Transcriptome and Functional Analysis of Carotid Body Glomus Cells

The carotid body (CB) is a major arterial chemoreceptor containing glomus cells that are activated by changes in arterial blood contents including oxygen. Despite significant advancement in the characterization of their physiological properties, our understanding on the underlying molecular machinery and signaling pathway in CB glomus cells is still limited.

To overcome these limitations, in chapter 1, I demonstrated the first transcriptome profile of CB glomus cells using single cell sequencing technology, which allowed us to uncover a set of abundantly expressed genes, including novel glomus cell-specific transcripts. These results revealed involvement of G protein-coupled receptor (GPCR) signaling pathway, various types of ion channels, as well as atypical mitochondrial subunits in CB function. I also identified ligands for the mostly highly expressed GPCR (Olfr78) in CB glomus cells and examined this receptor’s role in CB mediated hypoxic ventilatory response.

Current knowledge of CB suggest glomus cells rely on unusual mitochondria for their sensitivity to hypoxia. I previously identified the atypical mitochondrial subunit Ndufa4l2 as a highly over-represented gene in CB glomus cells. In chapter 2, to investigate the functional significance of Ndufa4l2 in CB function, I phenotyped both Ndufa4l2 knockout mice and mice with conditional Ndufa4l2 deletion in CB glomus cells. I found that Ndufa4l2 is essential to the establishment of regular breathing after birth. Ablating Ndufa4l2 in postnatal CB glomus cells resulted in defective CB sensitivity to hypoxia as well as CB mediated hypoxic ventilatory response. Together, our data showed that Ndufa4l2 is critical to respiratory control and the oxygen sensitivity of CB glomus cells.

Host gene expression classifiers diagnose acute respiratory illness etiology.

Acute respiratory infections caused by bacterial or viral pathogens are among the most common reasons for seeking medical care. Despite improvements in pathogen-based diagnostics, most patients receive inappropriate antibiotics. Host response biomarkers offer an alternative diagnostic approach to direct antimicrobial use. This observational cohort study determined whether host gene expression patterns discriminate noninfectious from infectious illness and bacterial from viral causes of acute respiratory infection in the acute care setting. Peripheral whole blood gene expression from 273 subjects with community-onset acute respiratory infection (ARI) or noninfectious illness, as well as 44 healthy controls, was measured using microarrays. Sparse logistic regression was used to develop classifiers for bacterial ARI (71 probes), viral ARI (33 probes), or a noninfectious cause of illness (26 probes). Overall accuracy was 87% (238 of 273 concordant with clinical adjudication), which was more accurate than procalcitonin (78%, P < 0.03) and three published classifiers of bacterial versus viral infection (78 to 83%). The classifiers developed here externally validated in five publicly available data sets (AUC, 0.90 to 0.99). A sixth publicly available data set included 25 patients with co-identification of bacterial and viral pathogens. Applying the ARI classifiers defined four distinct groups: a host response to bacterial ARI, viral ARI, coinfection, and neither a bacterial nor a viral response. These findings create an opportunity to develop and use host gene expression classifiers as diagnostic platforms to combat inappropriate antibiotic use and emerging antibiotic resistance.