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Kitsios GD, Sayed K, Fitch A, Yang H, Britton N, Shah F, Bain W, Evankovich JW, Qin S, Wang X, Li K, Patel A, Zhang Y, Radder J, Dela Cruz C, Okin DA, Huang CY, Van Tyne D, Benos PV, Methé B, Lai P, Morris A, McVerry BJ. Longitudinal multicompartment characterization of host-microbiota interactions in patients with acute respiratory failure. Nat Commun 2024; 15:4708. [PMID: 38830853 PMCID: PMC11148165 DOI: 10.1038/s41467-024-48819-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Accepted: 05/13/2024] [Indexed: 06/05/2024] Open
Abstract
Critical illness can significantly alter the composition and function of the human microbiome, but few studies have examined these changes over time. Here, we conduct a comprehensive analysis of the oral, lung, and gut microbiota in 479 mechanically ventilated patients (223 females, 256 males) with acute respiratory failure. We use advanced DNA sequencing technologies, including Illumina amplicon sequencing (utilizing 16S and ITS rRNA genes for bacteria and fungi, respectively, in all sample types) and Nanopore metagenomics for lung microbiota. Our results reveal a progressive dysbiosis in all three body compartments, characterized by a reduction in microbial diversity, a decrease in beneficial anaerobes, and an increase in pathogens. We find that clinical factors, such as chronic obstructive pulmonary disease, immunosuppression, and antibiotic exposure, are associated with specific patterns of dysbiosis. Interestingly, unsupervised clustering of lung microbiota diversity and composition by 16S independently predicted survival and performed better than traditional clinical and host-response predictors. These observations are validated in two separate cohorts of COVID-19 patients, highlighting the potential of lung microbiota as valuable prognostic biomarkers in critical care. Understanding these microbiome changes during critical illness points to new opportunities for microbiota-targeted precision medicine interventions.
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Affiliation(s)
- Georgios D Kitsios
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
- Center for Medicine and the Microbiome, University of Pittsburgh, Pittsburgh, PA, USA.
| | - Khaled Sayed
- Department of Epidemiology, University of Florida, Gainesville, FL, USA
- Department of Electrical and Computer Engineering & Computer Science, University of New Haven, West Haven, CT, USA
| | - Adam Fitch
- Center for Medicine and the Microbiome, University of Pittsburgh, Pittsburgh, PA, USA
| | - Haopu Yang
- School of Medicine, Tsinghua University, Beijing, China
| | - Noel Britton
- Division of Pulmonary Critical Care Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MA, USA
| | - Faraaz Shah
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA, USA
- Veteran's Affairs Pittsburgh Healthcare System, Pittsburgh, PA, USA
| | - William Bain
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA, USA
- Veteran's Affairs Pittsburgh Healthcare System, Pittsburgh, PA, USA
| | - John W Evankovich
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Shulin Qin
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA, USA
- Center for Medicine and the Microbiome, University of Pittsburgh, Pittsburgh, PA, USA
| | - Xiaohong Wang
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA, USA
- Center for Medicine and the Microbiome, University of Pittsburgh, Pittsburgh, PA, USA
| | - Kelvin Li
- Center for Medicine and the Microbiome, University of Pittsburgh, Pittsburgh, PA, USA
| | - Asha Patel
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA, USA
- Center for Medicine and the Microbiome, University of Pittsburgh, Pittsburgh, PA, USA
| | - Yingze Zhang
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Josiah Radder
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA, USA
- Center for Medicine and the Microbiome, University of Pittsburgh, Pittsburgh, PA, USA
| | - Charles Dela Cruz
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Daniel A Okin
- Division of Pulmonary and Critical Care Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Ching-Ying Huang
- Division of Pulmonary and Critical Care Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Daria Van Tyne
- Division of Infectious Diseases, Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | | | - Barbara Methé
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA, USA
- Center for Medicine and the Microbiome, University of Pittsburgh, Pittsburgh, PA, USA
| | - Peggy Lai
- Division of Pulmonary and Critical Care Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Alison Morris
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA, USA
- Center for Medicine and the Microbiome, University of Pittsburgh, Pittsburgh, PA, USA
| | - Bryan J McVerry
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA, USA
- Center for Medicine and the Microbiome, University of Pittsburgh, Pittsburgh, PA, USA
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Grubelnik G, Korva M, Kogoj R, Polanc T, Mavrič M, Jevšnik Virant M, Uršič T, Keše D, Seme K, Petrovec M, Jereb M, Avšič-Županc T. Herpesviridae and Atypical Bacteria Co-Detections in Lower Respiratory Tract Samples of SARS-CoV-2-Positive Patients Admitted to an Intensive Care Unit. Microorganisms 2024; 12:714. [PMID: 38674658 PMCID: PMC11051806 DOI: 10.3390/microorganisms12040714] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2024] [Revised: 03/20/2024] [Accepted: 03/29/2024] [Indexed: 04/28/2024] Open
Abstract
Shortly after the emergence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), cases of viral, bacterial, and fungal coinfections in hospitalized patients became evident. This retrospective study investigates the prevalence of multiple pathogen co-detections in 1472 lower respiratory tract (LRT) samples from 229 SARS-CoV-2-positive patients treated in the largest intensive care unit (ICU) in Slovenia. In addition to SARS-CoV-2, (rt)RT-PCR tests were used to detect cytomegalovirus (CMV), Epstein-Barr virus (EBV), herpes simplex virus 1 (HSV-1), herpes simplex virus 2 (HSV-2), varicella zoster virus (VZV), and atypical bacteria: Chlamydia pneumoniae, Mycoplasma pneumoniae and Legionella pneumophila/spp. At least one co-detection was observed in 89.1% of patients. EBV, HSV-1, and CMV were the most common, with 74.7%, 58.1%, and 38.0% of positive patients, respectively. The median detection time of EBV, HSV-1, and CMV after initial SARS-CoV-2 confirmation was 11 to 20 days. Bronchoalveolar lavage (BAL) and tracheal aspirate (TA) samples showed equivalent performance for the detection of EBV, CMV, and HSV-1 in patients with both available samples. Our results indicate that SARS-CoV-2 infection could be a risk factor for latent herpesvirus reactivation, especially HSV-1, EBV, and CMV. However, additional studies are needed to elucidate the clinical importance of these findings.
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Affiliation(s)
- Gašper Grubelnik
- Institute of Microbiology and Immunology, Faculty of Medicine, University of Ljubljana, Zaloška Cesta 4, 1000 Ljubljana, Slovenia; (G.G.); (M.K.); (R.K.); (M.J.V.); (T.U.); (D.K.); (K.S.); (M.P.)
| | - Miša Korva
- Institute of Microbiology and Immunology, Faculty of Medicine, University of Ljubljana, Zaloška Cesta 4, 1000 Ljubljana, Slovenia; (G.G.); (M.K.); (R.K.); (M.J.V.); (T.U.); (D.K.); (K.S.); (M.P.)
| | - Rok Kogoj
- Institute of Microbiology and Immunology, Faculty of Medicine, University of Ljubljana, Zaloška Cesta 4, 1000 Ljubljana, Slovenia; (G.G.); (M.K.); (R.K.); (M.J.V.); (T.U.); (D.K.); (K.S.); (M.P.)
| | - Tina Polanc
- Institute of Microbiology and Immunology, Faculty of Medicine, University of Ljubljana, Zaloška Cesta 4, 1000 Ljubljana, Slovenia; (G.G.); (M.K.); (R.K.); (M.J.V.); (T.U.); (D.K.); (K.S.); (M.P.)
| | - Matej Mavrič
- Department of Infectious Diseases, Ljubljana University Medical Center, Japljeva Ulica 2, 1000 Ljubljana, Slovenia; (M.M.); (M.J.)
| | - Monika Jevšnik Virant
- Institute of Microbiology and Immunology, Faculty of Medicine, University of Ljubljana, Zaloška Cesta 4, 1000 Ljubljana, Slovenia; (G.G.); (M.K.); (R.K.); (M.J.V.); (T.U.); (D.K.); (K.S.); (M.P.)
| | - Tina Uršič
- Institute of Microbiology and Immunology, Faculty of Medicine, University of Ljubljana, Zaloška Cesta 4, 1000 Ljubljana, Slovenia; (G.G.); (M.K.); (R.K.); (M.J.V.); (T.U.); (D.K.); (K.S.); (M.P.)
| | - Darja Keše
- Institute of Microbiology and Immunology, Faculty of Medicine, University of Ljubljana, Zaloška Cesta 4, 1000 Ljubljana, Slovenia; (G.G.); (M.K.); (R.K.); (M.J.V.); (T.U.); (D.K.); (K.S.); (M.P.)
| | - Katja Seme
- Institute of Microbiology and Immunology, Faculty of Medicine, University of Ljubljana, Zaloška Cesta 4, 1000 Ljubljana, Slovenia; (G.G.); (M.K.); (R.K.); (M.J.V.); (T.U.); (D.K.); (K.S.); (M.P.)
| | - Miroslav Petrovec
- Institute of Microbiology and Immunology, Faculty of Medicine, University of Ljubljana, Zaloška Cesta 4, 1000 Ljubljana, Slovenia; (G.G.); (M.K.); (R.K.); (M.J.V.); (T.U.); (D.K.); (K.S.); (M.P.)
| | - Matjaž Jereb
- Department of Infectious Diseases, Ljubljana University Medical Center, Japljeva Ulica 2, 1000 Ljubljana, Slovenia; (M.M.); (M.J.)
- Faculty of Medicine, University of Ljubljana, Vrazov Trg 2, 1000 Ljubljana, Slovenia
| | - Tatjana Avšič-Županc
- Institute of Microbiology and Immunology, Faculty of Medicine, University of Ljubljana, Zaloška Cesta 4, 1000 Ljubljana, Slovenia; (G.G.); (M.K.); (R.K.); (M.J.V.); (T.U.); (D.K.); (K.S.); (M.P.)
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Mikacenic C, Fussner LA, Simpson AJ, Singer BD, Files DC. Reply: Research Bronchoscopy Standards and the Need for Noninvasive Sampling of the Failing Lungs. Ann Am Thorac Soc 2024; 21:184-185. [PMID: 37776284 PMCID: PMC10867905 DOI: 10.1513/annalsats.202309-811le] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2023] [Accepted: 09/29/2023] [Indexed: 10/02/2023] Open
Affiliation(s)
| | | | - A. John Simpson
- Newcastle UniversityNewcastle upon Tyne, United Kingdom
- Newcastle upon Tyne Hospitals National Health Service Foundation TrustNewcastle upon Tyne, United Kingdom
| | | | - D. Clark Files
- Wake Forest School of MedicineWinston-Salem, North Carolina
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Bustos IG, Martín-Loeches I, Acosta-González A, Chotirmall SH, Dickson RP, Reyes LF. Exploring the complex relationship between the lung microbiome and ventilator-associated pneumonia. Expert Rev Respir Med 2023; 17:889-901. [PMID: 37872770 DOI: 10.1080/17476348.2023.2273424] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Accepted: 10/17/2023] [Indexed: 10/25/2023]
Abstract
INTRODUCTION Understanding the presence and function of a diverse lung microbiome in acute lung infections, particularly ventilator-associated pneumonia (VAP), is still limited, evidencing significant gaps in our knowledge. AREAS COVERED In this comprehensive narrative review, we aim to elucidate the contribution of the respiratory microbiome in the development of VAP by examining the current knowledge on the interactions among microorganisms. By exploring these intricate connections, we endeavor to enhance our understanding of the disease's pathophysiology and pave the way for novel ideas and interventions in studying the respiratory tract microbiome. EXPERT OPINION The conventional perception of lungs as sterile is deprecated since it is currently recognized the existence of a diverse microbial community within them. However, despite extensive research on the role of the respiratory microbiome in healthy lungs, respiratory chronic diseases and acute lung infections such as pneumonia are not fully understood. It is crucial to investigate further the relationship between the pathophysiology of VAP and the pulmonary microbiome, elucidating the mechanisms underlying the interactions between the microbiome, host immune response and mechanical ventilation for the development of VAP.
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Affiliation(s)
- Ingrid G Bustos
- Unisabana Center for Translational Science, School of Medicine, Universidad de La Sabana, Chia, Colombia
- Doctorado de Biociencias, Department of Engineering, Universidad de la Sabana, Chia, Colombia
| | - Ignacio Martín-Loeches
- Multidisciplinary Intensive Care Research Organization (MICRO), St James's Hospital, Dublin, Ireland
| | - Alejandro Acosta-González
- Unisabana Center for Translational Science, School of Medicine, Universidad de La Sabana, Chia, Colombia
- Bioprospection Research Group (GIBP), Department of Engineering, Universidad de La Sabana, Chia, Colombia
| | - Sanjay H Chotirmall
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
- Department of Respiratory and Critical Care Medicine, Tan Tock Seng Hospital, Singapore, Singapore
| | - Robert P Dickson
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, University of Michigan Health System, Ann Arbor, MI, USA
- Department of Microbiology and Immunology, University of Michigan Medical School, Ann Arbor, MI, USA
- Weil Institute for Critical Care Research & Innovation, Ann Arbor, MI, USA
| | - Luis Felipe Reyes
- Unisabana Center for Translational Science, School of Medicine, Universidad de La Sabana, Chia, Colombia
- Critical Care Department, Clinica Universidad de La Sabana, Chia, Colombia
- Pandemic Sciences Institute, University of Oxford, Oxford, UK
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Bao R, Mei Q, Yang T, Zhang L, Zhu C, Fan X, Wang Y, Tong F, He Y, Fang X, Geng S, Yang Y, Sheng X, Pan A. Comparison of endotracheal aspirate and bronchoalveolar lavage fluid metagenomic next-generation sequencing in severe pneumonia: a nested, matched case-control study. BMC Infect Dis 2023; 23:389. [PMID: 37303052 DOI: 10.1186/s12879-023-08376-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2022] [Accepted: 06/06/2023] [Indexed: 06/13/2023] Open
Abstract
OBJECTIVES To compare clinical outcomes in patients with severe pneumonia according to the diagnostic strategy used. METHODS In this retrospective, nested, case-control study, patients with severe pneumonia who had undergone endotracheal aspirate (ETA) metagenomic next-generation sequencing of (mNGS) testing (n = 53) were matched at a ratio of 1 to 2 (n = 106) by sex, age, underlying diseases, immune status, disease severity scores, and type of pneumonia with patients who had undergone bronchoalveolar lavage fluid (BALF) mNGS. The microbiological characteristics and patient's prognosis of the two groups were compared. RESULTS An overall comparison between the two groups showed no significant differences in bacterial, fungal, viral, or mixed infections. However, subgroup analysis of 18 patients who received paired ETA and BALF mNGS showed a complete agreement rate for the two specimens of 33.3%. There were more cases for whom targeted treatment was initiated (36.79% vs. 22.64%; P = 0.043) and fewer cases who received no clinical benefit after mNGS (5.66% vs. 15.09%; P = 0.048) in the BALF group. The pneumonia improvement rate in the BALF group was significantly higher than in the ETA group (73.58% vs. 87.74%, P = 0.024). However, there were no significant differences in ICU mortality or 28-day mortality. CONCLUSIONS We do not recommend using ETA mNGS as the first-choice method for analyzing airway pathogenic specimens from severe pneumonia patients.
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Affiliation(s)
- Renren Bao
- Department of Critical Care Medicine, The Affiliated Provincial Hospital of Anhui Medical University, Hefei, 230001, Anhui, China
| | - Qing Mei
- Department of Critical Care Medicine, Division of Life Sciences and Medicine, The First Affiliated Hospital of USTC, University of Science and Technology of China, Hefei, 230001, Anhui, China.
| | - Tianjun Yang
- Department of Critical Care Medicine, Division of Life Sciences and Medicine, The First Affiliated Hospital of USTC, University of Science and Technology of China, Hefei, 230001, Anhui, China
| | - Lei Zhang
- Department of Critical Care Medicine, Division of Life Sciences and Medicine, The First Affiliated Hospital of USTC, University of Science and Technology of China, Hefei, 230001, Anhui, China
| | - Chunyan Zhu
- Department of Critical Care Medicine, Division of Life Sciences and Medicine, The First Affiliated Hospital of USTC, University of Science and Technology of China, Hefei, 230001, Anhui, China
| | - Xiaoqin Fan
- Department of Critical Care Medicine, Division of Life Sciences and Medicine, The First Affiliated Hospital of USTC, University of Science and Technology of China, Hefei, 230001, Anhui, China
| | - Yinzhong Wang
- Department of Critical Care Medicine, Division of Life Sciences and Medicine, The First Affiliated Hospital of USTC, University of Science and Technology of China, Hefei, 230001, Anhui, China
| | - Fei Tong
- Department of Critical Care Medicine, Division of Life Sciences and Medicine, The First Affiliated Hospital of USTC, University of Science and Technology of China, Hefei, 230001, Anhui, China
| | - Yuxi He
- Department of Critical Care Medicine, Division of Life Sciences and Medicine, The First Affiliated Hospital of USTC, University of Science and Technology of China, Hefei, 230001, Anhui, China
| | - Xiaowei Fang
- Department of Critical Care Medicine, Division of Life Sciences and Medicine, The First Affiliated Hospital of USTC, University of Science and Technology of China, Hefei, 230001, Anhui, China
| | - Shike Geng
- Department of Critical Care Medicine, The Affiliated Provincial Hospital of Anhui Medical University, Hefei, 230001, Anhui, China
| | - Yu Yang
- Department of Critical Care Medicine, The Affiliated Provincial Hospital of Anhui Medical University, Hefei, 230001, Anhui, China
| | - Ximei Sheng
- WanNan Medical College, Wuhu, 241002, Anhui, China
| | - Aijun Pan
- Department of Critical Care Medicine, The Affiliated Provincial Hospital of Anhui Medical University, Hefei, 230001, Anhui, China.
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Mick E, Tsitsiklis A, Kamm J, Kalantar KL, Caldera S, Lyden A, Tan M, Detweiler AM, Neff N, Osborne CM, Williamson KM, Soesanto V, Leroue M, Maddux AB, Simões EA, Carpenter TC, Wagner BD, DeRisi JL, Ambroggio L, Mourani PM, Langelier CR. Integrated host/microbe metagenomics enables accurate lower respiratory tract infection diagnosis in critically ill children. J Clin Invest 2023; 133:e165904. [PMID: 37009900 PMCID: PMC10065066 DOI: 10.1172/jci165904] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Accepted: 02/02/2023] [Indexed: 04/04/2023] Open
Abstract
BACKGROUNDLower respiratory tract infection (LRTI) is a leading cause of death in children worldwide. LRTI diagnosis is challenging because noninfectious respiratory illnesses appear clinically similar and because existing microbiologic tests are often falsely negative or detect incidentally carried microbes, resulting in antimicrobial overuse and adverse outcomes. Lower airway metagenomics has the potential to detect host and microbial signatures of LRTI. Whether it can be applied at scale and in a pediatric population to enable improved diagnosis and treatment remains unclear.METHODSWe used tracheal aspirate RNA-Seq to profile host gene expression and respiratory microbiota in 261 children with acute respiratory failure. We developed a gene expression classifier for LRTI by training on patients with an established diagnosis of LRTI (n = 117) or of noninfectious respiratory failure (n = 50). We then developed a classifier that integrates the host LRTI probability, abundance of respiratory viruses, and dominance in the lung microbiome of bacteria/fungi considered pathogenic by a rules-based algorithm.RESULTSThe host classifier achieved a median AUC of 0.967 by cross-validation, driven by activation markers of T cells, alveolar macrophages, and the interferon response. The integrated classifier achieved a median AUC of 0.986 and increased the confidence of patient classifications. When applied to patients with an uncertain diagnosis (n = 94), the integrated classifier indicated LRTI in 52% of cases and nominated likely causal pathogens in 98% of those.CONCLUSIONLower airway metagenomics enables accurate LRTI diagnosis and pathogen identification in a heterogeneous cohort of critically ill children through integration of host, pathogen, and microbiome features.FUNDINGSupport for this study was provided by the Eunice Kennedy Shriver National Institute of Child Health and Human Development and the National Heart, Lung, and Blood Institute (UG1HD083171, 1R01HL124103, UG1HD049983, UG01HD049934, UG1HD083170, UG1HD050096, UG1HD63108, UG1HD083116, UG1HD083166, UG1HD049981, K23HL138461, and 5R01HL155418) as well as by the Chan Zuckerberg Biohub.
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Affiliation(s)
- Eran Mick
- Chan Zuckerberg Biohub, San Francisco, California, USA
- Division of Pulmonary, Critical Care, Allergy and Sleep Medicine, Department of Medicine, and
- Division of Infectious Diseases, Department of Medicine, University of California, San Francisco, San Francisco, California, USA
| | - Alexandra Tsitsiklis
- Division of Infectious Diseases, Department of Medicine, University of California, San Francisco, San Francisco, California, USA
| | - Jack Kamm
- Chan Zuckerberg Biohub, San Francisco, California, USA
| | | | - Saharai Caldera
- Chan Zuckerberg Biohub, San Francisco, California, USA
- Division of Infectious Diseases, Department of Medicine, University of California, San Francisco, San Francisco, California, USA
| | - Amy Lyden
- Chan Zuckerberg Biohub, San Francisco, California, USA
| | - Michelle Tan
- Chan Zuckerberg Biohub, San Francisco, California, USA
| | | | - Norma Neff
- Chan Zuckerberg Biohub, San Francisco, California, USA
| | - Christina M. Osborne
- Department of Pediatrics, University of Colorado and Children’s Hospital Colorado, Aurora, Colorado, USA
| | - Kayla M. Williamson
- Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado, Aurora, Colorado, USA
| | - Victoria Soesanto
- Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado, Aurora, Colorado, USA
| | - Matthew Leroue
- Department of Pediatrics, University of Colorado and Children’s Hospital Colorado, Aurora, Colorado, USA
| | - Aline B. Maddux
- Department of Pediatrics, University of Colorado and Children’s Hospital Colorado, Aurora, Colorado, USA
| | - Eric A.F. Simões
- Department of Pediatrics, University of Colorado and Children’s Hospital Colorado, Aurora, Colorado, USA
| | - Todd C. Carpenter
- Department of Pediatrics, University of Colorado and Children’s Hospital Colorado, Aurora, Colorado, USA
| | - Brandie D. Wagner
- Department of Pediatrics, University of Colorado and Children’s Hospital Colorado, Aurora, Colorado, USA
- Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado, Aurora, Colorado, USA
| | - Joseph L. DeRisi
- Chan Zuckerberg Biohub, San Francisco, California, USA
- Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, California, USA
| | - Lilliam Ambroggio
- Department of Pediatrics, University of Colorado and Children’s Hospital Colorado, Aurora, Colorado, USA
| | - Peter M. Mourani
- Department of Pediatrics, University of Colorado and Children’s Hospital Colorado, Aurora, Colorado, USA
- Department of Pediatrics, University of Arkansas for Medical Sciences and Arkansas Children’s Research Institute, Little Rock, Arkansas, USA
| | - Charles R. Langelier
- Chan Zuckerberg Biohub, San Francisco, California, USA
- Division of Infectious Diseases, Department of Medicine, University of California, San Francisco, San Francisco, California, USA
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Evaluation of extraction and enrichment methods for recovery of respiratory RNA viruses in a metagenomics approach. J Virol Methods 2023; 314:114677. [PMID: 36657602 PMCID: PMC10009504 DOI: 10.1016/j.jviromet.2023.114677] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Revised: 01/09/2023] [Accepted: 01/14/2023] [Indexed: 01/18/2023]
Abstract
Viral metagenomics is increasingly applied in viral detection and virome characterization. Different extraction and enrichment techniques may be adopted, however, reports on their effective influence on viral recovery is often conflicting. Using a three step enrichment steps, the effect of three extraction kits and the influence of DNase treatment with or without rRNA removal for respiratory RNA virus recovery from nasopharyngeal swab samples was evaluated. The viral cocktail containing six different RNA viruses pooled in equal volume were subjected to the different extraction and enrichment methods, sequenced using the Illumina MiSeq, and analysed using Genome Detective. The PureLink® Viral RNA/DNA Mini Kit (PureLink) was highly efficient with better recovery of all the viral agents in the cocktail. The use of rRNA treatment resulted in increased viral recovery with PureLink and QIAamp® Viral RNA Mini kit, while having comparable recovery rate as DNase only with the QIAamp® MinElute Virus Spin Kit. The observed low reads and genome coverage of some of the viruses could be attributed to their low abundance. Depending on sample matrix, extraction choice and enrichment strategy may influence recovery of respiratory RNA virus in metagenomics studies, therefore individual evaluation and adoption may be necessary for a robust result.
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Zhang C, Liu T, Wang Y, Chen W, Liu J, Tao J, Zhang Z, Zhu X, Zhang Z, Ming M, Wang M, Lu G, Yan G. Metagenomic next-generation sequencing of bronchoalveolar lavage fluid from children with severe pneumonia in pediatric intensive care unit. Front Cell Infect Microbiol 2023; 13:1082925. [PMID: 37009495 PMCID: PMC10064343 DOI: 10.3389/fcimb.2023.1082925] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Accepted: 01/11/2023] [Indexed: 03/19/2023] Open
Abstract
BackgroundSevere pneumonia due to lower respiratory tract infections (LRTIs) is a significant cause of morbidity and mortality in children. Noninfectious respiratory syndromes resembling LRTIs can complicate the diagnosis and may also make targeted therapy difficult because of the difficulty of identifying LRTI pathogens. In the present study, a highly sensitive metagenomic next-generation sequencing (mNGS) approach was used to characterize the microbiome of bronchoalveolar lavage fluid (BALF) in children with severe lower pneumonia and identify pathogenic microorganisms that may cause severe pneumonia. The purpose of this study was to use mNGS to explore the potential microbiomes of children with severe pneumonia in a PICU.MethodsWe enrolled patients meeting diagnostic criteria for severe pneumonia admitted at PICU of the Children’s Hospital of Fudan University, China, from February 2018 to February 2020. In total, 126 BALF samples were collected, and mNGS was performed at the DNA and/or RNA level. The pathogenic microorganisms in BALF were identified and correlated with serological inflammatory indicators, lymphocyte subtypes, and clinical symptoms.ResultsmNGS of BALF identified potentially pathogenic bacteria in children with severe pneumonia in the PICU. An increased BALF bacterial diversity index was positively correlated with serum inflammatory indicators and lymphocyte subtypes. Children with severe pneumonia in the PICU had the potential for coinfection with viruses including Epstein–Barr virus, Cytomegalovirus, and Human betaherpesvirus 6B, the abundance of which was positively correlated with immunodeficiency and pneumonia severity, suggesting that the virus may be reactivated in children in the PICU. There was also the potential for coinfection with fungal pathogens including Pneumocystis jirovecii and Aspergillus fumigatus in children with severe pneumonia in the PICU, and an increase in potentially pathogenic eukaryotic diversity in BALF was positively associated with the occurrence of death and sepsis.ConclusionsmNGS can be used for clinical microbiological testing of BALF samples from children in the PICU. Bacterial combined with viral or fungal infections may be present in the BALF of patients with severe pneumonia in the PICU. Viral or fungal infections are associated with greater disease severity and death.
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Affiliation(s)
- Caiyan Zhang
- Paediatric Intensive Care Unit, Children’s Hospital of Fudan University, Shanghai, China
| | - Tingyan Liu
- Paediatric Intensive Care Unit, Children’s Hospital of Fudan University, Shanghai, China
| | - Yixue Wang
- Paediatric Intensive Care Unit, Children’s Hospital of Fudan University, Shanghai, China
| | - Weiming Chen
- Paediatric Intensive Care Unit, Children’s Hospital of Fudan University, Shanghai, China
| | - Jing Liu
- Paediatric Intensive Care Unit, Children’s Hospital of Fudan University, Shanghai, China
| | - Jinhao Tao
- Paediatric Intensive Care Unit, Children’s Hospital of Fudan University, Shanghai, China
| | - Zhengzheng Zhang
- Paediatric Intensive Care Unit, Children’s Hospital of Fudan University, Shanghai, China
| | - Xuemei Zhu
- Paediatric Intensive Care Unit, Children’s Hospital of Fudan University, Shanghai, China
| | - Zhenyu Zhang
- Paediatric Intensive Care Unit, Children’s Hospital of Fudan University, Shanghai, China
| | - Meixiu Ming
- Paediatric Intensive Care Unit, Children’s Hospital of Fudan University, Shanghai, China
| | - Mingbang Wang
- Shanghai Key Laboratory of Birth Defects, Division of Neonatology, Children’s Hospital of Fudan University, National Center for Children’s Health, Shanghai, China
- Microbiome Therapy Center, South China Hospital, Medical School, Shenzhen University, Shenzhen, China
- *Correspondence: Gangfeng Yan, ; Guoping Lu, ; Mingbang Wang,
| | - Guoping Lu
- Paediatric Intensive Care Unit, Children’s Hospital of Fudan University, Shanghai, China
- *Correspondence: Gangfeng Yan, ; Guoping Lu, ; Mingbang Wang,
| | - Gangfeng Yan
- Paediatric Intensive Care Unit, Children’s Hospital of Fudan University, Shanghai, China
- *Correspondence: Gangfeng Yan, ; Guoping Lu, ; Mingbang Wang,
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9
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Zhang J, Wu Y, Liu J, Yang Y, Li H, Wu X, Zheng X, Liang Y, Tu C, Chen M, Tan C, Chang B, Huang Y, Wang Z, Tian G, Ding T. Differential Oral Microbial Input Determines Two Microbiota Pneumo-Types Associated with Health Status. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2022; 9:e2203115. [PMID: 36031410 PMCID: PMC9661847 DOI: 10.1002/advs.202203115] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Revised: 08/02/2022] [Indexed: 05/09/2023]
Abstract
The oral and upper respiratory tracts are closely linked anatomically and physiologically with the lower respiratory tract and lungs, and the influence of oral and upper respiratory microbes on the lung microbiota is increasingly being recognized. However, the ecological process and individual heterogeneity of the oral and upper respiratory tract microbes shaping the lung microbiota remain unclear owing to the lack of controlled analyses with sufficient sample sizes. Here, the microbiomes of saliva, nasal cavity, oropharyngeal area, and bronchoalveolar lavage samples are profiled and the shaping process of multisource microbes on the lung microbiota is measured. It is found that oral and nasal microbial inputs jointly shape the lung microbiota by occupying different ecological niches. It is also observed that the spread of oral microbes to the lungs is heterogeneous, with more oral microbes entering the lungs being associated with decreased lung function and increased lung proinflammatory cytokines. These results depict the external shaping process of lung microbiota and indicate the great value of oral samples, such as saliva, in monitoring and assessing lung microbiota status in clinical settings.
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Affiliation(s)
- Jingxiang Zhang
- Department of Immunology and MicrobiologyZhongshan School of MedicineSun Yat‐sen UniversityGuangzhou510080China
- Key Laboratory of Tropical Diseases Control (Sun Yat‐sen University)Ministry of EducationGuangzhou510080China
| | - Yiping Wu
- Department of Immunology and MicrobiologyZhongshan School of MedicineSun Yat‐sen UniversityGuangzhou510080China
- Key Laboratory of Tropical Diseases Control (Sun Yat‐sen University)Ministry of EducationGuangzhou510080China
| | - Jing Liu
- Department of Respiratory MedicineThe Fifth Affiliated Hospital of Sun Yat‐sen UniversityZhuhai519000China
| | - Yongqiang Yang
- Department of Immunology and MicrobiologyZhongshan School of MedicineSun Yat‐sen UniversityGuangzhou510080China
- Key Laboratory of Tropical Diseases Control (Sun Yat‐sen University)Ministry of EducationGuangzhou510080China
| | - Hui Li
- Department of Immunology and MicrobiologyZhongshan School of MedicineSun Yat‐sen UniversityGuangzhou510080China
- Key Laboratory of Tropical Diseases Control (Sun Yat‐sen University)Ministry of EducationGuangzhou510080China
| | - Xiaorong Wu
- Department of Immunology and MicrobiologyZhongshan School of MedicineSun Yat‐sen UniversityGuangzhou510080China
- Key Laboratory of Tropical Diseases Control (Sun Yat‐sen University)Ministry of EducationGuangzhou510080China
| | - Xiaobin Zheng
- Department of Respiratory MedicineThe Fifth Affiliated Hospital of Sun Yat‐sen UniversityZhuhai519000China
| | - Yingjian Liang
- Department of Respiratory MedicineThe Fifth Affiliated Hospital of Sun Yat‐sen UniversityZhuhai519000China
| | - Changli Tu
- Department of Respiratory MedicineThe Fifth Affiliated Hospital of Sun Yat‐sen UniversityZhuhai519000China
| | - Meizhu Chen
- Department of Respiratory MedicineThe Fifth Affiliated Hospital of Sun Yat‐sen UniversityZhuhai519000China
| | - Cuiyan Tan
- Department of Respiratory MedicineThe Fifth Affiliated Hospital of Sun Yat‐sen UniversityZhuhai519000China
| | - Bozhen Chang
- Department of Immunology and MicrobiologyZhongshan School of MedicineSun Yat‐sen UniversityGuangzhou510080China
- Key Laboratory of Tropical Diseases Control (Sun Yat‐sen University)Ministry of EducationGuangzhou510080China
| | - Yiying Huang
- Department of Respiratory MedicineThe Fifth Affiliated Hospital of Sun Yat‐sen UniversityZhuhai519000China
| | - Zhengguo Wang
- Department of Respiratory MedicineThe Fifth Affiliated Hospital of Sun Yat‐sen UniversityZhuhai519000China
| | - Guo‐Bao Tian
- Department of Immunology and MicrobiologyZhongshan School of MedicineSun Yat‐sen UniversityGuangzhou510080China
- Key Laboratory of Tropical Diseases Control (Sun Yat‐sen University)Ministry of EducationGuangzhou510080China
- School of MedicineXizang Minzu UniversityXianyangShaanxi712082China
| | - Tao Ding
- Department of Immunology and MicrobiologyZhongshan School of MedicineSun Yat‐sen UniversityGuangzhou510080China
- Key Laboratory of Tropical Diseases Control (Sun Yat‐sen University)Ministry of EducationGuangzhou510080China
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10
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Chen Y, Fan L, Chai Y, Xu J. Advantages and challenges of metagenomic sequencing for the diagnosis of pulmonary infectious diseases. THE CLINICAL RESPIRATORY JOURNAL 2022; 16:646-656. [PMID: 36068680 PMCID: PMC9527156 DOI: 10.1111/crj.13538] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/12/2021] [Revised: 07/18/2022] [Accepted: 08/15/2022] [Indexed: 11/28/2022]
Abstract
Objective We aim to familiarize the application status of metagenomic sequencing in diagnosing pulmonary infections, to compare metagenomic sequencing with traditional diagnostic methods, to conclude the advantages and limitations of metagenomic sequencing, and to provide some advice for clinical practice and some inspiration for associated researches. Data Sources The data were obtained from peer‐reviewed literature, white papers, and meeting reports. Results This review focused on the applications of untargeted metagenomic sequencing in lungs infected by bacteria, viruses, fungi, chlamydia pneumoniae, Mycoplasma pneumoniae, parasites, and other pathogens. Compared with conventional diagnostic methods, metagenomic sequencing is better in detecting novel, rare, and unexpected pathogens and being applied in co‐infections. Meanwhile, it can also provide more comprehensive information about pathogens. However, metagenomic sequencing still has limitations. Also, the situations that should be applied in and how the results should be interpreted are discussed in this review. Conclusion Metagenomic sequencing improves efficiency to identify pathogens compared with traditional diagnostic methods and can be applied in clinical diagnosis. However, the technology of metagenomic sequencing still needs to be improved. Also, clinicians should learn more about when to use metagenomic sequencing and how to interpret its results.
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Affiliation(s)
- Yan Chen
- Department of Respiratory and Critical Care Medicine, Shanghai Pulmonary Hospital, Institute of Respiratory Medicine Tongji University School of Medicine Shanghai China
| | - Li‐Chao Fan
- Department of Respiratory and Critical Care Medicine, Shanghai Pulmonary Hospital, Institute of Respiratory Medicine Tongji University School of Medicine Shanghai China
| | - Yan‐Hua Chai
- Department of Respiratory and Critical Care Medicine, Shanghai Pulmonary Hospital, Institute of Respiratory Medicine Tongji University School of Medicine Shanghai China
| | - Jin‐Fu Xu
- Department of Respiratory and Critical Care Medicine, Shanghai Pulmonary Hospital, Institute of Respiratory Medicine Tongji University School of Medicine Shanghai China
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11
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Yi X, Gao J, Wang Z. The human lung microbiome-A hidden link between microbes and human health and diseases. IMETA 2022; 1:e33. [PMID: 38868714 PMCID: PMC10989958 DOI: 10.1002/imt2.33] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Revised: 05/10/2022] [Accepted: 05/25/2022] [Indexed: 06/14/2024]
Abstract
Once thought to be sterile, the human lung is now well recognized to harbor a consortium of microorganisms collectively known as the lung microbiome. The lung microbiome is altered in an array of lung diseases, including chronic lung diseases such as chronic obstructive pulmonary disease, asthma, and bronchiectasis, acute lung diseases caused by pneumonia, sepsis, and COVID-19, and other lung complications such as those related to lung transplantation, lung cancer, and human immunodeficiency virus. The effects of lung microbiome in modulating host immunity and inflammation in the lung and distal organs are being elucidated. However, the precise mechanism by which members of microbiota produce structural ligands that interact with host genes and pathways remains largely uncharacterized. Multiple unique challenges, both technically and biologically, exist in the field of lung microbiome, necessitating the development of tailored experimental and analytical approaches to overcome the bottlenecks. In this review, we first provide an overview of the principles and methodologies in studying the lung microbiome. We next review current knowledge of the roles of lung microbiome in human diseases, highlighting mechanistic insights. We finally discuss critical challenges in the field and share our thoughts on broad topics for future investigation.
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Affiliation(s)
- Xinzhu Yi
- Institute of Ecological Sciences, School of Life SciencesSouth China Normal UniversityGuangzhouGuangdongChina
| | - Jingyuan Gao
- Institute of Ecological Sciences, School of Life SciencesSouth China Normal UniversityGuangzhouGuangdongChina
| | - Zhang Wang
- Institute of Ecological Sciences, School of Life SciencesSouth China Normal UniversityGuangzhouGuangdongChina
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12
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Sun T, Liu Y, Cai Y, Zhai T, Zhou Y, Yang B, Wu X, Zhan Q. A Paired Comparison of Plasma and Bronchoalveolar Lavage Fluid for Metagenomic Next-Generation Sequencing in Critically Ill Patients with Suspected Severe Pneumonia. Infect Drug Resist 2022; 15:4369-4379. [PMID: 35971554 PMCID: PMC9375561 DOI: 10.2147/idr.s374906] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Accepted: 08/03/2022] [Indexed: 11/23/2022] Open
Abstract
Purpose Plasma metagenomic next-generation sequencing (mNGS) has emerged as an attractive and minimally invasive technique for pathogen detection. However, few studies have demonstrated the need for simultaneous plasma and bronchoalveolar lavage fluid (BALF) mNGS in patients with severe pneumonia. Patients and Methods This study retrospectively performed a paired comparison of BALF and plasma mNGS in critically ill patients with suspected severe pneumonia from April 2019 to December 2020. The diagnostic performance of BALF and plasma mNGS was compared using the clinical composite diagnosis as the reference standard. Results In total, 57 patients were included in this study. Patients with positive plasma mNGS had shorter hospital stay days at the time of specimen acquisition (4.5 vs 11, P = 0.028) and a higher positivity rate of BALF culture (50% vs 22.9%, P = 0.033) than patients with negative plasma mNGS. Fifty-three patients (93%) were finally diagnosed with severe pneumonia. Significant differences were observed in the sensitivity of BALF and plasma mNGS (100% vs 42%, P < 0.001), and the diagnostic accuracy was 96% and 46%, respectively. The proportion of virus in positive plasma mNGS results was higher than that in BALF mNGS (23% vs 11%, P = 0.173) without significant difference. Although plasma mNGS detected additional microorganisms in 11/53 patients, the beneficial effect was observed in only 5/53 (9%) patients. Conclusion In this study, the clinical effect of simultaneously conducting mNGS of BALF and plasma samples was found to be limited. For patients with the suspected virus infection, plasma mNGS may be a supplementary test. Further studies are needed to identify the optimal indications for plasma mNGS.
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Affiliation(s)
- Ting Sun
- Capital Medical University China-Japan Friendship School of Clinical Medicine, Beijing, People's Republic of China
| | - Yijie Liu
- Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, People's Republic of China
| | - Ying Cai
- Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, National Center for Respiratory Medicine, China-Japan Friendship Hospital, Beijing, People's Republic of China
| | - Tianshu Zhai
- Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, National Center for Respiratory Medicine, China-Japan Friendship Hospital, Beijing, People's Republic of China
| | - Yun Zhou
- Laboratory Medicine, China-Japan Friendship Hospital, Beijing, People's Republic of China
| | - Bin Yang
- Vision Medicals Center for Infection Diseases, Guangzhou, People's Republic of China
| | - Xiaojing Wu
- Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, National Center for Respiratory Medicine, China-Japan Friendship Hospital, Beijing, People's Republic of China
| | - Qingyuan Zhan
- Capital Medical University China-Japan Friendship School of Clinical Medicine, Beijing, People's Republic of China.,Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, National Center for Respiratory Medicine, China-Japan Friendship Hospital, Beijing, People's Republic of China
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13
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Cheng Z, Yu F. Clinical Value of Metagenomic Next-Generation Sequencing in Immunocompromised Patients with Sepsis. MEDICAL SCIENCE MONITOR : INTERNATIONAL MEDICAL JOURNAL OF EXPERIMENTAL AND CLINICAL RESEARCH 2022; 28:e937041. [PMID: 35957507 PMCID: PMC9380443 DOI: 10.12659/msm.937041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
BACKGROUND Sepsis is a serious threat to human life, particularly in immunocompromised patients; hence, early diagnosis and targeted treatment are important. Metagenomic next-generation sequencing (NGS) has significant advantages over traditional diagnostic methods. This study investigated the clinical value of NGS for pathogen identification in immunocompromised patients with sepsis. MATERIAL AND METHODS From July 2020 to September 2021, 90 consecutive patients with sepsis were enrolled in this prospective study. The patients were divided into 2 groups: an immunocompromised group (n=30) and an immunocompetent group (n=60). The pathogens causing sepsis were concurrently identified using NGS and traditional diagnostic methods. The pathogen detection rates and the spectrum of pathogens identified were compared according to the method of detection and between the immunocompromised and immunocompetent groups. RESULTS Of the 90 patients, 77 (86%) were positive for 1 or more pathogens using NGS, and 50 (56%) were positive using traditional detection methods. The positivity rate of sputum and bronchoalveolar lavage fluid was higher than that of blood samples. Pneumocystis jirovecii and cytomegalovirus infections were more common in the immunocompromised group than in the immunocompetent group. CONCLUSIONS The performance of NGS in identifying pathogens for patients with sepsis is better than that of traditional detection methods, especially in immunocompromised patients. Pneumocystis jirovecii and cytomegalovirus infections are more common in immunocompromised patients.
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Affiliation(s)
- Zheng Cheng
- Department of Emergency Medicine, Intensive Care Unit, The First Affiliated Hospital of Anhui Medical University, Anhui, Hefei, China (mainland)
| | - Feng Yu
- Department of Emergency Medicine, Intensive Care Unit, The First Affiliated Hospital of Anhui Medical University, Anhui, Hefei, China (mainland)
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14
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Tsitsiklis A, Osborne CM, Kamm J, Williamson K, Kalantar K, Dudas G, Caldera S, Lyden A, Tan M, Neff N, Soesanto V, Harris JK, Ambroggio L, Maddux AB, Carpenter TC, Reeder RW, Locandro C, Simões EAF, Leroue MK, Hall MW, Zuppa AF, Carcillo J, Meert KL, Sapru A, Pollack MM, McQuillen PS, Notterman DA, Dean JM, Zinter MS, Wagner BD, DeRisi JL, Mourani PM, Langelier CR. Lower respiratory tract infections in children requiring mechanical ventilation: a multicentre prospective surveillance study incorporating airway metagenomics. THE LANCET MICROBE 2022; 3:e284-e293. [PMID: 35544065 PMCID: PMC9446282 DOI: 10.1016/s2666-5247(21)00304-9] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Revised: 11/03/2021] [Accepted: 11/04/2021] [Indexed: 11/29/2022] Open
Affiliation(s)
- Alexandra Tsitsiklis
- Department of Medicine, Division of Infectious Diseases, University of California San Francisco, San Francisco, CA, USA
| | - Christina M Osborne
- Section of Critical Care Medicine, Department of Pediatrics, University of Colorado School of Medicine and Children's Hospital Colorado, Aurora, CO, USA; Section of Infectious Diseases, Department of Pediatrics, University of Colorado School of Medicine and Children's Hospital Colorado, Aurora, CO, USA
| | - Jack Kamm
- Chan Zuckerberg Biohub, San Francisco, CA, USA
| | - Kayla Williamson
- Department of Biostatistics and Informatics, University of Colorado, Colorado School of Public Health, Aurora, CO, USA
| | | | - Gytis Dudas
- Gothenburg Global Biodiversity Centre, Gothenburg, Sweden
| | - Saharai Caldera
- Department of Medicine, Division of Infectious Diseases, University of California San Francisco, San Francisco, CA, USA; Chan Zuckerberg Biohub, San Francisco, CA, USA
| | - Amy Lyden
- Chan Zuckerberg Biohub, San Francisco, CA, USA
| | | | - Norma Neff
- Chan Zuckerberg Biohub, San Francisco, CA, USA
| | - Victoria Soesanto
- Department of Biostatistics and Informatics, University of Colorado, Colorado School of Public Health, Aurora, CO, USA
| | - J Kirk Harris
- Section of Pulmonary Medicine, Department of Pediatrics, University of Colorado School of Medicine and Children's Hospital Colorado, Aurora, CO, USA
| | - Lilliam Ambroggio
- Section of Emergency Medicine, Department of Pediatrics, University of Colorado School of Medicine and Children's Hospital Colorado, Aurora, CO, USA; Section of Hospital Medicine, Department of Pediatrics, University of Colorado School of Medicine and Children's Hospital Colorado, Aurora, CO, USA
| | - Aline B Maddux
- Section of Critical Care Medicine, Department of Pediatrics, University of Colorado School of Medicine and Children's Hospital Colorado, Aurora, CO, USA
| | - Todd C Carpenter
- Section of Critical Care Medicine, Department of Pediatrics, University of Colorado School of Medicine and Children's Hospital Colorado, Aurora, CO, USA
| | - Ron W Reeder
- Department of Pediatrics, University of Utah, Salt Lake City, UT, USA
| | - Chris Locandro
- Department of Pediatrics, University of Utah, Salt Lake City, UT, USA
| | - Eric A F Simões
- Section of Infectious Diseases, Department of Pediatrics, University of Colorado School of Medicine and Children's Hospital Colorado, Aurora, CO, USA
| | - Matthew K Leroue
- Section of Critical Care Medicine, Department of Pediatrics, University of Colorado School of Medicine and Children's Hospital Colorado, Aurora, CO, USA
| | - Mark W Hall
- Department of Pediatrics, Division of Critical Care Medicine, Nationwide Children's Hospital, Columbus, OH, USA
| | - Athena F Zuppa
- Anesthesiology and Critical Care Medicine, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Joseph Carcillo
- Department of Pediatrics, University of Pittsburgh, Pittsburgh, PA, USA
| | - Kathleen L Meert
- Department of Pediatrics, Children's Hospital of Michigan, Central Michigan University, Detroit, MI, USA
| | - Anil Sapru
- Department of Pediatrics, University of California Los Angeles, Los Angeles, CA, USA
| | - Murray M Pollack
- Department of Pediatrics, Children's National Hospital and George Washington School of Medicine and Health Services, Washington, DC, USA
| | - Patrick S McQuillen
- Department of Pediatrics, University of California San Francisco, San Francisco, CA, USA
| | - Daniel A Notterman
- Department of Molecular Biology, Princeton University, Princeton, NJ, USA
| | - J Michael Dean
- Department of Pediatrics, University of Utah, Salt Lake City, UT, USA
| | - Matt S Zinter
- Department of Pediatrics, University of California San Francisco, San Francisco, CA, USA
| | - Brandie D Wagner
- Department of Biostatistics and Informatics, University of Colorado, Colorado School of Public Health, Aurora, CO, USA
| | - Joseph L DeRisi
- Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA, USA; Chan Zuckerberg Biohub, San Francisco, CA, USA
| | - Peter M Mourani
- Section of Critical Care Medicine, Department of Pediatrics, University of Colorado School of Medicine and Children's Hospital Colorado, Aurora, CO, USA; Department of Pediatrics, Section of Critical Care Medicine, University of Arkansas for Medical Sciences and Arkansas Children's Hospital, Little Rock, AR, USA
| | - Charles R Langelier
- Department of Medicine, Division of Infectious Diseases, University of California San Francisco, San Francisco, CA, USA; Chan Zuckerberg Biohub, San Francisco, CA, USA.
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15
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16
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Shao J, Hassouna A, Wang Y, Zhang R, Zhen L, Li R, Chen M, Liu C, Wang X, Zhang M, Wang P, Yuan S, Chen J, Lu J. Next-generation sequencing as an advanced supplementary tool for the diagnosis of pathogens in lower respiratory tract infections: An observational trial in Xi'an, China. Biomed Rep 2021; 16:14. [PMID: 35070298 PMCID: PMC8764650 DOI: 10.3892/br.2021.1497] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Accepted: 12/07/2021] [Indexed: 11/06/2022] Open
Abstract
The application of next-generation sequencing (NGS) in routine clinical analysis is still limited. The significance of NGS in the identification of pathogens of lower respiratory tract infection should be assessed as part of routine clinical bacterial examinations and chest imaging results. In the present study, the alveolar lavage fluid samples of 30 patients (25 males and 5 females, aged 19-92 years old, with a median age of 62) were examined by routine bacterial culture and NGS, and the results of pathogen detection and identification were compared. Chest imaging showed consolidation in all 30 patients (100%), and pleural effusion in 13 of the 30 patients (43.33%). The routine bacterial culture of the lavage solution was only positive in 14 of the 30 patients (46.6%), and negative in 16 patients (53.33%). However, the positive rate of NGS test results of the lavage fluid was 100%. A total of 12 cases (40%) were completely consistent with the routine bacterial culture test, with 56 other pathogens of mixed infection detected, accounting for the short comings of the routine bacterial examination. Although NGS cannot distinguish between live and dead bacteria, it is still a useful detection technology for accurate diagnosis of clinical infectious diseases. It is worthy of adaptation in the clinic for more effective clinical management and treatment of the lower respiratory airway infection in addition to the routine bacterial culture testing.
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Affiliation(s)
- Jie Shao
- Norinco 521 Hospital, Xi'an, Shaanxi 710065, P.R. China
| | - Amira Hassouna
- School of Public Health and Interdisciplinary Studies, Faculty of Health and Environmental Sciences, Auckland University of Technology, Auckland 0622, New Zealand
| | - Yaqin Wang
- Norinco 521 Hospital, Xi'an, Shaanxi 710065, P.R. China
| | - Ruirui Zhang
- Norinco 521 Hospital, Xi'an, Shaanxi 710065, P.R. China
| | - Lifang Zhen
- Norinco 521 Hospital, Xi'an, Shaanxi 710065, P.R. China
| | - Ruidan Li
- Norinco 521 Hospital, Xi'an, Shaanxi 710065, P.R. China
| | - Mingli Chen
- Norinco 521 Hospital, Xi'an, Shaanxi 710065, P.R. China
| | - Chengjie Liu
- Norinco 521 Hospital, Xi'an, Shaanxi 710065, P.R. China
| | - Xiangye Wang
- Norinco 521 Hospital, Xi'an, Shaanxi 710065, P.R. China
| | | | - Peng Wang
- Norinco 521 Hospital, Xi'an, Shaanxi 710065, P.R. China
| | - Shenghua Yuan
- Norinco 521 Hospital, Xi'an, Shaanxi 710065, P.R. China
| | - Jie Chen
- Guangzhou Sagene Biotech Co., Ltd., Guangzhou, Guangdong 510320, P.R. China
| | - Jun Lu
- School of Public Health and Interdisciplinary Studies, Faculty of Health and Environmental Sciences, Auckland University of Technology, Auckland 0622, New Zealand
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17
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Nasopharyngeal Microbiota as an early severity biomarker in COVID-19 hospitalised patients: a retrospective cohort study in a Mediterranean area. J Infect 2021; 84:329-336. [PMID: 34963638 PMCID: PMC8709923 DOI: 10.1016/j.jinf.2021.12.030] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2021] [Revised: 12/08/2021] [Accepted: 12/21/2021] [Indexed: 12/11/2022]
Abstract
This study aimed to analyse the diversity and taxonomic composition of the nasopharyngeal microbiota, to determine its association with COVID-19 clinical outcome. To study the microbiota, we utilized 16S rRNA sequencing of 177 samples that came from a retrospective cohort of COVID-19 hospitalized patients. Raw sequences were processed by QIIME2. The associations between microbiota, invasive mechanical ventilation (IMV), and all-cause mortality were analysed by multiple logistic regression, adjusted for age, gender, and comorbidity. The microbiota α diversity indexes were lower in patients with a fatal outcome, whereas the β diversity analysis showed a significant clustering in these patients. After multivariate adjustment, the presence of Selenomonas spp., Filifactor spp., Actinobacillus spp., or Chroococcidiopsis spp., was associated with a reduction of more than 90% of IMV. Higher diversity and the presence of certain genera in the nasopharyngeal microbiota seem to be early biomarkers of a favourable clinical evolution in hospitalized COVID-19 patients.
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18
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Zhan Y, Xu T, He F, Guan WJ, Li Z, Li S, Xie M, Li X, Chen R, Cheng L, Zhong N, Ye F. Clinical Evaluation of a Metagenomics-Based Assay for Pneumonia Management. Front Microbiol 2021; 12:751073. [PMID: 34603275 PMCID: PMC8481773 DOI: 10.3389/fmicb.2021.751073] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2021] [Accepted: 08/25/2021] [Indexed: 11/13/2022] Open
Abstract
Clinical value of metagenomic next-generation sequencing (mNGS) in pneumonia management is still controversial. A prospective study was conducted to evaluate the clinical impact of PneumoSeq in 57 immunocompetent (ICO) and 75 immunocompromised (ICH) pneumonia patients. The value of PneumoSeq for both etiological and clinical impact investigation in pneumonia was assessed. Among the 276 potential pathogens detected with PneumoSeq in our cohort, 251 (90.9%) were cross-validated. Clinical diagnoses of the causative pathogens were obtained for 97 patients, 90.7% of which were supported by PneumoSeq. Compared to conventional testing, PneumoSeq suggested potentially missed diagnoses in 16.7% of cases (22/132), involving 48 additional pathogenic microorganisms. In 58 (43.9%) cases, PneumoSeq data led to antimicrobial treatment de-escalation (n = 12 in ICO, n = 18 in ICH) and targeted treatment initiation (n = 7 in ICO, n = 21 in ICH). The PneumoSeq assay benefited the diagnosis and clinical management of both ICH and ICO pneumonia patients in real-world settings.
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Affiliation(s)
- Yangqing Zhan
- State Key Laboratory of Respiratory Disease, Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, National Clinical Research Center for Respiratory Disease, Guangzhou, China
| | - Teng Xu
- Vision Medicals Co., Ltd., Guangzhou, China.,Key Laboratory of Animal Gene Editing and Animal Cloning in Yunnan Province and College of Veterinary Medicine, Yunnan Agricultural University, Kunming, China
| | - Fusheng He
- Vision Medicals Co., Ltd., Guangzhou, China
| | - Wei-Jie Guan
- State Key Laboratory of Respiratory Disease, Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, National Clinical Research Center for Respiratory Disease, Guangzhou, China.,Department of Thoracic Surgery, Guangzhou Institute for Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Zhengtu Li
- State Key Laboratory of Respiratory Disease, Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, National Clinical Research Center for Respiratory Disease, Guangzhou, China
| | - Shaoqiang Li
- State Key Laboratory of Respiratory Disease, Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, National Clinical Research Center for Respiratory Disease, Guangzhou, China
| | | | - Xiaolei Li
- Vision Medicals Co., Ltd., Guangzhou, China
| | - Rongchang Chen
- State Key Laboratory of Respiratory Disease, Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, National Clinical Research Center for Respiratory Disease, Guangzhou, China.,Department of Respiratory and Critical Care Medicine, First Affiliated Hospital of Southern University of Science and Technology, Second Clinical Medical College of Jinan University, Shenzhen People's Hospital, Shenzhen Institute of Respiratory Diseases, Shenzhen, China
| | - Linling Cheng
- State Key Laboratory of Respiratory Disease, Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, National Clinical Research Center for Respiratory Disease, Guangzhou, China
| | - Nanshan Zhong
- State Key Laboratory of Respiratory Disease, Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, National Clinical Research Center for Respiratory Disease, Guangzhou, China
| | - Feng Ye
- State Key Laboratory of Respiratory Disease, Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, National Clinical Research Center for Respiratory Disease, Guangzhou, China
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19
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Kalantar KL, Langelier CR. Host-Microbe Metagenomics: a Lens To Refocus Our Perspective on Infectious and Inflammatory Diseases. mSystems 2021; 6:e0040421. [PMID: 34402649 PMCID: PMC8409739 DOI: 10.1128/msystems.00404-21] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
A dynamic relationship involving pathogen, host immune response, and microbiome characterizes the biological framework of many infectious and inflammatory diseases. Combined host/microbe metagenomics (mNGS) enables simultaneous assessment of all three features, enabling the study and diagnosis of diverse infectious and inflammatory processes ranging from pneumonia to sepsis to inflammatory diseases such as rheumatoid arthritis. Host/microbe mNGS holds promise for new mechanistic insights, diagnostic approaches, and precision medicine interventions.
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Affiliation(s)
| | - Charles R. Langelier
- Division of Infectious Diseases, University of California San Francisco, San Francisco, California, USA
- Chan Zuckerberg Biohub, San Francisco, California, USA
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20
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Immunophenotyping assessment in a COVID-19 cohort (IMPACC): A prospective longitudinal study. Sci Immunol 2021; 6:eabf3733. [PMID: 34376480 PMCID: PMC8713959 DOI: 10.1126/sciimmunol.abf3733] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2020] [Accepted: 08/05/2021] [Indexed: 12/13/2022]
Abstract
The IMmunoPhenotyping Assessment in a COVID-19 Cohort (IMPACC) is a prospective longitudinal study designed to enroll 1000 hospitalized patients with COVID-19 (NCT04378777). IMPACC collects detailed clinical, laboratory and radiographic data along with longitudinal biologic sampling of blood and respiratory secretions for in depth testing. Clinical and lab data are integrated to identify immunologic, virologic, proteomic, metabolomic and genomic features of COVID-19-related susceptibility, severity and disease progression. The goals of IMPACC are to better understand the contributions of pathogen dynamics and host immune responses to the severity and course of COVID-19 and to generate hypotheses for identification of biomarkers and effective therapeutics, including optimal timing of such interventions. In this report we summarize the IMPACC study design and protocols including clinical criteria and recruitment, multi-site standardized sample collection and processing, virologic and immunologic assays, harmonization of assay protocols, high-level analyses and the data sharing plans.
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21
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Fried WA, Soltero-Rivera M, Ramesh A, Lommer MJ, Arzi B, DeRisi JL, Horst JA. Use of unbiased metagenomic and transcriptomic analyses to investigate the association between feline calicivirus and feline chronic gingivostomatitis in domestic cats. Am J Vet Res 2021; 82:381-394. [PMID: 33904799 DOI: 10.2460/ajvr.82.5.381] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
OBJECTIVE To identify associations between microbes and host genes in cats with feline chronic gingivostomatitis (FCGS), a debilitating inflammatory oral mucosal disease with no known cause, compared with healthy cats and cats with periodontitis (control cats). ANIMALS 19 control cats and 23 cats with FCGS. PROCEDURES At least 1 caudal oral mucosal swab specimen was obtained from each cat. Each specimen underwent unbiased metatranscriptomic next-generation RNA sequencing (mNGS). Filtered mNGS reads were aligned to all known genetic sequences from all organisms and to the cat transcriptome. The relative abundances of microbial and host gene read alignments were compared between FCGS-affected cats and control cats and between FCGS-affected cats that did and did not clinically respond to primary treatment. Assembled feline calicivirus (FCV) genomes were compared with reverse transcription PCR (RT-PCR) primers commonly used to identify FCV. RESULTS The only microbe strongly associated with FCGS was FCV, which was detected in 21 of 23 FCGS-affected cats but no control cats. Problematic base pair mismatches were identified between the assembled FCV genomes and RT-PCR primers. Puma feline foamy virus was detected in 9 of 13 FCGS-affected cats that were refractory to treatment and 5 healthy cats but was not detected in FCGS-affected cats that responded to tooth extractions. The most differentially expressed genes in FCGS-affected cats were those associated with antiviral activity. CONCLUSIONS AND CLINICAL RELEVANCE Results suggested that FCGS pathogenesis has a viral component. Many FCV strains may yield false-negative results on RT-PCR-based assays. Coinfection of FCGS-affected cats with FCV and puma feline foamy virus may adversely affect response to treatment.
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22
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Ventero MP, Cuadrat RRC, Vidal I, Andrade BGN, Molina-Pardines C, Haro-Moreno JM, Coutinho FH, Merino E, Regitano LCA, Silveira CB, Afli H, López-Pérez M, Rodríguez JC. Nasopharyngeal Microbial Communities of Patients Infected With SARS-CoV-2 That Developed COVID-19. Front Microbiol 2021; 12:637430. [PMID: 33815323 PMCID: PMC8010661 DOI: 10.3389/fmicb.2021.637430] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2020] [Accepted: 02/23/2021] [Indexed: 01/08/2023] Open
Abstract
BACKGROUND SARS-CoV-2 is an RNA virus causing COVID-19. The clinical characteristics and epidemiology of COVID-19 have been extensively investigated, however, only one study so far focused on the patient's nasopharynx microbiota. In this study we investigated the nasopharynx microbial community of patients that developed different severity levels of COVID-19. We performed 16S ribosomal DNA sequencing from nasopharyngeal swab samples obtained from SARS-CoV-2 positive (56) and negative (18) patients in the province of Alicante (Spain) in their first visit to the hospital. Positive SARS-CoV-2 patients were observed and later categorized in mild (symptomatic without hospitalization), moderate (hospitalization), and severe (admission to ICU). We compared the microbiota diversity and OTU composition among severity groups and built bacterial co-abundance networks for each group. RESULTS Statistical analysis indicated differences in the nasopharyngeal microbiome of COVID19 patients. 62 OTUs were found exclusively in SARS-CoV-2 positive patients, mostly classified as members of the phylum Bacteroidota (18) and Firmicutes (25). OTUs classified as Prevotella were found to be significantly more abundant in patients that developed more severe COVID-19. Furthermore, co-abundance analysis indicated a loss of network complexity among samples from patients that later developed more severe symptoms. CONCLUSION Our study shows that the nasopharyngeal microbiome of COVID-19 patients showed differences in the composition of specific OTUs and complexity of co-abundance networks. Taxa with differential abundances among groups could serve as biomarkers for COVID-19 severity. Nevertheless, further studies with larger sample sizes should be conducted to validate these results.
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Affiliation(s)
- Maria Paz Ventero
- Microbiology Department, Alicante University General Hospital - Alicante Institute of Sanitary and Biomedical Research (ISABIAL), Alicante, Spain
| | - Rafael R. C. Cuadrat
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany
| | - Inmaculada Vidal
- Microbiology Department, Alicante University General Hospital - Alicante Institute of Sanitary and Biomedical Research (ISABIAL), Alicante, Spain
| | - Bruno G. N. Andrade
- Embrapa Pecuária Sudeste, São Carlos, Brazil
- Department of Computer Science, Munster Technological University (MTU), Cork, Ireland
| | - Carmen Molina-Pardines
- Microbiology Department, Alicante University General Hospital - Alicante Institute of Sanitary and Biomedical Research (ISABIAL), Alicante, Spain
| | - Jose M. Haro-Moreno
- Evolutionary Genomics Group, División de Microbiología, Universidad Miguel Hernández, San Juan de Alicante, Spain
| | - Felipe H. Coutinho
- Evolutionary Genomics Group, División de Microbiología, Universidad Miguel Hernández, San Juan de Alicante, Spain
| | - Esperanza Merino
- Infectious Diseases Unit, Alicante University General Hospital, Alicante Institute for Health and Biomedical Research (ISABIAL), Alicante, Spain
| | | | | | - Haithem Afli
- Department of Computer Science, Munster Technological University (MTU), Cork, Ireland
| | - Mario López-Pérez
- Microbiology Department, Alicante University General Hospital - Alicante Institute of Sanitary and Biomedical Research (ISABIAL), Alicante, Spain
- Evolutionary Genomics Group, División de Microbiología, Universidad Miguel Hernández, San Juan de Alicante, Spain
| | - Juan Carlos Rodríguez
- Microbiology Department, Alicante University General Hospital - Alicante Institute of Sanitary and Biomedical Research (ISABIAL), Alicante, Spain
- Evolutionary Genomics Group, División de Microbiología, Universidad Miguel Hernández, San Juan de Alicante, Spain
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23
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Kitsios GD, Yang H, Yang L, Qin S, Fitch A, Wang XH, Fair K, Evankovich J, Bain W, Shah F, Li K, Methé B, Benos PV, Morris A, McVerry BJ. Respiratory Tract Dysbiosis Is Associated with Worse Outcomes in Mechanically Ventilated Patients. Am J Respir Crit Care Med 2021; 202:1666-1677. [PMID: 32717152 DOI: 10.1164/rccm.201912-2441oc] [Citation(s) in RCA: 48] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
Rationale: Host inflammatory responses have been strongly associated with adverse outcomes in critically ill patients, but the biologic underpinnings of such heterogeneous responses have not been defined.Objectives: We examined whether respiratory tract microbiome profiles are associated with host inflammation and clinical outcomes of acute respiratory failure.Methods: We collected oral swabs, endotracheal aspirates (ETAs), and plasma samples from mechanically ventilated patients. We performed 16S ribosomal RNA gene sequencing to characterize upper and lower respiratory tract microbiota and classified patients into host-response subphenotypes on the basis of clinical variables and plasma biomarkers of innate immunity and inflammation. We derived diversity metrics and composition clusters with Dirichlet multinomial models and examined our data for associations with subphenotypes and clinical outcomes.Measurements and Main Results: Oral and ETA microbial communities from 301 mechanically ventilated subjects had substantial heterogeneity in α and β diversity. Dirichlet multinomial models revealed a cluster with low α diversity and enrichment for pathogens (e.g., high Staphylococcus or Pseudomonadaceae relative abundance) in 35% of ETA samples, associated with a hyperinflammatory subphenotype, worse 30-day survival, and longer time to liberation from mechanical ventilation (adjusted P < 0.05), compared with patients with higher α diversity and relative abundance of typical oral microbiota. Patients with evidence of dysbiosis (low α diversity and low relative abundance of "protective" oral-origin commensal bacteria) in both oral and ETA samples (17%, combined dysbiosis) had significantly worse 30-day survival and longer time to liberation from mechanical ventilation than patients without dysbiosis (55%; adjusted P < 0.05).Conclusions: Respiratory tract dysbiosis may represent an important, modifiable contributor to patient-level heterogeneity in systemic inflammatory responses and clinical outcomes.
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Affiliation(s)
- Georgios D Kitsios
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, School of Medicine and University of Pittsburgh Medical Center.,Center for Medicine and the Microbiome
| | - Haopu Yang
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, School of Medicine and University of Pittsburgh Medical Center.,Department of Computational and Systems Biology, and.,Department of Immunology, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Libing Yang
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, School of Medicine and University of Pittsburgh Medical Center.,Center for Medicine and the Microbiome.,Department of Immunology, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Shulin Qin
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, School of Medicine and University of Pittsburgh Medical Center.,Center for Medicine and the Microbiome
| | | | - Xiao-Hong Wang
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, School of Medicine and University of Pittsburgh Medical Center
| | - Katherine Fair
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, School of Medicine and University of Pittsburgh Medical Center
| | - John Evankovich
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, School of Medicine and University of Pittsburgh Medical Center
| | - William Bain
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, School of Medicine and University of Pittsburgh Medical Center
| | - Faraaz Shah
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, School of Medicine and University of Pittsburgh Medical Center.,School of Medicine, Tsinghua University, Beijing, China; and
| | - Kelvin Li
- Center for Medicine and the Microbiome
| | - Barbara Methé
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, School of Medicine and University of Pittsburgh Medical Center.,Center for Medicine and the Microbiome
| | | | - Alison Morris
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, School of Medicine and University of Pittsburgh Medical Center.,Center for Medicine and the Microbiome.,Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, Pennsylvania
| | - Bryan J McVerry
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, School of Medicine and University of Pittsburgh Medical Center.,Center for Medicine and the Microbiome
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24
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Li F, Wang Y, Zhang Y, Shi P, Cao L, Su L, Zhu Q, Wang L, Lu R, Tan W, Shen J. Etiology of Severe Pneumonia in Children in Alveolar Lavage Fluid Using a High-Throughput Gene Targeted Amplicon Sequencing Assay. Front Pediatr 2021; 9:659164. [PMID: 34249808 PMCID: PMC8267249 DOI: 10.3389/fped.2021.659164] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Accepted: 04/26/2021] [Indexed: 12/18/2022] Open
Abstract
Objective: To evaluate the diagnostic value of a high-throughput gene targeted amplicon sequencing (TAS) assay for detecting pathogenic microorganisms in alveolar lavage fluid (ALF) from children with severe community-acquired pneumonia (SCAP). Methods: A retrospective study was performed on 48 frozen ALF samples from 47 severe pneumonia cases admitted to Children's Hospital of Fudan University from January 1, 2019, to March 31, 2019. All samples were tested by a multiplex PCR (Multi-PCR) assay and a TAS assay. The results of the TAS panels were parallel compared with Multi-PCR and Conventional Tests (CT) including culture, direct fluorescent antibody method (DFA), and singleplex polymerase chain reaction (PCR). Results: The proportion of pathogens detection by CT was 81.2% (39/48). The 8 common respiratory viruses including respiratory syncytial virus (RSV), adenovirus (ADV), influenza A virus (FLUA), influenza B virus (FLUB), parainfluenza virus 1-3 (PIV1-3), and human Metapneumovirus (hMPV) were found in 31.2% (15/48) of the 48 samples by DFA. With the criteria of CT results used as "Golden Standard" for determing of TAS results, the proportion of pathogens detection by TAS was 70.8% (34/48). The difference of proportion of pathogens detection between TAS and CT was not statistically significant (p = 0.232). The sensitivity and specificity of TAS for pathogens detection based on CT were 87.1% (95% CI, 71.77-95.18%) and 100.0% (95% CI, 62.88-100%), the positive predictive value (PPV) and negative predictive value (NPV) were 100.0% (95% CI, 87.35-100%) and 64.2% (95% CI, 35.62-86.02%), respectively. While Multi-PCR results were used as "Golden Standard," the total pathogens detection rate of TAS was 83.3% (40/48), which had a significant difference with that of Multi-PCR (p = 0.003). The sensitivity and PPV of TAS compared with Multi-PCR were 83.3% (95% CI, 69.23-92.03%) and 100.0% (95% CI, 89.08-100%), respectively. High rates of co-infection were proved by CT, Multi-PCR, and TAS. Mycoplasma pneumoniae (MP) and ADV were the two most frequently detected pathogens in all three assays. Conclusion: Compared with the CT and Multi-PCR methods, this TAS assay had a good performance in detecting bacteriological and viral pathogens from ALF. More research is needed to establish interpretation criteria based on TAS reads or analysis platforms.
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Affiliation(s)
- Fei Li
- Infectious Disease Department, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China
| | - Yin Wang
- Clinical Trial Unit, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China
| | - Yuhan Zhang
- Infectious Disease Department, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China
| | - Peng Shi
- Statistics and Data Management Center, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China
| | - Linfeng Cao
- Virology Department, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China
| | - LiYun Su
- Virology Department, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China
| | - Qiguo Zhu
- Respiratory Department, Children's Hospital Xiamen Branch, Xiamen, China
| | - Libo Wang
- Respiratory Department, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China
| | - Roujian Lu
- National Institute for Viral Disease Control and Prevention, China CDC, Beijing, China
| | - Wenjie Tan
- National Institute for Viral Disease Control and Prevention, China CDC, Beijing, China
| | - Jun Shen
- Infectious Disease Department, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China
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25
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Fernández-Barat L, López-Aladid R, Torres A. Reconsidering ventilator-associated pneumonia from a new dimension of the lung microbiome. EBioMedicine 2020; 60:102995. [PMID: 32950001 PMCID: PMC7492164 DOI: 10.1016/j.ebiom.2020.102995] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2020] [Revised: 08/25/2020] [Accepted: 08/25/2020] [Indexed: 12/12/2022] Open
Abstract
Complex microbial communities that reside in the lungs, skin and gut are now appreciated for their role in maintaining organ, tissue and immune homoeostasis. As lungs are currently seen as an ecosystem, the shift in paradigm calls for the consideration of new algorithms related to lung ecology in pulmonology. Evidence of lung microbiota does not solely challenge the traditional physiopathology of ventilator-associated pneumonia (VAP); indeed, it also reinforces the need to include molecular techniques in VAP diagnosis and accelerate the use of immunomodulatory drugs, including corticosteroids, and other supplements such as probiotics for VAP prevention and/or treatment. With that stated, both microbiome and virome, including phageome, can lead to new opportunities in further understanding the relationship between health and dysbiosis in VAP. Previous knowledge may be, however, reconsidered at a microbiome scale.
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Affiliation(s)
- Laia Fernández-Barat
- Cellex Laboratory, CibeRes (Centro de Investigación Biomédica en Red de Enfermedades Respiratorias, 06/06/0028), Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Spain; School of Medicine, University of Barcelona, Barcelona, Spain.
| | - Ruben López-Aladid
- Cellex Laboratory, CibeRes (Centro de Investigación Biomédica en Red de Enfermedades Respiratorias, 06/06/0028), Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Spain
| | - Antoni Torres
- Cellex Laboratory, CibeRes (Centro de Investigación Biomédica en Red de Enfermedades Respiratorias, 06/06/0028), Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Spain; School of Medicine, University of Barcelona, Barcelona, Spain; Department of Pneumology, Thorax Institute, Hospital Clinic of Barcelona, Spain.
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26
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Carney SM, Clemente JC, Cox MJ, Dickson RP, Huang YJ, Kitsios GD, Kloepfer KM, Leung JM, LeVan TD, Molyneaux PL, Moore BB, O'Dwyer DN, Segal LN, Garantziotis S. Methods in Lung Microbiome Research. Am J Respir Cell Mol Biol 2020; 62:283-299. [PMID: 31661299 PMCID: PMC7055701 DOI: 10.1165/rcmb.2019-0273tr] [Citation(s) in RCA: 88] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2019] [Accepted: 10/29/2019] [Indexed: 12/13/2022] Open
Abstract
The lung microbiome is associated with host immune response and health outcomes in experimental models and patient cohorts. Lung microbiome research is increasing in volume and scope; however, there are no established guidelines for study design, conduct, and reporting of lung microbiome studies. Standardized approaches to yield reliable and reproducible data that can be synthesized across studies will ultimately improve the scientific rigor and impact of published work and greatly benefit microbiome research. In this review, we identify and address several key elements of microbiome research: conceptual modeling and hypothesis framing; study design; experimental methodology and pitfalls; data analysis; and reporting considerations. Finally, we explore possible future directions and research opportunities. Our goal is to aid investigators who are interested in this burgeoning research area and hopefully provide the foundation for formulating consensus approaches in lung microbiome research.
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Affiliation(s)
| | | | | | | | - Yvonne J Huang
- University of Michigan Medical School, Ann Arbor, Michigan
| | - Georgios D Kitsios
- Division of Pulmonary, Allergy and Critical Care Medicine, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Kirsten M Kloepfer
- Division of Pulmonary, Allergy and Sleep Medicine, Department of Pediatrics, Indiana University School of Medicine, Indianapolis, Indiana
| | - Janice M Leung
- Centre for Heart Lung Innovation, University of British Columbia, Vancouver, British Columbia, Canada
| | | | - Philip L Molyneaux
- Fibrosis Research Group, National Heart and Lung Institute, Imperial College London, London, United Kingdom
- Royal Brompton and Harefield Foundation National Health Service Trust, London, United Kingdom
| | | | | | - Leopoldo N Segal
- Division of Pulmonary, Critical Care and Sleep Medicine, New York University School of Medicine, New York, New York; and
| | - Stavros Garantziotis
- National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina
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27
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Yang L, Haidar G, Zia H, Nettles R, Qin S, Wang X, Shah F, Rapport SF, Charalampous T, Methé B, Fitch A, Morris A, McVerry BJ, O'Grady J, Kitsios GD. Metagenomic identification of severe pneumonia pathogens in mechanically-ventilated patients: a feasibility and clinical validity study. Respir Res 2019; 20:265. [PMID: 31775777 PMCID: PMC6882222 DOI: 10.1186/s12931-019-1218-4] [Citation(s) in RCA: 52] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2019] [Accepted: 10/15/2019] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Metagenomic sequencing of respiratory microbial communities for pathogen identification in pneumonia may help overcome the limitations of culture-based methods. We examined the feasibility and clinical validity of rapid-turnaround metagenomics with Nanopore™ sequencing of clinical respiratory specimens. METHODS We conducted a case-control study of mechanically-ventilated patients with pneumonia (nine culture-positive and five culture-negative) and without pneumonia (eight controls). We collected endotracheal aspirates and applied a microbial DNA enrichment method prior to metagenomic sequencing with the Oxford Nanopore MinION device. For reference, we compared Nanopore results against clinical microbiologic cultures and bacterial 16S rRNA gene sequencing. RESULTS Human DNA depletion enabled in depth sequencing of microbial communities. In culture-positive cases, Nanopore revealed communities with high abundance of the bacterial or fungal species isolated by cultures. In four cases with resistant clinical isolates, Nanopore detected antibiotic resistance genes corresponding to the phenotypic resistance in antibiograms. In culture-negative pneumonia, Nanopore revealed probable bacterial pathogens in 1/5 cases and Candida colonization in 3/5 cases. In controls, Nanopore showed high abundance of oral bacteria in 5/8 subjects, and identified colonizing respiratory pathogens in other subjects. Nanopore and 16S sequencing showed excellent concordance for the most abundant bacterial taxa. CONCLUSIONS We demonstrated technical feasibility and proof-of-concept clinical validity of Nanopore metagenomics for severe pneumonia diagnosis, with striking concordance with positive microbiologic cultures, and clinically actionable information obtained from sequencing in culture-negative samples. Prospective studies with real-time metagenomics are warranted to examine the impact on antimicrobial decision-making and clinical outcomes.
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Affiliation(s)
- Libing Yang
- Center for Medicine and the Microbiome, University of Pittsburgh, Pittsburgh, PA, USA
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, University of Pittsburgh School of Medicine and University of Pittsburgh Medical Center, UPMC Montefiore Hospital, NW628, 3459 Fifth Avenue, Pittsburgh, PA, 15213, USA
| | - Ghady Haidar
- Division of Infectious Diseases, University of Pittsburgh Medical Center and University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Haris Zia
- Internal Medicine Residency Program, University of Pittsburgh Medical Center McKeesport, McKeesport, PA, USA
| | - Rachel Nettles
- Center for Medicine and the Microbiome, University of Pittsburgh, Pittsburgh, PA, USA
| | - Shulin Qin
- Center for Medicine and the Microbiome, University of Pittsburgh, Pittsburgh, PA, USA
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, University of Pittsburgh School of Medicine and University of Pittsburgh Medical Center, UPMC Montefiore Hospital, NW628, 3459 Fifth Avenue, Pittsburgh, PA, 15213, USA
| | - Xiaohong Wang
- Center for Medicine and the Microbiome, University of Pittsburgh, Pittsburgh, PA, USA
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, University of Pittsburgh School of Medicine and University of Pittsburgh Medical Center, UPMC Montefiore Hospital, NW628, 3459 Fifth Avenue, Pittsburgh, PA, 15213, USA
| | - Faraaz Shah
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, University of Pittsburgh School of Medicine and University of Pittsburgh Medical Center, UPMC Montefiore Hospital, NW628, 3459 Fifth Avenue, Pittsburgh, PA, 15213, USA
- Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, PA, USA
| | - Sarah F Rapport
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, University of Pittsburgh School of Medicine and University of Pittsburgh Medical Center, UPMC Montefiore Hospital, NW628, 3459 Fifth Avenue, Pittsburgh, PA, 15213, USA
| | - Themoula Charalampous
- Bob Champion Research and Educational Building, University of East Anglia, Norwich Research Park, Norwich, UK
| | - Barbara Methé
- Center for Medicine and the Microbiome, University of Pittsburgh, Pittsburgh, PA, USA
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, University of Pittsburgh School of Medicine and University of Pittsburgh Medical Center, UPMC Montefiore Hospital, NW628, 3459 Fifth Avenue, Pittsburgh, PA, 15213, USA
| | - Adam Fitch
- Center for Medicine and the Microbiome, University of Pittsburgh, Pittsburgh, PA, USA
| | - Alison Morris
- Center for Medicine and the Microbiome, University of Pittsburgh, Pittsburgh, PA, USA
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, University of Pittsburgh School of Medicine and University of Pittsburgh Medical Center, UPMC Montefiore Hospital, NW628, 3459 Fifth Avenue, Pittsburgh, PA, 15213, USA
- Department of Immunology, University of Pittsburgh School of Medicine, Pittsburgh, USA
| | - Bryan J McVerry
- Center for Medicine and the Microbiome, University of Pittsburgh, Pittsburgh, PA, USA
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, University of Pittsburgh School of Medicine and University of Pittsburgh Medical Center, UPMC Montefiore Hospital, NW628, 3459 Fifth Avenue, Pittsburgh, PA, 15213, USA
| | - Justin O'Grady
- Bob Champion Research and Educational Building, University of East Anglia, Norwich Research Park, Norwich, UK
- Quadram Institute Bioscience and University of East Anglia, Norwich, UK
| | - Georgios D Kitsios
- Center for Medicine and the Microbiome, University of Pittsburgh, Pittsburgh, PA, USA.
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, University of Pittsburgh School of Medicine and University of Pittsburgh Medical Center, UPMC Montefiore Hospital, NW628, 3459 Fifth Avenue, Pittsburgh, PA, 15213, USA.
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Lal CV, Ambalavanan N. Maternal antibiotics augment hyperoxia-induced lung injury in neonatal mice. Am J Physiol Lung Cell Mol Physiol 2019; 318:L405-L406. [PMID: 31664856 DOI: 10.1152/ajplung.00442.2019] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
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