Airway microbiome is associated with respiratory functions and responses to ambient particulate matter exposure

Wang, Liping; Cheng, Haoxiang; Wang, Dongbin; Zhao, Bo; Zhang, Jushan; Lü, Cheng; Yao, Pengfei; Narzo, Antonio Di; Shen, Yuan; Yu, Jing; Li, Yuanyuan; Xu, Shunqing; Chen, Jia; Fan, Lihong; Lu, Jianwei; Jiang, Jingkun; Zhou, Yang; Wang, Changhui; Zhang, Zhongyang; Hao, Ke

doi:10.1016/j.ecoenv.2018.09.079

Cited by 58 publications

(51 citation statements)

References 42 publications

(50 reference statements)

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“…Alterations in the bacterial dynamic ecosystem can directly influence immune homeostasis and aggravate inflammatory diseases (Rakoff-Nahoum et al, 2004;Pascal et al, 2018). Recent studies have shown that PM 2.5 exposure causes bacterial community dysbiosis and exacerbate disease development (Mariani et al, 2018;Qin et al, 2019;Wang et al, 2019). However, whether PM 2.5 influences respiratory microbiota distribution and facilitates bacterial infection remains unknown.…”

Section: Introductionmentioning

confidence: 99%

Fine Particulate Matter Exposure Alters Pulmonary Microbiota Composition and Aggravates Pneumococcus-Induced Lung Pathogenesis

Chen

Lin

et al. 2020

Front. Cell Dev. Biol.

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Exposure to fine particulate matter (PM) with aerodynamic diameter ≤2.5 µm (PM 2.5) is closely correlated with respiratory diseases. Microbiota plays a key role in maintaining body homeostasis including regulation of host immune status and metabolism. As reported recently, PM 2.5 exposure causes microbiota dysbiosis and thus promotes disease progression. However, whether PM 2.5 alters pulmonary microbiota distribution and aggravates bacteria-induced pathogenesis remains unknown. In this study, we used mouse experimental models of PM 2.5 exposure combined with Streptococcus pneumonia infection. We characterized the airway microbiota of bronchoalveolar lavage fluid (BALF) by sequencing the 16S rRNA V3-V4 amplicon on the Illumina MiSeq platform, followed by a combination of bioinformatics and statistical analyses. Shannon-diversity index, observed ASVs, and Fisher's diversity index indicated that microbiota richness was significantly decreased in the mice treated with either PM 2.5 or pneumococcus when compared with the control group. The genera Streptococcus, Prevotella, Leptotrichia, and Granulicatella were remarkably increased in mice exposed to PM 2.5 combined with pneumococcal infection as compared to mice with pneumococcal infection alone. Histopathological examination exhibited that a more pronounced inflammation was present in lungs of mice treated with PM 2.5 and pneumococcus than that in mouse groups exposed to either PM 2.5 or pneumococcal infection alone. Our results demonstrate that PM 2.5 alters the microbiota composition, thereby enhancing susceptibility to pneumococcal infection and exacerbating lung pathogenesis.

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Section: Introductionmentioning

confidence: 99%

Fine Particulate Matter Exposure Alters Pulmonary Microbiota Composition and Aggravates Pneumococcus-Induced Lung Pathogenesis

Chen

Lin

et al. 2020

Front. Cell Dev. Biol.

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“…PM 2.5 exposure is associated with increased all-cause and respiratory mortality, impaired lung function, exacerbations of chronic lung diseases, lung cancer, even Acute Respiratory Distress Syndrome (ARDS) [28][29][30][31][32][33][34]. Some studies have found that PM 2.5 exposure could alter human pharyngeal [18], airways [17] and gut microbiota composition [35] because atmospheric particulate matter commonly carries microbes rich in Firmicutes, Proteobacteria and Bacteroidetes phyla [36]. During our study period, the concentration of PM 2.5 is very high in the week around timepoint D30.…”

Section: The Effects Of Azithromycin On Airway Microbial Interactionsmentioning

confidence: 99%

“…Recent studies in healthy murine show that lung communities clustered signi cantly by various environmental sources (vendors, cages and shipments) [3]. The exposure to elevated levels of PM 2.5 contributes to the change in sputum and pharyngeal microbiota composition, even in the healthy cohort [17,18].…”

Section: Introductionmentioning

confidence: 99%

Azithromycin exposure induces transient microbial composition shifts and decreases the airway microbiota resilience from PM2.5 stress in healthy adults: a randomized, double-blind, placebo-controlled trial

Du¹,

Zou²,

Deng³

et al. 2020

Preprint

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Background: Azithromycin, widely used in recent years, can change the airway microbiota in patients with chronic lung diseases. Little data exists regarding the effects of azithromycin administration on airway microbiota among healthy adults. Therefore, we conducted a randomized, double-blind, placebo-controlled trial to assess the process of variation and re-establishment of the airway microbiota after azithromycin exposure in healthy adults. Methods: Forty-eight healthy volunteers were enrolled and randomly assigned into two groups. 500mg azithromycin or placebo was administered once daily for 3 days. We collected the induced sputum at the day before the drugs administration (D0), the day after the treatment course was completed (D4), 14 days, 30 days and 60 days post-dosing. 16S rRNA gene sequencing and quantification were applied to the induced sputum samples. We collected the environmental information including air quality data [particulate matter (PM 2.5 ) and PM 10 , air quality index (AQI) values] that might have an influence on the airway microbiota during the study. The subjects’ respiratory tract infection (RTI) events during sampling were recorded. Results: Azithromycin didn’t alter bacterial load but significantly reduced species richness and Shannon index. Azithromycin exposure resulted in decrease in the detection rate and relative abundance of different families belonging to Veillonellaceae , Pasteurellaceae , Leptotrichiaceae , Neisseriaceae and Fusobacteriaceae . By contrast, the relative abundance of taxa belonging to Streptococcus increased immediately after azithromycin intervention. The shifts in the microbial community composition require about 14 days to recover while alpha-diversity recovered later. The high concentration of PM 2.5 contributed to a novel variability in microbial community composition of azithromycin group at D30 (30 days after baseline). The network analysis found that azithromycin altered the microbial interactions within airway microbiota. The influence was still obvious at D14 when the relative abundance of most taxa had returned to the baseline level. Conclusions: Azithromycin has transient effect in airway microbiota of healthy adults and decreases the ability of the airway microbiota resilient from PM 2.5 stress. The influence of azithromycin on microbial interactions is noteworthy though the airway microbiota has returned to the near-baseline level.Registration: Chinese Clinical Trial Registry (ChiCTR1800018494), September, 2018. http://www.chictr.org.cn/edit.aspx?pid=31269&htm=4

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“…PM 2.5 exposure is associated with increased all-cause and respiratory mortality, impaired lung function, exacerbations of chronic lung diseases, lung cancer, even Acute Respiratory Distress Syndrome (ARDS) [27][28][29][30][31][32][33]. Some studies have found that PM 2.5 exposure could alter human pharyngeal [18], airways [17] and gut microbiota composition [34] because atmospheric particulate matter commonly carries microbes rich in Firmicutes, Proteobacteria and Bacteroidetes phyla [35].…”

Section: The Effects Of Azithromycin On Airway Microbial Interactionsmentioning

confidence: 99%

“…Recent healthy murine studies show that lung communities clustered significantly by various environmental sources (vendors, cages and shipments) [3]. The exposure to elevated levels of PM 2.5 contributes to the change in sputum and pharyngeal microbiota composition, even in the healthy cohort [17,18].…”

Section: Introductionmentioning

confidence: 99%

Azithromycin exposure induces transient microbial composition shifts and decreases the airway microbiota resilience from PM2.5 stress in healthy adults: a randomized, double-blind, placebo-controlled trail.

Zou

Deng

et al. 2020

Preprint

View full text Add to dashboard Cite

Background Azithromycin, widely used in recent years, can change the airway microbiota in patients with chronic lung diseases. Little data exists regarding the effects of azithromycin administration on airway microbiota among healthy adults. Therefore, we conducted a randomized, double-blind, placebo-controlled trial to assess the process of variation and re-establishment of the airway microbiota after azithromycin exposure in healthy adults. Methods Forty-eight healthy volunteers were enrolled and randomly assigned into two groups. 500mg azithromycin or placebo was administered once daily for 3 days. We collected the induced sputum at the day before the drugs administration (D0), the day after the treatment course was completed (D4), 14 days, 30 days and 60 days post-dosing. 16S rRNA gene sequencing and quantification were applied to the induced sputum samples. We collected the environmental information including air quality data [particulate matter (PM 2.5 ) and PM 10 , air quality index (AQI) values] that might have an influence on the airway microbiota during the study. The subjects’ respiratory tract infection (RTI) events during sampling were recorded. Results Azithromycin didn’t alter bacterial load but significantly reduced species richness and Shannon index. Azithromycin exposure resulted in decrease in the detection rate and relative abundance of different families belonging to Veillonellaceae , Pasteurellaceae , Leptotrichiaceae , Neisseriaceae and Fusobacteriaceae . By contrast, the relative abundance of taxa belonging to Streptococcus increased immediately after azithromycin intervention. The shifts in the microbial community composition require about 14 days to recover while alpha-diversity recovered later. The high concentration of PM 2.5 contributed to a novel variability in microbial community composition of azithromycin group at D30 (30 days after baseline). The network analysis found that azithromycin altered the microbial interactions within airway microbiota. The influence was still obvious at D14 when the relative abundance of most taxa had returned to the baseline level. Conclusions Azithromycin has transient effect in airway microbiota of healthy adults and decreases the ability of the airway microbiota resilient from PM 2.5 stress. The influence of azithromycin on microbial interactions is noteworthy though the airway microbiota has returned to the near-baseline level.

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Airway microbiome is associated with respiratory functions and responses to ambient particulate matter exposure

Cited by 58 publications

References 42 publications

Fine Particulate Matter Exposure Alters Pulmonary Microbiota Composition and Aggravates Pneumococcus-Induced Lung Pathogenesis

Fine Particulate Matter Exposure Alters Pulmonary Microbiota Composition and Aggravates Pneumococcus-Induced Lung Pathogenesis

Azithromycin exposure induces transient microbial composition shifts and decreases the airway microbiota resilience from PM2.5 stress in healthy adults: a randomized, double-blind, placebo-controlled trial

Azithromycin exposure induces transient microbial composition shifts and decreases the airway microbiota resilience from PM2.5 stress in healthy adults: a randomized, double-blind, placebo-controlled trail.

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