Evidence That Multiple Defects in Lipid Regulation Occur before Hyperglycemia during the Prodrome of Type-2 Diabetes

Background

Blood-vessel dysfunction arises before overt hyperglycemia in type-2 diabetes (T2DM). We hypothesised that a metabolomic approach might identify metabolites/pathways perturbed in this pre-hyperglycemic phase. To test this hypothesis and for specific metabolite hypothesis generation, serum metabolic profiling was performed in young women at increased, intermediate and low risk of subsequent T2DM.

Methods

Participants were stratified by glucose tolerance during a previous index pregnancy into three risk-groups: overt gestational diabetes (GDM; n = 18); those with glucose values in the upper quartile but below GDM levels (UQ group; n = 45); and controls (n = 43, below the median glucose values). Follow-up serum samples were collected at a mean 22 months postnatally. Samples were analysed in a random order using Ultra Performance Liquid Chromatography coupled to an electrospray hybrid LTQ-Orbitrap mass spectrometer. Statistical analysis included principal component (PCA) and multivariate methods.

Findings

Significant between-group differences were observed at follow-up in waist circumference (86, 95%CI (79–91) vs 80 (76–84) cm for GDM vs controls, p<0.05), adiponectin (about 33% lower in GDM group, p = 0.004), fasting glucose, post-prandial glucose and HbA_1c, but the latter 3 all remained within the ‘normal’ range. Substantial differences in metabolite profiles were apparent between the 2 ‘at-risk’ groups and controls, particularly in concentrations of phospholipids (4 metabolites with p≤0.01), acylcarnitines (3 with p≤0.02), short- and long-chain fatty acids (3 with p< = 0.03), and diglycerides (4 with p≤0.05).

Interpretation

Defects in adipocyte function from excess energy storage as relatively hypoxic visceral and hepatic fat, and impaired mitochondrial fatty acid oxidation may initiate the observed perturbations in lipid metabolism. Together with evidence from the failure of glucose-directed treatments to improve cardiovascular outcomes, these data and those of others indicate that a new, quite different definition of type-2 diabetes is required. This definition would incorporate disturbed lipid metabolism prior to hyperglycemia.     

Tissue MicroRNAs as Predictors of Outcome in Patients with Metastatic Colorectal Cancer Treated with First Line Capecitabine and Oxaliplatin with or without Bevacizumab

Purpose

We tested the hypothesis that expression of microRNAs (miRNAs) in cancer tissue can predict effectiveness of bevacizumab added to capecitabine and oxaliplatin (CAPEOX) in patients with metastatic colorectal cancer (mCRC).

Experimental Design

Patients with mCRC treated with first line CAPEOX and bevacizumab (CAPEOXBEV): screening (n = 212) and validation (n = 121) cohorts, or CAPEOX alone: control cohort (n = 127), were identified retrospectively and archival primary tumor samples were collected. Expression of 754 miRNAs was analyzed in the screening cohort using polymerase chain reaction (PCR) arrays and expression levels were related to time to disease progression (TTP) and overall survival (OS). Significant miRNAs from the screening study were analyzed in all three cohorts using custom PCR arrays. In situ hybridization (ISH) was done for selected miRNAs.

Results

In the screening study, 26 miRNAs were significantly correlated with outcome in multivariate analyses. Twenty-two miRNAs were selected for further study. Higher miR-664-3p expression and lower miR-455-5p expression were predictive of improved outcome in the CAPEOXBEV cohorts and showed a significant interaction with bevacizumab effectiveness. The effects were strongest for OS. Both miRNAs showed high expression in stromal cells. Higher expression of miR-196b-5p and miR-592 predicted improved outcome regardless of bevacizumab treatment, with similar effect estimates in all three cohorts.

Conclusions

We have identified potentially predictive miRNAs for bevacizumab effectiveness and additional miRNAs that could be related to chemotherapy effectiveness or prognosis in patients with mCRC. Our findings need further validation in large cohorts, preferably from completed randomized trials.     

Efficient Improvement of Silage Additives by Using Genetic Algorithms

The enormous variety of substances which may be added to forage in order to manipulate and improve the ensilage process presents an empirical, combinatorial optimization problem of great complexity. To investigate the utility of genetic algorithms for designing effective silage additive combinations, a series of small-scale proof of principle silage experiments were performed with fresh ryegrass. Having established that significant biochemical changes occur over an ensilage period as short as 2 days, we performed a series of experiments in which we used 50 silage additive combinations (prepared by using eight bacterial and other additives, each of which was added at six different levels, including zero [i.e., no additive]). The decrease in pH, the increase in lactate concentration, and the free amino acid concentration were measured after 2 days and used to calculate a “fitness” value that indicated the quality of the silage (compared to a control silage made without additives). This analysis also included a “cost” element to account for different total additive levels. In the initial experiment additive levels were selected randomly, but subsequently a genetic algorithm program was used to suggest new additive combinations based on the fitness values determined in the preceding experiments. The result was very efficient selection for silages in which large decreases in pH and high levels of lactate occurred along with low levels of free amino acids. During the series of five experiments, each of which comprised 50 treatments, there was a steady increase in the amount of lactate that accumulated; the best treatment combination was that used in the last experiment, which produced 4.6 times more lactate than the untreated silage. The additive combinations that were found to yield the highest fitness values in the final (fifth) experiment were assessed to determine a range of biochemical and microbiological quality parameters during full-term silage fermentation. We found that these combinations compared favorably both with uninoculated silage and with a commercial silage additive. The evolutionary computing methods described here are a convenient and efficient approach for designing silage additives.     

Real-time monitoring of the accretion of Rhizopus oligosporus biomass during the solid-substrate tempe fermentation

We describe a novel method for the real-time estimation of the accretion of blomass during the solid-substrate tempe fermentation of soy beans, lupins and quinoa by Rhizopus oligosporus Salto. The method is based on measurements of the dielectric permittivity at radio-frequencies, using a four-terminal instrument (the Bugmeter). In all cases, excellent Ilnearity is observed during the growth phase between the dielectric permittivity and the hyphal length as determined microscopically.     

Energy landscape of the intact and destabilized FMO antennas from C. tepidum and the L122Q mutant: Low temperature spectroscopy and modeling study

We discuss the excitonic energy landscape of the typically studied wild-type (WT) Fenna-Matthews-Olson (FMO) antenna protein from the green sulfur bacterium Chlorobaculum tepidum (referred to as WT_M), which is described as a mixture of intact (WT_I) and destabilized (WT_D) complexes. Optical spectra of WT_M and the L122Q mutant (where leucine 122 near BChl 8 is replaced with glutamine) are compared to WT_I FMO. We show that WT_M and L122Q samples are mixtures of two subpopulations of proteins, most likely induced by protein conformational changes during the isolation/purification procedures. Absorption, emission, and HB spectra of WT_M and L122Q mutant are very similar, in which the low-energy trap (revealed by the nonresonant HB spectra) shifts to higher energies as a function of fluence, supporting a mixture model. No fluence-dependent shift is observed in the WT_I FMO trimers. New Hamiltonians are provided for WT_I and WT_D proteins. Resonant HB spectra show that the internal energy relaxation times in the WT_M and L122Q mutant are similar, and depend on excitation frequency. Fast average relaxation times (excited state lifetimes) are observed for burning into the main broad absorption band near 805 nm. Burning at longer wavelengths reveals slower total dephasing times. No resonant bleach is observed at λ_B ≤ 803 nm, implying much faster (femtosecond) energy relaxation in this spectral range in agreement with 2D electronic spectroscopy frequency maps.     

Flow cytometry and cell sorting of heterogeneous microbial populations: the importance of single-cell analyses.

The most fundamental questions such as whether a cell is alive, in the sense of being able to divide or to form a colony, may sometimes be very hard to answer, since even axenic microbial cultures are extremely heterogeneous. Analyses that seek to correlate such things as viability, which is a property of an individual cell, with macroscopic measurements of culture variables such as ATP content, respiratory activity, and so on, must inevitably fail. It is therefore necessary to make physiological measurements on individual cells. Flow cytometry is such a technique, which allows one to analyze cells rapidly and individually and permits the quantitative analysis of microbial heterogeneity. It therefore offers many advantages over conventional measurements for both routine and more exploratory analyses of microbial properties. While the technique has been widely applied to the study of mammalian cells, is use in microbiology has until recently been much more limited, largely because of the smaller size of microbes and the consequently smaller optical signals obtainable from them. Since these technical barriers no longer hold, flow cytometry with appropriate stains has been used for the rapid discrimination and identification of microbial cells, for the rapid assessment of viability and of the heterogeneous distributions of a wealth of other more detailed physiological properties, for the analysis of antimicrobial drug-cell interactions, and for the isolation of high-yielding strains of biotechnological interest. Flow cytometric analyses provide an abundance of multivariate data, and special methods have been devised to exploit these. Ongoing advances mean that modern flow cytometers may now be used by nonspecialists to effect a renaissance in our understanding of microbial heterogeneity.     

Immobilisation ofCandida cylindracea lipase on a new range of ceramic supports

Summary Lipase fromC. cylindracea was covalently immobilised to a number of surface-treated ceramic supports (3–10 mg. (g dry wt support)^–1). At room temperature, the immobilised lipase could convert R,S-citronellol and butyric acid to citronellyl butyrate at rates in the range 7–51 mol. (mg lipase.min)^–1. The lipase maintained 90–100% of its initial activity over a period of 150 days.     

Sequence dependent effects in methylphosphonate deoxyribonucleotide double and triple helical complexes.

Deoxyribooligonucleotides containing 19 repeating bases of A, T or U were prepared with normal phosphodiester (dA19, dT19, dU19) or methylphosphonate (dA*19, dT*19, dU*19) linkages. Complexes of these strands have been investigated at 1:1 and 1:2 molar ratios (purine:pyrimidine) by thermal melting and gel electrophoresis. There are dramatic sequence dependent differences in stabilities of complexes containing methylphosphonate strands. Duplexes of dA*19 with dT19 or dU19 have sharp melting curves, increased Tm values, and slopes of Tm versus log (sodium ion activity) plots reduced by about one half relative to their unmodified 'parent' duplexes. Duplexes of dA19 with either dT*19 or dU*19, however, have broader melting curves, reduced Tm values at most salt concentrations and slopes of less than one tenth the values for the unmodified duplexes. Duplex stabilization due to reduced phosphate charge repulsion is offset in the pyrimidine methylphosphonate complexes by steric and other substituent effects. Triple helical complexes with dA19 + 2dT19 and dA19 + 2dU19, which can be detected by biphasic melting curves and gel electrophoresis, are stable at increased Na+ or Mg+2 concentrations. Surprisingly, however, no triple helix forms, even at very high salt concentrations, when any normal strand(s) is replaced by a methylphosphonate strand. Since triple helical complexes with methylphosphonates have been reported for shorter oligomers, inhibition with larger oligomers may vary due to their length and extent of substitution.