Species-level identification of enterotype-specific microbial markers for colorectal cancer and adenoma.

Enterotypes have been shown to be an important factor for population stratification based on gut microbiota composition, leading to a better understanding of human health and disease states. Classifications based on compositional patterns will have implications for personalized microbiota-based solutions. There have been limited enterotype based studies on colorectal adenoma and cancer. Here, an enterotype-based meta-analysis of fecal shotgun metagenomic studies was performed, including 1579 samples of healthy controls (CTR), colorectal adenoma (ADN) and colorectal cancer (CRC) in total. Gut microbiota of healthy people were clustered into three enterotypes (Ruminococcus-, Bacteroides- and Prevotella-dominated enterotypes). Reference-based enterotype assignments were performed for CRC and ADN samples, using the supervised machine learning algorithm, K-nearest neighbors. Differential abundance analyses and random forest classification were conducted on each enterotype between healthy controls and CRC-ADN groups, revealing novel enterotype-specific microbial markers for non-invasive CRC screening strategies. Furthermore, we identified microbial species unique to each enterotype that play a role in the production of secondary bile acids and short-chain fatty acids, unveiling the correlation between cancer-associated gut microbes and dietary patterns. The enterotype-based approach in this study is promising in elucidating the mechanisms of differential gut microbiome profiles, thereby improving the efficacy of personalized microbiota-based solutions.

Prodrugs for nitroreductase based cancer therapy-4: Towards prostate cancer targeting: Synthesis of N-heterocyclic nitro prodrugs, Ssap-NtrB enzymatic activation and anticancer evaluation.

In this study, various N-heterocyclic nitro prodrugs (NHN1-16) containing pyrimidine, triazine and piperazine rings were designed and synthesized. The final compounds were identified using FT-IR, 1H NMR, 13C NMR as well as elemental analyses. Enzymatic activities of compounds were conducted by using HPLC analysis to investigate the interaction of substrates with Ssap-NtrB nitroreductase enzyme. MTT assay was performed to evaluate the toxic effect of compounds against Hep3B and PC3 cancer cell lines and healthy HUVEC cell. It was observed that synthesized compounds NHN1-16 exhibited different cytotoxic profiles. Pyrimidine derivative NHN3 and triazine derivative NHN5 can be good drug candidates for prostate cancer with IC50 values of 54.75 µM and 48.9 µM, respectively. Compounds NHN6, NHN10, NHN12, NHN14 and NHN16 were selected as prodrug candidates because of non-toxic properties against three different cell models. The NHN prodrugs and Ssap-NtrB combinations were applied to SRB assay to reveal the prodrug capabilities of these selected compounds. SRB screening results showed that the metabolites of all selected non-toxic compounds showed remarkable cytotoxicity with IC50 values in the range of 1.71-4.72 nM on prostate cancer. Among the tested compounds, especially piperazine derivatives NHN12 and NHN14 showed significant toxic effect with IC50 values of 1.75 nM and 1.79 nM against PC3 cell compared with standart prodrug CB1954 (IC50: 1.71 nM). Novel compounds NHN12 and NHN14 can be considered as promising prodrug candidates for nitroreductase-prodrug based prostate cancer therapy.

Author Correction: Effect of iron and magnesium addition on population dynamics and high value product of microalgae grown in anaerobic liquid digestate.

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

Effect of iron and magnesium addition on population dynamics and high value product of microalgae grown in anaerobic liquid digestate.

In this study, FeSO4 supplementation ranging from 0 to 4.5 mM, and MgSO4 supplementation ranging from 0 to 5.1 mM were investigated to observe the effect on the population dynamics, biochemical composition and fatty acid content of mixed microalgae grown in Anaerobic Liquid Digestate (ALD). Overall, 3.1 mM FeSO4 addition into ALD increased the total protein content 60% and led to highest biomass (1.56 g L-1) and chlorophyll-a amount (18.7 mg L-1) produced. Meanwhile, 0.4 mM MgSO4 addition increased the total carotenoid amount 2.2 folds and slightly increased the biomass amount. According to the microbial community analysis, Diphylleia rotans, Synechocystis PCC-6803 and Chlorella sorokiniana were identified as mostly detected species after confirmation with 4 different markers. The abundance of Chlorella sorokiniana and Synechocystis PCC-6803 increased almost 2 folds both in iron and magnesium addition. On the other hand, the dominancy of Diphylleia rotans was not affected by iron addition while drastically decreased (95%) with magnesium addition. This study helps to understand how the dynamics of symbiotic life changes if macro elements are added to the ALD and reveal that microalgae can adapt to adverse environmental conditions by fostering the diversity with a positive effect on high value product.

Computational Systems Biology of Metabolism in Infection.

A systems approach to elucidate the effect of infection on cell metabolism provides several opportunities from a better understanding of molecular mechanisms to the identification of potential biomarkers and drug targets. This is obvious from the fact that we have witnessed the accelerated use of computational systems biology in the last five years to study metabolic changes in pathogen and/or host cells in response to infection. In this chapter, we aim to present a comprehensive review of the recent research by focusing on genome-scale metabolic network models of pathogen-host systems and genome-wide metabolomics and fluxomics analysis of infected cells.