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ABSTRACT: Nonhealing diabetic foot ulcers (DFUs) are a common and costly complication of diabetes. Microbial burden, or "bioburden," is believed to underlie delayed healing, although little is known of those clinical factors that may influence microbial load, diversity, and/or pathogenicity. We profiled the microbiomes of neuropathic nonischemic DFUs without clinical evidence of infection in 52 individuals using high-throughput sequencing of the bacterial 16S ribosomal RNA gene. Comparatively, wound cultures, the standard diagnostic in the clinic, vastly underrepresent microbial load, microbial diversity, and the presence of potential pathogens. DFU microbiomes were heterogeneous, even in our tightly restricted study population, but partitioned into three clusters distinguished primarily by dominant bacteria and diversity. Ulcer depth was associated with ulcer cluster, positively correlated with abundance of anaerobic bacteria, and negatively correlated with abundance of Staphylococcus. Ulcer duration was positively correlated with bacterial diversity, species richness, and relative abundance of Proteobacteria, but was negatively correlated with relative abundance of Staphylococcus. Finally, poor glycemic control was associated with ulcer cluster, with poorest median glycemic control concentrating to Staphylococcus-rich and Streptococcus-rich ulcer clusters. Analyses of microbial community membership and structure may provide the most useful metrics in prospective studies to delineate problematic bioburden from benign colonization that can then be used to drive clinical treatment.
Diabetes 11/2012; · 8.29 Impact Factor
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ABSTRACT: The human genome has been referred to as the blueprint of human biology. In this review we consider an essential but largely ignored overlay to that blueprint, the human microbiome, which is composed of those microbes that live in and on our bodies. The human microbiome is a source of genetic diversity, a modifier of disease, an essential component of immunity, and a functional entity that influences metabolism and modulates drug interactions. Characterization and analysis of the human microbiome have been greatly catalyzed by advances in genomic technologies. We discuss how these technologies have shaped this emerging field of study and advanced our understanding of the human microbiome. We also identify future challenges, many of which are common to human genetic studies, and predict that in the future, analyzing genetic variation and risk of human disease will sometimes necessitate the integration of human and microbial genomic data sets.
Annual review of genomics and human genetics 06/2012; 13:151-70. · 11.57 Impact Factor
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Heidi H Kong,
Julia Oh,
Clay Deming,
Sean Conlan, Elizabeth A Grice,
Melony A Beatson,
Effie Nomicos,
Eric C Polley,
Hirsh D Komarow,
Patrick R Murray,
Maria L Turner,
Julia A Segre
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ABSTRACT: Atopic dermatitis (AD) has long been associated with Staphylococcus aureus skin colonization or infection and is typically managed with regimens that include antimicrobial therapies. However, the role of microbial communities in the pathogenesis of AD is incompletely characterized. To assess the relationship between skin microbiota and disease progression, 16S ribosomal RNA bacterial gene sequencing was performed on DNA obtained directly from serial skin sampling of children with AD. The composition of bacterial communities was analyzed during AD disease states to identify characteristics associated with AD flares and improvement post-treatment. We found that microbial community structures at sites of disease predilection were dramatically different in AD patients compared with controls. Microbial diversity during AD flares was dependent on the presence or absence of recent AD treatments, with even intermittent treatment linked to greater bacterial diversity than no recent treatment. Treatment-associated changes in skin bacterial diversity suggest that AD treatments diversify skin bacteria preceding improvements in disease activity. In AD, the proportion of Staphylococcus sequences, particularly S. aureus, was greater during disease flares than at baseline or post-treatment, and correlated with worsened disease severity. Representation of the skin commensal S. epidermidis also significantly increased during flares. Increases in Streptococcus, Propionibacterium, and Corynebacterium species were observed following therapy. These findings reveal linkages between microbial communities and inflammatory diseases such as AD, and demonstrate that as compared with culture-based studies, higher resolution examination of microbiota associated with human disease provides novel insights into global shifts of bacteria relevant to disease progression and treatment.
Genome Research 03/2012; 22(5):850-9. · 13.61 Impact Factor
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ABSTRACT: Microbes colonizing and/or infecting chronic wounds undoubtedly play a major and interactive role in impaired healing, especially in amplifying and perpetuating the host innate immune response. The development of molecular techniques to identify and quantify microbial organisms has revolutionized our view of the microbial world. These less-biased, high throughput methods greatly enable investigations regarding host-microbe interactions in the chronic wound environment. This review focuses on the mounting evidence implicating microbes and excessive inflammation in chronic wounds, as well as the challenges associated with understanding how microbes modulate wound healing and the innate immune response.
Advances in experimental medicine and biology 01/2012; 946:55-68. · 1.09 Impact Factor
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ABSTRACT: The skin is the human body's largest organ, colonized by a diverse milieu of microorganisms, most of which are harmless or even beneficial to their host. Colonization is driven by the ecology of the skin surface, which is highly variable depending on topographical location, endogenous host factors and exogenous environmental factors. The cutaneous innate and adaptive immune responses can modulate the skin microbiota, but the microbiota also functions in educating the immune system. The development of molecular methods to identify microorganisms has led to an emerging view of the resident skin bacteria as highly diverse and variable. An enhanced understanding of the skin microbiome is necessary to gain insight into microbial involvement in human skin disorders and to enable novel promicrobial and antimicrobial therapeutic approaches for their treatment.
Nature Reviews Microbiology 04/2011; 9(4):244-53. · 21.18 Impact Factor
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ABSTRACT: Diabetics frequently suffer from chronic, nonhealing wounds. Although bacterial colonization and/or infection are generally acknowledged to negatively impact wound healing, the precise relationship between the microbial community and impaired wound healing remains unclear. Because the host cutaneous defense response is proposed to play a key role in modulating microbial colonization, we longitudinally examined the diabetic wound microbiome in tandem with host tissue gene expression. By sequencing 16S ribosomal RNA genes, we show that a longitudinal selective shift in wound microbiota coincides with impaired healing in diabetic mice (Lepr(db/db); db/db). We demonstrate a parallel shift in longitudinal gene expression that occurs in a cluster of genes related to the immune response. Further, we establish a correlation between relative abundance of Staphylococcus spp. and the expression of cutaneous defense response genes. Our data demonstrate that integrating two types of global datasets lends a better understanding to the dynamics governing host-microbe interactions.
Proceedings of the National Academy of Sciences 08/2010; 107(33):14799-804. · 9.68 Impact Factor
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Eileen Sproat Emison,
Merce Garcia-Barcelo, Elizabeth A Grice,
Francesca Lantieri,
Jeanne Amiel,
Grzegorz Burzynski,
Raquel M Fernandez,
Li Hao,
Carl Kashuk,
Kristen West, [......],
Anne-Sophie Jannot,
Loic de Pontual,
Alexandra Henrion-Caude,
Stanislas Lyonnet,
Joke B G M Verheij,
Robert M W Hofstra,
Guillermo Antiñolo,
Salud Borrego,
Andrew S McCallion,
Aravinda Chakravarti
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ABSTRACT: The major gene for Hirschsprung disease (HSCR) encodes the receptor tyrosine kinase RET. In a study of 690 European- and 192 Chinese-descent probands and their parents or controls, we demonstrate the ubiquity of a >4-fold susceptibility from a C-->T allele (rs2435357: p = 3.9 x 10(-43) in European ancestry; p = 1.1 x 10(-21) in Chinese samples) that probably arose once within the intronic RET enhancer MCS+9.7. With in vitro assays, we now show that the T variant disrupts a SOX10 binding site within MCS+9.7 that compromises RET transactivation. The T allele, with a control frequency of 20%-30%/47% and case frequency of 54%-62%/88% in European/Chinese-ancestry individuals, is involved in all forms of HSCR. It is marginally associated with proband gender (p = 0.13) and significantly so with length of aganglionosis (p = 7.6 x 10(-5)) and familiality (p = 6.2 x 10(-4)). The enhancer variant is more frequent in the common forms of male, short-segment, and simplex families whereas multiple, rare, coding mutations are the norm in the less common and more severe forms of female, long-segment, and multiplex families. The T variant also increases penetrance in patients with rare RET coding mutations. Thus, both rare and common mutations, individually and together, make contributions to the risk of HSCR. The distribution of RET variants in diverse HSCR patients suggests a "cellular-recessive" genetic model where both RET alleles' function is compromised. The RET allelic series, and its genotype-phenotype correlations, shows that success in variant identification in complex disorders may strongly depend on which patients are studied.
The American Journal of Human Genetics 07/2010; 87(1):60-74. · 10.60 Impact Factor
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Elizabeth A Grice,
Heidi H Kong,
Sean Conlan,
Clayton B Deming,
Joie Davis,
Alice C Young,
Gerard G Bouffard,
Robert W Blakesley,
Patrick R Murray,
Eric D Green,
Maria L Turner,
Julia A Segre
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ABSTRACT: Human skin is a large, heterogeneous organ that protects the body from pathogens while sustaining microorganisms that influence human health and disease. Our analysis of 16S ribosomal RNA gene sequences obtained from 20 distinct skin sites of healthy humans revealed that physiologically comparable sites harbor similar bacterial communities. The complexity and stability of the microbial community are dependent on the specific characteristics of the skin site. This topographical and temporal survey provides a baseline for studies that examine the role of bacterial communities in disease states and the microbial interdependencies required to maintain healthy skin.
Science 06/2009; 324(5931):1190-2. · 31.20 Impact Factor
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ABSTRACT: Suppressor of tumorigenicity 14 (St14) encodes matriptase, a serine protease, which regulates processing of profilaggrin to filaggin in vivo. Here, we report that transgenic mice with 1% of wild-type St14 levels (St14(hypo/-)) display aberrant processing of profilaggrin and model human ichthyotic skin phenotypes. Scaling of the skin appears at 1 week of age with underlying epidermal acanthosis and orthohyperkeratosis as well as a CD4+ T-cell dermal infiltrate. Upregulation of antimicrobial peptides occurs when challenged by exposure to the postnatal environment. Direct genomic sequencing of bacterial 16S rRNA genes to query microbial diversity identifies a significant shift in both phylogeny and community structure between St14(hypo/-) mice and control littermates. St14(hypo/-) mice have a selective shift in resident skin microbiota with a decrease of the dominant genus of skin bacteria, Pseudomonas and an accompanying increase of Corynebacterium and Streptococcus. St14(hypo/-) mice provide early evidence that the cutaneous microbiome can be specifically altered by genetic state, which may play an important role in modulating skin disease.
Journal of Investigative Dermatology 05/2009; 129(10):2435-42. · 6.31 Impact Factor
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ABSTRACT: The many layers and structures of the skin serve as elaborate hosts to microbes, including a diversity of commensal and pathogenic bacteria that contribute to both human health and disease. To determine the complexity and identity of the microbes inhabiting the skin, we sequenced bacterial 16S small-subunit ribosomal RNA genes isolated from the inner elbow of five healthy human subjects. This analysis revealed 113 operational taxonomic units (OTUs; "phylotypes") at the level of 97% similarity that belong to six bacterial divisions. To survey all depths of the skin, we sampled using three methods: swab, scrape, and punch biopsy. Proteobacteria dominated the skin microbiota at all depths of sampling. Interpersonal variation is approximately equal to intrapersonal variation when considering bacterial community membership and structure. Finally, we report strong similarities in the complexity and identity of mouse and human skin microbiota. This study of healthy human skin microbiota will serve to direct future research addressing the role of skin microbiota in health and disease, and metagenomic projects addressing the complex physiological interactions between the skin and the microbes that inhabit this environment.
Genome Research 08/2008; 18(7):1043-50. · 13.61 Impact Factor
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ABSTRACT: Evolutionary sequence conservation is an accepted criterion to identify noncoding regulatory sequences. We have used a transposon-based transgenic assay in zebrafish to evaluate noncoding sequences at the zebrafish ret locus, conserved among teleosts, and at the human RET locus, conserved among mammals. Most teleost sequences directed ret-specific reporter gene expression, with many displaying overlapping regulatory control. The majority of human RET noncoding sequences also directed ret-specific expression in zebrafish. Thus, vast amounts of functional sequence information may exist that would not be detected by sequence similarity approaches.
Science 05/2006; 312(5771):276-9. · 31.20 Impact Factor
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ABSTRACT: Evaluating the biological relevance of the myriad putative regulatory noncoding sequences in vertebrate genomes represents a huge challenge. Functional analyses in vivo have typically relied on costly and labor-intensive transgenic strategies in mice. Transgenesis has also been applied in nonrodent vertebrates, such as zebrafish, but until recently these efforts have been hampered by significant mosaicism and poor rates of germline transmission. We have developed a transgenic strategy in zebrafish based on the Tol2 transposon, a mobile element that was recently identified in another teleost, Medaka. This method takes advantage of the increased efficiency of genome integration that is afforded by this intact DNA transposon, activity that is mediated by the corresponding transposase protein. The approach described in this protocol uses a universal vector system that permits rapid incorporation of DNA that is tagged with sequence targets for site-specific recombination. To evaluate the regulatory potential of a candidate sequence, the desired interval is PCR-amplified using sequence-specific primers that are flanked by the requisite target sites for cloning, and recombined into a universal expression plasmid (pGW_cfosEGFP). Purified recombinant DNAs are then injected into 1-2-cell zebrafish embryos and the resulting reporter expression patterns are analyzed at desired timepoints during development. This system is amenable to large-scale application, facilitating rapid functional analysis of noncoding sequences from both mammalian and teleost species.
Nature Protocol 02/2006; 1(3):1297-305. · 8.36 Impact Factor
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ABSTRACT: Evolutionary sequence conservation is now a relatively common approach for the prediction of functional DNA sequences. However, the fraction of conserved non-coding sequences with regulatory potential is still unknown. In this study, we focus on elucidating the regulatory landscape of RET, a crucial developmental gene within which we have recently identified a regulatory Hirschsprung disease (HSCR) susceptibility variant. We report a systematic examination of conserved non-coding sequences (n=45) identified in a 220 kb interval encompassing RET. We demonstrate that most of these conserved elements are capable of enhancer or suppressor activity in vitro, and the majority of the elements exert cell type-dependent control. We show that discrete sequences within regulatory elements can bind nuclear protein in a cell type-dependent manner that is consistent with their identified in vitro regulatory control. Finally, we focused our attention on the enhancer implicated in HSCR to demonstrate that this element drives reporter expression in cell populations of the excretory system and central nervous system (CNS) and peripheral nervous system (PNS), consistent with expression of the endogenous RET protein. Importantly, this sequence also modulates expression in the enteric nervous system consistent with its proposed role in HSCR.
Human Molecular Genetics 01/2006; 14(24):3837-45. · 7.64 Impact Factor
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ABSTRACT: The ability to discriminate between deleterious and neutral amino acid substitutions in the genes of patients remains a significant challenge in human genetics. The increasing availability of genomic sequence data from multiple vertebrate species allows inclusion of sequence conservation and physicochemical properties of residues to be used for functional prediction. In this study, the RET receptor tyrosine kinase serves as a model disease gene in which a broad spectrum (> or = 116) of disease-associated mutations has been identified among patients with Hirschsprung disease and multiple endocrine neoplasia type 2. We report the alignment of the human RET protein sequence with the orthologous sequences of 12 non-human vertebrates (eight mammalian, one avian, and three teleost species), their comparative analysis, the evolutionary topology of the RET protein, and predicted tolerance for all published missense mutations. We show that, although evolutionary conservation alone provides significant information to predict the effect of a RET mutation, a model that combines comparative sequence data with analysis of physiochemical properties in a quantitative framework provides far greater accuracy. Although the ability to discern the impact of a mutation is imperfect, our analyses permit substantial discrimination between predicted functional classes of RET mutations and disease severity even for a multigenic disease such as Hirschsprung disease.
Proceedings of the National Academy of Sciences 06/2005; 102(25):8949-54. · 9.68 Impact Factor
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ABSTRACT: Molecular analysis of complex phenomena, such as selective death of photoreceptors and their rescue by neuro-protective agents, has been hindered by limitations of techniques for investigating gene expression in individual cells within a heterogeneous tissue such as the retina. The purpose of this study was to develop methods to assess gene expression in single retinal cells.
Individual cells from papain-dissociated mouse retinae were captured with micropipettes and identified by morphology and by immunocytochemistry. Single cell cDNA libraries were generated by poly-d(T)-primed reverse transcription, poly-d(A) tailing of first strand cDNA, and en masse PCR-amplification using a custom made oligo-d(T). PCR was used to investigate gene expression in cDNAs from individual cells.
Dissociated rod and Müller glia cells maintained their morphology, which correlated with their immunocytochemical properties. RPE cells were recognized by their pigmentation. With the exception of bipolar cells, non-photoreceptor neurons were only identifiable by immunocytochemistry. Abundant cDNA could be synthesized from each individual cell. Cell-specific "markers" were detected by PCR almost exclusively in the predicted cell types. The expression of neurotrophic factor receptors was consistent with previous biological studies.
These studies establish a method to compare, investigate, and analyze gene expression in individual cells of the retina.
Molecular vision 07/2004; 10:366-75. · 2.20 Impact Factor
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