Evidence mapPaperPMID 41596456Full record

ArticleInternational journal of molecular sciences2026

Age- and Genotype-Associated Specific Expression of IL-1 and TNF Receptors on Immunocompetent Cells.

Julia Zhukova, Julia Lopatnikova, Filipp Vasilyev, Alina Alshevskaya, Darya Lipa, Sergey Sennikov

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Julia ZhukovaFederal State Budgetary Scientific Institution Research Institute of Fundamental and Clinical Immunology, Novosibirsk 630099, Russia.ORCID 0000-0002-2287-0918
Julia LopatnikovaFederal State Budgetary Scientific Institution Research Institute of Fundamental and Clinical Immunology, Novosibirsk 630099, Russia.ORCID 0000-0003-0089-5054
Filipp VasilyevFederal State Budgetary Scientific Institution Research Institute of Fundamental and Clinical Immunology, Novosibirsk 630099, Russia.ORCID 0000-0002-0315-852X
Alina AlshevskayaFederal State Autonomous Educational Institution of Higher Education, I.M. Sechenov First Moscow State Medical University of the Ministry of Health of the Russian Federation (Sechenov University), Moscow 119048, Russia.
Darya LipaFederal State Budgetary Scientific Institution Research Institute of Fundamental and Clinical Immunology, Novosibirsk 630099, Russia.ORCID 0009-0005-9568-9385
Sergey SennikovFederal State Budgetary Scientific Institution Research Institute of Fundamental and Clinical Immunology, Novosibirsk 630099, Russia.ORCID 0000-0002-7366-7768

Funding

Russian Science Foundation Russian Science Foundation through award #25-25-00120 (https://rscf.ru/project/25-25-00120/). Institutional Review Board Statement: The study was conducted in accordance
6 · The paper itself

Abstract

Aging is accompanied by a chronic, low-grade inflammatory state known as "inflammaging," largely driven by dysregulated signaling of pro-inflammatory cytokines like IL-1 and TNF-α. The biological impact of these cytokines is modulated by the expression of their cellular receptors, which is influenced by genetic polymorphisms. However, the interplay between age, genetic variation, and cell-type-specific receptor expression remains incompletely characterized. This study aimed to determine the relative and absolute expression levels of IL-1 and TNF receptors on major immunocompetent cell populations in healthy donors of different age groups and to assess the influence of receptor gene polymorphisms on this expression. A cohort of 144 healthy donors was stratified into two age clusters using unsupervised clustering: a "young" group (18-31 years, n = 71) and an "older" group (32-59 years, n = 73). Membrane expression of TNFR1, TNFR2, IL-1R1, and IL-1R2 on T-lymphocytes, B-lymphocytes, and monocytes was analyzed by flow cytometry. The analysis included both the percentage of receptor-positive cells and the number of receptors per cell using absolute quantification with calibration beads. Genotyping for eight SNPs in the TNF1, TNFR2, IL1R1, and IL1R2 genes was performed via PCR-RFLP. The most pronounced age-related differences were observed in monocytes, in which the young cohort exhibited a significantly higher percentage of TNFR1- and TNFR2-positive monocytes, as well as a higher number of IL-1R1 receptors. In contrast, T-lymphocytes from the older cluster showed a higher percentage of TNFR2-positive cells. Genetic polymorphisms significantly modulated receptor expression in an age-dependent manner. For example, in the young cluster, polymorphisms primarily affected receptor levels on B-lymphocytes, whereas in the older cluster, the most significant associations were observed in monocytes. This study reveals significant, cell-specific alterations in the IL-1 and TNF receptor landscapes with age, with monocytes being particularly affected. The observed receptor downregulation in older adults is likely to reflect an active process of ligand-induced desensitization driven by chronic inflammation. Furthermore, genetic polymorphisms exert age-dependent effects on receptor expression, highlighting the dynamic interplay between genetics and immunosenescence. These findings provide a foundation for personalized strategies to mitigate inflammaging.

Indexed as

AgingReceptors, Interleukin-1 Type IReceptors, Interleukin-1 Type IIReceptors, Tumor Necrosis Factor, Type IReceptors, Tumor Necrosis Factor, Type IIAdolescentAdultAge FactorsB-LymphocytesFemaleGenotypeHumansMaleMiddle AgedMonocytesPolymorphism, Single NucleotideIL1R1 protein, humanIL1R2 protein, humanReceptors, Interleukin-1 Type IReceptors, Interleukin-1 Type IIReceptors, Tumor Necrosis Factor, Type IReceptors, Tumor Necrosis Factor, Type IIgenotypeimmunocompetent cellsinflammagingpolymorphismsreceptors

Identifiers

PMID41596456
PMCPMC12841339

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.