Warrington, Kenneth J.

Abstract Idiopathic pulmonary fibrosis (IPF) and rheumatoid arthritis‐associated interstitial lung disease (RA‐ILD) are two fibrotic interstitial lung diseases that share the usual interstitial pneumonia (UIP) injury pattern. Here, we report that RNA sequencing of lung biopsies from patients with RA‐ILD and IPF revealed shared and distinct disease‐causing pathways. Analysis of transcriptomic data identified a JAK2 related JAK/STAT signaling pathway gene signature that distinguishes RA‐UIP from idiopathic UIP. This was further confirmed by immunohistostaining, which identified JAK2 phosphorylation with two distinct forms of activation: a cytoplasmic form of JAK2 activation in most IPF cases (13/20) and a nuclear form of p‐JAK2 in RA‐UIP (5/5) and a minority of IPF (6/20) cases. Further immunohistostaining identified STAT5A&B as the downstream transcriptional activator for JAK2‐mediated canonical signal transduction and phosphorylation of Tyr41 on histone H3 (H3Y41ph) as the downstream epigenetic regulation site for JAK2‐mediated noncanonical signal transduction. Gene Set Enrichment Analysis (GSEA) of the RNA‐Seq data further supported this shared pathogenic mechanism for the two diseases with the enrichment of STAT5A&B target gene sets as well as the JAK2 regulated H3Y41ph target gene set. This regulatory role of JAK2 in the pathogenesis of pulmonary fibrosis was further demonstrated by the attenuation of bleomycin‐induced murine pulmonary fibrosis using a JAK2‐selective pharmacological inhibitor CEP33779. In vitro studies with normal and IPF derived lung fibroblasts revealed a central role for JAK2 as an essential intermediary molecule in TGF‐β‐mediated myofibroblast trans‐differentiation, proliferation, and extracellular matrix protein production. These observations support a crucial role for JAK2 as an intermediary molecule in fibrotic lung disease development.

ObjectiveTo identify hallmark genes and biomolecular processes in aortitis using high‐throughput gene expression profiling, and to provide a range of potentially new drug targets (genes) and therapeutics from a pharmacogenomic network analysis.MethodsBulk RNA sequencing was performed on surgically resected ascending aortic tissues from inflammatory aneurysms (giant cell arteritis [GCA] with or without polymyalgia rheumatica, n = 8; clinically isolated aortitis [CIA], n = 17) and noninflammatory aneurysms (n = 25) undergoing surgical aortic repair. Differentially expressed genes (DEGs) between the 2 patient groups were identified while controlling for clinical covariates. A protein–protein interaction model, drug–gene target information, and the DEGs were used to construct a pharmacogenomic network for identifying promising drug targets and potentially new treatment strategies in aortitis.ResultsOverall, tissue gene expression patterns were the most associated with disease state than with any other clinical characteristic. We identified 159 and 93 genes that were significantly up‐regulated and down‐regulated, respectively, in inflammatory aortic aneurysms compared to noninflammatory aortic aneurysms. We found that the up‐regulated genes were enriched in immune‐related functions, whereas the down‐regulated genes were enriched in neuronal processes. Notably, gene expression profiles of inflammatory aortic aneurysms from patients with GCA were no different than those from patients with CIA. Finally, our pharmacogenomic network analysis identified genes that could potentially be targeted by immunosuppressive drugs currently approved for other inflammatory diseases.ConclusionWe performed the first global transcriptomics analysis in inflammatory aortic aneurysms from surgically resected aortic tissues. We identified signature genes and biomolecular processes, while finding that CIA may be a limited presentation of GCA. Moreover, our computational network analysis revealed potential novel strategies for pharmacologic interventions and suggests future biomarker discovery directions for the precise diagnosis and treatment of aortitis.

Objective To test the ability of machine learning (ML) approaches with clinical and genomic biomarkers to predict methotrexate treatment response in patients with early rheumatoid arthritis (RA). Methods Demographic, clinical, and genomic data from 643 patients of European ancestry with early RA (mean age 54 years; 70% female) subdivided into a training (n = 336) and validation cohort (n = 307) were used. The genomic data comprised 160 single‐nucleotide polymorphisms (SNPs) previously associated with RA or methotrexate metabolism. Response to methotrexate monotherapy was defined as good or moderate by the European Alliance of Associations for Rheumatology (EULAR) response criteria at the 3‐month follow‐up. Supervised ML methods were trained with 5 repeats and 10‐fold cross‐validation using the training cohort. Prediction performance was validated in the independent validation cohort. Results Supervised ML methods combining age, sex, smoking, rheumatoid factor, baseline Disease Activity Score in 28 joints (DAS28) scores and 160 SNPs predicted EULAR response at 3 months with the area under the receiver operating curve of 0.84 ( P = 0.05) in the training cohort and achieved a prediction accuracy of 76% ( P = 0.05) in the validation cohort (sensitivity 72%, specificity 77%). Intergenic SNPs rs12446816, rs13385025, rs113798271, and ATIC (rs2372536) had variable importance above 60.0 and along with baseline DAS28 scores were among the top predictors of methotrexate response. Conclusion Pharmacogenomic biomarkers combined with baseline DAS28 scores can be useful in predicting response to methotrexate in patients with early RA. Applying ML to predict treatment response holds promise for guiding effective RA treatment choices, including timely escalation of RA therapies.

Abstract Background VEXAS syndrome (vacuoles, E1 enzyme, X-linked, autoinflammatory, somatic) is due to a somatically acquired mutation of the E1-ubiquitin ligase UBA1, leading to the expression of a catalytically impaired isoform in myeloid cells. VEXAS syndrome combines severe auto-inflammatory manifestations and is frequently associated with myeloid neoplasia (MN). The outcome of VEXAS is poor, and most patients require high dose corticosteroids to reduce inflammation (Bourbon et al. Blood 2021). Therapeutic options besides steroids are currently limited in those patients. In this multicenter retrospective study, we report some clinical efficacy of JAK inhibitors (JAKi) in VEXAS patients. Patients We analyzed retrospectively 24 UBA1 mutated patients (Met41 or previously reported alternative splicing site) treated with JAKi (11 with ruxolitinib (RUXO), 11 with tofacitinib (TOFA), 1 with baricitinib, 1 with upadicitinib) in 7 French, 1 Portugese and 2 US centers. Complete clinical (CCR) and complete biological response (CBR) were defined as complete resolution of clinical symptoms and normalization of inflammation markers (C reactive protein, CRP) respectively. Partial clinical (PCR) and biological (PBR) response were defined by reduction of at least 50% of clinical or inflammation markers, respectively. Results All 24 patients were males with a median age at VEXAS diagnosis of 72 years [range 54-89]. Thirteen had documented myeloid neoplasia (MN) (1 CMML-0, 1 other MDS/MPN, 10 MDS). Clinical manifestations at VEXAS diagnosis include skin involvement (87.5%), arthritis or arthralgia (83.3%), vasculitis (37.5%), fever (75%), ocular manifestations (29.2%) and pulmonary infiltrates (41.6%). IPSS-R was very low/low/intermediate in 8/3/2 cases respectively. Median time between first VEXAS related clinical manifestations and JAKi onset was 2.45 years [0.15-5.45]. Prior to JAKi onset, patients had received a median of 2.5 immunosuppressive/immunomodulatory treatments [range 0-9]. After 1 month, 12/24 (50%) patients had achieved clinical and/or biological response. CCR and CBR was achieved in 7/11 (64%) and 6/11 (54%) patients treated with RUXO, and in 3/13 (23%) and 2/13 (15%) patients treated with other JAKi (figure A). After 3 months, CCR and CBR was 100% and 80% (10 evaluable patients) in the RUXO group as compared to 25% and 25 % in patients treated with other JAKi (8 evaluable patients) (p=0.0036 et 0.0055 respectively, figure B). RUXO efficacy was similar in patients with (n=9) or without (n=2) associated MN. In RUXO treated patients, median CRP and steroid dose reduction was 72.5% [range 21.5- 99.5] and 66.25% [range 0-75] respectively at 3 months. With a median follow-up of 4 months [range 1.4-12], only 1 RUXO treated patient had lost response, whereas median time to next of treatment was 3.4 months with other JAKi (figure C). Of the 13 patients with MN, 7 were RBC transfusion dependent at JAKi onset (6 with RUXO, 1 with other JAKi). Four of 6 patients treated with RUXO achieved RBC transfusion independence at 3 months, but not the patient treated with other JAKi. Regarding safety, severe adverse events were reported in 6 patients: 3 deep vein thrombosis, (2 with TOFA/1 with RUXO), 1 pneumonia (RUXO), 1 enterohemorrhagic E. Coli infection (RUXO), and 1 lethal legionellosis (TOFA)). Conclusion Ruxolitinib (and less often other JAK inhibitors used in this study) provides rapid response in most VEXAS patients, allowing in two third of the cases corticosteroid dose reduction/withdrawal and RBC transfusion independence in 4/6 patients with MN who were initially transfusion dependent. Those retrospective preliminary results, with limited follow up, must be interpreted with caution and will be updated at the meeting. The effect of RUXO on VEXAS patients with concomitant MN will soon be studied prospectively in a Groupe Francophone des Myélodysplasies (GFM) clinical study. Figure 1 Figure 1. Disclosures Galicier: Novartis Pharma Sas, Sanofi Aventis France: Consultancy; Lilly France, Baxalta France, Sanofi Aventis France Sas: Other: Payments as Speaker for Educational Program; Shire France SA, Janssen-Cilag, Pfizer Sas: Other: Invitation to Congress. Hirsch: Novartis Pharma: Consultancy; Daiichi Sankyo Oncology: Consultancy. Warrington: Eli Lilly: Research Funding; Kiniksa: Research Funding. Fenaux: Novartis: Honoraria, Research Funding; JAZZ: Honoraria, Research Funding; Abbvie: Honoraria, Research Funding; Takeda: Honoraria, Research Funding; Janssen: Honoraria, Research Funding; Celgene/BMS: Honoraria, Research Funding; Syros Pharmaceuticals: Honoraria.

Abstract Introduction: VEXAS syndrome (vacuoles, E1 ubiquitin ligase, X-linked, autoinflammatory, somatic) is a newly recognized inflammatory disorder caused by somatic mutations in the UBA1 gene. Bone marrows from these patients reveal a range of morphological changes in hematopoietic precursor cells. In this study, we aim to assess the laboratory indices and morphologic spectrum of bone marrow pathology in VEXAS syndrome. Methods: We identified 16 cases of VEXAS syndrome. All cases had confirmed UBA1 mutation. We reviewed bone marrow biopsies corresponding to the date of diagnosis. This study was approved by the Mayo Clinic Institutional Review Board. Results: All patients were male with a median age of 73 years - associated autoimmune disorders included Sweet syndrome, inflammatory arthritis, relapsing polychondritis and granulomatosis with polyangiitis. 14/16 patients had anemia with median hemoglobin of 10.4 (Range: 6.7- 14.1 g/dL). 15/16 had macrocytosis with median MCV 110.4 (Range: 94.8- 123.1 /fL). 5/16 had thrombocytopenia with median platelet count 174 (Range: 20- 500 x10^9/L). 7/16 had leukopenia with median WBC 3.65 (Range: 2.4- 11.6 x10^9/ L). The ESR and CRP medians were 61.0 mm/hr and 81.5 mg/L, respectively. Karyotype was performed in 12 patients of which 11 were normal and the remaining case showed a complex karyotype. An NGS panel targeting the most frequent myeloid disorder associated gene mutations was negative in 10/15 cases. GS for myeloid mutations revealed pathogenic mutations in 5 patients, involving genes TET2 (2/5), DNMT3A (2/5), and TP53 (1/5). Conclusions: Bone marrow findings in VEXAS syndrome, in this series of 16 patients, are individually non-specific, yet when taken altogether in the overtly abnormal cases, are very suggestive when the clinical index of suspicion is high. In such scenarios, the combined clinical and bone marrow findings should prompt discussion and consideration for UBA1 mutation testing given the significant clinical implications for patient management and prognosis. Disclosures Patnaik: StemLine: Research Funding; Kura Oncology: Research Funding. Warrington: Eli Lilly: Research Funding; Kiniksa: Research Funding.

Abstract Objective To study the prevalence, risk and clinical associations of hypothyroidism among several forms of vasculitis. Methods Patients with GCA, Takayasu’s arteritis (TAK), PAN and the three forms of ANCA-associated vasculitis [AAV; granulomatosis with polyangiitis (GPA), microscopic polyangiitis and eosinophilic granulomatosis with polyangiitis (EGPA)] enrolled in a prospective, multicentre, longitudinal study were included. Results The study included data on 2085 patients [63% female, 90% White] with a mean age of 54.6 years (s.d. 17.2). Diagnoses were GCA (20%), TAK (11%), PAN (5%), GPA (42%), microscopic polyangiitis (8%) and EGPA (14%). Hypothyroidism was present in 217 patients (10%) (83% female), with a mean age 59.8 years (s.d. 14.5). Age- and sex-adjusted risk of hypothyroidism was GCA, odds ratio (OR) 0.61 (95% CI 0.41, 0.90); TAK, OR 0.57 (95% CI 0.31, 1.03); PAN, OR 0.59 (95% CI 0.25, 1.38); GPA, OR 1.51 (95% CI 1.12, 2.05); microscopic polyangiitis, OR 1.81 (95% CI 1.18, 2.80) and EGPA, OR 0.82 (95% CI 0.52, 1.30). Among patients with AAV, age- and sex-adjusted risk of hypothyroidism was higher with positive MPO-ANCA [OR 1.89 (95% CI 1.39, 2.76)]. The clinical manifestations of vasculitis were similar in patients with and without hypothyroidism, except transient ischaemic attacks, which were more frequently observed in patients with GCA and hypothyroidism (12% vs 2%; P = 0.001). Conclusions Differences in the risk of hypothyroidism among vasculitides may be due to genetic susceptibilities or immune responses. This study confirms an association of hypothyroidism with MPO-ANCA.