Introduction

As the global population ages, the impact of infectious diseases on the aging population becomes increasingly significant. Among the most relevant risk factors leading to higher susceptibility as well as severity in both community-acquired (CA) and healthcare-associated (HA)-pneumonia is advanced age (≥ 60 years) (Torres et al., 2021). Particularly severe is pneumonia caused by Staphylococcus aureus (S. aureus) (Lee et al., 2022). S. aureus is a gram-positive bacterium that frequently colonizes humans but can manifest various pathologies, ranging from mild to more severe infections, including pneumonia (Howden et al., 2023; Jong, Kessel, & Strijp, 2019). It accounts for a notable proportion of CA and HA cases (Lee et al., 2022; Torres et al., 2021). The bacterium exhibits a broad spectrum of virulence factors, including toxins, adhesins, and immune evasion strategies, contributing to its ability to establish infections in the lower respiratory tract (Howden et al., 2023). Aging is a central factor predisposing individuals to a higher risk for S. aureus pneumonia (Torres et al., 2021). As aging is impacting several important functions of the body such as the immune response and thus the capability to mount an effective defensive response (Montecino-Rodriguez, Berent-Maoz, & Dorshkind, 2013). However, the aged immune system is also discussed to be more irritable, leading to a stronger inflammation after infection (Canan et al., 2014). This highlights the vital connection between aging and S. aureus pneumonia, as well as the need for further research investigating this connection.

The process of aging is a multifaceted phenomenon that involves various underlying mechanisms, known as hallmarks (López-Otín, Blasco, Partridge, Serrano, & Kroemer, 2023). Among these hallmarks, telomere shortening is a significant factor in cellular aging. Telomeres serve as protective caps at the end of chromosomes, which shorten with every cell division until they reach a critical length where replication becomes impossible, eventually resulting in either apoptosis or senescence (López-Otín et al., 2023). However, this process can be counteracted by the telomerase, which can add new repeats to the ends of chromosomes and thus prevent the shortening of telomeres (Greider & Blackburn, 1985). The telomerase mainly consists of two parts: the telomerase reverse transcriptase (Tert), which harbors the enzymatic activity, and Terc, which serves as a template for the addition of new repeats (Sahin & DePinho, 2010; Shay & Wright, 2019).

One important aspect of telomere dysfunction is the impact of telomere shortening on the immune system as well as the hematopoietic system. Tissues or organ systems which are highly replicative are affected first by telomere shortening (Chakravarti, LaBella, & DePinho, 2021). Due to the loss of the protective telomere caps, mutations can accumulate, and the cells ultimately become senescent (Chakravarti et al., 2021). Interestingly, while most differentiated cells do not exhibit telomerase activity, T cells display a high activity of this enzyme (Hodes, Hathcock, & Weng, 2002). Aging T cells become senescent, which is characterized by short telomeres and the absence of CD28 expression (Hohensinner, Goronzy, & Weyand, 2011). Furthermore, telomere length and T cell functionality are closely connected. T cells with shorter telomeres are implicated in diseases related to aging like arthritis (Hohensinner et al., 2011). Additionally, CD4⁺ T cells from Terc knockout (Terc^ko/ko) mice displayed several characteristics of aged T cells such as a reduction in CD28 expression and changed secretion of cytokines. Furthermore the naïve T cell population was reduced (Matthe, Thoma, Sperka, Neurath, & Waldner, 2022).This highlights the importance of intact telomeres and telomerase on immune cell function.

While most differentiated cells lack the expression of Tert, almost all human cells and several murine tissues express Terc (Zhang et al., 2018). However, the function of ubiquitous Terc expression remains elusive (Chakravarti et al., 2021; Shay & Wright, 2019). Interestingly, recent studies identified a variety of functions of Terc, which are independent of its function as part of the telomerase. Notably, a study could show that Terc triggers inflammation via the nuclear factor kappa-light-chain-enhancer of activated B cells (NF-κB) pathway (Liu, Yang, Ge, Liu, & Zhao, 2019). Furthermore, Terc was identified to be involved in cell proliferation by enhancing the expression of several genes belonging to the Phosphoinositide 3-kinase (Pi3K) – Protein Kinase B (AKT) pathway (Wu et al., 2022). The same study could show that this mechanism also contributed to CD4⁺ T cell expansion (Wu et al., 2022). Additionally, Terc deletion in mice induced NLR Family Pyrin Domain Containing 3 NLRP3 inflammasome activation in macrophages upon pulmonary infection with S. aureus, thereby revealing another connection between immune modulation and the presence of Terc (Kang et al., 2018). Thus, it appears that Terc could serve as a relevant immunomodulatory factor, potentially implicated in S. aureus-induced pathologies.

Knockout of Terc in mice is a well-established model for premature aging, as telomeres of Terc^ko/ko mice shorten with every generation (Wong et al., 2008). Additionally, the telomeres shorten during each generation with increasing age of the mice (Wong et al., 2008). Thus, while third-generation (G3) Terc^ko/ko mice with already shortened telomeres were used in this study, they were infected at a young age (8 weeks). Enabling the possibility to study the effect of Terc deletion rather than telomere dysfunction. Furthermore, G3 Terc^ko/ko mice with a C56Bl/6 background have a shorter lifespan, a smaller litter size and a generally reduced body size and weight (Wong et al., 2008).

In this study, we aimed to investigate the impact of Terc deletion, as an essential immunomodulatory factor, on the immune response to S. aureus-induced pneumonia in mice. For this purpose, G3 Terc^ko/ko mice were infected with S. aureus, and the progression of disease and immune response were evaluated. Strikingly, our data highlights that the deletion of Terc resulted in a more severe disease outcome and disrupted the innate and adaptive immune response. These findings suggest a possible connection between Terc and immune cell homeostasis.

Materials and Methods

Bacteria

All in vivo and in vitro experiments were carried out with the S. aureus strain USA300. S. aureus was cultivated in brain heart infusion (BHI) medium (Thermo Fisher Scientific, Waltham, MA, US) at 37°C while shaking at 150 rpm. The bacteria were harvested during the mid-logarithmic phase and adjusted to the appropriate optical density (OD) at 600nm for the respective experiments in phosphate-buffered saline (PBS). The bacteria were then either used freshly for in vivo infection of mice or stored at -80 °C until further usage in in vitro experiments.

For heat-killing, the adjusted bacteria stock was incubated at 95°C for 5 minutes while shaking at 500 rpm. A fraction of the heat-killed bacteria was plated on Müller-Hinton (MH) plates. Plates were incubated for 5 days at 37°C to confirm heat-killing of the bacteria.

Determination of bacterial load

Organs were homogenized in the appropriate amount of PBS (adjusted to their weight in mg) using a SpeedMill Plus (Analytik Jena, Jena, Germany). Homogenized organs and BAL fluid were diluted in a decadic dilution series and plated onto MH plates. Plates were incubated overnight at 37°C. Colonies were counted, and colony-forming units (CFU) per ml was calculated.

Mouse models and infection

Mouse in vivo experiments were approved by the Office for Consumer Protection of Thuringia (TV-Number: UKJ-19-028 and UKJ-22-023).

Third-generation (G3) female Terc^ko/ko mice with a C57Bl/6 background were bred from homozygous parents in the animal facility of the Jena University Hospital. To confirm knockout of Terc, DNA was extracted from the tail of newborn mice using the DNeasy Blood & Tissue Kit (Qiagen, Venlo, Netherlands) according to the manufacturers protocol. The DNA was then used for genotyping via PCR using the following primer sequences: mTR-R: 5′-TTC TGA CCA CCA CCA ACT TCA AT-3′; mTR-WT-F: 5′-CTA AGC CGG CAC TCC TTA CAA G-3′; 5PPgK(-F): 5′-GGG GCT GCT AAA GCG CAT-3′. The results were analyzed with an Agilent 2200 TapeStation system using a Agilent D1000 ScreenTape (both Agilent Technologies, Santa Clara, CA, USA). The WT Terc product had a size of 200 bp while the knockout product had a size of 180 bp. Only mice that showed a single band at 180 bp were used for the further breeding process. The Terc^ko/ko mice were used for infection at the age of 8 weeks. Young WT (age 8 weeks) and old WT (age 24 months) C57Bl/6 mice were purchased from Janvier Labs (Le Genest-Saint-Isle, France).

All mice were anesthetized with 2% isoflurane before intranasal infection with S. aureus USA300 (1x10⁸ CFU/ml) per mouse. After 24 hours, the mice were weighed and scored as previously described (Hornung et al., 2023). Infected Terc^ko/ko mice were grouped into different degrees of severity based on their clinical score, fatal outcome of the disease (fatal) and the presence of bacteria in organs other than the lung (systemic infection). The mice were sacrificed via injection of an overdose of xylazine/ketamine and bleeding of axillary artery. BAL was collected by instillation and subsequent retrieval of PBS into the lungs. Blood and organs were collected. The organs were stored at -80°C until further usage. Mice cohorts were not blinded to those performing the experiments.

Telomere length measurement

The length of telomeres in the lung of young WT, old WT and Terc^ko/ko mice was measured using the Absolute Mouse Telomere Length Quantification qPCR Assay Kit (ScienCell research Laboratories, Carlsbad, CA, USA) according to the manufacturer’s protocol. Genomic DNA from the lungs was extracted by DNeasy Blood & Tissue Kit (Qiagen, Venlo, Netherlands) according to the manufacturer’s protocol. For the PCR 2ng of each sample used. Average telomere length per chromosome end was calculated as described by the manufacturer.

Histology and Immunofluorescence

The left lung lobe was embedded into Tissue Tek O.C.T. (science services, Munich, Germany) and stored at -80°C until further processing. Preparation and staining of tissue cryosections was performed as described previously (Hornung et al., 2023).

For staining of S. aureus, rabbit anti-S. aureus polyclonal antibody (Cat. # PA1-7246, Thermo Fisher Scientific, Waltham, MA, US) was diluted 1:400 in antibody diluent with background reducing components (Agilent, Santa Clara, CA, US). Alexa Fluor® 488 AffiniPure Donkey Anti-Rabbit IgG (Cat. #711-545-152, Jackson Immuno Research, West Grove, PA, US) and BODIPY 558/568 phalloidin, which stains actin fibers, (Cat. # B3475, Thermo Fisher Scientific, Waltham, MA, US) were diluted in antibody diluent 1:500 and 1:400 respectively and applied to the slides as secondary antibodies.

Immunocytochemistry

Murine primary macrophages were fixed with 4% paraformaldehyde (PFA) for 15 minutes at 37°C, subsequently permeabilized with 0.1% Triton-X, and blocked with 3% bovine serum albumin (BSA) in PBS for each 30 minutes at room temperature (RT). Cells were incubated overnight with either rabbit anti-S. aureus polyclonal antibody or rabbit anti-CD68 polyclonal antibody (Cat. # BOSSBS-0649R, VWR, Radnor, PA, US) diluted 1:400 or 1:200 in 3% BSA in PBS respectively. The following day, the slides were washed three times with PBS. Cy3-conjugated AffiniPure Donkey Anti-Rabbit IgG (Cat. #711-165-152, Jackson Immuno Research, West Grove, PA, US) and Alexa Fluor™Plus 647 Phalloidin (Cat. # A30107, Thermo Fisher Scientific, Waltham, MA, US) were applied to the cells diluted 1:500 and 1:400 in 3% BSA in PBS respectively and incubated for 1 hour at RT. The cells were then mounted with DAPI Fluoromount-G.

The immunofluorescence pictures were taken with an AxioObserver Z.1 microscope (Carl Zeiss AG, Oberkochen, Germany) and analyzed with the Zen software (Zen Pro v3.3).

RNA extraction and mRNA sequencing

RNA was extracted from murine lung tissue using the Trizol/Chloroform method. First, about 15 mg of lung tissue was homogenized in TriZol LS reagent (Thermo Fisher Scientific, Waltham, MA, US) using the SpeedMill Plus. The tissue-free supernatant of the homogenate was transferred into a new tube after centrifugation. 50 µl of chloroform was added to 250 µl TriZol Reagent, incubated for 3 minutes at RT, and centrifuged at 12000xg for 15 minutes at 4°C. The aqueous phase was mixed with isopropanol in a 1:2 ratio and incubated at RT for 10 minutes before centrifugation at 12000xg for 10 minutes at 4°C. Afterward, the RNA pellet was washed twice with 75% ethanol. Finally, ethanol was removed, and the pellet was air-dried for 5-10 minutes. The dry pellet was then dissolved in sterile distilled water, and RNA concentration was determined by an ND-1000 NanoDrop spectrophotometer (PEQLAB Biotechnologie GmbH, Erlangen, Germany). Before sequencing, RNA integrity was measured using a 5400 Fragment Analyzer (Agilent Technologies, Santa Clara, CA, US)) RNA concentration and RNA integrity of the samples can be found in Supplemental Table 1.

Library construction and mRNA sequencing were performed by Novogene Co., LTD. (Beijing, China) using the Illumina platform Novaseq 6000 S4 flowcell V1.0, based on the sequencing by synthesis (SBS) mechanism and PE150 strategy. For bioinformatics analysis, raw reads in FASTQ format were first processed using fastp. Reads containing adapters and poly N sequences were removed as well as low quality reads to generate clean data. Clean reads were then mapped to the reference genome (Mus Musculus (GRCm39/mm39)) with the HISAT2 software. Gene expression levels were quantified using the FPKM method. DESeq2 software as well as negative binomial distribution was used for analysis of differential gene expression. For FDR (False discovery rate) calculation the Benjamini-Hochberg procedure was used. A summary of the quality of the sequencing data of each sample can be found in Supplemental Table 2.

Heatmaps of the differentially regulated genes (DEG) were constructed using R (v4.2.2; R Foundation for Statistical Computing, https://www.r-project.org/). Only significant DEGs (p-value < 0.05) were displayed in the heatmaps. Non-significant genes were set to zero and are shown in white. All DEGs used for construction of the respective heatmaps are summarized in Supplemental Table 3a-i.

Immunophenotyping of the spleen

Mice were sacrificed as described above, and spleens were freshly stored in cold 2% FCS in PBS. For isolation of immune cells, spleens were mashed through a 70 µm cell strainer (Miltenyi Biotec, Bergisch Gladbach, Germany), and red blood cell lysis was performed by adding 5 ml of Ammonium–chloride–potassium (ACK) lysis buffer (Thermo Fisher Scientific, Waltham, MA, US) for 5 minutes at 4°C to the pelleted cells. Cells were then counted, adjusted to 2x10⁶ per ml PBS, and stained with BD Fixable Viability Stain 780 (BD Biosciences, Heidelberg, Germany) diluted 1:1000 in PBS for 15 minutes at RT. Unspecific binding of antibodies was blocked by incubating the samples with 3% rat serum in BD staining buffer (BD Biosciences, Heidelberg, Germany) for 5 minutes at RT. Anti-CD11c (Cat. #557401), anti-CD19 (Cat. #566412), anti-CD335 (Cat. #564069), anti-CD34 (Cat. #742971), anti-CD3ε (Cat. #553066), anti-Ly6G (Cat. #560601), and anti-F4/80 (Cat. #565411) were added to the samples in a dilution of 1:100 and incubated for 20 minutes at 4°C. All antibodies were purchased from BD Biosciences. Stained samples were measured with a BD Symphony A1 (BD Biosciences, Heidelberg, Germany), and analysis was performed with FlowJo v10.8.1. Detailed information on the gating strategy is presented in Supplemental Figure 3A.

Isolation and infection of murine T cells and alveolar macrophages

Terc^ko/ko and young WT mice were sacrificed. Killing for scientific purposes was conducted in accordance with the german animal welfare regulations. Alveolar macrophages (AMs) were isolated as published elsewhere (Rios, Touyz, & Montezano, 2017). In short, the murine lungs were washed out several times with PBS containing 0.5 mM Ethylenediaminetetraacetic acid (EDTA). The lavage was centrifuged at 350xg for 10 minutes at 4°C. The cell pellet was dissolved in Roswell Park Memorial Institute (RPMI) medium containing 20 mM HEPES and 5% fetal calf serum (FCS) and counted. Subsequently, cells were seeded and incubated at 37°C for 2 hours.

Lymphocytes were isolated from the spleen as described above. To subsequently isolate CD4⁺ T cells, cells were separated via magnetic cell separation. These cells were mixed with CD4⁺ beads and separated via MACS LS Columns (both Miltenyi Biotec, Bergisch Gladbach, Germany) according to the manufacturer’s protocol. The purity of the resulting CD4⁺ T cell population was measured via flow cytometry using a BD Symphony A1 (BD Biosciences, Heidelberg, Germany). T cells were added to AMs for co-culture in a 1:1 ratio or cultured alone.

For infection with heat-killed (HK) S. aureus, a multiplicity of infection (MOI) of 5 was calculated, and the appropriate bacteria volume was added to each well. Cells were then incubated for 24 hours and harvested for downstream analysis.

Cytokine measurement

For cytokine measurements, the lung tissue was homogenized using a SpeedMill Plus in the appropriate volume of PBS to adjust the organs to their weight in mg. Then, the cytokines were measured with the LEGENDPlex^TM mouse inflammation panel (BioLegend, San Diego, CA, US) according to the manufacturer’s instructions. Samples were run in duplicates on the same plate. For the young WT and Terc^ko/ko cohort three biological replicates and for old WT cohorts four biological replicates were measured. Supernatants of co-cultured and single-cultured T cells were measured with the LEGENDPlex^TM mouse T helper cytokine panel (BioLegend, San Diego, CA, US). For each condition three biological replicates were measured. All samples were run on the same plate. Flow cytometry analysis was performed with a BD Symphony A1, and data analysis was carried out with the Qognit software v2023-02-15 (BD Biosciences, Heidelberg, Germany).

Flow cytometry

Co-cultured and single-cultured T cells were transferred to FACS tubes and centrifuged at 500xg for 5 minutes at 4°C. The supernatant was frozen for cytokine measurements, and the cell pellet was stained with PBS containing 1:1000 diluted BD Fixable Viability Stain 780 (Cat. # 565388, BD Biosciences, Heidelberg, Germany) for 15 minutes at RT. Staining of surface markers was performed as described above. Samples were stained with anti-CD3ε (1:100, Cat. #553066), anti-CD25 (1:800, Cat. #553866), anti-CD69 (1:400, Cat. # 551113) and anti-CD44 (1:100, Cat. # 560569) for 30 minutes at 4°C. All antibodies were purchased from BD Pharmingen. Subsequently, samples were permeabilized and fixed. For this, the samples were centrifuged for 5 minutes at 500xg and 4°C, resuspended in BD Cytofix/Cytoperm buffer (BD Biosciences, Heidelberg, Germany), and incubated for 20 minutes at 4°C. Samples were washed once with BD Perm/Wash Buffer (BD Biosciences, Heidelberg, Germany). For intracellular staining, samples were stained with anti-CD247 (1:100, Cat. # ab91493, Abcam, Cambridge, UK) antibody in BD Perm/Wash Buffer for 30 minutes at 4°C. Lastly, the samples were washed and resuspended in BD Perm/Wash Buffer. Stained samples were measured with a BD Symphony A1 and analyzed with FlowJo v10.8.1. Detailed information on the gating strategy is presented in Supplemental Figure 3C.

Scanning electron microscopy (SEM)

T cells and AMs were isolated as described above. Cells were grown on poly-L-lysine (Merck-Millipore, Burlington, MA, US) coated glass coverslips in a 1:1 ratio. T cells were allowed to attach to the coverslips for 30 minutes before adding S. aureus. After adhesion of T cells, S. aureus USA300 was added at a MOI1 and incubated at 37°C. After 3.5 hours, the samples were fixed with freshly prepared modified Karnovsky fixative (4% w/v paraformaldehyde, 2.5 % v/v glutaraldehyde in 0.1 M sodium cacodylate buffer, pH 7.4) for 1 hour at RT. After washing each 3 times for 15 minutes with 0.1 M sodium cacodylate buffer (pH 7.4), the cells were post-fixed with 2% (w/v) osmium tetroxide for 1 hour at RT. Subsequently, the samples were dehydrated in ascending ethanol concentrations (30, 50, 70, 90, and 100%) for 15 minutes each. Next, the samples were critical-point dried using liquid CO₂ and sputter coated with gold (thickness approx. 2 nm) using a CCU-010 sputter coater (safematic GmbH, Zizers, Switzerland). Finally, the specimens were investigated with a field emission SEM LEO-1530 Gemini (Carl Zeiss NTS GmbH, Oberkochen, Germany).

Statistical analysis and scheme design

Statistical analysis was carried out using GraphPad Prism 9. Illustrations were created with BioRender.com.

Results

Terc knockout is associated with severe pneumonia in mice

To investigate the impact of Terc on the course of S. aureus pneumonia, we used two murine aging models and compared them to young wild type (WT) mice. For this purpose, we performed an intranasal infection of Terc^ko/ko mice at the age of 8 weeks and naturally aged mice at the age of 2 years (old WT) with the S. aureus strain USA300. WT mice at the age of 8 weeks (young WT) were additionally infected and utilized as the control group (Figure 1A).

Figure 1:

The clinical score of infected Terc^ko/ko mice was increased compared to the other two infected mice cohorts at 24 hours post infection (hpi) (Figure 1A). The bacterial load was significantly higher in the bronchoalveolar lavage (BAL) of Terc^ko/ko mice compared to old WT mice (Figure 1B). Interestingly, three distinct degrees of severity were observed in the infected Terc^ko/ko mice (n = 5): mild infection, systemic infections, or fatal infections (Supplemental Figure 1A). Mice exhibiting systemic infection were characterized by the presence of bacteria in extra pulmonary organs, specifically observed in the liver and kidney tissues of some Terc^ko/ko mice (Supplemental Figure 1B).

Infection of young WT mice resulted in a significant decrease in bodyweight at 24 hpi. The body weight of infected Terc^ko/ko mice was reduced compared to the infected old WT mice and the non-infected Terc^ko/ko mice (Figure 1C). In contrast, at 24 hpi the relative weight of the lung was increased in infected compared to the non-infected mice for all cohorts, indicating inflammation of the lung (Figure 1D). However, this effect was the most pronounced in young WT mice.

Based on our observation of the different degrees of severity displayed by the infected Terc^ko/ko mice, we categorized them according to their clinical score and the presence of bacteria in extra pulmonary organs, distinguishing between mice with and without systemic infection. This grouping resulted in more pronounced differences between the mice cohorts regarding bacterial load and reduction of relative body weight (Supplemental Figure 1C-D). The relative lung weight increased for all groups compared to the respective non-infected mice, except for the Terc^ko/ko mouse without systemic infection (Supplemental Figure 1E). Additionally, average telomere length of the lungs of young and old WT as well as Terc^ko/ko mice was measured. As shortened telomeres are a hallmark of aging, impacting other cellular mechanisms such as cellular senescence, they could have an influence on the disease progression (López-Otín et al., 2023). Notably, the telomeres of Terc^ko/ko mice were the shortest among the three different mouse models, even shorter than those of naturally aged mice (Supplemental Figure 1F).

In order to investigate gene expression patterns, mRNA sequencing of the lungs was performed. This data supported the grouping of infected Terc^ko/ko mice into different groups, as the principal component analysis (PCA) plot showed a separate cluster containing Terc^ko/ko mice with systemic infection (Supplemental Figure 1G).

Immunofluorescence (IF) staining of S. aureus within the lung tissue of all three infected mice cohorts was carried out. The increased signal for S. aureus in sections of Terc^ko/ko mice compared to sections of young WT and old WT mice closely reflects the quantified CFU detected in the BAL (Figure 1E).

Terc^ko/ko mice were characterized by an increased bacterial load in the lungs, a higher clinical score as well as mortality (Figure 1A-B; Supplemental Figure 1A). Additionally, we could observe different degrees of severity in the infected Terc^ko/ko cohort and could identify a subgroup of mice with systemic infection (Supplemental Figure 1A-B and G).

Terc^ko/ko mice showed excessive inflammation with inflammasome activation

In order to investigate the underlying pathomechanisms leading to a more severe course of disease in the Terc^ko/ko mice, inflammation parameters in the lungs were measured. In the course of this analysis, we applied the previously outlined groups of mice, differentiating between those with and without systemic infection in the Terc^ko/ko cohort. Several pro-inflammatory cytokines were significantly upregulated in Terc^ko/ko mice with systemic infection, such as Interleukin-6 (IL-6), Granulocyte-macrophage colony-stimulating factor (GM-CSF), and interleukin-1β (IL-1β). Other important pro-inflammatory factors like Tumor necrosis factor α (TNFα) and Interleukin-1α (IL-1α) were also elevated (Figure 2A). A significant upregulation of pro-inflammatory mediators was, however, solely detected in infected Terc^ko/ko mice compared to the corresponding non-infected control cohort (Figure 2A).

Figure 2:

We performed mRNA sequencing of the murine lung tissue to elucidate potential differentially expressed genes that contribute to the more severe illness of Terc^ko/ko mice. Comparison of the gene expression profile of the different groups revealed that non-infected young WT and Terc^ko/ko mice cluster together and show a similar expression profile. In contrast, the infected mice of those cohorts display different expression patterns (Figure 2B). This highlights that most differences between the knockout and WT mice are only present after infection with S. aureus. Furthermore, both non-infected and infected old WT mice show a completely distinct expression profile compared to young WT as well as Terc^ko/ko mice (Figure 2B).

Intriguingly, several genes related to the NLRP3 inflammasome pathway, such as NLRP3 or Thioredoxin Interacting Protein (TXNIP), were upregulated in infected Terc^ko/ko, indicating activation of the inflammasome (Figure 2C; Supplemental Figure 2A). Notably, expression of genes encoding for TNFα, IL-1β, and IL-6 were heightened. Thus, the increased inflammation in the lungs of Terc^ko/ko mice is likely induced by activation of the NLRP3 inflammasome (Figure 2C; Supplemental Figure 2A). Supporting this, the Nucleotide oligomerization domain (NOD)-like receptor signaling pathway was among the most significantly enriched pathways when comparing infected Terc^ko/ko and young WT mice (Figure 2D).

Macrophages are part of the first line of defense against bacterial infections as they can phagocytose bacteria and support pathogen clearance. AMs are present in the lung and can directly react to the pathogen at the site of infection via the production of inflammatory mediators or attraction of other immune cells (Malainou, Abdin, Lachmann, Matt, & Herold, 2023). To specifically investigate the role of AMs during S. aureus infection, we isolated them from lungs of young WT and Terc^ko/ko mice. By using scanning electron microscopy (SEM) we could strikingly visualize the ability of AMs to phagocytose S. aureus (Figure 3A). Additionally, we identified the AMs via IF staining of the macrophage marker CD68 (Supplemental Figure 2B).

Figure 3:

Notably, our sequencing data revealed an upregulation of pro-inflammatory M1 macrophage markers, such as C-X-C Motif Chemokine Ligand 2(CXCL2), in Terc^ko/ko mice following infection (Figure 3B; Supplemental Figure 2C). Anti-inflammatory M2 markers, e.g., Interferon Regulatory Factor 4 (IRF4), were mainly downregulated. Additionally, cluster of differentiation 14 (CD14), a general macrophage marker, was increased in the infected Terc^ko/ko mice (Figure 3B; Supplemental Figure 2C). Furthermore, the expression of multiple chemokines such as C-X-C Motif Ligand 1-3 (CXCL1-3) and C-C Motif Chemokine Ligand 2 (CCL2) was elevated, suggesting increased migration of leukocytes such as macrophages and neutrophils to the lung (Figure 3C; Supplemental Figure 2D). Additionally, the TNF, NF-κB and IL-17 signaling pathways were among the most significantly enriched pathways in infected Terc^ko/ko mice compared to young WT mice (Figure 2D).

Combining the findings above, S. aureus infection in Terc^ko/ko mice leads to excessive inflammation induced by NLRP3 inflammasome activation and infiltration of pro-inflammatory immune cells, such as M1 macrophages.

The T cell receptor is partially downregulated in infected Terc^ko/ko mice

In addition to macrophages, T cells and their activation play a crucial role in the immune response and are vital for resolving infections. Surprisingly, multiple general T cell markers such as CD2, CD5, and CD4 were downregulated in the infected Terc^ko/ko mice compared to young WT mice (Figure 4A; Supplemental Figure 2E). However, these distinctions are not evident in comparisons between non-infected Terc^ko/ko and young WT mice. This further emphasizes that the observed variations in immune response activation arise specifically in response to infection (Figure 4A). Some T cell markers, such as CD5, that were downregulated in infected Terc^ko/ko mice were also downregulated in infected old WT mice compared to young WT mice (Supplemental Figure 2E).

Figure 4:

To rule out that this effect is caused by a reduction of T cells in Terc^ko/ko mice, the immune cells of non-infected Terc^ko/ko, young WT and old WT mice were analyzed via flow cytometry. However, no significant difference was observed between the groups (Figure 4B).

Additionally, several genes belonging to the T cell receptor (TCR) signaling pathway were downregulated in infected Terc^ko/ko mice, such as CD3G (encoding CD3γ) and CD247 encoding CD3ζ (Figure 4C, Supplemental Figure 2F).. Expression of downstream factors of the TCR like Lymphocyte Cell-Specific Protein-Tyrosine Kinase (LCK), linker of activation (LAT) and IL-2 inducible T cell kinase (ITK) was also reduced (Figure 4C, Supplemental Figure 2F). We also noted several of these distinctions, including the downregulation of LCK and ITK when comparing infected old WT and young WT mice (Figure 4C). Since there was no reduction of T cells in Terc^ko/ko mice, the change in TCR signaling and marker expression is likely induced by the infection.

Specifically, CD247 was the only gene downregulated compared to infected young WT, old WT, and non-infected Terc^ko/ko mice (Figure 4C). Additionally, CD247 was downregulated in infected old WT mice compared to infected young WT mice (Figure 4C). CD247 is an essential factor for the assembly of the TCR and the downstream signaling after stimulation with an antigen (Jin, Yuan, Mehta, Ezenwa, & Morel, 2024; Pitcher et al., 2003). In young WT mice gene expression levels of CD247 were increased with infection, likely due to proliferation and infiltration of T cells. (Figure 4D). Notably, in infected Terc^ko/ko mice, the expression of CD247 is absent. Moreover, there is no difference in CD247 expression between non-infected and infected old WT mice (Figure 4D). Similar trends can be seen for other T cell markers, such as Programmed Cell Death 1 (PDCD1) and CD4 (Figure 4E and F). Additionally, the TCR signaling pathway and Th1 and Th2 differentiation pathway are among the most enriched pathways in infected young WT mice compared to non-infected young WT mice. In contrast, those pathways are not upregulated when comparing infected Terc^ko/ko with non-infected Terc^ko/ko mice (Supplemental Figure 3B).

These findings indicate a malfunction in the activation of T cells as components of the TCR signaling pathway were partially downregulated. The complete absence of CD247, an essential factor for downstream activation of the TCR, indicates aberrant T cell function of Terc^ko/ko mice during infection.

T cells of Terc^ko/ko mice do not adequately react to infectious challenge

To investigate the functionality of T cells and their CD247 expression in Terc^ko/ko mice during infection, murine T cells and AMs were isolated. Overstimulation of T cells could be a potential explanation for the dysregulated TCR signaling. Therefore, to study the impact of AMs on T cells we infected the co-culture of both isolated cells with a multiplicity of infection 5 (MOI5) of heat-killed (HK) S. aureus for 24 hours (Figure 5A). All components of the experimental setup were visualized using SEM. In particular, the close association between AMs and T cells was notable (Figure 5B). IF staining of AMs of Terc^ko/ko and young WT mice revealed the successful internalization of S. aureus as well as a change of phenotypic appearance to a more activated shape (Figure 5C).

Figure 5:

Utilizing flow cytometry, we observed a substantial elevation in the baseline expression of CD247 in T cells from Terc^ko/ko mice in comparison to T cells from young WT mice at 24 hpi (Figure 5D). However, there was no increase in CD247 expression upon stimulation with S. aureus in the Terc^ko/ko T cells (Figure 5D). In contrast, observation of T cells of young WT mice revealed a tendency towards an increase in CD247 expression in response to S. aureus stimulation (Figure 5D). This indicated improper activation of TCR signaling after S. aureus stimulation in T cells of Terc^ko/ko mice.

We could also detect differences in cytokine production when comparing the AMs and T cells from young WT and Terc^ko/ko mice. At 24 hpi, IL-1α production was significantly higher in T cells from young WT mice stimulated with S. aureus when compared to the T cells from Terc^ko/ko mice (Figure 5D, left). Notably, in the co-culture, IL-1α production was significantly higher in Terc^ko/ko cells 2 hpi (Figure 5D, right). On the contrary, there was a significant induction of IL-1α in the young WT co-culture but no increase in the Terc^ko/ko co-culture with S. aureus stimulation after 24 hours (Figure 5D, right).

Our data indicate that T cells from Terc^ko/ko mice do not effectively react to the infectious stimulus and thus seem dysfunctional due to TCR downregulation.

Discussion

Shortening of telomeres is a key factor in the aging process and has a significant impact on other hallmarks of aging, such as mitochondrial dysfunction and cellular senescence (Birch, Barnes, & Passos, 2018; López-Otín et al., 2023). In this context, the discussion surrounding the importance of Terc is primarily confined to its role within telomerase. Consequently, other potential functions of Terc in various cellular processes have been largely overlooked. Interestingly, various studies have linked Terc to inflammation, as it has been shown to activate the NF-κB and PI3K-AKT pathways (Liu et al., 2019; Wu et al., 2022). Another study could show that the deletion of Terc in mice resulted in NLRP3 inflammasome activation after infection with S. aureus, thus contributing to more severe pneumonia (Kang et al., 2018). These studies suggest a close association between Terc, inflammation, and the response to bacterial lung infections.

In our study, we utilized a Terc^ko/ko S. aureus pneumonia model to investigate this connection. In accordance with german animal welfare regulations and the 3R principle, we only had a reduced number of Terc^ko/ko mice available for the experiment, as some infections were fatal. This reduced number of mice is a limitation of our study. However, we could demonstrate that Terc^ko/ko mice presented with a more severe pneumonia, higher bacterial load, and increased mortality compared to old and young WT mice (Figure 1). Additionally, we could show that infected Terc^ko/ko mice are rather heterogeneous and display several degrees of severity, which we investigated separately. Of 5 infected mice, 2 died, 2 displayed signs of a systemic infection and only 1 had a mild infection. The mice with systemic infection were grouped based on the presence of bacteria in organs other than the lung, as well as the sequencing data, where they clustered separately. The in this study conducted subclassification into different degrees of severity of Terc^koko mice is lacking in similar studies, highlighting the here gained detailed insights. Terc^ko/ko mice were previously shown to have higher susceptibility to S. aureus pneumonia, although they exhibited a reduced bacterial load in their lungs.(Kang et al., 2018). These differences may be attributed to the missing separation of infected Terc^ko/ko mice into different degrees of severity. Additionally, this heterogeneity in disease manifestation points towards the limitations of mouse models to study S. aureus pathologies. There are a variety of differences between S. aureus infections in humans and mice. For instance several relevant virulence factors (e.g. Pantone-Valentine leukocidine) function less efficient in mice than in humans (Zheng et al., 2023). Therefore, higher infection doses are needed to successfully establish an infection that is comparable to humans (Zheng et al., 2023).

Inflammation and the activation of the NLRP3 inflammasome are necessary components to fight bacterial infections of the lung. However, excessive inflammation and over-activation of the NLRP3 inflammasome lead to lung injury and can impede pathogen clearance, thus contributing to S. aureus-induced pathologies (McVey, Steinberg, & Goldenberg, 2021; Wang et al., 2022). Upon examining the lungs of infected Terc^ko/ko mice with systemic infection, we identified a marked increase in inflammation parameters (Figure 2). Furthermore, we discovered that genes associated with the NLRP3 inflammasome pathway were elevated in the infected Terc^ko/ko mice but not in the corresponding non-infected control cohort. As published previously, this implies that Terc knockout on its own does not result in heightened inflammation and inflammasome activation but rather requires an external trigger (Kang et al., 2018). Inflammasome activation in Terc^ko/ko mice was connected to mitochondria dysfunction and an elevated reactive oxygen species (ROS) production. Additionally, regulation of the inflammasome seems to be dysfunctional as TNAIFP3, an important negative regulator of the inflammasome was downregulated in the Terc^ko/ko mice in this study (Kang et al., 2018). However, we did not observe downregulation of TNFAIP3, but rather an upregulation in infected Terc^ko/ko mice (Figure 2C). These differences may however be attributed to the different study design. Kang et al. focused on telomere dysfunction studying macrophages of old Terc^ko/ko, while our study investigated the entire lung of young Terc^ko/ko mice. Of particular note were the heightened levels of IL-1β, a factor known for its ability to amplify the inflammatory response and facilitate the infiltration of pro-inflammatory immune cells, thereby fostering pulmonary injury (Chen et al., 2018; Hu et al., 2020). Additionally, pro-inflammatory macrophages infiltrating the lung are critical to inflammation-mediated lung injury (Chen et al., 2018; Guan, Zhou, Zhou, & Lin, 2023). In our study, we could identify the upregulation of several pro-inflammatory macrophage markers in infected Terc^ko/ko mice, as well as several chemokine markers further exacerbating the inflammation in the lung via attraction of immune cells (Figure 3). Notably, we did not observe upregulation of inflammation parameters or activation of the inflammasome in the infected old WT mice. Although CD14 showed a slight increase in non-infected old WT mice compared to non-infected young WT mice, there was no upregulation of macrophage markers in the infected cohorts of these groups. Innate immune cells of aged individuals especially macrophages are associated with chronic low grade inflammation contributing to injury during infection (Duong et al., 2021). However studies could also show that macrophages of aged mice had a reduced response to stimulation of pathogen recognition receptors such as Toll-like receptor 2 (TLR2). This results in an initially diminished and delayed response of macrophages to infectious challenge, which could be a possible explanation for the lack of inflammation at 24 hpi (Boe, Boule, & Kovacs, 2017; Hinojosa, Boyd, & Orihuela, 2009).

An overactive inflammatory response not only causes tissue damage but also leads to T cell dysfunction (Guan et al., 2023). A possible mechanism is the downregulation of CD247, which is the CD3ζ chain of the TCR. CD247/CD3ζ is necessary for the assembly of the receptor at the cell surface. Furthermore due to its multiple immunoreceptor tyrosine-based activation (ITAM) motifs, it is a central factor in the signal transduction (Bronstein-Sitton et al., 2003; Jin et al., 2024). The downregulation or absence of CD247/CD3ζ is linked to reduced responsiveness in T cells and is commonly present in autoimmune diseases like rheumatoid arthritis and lupus (Dexiu, Xianying, Yingchun, & Jiafu, 2022). This mechanism also occurs in various chronic infectious diseases, including HIV and Hepatitis C (Dexiu et al., 2022). However, it can also be a general regulatory process in T cells during infection, helping to maintain immune homeostasis and prevent excessive inflammation (Baniyash, 2004; van der Donk et al., 2021).Thus, the connection between CD247/CD3ζ downregulation during chronic inflammation and chronic infectious diseases has been well documented (Dexiu et al., 2022). Interestingly, we could show that expression of CD247 is entirely absent in infected Terc^ko/ko mice, while in the non-infected Terc^ko/ko mice expression of CD247 could be detected after 24 hours of infection. Hence, our data indicates that infection combined with deletion of Terc is associated with reduction of CD247 expression. Our study provides the first evidence of the total absence of CD247 expression during acute bacterial infection and inflammation (Figure 4).

Previous work has already reported that constant stimulus with bacterial antigens reduces the expression of CD247/CD3ζ and impairs T cell function (Bronstein-Sitton et al., 2003). However, the complete absence of CD247/CD3ζ after a single antigenic stimulus, without chronic inflammation as well as the connection to knockout of Terc, are novel findings. These findings require further studies and investigations to gain a deeper understanding of the underlying mechanisms.

Downregulation of CD247/CD3ζ is facilitated by myeloid suppressor cells (MSC), which accumulate at the site of inflammation (Baniyash, 2004; Dexiu et al., 2022; Ezernitchi et al., 2006). MSC are cells which exert an immunosuppressive function on T cells in response to inflammation or infection (Medina & Hartl, 2018). Thus MSC contribute towards the regulation of the immune response to pathogens to prevent an overshooting reaction of the immune system (Medina & Hartl, 2018). However their immunosuppressive function can also exacerbate infections. For instance, elevated levels of MSC induced T cell dysfunctionality and caused an exacerbated and sustained chronic infection in an S. aureus mouse model (Tebartz et al., 2015). Immunosuppression of T cells is conveyed by multiple mechanisms, one of which is the downregulation of CD247/CD3ζ (Ezernitchi et al., 2006). This process is facilitated among others by the ability of MSCs to metabolize the amino acid arginine, as arginine seems to be essential for expression of CD247 in T cells (Ezernitchi et al., 2006; Rodriguez et al., 2004). Interestingly, we could identify several MSC markers, such as lymphocyte antigen 6 family member G (LY6G), to be upregulated in the infected Terc^ko/ko mice. This suggests a potential role of MSCs in the downregulation of CD247/CD3ζ (Supplemental Figure 3E). Notably, we could identify reduced expression of CD247 in infected old WT mice compared to young WT mice. Moreover, our sequencing data did not show an increase in CD247 expression in infected old WT mice compared to the non-infected control group, which further suggests that the T cells of old WT mice may also exhibit some level of dysfunction (Figure 4). One potential underlying mechanism is the reduced ability of aged macrophages to activate T cells due to diminished expression of the receptor required for presentation of the antigen (Herrero, Marqués, Lloberas, & Celada, 2001). Furthermore, T cells of aged individuals become increasingly deficient due to immunosenescence and exhaustion (Mittelbrunn & Kroemer, 2021). Supporting this, we could observe downregulation of CD27 compared to infected Young WT mice respectively, while CTLA4 was upregulated in infected old WT compared to uninfected mice (Supplemental Figure 2E and F). Downregulation of CD28 and CD27 is part of T cell aging and an essential marker of T cell senescence, while upregulation of CTLA4 is part of a signature pointing to T cell exhaustion (Zhao, Shao, & Peng, 2020). Interestingly, senescent T cells have shorter telomeres and exhibit reduced telomerase activity, which indicates a possible connection between Terc and T cell function (Mittelbrunn & Kroemer, 2021). Interestingly, CD28 expression was downregulated in infected Terc^ko/ko mice compared to old WT infected mice (Figure 4A and C). However, we did not observe any other relevant changes of T cell senescence or exhaustion markers in infected Terc^ko/ko mice (Figure 4A and C). Thus T cell senescence could be a contributing factor to the T cell dysfunctionality, but likely does not explain the complete phenotype. The differences in the expression of T cell senescence and exhaustion markers, in addition to the lack of increased inflammation in old WT mice, indicates that mechanisms causing downregulation of parts of the TCR and T helper cell markers in old WT and Terc^ko/ko mice differ from each other. As T cell senescence is however a known consequence of Terc deletion, the lack of in depth investigation of this process in the present study is a limitation (Matthe et al., 2022). Further experiments investigating the role of T cell senescence in this model should therefore be conducted.

Hence, old WT mice exhibit certain immune cell dysfunction similarities. However, given the intricate nature of aging, other mechanisms contribute to the distinct response observed in Terc^ko/ko and old WT mice following infection. This highlights the necessity of employing a knockout model to specifically examine the influence of Terc on infection, isolating it from the multifaceted processes involved in aging.

We observed an increase in pro-inflammatory macrophages in the lungs of Terc^ko/ko mice during infection. To explore the role of macrophages in regulating T cell function during infection, we investigated whether AMs were sufficient to induce CD247/CD3ζ downregulation in T cells. While CD247/CD3ζ expression increased with bacterial stimulation in T cells from young WT mice, we failed to induce such an increase in CD247/CD3ζ expression in T cells from Terc^ko/ko mice (Figure 5). The expression pattern of CD247/CD3ζ was similar to that observed in the sequencing data, as initial levels of CD247/CD3ζ expression in non-infected Terc^ko/ko mice were higher than those of young WT mice. However, there was no significant reduction of CD247/CD3ζ after stimulation with bacteria in the T cells of Terc^ko/ko mice. One potential explanation for this finding is the absence of MSCs and other infiltrating cells, which can contribute to the inflammatory environment and lead to T cell dysfunction. Furthermore, after 24 but not 2 hours of infection, we observed a reduced release of the pro-inflammatory cytokine IL-1α from Terc^ko/ko T cells, suggesting a time-dependent reduction of T cell function. The results of the experiment conducted on T cells of Terc^ko/ko mice revealed an insufficient response to the bacterial stimulation, as there was no significant increase in CD247/CD3ζ expression or IL-1α release after 24 hpi. However, additional experiments are needed to validate and further investigate the underlying mechanisms leading to T cell dysfunctionality in Terc^ko/ko mice.

Our data points towards the pivotal role of Terc in the regulation of inflammation as well as maintaining immune homeostasis during infection. We could demonstrate that S. aureus pneumonia in Terc^ko/ko mice resulted in an overshooting inflammation and activation of the NLRP3 inflammasome. The elevated inflammation eventually leads to T cell dysfunction, which impairs the host’s ability to mount an effective immune response against the pathogen, resulting in increased bacterial load and mortality. As T cell dysfunctionality is caused by the excessive inflammation, other pathogens inducing high inflammatory responses in the host could also lead to a similar phenotype in Terc^ko/ko mice.

This study linked T cell dysfunction to Terc deletion for the first time and thus provided insights into possible mechanisms contributing to a more severe S. aureus pneumonia in the aging population.

Acknowledgements

Breeding pairs of Terc^ko/ko mice were kindly provided by Lenhard Rudolph (Leibniz Institute on Aging, Jena, Germany). We thank Sylvia Hänßgen, Yvonne Ozegowski, and Lea Herrmann for their excellent technical assistance.

Conflicts of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Funding

This work is supported by the BMBF, funding program Photonics Research Germany (“LPI-BT1-FSU”, FKZ 13N15466; “LPI-BT2-IPHT”, FKZ 13N15704) and is integrated into the Leibniz Center for Photonics in Infection Research (LPI). The LPI initiated by Leibniz-IPHT, Leibniz-HKI, UKJ, and FSU Jena is part of the BMBF national roadmap for research infrastructures. We also want to thank the BMBF for the funding for the “ADA” (13GW0456A). In addition, this work was supported by funding from the Foundation “Else Kröner-Fresenius-Stiftung” within the Else Kröner Graduate School for Medical Students “Jena School for Ageing Medicine (JSAM). This research was also supported by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany’s Excellence Strategy-EXC 2051 (Project ID No. 390713860).

Author Contributions

Conceptualization, S.D.-E.; methodology, Y.R; F.H., A.H., T.L., S.N., writing—original draft preparation, Y.R.; S.D.-E. writing—review and editing, all authors; visualization: Y.R., S.D.-E.; resources and supervision: B.L., S.D.-E.; funding acquisition, B.L.; S.D.-E. All authors have read and agreed to the published version of the manuscript.

Data availability statement

The data supporting this study’s findings are available from the corresponding author upon reasonable request.

Supplemental Figure 1: Terc^ko/ko mice with systemic infection display more severe pneumonia with bacteremia and increased mortality.

(A) Clinical score of infected Terc^ko/ko mice at the time of infection (0 dpi) and 24 hpi (1 dpi). The mice were divided into three groups according to their clinical score values: mice with mild infection (dark blue dots; n=1), mice with systemic infection (light blue dots; n=2), and mice where infection resulted in a fatal outcome (black dots; n=2). Mice with systemic infection were defined as mice with an increased clinical score and the presence of bacteria in organs other the lung.

(B) Bacterial load of kidney and liver tissue of the infected Terc^ko/ko mice (each n=3). Light blue data points represent mice with systemic infection, while dark blue dots represent the mouse with mild infection.

(C) Bacterial load of the lung of infected mice at 24 hpi. Young WT and old WT mice: n=5; Terc^ko/ko mice with systemic infection: n=2, Terc^ko/ko mice without systemic infection: n=1. Data is displayed as logarithmic.

(D) Relative body weight of young WT (each n=5), old WT (each n=5) and Terc^ko/ko mice (non-infected: n = 3; with systemic infection: n=2; without systemic infection: n =1). Relative body weight displays body weight at 24 hpi as a percentage of the body weight at the time of infection.

(E) Relative lung weight of y young WT (each n=5), old WT (each n=5) and Terc^ko/ko mice (non-infected: n = 3; with systemic infection: n=2; without systemic infection: n =1). Relative lung weight displays lung weight after 24 hpi as a percentage of the current body weight.

(F) Measurement of average telomere length per chromosome end in lungs of young WT (n=4), old WT (n=4) and Terc^ko/ko mice.

(G) PCA of sequenced lungs from young WT (each n=3), old WT (each n=3) and Terc^ko/ko mice (each n=3). The mice with systemic infection clustered separately from the other samples.

(H) Number of DEGs per comparison including up- and downregulated DEGs as well as the total count. Differential gene expression analysis was conducted using the DESeq2 software as well as negative binomial distribution. For FDR calculation the Benjamini-Hochberg procedure was used. For each mouse cohort three biological replicates were sequenced and used for analysis. Infected Terc^ko/ko mice were divided into systemic and non-systemic infected mice for several analyses (C, D, and E). *p < 0.05. P calculated by Kruskal-Wallis-test (C-E). Each replicate is displayed as a data point.

Supplemental Figure 2: Several pathways relevant for inflammation and adaptive and innate immune response are differentially expressed in infected Terc^ko/ko mice.

Heatmaps of DEGs related to the NLRP3 inflammasome pathway (A), macrophage marker (C), Chemokine signaling pathway (D), T helper cell marker (E), or TCR signaling (F). Red indicates upregulation, and blue indicates downregulation of the gene. Differential gene expression analysis was conducted using the DESeq2 software as well as negative binomial distribution. For FDR calculation the Benjamini-Hochberg procedure was used. Heatmaps were constructed using R Studio. Only significant DEGs (p-value < 0.05) were displayed in the heatmap. Non-significant genes were set to zero and are shown as white. DEGs are displayed as log2fold-change. For each mouse cohort three biological replicates were sequenced and used for analysis. The respective groups used for the comparison are indicated below each column. All comparisons are shown. B) Immunofluorescence staining of CD68 (red), actin (purple), and DAPI (blue) of AMs isolated from Terc^ko/ko and young WT mice. Representative pictures are shown for each group.

Supplemental Figure 3:

(A) Gating strategy for the immunophenotyping of cells from murine spleen. First, lymphocytes were selected, then duplicates and dead cells were excluded (APC-Cy7 negative). To avoid autofluorescence of macrophages, the F4/80 negative population was selected. For further calculations the CD3⁺ CD19^- cell population was used.

(B) Most differentially enriched KEGG pathways of infected Terc^ko/ko vs. infected old WT, infected young WT vs. non-infected young WT and infected Terc^ko/ko vs. non-infected Terc^ko/ko mice. The dot plots were constructed using R Studio.

(C) Gating strategy for T cells isolated from murine spleen to asses CD247 expression. First, lymphocytes were selected, duplicates and dead cells were excluded before selecting CD3⁺ CD247⁺ cells. This population was used for further calculations.

(D) CD44 expression measured with flow cytometry of non-infected and infected T cells (left) and co-cultured T cells and AMs (right) of young WT (each n=3) and Terc^ko/ko mice (each n=3) after 24 hpi. CD44 expression is displayed as geometric mean fluorescence intensity (gMFI).

(E) Heatmap of differentially regulated MSC markers. Red indicates upregulation, and blue indicates downregulation of the gene. Differential gene expression analysis was conducted using the DESeq2 software as well as negative binomial distribution. For FDR calculation the Benjamini-Hochberg procedure was used. Heatmaps were constructed using R Studio. Only significant DEGs (p-value < 0.05) were displayed in the heatmap. Non-significant genes were set to zero and are shown as white. DEGs are displayed as log2fold-change. For each mouse cohort three biological replicates were sequenced and used for analysis. The respective groups used for the comparison are indicated below each column.

Supplemental Figure 4:

(A) Overview of the methods used in this publication. Illustration was created with Biorender.

Supplemental Figure 5:

(A) Exemplary results of genotyping of Terc^ko/ko mice used for breeding. Knockout mice show a single band at 180 bp, while WT mice have a single band at 200 bp. Heterozygeous mice (WT/ko) display both bands. Results were analyzed using an Agilent 2200 TapeStation.