Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2022 Mar 23;19(1):16.
doi: 10.1186/s12979-022-00273-0.

Telomerase deficiency reflects age-associated changes in CD4+ T cells

Affiliations

Telomerase deficiency reflects age-associated changes in CD4+ T cells

Diana M Matthe et al. Immun Ageing. .

Abstract

Background: Amongst other systemic changes, aging leads to an immune dysfunction. On the molecular level, a hallmark of aging is telomere shortening. The functional relevance of telomerase, an enzyme capable of elongating telomeres in T cells upon antigen stimulation, is not fully understood. Studying the impact of telomere shortening on CD4+ T cells and especially Th1 effector function can provide a better understanding on immune dysfunctions in elderly.

Results: We investigated T cell numbers and differentiation in telomerase-deficient (mTerc-/-) mice under steady-state conditions and the functional role of telomerase in CD4+ T cells using in vitro stimulation and Th1 polarization protocols by comparing T cells from mTerc-/- and control mice. We report reduced relative CD4+ T cell numbers in blood and secondary lymphoid organs and a relative decline in the naïve T cell population in thymus, blood and spleen of mTerc-/- mice compared to control mice. Importantly, after in vitro polarization, mTerc-/- G3 CD4+ T cells showed higher numbers of IFNγ-producing cells and reduced expression of CD28. Notably, telomerase-deficient T cells were more susceptible to inhibition of Th1 polarization by IL-6 in vitro. These results demonstrate that telomerase deficiency recapitulates several changes of CD4+ T cells seen in aged humans regarding the naïve T cell population, expression of CD28 and cytokine production.

Conclusion: Our data suggest that telomere shortening could play a key role in the aging of T cell immunity, with clinical implications for immune diseases and tumor development and that mTerc-/- mice are a suitable model to study aging-related defects of adaptive immunity.

Keywords: Aging; CD4-positive T-lymphocytes; Telomerase; Telomere shortening; Th1 cells.

PubMed Disclaimer

Conflict of interest statement

The authors declare that they have no competing interests.

Figures

Fig. 1
Fig. 1
Characterization of CD4+ T cells from telomerase-deficient mice under steady state conditions. A Schematic representation of the different generations of mTerc−/− mice and validation of the telomere loss. Generation 2 (G2) animals were obtained by crossing mTerc−/− G1 animals, G3 animals are offspring of mTerc−/− G2 mice. Telomere length was quantified by a qPCR-based method in Terc+/+, Terc−/− G1 and Terc−/− G3 mice (n = 3 per group, except thymus of Terc−/− G3: n = 2). B Flow cytometric analysis of CD4+ and CD8a + cells from blood and lymphoid organs of mTerc−/− mice (n = 3) under steady-state conditions. C Immunohistochemical stainings of CD4+ T cells (red) in mesenteric lymph node (mLNs, n = 3 except Terc −/− G2: n = 2) and spleen (n = 3) of mTerc−/− mice. Nuclei were counterstained with DAPI (blue). Quantification was done with ImageJ software by calculation of the area of positive CD4 staining relative to the area of DAPI staining from non-overlapping pictures (≥ 5 pictures per mLN and ≥ 7 pictures per spleen). D Composition of the CD4+ T cell pool with regards to memory populations. Cells were defined as naïve (CD44- CD62L+), central memory (CD44+ CD62L+) and effector/effector memory (CD44+ CD62L-). E Relative numbers of CD4+ T cells expressing costimulatory molecules CD28 and CD27 in lymphoid organs from telomerase-deficient mice. If not otherwise indicated, the experiment was performed with n = 3 mice from each generation. Graphs show the mean ± SD, * adjusted p ≤ 0.05, ** adjusted p ≤ 0.01, *** adjusted p ≤ 0.001
Fig. 2
Fig. 2
mTerc−/− CD4+ T cells show functional differences after in vitro polarization. A Schematic representation of the experimental setup of in vitro polarization. CD4+ T cells were isolated and stimulated in vitro for five days with anti-CD3 and anti-CD28 only (Th0) or with anti-CD3, anti-CD28, IL-12 and anti-IL-4 (Th1). On the day of analysis, the cells were treated with eBioscience™ Cell Stimulation Cocktail (plus protein transport inhibitors) (500X) (Invitrogen) for 3.5 h before analysis. B Quantification of IFNγ in the medium by ELISA. C and D Flow cytometric analysis of IFNγ-producing CD4+ T cells. Graphs show the mean ± SD, * adjusted p ≤ 0.05, ** adjusted p ≤ 0.01, *** adjusted p ≤ 0.001
Fig. 3
Fig. 3
mTerc−/− CD4+ T cells show functional differences after in vitro polarization. A and (B Flow cytometric quantification of proliferating (Ki-67+), live (Annexin V- PI-), early apoptotic (Annexin V+ PI-) and late apoptotic (Annexin V+ PI+) cells. C Functional analysis of memory populations (central memory: CD44+ CD62L+; effector/ effector memory: CD44+ CD62L-) after in vitro polarization measured by flow cytometry. D Expression of costimulatory molecules CD28 and CD27 among in vitro polarized CD4+ T cells as determined by flow cytometry. All graphs show the mean ± SD, * adjusted p ≤ 0.05, ** adjusted p ≤ 0.01, *** adjusted p ≤ 0.001
Fig. 4
Fig. 4
mTerc−/− CD4+ T cells are more susceptible to IL-6-mediated inhibition of Th1 differentiation. CD4+ T cells were isolated from mTerc−/− mice as before and stimulated in vitro for five days with anti-CD3 and anti-CD28 only (Th0) or with anti-CD3, anti-CD28, IL-12 and anti-IL-4 (Th1). In addition, IL-6 was added to the Th1-inducing mixture in the indicated concentrations. A Flow cytometric analysis of IFNγ-producing cells after in vitro polarization under IL-6 treatment. The figure depicts pooled data from two independent experiments. B Quantification of IFNγ in the medium after in vitro polarization of mTerc−/− CD4+ T cells. The figure shows pooled data from two independent experiments. C Memory populations after in vitro polarization as determined by flow cytometry (effector/ effector memory: CD44+ CD62L-; central memory: CD44+ CD62L+). Data from one measurement is shown. All graphs show the mean ± SD, * adjusted p ≤ 0.05, ** adjusted p ≤ 0.01, *** adjusted p ≤ 0.001, **** adjusted p ≤ 0.0001

References

    1. Kubben N, Misteli T. Shared molecular and cellular mechanisms of premature ageing and ageing-associated diseases. Nat Rev Mol Cell Biol. 2017;18(10):595–609. doi: 10.1038/nrm.2017.68. - DOI - PMC - PubMed
    1. López-Otín C, Blasco MA, Partridge L, Serrano M, Kroemer G. The hallmarks of aging. Cell. 2013;153(6):1194–1217. doi: 10.1016/j.cell.2013.05.039. - DOI - PMC - PubMed
    1. Goronzy JJ, Weyand CM. Understanding immunosenescence to improve responses to vaccines. Nat Immunol. 2013;14(5):428–436. doi: 10.1038/ni.2588. - DOI - PMC - PubMed
    1. Nikolich-Žugich J. The twilight of immunity: emerging concepts in aging of the immune system. Nat Immunol. 2018;19(1):10–19. doi: 10.1038/s41590-017-0006-x. - DOI - PubMed
    1. Montecino-Rodriguez E, Berent-Maoz B, Dorshkind K. Causes, consequences, and reversal of immune system aging. J Clin Investig. 2013;123(3):958–965. doi: 10.1172/JCI64096. - DOI - PMC - PubMed