Systems toxicology approach to understand the kinetics of benzo(a)pyrene uptake, biotransformation, and DNA adduct formation in a liver cell model.

Cell-based models are important for deriving mechanistic information about stress response pathways that have evolved to protect cells from toxic insult, such as exposure to environmental pollutants. One determinant of the stress response is the amount of chemical entering the cell and the cell's ability to detoxify and remove the chemical. If the stress response is overwhelmed, an adverse outcome will ensue. It was the goal of our study to quantify uptake and elimination rates of benzo(a)pyrene (BaP), a ubiquitous environmental pollutant, in a murine liver cell line. We evaluated the kinetic behavior in the context of BaP uptake, biotransformation, DNA adduct formation and repair along with the transcriptional and cell proliferation response. A low (50 nM) and a high (5 µM) BaP concentration were chosen in order to differentiate the role of exposure concentration in the time-resolved interaction of BaP with cells. While rates of uptake and the initial transcriptional response were similar for both BaP concentrations, cells exposed to 50 nM BaP completely recovered from exposure within 24 h, whereas cells exposed to 5 µM BaP did not. Biotransformation proceeded faster on 50 nM BaP, and the few DNA adducts formed were completely repaired after transient cell cycle arrest. In contrast, DNA adducts greatly accumulated in cells exposed to 5 µM BaP, despite significant biotransformation; complete cell cycle arrest and toxicity evolved. On the basis of the kinetic rate constants and cellular response, we conclude that at least short-term, pulsed exposures to 50 nM BaP, which we consider environmentally relevant, can be handled by cells without adverse outcome. Further studies are needed to determine the ability of cells to recover from repeated exposure. Our study emphasizes the importance of quantifying chemical uptake and fate in cell models to differentiate a stress response from an adverse outcome for better risk assessment.

Transcriptional signatures of regulatory and toxic responses to benzo-[a]-pyrene exposure.

BACKGROUND: Small molecule ligands often have multiple effects on the transcriptional program of a cell: they trigger a receptor specific response and additional, indirect responses ("side effects"). Distinguishing those responses is important for understanding side effects of drugs and for elucidating molecular mechanisms of toxic chemicals. RESULTS: We explored this problem by exposing cells to the environmental contaminant benzo-[a]-pyrene (B[a]P). B[a]P exposure activates the aryl hydrocarbon receptor (Ahr) and causes toxic stress resulting in transcriptional changes that are not regulated through Ahr. We sought to distinguish these two types of responses based on a time course of expression changes measured after B[a]P exposure. Using Random Forest machine learning we classified 81 primary Ahr responders and 1,308 genes regulated as side effects. Subsequent weighted clustering gave further insight into the connection between expression pattern, mode of regulation, and biological function. Finally, the accuracy of the predictions was supported through extensive experimental validation. CONCLUSION: Using a combination of machine learning followed by extensive experimental validation, we have further expanded the known catalog of genes regulated by the environmentally sensitive transcription factor Ahr. More broadly, this study presents a strategy for distinguishing receptor-dependent responses and side effects based on expression time courses.

Transcriptomics in ecotoxicology.

The emergence of analytical tools for high-throughput screening of biomolecules has revolutionized the way in which toxicologists explore the impact of chemicals or other stressors on organisms. One of the most developed and routinely applied high-throughput analysis approaches is transcriptomics, also often referred to as gene expression profiling. The transcriptome represents all RNA molecules, including the messenger RNA (mRNA), which constitutes the building blocks for translating DNA into amino acids to form proteins. The entirety of mRNA is a mirror of the genes that are actively expressed in a cell or an organism at a given time. This in turn allows one to deduce how organisms respond to changes in the external environment. In this article we explore how transcriptomics is currently applied in ecotoxicology and highlight challenges and trends.

The rus operon genes are differentially regulated when Acidithiobacillus ferrooxidans LR is kept in contact with metal sulfides.

Acidithiobacillus ferrooxidans is a gram-negative bacterium that obtains energy from the oxidation of ferrous iron or reduced sulfur compounds. In this bacterium, the proteins encoded by the rus operon are involved in electron transfer from Fe(II) to O(2), and the first two proteins in this pathway also participate in the electron transfer pathway from Fe(II) to NAD(P). In this work we analyzed the expression, by real-time PCR, of the eight genes from the rus operon when A. ferrooxidans LR was grown in the presence of iron (control) and then kept in contact with chalcopyrite (CuFeS(2)) and covellite (CuS). A small decrease in rus operon gene expression was observed in the presence of chalcopyrite, while in the presence of covellite the expression of these genes showed a remarkable decrease. These results can be explained by the absence of ferrous iron in covellite. To explain the expression difference observed between the gene cyc1 and the gene rus, we investigated the information content presented at the Translation Initiation Site (TIS) of both genes. cyc1 showed a highly information content (8.4 bits) that can maximize translation, and rus showed a less favorable context (5.5 bits). Our hypothesis is that the energetic metabolism in A. ferrooxidans may be controlled at the transcriptional and posttranscriptional level by different mechanisms.

Diagnosis of meningococcal meningitis in Brazil by use of PCR.

Fever and a petechial rash are strongly associated with meningococcal disease in the city of Rio de Janeiro. Early antibiotic therapy is indicated and, consequently, a reduction of confirmed cases by culture, Gram stain, and latex agglutination test is expected. We evaluated a multiplex PCR assay to identify Neisseria meningitidis, Streptococcus pneumoniae and Haemophilus influenzae in biological samples from cases of non-culture proven meningitis with a petechial rash at presentation. To detect DNA in cerebrospinal fluid (n = 71) or blood (n = 5), a PCR screen was performed, based on the crgA, ply and bexA targets, respectively. Of the total, 70 CSF and 3 blood samples (96%) were positive by PCR for the presence of N. meningitidis DNA. Another PCR assay predicted in 82% of these samples N. meningitidis serogroups A (2%), B (60%), C (7%), X (3%), Y (2%), 29E (2%) or W135 (24%). In non-culture proven meningitis, PCR was found to be a valuable adjunct for the demonstration of meningococcal aetiology.

Diagnosis of Streptococcus pneumoniae meningitis by polymerase chain reaction amplification of the gene for pneumolysin.

Diagnosis of bacterial meningitis has long been based on classical methods of Gram stain, serological tests, and culture of cerebrospinal fluid (CSF). The performance of these methods, especially culture and direct smear is thwarted by failure to detect bacteria following administration of antimicrobial agents and reluctance to performance lumbar punctures at admission. Indeed, patients with meningitis frequently receive antibiotics orally or by injection before the diagnosis is suspected or established Thus an alternative method has become necessary to help clinicians and epidemiologists to management and control of bacterial meningitis. We evaluate the application of a polymerase chain reaction-based (PCR) assay for amplification of pneumolysin gene (ply) to diagnosis of Streptococcus pneumoniae meningitis. The PCR assay sensitivity for CSF was 96% (95% confidence interval, CI, 90-99%) compared to a sensitivity of 59% for culture (95% CI 49-69%), 66% for Gram stain (95% CI 56-74%), and 78% for latex agglutination test (95% CI 69-86%); PCR specificity was 100% (95% CI 83-100%). PCR results were available within 4 h of the start of the assay. This molecular approach proved to be reliable and useful to identify this bacterium compared with other classical laboratory methods for identification of bacterial meningitis pathogens.

Diagnosis of Streptococcus pneumoniae meningitis by polymerase chain reaction amplification of the gene for pneumolysin

Diagnosis of bacterial meningitis has long been based on classical methods of Gram stain, serological tests, and culture of cerebrospinal fluid (CSF). The performance of these methods, especially culture and direct smear, is thwarted by failure to detect bacteria following administration of antimicrobial agents and reluctance to performance lumbar punctures at admission. Indeed, patients with meningitis frequently receive antibiotics orally or by injection before the diagnosis is suspected or established. Thus an alternative method has become necessary to help clinicians and epidemiologists to management and control of bacterial meningitis. We evaluate the application of a polymerase chain reaction-based (PCR) assay for amplification of pneumolysin gene (ply) to diagnosis of Streptococcus pneumoniae meningitis. The PCR assay sensitivity for CSF was 96 percent (95 percent confidence interval, CI, 90-99 percent) compared to a sensitivity of 59 percent for culture (95 percent CI 49-69 percent), 66 percent for Gram stain (95 percent CI 56-74 percent), and 78 percent for latex agglutination test (95 percent CI 69-86 percent); PCR specificity was 100 percent (95 percent CI 83-100 percent). PCR results were available within 4 h of the start of the assay. This molecular approach proved to be reliable and useful to identify this bacterium compared with other classical laboratory methods for identification of bacterial meningitis pathogens.