A core microbiome associated with the peritoneal tumors of pseudomyxoma peritonei
© Gilbreath et al.; licensee BioMed Central Ltd. 2013
Received: 5 April 2013
Accepted: 3 July 2013
Published: 12 July 2013
Pseudomyxoma peritonei (PMP) is a malignancy characterized by dissemination of mucus-secreting cells throughout the peritoneum. This disease is associated with significant morbidity and mortality and despite effective treatment options for early-stage disease, patients with PMP often relapse. Thus, there is a need for additional treatment options to reduce relapse rate and increase long-term survival. A previous study identified the presence of both typed and non-culturable bacteria associated with PMP tissue and determined that increased bacterial density was associated with more severe disease. These findings highlighted the possible role for bacteria in PMP disease.
To more clearly define the bacterial communities associated with PMP disease, we employed a sequenced-based analysis to profile the bacterial populations found in PMP tumor and mucin tissue in 11 patients. Sequencing data were confirmed by in situ hybridization at multiple taxonomic depths and by culturing. A pilot clinical study was initiated to determine whether the addition of antibiotic therapy affected PMP patient outcome.
We determined that the types of bacteria present are highly conserved in all PMP patients; the dominant phyla are the Proteobacteria, Actinobacteria, Firmicutes and Bacteroidetes. A core set of taxon-specific sequences were found in all 11 patients; many of these sequences were classified into taxonomic groups that also contain known human pathogens. In situ hybridization directly confirmed the presence of bacteria in PMP at multiple taxonomic depths and supported our sequence-based analysis. Furthermore, culturing of PMP tissue samples allowed us to isolate 11 different bacterial strains from eight independent patients, and in vitro analysis of subset of these isolates suggests that at least some of these strains may interact with the PMP-associated mucin MUC2. Finally, we provide evidence suggesting that targeting these bacteria with antibiotic treatment may increase the survival of PMP patients.
Using 16S amplicon-based sequencing, direct in situ hybridization analysis and culturing methods, we have identified numerous bacterial taxa that are consistently present in all PMP patients tested. Combined with data from a pilot clinical study, these data support the hypothesis that adding antimicrobials to the standard PMP treatment could improve PMP patient survival.
Pseudomyxoma peritonei (PMP) is a clinical syndrome characterized by the dissemination of mucus-secreting tumors throughout the peritoneal cavity [1–3]. This rare but devastating condition usually arises after rupture of a mucin-producing appendiceal neoplasm and is associated with significant morbidity. Mortality usually results from diffuse spread of mucin within the peritoneum and mechanical obstruction of the intestines. PMP is generally classified into two major categories: diffuse peritoneal adenomucinosis (DPAM) and peritoneal mucinous adenocarcinoma (PMCA) [3–5]. DPAM is the lower grade of PMP disease and refers to an indolent tumor form without cellular atypia and with no invasive features. In contrast, PMCA is characterized by severe cellular atypia, poor histologic cellular differentiation and tissue invasion. When proper treatment is given in a timely manner, the prognosis for patients with DPAM can be good (five year survival rate of ~75%); however, patients with the more severe PMCA do not fare as well (five year survival rate of ~14%) . Current therapeutic strategies consist of macroscopic tumor and mucin removal by cytoreductive surgery followed by hyperthermic intraperitoneal chemotherapy [3, 5, 7, 8]. However, despite aggressive treatment, the disease frequently relapses and the ten year survival is only 32% [1, 9, 10]. As such, there is a great need for ways to improve long-term patient outcome.
Within the past several years, it has become increasingly clear that the microbial communities in and on the human body have a far-reaching impact on human physiology and serve to maintain the balance between health and disease states [11–21]. More recently these interactions have been linked to human cancers [12, 17] and have even led researchers to identify particular bacterial taxa that are enriched in tumor environments compared to surrounding tissue [12, 17]. These insights not only provide novel information about tumor development and subsequent disease progression, but also highlight potential treatment options for these cancers. Using probes designed to recognize both typed and non-culturable bacteria (TNCB), as well as the known bacterial carcinogen Helicobacter pylori, a recent study observed that there are numerous types of bacteria, which are associated with the PMP tumors and secreted mucin within the normally sterile peritoneal cavity . In PMP tissue, the density of TNCB and H. pylori was highest in the more malignant form of PMP; however, the identity of these TNCB was not determined. Taken together, those results suggested that PMP disease progression may be associated with the presence of bacteria within the peritoneum.
We hypothesize that bacteria play a role in the progression or maintenance of PMP disease. In the current study, we utilized high-throughput sequencing of amplicons from the V6 hyper-variable region of the 16S ribosomal RNA (rRNA) gene to characterize the bacterial communities associated with tumors and secreted mucin in 11 PMP patients. We identified a highly conserved core group of bacterial taxa that were found in all patients. The core community membership was consistent across all patients tested, although the relative abundance of these bacteria varied from patient to patient. Specific DNA probes and in situ hybridization (ISH) was used to directly detect PMP community members across a range of taxonomic depths. Furthermore, multiple bacterial isolates were obtained by culturing PMP tissue samples under microaerophilic conditions; some of these isolates interact with the PMP-associated mucin MUC2 as well as host cells in vitro. Based on these and previous findings , we initiated a pilot clinical study to evaluate the possibility of using antibiotic therapy to target these bacterial communities in the treatment of PMP. Consistent with the hypothesis that these bacteria play a role in PMP disease, our preliminary clinical findings suggest that treating PMP patients with antibiotics early in disease progression may increase long-term survival.
This study utilized stored PMP patient specimens that were collected peri-operatively at Mercy Medical Center in Baltimore, MD. Tissue was aseptically collected in a sterile surgical suite and stored at −80°C until the samples were ready to process. Free mucin was collected from the peritoneal cavity, and tumor tissue was biopsied from the peritoneal wall; by following these guidelines, the two sample types are visually distinguishable from one another. All procedures were approved by the IRB at all centers involved in this study. Written informed consent was obtained from all patients prior to enrollment in the study.
The study was in compliance with the Helsinki Declaration and was approved by the Institutional Review Boards of the Mercy Medical Center and the Uniformed Services University of the Health Sciences. Written informed consent was obtained from all patients before study entry.
DNA extraction, V6 PCR and sequencing
Total genomic DNA was isolated from PMP tissue specimens and stored at -80C. Between 100-200 ng of genomic DNA was used as template for PCR with a combination of V6-specific primers as previously described [22, 23]. The products of 2–3 amplifications from each sample were gel purified and pooled. For each set of amplifications, a no template control was included to ensure that amplification was not the result of DNA contamination. Additionally, reagents used for DNA elution were tested for contaminating bacterial DNA by PCR. Pooled amplicons were barcoded, combined into a multiplexed sample and sequenced on an Illumina HiSeq2000 at the Tufts University Core Facility. Raw reads were de-multiplexed, filtered for quality and barcodes/adapters were removed using Galaxy .
V6 sequence processing and analysis
All subsequent sequence analyses were performed using mothur . To simplify the dataset, each sample was randomly sub-sampled to a depth of 100,000 reads per sample. Sequences were aligned to a V6-specific, curated database  derived from the full-length SILVA alignment distributed with mothur. The alignment was screened to remove sequences that were shorter than 56 bp or greater than 72 bp in length as well as any sequences that contained an ambiguous base call or homopolymer runs of >4 bp. The resulting alignment was then filtered to remove any columns that contained missing information. Reads were pre-clustered so that any sequences that contained a single base pair difference were considered to be the same. Pre-clustered reads were classified using the mothur implementation of the RDP Bayesian classifier  using a cutoff of 60% bootstrap support over 100 iterations. Sequences that were classified as mitochondria, cyanobacteria, chloroplasts and sequences that were classified as “unknown,” or “unclassified” at the phylum level were removed from the dataset. The remaining aligned sequences were used to generate a pairwise distance matrix and clustered into operational taxonomic units (OTUs) using average-linkage clustering at an identity of 97%. OTUs were classified using the mothur implementation of the RDP classifier as described above. Prior to α- and β-diversity calculations the sequences from each sample were normalized based on the lowest number of OTUs found in any of the samples. As indicated by Good’s coverage estimate, this workflow provided ample sample coverage (range of coverage was 0.96 to 0.99, with a mean coverage of 0.976).
In situ hybridization (ISH) studies
ISH probes used in this study
Culturing and identification of bacterial isolates from PMP tissue
Aseptically collected surgical specimens were shipped overnight on ice to the LSU Health Sciences Center Shreveport. As H. pylori was previously identified in PMP tissue , initial culture conditions were chosen to be suitable for cultivating this organism. Upon receipt, amounts of material weighing up to 1 gram were placed in microcentrifuge tubes containing 2 mm zirconium oxide beads and homogenized for four minutes using a Bullet Blender (Next Advance, Inc., Averill Park, NY). Twenty-five to two hundred microliters of each homogenate was added to 25 cm2 tissue culture flasks containing 5 ml Ham’s F-12 Nutrient Mixture supplemented with 2% fetal bovine serum (fbs), 12.5 μg/ml nicotinamide adenine dinucleotide (NAD), and 3 μg/ml cytochalasin B. Cytochalasin B was used to inhibit phagocytosis of bacteria by macrophages. Flasks were incubated in microaerobic conditions, monitored daily for growth and sub-cultured once growth was observed. Each isolate was serially passaged multiple times until the culture was axenic. Full-length 16S rRNA gene sequences were PCR amplified using FideliTaq high fidelity polymerase (USB) and the 8F and 1492R primers; amplicons were sub-cloned into pGEM-T Easy (Promega). Cloned 16S rRNA genes were sequenced with 1492R and 907R primers. Sequences were classified using the web-based RDP Bayesian classifier (http://rdp.cme.msu.edu) and the RDP training set 9. Adherence assays were performed by co-culturing selected isolates with HT-29 cells, which produce the PMP-associated mucin MUC2. Interaction with MUC2 was detected by immunohistochemistry. Briefly, in vitro MUC2 production was detected using a polyclonal anti-MUC2 antibody; the MUC2::MUC2 antibody conjugates were detected using biotinylated anti-rabbit antibody and avidin-peroxidase. To ensure that the signal detected was specific to MUC2, we also performed control hybridizations with non-MUC2 secreting cells, as well as MUC2 secreting cells in the absence of bacteria.
Clinical trial study design
A pilot clinical study was initiated to evaluate the possible association between bacteria and the development of PMP disease and to determine the benefit of antibiotic treatment. Beginning in September of 2007, a group of 21 patients with PMP was treated with antibiotics in conjunction with the standard cyroreduction surgery and hyperthermic intraperitoneal chemotherapy treatment with mitomycin C. The treatment group was comprised of eight patients with DPAM, 11 with PMCA, one patient with both diagnoses and one patient with no available diagnosis. Patients were treated with Prevpac®, which includes 30 mg lansoprazole, 500 mg amoxicillin, and 500 mg clarithromycin; For each course of treatment, antibiotics were taken twice daily for 10–14 days. Lymph node status was determined by a pathologist at Mercy Medical Center, Baltimore, MD; positive lymph nodes were identified by the presence of cancer cells. Patient survival was compared using a log-rank statistical test.
Sequence analysis and identification of a core PMP Microbiome
A previous ISH-based study identified the presence of many typed and non-culturable bacteria in tissue samples taken from PMP tumors and secreted mucin . This study highlighted the possibility that these bacteria play a role in PMP disease progression; thus, these bacteria could be targeted with antibiotics as a novel, ancillary therapeutic option. In order to investigate the presence of these bacteria further, we collected paired tissue samples from 11 PMP patients (11 tumor and 11 mucin samples = 22 total) that had not been given antibiotic treatment, and used a V6-based analysis to profile the bacterial communities associated with both tumor and secreted mucin.
PMP core microbiome sequences classifiable at the genus level
Direct detection of selected members of the PMP microbiome
Isolation and identification of bacterial strains associated with PMP
Bacterial strains isolated from PMP tissue samples
Family and genus level classification
unclassified Chitinophagaceae (100), Niastella (70)
Bradyrhizobiaceae (100), Bosea (100)
Dermacoccaceae (100), Dermacoccus (100)
Propionibacteriaceae (100), Propionibacterium (100)
Propionibacteriaceae (100), Propionibacterium (100)
Pseudonocardiaceae (100), Amycolatopsis (100)
Propionibacteriaceae (100), Propionibacterium (100)
Propionibacteriaceae (100), Propionibacterium (100)
Corynebacteriaceae (100), Corynebacterium (100)
Propionibacteriaceae (100), Propionibacterium (100)
Corynebacteriaceae (100), Corynebacterium (100)
Antibiotic treatment efficacy
PMP is a rare but serious disease that results in significant morbidity and mortality. As patient outcome is frequently more negative once the disease progresses to the more severe form (PMCA), PMP is most effectively treated prior to this transition. However, despite early intervention, PMP patients experience frequent relapses and the long-term prognosis for PMP patients is dismal, with only ~30% surviving past 10 years. As such there is still a great need for novel or supplementary treatment options that will increase patient survival.
A previous study highlighted the fact that bacteria are present within the peritoneum of PMP patients, but not in the patients that did not have PMP . Because the peritoneum is typically considered to be sterile, this finding was pursued in greater detail. In the current study, we identified a core set of bacteria that are present in PMP tumor tissue and free mucin. The majority of the taxa present in this group were classified as Proteobacteria, and the overall profile of the core microbiome (Figure 3) reflects that of the individual samples (Figure 1). Across the 11 patients in our study, the major difference in the community structures was related to the relative abundance of bacterial taxa. These differences can be seen at both the phylum and lower taxonomic levels. Interestingly, the dominant phylum present was the Proteobacteria; while this group is commonly found in and on the human body [11, 13, 18, 19], virtually none of the healthy subject microbiomes described to date are dominated by this phylum. On the other hand, Proteobacteria are a dominant member of the respiratory tract microbiome associated with cystic fibrosis (CF) patients [20, 29, 30]. The abundance of Proteobacteria in both of these disease states is perhaps the result of similarities in the CF lung environment and PMP tissue in the peritoneum. In both CF and PMP, there is an abundance of mucin/mucus secretion, which may enrich for the Proteobacteria as well as some of the typically “environmental” bacteria found in our sequence-based study (Table 2 and Additional file 1: Table S1). While the possibility exists that these bacteria may directly utilize mucin or affect mucin secretion, currently the exact role of these bacteria in stimulating mucin production in this disease is unknown.
In addition to the dominance of the Proteobacterial phylum, the PMP core microbiome also shares some additional characteristics with that of CF airways. Specifically, there are several non-Proteobacterial genera that are present in both microbiomes. As shown in Table 2 and Additional file 1: Table S1, of those classifiable at the genus level, one of the more prevalent groups detected in our study was the Streptococcus sp. Members of this genus, which includes the S. milleri group (SMG), have been recently shown to be a prominent part of CF disease  and are known to be associated with several types of human disease [31–34]. Furthermore, other Streptococcus sp. have been shown to increase virulence of other bacterial pathogens such as P. aeruginosa, which could be found in PMP tissue given that members of the Pseudomonas genus were found in the PMP core microbiome (Table 2 and Additional file 1: Table S1). A previous study identified the carcinogenic bacterium H. pylori in PMP tissue samples and determined that the density of H. pylori correlated to PMP disease severity . Consistent with this study, we also detected the presence of Helicobacter sp. in the PMP core microbiome (Table 2 and Additional file 1: Table S1). While the precise role of these bacteria in PMP disease is unclear, H. pylori is known to induce a pro-inflammatory response  and secrete an oncogenic virulence factor  that may contribute to carcinogenesis and/or the maintenance of PMP disease. While our study design did not allow us to confidently make species level taxonomic classification, the presence of Streptococcus sp., Pseudomonas sp., Helicobacter sp. and other taxonomic groups that contain known human pathogens in the PMP core microbiome highlights the possibility that these bacteria play a role in PMP disease and certainly merits more detailed study.
One attractive feature of performing sequence-based bacterial community analyses is the ability to identify possible keystone taxonomic groups or species that are enriched in a particular body site or disease state. Recently, this feature was exploited to identify Fusobacterium sp. as being enriched in patients with colorectal cancer [12, 17]. However, unlike those studies, for our work, there did not appear to be any one bacterial type that was enriched in either of the two sampling sites (tumor and mucin), or in one disease state versus the other (DPAM vs PCMA). This finding perhaps suggests that it is the combination of many bacterial types present (i.e. the community structure) that is important in PMP rather than a single keystone species and highlights the importance of studying these organisms as a community in addition to studies focused on single bacterial types. However, we do note that as shown in Figure 1, there are particular taxa that are more abundant in some patients than others; as a result, we cannot completely rule out the possibility that the increased abundance of one particular taxon/species could have an effect on disease progression. As highlighted in recent study of colorectal cancer , it is possible that as our understanding of PMP-associated bacteria evolves, so will our understanding of the role of particular taxa in the disease.
In an effort to characterize PMP-associated organisms, we have begun to culture bacteria from PMP samples. To date, we have successfully cultured several organisms from multiple patients. Among those bacteria cultured (Table 3), the Propionibacterium sp. was isolated most frequently. Comparison of these 16S sequences to completed genomes in GenBank indicates that these Propionibacterium sp. are likely to be P. acnes. P. acnes is commonly found on human skin and has been implicated in several types of human diseases including endopthalmitis and bone infections. Interestingly, a recent ISH-based study found P. acnes in ~80% of cancerous prostates . In that study, the authors were also able to culture P. acnes from cancerous prostates and showed that incubation with this bacterium elicited a strong pro-inflammatory response in host cells , which may be a contributing factor to disease progression. The potential role for the other cultured isolates is less clear. However, in vitro experiments with the unclassified Chitinophagaceae isolate PMP191F indicate that this organism does interact with the PMP-associated mucin, MUC2 (Figure 5).
The presence of a consistent group of bacteria in all PMP patients brings to light one distinct possibility: if these bacteria do play a role in the maintenance of PMP disease or PMP progression, then treatments aimed at clearing this polymicrobial infection should improve patient outcome. We tested this hypothesis in a pilot clinical study using new patients as well as existing patient data. We found that treating PMP patients with a combination of antibiotics (Prevpac®) improved overall survival. While these pilot study findings are important in that they strongly suggest that antibiotics may be a viable supplementary treatment for PMP, additional patients need to be enrolled in a larger clinical study to confirm the positive effect of antibiotic treatment on PMP disease. Future work will focus on optimizing specimen transport and culture methods to increase the recovery of bacterial isolates from PMP tissue, and on developing an animal model of PMP, which will allow us to better understand the role of individual bacterial species in PMP disease. Once we have gained a more complete understanding of the role each bacterial taxon plays in PMP, antibiotic therapy could be tailored to target specific taxa in a particular patient.
The study presented herein characterized a previously unknown aspect of PMP: the PMP-associated microbiome. As a result of our sequence-based analysis, direct detection of bacterial taxa by ISH and culturing efforts, we have identified a possible novel avenue for treating this deadly disease. While these findings identify a conserved microbiome and show that antibiotic treatment extends patient survival, more work is needed to better understand the role of bacterial communities in PMP disease and the benefits gained from eliminating or reducing the load of these bacteria. Finally, this study also highlights the possibility that other diseases not currently known to be linked to the presence of bacteria may in fact be associated with bacterial infection.
During the writing of this manuscript, Drs. Andre Dubois and Cristina Semino-Mora passed away unexpectedly. Throughout their illness, they worked passionately on the PMP research. Their wisdom, generosity and expertise will be sorely missed by their colleagues and the research community. We would like to thank Megan Putnam and Michelle Sitting for their help in sample collection and organization, and Mitch Sogin and Andy Voorhis for help with preliminary sequence analysis and assistance with VAMPS. This work was supported by R0832L, which was funded by Uniformed Services University, as well as funding from the US Military Cancer Institute.
- Gough DB, Donohue JH, Schutt AJ, Gonchoroff N, Goellner JR, Wilson TO, Naessens JM, O’Brien PC, van Heerden JA: Pseudomyxoma peritonei. Long-term patient survival with an aggressive regional approach. Ann Surg. 1994, 219: 112-119. 10.1097/00000658-199402000-00002.PubMed CentralPubMedView ArticleGoogle Scholar
- O’Connell JT, Tomlinson JS, Roberts AA, McGonigle KF, Barsky SH: Pseudomyxoma peritonei is a disease of MUC2-expressing goblet cells. Am J Pathol. 2002, 161: 551-564. 10.1016/S0002-9440(10)64211-3.PubMed CentralPubMedView ArticleGoogle Scholar
- Ronnett BM, Zahn CM, Kurman RJ, Kass ME, Sugarbaker PH, Shmookler BM: Disseminated peritoneal adenomucinosis and peritoneal mucinous carcinomatosis. A clinicopathologic analysis of 109 cases with emphasis on distinguishing pathologic features, site of origin, prognosis, and relationship to “pseudomyxoma peritonei”. Am J Surg Pathol. 1995, 19: 1390-1408. 10.1097/00000478-199512000-00006.PubMedView ArticleGoogle Scholar
- Loungnarath R, Causeret S, Bossard N, Faheez M, Sayag-Beaujard AC, Brigand C, Gilly F, Glehen O: Cytoreductive surgery with intraperitoneal chemohyperthermia for the treatment of pseudomyxoma peritonei: a prospective study. Dis Colon Rectum. 2005, 48: 1372-1379. 10.1007/s10350-005-0045-5.PubMedView ArticleGoogle Scholar
- Loungnarath R, Causeret S, Brigand C, Gilly FN, Glehen O: [Pseudomyxoma peritonei: new concept and new therapeutic approach]. Ann Chir. 2005, 130: 63-69. 10.1016/j.anchir.2004.09.016.PubMedView ArticleGoogle Scholar
- Choudry HA, O’Malley ME, Guo ZS, Zeh HJ, Bartlett DL: Mucin as a therapeutic target in pseudomyxoma peritonei. J Surg Oncol. 2012, 106 (7): 911-917. 10.1002/jso.23146.PubMedView ArticleGoogle Scholar
- Shen P, Hawksworth J, Lovato J, Loggie BW, Geisinger KR, Fleming RA, Levine EA: Cytoreductive surgery and intraperitoneal hyperthermic chemotherapy with mitomycin C for peritoneal carcinomatosis from nonappendiceal colorectal carcinoma. Ann Surg Oncol. 2004, 11: 178-186. 10.1245/ASO.2004.05.009.PubMedView ArticleGoogle Scholar
- Witkamp AJ, de Bree E, Kaag MM, van Slooten GW, van Coevorden F, Zoetmulder FA: Extensive surgical cytoreduction and intraoperative hyperthermic intraperitoneal chemotherapy in patients with pseudomyxoma peritonei. Br J Surg. 2001, 88: 458-463. 10.1046/j.1365-2168.2001.01701.x.PubMedView ArticleGoogle Scholar
- Halabi HE, Gushchin V, Francis J, Athas N, Macdonald R, Nieroda C, Studeman K, Sardi A: Prognostic significance of lymph node metastases in patients with high-grade appendiceal cancer. Ann Surg Oncol. 2012, 19: 122-125. 10.1245/s10434-011-1903-0.PubMedView ArticleGoogle Scholar
- Semino-Mora C, Liu H, McAvoy T, Nieroda C, Studeman K, Sardi A, Dubois A: Pseudomyxoma peritonei: is disease progression related to microbial agents? A study of bacteria, MUC2 AND MUC5AC expression in disseminated peritoneal adenomucinosis and peritoneal mucinous carcinomatosis. Ann Surg Oncol. 2008, 15: 1414-1423. 10.1245/s10434-007-9778-9.PubMed CentralPubMedView ArticleGoogle Scholar
- Caporaso JG, Lauber CL, Costello EK, Berg-Lyons D, Gonzalez A, Stombaugh J, Knights D, Gajer P, Ravel J, Fierer N, et al.: Moving pictures of the human microbiome. Genome Biol. 2011, 12: R50-10.1186/gb-2011-12-5-r50.PubMed CentralPubMedView ArticleGoogle Scholar
- Castellarin M, Warren RL, Freeman JD, Dreolini L, Krzywinski M, Strauss J, Barnes R, Watson P, Allen-Vercoe E, Moore RA, Holt RA: Fusobacterium nucleatum infection is prevalent in human colorectal carcinoma. Genome Res. 2012, 22: 299-306. 10.1101/gr.126516.111.PubMed CentralPubMedView ArticleGoogle Scholar
- Costello EK, Lauber CL, Hamady M, Fierer N, Gordon JI, Knight R: Bacterial community variation in human body habitats across space and time. Science. 2009, 326: 1694-1697. 10.1126/science.1177486.PubMed CentralPubMedView ArticleGoogle Scholar
- Dethlefsen L, McFall-Ngai M, Relman DA: An ecological and evolutionary perspective on human-microbe mutualism and disease. Nature. 2007, 449: 811-818. 10.1038/nature06245.PubMedView ArticleGoogle Scholar
- Dethlefsen L, Relman DA: Incomplete recovery and individualized responses of the human distal gut microbiota to repeated antibiotic perturbation. Proc Natl Acad Sci USA. 2011, 108 (Suppl 1): 4554-4561.PubMed CentralPubMedView ArticleGoogle Scholar
- Eckburg PB, Relman DA: The role of microbes in Crohn’s disease. Clin Infect Dis. 2007, 44: 256-262. 10.1086/510385.PubMedView ArticleGoogle Scholar
- Kostic AD, Gevers D, Pedamallu CS, Michaud M, Duke F, Earl AM, Ojesina AI, Jung J, Bass AJ, Tabernero J, et al.: Genomic analysis identifies association of Fusobacterium with colorectal carcinoma. Genome Res. 2012, 22: 292-298. 10.1101/gr.126573.111.PubMed CentralPubMedView ArticleGoogle Scholar
- Ravel J, Gajer P, Abdo Z, Schneider GM, Koenig SS, McCulle SL, Karlebach S, Gorle R, Russell J, Tacket CO, et al.: Vaginal microbiome of reproductive-age women. Proc Natl Acad Sci USA. 2011, 108 (Suppl 1): 4680-4687.PubMed CentralPubMedView ArticleGoogle Scholar
- Scanlan PD, Shanahan F, O’Mahony C, Marchesi JR: Culture-independent analyses of temporal variation of the dominant fecal microbiota and targeted bacterial subgroups in Crohn’s disease. J Clin Microbiol. 2006, 44: 3980-3988. 10.1128/JCM.00312-06.PubMed CentralPubMedView ArticleGoogle Scholar
- Sibley CD, Parkins MD, Rabin HR, Duan K, Norgaard JC, Surette MG: A polymicrobial perspective of pulmonary infections exposes an enigmatic pathogen in cystic fibrosis patients. Proc Natl Acad Sci USA. 2008, 105: 15070-15075. 10.1073/pnas.0804326105.PubMed CentralPubMedView ArticleGoogle Scholar
- Tannock GW, Munro K, Harmsen HJ, Welling GW, Smart J, Gopal PK: Analysis of the fecal microflora of human subjects consuming a probiotic product containing Lactobacillus rhamnosus DR20. Appl Environ Microbiol. 2000, 66: 2578-2588. 10.1128/AEM.66.6.2578-2588.2000.PubMed CentralPubMedView ArticleGoogle Scholar
- Friedline CJ, Franklin RB, McCallister SL, Rivera MC: Bacterial assemblages of the eastern Atlantic Ocean reveal both vertical and longitudinal biogeographic signatures. Biogeosci. 2012, 9: 2177-2193. 10.5194/bg-9-2177-2012.View ArticleGoogle Scholar
- Huse SM, Dethlefsen L, Huber JA, Mark Welch D, Relman DA, Sogin ML: Exploring microbial diversity and taxonomy using SSU rRNA hypervariable tag sequencing. PLoS Genet. 2008, 4: e1000255-10.1371/journal.pgen.1000255.PubMed CentralPubMedView ArticleGoogle Scholar
- Giardine B, Riemer C, Hardison RC, Burhans R, Elnitski L, Shah P, Zhang Y, Blankenberg D, Albert I, Taylor J, et al.: Galaxy: a platform for interactive large-scale genome analysis. Genome Res. 2005, 15: 1451-1455. 10.1101/gr.4086505.PubMed CentralPubMedView ArticleGoogle Scholar
- Schloss PD, Westcott SL, Ryabin T, Hall JR, Hartmann M, Hollister EB, Lesniewski RA, Oakley BB, Parks DH, Robinson CJ, et al.: Introducing mothur: open-source, platform-independent, community-supported software for describing and comparing microbial communities. Appl Environ Microbiol. 2009, 75: 7537-7541. 10.1128/AEM.01541-09.PubMed CentralPubMedView ArticleGoogle Scholar
- Wang Q, Garrity GM, Tiedje JM, Cole JR: Naive Bayesian classifier for rapid assignment of rRNA sequences into the new bacterial taxonomy. Appl Environ Microbiol. 2007, 73: 5261-5267. 10.1128/AEM.00062-07.PubMed CentralPubMedView ArticleGoogle Scholar
- White JR, Nagarajan N, Pop M: Statistical methods for detecting differentially abundant features in clinical metagenomic samples. PLoS Comput Biol. 2009, 5: e1000352-10.1371/journal.pcbi.1000352.PubMed CentralPubMedView ArticleGoogle Scholar
- Semino-Mora C, Testerman TL, Liu H, Whitmire JM, Studeman K, Jia Y, McAvoy TJ, Francis J, Nieroda C, Sardi A, et al.: Antibiotic treatment decreases microbial burden associated with pseudomyxoma peritonei and affects beta-catenin distribution. Clin Cancer Res. 2013, In pressGoogle Scholar
- Cox MJ, Allgaier M, Taylor B, Baek MS, Huang YJ, Daly RA, Karaoz U, Andersen GL, Brown R, Fujimura KE, et al.: Airway microbiota and pathogen abundance in age-stratified cystic fibrosis patients. PLoS One. 2010, 5: e11044-10.1371/journal.pone.0011044.PubMed CentralPubMedView ArticleGoogle Scholar
- Huang YJ, Kim E, Cox MJ, Brodie EL, Brown R, Wiener-Kronish JP, Lynch SV: A persistent and diverse airway microbiota present during chronic obstructive pulmonary disease exacerbations. OMICS. 2010, 14: 9-59. 10.1089/omi.2009.0100.PubMed CentralPubMedView ArticleGoogle Scholar
- Hardwick RH, Taylor A, Thompson MH, Jones E, Roe AM: Association between Streptococcus milleri and abscess formation after appendicitis. Ann R Coll Surg Engl. 2000, 82: 24-26.PubMed CentralPubMedGoogle Scholar
- Molina JM, Leport C, Bure A, Wolff M, Michon C, Vilde JL: Clinical and bacterial features of infections caused by Streptococcus milleri. Scand J Infect Dis. 1991, 23: 659-666. 10.3109/00365549109024289.PubMedView ArticleGoogle Scholar
- Parkins MD, Sibley CD, Surette MG, Rabin HR: The Streptococcus milleri group–an unrecognized cause of disease in cystic fibrosis: a case series and literature review. Pediatr Pulmonol. 2008, 43: 490-497. 10.1002/ppul.20809.PubMedView ArticleGoogle Scholar
- Shinzato T, Saito A: The Streptococcus milleri group as a cause of pulmonary infections. Clin Infect Dis. 1995, 21 (Suppl 3): S238-243.PubMedView ArticleGoogle Scholar
- Duan K, Dammel C, Stein J, Rabin H, Surette MG: Modulation of Pseudomonas aeruginosa gene expression by host microflora through interspecies communication. Mol Microbiol. 2003, 50: 1477-1491. 10.1046/j.1365-2958.2003.03803.x.PubMedView ArticleGoogle Scholar
- Blaser MJ: Helicobacter pylori and the pathogenesis of gastroduodenal inflammation. J Infect Dis. 1990, 161: 626-633. 10.1093/infdis/161.4.626.PubMedView ArticleGoogle Scholar
- Hatakeyama M: Oncogenic mechanisms of the Helicobacter pylori CagA protein. Nat Rev Cancer. 2004, 4: 688-694.PubMedView ArticleGoogle Scholar
- Geng J, Fan H, Tang X, Zhai H, Zhang Z: Diversified pattern of the human colorectal cancer microbiome. Gut Pathog. 2013, 5: 2-10.1186/1757-4749-5-2.PubMed CentralPubMedView ArticleGoogle Scholar
- Fassi Fehri L, Mak TN, Laube B, Brinkmann V, Ogilvie LA, Mollenkopf H, Lein M, Schmidt T, Meyer TF, Bruggemann H: Prevalence of Propionibacterium acnes in diseased prostates and its inflammatory and transforming activity on prostate epithelial cells. Int J Med Microbiol. 2011, 301: 69-78. 10.1016/j.ijmm.2010.08.014.PubMedView ArticleGoogle Scholar
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.