Biopartitioning micellar chromatography to predict mutagenicity of aromatic amines

Biochemical, genotoxic, histological and ultrastructural effects on liver and gills of fresh water fish Channa punctatus exposed to textile industry intermediate 2 ABS

The study was planned to assess the acute toxicity of textile industry intermediate, 2 amino benzene sulfonate (2 ABS) through biochemical, genotoxic, histopathological and ultrastructural (SEM) analysis in liver and gills of fresh water fish Channa punctatus. The fish were subjected to two sublethal concentrations (2.83 mg/30 g b. w. and 5.66 mg/30 g b. w.) for 96 h. A significant (p ≤ 0.05) increment in the enzymatic activity of catalase (CAT), superoxide dismutase (SOD) and glutathione reductase (GR) was observed followed by decline on CAT-SOD after 96 h of exposure in both the tissues, whereas increment in malondialdehyde (MDA) levels were observed throughout the exposure period for both the concentrations. Comet assay also showed elevated tail length and % tail DNA throughout the exposure period, marking maximum damage after 96 h for both the tissues. Light microscopy divulged several anomalies including: infiltration of lymphocytes, sinusoidal dilations, necrosis, vacuolation in liver and secondary lamellae fusion, telangiectasia and epithelial uplifting in gills. The highest degree of tissue change (DTC) in liver (50.33 ± 0.88) and gill (42.33 ± 2.18) was recorded with the highest concentration after 96 h of exposure. Scanning electron microscopy (SEM) also reaffirmed several alterations in liver and gills of fish. The findings of the present study inflict changes in liver and gills, marking the interference of 2 ABS with the normal functioning by suppressing the enzymatic activity, accelerating the lipid peroxidation, enhancing DNA damage and by disrupting normal architecture of liver and gills, making it toxic towards the fish even at sub-lethal concentrations.

Substrate-Dependent Modulation of SIRT2 by a Fluorescent Probe, 1-Aminoanthracene

Sirtuin isoform 2 (SIRT2) is an enzyme that catalyzes the removal of acyl groups from lysine residues. SIRT2's catalytic domain has a hydrophobic tunnel where its substrate acyl groups bind. Here, we report that the fluorescent probe 1-aminoanthracene (AMA) binds within SIRT2's hydrophobic tunnel in a substrate-dependent manner. AMA's interaction with SIRT2 was characterized by its enhanced fluorescence upon protein binding (>10-fold). AMA interacted weakly with SIRT2 alone in solution (K_d = 37 μM). However, when SIRT2 was equilibrated with a decanoylated peptide substrate, AMA's affinity for SIRT2 was enhanced ∼10-fold (K_d = 4 μM). The peptide's decanoyl chain and AMA co-occupied SIRT2's hydrophobic tunnel when bound to the protein. In contrast, binding of AMA to SIRT2 was competitive with a myristoylated substrate whose longer acyl chain occluded the entire tunnel. AMA competitively inhibited SIRT2 demyristoylase activity with an IC₅₀ of 21 μM, which was significantly more potent than its inhibition of other deacylase activities. Finally, binding and structural analysis suggests that the AMA binding site in SIRT2's hydrophobic tunnel was structurally stabilized when SIRT2 interacted with a decanoylated or 4-oxononanoylated substrate, but AMA's binding site was less stable when SIRT2 was bound to an acetylated substrate. Our use of AMA to explore changes in SIRT2's hydrophobic tunnel that are induced by interactions with specific acylated substrates has implications for developing ligands that modulate SIRT2's substrate specificity.

Computational identification of structural factors affecting the mutagenic potential of aromatic amines: study design and experimental validation

A grid-based, alignment-independent 3D-SDAR (three-dimensional spectral data-activity relationship) approach based on simulated ¹³C and ¹⁵N NMR chemical shifts augmented with through-space interatomic distances was used to model the mutagenicity of 554 primary and 419 secondary aromatic amines. A robust modeling strategy supported by extensive validation including randomized training/hold-out test set pairs, validation sets, "blind" external test sets as well as experimental validation was applied to avoid over-parameterization and build Organization for Economic Cooperation and Development (OECD 2004) compliant models. Based on an experimental validation set of 23 chemicals tested in a two-strain Salmonella typhimurium Ames assay, 3D-SDAR was able to achieve performance comparable to 5-strain (Ames) predictions by Lhasa Limited's Derek and Sarah Nexus for the same set. Furthermore, mapping of the most frequently occurring bins on the primary and secondary aromatic amine structures allowed the identification of molecular features that were associated either positively or negatively with mutagenicity. Prominent structural features found to enhance the mutagenic potential included: nitrobenzene moieties, conjugated π-systems, nitrothiophene groups, and aromatic hydroxylamine moieties. 3D-SDAR was also able to capture "true" negative contributions that are particularly difficult to detect through alternative methods. These include sulphonamide, acetamide, and other functional groups, which not only lack contributions to the overall mutagenic potential, but are known to actively lower it, if present in the chemical structures of what otherwise would be potential mutagens.

QSAR modeling for predicting mutagenic toxicity of diverse chemicals for regulatory purposes

The safety assessment process of chemicals requires information on their mutagenic potential. The experimental determination of mutagenicity of a large number of chemicals is tedious and time and cost intensive, thus compelling for alternative methods. We have established local and global QSAR models for discriminating low and high mutagenic compounds and predicting their mutagenic activity in a quantitative manner in Salmonella typhimurium (TA) bacterial strains (TA98 and TA100). The decision treeboost (DTB)-based classification QSAR models discriminated among two categories with accuracies of >96% and the regression QSAR models precisely predicted the mutagenic activity of diverse chemicals yielding high correlations (R ²) between the experimental and model-predicted values in the respective training (>0.96) and test (>0.94) sets. The test set root mean squared error (RMSE) and mean absolute error (MAE) values emphasized the usefulness of the developed models for predicting new compounds. Relevant structural features of diverse chemicals that were responsible and influence the mutagenic activity were identified. The applicability domains of the developed models were defined. The developed models can be used as tools for screening new chemicals for their mutagenicity assessment for regulatory purpose.

Toxicity of aromatic compounds to Tetrahymena estimated by microcalorimetry and QSAR

The toxicity of six organic aromatic chemicals to Tetrahymena growth metabolism was studied by microcalorimetry. The growth constant k, inhibitory ratio I, and half-inhibiting concentration IC(50) were calculated. The results suggested that the order of toxicity was aniline>nitrobenzene>chlorobenzene>toluene>benzene>phenol. Based on the molecular descriptors (such as K(OW), E(HOMO), E(LUMO), DeltaE, E(T) and logIC(50)), the QSAR equation is obtained by multiple linear regression analysis: logIC(50)=-3.360-1.545 E(HOMO)-0.6850 DeltaE-0.3019logK(OW) (R=0.8643, n=6, s=0.202, F=0.739, Sig.=0.041, R(CV)(2)=0.624). The equation indicates that the toxic action is a two-step process: the pass of the chemicals through the cell membrane (described by logK(OW)) and the electron-transfer reaction of the chemicals with biomolecules (described by E(HOMO) and DeltaE). The substituents on aromatic ring are crucial to the toxicity of the compounds and the reaction between the chemicals and biological macromolecules is important.

Identification of a fluorescent general anesthetic, 1-aminoanthracene

We identified a fluorophore, 1-aminoanthracene (1-AMA), that is anesthetic, potentiates GABAergic transmission, and gives an appropriate dissociation constant, K(d) approximately 0.1 mM, for binding to the general anesthetic site in horse spleen apoferritin (HSAF). 1-AMA fluorescence is enhanced when bound to HSAF. Thus, displacement of 1-AMA from HSAF by other anesthetics attenuates the fluorescence signal and allows determination of K(d), as validated by isothermal titration calorimetry. This provides a unique fluorescence assay for compound screening and anesthetic discovery. Additional electrophysiology experiments in isolated cells indicate that 1-AMA potentiates chloride currents elicited by GABA, similar to many general anesthetics. Furthermore, 1-AMA reversibly immobilizes stage 45-50 Xenopus laevis tadpoles (EC(50) = 16 microM) and fluorescence micrographs show 1-AMA localized to brain and olfactory regions. Thus, 1-AMA provides an unprecedented opportunity for studying general anesthetic distribution in vivo at the cellular and subcellular levels.