Salivary microbiome and MRP-8/14 levels in children with gingivitis, healthy children, and their mothers.

BACKGROUND: Gingivitis is the most common form of periodontal disease among children and adolescents and is associated with disrupted host-microbiome homeostasis. Family is an important factor influencing the prevalence of gingivitis. In the present study, we investigated the salivary microbiome, oral hygiene habits, and the salivary level of myeloid-related protein (MRP)-8/14 in children aged 7-12 years with gingivitis, periodontally healthy children, and their mothers. METHODS: This study included 24 children with gingivitis (including four sibling pairs) and 22 periodontally healthy children (including two sibling pairs) and their mothers. The whole saliva was collected, DNA was extracted, the variable V3-V4 region of the eubacterial 16S ribosomal RNA gene was amplified, and sample library preparation was performed according to the Illumina protocol. The salivary levels of MRP-8/14 were analyzed by ELISA. RESULTS: Alpha diversity of the salivary microbiome was considerably higher in gingivitis children and mothers of gingivitis children compared to healthy children and their mothers, respectively. Significant differences in beta diversity between healthy and gingivitis children, healthy children and their mothers, and gingivitis children and their mothers were detected. Overall, the number of common core amplicon sequence variants between children and their own mothers was significantly higher than between children and other mothers. The salivary MRP-8/14 levels in children with gingivitis were significantly higher compared to healthy children; a similar tendency was also mentioned for mothers. CONCLUSION: Our study underlines the importance of family as an essential factor influencing oral health.

Microbial composition and diversity in intraradicular biofilm formed in situ: New concepts based on next-generation sequencing.

This study aimed to characterize the taxonomic composition of intraradicular multispecies biofilms (IMB) formed in situ in a model to reproduce clinical conditions. Twelve palatal roots of maxillary molars had its canals prepared. Two roots were randomly selected to sterility control. Ten intraoral prosthetic appliances with lateral slots were fabricated. The roots were positioned in the slots with the canal access open to the oral cavity. Eight volunteers wore the appliance for 21 days, and two wore it at two different time points. One root from each appliance was removed and stored at -20°C until DNA extraction and sequencing (n = 10). Biofilm was analyzed using next-generation sequencing and bioinformatics. The V4 hyper-variable region of the 16SrRNA gene was amplified and sequenced. For data analyses, the mothur pipeline was used for 16SrRNA processing, and subsequent analyses of the sequence dataset were performed in R using the Microbiome Analyst R package. The taxonomy-based analysis of bacterial communities identified 562 operational taxonomic units (OTUs), which belonged to 93 genera, 44 families, and 8 phyla. Bacterial colonization was different for each biofilm, and samples did not have the same group of bacteria. Alpha and beta diversity analysis revealed some general patterns of sample clustering. A core microbiome of prevalent OTUs and genera was identified. IMBs were heterogeneous when analyzed individually, but some diversity patterns were found after sample clustering. The experimental model seemed to reproduce the actual biofilm composition in endodontic infections, which suggests that it may be used to evaluate disinfection protocols.

Microbial composition and diversity in intraradicular biofilm formed in situ: New concepts based on next-generation sequencing.

This study aimed to characterize the taxonomic composition of intraradicular multispecies biofilms (IMBs) formed in situ in a model to reproduce clinical conditions. Twelve palatal roots of maxillary molars had its canals prepared. Two roots were randomly selected to sterility control. Ten intraoral prosthetic appliances with lateral slots were fabricated. The roots were positioned in the slots with the canal access open to the oral cavity. Eight volunteers wore the appliance for 21 days, and two wore it at two different time points. One root from each appliance was removed and stored at -20°C until DNA extraction and sequencing (n = 10). Biofilm was analyzed using next-generation sequencing and bioinformatics. The V4 hyper-variable region of the 16SrRNA gene was amplified and sequenced. For data analyses, the mothur pipeline was used for 16SrRNA processing, and subsequent analyses of the sequence dataset were performed in R using the MicrobiomeAnalyst R package. The taxonomy-based analysis of bacterial communities identified 562 operational taxonomic units (OTUs), which belonged to 93 genera, 44 families, and 8 phyla. Bacterial colonization was different for each biofilm, and samples did not have the same group of bacteria. Alpha and beta diversity analysis revealed some general patterns of sample clustering. A core microbiome of prevalent OTUs and genera was identified. IMBs were heterogeneous when analyzed individually, but some diversity patterns were found after sample clustering. The experimental model seemed to reproduce the actual biofilm composition in endodontic infections, which suggests that it may be used to evaluate disinfection protocols.

Characteristics of Gut Microbiota in Patients with Erectile Dysfunction: A Chinese Pilot Study.

PURPOSE: Little is known about the role of gut microbiota in the pathogenesis of erectile dysfunction (ED). We performed a study to compare taxonomic profiles of gut microbiota of ED and healthy males. MATERIALS AND METHODS: A total of 43 ED patients and 16 healthy controls were enrolled in the study. The 5-item version of the International Index of Erectile Function (IIEF-5) with a cutoff value of 21 was used to evaluate erectile function. All participants underwent nocturnal penile tumescence and rigidity test. Samples of stool were sequenced to determine the gut microbiota. RESULTS: We identified a distinct beta diversity of gut microbiome in ED patients by unweighted UniFrac analysis (R²=0.026, p=0.036). Linear discriminant analysis effect size (LEfse) analysis showed Actinomyces was significantly enriched, whereas Coprococcus_1, Lachnospiraceae_FCS020_group, Lactococcus, Ruminiclostridium_5, and Ruminococcaceae_UCG_002 were depleted in ED patients. Actinomyces showed a significant negative correlation with the duration of qualified erection, average maximum rigidity of tip, average maximum rigidity of base, tip tumescence activated unit (TAU), and base TAU. Coprococcus_1, Lachnospiraceae_FCS020_group, Ruminiclostridium_5, and Ruminococcaceae_UCG_002 were significantly correlated with the IIEF-5 score. Ruminiclostridium_5 and Ruminococcaceae_UCG_002 were positively related with average maximum rigidity of tip, average maximum rigidity of base, ΔTumescence of tip, and Tip TAU. Further, a random forest classifier based on the relative abundance of taxa showed good diagnostic efficacy with an area under curve of 0.72. CONCLUSIONS: This pilot study identified evident alterations in the gut microbiome composition of ED patients and found Actinomyces was negatively correlated with erectile function, which may be a key pathogenic bacteria.

Effects of Zhenggan Huayu decoction combined with entecavir on gut microbiota in patients with chronic hepatitis B fibrosis.

OBJECTIVE: To evaluate the effects of Zhenggan Huayu decoction (, ZGHY) combined with entecavir (ETV) on the gut microbiota in patients with chronic hepatitis B (CHB) fibrosis. METHODS: A total of 59 CHB-related fibrosis patients were enrolled and treated with ZGHY combined with ETV (ZGHY + ETV) and ETV alone. Fecal samples were collected from patients at weeks 0, 12, and 24 after treatment and gut microbiota were analyzed by 16S rRNA gene sequencing. RESULTS: Compared to the ETV group, microbiota diversity in the ZGHY + ETV group was increased after 24 weeks. Some potentially pathogenic bacteria, including spp., spp., and spp. were reduced in the ZGHY + ETV group, while spp., spp., and several other beneficial bacteria were increased. CONCLUSION: Decreases in pathogenic bacteria and increases in probiotics were not always observed in the Traditional Chinese Medicine (TCM) group (e.g., was abundant). As an adjuvant TCM formulation for ETV, ZGHY had a positive role in the treatment of CHB patients.

Microbial community structure of different tongue fur types in patients with chronic gastritis.

OBJECTIVE: To explore the correlation between tongue and oral microbiota, we studied the microbial community structure of different tongue coating types in patients with chronic gastritis. METHODS: 16S rDNA gene sequencing and bioinformatics analysis were used to study the dynamic changes and correlation of microbial flora in patients with chronic gastritis, healthy people, and patients with different tongue fur. In addition, it was also discussed between the severity of gastritis and the microflora of tongue fur. RESULTS: The microbial diversity of tongue fur in patients with chronic gastritis was significantly different from healthy controls. There were significant changes in bacterial communities' diversity and relative abundance between extra tongue fur in patients but not in healthy people. Oral bacteria with relative abundance > 1% and < 0.05 among different tongue fur flora were dominant bacteria, including 12 phyla such as and , and 256 genera such as and . CONCLUSIONS: The changes in oral flora in patients with chronic gastritis were related to tongue fur. Therefore, the significant microbiota might enlighten further study on the correlation between tongue inspection and oral microbiota in patients with chronic gastritis.

[Changes of gut microflora in newly diagnosed IgA nephropathy patients and its correlation with clinical risk factors].

OBJECTIVE: To investigate the gut microbiota in newly diagnosed IgA nephropathy patients with chronic kidney disease (CKD) stages 1-2 and the association between the gut microbiota and the clinical risk factors of IgA nephropathy. METHODS: Fresh fecal samples were collected from nineteen newly diagnosed IgA nephropathy patients with CKD stages 1-2 and fifteen age- and sex-matched healthy controls. Fecal bacterial DNA was extracted and microbiota composition were characterized using 16S ribosomal RNA (16S rRNA) high-throughput sequencing for the V3-V4 region. The Illumina Miseq platform was used to analyze the results of 16S rRNA high-throughput sequencing of fecal flora. At the same time, the clinical risk factors of IgA nephropathy patients were collected to investigate the association between the gut microbiota and the clinical risk factors. RESULTS: (1) At the phylum level, the abundance of Bacteroidetes was significantly reduced (P=0.046), and the abundance of Actinobacteria was significantly increased (P=0.001). At the genus level, the abundance of Escherichia-Shigella, Bifidobacte-rium, Dorea and others were significantly increased (P < 0.05). The abundance of Lachnospira, Coprococcus_2 and Sutterella was significantly reduced (P < 0.05). (2) There was no significant difference in the abundance of gut microbiota between the newly diagnosed IgA nephropathy patients and the healthy control group (P>0.05), but there were differences in the structure of the gut microbiota between the two groups. The results of LEfSe analysis showed that there were 16 differential bacteria in the newly diagnosed IgA nephropathy patients and healthy controls. Among them, the abundance of the newly diagnosed IgA nephropathy patients was increased in Enterobacteriales, Actinobacteria, Escherichia-Shigella, etc. The healthy control group was increased in Bacteroidetes and Lachnospira. (3) The result of redundancy analysis (RDA) showed that Bifidobacterium was positively correlated with serum IgA levels, 24-hour urinary protein levels and the presence of hypertension. Lachnoclostridium was positively correlated with the presence of hypertension. Escherichia-Shigella was positively correlated with urine red blood cells account. Bifidobacterium was positively correlated with the proliferation of capillaries. Faecalibacterium was positively correlated with cell/fibrocytic crescents. Ruminococcus_2 was positively correlated with mesangial cell proliferation, glomerular segmental sclerosis and renal tubular atrophy/interstitial fibrosis. CONCLUSION: The gut microbiota in the newly diagnosed IgA nephropathy patients with CKD stages 1-2 is different from that of the healthy controls. Most importantly, some gut bacteria are related to the clinical risk factors of IgA nephropathy. Further research is needed to understand the potential role of these bacteria in IgA nephropathy.

Changes of gut microflora in newly diagnosed IgA nephropathy patients and its correlation with clinical risk factors / 北京大学学报(医学版)

OBJECTIVE@#To investigate the gut microbiota in newly diagnosed IgA nephropathy patients with chronic kidney disease (CKD) stages 1-2 and the association between the gut microbiota and the clinical risk factors of IgA nephropathy.@*METHODS@#Fresh fecal samples were collected from nineteen newly diagnosed IgA nephropathy patients with CKD stages 1-2 and fifteen age- and sex-matched healthy controls. Fecal bacterial DNA was extracted and microbiota composition were characterized using 16S ribosomal RNA (16S rRNA) high-throughput sequencing for the V3-V4 region. The Illumina Miseq platform was used to analyze the results of 16S rRNA high-throughput sequencing of fecal flora. At the same time, the clinical risk factors of IgA nephropathy patients were collected to investigate the association between the gut microbiota and the clinical risk factors.@*RESULTS@#(1) At the phylum level, the abundance of Bacteroidetes was significantly reduced (P=0.046), and the abundance of Actinobacteria was significantly increased (P=0.001). At the genus level, the abundance of Escherichia-Shigella, Bifidobacte-rium, Dorea and others were significantly increased (P < 0.05). The abundance of Lachnospira, Coprococcus_2 and Sutterella was significantly reduced (P < 0.05). (2) There was no significant difference in the abundance of gut microbiota between the newly diagnosed IgA nephropathy patients and the healthy control group (P>0.05), but there were differences in the structure of the gut microbiota between the two groups. The results of LEfSe analysis showed that there were 16 differential bacteria in the newly diagnosed IgA nephropathy patients and healthy controls. Among them, the abundance of the newly diagnosed IgA nephropathy patients was increased in Enterobacteriales, Actinobacteria, Escherichia-Shigella, etc. The healthy control group was increased in Bacteroidetes and Lachnospira. (3) The result of redundancy analysis (RDA) showed that Bifidobacterium was positively correlated with serum IgA levels, 24-hour urinary protein levels and the presence of hypertension. Lachnoclostridium was positively correlated with the presence of hypertension. Escherichia-Shigella was positively correlated with urine red blood cells account. Bifidobacterium was positively correlated with the proliferation of capillaries. Faecalibacterium was positively correlated with cell/fibrocytic crescents. Ruminococcus_2 was positively correlated with mesangial cell proliferation, glomerular segmental sclerosis and renal tubular atrophy/interstitial fibrosis.@*CONCLUSION@#The gut microbiota in the newly diagnosed IgA nephropathy patients with CKD stages 1-2 is different from that of the healthy controls. Most importantly, some gut bacteria are related to the clinical risk factors of IgA nephropathy. Further research is needed to understand the potential role of these bacteria in IgA nephropathy.

Analysis of the nail microbiome in patients with onychomycosis by high-throughput sequencing of 16S rDNA and internal transcribed spacer regions / 中华皮肤科杂志

Objective:To investigate differences in bacterial and fungal microbiome between infected nails and healthy nails among patients with onychomycosis.Methods:Nail scraping samples were collected from infected nails and healthy nails of 31 patients with onychomycosis, who visited Dalian Dermatosis Hospital from August 2020 to July 2021. The total DNA of nail microbiota was extracted, and the V3-V4 regions of the bacterial 16S rDNA gene and the fungal internal transcribed spacer (ITS) region were amplified and sequenced using Illumina technology. The USEARCH and mothur softwares were used for data cluster analysis to obtain the operational taxonomic units (OTUs) , Wilcoxon rank sum test was used to analyze α diversity, analysis of similarities (ANOSIM) was performed to analyze β diversity, linear discriminant analysis of effect size (LEfSe) was performed to evaluate the species difference.Results:Among the 31 patients with onychomycosis, 16 were males and 15 were females. According to the age, they were divided into young group (18 - 35 years old, 10 cases) , middle-aged group (36 - 60 years old, 11 cases) , and elderly group (over 60 years old, 10 cases) . As the α-diversity analysis revealed, the infected nail group showed significantly decreased Shannon index ( W = 290, P = 0.007) , but significantly increased Simpson index ( W = 663, P = 0.010) compared with the healthy nail group, suggesting that the diversity and evenness of bacterial communities were lower in the infected nail group than in the healthy nail group; however, there was no significant difference in the diversity of fungal communities between the infected nail group and healthy nail group. The β-diversity analysis based on the unweighted-UniFrac distance matrix showed no significant difference in the fungal or bacterial community composition between the infected nail group and healthy nail group (bacterial communities: R = 0.0052, P = 0.331; fungal communities: R = 0.0036, P = 0.337) ; the β-diversity analysis based on the weighted-UniFrac distance matrix showed significant differences in the abundance of bacterial and fungal communities between the two groups (both P = 0.001) . In terms of the species composition, the bacterial flora with significantly decreased abundance in the infected nail group compared with the healthy nail group included Bacteroidetes, Proteobacteria, Betaproteobacteria, Burkholderiales, Ralstonia, Sphingomonas and Streptococcus, while the abundance of Bacilli, Bacillales and Staphylococcus was significantly higher in the infected nail group than in the healthy nail group. Compared with the healthy nail group, the fungal flora with significantly increased abundance in the infected nail group included Eurotiomycetes, Onygenales, Leotiomycetes-ord-incertae-sedis, Arthrodermataceae, Periconia, Erysiphe, Tilletiopsis, Trichophyton, Erysiphe cruciferarum, Trichophyton rubrum, Malassezia sympodialis, while the abundance of Saccharomycetes, Saccharomycetales, Saccharomycetaceae, Dothioraceae, Candida and Alternaria was significantly lower in the infected nail group than in the healthy nail group. Conclusion:The diversity and abundance of bacterial communities significantly differed between infected nails and healthy nails among patients with onychomycosis, while only the abundance of fungal communities differed between the two groups, and perhaps there was correlations between some bacterial and fungal communities.

Seronegative neurobrucellosis-do we need new neurobrucellosis criteria?

Neurobrucellosis presents in various clinical forms and should always be considered in neurological patients in highly endemic areas such as the Mediterranean basin. Establishing a diagnosis can be challenging since serological testing can sometimes yield negative results. We present a rare case of a seronegative relapse of neurobrucellosis in a patient who had been successfully treated for systemic brucellosis. Oligoclonal bands, an agglutination test, and 16S rRNA sequencing of cerebrospinal fluid proved essential in unmasking a confined central nervous system relapse. This case reinforces the need for establishing diagnostic criteria for neurobrucellosis, which could potentially include oligoclonal bands and an agglutination test on the cerebrospinal fluid.

Polymerase chain reaction targeting 16S ribosomal RNA for the diagnosis of bacterial meningitis after neurosurgery

OBJECTIVES: Bacterial and aseptic meningitis after neurosurgery can present similar clinical signs and symptoms. The aims of this study were to develop and test a molecular method to diagnose bacterial meningitis (BM) after neurosurgery. METHODS: A 16S ribosomal RNA gene PCR-based strategy was developed using artificially inoculated cerebrospinal fluid (CSF) followed by sequencing. The method was tested using CSF samples from 43 patients who had undergone neurosurgery and were suspected to suffer from meningitis, and from 8 patients without neurosurgery or meningitis. Patients were classified into five groups, confirmed BM, probable BM, possible BM, unlikely BM, and no meningitis. RESULTS: Among the samples from the 51 patients, 21 samples (41%) were culture-negative and PCR-positive. Of these, 3 (14%) were probable BM, 4 (19%) were possible BM, 13 (62%) were unlikely BM, and 1 (5%) was meningitis negative. Enterobacterales, non-fermenters (Pseudomonas aeruginosa and Acinetobacter baumannii), Staphylococcus haemolyticus, Granulicatella, Variovorax, and Enterococcus cecorum could be identified. In the group of patients with meningitis, a good agreement (3 of 4) was observed with the results of cultures, including the identification of species. CONCLUSION: Molecular methods may complement the diagnosis, guide treatment, and identify non-cultivable microorganisms. We suggest the association of methods for suspected cases of BM after neurosurgery, especially for instances in which the culture is negative.

Analysis of differences in gut microbiota in patients with chronic spontaneous urticaria by 16S rRNA high-throughput sequencing / 中华皮肤科杂志

Objective:To investigate differences in gut microbiota between patients with chronic spontaneous urticaria (CSU) and healthy controls.Methods:A total of 18 patients with CSU (CSU group) and 18 age- and gender-matched healthy controls (HC group) were enrolled from Department of Dermatology, Tianjin First Central Hospital between January 2019 and December 2019. Fecal samples were collected from these subjects, and total DNA was extracted. The 16S rRNA sequencing technology was used to identify microbial species in gut microbiota, and bioinformatics methods were applied to analyze differences in gut microbiota composition between the 2 groups. The SPSS 23.0 software was used for statistical analysis of the experimental data.Results:In terms of α diversity, there was no significant difference in the Observed OTU index, Chao1 index, Shannon index or Simpson index between the CSU group (161.28 ± 35.47, 161.31 ± 35.51, 5.15 ± 0.47, 0.94 ± 0.03, respectively) and HC group (154.89 ± 54.46, 154.92 ± 54.43, 4.92 ± 0.88, 0.91 ± 0.08, respectively; t = 0.417, 0.417, 0.952, 1.116, respectively, all P > 0.05) . In terms of β diversity, principal component analysis showed that the first and second principal components explained 6.66% and 4.93% respectively, and there was no significant difference in the microbiota structure between the 2 groups ( P = 0.672) . The relative abundance of the genus Holdemania in the gut microbiota significantly differed between the CSU group and HC group (0.04% vs. 0.01%, P = 0.025) . Conclusion:The gut microbiota differs between the patients with CSU and healthy controls.

Conserved and variable responses of the gut microbiome to resistant starch type 2.

Resistant starch type 2 (RS2), a dietary fiber comprised solely of glucose, has been extensively studied in clinical trials and animal models for its capacity to improve metabolic and systemic health. Because the health modulatory effects of RS2 and other dietary fibers are thought to occur through modification of the gut microbiome, those studies frequently include assessments of RS2-mediated changes to intestinal microbial composition and function. In this review, we identify the conserved responses of the gut microbiome among 13 human and 35 animal RS2 intervention studies. Consistent outcomes of RS2 interventions include reductions in bacterial α-diversity; increased production of lumenal short-chain fatty acids; and enrichment of Ruminococcus bromii, Bifidobacterium adolescentis, and other gut taxa. Different taxa are usually responsive in animal models, and many RS2-mediated changes to the gut microbiome vary within and between studies. The root causes for this variation are examined with regard to methodological and analytical differences, host genetics and age, species differences (eg, human, animal), health status, intervention dose and duration, and baseline microbial composition. The significant variation found for this single dietary compound highlights the challenges in targeting the gut microbiome to improve health with dietary interventions. This knowledge on RS2 also provides opportunities to improve the design of nutrition studies targeting the gut microbiome and to ultimately identify the precise mechanisms via which dietary fiber benefits human health.

Peri-implant mucositis sites with suppuration have higher microbial risk than sites without suppuration.

BACKGROUND: The aims of the present study were to compare the microbial differences between peri-implant mucositis sites with or without suppuration, and to construct a classification model with microbiota. METHODS: Twenty-four implants with peri-implant mucositis were divided into suppuration (SUP) group and non-suppuration (Non-SUP) group. Clinical assessments of bleeding index, probing depth, suppuration following probing (SUP) were recorded. Submucosal samples were collected from mesiobuccal sites and distobuccal sites, and analyzed by 16S rRNA gene sequencing. Generalized linear mixed model was used to adjust age, gender, location of implants, and intraindividual correlation. RESULTS: It was demonstrated that the microbial richness was lower in SUP group. The relative abundance of some pathogenic taxa, such as genera of Fusobacterium, Tannerella, and Peptostreptococcus, were significantly higher in SUP group than Non-SUP group. In addition, SUP group had less Gram-positive bacteria, aerobic bacteria, and more metabolic pathway related to life activity. The classification model constructed with 12 genera got a 100% accuracy in identifying sites with or without suppuration. CONCLUSIONS: The results from this study demonstrate a higher pathogenicity of microbiome at peri-implant mucositis sites with suppuration than without suppuration, which supports suppuration as a clinical indicator for higher microbial risk.

Analysis of gut microbiota change in colorectal adenomatous polyps patients by 16S rRNA sequencing / 中华检验医学杂志

Objective@#To explore the characteristics of gut microbiota change in colorectal adenomatous polyps (CAP), which has been considered as precancerous lesion for colorectal cancer.@*Methods@#Thirty patients with colon adenomatous polyps (CAP group) and thirty healthy individuals without adenomatous polyps (HC group) who underwent colonoscopy at the First Affiliated Hospital of Kunming Medical University from November 2017 to April 2018 were randomly collected. The biopsy mucosae were collected by endoscopic electrocoagulation, and DNA was extracted to amplify 16S rRNA V3-V4 region, followed high-throughput sequencing with Illumina MiSeq platform. The experimental results were analyzed using Wilcoxon test.@*Results@#The alpha diversity of CAP patients was higher than that of healthy controls (Chao & Ace P<0.01). A decreased abundance of Bacteroidetes (FC=0.38) was observed at phylum level(P<0.05). At genus level, the abundances of Bacteroides (FC=0.32) , Escherichia (FC=0.57) , Ruminococcus (FC=0.42) , Blautia (FC=0.27) , and Dorea (FC=0.57) were decreased (P<0.05), but those of Pseudomonas(FC=2.43), Lactococcus(FC=2.84), Geobacillus(FC=2.07), and Acinetibacter(FC=2.36) were increased in CAP patients (P<0.05).@*Conclusions@#Compared with healthy volunteers, there are significant differences in the abundance and diversity of the adenoma tissue in CAP patients, indicating that there is an imbalance of gut microbiota in the adenomatous polyps. The imbalance of intestinal microenvironment may contribute to the occurrence and development of CAP.

Dynamic construction of gut microbiota may influence allergic diseases of infants in Southwest China.

BACKGROUND: Gut microbes have been suggested as the possible targets in the management of allergic diseases. However, the way in which these microbes influence allergic diseases remain unclear. Forty-seven full-term newborns were selected from a 1000-infant birth cohort. Among them were 23 allergic infants, whereas 24 infants were healthy without allergic symptoms at 1 year of age. Two hundred and sixty-four fecal samples were collected at 7 time points following their birth. These fecal samples were microbiologically analyzed using 16S rRNA gene sequencing. The dynamic processes involved in gut microbiota diversity and composition in the tested infants were constructed. RESULTS: Healthy infants demonstrated more statistical differences in longitudinal changes in the alpha diversity of their microbiota at the time points compared with day 0 (meconium) than did allergic infants. Analysis of beta diversity showed that the fecal microbiota of days 0 and 2 comprised different communities in healthy infants, and that there were three separate communities in the fecal microbiota of day 0 of the healthy infants, those of day 2 of the healthy infants, and those of days 0-2 of the allergic infants. The relative abundance of dominant gut microbiota at phylum level varied at different time points in the healthy and diseased groups. Bifidobacterium, Escherichia-Shigella, Streptococcus, Clostridium_sensu_stricto_1, Akkermansia and Erysipelatoclostridium were significantly different between the healthy and diseased groups at a different time points. CONCLUSION: The dynamic construction processes of gut microbiota during early life might be associated with the occurrence of long-term allergic diseases, with the first month following birth potentially being the most critical.

Chronic obstructive pulmonary disease upper airway microbiota alpha diversity is associated with exacerbation phenotype: a case-control observational study.

BACKGROUND: Chronic obstructive pulmonary disease (COPD) frequent exacerbators (FE) suffer increased morbidity and mortality compared to infrequent exacerbators (IE). The association between the oral and sputum microbiota and exacerbation phenotype is not well defined. The objective of this study was to determine key features that differentiate the oral and sputum microbiota of FEs from the microbiota of IEs during periods of clinical stability. METHODS: We recruited 11 FE and 11 IE who had not used antibiotics or systemic corticosteroids in the last 1 month. Subjects provided oral wash and sputum samples, which underwent 16S V4 MiSeq sequencing and qPCR of 16S rRNA. Data were analyzed using Dada2 and R. RESULTS: FE and IE were similar in terms of age, FEV1 percent predicted (FEV1pp), pack-years of tobacco exposure, and St. George's Respiratory Questionnaire score. 16S copy numbers were significantly greater in sputum vs. oral wash (p = 0.01), but phenotype was not associated with copy number. Shannon diversity was significantly greater in oral samples compared to sputum (p = 0.001), and IE samples were more diverse than FE samples (p < 0.001). Sputum samples from FE had more Haemophilus and Moraxella compared to IE sputum samples, due to dominance of these COPD-associated taxa in three FE sputum samples. Amplicon sequencing variant (ASV)-level analysis of sputum samples revealed one ASV (Actinomyces) was significantly more abundant in IE vs. FE sputum (padj = 0.048, Wilcoxon rank-sum test), and this persisted after controlling for FEV1pp. Principal coordinate analysis using Bray-Curtis distance with PERMANOVA analyses demonstrated clustering by anatomic site, phenotype, inhaled corticosteroid use, current tobacco use, COPD severity, and last professional dental cleaning. CONCLUSIONS: FE have less diverse oral and sputum microbiota than IE. Actinomyces was significantly more abundant in IE sputum than FE sputum. The oral and sputum microbiota of COPD subjects cluster based on multiple clinical factors, including exacerbation phenotype. Even during periods of clinical stability, the frequent exacerbator phenotype is associated with decreased alpha diversity, beta-diversity clustering, and changes in taxonomic abundance.

Difference Analysis Based on 16S rRNA Sequencing of Different Soil Bacterial Communities.

ABSTRACT: Objective To study the structure and differences of bacterial communities in different soils, and to explore the effectiveness of 16S rRNA sequencing in identification of different soil. Methods Soil samples from 7 places in Shanghai were collected, then bacterial genomic DNA were extracted from them. The fragments of hypervariable region from 16S rRNA sequences were sequenced with high-throughput sequencing techniques. The results were quantified or visualized with bioinformatics software. The differences in diversity and abundance among the three kinds of bacterial communities in soil samples from grassland, forests and beaches were compared and analyzed. Results The statistical differences that existed among the alpha diversity indexes of bacterial communities in soil samples of grassland, forests and beaches had statistical significance. The relative abundance and diversity of bacterial communities in these three kinds of soil were significantly different. Grassland soil had higher Acidobacteria abundance, forest soil had higher Proteobacteria abundance, beach soil had higher Actinobacteria abundance. However, the differences in soil bacterial communities in artificial grasslands, natural grasslands and industrial district grasslands did not have statistical significance. Conclusion 16S rRNA sequencing can effectively distinguish different soils. This method may be able to provide clues for first crime scene inference in criminal cases.

Difference Analysis Based on 16S rRNA Sequencing of Different Soil Bacterial Communities / 法医学杂志

Objective To study the structure and differences of bacterial communities in different soils, and to explore the effectiveness of 16S rRNA sequencing in identification of different soil. Methods Soil samples from 7 places in Shanghai were collected, then bacterial genomic DNA were extracted from them. The fragments of hypervariable region from 16S rRNA sequences were sequenced with high-throughput sequencing techniques. The results were quantified or visualized with bioinformatics software. The differences in diversity and abundance among the three kinds of bacterial communities in soil samples from grassland, forests and beaches were compared and analyzed. Results The statistical differences that existed among the alpha diversity indexes of bacterial communities in soil samples of grassland, forests and beaches had statistical significance. The relative abundance and diversity of bacterial communities in these three kinds of soil were significantly different. Grassland soil had higher Acidobacteria abundance, forest soil had higher Proteobacteria abundance, beach soil had higher Actinobacteria abundance. However, the differences in soil bacterial communities in artificial grasslands, natural grasslands and industrial district grasslands did not have statistical significance. Conclusion 16S rRNA sequencing can effectively distinguish different soils. This method may be able to provide clues for first crime scene inference in criminal cases.

Progress in the 16S rRNA Gene Sequencing in Forensic Science.

Forensic microorganism is one of the hotspots of forensic science research. Due to its conservatism and specificity, the 16S rRNA gene is found to be an ideal marker for forensic identification. With the rapid development of high throughput sequencing technology, the research on microorganisms has been gradually applied to many fields such as environment and health care. In the field of forensic science, the results of forensic microbiology research, represented by 16S rRNA gene sequencing, are also gradually applied to forensic practice, such as biological samples identification, individual identification, postmortem interval estimation, and regional inference, which not only provide clues for the investigation of cases but also complement and assist traditional methods. This paper describes the research methods and related sequencing technologies of 16S rRNA gene sequencing, summarizes its research progress, and discusses the application value and potential of 16S rRNA in forensic science.