建造環境における微生物叢の特徴と人体に及ぼす影響の理解に向けて
DOI:
https://doi.org/10.51094/jxiv.169キーワード:
建造環境、 微生物群集、 抗生剤耐性、 自己免疫疾患、 感染症抄録
ヒトは用途に応じて複数の建造環境を使い分けながら1日の大半を建造環境内で過ごしている。近年、「建造環境の微生物叢 (MoBE)」の網羅的な解明が進んでいる。建造環境では、屋外環境などの一部やヒト自体が微生物の供給源となり多様な微生物が持ち込まれ、独自の微生物生態系が構築されている。その動態は、季節などの自然要因のみならず、換気、建材、設計手法などの人的要因によっても変化する。本論文では初めに、ヒト、環境、微生物における相互作用や関係によって生じるMoBEの構成要因を説明する。次に、建造環境における薬剤耐性菌の発生プロセスと感染症拡大につながるリスク要因を評価する。さらに、都市化に伴いヒトが多様な微生物に曝露する機会が減少することによって生じる免疫発達への影響など、MoBEが与えるヒトの健康への影響についても議論する。以上の通りMoBEの重要性が明らかになりつつある一方で、複雑性の高いMoBEから一貫した特徴を検出するためには解決すべき課題が多くある。MoBEの複雑性が高いのは、微生物の発生源が無数に存在し、同時にヒトの活動、建築設計や屋外の土地利用など多様なパラメータが存在するからである。さらに、MoBEを解明するための生物学的実験・解析手法にはいくつかの技術的な制限がある。MoBEを人為的に管理することで健康、快適性、生産性等を向上させるためには、さらなる研究が必要である。
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引用文献
Gilbert, J. A. & Stephens, B. Microbiology of the built environment. Nat. Rev. Microbiol. 16, 661–670 (2018).
Microbiology of the Built Environment. https://sloan.org/programs/research/microbiology-of-the-built-environment.
Microbiology of the built environment. https://www.biomedcentral.com/collections/builtenvironment.
Quintal-Gomes, A. Microorganisms. https://www.mdpi.com/journal/microorganisms/special_issues/microbes_built_environment.
National Academies of Sciences, Engineering, and Medicine et al. Microbiomes of the Built Environment: A Research Agenda for Indoor Microbiology, Human Health, and Buildings. (National Academies Press (US), 2017).
Klepeis, N. E. et al. The National Human Activity Pattern Survey (NHAPS): a resource for assessing exposure to environmental pollutants. J. Expo. Anal. Environ. Epidemiol. 11, 231–252 (2001).
Sender, R., Fuchs, S. & Milo, R. Revised Estimates for the Number of Human and Bacteria Cells in the Body. PLoS Biol. 14, e1002533 (2016).
Bhangar, S. et al. Chamber bioaerosol study: human emissions of size-resolved fluorescent biological aerosol particles. Indoor Air 26, 193–206 (2016).
Ross, A. A. & Neufeld, J. D. Microbial biogeography of a university campus. Microbiome 3, 66 (2015).
Kembel, S. W. et al. Architectural design drives the biogeography of indoor bacterial communities. PLoS One 9, e87093 (2014).
Dunn, R. R., Fierer, N., Henley, J. B., Leff, J. W. & Menninger, H. L. Home life: factors structuring the bacterial diversity found within and between homes. PLoS One 8, e64133 (2013).
Qian, J., Hospodsky, D., Yamamoto, N., Nazaroff, W. W. & Peccia, J. Size-resolved emission rates of airborne bacteria and fungi in an occupied classroom. Indoor Air 22, 339–351 (2012).
Adams, R. I. et al. Ten questions concerning the microbiomes of buildings. Build. Environ. 109, 224–234 (2016).
Meadow, J. F. et al. Bacterial communities on classroom surfaces vary with human contact. Microbiome 2, 7 (2014).
Ruiz-Calderon, J. F. et al. Walls talk: Microbial biogeography of homes spanning urbanization. Sci Adv 2, e1501061 (2016).
Hsu, T. et al. Urban Transit System Microbial Communities Differ by Surface Type and Interaction with Humans and the Environment. mSystems 1, (2016).
Lax, S. et al. Bacterial colonization and succession in a newly opened hospital. Sci. Transl. Med. 9, (2017).
Parajuli, A. et al. Urbanization Reduces Transfer of Diverse Environmental Microbiota Indoors. Front. Microbiol. 9, 84 (2018).
Kirjavainen, P. V. et al. Farm-like indoor microbiota in non-farm homes protects children from asthma development. Nat. Med. 25, 1089–1095 (2019).
Afshinnekoo, E. et al. Geospatial Resolution of Human and Bacterial Diversity with City-Scale Metagenomics. Cell Syst 1, 72–87 (2015).
Knights, D. et al. Bayesian community-wide culture-independent microbial source tracking. Nat. Methods 8, 761–763 (2011).
Lax, S. et al. Longitudinal analysis of microbial interaction between humans and the indoor environment. Science 345, 1048–1052 (2014).
Ichijo, T., Yamaguchi, N., Tanigaki, F., Shirakawa, M. & Nasu, M. Four-year bacterial monitoring in the International Space Station-Japanese Experiment Module ‘Kibo’ with culture-independent approach. NPJ Microgravity 2, 16007 (2016).
Avila-Herrera, A. et al. Crewmember microbiome may influence microbial composition of ISS habitable surfaces. PLoS One 15, e0231838 (2020).
Richardson, M., Gottel, N., Gilbert, J. A. & Lax, S. Microbial Similarity between Students in a Common Dormitory Environment Reveals the Forensic Potential of Individual Microbial Signatures. MBio 10, (2019).
Kettleson, E. M. et al. Key determinants of the fungal and bacterial microbiomes in homes. Environ. Res. 138, 130–135 (2015).
Gupta, S. et al. Environmental shaping of the bacterial and fungal community in infant bed dust and correlations with the airway microbiota. Microbiome 8, 115 (2020).
Meadow, J. F. et al. Indoor airborne bacterial communities are influenced by ventilation, occupancy, and outdoor air source. Indoor Air 24, 41–48 (2014).
Kembel, S. W. et al. Architectural design influences the diversity and structure of the built environment microbiome. ISME J. 6, 1469–1479 (2012).
Leung, M. H. Y., Wilkins, D., Li, E. K. T., Kong, F. K. F. & Lee, P. K. H. Indoor-air microbiome in an urban subway network: diversity and dynamics. Appl. Environ. Microbiol. 80, 6760–6770 (2014).
Walker, A. R., Grimes, T. L., Datta, S. & Datta, S. Unraveling bacterial fingerprints of city subways from microbiome 16S gene profiles. Biol. Direct 13, 10 (2018).
Mahnert, A. et al. Man-made microbial resistances in built environments. Nat. Commun. 10, 968 (2019).
Robinson, J. M. et al. Vertical stratification in urban green space aerobiomes. Environ. Health Perspect. 128, 117008 (2020).
Zhu, Y.-G. et al. Soil biota, antimicrobial resistance and planetary health. Environ. Int. 131, 105059 (2019).
Kang, K. et al. The Environmental Exposures and Inner- and Intercity Traffic Flows of the Metro System May Contribute to the Skin Microbiome and Resistome. Cell Rep. 24, 1190–1202.e5 (2018).
Gohli, J. et al. The subway microbiome: seasonal dynamics and direct comparison of air and surface bacterial communities. Microbiome 7, 160 (2019).
Cobrado, L., Silva-Dias, A., Azevedo, M. M. & Rodrigues, A. G. High-touch surfaces: microbial neighbours at hand. Eur. J. Clin. Microbiol. Infect. Dis. 36, 2053–2062 (2017).
Koca, O., Altoparlak, U., Ayyildiz, A. & Kaynar, H. Persistence of nosocomial pathogens on various fabrics. Eurasian J Med 44, 28–31 (2012).
Chen, J.-C. et al. Survival of Bacterial Strains on Wood (Quercus petraea) Compared to Polycarbonate, Aluminum and Stainless Steel. Antibiotics (Basel) 9, (2020).
Vargas-Robles, D., Gonzalez-Cedillo, C., Hernandez, A. M., Alcaraz, L. D. & Peimbert, M. Passenger-surface microbiome interactions in the subway of Mexico City. PLoS One 15, e0237272 (2020).
Lopez, G. U. et al. Transfer efficiency of bacteria and viruses from porous and nonporous fomites to fingers under different relative humidity conditions. Appl. Environ. Microbiol. 79, 5728–5734 (2013).
Kokubo, M. et al. Relationship between the Microbiome and Indoor Temperature/Humidity in a Traditional Japanese House with a Thatched Roof in Kyoto, Japan. Diversity 13, 475 (2021).
Hobday, R. A. & Dancer, S. J. Roles of sunlight and natural ventilation for controlling infection: historical and current perspectives. J. Hosp. Infect. 84, 271–282 (2013).
Fahimipour, A. K. et al. Daylight exposure modulates bacterial communities associated with household dust. Microbiome 6, 175 (2018).
O’Neill, J. Tackling drug-resistant infections globally: final report and recommendations. Government of the United Kingdom (2016).
Subirats, J., Sànchez-Melsió, A., Borrego, C. M., Balcázar, J. L. & Simonet, P. Metagenomic analysis reveals that bacteriophages are reservoirs of antibiotic resistance genes. Int. J. Antimicrob. Agents 48, 163–167 (2016).
Marathe, N. P. et al. Sewage effluent from an Indian hospital harbors novel carbapenemases and integron-borne antibiotic resistance genes. Microbiome 7, 97 (2019).
Manoharan, R. K., Srinivasan, S., Shanmugam, G. & Ahn, Y.-H. Shotgun metagenomic analysis reveals the prevalence of antibiotic resistance genes and mobile genetic elements in full scale hospital wastewater treatment plants. J. Environ. Manage. 296, 113270 (2021).
Chng, K. R. et al. Cartography of opportunistic pathogens and antibiotic resistance genes in a tertiary hospital environment. Nat. Med. 26, 941–951 (2020).
Gupta, M., Lee, S., Bisesi, M. & Lee, J. Indoor Microbiome and Antibiotic Resistance on Floor Surfaces: An Exploratory Study in Three Different Building Types. Int. J. Environ. Res. Public Health 16, (2019).
He, P. et al. Characteristics of and variation in airborne ARGs among urban hospitals and adjacent urban and suburban communities: A metagenomic approach. Environ. Int. 139, 105625 (2020).
Halden, R. U. On the need and speed of regulating triclosan and triclocarban in the United States. Environ. Sci. Technol. 48, 3603–3611 (2014).
Office of the Commissioner. FDA issues final rule on safety and effectiveness of antibacterial soaps. https://www.fda.gov/news-events/press-announcements/fda-issues-final-rule-safety-and-effectiveness-antibacterial-soaps (2016).
Chen, J., Hartmann, E. M., Kline, J., Van Den Wymelenberg, K. & Halden, R. U. Assessment of human exposure to triclocarban, triclosan and five parabens in U.S. indoor dust using dispersive solid phase extraction followed by liquid chromatography tandem mass spectrometry. J. Hazard. Mater. 360, 623–630 (2018).
Fahimipour, A. K. et al. Antimicrobial Chemicals Associate with Microbial Function and Antibiotic Resistance Indoors. mSystems 3, (2018).
Hartmann, E. M. et al. Antimicrobial Chemicals Are Associated with Elevated Antibiotic Resistance Genes in the Indoor Dust Microbiome. Environ. Sci. Technol. 50, 9807–9815 (2016).
Chuanchuen, R. et al. Cross-resistance between triclosan and antibiotics in Pseudomonas aeruginosa is mediated by multidrug efflux pumps: exposure of a susceptible mutant strain to triclosan selects nfxB mutants overexpressing MexCD-OprJ. Antimicrob. Agents Chemother. 45, 428–432 (2001).
D’Costa, V. M., McGrann, K. M., Hughes, D. W. & Wright, G. D. Sampling the antibiotic resistome. Science 311, 374–377 (2006).
Vrijheid, M. The exposome: a new paradigm to study the impact of environment on health. Thorax 69, 876–878 (2014).
Dai, D. et al. Factors Shaping the Human Exposome in the Built Environment: Opportunities for Engineering Control. Environ. Sci. Technol. 51, 7759–7774 (2017).
Nazaroff, W. W. The air around us. Indoor Air 28, 3–5 (2018).
Oberauner, L. et al. The ignored diversity: complex bacterial communities in intensive care units revealed by 16S pyrosequencing. Sci. Rep. 3, 1413 (2013).
McCall, L.-I. et al. Home chemical and microbial transitions across urbanization. Nat Microbiol 5, 108–115 (2020).
Doron, S. & Gorbach, S. L. Bacterial Infections: Overview. International Encyclopedia of Public Health 273 (2008).
Riley, R. L. et al. Infectiousness of air from a tuberculosis ward. Ultraviolet irradiation of infected air: comparative infectiousness of different patients. Am. Rev. Respir. Dis. 85, 511–525 (1962).
Fennelly, K. P. Variability of airborne transmission of Mycobacterium tuberculosis: implications for control of tuberculosis in the HIV era. Clinical infectious diseases: an official publication of the Infectious Diseases Society of America vol. 44 1358–1360 (2007).
Weis, C. P. et al. Secondary aerosolization of viable Bacillus anthracis spores in a contaminated US Senate Office. JAMA 288, 2853–2858 (2002).
McDonald, L. C. et al. Outbreak of Acinetobacter spp. bloodstream infections in a nursery associated with contaminated aerosols and air conditioners. Pediatr. Infect. Dis. J. 17, 716–722 (1998).
Blatny, J. M. et al. Tracking airborne Legionella and Legionella pneumophila at a biological treatment plant. Environ. Sci. Technol. 42, 7360–7367 (2008).
Mahlen, S. D. Serratia infections: from military experiments to current practice. Clin. Microbiol. Rev. 24, 755–791 (2011).
Vedantam, G. et al. Clostridium difficile infection: toxins and non-toxin virulence factors, and their contributions to disease establishment and host response. Gut Microbes 3, 121–134 (2012).
Otter, J. A., Yezli, S. & French, G. L. The role played by contaminated surfaces in the transmission of nosocomial pathogens. Infect. Control Hosp. Epidemiol. 32, 687–699 (2011).
Keesing, F. et al. Impacts of biodiversity on the emergence and transmission of infectious diseases. Nature 468, 647–652 (2010).
Johnson, P. T. J., Ostfeld, R. S. & Keesing, F. Frontiers in research on biodiversity and disease. Ecol. Lett. 18, 1119–1133 (2015).
Yousuf, B. & Mishra, A. Chapter 29 - Exploring Human Bacterial Diversity Toward Prevention of Infectious Disease and Health Promotion. in Microbial Diversity in the Genomic Era (eds. Das, S. & Dash, H. R.) 519–533 (Academic Press, 2019).
Haahtela, T. et al. The biodiversity hypothesis and allergic disease: world allergy organization position statement. World Allergy Organ. J. 6, 3 (2013).
Haahtela, T. A biodiversity hypothesis. Allergy 74, 1445–1456 (2019).
von Hertzen, L., Hanski, I. & Haahtela, T. Natural immunity. Biodiversity loss and inflammatory diseases are two global megatrends that might be related. EMBO Rep. 12, 1089–1093 (2011).
Okada, H., Kuhn, C., Feillet, H. & Bach, J.-F. The ‘hygiene hypothesis’ for autoimmune and allergic diseases: an update. Clin. Exp. Immunol. 160, 1–9 (2010).
Daley, D. The evolution of the hygiene hypothesis: the role of early-life exposures to viruses and microbes and their relationship to asthma and allergic diseases. Curr. Opin. Allergy Clin. Immunol. 14, 390–396 (2014).
Ege, M. J. et al. Exposure to environmental microorganisms and childhood asthma. N. Engl. J. Med. 364, 701–709 (2011).
Campbell, B. et al. The effects of growing up on a farm on adult lung function and allergic phenotypes: an international population-based study. Thorax 72, 236–244 (2017).
Roslund, M. I. et al. Biodiversity intervention enhances immune regulation and health-associated commensal microbiota among daycare children. Sci Adv 6, (2020).
Mills, J. G. et al. Relating Urban Biodiversity to Human Health With the ‘Holobiont’ Concept. Front. Microbiol. 10, 550 (2019).
Robinson, J. M. & Breed, M. F. Green Prescriptions and Their Co-Benefits: Integrative Strategies for Public and Environmental Health. Challenges 10, 9 (2019).
Emerson, J. B. et al. Schrödinger’s microbes: Tools for distinguishing the living from the dead in microbial ecosystems. Microbiome 5, 86 (2017).
Nocker, A., Sossa-Fernandez, P., Burr, M. D. & Camper, A. K. Use of propidium monoazide for live/dead distinction in microbial ecology. Appl. Environ. Microbiol. 73, 5111–5117 (2007).
Wang, Y. et al. Whole microbial community viability is not quantitatively reflected by propidium monoazide sequencing approach. Microbiome 9, 17 (2021).
Leek, J. T. et al. Tackling the widespread and critical impact of batch effects in high-throughput data. Nat. Rev. Genet. 11, 733–739 (2010).
Weiss, S. et al. Tracking down the sources of experimental contamination in microbiome studies. Genome Biol. 15, 564 (2014).
Adams, R. I., Bateman, A. C., Bik, H. M. & Meadow, J. F. Microbiota of the indoor environment: a meta-analysis. Microbiome 3, 49 (2015).
Danko, D. et al. A global metagenomic map of urban microbiomes and antimicrobial resistance. Cell 184, 3376–3393.e17 (2021).
MetaSUB International Consortium. The Metagenomics and Metadesign of the Subways and Urban Biomes (MetaSUB) International Consortium inaugural meeting report. Microbiome 4, 24 (2016).
Glass, E. M. et al. MIxS-BE: a MIxS extension defining a minimum information standard for sequence data from the built environment. ISME J. 8, 1–3 (2014).
Ramos, T. & Stephens, B. Tools to improve built environment data collection for indoor microbial ecology investigations. Build. Environ. 81, 243–257 (2014).
Ali, A. S., Zanzinger, Z., Debose, D. & Stephens, B. Open Source Building Science Sensors (OSBSS): A low-cost Arduino-based platform for long-term indoor environmental data collection. Build. Environ. 100, 114–126 (2016).
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