Defining the optimal animal model for translational research using gene set enrichment analysis

The mouse is the main model organism used to study the functions of human genes because most biological processes in the mouse are highly conserved in humans. Recent reports that compared identical transcriptomic datasets of human inflammatory diseases with datasets from mouse models using traditional gene‐to‐gene comparison techniques resulted in contradictory conclusions regarding the relevance of animal models for translational research. To reduce susceptibility to biased interpretation, all genes of interest for the biological question under investigation should be considered. Thus, standardized approaches for systematic data analysis are needed. We analyzed the same datasets using gene set enrichment analysis focusing on pathways assigned to inflammatory processes in either humans or mice. The analyses revealed a moderate overlap between all human and mouse datasets, with average positive and negative predictive values of 48 and 57% significant correlations. Subgroups of the septic mouse models (i.e., Staphylococcus aureus injection) correlated very well with most human studies. These findings support the applicability of targeted strategies to identify the optimal animal model and protocol to improve the success of translational research

Developmental Effects of Prenatal Exposure to Bisphenol A on the Uterus of Rat Offspring

Exposure to estrogenic compounds during critical periods of fetal development could result in adverse effects on the development of reproductive organs that are not apparent until later in life. Bisphenol A (BPA), which is employed in the manufacture of a wide range of consumer products, is a prime candidate for endocrine disruption. We examined BPA to address the question of whether in utero exposure affects the uterus of the offspring and studied the expression and distribution of the estrogen receptors alpha (ERα) and beta (ERβ), because estrogens influence the development, growth, and function of the uterus through both receptors. Gravid Sprague-Dawley dams were administered by gavage either 0.1 or 50 mg/kg per day BPA or 0.2 mg/kg per day 17α-ethinyl estradiol (EE2) as reference dose on gestation days 6 through 21. Female offspring were killed in estrus. Uterine morphologic changes as well as ERα and ERβ distribution and expression were measured by immunohistochemistry and Western blot analysis. Striking morphologic changes were observed in the uterine epithelium of postpubertal offspring during estrus of the in utero BPA-treated animals (the thickness of the total epithelium was significantly reduced). ERα expression was increased in the 50-mg BPA and EE2-treated group. In contrast, we observed significantly decreased ERβ expression in all BPA- and EE2-treated animals when compared with the control. In summary, these results clearly indicate that in utero exposure of rats to BPA promotes uterine disruption in offspring. We hypothesize that the uterine disruption could possibly be provoked by a dysregulation of Erα and ERβ

CYP2C9 genotype vs. metabolic phenotype for individual drug dosing - a correlation analysis using flurbiprofen as probe drug

Currently, genotyping of patients for polymorphic enzymes responsible for metabolic elimination is considered a possibility to adjust drug dose levels. For a patient to profit from this procedure, the interindividual differences in drug metabolism within one genotype should be smaller than those between different genotypes. We studied a large cohort of healthy young adults (283 subjects), correlating their CYP2C9 genotype to a simple phenotyping metric, using flurbiprofen as probe drug. Genotyping was conducted for CYP2C9*1, *2, *3. The urinary metabolic ratio MR (concentration of CYP2C9-dependent metabolite divided by concentration of flurbiprofen) determined two hours after flurbiprofen (8.75 mg) administration served as phenotyping metric. Linear statistical models correlating genotype and phenotype provided highly significant allele-specific MR estimates of 0.596 for the wild type allele CYP2C9*1, 0.405 for CYP2C9*2 (68 % of wild type), and 0.113 for CYP2C9*3 (19 % of wild type). If these estimates were used for flurbiprofen dose adjustment, taking 100 % for genotype *1/*1, an average reduction to 84 %, 60 %, 68 %, 43 %, and 19% would result for genotype *1/*2, *1/*3, *2/*2, *2/*3, and *3/*3, respectively. Due to the large individual variation within genotypes with coefficients of variation >= 20% and supposing the normal distribution, one in three individuals would be out of the average optimum dose by more than 20 %, one in 20 would be 40% off. Whether this problem also applies to other CYPs and other drugs has to be investigated case by case. Our data for the given example, however, puts the benefit of individual drug dosing to question, if it is exclusively based on genotype

Repeatability analysis improves the reliability of behavioral data.

Reliability of data has become a major concern in the course of the reproducibility crisis. Especially when studying animal behavior, confounding factors such as novelty of the test apparatus can lead to a wide variability of data which may mask treatment effects and consequently lead to misinterpretation. Habituation to the test situation is a common practice to circumvent novelty induced increases in variance and to improve the reliability of the respective measurements. However, there is a lack of published empirical knowledge regarding reasonable habituation procedures and a method validation seems to be overdue. This study aimed at setting up a simple strategy to increase reliability of behavioral data measured in a familiar test apparatus. Therefore, exemplary data from mice tested in an Open Field (OF) arena were used to elucidate the potential of habituation and how reliability of measures can be confirmed by means of a repeatability analysis using the software R. On seven consecutive days, male C57BL/6J, BALB/cJ and 129S1/SvImJ mice were tested in an OF arena once daily and individual mouse behavior was recorded. A repeatability analysis was conducted with regard to repeated trials of habituation. Our data analysis revealed that monitoring animal behavior during habituation is important to determine when individual differences of the measurements are stable. Repeatability values from distance travelled and average activity increased over the habituation period, revealing that around 60% of the variance of the data can be explained by individual differences between mice. The first day of habituation was significantly different from the following 6 days. A three-day habituation period appeared to be sufficient in this study. Overall, these results emphasize the importance of habituation and in depth analysis of habituation data to define the correct starting point of the experiment for improving the reliability and reproducibility of experimental data

Distribution of Constitutive Nitric Oxide Synthase Immunoreactivity and NADPH-Diaphorase Activity in Murine Telogen and Anagen Skin

The freely diffusible radical nitric oxide is generated by nitric oxide synthase, and is a pleiotropic, bioregulatory molecule that regulates, e.g., the vascular tone, functions as a major neurotransmitter, and is involved in macrophage-mediated cytotoxicity and platelet aggregation. Constitutive nitric oxide synthase exhibits NADPH-diaphorase activity that can be demonstrated histochemically. To study whether this enzyme is present in mammalian skin during distinct phases of the murine hair cycle, we have examined cryosections of C 57 BL-6 mouse skin in telogen and depilation-induced anagen VI. Histochemical analysis of NADPH-diaphorase activity was complemented by immunohistology, using two specific rabbit antisera against constitutive neuronal nitric oxide synthase. Epidermis and the outer root sheath showed both immunoreactivity for the enzyme and NADPH-diaphorase activity, whereas dermal papilla and sebaceous glands displayed only strong NADPH-diaphorase activity, suggesting that this enzyme histochemical test measures additional enzymes besides nitric oxide synthase. Intrinsic nitric oxide synthase immunoreactivity was also detected by immunoblot in mouse skin homogenates, staining proteins of an apparent 160-kDa molecular weight. Compared to telogen skin, these immunoreactive proteins were quantitatively increased in anagen VI skin. Thus, our study suggests that defined epithelial compartments of normal murine skin are capable of synthesizing nitric oxide and that the molecule may be involved in skin physiology, growth, and remodeling

A Single-Nucleotide Polymorphism in a Half-Binding Site Creates p53 and Estrogen Receptor Control of Vascular Endothelial Growth Factor Receptor 1▿ †

Interactions between master regulatory pathways provide higher-order controls for cellular regulation. Recently, we reported a C→T single-nucleotide polymorphism (SNP) in the vascular endothelial growth factor receptor 1 (VEGFR-1/Flt1) promoter that merges human VEGF and p53 pathways. This finding suggested a new layer in environmental controls of a pathway relevant to several diseases. The Flt1-T SNP created what appeared to be a half-site p53 target response element (RE). The absence of information about p53 gene responsiveness mediated by half-site REs led us to address how it influences Flt1 expression. We now identify a second regulatory sequence comprising a partial RE for estrogen receptors (ERs) upstream of the p53 binding site. Surprisingly, this provides for synergistic stimulation of transcription specifically at the Flt1-T allele through the combined action of ligand-bound ER and stress-induced p53. In addition to demonstrating direct control of Flt1 expression by ER and p53 proteins acting as sequence-specific transcription factors at half-site REs, we establish a new interaction between three master regulatory pathways, p53, ER, and VEGF. The mechanism of joint regulation through half-sites is likely relevant to transcriptional control of other targets and expands the number of genes that may be directly controlled in master regulatory networks