The impact of damage-associated molecular patterns on the neurotransmitter release and gene expression in the ex vivo rat carotid body.
Souren MkrtchianJessica KåhlinMarta Gómez-GalánAnette EbberydTakashi YoshitakeStaffan SchmidtJan KehrMalin HildenborgMalin Jonsson FagerlundHelena Erlandsson HarrisLars I ErikssonPublished in: Experimental physiology (2020)
The glomus cells of carotid bodies (CBs) are the primary sensors of arterial partial O2 and CO2 tensions and moreover serve as multimodal receptors responding also to other stimuli, such as pathogen-associated molecular patterns (PAMPs) produced by acute infection. Modulation of CB function by excessive amounts of these immunomodulators is suggested to be associated with a detrimental hyperinflammatory state. We have hypothesized that yet another class of immunomodulators, endogenous danger-associated molecular patterns (DAMPs), released upon aseptic tissue injury and recognized by the same pathogen recognition receptors as PAMPs, might modulate the CB activity in a fashion similar to PAMPs. We have tested this hypothesis by exposing rat CBs to various DAMPs, such as HMGB1 (all-thiol and disulfide forms) and S100 A8/A9 in a series of ex vivo experiments that demonstrated the release of dopamine and ATP, neurotransmitters known to mediate CB homeostatic responses. We observed a similar response after incubating CBs with conditioned blood plasma obtained from the rats subjected to tibia surgery, a model of aseptic injury. In addition, we have investigated global gene expression in the rat CB using an RNA sequencing approach. Differential gene expression analysis showed all-thiol HMGB1-driven upregulation of a number of prominent pro-inflammatory markers including Il1α and Il1β. Interestingly, conditioned plasma had a more profound effect on the CB transcriptome resulting in inhibition rather than activation of the immune-related pathways. These data are the first to suggest potential modulation of CB function by endogenous mediators of innate immunity.
Keyphrases
- gene expression
- oxidative stress
- dna methylation
- genome wide
- induced apoptosis
- liver failure
- machine learning
- big data
- candida albicans
- poor prognosis
- acute coronary syndrome
- cell cycle arrest
- risk assessment
- physical activity
- coronary artery bypass
- metabolic syndrome
- uric acid
- genome wide identification
- cell death
- drug induced
- copy number
- hepatitis b virus
- electronic health record
- mass spectrometry
- endoplasmic reticulum stress
- mechanical ventilation
- deep learning
- human health
- surgical site infection