Cyanobacterial bloom-associated lipopolysaccharides induce pro-inflammatory processes in keratinocytes in vitro.

Our previous studies have shown that CyanoHAB LPS (lipopolysaccharides) and LPS from cyanobacterial cultures induce pro-inflammatory effects on intestinal epithelial and immune cells in vitro. To expand our understanding, we investigated their impact on human keratinocytes, which are targeted during water recreational activities. LPS samples were isolated from CyanoHAB biomasses dominated by Microcystis, Aphanizomenon, Planktothrix, and Dolichospermum, or from axenic cultures of these genera. We identified two CyanoHAB biomasses containing a high proportion of Gram-negative bacteria, including potentially pathogenic genera. These biomasses showed the highest induction of interleukin (IL) 8, IL-6, C-C motif chemokine ligand (CCL) 2 (also known as MCP-1), and CCL20 production by HaCaT cells. Interestingly, all CyanoHAB-derived LPS and LPS from axenic cultures (except for Microcystis) accelerated cell proliferation and migration. Our findings highlight the role of G- bacteria composition and LPS structural disparities in influencing these effects, with implications for skin health during recreational activities.

Corrigendum for: Healthy Microbiome - a Mere Idea or a Sound Concept?

List of changes: On the basis of author's request the publisher of Physiological Research decided to change the license of the article to CC BY license.

Multi-omics signatures in new-onset diabetes predict metabolic response to dietary inulin: findings from an observational study followed by an interventional trial.

AIM: The metabolic performance of the gut microbiota contributes to the onset of type 2 diabetes. However, targeted dietary interventions are limited by the highly variable inter-individual response. We hypothesized (1) that the composition of the complex gut microbiome and metabolome (MIME) differ across metabolic spectra (lean-obese-diabetes); (2) that specific MIME patterns could explain the differential responses to dietary inulin; and (3) that the response can be predicted based on baseline MIME signature and clinical characteristics. METHOD: Forty-nine patients with newly diagnosed pre/diabetes (DM), 66 metabolically healthy overweight/obese (OB), and 32 healthy lean (LH) volunteers were compared in a cross-sectional case-control study integrating clinical variables, dietary intake, gut microbiome, and fecal/serum metabolomes (16 S rRNA sequencing, metabolomics profiling). Subsequently, 27 DM were recruited for a predictive study: 3 months of dietary inulin (10 g/day) intervention. RESULTS: MIME composition was different between groups. While the DM and LH groups represented opposite poles of the abundance spectrum, OB was closer to DM. Inulin supplementation was associated with an overall improvement in glycemic indices, though the response was very variable, with a shift in microbiome composition toward a more favorable profile and increased serum butyric and propionic acid concentrations. The improved glycemic outcomes of inulin treatment were dependent on better baseline glycemic status and variables related to the gut microbiota, including the abundance of certain bacterial taxa (i.e., Blautia, Eubacterium halii group, Lachnoclostridium, Ruminiclostridium, Dialister, or Phascolarctobacterium), serum concentrations of branched-chain amino acid derivatives and asparagine, and fecal concentrations of indole and several other volatile organic compounds. CONCLUSION: We demonstrated that obesity is a stronger determinant of different MIME patterns than impaired glucose metabolism. The large inter-individual variability in the metabolic effects of dietary inulin was explained by differences in baseline glycemic status and MIME signatures. These could be further validated to personalize nutritional interventions in patients with newly diagnosed diabetes.

Healthy microbiome - a mere idea or a sound concept?

Hundreds of studies in last decades have aimed to compare the microbiome of patients suffering from diverse diseases with that of healthy controls. The microbiome-related component was additionally identified in pathophysiology of many diseases formerly considered to depend only on the host physiology. This, however, opens important questions like: "What is the healthy microbiome?" or "Is it possible to define it unequivocally?". In this review, we describe the main hindrances complicating the definition of "healthy microbiome" in terms of microbiota composition. We discuss the human microbiome from the perspective of classical ecology and we advocate for the shift from the stress on microbiota composition to the functions that microbiome ensures for the host. Finally, we propose to leave the concept of ideal healthy microbiome and replace it by focus on microbiome advantageous for the host, which always depends on the specific context like the age, genetics, dietary habits, body site or physiological state.

[Molecular Pathology of Colorectal Cancer, Microsatellite Instability - the Detection, the Relationship to the Pathophysiology and Prognosis]. / Molekulární patologie kolorektálního karcinomu, mikrosatelitová nestabilita - zpusob detekce, vztah k patofyziologii a prognóze.

BACKGROUND: Colorectal carcinoma (CRC) is third most common cancer worldwide with very heterogenous character. In most cases, it is caused by sporadic events leading to disruption of epithelial cells of the colon. The minority evolves from germline mutations associated with hereditary cancer syndromes. Mechanisms leading to mutations of oncogenes, tumour suppressors and genes of DNA repair mechanisms include: 1. chromosomal instability, 2. microsatellite instability and 3. CpG island methylator phenotype. Microsatellite instability (MSI) usually arises from a germline mutation of the component of mismatch repair machinery (MMR) or somatic hypermethylation of the MLH1 promoter. The diagnostic approaches include PCR methods and immunohistochemistry for the detection of the loss of MMR part. The aim of our study was to characterise the cohort of ongoing study of gut microbiome in CRC patients considering MSI. MATERIAL AND METHODS: The consecutive study group consisted of 103 patients diagnosed with CRC. The cohort consisted of 45 women (43.7%) and 58 men (56.3%). Patient age at the time of diagnosis was within the range of 31-83 years (median 66 years). The expression of MLH1, MSH2, MSH6 and PMS2 proteins was detected by immunohistochemical method and the positivity was correlated with the stage and the localization of the primary tumour. RESULTS: The MMR status was determined by immunohistochemical method in 43 (41.7%) from the existing total of 103 patients. MSI was detected in 11 (25.6%) cases while 32 (74.4%) were microsatellite stabile. With the respect to cancer clasification the most cases of MSI was detected in stage II (8 cases; 22.2%). In regard to localization of primary tumour, MSI rather correlates to right site CRC, while microsatellite stable tumours do not show any site preferences. CONCLUSION: Considering low number of MMR status determination in study group, statistic evaluation is inaccurate so far. However there is a trend in our cohort in relation to determination of the portion of MSI in CRC population and also in localization of primary tumour according to literature.Key words: colorectal carcinoma - microsatellite instability - Lynch syndrome The work was supported by the project MEYS - NPS I - LO1413 and AZV 16-31966A. The authors declare they have no potential conflicts of interest concerning drugs, products, or services used in the study. The Editorial Board declares that the manuscript met the ICMJE recommendation for biomedical papers.Submitted: 13. 3. 2017Accepted: 26. 3. 2017.

In vivo spread of macrolide-lincosamide-streptogramin B (MLSB) resistance--a model study in chickens.

The influence of specific and non-specific antibiotic pressure on in vivo spread of macrolide-lincosamide-streptogramin B (MLSB) resistance was evaluated in this study. Chickens repeatedly inoculated with Enterococcus faecalis harbouring the plasmid pAMß1 carrying the erm(B) gene were perorally treated for one week with tylosin, lincomycin (both specific antibiotic pressure) and chlortetracycline (non-specific antibiotic pressure). Antibiotic non-treated but E. faecalis inoculated chickens served as a control. To quantify the erm(B) gene and characterise intestinal microflora, faecal DNA was analysed by qPCR and 454-pyrosequencing. Under the pressure of antibiotics, a significant increase in erm(B) was observed by qPCR. However, at the final stage of the experiment, an increase in erm(B) was also observed in two out of five non-treated chickens. In chickens treated with tylosin and chlortetracycline, the increase in erm(B) was accompanied by an increase in enterococci. However, E. faecalis was at the limit of detection in all animals. This suggests that the erm(B) gene spread among the gut microbiota other than E. faecalis. Pyrosequencing results indicated that, depending on the particular antibiotic pressure, different bacteria could be responsible for the spread of MLSB resistance. Different species of MLSB-resistant enterococci and streptococci were isolated from cloacal swabs during and after the treatment. PFGE analysis of MLSB-resistant enterococci revealed four clones, all differing from the challenge strain. All of the MLSB-resistant isolates harboured a plasmid of the same size as pAMß1. This study has shown that MLSB resistance may spread within the gut microbiota under specific and non-specific pressure and even in the absence of any antimicrobial pressure. Finally, depending on the particular antibiotic pressure, different bacterial species seems to be involved in the spread of MLSB resistance.

Influence of Salmonella enterica serovar enteritidis infection on the development of the cecum microbiota in newly hatched chicks.

Terminal restriction fragment length polymorphism and quantitative PCR showed that the cecal microbiota of chicks up to the age of 21 days was dominated by representatives of the orders Enterobacteriales, Clostridiales, and Lactobacillales. Salmonella enterica serovar Enteritidis infection caused the greatest changes in the gut microbiota when 1-day-old chicks were infected, compared with the infection of 4- and 16-day-old chicks.