Multiomic profiling of human clonal hematopoiesis reveals genotype and cell-specific inflammatory pathway activation.
Jonathan Brett HeimlichPawan BhatAlyssa C ParkerMatthew T JenkinsCaitlyn VlasschaertJessica UlloaJoseph C Van AmburgChad R PottsSydney OlsonAlexander James SilverAyesha AhmadBrian SharberDonovan J BrownNingning HuPeter van GalenMichael R SavonaAlexander G BickPaul Brent FerrellPublished in: Blood advances (2024)
Clonal hematopoiesis (CH) is an age-associated phenomenon that increases the risk of hematologic malignancy and cardiovascular disease. CH is thought to enhance disease risk through inflammation in the peripheral blood.1 Here, we profile peripheral blood gene expression in 66 968 single cells from a cohort of 17 patients with CH and 7 controls. Using a novel mitochondrial DNA barcoding approach, we were able to identify and separately compare mutant Tet methylcytosine dioxygenase 2 (TET2) and DNA methyltransferase 3A (DNMT3A) cells with nonmutant counterparts. We discovered the vast majority of mutated cells were in the myeloid compartment. Additionally, patients harboring DNMT3A and TET2 CH mutations possessed a proinflammatory profile in CD14+ monocytes through previously unrecognized pathways such as galectin and macrophage inhibitory factor. We also found that T cells from patients with CH, although mostly unmutated, had decreased expression of GTPase of the immunity associated protein genes, which are critical to T-cell development, suggesting that CH impairs T-cell function.
Keyphrases
- peripheral blood
- room temperature
- mitochondrial dna
- induced apoptosis
- gene expression
- dna methylation
- cardiovascular disease
- end stage renal disease
- oxidative stress
- cell cycle arrest
- copy number
- single cell
- endothelial cells
- poor prognosis
- ejection fraction
- chronic kidney disease
- newly diagnosed
- dendritic cells
- genome wide
- adipose tissue
- stem cells
- cell therapy
- peritoneal dialysis
- endoplasmic reticulum stress
- acute myeloid leukemia
- patient reported
- cardiovascular events
- nucleic acid
- bioinformatics analysis