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Kozlova A, Zhang S, Sudwarts A, Zhang H, Smirnou S, Sun X, Stephenson K, Zhao X, Jamison B, Ponnusamy M, He X, Pang ZP, Sanders AR, Bellen HJ, Thinakaran G, Duan J. Alzheimer's disease risk allele of PICALM causes detrimental lipid droplets in microglia. RESEARCH SQUARE 2024:rs.3.rs-4407146. [PMID: 38826437 PMCID: PMC11142308 DOI: 10.21203/rs.3.rs-4407146/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/04/2024]
Abstract
Despite genome-wide association studies of late-onset Alzheimer's disease (LOAD) having identified many genetic risk loci1-6, the underlying disease mechanisms remain largely unknown. Determining causal disease variants and their LOAD-relevant cellular phenotypes has been a challenge. Leveraging our approach for identifying functional GWAS risk variants showing allele-specific open chromatin (ASoC)7, we systematically identified putative causal LOAD risk variants in human induced pluripotent stem cells (iPSC)-derived neurons, astrocytes, and microglia (MG) and linked PICALM risk allele to a previously unappreciated MG-specific role of PICALM in lipid droplet (LD) accumulation. ASoC mapping uncovered functional risk variants for 26 LOAD risk loci, mostly MG-specific. At the MG-specific PICALM locus, the LOAD risk allele of rs10792832 reduced transcription factor (PU.1) binding and PICALM expression, impairing the uptake of amyloid beta (Aβ) and myelin debris. Interestingly, MG with PICALM risk allele showed transcriptional enrichment of pathways for cholesterol synthesis and LD formation. Genetic and pharmacological perturbations of MG further established a causal link between the reduced PICALM expression, LD accumulation, and phagocytosis deficits. Our work elucidates the selective LOAD vulnerability in microglia for the PICALM locus through detrimental LD accumulation, providing a neurobiological basis that can be exploited for developing novel clinical interventions.
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Affiliation(s)
- Alena Kozlova
- Center for Psychiatric Genetics, NorthShore University HealthSystem, Evanston, IL 60201, USA
| | - Siwei Zhang
- Center for Psychiatric Genetics, NorthShore University HealthSystem, Evanston, IL 60201, USA
- Department of Psychiatry and Behavioral Neuroscience, The University of Chicago, Chicago, IL 60637, USA
| | - Ari Sudwarts
- Byrd Alzheimer’s Center and Research Institute, University of South Florida, Tampa, FL 33613, USA
- Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL 33612, USA
| | - Hanwen Zhang
- Center for Psychiatric Genetics, NorthShore University HealthSystem, Evanston, IL 60201, USA
| | - Stanislau Smirnou
- Byrd Alzheimer’s Center and Research Institute, University of South Florida, Tampa, FL 33613, USA
- Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL 33612, USA
| | - Xiaotong Sun
- Department of Human Genetics, The University of Chicago, Chicago, IL 60637, USA
| | - Kimberly Stephenson
- Center for Psychiatric Genetics, NorthShore University HealthSystem, Evanston, IL 60201, USA
| | - Xiaojie Zhao
- Center for Psychiatric Genetics, NorthShore University HealthSystem, Evanston, IL 60201, USA
| | - Brendan Jamison
- Center for Psychiatric Genetics, NorthShore University HealthSystem, Evanston, IL 60201, USA
| | - Moorthi Ponnusamy
- Byrd Alzheimer’s Center and Research Institute, University of South Florida, Tampa, FL 33613, USA
- Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL 33612, USA
| | - Xin He
- Department of Human Genetics, The University of Chicago, Chicago, IL 60637, USA
- Department of Neuroscience and Cell Biology, Child Health Institute of New Jersey, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ 08901, USA
| | - Zhiping P. Pang
- Grossman Institute for Neuroscience, Quantitative Biology and Human Behavior, The University of Chicago, Chicago, IL 60637, USA
| | - Alan R. Sanders
- Center for Psychiatric Genetics, NorthShore University HealthSystem, Evanston, IL 60201, USA
- Department of Psychiatry and Behavioral Neuroscience, The University of Chicago, Chicago, IL 60637, USA
| | - Hugo J. Bellen
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
- Jan and Dan Duncan Neurological Research Institute, Texas Children’s Hospital, Houston, TX 77030, USA
- Department of Neuroscience, Baylor College of Medicine, Houston, TX 77030, USA
| | - Gopal Thinakaran
- Byrd Alzheimer’s Center and Research Institute, University of South Florida, Tampa, FL 33613, USA
- Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL 33612, USA
| | - Jubao Duan
- Center for Psychiatric Genetics, NorthShore University HealthSystem, Evanston, IL 60201, USA
- Department of Psychiatry and Behavioral Neuroscience, The University of Chicago, Chicago, IL 60637, USA
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Wang T, Zhang X, Liu W, Ning F, Hu X, Qin L, Cui M, Yang J, Lv S, Wang Q. Identification of diagnostic molecules and potential traditional Chinese medicine components for Alzheimer's disease by single cell RNA sequencing combined with a systematic framework for network pharmacology. Front Med (Lausanne) 2024; 10:1335512. [PMID: 38249960 PMCID: PMC10799563 DOI: 10.3389/fmed.2023.1335512] [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: 11/09/2023] [Accepted: 12/13/2023] [Indexed: 01/23/2024] Open
Abstract
Background Single-cell RNA sequencing (scRNA-Seq) provides new perspectives and ideas to investigate the interactions between different cell types and organisms. By integrating scRNA-seq with new computational frameworks or specific technologies, better Alzheimer's disease (AD) treatments may be developed. Methods The single-cell sequencing dataset GSE158234 was obtained from the GEO database. Preprocessing, quality control, dimensionality-reducing clustering, and annotation to identify cell types were performed on it. RNA-seq profiling dataset GSE238013 was used to determine the components of specific cell subpopulations in diverse samples. A set of genes included in the OMIM, Genecards, CTD, and DisGeNET databases were selected as highly plausible AD-related genes. Then, ROC curves were created to predict the diagnostic value using the significantly expressed genes in the KO group as hub genes. The genes mentioned above were mapped to the Coremine Medical database to forecast prospective therapeutic Chinese medicines, and a "Chinese medicine-ingredient-target" network was constructed to screen for potential therapeutic targets. The last step was to undertake Mendelian randomization research to determine the causal link between the critical gene IL1B and AD in the genome-wide association study. Results Using the scRNA-seq dataset, five unique cell clusters were discovered. These clusters were further subdivided into four distinct cell types using marker genes. The KO group showed a more substantial differential subgroup of macrophages than the WT group. By using the available datasets and PPI network analysis, 54 common genes were discovered. Four clusters were identified using the MCODE approach, and correlation analysis showed that seven genes in those four clusters had a significantly negative correlation with macrophages. Six genes in four sets had a significantly positive correlation. Five genes had different levels of expression in the WT and KO groups. The String database was used to identify the regulatory relationships between the four genes (IL10, CX3CR1, IL1B, and IL6) that were finally selected as AD hub genes. Screening identified potential traditional Chinese medicine to intervene in the transformation process of AD, including Radix Salviae, ginseng, Ganoderma, licorice, Coptidis Rhizoma, and Scutellariae Radix, in addition to promising therapeutic targets, such as PTGS1, PTGS2, and RXRA. Finally, it was shown that IL1B directly correlated with immune cell infiltration in AD. In inverse variance weighting, we found that IL1B was associated with a higher risk of AD, with an OR of 1.003 (95% CI = 1.001-1.006, p = 0.038). Conclusion Our research combined network pharmacology and the scRNA-seq computational framework to uncover pertinent hub genes and prospective traditional Chinese medicine potential therapeutic targets for AD. These discoveries may aid in understanding the molecular processes behind AD genes and the development of novel medications to treat the condition.
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Affiliation(s)
- Tao Wang
- Neck-Shoulder and Lumbocrural Pain Hospital of Shandong First Medical University, Shandong First Medical University, Jinan, China
| | - Xinlei Zhang
- Department of Rehabilitation, The Second Affiliated Hospital of Shandong First Medical University, Taian, China
| | - Wenxin Liu
- Department of Rehabilitation, The Second Affiliated Hospital of Shandong First Medical University, Taian, China
| | - Fangli Ning
- Department of Rehabilitation, The Second Affiliated Hospital of Shandong First Medical University, Taian, China
| | - Xingling Hu
- Department of Rehabilitation, The Second Affiliated Hospital of Shandong First Medical University, Taian, China
| | - Lei Qin
- Department of Rehabilitation, The Second Affiliated Hospital of Shandong First Medical University, Taian, China
| | - Mengmeng Cui
- Department of Rehabilitation, The Second Affiliated Hospital of Shandong First Medical University, Taian, China
| | - Jinyue Yang
- Department of Neurology, The Second Affiliated Hospital of Shandong First Medical University, Taian, China
| | - Shi Lv
- Department of Rehabilitation, The Second Affiliated Hospital of Shandong First Medical University, Taian, China
| | - Qian Wang
- Department of Central Laboratory, The Affiliated Taian City Central Hospital of Qingdao University, Taian, China
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Jäntti H, Kistemaker L, Buonfiglioli A, De Witte LD, Malm T, Hol EM. Emerging Models to Study Human Microglia In vitro. ADVANCES IN NEUROBIOLOGY 2024; 37:545-568. [PMID: 39207712 DOI: 10.1007/978-3-031-55529-9_30] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/04/2024]
Abstract
New in vitro models provide an exciting opportunity to study live human microglia. Previously, a major limitation in understanding human microglia in health and disease has been their limited availability. Here, we provide an overview of methods to obtain human stem cell or blood monocyte-derived microglia-like cells that provide a nearly unlimited source of live human microglia for research. We address how understanding microglial ontogeny can help modeling microglial identity and function in a dish with increased accuracy. Moreover, we categorize stem cell-derived differentiation methods into embryoid body based, growth factor driven, and coculture-driven approaches, and review novel viral approaches to reprogram stem cells directly into microglia-like cells. Furthermore, we review typical readouts used in the field to verify microglial identity and characterize functional microglial phenotypes. We provide an overview of methods used to study microglia in environments more closely resembling the (developing) human CNS, such as cocultures and brain organoid systems with incorporated or innately developing microglia. We highlight how microglia-like cells can be utilized to reveal molecular and functional mechanisms in human disease context, focusing on Alzheimer's disease and other neurodegenerative diseases as well as neurodevelopmental diseases. Finally, we provide a critical overview of challenges and future opportunities to more accurately model human microglia in a dish and conclude that novel in vitro microglia-like cells provide an exciting potential to bring preclinical research of microglia to a new era.
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Affiliation(s)
- Henna Jäntti
- A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland
| | - Lois Kistemaker
- Department of Translational Neuroscience, UMC Utrecht Brain Center, University Medical Center Utrecht, University Utrecht, Utrecht, The Netherlands
| | - Alice Buonfiglioli
- Department of Psychiatry, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Lot D De Witte
- Department of Psychiatry, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Tarja Malm
- A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland
| | - Elly M Hol
- Department of Translational Neuroscience, UMC Utrecht Brain Center, University Medical Center Utrecht, University Utrecht, Utrecht, The Netherlands.
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Zhao X, Zhang S, Sanders AR, Duan J. Brain Lipids and Lipid Droplet Dysregulation in Alzheimer's Disease and Neuropsychiatric Disorders. Complex Psychiatry 2023; 9:154-171. [PMID: 38058955 PMCID: PMC10697751 DOI: 10.1159/000535131] [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: 07/11/2023] [Accepted: 11/06/2023] [Indexed: 12/08/2023] Open
Abstract
Background Lipids are essential components of the structure and for the function of brain cells. The intricate balance of lipids, including phospholipids, glycolipids, cholesterol, cholesterol ester, and triglycerides, is crucial for maintaining normal brain function. The roles of lipids and lipid droplets and their relevance to neurodegenerative and neuropsychiatric disorders (NPDs) remain largely unknown. Summary Here, we reviewed the basic role of lipid components as well as a specific lipid organelle, lipid droplets, in brain function, highlighting the potential impact of altered lipid metabolism in the pathogenesis of Alzheimer's disease (AD) and NDPs. Key Messages Brain lipid dysregulation plays a pivotal role in the pathogenesis and progression of neurodegenerative and NPDs including AD and schizophrenia. Understanding the cell type-specific mechanisms of lipid dysregulation in these diseases is crucial for identifying better diagnostic biomarkers and for developing therapeutic strategies aiming at restoring lipid homeostasis.
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Affiliation(s)
- Xiaojie Zhao
- Center for Psychiatric Genetics, NorthShore University HealthSystem, Evanston, IL, USA
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, IL, USA
| | - Siwei Zhang
- Center for Psychiatric Genetics, NorthShore University HealthSystem, Evanston, IL, USA
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, IL, USA
| | - Alan R. Sanders
- Center for Psychiatric Genetics, NorthShore University HealthSystem, Evanston, IL, USA
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, IL, USA
| | - Jubao Duan
- Center for Psychiatric Genetics, NorthShore University HealthSystem, Evanston, IL, USA
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, IL, USA
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Sudwarts A, Ramesha S, Gao T, Ponnusamy M, Wang S, Hansen M, Kozlova A, Bitarafan S, Kumar P, Beaulieu-Abdelahad D, Zhang X, Collier L, Szekeres C, Wood LB, Duan J, Thinakaran G, Rangaraju S. BIN1 is a key regulator of proinflammatory and neurodegeneration-related activation in microglia. Mol Neurodegener 2022; 17:33. [PMID: 35526014 PMCID: PMC9077874 DOI: 10.1186/s13024-022-00535-x] [Citation(s) in RCA: 33] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Accepted: 03/30/2022] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND The BIN1 locus contains the second-most significant genetic risk factor for late-onset Alzheimer's disease. BIN1 undergoes alternate splicing to generate tissue- and cell-type-specific BIN1 isoforms, which regulate membrane dynamics in a range of crucial cellular processes. Whilst the expression of BIN1 in the brain has been characterized in neurons and oligodendrocytes in detail, information regarding microglial BIN1 expression is mainly limited to large-scale transcriptomic and proteomic data. Notably, BIN1 protein expression and its functional roles in microglia, a cell type most relevant to Alzheimer's disease, have not been examined in depth. METHODS Microglial BIN1 expression was analyzed by immunostaining mouse and human brain, as well as by immunoblot and RT-PCR assays of isolated microglia or human iPSC-derived microglial cells. Bin1 expression was ablated by siRNA knockdown in primary microglial cultures in vitro and Cre-lox mediated conditional deletion in adult mouse brain microglia in vivo. Regulation of neuroinflammatory microglial signatures by BIN1 in vitro and in vivo was characterized using NanoString gene panels and flow cytometry methods. The transcriptome data was explored by in silico pathway analysis and validated by complementary molecular approaches. RESULTS Here, we characterized microglial BIN1 expression in vitro and in vivo and ascertained microglia expressed BIN1 isoforms. By silencing Bin1 expression in primary microglial cultures, we demonstrate that BIN1 regulates the activation of proinflammatory and disease-associated responses in microglia as measured by gene expression and cytokine production. Our transcriptomic profiling revealed key homeostatic and lipopolysaccharide (LPS)-induced inflammatory response pathways, as well as transcription factors PU.1 and IRF1 that are regulated by BIN1. Microglia-specific Bin1 conditional knockout in vivo revealed novel roles of BIN1 in regulating the expression of disease-associated genes while counteracting CX3CR1 signaling. The consensus from in vitro and in vivo findings showed that loss of Bin1 impaired the ability of microglia to mount type 1 interferon responses to proinflammatory challenge, particularly the upregulation of a critical type 1 immune response gene, Ifitm3. CONCLUSIONS Our convergent findings provide novel insights into microglial BIN1 function and demonstrate an essential role of microglial BIN1 in regulating brain inflammatory response and microglial phenotypic changes. Moreover, for the first time, our study shows a regulatory relationship between Bin1 and Ifitm3, two Alzheimer's disease-related genes in microglia. The requirement for BIN1 to regulate Ifitm3 upregulation during inflammation has important implications for inflammatory responses during the pathogenesis and progression of many neurodegenerative diseases.
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Affiliation(s)
- Ari Sudwarts
- grid.170693.a0000 0001 2353 285XByrd Alzheimer’s Center and Research Institute, University of South Florida, Tampa, FL 33613 USA ,grid.170693.a0000 0001 2353 285XDepartment of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL 33620 USA
| | - Supriya Ramesha
- grid.189967.80000 0001 0941 6502Department of Neurology, Emory University, Atlanta, GA 30322 USA
| | - Tianwen Gao
- grid.189967.80000 0001 0941 6502Department of Neurology, Emory University, Atlanta, GA 30322 USA
| | - Moorthi Ponnusamy
- grid.170693.a0000 0001 2353 285XByrd Alzheimer’s Center and Research Institute, University of South Florida, Tampa, FL 33613 USA ,grid.170693.a0000 0001 2353 285XDepartment of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL 33620 USA
| | - Shuai Wang
- grid.170693.a0000 0001 2353 285XByrd Alzheimer’s Center and Research Institute, University of South Florida, Tampa, FL 33613 USA ,grid.170693.a0000 0001 2353 285XDepartment of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL 33620 USA
| | - Mitchell Hansen
- grid.170693.a0000 0001 2353 285XByrd Alzheimer’s Center and Research Institute, University of South Florida, Tampa, FL 33613 USA ,grid.170693.a0000 0001 2353 285XDepartment of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL 33620 USA
| | - Alena Kozlova
- grid.240372.00000 0004 0400 4439Center for Psychiatric Genetics, North Shore University Health System, Evanston, IL 60201 USA
| | - Sara Bitarafan
- grid.213917.f0000 0001 2097 4943Parker H. Petit Institute for Bioengineering and Bioscience, Wallace H. Coulter Department of Biomedical Engineering, and Georgia W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA 30332 USA
| | - Prateek Kumar
- grid.189967.80000 0001 0941 6502Department of Neurology, Emory University, Atlanta, GA 30322 USA
| | - David Beaulieu-Abdelahad
- grid.170693.a0000 0001 2353 285XByrd Alzheimer’s Center and Research Institute, University of South Florida, Tampa, FL 33613 USA ,grid.170693.a0000 0001 2353 285XDepartment of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL 33620 USA
| | - Xiaolin Zhang
- grid.170693.a0000 0001 2353 285XByrd Alzheimer’s Center and Research Institute, University of South Florida, Tampa, FL 33613 USA ,grid.170693.a0000 0001 2353 285XDepartment of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL 33620 USA
| | - Lisa Collier
- grid.170693.a0000 0001 2353 285XByrd Alzheimer’s Center and Research Institute, University of South Florida, Tampa, FL 33613 USA ,grid.170693.a0000 0001 2353 285XDepartment of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL 33620 USA
| | - Charles Szekeres
- grid.170693.a0000 0001 2353 285XDepartment of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL 33620 USA
| | - Levi B. Wood
- grid.213917.f0000 0001 2097 4943Parker H. Petit Institute for Bioengineering and Bioscience, Wallace H. Coulter Department of Biomedical Engineering, and Georgia W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA 30332 USA
| | - Jubao Duan
- grid.240372.00000 0004 0400 4439Center for Psychiatric Genetics, North Shore University Health System, Evanston, IL 60201 USA ,grid.170205.10000 0004 1936 7822Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, IL 60637 USA
| | - Gopal Thinakaran
- Byrd Alzheimer's Center and Research Institute, University of South Florida, Tampa, FL, 33613, USA. .,Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL, 33620, USA.
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Muhtaseb AW, Duan J. Modeling common and rare genetic risk factors of neuropsychiatric disorders in human induced pluripotent stem cells. Schizophr Res 2022:S0920-9964(22)00156-6. [PMID: 35459617 PMCID: PMC9735430 DOI: 10.1016/j.schres.2022.04.003] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Revised: 04/05/2022] [Accepted: 04/07/2022] [Indexed: 12/13/2022]
Abstract
Recent genome-wide association studies (GWAS) and whole-exome sequencing of neuropsychiatric disorders, especially schizophrenia, have identified a plethora of common and rare disease risk variants/genes. Translating the mounting human genetic discoveries into novel disease biology and more tailored clinical treatments is tied to our ability to causally connect genetic risk variants to molecular and cellular phenotypes. When combined with the Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR)/CRISPR-associated (Cas) nuclease-mediated genome editing system, human induced pluripotent stem cell (hiPSC)-derived neural cultures (both 2D and 3D organoids) provide a promising tractable cellular model for bridging the gap between genetic findings and disease biology. In this review, we first conceptualize the advances in understanding the disease polygenicity and convergence from the past decade of iPSC modeling of different types of genetic risk factors of neuropsychiatric disorders. We then discuss the major cell types and cellular phenotypes that are most relevant to neuropsychiatric disorders in iPSC modeling. Finally, we critically review the limitations of iPSC modeling of neuropsychiatric disorders and outline the need for implementing and developing novel methods to scale up the number of iPSC lines and disease risk variants in a systematic manner. Sufficiently scaled-up iPSC modeling and a better functional interpretation of genetic risk variants, in combination with cutting-edge CRISPR/Cas9 gene editing and single-cell multi-omics methods, will enable the field to identify the specific and convergent molecular and cellular phenotypes in precision for neuropsychiatric disorders.
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Affiliation(s)
- Abdurrahman W Muhtaseb
- Center for Psychiatric Genetics, NorthShore University HealthSystem, Evanston, IL 60201, United States of America; Department of Human Genetics, The University of Chicago, Chicago, IL 60637, United States of America
| | - Jubao Duan
- Center for Psychiatric Genetics, NorthShore University HealthSystem, Evanston, IL 60201, United States of America; Department of Psychiatry and Behavioral Neuroscience, The University of Chicago, Chicago, IL 60637, United States of America.
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7
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Kozlova A, Butler RR, Zhang S, Ujas T, Zhang H, Steidl S, Sanders AR, Pang ZP, Vezina P, Duan J. Sex-specific nicotine sensitization and imprinting of self-administration in rats inform GWAS findings on human addiction phenotypes. Neuropsychopharmacology 2021; 46:1746-1756. [PMID: 34007041 PMCID: PMC8358005 DOI: 10.1038/s41386-021-01027-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/02/2020] [Revised: 03/26/2021] [Accepted: 04/22/2021] [Indexed: 02/04/2023]
Abstract
Repeated nicotine exposure leads to sensitization (SST) and enhances self-administration (SA) in rodents. However, the molecular basis of nicotine SST and SA and their biological relevance to the mounting genome-wide association study (GWAS) loci of human addictive behaviors are poorly understood. Considering a gateway drug role of nicotine, we modeled nicotine SST and SA in F1 progeny of inbred rats (F344/BN) and conducted integrative genomics analyses. We unexpectedly observed male-specific nicotine SST and a parental effect of SA only present in paternal F344 crosses. Transcriptional profiling in the ventral tegmental area (VTA) and nucleus accumbens (NAc) core and shell further revealed sex- and brain region-specific transcriptomic signatures of SST and SA. We found that genes associated with SST and SA were enriched for those related to synaptic processes, myelin sheath, and tobacco use disorder or chemdependency. Interestingly, SST-associated genes were often downregulated in male VTA but upregulated in female VTA, and strongly enriched for smoking GWAS risk variants, possibly explaining the male-specific SST. For SA, we found widespread region-specific allelic imbalance of expression (AIE), of which genes showing AIE bias toward paternal F344 alleles in NAc core were strongly enriched for SA-associated genes and for GWAS risk variants of smoking initiation, likely contributing to the parental effect of SA. Our study suggests a mechanistic link between transcriptional changes underlying the NIC SST and SA and human nicotine addiction, providing a resource for understanding the neurobiology basis of the GWAS findings on human smoking and other addictive phenotypes.
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Affiliation(s)
- Alena Kozlova
- grid.240372.00000 0004 0400 4439Center for Psychiatric Genetics, NorthShore University HealthSystem, Evanston, IL USA ,grid.170205.10000 0004 1936 7822Department of Psychiatry and Behavioral Neurosciences, University of Chicago, Chicago, IL USA
| | - Robert R. Butler
- grid.240372.00000 0004 0400 4439Center for Psychiatric Genetics, NorthShore University HealthSystem, Evanston, IL USA ,grid.170205.10000 0004 1936 7822Department of Psychiatry and Behavioral Neurosciences, University of Chicago, Chicago, IL USA
| | - Siwei Zhang
- grid.240372.00000 0004 0400 4439Center for Psychiatric Genetics, NorthShore University HealthSystem, Evanston, IL USA ,grid.170205.10000 0004 1936 7822Department of Psychiatry and Behavioral Neurosciences, University of Chicago, Chicago, IL USA
| | - Thomas Ujas
- grid.170205.10000 0004 1936 7822Department of Psychiatry and Behavioral Neurosciences, University of Chicago, Chicago, IL USA
| | - Hanwen Zhang
- grid.240372.00000 0004 0400 4439Center for Psychiatric Genetics, NorthShore University HealthSystem, Evanston, IL USA
| | - Stephan Steidl
- grid.164971.c0000 0001 1089 6558Department of Psychology, Loyola University Chicago, Chicago, IL USA
| | - Alan R. Sanders
- grid.240372.00000 0004 0400 4439Center for Psychiatric Genetics, NorthShore University HealthSystem, Evanston, IL USA ,grid.170205.10000 0004 1936 7822Department of Psychiatry and Behavioral Neurosciences, University of Chicago, Chicago, IL USA
| | - Zhiping P. Pang
- grid.430387.b0000 0004 1936 8796Department of Neuroscience and Cell Biology and Child Health Institute of New Jersey, Rutgers University, New Brunswick, NJ USA
| | - Paul Vezina
- Department of Psychiatry and Behavioral Neurosciences, University of Chicago, Chicago, IL, USA.
| | - Jubao Duan
- Center for Psychiatric Genetics, NorthShore University HealthSystem, Evanston, IL, USA. .,Department of Psychiatry and Behavioral Neurosciences, University of Chicago, Chicago, IL, USA.
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Thom CS, Chou ST, French DL. Mechanistic and Translational Advances Using iPSC-Derived Blood Cells. JOURNAL OF EXPERIMENTAL PATHOLOGY 2020; 1:36-44. [PMID: 33768218 PMCID: PMC7990314 DOI: 10.33696/pathology.1.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/03/2022]
Abstract
Human induced pluripotent stem cell (iPSC)-based model systems can be used to produce blood cells for the study of both hematologic and non-hematologic disorders. This commentary discusses recent advances that have utilized iPSC-derived red blood cells, megakaryocytes, myeloid cells, and lymphoid cells to model hematopoietic disorders. In addition, we review recent studies that have defined how microglial cells differentiated from iPSC-derived monocytes impact neurodegenerative disease. Related translational insights highlight the utility of iPSC models for studying pathologic anemia, bleeding, thrombosis, autoimmunity, immunodeficiency, blood cancers, and neurodegenerative disease such as Alzheimer's.
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Affiliation(s)
- Christopher S Thom
- Division of Neonatology, Children’s Hospital of Philadelphia, Philadelphia, PA, USA
| | - Stella T Chou
- Division of Hematology, Children’s Hospital of Philadelphia, Philadelphia, PA, USA
| | - Deborah L French
- Center for Cellular and Molecular Therapeutics, Children’s Hospital of Philadelphia, Philadelphia, PA, USA
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