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Sexual Medicine Aug 2023The loop electrosurgical excision procedure (LEEP) to treat cervical dysplasia (CD) is known to alter the cervical microbiota, the community of bacteria that play a...
BACKGROUND
The loop electrosurgical excision procedure (LEEP) to treat cervical dysplasia (CD) is known to alter the cervical microbiota, the community of bacteria that play a central role in female genital health. Perturbations to the microbiota of the female urogenital tract (FUT), including the urethra, vagina, and cervix, have been linked with symptoms of sexual dysfunction (SD), though correlations among LEEP, the microenvironment, and SD have not yet been described.
AIMS
To characterize the FUT microbiota before and after LEEP and investigate possible associations with SD.
METHODS
Females undergoing LEEP for CD were recruited to participate in the study. Urinary samples and vaginal and cervical swabs were collected immediately before and 3 months after treatment. Bacterial communities were characterized by 16S rRNA next-generation sequencing. Self-report surveys assessing demographics, medical history, and sexual function were completed at the same intervals.
OUTCOMES
Microbiota taxonomy and Female Sexual Function Index (FSFI) scores.
RESULTS
Alpha diversity revealed a significant decrease in species richness in the FUT microbiota post-LEEP. Beta diversity demonstrated significant differences among the cervical, urinary, and vaginal microenvironments pre- and post-LEEP. spp were the dominant microbial genus in the cervical microenvironment pre- and post-LEEP. Although the vaginal and urinary microenvironments were characterized by pre-LEEP, they were colonized by post-LEEP. Following LEEP, some participants experienced a significant increase in proinflammatory bacteria, including the genera , , , , and Others experienced significant decreases in inflammatory and protective bacteria post-LEEP, including , , , and Overall there were no significant changes in pre- and post-LEEP FSFI scores. However, post-LEEP FSFI scores were seemingly associated with changes in inflammatory bacteria in some participants.
CLINICAL IMPLICATIONS
There is an overall reduction in FUT microbiota dysbiosis post-LEEP. However, we show variability as some participants experienced persistent dysbiosis of FUT microbiota and elevated FSFI scores, suggesting that therapies to treat dysbiosis of FUT microbiota may reduce FSFI scores, thereby improving SD symptoms.
STRENGTHS AND LIMITATIONS
We demonstrate novel associations among urogenital sites, microbiota changes, LEEP, and SD. The small sample size and inability of species classification are limitations.
CONCLUSION
Diverse inflammatory microbiota characterizes CD in the FUT, and LEEP mostly returns microenvironments to a healthy state. However, some participants have persistent inflammatory bacteria post-LEEP, suggesting a non-uniform healing response. This study provides an impetus for future longitudinal studies to monitor and restore FUT microenvironments post-LEEP, aimed at mitigating postoperative SD symptoms.
PubMed: 37588087
DOI: 10.1093/sexmed/qfad039 -
Journal of Periodontal Research Oct 2023To investigate the existence of any association between new putative periodontal pathogens and periodontitis. Two independent reviewers conducted electronic literature... (Meta-Analysis)
Meta-Analysis Review
To investigate the existence of any association between new putative periodontal pathogens and periodontitis. Two independent reviewers conducted electronic literature searches in the MEDLINE (PubMed), EMBASE, DOSS and Google Scholar databases as well as a manual search to identify eligible clinical studies prior to November 2022. Studies comparing the prevalence of microorganisms other than the already-known periodontal pathogens in subgingival plaque and/or saliva samples between subjects with periodontitis and subject with periodontal health were included. Meta-analyses were performed on data provided by the included studies. Fifty studies including a total of 2739 periodontitis subjects and 1747 subjects with periodontal health were included. The Archaea domain and 25 bacterial species (Anaeroglobus geminatus, Bacteroidales [G-2] bacterium HMT 274, Desulfobulbus sp. HMT 041, Dialister invisus, Dialister pneumosintes, Eubacterium brachy, Enterococcus faecalis, Eubacterium nodatum, Eubacterium saphenum, Filifactor alocis, Fretibacterium sp. HMT 360, Fretibacterium sp. HMT 362, Mogibacterium timidum, Peptoniphilaceae sp. HMT 113, Peptostreptococcus stomatis, Porphyromonas endodontalis, Slackia exigua, Streptococcus gordonii, Selenomonas sputigena, Treponema amylovorum, Treponema lecithinolyticum, Treponema maltophilum, Treponema medium, Treponema parvum and Treponema socranskii) were found to be statistically significantly associated with periodontitis. Network studies should be conducted to investigate the role of these newly identified periodontitis-associated microorganisms through interspecies interaction and host-microbe crosstalk analyses.
Topics: Humans; Bacteria; Periodontitis; Dental Plaque; Bacteroides; Eubacterium
PubMed: 37572051
DOI: 10.1111/jre.13173 -
ACS Infectious Diseases Sep 2023Changes in the oral microbiome are associated with oral squamous cell carcinoma (OSCC). Oral microbe-derived signatures have been utilized as markers of OSCC. However,...
Changes in the oral microbiome are associated with oral squamous cell carcinoma (OSCC). Oral microbe-derived signatures have been utilized as markers of OSCC. However, the structure of the oral microbiome during OSCC recurrence and biomarkers for the prediction of OSCC recurrence remains unknown. To identify OSCC recurrence-associated microbial biomarkers for the prediction of OSCC recurrence, we performed 16S rRNA amplicon sequencing on 54 oral swab samples from OSCC patients. Differences in bacterial compositions were observed in patients with vs without recurrence. We found that , , , , , , , , and were enriched in OSCC recurrence. Functional analysis of the oral microbiome showed altered functions associated with OSCC recurrence compared with nonrecurrence. A random forest prediction model was constructed with five microbial signatures including , , , , and to discriminate OSCC recurrence from original OSCC (accuracy = 0.963). Moreover, we validated the prediction model in another independent cohort (46 OSCC patients), achieving an accuracy of 0.761. We compared the accuracy of the prediction of OSCC recurrence between the five microbial signatures and two clinicopathological parameters, including resection margin and lymph node counts. The results predicted by the model with five microbial signatures showed a higher accuracy than those based on the clinical outcomes from the two clinicopathological parameters. This study demonstrated the validity of using recurrence-related microbial biomarkers, a noninvasive and effective method for the prediction of OSCC recurrence. Our findings may contribute to the prognosis and treatment of OSCC recurrence.
Topics: Humans; Mouth Neoplasms; Carcinoma, Squamous Cell; Squamous Cell Carcinoma of Head and Neck; RNA, Ribosomal, 16S; Biomarkers; Head and Neck Neoplasms
PubMed: 37565768
DOI: 10.1021/acsinfecdis.3c00269 -
Zhurnal Nevrologii I Psikhiatrii Imeni... 2023To assess the level of microbiota markers in the blood and cerebrospinal fluid (CSF) of patients with different types of multiple sclerosis (MS), people with...
OBJECTIVE
To assess the level of microbiota markers in the blood and cerebrospinal fluid (CSF) of patients with different types of multiple sclerosis (MS), people with radiologically isolated syndrome (RIS) and control subjects.
MATERIAL AND METHODS
We used gas chromatography-mass spectrometry (GC-MS) to evaluate the levels of microbiota markers in 69 patients with different types of MS (27 patients in the acute stage, 35 patients with MS in remission, 7 patients with primary-progressive MS), 10 people with RIS, and 47 control subjects (different diseases of the nervous system of a non-autoimmune or inflammatory nature).
RESULTS
We showed a statistically significant increase in the content of various microbiota markers in the CSF of patients with MS compared with the control group. We found no change in the content of these markers in blood of patients with MS. This suggests a change of markers of microbial load at the level of the central nervous system, but not at the level of the whole organism. The greatest number of statistically significant differences with the control group was found in the content of markers in CSF of patients with MS in remission. In the acute stage, on the contrary, we found no statistically significant differences compared to the control group. In particular, in CSF of patients with MS in remission, a statistically significant increase in the content of bacterial plasmalogen (4.5 times), and increase in the level of microbial markers specific to , as well as an increase of markers of the Epstein-Barr virus were found. In addition, there was an increase of campesterol, the likely source of which is campesterol-producing microfungi. In the CSF of subjects with RIS there were a statistically significant increase in the level of markers of the Epstein-Barr virus, , as well as and .
CONCLUSION
An association of MS with polymicrobial infection is possible. It is also likely that there is a certain pattern of increase of microbiota markers in the CSF of patients with MS, but not in blood.
Topics: Humans; Multiple Sclerosis; Epstein-Barr Virus Infections; Herpesvirus 4, Human; Multiple Sclerosis, Chronic Progressive; Central Nervous System
PubMed: 37560841
DOI: 10.17116/jnevro202312307296 -
Frontiers in Microbiology 202316S rRNA is the universal gene of microbes, and it is often used as a target gene to obtain profiles of microbial communities via next-generation sequencing (NGS)...
16S rRNA is the universal gene of microbes, and it is often used as a target gene to obtain profiles of microbial communities via next-generation sequencing (NGS) technology. Traditionally, sequences are clustered into operational taxonomic units (OTUs) at a 97% threshold based on the taxonomic standard using 16S rRNA, and methods for the reduction of sequencing errors are bypassed, which may lead to false classification units. Several denoising algorithms have been published to solve this problem, such as DADA2 and Deblur, which can correct sequencing errors at single-nucleotide resolution by generating amplicon sequence variants (ASVs). As high-resolution ASVs are becoming more popular than OTUs and only one analysis method is usually selected in a particular study, there is a need for a thorough comparison of OTU clustering and denoising pipelines. In this study, three of the most widely used 16S rRNA methods (two denoising algorithms, DADA2 and Deblur, along with OTU clustering) were thoroughly compared using 16S rRNA amplification sequencing data generated from 358 clinical stool samples from the Colorectal Cancer (CRC) Screening Cohort. Our findings indicated that all approaches led to similar taxonomic profiles (with > 0.05 in PERMNAOVA and <0.001 in the Mantel test), although the number of ASVs/OTUs and the alpha-diversity indices varied considerably. Despite considerable differences in disease-related markers identified, disease-related analysis showed that all methods could result in similar conclusions. , and were identified by all three methods as enriched in the CRC group, while , and were identified by all three methods as enriched in the healthy group. In addition, disease-diagnostic models generated using machine learning algorithms based on the data from these different methods all achieved good diagnostic efficiency (AUC: 0.87-0.89), with the model based on DADA2 producing the highest AUC (0.8944 and 0.8907 in the training set and test set, respectively). However, there was no significant difference in performance between the models ( >0.05). In conclusion, this study demonstrates that DADA2, Deblur, and OTU clustering display similar power levels in taxa assignment and can produce similar conclusions in the case of the CRC cohort.
PubMed: 37560524
DOI: 10.3389/fmicb.2023.1178744 -
Molecular Oncology May 2024Oral and intestinal samples from a cohort of 93 colorectal cancer (CRC) patients and 30 healthy controls (non-CRC) were collected for microbiome analysis. Saliva (28...
Oral and intestinal samples from a cohort of 93 colorectal cancer (CRC) patients and 30 healthy controls (non-CRC) were collected for microbiome analysis. Saliva (28 non-CRC and 94 CRC), feces (30 non-CRC and 97 CRC), subgingival fluid (20 CRC), and tumor tissue samples (20 CRC) were used for 16S metabarcoding and/or RNA sequencing (RNAseq) approaches. A differential analysis of the abundance, performed with the ANCOM-BC package, adjusting the P-values by the Holm-Bonferroni method, revealed that Parvimonas was significantly over-represented in feces from CRC patients (P-value < 0.001) compared to healthy controls. A total of 11 Parvimonas micra isolates were obtained from the oral cavity and adenocarcinoma of CRC patients. Genome analysis identified a pair of isolates from the same patient that shared 99.2% identity, demonstrating that P. micra can translocate from the subgingival cavity to the gut. The data suggest that P. micra could migrate in a synergistic consortium with other periodontal bacteria. Metatranscriptomics confirmed that oral bacteria were more active in tumor than in non-neoplastic tissues. We suggest that P. micra could be considered as a CRC biomarker detected in non-invasive samples such as feces.
Topics: Humans; Colorectal Neoplasms; Male; Female; Adenocarcinoma; Middle Aged; Aged; Mouth; Feces; RNA, Ribosomal, 16S; Gingiva; Saliva; Peptostreptococcus; Firmicutes
PubMed: 37558206
DOI: 10.1002/1878-0261.13506 -
Journal of Prosthodontics : Official... Apr 2024To characterize the microbiome composition in peri-implant pocket of peri-implantitis and peri-implant sulcus controls using 16S rRNA gene sequencing.
PURPOSE
To characterize the microbiome composition in peri-implant pocket of peri-implantitis and peri-implant sulcus controls using 16S rRNA gene sequencing.
MATERIALS AND METHODS
In this controlled clinical cross-sectional study, 23 subjects with control implants (n = 14) and diseased implants (peri-implantitis, n = 21) were included. The peri-implant pocket/sulcus was sampled and used to extract DNA and amplify the 16S rRNA gene using universal primers targeting the V3-V4 regions. The resulting 16S PCR amplicons were sequenced on Illumina MiSeq, and the sequences were processed using DADA2 and the Human Oral Microbiome Database (HOMD) as references. Alpha and Beta diversity, as well as core microbiome and differential abundance analyses, were performed using the MicrobiomeAnalyst workflow.
RESULTS
There were no significant differences in microbial diversity between control implants and implants with peri-implantitis (Shannon p = 0.82). Overall bacterial community structure assessed through beta diversity analysis was also not significantly different between the two groups (p = 0.18). However, high levels of Gram-negative bacteria were detected in peri-implant pockets compared to the control sulcus. Abundant species in peri-implantitis were Capnocytophaga leadbetteri, Treponema maltophilum, Peptostreptococcus, Neisseria, P. gingivalis, and Porphyromonas endodontali, Lactococcus lactis and Filifactor alocis (p < 0.05). Gram-positive bacteria such as Streptococcus salivaris, Prevotella melaninogenica, L. wadei, and Actinomyces spp. serve were more abundant in peri-implant control sulcus.
CONCLUSIONS
Peri-implant sulcus in control implants harbors predominantly Gram-positive bacteria, whereas pockets of implants with peri-implantitis harbor predominantly Gram-negative bacteria.
Topics: Humans; Peri-Implantitis; Dental Implants; RNA, Ribosomal, 16S; Cross-Sectional Studies; Microbiota
PubMed: 37527556
DOI: 10.1111/jopr.13743 -
Food & Function Aug 2023Oral microbial dysbiosis is the primary etiologic factor for halitosis and may be the critical preventive target for halitosis. This study included randomized controlled... (Randomized Controlled Trial)
Randomized Controlled Trial
Oral microbial dysbiosis is the primary etiologic factor for halitosis and may be the critical preventive target for halitosis. This study included randomized controlled trials (RCTs) assessing the effects of ET-22 live and heat-killed bacteria on halitosis and the related oral microbiome. 68 halitosis subjects were divided into placebo, ET-22 live (ET-22.L) and ET-22 heat-killed (ET-22.HK) groups. Subjects took different lozenges three times a day for 4 weeks and underwent saliva collection and assessment of breath volatile sulfur compound (VSC) levels at the beginning and end of the intervention. Salivary volatile organic compounds were measured using HS-SPME-GC/MS, and the microbiome profile was determined by 16S rRNA gene amplicon sequencing. A positive decrease in breath volatile sulfur compound (VSC) levels was observed in the means of both ET-22.L and ET-22.HK groups after 4 weeks of intervention, being more marked in the ET-22.L group ( = 0.0148). Moreover, ET-22.L and ET-22.HK intervention remarkably changed the composition of total salivary volatile organic compounds (VOCs) and aroma-active VOCs. Key undesirable VOCs, such as indole, pyridine, nonanoic acid, benzothiazole, and valeric acid, were significantly reduced. Meanwhile, ET-22.L or ET-22.HK also altered the taxonomic composition of the salivary microbiome. The halitosis pathogens and were significantly reduced in the ET-22.HK group and the pathogenic and were significantly inhibited in the ET-22.L group. Collectively, our study suggests that both ET-22.L and ET-22.HK can significantly inhibit the production of undesirable odor compounds in subjects with halitosis, which may be related to the changes of the oral microbiome.
Topics: Humans; Double-Blind Method; Halitosis; Lacticaseibacillus paracasei; Microbiota; Randomized Controlled Trials as Topic; Sulfur; Sulfur Compounds; Volatile Organic Compounds
PubMed: 37493204
DOI: 10.1039/d3fo02271d -
Acta Clinica Croatica Nov 2022Chronic rhinosinusitis (CRS) is debilitating condition comprising inflammation of the mucosa of the nasal and paranasal sinuses, requiring conservative and often... (Review)
Review
Chronic rhinosinusitis (CRS) is debilitating condition comprising inflammation of the mucosa of the nasal and paranasal sinuses, requiring conservative and often surgical treatment. Functional endoscopic sinus surgery (FESS) is a CRS treatment during which a microbiological diagnostic procedure may be conducted. Preoperative antibiotic prophylaxis is administrated before FESS. When indicated, the administered empiric antibiotic therapy must cover most common causing microbial agents. The aims of this study were to identify microbial pathogens isolated from sinonasal cavities in patients undergoing endoscopic sinus surgery, to determine bacterial antibiotic susceptibility patterns and compare them with guidelines for treatment and perioperative prophylactic use of antimicrobial agents. A retrospective cohort study on 456 samples collected between 2016 and 2019 was conducted at the Department of Otorhinolaryngology, Head and Neck Surgery and the Department of Microbiology, Parasitology and Hospital Infections in the Clinical University Centre Sestre milordnice, Zagreb. The most common isolated pathogens were Peptostreptococcus spp., Propionibacterium spp., Staphylococcus aureus, Pseudomonas spp., Fusobacterium spp. and Haemophilus influenzae. According to antibiotic susceptibility patterns, empiric antibiotic treatment with amoxicillin-clavulanic acid was appropriate. Due to high rates of antibiotic resistance of anaerobic bacterial isolates to metronidazole, it cannot be recommended in empirical antibiotic treatment or preoperative surgical antibiotic prophylaxis.
Topics: Humans; Antibiotic Prophylaxis; Retrospective Studies; Microbial Sensitivity Tests; Sinusitis; Anti-Bacterial Agents; Anti-Infective Agents; Chronic Disease
PubMed: 37492358
DOI: 10.20471/acc.2022.61.03.17