Development of an adverse outcome pathway network for breast cancer: a comprehensive representation of the pathogenesis, complexity and diversity of the disease.

Adverse outcome pathways (AOPs), introduced in modern toxicology, intend to provide an evidence-based representation of toxicological effects and facilitate safety assessment of chemicals not solely based on laboratory animal in vivo experiments. However, some toxicological processes are too complicated to represent in one AOP. Therefore, AOP networks are developed that help understanding and predicting toxicological processes where complex exposure scenarios interact and lead to the emergence of the adverse outcome. In this study, we present an AOP network for breast cancer, developed after an in-depth survey of relevant scientific literature. Several molecular initiating events (MIE) were identified and various key events that link the MIEs with breast cancer were described. The AOP was developed according to Organization of Economic Co-Operation and Development (OECD) guidance, weight of evidence was assessed through the Bradford Hill criteria and confidence was tested by the OECD key questions. The AOP network provides a straightforward understanding of the disease onset and progression at different biological levels. It can be used to pinpoint knowledge gaps, identify novel therapeutic targets and act as a stepping stone for the development of novel in vitro test methods for hazard identification and risk assessment of newly developed chemicals and drugs.

A robust high-throughput screening system to assess bacterial tyrosine ammonia lyase activity in the context of tyrosine inherited metabolic disorders.

Inborn errors of tyrosine metabolism result in patient's inability to degrade tyrosine. Current treatment consists of a phenylalanine and tyrosine restricted diet and nitisinone, causing a block in the tyrosine degradation pathway. However, tyrosine levels will increase, leading to acquired hypertyrosinemia, implying the need for an add-on treatment. Tyrosine ammonia lyases (TAL) can provide such an add-on treatment as they catalyze the deamination of tyrosine into p-coumaric acid and ammonia. In this study, we developed a robust high-throughput screening (HTS) assay to assess the capacity of bacterial TAL enzymes to decrease excessive tyrosine. The assay is based on the spectrophotometric quantification of p-coumaric acid after conversion of tyrosine by bacterial TAL. As a benchmark, TAL from Flavobacterium johnsoniae (FjTAL) was used to optimize the assay. Optimal growth conditions for high-level protein expression were determined by incubating transformed Escherichia coli BL21 (DE3) cells at different temperatures during various incubation times. Subsequently, assay temperature and pH were optimized followed by testing different ratios of tyrosine assay mixes to bacterial lysate. Finally, assay robustness and functionality were evaluated. Optimal FjTAL expression was obtained after incubation for 24 h at 22 °C. Ideal assay conditions consist of a 80/20 ratio of 1 mM tyrosine assay mix to FjTAL lysate performed at pH 9.2 and 37 °C. The robustness test showed Z' values > 0.4 and signal window values > 2 without edge or drift effects. As proof-of-principle, we successfully determined the catalytic activity of two other bacterial TAL enzymes RsTAL (5.718.10-3 ± 0.21.10-3) and SeSAM8 (4.658.10-3 ± 0.37.10-3). A robust, simple and reliable HTS assay was thus developed to evaluate the tyrosine degradation capacity of bacterial TAL enzymes.

A robust bacterial high-throughput screening system to evaluate single nucleotide polymorphisms of human homogentisate 1,2-dioxygenase in the context of alkaptonuria.

Alkaptonuria (AKU) is a rare inborn error of metabolism caused by a defective homogentisate 1,2-dioxygenase (HGD), an enzyme involved in the tyrosine degradation pathway. Loss of HGD function leads to the accumulation of homogentisic acid (HGA) in connective body tissues in a process called ochronosis, which results on the long term in an early-onset and severe osteoarthropathy. HGD's quaternary structure is known to be easily disrupted by missense mutations, which makes them an interesting target for novel treatment strategies that aim to rescue enzyme activity. However, only prediction models are available providing information on a structural basis. Therefore, an E. coli based whole-cell screening was developed to evaluate HGD missense variants in 96-well microtiter plates. The screening principle is based on HGD's ability to convert the oxidation sensitive HGA into maleylacetoacetate. More precisely, catalytic activity could be deduced from pyomelanin absorbance measurements, derived from the auto-oxidation of remaining HGA. Optimized screening conditions comprised several E. coli expression strains, varied expression temperatures and varied substrate concentrations. In addition, plate uniformity, signal variability and spatial uniformity were investigated and optimized. Finally, eight HGD missense variants were generated via site-directed mutagenesis and evaluated with the developed high-throughput screening (HTS) assay. For the HTS assay, quality parameters passed the minimum acceptance criterion for Z' values > 0.4 and single window values > 2. We found that activity percentages versus wildtype HGD were 70.37 ± 3.08% (for M368V), 68.78 ± 6.40% (for E42A), 58.15 ± 1.16% (for A122V), 69.07 ± 2.26% (for Y62C), 35.26 ± 1.90% (for G161R), 35.86 ± 1.14% (for P230S), 23.43 ± 4.63% (for G115R) and 19.57 ± 11.00% (for G361R). To conclude, a robust, simple, and cost-effective HTS system was developed to reliably evaluate and distinguish human HGD missense variants by their HGA consumption ability. This HGA quantification assay may lay the foundation for the development of novel treatment strategies for missense variants in AKU.