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Galanti M, Patiño-Galindo JA, Filip I, Morita H, Galianese A, Youssef M, Comito D, Ligon C, Lane B, Matienzo N, Ibrahim S, Tagne E, Shittu A, Elliott O, Perea-Chamblee T, Natesan S, Rosenbloom DS, Shaman J, Rabadan R. Virome Data Explorer: A web resource to longitudinally explore respiratory viral infections, their interactions with other pathogens and host transcriptomic changes in over 100 people. PLoS Biol 2024; 22:e3002089. [PMID: 38236818 PMCID: PMC10796020 DOI: 10.1371/journal.pbio.3002089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Accepted: 11/22/2023] [Indexed: 01/22/2024] Open
Abstract
Viral respiratory infections are an important public health concern due to their prevalence, transmissibility, and potential to cause serious disease. Disease severity is the product of several factors beyond the presence of the infectious agent, including specific host immune responses, host genetic makeup, and bacterial coinfections. To understand these interactions within natural infections, we designed a longitudinal cohort study actively surveilling respiratory viruses over the course of 19 months (2016 to 2018) in a diverse cohort in New York City. We integrated the molecular characterization of 800+ nasopharyngeal samples with clinical data from 104 participants. Transcriptomic data enabled the identification of respiratory pathogens in nasopharyngeal samples, the characterization of markers of immune response, the identification of signatures associated with symptom severity, individual viruses, and bacterial coinfections. Specific results include a rapid restoration of baseline conditions after infection, significant transcriptomic differences between symptomatic and asymptomatic infections, and qualitatively similar responses across different viruses. We created an interactive computational resource (Virome Data Explorer) to facilitate access to the data and visualization of analytical results.
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Affiliation(s)
- Marta Galanti
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York, United States of America
| | - Juan Angel Patiño-Galindo
- Program for Mathematical Genomics, Department of Systems Biology, Columbia University Irving Medical Center, New York, New York, United States of America
| | - Ioan Filip
- Program for Mathematical Genomics, Department of Systems Biology, Columbia University Irving Medical Center, New York, New York, United States of America
| | - Haruka Morita
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York, United States of America
| | - Angelica Galianese
- Program for Mathematical Genomics, Department of Systems Biology, Columbia University Irving Medical Center, New York, New York, United States of America
| | - Mariam Youssef
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York, United States of America
| | - Devon Comito
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York, United States of America
| | - Chanel Ligon
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York, United States of America
| | - Benjamin Lane
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York, United States of America
| | - Nelsa Matienzo
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York, United States of America
| | - Sadiat Ibrahim
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York, United States of America
| | - Eudosie Tagne
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York, United States of America
| | - Atinuke Shittu
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York, United States of America
| | - Oliver Elliott
- Program for Mathematical Genomics, Department of Systems Biology, Columbia University Irving Medical Center, New York, New York, United States of America
| | - Tomin Perea-Chamblee
- Program for Mathematical Genomics, Department of Systems Biology, Columbia University Irving Medical Center, New York, New York, United States of America
| | - Sanjay Natesan
- Program for Mathematical Genomics, Department of Systems Biology, Columbia University Irving Medical Center, New York, New York, United States of America
| | - Daniel Scholes Rosenbloom
- Program for Mathematical Genomics, Department of Systems Biology, Columbia University Irving Medical Center, New York, New York, United States of America
| | - Jeffrey Shaman
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York, United States of America
| | - Raul Rabadan
- Program for Mathematical Genomics, Department of Systems Biology, Columbia University Irving Medical Center, New York, New York, United States of America
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Jones MU, Montgomery AS, Coskun JD, Marcelo RZ, Sutton AB, Raiciulescu S. Comparing the Clinical Courses of Children With Human Rhinovirus/Enterovirus to Children With Other Respiratory Viruses in the Outpatient Setting. Pediatr Infect Dis J 2023; 42:e432-e439. [PMID: 37725805 DOI: 10.1097/inf.0000000000004097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 09/21/2023]
Abstract
BACKGROUND While infections caused by rhinoviruses and enteroviruses are common among children, the entirety of their clinical impact remains elusive. We compared the clinical outcomes of children with rhinovirus/enterovirus infections to other common respiratory viruses in outpatient settings. METHODS We conducted a retrospective analysis of nasopharyngeal samples singly positive for human rhinovirus/enterovirus (HRV/ENT), influenza A/B (FLU) or respiratory syncytial virus (RSV) from patients ≤17 years submitted for clinical testing via multiplex polymerase chain reaction between 2016 and 2019. We evaluated the following outpatient outcomes: days of respiratory symptoms before testing; visits for respiratory symptoms; receipt of a breathing treatment; receipt of antibiotics and hospital admission. Statistical analyses were conducted controlling for age and comorbid conditions. RESULTS There were 1355 positive samples included in this analysis (HRV/ENT: n = 743, FLU: n = 303 and RSV: n = 309). Compared to HRV/ENT, children with FLU had 28% fewer days of respiratory symptoms (β: -0.32; 95% confidence interval: -0.46 to -0.18; P < 0.001), fewer visits for respiratory symptoms, and significantly decreased odds of receiving a breathing treatment or antibiotics, and admission to the hospital. Children with RSV had a similar number of days of respiratory symptoms, outpatient visits and odds of hospital admission, but significantly increased odds of receiving a breathing treatment and antibiotics compared to those with HRV/ENT. CONCLUSION Clinicians should have a high level of vigilance when managing children with positive respiratory viral testing for HRV/ENT given the potential for clinical outcomes similar to and, in some instances, worse than known highly pathogenic viruses.
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Affiliation(s)
- Milissa U Jones
- From the Department of Pediatrics, Uniformed Services University of the Health Sciences, Bethesda, Maryland
- Department of Pediatrics, Tripler Army Medical Center, Honolulu, Hawaii
| | - Agnes S Montgomery
- From the Department of Pediatrics, Uniformed Services University of the Health Sciences, Bethesda, Maryland
- Department of Pediatrics, Children's National Hospital, Washington, DC
| | - Jennifer D Coskun
- Department of Pediatrics, Tripler Army Medical Center, Honolulu, Hawaii
| | | | - Alyssa B Sutton
- Department of Pediatrics, Tripler Army Medical Center, Honolulu, Hawaii
| | - Sorana Raiciulescu
- Department of Pediatrics, Uniformed Services University of the Health Sciences, Bethesda, Marylan
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Brink LR, Chichlowski M, Pastor N, Thimmasandra Narayanappa A, Shah N. In the Age of Viral Pandemic, Can Ingredients Inspired by Human Milk and Infant Nutrition Be Repurposed to Support the Immune System? Nutrients 2021; 13:870. [PMID: 33800961 PMCID: PMC7999376 DOI: 10.3390/nu13030870] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2021] [Revised: 02/27/2021] [Accepted: 03/01/2021] [Indexed: 12/14/2022] Open
Abstract
In 2020, with the advent of a pandemic touching all aspects of global life, there is a renewed interest in nutrition solutions to support the immune system. Infants are vulnerable to infection and breastfeeding has been demonstrated to provide protection. As such, human milk is a great model for sources of functional nutrition ingredients, which may play direct roles in protection against viral diseases. This review aims to summarize the literature around human milk (lactoferrin, milk fat globule membrane, osteopontin, glycerol monolaurate and human milk oligosaccharides) and infant nutrition (polyunsaturated fatty acids, probiotics and postbiotics) inspired ingredients for support against viral infections and the immune system more broadly. We believe that the application of these ingredients can span across all life stages and thus apply to both pediatric and adult nutrition. We highlight the opportunities for further research in this field to help provide tangible nutrition solutions to support one's immune system and fight against infections.
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Affiliation(s)
- Lauren R. Brink
- Medical and Scientific Affairs, Nutrition, Reckitt Benckiser, Evansville, IN 47721, USA; (M.C.); (N.P.)
| | - Maciej Chichlowski
- Medical and Scientific Affairs, Nutrition, Reckitt Benckiser, Evansville, IN 47721, USA; (M.C.); (N.P.)
| | - Nitida Pastor
- Medical and Scientific Affairs, Nutrition, Reckitt Benckiser, Evansville, IN 47721, USA; (M.C.); (N.P.)
| | | | - Neil Shah
- Medical and Scientific Affairs, Nutrition, Reckitt Benckiser, Slough SL1 3UH, UK;
- University College London, Great Ormond Street, London WC1N 3JH, UK
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Galanti M, Comito D, Ligon C, Lane B, Matienzo N, Ibrahim S, Shittu A, Tagne E, Birger R, Ud-Dean M, Filip I, Morita H, Rabadan R, Anthony S, Freyer GA, Dayan P, Shopsin B, Shaman J. Active surveillance documents rates of clinical care seeking due to respiratory illness. Influenza Other Respir Viruses 2020; 14:499-506. [PMID: 32415751 PMCID: PMC7276732 DOI: 10.1111/irv.12753] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2019] [Revised: 02/04/2020] [Accepted: 04/12/2020] [Indexed: 12/17/2022] Open
Abstract
Background Respiratory viral infections are a leading cause of disease worldwide. However, the overall community prevalence of infections has not been properly assessed, as standard surveillance is typically acquired passively among individuals seeking clinical care. Methods We conducted a prospective cohort study in which participants provided daily diaries and weekly nasopharyngeal specimens that were tested for respiratory viruses. These data were used to analyze healthcare seeking behavior, compared with cross‐sectional ED data and NYC surveillance reports, and used to evaluate biases of medically attended ILI as signal for population respiratory disease and infection. Results The likelihood of seeking medical attention was virus‐dependent: higher for influenza and metapneumovirus (19%‐20%), lower for coronavirus and RSV (4%), and 71% of individuals with self‐reported ILI did not seek care and half of medically attended symptomatic manifestations did not meet the criteria for ILI. Only 5% of cohort respiratory virus infections and 21% of influenza infections were medically attended and classifiable as ILI. We estimated 1 ILI event per person/year but multiple respiratory infections per year. Conclusion Standard, healthcare‐based respiratory surveillance has multiple limitations. Specifically, ILI is an incomplete metric for quantifying respiratory disease, viral respiratory infection, and influenza infection. The prevalence of respiratory viruses, as reported by standard, healthcare‐based surveillance, is skewed toward viruses producing more severe symptoms. Active, longitudinal studies are a helpful supplement to standard surveillance, can improve understanding of the overall circulation and burden of respiratory viruses, and can aid development of more robust measures for controlling the spread of these pathogens.
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Affiliation(s)
- Marta Galanti
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Devon Comito
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA.,Department of Integrative Biology, University of California, Berkeley, CA, USA
| | - Chanel Ligon
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Benjamin Lane
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Nelsa Matienzo
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Sadiat Ibrahim
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Atinuke Shittu
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Eudosie Tagne
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Ruthie Birger
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA.,Department of Epidemiology of Microbial Diseases, Yale School of Public Health, Yale University, New Haven, CT, USA.,The Earth Institute, Columbia University, New York, NY, USA
| | - Minhaz Ud-Dean
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Ioan Filip
- Department of Systems Biology, Columbia University, New York, NY, USA
| | - Haruka Morita
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Raul Rabadan
- Department of Systems Biology, Columbia University, New York, NY, USA
| | - Simon Anthony
- Department of Epidemiology, Columbia University, New York, NY, USA
| | - Greg A Freyer
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Peter Dayan
- Department of Pediatrics, Columbia University, New York, NY, USA
| | - Bo Shopsin
- Departments of Medicine and Microbiology, New York University School of Medicine, New York, NY, USA
| | - Jeffrey Shaman
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA
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