| Literature DB >> 29358286 |
Angeliki Giannelou1,2, Hongying Wang1, Qing Zhou1, Yong Hwan Park1, Mones S Abu-Asab3, Kris Ylaya4, Deborah L Stone1, Anna Sediva5, Rola Sleiman6, Lucie Sramkova7, Deepika Bhatla8, Elisavet Serti9, Wanxia Li Tsai10, Dan Yang11, Kevin Bishop12, Blake Carrington12, Wuhong Pei12, Natalie Deuitch1, Stephen Brooks13, Jehad H Edwan14, Sarita Joshi15, Seraina Prader16, Daniela Kaiser17, William C Owen18, Abdullah Al Sonbul19, Yu Zhang20, Julie E Niemela21, Shawn M Burgess12, Manfred Boehm11, Barbara Rehermann9, JaeJin Chae1, Martha M Quezado22, Amanda K Ombrello1, Rebecca H Buckley23, Alexi A Grom24, Elaine F Remmers1, Jana M Pachlopnik16, Helen C Su20, Gustavo Gutierrez-Cruz25, Stephen M Hewitt4, Raman Sood12, Kimberly Risma26, Katherine R Calvo21, Sergio D Rosenzweig21, Massimo Gadina10, Markus Hafner24, Hong-Wei Sun13, Daniel L Kastner1, Ivona Aksentijevich1.
Abstract
OBJECTIVES: To characterise the clinical features, immune manifestations and molecular mechanisms in a recently described autoinflammatory disease caused by mutations in TRNT1, a tRNA processing enzyme, and to explore the use of cytokine inhibitors in suppressing the inflammatory phenotype.Entities:
Keywords: zzm321990TRNT1zzm321990; TNF inhibitors; anti-TNF therapy; autoinflammation; congenital sideroblastic anemia with immunodeficiency; developmental delay (SIFD); fevers; tRNA
Mesh:
Substances:
Year: 2018 PMID: 29358286 PMCID: PMC5890629 DOI: 10.1136/annrheumdis-2017-212401
Source DB: PubMed Journal: Ann Rheum Dis ISSN: 0003-4967 Impact factor: 19.103
Figure 1Biallelic mutations in TRNT1 in the NHGRI cohort of patients. (A) Pedigrees of nine patients with SIFD. (B) Schematic representation of the exome data filtering approach leading to the identification of TRNT1 as the unique common gene in the first two families. (C) Evolutionary conservation of SIFD-associated mutations in this cohort. (D) In silico modelling of TRNT1 mutations based on the crystal structure of human TRNT1 (1ou5) (NP_001289875). Residues Arg99, Asp163, Thr110 and Asp128 are located within the head domain of TRNT1 and close to the catalytic residues Asp77, Asp79 and Glu121. Residues His215 and Ile223 are located in the neck domain. Lys416 and Ser418 are in the tail domain of the enzyme beyond the resolved crystal structure. (The PyMOL Molecular Graphics System, Schrödinger). SIFD, sideroblastic anaemia with immunodeficiency, fevers and developmental delay.
Figure 2Clinical findings of the NHGRI cohort of patients with SIFD. (A) Iron staining of patient 2 bone marrow aspirate showing ring sideroblasts (that represented more than 50% of erythroid precursors) (black arrows) and increased iron staining. (B) Abnormal findings in the cerebrum of patient 3 by fluid-attenuated inversion recovery (FLAIR) MRI of the brain. The image shows bilateral cerebral atrophy (yellow arrows), enlarged ventricles (white arrows) and extensive leukomalacia (red arrow heads). (C) H&E staining of rectosigmoid colon biopsy in patient 3 showing acute focal inflammation. (D) Splenomegaly in patient 2. (E) Knee effusion in patient 5. (F) Phagocyte (arrow) on bone marrow aspirate smear of patient 4. (G) Neutrophil with toxic granules in peripheral blood smear of patient 4. SIFD, sideroblastic anaemia with immunodeficiency, fevers and developmental delay.
Figure 3Inflammatory signature in patients with SIFD. (A) Serum cytokine and chemokine levels from patient 4 compared with paediatric healthy controls. For patient 4, each symbol represents measurements of serum samples collected during two independent flares (CRP levels 133 mg/L and 220 mg/L, respectively, normal values <3 mg/L). Forty-eight cytokines were measured by bead-based immunoassay as described in Material and Methods. Proinflammatory cytokines IL-6, IL-12p40, IL-18, IFN-γ and IFN-induced chemokines (IP10 and MIG) and levels of circulating soluble TNF-R1 (sTNF-R1) and TNF-R2 (sTNF-R2) were at least 10 SD higher in the patient compared with the average concentration of the 11 healthy controls. (B) Elevated levels of cytokines and chemokines, as shown for P4 in panel A, in postmortem plasma sample from patient 3 and a healthy control.
Figure 4Ultrastructural findings of extensive cellular degeneration and necrosis. (A) Mitochondrial degeneration, from left to right: monocyte in patient 4 bone marrow (BM) with numerous degenerated mitochondria (white arrows); lymphocyte in patient 4 BM with coexistence of two normal mitochondria (M) and two abnormal, degenerate mitochondria (DM); monocyte in patient 6 BM with accumulation of lipid droplets (L), degenerate mitochondria (DM) (white arrows), nuclear envelope gaps (white arrowheads, N=nucleus). (B) Increased autophagosomes, from left to right: skin fibroblast in patient 6 with multiple autophagosomes (white arrows), degenerated mitochondrion (white arrowhead); degenerate fibroblast in patient 6 with pyknotic nucleus (N), extranuclear chromatin vesicles (CV), autophagosomes (A) and degenerate mitochondria (M). (C) Necrotic cells and debris in patient 4 BM (left and middle panel); blood vessel in P4 BM showing abnormal, degenerate endothelial cell (E), with thin, rough margins (white arrowheads), autophagosomes within serum (white arrows), vessel wall breakage and serum leakage (white circle) (M=monocyte).
Figure 5Decreased mature tRNAs and proteostasis dysregulation in patients’ cells. (A) Defect in maturation of cytosolic tRNAs in patients’ fibroblasts. Briefly, tRNAs were purified from total RNA from patient (n=2) and healthy control (n=3) fibroblasts to prepare a small RNA library, followed by Illumina sequencing as outlined in Materials and Methods. Small RNA reads were aligned to the human genome and expression values for mature tRNAs, expressed in our dataset (n=227), were calculated as described in Materials and Methods. Left panel: plots show the density of the average expression of mature tRNAs in patients versus controls. Right panel: frequency of mature tRNAs in patients (n=2) relative to healthy controls (n=3). The x-axis of the histogram represents log2 ratio intervals and the y-axis represents the corresponding number of mature tRNAs in each ratio range. Statistics: one-sample Wilcoxon signed rank test. (B) Increased intracellular K48 ubiquitin levels and defects in autophagosome formation in mutant fibroblasts following stimulation with TNF and treatment with proteasome inhibitor MG132. Cultured fibroblasts from patients (n=2) and healthy controls (n=4) were detached from plates and treated with TNF with or without the proteasome inhibitor MG132 for 3 hours. Cells were lysed and immune-precipitated with antibodies against ubiquitin, and then blotted with specific antibody against K48-specific ubiquitin. (C) Bands in the immunoblots were quantified by Quantity One (Bio-Rad) and the ratio of LC3B-II/LC3 B-I is shown in bar graphs. TNF, tumour necrosis factor.
Figure 6Treatment with TNF inhibitors normalised the inflammatory signature in SIFD. (A) Serum CRP levels before and after treatment in patients 4 and 5. Asterisks indicate the initiation of therapy with etanercept for patient 4 (shown in red) and infliximab for patient 5 (shown in blue). (B) Normalisation of serum proinflammatory cytokines and soluble sCD14 levels, a marker of monocyte activation, in patient 4 following initiation of etanercept. (C) Patient 5 colon biopsy showing resolution of inflammation with anti-TNF therapy. Top row showing abnormal findings pretreatment: from left to right: H&E staining with cryptitis (blue long arrow), crypt abscesses (blue short arrow) and lymphoplasmatic infiltrates (white arrow); inflammatory infiltrates by neutrophils (MPO+); macrophages (KP1+) and CD8+ T cells in tissue immunohistochemistry; positive TNF and IL-1β immunohistochemistry staining. Bottom row: resolution of pretreatment abnormal findings following initiation of infliximab. (MPO: myeloperoxidase, KP1: macrosialin). CRP, C reactive protein; IL, interleukin; SIFD, sideroblastic anaemia with immunodeficiency, fevers and developmental delay; TNF, tumour necrosis factor.