Kevin Riehle

Gastrointestinal Microbiome Signatures of Pediatric Patients With Irritable Bowel Syndrome

BACKGROUND & AIMS The intestinal microbiomes of healthy children and pediatric patients with irritable bowel syndrome (IBS) are not well defined. Studies in adults have indicated that the gastrointestinal microbiota could be involved in IBS. METHODS We analyzed 71 samples from 22 children with IBS (pediatric Rome III criteria) and 22 healthy children, ages 7-12 years, by 16S ribosomal RNA gene sequencing, with an average of 54,287 reads/stool sample (average 454 read length = 503 bases). Data were analyzed using phylogenetic-based clustering (Unifrac), or an operational taxonomic unit (OTU) approach using a supervised machine learning tool (randomForest). Most samples were also hybridized to a microarray that can detect 8741 bacterial taxa (16S rRNA PhyloChip). RESULTS Microbiomes associated with pediatric IBS were characterized by a significantly greater percentage of the class γ-proteobacteria (0.07% vs 0.89% of total bacteria, respectively; P < .05); 1 prominent component of this group was Haemophilus parainfluenzae. Differences highlighted by 454 sequencing were confirmed by high-resolution PhyloChip analysis. Using supervised learning techniques, we were able to classify different subtypes of IBS with a success rate of 98.5%, using limited sets of discriminant bacterial species. A novel Ruminococcus-like microbe was associated with IBS, indicating the potential utility of microbe discovery for gastrointestinal disorders. A greater frequency of pain correlated with an increased abundance of several bacterial taxa from the genus Alistipes. CONCLUSIONS Using 16S metagenomics by PhyloChip DNA hybridization and deep 454 pyrosequencing, we associated specific microbiome signatures with pediatric IBS. These findings indicate the important association between gastrointestinal microbes and IBS in children; these approaches might be used in diagnosis of functional bowel disorders in pediatric patients.

A Metagenomic Approach to Characterization of the Vaginal Microbiome Signature in Pregnancy

While current major national research efforts (i.e., the NIH Human Microbiome Project) will enable comprehensive metagenomic characterization of the adult human microbiota, how and when these diverse microbial communities take up residence in the host and during reproductive life are unexplored at a population level. Because microbial abundance and diversity might differ in pregnancy, we sought to generate comparative metagenomic signatures across gestational age strata. DNA was isolated from the vagina (introitus, posterior fornix, midvagina) and the V5V3 region of bacterial 16S rRNA genes were sequenced (454FLX Titanium platform). Sixty-eight samples from 24 healthy gravidae (18 to 40 confirmed weeks) were compared with 301 non-pregnant controls (60 subjects). Generated sequence data were quality filtered, taxonomically binned, normalized, and organized by phylogeny and into operational taxonomic units (OTU); principal coordinates analysis (PCoA) of the resultant beta diversity measures were used for visualization and analysis in association with sample clinical metadata. Altogether, 1.4 gigabytes of data containing >2.5 million reads (averaging 6,837 sequences/sample of 493 nt in length) were generated for computational analyses. Although gravidae were not excluded by virtue of a posterior fornix pH >4.5 at the time of screening, unique vaginal microbiome signature encompassing several specific OTUs and higher-level clades was nevertheless observed and confirmed using a combination of phylogenetic, non-phylogenetic, supervised, and unsupervised approaches. Both overall diversity and richness were reduced in pregnancy, with dominance of Lactobacillus species (L. iners crispatus, jensenii and johnsonii, and the orders Lactobacillales (and Lactobacillaceae family), Clostridiales, Bacteroidales, and Actinomycetales. This intergroup comparison using rigorous standardized sampling protocols and analytical methodologies provides robust initial evidence that the vaginal microbial 16S rRNA gene catalogue uniquely differs in pregnancy, with variance of taxa across vaginal subsite and gestational age.

Host Response to Probiotics Determined by Nutritional Status of Rotavirus-infected Neonatal Mice

Objectives: Beneficial microbes and probiotics are promising agents for the prevention and treatment of enteric and diarrheal diseases in children; however, little is known about their in vivo mechanisms of action. We used a neonatal mouse model of rotavirus diarrhea to gain insight into how probiotics ameliorate acute gastroenteritis. Methods: Rotavirus-infected mice were treated with 1 of 2 strains of human-derived Lactobacillus reuteri. We assessed intestinal microbiome composition with 16S metagenomic sequencing, enterocyte migration and proliferation with 5-bromo-2′-deoxyuridine, and antibody and cytokine concentrations with multiplex analyses of intestinal explant cultures. Results: Probiotics reduced diarrhea duration, improved intestinal histopathology, and enhanced intestinal microbiome richness and phylogenetic diversity. The magnitude of reduction of diarrhea by probiotics was strain specific and influenced by nutritional status. L reuteri DSM 17938 reduced diarrhea duration by 0, 1, and 2 days in underweight, normal weight, and overweight pups, respectively. The magnitude of reduction of diarrhea duration correlated with increased enterocyte proliferation and migration. Strain ATCC PTA 6475 reduced diarrhea duration by 1 day in all of the mice without increasing enterocyte proliferation. Both probiotic strains decreased concentrations of proinflammatory cytokines, including macrophage inflammatory protein-1&agr; and interleukin-1&bgr;, in all of the animals, and increased rotavirus-specific antibodies in all but the underweight animals. Body weight also influenced the host response to rotavirus, in terms of diarrhea duration, enterocyte turnover, and antibody production. Conclusions: These data suggest that probiotic enhancement of enterocyte proliferation, villus repopulation, and virus-specific antibodies may contribute to diarrhea resolution, and that nutritional status influences the host response to both beneficial microbes and pathogens.

The Genboree Microbiome Toolset and the analysis of 16S rRNA microbial sequences

BackgroundMicrobial metagenomic analyses rely on an increasing number of publicly available tools. Installation, integration, and maintenance of the tools poses significant burden on many researchers and creates a barrier to adoption of microbiome analysis, particularly in translational settings.MethodsTo address this need we have integrated a rich collection of microbiome analysis tools into the Genboree Microbiome Toolset and exposed them to the scientific community using the Software-as-a-Service model via the Genboree Workbench. The Genboree Microbiome Toolset provides an interactive environment for users at all bioinformatic experience levels in which to conduct microbiome analysis. The Toolset drives hypothesis generation by providing a wide range of analyses including alpha diversity and beta diversity, phylogenetic profiling, supervised machine learning, and feature selection.ResultsWe validate the Toolset in two studies of the gut microbiota, one involving obese and lean twins, and the other involving children suffering from the irritable bowel syndrome.ConclusionsBy lowering the barrier to performing a comprehensive set of microbiome analyses, the Toolset empowers investigators to translate high-volume sequencing data into valuable biomedical discoveries.

ClinGen Pathogenicity Calculator: a configurable system for assessing pathogenicity of genetic variants

BackgroundThe success of the clinical use of sequencing based tests (from single gene to genomes) depends on the accuracy and consistency of variant interpretation. Aiming to improve the interpretation process through practice guidelines, the American College of Medical Genetics and Genomics (ACMG) and the Association for Molecular Pathology (AMP) have published standards and guidelines for the interpretation of sequence variants. However, manual application of the guidelines is tedious and prone to human error. Web-based tools and software systems may not only address this problem but also document reasoning and supporting evidence, thus enabling transparency of evidence-based reasoning and resolution of discordant interpretations.ResultsIn this report, we describe the design, implementation, and initial testing of the Clinical Genome Resource (ClinGen) Pathogenicity Calculator, a configurable system and web service for the assessment of pathogenicity of Mendelian germline sequence variants. The system allows users to enter the applicable ACMG/AMP-style evidence tags for a specific allele with links to supporting data for each tag and generate guideline-based pathogenicity assessment for the allele. Through automation and comprehensive documentation of evidence codes, the system facilitates more accurate application of the ACMG/AMP guidelines, improves standardization in variant classification, and facilitates collaborative resolution of discordances. The rules of reasoning are configurable with gene-specific or disease-specific guideline variations (e.g. cardiomyopathy-specific frequency thresholds and functional assays). The software is modular, equipped with robust application program interfaces (APIs), and available under a free open source license and as a cloud-hosted web service, thus facilitating both stand-alone use and integration with existing variant curation and interpretation systems. The Pathogenicity Calculator is accessible at http://calculator.clinicalgenome.org.ConclusionsBy enabling evidence-based reasoning about the pathogenicity of genetic variants and by documenting supporting evidence, the Calculator contributes toward the creation of a knowledge commons and more accurate interpretation of sequence variants in research and clinical care.

MRG15 is required for pre-mRNA splicing and spermatogenesis

Significance Pre-mRNA splicing generates protein diversity, is involved in the regulation of cellular differentiation, and can be epigenetically regulated by histone modifications. Chromatin binding proteins, which recognize histone modifications, recruit splicing regulators to methylated histones around tissue-specific splicing regions and regulate pre-mRNA splicing. However, the interplay of epigenetic factors and the splicing machinery during spermatogenesis remains unclear. Here, we show that epigenetic regulation of pre-mRNA splicing is required for spermatogenesis and male fertility. Thus, novel splicing diversity is important for spermatogenesis, and defects in this system may trigger disease. Splicing can be epigenetically regulated and involved in cellular differentiation in somatic cells, but the interplay of epigenetic factors and the splicing machinery during spermatogenesis remains unclear. To study these interactions in vivo, we generated a germline deletion of MORF-related gene on chromosome 15 (MRG15), a multifunctional chromatin organizer that binds to methylated histone H3 lysine 36 (H3K36) in introns of transcriptionally active genes and has been implicated in regulation of histone acetylation, homology-directed DNA repair, and alternative splicing in somatic cells. Conditional KO (cKO) males lacking MRG15 in the germline are sterile secondary to spermatogenic arrest at the round spermatid stage. There were no significant alterations in meiotic division and histone acetylation. Specific mRNA sequences disappeared from 66 germ cell-expressed genes in the absence of MRG15, and specific intronic sequences were retained in mRNAs of 4 genes in the MRG15 cKO testes. In particular, introns were retained in mRNAs encoding the transition proteins that replace histones during sperm chromatin condensation. In round spermatids, MRG15 colocalizes with splicing factors PTBP1 and PTBP2 at H3K36me3 sites between the exons and single intron of transition nuclear protein 2 (Tnp2). Thus, our results reveal that MRG15 is essential for pre-mRNA splicing during spermatogenesis and that epigenetic regulation of pre-mRNA splicing by histone modification could be useful to understand not only spermatogenesis but also, epigenetic disorders underlying male infertile patients.

Abstract 800: Simultaneous methylation and mutational analysis of breast cancer genomes using droplet-based targeted sequencing.

Targeted sequencing using droplet-based PCR provides an established method to selectively and uniformly amplify thousands of genomic regions of interest for deep, cost-effective next generation sequencing. Recently, this approach has been adapted for the analysis of bisulfite-treated DNA, enabling both quantitative epigenomic analysis (strand-specific determination of cytosine methylation status with single-base pair resolution) and genomic mutation detection. Simultaneous collection of both methylation and genomic aberration information with a single method makes efficient use of precious clinical material and allows both researchers and clinicians to use this information to sub-type cancers. Here we report on our sequencing results using a single breast cancer targeted panel for sequence specific analysis of both epigenomic methylation and genomic mutation in breast tumor samples. The Breast Cancer MethylSeq Panel includes PCR primer pairs designed to amplify 1000 targets, leaving room for an additional 3000 target loci of interest to be added by individual researchers in the future. This single panel provides information about both loci-specific CpG methylation and genomic mutations, enabling analysis of multiple content types including: A) cell subtype (CELL); B) genomic mutation (MUT); C) surrogate gene expression subtypes using promoter CpG islands or other methylation marks (EXP); D) copy-number variation (CNV); E) Loss of Heterozygosity (LOH); and F) methylation-mediated gene silencing and loss of imprinting (IMP). In addition, miRNA associated with breast cancer will be targeted for analysis (MIR). The Breast Cancer MethylSeq Panel was tested and validated with a set of 64 bisulfite-converted DNA samples that included breast cancer cell lines, a range of ER positive and negative tumors and TCGA samples, and a set of 8 metastatic tumors from a single individual. Overall Illumina HiSeq sequencing success metrics, concordance with metadata on the various target classes (A-F above) using validated controls, and results from the patient samples will be presented. The Breast Cancer MethylSeq Panel allows simultaneous analysis of epigenomic and genomic sequence alterations associated with breast tumor samples, enabling tumor sub-typing and correlation with clinical outcomes. This ‘core’ panel provides a unique (expandable) screening tool for the breast cancer research community, and a paradigm for efficient analysis of multiple endpoints from a single assay for other diseases. Citation Format: Michael L. Samuels, Matt Roth, Preethi Srinivasan, Kevin Riehle, Adam Brufsky, Ryan Hartmaier, David Boone, R. Alan Harris, Chia-Chin Wu, Steffi Oesterreich, Adrian Lee, Aleksandar Milosavljevic. Simultaneous methylation and mutational analysis of breast cancer genomes using droplet-based targeted sequencing. [abstract]. In: Proceedings of the 104th Annual Meeting of the American Association for Cancer Research; 2013 Apr 6-10; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2013;73(8 Suppl):Abstract nr 800. doi:10.1158/1538-7445.AM2013-800