Microbial-derived imidazole propionate links the heart failure-associated microbiome alterations to disease severity.

BACKGROUND: Interactions between the gut microbiota, diet, and host metabolism contribute to the development of cardiovascular disease, but a firm link between disease-specific gut microbiota alterations and circulating metabolites is lacking. METHODS: We performed shot-gun sequencing on 235 samples from 166 HF patients and 69 healthy control samples. Separate plasma samples from healthy controls (n = 53) were used for the comparison of imidazole propionate (ImP) levels. Taxonomy and functional pathways for shotgun sequencing data was assigned using MetaPhlAn3 and HUMAnN3 pipelines. RESULTS: Here, we show that heart failure (HF) is associated with a specific compositional and functional shift of the gut microbiota that is linked to circulating levels of the microbial histidine-derived metabolite ImP. Circulating ImP levels are elevated in chronic HF patients compared to controls and associated with HF-related gut microbiota alterations. Contrary to the microbiota composition, ImP levels provide insight into etiology and severity of HF and also associate with markers of intestinal permeability and systemic inflammation. CONCLUSIONS: Our findings establish a connection between changes in the gut microbiota, the presence, etiology, and severity of HF, and the gut-microbially produced metabolite ImP. While ImP appears promising as a circulating biomarker reflecting gut dysbiosis related to HF, further studies are essential to demonstrate its causal or contributing role in HF pathogenesis. TRIAL REGISTRATION: NCT02637167, registered December 22, 2015.

Development of Genomic Tools for the Identification of Certain Pseudomonas up to Species Level.

Pseudomonas is a highly versatile bacterium at the species level with great ecological significance. These genetically and metabolically diverse species have undergone repeated taxonomic revisions. We propose a strategy to identify Pseudomonas up to species level, based on the unique features of their 16S rDNA (rrs) gene sequence, such as the frame work of sequences, sequence motifs and restriction endonuclease (RE) digestion patterns. A species specific phylogenetic framework composed of 31 different rrs sequences, allowed us to segregate 1,367 out of 2,985 rrs sequences of this genus, which have been classified at present only up to genus (Pseudomonas) level, as follows: P. aeruginosa (219 sequences), P. fluorescens (463 sequences), P. putida (347 sequences), P. stutzeri (197 sequences), and P. syringae (141 sequences). These segregations were validated by unique 30-50 nucleotide long motifs and RE digestion patterns in their rrs. A single gene thus provides multiple makers for identification and surveillance of Pseudomonas.

Intestinal fatty acid binding protein is associated with cardiac function and gut dysbiosis in chronic heart failure.

Background: The gut microbiota in patients with chronic heart failure (HF) is characterized by low bacterial diversity and reduced ability to synthesize beneficial metabolites. These changes may facilitate leakage of whole bacteria or bacterial products from the gut into the bloodstream, which may activate the innate immune system and contribute to the low-grade inflammation seen in HF. In this exploratory cross-sectional study, we aimed to investigate relationships between gut microbiota diversity, markers of gut barrier dysfunction, inflammatory markers, and cardiac function in chronic HF patients. Methods: In total, 151 adult patients with stable HF and left ventricular ejection fraction (LVEF) < 40% were enrolled. We measured lipopolysaccharide (LPS), LPS-binding protein (LBP), intestinal fatty acid binding protein (I-FABP), and soluble cluster of differentiation 14 (sCD14) as markers of gut barrier dysfunction. N-terminal pro-B-type natriuretic peptide (NT-proBNP) level above median was used as a marker of severe HF. LVEF was measured by 2D-echocardiography. Stool samples were sequenced using 16S ribosomal RNA gene amplification. Shannon diversity index was used as a measure of microbiota diversity. Results: Patients with severe HF (NT-proBNP > 895 pg/ml) had increased I-FABP (p < 0.001) and LBP (p = 0.03) levels. ROC analysis for I-FABP yielded an AUC of 0.70 (95% CI 0.61-0.79, p < 0.001) for predicting severe HF. A multivariate logistic regression model showed increasing I-FABP levels across quartiles of NT-proBNP (OR 2.09, 95% CI 1.28-3.41, p = 0.003). I-FABP was negatively correlated with Shannon diversity index (rho = -0.30, p = <0.001), and the bacterial genera Ruminococcus gauvreauii group, Bifidobacterium, Clostridium sensu stricto, and Parasutterella, which were depleted in patients with severe HF. Conclusions: In patients with HF, I-FABP, a marker of enterocyte damage, is associated with HF severity and low microbial diversity as part of an altered gut microbiota composition. I-FABP may reflect dysbiosis and may be a marker of gut involvement in patients with HF.

Microbiome-derived cobalamin and succinyl-CoA as biomarkers for improved screening of anal cancer.

Human papillomavirus can cause preinvasive, high-grade squamous intraepithelial lesions (HSILs) as precursors to cancer in the anogenital area, and the microbiome is suggested to be a contributing factor. Men who have sex with men (MSM) living with human immunodeficiency virus (HIV) have a high risk of anal cancer, but current screening strategies for HSIL detection lack specificity. Here, we investigated the anal microbiome to improve HSIL screening. We enrolled participants living with HIV, divided into a discovery (n = 167) and validation cohort (n = 46), and who were predominantly (93.9%) cisgender MSM undergoing HSIL screening with high-resolution anoscopy and anal biopsies. We identified no microbiome composition signatures associated with HSILs, but elevated levels of microbiome-encoded proteins producing succinyl coenzyme A and cobalamin were significantly associated with HSILs in both cohorts. Measurement of these candidate biomarkers alone in anal cytobrushes outperformed anal cytology as a diagnostic indicator for HSILs, increasing the sensitivity from 91.2% to 96.6%, the specificity from 34.1% to 81.8%, and reclassifying 82% of false-positive results as true negatives. We propose that these two microbiome-derived biomarkers may improve the current strategy of anal cancer screening.

Antimicrobial drug use in the first decade of life influences saliva microbiota diversity and composition.

BACKGROUND: The human microbiota contributes to health and well-being. Antimicrobials (AM) have an immediate effect on microbial diversity and composition in the gut, but next to nothing is known about their long-term contribution to saliva microbiota. Our objectives were to investigate the long-term impact of AM use on saliva microbiota diversity and composition in preadolescents. We compared the lifetime effects by gender and AMs. We used data from 808 randomly selected children in the Finnish Health In Teens (Fin-HIT) cohort with register-based data on AM purchases from the Social Insurance Institution of Finland. Saliva microbiota was assessed with 16S rRNA (V3-V4) sequencing. The sequences were aligned to the SILVA ribosomal RNA database and classified and counted using the mothur pipeline. Associations between AM use and alpha-diversity (Shannon index) were identified with linear regression, while associations between beta-diversity (Bray-Curtis dissimilarity) and low, medium or high AM use were identified with PERMANOVA. RESULTS: Of the children, 53.6% were girls and their mean age was 11.7 (0.4) years. On average, the children had 7.4 (ranging from 0 to 41) AM prescriptions during their lifespan. The four most commonly used AMs were amoxicillin (n = 2622, 43.7%), azithromycin (n = 1495, 24.9%), amoxicillin-clavulanate (n = 1123, 18.7%) and phenoxymethylpenicillin (n = 408, 6.8%). A linear inverse association was observed between the use of azithromycin and Shannon index (b - 0.015, p value = 0.002) in all children, the effect was driven by girls (b - 0.032, p value = 0.001), while not present in boys. Dissimilarities were marked between high, medium and low users of all AMs combined, in azithromycin users specifically, and in boys with amoxicillin use. Amoxicillin and amoxicillin-clavulanate use was associated with the largest decrease in abundance of Rikenellaceae. AM use in general and phenoxymethylpenicillin specifically were associated with a decrease of Paludibacter and pathways related to amino acid degradations differed in proportion between high and low AM users. CONCLUSIONS: A systematic approach utilising reliable registry data on lifetime use of AMs demonstrated long-term effects on saliva microbiota diversity and composition. These effects are gender- and AM-dependent. We found that frequent lifelong use of AMs shifts bacterial profiles years later, which might have unforeseen health impacts in the future. Our findings emphasise a concern for high azithromycin use, which substantially decreases bacterial diversity and affects composition as well. Further studies are needed to determine the clinical implications of our findings. Video Abstract.

Meal Regularity Plays a Role in Shaping the Saliva Microbiota.

BACKGROUND: Diet may influence health directly or indirectly via the human microbiota, emphasizing the need to unravel these complex relationships for future health benefits. Associations between eating habits and gut microbiota have been shown, but less is known about the association between eating habits and saliva microbiota. OBJECTIVE: The aim of this study was to investigate if eating habits and meal patterns are associated with the saliva microbiota. METHODS: In total, 842 adolescents, aged 11-14 years, from the Finnish Health in Teens (Fin-HIT) study cohort were included in this study. Eating habits and breakfast and dinner patterns were derived from a web-based questionnaire answered in school. Three major eating habit groups were identified: fruit and vegetable avoiders (FV avoiders), healthy and unhealthy. Microbiota profiles were produced from 16S rRNA gene (V3-V4) sequencing of DNA from the saliva samples. Statistical models were adjusted for gender, age, parental language, body mass index (BMI) categories, and sequencing depth. RESULTS: Regular breakfast eaters had a higher alpha diversity (Shannon index with mean (standard error of means) 2.27 (0.03) vs. 2.22 (0.03), p = 0.06, inverse Simpson's index with 6.27 (0.17) vs. 5.80 (0.02), p = 0.01), and slight differences in bacterial composition (PERMANOVA: p = 0.001) compared with irregular breakfast eaters. A similar trend in alpha diversity was observed between regular and irregular dinner eaters (Shannon index with 2.27 (0.03) vs. 2.22 (0.03), p = 0.054, inverse Simpson's index with 6.23 (0.17) vs. 6.04 (0.22), p = 0.28), while no difference was found in composition (PERMANOVA: p = 0.08). No differences were identified between eating habit groups and saliva microbiota diversity (Shannon index p = 0.77, inverse Simpson's index p = 0.94) or composition (PERMANOVA: p = 0.13). FV avoiders, irregular breakfast eaters and irregular dinner eaters had high abundances of Prevotella. CONCLUSION: Regularity of eating, especially breakfast eating, was associated with more diverse saliva microbiota and different composition compared with irregular eaters. However, the dissimilarities in composition were small between regular and irregular breakfast eaters. Our results suggest that Prevotella abundances in saliva were common in FV avoiders and meal skippers. However, the clinical implications of these findings need to be evaluated in future studies.

Breastfeeding may have a long-term effect on oral microbiota: results from the Fin-HIT cohort.

BACKGROUND: Breastfeeding contributes to gastrointestinal microbiota colonization in early life, but its long-term impact is inconclusive. We aimed to evaluate whether the type of feeding during the first six months of life was associated with oral microbiota in adolescence. METHODS: This is a cross-sectional sub-study using baseline information of 423 adolescents from the Finnish Health in Teens (Fin-HIT) cohort. Type of feeding was recalled by parents and dichotomized as (i) No infant formula; (ii) Infant formula (breastmilk + formula or only formula). Saliva microbiota was analysed using 16S rRNA (V3-V4) sequencing. Alpha diversity and beta diversity were compared between feeding type groups using ANCOVA and PERMANOVA, respectively. Differential bacteria abundance was tested using appropriate general linear models. RESULTS: Mean age and body mass index were 11.7 years and 18.0 kg/m2, respectively. The No formula group contained 41% of the participants. Firmicutes (51.0%), Bacteroidetes (19.1%), and Proteobacteria (16.3%) were the most abundant phyla among all participants. Alpha and beta diversity indices did not differ between the two feeding groups. Three Operational Taxonomic Units (OTUs) belonging to Eubacteria and Veillonella genera (phylum Firmicutes) were more abundant in the No formula than in the Infant formula group (log2fold changes/ p - values - 0.920/ < 0.001, - 0.328/ 0.001, - 0.577/ 0.004). CONCLUSION: Differences exist in abundances of some OTUs in adolescence according to feeding type during the first six months of life, but our findings do not support diversity and overall oral microbiota composition in adolescents being affected by early feeding type.

Gender-Specific Associations Between Saliva Microbiota and Body Size.

OBJECTIVE: The human intestinal microbiota likely play an important role in the development of overweight and obesity. However, the associations between saliva microbiota and body mass index (BMI) have been sparsely studied. The aim of this study was to identify the associations between saliva microbiota and body size in Finnish children. METHODS: The saliva microbiota of 900 Finnish children, aged 11-14 years with measured height and weight, was characterized using 16S rRNA (V3-V4) sequencing. RESULTS: The core saliva microbiota consisted of 14 genera that were present in more than 95% of the Finnish children. The saliva microbiota profiles were gender-specific with higher alpha-diversity in boys than girls and significant differences between the genders in community composition and abundances. Alpha-diversity differed between normal weight and overweight girls and between normal weight and obese boys. The composition was dissimilar between normal weight and obese girls, but not in boys. The relative abundance profiles differed according to body size. Decrease in commensal saliva bacteria were observed in all the body sizes when compared to normal weight children. Notably, the relative abundance of bacteria related to, Veillonella, Prevotella, Selenomonas, and Streptococcus was reduced in obese children. CONCLUSION: Saliva microbiota diversity and composition were significantly associated with body size and gender in Finnish children. Body size-specific saliva microbiota profiles open new avenues for studying the potential roles of microbiota in weight development and management.

Reproducibility and repeatability of six high-throughput 16S rDNA sequencing protocols for microbiota profiling.

Culture-independent molecular techniques and advances in next generation sequencing (NGS) technologies make large-scale epidemiological studies on microbiota feasible. A challenge using NGS is to obtain high reproducibility and repeatability, which is mostly attained through robust amplification. We aimed to assess the reproducibility of saliva microbiota by comparing triplicate samples. The microbiota was produced with simplified in-house 16S amplicon assays taking advantage of large number of barcodes. The assays included primers with Truseq (TS-tailed) or Nextera (NX-tailed) adapters and either with dual index or dual index plus a 6-nt internal index. All amplification protocols produced consistent microbial profiles for the same samples. Although, in our study, reproducibility was highest for the TS-tailed method. Five replicates of a single sample, prepared with the TS-tailed 1-step protocol without internal index sequenced on the HiSeq platform provided high alpha-diversity and low standard deviation (mean Shannon and Inverse Simpson diversity was 3.19 ±â€¯0.097 and 13.56 ±â€¯1.634 respectively). Large-scale profiling of microbiota can consistently be produced by all 16S amplicon assays. The TS-tailed-1S dual index protocol is preferred since it provides repeatable profiles on the HiSeq platform and are less labour intensive.

Mining and assessment of catabolic pathways in the metagenome of a common effluent treatment plant to induce the degradative capacity of biomass.

Metagenome analysis was used to understand the microbial community in activated sludge treating industrial wastewaters at a Common Effluent Treatment Plant (CETP) in South India. The taxonomic profile mapped onto National Center for Biotechnology Information (NCBI) taxonomy using MEtaGenome ANalyzer (MEGAN), demonstrated that the most abundant domain belonged to prokaryotes, dominated by bacteria. Bacteria representing nine phyla were identified from the sequence data including representatives from two new phyla, Synergistetes and Elusimicrobia. Functional analysis of the metagenome, with specific reference to the metabolism of aromatic compounds, revealed the dominance of genes of the central meta-cleavage pathway. This information was used to improve the degradative efficiency in the wastewater treatment plant. A pilot scale plant was set up with 200L of activated sludge using salicylate induced sludge and results demonstrated 52% removal in chemical oxygen demand (COD) against non-induced biomass.

Pseudomonas putida CSV86: a candidate genome for genetic bioaugmentation.

Pseudomonas putida CSV86, a plasmid-free strain possessing capability to transfer the naphthalene degradation property, has been explored for its metabolic diversity through genome sequencing. The analysis of draft genome sequence of CSV86 (6.4 Mb) revealed the presence of genes involved in the degradation of naphthalene, salicylate, benzoate, benzylalcohol, p-hydroxybenzoate, phenylacetate and p-hydroxyphenylacetate on the chromosome thus ensuring the stability of the catabolic potential. Moreover, genes involved in the metabolism of phenylpropanoid and homogentisate, as well as heavy metal resistance, were additionally identified. Ability to grow on vanillin, veratraldehyde and ferulic acid, detection of inducible homogentisate dioxygenase and growth on aromatic compounds in the presence of heavy metals like copper, cadmium, cobalt and arsenic confirm in silico observations reflecting the metabolic versatility. In silico analysis revealed the arrangement of genes in the order: tRNA(Gly), integrase followed by nah operon, supporting earlier hypothesis of existence of a genomic island (GI) for naphthalene degradation. Deciphering the genomic architecture of CSV86 for aromatic degradation pathways and identification of elements responsible for horizontal gene transfer (HGT) suggests that genetic bioaugmentation strategies could be planned using CSV86 for effective bioremediation.

Genome Sequence of Naphthalene-Degrading Soil Bacterium Pseudomonas putida CSV86.

Pseudomonas putida CSV86, a soil isolate, preferentially utilizes naphthalene over glucose as a source of carbon and energy. We present the draft genome sequence, which is 6.4 Mb in size; analysis suggests the chromosomal localization of genes coding for naphthalene utilization. The operons coding for glucose and other aromatic compounds might also be annotated in another study.

Genomic analysis reveals versatile organisms for quorum quenching enzymes: acyl-homoserine lactone-acylase and -lactonase.

Microbial virulence and their resistance to multiple drugs have obliged researchers to look for novel drug targets. Virulence of pathogenic microbes is regulated by signal molecules such as acylated homoserine lactone (AHL) produced during a cell density dependent phenomenon of quorum sensing (QS). In contrast, certain microbes produce AHL-lactonases and -acylases to degrade QS signals, also termed as quorum quenching. Mining sequenced genome databases has revealed organisms possessing conserved domains for AHL-lactonases and -acylases: i) Streptomyces (Actinobacteria), ii) Deinococcus (Deinococcus-Thermus), iii) Hyphomonas (α-Proteobacteria), iv) Ralstonia (ß-Proteobacteria), v) Photorhabdus (γ-Proteobacteria), and certain marine gamma proteobacterium. Presence of genes for both the enzymes within an organism was observed in the following: i) Deinococcus radiodurans R1, ii) Hyphomonas neptunium ATCC 15444 and iii) Photorhabdus luminescens subsp. laumondii TTO1. These observations are supported by the presence motifs for lactonase and acylase in these strains. Phylogenetic analysis and multiple sequence alignment of the gene sequences for AHL-lactonases and -acylases have revealed consensus sequences which can be used to design primers for amplifying these genes even among mixed cultures and metagenomes. Quorum quenching can be exploited to prevent food spoilage, bacterial infections and bioremediation.

Degradative potential of Stenotrophomonas strain HPC383 having genes homologous to dmp operon.

A strain, Stenotrophomonas HPC383 is isolated from effluent treatment plant treating wastewater from pesticide industry; degrades various aromatic compounds (cresols, phenol, catechol, 4methyl-catechol and hydroquinone) and crude oil, as determined through HPLC and GC analysis. Culture HPC383 could degrade (%) various compounds (1 mM) from a mixture: phenol - 99, p-cresol - 100, 4-methylcatechol - 96 and hydroquinone - 43 within 48 h of incubation, whereas it took 7 days to degrade 94% of 0.5% crude oil. Gene locus dmpN, to identify phenol degrading capacity was determined by PCR followed by southern analysis. The sequenced DNA fragment exhibited 99% sequence similarity to phenol hydroxylase gene from Arthrobacter sp. W1 (FJ610336). Amino acid sequence analysis of phenol hydroxylase reveals it to belong to high-Ks (affinity constant) group. Application of HPC383 in bioremediation of aquatic and terrestrial sites contaminated with petrochemical has been suggested.

Evaluation of genetic and functional diversity of Stenotrophomonas isolates from diverse effluent treatment plants.

In this study, the samples were collected from nine ETPs and soil contaminated with petroleum products. The genetic diversity of 30 Stenotrophomonas isolates was demonstrated by phylogenetic analysis of their 16S rRNA gene nucleotide sequences, and randomly amplified polymorphic DNA (RAPD) analysis supplemented with in silico signature and restriction enzyme (REs--AluI, BfaI, DpnII, HaeIII, RsaI and Tru9I) digestion analyses. Genetic diversity based on nucleotide sequence data revealed distinct clusters. Functional diversity was analysed on the basis of the abilities of these isolates to degrade phenol, p-cresol, catechol, 4-methylcatechol and hydroquinone. Based on the environmental, genetic and functional diversities, a consortium of mixed defined microbes has been proposed for bioremediation programs.