Nonlinear Dynamics of TNFR1 and TNFR2 Expression on Immune Cells: Genetic and Age-Related Aspects of Inflamm-Aging Mechanisms

<b><b>Introduction:</b></b> Immunosenescence alters TNF receptor expression (TNFR1 and TNFR2), contributing to chronic inflammation (inflamm-aging) and age-related diseases. Polymorphisms in TNFRSF1A and TNFRSF1B may influence receptor expression; however, their role in age-dependent modulation remains unclear. This study examines TNFR1/TNFR2 expression dynamics on T cells, B cells, and monocytes across different ages and evaluates the impact of genetic polymorphisms. <b>Methods:</b> PBMCs from 150 donors (18-60 years) were isolated via density-gradient centrifugation and cultured under spontaneous and LPS-stimulated conditions. TNFR1 and TNFR2 expression on immune cell subsets was quantified using flow cytometry with BD QuantiBRITE PE beads. SNP genotyping in TNFRSF1A and TNFRSF1B was performed via PCR with restriction analysis. Nonlinear age-related trends were assessed using polynomial approximation and inflection point analysis (Tukey's method). <b>Results:</b> Among the 23 analyzed TNF system parameters, the proportion of TNFR2<sup>+</sup>CD3<sup>+</sup> T cells increased with age, whereas TNFR1<sup>+</sup> and TNFR2<sup>+</sup> monocyte populations showed significant negative correlations (<i>p</i> < 0.05). Inflection points (~27, 34-36, and 44-45 years) indicated nonlinear dynamics in TNFRs expression during aging. TNFR2 expression on T cells gradually increased and stabilized at later ages, whereas TNFR1 and TNFR2 expression on monocytes followed distinct declining trajectories. Genetic polymorphisms influenced correlation strength, but did not alter direction, demonstrating a conserved pattern of age-related receptor expression shifts. <b>Conclusions:</b> TNFR expression exhibits nonlinear, age-dependent alterations across immune cells, shaped by immunosenescence and genetic variability. The identified critical age intervals represent key phases of immune remodeling, where assessing TNFR expression may provide insights into inflamm-aging mechanisms and potential targets for immune modulation.

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Publication Details

Journal
Biomedicines
Published
2025-04-02
DOI
https://doi.org/10.3390/biomedicines13040852
Citations
2
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
1.61

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article

Nonlinear Dynamics of TNFR1 and TNFR2 Expression on Immune Cells: Genetic and Age-Related Aspects of Inflamm-Aging Mechanisms

Julia Zhukova, Ivan V. Khutornoy, Filipp Filippovich Vasilyev, Fedor Kireev et al.
2 citations
Biomedicines
Single-cell and spatial transcriptomics
1.61
article

Nonlinear Dynamics of TNFR1 and TNFR2 Expression on Immune Cells: Genetic and Age-Related Aspects of Inflamm-Aging Mechanisms

Julia Zhukova, Ivan V. Khutornoy, Filipp Filippovich Vasilyev, Fedor Kireev, Elena Golikova, С. В. Сенников, Alina Alshevskaya, Julia Lopatnikova
article en
2 citations

Abstract

<b><b>Introduction:</b></b> Immunosenescence alters TNF receptor expression (TNFR1 and TNFR2), contributing to chronic inflammation (inflamm-aging) and age-related diseases. Polymorphisms in TNFRSF1A and TNFRSF1B may influence receptor expression; however, their role in age-dependent modulation remains unclear. This study examines TNFR1/TNFR2 expression dynamics on T cells, B cells, and monocytes across different ages and evaluates the impact of genetic polymorphisms. <b>Methods:</b> PBMCs from 150 donors (18-60 years) were isolated via density-gradient centrifugation and cultured under spontaneous and LPS-stimulated conditions. TNFR1 and TNFR2 expression on immune cell subsets was quantified using flow cytometry with BD QuantiBRITE PE beads. SNP genotyping in TNFRSF1A and TNFRSF1B was performed via PCR with restriction analysis. Nonlinear age-related trends were assessed using polynomial approximation and inflection point analysis (Tukey's method). <b>Results:</b> Among the 23 analyzed TNF system parameters, the proportion of TNFR2<sup>+</sup>CD3<sup>+</sup> T cells increased with age, whereas TNFR1<sup>+</sup> and TNFR2<sup>+</sup> monocyte populations showed significant negative correlations (<i>p</i> < 0.05). Inflection points (~27, 34-36, and 44-45 years) indicated nonlinear dynamics in TNFRs expression during aging. TNFR2 expression on T cells gradually increased and stabilized at later ages, whereas TNFR1 and TNFR2 expression on monocytes followed distinct declining trajectories. Genetic polymorphisms influenced correlation strength, but did not alter direction, demonstrating a conserved pattern of age-related receptor expression shifts. <b>Conclusions:</b> TNFR expression exhibits nonlinear, age-dependent alterations across immune cells, shaped by immunosenescence and genetic variability. The identified critical age intervals represent key phases of immune remodeling, where assessing TNFR expression may provide insights into inflamm-aging mechanisms and potential targets for immune modulation.

BiomedicinesVol. 13(4)
North-Eastern Federal University (RU), Sechenov University (RU), Lomonosov Moscow State University (RU), Research Institute of Fundamental and Clinical Immunology (RU)
Russian Science Foundation
Good health and well-being
Openalex Percentile: Top 18%
Single-cell and spatial transcriptomics
1.61
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