Cell Origin Dictates Programming of Resident versus Recruited Macrophages during Acute Lung Injury.
Kara J MouldLea BarthelMichael P MohningStacey M ThomasAlexandra L McCubbreyThomas DanhornSonia M LeachTasha E FingerlinBrian P O'ConnorJulie A ReiszAngelo D'AlessandroDonna L BrattonClaudia V JakubzickWilliam J JanssenPublished in: American journal of respiratory cell and molecular biology (2017)
Two populations of alveolar macrophages (AMs) coexist in the inflamed lung: resident AMs that arise during embryogenesis, and recruited AMs that originate postnatally from circulating monocytes. The objective of this study was to determine whether origin or environment dictates the transcriptional, metabolic, and functional programming of these two ontologically distinct populations over the time course of acute inflammation. RNA sequencing demonstrated marked transcriptional differences between resident and recruited AMs affecting three main areas: proliferation, inflammatory signaling, and metabolism. Functional assays and metabolomic studies confirmed these differences and demonstrated that resident AMs proliferate locally and are governed by increased tricarboxylic acid cycle and amino acid metabolism. Conversely, recruited AMs produce inflammatory cytokines in association with increased glycolytic and arginine metabolism. Collectively, the data show that even though they coexist in the same environment, inflammatory macrophage subsets have distinct immunometabolic programs and perform specialized functions during inflammation that are associated with their cellular origin.
Keyphrases
- oxidative stress
- patient safety
- quality improvement
- single cell
- amino acid
- gene expression
- transcription factor
- peripheral blood
- liver failure
- nitric oxide
- adipose tissue
- public health
- palliative care
- lipopolysaccharide induced
- emergency medicine
- signaling pathway
- stem cells
- high throughput
- lps induced
- cell therapy
- bone marrow
- hepatitis b virus
- dendritic cells
- electronic health record
- heat shock
- intensive care unit
- genetic diversity
- artificial intelligence