilitation, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Xiu-Qing Yao
- Department of Rehabilitation, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
- Chongqing Municipality Clinical Research Center for Geriatric Medicine, Chongqing, China.
- Department of Rehabilitation Therapy, Chongqing Medical University, Chongqing, China.
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34
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Kim Y, Jeong M, Koh IG, Kim C, Lee H, Kim JH, Yurko R, Kim IB, Park J, Werling DM, Sanders SJ, An JY. CWAS-Plus: Estimating category-wide association of rare noncoding variation from whole-genome sequencing data with cell-type-specific functional data. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.04.15.24305828. [PMID: 38699372 PMCID: PMC11065022 DOI: 10.1101/2024.04.15.24305828] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/05/2024]
Abstract
Variants in cis-regulatory elements link the noncoding genome to human brain pathology; however, detailed analytic tools for understanding the association between cell-level brain pathology and noncoding variants are lacking. CWAS-Plus, adapted from a Python package for category-wide association testing (CWAS) employs both whole-genome sequencing and user-provided functional data to enhance noncoding variant analysis, with a faster and more efficient execution of the CWAS workflow. Here, we used single-nuclei assay for transposase-accessible chromatin with sequencing to facilitate CWAS-guided noncoding variant analysis at cell-type specific enhancers and promoters. Examining autism spectrum disorder whole-genome sequencing data (n = 7,280), CWAS-Plus identified noncoding de novo variant associations in transcription factor binding sites within conserved loci. Independently, in Alzheimer's disease whole-genome sequencing data (n = 1,087), CWAS-Plus detected rare noncoding variant associations in microglia-specific regulatory elements. These findings highlight CWAS-Plus's utility in genomic disorders and scalability for processing large-scale whole-genome sequencing data and in multiple-testing corrections. CWAS-Plus and its user manual are available at https://github.com/joonan-lab/cwas/ and https://cwas-plus.readthedocs.io/en/latest/, respectively.
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Affiliation(s)
- Yujin Kim
- Department of Integrated Biomedical and Life Science, Korea University, Seoul, 02841, Republic of Korea
- L-HOPE Program for Community-Based Total Learning Health Systems, Korea University, Seoul, 02841, Republic of Korea
| | - Minwoo Jeong
- School of Biosystem and Biomedical Science, College of Health Science, Korea University, Seoul, 02841, Republic of Korea
| | - In Gyeong Koh
- Department of Integrated Biomedical and Life Science, Korea University, Seoul, 02841, Republic of Korea
- L-HOPE Program for Community-Based Total Learning Health Systems, Korea University, Seoul, 02841, Republic of Korea
| | - Chanhee Kim
- Department of Integrated Biomedical and Life Science, Korea University, Seoul, 02841, Republic of Korea
- L-HOPE Program for Community-Based Total Learning Health Systems, Korea University, Seoul, 02841, Republic of Korea
| | - Hyeji Lee
- Department of Integrated Biomedical and Life Science, Korea University, Seoul, 02841, Republic of Korea
- L-HOPE Program for Community-Based Total Learning Health Systems, Korea University, Seoul, 02841, Republic of Korea
| | - Jae Hyun Kim
- Department of Integrated Biomedical and Life Science, Korea University, Seoul, 02841, Republic of Korea
- L-HOPE Program for Community-Based Total Learning Health Systems, Korea University, Seoul, 02841, Republic of Korea
| | - Ronald Yurko
- Department of Statistics and Data Science, Carnegie Mellon University, Pittsburgh, PA, 15213, USA
| | - Il Bin Kim
- Department of Psychiatry, CHA Gangnam Medical Center, CHA University School of Medicine, Seoul, 06135, Republic of Korea
| | - Jeongbin Park
- School of Biomedical Convergence Engineering, Pusan National University, Busan, 50612, Republic of Korea
| | - Donna M. Werling
- Laboratory of Genetics, University of Wisconsin-Madison, Madison, WI, 53706, USA
| | - Stephan J. Sanders
- Institute of Developmental and Regenerative Medicine, Department of Paediatrics, University of Oxford, Oxford, OX3 7TY, UK
- Department of Psychiatry and Behavioral Sciences, UCSF Weill Institute for Neurosciences, University of California, San Francisco, CA 94158, USA
| | - Joon-Yong An
- Department of Integrated Biomedical and Life Science, Korea University, Seoul, 02841, Republic of Korea
- L-HOPE Program for Community-Based Total Learning Health Systems, Korea University, Seoul, 02841, Republic of Korea
- School of Biosystem and Biomedical Science, College of Health Science, Korea University, Seoul, 02841, Republic of Korea
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35
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Singh R, Rathore AS, Dilnashin H, Keshri PK, Gupta NK, Prakash SAS, Zahra W, Singh S, Singh SP. HAT and HDAC: Enzyme with Contradictory Action in Neurodegenerative Diseases. Mol Neurobiol 2024:10.1007/s12035-024-04115-6. [PMID: 38587698 DOI: 10.1007/s12035-024-04115-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Accepted: 03/08/2024] [Indexed: 04/09/2024]
Abstract
In view of the increasing risk of neurodegenerative diseases, epigenetics plays a fundamental role in the field of neuroscience. Several modifications have been studied including DNA methylation, histone acetylation, histone phosphorylation, etc. Histone acetylation and deacetylation regulate gene expression, and the regular activity of histone acetyltransferases (HATs) and histone deacetylases (HDACs) provides regulatory stages for gene expression and cell cycle. Imbalanced homeostasis in these enzymes causes a detrimental effect on neurophysiological function. Intriguingly, epigenetic remodelling via histone acetylation in certain brain areas has been found to play a key role in the neurodegenerative diseases such as Alzheimer's disease, Parkinson's disease, and Huntington's disease. It has been demonstrated that a number of HATs have a role in crucial brain processes such regulating neuronal plasticity and memory formation. The most recent therapeutic methods involve the use of small molecules known as histone deacetylase (HDAC) inhibitors that antagonize HDAC activity thereby increase acetylation levels in order to prevent the loss of HAT function in neurodegenerative disorders. The target specificity of the HDAC inhibitors now in use raises concerns about their applicability, despite the fact that this strategy has demonstrated promising therapeutic outcomes. The aim of this review is to summarize the cross-linking between histone modification and its regulation in the pathogenesis of neurological disorders. Furthermore, these findings also support the notion of new pharmacotherapies that target particular areas of the brain using histone deacetylase inhibitors.
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Affiliation(s)
- Richa Singh
- Department of Biochemistry, Institute of Science, Banaras Hindu University, Varanasi-221005 (U.P.), India
| | - Aaina Singh Rathore
- Department of Biochemistry, Institute of Science, Banaras Hindu University, Varanasi-221005 (U.P.), India
| | - Hagera Dilnashin
- Department of Biochemistry, Institute of Science, Banaras Hindu University, Varanasi-221005 (U.P.), India
| | - Priyanka Kumari Keshri
- Department of Biochemistry, Institute of Science, Banaras Hindu University, Varanasi-221005 (U.P.), India
| | - Nitesh Kumar Gupta
- Department of Biochemistry, Institute of Science, Banaras Hindu University, Varanasi-221005 (U.P.), India
| | - Singh Ankit Satya Prakash
- Department of Biochemistry, Institute of Science, Banaras Hindu University, Varanasi-221005 (U.P.), India
| | - Walia Zahra
- Department of Biochemistry, Institute of Science, Banaras Hindu University, Varanasi-221005 (U.P.), India
| | - Shekhar Singh
- Department of Biochemistry, Institute of Science, Banaras Hindu University, Varanasi-221005 (U.P.), India
| | - Surya Pratap Singh
- Department of Biochemistry, Institute of Science, Banaras Hindu University, Varanasi-221005 (U.P.), India.
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36
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Wang Y, Du Y, Huang H, Cao Y, Pan K, Zhou Y, He J, Yao W, Chen S, Gao X. Targeting aberrant glycosylation to modulate microglial response and improve cognition in models of Alzheimer's disease. Pharmacol Res 2024; 202:107133. [PMID: 38458367 DOI: 10.1016/j.phrs.2024.107133] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Revised: 03/02/2024] [Accepted: 03/05/2024] [Indexed: 03/10/2024]
Abstract
Altered glycosylation profiles have been correlated with potential drug targets in various diseases, including Alzheimer's disease (AD). In this area, the linkage between bisecting N-acetylglucosamine (GlcNAc), a product of N-acetylglucosaminyltransferase III (GnT-III), and AD has been recognized, however, our understanding of the cause and the causative role of this aberrant glycosylation in AD are far from completion. Moreover, the effects and mechanisms of glycosylation-targeting interventions on memory and cognition, and novel targeting strategies are worth further study. Here, we showed the characteristic amyloid pathology-induced and age-related changes of GnT-III, and identified transcription factor 7-like 2 as the key transcription factor responsible for the abnormal expression of GnT-III in AD. Upregulation of GnT-III aggravated cognitive dysfunction and Alzheimer-like pathologies. In contrast, loss of GnT-III could improve cognition and alleviate pathologies. Furthermore, we found that an increase in bisecting GlcNAc modified ICAM-1 resulted in impairment of microglial responses, and genetic inactivation of GnT-III protected against AD mechanistically by blocking the aberrant glycosylation of ICAM-1 and subsequently modulating microglial responses, including microglial motility, phagocytosis ability, homeostatic/reactive state and neuroinflammation. Moreover, by target-based screening of GnT-III inhibitors from FDA-approved drug library, we identified two compounds, regorafenib and dihydroergocristine mesylate, showing pharmacological potential leading to modulation of aberrant glycosylation and microglial responses, and rescue of memory and cognition deficits.
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Affiliation(s)
- Yue Wang
- Jiangsu Key Laboratory of Druggability of Biopharmaceuticals, State Key Laboratory of Natural Medicines, School of Life Science and Technology, China Pharmaceutical University, Nanjing, China
| | - Yixuan Du
- Jiangsu Key Laboratory of Druggability of Biopharmaceuticals, State Key Laboratory of Natural Medicines, School of Life Science and Technology, China Pharmaceutical University, Nanjing, China
| | - Hongfei Huang
- Jiangsu Key Laboratory of Druggability of Biopharmaceuticals, State Key Laboratory of Natural Medicines, School of Life Science and Technology, China Pharmaceutical University, Nanjing, China
| | - Yiming Cao
- Jiangsu Key Laboratory of Druggability of Biopharmaceuticals, State Key Laboratory of Natural Medicines, School of Life Science and Technology, China Pharmaceutical University, Nanjing, China
| | - Kemeng Pan
- Jiangsu Key Laboratory of Druggability of Biopharmaceuticals, State Key Laboratory of Natural Medicines, School of Life Science and Technology, China Pharmaceutical University, Nanjing, China
| | - Yueqian Zhou
- Jiangsu Key Laboratory of Druggability of Biopharmaceuticals, State Key Laboratory of Natural Medicines, School of Life Science and Technology, China Pharmaceutical University, Nanjing, China
| | - Jiawei He
- Jiangsu Key Laboratory of Druggability of Biopharmaceuticals, State Key Laboratory of Natural Medicines, School of Life Science and Technology, China Pharmaceutical University, Nanjing, China
| | - Wenbing Yao
- Jiangsu Key Laboratory of Druggability of Biopharmaceuticals, State Key Laboratory of Natural Medicines, School of Life Science and Technology, China Pharmaceutical University, Nanjing, China.
| | - Song Chen
- Jiangsu Key Laboratory of Druggability of Biopharmaceuticals, State Key Laboratory of Natural Medicines, School of Life Science and Technology, China Pharmaceutical University, Nanjing, China.
| | - Xiangdong Gao
- Jiangsu Key Laboratory of Druggability of Biopharmaceuticals, State Key Laboratory of Natural Medicines, School of Life Science and Technology, China Pharmaceutical University, Nanjing, China.
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Eteleeb AM, Novotny BC, Tarraga CS, Sohn C, Dhungel E, Brase L, Nallapu A, Buss J, Farias F, Bergmann K, Bradley J, Norton J, Gentsch J, Wang F, Davis AA, Morris JC, Karch CM, Perrin RJ, Benitez BA, Harari O. Brain high-throughput multi-omics data reveal molecular heterogeneity in Alzheimer's disease. PLoS Biol 2024; 22:e3002607. [PMID: 38687811 PMCID: PMC11086901 DOI: 10.1371/journal.pbio.3002607] [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: 09/06/2023] [Revised: 05/10/2024] [Accepted: 03/28/2024] [Indexed: 05/02/2024] Open
Abstract
Unbiased data-driven omic approaches are revealing the molecular heterogeneity of Alzheimer disease. Here, we used machine learning approaches to integrate high-throughput transcriptomic, proteomic, metabolomic, and lipidomic profiles with clinical and neuropathological data from multiple human AD cohorts. We discovered 4 unique multimodal molecular profiles, one of them showing signs of poor cognitive function, a faster pace of disease progression, shorter survival with the disease, severe neurodegeneration and astrogliosis, and reduced levels of metabolomic profiles. We found this molecular profile to be present in multiple affected cortical regions associated with higher Braak tau scores and significant dysregulation of synapse-related genes, endocytosis, phagosome, and mTOR signaling pathways altered in AD early and late stages. AD cross-omics data integration with transcriptomic data from an SNCA mouse model revealed an overlapping signature. Furthermore, we leveraged single-nuclei RNA-seq data to identify distinct cell-types that most likely mediate molecular profiles. Lastly, we identified that the multimodal clusters uncovered cerebrospinal fluid biomarkers poised to monitor AD progression and possibly cognition. Our cross-omics analyses provide novel critical molecular insights into AD.
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Affiliation(s)
- Abdallah M. Eteleeb
- Department of Psychiatry, Washington University, Saint Louis, St. Louis, Missouri, United States of America
- The Charles F. and Joanne Knight Alzheimer Disease Research Center, Washington University, St. Louis, Missouri, United States of America
| | - Brenna C. Novotny
- Department of Psychiatry, Washington University, Saint Louis, St. Louis, Missouri, United States of America
| | - Carolina Soriano Tarraga
- Department of Psychiatry, Washington University, Saint Louis, St. Louis, Missouri, United States of America
| | - Christopher Sohn
- Department of Psychiatry, Washington University, Saint Louis, St. Louis, Missouri, United States of America
| | - Eliza Dhungel
- Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, North Carolina, United States of America
| | - Logan Brase
- Department of Psychiatry, Washington University, Saint Louis, St. Louis, Missouri, United States of America
| | - Aasritha Nallapu
- Department of Psychiatry, Washington University, Saint Louis, St. Louis, Missouri, United States of America
| | - Jared Buss
- Department of Psychiatry, Washington University, Saint Louis, St. Louis, Missouri, United States of America
| | - Fabiana Farias
- Department of Psychiatry, Washington University, Saint Louis, St. Louis, Missouri, United States of America
- NeuroGenomics and Informatics Center, Washington University, St. Louis, Missouri, United States of America
| | - Kristy Bergmann
- Department of Psychiatry, Washington University, Saint Louis, St. Louis, Missouri, United States of America
- NeuroGenomics and Informatics Center, Washington University, St. Louis, Missouri, United States of America
| | - Joseph Bradley
- Department of Psychiatry, Washington University, Saint Louis, St. Louis, Missouri, United States of America
- NeuroGenomics and Informatics Center, Washington University, St. Louis, Missouri, United States of America
| | - Joanne Norton
- Department of Psychiatry, Washington University, Saint Louis, St. Louis, Missouri, United States of America
- NeuroGenomics and Informatics Center, Washington University, St. Louis, Missouri, United States of America
| | - Jen Gentsch
- Department of Psychiatry, Washington University, Saint Louis, St. Louis, Missouri, United States of America
- NeuroGenomics and Informatics Center, Washington University, St. Louis, Missouri, United States of America
| | - Fengxian Wang
- Department of Psychiatry, Washington University, Saint Louis, St. Louis, Missouri, United States of America
- NeuroGenomics and Informatics Center, Washington University, St. Louis, Missouri, United States of America
| | - Albert A. Davis
- Department of Neurology, Washington University, St. Louis, Missouri, United States of America
- Hope Center for Neurological Disorders, Washington University, St. Louis, Missouri, United States of America
| | - John C. Morris
- The Charles F. and Joanne Knight Alzheimer Disease Research Center, Washington University, St. Louis, Missouri, United States of America
- Department of Neurology, Washington University, St. Louis, Missouri, United States of America
- Hope Center for Neurological Disorders, Washington University, St. Louis, Missouri, United States of America
| | - Celeste M. Karch
- Department of Psychiatry, Washington University, Saint Louis, St. Louis, Missouri, United States of America
- The Charles F. and Joanne Knight Alzheimer Disease Research Center, Washington University, St. Louis, Missouri, United States of America
- NeuroGenomics and Informatics Center, Washington University, St. Louis, Missouri, United States of America
- Hope Center for Neurological Disorders, Washington University, St. Louis, Missouri, United States of America
| | - Richard J. Perrin
- The Charles F. and Joanne Knight Alzheimer Disease Research Center, Washington University, St. Louis, Missouri, United States of America
- Department of Neurology, Washington University, St. Louis, Missouri, United States of America
- Hope Center for Neurological Disorders, Washington University, St. Louis, Missouri, United States of America
- Department of Pathology and Immunology, Washington University, St. Louis, Missouri, United States of America
| | - Bruno A. Benitez
- Department of Neurology and Neuroscience, Harvard Medical School and Beth Israel Deaconess Medical Center, Boston, Massachusetts, United States of America
| | - Oscar Harari
- Department of Psychiatry, Washington University, Saint Louis, St. Louis, Missouri, United States of America
- The Charles F. and Joanne Knight Alzheimer Disease Research Center, Washington University, St. Louis, Missouri, United States of America
- Hope Center for Neurological Disorders, Washington University, St. Louis, Missouri, United States of America
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Ceylan B, Düz E, Çakir T. Personalized Protein-Protein Interaction Networks Towards Unraveling the Molecular Mechanisms of Alzheimer's Disease. Mol Neurobiol 2024; 61:2120-2135. [PMID: 37855983 DOI: 10.1007/s12035-023-03690-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Accepted: 10/02/2023] [Indexed: 10/20/2023]
Abstract
Alzheimer's disease (AD) is a highly heterogenous neurodegenerative disease, and several omic-based datasets were generated in the last decade from the patients with the disease. However, the vast majority of studies evaluate these datasets in bulk by considering all the patients as a single group, which obscures the molecular differences resulting from the heterogeneous nature of the disease. In this study, we adopted a personalized approach and analyzed the transcriptome data from 403 patients individually by mapping the data on a human protein-protein interaction network. Patient-specific subnetworks were discovered and analyzed in terms of the genes in the subnetworks, enriched functional terms, and known AD genes. We identified several affected pathways that could not be captured by the bulk comparison. We also showed that our personalized findings point to patterns of alterations consistent with the recently suggested AD subtypes.
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Affiliation(s)
- Betül Ceylan
- Department of Bioengineering, Gebze Technical University, 41400, Gebze, Kocaeli, Turkey
| | - Elif Düz
- Department of Bioengineering, Gebze Technical University, 41400, Gebze, Kocaeli, Turkey
| | - Tunahan Çakir
- Department of Bioengineering, Gebze Technical University, 41400, Gebze, Kocaeli, Turkey.
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Qin Y, Huang Y, Lin W, Huang R, Li K, Han X, Ren Y. Neurotoxic effects induced by flunitrazepam and its metabolites in zebrafish: Oxidative stress, apoptosis, and histone hypoacetylation. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 917:170521. [PMID: 38290676 DOI: 10.1016/j.scitotenv.2024.170521] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Revised: 01/25/2024] [Accepted: 01/26/2024] [Indexed: 02/01/2024]
Abstract
Benzodiazepines (BZDs) have been widely detected in aquatic environments, but their neurotoxic effects and potential mechanisms are still unclear. This study focuses on flunitrazepam (FLZ) and its metabolite, 7-aminoflunitrazepam (7-FLZ), as representative psychotropic BZD. We investigated their neurotoxic effects on adult zebrafish following a 30-day exposure to environmentally relevant concentrations. The findings reveal that exposure to these drugs induces anxiety-like and aggressive behaviors in zebrafish. Additionally, notable morphological damage to brain tissue and mitochondrial structures was observed. Through TUNEL staining, an increase in apoptotic cells was detected in the brain tissue of the exposed group, accompanied by marked elevations in ROS and caspase-3/9 levels. The upregulation of apoptosis-related genes Bax, p53, and Bcl-2 confirmed the occurrence of apoptosis. Furthermore, exposure to the drugs resulted in decreased acetylation levels of brain histones H3 and H4. The upregulation of histone deacetylation enzyme genes (HDAC1, HDAC3, HDAC4, and HDAC6) supported this result. Molecular docking results suggest that compared to 7-FLZ, FLZ has a higher binding affinity with HDAC3 and HDAC4, explaining why it causes lower histone acetylation levels. This study in zebrafish elucidates the neurotoxicity and molecular mechanisms induced by FLZ and 7-FLZ, which is significant for further understanding the impact of BZDs on human health and assessing their ecological risks.
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Affiliation(s)
- Yingjun Qin
- School of Environment and Energy, South China University of Technology, Guangzhou 510006, PR China
| | - Yajing Huang
- Guangdong YueGang Water Supply Co. Ltd, Shenzhen 518021, PR China
| | - Wenting Lin
- School of Environment and Energy, South China University of Technology, Guangzhou 510006, PR China
| | - Rui Huang
- Guangdong YueGang Water Supply Co. Ltd, Shenzhen 518021, PR China
| | - Kan Li
- Anti-Drug Technology Center of Guangdong Province, Guangdong Provincial Key Laboratory of Psychoactive Substances Monitoring and Safety, Guangzhou 510230, PR China
| | - Xing Han
- Anti-Drug Technology Center of Guangdong Province, Guangdong Provincial Key Laboratory of Psychoactive Substances Monitoring and Safety, Guangzhou 510230, PR China
| | - Yuan Ren
- School of Environment and Energy, South China University of Technology, Guangzhou 510006, PR China; The Key Lab of Pollution Control and Ecosystem Restoration in Industry Clusters, Ministry of Education, Guangzhou 510006, PR China; The Key Laboratory of Environmental Protection and Eco-Remediation of Guangdong Regular Higher Education Institutions, Guangzhou 510006, PR China.
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Liu Y, Zeng JM, Zhao H, Ao CY, Ao LH, Ban JQ, Li J. Mechanism of KAT2A regulation of H3K36ac in manganese-induced oxidative damage to mitochondria in the nervous system and intervention by curcumin. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 273:116155. [PMID: 38417317 DOI: 10.1016/j.ecoenv.2024.116155] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/06/2024] [Revised: 02/20/2024] [Accepted: 02/23/2024] [Indexed: 03/01/2024]
Abstract
Excessive exposure to manganese in the environment or workplace is strongly linked to neurodegeneration and cognitive impairment, but the precise pathogenic mechanism and preventive measures are still not fully understood. The study aimed to investigate manganese -induced oxidative damage in the nervous system from an epigenetic perspective, focusing on the H3K36ac-dependent antioxidant pathway. Additionally, it sought to examine the potential of curcumin in preventing manganese-induced oxidative damage. Histopathology and transmission electron microscopy revealed that apoptosis and necrosis of neurons and mitochondrial ultrastructure damage were observed in the striatum of manganese-exposed rats. manganese suppressed the expression of mitochondrial antioxidant genes, leading to oxidative damage in the rats' striatum and SH-SY5Y cells. With higher doses of manganese, levels of histone acetyltransferase lysine acetyltransferase 2 A (KAT2A) expression and H3K36ac level decreased. ChIP-qPCR confirmed that H3K36ac enrichment in the promoter regions of antioxidant genes SOD2, PRDX3, and TXN2 was reduced in SH-SY5Y cells after manganese exposure, leading to decreased expression of these genes. Overexpression of KAT2A confirms that it attenuates manganese-induced mitochondrial oxidative damage by regulating H3K36ac levels, which in turn controls the expression of antioxidant genes SOD2, PRDX3, and TXN2 in the manganese-exposed cell model. Furthermore, curcumin might control H3K36ac levels by influencing KAT2A expression, boosting antioxidant genes expression, and reducing manganese-induced mitochondrial oxidative damage. In conclusion, the regulation of mitochondrial oxidative stress by histone acetylation may be an important mechanism of manganese-induced neurotoxicity. This regulation could be achieved by reducing the level of H3K36ac near the promoter region of mitochondrial-associated antioxidant genes via KAT2A. Curcumin mitigates manganese-induced oxidative damage in mitochondria and plays a crucial protective role in manganese-induced oxidative injury in the nervous system.
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Affiliation(s)
- Yan Liu
- School of Public Heath, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang ,Guizhou 561113, China
| | - Jia-Min Zeng
- School of Public Heath, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang ,Guizhou 561113, China
| | - Hua Zhao
- School of Public Heath, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang ,Guizhou 561113, China
| | - Chun-Yan Ao
- School of Public Heath, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang ,Guizhou 561113, China
| | - Li-Hong Ao
- School of Public Heath, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang ,Guizhou 561113, China
| | - Jia-Qi Ban
- School of Public Heath, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang ,Guizhou 561113, China..
| | - Jun Li
- School of Public Heath, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang ,Guizhou 561113, China..
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Qin Y, Yang P, He W, Li D, Zeng L, Li J, Zhou T, Peng J, Cao L, Huang W. Novel histone post-translational modifications in Alzheimer's disease: current advances and implications. Clin Epigenetics 2024; 16:39. [PMID: 38461320 PMCID: PMC10924326 DOI: 10.1186/s13148-024-01650-w] [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: 11/04/2023] [Accepted: 02/21/2024] [Indexed: 03/11/2024] Open
Abstract
Alzheimer's disease (AD) has a complex pathogenesis, and multiple studies have indicated that histone post-translational modifications, especially acetylation, play a significant role in it. With the development of mass spectrometry and proteomics, an increasing number of novel HPTMs, including lactoylation, crotonylation, β-hydroxybutyrylation, 2-hydroxyisobutyrylation, succinylation, and malonylation, have been identified. These novel HPTMs closely link substance metabolism to gene regulation, and an increasing number of relevant studies on the relationship between novel HPTMs and AD have become available. This review summarizes the current advances and implications of novel HPTMs in AD, providing insight into the deeper pathogenesis of AD and the development of novel drugs.
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Affiliation(s)
- Yuanyuan Qin
- Department of Nephrology, The Affiliated Hospital of Southwest Medical University, 25 Taiping Rd, Jiangyang District, Luzhou, 646000, Sichuan, People's Republic of China
- Metabolic Vascular Disease Key Laboratory of Sichuan Province, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, Sichuan, China
- Sichuan Clinical Research Center for Diabetes and Metabolic Diseases, Luzhou, 646000, Sichuan, China
- Sichuan Clinical Research Center for Nephropathy, Luzhou, 646000, Sichuan, China
| | - Ping Yang
- Department of Nephrology, The Affiliated Hospital of Southwest Medical University, 25 Taiping Rd, Jiangyang District, Luzhou, 646000, Sichuan, People's Republic of China
- Metabolic Vascular Disease Key Laboratory of Sichuan Province, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, Sichuan, China
- Sichuan Clinical Research Center for Diabetes and Metabolic Diseases, Luzhou, 646000, Sichuan, China
- Sichuan Clinical Research Center for Nephropathy, Luzhou, 646000, Sichuan, China
| | - Wanhong He
- Department of Nephrology, The Affiliated Hospital of Southwest Medical University, 25 Taiping Rd, Jiangyang District, Luzhou, 646000, Sichuan, People's Republic of China
- Metabolic Vascular Disease Key Laboratory of Sichuan Province, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, Sichuan, China
- Sichuan Clinical Research Center for Diabetes and Metabolic Diseases, Luzhou, 646000, Sichuan, China
- Sichuan Clinical Research Center for Nephropathy, Luzhou, 646000, Sichuan, China
| | - Dongze Li
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Southwest Medical University, 25 Taiping Rd, Jiangyang District, Luzhou, 646000, Sichuan, People's Republic of China
- Metabolic Vascular Disease Key Laboratory of Sichuan Province, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, Sichuan, China
- Sichuan Clinical Research Center for Diabetes and Metabolic Diseases, Luzhou, 646000, Sichuan, China
| | - Lisha Zeng
- Department of Nephrology, The Affiliated Hospital of Southwest Medical University, 25 Taiping Rd, Jiangyang District, Luzhou, 646000, Sichuan, People's Republic of China
| | - Junle Li
- Department of Nephrology, The Affiliated Hospital of Southwest Medical University, 25 Taiping Rd, Jiangyang District, Luzhou, 646000, Sichuan, People's Republic of China
- Metabolic Vascular Disease Key Laboratory of Sichuan Province, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, Sichuan, China
- Sichuan Clinical Research Center for Diabetes and Metabolic Diseases, Luzhou, 646000, Sichuan, China
- Sichuan Clinical Research Center for Nephropathy, Luzhou, 646000, Sichuan, China
| | - Tingting Zhou
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Southwest Medical University, 25 Taiping Rd, Jiangyang District, Luzhou, 646000, Sichuan, People's Republic of China
- Metabolic Vascular Disease Key Laboratory of Sichuan Province, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, Sichuan, China
- Sichuan Clinical Research Center for Diabetes and Metabolic Diseases, Luzhou, 646000, Sichuan, China
- Sichuan Clinical Research Center for Nephropathy, Luzhou, 646000, Sichuan, China
| | - Juan Peng
- Department of Rehabilitation, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, Sichuan, China
| | - Ling Cao
- Department of Nephrology, The Affiliated Hospital of Southwest Medical University, 25 Taiping Rd, Jiangyang District, Luzhou, 646000, Sichuan, People's Republic of China.
- Sichuan Clinical Research Center for Diabetes and Metabolic Diseases, Luzhou, 646000, Sichuan, China.
| | - Wei Huang
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Southwest Medical University, 25 Taiping Rd, Jiangyang District, Luzhou, 646000, Sichuan, People's Republic of China.
- Metabolic Vascular Disease Key Laboratory of Sichuan Province, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, Sichuan, China.
- Sichuan Clinical Research Center for Diabetes and Metabolic Diseases, Luzhou, 646000, Sichuan, China.
- Sichuan Clinical Research Center for Nephropathy, Luzhou, 646000, Sichuan, China.
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Chen Y, Li Z, Ge X, Lv H, Geng Z. Identification of novel hub genes for Alzheimer's disease associated with the hippocampus using WGCNA and differential gene analysis. Front Neurosci 2024; 18:1359631. [PMID: 38516314 PMCID: PMC10954837 DOI: 10.3389/fnins.2024.1359631] [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: 12/21/2023] [Accepted: 02/28/2024] [Indexed: 03/23/2024] Open
Abstract
Background Alzheimer's disease (AD) is a common, refractory, progressive neurodegenerative disorder in which cognitive and memory deficits are highly correlated with abnormalities in hippocampal brain regions. There is still a lack of hippocampus-related markers for AD diagnosis and prevention. Methods Differently expressed genes were identified in the gene expression profile GSE293789 in the hippocampal brain region. Enrichment analyses GO, KEGG, and GSEA were used to identify biological pathways involved in the DEGs and AD-related group. WGCNA was used to identify the gene modules that are highly associated with AD in the samples. The intersecting genes of the genes in DEGs and modules were extracted and the top ten ranked hub genes were identified. Finally GES48350 was used as a validation cohort to predict the diagnostic efficacy of hub genes. Results From GSE293789, 225 DEGs were identified, which were mainly associated with calcium response, glutamatergic synapses, and calcium-dependent phospholipid-binding response. WGCNA analysis yielded dark green and bright yellow modular genes as the most relevant to AD. From these two modules, 176 genes were extracted, which were taken to be intersected with DEGs, yielding 51 intersecting genes. Then 10 hub genes were identified in them: HSPA1B, HSPB1, HSPA1A, DNAJB1, HSPB8, ANXA2, ANXA1, SOX9, YAP1, and AHNAK. Validation of these genes was found to have excellent diagnostic performance. Conclusion Ten AD-related hub genes in the hippocampus were identified, contributing to further understanding of AD development in the hippocampus and development of targets for therapeutic prevention.
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Affiliation(s)
- Yang Chen
- Graduate School, Hebei Medical University, Shijiazhuang, China
| | - Zhaoxiang Li
- Department of Immunology and Pathogenic Biology, Yanbian University Medical College, Yanji, China
| | - Xin Ge
- Science and Education Section, Baoding First Central Hospital, Baoding, China
| | - Huandi Lv
- Department of Medical Imaging, The Second Hospital of Hebei Medical University, Shijiazhuang, China
| | - Zuojun Geng
- Department of Medical Imaging, The Second Hospital of Hebei Medical University, Shijiazhuang, China
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Song L, Pan Q, Zhou G, Liu S, Zhu B, Lin P, Hu X, Zha J, Long Y, Luo B, Chen J, Tang Y, Tang J, Xiang X, Xie X, Deng X, Chen G. SHMT2 Mediates Small-Molecule-Induced Alleviation of Alzheimer Pathology Via the 5'UTR-dependent ADAM10 Translation Initiation. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024; 11:e2305260. [PMID: 38183387 PMCID: PMC10953581 DOI: 10.1002/advs.202305260] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/30/2023] [Revised: 11/27/2023] [Indexed: 01/08/2024]
Abstract
It is long been suggested that one-carbon metabolism (OCM) is associated with Alzheimer's disease (AD), whereas the potential mechanisms remain poorly understood. Taking advantage of chemical biology, that mitochondrial serine hydroxymethyltransferase (SHMT2) directly regulated the translation of ADAM metallopeptidase domain 10 (ADAM10), a therapeutic target for AD is reported. That the small-molecule kenpaullone (KEN) promoted ADAM10 translation via the 5' untranslated region (5'UTR) and improved cognitive functions in APP/PS1 mice is found. SHMT2, which is identified as a target gene of KEN and the 5'UTR-interacting RNA binding protein (RBP), mediated KEN-induced ADAM10 translation in vitro and in vivo. SHMT2 controls AD signaling pathways through binding to a large number of RNAs and enhances the 5'UTR activity of ADAM10 by direct interaction with GAGGG motif, whereas this motif affected ribosomal scanning of eukaryotic initiation factor 2 (eIF2) in the 5'UTR. Together, KEN exhibits therapeutic potential for AD by linking OCM with RNA processing, in which the metabolic enzyme SHMT2 "moonlighted" as RBP by binding to GAGGG motif and promoting the 5'UTR-dependent ADAM10 translation initiation.
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Affiliation(s)
- Li Song
- Department of NeurologyChongqing Key Laboratory of Major Neurological and Mental DisordersThe First Affiliated Hospital of Chongqing Medical UniversityChongqing400016China
| | - Qiu‐Ling Pan
- Department of NeurologyChongqing Key Laboratory of Major Neurological and Mental DisordersThe First Affiliated Hospital of Chongqing Medical UniversityChongqing400016China
| | - Gui‐Feng Zhou
- Department of NeurologyChongqing Key Laboratory of Major Neurological and Mental DisordersThe First Affiliated Hospital of Chongqing Medical UniversityChongqing400016China
| | - Sheng‐Wei Liu
- Department of PharmacyYongchuan Hospital of Chongqing Medical UniversityChongqing402160China
| | - Bing‐Lin Zhu
- Department of NeurologyChongqing Key Laboratory of Major Neurological and Mental DisordersThe First Affiliated Hospital of Chongqing Medical UniversityChongqing400016China
| | - Pei‐Jia Lin
- Department of NeurologyChongqing Key Laboratory of Major Neurological and Mental DisordersThe First Affiliated Hospital of Chongqing Medical UniversityChongqing400016China
| | - Xiao‐Tong Hu
- Department of NeurologyChongqing Key Laboratory of Major Neurological and Mental DisordersThe First Affiliated Hospital of Chongqing Medical UniversityChongqing400016China
- Department of Health ManagementDaping HospitalArmy Medical universityChongqing400042China
| | - Jing‐Si Zha
- Department of NeurologyChongqing Key Laboratory of Major Neurological and Mental DisordersThe First Affiliated Hospital of Chongqing Medical UniversityChongqing400016China
- Department of Internal MedicineThe Southwest University HospitalChongqing400715China
| | - Yan Long
- Department of NeurologyChongqing Key Laboratory of Major Neurological and Mental DisordersThe First Affiliated Hospital of Chongqing Medical UniversityChongqing400016China
- Department of Geriatric MedicineDaping HospitalArmy Medical universityChongqing400042China
| | - Biao Luo
- Department of NeurologyChongqing Key Laboratory of Major Neurological and Mental DisordersThe First Affiliated Hospital of Chongqing Medical UniversityChongqing400016China
| | - Jian Chen
- Department of NeurologyChongqing Key Laboratory of Major Neurological and Mental DisordersThe First Affiliated Hospital of Chongqing Medical UniversityChongqing400016China
| | - Ying Tang
- Department of NeurologyChongqing Key Laboratory of Major Neurological and Mental DisordersThe First Affiliated Hospital of Chongqing Medical UniversityChongqing400016China
- Department of NeurologyWest China HospitalSichuan UniversityChengdu610041China
| | - Jing Tang
- Department of NeurologyChongqing Key Laboratory of Major Neurological and Mental DisordersThe First Affiliated Hospital of Chongqing Medical UniversityChongqing400016China
| | - Xiao‐Jiao Xiang
- Department of NeurologyChongqing Key Laboratory of Major Neurological and Mental DisordersThe First Affiliated Hospital of Chongqing Medical UniversityChongqing400016China
- Department of Nuclear MedicineThe Second Affiliated Hospital of Chongqing Medical UniversityChongqing400010China
| | - Xiao‐Yong Xie
- Department of NeurologyChongqing Key Laboratory of Major Neurological and Mental DisordersThe First Affiliated Hospital of Chongqing Medical UniversityChongqing400016China
| | - Xiao‐Juan Deng
- Department of NeurologyChongqing Key Laboratory of Major Neurological and Mental DisordersThe First Affiliated Hospital of Chongqing Medical UniversityChongqing400016China
| | - Guo‐Jun Chen
- Department of NeurologyChongqing Key Laboratory of Major Neurological and Mental DisordersThe First Affiliated Hospital of Chongqing Medical UniversityChongqing400016China
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44
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Lv J, Liu X, Sun Z, Gao J, Yu X, Zhang M, Zhang Z, Ren S, Zuo Y. STEAP3 promotes colon cancer cell proliferation and migration via regulating histone acetylation. Hum Genet 2024; 143:343-355. [PMID: 38480539 DOI: 10.1007/s00439-024-02646-5] [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: 07/07/2023] [Accepted: 01/19/2024] [Indexed: 04/25/2024]
Abstract
Colorectal cancer (CRC) is the third most prevalent diagnosed cancer in men and second most prevalent cancer in women. H3K27ac alterations are more commonly than gene mutations in colorectal cancer. Most colorectal cancer genes have significant H3K27ac changes, which leads to an over-expression disorder in gene transcription. Over-expression of STEAP3 is involved in a variety of tumors, participating in the regulation of cancer cell proliferation and migration. The purpose of this work is to investigate the role of STEAP3 in the regulation of histone modification (H3K27ac) expression in colon cancer. Bioinformatic ChIP-seq, ChIP-qPCR and ATAC-seq were used to analyze the histone modification properties and gene accessibility of STEAP3. Western blot and qRT-PCR were used to evaluate relative protein and gene expression, respectively. CRISPR/Cas9 technology was used to knockout STEAP3 on colon cancer cells to analyze the effect of ATF3 on STEAP3. STEAP3 was over-expressed in colon cancer and associated with higher metastases and more invasive and worse stage of colon cancer. ChIP-seq and ChIP-qPCR analyses revealed significant enrichment of H3K27ac in the STEAP3 gene. In addition, knocking down STEAP3 significantly inhibits colon cancer cell proliferation and migration and down-regulates H3K27ac expression. ChIP-seq found that ATF3 is enriched in the STEAP3 gene and CRISPR/Cas9 technology used for the deletion of the ATF3 binding site suppresses the expression of STEAP3. Over-expression of STEAP3 promotes colon cancer cell proliferation and migration. Mechanical studies have indicated that H3K27ac and ATF3 are significantly enriched in the STEAP3 gene and regulate the over-expression of STEAP3.
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Affiliation(s)
- Jinjuan Lv
- Department of Clinical Biochemistry, College of Laboratory Diagnostic Medicine, Dalian Medical University, Dalian, 116044, China
| | - Xiaoqian Liu
- Department of Clinical Biochemistry, College of Laboratory Diagnostic Medicine, Dalian Medical University, Dalian, 116044, China
| | - Zhiwei Sun
- Department of Gastrointestinal Surgery, The Second Affiliated Hospital of Dalian Medical University, Dalian, 116023, China
| | - Jianfeng Gao
- Department of Gastrointestinal Surgery, The Second Affiliated Hospital of Dalian Medical University, Dalian, 116023, China
| | - Xiaoqi Yu
- Department of Clinical Biochemistry, College of Laboratory Diagnostic Medicine, Dalian Medical University, Dalian, 116044, China
| | - Mengyan Zhang
- Department of Medical Laboratory, Jining No. 1 People's Hospital, No. 6, Jiankang Road, Jining, 272011, China
| | - Zhenyu Zhang
- Department of Clinical Biochemistry, College of Laboratory Diagnostic Medicine, Dalian Medical University, Dalian, 116044, China
| | - Shuangyi Ren
- Department of Gastrointestinal Surgery, The Second Affiliated Hospital of Dalian Medical University, Dalian, 116023, China.
| | - Yunfei Zuo
- Department of Clinical Biochemistry, College of Laboratory Diagnostic Medicine, Dalian Medical University, Dalian, 116044, China.
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45
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Omidsalar AA, McCullough CG, Xu L, Boedijono S, Gerke D, Webb MG, Manojlovic Z, Sequeira A, Lew MF, Santorelli M, Serrano GE, Beach TG, Limon A, Vawter MP, Hjelm BE. Common mitochondrial deletions in RNA-Seq: evaluation of bulk, single-cell, and spatial transcriptomic datasets. Commun Biol 2024; 7:200. [PMID: 38368460 PMCID: PMC10874445 DOI: 10.1038/s42003-024-05877-4] [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: 03/15/2023] [Accepted: 01/31/2024] [Indexed: 02/19/2024] Open
Abstract
Common mitochondrial DNA (mtDNA) deletions are large structural variants in the mitochondrial genome that accumulate in metabolically active tissues with age and have been investigated in various diseases. We applied the Splice-Break2 pipeline (designed for high-throughput quantification of mtDNA deletions) to human RNA-Seq datasets and describe the methodological considerations for evaluating common deletions in bulk, single-cell, and spatial transcriptomics datasets. A robust evaluation of 1570 samples from 14 RNA-Seq studies showed: (i) the abundance of some common deletions detected in PCR-amplified mtDNA correlates with levels observed in RNA-Seq data; (ii) RNA-Seq library preparation method has a strong effect on deletion detection; (iii) deletions had a significant, positive correlation with age in brain and muscle; (iv) deletions were enriched in cortical grey matter, specifically in layers 3 and 5; and (v) brain regions with dopaminergic neurons (i.e., substantia nigra, ventral tegmental area, and caudate nucleus) had remarkable enrichment of common mtDNA deletions.
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Affiliation(s)
- Audrey A Omidsalar
- Department of Translational Genomics, Keck School of Medicine of USC, Los Angeles, CA, USA
| | - Carmel G McCullough
- Department of Translational Genomics, Keck School of Medicine of USC, Los Angeles, CA, USA
| | - Lili Xu
- Department of Translational Genomics, Keck School of Medicine of USC, Los Angeles, CA, USA
| | - Stanley Boedijono
- Department of Translational Genomics, Keck School of Medicine of USC, Los Angeles, CA, USA
| | - Daniel Gerke
- Department of Translational Genomics, Keck School of Medicine of USC, Los Angeles, CA, USA
| | - Michelle G Webb
- Department of Translational Genomics, Keck School of Medicine of USC, Los Angeles, CA, USA
| | - Zarko Manojlovic
- Department of Translational Genomics, Keck School of Medicine of USC, Los Angeles, CA, USA
| | - Adolfo Sequeira
- Department of Psychiatry and Human Behavior, University of California - Irvine (UCI) School of Medicine, Irvine, CA, USA
| | - Mark F Lew
- Department of Neurology, Keck School of Medicine of USC, Los Angeles, CA, USA
| | - Marco Santorelli
- Department of Stem Cell Biology and Regenerative Medicine, Keck School of Medicine of USC, Los Angeles, CA, USA
| | - Geidy E Serrano
- Banner Sun Health Research Institute (BSHRI), Sun City, AZ, USA
| | - Thomas G Beach
- Banner Sun Health Research Institute (BSHRI), Sun City, AZ, USA
| | - Agenor Limon
- Mitchell Center for Neurodegenerative Diseases, Department of Neurology, School of Medicine, University of Texas Medical Branch, Galveston, TX, USA
| | - Marquis P Vawter
- Department of Psychiatry and Human Behavior, University of California - Irvine (UCI) School of Medicine, Irvine, CA, USA
| | - Brooke E Hjelm
- Department of Translational Genomics, Keck School of Medicine of USC, Los Angeles, CA, USA.
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46
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Abbasi EY, Deng Z, Ali Q, Khan A, Shaikh A, Reshan MSA, Sulaiman A, Alshahrani H. A machine learning and deep learning-based integrated multi-omics technique for leukemia prediction. Heliyon 2024; 10:e25369. [PMID: 38352790 PMCID: PMC10862685 DOI: 10.1016/j.heliyon.2024.e25369] [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: 08/25/2023] [Revised: 12/13/2023] [Accepted: 01/25/2024] [Indexed: 02/16/2024] Open
Abstract
In recent years, scientific data on cancer has expanded, providing potential for a better understanding of malignancies and improved tailored care. Advances in Artificial Intelligence (AI) processing power and algorithmic development position Machine Learning (ML) and Deep Learning (DL) as crucial players in predicting Leukemia, a blood cancer, using integrated multi-omics technology. However, realizing these goals demands novel approaches to harness this data deluge. This study introduces a novel Leukemia diagnosis approach, analyzing multi-omics data for accuracy using ML and DL algorithms. ML techniques, including Random Forest (RF), Naive Bayes (NB), Decision Tree (DT), Logistic Regression (LR), Gradient Boosting (GB), and DL methods such as Recurrent Neural Networks (RNN) and Feedforward Neural Networks (FNN) are compared. GB achieved 97 % accuracy in ML, while RNN outperformed by achieving 98 % accuracy in DL. This approach filters unclassified data effectively, demonstrating the significance of DL for leukemia prediction. The testing validation was based on 17 different features such as patient age, sex, mutation type, treatment methods, chromosomes, and others. Our study compares ML and DL techniques and chooses the best technique that gives optimum results. The study emphasizes the implications of high-throughput technology in healthcare, offering improved patient care.
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Affiliation(s)
- Erum Yousef Abbasi
- State Key Laboratory of Wireless Network Positioning and Communication Engineering Integration Research, School of Electronics Engineering, Beijing University of Posts and Telecommunications, Beijing, China
| | - Zhongliang Deng
- State Key Laboratory of Wireless Network Positioning and Communication Engineering Integration Research, School of Electronics Engineering, Beijing University of Posts and Telecommunications, Beijing, China
| | - Qasim Ali
- Department of Software Engineering, Mehran University of Engineering and Technology, Jamshoro, Pakistan
| | - Adil Khan
- State Key Laboratory of Wireless Network Positioning and Communication Engineering Integration Research, School of Electronics Engineering, Beijing University of Posts and Telecommunications, Beijing, China
| | - Asadullah Shaikh
- Department of Information Systems, College of Computer Science and Information Systems, Najran University, Najran, 61441, Saudi Arabia
| | - Mana Saleh Al Reshan
- Department of Information Systems, College of Computer Science and Information Systems, Najran University, Najran, 61441, Saudi Arabia
- Scientific and Engineering Research Centre, Najran University, Najran, 61441, Saudi Arabia
| | - Adel Sulaiman
- Department of Computer Science, College of Computer Science and Information Systems, Najran University, Najran, 61441, Saudi Arabia
| | - Hani Alshahrani
- Department of Computer Science, College of Computer Science and Information Systems, Najran University, Najran, 61441, Saudi Arabia
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Sichani AS, Khoddam S, Shakeri S, Tavakkoli Z, Jafroodi AR, Dabbaghipour R, Sisakht M, Fallahi J. Partial Reprogramming as a Method for Regenerating Neural Tissues in Aged Organisms. Cell Reprogram 2024; 26:10-23. [PMID: 38381402 DOI: 10.1089/cell.2023.0123] [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] [Indexed: 02/22/2024] Open
Abstract
Aging causes numerous age-related diseases, leading the human species to death. Nevertheless, rejuvenating strategies based on cell epigenetic modifications are a possible approach to counteract disease progression while getting old. Cell reprogramming of adult somatic cells toward pluripotency ought to be a promising tool for age-related diseases. However, researchers do not have control over this process as cells lose their fate, and cause potential cancerous cells or unexpected cell phenotypes. Direct and partial reprogramming were introduced in recent years with distinctive applications. Although direct reprogramming makes cells lose their identity, it has various applications in regeneration medicine. Temporary and regulated in vivo overexpression of Yamanaka factors has been shown in several experimental contexts to be achievable and is used to rejuvenate mice models. This regeneration can be accomplished by altering the epigenetic adult cell signature to the signature of a younger cell. The greatest advantage of partial reprogramming is that this method does not allow cells to lose their identity when they are resetting their epigenetic clock. It is a regimen of short-term Oct3/4, Sox2, Klf4, and c-Myc expression in vivo that prevents full reprogramming to the pluripotent state and avoids both tumorigenesis and the presence of unwanted undifferentiated cells. We know that many neurological age-related diseases, such as Alzheimer's disease, stroke, dementia, and Parkinson's disease, are the main cause of death in the last decades of life. Therefore, scientists have a special tendency regarding neuroregeneration methods to increase human life expectancy.
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Affiliation(s)
- Ali Saber Sichani
- Department of Biology, Texas A&M University, College Station, Texas, USA
| | - Somayeh Khoddam
- Department of Medical Genetics, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Shayan Shakeri
- Department of Medical Genetics, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Zahra Tavakkoli
- Department of Medical Genetics, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Arad Ranji Jafroodi
- Department of Medical Genetics, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Reza Dabbaghipour
- Department of Medical Genetics, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Mohsen Sisakht
- Department of Molecular Medicine, School of Advanced Medical Sciences and Technologies, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Jafar Fallahi
- Department of Molecular Medicine, School of Advanced Medical Sciences and Technologies, Shiraz University of Medical Sciences, Shiraz, Iran
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48
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Tan Y, Nie DR, Cao Y, Ke C, Pan J, Shi WY, Zhang W. Trends in the application of "omics" to Alzheimer's disease: a bibliometric and visualized study. Neurol Sci 2024; 45:401-416. [PMID: 37749399 DOI: 10.1007/s10072-023-07079-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Accepted: 09/15/2023] [Indexed: 09/27/2023]
Abstract
BACKGROUND Alzheimer's disease (AD) is a progressive neurodegenerative disease with an insidious onset. The widespread application of omics techniques in AD has attracted considerable attention. We aimed to make a comprehensive analysis of published omics articles on AD in order to determine the research profile and application trends of omics techniques in AD. METHODS This study utilizes bibliometric and visual methods including a map collaboration map, co-citations, and keywords to identify knowledge structures, hot topics, and research trends based on 6,828 publications from the Web of Science Core Collection (WoSCC) database. RESULTS The results of this study showed that 5654 institutions from 91 countries published articles in this field. The USA, China, and the UK played a leading role in publishing numerous articles in relevant journals as well as prolific institutions and authors, respectively. This paper collects a large number of literatures on the application of AD omics technology from the WoSCC database and found the omics technology applied to AD is mainly based on genomics technology. The application of transcriptomics technology has shown an increasing trend in recent years, and the application of multi-omics technology will be the general trend in the future. CONCLUSION The development status, frontier hotspots, and general trends of omics application technologies are reviewed. This article will provide intelligence support to researchers and institutions in the field of Alzheimer's omics research and applications from a practical perspective.
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Affiliation(s)
- Yan Tan
- Department of Acupuncture-Moxibustion and Tuina, The First Affiliated Hospital of Hunan University of Chinese Medicine, Changsha, China
| | - Duo Rui Nie
- Graduate School, Hunan University of Chinese Medicine, Changsha, China
| | - Yang Cao
- Department of Acupuncture-Moxibustion and Tuina, The First Affiliated Hospital of Hunan University of Chinese Medicine, Changsha, China
| | - Chao Ke
- Department of Acupuncture-Moxibustion and Tuina, The First Affiliated Hospital of Hunan University of Chinese Medicine, Changsha, China
| | - Jiang Pan
- Department of Acupuncture-Moxibustion and Tuina, The First Affiliated Hospital of Hunan University of Chinese Medicine, Changsha, China
| | - Wen Ying Shi
- Department of Acupuncture-Moxibustion and Tuina, The First Affiliated Hospital of Hunan University of Chinese Medicine, Changsha, China
| | - Wei Zhang
- Department of Acupuncture-Moxibustion and Tuina, The First Affiliated Hospital of Hunan University of Chinese Medicine, Changsha, China.
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49
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Wu Z, Zhang W, Qu J, Liu GH. Emerging epigenetic insights into aging mechanisms and interventions. Trends Pharmacol Sci 2024; 45:157-172. [PMID: 38216430 DOI: 10.1016/j.tips.2023.12.002] [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: 11/21/2023] [Revised: 12/12/2023] [Accepted: 12/13/2023] [Indexed: 01/14/2024]
Abstract
Epigenetic dysregulation emerges as a critical hallmark and driving force of aging. Although still an evolving field with much to explore, it has rapidly gained significance by providing valuable insights into the mechanisms of aging and potential therapeutic opportunities for age-related diseases. Recent years have witnessed remarkable strides in our understanding of the epigenetic landscape of aging, encompassing pivotal elements, such as DNA methylation, histone modifications, RNA modifications, and noncoding (nc) RNAs. Here, we review the latest discoveries that shed light on new epigenetic mechanisms and critical targets for predicting and intervening in aging and related disorders. Furthermore, we explore burgeoning interventions and exemplary clinical trials explicitly designed to foster healthy aging, while contemplating the potential ramifications of epigenetic influences.
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Affiliation(s)
- Zeming Wu
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China; Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing 100101, China; Beijing Institute for Stem Cell and Regenerative Medicine, Beijing 100101, China
| | - Weiqi Zhang
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China; China National Center for Bioinformation, Beijing 100101, China; CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
| | - Jing Qu
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing 100101, China; Beijing Institute for Stem Cell and Regenerative Medicine, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China; State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China.
| | - Guang-Hui Liu
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China; Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing 100101, China; Beijing Institute for Stem Cell and Regenerative Medicine, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China; Advanced Innovation Center for Human Brain Protection, and National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing 100053, China; Aging Translational Medicine Center, International Center for Aging and Cancer, Xuanwu Hospital, Capital Medical University, Beijing 100053, China.
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50
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Liu Y, Tan Y, Zhang Z, Yi M, Zhu L, Peng W. The interaction between ageing and Alzheimer's disease: insights from the hallmarks of ageing. Transl Neurodegener 2024; 13:7. [PMID: 38254235 PMCID: PMC10804662 DOI: 10.1186/s40035-024-00397-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Revised: 12/31/2023] [Accepted: 01/02/2024] [Indexed: 01/24/2024] Open
Abstract
Ageing is a crucial risk factor for Alzheimer's disease (AD) and is characterised by systemic changes in both intracellular and extracellular microenvironments that affect the entire body instead of a single organ. Understanding the specific mechanisms underlying the role of ageing in disease development can facilitate the treatment of ageing-related diseases, such as AD. Signs of brain ageing have been observed in both AD patients and animal models. Alleviating the pathological changes caused by brain ageing can dramatically ameliorate the amyloid beta- and tau-induced neuropathological and memory impairments, indicating that ageing plays a crucial role in the pathophysiological process of AD. In this review, we summarize the impact of several age-related factors on AD and propose that preventing pathological changes caused by brain ageing is a promising strategy for improving cognitive health.
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Affiliation(s)
- Yuqing Liu
- Department of Integrated Traditional Chinese and Western Medicine, The Second Xiangya Hospital, Central South University, No.139 Middle Renmin Road, Changsha, 410011, Hunan, People's Republic of China
- National Clinical Research Center for Metabolic Diseases, Changsha, 410011, People's Republic of China
| | - Yejun Tan
- School of Mathematics, University of Minnesota Twin Cities, Minneapolis, MN, 55455, USA
| | - Zheyu Zhang
- Department of Integrated Traditional Chinese and Western Medicine, The Second Xiangya Hospital, Central South University, No.139 Middle Renmin Road, Changsha, 410011, Hunan, People's Republic of China
- National Clinical Research Center for Metabolic Diseases, Changsha, 410011, People's Republic of China
| | - Min Yi
- Department of Integrated Traditional Chinese and Western Medicine, The Second Xiangya Hospital, Central South University, No.139 Middle Renmin Road, Changsha, 410011, Hunan, People's Republic of China
- National Clinical Research Center for Metabolic Diseases, Changsha, 410011, People's Republic of China
| | - Lemei Zhu
- Academician Workstation, Changsha Medical University, Changsha, 410219, People's Republic of China
| | - Weijun Peng
- Department of Integrated Traditional Chinese and Western Medicine, The Second Xiangya Hospital, Central South University, No.139 Middle Renmin Road, Changsha, 410011, Hunan, People's Republic of China.
- National Clinical Research Center for Metabolic Diseases, Changsha, 410011, People's Republic of China.
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