Molecular analysis of dominant paranasal sinus bacteria in patients with and without chronic rhinosinusitis

Recent studies have established the possible role of microbiota in developing various diseases. In this regard, attention has shifted to the evaluation of microbiota changes in the paranasal sinuses and its relationship to chronic rhinosinusitis (CRS), especially CRS with nasal polyposis (CRSwNP). This study aimed to examine the bacterial communities of the sphenoidal sinus in Iranian patients with and without CRS. The investigation included 36 subjects, including 18 patients with CRSwNP who underwent Functional Endoscopic Sinus Surgery (FESS) and 18 non-CRS patients who underwent Endoscopic Endonasal Approach (EEA) for pituitary adenoma. The surgeries were performed under general anesthesia, and the sphenoidal sinus was sampled using sterile rayon-tipped swabs coated with a sheet. TaqMan quantitative real-time polymerase chain reaction (qPCR) method (the 16S rDNA gene from bacteria) was used for detection of bacterial communities in different samples. Staphylococcus haemolyticus and Pseudomonas aeruginosa were significantly more prevalent in CRS patients than non-CRS patients (P value ≤ 0.05). However, no significant difference in the frequency of Corynebacterium spp. and Staphylococcus aureus was observed between the two groups, and no Streptococcus pneumoniae or Haemophilus influenza species were isolated from any of the samples. The current study's findings indicated a significant difference in the frequency of certain bacterial species in patients with CRS vs. non-CRS patients. By establishing a link between microbial burden and CRS, it is possible to develop effective treatments or even prevent disorders in this body area.

Alteration of the gut microbiota associated with childhood obesity by 16S rRNA gene sequencing

Background

Obesity is a global epidemic in the industrialized and developing world, and many children suffer from obesity-related complications. Gut microbiota dysbiosis might have significant effect on the development of obesity. The microbiota continues to develop through childhood and thus childhood may be the prime time for microbiota interventions to realize health promotion or disease prevention. Therefore, it is crucial to understand the structure and function of pediatric gut microbiota.

Methods

According to the inclusion criteria and exclusion criteria, twenty-three normal weight and twenty-eight obese children were recruited from Nanjing, China. Genomic DNA was extracted from fecal samples. The V4 region of the bacterial 16S rDNA was amplified by PCR, and sequencing was applied to analyze the gut microbiota diversity and composition using the Illumina HiSeq 2500 platform.

Results

The number of operational taxonomic units (OTUs) showed a decrease in the diversity of gut microbiota with increasing body weight. The alpha diversity indices showed that the normal weight group had higher abundance and observed species than the obese group (Chao1: P < 0.001; observed species: P < 0.001; PD whole tree: P < 0.001; Shannon index: P = 0.008). Principal coordinate analysis (PCoA) and Nonmetric multidimensional scaling (NMDS) revealed significant differences in gut microbial community structure between the normal weight group and the obese group. The liner discriminant analysis (LDA) effect size (LEfSe) analysis showed that fifty-five species of bacteria were abundant in the fecal samples of the normal weight group and forty-five species of bacteria were abundant in the obese group. In regard to phyla, the gut microbiota in the obese group had lower proportions of Bacteroidetes (51.35%) compared to the normal weight group (55.48%) (P = 0.030). There was no statistical difference in Firmicutes between the two groups (P = 0.436), and the Firmicutes/Bacteroidetes between the two groups had no statistical difference (P = 0.983). At the genus level, Faecalibacterium, Phascolarctobacterium, Lachnospira, Megamonas, and Haemophilus were significantly more abundant in the obese group than in the normal weight group (P = 0.048, P = 0.018, P < 0.001, P = 0.040, and P = 0.003, respectively). The fecal microbiota of children in the obese group had lower proportions of Oscillospira and Dialister compared to the normal weight group (P = 0.002 and P = 0.002, respectively).

Conclusions

Our results showed a decrease in gut microbiota abundance and diversity as the BMI increased. Variations in the bacterial community structure were associated with obesity. Gut microbiota dysbiosis might play a crucial part in the development of obesity in Chinese children.

Comparison of gut microbiota in adult patients with type 2 diabetes and healthy individuals

Recent studies indicate that inflammatory reactions leading to the development of type 2 diabetes mellitus (T2DM) may also contribute to variations in the composition of the intestinal microbiota, suggesting a relation between T2DM and bacterial residents in the intestinal tract. This case-control study was designed to evaluate the composition of the gut microbiota dominant bacterial groups in patients with T2DM compared to the healthy people. A total of 36 adult subjects (18 patients diagnosed with T2DM and 18 healthy persons) were included in the study. The intestinal microbiota composition was investigated by quantitative real-time polymerase chain reaction (qPCR) method using bacterial 16S rRNA gene. The quantities of two groups of bacteria were meaningfully different among T2DM patients and healthy individuals. While, the level of Lactobacillus was significantly higher in the patients with T2DM (P value < 0.001), Bifidobacterium was significantly more frequent in the healthy people (P value < 0.001). The quantities of Prevotella (P value = 0.0.08) and Fusobacterium (P value = 0.99) genera in faecal samples were not significantly different between the two groups. The significant alterations in dominant faecal bacterial genera found in T2DM patients participating in the current study highlight the link between T2DM disease and compositional variation in intestinal flora. These findings may be valuable for developing approaches to control T2DM by modifying the gut microbiota. More investigations with focus on various taxonomic levels (family, genus and species) of bacteria are necessary to clarify the exact relevance of changes in the gut microbial communities with the progression of T2DM disorder.