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Pujari AN, Cullen PJ. Modulators of MAPK pathway activity during filamentous growth in Saccharomyces cerevisiae. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.12.22.573138. [PMID: 38187743 PMCID: PMC10769413 DOI: 10.1101/2023.12.22.573138] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/09/2024]
Abstract
Mitogen-activated protein kinase (MAPK) pathways control the response to intrinsic and extrinsic stimuli. In the budding yeast Saccharomyces cerevisiae, cells undergo filamentous growth, which is regulated by the fMAPK pathway. To better understand the regulation of the fMAPK pathway, a genetic screen was performed to identify spontaneous mutants with elevated activity of an fMAPK-pathway dependent growth reporter (ste4 FUS1-HIS3). In total, 159 mutants were isolated and analyzed by secondary screens for invasive growth by the plate-washing assay, and filament formation by microscopy. Thirty-two mutants were selected for whole-genome sequencing, which identified new alleles in genes encoding known regulators of the fMAPK pathway. These included gain-of-function alleles in STE11, which encodes the MAPKKK, as well as loss-of-function alleles in KSS1, which encodes the MAP kinase, and RGA1, which encodes a GTPase activating protein (GAP) for CDC42. New alleles in previously identified pathway modulators were also uncovered in ALY1, AIM44, RCK2, IRA2, REG1 and in genes that regulate protein folding (KAR2), glycosylation (MNN4), and turnover (BLM10). C-terminal truncations in the transcription factor Ste12p were also uncovered that resulted in elevated reporter activity, presumably identifying an inhibitory domain in the C-terminus of the protein. We also show that a wide variety of filamentous growth phenotypes result from mutations in different regulators of the response. The alleles identified here expand the connections surrounding MAPK pathway regulation and reveal new features of proteins that function in the signaling cascade.
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Affiliation(s)
- Atindra N. Pujari
- Department of Biological Sciences, University at Buffalo, Buffalo, New York 14260
| | - Paul J. Cullen
- Department of Biological Sciences, University at Buffalo, Buffalo, New York 14260
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Liu J, Hu S, Chen L, Daly C, Prada Medina CA, Richardson TG, Traylor M, Dempster NJ, Mbasu R, Monfeuga T, Vujkovic M, Tsao PS, Lynch JA, Voight BF, Chang KM, Million VA, Cobbold JF, Tomlinson JW, van Duijn CM, Howson JMM. Profiling the genome and proteome of metabolic dysfunction-associated steatotic liver disease identifies potential therapeutic targets. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.11.30.23299247. [PMID: 38076879 PMCID: PMC10705663 DOI: 10.1101/2023.11.30.23299247] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/21/2023]
Abstract
BACKGROUND & AIMS Metabolic dysfunction-associated steatotic liver disease (MASLD) affects over 25% of the population and currently has no effective treatments. Plasma proteins with causal evidence may represent promising drug targets. We aimed to identify plasma proteins in the causal pathway of MASLD and explore their interaction with obesity. METHODS We analysed 2,941 plasma proteins in 43,978 European participants from UK Biobank. We performed genome-wide association study (GWAS) for all MASLD-associated proteins and created the largest MASLD GWAS (109,885 cases/1,014,923 controls). We performed Mendelian Randomization (MR) and integrated proteins and their encoding genes in MASLD ranges to identify candidate causal proteins. We then validated them through independent replication, exome sequencing, liver imaging, bulk and single-cell gene expression, liver biopsies, pathway, and phenome-wide data. We explored the role of obesity by MR and multivariable MR across proteins, body mass index, and MASLD. RESULTS We found 929 proteins associated with MASLD, reported five novel genetic loci associated with MASLD, and identified 17 candidate MASLD protein targets. We identified four novel targets for MASLD (CD33, GRHPR, HMOX2, and SCG3), provided protein evidence supporting roles of AHCY, FCGR2B, ORM1, and RBKS in MASLD, and validated nine previously known targets. We found that CD33, FCGR2B, ORM1, RBKS, and SCG3 mediated the association of obesity and MASLD, and HMOX2, ORM1, and RBKS had effect on MASLD independent of obesity. CONCLUSIONS This study identified new protein targets in the causal pathway of MASLD, providing new insights into the multi-omics architecture and pathophysiology of MASLD. These findings advise further therapeutic interventions for MASLD.
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Affiliation(s)
- Jun Liu
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Genetics Centre-of-Excellence, Novo Nordisk Research Centre Oxford, Oxford, UK
| | - Sile Hu
- Genetics Centre-of-Excellence, Novo Nordisk Research Centre Oxford, Oxford, UK
| | - Lingyan Chen
- Genetics Centre-of-Excellence, Novo Nordisk Research Centre Oxford, Oxford, UK
| | - Charlotte Daly
- Department of Discovery Technology and Genomics, Novo Nordisk Research Centre Oxford, Oxford, UK
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Churchill Hospital, Oxford, UK
| | | | - Tom G Richardson
- Genetics Centre-of-Excellence, Novo Nordisk Research Centre Oxford, Oxford, UK
- MRC Integrative Epidemiology Unit (IEU), Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Matthew Traylor
- Genetics Centre-of-Excellence, Novo Nordisk Research Centre Oxford, Oxford, UK
| | - Niall J Dempster
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Churchill Hospital, Oxford, UK
| | - Richard Mbasu
- Department of Discovery Technology and Genomics, Novo Nordisk Research Centre Oxford, Oxford, UK
| | - Thomas Monfeuga
- AI & Digital Research, Research & Early Development, Novo Nordisk Research Centre Oxford, UK
| | - Marijana Vujkovic
- Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Philip S Tsao
- VA Palo Alto Health Care System, Palo Alto, CA, USA
- Department of Cardiovascular Medicine, School of Medicine, Stanford University, Stanford, CA, USA
| | - Julie A Lynch
- VA Informatics and Computing Infrastructure, VA Salt Lake City Health Care System, Salt Lake City, Utah, USA
- Department of Internal Medicine, School of Medicine, University of Utah, Salt Lake City, Utah, USA
| | - Benjamin F Voight
- Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Kyong-Mi Chang
- Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - V A Million
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Genetics Centre-of-Excellence, Novo Nordisk Research Centre Oxford, Oxford, UK
- Department of Discovery Technology and Genomics, Novo Nordisk Research Centre Oxford, Oxford, UK
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Churchill Hospital, Oxford, UK
- AI & Digital Research, Research & Early Development, Novo Nordisk Research Centre Oxford, UK
- MRC Integrative Epidemiology Unit (IEU), Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- VA Palo Alto Health Care System, Palo Alto, CA, USA
- Department of Cardiovascular Medicine, School of Medicine, Stanford University, Stanford, CA, USA
- VA Informatics and Computing Infrastructure, VA Salt Lake City Health Care System, Salt Lake City, Utah, USA
- Department of Internal Medicine, School of Medicine, University of Utah, Salt Lake City, Utah, USA
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- NIHR Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust and the University of Oxford, Oxford, UK
- Translational Gastroenterology Unit, University of Oxford, Oxford, UK
| | - Jeremy F Cobbold
- NIHR Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust and the University of Oxford, Oxford, UK
- Translational Gastroenterology Unit, University of Oxford, Oxford, UK
| | - Jeremy W Tomlinson
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Churchill Hospital, Oxford, UK
- NIHR Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust and the University of Oxford, Oxford, UK
| | | | - Joanna M M Howson
- Genetics Centre-of-Excellence, Novo Nordisk Research Centre Oxford, Oxford, UK
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Lin MS, Jo SY, Luebeck J, Chang HY, Wu S, Mischel PS, Bafna V. Transcriptional immune suppression and upregulation of double stranded DNA damage and repair repertoires in ecDNA-containing tumors. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.04.24.537925. [PMID: 37162993 PMCID: PMC10168239 DOI: 10.1101/2023.04.24.537925] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/11/2023]
Abstract
Extrachromosomal DNA is a common cause of oncogene amplification in cancer. The non-chromosomal inheritance of ecDNA enables tumors to rapidly evolve, contributing to treatment resistance and poor outcome for patients. The transcriptional context in which ecDNAs arise and progress, including chromosomally-driven transcription, is incompletely understood. We examined gene expression patterns of 870 tumors of varied histological types, to identify transcriptional correlates of ecDNA. Here we show that ecDNA containing tumors impact four major biological processes. Specifically, ecDNA containing tumors upregulate DNA damage and repair, cell cycle control, and mitotic processes, but downregulate global immune regulation pathways. Taken together, these results suggest profound alterations in gene regulation in ecDNA containing tumors, shedding light on molecular processes that give rise to their development and progression.
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Affiliation(s)
- Miin S. Lin
- Bioinformatics and Systems Biology Graduate Program, University of California at San Diego, La Jolla, CA, USA
| | - Se-Young Jo
- Department of Biomedical Systems Informatics and Brain Korea 21 PLUS Project for Medical Science, Yonsei University College of Medicine, Seoul, South Korea
| | - Jens Luebeck
- Department of Computer Science and Engineering, University of California at San Diego, La Jolla, CA, USA
| | - Howard Y. Chang
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA, USA
- Department of Genetics, Stanford University, Stanford, CA, USA
- Howard Hughes Medical Institute, Stanford University, Stanford, CA, USA
| | - Sihan Wu
- Children’s Medical Center Research Institute, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Paul S. Mischel
- Sarafan Chemistry, Engineering, and Medicine for Human Health (Sarafan ChEM-H), Stanford University, Stanford, CA, USA
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Vineet Bafna
- Department of Computer Science and Engineering, University of California at San Diego, La Jolla, CA, USA
- Halıcıoğlu Data Science Institute, University of California at San Diego, La Jolla, CA, USA
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Fazeli E, Child DD, Bucks SA, Stovarsky M, Edwards G, Rose SE, Yu CE, Latimer C, Kitago Y, Bird T, Jayadev S, Andersen OM, Young JE. A familial missense variant in the Alzheimer's Disease gene SORL1 impairs its maturation and endosomal sorting. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.07.01.547348. [PMID: 37461597 PMCID: PMC10349966 DOI: 10.1101/2023.07.01.547348] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 07/24/2023]
Abstract
The SORL1 gene has recently emerged as a strong Alzheimer's Disease (AD) risk gene. Over 500 different variants have been identified in the gene and the contribution of individual variants to AD development and progression is still largely unknown. Here, we describe a family consisting of 2 parents and 5 offspring. Both parents were affected with dementia and one had confirmed AD pathology with an age of onset >75 years. All offspring were affected with AD with ages at onset ranging from 53yrs-74yrs. DNA was available from the parent with confirmed AD and 5 offspring. We identified a coding variant, p.(Arg953Cys), in SORL1 in 5 of 6 individuals affected by AD. Notably, variant carriers had severe AD pathology, and the SORL1 variant segregated with TDP-43 pathology (LATE-NC). We further characterized this variant and show that this Arginine substitution occurs at a critical position in the YWTD-domain of the SORL1 translation product, SORL1. Functional studies further show that the p.R953C variant leads to retention of the SORL1 protein in the endoplasmic reticulum which leads to decreased maturation and shedding of the receptor and prevents its normal endosomal trafficking. Together, our analysis suggests that p.R953C is a pathogenic variant of SORL1 and sheds light on mechanisms of how missense SORL1 variants may lead to AD.
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Affiliation(s)
- Elnaz Fazeli
- Department of Biomedicine, Aarhus University, Høegh-Guldbergs Gade 10, DK8000 AarhusC, Denmark
| | - Daniel D. Child
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle Washington USA
| | - Stephanie A. Bucks
- Department of Neurology, University of Washington, Seattle Washington USA
| | - Miki Stovarsky
- Department of Medicine, Division of Medical Genetics University of Washington, Seattle Washington USA
| | - Gabrielle Edwards
- Department of Neurology, University of Washington, Seattle Washington USA
| | - Shannon E. Rose
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle Washington USA
| | - Chang-En Yu
- Department of Medicine, Division of Medical Genetics University of Washington, Seattle Washington USA
- Geriatric Research Education and Clinical Center (GRECC), Veterans Administration Health Care System
| | - Caitlin Latimer
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle Washington USA
| | - Yu Kitago
- Ann Romney Center for Neurologic Diseases, Harvard Medical School and Brigham and Women’s Hospital, Boston, MA 02115
| | - Thomas Bird
- Department of Neurology, University of Washington, Seattle Washington USA
- Department of Medicine, Division of Medical Genetics University of Washington, Seattle Washington USA
- Geriatric Research Education and Clinical Center (GRECC), Veterans Administration Health Care System
| | - Suman Jayadev
- Department of Neurology, University of Washington, Seattle Washington USA
| | - Olav M. Andersen
- Department of Biomedicine, Aarhus University, Høegh-Guldbergs Gade 10, DK8000 AarhusC, Denmark
| | - Jessica E. Young
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle Washington USA
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Choi YJ, Fischer K, Méité A, Koudou BG, Fischer PU, Mitreva M. Distinguishing recrudescence from reinfection in lymphatic filariasis: a genomics-based approach for monitoring worm burden. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.11.05.23297155. [PMID: 37986785 PMCID: PMC10659506 DOI: 10.1101/2023.11.05.23297155] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/22/2023]
Abstract
Background The Global Program to Eliminate Lymphatic Filariasis is the largest public health program based on mass drug administration (MDA). Despite decades of MDA, ongoing transmission in some countries remains a challenge. To optimize interventions, it is essential to differentiate between recrudescence (poor drug response and persistent infection) and new infections (ongoing transmission). Since adult filariae are inaccessible in humans, an approach that relies on genotyping the offspring microfilariae (mf) is required. Methods We utilized Brugia malayi adults and mf obtained from gerbils with a known pedigree to develop and validate our whole-genome amplification and kinship analysis approach. We then sequenced the genomes of Wuchereria bancrofti mf from infected humans from Côte d'Ivoire (CDI), characterized the population genetic diversity, and made inferences about the adult breeders. We developed a whole-exome capture panel for W. bancrofti to enrich parasite nuclear DNA from lower-quality samples contaminated with host DNA. Results We established a robust analysis pipeline using B. malayi adult and mf. We estimated the pre-treatment genetic diversity in W. bancrofti from 269 mf collected from 18 individuals, and further analyzed 1-year post-treatment samples of 74 mf from 4 individuals. By reconstructing and temporally tracking sibling relationships across pre- and post-treatment samples, we differentiated between new and established maternal families, suggesting reinfection in one subject and recrudescence in three subjects. Estimated reproductively active adult females ranged between 3 and 9 in the studied subjects. Hemizygosity of the male X-chromosome allowed for direct inference of haplotypes, facilitating robust maternal parentage inference, even when the genetic diversity was low. Population structure analysis revealed genetically distinct parasites among our CDI samples. Sequence composition and variant analysis of whole-exome libraries showed that the hybridization capture approach can effectively enrich parasite nuclear DNA and identify protein-coding variants with ∼95% genotype concordance rate. Conclusions We have generated resources to facilitate development of field-deployable genotyping tools that can estimate worm burdens and monitor parasite populations. These tools are essential for the success of lymphatic filariasis MDA programs. With further expansion of the databases to include geographically diverse samples, we will be able to spatially track parasite movement associated with host/vector migration.
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Warnhoff K, Bhattacharya S, Snoozy J, Breen PC, Ruvkun G. Hypoxia-inducible factor induces cysteine dioxygenase and promotes cysteine homeostasis in Caenorhabditis elegans. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.05.04.538701. [PMID: 37205365 PMCID: PMC10187278 DOI: 10.1101/2023.05.04.538701] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/21/2023]
Abstract
Dedicated genetic pathways regulate cysteine homeostasis. For example, high levels of cysteine activate cysteine dioxygenase, a key enzyme in cysteine catabolism in most animal and many fungal species. The mechanism by which cysteine dioxygenase is regulated is largely unknown. In an unbiased genetic screen for mutations that activate cysteine dioxygenase (cdo-1) in the nematode C. elegans, we isolated loss-of-function mutations in rhy-1 and egl-9, which encode proteins that negatively regulate the stability or activity of the oxygen-sensing hypoxia inducible transcription factor (hif-1). EGL-9 and HIF-1 are core members of the conserved eukaryotic hypoxia response. However, we demonstrate that the mechanism of HIF-1-mediated induction of cdo-1 is largely independent of EGL-9 prolyl hydroxylase activity and the von Hippel-Lindau E3 ubiquitin ligase, the classical hypoxia signaling pathway components. We demonstrate that C. elegans cdo-1 is transcriptionally activated by high levels of cysteine and hif-1. hif-1-dependent activation of cdo-1 occurs downstream of an H2S-sensing pathway that includes rhy-1, cysl-1, and egl-9. cdo-1 transcription is primarily activated in the hypodermis where it is also sufficient to drive sulfur amino acid metabolism. Thus, the regulation of cdo-1 by hif-1 reveals a negative feedback loop that maintains cysteine homeostasis. High levels of cysteine stimulate the production of an H2S signal. H2S then acts through the rhy-1/cysl-1/egl-9 signaling pathway to increase HIF-1-mediated transcription of cdo-1, promoting degradation of cysteine via CDO-1.
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Affiliation(s)
- Kurt Warnhoff
- Pediatrics and Rare Diseases Group, Sanford Research, Sioux Falls, SD 57104, USA
- Department of Pediatrics, Sanford School of Medicine, University of South Dakota, Sioux Falls, SD 57105 USA
| | - Sushila Bhattacharya
- Pediatrics and Rare Diseases Group, Sanford Research, Sioux Falls, SD 57104, USA
| | - Jennifer Snoozy
- Pediatrics and Rare Diseases Group, Sanford Research, Sioux Falls, SD 57104, USA
| | - Peter C. Breen
- Department of Molecular Biology, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Gary Ruvkun
- Department of Molecular Biology, Massachusetts General Hospital, Boston, MA 02114, USA
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Matzkin LM, Bono JM, Pigage HK, Allan CW, Diaz F, McCoy JR, Green CC, Callan JB, Delahunt SP. Females translate male mRNA transferred during mating. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.09.22.558997. [PMID: 37790342 PMCID: PMC10542174 DOI: 10.1101/2023.09.22.558997] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/05/2023]
Abstract
Although RNA is found in the seminal fluid of diverse organisms, it is unknown whether this RNA is functional within females. Here, we develop an experimental proteomic method called VESPA (Variant Enabled SILAC Proteomic Analysis) to test the hypothesis that Drosophila male seminal fluid RNA is translated by females. We find strong evidence for 67 male-derived, female-translated proteins (mdFTPs) in female lower reproductive tracts at six hours postmating, many with predicted functions relevant to reproduction. Gene knockout experiments indicate that genes coding for mdFTPs play diverse roles in postmating interactions, with effects on fertilization efficiency, and the formation and persistence of the insemination reaction mass, a trait hypothesized to be involved in sexual conflict. These findings advance our understanding of reproduction by revealing a novel mechanism of postmating molecular interactions between the sexes that strengthens and extends male influences on reproductive outcomes in previously unrecognized ways. Given the diverse species known to carry RNA in seminal fluid, this discovery has broad significance for understanding molecular mechanisms of cooperation and conflict during reproduction.
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Affiliation(s)
- Luciano M. Matzkin
- Department of Entomology, University of Arizona, Tucson, AZ, USA
- BIO5 Institute, University of Arizona, Tucson, AZ, USA
- Department of Ecology and Evolutionary Biology, Tucson, AZ, USA
| | - Jeremy M. Bono
- Department of Biology, University of Colorado Colorado Springs, Colorado Springs, CO, USA
| | - Helen K. Pigage
- Department of Biology, University of Colorado Colorado Springs, Colorado Springs, CO, USA
| | - Carson W. Allan
- Department of Entomology, University of Arizona, Tucson, AZ, USA
| | - Fernando Diaz
- Department of Entomology, University of Arizona, Tucson, AZ, USA
| | - John R. McCoy
- Department of Biology, University of Colorado Colorado Springs, Colorado Springs, CO, USA
| | - Clinton C. Green
- Department of Biology, University of Colorado Colorado Springs, Colorado Springs, CO, USA
| | - Jeffrey B. Callan
- Department of Biology, University of Colorado Colorado Springs, Colorado Springs, CO, USA
| | - Stephen P. Delahunt
- Department of Biology, University of Colorado Colorado Springs, Colorado Springs, CO, USA
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Risemberg EL, Smeekens JM, Cisneros MCC, Hampton BK, Hock P, Linnertz CL, Miller DR, Orgel K, Shaw GD, de Villena FPM, Burks AW, Valdar W, Kulis MD, Ferris MT. A mutation in Themis contributes to peanut-induced oral anaphylaxis in CC027 mice. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.09.13.557467. [PMID: 37745496 PMCID: PMC10515941 DOI: 10.1101/2023.09.13.557467] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/26/2023]
Abstract
Background The development of peanut allergy is due to a combination of genetic and environmental factors, although specific genes have proven difficult to identify. Previously, we reported that peanut-sensitized CC027/GeniUnc (CC027) mice develop anaphylaxis upon oral challenge to peanut, unlike C3H/HeJ (C3H) mice. Objective To determine the genetic basis of orally-induced anaphylaxis to peanut in CC027 mice. Methods A genetic mapping population between CC027 and C3H mice was designed to identify the genetic factors that drive oral anaphylaxis. A total of 356 CC027xC3H backcrossed mice were generated, sensitized to peanut, then challenged to peanut by oral gavage. Anaphylaxis and peanut-specific IgE were quantified for all mice. T-cell phenotyping was conducted on CC027 and five additional CC strains. Results Anaphylaxis to peanut was absent in 77% of backcrossed mice, with 19% showing moderate anaphylaxis, and 4% having severe anaphylaxis. A total of eight genetic loci were associated with variation in response to peanut challenge, six associated with anaphylaxis (temperature decrease) and two associated with peanut-specific IgE levels. There were two major loci that impacted multiple aspects of the severity of acute anaphylaxis, at which the CC027 allele was associated with worse outcome. At one of these loci, CC027 has a private genetic variant in the Themis (thymocyte-expressed molecule involved in selection) gene. Consistent with Themis' described functions, we found that CC027 have more immature T cells with fewer CD8+, CD4+, and CD4+CD25+CD127- regulatory T cells. Conclusion Our results demonstrate a key role for Themis in the orally-reactive CC027 mouse model of peanut allergy.
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Affiliation(s)
- Ellen L. Risemberg
- Curriculum in Bioinformatics and Computational Biology, UNC Chapel Hill
- Department of Genetics, UNC Chapel Hill
| | - Johanna M. Smeekens
- Department of Pediatrics, Division of Allergy and Immunology, UNC Chapel Hill
| | - Marta C. Cruz Cisneros
- Department of Genetics, UNC Chapel Hill
- Curriculum in Genetics and Molecular Biology, UNC Chapel Hill
| | - Brea K. Hampton
- Department of Genetics, UNC Chapel Hill
- Curriculum in Genetics and Molecular Biology, UNC Chapel Hill
| | | | | | | | - Kelly Orgel
- Department of Pediatrics, Division of Allergy and Immunology, UNC Chapel Hill
| | - Ginger D. Shaw
- Department of Genetics, UNC Chapel Hill
- Lineberger Comprehensive Cancer Center, UNC Chapel Hill
| | | | - A. Wesley Burks
- Department of Pediatrics, Division of Allergy and Immunology, UNC Chapel Hill
| | - William Valdar
- Department of Genetics, UNC Chapel Hill
- Lineberger Comprehensive Cancer Center, UNC Chapel Hill
| | - Michael D. Kulis
- Department of Pediatrics, Division of Allergy and Immunology, UNC Chapel Hill
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Pardo-Roa C, Nelson MI, Ariyama N, Aguayo C, Almonacid LI, Munoz G, Navarro C, Avila C, Ulloa M, Reyes R, Luppichini EF, Mathieu C, Vergara R, González Á, González CG, Araya H, Fernández J, Fasce R, Johow M, Medina RA, Neira V. Cross-species transmission and PB2 mammalian adaptations of highly pathogenic avian influenza A/H5N1 viruses in Chile. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.06.30.547205. [PMID: 37786724 PMCID: PMC10541606 DOI: 10.1101/2023.06.30.547205] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
H5N1 highly pathogenic avian influenza viruses (HPAIV) emerged in wild birds in Chile in December 2022 and spilled over into poultry, marine mammals, and one human. Between December 9, 2022 - March 14, 2023, a coordinated government/academic response detected HPAIV by real-time RT-PCR in 8.5% (412/4735) of samples from 23 avian and 3 mammal orders. Whole-genome sequences obtained from 77 birds and 8 marine mammals revealed that all Chilean H5N1 viruses belong to lineage 2.3.4.4b and cluster monophyletically with viruses from Peru, indicating a single introduction from North America into Peru/Chile. Mammalian adaptations were identified in the PB2 segment: D701N in two sea lions, one human, and one shorebird, and Q591K in the human and one sea lion. Minor variant analysis revealed that D701N was present in 52.9 - 70.9% of sequence reads, indicating the presence of both genotypes within hosts. Further surveillance of spillover events is warranted to assess the emergence and potential onward transmission of mammalian adapted H5N1 HPAIV in South America.
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Affiliation(s)
- Catalina Pardo-Roa
- Department of Child and Adolescent Health, School of Nursing, Pontificia Universidad Católica de Chile, Santiago, Chile
- Department of Pediatric Infectious Diseases and Immunology, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Martha I Nelson
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - Naomi Ariyama
- Departamento de Medicina Preventiva Animal, Facultad de Ciencias Veterinarias y Pecuarias, Universidad de Chile. 11735 Santa Rosa, La Pintana, Santiago, Chile
| | | | - Leonardo I Almonacid
- Molecular Bioinformatics Laboratory, Department of Molecular Genetics and Microbiology, Faculty of Biological Sciences, Pontificia Universidad Católica de Chile, Santiago, Chile
- Institute for Biological and Medical Engineering, Schools of Engineering, Medicine and Biological Sciences, Pontificia Universidad Católica de Chile, Santiago, Chile
| | | | - Carlos Navarro
- Servicio Nacional de Pesca y Acuicultura, SERNAPESCA, Chile
| | | | - Mauricio Ulloa
- Servicio Nacional de Pesca y Acuicultura, SERNAPESCA, Chile
- Veterinary Histology and Pathology, Institute of Animal Health and Food Safety, Veterinary School, University of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain
| | - Rodolfo Reyes
- Veterinary Histology and Pathology, Institute of Animal Health and Food Safety, Veterinary School, University of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain
| | - Eugenia Fuentes Luppichini
- Department of Pediatric Infectious Diseases and Immunology, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile
| | | | | | | | | | - Hugo Araya
- Servicio Agrícola y Ganadero, SAG, Chile
| | - Jorge Fernández
- Instituto de Salud Pública, ISP, Ministerio de Salud, Santiago, Chile
| | - Rodrigo Fasce
- Instituto de Salud Pública, ISP, Ministerio de Salud, Santiago, Chile
| | | | - Rafael A Medina
- Department of Pediatric Infectious Diseases and Immunology, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile
- Department of Pathology and Laboratory Medicine, School of Medicine, Emory Vaccine Center, Emory University, Atlanta, USA
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, USA
| | - Victor Neira
- Departamento de Medicina Preventiva Animal, Facultad de Ciencias Veterinarias y Pecuarias, Universidad de Chile. 11735 Santa Rosa, La Pintana, Santiago, Chile
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Ray D, Loomis SJ, Venkataraghavan S, Tin A, Yu B, Chatterjee N, Selvin E, Duggal P. Characterizing common and rare variations in non-traditional glycemic biomarkers using multivariate approaches on multi-ancestry ARIC study. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.06.13.23289200. [PMID: 37398180 PMCID: PMC10312851 DOI: 10.1101/2023.06.13.23289200] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/04/2023]
Abstract
Glycated hemoglobin, fasting glucose, glycated albumin, and fructosamine are biomarkers that reflect different aspects of the glycemic process. Genetic studies of these glycemic biomarkers can shed light on unknown aspects of type 2 diabetes genetics and biology. While there exists several GWAS of glycated hemoglobin and fasting glucose, very few GWAS have focused on glycated albumin or fructosamine. We performed a multi-phenotype GWAS of glycated albumin and fructosamine from 7,395 White and 2,016 Black participants in the Atherosclerosis Risk in Communities (ARIC) study on the common variants from genotyped/imputed data. We found 2 genome-wide significant loci, one mapping to known type 2 diabetes gene (ARAP1/STARD10, p = 2.8 × 10-8) and another mapping to a novel gene (UGT1A, p = 1.4 × 10-8) using multi-omics gene mapping strategies in diabetes-relevant tissues. We identified additional loci that were ancestry-specific (e.g., PRKCA from African ancestry individuals, p = 1.7 × 10-8) and sex-specific (TEX29 locus in males only, p = 3.0 × 10-8). Further, we implemented multi-phenotype gene-burden tests on whole-exome sequence data from 6,590 White and 2,309 Black ARIC participants. Eleven genes across different rare variant aggregation strategies were exome-wide significant only in multi-ancestry analysis. Four out of 11 genes had notable enrichment of rare predicted loss of function variants in African ancestry participants despite smaller sample size. Overall, 8 out of 15 loci/genes were implicated to influence these biomarkers via glycemic pathways. This study illustrates improved locus discovery and potential effector gene discovery by leveraging joint patterns of related biomarkers across entire allele frequency spectrum in multi-ancestry analyses. Most of the loci/genes we identified have not been previously implicated in studies of type 2 diabetes, and future investigation of the loci/genes potentially acting through glycemic pathways may help us better understand risk of developing type 2 diabetes.
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Affiliation(s)
- Debashree Ray
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD
- Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD
| | | | - Sowmya Venkataraghavan
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD
| | - Adrienne Tin
- School of Medicine, University of Mississippi Medical Center, Jackson, MS
| | - Bing Yu
- Department of Epidemiology, UTHealth School of Public Health, Houston, TX
| | - Nilanjan Chatterjee
- Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD
- Department of Oncology, School of Medicine, Johns Hopkins University, Baltimore, MD
| | - Elizabeth Selvin
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD
- Welch Center for Prevention, Epidemiology, & Clinical Research, Johns Hopkins University, Baltimore, MD
| | - Priya Duggal
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD
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11
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Zhang M, Bouland GA, Holstege H, Reinders MJT. Identifying Aging and Alzheimer Disease-Associated Somatic Variations in Excitatory Neurons From the Human Frontal Cortex. Neurol Genet 2023; 9:e200066. [PMID: 37123987 PMCID: PMC10136684 DOI: 10.1212/nxg.0000000000200066] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Accepted: 02/03/2023] [Indexed: 05/02/2023]
Abstract
Background and Objectives With age, somatic mutations accumulated in human brain cells can lead to various neurologic disorders and brain tumors. Because the incidence rate of Alzheimer disease (AD) increases exponentially with age, investigating the association between AD and the accumulation of somatic mutation can help understand the etiology of AD. Methods We designed a somatic mutation detection workflow by contrasting genotypes derived from whole-genome sequencing (WGS) data with genotypes derived from scRNA-seq data and applied this workflow to 76 participants from the Religious Order Study and the Rush Memory and Aging Project (ROSMAP) cohort. We focused only on excitatory neurons, the dominant cell type in the scRNA-seq data. Results We identified 196 sites that harbored at least 1 individual with an excitatory neuron-specific somatic mutation (ENSM), and these 196 sites were mapped to 127 genes. The single base substitution (SBS) pattern of the putative ENSMs was best explained by signature SBS5 from the Catalogue of Somatic Mutations in Cancer (COSMIC) mutational signatures, a clock-like pattern correlating with the age of the individual. The count of ENSMs per individual also showed an increasing trend with age. Among the mutated sites, we found 2 sites tend to have more mutations in older individuals (16:6899517 [RBFOX1], p = 0.04; 4:21788463 [KCNIP4], p < 0.05). In addition, 2 sites were found to have a higher odds ratio to detect a somatic mutation in AD samples (6:73374221 [KCNQ5], p = 0.01 and 13:36667102 [DCLK1], p = 0.02). Thirty-two genes that harbor somatic mutations unique to AD and the KCNQ5 and DCLK1 genes were used for gene ontology (GO)-term enrichment analysis. We found the AD-specific ENSMs enriched in the GO-term "vocalization behavior" and "intraspecies interaction between organisms." Of interest we observed both age-specific and AD-specific ENSMs enriched in the K+ channel-associated genes. Discussion Our results show that combining scRNA-seq and WGS data can successfully detect putative somatic mutations. The putative somatic mutations detected from ROSMAP data set have provided new insights into the association of AD and aging with brain somatic mutagenesis.
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Affiliation(s)
- Meng Zhang
- Delft Bioinformatics Lab (M.Z., G.A.B., H.H., M.J.T.R.), Delft University of Technology; Department of Human Genetics (M.Z., H.H.), Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC; and Department of Human Genetics (G.A.B., M.J.T.R.), Leiden University Medical Center, the Netherlands
| | - Gerard A Bouland
- Delft Bioinformatics Lab (M.Z., G.A.B., H.H., M.J.T.R.), Delft University of Technology; Department of Human Genetics (M.Z., H.H.), Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC; and Department of Human Genetics (G.A.B., M.J.T.R.), Leiden University Medical Center, the Netherlands
| | - Henne Holstege
- Delft Bioinformatics Lab (M.Z., G.A.B., H.H., M.J.T.R.), Delft University of Technology; Department of Human Genetics (M.Z., H.H.), Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC; and Department of Human Genetics (G.A.B., M.J.T.R.), Leiden University Medical Center, the Netherlands
| | - Marcel J T Reinders
- Delft Bioinformatics Lab (M.Z., G.A.B., H.H., M.J.T.R.), Delft University of Technology; Department of Human Genetics (M.Z., H.H.), Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC; and Department of Human Genetics (G.A.B., M.J.T.R.), Leiden University Medical Center, the Netherlands
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12
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Roberts AM, DiStefano MT, Riggs ER, Josephs KS, Alkuraya FS, Amberger J, Amin M, Berg JS, Cunningham F, Eilbeck K, Firth HV, Foreman J, Hamosh A, Hay E, Leigh S, Martin CL, McDonagh EM, Perrett D, Ramos EM, Robinson PN, Rath A, van Sant D, Stark Z, Whiffin N, Rehm HL, Ware JS. Towards robust clinical genome interpretation: developing a consistent terminology to characterize disease-gene relationships - allelic requirement, inheritance modes and disease mechanisms. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.03.30.23287948. [PMID: 37066232 PMCID: PMC10104222 DOI: 10.1101/2023.03.30.23287948] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 04/29/2023]
Abstract
PURPOSE The terminology used for gene-disease curation and variant annotation to describe inheritance, allelic requirement, and both sequence and functional consequences of a variant is currently not standardized. There is considerable discrepancy in the literature and across clinical variant reporting in the derivation and application of terms. Here we standardize the terminology for the characterization of disease-gene relationships to facilitate harmonized global curation, and to support variant classification within the ACMG/AMP framework. METHODS Terminology for inheritance, allelic requirement, and both structural and functional consequences of a variant used by Gene Curation Coalition (GenCC) members and partner organizations was collated and reviewed. Harmonized terminology with definitions and use examples was created, reviewed, and validated. RESULTS We present a standardized terminology to describe gene-disease relationships, and to support variant annotation. We demonstrate application of the terminology for classification of variation in the ACMG SF 2.0 genes recommended for reporting of secondary findings. Consensus terms were agreed and formalized in both sequence ontology (SO) and human phenotype ontology (HPO) ontologies. GenCC member groups intend to use or map to these terms in their respective resources. CONCLUSION The terminology standardization presented here will improve harmonization, facilitate the pooling of curation datasets across international curation efforts and, in turn, improve consistency in variant classification and genetic test interpretation.
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Affiliation(s)
- Angharad M Roberts
- National Heart & Lung Institute & MRC London Institute of Medical Sciences, Imperial College London, London, UK
- Dept of Medical Genetics, Great Ormond Street Hospital, Great Ormond Street, London. WC1N 3JH, UK
| | - Marina T DiStefano
- Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Erin Rooney Riggs
- Geisinger Autism & Developmental Medicine Institute, Danville, PA, USA
| | - Katherine S Josephs
- National Heart & Lung Institute & MRC London Institute of Medical Sciences, Imperial College London, London, UK
- Royal Brompton & Harefield Hospitals, Guy's and St. Thomas' NHS Foundation Trust, London, UK
| | - Fowzan S Alkuraya
- Department of Translational Genomics, Center for Genomic Medicine, KFSHRC, Riyadh, Saudi Arabia
| | - Joanna Amberger
- Online Mendelian Inheritance in Man (OMIM), Johns Hopkins University School of Medicine, USA
| | | | - Jonathan S Berg
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill NC, 27599
| | - Fiona Cunningham
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, United Kingdom
| | - Karen Eilbeck
- Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah
| | - Helen V Firth
- Dept of Medical Genetics, Cambridge University Hospitals, Cambridge CB2 0QQ, UK
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, CB10 1SA, UK
| | - Julia Foreman
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, CB10 1SA, UK
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, United Kingdom
| | - Ada Hamosh
- Online Mendelian Inheritance in Man (OMIM), Johns Hopkins University School of Medicine, USA
| | - Eleanor Hay
- Dept of Medical Genetics, Great Ormond Street Hospital, Great Ormond Street, London. WC1N 3JH, UK
| | - Sarah Leigh
- Genomics England, Queen Mary University of London, Dawson Hall, London, EC1M 6BQ, UK
| | | | - Ellen M McDonagh
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, United Kingdom
- Open Targets, Cambridge, UK
| | - Daniel Perrett
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, United Kingdom
| | - Erin M Ramos
- National Human Genome Research Institute, National Institutes of Health, USA
| | - Peter N Robinson
- The Jackson Laboratory for Genomic Medicine, Farmington CT 06032, USA
| | - Ana Rath
- INSERM, US14-Orphanet, Paris, France
| | - David van Sant
- Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah
| | - Zornitza Stark
- Australian Genomics, Melbourne 3052, Australia
- Victorian Clinical Genetics Services, Murdoch Children's Research Institute, Melbourne 3052, Australia
- University of Melbourne, Melbourne 3052, Australia
| | - Nicola Whiffin
- Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Big Data Institute and Wellcome Centre for Human Genetics, University of Oxford, UK
| | - Heidi L Rehm
- Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - James S Ware
- National Heart & Lung Institute & MRC London Institute of Medical Sciences, Imperial College London, London, UK
- Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, United Kingdom
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Puckelwartz MJ, Pesce LL, Hernandez EJ, Webster G, Dellefave-Castillo LM, Russell MW, Geisler SS, Kearns SD, Etheridge FK, Etheridge SP, Monroe TO, Pottinger TD, Kannankeril PJ, Shoemaker MB, Fountain D, Roden DM, MacLeod H, Burns KM, Yandell M, Tristani-Firouzi M, George AL, McNally EM. The impact of damaging epilepsy and cardiac genetic variant burden in sudden death in the young. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.03.27.23287711. [PMID: 37034657 PMCID: PMC10081419 DOI: 10.1101/2023.03.27.23287711] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/19/2023]
Abstract
Background Sudden unexpected death in children is a tragic event. Understanding the genetics of sudden death in the young (SDY) enables family counseling and cascade screening. The objective of this study was to characterize genetic variation in an SDY cohort using whole genome sequencing. Methods The SDY Case Registry is a National Institutes of Health/Centers for Disease Control surveillance effort to discern the prevalence, causes, and risk factors for SDY. The SDY Case Registry prospectively collected clinical data and DNA biospecimens from SDY cases <20 years of age. SDY cases were collected from medical examiner and coroner offices spanning 13 US jurisdictions from 2015-2019. The cohort included 211 children (mean age 1 year; range 0-20 years), determined to have died suddenly and unexpectedly and in whom DNA biospecimens and next-of-kin consent were ascertained. A control cohort consisted of 211 randomly sampled, sex-and ancestry-matched individuals from the 1000 Genomes Project. Genetic variation was evaluated in epilepsy, cardiomyopathy and arrhythmia genes in the SDY and control cohorts. American College of Medical Genetics/Genomics guidelines were used to classify variants as pathogenic or likely pathogenic. Additionally, genetic variation predicted to be damaging was identified using a Bayesian-based artificial intelligence (AI) tool. Results The SDY cohort was 42% European, 30% African, 17% Hispanic, and 11% with mixed ancestries, and 39% female. Six percent of the cohort was found to harbor a pathogenic or likely pathogenic genetic variant in an epilepsy, cardiomyopathy or arrhythmia gene. The genomes of SDY cases, but not controls, were enriched for rare, damaging variants in epilepsy, cardiomyopathy and arrhythmia-related genes. A greater number of rare epilepsy genetic variants correlated with younger age at death. Conclusions While damaging cardiomyopathy and arrhythmia genes are recognized contributors to SDY, we also observed an enrichment in epilepsy-related genes in the SDY cohort, and a correlation between rare epilepsy variation and younger age at death. These findings emphasize the importance of considering epilepsy genes when evaluating SDY.
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14
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Cararo-Lopes E, Sawant A, Moore D, Ke H, Shi F, Laddha S, Chen Y, Sharma A, Naumann J, Guo JY, Gomez M, Ibrahim M, Smith TL, Riedlinger GM, Lattime EC, Trooskin S, Ganesan S, Su X, Pasqualini R, Arap W, De S, Chan CS, White E. Integrated metabolic and genetic analysis reveals distinct features of primary differentiated thyroid cancer and its metastatic potential in humans. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.03.09.23287037. [PMID: 36945575 PMCID: PMC10029066 DOI: 10.1101/2023.03.09.23287037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/12/2023]
Abstract
Differentiated thyroid cancer (DTC) affects thousands of lives worldwide every year. Typically, DTC is a treatable disease with a good prognosis. Yet, some patients are subjected to partial or total thyroidectomy and radioiodine therapy to prevent local disease recurrence and metastasis. Unfortunately, thyroidectomy and/or radioiodine therapy often worsen(s) the quality of life and might be unnecessary in indolent DTC cases. This clinical setting highlights the unmet need for a precise molecular diagnosis of DTC, which should dictate appropriate therapy. Here we propose a differential multi-omics model approach to distinguish normal gland from thyroid tumor and to indicate potential metastatic diseases in papillary thyroid cancer (PTC), a sub-class of DTC. Based on PTC patient samples, our data suggest that elevated nuclear and mitochondrial DNA mutational burden, intratumor heterogeneity, shortened telomere length, and altered metabolic profile reflect the potential for metastatic disease. Specifically, normal and tumor thyroid tissues from these patients had a distinct yet well-defined metabolic profile with high levels of anabolic metabolites and/or other metabolites associated with the energy maintenance of tumor cells. Altogether, this work indicates that a differential and integrated multi-omics approach might improve DTC management, perhaps preventing unnecessary thyroid gland removal and/or radioiodine therapy. Well-designed, prospective translational clinical trials will ultimately show the value of this targeted molecular approach. TRANSLATIONAL RELEVANCE In this article, we propose a new integrated metabolic, genomic, and cytopathologic methods to diagnose Differentiated Thyroid Cancer when the conventional methods failed. Moreover, we suggest metabolic and genomic markers to help predict high-risk Papillary Thyroid Cancer. Both might be important tools to avoid unnecessary surgery and/or radioiodine therapy that can worsen the quality of life of the patients more than living with an indolent Thyroid nodule.
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15
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Kim J, Vaksman Z, Egolf LE, Kaufman R, Evans JP, Conkrite KL, Danesh A, Lopez G, Randall MP, Dent MH, Farra LM, Menghani N, Dymek M, Desai H, Hausler R, Guidry Auvil JM, Gerhard DS, Hakonarson H, Maxwell KN, Cole KA, Pugh TJ, Bosse KR, Khan J, Wei JS, Maris JM, Stewart DR, Diskin SJ. Germline pathogenic variants in 786 neuroblastoma patients. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.01.23.23284864. [PMID: 36747619 PMCID: PMC9901064 DOI: 10.1101/2023.01.23.23284864] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
Importance Neuroblastoma accounts for 12% of childhood cancer deaths. The genetic contribution of rare pathogenic germline variation in patients without a family history remains unclear. Objective To define the prevalence, spectrum, and clinical significance of pathogenic germline variation in cancer predisposition genes (CPGs) in neuroblastoma patients. Design Setting and Participants Germline DNA sequencing was performed on the peripheral blood from 786 neuroblastoma patients unselected for family history. Rare variants mapping to CPGs were evaluated for pathogenicity and the percentage of cases harboring pathogenic (P) or likely pathogenic (LP) variants was quantified. The frequency of CPG P-LP variants in neuroblastoma cases was compared to two distinct cancer-free control cohorts to assess enrichment. Matched tumor DNA sequencing was evaluated for "second hits" at CPGs and germline DNA array data from 5,585 neuroblastoma cases and 23,505 cancer-free control children was analyzed to identify rare germline copy number variants (CNVs) affecting genes with an excess burden of P-LP variants in neuroblastoma. Neuroblastoma patients with germline P-LP variants were compared to those without P-LP variants to test for association with clinical characteristics, tumor features, and patient survival. Main Outcomes and Measures Rare variant prevalence, pathogenicity, enrichment, and association with clinical characteristics, tumor features, and patient survival. Results We observed 116 P-LP variants in CPGs involving 13.9% (109/786) of patients, representing a significant excess burden of P-LP variants compared to controls (9.1%; P = 5.14 × 10-5, Odds Ratio: 1.60, 95% confidence interval: 1.27-2.00). BARD1 harbored the most significant burden of P-LP variants compared to controls (1.0% vs. 0.03%; P = 8.18 × 10-7; Odds Ratio: 32.30, 95% confidence interval: 6.44-310.35). Rare germline CNVs disrupting BARD1 were also identified in neuroblastoma patients (0.05%) but absent in controls (P = 7.08 × 10-3; Odds Ratio: 29.47, 95% confidence interval: 1.52 - 570.70). Overall, P-LP variants in DNA repair genes in this study were enriched in cases compared to controls (8.1% vs. 5.7%; P = 0.01; Odds Ratio: 1.45, 95% confidence interval: 1.08-1.92). Neuroblastoma patients harboring a germline P-LP variant had a worse overall survival when compared to patients without P-LP variants (P = 8.6 × 10-3), and this remained significant in a multivariate Cox proportional-hazards model (P = 0.01). Conclusions and Relevance Neuroblastoma patients harboring germline P-LP variants in CPGs have worse overall survival and BARD1 is an important predisposition gene affected by both common and rare pathogenic variation. Germline sequencing should be performed for all neuroblastoma patients at diagnosis to inform genetic counseling and support future longitudinal and mechanistic studies. Patients with a germline P-LP variant should be closely monitored, regardless of risk group assignment.
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Affiliation(s)
- Jung Kim
- Clinical Genetics Branch, Division of Cancer Epidemiology and
Genetics, National Cancer Institute, NIH, Rockville, MD, USA
| | - Zalman Vaksman
- Department of Biomedical and Health Informatics,
Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Division of Oncology and Center for Childhood Cancer Research,
Children’s Hospital of Philadelphia, Philadelphia, PA, USA
| | - Laura E. Egolf
- Division of Oncology and Center for Childhood Cancer Research,
Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Cell and Molecular Biology Graduate Group, Perelman School of
Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Rebecca Kaufman
- Division of Oncology and Center for Childhood Cancer Research,
Children’s Hospital of Philadelphia, Philadelphia, PA, USA
| | - J. Perry Evans
- Department of Biomedical and Health Informatics,
Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Division of Oncology and Center for Childhood Cancer Research,
Children’s Hospital of Philadelphia, Philadelphia, PA, USA
| | - Karina L. Conkrite
- Division of Oncology and Center for Childhood Cancer Research,
Children’s Hospital of Philadelphia, Philadelphia, PA, USA
| | - Arnavaz Danesh
- Princess Margaret Cancer Centre, University Health Network,
Toronto, Ontario, ON, M5S Canada
| | - Gonzalo Lopez
- Division of Oncology and Center for Childhood Cancer Research,
Children’s Hospital of Philadelphia, Philadelphia, PA, USA
| | - Michael P. Randall
- Division of Oncology and Center for Childhood Cancer Research,
Children’s Hospital of Philadelphia, Philadelphia, PA, USA
| | - Maiah H. Dent
- Division of Oncology and Center for Childhood Cancer Research,
Children’s Hospital of Philadelphia, Philadelphia, PA, USA
| | - Lance M. Farra
- Division of Oncology and Center for Childhood Cancer Research,
Children’s Hospital of Philadelphia, Philadelphia, PA, USA
| | - Neil Menghani
- Division of Oncology and Center for Childhood Cancer Research,
Children’s Hospital of Philadelphia, Philadelphia, PA, USA
| | - Malwina Dymek
- Division of Oncology and Center for Childhood Cancer Research,
Children’s Hospital of Philadelphia, Philadelphia, PA, USA
| | - Heena Desai
- Division of Hematology/Oncology, Department of Medicine, Perelman
School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Abramson Family Cancer Research Institute, Perelman School of
Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Ryan Hausler
- Division of Hematology/Oncology, Department of Medicine, Perelman
School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Abramson Family Cancer Research Institute, Perelman School of
Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Penn Medicine BioBank
- Penn Medicine BioBank, Department of Medicine, Perelman School of
Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | | | | | | | | | - Hakon Hakonarson
- Center for Applied Genomics, Children’s Hospital of
Philadelphia, Philadelphia, PA 19104, USA
- Department of Pediatrics, Perelman School of Medicine,
University of Pennsylvania, Philadelphia, PA, USA
| | - Kara N. Maxwell
- Division of Hematology/Oncology, Department of Medicine, Perelman
School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Abramson Family Cancer Research Institute, Perelman School of
Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Kristina A. Cole
- Division of Oncology and Center for Childhood Cancer Research,
Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Pediatrics, Perelman School of Medicine,
University of Pennsylvania, Philadelphia, PA, USA
| | - Trevor J. Pugh
- Princess Margaret Cancer Centre, University Health Network,
Toronto, Ontario, ON, M5S Canada
- Department of Medical Biophysics, University of Toronto,
Toronto, Ontario, ON, M5S Canada
| | - Kristopher R. Bosse
- Division of Oncology and Center for Childhood Cancer Research,
Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Abramson Family Cancer Research Institute, Perelman School of
Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Pediatrics, Perelman School of Medicine,
University of Pennsylvania, Philadelphia, PA, USA
| | - Javed Khan
- Oncogenomics Section, Genetics Branch, Center for Cancer
Research, National Cancer Institute, NIH, Bethesda, MD, USA
| | - Jun S. Wei
- Oncogenomics Section, Genetics Branch, Center for Cancer
Research, National Cancer Institute, NIH, Bethesda, MD, USA
| | - John M. Maris
- Division of Oncology and Center for Childhood Cancer Research,
Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Abramson Family Cancer Research Institute, Perelman School of
Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Pediatrics, Perelman School of Medicine,
University of Pennsylvania, Philadelphia, PA, USA
| | - Douglas R. Stewart
- Clinical Genetics Branch, Division of Cancer Epidemiology and
Genetics, National Cancer Institute, NIH, Rockville, MD, USA
| | - Sharon J. Diskin
- Department of Biomedical and Health Informatics,
Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Division of Oncology and Center for Childhood Cancer Research,
Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Abramson Family Cancer Research Institute, Perelman School of
Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Pediatrics, Perelman School of Medicine,
University of Pennsylvania, Philadelphia, PA, USA
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16
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Su C, Xu Z, Shan X, Cai B, Zhao H, Zhang J. Cell-type-specific co-expression inference from single cell RNA-sequencing data. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2022:2022.12.13.520181. [PMID: 36561173 DOI: 10.1101/2022.04.07.487499] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/26/2023]
Abstract
The inference of gene co-expressions from microarray and RNA-sequencing data has led to rich insights on biological processes and disease mechanisms. However, the bulk samples analyzed in most studies are a mixture of different cell types. As a result, the inferred co-expressions are confounded by varying cell type compositions across samples and only offer an aggregated view of gene regulations that may be distinct across different cell types. The advancement of single cell RNA-sequencing (scRNA-seq) technology has enabled the direct inference of co-expressions in specific cell types, facilitating our understanding of cell-type-specific biological functions. However, the high sequencing depth variations and measurement errors in scRNA-seq data present significant challenges in inferring cell-type-specific gene co-expressions, and these issues have not been adequately addressed in the existing methods. We propose a statistical approach, CS-CORE, for estimating and testing cell-type-specific co-expressions, built on a general expression-measurement model that explicitly accounts for sequencing depth variations and measurement errors in the observed single cell data. Systematic evaluations show that most existing methods suffer from inflated false positives and biased co-expression estimates and clustering analysis, whereas CS-CORE has appropriate false positive control, unbiased co-expression estimates, good statistical power and satisfactory performance in downstream co-expression analysis. When applied to analyze scRNA-seq data from postmortem brain samples from Alzheimer’s disease patients and controls and blood samples from COVID-19 patients and controls, CS-CORE identified cell-type-specific co-expressions and differential co-expressions that were more reproducible and/or more enriched for relevant biological pathways than those inferred from other methods.
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Lai PMR, Ryu JY, Park SC, Gross BA, Dickinson LD, Dagen S, Aziz-Sultan MA, Boulos AS, Barrow DL, Batjer HH, Blackburn S, Chang EF, Chen PR, Colby GP, Cosgrove GR, David CA, Day AL, Frerichs KU, Niemela M, Ojemann SG, Patel NJ, Shi X, Valle-Giler EP, Wang AC, Welch BG, Zusman EE, Weiss ST, Du R. Somatic Variants in SVIL in Cerebral Aneurysms. Neurol Genet 2022; 8:e200040. [PMID: 36475054 PMCID: PMC9720733 DOI: 10.1212/nxg.0000000000200040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Accepted: 09/12/2022] [Indexed: 11/30/2022]
Abstract
Background and ObjectivesWhile somatic mutations have been well-studied in cancer, their roles in other complex traits are much less understood. Our goal is to identify somatic variants that may contribute to the formation of saccular cerebral aneurysms.MethodsWe performed whole-exome sequencing on aneurysm tissues and paired peripheral blood. RNA sequencing and the CRISPR/Cas9 system were then used to perform functional validation of our results.ResultsSomatic variants involved in supervillin (SVIL) or its regulation were found in 17% of aneurysm tissues. In the presence of a mutation in theSVILgene, the expression level of SVIL was downregulated in the aneurysm tissue compared with normal control vessels. Downstream signaling pathways that were induced by knockdown ofSVILvia the CRISPR/Cas9 system in vascular smooth muscle cells (vSMCs) were determined by evaluating changes in gene expression and protein kinase phosphorylation. We found thatSVILregulated the phenotypic modulation of vSMCs to the synthetic phenotype via Krüppel-like factor 4 and platelet-derived growth factor and affected cell migration of vSMCs via the RhoA/ROCK pathway.DiscussionWe propose that somatic variants form a novel mechanism for the development of cerebral aneurysms. Specifically, somatic variants inSVILresult in the phenotypic modulation of vSMCs, which increases the susceptibility to aneurysm formation. This finding suggests a new avenue for the therapeutic intervention and prevention of cerebral aneurysms.
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Affiliation(s)
- Pui Man Rosalind Lai
- Department of Neurosurgery (P.M.R.L., J.-Y.R., S.-C.P., S.D., M.A.A.-S., G.R.C., K.U.F., N.J.P., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Artificial Intelligence and Robotics Laboratory (S.-C.P.), Myongji Hospital, Goyang, Korea; Department of Neurosurgery (B.A.G.), University of Pittsburgh, PA; Department of Neurosurgery (L.D.D., E.E.Z.), Sutter Health, Danville, CA; Department of Neurosurgery (A.S.B.), Albany Medical Center, NY; Department of Neurosurgery (D.L.B.), Emory University, Atlanta, GA; Department of Neurosurgery (H.H.B., B.G.W.), University of Texas Southwestern, Dallas, TX; Department of Neurosurgery (S.B., P.R.C., A.L.D.), University of Texas Health Science Center, Houston; Department of Neurosurgery (E.F.C.), University of California San Francisco, CA; Department of Neurosurgery (G.P.C., A.C.W.), University of California Los Angeles; Department of Neurosurgery (C.A.D.), Lahey Hospital and Medical Center, Burlington, MA; Department of Neurosurgery (M.N.), Helsinki University and Helsinki University Hospital, Finland; Department of Neurosurgery (S.G.O.), University of Colorado, Denver; Department of Neurosurgery (X.S.), Affiliated Fuxing Hospital, Capital Medical University, Beijing, China; Department of Neurosurgery (E.P.V.-G.), Ochsner Medical Center, New Orleans, LA; and Channing Division of Network Medicine (S.T.W., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Jee-Yeon Ryu
- Department of Neurosurgery (P.M.R.L., J.-Y.R., S.-C.P., S.D., M.A.A.-S., G.R.C., K.U.F., N.J.P., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Artificial Intelligence and Robotics Laboratory (S.-C.P.), Myongji Hospital, Goyang, Korea; Department of Neurosurgery (B.A.G.), University of Pittsburgh, PA; Department of Neurosurgery (L.D.D., E.E.Z.), Sutter Health, Danville, CA; Department of Neurosurgery (A.S.B.), Albany Medical Center, NY; Department of Neurosurgery (D.L.B.), Emory University, Atlanta, GA; Department of Neurosurgery (H.H.B., B.G.W.), University of Texas Southwestern, Dallas, TX; Department of Neurosurgery (S.B., P.R.C., A.L.D.), University of Texas Health Science Center, Houston; Department of Neurosurgery (E.F.C.), University of California San Francisco, CA; Department of Neurosurgery (G.P.C., A.C.W.), University of California Los Angeles; Department of Neurosurgery (C.A.D.), Lahey Hospital and Medical Center, Burlington, MA; Department of Neurosurgery (M.N.), Helsinki University and Helsinki University Hospital, Finland; Department of Neurosurgery (S.G.O.), University of Colorado, Denver; Department of Neurosurgery (X.S.), Affiliated Fuxing Hospital, Capital Medical University, Beijing, China; Department of Neurosurgery (E.P.V.-G.), Ochsner Medical Center, New Orleans, LA; and Channing Division of Network Medicine (S.T.W., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Sang-Cheol Park
- Department of Neurosurgery (P.M.R.L., J.-Y.R., S.-C.P., S.D., M.A.A.-S., G.R.C., K.U.F., N.J.P., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Artificial Intelligence and Robotics Laboratory (S.-C.P.), Myongji Hospital, Goyang, Korea; Department of Neurosurgery (B.A.G.), University of Pittsburgh, PA; Department of Neurosurgery (L.D.D., E.E.Z.), Sutter Health, Danville, CA; Department of Neurosurgery (A.S.B.), Albany Medical Center, NY; Department of Neurosurgery (D.L.B.), Emory University, Atlanta, GA; Department of Neurosurgery (H.H.B., B.G.W.), University of Texas Southwestern, Dallas, TX; Department of Neurosurgery (S.B., P.R.C., A.L.D.), University of Texas Health Science Center, Houston; Department of Neurosurgery (E.F.C.), University of California San Francisco, CA; Department of Neurosurgery (G.P.C., A.C.W.), University of California Los Angeles; Department of Neurosurgery (C.A.D.), Lahey Hospital and Medical Center, Burlington, MA; Department of Neurosurgery (M.N.), Helsinki University and Helsinki University Hospital, Finland; Department of Neurosurgery (S.G.O.), University of Colorado, Denver; Department of Neurosurgery (X.S.), Affiliated Fuxing Hospital, Capital Medical University, Beijing, China; Department of Neurosurgery (E.P.V.-G.), Ochsner Medical Center, New Orleans, LA; and Channing Division of Network Medicine (S.T.W., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Bradley A Gross
- Department of Neurosurgery (P.M.R.L., J.-Y.R., S.-C.P., S.D., M.A.A.-S., G.R.C., K.U.F., N.J.P., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Artificial Intelligence and Robotics Laboratory (S.-C.P.), Myongji Hospital, Goyang, Korea; Department of Neurosurgery (B.A.G.), University of Pittsburgh, PA; Department of Neurosurgery (L.D.D., E.E.Z.), Sutter Health, Danville, CA; Department of Neurosurgery (A.S.B.), Albany Medical Center, NY; Department of Neurosurgery (D.L.B.), Emory University, Atlanta, GA; Department of Neurosurgery (H.H.B., B.G.W.), University of Texas Southwestern, Dallas, TX; Department of Neurosurgery (S.B., P.R.C., A.L.D.), University of Texas Health Science Center, Houston; Department of Neurosurgery (E.F.C.), University of California San Francisco, CA; Department of Neurosurgery (G.P.C., A.C.W.), University of California Los Angeles; Department of Neurosurgery (C.A.D.), Lahey Hospital and Medical Center, Burlington, MA; Department of Neurosurgery (M.N.), Helsinki University and Helsinki University Hospital, Finland; Department of Neurosurgery (S.G.O.), University of Colorado, Denver; Department of Neurosurgery (X.S.), Affiliated Fuxing Hospital, Capital Medical University, Beijing, China; Department of Neurosurgery (E.P.V.-G.), Ochsner Medical Center, New Orleans, LA; and Channing Division of Network Medicine (S.T.W., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Lawrence D Dickinson
- Department of Neurosurgery (P.M.R.L., J.-Y.R., S.-C.P., S.D., M.A.A.-S., G.R.C., K.U.F., N.J.P., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Artificial Intelligence and Robotics Laboratory (S.-C.P.), Myongji Hospital, Goyang, Korea; Department of Neurosurgery (B.A.G.), University of Pittsburgh, PA; Department of Neurosurgery (L.D.D., E.E.Z.), Sutter Health, Danville, CA; Department of Neurosurgery (A.S.B.), Albany Medical Center, NY; Department of Neurosurgery (D.L.B.), Emory University, Atlanta, GA; Department of Neurosurgery (H.H.B., B.G.W.), University of Texas Southwestern, Dallas, TX; Department of Neurosurgery (S.B., P.R.C., A.L.D.), University of Texas Health Science Center, Houston; Department of Neurosurgery (E.F.C.), University of California San Francisco, CA; Department of Neurosurgery (G.P.C., A.C.W.), University of California Los Angeles; Department of Neurosurgery (C.A.D.), Lahey Hospital and Medical Center, Burlington, MA; Department of Neurosurgery (M.N.), Helsinki University and Helsinki University Hospital, Finland; Department of Neurosurgery (S.G.O.), University of Colorado, Denver; Department of Neurosurgery (X.S.), Affiliated Fuxing Hospital, Capital Medical University, Beijing, China; Department of Neurosurgery (E.P.V.-G.), Ochsner Medical Center, New Orleans, LA; and Channing Division of Network Medicine (S.T.W., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Sarajune Dagen
- Department of Neurosurgery (P.M.R.L., J.-Y.R., S.-C.P., S.D., M.A.A.-S., G.R.C., K.U.F., N.J.P., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Artificial Intelligence and Robotics Laboratory (S.-C.P.), Myongji Hospital, Goyang, Korea; Department of Neurosurgery (B.A.G.), University of Pittsburgh, PA; Department of Neurosurgery (L.D.D., E.E.Z.), Sutter Health, Danville, CA; Department of Neurosurgery (A.S.B.), Albany Medical Center, NY; Department of Neurosurgery (D.L.B.), Emory University, Atlanta, GA; Department of Neurosurgery (H.H.B., B.G.W.), University of Texas Southwestern, Dallas, TX; Department of Neurosurgery (S.B., P.R.C., A.L.D.), University of Texas Health Science Center, Houston; Department of Neurosurgery (E.F.C.), University of California San Francisco, CA; Department of Neurosurgery (G.P.C., A.C.W.), University of California Los Angeles; Department of Neurosurgery (C.A.D.), Lahey Hospital and Medical Center, Burlington, MA; Department of Neurosurgery (M.N.), Helsinki University and Helsinki University Hospital, Finland; Department of Neurosurgery (S.G.O.), University of Colorado, Denver; Department of Neurosurgery (X.S.), Affiliated Fuxing Hospital, Capital Medical University, Beijing, China; Department of Neurosurgery (E.P.V.-G.), Ochsner Medical Center, New Orleans, LA; and Channing Division of Network Medicine (S.T.W., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Mohammad Ali Aziz-Sultan
- Department of Neurosurgery (P.M.R.L., J.-Y.R., S.-C.P., S.D., M.A.A.-S., G.R.C., K.U.F., N.J.P., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Artificial Intelligence and Robotics Laboratory (S.-C.P.), Myongji Hospital, Goyang, Korea; Department of Neurosurgery (B.A.G.), University of Pittsburgh, PA; Department of Neurosurgery (L.D.D., E.E.Z.), Sutter Health, Danville, CA; Department of Neurosurgery (A.S.B.), Albany Medical Center, NY; Department of Neurosurgery (D.L.B.), Emory University, Atlanta, GA; Department of Neurosurgery (H.H.B., B.G.W.), University of Texas Southwestern, Dallas, TX; Department of Neurosurgery (S.B., P.R.C., A.L.D.), University of Texas Health Science Center, Houston; Department of Neurosurgery (E.F.C.), University of California San Francisco, CA; Department of Neurosurgery (G.P.C., A.C.W.), University of California Los Angeles; Department of Neurosurgery (C.A.D.), Lahey Hospital and Medical Center, Burlington, MA; Department of Neurosurgery (M.N.), Helsinki University and Helsinki University Hospital, Finland; Department of Neurosurgery (S.G.O.), University of Colorado, Denver; Department of Neurosurgery (X.S.), Affiliated Fuxing Hospital, Capital Medical University, Beijing, China; Department of Neurosurgery (E.P.V.-G.), Ochsner Medical Center, New Orleans, LA; and Channing Division of Network Medicine (S.T.W., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Alan S Boulos
- Department of Neurosurgery (P.M.R.L., J.-Y.R., S.-C.P., S.D., M.A.A.-S., G.R.C., K.U.F., N.J.P., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Artificial Intelligence and Robotics Laboratory (S.-C.P.), Myongji Hospital, Goyang, Korea; Department of Neurosurgery (B.A.G.), University of Pittsburgh, PA; Department of Neurosurgery (L.D.D., E.E.Z.), Sutter Health, Danville, CA; Department of Neurosurgery (A.S.B.), Albany Medical Center, NY; Department of Neurosurgery (D.L.B.), Emory University, Atlanta, GA; Department of Neurosurgery (H.H.B., B.G.W.), University of Texas Southwestern, Dallas, TX; Department of Neurosurgery (S.B., P.R.C., A.L.D.), University of Texas Health Science Center, Houston; Department of Neurosurgery (E.F.C.), University of California San Francisco, CA; Department of Neurosurgery (G.P.C., A.C.W.), University of California Los Angeles; Department of Neurosurgery (C.A.D.), Lahey Hospital and Medical Center, Burlington, MA; Department of Neurosurgery (M.N.), Helsinki University and Helsinki University Hospital, Finland; Department of Neurosurgery (S.G.O.), University of Colorado, Denver; Department of Neurosurgery (X.S.), Affiliated Fuxing Hospital, Capital Medical University, Beijing, China; Department of Neurosurgery (E.P.V.-G.), Ochsner Medical Center, New Orleans, LA; and Channing Division of Network Medicine (S.T.W., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Daniel L Barrow
- Department of Neurosurgery (P.M.R.L., J.-Y.R., S.-C.P., S.D., M.A.A.-S., G.R.C., K.U.F., N.J.P., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Artificial Intelligence and Robotics Laboratory (S.-C.P.), Myongji Hospital, Goyang, Korea; Department of Neurosurgery (B.A.G.), University of Pittsburgh, PA; Department of Neurosurgery (L.D.D., E.E.Z.), Sutter Health, Danville, CA; Department of Neurosurgery (A.S.B.), Albany Medical Center, NY; Department of Neurosurgery (D.L.B.), Emory University, Atlanta, GA; Department of Neurosurgery (H.H.B., B.G.W.), University of Texas Southwestern, Dallas, TX; Department of Neurosurgery (S.B., P.R.C., A.L.D.), University of Texas Health Science Center, Houston; Department of Neurosurgery (E.F.C.), University of California San Francisco, CA; Department of Neurosurgery (G.P.C., A.C.W.), University of California Los Angeles; Department of Neurosurgery (C.A.D.), Lahey Hospital and Medical Center, Burlington, MA; Department of Neurosurgery (M.N.), Helsinki University and Helsinki University Hospital, Finland; Department of Neurosurgery (S.G.O.), University of Colorado, Denver; Department of Neurosurgery (X.S.), Affiliated Fuxing Hospital, Capital Medical University, Beijing, China; Department of Neurosurgery (E.P.V.-G.), Ochsner Medical Center, New Orleans, LA; and Channing Division of Network Medicine (S.T.W., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - H Hunt Batjer
- Department of Neurosurgery (P.M.R.L., J.-Y.R., S.-C.P., S.D., M.A.A.-S., G.R.C., K.U.F., N.J.P., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Artificial Intelligence and Robotics Laboratory (S.-C.P.), Myongji Hospital, Goyang, Korea; Department of Neurosurgery (B.A.G.), University of Pittsburgh, PA; Department of Neurosurgery (L.D.D., E.E.Z.), Sutter Health, Danville, CA; Department of Neurosurgery (A.S.B.), Albany Medical Center, NY; Department of Neurosurgery (D.L.B.), Emory University, Atlanta, GA; Department of Neurosurgery (H.H.B., B.G.W.), University of Texas Southwestern, Dallas, TX; Department of Neurosurgery (S.B., P.R.C., A.L.D.), University of Texas Health Science Center, Houston; Department of Neurosurgery (E.F.C.), University of California San Francisco, CA; Department of Neurosurgery (G.P.C., A.C.W.), University of California Los Angeles; Department of Neurosurgery (C.A.D.), Lahey Hospital and Medical Center, Burlington, MA; Department of Neurosurgery (M.N.), Helsinki University and Helsinki University Hospital, Finland; Department of Neurosurgery (S.G.O.), University of Colorado, Denver; Department of Neurosurgery (X.S.), Affiliated Fuxing Hospital, Capital Medical University, Beijing, China; Department of Neurosurgery (E.P.V.-G.), Ochsner Medical Center, New Orleans, LA; and Channing Division of Network Medicine (S.T.W., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Spiros Blackburn
- Department of Neurosurgery (P.M.R.L., J.-Y.R., S.-C.P., S.D., M.A.A.-S., G.R.C., K.U.F., N.J.P., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Artificial Intelligence and Robotics Laboratory (S.-C.P.), Myongji Hospital, Goyang, Korea; Department of Neurosurgery (B.A.G.), University of Pittsburgh, PA; Department of Neurosurgery (L.D.D., E.E.Z.), Sutter Health, Danville, CA; Department of Neurosurgery (A.S.B.), Albany Medical Center, NY; Department of Neurosurgery (D.L.B.), Emory University, Atlanta, GA; Department of Neurosurgery (H.H.B., B.G.W.), University of Texas Southwestern, Dallas, TX; Department of Neurosurgery (S.B., P.R.C., A.L.D.), University of Texas Health Science Center, Houston; Department of Neurosurgery (E.F.C.), University of California San Francisco, CA; Department of Neurosurgery (G.P.C., A.C.W.), University of California Los Angeles; Department of Neurosurgery (C.A.D.), Lahey Hospital and Medical Center, Burlington, MA; Department of Neurosurgery (M.N.), Helsinki University and Helsinki University Hospital, Finland; Department of Neurosurgery (S.G.O.), University of Colorado, Denver; Department of Neurosurgery (X.S.), Affiliated Fuxing Hospital, Capital Medical University, Beijing, China; Department of Neurosurgery (E.P.V.-G.), Ochsner Medical Center, New Orleans, LA; and Channing Division of Network Medicine (S.T.W., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Edward F Chang
- Department of Neurosurgery (P.M.R.L., J.-Y.R., S.-C.P., S.D., M.A.A.-S., G.R.C., K.U.F., N.J.P., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Artificial Intelligence and Robotics Laboratory (S.-C.P.), Myongji Hospital, Goyang, Korea; Department of Neurosurgery (B.A.G.), University of Pittsburgh, PA; Department of Neurosurgery (L.D.D., E.E.Z.), Sutter Health, Danville, CA; Department of Neurosurgery (A.S.B.), Albany Medical Center, NY; Department of Neurosurgery (D.L.B.), Emory University, Atlanta, GA; Department of Neurosurgery (H.H.B., B.G.W.), University of Texas Southwestern, Dallas, TX; Department of Neurosurgery (S.B., P.R.C., A.L.D.), University of Texas Health Science Center, Houston; Department of Neurosurgery (E.F.C.), University of California San Francisco, CA; Department of Neurosurgery (G.P.C., A.C.W.), University of California Los Angeles; Department of Neurosurgery (C.A.D.), Lahey Hospital and Medical Center, Burlington, MA; Department of Neurosurgery (M.N.), Helsinki University and Helsinki University Hospital, Finland; Department of Neurosurgery (S.G.O.), University of Colorado, Denver; Department of Neurosurgery (X.S.), Affiliated Fuxing Hospital, Capital Medical University, Beijing, China; Department of Neurosurgery (E.P.V.-G.), Ochsner Medical Center, New Orleans, LA; and Channing Division of Network Medicine (S.T.W., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - P Roc Chen
- Department of Neurosurgery (P.M.R.L., J.-Y.R., S.-C.P., S.D., M.A.A.-S., G.R.C., K.U.F., N.J.P., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Artificial Intelligence and Robotics Laboratory (S.-C.P.), Myongji Hospital, Goyang, Korea; Department of Neurosurgery (B.A.G.), University of Pittsburgh, PA; Department of Neurosurgery (L.D.D., E.E.Z.), Sutter Health, Danville, CA; Department of Neurosurgery (A.S.B.), Albany Medical Center, NY; Department of Neurosurgery (D.L.B.), Emory University, Atlanta, GA; Department of Neurosurgery (H.H.B., B.G.W.), University of Texas Southwestern, Dallas, TX; Department of Neurosurgery (S.B., P.R.C., A.L.D.), University of Texas Health Science Center, Houston; Department of Neurosurgery (E.F.C.), University of California San Francisco, CA; Department of Neurosurgery (G.P.C., A.C.W.), University of California Los Angeles; Department of Neurosurgery (C.A.D.), Lahey Hospital and Medical Center, Burlington, MA; Department of Neurosurgery (M.N.), Helsinki University and Helsinki University Hospital, Finland; Department of Neurosurgery (S.G.O.), University of Colorado, Denver; Department of Neurosurgery (X.S.), Affiliated Fuxing Hospital, Capital Medical University, Beijing, China; Department of Neurosurgery (E.P.V.-G.), Ochsner Medical Center, New Orleans, LA; and Channing Division of Network Medicine (S.T.W., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Geoffrey P Colby
- Department of Neurosurgery (P.M.R.L., J.-Y.R., S.-C.P., S.D., M.A.A.-S., G.R.C., K.U.F., N.J.P., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Artificial Intelligence and Robotics Laboratory (S.-C.P.), Myongji Hospital, Goyang, Korea; Department of Neurosurgery (B.A.G.), University of Pittsburgh, PA; Department of Neurosurgery (L.D.D., E.E.Z.), Sutter Health, Danville, CA; Department of Neurosurgery (A.S.B.), Albany Medical Center, NY; Department of Neurosurgery (D.L.B.), Emory University, Atlanta, GA; Department of Neurosurgery (H.H.B., B.G.W.), University of Texas Southwestern, Dallas, TX; Department of Neurosurgery (S.B., P.R.C., A.L.D.), University of Texas Health Science Center, Houston; Department of Neurosurgery (E.F.C.), University of California San Francisco, CA; Department of Neurosurgery (G.P.C., A.C.W.), University of California Los Angeles; Department of Neurosurgery (C.A.D.), Lahey Hospital and Medical Center, Burlington, MA; Department of Neurosurgery (M.N.), Helsinki University and Helsinki University Hospital, Finland; Department of Neurosurgery (S.G.O.), University of Colorado, Denver; Department of Neurosurgery (X.S.), Affiliated Fuxing Hospital, Capital Medical University, Beijing, China; Department of Neurosurgery (E.P.V.-G.), Ochsner Medical Center, New Orleans, LA; and Channing Division of Network Medicine (S.T.W., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Garth Rees Cosgrove
- Department of Neurosurgery (P.M.R.L., J.-Y.R., S.-C.P., S.D., M.A.A.-S., G.R.C., K.U.F., N.J.P., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Artificial Intelligence and Robotics Laboratory (S.-C.P.), Myongji Hospital, Goyang, Korea; Department of Neurosurgery (B.A.G.), University of Pittsburgh, PA; Department of Neurosurgery (L.D.D., E.E.Z.), Sutter Health, Danville, CA; Department of Neurosurgery (A.S.B.), Albany Medical Center, NY; Department of Neurosurgery (D.L.B.), Emory University, Atlanta, GA; Department of Neurosurgery (H.H.B., B.G.W.), University of Texas Southwestern, Dallas, TX; Department of Neurosurgery (S.B., P.R.C., A.L.D.), University of Texas Health Science Center, Houston; Department of Neurosurgery (E.F.C.), University of California San Francisco, CA; Department of Neurosurgery (G.P.C., A.C.W.), University of California Los Angeles; Department of Neurosurgery (C.A.D.), Lahey Hospital and Medical Center, Burlington, MA; Department of Neurosurgery (M.N.), Helsinki University and Helsinki University Hospital, Finland; Department of Neurosurgery (S.G.O.), University of Colorado, Denver; Department of Neurosurgery (X.S.), Affiliated Fuxing Hospital, Capital Medical University, Beijing, China; Department of Neurosurgery (E.P.V.-G.), Ochsner Medical Center, New Orleans, LA; and Channing Division of Network Medicine (S.T.W., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Carlos A David
- Department of Neurosurgery (P.M.R.L., J.-Y.R., S.-C.P., S.D., M.A.A.-S., G.R.C., K.U.F., N.J.P., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Artificial Intelligence and Robotics Laboratory (S.-C.P.), Myongji Hospital, Goyang, Korea; Department of Neurosurgery (B.A.G.), University of Pittsburgh, PA; Department of Neurosurgery (L.D.D., E.E.Z.), Sutter Health, Danville, CA; Department of Neurosurgery (A.S.B.), Albany Medical Center, NY; Department of Neurosurgery (D.L.B.), Emory University, Atlanta, GA; Department of Neurosurgery (H.H.B., B.G.W.), University of Texas Southwestern, Dallas, TX; Department of Neurosurgery (S.B., P.R.C., A.L.D.), University of Texas Health Science Center, Houston; Department of Neurosurgery (E.F.C.), University of California San Francisco, CA; Department of Neurosurgery (G.P.C., A.C.W.), University of California Los Angeles; Department of Neurosurgery (C.A.D.), Lahey Hospital and Medical Center, Burlington, MA; Department of Neurosurgery (M.N.), Helsinki University and Helsinki University Hospital, Finland; Department of Neurosurgery (S.G.O.), University of Colorado, Denver; Department of Neurosurgery (X.S.), Affiliated Fuxing Hospital, Capital Medical University, Beijing, China; Department of Neurosurgery (E.P.V.-G.), Ochsner Medical Center, New Orleans, LA; and Channing Division of Network Medicine (S.T.W., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Arthur L Day
- Department of Neurosurgery (P.M.R.L., J.-Y.R., S.-C.P., S.D., M.A.A.-S., G.R.C., K.U.F., N.J.P., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Artificial Intelligence and Robotics Laboratory (S.-C.P.), Myongji Hospital, Goyang, Korea; Department of Neurosurgery (B.A.G.), University of Pittsburgh, PA; Department of Neurosurgery (L.D.D., E.E.Z.), Sutter Health, Danville, CA; Department of Neurosurgery (A.S.B.), Albany Medical Center, NY; Department of Neurosurgery (D.L.B.), Emory University, Atlanta, GA; Department of Neurosurgery (H.H.B., B.G.W.), University of Texas Southwestern, Dallas, TX; Department of Neurosurgery (S.B., P.R.C., A.L.D.), University of Texas Health Science Center, Houston; Department of Neurosurgery (E.F.C.), University of California San Francisco, CA; Department of Neurosurgery (G.P.C., A.C.W.), University of California Los Angeles; Department of Neurosurgery (C.A.D.), Lahey Hospital and Medical Center, Burlington, MA; Department of Neurosurgery (M.N.), Helsinki University and Helsinki University Hospital, Finland; Department of Neurosurgery (S.G.O.), University of Colorado, Denver; Department of Neurosurgery (X.S.), Affiliated Fuxing Hospital, Capital Medical University, Beijing, China; Department of Neurosurgery (E.P.V.-G.), Ochsner Medical Center, New Orleans, LA; and Channing Division of Network Medicine (S.T.W., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Kai U Frerichs
- Department of Neurosurgery (P.M.R.L., J.-Y.R., S.-C.P., S.D., M.A.A.-S., G.R.C., K.U.F., N.J.P., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Artificial Intelligence and Robotics Laboratory (S.-C.P.), Myongji Hospital, Goyang, Korea; Department of Neurosurgery (B.A.G.), University of Pittsburgh, PA; Department of Neurosurgery (L.D.D., E.E.Z.), Sutter Health, Danville, CA; Department of Neurosurgery (A.S.B.), Albany Medical Center, NY; Department of Neurosurgery (D.L.B.), Emory University, Atlanta, GA; Department of Neurosurgery (H.H.B., B.G.W.), University of Texas Southwestern, Dallas, TX; Department of Neurosurgery (S.B., P.R.C., A.L.D.), University of Texas Health Science Center, Houston; Department of Neurosurgery (E.F.C.), University of California San Francisco, CA; Department of Neurosurgery (G.P.C., A.C.W.), University of California Los Angeles; Department of Neurosurgery (C.A.D.), Lahey Hospital and Medical Center, Burlington, MA; Department of Neurosurgery (M.N.), Helsinki University and Helsinki University Hospital, Finland; Department of Neurosurgery (S.G.O.), University of Colorado, Denver; Department of Neurosurgery (X.S.), Affiliated Fuxing Hospital, Capital Medical University, Beijing, China; Department of Neurosurgery (E.P.V.-G.), Ochsner Medical Center, New Orleans, LA; and Channing Division of Network Medicine (S.T.W., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Mika Niemela
- Department of Neurosurgery (P.M.R.L., J.-Y.R., S.-C.P., S.D., M.A.A.-S., G.R.C., K.U.F., N.J.P., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Artificial Intelligence and Robotics Laboratory (S.-C.P.), Myongji Hospital, Goyang, Korea; Department of Neurosurgery (B.A.G.), University of Pittsburgh, PA; Department of Neurosurgery (L.D.D., E.E.Z.), Sutter Health, Danville, CA; Department of Neurosurgery (A.S.B.), Albany Medical Center, NY; Department of Neurosurgery (D.L.B.), Emory University, Atlanta, GA; Department of Neurosurgery (H.H.B., B.G.W.), University of Texas Southwestern, Dallas, TX; Department of Neurosurgery (S.B., P.R.C., A.L.D.), University of Texas Health Science Center, Houston; Department of Neurosurgery (E.F.C.), University of California San Francisco, CA; Department of Neurosurgery (G.P.C., A.C.W.), University of California Los Angeles; Department of Neurosurgery (C.A.D.), Lahey Hospital and Medical Center, Burlington, MA; Department of Neurosurgery (M.N.), Helsinki University and Helsinki University Hospital, Finland; Department of Neurosurgery (S.G.O.), University of Colorado, Denver; Department of Neurosurgery (X.S.), Affiliated Fuxing Hospital, Capital Medical University, Beijing, China; Department of Neurosurgery (E.P.V.-G.), Ochsner Medical Center, New Orleans, LA; and Channing Division of Network Medicine (S.T.W., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Steven G Ojemann
- Department of Neurosurgery (P.M.R.L., J.-Y.R., S.-C.P., S.D., M.A.A.-S., G.R.C., K.U.F., N.J.P., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Artificial Intelligence and Robotics Laboratory (S.-C.P.), Myongji Hospital, Goyang, Korea; Department of Neurosurgery (B.A.G.), University of Pittsburgh, PA; Department of Neurosurgery (L.D.D., E.E.Z.), Sutter Health, Danville, CA; Department of Neurosurgery (A.S.B.), Albany Medical Center, NY; Department of Neurosurgery (D.L.B.), Emory University, Atlanta, GA; Department of Neurosurgery (H.H.B., B.G.W.), University of Texas Southwestern, Dallas, TX; Department of Neurosurgery (S.B., P.R.C., A.L.D.), University of Texas Health Science Center, Houston; Department of Neurosurgery (E.F.C.), University of California San Francisco, CA; Department of Neurosurgery (G.P.C., A.C.W.), University of California Los Angeles; Department of Neurosurgery (C.A.D.), Lahey Hospital and Medical Center, Burlington, MA; Department of Neurosurgery (M.N.), Helsinki University and Helsinki University Hospital, Finland; Department of Neurosurgery (S.G.O.), University of Colorado, Denver; Department of Neurosurgery (X.S.), Affiliated Fuxing Hospital, Capital Medical University, Beijing, China; Department of Neurosurgery (E.P.V.-G.), Ochsner Medical Center, New Orleans, LA; and Channing Division of Network Medicine (S.T.W., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Nirav J Patel
- Department of Neurosurgery (P.M.R.L., J.-Y.R., S.-C.P., S.D., M.A.A.-S., G.R.C., K.U.F., N.J.P., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Artificial Intelligence and Robotics Laboratory (S.-C.P.), Myongji Hospital, Goyang, Korea; Department of Neurosurgery (B.A.G.), University of Pittsburgh, PA; Department of Neurosurgery (L.D.D., E.E.Z.), Sutter Health, Danville, CA; Department of Neurosurgery (A.S.B.), Albany Medical Center, NY; Department of Neurosurgery (D.L.B.), Emory University, Atlanta, GA; Department of Neurosurgery (H.H.B., B.G.W.), University of Texas Southwestern, Dallas, TX; Department of Neurosurgery (S.B., P.R.C., A.L.D.), University of Texas Health Science Center, Houston; Department of Neurosurgery (E.F.C.), University of California San Francisco, CA; Department of Neurosurgery (G.P.C., A.C.W.), University of California Los Angeles; Department of Neurosurgery (C.A.D.), Lahey Hospital and Medical Center, Burlington, MA; Department of Neurosurgery (M.N.), Helsinki University and Helsinki University Hospital, Finland; Department of Neurosurgery (S.G.O.), University of Colorado, Denver; Department of Neurosurgery (X.S.), Affiliated Fuxing Hospital, Capital Medical University, Beijing, China; Department of Neurosurgery (E.P.V.-G.), Ochsner Medical Center, New Orleans, LA; and Channing Division of Network Medicine (S.T.W., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Xiangen Shi
- Department of Neurosurgery (P.M.R.L., J.-Y.R., S.-C.P., S.D., M.A.A.-S., G.R.C., K.U.F., N.J.P., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Artificial Intelligence and Robotics Laboratory (S.-C.P.), Myongji Hospital, Goyang, Korea; Department of Neurosurgery (B.A.G.), University of Pittsburgh, PA; Department of Neurosurgery (L.D.D., E.E.Z.), Sutter Health, Danville, CA; Department of Neurosurgery (A.S.B.), Albany Medical Center, NY; Department of Neurosurgery (D.L.B.), Emory University, Atlanta, GA; Department of Neurosurgery (H.H.B., B.G.W.), University of Texas Southwestern, Dallas, TX; Department of Neurosurgery (S.B., P.R.C., A.L.D.), University of Texas Health Science Center, Houston; Department of Neurosurgery (E.F.C.), University of California San Francisco, CA; Department of Neurosurgery (G.P.C., A.C.W.), University of California Los Angeles; Department of Neurosurgery (C.A.D.), Lahey Hospital and Medical Center, Burlington, MA; Department of Neurosurgery (M.N.), Helsinki University and Helsinki University Hospital, Finland; Department of Neurosurgery (S.G.O.), University of Colorado, Denver; Department of Neurosurgery (X.S.), Affiliated Fuxing Hospital, Capital Medical University, Beijing, China; Department of Neurosurgery (E.P.V.-G.), Ochsner Medical Center, New Orleans, LA; and Channing Division of Network Medicine (S.T.W., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Edison P Valle-Giler
- Department of Neurosurgery (P.M.R.L., J.-Y.R., S.-C.P., S.D., M.A.A.-S., G.R.C., K.U.F., N.J.P., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Artificial Intelligence and Robotics Laboratory (S.-C.P.), Myongji Hospital, Goyang, Korea; Department of Neurosurgery (B.A.G.), University of Pittsburgh, PA; Department of Neurosurgery (L.D.D., E.E.Z.), Sutter Health, Danville, CA; Department of Neurosurgery (A.S.B.), Albany Medical Center, NY; Department of Neurosurgery (D.L.B.), Emory University, Atlanta, GA; Department of Neurosurgery (H.H.B., B.G.W.), University of Texas Southwestern, Dallas, TX; Department of Neurosurgery (S.B., P.R.C., A.L.D.), University of Texas Health Science Center, Houston; Department of Neurosurgery (E.F.C.), University of California San Francisco, CA; Department of Neurosurgery (G.P.C., A.C.W.), University of California Los Angeles; Department of Neurosurgery (C.A.D.), Lahey Hospital and Medical Center, Burlington, MA; Department of Neurosurgery (M.N.), Helsinki University and Helsinki University Hospital, Finland; Department of Neurosurgery (S.G.O.), University of Colorado, Denver; Department of Neurosurgery (X.S.), Affiliated Fuxing Hospital, Capital Medical University, Beijing, China; Department of Neurosurgery (E.P.V.-G.), Ochsner Medical Center, New Orleans, LA; and Channing Division of Network Medicine (S.T.W., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Anthony C Wang
- Department of Neurosurgery (P.M.R.L., J.-Y.R., S.-C.P., S.D., M.A.A.-S., G.R.C., K.U.F., N.J.P., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Artificial Intelligence and Robotics Laboratory (S.-C.P.), Myongji Hospital, Goyang, Korea; Department of Neurosurgery (B.A.G.), University of Pittsburgh, PA; Department of Neurosurgery (L.D.D., E.E.Z.), Sutter Health, Danville, CA; Department of Neurosurgery (A.S.B.), Albany Medical Center, NY; Department of Neurosurgery (D.L.B.), Emory University, Atlanta, GA; Department of Neurosurgery (H.H.B., B.G.W.), University of Texas Southwestern, Dallas, TX; Department of Neurosurgery (S.B., P.R.C., A.L.D.), University of Texas Health Science Center, Houston; Department of Neurosurgery (E.F.C.), University of California San Francisco, CA; Department of Neurosurgery (G.P.C., A.C.W.), University of California Los Angeles; Department of Neurosurgery (C.A.D.), Lahey Hospital and Medical Center, Burlington, MA; Department of Neurosurgery (M.N.), Helsinki University and Helsinki University Hospital, Finland; Department of Neurosurgery (S.G.O.), University of Colorado, Denver; Department of Neurosurgery (X.S.), Affiliated Fuxing Hospital, Capital Medical University, Beijing, China; Department of Neurosurgery (E.P.V.-G.), Ochsner Medical Center, New Orleans, LA; and Channing Division of Network Medicine (S.T.W., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Babu G Welch
- Department of Neurosurgery (P.M.R.L., J.-Y.R., S.-C.P., S.D., M.A.A.-S., G.R.C., K.U.F., N.J.P., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Artificial Intelligence and Robotics Laboratory (S.-C.P.), Myongji Hospital, Goyang, Korea; Department of Neurosurgery (B.A.G.), University of Pittsburgh, PA; Department of Neurosurgery (L.D.D., E.E.Z.), Sutter Health, Danville, CA; Department of Neurosurgery (A.S.B.), Albany Medical Center, NY; Department of Neurosurgery (D.L.B.), Emory University, Atlanta, GA; Department of Neurosurgery (H.H.B., B.G.W.), University of Texas Southwestern, Dallas, TX; Department of Neurosurgery (S.B., P.R.C., A.L.D.), University of Texas Health Science Center, Houston; Department of Neurosurgery (E.F.C.), University of California San Francisco, CA; Department of Neurosurgery (G.P.C., A.C.W.), University of California Los Angeles; Department of Neurosurgery (C.A.D.), Lahey Hospital and Medical Center, Burlington, MA; Department of Neurosurgery (M.N.), Helsinki University and Helsinki University Hospital, Finland; Department of Neurosurgery (S.G.O.), University of Colorado, Denver; Department of Neurosurgery (X.S.), Affiliated Fuxing Hospital, Capital Medical University, Beijing, China; Department of Neurosurgery (E.P.V.-G.), Ochsner Medical Center, New Orleans, LA; and Channing Division of Network Medicine (S.T.W., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Edie E Zusman
- Department of Neurosurgery (P.M.R.L., J.-Y.R., S.-C.P., S.D., M.A.A.-S., G.R.C., K.U.F., N.J.P., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Artificial Intelligence and Robotics Laboratory (S.-C.P.), Myongji Hospital, Goyang, Korea; Department of Neurosurgery (B.A.G.), University of Pittsburgh, PA; Department of Neurosurgery (L.D.D., E.E.Z.), Sutter Health, Danville, CA; Department of Neurosurgery (A.S.B.), Albany Medical Center, NY; Department of Neurosurgery (D.L.B.), Emory University, Atlanta, GA; Department of Neurosurgery (H.H.B., B.G.W.), University of Texas Southwestern, Dallas, TX; Department of Neurosurgery (S.B., P.R.C., A.L.D.), University of Texas Health Science Center, Houston; Department of Neurosurgery (E.F.C.), University of California San Francisco, CA; Department of Neurosurgery (G.P.C., A.C.W.), University of California Los Angeles; Department of Neurosurgery (C.A.D.), Lahey Hospital and Medical Center, Burlington, MA; Department of Neurosurgery (M.N.), Helsinki University and Helsinki University Hospital, Finland; Department of Neurosurgery (S.G.O.), University of Colorado, Denver; Department of Neurosurgery (X.S.), Affiliated Fuxing Hospital, Capital Medical University, Beijing, China; Department of Neurosurgery (E.P.V.-G.), Ochsner Medical Center, New Orleans, LA; and Channing Division of Network Medicine (S.T.W., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Scott T Weiss
- Department of Neurosurgery (P.M.R.L., J.-Y.R., S.-C.P., S.D., M.A.A.-S., G.R.C., K.U.F., N.J.P., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Artificial Intelligence and Robotics Laboratory (S.-C.P.), Myongji Hospital, Goyang, Korea; Department of Neurosurgery (B.A.G.), University of Pittsburgh, PA; Department of Neurosurgery (L.D.D., E.E.Z.), Sutter Health, Danville, CA; Department of Neurosurgery (A.S.B.), Albany Medical Center, NY; Department of Neurosurgery (D.L.B.), Emory University, Atlanta, GA; Department of Neurosurgery (H.H.B., B.G.W.), University of Texas Southwestern, Dallas, TX; Department of Neurosurgery (S.B., P.R.C., A.L.D.), University of Texas Health Science Center, Houston; Department of Neurosurgery (E.F.C.), University of California San Francisco, CA; Department of Neurosurgery (G.P.C., A.C.W.), University of California Los Angeles; Department of Neurosurgery (C.A.D.), Lahey Hospital and Medical Center, Burlington, MA; Department of Neurosurgery (M.N.), Helsinki University and Helsinki University Hospital, Finland; Department of Neurosurgery (S.G.O.), University of Colorado, Denver; Department of Neurosurgery (X.S.), Affiliated Fuxing Hospital, Capital Medical University, Beijing, China; Department of Neurosurgery (E.P.V.-G.), Ochsner Medical Center, New Orleans, LA; and Channing Division of Network Medicine (S.T.W., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Rose Du
- Department of Neurosurgery (P.M.R.L., J.-Y.R., S.-C.P., S.D., M.A.A.-S., G.R.C., K.U.F., N.J.P., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Artificial Intelligence and Robotics Laboratory (S.-C.P.), Myongji Hospital, Goyang, Korea; Department of Neurosurgery (B.A.G.), University of Pittsburgh, PA; Department of Neurosurgery (L.D.D., E.E.Z.), Sutter Health, Danville, CA; Department of Neurosurgery (A.S.B.), Albany Medical Center, NY; Department of Neurosurgery (D.L.B.), Emory University, Atlanta, GA; Department of Neurosurgery (H.H.B., B.G.W.), University of Texas Southwestern, Dallas, TX; Department of Neurosurgery (S.B., P.R.C., A.L.D.), University of Texas Health Science Center, Houston; Department of Neurosurgery (E.F.C.), University of California San Francisco, CA; Department of Neurosurgery (G.P.C., A.C.W.), University of California Los Angeles; Department of Neurosurgery (C.A.D.), Lahey Hospital and Medical Center, Burlington, MA; Department of Neurosurgery (M.N.), Helsinki University and Helsinki University Hospital, Finland; Department of Neurosurgery (S.G.O.), University of Colorado, Denver; Department of Neurosurgery (X.S.), Affiliated Fuxing Hospital, Capital Medical University, Beijing, China; Department of Neurosurgery (E.P.V.-G.), Ochsner Medical Center, New Orleans, LA; and Channing Division of Network Medicine (S.T.W., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
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Rawat K, Soucy SM, Kolling FW, Diaz KM, King WT, Tewari A, Jakubzick CV. Natural Antibodies Alert the Adaptive Immune System of the Presence of Transformed Cells in Early Tumorigenesis. JOURNAL OF IMMUNOLOGY (BALTIMORE, MD. : 1950) 2022; 209:1252-1259. [PMID: 36028292 PMCID: PMC9515310 DOI: 10.4049/jimmunol.2200447] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Accepted: 08/01/2022] [Indexed: 11/07/2022]
Abstract
Recent studies have revealed a critical role for natural Abs (NAbs) in antitumor immune responses. However, the role of NAbs in cancer immunosurveillance remains unexplored, mainly because of the lack of in vivo models that mimic the early recognition and elimination of transforming cells. In this article, we propose a role for NAbs in alerting the immune system against precancerous neoantigen-expressing cells immediately after they escape intrinsic tumor suppression mechanisms. We identify four distinct reproducible, trackable, MHC-matched neoantigen-expressing cell models that do not form tumors as the end point. This amplified readout in the critical window prior to tumor formation allows investigation of new mediators of cancer immunosurveillance. We found that neoantigen-expressing cells adoptively transferred in NAb-deficient mice persisted, whereas they were eliminated in wild-type mice, indicating that the circulating NAb repertoire alerts the immune system to the presence of transformed cells. Moreover, immunity is mounted against immunogenic and nonimmunogenic neoantigens contained in the NAb-tagged cells, regardless of whether the NAb directly recognizes the neoantigens. Beyond these neoantigen-expressing model systems, we observed a significantly greater tumor burden in chemically and virally induced tumor models in NAb-deficient mice compared with wild-type mice. Restoration of the NAb repertoire in NAb-deficient mice elicited the recognition and elimination of neoantigen-expressing cells and cancer. These data show that NAbs are required and sufficient for elimination of transformed cells early in tumorigenesis. These models can now be used to investigate how NAbs stimulate immunity via recognition receptors to eliminate precancerous cells.
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Affiliation(s)
- Kavita Rawat
- Department of Microbiology and Immunology, Dartmouth Geisel School of Medicine, Hanover, NH; and
| | - Shannon M Soucy
- Department of Biomedical Data Science, Dartmouth Geisel School of Medicine, Hanover, NH
| | - Fred W Kolling
- Department of Biomedical Data Science, Dartmouth Geisel School of Medicine, Hanover, NH
| | - Kiara Manohar Diaz
- Department of Microbiology and Immunology, Dartmouth Geisel School of Medicine, Hanover, NH; and
| | - William T King
- Department of Microbiology and Immunology, Dartmouth Geisel School of Medicine, Hanover, NH; and
| | - Anita Tewari
- Department of Microbiology and Immunology, Dartmouth Geisel School of Medicine, Hanover, NH; and
| | - Claudia V Jakubzick
- Department of Microbiology and Immunology, Dartmouth Geisel School of Medicine, Hanover, NH; and
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19
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Alsafar H, Albreiki M, Mousa M, Azman SK, Vurivi H, Waasia F, Ruta D, Alhosani F, Almazrouei S, Abuyadek R, Selvaraj F, Chaves-Coira I, Zvereff V, Abdel-Malek MAY, Alkaabi N, Uddin M, Al Awadhi T, Al Marzouqi N, Al Attar F, Al Shamsi S, Al Shehhi F, Alteneiji H, Mohamed K, Al Muhairi N, AlRand H, Fikri A, Henschel A. Genomic epidemiology and emergence of SARS-CoV-2 variants of concern in the United Arab Emirates. Sci Rep 2022; 12:14669. [PMID: 36038563 PMCID: PMC9421632 DOI: 10.1038/s41598-022-16967-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Accepted: 07/19/2022] [Indexed: 11/09/2022] Open
Abstract
Since the declaration of SARS-CoV-2 outbreak as a pandemic, the United Arab Emirates (UAE) public health authorities have adopted strict measures to reduce transmission as early as March 2020. As a result of these measures, flight suspension, nationwide RT-PCR and surveillance of viral sequences were extensively implemented. This study aims to characterize the epidemiology, transmission pattern, and emergence of variants of concerns (VOCs) and variants of interests (VOIs) of SARS-CoV-2 in the UAE, followed by the investigation of mutations associated with hospitalized cases. A total of 1274 samples were collected and sequenced from all seven emirates between the period of 25 April 2020 to 15 February 2021. Phylogenetic analysis demonstrated multiple introductions of SARS-CoV-2 into the UAE in the early pandemic, followed by a local spread of root clades (A, B, B.1 and B.1.1). As the international flight resumed, the frequencies of VOCs surged indicating the January peak of positive cases. We observed that the hospitalized cases were significantly associated with the presence of B.1.1.7 (p < 0.001), B.1.351 (p < 0.001) and A.23.1 (p = 0.009). Deceased cases are more likely to occur in the presence of B.1.351 (p < 0.001) and A.23.1 (p = 0.022). Logistic and ridge regression showed that 51 mutations are significantly associated with hospitalized cases with the highest proportion originated from S and ORF1a genes (31% and 29% respectively). Our study provides an epidemiological insight of the emergence of VOCs and VOIs following the borders reopening and worldwide travels. It provides reassurance that hospitalization is markedly more associated with the presence of VOCs. This study can contribute to understand the global transmission of SARS-CoV-2 variants.
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Affiliation(s)
- Habiba Alsafar
- Center for Biotechnology, Khalifa University of Science and Technology, PO BOX, 127788, Abu Dhabi, United Arab Emirates.,Department of Biomedical Engineering, College of Engineering, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates.,Emirates Bio-Research Center, Ministry of Interior, Abu Dhabi, United Arab Emirates
| | - Mohammed Albreiki
- Center for Biotechnology, Khalifa University of Science and Technology, PO BOX, 127788, Abu Dhabi, United Arab Emirates
| | - Mira Mousa
- Center for Biotechnology, Khalifa University of Science and Technology, PO BOX, 127788, Abu Dhabi, United Arab Emirates.,Nuffield Department of Women's and Reproduction Health, Oxford University, Oxford, UK
| | - Syafiq Kamarul Azman
- Department of Electrical Engineering and Computer Science, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates
| | - Hema Vurivi
- Center for Biotechnology, Khalifa University of Science and Technology, PO BOX, 127788, Abu Dhabi, United Arab Emirates
| | - Fathimathuz Waasia
- Center for Biotechnology, Khalifa University of Science and Technology, PO BOX, 127788, Abu Dhabi, United Arab Emirates
| | - Dymitr Ruta
- Emirates ICT Innovation Center (EBTIC), Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates
| | - Farida Alhosani
- Abu Dhabi Public Health Center, Abu Dhabi Department of Health, Abu Dhabi, United Arab Emirates
| | - Shereena Almazrouei
- Abu Dhabi Public Health Center, Abu Dhabi Department of Health, Abu Dhabi, United Arab Emirates
| | - Rowan Abuyadek
- Abu Dhabi Public Health Center, Abu Dhabi Department of Health, Abu Dhabi, United Arab Emirates.,High Institute of Public Health, Alexandria University, Alexandria, Egypt
| | - Francis Selvaraj
- Department Laboratory Medicine Services, Sheikh Khalifa Medical City, Abu Dhabi, United Arab Emirates
| | - Irene Chaves-Coira
- Molecular and Genetics Department, UniLabs, Abu Dhabi, United Arab Emirates
| | - Val Zvereff
- Department of Molecular Diagnostics, National Reference Laboratory, Abu Dhabi, United Arab Emirates.,Department of Pathology, College of Medicine and Health Sciences, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates
| | - Mohamed A Y Abdel-Malek
- Molecular Biology Laboratory, Mediclinic Alnoor Hospital, Abu Dhabi, United Arab Emirates.,Clinical Pathology Department, Faculty of Medicine, Assiut University, Assiut, Egypt
| | - Nawal Alkaabi
- Department of Pediatric Infectious Disease, Sheikh Khalifa Medical City, Abu Dhabi, United Arab Emirates
| | - Maimunah Uddin
- Department of Pediatric Infectious Disease, Sheikh Khalifa Medical City, Abu Dhabi, United Arab Emirates
| | - Tayba Al Awadhi
- Ministry of Health and Prevention, Dubai, United Arab Emirates
| | | | - Fatma Al Attar
- Ministry of Health and Prevention, Dubai, United Arab Emirates
| | | | | | - Hala Alteneiji
- Ministry of Health and Prevention, Dubai, United Arab Emirates
| | | | - Noor Al Muhairi
- Ministry of Health and Prevention, Dubai, United Arab Emirates
| | - Hussain AlRand
- Ministry of Health and Prevention, Dubai, United Arab Emirates
| | - Asma Fikri
- Ministry of Health and Prevention, Dubai, United Arab Emirates
| | - Andreas Henschel
- Center for Biotechnology, Khalifa University of Science and Technology, PO BOX, 127788, Abu Dhabi, United Arab Emirates. .,Department of Electrical Engineering and Computer Science, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates.
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Willi Y, Kristensen TN, Sgrò CM, Weeks AR, Ørsted M, Hoffmann AA. Conservation genetics as a management tool: The five best-supported paradigms to assist the management of threatened species. Proc Natl Acad Sci U S A 2022; 119:e2105076119. [PMID: 34930821 PMCID: PMC8740573 DOI: 10.1073/pnas.2105076119] [Citation(s) in RCA: 64] [Impact Index Per Article: 21.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
About 50 y ago, Crow and Kimura [An Introduction to Population Genetics Theory (1970)] and Ohta and Kimura [Genet. Res. 22, 201-204 (1973)] laid the foundations of conservation genetics by predicting the relationship between population size and genetic marker diversity. This work sparked an enormous research effort investigating the importance of population dynamics, in particular small population size, for population mean performance, population viability, and evolutionary potential. In light of a recent perspective [J. C. Teixeira, C. D. Huber, Proc. Natl. Acad. Sci. U.S.A. 118, 10 (2021)] that challenges some fundamental assumptions in conservation genetics, it is timely to summarize what the field has achieved, what robust patterns have emerged, and worthwhile future research directions. We consider theory and methodological breakthroughs that have helped management, and we outline some fundamental and applied challenges for conservation genetics.
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Affiliation(s)
- Yvonne Willi
- Department of Environmental Sciences, University of Basel, 4056 Basel, Switzerland
| | - Torsten N Kristensen
- Department of Chemistry and Bioscience, Aalborg University, Aalborg 9220, Denmark
| | - Carla M Sgrò
- School of Biological Sciences, Monash University, Melbourne, VIC 3800, Australia
| | - Andrew R Weeks
- School of BioSciences, Bio21 Institute, University of Melbourne, Melbourne, VIC 3010, Australia
- Cesar Australia, Brunswick, VIC 3056, Australia
| | - Michael Ørsted
- Department of Chemistry and Bioscience, Aalborg University, Aalborg 9220, Denmark
- Department of Biology, Aarhus University, Aarhus 8000, Denmark
| | - Ary A Hoffmann
- School of BioSciences, Bio21 Institute, University of Melbourne, Melbourne, VIC 3010, Australia;
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21
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Genomic basis of fishing-associated selection varies with population density. Proc Natl Acad Sci U S A 2021; 118:2020833118. [PMID: 34903645 PMCID: PMC8713780 DOI: 10.1073/pnas.2020833118] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/29/2021] [Indexed: 11/29/2022] Open
Abstract
Fisheries-associated selection is recognized as one of the strongest potential human drivers of contemporary evolution in natural populations. The results of this study show that while simulated commercial fishing techniques consistently remove fish with traits associated with growth, metabolism, and social behavior, the specific genes under fishing selection differ depending on the density of the targeted population. This finding suggests that different fish populations of varying sizes will respond differently to fishing selection at the genetic level. Furthermore, as a population is fished over time, the genes under selection may change as the population diminishes. This could have repercussions on population resilience. This study highlights the importance of selection but also environmental and density effects on harvested fish populations. Fisheries induce one of the strongest anthropogenic selective pressures on natural populations, but the genetic effects of fishing remain unclear. Crucially, we lack knowledge of how capture-associated selection and its interaction with reductions in population density caused by fishing can potentially shift which genes are under selection. Using experimental fish reared at two densities and repeatedly harvested by simulated trawling, we show consistent phenotypic selection on growth, metabolism, and social behavior regardless of density. However, the specific genes under selection—mainly related to brain function and neurogenesis—varied with the population density. This interaction between direct fishing selection and density could fundamentally alter the genomic responses to harvest. The evolutionary consequences of fishing are therefore likely context dependent, possibly varying as exploited populations decline. These results highlight the need to consider environmental factors when predicting effects of human-induced selection and evolution.
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22
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Cheng Y, Miller MJ, Zhang D, Xiong Y, Hao Y, Jia C, Cai T, Li SH, Johansson US, Liu Y, Chang Y, Song G, Qu Y, Lei F. Parallel genomic responses to historical climate change and high elevation in East Asian songbirds. Proc Natl Acad Sci U S A 2021; 118:e2023918118. [PMID: 34873033 PMCID: PMC8685689 DOI: 10.1073/pnas.2023918118] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/23/2021] [Indexed: 12/01/2022] Open
Abstract
Parallel evolution can be expected among closely related taxa exposed to similar selective pressures. However, parallelism is typically stronger at the phenotypic level, while genetic solutions to achieve these phenotypic similarities may differ. For polygenic traits, the availability of standing genetic variation (i.e., heterozygosity) may influence such genetic nonparallelism. Here, we examine the extent to which high-elevation adaptation is parallel-and whether the level of parallelism is affected by heterozygosity-by analyzing genomes of 19 Paridae species distributed across East Asia with a dramatic east-west elevation gradient. We find that western highlands endemic parids have consistently lower levels of heterozygosity-likely the result of late-Pleistocene demographic contraction-than do parids found exclusively in eastern lowlands, which remained unglaciated during the late Pleistocene. Three widespread species (east to west) have high levels of heterozygosity similar to that observed in eastern species, although their western populations are less variable than eastern ones. Comparing genomic responses to extreme environments of the Qinghai-Tibet Plateau, we find that the most differentiated genomic regions between each high-elevation taxon and its low-elevation relative are significantly enriched for genes potentially related to the oxygen transport cascade and/or thermogenesis. Despite no parallelism at particular genes, high similarity in gene function is found among comparisons. Furthermore, parallelism is not higher in more heterozygous widespread parids than in highland endemics. Thus, in East Asian parids, parallel functional response to extreme elevation appears to rely on different genes, with differences in heterozygosity having no effect on the degree of genetic parallelism.
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Affiliation(s)
- Yalin Cheng
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Matthew J Miller
- Reneco International Wildlife Consultants, LLC, Abu Dhabi, UAE
- University of Alaska Museum, University of Alaska Fairbanks, AK
| | - Dezhi Zhang
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
| | - Ying Xiong
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yan Hao
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Chenxi Jia
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
| | - Tianlong Cai
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Shou-Hsien Li
- Department of Life Sciences, National Taiwan Normal University, Taipei, 116, Taiwan, China
| | - Ulf S Johansson
- Department of Zoology, Swedish Museum of Natural History, SE-104 05 Stockholm, Sweden
| | - Yang Liu
- State Key Laboratory of Biocontrol, Department of Ecology/School of Life Sciences, Sun Yat-sen University, Guangzhou, 510275, China
| | - Yongbin Chang
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Gang Song
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
| | - Yanhua Qu
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
| | - Fumin Lei
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China;
- University of Chinese Academy of Sciences, Beijing 100049, China
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, 650201, China
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23
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Ho WW, Gomes-Santos IL, Aoki S, Datta M, Kawaguchi K, Talele NP, Roberge S, Ren J, Liu H, Chen IX, Andersson P, Chatterjee S, Kumar AS, Amoozgar Z, Zhang Q, Huang P, Ng MR, Chauhan VP, Xu L, Duda DG, Clark JW, Pittet MJ, Fukumura D, Jain RK. Dendritic cell paucity in mismatch repair-proficient colorectal cancer liver metastases limits immune checkpoint blockade efficacy. Proc Natl Acad Sci U S A 2021; 118:e2105323118. [PMID: 34725151 PMCID: PMC8609309 DOI: 10.1073/pnas.2105323118] [Citation(s) in RCA: 54] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/05/2021] [Indexed: 12/21/2022] Open
Abstract
Liver metastasis is a major cause of mortality for patients with colorectal cancer (CRC). Mismatch repair-proficient (pMMR) CRCs make up about 95% of metastatic CRCs, and are unresponsive to immune checkpoint blockade (ICB) therapy. Here we show that mouse models of orthotopic pMMR CRC liver metastasis accurately recapitulate the inefficacy of ICB therapy in patients, whereas the same pMMR CRC tumors are sensitive to ICB therapy when grown subcutaneously. To reveal local, nonmalignant components that determine CRC sensitivity to treatment, we compared the microenvironments of pMMR CRC cells grown as liver metastases and subcutaneous tumors. We found a paucity of both activated T cells and dendritic cells in ICB-treated orthotopic liver metastases, when compared with their subcutaneous tumor counterparts. Furthermore, treatment with Feline McDonough sarcoma (FMS)-like tyrosine kinase 3 ligand (Flt3L) plus ICB therapy increased dendritic cell infiltration into pMMR CRC liver metastases and improved mouse survival. Lastly, we show that human CRC liver metastases and microsatellite stable (MSS) primary CRC have a similar paucity of T cells and dendritic cells. These studies indicate that orthotopic tumor models, but not subcutaneous models, should be used to guide human clinical trials. Our findings also posit dendritic cells as antitumor components that can increase the efficacy of immunotherapies against pMMR CRC.
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Affiliation(s)
- William W Ho
- Edwin L. Steele Laboratories, Department of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114
- Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139
| | - Igor L Gomes-Santos
- Edwin L. Steele Laboratories, Department of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114
| | - Shuichi Aoki
- Edwin L. Steele Laboratories, Department of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114
| | - Meenal Datta
- Edwin L. Steele Laboratories, Department of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114
| | - Kosuke Kawaguchi
- Edwin L. Steele Laboratories, Department of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114
| | - Nilesh P Talele
- Edwin L. Steele Laboratories, Department of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114
| | - Sylvie Roberge
- Edwin L. Steele Laboratories, Department of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114
| | - Jun Ren
- Edwin L. Steele Laboratories, Department of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114
| | - Hao Liu
- Edwin L. Steele Laboratories, Department of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114
| | - Ivy X Chen
- Edwin L. Steele Laboratories, Department of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114
| | - Patrik Andersson
- Edwin L. Steele Laboratories, Department of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114
| | - Sampurna Chatterjee
- Edwin L. Steele Laboratories, Department of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114
| | - Ashwin S Kumar
- Edwin L. Steele Laboratories, Department of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114
- Harvard-MIT Program in Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA 02139
| | - Zohreh Amoozgar
- Edwin L. Steele Laboratories, Department of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114
| | - Qixian Zhang
- Edwin L. Steele Laboratories, Department of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114
| | - Peigen Huang
- Edwin L. Steele Laboratories, Department of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114
| | - Mei Rosa Ng
- Edwin L. Steele Laboratories, Department of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114
| | - Vikash P Chauhan
- Edwin L. Steele Laboratories, Department of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114
| | - Lei Xu
- Edwin L. Steele Laboratories, Department of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114
| | - Dan G Duda
- Edwin L. Steele Laboratories, Department of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114
| | - Jeffrey W Clark
- Department of Hematology/Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114
| | - Mikael J Pittet
- Department of Pathology and Immunology, University of Geneva, CH-1211 Geneva, Switzerland;
- Ludwig Institute for Cancer Research, 1005 Lausanne, Switzerland
- Department of Oncology, Geneva University Hospitals, CH-1211 Geneva, Switzerland
- Center for Systems Biology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114
| | - Dai Fukumura
- Edwin L. Steele Laboratories, Department of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114;
| | - Rakesh K Jain
- Edwin L. Steele Laboratories, Department of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114;
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24
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SARS-CoV-2 evolution in animals suggests mechanisms for rapid variant selection. Proc Natl Acad Sci U S A 2021; 118:2105253118. [PMID: 34716263 PMCID: PMC8612357 DOI: 10.1073/pnas.2105253118] [Citation(s) in RCA: 67] [Impact Index Per Article: 16.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2021] [Accepted: 09/15/2021] [Indexed: 12/15/2022] Open
Abstract
SARS-CoV-2 spillback from humans into domestic and wild animals has been well documented, and an accumulating number of studies illustrate that human-to-animal transmission is widespread in cats, mink, deer, and other species. Experimental inoculations of cats, mink, and ferrets have perpetuated transmission cycles. We sequenced full genomes of Vero cell-expanded SARS-CoV-2 inoculum and viruses recovered from cats (n = 6), dogs (n = 3), hamsters (n = 3), and a ferret (n = 1) following experimental exposure. Five nonsynonymous changes relative to the USA-WA1/2020 prototype strain were near fixation in the stock used for inoculation but had reverted to wild-type sequences at these sites in dogs, cats, and hamsters within 1- to 3-d postexposure. A total of 14 emergent variants (six in nonstructural genes, six in spike, and one each in orf8 and nucleocapsid) were detected in viruses recovered from animals. This included substitutions in spike residues H69, N501, and D614, which also vary in human lineages of concern. Even though a live virus was not cultured from dogs, substitutions in replicase genes were detected in amplified sequences. The rapid selection of SARS-CoV-2 variants in vitro and in vivo reveals residues with functional significance during host switching. These observations also illustrate the potential for spillback from animal hosts to accelerate the evolution of new viral lineages, findings of particular concern for dogs and cats living in households with COVID-19 patients. More generally, this glimpse into viral host switching reveals the unrealized rapidity and plasticity of viral evolution in experimental animal model systems.
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25
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Morejon-Garcia P, Keren B, Marcos-Alcalde I, Gomez-Puertas P, Mochel F, Lazo PA. Dysfunctional Homozygous VRK1-D263G Variant Impairs the Assembly of Cajal Bodies and DNA Damage Response in Hereditary Spastic Paraplegia. NEUROLOGY-GENETICS 2021; 7:e624. [PMID: 34504951 PMCID: PMC8422991 DOI: 10.1212/nxg.0000000000000624] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Accepted: 07/26/2021] [Indexed: 11/29/2022]
Abstract
Background and Objectives To conduct a genetic and molecular functional study of a family with members affected of hereditary spastic paraplegia (HSP) of unknown origin and carrying a novel pathogenic vaccinia-related kinase 1 (VRK1) variant. Methods Whole-exome sequencing was performed in 2 patients, and their parents diagnosed with HSP. The novel VRK1 variant was detected by whole-exome sequencing, molecularly modeled and biochemically characterized in kinase assays. Functionally, we studied the role of this VRK1 variant in DNA damage response and its effect on the assembly of Cajal bodies (CBs). Results We have identified a very rare homozygous variant VRK1-D263G with a neurologic phenotype associated with HSP and moderate intellectual disability. The molecular modeling of this VRK1 variant protein predicted an alteration in the folding of a loop that interferes with the access to the kinase catalytic site. The VRK1-D263G variant is kinase inactive and does not phosphorylate histones H2AX and H3, transcription factors activating transcription factor 2 and p53, coilin needed for assembly of CBs, and p53 binding protein 1, a DNA repair protein. Functionally, this VRK1 variant protein impairs CB formation and the DNA damage response. Discussion This report expands the neurologic spectrum of neuromotor syndromes associated with a new and rare VRK1 variant, representing a novel pathogenic participant in complicated HSP and demonstrates that CBs and the DNA damage response are impaired in these patients.
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Affiliation(s)
- Patricia Morejon-Garcia
- Molecular Mechanisms of Cancer Program (P.M.-G., P.A.L.), Instituto de Biología Molecular y Celular del Cáncer, Consejo Superior de Investigaciones Científicas (CSIC) - Universidad de Salamanca; Instituto de Investigación Biomédica de Salamanca (IBSAL) (P.M.-G., P.A.L.), Hospital Universitario de Salamanca, Spain; Genetics Department (B.K.), La Pitié-Salpêtrière Hospital, APHP. Sorbonne Université, Paris, France; Molecular Modelling Group (I.M.-A.), Centro de Biología Molecular "Severo Ochoa". CSIC - Universidad Autónoma de Madrid, Spain; Biosciences Research Institute (I.M.-A., P.G.-P.), School of Experimental Sciences, Universidad Francisco de Vitoria, Madrid, Spain; and Sorbonne Université - Université Pierre et Marie Curie (F.M.), Institut du Cerveau et de la Moelle épinière, INSERM U-1127, CNRS-UMR 7225, Paris, France
| | - Boris Keren
- Molecular Mechanisms of Cancer Program (P.M.-G., P.A.L.), Instituto de Biología Molecular y Celular del Cáncer, Consejo Superior de Investigaciones Científicas (CSIC) - Universidad de Salamanca; Instituto de Investigación Biomédica de Salamanca (IBSAL) (P.M.-G., P.A.L.), Hospital Universitario de Salamanca, Spain; Genetics Department (B.K.), La Pitié-Salpêtrière Hospital, APHP. Sorbonne Université, Paris, France; Molecular Modelling Group (I.M.-A.), Centro de Biología Molecular "Severo Ochoa". CSIC - Universidad Autónoma de Madrid, Spain; Biosciences Research Institute (I.M.-A., P.G.-P.), School of Experimental Sciences, Universidad Francisco de Vitoria, Madrid, Spain; and Sorbonne Université - Université Pierre et Marie Curie (F.M.), Institut du Cerveau et de la Moelle épinière, INSERM U-1127, CNRS-UMR 7225, Paris, France
| | - Iñigo Marcos-Alcalde
- Molecular Mechanisms of Cancer Program (P.M.-G., P.A.L.), Instituto de Biología Molecular y Celular del Cáncer, Consejo Superior de Investigaciones Científicas (CSIC) - Universidad de Salamanca; Instituto de Investigación Biomédica de Salamanca (IBSAL) (P.M.-G., P.A.L.), Hospital Universitario de Salamanca, Spain; Genetics Department (B.K.), La Pitié-Salpêtrière Hospital, APHP. Sorbonne Université, Paris, France; Molecular Modelling Group (I.M.-A.), Centro de Biología Molecular "Severo Ochoa". CSIC - Universidad Autónoma de Madrid, Spain; Biosciences Research Institute (I.M.-A., P.G.-P.), School of Experimental Sciences, Universidad Francisco de Vitoria, Madrid, Spain; and Sorbonne Université - Université Pierre et Marie Curie (F.M.), Institut du Cerveau et de la Moelle épinière, INSERM U-1127, CNRS-UMR 7225, Paris, France
| | - Paulino Gomez-Puertas
- Molecular Mechanisms of Cancer Program (P.M.-G., P.A.L.), Instituto de Biología Molecular y Celular del Cáncer, Consejo Superior de Investigaciones Científicas (CSIC) - Universidad de Salamanca; Instituto de Investigación Biomédica de Salamanca (IBSAL) (P.M.-G., P.A.L.), Hospital Universitario de Salamanca, Spain; Genetics Department (B.K.), La Pitié-Salpêtrière Hospital, APHP. Sorbonne Université, Paris, France; Molecular Modelling Group (I.M.-A.), Centro de Biología Molecular "Severo Ochoa". CSIC - Universidad Autónoma de Madrid, Spain; Biosciences Research Institute (I.M.-A., P.G.-P.), School of Experimental Sciences, Universidad Francisco de Vitoria, Madrid, Spain; and Sorbonne Université - Université Pierre et Marie Curie (F.M.), Institut du Cerveau et de la Moelle épinière, INSERM U-1127, CNRS-UMR 7225, Paris, France
| | - Fanny Mochel
- Molecular Mechanisms of Cancer Program (P.M.-G., P.A.L.), Instituto de Biología Molecular y Celular del Cáncer, Consejo Superior de Investigaciones Científicas (CSIC) - Universidad de Salamanca; Instituto de Investigación Biomédica de Salamanca (IBSAL) (P.M.-G., P.A.L.), Hospital Universitario de Salamanca, Spain; Genetics Department (B.K.), La Pitié-Salpêtrière Hospital, APHP. Sorbonne Université, Paris, France; Molecular Modelling Group (I.M.-A.), Centro de Biología Molecular "Severo Ochoa". CSIC - Universidad Autónoma de Madrid, Spain; Biosciences Research Institute (I.M.-A., P.G.-P.), School of Experimental Sciences, Universidad Francisco de Vitoria, Madrid, Spain; and Sorbonne Université - Université Pierre et Marie Curie (F.M.), Institut du Cerveau et de la Moelle épinière, INSERM U-1127, CNRS-UMR 7225, Paris, France
| | - Pedro A Lazo
- Molecular Mechanisms of Cancer Program (P.M.-G., P.A.L.), Instituto de Biología Molecular y Celular del Cáncer, Consejo Superior de Investigaciones Científicas (CSIC) - Universidad de Salamanca; Instituto de Investigación Biomédica de Salamanca (IBSAL) (P.M.-G., P.A.L.), Hospital Universitario de Salamanca, Spain; Genetics Department (B.K.), La Pitié-Salpêtrière Hospital, APHP. Sorbonne Université, Paris, France; Molecular Modelling Group (I.M.-A.), Centro de Biología Molecular "Severo Ochoa". CSIC - Universidad Autónoma de Madrid, Spain; Biosciences Research Institute (I.M.-A., P.G.-P.), School of Experimental Sciences, Universidad Francisco de Vitoria, Madrid, Spain; and Sorbonne Université - Université Pierre et Marie Curie (F.M.), Institut du Cerveau et de la Moelle épinière, INSERM U-1127, CNRS-UMR 7225, Paris, France
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26
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Farinholt T, Doddapaneni H, Qin X, Menon V, Meng Q, Metcalf G, Chao H, Gingras MC, Farinholt P, Agrawal C, Muzny DM, Piedra PA, Gibbs RA, Petrosino J. Transmission event of SARS-CoV-2 Delta variant reveals multiple vaccine breakthrough infections. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2021:2021.06.28.21258780. [PMID: 34268529 PMCID: PMC8282118 DOI: 10.1101/2021.06.28.21258780] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/28/2023]
Abstract
Importance Vaccine breakthrough by an emergent SARS-CoV-2 variant poses a great risk to global public health. Objective To determine the SARS-CoV-2 variant responsible for 6 cases of vaccine breakthrough. Design Nasopharyngeal swabs from suspected vaccine breakthrough cases were tested for SARS-CoV-2 by qPCR for Wuhan-Hu1 and Alpha variant. Positive samples were then sequenced by Swift Normalase Amplicon Panels to determine the causal variant. Setting Transmission event occurred at events surrounding a wedding outside of Houston, TX. Two patients from India, likely transmitted the Delta variant to other guests. Participants Following a positive SARS-CoV-2 qPCR test at a third-party site, six fully vaccinated patients were investigated. Three males and three females ranged from 53 to 69 years old. One patient suffered from diabetes while three others were classified as overweight. No significant other comorbidities were identified. None of the patients had a history of failed vaccination.
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Affiliation(s)
- Timothy Farinholt
- Alkek Center for Metagenomics and Microbiome Research, Department of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, TX, USA
| | - Harsha Doddapaneni
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Xiang Qin
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Vipin Menon
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Qingchang Meng
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Ginger Metcalf
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Hsu Chao
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Marie-Claude Gingras
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Paige Farinholt
- Department of Medicine, Baylor College of Medicine, Houston, TX, USA
| | - Charu Agrawal
- Department of Medicine, Baylor College of Medicine, Houston, TX, USA
| | - Donna M Muzny
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Pedro A Piedra
- Alkek Center for Metagenomics and Microbiome Research, Department of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, TX, USA
| | - Richard A Gibbs
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Joseph Petrosino
- Alkek Center for Metagenomics and Microbiome Research, Department of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, TX, USA
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