Composition and diversity analysis of the lung microbiome in patients with suspected ventilator-associated pneumonia

被引:31
作者
Fenn, Dominic [1 ,3 ]
Abdel-Aziz, Mahmoud, I [1 ,3 ]
van Oort, Pouline M. P. [2 ,3 ]
Brinkman, Paul [1 ,3 ]
Ahmed, Waqar M. [3 ,4 ]
Felton, Timothy [3 ,4 ]
Artigas, Antonio [3 ,4 ]
Povoa, Pedro [3 ,5 ]
Martin-Loeches, Ignacio [3 ,6 ]
Schultz, Marcus J. [3 ,7 ]
Dark, Paul [3 ,4 ]
Fowler, Stephen J. [3 ,4 ]
Bos, Lieuwe D. J. [3 ,7 ]
机构
[1] Univ Amsterdam, Dept Resp Med, Amsterdam UMC Locat, Meibergdreef 9, Amsterdam, Netherlands
[2] Univ Amsterdam, Dept Anaesthesiol, Amsterdam UMC Locat, Meibergdreef 9, Amsterdam, Netherlands
[3] Univ Manchester, Fac Biol Med & Hlth, Div Immunol Immun Infect & Resp Med, Manchester, Lancs, England
[4] Univ Autonoma Barcelona, Corp Sanitaria Univ Parc Tauli, Crit Care Dept, CIBER Enfermedades Resp, Sabadell, Spain
[5] Univ Nova Lisboa, Hosp Sao Francisco Xavier, Ctr Hosp Lisboa Ocidental, CHRC,NOVA Med Sch, Estr Forte do Alto Duque, P-1449005 Lisbon, Portugal
[6] St James Hosp, Dept Intens Care Med, Multidisciplinary Intens Care Res Org MICRO, James St, Dublin, Ireland
[7] Univ Amsterdam, Dept Intens Care, Amsterdam UMC Locat, Meibergdreef 9, Amsterdam, Netherlands
关键词
Ventilator-associated pneumonia; Microbiome; Next-generation sequencing; INFECTIONS; PATHOGENS; DIAGNOSIS; IMPACT;
D O I
10.1186/s13054-022-04068-z
中图分类号
R4 [临床医学];
学科分类号
1002 ; 100602 ;
摘要
Background Ventilator-associated pneumonia (VAP) is associated with high morbidity and health care costs, yet diagnosis remains a challenge. Analysis of airway microbiota by amplicon sequencing provides a possible solution, as pneumonia is characterised by a disruption of the microbiome. However, studies evaluating the diagnostic capabilities of microbiome analysis are limited, with a lack of alignment on possible biomarkers. Using bronchoalveolar lavage fluid (BALF) from ventilated adult patients suspected of VAP, we aimed to explore how key characteristics of the microbiome differ between patients with positive and negative BALF cultures and whether any differences could have a clinically relevant role. Methods BALF from patients suspected of VAP was analysed using 16s rRNA sequencing in order to: (1) differentiate between patients with and without a positive culture; (2) determine if there was any association between microbiome diversity and local inflammatory response; and (3) correctly identify pathogens detected by conventional culture. Results Thirty-seven of 90 ICU patients with suspected VAP had positive cultures. Patients with a positive culture had significant microbiome dysbiosis with reduced alpha diversity. However, gross compositional variance was not strongly associated with culture positivity (AUROCC range 0.66-0.71). Patients with a positive culture had a significantly higher relative abundance of pathogenic bacteria compared to those without [0.45 (IQR 0.10-0.84), 0.02 (IQR 0.004-0.09), respectively], and an increased interleukin (IL)-1 beta was associated with reduced species evenness (r(s) = - 0.33, p < 0.01) and increased pathogenic bacteria presence (r(s) = 0.28, p = 0.013). Untargeted 16s rRNA pathogen detection was limited by false positives, while the use of pathogen-specific relative abundance thresholds showed better diagnostic accuracy (AUROCC range 0.89-0.998). Conclusion Patients with positive BALF culture had increased dysbiosis and genus dominance. An increased caspase-1-dependent IL-1b expression was associated with a reduced species evenness and increased pathogenic bacterial presence, providing a possible causal link between microbiome dysbiosis and lung injury development in VAP. However, measures of diversity were an unreliable predictor of culture positivity and 16s sequencing used agnostically could not usefully identify pathogens; this could be overcome if pathogen-specific relative abundance thresholds are used.
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