101
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Huda K, Lawrence DJ, Thompson W, Lindsey SH, Bayer CL. In vivo noninvasive systemic myography of acute systemic vasoactivity in female pregnant mice. Nat Commun 2023; 14:6286. [PMID: 37813833 PMCID: PMC10562381 DOI: 10.1038/s41467-023-42041-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Accepted: 09/28/2023] [Indexed: 10/11/2023] Open
Abstract
Altered vasoactivity is a major characteristic of cardiovascular and oncological diseases, and many therapies are therefore targeted to the vasculature. Therapeutics which are selective for the diseased vasculature are ideal, but whole-body selectivity of a therapeutic is challenging to assess in practice. Vessel myography is used to determine the functional mechanisms and evaluate pharmacological responses of vascularly-targeted therapeutics. However, myography can only be performed on ex vivo sections of individual arteries. We have developed methods for implementation of spherical-view photoacoustic tomography for non-invasive and in vivo myography. Using photoacoustic tomography, we demonstrate the measurement of acute vascular reactivity in the systemic vasculature and the placenta of female pregnant mice in response to two vasodilators. Photoacoustic tomography simultaneously captures the significant acute vasodilation of major arteries and detects selective vasoactivity of the maternal-fetal vasculature. Photoacoustic tomography has the potential to provide invaluable preclinical information on vascular response that cannot be obtained by other established methods.
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Affiliation(s)
- Kristie Huda
- Department of Biomedical Engineering, Tulane University, New Orleans, LA, USA
| | - Dylan J Lawrence
- Department of Biomedical Engineering, Tulane University, New Orleans, LA, USA
- Photosound Technologies Inc., Houston, TX, USA
| | | | - Sarah H Lindsey
- Department of Pharmacology, Tulane University School of Medicine, New Orleans, LA, USA
| | - Carolyn L Bayer
- Department of Biomedical Engineering, Tulane University, New Orleans, LA, USA.
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102
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Noh SM, Singla UK, Bennett IJ, Bornstein AM. Memory precision and age differentially predict the use of decision-making strategies across the lifespan. Sci Rep 2023; 13:17014. [PMID: 37813942 PMCID: PMC10562379 DOI: 10.1038/s41598-023-44107-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Accepted: 10/03/2023] [Indexed: 10/11/2023] Open
Abstract
Memory function declines in normal aging, in a relatively continuous fashion following middle-age. The effect of aging on decision-making is less well-understood, with seemingly conflicting results on both the nature and direction of these age effects. One route for clarifying these mixed findings is to understand how age-related differences in memory affect decisions. Recent work has proposed memory sampling as a specific computational role for memory in decision-making, alongside well-studied mechanisms of reinforcement learning (RL). Here, we tested the hypothesis that age-related declines in episodic memory alter memory sampling. Participants (total N = 361; ages 18-77) performed one of two variants of a standard reward-guided decision experiment with additional trial-unique mnemonic content and a separately-administered task for assessing memory precision. When we fit participants' choices with a hybrid computational model implementing both memory-based and RL-driven valuation side-by-side, we found that memory precision tracked the contribution of memory sampling to choice. At the same time, age corresponded to decreasing influence of RL and increasing perseveration. A second experiment confirmed these results and further revealed that memory precision tracked the specificity of memories selected for sampling. Together, these findings suggest that differences in decision-making across the lifespan may be related to memory function, and that interventions which aim to improve the former may benefit from targeting the latter.
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Affiliation(s)
- Sharon M Noh
- Department of Cognitive Sciences, The University of California, Irvine, Irvine, CA, USA.
| | - Umesh K Singla
- Princeton Neuroscience Institute, Princeton, NJ, USA
- Department of Computer Science and Engineering, University of California, San Diego, La Jolla, CA, USA
| | - Ilana J Bennett
- Department of Psychology, The University of California, Riverside, Riverside, CA, USA
| | - Aaron M Bornstein
- Department of Cognitive Sciences, The University of California, Irvine, Irvine, CA, USA.
- Center for the Neurobiology of Learning and Memory, The University of California, Irvine, Irvine, CA, USA.
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103
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Shadpour S, Shafqat A, Toy S, Jing Z, Attwood K, Moussavi Z, Shafiei SB. Developing cognitive workload and performance evaluation models using functional brain network analysis. NPJ Aging 2023; 9:22. [PMID: 37803137 PMCID: PMC10558559 DOI: 10.1038/s41514-023-00119-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Accepted: 08/10/2023] [Indexed: 10/08/2023]
Abstract
Cognition, defined as the ability to learn, remember, sustain attention, make decisions, and solve problems, is essential in daily activities and in learning new skills. The purpose of this study was to develop cognitive workload and performance evaluation models using features that were extracted from Electroencephalogram (EEG) data through functional brain network and spectral analyses. The EEG data were recorded from 124 brain areas of 26 healthy participants conducting two cognitive tasks on a robot simulator. The functional brain network and Power Spectral Density features were extracted from EEG data using coherence and spectral analyses, respectively. Participants reported their perceived cognitive workload using the SURG-TLX questionnaire after each exercise, and the simulator generated actual performance scores. The extracted features, actual performance scores, and subjectively assessed cognitive workload values were used to develop linear models for evaluating performance and cognitive workload. Furthermore, the Pearson correlation was used to find the correlation between participants' age, performance, and cognitive workload. The findings demonstrated that combined EEG features retrieved from spectral analysis and functional brain networks can be used to evaluate cognitive workload and performance. The cognitive workload in conducting only Matchboard level 3, which is more challenging than Matchboard level 2, was correlated with age (0.54, p-value = 0.01). This finding may suggest playing more challenging computer games are more helpful in identifying changes in cognitive workload caused by aging. The findings could open the door for a new era of objective evaluation and monitoring of cognitive workload and performance.
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Affiliation(s)
- Saeed Shadpour
- Department of Animal Biosciences, University of Guelph, Guelph, Ontario, N1G 2W1, Canada
| | - Ambreen Shafqat
- Intelligent Cancer Care Laboratory, Department of Urology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, 14263, USA
| | - Serkan Toy
- Department of Basic Science Education, Virginia Tech Carilion School of Medicine, Roanoke, VA, 24016, USA
| | - Zhe Jing
- Department of Biostatistics and Bioinformatics, Roswell Park Comprehensive Cancer Center, Buffalo, NY, 14263, USA
| | - Kristopher Attwood
- Department of Biostatistics and Bioinformatics, Roswell Park Comprehensive Cancer Center, Buffalo, NY, 14263, USA
| | - Zahra Moussavi
- Department of Electrical and Computer Engineering & Biomedical Engineering Program and Department of Psychiatry, University of Manitoba, Winnipeg, Manitoba, R3T 5V6, Canada
| | - Somayeh B Shafiei
- Intelligent Cancer Care Laboratory, Department of Urology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, 14263, USA.
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104
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Papsdorf K, Miklas JW, Hosseini A, Cabruja M, Morrow CS, Savini M, Yu Y, Silva-García CG, Haseley NR, Murphy LM, Yao P, de Launoit E, Dixon SJ, Snyder MP, Wang MC, Mair WB, Brunet A. Author Correction: Lipid droplets and peroxisomes are co-regulated to drive lifespan extension in response to mono-unsaturated fatty acids. Nat Cell Biol 2023; 25:1547. [PMID: 37567997 PMCID: PMC10567555 DOI: 10.1038/s41556-023-01220-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/13/2023]
Affiliation(s)
| | - Jason W Miklas
- Department of Genetics, Stanford University, Stanford, CA, USA
| | - Amir Hosseini
- Department of Genetics, Stanford University, Stanford, CA, USA
| | - Matias Cabruja
- Department of Genetics, Stanford University, Stanford, CA, USA
| | - Christopher S Morrow
- Department of Molecular Metabolism, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Marzia Savini
- Department of Molecular and Human Genetics, Huffington Center on Aging, Baylor College of Medicine, Houston, TX, USA
| | - Yong Yu
- Department of Molecular and Human Genetics, Huffington Center on Aging, Baylor College of Medicine, Houston, TX, USA
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen, China
| | - Carlos G Silva-García
- Department of Molecular Metabolism, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | | | | | - Pallas Yao
- Department of Molecular Metabolism, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | | | - Scott J Dixon
- Department of Biology, Stanford University, Stanford, CA, USA
| | | | - Meng C Wang
- Department of Molecular and Human Genetics, Huffington Center on Aging, Baylor College of Medicine, Houston, TX, USA
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA
| | - William B Mair
- Department of Molecular Metabolism, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Anne Brunet
- Department of Genetics, Stanford University, Stanford, CA, USA.
- Glenn Laboratories for the Biology of Aging, Stanford University, Stanford, CA, USA.
- Wu Tsai Institute of Neurosciences, Stanford University, Stanford, CA, USA.
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105
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Hong YS, Battle SL, Shi W, Puiu D, Pillalamarri V, Xie J, Pankratz N, Lake NJ, Lek M, Rotter JI, Rich SS, Kooperberg C, Reiner AP, Auer PL, Heard-Costa N, Liu C, Lai M, Murabito JM, Levy D, Grove ML, Alonso A, Gibbs R, Dugan-Perez S, Gondek LP, Guallar E, Arking DE. Deleterious heteroplasmic mitochondrial mutations are associated with an increased risk of overall and cancer-specific mortality. Nat Commun 2023; 14:6113. [PMID: 37777527 PMCID: PMC10542802 DOI: 10.1038/s41467-023-41785-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2023] [Accepted: 09/14/2023] [Indexed: 10/02/2023] Open
Abstract
Mitochondria carry their own circular genome and disruption of the mitochondrial genome is associated with various aging-related diseases. Unlike the nuclear genome, mitochondrial DNA (mtDNA) can be present at 1000 s to 10,000 s copies in somatic cells and variants may exist in a state of heteroplasmy, where only a fraction of the DNA molecules harbors a particular variant. We quantify mtDNA heteroplasmy in 194,871 participants in the UK Biobank and find that heteroplasmy is associated with a 1.5-fold increased risk of all-cause mortality. Additionally, we functionally characterize mtDNA single nucleotide variants (SNVs) using a constraint-based score, mitochondrial local constraint score sum (MSS) and find it associated with all-cause mortality, and with the prevalence and incidence of cancer and cancer-related mortality, particularly leukemia. These results indicate that mitochondria may have a functional role in certain cancers, and mitochondrial heteroplasmic SNVs may serve as a prognostic marker for cancer, especially for leukemia.
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Affiliation(s)
- Yun Soo Hong
- McKusick-Nathans Institute, Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Stephanie L Battle
- McKusick-Nathans Institute, Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Natural Sciences, College of Arts and Sciences, Bowie State University, Bowie, MD, USA
| | - Wen Shi
- McKusick-Nathans Institute, Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Daniela Puiu
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Vamsee Pillalamarri
- McKusick-Nathans Institute, Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Jiaqi Xie
- McKusick-Nathans Institute, Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Nathan Pankratz
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA
| | - Nicole J Lake
- Department of Genetics, Yale School of Medicine, New Haven, CT, USA
- Murdoch Children's Research Institute, Royal Children's Hospital, Melbourne, VIC, Australia
| | - Monkol Lek
- Department of Genetics, Yale School of Medicine, New Haven, CT, USA
| | - Jerome I Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Stephen S Rich
- Center for Public Health Genomics, Department of Public Health Sciences, University of Virginia, Charlottesville, VA, USA
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Alex P Reiner
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Paul L Auer
- Division of Biostatistics, Institute for Health & Equity, and Cancer Center, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Nancy Heard-Costa
- Departments of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Framingham Heart Study, Framingham, MA, USA
| | - Chunyu Liu
- Framingham Heart Study, Framingham, MA, USA
- Department of Biostatistics, School of Public Health, Boston University, Boston, MA, USA
| | - Meng Lai
- Department of Biostatistics, School of Public Health, Boston University, Boston, MA, USA
| | - Joanne M Murabito
- Section of General Internal Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Daniel Levy
- National Heart, Lung, and Blood Institute, NIH, Bethesda, MD, USA
| | - Megan L Grove
- Human Genetics Center; Department of Epidemiology, Human Genetics, and Environmental Sciences; School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Alvaro Alonso
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Richard Gibbs
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Shannon Dugan-Perez
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Lukasz P Gondek
- Division of Hematological Malignancies, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University, Baltimore, MD, USA
| | - Eliseo Guallar
- Department of Epidemiology and Medicine, and Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - Dan E Arking
- McKusick-Nathans Institute, Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
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106
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Vanrobaeys Y, Mukherjee U, Langmack L, Beyer SE, Bahl E, Lin LC, Michaelson JJ, Abel T, Chatterjee S. Mapping the spatial transcriptomic signature of the hippocampus during memory consolidation. Nat Commun 2023; 14:6100. [PMID: 37773230 PMCID: PMC10541893 DOI: 10.1038/s41467-023-41715-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Accepted: 09/15/2023] [Indexed: 10/01/2023] Open
Abstract
Memory consolidation involves discrete patterns of transcriptional events in the hippocampus. Despite the emergence of single-cell transcriptomic profiling techniques, mapping the transcriptomic signature across subregions of the hippocampus has remained challenging. Here, we utilized unbiased spatial sequencing to delineate transcriptome-wide gene expression changes across subregions of the dorsal hippocampus of male mice following learning. We find that each subregion of the hippocampus exhibits distinct yet overlapping transcriptomic signatures. The CA1 region exhibited increased expression of genes related to transcriptional regulation, while the DG showed upregulation of genes associated with protein folding. Importantly, our approach enabled us to define the transcriptomic signature of learning within two less-defined hippocampal subregions, CA1 stratum radiatum, and oriens. We demonstrated that CA1 subregion-specific expression of a transcription factor subfamily has a critical functional role in the consolidation of long-term memory. This work demonstrates the power of spatial molecular approaches to reveal simultaneous transcriptional events across the hippocampus during memory consolidation.
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Affiliation(s)
- Yann Vanrobaeys
- Department of Neuroscience and Pharmacology, Carver College of Medicine, University of Iowa, Iowa City, IA, USA
- Iowa Neuroscience Institute, University of Iowa, Iowa City, IA, USA
- Interdisciplinary Graduate Program in Genetics, University of Iowa, Iowa City, IA, 52242, USA
| | - Utsav Mukherjee
- Department of Neuroscience and Pharmacology, Carver College of Medicine, University of Iowa, Iowa City, IA, USA
- Iowa Neuroscience Institute, University of Iowa, Iowa City, IA, USA
- Interdisciplinary Graduate Program in Neuroscience, University of Iowa, Iowa City, IA, 52242, USA
| | - Lucy Langmack
- Department of Neuroscience and Pharmacology, Carver College of Medicine, University of Iowa, Iowa City, IA, USA
- Iowa Neuroscience Institute, University of Iowa, Iowa City, IA, USA
- Biochemistry and Molecular Biology Graduate Program, University of Iowa, Iowa City, IA, USA
| | - Stacy E Beyer
- Department of Neuroscience and Pharmacology, Carver College of Medicine, University of Iowa, Iowa City, IA, USA
- Iowa Neuroscience Institute, University of Iowa, Iowa City, IA, USA
| | - Ethan Bahl
- Interdisciplinary Graduate Program in Genetics, University of Iowa, Iowa City, IA, 52242, USA
- Department of Psychiatry, University of Iowa, Iowa City, IA, USA
| | - Li-Chun Lin
- Department of Neuroscience and Pharmacology, Carver College of Medicine, University of Iowa, Iowa City, IA, USA
- Iowa Neuroscience Institute, University of Iowa, Iowa City, IA, USA
| | - Jacob J Michaelson
- Iowa Neuroscience Institute, University of Iowa, Iowa City, IA, USA
- Department of Psychiatry, University of Iowa, Iowa City, IA, USA
| | - Ted Abel
- Department of Neuroscience and Pharmacology, Carver College of Medicine, University of Iowa, Iowa City, IA, USA.
- Iowa Neuroscience Institute, University of Iowa, Iowa City, IA, USA.
| | - Snehajyoti Chatterjee
- Department of Neuroscience and Pharmacology, Carver College of Medicine, University of Iowa, Iowa City, IA, USA.
- Iowa Neuroscience Institute, University of Iowa, Iowa City, IA, USA.
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107
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Gyawali PK, Le Guen Y, Liu X, Belloy ME, Tang H, Zou J, He Z. Improving genetic risk prediction across diverse population by disentangling ancestry representations. Commun Biol 2023; 6:964. [PMID: 37736834 PMCID: PMC10517023 DOI: 10.1038/s42003-023-05352-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2022] [Accepted: 09/12/2023] [Indexed: 09/23/2023] Open
Abstract
Risk prediction models using genetic data have seen increasing traction in genomics. However, most of the polygenic risk models were developed using data from participants with similar (mostly European) ancestry. This can lead to biases in the risk predictors resulting in poor generalization when applied to minority populations and admixed individuals such as African Americans. To address this issue, largely due to the prediction models being biased by the underlying population structure, we propose a deep-learning framework that leverages data from diverse population and disentangles ancestry from the phenotype-relevant information in its representation. The ancestry disentangled representation can be used to build risk predictors that perform better across minority populations. We applied the proposed method to the analysis of Alzheimer's disease genetics. Comparing with standard linear and nonlinear risk prediction methods, the proposed method substantially improves risk prediction in minority populations, including admixed individuals, without needing self-reported ancestry information.
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Affiliation(s)
- Prashnna K Gyawali
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA.
| | - Yann Le Guen
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA
- Institut du Cerveau-Paris Brain Institute-ICM, Paris, France
| | - Xiaoxia Liu
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA
| | - Michael E Belloy
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA
| | - Hua Tang
- Department of Genetics, Stanford University, Stanford, CA, USA
| | - James Zou
- Department of Biomedical Data Science, Stanford University, Stanford, CA, USA.
| | - Zihuai He
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA.
- Quantitative Sciences Unit, Department of Medicine (Biomedical Informatics Research), Stanford University, Stanford, CA, USA.
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108
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Towns C, Richer M, Jasaityte S, Stafford EJ, Joubert J, Antar T, Martinez-Carrasco A, Makarious MB, Casey B, Vitale D, Levine K, Leonard H, Pantazis CB, Screven LA, Hernandez DG, Wegel CE, Solle J, Nalls MA, Blauwendraat C, Singleton AB, Tan MMX, Iwaki H, Morris HR. Defining the causes of sporadic Parkinson's disease in the global Parkinson's genetics program (GP2). NPJ Parkinsons Dis 2023; 9:131. [PMID: 37699923 PMCID: PMC10497609 DOI: 10.1038/s41531-023-00533-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Accepted: 05/22/2023] [Indexed: 09/14/2023] Open
Abstract
The Global Parkinson's Genetics Program (GP2) will genotype over 150,000 participants from around the world, and integrate genetic and clinical data for use in large-scale analyses to dramatically expand our understanding of the genetic architecture of PD. This report details the workflow for cohort integration into the complex arm of GP2, and together with our outline of the monogenic hub in a companion paper, provides a generalizable blueprint for establishing large scale collaborative research consortia.
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Affiliation(s)
- Clodagh Towns
- Department of Clinical and Movement Neurosciences, Queen Square Institute of Neurology, University College London, London, UK
| | - Madeleine Richer
- Department of Clinical and Movement Neurosciences, Queen Square Institute of Neurology, University College London, London, UK
| | - Simona Jasaityte
- Department of Clinical and Movement Neurosciences, Queen Square Institute of Neurology, University College London, London, UK
| | - Eleanor J Stafford
- Department of Clinical and Movement Neurosciences, Queen Square Institute of Neurology, University College London, London, UK
- University College London, London, UK
| | - Julie Joubert
- Department of Clinical and Movement Neurosciences, Queen Square Institute of Neurology, University College London, London, UK
| | - Tarek Antar
- Molecular Genetics Section, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
| | - Alejandro Martinez-Carrasco
- Department of Clinical and Movement Neurosciences, Queen Square Institute of Neurology, University College London, London, UK
- University College London, London, UK
| | - Mary B Makarious
- Department of Clinical and Movement Neurosciences, Queen Square Institute of Neurology, University College London, London, UK
- Molecular Genetics Section, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
- National Institutes of Health, Bethesda, MD, USA
| | - Bradford Casey
- Department of Clinical Research, Michael J. Fox Foundation for Parkinson's Research, New York City, NY, USA
- The Michael J. Fox Foundation for Parkinson's Research, New York, NY, USA
| | - Dan Vitale
- National Institutes of Health, Bethesda, MD, USA
- Center for Alzheimer's and Related Dementias (CARD), National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
- Data Tecnica International, Washington, DC, USA
| | - Kristin Levine
- Center for Alzheimer's and Related Dementias (CARD), National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
- Data Tecnica International, Washington, DC, USA
| | - Hampton Leonard
- Molecular Genetics Section, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
- Center for Alzheimer's and Related Dementias (CARD), National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
- Data Tecnica International, Washington, DC, USA
- National Institute on Aging/National Institutes of Health, Bethesda, MD, USA
| | - Caroline B Pantazis
- National Institutes of Health, Bethesda, MD, USA
- Center for Alzheimer's and Related Dementias (CARD), National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Laurel A Screven
- Center for Alzheimer's and Related Dementias (CARD), National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Dena G Hernandez
- Molecular Genetics Section, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
| | - Claire E Wegel
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Justin Solle
- Department of Clinical Research, Michael J. Fox Foundation for Parkinson's Research, New York City, NY, USA
| | - Mike A Nalls
- Molecular Genetics Section, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
- National Institutes of Health, Bethesda, MD, USA
- Center for Alzheimer's and Related Dementias (CARD), National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
- Data Tecnica International, Washington, DC, USA
| | - Cornelis Blauwendraat
- National Institutes of Health, Bethesda, MD, USA
- Center for Alzheimer's and Related Dementias (CARD), National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
- Integrative Genomics Unit, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
| | - Andrew B Singleton
- Molecular Genetics Section, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
- Center for Alzheimer's and Related Dementias (CARD), National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
- National Institute on Aging, Bethesda, MD, USA
| | - Manuela M X Tan
- Department of Neurology, Oslo University Hospital, Oslo, Norway
| | - Hirotaka Iwaki
- Molecular Genetics Section, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
- Center for Alzheimer's and Related Dementias (CARD), National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
- Data Tecnica International, Washington, DC, USA
| | - Huw R Morris
- Department of Clinical and Movement Neurosciences, Queen Square Institute of Neurology, University College London, London, UK.
- University College London, London, UK.
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109
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Fernandez-Fuente G, Overmyer KA, Lawton AJ, Kasza I, Shapiro SL, Gallego-Muñoz P, Coon JJ, Denu JM, Alexander CM, Puglielli L. The citrate transporters SLC13A5 and SLC25A1 elicit different metabolic responses and phenotypes in the mouse. Commun Biol 2023; 6:926. [PMID: 37689798 PMCID: PMC10492862 DOI: 10.1038/s42003-023-05311-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Accepted: 09/01/2023] [Indexed: 09/11/2023] Open
Abstract
Cytosolic citrate is imported from the mitochondria by SLC25A1, and from the extracellular milieu by SLC13A5. In the cytosol, citrate is used by ACLY to generate acetyl-CoA, which can then be exported to the endoplasmic reticulum (ER) by SLC33A1. Here, we report the generation of mice with systemic overexpression (sTg) of SLC25A1 or SLC13A5. Both animals displayed increased cytosolic levels of citrate and acetyl-CoA; however, SLC13A5 sTg mice developed a progeria-like phenotype with premature death, while SLC25A1 sTg mice did not. Analysis of the metabolic profile revealed widespread differences. Furthermore, SLC13A5 sTg mice displayed increased engagement of the ER acetylation machinery through SLC33A1, while SLC25A1 sTg mice did not. In conclusion, our findings point to different biological responses to SLC13A5- or SLC25A1-mediated import of citrate and suggest that the directionality of the citrate/acetyl-CoA pathway can transduce different signals.
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Affiliation(s)
- Gonzalo Fernandez-Fuente
- Department of Medicine, University of Wisconsin-Madison, Madison, WI, USA
- Waisman Center, University of Wisconsin-Madison, Madison, WI, USA
| | - Katherine A Overmyer
- Department of Biomolecular Chemistry, University of Wisconsin-Madison, Madison, WI, USA
- Morgridge Institute for Research, Madison, WI, USA
| | - Alexis J Lawton
- Department of Biomolecular Chemistry, University of Wisconsin-Madison, Madison, WI, USA
- Wisconsin Institute for Discovery, University of Wisconsin-Madison, Madison, WI, USA
| | - Ildiko Kasza
- McArdle Laboratory for Cancer Research, University of Wisconsin-Madison, Madison, WI, USA
| | - Samantha L Shapiro
- Department of Medicine, University of Wisconsin-Madison, Madison, WI, USA
- Waisman Center, University of Wisconsin-Madison, Madison, WI, USA
| | - Patricia Gallego-Muñoz
- Department of Cell Biology, Genetics, Histology and Pharmacology, Faculty of Medicine, University of Valladolid, Valladolid, Spain
| | - Joshua J Coon
- Department of Biomolecular Chemistry, University of Wisconsin-Madison, Madison, WI, USA
- Morgridge Institute for Research, Madison, WI, USA
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI, USA
| | - John M Denu
- Department of Biomolecular Chemistry, University of Wisconsin-Madison, Madison, WI, USA
- Wisconsin Institute for Discovery, University of Wisconsin-Madison, Madison, WI, USA
| | - Caroline M Alexander
- McArdle Laboratory for Cancer Research, University of Wisconsin-Madison, Madison, WI, USA
| | - Luigi Puglielli
- Department of Medicine, University of Wisconsin-Madison, Madison, WI, USA.
- Waisman Center, University of Wisconsin-Madison, Madison, WI, USA.
- Geriatric Research Education Clinical Center, Veterans Affairs Medical Center, Madison, WI, USA.
- Department of Neuroscience, University of Wisconsin-Madison, Madison, WI, USA.
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Novakovic MM, Korshunov KS, Grant RA, Martin ME, Valencia HA, Budinger GRS, Radulovic J, Prakriya M. Astrocyte reactivity and inflammation-induced depression-like behaviors are regulated by Orai1 calcium channels. Nat Commun 2023; 14:5500. [PMID: 37679321 PMCID: PMC10485021 DOI: 10.1038/s41467-023-40968-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Accepted: 08/17/2023] [Indexed: 09/09/2023] Open
Abstract
Astrocytes contribute to brain inflammation in neurological disorders but the molecular mechanisms controlling astrocyte reactivity and their relationship to neuroinflammatory endpoints are complex and poorly understood. In this study, we assessed the role of the calcium channel, Orai1, for astrocyte reactivity and inflammation-evoked depression behaviors in mice. Transcriptomics and metabolomics analysis indicated that deletion of Orai1 in astrocytes downregulates genes in inflammation and immunity, metabolism, and cell cycle pathways, and reduces cellular metabolites and ATP production. Systemic inflammation by peripheral lipopolysaccharide (LPS) increases hippocampal inflammatory markers in WT but not in astrocyte Orai1 knockout mice. Loss of Orai1 also blunts inflammation-induced astrocyte Ca2+ signaling and inhibitory neurotransmission in the hippocampus. In line with these cellular changes, Orai1 knockout mice showed amelioration of LPS-evoked depression-like behaviors including anhedonia and helplessness. These findings identify Orai1 as an important signaling hub controlling astrocyte reactivity and astrocyte-mediated brain inflammation that is commonly observed in many neurological disorders.
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Affiliation(s)
- Michaela M Novakovic
- Department of Pharmacology, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA
| | - Kirill S Korshunov
- Department of Pharmacology, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA
| | - Rogan A Grant
- Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA
| | - Megan E Martin
- Department of Pharmacology, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA
| | - Hiam A Valencia
- Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA
| | - G R Scott Budinger
- Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA
| | - Jelena Radulovic
- Department of Neuroscience, Albert Einstein School of Medicine, Bronx, NY, 10461, USA
| | - Murali Prakriya
- Department of Pharmacology, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA.
- Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA.
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111
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Lynch MT, Taub MA, Farfel JM, Yang J, Abadir P, De Jager PL, Grodstein F, Bennett DA, Mathias RA. Evaluating genomic signatures of aging in brain tissue as it relates to Alzheimer's disease. Sci Rep 2023; 13:14747. [PMID: 37679407 PMCID: PMC10484923 DOI: 10.1038/s41598-023-41400-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Accepted: 08/25/2023] [Indexed: 09/09/2023] Open
Abstract
Telomere length (TL) attrition, epigenetic age acceleration, and mitochondrial DNA copy number (mtDNAcn) decline are established hallmarks of aging. Each has been individually associated with Alzheimer's dementia, cognitive function, and pathologic Alzheimer's disease (AD). Epigenetic age and mtDNAcn have been studied in brain tissue directly but prior work on TL in brain is limited to small sample sizes and most studies have examined leukocyte TL. Importantly, TL, epigenetic age clocks, and mtDNAcn have not been studied jointly in brain tissue from an AD cohort. We examined dorsolateral prefrontal cortex (DLPFC) tissue from N = 367 participants of the Religious Orders Study (ROS) or the Rush Memory and Aging Project (MAP). TL and mtDNAcn were estimated from whole genome sequencing (WGS) data and cortical clock age was computed on 347 CpG sites. We examined dementia, MCI, and level of and change in cognition, pathologic AD, and three quantitative AD traits, as well as measures of other neurodegenerative diseases and cerebrovascular diseases (CVD). We previously showed that mtDNAcn from DLPFC brain tissue was associated with clinical and pathologic features of AD. Here, we show that those associations are independent of TL. We found TL to be associated with β-amyloid levels (beta = - 0.15, p = 0.023), hippocampal sclerosis (OR = 0.56, p = 0.0015) and cerebral atherosclerosis (OR = 1.44, p = 0.0007). We found strong associations between mtDNAcn and clinical measures of AD. The strongest associations with pathologic measures of AD were with cortical clock and there were associations of mtDNAcn with global AD pathology and tau tangles. Of the other pathologic traits, mtDNAcn was associated with hippocampal sclerosis, macroscopic infarctions and CAA and cortical clock was associated with Lewy bodies. Multi-modal age acceleration, accelerated aging on both mtDNAcn and cortical clock, had greater effect size than a single measure alone. These findings highlight for the first time that age acceleration determined on multiple genomic measures, mtDNAcn and cortical clock may have a larger effect on AD/AD related disorders (ADRD) pathogenesis than single measures.
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Affiliation(s)
- Megan T Lynch
- Department of Medicine, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Margaret A Taub
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Jose M Farfel
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Jingyun Yang
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Peter Abadir
- Department of Medicine, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Philip L De Jager
- Center for Translational and Computational Neuroimmunology, Department of Neurology, Columbia University Irving Medical Center, New York, NY, USA
| | - Francine Grodstein
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Rasika A Mathias
- Department of Medicine, School of Medicine, Johns Hopkins University, Baltimore, MD, USA.
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112
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Weng C, Gu A, Zhang S, Lu L, Ke L, Gao P, Liu X, Wang Y, Hu P, Plummer D, MacDonald E, Zhang S, Xi J, Lai S, Leskov K, Yuan K, Jin F, Li Y. Single cell multiomic analysis reveals diabetes-associated β-cell heterogeneity driven by HNF1A. Nat Commun 2023; 14:5400. [PMID: 37669939 PMCID: PMC10480445 DOI: 10.1038/s41467-023-41228-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Accepted: 08/29/2023] [Indexed: 09/07/2023] Open
Abstract
Broad heterogeneity in pancreatic β-cell function and morphology has been widely reported. However, determining which components of this cellular heterogeneity serve a diabetes-relevant function remains challenging. Here, we integrate single-cell transcriptome, single-nuclei chromatin accessibility, and cell-type specific 3D genome profiles from human islets and identify Type II Diabetes (T2D)-associated β-cell heterogeneity at both transcriptomic and epigenomic levels. We develop a computational method to explicitly dissect the intra-donor and inter-donor heterogeneity between single β-cells, which reflect distinct mechanisms of T2D pathogenesis. Integrative transcriptomic and epigenomic analysis identifies HNF1A as a principal driver of intra-donor heterogeneity between β-cells from the same donors; HNF1A expression is also reduced in β-cells from T2D donors. Interestingly, HNF1A activity in single β-cells is significantly associated with lower Na+ currents and we nominate a HNF1A target, FXYD2, as the primary mitigator. Our study demonstrates the value of investigating disease-associated single-cell heterogeneity and provides new insights into the pathogenesis of T2D.
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Affiliation(s)
- Chen Weng
- Department of Genetics and Genome Sciences, School of Medicine, Case Western Reserve University, Cleveland, OH, 44106, USA
- The Biomedical Sciences Training Program (BSTP), School of Medicine, Case Western Reserve University, Cleveland, OH, 44106, USA
| | - Anniya Gu
- Department of Genetics and Genome Sciences, School of Medicine, Case Western Reserve University, Cleveland, OH, 44106, USA
- Medical Scientist Training Program (MSTP), School of Medicine, Case Western Reserve University, Cleveland, OH, 44106, USA
| | - Shanshan Zhang
- Department of Genetics and Genome Sciences, School of Medicine, Case Western Reserve University, Cleveland, OH, 44106, USA
- The Biomedical Sciences Training Program (BSTP), School of Medicine, Case Western Reserve University, Cleveland, OH, 44106, USA
| | - Leina Lu
- Department of Genetics and Genome Sciences, School of Medicine, Case Western Reserve University, Cleveland, OH, 44106, USA
| | - Luxin Ke
- Department of Genetics and Genome Sciences, School of Medicine, Case Western Reserve University, Cleveland, OH, 44106, USA
- The Biomedical Sciences Training Program (BSTP), School of Medicine, Case Western Reserve University, Cleveland, OH, 44106, USA
| | - Peidong Gao
- Department of Genetics and Genome Sciences, School of Medicine, Case Western Reserve University, Cleveland, OH, 44106, USA
| | - Xiaoxiao Liu
- Department of Genetics and Genome Sciences, School of Medicine, Case Western Reserve University, Cleveland, OH, 44106, USA
| | - Yuntong Wang
- Department of Genetics and Genome Sciences, School of Medicine, Case Western Reserve University, Cleveland, OH, 44106, USA
| | - Peinan Hu
- Department of Genetics and Genome Sciences, School of Medicine, Case Western Reserve University, Cleveland, OH, 44106, USA
- The Biomedical Sciences Training Program (BSTP), School of Medicine, Case Western Reserve University, Cleveland, OH, 44106, USA
| | - Dylan Plummer
- Department of Computer and Data Sciences, School of Engineering, Case Western Reserve University, Cleveland, OH, 44106, USA
| | - Elise MacDonald
- Department of Genetics and Genome Sciences, School of Medicine, Case Western Reserve University, Cleveland, OH, 44106, USA
| | - Saixian Zhang
- Department of Genetics and Genome Sciences, School of Medicine, Case Western Reserve University, Cleveland, OH, 44106, USA
| | - Jiajia Xi
- Department of Genetics and Genome Sciences, School of Medicine, Case Western Reserve University, Cleveland, OH, 44106, USA
| | - Sisi Lai
- Department of Genetics and Genome Sciences, School of Medicine, Case Western Reserve University, Cleveland, OH, 44106, USA
- The Biomedical Sciences Training Program (BSTP), School of Medicine, Case Western Reserve University, Cleveland, OH, 44106, USA
| | - Konstantin Leskov
- Department of Genetics and Genome Sciences, School of Medicine, Case Western Reserve University, Cleveland, OH, 44106, USA
| | - Kyle Yuan
- Department of Genetics and Genome Sciences, School of Medicine, Case Western Reserve University, Cleveland, OH, 44106, USA
- Department of Biochemistry, School of Medicine, Case Western Reserve University, Cleveland, OH, 44106, USA
| | - Fulai Jin
- Department of Genetics and Genome Sciences, School of Medicine, Case Western Reserve University, Cleveland, OH, 44106, USA.
- Department of Computer and Data Sciences, School of Engineering, Case Western Reserve University, Cleveland, OH, 44106, USA.
- Case Comprehensive Cancer Center, Case Western Reserve University, Cleveland, OH, 44106, USA.
- Department of Population and Quantitative Health Sciences, School of Medicine, Case Western Reserve University, Cleveland, OH, 44106, USA.
| | - Yan Li
- Department of Genetics and Genome Sciences, School of Medicine, Case Western Reserve University, Cleveland, OH, 44106, USA.
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113
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Ferreira AC, Hemmer BM, Philippi SM, Grau-Perales AB, Rosenstadt JL, Liu H, Zhu JD, Kareva T, Ahfeldt T, Varghese M, Hof PR, Castellano JM. Neuronal TIMP2 regulates hippocampus-dependent plasticity and extracellular matrix complexity. Mol Psychiatry 2023; 28:3943-3954. [PMID: 37914840 PMCID: PMC10730400 DOI: 10.1038/s41380-023-02296-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Revised: 09/27/2023] [Accepted: 10/06/2023] [Indexed: 11/03/2023]
Abstract
Functional output of the hippocampus, a brain region subserving memory function, depends on highly orchestrated cellular and molecular processes that regulate synaptic plasticity throughout life. The structural requirements of such plasticity and molecular events involved in this regulation are poorly understood. Specific molecules, including tissue inhibitor of metalloproteinases-2 (TIMP2) have been implicated in plasticity processes in the hippocampus, a role that decreases with brain aging as expression is lost. Here, we report that TIMP2 is highly expressed by neurons within the hippocampus and its loss drives changes in cellular programs related to adult neurogenesis and dendritic spine turnover with corresponding impairments in hippocampus-dependent memory. Consistent with the accumulation of extracellular matrix (ECM) in the hippocampus we observe with aging, we find that TIMP2 acts to reduce accumulation of ECM around synapses in the hippocampus. Moreover, its deletion results in hindrance of newborn neuron migration through a denser ECM network. A novel conditional TIMP2 knockout (KO) model reveals that neuronal TIMP2 regulates adult neurogenesis, accumulation of ECM, and ultimately hippocampus-dependent memory. Our results define a mechanism whereby hippocampus-dependent function is regulated by TIMP2 and its interactions with the ECM to regulate diverse processes associated with synaptic plasticity.
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Affiliation(s)
- Ana Catarina Ferreira
- Nash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Ronald M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Brittany M Hemmer
- Nash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Ronald M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Sarah M Philippi
- Nash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Ronald M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Alejandro B Grau-Perales
- Nash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Ronald M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jacob L Rosenstadt
- Nash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Ronald M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Hanxiao Liu
- Nash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Ronald M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jeffrey D Zhu
- Nash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Ronald M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Tatyana Kareva
- Nash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Ronald M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Tim Ahfeldt
- Nash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Ronald M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Merina Varghese
- Nash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Patrick R Hof
- Nash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Ronald M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Joseph M Castellano
- Nash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Ronald M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
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114
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Villalobos TV, Ghosh B, DeLeo KR, Alam S, Ricaurte-Perez C, Wang A, Mercola BM, Butsch TJ, Ramos CD, Das S, Eymard ED, Bohnert KA, Johnson AE. Tubular lysosome induction couples animal starvation to healthy aging. Nat Aging 2023; 3:1091-1106. [PMID: 37580394 PMCID: PMC10501908 DOI: 10.1038/s43587-023-00470-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Accepted: 07/17/2023] [Indexed: 08/16/2023]
Abstract
Dietary restriction promotes longevity in several species via autophagy activation. However, changes to lysosomes underlying this effect remain unclear. Here using the nematode Caenorhabditis elegans, we show that the induction of autophagic tubular lysosomes (TLs), which occurs upon dietary restriction or mechanistic target of rapamycin inhibition, is a critical event linking reduced food intake to lifespan extension. We find that starvation induces TLs not only in affected individuals but also in well-fed descendants, and the presence of gut TLs in well-fed progeny is predictive of enhanced lifespan. Furthermore, we demonstrate that expression of Drosophila small VCP-interacting protein, a TL activator in flies, artificially induces TLs in well-fed worms and improves C. elegans health in old age. These findings identify TLs as a new class of lysosomes that couples starvation to healthy aging.
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Affiliation(s)
- Tatiana V Villalobos
- Department of Biological Sciences, Louisiana State University, Baton Rouge, LA, USA
| | - Bhaswati Ghosh
- Department of Biological Sciences, Louisiana State University, Baton Rouge, LA, USA
| | - Kathryn R DeLeo
- Department of Biological Sciences, Louisiana State University, Baton Rouge, LA, USA
| | - Sanaa Alam
- Department of Biological Sciences, Louisiana State University, Baton Rouge, LA, USA
| | | | - Andrew Wang
- Department of Biological Sciences, Louisiana State University, Baton Rouge, LA, USA
| | - Brennan M Mercola
- Department of Biological Sciences, Louisiana State University, Baton Rouge, LA, USA
| | - Tyler J Butsch
- Department of Biological Sciences, Louisiana State University, Baton Rouge, LA, USA
| | - Cara D Ramos
- Department of Biological Sciences, Louisiana State University, Baton Rouge, LA, USA
| | - Suman Das
- Department of Biological Sciences, Louisiana State University, Baton Rouge, LA, USA
| | - Eric D Eymard
- Department of Biological Sciences, Louisiana State University, Baton Rouge, LA, USA
| | - K Adam Bohnert
- Department of Biological Sciences, Louisiana State University, Baton Rouge, LA, USA.
| | - Alyssa E Johnson
- Department of Biological Sciences, Louisiana State University, Baton Rouge, LA, USA.
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115
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Ji M, Xu X, Xu Q, Hsiao YC, Martin C, Ukraintseva S, Popov V, Arbeev KG, Randall TA, Wu X, Garcia-Peterson LM, Liu J, Xu X, Andrea Azcarate-Peril M, Wan Y, Yashin AI, Anantharaman K, Lu K, Li JL, Shats I, Li X. Methionine restriction-induced sulfur deficiency impairs antitumour immunity partially through gut microbiota. Nat Metab 2023; 5:1526-1543. [PMID: 37537369 PMCID: PMC10513933 DOI: 10.1038/s42255-023-00854-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Accepted: 06/30/2023] [Indexed: 08/05/2023]
Abstract
Restriction of methionine (MR), a sulfur-containing essential amino acid, has been reported to repress cancer growth and improve therapeutic responses in several preclinical settings. However, how MR impacts cancer progression in the context of the intact immune system is unknown. Here we report that while inhibiting cancer growth in immunocompromised mice, MR reduces T cell abundance, exacerbates tumour growth and impairs tumour response to immunotherapy in immunocompetent male and female mice. Mechanistically, MR reduces microbial production of hydrogen sulfide, which is critical for immune cell survival/activation. Dietary supplementation of a hydrogen sulfide donor or a precursor, or methionine, stimulates antitumour immunity and suppresses tumour progression. Our findings reveal an unexpected negative interaction between MR, sulfur deficiency and antitumour immunity and further uncover a vital role of gut microbiota in mediating this interaction. Our study suggests that any possible anticancer benefits of MR require careful consideration of both the microbiota and the immune system.
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Affiliation(s)
- Ming Ji
- Signal Transduction Laboratory, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA
| | - Xiaojiang Xu
- Integrative Bioinformatics, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA
| | - Qing Xu
- Signal Transduction Laboratory, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA
| | - Yun-Chung Hsiao
- Department of Environmental Sciences and Engineering, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Cody Martin
- Department of Bacteriology, University of Wisconsin-Madison, Madison, WI, USA
- Microbiology Doctoral Training Program, University of Wisconsin-Madison, Madison, WI, USA
| | - Svetlana Ukraintseva
- Social Science Research Institute, Duke University School of Medicine, Durham, NC, USA
| | - Vladimir Popov
- Social Science Research Institute, Duke University School of Medicine, Durham, NC, USA
| | - Konstantin G Arbeev
- Social Science Research Institute, Duke University School of Medicine, Durham, NC, USA
| | - Tom A Randall
- Integrative Bioinformatics, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA
| | - Xiaoyue Wu
- Signal Transduction Laboratory, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA
| | - Liz M Garcia-Peterson
- Signal Transduction Laboratory, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA
| | - Juan Liu
- Department of Pharmacology and Cancer Biology, Duke University School of Medicine, Durham, NC, USA
| | - Xin Xu
- Epigenetics and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA
| | - M Andrea Azcarate-Peril
- Department of Medicine, Division of Gastroenterology and Hepatology and Microbiome Core Facility, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Yisong Wan
- Department of Microbiology and Immunology and Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Anatoliy I Yashin
- Social Science Research Institute, Duke University School of Medicine, Durham, NC, USA
| | | | - Kun Lu
- Department of Environmental Sciences and Engineering, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Jian-Liang Li
- Integrative Bioinformatics, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA
| | - Igor Shats
- Signal Transduction Laboratory, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA
| | - Xiaoling Li
- Signal Transduction Laboratory, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA.
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Abstract
Balanced immunity is pivotal for health and homeostasis. CD4+ helper T (Th) cells are central to the balance between immune tolerance and immune rejection. Th cells adopt distinct functions to maintain tolerance and clear pathogens. Dysregulation of Th cell function often leads to maladies, including autoimmunity, inflammatory disease, cancer, and infection. Regulatory T (Treg) and Th17 cells are critical Th cell types involved in immune tolerance, homeostasis, pathogenicity, and pathogen clearance. It is therefore critical to understand how Treg and Th17 cells are regulated in health and disease. Cytokines are instrumental in directing Treg and Th17 cell function. The evolutionarily conserved TGF-β (transforming growth factor-β) cytokine superfamily is of particular interest because it is central to the biology of both Treg cells that are predominantly immunosuppressive and Th17 cells that can be proinflammatory, pathogenic, and immune regulatory. How TGF-β superfamily members and their intricate signaling pathways regulate Treg and Th17 cell function is a question that has been intensely investigated for two decades. Here, we introduce the fundamental biology of TGF-β superfamily signaling, Treg cells, and Th17 cells and discuss in detail how the TGF-β superfamily contributes to Treg and Th17 cell biology through complex yet ordered and cooperative signaling networks.
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Affiliation(s)
- Junying Wang
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
- Department of Microbiology and Immunology, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Xingqi Zhao
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
- Department of Microbiology and Immunology, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Yisong Y Wan
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.
- Department of Microbiology and Immunology, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.
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Heinken A, Hertel J, Acharya G, Ravcheev DA, Nyga M, Okpala OE, Hogan M, Magnúsdóttir S, Martinelli F, Nap B, Preciat G, Edirisinghe JN, Henry CS, Fleming RMT, Thiele I. Genome-scale metabolic reconstruction of 7,302 human microorganisms for personalized medicine. Nat Biotechnol 2023; 41:1320-1331. [PMID: 36658342 PMCID: PMC10497413 DOI: 10.1038/s41587-022-01628-0] [Citation(s) in RCA: 40] [Impact Index Per Article: 40.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Accepted: 11/30/2022] [Indexed: 01/21/2023]
Abstract
The human microbiome influences the efficacy and safety of a wide variety of commonly prescribed drugs. Designing precision medicine approaches that incorporate microbial metabolism would require strain- and molecule-resolved, scalable computational modeling. Here, we extend our previous resource of genome-scale metabolic reconstructions of human gut microorganisms with a greatly expanded version. AGORA2 (assembly of gut organisms through reconstruction and analysis, version 2) accounts for 7,302 strains, includes strain-resolved drug degradation and biotransformation capabilities for 98 drugs, and was extensively curated based on comparative genomics and literature searches. The microbial reconstructions performed very well against three independently assembled experimental datasets with an accuracy of 0.72 to 0.84, surpassing other reconstruction resources and predicted known microbial drug transformations with an accuracy of 0.81. We demonstrate that AGORA2 enables personalized, strain-resolved modeling by predicting the drug conversion potential of the gut microbiomes from 616 patients with colorectal cancer and controls, which greatly varied between individuals and correlated with age, sex, body mass index and disease stages. AGORA2 serves as a knowledge base for the human microbiome and paves the way to personalized, predictive analysis of host-microbiome metabolic interactions.
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Affiliation(s)
- Almut Heinken
- School of Medicine, University of Galway, Galway, Ireland
- Ryan Institute, University of Galway, Galway, Ireland
- INSERM UMRS 1256, Nutrition, Genetics, and Environmental Risk Exposure (NGERE), University of Lorraine, Nancy, France
| | - Johannes Hertel
- School of Medicine, University of Galway, Galway, Ireland
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - Geeta Acharya
- Integrated BioBank of Luxembourg, Dudelange, Luxembourg
| | - Dmitry A Ravcheev
- School of Medicine, University of Galway, Galway, Ireland
- Ryan Institute, University of Galway, Galway, Ireland
| | | | | | - Marcus Hogan
- School of Medicine, University of Galway, Galway, Ireland
- Ryan Institute, University of Galway, Galway, Ireland
| | - Stefanía Magnúsdóttir
- Center for Molecular Medicine, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Filippo Martinelli
- School of Medicine, University of Galway, Galway, Ireland
- Ryan Institute, University of Galway, Galway, Ireland
| | - Bram Nap
- School of Medicine, University of Galway, Galway, Ireland
- Ryan Institute, University of Galway, Galway, Ireland
| | - German Preciat
- Leiden Academic Centre for Drug Research, Leiden University, Leiden, the Netherlands
| | - Janaka N Edirisinghe
- Computation Institute, University of Chicago, Chicago, IL, USA
- Mathematics and Computer Science Division, Argonne National Laboratory, Argonne, IL, USA
| | - Christopher S Henry
- Mathematics and Computer Science Division, Argonne National Laboratory, Argonne, IL, USA
| | - Ronan M T Fleming
- School of Medicine, University of Galway, Galway, Ireland
- Leiden Academic Centre for Drug Research, Leiden University, Leiden, the Netherlands
| | - Ines Thiele
- School of Medicine, University of Galway, Galway, Ireland.
- Ryan Institute, University of Galway, Galway, Ireland.
- Division of Microbiology, University of Galway, Galway, Ireland.
- APC Microbiome Ireland, Cork, Ireland.
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118
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Zhao M, Chauhan P, Sherman CA, Singh A, Kaileh M, Mazan-Mamczarz K, Ji H, Joy J, Nandi S, De S, Zhang Y, Fan J, Becker KG, Loke P, Zhou W, Sen R. NF-κB subunits direct kinetically distinct transcriptional cascades in antigen receptor-activated B cells. Nat Immunol 2023; 24:1552-1564. [PMID: 37524800 PMCID: PMC10457194 DOI: 10.1038/s41590-023-01561-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Accepted: 06/15/2023] [Indexed: 08/02/2023]
Abstract
The nuclear factor kappa B (NF-κB) family of transcription factors orchestrates signal-induced gene expression in diverse cell types. Cellular responses to NF-κB activation are regulated at the level of cell and signal specificity, as well as differential use of family members (subunit specificity). Here we used time-dependent multi-omics to investigate the selective functions of Rel and RelA, two closely related NF-κB proteins, in primary B lymphocytes activated via the B cell receptor. Despite large numbers of shared binding sites genome wide, Rel and RelA directed kinetically distinct cascades of gene expression in activated B cells. Single-cell RNA sequencing revealed marked heterogeneity of Rel- and RelA-specific responses, and sequential binding of these factors was not a major mechanism of protracted transcription. Moreover, nuclear co-expression of Rel and RelA led to functional antagonism between the factors. By rigorously identifying the target genes of each NF-κB subunit, these studies provide insights into exclusive functions of Rel and RelA in immunity and cancer.
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Affiliation(s)
- Mingming Zhao
- Gene Regulation Section, Laboratory of Molecular Biology and Immunology, National Institute on Aging, Baltimore, MD, USA
- Type 2 Immunity Section, Laboratory of Parasitic Diseases National Institute of Allergy and Infectious Diseases, Bethesda, MD, USA
| | - Prashant Chauhan
- Gene Regulation Section, Laboratory of Molecular Biology and Immunology, National Institute on Aging, Baltimore, MD, USA
| | - Cheryl A Sherman
- Gene Regulation Section, Laboratory of Molecular Biology and Immunology, National Institute on Aging, Baltimore, MD, USA
| | - Amit Singh
- Gene Regulation Section, Laboratory of Molecular Biology and Immunology, National Institute on Aging, Baltimore, MD, USA
| | - Mary Kaileh
- Gene Regulation Section, Laboratory of Molecular Biology and Immunology, National Institute on Aging, Baltimore, MD, USA
| | - Krystyna Mazan-Mamczarz
- Computational Biology and Genomics Core, Laboratory of Genetics and Genomics, National Institute on Aging, Baltimore, MD, USA
| | - Hongkai Ji
- Department of Biostatistics, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - Jaimy Joy
- Gene Regulation Section, Laboratory of Molecular Biology and Immunology, National Institute on Aging, Baltimore, MD, USA
| | - Satabdi Nandi
- Gene Regulation Section, Laboratory of Molecular Biology and Immunology, National Institute on Aging, Baltimore, MD, USA
| | - Supriyo De
- Computational Biology and Genomics Core, Laboratory of Genetics and Genomics, National Institute on Aging, Baltimore, MD, USA
| | - Yongqing Zhang
- Computational Biology and Genomics Core, Laboratory of Genetics and Genomics, National Institute on Aging, Baltimore, MD, USA
| | - Jinshui Fan
- Computational Biology and Genomics Core, Laboratory of Genetics and Genomics, National Institute on Aging, Baltimore, MD, USA
| | - Kevin G Becker
- Computational Biology and Genomics Core, Laboratory of Genetics and Genomics, National Institute on Aging, Baltimore, MD, USA
| | - Png Loke
- Type 2 Immunity Section, Laboratory of Parasitic Diseases National Institute of Allergy and Infectious Diseases, Bethesda, MD, USA
| | - Weiqiang Zhou
- Department of Biostatistics, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - Ranjan Sen
- Gene Regulation Section, Laboratory of Molecular Biology and Immunology, National Institute on Aging, Baltimore, MD, USA.
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119
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Tasaki S, Kim N, Truty T, Zhang A, Buchman AS, Lamar M, Bennett DA. Explainable deep learning approach for extracting cognitive features from hand-drawn images of intersecting pentagons. NPJ Digit Med 2023; 6:157. [PMID: 37612472 PMCID: PMC10447434 DOI: 10.1038/s41746-023-00904-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Accepted: 08/10/2023] [Indexed: 08/25/2023] Open
Abstract
Hand drawing, which requires multiple neural systems for planning and controlling sequential movements, is a useful cognitive test for older adults. However, the conventional visual assessment of these drawings only captures limited attributes and overlooks subtle details that could help track cognitive states. Here, we utilized a deep-learning model, PentaMind, to examine cognition-related features from hand-drawn images of intersecting pentagons. PentaMind, trained on 13,777 images from 3111 participants in three aging cohorts, explained 23.3% of the variance in the global cognitive scores, 1.92 times more than the conventional rating. This accuracy improvement was due to capturing additional drawing features associated with motor impairments and cerebrovascular pathologies. By systematically modifying the input images, we discovered several important drawing attributes for cognition, including line waviness. Our results demonstrate that deep learning models can extract novel drawing metrics to improve the assessment and monitoring of cognitive decline and dementia in older adults.
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Affiliation(s)
- Shinya Tasaki
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA.
- Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA.
| | - Namhee Kim
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
- Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
| | - Tim Truty
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Ada Zhang
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Aron S Buchman
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
- Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
| | - Melissa Lamar
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
- Department of Psychiatry and Behavioral Sciences, Rush University Medical Center, Chicago, IL, USA
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
- Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
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120
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Langella S, Barksdale NG, Vasquez D, Aguillon D, Chen Y, Su Y, Acosta-Baena N, Acosta-Uribe J, Baena AY, Garcia-Ospina G, Giraldo-Chica M, Tirado V, Muñoz C, Ríos-Romenets S, Guzman-Martínez C, Oliveira G, Yang HS, Vila-Castelar C, Pruzin JJ, Ghisays V, Arboleda-Velasquez JF, Kosik KS, Reiman EM, Lopera F, Quiroz YT. Effect of apolipoprotein genotype and educational attainment on cognitive function in autosomal dominant Alzheimer's disease. Nat Commun 2023; 14:5120. [PMID: 37612284 PMCID: PMC10447560 DOI: 10.1038/s41467-023-40775-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Accepted: 08/09/2023] [Indexed: 08/25/2023] Open
Abstract
Autosomal dominant Alzheimer's disease (ADAD) is genetically determined, but variability in age of symptom onset suggests additional factors may influence cognitive trajectories. Although apolipoprotein E (APOE) genotype and educational attainment both influence dementia onset in sporadic AD, evidence for these effects in ADAD is limited. To investigate the effects of APOE and educational attainment on age-related cognitive trajectories in ADAD, we analyzed data from 675 Presenilin-1 E280A mutation carriers and 594 non-carriers. Here we show that age-related cognitive decline is accelerated in ADAD mutation carriers who also have an APOE e4 allele compared to those who do not and delayed in mutation carriers who also have an APOE e2 allele compared to those who do not. Educational attainment is protective and moderates the effect of APOE on cognition. Despite ADAD mutation carriers being genetically determined to develop dementia, age-related cognitive decline may be influenced by other genetic and environmental factors.
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Affiliation(s)
| | - N Gil Barksdale
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Daniel Vasquez
- Grupo de Neurociencias de Antioquia, Facultad de Medicina, Universidad de Antioquia, Medellin, Colombia
| | - David Aguillon
- Grupo de Neurociencias de Antioquia, Facultad de Medicina, Universidad de Antioquia, Medellin, Colombia
| | | | - Yi Su
- Banner Alzheimer's Institute, Phoenix, AZ, USA
| | - Natalia Acosta-Baena
- Grupo de Neurociencias de Antioquia, Facultad de Medicina, Universidad de Antioquia, Medellin, Colombia
| | - Juliana Acosta-Uribe
- Grupo de Neurociencias de Antioquia, Facultad de Medicina, Universidad de Antioquia, Medellin, Colombia
- Neuroscience Research Institute and Department of Molecular, Cellular and Developmental Biology, University of California Santa Barbara, Santa Barbara, CA, USA
| | - Ana Y Baena
- Grupo de Neurociencias de Antioquia, Facultad de Medicina, Universidad de Antioquia, Medellin, Colombia
| | - Gloria Garcia-Ospina
- Grupo de Neurociencias de Antioquia, Facultad de Medicina, Universidad de Antioquia, Medellin, Colombia
| | - Margarita Giraldo-Chica
- Grupo de Neurociencias de Antioquia, Facultad de Medicina, Universidad de Antioquia, Medellin, Colombia
| | - Victoria Tirado
- Grupo de Neurociencias de Antioquia, Facultad de Medicina, Universidad de Antioquia, Medellin, Colombia
| | - Claudia Muñoz
- Grupo de Neurociencias de Antioquia, Facultad de Medicina, Universidad de Antioquia, Medellin, Colombia
| | - Silvia Ríos-Romenets
- Grupo de Neurociencias de Antioquia, Facultad de Medicina, Universidad de Antioquia, Medellin, Colombia
| | - Claudia Guzman-Martínez
- Grupo de Neurociencias de Antioquia, Facultad de Medicina, Universidad de Antioquia, Medellin, Colombia
| | - Gabriel Oliveira
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Hyun-Sik Yang
- Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | | | | | | | | | - Kenneth S Kosik
- Neuroscience Research Institute and Department of Molecular, Cellular and Developmental Biology, University of California Santa Barbara, Santa Barbara, CA, USA
| | | | - Francisco Lopera
- Grupo de Neurociencias de Antioquia, Facultad de Medicina, Universidad de Antioquia, Medellin, Colombia
| | - Yakeel T Quiroz
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
- Grupo de Neurociencias de Antioquia, Facultad de Medicina, Universidad de Antioquia, Medellin, Colombia.
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121
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Wang J, McVicar A, Chen Y, Deng HW, Zhao Z, Chen W, Li YP. Atp6i deficient mouse model uncovers transforming growth factor-β1 /Smad2/3 as a key signaling pathway regulating odontoblast differentiation and tooth root formation. Int J Oral Sci 2023; 15:35. [PMID: 37599332 PMCID: PMC10440342 DOI: 10.1038/s41368-023-00235-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Revised: 06/01/2023] [Accepted: 07/03/2023] [Indexed: 08/22/2023] Open
Abstract
The biomolecular mechanisms that regulate tooth root development and odontoblast differentiation are poorly understood. We found that Atp6i deficient mice (Atp6i-/-) arrested tooth root formation, indicated by truncated Hertwig's epithelial root sheath (HERS) progression. Furthermore, Atp6i deficiency significantly reduced the proliferation and differentiation of radicular odontogenic cells responsible for root formation. Atp6i-/- mice had largely decreased expression of odontoblast differentiation marker gene expression profiles (Col1a1, Nfic, Dspp, and Osx) in the alveolar bone. Atp6i-/- mice sample RNA-seq analysis results showed decreased expression levels of odontoblast markers. Additionally, there was a significant reduction in Smad2/3 activation, inhibiting transforming growth factor-β (TGF-β) signaling in Atp6i-/- odontoblasts. Through treating pulp precursor cells with Atp6i-/- or wild-type OC bone resorption-conditioned medium, we found the latter medium to promote odontoblast differentiation, as shown by increased odontoblast differentiation marker genes expression (Nfic, Dspp, Osx, and Runx2). This increased expression was significantly blocked by anti-TGF-β1 antibody neutralization, whereas odontoblast differentiation and Smad2/3 activation were significantly attenuated by Atp6i-/- OC conditioned medium. Importantly, ectopic TGF-β1 partially rescued root development and root dentin deposition of Atp6i-/- mice tooth germs were transplanted under mouse kidney capsules. Collectively, our novel data shows that the prevention of TGF-β1 release from the alveolar bone matrix due to OC dysfunction may lead to osteopetrosis-associated root formation via impaired radicular odontoblast differentiation. As such, this study uncovers TGF-β1 /Smad2/3 as a key signaling pathway regulating odontoblast differentiation and tooth root formation and may contribute to future therapeutic approaches to tooth root regeneration.
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Affiliation(s)
- Jue Wang
- Department of Pathology, School of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
- State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Department of Orthodontics, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - Abigail McVicar
- Division in Cellular and Molecular Medicine, Department of Pathology and Laboratory Medicine, Tulane University School of Medicine, Tulane University, New Orleans, LA, USA
| | - Yilin Chen
- Division in Cellular and Molecular Medicine, Department of Pathology and Laboratory Medicine, Tulane University School of Medicine, Tulane University, New Orleans, LA, USA
| | - Hong-Wen Deng
- Tulane Center of Biomedical Informatics and Genomics, Deming Department of Medicine, Tulane University School of Medicine, New Orleans, LA, USA
| | - Zhihe Zhao
- State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Department of Orthodontics, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - Wei Chen
- Department of Pathology, School of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA.
- Division in Cellular and Molecular Medicine, Department of Pathology and Laboratory Medicine, Tulane University School of Medicine, Tulane University, New Orleans, LA, USA.
| | - Yi-Ping Li
- Department of Pathology, School of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA.
- Division in Cellular and Molecular Medicine, Department of Pathology and Laboratory Medicine, Tulane University School of Medicine, Tulane University, New Orleans, LA, USA.
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122
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Kim HS, Parker DJ, Hardiman MM, Munkácsy E, Jiang N, Rogers AN, Bai Y, Brent C, Mobley JA, Austad SN, Pickering AM. Early-adulthood spike in protein translation drives aging via juvenile hormone/germline signaling. Nat Commun 2023; 14:5021. [PMID: 37596266 PMCID: PMC10439225 DOI: 10.1038/s41467-023-40618-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Accepted: 08/01/2023] [Indexed: 08/20/2023] Open
Abstract
Protein translation (PT) declines with age in invertebrates, rodents, and humans. It has been assumed that elevated PT at young ages is beneficial to health and PT ends up dropping as a passive byproduct of aging. In Drosophila, we show that a transient elevation in PT during early-adulthood exerts long-lasting negative impacts on aging trajectories and proteostasis in later-life. Blocking the early-life PT elevation robustly improves life-/health-span and prevents age-related protein aggregation, whereas transiently inducing an early-life PT surge in long-lived fly strains abolishes their longevity/proteostasis benefits. The early-life PT elevation triggers proteostatic dysfunction, silences stress responses, and drives age-related functional decline via juvenile hormone-lipid transfer protein axis and germline signaling. Our findings suggest that PT is adaptively suppressed after early-adulthood, alleviating later-life proteostatic burden, slowing down age-related functional decline, and improving lifespan. Our work provides a theoretical framework for understanding how lifetime PT dynamics shape future aging trajectories.
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Affiliation(s)
- Harper S Kim
- Center for Neurodegeneration and Experimental Therapeutics, Department of Neurology, University of Alabama at Birmingham, Birmingham, AL, 35294, USA
- Medical Scientist Training Program, University of Alabama at Birmingham, Birmingham, AL, 35294, USA
- Barshop Institute for Longevity and Aging Studies, University of Texas Health San Antonio, San Antonio, TX, 78229, USA
- Medical Scientist Training Program, University of Texas Health San Antonio, San Antonio, TX, 78229, USA
| | - Danitra J Parker
- Center for Neurodegeneration and Experimental Therapeutics, Department of Neurology, University of Alabama at Birmingham, Birmingham, AL, 35294, USA
- Department of Integrative Biology and Pharmacology, McGovern Medical School at UTHealth, Houston, TX, 77030, USA
| | - Madison M Hardiman
- Center for Neurodegeneration and Experimental Therapeutics, Department of Neurology, University of Alabama at Birmingham, Birmingham, AL, 35294, USA
| | - Erin Munkácsy
- Barshop Institute for Longevity and Aging Studies, University of Texas Health San Antonio, San Antonio, TX, 78229, USA
| | - Nisi Jiang
- Barshop Institute for Longevity and Aging Studies, University of Texas Health San Antonio, San Antonio, TX, 78229, USA
| | - Aric N Rogers
- MDI Biological Laboratory, Bar Harbor, ME, 04672, USA
| | - Yidong Bai
- Barshop Institute for Longevity and Aging Studies, University of Texas Health San Antonio, San Antonio, TX, 78229, USA
- Department of Cell Systems and Anatomy, University of Texas Health San Antonio, San Antonio, TX, 78229, USA
| | - Colin Brent
- USDA-ARS Arid Land Agricultural Research Center, Maricopa, AZ, 85138, USA
| | - James A Mobley
- Department of Anesthesiology and Perioperative Medicine, University of Alabama at Birmingham, Birmingham, AL, 35249, USA
| | - Steven N Austad
- Department of Biology, University of Alabama at Birmingham, Birmingham, AL, 35294, USA
- Nathan Shock Center, University of Alabama at Birmingham, Birmingham, AL, 35294, USA
| | - Andrew M Pickering
- Center for Neurodegeneration and Experimental Therapeutics, Department of Neurology, University of Alabama at Birmingham, Birmingham, AL, 35294, USA.
- Barshop Institute for Longevity and Aging Studies, University of Texas Health San Antonio, San Antonio, TX, 78229, USA.
- Department of Integrative Biology and Pharmacology, McGovern Medical School at UTHealth, Houston, TX, 77030, USA.
- Department of Molecular Medicine, University of Texas Health San Antonio, San Antonio, TX, 78229, USA.
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123
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Warfield AE, Gupta P, Ruhmann MM, Jeffs QL, Guidone GC, Rhymes HW, Thompson MI, Todd WD. A brainstem to circadian system circuit links Tau pathology to sundowning-related disturbances in an Alzheimer's disease mouse model. Nat Commun 2023; 14:5027. [PMID: 37596279 PMCID: PMC10439113 DOI: 10.1038/s41467-023-40546-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Accepted: 07/26/2023] [Indexed: 08/20/2023] Open
Abstract
Alzheimer's disease (AD) patients exhibit progressive disruption of entrained circadian rhythms and an aberrant circadian input pathway may underlie such dysfunction. Here we examine AD-related pathology and circadian dysfunction in the APPSwe-Tau (TAPP) model of AD. We show these mice exhibit phase delayed body temperature and locomotor activity with increases around the active-to-rest phase transition. Similar AD-related disruptions are associated with sundowning, characterized by late afternoon and early evening agitation and aggression, and we show TAPP mice exhibit increased aggression around this transition. We show such circadian dysfunction and aggression coincide with hyperphosphorylated Tau (pTau) development in lateral parabrachial (LPB) neurons, with these disturbances appearing earlier in females. Finally, we show LPB neurons, including those expressing dynorphin (LPBdyn), project to circadian structures and are affected by pTau, and LPBdyn ablations partially recapitulate the hyperthermia of TAPP mice. Altogether we link pTau in a brainstem circadian input pathway to AD-related disturbances relevant to sundowning.
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Affiliation(s)
- Andrew E Warfield
- Department of Zoology and Physiology, Program in Neuroscience, University of Wyoming, Laramie, WY, USA
| | - Pooja Gupta
- Department of Zoology and Physiology, Program in Neuroscience, University of Wyoming, Laramie, WY, USA
| | - Madison M Ruhmann
- Department of Zoology and Physiology, Program in Neuroscience, University of Wyoming, Laramie, WY, USA
| | - Quiana L Jeffs
- Department of Zoology and Physiology, Program in Neuroscience, University of Wyoming, Laramie, WY, USA
| | - Genevieve C Guidone
- Department of Zoology and Physiology, Program in Neuroscience, University of Wyoming, Laramie, WY, USA
| | - Hannah W Rhymes
- Department of Zoology and Physiology, Program in Neuroscience, University of Wyoming, Laramie, WY, USA
| | - McKenzi I Thompson
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - William D Todd
- Department of Zoology and Physiology, Program in Neuroscience, University of Wyoming, Laramie, WY, USA.
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124
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Liaudanskaya V, Fiore NJ, Zhang Y, Milton Y, Kelly MF, Coe M, Barreiro A, Rose VK, Shapiro MR, Mullis AS, Shevzov-Zebrun A, Blurton-Jones M, Whalen MJ, Symes AJ, Georgakoudi I, Nieland TJF, Kaplan DL. Mitochondria dysregulation contributes to secondary neurodegeneration progression post-contusion injury in human 3D in vitro triculture brain tissue model. Cell Death Dis 2023; 14:496. [PMID: 37537168 PMCID: PMC10400598 DOI: 10.1038/s41419-023-05980-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Revised: 06/13/2023] [Accepted: 07/11/2023] [Indexed: 08/05/2023]
Abstract
Traumatic Brain injury-induced disturbances in mitochondrial fission-and-fusion dynamics have been linked to the onset and propagation of neuroinflammation and neurodegeneration. However, cell-type-specific contributions and crosstalk between neurons, microglia, and astrocytes in mitochondria-driven neurodegeneration after brain injury remain undefined. We developed a human three-dimensional in vitro triculture tissue model of a contusion injury composed of neurons, microglia, and astrocytes and examined the contributions of mitochondrial dysregulation to neuroinflammation and progression of injury-induced neurodegeneration. Pharmacological studies presented here suggest that fragmented mitochondria released by microglia are a key contributor to secondary neuronal damage progression after contusion injury, a pathway that requires astrocyte-microglia crosstalk. Controlling mitochondrial dysfunction thus offers an exciting option for developing therapies for TBI patients.
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Affiliation(s)
- Volha Liaudanskaya
- Department of Biomedical Engineering, Tufts University, Medford, MA, USA
| | - Nicholas J Fiore
- Department of Biomedical Engineering, Tufts University, Medford, MA, USA
| | - Yang Zhang
- Department of Biomedical Engineering, Tufts University, Medford, MA, USA
| | - Yuka Milton
- Department of Biomedical Engineering, Tufts University, Medford, MA, USA
| | - Marilyn F Kelly
- Department of Biomedical Engineering, Tufts University, Medford, MA, USA
| | - Marly Coe
- Department of Biomedical Engineering, Tufts University, Medford, MA, USA
| | - Ariana Barreiro
- Department of Biomedical Engineering, Tufts University, Medford, MA, USA
| | - Victoria K Rose
- Department of Biomedical Engineering, Tufts University, Medford, MA, USA
| | - Matthew R Shapiro
- Department of Biomedical Engineering, Tufts University, Medford, MA, USA
| | - Adam S Mullis
- Department of Biomedical Engineering, Tufts University, Medford, MA, USA
| | | | - Mathew Blurton-Jones
- Department of Neurobiology and Behavior, University of California Irvine, Irvine, CA, USA
| | - Michael J Whalen
- Department of Pediatrics, Massachusetts General Hospital, Charlestown, MA, USA
| | - Aviva J Symes
- Department of Pharmacology and Molecular Therapeutics, Uniformed Services University, Bethesda, MD, USA
| | - Irene Georgakoudi
- Department of Biomedical Engineering, Tufts University, Medford, MA, USA
| | - Thomas J F Nieland
- Department of Biomedical Engineering, Tufts University, Medford, MA, USA
| | - David L Kaplan
- Department of Biomedical Engineering, Tufts University, Medford, MA, USA.
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125
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Boutros SW, Zimmerman B, Nagy SC, Unni VK, Raber J. Age, sex, and apolipoprotein E isoform alter contextual fear learning, neuronal activation, and baseline DNA damage in the hippocampus. Mol Psychiatry 2023; 28:3343-3354. [PMID: 36732588 PMCID: PMC10618101 DOI: 10.1038/s41380-023-01966-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Revised: 01/06/2023] [Accepted: 01/16/2023] [Indexed: 02/04/2023]
Abstract
Age, female sex, and apolipoprotein E4 (E4) are risk factors to develop Alzheimer's disease (AD). There are three major human apoE isoforms: E2, E3, and E4. Compared to E3, E4 increases while E2 decreases AD risk. However, E2 is associated with increased risk and severity of post-traumatic stress disorder (PTSD). In cognitively healthy adults, E4 carriers have greater brain activation during learning and memory tasks in the absence of behavioral differences. Human apoE targeted replacement (TR) mice display differences in fear extinction that parallel human data: E2 mice show impaired extinction, mirroring heightened PTSD symptoms in E2 combat veterans. Recently, an adaptive role of DNA double strand breaks (DSBs) in immediate early gene expression (IEG) has been described. Age and disease synergistically increase DNA damage and decrease DNA repair. As the mechanisms underlying the relative risks of apoE, sex, and their interactions in aging are unclear, we used young (3 months) and middle-aged (12 months) male and female TR mice to investigate the influence of these factors on DSBs and IEGs at baseline and following contextual fear conditioning. We assessed brain-wide changes in neural activation following fear conditioning using whole-brain cFos imaging in young female TR mice. E4 mice froze more during fear conditioning and had lower cFos immunoreactivity across regions important for somatosensation and contextual encoding compared to E2 mice. E4 mice also showed altered co-activation compared to E3 mice, corresponding to human MRI and cognitive data, and indicating that there are differences in brain activity and connectivity at young ages independent of fear learning. There were increased DSB markers in middle-aged animals and alterations to cFos levels dependent on sex and isoform, as well. The increase in hippocampal DSB markers in middle-aged animals and female E4 mice may play a role in the risk for developing AD.
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Affiliation(s)
- Sydney Weber Boutros
- Department of Behavioral Neuroscience, OHSU, 3181 SW Sam Jackson Park Rd, Portland, OR, 97239, USA
- Department of Psychological Sciences, Boise State University, 2133 W Cesar Chavez Ln, Boise, ID, 83725, USA
| | - Benjamin Zimmerman
- Department of Behavioral Neuroscience, OHSU, 3181 SW Sam Jackson Park Rd, Portland, OR, 97239, USA
- Advanced Imaging Research Center, OHSU, 3181 SW Sam Jackson Park Rd, Portland, OR, 97239, USA
- Helfgott Research Institute, NUNM, 2201 SW First Avenue, Portland, OR, 97201, USA
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, 405 N, Matthews Avenue, Urbana, IL 61801, USA
| | - Sydney C Nagy
- Department of Behavioral Neuroscience, OHSU, 3181 SW Sam Jackson Park Rd, Portland, OR, 97239, USA
| | - Vivek K Unni
- Department of Neurology, OHSU, 3181 SW Sam Jackson Park Rd, Portland, OR, 97239, USA
- Jungers Center for Neurosciences Research, OHSU; and OHSU Parkinson Center, 3181 SW Sam Jackson Park Rd, Portland, OR, 97239, USA
| | - Jacob Raber
- Department of Behavioral Neuroscience, OHSU, 3181 SW Sam Jackson Park Rd, Portland, OR, 97239, USA.
- Department of Neurology, OHSU, 3181 SW Sam Jackson Park Rd, Portland, OR, 97239, USA.
- Departments of Psychiatry and Radiation Medicine, OHSU, 3181 SW Sam Jackson Park Rd, Portland, OR, 97239, USA.
- Division of Neuroscience, ONPRC, 505 NW 185th Ave, Beaverton, OR, 97006, USA.
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126
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Bernardi P, Gerle C, Halestrap AP, Jonas EA, Karch J, Mnatsakanyan N, Pavlov E, Sheu SS, Soukas AA. Identity, structure, and function of the mitochondrial permeability transition pore: controversies, consensus, recent advances, and future directions. Cell Death Differ 2023; 30:1869-1885. [PMID: 37460667 PMCID: PMC10406888 DOI: 10.1038/s41418-023-01187-0] [Citation(s) in RCA: 26] [Impact Index Per Article: 26.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Revised: 06/15/2023] [Accepted: 06/23/2023] [Indexed: 07/22/2023] Open
Abstract
The mitochondrial permeability transition (mPT) describes a Ca2+-dependent and cyclophilin D (CypD)-facilitated increase of inner mitochondrial membrane permeability that allows diffusion of molecules up to 1.5 kDa in size. It is mediated by a non-selective channel, the mitochondrial permeability transition pore (mPTP). Sustained mPTP opening causes mitochondrial swelling, which ruptures the outer mitochondrial membrane leading to subsequent apoptotic and necrotic cell death, and is implicated in a range of pathologies. However, transient mPTP opening at various sub-conductance states may contribute several physiological roles such as alterations in mitochondrial bioenergetics and rapid Ca2+ efflux. Since its discovery decades ago, intensive efforts have been made to identify the exact pore-forming structure of the mPT. Both the adenine nucleotide translocase (ANT) and, more recently, the mitochondrial F1FO (F)-ATP synthase dimers, monomers or c-subunit ring alone have been implicated. Here we share the insights of several key investigators with different perspectives who have pioneered mPT research. We critically assess proposed models for the molecular identity of the mPTP and the mechanisms underlying its opposing roles in the life and death of cells. We provide in-depth insights into current controversies, seeking to achieve a degree of consensus that will stimulate future innovative research into the nature and role of the mPTP.
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Affiliation(s)
- Paolo Bernardi
- Department of Biomedical Sciences, University of Padova, Padova, Italy
| | - Christoph Gerle
- Laboratory of Protein Crystallography, Institute for Protein Research, Osaka University, Suita, Japan
| | - Andrew P Halestrap
- School of Biochemistry and Bristol Heart Institute, University of Bristol, Bristol, UK
| | - Elizabeth A Jonas
- Department of Internal Medicine, Section of Endocrinology, Yale University School of Medicine, New Haven, CT, USA
| | - Jason Karch
- Department of Integrative Physiology and Biophysics, Baylor College of Medicine, Houston, TX, USA
| | - Nelli Mnatsakanyan
- Department of Cellular and Molecular Physiology, College of Medicine, Penn State University, State College, PA, USA
| | - Evgeny Pavlov
- Department of Molecular Pathobiology, New York University, New York, NY, USA
| | - Shey-Shing Sheu
- Department of Medicine, Center for Translational Medicine, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA.
| | - Alexander A Soukas
- Department of Medicine, Diabetes Unit and Center for Genomic Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
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127
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McKay NS, Gordon BA, Hornbeck RC, Dincer A, Flores S, Keefe SJ, Joseph-Mathurin N, Jack CR, Koeppe R, Millar PR, Ances BM, Chen CD, Daniels A, Hobbs DA, Jackson K, Koudelis D, Massoumzadeh P, McCullough A, Nickels ML, Rahmani F, Swisher L, Wang Q, Allegri RF, Berman SB, Brickman AM, Brooks WS, Cash DM, Chhatwal JP, Day GS, Farlow MR, la Fougère C, Fox NC, Fulham M, Ghetti B, Graff-Radford N, Ikeuchi T, Klunk W, Lee JH, Levin J, Martins R, Masters CL, McConathy J, Mori H, Noble JM, Reischl G, Rowe C, Salloway S, Sanchez-Valle R, Schofield PR, Shimada H, Shoji M, Su Y, Suzuki K, Vöglein J, Yakushev I, Cruchaga C, Hassenstab J, Karch C, McDade E, Perrin RJ, Xiong C, Morris JC, Bateman RJ, Benzinger TLS. Positron emission tomography and magnetic resonance imaging methods and datasets within the Dominantly Inherited Alzheimer Network (DIAN). Nat Neurosci 2023; 26:1449-1460. [PMID: 37429916 PMCID: PMC10400428 DOI: 10.1038/s41593-023-01359-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Accepted: 05/15/2023] [Indexed: 07/12/2023]
Abstract
The Dominantly Inherited Alzheimer Network (DIAN) is an international collaboration studying autosomal dominant Alzheimer disease (ADAD). ADAD arises from mutations occurring in three genes. Offspring from ADAD families have a 50% chance of inheriting their familial mutation, so non-carrier siblings can be recruited for comparisons in case-control studies. The age of onset in ADAD is highly predictable within families, allowing researchers to estimate an individual's point in the disease trajectory. These characteristics allow candidate AD biomarker measurements to be reliably mapped during the preclinical phase. Although ADAD represents a small proportion of AD cases, understanding neuroimaging-based changes that occur during the preclinical period may provide insight into early disease stages of 'sporadic' AD also. Additionally, this study provides rich data for research in healthy aging through inclusion of the non-carrier controls. Here we introduce the neuroimaging dataset collected and describe how this resource can be used by a range of researchers.
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Affiliation(s)
| | | | | | - Aylin Dincer
- Washington University in St. Louis, St. Louis, MO, USA
| | - Shaney Flores
- Washington University in St. Louis, St. Louis, MO, USA
| | - Sarah J Keefe
- Washington University in St. Louis, St. Louis, MO, USA
| | | | | | | | | | - Beau M Ances
- Washington University in St. Louis, St. Louis, MO, USA
| | | | | | - Diana A Hobbs
- Washington University in St. Louis, St. Louis, MO, USA
| | | | | | | | | | | | | | - Laura Swisher
- Washington University in St. Louis, St. Louis, MO, USA
| | - Qing Wang
- Washington University in St. Louis, St. Louis, MO, USA
| | | | | | - Adam M Brickman
- Columbia University Irving Medical Center, New York, NY, USA
| | - William S Brooks
- Neuroscience Research Australia, Sydney, New South Wales, Australia
| | - David M Cash
- UK Dementia Research Institute at University College London, London, UK
- University College London, London, UK
| | - Jasmeer P Chhatwal
- Massachusetts General and Brigham & Women's Hospitals, Harvard Medical School, Boston, MA, USA
| | | | | | - Christian la Fougère
- Department of Radiology, University of Tübingen, Tübingen, Germany
- German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany
| | - Nick C Fox
- UK Dementia Research Institute at University College London, London, UK
- University College London, London, UK
| | - Michael Fulham
- Royal Prince Alfred Hospital, Sydney, New South Wales, Australia
| | | | | | | | | | | | - Johannes Levin
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
| | - Ralph Martins
- Edith Cowan University, Joondalup, Western Australia, Australia
| | | | | | | | - James M Noble
- Columbia University Irving Medical Center, New York, NY, USA
| | - Gerald Reischl
- Department of Radiology, University of Tübingen, Tübingen, Germany
| | | | | | - Raquel Sanchez-Valle
- Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clínic de Barcelona, IDIBAPS, University of Barcelona, Barcelona, Spain
| | - Peter R Schofield
- Neuroscience Research Australia, Sydney, New South Wales, Australia
- School of Biomedical Sciences, University of New South Wales, Sydney, New South Wales, Australia
| | | | | | - Yi Su
- Banner Alzheimer's Institute, Phoenix, AZ, USA
| | | | - Jonathan Vöglein
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
- Department of Neurology, Ludwig-Maximilians-Universität München, München, Germany
| | - Igor Yakushev
- School of Medicine, Technical University of Munich, Munich, Germany
| | | | | | - Celeste Karch
- Washington University in St. Louis, St. Louis, MO, USA
| | - Eric McDade
- Washington University in St. Louis, St. Louis, MO, USA
| | | | | | - John C Morris
- Washington University in St. Louis, St. Louis, MO, USA
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128
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Liu X, Jiang L, Ke M, Sigal IA, Chua J, Hoang QV, Chia AW, Najjar RP, Tan B, Cheong J, Bellemo V, Chong RS, Girard MJA, Ang M, Liu M, Garhöfer G, Barathi VA, Saw SM, Villiger M, Schmetterer L. Posterior scleral birefringence measured by triple-input polarization-sensitive imaging as a biomarker of myopia progression. Nat Biomed Eng 2023; 7:986-1000. [PMID: 37365268 PMCID: PMC10427432 DOI: 10.1038/s41551-023-01062-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Accepted: 05/30/2023] [Indexed: 06/28/2023]
Abstract
In myopic eyes, pathological remodelling of collagen in the posterior sclera has mostly been observed ex vivo. Here we report the development of triple-input polarization-sensitive optical coherence tomography (OCT) for measuring posterior scleral birefringence. In guinea pigs and humans, the technique offers superior imaging sensitivities and accuracies than dual-input polarization-sensitive OCT. In 8-week-long studies with young guinea pigs, scleral birefringence was positively correlated with spherical equivalent refractive errors and predicted the onset of myopia. In a cross-sectional study involving adult individuals, scleral birefringence was associated with myopia status and negatively correlated with refractive errors. Triple-input polarization-sensitive OCT may help establish posterior scleral birefringence as a non-invasive biomarker for assessing the progression of myopia.
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Affiliation(s)
- Xinyu Liu
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
- Academic Clinical Program, Duke-NUS Medical School, Singapore, Singapore
- SERI-NTU Advanced Ocular Engineering (STANCE) programme, Singapore, Singapore
| | - Liqin Jiang
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
- Academic Clinical Program, Duke-NUS Medical School, Singapore, Singapore
| | - Mengyuan Ke
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
- Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria
| | - Ian A Sigal
- Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Ophthalmology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Jacqueline Chua
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
- Academic Clinical Program, Duke-NUS Medical School, Singapore, Singapore
- SERI-NTU Advanced Ocular Engineering (STANCE) programme, Singapore, Singapore
| | - Quan V Hoang
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
- Academic Clinical Program, Duke-NUS Medical School, Singapore, Singapore
- Department of Ophthalmology, Yong Loo Lin School of Medicine National University of Singapore, Singapore, Singapore
- Department of Ophthalmology, Columbia University, New York, NY, USA
| | - Audrey Wi Chia
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
- Academic Clinical Program, Duke-NUS Medical School, Singapore, Singapore
| | - Raymond P Najjar
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
- Academic Clinical Program, Duke-NUS Medical School, Singapore, Singapore
- Department of Ophthalmology, Yong Loo Lin School of Medicine National University of Singapore, Singapore, Singapore
| | - Bingyao Tan
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
- SERI-NTU Advanced Ocular Engineering (STANCE) programme, Singapore, Singapore
- School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, Singapore, Singapore
| | - Jocelyn Cheong
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
- Academic Clinical Program, Duke-NUS Medical School, Singapore, Singapore
| | - Valentina Bellemo
- SERI-NTU Advanced Ocular Engineering (STANCE) programme, Singapore, Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | - Rachel S Chong
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
- Academic Clinical Program, Duke-NUS Medical School, Singapore, Singapore
| | - Michaël J A Girard
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
- Academic Clinical Program, Duke-NUS Medical School, Singapore, Singapore
- Institute of Molecular and Clinical Ophthalmology, Basel, Switzerland
| | - Marcus Ang
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
- Academic Clinical Program, Duke-NUS Medical School, Singapore, Singapore
| | - Mengyang Liu
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
- Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria
| | - Gerhard Garhöfer
- Department of Clinical Pharmacology, Medical University of Vienna, Vienna, Austria
| | - Veluchamy A Barathi
- Academic Clinical Program, Duke-NUS Medical School, Singapore, Singapore
- Department of Ophthalmology, Yong Loo Lin School of Medicine National University of Singapore, Singapore, Singapore
- Translational Pre-Clinical Model Platform, Singapore Eye Research Institute, Singapore, Singapore
| | - Seang-Mei Saw
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
- Academic Clinical Program, Duke-NUS Medical School, Singapore, Singapore
- Saw Swee Hock School of Public Health, ,National University of Singapore, National University Health System, Singapore, Singapore
| | - Martin Villiger
- Wellman Center for Photomedicine, Harvard Medical School and Massachusetts General Hospital, Boston, MA, USA
| | - Leopold Schmetterer
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore.
- Academic Clinical Program, Duke-NUS Medical School, Singapore, Singapore.
- SERI-NTU Advanced Ocular Engineering (STANCE) programme, Singapore, Singapore.
- Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria.
- School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, Singapore, Singapore.
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.
- Institute of Molecular and Clinical Ophthalmology, Basel, Switzerland.
- Department of Clinical Pharmacology, Medical University of Vienna, Vienna, Austria.
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129
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Wertz J, Moffitt TE, Arseneault L, Barnes JC, Boivin M, Corcoran DL, Danese A, Hancox RJ, Harrington H, Houts RM, Langevin S, Liu H, Poulton R, Sugden K, Tanksley PT, Williams BS, Caspi A. Genetic associations with parental investment from conception to wealth inheritance in six cohorts. Nat Hum Behav 2023; 7:1388-1401. [PMID: 37386103 PMCID: PMC10444618 DOI: 10.1038/s41562-023-01618-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Accepted: 05/05/2023] [Indexed: 07/01/2023]
Abstract
Genetic inheritance is not the only way parents' genes may affect children. It is also possible that parents' genes are associated with investments into children's development. We examined evidence for links between parental genetics and parental investments, from the prenatal period through to adulthood, using data from six population-based cohorts in the UK, US and New Zealand, together totalling 36,566 parents. Our findings revealed associations between parental genetics-summarized in a genome-wide polygenic score-and parental behaviour across development, from smoking in pregnancy, breastfeeding in infancy, parenting in childhood and adolescence, to leaving a wealth inheritance to adult children. Effect sizes tended to be small at any given time point, ranging from RR = 1.12 (95% confidence interval (95%CI) 1.09, 1.15) to RR = 0.76 (95%CI 0.72, 0.80) during the prenatal period and infancy; β = 0.07 (95%CI 0.04, 0.11) to β = 0.29 (95%CI 0.27, 0.32) in childhood and adolescence, and RR = 1.04 (95%CI 1.01, 1.06) to RR = 1.11 (95%CI 1.07, 1.15) in adulthood. There was evidence for accumulating effects across development, ranging from β = 0.15 (95%CI 0.11, 0.18) to β = 0.23 (95%CI 0.16, 0.29) depending on cohort. Our findings are consistent with the interpretation that parents pass on advantages to offspring not only via direct genetic transmission or purely environmental paths, but also via genetic associations with parental investment from conception to wealth inheritance.
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Affiliation(s)
- Jasmin Wertz
- Department of Psychology, University of Edinburgh, Edinburgh, UK.
| | - Terrie E Moffitt
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- PROMENTA Research Center, University of Oslo, Oslo, Norway
- Center for Genomic and Computational Biology, Duke University, Durham, NC, USA
- Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA
| | - Louise Arseneault
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - J C Barnes
- School of Criminal Justice, University of Cincinnati, Cincinnati, OH, USA
| | - Michel Boivin
- School of Psychology, Laval University, Quebec, Quebec, Canada
| | - David L Corcoran
- Department of Genetics, Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, USA
| | - Andrea Danese
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- National and Specialist CAMHS Clinic for Trauma, Anxiety and Depression, South London and Maudsley NHS Foundation Trust, London, UK
| | - Robert J Hancox
- Department of Preventive and Social Medicine, University of Otago, Dunedin, New Zealand
| | - HonaLee Harrington
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
| | - Renate M Houts
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
| | - Stephanie Langevin
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
- School of Psychology, Laval University, Quebec, Quebec, Canada
| | - Hexuan Liu
- School of Criminal Justice, University of Cincinnati, Cincinnati, OH, USA
- Institute for Interdisciplinary Data Science, University of Cincinnati, Cincinnati, OH, USA
| | - Richie Poulton
- Dunedin Multidisciplinary Health and Development Research Unit, Department of Psychology, University of Otago, Dunedin, New Zealand
| | - Karen Sugden
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
- Center for Genomic and Computational Biology, Duke University, Durham, NC, USA
| | - Peter T Tanksley
- Department of Psychology, University of Texas at Austin, Austin, TX, USA
- Population Research Center, University of Texas at Austin, Austin, TX, USA
| | - Benjamin S Williams
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
- Center for Genomic and Computational Biology, Duke University, Durham, NC, USA
| | - Avshalom Caspi
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- PROMENTA Research Center, University of Oslo, Oslo, Norway
- Center for Genomic and Computational Biology, Duke University, Durham, NC, USA
- Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA
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130
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Doolittle ML, Saul D, Kaur J, Rowsey JL, Vos SJ, Pavelko KD, Farr JN, Monroe DG, Khosla S. Multiparametric senescent cell phenotyping reveals targets of senolytic therapy in the aged murine skeleton. Nat Commun 2023; 14:4587. [PMID: 37524694 PMCID: PMC10390564 DOI: 10.1038/s41467-023-40393-9] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Accepted: 07/26/2023] [Indexed: 08/02/2023] Open
Abstract
Senescence drives organismal aging, yet the deep characterization of senescent cells in vivo remains incomplete. Here, we apply mass cytometry by time-of-flight using carefully validated antibodies to analyze senescent cells at single-cell resolution. We use multiple criteria to identify senescent mesenchymal cells that are growth-arrested and resistant to apoptosis. These p16 + Ki67-BCL-2+ cells are highly enriched for senescence-associated secretory phenotype and DNA damage markers, are strongly associated with age, and their percentages are increased in late osteoblasts/osteocytes and CD24high osteolineage cells. Moreover, both late osteoblasts/osteocytes and CD24high osteolineage cells are robustly cleared by genetic and pharmacologic senolytic therapies in aged mice. Following isolation, CD24+ skeletal cells exhibit growth arrest, senescence-associated β-galactosidase positivity, and impaired osteogenesis in vitro. These studies thus provide an approach using multiplexed protein profiling to define senescent mesenchymal cells in vivo and identify specific skeletal cell populations cleared by senolytics.
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Affiliation(s)
- Madison L Doolittle
- Division of Endocrinology, Diabetes and Metabolism, Mayo Clinic, Rochester, MN, 55905, USA
- Robert and Arlene Kogod Center on Aging, Mayo Clinic, Rochester, MN, 55905, USA
| | - Dominik Saul
- Division of Endocrinology, Diabetes and Metabolism, Mayo Clinic, Rochester, MN, 55905, USA
- Robert and Arlene Kogod Center on Aging, Mayo Clinic, Rochester, MN, 55905, USA
- Department for Trauma and Reconstructive Surgery, BG Clinic, University of Tübingen, Tübingen, Germany
| | - Japneet Kaur
- Division of Endocrinology, Diabetes and Metabolism, Mayo Clinic, Rochester, MN, 55905, USA
- Robert and Arlene Kogod Center on Aging, Mayo Clinic, Rochester, MN, 55905, USA
| | - Jennifer L Rowsey
- Division of Endocrinology, Diabetes and Metabolism, Mayo Clinic, Rochester, MN, 55905, USA
- Robert and Arlene Kogod Center on Aging, Mayo Clinic, Rochester, MN, 55905, USA
| | - Stephanie J Vos
- Division of Endocrinology, Diabetes and Metabolism, Mayo Clinic, Rochester, MN, 55905, USA
- Robert and Arlene Kogod Center on Aging, Mayo Clinic, Rochester, MN, 55905, USA
| | - Kevin D Pavelko
- Department of Immunology, Mayo Clinic, Rochester, MN, 55905, USA
| | - Joshua N Farr
- Division of Endocrinology, Diabetes and Metabolism, Mayo Clinic, Rochester, MN, 55905, USA
- Robert and Arlene Kogod Center on Aging, Mayo Clinic, Rochester, MN, 55905, USA
| | - David G Monroe
- Division of Endocrinology, Diabetes and Metabolism, Mayo Clinic, Rochester, MN, 55905, USA
- Robert and Arlene Kogod Center on Aging, Mayo Clinic, Rochester, MN, 55905, USA
| | - Sundeep Khosla
- Division of Endocrinology, Diabetes and Metabolism, Mayo Clinic, Rochester, MN, 55905, USA.
- Robert and Arlene Kogod Center on Aging, Mayo Clinic, Rochester, MN, 55905, USA.
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Casas M, Murray KD, Hino K, Vierra NC, Simó S, Trimmer JS, Dixon RE, Dickson EJ. NPC1-dependent alterations in K V2.1-Ca V1.2 nanodomains drive neuronal death in models of Niemann-Pick Type C disease. Nat Commun 2023; 14:4553. [PMID: 37507375 PMCID: PMC10382591 DOI: 10.1038/s41467-023-39937-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Accepted: 07/04/2023] [Indexed: 07/30/2023] Open
Abstract
Lysosomes communicate through cholesterol transfer at endoplasmic reticulum (ER) contact sites. At these sites, the Niemann Pick C1 cholesterol transporter (NPC1) facilitates the removal of cholesterol from lysosomes, which is then transferred to the ER for distribution to other cell membranes. Mutations in NPC1 result in cholesterol buildup within lysosomes, leading to Niemann-Pick Type C (NPC) disease, a progressive and fatal neurodegenerative disorder. The molecular mechanisms connecting NPC1 loss to NPC-associated neuropathology remain unknown. Here we show both in vitro and in an animal model of NPC disease that the loss of NPC1 function alters the distribution and activity of voltage-gated calcium channels (CaV). Underlying alterations in calcium channel localization and function are KV2.1 channels whose interactions drive calcium channel clustering to enhance calcium entry and fuel neurotoxic elevations in mitochondrial calcium. Targeted disruption of KV2-CaV interactions rescues aberrant CaV1.2 clustering, elevated mitochondrial calcium, and neurotoxicity in vitro. Our findings provide evidence that NPC is a nanostructural ion channel clustering disease, characterized by altered distribution and activity of ion channels at membrane contacts, which contribute to neurodegeneration.
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Affiliation(s)
- Maria Casas
- Department of Physiology and Membrane Biology, School of Medicine, University of California, Davis, CA, USA
| | - Karl D Murray
- Department of Physiology and Membrane Biology, School of Medicine, University of California, Davis, CA, USA
- Department of Psychiatry & Behavioral Sciences, School of Medicine, University of California, Davis, CA, USA
| | - Keiko Hino
- Department of Cell Biology and Human Anatomy, School of Medicine, University of California, Davis, CA, USA
| | - Nicholas C Vierra
- Department of Physiology and Membrane Biology, School of Medicine, University of California, Davis, CA, USA
| | - Sergi Simó
- Department of Cell Biology and Human Anatomy, School of Medicine, University of California, Davis, CA, USA
| | - James S Trimmer
- Department of Physiology and Membrane Biology, School of Medicine, University of California, Davis, CA, USA
| | - Rose E Dixon
- Department of Physiology and Membrane Biology, School of Medicine, University of California, Davis, CA, USA
| | - Eamonn J Dickson
- Department of Physiology and Membrane Biology, School of Medicine, University of California, Davis, CA, USA.
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132
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Lim AC, Barnes LL, Weissberger GH, Lamar M, Nguyen AL, Fenton L, Herrera J, Han SD. Quantification of race/ethnicity representation in Alzheimer's disease neuroimaging research in the USA: a systematic review. Commun Med (Lond) 2023; 3:101. [PMID: 37491471 PMCID: PMC10368705 DOI: 10.1038/s43856-023-00333-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Accepted: 07/05/2023] [Indexed: 07/27/2023] Open
Abstract
BACKGROUND Racial and ethnic minoritized groups are disproportionately at risk for Alzheimer's Disease (AD), but are not sufficiently recruited in AD neuroimaging research in the United States. This is important as sample composition impacts generalizability of findings, biomarker cutoffs, and treatment effects. No studies have quantified the breadth of race/ethnicity representation in the AD literature. METHODS This review identified median race/ethnicity composition of AD neuroimaging US-based research samples available as free full-text articles on PubMed. Two types of published studies were analyzed: studies that directly report race/ethnicity data (i.e., direct studies), and studies that do not report race/ethnicity but used data from a cohort study/database that does report this information (i.e., indirect studies). RESULTS Direct studies (n = 719) have median representation of 88.9% white or 87.4% Non-Hispanic white, 7.3% Black/African American, and 3.4% Hispanic/Latino ethnicity, with 0% Asian American, Native Hawaiian/Pacific Islander, and American Indian/Alaska Native, Multiracial, and Other Race participants. Cohort studies/databases (n = 44) from which indirect studies (n = 1745) derived are more diverse, with median representation of 84.2% white, 83.7% Non-Hispanic white, 11.6% Black/African American, 4.7% Hispanic/Latino, and 1.75% Asian American participants. Notably, 94% of indirect studies derive from just 10 cohort studies/databases. Comparisons of two time periods using a median split for publication year, 1994-2017 and 2018-2022, indicate that sample diversity has improved recently, particularly for Black/African American participants (3.39% from 1994-2017 and 8.29% from 2018-2022). CONCLUSIONS There is still underrepresentation of all minoritized groups relative to Census data, especially for Hispanic/Latino and Asian American individuals. The AD neuroimaging literature will benefit from increased representative recruitment of ethnic/racial minorities. More transparent reporting of race/ethnicity data is needed.
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Affiliation(s)
- Aaron C Lim
- Department of Family Medicine, Keck School of Medicine of USC, Alhambra, CA, USA
| | - Lisa L Barnes
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Gali H Weissberger
- The Interdisciplinary Department of Social Sciences, Bar-Ilan University, Raman Gat, Israel
| | - Melissa Lamar
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Annie L Nguyen
- Department of Family Medicine, Keck School of Medicine of USC, Alhambra, CA, USA
| | - Laura Fenton
- Department of Psychology, USC Dornsife College of Letters, Arts, and Sciences, Los Angeles, CA, USA
| | - Jennifer Herrera
- Department of Family Medicine, Keck School of Medicine of USC, Alhambra, CA, USA
| | - S Duke Han
- Department of Family Medicine, Keck School of Medicine of USC, Alhambra, CA, USA.
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA.
- Department of Psychology, USC Dornsife College of Letters, Arts, and Sciences, Los Angeles, CA, USA.
- USC School of Gerontology, Los Angeles, CA, USA.
- Department of Neurology, Keck School of Medicine of USC, Los Angeles, CA, USA.
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133
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Watanabe K, Wilmanski T, Baloni P, Robinson M, Garcia GG, Hoopmann MR, Midha MK, Baxter DH, Maes M, Morrone SR, Crebs KM, Kapil C, Kusebauch U, Wiedrick J, Lapidus J, Pflieger L, Lausted C, Roach JC, Glusman G, Cummings SR, Schork NJ, Price ND, Hood L, Miller RA, Moritz RL, Rappaport N. Lifespan-extending interventions induce consistent patterns of fatty acid oxidation in mouse livers. Commun Biol 2023; 6:768. [PMID: 37481675 PMCID: PMC10363145 DOI: 10.1038/s42003-023-05128-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Accepted: 07/10/2023] [Indexed: 07/24/2023] Open
Abstract
Aging manifests as progressive deteriorations in homeostasis, requiring systems-level perspectives to investigate the gradual molecular dysregulation of underlying biological processes. Here, we report systemic changes in the molecular regulation of biological processes under multiple lifespan-extending interventions. Differential Rank Conservation (DIRAC) analyses of mouse liver proteomics and transcriptomics data show that mechanistically distinct lifespan-extending interventions (acarbose, 17α-estradiol, rapamycin, and calorie restriction) generally tighten the regulation of biological modules. These tightening patterns are similar across the interventions, particularly in processes such as fatty acid oxidation, immune response, and stress response. Differences in DIRAC patterns between proteins and transcripts highlight specific modules which may be tightened via augmented cap-independent translation. Moreover, the systemic shifts in fatty acid metabolism are supported through integrated analysis of liver transcriptomics data with a mouse genome-scale metabolic model. Our findings highlight the power of systems-level approaches for identifying and characterizing the biological processes involved in aging and longevity.
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Affiliation(s)
| | | | - Priyanka Baloni
- School of Health Sciences, Purdue University, West Lafayette, IN, USA
| | | | - Gonzalo G Garcia
- Department of Pathology, University of Michigan School of Medicine, Ann Arbor, MI, USA
| | | | | | | | - Michal Maes
- Institute for Systems Biology, Seattle, WA, USA
| | | | | | - Charu Kapil
- Institute for Systems Biology, Seattle, WA, USA
| | | | - Jack Wiedrick
- Oregon Health and Science University, Portland, OR, USA
| | - Jodi Lapidus
- Oregon Health and Science University, Portland, OR, USA
| | - Lance Pflieger
- Institute for Systems Biology, Seattle, WA, USA
- Phenome Health, Seattle, WA, USA
| | | | | | | | - Steven R Cummings
- San Francisco Coordinating Center, California Pacific Medical Center Research Institute, San Francisco, CA, USA
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
| | - Nicholas J Schork
- Department of Quantitative Medicine, The Translational Genomics Research Institute (TGen), Phoenix, AZ, USA
- Department of Population Sciences and Molecular and Cell Biology, The City of Hope National Medical Center, Duarte, CA, USA
| | - Nathan D Price
- Institute for Systems Biology, Seattle, WA, USA
- Thorne HealthTech, New York, NY, USA
- Department of Bioengineering, University of Washington, Seattle, WA, USA
- Paul G. Allen School of Computer Science & Engineering, University of Washington, Seattle, WA, USA
| | - Leroy Hood
- Institute for Systems Biology, Seattle, WA, USA.
- Phenome Health, Seattle, WA, USA.
- Department of Bioengineering, University of Washington, Seattle, WA, USA.
- Paul G. Allen School of Computer Science & Engineering, University of Washington, Seattle, WA, USA.
- Department of Immunology, University of Washington, Seattle, WA, USA.
| | - Richard A Miller
- Department of Pathology, University of Michigan School of Medicine, Ann Arbor, MI, USA
- University of Michigan Geriatrics Center, Ann Arbor, MI, USA
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Quarato ER, Salama NA, Li AJ, Smith CO, Zhang J, Kawano Y, McArthur M, Liesveld JL, Becker MW, Elliott MR, Eliseev RA, Calvi LM. Efferocytosis by bone marrow mesenchymal stromal cells disrupts osteoblastic differentiation via mitochondrial remodeling. Cell Death Dis 2023; 14:428. [PMID: 37452070 PMCID: PMC10349065 DOI: 10.1038/s41419-023-05931-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Revised: 06/12/2023] [Accepted: 06/26/2023] [Indexed: 07/18/2023]
Abstract
The efficient clearance of dead and dying cells, efferocytosis, is critical to maintain tissue homeostasis. In the bone marrow microenvironment (BMME), this role is primarily fulfilled by professional bone marrow macrophages, but recent work has shown that mesenchymal stromal cells (MSCs) act as a non-professional phagocyte within the BMME. However, little is known about the mechanism and impact of efferocytosis on MSCs and on their function. To investigate, we performed flow cytometric analysis of neutrophil uptake by ST2 cells, a murine bone marrow-derived stromal cell line, and in murine primary bone marrow-derived stromal cells. Transcriptional analysis showed that MSCs possess the necessary receptors and internal processing machinery to conduct efferocytosis, with Axl and Tyro3 serving as the main receptors, while MerTK was not expressed. Moreover, the expression of these receptors was modulated by efferocytic behavior, regardless of apoptotic target. MSCs derived from human bone marrow also demonstrated efferocytic behavior, showing that MSC efferocytosis is conserved. In all MSCs, efferocytosis impaired osteoblastic differentiation. Transcriptional analysis and functional assays identified downregulation in MSC mitochondrial function upon efferocytosis. Experimentally, efferocytosis induced mitochondrial fission in MSCs. Pharmacologic inhibition of mitochondrial fission in MSCs not only decreased efferocytic activity but also rescued osteoblastic differentiation, demonstrating that efferocytosis-mediated mitochondrial remodeling plays a critical role in regulating MSC differentiation. This work describes a novel function of MSCs as non-professional phagocytes within the BMME and demonstrates that efferocytosis by MSCs plays a key role in directing mitochondrial remodeling and MSC differentiation. Efferocytosis by MSCs may therefore be a novel mechanism of dysfunction and senescence. Since our data in human MSCs show that MSC efferocytosis is conserved, the consequences of MSC efferocytosis may impact the behavior of these cells in the human skeleton, including bone marrow remodeling and bone loss in the setting of aging, cancer and other diseases.
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Affiliation(s)
- Emily R Quarato
- Department of Environmental Medicine, University of Rochester Medical Center, Rochester, NY, USA.
- James P. Wilmot Cancer Institute, University of Rochester Medical Center, Rochester, NY, USA.
- Center for Musculoskeletal Research, University of Rochester Medical Center, Rochester, NY, USA.
| | - Noah A Salama
- James P. Wilmot Cancer Institute, University of Rochester Medical Center, Rochester, NY, USA
- Center for Musculoskeletal Research, University of Rochester Medical Center, Rochester, NY, USA
- Department of Microbiology and Immunology, University of Rochester Medical Center, Rochester, NY, USA
| | - Allison J Li
- Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA
| | - Charles O Smith
- Center for Musculoskeletal Research, University of Rochester Medical Center, Rochester, NY, USA
| | - Jane Zhang
- James P. Wilmot Cancer Institute, University of Rochester Medical Center, Rochester, NY, USA
| | - Yuko Kawano
- James P. Wilmot Cancer Institute, University of Rochester Medical Center, Rochester, NY, USA
| | - Matthew McArthur
- Center for Musculoskeletal Research, University of Rochester Medical Center, Rochester, NY, USA
| | - Jane L Liesveld
- James P. Wilmot Cancer Institute, University of Rochester Medical Center, Rochester, NY, USA
- Department of Medicine, University of Rochester Medical Center, Rochester, NY, USA
| | - Michael W Becker
- James P. Wilmot Cancer Institute, University of Rochester Medical Center, Rochester, NY, USA
- Department of Medicine, University of Rochester Medical Center, Rochester, NY, USA
| | - Michael R Elliott
- University of Virginia, Department of Microbiology, Immunology, and Cancer Biology, Charlottesville, VA, USA
| | - Roman A Eliseev
- James P. Wilmot Cancer Institute, University of Rochester Medical Center, Rochester, NY, USA
- Center for Musculoskeletal Research, University of Rochester Medical Center, Rochester, NY, USA
- Department of Orthopedics, University of Rochester Medical Center, Rochester, NY, USA
- Department of Pathology and Laboratory Medicine, University of Rochester Medical Center, Rochester, NY, USA
| | - Laura M Calvi
- James P. Wilmot Cancer Institute, University of Rochester Medical Center, Rochester, NY, USA.
- Center for Musculoskeletal Research, University of Rochester Medical Center, Rochester, NY, USA.
- Department of Medicine, University of Rochester Medical Center, Rochester, NY, USA.
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Zhang Q, Jiang S, Schroeder A, Hu J, Li K, Zhang B, Dai D, Lee EB, Xiao R, Li M. Leveraging spatial transcriptomics data to recover cell locations in single-cell RNA-seq with CeLEry. Nat Commun 2023; 14:4050. [PMID: 37422469 PMCID: PMC10329686 DOI: 10.1038/s41467-023-39895-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2022] [Accepted: 07/03/2023] [Indexed: 07/10/2023] Open
Abstract
Single-cell RNA sequencing (scRNA-seq) has revolutionized our understanding of cellular heterogeneity in health and disease. However, the lack of physical relationships among dissociated cells has limited its applications. To address this issue, we present CeLEry (Cell Location recovEry), a supervised deep learning algorithm that leverages gene expression and spatial location relationships learned from spatial transcriptomics to recover the spatial origins of cells in scRNA-seq. CeLEry has an optional data augmentation procedure via a variational autoencoder, which improves the method's robustness and allows it to overcome noise in scRNA-seq data. We show that CeLEry can infer the spatial origins of cells in scRNA-seq at multiple levels, including 2D location and spatial domain of a cell, while also providing uncertainty estimates for the recovered locations. Our comprehensive benchmarking evaluations on multiple datasets generated from brain and cancer tissues using Visium, MERSCOPE, MERFISH, and Xenium demonstrate that CeLEry can reliably recover the spatial location information for cells using scRNA-seq data.
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Affiliation(s)
- Qihuang Zhang
- Department of Epidemiology, Biostatistics and Occupational Health, School of Population and Global Health, McGill University, Montreal, QC, Canada.
| | - Shunzhou Jiang
- Statistical Center for Single-Cell and Spatial Genomics, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Amelia Schroeder
- Statistical Center for Single-Cell and Spatial Genomics, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Jian Hu
- Department of Human Genetics, School of Medicine, Emory University, Atlanta, GA, 30322, USA
| | - Kejie Li
- Research Department, Biogen, Inc., 225 Binney St., Cambridge, MA, 02142, USA
| | - Baohong Zhang
- Research Department, Biogen, Inc., 225 Binney St., Cambridge, MA, 02142, USA
| | - David Dai
- Translational Neuropathology Research Laboratory, Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Edward B Lee
- Translational Neuropathology Research Laboratory, Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Rui Xiao
- Statistical Center for Single-Cell and Spatial Genomics, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Mingyao Li
- Statistical Center for Single-Cell and Spatial Genomics, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
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136
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Prater KE, Green KJ, Mamde S, Sun W, Cochoit A, Smith CL, Chiou KL, Heath L, Rose SE, Wiley J, Keene CD, Kwon RY, Snyder-Mackler N, Blue EE, Logsdon B, Young JE, Shojaie A, Garden GA, Jayadev S. Human microglia show unique transcriptional changes in Alzheimer's disease. Nat Aging 2023; 3:894-907. [PMID: 37248328 PMCID: PMC10353942 DOI: 10.1038/s43587-023-00424-y] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Accepted: 04/25/2023] [Indexed: 05/31/2023]
Abstract
Microglia, the innate immune cells of the brain, influence Alzheimer's disease (AD) progression and are potential therapeutic targets. However, microglia exhibit diverse functions, the regulation of which is not fully understood, complicating therapeutics development. To better define the transcriptomic phenotypes and gene regulatory networks associated with AD, we enriched for microglia nuclei from 12 AD and 10 control human dorsolateral prefrontal cortices (7 males and 15 females, all aged >60 years) before single-nucleus RNA sequencing. Here we describe both established and previously unrecognized microglial molecular phenotypes, the inferred gene networks driving observed transcriptomic change, and apply trajectory analysis to reveal the putative relationships between microglial phenotypes. We identify microglial phenotypes more prevalent in AD cases compared with controls. Further, we describe the heterogeneity in microglia subclusters expressing homeostatic markers. Our study demonstrates that deep profiling of microglia in human AD brain can provide insight into microglial transcriptional changes associated with AD.
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Affiliation(s)
| | - Kevin J Green
- Department of Neurology, University of Washington, Seattle, WA, USA
| | - Sainath Mamde
- Department of Neurology, University of Washington, Seattle, WA, USA
| | - Wei Sun
- Biostatistics Program, Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | | | - Carole L Smith
- Department of Neurology, University of Washington, Seattle, WA, USA
| | - Kenneth L Chiou
- Center for Evolution and Medicine, Arizona State University, Tempe, AZ, USA
- School of Life Sciences, Center for Evolution and Medicine, Arizona State University, Tempe, AZ, USA
| | | | - Shannon E Rose
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA
| | | | - C Dirk Keene
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA
| | - Ronald Y Kwon
- Institute for Stem Cell and Regenerative Medicine, University of Washington, Seattle, WA, USA
- Department of Orthopaedics and Sports Medicine, University of Washington, Seattle, WA, USA
| | - Noah Snyder-Mackler
- Center for Evolution and Medicine, Arizona State University, Tempe, AZ, USA
- School of Life Sciences, Center for Evolution and Medicine, Arizona State University, Tempe, AZ, USA
- ASU-Banner Neurodegenerative Disease Research Center, Arizona State University, Tempe, AZ, USA
| | - Elizabeth E Blue
- Division of Medical Genetics, University of Washington, Seattle, WA, USA
- Brotman Baty Institute for Precision Medicine, Seattle, WA, USA
| | - Benjamin Logsdon
- Sage Bionetworks, Seattle, WA, USA
- Cajal Neuroscience, Seattle, WA, USA
| | - Jessica E Young
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA
- Institute for Stem Cell and Regenerative Medicine, University of Washington, Seattle, WA, USA
| | - Ali Shojaie
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Gwenn A Garden
- Department of Neurology, University of North Carolina, Chapel Hill, NC, USA
| | - Suman Jayadev
- Department of Neurology, University of Washington, Seattle, WA, USA.
- Institute for Stem Cell and Regenerative Medicine, University of Washington, Seattle, WA, USA.
- Division of Medical Genetics, University of Washington, Seattle, WA, USA.
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137
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Lake J, Warly Solsberg C, Kim JJ, Acosta-Uribe J, Makarious MB, Li Z, Levine K, Heutink P, Alvarado CX, Vitale D, Kang S, Gim J, Lee KH, Pina-Escudero SD, Ferrucci L, Singleton AB, Blauwendraat C, Nalls MA, Yokoyama JS, Leonard HL. Multi-ancestry meta-analysis and fine-mapping in Alzheimer's disease. Mol Psychiatry 2023; 28:3121-3132. [PMID: 37198259 PMCID: PMC10615750 DOI: 10.1038/s41380-023-02089-w] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Revised: 03/27/2023] [Accepted: 03/31/2023] [Indexed: 05/19/2023]
Abstract
Genome-wide association studies (GWAS) of Alzheimer's disease are predominantly carried out in European ancestry individuals despite the known variation in genetic architecture and disease prevalence across global populations. We leveraged published GWAS summary statistics from European, East Asian, and African American populations, and an additional GWAS from a Caribbean Hispanic population using previously reported genotype data to perform the largest multi-ancestry GWAS meta-analysis of Alzheimer's disease and related dementias to date. This method allowed us to identify two independent novel disease-associated loci on chromosome 3. We also leveraged diverse haplotype structures to fine-map nine loci with a posterior probability >0.8 and globally assessed the heterogeneity of known risk factors across populations. Additionally, we compared the generalizability of multi-ancestry- and single-ancestry-derived polygenic risk scores in a three-way admixed Colombian population. Our findings highlight the importance of multi-ancestry representation in uncovering and understanding putative factors that contribute to risk of Alzheimer's disease and related dementias.
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Affiliation(s)
- Julie Lake
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
| | - Caroline Warly Solsberg
- Pharmaceutical Sciences and Pharmacogenomics, University of California, San Francisco, San Francisco, CA, USA
- Department of Neurology and Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
- Memory and Aging Center, University of California, San Francisco, San Francisco, CA, USA
| | - Jonggeol Jeffrey Kim
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
- Preventive Neurology Unit, Centre for Prevention Diagnosis and Detection, Wolfson Institute of Population Health, Queen Mary University of London, London, UK
| | - Juliana Acosta-Uribe
- Neuroscience Research Institute and the department of Molecular, Cellular and Developmental Biology, University of California, Santa Barbara, Santa Barbara, CA, USA
- Neuroscience Group of Antioquia, University of Antioquia, Medellín, Colombia
| | - Mary B Makarious
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
- Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, London, UK
- UCL Movement Disorders Centre, University College London, London, UK
| | - Zizheng Li
- Pharmaceutical Sciences and Pharmacogenomics, University of California, San Francisco, San Francisco, CA, USA
- Department of Neurology and Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Kristin Levine
- Data Tecnica International LLC, Washington, DC, USA
- Center for Alzheimer's and Related Dementias, National Institutes of Health, Bethesda, MD, USA
| | - Peter Heutink
- Alector, Inc. 131 Oyster Point Blvd, Suite 600, South San Francisco, CA, 94080, USA
| | - Chelsea X Alvarado
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
- Data Tecnica International LLC, Washington, DC, USA
- Center for Alzheimer's and Related Dementias, National Institutes of Health, Bethesda, MD, USA
| | - Dan Vitale
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
- Data Tecnica International LLC, Washington, DC, USA
- Center for Alzheimer's and Related Dementias, National Institutes of Health, Bethesda, MD, USA
| | - Sarang Kang
- Gwangju Alzheimer's disease and Related Dementia Cohort Research Center, Chosun University, Gwangju, 61452, Korea
- BK FOUR Department of Integrative Biological Sciences, Chosun University, Gwangju, 61452, Korea
| | - Jungsoo Gim
- Gwangju Alzheimer's disease and Related Dementia Cohort Research Center, Chosun University, Gwangju, 61452, Korea
- BK FOUR Department of Integrative Biological Sciences, Chosun University, Gwangju, 61452, Korea
- Department of Biomedical Science, Chosun University, Gwangju, 61452, Korea
| | - Kun Ho Lee
- Gwangju Alzheimer's disease and Related Dementia Cohort Research Center, Chosun University, Gwangju, 61452, Korea
- BK FOUR Department of Integrative Biological Sciences, Chosun University, Gwangju, 61452, Korea
- Department of Biomedical Science, Chosun University, Gwangju, 61452, Korea
- Korea Brain Research Institute, Daegu, 41062, Korea
| | - Stefanie D Pina-Escudero
- Pharmaceutical Sciences and Pharmacogenomics, University of California, San Francisco, San Francisco, CA, USA
- Department of Neurology and Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
- Memory and Aging Center, University of California, San Francisco, San Francisco, CA, USA
| | - Luigi Ferrucci
- Longitudinal Studies Section, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - Andrew B Singleton
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
- Center for Alzheimer's and Related Dementias, National Institutes of Health, Bethesda, MD, USA
| | - Cornelis Blauwendraat
- Center for Alzheimer's and Related Dementias, National Institutes of Health, Bethesda, MD, USA
- Integrative Neurogenomics Unit, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
| | - Mike A Nalls
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
- Data Tecnica International LLC, Washington, DC, USA
- Center for Alzheimer's and Related Dementias, National Institutes of Health, Bethesda, MD, USA
| | - Jennifer S Yokoyama
- Pharmaceutical Sciences and Pharmacogenomics, University of California, San Francisco, San Francisco, CA, USA
- Department of Neurology and Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
- Memory and Aging Center, University of California, San Francisco, San Francisco, CA, USA
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, USA
| | - Hampton L Leonard
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA.
- Data Tecnica International LLC, Washington, DC, USA.
- Center for Alzheimer's and Related Dementias, National Institutes of Health, Bethesda, MD, USA.
- German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany.
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138
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Fixsen BR, Han CZ, Zhou Y, Spann NJ, Saisan P, Shen Z, Balak C, Sakai M, Cobo I, Holtman IR, Warden AS, Ramirez G, Collier JG, Pasillas MP, Yu M, Hu R, Li B, Belhocine S, Gosselin D, Coufal NG, Ren B, Glass CK. SALL1 enforces microglia-specific DNA binding and function of SMADs to establish microglia identity. Nat Immunol 2023; 24:1188-1199. [PMID: 37322178 PMCID: PMC10307637 DOI: 10.1038/s41590-023-01528-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Accepted: 05/04/2023] [Indexed: 06/17/2023]
Abstract
Spalt-like transcription factor 1 (SALL1) is a critical regulator of organogenesis and microglia identity. Here we demonstrate that disruption of a conserved microglia-specific super-enhancer interacting with the Sall1 promoter results in complete and specific loss of Sall1 expression in microglia. By determining the genomic binding sites of SALL1 and leveraging Sall1 enhancer knockout mice, we provide evidence for functional interactions between SALL1 and SMAD4 required for microglia-specific gene expression. SMAD4 binds directly to the Sall1 super-enhancer and is required for Sall1 expression, consistent with an evolutionarily conserved requirement of the TGFβ and SMAD homologs Dpp and Mad for cell-specific expression of Spalt in the Drosophila wing. Unexpectedly, SALL1 in turn promotes binding and function of SMAD4 at microglia-specific enhancers while simultaneously suppressing binding of SMAD4 to enhancers of genes that become inappropriately activated in enhancer knockout microglia, thereby enforcing microglia-specific functions of the TGFβ-SMAD signaling axis.
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Affiliation(s)
- Bethany R Fixsen
- Department of Cellular and Molecular Medicine, School of Medicine, UC San Diego, La Jolla, CA, USA
| | - Claudia Z Han
- Department of Cellular and Molecular Medicine, School of Medicine, UC San Diego, La Jolla, CA, USA
| | - Yi Zhou
- Department of Cellular and Molecular Medicine, School of Medicine, UC San Diego, La Jolla, CA, USA
| | - Nathanael J Spann
- Department of Cellular and Molecular Medicine, School of Medicine, UC San Diego, La Jolla, CA, USA
| | - Payam Saisan
- Department of Cellular and Molecular Medicine, School of Medicine, UC San Diego, La Jolla, CA, USA
| | - Zeyang Shen
- Department of Cellular and Molecular Medicine, School of Medicine, UC San Diego, La Jolla, CA, USA
| | - Christopher Balak
- Department of Cellular and Molecular Medicine, School of Medicine, UC San Diego, La Jolla, CA, USA
| | - Mashito Sakai
- Department of Cellular and Molecular Medicine, School of Medicine, UC San Diego, La Jolla, CA, USA
- Department of Biochemistry and Molecular Biology, Nippon Medical School, Tokyo, Japan
| | - Isidoro Cobo
- Department of Cellular and Molecular Medicine, School of Medicine, UC San Diego, La Jolla, CA, USA
| | - Inge R Holtman
- Department of Cellular and Molecular Medicine, School of Medicine, UC San Diego, La Jolla, CA, USA
- Department of Biomedical Sciences of Cells and Systems, Section Molecular Neurobiology, University of Groningen and University Medical Center Groningen, Groningen, the Netherlands
| | - Anna S Warden
- Department of Cellular and Molecular Medicine, School of Medicine, UC San Diego, La Jolla, CA, USA
| | | | - Jana G Collier
- Department of Cellular and Molecular Medicine, School of Medicine, UC San Diego, La Jolla, CA, USA
| | - Martina P Pasillas
- Department of Cellular and Molecular Medicine, School of Medicine, UC San Diego, La Jolla, CA, USA
| | - Miao Yu
- Department of Cellular and Molecular Medicine, School of Medicine, UC San Diego, La Jolla, CA, USA
- Ludwig Institute for Cancer Research, La Jolla, CA, USA
| | - Rong Hu
- Department of Cellular and Molecular Medicine, School of Medicine, UC San Diego, La Jolla, CA, USA
- Ludwig Institute for Cancer Research, La Jolla, CA, USA
| | - Bin Li
- Department of Cellular and Molecular Medicine, School of Medicine, UC San Diego, La Jolla, CA, USA
- Ludwig Institute for Cancer Research, La Jolla, CA, USA
| | - Sarah Belhocine
- Axe Neuroscience, Centre de Recherche du CHU de Québec, Université Laval, Quebec, Quebec, Canada
- Département de Médecine Moléculaire de la Faculté de Médecine, Université Laval, Quebec, Quebec, Canada
| | - David Gosselin
- Axe Neuroscience, Centre de Recherche du CHU de Québec, Université Laval, Quebec, Quebec, Canada
- Département de Médecine Moléculaire de la Faculté de Médecine, Université Laval, Quebec, Quebec, Canada
| | - Nicole G Coufal
- Sanford Consortium for Regenerative Medicine, La Jolla, CA, USA
- Department of Pediatrics, School of Medicine, UC San Diego, La Jolla, CA, USA
| | - Bing Ren
- Department of Cellular and Molecular Medicine, School of Medicine, UC San Diego, La Jolla, CA, USA
- Ludwig Institute for Cancer Research, La Jolla, CA, USA
| | - Christopher K Glass
- Department of Cellular and Molecular Medicine, School of Medicine, UC San Diego, La Jolla, CA, USA.
- Department of Medicine, School of Medicine, UC San Diego, La Jolla, CA, USA.
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139
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Mendiola AS, Yan Z, Dixit K, Johnson JR, Bouhaddou M, Meyer-Franke A, Shin MG, Yong Y, Agrawal A, MacDonald E, Muthukumar G, Pearce C, Arun N, Cabriga B, Meza-Acevedo R, Alzamora MDPS, Zamvil SS, Pico AR, Ryu JK, Krogan NJ, Akassoglou K. Defining blood-induced microglia functions in neurodegeneration through multiomic profiling. Nat Immunol 2023; 24:1173-1187. [PMID: 37291385 PMCID: PMC10307624 DOI: 10.1038/s41590-023-01522-0] [Citation(s) in RCA: 17] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2021] [Accepted: 04/24/2023] [Indexed: 06/10/2023]
Abstract
Blood protein extravasation through a disrupted blood-brain barrier and innate immune activation are hallmarks of neurological diseases and emerging therapeutic targets. However, how blood proteins polarize innate immune cells remains largely unknown. Here, we established an unbiased blood-innate immunity multiomic and genetic loss-of-function pipeline to define the transcriptome and global phosphoproteome of blood-induced innate immune polarization and its role in microglia neurotoxicity. Blood induced widespread microglial transcriptional changes, including changes involving oxidative stress and neurodegenerative genes. Comparative functional multiomics showed that blood proteins induce distinct receptor-mediated transcriptional programs in microglia and macrophages, such as redox, type I interferon and lymphocyte recruitment. Deletion of the blood coagulation factor fibrinogen largely reversed blood-induced microglia neurodegenerative signatures. Genetic elimination of the fibrinogen-binding motif to CD11b in Alzheimer's disease mice reduced microglial lipid metabolism and neurodegenerative signatures that were shared with autoimmune-driven neuroinflammation in multiple sclerosis mice. Our data provide an interactive resource for investigation of the immunology of blood proteins that could support therapeutic targeting of microglia activation by immune and vascular signals.
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Affiliation(s)
- Andrew S Mendiola
- Gladstone Institutes, San Francisco, CA, USA
- Center for Neurovascular Brain Immunology at Gladstone and UCSF, San Francisco, CA, USA
| | - Zhaoqi Yan
- Gladstone Institutes, San Francisco, CA, USA
- Center for Neurovascular Brain Immunology at Gladstone and UCSF, San Francisco, CA, USA
| | - Karuna Dixit
- Gladstone Institutes, San Francisco, CA, USA
- Center for Neurovascular Brain Immunology at Gladstone and UCSF, San Francisco, CA, USA
| | | | - Mehdi Bouhaddou
- Department of Microbiology, Immunology and Molecular Genetics, University of California, Los Angeles, CA, USA
- Quantitative Biosciences Institute, University of California, San Francisco, CA, USA
| | | | | | - Yu Yong
- Gladstone Institutes, San Francisco, CA, USA
- Center for Neurovascular Brain Immunology at Gladstone and UCSF, San Francisco, CA, USA
| | | | - Eilidh MacDonald
- Gladstone Institutes, San Francisco, CA, USA
- Center for Neurovascular Brain Immunology at Gladstone and UCSF, San Francisco, CA, USA
| | | | - Clairice Pearce
- Gladstone Institutes, San Francisco, CA, USA
- Center for Neurovascular Brain Immunology at Gladstone and UCSF, San Francisco, CA, USA
| | - Nikhita Arun
- Gladstone Institutes, San Francisco, CA, USA
- Center for Neurovascular Brain Immunology at Gladstone and UCSF, San Francisco, CA, USA
| | - Belinda Cabriga
- Gladstone Institutes, San Francisco, CA, USA
- Center for Neurovascular Brain Immunology at Gladstone and UCSF, San Francisco, CA, USA
| | - Rosa Meza-Acevedo
- Gladstone Institutes, San Francisco, CA, USA
- Center for Neurovascular Brain Immunology at Gladstone and UCSF, San Francisco, CA, USA
| | - Maria Del Pilar S Alzamora
- Gladstone Institutes, San Francisco, CA, USA
- Center for Neurovascular Brain Immunology at Gladstone and UCSF, San Francisco, CA, USA
| | - Scott S Zamvil
- Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | | | - Jae Kyu Ryu
- Gladstone Institutes, San Francisco, CA, USA
- Center for Neurovascular Brain Immunology at Gladstone and UCSF, San Francisco, CA, USA
- Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | - Nevan J Krogan
- Gladstone Institutes, San Francisco, CA, USA
- Quantitative Biosciences Institute, University of California, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA, USA
| | - Katerina Akassoglou
- Gladstone Institutes, San Francisco, CA, USA.
- Center for Neurovascular Brain Immunology at Gladstone and UCSF, San Francisco, CA, USA.
- Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, CA, USA.
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140
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Bouzid H, Belk JA, Jan M, Qi Y, Sarnowski C, Wirth S, Ma L, Chrostek MR, Ahmad H, Nachun D, Yao W, Beiser A, Bick AG, Bis JC, Fornage M, Longstreth WT, Lopez OL, Natarajan P, Psaty BM, Satizabal CL, Weinstock J, Larson EB, Crane PK, Keene CD, Seshadri S, Satpathy AT, Montine TJ, Jaiswal S. Clonal hematopoiesis is associated with protection from Alzheimer's disease. Nat Med 2023; 29:1662-1670. [PMID: 37322115 PMCID: PMC10353941 DOI: 10.1038/s41591-023-02397-2] [Citation(s) in RCA: 22] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Accepted: 05/12/2023] [Indexed: 06/17/2023]
Abstract
Clonal hematopoiesis of indeterminate potential (CHIP) is a premalignant expansion of mutated hematopoietic stem cells. As CHIP-associated mutations are known to alter the development and function of myeloid cells, we hypothesized that CHIP may also be associated with the risk of Alzheimer's disease (AD), a disease in which brain-resident myeloid cells are thought to have a major role. To perform association tests between CHIP and AD dementia, we analyzed blood DNA sequencing data from 1,362 individuals with AD and 4,368 individuals without AD. Individuals with CHIP had a lower risk of AD dementia (meta-analysis odds ratio (OR) = 0.64, P = 3.8 × 10-5), and Mendelian randomization analyses supported a potential causal association. We observed that the same mutations found in blood were also detected in microglia-enriched fraction of the brain in seven of eight CHIP carriers. Single-nucleus chromatin accessibility profiling of brain-derived nuclei in six CHIP carriers revealed that the mutated cells comprised a large proportion of the microglial pool in the samples examined. While additional studies are required to validate the mechanistic findings, these results suggest that CHIP may have a role in attenuating the risk of AD.
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Affiliation(s)
- Hind Bouzid
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Julia A Belk
- Department of Computer Science, Stanford University, Stanford, CA, USA
| | - Max Jan
- Department of Pathology, Massachusetts General Hospital, Boston, MA, USA
| | - Yanyan Qi
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Chloé Sarnowski
- Department of Epidemiology, Human Genetics and Environmental Sciences, The University of Texas Health Science Center at Houston, School of Public Health, Houston, TX, USA
| | - Sara Wirth
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Lisa Ma
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Matthew R Chrostek
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Herra Ahmad
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
- Department of Cardiology, Charité Universitätsmedizin, Berlin, Germany
| | - Daniel Nachun
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Winnie Yao
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Alexa Beiser
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Alexander G Bick
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Joshua C Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Myriam Fornage
- Brown Foundation Institute of Molecular Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - William T Longstreth
- Departments of Neurology and Epidemiology, University of Washington, Seattle, WA, USA
| | - Oscar L Lopez
- Department of Neurology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Pradeep Natarajan
- Medical and Population Genetics and Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Cardiovascular Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Departments of Medicine, Epidemiology, and Health Systems and Population Health, University of Washington, Seattle, WA, USA
| | - Claudia L Satizabal
- Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, University of Texas Health Science Center, San Antonio, TX, USA
- Department of Population Health Sciences, University of Texas Health Science Center, San Antonio, TX, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
| | - Joshua Weinstock
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Eric B Larson
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - Paul K Crane
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - C Dirk Keene
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA
| | - Sudha Seshadri
- Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, University of Texas Health Science Center, San Antonio, TX, USA
| | - Ansuman T Satpathy
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Thomas J Montine
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Siddhartha Jaiswal
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA.
- Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, CA, USA.
- The Phil & Penny Knight Initiative for Brain Resilience at the Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA.
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141
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Yeo RW, Zhou OY, Zhong BL, Sun ED, Navarro Negredo P, Nair S, Sharmin M, Ruetz TJ, Wilson M, Kundaje A, Dunn AR, Brunet A. Chromatin accessibility dynamics of neurogenic niche cells reveal defects in neural stem cell adhesion and migration during aging. Nat Aging 2023; 3:866-893. [PMID: 37443352 PMCID: PMC10353944 DOI: 10.1038/s43587-023-00449-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Accepted: 06/02/2023] [Indexed: 07/15/2023]
Abstract
The regenerative potential of brain stem cell niches deteriorates during aging. Yet the mechanisms underlying this decline are largely unknown. Here we characterize genome-wide chromatin accessibility of neurogenic niche cells in vivo during aging. Interestingly, chromatin accessibility at adhesion and migration genes decreases with age in quiescent neural stem cells (NSCs) but increases with age in activated (proliferative) NSCs. Quiescent and activated NSCs exhibit opposing adhesion behaviors during aging: quiescent NSCs become less adhesive, whereas activated NSCs become more adhesive. Old activated NSCs also show decreased migration in vitro and diminished mobilization out of the niche for neurogenesis in vivo. Using tension sensors, we find that aging increases force-producing adhesions in activated NSCs. Inhibiting the cytoskeletal-regulating kinase ROCK reduces these adhesions, restores migration in old activated NSCs in vitro, and boosts neurogenesis in vivo. These results have implications for restoring the migratory potential of NSCs and for improving neurogenesis in the aged brain.
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Affiliation(s)
- Robin W Yeo
- Department of Genetics, Stanford University, Stanford, CA, USA
| | - Olivia Y Zhou
- Department of Genetics, Stanford University, Stanford, CA, USA
- Stanford Biophysics Program, Stanford University, Stanford, CA, USA
- Stanford Medical Scientist Training Program, Stanford University, Stanford, CA, USA
| | - Brian L Zhong
- Department of Chemical Engineering, Stanford University, Stanford, CA, USA
| | - Eric D Sun
- Department of Genetics, Stanford University, Stanford, CA, USA
- Biomedical Informatics Graduate Program, Stanford University, Stanford, CA, USA
| | | | - Surag Nair
- Department of Computer Science, Stanford University, Stanford, CA, USA
| | - Mahfuza Sharmin
- Department of Genetics, Stanford University, Stanford, CA, USA
- Department of Computer Science, Stanford University, Stanford, CA, USA
| | - Tyson J Ruetz
- Department of Genetics, Stanford University, Stanford, CA, USA
| | - Mikaela Wilson
- Department of Genetics, Stanford University, Stanford, CA, USA
| | - Anshul Kundaje
- Department of Genetics, Stanford University, Stanford, CA, USA
- Department of Computer Science, Stanford University, Stanford, CA, USA
| | - Alexander R Dunn
- Department of Chemical Engineering, Stanford University, Stanford, CA, USA
| | - Anne Brunet
- Department of Genetics, Stanford University, Stanford, CA, USA.
- Glenn Laboratories for the Biology of Aging, Stanford University, Stanford, CA, USA.
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA.
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142
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Zengel J, Wang YX, Seo JW, Ning K, Hamilton JN, Wu B, Raie M, Holbrook C, Su S, Clements DR, Pillay S, Puschnik AS, Winslow MM, Idoyaga J, Nagamine CM, Sun Y, Mahajan VB, Ferrara KW, Blau HM, Carette JE. Hardwiring tissue-specific AAV transduction in mice through engineered receptor expression. Nat Methods 2023; 20:1070-1081. [PMID: 37291262 PMCID: PMC10333121 DOI: 10.1038/s41592-023-01896-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Accepted: 04/25/2023] [Indexed: 06/10/2023]
Abstract
The development of transgenic mouse models that express genes of interest in specific cell types has transformed our understanding of basic biology and disease. However, generating these models is time- and resource-intensive. Here we describe a model system, SELective Expression and Controlled Transduction In Vivo (SELECTIV), that enables efficient and specific expression of transgenes by coupling adeno-associated virus (AAV) vectors with Cre-inducible overexpression of the multi-serotype AAV receptor, AAVR. We demonstrate that transgenic AAVR overexpression greatly increases the efficiency of transduction of many diverse cell types, including muscle stem cells, which are normally refractory to AAV transduction. Superior specificity is achieved by combining Cre-mediated AAVR overexpression with whole-body knockout of endogenous Aavr, which is demonstrated in heart cardiomyocytes, liver hepatocytes and cholinergic neurons. The enhanced efficacy and exquisite specificity of SELECTIV has broad utility in development of new mouse model systems and expands the use of AAV for gene delivery in vivo.
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Affiliation(s)
- James Zengel
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA
| | - Yu Xin Wang
- Baxter Laboratory for Stem Cell Biology, Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA
- Center for Genetic Disorders and Aging, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA, USA
| | - Jai Woong Seo
- Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA
| | - Ke Ning
- Department of Ophthalmology, Stanford University School of Medicine, Stanford, CA, USA
| | - James N Hamilton
- Baxter Laboratory for Stem Cell Biology, Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA
| | - Bo Wu
- Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA
| | - Marina Raie
- Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA
| | - Colin Holbrook
- Baxter Laboratory for Stem Cell Biology, Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA
| | - Shiqi Su
- Baxter Laboratory for Stem Cell Biology, Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA
| | - Derek R Clements
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA
- Immunology Program, Stanford University School of Medicine, Stanford, CA, USA
| | - Sirika Pillay
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA
| | - Andreas S Puschnik
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA
| | - Monte M Winslow
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Juliana Idoyaga
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA
- Immunology Program, Stanford University School of Medicine, Stanford, CA, USA
| | - Claude M Nagamine
- Department of Comparative Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Yang Sun
- Department of Ophthalmology, Stanford University School of Medicine, Stanford, CA, USA
- Palo Alto Veterans Administration, Palo Alto, CA, USA
| | - Vinit B Mahajan
- Department of Ophthalmology, Stanford University School of Medicine, Stanford, CA, USA
- Palo Alto Veterans Administration, Palo Alto, CA, USA
| | - Katherine W Ferrara
- Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA
| | - Helen M Blau
- Baxter Laboratory for Stem Cell Biology, Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA
| | - Jan E Carette
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA.
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143
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Norris AM, Appu AB, Johnson CD, Zhou LY, McKellar DW, Renault MA, Hammers D, Cosgrove BD, Kopinke D. Hedgehog signaling via its ligand DHH acts as cell fate determinant during skeletal muscle regeneration. Nat Commun 2023; 14:3766. [PMID: 37355632 PMCID: PMC10290686 DOI: 10.1038/s41467-023-39506-1] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Accepted: 06/16/2023] [Indexed: 06/26/2023] Open
Abstract
Successful muscle regeneration relies on the interplay of multiple cell populations. However, the signals required for this coordinated intercellular crosstalk remain largely unknown. Here, we describe how the Hedgehog (Hh) signaling pathway controls the fate of fibro/adipogenic progenitors (FAPs), the cellular origin of intramuscular fat (IMAT) and fibrotic scar tissue. Using conditional mutagenesis and pharmacological Hh modulators in vivo and in vitro, we identify DHH as the key ligand that acts as a potent adipogenic brake by preventing the adipogenic differentiation of FAPs. Hh signaling also impacts muscle regeneration, albeit indirectly through induction of myogenic factors in FAPs. Our results also indicate that ectopic and sustained Hh activation forces FAPs to adopt a fibrogenic fate resulting in widespread fibrosis. In this work, we reveal crucial post-developmental functions of Hh signaling in balancing tissue regeneration and fatty fibrosis. Moreover, they provide the exciting possibility that mis-regulation of the Hh pathway with age and disease could be a major driver of pathological IMAT formation.
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Affiliation(s)
- Alessandra M Norris
- Department of Pharmacology and Therapeutics, Myology Institute, University of Florida, Gainesville, FL, USA
| | - Ambili Bai Appu
- Department of Pharmacology and Therapeutics, Myology Institute, University of Florida, Gainesville, FL, USA
| | - Connor D Johnson
- Department of Pharmacology and Therapeutics, Myology Institute, University of Florida, Gainesville, FL, USA
| | - Lylybell Y Zhou
- Department of Pharmacology and Therapeutics, Myology Institute, University of Florida, Gainesville, FL, USA
| | - David W McKellar
- Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA
| | - Marie-Ange Renault
- Biology of Cardiovascular Diseases, INSERM, University of Bordeaux, Pessac, France
| | - David Hammers
- Department of Pharmacology and Therapeutics, Myology Institute, University of Florida, Gainesville, FL, USA
| | - Benjamin D Cosgrove
- Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA
| | - Daniel Kopinke
- Department of Pharmacology and Therapeutics, Myology Institute, University of Florida, Gainesville, FL, USA.
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144
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Wong DR, Magaki SD, Vinters HV, Yong WH, Monuki ES, Williams CK, Martini AC, DeCarli C, Khacherian C, Graff JP, Dugger BN, Keiser MJ. Learning fast and fine-grained detection of amyloid neuropathologies from coarse-grained expert labels. Commun Biol 2023; 6:668. [PMID: 37355729 PMCID: PMC10290693 DOI: 10.1038/s42003-023-05031-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Accepted: 06/08/2023] [Indexed: 06/26/2023] Open
Abstract
Precise, scalable, and quantitative evaluation of whole slide images is crucial in neuropathology. We release a deep learning model for rapid object detection and precise information on the identification, locality, and counts of cored plaques and cerebral amyloid angiopathy (CAA). We trained this object detector using a repurposed image-tile dataset without any human-drawn bounding boxes. We evaluated the detector on a new manually-annotated dataset of whole slide images (WSIs) from three institutions, four staining procedures, and four human experts. The detector matched the cohort of neuropathology experts, achieving 0.64 (model) vs. 0.64 (cohort) average precision (AP) for cored plaques and 0.75 vs. 0.51 AP for CAAs at a 0.5 IOU threshold. It provided count and locality predictions that approximately correlated with gold-standard human CERAD-like WSI scoring (p = 0.07 ± 0.10). The openly-available model can quickly score WSIs in minutes without a GPU on a standard workstation.
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Affiliation(s)
- Daniel R Wong
- Institute for Neurodegenerative Diseases, University of California, San Francisco, San Francisco, CA, 94158, USA
- Bakar Computational Health Sciences Institute, University of California, San Francisco, CA, 94158, USA
- Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA, 94158, USA
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, 94158, USA
- Kavli Institute for Fundamental Neuroscience, University of California, San Francisco, San Francisco, CA, 94158, USA
| | - Shino D Magaki
- Department of Pathology and Laboratory Medicine, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Harry V Vinters
- Department of Pathology and Laboratory Medicine, University of California, Los Angeles, Los Angeles, CA, 90095, USA
- Department of Neurology, David Geffen School of Medicine at University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - William H Yong
- Department of Pathology & Laboratory Medicine, University of California, Irvine, CA, 92697, USA
| | - Edwin S Monuki
- Department of Pathology & Laboratory Medicine, University of California, Irvine, CA, 92697, USA
| | - Christopher K Williams
- Department of Pathology and Laboratory Medicine, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Alessandra C Martini
- Department of Pathology & Laboratory Medicine, University of California, Irvine, CA, 92697, USA
| | - Charles DeCarli
- Department of Neurology, School of Medicine, University of California-Davis, Davis, CA, 95817, USA
| | - Chris Khacherian
- Department of Pathology & Laboratory Medicine, University of California, Irvine, CA, 92697, USA
| | - John P Graff
- Department of Pathology and Laboratory Medicine, School of Medicine, University of California, Davis, Sacramento, CA, 95817, USA
| | - Brittany N Dugger
- Department of Pathology and Laboratory Medicine, School of Medicine, University of California, Davis, Sacramento, CA, 95817, USA.
| | - Michael J Keiser
- Institute for Neurodegenerative Diseases, University of California, San Francisco, San Francisco, CA, 94158, USA.
- Bakar Computational Health Sciences Institute, University of California, San Francisco, CA, 94158, USA.
- Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA, 94158, USA.
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, 94158, USA.
- Kavli Institute for Fundamental Neuroscience, University of California, San Francisco, San Francisco, CA, 94158, USA.
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145
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Daneshvar DH, Nair ES, Baucom ZH, Rasch A, Abdolmohammadi B, Uretsky M, Saltiel N, Shah A, Jarnagin J, Baugh CM, Martin BM, Palmisano JN, Cherry JD, Alvarez VE, Huber BR, Weuve J, Nowinski CJ, Cantu RC, Zafonte RD, Dwyer B, Crary JF, Goldstein LE, Kowall NW, Katz DI, Stern RA, Tripodis Y, Stein TD, McClean MD, Alosco ML, McKee AC, Mez J. Leveraging football accelerometer data to quantify associations between repetitive head impacts and chronic traumatic encephalopathy in males. Nat Commun 2023; 14:3470. [PMID: 37340004 PMCID: PMC10281995 DOI: 10.1038/s41467-023-39183-0] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Accepted: 05/30/2023] [Indexed: 06/22/2023] Open
Abstract
Chronic traumatic encephalopathy (CTE) is a neurodegenerative tauopathy associated with repetitive head impacts (RHI), but the components of RHI exposure underlying this relationship are unclear. We create a position exposure matrix (PEM), composed of American football helmet sensor data, summarized from literature review by player position and level of play. Using this PEM, we estimate measures of lifetime RHI exposure for a separate cohort of 631 football playing brain donors. Separate models examine the relationship between CTE pathology and players' concussion count, athletic positions, years of football, and PEM-derived measures, including estimated cumulative head impacts, linear accelerations, and rotational accelerations. Only duration of play and PEM-derived measures are significantly associated with CTE pathology. Models incorporating cumulative linear or rotational acceleration have better model fit and are better predictors of CTE pathology than duration of play or cumulative head impacts alone. These findings implicate cumulative head impact intensity in CTE pathogenesis.
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Affiliation(s)
- Daniel H Daneshvar
- Department of Physical Medicine and Rehabilitation, Harvard Medical School, Boston, MA, USA.
- Department of Physical Medicine and Rehabilitation, Massachusetts General Hospital, Boston, MA, USA.
- Department of Physical Medicine and Rehabilitation, Mass General Brigham-Spaulding Rehabilitation, Charlestown, MA, USA.
| | - Evan S Nair
- Boston University Alzheimer's Disease Research and CTE Centers, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Zachary H Baucom
- Boston University Alzheimer's Disease Research and CTE Centers, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Abigail Rasch
- Boston University Alzheimer's Disease Research and CTE Centers, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Bobak Abdolmohammadi
- Boston University Alzheimer's Disease Research and CTE Centers, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Madeline Uretsky
- Boston University Alzheimer's Disease Research and CTE Centers, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Nicole Saltiel
- Boston University Alzheimer's Disease Research and CTE Centers, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Arsal Shah
- Boston University Alzheimer's Disease Research and CTE Centers, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Johnny Jarnagin
- Department of Physical Medicine and Rehabilitation, Harvard Medical School, Boston, MA, USA
| | - Christine M Baugh
- Center for Bioethics and Humanities, University of Colorado Denver Anschutz Medical Campus, Aurora, CO, USA
- Division of General Internal Medicine, University of Colorado School of Medicine, Aurora, CO, USA
| | - Brett M Martin
- Boston University Alzheimer's Disease Research and CTE Centers, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Joseph N Palmisano
- Boston University Alzheimer's Disease Research and CTE Centers, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Jonathan D Cherry
- Boston University Alzheimer's Disease Research and CTE Centers, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- VA Boston Healthcare System, U.S. Department of Veteran Affairs, Boston, MA, USA
- Department of Veterans Affairs Medical Center, Bedford, MA, USA
- Department of Pathology and Laboratory Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Victor E Alvarez
- Boston University Alzheimer's Disease Research and CTE Centers, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Department of Veterans Affairs Medical Center, Bedford, MA, USA
| | - Bertrand R Huber
- Boston University Alzheimer's Disease Research and CTE Centers, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- VA Boston Healthcare System, U.S. Department of Veteran Affairs, Boston, MA, USA
- Department of Veterans Affairs Medical Center, Bedford, MA, USA
- Department of Pathology and Laboratory Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Jennifer Weuve
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - Christopher J Nowinski
- Boston University Alzheimer's Disease Research and CTE Centers, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Concussion Legacy Foundation, Boston, MA, USA
| | - Robert C Cantu
- Boston University Alzheimer's Disease Research and CTE Centers, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Concussion Legacy Foundation, Boston, MA, USA
- Department of Neurosurgery, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Department of Neurosurgery, Emerson Hospital, Concord, MA, USA
| | - Ross D Zafonte
- Department of Physical Medicine and Rehabilitation, Harvard Medical School, Boston, MA, USA
- Department of Physical Medicine and Rehabilitation, Massachusetts General Hospital, Boston, MA, USA
- Department of Physical Medicine and Rehabilitation, Mass General Brigham-Spaulding Rehabilitation, Charlestown, MA, USA
- Department of Physical Medicine and Rehabilitation, Brigham and Women's Hospital, Boston, MA, USA
| | - Brigid Dwyer
- Boston University Alzheimer's Disease Research and CTE Centers, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - John F Crary
- Neuropathology Brain Bank & Research Core, Department of Pathology, Nash Family Department of Neuroscience, Ronald M. Loeb Center for Alzheimer's Disease, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Lee E Goldstein
- Boston University Alzheimer's Disease Research and CTE Centers, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Neil W Kowall
- Boston University Alzheimer's Disease Research and CTE Centers, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Douglas I Katz
- Boston University Alzheimer's Disease Research and CTE Centers, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Robert A Stern
- Boston University Alzheimer's Disease Research and CTE Centers, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Department of Neurosurgery, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Department of Anatomy & Neurobiology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Yorghos Tripodis
- Boston University Alzheimer's Disease Research and CTE Centers, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Thor D Stein
- Boston University Alzheimer's Disease Research and CTE Centers, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- VA Boston Healthcare System, U.S. Department of Veteran Affairs, Boston, MA, USA
- Department of Veterans Affairs Medical Center, Bedford, MA, USA
- Department of Pathology and Laboratory Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Michael D McClean
- Boston University Alzheimer's Disease Research and CTE Centers, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Michael L Alosco
- Boston University Alzheimer's Disease Research and CTE Centers, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Ann C McKee
- Boston University Alzheimer's Disease Research and CTE Centers, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- VA Boston Healthcare System, U.S. Department of Veteran Affairs, Boston, MA, USA
- Department of Veterans Affairs Medical Center, Bedford, MA, USA
- Department of Pathology and Laboratory Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Jesse Mez
- Boston University Alzheimer's Disease Research and CTE Centers, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Framingham Heart Study, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
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146
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Warren A, Porter RM, Reyes-Castro O, Ali MM, Marques-Carvalho A, Kim HN, Gatrell LB, Schipani E, Nookaew I, O'Brien CA, Morello R, Almeida M. The NAD salvage pathway in mesenchymal cells is indispensable for skeletal development in mice. Nat Commun 2023; 14:3616. [PMID: 37330524 PMCID: PMC10276814 DOI: 10.1038/s41467-023-39392-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Accepted: 06/09/2023] [Indexed: 06/19/2023] Open
Abstract
NAD is an essential co-factor for cellular energy metabolism and multiple other processes. Systemic NAD+ deficiency has been implicated in skeletal deformities during development in both humans and mice. NAD levels are maintained by multiple synthetic pathways but which ones are important in bone forming cells is unknown. Here, we generate mice with deletion of Nicotinamide Phosphoribosyltransferase (Nampt), a critical enzyme in the NAD salvage pathway, in all mesenchymal lineage cells of the limbs. At birth, NamptΔPrx1 exhibit dramatic limb shortening due to death of growth plate chondrocytes. Administration of the NAD precursor nicotinamide riboside during pregnancy prevents the majority of in utero defects. Depletion of NAD post-birth also promotes chondrocyte death, preventing further endochondral ossification and joint development. In contrast, osteoblast formation still occurs in knockout mice, in line with distinctly different microenvironments and reliance on redox reactions between chondrocytes and osteoblasts. These findings define a critical role for cell-autonomous NAD homeostasis during endochondral bone formation.
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Affiliation(s)
- Aaron Warren
- Division of Endocrinology and Metabolism, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Ryan M Porter
- Division of Endocrinology and Metabolism, University of Arkansas for Medical Sciences, Little Rock, AR, USA
- Center for Musculoskeletal Disease Research, University of Arkansas for Medical Sciences, Little Rock, AR, USA
- Department of Orthopedic Surgery, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Olivia Reyes-Castro
- Division of Endocrinology and Metabolism, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Md Mohsin Ali
- Division of Endocrinology and Metabolism, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Adriana Marques-Carvalho
- CNC-Center for Neuroscience and Cell Biology, University of Coimbra, UC-Biotech, Biocant Park, Cantanhede, Portugal
| | - Ha-Neui Kim
- Division of Endocrinology and Metabolism, University of Arkansas for Medical Sciences, Little Rock, AR, USA
- Center for Musculoskeletal Disease Research, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Landon B Gatrell
- Division of Endocrinology and Metabolism, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Ernestina Schipani
- Department of Orthopaedic Surgery, University of Pennsylvania, Philadelphia, PA, USA
| | - Intawat Nookaew
- Center for Musculoskeletal Disease Research, University of Arkansas for Medical Sciences, Little Rock, AR, USA
- Department of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Charles A O'Brien
- Division of Endocrinology and Metabolism, University of Arkansas for Medical Sciences, Little Rock, AR, USA
- Center for Musculoskeletal Disease Research, University of Arkansas for Medical Sciences, Little Rock, AR, USA
- Department of Orthopedic Surgery, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Roy Morello
- Center for Musculoskeletal Disease Research, University of Arkansas for Medical Sciences, Little Rock, AR, USA
- Department of Orthopedic Surgery, University of Arkansas for Medical Sciences, Little Rock, AR, USA
- Department of Physiology and Cell Biology, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Maria Almeida
- Division of Endocrinology and Metabolism, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
- Center for Musculoskeletal Disease Research, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
- Department of Orthopedic Surgery, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
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147
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Ahuja SK, Manoharan MS, Lee GC, McKinnon LR, Meunier JA, Steri M, Harper N, Fiorillo E, Smith AM, Restrepo MI, Branum AP, Bottomley MJ, Orrù V, Jimenez F, Carrillo A, Pandranki L, Winter CA, Winter LA, Gaitan AA, Moreira AG, Walter EA, Silvestri G, King CL, Zheng YT, Zheng HY, Kimani J, Blake Ball T, Plummer FA, Fowke KR, Harden PN, Wood KJ, Ferris MT, Lund JM, Heise MT, Garrett N, Canady KR, Abdool Karim SS, Little SJ, Gianella S, Smith DM, Letendre S, Richman DD, Cucca F, Trinh H, Sanchez-Reilly S, Hecht JM, Cadena Zuluaga JA, Anzueto A, Pugh JA, Agan BK, Root-Bernstein R, Clark RA, Okulicz JF, He W. Immune resilience despite inflammatory stress promotes longevity and favorable health outcomes including resistance to infection. Nat Commun 2023; 14:3286. [PMID: 37311745 PMCID: PMC10264401 DOI: 10.1038/s41467-023-38238-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Accepted: 04/17/2023] [Indexed: 06/15/2023] Open
Abstract
Some people remain healthier throughout life than others but the underlying reasons are poorly understood. Here we hypothesize this advantage is attributable in part to optimal immune resilience (IR), defined as the capacity to preserve and/or rapidly restore immune functions that promote disease resistance (immunocompetence) and control inflammation in infectious diseases as well as other causes of inflammatory stress. We gauge IR levels with two distinct peripheral blood metrics that quantify the balance between (i) CD8+ and CD4+ T-cell levels and (ii) gene expression signatures tracking longevity-associated immunocompetence and mortality-associated inflammation. Profiles of IR metrics in ~48,500 individuals collectively indicate that some persons resist degradation of IR both during aging and when challenged with varied inflammatory stressors. With this resistance, preservation of optimal IR tracked (i) a lower risk of HIV acquisition, AIDS development, symptomatic influenza infection, and recurrent skin cancer; (ii) survival during COVID-19 and sepsis; and (iii) longevity. IR degradation is potentially reversible by decreasing inflammatory stress. Overall, we show that optimal IR is a trait observed across the age spectrum, more common in females, and aligned with a specific immunocompetence-inflammation balance linked to favorable immunity-dependent health outcomes. IR metrics and mechanisms have utility both as biomarkers for measuring immune health and for improving health outcomes.
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Affiliation(s)
- Sunil K Ahuja
- VA Center for Personalized Medicine, South Texas Veterans Health Care System, San Antonio, TX, 78229, USA.
- Department of Microbiology, Immunology & Molecular Genetics, University of Texas Health Science Center at San Antonio, San Antonio, TX, 78229, USA.
- South Texas Veterans Health Care System, San Antonio, TX, 78229, USA.
- Department of Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX, 78229, USA.
| | - Muthu Saravanan Manoharan
- VA Center for Personalized Medicine, South Texas Veterans Health Care System, San Antonio, TX, 78229, USA
- Department of Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX, 78229, USA
| | - Grace C Lee
- VA Center for Personalized Medicine, South Texas Veterans Health Care System, San Antonio, TX, 78229, USA
- South Texas Veterans Health Care System, San Antonio, TX, 78229, USA
- Pharmacotherapy Education and Research Center, School of Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX, 78229, USA
- College of Pharmacy, The University of Texas at Austin, Austin, TX, 78712, USA
| | - Lyle R McKinnon
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal, Durban, 4001, South Africa
- Department of Medical Microbiology and Infectious Diseases, University of Manitoba, Winnipeg, MB, R3T 2N2, Canada
| | - Justin A Meunier
- VA Center for Personalized Medicine, South Texas Veterans Health Care System, San Antonio, TX, 78229, USA
- The Foundation for Advancing Veterans' Health Research, San Antonio, TX, 78229, USA
| | - Maristella Steri
- Istituto di Ricerca Genetica e Biomedica (IRGB), CNR, Monserrato, 09042, Italy
| | - Nathan Harper
- VA Center for Personalized Medicine, South Texas Veterans Health Care System, San Antonio, TX, 78229, USA
- The Foundation for Advancing Veterans' Health Research, San Antonio, TX, 78229, USA
| | - Edoardo Fiorillo
- Istituto di Ricerca Genetica e Biomedica (IRGB), CNR, Monserrato, 09042, Italy
| | - Alisha M Smith
- VA Center for Personalized Medicine, South Texas Veterans Health Care System, San Antonio, TX, 78229, USA
- Department of Microbiology, Immunology & Molecular Genetics, University of Texas Health Science Center at San Antonio, San Antonio, TX, 78229, USA
- The Foundation for Advancing Veterans' Health Research, San Antonio, TX, 78229, USA
| | - Marcos I Restrepo
- VA Center for Personalized Medicine, South Texas Veterans Health Care System, San Antonio, TX, 78229, USA
- South Texas Veterans Health Care System, San Antonio, TX, 78229, USA
- Department of Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX, 78229, USA
| | - Anne P Branum
- VA Center for Personalized Medicine, South Texas Veterans Health Care System, San Antonio, TX, 78229, USA
- The Foundation for Advancing Veterans' Health Research, San Antonio, TX, 78229, USA
| | - Matthew J Bottomley
- Transplantation Research Immunology Group, Nuffield Department of Surgical Sciences, University of Oxford, Oxford, OX1 2JD, UK
- Oxford Kidney Unit, Churchill Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, OX3 7LE, UK
| | - Valeria Orrù
- Istituto di Ricerca Genetica e Biomedica (IRGB), CNR, Monserrato, 09042, Italy
| | - Fabio Jimenez
- VA Center for Personalized Medicine, South Texas Veterans Health Care System, San Antonio, TX, 78229, USA
- The Foundation for Advancing Veterans' Health Research, San Antonio, TX, 78229, USA
| | - Andrew Carrillo
- VA Center for Personalized Medicine, South Texas Veterans Health Care System, San Antonio, TX, 78229, USA
- The Foundation for Advancing Veterans' Health Research, San Antonio, TX, 78229, USA
| | - Lavanya Pandranki
- VA Center for Personalized Medicine, South Texas Veterans Health Care System, San Antonio, TX, 78229, USA
- Department of Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX, 78229, USA
| | - Caitlyn A Winter
- VA Center for Personalized Medicine, South Texas Veterans Health Care System, San Antonio, TX, 78229, USA
- Department of Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX, 78229, USA
- The Foundation for Advancing Veterans' Health Research, San Antonio, TX, 78229, USA
- Department of Pediatrics, University of Texas Health Science Center at San Antonio, San Antonio, TX, 78229, USA
| | - Lauryn A Winter
- VA Center for Personalized Medicine, South Texas Veterans Health Care System, San Antonio, TX, 78229, USA
- Department of Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX, 78229, USA
- The Foundation for Advancing Veterans' Health Research, San Antonio, TX, 78229, USA
- Department of Pediatrics, University of Texas Health Science Center at San Antonio, San Antonio, TX, 78229, USA
| | - Alvaro A Gaitan
- VA Center for Personalized Medicine, South Texas Veterans Health Care System, San Antonio, TX, 78229, USA
- The Foundation for Advancing Veterans' Health Research, San Antonio, TX, 78229, USA
| | - Alvaro G Moreira
- VA Center for Personalized Medicine, South Texas Veterans Health Care System, San Antonio, TX, 78229, USA
- Department of Pediatrics, University of Texas Health Science Center at San Antonio, San Antonio, TX, 78229, USA
| | - Elizabeth A Walter
- VA Center for Personalized Medicine, South Texas Veterans Health Care System, San Antonio, TX, 78229, USA
- South Texas Veterans Health Care System, San Antonio, TX, 78229, USA
- Department of Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX, 78229, USA
| | - Guido Silvestri
- Department of Pathology, Emory University School of Medicine & Emory National Primate Research Center, Atlanta, GA, 30322, USA
| | - Christopher L King
- Center for Global Health and Diseases, Case Western Reserve University, Cleveland, OH, 44106, USA
| | - Yong-Tang Zheng
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences, KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, 650223, China
- National Resource Center for Non-Human Primates, Center for Biosafety Mega-Science, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, 650107, China
| | - Hong-Yi Zheng
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences, KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, 650223, China
- National Resource Center for Non-Human Primates, Center for Biosafety Mega-Science, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, 650107, China
| | - Joshua Kimani
- Department of Medical Microbiology and Infectious Diseases, University of Manitoba, Winnipeg, MB, R3T 2N2, Canada
| | - T Blake Ball
- Department of Medical Microbiology and Infectious Diseases, University of Manitoba, Winnipeg, MB, R3T 2N2, Canada
| | - Francis A Plummer
- Department of Medical Microbiology and Infectious Diseases, University of Manitoba, Winnipeg, MB, R3T 2N2, Canada
| | - Keith R Fowke
- Department of Medical Microbiology and Infectious Diseases, University of Manitoba, Winnipeg, MB, R3T 2N2, Canada
| | - Paul N Harden
- Oxford Kidney Unit, Churchill Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, OX3 7LE, UK
| | - Kathryn J Wood
- Transplantation Research Immunology Group, Nuffield Department of Surgical Sciences, University of Oxford, Oxford, OX1 2JD, UK
| | - Martin T Ferris
- Department of Genetics, University of North Carolina, Chapel Hill, NC, 27599, USA
| | - Jennifer M Lund
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109, USA
- Department of Global Health, University of Washington, Seattle, WA, 98195, USA
| | - Mark T Heise
- Department of Genetics, University of North Carolina, Chapel Hill, NC, 27599, USA
| | - Nigel Garrett
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal, Durban, 4001, South Africa
| | - Kristen R Canady
- VA Center for Personalized Medicine, South Texas Veterans Health Care System, San Antonio, TX, 78229, USA
| | - Salim S Abdool Karim
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal, Durban, 4001, South Africa
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, 10032, USA
| | - Susan J Little
- Department of Medicine, University of California, La Jolla, CA, 92093, USA
- San Diego Center for AIDS Research, University of California San Diego, La Jolla, CA, 92093, USA
| | - Sara Gianella
- Department of Medicine, University of California, La Jolla, CA, 92093, USA
- San Diego Center for AIDS Research, University of California San Diego, La Jolla, CA, 92093, USA
| | - Davey M Smith
- Department of Medicine, University of California, La Jolla, CA, 92093, USA
- San Diego Center for AIDS Research, University of California San Diego, La Jolla, CA, 92093, USA
- Veterans Affairs San Diego Healthcare System, San Diego, CA, 92161, USA
| | - Scott Letendre
- Department of Medicine, University of California, La Jolla, CA, 92093, USA
| | - Douglas D Richman
- San Diego Center for AIDS Research, University of California San Diego, La Jolla, CA, 92093, USA
| | - Francesco Cucca
- Istituto di Ricerca Genetica e Biomedica (IRGB), CNR, Monserrato, 09042, Italy
- Dipartimento di Scienze Biomediche, Università di Sassari, Sassari, 07100, Italy
| | - Hanh Trinh
- South Texas Veterans Health Care System, San Antonio, TX, 78229, USA
| | - Sandra Sanchez-Reilly
- South Texas Veterans Health Care System, San Antonio, TX, 78229, USA
- Department of Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX, 78229, USA
| | - Joan M Hecht
- South Texas Veterans Health Care System, San Antonio, TX, 78229, USA
- The Foundation for Advancing Veterans' Health Research, San Antonio, TX, 78229, USA
| | - Jose A Cadena Zuluaga
- South Texas Veterans Health Care System, San Antonio, TX, 78229, USA
- Department of Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX, 78229, USA
| | - Antonio Anzueto
- South Texas Veterans Health Care System, San Antonio, TX, 78229, USA
- Department of Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX, 78229, USA
| | - Jacqueline A Pugh
- VA Center for Personalized Medicine, South Texas Veterans Health Care System, San Antonio, TX, 78229, USA
- South Texas Veterans Health Care System, San Antonio, TX, 78229, USA
- Department of Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX, 78229, USA
| | - Brian K Agan
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, MD, 20814, USA
- The Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, 20817, USA
| | | | - Robert A Clark
- VA Center for Personalized Medicine, South Texas Veterans Health Care System, San Antonio, TX, 78229, USA
- Department of Microbiology, Immunology & Molecular Genetics, University of Texas Health Science Center at San Antonio, San Antonio, TX, 78229, USA
- South Texas Veterans Health Care System, San Antonio, TX, 78229, USA
- Department of Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX, 78229, USA
- The Foundation for Advancing Veterans' Health Research, San Antonio, TX, 78229, USA
| | - Jason F Okulicz
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, MD, 20814, USA
- Department of Medicine, Infectious Diseases Service, Brooke Army Medical Center, San Antonio, TX, 78234, USA
| | - Weijing He
- VA Center for Personalized Medicine, South Texas Veterans Health Care System, San Antonio, TX, 78229, USA
- The Foundation for Advancing Veterans' Health Research, San Antonio, TX, 78229, USA
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148
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Khan D, Terenzi F, Liu G, Ghosh PK, Ye F, Nguyen K, China A, Ramachandiran I, Chakraborty S, Stefan J, Khan K, Vasu K, Dong F, Willard B, Karn J, Gack MU, Fox PL. A viral pan-end RNA element and host complex define a SARS-CoV-2 regulon. Nat Commun 2023; 14:3385. [PMID: 37296097 PMCID: PMC10250186 DOI: 10.1038/s41467-023-39091-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2022] [Accepted: 05/25/2023] [Indexed: 06/12/2023] Open
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the causative agent of COVID-19, generates multiple protein-coding, subgenomic RNAs (sgRNAs) from a longer genomic RNA, all bearing identical termini with poorly understood roles in regulating viral gene expression. Insulin and interferon-gamma, two host-derived, stress-related agents, and virus spike protein, induce binding of glutamyl-prolyl-tRNA synthetase (EPRS1), within an unconventional, tetra-aminoacyl-tRNA synthetase complex, to the sgRNA 3'-end thereby enhancing sgRNA expression. We identify an EPRS1-binding sarbecoviral pan-end activating RNA (SPEAR) element in the 3'-end of viral RNAs driving agonist-induction. Translation of another co-terminal 3'-end feature, ORF10, is necessary for SPEAR-mediated induction, independent of Orf10 protein expression. The SPEAR element enhances viral programmed ribosomal frameshifting, thereby expanding its functionality. By co-opting noncanonical activities of a family of essential host proteins, the virus establishes a post-transcriptional regulon stimulating global viral RNA translation. A SPEAR-targeting strategy markedly reduces SARS-CoV-2 titer, suggesting a pan-sarbecoviral therapeutic modality.
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Affiliation(s)
- Debjit Khan
- Department of Cardiovascular and Metabolic Sciences, Lerner Research Institute, Cleveland Clinic Foundation, Cleveland, OH, 44195, USA
| | - Fulvia Terenzi
- Department of Cardiovascular and Metabolic Sciences, Lerner Research Institute, Cleveland Clinic Foundation, Cleveland, OH, 44195, USA
| | - GuanQun Liu
- Florida Research and Innovation Center, Cleveland Clinic Foundation, Port St. Lucie, FL, 34987, USA
| | - Prabar K Ghosh
- Department of Cardiovascular and Metabolic Sciences, Lerner Research Institute, Cleveland Clinic Foundation, Cleveland, OH, 44195, USA
| | - Fengchun Ye
- Department of Molecular Biology and Microbiology, School of Medicine, Case Western Reserve University, Cleveland, OH, 44106, USA
| | - Kien Nguyen
- Department of Molecular Biology and Microbiology, School of Medicine, Case Western Reserve University, Cleveland, OH, 44106, USA
| | - Arnab China
- Department of Cardiovascular and Metabolic Sciences, Lerner Research Institute, Cleveland Clinic Foundation, Cleveland, OH, 44195, USA
| | - Iyappan Ramachandiran
- Department of Cardiovascular and Metabolic Sciences, Lerner Research Institute, Cleveland Clinic Foundation, Cleveland, OH, 44195, USA
| | - Shruti Chakraborty
- Department of Cardiovascular and Metabolic Sciences, Lerner Research Institute, Cleveland Clinic Foundation, Cleveland, OH, 44195, USA
| | - Jennifer Stefan
- Department of Cardiovascular and Metabolic Sciences, Lerner Research Institute, Cleveland Clinic Foundation, Cleveland, OH, 44195, USA
| | - Krishnendu Khan
- Department of Cardiovascular and Metabolic Sciences, Lerner Research Institute, Cleveland Clinic Foundation, Cleveland, OH, 44195, USA
| | - Kommireddy Vasu
- Department of Cardiovascular and Metabolic Sciences, Lerner Research Institute, Cleveland Clinic Foundation, Cleveland, OH, 44195, USA
| | - Franklin Dong
- Department of Cardiovascular and Metabolic Sciences, Lerner Research Institute, Cleveland Clinic Foundation, Cleveland, OH, 44195, USA
| | - Belinda Willard
- Lerner Research Institute Proteomics and Metabolomics Core, Cleveland Clinic Foundation, Cleveland, OH, 44195, USA
| | - Jonathan Karn
- Department of Molecular Biology and Microbiology, School of Medicine, Case Western Reserve University, Cleveland, OH, 44106, USA
| | - Michaela U Gack
- Florida Research and Innovation Center, Cleveland Clinic Foundation, Port St. Lucie, FL, 34987, USA
| | - Paul L Fox
- Department of Cardiovascular and Metabolic Sciences, Lerner Research Institute, Cleveland Clinic Foundation, Cleveland, OH, 44195, USA.
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149
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Nannini DR, Zheng Y, Joyce BT, Kim K, Gao T, Wang J, Jacobs DR, Schreiner PJ, Yaffe K, Greenland P, Lloyd-Jones DM, Hou L. Genome-wide DNA methylation association study of recent and cumulative marijuana use in middle aged adults. Mol Psychiatry 2023; 28:2572-2582. [PMID: 37258616 PMCID: PMC10611566 DOI: 10.1038/s41380-023-02106-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Revised: 04/24/2023] [Accepted: 05/03/2023] [Indexed: 06/02/2023]
Abstract
Marijuana is a widely used psychoactive substance in the US and medical and recreational legalization has risen over the past decade. Despite the growing number of individuals using marijuana, studies investigating the association between epigenetic factors and recent and cumulative marijuana use remain limited. We therefore investigated the association between recent and cumulative marijuana use and DNA methylation levels. Participants from the Coronary Artery Risk Development in Young Adults Study with whole blood collected at examination years (Y) 15 and Y20 were randomly selected to undergo DNA methylation profiling at both timepoints using the Illumina MethylationEPIC BeadChip. Recent use of marijuana was queried at each examination and used to estimate cumulative marijuana use from Y0 to Y15 and Y20. At Y15 (n = 1023), we observed 22 and 31 methylation markers associated (FDR P ≤ 0.05) with recent and cumulative marijuana use and 132 and 16 methylation markers at Y20 (n = 883), respectively. We replicated 8 previously reported methylation markers associated with marijuana use. We further identified 640 cis-meQTLs and 198 DMRs associated with recent and cumulative use at Y15 and Y20. Differentially methylated genes were statistically overrepresented in pathways relating to cellular proliferation, hormone signaling, and infections as well as schizophrenia, bipolar disorder, and substance-related disorders. We identified numerous methylation markers, pathways, and diseases associated with recent and cumulative marijuana use in middle-aged adults, providing additional insight into the association between marijuana use and the epigenome. These results provide novel insights into the role marijuana has on the epigenome and related health conditions.
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Affiliation(s)
- Drew R Nannini
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
| | - Yinan Zheng
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Brian T Joyce
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Kyeezu Kim
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Tao Gao
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Jun Wang
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - David R Jacobs
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Pamela J Schreiner
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Kristine Yaffe
- University of California at San Francisco School of Medicine, San Francisco, CA, USA
| | - Philip Greenland
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Donald M Lloyd-Jones
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Lifang Hou
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
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150
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Van Egroo M, Riphagen JM, Ashton NJ, Janelidze S, Sperling RA, Johnson KA, Yang HS, Bennett DA, Blennow K, Hansson O, Zetterberg H, Jacobs HIL. Ultra-high field imaging, plasma markers and autopsy data uncover a specific rostral locus coeruleus vulnerability to hyperphosphorylated tau. Mol Psychiatry 2023; 28:2412-2422. [PMID: 37020050 PMCID: PMC10073793 DOI: 10.1038/s41380-023-02041-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Revised: 03/15/2023] [Accepted: 03/17/2023] [Indexed: 04/07/2023]
Abstract
Autopsy data indicate that the locus coeruleus (LC) is one of the first sites in the brain to accumulate hyperphosphorylated tau pathology, with the rostral part possibly being more vulnerable in the earlier stages of the disease. Taking advantage of recent developments in ultra-high field (7 T) imaging, we investigated whether imaging measures of the LC also reveal a specific anatomic correlation with tau using novel plasma biomarkers of different species of hyperphosphorylated tau, how early in adulthood these associations can be detected and if are associated with worse cognitive performance. To validate the anatomic correlations, we tested if a rostro-caudal gradient in tau pathology is also detected at autopsy in data from the Rush Memory and Aging Project (MAP). We found that higher plasma measures of phosphorylated tau, in particular ptau231, correlated negatively with dorso-rostral LC integrity, whereas correlations for neurodegenerative plasma markers (neurofilament light, total tau) were scattered throughout the LC including middle to caudal sections. In contrast, the plasma Aβ42/40 ratio, associated with brain amyloidosis, did not correlate with LC integrity. These findings were specific to the rostral LC and not observed when using the entire LC or the hippocampus. Furthermore, in the MAP data, we observed higher rostral than caudal tangle density in the LC, independent of the disease stage. The in vivo LC-phosphorylated tau correlations became significant from midlife, with the earliest effect for ptau231, starting at about age 55. Finally, interactions between lower rostral LC integrity and higher ptau231 concentrations predicted lower cognitive performance. Together, these findings demonstrate a specific rostral vulnerability to early phosphorylated tau species that can be detected with dedicated magnetic resonance imaging measures, highlighting the promise of LC imaging as an early marker of AD-related processes.
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Grants
- R01 AG017917 NIA NIH HHS
- R01 AG068398 NIA NIH HHS
- R21 AG074220 NIA NIH HHS
- K23 AG062750 NIA NIH HHS
- R01 AG068062 NIA NIH HHS
- K01 AG001016 NIA NIH HHS
- ZEN-21-848495 Alzheimer's Association
- P01 AG036694 NIA NIH HHS
- R01 AG062559 NIA NIH HHS
- R01 AG015819 NIA NIH HHS
- U.S. Department of Health & Human Services | NIH | National Institute on Aging (U.S. National Institute on Aging)
- Alzheimer Nederland WE.03-2019-02
- BrightFocus Foundation (BrightFocus)
- Alzheimer’s Association
- Alzheimer’s Drug Discovery Foundation (ADDF)
- Swedish Research Council (#2017-00915), the Alzheimer Drug Discovery Foundation (ADDF), USA (#RDAPB-201809-2016615), the Swedish Alzheimer Foundation (#AF-930351, #AF-939721 and #AF-968270), Hjärnfonden, Sweden (#FO2017-0243 and #ALZ2022-0006), the Swedish state under the agreement between the Swedish government and the County Councils, the ALF-agreement (#ALFGBG-715986 and #ALFGBG-965240), the European Union Joint Program for Neurodegenerative Disorders (JPND2019-466-236)
- Cure Alzheimer’s Fund (Alzheimer’s Disease Research Foundation)
- Swedish Research Council (2016-00906), the Knut and Alice Wallenberg foundation (2017-0383), the Marianne and Marcus Wallenberg foundation (2015.0125), the Strategic Research Area MultiPark (Multidisciplinary Research in Parkinson’s disease) at Lund University, the Swedish Alzheimer Foundation (AF-939932), the Swedish Brain Foundation (FO2021-0293), The Parkinson foundation of Sweden (1280/20), the Cure Alzheimer’s fund, the Konung Gustaf V:s och Drottning Victorias Frimurarestiftelse, the Skåne University Hospital Foundation (2020-O000028), Regionalt Forskningsstöd (2020-0314) and the Swedish federal government under the ALF agreement (2018-Projekt0279)
- HZ is a Wallenberg Scholar supported by grants from the Swedish Research Council (#2018-02532), the European Research Council (#681712 and #101053962), Swedish State Support for Clinical Research (#ALFGBG-71320), the Alzheimer Drug Discovery Foundation (ADDF), USA (#201809-2016862), the AD Strategic Fund and the Alzheimer’s Association (#ADSF-21-831376-C, #ADSF-21-831381-C, and #ADSF-21-831377-C), the Bluefield Project, the Olav Thon Foundation, the Erling-Persson Family Foundation, Stiftelsen för Gamla Tjänarinnor, Hjärnfonden, Sweden (#FO2022-0270), the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 860197 (MIRIADE), the European Union Joint Programme – Neurodegenerative Disease Research (JPND2021-00694), and the UK Dementia Research Institute at UCL (UKDRI-1003).
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Affiliation(s)
- Maxime Van Egroo
- Faculty of Health, Medicine and Life Sciences, School for Mental Health and Neuroscience, Alzheimer Centre Limburg, Maastricht University, Maastricht, The Netherlands
- Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Joost M Riphagen
- Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Nicholas J Ashton
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Centre for Age-Related Medicine, Stavanger University Hospital, Stavanger, Norway
- King's College London, Institute of Psychiatry, Psychology and Neuroscience, Maurice Wohl Institute Clinical Neuroscience Institute, London, UK
- NIHR Biomedical Research Centre for Mental Health and Biomedical Research Unit for Dementia at South London and Maudsley NHS Foundation, London, UK
| | - Shorena Janelidze
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden
| | - Reisa A Sperling
- Harvard Medical School, Boston, MA, USA
- Center for Alzheimer Research and Treatment, Department of Neurology, Brigham and Women's Hospital, Boston, MA, USA
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Keith A Johnson
- Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Hyun-Sik Yang
- Harvard Medical School, Boston, MA, USA
- Center for Alzheimer Research and Treatment, Department of Neurology, Brigham and Women's Hospital, Boston, MA, USA
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - David A Bennett
- Department of Neurological Sciences, Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, 60612, USA
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Oskar Hansson
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden
- Memory Clinic, Skåne University Hospital, Malmö, Sweden
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, UK
- UK Dementia Research Institute at UCL, London, UK
- Hong Kong Center for Neurodegenerative Diseases, Clear Water Bay, Hong Kong, China
| | - Heidi I L Jacobs
- Faculty of Health, Medicine and Life Sciences, School for Mental Health and Neuroscience, Alzheimer Centre Limburg, Maastricht University, Maastricht, The Netherlands.
- Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, USA.
- Harvard Medical School, Boston, MA, USA.
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