Expansion of a Population of Large Monocytes (Atypical Monocytes) in Peripheral Blood of Patients with Acute Exacerbations of Chronic Obstructive Pulmonary Diseases.
Jing YangMan QiaoYanxia LiGuohua HuChunxia SongLiping XueHong BaiJie YangXi YangPublished in: Mediators of inflammation (2018)
Acute exacerbation of chronic obstructive pulmonary disease (AECOPD) is closely associated with airway inflammation including monocytes, lymphocytes, and neutrophils. Monocytes play an essential role in the pathogenesis of chronic obstructive pulmonary disease (COPD). To elucidate the association of circulating monocyte alteration with AECOPD, we analyzed monocyte subpopulation in the peripheral blood of 16 healthy volunteers and 22 AECOPD patients at the stages of admission and remission after clinical therapy. We found a dramatic increase of a previously unreported population of large size circulating atypical monocytes (A Mo) in AECOPD patients, characterized by higher forward scatter and lower side scatter values than the typical monocytes (T Mo) which were observed predominantly in healthy individuals. Further analysis showed that A Mo expressed higher levels of CD16, intercellular adhesion molecule 1 (ICAM-1), and chemotactic protein-1 receptor-2 (CCR2) than T Mo. In contrast, the expression of class II antigen (HLA-DR) by A Mo was lower than T Mo. More importantly, we observed that the percentage of circulating A Mo among total monocytes correlated with the length of hospital stay (time to remission) and disease duration. The data suggest that circulating A Mo might have the potential to serve as a biomarker in the diagnosis and prognosis of AECOPD.
Keyphrases
- peripheral blood
- dendritic cells
- chronic obstructive pulmonary disease
- end stage renal disease
- emergency department
- cystic fibrosis
- stem cells
- poor prognosis
- liver failure
- binding protein
- chronic kidney disease
- computed tomography
- newly diagnosed
- prognostic factors
- regulatory t cells
- electronic health record
- escherichia coli
- pseudomonas aeruginosa
- deep learning
- intensive care unit
- lung function
- big data
- patient reported outcomes
- small molecule
- artificial intelligence
- protein protein
- drug induced
- monte carlo
- nk cells
- extracorporeal membrane oxygenation
- acute respiratory distress syndrome
- bone marrow
- acute care