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Background The understanding of longitudinal changes in the urinary microbiota of healthy women and its relation to intestinal microbiota is limited. Methods From a cohort of 15 premenopausal women without known urogenital disease or current symptoms, we collected catheter urine (CU), vaginal and periurethral swabs, and fecal samples on four visits over six months. Additionally, ten participants provided CU and midstream urine (MU) to assess comparability. Urine was subjected to expanded culture. 16S rRNA gene sequencing was performed on all urine, fecal, and selected vaginal and periurethral samples. Sequence reads were processed (DADA2 pipeline) and analyzed using QIIME 2 and R. Results Relative abundances of urinary microbiota were variable over 6-18 months. The degree of intraindividual variability of urinary microbiota was higher than that found in fecal samples. Still, nearly half of the observed beta diversity of all urine samples could be attributed to differences between volunteers (R-2 = 0.48, p = 0.001). After stratification by volunteer, time since last sexual intercourse was shown to be a factor significantly contributing to beta diversity (R-2 = 0.14, p = 0.001). We observed a close relatedness of urogenital microbial habitats and a clear distinction from intestinal microbiota in the overall betadiversity analysis. Microbiota compositions derived from MU differed only slightly from CU compositions. Within this analysis of low-biomass samples, we identified contaminating sequences potentially stemming from sequencing reagents. Conclusions Results from our longitudinal cohort study confirmed the presence of a rather variable individual urinary microbiota in premenopausal women. These findings from catheter urine complement previous observations on temporal dynamics in voided urine. The higher intraindividual variability of urinary microbiota as compared to fecal microbiota will be a challenge for future studies investigating associations with urogenital

In this cross-sectional study, we hypothesized that a high dietary ratio of omega-6 (n-6) to omega-3 (n-3) fatty acids could be associated with an altered gut bacterial composition and with the disease severity in patients with nonalcoholic fatty liver disease (NAFLD). A total of 101 NAFLD patients were included in the study, of which 63 underwent a liver biopsy. All 101 patients completed a 14-day food and activity record. Ebispro 2016 professional software was used to calculate individual macronutrients and micronutrients consumed. Patients were grouped into 3 quantiles (Q) according to a low (Q1: < 6.1, n = 34), moderate (Q2: 6.1-7.8, n = 33), or high (Q3: > 7.8, n = 34) dietary n-6/n-3 ratio. Stool samples were analyzed using 16S rRNA gene sequencing. Spearman correlation coefficients and principal coordinate analysis were used to detect differences in the bacterial composition of the gut microbiota. The me-dian dietary n-6/n-3 ratio of all patients was 6.7 (range, 3.1-14.9). No significant associations between the dietary n-6/n-3 ratio and the gut microbiota composition or disease severity were observed. However, the abundance of specific bacteria such as Catenibacterium or Lacto-bacillus ruminis were found to be positively correlated and the abundance of Clostridium were negatively correlated with dietary n-6 fatty acid intake. The results indicate that a high di-etary n-6/n-3 ratio is probably not a highly relevant factor in the pathogenesis of human NAFLD. Further studies are needed to clarify the importance of interactions between gut bacterial taxa and n-6 fatty acids in the pathophysiology of NAFLD.(c) 2022 Elsevier Inc. All rights reserved.

Background: The understanding of longitudinal changes in the urinary microbiota of healthy women and its relation to intestinal microbiota is limited. Methods: From a cohort of 15 premenopausal women without known urogenital disease or current symptoms, we collected catheter urine (CU), vaginal and periurethral swabs, and fecal samples on four visits over six months. Additionally, ten participants provided CU and midstream urine (MU) to assess comparability. Urine was subjected to expanded culture. 16S rRNA gene sequencing was performed on all urine, fecal, and selected vaginal and periurethral samples. Sequence reads were processed (DADA2 pipeline) and analyzed using QIIME 2 and R. Results: Relative abundances of urinary microbiota were variable over 6–18 months. The degree of intraindividual variability of urinary microbiota was higher than that found in fecal samples. Still, nearly half of the observed beta diversity of all urine samples could be attributed to differences between volunteers (R2 = 0.48, p = 0.001). After stratification by volunteer, time since last sexual intercourse was shown to be a factor significantly contributing to beta diversity (R2 = 0.14, p = 0.001). We observed a close relatedness of urogenital microbial habitats and a clear distinction from intestinal microbiota in the overall betadiversity analysis. Microbiota compositions derived from MU differed only slightly from CU compositions. Within this analysis of low-biomass samples, we identified contaminating sequences potentially stemming from sequencing reagents. Conclusions: Results from our longitudinal cohort study confirmed the presence of a rather variable individual urinary microbiota in premenopausal women. These findings from catheter urine complement previous observations on temporal dynamics in voided urine. The higher intraindividual variability of urinary microbiota as compared to fecal microbiota will be a challenge for future studies investigating associations with urogenita

Overconsumption of carbohydrates and lipids are well known to cause nonalcoholic fatty liver disease (NAFLD), while the role of nutritional protein intake is less clear. In Western diet, meat and other animal products are the main protein source, with varying concentrations of specific amino acids. Whether the amount or composition of protein intake is associated with a higher risk for disease severity has not yet been examined. In this study, we investigated associations of dietary components with histological disease activity by analyzing detailed 14-day food records in a cohort of 61 patients with biopsy-proven NAFLD. Furthermore, we used 16S ribosomal RNA gene sequencing to detect associations with different abundances of the gut microbiota with dietary patterns. Patients with definite nonalcoholic steatohepatitis (NAFLD activity score of 5-8 on liver biopsy) had a significantly higher daily relative intake of protein compared with patients with a NAFLD activity score of 0-4 (18.0% vs. 15.8% of daily protein-based calories, P = 0.018). After adjustment for several potentially confounding factors, a higher protein intake (>= 17.3% of daily protein-based calories) remained associated with definite nonalcoholic steatohepatitis, with an odds ratio of 5.09 (95% confidence interval 1.22-21.25, P = 0.026). This association was driven primarily by serine, glycine, arginine, proline, phenylalanine, and methionine. A higher protein intake correlated with a lower Bacteroides abundance and an altered abundance of several other bacterial taxa. Conclusion: A high protein intake was independently associated with more active and severe histological disease activity in patients with NAFLD. Further studies are needed to investigate the potential harmful role of dietary amino acids on NAFLD, with special attention to meat as their major source.

Background and Aim Several studies observed alterations in the gut microbiota in patients with non-alcoholic fatty liver disease (NAFLD). However, analyzed patient populations and methods strongly differ among these studies. The aim of this study was to prove the reproducibility of published results and to provide a detailed overview of all findings in our NAFLD cohort using next generation sequencing methods. Methods The individual taxonomic microbiota composition of fecal samples from 90 NAFLD patients and 21 healthy controls was analyzed using 16S rRNA gene sequencing. Study participants were grouped according to their disease stage and compared regarding their gut microbiota composition. Studies were identified from PubMed listed publications, and the results were compared with the findings in our cohort. Results Results from 13 identified studies were compared with our data. A decreased abundance of the Bacteroidetes and Ruminococcaceae as well as an increased abundance of Lactobacillaceae and Veillonellaceae and Dorea were the most frequently reported changes among NAFLD patients in 4/13, 5/13, 4/13, 2/13, and 3/13 studies, respectively. Even though these alterations in the gut microbiota composition were also observed in our patient cohort, the majority of published differences could not be reproduced, neither in our own nor in other NAFLD cohort studies. Conclusion Despite repeatedly reproduced abundance patterns of specific bacteria, the heterogeneous study results did not reveal a consistent disease specific gut microbiota signature. Further prospective studies with homogenous patient cohorts and standardized methods are necessary to phenotype NAFLD by the gut microbiota.

Background and Aim: Several studies observed alterations in the gut microbiota in patients with non‐alcoholic fatty liver disease (NAFLD). However, analyzed patient populations and methods strongly differ among these studies. The aim of this study was to prove the reproducibility of published results and to provide a detailed overview of all findings in our NAFLD cohort using next generation sequencing methods. Methods: The individual taxonomic microbiota composition of fecal samples from 90 NAFLD patients and 21 healthy controls was analyzed using 16S rRNA gene sequencing. Study participants were grouped according to their disease stage and compared regarding their gut microbiota composition. Studies were identified from PubMed listed publications, and the results were compared with the findings in our cohort. Results: Results from 13 identified studies were compared with our data. A decreased abundance of the Bacteroidetes and Ruminococcaceae as well as an increased abundance of Lactobacillaceae and Veillonellaceae and Dorea were the most frequently reported changes among NAFLD patients in 4/13, 5/13, 4/13, 2/13, and 3/13 studies, respectively. Even though these alterations in the gut microbiota composition were also observed in our patient cohort, the majority of published differences could not be reproduced, neither in our own nor in other NAFLD cohort studies. Conclusion: Despite repeatedly reproduced abundance patterns of specific bacteria, the heterogeneous study results did not reveal a consistent disease specific gut microbiota signature. Further prospective studies with homogenous patient cohorts and standardized methods are necessary to phenotype NAFLD by the gut microbiota.

Succinat und ihre Derivate werden in vielfältiger Weise in den Bereichen Tenside, Lebensmittel, Pharmazeutika und Polymere angewendet. Aufgrund der derzeit kostenintensiven petrochemischen Synthese ist die aerobe nicht-konventionelle Hefe Yarrowia (Y.) lipolytica für die biotechnologische Succinatsynthese von großem Interesse. In der vorliegenden Arbeit wurde das Potential dieser Hefe für eine industrielle Succinatproduktion unter Betrachtung des Einflusses der enzymatischen Aktivitäten von Succinyl-CoA Synthetase und Pyruvat-Carboxylase auf die Succinatsynthese untersucht. Es wurde eine Steigerung der Succinatausbeute um 40 % durch die Erhöhung der Pyruvat-Carboxylase Aktivität um den Faktor 7-8 gemeinsam mit der Deletion des Gens der β Untereinheit der Succinyl-CoA Synthetase im genetisch veränderten Y. lipolytica Stamm H222-AK10 (mcPYC Δscs2) erzielt. Unter Verwendung von Glycerol als C-Quelle wurde eine Erhöhung der Succinatbildung der Transformande H222 AK10 im Vergleich zum Wildtyp von 5,1 ± 0,7 g/l auf 8,7 ± 1,6 g/l nachgewiesen. Die Raum-Zeit-Ausbeute dieses Hefestammes verdoppelte sich von 11,9 ± 1,3 mg/l*h auf 21,9 ± 2,5 mg/l*h. Eine Erhöhung der Sekretion organischer Säuren gelang hingegen nicht durch den alleinigen Verlust der Succinyl-CoA Synthetase Aktivität in den Stämmen H222-AK4 (scs1::URA3), H222-AK8 (scs2:.URA3) und H222-AK9 (scs1::URA3 Δscs2) oder durch die alleinige Aktivitätserhöhung der Pyruvat-Carboxylase in H222-AK1 (mcPYC). Des Weiteren wurde ein Y. lipolytica Stamm erzeugt, der durch die Überexpression der für die Succinyl-CoA Synthetase kodierenden Gene SCS1 und SCS2 charakterisiert ist. Die Transformande H222 AK2 (mcSCS1 mcSCS2) bildete unter den gleichen Kultivierungsbedingungen durchschnittlich 2 g/l weniger Succinat als der Wildtyp (5,1 ± 0,7 g/l). Auch die zusätzliche Erhöhung der Pyruvat-Carboxylase Aktivität um den Faktor 4 in der Transformande H222 AK3 (mcPYC mcSCS1 mcSCS2) konnte den negativen Effekt der erhöhten Gen-Dosen von SC