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Raue U, Begue G, Minchev K, Jemiolo B, Gries KJ, Chambers T, Rubenstein A, Zaslavsky E, Sealfon SC, Trappe T, Trappe S. Fast and slow muscle fiber transcriptome dynamics with lifelong endurance exercise. J Appl Physiol (1985) 2024; 136:244-261. [PMID: 38095016 DOI: 10.1152/japplphysiol.00442.2023] [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: 07/03/2023] [Revised: 10/24/2023] [Accepted: 12/05/2023] [Indexed: 01/26/2024] Open
Abstract
We investigated fast and slow muscle fiber transcriptome exercise dynamics among three groups of men: lifelong exercisers (LLE, n = 8, 74 ± 1 yr), old healthy nonexercisers (OH, n = 9, 75 ± 1 yr), and young exercisers (YE, n = 8, 25 ± 1 yr). On average, LLE had exercised ∼4 day·wk-1 for ∼8 h·wk-1 over 53 ± 2 years. Muscle biopsies were obtained pre- and 4 h postresistance exercise (3 × 10 knee extensions at 70% 1-RM). Fast and slow fiber size and function were assessed preexercise with fast and slow RNA-seq profiles examined pre- and postexercise. LLE fast fiber size was similar to OH, which was ∼30% smaller than YE (P < 0.05) with contractile function variables among groups, resulting in lower power in LLE (P < 0.05). LLE slow fibers were ∼30% larger and more powerful compared with YE and OH (P < 0.05). At the transcriptome level, fast fibers were more responsive to resistance exercise compared with slow fibers among all three cohorts (P < 0.05). Exercise induced a comprehensive biological response in fast fibers (P < 0.05) including transcription, signaling, skeletal muscle cell differentiation, and metabolism with vast differences among the groups. Fast fibers from YE exhibited a growth and metabolic signature, with LLE being primarily metabolic, and OH showing a strong stress-related response. In slow fibers, only LLE exhibited a biological response to exercise (P < 0.05), which was related to ketone and lipid metabolism. The divergent exercise transcriptome signatures provide novel insight into the molecular regulation in fast and slow fibers with age and exercise and suggest that the ∼5% weekly exercise time commitment of the lifelong exercisers provided a powerful investment for fast and slow muscle fiber metabolic health at the molecular level.NEW & NOTEWORTHY This study provides the first insights into fast and slow muscle fiber transcriptome dynamics with lifelong endurance exercise. The fast fibers were more responsive to exercise with divergent transcriptome signatures among young exercisers (growth and metabolic), lifelong exercisers (metabolic), and old healthy nonexercisers (stress). Only lifelong exercisers had a biological response in slow fibers (metabolic). These data provide novel insights into fast and slow muscle fiber health at the molecular level with age and exercise.
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Affiliation(s)
- Ulrika Raue
- Human Performance Laboratory, Ball State University, Muncie, Indiana, United States
| | - Gwenaelle Begue
- Human Performance Laboratory, Ball State University, Muncie, Indiana, United States
| | - Kiril Minchev
- Human Performance Laboratory, Ball State University, Muncie, Indiana, United States
| | - Bozena Jemiolo
- Human Performance Laboratory, Ball State University, Muncie, Indiana, United States
| | - Kevin J Gries
- Human Performance Laboratory, Ball State University, Muncie, Indiana, United States
| | - Toby Chambers
- Human Performance Laboratory, Ball State University, Muncie, Indiana, United States
| | - Aliza Rubenstein
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, New York, United States
| | - Elena Zaslavsky
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, New York, United States
| | - Stuart C Sealfon
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, New York, United States
| | - Todd Trappe
- Human Performance Laboratory, Ball State University, Muncie, Indiana, United States
| | - Scott Trappe
- Human Performance Laboratory, Ball State University, Muncie, Indiana, United States
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2
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Wang Y, Thistlethwaite W, Tadych A, Ruf-Zamojski F, Bernard DJ, Cappuccio A, Zaslavsky E, Chen X, Sealfon SC, Troyanskaya OG. Automated single-cell omics end-to-end framework with data-driven batch inference. bioRxiv 2023:2023.11.01.564815. [PMID: 37961197 PMCID: PMC10635042 DOI: 10.1101/2023.11.01.564815] [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] [Indexed: 11/15/2023]
Abstract
To facilitate single cell multi-omics analysis and improve reproducibility, we present SPEEDI (Single-cell Pipeline for End to End Data Integration), a fully automated end-to-end framework for batch inference, data integration, and cell type labeling. SPEEDI introduces data-driven batch inference and transforms the often heterogeneous data matrices obtained from different samples into a uniformly annotated and integrated dataset. Without requiring user input, it automatically selects parameters and executes pre-processing, sample integration, and cell type mapping. It can also perform downstream analyses of differential signals between treatment conditions and gene functional modules. SPEEDI's data-driven batch inference method works with widely used integration and cell-typing tools. By developing data-driven batch inference, providing full end-to-end automation, and eliminating parameter selection, SPEEDI improves reproducibility and lowers the barrier to obtaining biological insight from these valuable single-cell datasets. The SPEEDI interactive web application can be accessed at https://speedi.princeton.edu/.
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Affiliation(s)
- Yuan Wang
- Department of Computer Science, Princeton University, Princeton, NJ, USA
- Lewis-Sigler Institute of Integrative Genomics, Princeton University, Princeton, NJ, USA
- These authors contributed equally
| | - William Thistlethwaite
- Lewis-Sigler Institute of Integrative Genomics, Princeton University, Princeton, NJ, USA
- These authors contributed equally
| | - Alicja Tadych
- Lewis-Sigler Institute of Integrative Genomics, Princeton University, Princeton, NJ, USA
| | | | - Daniel J Bernard
- Department of Pharmacology and Therapeutics, McGill University, Montreal, QC, H3G 1Y6, Canada
| | - Antonio Cappuccio
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Elena Zaslavsky
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Xi Chen
- Lewis-Sigler Institute of Integrative Genomics, Princeton University, Princeton, NJ, USA
- Center for Computational Biology, Flatiron Institute, New York, NY, USA
| | - Stuart C. Sealfon
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Olga G. Troyanskaya
- Department of Computer Science, Princeton University, Princeton, NJ, USA
- Lewis-Sigler Institute of Integrative Genomics, Princeton University, Princeton, NJ, USA
- Center for Computational Biology, Flatiron Institute, New York, NY, USA
- Lead contact
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Meng H, Sengupta A, Ricciotti E, Mrčela A, Mathew D, Mazaleuskaya LL, Ghosh S, Brooks TG, Turner AP, Schanoski AS, Lahens NF, Tan AW, Woolfork A, Grant G, Susztak K, Letizia AG, Sealfon SC, Wherry EJ, Laudanski K, Weljie AM, Meyer NJ, FitzGerald GA. Deep phenotyping of the lipidomic response in COVID-19 and non-COVID-19 sepsis. Clin Transl Med 2023; 13:e1440. [PMID: 37948331 PMCID: PMC10637636 DOI: 10.1002/ctm2.1440] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Revised: 09/15/2023] [Accepted: 10/01/2023] [Indexed: 11/12/2023] Open
Abstract
BACKGROUND Lipids may influence cellular penetrance by viral pathogens and the immune response that they evoke. We deeply phenotyped the lipidomic response to SARs-CoV-2 and compared that with infection with other pathogens in patients admitted with acute respiratory distress syndrome to an intensive care unit (ICU). METHODS Mass spectrometry was used to characterise lipids and relate them to proteins, peripheral cell immunotypes and disease severity. RESULTS Circulating phospholipases (sPLA2, cPLA2 (PLA2G4A) and PLA2G2D) were elevated on admission in all ICU groups. Cyclooxygenase, lipoxygenase and epoxygenase products of arachidonic acid (AA) were elevated in all ICU groups compared with controls. sPLA2 predicted severity in COVID-19 and correlated with TxA2, LTE4 and the isoprostane, iPF2α-III, while PLA2G2D correlated with LTE4. The elevation in PGD2, like PGI2 and 12-HETE, exhibited relative specificity for COVID-19 and correlated with sPLA2 and the interleukin-13 receptor to drive lymphopenia, a marker of disease severity. Pro-inflammatory eicosanoids remained correlated with severity in COVID-19 28 days after admission. Amongst non-COVID ICU patients, elevations in 5- and 15-HETE and 9- and 13-HODE reflected viral rather than bacterial disease. Linoleic acid (LA) binds directly to SARS-CoV-2 and both LA and its di-HOME products reflected disease severity in COVID-19. In healthy marines, these lipids rose with seroconversion. Eicosanoids linked variably to the peripheral cellular immune response. PGE2, TxA2 and LTE4 correlated with T cell activation, as did PGD2 with non-B non-T cell activation. In COVID-19, LPS stimulated peripheral blood mononuclear cell PGF2α correlated with memory T cells, dendritic and NK cells while LA and DiHOMEs correlated with exhausted T cells. Three high abundance lipids - ChoE 18:3, LPC-O-16:0 and PC-O-30:0 - were altered specifically in COVID. LPC-O-16:0 was strongly correlated with T helper follicular cell activation and all three negatively correlated with multi-omic inflammatory pathways and disease severity. CONCLUSIONS A broad based lipidomic storm is a predictor of poor prognosis in ARDS. Alterations in sPLA2, PGD2 and 12-HETE and the high abundance lipids, ChoE 18:3, LPC-O-16:0 and PC-O-30:0 exhibit relative specificity for COVID-19 amongst such patients and correlate with the inflammatory response to link to disease severity.
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Affiliation(s)
- Hu Meng
- Institute for Translational Medicine and TherapeuticsPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Arjun Sengupta
- Department of Systems Pharmacology and Translational TherapeuticsPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Emanuela Ricciotti
- Institute for Translational Medicine and TherapeuticsPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
- Department of Systems Pharmacology and Translational TherapeuticsPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Antonijo Mrčela
- Institute for Translational Medicine and TherapeuticsPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Divij Mathew
- Department of Systems Pharmacology and Translational TherapeuticsPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
- Institute for Immunology and Immune HealthPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Liudmila L. Mazaleuskaya
- Institute for Translational Medicine and TherapeuticsPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Soumita Ghosh
- Institute for Translational Medicine and TherapeuticsPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Thomas G. Brooks
- Institute for Translational Medicine and TherapeuticsPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Alexandra P. Turner
- Department of MedicinePerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | | | - Nicholas F. Lahens
- Institute for Translational Medicine and TherapeuticsPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Ai Wen Tan
- Department of Systems Pharmacology and Translational TherapeuticsPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Ashley Woolfork
- Department of Systems Pharmacology and Translational TherapeuticsPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Greg Grant
- Institute for Translational Medicine and TherapeuticsPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
- Department of GeneticsPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Katalin Susztak
- Department of MedicinePerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Andrew G. Letizia
- Naval Medical Research CenterSilver SpringMarylandUSA
- Naval Medical Research Unit TWOSingaporeSingapore
| | - Stuart C. Sealfon
- Department of NeurologyIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - E. John Wherry
- Department of Systems Pharmacology and Translational TherapeuticsPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
- Institute for Immunology and Immune HealthPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Krzysztof Laudanski
- Department of Anesthesiology and Critical CarePerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Aalim M. Weljie
- Institute for Translational Medicine and TherapeuticsPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
- Department of Systems Pharmacology and Translational TherapeuticsPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Nuala J. Meyer
- Institute for Translational Medicine and TherapeuticsPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
- Department of MedicinePerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Garret A. FitzGerald
- Institute for Translational Medicine and TherapeuticsPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
- Department of Systems Pharmacology and Translational TherapeuticsPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
- Department of MedicinePerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
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4
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Rubenstein AB, Smith GR, Zhang Z, Chen X, Chambers TL, Ruf-Zamojski F, Mendelev N, Cheng WS, Zamojski M, Amper MAS, Nair VD, Marderstein AR, Montgomery SB, Troyanskaya OG, Zaslavsky E, Trappe T, Trappe S, Sealfon SC. Integrated single-cell multiome analysis reveals muscle fiber-type gene regulatory circuitry modulated by endurance exercise. bioRxiv 2023:2023.09.26.558914. [PMID: 37808658 PMCID: PMC10557702 DOI: 10.1101/2023.09.26.558914] [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] [Indexed: 10/10/2023]
Abstract
Endurance exercise is an important health modifier. We studied cell-type specific adaptations of human skeletal muscle to acute endurance exercise using single-nucleus (sn) multiome sequencing in human vastus lateralis samples collected before and 3.5 hours after 40 min exercise at 70% VO2max in four subjects, as well as in matched time of day samples from two supine resting circadian controls. High quality same-cell RNA-seq and ATAC-seq data were obtained from 37,154 nuclei comprising 14 cell types. Among muscle fiber types, both shared and fiber-type specific regulatory programs were identified. Single-cell circuit analysis identified distinct adaptations in fast, slow and intermediate fibers as well as LUM-expressing FAP cells, involving a total of 328 transcription factors (TFs) acting at altered accessibility sites regulating 2,025 genes. These data and circuit mapping provide single-cell insight into the processes underlying tissue and metabolic remodeling responses to exercise.
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Affiliation(s)
- Aliza B. Rubenstein
- Department of Neurology, Icahn School of Medicine at Mount Sinai (ISMMS), New York, NY 10029, USA
| | - Gregory R. Smith
- Department of Neurology, Icahn School of Medicine at Mount Sinai (ISMMS), New York, NY 10029, USA
| | - Zidong Zhang
- Department of Neurology, Icahn School of Medicine at Mount Sinai (ISMMS), New York, NY 10029, USA
- Lewis-Sigler Institute of Integrative Genomics, Princeton University, Princeton, NJ 08544, USA
| | - Xi Chen
- Center for Computational Biology, Flatiron Institute, Simons Foundation, New York, NY 10010, USA
| | - Toby L. Chambers
- Human Performance Laboratory, Ball State University, Muncie, IN 47306, USA
| | - Frederique Ruf-Zamojski
- Department of Neurology, Icahn School of Medicine at Mount Sinai (ISMMS), New York, NY 10029, USA
- Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Natalia Mendelev
- Department of Neurology, Icahn School of Medicine at Mount Sinai (ISMMS), New York, NY 10029, USA
| | - Wan Sze Cheng
- Department of Neurology, Icahn School of Medicine at Mount Sinai (ISMMS), New York, NY 10029, USA
| | - Michel Zamojski
- Department of Neurology, Icahn School of Medicine at Mount Sinai (ISMMS), New York, NY 10029, USA
- Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Mary Anne S. Amper
- Department of Neurology, Icahn School of Medicine at Mount Sinai (ISMMS), New York, NY 10029, USA
| | - Venugopalan D. Nair
- Department of Neurology, Icahn School of Medicine at Mount Sinai (ISMMS), New York, NY 10029, USA
| | - Andrew R. Marderstein
- Department of Genetics, Stanford University, Stanford, CA 94305, USA
- Department of Pathology, Stanford University, Stanford, CA 94305, USA
| | - Stephen B. Montgomery
- Department of Genetics, Stanford University, Stanford, CA 94305, USA
- Department of Pathology, Stanford University, Stanford, CA 94305, USA
| | - Olga G. Troyanskaya
- Lewis-Sigler Institute of Integrative Genomics, Princeton University, Princeton, NJ 08544, USA
- Center for Computational Biology, Flatiron Institute, Simons Foundation, New York, NY 10010, USA
- Department of Computer Science, Princeton University, Princeton, NJ 08544, USA
| | - Elena Zaslavsky
- Department of Neurology, Icahn School of Medicine at Mount Sinai (ISMMS), New York, NY 10029, USA
| | - Todd Trappe
- Human Performance Laboratory, Ball State University, Muncie, IN 47306, USA
| | - Scott Trappe
- Human Performance Laboratory, Ball State University, Muncie, IN 47306, USA
- Senior author
| | - Stuart C. Sealfon
- Department of Neurology, Icahn School of Medicine at Mount Sinai (ISMMS), New York, NY 10029, USA
- Department of Computer Science, Princeton University, Princeton, NJ 08544, USA
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5
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Chen X, Wang Y, Cappuccio A, Cheng WS, Zamojski FR, Nair VD, Miller CM, Rubenstein AB, Nudelman G, Tadych A, Theesfeld CL, Vornholt A, George MC, Ruffin F, Dagher M, Chawla DG, Soares-Schanoski A, Spurbeck RR, Ndhlovu LC, Sebra R, Kleinstein SH, Letizia AG, Ramos I, Fowler VG, Woods CW, Zaslavsky E, Troyanskaya OG, Sealfon SC. Author Correction: Mapping disease regulatory circuits at cell-type resolution from single-cell multiomics data. Nat Comput Sci 2023; 3:805. [PMID: 38177788 PMCID: PMC10766523 DOI: 10.1038/s43588-023-00523-1] [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] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/06/2024]
Affiliation(s)
- Xi Chen
- Center for Computational Biology, Flatiron Institute, New York, NY, USA
- Lewis-Sigler Institute of Integrative Genomics, Princeton University, Princeton, NJ, USA
| | - Yuan Wang
- Department of Computer Science, Princeton University, Princeton, NJ, USA
| | - Antonio Cappuccio
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Wan-Sze Cheng
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | - Venugopalan D Nair
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Clare M Miller
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Aliza B Rubenstein
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - German Nudelman
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Alicja Tadych
- Lewis-Sigler Institute of Integrative Genomics, Princeton University, Princeton, NJ, USA
| | - Chandra L Theesfeld
- Lewis-Sigler Institute of Integrative Genomics, Princeton University, Princeton, NJ, USA
| | - Alexandria Vornholt
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | - Felicia Ruffin
- Division of Infectious Diseases, Department of Medicine, Duke University School of Medicine, Durham, NC, USA
| | - Michael Dagher
- Division of Infectious Diseases, Department of Medicine, Duke University School of Medicine, Durham, NC, USA
| | - Daniel G Chawla
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA
| | | | | | - Lishomwa C Ndhlovu
- Division of Infectious Diseases, Department of Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Robert Sebra
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Steven H Kleinstein
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA
- Department of Pathology and Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA
| | | | - Irene Ramos
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Vance G Fowler
- Division of Infectious Diseases, Department of Medicine, Duke University School of Medicine, Durham, NC, USA
| | - Christopher W Woods
- Division of Infectious Diseases, Department of Medicine, Duke University School of Medicine, Durham, NC, USA
| | - Elena Zaslavsky
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
| | - Olga G Troyanskaya
- Center for Computational Biology, Flatiron Institute, New York, NY, USA.
- Lewis-Sigler Institute of Integrative Genomics, Princeton University, Princeton, NJ, USA.
- Department of Computer Science, Princeton University, Princeton, NJ, USA.
| | - Stuart C Sealfon
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
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6
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Chen X, Wang Y, Cappuccio A, Cheng WS, Zamojski FR, Nair VD, Miller CM, Rubenstein AB, Nudelman G, Tadych A, Theesfeld CL, Vornholt A, George MC, Ruffin F, Dagher M, Chawla DG, Soares-Schanoski A, Spurbeck RR, Ndhlovu LC, Sebra R, Kleinstein SH, Letizia AG, Ramos I, Fowler VG, Woods CW, Zaslavsky E, Troyanskaya OG, Sealfon SC. Mapping disease regulatory circuits at cell-type resolution from single-cell multiomics data. Nat Comput Sci 2023; 3:644-657. [PMID: 37974651 PMCID: PMC10653299 DOI: 10.1038/s43588-023-00476-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Accepted: 06/06/2023] [Indexed: 11/19/2023]
Abstract
Resolving chromatin-remodeling-linked gene expression changes at cell-type resolution is important for understanding disease states. Here we describe MAGICAL (Multiome Accessibility Gene Integration Calling and Looping), a hierarchical Bayesian approach that leverages paired single-cell RNA sequencing and single-cell transposase-accessible chromatin sequencing from different conditions to map disease-associated transcription factors, chromatin sites, and genes as regulatory circuits. By simultaneously modeling signal variation across cells and conditions in both omics data types, MAGICAL achieved high accuracy on circuit inference. We applied MAGICAL to study Staphylococcus aureus sepsis from peripheral blood mononuclear single-cell data that we generated from subjects with bloodstream infection and uninfected controls. MAGICAL identified sepsis-associated regulatory circuits predominantly in CD14 monocytes, known to be activated by bacterial sepsis. We addressed the challenging problem of distinguishing host regulatory circuit responses to methicillin-resistant and methicillin-susceptible S. aureus infections. Although differential expression analysis failed to show predictive value, MAGICAL identified epigenetic circuit biomarkers that distinguished methicillin-resistant from methicillin-susceptible S. aureus infections.
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Affiliation(s)
- Xi Chen
- Center for Computational Biology, Flatiron Institute, New York, NY, USA
- Lewis-Sigler Institute of Integrative Genomics, Princeton University, Princeton, NJ, USA
| | - Yuan Wang
- Department of Computer Science, Princeton University, Princeton, NJ, USA
| | - Antonio Cappuccio
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Wan-Sze Cheng
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | - Venugopalan D. Nair
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Clare M. Miller
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Aliza B. Rubenstein
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - German Nudelman
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Alicja Tadych
- Lewis-Sigler Institute of Integrative Genomics, Princeton University, Princeton, NJ, USA
| | - Chandra L. Theesfeld
- Lewis-Sigler Institute of Integrative Genomics, Princeton University, Princeton, NJ, USA
| | - Alexandria Vornholt
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | - Felicia Ruffin
- Division of Infectious Diseases, Department of Medicine, Duke University School of Medicine, Durham, NC, USA
| | - Michael Dagher
- Division of Infectious Diseases, Department of Medicine, Duke University School of Medicine, Durham, NC, USA
| | - Daniel G. Chawla
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA
| | | | | | - Lishomwa C. Ndhlovu
- Division of Infectious Diseases, Department of Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Robert Sebra
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Steven H. Kleinstein
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA
- Department of Pathology and Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA
| | | | - Irene Ramos
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Vance G. Fowler
- Division of Infectious Diseases, Department of Medicine, Duke University School of Medicine, Durham, NC, USA
| | - Christopher W. Woods
- Division of Infectious Diseases, Department of Medicine, Duke University School of Medicine, Durham, NC, USA
| | - Elena Zaslavsky
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- These authors jointly supervised this work: Elena Zaslavsky, Olga G. Troyanskaya, Stuart C. Sealfon
| | - Olga G. Troyanskaya
- Center for Computational Biology, Flatiron Institute, New York, NY, USA
- Lewis-Sigler Institute of Integrative Genomics, Princeton University, Princeton, NJ, USA
- Department of Computer Science, Princeton University, Princeton, NJ, USA
- These authors jointly supervised this work: Elena Zaslavsky, Olga G. Troyanskaya, Stuart C. Sealfon
| | - Stuart C. Sealfon
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- These authors jointly supervised this work: Elena Zaslavsky, Olga G. Troyanskaya, Stuart C. Sealfon
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7
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Wang W, Hariharan M, Bartlett A, Barragan C, Castanon R, Rothenberg V, Song H, Nery J, Aldridge A, Altshul J, Kenworthy M, Ding W, Liu H, Tian W, Zhou J, Chen H, Wei B, Gündüz IB, Norell T, Broderick TJ, McClain MT, Satterwhite LL, Burke TW, Petzold EA, Shen X, Woods CW, Fowler VG, Ruffin F, Panuwet P, Barr DB, Beare JL, Smith AK, Spurbeck RR, Vangeti S, Ramos I, Nudelman G, Sealfon SC, Castellino F, Walley AM, Evans T, Müller F, Greenleaf WJ, Ecker JR. Human Immune Cell Epigenomic Signatures in Response to Infectious Diseases and Chemical Exposures. bioRxiv 2023:2023.06.29.546792. [PMID: 37425926 PMCID: PMC10327221 DOI: 10.1101/2023.06.29.546792] [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] [Indexed: 07/11/2023]
Abstract
Variations in DNA methylation patterns in human tissues have been linked to various environmental exposures and infections. Here, we identified the DNA methylation signatures associated with multiple exposures in nine major immune cell types derived from peripheral blood mononuclear cells (PBMCs) at single-cell resolution. We performed methylome sequencing on 111,180 immune cells obtained from 112 individuals who were exposed to different viruses, bacteria, or chemicals. Our analysis revealed 790,662 differentially methylated regions (DMRs) associated with these exposures, which are mostly individual CpG sites. Additionally, we integrated methylation and ATAC-seq data from same samples and found strong correlations between the two modalities. However, the epigenomic remodeling in these two modalities are complementary. Finally, we identified the minimum set of DMRs that can predict exposures. Overall, our study provides the first comprehensive dataset of single immune cell methylation profiles, along with unique methylation biomarkers for various biological and chemical exposures.
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Affiliation(s)
- Wenliang Wang
- Genomic Analysis Laboratory, The Salk Institute for Biological Studies, 10010 N Torrey Pines Rd, La Jolla, CA 92037, USA
| | - Manoj Hariharan
- Genomic Analysis Laboratory, The Salk Institute for Biological Studies, 10010 N Torrey Pines Rd, La Jolla, CA 92037, USA
| | - Anna Bartlett
- Genomic Analysis Laboratory, The Salk Institute for Biological Studies, 10010 N Torrey Pines Rd, La Jolla, CA 92037, USA
| | - Cesar Barragan
- Genomic Analysis Laboratory, The Salk Institute for Biological Studies, 10010 N Torrey Pines Rd, La Jolla, CA 92037, USA
| | - Rosa Castanon
- Genomic Analysis Laboratory, The Salk Institute for Biological Studies, 10010 N Torrey Pines Rd, La Jolla, CA 92037, USA
| | - Vince Rothenberg
- Genomic Analysis Laboratory, The Salk Institute for Biological Studies, 10010 N Torrey Pines Rd, La Jolla, CA 92037, USA
| | - Haili Song
- Genomic Analysis Laboratory, The Salk Institute for Biological Studies, 10010 N Torrey Pines Rd, La Jolla, CA 92037, USA
| | - Joseph Nery
- Genomic Analysis Laboratory, The Salk Institute for Biological Studies, 10010 N Torrey Pines Rd, La Jolla, CA 92037, USA
| | - Andrew Aldridge
- Duke University School of Medicine, Bryan Research Building, 311 Research Drive, Durham, NC 27710, USA
| | - Jordan Altshul
- Genomic Analysis Laboratory, The Salk Institute for Biological Studies, 10010 N Torrey Pines Rd, La Jolla, CA 92037, USA
| | - Mia Kenworthy
- Genomic Analysis Laboratory, The Salk Institute for Biological Studies, 10010 N Torrey Pines Rd, La Jolla, CA 92037, USA
| | - Wubin Ding
- Genomic Analysis Laboratory, The Salk Institute for Biological Studies, 10010 N Torrey Pines Rd, La Jolla, CA 92037, USA
| | - Hanqing Liu
- Genomic Analysis Laboratory, The Salk Institute for Biological Studies, 10010 N Torrey Pines Rd, La Jolla, CA 92037, USA
| | - Wei Tian
- Genomic Analysis Laboratory, The Salk Institute for Biological Studies, 10010 N Torrey Pines Rd, La Jolla, CA 92037, USA
| | - Jingtian Zhou
- Genomic Analysis Laboratory, The Salk Institute for Biological Studies, 10010 N Torrey Pines Rd, La Jolla, CA 92037, USA
| | - Huaming Chen
- Genomic Analysis Laboratory, The Salk Institute for Biological Studies, 10010 N Torrey Pines Rd, La Jolla, CA 92037, USA
| | - Bei Wei
- Department of Genetics, Stanford University, Stanford, CA 94305, USA
| | - Irem B. Gündüz
- Integrative Cellular Biology & Bioinformatics Lab, Saarland University, 66123 Saarbrücken, Germany
| | - Todd Norell
- Healthspan, Resilience, and Performance, Florida Institute for Human and Machine Cognition, 40 S Alcaniz St, Pensacola, FL 32502, USA
| | - Timothy J Broderick
- Healthspan, Resilience, and Performance, Florida Institute for Human and Machine Cognition, 40 S Alcaniz St, Pensacola, FL 32502, USA
| | - Micah T. McClain
- Center for Infectious Disease Diagnostics and Innovation, Division of Infectious Diseases, Duke University Medical Center, Durham, NC 27710 USA
- Durham Veterans Affairs Medical Center, Durham, NC 27705 USA
| | - Lisa L. Satterwhite
- Department of Civil and Environmental Engineering, Pratt School of Engineering, Duke University, Durham, NC 27708, USA
| | - Thomas W. Burke
- Center for Infectious Disease Diagnostics and Innovation, Division of Infectious Diseases, Duke University Medical Center, Durham, NC 27710 USA
| | - Elizabeth A. Petzold
- Center for Infectious Disease Diagnostics and Innovation, Division of Infectious Diseases, Duke University Medical Center, Durham, NC 27710 USA
| | - Xiling Shen
- Terasaki Institute for Biomedical Innovation, Los Angeles, CA 90024, USA
| | - Christopher W. Woods
- Center for Infectious Disease Diagnostics and Innovation, Division of Infectious Diseases, Duke University Medical Center, Durham, NC 27710 USA
- Durham Veterans Affairs Medical Center, Durham, NC 27705 USA
| | - Vance G. Fowler
- Center for Infectious Disease Diagnostics and Innovation, Division of Infectious Diseases, Duke University Medical Center, Durham, NC 27710 USA
- Duke Clinical Research Institute, Durham NC 27701 USA
| | - Felicia Ruffin
- Center for Infectious Disease Diagnostics and Innovation, Division of Infectious Diseases, Duke University Medical Center, Durham, NC 27710 USA
| | - Parinya Panuwet
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA 30322 USA
| | - Dana B. Barr
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA 30322 USA
| | | | - Anthony K. Smith
- Battelle Memorial Institute, 505 King Ave Columbus OH 43201, USA
| | | | - Sindhu Vangeti
- Department of Neurology, Icahn School of Medicine at Mount Sinai; New York, NY 10029, USA
| | - Irene Ramos
- Department of Neurology, Icahn School of Medicine at Mount Sinai; New York, NY 10029, USA
| | - German Nudelman
- Department of Neurology, Icahn School of Medicine at Mount Sinai; New York, NY 10029, USA
| | - Stuart C. Sealfon
- Department of Neurology, Icahn School of Medicine at Mount Sinai; New York, NY 10029, USA
| | - Flora Castellino
- U.S. Department of Health and Human Services, Administration for Strategic Preparedness and Response, Biomedical Advanced Research and Development Authority, Washington, DC, USA
| | - Anna Maria Walley
- Vaccitech plc, Unit 6-10, Zeus Building, Rutherford Avenue, Harwell OX11 0DF, United Kingdom
| | - Thomas Evans
- Vaccitech plc, Unit 6-10, Zeus Building, Rutherford Avenue, Harwell OX11 0DF, United Kingdom
| | - Fabian Müller
- Integrative Cellular Biology & Bioinformatics Lab, Saarland University, 66123 Saarbrücken, Germany
| | | | - Joseph R. Ecker
- Genomic Analysis Laboratory, The Salk Institute for Biological Studies, 10010 N Torrey Pines Rd, La Jolla, CA 92037, USA
- Howard Hughes Medical Institute, The Salk Institute for Biological Studies, 10010 N Torrey Pines Rd, La Jolla, CA 92037, USA
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8
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Meng H, Sengupta A, Ricciotti E, Mrčela A, Mathew D, Mazaleuskaya LL, Ghosh S, Brooks TG, Turner AP, Schanoski AS, Lahens NF, Tan AW, Woolfork A, Grant G, Susztak K, Letizia AG, Sealfon SC, Wherry EJ, Laudanski K, Weljie AM, Meyer NB, FitzGerald GA. Deep Phenotyping of the Lipidomic Response in COVID and non-COVID Sepsis. bioRxiv 2023:2023.06.02.543298. [PMID: 37398323 PMCID: PMC10312560 DOI: 10.1101/2023.06.02.543298] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/04/2023]
Abstract
Lipids may influence cellular penetrance by pathogens and the immune response that they evoke. Here we find a broad based lipidomic storm driven predominantly by secretory (s) phospholipase A 2 (sPLA 2 ) dependent eicosanoid production occurs in patients with sepsis of viral and bacterial origin and relates to disease severity in COVID-19. Elevations in the cyclooxygenase (COX) products of arachidonic acid (AA), PGD 2 and PGI 2 , and the AA lipoxygenase (LOX) product, 12-HETE, and a reduction in the high abundance lipids, ChoE 18:3, LPC-O-16:0 and PC-O-30:0 exhibit relative specificity for COVID-19 amongst such patients, correlate with the inflammatory response and link to disease severity. Linoleic acid (LA) binds directly to SARS-CoV-2 and both LA and its di-HOME products reflect disease severity in COVID-19. AA and LA metabolites and LPC-O-16:0 linked variably to the immune response. These studies yield prognostic biomarkers and therapeutic targets for patients with sepsis, including COVID-19. An interactive purpose built interactive network analysis tool was developed, allowing the community to interrogate connections across these multiomic data and generate novel hypotheses.
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9
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Mao W, Miller CM, Nair VD, Ge Y, Amper MAS, Cappuccio A, George M, Goforth CW, Guevara K, Marjanovic N, Nudelman G, Pincas H, Ramos I, Sealfon RSG, Soares‐Schanoski A, Vangeti S, Vasoya M, Weir DL, Zaslavsky E, Kim‐Schulze S, Gnjatic S, Merad M, Letizia AG, Troyanskaya OG, Sealfon SC, Chikina M. A methylation clock model of mild SARS-CoV-2 infection provides insight into immune dysregulation. Mol Syst Biol 2023; 19:e11361. [PMID: 36919946 PMCID: PMC10167476 DOI: 10.15252/msb.202211361] [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: 09/23/2022] [Revised: 02/16/2023] [Accepted: 02/20/2023] [Indexed: 03/16/2023] Open
Abstract
DNA methylation comprises a cumulative record of lifetime exposures superimposed on genetically determined markers. Little is known about methylation dynamics in humans following an acute perturbation, such as infection. We characterized the temporal trajectory of blood epigenetic remodeling in 133 participants in a prospective study of young adults before, during, and after asymptomatic and mildly symptomatic SARS-CoV-2 infection. The differential methylation caused by asymptomatic or mildly symptomatic infections was indistinguishable. While differential gene expression largely returned to baseline levels after the virus became undetectable, some differentially methylated sites persisted for months of follow-up, with a pattern resembling autoimmune or inflammatory disease. We leveraged these responses to construct methylation-based machine learning models that distinguished samples from pre-, during-, and postinfection time periods, and quantitatively predicted the time since infection. The clinical trajectory in the young adults and in a diverse cohort with more severe outcomes was predicted by the similarity of methylation before or early after SARS-CoV-2 infection to the model-defined postinfection state. Unlike the phenomenon of trained immunity, the postacute SARS-CoV-2 epigenetic landscape we identify is antiprotective.
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Affiliation(s)
- Weiguang Mao
- Department of Computational and Systems Biology, School of MedicineUniversity of PittsburghPAPittsburghUSA
- Present address:
Center for Computational BiologyFlatiron Institute, Simons FoundationNew YorkNYUSA
| | - Clare M Miller
- Department of NeurologyIcahn School of Medicine at Mount SinaiNYNew YorkUSA
| | - Venugopalan D Nair
- Department of NeurologyIcahn School of Medicine at Mount SinaiNYNew YorkUSA
| | - Yongchao Ge
- Department of NeurologyIcahn School of Medicine at Mount SinaiNYNew YorkUSA
| | - Mary Anne S Amper
- Department of NeurologyIcahn School of Medicine at Mount SinaiNYNew YorkUSA
| | - Antonio Cappuccio
- Department of NeurologyIcahn School of Medicine at Mount SinaiNYNew YorkUSA
| | | | | | - Kristy Guevara
- Department of NeurologyIcahn School of Medicine at Mount SinaiNYNew YorkUSA
| | - Nada Marjanovic
- Department of NeurologyIcahn School of Medicine at Mount SinaiNYNew YorkUSA
| | - German Nudelman
- Department of NeurologyIcahn School of Medicine at Mount SinaiNYNew YorkUSA
| | - Hanna Pincas
- Department of NeurologyIcahn School of Medicine at Mount SinaiNYNew YorkUSA
| | - Irene Ramos
- Department of NeurologyIcahn School of Medicine at Mount SinaiNYNew YorkUSA
| | - Rachel S G Sealfon
- Center for Computational Biology, Flatiron InstituteSimons FoundationNYNew YorkUSA
| | - Alessandra Soares‐Schanoski
- Department of NeurologyIcahn School of Medicine at Mount SinaiNYNew YorkUSA
- Present address:
Ragon Institute of MGH, MIT, and HarvardCambridgeMAUSA
| | - Sindhu Vangeti
- Department of NeurologyIcahn School of Medicine at Mount SinaiNYNew YorkUSA
| | - Mital Vasoya
- Department of NeurologyIcahn School of Medicine at Mount SinaiNYNew YorkUSA
| | - Dawn L Weir
- Naval Medical Research CenterMDSilver SpringUSA
| | - Elena Zaslavsky
- Department of NeurologyIcahn School of Medicine at Mount SinaiNYNew YorkUSA
| | - Seunghee Kim‐Schulze
- Precision Immunology InstituteIcahn School of Medicine at Mount SinaiNYNew YorkUSA
- Human Immune Monitoring Center (HIMC)Icahn School of Medicine at Mount SinaiNYNew YorkUSA
| | - Sacha Gnjatic
- Precision Immunology InstituteIcahn School of Medicine at Mount SinaiNYNew YorkUSA
- Human Immune Monitoring Center (HIMC)Icahn School of Medicine at Mount SinaiNYNew YorkUSA
| | - Miriam Merad
- Precision Immunology InstituteIcahn School of Medicine at Mount SinaiNYNew YorkUSA
- Human Immune Monitoring Center (HIMC)Icahn School of Medicine at Mount SinaiNYNew YorkUSA
| | | | - Olga G Troyanskaya
- Center for Computational Biology, Flatiron InstituteSimons FoundationNYNew YorkUSA
- Department of Computer SciencePrinceton UniversityNJPrincetonUSA
- Lewis‐Sigler Institute for Integrative GenomicsPrinceton UniversityNJPrincetonUSA
| | - Stuart C Sealfon
- Department of NeurologyIcahn School of Medicine at Mount SinaiNYNew YorkUSA
| | - Maria Chikina
- Department of Computational and Systems Biology, School of MedicineUniversity of PittsburghPAPittsburghUSA
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10
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Alonso CAI, David CD, Toufaily C, Wang Y, Zhou X, Ongaro L, Nudelman G, Nair VD, Ruf-Zamojski F, Boehm U, Sealfon SC, Bernard DJ. Activating Transcription Factor 3 Stimulates Follicle-Stimulating Hormone-β Expression In Vitro But Is Dispensable for Follicle-Stimulating Hormone Production in Murine Gonadotropes In Vivo. Endocrinology 2023; 164:bqad050. [PMID: 36951304 PMCID: PMC10282924 DOI: 10.1210/endocr/bqad050] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Revised: 03/07/2023] [Accepted: 03/21/2023] [Indexed: 03/24/2023]
Abstract
Follicle-stimulating hormone (FSH), a dimeric glycoprotein produced by pituitary gonadotrope cells, regulates spermatogenesis in males and ovarian follicle growth in females. Hypothalamic gonadotropin-releasing hormone (GnRH) stimulates FSHβ subunit gene (Fshb) transcription, though the underlying mechanisms are poorly understood. To address this gap in knowledge, we examined changes in pituitary gene expression in GnRH-deficient mice (hpg) treated with a regimen of exogenous GnRH that increases pituitary Fshb but not luteinizing hormone β (Lhb) messenger RNA levels. Activating transcription factor 3 (Atf3) was among the most upregulated genes. Activating transcription factor 3 (ATF3) can heterodimerize with members of the activator protein 1 family to regulate gene transcription. Co-expression of ATF3 with JunB stimulated murine Fshb, but not Lhb, promoter-reporter activity in homologous LβT2b cells. ATF3 also synergized with a constitutively active activin type I receptor to increase endogenous Fshb expression in these cells. Nevertheless, FSH production was intact in gonadotrope-specific Atf3 knockout [conditional knockout (cKO)] mice. Ovarian follicle development, ovulation, and litter sizes were equivalent between cKOs and controls. Testis weights and sperm counts did not differ between genotypes. Following gonadectomy, increases in LH secretion were enhanced in cKO animals. Though FSH levels did not differ between genotypes, post-gonadectomy increases in pituitary Fshb and gonadotropin α subunit expression were more pronounced in cKO than control mice. These data indicate that ATF3 can selectively stimulate Fshb expression in vitro but is not required for FSH production in vivo.
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Affiliation(s)
- Carlos A I Alonso
- Department of Pharmacology and Therapeutics, McGill University, Montreal, QC H3G 1Y6, Canada
| | - Caroline D David
- Department of Pharmacology and Therapeutics, McGill University, Montreal, QC H3G 1Y6, Canada
| | - Chirine Toufaily
- Department of Pharmacology and Therapeutics, McGill University, Montreal, QC H3G 1Y6, Canada
| | - Ying Wang
- Department of Pharmacology and Therapeutics, McGill University, Montreal, QC H3G 1Y6, Canada
| | - Xiang Zhou
- Department of Pharmacology and Therapeutics, McGill University, Montreal, QC H3G 1Y6, Canada
| | - Luisina Ongaro
- Department of Pharmacology and Therapeutics, McGill University, Montreal, QC H3G 1Y6, Canada
| | - German Nudelman
- Department of Neurology, Center for Advanced Research on Diagnostic Assay, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Venugopalan D Nair
- Department of Neurology, Center for Advanced Research on Diagnostic Assay, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Frederique Ruf-Zamojski
- Department of Neurology, Center for Advanced Research on Diagnostic Assay, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Ulrich Boehm
- Department of Experimental Pharmacology, Center for Molecular Signaling, Saarland University School of Medicine, Homburg 66421, Germany
| | - Stuart C Sealfon
- Department of Neurology, Center for Advanced Research on Diagnostic Assay, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Daniel J Bernard
- Department of Pharmacology and Therapeutics, McGill University, Montreal, QC H3G 1Y6, Canada
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11
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Zhang Z, Sauerwald N, Cappuccio A, Ramos I, Nair VD, Nudelman G, Zaslavsky E, Ge Y, Gaitas A, Ren H, Brockman J, Geis J, Ramalingam N, King D, McClain MT, Woods CW, Henao R, Burke TW, Tsalik EL, Goforth CW, Lizewski RA, Lizewski SE, Weir DL, Letizia AG, Sealfon SC, Troyanskaya OG. Blood RNA alternative splicing events as diagnostic biomarkers for infectious disease. Cell Rep Methods 2023; 3:100395. [PMID: 36936082 PMCID: PMC10014279 DOI: 10.1016/j.crmeth.2023.100395] [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: 07/27/2022] [Revised: 10/31/2022] [Accepted: 01/09/2023] [Indexed: 01/13/2023]
Abstract
Assays detecting blood transcriptome changes are studied for infectious disease diagnosis. Blood-based RNA alternative splicing (AS) events, which have not been well characterized in pathogen infection, have potential normalization and assay platform stability advantages over gene expression for diagnosis. Here, we present a computational framework for developing AS diagnostic biomarkers. Leveraging a large prospective cohort of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and whole-blood RNA sequencing (RNA-seq) data, we identify a major functional AS program switch upon viral infection. Using an independent cohort, we demonstrate the improved accuracy of AS biomarkers for SARS-CoV-2 diagnosis compared with six reported transcriptome signatures. We then optimize a subset of AS-based biomarkers to develop microfluidic PCR diagnostic assays. This assay achieves nearly perfect test accuracy (61/62 = 98.4%) using a naive principal component classifier, significantly more accurate than a gene expression PCR assay in the same cohort. Therefore, our RNA splicing computational framework enables a promising avenue for host-response diagnosis of infection.
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Affiliation(s)
- Zijun Zhang
- Center for Computational Biology, Flatiron Institute, New York, NY 10010, USA
- Division of Artificial Intelligence in Medicine, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Natalie Sauerwald
- Center for Computational Biology, Flatiron Institute, New York, NY 10010, USA
| | - Antonio Cappuccio
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Irene Ramos
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Venugopalan D. Nair
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - German Nudelman
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Elena Zaslavsky
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Yongchao Ge
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Angelo Gaitas
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Hui Ren
- Fluidigm Corporation, South San Francisco, CA 94080, USA
| | - Joel Brockman
- Fluidigm Corporation, South San Francisco, CA 94080, USA
| | - Jennifer Geis
- Fluidigm Corporation, South San Francisco, CA 94080, USA
| | | | - David King
- Fluidigm Corporation, South San Francisco, CA 94080, USA
| | - Micah T. McClain
- Center for Applied Genomics and Precision Medicine, Duke University School of Medicine, Durham, NC 27710, USA
| | - Christopher W. Woods
- Center for Applied Genomics and Precision Medicine, Duke University School of Medicine, Durham, NC 27710, USA
| | - Ricardo Henao
- Center for Applied Genomics and Precision Medicine, Duke University School of Medicine, Durham, NC 27710, USA
| | - Thomas W. Burke
- Center for Applied Genomics and Precision Medicine, Duke University School of Medicine, Durham, NC 27710, USA
| | - Ephraim L. Tsalik
- Center for Applied Genomics and Precision Medicine, Duke University School of Medicine, Durham, NC 27710, USA
| | | | | | | | - Dawn L. Weir
- Naval Medical Research Center, Silver Spring, MD, USA
| | | | - Stuart C. Sealfon
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Olga G. Troyanskaya
- Center for Computational Biology, Flatiron Institute, New York, NY 10010, USA
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544, USA
- Department of Computer Science, Princeton University, Princeton, NJ 08544, USA
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12
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Chawla DG, Cappuccio A, Tamminga A, Sealfon SC, Zaslavsky E, Kleinstein SH. Benchmarking transcriptional host response signatures for infection diagnosis. Cell Syst 2022; 13:974-988.e7. [PMID: 36549274 PMCID: PMC9768893 DOI: 10.1016/j.cels.2022.11.007] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Revised: 08/04/2022] [Accepted: 11/22/2022] [Indexed: 12/24/2022]
Abstract
Identification of host transcriptional response signatures has emerged as a new paradigm for infection diagnosis. For clinical applications, signatures must robustly detect the pathogen of interest without cross-reacting with unintended conditions. To evaluate the performance of infectious disease signatures, we developed a framework that includes a compendium of 17,105 transcriptional profiles capturing infectious and non-infectious conditions and a standardized methodology to assess robustness and cross-reactivity. Applied to 30 published signatures of infection, the analysis showed that signatures were generally robust in detecting viral and bacterial infections in independent data. Asymptomatic and chronic infections were also detectable, albeit with decreased performance. However, many signatures were cross-reactive with unintended infections and aging. In general, we found robustness and cross-reactivity to be conflicting objectives, and we identified signature properties associated with this trade-off. The data compendium and evaluation framework developed here provide a foundation for the development of signatures for clinical application. A record of this paper's transparent peer review process is included in the supplemental information.
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Affiliation(s)
- Daniel G Chawla
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06511, USA
| | - Antonio Cappuccio
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Andrea Tamminga
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06511, USA
| | - Stuart C Sealfon
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Elena Zaslavsky
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
| | - Steven H Kleinstein
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06511, USA; Department of Pathology and Department of Immunobiology, Yale School of Medicine, New Haven, CT 06511, USA.
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13
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Aydillo T, Gonzalez-Reiche AS, Stadlbauer D, Amper MA, Nair VD, Mariottini C, Sealfon SC, van Bakel H, Palese P, Krammer F, García-Sastre A. Transcriptome signatures preceding the induction of anti-stalk antibodies elicited after universal influenza vaccination. NPJ Vaccines 2022; 7:160. [PMID: 36496417 PMCID: PMC9741632 DOI: 10.1038/s41541-022-00583-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Accepted: 11/25/2022] [Indexed: 12/13/2022] Open
Abstract
A phase 1 clinical trial to test the immunogenicity of a chimeric group 1 HA (cHA) universal influenza virus vaccine targeting the conserved stalk domain of the hemagglutinin of influenza viruses was carried out. Vaccination with adjuvanted-inactivated vaccines induced high anti-stalk antibody titers. We sought to identify gene expression signatures that correlate with such induction. Messenger-RNA sequencing in whole blood was performed on the peripheral blood of 53 vaccinees. We generated longitudinal data on the peripheral blood of 53 volunteers, at early (days 3 and 7) and late (28 days) time points after priming and boosting with cHAs. Differentially expressed gene analysis showed no differences between placebo and live-attenuated vaccine groups. However, an upregulation of genes involved in innate immune responses and type I interferon signaling was found at day 3 after vaccination with inactivated adjuvanted formulations. Cell type deconvolution analysis revealed a significant enrichment for monocyte markers and different subsets of dendritic cells as mediators for optimal B cell responses and significant increase of anti-stalk antibodies in sera. A significant upregulation of immunoglobulin-related genes was only observed after administration of adjuvanted vaccines (either as primer or booster) with specific induction of anti-stalk IGVH1-69. This approach informed of specific immune signatures that correlate with robust anti-stalk antibody responses, while also helping to understand the regulation of gene expression induced by cHA proteins under different vaccine regimens.
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Affiliation(s)
- Teresa Aydillo
- grid.59734.3c0000 0001 0670 2351Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY USA ,grid.59734.3c0000 0001 0670 2351Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Ana S. Gonzalez-Reiche
- grid.59734.3c0000 0001 0670 2351Department of Genetics and Genomics Sciences, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Daniel Stadlbauer
- grid.59734.3c0000 0001 0670 2351Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY USA ,grid.479574.c0000 0004 1791 3172Present Address: Moderna, Cambridge, MA USA
| | - Mary Anne Amper
- grid.59734.3c0000 0001 0670 2351Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Venugopalan D. Nair
- grid.59734.3c0000 0001 0670 2351Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Chiara Mariottini
- grid.59734.3c0000 0001 0670 2351Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Stuart C. Sealfon
- grid.59734.3c0000 0001 0670 2351Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Harm van Bakel
- grid.59734.3c0000 0001 0670 2351Department of Genetics and Genomics Sciences, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Peter Palese
- grid.59734.3c0000 0001 0670 2351Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY USA ,grid.59734.3c0000 0001 0670 2351Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY USA ,grid.59734.3c0000 0001 0670 2351Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Florian Krammer
- grid.59734.3c0000 0001 0670 2351Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY USA ,grid.59734.3c0000 0001 0670 2351Department of Pathology, Molecular and Cell Based Medicine, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Adolfo García-Sastre
- grid.59734.3c0000 0001 0670 2351Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY USA ,grid.59734.3c0000 0001 0670 2351Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY USA ,grid.59734.3c0000 0001 0670 2351Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY USA ,grid.59734.3c0000 0001 0670 2351Department of Pathology, Molecular and Cell Based Medicine, Icahn School of Medicine at Mount Sinai, New York, NY USA ,grid.59734.3c0000 0001 0670 2351Department of Medicine, Division of Infectious Diseases, Icahn School of Medicine at Mount Sinai, New York, NY USA ,grid.516104.70000 0004 0408 1530The Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY USA
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14
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Wang X, Chen J, Homma ST, Wang Y, Smith GR, Ruf-Zamojski F, Sealfon SC, Zhou L. Diverse effector and regulatory functions of fibro/adipogenic progenitors during skeletal muscle fibrosis in muscular dystrophy. iScience 2022; 26:105775. [PMID: 36594034 PMCID: PMC9804115 DOI: 10.1016/j.isci.2022.105775] [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] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Revised: 09/08/2022] [Accepted: 12/06/2022] [Indexed: 12/13/2022] Open
Abstract
Fibrosis is a prominent pathological feature of skeletal muscle in Duchenne muscular dystrophy (DMD). The commonly used disease mouse model, mdx 5cv , displays progressive fibrosis in the diaphragm but not limb muscles. We use single-cell RNA sequencing to determine the cellular expression of the genes involved in extracellular matrix (ECM) production and degradation in the mdx 5cv diaphragm and quadriceps. We find that fibro/adipogenic progenitors (FAPs) are not only the primary source of ECM but also the predominant cells that express important ECM regulatory genes, including Ccn2, Ltbp4, Mmp2, Mmp14, Timp1, Timp2, and Loxs. The effector and regulatory functions are exerted by diverse FAP clusters which are different between diaphragm and quadriceps, indicating their activation by different tissue microenvironments. FAPs are more abundant in diaphragm than in quadriceps. Our findings suggest that the development of anti-fibrotic therapy for DMD should target not only the ECM production but also the pro-fibrogenic regulatory functions of FAPs.
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Affiliation(s)
- Xingyu Wang
- Department of Neurology, Boston University School of Medicine, 72 East Concord Street, Boston, MA 02118, USA
| | - Jianming Chen
- Department of Neurology, Boston University School of Medicine, 72 East Concord Street, Boston, MA 02118, USA
| | - Sachiko T. Homma
- Department of Neurology, Boston University School of Medicine, 72 East Concord Street, Boston, MA 02118, USA
| | - Yinhang Wang
- Department of Neurology, Boston University School of Medicine, 72 East Concord Street, Boston, MA 02118, USA
| | - Gregory R. Smith
- Department of Neurology, Icahn School of Medicine at Mount Sinai, 1468 Madison Avenue, New York, NY 10029, USA
| | - Frederique Ruf-Zamojski
- Department of Neurology, Icahn School of Medicine at Mount Sinai, 1468 Madison Avenue, New York, NY 10029, USA
| | - Stuart C. Sealfon
- Department of Neurology, Icahn School of Medicine at Mount Sinai, 1468 Madison Avenue, New York, NY 10029, USA
| | - Lan Zhou
- Department of Neurology, Boston University School of Medicine, 72 East Concord Street, Boston, MA 02118, USA,Corresponding author
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15
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Sauerwald N, Zhang Z, Ramos I, Nair VD, Soares-Schanoski A, Ge Y, Mao W, Alshammary H, Gonzalez-Reiche AS, van de Guchte A, Goforth CW, Lizewski RA, Lizewski SE, Amper MAS, Vasoya M, Seenarine N, Guevara K, Marjanovic N, Miller CM, Nudelman G, Schilling MA, Sealfon RSG, Termini MS, Vangeti S, Weir DL, Zaslavsky E, Chikina M, Wu YN, Van Bakel H, Letizia AG, Sealfon SC, Troyanskaya OG. Pre-infection antiviral innate immunity contributes to sex differences in SARS-CoV-2 infection. Cell Syst 2022; 13:924-931.e4. [PMID: 36323307 PMCID: PMC9623453 DOI: 10.1016/j.cels.2022.10.005] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [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: 04/11/2022] [Revised: 07/21/2022] [Accepted: 10/18/2022] [Indexed: 11/05/2022]
Abstract
Male sex is a major risk factor for SARS-CoV-2 infection severity. To understand the basis for this sex difference, we studied SARS-CoV-2 infection in a young adult cohort of United States Marine recruits. Among 2,641 male and 244 female unvaccinated and seronegative recruits studied longitudinally, SARS-CoV-2 infections occurred in 1,033 males and 137 females. We identified sex differences in symptoms, viral load, blood transcriptome, RNA splicing, and proteomic signatures. Females had higher pre-infection expression of antiviral interferon-stimulated gene (ISG) programs. Causal mediation analysis implicated ISG differences in number of symptoms, levels of ISGs, and differential splicing of CD45 lymphocyte phosphatase during infection. Our results indicate that the antiviral innate immunity set point causally contributes to sex differences in response to SARS-CoV-2 infection. A record of this paper's transparent peer review process is included in the supplemental information.
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Affiliation(s)
- Natalie Sauerwald
- Center for Computational Biology, Flatiron Institute, New York, NY 10010, USA
| | - Zijun Zhang
- Center for Computational Biology, Flatiron Institute, New York, NY 10010, USA
| | - Irene Ramos
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Venugopalan D Nair
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | | | - Yongchao Ge
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Weiguang Mao
- Department of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | - Hala Alshammary
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Ana S Gonzalez-Reiche
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Adriana van de Guchte
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Carl W Goforth
- Naval Medical Research Center, Silver Spring, MD 20910, USA
| | | | | | - Mary Anne S Amper
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Mital Vasoya
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Nitish Seenarine
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Kristy Guevara
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Nada Marjanovic
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Clare M Miller
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - German Nudelman
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | | | - Rachel S G Sealfon
- Center for Computational Biology, Flatiron Institute, New York, NY 10010, USA
| | - Michael S Termini
- Navy Medicine Readiness and Training Command Beaufort, Beaufort, SC 29902, USA
| | - Sindhu Vangeti
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Dawn L Weir
- Naval Medical Research Center, Silver Spring, MD 20910, USA
| | - Elena Zaslavsky
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Maria Chikina
- Department of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | - Ying Nian Wu
- Department of Statistics, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Harm Van Bakel
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | | | - Stuart C Sealfon
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
| | - Olga G Troyanskaya
- Center for Computational Biology, Flatiron Institute, New York, NY 10010, USA; Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08540, USA; Department of Computer Science, Princeton University, Princeton, NJ 08540, USA.
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16
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Lizewski RA, Sealfon RSG, Park SW, Smith GR, Porter CK, Gonzalez-Reiche AS, Ge Y, Miller CM, Goforth CW, Pincas H, Termini MS, Ramos I, Nair VD, Lizewski SE, Alshammary H, Cer RZ, Chen HW, George MC, Arnold CE, Glang LA, Long KA, Malagon F, Marayag JJ, Nunez E, Rice GK, Santa Ana E, Schilling MA, Smith DR, Sugiharto VA, Sun P, van de Guchte A, Khan Z, Dutta J, Vangeti S, Voegtly LJ, Weir DL, Metcalf CJE, Troyanskaya OG, Bishop-Lilly KA, Grenfell BT, van Bakel H, Letizia AG, Sealfon SC. SARS-CoV-2 Outbreak Dynamics in an Isolated US Military Recruit Training Center With Rigorous Prevention Measures. Epidemiology 2022; 33:797-807. [PMID: 35944149 PMCID: PMC9531985 DOI: 10.1097/ede.0000000000001523] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Accepted: 07/11/2022] [Indexed: 02/05/2023]
Abstract
BACKGROUND Marine recruits training at Parris Island experienced an unexpectedly high rate of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, despite preventive measures including a supervised, 2-week, pre-entry quarantine. We characterize SARS-CoV-2 transmission in this cohort. METHODS Between May and November 2020, we monitored 2,469 unvaccinated, mostly male, Marine recruits prospectively during basic training. If participants tested negative for SARS-CoV-2 by quantitative polymerase chain reaction (qPCR) at the end of quarantine, they were transferred to the training site in segregated companies and underwent biweekly testing for 6 weeks. We assessed the effects of coronavirus disease 2019 (COVID-19) prevention measures on other respiratory infections with passive surveillance data, performed phylogenetic analysis, and modeled transmission dynamics and testing regimens. RESULTS Preventive measures were associated with drastically lower rates of other respiratory illnesses. However, among the trainees, 1,107 (44.8%) tested SARS-CoV-2-positive, with either mild or no symptoms. Phylogenetic analysis of viral genomes from 580 participants revealed that all cases but one were linked to five independent introductions, each characterized by accumulation of mutations across and within companies, and similar viral isolates in individuals from the same company. Variation in company transmission rates (mean reproduction number R 0 ; 5.5 [95% confidence interval [CI], 5.0, 6.1]) could be accounted for by multiple initial cases within a company and superspreader events. Simulations indicate that frequent rapid-report testing with case isolation may minimize outbreaks. CONCLUSIONS Transmission of wild-type SARS-CoV-2 among Marine recruits was approximately twice that seen in the community. Insights from SARS-CoV-2 outbreak dynamics and mutations spread in a remote, congregate setting may inform effective mitigation strategies.
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Affiliation(s)
| | - Rachel S. G. Sealfon
- Center for Computational Biology, Flatiron Institute, Simons Foundation, New York, NY
| | - Sang Woo Park
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ
| | - Gregory R. Smith
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY
| | | | - Ana S. Gonzalez-Reiche
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Yongchao Ge
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Clare M. Miller
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY
| | | | - Hanna Pincas
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY
| | | | - Irene Ramos
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Venugopalan D. Nair
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY
| | | | - Hala Alshammary
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Regina Z. Cer
- Genomics & Bioinformatics Department, Biological Defense Research Directorate, Naval Medical Research Center-Frederick, Fort Detrick, MD
| | - Hua Wei Chen
- Naval Medical Research Center, Silver Spring, MD
- Henry M Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD
| | | | - Catherine E. Arnold
- Genomics & Bioinformatics Department, Biological Defense Research Directorate, Naval Medical Research Center-Frederick, Fort Detrick, MD
- Defense Threat Reduction Agency, Fort Belvoir, VA
| | - Lindsay A. Glang
- Genomics & Bioinformatics Department, Biological Defense Research Directorate, Naval Medical Research Center-Frederick, Fort Detrick, MD
- Leidos, Reston, VA
| | - Kyle A. Long
- Genomics & Bioinformatics Department, Biological Defense Research Directorate, Naval Medical Research Center-Frederick, Fort Detrick, MD
- Leidos, Reston, VA
| | - Francisco Malagon
- Genomics & Bioinformatics Department, Biological Defense Research Directorate, Naval Medical Research Center-Frederick, Fort Detrick, MD
- Leidos, Reston, VA
| | | | - Edgar Nunez
- Naval Medical Research Center, Silver Spring, MD
| | - Gregory K. Rice
- Genomics & Bioinformatics Department, Biological Defense Research Directorate, Naval Medical Research Center-Frederick, Fort Detrick, MD
- Leidos, Reston, VA
| | | | | | - Darci R. Smith
- Immunodiagnostics Department, Biological Defense Research Directorate, Naval Medical Research Center-Frederick, Fort Detrick, MD
| | - Victor A. Sugiharto
- Naval Medical Research Center, Silver Spring, MD
- Henry M Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD
| | - Peifang Sun
- Naval Medical Research Center, Silver Spring, MD
| | - Adriana van de Guchte
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Zenab Khan
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Jayeeta Dutta
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Sindhu Vangeti
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Logan J. Voegtly
- Genomics & Bioinformatics Department, Biological Defense Research Directorate, Naval Medical Research Center-Frederick, Fort Detrick, MD
- Leidos, Reston, VA
| | - Dawn L. Weir
- Naval Medical Research Center, Silver Spring, MD
| | | | - Olga G. Troyanskaya
- Center for Computational Biology, Flatiron Institute, Simons Foundation, New York, NY
- Department of Computer Science, Princeton University, Princeton, NJ
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ
| | - Kimberly A. Bishop-Lilly
- Genomics & Bioinformatics Department, Biological Defense Research Directorate, Naval Medical Research Center-Frederick, Fort Detrick, MD
| | - Bryan T. Grenfell
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ
| | - Harm van Bakel
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY
| | | | - Stuart C. Sealfon
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY
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17
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Lin YF, Schang G, Buddle ERS, Schultz H, Willis TL, Ruf-Zamojski F, Zamojski M, Mendelev N, Boehm U, Sealfon SC, Andoniadou CL, Bernard DJ. Steroidogenic Factor 1 Regulates Transcription of the Inhibin B Coreceptor in Pituitary Gonadotrope Cells. Endocrinology 2022; 163:6661776. [PMID: 35957608 PMCID: PMC9761571 DOI: 10.1210/endocr/bqac131] [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: 03/21/2022] [Indexed: 11/19/2022]
Abstract
The inhibins control reproduction by suppressing follicle-stimulating hormone synthesis in pituitary gonadotrope cells. The newly discovered inhibin B coreceptor, TGFBR3L, is selectively and highly expressed in gonadotropes in both mice and humans. Here, we describe our initial characterization of mechanisms controlling cell-specific Tgfbr3l/TGFBR3L transcription. We identified two steroidogenic factor 1 (SF-1 or NR5A1) cis-elements in the proximal Tgfbr3l promoter in mice. SF-1 induction of murine Tgfbr3l promoter-reporter activity was inhibited by mutations in one or both sites in heterologous cells. In homologous cells, mutation of these cis-elements or depletion of endogenous SF-1 similarly decreased reporter activity. We observed nearly identical results when using a human TGFBR3L promoter-reporter. The Tgfbr3l gene was tightly compacted and Tgfbr3l mRNA expression was essentially absent in gonadotropes of SF-1 (Nr5a1) conditional knockout mice. During murine embryonic development, Tgfbr3l precedes Nr5a1 expression, though the two transcripts are fully colocalized by embryonic day 18.5 and thereafter. Collectively, these data indicate that SF-1 directly regulates Tgfbr3l/TGFBR3L transcription and is required for postnatal expression of the gene in gonadotropes.
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Affiliation(s)
- Yeu-Farn Lin
- Department of Pharmacology and Therapeutics, McGill University, Montreal, Quebec H3G 1Y6, Canada
| | - Gauthier Schang
- Department of Pharmacology and Therapeutics, McGill University, Montreal, Quebec H3G 1Y6, Canada
| | - Evan R S Buddle
- Department of Pharmacology and Therapeutics, McGill University, Montreal, Quebec H3G 1Y6, Canada
| | - Hailey Schultz
- Department of Anatomy and Cell Biology, McGill University, Montreal, Quebec H3A 0C7, Canada
| | - Thea L Willis
- Centre for Craniofacial and Regenerative Biology, King’s College London, London SE1 1UL, UK
| | - Frederique Ruf-Zamojski
- Department of Neurology, Center for Advanced Research on Diagnostic Assays, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Michel Zamojski
- Department of Neurology, Center for Advanced Research on Diagnostic Assays, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Natalia Mendelev
- Department of Neurology, Center for Advanced Research on Diagnostic Assays, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Ulrich Boehm
- Department of Experimental Pharmacology, Center for Molecular Signaling, Saarland University School of Medicine, Homburg 66421, Germany
| | - Stuart C Sealfon
- Department of Neurology, Center for Advanced Research on Diagnostic Assays, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Cynthia L Andoniadou
- Centre for Craniofacial and Regenerative Biology, King’s College London, London SE1 1UL, UK
| | - Daniel J Bernard
- Correspondence: Daniel J. Bernard, PhD, Department of Pharmacology and Therapeutics, 3655 Promenade Sir William Osler, McGill University, Montreal, Quebec, Canada.
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18
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Sun P, Ramos I, Coelho CH, Grifoni A, Balinsky CA, Vangeti S, Tarke A, Bloom NI, Jani V, Jakubski SJ, Boulifard DA, Cooper E, Goforth CW, Marayag J, Marrone A, Nunez E, White L, Porter CK, Sugiharto VA, Schilling M, Mahajan AS, Beckett C, Sette A, Sealfon SC, Crotty S, Letizia AG. Asymptomatic or symptomatic SARS-CoV-2 infection plus vaccination confers increased adaptive immunity to Variants of Concern. iScience 2022; 25:105202. [PMID: 36168391 PMCID: PMC9502440 DOI: 10.1016/j.isci.2022.105202] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Revised: 08/06/2022] [Accepted: 09/20/2022] [Indexed: 10/27/2022] Open
Abstract
The ongoing evolution of SARS-CoV-2 requires monitoring the capability of immune responses to cross-recognize Variants of Concern (VOC). In this cross-sectional study, we examined serological and cell-mediated immune memory to SARS-CoV-2 variants, including Omicron, among a cohort of 18-21-year-old Marines with a history of either asymptomatic or mild SARS-CoV-2 infection 6 to 14 months earlier. Among the 210 participants in the study, 169 were unvaccinated while 41 received 2 doses of mRNA-based COVID-19 vaccines. Vaccination of previously infected participants strongly boosted neutralizing and binding activity and memory B and T cell responses including recognition of Omicron, compared to infected but unvaccinated participants. Additionally, no measurable differences were observed in immune memory in healthy young adults with previous symptomatic or asymptomatic infections, for ancestral or variant strains. These results provide mechanistic immunological insights into population-based differences observed in immunity against Omicron and other variants among individuals with different clinical histories.
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Affiliation(s)
- Peifang Sun
- Naval Medical Research Center, Silver Spring, Maryland
| | - Irene Ramos
- Icahn School of Medicine at Mount Sinai, New York, New York.,Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | | | - Alba Grifoni
- La Jolla Institute for Immunology, La Jolla, California
| | - Corey A Balinsky
- Naval Medical Research Center, Silver Spring, Maryland.,Henry M Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, Maryland
| | - Sindhu Vangeti
- Icahn School of Medicine at Mount Sinai, New York, New York.,Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States.,Stockholm University, Stockholm, Sweden
| | - Alison Tarke
- La Jolla Institute for Immunology, La Jolla, California
| | | | - Vihasi Jani
- Naval Medical Research Center, Silver Spring, Maryland.,Henry M Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, Maryland
| | - Silvia J Jakubski
- Henry M Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, Maryland
| | - David A Boulifard
- Henry M Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, Maryland
| | | | - Carl W Goforth
- Naval Medical Research Center, Silver Spring, Maryland.,Navy Medicine Readiness and Training Command, Jacksonville, Florida
| | - Jan Marayag
- Naval Medical Research Center, Silver Spring, Maryland
| | | | - Edgar Nunez
- Naval Medical Research Center, Silver Spring, Maryland
| | - Lindsey White
- Naval Medical Research Center, Silver Spring, Maryland.,Henry M Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, Maryland
| | - Chad K Porter
- Naval Medical Research Center, Silver Spring, Maryland
| | - Victor A Sugiharto
- Naval Medical Research Center, Silver Spring, Maryland.,Henry M Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, Maryland
| | | | | | | | - Alessandro Sette
- La Jolla Institute for Immunology, La Jolla, California.,University of California San Diego, Department of Medicine, California
| | | | - Shane Crotty
- La Jolla Institute for Immunology, La Jolla, California.,University of California San Diego, Department of Medicine, California
| | - Andrew G Letizia
- Naval Medical Research Center, Silver Spring, Maryland.,Naval Medical Research Unit-2-Asia, Singapore
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19
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Cappuccio A, Geis J, Ge Y, Nair VD, Ramalingam N, Mao W, Chikina M, Letizia AG, Sealfon SC. Earlier detection of SARS‐CoV‐2 infection by blood RNA signature microfluidics assay. Clinical and Translational Dis 2022; 2:e47. [PMID: 35942160 PMCID: PMC9349572 DOI: 10.1002/ctd2.47] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Revised: 03/29/2022] [Accepted: 03/29/2022] [Indexed: 11/13/2022]
Affiliation(s)
- Antonio Cappuccio
- Department of Neurology Icahn School of Medicine at Mount Sinai New York New York USA
| | | | - Yongchao Ge
- Department of Neurology Icahn School of Medicine at Mount Sinai New York New York USA
| | - Venugopalan D. Nair
- Department of Neurology Icahn School of Medicine at Mount Sinai New York New York USA
| | | | - Weiguang Mao
- Department of Computational and Systems Biology School of Medicine University of Pittsburgh Pittsburgh Pennsylvania USA
| | - Maria Chikina
- Department of Computational and Systems Biology School of Medicine University of Pittsburgh Pittsburgh Pennsylvania USA
| | | | - Stuart C. Sealfon
- Department of Neurology Icahn School of Medicine at Mount Sinai New York New York USA
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20
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Letizia AG, Goforth CW, Ge Y, Termini MS, Schilling MA, Sugiharto VA, Chen HW, Ramos I, Sealfon SC. Lessons Learned From a Prospective Observational Study of U.S. Marine Recruits During a Supervised Quarantine, Spring‒Fall 2020. AJPM Focus 2022; 1:100003. [PMID: 36896336 PMCID: PMC9485796 DOI: 10.1016/j.focus.2022.100003] [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] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/02/2022]
Abstract
Introduction Quarantining is commonly used to mitigate the spread of SARS-CoV-2. However, questions remain regarding what specific interventions are most effective. Methods After a 2-week home quarantine, U.S. Marine Corps recruits underwent a supervised 2-week quarantine at a hotel from August 11 to September 21, 2020. All recruits were assessed for symptoms through oral questioning and had their temperatures checked daily. Study participants answered a written clinical questionnaire and were tested for SARS-CoV-2 by polymerase chain reaction shortly after arrival in quarantine and on Days 7 and 14. The results were compared with those of a previously reported Marine-supervised quarantine at a college campus from May until July 2020 utilizing the same study, laboratory, and statistical procedures. Results A total of 1,401 of 1,514 eligible recruits (92.5%) enrolled in the study, 93.1% of whom were male. At the time of enrollment, 12 of 1,401 (0.9%) participants were polymerase chain reaction positive for SARS-CoV-2, 9 of 1,376 (0.7%) were positive on Day 7, and 1 of 1,358 (0.1%) was positive on Day 14. Only 12 of 22 (54.5%) participants endorsed any symptoms on a study questionnaire, and none of the participants had an elevated temperature or endorsed symptoms during daily screening for SARS-CoV-2. Participation rate (92%) was much greater than the approximately 58.8% (1,848 of 3,143) rate observed in the previous Marine-supervised college campus quarantine, suggesting the changing attitudes of recruits during the pandemic (p<0.001). Approximately 1% of participants were quantitative polymerase chain reaction positive after self-quarantine in both studies. Conclusions Key findings include the shifting attitudes of young adults during the pandemic, the limitations of self-quarantine, and the ineffectiveness of daily temperature and symptom screening to identify SARS-CoV-2‒positive recruits.
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Affiliation(s)
- Andrew G Letizia
- Naval Medical Research Center, Navy Medicine, Silver Spring, Maryland
| | - Carl W Goforth
- Naval Medical Research Center, Navy Medicine, Silver Spring, Maryland
| | - Yongchao Ge
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Michael S Termini
- Navy Medicine Readiness and Training Command Beaufort, Navy Medicine, Beaufort, South Carolina
| | - Megan A Schilling
- Naval Medical Research Center, Navy Medicine, Silver Spring, Maryland
| | - Victor A Sugiharto
- Naval Medical Research Center, Navy Medicine, Silver Spring, Maryland.,Henry M Jackson Foundation for the Advancement of Military Medicine, Bethesda, Maryland
| | - Hua Wei Chen
- Naval Medical Research Center, Navy Medicine, Silver Spring, Maryland.,Henry M Jackson Foundation for the Advancement of Military Medicine, Bethesda, Maryland
| | - Irene Ramos
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Stuart C Sealfon
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, New York
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Pathak GA, Karjalainen J, Stevens C, Neale BM, Daly M, Ganna A, Andrews SJ, Kanai M, Cordioli M, Polimanti R, Harerimana N, Pirinen M, Liao RG, Chwialkowska K, Trankiem A, Balaconis MK, Nguyen H, Solomonson M, Veerapen K, Wolford B, Roberts G, Park D, Ball CA, Coignet M, McCurdy S, Knight S, Partha R, Rhead B, Zhang M, Berkowitz N, Gaddis M, Noto K, Ruiz L, Pavlovic M, Hong EL, Rand K, Girshick A, Guturu H, Baltzell AH, Niemi MEK, Rahmouni S, Guntz J, Beguin Y, Cordioli M, Pigazzini S, Nkambule L, Georges M, Moutschen M, Misset B, Darcis G, Guiot J, Azarzar S, Gofflot S, Claassen S, Malaise O, Huynen P, Meuris C, Thys M, Jacques J, Léonard P, Frippiat F, Giot JB, Sauvage AS, Frenckell CV, Belhaj Y, Lambermont B, Nakanishi T, Morrison DR, Mooser V, Richards JB, Butler-Laporte G, Forgetta V, Li R, Ghosh B, Laurent L, Belisle A, Henry D, Abdullah T, Adeleye O, Mamlouk N, Kimchi N, Afrasiabi Z, Rezk N, Vulesevic B, Bouab M, Guzman C, Petitjean L, Tselios C, Xue X, Afilalo J, Afilalo M, Oliveira M, Brenner B, Brassard N, Durand M, Schurr E, Lepage P, Ragoussis J, Auld D, Chassé M, Kaufmann DE, Lathrop GM, Adra D, Hayward C, Glessner JT, Shaw DM, Campbell A, Morris M, Hakonarson H, Porteous DJ, Below J, Richmond A, Chang X, Polikowski H, Lauren PE, Chen HH, Wanying Z, Fawns-Ritchie C, North K, McCormick JB, Chang X, Glessner JR, Hakonarson H, Gignoux CR, Wicks SJ, Crooks K, Barnes KC, Daya M, Shortt J, Rafaels N, Chavan S, Timmers PRHJ, Wilson JF, Tenesa A, Kerr SM, D’Mellow K, Shahin D, El-Sherbiny YM, von Hohenstaufen KA, Sobh A, Eltoukhy MM, Nkambul L, Elhadidy TA, Abd Elghafar MS, El-Jawhari JJ, Mohamed AAS, Elnagdy MH, Samir A, Abdel-Aziz M, Khafaga WT, El-Lawaty WM, Torky MS, El-shanshory MR, Yassen AM, Hegazy MAF, Okasha K, Eid MA, Moahmed HS, Medina-Gomez C, Ikram MA, Uitterlinden AG, Mägi R, Milani L, Metspalu A, Laisk T, Läll K, Lepamets M, Esko T, Reimann E, Naaber P, Laane E, Pesukova J, Peterson P, Kisand K, Tabri J, Allos R, Hensen K, Starkopf J, Ringmets I, Tamm A, Kallaste A, Alavere H, Metsalu K, Puusepp M, Batini C, Tobin MD, Venn LD, Lee PH, Shrine N, Williams AT, Guyatt AL, John C, Packer RJ, Ali A, Free RC, Wang X, Wain LV, Hollox EJ, Bee CE, Adams EL, Palotie A, Ripatti S, Ruotsalainen S, Kristiansson K, Koskelainen S, Perola M, Donner K, Kivinen K, Palotie A, Kaunisto M, Rivolta C, Bochud PY, Bibert S, Boillat N, Nussle SG, Albrich W, Quinodoz M, Kamdar D, Suh N, Neofytos D, Erard V, Voide C, Bochud PY, Rivolta C, Bibert S, Quinodoz M, Kamdar D, Neofytos D, Erard V, Voide C, Friolet R, Vollenweider P, Pagani JL, Oddo M, zu Bentrup FM, Conen A, Clerc O, Marchetti O, Guillet A, Guyat-Jacques C, Foucras S, Rime M, Chassot J, Jaquet M, Viollet RM, Lannepoudenx Y, Portopena L, Bochud PY, Vollenweider P, Pagani JL, Desgranges F, Filippidis P, Guéry B, Haefliger D, Kampouri EE, Manuel O, Munting A, Papadimitriou-Olivgeris M, Regina J, Rochat-Stettler L, Suttels V, Tadini E, Tschopp J, Van Singer M, Viala B, Boillat-Blanco N, Brahier T, Hügli O, Meuwly JY, Pantet O, Gonseth Nussle S, Bochud M, D’Acremont V, Estoppey Younes S, Albrich WC, Suh N, Cerny A, O’Mahony L, von Mering C, Bochud PY, Frischknecht M, Kleger GR, Filipovic M, Kahlert CR, Wozniak H, Negro TR, Pugin J, Bouras K, Knapp C, Egger T, Perret A, Montillier P, di Bartolomeo C, Barda B, de Cid R, Carreras A, Moreno V, Kogevinas M, Galván-Femenía I, Blay N, Farré X, Sumoy L, Cortés B, Mercader JM, Guindo-Martinez M, Torrents D, Garcia-Aymerich J, Castaño-Vinyals G, Dobaño C, Gori M, Renieri A, Mari F, Mondelli MU, Castelli F, Vaghi M, Rusconi S, Montagnani F, Bargagli E, Franchi F, Mazzei MA, Cantarini L, Tacconi D, Feri M, Scala R, Spargi G, Nencioni C, Bandini M, Caldarelli GP, Canaccini A, Ognibene A, D’Arminio Monforte A, Girardis M, Antinori A, Francisci D, Schiaroli E, Scotton PG, Panese S, Scaggiante R, Monica MD, Capasso M, Fiorentino G, Castori M, Aucella F, Biagio AD, Masucci L, Valente S, Mandalà M, Zucchi P, Giannattasio F, Coviello DA, Mussini C, Tavecchia L, Crotti L, Rizzi M, Rovere MTL, Sarzi-Braga S, Bussotti M, Ravaglia S, Artuso R, Perrella A, Romani D, Bergomi P, Catena E, Vincenti A, Ferri C, Grassi D, Pessina G, Tumbarello M, Pietro MD, Sabrina R, Luchi S, Furini S, Dei S, Benetti E, Picchiotti N, Sanarico M, Ceri S, Pinoli P, Raimondi F, Biscarini F, Stella A, Zguro K, Capitani K, Nkambule L, Tanfoni M, Fallerini C, Daga S, Baldassarri M, Fava F, Frullanti E, Valentino F, Doddato G, Giliberti A, Tita R, Amitrano S, Bruttini M, Croci S, Meloni I, Mencarelli MA, Rizzo CL, Pinto AM, Beligni G, Tommasi A, Sarno LD, Palmieri M, Carriero ML, Alaverdian D, Busani S, Bruno R, Vecchia M, Belli MA, Mantovani S, Ludovisi S, Quiros-Roldan E, Antoni MD, Zanella I, Siano M, Emiliozzi A, Fabbiani M, Rossetti B, Bergantini L, D’Alessandro M, Cameli P, Bennett D, Anedda F, Marcantonio S, Scolletta S, Guerrini S, Conticini E, Frediani B, Spertilli C, Donati A, Guidelli L, Corridi M, Croci L, Piacentini P, Desanctis E, Cappelli S, Verzuri A, Anemoli V, Pancrazzi A, Lorubbio M, Miraglia FG, Venturelli S, Cossarizza A, Vergori A, Gabrieli A, Riva A, Paciosi F, Andretta F, Gatti F, Parisi SG, Baratti S, Piscopo C, Russo R, Andolfo I, Iolascon A, Carella M, Merla G, Squeo GM, Raggi P, Marciano C, Perna R, Bassetti M, Sanguinetti M, Giorli A, Salerni L, Parravicini P, Menatti E, Trotta T, Coiro G, Lena F, Martinelli E, Mancarella S, Gabbi C, Maggiolo F, Ripamonti D, Bachetti T, Suardi C, Parati G, Bottà G, Domenico PD, Rancan I, Bianchi F, Colombo R, Barbieri C, Acquilini D, Andreucci E, Segala FV, Tiseo G, Falcone M, Lista M, Poscente M, Vivo OD, Petrocelli P, Guarnaccia A, Baroni S, Hayward C, Porteous DJ, Fawns-Ritchie C, Richmond A, Campbell A, van Heel DA, Hunt KA, Trembath RC, Huang QQ, Martin HC, Mason D, Trivedi B, Wright J, Finer S, Akhtar S, Anwar M, Arciero E, Ashraf S, Breen G, Chung R, Curtis CJ, Chowdhury M, Colligan G, Deloukas P, Durham C, Finer S, Griffiths C, Huang QQ, Hurles M, Hunt KA, Hussain S, Islam K, Khan A, Khan A, Lavery C, Lee SH, Lerner R, MacArthur D, MacLaughlin B, Martin H, Mason D, Miah S, Newman B, Safa N, Tahmasebi F, Trembath RC, Trivedi B, van Heel DA, Wright J, Griffiths CJ, Smith AV, Boughton AP, Li KW, LeFaive J, Annis A, Niavarani A, Aliannejad R, Sharififard B, Amirsavadkouhi A, Naderpour Z, Tadi HA, Aleagha AE, Ahmadi S, Moghaddam SBM, Adamsara A, Saeedi M, Abdollahi H, Hosseini A, Chariyavilaskul P, Jantarabenjakul W, Hirankarn N, Chamnanphon M, Suttichet TB, Shotelersuk V, Pongpanich M, Phokaew C, Chetruengchai W, Putchareon O, Torvorapanit P, Puthanakit T, Suchartlikitwong P, Nilaratanakul V, Sodsai P, Brumpton BM, Hveem K, Willer C, Wolford B, Zhou W, Rogne T, Solligard E, Åsvold BO, Franke L, Boezen M, Deelen P, Claringbould A, Lopera E, Warmerdam R, Vonk JM, van Blokland I, Lanting P, Ori APS, Feng YCA, Mercader J, Weiss ST, Karlson EW, Smoller JW, Murphy SN, Meigs JB, Woolley AE, Green RC, Perez EF, Wolford B, Zöllner S, Wang J, Beck A, Sloofman LG, Ascolillo S, Sebra RP, Collins BL, Levy T, Buxbaum JD, Sealfon SC, Jordan DM, Thompson RC, Gettler K, Chaudhary K, Belbin GM, Preuss M, Hoggart C, Choi S, Underwood SJ, Salib I, Britvan B, Keller K, Tang L, Peruggia M, Hiester LL, Niblo K, Aksentijevich A, Labkowsky A, Karp A, Zlatopolsky M, Zyndorf M, Charney AW, Beckmann ND, Schadt EE, Abul-Husn NS, Cho JH, Itan Y, Kenny EE, Loos RJF, Nadkarni GN, Do R, O’Reilly P, Huckins LM, Ferreira MAR, Abecasis GR, Leader JB, Cantor MN, Justice AE, Carey DJ, Chittoor G, Josyula NS, Kosmicki JA, Horowitz JE, Baras A, Gass MC, Yadav A, Mirshahi T, Hottenga JJ, Bartels M, de geus EEJC, Nivard MMG, Verma A, Ritchie MD, Rader D, Li B, Verma SS, Lucas A, Bradford Y, Abedalthagafi M, Alaamery M, Alshareef A, Sawaji M, Massadeh S, AlMalik A, Alqahtani S, Baraka D, Harthi FA, Alsolm E, Safieh LA, Alowayn AM, Alqubaishi F, Mutairi AA, Mangul S, Almutairi M, Aljawini N, Albesher N, Arabi YM, Mahmoud ES, Khattab AK, Halawani RT, Alahmadey ZZ, Albakri JK, Felemban WA, Suliman BA, Hasanato R, Al-Awdah L, Alghamdi J, AlZahrani D, AlJohani S, Al-Afghani H, AlDhawi N, AlBardis H, Alkwai S, Alswailm M, Almalki F, Albeladi M, Almohammed I, Barhoush E, Albader A, Alotaibi S, Alghamdi B, Jung J, fawzy MS, Alrashed M, Zeberg H, Nkambul L, Frithiof R, Hultström M, Lipcsey M, Tardif N, Rooyackers O, Grip J, Maricic T, Helgeland Ø, Magnus P, Trogstad LIS, Lee Y, Harris JR, Mangino M, Spector TD, Emma D, Moutsianas L, Caulfield MJ, Scott RH, Kousathanas A, Pasko D, Walker S, Stuckey A, Odhams CA, Rhodes D, Fowler T, Rendon A, Chan G, Arumugam P, Karczewski KJ, Martin AR, Wilson DJ, Spencer CCA, Crook DW, Wyllie DH, O’Connell AM, Atkinson EG, Kanai M, Tsuo K, Baya N, Turley P, Gupta R, Walters RK, Palmer DS, Sarma G, Solomonson M, Cheng N, Lu W, Churchhouse C, Goldstein JI, King D, Zhou W, Seed C, Daly MJ, Neale BM, Finucane H, Bryant S, Satterstrom FK, Band G, Earle SG, Lin SK, Arning N, Koelling N, Armstrong J, Rudkin JK, Callier S, Bryant S, Cusick C, Soranzo N, Zhao JH, Danesh J, Angelantonio ED, Butterworth AS, Sun YV, Huffman JE, Cho K, O’Donnell CJ, Tsao P, Gaziano JM, Peloso G, Ho YL, Smieszek SP, Polymeropoulos C, Polymeropoulos V, Polymeropoulos MH, Przychodzen BP, Fernandez-Cadenas I, Planas AM, Perez-Tur J, Llucià-Carol L, Cullell N, Muiño E, Cárcel-Márquez J, DeDiego ML, Iglesias LL, Soriano A, Rico V, Agüero D, Bedini JL, Lozano F, Domingo C, Robles V, Ruiz-Jaén F, Márquez L, Gomez J, Coto E, Albaiceta GM, García-Clemente M, Dalmau D, Arranz MJ, Dietl B, Serra-Llovich A, Soler P, Colobrán R, Martín-Nalda A, Martínez AP, Bernardo D, Rojo S, Fiz-López A, Arribas E, de la Cal-Sabater P, Segura T, González-Villa E, Serrano-Heras G, Martí-Fàbregas J, Jiménez-Xarrié E, de Felipe Mimbrera A, Masjuan J, García-Madrona S, Domínguez-Mayoral A, Villalonga JM, Menéndez-Valladares P, Chasman DI, Sesso HD, Manson JE, Buring JE, Ridker PM, Franco G, Davis L, Lee S, Priest J, Sankaran VG, van Heel D, Biesecker L, Kerchberger VE, Baillie JK. A first update on mapping the human genetic architecture of COVID-19. Nature 2022; 608:E1-E10. [PMID: 35922517 PMCID: PMC9352569 DOI: 10.1038/s41586-022-04826-7] [Citation(s) in RCA: 52] [Impact Index Per Article: 26.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2021] [Accepted: 04/29/2022] [Indexed: 01/04/2023]
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Kato Y, Bloom NI, Sun P, Balinsky CA, Qiu Q, Cheng Y, Jani V, Schilling MA, Goforth CW, Weir DL, Ramos I, Sealfon SC, Letizia AG, Crotty S. Memory B-Cell Development After Asymptomatic or Mild Symptomatic SARS-CoV-2 Infection. J Infect Dis 2022; 227:18-22. [PMID: 35892131 PMCID: PMC9384564 DOI: 10.1093/infdis/jiac319] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2022] [Revised: 07/16/2022] [Accepted: 07/25/2022] [Indexed: 01/19/2023] Open
Abstract
BACKGROUND The development of memory B cells after asymptomatic severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection is not well understood. METHODS We compared spike antibody titers, pseudovirus neutralizing antibody titers, and memory B-cell responses among SARS-CoV-2 PCR-positive Marine recruits who either reported asymptomatic or symptomatic infection. RESULTS Thirty-six asymptomatic participants exhibited similar spike IgG titers, spike IgA titers, and pseudovirus neutralization titers compared to 30 symptomatic participants. Pseudovirus neutralization and spike IgG titers showed significant positive correlations with frequency of memory B cells. CONCLUSIONS Among young adults, asymptomatic SARS-CoV-2 infection induced antibody and memory B-cell responses comparable to mild symptomatic infection.
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Affiliation(s)
- Yu Kato
- Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, La Jolla, California, USA
| | - Nathaniel I Bloom
- Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, La Jolla, California, USA
| | - Peifang Sun
- Naval Medical Research Center, Silver Spring, Maryland, USA
| | | | - Qi Qiu
- Henry Jackson Foundation, Bethesda, Maryland, USA
| | | | - Vihasi Jani
- Henry Jackson Foundation, Bethesda, Maryland, USA
| | | | - Carl W Goforth
- Naval Medical Research Center, Silver Spring, Maryland, USA
| | - Dawn L Weir
- Naval Medical Research Center, Silver Spring, Maryland, USA
| | - Irene Ramos
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Stuart C Sealfon
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Andrew G Letizia
- Correspondence: A. G. Letizia, MD, Naval Medical Research Center, 503 Robert Grant Avenue, Silver Spring, MD 20910 ()
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Schang G, Ongaro L, Brûlé E, Zhou X, Wang Y, Boehm U, Ruf-Zamojski F, Zamojski M, Mendelev N, Seenarine N, Amper MA, Nair V, Ge Y, Sealfon SC, Bernard DJ. Transcription factor GATA2 may potentiate follicle-stimulating hormone production in mice via induction of the BMP antagonist gremlin in gonadotrope cells. J Biol Chem 2022; 298:102072. [PMID: 35643321 PMCID: PMC9251782 DOI: 10.1016/j.jbc.2022.102072] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Revised: 05/15/2022] [Accepted: 05/22/2022] [Indexed: 11/29/2022] Open
Abstract
Mammalian reproduction depends on the gonadotropins, follicle-stimulating hormone (FSH), and luteinizing hormone, which are secreted by pituitary gonadotrope cells. The zinc-finger transcription factor GATA2 was previously implicated in FSH production in male mice; however, its mechanisms of action and role in females were not determined. To directly address GATA2 function in gonadotropes, we generated and analyzed gonadotrope-specific Gata2 KO mice using the Cre-lox system. We found that while conditional KO (cKO) males exhibited ∼50% reductions in serum FSH levels and pituitary FSHβ subunit (Fshb) expression relative to controls, FSH production was apparently normal in cKO females. In addition, RNA-seq analysis of purified gonadotropes from control and cKO males revealed a profound decrease in expression of gremlin (Grem1), a bone morphogenetic protein (BMP) antagonist. We show Grem1 was expressed in gonadotropes, but not other cell lineages, in the adult male mouse pituitary. Furthermore, Gata2, Grem1, and Fshb mRNA levels were significantly higher in the pituitaries of WT males relative to females but decreased in males treated with estradiol and increased following ovariectomy in control but not cKO females. Finally, we found that recombinant gremlin stimulated Fshb expression in pituitary cultures from WT mice. Collectively, the data suggest that GATA2 promotes Grem1 expression in gonadotropes and that the gremlin protein potentiates FSH production. The mechanisms of gremlin action have not yet been established but may involve attenuation of BMP binding to activin type II receptors in gonadotropes, facilitating induction of Fshb transcription by activins or related ligands.
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Affiliation(s)
- Gauthier Schang
- Department of Pharmacology and Therapeutics, McGill University, Montréal, Québec, Canada
| | - Luisina Ongaro
- Department of Pharmacology and Therapeutics, McGill University, Montréal, Québec, Canada
| | - Emilie Brûlé
- Department of Anatomy and Cell Biology, McGill University, Montréal, Québec, Canada
| | - Xiang Zhou
- Department of Pharmacology and Therapeutics, McGill University, Montréal, Québec, Canada
| | - Ying Wang
- Department of Pharmacology and Therapeutics, McGill University, Montréal, Québec, Canada
| | - Ulrich Boehm
- Department of Experimental Pharmacology, Center for Molecular Signaling, Saarland University School of Medicine, Homburg, Germany
| | - Frederique Ruf-Zamojski
- Department of Neurology, Center for Advanced Research on Diagnostic Assays, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Michel Zamojski
- Department of Neurology, Center for Advanced Research on Diagnostic Assays, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Natalia Mendelev
- Department of Neurology, Center for Advanced Research on Diagnostic Assays, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Nitish Seenarine
- Department of Neurology, Center for Advanced Research on Diagnostic Assays, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Mary Anne Amper
- Department of Neurology, Center for Advanced Research on Diagnostic Assays, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Venugopalan Nair
- Department of Neurology, Center for Advanced Research on Diagnostic Assays, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Yongchao Ge
- Department of Neurology, Center for Advanced Research on Diagnostic Assays, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Stuart C Sealfon
- Department of Neurology, Center for Advanced Research on Diagnostic Assays, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Daniel J Bernard
- Department of Pharmacology and Therapeutics, McGill University, Montréal, Québec, Canada; Department of Anatomy and Cell Biology, McGill University, Montréal, Québec, Canada.
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Soares-Schanoski A, Sauerwald N, Goforth CW, Periasamy S, Weir DL, Lizewski S, Lizewski R, Ge Y, Kuzmina NA, Nair VD, Vangeti S, Marjanovic N, Cappuccio A, Cheng WS, Mofsowitz S, Miller CM, Yu XB, George MC, Zaslavsky E, Bukreyev A, Troyanskaya OG, Sealfon SC, Letizia AG, Ramos I. Asymptomatic SARS-CoV-2 Infection Is Associated With Higher Levels of Serum IL-17C, Matrix Metalloproteinase 10 and Fibroblast Growth Factors Than Mild Symptomatic COVID-19. Front Immunol 2022; 13:821730. [PMID: 35479098 PMCID: PMC9037090 DOI: 10.3389/fimmu.2022.821730] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Accepted: 03/11/2022] [Indexed: 12/12/2022] Open
Abstract
Young adults infected with SARS-CoV-2 are frequently asymptomatic or develop only mild disease. Because capturing representative mild and asymptomatic cases require active surveillance, they are less characterized than moderate or severe cases of COVID-19. However, a better understanding of SARS-CoV-2 asymptomatic infections might shed light into the immune mechanisms associated with the control of symptoms and protection. To this aim, we have determined the temporal dynamics of the humoral immune response, as well as the serum inflammatory profile, of mild and asymptomatic SARS-CoV-2 infections in a cohort of 172 initially seronegative prospectively studied United States Marine recruits, 149 of whom were subsequently found to be SARS-CoV-2 infected. The participants had blood samples taken, symptoms surveyed and PCR tests for SARS-CoV-2 performed periodically for up to 105 days. We found similar dynamics in the profiles of viral load and in the generation of specific antibody responses in asymptomatic and mild symptomatic participants. A proteomic analysis using an inflammatory panel including 92 analytes revealed a pattern of three temporal waves of inflammatory and immunoregulatory mediators, and a return to baseline for most of the inflammatory markers by 35 days post-infection. We found that 23 analytes were significantly higher in those participants that reported symptoms at the time of the first positive SARS-CoV-2 PCR compared with asymptomatic participants, including mostly chemokines and cytokines associated with inflammatory response or immune activation (i.e., TNF-α, TNF-β, CXCL10, IL-8). Notably, we detected 7 analytes (IL-17C, MMP-10, FGF-19, FGF-21, FGF-23, CXCL5 and CCL23) that were higher in asymptomatic participants than in participants with symptoms; these are known to be involved in tissue repair and may be related to the control of symptoms. Overall, we found a serum proteomic signature that differentiates asymptomatic and mild symptomatic infections in young adults, including potential targets for developing new therapies and prognostic tests.
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Affiliation(s)
| | - Natalie Sauerwald
- Center for Computational Biology, Flatiron Institute, New York, NY, United States
| | - Carl W Goforth
- Naval Medical Research Center, Silver Spring, MD, United States
| | - Sivakumar Periasamy
- Department of Pathology, University of Texas Medical Branch, Galveston, TX, United States.,Galveston National Laboratory, Galveston, TX, United States
| | - Dawn L Weir
- Naval Medical Research Center, Silver Spring, MD, United States
| | | | | | - Yongchao Ge
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Natalia A Kuzmina
- Department of Pathology, University of Texas Medical Branch, Galveston, TX, United States.,Galveston National Laboratory, Galveston, TX, United States
| | - Venugopalan D Nair
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Sindhu Vangeti
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Nada Marjanovic
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Antonio Cappuccio
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Wan Sze Cheng
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Sagie Mofsowitz
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Clare M Miller
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Xuechen B Yu
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Mary-Catherine George
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Elena Zaslavsky
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Alexander Bukreyev
- Department of Pathology, University of Texas Medical Branch, Galveston, TX, United States.,Galveston National Laboratory, Galveston, TX, United States.,Department of Microbiology & Immunology, University of Texas Medical Branch, Galveston, TX, United States
| | - Olga G Troyanskaya
- Center for Computational Biology, Flatiron Institute, New York, NY, United States.,Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, United States.,Department of Computer Science, Princeton University, Princeton, NJ, United States
| | - Stuart C Sealfon
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | | | - Irene Ramos
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, United States.,Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States
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25
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Sedegah M, Porter C, Hollingdale MR, Ganeshan H, Huang J, Goforth CW, Belmonte M, Belmonte A, Weir DL, Lizewski RA, Lizewski SE, Sealfon SC, Jani V, Cheng Y, Inoue S, Velasco R, Villasante E, Sun P, Letizia AG. CHARM: COVID-19 Health Action Response for Marines-Association of antigen-specific interferon-gamma and IL2 responses with asymptomatic and symptomatic infections after a positive qPCR SARS-CoV-2 test. PLoS One 2022; 17:e0266691. [PMID: 35390102 PMCID: PMC8989306 DOI: 10.1371/journal.pone.0266691] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Accepted: 03/24/2022] [Indexed: 11/30/2022] Open
Abstract
SARS-CoV-2 T cell responses are associated with COVID-19 recovery, and Class I- and Class II-restricted epitopes have been identified in the spike (S), nucleocapsid (N) and membrane (M) proteins and others. This prospective COVID-19 Health Action Response for Marines (CHARM) study enabled assessment of T cell responses against S, N and M proteins in symptomatic and asymptomatic SARS-CoV-2 infected participants. At enrollment all participants were negative by qPCR; follow-up occurred biweekly and bimonthly for the next 6 weeks. Study participants who tested positive by qPCR SARS-CoV-2 test were enrolled in an immune response sub-study. FluoroSpot interferon-gamma (IFN-γ) and IL2 responses following qPCR-confirmed infection at enrollment (day 0), day 7 and 14 and more than 28 days later were measured using pools of 17mer peptides covering S, N, and M proteins, or CD4+CD8 peptide pools containing predicted epitopes from multiple SARS-CoV-2 antigens. Among 124 asymptomatic and 105 symptomatic participants, SARS-CoV-2 infection generated IFN-γ responses to the S, N and M proteins that persisted longer in asymptomatic cases. IFN-γ responses were significantly (p = 0.001) more frequent to the N pool (51.4%) than the M pool (18.9%) among asymptomatic but not symptomatic subjects. Asymptomatic IFN-γ responders to the CD4+CD8 pool responded more frequently to the S pool (55.6%) and N pool (57.1%), than the M pool (7.1%), but not symptomatic participants. The frequencies of IFN-γ responses to the S and N+M pools peaked 7 days after the positive qPCR test among asymptomatic (S pool: 22.2%; N+M pool: 28.7%) and symptomatic (S pool: 15.3%; N+M pool 21.9%) participants and dropped by >28 days. Magnitudes of post-infection IFN-γ and IL2 responses to the N+M pool were significantly correlated with IFN-γ and IL2 responses to the N and M pools. These data further support the central role of Th1-biased cell mediated immunity IFN-γ and IL2 responses, particularly to the N protein, in controlling COVID-19 symptoms, and justify T cell-based COVID-19 vaccines that include the N and S proteins.
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Affiliation(s)
- Martha Sedegah
- Agile Vaccines and Therapeutics Department, Naval Medical Research Center, Silver Spring, MD, United States of America
| | - Chad Porter
- Virology Department, Naval Medical Research Center, Silver Spring, MD, United States of America
| | - Michael R. Hollingdale
- Agile Vaccines and Therapeutics Department, Naval Medical Research Center, Silver Spring, MD, United States of America
- Henry M. Jackson Foundation, Bethesda, MD, United States of America
| | - Harini Ganeshan
- Agile Vaccines and Therapeutics Department, Naval Medical Research Center, Silver Spring, MD, United States of America
- Henry M. Jackson Foundation, Bethesda, MD, United States of America
| | - Jun Huang
- Agile Vaccines and Therapeutics Department, Naval Medical Research Center, Silver Spring, MD, United States of America
- Henry M. Jackson Foundation, Bethesda, MD, United States of America
| | - Carl W. Goforth
- Virology Department, Naval Medical Research Center, Silver Spring, MD, United States of America
| | - Maria Belmonte
- Agile Vaccines and Therapeutics Department, Naval Medical Research Center, Silver Spring, MD, United States of America
- Henry M. Jackson Foundation, Bethesda, MD, United States of America
| | - Arnel Belmonte
- Agile Vaccines and Therapeutics Department, Naval Medical Research Center, Silver Spring, MD, United States of America
- GDIT, MD, United States of America
| | - Dawn L. Weir
- Virology Department, Naval Medical Research Center, Silver Spring, MD, United States of America
| | | | | | - Stuart C. Sealfon
- Icahn School of Medicine at Mount Sinai, New York, NY, United States of America
| | - Vihasi Jani
- Virology Department, Naval Medical Research Center, Silver Spring, MD, United States of America
- Henry M. Jackson Foundation, Bethesda, MD, United States of America
| | - Ying Cheng
- Virology Department, Naval Medical Research Center, Silver Spring, MD, United States of America
- Leidos, Reston, VA, United States of America
| | - Sandra Inoue
- Agile Vaccines and Therapeutics Department, Naval Medical Research Center, Silver Spring, MD, United States of America
- GDIT, MD, United States of America
| | - Rachael Velasco
- Agile Vaccines and Therapeutics Department, Naval Medical Research Center, Silver Spring, MD, United States of America
| | - Eileen Villasante
- Agile Vaccines and Therapeutics Department, Naval Medical Research Center, Silver Spring, MD, United States of America
| | - Peifang Sun
- Virology Department, Naval Medical Research Center, Silver Spring, MD, United States of America
| | - Andrew G. Letizia
- Virology Department, Naval Medical Research Center, Silver Spring, MD, United States of America
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26
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Fueyo-González F, McGinty M, Ningoo M, Anderson L, Cantarelli C, Andrea Angeletti, Demir M, Llaudó I, Purroy C, Marjanovic N, Heja D, Sealfon SC, Heeger PS, Cravedi P, Fribourg M. Interferon-β acts directly on T cells to prolong allograft survival by enhancing regulatory T cell induction through Foxp3 acetylation. Immunity 2022; 55:459-474.e7. [PMID: 35148827 PMCID: PMC8917088 DOI: 10.1016/j.immuni.2022.01.011] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2020] [Revised: 06/18/2021] [Accepted: 01/13/2022] [Indexed: 12/19/2022]
Abstract
Type I interferons (IFNs) are pleiotropic cytokines with potent antiviral properties that also promote protective T cell and humoral immunity. Paradoxically, type I IFNs, including the widely expressed IFNβ, also have immunosuppressive properties, including promoting persistent viral infections and treating T-cell-driven, remitting-relapsing multiple sclerosis. Although associative evidence suggests that IFNβ mediates these immunosuppressive effects by impacting regulatory T (Treg) cells, mechanistic links remain elusive. Here, we found that IFNβ enhanced graft survival in a Treg-cell-dependent murine transplant model. Genetic conditional deletion models revealed that the extended allograft survival was Treg cell-mediated and required IFNβ signaling on T cells. Using an in silico computational model and analysis of human immune cells, we found that IFNβ directly promoted Treg cell induction via STAT1- and P300-dependent Foxp3 acetylation. These findings identify a mechanistic connection between the immunosuppressive effects of IFNβ and Treg cells, with therapeutic implications for transplantation, autoimmunity, and malignancy.
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Affiliation(s)
- Francisco Fueyo-González
- Division of Nephrology, Department of Medicine, Translational Transplant Research Center, Icahn School of Medicine at Mount Sinai, New York City, NY, USA; Immunology Institute Icahn School of Medicine at Mount Sinai, New York City, NY, USA
| | - Mitchell McGinty
- Carter Immunology Center, University of Virginia, Charlottesville, VA 22903, USA
| | - Mehek Ningoo
- Division of Nephrology, Department of Medicine, Translational Transplant Research Center, Icahn School of Medicine at Mount Sinai, New York City, NY, USA; Immunology Institute Icahn School of Medicine at Mount Sinai, New York City, NY, USA
| | - Lisa Anderson
- Division of Nephrology, Department of Medicine, Translational Transplant Research Center, Icahn School of Medicine at Mount Sinai, New York City, NY, USA; Immunology Institute Icahn School of Medicine at Mount Sinai, New York City, NY, USA
| | - Chiara Cantarelli
- UO Nefrologia, Azienda Ospedaliero-Universitaria Parma, Parma, Italy
| | - Andrea Angeletti
- Division of Nephrology, Dialysis, Transplantation, IRCCS Giannina Gaslini, Genoa, Italy
| | - Markus Demir
- Department of Anesthesiology, University of Cologne, Cologne, Germany
| | - Inés Llaudó
- Division of Nephrology, Department of Medicine, Translational Transplant Research Center, Icahn School of Medicine at Mount Sinai, New York City, NY, USA; Immunology Institute Icahn School of Medicine at Mount Sinai, New York City, NY, USA
| | - Carolina Purroy
- Department of Nephrology, Complejo Hospitalario de Navarra, Navarra, Spain
| | - Nada Marjanovic
- Immunology Institute Icahn School of Medicine at Mount Sinai, New York City, NY, USA; Department of Neurology, Icahn School of Medicine at Mount Sinai, New York City, NY, USA
| | - David Heja
- Division of Nephrology, Department of Medicine, Translational Transplant Research Center, Icahn School of Medicine at Mount Sinai, New York City, NY, USA; Immunology Institute Icahn School of Medicine at Mount Sinai, New York City, NY, USA
| | - Stuart C Sealfon
- Immunology Institute Icahn School of Medicine at Mount Sinai, New York City, NY, USA; Department of Neurology, Icahn School of Medicine at Mount Sinai, New York City, NY, USA
| | - Peter S Heeger
- Division of Nephrology, Department of Medicine, Translational Transplant Research Center, Icahn School of Medicine at Mount Sinai, New York City, NY, USA; Immunology Institute Icahn School of Medicine at Mount Sinai, New York City, NY, USA
| | - Paolo Cravedi
- Division of Nephrology, Department of Medicine, Translational Transplant Research Center, Icahn School of Medicine at Mount Sinai, New York City, NY, USA; Immunology Institute Icahn School of Medicine at Mount Sinai, New York City, NY, USA
| | - Miguel Fribourg
- Division of Nephrology, Department of Medicine, Translational Transplant Research Center, Icahn School of Medicine at Mount Sinai, New York City, NY, USA; Immunology Institute Icahn School of Medicine at Mount Sinai, New York City, NY, USA.
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27
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Zhang Z, Zamojski M, Smith GR, Willis TL, Yianni V, Mendelev N, Pincas H, Seenarine N, Amper MAS, Vasoya M, Cheng WS, Zaslavsky E, Nair VD, Turgeon JL, Bernard DJ, Troyanskaya OG, Andoniadou CL, Sealfon SC, Ruf-Zamojski F. Single nucleus transcriptome and chromatin accessibility of postmortem human pituitaries reveal diverse stem cell regulatory mechanisms. Cell Rep 2022; 38:110467. [PMID: 35263594 PMCID: PMC8957708 DOI: 10.1016/j.celrep.2022.110467] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Revised: 11/23/2021] [Accepted: 02/09/2022] [Indexed: 01/07/2023] Open
Abstract
Despite their importance in tissue homeostasis and renewal, human pituitary stem cells (PSCs) are incompletely characterized. We describe a human single nucleus RNA-seq and ATAC-seq resource from pediatric, adult, and aged postmortem pituitaries (snpituitaryatlas.princeton.edu) and characterize cell-type-specific gene expression and chromatin accessibility programs for all major pituitary cell lineages. We identify uncommitted PSCs, committing progenitor cells, and sex differences. Pseudotime trajectory analysis indicates that early-life PSCs are distinct from the other age groups. Linear modeling of same-cell multiome data identifies regulatory domain accessibility sites and transcription factors that are significantly associated with gene expression in PSCs compared with other cell types and within PSCs. We identify distinct deterministic mechanisms that contribute to heterogeneous marker expression within PSCs. These findings characterize human stem cell lineages and reveal diverse mechanisms regulating key PSC genes and cell type identity. This study profiles the gene expression and chromatin accessibility landscapes in postmortem male and female pituitaries of different ages using single nucleus multiomics technologies. Zhang et al. characterize the pituitary stem cell population and develop computational methods, which allow us to elucidate regulatory mechanisms underlying pituitary stem cell identity.
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Affiliation(s)
- Zidong Zhang
- Lewis-Sigler Institute for Integrative Genomics and Graduate Program in Quantitative and Computational Biology, Princeton University, Princeton, NJ, USA
| | - Michel Zamojski
- Department of Neurology, Center for Advanced Research on Diagnostic Assays, Icahn School of Medicine at Mount Sinai (ISMMS), New York, NY, USA
| | - Gregory R Smith
- Department of Neurology, Center for Advanced Research on Diagnostic Assays, Icahn School of Medicine at Mount Sinai (ISMMS), New York, NY, USA
| | - Thea L Willis
- Center for Craniofacial and Regenerative Biology, King's College London, London, UK
| | - Val Yianni
- Center for Craniofacial and Regenerative Biology, King's College London, London, UK
| | - Natalia Mendelev
- Department of Neurology, Center for Advanced Research on Diagnostic Assays, Icahn School of Medicine at Mount Sinai (ISMMS), New York, NY, USA
| | - Hanna Pincas
- Department of Neurology, Center for Advanced Research on Diagnostic Assays, Icahn School of Medicine at Mount Sinai (ISMMS), New York, NY, USA
| | - Nitish Seenarine
- Department of Neurology, Center for Advanced Research on Diagnostic Assays, Icahn School of Medicine at Mount Sinai (ISMMS), New York, NY, USA
| | - Mary Anne S Amper
- Department of Neurology, Center for Advanced Research on Diagnostic Assays, Icahn School of Medicine at Mount Sinai (ISMMS), New York, NY, USA
| | - Mital Vasoya
- Department of Neurology, Center for Advanced Research on Diagnostic Assays, Icahn School of Medicine at Mount Sinai (ISMMS), New York, NY, USA
| | - Wan Sze Cheng
- Department of Neurology, Center for Advanced Research on Diagnostic Assays, Icahn School of Medicine at Mount Sinai (ISMMS), New York, NY, USA
| | - Elena Zaslavsky
- Department of Neurology, Center for Advanced Research on Diagnostic Assays, Icahn School of Medicine at Mount Sinai (ISMMS), New York, NY, USA
| | - Venugopalan D Nair
- Department of Neurology, Center for Advanced Research on Diagnostic Assays, Icahn School of Medicine at Mount Sinai (ISMMS), New York, NY, USA
| | - Judith L Turgeon
- Department of Internal Medicine, University of California, Davis, Davis, CA, USA
| | - Daniel J Bernard
- Department of Pharmacology and Therapeutics, McGill University, Montreal, QC, H3G 1Y6, Canada
| | - Olga G Troyanskaya
- Lewis-Sigler Institute for Integrative Genomics and Graduate Program in Quantitative and Computational Biology, Princeton University, Princeton, NJ, USA; Department of Computer Science, Princeton University, Princeton, NJ, USA; Flatiron Institute, Simons Foundation, New York, NY, USA
| | - Cynthia L Andoniadou
- Center for Craniofacial and Regenerative Biology, King's College London, London, UK; Department of Medicine III, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.
| | - Stuart C Sealfon
- Department of Neurology, Center for Advanced Research on Diagnostic Assays, Icahn School of Medicine at Mount Sinai (ISMMS), New York, NY, USA.
| | - Frederique Ruf-Zamojski
- Department of Neurology, Center for Advanced Research on Diagnostic Assays, Icahn School of Medicine at Mount Sinai (ISMMS), New York, NY, USA.
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28
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Rubenstein AB, Hinkley JM, Nair VD, Nudelman G, Standley RA, Yi F, Yu G, Trappe TA, Bamman MM, Trappe SW, Sparks LM, Goodpaster BH, Vega RB, Sealfon SC, Zaslavsky E, Coen PM. Skeletal muscle transcriptome response to a bout of endurance exercise in physically active and sedentary older adults. Am J Physiol Endocrinol Metab 2022; 322:E260-E277. [PMID: 35068187 PMCID: PMC8897039 DOI: 10.1152/ajpendo.00378.2021] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Age-related declines in cardiorespiratory fitness and physical function are mitigated by regular endurance exercise in older adults. This may be due, in part, to changes in the transcriptional program of skeletal muscle following repeated bouts of exercise. However, the impact of chronic exercise training on the transcriptional response to an acute bout of endurance exercise has not been clearly determined. Here, we characterized baseline differences in muscle transcriptome and exercise-induced response in older adults who were active/endurance trained or sedentary. RNA-sequencing was performed on vastus lateralis biopsy specimens obtained before, immediately after, and 3 h following a bout of endurance exercise (40 min of cycling at 60%-70% of heart rate reserve). Using a recently developed bioinformatics approach, we found that transcript signatures related to type I myofibers, mitochondria, and endothelial cells were higher in active/endurance-trained adults and were associated with key phenotypic features including V̇o2peak, ATPmax, and muscle fiber proportion. Immune cell signatures were elevated in the sedentary group and linked to visceral and intermuscular adipose tissue mass. Following acute exercise, we observed distinct temporal transcriptional signatures that were largely similar among groups. Enrichment analysis revealed catabolic processes were uniquely enriched in the sedentary group at the 3-h postexercise timepoint. In summary, this study revealed key transcriptional signatures that distinguished active and sedentary adults, which were associated with difference in oxidative capacity and depot-specific adiposity. The acute response signatures were consistent with beneficial effects of endurance exercise to improve muscle health in older adults irrespective of exercise history and adiposity.NEW & NOTEWORTHY Muscle transcript signatures associated with oxidative capacity and immune cells underlie important phenotypic and clinical characteristics of older adults who are endurance trained or sedentary. Despite divergent phenotypes, the temporal transcriptional signatures in response to an acute bout of endurance exercise were largely similar among groups. These data provide new insight into the transcriptional programs of aging muscle and the beneficial effects of endurance exercise to promote healthy aging in older adults.
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Affiliation(s)
- Aliza B Rubenstein
- Department of Neurology, Center for Advanced Research on Diagnostic Assays (CARDA), Icahn School of Medicine at Mount Sinai, New York, New York
| | | | - Venugopalan D Nair
- Department of Neurology, Center for Advanced Research on Diagnostic Assays (CARDA), Icahn School of Medicine at Mount Sinai, New York, New York
| | - German Nudelman
- Department of Neurology, Center for Advanced Research on Diagnostic Assays (CARDA), Icahn School of Medicine at Mount Sinai, New York, New York
| | | | - Fanchao Yi
- AdventHealth Translational Research Institute, Orlando, Florida
| | - GongXin Yu
- AdventHealth Translational Research Institute, Orlando, Florida
| | - Todd A Trappe
- Human Performance Laboratory, Ball State University, Indianapolis, Indiana
| | - Marcas M Bamman
- Department of Cell, Developmental, and Integrative Biology, UAB Center for Exercise Medicine, University of Alabama at Birmingham, Birmingham, Alabama
| | - Scott W Trappe
- Human Performance Laboratory, Ball State University, Indianapolis, Indiana
| | - Lauren M Sparks
- AdventHealth Translational Research Institute, Orlando, Florida
| | | | - Rick B Vega
- AdventHealth Translational Research Institute, Orlando, Florida
| | - Stuart C Sealfon
- Department of Neurology, Center for Advanced Research on Diagnostic Assays (CARDA), Icahn School of Medicine at Mount Sinai, New York, New York
| | - Elena Zaslavsky
- Department of Neurology, Center for Advanced Research on Diagnostic Assays (CARDA), Icahn School of Medicine at Mount Sinai, New York, New York
| | - Paul M Coen
- AdventHealth Translational Research Institute, Orlando, Florida
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29
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Brûlé E, Wang Y, Li Y, Lin YF, Zhou X, Ongaro L, Alonso CAI, Buddle ERS, Schneyer AL, Byeon CH, Hinck CS, Mendelev N, Russell JP, Cowan M, Boehm U, Ruf-Zamojski F, Zamojski M, Andoniadou CL, Sealfon SC, Harrison CA, Walton KL, Hinck AP, Bernard DJ. TGFBR3L is an inhibin B co-receptor that regulates female fertility. Sci Adv 2021; 7:eabl4391. [PMID: 34910520 PMCID: PMC8673766 DOI: 10.1126/sciadv.abl4391] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Accepted: 10/19/2021] [Indexed: 06/14/2023]
Abstract
Follicle-stimulating hormone (FSH), a key regulator of ovarian function, is often used in infertility treatment. Gonadal inhibins suppress FSH synthesis by pituitary gonadotrope cells. The TGFβ type III receptor, betaglycan, is required for inhibin A suppression of FSH. The inhibin B co-receptor was previously unknown. Here, we report that the gonadotrope-restricted transmembrane protein, TGFBR3L, is the elusive inhibin B co-receptor. TGFBR3L binds inhibin B but not other TGFβ family ligands. TGFBR3L knockdown or overexpression abrogates or confers inhibin B activity in cells. Female Tgfbr3l knockout mice exhibit increased FSH levels, ovarian follicle development, and litter sizes. In contrast, female mice lacking both TGFBR3L and betaglycan are infertile. TGFBR3L’s function and cell-specific expression make it an attractive new target for the regulation of FSH and fertility.
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Affiliation(s)
- Emilie Brûlé
- Department of Anatomy and Cell Biology, McGill University, Montreal, Québec, Canada
| | - Ying Wang
- Department of Pharmacology and Therapeutics, McGill University, Montreal, Québec, Canada
| | - Yining Li
- Department of Pharmacology and Therapeutics, McGill University, Montreal, Québec, Canada
| | - Yeu-Farn Lin
- Department of Pharmacology and Therapeutics, McGill University, Montreal, Québec, Canada
| | - Xiang Zhou
- Department of Pharmacology and Therapeutics, McGill University, Montreal, Québec, Canada
| | - Luisina Ongaro
- Department of Pharmacology and Therapeutics, McGill University, Montreal, Québec, Canada
| | - Carlos A. I. Alonso
- Department of Pharmacology and Therapeutics, McGill University, Montreal, Québec, Canada
| | - Evan R. S. Buddle
- Department of Pharmacology and Therapeutics, McGill University, Montreal, Québec, Canada
| | | | - Chang-Hyeock Byeon
- Department of Structural Biology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Cynthia S. Hinck
- Department of Structural Biology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Natalia Mendelev
- Department of Neurology, Center for Advanced Research on Diagnostic Assays, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - John P. Russell
- Centre for Craniofacial and Regenerative Biology, King’s College London, London, UK
| | - Mitra Cowan
- McGill Integrated Core for Animal Modeling (MICAM), McGill University, Montreal, Québec, Canada
| | - Ulrich Boehm
- Department of Experimental Pharmacology, Center for Molecular Signaling, Saarland University School of Medicine, Homburg, Germany
| | - Frederique Ruf-Zamojski
- Department of Neurology, Center for Advanced Research on Diagnostic Assays, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Michel Zamojski
- Department of Neurology, Center for Advanced Research on Diagnostic Assays, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Cynthia L. Andoniadou
- Centre for Craniofacial and Regenerative Biology, King’s College London, London, UK
- Department of Medicine III, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Stuart C. Sealfon
- Department of Neurology, Center for Advanced Research on Diagnostic Assays, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Craig A. Harrison
- Department of Physiology, Monash Biomedicine Discovery Institute, Monash University, Clayton, Victoria, Australia
| | - Kelly L. Walton
- Department of Physiology, Monash Biomedicine Discovery Institute, Monash University, Clayton, Victoria, Australia
| | - Andrew P. Hinck
- Department of Structural Biology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Daniel J. Bernard
- Department of Anatomy and Cell Biology, McGill University, Montreal, Québec, Canada
- Department of Pharmacology and Therapeutics, McGill University, Montreal, Québec, Canada
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30
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Letizia AG, Arnold CE, Adhikari BN, Voegtly LJ, Glang L, Rice GK, Goforth CW, Schilling MA, Weir DL, Malagon F, Ramos I, Vangeti S, Gonzalez-Reiche AS, Cer RZ, Sealfon SC, van Bakel H, Bishop-Lilly KA. Immunological and Genetic Investigation of SARS-CoV-2 Reinfection in an Otherwise Healthy, Young Marine Recruit. Pathogens 2021; 10:pathogens10121589. [PMID: 34959544 PMCID: PMC8709254 DOI: 10.3390/pathogens10121589] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Revised: 12/05/2021] [Accepted: 12/06/2021] [Indexed: 11/16/2022] Open
Abstract
We used epidemiologic and viral genetic information to identify a case of likely reinfection in an otherwise healthy, young Marine recruit enrolled in the prospective, longitudinal COVID-19 Health Action Response for Marines (CHARM) study, and we paired these findings with serological studies. This participant had a positive RT-PCR to SARS-CoV-2 upon routine sampling on study day 7, although he was asymptomatic at that time. He cleared the infection within seven days. On study day 46, he had developed symptoms consistent with COVID-19 and tested positive by RT-PCR for SARS-CoV-2 again. Viral whole genome sequencing was conducted from nares swabs at multiple time points. The day 7 sample was determined to be lineage B.1.340, whereas both the day 46 and day 49 samples were B.1.1. The first positive result for anti-SARS-CoV-2 IgM serology was collected on day 49 and for IgG on day 91. This case appears most consistent with a reinfection event. Our investigation into this case is unique in that we compared sequence data from more than just paired specimens, and we also assayed for immune response after both the initial infection and the later reinfection. These data demonstrate that individuals who have experienced an infection with SARS-CoV-2 may fail to generate effective or long-lasting immunity, similar to endemic human beta coronaviruses.
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Affiliation(s)
- Andrew G. Letizia
- Infectious Disease Directorate, Naval Medical Research Center, Silver Spring, MD 20910, USA; (A.G.L.); (C.W.G.); (M.A.S.); (D.L.W.)
| | - Catherine E. Arnold
- Defense Threat Reduction Agency, Fort Belvoir, VA 22060, USA; (C.E.A.); (B.N.A.)
- Genomics and Bioinformatics Department, Biological Defense Research Directorate, Naval Medical Research Center–Frederick, Fort Detrick, MD 21702, USA; (L.J.V.); (L.G.); (G.K.R.); (F.M.); (R.Z.C.)
| | - Bishwo N. Adhikari
- Defense Threat Reduction Agency, Fort Belvoir, VA 22060, USA; (C.E.A.); (B.N.A.)
- Genomics and Bioinformatics Department, Biological Defense Research Directorate, Naval Medical Research Center–Frederick, Fort Detrick, MD 21702, USA; (L.J.V.); (L.G.); (G.K.R.); (F.M.); (R.Z.C.)
| | - Logan J. Voegtly
- Genomics and Bioinformatics Department, Biological Defense Research Directorate, Naval Medical Research Center–Frederick, Fort Detrick, MD 21702, USA; (L.J.V.); (L.G.); (G.K.R.); (F.M.); (R.Z.C.)
- Leidos, Inc., Reston, VA 20190, USA
| | - Lindsay Glang
- Genomics and Bioinformatics Department, Biological Defense Research Directorate, Naval Medical Research Center–Frederick, Fort Detrick, MD 21702, USA; (L.J.V.); (L.G.); (G.K.R.); (F.M.); (R.Z.C.)
- Leidos, Inc., Reston, VA 20190, USA
| | - Gregory K. Rice
- Genomics and Bioinformatics Department, Biological Defense Research Directorate, Naval Medical Research Center–Frederick, Fort Detrick, MD 21702, USA; (L.J.V.); (L.G.); (G.K.R.); (F.M.); (R.Z.C.)
- Leidos, Inc., Reston, VA 20190, USA
| | - Carl W. Goforth
- Infectious Disease Directorate, Naval Medical Research Center, Silver Spring, MD 20910, USA; (A.G.L.); (C.W.G.); (M.A.S.); (D.L.W.)
| | - Megan A. Schilling
- Infectious Disease Directorate, Naval Medical Research Center, Silver Spring, MD 20910, USA; (A.G.L.); (C.W.G.); (M.A.S.); (D.L.W.)
| | - Dawn L. Weir
- Infectious Disease Directorate, Naval Medical Research Center, Silver Spring, MD 20910, USA; (A.G.L.); (C.W.G.); (M.A.S.); (D.L.W.)
| | - Francisco Malagon
- Genomics and Bioinformatics Department, Biological Defense Research Directorate, Naval Medical Research Center–Frederick, Fort Detrick, MD 21702, USA; (L.J.V.); (L.G.); (G.K.R.); (F.M.); (R.Z.C.)
- Leidos, Inc., Reston, VA 20190, USA
| | - Irene Ramos
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; (I.R.); (S.V.); (S.C.S.)
| | - Sindhu Vangeti
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; (I.R.); (S.V.); (S.C.S.)
| | - Ana S. Gonzalez-Reiche
- Department of Genetics and Genomic Sciences, Icahn Institute for Data Science and Genomic Technology at Mount Sinai, New York, NY 10029, USA; (A.S.G.-R.); (H.v.B.)
| | - Regina Z. Cer
- Genomics and Bioinformatics Department, Biological Defense Research Directorate, Naval Medical Research Center–Frederick, Fort Detrick, MD 21702, USA; (L.J.V.); (L.G.); (G.K.R.); (F.M.); (R.Z.C.)
| | - Stuart C. Sealfon
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; (I.R.); (S.V.); (S.C.S.)
| | - Harm van Bakel
- Department of Genetics and Genomic Sciences, Icahn Institute for Data Science and Genomic Technology at Mount Sinai, New York, NY 10029, USA; (A.S.G.-R.); (H.v.B.)
| | - Kimberly A. Bishop-Lilly
- Genomics and Bioinformatics Department, Biological Defense Research Directorate, Naval Medical Research Center–Frederick, Fort Detrick, MD 21702, USA; (L.J.V.); (L.G.); (G.K.R.); (F.M.); (R.Z.C.)
- Correspondence:
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31
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Nair VD, Vasoya M, Nair V, Smith GR, Pincas H, Ge Y, Douglas CM, Esser KA, Sealfon SC. Differential analysis of chromatin accessibility and gene expression profiles identifies cis-regulatory elements in rat adipose and muscle. Genomics 2021; 113:3827-3841. [PMID: 34547403 DOI: 10.1016/j.ygeno.2021.09.013] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [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: 04/28/2021] [Revised: 09/08/2021] [Accepted: 09/15/2021] [Indexed: 01/04/2023]
Abstract
Chromatin accessibility is a key factor influencing gene expression. We optimized the Omni-ATAC-seq protocol and used it together with RNA-seq to investigate cis-regulatory elements in rat white adipose and skeletal muscle, two tissues with contrasting metabolic functions. While promoter accessibility correlated with RNA expression, integration of the two datasets identified tissue-specific differentially accessible regions (DARs) that predominantly localized in intergenic and intron regions. DARs were mapped to differentially expressed (DE) genes enriched in distinct biological processes in each tissue. Randomly selected DE genes were validated by qPCR. Top enriched motifs in DARs predicted binding sites for transcription factors (TFs) showing tissue-specific up-regulation. The correlation between differential chromatin accessibility at a given TF binding motif and differential expression of target genes further supported the functional relevance of that motif. Our study identified cis-regulatory regions that likely play a major role in the regulation of tissue-specific gene expression in adipose and muscle.
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Affiliation(s)
- Venugopalan D Nair
- Department of Neurology, Center for Advanced Research on Diagnostic Assays, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
| | - Mital Vasoya
- Department of Neurology, Center for Advanced Research on Diagnostic Assays, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Vishnu Nair
- Department of Computer Sciences, Columbia University, New York, NY 10027, USA
| | - Gregory R Smith
- Department of Neurology, Center for Advanced Research on Diagnostic Assays, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Hanna Pincas
- Department of Neurology, Center for Advanced Research on Diagnostic Assays, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Yongchao Ge
- Department of Neurology, Center for Advanced Research on Diagnostic Assays, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Collin M Douglas
- Department of Physiology and Functional Genomics, University of Florida, Gainesville, FL 32610, USA
| | - Karyn A Esser
- Department of Physiology and Functional Genomics, University of Florida, Gainesville, FL 32610, USA
| | - Stuart C Sealfon
- Department of Neurology, Center for Advanced Research on Diagnostic Assays, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
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32
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Meyer M, Wang Y, Edwards D, Smith GR, Rubenstein AB, Ramanathan P, Mire CE, Pietzsch C, Chen X, Ge Y, Cheng WS, Henry C, Woods A, Ma L, Stewart-Jones GB, Bock KW, Minai M, Nagata BM, Periasamy S, Shi PY, Graham BS, Moore IN, Ramos I, Troyanskaya OG, Zaslavsky E, Carfi A, Sealfon SC, Bukreyev A. Attenuated activation of pulmonary immune cells in mRNA-1273-vaccinated hamsters after SARS-CoV-2 infection. J Clin Invest 2021; 131:e148036. [PMID: 34449440 PMCID: PMC8516449 DOI: 10.1172/jci148036] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Accepted: 08/24/2021] [Indexed: 12/31/2022] Open
Abstract
The mRNA-1273 vaccine is effective against SARS-CoV-2 and was granted emergency use authorization by the FDA. Clinical studies, however, cannot provide the controlled response to infection and complex immunological insight that are only possible with preclinical studies. Hamsters are the only model that reliably exhibits severe SARS-CoV-2 disease similar to that in hospitalized patients, making them pertinent for vaccine evaluation. We demonstrate that prime or prime-boost administration of mRNA-1273 in hamsters elicited robust neutralizing antibodies, ameliorated weight loss, suppressed SARS-CoV-2 replication in the airways, and better protected against disease at the highest prime-boost dose. Unlike in mice and nonhuman primates, low-level virus replication in mRNA-1273-vaccinated hamsters coincided with an anamnestic response. Single-cell RNA sequencing of lung tissue permitted high-resolution analysis that is not possible in vaccinated humans. mRNA-1273 prevented inflammatory cell infiltration and the reduction of lymphocyte proportions, but enabled antiviral responses conducive to lung homeostasis. Surprisingly, infection triggered transcriptome programs in some types of immune cells from vaccinated hamsters that were shared, albeit attenuated, with mock-vaccinated hamsters. Our results support the use of mRNA-1273 in a 2-dose schedule and provide insight into the potential responses within the lungs of vaccinated humans who are exposed to SARS-CoV-2.
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Affiliation(s)
- Michelle Meyer
- Department of Pathology, University of Texas Medical Branch, Galveston, Texas, USA
- Galveston National Laboratory, Galveston, Texas, USA
| | - Yuan Wang
- Department of Computer Science and
- Lewis-Sigler Institute of Integrative Genomics, Princeton University, Princeton, New Jersey, USA
| | | | - Gregory R. Smith
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Aliza B. Rubenstein
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Palaniappan Ramanathan
- Department of Pathology, University of Texas Medical Branch, Galveston, Texas, USA
- Galveston National Laboratory, Galveston, Texas, USA
| | - Chad E. Mire
- Galveston National Laboratory, Galveston, Texas, USA
- Department of Microbiology and Immunology, University of Texas Medical Branch, Galveston, Texas, USA
| | - Colette Pietzsch
- Department of Pathology, University of Texas Medical Branch, Galveston, Texas, USA
- Galveston National Laboratory, Galveston, Texas, USA
| | - Xi Chen
- Lewis-Sigler Institute of Integrative Genomics, Princeton University, Princeton, New Jersey, USA
- Center for Computational Biology, Flatiron Institute, Simons Foundation, New York, New York, USA
| | - Yongchao Ge
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Wan Sze Cheng
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | | | | | - LingZhi Ma
- Moderna Inc., Cambridge, Massachusetts, USA
| | | | - Kevin W. Bock
- Infectious Disease Pathogenesis Section, Comparative Medicine Branch, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rockville, Maryland, USA
| | - Mahnaz Minai
- Infectious Disease Pathogenesis Section, Comparative Medicine Branch, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rockville, Maryland, USA
| | - Bianca M. Nagata
- Infectious Disease Pathogenesis Section, Comparative Medicine Branch, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rockville, Maryland, USA
| | - Sivakumar Periasamy
- Department of Pathology, University of Texas Medical Branch, Galveston, Texas, USA
- Galveston National Laboratory, Galveston, Texas, USA
| | - Pei-Yong Shi
- Department of Biochemistry and Molecular Biology, University of Texas Medical Branch, Galveston, Texas, USA
| | - Barney S. Graham
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Ian N. Moore
- Infectious Disease Pathogenesis Section, Comparative Medicine Branch, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rockville, Maryland, USA
| | - Irene Ramos
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Olga G. Troyanskaya
- Department of Computer Science and
- Lewis-Sigler Institute of Integrative Genomics, Princeton University, Princeton, New Jersey, USA
- Center for Computational Biology, Flatiron Institute, Simons Foundation, New York, New York, USA
| | - Elena Zaslavsky
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | | | - Stuart C. Sealfon
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Alexander Bukreyev
- Department of Pathology, University of Texas Medical Branch, Galveston, Texas, USA
- Galveston National Laboratory, Galveston, Texas, USA
- Department of Microbiology and Immunology, University of Texas Medical Branch, Galveston, Texas, USA
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33
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El Jamal SM, Pujadas E, Ramos I, Bryce C, Grimes ZM, Amanat F, Tsankova NM, Mussa Z, Olson S, Salem F, Miorin L, Aydillo T, Schotsaert M, Albrecht RA, Liu WC, Marjanovic N, Francoeur N, Sebra R, Sealfon SC, García-Sastre A, Fowkes M, Cordon-Cardo C, Westra WH. Tissue-based SARS-CoV-2 detection in fatal COVID-19 infections: Sustained direct viral-induced damage is not necessary to drive disease progression. Hum Pathol 2021; 114:110-119. [PMID: 33961839 PMCID: PMC8095022 DOI: 10.1016/j.humpath.2021.04.012] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2021] [Revised: 04/23/2021] [Accepted: 04/28/2021] [Indexed: 12/16/2022]
Abstract
Coronavirus disease 2019 (COVID-19) is an ongoing pandemic caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Although viral infection is known to trigger inflammatory processes contributing to tissue injury and organ failure, it is unclear whether direct viral damage is needed to sustain cellular injury. An understanding of pathogenic mechanisms has been handicapped by the absence of optimized methods to visualize the presence and distribution of SARS-CoV-2 in damaged tissues. We first developed a positive control cell line (Vero E6) to validate SARS-CoV-2 detection assays. We then evaluated multiple organs (lungs, kidneys, heart, liver, brain, intestines, lymph nodes, and spleen) from fourteen COVID-19 autopsy cases using immunohistochemistry (IHC) for the spike and the nucleoprotein proteins, and RNA in situ hybridization (RNA ISH) for the spike protein mRNA. Tissue detection assays were compared with quantitative polymerase chain reaction (qPCR)-based detection. SARS-CoV-2 was histologically detected in the Vero E6 positive cell line control, 1 of 14 (7%) lungs, and none (0%) of the other 59 organs. There was perfect concordance between the IHC and RNA ISH results. qPCR confirmed high viral load in the SARS-CoV-2 ISH-positive lung tissue, and absent or low viral load in all ISH-negative tissues. In patients who die of COVID-19-related organ failure, SARS-CoV-2 is largely not detectable using tissue-based assays. Even in lungs showing widespread injury, SARS-CoV-2 viral RNA or proteins were detected in only a small minority of cases. This observation supports the concept that viral infection is primarily a trigger for multiple-organ pathogenic proinflammatory responses. Direct viral tissue damage is a transient phenomenon that is generally not sustained throughout disease progression.
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Affiliation(s)
- Siraj M El Jamal
- Departments of Pathology, Molecular and Cell-Based Medicine, The Icahn School of Medicine at Mount Sinai Hospital, New York, NY, 10029, USA.
| | - Elisabet Pujadas
- Departments of Pathology, Molecular and Cell-Based Medicine, The Icahn School of Medicine at Mount Sinai Hospital, New York, NY, 10029, USA
| | - Irene Ramos
- Department of Neurology, The Icahn School of Medicine at Mount Sinai Hospital, New York, NY, 10029 USA
| | - Clare Bryce
- Departments of Pathology, Molecular and Cell-Based Medicine, The Icahn School of Medicine at Mount Sinai Hospital, New York, NY, 10029, USA
| | - Zachary M Grimes
- Departments of Pathology, Molecular and Cell-Based Medicine, The Icahn School of Medicine at Mount Sinai Hospital, New York, NY, 10029, USA
| | - Fatima Amanat
- Department of Microbiology, The Icahn School of Medicine at Mount Sinai Hospital, New York, NY, 10029, USA
| | - Nadejda M Tsankova
- Departments of Pathology, Molecular and Cell-Based Medicine, The Icahn School of Medicine at Mount Sinai Hospital, New York, NY, 10029, USA
| | - Zarmeen Mussa
- Departments of Pathology, Molecular and Cell-Based Medicine, The Icahn School of Medicine at Mount Sinai Hospital, New York, NY, 10029, USA
| | - Sara Olson
- Departments of Pathology, Molecular and Cell-Based Medicine, The Icahn School of Medicine at Mount Sinai Hospital, New York, NY, 10029, USA
| | - Fadi Salem
- Departments of Pathology, Molecular and Cell-Based Medicine, The Icahn School of Medicine at Mount Sinai Hospital, New York, NY, 10029, USA
| | - Lisa Miorin
- Department of Microbiology, The Icahn School of Medicine at Mount Sinai Hospital, New York, NY, 10029, USA; Global Health and Emerging Pathogens Institute, The Icahn School of Medicine at Mount Sinai Hospital, New York, NY, 10029, USA
| | - Teresa Aydillo
- Department of Microbiology, The Icahn School of Medicine at Mount Sinai Hospital, New York, NY, 10029, USA; Global Health and Emerging Pathogens Institute, The Icahn School of Medicine at Mount Sinai Hospital, New York, NY, 10029, USA
| | - Michael Schotsaert
- Department of Microbiology, The Icahn School of Medicine at Mount Sinai Hospital, New York, NY, 10029, USA; Global Health and Emerging Pathogens Institute, The Icahn School of Medicine at Mount Sinai Hospital, New York, NY, 10029, USA
| | - Randy A Albrecht
- Department of Microbiology, The Icahn School of Medicine at Mount Sinai Hospital, New York, NY, 10029, USA; Global Health and Emerging Pathogens Institute, The Icahn School of Medicine at Mount Sinai Hospital, New York, NY, 10029, USA
| | - Wen-Chun Liu
- Department of Microbiology, The Icahn School of Medicine at Mount Sinai Hospital, New York, NY, 10029, USA; Global Health and Emerging Pathogens Institute, The Icahn School of Medicine at Mount Sinai Hospital, New York, NY, 10029, USA; Biomedical Translation Research Center, Academia Sinica, Taipei, 11571, Taiwan
| | - Nada Marjanovic
- Department of Microbiology, The Icahn School of Medicine at Mount Sinai Hospital, New York, NY, 10029, USA
| | - Nancy Francoeur
- Department of Genetics and Genomic Sciences, The Icahn School of Medicine at Mount Sinai Hospital, New York, NY, 10029, USA
| | - Robert Sebra
- Department of Genetics and Genomic Sciences, The Icahn School of Medicine at Mount Sinai Hospital, New York, NY, 10029, USA; Sema4, Stamford, CT, 10029, USA
| | - Stuart C Sealfon
- Department of Neurology, The Icahn School of Medicine at Mount Sinai Hospital, New York, NY, 10029 USA
| | - Adolfo García-Sastre
- Department of Microbiology, The Icahn School of Medicine at Mount Sinai Hospital, New York, NY, 10029, USA; Global Health and Emerging Pathogens Institute, The Icahn School of Medicine at Mount Sinai Hospital, New York, NY, 10029, USA; Department of Medicine, Division of Infectious Diseases, The Icahn School of Medicine at Mount Sinai Hospital, New York, NY, 10029, USA; The Tisch Cancer Institute, The Icahn School of Medicine at Mount Sinai Hospital, New York, NY, 10029, USA
| | - Mary Fowkes
- Departments of Pathology, Molecular and Cell-Based Medicine, The Icahn School of Medicine at Mount Sinai Hospital, New York, NY, 10029, USA
| | - Carlos Cordon-Cardo
- Departments of Pathology, Molecular and Cell-Based Medicine, The Icahn School of Medicine at Mount Sinai Hospital, New York, NY, 10029, USA
| | - William H Westra
- Departments of Pathology, Molecular and Cell-Based Medicine, The Icahn School of Medicine at Mount Sinai Hospital, New York, NY, 10029, USA.
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34
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Nudelman I, Kudrin D, Nudelman G, Deshpande R, Hartmann BM, Kleinstein SH, Myers CL, Sealfon SC, Zaslavsky E. Comparing Host Module Activation Patterns and Temporal Dynamics in Infection by Influenza H1N1 Viruses. Front Immunol 2021; 12:691758. [PMID: 34335598 PMCID: PMC8317020 DOI: 10.3389/fimmu.2021.691758] [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] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Accepted: 06/14/2021] [Indexed: 11/13/2022] Open
Abstract
Influenza is a serious global health threat that shows varying pathogenicity among different virus strains. Understanding similarities and differences among activated functional pathways in the host responses can help elucidate therapeutic targets responsible for pathogenesis. To compare the types and timing of functional modules activated in host cells by four influenza viruses of varying pathogenicity, we developed a new DYNAmic MOdule (DYNAMO) method that addresses the need to compare functional module utilization over time. This integrative approach overlays whole genome time series expression data onto an immune-specific functional network, and extracts conserved modules exhibiting either different temporal patterns or overall transcriptional activity. We identified a common core response to influenza virus infection that is temporally shifted for different viruses. We also identified differentially regulated functional modules that reveal unique elements of responses to different virus strains. Our work highlights the usefulness of combining time series gene expression data with a functional interaction map to capture temporal dynamics of the same cellular pathways under different conditions. Our results help elucidate conservation of the immune response both globally and at a granular level, and provide mechanistic insight into the differences in the host response to infection by influenza strains of varying pathogenicity.
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Affiliation(s)
- Irina Nudelman
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, United States.,Division of General Internal Medicine, New York University Langone Medical Centre, New York, NY, United States
| | - Daniil Kudrin
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - German Nudelman
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Raamesh Deshpande
- Department of Computer Science and Engineering, University of Minnesota - Twin Cities, Minneapolis, MN, United States
| | - Boris M Hartmann
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, United States.,Center for Advanced Research on Diagnostic Assays (CARDA), Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Steven H Kleinstein
- Department of Pathology, Yale University School of Medicine, New Haven, CT, United States
| | - Chad L Myers
- Department of Computer Science and Engineering, University of Minnesota - Twin Cities, Minneapolis, MN, United States.,Program in Biomedical Informatics and Computational Biology, University of Minnesota - Twin Cities, Minneapolis, MN, United States
| | - Stuart C Sealfon
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, United States.,Center for Advanced Research on Diagnostic Assays (CARDA), Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Elena Zaslavsky
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, United States.,Center for Advanced Research on Diagnostic Assays (CARDA), Icahn School of Medicine at Mount Sinai, New York, NY, United States
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35
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Hoehn KB, Ramanathan P, Unterman A, Sumida TS, Asashima H, Hafler DA, Kaminski N, Dela Cruz CS, Sealfon SC, Bukreyev A, Kleinstein SH. Cutting Edge: Distinct B Cell Repertoires Characterize Patients with Mild and Severe COVID-19. J Immunol 2021; 206:2785-2790. [PMID: 34049971 PMCID: PMC8627528 DOI: 10.4049/jimmunol.2100135] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Accepted: 04/23/2021] [Indexed: 12/21/2022]
Abstract
Protective immunity against COVID-19 likely depends on the production of SARS-CoV-2-specific plasma cells and memory B cells postinfection or postvaccination. Previous work has found that germinal center reactions are disrupted in severe COVID-19. This may adversely affect long-term immunity against reinfection. Consistent with an extrafollicular B cell response, patients with severe COVID-19 have elevated frequencies of clonally expanded, class-switched, unmutated plasmablasts. However, it is unclear whether B cell populations in individuals with mild COVID-19 are similarly skewed. In this study, we use single-cell RNA sequencing of B cells to show that in contrast to patients with severe COVID-19, subjects with mildly symptomatic COVID-19 have B cell repertoires enriched for clonally diverse, somatically hypermutated memory B cells ∼30 d after the onset of symptoms. This provides evidence that B cell responses are less disrupted in mild COVID-19 and result in the production of memory B cells.
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Affiliation(s)
- Kenneth B Hoehn
- Department of Pathology, Yale School of Medicine, New Haven, CT
| | - Palaniappan Ramanathan
- Department of Pathology, The University of Texas Medical Branch at Galveston, Galveston, TX
- Galveston National Laboratory, The University of Texas Medical Branch at Galveston, Galveston, TX
| | - Avraham Unterman
- Section of Pulmonary, Critical Care, and Sleep Medicine, Yale School of Medicine, New Haven, CT
- Pulmonary Institute, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel
| | - Tomokazu S Sumida
- Department of Neurology, School of Medicine, Yale University, New Haven, CT
- Department of Immunobiology, Yale School of Medicine, New Haven, CT
| | - Hiromitsu Asashima
- Department of Neurology, School of Medicine, Yale University, New Haven, CT
- Department of Immunobiology, Yale School of Medicine, New Haven, CT
| | - David A Hafler
- Department of Neurology, School of Medicine, Yale University, New Haven, CT
- Department of Immunobiology, Yale School of Medicine, New Haven, CT
| | - Naftali Kaminski
- Section of Pulmonary, Critical Care, and Sleep Medicine, Yale School of Medicine, New Haven, CT
| | - Charles S Dela Cruz
- Section of Pulmonary, Critical Care, and Sleep Medicine, Yale School of Medicine, New Haven, CT
| | - Stuart C Sealfon
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Alexander Bukreyev
- Department of Pathology, The University of Texas Medical Branch at Galveston, Galveston, TX
- Galveston National Laboratory, The University of Texas Medical Branch at Galveston, Galveston, TX
- Department of Microbiology and Immunology, The University of Texas Medical Branch at Galveston, Galveston, TX; and
| | - Steven H Kleinstein
- Department of Pathology, Yale School of Medicine, New Haven, CT;
- Department of Immunobiology, Yale School of Medicine, New Haven, CT
- Interdepartmental Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT
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36
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Ramos I, Goforth C, Soares-Schanoski A, Weir DL, Samuels EC, Phogat S, Meyer M, Huang K, Pietzsch CA, Ge Y, Pike BL, Regeimbal J, Simons MP, Termini MS, Vangeti S, Marjanovic N, Lizewski S, Lizewski R, George MC, Nair VD, Smith GR, Mao W, Chikina M, Broder CC, Laing ED, Bukreyev A, Sealfon SC, Letizia AG. Antibody Responses to SARS-CoV-2 Following an Outbreak Among Marine Recruits With Asymptomatic or Mild Infection. Front Immunol 2021; 12:681586. [PMID: 34177926 PMCID: PMC8220197 DOI: 10.3389/fimmu.2021.681586] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Accepted: 05/19/2021] [Indexed: 12/23/2022] Open
Abstract
We investigated serological responses following a SARS-CoV-2 outbreak in spring 2020 on a US Marine recruit training base. 147 participants that were isolated during an outbreak of respiratory illness were enrolled in this study, with visits approximately 6 and 10 weeks post-outbreak (PO). This cohort is comprised of young healthy adults, ages 18-26, with a high rate of asymptomatic infection or mild symptoms, and therefore differs from previously reported longitudinal studies on humoral responses to SARS-CoV-2, which often focus on more diverse age populations and worse clinical presentation. 80.9% (119/147) of the participants presented with circulating IgG antibodies against SARS-CoV-2 spike (S) receptor-binding domain (RBD) at 6 weeks PO, of whom 97.3% (111/114) remained positive, with significantly decreased levels, at 10 weeks PO. Neutralizing activity was detected in all sera from SARS-CoV-2 IgG positive participants tested (n=38) at 6 and 10 weeks PO, without significant loss between time points. IgG and IgA antibodies against SARS-CoV-2 RBD, S1, S2, and the nucleocapsid (N) protein, as well neutralization activity, were generally comparable between those participants that had asymptomatic infection or mild disease. A multiplex assay including S proteins from SARS-CoV-2 and related zoonotic and human endemic betacoronaviruses revealed a positive correlation for polyclonal cross-reactivity to S after SARS-CoV-2 infection. Overall, young adults that experienced asymptomatic or mild SARS-CoV-2 infection developed comparable humoral responses, with no decrease in neutralizing activity at least up to 10 weeks after infection.
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Affiliation(s)
- Irene Ramos
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Carl Goforth
- Naval Medical Research Center, Silver Spring, MD, United States
| | | | - Dawn L. Weir
- Naval Medical Research Center, Silver Spring, MD, United States
| | - Emily C. Samuels
- Department of Microbiology and Immunology, Uniformed Services University of the Health Sciences, Bethesda, MD, United States
- Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD, United States
| | - Shreshta Phogat
- Department of Microbiology and Immunology, Uniformed Services University of the Health Sciences, Bethesda, MD, United States
- Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD, United States
| | - Michelle Meyer
- Department of Pathology, University of Texas Medical Branch, Galveston, TX, United States
- Galveston National Laboratory, University of Texas Medical Branch, Galveston, TX, United States
| | - Kai Huang
- Department of Pathology, University of Texas Medical Branch, Galveston, TX, United States
- Galveston National Laboratory, University of Texas Medical Branch, Galveston, TX, United States
| | - Colette A. Pietzsch
- Department of Pathology, University of Texas Medical Branch, Galveston, TX, United States
- Galveston National Laboratory, University of Texas Medical Branch, Galveston, TX, United States
| | - Yongchao Ge
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Brian L. Pike
- Naval Medical Research Center, Silver Spring, MD, United States
| | - James Regeimbal
- Naval Medical Research Center, Silver Spring, MD, United States
| | - Mark P. Simons
- Naval Medical Research Center, Silver Spring, MD, United States
| | - Michael S. Termini
- Directorate for Public Health, Navy Medicine Readiness and Training Command Beaufort, Beaufort, SC, United States
| | - Sindhu Vangeti
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Nada Marjanovic
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Stephen Lizewski
- Department of Parasitology, Naval Medical Research Unit 6, Lima, Peru
| | - Rhonda Lizewski
- Department of Bacteriology, Naval Medical Research Unit 6, Lima, Peru
| | - Mary-Catherine George
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Venugopalan D. Nair
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Gregory R. Smith
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Weiguang Mao
- Department of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA, United States
| | - Maria Chikina
- Department of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA, United States
| | - Christopher C. Broder
- Department of Microbiology and Immunology, Uniformed Services University of the Health Sciences, Bethesda, MD, United States
| | - Eric D. Laing
- Department of Microbiology and Immunology, Uniformed Services University of the Health Sciences, Bethesda, MD, United States
| | - Alexander Bukreyev
- Department of Pathology, University of Texas Medical Branch, Galveston, TX, United States
- Galveston National Laboratory, University of Texas Medical Branch, Galveston, TX, United States
- Department of Microbiology & Immunology, University of Texas Medical Branch, Galveston, TX, United States
| | - Stuart C. Sealfon
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, United States
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Ruf-Zamojski F, Zhang Z, Zamojski M, Smith GR, Mendelev N, Liu H, Nudelman G, Moriwaki M, Pincas H, Castanon RG, Nair VD, Seenarine N, Amper MAS, Zhou X, Ongaro L, Toufaily C, Schang G, Nery JR, Bartlett A, Aldridge A, Jain N, Childs GV, Troyanskaya OG, Ecker JR, Turgeon JL, Welt CK, Bernard DJ, Sealfon SC. Single nucleus multi-omics regulatory landscape of the murine pituitary. Nat Commun 2021; 12:2677. [PMID: 33976139 PMCID: PMC8113460 DOI: 10.1038/s41467-021-22859-w] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2020] [Accepted: 03/16/2021] [Indexed: 11/12/2022] Open
Abstract
To provide a multi-omics resource and investigate transcriptional regulatory mechanisms, we profile the transcriptome, chromatin accessibility, and methylation status of over 70,000 single nuclei (sn) from adult mouse pituitaries. Paired snRNAseq and snATACseq datasets from individual animals highlight a continuum between developmental epigenetically-encoded cell types and transcriptionally-determined transient cell states. Co-accessibility analysis-based identification of a putative Fshb cis-regulatory domain that overlaps the fertility-linked rs11031006 human polymorphism, followed by experimental validation illustrate the use of this resource for hypothesis generation. We also identify transcriptional and chromatin accessibility programs distinguishing each major cell type. Regulons, which are co-regulated gene sets sharing binding sites for a common transcription factor driver, recapitulate cell type clustering. We identify both cell type-specific and sex-specific regulons that are highly correlated with promoter accessibility, but not with methylation state, supporting the centrality of chromatin accessibility in shaping cell-defining transcriptional programs. The sn multi-omics atlas is accessible at snpituitaryatlas.princeton.edu.
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Affiliation(s)
- Frederique Ruf-Zamojski
- Department of Neurology, Center for Advanced Research on Diagnostic Assays, Icahn School of Medicine at Mount Sinai (ISMMS), New York, NY, USA.
| | - Zidong Zhang
- Lewis-Sigler Institute for Integrative Genomics, and Graduate Program in Quantitative and Computational Biology, Princeton University, Princeton, NJ, USA
| | - Michel Zamojski
- Department of Neurology, Center for Advanced Research on Diagnostic Assays, Icahn School of Medicine at Mount Sinai (ISMMS), New York, NY, USA
| | - Gregory R Smith
- Department of Neurology, Center for Advanced Research on Diagnostic Assays, Icahn School of Medicine at Mount Sinai (ISMMS), New York, NY, USA
| | - Natalia Mendelev
- Department of Neurology, Center for Advanced Research on Diagnostic Assays, Icahn School of Medicine at Mount Sinai (ISMMS), New York, NY, USA
| | - Hanqing Liu
- Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA
| | - German Nudelman
- Department of Neurology, Center for Advanced Research on Diagnostic Assays, Icahn School of Medicine at Mount Sinai (ISMMS), New York, NY, USA
| | - Mika Moriwaki
- Division of Endocrinology and Metabolism, University of Utah, Salt Lake City, UT, USA
| | - Hanna Pincas
- Department of Neurology, Center for Advanced Research on Diagnostic Assays, Icahn School of Medicine at Mount Sinai (ISMMS), New York, NY, USA
| | - Rosa Gomez Castanon
- Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Venugopalan D Nair
- Department of Neurology, Center for Advanced Research on Diagnostic Assays, Icahn School of Medicine at Mount Sinai (ISMMS), New York, NY, USA
| | - Nitish Seenarine
- Department of Neurology, Center for Advanced Research on Diagnostic Assays, Icahn School of Medicine at Mount Sinai (ISMMS), New York, NY, USA
| | - Mary Anne S Amper
- Department of Neurology, Center for Advanced Research on Diagnostic Assays, Icahn School of Medicine at Mount Sinai (ISMMS), New York, NY, USA
| | - Xiang Zhou
- Dept. of Pharmacology and Therapeutics, McGill University, Montreal, QC, Canada
| | - Luisina Ongaro
- Dept. of Pharmacology and Therapeutics, McGill University, Montreal, QC, Canada
| | - Chirine Toufaily
- Dept. of Pharmacology and Therapeutics, McGill University, Montreal, QC, Canada
| | - Gauthier Schang
- Dept. of Pharmacology and Therapeutics, McGill University, Montreal, QC, Canada
| | - Joseph R Nery
- Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Anna Bartlett
- Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Andrew Aldridge
- Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Nimisha Jain
- Department of Neurology, Center for Advanced Research on Diagnostic Assays, Icahn School of Medicine at Mount Sinai (ISMMS), New York, NY, USA
| | - Gwen V Childs
- University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Olga G Troyanskaya
- Lewis-Sigler Institute for Integrative Genomics, and Graduate Program in Quantitative and Computational Biology, Princeton University, Princeton, NJ, USA
- Department of Computer Science, Princeton University, Princeton, NJ, USA
- Flatiron Institute, Simons Foundation, New York, NY, USA
| | - Joseph R Ecker
- Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA
- Howard Hughes Medical Institute, The Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Judith L Turgeon
- Department of Internal Medicine, University of California, Davis, CA, USA
| | - Corrine K Welt
- Division of Endocrinology and Metabolism, University of Utah, Salt Lake City, UT, USA
| | - Daniel J Bernard
- Dept. of Pharmacology and Therapeutics, McGill University, Montreal, QC, Canada
| | - Stuart C Sealfon
- Department of Neurology, Center for Advanced Research on Diagnostic Assays, Icahn School of Medicine at Mount Sinai (ISMMS), New York, NY, USA.
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Letizia AG, Smith DR, Ge Y, Ramos I, Sealfon RSG, Goforth C, Gonzalez-Reiche AS, Vangeti S, Weir DL, Alshammary H, Chen HW, George MC, Soares-Schanoski A, Lizewski RA, Lizewski SE, Marayag J, Miller CM, Nunez E, Porter CK, Ana ES, Schilling M, Sugiharto VA, Sun P, Termini M, van de Guchte A, Troyanskaya OG, van Bakel H, Sealfon SC. Viable virus shedding during SARS-CoV-2 reinfection. Lancet Respir Med 2021; 9:e56-e57. [PMID: 33964243 PMCID: PMC8099311 DOI: 10.1016/s2213-2600(21)00219-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Accepted: 04/27/2021] [Indexed: 11/03/2022]
Affiliation(s)
| | - Darci R Smith
- Naval Medical Research Center, Silver Spring, MD, USA
| | - Yongchao Ge
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Irene Ramos
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | | | - Carl Goforth
- Naval Medical Research Center, Silver Spring, MD, USA
| | - Ana S Gonzalez-Reiche
- Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Sindhu Vangeti
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Dawn L Weir
- Naval Medical Research Center, Silver Spring, MD, USA
| | - Hala Alshammary
- Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Hua Wei Chen
- Naval Medical Research Center, Silver Spring, MD, USA
| | - Mary-Catherine George
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | | | | | | | - Jan Marayag
- Naval Medical Research Center, Silver Spring, MD, USA
| | - Clare M Miller
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Edgar Nunez
- Naval Medical Research Center, Silver Spring, MD, USA
| | - Chad K Porter
- Naval Medical Research Center, Silver Spring, MD, USA
| | | | | | | | - Peifang Sun
- Naval Medical Research Center, Silver Spring, MD, USA
| | - Michael Termini
- Navy Medicine Readiness and Training Command Beaufort, Beaufort, SC, USA
| | - Adriana van de Guchte
- Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | | | - Harm van Bakel
- Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Stuart C Sealfon
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
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Ruf-Zamojski FM, Zhang Z, Zamojski M, Smith GR, Yianni V, Willis TL, Mendelev N, Pincas H, Seenarine N, Amper MAS, Vasoya M, Zhou X, Gambino LO, Schang G, Mofsowitz S, Nair VD, Welt CK, Troyanskaya OG, Turgeon JL, Bernard DJ, Andoniadou CL, Sealfon SC. Single Nucleus Transcriptome and Chromatin Accessibility Landscapes of Human Pituitaries. J Endocr Soc 2021. [PMCID: PMC8090576 DOI: 10.1210/jendso/bvab048.1332] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
The pituitary gland regulates key physiological functions, including growth, sexual maturation, reproduction, and lactation. Here, we present a paired single-nuclei (sn) transcriptome and chromatin accessibility characterization of six post-mortem human pituitaries. These samples were from juvenile, adult, and elderly male and female subjects. Well-correlated snRNAseq and snATACseq datasets facilitated robust identification of the major pituitary cell types in each sample. Using latent variable pathway analysis, we uncovered previously unreported coordinated gene expression modules and chromatin accessibility programs for each major cell type as well as an age-specific program across all the endocrine cell types. These largely appear to be congruent between human and mouse datasets. Given the importance of murine models in the study of human pituitary disorders and pituitary physiology, we next sought to compare expression profiles of pituitary cell types in mouse vs. human. Murine and human cell types were well correlated, exemplified by coordinated gene expression programs, especially for undifferentiated stem cells (SCs). In both species, we identified clusters corresponding to naive and committing SCs. All human SC clusters expressed the established SC markers SOX2 and SOX9, as well as genes involved in SC regulatory pathways (WWTR1, YAP1 andPITX2). Additional markers previously reported in murine pituitary SCs were also found in human SC, including WIF1, LGR5, FOS, CDH1, EGFR, LGR4, and WLS. Remarkably, in human, the main naive SC cluster was roughly divided into a high-JUN and a low-JUN expressing subgroup, whereas Jun expression was less pronounced in the murine SC cluster. In both species, committing SC clusters expressed the endocrine markers for POU1F1, TSHB, or POMC, while SCs committing to an intermediate lobe/melanotrope cell identity were distinguishable based on PAX7 expression. In addition, in the human datasets we identify a population of cells as originating from the pars tuberalis. We offer a range of markers that can be utilized for in vivo validation of these cells. Overall, the characterization of the murine and human pituitary SCs strongly suggests the co-existence of subpopulations with different lineage commitments in addition to a single uncommitted SC population. This sn atlas of the human pituitary is a valuable resource that will be made web-accessible.
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Affiliation(s)
| | | | | | | | - Val Yianni
- King’s College London, London, United Kingdom
| | | | | | - Hanna Pincas
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | | | - Mital Vasoya
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
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Letizia AG, Ge Y, Vangeti S, Goforth C, Weir DL, Kuzmina NA, Balinsky CA, Chen HW, Ewing D, Soares-Schanoski A, George MC, Graham WD, Jones F, Bharaj P, Lizewski RA, Lizewski SE, Marayag J, Marjanovic N, Miller CM, Mofsowitz S, Nair VD, Nunez E, Parent DM, Porter CK, Santa Ana E, Schilling M, Stadlbauer D, Sugiharto VA, Termini M, Sun P, Tracy RP, Krammer F, Bukreyev A, Ramos I, Sealfon SC. SARS-CoV-2 seropositivity and subsequent infection risk in healthy young adults: a prospective cohort study. Lancet Respir Med 2021; 9:712-720. [PMID: 33865504 PMCID: PMC8049591 DOI: 10.1016/s2213-2600(21)00158-2] [Citation(s) in RCA: 55] [Impact Index Per Article: 18.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/04/2021] [Revised: 03/09/2021] [Accepted: 03/15/2021] [Indexed: 01/23/2023]
Abstract
Background Whether young adults who are infected with SARS-CoV-2 are at risk of subsequent infection is uncertain. We investigated the risk of subsequent SARS-CoV-2 infection among young adults seropositive for a previous infection. Methods This analysis was performed as part of the prospective COVID-19 Health Action Response for Marines study (CHARM). CHARM included predominantly male US Marine recruits, aged 18–20 years, following a 2-week unsupervised quarantine at home. After the home quarantine period, upon arrival at a Marine-supervised 2-week quarantine facility (college campus or hotel), participants were enrolled and were assessed for baseline SARS-CoV-2 IgG seropositivity, defined as a dilution of 1:150 or more on receptor-binding domain and full-length spike protein ELISA. Participants also completed a questionnaire consisting of demographic information, risk factors, reporting of 14 specific COVID-19-related symptoms or any other unspecified symptom, and brief medical history. SARS-CoV-2 infection was assessed by PCR at weeks 0, 1, and 2 of quarantine and participants completed a follow-up questionnaire, which included questions about the same COVID-19-related symptoms since the last study visit. Participants were excluded at this stage if they had a positive PCR test during quarantine. Participants who had three negative swab PCR results during quarantine and a baseline serum serology test at the beginning of the supervised quarantine that identified them as seronegative or seropositive for SARS-CoV-2 then went on to basic training at Marine Corps Recruit Depot—Parris Island. Three PCR tests were done at weeks 2, 4, and 6 in both seropositive and seronegative groups, along with the follow-up symptom questionnaire and baseline neutralising antibody titres on all subsequently infected seropositive and selected seropositive uninfected participants (prospective study period). Findings Between May 11, 2020, and Nov 2, 2020, we enrolled 3249 participants, of whom 3168 (98%) continued into the 2-week quarantine period. 3076 (95%) participants, 2825 (92%) of whom were men, were then followed up during the prospective study period after quarantine for 6 weeks. Among 189 seropositive participants, 19 (10%) had at least one positive PCR test for SARS-CoV-2 during the 6-week follow-up (1·1 cases per person-year). In contrast, 1079 (48%) of 2247 seronegative participants tested positive (6·2 cases per person-year). The incidence rate ratio was 0·18 (95% CI 0·11–0·28; p<0·001). Among seropositive recruits, infection was more likely with lower baseline full-length spike protein IgG titres than in those with higher baseline full-length spike protein IgG titres (hazard ratio 0·45 [95% CI 0·32–0·65]; p<0·001). Infected seropositive participants had viral loads that were about 10-times lower than those of infected seronegative participants (ORF1ab gene cycle threshold difference 3·95 [95% CI 1·23–6·67]; p=0·004). Among seropositive participants, baseline neutralising titres were detected in 45 (83%) of 54 uninfected and in six (32%) of 19 infected participants during the 6 weeks of observation (ID50 difference p<0·0001). Interpretation Seropositive young adults had about one-fifth the risk of subsequent infection compared with seronegative individuals. Although antibodies induced by initial infection are largely protective, they do not guarantee effective SARS-CoV-2 neutralisation activity or immunity against subsequent infection. These findings might be relevant for optimisation of mass vaccination strategies. Funding Defense Health Agency and Defense Advanced Research Projects Agency.
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Affiliation(s)
| | - Yongchao Ge
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Sindhu Vangeti
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Carl Goforth
- Naval Medical Research Center, Silver Spring, MD, USA
| | - Dawn L Weir
- Naval Medical Research Center, Silver Spring, MD, USA
| | - Natalia A Kuzmina
- Department of Pathology University of Texas Medical Branch and Galveston National Laboratory, Galveston, TX, USA
| | | | - Hua Wei Chen
- Naval Medical Research Center, Silver Spring, MD, USA
| | - Dan Ewing
- Naval Medical Research Center, Silver Spring, MD, USA
| | | | | | | | - Franca Jones
- Naval Medical Research Center, Silver Spring, MD, USA
| | - Preeti Bharaj
- Department of Pathology University of Texas Medical Branch and Galveston National Laboratory, Galveston, TX, USA
| | | | | | - Jan Marayag
- Naval Medical Research Center, Silver Spring, MD, USA
| | - Nada Marjanovic
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Clare M Miller
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Sagie Mofsowitz
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Venugopalan D Nair
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Edgar Nunez
- Naval Medical Research Center, Silver Spring, MD, USA
| | - Danielle M Parent
- Department of Pathology & Laboratory Medicine, Larner College of Medicine, University of Vermont, Burlington, VT, USA
| | - Chad K Porter
- Naval Medical Research Center, Silver Spring, MD, USA
| | | | | | - Daniel Stadlbauer
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | - Michael Termini
- and Naval Medical Readiness and Training Command Beaufort, Beaufort, SC, USA
| | - Peifang Sun
- Naval Medical Research Center, Silver Spring, MD, USA
| | - Russell P Tracy
- Department of Pathology & Laboratory Medicine, Larner College of Medicine, University of Vermont, Burlington, VT, USA
| | - Florian Krammer
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Alexander Bukreyev
- Department of Pathology University of Texas Medical Branch and Galveston National Laboratory, Galveston, TX, USA
| | - Irene Ramos
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Stuart C Sealfon
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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Letizia AG, Ge Y, Goforth CW, Weir DL, Lizewski R, Lizewski S, Soares-Schanoski A, Vangeti S, Marjanovic N, Sealfon SC, Ramos I. SARS-CoV-2 Seropositivity among US Marine Recruits Attending Basic Training, United States, Spring-Fall 2020. Emerg Infect Dis 2021; 27:1188-1192. [PMID: 33529569 PMCID: PMC8007328 DOI: 10.3201/eid2704.204732] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023] Open
Abstract
In a study of US Marine recruits, seroprevalence of severe acute respiratory syndrome coronavirus 2 IgG was 9.0%. Hispanic and non-Hispanic Black participants and participants from states affected earlier in the pandemic had higher seropositivity rates. These results suggest the need for targeted public health strategies among young adults at increased risk for infection.
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Meyer M, Wang Y, Edwards D, Smith GR, Rubenstein AB, Ramanathan P, Mire CE, Pietzsch C, Chen X, Ge Y, Cheng WS, Henry C, Woods A, Ma L, Stewart-Jones GBE, Bock KW, Minai M, Nagata BM, Periasamy S, Shi PY, Graham BS, Moore IN, Ramos I, Troyanskaya OG, Zaslavsky E, Carfi A, Sealfon SC, Bukreyev A. mRNA-1273 efficacy in a severe COVID-19 model: attenuated activation of pulmonary immune cells after challenge. bioRxiv 2021:2021.01.25.428136. [PMID: 33532780 PMCID: PMC7852274 DOI: 10.1101/2021.01.25.428136] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
The mRNA-1273 vaccine was recently determined to be effective against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) from interim Phase 3 results. Human studies, however, cannot provide the controlled response to infection and complex immunological insight that are only possible with preclinical studies. Hamsters are the only model that reliably exhibit more severe SARS-CoV-2 disease similar to hospitalized patients, making them pertinent for vaccine evaluation. We demonstrate that prime or prime-boost administration of mRNA-1273 in hamsters elicited robust neutralizing antibodies, ameliorated weight loss, suppressed SARS-CoV-2 replication in the airways, and better protected against disease at the highest prime-boost dose. Unlike in mice and non-human primates, mRNA-1273- mediated immunity was non-sterilizing and coincided with an anamnestic response. Single-cell RNA sequencing of lung tissue permitted high resolution analysis which is not possible in vaccinated humans. mRNA-1273 prevented inflammatory cell infiltration and the reduction of lymphocyte proportions, but enabled antiviral responses conducive to lung homeostasis. Surprisingly, infection triggered transcriptome programs in some types of immune cells from vaccinated hamsters that were shared, albeit attenuated, with mock-vaccinated hamsters. Our results support the use of mRNA-1273 in a two-dose schedule and provides insight into the potential responses within the lungs of vaccinated humans who are exposed to SARS-CoV-2.
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Letizia AG, Ramos I, Obla A, Goforth C, Weir DL, Ge Y, Bamman MM, Dutta J, Ellis E, Estrella L, George MC, Gonzalez-Reiche AS, Graham WD, van de Guchte A, Gutierrez R, Jones F, Kalomoiri A, Lizewski R, Lizewski S, Marayag J, Marjanovic N, Millar EV, Nair VD, Nudelman G, Nunez E, Pike BL, Porter C, Regeimbal J, Rirak S, Santa Ana E, Sealfon RSG, Sebra R, Simons MP, Soares-Schanoski A, Sugiharto V, Termini M, Vangeti S, Williams C, Troyanskaya OG, van Bakel H, Sealfon SC. SARS-CoV-2 Transmission among Marine Recruits during Quarantine. N Engl J Med 2020; 383:2407-2416. [PMID: 33176093 PMCID: PMC7675690 DOI: 10.1056/nejmoa2029717] [Citation(s) in RCA: 70] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
BACKGROUND The efficacy of public health measures to control the transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has not been well studied in young adults. METHODS We investigated SARS-CoV-2 infections among U.S. Marine Corps recruits who underwent a 2-week quarantine at home followed by a second supervised 2-week quarantine at a closed college campus that involved mask wearing, social distancing, and daily temperature and symptom monitoring. Study volunteers were tested for SARS-CoV-2 by means of quantitative polymerase-chain-reaction (qPCR) assay of nares swab specimens obtained between the time of arrival and the second day of supervised quarantine and on days 7 and 14. Recruits who did not volunteer for the study underwent qPCR testing only on day 14, at the end of the quarantine period. We performed phylogenetic analysis of viral genomes obtained from infected study volunteers to identify clusters and to assess the epidemiologic features of infections. RESULTS A total of 1848 recruits volunteered to participate in the study; within 2 days after arrival on campus, 16 (0.9%) tested positive for SARS-CoV-2, 15 of whom were asymptomatic. An additional 35 participants (1.9%) tested positive on day 7 or on day 14. Five of the 51 participants (9.8%) who tested positive at any time had symptoms in the week before a positive qPCR test. Of the recruits who declined to participate in the study, 26 (1.7%) of the 1554 recruits with available qPCR results tested positive on day 14. No SARS-CoV-2 infections were identified through clinical qPCR testing performed as a result of daily symptom monitoring. Analysis of 36 SARS-CoV-2 genomes obtained from 32 participants revealed six transmission clusters among 18 participants. Epidemiologic analysis supported multiple local transmission events, including transmission between roommates and among recruits within the same platoon. CONCLUSIONS Among Marine Corps recruits, approximately 2% who had previously had negative results for SARS-CoV-2 at the beginning of supervised quarantine, and less than 2% of recruits with unknown previous status, tested positive by day 14. Most recruits who tested positive were asymptomatic, and no infections were detected through daily symptom monitoring. Transmission clusters occurred within platoons. (Funded by the Defense Health Agency and others.).
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Affiliation(s)
- Andrew G Letizia
- From the Naval Medical Research Center, Silver Spring (A.G.L., C.G., D.L.W., L.E., W.D.G., R.G., F.J., J.M., E.N., B.L.P., C.P., J.R., E.S.A., M.P.S., V.S., C.W.) and the Infectious Disease Clinical Research Program, Uniformed Services University (E.V.M.), Bethesda - both in Maryland; the Naval Medical Research Unit 6, Lima, Peru (R.L., S.L.); the Departments of Neurology (I.R., Y.G., M.-C.G., A.K., N.M., V.D.N., G.N., S.R., A.S.-S., S.V., S.C.S.) and Genetics and Genomic Sciences (A.O., J.D., E.E., A.S.G.-R., A.G., R.S., H.B.), Icahn Institute for Data Science and Genomic Technology (E.E., R.S., H.B.), the Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai (R.S.), and the Center for Computational Biology, Flatiron Institute (R.S.G.S., O.G.T.) - all in New York; the University of Alabama at Birmingham Center for Exercise Medicine, University of Alabama Medical School, Birmingham (M.M.B.); Sema4, Stamford, CT (R.S.); the Navy Medicine Readiness and Training Command Beaufort, Beaufort, SC (M.T.); and the Lewis-Sigler Institute for Integrative Genomics, Princeton, NJ (O.G.T.)
| | - Irene Ramos
- From the Naval Medical Research Center, Silver Spring (A.G.L., C.G., D.L.W., L.E., W.D.G., R.G., F.J., J.M., E.N., B.L.P., C.P., J.R., E.S.A., M.P.S., V.S., C.W.) and the Infectious Disease Clinical Research Program, Uniformed Services University (E.V.M.), Bethesda - both in Maryland; the Naval Medical Research Unit 6, Lima, Peru (R.L., S.L.); the Departments of Neurology (I.R., Y.G., M.-C.G., A.K., N.M., V.D.N., G.N., S.R., A.S.-S., S.V., S.C.S.) and Genetics and Genomic Sciences (A.O., J.D., E.E., A.S.G.-R., A.G., R.S., H.B.), Icahn Institute for Data Science and Genomic Technology (E.E., R.S., H.B.), the Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai (R.S.), and the Center for Computational Biology, Flatiron Institute (R.S.G.S., O.G.T.) - all in New York; the University of Alabama at Birmingham Center for Exercise Medicine, University of Alabama Medical School, Birmingham (M.M.B.); Sema4, Stamford, CT (R.S.); the Navy Medicine Readiness and Training Command Beaufort, Beaufort, SC (M.T.); and the Lewis-Sigler Institute for Integrative Genomics, Princeton, NJ (O.G.T.)
| | - Ajay Obla
- From the Naval Medical Research Center, Silver Spring (A.G.L., C.G., D.L.W., L.E., W.D.G., R.G., F.J., J.M., E.N., B.L.P., C.P., J.R., E.S.A., M.P.S., V.S., C.W.) and the Infectious Disease Clinical Research Program, Uniformed Services University (E.V.M.), Bethesda - both in Maryland; the Naval Medical Research Unit 6, Lima, Peru (R.L., S.L.); the Departments of Neurology (I.R., Y.G., M.-C.G., A.K., N.M., V.D.N., G.N., S.R., A.S.-S., S.V., S.C.S.) and Genetics and Genomic Sciences (A.O., J.D., E.E., A.S.G.-R., A.G., R.S., H.B.), Icahn Institute for Data Science and Genomic Technology (E.E., R.S., H.B.), the Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai (R.S.), and the Center for Computational Biology, Flatiron Institute (R.S.G.S., O.G.T.) - all in New York; the University of Alabama at Birmingham Center for Exercise Medicine, University of Alabama Medical School, Birmingham (M.M.B.); Sema4, Stamford, CT (R.S.); the Navy Medicine Readiness and Training Command Beaufort, Beaufort, SC (M.T.); and the Lewis-Sigler Institute for Integrative Genomics, Princeton, NJ (O.G.T.)
| | - Carl Goforth
- From the Naval Medical Research Center, Silver Spring (A.G.L., C.G., D.L.W., L.E., W.D.G., R.G., F.J., J.M., E.N., B.L.P., C.P., J.R., E.S.A., M.P.S., V.S., C.W.) and the Infectious Disease Clinical Research Program, Uniformed Services University (E.V.M.), Bethesda - both in Maryland; the Naval Medical Research Unit 6, Lima, Peru (R.L., S.L.); the Departments of Neurology (I.R., Y.G., M.-C.G., A.K., N.M., V.D.N., G.N., S.R., A.S.-S., S.V., S.C.S.) and Genetics and Genomic Sciences (A.O., J.D., E.E., A.S.G.-R., A.G., R.S., H.B.), Icahn Institute for Data Science and Genomic Technology (E.E., R.S., H.B.), the Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai (R.S.), and the Center for Computational Biology, Flatiron Institute (R.S.G.S., O.G.T.) - all in New York; the University of Alabama at Birmingham Center for Exercise Medicine, University of Alabama Medical School, Birmingham (M.M.B.); Sema4, Stamford, CT (R.S.); the Navy Medicine Readiness and Training Command Beaufort, Beaufort, SC (M.T.); and the Lewis-Sigler Institute for Integrative Genomics, Princeton, NJ (O.G.T.)
| | - Dawn L Weir
- From the Naval Medical Research Center, Silver Spring (A.G.L., C.G., D.L.W., L.E., W.D.G., R.G., F.J., J.M., E.N., B.L.P., C.P., J.R., E.S.A., M.P.S., V.S., C.W.) and the Infectious Disease Clinical Research Program, Uniformed Services University (E.V.M.), Bethesda - both in Maryland; the Naval Medical Research Unit 6, Lima, Peru (R.L., S.L.); the Departments of Neurology (I.R., Y.G., M.-C.G., A.K., N.M., V.D.N., G.N., S.R., A.S.-S., S.V., S.C.S.) and Genetics and Genomic Sciences (A.O., J.D., E.E., A.S.G.-R., A.G., R.S., H.B.), Icahn Institute for Data Science and Genomic Technology (E.E., R.S., H.B.), the Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai (R.S.), and the Center for Computational Biology, Flatiron Institute (R.S.G.S., O.G.T.) - all in New York; the University of Alabama at Birmingham Center for Exercise Medicine, University of Alabama Medical School, Birmingham (M.M.B.); Sema4, Stamford, CT (R.S.); the Navy Medicine Readiness and Training Command Beaufort, Beaufort, SC (M.T.); and the Lewis-Sigler Institute for Integrative Genomics, Princeton, NJ (O.G.T.)
| | - Yongchao Ge
- From the Naval Medical Research Center, Silver Spring (A.G.L., C.G., D.L.W., L.E., W.D.G., R.G., F.J., J.M., E.N., B.L.P., C.P., J.R., E.S.A., M.P.S., V.S., C.W.) and the Infectious Disease Clinical Research Program, Uniformed Services University (E.V.M.), Bethesda - both in Maryland; the Naval Medical Research Unit 6, Lima, Peru (R.L., S.L.); the Departments of Neurology (I.R., Y.G., M.-C.G., A.K., N.M., V.D.N., G.N., S.R., A.S.-S., S.V., S.C.S.) and Genetics and Genomic Sciences (A.O., J.D., E.E., A.S.G.-R., A.G., R.S., H.B.), Icahn Institute for Data Science and Genomic Technology (E.E., R.S., H.B.), the Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai (R.S.), and the Center for Computational Biology, Flatiron Institute (R.S.G.S., O.G.T.) - all in New York; the University of Alabama at Birmingham Center for Exercise Medicine, University of Alabama Medical School, Birmingham (M.M.B.); Sema4, Stamford, CT (R.S.); the Navy Medicine Readiness and Training Command Beaufort, Beaufort, SC (M.T.); and the Lewis-Sigler Institute for Integrative Genomics, Princeton, NJ (O.G.T.)
| | - Marcas M Bamman
- From the Naval Medical Research Center, Silver Spring (A.G.L., C.G., D.L.W., L.E., W.D.G., R.G., F.J., J.M., E.N., B.L.P., C.P., J.R., E.S.A., M.P.S., V.S., C.W.) and the Infectious Disease Clinical Research Program, Uniformed Services University (E.V.M.), Bethesda - both in Maryland; the Naval Medical Research Unit 6, Lima, Peru (R.L., S.L.); the Departments of Neurology (I.R., Y.G., M.-C.G., A.K., N.M., V.D.N., G.N., S.R., A.S.-S., S.V., S.C.S.) and Genetics and Genomic Sciences (A.O., J.D., E.E., A.S.G.-R., A.G., R.S., H.B.), Icahn Institute for Data Science and Genomic Technology (E.E., R.S., H.B.), the Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai (R.S.), and the Center for Computational Biology, Flatiron Institute (R.S.G.S., O.G.T.) - all in New York; the University of Alabama at Birmingham Center for Exercise Medicine, University of Alabama Medical School, Birmingham (M.M.B.); Sema4, Stamford, CT (R.S.); the Navy Medicine Readiness and Training Command Beaufort, Beaufort, SC (M.T.); and the Lewis-Sigler Institute for Integrative Genomics, Princeton, NJ (O.G.T.)
| | - Jayeeta Dutta
- From the Naval Medical Research Center, Silver Spring (A.G.L., C.G., D.L.W., L.E., W.D.G., R.G., F.J., J.M., E.N., B.L.P., C.P., J.R., E.S.A., M.P.S., V.S., C.W.) and the Infectious Disease Clinical Research Program, Uniformed Services University (E.V.M.), Bethesda - both in Maryland; the Naval Medical Research Unit 6, Lima, Peru (R.L., S.L.); the Departments of Neurology (I.R., Y.G., M.-C.G., A.K., N.M., V.D.N., G.N., S.R., A.S.-S., S.V., S.C.S.) and Genetics and Genomic Sciences (A.O., J.D., E.E., A.S.G.-R., A.G., R.S., H.B.), Icahn Institute for Data Science and Genomic Technology (E.E., R.S., H.B.), the Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai (R.S.), and the Center for Computational Biology, Flatiron Institute (R.S.G.S., O.G.T.) - all in New York; the University of Alabama at Birmingham Center for Exercise Medicine, University of Alabama Medical School, Birmingham (M.M.B.); Sema4, Stamford, CT (R.S.); the Navy Medicine Readiness and Training Command Beaufort, Beaufort, SC (M.T.); and the Lewis-Sigler Institute for Integrative Genomics, Princeton, NJ (O.G.T.)
| | - Ethan Ellis
- From the Naval Medical Research Center, Silver Spring (A.G.L., C.G., D.L.W., L.E., W.D.G., R.G., F.J., J.M., E.N., B.L.P., C.P., J.R., E.S.A., M.P.S., V.S., C.W.) and the Infectious Disease Clinical Research Program, Uniformed Services University (E.V.M.), Bethesda - both in Maryland; the Naval Medical Research Unit 6, Lima, Peru (R.L., S.L.); the Departments of Neurology (I.R., Y.G., M.-C.G., A.K., N.M., V.D.N., G.N., S.R., A.S.-S., S.V., S.C.S.) and Genetics and Genomic Sciences (A.O., J.D., E.E., A.S.G.-R., A.G., R.S., H.B.), Icahn Institute for Data Science and Genomic Technology (E.E., R.S., H.B.), the Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai (R.S.), and the Center for Computational Biology, Flatiron Institute (R.S.G.S., O.G.T.) - all in New York; the University of Alabama at Birmingham Center for Exercise Medicine, University of Alabama Medical School, Birmingham (M.M.B.); Sema4, Stamford, CT (R.S.); the Navy Medicine Readiness and Training Command Beaufort, Beaufort, SC (M.T.); and the Lewis-Sigler Institute for Integrative Genomics, Princeton, NJ (O.G.T.)
| | - Luis Estrella
- From the Naval Medical Research Center, Silver Spring (A.G.L., C.G., D.L.W., L.E., W.D.G., R.G., F.J., J.M., E.N., B.L.P., C.P., J.R., E.S.A., M.P.S., V.S., C.W.) and the Infectious Disease Clinical Research Program, Uniformed Services University (E.V.M.), Bethesda - both in Maryland; the Naval Medical Research Unit 6, Lima, Peru (R.L., S.L.); the Departments of Neurology (I.R., Y.G., M.-C.G., A.K., N.M., V.D.N., G.N., S.R., A.S.-S., S.V., S.C.S.) and Genetics and Genomic Sciences (A.O., J.D., E.E., A.S.G.-R., A.G., R.S., H.B.), Icahn Institute for Data Science and Genomic Technology (E.E., R.S., H.B.), the Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai (R.S.), and the Center for Computational Biology, Flatiron Institute (R.S.G.S., O.G.T.) - all in New York; the University of Alabama at Birmingham Center for Exercise Medicine, University of Alabama Medical School, Birmingham (M.M.B.); Sema4, Stamford, CT (R.S.); the Navy Medicine Readiness and Training Command Beaufort, Beaufort, SC (M.T.); and the Lewis-Sigler Institute for Integrative Genomics, Princeton, NJ (O.G.T.)
| | - Mary-Catherine George
- From the Naval Medical Research Center, Silver Spring (A.G.L., C.G., D.L.W., L.E., W.D.G., R.G., F.J., J.M., E.N., B.L.P., C.P., J.R., E.S.A., M.P.S., V.S., C.W.) and the Infectious Disease Clinical Research Program, Uniformed Services University (E.V.M.), Bethesda - both in Maryland; the Naval Medical Research Unit 6, Lima, Peru (R.L., S.L.); the Departments of Neurology (I.R., Y.G., M.-C.G., A.K., N.M., V.D.N., G.N., S.R., A.S.-S., S.V., S.C.S.) and Genetics and Genomic Sciences (A.O., J.D., E.E., A.S.G.-R., A.G., R.S., H.B.), Icahn Institute for Data Science and Genomic Technology (E.E., R.S., H.B.), the Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai (R.S.), and the Center for Computational Biology, Flatiron Institute (R.S.G.S., O.G.T.) - all in New York; the University of Alabama at Birmingham Center for Exercise Medicine, University of Alabama Medical School, Birmingham (M.M.B.); Sema4, Stamford, CT (R.S.); the Navy Medicine Readiness and Training Command Beaufort, Beaufort, SC (M.T.); and the Lewis-Sigler Institute for Integrative Genomics, Princeton, NJ (O.G.T.)
| | - Ana S Gonzalez-Reiche
- From the Naval Medical Research Center, Silver Spring (A.G.L., C.G., D.L.W., L.E., W.D.G., R.G., F.J., J.M., E.N., B.L.P., C.P., J.R., E.S.A., M.P.S., V.S., C.W.) and the Infectious Disease Clinical Research Program, Uniformed Services University (E.V.M.), Bethesda - both in Maryland; the Naval Medical Research Unit 6, Lima, Peru (R.L., S.L.); the Departments of Neurology (I.R., Y.G., M.-C.G., A.K., N.M., V.D.N., G.N., S.R., A.S.-S., S.V., S.C.S.) and Genetics and Genomic Sciences (A.O., J.D., E.E., A.S.G.-R., A.G., R.S., H.B.), Icahn Institute for Data Science and Genomic Technology (E.E., R.S., H.B.), the Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai (R.S.), and the Center for Computational Biology, Flatiron Institute (R.S.G.S., O.G.T.) - all in New York; the University of Alabama at Birmingham Center for Exercise Medicine, University of Alabama Medical School, Birmingham (M.M.B.); Sema4, Stamford, CT (R.S.); the Navy Medicine Readiness and Training Command Beaufort, Beaufort, SC (M.T.); and the Lewis-Sigler Institute for Integrative Genomics, Princeton, NJ (O.G.T.)
| | - William D Graham
- From the Naval Medical Research Center, Silver Spring (A.G.L., C.G., D.L.W., L.E., W.D.G., R.G., F.J., J.M., E.N., B.L.P., C.P., J.R., E.S.A., M.P.S., V.S., C.W.) and the Infectious Disease Clinical Research Program, Uniformed Services University (E.V.M.), Bethesda - both in Maryland; the Naval Medical Research Unit 6, Lima, Peru (R.L., S.L.); the Departments of Neurology (I.R., Y.G., M.-C.G., A.K., N.M., V.D.N., G.N., S.R., A.S.-S., S.V., S.C.S.) and Genetics and Genomic Sciences (A.O., J.D., E.E., A.S.G.-R., A.G., R.S., H.B.), Icahn Institute for Data Science and Genomic Technology (E.E., R.S., H.B.), the Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai (R.S.), and the Center for Computational Biology, Flatiron Institute (R.S.G.S., O.G.T.) - all in New York; the University of Alabama at Birmingham Center for Exercise Medicine, University of Alabama Medical School, Birmingham (M.M.B.); Sema4, Stamford, CT (R.S.); the Navy Medicine Readiness and Training Command Beaufort, Beaufort, SC (M.T.); and the Lewis-Sigler Institute for Integrative Genomics, Princeton, NJ (O.G.T.)
| | - Adriana van de Guchte
- From the Naval Medical Research Center, Silver Spring (A.G.L., C.G., D.L.W., L.E., W.D.G., R.G., F.J., J.M., E.N., B.L.P., C.P., J.R., E.S.A., M.P.S., V.S., C.W.) and the Infectious Disease Clinical Research Program, Uniformed Services University (E.V.M.), Bethesda - both in Maryland; the Naval Medical Research Unit 6, Lima, Peru (R.L., S.L.); the Departments of Neurology (I.R., Y.G., M.-C.G., A.K., N.M., V.D.N., G.N., S.R., A.S.-S., S.V., S.C.S.) and Genetics and Genomic Sciences (A.O., J.D., E.E., A.S.G.-R., A.G., R.S., H.B.), Icahn Institute for Data Science and Genomic Technology (E.E., R.S., H.B.), the Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai (R.S.), and the Center for Computational Biology, Flatiron Institute (R.S.G.S., O.G.T.) - all in New York; the University of Alabama at Birmingham Center for Exercise Medicine, University of Alabama Medical School, Birmingham (M.M.B.); Sema4, Stamford, CT (R.S.); the Navy Medicine Readiness and Training Command Beaufort, Beaufort, SC (M.T.); and the Lewis-Sigler Institute for Integrative Genomics, Princeton, NJ (O.G.T.)
| | - Ramiro Gutierrez
- From the Naval Medical Research Center, Silver Spring (A.G.L., C.G., D.L.W., L.E., W.D.G., R.G., F.J., J.M., E.N., B.L.P., C.P., J.R., E.S.A., M.P.S., V.S., C.W.) and the Infectious Disease Clinical Research Program, Uniformed Services University (E.V.M.), Bethesda - both in Maryland; the Naval Medical Research Unit 6, Lima, Peru (R.L., S.L.); the Departments of Neurology (I.R., Y.G., M.-C.G., A.K., N.M., V.D.N., G.N., S.R., A.S.-S., S.V., S.C.S.) and Genetics and Genomic Sciences (A.O., J.D., E.E., A.S.G.-R., A.G., R.S., H.B.), Icahn Institute for Data Science and Genomic Technology (E.E., R.S., H.B.), the Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai (R.S.), and the Center for Computational Biology, Flatiron Institute (R.S.G.S., O.G.T.) - all in New York; the University of Alabama at Birmingham Center for Exercise Medicine, University of Alabama Medical School, Birmingham (M.M.B.); Sema4, Stamford, CT (R.S.); the Navy Medicine Readiness and Training Command Beaufort, Beaufort, SC (M.T.); and the Lewis-Sigler Institute for Integrative Genomics, Princeton, NJ (O.G.T.)
| | - Franca Jones
- From the Naval Medical Research Center, Silver Spring (A.G.L., C.G., D.L.W., L.E., W.D.G., R.G., F.J., J.M., E.N., B.L.P., C.P., J.R., E.S.A., M.P.S., V.S., C.W.) and the Infectious Disease Clinical Research Program, Uniformed Services University (E.V.M.), Bethesda - both in Maryland; the Naval Medical Research Unit 6, Lima, Peru (R.L., S.L.); the Departments of Neurology (I.R., Y.G., M.-C.G., A.K., N.M., V.D.N., G.N., S.R., A.S.-S., S.V., S.C.S.) and Genetics and Genomic Sciences (A.O., J.D., E.E., A.S.G.-R., A.G., R.S., H.B.), Icahn Institute for Data Science and Genomic Technology (E.E., R.S., H.B.), the Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai (R.S.), and the Center for Computational Biology, Flatiron Institute (R.S.G.S., O.G.T.) - all in New York; the University of Alabama at Birmingham Center for Exercise Medicine, University of Alabama Medical School, Birmingham (M.M.B.); Sema4, Stamford, CT (R.S.); the Navy Medicine Readiness and Training Command Beaufort, Beaufort, SC (M.T.); and the Lewis-Sigler Institute for Integrative Genomics, Princeton, NJ (O.G.T.)
| | - Aspasia Kalomoiri
- From the Naval Medical Research Center, Silver Spring (A.G.L., C.G., D.L.W., L.E., W.D.G., R.G., F.J., J.M., E.N., B.L.P., C.P., J.R., E.S.A., M.P.S., V.S., C.W.) and the Infectious Disease Clinical Research Program, Uniformed Services University (E.V.M.), Bethesda - both in Maryland; the Naval Medical Research Unit 6, Lima, Peru (R.L., S.L.); the Departments of Neurology (I.R., Y.G., M.-C.G., A.K., N.M., V.D.N., G.N., S.R., A.S.-S., S.V., S.C.S.) and Genetics and Genomic Sciences (A.O., J.D., E.E., A.S.G.-R., A.G., R.S., H.B.), Icahn Institute for Data Science and Genomic Technology (E.E., R.S., H.B.), the Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai (R.S.), and the Center for Computational Biology, Flatiron Institute (R.S.G.S., O.G.T.) - all in New York; the University of Alabama at Birmingham Center for Exercise Medicine, University of Alabama Medical School, Birmingham (M.M.B.); Sema4, Stamford, CT (R.S.); the Navy Medicine Readiness and Training Command Beaufort, Beaufort, SC (M.T.); and the Lewis-Sigler Institute for Integrative Genomics, Princeton, NJ (O.G.T.)
| | - Rhonda Lizewski
- From the Naval Medical Research Center, Silver Spring (A.G.L., C.G., D.L.W., L.E., W.D.G., R.G., F.J., J.M., E.N., B.L.P., C.P., J.R., E.S.A., M.P.S., V.S., C.W.) and the Infectious Disease Clinical Research Program, Uniformed Services University (E.V.M.), Bethesda - both in Maryland; the Naval Medical Research Unit 6, Lima, Peru (R.L., S.L.); the Departments of Neurology (I.R., Y.G., M.-C.G., A.K., N.M., V.D.N., G.N., S.R., A.S.-S., S.V., S.C.S.) and Genetics and Genomic Sciences (A.O., J.D., E.E., A.S.G.-R., A.G., R.S., H.B.), Icahn Institute for Data Science and Genomic Technology (E.E., R.S., H.B.), the Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai (R.S.), and the Center for Computational Biology, Flatiron Institute (R.S.G.S., O.G.T.) - all in New York; the University of Alabama at Birmingham Center for Exercise Medicine, University of Alabama Medical School, Birmingham (M.M.B.); Sema4, Stamford, CT (R.S.); the Navy Medicine Readiness and Training Command Beaufort, Beaufort, SC (M.T.); and the Lewis-Sigler Institute for Integrative Genomics, Princeton, NJ (O.G.T.)
| | - Stephen Lizewski
- From the Naval Medical Research Center, Silver Spring (A.G.L., C.G., D.L.W., L.E., W.D.G., R.G., F.J., J.M., E.N., B.L.P., C.P., J.R., E.S.A., M.P.S., V.S., C.W.) and the Infectious Disease Clinical Research Program, Uniformed Services University (E.V.M.), Bethesda - both in Maryland; the Naval Medical Research Unit 6, Lima, Peru (R.L., S.L.); the Departments of Neurology (I.R., Y.G., M.-C.G., A.K., N.M., V.D.N., G.N., S.R., A.S.-S., S.V., S.C.S.) and Genetics and Genomic Sciences (A.O., J.D., E.E., A.S.G.-R., A.G., R.S., H.B.), Icahn Institute for Data Science and Genomic Technology (E.E., R.S., H.B.), the Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai (R.S.), and the Center for Computational Biology, Flatiron Institute (R.S.G.S., O.G.T.) - all in New York; the University of Alabama at Birmingham Center for Exercise Medicine, University of Alabama Medical School, Birmingham (M.M.B.); Sema4, Stamford, CT (R.S.); the Navy Medicine Readiness and Training Command Beaufort, Beaufort, SC (M.T.); and the Lewis-Sigler Institute for Integrative Genomics, Princeton, NJ (O.G.T.)
| | - Jan Marayag
- From the Naval Medical Research Center, Silver Spring (A.G.L., C.G., D.L.W., L.E., W.D.G., R.G., F.J., J.M., E.N., B.L.P., C.P., J.R., E.S.A., M.P.S., V.S., C.W.) and the Infectious Disease Clinical Research Program, Uniformed Services University (E.V.M.), Bethesda - both in Maryland; the Naval Medical Research Unit 6, Lima, Peru (R.L., S.L.); the Departments of Neurology (I.R., Y.G., M.-C.G., A.K., N.M., V.D.N., G.N., S.R., A.S.-S., S.V., S.C.S.) and Genetics and Genomic Sciences (A.O., J.D., E.E., A.S.G.-R., A.G., R.S., H.B.), Icahn Institute for Data Science and Genomic Technology (E.E., R.S., H.B.), the Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai (R.S.), and the Center for Computational Biology, Flatiron Institute (R.S.G.S., O.G.T.) - all in New York; the University of Alabama at Birmingham Center for Exercise Medicine, University of Alabama Medical School, Birmingham (M.M.B.); Sema4, Stamford, CT (R.S.); the Navy Medicine Readiness and Training Command Beaufort, Beaufort, SC (M.T.); and the Lewis-Sigler Institute for Integrative Genomics, Princeton, NJ (O.G.T.)
| | - Nada Marjanovic
- From the Naval Medical Research Center, Silver Spring (A.G.L., C.G., D.L.W., L.E., W.D.G., R.G., F.J., J.M., E.N., B.L.P., C.P., J.R., E.S.A., M.P.S., V.S., C.W.) and the Infectious Disease Clinical Research Program, Uniformed Services University (E.V.M.), Bethesda - both in Maryland; the Naval Medical Research Unit 6, Lima, Peru (R.L., S.L.); the Departments of Neurology (I.R., Y.G., M.-C.G., A.K., N.M., V.D.N., G.N., S.R., A.S.-S., S.V., S.C.S.) and Genetics and Genomic Sciences (A.O., J.D., E.E., A.S.G.-R., A.G., R.S., H.B.), Icahn Institute for Data Science and Genomic Technology (E.E., R.S., H.B.), the Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai (R.S.), and the Center for Computational Biology, Flatiron Institute (R.S.G.S., O.G.T.) - all in New York; the University of Alabama at Birmingham Center for Exercise Medicine, University of Alabama Medical School, Birmingham (M.M.B.); Sema4, Stamford, CT (R.S.); the Navy Medicine Readiness and Training Command Beaufort, Beaufort, SC (M.T.); and the Lewis-Sigler Institute for Integrative Genomics, Princeton, NJ (O.G.T.)
| | - Eugene V Millar
- From the Naval Medical Research Center, Silver Spring (A.G.L., C.G., D.L.W., L.E., W.D.G., R.G., F.J., J.M., E.N., B.L.P., C.P., J.R., E.S.A., M.P.S., V.S., C.W.) and the Infectious Disease Clinical Research Program, Uniformed Services University (E.V.M.), Bethesda - both in Maryland; the Naval Medical Research Unit 6, Lima, Peru (R.L., S.L.); the Departments of Neurology (I.R., Y.G., M.-C.G., A.K., N.M., V.D.N., G.N., S.R., A.S.-S., S.V., S.C.S.) and Genetics and Genomic Sciences (A.O., J.D., E.E., A.S.G.-R., A.G., R.S., H.B.), Icahn Institute for Data Science and Genomic Technology (E.E., R.S., H.B.), the Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai (R.S.), and the Center for Computational Biology, Flatiron Institute (R.S.G.S., O.G.T.) - all in New York; the University of Alabama at Birmingham Center for Exercise Medicine, University of Alabama Medical School, Birmingham (M.M.B.); Sema4, Stamford, CT (R.S.); the Navy Medicine Readiness and Training Command Beaufort, Beaufort, SC (M.T.); and the Lewis-Sigler Institute for Integrative Genomics, Princeton, NJ (O.G.T.)
| | - Venugopalan D Nair
- From the Naval Medical Research Center, Silver Spring (A.G.L., C.G., D.L.W., L.E., W.D.G., R.G., F.J., J.M., E.N., B.L.P., C.P., J.R., E.S.A., M.P.S., V.S., C.W.) and the Infectious Disease Clinical Research Program, Uniformed Services University (E.V.M.), Bethesda - both in Maryland; the Naval Medical Research Unit 6, Lima, Peru (R.L., S.L.); the Departments of Neurology (I.R., Y.G., M.-C.G., A.K., N.M., V.D.N., G.N., S.R., A.S.-S., S.V., S.C.S.) and Genetics and Genomic Sciences (A.O., J.D., E.E., A.S.G.-R., A.G., R.S., H.B.), Icahn Institute for Data Science and Genomic Technology (E.E., R.S., H.B.), the Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai (R.S.), and the Center for Computational Biology, Flatiron Institute (R.S.G.S., O.G.T.) - all in New York; the University of Alabama at Birmingham Center for Exercise Medicine, University of Alabama Medical School, Birmingham (M.M.B.); Sema4, Stamford, CT (R.S.); the Navy Medicine Readiness and Training Command Beaufort, Beaufort, SC (M.T.); and the Lewis-Sigler Institute for Integrative Genomics, Princeton, NJ (O.G.T.)
| | - German Nudelman
- From the Naval Medical Research Center, Silver Spring (A.G.L., C.G., D.L.W., L.E., W.D.G., R.G., F.J., J.M., E.N., B.L.P., C.P., J.R., E.S.A., M.P.S., V.S., C.W.) and the Infectious Disease Clinical Research Program, Uniformed Services University (E.V.M.), Bethesda - both in Maryland; the Naval Medical Research Unit 6, Lima, Peru (R.L., S.L.); the Departments of Neurology (I.R., Y.G., M.-C.G., A.K., N.M., V.D.N., G.N., S.R., A.S.-S., S.V., S.C.S.) and Genetics and Genomic Sciences (A.O., J.D., E.E., A.S.G.-R., A.G., R.S., H.B.), Icahn Institute for Data Science and Genomic Technology (E.E., R.S., H.B.), the Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai (R.S.), and the Center for Computational Biology, Flatiron Institute (R.S.G.S., O.G.T.) - all in New York; the University of Alabama at Birmingham Center for Exercise Medicine, University of Alabama Medical School, Birmingham (M.M.B.); Sema4, Stamford, CT (R.S.); the Navy Medicine Readiness and Training Command Beaufort, Beaufort, SC (M.T.); and the Lewis-Sigler Institute for Integrative Genomics, Princeton, NJ (O.G.T.)
| | - Edgar Nunez
- From the Naval Medical Research Center, Silver Spring (A.G.L., C.G., D.L.W., L.E., W.D.G., R.G., F.J., J.M., E.N., B.L.P., C.P., J.R., E.S.A., M.P.S., V.S., C.W.) and the Infectious Disease Clinical Research Program, Uniformed Services University (E.V.M.), Bethesda - both in Maryland; the Naval Medical Research Unit 6, Lima, Peru (R.L., S.L.); the Departments of Neurology (I.R., Y.G., M.-C.G., A.K., N.M., V.D.N., G.N., S.R., A.S.-S., S.V., S.C.S.) and Genetics and Genomic Sciences (A.O., J.D., E.E., A.S.G.-R., A.G., R.S., H.B.), Icahn Institute for Data Science and Genomic Technology (E.E., R.S., H.B.), the Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai (R.S.), and the Center for Computational Biology, Flatiron Institute (R.S.G.S., O.G.T.) - all in New York; the University of Alabama at Birmingham Center for Exercise Medicine, University of Alabama Medical School, Birmingham (M.M.B.); Sema4, Stamford, CT (R.S.); the Navy Medicine Readiness and Training Command Beaufort, Beaufort, SC (M.T.); and the Lewis-Sigler Institute for Integrative Genomics, Princeton, NJ (O.G.T.)
| | - Brian L Pike
- From the Naval Medical Research Center, Silver Spring (A.G.L., C.G., D.L.W., L.E., W.D.G., R.G., F.J., J.M., E.N., B.L.P., C.P., J.R., E.S.A., M.P.S., V.S., C.W.) and the Infectious Disease Clinical Research Program, Uniformed Services University (E.V.M.), Bethesda - both in Maryland; the Naval Medical Research Unit 6, Lima, Peru (R.L., S.L.); the Departments of Neurology (I.R., Y.G., M.-C.G., A.K., N.M., V.D.N., G.N., S.R., A.S.-S., S.V., S.C.S.) and Genetics and Genomic Sciences (A.O., J.D., E.E., A.S.G.-R., A.G., R.S., H.B.), Icahn Institute for Data Science and Genomic Technology (E.E., R.S., H.B.), the Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai (R.S.), and the Center for Computational Biology, Flatiron Institute (R.S.G.S., O.G.T.) - all in New York; the University of Alabama at Birmingham Center for Exercise Medicine, University of Alabama Medical School, Birmingham (M.M.B.); Sema4, Stamford, CT (R.S.); the Navy Medicine Readiness and Training Command Beaufort, Beaufort, SC (M.T.); and the Lewis-Sigler Institute for Integrative Genomics, Princeton, NJ (O.G.T.)
| | - Chad Porter
- From the Naval Medical Research Center, Silver Spring (A.G.L., C.G., D.L.W., L.E., W.D.G., R.G., F.J., J.M., E.N., B.L.P., C.P., J.R., E.S.A., M.P.S., V.S., C.W.) and the Infectious Disease Clinical Research Program, Uniformed Services University (E.V.M.), Bethesda - both in Maryland; the Naval Medical Research Unit 6, Lima, Peru (R.L., S.L.); the Departments of Neurology (I.R., Y.G., M.-C.G., A.K., N.M., V.D.N., G.N., S.R., A.S.-S., S.V., S.C.S.) and Genetics and Genomic Sciences (A.O., J.D., E.E., A.S.G.-R., A.G., R.S., H.B.), Icahn Institute for Data Science and Genomic Technology (E.E., R.S., H.B.), the Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai (R.S.), and the Center for Computational Biology, Flatiron Institute (R.S.G.S., O.G.T.) - all in New York; the University of Alabama at Birmingham Center for Exercise Medicine, University of Alabama Medical School, Birmingham (M.M.B.); Sema4, Stamford, CT (R.S.); the Navy Medicine Readiness and Training Command Beaufort, Beaufort, SC (M.T.); and the Lewis-Sigler Institute for Integrative Genomics, Princeton, NJ (O.G.T.)
| | - James Regeimbal
- From the Naval Medical Research Center, Silver Spring (A.G.L., C.G., D.L.W., L.E., W.D.G., R.G., F.J., J.M., E.N., B.L.P., C.P., J.R., E.S.A., M.P.S., V.S., C.W.) and the Infectious Disease Clinical Research Program, Uniformed Services University (E.V.M.), Bethesda - both in Maryland; the Naval Medical Research Unit 6, Lima, Peru (R.L., S.L.); the Departments of Neurology (I.R., Y.G., M.-C.G., A.K., N.M., V.D.N., G.N., S.R., A.S.-S., S.V., S.C.S.) and Genetics and Genomic Sciences (A.O., J.D., E.E., A.S.G.-R., A.G., R.S., H.B.), Icahn Institute for Data Science and Genomic Technology (E.E., R.S., H.B.), the Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai (R.S.), and the Center for Computational Biology, Flatiron Institute (R.S.G.S., O.G.T.) - all in New York; the University of Alabama at Birmingham Center for Exercise Medicine, University of Alabama Medical School, Birmingham (M.M.B.); Sema4, Stamford, CT (R.S.); the Navy Medicine Readiness and Training Command Beaufort, Beaufort, SC (M.T.); and the Lewis-Sigler Institute for Integrative Genomics, Princeton, NJ (O.G.T.)
| | - Stas Rirak
- From the Naval Medical Research Center, Silver Spring (A.G.L., C.G., D.L.W., L.E., W.D.G., R.G., F.J., J.M., E.N., B.L.P., C.P., J.R., E.S.A., M.P.S., V.S., C.W.) and the Infectious Disease Clinical Research Program, Uniformed Services University (E.V.M.), Bethesda - both in Maryland; the Naval Medical Research Unit 6, Lima, Peru (R.L., S.L.); the Departments of Neurology (I.R., Y.G., M.-C.G., A.K., N.M., V.D.N., G.N., S.R., A.S.-S., S.V., S.C.S.) and Genetics and Genomic Sciences (A.O., J.D., E.E., A.S.G.-R., A.G., R.S., H.B.), Icahn Institute for Data Science and Genomic Technology (E.E., R.S., H.B.), the Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai (R.S.), and the Center for Computational Biology, Flatiron Institute (R.S.G.S., O.G.T.) - all in New York; the University of Alabama at Birmingham Center for Exercise Medicine, University of Alabama Medical School, Birmingham (M.M.B.); Sema4, Stamford, CT (R.S.); the Navy Medicine Readiness and Training Command Beaufort, Beaufort, SC (M.T.); and the Lewis-Sigler Institute for Integrative Genomics, Princeton, NJ (O.G.T.)
| | - Ernesto Santa Ana
- From the Naval Medical Research Center, Silver Spring (A.G.L., C.G., D.L.W., L.E., W.D.G., R.G., F.J., J.M., E.N., B.L.P., C.P., J.R., E.S.A., M.P.S., V.S., C.W.) and the Infectious Disease Clinical Research Program, Uniformed Services University (E.V.M.), Bethesda - both in Maryland; the Naval Medical Research Unit 6, Lima, Peru (R.L., S.L.); the Departments of Neurology (I.R., Y.G., M.-C.G., A.K., N.M., V.D.N., G.N., S.R., A.S.-S., S.V., S.C.S.) and Genetics and Genomic Sciences (A.O., J.D., E.E., A.S.G.-R., A.G., R.S., H.B.), Icahn Institute for Data Science and Genomic Technology (E.E., R.S., H.B.), the Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai (R.S.), and the Center for Computational Biology, Flatiron Institute (R.S.G.S., O.G.T.) - all in New York; the University of Alabama at Birmingham Center for Exercise Medicine, University of Alabama Medical School, Birmingham (M.M.B.); Sema4, Stamford, CT (R.S.); the Navy Medicine Readiness and Training Command Beaufort, Beaufort, SC (M.T.); and the Lewis-Sigler Institute for Integrative Genomics, Princeton, NJ (O.G.T.)
| | - Rachel S G Sealfon
- From the Naval Medical Research Center, Silver Spring (A.G.L., C.G., D.L.W., L.E., W.D.G., R.G., F.J., J.M., E.N., B.L.P., C.P., J.R., E.S.A., M.P.S., V.S., C.W.) and the Infectious Disease Clinical Research Program, Uniformed Services University (E.V.M.), Bethesda - both in Maryland; the Naval Medical Research Unit 6, Lima, Peru (R.L., S.L.); the Departments of Neurology (I.R., Y.G., M.-C.G., A.K., N.M., V.D.N., G.N., S.R., A.S.-S., S.V., S.C.S.) and Genetics and Genomic Sciences (A.O., J.D., E.E., A.S.G.-R., A.G., R.S., H.B.), Icahn Institute for Data Science and Genomic Technology (E.E., R.S., H.B.), the Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai (R.S.), and the Center for Computational Biology, Flatiron Institute (R.S.G.S., O.G.T.) - all in New York; the University of Alabama at Birmingham Center for Exercise Medicine, University of Alabama Medical School, Birmingham (M.M.B.); Sema4, Stamford, CT (R.S.); the Navy Medicine Readiness and Training Command Beaufort, Beaufort, SC (M.T.); and the Lewis-Sigler Institute for Integrative Genomics, Princeton, NJ (O.G.T.)
| | - Robert Sebra
- From the Naval Medical Research Center, Silver Spring (A.G.L., C.G., D.L.W., L.E., W.D.G., R.G., F.J., J.M., E.N., B.L.P., C.P., J.R., E.S.A., M.P.S., V.S., C.W.) and the Infectious Disease Clinical Research Program, Uniformed Services University (E.V.M.), Bethesda - both in Maryland; the Naval Medical Research Unit 6, Lima, Peru (R.L., S.L.); the Departments of Neurology (I.R., Y.G., M.-C.G., A.K., N.M., V.D.N., G.N., S.R., A.S.-S., S.V., S.C.S.) and Genetics and Genomic Sciences (A.O., J.D., E.E., A.S.G.-R., A.G., R.S., H.B.), Icahn Institute for Data Science and Genomic Technology (E.E., R.S., H.B.), the Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai (R.S.), and the Center for Computational Biology, Flatiron Institute (R.S.G.S., O.G.T.) - all in New York; the University of Alabama at Birmingham Center for Exercise Medicine, University of Alabama Medical School, Birmingham (M.M.B.); Sema4, Stamford, CT (R.S.); the Navy Medicine Readiness and Training Command Beaufort, Beaufort, SC (M.T.); and the Lewis-Sigler Institute for Integrative Genomics, Princeton, NJ (O.G.T.)
| | - Mark P Simons
- From the Naval Medical Research Center, Silver Spring (A.G.L., C.G., D.L.W., L.E., W.D.G., R.G., F.J., J.M., E.N., B.L.P., C.P., J.R., E.S.A., M.P.S., V.S., C.W.) and the Infectious Disease Clinical Research Program, Uniformed Services University (E.V.M.), Bethesda - both in Maryland; the Naval Medical Research Unit 6, Lima, Peru (R.L., S.L.); the Departments of Neurology (I.R., Y.G., M.-C.G., A.K., N.M., V.D.N., G.N., S.R., A.S.-S., S.V., S.C.S.) and Genetics and Genomic Sciences (A.O., J.D., E.E., A.S.G.-R., A.G., R.S., H.B.), Icahn Institute for Data Science and Genomic Technology (E.E., R.S., H.B.), the Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai (R.S.), and the Center for Computational Biology, Flatiron Institute (R.S.G.S., O.G.T.) - all in New York; the University of Alabama at Birmingham Center for Exercise Medicine, University of Alabama Medical School, Birmingham (M.M.B.); Sema4, Stamford, CT (R.S.); the Navy Medicine Readiness and Training Command Beaufort, Beaufort, SC (M.T.); and the Lewis-Sigler Institute for Integrative Genomics, Princeton, NJ (O.G.T.)
| | - Alessandra Soares-Schanoski
- From the Naval Medical Research Center, Silver Spring (A.G.L., C.G., D.L.W., L.E., W.D.G., R.G., F.J., J.M., E.N., B.L.P., C.P., J.R., E.S.A., M.P.S., V.S., C.W.) and the Infectious Disease Clinical Research Program, Uniformed Services University (E.V.M.), Bethesda - both in Maryland; the Naval Medical Research Unit 6, Lima, Peru (R.L., S.L.); the Departments of Neurology (I.R., Y.G., M.-C.G., A.K., N.M., V.D.N., G.N., S.R., A.S.-S., S.V., S.C.S.) and Genetics and Genomic Sciences (A.O., J.D., E.E., A.S.G.-R., A.G., R.S., H.B.), Icahn Institute for Data Science and Genomic Technology (E.E., R.S., H.B.), the Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai (R.S.), and the Center for Computational Biology, Flatiron Institute (R.S.G.S., O.G.T.) - all in New York; the University of Alabama at Birmingham Center for Exercise Medicine, University of Alabama Medical School, Birmingham (M.M.B.); Sema4, Stamford, CT (R.S.); the Navy Medicine Readiness and Training Command Beaufort, Beaufort, SC (M.T.); and the Lewis-Sigler Institute for Integrative Genomics, Princeton, NJ (O.G.T.)
| | - Victor Sugiharto
- From the Naval Medical Research Center, Silver Spring (A.G.L., C.G., D.L.W., L.E., W.D.G., R.G., F.J., J.M., E.N., B.L.P., C.P., J.R., E.S.A., M.P.S., V.S., C.W.) and the Infectious Disease Clinical Research Program, Uniformed Services University (E.V.M.), Bethesda - both in Maryland; the Naval Medical Research Unit 6, Lima, Peru (R.L., S.L.); the Departments of Neurology (I.R., Y.G., M.-C.G., A.K., N.M., V.D.N., G.N., S.R., A.S.-S., S.V., S.C.S.) and Genetics and Genomic Sciences (A.O., J.D., E.E., A.S.G.-R., A.G., R.S., H.B.), Icahn Institute for Data Science and Genomic Technology (E.E., R.S., H.B.), the Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai (R.S.), and the Center for Computational Biology, Flatiron Institute (R.S.G.S., O.G.T.) - all in New York; the University of Alabama at Birmingham Center for Exercise Medicine, University of Alabama Medical School, Birmingham (M.M.B.); Sema4, Stamford, CT (R.S.); the Navy Medicine Readiness and Training Command Beaufort, Beaufort, SC (M.T.); and the Lewis-Sigler Institute for Integrative Genomics, Princeton, NJ (O.G.T.)
| | - Michael Termini
- From the Naval Medical Research Center, Silver Spring (A.G.L., C.G., D.L.W., L.E., W.D.G., R.G., F.J., J.M., E.N., B.L.P., C.P., J.R., E.S.A., M.P.S., V.S., C.W.) and the Infectious Disease Clinical Research Program, Uniformed Services University (E.V.M.), Bethesda - both in Maryland; the Naval Medical Research Unit 6, Lima, Peru (R.L., S.L.); the Departments of Neurology (I.R., Y.G., M.-C.G., A.K., N.M., V.D.N., G.N., S.R., A.S.-S., S.V., S.C.S.) and Genetics and Genomic Sciences (A.O., J.D., E.E., A.S.G.-R., A.G., R.S., H.B.), Icahn Institute for Data Science and Genomic Technology (E.E., R.S., H.B.), the Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai (R.S.), and the Center for Computational Biology, Flatiron Institute (R.S.G.S., O.G.T.) - all in New York; the University of Alabama at Birmingham Center for Exercise Medicine, University of Alabama Medical School, Birmingham (M.M.B.); Sema4, Stamford, CT (R.S.); the Navy Medicine Readiness and Training Command Beaufort, Beaufort, SC (M.T.); and the Lewis-Sigler Institute for Integrative Genomics, Princeton, NJ (O.G.T.)
| | - Sindhu Vangeti
- From the Naval Medical Research Center, Silver Spring (A.G.L., C.G., D.L.W., L.E., W.D.G., R.G., F.J., J.M., E.N., B.L.P., C.P., J.R., E.S.A., M.P.S., V.S., C.W.) and the Infectious Disease Clinical Research Program, Uniformed Services University (E.V.M.), Bethesda - both in Maryland; the Naval Medical Research Unit 6, Lima, Peru (R.L., S.L.); the Departments of Neurology (I.R., Y.G., M.-C.G., A.K., N.M., V.D.N., G.N., S.R., A.S.-S., S.V., S.C.S.) and Genetics and Genomic Sciences (A.O., J.D., E.E., A.S.G.-R., A.G., R.S., H.B.), Icahn Institute for Data Science and Genomic Technology (E.E., R.S., H.B.), the Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai (R.S.), and the Center for Computational Biology, Flatiron Institute (R.S.G.S., O.G.T.) - all in New York; the University of Alabama at Birmingham Center for Exercise Medicine, University of Alabama Medical School, Birmingham (M.M.B.); Sema4, Stamford, CT (R.S.); the Navy Medicine Readiness and Training Command Beaufort, Beaufort, SC (M.T.); and the Lewis-Sigler Institute for Integrative Genomics, Princeton, NJ (O.G.T.)
| | - Carlos Williams
- From the Naval Medical Research Center, Silver Spring (A.G.L., C.G., D.L.W., L.E., W.D.G., R.G., F.J., J.M., E.N., B.L.P., C.P., J.R., E.S.A., M.P.S., V.S., C.W.) and the Infectious Disease Clinical Research Program, Uniformed Services University (E.V.M.), Bethesda - both in Maryland; the Naval Medical Research Unit 6, Lima, Peru (R.L., S.L.); the Departments of Neurology (I.R., Y.G., M.-C.G., A.K., N.M., V.D.N., G.N., S.R., A.S.-S., S.V., S.C.S.) and Genetics and Genomic Sciences (A.O., J.D., E.E., A.S.G.-R., A.G., R.S., H.B.), Icahn Institute for Data Science and Genomic Technology (E.E., R.S., H.B.), the Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai (R.S.), and the Center for Computational Biology, Flatiron Institute (R.S.G.S., O.G.T.) - all in New York; the University of Alabama at Birmingham Center for Exercise Medicine, University of Alabama Medical School, Birmingham (M.M.B.); Sema4, Stamford, CT (R.S.); the Navy Medicine Readiness and Training Command Beaufort, Beaufort, SC (M.T.); and the Lewis-Sigler Institute for Integrative Genomics, Princeton, NJ (O.G.T.)
| | - Olga G Troyanskaya
- From the Naval Medical Research Center, Silver Spring (A.G.L., C.G., D.L.W., L.E., W.D.G., R.G., F.J., J.M., E.N., B.L.P., C.P., J.R., E.S.A., M.P.S., V.S., C.W.) and the Infectious Disease Clinical Research Program, Uniformed Services University (E.V.M.), Bethesda - both in Maryland; the Naval Medical Research Unit 6, Lima, Peru (R.L., S.L.); the Departments of Neurology (I.R., Y.G., M.-C.G., A.K., N.M., V.D.N., G.N., S.R., A.S.-S., S.V., S.C.S.) and Genetics and Genomic Sciences (A.O., J.D., E.E., A.S.G.-R., A.G., R.S., H.B.), Icahn Institute for Data Science and Genomic Technology (E.E., R.S., H.B.), the Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai (R.S.), and the Center for Computational Biology, Flatiron Institute (R.S.G.S., O.G.T.) - all in New York; the University of Alabama at Birmingham Center for Exercise Medicine, University of Alabama Medical School, Birmingham (M.M.B.); Sema4, Stamford, CT (R.S.); the Navy Medicine Readiness and Training Command Beaufort, Beaufort, SC (M.T.); and the Lewis-Sigler Institute for Integrative Genomics, Princeton, NJ (O.G.T.)
| | - Harm van Bakel
- From the Naval Medical Research Center, Silver Spring (A.G.L., C.G., D.L.W., L.E., W.D.G., R.G., F.J., J.M., E.N., B.L.P., C.P., J.R., E.S.A., M.P.S., V.S., C.W.) and the Infectious Disease Clinical Research Program, Uniformed Services University (E.V.M.), Bethesda - both in Maryland; the Naval Medical Research Unit 6, Lima, Peru (R.L., S.L.); the Departments of Neurology (I.R., Y.G., M.-C.G., A.K., N.M., V.D.N., G.N., S.R., A.S.-S., S.V., S.C.S.) and Genetics and Genomic Sciences (A.O., J.D., E.E., A.S.G.-R., A.G., R.S., H.B.), Icahn Institute for Data Science and Genomic Technology (E.E., R.S., H.B.), the Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai (R.S.), and the Center for Computational Biology, Flatiron Institute (R.S.G.S., O.G.T.) - all in New York; the University of Alabama at Birmingham Center for Exercise Medicine, University of Alabama Medical School, Birmingham (M.M.B.); Sema4, Stamford, CT (R.S.); the Navy Medicine Readiness and Training Command Beaufort, Beaufort, SC (M.T.); and the Lewis-Sigler Institute for Integrative Genomics, Princeton, NJ (O.G.T.)
| | - Stuart C Sealfon
- From the Naval Medical Research Center, Silver Spring (A.G.L., C.G., D.L.W., L.E., W.D.G., R.G., F.J., J.M., E.N., B.L.P., C.P., J.R., E.S.A., M.P.S., V.S., C.W.) and the Infectious Disease Clinical Research Program, Uniformed Services University (E.V.M.), Bethesda - both in Maryland; the Naval Medical Research Unit 6, Lima, Peru (R.L., S.L.); the Departments of Neurology (I.R., Y.G., M.-C.G., A.K., N.M., V.D.N., G.N., S.R., A.S.-S., S.V., S.C.S.) and Genetics and Genomic Sciences (A.O., J.D., E.E., A.S.G.-R., A.G., R.S., H.B.), Icahn Institute for Data Science and Genomic Technology (E.E., R.S., H.B.), the Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai (R.S.), and the Center for Computational Biology, Flatiron Institute (R.S.G.S., O.G.T.) - all in New York; the University of Alabama at Birmingham Center for Exercise Medicine, University of Alabama Medical School, Birmingham (M.M.B.); Sema4, Stamford, CT (R.S.); the Navy Medicine Readiness and Training Command Beaufort, Beaufort, SC (M.T.); and the Lewis-Sigler Institute for Integrative Genomics, Princeton, NJ (O.G.T.)
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Cappuccio A, Jensen ST, Hartmann BM, Sealfon SC, Soumelis V, Zaslavsky E. Deciphering the combinatorial landscape of immunity. eLife 2020; 9:62148. [PMID: 33225996 PMCID: PMC7748411 DOI: 10.7554/elife.62148] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2020] [Accepted: 11/05/2020] [Indexed: 12/23/2022] Open
Abstract
From cellular activation to drug combinations, immunological responses are shaped by the action of multiple stimuli. Synergistic and antagonistic interactions between stimuli play major roles in shaping immune processes. To understand combinatorial regulation, we present the immune Synergistic/Antagonistic Interaction Learner (iSAIL). iSAIL includes a machine learning classifier to map and interpret interactions, a curated compendium of immunological combination treatment datasets, and their global integration into a landscape of ~30,000 interactions. The landscape is mined to reveal combinatorial control of interleukins, checkpoints, and other immune modulators. The resource helps elucidate the modulation of a stimulus by interactions with other cofactors, showing that TNF has strikingly different effects depending on co-stimulators. We discover new functional synergies between TNF and IFNβ controlling dendritic cell-T cell crosstalk. Analysis of laboratory or public combination treatment studies with this user-friendly web-based resource will help resolve the complex role of interaction effects on immune processes.
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Affiliation(s)
- Antonio Cappuccio
- Institut Curie, Integrative Biology of Human Dendritic Cells and T Cells Laboratory, PSL Research University, Inserm, U932, Paris, France.,Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, United States
| | - Shane T Jensen
- Department of Statistics, Wharton School, University of Pennsylvania, Philadelphia, United States
| | - Boris M Hartmann
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, United States
| | - Stuart C Sealfon
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, United States
| | - Vassili Soumelis
- Institut Curie, Integrative Biology of Human Dendritic Cells and T Cells Laboratory, PSL Research University, Inserm, U932, Paris, France.,Laboratoire d'immunologie, biologie et histocompatibilité, AP-HP, Hôpital Saint-Louis, Paris, France
| | - Elena Zaslavsky
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, United States
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Toneatti R, Shin JM, Shah UH, Mayer CR, Saunders JM, Fribourg M, Arsenovic PT, Janssen WG, Sealfon SC, López-Giménez JF, Benson DL, Conway DE, González-Maeso J. Interclass GPCR heteromerization affects localization and trafficking. Sci Signal 2020; 13:13/654/eaaw3122. [PMID: 33082287 DOI: 10.1126/scisignal.aaw3122] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
Membrane trafficking processes regulate G protein-coupled receptor (GPCR) activity. Although class A GPCRs are capable of activating G proteins in a monomeric form, they can also potentially assemble into functional GPCR heteromers. Here, we showed that the class A serotonin 5-HT2A receptors (5-HT2ARs) affected the localization and trafficking of class C metabotropic glutamate receptor 2 (mGluR2) through a mechanism that required their assembly as heteromers in mammalian cells. In the absence of agonists, 5-HT2AR was primarily localized within intracellular compartments, and coexpression of 5-HT2AR with mGluR2 increased the intracellular distribution of the otherwise plasma membrane-localized mGluR2. Agonists for either 5-HT2AR or mGluR2 differentially affected trafficking through Rab5-positive endosomes in cells expressing each component of the 5-HT2AR-mGluR2 heterocomplex alone, or together. In addition, overnight pharmacological 5-HT2AR blockade with clozapine, but not with M100907, decreased mGluR2 density through a mechanism that involved heteromerization between 5-HT2AR and mGluR2. Using TAT-tagged peptides and chimeric constructs that are unable to form the interclass 5-HT2AR-mGluR2 complex, we demonstrated that heteromerization was necessary for the 5-HT2AR-dependent effects on mGluR2 subcellular distribution. The expression of 5-HT2AR also augmented intracellular localization of mGluR2 in mouse frontal cortex pyramidal neurons. Together, our data suggest that GPCR heteromerization may itself represent a mechanism of receptor trafficking and sorting.
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Affiliation(s)
- Rudy Toneatti
- Department of Physiology and Biophysics, School of Medicine, Virginia Commonwealth University, Richmond, VA 23298, USA
| | - Jong M Shin
- Department of Physiology and Biophysics, School of Medicine, Virginia Commonwealth University, Richmond, VA 23298, USA
| | - Urjita H Shah
- Department of Physiology and Biophysics, School of Medicine, Virginia Commonwealth University, Richmond, VA 23298, USA
| | - Carl R Mayer
- Department of Biomedical Engineering, College of Engineering, Virginia Commonwealth University, Richmond, VA 23220, USA
| | - Justin M Saunders
- Department of Physiology and Biophysics, School of Medicine, Virginia Commonwealth University, Richmond, VA 23298, USA
| | - Miguel Fribourg
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.,Translational Transplant Research Center, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Paul T Arsenovic
- Department of Biomedical Engineering, College of Engineering, Virginia Commonwealth University, Richmond, VA 23220, USA
| | - William G Janssen
- Department Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Stuart C Sealfon
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Juan F López-Giménez
- Department of Physiology and Biophysics, School of Medicine, Virginia Commonwealth University, Richmond, VA 23298, USA.,Instituto de Parasitología y Biomedicina "López-Neyra", CSIC, E-18016 Granada, Spain
| | - Deanna L Benson
- Department Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Daniel E Conway
- Department of Biomedical Engineering, College of Engineering, Virginia Commonwealth University, Richmond, VA 23220, USA
| | - Javier González-Maeso
- Department of Physiology and Biophysics, School of Medicine, Virginia Commonwealth University, Richmond, VA 23298, USA.
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Lavin KM, Ge Y, Sealfon SC, Nair VD, Wilk K, McAdam JS, Windham ST, Kumar PL, McDonald MLN, Bamman MM. Rehabilitative Impact of Exercise Training on Human Skeletal Muscle Transcriptional Programs in Parkinson's Disease. Front Physiol 2020; 11:653. [PMID: 32625117 PMCID: PMC7311784 DOI: 10.3389/fphys.2020.00653] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2020] [Accepted: 05/22/2020] [Indexed: 12/18/2022] Open
Abstract
Parkinson's disease (PD) is the most common motor neurodegenerative disease, and neuromuscular function deficits associated with PD contribute to disability. Targeting these symptoms, our laboratory has previously evaluated 16-week high-intensity resistance exercise as rehabilitative training (RT) in individuals with PD. We reported significant improvements in muscle mass, neuromuscular function (strength, power, and motor unit activation), indices of neuromuscular junction integrity, total and motor scores on the unified Parkinson's disease rating scale (UPDRS), and total and sub-scores on the 39-item PD Quality of Life Questionnaire (PDQ-39), supporting the use of RT to reverse symptoms. Our objective was to identify transcriptional networks that may contribute to RT-induced neuromuscular remodeling in PD. We generated transcriptome-wide skeletal muscle RNA-sequencing in 5 participants with PD [4M/1F, 67 ± 2 years, Hoehn and Yahr stages 2 (n = 3) and 3 (n = 2)] before and after 16-week high intensity RT to identify transcriptional networks that may in part underpin RT-induced neuromuscular remodeling in PD. Following RT, 304 genes were significantly upregulated, notably related to remodeling and nervous system/muscle development. Additionally, 402 genes, primarily negative regulators of muscle adaptation, were downregulated. We applied the recently developed Pathway-Level Information ExtractoR (PLIER) method to reveal coordinated gene programs (as latent variables, LVs) that differed in skeletal muscle among young (YA) and old (OA) healthy adults and PD (n = 12 per cohort) at baseline and in PD pre- vs. post-RT. Notably, one LV associated with angiogenesis, axon guidance, and muscle remodeling was significantly lower in PD than YA at baseline and was significantly increased by exercise. A different LV annotated to denervation, autophagy, and apoptosis was increased in both PD and OA relative to YA and was also reduced by 16-week RT in PD. Thus, this analysis identified two novel skeletal muscle transcriptional programs that are dysregulated by PD and aging, respectively. Notably, RT has a normalizing effect on both programs in individuals with PD. These results identify potential molecular transducers of the RT-induced improvements in neuromuscular remodeling and motor function that may aid in optimizing exercise rehabilitation strategies for individuals with PD.
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Affiliation(s)
- Kaleen M. Lavin
- Department of Cell, Developmental and Integrative Biology, School of Medicine, University of Alabama at Birmingham, Birmingham, AL, United States
- UAB Center for Exercise Medicine, School of Medicine, University of Alabama at Birmingham, Birmingham, AL, United States
| | - Yongchao Ge
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, United States
- Center for Advanced Research on Diagnostic Assays, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Stuart C. Sealfon
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, United States
- Center for Advanced Research on Diagnostic Assays, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Venugopalan D. Nair
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, United States
- Center for Advanced Research on Diagnostic Assays, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Katarzyna Wilk
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, United States
- Center for Advanced Research on Diagnostic Assays, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Jeremy S. McAdam
- Department of Cell, Developmental and Integrative Biology, School of Medicine, University of Alabama at Birmingham, Birmingham, AL, United States
- UAB Center for Exercise Medicine, School of Medicine, University of Alabama at Birmingham, Birmingham, AL, United States
| | - Samuel T. Windham
- UAB Center for Exercise Medicine, School of Medicine, University of Alabama at Birmingham, Birmingham, AL, United States
- Department of Surgery, School of Medicine, University of Alabama at Birmingham, Birmingham, AL, United States
| | - Preeti Lakshman Kumar
- Department of Genetics, School of Medicine, University of Alabama at Birmingham, Birmingham, AL, United States
- Department of Medicine, School of Medicine, University of Alabama at Birmingham, Birmingham, AL, United States
| | - Merry-Lynn N. McDonald
- Department of Genetics, School of Medicine, University of Alabama at Birmingham, Birmingham, AL, United States
- Department of Medicine, School of Medicine, University of Alabama at Birmingham, Birmingham, AL, United States
| | - Marcas M. Bamman
- Department of Cell, Developmental and Integrative Biology, School of Medicine, University of Alabama at Birmingham, Birmingham, AL, United States
- UAB Center for Exercise Medicine, School of Medicine, University of Alabama at Birmingham, Birmingham, AL, United States
- Department of Medicine, School of Medicine, University of Alabama at Birmingham, Birmingham, AL, United States
- Birmingham/Atlanta VA Geriatric Research, Education, and Clinical Center, Birmingham, AL, United States
- Department of Neurology, School of Medicine, University of Alabama at Birmingham, Birmingham, AL, United States
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Nair VD, Ge Y, Li S, Pincas H, Jain N, Seenarine N, Amper MAS, Goodpaster BH, Walsh MJ, Coen PM, Sealfon SC. Sedentary and Trained Older Men Have Distinct Circulating Exosomal microRNA Profiles at Baseline and in Response to Acute Exercise. Front Physiol 2020; 11:605. [PMID: 32587527 PMCID: PMC7298138 DOI: 10.3389/fphys.2020.00605] [Citation(s) in RCA: 43] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2020] [Accepted: 05/14/2020] [Indexed: 12/20/2022] Open
Abstract
Exercise has multi-systemic benefits and attenuates the physiological impairments associated with aging. Emerging evidence suggests that circulating exosomes mediate some of the beneficial effects of exercise via the transfer of microRNAs between tissues. However, the impact of regular exercise and acute exercise on circulating exosomal microRNAs (exomiRs) in older populations remains unknown. In the present study, we analyzed circulating exomiR expression in endurance-trained elderly men (n = 5) and age-matched sedentary males (n = 5) at baseline (Pre), immediately after a forty minute bout of aerobic exercise on a cycle ergometer (Post), and three hours after this acute exercise (3hPost). Following the isolation and enrichment of exosomes from plasma, exosome-enriched preparations were characterized and exomiR levels were determined by sequencing. The effect of regular exercise on circulating exomiRs was assessed by comparing the baseline expression levels in the trained and sedentary groups. The effect of acute exercise was determined by comparing baseline and post-training expression levels in each group. Regular exercise resulted in significantly increased baseline expression of three exomiRs (miR-486-5p, miR-215-5p, miR-941) and decreased expression of one exomiR (miR-151b). Acute exercise altered circulating exomiR expression in both groups. However, exomiRs regulated by acute exercise in the trained group (7 miRNAs at Post and 8 at 3hPost) were distinct from those in the sedentary group (9 at Post and 4 at 3hPost). Pathway analysis prediction and reported target validation experiments revealed that the majority of exercise-regulated exomiRs are targeting genes that are related to IGF-1 signaling, a pathway involved in exercise-induced muscle and cardiac hypertrophy. The immediately post-acute exercise exomiR signature in the trained group correlates with activation of IGF-1 signaling, whereas in the sedentary group it is associated with inhibition of IGF-1 signaling. While further validation is needed, including measurements of IGF-1/IGF-1 signaling in blood or skeletal muscle, our results suggest that training status may counteract age-related anabolic resistance by modulating circulating exomiR profiles both at baseline and in response to acute exercise.
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Affiliation(s)
- Venugopalan D Nair
- Department of Neurology, Center for Advanced Research on Diagnostic Assays, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Yongchao Ge
- Department of Neurology, Center for Advanced Research on Diagnostic Assays, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Side Li
- Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Hanna Pincas
- Department of Neurology, Center for Advanced Research on Diagnostic Assays, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Nimisha Jain
- Department of Neurology, Center for Advanced Research on Diagnostic Assays, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Nitish Seenarine
- Department of Neurology, Center for Advanced Research on Diagnostic Assays, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Mary Anne S Amper
- Department of Neurology, Center for Advanced Research on Diagnostic Assays, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Bret H Goodpaster
- Translational Research Institute, AdventHealth, Orlando, FL, United States
| | - Martin J Walsh
- Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Paul M Coen
- Translational Research Institute, AdventHealth, Orlando, FL, United States
| | - Stuart C Sealfon
- Department of Neurology, Center for Advanced Research on Diagnostic Assays, Icahn School of Medicine at Mount Sinai, New York, NY, United States
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Sanford JA, Nogiec CD, Lindholm ME, Adkins JN, Amar D, Dasari S, Drugan JK, Fernández FM, Radom-Aizik S, Schenk S, Snyder MP, Tracy RP, Vanderboom P, Trappe S, Walsh MJ, Adkins JN, Amar D, Dasari S, Drugan JK, Evans CR, Fernandez FM, Li Y, Lindholm ME, Nogiec CD, Radom-Aizik S, Sanford JA, Schenk S, Snyder MP, Tomlinson L, Tracy RP, Trappe S, Vanderboom P, Walsh MJ, Lee Alekel D, Bekirov I, Boyce AT, Boyington J, Fleg JL, Joseph LJ, Laughlin MR, Maruvada P, Morris SA, McGowan JA, Nierras C, Pai V, Peterson C, Ramos E, Roary MC, Williams JP, Xia A, Cornell E, Rooney J, Miller ME, Ambrosius WT, Rushing S, Stowe CL, Jack Rejeski W, Nicklas BJ, Pahor M, Lu CJ, Trappe T, Chambers T, Raue U, Lester B, Bergman BC, Bessesen DH, Jankowski CM, Kohrt WM, Melanson EL, Moreau KL, Schauer IE, Schwartz RS, Kraus WE, Slentz CA, Huffman KM, Johnson JL, Willis LH, Kelly L, Houmard JA, Dubis G, Broskey N, Goodpaster BH, Sparks LM, Coen PM, Cooper DM, Haddad F, Rankinen T, Ravussin E, Johannsen N, Harris M, Jakicic JM, Newman AB, Forman DD, Kershaw E, Rogers RJ, Nindl BC, Page LC, Stefanovic-Racic M, Barr SL, Rasmussen BB, Moro T, Paddon-Jones D, Volpi E, Spratt H, Musi N, Espinoza S, Patel D, Serra M, Gelfond J, Burns A, Bamman MM, Buford TW, Cutter GR, Bodine SC, Esser K, Farrar RP, Goodyear LJ, Hirshman MF, Albertson BG, Qian WJ, Piehowski P, Gritsenko MA, Monore ME, Petyuk VA, McDermott JE, Hansen JN, Hutchison C, Moore S, Gaul DA, Clish CB, Avila-Pacheco J, Dennis C, Kellis M, Carr S, Jean-Beltran PM, Keshishian H, Mani D, Clauser K, Krug K, Mundorff C, Pearce C, Ivanova AA, Ortlund EA, Maner-Smith K, Uppal K, Zhang T, Sealfon SC, Zaslavsky E, Nair V, Li S, Jain N, Ge Y, Sun Y, Nudelman G, Ruf-zamojski F, Smith G, Pincas N, Rubenstein A, Anne Amper M, Seenarine N, Lappalainen T, Lanza IR, Sreekumaran Nair K, Klaus K, Montgomery SB, Smith KS, Gay NR, Zhao B, Hung CJ, Zebarjadi N, Balliu B, Fresard L, Burant CF, Li JZ, Kachman M, Soni T, Raskind AB, Gerszten R, Robbins J, Ilkayeva O, Muehlbauer MJ, Newgard CB, Ashley EA, Wheeler MT, Jimenez-Morales D, Raja A, Dalton KP, Zhen J, Suk Kim Y, Christle JW, Marwaha S, Chin ET, Hershman SG, Hastie T, Tibshirani R, Rivas MA. Molecular Transducers of Physical Activity Consortium (MoTrPAC): Mapping the Dynamic Responses to Exercise. Cell 2020; 181:1464-1474. [DOI: 10.1016/j.cell.2020.06.004] [Citation(s) in RCA: 52] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2020] [Revised: 05/19/2020] [Accepted: 06/01/2020] [Indexed: 12/31/2022]
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Ruf-Zamojski FM, Zamojski MA, Nudelman G, Ge Y, Mendelev N, Smith GR, Zhou X, Toufaily C, Schang G, Gambino LO, Liu H, Gomez Castanon RG, Moriwaki M, Nair V, Pincas H, Nery JR, Bartlett A, Alridge A, Odle AK, Childs GV, Turgeon JL, Welt CK, Ecker JR, Bernard DJ, Sealfon SC. SAT-298 Integrative Single-Cell Transcriptomic and Epigenomic Landscape of Mouse Anterior Pituitary Cell Types. J Endocr Soc 2020. [PMCID: PMC7209186 DOI: 10.1210/jendso/bvaa046.593] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
Abstract
The pituitary gland is a critical regulator of the neuroendocrine system. To further our understanding of the classification, cellular heterogeneity, and regulatory landscape of pituitary cell types, we performed and computationally integrated single cell (SC)/single nucleus (SN) resolution experiments capturing RNA expression, chromatin accessibility, and DNA methylation state from mouse dissociated whole pituitaries. Both SC and SN transcriptome analysis and promoter accessibility identified the five classical hormone-producing cell types (somatotropes, gonadotropes (GT), lactotropes, thyrotropes, and corticotropes). GT cells distinctively expressed transcripts for Cga, Fshb, Lhb, Nr5a1, and Gnrhr in SC RNA-seq and SN RNA-seq. This was matched in SN ATAC-seq with GTs specifically showing open chromatin at the promoter regions for the same genes. Similarly, the other classically defined anterior pituitary cells displayed transcript expression and chromatin accessibility patterns characteristic of their own cell type. This integrated analysis identified additional cell-types, such as a stem cell cluster expressing transcripts for Sox2, Sox9, Mia, and Rbpms, and a broadly accessible chromatin state. In addition, we performed bulk ATAC-seq in the LβT2b gonadotrope-like cell line. While the FSHB promoter region was closed in the cell line, we identified a region upstream of Fshb that became accessible by the synergistic actions of GnRH and activin A, and that corresponded to a conserved region identified by a polycystic ovary syndrome (PCOS) single nucleotide polymorphism (SNP). Although this locus appears closed in deep sequencing bulk ATAC-seq of dissociated mouse pituitary cells, SN ATAC-seq of the same preparation showed that this site was specifically open in mouse GT, but closed in 14 other pituitary cell type clusters. This discrepancy highlighted the detection limit of a bulk ATAC-seq experiment in a subpopulation, as GT represented ~5% of this dissociated anterior pituitary sample. These results identified this locus as a candidate for explaining the dual dependence of Fshb expression on GnRH and activin/TGFβ signaling, and potential new evidence for upstream regulation of Fshb. The pituitary epigenetic landscape provides a resource for improved cell type identification and for the investigation of the regulatory mechanisms driving cell-to-cell heterogeneity.
Additional authors not listed due to abstract submission restrictions: N. Seenarine, M. Amper, N. Jain (ISMMS).
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Affiliation(s)
| | | | | | - Yongchao Ge
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | | | | | | | | | | | - Hanqing Liu
- The Salk Institute for Biological Studies, La Jolla, CA, USA
| | | | | | | | - Hanna Pincas
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Joseph R Nery
- The Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Anna Bartlett
- The Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Andrew Alridge
- The Salk Institute for Biological Studies, La Jolla, CA, USA
| | | | - Gwen V Childs
- Univ of AR Med Sci/Coll of Med, Little Rock, AR, USA
| | | | | | - Joseph R Ecker
- The Salk Institute for Biological Studies, La Jolla, CA, USA
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50
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Rubenstein AB, Smith GR, Raue U, Begue G, Minchev K, Ruf-Zamojski F, Nair VD, Wang X, Zhou L, Zaslavsky E, Trappe TA, Trappe S, Sealfon SC. Single-cell transcriptional profiles in human skeletal muscle. Sci Rep 2020; 10:229. [PMID: 31937892 PMCID: PMC6959232 DOI: 10.1038/s41598-019-57110-6] [Citation(s) in RCA: 133] [Impact Index Per Article: 33.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2019] [Accepted: 12/18/2019] [Indexed: 12/22/2022] Open
Abstract
Skeletal muscle is a heterogeneous tissue comprised of muscle fiber and mononuclear cell types that, in addition to movement, influences immunity, metabolism and cognition. We investigated the gene expression patterns of skeletal muscle cells using RNA-seq of subtype-pooled single human muscle fibers and single cell RNA-seq of mononuclear cells from human vastus lateralis, mouse quadriceps, and mouse diaphragm. We identified 11 human skeletal muscle mononuclear cell types, including two fibro-adipogenic progenitor (FAP) cell subtypes. The human FBN1+ FAP cell subtype is novel and a corresponding FBN1+ FAP cell type was also found in single cell RNA-seq analysis in mouse. Transcriptome exercise studies using bulk tissue analysis do not resolve changes in individual cell-type proportion or gene expression. The cell-type gene signatures provide the means to use computational methods to identify cell-type level changes in bulk studies. As an example, we analyzed public transcriptome data from an exercise training study and revealed significant changes in specific mononuclear cell-type proportions related to age, sex, acute exercise and training. Our single-cell expression map of skeletal muscle cell types will further the understanding of the diverse effects of exercise and the pathophysiology of muscle disease.
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Affiliation(s)
- Aliza B Rubenstein
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, New York, 10029, USA.,Center for Advanced Research on Diagnostic Assays (CARDA), Icahn School of Medicine at Mount Sinai, New York, New York, 10029, USA
| | - Gregory R Smith
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, New York, 10029, USA.,Center for Advanced Research on Diagnostic Assays (CARDA), Icahn School of Medicine at Mount Sinai, New York, New York, 10029, USA
| | - Ulrika Raue
- Human Performance Laboratory, Ball State University, Muncie, Indiana, 47306, USA
| | - Gwénaëlle Begue
- Human Performance Laboratory, Ball State University, Muncie, Indiana, 47306, USA
| | - Kiril Minchev
- Human Performance Laboratory, Ball State University, Muncie, Indiana, 47306, USA
| | - Frederique Ruf-Zamojski
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, New York, 10029, USA.,Center for Advanced Research on Diagnostic Assays (CARDA), Icahn School of Medicine at Mount Sinai, New York, New York, 10029, USA
| | - Venugopalan D Nair
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, New York, 10029, USA.,Center for Advanced Research on Diagnostic Assays (CARDA), Icahn School of Medicine at Mount Sinai, New York, New York, 10029, USA
| | - Xingyu Wang
- Department of Neurology, Boston University Medical Center, Boston, MA, 02118, USA
| | - Lan Zhou
- Department of Neurology, Boston University Medical Center, Boston, MA, 02118, USA
| | - Elena Zaslavsky
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, New York, 10029, USA.,Center for Advanced Research on Diagnostic Assays (CARDA), Icahn School of Medicine at Mount Sinai, New York, New York, 10029, USA
| | - Todd A Trappe
- Human Performance Laboratory, Ball State University, Muncie, Indiana, 47306, USA
| | - Scott Trappe
- Human Performance Laboratory, Ball State University, Muncie, Indiana, 47306, USA
| | - Stuart C Sealfon
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, New York, 10029, USA. .,Center for Advanced Research on Diagnostic Assays (CARDA), Icahn School of Medicine at Mount Sinai, New York, New York, 10029, USA.
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