Investigating the human jejunal microbiota.

Descriptions of the small intestinal microbiota are deficient and conflicting. We aimed to get a reliable description of the jejunal bacterial microbiota by investigating samples from two separate jejunal segments collected from the luminal mucosa during surgery. Sixty patients with morbid obesity selected for elective gastric bypass surgery were included in this survey. Samples collected by rubbing a swab against the mucosa of proximal and mid jejunal segments were characterized both quantitatively and qualitatively using a combination of microbial culture, a universal quantitative PCR and 16S deep sequencing. Within the inherent limitations of partial 16S sequencing, bacteria were assigned to the species level. By microbial culture, 53 patients (88.3%) had an estimated bacterial density of < 1600 cfu/ml in both segments whereof 31 (51.7%) were culture negative in both segments corresponding to a bacterial density below 160 cfu/ml. By quantitative PCR, 46 patients (76.7%) had less than 104 bacterial genomes/ml in both segments. The most abundant and frequently identified species by 16S deep sequencing were associated with the oral cavity, most often from the Streptococcus mitis group, the Streptococcus sanguinis group, Granulicatella adiacens/para-adiacens, the Schaalia odontolytica complex and Gemella haemolysans/taiwanensis. In general, few bacterial species were identified per sample and there was a low consistency both between the two investigated segments in each patient and between patients. The jejunal mucosa of fasting obese patients contains relatively few microorganisms and a core microbiota could not be established. The identified microbes are likely representatives of a transient microbiota and there is a high degree of overlap between the most frequently identified species in the jejunum and the recently described ileum core microbiota.

Characterization of abscesses from liver, pancreas and kidney using deep sequencing of the 16S rRNA gene.

To characterize the microbial communities in abscess material from liver, pancreas, and kidneys, we performed deep sequencing of the 16S rRNA gene, in addition to cultivation and Sanger based 16S rRNA gene sequencing directly from the samples. Fifty-nine abscess samples were investigated, 38 from liver, 11 from pancreas, 10 from kidney. Using deep sequencing we made 227 bacterial identifications in 52 specimens, as compared to 69 identifications from the 44 specimens positive by culture. Escherichia coli, Enterococcus sp., Klebsiella sp. and Streptococcus sp. were the most common findings, but various anaerobe bacteria also constituted a large part of the microflora and those were frequently not detected by culture. Culture-independent methods like 16S deep sequencing can significantly improve microbiological diagnostics of clinical specimens. They are particularly valuable for complex purulent infections like abdominal abscesses. Therefore, deep sequencing approaches should be considered as a part of the available repertoire in diagnostic hospital laboratories.

The 'Finnish new variant of Chlamydia trachomatis' escaping detection in the Aptima Combo 2 assay is widespread across Norway, June to August 2019.

The 'Finnish new variant of Chlamydia trachomatis' (FI-nvCT), escaping detection in the Aptima Combo 2 assay (AC2), is widespread across Norway. From June to August 2019, 84% (81/97) of available AC2/Aptima CT discordant samples from five laboratories were confirmed as FI-nvCT. Two additional CT variants (CT 23S rRNA C1514T and G1523A) also escaped AC2 detection. The high FI-nvCT proportion might indicate a long-term national spread and it cannot be excluded that FI-nvCT emerged in Norway.