Synthesis and structure–activity relationships of 2-aryl-4-oxazolylmethoxy benzylglycines and 2-aryl-4-thiazolylmethoxy benzylglycines as novel,potent PPARα selective activators- PPARα and PPARγ selectivity modulation

The synthesis and follow-up SAR studies of our development candidate 1 by incorporating 2-aryl-4-oxazolylmethoxy and 2-aryl-4-thiazolylmethoxy moieties into the oxybenzylglycine framework of the PPARα/γ dual agonist muraglitazar is described. SAR studies indicate that different substituents on the aryloxazole/thiazole moieties as well as the choice of carbamate substituent on the glycine moiety can significantly modulate the selectivity of PPARα versus PPARγ. Potent, highly selective PPARα activators 2a and 2l, as well as PPARα activators with significant PPARγ activity, such as 2s, were identified. The in vivo pharmacology of these compounds in preclinical animal models as well as their ADME profiles are discussed.     

Discovery of tetrahydroisoquinoline (THIQ) derivatives as potent and orally bioavailable LFA-1/ICAM-1 antagonists

This letter describes the discovery of a novel series of tetrahydroisoquinoline (THIQ)-derived small molecules that potently inhibit both human T-cell migration and super-antigen induced T-cell activation through disruption of the binding of integrin LFA-1 to its receptor, ICAM-1. In addition to excellent in vitro potency, 6q shows good pharmacokinetic properties and its ethyl ester (6t) demonstrates good oral bioavailability in both mouse and rat. Either intravenous administration of 6q or oral administration of its ethyl ester (6t) produced a significant reduction of neutrophil migration in a thioglycollate-induced murine peritonitis model.     

Diversity and temporal stability of bacterial communities in a model passerine bird, the zebra finch

The composition and dynamics of the gastrointestinal bacterial communities in birds is determined by both host-specific and environmental exposure factors yet these are poorly understood. We selected the zebra finch, Taeniopygia guttata, as the host species to examine the diversity and temporal stability of the faecal microflora in a bird, owing to its importance as a model organism in avian ecology, neuroscience and evolution studies. The stability of the gut bacterial community of individual male and female zebra finches was assessed through repeat faecal sampling via culture and temperature gradient gel electrophoresis and partial sequencing of PCR-amplified eubacterial 16S rRNA gene products. Nineteen bacterial genera were detected across all samples (n = 99), with each bird carrying on average six operational taxonomic units. Using a novel statistical approach, we showed that bacterial assemblages and community richness varied between individual birds but remained stable over time within individuals. Neither the composition nor richness of bacterial communities differed significantly between the sexes. Our results show that zebra finches housed together under controlled conditions show consistent variation between individuals in their gut microflora that is not attributable to differences in host exposure to environmental microbial sources. Future studies could usefully explore the origin of this individual-specific variation and its consequences for host fitness and sexual selection.     

Multi-element fingerprinting and high throughput sequencing identify multiple elements that affect fungal communities in Quercus macrocarpa foliage

Diverse fungal mutualists, pathogens and saprobes colonize plant leaves. These fungi face a complex environment, in which stochastic dispersal interplays with abiotic and biotic filters. However, identification of the specific factors that drive the community assembly seems unattainable. We mined two broad data sets and identified chemical elements, to which dominant molecular operational taxonomic units (OTUs) in the foliage of a native tree respond most extremely. While many associations could be identified, potential complicating issues emerged. Those were related to unevenly distributed OTU frequency data, a large number of potentially explanatory variables and the disproportionate effects of outlier observations.Key words: community assembly, environmental filter, fungi, heavy metal enrichment, nutrient enrichment, oak, Quercus macrocarpaHyperdiverse fungal communities inhabit the foliage of most plants^1,2 and these fungal communities have been reported for virtually every plant that has been examined.³ Baas-Becking hypothesis states that environment selects microbial communities from the abundant and possibly globally distributed propagule pools.⁴ Although the foliage-associated communities—like other microbial communities—are suspected to be sensitive to environmental drivers, determination of the mechanisms that control the assembly of these foliar communities has remained difficult and elusive. Some of the proposed mechanisms include distance limitations to propagule dispersal,^5–7 volume limitations to propagule loads,⁷ or limitations set by the environmental conditions either on the scale of the site of fungal colonization⁸ or more broadly on a landscape level.^6,9 The forces that may control the fungal community assembly are overlaid by additional biotic controls that include compatibilities between the fungi and host species^10,11 or genotypes^6,12 and the competitive or facilitative interactions among the component fungal genotypes.^6,10–13 Although a variety of potential controls for the foliage-associated fungal communities have been speculated, very little consensus exists on the relative importance of the different drivers. For example, while macronutrient and heavy metal enrichment may have an influence on the composition fungal communities¹⁴ and populations,¹⁵ relative importance of various chemical elements in the foliage remains yet to be investigated.To evaluate the use of multi-element fingerprinting data produced by Inductively Coupled Plasma Mass Spectrometry (ICP-MS) in combination with high throughput 454-pyrosequencing for determining influential chemical elements in structuring of the leaf-associated fungal communities, we mined a recent dataset¹⁶ that explored the effects of urbanization on the diversity and composition of the fungal communities associated with a native tree Quercus macrocarpa. From a total list of more than 700 non-singleton fungal OTUs, we selected fifty with highest overall frequency to provide an observationrich dataset for elemental effect assessment; these OTUs accounted for 84.5% of all sequences. Even so, many of these OTUs had a number of zero frequencies (Fig. 1), highlighting one of the difficulties in the use of environmental sequencing data. We omitted one OTU (OTU630 with a likely affinity to Trimmatostroma cordae [Mycosphaerellaceae]) that was strongly affected by the original land use design (urbanization; Wilcoxon rank sum test with a Bonferroni adjustment) and therefore unlikely to be representative for the present analyses of elemental drivers. This OTU was replaced with one with the next highest frequency. The frequencies of these 50 OTUs were investigated in the context of concentrations for 29 elements after the omission of five (Ag, Au, C, δ¹³C, δ¹⁵N) in the final analyses because of their strong association with the land use or the difficulty of finding a biological relevance. Of the remaining elements three (Fe, Cr and Ni) had pairwise correlations exceeding 0.98 between the three pairings; others showed no similar high correlations. To allow comparable evaluation across the broad array of elements, all concentrations were standardized to have a mean equal to zero and a standard deviation equal to one.Open in a separate windowFigure 1Rank-ordered distribution of observed frequencies for those OTU s whose frequency had an extreme slope when associated with the concentrations of one or more chemical elements in the mixed effects model. The asterisk denotes one extreme frequency for OTU 313 with a value 0.8636. Numbers in parentheses indicate the number of observations with a frequency equal to zero. The OTU s were assigned to approximate taxa using BLAST:²⁰ 425: Alternaria alternata (Pleosporaceae); 46: Phoma glomerata (Pleosporaceae); 686: Aureobasidium pullulans (Dothioraceae); 520: Davidiella tassiana (Davidiellaceae); 567: Cladosporioum tenuissimum (Davidiellaceae); 313 Oidium heveae (mitosporic Erysiphaceae); 586: Erysiphe hypogena (Erysiphaceae); 671: Mycosphaerella microsora (Mycosphaerellaceae); 555: Pestalotiopsis sp. (Amphisphaeriaceae); 607: Pleiochaeta setosa (incertae sedis).To rank elements according to their magnitude of association with the abundance of each OTU, a total of 1,450 models (50 OTUs times 29 elements) relating element concentration to OTU abundance were fit to the data. For each model, OTU frequency was the dependent variable, element concentration and time (a factor with three levels) were fixed effects, and—to account for the spatial arrangement of the experimental units—random effects associated with tree nested within site were included in the error structure. Time by element interactions were also investigated and tested using a likelihood ratio test. These mixed effect models were fit using R and the package lme4 (www.rproject.org).Statistical “tests of significance” that produce p-values can be sensitive to assumptions or outliers. Because of this and the fact that our analyses evaluated a total of 1,450 models, p-values themselves were not considered a reliable measure of importance when associating elements with OTU frequency. Instead, we emphasized metrics that highlight extraordinary findings rather than rely on tests of statistical significance. This approach facilitates finding few elements that have the strongest effect on OTU frequency. Note that the use of standardized element concentrations (above) provided slope coefficients that are comparable across all models. “Extreme slopes”, i.e., models where the OTU response to element concentration was strongest, were identified as those with estimated slope coefficients in the lower or upper 2.5 percentile, i.e., those farther than 1.8 standard deviations from the mean across all estimated slopes (Fig. 2). Using this approach, we identified a total of 69 models with extreme slopes (Open in a separate windowFigure 2Distribution of estimated slopes (i.e., the slope for element concentration) for a model relating OTU frequency to element concentration, time and a concentration by time interaction, including a tree-nested-within-site random effect. The mean across all 1,450 OTU s is approximately zero; the two vertical lines identify upper and lower 2.5 percentiles, beyond which the slopes were considered extreme (large black symbols). The horizontal line identifies the cut off maximum leverage (0.24), above which the slopes were considered to have observations with high leverage. Models with observations with a high leverage were tested for extreme slopes by refitting without those observations. Models are ranked from bottom to top in order of increasing leverage and the element for which the high-leverage observations and extreme slopes were recorded are identified on the right y-axis.

Table 1

Slopes identified as extreme in our analyses

A liquid chromatography-tandem mass spectrometric method for quantification of curcuminoids in cell medium and mouse plasma

Curcumin and tetrahydrocurcumin (THC) have been found as potent DNMT1 inhibitors, but they suffer from low oral bioavailability and rapid metabolism in vivo. To circumvent these problems, two curcumin analogs: 1,7-bis(3,4-dimethoxyphenyl)-4,4-dimethyl-1,6-heptadiene-3,5-dione (TMC) and 1,7-bis(3,4-dimethoxyphenyl)-4-cyclohexyl-1,6-heptadiene-3,5-dione (DMCHC) have been synthesized to enhance their stability by blocking the two metabolic sites, the phenolic and C4 methylene moieties. Both compounds have shown inhibitory activity on M. SssI similar to that of curcumin and THC (Poster, M1114, AAPS, 2009). Preclinical pharmacokinetics has yet to be performed. In this paper, a simple liquid chromatography-tandem mass spectrometric method was developed for the determination of these four curcuminoids in cell medium and mouse plasma. The method showed linearity from 1 to 1000 ng/mL with the lower limit of quantification of 1 ng/mL in cell medium, and 5 ng/mL in mouse plasma for all test curcuminoids. The within-day coefficients of variation were found to be below 15% and the accuracy was in the range of 85-115%. This method was subsequently used to evaluate their stability in these matrices and a pilot pharmacokinetics of curcumin, DMCHC and TMC in mice after an intraperitoneal (i.p.) cassette dosing of 10mg/kg each. Curcuminoids degraded in two phases with terminal half lives of 186, 813, 724, and 2000 min for curcumin, THC, TMC, and DMCHC, respectively, in cell culture medium. In plasma, their respective half lives were 111, 232, 1202 and 3000 min. These data demonstrated that their stability is in the order curcumin相似文献   

MicroRNAs and cellular phenotypy

This Essay explores the notion that specialized cells have unique vulnerabilities to environmental contingencies that microRNAs help to counteract. Given the ease with which new microRNAs evolve, they may serve as ideal facilitators for the emergence of new cell types.     

Effect of the Earthworms Lumbricus terrestris and Aporrectodea caliginosa on Bacterial Diversity in Soil

Earthworms ingest large amounts of soil and have the potential to radically alter the biomass, activity, and structure of the soil microbial community. In this study, the diversity of eight bacterial groups from fresh soil, gut, and casts of the earthworms Lumbricus terrestris and Aporrectodea caliginosa were studied by single-strand conformation polymorphism (SSCP) analysis using both newly designed 16S rRNA gene-specific primer sets targeting Alphaproteobacteria, Betaproteobacteria, Gammaproteobacteria, Deltaproteobacteria, Bacteroidetes, Verrucomicrobia, Planctomycetes, and Firmicutes and a conventional universal primer set for SSCP, with RNA and DNA as templates. In parallel, the study of the relative abundance of these taxonomic groups in the same samples was performed using fluorescence in situ hybridization. Bacteroidetes, Alphaproteobacteria, and Betaproteobacteria were predominant in communities from the soil and worm cast samples. Representatives of classes Flavobacteria and Sphingobacteria (Bacteroidetes) and Pseudomonas spp. (low-abundant Gammaproteobacteria) were detected in soil and worm cast samples with conventional and taxon-targeting SSCP and through the sequence analysis of 16S rRNA clone libraries. Physiologically active unclassified Sphingomonadaceae (Alphaproteobacteria) and Alcaligenes spp. (Betaproteobacteria) also maintained their diversities during transit through the earthworm intestine and were found on taxon-targeting SSCP profiles from the soil and worm cast samples. In conclusion, our results suggest that some specific bacterial taxonomic groups maintain their diversity and even increase their relative numbers during transit through the gastrointestinal tract of earthworms.     

Label-Free Bacterial Imaging with Deep-UV-Laser-Induced Native Fluorescence

We introduce a near-real-time optical imaging method that works via the detection of the intrinsic fluorescence of life forms upon excitation by deep-UV (DUV) illumination. A DUV (<250-nm) source enables the detection of microbes in their native state on natural materials, avoiding background autofluorescence and without the need for fluorescent dyes or tags. We demonstrate that DUV-laser-induced native fluorescence can detect bacteria on opaque surfaces at spatial scales ranging from tens of centimeters to micrometers and from communities to single cells. Given exposure times of 100 μs and low excitation intensities, this technique enables rapid imaging of bacterial communities and cells without irreversible sample alteration or destruction. We also demonstrate the first noninvasive detection of bacteria on in situ-incubated environmental experimental samples from the deep ocean (Lo''ihi Seamount), showing the use of DUV native fluorescence for in situ detection in the deep biosphere and other nutrient-limited environments.Bacteria are widely recognized for living in extreme environments and as integral players in processes as varied as weathering, corrosion, environmental remediation, pathogenesis, and symbiosis (3, 4, 26). In most of these cases, surface-bound bacteria play key roles (1, 7, 19) and pose a particular challenge for researchers: the detection and imaging of life on reflective and/or fluorescent surfaces at the microbial (μm) scale (5, 12, 18). In environments ranging from the deep subsurface biosphere, dry deserts, and deep ice cores to hospitals and clean rooms, concentrations of bacteria, either as spores or active cells, can range from 10⁹ to less than 1,000 cells/gram (14, 22, 24, 25, 29, 34). Finding and quantifying these microbes when they are on surfaces usually involves epifluorescence techniques, using dyes that bind to DNA or proteins, and examining the fluorescence of those dyes under UV or visible illumination (6, 8, 9, 16, 23, 31).Current tagging methods offer a number of significant disadvantages. First, the mineral surfaces on which the microbes are found are often themselves highly fluorescent, making the microbes difficult or impossible to differentiate; second, the act of adding the fluorescent probe can alter the physical and chemical nature of the system; additionally, nonspecific binding can lead to overestimation of cell abundance (2, 18). Because of the problems associated with the fluorescence of minerals and staining to detect microbial cells, researchers typically resort to physically removing cells from surfaces and staining/counting them separately from their matrix (12). This is an inefficient process that involves both cell loss and the loss of information about the mineralogical context that may have an influence on the microbial ecology. More recently, cell staining of active cells with SYBR green 1 and a computer-assisted analysis method has demonstrated an ability to separate fluorescent cells from nonspecific binding (17). However, a label-free method to search for and quantify the distribution and abundance of bacteria on natural samples over multiple spatial scales has not been available.Label-free optical approaches using Raman scattering methods have been offered as a nondestructive imaging solution (13, 27). However, these systems utilize laser energies greater than 1 × 10⁹ joules/cm², exceeding the energies necessary for chemical damage to the cell (33), require relatively flat surfaces for optimal collection efficiency, and can suffer from background fluorescence of the target and the substrate it may reside on.In response to these challenges, we have developed an optical method that enables detection and imaging of single bacterial cells on natural and opaque surfaces and assessment of bacterial density and distribution of single cells to biofilms over spatial scales ranging from microns to centimeters. The method utilizes deep-UV (DUV) (<250-nm)-laser-induced native fluorescence of organic components intrinsic to the cell or spore while avoiding autofluorescence interference from the substrate. Here we show DUV native fluorescence as a near-real-time optical imaging method and demonstrate the first noninvasive detection of bacteria on in situ-incubated environmental experimental samples from the deep ocean (Lo''ihi Seamount) for which we correlate the bacterial biomass to distributions of the iron-oxide precipitates.