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Zuffa S, Schmid R, Bauermeister A, P Gomes PW, Caraballo-Rodriguez AM, El Abiead Y, Aron AT, Gentry EC, Zemlin J, Meehan MJ, Avalon NE, Cichewicz RH, Buzun E, Terrazas MC, Hsu CY, Oles R, Ayala AV, Zhao J, Chu H, Kuijpers MCM, Jackrel SL, Tugizimana F, Nephali LP, Dubery IA, Madala NE, Moreira EA, Costa-Lotufo LV, Lopes NP, Rezende-Teixeira P, Jimenez PC, Rimal B, Patterson AD, Traxler MF, Pessotti RDC, Alvarado-Villalobos D, Tamayo-Castillo G, Chaverri P, Escudero-Leyva E, Quiros-Guerrero LM, Bory AJ, Joubert J, Rutz A, Wolfender JL, Allard PM, Sichert A, Pontrelli S, Pullman BS, Bandeira N, Gerwick WH, Gindro K, Massana-Codina J, Wagner BC, Forchhammer K, Petras D, Aiosa N, Garg N, Liebeke M, Bourceau P, Kang KB, Gadhavi H, de Carvalho LPS, Silva Dos Santos M, Pérez-Lorente AI, Molina-Santiago C, Romero D, Franke R, Brönstrup M, Vera Ponce de León A, Pope PB, La Rosa SL, La Barbera G, Roager HM, Laursen MF, Hammerle F, Siewert B, Peintner U, Licona-Cassani C, Rodriguez-Orduña L, Rampler E, Hildebrand F, Koellensperger G, Schoeny H, Hohenwallner K, Panzenboeck L, Gregor R, O'Neill EC, Roxborough ET, Odoi J, Bale NJ, Ding S, Sinninghe Damsté JS, Guan XL, Cui JJ, Ju KS, Silva DB, Silva FMR, da Silva GF, Koolen HHF, Grundmann C, Clement JA, Mohimani H, Broders K, McPhail KL, Ober-Singleton SE, Rath CM, McDonald D, Knight R, Wang M, Dorrestein PC. microbeMASST: a taxonomically informed mass spectrometry search tool for microbial metabolomics data. Nat Microbiol 2024; 9:336-345. [PMID: 38316926 PMCID: PMC10847041 DOI: 10.1038/s41564-023-01575-9] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Accepted: 11/29/2023] [Indexed: 02/07/2024]
Abstract
microbeMASST, a taxonomically informed mass spectrometry (MS) search tool, tackles limited microbial metabolite annotation in untargeted metabolomics experiments. Leveraging a curated database of >60,000 microbial monocultures, users can search known and unknown MS/MS spectra and link them to their respective microbial producers via MS/MS fragmentation patterns. Identification of microbe-derived metabolites and relative producers without a priori knowledge will vastly enhance the understanding of microorganisms' role in ecology and human health.
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Affiliation(s)
- Simone Zuffa
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, San Diego, CA, USA
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, San Diego, CA, USA
| | - Robin Schmid
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, San Diego, CA, USA
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, San Diego, CA, USA
| | - Anelize Bauermeister
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, San Diego, CA, USA
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, San Diego, CA, USA
- Department of Pharmacology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil
| | - Paulo Wender P Gomes
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, San Diego, CA, USA
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, San Diego, CA, USA
| | - Andres M Caraballo-Rodriguez
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, San Diego, CA, USA
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, San Diego, CA, USA
| | - Yasin El Abiead
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, San Diego, CA, USA
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, San Diego, CA, USA
| | - Allegra T Aron
- Department of Chemistry and Biochemistry, University of Denver, Denver, CO, USA
| | - Emily C Gentry
- Department of Chemistry, Virginia Tech, Blacksburg, VA, USA
| | - Jasmine Zemlin
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, San Diego, CA, USA
- Center for Microbiome Innovation, University of California San Diego, San Diego, CA, USA
| | - Michael J Meehan
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, San Diego, CA, USA
| | - Nicole E Avalon
- Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA, USA
| | - Robert H Cichewicz
- Department of Chemistry and Biochemistry, College of Arts and Sciences, University of Oklahoma, Norman, OK, USA
| | - Ekaterina Buzun
- Department of Pathology, School of Medicine, University of California San Diego, San Diego, CA, USA
| | - Marvic Carrillo Terrazas
- Department of Pathology, School of Medicine, University of California San Diego, San Diego, CA, USA
| | - Chia-Yun Hsu
- Department of Pathology, School of Medicine, University of California San Diego, San Diego, CA, USA
| | - Renee Oles
- Department of Pathology, School of Medicine, University of California San Diego, San Diego, CA, USA
| | - Adriana Vasquez Ayala
- Department of Pathology, School of Medicine, University of California San Diego, San Diego, CA, USA
| | - Jiaqi Zhao
- Department of Pathology, School of Medicine, University of California San Diego, San Diego, CA, USA
| | - Hiutung Chu
- Department of Pathology, School of Medicine, University of California San Diego, San Diego, CA, USA
- Center for Mucosal Immunology, Allergy, and Vaccines (cMAV), Chiba University-University of California San Diego, San Diego, CA, USA
| | - Mirte C M Kuijpers
- Department of Ecology, Behavior and Evolution, School of Biological Sciences, University of California San Diego, San Diego, CA, USA
| | - Sara L Jackrel
- Department of Ecology, Behavior and Evolution, School of Biological Sciences, University of California San Diego, San Diego, CA, USA
| | - Fidele Tugizimana
- Department of Biochemistry, Faculty of Science, University of Johannesburg, Johannesburg, South Africa
- International Research and Development, Omnia Nutriology, Omnia Group (Pty) Ltd, Johannesburg, South Africa
| | - Lerato Pertunia Nephali
- Department of Biochemistry, Faculty of Science, University of Johannesburg, Johannesburg, South Africa
| | - Ian A Dubery
- Department of Biochemistry, Faculty of Science, University of Johannesburg, Johannesburg, South Africa
| | - Ntakadzeni Edwin Madala
- Department of Biochemistry and Microbiology, Faculty of Sciences, Agriculture and Engineering, University of Venda, Thohoyandou, South Africa
| | - Eduarda Antunes Moreira
- Department of BioMolecular Sciences, School of Pharmaceutical Sciences of Ribeirão Preto, University of São Paulo, Ribeirão Preto, São Paulo, Brazil
| | - Leticia Veras Costa-Lotufo
- Department of Pharmacology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil
| | - Norberto Peporine Lopes
- Department of BioMolecular Sciences, School of Pharmaceutical Sciences of Ribeirão Preto, University of São Paulo, Ribeirão Preto, São Paulo, Brazil
| | - Paula Rezende-Teixeira
- Department of Pharmacology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil
| | - Paula C Jimenez
- Department of Marine Science, Institute of Marine Science, Federal University of São Paulo, Santos, Brazil
| | - Bipin Rimal
- Department of Veterinary and Biomedical Sciences, Pennsylvania State University, University Park, PA, USA
| | - Andrew D Patterson
- Department of Veterinary and Biomedical Sciences, Pennsylvania State University, University Park, PA, USA
| | - Matthew F Traxler
- Plant and Microbial Biology, College of Natural Resources, University of California Berkeley, Berkeley, CA, USA
| | - Rita de Cassia Pessotti
- Plant and Microbial Biology, College of Natural Resources, University of California Berkeley, Berkeley, CA, USA
| | - Daniel Alvarado-Villalobos
- Metabolomics and Chemical Profiling, Centro de Investigaciones en Productos Naturales (CIPRONA), Universidad de Costa Rica, San José, Costa Rica
| | - Giselle Tamayo-Castillo
- Metabolomics and Chemical Profiling, Centro de Investigaciones en Productos Naturales (CIPRONA), Universidad de Costa Rica, San José, Costa Rica
- Escuela de Química, Universidad de Costa Rica, San José, Costa Rica
| | - Priscila Chaverri
- Microbial Biotechnology, Centro de Investigaciones en Productos Naturales (CIPRONA) and Escuela de Biología, Universidad de Costa Rica, San José, Costa Rica
- Escuela de Biología, Universidad de Costa Rica, San José, Costa Rica
- Department of Natural Sciences, Bowie State University, Bowie, MD, USA
| | - Efrain Escudero-Leyva
- Microbial Biotechnology, Centro de Investigaciones en Productos Naturales (CIPRONA), Universidad de Costa Rica, San José, Costa Rica
| | - Luis-Manuel Quiros-Guerrero
- School of Pharmaceutical Sciences, University of Geneva, Geneva, Switzerland
- Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, Geneva, Switzerland
| | - Alexandre Jean Bory
- School of Pharmaceutical Sciences, University of Geneva, Geneva, Switzerland
- Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, Geneva, Switzerland
| | - Juliette Joubert
- School of Pharmaceutical Sciences, University of Geneva, Geneva, Switzerland
- Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, Geneva, Switzerland
| | - Adriano Rutz
- School of Pharmaceutical Sciences, University of Geneva, Geneva, Switzerland
- Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, Geneva, Switzerland
- Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland
| | - Jean-Luc Wolfender
- School of Pharmaceutical Sciences, University of Geneva, Geneva, Switzerland
- Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, Geneva, Switzerland
| | - Pierre-Marie Allard
- School of Pharmaceutical Sciences, University of Geneva, Geneva, Switzerland
- Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, Geneva, Switzerland
- Department of Biology, University of Fribourg, Fribourg, Switzerland
| | - Andreas Sichert
- Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland
| | - Sammy Pontrelli
- Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland
| | - Benjamin S Pullman
- Department of Computer Science and Engineering, University of California San Diego, San Diego, CA, USA
| | - Nuno Bandeira
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, San Diego, CA, USA
- Department of Computer Science and Engineering, University of California San Diego, San Diego, CA, USA
| | - William H Gerwick
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, San Diego, CA, USA
- Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA, USA
| | - Katia Gindro
- Plant Protection, Mycology group, Agroscope, Nyon, Switzerland
| | | | - Berenike C Wagner
- Department of Microbiology and Organismic Interactions, Interfaculty Institute of Microbiology and Infection Medicine, University of Tuebingen, Tuebingen, Germany
| | - Karl Forchhammer
- Department of Microbiology and Organismic Interactions, Interfaculty Institute of Microbiology and Infection Medicine, University of Tuebingen, Tuebingen, Germany
| | - Daniel Petras
- Cluster of Excellence 'Controlling Microbes to Fight Infections' (CMFI), University of Tuebingen, Tuebingen, Germany
| | - Nicole Aiosa
- School of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, GA, USA
| | - Neha Garg
- School of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, GA, USA
- Center for Microbial Dynamics and Infection, Georgia Institute of Technology, Atlanta, GA, USA
| | - Manuel Liebeke
- Department of Symbiosis, Metabolic Interactions, Max Planck Institute for Marine Microbiology, Bremen, Germany
- Department for Metabolomics, Kiel University, Kiel, Germany
| | - Patric Bourceau
- Department of Symbiosis, Metabolic Interactions, Max Planck Institute for Marine Microbiology, Bremen, Germany
| | - Kyo Bin Kang
- Research Institute of Pharmaceutical Sciences, College of Pharmacy, Sookmyung Women's University, Seoul, Korea
| | - Henna Gadhavi
- Mycobacterial Metabolism and Antibiotic Research Laboratory, The Francis Crick Institute, London, UK
- King's College London, London, UK
| | - Luiz Pedro Sorio de Carvalho
- Mycobacterial Metabolism and Antibiotic Research Laboratory, The Francis Crick Institute, London, UK
- Chemistry Department, The Herbert Wertheim UF Scripps Institute for Biomedical Innovation and Technology, Jupiter, FL, USA
| | | | - Alicia Isabel Pérez-Lorente
- Department of Microbiology, Instituto de Hortofruticultura Subtropical y Mediterránea 'La Mayora', Universidad de Málaga-Consejo Superior de Investigaciones Científicas (IHSM-UMA-CSIC), Bulevar Louis Pasteur (Campus Universitario de Teatinos), Malaga, Spain
| | - Carlos Molina-Santiago
- Department of Microbiology, Instituto de Hortofruticultura Subtropical y Mediterránea 'La Mayora', Universidad de Málaga-Consejo Superior de Investigaciones Científicas (IHSM-UMA-CSIC), Bulevar Louis Pasteur (Campus Universitario de Teatinos), Malaga, Spain
| | - Diego Romero
- Department of Microbiology, Instituto de Hortofruticultura Subtropical y Mediterránea 'La Mayora', Universidad de Málaga-Consejo Superior de Investigaciones Científicas (IHSM-UMA-CSIC), Bulevar Louis Pasteur (Campus Universitario de Teatinos), Malaga, Spain
| | - Raimo Franke
- Department of Chemical Biology, Helmholtz Centre for Infection Research, Braunschweig, Germany
| | - Mark Brönstrup
- Department of Chemical Biology, Helmholtz Centre for Infection Research, Braunschweig, Germany
- German Center for Infection Research (DZIF), Site Hannover-Braunschweig, Braunschweig, Germany
| | - Arturo Vera Ponce de León
- Faculty of Chemistry, Biotechnology and Food Science, Norwegian University of Life Sciences, Ås, Norway
| | - Phillip Byron Pope
- Faculty of Chemistry, Biotechnology and Food Science, Norwegian University of Life Sciences, Ås, Norway
- Faculty of Biosciences, Norwegian University of Life Sciences, Ås, Norway
| | - Sabina Leanti La Rosa
- Faculty of Chemistry, Biotechnology and Food Science, Norwegian University of Life Sciences, Ås, Norway
- Faculty of Biosciences, Norwegian University of Life Sciences, Ås, Norway
| | - Giorgia La Barbera
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Frederiksberg, Denmark
| | - Henrik M Roager
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Frederiksberg, Denmark
| | | | - Fabian Hammerle
- Department of Pharmacognosy, Institute of Pharmacy, University of Innsbruck, Innsbruck, Austria
| | - Bianka Siewert
- Department of Pharmacognosy, Institute of Pharmacy, University of Innsbruck, Innsbruck, Austria
| | - Ursula Peintner
- Department of Microbiology, University of Innsbruck, Innsbruck, Austria
| | - Cuauhtemoc Licona-Cassani
- Escuela de Ingeniería y Ciencias, Centro de Biotecnología FEMSA, Tecnologico de Monterrey, Monterrey, Mexico
| | - Lorena Rodriguez-Orduña
- Escuela de Ingeniería y Ciencias, Centro de Biotecnología FEMSA, Tecnologico de Monterrey, Monterrey, Mexico
| | - Evelyn Rampler
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Vienna, Austria
| | - Felina Hildebrand
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Vienna, Austria
- Vienna Doctoral School in Chemistry (DoSChem), Faculty of Chemistry, University of Vienna, Vienna, Austria
| | - Gunda Koellensperger
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Vienna, Austria
- Vienna Metabolomics Center (VIME), University of Vienna, Vienna, Austria
| | - Harald Schoeny
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Vienna, Austria
| | - Katharina Hohenwallner
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Vienna, Austria
- Vienna Doctoral School in Chemistry (DoSChem), Faculty of Chemistry, University of Vienna, Vienna, Austria
| | - Lisa Panzenboeck
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Vienna, Austria
- Vienna Doctoral School in Chemistry (DoSChem), Faculty of Chemistry, University of Vienna, Vienna, Austria
| | - Rachel Gregor
- Department of Civil and Environmental Engineering, School of Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | | | | | - Jane Odoi
- Faculty of Engineering, University of Nottingham, Nottingham, UK
| | - Nicole J Bale
- Department of Marine Microbiology and Biogeochemistry, Netherlands Institute for Sea Research (NIOZ), t Horntje (Texel), the Netherlands
| | - Su Ding
- Department of Marine Microbiology and Biogeochemistry, Netherlands Institute for Sea Research (NIOZ), t Horntje (Texel), the Netherlands
| | - Jaap S Sinninghe Damsté
- Department of Marine Microbiology and Biogeochemistry, Netherlands Institute for Sea Research (NIOZ), t Horntje (Texel), the Netherlands
| | - Xue Li Guan
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | - Jerry J Cui
- Department of Microbiology, College of Arts and Sciences, The Ohio State University, Columbus, OH, USA
| | - Kou-San Ju
- Department of Microbiology, College of Arts and Sciences, The Ohio State University, Columbus, OH, USA
- Division of Medicinal Chemistry and Pharmacognosy, College of Pharmacy, The Ohio State University, Columbus, OH, USA
- Center for Applied Plant Sciences, The Ohio State University, Columbus, OH, USA
- Infectious Diseases Institute, The Ohio State University, Columbus, OH, USA
| | - Denise Brentan Silva
- Faculty of Pharmaceutical Sciences, Food and Nutrition, Federal University of Mato Grosso do Sul, Campo Grande, Mato Grosso do Sul, Brazil
| | - Fernanda Motta Ribeiro Silva
- Faculty of Pharmaceutical Sciences, Food and Nutrition, Federal University of Mato Grosso do Sul, Campo Grande, Mato Grosso do Sul, Brazil
| | | | - Hector H F Koolen
- Escola Superior de Ciências da Saúde, Universidade do Estado do Amazonas, Manaus, Brazil
| | - Carlismari Grundmann
- Department of Pharmaceutical Sciences, School of Pharmaceutical Sciences of Ribeirão Preto, University of São Paulo, Ribeirão Preto, Brazil
| | | | - Hosein Mohimani
- Computational Biology Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA
| | - Kirk Broders
- USDA, Agricultural Research Service, National Center for Agricultural Utilization Research, Mycotoxin Prevention and Applied Microbiology Research Unit, Peoria, IL, USA
| | - Kerry L McPhail
- Department of Pharmaceutical Sciences, College of Pharmacy, Oregon State University, Corvallis, OR, USA
| | - Sidnee E Ober-Singleton
- Department of Physics, Study of Heavy-Element-Biomaterials, University of Oregon, Eugene, OR, USA
| | | | - Daniel McDonald
- Department of Pediatrics, University of California San Diego, San Diego, CA, USA
| | - Rob Knight
- Department of Computer Science and Engineering, University of California San Diego, San Diego, CA, USA
- Department of Pediatrics, University of California San Diego, San Diego, CA, USA
- Department of Bioengineering, University of California San Diego, San Diego, CA, USA
| | - Mingxun Wang
- Department of Computer Science and Engineering, University of California Riverside, Riverside, CA, USA
| | - Pieter C Dorrestein
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, San Diego, CA, USA.
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, San Diego, CA, USA.
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Xia M, Anderson TL, Prantzalos ER, Hawkinson TR, Clarke HA, Keohane SB, Sun RC, Turner JR, Ortinski PI. Voltage-gated potassium channels control extended access cocaine seeking: a role for nucleus accumbens astrocytes. Neuropsychopharmacology 2024; 49:551-560. [PMID: 37660129 PMCID: PMC10789875 DOI: 10.1038/s41386-023-01718-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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Revised: 08/03/2023] [Accepted: 08/21/2023] [Indexed: 09/04/2023]
Abstract
Dopaminergic signaling in the nucleus accumbens shell (NAc) regulates neuronal activity relevant to reward-related learning, including cocaine-associated behaviors. Although astrocytes respond to dopamine and cocaine with structural changes, the impact of dopamine and cocaine on astrocyte functional plasticity has not been widely studied. Specifically, behavioral implications of voltage-gated channel activity in the canonically non-excitable astrocytes are not known. We characterized potassium channel function in NAc astrocytes following exposure to exogenous dopamine or cocaine self-administration training under short (2 h/day) and extended (6 h/day) access schedules. Electrophysiological, Ca2+ imaging, mRNA, and mass spectrometry tools were used for molecular characterization. Behavioral effects were examined after NAc-targeted microinjections of channel antagonists and astroglial toxins. Exogenous dopamine increased activity of currents mediated by voltage-gated (Kv7) channels in NAc astrocytes. This was associated with a ~5-fold increase in expression of Kcnq2 transcript level in homogenized NAc micropunches. Matrix-assisted laser desorption/ionization mass spectrometry revealed increased NAc dopamine levels in extended access, relative to short access, rats. Kv7 inhibition selectively increased frequency and amplitude of astrocyte intracellular Ca2+ transients in NAc of extended access rats. Inhibition of Kv7 channels in the NAc attenuated cocaine-seeking in extended access rats only, an effect that was occluded by microinjection of the astrocyte metabolic poison, fluorocitrate. These results suggest that voltage-gated K+ channel signaling in NAc astrocytes is behaviorally relevant, support Kv7-mediated regulation of astrocyte Ca2+ signals, and propose novel mechanisms of neuroglial interactions relevant to drug use.
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Affiliation(s)
- Mengfan Xia
- Department of Neuroscience, University of Kentucky, Lexington, KY, USA
- Department of Pharmacology and Nutritional Sciences, University of Kentucky, Lexington, KY, USA
| | - Tanner L Anderson
- Department of Neuroscience, University of Kentucky, Lexington, KY, USA
| | - Emily R Prantzalos
- Department of Pharmaceutical Sciences, University of Kentucky, Lexington, KY, USA
| | - Tara R Hawkinson
- Department of Biochemistry and Molecular Biology, University of Florida, Gainesville, FL, USA
| | - Harrison A Clarke
- Department of Biochemistry and Molecular Biology, University of Florida, Gainesville, FL, USA
| | - Shannon B Keohane
- Department of Biochemistry and Molecular Biology, University of Florida, Gainesville, FL, USA
| | - Ramon C Sun
- Department of Biochemistry and Molecular Biology, University of Florida, Gainesville, FL, USA
- Center for Advanced Spatial Biomolecule Research, University of Florida, Gainesville, FL, USA
| | - Jill R Turner
- Department of Pharmaceutical Sciences, University of Kentucky, Lexington, KY, USA
| | - Pavel I Ortinski
- Department of Neuroscience, University of Kentucky, Lexington, KY, USA.
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Bernabe CS, Caliman IF, de Abreu ARR, Molosh AI, Truitt WA, Shekhar A, Johnson PL. Identification of a novel perifornical-hypothalamic-area-projecting serotonergic system that inhibits innate panic and conditioned fear responses. Transl Psychiatry 2024; 14:60. [PMID: 38272876 PMCID: PMC10811332 DOI: 10.1038/s41398-024-02769-3] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Revised: 01/06/2024] [Accepted: 01/10/2024] [Indexed: 01/27/2024] Open
Abstract
The serotonin (5-HT) system is heavily implicated in the regulation of anxiety and trauma-related disorders such as panic disorder and post-traumatic stress disorder, respectively. However, the neural mechanisms of how serotonergic neurotransmission regulates innate panic and fear brain networks are poorly understood. Our earlier studies have identified that orexin (OX)/glutamate neurons within the perifornical hypothalamic area (PFA) play a critical role in adaptive and pathological panic and fear. While site-specific and electrophysiological studies have shown that intracranial injection and bath application of 5-HT inhibits PFA neurons via 5-HT1a receptors, they largely ignore circuit-specific neurotransmission and its physiological properties that occur in vivo. Here, we investigate the role of raphe nuclei 5-HT inputs into the PFA in panic and fear behaviors. We initially confirmed that photostimulation of glutamatergic neurons in the PFA of rats produces robust cardioexcitation and flight/aversive behaviors resembling panic-like responses. Using the retrograde tracer cholera toxin B, we determined that the PFA receives discrete innervation of serotonergic neurons clustered in the lateral wings of the dorsal (lwDRN) and in the median (MRN) raphe nuclei. Selective lesions of these serotonergic projections with saporin toxin resulted in similar panic-like responses during the suffocation-related CO2 challenge and increased freezing to fear-conditioning paradigm. Conversely, selective stimulation of serotonergic fibers in the PFA attenuated both flight/escape behaviors and cardioexcitation responses elicited by the CO2 challenge and induced conditioned place preference. The data here support the hypothesis that PFA projecting 5-HT neurons in the lwDRN/MRN represents a panic/fear-off circuit and may also play a role in reward behavior.
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Affiliation(s)
- Cristian S Bernabe
- Department of Anatomy, Cellular Biology & Physiology, Indiana University School of Medicine, Indianapolis, IN, USA.
- Stark Neurosciences Research Institute, Indiana University School of Medicine, Indianapolis, IN, USA.
- Department of Medicine, Division of Clinical Pharmacology, Indiana University School of Medicine, Indianapolis, IN, USA.
| | - Izabela F Caliman
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Aline R R de Abreu
- Departamento de Alimentos, Escola de Nutrição da Universidade Federal de Ouro Preto, Ouro Preto, MG, Brazil
| | - Andrei I Molosh
- Stark Neurosciences Research Institute, Indiana University School of Medicine, Indianapolis, IN, USA
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
| | - William A Truitt
- Department of Anatomy, Cellular Biology & Physiology, Indiana University School of Medicine, Indianapolis, IN, USA.
- Stark Neurosciences Research Institute, Indiana University School of Medicine, Indianapolis, IN, USA.
| | - Anantha Shekhar
- School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Philip L Johnson
- Department of Biology, University of South Dakota, Vermillion, SD, USA
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Leung YY, Naj AC, Chou YF, Valladares O, Schmidt M, Hamilton-Nelson K, Wheeler N, Lin H, Gangadharan P, Qu L, Clark K, Kuzma AB, Lee WP, Cantwell L, Nicaretta H, Haines J, Farrer L, Seshadri S, Brkanac Z, Cruchaga C, Pericak-Vance M, Mayeux RP, Bush WS, Destefano A, Martin E, Schellenberg GD, Wang LS. Human whole-exome genotype data for Alzheimer's disease. Nat Commun 2024; 15:684. [PMID: 38263370 PMCID: PMC10805795 DOI: 10.1038/s41467-024-44781-7] [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: 12/19/2022] [Accepted: 01/02/2024] [Indexed: 01/25/2024] Open
Abstract
The heterogeneity of the whole-exome sequencing (WES) data generation methods present a challenge to a joint analysis. Here we present a bioinformatics strategy for joint-calling 20,504 WES samples collected across nine studies and sequenced using ten capture kits in fourteen sequencing centers in the Alzheimer's Disease Sequencing Project. The joint-genotype called variant-called format (VCF) file contains only positions within the union of capture kits. The VCF was then processed specifically to account for the batch effects arising from the use of different capture kits from different studies. We identified 8.2 million autosomal variants. 96.82% of the variants are high-quality, and are located in 28,579 Ensembl transcripts. 41% of the variants are intronic and 1.8% of the variants are with CADD > 30, indicating they are of high predicted pathogenicity. Here we show our new strategy can generate high-quality data from processing these diversely generated WES samples. The improved ability to combine data sequenced in different batches benefits the whole genomics research community.
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Affiliation(s)
- Yuk Yee Leung
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
| | - Adam C Naj
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Yi-Fan Chou
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Otto Valladares
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Michael Schmidt
- Dr. John T. Macdonald Foundation Department of Human Genetics, Miller School of Medicine, University of Miami, Miami, FL, USA
- The John P. Hussman Institute for Human Genomics, University of Miami, Miami, FL, USA
| | - Kara Hamilton-Nelson
- Dr. John T. Macdonald Foundation Department of Human Genetics, Miller School of Medicine, University of Miami, Miami, FL, USA
- The John P. Hussman Institute for Human Genomics, University of Miami, Miami, FL, USA
| | - Nicholas Wheeler
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA
- Department of Genetics and Genome Sciences, School of Medicine, Case Western Reserve University, Cleveland, OH, USA
| | - Honghuang Lin
- Department of Medicine, UMass Chan Medical School, Boston, MA, USA
| | - Prabhakaran Gangadharan
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Liming Qu
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Kaylyn Clark
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Amanda B Kuzma
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Wan-Ping Lee
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Laura Cantwell
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Heather Nicaretta
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Jonathan Haines
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA
- Department of Genetics and Genome Sciences, School of Medicine, Case Western Reserve University, Cleveland, OH, USA
| | - Lindsay Farrer
- Department of Medicine (Biomedical Genetics), Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Sudha Seshadri
- Boston University School of Medicine, Boston, MA, USA
- The Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, TX, USA
| | - Zoran Brkanac
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, USA
| | - Carlos Cruchaga
- Washington University School of Medicine, St. Louis, MO, USA
| | - Margaret Pericak-Vance
- Dr. John T. Macdonald Foundation Department of Human Genetics, Miller School of Medicine, University of Miami, Miami, FL, USA
- The John P. Hussman Institute for Human Genomics, University of Miami, Miami, FL, USA
| | - Richard P Mayeux
- Department of Neurology, Taub Institute for Research on Alzheimer's Disease and the Aging Brain and the Gertrude H. Sergievsky Center, Columbia University and the New York Presbyterian Hospital, New York, NY, USA
| | - William S Bush
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA
- Department of Genetics and Genome Sciences, School of Medicine, Case Western Reserve University, Cleveland, OH, USA
| | - Anita Destefano
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
| | - Eden Martin
- Dr. John T. Macdonald Foundation Department of Human Genetics, Miller School of Medicine, University of Miami, Miami, FL, USA
- The John P. Hussman Institute for Human Genomics, University of Miami, Miami, FL, USA
| | - Gerard D Schellenberg
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Li-San Wang
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
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55
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Novais EJ, Narayanan R, Canseco JA, van de Wetering K, Kepler CK, Hilibrand AS, Vaccaro AR, Risbud MV. A new perspective on intervertebral disc calcification-from bench to bedside. Bone Res 2024; 12:3. [PMID: 38253615 PMCID: PMC10803356 DOI: 10.1038/s41413-023-00307-3] [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: 10/15/2023] [Revised: 12/04/2023] [Accepted: 12/05/2023] [Indexed: 01/24/2024] Open
Abstract
Disc degeneration primarily contributes to chronic low back and neck pain. Consequently, there is an urgent need to understand the spectrum of disc degeneration phenotypes such as fibrosis, ectopic calcification, herniation, or mixed phenotypes. Amongst these phenotypes, disc calcification is the least studied. Ectopic calcification, by definition, is the pathological mineralization of soft tissues, widely studied in the context of conditions that afflict vasculature, skin, and cartilage. Clinically, disc calcification is associated with poor surgical outcomes and back pain refractory to conservative treatment. It is frequently seen as a consequence of disc aging and progressive degeneration but exhibits unique molecular and morphological characteristics: hypertrophic chondrocyte-like cell differentiation; TNAP, ENPP1, and ANK upregulation; cell death; altered Pi and PPi homeostasis; and local inflammation. Recent studies in mouse models have provided a better understanding of the mechanisms underlying this phenotype. It is essential to recognize that the presentation and nature of mineralization differ between AF, NP, and EP compartments. Moreover, the combination of anatomic location, genetics, and environmental stressors, such as aging or trauma, govern the predisposition to calcification. Lastly, the systemic regulation of calcium and Pi metabolism is less important than the local activity of PPi modulated by the ANK-ENPP1 axis, along with disc cell death and differentiation status. While there is limited understanding of this phenotype, understanding the molecular pathways governing local intervertebral disc calcification may lead to developing disease-modifying drugs and better clinical management of degeneration-related pathologies.
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Affiliation(s)
- Emanuel J Novais
- Department of Orthopaedic Surgery, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA
- Unidade Local de Saúde do Litoral Alentejano, Orthopedic Department, Santiago do Cacém, Portugal
| | - Rajkishen Narayanan
- Rothman Orthopedic Institute at Thomas Jefferson University, Philadelphia, PA, USA
| | - Jose A Canseco
- Department of Orthopaedic Surgery, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA
- Rothman Orthopedic Institute at Thomas Jefferson University, Philadelphia, PA, USA
| | - Koen van de Wetering
- Department of Orthopaedic Surgery, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA
| | - Christopher K Kepler
- Department of Orthopaedic Surgery, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA
- Rothman Orthopedic Institute at Thomas Jefferson University, Philadelphia, PA, USA
| | - Alan S Hilibrand
- Rothman Orthopedic Institute at Thomas Jefferson University, Philadelphia, PA, USA
| | - Alexander R Vaccaro
- Department of Orthopaedic Surgery, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA
- Rothman Orthopedic Institute at Thomas Jefferson University, Philadelphia, PA, USA
| | - Makarand V Risbud
- Department of Orthopaedic Surgery, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA.
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56
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Yu Q, Du F, Belli I, Gomes PA, Sotiropoulos I, Waites CL. Glucocorticoid stress hormones stimulate vesicle-free Tau secretion and spreading in the brain. Cell Death Dis 2024; 15:73. [PMID: 38238309 PMCID: PMC10796385 DOI: 10.1038/s41419-024-06458-3] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Revised: 01/07/2024] [Accepted: 01/08/2024] [Indexed: 01/22/2024]
Abstract
Chronic stress and elevated levels of glucocorticoids (GCs), the main stress hormones, accelerate Alzheimer's disease (AD) onset and progression. A major driver of AD progression is the spreading of pathogenic Tau protein between brain regions, precipitated by neuronal Tau secretion. While stress and high GC levels are known to induce intraneuronal Tau pathology (i.e. hyperphosphorylation, oligomerization) in animal models, their role in trans-neuronal Tau spreading is unexplored. Here, we find that GCs promote secretion of full-length, primarily vesicle-free, phosphorylated Tau from murine hippocampal neurons and ex vivo brain slices. This process requires neuronal activity and the kinase GSK3β. GCs also dramatically enhance trans-neuronal Tau spreading in vivo, and this effect is blocked by an inhibitor of Tau oligomerization and type 1 unconventional protein secretion. These findings uncover a potential mechanism by which stress/GCs stimulate Tau propagation in AD.
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Affiliation(s)
- Qing Yu
- Department of Pathology and Cell Biology, Taub Institute for Research on Alzheimer's Disease and Aging Brain, Columbia University Irving Medical Center, New York, NY, USA
| | - Fang Du
- Department of Pathology and Cell Biology, Taub Institute for Research on Alzheimer's Disease and Aging Brain, Columbia University Irving Medical Center, New York, NY, USA
| | - Irla Belli
- Department of Pathology and Cell Biology, Taub Institute for Research on Alzheimer's Disease and Aging Brain, Columbia University Irving Medical Center, New York, NY, USA
| | - Patricia A Gomes
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Campus de Gualtar, Braga, Portugal
- ICVS/3B's - PT Government Associate Laboratory, Braga/Guimarães, Portugal
| | - Ioannis Sotiropoulos
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Campus de Gualtar, Braga, Portugal
- ICVS/3B's - PT Government Associate Laboratory, Braga/Guimarães, Portugal
- Institute of Biosciences and Applications, National Centre for Scientific Research (NCSR) Demokritos, Agia Paraskevi, Greece
| | - Clarissa L Waites
- Department of Pathology and Cell Biology, Taub Institute for Research on Alzheimer's Disease and Aging Brain, Columbia University Irving Medical Center, New York, NY, USA.
- Department of Neuroscience, Columbia University, New York, NY, USA.
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57
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Lindenboim L, Zohar H, Gundersen GG, Worman HJ, Stein R. LINC complex protein nesprin-2 has pro-apoptotic activity via Bcl-2 family proteins. Cell Death Discov 2024; 10:29. [PMID: 38225256 PMCID: PMC10789774 DOI: 10.1038/s41420-023-01763-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: 09/21/2023] [Revised: 11/13/2023] [Accepted: 12/06/2023] [Indexed: 01/17/2024] Open
Abstract
The apoptotic intrinsic pathway is initiated by perforation of the mitochondrial outer membrane by the effector pro-apoptotic proteins of the Bcl-2 family, Bax and Bak. Bax and Bak need to be activated, a process facilitated by the action of BH3-only pro-apoptotic members of the Bcl-2 family. The latter either directly activates the effector proteins or antagonizes the action of pro-survival Bcl-2 family members such as Bcl-xL. The nuclear envelope is a known target of the apoptotic machinery; however, it may also act as mediator of apoptosis. We showed previously that the nuclear envelope protein nesprin-2, a component of the linker of nucleoskeleton and cytoskeleton (LINC) complex, can bind to Bax in close proximity to the mitochondria and that the binding increases in apoptotic cells. We now show that depleting nesprin-2 inhibits the apoptotic mitochondrial pathway as measured by Bax and Bak activation and cytochrome c release. This survival effect was Bcl-xL-dependent. Nesprin-2 depletion also inhibited spontaneous exposure of the N-terminus of Bak in cells lacking Bcl-xL and increased the presence of Bcl-xL and Bax in the mitochondria. These results indicate that nesprin-2 promotes Bak activation and regulates mitochondrial translocation/retrotranslocation of Bcl-2 family proteins. Our findings demonstrate a new apoptotic pathway whereby the nuclear envelope, via nesprin-2, regulates apoptosis.
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Affiliation(s)
- Liora Lindenboim
- Department of Neurobiology, School of Neurobiology, Biochemistry and Biophysics, George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv, 69978, Israel
| | - Hila Zohar
- Department of Neurobiology, School of Neurobiology, Biochemistry and Biophysics, George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv, 69978, Israel
| | - Gregg G Gundersen
- Department of Pathology and Cell Biology, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, 10032, USA
| | - Howard J Worman
- Department of Pathology and Cell Biology, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, 10032, USA
- Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, 10032, USA
| | - Reuven Stein
- Department of Neurobiology, School of Neurobiology, Biochemistry and Biophysics, George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv, 69978, Israel.
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Doctor JN, Kelley MA, Goldstein NJ, Lucas J, Knight T, Stewart EP. A randomized trial looking at planning prompts to reduce opioid prescribing. Nat Commun 2024; 15:263. [PMID: 38216566 PMCID: PMC10786898 DOI: 10.1038/s41467-023-44573-5] [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: 07/24/2023] [Accepted: 12/20/2023] [Indexed: 01/14/2024] Open
Abstract
Prior work has demonstrated that personalized letters are effective at reducing opioid and benzodiazepine prescribing, but it is unclear whether If/when-then planning prompts would enhance this effect. We conducted a decedent-clustered trial which randomized 541 clinicians in Los Angeles County to receive a standard (n = 284), or comparator (n = 257) version of a letter with If/when-then prompts. We found a significant 12.85% (6.83%, 18.49%) and 8.32% (2.34%, 13.93%) decrease in the primary outcomes morphine (MME) and diazepam milligram equivalents (DME), respectively. This study confirms the benefit of planning prompts, and repeat letter exposure among clinicians with poor patient outcomes. Limitations include lack of generalizability and small sample size. Clinicaltrials.gov registration: NCT03856593.
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Affiliation(s)
- Jason N Doctor
- Sol Price School of Public Policy, University of Southern California, Los Angeles, CA, 90089, USA.
| | | | - Noah J Goldstein
- UCLA Anderson School of Management, UCLA Geffen School of Medicine, Los Angeles, CA, 90095, USA
| | - Jonathan Lucas
- Department of Medical Examiner-Coroner, County of Los Angeles, Los Angeles, CA, USA
| | - Tara Knight
- Sol Price School of Public Policy, University of Southern California, Los Angeles, CA, 90089, USA
| | - Emily P Stewart
- Sol Price School of Public Policy, University of Southern California, Los Angeles, CA, 90089, USA
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59
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Wilson KA, Bar S, Dammer EB, Carrera EM, Hodge BA, Hilsabeck TAU, Bons J, Brownridge GW, Beck JN, Rose J, Granath-Panelo M, Nelson CS, Qi G, Gerencser AA, Lan J, Afenjar A, Chawla G, Brem RB, Campeau PM, Bellen HJ, Schilling B, Seyfried NT, Ellerby LM, Kapahi P. OXR1 maintains the retromer to delay brain aging under dietary restriction. Nat Commun 2024; 15:467. [PMID: 38212606 PMCID: PMC10784588 DOI: 10.1038/s41467-023-44343-3] [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: 08/02/2023] [Accepted: 12/07/2023] [Indexed: 01/13/2024] Open
Abstract
Dietary restriction (DR) delays aging, but the mechanism remains unclear. We identified polymorphisms in mtd, the fly homolog of OXR1, which influenced lifespan and mtd expression in response to DR. Knockdown in adulthood inhibited DR-mediated lifespan extension in female flies. We found that mtd/OXR1 expression declines with age and it interacts with the retromer, which regulates trafficking of proteins and lipids. Loss of mtd/OXR1 destabilized the retromer, causing improper protein trafficking and endolysosomal defects. Overexpression of retromer genes or pharmacological restabilization with R55 rescued lifespan and neurodegeneration in mtd-deficient flies and endolysosomal defects in fibroblasts from patients with lethal loss-of-function of OXR1 variants. Multi-omic analyses in flies and humans showed that decreased Mtd/OXR1 is associated with aging and neurological diseases. mtd/OXR1 overexpression rescued age-related visual decline and tauopathy in a fly model. Hence, OXR1 plays a conserved role in preserving retromer function and is critical for neuronal health and longevity.
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Affiliation(s)
- Kenneth A Wilson
- Buck Institute for Research on Aging, Novato, CA, 94945, USA
- Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, 90089, USA
| | - Sudipta Bar
- Buck Institute for Research on Aging, Novato, CA, 94945, USA
| | - Eric B Dammer
- Department of Biochemistry, Emory University School of Medicine, Atlanta, GA, 30322, USA
| | | | - Brian A Hodge
- Buck Institute for Research on Aging, Novato, CA, 94945, USA
| | - Tyler A U Hilsabeck
- Buck Institute for Research on Aging, Novato, CA, 94945, USA
- Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, 90089, USA
| | - Joanna Bons
- Buck Institute for Research on Aging, Novato, CA, 94945, USA
| | | | - Jennifer N Beck
- Buck Institute for Research on Aging, Novato, CA, 94945, USA
| | - Jacob Rose
- Buck Institute for Research on Aging, Novato, CA, 94945, USA
| | | | | | - Grace Qi
- Buck Institute for Research on Aging, Novato, CA, 94945, USA
| | | | - Jianfeng Lan
- Buck Institute for Research on Aging, Novato, CA, 94945, USA
- Guanxi Key Laboratory of Molecular Medicine in Liver Injury and Repair, The Afilliated Hospital of Guilin Medican University, Guilin, 541001, Guanxi, China
| | - Alexandra Afenjar
- Assistance Publique des Hôpitaux de Paris, Unité de Génétique Clinique, Hôpital Armand Trousseau, Groupe Hospitalier Universitaire, Paris, 75012, France
- Département de Génétique et Embryologie Médicale, CRMR des Malformations et Maladies Congénitales du Cervelet, GRC ConCer-LD, Sorbonne Universités, Hôpital Trousseau, Paris, 75012, France
| | - Geetanjali Chawla
- RNA Biology Laboratory, Department of Life Sciences, School of Natural Sciences, Shiv Nadar Institute of Eminence, NH91, Tehsil Dadri, G. B. Nagar, 201314, Uttar Pradesh, India
| | - Rachel B Brem
- Buck Institute for Research on Aging, Novato, CA, 94945, USA
- Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, 90089, USA
- Department of Plant and Microbial Biology, University of California, Berkeley, 111 Koshland Hall, Berkeley, CA, 94720, USA
| | - Philippe M Campeau
- Centre Hospitalier Universitaire Saint-Justine Research Center, CHU Sainte-Justine, Montreal, QC, H3T 1J4, Canada
| | - Hugo J Bellen
- Departments of Molecular and Human Genetics and Neuroscience, Neurological Research Institute, Texas Children's Hospital, Baylor College of Medicine, Houston, TX, 77030, USA
| | | | - Nicholas T Seyfried
- Department of Biochemistry, Emory University School of Medicine, Atlanta, GA, 30322, USA
| | - Lisa M Ellerby
- Buck Institute for Research on Aging, Novato, CA, 94945, USA.
- Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, 90089, USA.
| | - Pankaj Kapahi
- Buck Institute for Research on Aging, Novato, CA, 94945, USA.
- Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, 90089, USA.
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60
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Yang Z, Wen J, Abdulkadir A, Cui Y, Erus G, Mamourian E, Melhem R, Srinivasan D, Govindarajan ST, Chen J, Habes M, Masters CL, Maruff P, Fripp J, Ferrucci L, Albert MS, Johnson SC, Morris JC, LaMontagne P, Marcus DS, Benzinger TLS, Wolk DA, Shen L, Bao J, Resnick SM, Shou H, Nasrallah IM, Davatzikos C. Gene-SGAN: discovering disease subtypes with imaging and genetic signatures via multi-view weakly-supervised deep clustering. Nat Commun 2024; 15:354. [PMID: 38191573 PMCID: PMC10774282 DOI: 10.1038/s41467-023-44271-2] [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: 02/17/2023] [Accepted: 12/06/2023] [Indexed: 01/10/2024] Open
Abstract
Disease heterogeneity has been a critical challenge for precision diagnosis and treatment, especially in neurologic and neuropsychiatric diseases. Many diseases can display multiple distinct brain phenotypes across individuals, potentially reflecting disease subtypes that can be captured using MRI and machine learning methods. However, biological interpretability and treatment relevance are limited if the derived subtypes are not associated with genetic drivers or susceptibility factors. Herein, we describe Gene-SGAN - a multi-view, weakly-supervised deep clustering method - which dissects disease heterogeneity by jointly considering phenotypic and genetic data, thereby conferring genetic correlations to the disease subtypes and associated endophenotypic signatures. We first validate the generalizability, interpretability, and robustness of Gene-SGAN in semi-synthetic experiments. We then demonstrate its application to real multi-site datasets from 28,858 individuals, deriving subtypes of Alzheimer's disease and brain endophenotypes associated with hypertension, from MRI and single nucleotide polymorphism data. Derived brain phenotypes displayed significant differences in neuroanatomical patterns, genetic determinants, biological and clinical biomarkers, indicating potentially distinct underlying neuropathologic processes, genetic drivers, and susceptibility factors. Overall, Gene-SGAN is broadly applicable to disease subtyping and endophenotype discovery, and is herein tested on disease-related, genetically-associated neuroimaging phenotypes.
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Affiliation(s)
- Zhijian Yang
- Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Center for and Data Science for Integrated Diagnostics (AI2D), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Graduate Group in Applied Mathematics and Computational Science, University of Pennsylvania, Philadelphia, PA, USA
| | - Junhao Wen
- Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Center for and Data Science for Integrated Diagnostics (AI2D), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Laboratory of AI and Biomedical Science (LABS), Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
| | - Ahmed Abdulkadir
- Laboratory for Research in Neuroimaging, Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland
| | - Yuhan Cui
- Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Center for and Data Science for Integrated Diagnostics (AI2D), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Guray Erus
- Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Center for and Data Science for Integrated Diagnostics (AI2D), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Elizabeth Mamourian
- Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Center for and Data Science for Integrated Diagnostics (AI2D), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Randa Melhem
- Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Center for and Data Science for Integrated Diagnostics (AI2D), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Dhivya Srinivasan
- Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Center for and Data Science for Integrated Diagnostics (AI2D), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Sindhuja T Govindarajan
- Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Center for and Data Science for Integrated Diagnostics (AI2D), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Jiong Chen
- Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Center for and Data Science for Integrated Diagnostics (AI2D), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Mohamad Habes
- Biggs Alzheimer's Institute, University of Texas San Antonio Health Science Center, San Antonio, TX, USA
| | - Colin L Masters
- The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, VIC, Australia
| | - Paul Maruff
- The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, VIC, Australia
| | - Jurgen Fripp
- CSIRO Health and Biosecurity, Australian e-Health Research Centre CSIRO, Brisbane, QLD, Australia
| | - Luigi Ferrucci
- Translational Gerontology Branch, Longitudinal Studies Section, National Institute on Aging, National Institutes of Health, MedStar Harbor Hospital, 3001 S. Hanover Street, Baltimore, MD, USA
| | - Marilyn S Albert
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Sterling C Johnson
- Wisconsin Alzheimer's Institute, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - John C Morris
- Knight Alzheimer Disease Research Center, Washington University in St. Louis, St. Louis, MO, USA
| | - Pamela LaMontagne
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Daniel S Marcus
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Tammie L S Benzinger
- Knight Alzheimer Disease Research Center, Washington University in St. Louis, St. Louis, MO, USA
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | - David A Wolk
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Li Shen
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA, USA
| | - Jingxuan Bao
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA, USA
| | - Susan M Resnick
- Laboratory of Behavioral Neuroscience, National Institute on Aging, Baltimore, MD, USA
| | - Haochang Shou
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA, USA
| | - Ilya M Nasrallah
- Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Center for and Data Science for Integrated Diagnostics (AI2D), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | - Christos Davatzikos
- Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Center for and Data Science for Integrated Diagnostics (AI2D), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
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61
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Balasubramaniam M, Narasimhappagari J, Liu L, Ganne A, Ayyadevara S, Atluri R, Ayyadevara H, Caldwell G, Reis RJS, Barger SW, Griffin WST. Rescue of ApoE4-related lysosomal autophagic failure in Alzheimer's disease by targeted small molecules. Commun Biol 2024; 7:60. [PMID: 38191671 PMCID: PMC10774381 DOI: 10.1038/s42003-024-05767-9] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Accepted: 01/02/2024] [Indexed: 01/10/2024] Open
Abstract
Homozygosity for the ε4 allele of APOE increases the odds of developing Alzheimer's by 12 to 15 times relative to the most common ε3;ε3 genotype, and its association with higher plaque loads comports with evidence that APOEε4 compromises autophagy. The ApoE4 protein specifically binds a cis element ("CLEAR") in the promoters of several autophagy genes to block their transcription. We used a multifaceted approach to identify a druggable site in ApoE4, and virtual screening of lead-like compounds identified small molecules that specifically bind to this site to impede ApoE4::DNA binding. We validated these molecules both in vitro and in vivo with models expressing ApoE4, including ApoE4 targeted-replacement mice. One compound was able to significantly restore transcription of several autophagy genes and protected against amyloid-like aggregation in a C. elegans AD model. Together, these findings provide proof-of-principle evidence for pharmacological remediation of lysosomal autophagy by ApoE4 via ApoE4-targeted lead molecules that represent a novel tack on neurodegenerative disorders.
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Affiliation(s)
| | | | - Ling Liu
- Department of Geriatrics, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Akshatha Ganne
- Department of Geriatrics, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Srinivas Ayyadevara
- Department of Geriatrics, University of Arkansas for Medical Sciences, Little Rock, AR, USA
- Central Arkansas Veterans Healthcare System, Little Rock, AR, USA
| | - Ramani Atluri
- Department of Geriatrics, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | | | - Guy Caldwell
- University of Alabama, Tuscaloosa, AL, 35487, USA
| | - Robert J Shmookler Reis
- Department of Geriatrics, University of Arkansas for Medical Sciences, Little Rock, AR, USA
- Central Arkansas Veterans Healthcare System, Little Rock, AR, USA
| | - Steven W Barger
- Department of Geriatrics, University of Arkansas for Medical Sciences, Little Rock, AR, USA
- Central Arkansas Veterans Healthcare System, Little Rock, AR, USA
| | - W Sue T Griffin
- Department of Geriatrics, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
- Central Arkansas Veterans Healthcare System, Little Rock, AR, USA.
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Pitz V, Makarious MB, Bandres-Ciga S, Iwaki H, Singleton AB, Nalls M, Heilbron K, Blauwendraat C. Analysis of rare Parkinson's disease variants in millions of people. NPJ Parkinsons Dis 2024; 10:11. [PMID: 38191580 PMCID: PMC10774311 DOI: 10.1038/s41531-023-00608-8] [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] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Accepted: 11/24/2023] [Indexed: 01/10/2024] Open
Abstract
Although many rare variants have been reportedly associated with Parkinson's disease (PD), many have not been replicated or have failed to replicate. Here, we conduct a large-scale replication of rare PD variants. We assessed a total of 27,590 PD cases, 6701 PD proxies, and 3,106,080 controls from three data sets: 23andMe, Inc., UK Biobank, and AMP-PD. Based on well-known PD genes, 834 variants of interest were selected from the ClinVar annotated 23andMe dataset. We performed a meta-analysis using summary statistics of all three studies. The meta-analysis resulted in five significant variants after Bonferroni correction, including variants in GBA1 and LRRK2. Another eight variants are strong candidate variants for their association with PD. Here, we provide the largest rare variant meta-analysis to date, providing information on confirmed and newly identified variants for their association with PD using several large databases. Additionally we also show the complexities of studying rare variants in large-scale cohorts.
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Affiliation(s)
- Vanessa Pitz
- Integrative Neurogenomics Unit, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA.
| | - Mary B Makarious
- Molecular Genetics Section, 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
| | - Sara Bandres-Ciga
- 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
| | - 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
| | - 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
| | - Mike Nalls
- 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
| | | | - Cornelis Blauwendraat
- Integrative Neurogenomics Unit, 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
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63
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Bourassa KJ, Garrett ME, Caspi A, Dennis M, Hall KS, Moffitt TE, Taylor GA, Ashley-Koch AE, Beckham JC, Kimbrel NA. Posttraumatic stress disorder, trauma, and accelerated biological aging among post-9/11 veterans. Transl Psychiatry 2024; 14:4. [PMID: 38184702 PMCID: PMC10771513 DOI: 10.1038/s41398-023-02704-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: 10/10/2023] [Revised: 11/27/2023] [Accepted: 12/05/2023] [Indexed: 01/08/2024] Open
Abstract
People who experience trauma and develop posttraumatic stress disorder (PTSD) are at increased risk for poor health. One mechanism that could explain this risk is accelerated biological aging, which is associated with the accumulation of chronic diseases, disability, and premature mortality. Using data from 2309 post-9/11 United States military veterans who participated in the VISN 6 MIRECC's Post-Deployment Mental Health Study, we tested whether PTSD and trauma exposure were associated with accelerated rate of biological aging, assessed using a validated DNA methylation (DNAm) measure of epigenetic aging-DunedinPACE. Veterans with current PTSD were aging faster than those who did not have current PTSD, β = 0.18, 95% CI [0.11, 0.27], p < .001. This effect represented an additional 0.4 months of biological aging each year. Veterans were also aging faster if they reported more PTSD symptoms, β = 0.13, 95% CI [0.09, 0.16], p < 0.001, or higher levels of trauma exposure, β = 0.09, 95% CI [0.05, 0.13], p < 0.001. Notably, veterans with past PTSD were aging more slowly than those with current PTSD, β = -0.21, 95% CI [-0.35, -0.07], p = .003. All reported results accounted for age, gender, self-reported race/ethnicity, and education, and remained when controlling for smoking. Our findings suggest that an accelerated rate of biological aging could help explain how PTSD contributes to poor health and highlights the potential benefits of providing efficacious treatment to populations at increased risk of trauma and PTSD.
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Affiliation(s)
- Kyle J Bourassa
- Geriatric Research, Education, and Clinical Center, Durham VA Health Care System, Durham, USA.
- VA Mid-Atlantic Mental Illness Research, Education and Clinical Center, Durham VA Health Care System, Durham, USA.
- Center for the Study of Aging and Human Development, Duke University Medical Center, Durham, USA.
| | | | - Avshalom Caspi
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, US
- Department of Psychology and Neuroscience, Duke University, Durham, USA
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Center for the Study of Population Health & Aging, Duke University Population Research Institute, Durham, USA
| | - Michelle Dennis
- VA Mid-Atlantic Mental Illness Research, Education and Clinical Center, Durham VA Health Care System, Durham, USA
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, US
| | - Katherine S Hall
- Geriatric Research, Education, and Clinical Center, Durham VA Health Care System, Durham, USA
- VA Mid-Atlantic Mental Illness Research, Education and Clinical Center, Durham VA Health Care System, Durham, USA
- Department of Medicine, Division of Geriatrics, Duke University, Durham, USA
| | - Terrie E Moffitt
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, US
- Department of Psychology and Neuroscience, Duke University, Durham, USA
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Center for the Study of Population Health & Aging, Duke University Population Research Institute, Durham, USA
| | - Gregory A Taylor
- Geriatric Research, Education, and Clinical Center, Durham VA Health Care System, Durham, USA
- VA Mid-Atlantic Mental Illness Research, Education and Clinical Center, Durham VA Health Care System, Durham, USA
- Department of Integrative Immunobiology, Duke University Medical Center, Durham, USA
| | | | - Jean C Beckham
- VA Mid-Atlantic Mental Illness Research, Education and Clinical Center, Durham VA Health Care System, Durham, USA
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, US
| | - Nathan A Kimbrel
- VA Mid-Atlantic Mental Illness Research, Education and Clinical Center, Durham VA Health Care System, Durham, USA
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, US
- VA Health Services Research and Development Center of Innovation to Accelerate Discovery and Practice Transformation, Durham VA Health Care System, Durham, USA
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64
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Kivisäkk P, Fatima HA, Cahoon DS, Otieno B, Chacko L, Minooei F, Demos C, Stengelin M, Sigal G, Wohlstadter J, Arnold SE. Clinical evaluation of a novel plasma pTau217 electrochemiluminescence immunoassay in Alzheimer's disease. Sci Rep 2024; 14:629. [PMID: 38182740 PMCID: PMC10770381 DOI: 10.1038/s41598-024-51334-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: 09/07/2023] [Accepted: 12/31/2023] [Indexed: 01/07/2024] Open
Abstract
A growing literature suggests that plasma levels of tau phosphorylated at amino acid 217 (pTau217) performs similarly to cerebrospinal fluid (CSF) biomarkers and PET imaging to detect amyloid pathology and to provide diagnostic and prognostic information in Alzheimer's disease (AD), but a significant limiting factor thus far has been a lack of widely available immunoassays. We evaluated a novel pTau217 S-PLEX® assay developed by Meso Scale Discovery (MSD; Rockville, MD) in plasma from 131 individuals with AD confirmed by CSF biomarkers and controls. Technical performance of the assay was excellent with an LLOQ of 1.84 pg/mL and intra/interplate CVs of 5.5% (0.3-15.0%) and 5.7% (range 0.3-13.4%), respectively. The pTau217 plasma assay differentiated AD and controls with an AUC of 0.98 (95% CI 0.96-1.0) and pTau217 levels were 3.9-fold higher in individuals with AD. This performance was significantly better than what was observed for plasma pTau181, performed in parallel, and comparable to published data on existing pTau217 assays. While further clinical validation and head-to-head comparisons are needed to fully establish the role for the novel pTau217 S-PLEX assay, these data demonstrate the utility of the assay to detect AD pathology.
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Affiliation(s)
- Pia Kivisäkk
- Alzheimer's Clinical and Translational Research Unit, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, 114 16th Street, Room 2300, Charlestown, Boston, MA, 02129, USA.
| | - Hadia A Fatima
- Alzheimer's Clinical and Translational Research Unit, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, 114 16th Street, Room 2300, Charlestown, Boston, MA, 02129, USA
| | - Danielle S Cahoon
- Alzheimer's Clinical and Translational Research Unit, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, 114 16th Street, Room 2300, Charlestown, Boston, MA, 02129, USA
| | | | - Leena Chacko
- Meso Scale Diagnostics, LLC., Rockville, MD, USA
| | | | | | | | - George Sigal
- Meso Scale Diagnostics, LLC., Rockville, MD, USA
| | | | - Steven E Arnold
- Alzheimer's Clinical and Translational Research Unit, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, 114 16th Street, Room 2300, Charlestown, Boston, MA, 02129, USA
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Zhang H, Skelin I, Ma S, Paff M, Mnatsakanyan L, Yassa MA, Knight RT, Lin JJ. Awake ripples enhance emotional memory encoding in the human brain. Nat Commun 2024; 15:215. [PMID: 38172140 PMCID: PMC10764865 DOI: 10.1038/s41467-023-44295-8] [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: 11/29/2021] [Accepted: 12/07/2023] [Indexed: 01/05/2024] Open
Abstract
Enhanced memory for emotional experiences is hypothesized to depend on amygdala-hippocampal interactions during memory consolidation. Here we show using intracranial recordings from the human amygdala and the hippocampus during an emotional memory encoding and discrimination task increased awake ripples after encoding of emotional, compared to neutrally-valenced stimuli. Further, post-encoding ripple-locked stimulus similarity is predictive of later memory discrimination. Ripple-locked stimulus similarity appears earlier in the amygdala than in hippocampus and mutual information analysis confirms amygdala influence on hippocampal activity. Finally, the joint ripple-locked stimulus similarity in the amygdala and hippocampus is predictive of correct memory discrimination. These findings provide electrophysiological evidence that post-encoding ripples enhance memory for emotional events.
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Affiliation(s)
- Haoxin Zhang
- Department of Neurology, University of California Irvine, Irvine, 92603, CA, USA.
- Department of Biomedical Engineering, University of California Irvine, Irvine, 92603, CA, USA.
| | - Ivan Skelin
- Krembil Brain Institute, Toronto Western Hospital, Toronto, Ontario, M5T 1M8, Canada
- Department Center for Advancing Neurotechnological Innovation to Application, Toronto, Ontario, M5G 2A2, Canada
| | - Shiting Ma
- Department of Neurology, University of California Irvine, Irvine, 92603, CA, USA
| | - Michelle Paff
- Department of Neurosurgery, University of California Irvine, Irvine, 92603, CA, USA
| | - Lilit Mnatsakanyan
- Department of Neurology, University of California Irvine, Irvine, 92603, CA, USA
| | - Michael A Yassa
- Department of Neurology, University of California Irvine, Irvine, 92603, CA, USA
- Department of Neurobiology and Behavior, University of California Irvine, Irvine, 92697, CA, USA
- Department of Psychiatry and Human Behavior, University of California Irvine, Irvine, 92697, CA, USA
| | - Robert T Knight
- Department of Psychology, University of California Berkeley, Berkeley, 94720, CA, USA
- Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, 94720, CA, USA
| | - Jack J Lin
- Department of Neurology, School of Medicine, University of California Davis, Sacramento, 95817, CA, USA.
- Center for Mind and Brain, University of California Davis, Davis, 95618, CA, USA.
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66
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Horta M, Shoenfelt A, Lighthall NR, Perez E, Frazier I, Heemskerk A, Lin T, Wilson RC, Ebner NC. Age-group differences in trust-related decision-making and learning. Sci Rep 2024; 14:68. [PMID: 38167997 PMCID: PMC10762071 DOI: 10.1038/s41598-023-50500-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: 05/19/2023] [Accepted: 12/20/2023] [Indexed: 01/05/2024] Open
Abstract
Facial impressions contribute to evaluations of trustworthiness. Older adults are especially vulnerable to trust violations, incurring risks for deception and exploitation. Using the newly developed social Iowa Gambling Task (S-IGT), we examined age-group differences in the impact of facial trustworthiness on decision-making and learning. In the congruent condition (CS-IGT), advantageous decks were paired with trustworthy faces and disadvantageous decks with untrustworthy faces. In the incongruent condition (IS-IGT), this pairing was reversed. Younger (n = 143) and older (n = 129) participants completed either the standard Iowa Gambling Task (IGT), CS-IGT, or IS-IGT. Both age groups preferred trustworthy faces in their initial choices. Older adults performed worse than younger adults across all tasks over time. Further, compared to younger adults, older adults performed worse on the IS-IGT, suggesting that incongruent facial cues interfered with older adults' performance, which aligns with reduced sensitivity to negative social reputations in aging. Multilevel modeling also indicated that age-group differences were most pronounced across all tasks in the last 40 trials. Together these findings suggest that differences between younger and older adults in experience-dependent decision-making are magnified in social contexts that involve a "wolf in sheep's clothing," which may reflect age-related difficulties in integrating incongruent information.
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Affiliation(s)
- Marilyn Horta
- Department of Psychology, University of Florida, Gainesville, FL, USA.
- Pain Research and Intervention Center of Excellence, University of Florida, Gainesville, FL, USA.
| | - Alayna Shoenfelt
- Department of Psychology, University of Florida, Gainesville, FL, USA
| | | | - Eliany Perez
- Department of Psychology, University of Florida, Gainesville, FL, USA
| | - Ian Frazier
- Department of Psychology, University of Florida, Gainesville, FL, USA
- Graduate School of Applied and Professional Psychology, Rutgers University, New Brunswick, NJ, USA
| | - Amber Heemskerk
- Department of Psychology, University of Florida, Gainesville, FL, USA
| | - Tian Lin
- Department of Psychology, University of Florida, Gainesville, FL, USA
| | - Robert C Wilson
- Department of Psychology, University of Arizona, Tucson, AZ, USA
| | - Natalie C Ebner
- Department of Psychology, University of Florida, Gainesville, FL, USA.
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Pocivavsek A, Erhardt S. Kynurenic acid: translational perspectives of a therapeutically targetable gliotransmitter. Neuropsychopharmacology 2024; 49:307-308. [PMID: 37500723 PMCID: PMC10700309 DOI: 10.1038/s41386-023-01681-6] [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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/29/2023]
Affiliation(s)
- Ana Pocivavsek
- Department of Pharmacology, Physiology, and Neuroscience, University of South Carolina School of Medicine, Columbia, SC, USA.
| | - Sophie Erhardt
- Department of Physiology and Pharmacology, Karolinska Institute, Stockholm, Sweden
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68
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Isola JVV, Ocañas SR, Hubbart CR, Ko S, Mondal SA, Hense JD, Carter HNC, Schneider A, Kovats S, Alberola-Ila J, Freeman WM, Stout MB. A single-cell atlas of the aging mouse ovary. Nat Aging 2024; 4:145-162. [PMID: 38200272 PMCID: PMC10798902 DOI: 10.1038/s43587-023-00552-5] [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] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Accepted: 12/01/2023] [Indexed: 01/12/2024]
Abstract
Ovarian aging leads to diminished fertility, dysregulated endocrine signaling and increased chronic disease burden. These effects begin to emerge long before follicular exhaustion. Female humans experience a sharp decline in fertility around 35 years of age, which corresponds to declines in oocyte quality. Despite a growing body of work, the field lacks a comprehensive cellular map of the transcriptomic changes in the aging mouse ovary to identify early drivers of ovarian decline. To fill this gap we performed single-cell RNA sequencing on ovarian tissue from young (3-month-old) and reproductively aged (9-month-old) mice. Our analysis revealed a doubling of immune cells in the aged ovary, with lymphocyte proportions increasing the most, which was confirmed by flow cytometry. We also found an age-related downregulation of collagenase pathways in stromal fibroblasts, which corresponds to rises in ovarian fibrosis. Follicular cells displayed stress-response, immunogenic and fibrotic signaling pathway inductions with aging. This report provides critical insights into mechanisms responsible for ovarian aging phenotypes. The data can be explored interactively via a Shiny-based web application.
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Affiliation(s)
- José V V Isola
- Aging & Metabolism Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, USA
| | - Sarah R Ocañas
- Genes & Human Disease Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, USA
- Neuroscience Department, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Physiology Department, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Oklahoma City Veterans Affairs Medical Center, Oklahoma City, OK, USA
| | - Chase R Hubbart
- Aging & Metabolism Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, USA
| | - Sunghwan Ko
- Genes & Human Disease Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, USA
- Neuroscience Department, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Samim Ali Mondal
- Aging & Metabolism Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, USA
| | - Jessica D Hense
- Aging & Metabolism Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, USA
- Nutrition College, Federal University of Pelotas, Pelotas, Brazil
| | - Hannah N C Carter
- Arthritis & Clinical Immunology Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, USA
| | | | - Susan Kovats
- Arthritis & Clinical Immunology Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, USA
| | - José Alberola-Ila
- Arthritis & Clinical Immunology Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, USA
| | - Willard M Freeman
- Genes & Human Disease Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, USA
- Oklahoma City Veterans Affairs Medical Center, Oklahoma City, OK, USA
| | - Michael B Stout
- Aging & Metabolism Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, USA.
- Oklahoma City Veterans Affairs Medical Center, Oklahoma City, OK, USA.
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69
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Kim JJ, Vitale D, Otani DV, Lian MM, Heilbron K, Iwaki H, Lake J, Solsberg CW, Leonard H, Makarious MB, Tan EK, Singleton AB, Bandres-Ciga S, Noyce AJ, Blauwendraat C, Nalls MA, Foo JN, Mata I. Multi-ancestry genome-wide association meta-analysis of Parkinson's disease. Nat Genet 2024; 56:27-36. [PMID: 38155330 PMCID: PMC10786718 DOI: 10.1038/s41588-023-01584-8] [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: 08/26/2022] [Accepted: 10/20/2023] [Indexed: 12/30/2023]
Abstract
Although over 90 independent risk variants have been identified for Parkinson's disease using genome-wide association studies, most studies have been performed in just one population at a time. Here we performed a large-scale multi-ancestry meta-analysis of Parkinson's disease with 49,049 cases, 18,785 proxy cases and 2,458,063 controls including individuals of European, East Asian, Latin American and African ancestry. In a meta-analysis, we identified 78 independent genome-wide significant loci, including 12 potentially novel loci (MTF2, PIK3CA, ADD1, SYBU, IRS2, USP8, PIGL, FASN, MYLK2, USP25, EP300 and PPP6R2) and fine-mapped 6 putative causal variants at 6 known PD loci. By combining our results with publicly available eQTL data, we identified 25 putative risk genes in these novel loci whose expression is associated with PD risk. This work lays the groundwork for future efforts aimed at identifying PD loci in non-European populations.
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Affiliation(s)
- 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.
| | - Dan Vitale
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
- Data Tecnica International, Washington, DC, 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
| | - Diego Véliz Otani
- Neurogenetics Research Center, Instituto Nacional de Ciencias Neurológicas, Lima, Peru
- Institute for Genome Sciences, University of Maryland, Baltimore, MD, USA
| | - Michelle Mulan Lian
- Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Singapore, Singapore
- Genome Institute of Singapore, Agency for Science, Technology and Research, A*STAR, Singapore, Singapore
| | | | - Hirotaka Iwaki
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
- Data Tecnica International, Washington, DC, 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
| | - Julie Lake
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
| | - Caroline Warly Solsberg
- Pharmaceutical Sciences and Pharmacogenomics, UCSF, 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, UCSF, San Francisco, CA, USA
| | - Hampton Leonard
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
- Data Tecnica International, Washington, DC, 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
| | - 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
| | - Eng-King Tan
- Department of Neurology, National Neuroscience Institute, Duke NUS Medical School, Singapore, Singapore
| | - Andrew B Singleton
- 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
| | - Sara Bandres-Ciga
- 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
| | - Alastair J Noyce
- Preventive Neurology Unit, Centre for Prevention Diagnosis and Detection, Wolfson Institute of Population Health, Queen Mary University of London, London, UK
| | - Cornelis Blauwendraat
- 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.
| | - Mike A Nalls
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA.
- Data Tecnica International, Washington, DC, 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.
| | - Jia Nee Foo
- Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Singapore, Singapore.
- Genome Institute of Singapore, Agency for Science, Technology and Research, A*STAR, Singapore, Singapore.
| | - Ignacio Mata
- Genomic Medicine, Lerner Research Institute, Cleveland Clinic Foundation, Cleveland, OH, USA.
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Gattas S, Larson MS, Mnatsakanyan L, Sen-Gupta I, Vadera S, Swindlehurst AL, Rapp PE, Lin JJ, Yassa MA. Theta mediated dynamics of human hippocampal-neocortical learning systems in memory formation and retrieval. Nat Commun 2023; 14:8505. [PMID: 38129375 PMCID: PMC10739909 DOI: 10.1038/s41467-023-44011-6] [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: 09/17/2020] [Accepted: 11/23/2023] [Indexed: 12/23/2023] Open
Abstract
Episodic memory arises as a function of dynamic interactions between the hippocampus and the neocortex, yet the mechanisms have remained elusive. Here, using human intracranial recordings during a mnemonic discrimination task, we report that 4-5 Hz (theta) power is differentially recruited during discrimination vs. overgeneralization, and its phase supports hippocampal-neocortical when memories are being formed and correctly retrieved. Interactions were largely bidirectional, with small but significant net directional biases; a hippocampus-to-neocortex bias during acquisition of new information that was subsequently correctly discriminated, and a neocortex-to-hippocampus bias during accurate discrimination of new stimuli from similar previously learned stimuli. The 4-5 Hz rhythm may facilitate the initial stages of information acquisition by neocortex during learning and the recall of stored information from cortex during retrieval. Future work should further probe these dynamics across different types of tasks and stimuli and computational models may need to be expanded accordingly to accommodate these findings.
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Affiliation(s)
- Sandra Gattas
- Department of Electrical Engineering and Computer Science, School of Engineering, University of California, Irvine, CA, 92617, USA
- Center for the Neurobiology of Learning and Memory, University of California, Irvine, CA, 92697, USA
| | - Myra Sarai Larson
- Center for the Neurobiology of Learning and Memory, University of California, Irvine, CA, 92697, USA
- Department of Neurobiology and Behavior, School of Biological Sciences, University of California, Irvine, CA, 92697, USA
| | - Lilit Mnatsakanyan
- Department of Neurology, School of Medicine, University of California, Irvine, CA, 92697, USA
| | - Indranil Sen-Gupta
- Department of Neurology, School of Medicine, University of California, Irvine, CA, 92697, USA
| | - Sumeet Vadera
- Department of Neurological Surgery, School of Medicine, University of California, Irvine, CA, 92697, USA
| | - A Lee Swindlehurst
- Department of Electrical Engineering and Computer Science, School of Engineering, University of California, Irvine, CA, 92617, USA
| | - Paul E Rapp
- Department of Military & Emergency Medicine, Uniformed Services University, Bethesda, MD, 20814, USA
| | - Jack J Lin
- Center for the Neurobiology of Learning and Memory, University of California, Irvine, CA, 92697, USA
- Department of Neurology, School of Medicine, University of California, Irvine, CA, 92697, USA
| | - Michael A Yassa
- Center for the Neurobiology of Learning and Memory, University of California, Irvine, CA, 92697, USA.
- Department of Neurobiology and Behavior, School of Biological Sciences, University of California, Irvine, CA, 92697, USA.
- Department of Neurology, School of Medicine, University of California, Irvine, CA, 92697, USA.
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71
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Tony Wolf S, Cottle RM, Fisher KG, Vecellio DJ, Larry Kenney W. Heat stress vulnerability and critical environmental limits for older adults. Commun Earth Environ 2023; 4:486. [PMID: 38293008 PMCID: PMC10826365 DOI: 10.1038/s43247-023-01159-9] [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] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Accepted: 12/05/2023] [Indexed: 02/01/2024]
Abstract
The present study examined heat stress vulnerability of apparently healthy older vs. young adults and characterized critical environmental limits for older adults in an indoor setting at rest (Rest) and during minimal activity associated with activities of daily living. Critical environmental limits are combinations of ambient temperature and humidity above which heat balance cannot be maintained (i.e., becomes uncompensable) for a given metabolic heat production. Here we exposed fifty-one young (23±4 yrs) and 49 older (71±6 yrs) adults to progressive heat stress across a wide range of environments in an environmental chamber during Minimal Activity (young and older subjects) and Rest (older adults only). Heat compensability curves were shifted leftward for older adults indicating age-dependent heat vulnerablity (p < 0.01). During Minimal Activity, critical environmental limits were lower in older compared to young adults (p < 0.0001) and lower than those at Rest (p < 0.0001). These data document heat vulnerability of apparently healthy older adults and to define critical environmental limits for indoor settings in older adults at rest and during activities of daily living, and can be used to develop evidence-based recommendations to minimize the deleterious impacts of extreme heat events in this population.
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Affiliation(s)
- S. Tony Wolf
- Department of Kinesiology, The Pennsylvania State University, University Park, PA 16802 USA
| | - Rachel M. Cottle
- Department of Kinesiology, The Pennsylvania State University, University Park, PA 16802 USA
- Center for Healthy Aging, The Pennsylvania State University, University Park, PA 16802 USA
| | - Kat G. Fisher
- Department of Kinesiology, The Pennsylvania State University, University Park, PA 16802 USA
| | - Daniel J. Vecellio
- Center for Healthy Aging, The Pennsylvania State University, University Park, PA 16802 USA
| | - W. Larry Kenney
- Department of Kinesiology, The Pennsylvania State University, University Park, PA 16802 USA
- Center for Healthy Aging, The Pennsylvania State University, University Park, PA 16802 USA
- Graduate Program in Physiology, The Pennsylvania State University, University Park, PA 16802 USA
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72
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Dang H, Castro-Portuguez R, Espejo L, Backer G, Freitas S, Spence E, Meyers J, Shuck K, Gardea EA, Chang LM, Balsa J, Thorns N, Corban C, Liu T, Bean S, Sheehan S, Korstanje R, Sutphin GL. On the benefits of the tryptophan metabolite 3-hydroxyanthranilic acid in Caenorhabditis elegans and mouse aging. Nat Commun 2023; 14:8338. [PMID: 38097593 PMCID: PMC10721613 DOI: 10.1038/s41467-023-43527-1] [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: 04/15/2022] [Accepted: 11/13/2023] [Indexed: 12/17/2023] Open
Abstract
Tryptophan metabolism through the kynurenine pathway influences molecular processes critical to healthy aging including immune signaling, redox homeostasis, and energy production. Aberrant kynurenine metabolism occurs during normal aging and is implicated in many age-associated pathologies including chronic inflammation, atherosclerosis, neurodegeneration, and cancer. We and others previously identified three kynurenine pathway genes-tdo-2, kynu-1, and acsd-1-for which decreasing expression extends lifespan in invertebrates. Here we report that knockdown of haao-1, a fourth gene encoding the enzyme 3-hydroxyanthranilic acid (3HAA) dioxygenase (HAAO), extends lifespan by ~30% and delays age-associated health decline in Caenorhabditis elegans. Lifespan extension is mediated by increased physiological levels of the HAAO substrate 3HAA. 3HAA increases oxidative stress resistance and activates the Nrf2/SKN-1 oxidative stress response. In pilot studies, female Haao knockout mice or aging wild type male mice fed 3HAA supplemented diet were also long-lived. HAAO and 3HAA represent potential therapeutic targets for aging and age-associated disease.
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Affiliation(s)
- Hope Dang
- Molecular & Cellular Biology, University of Arizona, Tucson, AZ, USA
| | | | - Luis Espejo
- Molecular & Cellular Biology, University of Arizona, Tucson, AZ, USA
| | | | - Samuel Freitas
- Molecular & Cellular Biology, University of Arizona, Tucson, AZ, USA
| | - Erica Spence
- Molecular & Cellular Biology, University of Arizona, Tucson, AZ, USA
| | - Jeremy Meyers
- Molecular & Cellular Biology, University of Arizona, Tucson, AZ, USA
| | - Karissa Shuck
- Molecular & Cellular Biology, University of Arizona, Tucson, AZ, USA
| | - Emily A Gardea
- Molecular & Cellular Biology, University of Arizona, Tucson, AZ, USA
| | - Leah M Chang
- Molecular & Cellular Biology, University of Arizona, Tucson, AZ, USA
| | - Jonah Balsa
- Molecular & Cellular Biology, University of Arizona, Tucson, AZ, USA
| | - Niall Thorns
- Molecular & Cellular Biology, University of Arizona, Tucson, AZ, USA
| | | | - Teresa Liu
- The Jackson Laboratory, Bar Harbor, ME, USA
| | | | | | | | - George L Sutphin
- Molecular & Cellular Biology, University of Arizona, Tucson, AZ, USA.
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73
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Gadaleta M, Harrington P, Barnhill E, Hytopoulos E, Turakhia MP, Steinhubl SR, Quer G. Prediction of atrial fibrillation from at-home single-lead ECG signals without arrhythmias. NPJ Digit Med 2023; 6:229. [PMID: 38087028 PMCID: PMC10716265 DOI: 10.1038/s41746-023-00966-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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Accepted: 11/15/2023] [Indexed: 02/12/2024] Open
Abstract
Early identification of atrial fibrillation (AF) can reduce the risk of stroke, heart failure, and other serious cardiovascular outcomes. However, paroxysmal AF may not be detected even after a two-week continuous monitoring period. We developed a model to quantify the risk of near-term AF in a two-week period, based on AF-free ECG intervals of up to 24 h from 459,889 patch-based ambulatory single-lead ECG (modified lead II) recordings of up to 14 days. A deep learning model was used to integrate ECG morphology data with demographic and heart rhythm features toward AF prediction. Observing a 1-day AF-free ECG recording, the model with deep learning features produced the most accurate prediction of near-term AF with an area under the curve AUC = 0.80 (95% confidence interval, CI = 0.79-0.81), significantly improving discrimination compared to demographic metrics alone (AUC 0.67; CI = 0.66-0.68). Our model was able to predict incident AF over a two-week time frame with high discrimination, based on AF-free single-lead ECG recordings of various lengths. Application of the model may enable a digital strategy for improving diagnostic capture of AF by risk stratifying individuals with AF-negative ambulatory monitoring for prolonged or recurrent monitoring, potentially leading to more rapid initiation of treatment.
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Affiliation(s)
| | | | | | | | - Mintu P Turakhia
- iRhythm Technologies, San Francisco, CA, USA
- Stanford University School of Medicine, Stanford, CA, USA
| | - Steven R Steinhubl
- Scripps Research Translational Institute, La Jolla, CA, USA
- Purdue University, Weldon School of Biomedical Engineering, West Lafayette, IN, USA
| | - Giorgio Quer
- Scripps Research Translational Institute, La Jolla, CA, USA.
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74
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Crews FT, Fisher RP, Qin L, Vetreno RP. HMGB1 neuroimmune signaling and REST-G9a gene repression contribute to ethanol-induced reversible suppression of the cholinergic neuron phenotype. Mol Psychiatry 2023; 28:5159-5172. [PMID: 37402853 PMCID: PMC10764639 DOI: 10.1038/s41380-023-02160-6] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/12/2022] [Revised: 06/14/2023] [Accepted: 06/22/2023] [Indexed: 07/06/2023]
Abstract
Adolescent binge drinking increases Toll-like receptor 4 (TLR4), receptor for advanced glycation end products (RAGE), the endogenous TLR4/RAGE agonist high-mobility group box 1 (HMGB1), and proinflammatory neuroimmune signaling in the adult basal forebrain in association with persistent reductions of basal forebrain cholinergic neurons (BFCNs). In vivo preclinical adolescent intermittent ethanol (AIE) studies find anti-inflammatory interventions post-AIE reverse HMGB1-TLR4/RAGE neuroimmune signaling and loss of BFCNs in adulthood, suggesting proinflammatory signaling causes epigenetic repression of the cholinergic neuron phenotype. Reversible loss of BFCN phenotype in vivo is linked to increased repressive histone 3 lysine 9 dimethylation (H3K9me2) occupancy at cholinergic gene promoters, and HMGB1-TLR4/RAGE proinflammatory signaling is linked to epigenetic repression of the cholinergic phenotype. Using an ex vivo basal forebrain slice culture (FSC) model, we report EtOH recapitulates the in vivo AIE-induced loss of ChAT+IR BFCNs, somal shrinkage of the remaining ChAT+ neurons, and reduction of BFCN phenotype genes. Targeted inhibition of EtOH-induced proinflammatory HMGB1 blocked ChAT+IR loss while disulfide HMBG1-TLR4 and fully reduced HMGB1-RAGE signaling decreased ChAT+IR BFCNs. EtOH increased expression of the transcriptional repressor RE1-silencing transcription factor (REST) and the H3K9 methyltransferase G9a that was accompanied by increased repressive H3K9me2 and REST occupancy at promoter regions of the BFCN phenotype genes Chat and Trka as well as the lineage transcription factor Lhx8. REST expression was similarly increased in the post-mortem human basal forebrain of individuals with alcohol use disorder, which is negatively correlated with ChAT expression. Administration of REST siRNA and the G9a inhibitor UNC0642 blocked and reversed the EtOH-induced loss of ChAT+IR BFCNs, directly linking REST-G9a transcriptional repression to suppression of the cholinergic neuron phenotype. These data suggest that EtOH induces a novel neuroplastic process involving neuroimmune signaling and transcriptional epigenetic gene repression resulting in the reversible suppression of the cholinergic neuron phenotype.
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Affiliation(s)
- Fulton T Crews
- Bowles Center for Alcohol Studies, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
- Department of Psychiatry, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Rachael P Fisher
- Bowles Center for Alcohol Studies, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Liya Qin
- Bowles Center for Alcohol Studies, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Ryan P Vetreno
- Bowles Center for Alcohol Studies, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.
- Department of Psychiatry, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.
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75
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Meyer CT, Lynch GK, Stamo DF, Miller EJ, Chatterjee A, Kralj JM. A high-throughput and low-waste viability assay for microbes. Nat Microbiol 2023; 8:2304-2314. [PMID: 37919425 PMCID: PMC10686820 DOI: 10.1038/s41564-023-01513-9] [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] [Accepted: 10/03/2023] [Indexed: 11/04/2023]
Abstract
Counting viable cells is a universal practice in microbiology. The colony-forming unit (CFU) assay has remained the gold standard to measure viability across disciplines, but it is time-intensive and resource-consuming. Here we describe the geometric viability assay (GVA) that replicates CFU measurements over 6 orders of magnitude while reducing over 10-fold the time and consumables required. GVA computes a sample's viable cell count on the basis of the distribution of embedded colonies growing inside a pipette tip. GVA is compatible with Gram-positive and Gram-negative planktonic bacteria (Escherichia coli, Pseudomonas aeruginosa and Bacillus subtilis), biofilms and fungi (Saccharomyces cerevisiae). Laborious CFU experiments such as checkerboard assays, treatment time-courses and drug screens against slow-growing cells are simplified by GVA. The ease and low cost of GVA evinces that it can replace existing viability assays and enable viability measurements at previously impractical scales.
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Affiliation(s)
- Christian T Meyer
- Molecular, Cellular, and Developmental Biology, University of Colorado Boulder, Boulder, CO, USA.
- Chemical and Biological Engineering, University of Colorado Boulder, Boulder, CO, USA.
- Antimicrobial Regeneration Consortium (ARC) Labs, Louisville, CO, USA.
- Duet Biosystems, Nashville, CO, USA.
| | - Grace K Lynch
- Molecular, Cellular, and Developmental Biology, University of Colorado Boulder, Boulder, CO, USA
| | - Dana F Stamo
- Chemical and Biological Engineering, University of Colorado Boulder, Boulder, CO, USA
- Antimicrobial Regeneration Consortium (ARC) Labs, Louisville, CO, USA
| | - Eugene J Miller
- Molecular, Cellular, and Developmental Biology, University of Colorado Boulder, Boulder, CO, USA
| | - Anushree Chatterjee
- Chemical and Biological Engineering, University of Colorado Boulder, Boulder, CO, USA.
- Antimicrobial Regeneration Consortium (ARC) Labs, Louisville, CO, USA.
- Sachi Bio, Louisville, CO, USA.
| | - Joel M Kralj
- Molecular, Cellular, and Developmental Biology, University of Colorado Boulder, Boulder, CO, USA.
- Think Bioscience, Boulder, CO, USA.
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76
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Nelson MR, Liu P, Agrawal A, Yip O, Blumenfeld J, Traglia M, Kim MJ, Koutsodendris N, Rao A, Grone B, Hao Y, Yoon SY, Xu Q, De Leon S, Choenyi T, Thomas R, Lopera F, Quiroz YT, Arboleda-Velasquez JF, Reiman EM, Mahley RW, Huang Y. The APOE-R136S mutation protects against APOE4-driven Tau pathology, neurodegeneration and neuroinflammation. Nat Neurosci 2023; 26:2104-2121. [PMID: 37957317 PMCID: PMC10689245 DOI: 10.1038/s41593-023-01480-8] [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: 10/23/2022] [Accepted: 10/04/2023] [Indexed: 11/15/2023]
Abstract
Apolipoprotein E4 (APOE4) is the strongest genetic risk factor for late-onset Alzheimer's disease (LOAD), leading to earlier age of clinical onset and exacerbating pathologies. There is a critical need to identify protective targets. Recently, a rare APOE variant, APOE3-R136S (Christchurch), was found to protect against early-onset AD in a PSEN1-E280A carrier. In this study, we sought to determine if the R136S mutation also protects against APOE4-driven effects in LOAD. We generated tauopathy mouse and human iPSC-derived neuron models carrying human APOE4 with the homozygous or heterozygous R136S mutation. We found that the homozygous R136S mutation rescued APOE4-driven Tau pathology, neurodegeneration and neuroinflammation. The heterozygous R136S mutation partially protected against APOE4-driven neurodegeneration and neuroinflammation but not Tau pathology. Single-nucleus RNA sequencing revealed that the APOE4-R136S mutation increased disease-protective and diminished disease-associated cell populations in a gene dose-dependent manner. Thus, the APOE-R136S mutation protects against APOE4-driven AD pathologies, providing a target for therapeutic development against AD.
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Affiliation(s)
- Maxine R Nelson
- Gladstone Institute of Neurological Disease, Gladstone Institutes, San Francisco, CA, USA
- Biomedical Sciences Graduate Program, University of California, San Francisco, San Francisco, CA, USA
| | - Peng Liu
- Gladstone Institute of Neurological Disease, Gladstone Institutes, San Francisco, CA, USA
| | - Ayushi Agrawal
- Gladstone Institute of Data Science and Biotechnology, Gladstone Institutes, San Francisco, CA, USA
| | - Oscar Yip
- Gladstone Institute of Neurological Disease, Gladstone Institutes, San Francisco, CA, USA
- Biomedical Sciences Graduate Program, University of California, San Francisco, San Francisco, CA, USA
| | - Jessica Blumenfeld
- Gladstone Institute of Neurological Disease, Gladstone Institutes, San Francisco, CA, USA
- Neuroscience Graduate Program, University of California, San Francisco, San Francisco, CA, USA
| | - Michela Traglia
- Gladstone Institute of Data Science and Biotechnology, Gladstone Institutes, San Francisco, CA, USA
| | - Min Joo Kim
- Gladstone Institute of Neurological Disease, Gladstone Institutes, San Francisco, CA, USA
- Biomedical Sciences Graduate Program, University of California, San Francisco, San Francisco, CA, USA
| | - Nicole Koutsodendris
- Gladstone Institute of Neurological Disease, Gladstone Institutes, San Francisco, CA, USA
- Developmental and Stem Cell Biology Graduate Program, University of California, San Francisco, San Francisco, CA, USA
| | - Antara Rao
- Gladstone Institute of Neurological Disease, Gladstone Institutes, San Francisco, CA, USA
- Developmental and Stem Cell Biology Graduate Program, University of California, San Francisco, San Francisco, CA, USA
| | - Brian Grone
- Gladstone Institute of Neurological Disease, Gladstone Institutes, San Francisco, CA, USA
- Gladstone Center for Translational Advancement, Gladstone Institutes, San Francisco, CA, USA
| | - Yanxia Hao
- Gladstone Institute of Neurological Disease, Gladstone Institutes, San Francisco, CA, USA
- Gladstone Center for Translational Advancement, Gladstone Institutes, San Francisco, CA, USA
| | - Seo Yeon Yoon
- Gladstone Institute of Neurological Disease, Gladstone Institutes, San Francisco, CA, USA
| | - Qin Xu
- Gladstone Institute of Neurological Disease, Gladstone Institutes, San Francisco, CA, USA
- Gladstone Center for Translational Advancement, Gladstone Institutes, San Francisco, CA, USA
| | - Samuel De Leon
- Gladstone Institute of Neurological Disease, Gladstone Institutes, San Francisco, CA, USA
| | - Tenzing Choenyi
- Gladstone Institute of Neurological Disease, Gladstone Institutes, San Francisco, CA, USA
- Gladstone Center for Translational Advancement, Gladstone Institutes, San Francisco, CA, USA
| | - Reuben Thomas
- Gladstone Institute of Data Science and Biotechnology, Gladstone Institutes, San Francisco, CA, USA
| | - Francisco Lopera
- Grupo de Neurociencias de Antioquia de la Universidad de Antioquia, Medellin, Colombia
| | - Yakeel T Quiroz
- Grupo de Neurociencias de Antioquia de la Universidad de Antioquia, Medellin, Colombia
- Departments of Neurology and Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Joseph F Arboleda-Velasquez
- Schepens Eye Research Institute of Mass Eye and Ear and Department of Ophthalmology, Harvard Medical School, Boston, MA, USA
| | - Eric M Reiman
- Banner Alzheimer's Institute, Phoenix, AZ, USA
- University of Arizona, Tucson, AZ, USA
| | - Robert W Mahley
- Gladstone Institute of Neurological Disease, Gladstone Institutes, San Francisco, CA, USA
- Department of Pathology, University of California, San Francisco, San Francisco, CA, USA
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Yadong Huang
- Gladstone Institute of Neurological Disease, Gladstone Institutes, San Francisco, CA, USA.
- Biomedical Sciences Graduate Program, University of California, San Francisco, San Francisco, CA, USA.
- Neuroscience Graduate Program, University of California, San Francisco, San Francisco, CA, USA.
- Developmental and Stem Cell Biology Graduate Program, University of California, San Francisco, San Francisco, CA, USA.
- Gladstone Center for Translational Advancement, Gladstone Institutes, San Francisco, CA, USA.
- Department of Pathology, University of California, San Francisco, San Francisco, CA, USA.
- Department of Neurology, University of California, San Francisco, San Francisco, CA, USA.
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77
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Meade N, Toreev HK, Chakrabarty RP, Hesser CR, Park C, Chandel NS, Walsh D. The poxvirus F17 protein counteracts mitochondrially orchestrated antiviral responses. Nat Commun 2023; 14:7889. [PMID: 38036506 PMCID: PMC10689448 DOI: 10.1038/s41467-023-43635-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: 04/19/2023] [Accepted: 11/15/2023] [Indexed: 12/02/2023] Open
Abstract
Poxviruses are unusual DNA viruses that replicate in the cytoplasm. To do so, they encode approximately 100 immunomodulatory proteins that counteract cytosolic nucleic acid sensors such as cGAMP synthase (cGAS) along with several other antiviral response pathways. Yet most of these immunomodulators are expressed very early in infection while many are variable host range determinants, and significant gaps remain in our understanding of poxvirus sensing and evasion strategies. Here, we show that after infection is established, subsequent progression of the viral lifecycle is sensed through specific changes to mitochondria that coordinate distinct aspects of the antiviral response. Unlike other viruses that cause extensive mitochondrial damage, poxviruses sustain key mitochondrial functions including membrane potential and respiration while reducing reactive oxygen species that drive inflammation. However, poxvirus replication induces mitochondrial hyperfusion that independently controls the release of mitochondrial DNA (mtDNA) to prime nucleic acid sensors and enables an increase in glycolysis that is necessary to support interferon stimulated gene (ISG) production. To counter this, the poxvirus F17 protein localizes to mitochondria and dysregulates mTOR to simultaneously destabilize cGAS and block increases in glycolysis. Our findings reveal how the poxvirus F17 protein disarms specific mitochondrially orchestrated responses to later stages of poxvirus replication.
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Affiliation(s)
- Nathan Meade
- Department of Microbiology-Immunology, Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA
| | - Helen K Toreev
- Department of Microbiology-Immunology, Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA
| | - Ram P Chakrabarty
- Department of Medicine, and Department of Biochemistry and Molecular Genetics, Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA
| | - Charles R Hesser
- Department of Microbiology-Immunology, Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA
| | - Chorong Park
- Department of Microbiology-Immunology, Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA
| | - Navdeep S Chandel
- Department of Medicine, and Department of Biochemistry and Molecular Genetics, Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA
| | - Derek Walsh
- Department of Microbiology-Immunology, Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA.
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78
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Yang HS, Teng L, Kang D, Menon V, Ge T, Finucane HK, Schultz AP, Properzi M, Klein HU, Chibnik LB, Schneider JA, Bennett DA, Hohman TJ, Mayeux RP, Johnson KA, De Jager PL, Sperling RA. Cell-type-specific Alzheimer's disease polygenic risk scores are associated with distinct disease processes in Alzheimer's disease. Nat Commun 2023; 14:7659. [PMID: 38036535 PMCID: PMC10689816 DOI: 10.1038/s41467-023-43132-2] [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: 05/22/2023] [Accepted: 11/01/2023] [Indexed: 12/02/2023] Open
Abstract
Many of the Alzheimer's disease (AD) risk genes are specifically expressed in microglia and astrocytes, but how and when the genetic risk localizing to these cell types contributes to AD pathophysiology remains unclear. Here, we derive cell-type-specific AD polygenic risk scores (ADPRS) from two extensively characterized datasets and uncover the impact of cell-type-specific genetic risk on AD endophenotypes. In an autopsy dataset spanning all stages of AD (n = 1457), the astrocytic ADPRS affected diffuse and neuritic plaques (amyloid-β), while microglial ADPRS affected neuritic plaques, microglial activation, neurofibrillary tangles (tau), and cognitive decline. In an independent neuroimaging dataset of cognitively unimpaired elderly (n = 2921), astrocytic ADPRS was associated with amyloid-β, and microglial ADPRS was associated with amyloid-β and tau, connecting cell-type-specific genetic risk with AD pathology even before symptom onset. Together, our study provides human genetic evidence implicating multiple glial cell types in AD pathophysiology, starting from the preclinical stage.
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Affiliation(s)
- Hyun-Sik Yang
- 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.
- Harvard Medical School, Boston, MA, USA.
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.
| | - Ling Teng
- Center for Alzheimer Research and Treatment, Department of Neurology, Brigham and Women's Hospital, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Daniel Kang
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Vilas Menon
- Center for Translational & Computational Neuroimmunology, Department of Neurology, Columbia University Irving Medical Center, New York, NY, USA
- Department of Neurology and the Taub Institute for the Study of Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY, USA
| | - Tian Ge
- Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Center for Precision Psychiatry, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Hilary K Finucane
- Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Aaron P Schultz
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Michael Properzi
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Hans-Ulrich Klein
- Center for Translational & Computational Neuroimmunology, Department of Neurology, Columbia University Irving Medical Center, New York, NY, USA
- Department of Neurology and the Taub Institute for the Study of Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY, USA
| | - Lori B Chibnik
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Julie A Schneider
- 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
| | - Timothy J Hohman
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Richard P Mayeux
- Department of Neurology and the Taub Institute for the Study of Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY, USA
| | - Keith A Johnson
- 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
- Harvard Medical School, Boston, MA, USA
- Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - Philip L De Jager
- Center for Translational & Computational Neuroimmunology, Department of Neurology, Columbia University Irving Medical Center, New York, NY, USA
- Department of Neurology and the Taub Institute for the Study of Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY, USA
| | - Reisa A Sperling
- 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
- Harvard Medical School, Boston, MA, USA
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79
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Yang Z, Mitra A, Liu W, Berlowitz D, Yu H. TransformEHR: transformer-based encoder-decoder generative model to enhance prediction of disease outcomes using electronic health records. Nat Commun 2023; 14:7857. [PMID: 38030638 PMCID: PMC10687211 DOI: 10.1038/s41467-023-43715-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: 05/03/2023] [Accepted: 11/17/2023] [Indexed: 12/01/2023] Open
Abstract
Deep learning transformer-based models using longitudinal electronic health records (EHRs) have shown a great success in prediction of clinical diseases or outcomes. Pretraining on a large dataset can help such models map the input space better and boost their performance on relevant tasks through finetuning with limited data. In this study, we present TransformEHR, a generative encoder-decoder model with transformer that is pretrained using a new pretraining objective-predicting all diseases and outcomes of a patient at a future visit from previous visits. TransformEHR's encoder-decoder framework, paired with the novel pretraining objective, helps it achieve the new state-of-the-art performance on multiple clinical prediction tasks. Comparing with the previous model, TransformEHR improves area under the precision-recall curve by 2% (p < 0.001) for pancreatic cancer onset and by 24% (p = 0.007) for intentional self-harm in patients with post-traumatic stress disorder. The high performance in predicting intentional self-harm shows the potential of TransformEHR in building effective clinical intervention systems. TransformEHR is also generalizable and can be easily finetuned for clinical prediction tasks with limited data.
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Affiliation(s)
- Zhichao Yang
- College of Information and Computer Science, University of Massachusetts Amherst, Amherst, MA, USA
| | - Avijit Mitra
- College of Information and Computer Science, University of Massachusetts Amherst, Amherst, MA, USA
| | - Weisong Liu
- School of Computer & Information Sciences, University of Massachusetts Lowell, Lowell, MA, USA
- Center for Healthcare Organization and Implementation Research, VA Bedford Health Care System, Bedford, MA, USA
| | - Dan Berlowitz
- Center for Healthcare Organization and Implementation Research, VA Bedford Health Care System, Bedford, MA, USA
- Department of Public Health, University of Massachusetts Lowell, Lowell, MA, USA
| | - Hong Yu
- College of Information and Computer Science, University of Massachusetts Amherst, Amherst, MA, USA.
- School of Computer & Information Sciences, University of Massachusetts Lowell, Lowell, MA, USA.
- Center for Healthcare Organization and Implementation Research, VA Bedford Health Care System, Bedford, MA, USA.
- Center for Biomedical and Health Research in Data Sciences, University of Massachusetts Lowell, Lowell, MA, USA.
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80
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Chou V, Pearse RV, Aylward AJ, Ashour N, Taga M, Terzioglu G, Fujita M, Fancher SB, Sigalov A, Benoit CR, Lee H, Lam M, Seyfried NT, Bennett DA, De Jager PL, Menon V, Young-Pearse TL. INPP5D regulates inflammasome activation in human microglia. Nat Commun 2023; 14:7552. [PMID: 38016942 PMCID: PMC10684891 DOI: 10.1038/s41467-023-42819-w] [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: 09/06/2023] [Accepted: 10/20/2023] [Indexed: 11/30/2023] Open
Abstract
Microglia and neuroinflammation play an important role in the development and progression of Alzheimer's disease (AD). Inositol polyphosphate-5-phosphatase D (INPP5D/SHIP1) is a myeloid-expressed gene genetically-associated with AD. Through unbiased analyses of RNA and protein profiles in INPP5D-disrupted iPSC-derived human microglia, we find that reduction in INPP5D activity is associated with molecular profiles consistent with disrupted autophagy and inflammasome activation. These findings are validated through targeted pharmacological experiments which demonstrate that reduced INPP5D activity induces the formation of the NLRP3 inflammasome, cleavage of CASP1, and secretion of IL-1β and IL-18. Further, in-depth analyses of human brain tissue across hundreds of individuals using a multi-analytic approach provides evidence that a reduction in function of INPP5D in microglia results in inflammasome activation in AD. These findings provide insights into the molecular mechanisms underlying microglia-mediated processes in AD and highlight the inflammasome as a potential therapeutic target for modulating INPP5D-mediated vulnerability to AD.
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Affiliation(s)
- Vicky Chou
- Ann Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Richard V Pearse
- Ann Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Aimee J Aylward
- Ann Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Nancy Ashour
- Ann Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Mariko Taga
- Center for Translational and Computational Neuroimmunology, Department of Neurology, and the Taub Institute for the Study of Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY, USA
| | - Gizem Terzioglu
- Ann Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Masashi Fujita
- Center for Translational and Computational Neuroimmunology, Department of Neurology, and the Taub Institute for the Study of Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY, USA
| | - Seeley B Fancher
- Ann Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Alina Sigalov
- Center for Translational and Computational Neuroimmunology, Department of Neurology, and the Taub Institute for the Study of Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY, USA
| | - Courtney R Benoit
- Ann Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Hyo Lee
- Ann Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Matti Lam
- Center for Translational and Computational Neuroimmunology, Department of Neurology, and the Taub Institute for the Study of Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY, USA
| | - Nicholas T Seyfried
- Department of Biochemistry, Emory School of Medicine, Atlanta, GA, USA
- Department of Neurology, Emory School of Medicine, Atlanta, GA, USA
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Philip L De Jager
- Center for Translational and Computational Neuroimmunology, Department of Neurology, and the Taub Institute for the Study of Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY, USA
| | - Vilas Menon
- Center for Translational and Computational Neuroimmunology, Department of Neurology, and the Taub Institute for the Study of Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY, USA
| | - Tracy L Young-Pearse
- Ann Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
- Harvard Stem Cell Institute, Harvard University, Cambridge, MA, USA.
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81
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Ma L, Wang F, Li Y, Wang J, Chang Q, Du Y, Sadan J, Zhao Z, Fan G, Yao B, Chen JF. Brain methylome remodeling selectively regulates neuronal activity genes linking to emotional behaviors in mice exposed to maternal immune activation. Nat Commun 2023; 14:7829. [PMID: 38030616 PMCID: PMC10687003 DOI: 10.1038/s41467-023-43497-4] [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: 01/21/2023] [Accepted: 11/10/2023] [Indexed: 12/01/2023] Open
Abstract
How early life experience is translated into storable epigenetic information leading to behavioral changes remains poorly understood. Here we found that Zika virus (ZIKV) induced-maternal immune activation (MIA) imparts offspring with anxiety- and depression-like behavior. By integrating bulk and single-nucleus RNA sequencing (snRNA-seq) with genome-wide 5hmC (5-hydroxymethylcytosine) profiling and 5mC (5-methylcytosine) profiling in prefrontal cortex (PFC) of ZIKV-affected male offspring mice, we revealed an overall loss of 5hmC and an increase of 5mC levels in intragenic regions, associated with transcriptional changes in neuropsychiatric disorder-related genes. In contrast to their rapid initiation and inactivation in normal conditions, immediate-early genes (IEGs) remain a sustained upregulation with enriched expression in excitatory neurons, which is coupled with increased 5hmC and decreased 5mC levels of IEGs in ZIKV-affected male offspring. Thus, MIA induces maladaptive methylome remodeling in brain and selectively regulates neuronal activity gene methylation linking to emotional behavioral abnormalities in offspring.
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Affiliation(s)
- Li Ma
- Center for Craniofacial Molecular Biology, University of Southern California, Los Angeles, CA, 90033, USA
| | - Feng Wang
- Department of Human Genetics, Emory University School of Medicine, Atlanta, GA, 30322, USA
| | - Yangping Li
- Department of Human Genetics, Emory University School of Medicine, Atlanta, GA, 30322, USA
| | - Jing Wang
- Department of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, 90095, USA
| | - Qing Chang
- Center for Craniofacial Molecular Biology, University of Southern California, Los Angeles, CA, 90033, USA
| | - Yuanning Du
- Center for Craniofacial Molecular Biology, University of Southern California, Los Angeles, CA, 90033, USA
| | - Jotham Sadan
- Center for Craniofacial Molecular Biology, University of Southern California, Los Angeles, CA, 90033, USA
| | - Zhen Zhao
- Zilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90033, USA
| | - Guoping Fan
- Department of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, 90095, USA.
| | - Bing Yao
- Department of Human Genetics, Emory University School of Medicine, Atlanta, GA, 30322, USA.
| | - Jian-Fu Chen
- Center for Craniofacial Molecular Biology, University of Southern California, Los Angeles, CA, 90033, USA.
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82
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Gorenflo MP, Davis PB, Kaelber DC, Xu R. Ischemic stroke after COVID-19 bivalent vaccine administration in patients aged 65 years and older in the United States. NPJ Vaccines 2023; 8:180. [PMID: 37996515 PMCID: PMC10667491 DOI: 10.1038/s41541-023-00777-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: 06/03/2023] [Accepted: 11/06/2023] [Indexed: 11/25/2023] Open
Abstract
The Centers for Disease Control and Prevention announced in January 2023 a potential connection between administration of the Pfizer novel coronavirus disease-2019 (COVID-19) bivalent vaccine booster and ischemic stroke (IS). A retrospective cohort study was conducted to compare the hazard of IS in patients aged 65 years and over administered the Pfizer bivalent booster versus those administered the Pfizer/Moderna monovalent or Moderna bivalent boosters. De-identified patient electronic health data were collected from TriNetX, a cloud-based analytics platform that includes data from over 90 million unique patients in the United States. Patients aged 65 years and over at the time of administration of a Pfizer bivalent, Moderna bivalent, or Pfizer/Moderna monovalent booster were included for analysis. Cohorts were propensity-score matched. The hazard ratios (HR) and 95% confidence intervals (CI) for IS between matched cohorts at 1-21 and 22-42 days after booster administration were calculated. There was reduced hazard of IS in the Pfizer bivalent cohort compared to the monovalent cohort at both timepoints: 1-21 days after vaccination (HR: 0.54, 95% CI: 0.47-0.62), and 22-42 days after vaccination (HR: 0.62, 95% CI: 0.54-0.72) (n = 79,036 patients per cohort). There was reduced hazard of IS in the Pfizer bivalent cohort compared to the Moderna bivalent cohort at 1-21 days after vaccination (HR: 0.75, 95% CI: 0.58-0.96) (n = 26,962 patients per cohort). This analysis provides no evidence that the Pfizer bivalent vaccine is associated with increased hazard of IS compared to the monovalent or Moderna bivalent vaccines.
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Affiliation(s)
- Maria P Gorenflo
- Center for Artificial Intelligence in Drug Discovery, Case Western Reserve University School of Medicine, Cleveland, OH, USA
| | - Pamela B Davis
- Center for Community Health Integration, Case Western Reserve University School of Medicine, Cleveland, OH, USA
| | - David C Kaelber
- Center for Clinical Informatics Research and Education, The MetroHealth System, and Department of Internal Medicine, Pediatrics, and Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA
| | - Rong Xu
- Center for Artificial Intelligence in Drug Discovery, Case Western Reserve University School of Medicine, Cleveland, OH, USA.
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83
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Wang J, Li J, Kramer ST, Su L, Chang Y, Xu C, Eadon MT, Kiryluk K, Ma Q, Xu D. Dimension-agnostic and granularity-based spatially variable gene identification using BSP. Nat Commun 2023; 14:7367. [PMID: 37963892 PMCID: PMC10645821 DOI: 10.1038/s41467-023-43256-5] [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: 03/13/2023] [Accepted: 11/03/2023] [Indexed: 11/16/2023] Open
Abstract
Identifying spatially variable genes (SVGs) is critical in linking molecular cell functions with tissue phenotypes. Spatially resolved transcriptomics captures cellular-level gene expression with corresponding spatial coordinates in two or three dimensions and can be used to infer SVGs effectively. However, current computational methods may not achieve reliable results and often cannot handle three-dimensional spatial transcriptomic data. Here we introduce BSP (big-small patch), a non-parametric model by comparing gene expression pattens at two spatial granularities to identify SVGs from two or three-dimensional spatial transcriptomics data in a fast and robust manner. This method has been extensively tested in simulations, demonstrating superior accuracy, robustness, and high efficiency. BSP is further validated by substantiated biological discoveries in cancer, neural science, rheumatoid arthritis, and kidney studies with various types of spatial transcriptomics technologies.
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Affiliation(s)
- Juexin Wang
- Department of BioHealth Informatics, Luddy School of Informatics, Computing, and Engineering, Indiana University Indianapolis, Indianapolis, IN, 46202, USA.
- Department of Electrical Engineering and Computer Science, University of Missouri, Columbia, MO, 65211, USA.
| | - Jinpu Li
- Institute for Data Science and Informatics, University of Missouri, Columbia, MO, 65211, USA
- Christopher S. Bond Life Sciences Center, University of Missouri, Columbia, MO, 65211, USA
| | - Skyler T Kramer
- Institute for Data Science and Informatics, University of Missouri, Columbia, MO, 65211, USA
- Christopher S. Bond Life Sciences Center, University of Missouri, Columbia, MO, 65211, USA
| | - Li Su
- Institute for Data Science and Informatics, University of Missouri, Columbia, MO, 65211, USA
- Christopher S. Bond Life Sciences Center, University of Missouri, Columbia, MO, 65211, USA
| | - Yuzhou Chang
- Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, OH, 43210, USA
- Pelotonia Institute for Immuno-Oncology, The James Comprehensive Cancer Center, The Ohio State University, Columbus, OH, 43210, USA
| | - Chunhui Xu
- Institute for Data Science and Informatics, University of Missouri, Columbia, MO, 65211, USA
- Christopher S. Bond Life Sciences Center, University of Missouri, Columbia, MO, 65211, USA
| | - Michael T Eadon
- Department of Medicine, Indiana University, Indianapolis, IN, 46202, USA
| | - Krzysztof Kiryluk
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians & Surgeons, Columbia University Irving Medical Center, New York, NY, 10027, USA
| | - Qin Ma
- Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, OH, 43210, USA.
- Pelotonia Institute for Immuno-Oncology, The James Comprehensive Cancer Center, The Ohio State University, Columbus, OH, 43210, USA.
| | - Dong Xu
- Department of Electrical Engineering and Computer Science, University of Missouri, Columbia, MO, 65211, USA.
- Institute for Data Science and Informatics, University of Missouri, Columbia, MO, 65211, USA.
- Christopher S. Bond Life Sciences Center, University of Missouri, Columbia, MO, 65211, USA.
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84
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Hunt LC, Pagala V, Stephan A, Xie B, Kodali K, Kavdia K, Wang YD, Shirinifard A, Curley M, Graca FA, Fu Y, Poudel S, Li Y, Wang X, Tan H, Peng J, Demontis F. An adaptive stress response that confers cellular resilience to decreased ubiquitination. Nat Commun 2023; 14:7348. [PMID: 37963875 PMCID: PMC10646096 DOI: 10.1038/s41467-023-43262-7] [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: 05/08/2023] [Accepted: 11/02/2023] [Indexed: 11/16/2023] Open
Abstract
Ubiquitination is a post-translational modification initiated by the E1 enzyme UBA1, which transfers ubiquitin to ~35 E2 ubiquitin-conjugating enzymes. While UBA1 loss is cell lethal, it remains unknown how partial reduction in UBA1 activity is endured. Here, we utilize deep-coverage mass spectrometry to define the E1-E2 interactome and to determine the proteins that are modulated by knockdown of UBA1 and of each E2 in human cells. These analyses define the UBA1/E2-sensitive proteome and the E2 specificity in protein modulation. Interestingly, profound adaptations in peroxisomes and other organelles are triggered by decreased ubiquitination. While the cargo receptor PEX5 depends on its mono-ubiquitination for binding to peroxisomal proteins and importing them into peroxisomes, we find that UBA1/E2 knockdown induces the compensatory upregulation of other PEX proteins necessary for PEX5 docking to the peroxisomal membrane. Altogether, this study defines a homeostatic mechanism that sustains peroxisomal protein import in cells with decreased ubiquitination capacity.
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Affiliation(s)
- Liam C Hunt
- Department of Developmental Neurobiology, St. Jude Children's Research Hospital, 262 Danny Thomas Place, Memphis, TN, 38105, USA
- Department of Biology, Rhodes College, 2000 North Pkwy, Memphis, TN, 38112, USA
| | - Vishwajeeth Pagala
- Center for Proteomics and Metabolomics, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA
| | - Anna Stephan
- Department of Developmental Neurobiology, St. Jude Children's Research Hospital, 262 Danny Thomas Place, Memphis, TN, 38105, USA
| | - Boer Xie
- Center for Proteomics and Metabolomics, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA
| | - Kiran Kodali
- Center for Proteomics and Metabolomics, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA
| | - Kanisha Kavdia
- Center for Proteomics and Metabolomics, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA
| | - Yong-Dong Wang
- Department of Cell and Molecular Biology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA
| | - Abbas Shirinifard
- Department of Developmental Neurobiology, St. Jude Children's Research Hospital, 262 Danny Thomas Place, Memphis, TN, 38105, USA
| | - Michelle Curley
- Department of Developmental Neurobiology, St. Jude Children's Research Hospital, 262 Danny Thomas Place, Memphis, TN, 38105, USA
| | - Flavia A Graca
- Department of Developmental Neurobiology, St. Jude Children's Research Hospital, 262 Danny Thomas Place, Memphis, TN, 38105, USA
| | - Yingxue Fu
- Center for Proteomics and Metabolomics, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA
| | - Suresh Poudel
- Center for Proteomics and Metabolomics, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA
| | - Yuxin Li
- Center for Proteomics and Metabolomics, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA
| | - Xusheng Wang
- Center for Proteomics and Metabolomics, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA
| | - Haiyan Tan
- Center for Proteomics and Metabolomics, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA
| | - Junmin Peng
- Department of Developmental Neurobiology, St. Jude Children's Research Hospital, 262 Danny Thomas Place, Memphis, TN, 38105, USA
- Center for Proteomics and Metabolomics, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA
- Department of Structural Biology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA
| | - Fabio Demontis
- Department of Developmental Neurobiology, St. Jude Children's Research Hospital, 262 Danny Thomas Place, Memphis, TN, 38105, USA.
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85
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Aggarwal G, Malmstrom TK, Morley JE, Miller DK, Nguyen AD, Butler AA. Low circulating adropin levels in late-middle aged African Americans with poor cognitive performance. NPJ Aging 2023; 9:24. [PMID: 37945652 PMCID: PMC10636045 DOI: 10.1038/s41514-023-00122-4] [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] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Accepted: 09/22/2023] [Indexed: 11/12/2023]
Abstract
We recently reported accelerated cognitive decline in Europeans aged > 70 years with low circulating adropin levels. Adropin is a small, secreted peptide that is highly expressed in the human nervous system. Expression profiling indicate relationships between adropin expression in the human brain and pathways that affect dementia risk. Moreover, increased adropin expression or treatment using synthetic adropin improves cognition in mouse models of aging. Here we report that low circulating adropin concentrations associate with poor cognition (worst quintile for a composite score derived from the MMSE and semantic fluency test) in late-middle aged community-dwelling African Americans (OR = 0.775, P < 0.05; age range 45-65 y, n = 352). The binomial logistic regression controlled for sex, age, education, cardiometabolic disease risk indicators, and obesity. Previous studies using cultured cells from the brains of human donors suggest high expression in astrocytes. In snRNA-seq data from the middle temporal gyrus (MTG) of human donors, adropin expression is higher in astrocytes relative to other cell types. Adropin expression in all cell-types declines with advance age, but is not affected by dementia status. In cultured human astrocytes, adropin expression also declines with donor age. Additional analysis indicated positive correlations between adropin and transcriptomic signatures of energy metabolism and protein synthesis that are adversely affected by donor age. Adropin expression is also suppressed by pro-inflammatory factors. Collectively, these data indicate low circulating adropin levels are a potential early risk indicator of cognitive impairment. Declining adropin expression in the brain is a plausible link between aging, neuroinflammation, and risk of cognitive decline.
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Affiliation(s)
- Geetika Aggarwal
- Division of Geriatric Medicine, Department of Internal Medicine, Saint Louis University School of Medicine, St. Louis, MO, USA
- Institute for Translational Neuroscience, Saint Louis University, St. Louis, MO, USA
- Department of Pharmacology and Physiology, Saint Louis University School of Medicine, St. Louis, MO, USA
| | - Theodore K Malmstrom
- Institute for Translational Neuroscience, Saint Louis University, St. Louis, MO, USA
- Department of Psychiatry and Behavioral Neuroscience, Saint Louis University School of Medicine, St. Louis, MO, USA
| | - John E Morley
- Division of Geriatric Medicine, Department of Internal Medicine, Saint Louis University School of Medicine, St. Louis, MO, USA
| | | | - Andrew D Nguyen
- Division of Geriatric Medicine, Department of Internal Medicine, Saint Louis University School of Medicine, St. Louis, MO, USA
- Institute for Translational Neuroscience, Saint Louis University, St. Louis, MO, USA
- Department of Pharmacology and Physiology, Saint Louis University School of Medicine, St. Louis, MO, USA
| | - Andrew A Butler
- Institute for Translational Neuroscience, Saint Louis University, St. Louis, MO, USA.
- Department of Pharmacology and Physiology, Saint Louis University School of Medicine, St. Louis, MO, USA.
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86
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Stillman JM, Mendes Lopes F, Lin JP, Hu K, Reich DS, Schafer DP. Lipofuscin-like autofluorescence within microglia and its impact on studying microglial engulfment. Nat Commun 2023; 14:7060. [PMID: 37923732 PMCID: PMC10624656 DOI: 10.1038/s41467-023-42809-y] [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: 01/16/2023] [Accepted: 10/23/2023] [Indexed: 11/06/2023] Open
Abstract
Engulfment of cellular material and proteins is a key function for microglia, a resident macrophage of the central nervous system (CNS). Among the techniques used to measure microglial engulfment, confocal light microscopy has been used the most extensively. Here, we show that autofluorescence (AF) likely due to lipofuscin (lipo-AF) and typically associated with aging, can also be detected within microglial lysosomes in the young mouse brain by light microscopy. This lipo-AF signal accumulates first within microglia and it occurs earliest in white versus gray matter. Importantly, in gray matter, lipo-AF signal can confound the interpretation of antibody-labeled synaptic material within microglia in young adult mice. We further show that there is an age-dependent accumulation of lipo-AF inside and outside of microglia, which is not affected by amyloid plaques. We finally implement a robust and cost-effective strategy to quench AF in mouse, marmoset, and human brain tissue.
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Affiliation(s)
- Jacob M Stillman
- Department of Neurobiology, Brudnick Neuropsychiatric Research Institute, University of Massachusetts Chan Medical School, Worcester, MA, 01605, USA
- University of Massachusetts Chan Morningside Graduate School of Biomedical Sciences, Neuroscience Program, Worcester, MA, USA
| | - Francisco Mendes Lopes
- Department of Neurobiology, Brudnick Neuropsychiatric Research Institute, University of Massachusetts Chan Medical School, Worcester, MA, 01605, USA
| | - Jing-Ping Lin
- Translational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Kevin Hu
- Translational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Daniel S Reich
- Translational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Dorothy P Schafer
- Department of Neurobiology, Brudnick Neuropsychiatric Research Institute, University of Massachusetts Chan Medical School, Worcester, MA, 01605, USA.
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87
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Kearns NA, Iatrou A, Flood DJ, De Tissera S, Mullaney ZM, Xu J, Gaiteri C, Bennett DA, Wang Y. Dissecting the human leptomeninges at single-cell resolution. Nat Commun 2023; 14:7036. [PMID: 37923721 PMCID: PMC10624900 DOI: 10.1038/s41467-023-42825-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: 02/02/2023] [Accepted: 10/23/2023] [Indexed: 11/06/2023] Open
Abstract
Emerging evidence shows that the meninges conduct essential immune surveillance and immune defense at the brain border, and the dysfunction of meningeal immunity contributes to aging and neurodegeneration. However, no study exists on the molecular properties of cell types within human leptomeninges. Here, we provide single nuclei profiling of dissected postmortem leptomeninges from aged individuals. We detect diverse cell types, including unique meningeal endothelial, mural, and fibroblast subtypes. For immune cells, we show that most T cells express CD8 and bear characteristics of tissue-resident memory T cells. We also identify distinct subtypes of border-associated macrophages (BAMs) that display differential gene expressions from microglia and express risk genes for Alzheimer's Disease (AD), as nominated by genome-wide association studies (GWAS). We discover cell-type-specific differentially expressed genes in individuals with Alzheimer's dementia, particularly in fibroblasts and BAMs. Indeed, when cultured, leptomeningeal cells display the signature of ex vivo AD fibroblasts upon amyloid-β treatment. We further explore ligand-receptor interactions within the leptomeningeal niche and computationally infer intercellular communications in AD. Thus, our study establishes a molecular map of human leptomeningeal cell types, providing significant insight into the border immune and fibrotic responses in AD.
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Affiliation(s)
- Nicola A Kearns
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, 60612, USA
| | - Artemis Iatrou
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, 60612, USA
- Department of Psychiatry, McLean Hospital, Harvard Medical School, Belmont, MA, 02478, USA
| | - Daniel J Flood
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, 60612, USA
| | - Sashini De Tissera
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, 60612, USA
| | - Zachary M Mullaney
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, 60612, USA
| | - Jishu Xu
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, 60612, USA
| | - Chris Gaiteri
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, 60612, USA
- Department of Psychiatry, Upstate Medical University, Syracuse, NY, 13210, USA
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, 60612, USA
| | - Yanling Wang
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, 60612, USA.
- Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, 60612, USA.
- Rush Graduate College, Rush University, Chicago IL, 60612, USA.
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88
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Min Y, Wang X, İş Ö, Patel TA, Gao J, Reddy JS, Quicksall ZS, Nguyen T, Lin S, Tutor-New FQ, Chalk JL, Mitchell AO, Crook JE, Nelson PT, Van Eldik LJ, Golde TE, Carrasquillo MM, Dickson DW, Zhang K, Allen M, Ertekin-Taner N. Cross species systems biology discovers glial DDR2, STOM, and KANK2 as therapeutic targets in progressive supranuclear palsy. Nat Commun 2023; 14:6801. [PMID: 37919278 PMCID: PMC10622416 DOI: 10.1038/s41467-023-42626-3] [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: 12/07/2022] [Accepted: 10/17/2023] [Indexed: 11/04/2023] Open
Abstract
Progressive supranuclear palsy (PSP) is a neurodegenerative parkinsonian disorder characterized by cell-type-specific tau lesions in neurons and glia. Prior work uncovered transcriptome changes in human PSP brains, although their cell-specificity is unknown. Further, systematic data integration and experimental validation platforms to prioritize brain transcriptional perturbations as therapeutic targets in PSP are currently lacking. In this study, we combine bulk tissue (n = 408) and single nucleus RNAseq (n = 34) data from PSP and control brains with transcriptome data from a mouse tauopathy and experimental validations in Drosophila tau models for systematic discovery of high-confidence expression changes in PSP with therapeutic potential. We discover, replicate, and annotate thousands of differentially expressed genes in PSP, many of which reside in glia-enriched co-expression modules and cells. We prioritize DDR2, STOM, and KANK2 as promising therapeutic targets in PSP with striking cross-species validations. We share our findings and data via our interactive application tool PSP RNAseq Atlas ( https://rtools.mayo.edu/PSP_RNAseq_Atlas/ ). Our findings reveal robust glial transcriptome changes in PSP, provide a cross-species systems biology approach, and a tool for therapeutic target discoveries in PSP with potential application in other neurodegenerative diseases.
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Affiliation(s)
- Yuhao Min
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA
- Center for Clinical and Translational Science, Mayo Clinic, Rochester, MN, USA
- Mayo Clinic Graduate School of Biomedical Sciences, Mayo Clinic, Jacksonville, FL, USA
| | - Xue Wang
- Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL, USA
| | - Özkan İş
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA
| | - Tulsi A Patel
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA
| | - Junli Gao
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA
| | - Joseph S Reddy
- Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL, USA
| | - Zachary S Quicksall
- Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL, USA
| | - Thuy Nguyen
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA
| | - Shu Lin
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA
| | | | - Jessica L Chalk
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA
| | | | - Julia E Crook
- Center for Clinical and Translational Science, Mayo Clinic, Rochester, MN, USA
| | - Peter T Nelson
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA
- Department of Pathology & Laboratory Medicine, University of Kentucky, Lexington, KY, USA
| | - Linda J Van Eldik
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA
- Department of Neuroscience, University of Kentucky, Lexington, KY, USA
| | - Todd E Golde
- Department of Pharmacology and Chemical Biology, Department of Neurology, Emory Center for Neurodegenerative Disease, Emory University, Atlanta, GA, USA
| | | | | | - Ke Zhang
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA
| | - Mariet Allen
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA
| | - Nilüfer Ertekin-Taner
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA.
- Department of Neurology, Mayo Clinic, Jacksonville, FL, USA.
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89
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Silva-García CG, Láscarez-Lagunas LI, Papsdorf K, Heintz C, Prabhakar A, Morrow CS, Pajuelo Torres L, Sharma A, Liu J, Colaiácovo MP, Brunet A, Mair WB. The CRTC-1 transcriptional domain is required for COMPASS complex-mediated longevity in C. elegans. Nat Aging 2023; 3:1358-1371. [PMID: 37946042 PMCID: PMC10645585 DOI: 10.1038/s43587-023-00517-8] [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] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Accepted: 09/28/2023] [Indexed: 11/12/2023]
Abstract
Loss of function during aging is accompanied by transcriptional drift, altering gene expression and contributing to a variety of age-related diseases. CREB-regulated transcriptional coactivators (CRTCs) have emerged as key regulators of gene expression that might be targeted to promote longevity. Here we define the role of the Caenorhabditis elegans CRTC-1 in the epigenetic regulation of longevity. Endogenous CRTC-1 binds chromatin factors, including components of the COMPASS complex, which trimethylates lysine 4 on histone H3 (H3K4me3). CRISPR editing of endogenous CRTC-1 reveals that the CREB-binding domain in neurons is specifically required for H3K4me3-dependent longevity. However, this effect is independent of CREB but instead acts via the transcription factor AP-1. Strikingly, CRTC-1 also mediates global histone acetylation levels, and this acetylation is essential for H3K4me3-dependent longevity. Indeed, overexpression of an acetyltransferase enzyme is sufficient to promote longevity in wild-type worms. CRTCs, therefore, link energetics to longevity by critically fine-tuning histone acetylation and methylation to promote healthy aging.
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Affiliation(s)
- Carlos G Silva-García
- Department of Molecular Metabolism, Harvard T. H. Chan School of Public Health, Harvard University, Boston, MA, USA
- Center on the Biology of Aging, Brown University, Providence, RI, USA
- Department of Molecular Biology, Cell Biology, and Biochemistry, Brown University, Providence, RI, USA
| | | | | | - Caroline Heintz
- Department of Molecular Metabolism, Harvard T. H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Aditi Prabhakar
- Department of Molecular Metabolism, Harvard T. H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Christopher S Morrow
- Department of Molecular Metabolism, Harvard T. H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Lourdes Pajuelo Torres
- Department of Molecular Metabolism, Harvard T. H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Arpit Sharma
- Department of Molecular Metabolism, Harvard T. H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Jihe Liu
- Harvard Chan Bioinformatics Core, Harvard T. H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Monica P Colaiácovo
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, USA
| | - Anne Brunet
- Department of Genetics, Stanford University, Stanford, CA, USA
- Glenn Center for the Biology of Aging, Stanford University, Stanford, CA, USA
| | - William B Mair
- Department of Molecular Metabolism, Harvard T. H. Chan School of Public Health, Harvard University, Boston, MA, USA.
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90
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Shi S, Wang K, Ugai T, Giannakis M, Cazaubiel J, Chan AT, Giovannucci EL, Nowak JA, Meyerhardt JA, Ogino S, Song M. Vitamin C intake and colorectal cancer survival according to KRAS and BRAF mutation: a prospective study in two US cohorts. Br J Cancer 2023; 129:1793-1800. [PMID: 37775523 PMCID: PMC10667518 DOI: 10.1038/s41416-023-02452-2] [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: 06/02/2023] [Revised: 09/13/2023] [Accepted: 09/20/2023] [Indexed: 10/01/2023] Open
Abstract
BACKGROUND The associations of vitamin C intake with colorectal cancer (CRC) survival according to tumour KRAS or BRAF mutation status remain unclear. METHODS We used the inverse probability weighted multivariable Cox proportional hazards regression model to calculate the hazard ratio (HR) of mortality, and spline analysis to evaluate the dose-response relationship in the Nurses' Health Study and Health Professionals Follow-up Study. We also assessed SLC2A1 mRNA expression according to KRAS or BRAF mutation in the TCGA database. RESULTS During an average of 12.0 years of follow-up, we documented 2,096 CRC cases, of which 703 cases had KRAS and BRAF mutation data. The association between total vitamin C intake and CRC-specific mortality suggestively differed according to KRAS or BRAF mutation status (Pinteraction = 0.04), with the multivariable HR (95% CI) per 400 mg/day increase in vitamin C intake for CRC-specific mortality of 1.07 (0.87-1.32, Ptrend = 0.52) in cases with both wild type and 0.74 (0.55-1.00, Ptrend < 0.05) in cases with either KRAS or BRAF mutant type. TCGA analysis showed a higher mRNA SLC2A1 expression in KRAS or BRAF-mutated tumours than in wild-type tumours (P = 0.02). CONCLUSION Our findings support the laboratory evidence for a potential benefit of vitamin C for CRC patients with KRAS or BRAF mutated tumours.
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Affiliation(s)
- Shanshan Shi
- Department of Pathology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Kai Wang
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Tomotaka Ugai
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA, USA
| | - Marios Giannakis
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA
- Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Jules Cazaubiel
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA
| | - Andrew T Chan
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Division of Gastroenterology, Massachusetts General Hospital, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA, USA
| | - Edward L Giovannucci
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Jonathan A Nowak
- Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA, USA
| | - Jeffrey A Meyerhardt
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA
| | - Shuji Ogino
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Mingyang Song
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
- Division of Gastroenterology, Massachusetts General Hospital, Boston, MA, USA.
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
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91
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Bellfy L, Smies CW, Bernhardt AR, Bodinayake KK, Sebastian A, Stuart EM, Wright DS, Lo CY, Murakami S, Boyd HM, von Abo MJ, Albert I, Kwapis JL. The clock gene Per1 may exert diurnal control over hippocampal memory consolidation. Neuropsychopharmacology 2023; 48:1789-1797. [PMID: 37264172 PMCID: PMC10579262 DOI: 10.1038/s41386-023-01616-1] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Revised: 05/17/2023] [Accepted: 05/19/2023] [Indexed: 06/03/2023]
Abstract
The circadian system influences many different biological processes, including memory performance. While the suprachiasmatic nucleus (SCN) functions as the brain's central pacemaker, downstream "satellite clocks" may also regulate local functions based on the time of day. Within the dorsal hippocampus (DH), for example, local molecular oscillations may contribute to time-of-day effects on memory. Here, we used the hippocampus-dependent Object Location Memory task to determine how memory is regulated across the day/night cycle in mice. First, we systematically determined which phase of memory (acquisition, consolidation, or retrieval) is modulated across the 24 h day. We found that mice show better long-term memory performance during the day than at night, an effect that was specifically attributed to diurnal changes in memory consolidation, as neither memory acquisition nor memory retrieval fluctuated across the day/night cycle. Using RNA-sequencing we identified the circadian clock gene Period1 (Per1) as a key mechanism capable of supporting this diurnal fluctuation in memory consolidation, as learning-induced Per1 oscillates in tandem with memory performance in the hippocampus. We then show that local knockdown of Per1 within the DH impairs spatial memory without affecting either the circadian rhythm or sleep behavior. Thus, Per1 may independently function within the DH to regulate memory in addition to its known role in regulating the circadian system within the SCN. Per1 may therefore exert local diurnal control over memory consolidation within the DH.
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Affiliation(s)
- Lauren Bellfy
- Department of Biology, Pennsylvania State University, University Park, PA, 16802, USA
- Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, PA, 16802, USA
| | - Chad W Smies
- Department of Biology, Pennsylvania State University, University Park, PA, 16802, USA
| | - Alicia R Bernhardt
- Department of Biology, Pennsylvania State University, University Park, PA, 16802, USA
| | - Kasuni K Bodinayake
- Department of Biology, Pennsylvania State University, University Park, PA, 16802, USA
| | - Aswathy Sebastian
- Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, PA, 16802, USA
| | - Emily M Stuart
- Department of Biology, Pennsylvania State University, University Park, PA, 16802, USA
| | - Destiny S Wright
- Department of Biology, Pennsylvania State University, University Park, PA, 16802, USA
| | - Chen-Yu Lo
- Department of Biology, Pennsylvania State University, University Park, PA, 16802, USA
| | - Shoko Murakami
- Department of Biology, Pennsylvania State University, University Park, PA, 16802, USA
| | - Hannah M Boyd
- Department of Biology, Pennsylvania State University, University Park, PA, 16802, USA
- Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, PA, 16802, USA
| | - Megan J von Abo
- Department of Biology, Pennsylvania State University, University Park, PA, 16802, USA
| | - Istvan Albert
- Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, PA, 16802, USA
- Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA, 16802, USA
| | - Janine L Kwapis
- Department of Biology, Pennsylvania State University, University Park, PA, 16802, USA.
- Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, PA, 16802, USA.
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92
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Tyshkovskiy A, Zhang S, Gladyshev VN. Accelerated transcriptional elongation during aging impairs longevity. Cell Res 2023; 33:817-818. [PMID: 37253838 PMCID: PMC10624826 DOI: 10.1038/s41422-023-00829-9] [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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/01/2023] Open
Affiliation(s)
- Alexander Tyshkovskiy
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Sirui Zhang
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Vadim N Gladyshev
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
- Broad Institute, Cambridge, MA, USA.
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93
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Zhang P, Ma D, Cheng X, Tsai AP, Tang Y, Gao HC, Fang L, Bi C, Landreth GE, Chubykin AA, Huang F. Deep learning-driven adaptive optics for single-molecule localization microscopy. Nat Methods 2023; 20:1748-1758. [PMID: 37770712 PMCID: PMC10630144 DOI: 10.1038/s41592-023-02029-0] [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: 05/24/2022] [Accepted: 08/23/2023] [Indexed: 09/30/2023]
Abstract
The inhomogeneous refractive indices of biological tissues blur and distort single-molecule emission patterns generating image artifacts and decreasing the achievable resolution of single-molecule localization microscopy (SMLM). Conventional sensorless adaptive optics methods rely on iterative mirror changes and image-quality metrics. However, these metrics result in inconsistent metric responses and thus fundamentally limit their efficacy for aberration correction in tissues. To bypass iterative trial-then-evaluate processes, we developed deep learning-driven adaptive optics for SMLM to allow direct inference of wavefront distortion and near real-time compensation. Our trained deep neural network monitors the individual emission patterns from single-molecule experiments, infers their shared wavefront distortion, feeds the estimates through a dynamic filter and drives a deformable mirror to compensate sample-induced aberrations. We demonstrated that our method simultaneously estimates and compensates 28 wavefront deformation shapes and improves the resolution and fidelity of three-dimensional SMLM through >130-µm-thick brain tissue specimens.
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Affiliation(s)
- Peiyi Zhang
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA
| | - Donghan Ma
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA
- Davidson School of Chemical Engineering, Purdue University, West Lafayette, IN, USA
| | - Xi Cheng
- Department of Biological Sciences, Purdue University, West Lafayette, IN, USA
- Purdue Institute for Integrative Neuroscience, Purdue University, West Lafayette, IN, USA
| | - Andy P Tsai
- Stark Neurosciences Research Institute, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Yu Tang
- Department of Biological Sciences, Purdue University, West Lafayette, IN, USA
- Purdue Institute for Integrative Neuroscience, Purdue University, West Lafayette, IN, USA
| | - Hao-Cheng Gao
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA
| | - Li Fang
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA
| | - Cheng Bi
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA
| | - Gary E Landreth
- Stark Neurosciences Research Institute, Indiana University School of Medicine, Indianapolis, IN, USA.
- Department of Anatomy, Cell Biology and Physiology, Indiana University School of Medicine, Indianapolis, IN, USA.
| | - Alexander A Chubykin
- Department of Biological Sciences, Purdue University, West Lafayette, IN, USA.
- Purdue Institute for Integrative Neuroscience, Purdue University, West Lafayette, IN, USA.
| | - Fang Huang
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA.
- Purdue Institute for Integrative Neuroscience, Purdue University, West Lafayette, IN, USA.
- Purdue Institute of Inflammation, Immunology and Infectious Disease, Purdue University, West Lafayette, IN, USA.
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94
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Arnsten AFT, Ishizawa Y, Xie Z. Scientific rationale for the use of α2A-adrenoceptor agonists in treating neuroinflammatory cognitive disorders. Mol Psychiatry 2023; 28:4540-4552. [PMID: 37029295 PMCID: PMC10080530 DOI: 10.1038/s41380-023-02057-4] [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: 11/20/2022] [Revised: 03/22/2023] [Accepted: 03/24/2023] [Indexed: 04/09/2023]
Abstract
Neuroinflammatory disorders preferentially impair the higher cognitive and executive functions of the prefrontal cortex (PFC). This includes such challenging disorders as delirium, perioperative neurocognitive disorder, and the sustained cognitive deficits from "long-COVID" or traumatic brain injury. There are no FDA-approved treatments for these symptoms; thus, understanding their etiology is important for generating therapeutic strategies. The current review describes the molecular rationale for why PFC circuits are especially vulnerable to inflammation, and how α2A-adrenoceptor (α2A-AR) actions throughout the nervous and immune systems can benefit the circuits in PFC needed for higher cognition. The layer III circuits in the dorsolateral PFC (dlPFC) that generate and sustain the mental representations needed for higher cognition have unusual neurotransmission and neuromodulation. They are wholly dependent on NMDAR neurotransmission, with little AMPAR contribution, and thus are especially vulnerable to kynurenic acid inflammatory signaling which blocks NMDAR. Layer III dlPFC spines also have unusual neuromodulation, with cAMP magnification of calcium signaling in spines, which opens nearby potassium channels to rapidly weaken connectivity and reduce neuronal firing. This process must be tightly regulated, e.g. by mGluR3 or α2A-AR on spines, to prevent loss of firing. However, the production of GCPII inflammatory signaling reduces mGluR3 actions and markedly diminishes dlPFC network firing. Both basic and clinical studies show that α2A-AR agonists such as guanfacine can restore dlPFC network firing and cognitive function, through direct actions in the dlPFC, but also by reducing the activity of stress-related circuits, e.g. in the locus coeruleus and amygdala, and by having anti-inflammatory actions in the immune system. This information is particularly timely, as guanfacine is currently the focus of large clinical trials for the treatment of delirium, and in open label studies for the treatment of cognitive deficits from long-COVID.
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Affiliation(s)
- Amy F T Arnsten
- Department Neuroscience, Yale University School of Medicine, New Haven, CT, 056510, USA.
| | - Yumiko Ishizawa
- Department Anesthesiology, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA
| | - Zhongcong Xie
- Department Anesthesiology, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA
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95
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Bhagat R, Minaya MA, Renganathan A, Mehra M, Marsh J, Martinez R, Eteleeb AM, Nana AL, Spina S, Seeley WW, Grinberg LT, Karch CM. Long non-coding RNA SNHG8 drives stress granule formation in tauopathies. Mol Psychiatry 2023; 28:4889-4901. [PMID: 37730840 PMCID: PMC10914599 DOI: 10.1038/s41380-023-02237-2] [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: 02/28/2023] [Revised: 08/17/2023] [Accepted: 08/24/2023] [Indexed: 09/22/2023]
Abstract
Tauopathies are a heterogenous group of neurodegenerative disorders characterized by tau aggregation in the brain. In a subset of tauopathies, rare mutations in the MAPT gene, which encodes the tau protein, are sufficient to cause disease; however, the events downstream of MAPT mutations are poorly understood. Here, we investigate the role of long non-coding RNAs (lncRNAs), transcripts >200 nucleotides with low/no coding potential that regulate transcription and translation, and their role in tauopathy. Using stem cell derived neurons from patients carrying a MAPT p.P301L, IVS10 + 16, or p.R406W mutation and CRISPR-corrected isogenic controls, we identified transcriptomic changes that occur as a function of the MAPT mutant allele. We identified 15 lncRNAs that were commonly differentially expressed across the three MAPT mutations. The commonly differentially expressed lncRNAs interact with RNA-binding proteins that regulate stress granule formation. Among these lncRNAs, SNHG8 was significantly reduced in a mouse model of tauopathy and in FTLD-tau, progressive supranuclear palsy, and Alzheimer's disease brains. We show that SNHG8 interacts with tau and stress granule-associated RNA-binding protein TIA1. Overexpression of mutant tau in vitro is sufficient to reduce SNHG8 expression and induce stress granule formation. Rescuing SNHG8 expression leads to reduced stress granule formation and reduced TIA1 levels in immortalized cells and in MAPT mutant neurons, suggesting that dysregulation of this non-coding RNA is a causal factor driving stress granule formation via TIA1 in tauopathies.
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Affiliation(s)
- Reshma Bhagat
- Department of Psychiatry, Washington University in St Louis, St Louis, MO, USA
| | - Miguel A Minaya
- Department of Psychiatry, Washington University in St Louis, St Louis, MO, USA
| | - Arun Renganathan
- Department of Psychiatry, Washington University in St Louis, St Louis, MO, USA
| | - Muneshwar Mehra
- Department of Neuroscience, Washington University in St Louis, St Louis, MO, USA
| | - Jacob Marsh
- Department of Psychiatry, Washington University in St Louis, St Louis, MO, USA
| | - Rita Martinez
- Department of Psychiatry, Washington University in St Louis, St Louis, MO, USA
| | - Abdallah M Eteleeb
- Department of Psychiatry, Washington University in St Louis, St Louis, MO, USA
| | - Alissa L Nana
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Salvatore Spina
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - William W Seeley
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
- Department of Pathology, University of California, San Francisco, San Francisco, CA, USA
| | - Lea T Grinberg
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
- Department of Pathology, University of California, San Francisco, San Francisco, CA, USA
- Department of Pathology, University of Sao Paulo, São Paulo, Brazil
| | - Celeste M Karch
- Department of Psychiatry, Washington University in St Louis, St Louis, MO, USA.
- Knight Alzheimer Disease Research Center, Washington University in St Louis, St Louis, MO, USA.
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96
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Hasegawa Y, Kim J, Ursini G, Jouroukhin Y, Zhu X, Miyahara Y, Xiong F, Madireddy S, Obayashi M, Lutz B, Sawa A, Brown SP, Pletnikov MV, Kamiya A. Microglial cannabinoid receptor type 1 mediates social memory deficits in mice produced by adolescent THC exposure and 16p11.2 duplication. Nat Commun 2023; 14:6559. [PMID: 37880248 PMCID: PMC10600150 DOI: 10.1038/s41467-023-42276-5] [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: 03/13/2022] [Accepted: 10/04/2023] [Indexed: 10/27/2023] Open
Abstract
Adolescent cannabis use increases the risk for cognitive impairments and psychiatric disorders. Cannabinoid receptor type 1 (Cnr1) is expressed not only in neurons and astrocytes, but also in microglia, which shape synaptic connections during adolescence. However, the role of microglia in mediating the adverse cognitive effects of delta-9-tetrahydrocannabinol (THC), the principal psychoactive constituent of cannabis, is not fully understood. Here, we report that in mice, adolescent THC exposure produces microglial apoptosis in the medial prefrontal cortex (mPFC), which was exacerbated in a model of 16p11.2 duplication, a representative copy number variation (CNV) risk factor for psychiatric disorders. These effects are mediated by microglial Cnr1, leading to reduction in the excitability of mPFC pyramidal-tract neurons and deficits in social memory in adulthood. Our findings suggest the microglial Cnr1 may contribute to adverse effect of cannabis exposure in genetically vulnerable individuals.
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Affiliation(s)
- Yuto Hasegawa
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Juhyun Kim
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Korea Brain Research Institute, Daegu, Republic of Korea
| | - Gianluca Ursini
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA
| | - Yan Jouroukhin
- Department of Physiology and Biophysics, Jacobs School of Medicine and Biomedical Sciences SUNY, University at Buffalo, Buffalo, NY, USA
| | - Xiaolei Zhu
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Yu Miyahara
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Feiyi Xiong
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Samskruthi Madireddy
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Mizuho Obayashi
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Beat Lutz
- Institute of Physiological Chemistry, University Medical Center of the Johannes Gutenberg University, Mainz, Germany
- Leibniz Institute for Resilience Research (LIR) gGmbH, Mainz, Germany
| | - Akira Sawa
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Pharmacology and Molecular Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Mental Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - Solange P Brown
- Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Kavli Neuroscience Discovery Institute, Johns Hopkins University, Baltimore, MD, USA
| | - Mikhail V Pletnikov
- Department of Physiology and Biophysics, Jacobs School of Medicine and Biomedical Sciences SUNY, University at Buffalo, Buffalo, NY, USA.
| | - Atsushi Kamiya
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
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97
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Gu Z, Jamison K, Sabuncu MR, Kuceyeski A. Human brain responses are modulated when exposed to optimized natural images or synthetically generated images. Commun Biol 2023; 6:1076. [PMID: 37872319 PMCID: PMC10593916 DOI: 10.1038/s42003-023-05440-7] [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: 05/10/2023] [Accepted: 10/10/2023] [Indexed: 10/25/2023] Open
Abstract
Understanding how human brains interpret and process information is important. Here, we investigated the selectivity and inter-individual differences in human brain responses to images via functional MRI. In our first experiment, we found that images predicted to achieve maximal activations using a group level encoding model evoke higher responses than images predicted to achieve average activations, and the activation gain is positively associated with the encoding model accuracy. Furthermore, anterior temporal lobe face area (aTLfaces) and fusiform body area 1 had higher activation in response to maximal synthetic images compared to maximal natural images. In our second experiment, we found that synthetic images derived using a personalized encoding model elicited higher responses compared to synthetic images from group-level or other subjects' encoding models. The finding of aTLfaces favoring synthetic images than natural images was also replicated. Our results indicate the possibility of using data-driven and generative approaches to modulate macro-scale brain region responses and probe inter-individual differences in and functional specialization of the human visual system.
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Affiliation(s)
- Zijin Gu
- School of Electrical and Computer Engineering, Cornell University and Cornell Tech, New York, NY, USA
| | - Keith Jamison
- Department of Radiology, Weill Cornell Medicine, New York, NY, USA
| | - Mert R Sabuncu
- School of Electrical and Computer Engineering, Cornell University and Cornell Tech, New York, NY, USA
- Department of Radiology, Weill Cornell Medicine, New York, NY, USA
| | - Amy Kuceyeski
- Department of Radiology, Weill Cornell Medicine, New York, NY, USA.
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98
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McGee JP, Su P, Durbin KR, Hollas MAR, Bateman NW, Maxwell GL, Conrads TP, Fellers RT, Melani RD, Camarillo JM, Kafader JO, Kelleher NL. Automated imaging and identification of proteoforms directly from ovarian cancer tissue. Nat Commun 2023; 14:6478. [PMID: 37838706 PMCID: PMC10576781 DOI: 10.1038/s41467-023-42208-3] [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: 02/21/2023] [Accepted: 09/28/2023] [Indexed: 10/16/2023] Open
Abstract
The molecular identification of tissue proteoforms by top-down mass spectrometry (TDMS) is significantly limited by throughput and dynamic range. We introduce AutoPiMS, a single-ion MS based multiplexed workflow for top-down tandem MS (MS2) directly from tissue microenvironments in a semi-automated manner. AutoPiMS directly off human ovarian cancer sections allowed for MS2 identification of 73 proteoforms up to 54 kDa at a rate of <1 min per proteoform. AutoPiMS is directly interfaced with multifaceted proteoform imaging MS data modalities for the identification of proteoform signatures in tumor and stromal regions in ovarian cancer biopsies. From a total of ~1000 proteoforms detected by region-of-interest label-free quantitation, we discover 303 differential proteoforms in stroma versus tumor from the same patient. 14 of the top proteoform signatures are corroborated by MSI at 20 micron resolution including the differential localization of methylated forms of CRIP1, indicating the importance of proteoform-enabled spatial biology in ovarian cancer.
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Affiliation(s)
- John P McGee
- Departments of Molecular Biosciences, Chemistry, and the Feinberg School of Medicine, Northwestern University, Evanston, IL, USA
| | - Pei Su
- Departments of Molecular Biosciences, Chemistry, and the Feinberg School of Medicine, Northwestern University, Evanston, IL, USA
| | | | | | - Nicholas W Bateman
- Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc, Bethesda, MD, USA
- Department of Gynecologic Surgery and Obstetrics and the Gynecologic Cancer Center of Excellence, John P. Murtha Cancer Center, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - G Larry Maxwell
- Department of Gynecologic Surgery and Obstetrics and the Gynecologic Cancer Center of Excellence, John P. Murtha Cancer Center, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
- Women's Health Integrated Research Center, Inova Women's Service Line, Inova Health System, Falls Church, VA, USA
| | - Thomas P Conrads
- Department of Gynecologic Surgery and Obstetrics and the Gynecologic Cancer Center of Excellence, John P. Murtha Cancer Center, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
- Women's Health Integrated Research Center, Inova Women's Service Line, Inova Health System, Falls Church, VA, USA
| | | | - Rafael D Melani
- Departments of Molecular Biosciences, Chemistry, and the Feinberg School of Medicine, Northwestern University, Evanston, IL, USA
| | - Jeannie M Camarillo
- Departments of Molecular Biosciences, Chemistry, and the Feinberg School of Medicine, Northwestern University, Evanston, IL, USA
- Department of Biochemistry and Molecular Genetics, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Jared O Kafader
- Departments of Molecular Biosciences, Chemistry, and the Feinberg School of Medicine, Northwestern University, Evanston, IL, USA
- Department of Biochemistry and Molecular Genetics, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Neil L Kelleher
- Departments of Molecular Biosciences, Chemistry, and the Feinberg School of Medicine, Northwestern University, Evanston, IL, USA.
- Proteomics Center of Excellence, Evanston, IL, USA.
- Department of Biochemistry and Molecular Genetics, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
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99
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Xu A, Teefy BB, Lu RJ, Nozownik S, Tyers AM, Valenzano DR, Benayoun BA. Transcriptomes of aging brain, heart, muscle, and spleen from female and male African turquoise killifish. Sci Data 2023; 10:695. [PMID: 37828039 PMCID: PMC10570339 DOI: 10.1038/s41597-023-02609-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: 06/21/2023] [Accepted: 09/28/2023] [Indexed: 10/14/2023] Open
Abstract
The African turquoise killifish is an emerging vertebrate model organism with great potential for aging research due to its naturally short lifespan. Thus far, turquoise killifish aging 'omic' studies have examined a single organ, single sex and/or evaluated samples from non-reference strains. Here, we describe a resource dataset of ribosomal RNA-depleted RNA-seq libraries generated from the brain, heart, muscle, and spleen from both sexes, as well as young and old animals, in the reference GRZ turquoise killifish strain. We provide basic quality control steps and demonstrate the utility of our dataset by performing differential gene expression and gene ontology analyses by age and sex. Importantly, we show that age has a greater impact than sex on transcriptional landscapes across probed tissues. Finally, we confirm transcription of transposable elements (TEs), which are highly abundant and increase in expression with age in brain tissue. This dataset will be a useful resource for exploring gene and TE expression as a function of both age and sex in a powerful naturally short-lived vertebrate model.
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Affiliation(s)
- Alan Xu
- Quantitative & Computational Biology Department, USC Dornsife College of Letters, Arts and Sciences, Los Angeles, CA, 90089, USA
- Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, 90089, USA
| | - Bryan B Teefy
- Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, 90089, USA
| | - Ryan J Lu
- Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, 90089, USA
- Graduate Program in the Biology of Aging, University of Southern California, Los Angeles, CA, USA
| | - Séverine Nozownik
- Unit of Forensic Genetics, University Center of Legal Medicine, Lausanne, Switzerland
| | - Alexandra M Tyers
- Max Planck Institute for Biology of Ageing, Joseph-Stelzmann Strasse 9b, 50931, Cologne, Germany
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, Vairão, Portugal
| | - Dario R Valenzano
- Max Planck Institute for Biology of Ageing, Joseph-Stelzmann Strasse 9b, 50931, Cologne, Germany
| | - Bérénice A Benayoun
- Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, 90089, USA.
- Molecular and Computational Biology Department, USC Dornsife College of Letters, Arts and Sciences, Los Angeles, CA, 90089, USA.
- Biochemistry and Molecular Medicine Department, USC Keck School of Medicine, Los Angeles, CA, 90089, USA.
- USC Norris Comprehensive Cancer Center, Epigenetics and Gene Regulation, Los Angeles, CA, 90089, USA.
- USC Stem Cell Initiative, Los Angeles, CA, 90089, USA.
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100
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Hasani S, Young LEA, Van Nort W, Banerjee M, Rivas DR, Kim J, Xiong X, Sun RC, Gentry MS, Sesaki H, Gao T. Inhibition of mitochondrial fission activates glycogen synthesis to support cell survival in colon cancer. Cell Death Dis 2023; 14:664. [PMID: 37816729 PMCID: PMC10564897 DOI: 10.1038/s41419-023-06202-3] [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: 05/03/2023] [Revised: 09/21/2023] [Accepted: 09/28/2023] [Indexed: 10/12/2023]
Abstract
Metabolic reprogramming has been recognized as one of the major mechanisms that fuel tumor initiation and progression. Our previous studies demonstrate that activation of Drp1 promotes fatty acid oxidation and downstream Wnt signaling. Here we investigate the role of Drp1 in regulating glycogen metabolism in colon cancer. Knockdown of Drp1 decreases mitochondrial respiration without increasing glycolysis. Analysis of cellular metabolites reveals that the levels of glucose-6-phosphate, a precursor for glycogenesis, are significantly elevated whereas pyruvate and other TCA cycle metabolites remain unchanged in Drp1 knockdown cells. Additionally, silencing Drp1 activates AMPK to stimulate the expression glycogen synthase 1 (GYS1) mRNA and promote glycogen storage. Using 3D organoids from Apcf/f/Villin-CreERT2 models, we show that glycogen levels are elevated in tumor organoids upon genetic deletion of Drp1. Similarly, increased GYS1 expression and glycogen accumulation are detected in xenograft tumors derived from Drp1 knockdown colon cancer cells. Functionally, increased glycogen storage provides survival advantage to Drp1 knockdown cells. Co-targeting glycogen phosphorylase-mediated glycogenolysis sensitizes Drp1 knockdown cells to chemotherapy drug treatment. Taken together, our results suggest that Drp1-loss activates glucose uptake and glycogenesis as compensative metabolic pathways to promote cell survival. Combined inhibition of glycogen metabolism may enhance the efficacy of chemotherapeutic agents for colon cancer treatment.
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Affiliation(s)
- Sumati Hasani
- Department of Molecular and Cellular Biochemistry, University of Kentucky, Lexington, KY, USA
| | - Lyndsay E A Young
- Department of Molecular and Cellular Biochemistry, University of Kentucky, Lexington, KY, USA
| | - Warren Van Nort
- College of Agriculture, Food & Environment, University of Kentucky, Lexington, KY, USA
| | - Moumita Banerjee
- Markey Cancer Center, University of Kentucky, Lexington, KY 40536-0679, USA
| | - Dylan R Rivas
- Markey Cancer Center, University of Kentucky, Lexington, KY 40536-0679, USA
| | - Jinhwan Kim
- Markey Cancer Center, University of Kentucky, Lexington, KY 40536-0679, USA
| | - Xiaopeng Xiong
- Markey Cancer Center, University of Kentucky, Lexington, KY 40536-0679, USA
| | - Ramon C Sun
- Department of Biochemistry and Molecular Biology, University of Florida, Gainesville, FL, USA
| | - Matthew S Gentry
- Department of Biochemistry and Molecular Biology, University of Florida, Gainesville, FL, USA
| | - Hiromi Sesaki
- Department of Cell Biology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Tianyan Gao
- Department of Molecular and Cellular Biochemistry, University of Kentucky, Lexington, KY, USA.
- Markey Cancer Center, University of Kentucky, Lexington, KY 40536-0679, USA.
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