University of California, Berkley

Author Of 3 Presentations

Microbiome Late Breaking Abstracts

LB01.05 - Network analysis identifies gut bacteria associated with multiple sclerosis relapse among pediatric-onset patients

Abstract

Background

Commensal gut microbes are known to affect host immune function and may be modifiable. Recent work suggests gut microbiota composition contributes to onset of MS; however, little is known about its contribution to MS disease activity.

Objectives

Estimate the association between gut microbiota and subsequent disease activity among individuals with pediatric-onset MS (pedMS) from the U.S. Network of Pediatric MS Centers.

Methods

Stool samples were collected from cases (MS symptom onset <18 years) and profiled using 16S rRNA sequencing of the V4 region. Amplicon sequence variants (ASVs) were identified using the Divisive Amplicon Denoising Algorithm-2 (DADA2). ASVs present in <20% of samples were removed. ASV clusters (modules) were identified using weighted genetic correlation network analysis (WGCNA) and sparCC transformation of ASV abundance. Cox proportional hazard recurrent event models were used to examine the relationship between individual ASVs and then ASV clusters, adjusted for age, sex, and disease modifying therapy (DMT) use.

Results

Of 53 pedMS cases, 72% were girls. At stool sample collection, the mean age was 15.5 years (SD: 2.7) and disease duration was 1.1 years (SD: 1.0). Less than half (45%) had one relapse and 30% had >1 relapse over the subsequent mean follow-up of 2.5 years (SD:1.3). Over this time, 91% used a DMT. Among 270 individual ASVs included in the analyses, 20 were nominally significant (p<0.05), e.g. the presence of Blautia stercoris was associated with higher relapse risk (hazard ratio [HR]=2.50; 95% confidence interval [CI]=1.43, 4.37). WGCNA identified 6 ASV modules. Higher values of one module’s eigengene was significantly (false discovery rate q<0.2) associated with higher relapse risk (HR=1.23, 95% CI=1.02, 1.50). Four ASVs nominally associated with higher relapse risk were in this module. These included Blautia massiliensis, Dorea longicatena, Coprococcus comes, and an unknown species in genus Subdoligranulum.

Conclusions

We found that a high relative abundance of a gut microbiota species within the Blautia genus, and its interconnected variants, was associated with a higher relapse risk in pedMS cases. While our study represents the largest of its kind in MS, findings need to be replicated. However, Blautia stercoris has been linked to disease activity in other immune-mediated diseases such as systemic lupus erythematosus.

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Pediatric MS Oral Presentation

PS04.04 - Evidence for an interaction between ozone pollution and HLA-DRB1*15 alleles in pediatric multiple sclerosis

Abstract

Background

We previously reported a relationship between air pollutants and increased risk of pediatric MS (ped-MS). Environmental risk factor research in ped-MS offers the advantage of shorter duration between exposure and disease onset. Ozone, an air pollutant, is a major global health hazard thought to have a role in MS pathoetiology. Identifying gene-environment interactions advances the understanding of biological processes at play in MS susceptibility.

Objectives

We sought to examine the interaction between ozone pollution and DRB1*15 status as the main genetic variant associated with MS susceptibility.

Methods

Cases and controls enrolled in the Environmental and Genetic Risk Factors for Pediatric MS study of the US Network of Pediatric MS Centers were analysed. County-level modeled ozone data were acquired from the CDC’s Environmental Tracking Network air pollution database. Participants were assigned ozone values based on county of residence. Values were categorized into tertiles based on healthy controls. The association between ozone tertiles and having MS were assessed by logistic regression. Interaction between tertiles of ozone level and presence of DRB1*15 alleles on odds of ped-MS was evaluated. Models were adjusted for sex, race, ethnicity, age, second-hand smoke exposure, and mother’s education. Additive interaction was estimated using relative risk due to interaction (RERI) and attributable proportion of disease were calculated.

Results

355 ped-MS cases and 565 controls contributed to the analyses. Ozone levels were associated with MS with an odds ratio (OR) of 2.35 (95%CI 1.57–3.51) and 2.21 (95%CI 1.48–3.32) in the upper two tertiles, respectively, compared with the lowest tertile. DRB1 status was also independently associated with MS (OR 1.99; 95%CI 1.43–2.78). There was a significant additive interaction between ozone and DRB1, with a RERI of 2.74 (95%CI 0.50–4.98) and 2.43 (95%CI 0.36–4.5) in the upper two tertiles, respectively. Approximately 60% of the ped-MS risk in those with HLA-DRB1*15 haplotype and high ozone exposure was attributable to the interaction between these risk factors.

Conclusions

Our data revealed additive interaction between higher exposure to ozone and DRB1 alleles on ped-MS susceptibility. Further evaluation of additional genetic variants that might play a role in ozone-induced ped-MS is underway to provide mechanistic insight.

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Genetics and Epigenetics Oral Presentation

PS08.04 - Polygenic Risk Score Analysis in Multiple Sclerosis

Speakers
Presentation Number
PS08.04
Presentation Topic
Genetics and Epigenetics
Lecture Time
13:27 - 13:39

Abstract

Background

The International Multiple Sclerosis Genetics Consortium (IMSGC) uncovered the contribution of inherited variants to multiple sclerosis (MS) in 115,801 individuals. Polygenic risk profiling intends to summarize and represent the genetic architecture of complex disorders and identify groups of individuals who can benefit from the knowledge of their increased susceptibility. In this context, it is important to explore the relationships between polygenic risk scores (PRS) in MS with disease status and severity in population-level and familial cohorts, in order to leverage potential clinical utilities.

Objectives

To develop and assess quantifiable measures of MS susceptibility and examine their association with phenotypic variability.

Methods

We employed both the Bayesian LDPred algorithm and Pruning and Thresholding to develop multiple MS-PRS from a multi-cohort GWAS comprising 41,505 participants. Models were validated in the UK Biobank phase 1 dataset and tested in both the UK Biobank phase 2 and the Kaiser Permanente Northern California (KPNC) MS datasets. PRS of families was tested in a cohort of 34 families with one affected parent and at least one affected child. Clinical phenotype data was used in the UCSF EPIC cohort including 742 MS patients. Standard quality control of the base (IMSGC) and target datasets was performed prior to final analyses.

Results

We observed a statistically significant difference between PRS distributions of cases and controls in both the UK Biobank and KPNC cohorts (P < 1e-70), and identified individuals at greater risk versus the rest of the population (OR > 3). We confirmed that an increased PRS in siblings of disease discordant parents is associated with a higher risk of MS and showed an enhanced power for disease prediction among siblings in a small cohort of 152 individuals. These results suggest that PRS metric shows promise for prediction of MS within sibships, but needs to be further tested in larger familial cohorts. The predictive prognostic value of PRS for selected MRI metrics and disability scores suggests that PRS modestly explain phenotypic variations.

Conclusions

Polygenic risk scores are currently the best estimate of the complex genetic architecture of MS and, when clinically implemented, could facilitate recognition and management of MS in early stages of the disease. These results provide a direction for translation of MS-GWAS studies into relevant biology and clinically meaningful outcomes.

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