Clin Res Cardiol (2022). https://doi.org/10.1007/s00392-022-02087-y

Interplay between cardiovascular risk factors and immunosenescence profile
A. Buck1, C. Morbach2, V. Cejka1, N. Moser1, M. Kohls3, F. Eichner3, U. Hofmann4, S. Frantz4, P. U. Heuschmann3, S. Störk1, G. Ramos1, für die Studiengruppen: DZHI, STAAB
1Deutsches Zentrum für Herzinsuffizienz, Universitätsklinikum Würzburg, Würzburg; 2Medizinische Klinik I, Kardiologie, Universitätsklinikum Würzburg, Würzburg; 3Institut für Klinische Epidemiologie und Biometrie, Universitätsklinikum Würzburg, Würzburg; 4Medizinische Klinik und Poliklinik I, Universitätsklinikum Würzburg, Würzburg;
Background and Aim: 
The immune system undergoes profound transformations with aging, marked by an accumulation of exhausted T-cells and chronic low-grade inflammation. Immune-inflammatory phenomena have been implicated in the pathogenesis of several cardiovascular diseases, but it remains unclear how the aging immune system interplays with cardiovascular risk factors. We aim to describe a baseline of the process of physiological immune aging in a thoroughly phenotyped, strictly-healthy cohort compared to a cohort presenting cardiovascular risk factors to identify how this interactions takes place.

Methods:
We employed multicolour flow cytometry to comprehensively phenotype the peripheral blood T-cell compartment of 350 healthy subjects stratified by gender and age ranging from 30-79 years old (available within the STAAB study). Building on a comprehensive clinical phenotyping available, we were able to precisely define the “strictly-healthy” sample (n=350) based on the absence of comorbidities and risk factors including smoking and obesity and inconspicuous results of oral glucose test and echocardiography. The immune-aging profile of strictly healthy subjects was then compared with age-matched subjects (n=60) presenting at least three canonical cardiovascular risk factors, i.e. hypertension, dyslipidemia, and hyperglyceamia. 

Results: 
We observed a linear age-dependent increase in the intracellular expression of pro-inflammatory cytokines including interferon-γ and TNF, and an increase of terminally differentiated CD8+ cells. Using a dimensionality reduction approach allowed to classify the aging immune system into four main phenotypic states, characterized by T-cell differentiation and cytokine production. Across these phenotypic states, age-dependent shifts in the immune aging profile distribution became apparent that were more pronounced in healthy men compared to healthy women thus revealing a dimorphism in the healthily aging immune system. Further, healthy men showed a significantly different distribution of the T-cell phenotypic states compared to age-matched groups of men presenting with classical cardiovascular risk factors. 

Conclusion: 
To the best of our knowledge, these findings provide the first description of immunosenescence profiling in a “strictly healthy” population and show how they interplay with lifestyle and cardiovascular risk factors. Future studies may further address whether immune profiling could offer additional diagnostic/ prognostic value for patients at higher cardiovascular risk.
 

https://dgk.org/kongress_programme/ht2022/aP247.html