Novel T-cell subsets as non-invasive biomarkers of vascular damage along the predialysis stages of chronic kidney disease
2024

New T-cell Subsets as Biomarkers for Vascular Damage in Chronic Kidney Disease

Sample size: 81 publication 10 minutes Evidence: moderate

Author Information

Author(s): Martín-Vírgala Julia, Miranda-Prieto Daniel, Fernández-Villabrille Sara, Martín-Carro Beatriz, González-García Nerea, Bande-Fernández Joaquín, Díaz-Corte Carmen, Fernández-Martín José Luis, Alonso-Montes Cristina, Suárez Ana, Panizo Sara, Naves-Díaz Manuel, Rodríguez-Carrio Javier, Carrillo-López Natalia

Primary Institution: Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain

Hypothesis

This study aimed to investigate immune populations in pre-dialysis patients to identify subset alterations, assess longitudinal changes, and evaluate their applicability as biomarkers of subclinical vascular indices.

Conclusion

Pre-dialysis CKD stages show changes in immune cell populations related to vascular health, including early T-cell immunosenescence and a decrease in Tang cells, which are linked to vascular stiffness.

Supporting Evidence

  • Senescent T cells were increased in CKD patients compared to controls.
  • Tang cells showed a negative correlation with CKD progression.
  • Intermediate monocytes were positively correlated with vascular stiffness.
  • Tang levels were found to predict pulse wave velocity in CKD patients.

Takeaway

Doctors found that certain immune cells change in people with kidney disease before they start dialysis, which could help predict heart problems.

Methodology

The study involved 43 pre-dialysis CKD patients and 38 controls, assessing immune cell populations and vascular indices at baseline and after 18 months.

Limitations

The study had a small sample size for each CKD stage, limiting the generalizability of the findings.

Participant Demographics

43 CKD patients (25 men, 18 women) and 38 healthy controls (18 men, 20 women).

Statistical Information

P-Value

p<0.001

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.3389/fmed.2024.1460021

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