Elizabeth A. Grice

Topographical and temporal diversity of the human skin microbiome.

The Close and Personal Biome Fortunately, our skin is readily accessible for ecological studies of the microbial communities that influence health and disease states. Grice et al. (p. 1190) present a metagenomic survey of body sites from 10 healthy human individuals sampled over time. Although, altogether 18 phyla were discovered, only a few predominated. The most diverse communities were found on the forearm and the least behind the ear, but between people the microorganisms living behind the knees, in the elbow, and behind the ear were most similar. This finding might have some bearing on the common occurrence of atopic dermatitis in these zones, although no similar relationship was discerned between skin microbial flora and psoriasis. The human skin provides a landscape of dry, damp, and greasy niches for a diversity of symbiotic microorganisms. 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.

The skin microbiome

The skin is the human bodys 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.

Temporal shifts in the skin microbiome associated with disease flares and treatment in children with atopic dermatitis

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.

A common sex-dependent mutation in a RET enhancer underlies Hirschsprung disease risk.

The identification of common variants that contribute to the genesis of human inherited disorders remains a significant challenge. Hirschsprung disease (HSCR) is a multifactorial, non-mendelian disorder in which rare high-penetrance coding sequence mutations in the receptor tyrosine kinase RET contribute to risk in combination with mutations at other genes. We have used family-based association studies to identify a disease interval, and integrated this with comparative and functional genomic analysis to prioritize conserved and functional elements within which mutations can be sought. We now show that a common non-coding RET variant within a conserved enhancer-like sequence in intron 1 is significantly associated with HSCR susceptibility and makes a 20-fold greater contribution to risk than rare alleles do. This mutation reduces in vitro enhancer activity markedly, has low penetrance, has different genetic effects in males and females, and explains several features of the complex inheritance pattern of HSCR. Thus, common low-penetrance variants, identified by association studies, can underlie both common and rare diseases.

Evaluating the biological relevance of putative enhancers using Tol2 transposon-mediated transgenesis in zebrafish

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.

The Human Microbiome: Our Second Genome*

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.

Longitudinal shift in diabetic wound microbiota correlates with prolonged skin defense response

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 (Leprdb/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.

The Neuropathic Diabetic Foot Ulcer Microbiome Is Associated With Clinical Factors

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.

Interaction of the Microbiome with the Innate Immune Response in Chronic Wounds

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.

Complement modulates the cutaneous microbiome and inflammatory milieu

Significance Healthy skin is colonized by a diversity of microbiota. Little is known regarding how the host immune response influences the skin microbiota. We demonstrate a role for complement, a key component of innate immunity, in host–microbe interactions of the skin. Inhibiting a key component of the complement cascade reduced diversity and altered composition of the skin microbiota, parallel to a reduction in skin inflammatory cell infiltration and downregulation of skin defense and immune gene expression. Further, we find that the commensal skin microbiota regulates the expression of complement genes in the skin. These results suggest an interactive role between complement and the microbial ecosystem of the skin and could have important implications for inflammatory and/or infectious skin disorders. The skin is colonized by a plethora of microbes that include commensals and potential pathogens, but it is currently unknown how cutaneous host immune mechanisms influence the composition, diversity, and quantity of the skin microbiota. Here we reveal an interactive role for complement in cutaneous host–microbiome interactions. Inhibiting signaling of the complement component C5a receptor (C5aR) altered the composition and diversity of the skin microbiota as revealed by deep sequencing of the bacterial 16S rRNA gene. In parallel, we demonstrate that C5aR inhibition results in down-regulation of genes encoding cutaneous antimicrobial peptides, pattern recognition receptors, and proinflammatory mediators. Immunohistochemistry of inflammatory cell infiltrates in the skin showed reduced numbers of macrophages and lymphocytes with C5aR inhibition. Further, comparing cutaneous gene expression in germ-free mice vs. conventionally raised mice suggests that the commensal microbiota regulates expression of complement genes in the skin. These findings demonstrate a component of host immunity that impacts colonization of the skin by the commensal microbiota and vice versa, a critical step toward understanding host–microbe immune mutualism of the skin and its implications for health and disease. Additionally, we reveal a role for complement in homeostatic host–microbiome interactions of the skin.