An update on the microbiome in vasculitis.

PURPOSE OF REVIEW: To summarize recent evidence regarding the presence and potential role of the microbiome in systemic vasculitides. RECENT FINDINGS: Microbiomic descriptions are now available in patients with small, medium and large vessel vasculitis. The majority of studies have evaluated gastrointestinal inhabitants, with a smaller number of studies describing the nasal, pulmonary or vascular microbiomes. Most published studies are observational and cross-sectional. Dysbiosis is seen frequently in vasculitis patients with reduced microbial diversity observed in nasal, fecal and vascular samples compared with disease and/or healthy controls. Predominant bacteria vary, but overall, patients with vasculitis tend to have more pathogenic and less commensal bacteria in active disease. In the few longitudinal studies available, improvement or resolution of dysbiosis has been observed following vasculitis treatment and improved disease activity. SUMMARY: Dysbiosis and reduced microbial diversity has been identified in patients with small, medium and large vessel vasculitis. Although limited data suggests microbiomes may 'normalize' following immunosuppression, cause or effect cannot be determined. It is hypothesized that microbial disruption in a genetically susceptible individual may trigger excessive host immune activation and vasculitis; however, larger studies with longitudinal and translational design are needed to further our current understanding.

Cardiovascular Disease in Large Vessel Vasculitis: Risks, Controversies, and Management Strategies.

Takayasu's arteritis (TAK) and giant cell arteritis (GCA) are the 2 most common primary large vessel vasculitides (LVV). They share common vascular targets, clinical presentations, and histopathology, but target a strikingly different patient demographic. While GCA predominantly affects elderly people of northern European ancestry, TAK preferentially targets young women of Asian heritage. Cardiovascular diseases (CVD), including ischemic heart disease, cerebrovascular disease, aortic disease, and thromboses, are significantly increased in LVV. In this review, we will compare and contrast the issue of CVD in patients with TAK and GCA, with respect to prevalence, risk factors, and mechanisms of events to gain an understanding of the relative contributions of active vasculitis, vascular damage, and accelerated atherosclerosis. Controversies and possible mitigation strategies will be discussed.

Cardiovascular events and the role of accelerated atherosclerosis in systemic vasculitis.

The spectrum of inflammatory blood vessel diseases includes both atherosclerosis and the primary systemic vasculitides. Although the inciting triggers differ, significant overlap exists in the mechanisms that contribute to sustained inflammation and vascular damage in both entities. With improvement in therapeutics to control acute vasculitis leading to longer survival, cardiovascular morbidity and mortality has emerged as the leading cause of death for vasculitis patients. Cardiovascular events likely occur as a consequence of vasculitis, vascular damage from prior inflammation causing a sustained procoagulant state, and accelerated atherosclerosis. In this review, we discuss the latest evidence regarding risk of cardiovascular events in patients with major forms of primary systemic vasculitis, and review the mechanisms by which accelerated atherosclerosis may occur.

CanVasc Consensus Recommendations for the Management of Antineutrophil Cytoplasm Antibody-associated Vasculitis: 2020 Update.

OBJECTIVE: In 2015, the Canadian Vasculitis Research Network (CanVasc) created recommendations for the management of antineutrophil cytoplasm antibody (ANCA)-associated vasculitides (AAV) in Canada. The current update aims to revise existing recommendations and create additional recommendations, as needed, based on a review of new available evidence. METHODS: A needs assessment survey of CanVasc members informed questions for an updated systematic literature review (publications spanning May 2014 to September 2019) using Medline, Embase, and Cochrane. New and revised recommendations were developed and categorized according to the level of evidence and strength of each recommendation. The CanVasc working group used a 2-step modified Delphi procedure to reach > 80% consensus on the inclusion, wording, and grading of each new and revised recommendation. RESULTS: Eleven new and 16 revised recommendations were created and 12 original (2015) recommendations were retained. New and revised recommendations are discussed in detail within this document. Five original recommendations were removed, of which 4 were incorporated into the explanatory text. The supplementary material for practical use was revised to reflect the updated recommendations. CONCLUSION: The 2020 updated recommendations provide rheumatologists, nephrologists, and other specialists caring for patients with AAV in Canada with new management guidance, based on current evidence and consensus from Canadian experts.

Optimal length and usefulness of temporal artery biopsies in the diagnosis of giant cell arteritis: a 10-year retrospective review of medical records.

BACKGROUND: In giant cell arteritis, temporal artery biopsies often show vasculitis with giant cell formation, but optimal biopsy length for diagnosis is debated. We reviewed temporal artery biopsies from a 10-year period in the province of Alberta, Canada, to identify an ideal biopsy length in the diagnostic process for giant cell arteritis. METHODS: We retrospectively reviewed electronic medical records of patients who had undergone a temporal artery biopsy procedure in Alberta between Jan 1, 2008, and Jan 1, 2018, as reported in the Data Integration and Management Repository of Alberta Health Services. We extracted data on baseline demographic characteristics (sex and age), inflammatory markers (erythrocyte sedimentation rate [ESR] and C-reactive protein [CRP]), temporal artery biopsy characteristics (side of biopsy and postfixation length), and final pathological diagnoses. All positive biopsies were reviewed by a single pathologist to ensure uniformity of pathological interpretation, with subsequent discordant results removed from analysis. Predictors of positive pathological diagnosis of giant cell arteritis were modeled by logistic regression, and the Akaike information criterion was used to compare logistic regression models with varying biopsy length cutoffs (0·5, 1·0, 1·5, 2·0, and 2·5 cm) to determine a change point for diagnostic sensitivity in postfixation length. FINDINGS: We extracted data on 1203 temporal artery biopsies; after removal of 13 discordant biopsies, 1190 biopsies from 1163 patients were reviewed. The mean age of patients was 72·0 years (SD 10·3) and 799 (68·7%) patients were women. 222 (18·7%) temporal artery biopsies were positive for giant cell arteritis. In univariable analysis, increases in age (71·3 years [SD 10·6] in negative biopsies vs 75·3 years [8·3] in positive biopsies; odds ratio [OR] 1·04 [95% CI 1·02-1·06]; p<0·0001)), ESR (36 mm/h [IQR 18-62] in negative biopsies vs 57 [31-79] in positive biopsies; 1·01 [1·01-1·02]; p<0·0001), CRP (12·1 mg/L [IQR 3·3-35·1] in negative biopsies vs 41·8 [14·6-82·4] in positive biopsies; 1·01 [1·01-1·01]; p<0·0001), and biopsy length (1·2 cm [IQR 0·9-1·7] in negative biopsies vs 1·6 [1·1-2·0] in positive biopsies; 1·28 [1·09-1·51]; p=0·0025) were associated with a positive pathological diagnosis. In multivariable analysis adjusted for age, ESR, and CRP, age (adjusted OR 1·04 [95% CI 1·02-1·05]; p=0·0001), CRP (1·01 [1·00-1·01]; p=0·0006), and biopsy length (1·22 [1·00-1·49]; p=0·047) remained statistically significant predictors. The Akaike information criterion determined a change point of 1·5 cm for diagnostic sensitivity. INTERPRETATION: Accounting for postfixation shrinkage, our findings suggest a 1·5-2·0 cm prefixation length as the optimal biopsy length to diagnose patients with giant cell arteritis, with greater lengths unlikely to provide significant additional diagnostic yield to justify risks associated with surgery. FUNDING: None.

Outcomes Among 196 Patients With Noninfectious Proximal Aortitis.

OBJECTIVE: Noninfectious aortitis may occur in the context of a recognized systemic disease or as a topographically limited lesion without systemic features, which is called clinically isolated aortitis (CIA). This study was undertaken to better define and stress the limitations of this diagnostic category in a large population of patients in a single center dedicated to aortic diseases and to suggest recommendations for care. METHODS: Records of patients undergoing thoracic aortic surgery (1996-2012) at the Cleveland Clinic were reviewed to identify 196 patients with histopathologically proven aortitis. Clinical diagnoses (giant cell arteritis [GCA], Takayasu arteritis [TAK], CIA, or Other) were determined at the time of surgery. Clinical features, laboratory findings, and imaging results were recorded throughout the follow-up period. At least 6 months of follow-up data were available for 73 CIA patients. RESULTS: The mean age of the patients at time of surgery was 65.6 years (range 15-88 years); 67% of patients were female, and 90.3% were white. At the time of surgery, 129 patients (65.8%) met criteria for CIA, 42 (21.4%) for GCA, 14 (7.1%) for TAK, and 11 (5.6%) met criteria for other systemic inflammatory diseases. During a mean follow-up period of 56.2 months, 19% of CIA patients developed new symptoms, 45% developed new radiographic vascular lesions, 40% underwent additional vascular surgery, and 12% died (n = 9). Eleven of 73 patients (15%) initially classified as having CIA developed features of a systemic disease, most often GCA. CONCLUSION: The majority of patients (66%) with histopathologically proven aortitis have CIA at the time of surgery. CIA patients infrequently report new symptoms over time, but new vascular lesions requiring surgery commonly occur. Serial follow-up including large vessel imaging is strongly advised for all aortitis patients.

The Microbiome of Temporal Arteries.

OBJECTIVE: A role for microorganisms in giant cell arteritis (GCA) has long been suspected. We describe the microbiomes of temporal arteries from patients with GCA and controls. METHODS: Temporal artery biopsies from patients suspected to have GCA were collected under aseptic conditions and snap-frozen. Fluorescence in situ hybridization (FISH) and long-read 16S rRNA-gene sequencing was used to examine microbiomes of temporal arteries. Taxonomic classification of bacterial sequences was performed to the genus level and relative abundances were calculated. Microbiome differential abundances were analyzed by principal coordinate analysis (PCoA) with comparative Unifrac distances and predicted functional profiling using PICRUSt. RESULTS: Forty-seven patients, including 9 with biopsy-positive GCA, 15 with biopsy-negative GCA and 23 controls without GCA, were enrolled. FISH for bacterial DNA revealed signal in the arterial media. Beta, but not alpha, diversity differed between GCA and control temporal arteries (P = 0.042). Importantly, there were no significant differences between biopsy-positive and biopsy-negative GCA (P > 0.99). The largest differential abundances seen between GCA and non-GCA temporal arteries included Proteobacteria (P), Bifidobacterium (g), Parasutterella (g), and Granulicatella (g) [Log 2-fold change ≥ 4]. CONCLUSION: Temporal arteries are not sterile, but rather are inhabited by a community of bacteria. We have demonstrated that there are microbiomic differences between GCA and non-GCA temporal arteries, but not between biopsy-positive and biopsy-negative GCA.

Microbiomes of Inflammatory Thoracic Aortic Aneurysms Due to Giant Cell Arteritis and Clinically Isolated Aortitis Differ From Those of Non-Inflammatory Aneurysms.

OBJECTIVE: We sought to characterize microbiomes of thoracic aortas from patients with non-infectious aortitis due to giant cell arteritis (GCA) and clinically isolated aortitis (CIA) and to compare them to non-inflammatory aorta aneurysm controls. We also compared microbiomes from concurrently processed and separately reported temporal arteries (TA) and aortas. METHODS: From 220 prospectively enrolled patients undergoing surgery for thoracic aorta aneurysm, 49 were selected. Inflammatory and non-inflammatory cases were selected based on ability to match for age (+/-10 years), gender, and race. Biopsies were collected under aseptic conditions and snap-frozen. Taxonomic classification of bacterial sequences was performed to the genus level and relative abundances were calculated. Microbiome differential abundances were analyzed by principal coordinates analysis. RESULTS: Forty-nine patients with thoracic aortic aneurysms (12 CIA, 14 GCA, 23 non-inflammatory aneurysms) were enrolled. Alpha (P=0.018) and beta (P=0.024) diversity differed between specimens from aortitis cases and controls. There were no significant differences between CIA and GCA (P>0.7). The largest differential abundances between non-infectious aortitis and non-inflammatory control samples included Enterobacteriaceae, Phascolarctobacterium, Acinetobactor, Klebsiella, and Prevotella. Functional metagenomic predictions with PICRUSt revealed enrichment of oxidative phosphorylation and porphyrin metabolism pathways and downregulation of transcription factor pathways in aortitis compared to controls. Microbiomes of aortic samples differed significantly from temporal artery samples from a companion study, in both control and GCA groups (P=0.0002). CONCLUSION: Thoracic aorta aneurysms, far from being sterile, contain unique microbiomes that differ from those found in temporal arteries. The aorta microbiomes are most similar between aneurysms that were associated with inflammation, GCA, and CIA, but differed from those associated with non-inflammatory etiologies. These findings are promising in that they indicate that microbes may play a role in the pathogenesis of aortitis-associated aneurysms or non-inflammatory aneurysms by promoting or protecting against inflammation. However, we cannot rule out that these changes are related to alterations in tissue substrate that favor secondary changes in microbial communities.

Positron Emission Tomography/Computerized Tomography in Newly Diagnosed Patients with Giant Cell Arteritis Who Are Taking Glucocorticoids.

OBJECTIVE: Large vessel uptake on positron emission tomography/computerized tomography (PET/CT) supports the diagnosis of giant cell arteritis (GCA). Its value, however, in patients without arteritis on temporal artery biopsy and in those receiving glucocorticoids remains unknown. We compared PET/CT results in GCA patients with positive (TAB+) and negative temporal artery biopsies (TAB-), and controls. METHODS: Patients with new clinically diagnosed GCA starting treatment with glucocorticoids underwent temporal artery biopsy and PET/CT. Using a visual semiquantitative approach, 18F-fluorodeoxyglucose (FDG) uptake was scored in 8 vascular territories and summed overall to give a total score in patients and matched controls. RESULTS: Twenty-eight patients with GCA and 28 controls were enrolled. Eighteen patients with GCA were TAB+. Mean PET/CT scores after an average of 11.9 days of prednisone were higher in patients with GCA compared to controls, for both total uptake (10.34 ± 2.72 vs 7.73 ± 2.56; p = 0.001), and in 6 of 8 specific vascular territories. PET/CT scores were similar between TAB+ and TAB- patients with GCA. The optimal cutoff for distinguishing GCA cases from controls was a total PET/CT score of ≥ 9, with an area under the receiver-operating characteristic curve of 0.75, sensitivity 71.4%, and specificity 64.3%. Among patients with GCA, these measures correlated with greater total PET/CT scores: systemic symptoms (p = 0.015), lower hemoglobin (p = 0.009), and higher platelet count (p = 0.008). CONCLUSION: Vascular FDG uptake scores were increased in most patients with GCA despite exposure to prednisone; however, the sensitivity and specificity of PET/CT in this setting were lower than those previously reported.