OBJECTIVE: To describe the submucosal microbial profiles of peri-implantitis and healthy implants, and to explore bacteria that might be correlated with clinical parameters. METHODS: In the present cross-sectional study, 49 patients were recruited. Each patient contributed with one implant, submucosal biofilms were collected from 20 healthy implants and 29 implants with peri-implantitis. DNA was extracted and bacterial 16S ribosomal RNA (16S rRNA) genes were amplified. Submucosal biofilms were analyzed using 16S rRNA sequencing at Illumina MiSeq platform. Differences between the groups were determined by analyzing α diversity, microbial component and microbial structure. The potential correlation between the bacteria with pocket probing depth (PPD) of peri-implant calculated by Spearman correlation analysis. RESULTS: The α diversity of submucosal microbial of health group was significantly lower than that in peri-implantitis group (Chao1 index: 236.85±66.13 vs. 150.54±57.43, P < 0.001; Shannon index: 3.42±0.48 vs. 3.02±0.65, P=0.032). Principal coordinated analysis showed that the submucosal microbial structure had significant difference between healthy and peri-implantitis groups [R²=0.243, P=0.001, analysis of similarities (ANOSIM)]. Compared with healthy implants, relative abundance of periodontal pathogens were higher in peri-implantitis, including members of the red complex (Porphyromonas gingivalis, Tannerella forsythia, Treponema denticola) and some members of orange complex (Precotella intermedia, Eubacterium nodatum, Parvimonas micra), as well as some new periodontal pathogens, such as Fillifactor alocis, Fretibacterium fastidiosum, Desulfobulbus sp._HMT_041, and Porphyromonas endodontalis. Spearman correlation analysis revealed that the relative abundance of Treponema denticola (r=0.686, P < 0.001), Tannerella forsythia (r=0.675, P < 0.001), Fretibacterium sp. (r=0.671, P < 0.001), Desulfobulbus sp._HMT_041 (r=0.664, P < 0.001), Filifactor alocis (r=0.642, P < 0.001), Fretibacterium fastidiosum (r=0.604, P < 0.001), Porphyromonas gingivalis (r=0.597, P < 0.001), Porphyromonas endodontalis (r=0.573, P < 0.001) were positive correlated with PPD. While the relative abundance of Rothia aeria (r=-0.615, P < 0.001) showed negatively correlation with PPD. CONCLUSION Marked differences were observed in the microbial profiles of healthy implants and peri-implantitis. The members of red and orange complex as well as some new periodontal pathogens seem to play an important role in peri-implant disease. Compared with healthy implants, the submucosal microbial of peri-implantitis were characterized by high species richness and diversity.
Humans ; Peri-Implantitis/microbiology* ; Cross-Sectional Studies ; RNA, Ribosomal, 16S/genetics* ; Bacterial Load ; Porphyromonas gingivalis ; Dental Implants

Objective: To explore the changes in bacterial community structure, antibiotic resistance genome, and pathogen virulence genome in river water before and after the river flowing through Haikou City and their transmission and dispersal patterns and to reveal anthropogenic disturbance's effects on microorganisms and resistance genes in the aquatic environment. Methods: The Nandu River was divided into three study areas: the front, middle and rear sections from the upstream before it flowed through Haikou City to the estuary. Three sampling sites were selected in each area, and six copies of the sample were collected in parallel at each site and mixed for 3 L per sample. Microbial community structure, antibiotic resistance, virulence factors, and mobile genetic elements were analyzed through bioinformatic data obtained by metagenomic sequencing and full-length sequencing of 16S rRNA genes. Variations in the distribution of bacterial communities between samples and correlation of transmission patterns were analyzed by principal co-ordinates analysis, procrustes analysis, and Mantel test. Results: As the river flowed through Haikou City, microbes' alpha diversity gradually decreased. Among them, Proteobacteria dominates in the bacterial community in the front, middle, and rear sections, and the relative abundance of Proteobacteria in the middle and rear sections was higher than that in the front segment. The diversity and abundance of antibiotic resistance genes, virulence factors, and mobile genetic elements were all at low levels in the front section and all increased significantly after flow through Haikou City. At the same time, horizontal transmission mediated by mobile genetic elements played a more significant role in the spread of antibiotic-resistance genes and virulence factors. Conclusions: Urbanization significantly impacts river bacteria and the resistance genes, virulence factors, and mobile genetic elements they carry. The Nandu River in Haikou flows through the city, receiving antibiotic-resistant and pathogen-associated bacteria excreted by the population. In contrast, antibiotic-resistant genes and virulence factors are enriched in bacteria, which indicates a threat to environmental health and public health. Comparison of river microbiomes and antibiotic resistance genomes before and after flow through cities is a valuable early warning indicator for monitoring the spread of antibiotic resistance.
Humans ; Rivers ; Virulence Factors/genetics* ; RNA, Ribosomal, 16S/genetics* ; Microbiota/genetics* ; Anti-Bacterial Agents ; Drug Resistance, Microbial/genetics*

OBJECTIVES: To explore the possibility of using human skin and oral microorganisms to estimate the geographic origin of an individual through the sequencing analysis of bacterial 16S rRNA gene. METHODS: Microbial DNA was extracted from the palm and oral microorganisms of the Han population in Shanghai and Chifeng, Inner Mongolia, and the composition and diversity of the microbiota were analyzed by full-length 16S rRNA gene sequencing. Then, differential species were screened and a geographic location prediction model was constructed. RESULTS: The compositions of palm and oral microorganisms between Shanghai and Chifeng samples were both different. The abundance and uniformity of palm side skin microorganisms were higher in Chifeng samples than in Shanghai samples, while there was no significant difference in oral microorganisms. Permutational multivariate analysis of variance (PERMANOVA) confirmed that the β-diversity between the samples from the two places were statistically significant, and the coefficients of determination (R²) for skin and oral samples were 0.129 and 0.102, respectively. Through principal co-ordinates analysis (PCoA), the samples from the two places could be preliminarily distinguished. The predictive model had the accuracies of 0.90 and 0.83 for the geographic origin using the skin and oral samples, respectively. CONCLUSIONS There are differences in the compositions of palm and oral microbiota between Han populations in Shanghai and Chifeng. The prediction model constructed by the random forest algorithm can trace the unknown individuals from the above two places.
Humans ; China ; DNA, Bacterial/genetics* ; Microbiota/genetics* ; RNA, Ribosomal, 16S/genetics* ; Skin/microbiology* ; Forensic Genetics ; High-Throughput Nucleotide Sequencing ; Mouth/microbiology*

OBJECTIVES: To study the difference in intestinal flora between children with focal epilepsy and healthy children and the change in intestinal flora after treatment in children with epilepsy. METHODS: A total of 10 children with newly diagnosed focal epilepsy were recruited as the case group and were all treated with oxcarbazepine alone. Their clinical data were recorded. Fecal specimens before treatment and after 3 months of treatment were collected. Fourteen aged-matched healthy children were recruited as the control group. Total bacterial DNA was extracted from the fecal specimens for 16S rDNA sequencing and bioinformatics analysis. RESULTS: After 3 months of carbamazepine treatment, the seizure frequency was reduced by >50% in the case group. At the phylum level, the abundance of Actinobacteria in the case group before treatment was significantly higher than that in the control group (P<0.05), and it was reduced after treatment (P<0.05). At the genus level, the abundances of Escherichia/Shigella, Streptococcus, Collinsella, and Megamonas in the case group before treatment were significantly higher than those in the control group (P<0.05), and the abundances of these bacteria decreased significantly after treatment (P<0.05). CONCLUSIONS There is a significant difference in intestinal flora between children with focal epilepsy and healthy children. Oxcarbazepine can significantly improve the symptoms and intestinal flora in children with epilepsy.
Aged ; Bacteria/genetics* ; Child ; DNA, Bacterial ; Epilepsies, Partial/drug therapy* ; Gastrointestinal Microbiome ; Humans ; RNA, Ribosomal, 16S/genetics*

The community structure and diversity of the gut microbiota are associated with human diseases. However, the analysis of different community structure might be influenced by experimental approaches such as the quality of DNA extraction. Therefore, evaluating the efficiency of different DNA extraction methods for specific intestinal species is a guideline for obtaining a comprehensive human gut microbial profile, which may assist the in-depth investigation into the structure of the gut microbial community. The aim of this study was to perform a comparative analysis of five different DNA extraction methods. With the aid of qPCR, the efficiency of five DNA extraction kits was evaluated in terms of the purity of the extracted DNA, the DNA concentration, and the abundance of genomic DNA extracted from specific intestinal species. The results showed that the kit Q gave the best extraction results, especially for Gram-positive bacteria such as Lactobacillus and Bifidobacterium. The average DNA concentration of the N kit was lower than that of the Q kit, but there was no significant difference between the two in terms of the purity. Compared to the other three commercial kits (M, PSP, TG), the efficiency of the N kit in extracting the genomic DNA of the specified microorganisms were the least different from those of the Q kit. In contrast, the DNA extracted by the M kit was of higher quality but of lower concentration, and was not very efficient for Gram-positive bacteria. The DNA extracted by the TG and PSP kits was inferior to the other validated kits in terms of the concentration, quality and bacterial abundance. These results provide a basis for the selection of genomic DNA extraction methods in microecological research experiments.
DNA/genetics* ; DNA, Bacterial/genetics* ; Feces/microbiology* ; Humans ; Microbiota/genetics* ; RNA, Ribosomal, 16S/genetics*

Few studies have described the key features and prognostic roles of lung microbiota in patients with severe community-acquired pneumonia (SCAP). We prospectively enrolled consecutive SCAP patients admitted to ICU. Bronchoscopy was performed at bedside within 48 h of ICU admission, and 16S rRNA gene sequencing was applied to the collected bronchoalveolar lavage fluid. The primary outcome was clinical improvements defined as a decrease of 2 categories and above on a 7-category ordinal scale within 14 days following bronchoscopy. Sixty-seven patients were included. Multivariable permutational multivariate analysis of variance found that positive bacteria lab test results had the strongest independent association with lung microbiota (R² = 0.033; P = 0.018), followed by acute kidney injury (AKI; R² = 0.032; P = 0.011) and plasma MIP-1β level (R² = 0.027; P = 0.044). Random forest identified that the families Prevotellaceae, Moraxellaceae, and Staphylococcaceae were the biomarkers related to the positive bacteria lab test results. Multivariable Cox regression showed that the increase in α-diversity and the abundance of the families Prevotellaceae and Actinomycetaceae were associated with clinical improvements. The positive bacteria lab test results, AKI, and plasma MIP-1β level were associated with patients' lung microbiota composition on ICU admission. The families Prevotellaceae and Actinomycetaceae on admission predicted clinical improvements.
Acute Kidney Injury/complications* ; Bacteria/classification* ; Chemokine CCL4/blood* ; Community-Acquired Infections/microbiology* ; Humans ; Lung ; Microbiota/genetics* ; Pneumonia, Bacterial/diagnosis* ; Prognosis ; RNA, Ribosomal, 16S/genetics*

Objective: To explore the possibility that the intestinal flora profile in complex anal fistula patients is different to that of healthy controls. This was assessed by sequencing of 16S rDNA in fecal samples from cohorts representing these populations. Methods: Fecal samples were collected from 30 complex anal fistula patients and 30 matched healthy controls. Patients were included if they met the diagnostic criteria of cryptoglandular anal fistula and had exhibited symptoms for more than 3 months. Complex anal fistula is diagnosed under the following circumstances: if the fistula in question spans 2/3 or more of the diameter of the anal sphincter; if there are more than two external orifices or fistula tracks; or if recurrence is observed after previous anal fistula surgery. Patients were excluded if there were comorbities including inflammatory bowel disease (as assessed by colonoscopy), chronic diarrhea, chronic constipation, diabetes, gastrointestinal malignancies, liver/ kidney dysfunction, or cognitive impairment. Patients whose anal fistulas were caused by Crohn's disease, trauma, special infections (such as actinomycosis and tuberculosis) were also excluded, as were those who had used antibiotics, prebiotics, or probiotics that may affect intestinal microecology in the month prior to the study. Total bacterial genomic DNA was extracted by PCR amplification of the V4 hypervariable region of the 16S rRNA sequences. High-throughput sequencing and data analysis were performed on the Illumina Miseq platform. Finally, operational taxonomic unit (OTU) clustering, alpha diversity and LEfSE data analysis were carried out. The larger the Chao or ACE index is, the higher the species abundance of the microflora is expected to be. Similarly, a smaller value for the Simpson index or a larger value for the Shannon index indicates greater microflora diversity. There was no statistically significant difference in gender, age, body mass index (BMI), drinking history, or smoking history between the two groups (P>0.05), indicating that they were comparable. Results: The α-diversity analysis including ACE, Chao, Shannon and Simpson indexes indicated a richer diversity of intestinal microflora in complex anal fistula patients than in healthy controls. In both patients and controls, OUT cluster analysis demonstrated that 93.4%±32.0% and 87.4%±41.2% of sequences were from Firmicutes and Bacteroidetes spp., respectively. On a genus level, samples from anal fistula patients showed a greater abundance of Prevotella spp. (4.9%±7.4% vs. 0.1%±1.1%, P<0.001), Megamonas (3.9%±8.2% vs. 0.5%±4.2%, P<0.05) and Lachnospira (2.6%±5.7% vs. 0.1%±3.4%, P<0.05), while showing a lesser abundance of Proteobacteria spp. (0.02%±4.2% vs. 9.3%±14.4%, P<0.01), Enterococcus (0.02%±2.3% vs. 9.3%±19.6%, P<0.05), Bacteroides (24.7%±9.9% vs. 29.8%±9.1%, P<0.05) and Klebsiella (0.4%±4.2% vs. 3.9%±7.3%, P<0.05) compared with healthy controls. Intestinal flora diversity in the complex anal fistula group was richer than in controls, as indicated by a higher ACE index (293.30±44.00 vs. 218.75±33.83, t=102.069, P<0.001), a higher Chao index (318.40±41.99 vs. 250.00±46.38, t=77.818, P=0.028), a higher Shannon index (3.36±0.29 vs. 2.43±0.34, t=9.657, P=0.001), and a lower Simpson index (0.103±0.013 vs. 0.131±0.013, t=5.551, P=0.046). LDA effect size analysis suggests that the main strains of Veillonellaceae, Selenemondales and Negativicutes, which all belong to the phylum Firmicutes, have the greatest influence on the above difference (LDA>4). Conclusions: The diversity of intestinal flora in patients with complex anal fistula is greater than in healthy controls, suggesting that these bacteria or their metabolites may be involved in the occurrence and development of anal fistulas.
Anti-Bacterial Agents ; Bacteria/genetics* ; DNA, Ribosomal ; Gastrointestinal Microbiome ; Humans ; RNA, Ribosomal, 16S/genetics* ; Rectal Fistula/surgery*

Objective: To evaluate multidrug resistant loop-mediated isothermal amplification (MDR-LAMP) assay for the early diagnosis of multidrug-resistant tuberculosis and to compare the mutation patterns associated with the Methods: MDR-LAMP assay was evaluated using 100 Results: The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of MDR-LAMP were 85.5%, 93.6%, 96.7%, and 74.4% for the detection of resistance to isoniazid and rifampicin, respectively, and 80.5%, 92.3%, 98.6%, and 41.4% for the detection of Conclusion MDR-LAMP is a rapid and accessible assay for the laboratory identification of rifampicin and isoniazid resistance of
Antitubercular Agents ; Bacterial Proteins/genetics* ; Catalase/genetics* ; DNA, Bacterial/analysis* ; DNA-Directed RNA Polymerases/genetics* ; Drug Resistance, Multiple, Bacterial/genetics* ; Isoniazid ; Molecular Diagnostic Techniques/methods* ; Mutation ; Mycobacterium tuberculosis/isolation & purification* ; Nucleic Acid Amplification Techniques/methods* ; Oxidoreductases/genetics* ; Phenotype ; Rifampin ; Whole Genome Sequencing

The ban on addition of antibiotics in animal feed in China has made the search for new antibiotics substitutes, e.g. bacteriocin, a hot topic in research. The present study successfully isolated an antibacterial substance producing strain of Bacillus sp. from alpaca feces by agar diffusion method, using Escherichia coli, Salmonella enterica, Staphylococcus aureus, Staphylococcus epidermidis, Micrococcus luteus and Listeria monocytogenes as indicator bacteria. The isolated strain was named as B. licheniformis SXAU06 based on colony morphology, Gram staining and 16S rRNA gene sequence. The antibacterial substance was isolated and purified through a series of procedures including (NH4)2SO4 precipitation, chloroform extraction, molecular interception and SDS-PAGE analysis. Bioinformatics analysis of the LC-MS/MS data indicated that the antibacterial substance was a bacteriocin-like substance (BLIS) with an approximate molecular weight of 14 kDa, and it was designated as BLIS_SXAU06. BLIS_SXAU06 exhibited high resistance to treatment of proteinase K, high temperature, high acidity and alkalinity. BLIS_SXAU06 was heterologously expressed in E. coli and the recombinant BLIS_SXAU06 exhibited effective antibacterial activity against S. aureus, S. epidermidis, M. luteus, and L. monocytogenes, showing potential to be investigated further.
Animals ; Anti-Bacterial Agents/pharmacology* ; Bacillus licheniformis ; Bacteriocins/pharmacology* ; China ; Chromatography, Liquid ; Escherichia coli/genetics* ; Listeria monocytogenes ; RNA, Ribosomal, 16S ; Staphylococcus aureus ; Tandem Mass Spectrometry

The purpose of this study is to provide a simple and reliable genetic typing approach for molecular drug susceptibility test of Mycobacterium tuberculosis, through the developing of fluorescence molecular marker of rifampicin resistance gene rpoB. Eleven fluorescent molecular markers of the rpoB gene were established by using the sequence difference between the amino acid positions 531, 526, 516, 511 and 513 of rpoB gene of rifampicin-resistant strains and the alleles of rifampicin-sensitive strains, combined with the PARMS technique (Penta-primer amplification refractory mutation system). We used 104 clinical isolates of Mycobacterium tuberculosis to validate this marker and it was verified by sequencing as 100% correct. These samples were also tested with proportional drug sensitivity test. The coincidence rate was 94.23%. The molecular markers had high reliability for genotyping of rpoB gene. It can also detect low-concentration drug-resistant samples (511/533 unit point mutations) whose phenotypic susceptibility cannot be detected. The eleven sets of fluorescent molecular markers could cover 92%-96% of rpoB gene mutation types of rifampicin-resistant strains, and provide new idea for rapid detection of rifampin-resistant Mycobacterium tuberculosis.
Bacterial Proteins/genetics* ; DNA-Directed RNA Polymerases/genetics* ; Drug Resistance, Bacterial/genetics* ; Microbial Sensitivity Tests ; Mutation ; Mycobacterium tuberculosis/genetics* ; Reproducibility of Results ; Rifampin/pharmacology* ; Technology