Literature DB >> 32514324

Roles of cytotoxic lymphocytes and MIC/LILR families in pathophysiology of Takayasu arteritis.

Hajime Yoshifuji1, Chikashi Terao2,3,4.   

Abstract

Takayasu arteritis (TAK) affects the aorta and its primary branches, mainly in young women. In its advanced stages, it can cause severe complications, such as cerebral infarction, impaired vision, and valvular heart diseases. In the aortic tissue of TAK, there is increased infiltration of cytotoxic lymphocytes, such as natural killer (NK) cells and CD8+T cells, and enhanced expression of accessory molecules, such as major histocompatibility complex (MHC) and MHC class I chain-related gene (MIC) family. Genome-wide association studies on TAK have identified susceptibility genes, such as IL-12p40, MICA, MICB, leukocyte immunoglobulin-like receptor A3 (LILRA3), and LILRB3. Other studies have also shown their involvement in the pathophysiology of TAK. In addition, we reported the importance of NK cells by enhancer enrichment analysis. These results suggest that the gene polymorphisms that potentially upregulate the expression of cytokines and accessory molecules, which contribute to the activation of cytotoxic lymphocytes, are associated with the development of TAK. Based on these results, new molecular targeted therapies look promising.
© The Author(s) 2020.

Entities:  

Keywords:  Cytotoxic T cell; Genome-wide association study; Interleukin-12; Interleukin-6; MICA; Natural killer cell; Vasculitis

Year:  2020        PMID: 32514324      PMCID: PMC7265636          DOI: 10.1186/s41232-020-00119-6

Source DB:  PubMed          Journal:  Inflamm Regen        ISSN: 1880-8190


Background

Takayasu arteritis (TAK) is a rare disease belonging to the vasculitis syndrome that frequently occurs in young women [1]. Although glucocorticoids and immunosuppressants are standard treatments, the disease often relapses. In its advanced stages, serious complications such as cerebral ischemia, visual loss, and aortic aneurysms may occur. Elucidation of disease mechanisms is needed to develop new effective treatments. The physiological role of cytotoxic lymphocytes, such as CD8+T cells and natural killer (NK) cells, is to eliminate the cells affected by malignancy or intracellular microorganisms. They are regulated by accessory molecules, such as major histocompatibility complex (MHC), MHC class I chain-related gene (MIC) family, and leukocyte immunoglobulin-like receptor (LILR) family. In this review, the roles of cytotoxic lymphocytes and accessory molecules in the pathogenesis of TAK are discussed.

Main text

Pathophysiology of TAK

In the pathophysiology of TAK, the aorta and its primary branches are inflamed, causing stenosis of the arterial lumen, which leads to ischemia of downstream organs [1, 2]. Occasionally, the arterial lumen is dilated, causing aortic regurgitation and aneurysms. Histologically, the layers of an arterial wall consist of the adventitia, media, and intima (Fig. 1a) [2]. In particular, large arteries have thick media with rich elastic fibers. In the early stage of TAK, inflammatory cells infiltrate the adventitia [2]. Gradually, granulomas are formed adjacent to the media with monocytes, lymphocytes, neutrophils, epithelioid cells, and giant cells [3], causing the erosion of the media from the outside. In response to medial destruction, intimal thickening occurs and leads to stenosis of the arterial lumen.
Fig. 1

a A pathological schema of the aorta affected by TAK. b Pathophysiology of aortic lesions

a A pathological schema of the aorta affected by TAK. b Pathophysiology of aortic lesions In the aortic tissue of TAK (Fig. 1b), Seko et al. [4, 5] reported increased infiltration of NK cells, γδT cells, and CD8+T cells, and enhanced expression of accessory molecules, such as MHC, MICA, and natural killer group 2 member D (NKG2D), and suggested their involvement in the pathophysiology of TAK. Genome-wide association studies (GWAS) have been conducted to search for genes susceptible to TAK [6-9] (Table 1). Human leukocyte antigen (HLA)-B has been shown to have the strongest association. This is consistent with the classically reported association of HLA-B52 with TAK [10]. Because HLA-B52 belongs to MHC class I, the results support the involvement of CD8+T cells in the pathophysiology of TAK. Nevertheless, there remains a possibility that the association of HLA-B is not authentic, as described below.
Table 1

Gene regions associated with TAK

Author, yearGene region
Terao, 2013 [6]IL12B, HLA-B, MLX
Saruhan-Direskeneli, 2013 [7]FCGR2A/FCGR3A, IL12B, HLA-B/MICA, HLA-DQB1/HLA-DRB1
Renauer, 2015 [8]HLA-B/MICA, IL6, RPS9/LILRB3, chr21q22
Terao, 2018 [9]FCGR3A, IL12B, DUSP22, HLA-B, PTK2B, KLHL33, LILRA3, chr21q22
Gene regions associated with TAK

Involvement of IL-12p40

Single nucleotide polymorphisms (SNPs) in the IL12B gene region have been found in GWAS using two separate cohorts [6, 7]. Hence, the involvement of this genetic region in the pathogenesis of TAK is highly probable. IL12B encodes p40, a subunit shared by IL-12 and IL-23 (Fig. 2) [2]. IL-12 and IL-23 are essential factors for the differentiation and maintenance of T helper-1 (Th1) and T helper-17 (Th17) cells, respectively. Th1 can activate cytotoxic lymphocytes, suggesting the contribution of these SNPs to the development of TAK.
Fig. 2

Cytokines in the pathophysiology of TAK

Cytokines in the pathophysiology of TAK Classically, genetic mutations have been located in the coding regions of the genome and affect the structure of proteins. However, most SNPs found by GWAS are located in the non-coding regions and probably affect the expression level and splicing of mRNA [11]. Genetic factors that affect the expression levels of mRNA are called “expression quantitative trait loci (eQTL).” We hypothesized that the IL12B SNP (rs6871626) located in a non-coding region has an eQTL effect on IL12B gene expression. We showed that p40 is more highly expressed in patients with the risk allele of the SNP [12]. Moreover, the risk allele was significantly associated with patients’ clinical features, such as complication of aortic regurgitation [6], inflammatory marker levels [6], and refractory courses [13]. Hence, p40 appears to be pivotal in the pathophysiology of TAK. We performed a pilot study using anti-p40 monoclonal antibodies (ustekinumab) for three refractory TAK patients who showed improvement of symptoms and decrease in inflammatory markers [14].

Enhancer enrichment analysis

Two study groups have performed enhancer enrichment analyses to examine which cell types play important roles in the pathophysiology of TAK (Table 2) [9, 15]. This method searches for cell types that have “enriched” transcription sites genetically linked to a certain disease, using several open datasets (Fig. 3). A comparison of results showed that NK cells were the highest in our study and the third in the study by Sawalha et al., suggesting the importance of NK cells in the pathophysiology of TAK. Nevertheless, B cells were also at a high position in both studies.
Table 2

Enhancer enrichment analyses of TAK

CellsP
Terao, 2018 [9]
 Natural killer cells0.000088
 T CD8+ memory cells0.00079
 T helper naïve cells0.00096
 B cells from cord blood0.00098
 Neutrophils0.0013
 T CD8+ naïve cells0.0013
 T cells0.0021
 Mononuclear cells0.0036
 Monocytes0.0039
 T regulatory cells0.01
Sawalha, 2016 [15]
 B cells from peripheral blood0.00193
 Monocytes from peripheral blood0.00787
 Natural killer cells from peripheral blood0.00802
 T cells from peripheral blood0.0134
 Hematopoietic stem cells G-CSF-mobilized (female)N.S.
 Hematopoietic stem cells G-CSF-mobilized (male)N.S.
 T cells from cord bloodN.S.

All cells are primary cells

Fig. 3

Enhancer enrichment analysis searches for cell types that have “enriched” transcription sites genetically linked to a certain disease. Dataset 1: Associations between a disease and SNPs (GWAS). Dataset 2: Overlap between transcription sites. Dataset 3: Active transcription sites in each cell type

Enhancer enrichment analyses of TAK All cells are primary cells Enhancer enrichment analysis searches for cell types that have “enriched” transcription sites genetically linked to a certain disease. Dataset 1: Associations between a disease and SNPs (GWAS). Dataset 2: Overlap between transcription sites. Dataset 3: Active transcription sites in each cell type

Involvement of LILR/MIC families

Table 1 includes LILRA3 and LILRB3 genes, which belong to the LILR family expressed on various leukocytes. LILRA1 to A6 (except for LILRA3) have immunoreceptor tyrosine-based activation motifs (ITAM) and transmit activation signals into leukocytes, whereas LILRB1 to B5 have immunoreceptor tyrosine-based inhibitory motifs (ITIM) and transmit inhibitory signals. As shown in Fig. 4, it is considered that LILIRB1 recognizes the self MHC, avoiding leukocytes from self-attack. Some malignant cells do not express MHC to escape from CD8+T cells, but NK cells can attack them.
Fig. 4

Recognition of normal (a), malignant (b), and infected cells (c) by NK cells

Recognition of normal (a), malignant (b), and infected cells (c) by NK cells Renauer et al. [8] found a SNP in the RPS9/LILRB3 region and demonstrated its negative eQTL effect on LILRB3 gene expression. As the SNP has a negative effect on the inhibitory receptor, it might contribute to the development of TAK. Next, we identified SNPs in LILIRA3 region and found that the lead SNP in LILIRA3 region tagged the deletion of LILRA3 and demonstrated its strong negative eQTL association with LILRA3 gene expression [9]. This finding is in contrast to the results of Renauer et al. because it has a negative effect on the activation receptor. However, among most LILRAs that have ITAMs, only LILRA3 lacks its intracellular domain. LILRA3 is considered a secretory molecule and probably a decoy. Thus, our results might not necessarily contradict their results. The association of HLA-B52 with TAK has been reported since 1978 [10]. However, the SNP discovered by Saruhan-Direskeneli et al. is located in a region between HLA-B and MICA (Table 1). The MIC family (MICA and MICB) is expressed by the infected cells and recognized by NKG2D on the surface of the killer cells (Fig. 4c) so that the killer cells can attack them. We found a novel SNP in the MICB region, which showed a strong linkage disequilibrium with HLA-B52 (P = 3.9 × 10−30) [9]. Interestingly, the SNP showed a positive eQTL effect on MICB gene expression. This suggests that this SNP contributes to the vasculitic condition through the upregulation of MICB on blood vessels and stimulation of killer cells. Moreover, the association of the SNP in the MICB region substantially remained after conditioning on HLA-B52 (P = 4.0 × 10−7), but the association of HLA-B52 was no longer significant after conditioning on the SNP (P = 0.17). Considering these findings, the MIC family may be more involved in the pathophysiology of TAK than HLA-B52.

New therapies for TAK

As described above, our pilot p40 inhibition therapy for TAK showed favorable results. Secondly, IL-6 (its gene is also listed in Table 2) is essential for Th17 induction and plays an important role in inflammatory conditions (Fig. 2). A randomized controlled study using monoclonal antibodies against the IL-6 receptor (tocilizumab) has shown favorable effects for TAK [16]. Additionally, TNF-α is secreted from helper T cells and macrophages and plays an important role in inflammatory conditions (Fig. 2). Many case series have suggested the efficacy of TNF inhibitors for refractory TAK cases [17]. Future detailed studies in these three avenues (p40, IL-6, and TNF) may lead to promising results that may help develop treatment options.

Significance of autoantibodies

Clement et al. [3] found tertiary lymphoid tissues in the aortic adventitia of TAK (Fig. 1a). These tissues form a germinal center with follicular dendritic cells surrounded by B cells, suggesting the development of antigen-specific B cells. Mutoh et al. [18] found anti-endothelial protein C receptor antibodies and anti-scavenger receptor class B type 1 antibodies in the serum of TAK patients (when combined, sensitivity 67.3% and specificity 98.0%) and showed that they might contribute to the activation of endothelial cells and the promotion of Th17. These findings may be in conflict with our work on cytotoxic immunity. The relationship between autoantibody-related pathophysiology and cytotoxic immunity-related pathogenesis needs to be studied in detail.

Conclusions

In conclusion, gene polymorphisms that potentially enhance the expression of cytokines and accessory molecules that contribute to the activation of cytotoxic lymphocytes are associated with the development of TAK. There have been an increasing number of studies reporting the efficacies of cytokine inhibition therapies for refractory TAK. These results can lead to the development of new molecular targeted therapies.
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1.  Ustekinumab as a therapeutic option for Takayasu arteritis: from genetic findings to clinical application.

Authors:  C Terao; H Yoshifuji; T Nakajima; N Yukawa; F Matsuda; T Mimori
Journal:  Scand J Rheumatol       Date:  2015-08-31       Impact factor: 3.641

2.  Epigenomic functional characterization of genetic susceptibility variants in systemic vasculitis.

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3.  Two susceptibility loci to Takayasu arteritis reveal a synergistic role of the IL12B and HLA-B regions in a Japanese population.

Authors:  Chikashi Terao; Hajime Yoshifuji; Akinori Kimura; Takayoshi Matsumura; Koichiro Ohmura; Meiko Takahashi; Masakazu Shimizu; Takahisa Kawaguchi; Zhiyong Chen; Taeko K Naruse; Aiko Sato-Otsubo; Yusuke Ebana; Yasuhiro Maejima; Hideyuki Kinoshita; Kosaku Murakami; Daisuke Kawabata; Yoko Wada; Ichiei Narita; Junichi Tazaki; Yasushi Kawaguchi; Hisashi Yamanaka; Kimiko Yurugi; Yasuo Miura; Taira Maekawa; Seishi Ogawa; Issei Komuro; Ryozo Nagai; Ryo Yamada; Yasuharu Tabara; Mitsuaki Isobe; Tsuneyo Mimori; Fumihiko Matsuda
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4.  A novel susceptibility locus for Takayasu arteritis in the IL12B region can be a genetic marker of disease severity.

Authors:  Takayoshi Matsumura; Eisuke Amiya; Natsuko Tamura; Yasuhiro Maejima; Issei Komuro; Mitsuaki Isobe
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6.  Identification of Susceptibility Loci in IL6, RPS9/LILRB3, and an Intergenic Locus on Chromosome 21q22 in Takayasu Arteritis in a Genome-Wide Association Study.

Authors:  Paul A Renauer; Guher Saruhan-Direskeneli; Patrick Coit; Adam Adler; Kenan Aksu; Gokhan Keser; Fatma Alibaz-Oner; Sibel Z Aydin; Sevil Kamali; Murat Inanc; Simon Carette; David Cuthbertson; Gary S Hoffman; Servet Akar; Fatos Onen; Nurullah Akkoc; Nader A Khalidi; Curry Koening; Omer Karadag; Sedat Kiraz; Carol A Langford; Kathleen Maksimowicz-McKinnon; Carol A McAlear; Zeynep Ozbalkan; Askin Ates; Yasar Karaaslan; Nursen Duzgun; Paul A Monach; Huseyin T E Ozer; Eren Erken; Mehmet A Ozturk; Ayten Yazici; Ayse Cefle; Ahmet Mesut Onat; Bunyamin Kisacik; Christian Pagnoux; Timucin Kasifoglu; Emire Seyahi; Izzet Fresko; Philip Seo; Antoine G Sreih; Kenneth J Warrington; Steven R Ytterberg; Veli Cobankara; Deborah S Cunninghame-Graham; Timothy J Vyse; Omer N Pamuk; S Ercan Tunc; Ediz Dalkilic; Muge Bicakcigil; Sibel P Yentur; Jonathan D Wren; Peter A Merkel; Haner Direskeneli; Amr H Sawalha
Journal:  Arthritis Rheumatol       Date:  2015-05       Impact factor: 10.995

7.  Perforin-secreting killer cell infiltration and expression of a 65-kD heat-shock protein in aortic tissue of patients with Takayasu's arteritis.

Authors:  Y Seko; S Minota; A Kawasaki; Y Shinkai; K Maeda; H Yagita; K Okumura; O Sato; A Takagi; Y Tada
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8.  TNF inhibitors appear to inhibit disease progression and improve outcome in Takayasu arteritis; an observational, population-based time trend study.

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9.  Tertiary Lymphoid Organs in Takayasu Arteritis.

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Journal:  Front Immunol       Date:  2016-04-22       Impact factor: 7.561

10.  Efficacy and safety of tocilizumab in patients with refractory Takayasu arteritis: results from a randomised, double-blind, placebo-controlled, phase 3 trial in Japan (the TAKT study).

Authors:  Yoshikazu Nakaoka; Mitsuaki Isobe; Syuji Takei; Yoshiya Tanaka; Tomonori Ishii; Shumpei Yokota; Akira Nomura; Seitaro Yoshida; Norihiro Nishimoto
Journal:  Ann Rheum Dis       Date:  2017-11-30       Impact factor: 19.103

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