Quantification of pelvic organ prolapse in mice: vaginal protease activity precedes increased MOPQ scores in fibulin 5 knockout mice

Two mouse models of pelvic organ prolapse have been generated recently, both of which have null mutations in genes involved in elastic fiber synthesis and assembly (fibulin 5 and lysyl oxidase-like 1). Interestingly, although these mice exhibit elastinopathies early in life, pelvic organ prolapse does not develop until later in life. In this investigation we developed and validated a tool to quantify the severity of pelvic organ prolapse in mice, and we used this tool prospectively to study the role of fibulin 5, aging, and vaginal proteases in the development of pelvic organ prolapse. The results indicate that >90% of Fbln5(-/-) mice develop prolapse by 6 mo of age, even in the absence of vaginal delivery, and that increased vaginal protease activity precedes the development of prolapse.     

Involvement of nitric oxide synthase in the mechanism of histamine-induced inhibition of Leydig cell steroidogenesis via histamine receptor subtypes in Sprague-Dawley rats

This study was conducted to shed light on the so far unexplored intracellular mechanisms underlying negative modulation of Leydig cell steroidogenesis by histamine (HA). Using the MA-10 cell line and highly purified rat Leydig cells as experimental models, we examined the effect of the amine on biochemical steps known to be modulated by HA or involved in LH/hCG action. In agreement with previous findings, HA at 10 microM showed a potent inhibitory effect on hCG-stimulated steroid synthesis, regardless of the gonadotropin concentration used. Moreover, HA decreased not only LH/hCG-induced cAMP production but also steroid synthesis stimulated by the permeable cAMP analog dibutyryl cAMP (db-cAMP). Considering the post-cAMP sites of HA action, it is shown herein that HA markedly inhibited db-cAMP-stimulated steroidogenic acute regulatory (STAR) protein expression, as well as steps catalyzed by P450-dependent enzymes, mainly the conversion of cholesterol to pregnenolone by cholesterol side-chain cleavage enzyme (CYP11A). The antisteroidogenic action of HA was blocked by addition of the phospholipase C (PLC) inhibitor U73122, and HA significantly augmented inositol triphosphate (IP3) production, suggesting a major role for the PLC/IP3 pathway in HA-induced inhibition of Leydig cell function. Finally, HA increased nitric oxide synthase (NOS) activity, and the NOS inhibitor NG-nitro-L-arginine methyl ester (L-NAME) markedly attenuated the effect of the amine on steroid synthesis. On the basis of our findings, HA antagonizes the gonadotropin action in Leydig cells at steps before and after cAMP formation. NOS activation is the main intracellular mechanism by which HA exerts its antisteroidogenic effects.     

The peroxidase and peroxynitrite reductase activity of human erythrocyte peroxiredoxin 2

Peroxiredoxin 2 (Prx2) is a 2-Cys peroxiredoxin extremely abundant in the erythrocyte. The peroxidase activity was studied in a steady-state approach yielding an apparent K_M of 2.4 μM for human thioredoxin and a very low K_M for H₂O₂ (?0.7 μM). Rate constants for the reaction of peroxidatic cysteine with the peroxide substrate, H₂O₂ or peroxynitrite, were determined by competition kinetics, k₂ = 1.0 × 10⁸ and 1.4 × 10⁷ M⁻¹ s⁻¹ at 25 °C and pH 7.4, respectively. Excess of both oxidants inactivated the enzyme by overoxidation and also tyrosine nitration and dityrosine were observed with peroxynitrite treatment. Prx2 associates into decamers (5 homodimers) and we estimated a dissociation constant K_d < 10⁻²³ M⁴ which confirms the enzyme exists as a decamer in vivo. Our kinetic results indicate Prx2 is a key antioxidant enzyme for the erythrocyte and reveal red blood cells as active oxidant scrubbers in the bloodstream.     

Melanocortin 1 receptor mutations impact differentially on signalling to the cAMP and the ERK mitogen-activated protein kinase pathways

Melanocortin 1 receptor (MC1R), a Gs protein-coupled receptor expressed in melanocytes, is a major determinant of skin pigmentation, phototype and cancer risk. MC1R activates cAMP and mitogen-activated protein kinase ERK1/ERK2 signalling. When expressed in rat pheochromocytoma cell line cells, the R151C, R160W and D294H MC1R variants associated with melanoma and impaired cAMP signalling mediated ERK activation and ERK-dependent, agonist-induced neurite outgrowth comparable with wild-type. Dose-response curves for ERK activation and cAMP production indicated higher sensitivity of the ERK response. Thus, the melanoma-associated MC1R mutations impact differently on cAMP and ERK signalling, suggesting that cAMP is not responsible for functional coupling of MC1R to the ERK cascade.     

Alterations of the Plasma Membrane Caused by Murine Polyomavirus Proliferation: An Electrorotation Study

In this report we investigate the alterations of the dielectric properties of the plasma membrane caused by the infection of cultured fibroblasts with murine polyomavirus. The approach consists in a well-established dielectric spectroscopy technique, electrorotation, which has been successfully used in our laboratory to study the alterations of the plasma membrane of cells exposed to various forms of stress. The response to viral proliferation was time dependent as shown by evaluation of the de novo synthesis of viral DNA. This response was paralleled by gradual damage of the membrane evidenced by alteration of the dielectric parameters, specific capacitance and conductance. The electrorotation results show a reduced effect on the dielectric properties of the membrane when infection is carried out in the presence of a natural oil (MEX). In this case a drastic reduction in viral DNA synthesis was also monitored, thus indicating an antiviral action of this product.     

Widespread Distribution of Poribacteria in Demospongiae

Poribacteria were found in nine sponge species belonging to six orders of Porifera from three oceans. Phylogenetic analysis revealed four distinct poribacterial clades, which contained organisms obtained from several different geographic regions, indicating that the distribution of poribacteria is cosmopolitan. Members of divergent poribacterial clades were also found in the same sponge species in three different sponge genera.Recently, a novel bacterial phylum, termed “Poribacteria,” was discovered, and members of this phylum have been found exclusively in sponges (2). Phylogenetic analyses of 16S rRNA genes indicated that poribacteria are evolutionarily deeply branching organisms and related to a superphylum composed of Planctomycetes, Verrucomicrobia, and Chlamydia (11). Poribacterial 16S rRNA genes contain 13 of 15 planctomycete signature nucleotides, but a level of sequence divergence of more than 25% compared to any other bacterial phylum, including the Planctomycetes, justifies the status of this taxon as an independent phylum. A consistent treeing pattern is difficult to resolve in comparative phylogenetic sequence analyses, making the poribacteria an unusual line of phylogenetic descent. In addition to their divergent status as a separate phylum on the basis of the 16S rRNA sequence, poribacteria are also divergent because they may have a compartmentalized cell structure, a cell plan they share only with members of the phyla Planctomycetes and Verrucomicrobia (2). They are also of interest for understanding the potential contribution of obligate sponge-associated bacteria to the sponges harboring them and as an example of a yet-to-be-cultured group of bacteria associated with invertebrate tissue apparently exclusively but for unknown reasons. This study aimed to further explore the presence and diversity of poribacteria in different marine demosponge genera using samples from around the world.The Mediterranean sponges were collected by scuba divers offshore at Banyuls sur Mer, France (42°29′N, 03°08′E). The Caribbean sponges were collected offshore at Little San Salvador Island, Bahamas (24°32′N, 75°55′W). The eastern Pacific sponge Aplysina fistularis was collected offshore at San Diego, CA (32°51′N, 117°15′W). The western Pacific sponge Theonella swinhoei was collected offshore at Palau (07°23′N, 134°38′E). All non-Great Barrier Reef (non-GBR) sponges were collected between May and July 2000, and once individual sponge specimens were brought to the surface, they were frozen in liquid nitrogen on board ship and stored at −80°C until microbiological processing (9). The GBR marine sponges were collected off Heron Island Research Station (23°27′S, 151°5′E) in April 2002 (5). Pseudoceratina clavata was collected by scuba divers at a depth of 14 m, and Rhabdastrella globostellata was collected at a depth of ca. 0.5 m after a reef walk consisting of a few hundred meters. The samples were immediately placed in plastic bags and brought to Heron Island Research Station, where they were stored at −80°C until processing. Sponge DNA was extracted as described previously (2, 5).Total sponge-derived genomic DNA was screened by PCR for the presence of poribacteria using a 16S rRNA gene primer set. Poribacterial 16S rRNA genes were amplified by employing a pair of Poribacteria-specific primers, POR389f (5′-ACG ATG CGA CGC CGC GTG-3′) and POR1130r (5′-GGC TCG TCA CCA GCG GTC-3′) (2). The poribacterial PCR products that were ca. 740 bp long derived from one sponge individual were cloned into the pGEM-T Easy vector (Promega, Madison, WI). Clone inserts were digested with restriction endonucleases MspI and HaeIII (New England Biolabs, Inc., United States), characterized to obtain restriction profiles and unique profiles, and sequenced. The compiled partial 16S rRNA gene sequences were then analyzed using BLASTN to select the most closely related poribacterial reference sequences.The sequences exhibiting levels of similarity of less than 97% were used for further analysis. Poribacterial 16S rRNA gene sequences were aligned using the ARB software package (7). The resulting alignment was imported into PAUP (10) and analyzed by using distance, maximum parsimony, and maximum likelihood algorithms together with bootstrap resamplings (3,000, 3,000, and 200 resamplings, respectively), and the resulting bootstrap values were applied to nodes on the ARB neighbor-joining tree. Signature sequences were detected using the ARB software package. A signature sequence is defined here as a short sequence that is present in a group of poribacterial sequences in a phylogenetic clade but is not found in any other clade in the poribacterial tree.Analysis of the 16S rRNA gene clone library sequences generated from sponge tissues revealed the presence of poribacteria in sponge individuals belonging to the orders Verongida, Astrophorida, Dictyoceratida, Haplosclerida, Lithistida, and Homosclerophorida, while poribacteria could not be detected in sponges belonging to the orders Hadromerida and Agelasida. In the order Halichondrida, poribacteria were detected in Xestospongia muta but not in Haliclona sp. Altogether, nine sponge species were added to the list of Poribacteria-containing sponges (Table ​(Table1).1). Three distinct clades were observed that were clearly supported by bootstrap values greater than 75 with every tree-building algorithm applied (Fig. ​(Fig.1),1), and one clade (clade I) was supported by bootstrap values of 64, 98, and 71 in distance, maximum parsimony, and maximum likelihood trees, respectively. Similarity calculations using approximately 740-bp amplified poribacterial 16S rRNA gene fragments and other poribacterial sequences from the NCBI database showed that the dissimilarity between clades was consistent with their separation in phylogenetic trees. For example, the levels of dissimilarity between members of clade I and clade II were 3 to 8%, while the levels of dissimilarity between members of clades I and III and between members of clades I and IV were 10 to 14% and 11 to 15%, respectively.Open in a separate windowFIG. 1.Neighbor-joining phylogenetic tree for poribacterial clones based on Poribacteria-specific PCR products (740 bp) of the 16S rRNA gene, showing relationships of poribacterial clones from different global regions. The poribacterial clones on the right are additional clones belonging to the same clades as strains in the tree at the same level. Bootstrap confidence values of >75% for distance, maximum parsimony, and maximum likelihood algorithm analyses are indicated by filled circles at nodes, and open circles indicate unsupported nodes. Prefixes for clones: A, Aplysina aerophoba; C, Aplysina cavernicola; F, Aplysina fistularis; L, Aplysina lacunosa; S, Ircinia sp.; P, Plakortis sp.; PC, Pseudoceratina clavata; RG, Rhabdastrella globostellata; T, Theonella swinhoei; X, Xestospongia muta. Scale bar = 0.1 nucleotide substitution per site.

TABLE 1.

Distribution of poribacteria in different demosponge orders

MicroRNA-125a is over-expressed in insulin target tissues in a spontaneous rat model of Type 2 Diabetes

Background

The methods used for sample selection and processing can have a strong influence on the expression values obtained through microarray profiling. Laser capture microdissection (LCM) provides higher specificity in the selection of target cells compared to traditional bulk tissue selection methods, but at an increased processing cost. The benefit gained from the higher tissue specificity realized through LCM sampling is evaluated in this study through a comparison of microarray expression profiles obtained from same-samples using bulk and LCM processing.

Methods

Expression data from ten lung adenocarcinoma samples and six adjacent normal samples were acquired using LCM and bulk sampling methods. Expression values were evaluated for correlation between sample processing methods, as well as for bias introduced by the additional linear amplification required for LCM sample profiling.

Results

The direct comparison of expression values obtained from the bulk and LCM sampled datasets reveals a large number of probesets with significantly varied expression. Many of these variations were shown to be related to bias arising from the process of linear amplification, which is required for LCM sample preparation. A comparison of differentially expressed genes (cancer vs. normal) selected in the bulk and LCM datasets also showed substantial differences. There were more than twice as many down-regulated probesets identified in the LCM data than identified in the bulk data. Controlling for the previously identified amplification bias did not have a substantial impact on the differences identified in the differentially expressed probesets found in the bulk and LCM samples.

Conclusion

LCM-coupled microarray expression profiling was shown to uniquely identify a large number of differentially expressed probesets not otherwise found using bulk tissue sampling. The information gain realized from the LCM sampling was limited to differential analysis, as the absolute expression values obtained for some probesets using this study's protocol were biased during the second round of amplification. Consequently, LCM may enable investigators to obtain additional information in microarray studies not easily found using bulk tissue samples, but it is of critical importance that potential amplification biases are controlled for.     

The Role of Obesity‐associated Loci Identified in Genome‐wide Association Studies in the Determination of Pediatric BMI

The prevalence of obesity in children and adults in the United States has increased dramatically over the past decade. Besides environmental factors, genetic factors are known to play an important role in the pathogenesis of obesity. A number of genetic determinants of adult BMI have already been established through genome‐wide association (GWA) studies. In this study, we examined 25 single‐nucleotide polymorphisms (SNPs) corresponding to 13 previously reported genomic loci in 6,078 children with measures of BMI. Fifteen of these SNPs yielded at least nominally significant association to BMI, representing nine different loci including INSIG2, FTO, MC4R, TMEM18, GNPDA2, NEGR1, BDNF, KCTD15, and 1q25. Other loci revealed no evidence for association, namely at MTCH2, SH2B1, 12q13, and 3q27. For the 15 associated variants, the genotype score explained 1.12% of the total variation for BMI z‐score. We conclude that among 13 loci that have been reported to associate with adult BMI, at least nine also contribute to the determination of BMI in childhood as demonstrated by their associations in our pediatric cohort.