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Calcium: Magnesium Balance, Microbiota, and Necroptosis and Inflammation

ABSTRACT: In addition to microbiota-host interaction on inflammatory response, many enzymes, including three enzymes critical in gluconeogenesis and transport of amino acids and carbohydrates in energy metabolism, are dependent on the Ca/Mg ratio, indicating critical roles of the Ca/Mg ratio in carbohydrate fermentation and energy metabolism in bacteria. In pilot metagenomic study conducted by the investigators, they found all the significantly changed biologic functions within the microbial community caused by a reduction in the Ca/Mg ratio are biologically dependent on the Ca/Mg ratio or Mg. It is striking that the functions with significant changes in stool samples were centered on the fermentation of carbohydrates and energy metabolism while the functions in rectal swabs were related to immune response. Tissue also had a distinct profile from stool and swab. These findings have very broad clinical and public health significance for many inflammation-related diseases or metabolic disorders. Due to the small sample size in the pilot study, the investigators plan to confirm these findings using the biospecimens collected in the parent study (Personalized Prevention of Colorectal Cancer Trial, NCT01105169).

DISEASE(S): Colorectal Cancer

PROVIDER: 2327067 | ecrin-mdr-crc |

REPOSITORIES: ECRIN MDR

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Project description:Transcriptome profiles were analyzed using the samples taken at the exponential and stationary phases during the cultivation of REL606 and MG1655 in LB medium. At the exponential growth phase, most highly expressed genes of B were those for replication, translation, or nucleotide transport and metabolism, while many of the K-12 genes were involved in cell motility, transcription, carbohydrate transport, or energy production. At the stationary phase, many of the genes highly expressed in B were for transport and metabolism of various amino acids and carbohydrates, whereas those in K-12 had functions related to cell motility, ribosomal subunit protein production, or energy generation. Many genes in REL606 and MG1655 showed highly distinct expression levels irrespective of growth conditions. Highly expressed genes in REL606 included those encoding enzymes for biosynthesis of L-arginine (argAGDECBHI) and branched-chain amino acid (ilvGMEDA), and those encoding a subunit of the L-arginine transporter (artJ), cytochrome b562 (cybC), subunits of the histidine ABC transporter (hisPJ), cytotoxins (hokED), outer membrane porin (ompF), L-arginine decarboxylase (speA), and cell division inhibitor (sulA). Highly expressed genes in MG1655 included those for chemotaxis (cheZYRWA, tap, trg, tsr), Lon protease (lon), C4-dicarboxylate-sensing histidine kinase (dcuS), chaperones (clpB, dnaK, groES, htpG, ibpA), the major subunit of type 1 fimbriae (fimA), a regulator of flagellar biosynthesis (flhC), glycerol-3-phosphate-dehydrogenase (glpABCD), glycerophosphoryl diester phosphodiesterase (glpQ), glycerol-3-phosphate transporter (glpT), hydrogenase 2 (hybCBO), outer membrane porins (nmpC, ompA, ompC), and galactitol transport and metabolism (gatYZC). All microarray experiments were performed in duplicate with dye-swapping. The probes were spotted in duplicate onto the microarray. Thus, the log2 of the intensity ratio with the two dyes for each spot was calculated from up to four values from the duplicated spot on the microarray and the dye-swap experiment.

Project description:Carcinoma-associated mesenchymal stem cells (CA-MSCs) are critical stromal progenitor cells within the tumor microenvironment. We previously demonstrated that CA-MSCs differentially express BMP genes, promote tumor cell growth, increase cancer ‘stemness’ and chemotherapy resistance. Here we use RNA sequencing of normal omental MSCs and ovarian CA-MSCs to demonstrate CA-MSCs have global changes in gene expression. Using these expression profiles we create a unique predictive algorithm to classify CA-MSCs. Our classifier, accurately distinguishes normal omental, ovary and bone marrow MSCs from ovarian cancer CA-MSCs. Suggesting broad applicability, the model correctly classifies pancreatic and endometrial cancer CA-MSCs and distinguishes cancer associated fibroblasts (CAFs) from CA-MSCs. Using this classifier, we definitively demonstrate ovarian CA-MSCs arise from tumor mediated reprograming of local tissue MSCs. While cancer cells alone cannot induce a CA-MSC phenotype, the in vivo ovarian tumor micoenvironment (TME) can reprogram omental or ovary MSCs to protumorigenic CA-MSC (classifier score of >0.96). In vitro studies suggest that both tumor secreted factors and hypoxia are critical to induce the CA-MSC phenotype. Interestingly, while the breast cancer TME can reprogram BM MSCs into CA-MSCs, the ovarian TME cannot, demonstrating for the first time that tumor mediated CA-MSC conversion is tissue and cancer type dependent. Together these findings (1) provide a critical tool to define CA-MSCs and (2) highlight cancer cell influence on distinct normal tissues providing powerful insights into the mechanisms underlying cancer specific metastatic niche formation. Carcinoma-associated mesenchymal stem cells (CA-MSCs) are critical stromal progenitor cells within the tumor microenvironment. We previously demonstrated that CA-MSCs differentially express BMP genes, promote tumor cell growth, increase cancer ‘stemness’ and chemotherapy resistance. Here we use RNA sequencing of normal omental MSCs and ovarian CA-MSCs to demonstrate CA-MSCs have global changes in gene expression. Using these expression profiles we create a unique predictive algorithm to classify CA-MSCs. Our classifier, accurately distinguishes normal omental, ovary and bone marrow MSCs from ovarian cancer CA-MSCs. Suggesting broad applicability, the model correctly classifies pancreatic and endometrial cancer CA-MSCs and distinguishes cancer associated fibroblasts (CAFs) from CA-MSCs. Using this classifier, we definitively demonstrate ovarian CA-MSCs arise from tumor mediated reprograming of local tissue MSCs. While cancer cells alone cannot induce a CA-MSC phenotype, the in vivo ovarian tumor micoenvironment (TME) can reprogram omental or ovary MSCs to protumorigenic CA-MSC (classifier score of >0.96). In vitro studies suggest that both tumor secreted factors and hypoxia are critical to induce the CA-MSC phenotype. Interestingly, while the breast cancer TME can reprogram BM MSCs into CA-MSCs, the ovarian TME cannot, demonstrating for the first time that tumor mediated CA-MSC conversion is tissue and cancer type dependent. Together these findings (1) provide a critical tool to define CA-MSCs and (2) highlight cancer cell influence on distinct normal tissues providing powerful insights into the mechanisms underlying cancer specific metastatic niche formation.

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Calcium: Magnesium Balance, Microbiota, and Necroptosis and Inflammation

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