Skip to main content


Front. Immunol., 04 December 2020
Sec. T Cell Biology
Volume 11 - 2020 |

Vitamin D and IFN-β Modulate the Inflammatory Gene Expression Program of Primary Human T Lymphocytes

Niccolò Bianchi1,2†, Stefan Emming1†, Chiara Zecca3 and Silvia Monticelli1*
  • 1Institute for Research in Biomedicine (IRB), Università della Svizzera italiana (USI), Bellinzona, Switzerland
  • 2Graduate School for Cellular and Biomedical Sciences, University of Bern, Bern, Switzerland
  • 3Neurocenter of Southern Switzerland, Ospedale Regionale di Lugano, and Faculty of Biomedical Sciences, Università della Svizzera italiana, Lugano, Switzerland

IFN-β treatment is a commonly used therapy for relapsing-remitting multiple sclerosis (MS), while vitamin D deficiency correlates with an increased risk of MS and/or its activity. MS is a demyelinating chronic inflammatory disease of the central nervous system, in which activated T lymphocytes play a major role, and may represent direct targets of IFN-β and vitamin D activities. However, the underlying mechanism of action of vitamin D and IFN-β, alone or in combination, remains incompletely understood, especially when considering their direct effects on the ability of T lymphocytes to produce inflammatory cytokines. We profiled the expression of immune-related genes and microRNAs in primary human T lymphocytes in response to vitamin D and IFN-β, and we dissected the impact of these treatments on cytokine production and T cell proliferation. We found that the treatments influenced primarily memory T cell plasticity, rather than polarization toward a stable phenotype. Moreover, our data revealed extensive reprogramming of the transcriptional output of primary T cells in response to vitamin D and IFN-β and provide the bases for further mechanistic insights into these commonly used treatments.


Multiple sclerosis (MS) is an inflammatory disease of the central nervous system with an autoimmune etiology, in which self-reactive T lymphocytes are critically involved. Several T cell-derived inflammatory cytokines can impact the onset and severity of disease (1), with GM-CSF being a most prominent one. This is indicated, among other evidence, by the fact that mice lacking GM-CSF are resistant to the development of autoimmune inflammatory diseases, including experimental autoimmune encephalomyelitis (EAE), myocarditis, and collagen-induced arthritis (25). IFN-γ and IL-17 are also among the cytokines that can negatively affect MS disease or its animal model, EAE (1, 6). For instance, the percentage of IL-17-producing TH17 cells was expanded in MS patients and was shown to change with disease activity, increasing in patients with clinical exacerbation (7).

One of the commonly used treatment for MS patients is interferon-β (IFN-β), which was shown to reduce production of inflammatory cytokines by CD4+ T lymphocytes from relapsing-remitting MS patients (8). IFN-β can modulate cytokine production by T cells both directly and indirectly, by altering the phenotype of dendritic cells (DCs) (9, 10). Higher frequencies of GM-CSF-producing T cells were observed in MS patients compared to healthy controls, and these levels normalized upon IFN-β treatment (11). This treatment also led to increased IL-10 production, pointing toward a key role in dampening inflammatory responses in MS patients through multiple mechanisms. In the mouse, deletion of IFN-β or the IFN-α/β receptor (IFNAR) led to exacerbated EAE (12, 13), and deletion of IFNAR specifically in T regulatory (Treg) cells led to their defective responses, leaving them unable to control effector T cell activation and tissue inflammation (14). Vice versa, expression of IFNAR exclusively in the T cell compartment led to a milder course of EAE, pointing toward immune-modulatory roles of type I IFNs on T lymphocyte activity (15).

Several epidemiological, clinical, and immunological data also point toward a beneficial role of vitamin D in lowering MS risk and disease activity [reviewed in (16)]. In vitro, vitamin D treatment reduced GM-CSF expression (17), and increased the expression of FOXP3 and IL-10 (18, 19), suggesting that vitamin D is involved in restraining T cell responses. The effect of vitamin D on T cell proliferation remains instead somewhat controversial, with reports pointing either toward reduced proliferation (20) or no effect (19). An additional confounding factor when attempting to dissect the exact contribution of each of these treatments to T cell responses, is linked to the fact that IFN-β and vitamin D are often administered to MS patients in combination. Randomized clinical trials in relapsing-remitting MS patients did not report significant immune regulatory effects of high doses of vitamin D in MS patients (2123), although the effect could have been at least partially masked by the concomitant IFN-β treatment. Indeed, whether vitamin D and IFN-β may have additive or synergistic effects remains controversial, with reports both in favor (24) and against (25) this possibility.

Overall, despite many observations pointing toward a crucial role of IFN-β and vitamin D in dampening inflammatory responses in MS, studies investigating a direct effect on T cell functions are often limited to the measurement of selected cytokines, or to the analysis of composite populations such as total peripheral blood mononuclear cells (PBMCs). Moreover, no information is available on the impact of the combined treatment (IFN-β + vitamin D) on gene and microRNA (miRNA) expression and T cell proliferation.

Here, we set out to systematically determine the changes in expression of immune-related genes and miRNAs in primary human T cell subsets treated with IFN-β and vitamin D, either alone or in combination, and we dissected the impact of these treatments on cytokine production and cell proliferation. We found that the treatments primarily modulated memory T cell plasticity, rather than inducing differentiation to a stable subset. Mechanistically, the two treatments differed substantially in their ability to modulate gene expression, with the effect of IFN-β being primarily linked to the induction of IL-10 and other anti-inflammatory genes, but also of IL17 transcripts, while vitamin D had a more complex impact on gene expression. Both treatments also significantly impacted miRNA expression in T cells, most notably of miRNAs involved in the regulation of inflammatory responses and cell proliferation such as miR-155 and miR-150. Similar changes in miRNA and gene expression in response to treatments were observed in T lymphocytes from both healthy donors and MS patients, and also in the CD4+ and CD8+ subsets of T lymphocytes. Overall, our data provide a broad description of transcriptional changes occurring in human T lymphocytes in response to treatments frequently administered to MS patients.

Materials and Methods

Primary Human T Cell Isolation and Culture

Peripheral blood from healthy donors was obtained from the Swiss Blood Donation Center of Basel and Lugano (Switzerland), with informed consent from the Swiss Red Cross and authorization number CE 3428 from the Comitato Etico Canton Ticino. PBMCs were separated by gradient centrifugation (Ficoll-Paque Plus; GE Healthcare), followed by positive selection of CD4+ or CD8+ T lymphocytes using magnetic beads (Miltenyi Biotec). Naive and memory CD4+ T cell subsets were further separated using a FACSaria (BD Bioscience) as follows: naïve: CD4+CD25CD45RA+CCR7+; central memory: CD4+CD25CD45RACCR7+; effector memory: CD4+CD25CD45RACCR7. After magnetic separation, CD8+ T lymphocytes were sorted to exclude CD25+ cells and naïve T cells (CD45RA+CCR7+). The sorted cells were stimulated for 2 days with plate-bound recombinant anti-CD3 (clone TR66) and anti-CD28 (1 μg/ml) antibodies, followed by expansion in RPMI-1640 medium supplemented with 5% human serum, 1% non-essential amino acids, 1%, sodium pyruvate, 1% glutamine, penicillin, streptomycin, and 50 μM β-mercaptoethanol. After 48 h cells were removed from the stimuli and expanded for another 24–72 h without any further addition of cytokines to induce differentiation and/or proliferation. For vitamin D and IFN-β treatments, the culture medium was supplemented with vitamin D (100 nM 1α,25-dihydroxyvitamin D3; Sigma) and/or human IFN-β (2,500 U/ml; PeproTech) during the first plating and activation of the cells (day 0), and the treatments were not removed or re-added afterward. For experiments of T cell plasticity, T cell subsets were separated and treated as described above, except that in one group the culture medium was changed to remove vitamin D and IFN-β after 2 days of anti-CD3 and anti-CD28 stimulation, while in the second group the treatments were added only after the 2 days of stimulation. Analysis of the phenotype (cytokine production) was performed after 24–72h from the removal or addition of stimuli.

Multiple Sclerosis Patients

Peripheral blood from three relapsing-remitting MS patients was obtained with informed consent and with approval of the Cantonal Ethics Committee (number CE TI 2906). All three patients were females between 32 and 43 years of age and not undergoing any treatment at the time of relapse, when peripheral blood was obtained (P1 and P3: treatment naïve; P2: discontinued IFN-β treatment 3 years earlier). Naïve and total memory T lymphocytes (CD4+CD25CD45RACCR7+/–) were separated and treated as described above.

Intracellular Cytokine Staining

CD4+ T cells were stimulated for 5h with PMA (phorbol 12-myristate 13-acetate, 200 nM) and ionomycin (1 µg/ml). For CD8+ T cells, 100 nM PMA and 0.5 µg/ml ionomycin were used. For the last 2.5 h of stimulation, brefeldin A (10 µg/ml) was added to the cells. After fixation (paraformaldehyde, 4%) and permeabilization [0.5% BSA and saponin in Dulbecco’s phosphate-buffered saline (DPBS)], the staining was performed with the directly conjugated anti-cytokine antibodies listed in Supplementary Table 1. For FOXP3 staining, a FOXP3 transcription factor staining kit (Thermo Fisher) was used, following manufacturer’s instructions. All samples were acquired on a Fortessa Flow Cytometer (BD Bioscience) and data was analyzed with FlowJo Software.

Nanostring Sprint Profiling

For gene expression analysis, T cell samples were stimulated for 3 h with PMA and ionomycin prior to RNA extraction. Purified total RNA (50 ng) was hybridized to the nCounter Human Immunology v2 Panel codeset following exactly manufacturer’s instructions and analyzed using the Nanostring nCounter SPRINT profiler. After reads normalization, ratios and p-values were calculated with the nSolver 3.0 software. For miRNA expression analysis, 100 ng of total RNA were used in the Human v3 miRNA Assay. Data was normalized to spiked-in positive controls and to the 25 most highly expressed miRNAs.

Quantitative RT-PCR

Total RNA was extracted using TRI reagent (MRC) and retrotranscribed using either the qScript cDNA SuperMix (Quanta Biosciences) for gene expression, or the TaqMan MicroRNA Reverse Transcription Kit (Applied Biosystems) for miRNA expression. Expression of CSF2, IL10, and MYB mRNAs was measured using the PerfeCTa SYBR Green FastMix (Quanta Bioscience) and the primers listed in Supplementary Table 1. For miRNA expression, the TaqMan probes (Applied Biosystems) listed in Supplementary Table 1 were used. PCR reactions were run on the ABI 79000HT Fast Real-Time PCR System (Applied Biosystems) or a QuantStudio3 Real-Time PCR System (Thermo Fisher).

Cell Proliferation

Cell proliferation was measured using an APC-BrdU Flow Kit from BD Biosciences, following the manufacturer’s instructions. Cells incorporated BrdU for 6 h at 37°C. Alternatively, human T lymphocytes were labeled with carboxyfluorescein succinimidyl ester (CFSE, 5 μM, Thermo Fischer Scientific) for 8 min at 37°C, and the dilution of the dye was recorded daily after cell activation.

Statistical Analysis

Statistical analysis was performed with Prism software (GraphPad). Unless otherwise noted, data are represented as mean ± SD, and significance was determined by paired or unpaired Student’s t test, two-tailed.


Vitamin D and IFN-β Modulate Memory T Cell Plasticity

To investigate the immunomodulatory effects of vitamin D and IFN-β on cytokine production and gene expression, we first assessed the effect of these treatments on GM-CSF and IL-10 expression in different human T cell subpopulations (gating scheme in Supplementary Figure 1A). Naïve (TN), central memory (TCM), and effector memory (TEM) CD4+ cells isolated from peripheral blood of healthy donors were stimulated with plate-bound anti-CD3 and anti-CD28 antibodies and cultured for 5 days in the presence or absence of vitamin D and IFN-β, alone or in combination. Upon stimulation with PMA and ionomycin, both treatments led to diminished GM-CSF and increased IL-10 expression in all CD4+ T cell subsets, with TCM cells being the most responsive to treatment and TN being the most variable and least responsive subset (Figure 1A and Supplementary Figure 1B). This observation suggests that these experimental conditions influence primarily phenotypic plasticity of memory T cells (and especially TCM cells, which retain higher plastic capacity), rather than differentiation of TN cells (26). No cytokine expression was detected in the absence of T cell restimulation with PMA and ionomycin. Vitamin D significantly reduced GM-CSF expression in TCM cells (Figure 1B). IFN-β was also able to reduce expression of GM-CSF, but to a lesser extent compared to vitamin D, and it primarily acted as a strong inducer of IL-10 expression. Interestingly, the combination of the two treatments did not further reduce GM-CSF expression, but enhanced IL-10 production. The effect of the treatments on IFN-γ was more modest, and somewhat reduced expression was observed only with vitamin D (Supplementary Figure 1C). A similar trend was observed also for IL-17 expression, although the percentage of IL-17-expressing cells was overall very small compared to the other cytokines (Supplementary Figure 1C).


Figure 1 Vitamin D and IFN-β treatment modulate the inflammatory phenotype of CD4+ T lymphocytes. (A) Human CD4+TN, TCM, and TEM cells were activated with plate-bound anti-CD3 and anti-CD28 antibodies in the presence or absence of vitamin D and/or IFN-β. Intracellular staining for GM-CSF and IL-10 expression was performed after 5 days of culture using conjugated antibodies (IL-10-bv421, GM-CSF-PerCp-Cy5.5). (B) Compiled results of TCM cells from different donors treated exactly as in a). Both the percentage of positive cells (left) and the mean fluorescence intensity (MFI, right) are shown. Each dot represents one donor (at least n=6). Mean ± SD; unpaired t-test, two-tailed, relative to untreated cells *p < 0.05; **p < 0.01; ***p < 0.001; ****p < 0.0001.

To better investigate the stability of the phenotype induced by the treatments, and to determine how rapidly it was established after stimulation, we activated freshly isolated TCM cells with and without vitamin D and IFN-β and assessed cytokine expression at different time points. We found that a trend toward reduced GM-CSF and increased IL-10 expression was noticeable already after 24h of culture, and became significant between day 2 and day 3 of treatment, pointing toward early effects on the memory T cell phenotype (Figure 2A). Further highlighting a potential effect on memory T cell plasticity, treatment of freshly isolated, resting memory (TCM and TEM) cells for 24h was already sufficient to reduce their ability to produce GM-CSF even in the absence of stimulation (Figure 2B). However, IL-10 production was not induced in cells not stimulated with anti-CD3 and anti-CD28 antibodies. In resting naïve T lymphocytes, the percentage of GM-CSF-producing cells remained low (<1%) in all conditions. These findings point toward a requirement for T cell activation to enhance IL-10 expression upon vitamin D and IFN-β treatment, but not for the loss of GM-CSF production. Next, we assessed the stability of the treatment-induced phenotype by activating the different T cell subsets in the presence of vitamin D and IFN-β for 2 days, followed by removal of the stimuli for 24h. We found that the reduced GM-CSF and increased IL-10 expression was maintained in all subsets even after removal of the stimuli, pointing toward a relative stability of the induced phenotype, at least short-term (Figure 2C). To further explore the effect of vitamin D and IFN-β on phenotype stability vs. T cell plasticity, we treated freshly sorted TCM cells for either the initial 48h of anti-CD3 and anti-CD28 stimulation, followed by removal of the stimuli (P1 condition), or we added the treatments at day 2, followed by 24h or 72h of culture (P2 condition, Figure 2D). We found that the reduction in GM-CSF expression observed after the initial 48h of treatment was maintained even after 24 or 72h of washout (P1 conditions). Interestingly, treatment for 24h after the initial stimulation (P2 condition, day 3) was already sufficient to modulate GM-CSF expression in TCM cells, pointing toward a rapid modulation of memory T cell plasticity. The reduction of GM-CSF expression was however somewhat less affected if the cells were treated after the initial 2 days of stimulation (P2 condition, day 5). After washout of the stimuli (P1 condition), expression of IL-10 was maintained for 24h, but not after 72h of washout, suggesting relatively lower stability of this phenotype compared to GM-CSF expression. Moreover, treatment of the cells after anti-CD3 and anti-CD28 stimulation, did not significantly increase IL-10 expression compared to cells treated during the activation stage (P2 condition, Figure 2D), suggesting that anti-CD3 and anti-CD28 stimulation is required for the enhancement of IL-10 expression mediated by the treatments. Overall, treatment of T cells with vitamin D and IFN-β modulated primarily memory T cell plasticity, leading to rapid and stable reduction in GM-CSF expression even in resting cells. Enhancement of IL-10 expression required instead concomitant TCR stimulation.


Figure 2 Vitamin D and IFN-β modulate memory T cell plasticity. (A) TCM cells were freshly sorted from peripheral blood and were activated with plate-bound anti-CD3 and anti-CD28 antibodies in the presence or absence of vitamin D and IFN-β for the indicated times, followed by intracellular staining for GM-CSF and IL-10 expression. Each dot represents one donor (n=3). Mean ± SD; paired t-test, two-tailed, relative to untreated cells. (B) T cell subsets were freshly sorted from peripheral blood and were cultured for 24h with and without vitamin D and IFN-β prior to intracellular staining. Each dot represents one donor (n=4). Mean ± SD; paired t-test, two-tailed, relative to untreated cells. (C) T cell subsets were freshly sorted from peripheral blood and were activated with plate-bound anti-CD3 and anti-CD28 antibodies in the presence or absence of vitamin D and IFN-β for either three full days or for 2 days followed by a 24h washout. Expression of IL-10 and GM-CSF was measured by intracellular staining. Representative of n=4 donors. (D) Left: schematic representation of the experimental setup: TCM cells were either left untreated or were treated with vitamin D and IFN-β continuously for 3 or 5 days; or were treated for 2 days followed by washout and culture for additional 24–72h (P1 condition); or the treatments were added at day 2 of stimulation for additional 24–72h (P2 condition). Middle and right panels: results of the intracellular staining (ICC, arrows in the schematic representation) at day 3 and day 5. Each dot represents one donor (n=3–4). Mean ± SD; two-way ANOVA. n.s. p > 0.05; *p < 0.05; **p < 0.01; ****p < 0.0001.

Vitamin D and IFN-β Modulate Gene Expression in Human T Cell Subsets

To gain a better understanding of the effect of these two treatments on the expression of other cytokines and immune-related genes, we measured the expression of 570 transcripts by digital Nanostring profiling (Supplementary Data Set 1). We found that vitamin D treatment extensively affected the T cell transcriptional program, primarily by inducing the expression of several transcription factors known to impact T cell functions, such as RUNX1, but also by inducing the expression of immunomodulatory cytokines such as IL10 and IL6 (Figure 3A). The expression of several other cytokines was not significantly altered (Figure 3B). Overall, vitamin D altered the expression of a number of cytokines and factors, but many other inflammatory cytokine genes with potential roles in disease were unaffected. IFN-β treatment significantly induced the expression of a number of genes, including IL10, while very few genes were negatively regulated (Figure 3C and Table 1). Despite the anti-inflammatory factors induced by IFN-β (such as IL-10), this treatment also induced significant expression of both IL17A and IL17F transcripts. Finally, treatment of T cells with both vitamin D and IFN-β led to a combined phenotype, which shared features of both individual treatments, including a significant decrease in CSF2 gene expression (encoding GM-CSF), together with significant upregulation of IL10 expression, while the levels of IL17 transcripts were less affected compared to IFN-β alone (Figure 3B). To better understand how many of the genes induced by vitamin D treatment could be directly regulated by the vitamin D receptor (VDR), we compared the list of genes induced by vitamin D in our dataset with the published list of genes that were bound and regulated by VDR (27). Using a log2FC>1 as threshold, we found an overlap of a few genes among the two datasets, which was largely similar when vitamin D was used alone or in combination with IFN-β (Figure 3D). Among these genes we identified not only IRF8, but also regulators of T cell activation and functionality, such as components of NF-kB signaling (NFKBIA). However, these genes were also induced after IFN-β treatment, pointing toward possible direct and indirect effects on these genes, or regulation mediated by both stimuli. We also searched the literature for STAT1 ChIP-seq data. We intersected our gene expression data with STAT1 ChIP-seq data (28) to search for putative IFN-β -regulated genes under the direct control of STAT1. As expected, we identified a number of IFN-inducible genes, including MX1, IFI35 and IRF7, but also the STAT1 and STAT2 genes themselves, which were slightly upregulated, although post-transcriptional activation and hetero-dimerization with other STAT family members cannot be excluded (29).


Figure 3 Vitamin D and IFN-β regulate the expression of immune transcripts in CD4+ T lymphocytes. (A) TCM cells (2–5 independent donors) were treated for 5 days in the presence or absence of vitamin D and/or IFN-β and the expression of immune-relevant genes was determined by Nanostring profiling. (B) Same as (A), but focusing on the expression of selected cytokines. The asterisk (*) indicates significant values (p<0.05). (C) Venn diagrams showing the extent of overlap between the different treatments. (D) Venn diagram showing the intersection between genes upregulated upon treatment and genes that were described to be bound directly by VDR by ChIP-seq (27).


Table 1 Genes up- or down-regulated by the treatments.

Selected genes from this Nanostring dataset were validated using memory T cells from an independent set of donors. We found that CSF2 expression was significantly reduced by vitamin D, while IFN-β alone was less effective (Figure 4A). IFN-β, alone or in combination with vitamin D, was instead a potent inducer of IL10 expression. The ability of IFN-β to induce IL17A transcription was also confirmed on an independent set of donors, although this did not reflect in an increase in the percentage of cells able to produce IL-17 (Supplementary Figure 1C), suggesting that increased mRNA expression occurs only in the few circulating T lymphocytes that are already capable of secreting IL-17. IL6 transcription was instead strongly increased by vitamin D, validating our Nanostring data and potentially correlating with the fact that the vitamin D receptor (VDR) was shown to directly bind the IL6 locus, at least in DCs (30). Because the treatments also induced the expression of some markers of regulatory T (Treg) cells, such as FOXP3, we compared the expression of this gene in treated and untreated memory T cells, and also in freshly sorted Treg cells. We found that FOXP3 expression in treated memory T cells was overall much lower compared to Treg cells, and only modestly induced at protein level by vitamin D, arguing against any substantial Treg cell expansion or differentiation upon treatment, at least in vitro (Figure 4B).


Figure 4 Modulation of specific immune transcripts in CD4+ and CD8+ T lymphocytes. (A) CD4+ T cells (either TCM or total memory, TMEM) were activated with plate-bound anti-CD3 and anti-CD28 antibodies in the presence or absence of vitamin D and/or IFN-β. Expression of the indicated transcripts (CSF2, IL10, IL17A, and IL6) was determined by qRT-PCR. Each dot represents one donor (at least n=3). Mean ± SD; unpaired t-test, two-tailed, relative to untreated cells. (B) Memory CD4+ T lymphocytes were stimulated and treated with vitamin D and/or IFN-β. At day 5, expression of FOXP3 was determined by intracellular staining. Freshly isolated Treg cells were also used in comparison (representative of n=2 independent experiments). (C) Memory CD8+ T lymphocytes were stimulated and treated with vitamin D and/or IFN-β. After 5 days, the percentage of cells expressing the indicated cytokines was determined by intracellular staining. Each dot represents one donor (n=3). Mean ± SD; paired t-test, two-tailed, relative to untreated cells. (D) CD8+ T lymphocytes treated as in (C) were used to extract RNA and measure IL6 expression by qRT-PCR. Each dot represents one donor (n=3). Mean ± SD. * p < 0.05; **p < 0.01; ***p < 0.001; ****p < 0.0001.

Because CD8+ T lymphocytes are also important players in the pathogenesis of MS (1), we assessed the effect of IFN-β and vitamin D treatments on cytokine expression by memory CD8+ T lymphocytes. Similar to CD4+ cells, GM-CSF expression was significantly reduced in treated CD8+ T cells, although the predominant effect appeared to be linked to IFN-β rather than vitamin D (Figure 4C). Similar to CD4+ T cells, IFN-β treatment (alone or in combination with vitamin D) induced IL-10 expression (Figure 4C), while transcription of the IL6 gene was potently induced by vitamin D (Figure 4D). Overall, our data identified selected inflammatory cytokines and factors that are modulated by IFN-β and vitamin D, alone or in combination, acting directly on memory T lymphocytes.

Vitamin D and IFN-β Modulate Gene Expression in Memory T Lymphocytes From Multiple Sclerosis Patients

To assess the impact of IFN-β and vitamin D treatments on T cells from patients with MS, we separated memory T lymphocytes from three MS patients at the time of relapse. None of the patients was receiving any disease-modifying treatment. By intracellular staining, we found that vitamin D was remarkably effective at reducing GM-CSF and also IFN-γ expression in these CD4+ T cells, while IFN-β was much less efficient (Figures 5A, B). Similar to CD4+ T cells from healthy donors, IFN-β strongly induced IL-10 production. These results were comparable to the effects observed in T cells from healthy donors, suggesting intrinsic similar abilities of these cells to respond to the treatments, at least in vitro. To gain a broader understanding of the ability of MS patient-derived T cells to respond to treatments, we separated memory and naïve T lymphocytes from two MS patients at relapse. Cells were treated with either IFN-β or vitamin D and gene expression profiling was performed by Nanostring (Figure 5C and Supplementary Data Set 1). Overall, we observed responses consistent with those of T cells from healthy donors, namely reduced CSF2 expression upon vitamin D treatment of memory T cells, increased IL10 especially in response to IFN-β, a modest and variable reduction in IFNG expression, increased IL17A transcription in response to IFN-β, and increased IL6 in response to vitamin D (Figure 5C).


Figure 5 Expression of cytokines and immune transcripts in CD4+ T cells from multiple sclerosis (MS) patients. (A) Memory CD4+ T lymphocytes were freshly separated from the peripheral blood of one patient with MS at relapse, activated with plate-bound anti-CD3 and anti-CD28 antibodies and cultured for 5 days with vitamin D or IFN-β. Expression of IL-10 and GM-CSF was determined by intracellular staining. Representative of n=3 independent donors. (B) Cells from three independent MS patients were treated as in (A) and the percentages of GM-CSF, IL-10, and IFN-γ-producing cells was determined by intracellular staining (n=3). (C) Memory T cells obtained from two patients with MS were treated as in (A), except that total RNA was extracted and the expression of ~570 immune-related genes was measured by Nanostring profiling. Results for selected transcripts are shown. The entire list of genes (including also data from naïve T cells from the same patients) can be found in Supplementary Data Set 1 (n=2).

MicroRNA Expression Is Affected by Vitamin D and IFN-β Treatments

MiRNAs regulate all aspects of T cell biology (31) and may mediate at least some of the effects of vitamin D and IFN-β treatment in modulating T cell responses. We therefore used digital counting to measure the expression of ~800 miRNAs in treated and untreated primary human TCM cells (Supplementary Data Set 1). First, we found that a few miRNA species made up most of the miRNA content of T lymphocytes, with miR-142, miR-150, and miR-29b representing together more than 50% of the total miRNA reads, regardless of the treatment (Figure 6A). Next, we analyzed which miRNAs were significantly up- or down-regulated in response to treatments (Figure 6B). We found that vitamin D led to reduced expression of miR-155, a pro-inflammatory miRNA known to promote autoimmune inflammation (32), as well as of miR-29a and miR-23a, which are both known to impact T cell differentiation, proliferation and function (33, 34). Interestingly, miR-146b was modestly upregulated. MiR-146b shares the same “seed” sequence, and therefore the same predicted targets, with miR-146a, a miRNA strongly implicated in restraining inflammatory responses (35). Other upregulated miRNAs included miR-342, miR-30d, miR-26b, and miR-135b, all potentially involved in the regulation of cell proliferation, at least as reported in various, mostly non-immune cellular models (36, 37).


Figure 6 MicroRNA (MiRNA) expression is modulated by vitamin D and IFN-β. (A) TCM cells were treated for 5 days in the presence or absence of vitamin D or IFN-β and miRNA expression was measured by Nanostring profiling (n=3 donors). The percentage of normalized reads for the indicated miRNAs is shown. (B) Differentially expressed miRNAs in the same samples as (A). (C) TCM cells were treated as in a) and the expression of selected miRNAs was measured by qRT-PCR. Each dot represents one donor (n=5). Mean ± SD; paired t-test, two-tailed, relative to untreated cells. (D) CD8+ memory T lymphocytes were activated and treated for 5 days, after which total RNA was extracted and the expression of the indicated miRNAs determined by qRT-PCR. Each dot represents one donor (n=3). Mean ± SD; paired t-test, two-tailed, relative to untreated cells.

Similar to vitamin D, IFN-β reduced levels of miR-155, miR-29a and miR-23a and induced miR-146b and miR-342 expression. IFN-β also modestly induced the expression of miR-222 and miR-150, miRNAs known to regulate cell proliferation (38, 39). To assess the effect of the double vitamin D + IFN-β treatment we measured the expression of a few of the most differentially expressed miRNAs by qRT-PCRs, including miR-342 and miR-155, which were respectively up- or down-regulated by both treatments, and miR-150, which was significantly induced only by IFN-β (Figure 6B). In all cases the effect of the combined treatment was more pronounced compared to either vitamin D or IFN-β alone, although at different extents (Figure 6C). Similar effects on miRNA expression were observed in memory CD8+ T lymphocytes treated with vitamin D and IFN-β (Figure 6D). These differentially expressed miRNAs may therefore significantly contribute to modulate T cell biology in response to individual, and even more so combined, vitamin D and IFN-β treatment.

T Cell Proliferation Is Significantly Affected by the Combined Vitamin D+IFN-β Treatment

Several of the differentially expressed miRNAs upon vitamin D and/or IFN-β treatment have confirmed or putative roles in regulating cell proliferation. By measuring cell proliferation in treated T cells, we found that vitamin D led to a significant reduction in BrdU incorporation and CFSE dilution, which was even more pronounced when the two treatments were applied at the same time, while IFN-β treatment alone had a more variable effect (Figures 7A, B). The suppression of T cell proliferation represents therefore one potential mechanism important to restrain inflammatory responses in treated cells.


Figure 7 Vitamin D and IFN-β affect human T cell proliferation. TCM cells were treated with vitamin D and/or IFN-β, followed by measurement of cell proliferation by (A) BrdU incorporation [each dot represents one donor (n=4), mean ± SD; paired t-test], or (B) CFSE dilution (representative of n=3 independent experiments). (C) Correlation of mean miR-150 and MYB expression (relative to endogenous controls) across the different treatments. Mean ± SD, n=5 independent donors.

Among the miRNAs potentially involved in the regulation of cell proliferation, miR-150 stood out because it is expressed at very high levels in T cells and because it was significantly induced by the combined treatments (Figures 6A–D). One of the established targets of miR-150 is the transcription factor MYB, which is directly involved in the regulation of T cell proliferation (40). MYB mRNA expression was indeed strongly reduced by the combined treatment with vitamin D+IFN-β, and anti-correlated with miR-150 expression. Specifically, we found that the combined treatment led to the highest levels of miR-150 expression, correlating with the lowest expression of MYB, compared to untreated cells, and also to cells that underwent treatment with only vitamin D or IFN-β (Figure 7C). Overall, our data point toward a potential regulatory module of cell proliferation that may be downstream of vitamin D and/or IFN-β signaling.


Here, we found that the treatment of primary human T lymphocytes with IFN-β and vitamin D led to complex transcriptomic changes that influenced primarily the expression of cytokines and miRNAs such as IL-10, GM-CSF, IL-6, miR-155, miR-342, and miR-150, as well as cell proliferation. Although the effects of the two treatments were largely distinguishable, their combined use led to significant synergy in the induction of an anti-inflammatory gene expression profile, characterized by low GM-CSF and miR-155 expression and high IL-10. IFN-β in particular was a potent inducer of IL-10 expression. There is a complex interplay between type I interferon signaling, activation of IRF transcription factors, cytokine expression, and miRNA regulation (41). For instance, IRF factors were shown to regulate directly the expression of the IL10 gene (42), and at least in CD8+ T cells, miR-155 is a negative regulator of interferon signaling components required to induce optimal T cell responses. In particular, miR-155 deletion enhanced interferon signaling, impaired the capacity of T cells to mount primary and secondary responses and limited T cell proliferation (43). Similarly, mice lacking miR-155 showed defective inflammatory CD4+ T cell responses, and were resistant to EAE induction (32). In our study, we observed a significant downregulation of miR-155 expression in both CD8+ and CD4+ T lymphocytes upon treatment with vitamin D and IFN-β, that is therefore likely to contribute to diminished T cell responses. Such an effect would be potentially beneficial for MS patients. Interestingly, we also found that CD274 (PD-L1) is a putative target of miR-155 [as predicted by TargetScan (44)] that was increased in all treated cells (Figure 3A), in which miR-155 was instead downregulated. CD274 is an interferon-regulated gene (45), therefore its increased expression is likely to derive from a combination of increased transcription and reduced miRNA targeting. Because of the crucial importance of PD-1:PD-L1 in the regulation of T cell tolerance and in autoimmune diseases (45), modulation of this pathway may also be beneficial in autoimmunity (46). As for the putative miR-342 and miR-150 targets, no other relevant gene was identified in the intersection of predicted targets with the list of downregulated genes, most likely due to the limited number of genes that were downregulated upon treatment. Interestingly, increased miR-342 expression in Treg cells was recently shown to enhance Treg cell suppressive functions and to attenuate EAE in mice, pointing toward a beneficial role of this miRNA in MS (47).

Whether IRF transcription factors (or VDR) also directly regulate the promoter activity of other affected genes and miRNAs remains to be established. In the mouse, VDR-deficiency specifically in CD4+ T cells was necessary for vitamin D to ameliorate EAE induction (48), pointing toward a direct role VDR engagement in the regulation of CD4+ T cell functions. Interestingly, we recently found that VDR gene expression was associated with high levels of GM-CSF expression in primary human T lymphocytes (49), suggesting that T cells with the highest inflammatory potential may also be the ones that are more likely to be regulated by vitamin D, a further mechanism of T cell modulation that could be beneficial in autoimmunity. Finally, a genome-wide analysis of VDR binding sites identified the IRF8 locus as directly bound by this transcription factor, which may further contribute to the combined effect of vitamin D and IFN-β treatment on gene expression (27). As for the differential miRNA expression, none of the identified miRNAs target directly cytokine genes, and they are therefore likely to influence the general inflammatory potential of T lymphocytes, for instance by regulating NF-kB activation (e.g., miR-146 family members) or cell proliferation (e.g., miR-150 and miR-155).

While we focused primarily on the responses of CD4+ T helper lymphocytes, it is becoming increasingly clear that also CD8+ T cells and other immune cell types, such as B lymphocytes and innate immune cells, play a key role in the development or severity of MS (1, 6). Though we described some of the direct effects exerted by IFN-β and vitamin D treatments on gene and miRNA expression in CD4+ and CD8+ T lymphocytes, other direct and indirect effects may undoubtedly affect lymphocytes’ responses in vivo. Indeed, both IFN-β and vitamin D have widespread effects on a number of cell types and systems. For example, IFN-β treatment of DCs led to reduced TH17 polarization in vitro (50), suggesting that in vivo the final outcome on the T cell phenotype following IFN-β treatment depends on both direct effects on T cells and indirect effects on other cell types, including reduced expression of DC-derived cytokines that regulate CD4+ T cell differentiation (9, 10). Moreover, the IFN-α/β receptor (IFNAR) is ubiquitously and constitutively expressed (51). Indeed, while our study revealed a direct anti-inflammatory effect of IFN-β on memory T lymphocytes, mice broadly devoid of IFNAR developed exacerbated EAE, linked most prominently to dysregulated myeloid cell functions (12). The interplay of direct and indirect effects in the case of vitamin D is also complex, since virtually all immune cells express the VDR, and many immune cell types, including T lymphocytes, can convert vitamin D into its active form (52).

Inflammatory cytokines are important factors in deciding the fate of activated naive cells. In particular, cytokines such as IL-6 and IL-1β, in combination with TGF-β, may lead to enhanced differentiation toward the pathogenic TH17 subset (53). In this regard, the increased IL-6 production observed with vitamin D treatment may also influence T cell differentiation to a phenotype that would be undesired in the context of autoimmunity. For instance, levels of both IL-17 and IL-6 were shown to positively correlate with neurological disabilities in MS patients (18), and blockade of IL-6-dependent pathways using an anti-IL-6 receptor antibody limited the development of EAE in mouse models, most likely by counteracting the differentiation and expansion of pathogenic TH17 cells while promoting Treg cell responses (54, 55). The composite effect of vitamin D on T lymphocytes, namely its ability to downmodulate pro-inflammatory cytokines such as GM-CSF, while at the same time inducing IL-6 expression, may complicate our understanding of its mechanism of action in vivo, and may at least in part contribute to the limited effect observed in clinical trials using high doses of vitamin D. These observations warrant additional studies to fully understand the role of vitamin D and T cell-derived IL-6 in chronic inflammatory diseases.

Data Availability Statement

The datasets presented in this study can be found in the Supplementary Material for this article.

Ethics Statement

The studies involving human participants were reviewed and approved by Comitato Etico Canton Ticino, authorization number CE 3428 and CE TI 2906. The patients/participants provided their written informed consent to participate in this study.

Author Contributions

NB and SE designed and performed experiments, analyzed data, and wrote the manuscript. CZ provided MS patients’ samples and wrote the manuscript. SM overviewed the study, analyzed data, and wrote the manuscript. All authors contributed to the article and approved the submitted version.


This work was funded by the NCCR “RNA & Disease”, the Swiss MS Society, the Vontobel-Stiftung, the Ceresio Foundation and the Swiss National Science Foundation (grant number 175569), all to SM.

Conflict of Interest

CZ received honoraria for speaking, consulting fees, or research grants from Abbvie, Almirall, Biogen Idec, Bayer, Celgene, Genzyme, Merck Serono, Novartis, Teva Pharma, Roche.

The remaining 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.


The authors would like to thank Michele Chirichella for help with all experiments related to miR-150, and David Jarrossay for technical input.

Supplementary Material

The Supplementary Material for this article can be found online at:


1. Wagner CA, Roque PJ, Goverman JM. Pathogenic T cell cytokines in multiple sclerosis. J Exp Med (2020) 217(1):e20190460. doi: 10.1084/jem.20190460

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Campbell IK, Rich MJ, Bischof RJ, Dunn AR, Grail D, Hamilton JA. Protection from collagen-induced arthritis in granulocyte-macrophage colony-stimulating factor-deficient mice. J Immunol (1998) 161(7):3639–44.

PubMed Abstract | Google Scholar

3. Codarri L, Gyulveszi G, Tosevski V, Hesske L, Fontana A, Magnenat L, et al. RORgammat drives production of the cytokine GM-CSF in helper T cells, which is essential for the effector phase of autoimmune neuroinflammation. Nat Immunol (2011) 12(6):560–7. doi: 10.1038/ni.2027

PubMed Abstract | CrossRef Full Text | Google Scholar

4. McQualter JL, Darwiche R, Ewing C, Onuki M, Kay TW, Hamilton JA, et al. Granulocyte macrophage colony-stimulating factor: a new putative therapeutic target in multiple sclerosis. J Exp Med (2001) 194(7):873–82. doi: 10.1084/jem.194.7.873

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Sonderegger I, Iezzi G, Maier R, Schmitz N, Kurrer M, Kopf M. GM-CSF mediates autoimmunity by enhancing IL-6-dependent Th17 cell development and survival. J Exp Med (2008) 205(10):2281–94. doi: 10.1084/jem.20071119

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Becher B, Spath S, Goverman J. Cytokine networks in neuroinflammation. Nat Rev Immunol (2017) 17(1):49–59. doi: 10.1038/nri.2016.123

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Durelli L, Conti L, Clerico M, Boselli D, Contessa G, Ripellino P, et al. T-helper 17 cells expand in multiple sclerosis and are inhibited by interferon-beta. Ann Neurol (2009) 65(5):499–509. doi: 10.1002/ana.21652

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Tao Y, Zhang X, Chopra M, Kim MJ, Buch KR, Kong D, et al. The role of endogenous IFN-beta in the regulation of Th17 responses in patients with relapsing-remitting multiple sclerosis. J Immunol (2014) 192(12):5610–7. doi: 10.4049/jimmunol.1302580

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Ramgolam VS, Sha Y, Jin J, Zhang X, Markovic-Plese S. IFN-beta inhibits human Th17 cell differentiation. J Immunol (2009) 183(8):5418–27. doi: 10.4049/jimmunol.0803227

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Sweeney CM, Lonergan R, Basdeo SA, Kinsella K, Dungan LS, Higgins SC, et al. IL-27 mediates the response to IFN-beta therapy in multiple sclerosis patients by inhibiting Th17 cells. Brain Behav Immun (2011) 25(6):1170–81. doi: 10.1016/j.bbi.2011.03.007

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Rasouli J, Ciric B, Imitola J, Gonnella P, Hwang D, Mahajan K, et al. Expression of GM-CSF in T Cells Is Increased in Multiple Sclerosis and Suppressed by IFN-beta Therapy. J Immunol (2015) 194(11):5085–93. doi: 10.4049/jimmunol.1403243

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Prinz M, Schmidt H, Mildner A, Knobeloch KP, Hanisch UK, Raasch J, et al. Distinct and nonredundant in vivo functions of IFNAR on myeloid cells limit autoimmunity in the central nervous system. Immunity (2008) 28(5):675–86. doi: 10.1016/j.immuni.2008.03.011

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Teige I, Treschow A, Teige A, Mattsson R, Navikas V, Leanderson T, et al. IFN-beta gene deletion leads to augmented and chronic demyelinating experimental autoimmune encephalomyelitis. J Immunol (2003) 170(9):4776–84. doi: 10.4049/jimmunol.170.9.4776

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Metidji A, Rieder SA, Glass DD, Cremer I, Punkosdy GA, Shevach EM. IFN-alpha/beta receptor signaling promotes regulatory T cell development and function under stress conditions. J Immunol (2015) 194(9):4265–76. doi: 10.4049/jimmunol.1500036

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Kavrochorianou N, Evangelidou M, Markogiannaki M, Tovey M, Thyphronitis G, Haralambous S. IFNAR signaling directly modulates T lymphocyte activity, resulting in milder experimental autoimmune encephalomyelitis development. J Leukoc Biol (2016) 99(1):175–88. doi: 10.1189/jlb.3A1214-598R

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Sintzel MB, Rametta M, Reder AT, Vitamin D. and Multiple Sclerosis: A Comprehensive Review. Neurol Ther (2018) 7(1):59–85. doi: 10.1007/s40120-017-0086-4

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Peelen E, Muris AH, Damoiseaux J, Knippenberg S, Broens K, Smolders J, et al. GM-CSF production by CD4+ T cells in MS patients: regulation by regulatory T cells and vitamin D. J Neuroimmunol (2015) 280:36–42. doi: 10.1016/j.jneuroim.2015.02.007

PubMed Abstract | CrossRef Full Text | Google Scholar

18. da Costa DS, Hygino J, Ferreira TB, Kasahara TM, Barros PO, Monteiro C, et al. Vitamin D modulates different IL-17-secreting T cell subsets in multiple sclerosis patients. J Neuroimmunol (2016) 299:8–18. doi: 10.1016/j.jneuroim.2016.08.005

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Jeffery LE, Burke F, Mura M, Zheng Y, Qureshi OS, Hewison M, et al. 1,25-Dihydroxyvitamin D3 and IL-2 combine to inhibit T cell production of inflammatory cytokines and promote development of regulatory T cells expressing CTLA-4 and FoxP3. J Immunol (2009) 183(9):5458–67. doi: 10.4049/jimmunol.0803217

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Lemire JM, Adams JS, Kermani-Arab V, Bakke AC, Sakai R, Jordan SC. 1,25-Dihydroxyvitamin D3 suppresses human T helper/inducer lymphocyte activity in vitro. J Immunol (1985) 134(5):3032–5.

PubMed Abstract | Google Scholar

21. Muris AH, Smolders J, Rolf L, Thewissen M, Hupperts R, Damoiseaux J, et al. Immune regulatory effects of high dose vitamin D3 supplementation in a randomized controlled trial in relapsing remitting multiple sclerosis patients receiving IFNbeta; the SOLARIUM study. J Neuroimmunol (2016) 300:47–56. doi: 10.1016/j.jneuroim.2016.09.018

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Camu W, Lehert P, Pierrot-Deseilligny C, Hautecoeur P, Besserve A, Jean Deleglise AS, et al. Cholecalciferol in relapsing-remitting MS: A randomized clinical trial (CHOLINE). Neurol Neuroimmunol Neuroinflamm (2019) 6(5):e597. doi: 10.1212/NXI.0000000000000597

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Hupperts R, Smolders J, Vieth R, Holmoy T, Marhardt K, Schluep M, et al. Randomized trial of daily high-dose vitamin D3 in patients with RRMS receiving subcutaneous interferon beta-1a. Neurology (2019) 93(20):e1906–16. doi: 10.1212/WNL.0000000000008445

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Stewart N, Simpson S, van der Mei I, Ponsonby AL, Blizzard L, Dwyer T, et al. Interferon-beta and serum 25-hydroxyvitamin D interact to modulate relapse risk in MS. Neurology (2012) 79(3):254–60. doi: 10.1212/WNL.0b013e31825fded9

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Rosjo E, Myhr KM, Loken-Amsrud KI, Bakke SJ, Beiske AG, Bjerve KS, et al. Vitamin D status and effect of interferon-beta1a treatment on MRI activity and serum inflammation markers in relapsing-remitting multiple sclerosis. J Neuroimmunol (2015) 280:21–8. doi: 10.1016/j.jneuroim.2015.02.001

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Messi M, Giacchetto I, Nagata K, Lanzavecchia A, Natoli G, Sallusto F. Memory and flexibility of cytokine gene expression as separable properties of human T(H)1 and T(H)2 lymphocytes. Nat Immunol (2003) 4(1):78–86. doi: 10.1038/ni872

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Ramagopalan SV, Heger A, Berlanga AJ, Maugeri NJ, Lincoln MR, Burrell A, et al. A ChIP-seq defined genome-wide map of vitamin D receptor binding: associations with disease and evolution. Genome Res (2010) 20(10):1352–60. doi: 10.1101/gr.107920.110

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Satoh J, Tabunoki H. A Comprehensive Profile of ChIP-Seq-Based STAT1 Target Genes Suggests the Complexity of STAT1-Mediated Gene Regulatory Mechanisms. Gene Regul Syst Bio (2013) 7:41–56. doi: 10.4137/GRSB.S11433

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Delgoffe GM, Vignali DA. STAT heterodimers in immunity: A mixed message or a unique signal? JAKSTAT (2013) 2(1):e23060. doi: 10.4161/jkst.23060

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Català-Moll F, Li T, Ciudad L, Rodríguez-Ubreva J, Ballestar E. Vitamin D receptor and STAT3 cooperate to establish TET2-mediated tolerogenesis. bioRxiv (2020) 2020.02.28.969634. doi: 10.1101/2020.02.28.969634

CrossRef Full Text | Google Scholar

31. Monticelli S. MicroRNAs in T helper cell differentiation and plasticity. Semin Immunol (2013) 25(4):291–8. doi: 10.1016/j.smim.2013.10.015

PubMed Abstract | CrossRef Full Text | Google Scholar

32. O’Connell RM, Kahn D, Gibson WS, Round JL, Scholz RL, Chaudhuri AA, et al. MicroRNA-155 promotes autoimmune inflammation by enhancing inflammatory T cell development. Immunity (2010) 33(4):607–19. doi: 10.1016/j.immuni.2010.09.009

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Steiner DF, Thomas MF, Hu JK, Yang Z, Babiarz JE, Allen CD, et al. MicroRNA-29 regulates T-box transcription factors and interferon-gamma production in helper T cells. Immunity (2011) 35(2):169–81. doi: 10.1016/j.immuni.2011.07.009

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Cho S, Wu CJ, Yasuda T, Cruz LO, Khan AA, Lin LL, et al. miR-23~27~24 clusters control effector T cell differentiation and function. J Exp Med (2016) 213(2):235–49. doi: 10.1084/jem.20150990

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Yang L, Boldin MP, Yu Y, Liu CS, Ea CK, Ramakrishnan P, et al. miR-146a controls the resolution of T cell responses in mice. J Exp Med (2012) 209(9):1655–70. doi: 10.1084/jem.20112218

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Tai MC, Kajino T, Nakatochi M, Arima C, Shimada Y, Suzuki M, et al. miR-342-3p regulates MYC transcriptional activity via direct repression of E2F1 in human lung cancer. Carcinogenesis (2015) 36(12):1464–73. doi: 10.1093/carcin/bgv152

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Peck BC, Sincavage J, Feinstein S, Mah AT, Simmons JG, Lund PK, et al. miR-30 Family Controls Proliferation and Differentiation of Intestinal Epithelial Cell Models by Directing a Broad Gene Expression Program That Includes SOX9 and the Ubiquitin Ligase Pathway. J Biol Chem (2016) 291(31):15975–84. doi: 10.1074/jbc.M116.733733

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Chen Z, Stelekati E, Kurachi M, Yu S, Cai Z, Manne S, et al. miR-150 Regulates Memory CD8 T Cell Differentiation via c-Myb. Cell Rep (2017) 20(11):2584–97. doi: 10.1016/j.celrep.2017.08.060

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Felicetti F, Errico MC, Bottero L, Segnalini P, Stoppacciaro A, Biffoni M, et al. The promyelocytic leukemia zinc finger-microRNA-221/-222 pathway controls melanoma progression through multiple oncogenic mechanisms. Cancer Res (2008) 68(8):2745–54. doi: 10.1158/0008-5472.CAN-07-2538

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Dias S, D’Amico A, Cretney E, Liao Y, Tellier J, Bruggeman C, et al. Effector Regulatory T Cell Differentiation and Immune Homeostasis Depend on the Transcription Factor Myb. Immunity (2017) 46(1):78–91. doi: 10.1016/j.immuni.2016.12.017

PubMed Abstract | CrossRef Full Text | Google Scholar

41. Ivashkiv LB, Donlin LT. Regulation of type I interferon responses. Nat Rev Immunol (2014) 14(1):36–49. doi: 10.1038/nri3581

PubMed Abstract | CrossRef Full Text | Google Scholar

42. Lee CG, Hwang W, Maeng KE, Kwon HK, So JS, Sahoo A, et al. IRF4 regulates IL-10 gene expression in CD4(+) T cells through differential nuclear translocation. Cell Immunol (2011) 268(2):97–104. doi: 10.1016/j.cellimm.2011.02.008

PubMed Abstract | CrossRef Full Text | Google Scholar

43. Gracias DT, Stelekati E, Hope JL, Boesteanu AC, Doering TA, Norton J, et al. The microRNA miR-155 controls CD8(+) T cell responses by regulating interferon signaling. Nat Immunol (2013) 14(6):593–602. doi: 10.1038/ni.2576

PubMed Abstract | CrossRef Full Text | Google Scholar

44. Lewis BP, Burge CB, Bartel DP. Conserved seed pairing, often flanked by adenosines, indicates that thousands of human genes are microRNA targets. Cell (2005) 120(1):15–20. doi: 10.1016/j.cell.2004.12.035

PubMed Abstract | CrossRef Full Text | Google Scholar

45. Francisco LM, Sage PT, Sharpe AH. The PD-1 pathway in tolerance and autoimmunity. Immunol Rev (2010) 236:219–42. doi: 10.1111/j.1600-065X.2010.00923.x

PubMed Abstract | CrossRef Full Text | Google Scholar

46. Carter LL, Leach MW, Azoitei ML, Cui J, Pelker JW, Jussif J, et al. PD-1/PD-L1, but not PD-1/PD-L2, interactions regulate the severity of experimental autoimmune encephalomyelitis. J Neuroimmunol (2007) 182(1-2):124–34. doi: 10.1016/j.jneuroim.2006.10.006

PubMed Abstract | CrossRef Full Text | Google Scholar

47. Kim D, Nguyen QT, Lee J, Lee SH, Janocha A, Kim S, et al. Anti-inflammatory Roles of Glucocorticoids Are Mediated by Foxp3(+) Regulatory T Cells via a miR-342-Dependent Mechanism. Immunity (2020) 53(3):581–96. doi: 10.1016/j.immuni.2020.07.002

PubMed Abstract | CrossRef Full Text | Google Scholar

48. Mayne CG, Spanier JA, Relland LM, Williams CB, Hayes CE. 1,25-Dihydroxyvitamin D3 acts directly on the T lymphocyte vitamin D receptor to inhibit experimental autoimmune encephalomyelitis. Eur J Immunol (2011) 41(3):822–32. doi: 10.1002/eji.201040632

PubMed Abstract | CrossRef Full Text | Google Scholar

49. Emming S, Bianchi N, Polletti S, Balestrieri C, Leoni C, Montagner S, et al. A molecular network regulating the proinflammatory phenotype of human memory T lymphocytes. Nat Immunol (2020) 21(4):388–99. doi: 10.1038/s41590-020-0622-8

PubMed Abstract | CrossRef Full Text | Google Scholar

50. Zhang X, Jin J, Tang Y, Speer D, Sujkowska D, Markovic-Plese S. IFN-beta1a inhibits the secretion of Th17-polarizing cytokines in human dendritic cells via TLR7 up-regulation. J Immunol (2009) 182(6):3928–36. doi: 10.4049/jimmunol.0802226

PubMed Abstract | CrossRef Full Text | Google Scholar

51. Huber JP, Farrar JD. Regulation of effector and memory T-cell functions by type I interferon. Immunology (2011) 132(4):466–74. doi: 10.1111/j.1365-2567.2011.03412.x

PubMed Abstract | CrossRef Full Text | Google Scholar

52. Dankers W, Colin EM, van Hamburg JP, Lubberts E. Vitamin D in Autoimmunity: Molecular Mechanisms and Therapeutic Potential. Front Immunol (2016) 7:697. doi: 10.3389/fimmu.2016.00697

PubMed Abstract | CrossRef Full Text | Google Scholar

53. Mazzoni A, Maggi L, Liotta F, Cosmi L, Annunziato F. Biological and clinical significance of T helper 17 cell plasticity. Immunology (2019) 158(4):287–95. doi: 10.1111/imm.13124

PubMed Abstract | CrossRef Full Text | Google Scholar

54. Serada S, Fujimoto M, Mihara M, Koike N, Ohsugi Y, Nomura S, et al. IL-6 blockade inhibits the induction of myelin antigen-specific Th17 cells and Th1 cells in experimental autoimmune encephalomyelitis. Proc Natl Acad Sci USA (2008) 105(26):9041–6. doi: 10.1073/pnas.0802218105

PubMed Abstract | CrossRef Full Text | Google Scholar

55. Korn T, Mitsdoerffer M, Croxford AL, Awasthi A, Dardalhon VA, Galileos G, et al. IL-6 controls Th17 immunity in vivo by inhibiting the conversion of conventional T cells into Foxp3+ regulatory T cells. Proc Natl Acad Sci USA (2008) 105(47):18460–5. doi: 10.1073/pnas.0809850105

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: human T lymphocytes, vitamin D, IFN-β, gene expression, microRNAs, plasticity

Citation: Bianchi N, Emming S, Zecca C and Monticelli S (2020) Vitamin D and IFN-β Modulate the Inflammatory Gene Expression Program of Primary Human T Lymphocytes. Front. Immunol. 11:566781. doi: 10.3389/fimmu.2020.566781

Received: 28 May 2020; Accepted: 03 November 2020;
Published: 04 December 2020.

Edited by:

Wanjun Chen, National Institutes of Health (NIH), United States

Reviewed by:

Alejandro Venerando Villarino, University of Miami, United States
Guido Sebastiani, University of Siena, Italy

Copyright © 2020 Bianchi, Emming, Zecca and Monticelli. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Silvia Monticelli,

These authors have contributed equally to this work