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Background: Humans spend the majority of their time in the built environment and are exposed to the microbial populations that inhabit it. These communities are diverse, containing both putative commensal and pathogenic human-associated microbes that tend to be shaped by the architectural elements of the indoor places they colonize. Therefore, a predictive understanding of the characteristics of hospital microbial populations associated with the occurrence of healthcare-associated infections (HAIs) might have consequences for both human health protection and future hospital operation and design. Sunlight is an essential aspect of hospital layout and has long been seen as a possible barrier to disease transmission owing to its bactericidal properties. Objectives: To evaluate the impacts of spatial and light exposure on the structure of the hospital microbiota, we analyzed 16S rRNA gene amplicon sequencing data from 60 samples collected from three different locations in 10 patient rooms. These rooms were exposed to two types of light: natural and electric. The data analyzed are available in the SRA database under the accession number PRJNA928218. The sampling locations within each room included the window, air duct, and air filter. Results: Firmicutes dominated the window, air filter, and duct samples. The Simpson and Shannon diversity indices were significantly different among the three locations, with p = 0.007 and p = 0.0009, respectively. Similarly, a significant difference (p = 0.001) in beta diversity was detected among the samples from the three locations. When the lighting type in the room was considered, we also found that Firmicutes was the most abundant phylum under electric and natural light conditions, with Proteobacteria being the second most abundant phylum under natural light and Actinobacteria being the second most prevalent under electric light. However, no significant differences in the alpha (Shannon (p = 0.627), Simpson (p = 0.674), or beta diversity (p = 0.268) indices were detected between the natural and electric light exposures. Conclusions: Although spatial bacterial variations have been shown, the present study revealed that light type does not strongly affect the diversity of the microbiota in patient rooms. Although the transmission of sunlight via windows is a substantial design factor, the influence of light exposure on bacterial communities remains uncertain. Therefore, further larger-scale studies should be conducted to reveal the impacts of this building design driver on the hospital microbiome.

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Spatial and Daylight Exposure Effects on the Patient Room Microbiome in a Clinical Setting

  • 会议论文

  • 发表日期：

    2025年

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  • Islam El Jaddaoui,
  • Wajih Rhalem,
  • Abderrazak Rfaki,
  • Salsabil Hamdi,
  • Najib Al Idrissi,
  • Lahoucine Bahi,
  • Youssef Bakri,
  • Hassan Ghazal

摘要

Background: Humans spend the majority of their time in the built environment and are exposed to the microbial populations that inhabit it. These communities are diverse, containing both putative commensal and pathogenic human-associated microbes that tend to be shaped by the architectural elements of the indoor places they colonize. Therefore, a predictive understanding of the characteristics of hospital microbial populations associated with the occurrence of healthcare-associated infections (HAIs) might have consequences for both human health protection and future hospital operation and design. Sunlight is an essential aspect of hospital layout and has long been seen as a possible barrier to disease transmission owing to its bactericidal properties. Objectives: To evaluate the impacts of spatial and light exposure on the structure of the hospital microbiota, we analyzed 16S rRNA gene amplicon sequencing data from 60 samples collected from three different locations in 10 patient rooms. These rooms were exposed to two types of light: natural and electric. The data analyzed are available in the SRA database under the accession number PRJNA928218. The sampling locations within each room included the window, air duct, and air filter. Results: Firmicutes dominated the window, air filter, and duct samples. The Simpson and Shannon diversity indices were significantly different among the three locations, with p = 0.007 and p = 0.0009, respectively. Similarly, a significant difference (p = 0.001) in beta diversity was detected among the samples from the three locations. When the lighting type in the room was considered, we also found that Firmicutes was the most abundant phylum under electric and natural light conditions, with Proteobacteria being the second most abundant phylum under natural light and Actinobacteria being the second most prevalent under electric light. However, no significant differences in the alpha (Shannon (p = 0.627), Simpson (p = 0.674), or beta diversity (p = 0.268) indices were detected between the natural and electric light exposures. Conclusions: Although spatial bacterial variations have been shown, the present study revealed that light type does not strongly affect the diversity of the microbiota in patient rooms. Although the transmission of sunlight via windows is a substantial design factor, the influence of light exposure on bacterial communities remains uncertain. Therefore, further larger-scale studies should be conducted to reveal the impacts of this building design driver on the hospital microbiome.