scholarly journals The Subgingival Microbiome in Patients with Down Syndrome and Periodontitis

2020 ◽  
Vol 9 (8) ◽  
pp. 2482
Author(s):  
Lourdes Nóvoa ◽  
María del Carmen Sánchez ◽  
Juan Blanco ◽  
Jacobo Limeres ◽  
Maigualida Cuenca ◽  
...  
Keyword(s):  
Down Syndrome ◽  
Bacterial Species ◽  
Hypervariable Region ◽  
Alpha Diversity ◽  
Study Groups ◽  
Abundant Species ◽  
Rrna Gene ◽  
Periodontal Pathogens ◽  
Cross Sectional ◽  
The Difference

Objective: To describe the subgingival microbiome of individuals with Down syndrome (DS). Methods: We conducted a cross-sectional observational study that obtained bacterial DNA samples from 50 patients with DS, 25 with periodontitis (PDS) and 25 with a healthy periodontal condition (HDS). The samples were analyzed by sequencing the 16S rRNA gene V3–V4 hypervariable region using the MiSeq System. Taxonomic affiliations were assigned using the naïve Bayesian classifier integrated in QIIME2 plugins. We evaluated the difference in bacteria abundance between the sample groups using Wilcoxon and Kruskal–Wallis tests. We evaluated the alpha diversity of the identified species using the Observed, Chao1metric, ACE and Shannon indices and evaluated beta diversity with principal coordinate analysis (registration code: 2018/510). Results: Twenty-one genera and 39 bacterial species showed a significantly different abundance between the study groups. Among the genera, Porphyromonas, Treponema, Tannerella and Aggregatibacter were more abundant in the PDS group than in the HDS group, as were the less commonly studied Filifactor, Fretibacterium and Desulfobulbus genera. Among the species, Porphyromonas spp. and Tannerella spp. were the most abundant in the PDS group; the most abundant species in the HDS group were Pseudomonas spp., Granulicatella spp. and Gemella spp. Conclusion: Well-recognized periodontal pathogens and newly proposed pathogenic taxa were associated with periodontitis in patients with DS.

scholarly journals Salivary Microbial Dysbiosis Is Associated With Peri-Implantitis: A Case-Control Study in a Brazilian Population

2022 ◽  
Vol 11 ◽  
Author(s):  
Debora Pallos ◽  
Vanessa Sousa ◽  
Magda Feres ◽  
Belen Retamal-Valdes ◽  
Tsute Chen ◽  
...  
Keyword(s):  
Beta Diversity ◽  
Bacterial Species ◽  
Hypervariable Region ◽  
Alpha Diversity ◽  
Rrna Gene ◽  
Microbial Composition ◽  
Microbiome Composition ◽  
Ion Torrent Pgm ◽  
Microbial Dysbiosis ◽  
Haemophilus Parainfluenzae

Background and ObjectivesThe aim of this study was to examine the salivary microbiome in healthy peri-implant sites and those with peri-implantitis.MethodsSaliva samples were collected from 21 participants with healthy peri-implant sites and 21 participants with peri-implantitis. The V4 hypervariable region of the 16S rRNA gene was sequenced using the Ion Torrent PGM System (Ion 318™ Chip v2 400). The NGS analysis and composition of the salivary microbiome were determined by taxonomy assignment. Downstream bioinformatic analyses were performed in QIIME (v 1.9.1).ResultsClinical differences according to peri-implant condition status were found. Alpha diversity metrics revealed that the bacterial communities of participants with healthy peri-implant sites tended to have a richer microbial composition than individuals with peri-implantitis. In terms of beta diversity, bleeding on probing (BoP) may influence the microbial diversity. However, no clear partitioning was noted between the salivary microbiome of volunteers with healthy peri-implant sites or volunteers with peri-implantitis. The highest relative abundance of Stenotrophomonas, Enterococcus and Leuconostoc genus, and Faecalibacterium prausnitzii, Haemophilus parainfluenzae, Prevotella copri, Bacteroides vulgatus, and Bacteroides stercoris bacterial species was found in participants with peri-implantitis when compared with those with healthy peri-implant sites.ConclusionDifferences in salivary microbiome composition were observed between patients with healthy peri-implant sites and those with peri-implantitis. BoP could affect the diversity (beta diversity) of the salivary microbiome.

scholarly journals Gut microbiome composition in the Hispanic Community Health Study/Study of Latinos is shaped by geographic relocation, environmental factors, and obesity

2019 ◽  
Vol 20 (1) ◽  
Author(s):  
Robert C. Kaplan ◽  
Zheng Wang ◽  
Mykhaylo Usyk ◽  
Daniela Sotres-Alvarez ◽  
Martha L. Daviglus ◽  
...  
Keyword(s):  
Community Health ◽  
Gut Microbiome ◽  
Alpha Diversity ◽  
Amplicon Sequencing ◽  
Shannon Index ◽  
Health Study ◽  
Rrna Gene ◽  
Cross Sectional ◽  
Hispanic Community ◽  
The Usa

Abstract Background Hispanics living in the USA may have unrecognized potential birthplace and lifestyle influences on the gut microbiome. We report a cross-sectional analysis of 1674 participants from four centers of the Hispanic Community Health Study/Study of Latinos (HCHS/SOL), aged 18 to 74 years old at recruitment. Results Amplicon sequencing of 16S rRNA gene V4 and fungal ITS1 fragments from self-collected stool samples indicate that the host microbiome is determined by sociodemographic and migration-related variables. Those who relocate from Latin America to the USA at an early age have reductions in Prevotella to Bacteroides ratios that persist across the life course. Shannon index of alpha diversity in fungi and bacteria is low in those who relocate to the USA in early life. In contrast, those who relocate to the USA during adulthood, over 45 years old, have high bacterial and fungal diversity and high Prevotella to Bacteroides ratios, compared to USA-born and childhood arrivals. Low bacterial diversity is associated in turn with obesity. Contrasting with prior studies, our study of the Latino population shows increasing Prevotella to Bacteroides ratio with greater obesity. Taxa within Acidaminococcus, Megasphaera, Ruminococcaceae, Coriobacteriaceae, Clostridiales, Christensenellaceae, YS2 (Cyanobacteria), and Victivallaceae are significantly associated with both obesity and earlier exposure to the USA, while Oscillospira and Anaerotruncus show paradoxical associations with both obesity and late-life introduction to the USA. Conclusions Our analysis of the gut microbiome of Latinos demonstrates unique features that might be responsible for health disparities affecting Hispanics living in the USA.

scholarly journals AB1232 ORAL DYSBIOSIS REFLECTS THE IMMUNOLOGICAL ALTERATION OF RA REGARDING TO ACPA AND HLA DRB1*SE: NAGASAKI ISLAND STUDY

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 1907.2-1907
Author(s):  
Y. Tsuji ◽  
M. Tamai ◽  
S. Morimoto ◽  
D. Sasaki ◽  
M. Nagayoshi ◽  
...  
Keyword(s):  
Beta Diversity ◽  
Healthy Subjects ◽  
Microbial Community Composition ◽  
Alpha Diversity ◽  
Enzyme Linked Immunosorbent Assay ◽  
Rrna Gene ◽  
Oral Microbiota ◽  
Unifrac Distance ◽  
Alpha And Beta Diversity ◽  
The Difference

Background:Anti-citrullinated protein antibody (ACPA) production is observed in several organs even prior to the onset of rheumatoid arthritis (RA), and oral mucosa is considered to be one of the important tissues. The presence of HLA-DRB1*SE closely associates with ACPA production. Saliva is considered to reflect the oral microbiota including periodontal disease. Alteration of oral microbiota of RA becomes to be normalized by DMARDs treatment, however, the interaction of HLA-DRB1*SE, ACPA and oral microbiota of RA patients remains to be elucidated.Objectives:The Nagasaki Island Study, which had started in 2014 collaborating with Goto City, is intended for research of the preclinical stage of RA, including ACPA/HLA genotype screening and ultrasound and magnetic resonance imaging examinations in high-risk subjects. Using the samples accumulated in this cohort, we have tried to investigate the difference of oral microbiota among RA patients and healthy subjects regarding to ACPA and HLA-DRB1*SE.Methods:Blood and salivary samples were obtained from 1422 subjects out of 4276 who have participated in the Nagasaki Island Study from 2016 to 2018. ACPA positivity was 1.7 % in total. Some of RA patients resided in Goto City participated in the Nagasaki Island Study. At this point, we selected 291 subjects, who were ACPA positive non-RA healthy subjects (n=22) and patients with RA (n=33, 11 subjects were ACPA positive and 22 ACPA negative respectively) as the case, age and gender matched ACPA negative non-RA healthy subjects (n=236) as the control. ACPA was measured by an enzyme-linked immunosorbent assay, and HLA genotyping was quantified by next-generation sequencing (Ref.1). The operational taxonomic unit (OUT) analysis using 16S rRNA gene sequencing were performed. The richness of microbial diversity within-subject (alpha diversity) was scaled via Shannon entropy. The dissimilarity between microbial community composition was calculated using Bray-Curtis distance as a scale, and differences between groups (beta diversity) were tested by permutational multivariate analysis of variance (PERMANOVA). In addition, UniFrac distance calculated in consideration of the distance on the phylogenetic tree were performed.Results:Median age 70 y.o., % Female 58.8 %. Among RA and non-RA subjects, not alpha diversity but beta diversity was statistically significance (p=0.022, small in RA). In RA subjects, both alpha and beta diversity is small (p<0.0001), especially significant in ACPA positive RA (Figure 1). Amongt RA subjects, presence of HLA-DRB1*SE did not show the difference but the tendency of being small of alpha diversity (p=0.29).Conclusion:Our study has suggested for the first time the association of oral microbiota alteration with the presence of ACPA and HLA-DRB1*SE. Oral dysbiosis may reflect the immunological status of patients with RA.References:[1]Kawaguchi S, et al. Methods Mol Biol 2018;1802: 22Disclosure of Interests:None declared

The bacteriome of the oral cavity in healthy dogs and dogs with periodontal disease

2022 ◽  
pp. 1-9
Author(s):  
Brook A. Niemiec ◽  
Jerzy Gawor ◽  
Shuiquan Tang ◽  
Aishani Prem ◽  
Janina A. Krumbeck
Keyword(s):  
Oral Cavity ◽  
Periodontal Disease ◽  
Bacterial Species ◽  
Abundant Species ◽  
Rrna Gene ◽  
Core Microbiome ◽  
The Core ◽  
Severe Periodontal Disease ◽  
Healthy Dogs ◽  
V3 Region

Abstract OBJECTIVE To compare the bacteriome of the oral cavity in healthy dogs and dogs with various stages of periodontal disease. ANIMALS Dogs without periodontal disease (n = 12) or with mild (10), moderate (19), or severe (10) periodontal disease. PROCEDURES The maxillary arcade of each dog was sampled with a sterile swab, and swabs were submitted for next-generation DNA sequencing targeting the V1–V3 region of the 16S rRNA gene. RESULTS 714 bacterial species from 177 families were identified. The 3 most frequently found bacterial species were Actinomyces sp (48/51 samples), Porphyromonas cangingivalis (47/51 samples), and a Campylobacter sp (48/51 samples). The most abundant species were P cangingivalis, Porphyromonas gulae, and an undefined Porphyromonas sp. Porphyromonas cangingivalis and Campylobacter sp were part of the core microbiome shared among the 4 groups, and P gulae, which was significantly enriched in dogs with severe periodontal disease, was part of the core microbiome shared between all groups except dogs without periodontal disease. Christensenellaceae sp, Bacteroidales sp, Family XIII sp, Methanobrevibacter oralis, Peptostreptococcus canis, and Tannerella sp formed a unique core microbiome in dogs with severe periodontal disease. CONCLUSIONS AND CLINICAL RELEVANCE Results highlighted that in dogs, potential pathogens can be common members of the oral cavity bacteriome in the absence of disease, and changes in the relative abundance of certain members of the bacteriome can be associated with severity of periodontal disease. Future studies may aim to determine whether these changes are the cause or result of periodontal disease or the host immune response.

scholarly journals PSXIII-29 Farm of origin has a major influence on the colonic microbiome but alterations due to selection for feed efficiency are also evident

2019 ◽  
Vol 97 (Supplement_3) ◽  
pp. 475-475
Author(s):  
Stafford Vigors ◽  
Torres Sweeney
Keyword(s):  
Feed Efficiency ◽  
Hypervariable Region ◽  
Alpha Diversity ◽  
Illumina Miseq ◽  
Nutrient Digestibility ◽  
Major Influence ◽  
Rrna Gene ◽  
Diversity Analysis ◽  
Selection For

Abstract While the intestinal microbiota is functionally important in nutrient digestibility and animal performance, the role of the microbiome in influencing feed efficiency is not well characterised. The objective of this experiment was to determine the relative influence of feed efficiency and farm of origin on the pig colonic microbiome. Animals were sourced from two geographically distinct locations in Ireland (farm A + B) and evaluated to identify pigs divergent in feed efficiency. The 8 most efficient (LRFI) & 8 least efficient (HRFI) pigs from farm A and 12 LRFI & 12 HRFI pigs from farm B were slaughtered. Colonic digesta was collected for sequencing of the V3-V4 hypervariable region of the bacterial 16S rRNA gene was performed on the Illumina MiSeq. Alpha diversity differed between the farms in this study with pigs from farm A having greater diversity based on Shannon and InvSimpson measures compared to pigs from farm B (P &lt; 0.05). In agreement with this observation, pigs grouped by farm of origin rather than RFI in the beta diversity analysis. However, despite variation between farms, interesting taxonomic differences were identified between RFI groups. Within the phylum Bacteroidetes, the LRFI pigs had increased abundance of two families BS11 (P &lt; 0.05) and a tendency towards increased Bacteroidaceae (P &lt; 0.10) relative to the HRFI group. At genus level, the LRFI pigs had a tendency towards increased Bacteroides and CF231 (P &lt; 0.10). In conclusion, while farm of origin has a substantial influence on microbial diversity in the pig colon, a microbial signature indicative of feed efficiency status was evident.

Alterations of gut microbiome in autoimmune hepatitis

Gut ◽  
2019 ◽  
Vol 69 (3) ◽  
pp. 569-577 ◽  
Author(s):  
Yiran Wei ◽  
Yanmei Li ◽  
Li Yan ◽  
Chunyan Sun ◽  
Qi Miao ◽  
...  
Keyword(s):  
Autoimmune Hepatitis ◽  
Gut Microbiome ◽  
Alpha Diversity ◽  
Disease Status ◽  
16S Rrna Gene Sequencing ◽  
Rrna Gene ◽  
Healthy Controls ◽  
Microbial Composition ◽  
Cross Sectional ◽  
Treatment Naïve

ObjectiveThe significance of the liver-microbiome axis has been increasingly recognised as a major modulator of autoimmunity. The aim of this study was to take advantage of a large well-defined corticosteroids treatment-naïve group of patients with autoimmune hepatitis (AIH) to rigorously characterise gut dysbiosis compared with healthy controls.DesignWe performed a cross-sectional study of individuals with AIH (n=91) and matched healthy controls (n=98) by 16S rRNA gene sequencing. An independent cohort of 28 patients and 34 controls was analysed to validate the results. All the patients were collected before corticosteroids therapy.ResultsThe gut microbiome of steroid treatment-naïve AIH was characterised with lower alpha-diversity (Shannon and observed operational taxonomic units, both p<0.01) and distinct overall microbial composition compared with healthy controls (p=0.002). Depletion of obligate anaerobes and expansion of potential pathobionts including Veillonella were associated with disease status. Of note, Veillonella dispar, the most strongly disease-associated taxa (p=8.85E–8), positively correlated with serum level of aspartate aminotransferase and liver inflammation. Furthermore, the combination of four patients with AIH-associated genera distinguished AIH from controls with an area under curves of approximately 0.8 in both exploration and validation cohorts. In addition, multiple predicted functional modules were altered in the AIH gut microbiome, including lipopolysaccharide biosynthesis as well as metabolism of amino acids that can be processed by bacteria to produce immunomodulatory metabolites.ConclusionOur study establishes compositional and functional alterations of gut microbiome in AIH and suggests the potential for using gut microbiota as non-invasive biomarkers to assess disease activity.

scholarly journals Metaproteomics Analysis Reveals the Adaptation Process for the Chicken Gut Microbiota

2013 ◽  
Vol 80 (2) ◽  
pp. 478-485 ◽  
Author(s):  
Yue Tang ◽  
Anthony Underwood ◽  
Adriana Gielbert ◽  
Martin J. Woodward ◽  
Liljana Petrovska
Keyword(s):  
16S Rrna ◽  
Gut Microbiota ◽  
High Throughput Sequencing ◽  
Bacterial Species ◽  
Abundant Species ◽  
Fecal Microbiota ◽  
Rrna Gene ◽  
Sequencing Analysis ◽  
Content Type ◽  
Chicken Gut Microbiota

ABSTRACTThe animal gastrointestinal tract houses a large microbial community, the gut microbiota, that confers many benefits to its host, such as protection from pathogens and provision of essential metabolites. Metagenomic approaches have defined the chicken fecal microbiota in other studies, but here, we wished to assess the correlation between the metagenome and the bacterial proteome in order to better understand the healthy chicken gut microbiota. Here, we performed high-throughput sequencing of 16S rRNA gene amplicons and metaproteomics analysis of fecal samples to determine microbial gut composition and protein expression. 16 rRNA gene sequencing analysis identifiedClostridiales,Bacteroidaceae, andLactobacillaceaespecies as the most abundant species in the gut. For metaproteomics analysis, peptides were generated by using the Fasp method and subsequently fractionated by strong anion exchanges. Metaproteomics analysis identified 3,673 proteins. Among the most frequently identified proteins, 380 proteins belonged toLactobacillusspp., 155 belonged toClostridiumspp., and 66 belonged toStreptococcusspp. The most frequently identified proteins were heat shock chaperones, including 349 GroEL proteins, from many bacterial species, whereas the most abundant enzymes were pyruvate kinases, as judged by the number of peptides identified per protein (spectral counting). Gene ontology and KEGG pathway analyses revealed the functions and locations of the identified proteins. The findings of both metaproteomics and 16S rRNA sequencing analyses are discussed.

scholarly journals SERUM MAGNESIUM LEVEL IN DIABETIC RETINOPATHY - A CROSS SECTIONAL STUDY

2019 ◽  
Vol 3 (5) ◽  
Author(s):  
Dr. I. Vijayapriya ◽  
Dr. Prakash. S ◽  
Dr. S. Hemadharshini
Keyword(s):  
Type 2 Diabetes ◽  
Diabetic Retinopathy ◽  
Serum Magnesium ◽  
Study Groups ◽  
Control Group ◽  
P Value ◽  
Cross Sectional ◽  
The Difference ◽  
And Control

Background: Among different complications of diabetes, ddiabetic retinopathy is one of the leading causes of blindness in the world. Increase in the frequency of lower serum magnesium levels have been reported among patients with diabetes. Materials and methods: A total of 120 subjects were included in this study and divided into 3 groups. The study groups consisted of 40 patients that are type 2 diabetes with retinopathy and 40 patients with type 2 diabetes without retinopathy and control group consisted of 40 healthy subjects respectively. Both cases and controls were subjected to estimation of biochemical parameters. Results: Among the study population, (80) 66.67% participants were cases and another (40) 33.33% participants were controls. Among the people who had mild NPDR, the median Mg was 1.90 (IQR 1.80, 2.00). It was 1.90 (1.70, 2.00), 1.75 (1.67, 1.92), 1.8 (1.69, 2.0) and 2.10 (1.90, 2.20) among people with DM retinopathy moderate NPDR, severe NPDR, Proliferative retinopathy and no retinopathy respectively. The difference in the Mg across DM retinopathy was statistically significant (P Value 0.008). The difference between the values among both the case and control groups for certain parameters such as SBP, FBG, PPBG, HbA1c, Magnesium, Urea, and Creatinine were found to be statistically significant. Conclusion: Serum magnesium levels were significantly lower in patients with diabetic retinopathy compared to diabetics without complications and control group. Keywords:  Diabetes mellitus, Diabetic retinopathy, Magnesium

scholarly journals Tongue microbiome of smokeless tobacco users

2020 ◽  
Author(s):  
Esam Halboub ◽  
Mohammed Alakhali ◽  
Abdulwahhab H. Al-Amir ◽  
Husham E. Homeida ◽  
Divyashri Baraniya ◽  
...  
Keyword(s):  
Smokeless Tobacco ◽  
Alpha Diversity ◽  
16S Rrna Gene Sequencing ◽  
Cross Sectional Study ◽  
Oral Microbiome ◽  
Rrna Gene ◽  
Cross Sectional ◽  
Oral Carcinogenesis ◽  
Rothia Mucilaginosa ◽  
Rrna Gene Sequencing

Abstract Background The possibility that smokeless tobacco may contribute to oral carcinogenesis by influencing the oral microbiome has not been explored. This cross sectional study sought to assess the effect of using shammah, a form of smokeless tobacco prevalent in Arabia, on the tongue microbiome. Tongue scarping samples were obtained from twenty-nine shammah users (SU; 27.34±6.9 years) and 23 shammah non-users (SNU; 27.7±7.19 years) and analyzed with 16S rRNA gene sequencing (V1-V3). Species-level taxonomy assignment of the high-quality, merged reads was obtained using a previously described BLASTn-based algorithm. Downstream analyses were performed with QIIME, LEfSe, and R. Results A total of 178 species, belonging to 62 genera and 8 phyla were identified. Genera Streptococcus , Leptotrichia , Actinomyces , Veillonella , Haemophilus , Prevotella and Neisseria accounted for more than 60% of the average microbiome. There were no differences between the two groups in species richness and alpha-diversity, but PCoA showed significant separation (P=0.015, ANOSIM). LEfSe analysis identified 22 species to be differentially abundant between the SU and SNU. However, only 7 species maintained a false discovery rate of ≤ 0.2 and could cluster the two groups separately: Rothia mucilaginosa , Streptococcus sp. oral taxon 66, Actinomyces meyeri , Streptococcus vestibularis Streptococcus sanguinis and a potentially novel Veillonella species in association with SU, and Oribacterium asaccharolyticum with SNU. Conclusion Shammah use induces tongue microbiome changes that may be relevant to oral carcinogenesis, namely enrichment of species with high acetaldehyde production potential, which warrants further investigation.

Characterization of Periodontal Biofilm in Down Syndrome Patients: A Comparative Study

2013 ◽  
Vol 37 (3) ◽  
pp. 289-296 ◽  
Author(s):  
R E Martinez-Martinez ◽  
J P Loyola-Rodriguez ◽  
S E Bonilla-Garro ◽  
N Patiño-Marin ◽  
D Haubek ◽  
...  
Keyword(s):  
Down Syndrome ◽  
Porphyromonas Gingivalis ◽  
Bacterial Species ◽  
Cross Sectional Study ◽  
Type I ◽  
Cross Sectional ◽  
Wide Range ◽  
Pcr Products ◽  
Immunological Alterations

The aim of this study was to characterize the main periodontal bacterial species in Down syndrome (DS) pa-tients with and without periodontitis. Method: This cross-sectional study involved 75 DS patients, 45 with and 30 without periodontitis. Informed consent, health and dental questionnaires and periodontitis diagnosis were performed. PCR and LAMP assays were performed on subgingival dental plaque sample. Results: Tannerella forsythia was the most frequent bacteria detected in the group with and without periodontitis (95.5 and 63.3%) followed by Treponema denticola (88.8 and 50%) and Porphyromonas gingivalis (53.3 and 25% respectively). There were statistical differences between groups (p&lt;0.05). Pg fimA type I was the most frequent Porphyromonas gingivalis genotype. Two different sets o primers (Aa-F/Aa-R and ltx3/ltx4) were used to detect Aggregatibacter actinomycetemcomitans and different frequencies were obtained, (68% and 14.6% respectively), they had a weak correlation (Cohen Kappa=0.16). After sequencing of PCR products, ltx3/ltx4 showed more specificity. JP2 clone of A. actinomycetemcomitans was not detected in any sample. Conclusions: The composition of oral biofilm is fundamental for the development of periodontal disease independently of immunological alterations associated with DS. The frequency of detection of A. actinomycetemcomitans reported in the literature has a wide range, because the primers and probes applied.

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