Interaction between regional lung volumes and ventilator-induced lung injury in the normal and endotoxemic lung.
Seiha YenMelissa PreissnerEllen BennettStephen DubskyRichard CarnibellaRhiannon MurrieAndreas FourasPeter A DargavilleGraeme R ZoskyPublished in: American journal of physiology. Lung cellular and molecular physiology (2020)
Both overdistension and atelectasis contribute to lung injury and mortality during mechanical ventilation. It has been proposed that combinations of tidal volume and end-expiratory lung volume exist that minimize lung injury linked to mechanical ventilation. The aim of this study was to examine this at the regional level in the healthy and endotoxemic lung. Adult female BALB/c mice were injected intraperitoneally with 10 mg/kg lipopolysaccharide (LPS) in saline or with saline alone. Four hours later, mice were mechanically ventilated for 2 h. Regional specific end-expiratory volume (sEEV) and tidal volume (sVt) were measured at baseline and after 2 h of ventilation using dynamic high-resolution four-dimensional computed tomography images. The regional expression of inflammatory genes was quantified by quantitative PCR. There was a heterogenous response in regional sEEV whereby endotoxemia increased gas trapping at end-expiration in some lung regions. Within the healthy group, there was a relationship between sEEV, sVt, and the expression of Tnfa, where high Vt in combination with high EEV or very low EEV was associated with an increase in gene expression. In endotoxemia there was an association between low sEEV, particularly when this was combined with moderate sVt, and high expression of IL6. Our data suggest that preexisting systemic inflammation modifies the relationship between regional lung volumes and inflammation and that although optimum EEV-Vt combinations to minimize injury exist, further studies are required to identify the critical inflammatory mediators to assess and the effect of different injury types on the response.
Keyphrases
- mechanical ventilation
- acute respiratory distress syndrome
- intensive care unit
- gene expression
- high resolution
- poor prognosis
- computed tomography
- respiratory failure
- oxidative stress
- inflammatory response
- magnetic resonance imaging
- type diabetes
- cardiovascular disease
- magnetic resonance
- lps induced
- machine learning
- transcription factor
- toll like receptor
- dna methylation
- electronic health record
- immune response
- genome wide
- endothelial cells
- long non coding rna
- artificial intelligence
- optical coherence tomography
- room temperature
- liquid chromatography
- tandem mass spectrometry