Elevated checkpoint inhibitor expression and Treg cell number in autosomal dominant polycystic kidney disease and their correlation with disease parameters and hypertension.
Ali SahinIsmail KocyigitKubra AslanEray ErogluAlparslan DemirayAhmet EkenPublished in: Clinical and experimental medicine (2023)
Autosomal dominant polycystic kidney disease (ADPKD) has cancer-like pathophysiology. In this study, we aimed to investigate the phenotype of peripheral blood (PB) T cell subsets and immune checkpoint inhibitor expression of ADPKD patients across different chronic kidney disease (CKD) stages. Seventy-two patients with ADPKD and twenty-three healthy controls were included in the study. The patients were grouped into five different CKD stages, according to glomerular filtration rate (GFR). PB mononuclear cells were isolated and T cell subsets and cytokine production were examined by flow cytometry. CRP levels, height-adjusted total kidney volume (htTKV), rate of hypertension (HT) differed significantly across different GFR stages in ADPKD. T cell phenotyping revealed significantly elevated CD3+ T cells, CD4+, CD8+, double-negative, and double-positive subsets and significantly elevated IFN-γ and TNF-α producing subsets of CD4+, CD8+ cells. The expression of checkpoint inhibitors CTLA-4, PD-1, and TIGIT by T cell subsets was also increased to various extent. Additionally, Treg cell numbers and suppressive markers CTLA-4, PD-1, and TIGIT were significantly elevated in ADPKD patients' PB. Treg CTLA4 expression and CD4CD8DP T cell frequency in patients with HT were significantly higher. Lastly, HT and increased htTKV and higher frequency of PD1+ CD8SP were found to be risk factors for rapid disease progression. Our data provide the first detailed analyses of checkpoint inhibitor expression by PB T cell subsets during stages of ADPKD, and that a higher frequency of PD1+ CD8SP cells is associated with rapid disease progression.
Keyphrases
- polycystic kidney disease
- end stage renal disease
- chronic kidney disease
- peripheral blood
- poor prognosis
- induced apoptosis
- ejection fraction
- peritoneal dialysis
- blood pressure
- heavy metals
- dna damage
- prognostic factors
- rheumatoid arthritis
- cell cycle
- squamous cell carcinoma
- oxidative stress
- machine learning
- risk assessment
- physical activity
- patient reported outcomes
- electronic health record
- deep learning
- cell proliferation