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Sekaran K, Varghese RP, Doss C. GP, Alsamman AM, Zayed H, El Allali A. Airway and Oral microbiome profiling of SARS-CoV-2 infected asthma and non-asthma cases revealing alterations-A pulmonary microbial investigation. PLoS One 2023; 18:e0289891. [PMID: 37590197 PMCID: PMC10434894 DOI: 10.1371/journal.pone.0289891] [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: 02/26/2023] [Accepted: 07/27/2023] [Indexed: 08/19/2023] Open
Abstract
New evidence strongly discloses the pathogenesis of host-associated microbiomes in respiratory diseases. The microbiome dysbiosis modulates the lung's behavior and deteriorates the respiratory system's effective functioning. Several exogenous and environmental factors influence the development of asthma and chronic lung disease. The relationship between asthma and microbes is reasonably understood and yet to be investigated for more substantiation. The comorbidities such as SARS-CoV-2 further exacerbate the health condition of the asthma-affected individuals. This study examines the raw 16S rRNA sequencing data collected from the saliva and nasopharyngeal regions of pre-existing asthma (23) and non-asthma patients (82) infected by SARS-CoV-2 acquired from the public database. The experiment is designed in a two-fold pattern, analyzing the associativity between the samples collected from the saliva and nasopharyngeal regions. Later, investigates the microbial pathogenesis, its role in exacerbations of respiratory disease, and deciphering the diagnostic biomarkers of the target condition. LEfSE analysis identified that Actinobacteriota and Pseudomonadota are enriched in the SARS-CoV-2-non-asthma group and SARS-CoV-2 asthma group of the salivary microbiome, respectively. Random forest algorithm is trained with amplicon sequence variants (ASVs) attained better classification accuracy, ROC scores on nasal (84% and 87%) and saliva datasets (93% and 97.5%). Rothia mucilaginosa is less abundant, and Corynebacterium tuberculostearicum showed higher abundance in the SARS-CoV-2 asthma group. The increase in Streptococcus at the genus level in the SARS-CoV-2-asthma group is evidence of discriminating the subgroups.
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Affiliation(s)
- Karthik Sekaran
- Vellore Institute of Technology, School of Biosciences and Technology, Vellore, India
| | | | - George Priya Doss C.
- Vellore Institute of Technology, School of Biosciences and Technology, Vellore, India
| | - Alsamman M. Alsamman
- Department of Genome Mapping, Molecular Genetics and Genome Mapping Laboratory, Agricultural Genetic Engineering Research Institute, Giza, Egypt
| | - Hatem Zayed
- Department of Biomedical Sciences College of Health Sciences, QU Health, Qatar University, Doha, Qatar
| | - Achraf El Allali
- African Genome Center, Mohammed VI Polytechnic University, Ben Guerir, Morocco
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Ishizaka A, Koga M, Mizutani T, Uraki R, Yamayoshi S, Iwatsuki-Horimoto K, Yamamoto S, Imai M, Tsutsumi T, Suzuki Y, Kawaoka Y, Yotsuyanagi H. Research article antibody induction and immune response in nasal cavity by third dose of SARS-CoV-2 mRNA vaccination. Virol J 2023; 20:146. [PMID: 37443091 PMCID: PMC10339591 DOI: 10.1186/s12985-023-02113-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Accepted: 07/03/2023] [Indexed: 07/15/2023] Open
Abstract
BACKGROUND The mucosa serves as the first defence against pathogens and facilitates the surveillance and elimination of symbiotic bacteria by mucosal immunity. Recently, the mRNA vaccine against SARS-CoV-2 has been demonstrated to induce secretory antibodies in the oral and nasal cavities in addition to a systemic immune response. However, the mechanism of induced immune stimulation effect on mucosal immunity and commensal bacteria profile remains unclear. METHODS Here, we longitudinally analysed the changing nasal microbiota and both systemic and nasal immune response upon SARS-CoV-2 mRNA vaccination, and evaluated how mRNA vaccination influenced nasal microbiota in 18 healthy participants who had received the third BNT162b. RESULTS The nasal S-RBD IgG level correlated significantly with plasma IgG levels until 1 month and the levels were sustained for 3 months post-vaccination. In contrast, nasal S-RBD IgA induction peaked at 1 month, albeit slightly, and correlated only with plasma IgA, but the induction level decreased markedly at 3 months post-vaccination. 16 S rRNA sequencing of the nasal microbiota post-vaccination revealed not an overall change, but a decrease in certain opportunistic bacteria, mainly Fusobacterium. The decrease in these bacteria was more pronounced in those who exhibited nasal S-RBD IgA induction, and those with higher S-RBD IgA induction had lower relative amounts of potentially pathogenic bacteria such as Pseudomonas pre-vaccination. In addition, plasma and mucosal S-RBD IgG levels correlated with decreased commensal pathogens such as Finegoldia. CONCLUSIONS These findings suggest that the third dose of SARS-CoV-2 mRNA vaccination induced S-RBD antibodies in the nasal mucosa and may have stimulated mucosal immunity against opportunistic bacterial pathogens. This effect, albeit probably secondary, may be considered one of the benefits of mRNA vaccination. Furthermore, our data suggest that a cooperative function of mucosal and systemic immunity in the reduction of bacteria and provides a better understanding of the symbiotic relationship between the host and bacteria in the nasal mucosa.
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Affiliation(s)
- Aya Ishizaka
- Division of Infectious Diseases, Advanced Clinical Research Center, The Institute of Medical Science, The University of Tokyo, 4-6-1 Shirokanedai, Minato-ku, 108-8639, Tokyo, Japan
| | - Michiko Koga
- Division of Infectious Diseases, Advanced Clinical Research Center, The Institute of Medical Science, The University of Tokyo, 4-6-1 Shirokanedai, Minato-ku, 108-8639, Tokyo, Japan
| | - Taketoshi Mizutani
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, 5-1-5 Kashiwanoha Kashiwa 277, 8562, Chiba, Japan.
| | - Ryuta Uraki
- Division of Virology, Department of Microbiology and Immunology, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
- The Research Center for Global Viral Diseases, National Center for Global Health and Medicine Research Institute, Tokyo, Japan
| | - Seiya Yamayoshi
- Division of Virology, Department of Microbiology and Immunology, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
- The Research Center for Global Viral Diseases, National Center for Global Health and Medicine Research Institute, Tokyo, Japan
| | - Kiyoko Iwatsuki-Horimoto
- Division of Virology, Department of Microbiology and Immunology, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Shinya Yamamoto
- Division of Infectious Diseases, Advanced Clinical Research Center, The Institute of Medical Science, The University of Tokyo, 4-6-1 Shirokanedai, Minato-ku, 108-8639, Tokyo, Japan
- Division of Virology, Department of Microbiology and Immunology, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Masaki Imai
- Division of Virology, Department of Microbiology and Immunology, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
- The Research Center for Global Viral Diseases, National Center for Global Health and Medicine Research Institute, Tokyo, Japan
| | - Takeya Tsutsumi
- Department of Infectious Diseases and Applied Immunology, IMSUT Hospital of Institute of Medical Science, The University of Tokyo, Tokyo, Japan
- Department of Infectious Diseases, The University of Tokyo, Tokyo, Japan
| | - Yutaka Suzuki
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, 5-1-5 Kashiwanoha Kashiwa 277, 8562, Chiba, Japan
| | - Yoshihiro Kawaoka
- Division of Virology, Department of Microbiology and Immunology, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
- The Research Center for Global Viral Diseases, National Center for Global Health and Medicine Research Institute, Tokyo, Japan
- Influenza Research Institute, Department of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin-Madison, Madison, WI, USA
- Pandemic Preparedness, Infection and Advanced Research Center, The University of Tokyo, Tokyo, Japan
| | - Hiroshi Yotsuyanagi
- Division of Infectious Diseases, Advanced Clinical Research Center, The Institute of Medical Science, The University of Tokyo, 4-6-1 Shirokanedai, Minato-ku, 108-8639, Tokyo, Japan.
- Department of Infectious Diseases and Applied Immunology, IMSUT Hospital of Institute of Medical Science, The University of Tokyo, Tokyo, Japan.
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3
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Zhong J, Liu Y, Luo N, Wei Q, Su Q, Zou J, Wu X, Huang X, Jiang Y, Liang L, Li H, Lin J. Metagenomic next-generation sequencing for rapid detection of pulmonary infection in patients with acquired immunodeficiency syndrome. Ann Clin Microbiol Antimicrob 2023; 22:57. [PMID: 37430367 DOI: 10.1186/s12941-023-00608-9] [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: 03/22/2023] [Accepted: 07/05/2023] [Indexed: 07/12/2023] Open
Abstract
BACKGROUND Acquired immunodeficiency syndrome (AIDS) is associated with a high rate of pulmonary infections (bacteria, fungi, and viruses). To overcome the low sensitivity and long turnaround time of traditional laboratory-based diagnostic strategies, we adopted metagenomic next-generation sequencing (mNGS) technology to identify and classify pathogens. RESULTS This study enrolled 75 patients with AIDS and suspected pulmonary infections who were admitted to Nanning Fourth People's Hospital. Specimens were collected for traditional microbiological testing and mNGS-based diagnosis. The diagnostic yields of the two methods were compared to evaluate the diagnostic value (detection rate and turn around time) of mNGS for infections with unknown causative agent. Accordingly, 22 cases (29.3%) had a positive culture and 70 (93.3%) had positive valve mNGS results (P value < 0.0001, Chi-square test). Meanwhile, 15 patients with AIDS showed concordant results between the culture and mNGS, whereas only one 1 patient showed concordant results between Giemsa-stained smear screening and mNGS. In addition, mNGS identified multiple microbial infections (at least three pathogens) in almost 60.0% of patients with AIDS. More importantly, mNGS was able to detect a large variety of pathogens from patient tissue displaying potential infection and colonization, while culture results remained negative. There were 18 members of pathogens which were consistently detected in patients with and without AIDS. CONCLUSIONS In conclusion, mNGS analysis provides fast and precise pathogen detection and identification, contributing substantially to the accurate diagnosis, real-time monitoring, and treatment appropriateness of pulmonary infection in patients with AIDS.
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Affiliation(s)
- Juan Zhong
- Department of Traditional Chinese Medicine, The First People's Hospital of Nanning, Nanning, China.
| | - Yanfen Liu
- The Fourth People's Hospital of Nanning, Nanning, China
| | - Na Luo
- NanNing Center for Disease Control and Prevention, Nanning, China
| | - Qiu Wei
- Department of Traditional Chinese Medicine, The First People's Hospital of Nanning, Nanning, China
| | - Qisi Su
- The Fourth People's Hospital of Nanning, Nanning, China
| | - Jun Zou
- The Fourth People's Hospital of Nanning, Nanning, China
| | - Xiaozhong Wu
- Department of Traditional Chinese Medicine, The First People's Hospital of Nanning, Nanning, China
| | | | - Yuting Jiang
- Department of Traditional Chinese Medicine, The First People's Hospital of Nanning, Nanning, China
| | - Lijuan Liang
- Nanning Yunju Biotechnology Co., Ltd, Nanning, China
| | - Hongmian Li
- The People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, China.
| | - Jianyan Lin
- The First People's Hospital of Nanning, Nanning, China.
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Chee J, Pang KW, Low T, Wang DY, Subramaniam S. Epidemiology and aetiology of chronic rhinosinusitis in Asia-A narrative review. Clin Otolaryngol 2023; 48:305-312. [PMID: 35997660 DOI: 10.1111/coa.13971] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Revised: 07/13/2022] [Accepted: 07/29/2022] [Indexed: 11/27/2022]
Abstract
BACKGROUND Despite having a similar prevalence to Western populations, literature on chronic rhinosinusitis (CRS) in the Asian population is sparse. There is limited data on the epidemiology and aetiology of CRS in Asia. OBJECTIVES To review the current literature on the epidemiology and aetiology of CRS in Asia. METHODS This is a narrative review of published data on the epidemiology and aetiology of CRS. Studies on CRS in Asian countries, published in English and indexed on PubMed or Google Scholar were reviewed. Where available, data extracted included epidemiology, endotype and cytokine profiles and genetic profiles. RESULTS AND CONCLUSION The prevalence of CRS in Asia ranges widely from 2.1% to 28.4%. Type 2 inflammation has been reported in 5%-55% of Asian patients, with lower levels of Type 2 cytokines reported in head to head comparisons of Western versus Asian patients. Notably, there exists marked heterogeneity in criterion of the tissue eosinophilic infiltration for diagnosis of type 2 CRS. Our review suggests that differences in prevalence of CRS and proportion of eosinophilic CRS between Asia and Europe and the Americas requires further study. Large-scale Asian studies utilising standardised definitions are needed to bridge this gap. Head to head genetic and microbiomal analysis may also be useful in understanding differences in CRS between the Asian and Western populations.
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Affiliation(s)
- Jeremy Chee
- Department of Otolaryngology-Head & Neck Surgery, National University Health System, Singapore, Singapore
| | - Khang Wen Pang
- Department of Otolaryngology-Head & Neck Surgery, National University Health System, Singapore, Singapore
| | - Terese Low
- Department of Otolaryngology-Head & Neck Surgery, National University Health System, Singapore, Singapore
| | - De Yun Wang
- Department of Otolaryngology, Infectious Diseases Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Somasundaram Subramaniam
- Department of Otolaryngology-Head & Neck Surgery, National University Health System, Singapore, Singapore
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Tonelli Enrico V, Vo N, Methe B, Morris A, Sowa G. An unexpected connection: A narrative review of the associations between Gut Microbiome and Musculoskeletal Pain. EUROPEAN SPINE JOURNAL : OFFICIAL PUBLICATION OF THE EUROPEAN SPINE SOCIETY, THE EUROPEAN SPINAL DEFORMITY SOCIETY, AND THE EUROPEAN SECTION OF THE CERVICAL SPINE RESEARCH SOCIETY 2022; 31:3603-3615. [PMID: 36308543 PMCID: PMC9617047 DOI: 10.1007/s00586-022-07429-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Revised: 10/12/2022] [Accepted: 10/14/2022] [Indexed: 11/06/2022]
Abstract
PURPOSE Multiple diverse factors contribute to musculoskeletal pain, a major cause of physical dysfunction and health-related costs worldwide. Rapidly growing evidence demonstrates that the gut microbiome has overarching influences on human health and the body's homeostasis and resilience to internal and external perturbations. This broad role of the gut microbiome is potentially relevant and connected to musculoskeletal pain, though the literature on the topic is limited. Thus, the literature on the topic of musculoskeletal pain and gut microbiome was explored. METHODS This narrative review explores the vast array of reported metabolites associated with inflammation and immune-metabolic response, which are known contributors to musculoskeletal pain. Moreover, it covers known modifiable (e.g., diet, lifestyle choices, exposure to prescription drugs, pollutants, and chemicals) and non-modifiable factors (e.g., gut architecture, genetics, age, birth history, and early feeding patterns) that are known to contribute to changes to the gut microbiome. Particular attention is devoted to modifiable factors, as the ultimate goal of researching this topic is to implement gut microbiome health interventions into clinical practice. RESULTS Overall, numerous associations exist in the literature that could converge on the gut microbiome's pivotal role in musculoskeletal health. Particularly, a variety of metabolites that are either directly produced or indirectly modulated by the gut microbiome have been highlighted. CONCLUSION The review highlights noticeable connections between the gut and musculoskeletal health, thus warranting future research to focus on the gut microbiome's role in musculoskeletal conditions.
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Affiliation(s)
- Valerio Tonelli Enrico
- Ferguson Laboratory for Orthopaedic and Spine Research, Department of Orthopaedic Surgery, University of Pittsburgh Medical Center, University of Pittsburgh, 200 Lothrop Street, Room E1612, BST, Pittsburgh, PA, 15261, USA.
- Department of Physical Therapy, University of Pittsburgh, 100 Technology Dr, Pittsburgh, PA, 15219, USA.
| | - Nam Vo
- Ferguson Laboratory for Orthopaedic and Spine Research, Department of Orthopaedic Surgery, University of Pittsburgh Medical Center, University of Pittsburgh, 200 Lothrop Street, Room E1612, BST, Pittsburgh, PA, 15261, USA
| | - Barbara Methe
- Department of Medicine, Division of Pulmonary, Allergy and Critical Care Medicine, School of Medicine, University of Pittsburgh, 1218 Scaife Hall 3550 Terrace Street, Pittsburgh, PA, 15261, USA
| | - Alison Morris
- Department of Medicine, Division of Pulmonary, Allergy and Critical Care Medicine, School of Medicine, University of Pittsburgh, 1218 Scaife Hall 3550 Terrace Street, Pittsburgh, PA, 15261, USA
| | - Gwendolyn Sowa
- Ferguson Laboratory for Orthopaedic and Spine Research, Department of Orthopaedic Surgery, University of Pittsburgh Medical Center, University of Pittsburgh, 200 Lothrop Street, Room E1612, BST, Pittsburgh, PA, 15261, USA
- Department of Physical Medicine and Rehabilitation, School of Medicine, University of Pittsburgh, Kaufmann Medical Building, Suite 910, 3471 Fifth Avenue, Pittsburgh, PA, 15213, USA
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