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Tierney BT, Kim J, Overbey EG, Ryon KA, Foox J, Sierra M, Bhattacharya C, Damle N, Najjar D, Park J, Garcia Medina S, Houerbi N, Meydan C, Wain Hershberg J, Qiu J, Kleinman A, Al Ghalith G, MacKay M, Afshin EE, Dhir R, Borg J, Gatt C, Brereton N, Readhead B, Beyaz S, Venkateswaran KJ, Blease K, Moreno J, Boddicker A, Zhao J, Lajoie B, Scott RT, Altomare A, Kruglyak S, Levy S, Church G, Mason CE. Viral activation and ecological restructuring characterize a microbiome axis of spaceflight-associated immune activation. Res Sq 2023:rs.3.rs-2493867. [PMID: 37886447 PMCID: PMC10602132 DOI: 10.21203/rs.3.rs-2493867/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/28/2023]
Abstract
Maintenance of astronaut health during spaceflight will require monitoring and potentially modulating their microbiomes, which play a role in some space-derived health disorders. However, documenting the response of microbiota to spaceflight has been difficult thus far due to mission constraints that lead to limited sampling. Here, we executed a six-month longitudinal study centered on a three-day flight to quantify the high-resolution microbiome response to spaceflight. Via paired metagenomics and metatranscriptomics alongside single immune profiling, we resolved a microbiome "architecture" of spaceflight characterized by time-dependent and taxonomically divergent microbiome alterations across 750 samples and ten body sites. We observed pan-phyletic viral activation and signs of persistent changes that, in the oral microbiome, yielded plaque-associated pathobionts with strong associations to immune cell gene expression. Further, we found enrichments of microbial genes associated with antibiotic production, toxin-antitoxin systems, and stress response enriched universally across the body sites. We also used strain-level tracking to measure the potential propagation of microbial species from the crew members to each other and the environment, identifying microbes that were prone to seed the capsule surface and move between the crew. Finally, we identified associations between microbiome and host immune cell shifts, proposing both a microbiome axis of immune changes during flight as well as the sources of some of those changes. In summary, these datasets and methods reveal connections between crew immunology, the microbiome, and their likely drivers and lay the groundwork for future microbiome studies of spaceflight.
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Affiliation(s)
- Braden T. Tierney
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
| | - JangKeun Kim
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
| | - Eliah G. Overbey
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
| | - Krista A. Ryon
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
| | - Jonathan Foox
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
| | - Maria Sierra
- Tri-Institutional Biology and Medicine program, Weill Cornell Medicine, New York, NY, USA
| | - Chandrima Bhattacharya
- Tri-Institutional Biology and Medicine program, Weill Cornell Medicine, New York, NY, USA
| | - Namita Damle
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
| | - Deena Najjar
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
| | - Jiwoon Park
- Tri-Institutional Biology and Medicine program, Weill Cornell Medicine, New York, NY, USA
| | | | - Nadia Houerbi
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
| | - Cem Meydan
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
| | - Jeremy Wain Hershberg
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
| | - Jake Qiu
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
| | - Ashley Kleinman
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
| | | | - Matthew MacKay
- Tri-Institutional Biology and Medicine program, Weill Cornell Medicine, New York, NY, USA
| | - Evan E Afshin
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
| | - Raja Dhir
- Seed Health, Inc, Venice, CA, USA
- Swiss Institute of Allergy and Asthma Research (SIAF), University of Zurich, Davos, Switzerland
| | - Joseph Borg
- Department of Applied Biomedical Science, Faculty of Health Sciences, University of Malta, Msida, MSD2090, Malta
| | - Christine Gatt
- Department of Applied Biomedical Science, Faculty of Health Sciences, University of Malta, Msida, MSD2090, Malta
| | - Nicholas Brereton
- School of Biology and Environmental Science, University College Dublin, Dublin, Ireland
| | - Ben Readhead
- ASU-Banner Neurodegenerative Disease Research Center, Arizona State University, Tempe, AZ, USA
| | - Semir Beyaz
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
| | | | | | | | | | | | | | - Ryan T. Scott
- KBR; Space Biosciences Division, NASA Ames Research Center, Moffett Field, CA, USA
| | | | | | | | - George Church
- Harvard Medical School and the Wyss Institute, Boston, MA, USA
| | - Christopher E. Mason
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
- The WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY, USA
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Elahi E, Afshin EE, Zoltan S, Hu KY. Biopsy of the Parietal Branch of the Superficial Temporal Artery for the Diagnosis of Giant Cell Arteritis. J Neuroophthalmol 2023; 43:e41-e44. [PMID: 36166707 DOI: 10.1097/wno.0000000000001631] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
BACKGROUND Biopsy of the superficial temporal artery (STA) is central to the diagnosis of giant cell arteritis (GCA), but determining the ideal biopsy site along the course of the STA continues to be a challenge. Traditionally, the frontal branch or preauricular region of the STA is biopsied because of their accessibility, but biopsy at these locations can produce visible cosmetic defects and social disruption that can be distressing to patients, as well as increase the likelihood of adverse events such as injury to the facial nerve. The authors describe a surgical technique of biopsy of the parietal branch of the STA to improve the patient's perioperative and postoperative experience. METHODS In this retrospective review, 24 patients with clinical suspicion of GCA who underwent biopsy of the parietal branch of the STA were identified. Patients underwent mapping of the branches of the STA with Doppler ultrasound before the procedure. Biopsy of the parietal branch of the STA was conducted using a CO 2 laser. RESULTS Twenty-four patients underwent biopsy of the parietal branch of the STA. Two patients were diagnosed on histopathology with GCA. All patients tolerated the procedure well and without complications. CONCLUSION Application of preoperative Doppler ultrasound mapping, use of a CO 2 laser for incisions and hemostasis, and selection of the parietal branch allowed for improved cosmetic outcomes, no associated adverse events, and improved overall patient experience. The authors advocate biopsy of the parietal branch of the superficial temporal artery for the diagnosis of GCA in the absence of contraindications.
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Affiliation(s)
- Ebby Elahi
- Department of Ophthalmology (EE, SZ), Icahn School of Medicine at Mount Sinai, New York, New York; Department of Otolaryngology (EE), Icahn School of Medicine at Mount Sinai, New York, New York; Department of Environmental Medicine and Public Health (EE), Icahn School of Medicine at Mount Sinai, New York, New York; Department of Physiology and Biophysics (EEA), Weill Cornell Medicine, New York, New York; Illinois Eye and Ear Infirmary, Department of Ophthalmology and Visual Sciences, University of Illinois, Chicago, Illinois
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Overbey EG, Ryon K, Kim J, Tierney B, Klotz R, Ortiz V, Mullane S, Schmidt JC, MacKay M, Damle N, Najjar D, Matei I, Patras L, Medina JSG, Kleinman A, Hirschberg JW, Proszynski J, Narayanan SA, Schmidt CM, Afshin EE, Innes L, Saldarriaga MM, Schmidt MA, Granstein RD, Shirah B, Yu M, Lyden D, Mateus J, Mason CE. Collection of Biospecimens from the Inspiration4 Mission Establishes the Standards for the Space Omics and Medical Atlas (SOMA). bioRxiv 2023:2023.05.02.539108. [PMID: 37205403 PMCID: PMC10187258 DOI: 10.1101/2023.05.02.539108] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/21/2023]
Abstract
The SpaceX Inspiration4 mission provided a unique opportunity to study the impact of spaceflight on the human body. Biospecimen samples were collected from the crew at different stages of the mission, including before (L-92, L-44, L-3 days), during (FD1, FD2, FD3), and after (R+1, R+45, R+82, R+194 days) spaceflight, creating a longitudinal sample set. The collection process included samples such as venous blood, capillary dried blood spot cards, saliva, urine, stool, body swabs, capsule swabs, SpaceX Dragon capsule HEPA filter, and skin biopsies, which were processed to obtain aliquots of serum, plasma, extracellular vesicles, and peripheral blood mononuclear cells. All samples were then processed in clinical and research laboratories for optimal isolation and testing of DNA, RNA, proteins, metabolites, and other biomolecules. This paper describes the complete set of collected biospecimens, their processing steps, and long-term biobanking methods, which enable future molecular assays and testing. As such, this study details a robust framework for obtaining and preserving high-quality human, microbial, and environmental samples for aerospace medicine in the Space Omics and Medical Atlas (SOMA) initiative, which can also aid future experiments in human spaceflight and space biology.
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Affiliation(s)
- Eliah G. Overbey
- Department of Physiology and Biophysics, Weill Cornell Medicine, Cornell University, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
- BioAstra, Inc, New York, NY, USA
| | - Krista Ryon
- Department of Physiology and Biophysics, Weill Cornell Medicine, Cornell University, New York, NY, USA
| | - JangKeun Kim
- Department of Physiology and Biophysics, Weill Cornell Medicine, Cornell University, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
| | - Braden Tierney
- Department of Physiology and Biophysics, Weill Cornell Medicine, Cornell University, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
| | - Remi Klotz
- Department of Stem Cell Biology and Regenerative Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Veronica Ortiz
- Department of Stem Cell Biology and Regenerative Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Sean Mullane
- Space Exploration Technologies Corporation, Hawthorne, CA, USA
| | - Julian C. Schmidt
- Sovaris Aerospace, Boulder, Colorado, USA
- Advanced Pattern Analysis & Human Performance Group, Boulder, Colorado, USA
| | - Matthew MacKay
- Department of Physiology and Biophysics, Weill Cornell Medicine, Cornell University, New York, NY, USA
| | - Namita Damle
- Department of Physiology and Biophysics, Weill Cornell Medicine, Cornell University, New York, NY, USA
| | - Deena Najjar
- Department of Physiology and Biophysics, Weill Cornell Medicine, Cornell University, New York, NY, USA
| | - Irina Matei
- Children’s Cancer and Blood Foundation Laboratories, Departments of Pediatrics and Cell and Developmental Biology, Drukier Institute for Children’s Health, Meyer Cancer Center, Weill Cornell Medicine, New York, NY
- Meyer Cancer Center, Weill Cornell Medicine, New York, NY 10065, USA
| | - Laura Patras
- Children’s Cancer and Blood Foundation Laboratories, Departments of Pediatrics and Cell and Developmental Biology, Drukier Institute for Children’s Health, Meyer Cancer Center, Weill Cornell Medicine, New York, NY
- Department of Molecular Biology and Biotechnology, Center of Systems Biology, Biodiversity and Bioresources, Faculty of Biology and Geology, Babes-Bolyai University, Cluj-Napoca, Romania
| | | | - Ashley Kleinman
- Department of Physiology and Biophysics, Weill Cornell Medicine, Cornell University, New York, NY, USA
| | - Jeremy Wain Hirschberg
- Department of Physiology and Biophysics, Weill Cornell Medicine, Cornell University, New York, NY, USA
| | - Jacqueline Proszynski
- Department of Physiology and Biophysics, Weill Cornell Medicine, Cornell University, New York, NY, USA
| | | | - Caleb M. Schmidt
- Sovaris Aerospace, Boulder, Colorado, USA
- Advanced Pattern Analysis & Human Performance Group, Boulder, Colorado, USA
- Department of Systems Engineering, Colorado State University, Fort Collins, Colorado, USA
| | - Evan E. Afshin
- Department of Physiology and Biophysics, Weill Cornell Medicine, Cornell University, New York, NY, USA
| | - Lucinda Innes
- Department of Physiology and Biophysics, Weill Cornell Medicine, Cornell University, New York, NY, USA
| | | | - Michael A. Schmidt
- Sovaris Aerospace, Boulder, Colorado, USA
- Advanced Pattern Analysis & Human Performance Group, Boulder, Colorado, USA
| | | | - Bader Shirah
- Department of Neuroscience, King Faisal Specialist Hospital & Research Centre, Jeddah, Saudi Arabia
| | - Min Yu
- Department of Stem Cell Biology and Regenerative Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - David Lyden
- Children’s Cancer and Blood Foundation Laboratories, Departments of Pediatrics and Cell and Developmental Biology, Drukier Institute for Children’s Health, Meyer Cancer Center, Weill Cornell Medicine, New York, NY
- Meyer Cancer Center, Weill Cornell Medicine, New York, NY 10065, USA
| | - Jaime Mateus
- Space Exploration Technologies Corporation, Hawthorne, CA, USA
| | - Christopher E. Mason
- Department of Physiology and Biophysics, Weill Cornell Medicine, Cornell University, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
- BioAstra, Inc, New York, NY, USA
- The Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, NY 10021, USA
- WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY 10021, USA
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4
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Westover C, Rahmatulloev S, Danko D, Afshin EE, O’Hara NB, Ounit R, Bezdan D, Mason CE. Ozone Disinfection for Elimination of Bacteria and Degradation of SARS-CoV2 RNA for Medical Environments. Genes (Basel) 2022; 14:85. [PMID: 36672826 PMCID: PMC9858956 DOI: 10.3390/genes14010085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Revised: 12/21/2022] [Accepted: 12/22/2022] [Indexed: 12/29/2022] Open
Abstract
Pathogenic bacteria and viruses in medical environments can lead to treatment complications and hospital-acquired infections. Current disinfection protocols do not address hard-to-access areas or may be beyond line-of-sight treatment, such as with ultraviolet radiation. The COVID-19 pandemic further underscores the demand for reliable and effective disinfection methods to sterilize a wide array of surfaces and to keep up with the supply of personal protective equipment (PPE). We tested the efficacy of Sani Sport ozone devices to treat hospital equipment and surfaces for killing Escherichia coli, Enterococcus faecalis, Bacillus subtilis, and Deinococcus radiodurans by assessing Colony Forming Units (CFUs) after 30 min, 1 h, and 2 h of ozone treatment. Further gene expression analysis was conducted on live E. coli K12 immediately post treatment to understand the oxidative damage stress response transcriptome profile. Ozone treatment was also used to degrade synthetic severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA as assessed by qPCR CT values. We observed significant and rapid killing of medically relevant and environmental bacteria across four surfaces (blankets, catheter, remotes, and syringes) within 30 min, and up to a 99% reduction in viable bacteria at the end of 2 h treatment cycles. RNA-seq analysis of E. coli K12 revealed 447 differentially expressed genes in response to ozone treatment and an enrichment for oxidative stress response and related pathways. RNA degradation of synthetic SARS-CoV-2 RNA was seen an hour into ozone treatment as compared to non-treated controls, and a non-replicative form of the virus was shown to have significant RNA degradation at 30 min. These results show the strong promise of ozone treatment of surfaces for reducing the risk of hospital-acquired infections and as a method for degradation of SARS-CoV-2 RNA.
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Affiliation(s)
- Craig Westover
- Department of Physiology and Biophysics, Weill Cornell Medical College, New York, NY 10065, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medical College, New York, NY 10065, USA
| | - Savlatjon Rahmatulloev
- Department of Physiology and Biophysics, Weill Cornell Medical College, New York, NY 10065, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medical College, New York, NY 10065, USA
| | - David Danko
- Jacobs Technion-Cornell Institute, Cornell Tech, New York, NY 10044, USA
| | - Evan E. Afshin
- Department of Physiology and Biophysics, Weill Cornell Medical College, New York, NY 10065, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medical College, New York, NY 10065, USA
- The World Quant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY 10021, USA
| | - Niamh B. O’Hara
- Jacobs Technion-Cornell Institute, Cornell Tech, New York, NY 10044, USA
| | - Rachid Ounit
- Department of Computer Science & Engineering, University of California, Riverside, CA 92521, USA
| | - Daniela Bezdan
- Institute of Medical Genetics and Applied Genomics, University of Tübingen, 72074 Tübingen, Germany
- NGS Competence Center Tübingen (NCCT), University of Tübingen, 72074 Tübingen, Germany
- Yuri GmbH, 88074 Meckenbeuren, Germany
| | - Christopher E. Mason
- Department of Physiology and Biophysics, Weill Cornell Medical College, New York, NY 10065, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medical College, New York, NY 10065, USA
- Jacobs Technion-Cornell Institute, Cornell Tech, New York, NY 10044, USA
- The Feil Family Brain and Mind Research Institute, New York, NY 10065, USA
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5
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Kim ES, Afshin EE, Elahi E. The Lowly Chalazion. Surv Ophthalmol 2022:S0039-6257(22)00154-0. [PMID: 36395826 DOI: 10.1016/j.survophthal.2022.11.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2022] [Revised: 10/31/2022] [Accepted: 11/07/2022] [Indexed: 11/16/2022]
Abstract
Chalazia are localized cysts of chronic lipogranulomatous inflammation arising from the obstruction of sebaceous glands of the eyelid tarsal plate, including the Meibomian gland (deep chalazion) or Zeis gland (superficial chalazion). This disease entity is differentiated from the hordeolum (stye), an acute purulent localized swelling of the eyelid often associated with an eyelash follicle, Zeis gland, or Moll gland obstruction and infection. Ambiguously, the chalazion, hordeolum, and blepharitis are commonly categorized and described on a continuum in the literature. While it is one of the most common eyelid disorders across all age demographics, the chalazion remains largely understudied and pathophysiological, epidemiological, and therapeutic findings exist fragmented in the literature. We discuss current understandings of the chalazion and provide current best practice guidelines supported by clinical anecdotal evidence.
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Affiliation(s)
- Eliott S Kim
- Department of Medical Education, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Fifth Avenue Eye Associates, New York, NY, USA
| | - Evan E Afshin
- Fifth Avenue Eye Associates, New York, NY, USA; Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
| | - Ebby Elahi
- Department of Medical Education, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Fifth Avenue Eye Associates, New York, NY, USA; Departments of Ophthalmology, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Otolaryngology, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
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6
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Hua H, Meydan C, Afshin EE, Lili LN, D’Adamo CR, Rickard N, Dudley JT, Price ND, Zhang B, Mason CE. A Wipe-Based Stool Collection and Preservation Kit for Microbiome Community Profiling. Front Immunol 2022; 13:889702. [PMID: 35711426 PMCID: PMC9196042 DOI: 10.3389/fimmu.2022.889702] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Accepted: 05/03/2022] [Indexed: 11/13/2022] Open
Abstract
While a range of methods for stool collection exist, many require complicated, self-directed protocols and stool transfer. In this study, we introduce and validate a novel, wipe-based approach to fecal sample collection and stabilization for metagenomics analysis. A total of 72 samples were collected across four different preservation types: freezing at -20°C, room temperature storage, a commercial DNA preservation kit, and a dissolvable wipe used with DESS (dimethyl sulfoxide, ethylenediaminetetraacetic acid, sodium chloride) solution. These samples were sequenced and analyzed for taxonomic abundance metrics, bacterial metabolic pathway classification, and diversity analysis. Overall, the DESS wipe results validated the use of a wipe-based capture method to collect stool samples for microbiome analysis, showing an R2 of 0.96 for species across all kingdoms, as well as exhibiting a maintenance of Shannon diversity (3.1-3.3) and species richness (151-159) compared to frozen samples. Moreover, DESS showed comparable performance to the commercially available preservation kit (R2 of 0.98), and samples consistently clustered by subject across each method. These data support that the DESS wipe method can be used for stable, room temperature collection and transport of human stool specimens.
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Affiliation(s)
- Hui Hua
- Thorne HealthTech, New York, NY, United States
- *Correspondence: Hui Hua, ; Christopher E. Mason,
| | - Cem Meydan
- Thorne HealthTech, New York, NY, United States
| | | | | | - Christopher R. D’Adamo
- Department of Family and Community Medicine, University of Maryland School of Medicine, Baltimore, MD, United States
| | | | | | - Nathan D. Price
- Thorne HealthTech, New York, NY, United States
- Institute for Systems Biology, Seattle, WA, United States
| | - Bodi Zhang
- Thorne HealthTech, New York, NY, United States
| | - Christopher E. Mason
- Thorne HealthTech, New York, NY, United States
- The WorldQuant Initiative for Quantitative Prediction, New York, NY, United States
- *Correspondence: Hui Hua, ; Christopher E. Mason,
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7
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Park J, Foox J, Hether T, Danko DC, Warren S, Kim Y, Reeves J, Butler DJ, Mozsary C, Rosiene J, Shaiber A, Afshin EE, MacKay M, Rendeiro AF, Bram Y, Chandar V, Geiger H, Craney A, Velu P, Melnick AM, Hajirasouliha I, Beheshti A, Taylor D, Saravia-Butler A, Singh U, Wurtele ES, Schisler J, Fennessey S, Corvelo A, Zody MC, Germer S, Salvatore S, Levy S, Wu S, Tatonetti NP, Shapira S, Salvatore M, Westblade LF, Cushing M, Rennert H, Kriegel AJ, Elemento O, Imielinski M, Rice CM, Borczuk AC, Meydan C, Schwartz RE, Mason CE. System-wide transcriptome damage and tissue identity loss in COVID-19 patients. Cell Rep Med 2022; 3:100522. [PMID: 35233546 PMCID: PMC8784611 DOI: 10.1016/j.xcrm.2022.100522] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Revised: 12/22/2021] [Accepted: 01/16/2022] [Indexed: 01/07/2023]
Abstract
The molecular mechanisms underlying the clinical manifestations of coronavirus disease 2019 (COVID-19), and what distinguishes them from common seasonal influenza virus and other lung injury states such as acute respiratory distress syndrome, remain poorly understood. To address these challenges, we combine transcriptional profiling of 646 clinical nasopharyngeal swabs and 39 patient autopsy tissues to define body-wide transcriptome changes in response to COVID-19. We then match these data with spatial protein and expression profiling across 357 tissue sections from 16 representative patient lung samples and identify tissue-compartment-specific damage wrought by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, evident as a function of varying viral loads during the clinical course of infection and tissue-type-specific expression states. Overall, our findings reveal a systemic disruption of canonical cellular and transcriptional pathways across all tissues, which can inform subsequent studies to combat the mortality of COVID-19 and to better understand the molecular dynamics of lethal SARS-CoV-2 and other respiratory infections.
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Affiliation(s)
- Jiwoon Park
- Department of Physiology, Biophysics and Systems Biology, Weill Cornell Medicine, New York, NY, USA
- Laboratory of Virology and Infectious Disease, The Rockefeller University, New York, NY 10065, USA
| | - Jonathan Foox
- Department of Physiology, Biophysics and Systems Biology, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
| | | | - David C. Danko
- Department of Physiology, Biophysics and Systems Biology, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
- Tri-Institutional Computational Biology & Medicine Program, Weill Cornell Medicine, New York, NY, USA
| | | | - Youngmi Kim
- NanoString Technologies, Inc., Seattle, WA, USA
| | | | - Daniel J. Butler
- Department of Physiology, Biophysics and Systems Biology, Weill Cornell Medicine, New York, NY, USA
| | - Christopher Mozsary
- Department of Physiology, Biophysics and Systems Biology, Weill Cornell Medicine, New York, NY, USA
| | - Joel Rosiene
- New York Genome Center, New York, NY, USA
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Alon Shaiber
- New York Genome Center, New York, NY, USA
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Evan E. Afshin
- Department of Physiology, Biophysics and Systems Biology, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
| | - Matthew MacKay
- Department of Physiology, Biophysics and Systems Biology, Weill Cornell Medicine, New York, NY, USA
| | - André F. Rendeiro
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
- Englander Institute for Precision Medicine and the Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA
| | - Yaron Bram
- Department of Medicine, Weill Cornell Medicine, New York, NY, USA
| | | | | | - Arryn Craney
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Priya Velu
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Ari M. Melnick
- Department of Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Iman Hajirasouliha
- Department of Physiology, Biophysics and Systems Biology, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
- Englander Institute for Precision Medicine and the Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA
| | - Afshin Beheshti
- KBR, Space Biosciences Division, NASA Ames Research Center, Moffett Field, CA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Deanne Taylor
- Department of Biomedical and Health Informatics, The Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Amanda Saravia-Butler
- Space Biosciences Division, NASA Ames Research Center, Moffett Field, CA, USA
- Logyx, LLC, Mountain View, CA, USA
| | - Urminder Singh
- Bioinformatics and Computational Biology Program, Center for Metabolic Biology, Department of Genetics, Development and Cell Biology Iowa State University, Ames, IA, USA
| | - Eve Syrkin Wurtele
- Bioinformatics and Computational Biology Program, Center for Metabolic Biology, Department of Genetics, Development and Cell Biology Iowa State University, Ames, IA, USA
| | - Jonathan Schisler
- McAllister Heart Institute at The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Pharmacology, and Department of Pathology and Lab Medicine at The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | | | | | | | | | - Steven Salvatore
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Shawn Levy
- HudsonAlpha Discovery Institute, Huntsville, AL, USA
| | - Shixiu Wu
- Hangzhou Cancer Institute, Hangzhou Cancer Hospital, Hangzhou, China
- Department of Radiation Oncology, Hangzhou Cancer Hospital, Hangzhou, China
| | - Nicholas P. Tatonetti
- Department of Biomedical Informatics, Department of Systems Biology, Department of Medicine, Institute for Genomic Medicine, Columbia University, New York, NY, USA
| | - Sagi Shapira
- Department of Biomedical Informatics, Department of Systems Biology, Department of Medicine, Institute for Genomic Medicine, Columbia University, New York, NY, USA
| | - Mirella Salvatore
- Department of Medicine, Weill Cornell Medicine, New York, NY, USA
- Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA
| | - Lars F. Westblade
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
- Department of Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Melissa Cushing
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Hanna Rennert
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Alison J. Kriegel
- Department of Physiology, Cardiovascular Center, Center of Systems Molecular Medicine, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Olivier Elemento
- Department of Physiology, Biophysics and Systems Biology, Weill Cornell Medicine, New York, NY, USA
- Tri-Institutional Computational Biology & Medicine Program, Weill Cornell Medicine, New York, NY, USA
- Englander Institute for Precision Medicine and the Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA
| | - Marcin Imielinski
- New York Genome Center, New York, NY, USA
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Charles M. Rice
- Laboratory of Virology and Infectious Disease, The Rockefeller University, New York, NY 10065, USA
| | - Alain C. Borczuk
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Cem Meydan
- Department of Physiology, Biophysics and Systems Biology, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
| | - Robert E. Schwartz
- Department of Physiology, Biophysics and Systems Biology, Weill Cornell Medicine, New York, NY, USA
- Department of Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Christopher E. Mason
- Department of Physiology, Biophysics and Systems Biology, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
- New York Genome Center, New York, NY, USA
- The Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY, USA
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8
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Abstract
PURPOSE To describe a novel surgical technique for implanting eyelid weights via a sutureless transconjunctival approach. In comparison to the traditional supratarsal crease approach, this technique does not involve any external incisions or suture placement. The procedure can reduce surgical time and complications associated with the traditional external approach. METHODS This case series includes 13 patients who underwent eyelid weight placement via the transconjunctival approach for paralytic lagophthalmos secondary to facial nerve paralysis (12 patients had unilateral paralysis and 1 patient had bilateral) with a total of 14 eyelid weights placed. The procedures were performed at an outpatient office-based surgical center. All procedures were performed or supervised by the same surgeon. Patients were followed for an average 6-month postoperative period for postoperative complications. RESULTS The sutureless transconjunctival approach to eyelid weight insertion was successful in achieving the desired functional and aesthetic outcomes. Patients undergoing this technique avoided the discomfort of postoperative suture removal. All patients achieved comparable outcomes postoperatively. There were no complications reported across the 13 patients throughout the 6-month postoperative period. CONCLUSIONS This case series demonstrates that the transconjunctival approach for metal eyelid weight insertion is practical, relatively easy to perform, and associated with functional outcomes that are comparable to those achieved with the traditional approach, however, without external incision or placement of sutures.
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Affiliation(s)
- Ebby Elahi
- Departments of Ophthalmology, Otolaryngology, Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Evan E Afshin
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, New York
| | - Ashley J Guthrie
- Guthrie Facial Plastic Surgery, Private Practice, Brentwood, Tennessee
| | - Christopher Lo
- Eyesthetica, Private Practice, Los Angeles, California, U.S.A
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9
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Elahi E, Afshin EE, Paine KM, Friedman AH, Taub PJ. Congenital tooth-bearing tumor of the eyelid leading to lacrimal system obstruction. Am J Ophthalmol Case Rep 2021; 23:101157. [PMID: 34286161 PMCID: PMC8274294 DOI: 10.1016/j.ajoc.2021.101157] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2020] [Revised: 04/19/2021] [Accepted: 06/28/2021] [Indexed: 12/30/2022] Open
Abstract
PURPOSE We present an unusual case of a congenital lesion presenting with concomitant chronic dacryocystitis. The clinical presentation, examination, management, and histopathology are reviewed. OBSERVATIONS A healthy male infant born at 37 weeks gestation presented with an isolated painless 5mm congenital mass of the left medial lower eyelid. Parents also reported episodic epiphora and discharge from the left eye. A surgical excision of the mass revealed an underlying dacryocystitis and the presence of a formed tooth. A dacryocystorhinostomy was performed together with a repair of the soft tissue defect. Histopathology revealed components of disorganized epithelial and mesenchymal tissues including a tooth, skeletal muscle, fat, fibrous tissue, nonkeratinized epithelium, and myelinated nerves. A diagnosis of an odontogenic choristoma of the eyelid was made. Furthermore, a lacrimal sac culture was positive for oxacillin-susceptible Staphylococcus aureus with pathological evidence of chronic dacryocystitis. CONCLUSIONS AND IMPORTANCE Odontogenic choristoma is a very rare finding in the periocular region with only a few cases reported in the literature. Awareness of clinical findings from this case may allow for a more accurate clinical diagnosis and understanding of the embryologic mechanisms underpinning eyelid and nasolacrimal development. Timely management of this condition is critical to ensure normal oculofacial development and prevent future complications.
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Affiliation(s)
- Ebby Elahi
- Departments of Ophthalmology, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Pl, New York, NY, USA
- Department of Otolaryngology, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Pl, New York, NY, USA
- Department of Environmental Medicine & Public Health, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Pl, New York, NY, USA
| | - Evan E. Afshin
- School of Medicine, New York Medical College, 40 Sunshine Cottage Rd, Valhalla, NY, USA
- Department of Physiology and Biophysics, Weill Cornell Medicine, 1305 York Ave, New York, NY, USA
| | - Kaitlyn M. Paine
- Division of Plastic and Reconstructive Surgery, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Pl, New York, NY, USA
| | - Alan H. Friedman
- Departments of Ophthalmology, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Pl, New York, NY, USA
- Department of Pathology, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Pl, New York, NY, USA
| | - Peter J. Taub
- Division of Plastic and Reconstructive Surgery, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Pl, New York, NY, USA
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10
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Mozsary C, McCloskey D, Babler KM, Boza J, Butler D, Currall B, Williams S, Wiley A, Afshin EE, Grills GS, Sharkey ME, Premsrirut P, Solo-Gabriele H, Cardentey Y, Erickson D, Mason CE. A Rapid, Isothermal, and Point-of-Care System for COVID-19 Diagnostics. J Biomol Tech 2021; 32:221-227. [PMID: 35136383 PMCID: PMC8802758 DOI: 10.7171/jbt.21-3203-019] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Abstract
The COVID-19 pandemic has had a profound, detrimental effect on economies and societies worldwide. Where the pandemic has been controlled, extremely high rates of diagnostic testing for the SARS-CoV-2 virus have proven critical, enabling isolation of cases and contact tracing. Recently, diagnostic testing has been supplemented with wastewater measures to evaluate the degree to which communities have infections. Whereas much testing has been done through traditional, centralized, clinical, or environmental laboratory methods, point-of-care testing has proven successful in reducing time to result. As the pandemic progresses and becomes more broadly distributed, further decentralization of diagnostic testing will be helpful to mitigate its spread. This will be particularly both challenging and critical in settings with limited resources due to lack of medical infrastructure and expertise as well as requirements to return results quickly. In this article, we validate the tiny isothermal nucleic acid quantification system (TINY) and a novel loop-mediated isothermal amplification (LAMP)-based assay for the point-of-care diagnosis of SARS-CoV-2 infection in humans and also for in-the-field, point-of-collection surveillance of wastewater. The TINY system is portable and designed for use in settings with limited resources. It can be powered by electrical, solar, or thermal energy and is robust against interruptions in services. These applied testing examples demonstrate that this novel detection platform is a simpler procedure than reverse-transcription quantitative polymerase chain reaction, and moreover, this TINY instrument and LAMP assay combination has the potential to effectively provide both point-of-care diagnosis of individuals and point-of-collection environmental surveillance using wastewater.
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Affiliation(s)
- Christopher Mozsary
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, New York, USA
| | - Duncan McCloskey
- Meinig School of Biomedical Engineering, Cornell University, Ithaca, New York, USA
| | - Kristina M. Babler
- Department of Civil, Architectural, and Environmental Engineering, University of Miami, Coral Gables, Florida, USA
| | - Juan Boza
- Meinig School of Biomedical Engineering, Cornell University, Ithaca, New York, USA
| | - Daniel Butler
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, New York, USA
| | - Benjamin Currall
- Sylvester Comprehensive Cancer Center, Miller School of Medicine, University of Miami, Miami, Florida USA
| | - Sion Williams
- Sylvester Comprehensive Cancer Center, Miller School of Medicine, University of Miami, Miami, Florida USA
| | - Anne Wiley
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, USA
| | - Evan E. Afshin
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, New York, USA
| | - George S. Grills
- Sylvester Comprehensive Cancer Center, Miller School of Medicine, University of Miami, Miami, Florida USA
| | - Mark E. Sharkey
- Department of Medicine, University of Miami Miller School of Medicine, Miami, Florida USA
| | | | - Helena Solo-Gabriele
- Department of Civil, Architectural, and Environmental Engineering, University of Miami, Coral Gables, Florida, USA
| | - Yoslayma Cardentey
- Sylvester Comprehensive Cancer Center, Miller School of Medicine, University of Miami, Miami, Florida USA
| | - David Erickson
- Sibley School of Mechanical and Aerospace Engineering, Cornell University, Ithaca, New York, USA
- Division of Nutritional Sciences, Cornell University, Ithaca, New York, USA
| | - Christopher E. Mason
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, New York, USA
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11
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Moore KJM, Cahill J, Aidelberg G, Aronoff R, Bektaş A, Bezdan D, Butler DJ, Chittur SV, Codyre M, Federici F, Tanner NA, Tighe SW, True R, Ware SB, Wyllie AL, Afshin EE, Bendesky A, Chang CB, Dela Rosa R, Elhaik E, Erickson D, Goldsborough AS, Grills G, Hadasch K, Hayden A, Her SY, Karl JA, Kim CH, Kriegel AJ, Kunstman T, Landau Z, Land K, Langhorst BW, Lindner AB, Mayer BE, McLaughlin LA, McLaughlin MT, Molloy J, Mozsary C, Nadler JL, D'Silva M, Ng D, O'Connor DH, Ongerth JE, Osuolale O, Pinharanda A, Plenker D, Ranjan R, Rosbash M, Rotem A, Segarra J, Schürer S, Sherrill-Mix S, Solo-Gabriele H, To S, Vogt MC, Yu AD, Mason CE. Loop-Mediated Isothermal Amplification Detection of SARS-CoV-2 and Myriad Other Applications. J Biomol Tech 2021; 32:228-275. [PMID: 35136384 PMCID: PMC8802757 DOI: 10.7171/jbt.21-3203-017] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
As the second year of the COVID-19 pandemic begins, it remains clear that a massive increase in the ability to test for SARS-CoV-2 infections in a myriad of settings is critical to controlling the pandemic and to preparing for future outbreaks. The current gold standard for molecular diagnostics is the polymerase chain reaction (PCR), but the extraordinary and unmet demand for testing in a variety of environments means that both complementary and supplementary testing solutions are still needed. This review highlights the role that loop-mediated isothermal amplification (LAMP) has had in filling this global testing need, providing a faster and easier means of testing, and what it can do for future applications, pathogens, and the preparation for future outbreaks. This review describes the current state of the art for research of LAMP-based SARS-CoV-2 testing, as well as its implications for other pathogens and testing. The authors represent the global LAMP (gLAMP) Consortium, an international research collective, which has regularly met to share their experiences on LAMP deployment and best practices; sections are devoted to all aspects of LAMP testing, including preanalytic sample processing, target amplification, and amplicon detection, then the hardware and software required for deployment are discussed, and finally, a summary of the current regulatory landscape is provided. Included as well are a series of first-person accounts of LAMP method development and deployment. The final discussion section provides the reader with a distillation of the most validated testing methods and their paths to implementation. This review also aims to provide practical information and insight for a range of audiences: for a research audience, to help accelerate research through sharing of best practices; for an implementation audience, to help get testing up and running quickly; and for a public health, clinical, and policy audience, to help convey the breadth of the effect that LAMP methods have to offer.
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Affiliation(s)
- Keith J M Moore
- School of Science and Engineering, Ateneo de Manila University, Quezon City 1108, Philippines
| | | | - Guy Aidelberg
- Université de Paris, INSERM U1284, Center for Research and Interdisciplinarity (CRI), 75006 Paris, France
- Just One Giant Lab, Centre de Recherches Interdisciplinaires (CRI), 75004 Paris, France
| | - Rachel Aronoff
- Just One Giant Lab, Centre de Recherches Interdisciplinaires (CRI), 75004 Paris, France
- Action for Genomic Integrity Through Research! (AGiR!), Lausanne, Switzerland
- Association Hackuarium, Lausanne, Switzerland
| | - Ali Bektaş
- Oakland Genomics Center, Oakland, CA 94609, USA
| | - Daniela Bezdan
- Institute of Medical Genetics and Applied Genomics, University of Tübingen, 72076 Tübingen, Germany
- NGS Competence Center Tübingen (NCCT), University of Tübingen, 72076 Tübingen, Germany
- Poppy Health, Inc, San Francisco, CA 94158, USA
- Institute of Medical Virology and Epidemiology of Viral Diseases, University Hospital, 72076 Tübingen, Germany
| | - Daniel J Butler
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY 10065, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY 10065, USA
| | - Sridar V Chittur
- Center for Functional Genomics, Department of Biomedical Sciences, School of Public Health, University at Albany, State University of New York, Rensselaer, 12222, USA
| | - Martin Codyre
- GiantLeap Biotechnology Ltd, Wicklow A63 Kv91, Ireland
| | - Fernan Federici
- ANID, Millennium Science Initiative Program, Millennium Institute for Integrative Biology (iBio), Institute for Biological and Medical Engineering, Schools of Engineering, Biology and Medicine, Pontificia Universidad Católica de Chile, Santiago 8331150, Chile
| | | | | | - Randy True
- FloodLAMP Biotechnologies, San Carlos, CA 94070, USA
| | - Sarah B Ware
- Just One Giant Lab, Centre de Recherches Interdisciplinaires (CRI), 75004 Paris, France
- BioBlaze Community Bio Lab, 1800 W Hawthorne Ln, Ste J-1, West Chicago, IL 60185, USA
- Blossom Bio Lab, 1800 W Hawthorne Ln, Ste K-2, West Chicago, IL 60185, USA
| | - Anne L Wyllie
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT 06510, USA
| | - Evan E Afshin
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY 10065, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY 10065, USA
- The WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY 10065, USA
| | - Andres Bendesky
- Department of Ecology, Evolution and Environmental Biology, Columbia University, New York, NY 10027, USA
- Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY 10027, USA
| | - Connie B Chang
- Department of Chemical and Biological Engineering, Montana State University, Bozeman, 59717, USA
- Center for Biofilm Engineering, Montana State University, Bozeman, 59717, USA
| | - Richard Dela Rosa
- School of Science and Engineering, Ateneo de Manila University, Quezon City 1108, Philippines
| | - Eran Elhaik
- Department of Biology, Lund University, Sölvegatan 35, Lund, Sweden
| | - David Erickson
- Sibley School of Mechanical and Aerospace Engineering, Cornell University, Ithaca, NY 14850, USA
| | | | - George Grills
- Department of Microbiology, University of Pennsylvania, Philadelphia, 19104, USA
| | - Kathrin Hadasch
- Université de Paris, INSERM U1284, Center for Research and Interdisciplinarity (CRI), 75006 Paris, France
- Department of Biology, Membrane Biophysics, Technische Universität Darmstadt, 64289 Darmstadt, Germany
- Lab3 eV, Labspace Darmstadt, 64295 Darmstadt, Germany
- IANUS Verein für Friedensorientierte Technikgestaltung eV, 64289 Darmstadt, Germany
| | - Andrew Hayden
- Center for Functional Genomics, Department of Biomedical Sciences, School of Public Health, University at Albany, State University of New York, Rensselaer, 12222, USA
| | | | - Julie A Karl
- Department of Pathology and Laboratory Medicine, School of Medicine and Public Health, University of Wisconsin, Madison, Madison 53705, USA
| | | | | | | | - Zeph Landau
- Department of Computer Science, University of California, Berkeley, Berkeley, 94720, USA
| | - Kevin Land
- Mologic, Centre for Advanced Rapid Diagnostics, (CARD), Bedford Technology Park, Thurleigh MK44 2YA, England
- Department of Electrical, Electronic and Computer Engineering, University of Pretoria, 0028 Pretoria, South Africa
| | | | - Ariel B Lindner
- Université de Paris, INSERM U1284, Center for Research and Interdisciplinarity (CRI), 75006 Paris, France
| | - Benjamin E Mayer
- Department of Biology, Membrane Biophysics, Technische Universität Darmstadt, 64289 Darmstadt, Germany
- Lab3 eV, Labspace Darmstadt, 64295 Darmstadt, Germany
| | | | - Matthew T McLaughlin
- Department of Pathology and Laboratory Medicine, School of Medicine and Public Health, University of Wisconsin, Madison, Madison 53705, USA
| | - Jenny Molloy
- Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge CB3 0AS, England
| | - Christopher Mozsary
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY 10065, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY 10065, USA
| | - Jerry L Nadler
- Department of Pharmacology, New York Medical College, Valhalla, 10595, USA
| | - Melinee D'Silva
- Department of Pharmacology, New York Medical College, Valhalla, 10595, USA
| | - David Ng
- Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY 10027, USA
| | - David H O'Connor
- Department of Pathology and Laboratory Medicine, School of Medicine and Public Health, University of Wisconsin, Madison, Madison 53705, USA
| | - Jerry E Ongerth
- University of Wollongong, Environmental Engineering, Wollongong NSW 2522, Australia
| | - Olayinka Osuolale
- Applied Environmental Metagenomics and Infectious Diseases Research (AEMIDR), Department of Biological Sciences, Elizade University, Ilara Mokin, Nigeria
| | - Ana Pinharanda
- Department of Biological Sciences, Columbia University, New York, NY 10027, USA
| | - Dennis Plenker
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | - Ravi Ranjan
- Genomics Resource Laboratory, Institute for Applied Life Sciences, University of Massachusetts, Amherst, 01003, USA
| | - Michael Rosbash
- Howard Hughes Medical Institute and Department of Biology, Brandeis University, Waltham, MA 02453, USA
| | | | | | | | - Scott Sherrill-Mix
- Department of Microbiology, University of Pennsylvania, Philadelphia, 19104, USA
| | | | - Shaina To
- School of Science and Engineering, Ateneo de Manila University, Quezon City 1108, Philippines
| | - Merly C Vogt
- Department of Biological Sciences, Columbia University, New York, NY 10027, USA
| | - Albert D Yu
- Howard Hughes Medical Institute and Department of Biology, Brandeis University, Waltham, MA 02453, USA
| | - Christopher E Mason
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY 10065, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY 10065, USA
- The WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY 10065, USA
- The Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY 10065, USA
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12
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Danko D, Bezdan D, Afshin EE, Ahsanuddin S, Bhattacharya C, Butler DJ, Chng KR, Donnellan D, Hecht J, Jackson K, Kuchin K, Karasikov M, Lyons A, Mak L, Meleshko D, Mustafa H, Mutai B, Neches RY, Ng A, Nikolayeva O, Nikolayeva T, Png E, Ryon KA, Sanchez JL, Shaaban H, Sierra MA, Thomas D, Young B, Abudayyeh OO, Alicea J, Bhattacharyya M, Blekhman R, Castro-Nallar E, Cañas AM, Chatziefthimiou AD, Crawford RW, De Filippis F, Deng Y, Desnues C, Dias-Neto E, Dybwad M, Elhaik E, Ercolini D, Frolova A, Gankin D, Gootenberg JS, Graf AB, Green DC, Hajirasouliha I, Hastings JJA, Hernandez M, Iraola G, Jang S, Kahles A, Kelly FJ, Knights K, Kyrpides NC, Łabaj PP, Lee PKH, Leung MHY, Ljungdahl PO, Mason-Buck G, McGrath K, Meydan C, Mongodin EF, Moraes MO, Nagarajan N, Nieto-Caballero M, Noushmehr H, Oliveira M, Ossowski S, Osuolale OO, Özcan O, Paez-Espino D, Rascovan N, Richard H, Rätsch G, Schriml LM, Semmler T, Sezerman OU, Shi L, Shi T, Siam R, Song LH, Suzuki H, Court DS, Tighe SW, Tong X, Udekwu KI, Ugalde JA, Valentine B, Vassilev DI, Vayndorf EM, Velavan TP, Wu J, Zambrano MM, Zhu J, Zhu S, Mason CE. A global metagenomic map of urban microbiomes and antimicrobial resistance. Cell 2021; 184:3376-3393.e17. [PMID: 34043940 PMCID: PMC8238498 DOI: 10.1016/j.cell.2021.05.002] [Citation(s) in RCA: 129] [Impact Index Per Article: 43.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2020] [Revised: 03/05/2021] [Accepted: 04/29/2021] [Indexed: 01/14/2023]
Abstract
We present a global atlas of 4,728 metagenomic samples from mass-transit systems in 60 cities over 3 years, representing the first systematic, worldwide catalog of the urban microbial ecosystem. This atlas provides an annotated, geospatial profile of microbial strains, functional characteristics, antimicrobial resistance (AMR) markers, and genetic elements, including 10,928 viruses, 1,302 bacteria, 2 archaea, and 838,532 CRISPR arrays not found in reference databases. We identified 4,246 known species of urban microorganisms and a consistent set of 31 species found in 97% of samples that were distinct from human commensal organisms. Profiles of AMR genes varied widely in type and density across cities. Cities showed distinct microbial taxonomic signatures that were driven by climate and geographic differences. These results constitute a high-resolution global metagenomic atlas that enables discovery of organisms and genes, highlights potential public health and forensic applications, and provides a culture-independent view of AMR burden in cities.
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Affiliation(s)
- David Danko
- Weill Cornell Medicine, New York, NY, USA; The Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, New York, NY, USA
| | - Daniela Bezdan
- Weill Cornell Medicine, New York, NY, USA; The Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, New York, NY, USA; Institute of Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany; NGS Competence Center Tübingen (NCCT), University of Tübingen, Tübingen, Germany
| | - Evan E Afshin
- Weill Cornell Medicine, New York, NY, USA; The Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, New York, NY, USA
| | | | - Chandrima Bhattacharya
- Weill Cornell Medicine, New York, NY, USA; The Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, New York, NY, USA
| | - Daniel J Butler
- Weill Cornell Medicine, New York, NY, USA; The Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, New York, NY, USA
| | - Kern Rei Chng
- Genome Institute of Singapore, A(∗)STAR, Singapore, Singapore
| | - Daisy Donnellan
- Weill Cornell Medicine, New York, NY, USA; The Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, New York, NY, USA
| | - Jochen Hecht
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain
| | - Katelyn Jackson
- Weill Cornell Medicine, New York, NY, USA; The Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, New York, NY, USA
| | - Katerina Kuchin
- Weill Cornell Medicine, New York, NY, USA; The Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, New York, NY, USA
| | - Mikhail Karasikov
- ETH Zurich, Department of Computer Science, Biomedical Informatics Group, Zurich, Switzerland; University Hospital Zurich, Biomedical Informatics Research, Zurich, Switzerland; Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Abigail Lyons
- Weill Cornell Medicine, New York, NY, USA; The Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, New York, NY, USA
| | - Lauren Mak
- Weill Cornell Medicine, New York, NY, USA; The Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, New York, NY, USA
| | - Dmitry Meleshko
- Weill Cornell Medicine, New York, NY, USA; The Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, New York, NY, USA
| | - Harun Mustafa
- ETH Zurich, Department of Computer Science, Biomedical Informatics Group, Zurich, Switzerland; University Hospital Zurich, Biomedical Informatics Research, Zurich, Switzerland; Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Beth Mutai
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain; Kenya Medical Research Institute - Kisumu, Kisumu, Kenya
| | - Russell Y Neches
- Department of Energy, Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Amanda Ng
- Genome Institute of Singapore, A(∗)STAR, Singapore, Singapore
| | | | | | - Eileen Png
- Genome Institute of Singapore, A(∗)STAR, Singapore, Singapore
| | - Krista A Ryon
- Weill Cornell Medicine, New York, NY, USA; The Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, New York, NY, USA
| | - Jorge L Sanchez
- Weill Cornell Medicine, New York, NY, USA; The Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, New York, NY, USA
| | - Heba Shaaban
- Weill Cornell Medicine, New York, NY, USA; The Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, New York, NY, USA
| | - Maria A Sierra
- Weill Cornell Medicine, New York, NY, USA; The Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, New York, NY, USA
| | - Dominique Thomas
- Weill Cornell Medicine, New York, NY, USA; The Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, New York, NY, USA
| | - Ben Young
- Weill Cornell Medicine, New York, NY, USA; The Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, New York, NY, USA
| | - Omar O Abudayyeh
- Massachusetts Institute of Technology, McGovern Institute for Brain Research, Cambridge, MA, USA
| | - Josue Alicea
- Weill Cornell Medicine, New York, NY, USA; The Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, New York, NY, USA
| | - Malay Bhattacharyya
- Machine Intelligence Unit, Indian Statistical Institute, Kolkata, India; Centre for Artificial Intelligence and Machine Learning, Indian Statistical Institute, Kolkata, India
| | | | - Eduardo Castro-Nallar
- Universidad Andres Bello, Center for Bioinformatics and Integrative Biology, Facultad de Ciencias de la Vida, Santiago, Chile
| | - Ana M Cañas
- Weill Cornell Medicine, New York, NY, USA; The Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, New York, NY, USA
| | - Aspassia D Chatziefthimiou
- Weill Cornell Medicine, New York, NY, USA; The Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, New York, NY, USA
| | | | - Francesca De Filippis
- Department of Agricultural Sciences, Division of Microbiology, University of Naples Federico II, Naples, Italy; Task Force on Microbiome Studies, University of Naples Federico II, Naples, Italy
| | - Youping Deng
- University of Hawaii John A. Burns School of Medicine, Honolulu, HI, USA
| | - Christelle Desnues
- Aix-Marseille Université, Mediterranean Institute of Oceanology, Université de Toulon, CNRS, IRD, UM 110, Marseille, France
| | - Emmanuel Dias-Neto
- Medical Genomics group, A.C.Camargo Cancer Center, São Paulo - SP, Brazil
| | - Marius Dybwad
- Norwegian Defence Research Establishment FFI, Kjeller, Norway
| | - Eran Elhaik
- Department of Biology, Lund University, Lund, Sweden
| | - Danilo Ercolini
- Department of Agricultural Sciences, Division of Microbiology, University of Naples Federico II, Naples, Italy; Task Force on Microbiome Studies, University of Naples Federico II, Naples, Italy
| | - Alina Frolova
- Institute of Molecular Biology and Genetics of National Academy of Sciences of Ukraine, Kyiv, Ukraine; Kyiv Academic University, Kyiv, Ukraine
| | - Dennis Gankin
- Massachusetts Institute of Technology, McGovern Institute for Brain Research, Cambridge, MA, USA
| | - Jonathan S Gootenberg
- Massachusetts Institute of Technology, McGovern Institute for Brain Research, Cambridge, MA, USA
| | | | - David C Green
- Department of Analytical, Environmental and Forensic Sciences, King's College London, London, UK
| | - Iman Hajirasouliha
- Weill Cornell Medicine, New York, NY, USA; The Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, New York, NY, USA
| | - Jaden J A Hastings
- Weill Cornell Medicine, New York, NY, USA; The Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, New York, NY, USA
| | | | - Gregorio Iraola
- Microbial Genomics Laboratory, Institut Pasteur de Montevideo, Montevideo, Uruguay; Center for Integrative Biology, Universidad Mayor, Santiago de Chile, Santiago, Chile; Wellcome Sanger Institute, Hinxton, UK
| | | | - Andre Kahles
- ETH Zurich, Department of Computer Science, Biomedical Informatics Group, Zurich, Switzerland; Kyiv Academic University, Kyiv, Ukraine; C+, Research Center in Technologies for Society, School of Engineering, Universidad del Desarrollo, Santiago, Chile
| | - Frank J Kelly
- Department of Analytical, Environmental and Forensic Sciences, King's College London, London, UK
| | - Kaymisha Knights
- Weill Cornell Medicine, New York, NY, USA; The Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, New York, NY, USA
| | - Nikos C Kyrpides
- Department of Energy, Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Paweł P Łabaj
- State Key Laboratory of Genetic Engineering (SKLGE) and MOE Key Laboratory of Contemporary Anthropology, School of Life Sciences, Human Phenome Institute, Fudan University, Shanghai, China; Małopolska Centre of Biotechnology, Jagiellonian University, Kraków, Poland; Boku University Viennna, Vienna, Austria
| | - Patrick K H Lee
- School of Energy and Environment, City University of Hong Kong, Hong Kong SAR, China
| | - Marcus H Y Leung
- School of Energy and Environment, City University of Hong Kong, Hong Kong SAR, China
| | - Per O Ljungdahl
- Department of Molecular Biosciences, The Wenner-Gren Institute, Stockholm University, Stockholm, Sweden
| | - Gabriella Mason-Buck
- Department of Analytical, Environmental and Forensic Sciences, King's College London, London, UK
| | - Ken McGrath
- Microba, 388 Queen St, Brisbane City, QLD 4000, Australia
| | - Cem Meydan
- Weill Cornell Medicine, New York, NY, USA; The Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, New York, NY, USA
| | - Emmanuel F Mongodin
- University of Maryland School of Medicine, Institute for Genome Sciences, Baltimore, MD, USA
| | | | | | | | - Houtan Noushmehr
- University of São Paulo, Ribeirão Preto Medical School, Ribeirão Preto - SP, Brazil
| | - Manuela Oliveira
- Instituto de Patologia e Imunologia Molecular da Universidade do Porto, Porto, Portugal
| | - Stephan Ossowski
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain; Institute of Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany; NGS Competence Center Tübingen (NCCT), University of Tübingen, Tübingen, Germany
| | - Olayinka O Osuolale
- Applied Environmental Metagenomics and Infectious Diseases Research (AEMIDR), Department of Biological Sciences, Elizade University, Ilara-Mokin, Nigeria
| | - Orhan Özcan
- Acibadem Mehmet Ali Aydınlar University, Istanbul, Turkey
| | - David Paez-Espino
- Department of Energy, Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Nicolás Rascovan
- Microbial Paleogenomics Unit, Institut Pasteur, CNRS UMR2000, Paris 75015, France
| | - Hugues Richard
- Sorbonne University, Faculty of Science, Institute of Biology Paris-Seine, Laboratory of Computational and Quantitative Biology, Paris, France; Robert Koch Institute, Berlin, Germany
| | - Gunnar Rätsch
- ETH Zurich, Department of Computer Science, Biomedical Informatics Group, Zurich, Switzerland; University Hospital Zurich, Biomedical Informatics Research, Zurich, Switzerland; Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Lynn M Schriml
- University of Maryland School of Medicine, Institute for Genome Sciences, Baltimore, MD, USA
| | | | | | - Leming Shi
- Center for Pharmacogenomics, School of Life Sciences and Shanghai Cancer Center, Fudan University, Shanghai, China; State Key Laboratory of Genetic Engineering (SKLGE) and MOE Key Laboratory of Contemporary Anthropology, School of Life Sciences, Human Phenome Institute, Fudan University, Shanghai, China
| | - Tieliu Shi
- The Center for Bioinformatics and Computational Biology, Shanghai Key Laboratory of Regulatory Biology, the Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai, China
| | - Rania Siam
- University of Medicine and Health Sciences, St. Kitts, West Indies and American University in Cairo, Cairo, Egypt
| | - Le Huu Song
- 108 Military Central Hospital, Hanoi, Vietnam; Vietnamese-German Center for Medical Research (VG-CARE), Hanoi, Vietnam
| | | | - Denise Syndercombe Court
- Department of Analytical, Environmental and Forensic Sciences, King's College London, London, UK
| | | | - Xinzhao Tong
- School of Energy and Environment, City University of Hong Kong, Hong Kong SAR, China
| | - Klas I Udekwu
- Department of Molecular Biosciences, The Wenner-Gren Institute, Stockholm University, Stockholm, Sweden; SciLife EVP, Department of Aquatic Sciences Assessment, Swedish University of Agricultural Sciences, Uppsala, Sweden
| | - Juan A Ugalde
- Millennium Initiative for Collaborative Research on Bacterial Resistance, Santiago, Chile; C+, Research Center in Technologies for Society, School of Engineering, Universidad del Desarrollo, Santiago, Chile
| | - Brandon Valentine
- Weill Cornell Medicine, New York, NY, USA; The Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, New York, NY, USA
| | - Dimitar I Vassilev
- Faculty of Mathematics and Informatics, Sofia University "St. Kliment Ohridski," Sofia, Bulgaria
| | - Elena M Vayndorf
- Institute of Arctic Biology, University of Alaska, Fairbanks, Fairbanks, AK, USA
| | - Thirumalaisamy P Velavan
- Institute of Tropical Medicine, Univeristätsklinikum Tübingen, Tübingen, Germany; Faculty of Medicine, Duy Tan University, Da Nang, Vietnam
| | - Jun Wu
- The Center for Bioinformatics and Computational Biology, Shanghai Key Laboratory of Regulatory Biology, the Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai, China
| | | | - Jifeng Zhu
- Weill Cornell Medicine, New York, NY, USA; The Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, New York, NY, USA
| | - Sibo Zhu
- State Key Laboratory of Genetic Engineering (SKLGE) and MOE Key Laboratory of Contemporary Anthropology, School of Life Sciences, Human Phenome Institute, Fudan University, Shanghai, China; Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China
| | - Christopher E Mason
- Weill Cornell Medicine, New York, NY, USA; The Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, New York, NY, USA; The WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY, USA.
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