MiR-142a-3p and miR-155-5p reduce methamphetamine-induced inflammation: Role of the target protein Peli1.

Methamphetamine (METH) is a highly addictive stimulant and METH exposure can induce a series of neuroinflammatory effects. Peli1 is a novel and important E3 ubiquitin-protein ligase contributing to neuroinflammation; targeting Peli1 may thus provide promising therapeutic strategies for neuroinflammation. In addition to the classic MyD88-dependent or MyD88-independent pathways, miRNAs may also be involved in Peli1 modulation. In the present study, two novel miRNAs, miR-142a-3p and miR-155-5p, that were predicted to target Peli1 using bioinformatics were chosen, and their unique roles in METH-induced neuroinflammation via regulating Peli1 expression were identified. Our results showed that miR-142a-3p was significantly reduced in METH-induced neuroinflammation and was negatively associated with Peli1 expression both in BV2 cells and in the brain of mouse. MiR-155-5p was significantly reduced by METH in vitro but increased in vivo. A luciferase reporter assay was performed to reveal that miR-142a-3p and miR-155-5p bound specifically to Peli1, an effect that was completely abolished by the Peli1 binding site mutation. Reciprocally, the overexpression of miR-142a-3p and miR-155-5p could directly suppress Peli1 expression and could protect against the inflammatory effects of METH treatment partially through activating p38 MAPK and NF-κB inflammatory pathways. In conclusion, the present study reveals a novel signaling pathway, the miR-142a-3p/miR-155-5p/Peli1 axis in METH-mediated neuroinflammation, and this pathway could be a potential therapeutic target for METH-mediated neurotoxicity.

Quantification of Human Microbiome Stability Over 6 Months: Implications for Epidemiologic Studies.

Temporal variation in microbiome measurements can reduce statistical power in research studies. Quantification of this variation is essential for designing studies of chronic disease. We analyzed 16S ribosomal RNA profiles in paired biological specimens separated by 6 months from 3 studies conducted during 1985-2013 (a National Cancer Institute colorectal cancer study, a Costa Rica study, and the Human Microbiome Project). We evaluated temporal stability by calculating intraclass correlation coefficients (ICCs). Sample sizes needed in order to detect microbiome differences between equal numbers of cases and controls for a nested case-control design were calculated on the basis of estimated ICCs. Across body sites, 12 phylum-level ICCs were greater than 0.5. Similarly, 11 alpha-diversity ICCs were greater than 0.5. Fecal beta-diversity estimates had ICCs over 0.5. For a single collection with most microbiome metrics, detecting an odds ratio of 2.0 would require 300-500 cases when matching 1 case to 1 control at P = 0.05. Use of 2 or 3 sequential specimens reduces the number of required subjects by 40%-50% for low-ICC metrics. Relative abundances of major phyla and alpha-diversity metrics have low temporal stability. Thus, detecting associations of moderate effect size with these metrics will require large sample sizes. Because beta diversity for feces is reasonably stable over time, smaller sample sizes can detect associations with community composition. Sequential prediagnostic specimens from thousands of prospectively ascertained cases are required to detect modest disease associations with particular microbiome metrics.

Elevated antibodies against Epstein-Barr virus among individuals predicted to carry nasopharyngeal carcinoma susceptibility variants.

Epstein-Barr virus (EBV) is an obligatory factor in the development of nasopharyngeal carcinoma (NPC), and anti-EBV IgA antibodies are elevated many years prior to the development of NPC. Nearly all adults are infected with EBV, but only a few develop cancer, suggesting that additional co-factors, including genetic susceptibility, must be required for the disease to manifest. Individuals were selected from the Taiwan Family Study, a cohort of 3389 individuals from NPC multiplex families. Primary analyses were conducted among 671 individuals from 69 pedigrees with the strongest family history of disease (>3 NPC-affected family members). The likelihood that a given family member carried a NPC susceptibility variant was estimated using Mendelian segregation rules, assuming a dominant mode of inheritance. We compared anti-EBV IgA antibody seropositivity between family members predicted to be carriers of NPC-linked genetic variants and those with a lower likelihood of carrying such variants. Obligate carriers of NPC susceptibility variants (100 % predicted probability of harbouring the genetic mutation) were nine-fold more likely to be anti-EBV IgA positive compared to family members predicted not to carry disease-causing variants (OR=9.2; P-trend<0.001). This elevated risk was confirmed in analyses restricted to both unaffected individuals and pedigrees with EBV-related pathway variants identified through exome sequencing. Our data indicate that family members who are more likely to carry NPC susceptibility variants are also more likely to be anti-EBNA1 IgA seropositive. Genetic susceptibility associated with control over this common herpes virus is likely a co-factor in determining which EBV-infected adults develop NPC.

Fast coarse-fine locating method for φ-OTDR.

We proposed and demonstrated a coarse-fine method to achieve fast locating of external vibration for the phase-sensitive optical time-domain reflectometer (φ-OTDR) sensing system. Firstly, the acquired backscattered traces from heterodyne coherent φ-OTDR systems are spatially divided into a few segments along a sensing fiber for coarse locating, and most of the acquired data can be excluded by comparing the phase difference between the endpoints in adjacent segments. Secondly, the amplitude-based locating is implemented within the target segments for fine locating. By using the proposed coarse-fine locating method, we have numerically and experimentally investigated a distributed vibration sensor based on the heterodyne coherent φ-OTDR system with a 50-km-long sensing fiber. We find that the computation cost of signal processing for locating is significantly reduced in the long-haul sensing fiber, showing a potential application in real-time locating of external vibration.

Gastric microbiota features associated with cancer risk factors and clinical outcomes: A pilot study in gastric cardia cancer patients from Shanxi, China.

Little is known about the link between gastric microbiota and the epidemiology of gastric cancer. In order to determine the epidemiologic and clinical relevance of gastric microbiota, we used 16 S ribosomal RNA gene sequencing analysis to characterize the composition and structure of the gastric microbial community of 80 paired samples (non-malignant and matched tumor tissues) from gastric cardia adenocarcinoma (GCA) patients in Shanxi, China. We also used PICRUSt to predict microbial functional profiles. Compared to patients without family history of upper gastrointestinal (UGI) cancer in the non-malignant gastric tissue microbiota, patients with family history of UGI cancer had higher Helicobacter pylori (Hp) relative abundance (median: 0.83 vs. 0.38, p = 0.01) and lower alpha diversity (median observed species: 51 vs. 85, p = 0.01). Patients with higher (vs. lower) tumor grade had higher Hp relative abundance (0.73 vs. 0.18, p = 0.03), lower alpha diversity (observed species, 66 vs. 89, p = 0.01), altered beta diversity (weighted UniFrac, p = 0.002) and significant alterations in relative abundance of five KEGG functional modules in non-malignant gastric tissue microbiota. Patients without metastases had higher relative abundance of Lactobacillales than patients with metastases (0.05 vs. 0.01, p = 0.04) in non-malignant gastric tissue microbiota. These associations were observed in non-malignant tissues but not in tumor tissues. In conclusion, this study showed a link of gastric microbiota to a major gastric cancer risk factor and clinical features in GCA patients from Shanxi, China. Studies with both healthy controls and gastric cardia and noncardia cancer cases across different populations are needed to further examine the association between gastric cancer and the microbiota.

Association between tobacco use and the upper gastrointestinal microbiome among Chinese men.

PURPOSE: Tobacco causes many adverse health conditions and may alter the upper gastrointestinal (UGI) microbiome. However, the few studies that studied the association between tobacco use and the microbiome were small and underpowered. Therefore, we investigated the association between tobacco use and the UGI microbiome in Chinese men. METHODS: We included 278 men who underwent esophageal cancer screening in Henan Province, China. Men were categorized as current, former, or never smokers from questionnaire data. UGI tract bacterial cells were characterized using the Human Oral Microbial Identification Microarray. Counts of unique bacterial species and genera estimated alpha diversity. For beta diversity, principal coordinate (PCoA) vectors were generated from an unweighted UniFrac distance matrix. Polytomous logistic regression models were used for most analyses. RESULTS: Of the 278 men in this study, 46.8% were current smokers and 12.6% were former smokers. Current smokers tended to have increased alpha diversity (mean 42.3 species) compared to never smokers (mean 38.9 species). For a 10 species increase, the odds ratio (OR) for current smoking was 1.29 (95% CI 1.04-1.62). Beta diversity was also associated with current smoking. The first two PCoA vectors were strongly associated with current smoking (PCoA1 OR 0.66; 95% CI 0.51-0.87; PCoA2 OR 0.73; 95% CI 0.56-0.95). Furthermore, Dialister invisus and Megasphaera micronuciformis were more commonly detected in current smokers than in never smokers. CONCLUSIONS: Current smoking was associated with both alpha and beta diversity in the UGI tract. Future work should consider how the UGI microbiome is associated with smoking-related diseases.

The association between the upper digestive tract microbiota by HOMIM and oral health in a population-based study in Linxian, China.

BACKGROUND: Bacteria affect oral health, but few studies have systematically examined the role of bacterial communities in oral diseases. We examined this relationship in a large population-based Chinese cancer screening cohort. METHODS: Human Oral Microbe Identification Microarrays were used to test for the presence of 272 human oral bacterial species (97 genera) in upper digestive tract (UDT) samples collected from 659 participants. Oral health was assessed using US NHANES (National Health and Nutrition Examination Survey) protocols. We assessed both dental health (total teeth missing; tooth decay; and the decayed, missing, and filled teeth (DMFT) score) and periodontal health (bleeding on probing (BoP) extent score, loss of attachment extent score, and a periodontitis summary estimate). RESULTS: Microbial richness, estimated by number of genera per sample, was positively correlated with BoP score (P = 0.015), but negatively correlated with tooth decay and DMFT score (P = 0.008 and 0.022 respectively). Regarding ß-diversity, as estimated by the UniFrac distance matrix for pairwise differences among samples, at least one of the first three principal components of the UniFrac distance matrix was correlated with the number of missing teeth, tooth decay, DMFT, BoP, or periodontitis. Of the examined genera, Parvimonas was positively associated with BoP and periodontitis. Veillonellacease [G-1] was associated with a high DMFT score, and Filifactor and Peptostreptococcus were associated with a low DMFT score. CONCLUSIONS: Our results suggest distinct relationships between UDT microbiota and dental and periodontal health. Poor dental health was associated with a less microbial diversity, whereas poor periodontal health was associated with more diversity and the presence of potentially pathogenic species.

Molecular evolution of the endosperm starch synthesis pathway genes in rice (Oryza sativa L.) and its wild ancestor, O. rufipogon L.

The evolution of metabolic pathways is a fundamental but poorly understood aspect of evolutionary change. One approach for understanding the complexity of pathway evolution is to examine the molecular evolution of genes that together comprise an integrated metabolic pathway. The rice endosperm starch biosynthetic pathway is one of the most thoroughly characterized metabolic pathways in plants, and starch is a trait that has evolved in response to strong selection during rice domestication. In this study, we have examined six key genes (AGPL2, AGPS2b, SSIIa, SBEIIb, GBSSI, ISA1) in the rice endosperm starch biosynthesis pathway to investigate the evolution of these genes before and after rice domestication. Genome-wide sequence tagged sites data were used as a neutral reference to overcome the problems of detecting selection in species with complex demographic histories such as rice. Five variety groups of Oryza sativa (aus, indica, tropical japonica, temperate japonica, aromatic) and its wild ancestor (O. rufipogon) were sampled. Our results showed evidence of purifying selection at AGPL2 in O. rufipogon and strong evidence of positive selection at GBSSI in temperate japonica and tropical japonica varieties and at GBSSI and SBEIIb in aromatic varieties. All the other genes showed a pattern consistent with neutral evolution in both cultivated rice and its wild ancestor. These results indicate the important role of positive selection in the evolution of starch genes during rice domestication. We discuss the role of SBEIIb and GBSSI in the evolution of starch quality during rice domestication and the power and limitation of detecting selection using genome-wide data as a neutral reference.

MicrobiomeGWAS: A Tool for Identifying Host Genetic Variants Associated with Microbiome Composition.

The microbiome is the collection of all microbial genes and can be investigated by sequencing highly variable regions of 16S ribosomal RNA (rRNA) genes. Evidence suggests that environmental factors and host genetics may interact to impact human microbiome composition. Identifying host genetic variants associated with human microbiome composition not only provides clues for characterizing microbiome variation but also helps to elucidate biological mechanisms of genetic associations, prioritize genetic variants, and improve genetic risk prediction. Since a microbiota functions as a community, it is best characterized by ß diversity; that is, a pairwise distance matrix. We develop a statistical framework and a computationally efficient software package, microbiomeGWAS, for identifying host genetic variants associated with microbiome ß diversity with or without interacting with an environmental factor. We show that the score statistics have positive skewness and kurtosis due to the dependent nature of the pairwise data, which makes p-value approximations based on asymptotic distributions unacceptably liberal. By correcting for skewness and kurtosis, we develop accurate p-value approximations, whose accuracy was verified by extensive simulations. We exemplify our methods by analyzing a set of 147 genotyped subjects with 16S rRNA microbiome profiles from non-malignant lung tissues. Correcting for skewness and kurtosis eliminated the dramatic deviation in the quantile-quantile plots. We provided preliminary evidence that six established lung cancer risk SNPs were collectively associated with microbiome composition for both unweighted (p = 0.0032) and weighted (p = 0.011) UniFrac distance matrices. In summary, our methods will facilitate analyzing large-scale genome-wide association studies of the human microbiome.

The Oral Microbiome and Lung Cancer Risk: An Analysis of 3 Prospective Cohort Studies.

BACKGROUND: Previous studies suggested associations between the oral microbiome and lung cancer, but studies were predominantly cross-sectional and underpowered. METHODS: Using a case-cohort design, 1306 incident lung cancer cases were identified in the Agricultural Health Study; National Institutes of Health-AARP Diet and Health Study; and Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial. Referent subcohorts were randomly selected by strata of age, sex, and smoking history. DNA was extracted from oral wash specimens using the DSP DNA Virus Pathogen kit, the 16S rRNA gene V4 region was amplified and sequenced, and bioinformatics were conducted using QIIME 2. Hazard ratios and 95% confidence intervals were calculated using weighted Cox proportional hazards models. RESULTS: Higher alpha diversity was associated with lower lung cancer risk (Shannon index hazard ratio = 0.90, 95% confidence interval = 0.84 to 0.96). Specific principal component vectors of the microbial communities were also statistically significantly associated with lung cancer risk. After multiple testing adjustment, greater relative abundance of 3 genera and presence of 1 genus were associated with greater lung cancer risk, whereas presence of 3 genera were associated with lower risk. For example, every SD increase in Streptococcus abundance was associated with 1.14 times the risk of lung cancer (95% confidence interval = 1.06 to 1.22). Associations were strongest among squamous cell carcinoma cases and former smokers. CONCLUSIONS: Multiple oral microbial measures were prospectively associated with lung cancer risk in 3 US cohort studies, with associations varying by smoking history and histologic subtype. The oral microbiome may offer new opportunities for lung cancer prevention.

Association between nonsynonymous mutations of starch synthase IIa and starch quality in rice (Oryza sativa).

Starch quality is one of the most important agronomic traits in Asian rice, Oryza sativa. Starch synthase IIa (SsIIa) is a major candidate gene for starch quality variation. Within SsIIa, three nonsynonymous mutations in exon 8 have been shown to affect enzyme activity when expressed in Escherichia coli. To search for the variation in SsIIa that is responsible for starch quality variation in rice, we sequenced the SsIIa exon 8 region and measured starch quality as starch disintegration in alkali for 289 accessions of cultivated rice and 57 accessions of its wild ancestor, Oryza rufipogon. A general linear model and nested clade analysis were used to identify the associations between the three nonsynonymous single nucleotide polymorphisms (SNPs) and starch quality. Among the three nonsynonymous SNPs, we found strong evidence of association at one nucleotide site ('SNP 3'), corresponding to a Leu/Phe replacement at codon 781. A second SNP, corresponding to a Val/Met replacement at codon 737, could potentially show an association with increased sample sizes. Variation in SsIIa enzyme activity is associated with the cohesiveness of rice grains when cooked, and our findings are consistent with selection for more cohesive grains during the domestication of tropical japonica rice.

1-Methyl-4-phenyl-1,2,3,6-tetrahydropyridine Induced Parkinson's Disease in Mouse: Potential Association between Neurotransmitter Disturbance and Gut Microbiota Dysbiosis.

Recent studies have revealed significant roles of neurotransmitters and gut microbiota along the gut-brain axis in Parkinson's disease (PD); however, the potential mechanisms remain poorly understood. In the current study, 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP) induced characteristic PD neurobehavior changes accompanied by increased α-synuclein, apoptotic protein Bim, and cleaved caspase-3 and decreased expression of tyrosine hydroxylase (TH). Meanwhile, the tryptophan (Trp) and tyrosine (Tyr) neurotransmitter metabolites involving kynurenine (KYN), serotonin (5-HT), and dopamine (DA) pathways were significantly changed in serum. Furthermore, the step-limited enzymes, which are responsible for the key metabolic pathways of these neurotransmitters, were obviously dysregulated. The 16S rRNA gene sequence results indicated that the abundance and diversity of the microbiota were obviously decreased in MPTP-treated mice, the presence of Ruminococcus, Parabacteroides and Parasutterella genera were obviously increased, while Coriobacteriaceae, Flavonifractor, Lachnospiraceae, Lactobacillaceae, and Rikenellaceae abundance was markedly decreased. The connectivity between the gut microbiota and neurotransmitter metabolism revealed that the gut microbiota dysbiosis was associated with disturbance of the DA, KYN, and 5-HT metabolic pathways. Therefore, our results provide evidence that gut-microbiota-brain axis disturbance may play an important role in PD development and targeting this axis might provide a promising therapeutic strategy for PD.

Mammographic breast density and its association with urinary estrogens and the fecal microbiota in postmenopausal women.

BACKGROUND: Breast density, as estimated by mammography, is a strong risk factor for breast cancer in pre- and postmenopausal women, but the determinants of breast density have not yet been established. The aim of this study was to assess if urinary estrogens or gut microbiota alterations are associated with mammographic density in postmenopausal women. METHODS: Among 54 cancer-free, postmenopausal controls in the Breast and Colon Health study, we classified low- versus high-density women with Breast Imaging Reporting and Data System (BI-RADS, 5th edition) mammographic screening data, then assessed associations with urinary estrogens and estrogen metabolites (determined by liquid chromatography/tandem mass spectrometry), and fecal microbiota alpha and beta diversity (using Illumina sequencing of 16S rRNA amplicons). RESULTS: Multiple logistic regression revealed no significant association between breast density and fecal microbiota metrics (PD_tree P-value = 0.82; un-weighted and weighted UniFrac P = 0.92 and 0.83, respectively, both by MiRKAT). In contrast, total urinary estrogens (and all 15 estrogens/estrogen metabolites) were strongly and inversely associated with breast density (P = 0.01) after adjustment for age and body mass index. CONCLUSION: Mammographic density was not associated with the gut microbiota, but it was inversely associated with urinary estrogen levels. IMPACT: The finding of an inverse association between urinary estrogens and breast density in cancer-free women adds to the growing breast cancer literature on understanding the relationship between endogenous estrogens and mammographic density.

Whole-Exome Sequencing of Nasopharyngeal Carcinoma Families Reveals Novel Variants Potentially Involved in Nasopharyngeal Carcinoma.

Genetic susceptibility is likely involved in nasopharyngeal carcinoma (NPC), a cancer caused by Epstein-Barr virus (EBV) infection. Understanding of genetic factors involved in NPC and how they contribute to EBV-induced carcinogenesis is limited. We conducted whole-exome capture/sequencing among 251 individuals from 97 multiplex families from Taiwan (205 affected, 21 obligate carriers, and 25 unaffected) using SeqCap EZ Human Exome Library v3.0 and Illumina HiSeq. Aligned sequences were filtered to identify likely-to-be-functional deleterious variants that co-segregated with disease. Ingenuity Pathway analysis was performed. Circulating magnesium levels were measured in 13 individuals in 2 families with NIPAL1 mutations and in 197 sporadic NPC cases and 237 controls. We identified variants in 12 genes likely involved in cancer pathogenesis, viral infection or immune responses to infection. These included genes postulated to be involved in magnesium transport (NIPAL1), EBV cell entry (ITGB6), modulation of EBV infection (BCL2L12, NEDD4L), telomere biology (CLPTM1L, BRD2, HNRNPU), modulation of cAMP signaling (RAPGEF3), DNA repair (PRKDC, MLH1), and Notch signaling (NOTCH1, DLL3). Pathway based analysis demonstrated enrichment for Notch signaling genes (p-value = 0.0006). Evaluation of individuals within NIPAL1 families suggested lower serum magnesium in NPC compared to unaffected members. A significant reduction in serum magnesium levels was observed among sporadic NPC cases compared to controls (7.1% NPC/1.7% controls below normal range; OR = 4.5; 95% CI = 1.4,14) and is consistent with findings demonstrating a role for magnesium channeling in T-cell responses to EBV. We identified novel genes associated with NPC that point to new areas of inquiry to better understand genetic factors that determine the fate of viral infections and/or otherwise predisposes to NPC.

Evaluation of Rare and Common Variants from Suspected Familial or Sporadic Nasopharyngeal Carcinoma (NPC) Susceptibility Genes in Sporadic NPC.

BACKGROUND: Genetic susceptibility is associated with nasopharyngeal carcinoma (NPC). We previously identified rare variants potentially involved in familial NPC and common variants significantly associated with sporadic NPC. METHODS: We conducted targeted gene sequencing of 20 genes [16 identified from the study of multiplex families, three identified from a pooled analysis of NPC genome-wide association study (GWAS), and one identified from both studies] among 819 NPC cases and 938 controls from two case-control studies in Taiwan (independent from previous studies). A targeted, multiplex PCR primer panel was designed using the custom Ion AmpliSeq Designer v4.2 targeting the regions of the selected genes. Gene-based and single-variant tests were conducted. RESULTS: We found that NPC was associated with combined common and rare variants in CDKN2A/2B (P = 1.3 × 10-4), BRD2 (P = 1.6 × 10-3), TNFRSF19 (P = 4.0 × 10-3), and CLPTM1L/TERT (P = 5.4 × 10-3). Such associations were likely driven by common variants within these genes, based on gene-based analyses evaluating common variants and rare variants separately (e.g., for common variants of CDKN2A/2B, P = 4.6 × 10-4; for rare variants, P = 0.04). We also observed a suggestive association with rare variants in HNRNPU (P = 3.8 × 10-3) for NPC risk. In addition, we validated four previously reported NPC risk-associated SNPs. CONCLUSIONS: Our findings confirm previously reported associated variants and suggest that some common variants in genes previously linked to familial NPC are associated with the development of sporadic NPC. IMPACT: NPC-associated genes, including CLPTM1L/TERT, BRD2, and HNRNPU, suggest a role for telomere length maintenance in NPC etiology.

On the Search to Elucidate the Role of Microbiota in the Genesis of Cancer: The Cases of Gastrointestinal and Cervical Cancer.

The microbiota that inhabits the human body plays an important role in health and disease, by their fundamental role in food digestion, training of the immune system or protection against pathogen colonization. However, when the equilibrium with its host is altered, some diseases like cancer might be promoted. In this review we describe the information collected in recent studies between the microbiota and its association with cancer. We conducted the review of the relation of microbiome and cancer etiology focusing on the gastrointestinal and cervical cancer. The MEDLINE database was used for the search. The gastrointestinal tract harbours a diverse and site specific microbiota, and several studies have demonstrated that perturbation of these microbial communities might be associated with different types of cancer. In particular, alteration of the colorectal, gastric and oesophageal microbiota have been reported associated with cancer development. Likewise, cervical microbiome studies suggest that some members of the cervical microbiota are possible modifiers of the cytokine profile of the cervical microenvironment during the development of cervical lesions and cervical cancer. Larger prospective studies are needed to examine whether microbiome dysbiosis could cause cancer, and to evaluate the utility of microbiome profiles as biomarkers for prevention and early diagnosis. This is an important area of research if we consider that microbiota may be a modifiable factor by the use of pre- and probiotics, in order to prevent cancer evolution or even to potentiate cancer treatment.

Evaluation of Buccal Cell Samples for Studies of Oral Microbiota.

BACKGROUND: The human microbiota is postulated to affect cancer risk, but collecting microbiota specimens with prospective follow-up for diseases will take time. Buccal cell samples have been obtained from mouthwash for the study of human genomic DNA in many cohort studies. Here, we evaluate the feasibility of using buccal cell samples to examine associations of human microbiota and disease risk. METHODS: We obtained buccal cells from mouthwash in 41 healthy participants using a protocol that is widely employed to obtain buccal cells for the study of human DNA. We compared oral microbiota from buccal cells with that from eight other oral sample types collected by following the protocols of the Human Microbiome Project. Microbiota profiles were determined by sequencing 16S rRNA gene V3-V4 region. RESULTS: Compared with each of the eight other oral samples, the buccal cell samples had significantly more observed species (P < 0.002) and higher alpha diversity (Shannon index, P < 0.02). The microbial communities were more similar (smaller beta diversity) among buccal cells samples than in the other samples (P < 0.001 for 12 of 16 weighted and unweighted UniFrac distance comparisons). Buccal cell microbial profiles closely resembled saliva but were distinct from dental plaque and tongue dorsum. CONCLUSIONS: Stored buccal cell samples in prospective cohort studies are a promising resource to study associations of oral microbiota with disease. IMPACT: The feasibility of using existing buccal cell collections in large prospective cohorts allows investigations of the role of oral microbiota in chronic disease etiology in large population studies possible today. Cancer Epidemiol Biomarkers Prev; 26(2); 249-53. ©2016 AACR.

The effect of cigarette smoking on the oral and nasal microbiota.

BACKGROUND: The goal of the study was to investigate whether cigarette smoking alters oral and nasal microbial diversity, composition, and structure. Twenty-three current smokers and 20 never smokers were recruited. From each subject, nine samples including supra and subgingiva plaque scrapes, saliva, swabs from five soft oral tissue sites, and one nasal swab from both the anterior nares were collected. 16S rRNA V3-V4 region was sequenced for microbial profiles. RESULTS: We found that alpha diversity was lower in smokers than in nonsmokers in the buccal mucosa, but in other sample sites, microbial diversity and composition were not significantly different by smoking status. Microbial profiles differed significantly among eight oral sites. CONCLUSIONS: This study investigates the effect of cigarette smoking on different sites of the oral cavity and shows a potential effect of cigarette smoking on the buccal mucosa microbiota. The marked heterogeneity of the oral microbial ecosystem that we found may contribute to the stability of the oral microbiota in most sites when facing environmental perturbations such as that caused by cigarette smoking.

Molecular Characterization of the Human Stomach Microbiota in Gastric Cancer Patients.

Helicobacter pylori (Hp) is the primary cause of gastric cancer but we know little of its relative abundance and other microbes in the stomach, especially at the time of gastric cancer diagnosis. Here we characterized the taxonomic and derived functional profiles of gastric microbiota in two different sets of gastric cancer patients, and compared them with microbial profiles in other body sites. Paired non-malignant and tumor tissues were sampled from 160 gastric cancer patients with 80 from China and 80 from Mexico. The 16S rRNA gene V3-V4 region was sequenced using MiSeq platform for taxonomic profiles. PICRUSt was used to predict functional profiles. Human Microbiome Project was used for comparison. We showed that Hp is the most abundant member of gastric microbiota in both Chinese and Mexican samples (51 and 24%, respectively), followed by oral-associated bacteria. Taxonomic (phylum-level) profiles of stomach microbiota resembled oral microbiota, especially when the Helicobacter reads were removed. The functional profiles of stomach microbiota, however, were distinct from those found in other body sites and had higher inter-subject dissimilarity. Gastric microbiota composition did not differ by Hp colonization status or stomach anatomic sites, but did differ between paired non-malignant and tumor tissues in either Chinese or Mexican samples. Our study showed that Hp is the dominant member of the non-malignant gastric tissue microbiota in many gastric cancer patients. Our results provide insights on the gastric microbiota composition and function in gastric cancer patients, which may have important clinical implications.