Biology subjects

Moissl-Eichinger, C.

Publications and source records attributed to Moissl-Eichinger, C..

22 records · Page 2Linked to original sources

bioRxiv2019

Human Milk Oligosaccharides modulate the risk for preterm birth in a microbiome dependent and independent manner

BackgroundPreterm birth is one of the leading causes of neonatal mortality. The causes for spontaneous preterm birth (PTB) are multifactorial and remain often unknown. In this study, we tested the hypothesis that human milk oligosaccharides (HMOs) in blood and urine modulate the maternal urinary and vaginal microbiome and influence the risk for PTB. We analyzed the vaginal and urinary microbiome of a cross-sectional cohort of women with and without preterm labor and correlated our findings with measurements of metabolites and HMOs in urine and blood.\n\nResultsWe identified several microbial signatures associated with short cervix, PTB and/or preterm contractions such as Lactobacillus jensenii, L. gasseri, Ureaplasma sp. and Gardnerella sp.. Additionally, we observed associations between sialylated HMOs, in particular 3-sialyllactose, with PTB, short cervix and increased inflammation and confirmed an influence of HMOs on the microbiome profile.\n\nConclusionsIdentifying serum and urinary HMOs and several key microorganisms associated with PTB, our findings point at two distinct processes modulating the risk for PTB. One process seems to be driven by sterile inflammation, characterized by increased concentrations of sialylated HMOs in serum. Another process might be microbiome-mediated, potentially driven by secretor-active HMOs in urine. Our results support current efforts to improve diagnostics and therapeutic strategies.

microbiology↗

bioRxiv2019

The International Space Station selects for microorganisms adapted to the extreme environment, but does not induce genomic and physiological changes relevant for human health

The International Space Station (ISS) is a unique, completely confined habitat for the human crew and co-inhabiting microorganisms. Here, we report on the results of the ISS experiment "EXTREMOPHILES". We aimed to exploit the microbial information obtained from three surface and air sampling events aboard the International Space Station during increments 51 and 52 (2017) with respect to: i) microbial sources, diversity and distribution within the ISS, ii) functional capacity of microbiome and microbial isolates, iii) extremotolerance and antibiotics-resistance (compared to ground controls), and iv) microbial behavior towards ISS-relevant materials such as biofilm formation, or potential for degradation. We used wipe samples and analyzed them by amplicon and metagenomics sequencing, cultivation, comparative physiological studies, antibiotic resistance tests, genome analysis of isolates and co-incubation experiments with ISS-relevant materials. The major findings were: i) the ISS microbiome profile is highly similar to ground-based confined indoor environments, ii) the ISS microbiome is subject to fluctuations and indicative for the (functional) location, although a core microbiome was present over time and independent from location, iii) the ISS selects for microorganisms adapted to the extreme environment, but does not necessarily induce genomic and physiological changes which might be relevant for human health, iv) cleanrooms and cargo seems to be a minor source of microbial contamination aboard, and v) microorganisms can attach to and grow on ISS-relevant materials. Biofilm formation might be a threat for spacecraft materials with the potential to induce instrument malfunctioning with consequences for mission success. We conclude that our data do not raise direct reason for concern with respect to crew health, but indicate a potential threat towards biofilm formation and material integrity in moist areas.

microbiology↗

bioRxiv2018

Dead or Alive? Molecular life-dead distinction in human stool samples reveals significantly different composition of the microbial community

The gut microbiome is strongly interwoven with human health. Conventional gut microbiome analysis generally involves 16S rRNA gene targeting next generation sequencing (NGS) of stool microbial communities, and correlation of results with clinical parameters. However, some microorganisms may not be alive at the time of sampling, and thus their impact on the human health is potentially less significant. As conventional NGS methods do not differentiate between viable and dead microbial components, retrieved results provide only limited information.\n\nPropidium monoazide (PMA) is frequently used in food safety monitoring and other disciplines to discriminate living from dead cells. PMA binds to free DNA and masks it for subsequent procedures. In this article we show the impact of PMA on the results of 16S rRNA gene-targeting NGS from human stool samples and validate the optimal applicable concentration to achieve a reliable detection of the living microbial communities.\n\nFresh stool samples were treated with a concentration series of zero to 300 M PMA, and were subsequently subjected to amplicon-based NGS. The results indicate that a substantial proportion of the human microbial community is not intact at the time of sampling. PMA treatment significantly reduced the diversity and richness of the sample depending on the concentration and impacted the relative abundance of certain important microorganisms (e.g. Akkermansia, Bacteroides). Overall, we found that a concentration of 100 M PMA was sufficient to quench signals from disrupted microbial cells.\n\nThe optimized protocol proposed here can be easily implemented in classical microbiome analyses, and helps to retrieve an improved and less blurry picture of the microbial community composition by excluding signals from background DNA.

microbiology↗

bioRxiv2018

Measuring the archaeome: detection and quantification of archaea signatures in the human body

Due to their fundamentally different biology, archaea are consistently overlooked in conventional 16S rRNA gene amplicon surveys. Herein, we evaluate different methodological set-ups to detect and quantify archaea signatures in human samples (nose, oral, appendix, stool, and skin) using amplicon sequencing and quantitative PCR.\n\nWith our optimized protocol, we were able to increase the detection of archaeal RSVs from one (using a so-called \"universal\" approach) to 81 RSVs in a representative sample set. Moreover, we confirmed the presence of about 5% archaeal signatures in the human gut, but found, unexpectedly, an almost 1:1 ratio of archaeal to bacterial 16S rRNA genes in appendix and nose samples. This finding indicates a high prevalence of archaeal signatures in body regions thus far not analyzed for the presence of archaea using appropriate methods.\n\nIn order to assess the archaeome diversity and archaeal abundance, a specific archaea-targeting methodology is required, for which we propose two standard procedures. These methodologies might not only prove useful for analyzing the human archaeome in more detail, but could also be used for other holobionts samples.

microbiology↗