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Metagenome Investigation of Ocular Microbiota of Cataract Patients With and Without Type 2 Diabetes.Translational Vision Science &... Jun 2023Our objective was to investigate differences in the ocular surface bacterial composition in cataract patients with and without type 2 diabetes (T2D).
PURPOSE
Our objective was to investigate differences in the ocular surface bacterial composition in cataract patients with and without type 2 diabetes (T2D).
METHODS
Twenty-four diabetic patients with cataracts (group D) and 14 sex- and age-matched patients with age-related cataracts (group N) were recruited for this study. All samples underwent DNA extraction, fragmentation, purification, library construction, and metagenomic sequencing.
RESULTS
The overall conjunctival sac bacterial composition was similar between group D and group N, as determined by alpha diversity and beta diversity. Nevertheless, significant differences were observed in the relative abundance of specific bacteria. At the phylum level, group D had a significantly lower abundance of Chlamydiae, Tenericutes, Chloroflexi, Cyanobacteria, Cossaviricota, Chytridiomycota, Artverviricota, Zoopagomycota, Peploviricota, Deinococcus-Thermus, Preplasmiviricota, and Nucleocytoviricota. At the genus level, group D had a significantly lower abundance of Chlamydia, Mycoplasma, Salmonella, Chryseobacterium, Roseovarius, Desulfococcus, Kangiella, Anaerococcus, and Idiomarina but a significantly higher abundance of Parabacteroides, Phocaeicola, and Sphingomonas. Bacteria such as Aquificae, Parabacteroides, Flavobacterium, Austwickia, Aquifex, Tenacibaculum, and Chryseobacterium in group D and Tenericutes, Chlamydiae, Porphyromonas, Mycoplasma, Chlamydia, Kangiella, Idiomarina, Roseovarius, Aliiroseovarius, and Desulfococcus in group N could be used as conjunctival sac biomarkers, according to the linear discriminant analysis effect size. Gene Ontology functional annotation indicated that bacterial catalytic activity, metabolic processes, locomotion, virion, and reproduction were enriched in group D, while immune system processes were enriched in group N. In addition, the top 30 differentially expressed virulence factors (VFs) were all more enriched in group D.
CONCLUSIONS
The bacterial composition was similar between the two groups. Several bacterial strains that were reported beneficial in gut were decreased, and pathogenic bacteria were increased in T2D. Furthermore, group D had more active bacterial terms and increased VF expression, suggesting that the susceptibility of diabetic patients to infection is closely related to functional changes in the ocular surface flora. Our conjunctival microbiota atlas provides a reference for investigating ocular complications related to diabetes.
TRANSLATIONAL RELEVANCE
The altered composition and functional profile of the ocular microbial community in diabetic patients offer evidence for the need to prevent infection during cataract surgery.
Topics: Humans; Bacteria; Cataract; Conjunctiva; Diabetes Mellitus, Type 2; Metagenome; Microbiota; Male; Female
PubMed: 37261381
DOI: 10.1167/tvst.12.6.1 -
Journal of Medical Microbiology Mar 2024There is growing evidence that altered microbiota abundance of a range of specific anaerobic bacteria are associated with cancer, including spp., spp., spp., spp.,... (Review)
Review
There is growing evidence that altered microbiota abundance of a range of specific anaerobic bacteria are associated with cancer, including spp., spp., spp., spp., spp., spp spp and spp. linked to multiple cancer types. In this review we explore these pathogenic associations. The mechanisms by which bacteria are known or predicted to interact with human cells are reviewed and we present an overview of the interlinked mechanisms and hypotheses of how multiple intracellular anaerobic bacterial pathogens may act together to cause host cell and tissue microenvironment changes associated with carcinogenesis and cancer cell invasion. These include combined effects on changes in cell signalling, DNA damage, cellular metabolism and immune evasion. Strategies for early detection and eradication of anaerobic cancer-associated bacterial pathogens that may prevent cancer progression are proposed.
Topics: Humans; Bacteria, Anaerobic; Carcinogenesis; Immune Evasion; Porphyromonas; Signal Transduction; Tumor Microenvironment
PubMed: 38535967
DOI: 10.1099/jmm.0.001817 -
Kidney360 Oct 2023, , , and are the most common genera in the anterior nares. The nasal abundance of is inversely correlated with the nasal abundance of . Peritoneal dialysis patients...
KEY POINTS
, , , and are the most common genera in the anterior nares. The nasal abundance of is inversely correlated with the nasal abundance of . Peritoneal dialysis patients have a distinctly diverse representation of and in their anterior nares.
BACKGROUND
The nasal passages harbor both commensal and pathogenic bacteria that can be associated with infectious complications. The nasal microbiome in peritoneal dialysis (PD) patients, however, has not been well characterized. In this study, we sought to characterize the anterior nasal microbiota in PD patients and assess its association with PD peritonitis.
METHODS
In this study, we recruited 32 PD patients, 37 kidney transplant (KTx) recipients, and 22 living donor/healthy control (HC) participants and collected their anterior nasal swabs at a single point in time. We followed the PD patients for future development of peritonitis. We performed 16S ribosomal RNA (rRNA) gene sequencing of the V4–V5 hypervariable region to determine the nasal microbiota. We compared nasal abundance of common genera among the three groups using Wilcoxon rank-sum test with Benjamini–Hochberg adjustment. DESeq2 was also used to compare the groups at the amplicon sequence variant levels.
RESULTS
In the entire cohort, the most abundant genera in the nasal microbiota included , , , and . Correlational analyses revealed a significant inverse relationship between the nasal abundance of and that of . PD patients have a higher nasal abundance of than KTx recipients and HC participants. PD patients have a more diverse representation of and than KTx recipients and HC participants. PD patients who concurrently have or who developed future peritonitis had a numerically higher nasal abundance of than PD patients who did not develop peritonitis.
CONCLUSIONS
We find a distinct nasal microbiota signature in PD patients compared with KTx recipients and HC participants. Given the potential relationship between the nasal pathogenic bacteria and infectious complications, further studies are needed to define the nasal microbiota associated with these infectious complications and to conduct studies on the manipulation of the nasal microbiota to prevent such complications.
Topics: Humans; Nose; Peritoneal Dialysis; Microbiota
PubMed: 37642987
DOI: 10.34067/KID.0000000000000249 -
Current Sexual Health Reports Sep 2020Focusing on studies published within the last decade, we review the literature on the seminal microbiome and male factor infertility. We highlight potential mechanisms...
PURPOSE OF REVIEW
Focusing on studies published within the last decade, we review the literature on the seminal microbiome and male factor infertility. We highlight potential mechanisms by which microbes may impact fertility and underscore key limitations and clinical implications of these studies.
RECENT FINDINGS
The seminal microbiome encompasses a metabolically and phylogenetically diverse group of microorganisms. was consistently associated with normal semen analysis parameters and fertility; was negatively associated with semen quality. These microbes may participate in a complex cross-talk with the host immune system, thereby modulating local and perhaps systemic inflammatory responses, impacting semen quality.
SUMMARY
Research investigating the intersection between the seminal microbiome and male fertility is still in its infancy. Recent investigations have been exclusively cross-sectional, correlational studies, limiting the clinical applicability of published research. Prospective studies with more sophisticated methodologies are necessary.
PubMed: 33746642
DOI: 10.1007/s11930-020-00273-5 -
BioRxiv : the Preprint Server For... Jun 2023Chronic polymicrobial infections (cPMIs) harbor complex bacterial communities with diverse metabolic capacities, leading to competitive and cooperative interactions....
Chronic polymicrobial infections (cPMIs) harbor complex bacterial communities with diverse metabolic capacities, leading to competitive and cooperative interactions. Although the microbes present in cPMIs have been established through culture-dependent and-independent methods, the key functions that drive different cPMIs and the metabolic activities of these complex communities remain unknown. To address this knowledge gap, we analyzed 102 published metatranscriptomes collected from cystic fibrosis sputum (CF) and chronic wound infections (CW) to identify key bacterial members and functions in cPMIs. Community composition analysis identified a high prevalence of pathogens, particularly and , and anaerobic members of the microbiota, including Functional profiling with HUMANn3 and SAMSA2 revealed that while functions involved in bacterial competition, oxidative stress response, and virulence were conserved across both chronic infection types, >40% of the functions were differentially expressed (padj < 0.05, fold-change >2). Higher expression of antibiotic resistance and biofilm functions were observed in CF, while tissue destructive enzymes and oxidative stress response functions were highly expressed in CW samples. Of note, strict anaerobes had negative correlations with traditional pathogens in both CW ( = -0.43) and CF ( = -0.27) samples and they significantly contributed to the expression of these functions. Additionally, we show microbial communities have unique expression patterns and distinct organisms fulfill the expression of key functions in each site, indicating the infection environment strongly influences bacterial physiology and that community structure influences function. Collectively, our findings indicate that community composition and function should guide treatment strategies for cPMIs.
PubMed: 37333206
DOI: 10.1101/2023.06.06.543868 -
BMC Medicine Mar 2023Preterm premature rupture of membranes (PPROM), which is associated with vaginal dysbiosis, is responsible for up to one-third of all preterm births. Consecutive...
BACKGROUND
Preterm premature rupture of membranes (PPROM), which is associated with vaginal dysbiosis, is responsible for up to one-third of all preterm births. Consecutive ascending colonization, infection, and inflammation may lead to relevant neonatal morbidity including early-onset neonatal sepsis (EONS). The present study aims to assess the vaginal microbial composition of PPROM patients and its development under standard antibiotic therapy and to evaluate the usefulness of the vaginal microbiota for the prediction of EONS. It moreover aims to decipher neonatal microbiota at birth as possible mirror of the in utero microbiota.
METHODS
As part of the PEONS prospective multicenter cohort study, 78 women with PPROM and their 89 neonates were recruited. Maternal vaginal and neonatal pharyngeal, rectal, umbilical cord blood, and meconium microbiota were analyzed by 16S rRNA gene sequencing. Significant differences between the sample groups were evaluated using permutational multivariate analysis of variance and differently distributed taxa by the Mann-Whitney test. Potential biomarkers for the prediction of EONS were analyzed using the MetaboAnalyst platform.
RESULTS
Vaginal microbiota at admission after PPROM were dominated by Lactobacillus spp. Standard antibiotic treatment triggers significant changes in microbial community (relative depletion of Lactobacillus spp. and relative enrichment of Ureaplasma parvum) accompanied by an increase in bacterial diversity, evenness and richness. The neonatal microbiota showed a heterogeneous microbial composition where meconium samples were characterized by specific taxa enriched in this niche. The vaginal microbiota at birth was shown to have the potential to predict EONS with Escherichia/Shigella and Facklamia as risk taxa and Anaerococcus obesiensis and Campylobacter ureolyticus as protective taxa. EONS cases could also be predicted at a reasonable rate from neonatal meconium communities with the protective taxa Bifidobacterium longum, Agathobacter rectale, and S. epidermidis as features.
CONCLUSIONS
Vaginal and neonatal microbiota analysis by 16S rRNA gene sequencing after PPROM may form the basis of individualized risk assessment for consecutive EONS. Further studies on extended cohorts are necessary to evaluate how far this technique may in future close a diagnostic gap to optimize and personalize the clinical management of PPROM patients.
TRIAL REGISTRATION
NCT03819192, ClinicalTrials.gov. Registered on January 28, 2019.
Topics: Infant, Newborn; Female; Pregnancy; Humans; Neonatal Sepsis; Premature Birth; Pregnant Women; Cohort Studies; Prospective Studies; RNA, Ribosomal, 16S; Anti-Bacterial Agents; Microbiota
PubMed: 36907851
DOI: 10.1186/s12916-023-02805-x -
PeerJ 2022Human skin harbors complex transient and resident microbial communities that show intra- & inter-individual variation due to various environmental and host-associated...
BACKGROUND
Human skin harbors complex transient and resident microbial communities that show intra- & inter-individual variation due to various environmental and host-associated factors such as skin site, diet, age, gender, genetics, or the type and use of cosmetics. This variation remains largely uncharacterized in the Indian population; hence, the present study aims to characterize the variation in skin microbiota among individuals of Indian origin and quantify associations with age, diet, and geography.
METHODS
Axillary sweat samples from genetically unrelated individuals ( = 58) residing in the three geographical locations of Maharashtra, India, were collected using a sterile cotton swab. Bacterial DNA was extracted using a standard protocol and checked for quality. Variable regions (V3-V4) of the gene were sequenced using the Illumina platform. We used standard methods from microbiota bioinformatics, including alpha and beta diversity, community typing, and differential abundance, to quantify the association of skin microbiota with age, diet, and geographical location.
RESULTS
Our study indicated the prevalence of phyla- , , and , consistent with previous reports on skin microbiota composition of the world population level. The alpha diversity (Shannon index) was significantly associated with the age group (Kruskal-Wallis test, = 0.02), but not with geography ( = 0.62) or diet ( = 0.74). The overall skin microbiota community composition was significantly associated with geographical location based on Community State Types (CST) analysis and PERMANOVA (R = 0.07, = 0.01). Differential abundance analysis at the genus level indicated a distinctively high abundance of and among individuals of the Pune district. and were abundant in individuals from Ahmednagar whereas, and were abundant in individuals from Nashik district.
CONCLUSION
Our work provides one of the first characterizations of skin microbiota variation in different sub-populations in India. The analysis quantifies the level of individuality, as contrasted to the other factors of age, geography, and diet, thus helping to evaluate the applicability of skin microbiota profiles as a potential biomarker to stratify individuals.
Topics: Humans; RNA, Ribosomal, 16S; India; Bacteria; Microbiota; Firmicutes
PubMed: 35313523
DOI: 10.7717/peerj.13075 -
Frontiers in Microbiology 2021Non-alcoholic fatty liver disease (NAFLD) is the leading cause of chronic liver disease in western countries both in children and adults. Metabolic dysregulation...
Non-alcoholic fatty liver disease (NAFLD) is the leading cause of chronic liver disease in western countries both in children and adults. Metabolic dysregulation associated with gut microbial dysbiosis may influence disease progression from hepatic steatosis to inflammation and subsequent fibrosis. Using a multi-omics approach, we profiled the oral and fecal microbiome and plasma metabolites from 241 predominantly Latino children with non-alcoholic steatohepatitis (NASH), non-alcoholic fatty liver (NAFL), and controls. Children with more severe liver pathology were dysbiotic and had increased gene content associated with lipopolysaccharide biosynthesis and lipid, amino acid and carbohydrate metabolism. These changes were driven by increases in Bacteroides and concomitant decreases of , , , and . Non-targeted mass spectrometry revealed perturbations in one-carbon metabolism, mitochondrial dysfunction, and increased oxidative stress in children with steatohepatitis and fibrosis. Random forests modeling of plasma metabolites was highly predictive of non-alcoholic steatohepatitis (NASH) (97% accuracy) and hepatic fibrosis, steatosis and lobular inflammation (93.8% accuracy), and can differentiate steatohepatitis from simple steatosis (90.0% accuracy). Multi-omics predictive models for disease and histology findings revealed perturbations in one-carbon metabolism, mitochondrial dysfunction, and increased oxidative stress in children with steatohepatitis and fibrosis. These results highlight the promise of non-invasive biomarkers for the growing epidemic of fatty liver disease.
PubMed: 34475864
DOI: 10.3389/fmicb.2021.713234 -
Biomedicines Sep 2022Recent advances in next-generation sequencing and metagenomic studies have provided insights into the microbial profile of different body sites. However, research on the...
Recent advances in next-generation sequencing and metagenomic studies have provided insights into the microbial profile of different body sites. However, research on the microbial composition of urine is limited, particularly in children. The goal of this study was to optimize and develop reproducible metagenome and virome protocols using a small volume of urine samples collected from healthy children. We collected midstream urine specimens from 40 healthy children. Using the metagenomics shotgun approach, we tested various protocols. Different microbial roots such as Archaea, Bacteria, Eukaryota, and Viruses were successfully identified using our optimized urine protocol. Our data reflected much variation in the microbial fingerprints of children. Girls had significantly higher levels of Firmicutes, whereas boys had significantly higher levels of Actinobacteria. The genus Anaerococcus dominated the urinary bacteriome of healthy girls, with a significant increase in Anaerococcus prevotii, Anaerococcus vaginalis, and Veillonella parvula (p-value < 0.001) when compared with that of boys. An increased relative abundance of Xylanimonas and Arthrobacter, with a significantly high abundance of Arthrobacter sp. FB24 (p-value 0.0028) and Arthrobacter aurescences (p-value 0.015), was observed in boys. The urinary mycobiome showed a significant rise in the genus Malassezia and Malassezia globose fungus (p-value 0.009) in girls, whereas genus Saccharomyces (p-value 0.009) was significantly high in boys. The beta diversity of the urinary mycobiome was found to differ between different age groups. Boys had significantly more Mastadenovirus and Human mastadenovirus-A in their urinary virome than girls. With increasing age, we noticed an increase in the relative abundance of the order Caudovirales. Our optimized protocols allowed us to identify the unique microbes for each sex by using an adequate volume of urine (3−10 mL) to screen for the bacteriome, mycobiome, and virome profiles in the urine of healthy children. To the best of our knowledge, this is the first study to characterize the metagenomics profiles of urine in a healthy pediatric population.
PubMed: 36289674
DOI: 10.3390/biomedicines10102412 -
Scientific Reports Jan 2021To date there are thirteen species validly assigned to the genus Anaerococcus. Most of the species in this genus are anaerobic and of human origin. Anaerococcus...
To date there are thirteen species validly assigned to the genus Anaerococcus. Most of the species in this genus are anaerobic and of human origin. Anaerococcus urinimassiliensis sp. nov., strain Marseille-P2143 is member of family Peptoniphilaceae, which was isolated from the urine of a 17-year-old boy affected by autoimmune hepatitis and membranoproliferative glomerulonephritis using the culturomic approach. In the current study, a taxono-genomics method was employed to describe this new species. The strain Marseille-P2143 was gram positive cocci with translucent colonies on blood agar. Its genome was 2,189,509 bp long with a 33.5 mol% G + C content and exhibited 98.48% 16S rRNA similarity with Anaerococcus provencensis strain 9,402,080. When Anaerococcus urinomassiliensis strain Marseill-P2143 is compared with closely related species, the values ranged from 71.23% with A. hydrogenalis strain DSM 7454 (NZ_ABXA01000052.1) to 90.64% with A. provencensis strain 9402080 (NZ_HG003688.1). This strain has implemented the repertoire of known bacteria of the human urinary tract.
Topics: Adolescent; Firmicutes; Glomerulonephritis, Membranoproliferative; Hepatitis, Autoimmune; Humans; Male; Urine
PubMed: 33514860
DOI: 10.1038/s41598-021-82420-z