Transcriptome signatures of p,p´-DDE-induced liver damage in Mus spretus mice.

The use of DDT (1,1,1-trichloro-2,2-bis(p-chlorophenyl) ethane) in some countries, although regulated, is contributing to an increased worldwide risk of exposure to this organochlorine pesticide or its derivative p,p'-DDE [1,1-dichloro-2,2-bis(p-chlorophenyl) ethylene]. Many studies have associated p,p'-DDE exposure to type 2 diabetes, obesity and alterations of the reproductive system, but their molecular mechanisms of toxicity remain poorly understood. We have addressed this issue by using commercial microarrays based on probes for the entire Mus musculus genome to determine the hepatic transcriptional signatures of p,p'-DDE in the phylogenetically close mouse species Mus spretus. High-stringency hybridization conditions and analysis assured reliable results, which were also verified, in part, by qRT-PCR, immunoblotting and/or enzymatic activity. Our data linked 198 deregulated genes to mitochondrial dysfunction and perturbations of central signaling pathways (kinases, lipids, and retinoic acid) leading to enhanced lipogenesis and aerobic glycolysis, inflammation, cell proliferation and testosterone catabolism and excretion. Alterations of transcript levels of genes encoding enzymes involved in testosterone catabolism and excretion would explain the relationships established between p,p´-DDE exposure and reproductive disorders, obesity and diabetes. Further studies will help to fully understand the molecular basis of p,p´-DDE molecular toxicity in liver and reproductive organs, to identify effective exposure biomarkers and perhaps to design efficient p,p'-DDE exposure counteractive strategies.

Dietary Se supplementation partially restores the REDOX proteomic map of M. spretus liver exposed to p,p'-DDE.

The toxicity of p,p'-dichlorodiphenyldichloroethylene (p,p'-DDE), a contaminant and metabolite derivative of DDT [1,1,1-trichloro-2,2-bis(p-chlorophenyl)ethane] is partially mediated by reactive oxygen species. Protein cysteine-based regulatory switches and subsequent alterations of the overall hepatic metabolism are triggered by p,p'-DDE through the disruption of the cellular redox status. The consequences are reproductive impairment, metabolic disorders, diabetes, neurotoxicity and cancer. In recent years, the risk of p,p'-DDE exposure has increased worldwide, reflecting the rise of mosquito-borne diseases in tropical countries that produce and export contaminated foods. Selenium (Se) is an essential trace element in animal nutrition with antioxidant properties that protects against the toxicity of some xenobiotics. We analyzed the ability of diet Se-supplementation to prevent damages induced by p,p'-DDE in the liver of M. spretus mice, by using redox proteomics based on the determination of the redox status of protein Cys residues. Se selectively acted on specific target, restoring the redox status and functionality of some membrane proteins involved in mitochondrial functionality, protein transport, cell signaling and protein metabolism. However, the Se-enriched diet did not completely prevent the metabolic shift caused by p,p'-DDE exposure that leads to disturbed lipogenesis, hepatic steatosis and alterations in the synthesis of hormones and other cell signals.

The ß-glucosidase assay: a new diagnostic tool for necrotizing enterocolitis. Sensitivity, specificity, and predictive values.

UNLABELLED: We aimed to establish the utility of serum cytosolic ß-glycosidase (CBG) assay as a NEC diagnosis tool. CBG activity has been compared in 192 NEC-free (NEC(-)) and 13 NEC-affected (NEC(+)) neonates, with modified Bell's stages II/III, born at Reina Sofia University Hospital; additional blood hematology, microbiology, and biochemical parameters have been assayed. NEC(+) neonates have higher serum CBG activity, 26.4 ± 12.4 mU/mg; 95 % CI (18.8-33.9), than NEC(-) infants, 11.0 ± 6.6 mU/mg; 95 % CI (10.1-11.9) (p < 0.0001). The CBG cutoff value in the ROC curve, 15.6 mU/mg, discriminates NEC(+)/NEC(-) infants with 84.6 % sensitivity, 85.9 % specificity, 37.9 positive predictive value and 98.2 negative predictive value, 6.11 positive likelihood ratio and 0.18 negative likelihood ratio, 33.61 DOR, and 0.89 AUC. A combined panel [CBG + aspartate aminotransferase + C-reactive protein] shows a 0.90 AUC value in multiple linear regressions. CONCLUSIONS: The serum CBG level is a good NEC diagnosis test and a novel NEC biomarker which may become a screening tool. WHAT IS KNOWN: •NEC affects ∼2.5 % of infants at NICU, ∼90 % of them weighing <1500 g. •NEC requires a careful differential diagnosis, being lethal if not diagnosed and treated. What is new: •CBG assay will be useful to determine infants without NEC and preventing unnecessary treatment. •CBG assay could discriminate NEC better than other gut-specific sera protein biomarkers.

Global gene expression profiling using heterologous DNA microarrays to analyze alterations in the transcriptome of Mus spretus mice living in a heavily polluted environment.

Microarray platforms are a good approach for assessing biological responses to pollution as they enable the simultaneous analyses of changes in the expression of thousands of genes. As an omic and non-targeted methodology, this technique is open to unforeseen responses under particular environmental conditions. In this study, we successfully apply a commercial oligonucleotide microarray containing Mus musculus whole-genome probes to compare and assess the biological effects of living in a heavily polluted settlement, the Domingo Rubio stream (DRS), at the Huelva Estuary (SW Spain), on inhabitant free-living Mus spretus mice. Our microarray results show that mice living in DRS suffer dramatic changes in gene and protein expression compared with reference specimens. DRS mice showed alteration in the oxidative status of hepatocytes, with activation of both the innate and the acquired immune responses and the induction of chronic inflammation, accompanied by metabolic alterations that imply the accumulation of lipids in the liver (hepatic steatosis). The identified deregulated genes may be useful as biomarkers of environmental pollution.

Heterologous microarray analysis of transcriptome alterations in Mus spretus mice living in an industrial settlement.

This work demonstrates the successful application of a commercial oligonucleotide microarray containing Mus musculus whole-genome probes to assess the biological effects of an industrial settlement on inhabitant Mus spretus mice. The transcriptomes of animals in the industrial settlement contrasted with those of specimens collected from a nearby protected ecosystem. Proteins encoded by the differentially expressed genes were broadly categorized into six main functional classes. Immune-associated genes were mostly induced and related to innate and acquired immunity and inflammation. Genes sorted into the stress-response category were mainly related to oxidative-stress tolerance and biotransformation. Metabolism-associated genes were mostly repressed and related to lipid metabolic pathways; these included genes that encoded 11 of the 20 cholesterol biosynthetic pathway enzymes. Crosstalk between members of different functional categories was also revealed, including the repression of serine-protease genes and the induction of protease-inhibitor genes to control the inflammatory response. Absolute quantification of selected transcripts was performed via RT-PCR to verify the microarray results and assess interindividual variability. Microarray data were further validated by immunoblotting and by cholesterol and protein-thiol oxidation level determinations. Reported data provide a broad impression of the biological consequences of residing in an industrial area.

Differential expression of the Gstp2 gene between the aboriginal species Mus spretus and the laboratory mouse Mus musculus.

Glutathione S-transferases (GSTs) are pivotal phase-II enzymes for detoxification of xenobiotics. Pi-class GSTs play key roles in determining cancer susceptibility. The laboratory mouse Mus musculus (Mm) has two GST-Pi-encoding genes; while MmGstp1 is the counterpart of the unique human and rat Pi-class GST gene, the function of MmGstp2 remains unclear because its expression is almost undetectable in liver and its product lacks activity against typical GST/GST-Pi substrates. Mus spretus (Ms) is an aboriginal mouse species of great interest as a bio-indicator in environmental pollution studies and a reservoir of novel allelic variants and phenotypes. Using absolute real-time RT-PCR, we demonstrate significant differences in the hepatic levels of GST-Pi-encoding mRNAs between both mouse species. Particularly, we found that the Gstp2 gene of M. spretus, unlike its M. musculus counterpart, attains relatively high steady-state level of expression (∼30molecules/pg of total liver RNA in mice dwelling in a non-polluted area). To test whether the interspecies difference in Gstp2 mRNA levels is due, at least in part, to evolutionary divergence in the promoter regions, we (i) sequenced the 5'-flanking regulatory regions of the two Gstp2 genes; (ii) used bioinformatics tools to identify differences in TF binding sites (TFBSs) and cis-regulatory modules; and (iii) extended the in silico results to a cell-based functional assay. We observed high sequence divergence (2.8%) and differences in TFBSs (32.6%) between the two Gstp2 promoters. We also show that constructs harbouring promoter fragments with species-specific cis-regulatory motifs displayed differential luciferase reporter activity, suggesting that these promoter sequence variations may determine, at least in part, the strong difference in Gstp2 mRNA levels between M. musculus and M. spretus. Additionally, the comparative analysis of the coding sequences predicts that the MsGstp2 product may be an active Pi-class GST because of a Pro(12) to Arg(12) substitution. Interestingly, free-living M. spretus mice dwelling at an industrial settlement displayed significantly higher amounts of transcripts for both GST-P1 and GST-P2 than those from a non-polluted area, suggesting that. M. spretus may optimise the response to pollution by co-evolving the expression levels of the two Pi-class GST genes. Overall, our data suggest that MsGstp2 may be one of the genes contributing to the natural resistance of M. spretus, facilitating its adaptation in a wild environment. Further insights into the functional roles of mouse Pi-class GSTs should be gained from the data reported in this work.

Omic approaches in environmental issues.

Biomonitoring requires the application of batteries of different biomarkers, as environmental contaminants induce multiple responses in organisms that are not necessarily correlated. Omic technologies were proposed as an alternative to conventional biomarkers since these techniques quantitatively monitor many biological molecules in a high-throughput manner and thus provide a general appraisal of biological responses altered by exposure to contaminants. As the studies using omic technologies increase, it is becoming clear that any single omic approach may not be sufficient to characterize the complexity of ecosystems. This work aims to provide a preliminary working scheme for the use of combined transcriptomic and proteomic methodologies in environmental biomonitoring. There are difficulties in working with nonmodel organisms as bioindicators when combining several omic approaches. As a whole, our results with heterologous microarrays in M. spretus and suppressive subtractive hybridization (SSH) in P. clarkii indicated that animals sustaining a heavy pollution burden exhibited an enhanced immune response and/or cell apoptosis. The proteomic studies, although preliminary, provide a holistic insight regarding the manner by which pollution shifts protein intensity in two-dimensional gel electrophoresis (2-DE), completing the transcriptomic approach. In our study, the sediment element concentration was in agreement with the intensity of protein expression changes in C. maenas crabs. In conclusion, omics are useful technologies in addressing environmental issues and the determination of contamination threats.

Variación de la expresión proteica en función de la gravedad del síndrome de apnea-hipopnea del sueño / Variation in Protein Expression Depending on the Severity of Sleep Apnoea-Hypopnoea Syndrome

ObjetivoEstudio prospectivo con muestreo consecutivo y grupo control para determinar si la expresión proteica en pacientes con SAHS es diferente a la de un grupo control (IAH ≤5).Pacientes y métodosFueron incluidos 32 pacientes, entre 35 y 60 años, a los que se les realizó una polisomnografía. Fueron excluidos los sujetos con enfermedad aguda o crónica. La primera dimensión del estudio proteómico se realizó en tiras IPG (18cm, pH 4–7) y, la segunda, en geles SDS-PAGE por triplicado para cada grupo. Los geles se tiñeron con SYPRO-Ruby (Bio-Rad®), se obtuvieron las imágenes con un escáner láser FX-Imager, y el análisis de los spots se realizó con el software ProteomWeaver v4.0 (Bio-Rad®). Se analizaron los cambios significativos entre los geles agrupados por réplicas y por separado, considerándose un cambio significativo si la intensidad relativa en los spots fue superior o inferior en 3 veces a la del control y se observó en 2 de las 3 réplicas de cada grupo con un coeficiente de variación <20%.ResultadosLos pacientes fueron divididos en 8 sujetos por grupo (control, leve, moderado y grave). La comparación de los geles constató diferencias significativas entre el grupo control y los 3 grupos clínicos, observándose 3 spots con sobreexpresión significativa y 7 spots subexpresados respecto al grupo control.ConclusiónExisten cambios significativos en la expresión protéica entre un grupo control y pacientes en distintos estadios de enfermedad. El estudio proteómico puede identificar biomarcadores relacionados con el diagnóstico y gravedad del SAHS(AU)

ObjectiveA prospective study with a consecutive sample and a control group to determine whether protein expression in patients with sleep apnoea-hypopnoea syndrome (SAHS) is different from that of the control group (IAH ≤5).Patients and methodsA total of 32 patients aged between 35 and 60 years who had a polysomnograph performed were included. Patients with an acute or chronic were excluded. The first dimension of the proteomic study was carried out on IPG strips (18cm, pH 4–7) and the second on SDS-PAGE gels in triplicate for each group. The gels were stained with SYPRO-Ruby (Bio-Rad®), the images obtained with an FX-Imager laser scanner and the spots were analysed using ProteomWeaver v. 4.0 (Bio-Rad®) software. Significant changes between the gels were analysed by replicates and separately, being considered a significant change if the relative intensity of the spots was three times higher or lower than that of the control and if it was observed in 2 of the 3 replicates of each group, with a coefficient of variation of <20%.ResultsThe patients were divided into 8 subjects per group (control, mild, moderate and severe). The comparison of the gels showed significant differences between the control group and the 3 clinical groups, with significant over-expression being observed in 3 spots, and under-expression in 7 spots in the control group.ConclusionThere are significant changes in protein expression between a control group and patients in different stages of disease. The proteomic study can identify biomarkers associated with the diagnosis and severity of the SAHS(AU)

[Variation in protein expression depending on the severity of sleep apnoea-hypopnoea syndrome]. / Variación de la expresión proteica en función de la gravedad del síndrome de apnea-hipopnea del sueño.

OBJECTIVE: A prospective study with a consecutive sample and a control group to determine whether protein expression in patients with sleep apnoea-hypopnoea syndrome (SAHS) is different from that of the control group (IAH < or =5). PATIENTS AND METHODS: A total of 32 patients aged between 35 and 60 years who had a polysomnograph performed were included. Patients with an acute or chronic were excluded. The first dimension of the proteomic study was carried out on IPG strips (18cm, pH 4-7) and the second on SDS-PAGE gels in triplicate for each group. The gels were stained with SYPRO-Ruby (Bio-Rad((R))), the images obtained with an FX-Imager laser scanner and the spots were analysed using ProteomWeaver v. 4.0 (Bio-Rad((R))) software. Significant changes between the gels were analysed by replicates and separately, being considered a significant change if the relative intensity of the spots was three times higher or lower than that of the control and if it was observed in 2 of the 3 replicates of each group, with a coefficient of variation of <20%. RESULTS: The patients were divided into 8 subjects per group (control, mild, moderate and severe). The comparison of the gels showed significant differences between the control group and the 3 clinical groups, with significant over-expression being observed in 3 spots, and under-expression in 7 spots in the control group. CONCLUSION: There are significant changes in protein expression between a control group and patients in different stages of disease. The proteomic study can identify biomarkers associated with the diagnosis and severity of the SAHS.

Absolute transcript expression signatures of Cyp and Gst genes in Mus spretus to detect environmental contamination.

We evaluated whether quantitation of mRNA molecules of key genes is a reliable biomonitoring end-point. We examined the Mus spretus expression levels of 19 transcripts encoding different cytochrome-P450s and glutathione transferases. Mice dwelling at the Doñana Biological Reserve were compared to those from an industrial settlement (PS). Metal biomonitoring indicated that PS animals sustained a heavier pollutant burden than those from the reference site. Transcript quantitations showed the following: (i) gender-related differences in the expression of most Cyp and Gst genes; (ii) one PS female displaying much smaller/larger transcript amounts than the remaining females; (iii) the concomitant up-regulation of Cyp1a2, Cyp2a5, Cyp2e1, Cyp4a10, Gsta1, Gsta2, Gstm1, and Gstm2 mRNAs in liver of PS males; and (iv) outstanding qualitative and quantitative differences between the hepatic expression signature of PS males and that promoted by paraquat. We conclude that (i) absolute amounts of transcripts encoding biotransformation enzymes are more potent biomarkers in males than in females, and in liver than in kidney; (ii) individual quantitations prevent biased interpretations by specimens with abnormal expression levels; and (iii)transcript expression signature of PS males is consistent with exposure to a complex profile of organic pollutants, other than oxidative stressors.

Tissue, species, and environmental differences in absolute quantities of murine mRNAs coding for alpha, mu, omega, pi, and theta glutathione S-transferases.

This article reports the first absolute quantitative analysis of expression patterns of murine transcripts (Gsta1/2, Gsta3, Gsta4, Gstm1, Gstm2, Gstm3, Gsto1, Gstp1/2, Gstt1, Gstt2) coding for most glutathione S-transferases (GSTs) of alpha, mu, omega, pi, and theta classes. We examine how the steady-state numbers of transcripts are modulated in association with: three animal organs (liver, kidney, and lung) where extensive detoxification occurs; two species (Mus musculus and Mus spretus) representing common laboratory and aboriginal mice; and two genetic and animal living conditions (wild-derived inbred animals and free-living mice). Moreover, quantitations performed examine how the pulmonary steady-state Gst mRNA amounts are affected in M. musculus by paraquat (a superoxide generator), and in M. spretus by dwelling at a polluted area. The results point to complex tissue-, species-, and life condition-dependent expression of the investigated transcripts. Among others, they show: i) the ubiquity of most transcripts, except Gstm3 mRNA that was virtually absent or at very low amounts (< or = 0.001 molecules/pg) in kidney and lung of M. spretus; ii) unique expression profiles for each transcript and mouse organ examined; iii) outstanding species-specific differences in basal amounts of most Gst mRNAs, this effect being most apparent in the case of Gsta1/2, Gsta3, Gstm2, Gsto1, Gstt1, and Gstt2; iv) paraquat-induced upregulation of most Gst mRNAs, with the notable exception of those coding for theta class GSTs; v) a tendency for mice dwelling at a wildlife reserve of having lower and more homogeneous Gsta3 mRNA levels than those collected in an anthropogenic environment.