Next Article in Journal
Impacts of Long-Term High-Temperature and Low-Salinity Stress on the Circadian Rhythms of Antioxidant, Immune, and Endocrine Systems in Turbot (Scophthalmus maximus)
Previous Article in Journal
Protective Effects of Curcumin and Sulforaphane Against Ionising Radiation–Induced Oxidative Stress and Inflammatory Responses in Rat Lung Tissue
Previous Article in Special Issue
Tris[N-(prop-2-en-1-yl)hydrazinecarbothioamide]-Cobalt(III) Chloride as a Stimulator of the Total Antioxidant Status of Apis mellifera with Acaricidal Activity
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Structural Descriptors and Antioxidant Activity Markers of 4-[4-(2-Aminoethoxy)benzyl]aniline

by
Dmitry A. Filimonov
1,
Alexander B. Eresko
2,*,
Nadezhda N. Trubnikova
1,
Irina A. Kisilenko
1,
Margarita A. Belotserkovskaya
1,
Elena V. Raksha
2,
Roman V. Ishchenko
1 and
Dorota M. Chudoba
2
1
Federal State Budgetary Institution “V.K. Gusak Institute of Emergency and Reconstructive Surgery” of the Ministry of Health of the Russian Federation, Donetsk 283045, Russia
2
Frank Laboratory of Neutron Physics, Joint Institute for Nuclear Research, Dubna 141980, Russia
*
Author to whom correspondence should be addressed.
Antioxidants 2026, 15(2), 256; https://doi.org/10.3390/antiox15020256
Submission received: 31 December 2025 / Revised: 7 February 2026 / Accepted: 12 February 2026 / Published: 17 February 2026

Abstract

The release of reactive oxygen species accompanying oxidative stress is one of the most significant damaging mechanisms during brain ischemia. Some aspects of the neuroprotective activity of the thyronamine T0AM synthetic analogue, 4-[4-(2-aminoethoxy)benzyl]aniline (ABA), were studied and discussed in two independent experiments using a model of acute cerebral ischemia. Antioxidant effects were evaluated in adult male and female Wistar rats (Rattus norvegicus), while neurological outcomes were assessed in adult male outbred white rats. Administration of the ABA in a rat brain hemisphere ischemia model was associated with significant changes in redox markers: malondialdehyde, glutathione peroxidase and superoxide dismutase levels in the ischemic hemisphere. Also, the introduction of ABA into the model of acute cerebral ischemia contributed to a reduction in neurological deficit compared to untreated controls. It was revealed that the considered thyronamine T0AM analogue could control redox status in acute brain ischemia. Mono protonated form of ABA (ABA-H+) is considered to be the main species at pH 6.9–7.2. Structural models of the neutral (ABA), protonated (ABA-H+) thyronamine and its solvate (DMSO…ABA-H+) were used in DFT calculations, followed by estimation of molecular and supramolecular level descriptors.

1. Introduction

Overproduction of cellular reactive oxygen and nitrogen species (ROS, RNS) due to an imbalance between prooxidants and antioxidants in vivo causes oxidative modification of lipids, proteins, DNA, etc., leading to accelerated cellular death. Oxidative stress (OS) promotes the development and progression of excitotoxicity, leading to oxidative damage to lipids, proteins and DNA, disruption of the blood-brain barrier, and the initiation of secondary mechanisms including neuroinflammation, apoptosis, and ferroptosis, as well as autophagy dysfunction. Formed at inflammatory sites, oxidants such as superoxide (O2•−) and hydroxyl (OH) radical, hydrogen peroxide (H2O2), and hypochlorous acid (HOCl) appear to contribute to the tissue damage in some acute and chronic inflammatory diseases [1].
The primary defense comprises three key enzymes that prevent free radical formation or neutralize them: glutathione peroxidase (GPx), catalase (CAT), and superoxide dismutase (SOD). GPx donates two electrons to reduce peroxides by forming selenols and eliminates peroxides that could otherwise act as substrates for the Fenton reaction. CAT converts H2O2 into H2O and O2. Lastly, SOD converts superoxide radical into H2O2, which then serves as a substrate for CAT [2].
The brain is particularly sensitive to oxidative damage, due to its high levels of polyunsaturated fatty acids, which represent one of the prime targets for ROS [3]. OS is a key factor that must be addressed after ischemic brain injury. Numerous preclinical studies have demonstrated that OS following the accumulation of ROS during ischemic stroke (IS) irreversibly damages cellular biomolecules, including lipids, proteins and DNA, leading to neuronal death. In the early stages of IS, increased oxygen supply to ischemic foci leads to a rapid increase in oxygen radicals, which cause DNA damage and trigger a cellular mechanism known as the DNA damage response. This mechanism involves homologous recombination and non-homologous end joining to efficiently repair damage.
Additionally, poly(ADP-ribose) polymerase 1 (PARP-1), a key member of the poly(ADP-ribose) polymerase superfamily, plays a critical role in both DNA repair pathways and the regulation of cellular apoptosis. Elevated PARP-1 levels following apoptosis induction trigger the translocation of apoptosis-inducing factor (AIF) to the nucleus. This leads to chromatin disruption and cell death independent of caspase activation via binding to the histone H2A variant H2AX. The PARP/AIF pathway mediates cell death independently of caspases, a process known as parthanatos. Neuronal DNA damage caused by OS during ischemia is closely linked to parthanatos [3,4].
Lipid peroxidation (LPO) can be described as a process in which oxidants (primarily ROS) attack lipids containing carbon–carbon double bonds. Therefore, various antioxidant substances have been shown to reduce ischemic brain damage. The antioxidant defense system neutralizes or scavenges ROS and plays a protective role against ischemic brain damage. One of the key enzymes in this system is SOD, which primarily functions to protect against the harmful effects of OS. Altering SOD expression has demonstrated significant success in animal models of transient cerebral ischemia. Sugawara et al. [5] showed that transgenic rats overexpressing SOD1 had reduced infrared-induced superoxide production and selective death of CA1 pyramidal cells. Keller et al. [6] also found that transgenic mice overexpressing SOD2 had significantly reduced LPO, protein nitration and cerebral infarction after transient focal cerebral ischemia. Increased expression of SOD1 and SOD2 in CA1 pyramidal cells after pre-treatment with natural antioxidants of plant origin (quercetin, chlorogenic acid, etc.) contributed to the cell protection from ischemic damage in gerbils.
Antioxidant therapy for acute ischemic stroke can slow the progression of Alzheimer’s-type dementia by suppressing OS, pathological tau phosphorylation and β-amyloid accumulation. Early administration of antioxidants activates Nrf2, reduces NADPH oxidase activity and neuroinflammation, maintains synaptic plasticity and the integrity of the blood-brain barrier. Clinical data show a delay in cognitive decline, especially in patients with premorbid signs of neurodegeneration [3,7].
All these factors make the development of new neuroprotective strategies crucial, both to protect brain cells from ischemia and to extend the time window for thrombolytic therapy. As a result, the Stroke Academic Industry Roundtable (STAIR) guidelines now pay special attention to agents with multiple mechanisms of action for neuroprotection. Of particular interest are endogenous bioamines—derivatives of thyroid hormones known as thyronamines—which can exert a hypothermic effect on the brain, modulate behavioral and cognitive functions and influence OS [8].
We have assumed that thyronamines can also contribute to the nervous tissue antioxidant protection. Their AO properties can be estimated using a complex approach that includes the experimental determination of AOA markers and computational methods for characterizing their structure and reactivity with ROS.
In terms of oxidative stress intensity assessment, indicators such as malondialdehyde (MDA), an OS biomarker, and endogenous antioxidants superoxide dismutase and glutathione peroxidase, which catalyzes the oxidation of reduced glutathione, are of special interest [9].
Methods and approaches of computational chemistry are actively used for the description and properties prediction of bioactive compounds [10]. Structural descriptors of different levels are proposed and utilized for AO compounds characterization [10]. Molecular structure descriptors such as bond lengths, bond angles, and torsion angles are used to describe stable conformations as well as changes in molecular geometry during chemical reactions. Some of them may differ significantly for origin molecules, complexes of reagents and transition states. Character and degree of changes can serve as markers of intra- and intermolecular interactions. Atomic charges are quantum-chemical descriptors that characterize the electrostatic component of chemical interactions. The polarity of a molecule is described by its dipole moment (μ). The energies of the highest occupied (EHOMO) and lowest unoccupied (ELUMO) molecular orbitals are descriptors used in calculations of electronic structures of molecules. In some cases, the EHOMO values directly correlate with the ionization energy (IE) and characterize the susceptibility of the molecule to electrophilic attack. The ELUMO values correlate with the electron affinity (EA) and characterize the susceptibility of the molecule to nucleophilic attack. IE and EA values, as well as parameters based on them, are often referred to as global reactivity descriptors [11] and used for property prediction.
Such markers of intermolecular interactions, like chemical shifts or vibrational frequencies of donor\acceptor groups, can be estimated from NMR or vibrational spectroscopy experiments or from DFT calculations. Quantitative description of the intermolecular interactions can be accomplished using the Gibbs free energy difference (ΔG) [10]. A more detailed quantitative description of intermolecular interactions is provided by using the enthalpy (ΔH) and entropy (ΔS) differences, which are related to ΔG as follows: ΔG = ΔHTΔS, where T—is the reaction temperature. The ΔG, ΔH, and ΔS values for a reaction or interaction can be regarded as descriptors of intermolecular interactions and can be estimated from experimental studies or from molecular modelling results.
The present study is a part of a systematic complex investigation focused on the structure and properties of new perspective analogs of endogenous thyronamines by experimental and computational methods. In contrast to the endogenous T0AM and T1AM thyronamines, the chosen structural analogue—4-[4-(2-aminoethoxy)benzyl]aniline (ABA) does not contain an oxygen bridge between the aryl fragments, and the 4′-OH group in it is replaced by the 4′-NH2 group (Figure 1). The latter has the necessary acceptor properties during hydrogen bond formation and improves the molecule’s pharmacokinetic properties (in the form of hydrochloride, hydrophilicity increases).
This paper presents the results of experimental investigations of 4-[4-(2-aminoethoxy)benzyl]aniline properties, in conjunction with molecular modeling of its geometry, electronic structure and reactivity by DFT methods. In this study, we consider the following frameworks of the problem:
Antioxidant activity of the ABA during brain ischemia by determination of LPO markers in brain tissue and the level of neurological deficit.
Appropriate models of ABA for the investigation of its molecular structure features and properties, as well as structural descriptors by DFT methods.
The present study is aimed:
To evaluate the effect of the synthetic thyronamine analogue ABA on the severity of acute cerebral ischemia and its potential involvement in the regulation of antioxidant defense systems.
To rationalize the structural models ABA for computations by DFT methods;
To calculate descriptors of different levels for further ABA investigations.

2. Materials and Methods

2.1. Synthesis of 4-[4-(2-Aminoethoxy)benzyl]aniline

4-[4-(2-Aminoethoxy)benzyl]aniline was obtained as reported in [12]. All reagents were from Sigma-Aldrich compounds for synthesis and used without additional purification. Details on the synthesis of 4-[4-(2-aminoethoxy)benzyl]aniline and its characterization by NMR 1H and 13C spectroscopy are listed in [13].
Data on the ABA sample characterization can be found in the Supplementary Materials.

2.2. Bioactivity of 4-[4-(2-Aminoethoxy)benzyl]aniline

2.2.1. Experimental Animals

The bioactivity of 4-[4-(2-aminoethoxy)benzyl]aniline was studied in two experiments involving a total of 58 laboratory animals (Rattus norvegicus). All animals were clinically healthy, with no signs of disease, and had not undergone any previous experimental procedures prior to inclusion in the study. The experimental unit was a single animal.
The animals were kept under standard vivarium conditions (air temperature 18–26 °C, relative humidity 46–65%, a 12-h daylight period) with free access to food and water, in standard plastic cages, no more than 5 animals in each.
Due to the cerebral vasculature and physiology similarities between rats and humans, and the ease of operation in animal experiments, rats were chosen as a model organism for the formation of acute ischemic stroke. Animals were randomly allocated to groups using a random number–based method. Apart from randomization, no additional measures were taken to control potential confounders.
One investigator performed the surgical procedures and was aware of group allocation. Behavioral testing and outcome assessment were conducted by two investigators blinded to group assignment. Data analysis was performed using coded data, and group identities were disclosed only after completion of the analysis.
No a priori inclusion or exclusion criteria were defined for animals. All animals that underwent the surgical procedure survived until the end of the experiment and were included in the final analyses.
All surgical and experimental procedures were performed in a dedicated laboratory room under controlled environmental conditions. No expected or unexpected adverse events were observed during the study. No predefined humane endpoints were established. Animals were monitored daily for general condition and survival.

2.2.2. Oxidative Stress Assessment in the Acute Cerebral Ischemia Model

A total of 40 adult male and female Wistar rats weighing 190–210 g were used in the study. The animals were divided into two groups: control (Control) and experimental (ABA). Each group included 20 animals to account for higher biological and technical variability inherent to biochemical measurements and to ensure sufficient power to detect biologically meaningful differences. Sample sizes were determined based on experimental endpoints and prior experience.
A model of cerebral ischemia was induced by permanent ligation of the right common carotid artery (RCCA) with a silk suture. This model was selected to reproduce focal cerebral ischemia. Surgical procedures were performed under general anesthesia induced by ketamine (Calypsol) administered intraperitoneally at a dose of 80 mg/kg. The control group received a single intraperitoneal injection of 1 mL of vehicle (0.5 mL DMSO solution + 0.5 mL 0.9% NaCl solution) 10 min after ligation, and the ABA group received a single ABA solution at a dosage of 75 mg/kg, dissolved in 1 mL of vehicle. The dose was chosen based on previous studies demonstrating the thermoregulatory effect of the substance. No additional interventions were used to alleviate pain, suffering, or distress.
Twenty-four hours after the experiment, the animals were decapitated, and their brains were removed. This time period was selected to assess early oxidative stress responses following ischemic injury. The cerebral cortex tissue, separately intact and ischemic hemispheres, was homogenized and used to determine lipid peroxidation indices, specifically the content of TBA-reactive products (TBARS) and the activities of the enzymes superoxide dismutase and glutathione peroxidase.

2.2.3. Assessment of Neurological Deficits

A total of 18 adult outbred male white rats weighing 200–250 g were divided into three groups: Sham, Control and ABA, 6 animals in each group. A smaller group size was employed, as behavioral outcomes exhibited lower within-group variability. This sample size was considered sufficient to detect the expected effects while minimizing animal use.
Acute cerebral ischemia was induced as described in the previous section.
Animals in the ABA group were intraperitoneally injected with ABA solution at a dosage of 75 mg/kg, dissolved in 1 mL of vehicle (0.5 mL of DMSO and 0.5 mL of 0.9% sodium chloride solution), 10 min after arterial ligation. Animals in the Control group were intraperitoneally injected with 1 mL of vehicle, 10 min after RCCA ligation.
Animals in the Sham group underwent the same surgical procedures, including the insertion of a silk thread under the RCCA. However, the artery was not ligated. Ten minutes after the ends of the silk thread were carefully trimmed, 1 mL of vehicle without ABA was injected intraperitoneally.
Modified Neurological Severity Scores (mNSS) were used to assess neurological deficits. The mNSS includes a composite of motor (muscle status and abnormal movement), sensory (visual, tactile, and proprioceptive), reflex, and balance tests. In healthy intact animals, the test score is 0. The higher the score, the more severe the neurological deficit [14]. Measurements were taken before surgery, on days 1, 3 and 7 after surgery.

2.2.4. Laboratory Tests

TBA-active products were determined by reaction with thiobarbituric acid (TBA). SOD activity was determined spectrophotometrically by the ability to inhibit the reaction of adrenaline autoxidation in adrenochrome at pH = 10.2. GPO activity was assessed by changes in the amount of reduced glutathione (GSH) before and after incubation with a model substrate (tert-butyl hydroperoxide) using a reaction with Ellman’s reagent (5,5′-dithiobis-2-nitrobenzoic acid or DTNB). All reagents were Sigma-Aldrich compounds.

2.2.5. Statistical Analysis

Statistical processing of the results was performed using the R programming language (version 4.5.2). Data distribution was assessed for normality using the Shapiro–Wilk test. As the data did not meet the assumptions of normal distribution, non-parametric statistical methods were applied. The Wilcoxon rank sum test was used to determine differences between two independent samples. The Kruskal–Wallis test was used to compare several independent samples. Dunn’s test was used for post-hoc analysis.

2.3. DFT Calculations

Density functional theory (DFT) calculations were carried out using the Orca software package [15]. All calculations were performed with classical B3LYP functional [16,17,18], which is still one of the best hybrid functionals [19,20] in combination with the standard Pople basis set 6-31G(d,p). Solvation by DMSO was accounted for using both the implicit model (PCM) and supermolecule approximation.
The initial structure of the ABA molecule was taken from our previous study [13] and used for ABA-H+ and DMSO…ABA-H+ models are obtained. The molecular geometry of all species was fully optimized. The absence of imaginary vibrational wavenumbers indicated that a local minimum had been reached.
Equilibrium geometries of ABA, ABA-H+ and DMSO…ABA-H+ species were used as input for the magnetic shielding constants (χ, ppm) calculations by the gauge-independent atomic orbital (GIAO) method [21]. Chemical shifts (δ, ppm) of the 1H for all considered species were determined on a δ-scale relative to tetramethylsilane (TMS). Full optimization of molecular geometry and calculation of χ for TMS were performed using the same level of theory and basis set (B3LYP/6-31G(d,p)/PCM).

2.4. Descriptors Calculations

Various structural descriptors were derived from the discrete DFT computational results. They represent the ABA properties at the atomic and molecular level (energy, bond lengths, bond and torsion angles, atomic charges, dipole moment, vibrational levels, etc.).
Global reactivity descriptors (GRDs), such as ionization energy, electron affinity, hardness (η), and softness (S), were calculated according to conceptual DFT using the following formulas (1)–(4). Ionzation energies refer to the vertical ionization energy, in which case the ion-radical species is in the same geometry as the neutral one, and to the adiabatic ionization energy, in which case the ion-radical species is in its lowest energy, relaxed geometry [22].
IE = E(N − 1)E(N),
EA = E(N)E(N+1),
η = (IEEA)/2,
S = 1/2η,
where E(N)—energy of initial species, E(N−1)—energy of anion radical species, E(N+1)—energy of cation radical species.

Intermolecular Interactions Descriptors

Binding energies Ebind for ABA complexes with H2O2 were calculated using Equations (5) and (7), whereas the change in Gibbs Free Energy (ΔGbind) was calculated using Equations (6) and (8).
Ebind = Ecomplex − (EHOOH + EABA…H+),
ΔGbind = Gcomplex − (GHOOH + GABA…H+),
Ebind = Ecomplex − (EHOOH + EABA…H+ + ECl−).
ΔGbind = Gcomplex − (GHOOH + GABA…H+ + GCl−),
where Ecomplex, EHOOH, EABA…H+, and ECl−—are energies of a complex, free hydrogen peroxide, ABA...H+ cation, and Cl anion, respectively (with ZPC); Gcomplex, GHOOH, GABA…H+, and GCl−—are Gibbs free energies of a complex, free hydrogen peroxide, ABA...H+ cation, and Cl anion, respectively. All parameters used for calculation were obtained for species in equilibrium geometry at the B3LYP/6-31G(d,p) with D3BJ dispersion correction [23,24].
The peroxide bond dissociation energies (BDEs) for H2O2 and ABA complexes with H2O2 were calculated as the energy difference between the hydroxyl radicals and the H2O2 molecule as defined in Equation (9).
BDEO-O = 2EHOEHOOH,
where EHO—is the energy of hydroxyl radical (with ZPC), EHOOH—is the energy of free hydrogen peroxide with relaxed geometry or energy of the hydrogen peroxide conformation in the complex (with ZPC). All parameters used for calculation were obtained for optimized species at the B3LYP/6-31G(d,p) with D3BJ dispersion correction [23,24].

3. Results and Discussion

3.1. Markers of the ABA Antioxidant Activity in the Model of Acute Cerebral Ischemia

As expected, in the control group, the median TBARS level was higher in the ischemic hemisphere than in the intact hemisphere, indicating enhanced lipid peroxidation following ischemia. Administration of ABA resulted in more than a two-fold decrease in the median level of TBARS in the ischemic hemisphere compared with control animals (p = 0.029). In contrast, an opposite trend was observed in the intact hemisphere: ABA-treated rats demonstrated an approximately 3.5-fold increase in the median TBARS level compared with the untreated control group (p = 0.008). The results are presented in Figure 2 and Table 1.
No statistically significant differences in SOD activity were found in the cortex of the intact cerebral hemispheres between the control and experimental groups. However, in the ischemic hemisphere of ABA-treated animals, SOD activity was higher than in the control group, although this difference did not reach statistical significance (p = 0.062).
Comparison of GPx activity between the control and experimental groups indicated an increase in median values following ABA administration. In the intact hemisphere, GPx activity was elevated by more than sevenfold (p = 0.045), while in the ischemic hemisphere, an increase of more than fivefold was observed (p = 0.017).
Glutathione peroxidase plays a key role in the reduction of lipid hydroperoxides and hydrogen peroxide; therefore, its activation may contribute to limiting oxidative damage during the early phase of ischemic injury. The parallel increase in GPx activity observed in both hemispheres suggests that ABA may exert a systemic effect on the regulation of antioxidant enzymes. Although changes in superoxide dismutase activity did not reach statistical significance, the tendency toward increased SOD activity in the ischemic hemisphere of ABA-treated animals is consistent with an overall shift toward enhanced antioxidant capacity.
The decrease in TBARS levels in the ischemic hemisphere following ABA administration is consistent with attenuation of ischemia-induced lipid peroxidation. Paradoxically, in the intact hemisphere, ABA administration led to an increase in TBARS, despite elevated GPx activity and the same SOD levels. This may indicate that the effect of ABA depends on the tissue’s state (normal vs. ischemic), possibly due to its differential behavior under varying pH conditions. This observation requires further study, including the addition of intact groups of animals after drug administration, which is a limitation of our study.

3.2. Effect of ABA Administration on the Indicators of Neurological Deficit in an Experimental Model of Acute Cerebral Ischemia

The results of the mNSS test are presented in Figure 3 and Table 2.
Before surgery, the animals in all study groups showed no differences in neurological scores, with medians of less than one point. On the first day after surgery, the control group exhibited a significant increase in median mNSS score to 3 points. In contrast, the median scores in the ABA and Sham groups were both 1.0 (p = 0.025 and p = 0.009, respectively, compared to the control group). The scores of the ABA-treated animals were not statistically significantly different from those of the sham-operated group.
On the third and seventh days, the scores in the control group remained higher (1.67 and 1.83, respectively), but no statistically significant differences were found between the groups.
Thus, it can be assumed that ABA administration was associated with a reduction in neurological deficit compared to untreated controls. Reduction of lipid peroxidation and activation of antioxidant enzymes provide a possible biochemical basis for the improved neurological outcomes observed in the behavioral experiment. However, this part of the study has several limitations, including the relatively small sample size and the use of different rat strains across experiments, which may limit the direct comparability of biochemical and behavioral outcomes.
The observed effects of ABA on the regulation of redox balance during ischemic brain injury may be relevant to human pathophysiology; however, further studies are required to confirm their translational applicability.

3.3. Chemical Species Distribution for the ABA at Different pH Levels

There are two NH2 groups (aryl- and alkyl-bonded) in the structure of ABA (Figure 1, marked in violet and green), which are sensitive to the medium pH level. Thus, one can expect the presence of several protonated forms of ABA in water solutions as well as in vivo at different pH levels. The neutral and protonated forms distribution for the ABA (Figure 4) at different pH values was estimated with the Marvin Protonation Plugin [25]. Corresponding pKa values estimated for the two considered NH2 groups are pKaaryl = 4.39 and pKaalkyl = 9.28 for the aryl and alkyl moieties. correspondingly.
Intracellular pH in the brain is maintained at approximately 7.2 [26,27,28,29]. This parameter is strongly regulated by active (ion pump transport) and passive (ion channel transport, intracellular buffer solution) mechanisms [27]. During a stroke, the extrusion of CO2 from the cell is limited by poor perfusion. Accumulation of CO2 in the intracellular space decreases the performance of the buffer solution and contributes to the reduction of pH [27]. Overall, intracellular pH in the brain is dependent upon local perfusion, intracellular energy reserves and time. A pH threshold of 6.3–6.4 exists, beyond which cellular pH-related damage is triggered [27,30]. As ABA is a promising neuroprotector for ischemic stroke treatment, it is important to estimate its possible forms under physiological conditions mentioned above. Our estimations have shown mono protonated form of ABA (ABA-H+) to be the main species (level up to 99%) at physiological pH 6.9–7.2 range. Thus, we consider the mono-protonated form of ABA-H+ as the main object for the next studies. Some parameters for the un-ionized ABA form will also be presented for comparison.

3.4. Structural Models of the ABA for DFT Calculations

It was shown previously that chemical shifts of 1H nuclei are quite correctly reproduced for the ABA molecule at B3LYP/6-31G(d,p)/PCM level of theory [13], but with the exception of NH2 groups’ protons, which are sensitive to the intermolecular interactions. DMSO was used as a solvent in NMR spectroscopy studies of the ABA structure [13,31] and as a component of the vehicle for the ABA injection preparations in the present study and in our previous work [31]. Additional specific solvation of ABA by DMSO molecules considered within supermolecule approximation [31] revealed that the value of δ(NH2) = 5.14 ppm experimentally observed for the aniline fragment is due to specific solvation. This is why one can consider ABA, ABA-H+, and its solvate DMSO…ABA-H+ as models for DFT calculations. Equilibrium geometries of the ABA, ABA-H+ and DMSO…ABA-H+ were obtained (Figure 5) and used for the magnetic shielding constants of the 1H nuclei calculations. Chemical shifts of the NH2 groups’ protons were estimated. Good agreement between experimental and calculated δ(NH2) values was obtained in the case of DMSO…ABA-H+ (Figure 5). Thus, the equilibrium geometries considered for the ABA, ABA-H+ and DMSO…ABA-H+ species were used for further descriptor assessments.

3.5. Descriptors for the ABA

Molecular geometry descriptors include bond lengths, bond angles, and torsion angles, and can be obtained from geometry optimization. Torsion angles (C8–C1–C2–C3 (α), C5–C7–O15–C16 (β), and O15–C16–C17–N18 (γ)), which are crucial for the ABA, are listed in Table 3 for all considered models. Mutual arrangement of these angles determines the spatial configuration of the ABA in neutral, protonated or solvated form. Values of α, β, and γ for ABA-H+ significantly differ from the corresponding ones for the neutral ABA molecule. The configuration of the ethylamine fragment changed from synclinal (γ = 61.4°) to antiperiplanar (γ = 179.9°). The C–N bond length is elongated noticeably due to protonation.
Electronic structure descriptors considered for ABA forms are Mulliken atomic charges for NH2 groups and O atoms (q, e), total dipole moment (μ, D), energies of frontier molecular orbitals and an energy gap. The energy gap of frontier molecular orbitals (Egap) is the difference between ELUMO and EHOMO (Egap = ELUMOEHOMO); the higher Egap, the more kinetically inert the molecule is [32].
Protonation and solvation lead to a decrease in the net negative charges on N atoms and a net negative charge on O atoms in the structure of ABA (Table 3). As expected, dipole moment values for protonated species are significantly higher compared to the neutral ABA molecule. Egap value was found to slightly decrease in the row: ABA > ABA-H+ > DMSO…ABA-H+.
The global chemical reactivity descriptors describe the sensitivity of a compound’s structure to slight changes in the external potential and electrons. These descriptors are used to predict reactivity and structure stability [11]. The GCRDs commonly used to measure the electron-transfer characteristics of antioxidants were calculated for ABA forms. They are given in Table 3.

3.6. Descriptors of Intermolecular Interactions: H-Bonds Formation and Interaction with Reactive Oxygen Species

As for the different types of descriptors of intermolecular interactions, in this work, for the ABA molecule, we limited ourselves to considering well-known markers of hydrogen bonds, and also considered the interaction of ABA with HOOH as an example of ROS.
H-bonds markers. Vibrational (IR and Raman) and NMR spectroscopy are traditionally used to study intermolecular interactions in solutions and confirm H-bond formation [33,34]. In the case of ABA, the amino groups are the obvious reaction centers for intermolecular interactions. Therefore, the characteristic vibrations of these groups in IR spectra and the chemical shifts of protons in NMR spectra will be sensitive to their participation in H-bond formation [13,35]. Calculated harmonic vibrations wavenumbers corresponded to the stretchings and bendings of free and protonated amino groups in ABA, ABA-H+, and DMSO…ABA-H+ are listed in Table 3. Protonation and specific solvation result in the shifts of key frequencies towards lower wavenumbers and are crucial for the NH2 groups’ chemical shifts.
Interaction with ROS. 3-Iodothyronamine and 3-iodothyroacetic acid (TA1) are the only known endogenous thyroid-hormone-related compounds for which redox properties were studied [36]. TA1 showed both superoxide (O2•−) and hydroxyl (OH) radical scavenging activities, and T1AM had only the capacity to scavenge superoxide radicals. These reactions may occur due to the presence of the hydroxyl (-OH) group in the structure of T1AM and the corresponding acid. This type of activity is similar to that of phenol compounds [37,38,39].
Reactivity of endogenic thyronamines as well as their synthetic analogs can also be related to H2O2 interaction reactions. ABA protonated form contains the –O–CH2–CH2–NH3+ fragment which is closely related with choline (HO–CH2–CH2–N(CH3)3+) and acetylcholine (CH3C(O)O–CH2–CH2–N(CH3)3+) structures. These compounds and their structural analogs have shown to demonstrate antiradical activity in a model of H2O2-induced toxicity [40]. Also, they can activate radical decomposition of H2O2 with (OH) radical generation [41,42]. Counteranion (such as Cl, Br, or I) can regulate the reactivity of choline, acetylcholine cations, as well as their structural analogs [42,43,44,45,46]. The first step of peroxide bond catalytic decomposition is the complex formation between the catalyst species.
Possible structure models of the complex between the hydroperoxide and quaternary ammonium salts were proposed based on the experimental NMR spectroscopy data [43,44,45]. In this study, we consider the interaction between the ABA protonated form and the H2O2 molecule, including ABA-H+…H2O2 complex formation, as well as the combined action of the two ions (Figure 6).
The complexes considered were probed for structural parameters, binding energies, and stability. The obtained results are listed in Table 4 and Table 5. Binding energies for Complexes 1 and 2, as well as structural parameters, point out multiple intermolecular interactions in the considered species. Interatomic distances between protons of the NH3 group and peroxide oxygen atoms are within 1.9–2.7 Å (Figure 6). Additional H-bonds are formed between Cl and the O–H group of the peroxide, as well as the NH3 group of protonated ABA.
It should be noted that complexation with H2O2 leads to the reorganization of the ABA structure. Key torsion angles that determine the ABA spatial configuration changed from α = 90.2° and β = −91.4° in ABA-H+ to α = 88.9° and β = 84.7° in the Complex 1 and α = 49.0° and β = 179.3° in the Complex 2.
Complexation with cation ABA-H+ or the combined action of two different centers (ABA-H+ and Cl) on the peroxide molecule is effective for its binding without activation of O–O bond: difference ~2 kJ·mol−1 between BDEO–O value for bonded and non-bonded peroxide is insignificant (Table 4). Additional experimental investigations are needed to verify these results.
According to the obtained results, the following future research directions can be highlighted:
Experimental study of the ABA antioxidant activity in the reactions with ROS;
Study of the ABA reactivity in the reactions with ROS by DFT methods.

4. Conclusions

It has been found that the T0AM thyronamine analogue, ABA, is able to control the redox status in acute cerebral ischemia, which may be a mechanism for neuroprotection of healthy tissues, contributing to the reduction of neurological deficit, but further experimental studies are needed to evaluate its neuroprotective potential. Structural models of the protonated ABA (ABA-H+ and DMSO…ABA-H+) can be used for further structural investigations by DFT methods.
The knowledge yielded by this type of work—concurrent experiments on in vivo assessment of neuroprotective profile and comprehensive DFT investigations—should help expose the molecular basis of thyronamines’ bioactivity, with a view to rationally designing new and more effective neuroprotectors for future clinical use.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/antiox15020256/s1, Figure S1: Chemical structure of 4-[4-(2-aminoethoxy)benzyl]aniline (ABA).

Author Contributions

Conceptualization, A.B.E., E.V.R. and D.A.F.; methodology, A.B.E., E.V.R. and D.A.F.; software, E.V.R. and D.M.C.; validation, E.V.R., N.N.T., M.A.B. and I.A.K.; formal analysis, E.V.R., N.N.T., M.A.B. and I.A.K.; investigation, A.B.E., E.V.R. and D.A.F.; resources, A.B.E., D.M.C., R.V.I. and D.A.F.; data curation, E.V.R., N.N.T., M.A.B. and I.A.K.; writing—original draft preparation, A.B.E., E.V.R., D.A.F. and N.N.T.; writing—review and editing, A.B.E., E.V.R., D.M.C., R.V.I. and D.A.F.; visualization, M.A.B. and E.V.R.; supervision, A.B.E., D.M.C. and D.A.F.; project administration, A.B.E., D.M.C. and D.A.F.; funding acquisition, A.B.E., D.M.C., R.V.I. and D.A.F. All authors have read and agreed to the published version of the manuscript.

Funding

This work was partially supported by the Ministry of Health of the Russian Federation (state assignment No. 123081000021-2) and the Russian Science Foundation (grant 25-25-20601).

Institutional Review Board Statement

The animal study protocol was approved by the Ethics Committee of the Federal State Budgetary Institution, the V.K. Gusak Institute of Emergency and Reconstructive Surgery of the Ministry of Health of the Russian Federation (protocol No. 3; 23 November 2023).

Informed Consent Statement

Not applicable.

Data Availability Statement

The original contributions presented in this study are included in the article/Supplementary Material. Further inquiries can be directed to the corresponding author(s).

Acknowledgments

The authors are thankful to Nikolaj A. Turovskij for his constructive feedback and essential suggestions that enhanced the quality of this research.

Conflicts of Interest

The authors declare no conflicts of interest.

Abbreviations

The following abbreviations are used in this manuscript:
ABA4-[4-(2-Aminoethoxy)benzyl]aniline
AIFApoptosis-Inducing Factor
BDEBond Dissociation Energy
CATCatalase
DMSODimethyl Sulfoxide
DTNB5,5′-Dithiobis-2-nitrobenzoic Acid
DFTDensity Functional Theory
EbindBinding Energy
EAElectron Affinity
ELISAEnzyme-Linked Immuno Sorbent Assay
GCRDsGlobal Chemical Reactivity Descriptors
GIAOGauge-Independent Atomic Orbital method
IEIonization Energy
IRInfra Red
ISIschemic Stroke
LPOLipid Peroxidation
MDAMalondialdehyde
mNSSModified Neurological Severity Scores
NADPHNicotinamide Adenine Dinucleotide Phosphate
NGBNeuroglobin
NMRNuclear Magnetic Resonance
Nrf2Nuclear Factor Erythroid 2-related Factor 2
OSOxidative Stress
PARP1Poly(ADP-ribose) Polymerase 1
PCMPolarizable Continuum Model
RCCARight Common Carotid Artery
ROSReactive Oxygen Species
TBAThiobarbituric Acid
TMSTetramethylsilane
TBARSProducts Actively Reacting with Thiobarbituric Acid
T0AMThyronamine
T1AM3-Iodothyronamine
ZPCZero-point Energy Correction

References

  1. Kamal, F.Z.; Lefter, R.; Jaber, H.; Balmus, I.-M.; Ciobica, A.; Iordache, A.-C. The Role of Potential Oxidative Biomarkers in the Prognosis of Acute Ischemic Stroke and the Exploration of Antioxidants as Possible Preventive and Treatment Options. Int. J. Mol. Sci. 2023, 24, 6389. [Google Scholar] [CrossRef] [PubMed]
  2. Gulcin, İ. Antioxidants: A comprehensive review. Arch. Toxicol. 2025, 99, 1893–1997. [Google Scholar] [CrossRef] [PubMed]
  3. Park, J.H.; Lee, T.K.; Kim, D.W.; Ahn, J.H.; Lee, C.H.; Kim, J.D.; Shin, M.C.; Cho, J.H.; Lee, J.C.; Won, M.H.; et al. Astaxanthin Confers a Significant Attenuation of Hippocampal Neuronal Loss Induced by Severe Ischemia-Reperfusion Injury in Gerbils by Reducing Oxidative Stress. Mar. Drugs 2022, 20, 267. [Google Scholar] [CrossRef] [PubMed]
  4. Wang, X.; Li, H.; Wang, G.; He, Z.; Cui, X.; Song, F.; Li, J.; Zhang, L. Therapeutic and preventive effects of astaxanthin in ischemic stroke. Front. Nutr. 2024, 11, 1441062. [Google Scholar] [CrossRef]
  5. Sugawara, T.; Lewén, A.; Gasche, Y.; Yu, F.; Chan, P.H. Overexpression of SOD1 protects vulnerable motor neurons after spinal cord injury by attenuating mitochondrial Cytochrome C release. FASEB J. 2002, 16, 1997–1999. [Google Scholar] [CrossRef]
  6. Keller, J.N.; Kindy, M.S.; Holtsberg, F.W.; St Clair, D.K.; Yen, H.C.; Germeyer, A.; Steiner, S.M.; Bruce-Keller, A.J.; Hutchins, J.B.; Mattson, M.P. Mitochondrial manganese superoxide dismutase prevents neural apoptosis and reduces ischemic brain injury: Suppression of peroxynitrite production, lipid peroxidation, and mitochondrial dysfunction. J. Neurosci. Off. J. Soc. Neurosci. 1998, 18, 687–697. [Google Scholar] [CrossRef] [PubMed]
  7. Jurcau, A.; Simion, A. Oxidative Stress in the Pathogenesis of Alzheimer’s Disease and Cerebrovascular Disease with Therapeutic Implications. CNS Neurol. Disord. Drug Targets 2020, 19, 94–108. [Google Scholar] [CrossRef]
  8. Paul, S.; Candelario-Jalil, E. Emerging neuroprotective strategies for the treatment of ischemic stroke: An overview of clinical and preclinical studies. Exp. Neurol. 2021, 335, 113518. [Google Scholar] [CrossRef]
  9. Zhong, C.; Yin, C.; Niu, G.; Ning, L.; Pan, J. MicroRNA miR-497 is closely associated with poor prognosis in patients with cerebral ischemic stroke. Bioengineered 2021, 12, 2851–2862. [Google Scholar] [CrossRef]
  10. Raevsky, O.A. Molecular structure descriptors in the computer-aided design of biologically active compounds. Russ. Chem. Rev. 1999, 68, 505–524. [Google Scholar] [CrossRef]
  11. Vijayaraj, R.; Subramanian, V.; Chattaraj, P.K. Comparison of Global Reactivity Descriptors Calculated Using Various Density Functionals: A QSAR Perspective. J. Chem. Theory Comput. 2009, 5, 2744–2753. [Google Scholar] [CrossRef] [PubMed]
  12. Chiellini, G.; Nesi, G.; Digiacomo, M.; Malvasi, R.; Espinoza, S.; Sabatini, M.; Frascarelli, S.; Laurino, A.; Cichero, E.; Macchia, M.; et al. Design, Synthesis, and Evaluation of Thyronamine Analogues as Novel Potent Mouse Trace Amine Associated Receptor 1 (mTAAR1) Agonists. J. Med. Chem. 2015, 58, 5096–5107. [Google Scholar] [CrossRef]
  13. Eresko, A.B.; Raksha, E.V.; Filimonov, D.A.; Muratov, A.V.; Voitash, A.A.; Trubnikova, N.N. Structural Analogues of Thyronamines. Experimental and DFT-Calculated 1H NMR Chemical Shifts of 4-[4-(2-Aminoethoxy)benzyl]aniline. Rus. J. Org. Chem. 2024, 60, 1654–1662. [Google Scholar] [CrossRef]
  14. Schaar, K.L.; Brenneman, M.M.; Savitz, S.I. Functional assessments in the rodent stroke model. Exp. Trans. Stroke Med. 2010, 2, 13. [Google Scholar] [CrossRef] [PubMed]
  15. Neese, F.; Wennmohs, F.; Becker, U.; Riplinger, C. The ORCA quantum chemistry program package. J. Chem. Phys. 2020, 152, 224108. [Google Scholar] [CrossRef]
  16. Becke, A.D. Density-Functional Thermochemistry. III. The Role of Exact Exchange. J. Chem. Phys. 1993, 98, 5648–5652. [Google Scholar] [CrossRef]
  17. Lee, C.; Yang, W.; Parr, R.G. Development of the Colle-Salvetti Correlation-Energy Formula into a Functional of the Electron Density. Phys. Rev. B 1988, 37, 785–789. [Google Scholar] [CrossRef]
  18. Lee, T.J.; Taylor, P.R. A diagnostic for determining the quality of single-reference electron correlation methods. Int. J. Quantum Chem. 1989, 36, 199–207. [Google Scholar] [CrossRef]
  19. Medvedev, M.G.; Bushmarinov, I.S.; Sun, J.; Perdew, J.P.; Lyssenko, K.A. Density functional theory is straying from the path toward the exact functional. Science 2017, 355, 49–52. [Google Scholar] [CrossRef] [PubMed]
  20. Nolasco, M.M.; Vaz, P.D.; Serrano, R.A.F.; Martins, J.T.; Araújo, C.F.; Ribeiro-Claro, P. Computational spectroscopy for crystalline materials: From structure to properties. CrystEngComm 2025, 27, 4231–4242. [Google Scholar] [CrossRef]
  21. Wolinski, K.; Hilton, J.F.; Pulay, P. Efficient implementation of the gauge-independent atomic orbital method for NMR chemical shift calculations. J. Am. Chem. Soc. 1990, 112, 8251–8260. [Google Scholar] [CrossRef]
  22. Muller, P. Glossary of terms used in physical organic chemistry (IUPAC Recommendations 1994). Pure Appl. Chem. 1994, 66, 1077–1184. [Google Scholar] [CrossRef]
  23. Grimme, S.; Ehrlich, S.; Goerigk, L. Effect of the damping function in dispersion corrected density functional theory. J. Comput. Chem. 2011, 32, 1456–1465. [Google Scholar] [CrossRef] [PubMed]
  24. Grimme, S.; Antony, J.; Ehrlich, S.; Krieg, H. A consistent and accurate ab initio parametrization of density functional dispersion correction (DFT-D) for the 94 elements H-Pu. J. Chem. Phys. 2010, 132, 154104. [Google Scholar] [CrossRef] [PubMed]
  25. MarvinSketch 14.7.14.0. Available online: http://www.chemaxon.com (accessed on 10 February 2026).
  26. Orlowski, P.; Chappell, M.; Park, C.S.; Grau, V.; Payne, S. Modelling of pH dynamics in brain cells after stroke. Interface Focus 2011, 1, 408–416. [Google Scholar] [CrossRef]
  27. Zha, X.M.; Xiong, Z.G.; Simon, R.P. pH and proton-sensitive receptors in brain ischemia. J. Cereb. Blood Flow Metab. 2022, 42, 1349–1363. [Google Scholar] [CrossRef] [PubMed]
  28. Theparambil, S.M.; Hosford, P.S.; Ruminot, I.; Kopach, O.; Reynolds, J.R.; Sandoval, P.Y.; Rusakov, D.A.; Barros, L.F.; Gourine, A.V. Astrocytes regulate brain extracellular pH via a neuronal activity-dependent bicarbonate shuttle. Nat. Commun. 2020, 11, 5073. [Google Scholar] [CrossRef]
  29. Cichocka, M.; Kozub, J.; Urbanik, A. PH Measurements of the Brain Using Phosphorus Magnetic Resonance Spectroscopy ((31)PMRS) in Healthy Men—Comparison of Two Analysis Methods. Pol. J. Radiol. 2015, 80, 509–514. [Google Scholar] [CrossRef] [PubMed]
  30. Pignataro, G.; Simon, R.P.; Xiong, Z.G. Prolonged activation of ASIC1a and the time window for neuroprotection in cerebral ischaemia. Brain J. Neurol. 2007, 130, 151–158. [Google Scholar] [CrossRef] [PubMed]
  31. Eresko, A.B.; Raksha, E.V.; Filimonov, D.A.; Trubnikova, N.N.; Kisilenko, I.A.; Chudoba, D.M. Structural Analogues of Thyronamines: Some Aspects of the Structure and Bioactivity of 4-[4-(2-Aminoetoxy)benzyl]aniline. Chem. Proc. 2024, 16, 22. [Google Scholar] [CrossRef]
  32. Fleming, I. Molecular Orbitals and Organic Chemical Reactions; John Wiley & Sons: Hoboken, NJ, USA, 2009; ISBN 978-0-470-74659-2. [Google Scholar]
  33. Del Bene, J.E.; Jordan, M.J.T. Vibrational Spectroscopic and NMR Properties of Hydrogen-Bonded Complexes:  Do They Tell Us the Same Thing? J. Am. Chem. Soc. 2000, 122, 4794–4797. [Google Scholar] [CrossRef]
  34. Tolstoy, P.M.; Tupikina, E.Y. IR and NMR Spectral Diagnostics of Hydrogen Bond Energy and Geometry. In Spectroscopy and Computation of Hydrogen-Bonded Systems; Wójcik, M.J., Ozaki, Y., Eds.; Wiley-VCH GmbH: Weinheim, Germany, 2002; pp. 345–407. [Google Scholar] [CrossRef]
  35. Gibson, E.K.; Winfield, J.M.; Muir, K.W.; Carr, R.H.; Eaglesham, A.; Gavezzotti, A.; Parker, S.F.; Lennon, D. A structural and spectroscopic investigation of the hydrochlorination of 4-benzylaniline: The interaction of anhydrous hydrogen chloride with chlorobenzene. Phys. Chem. Chem. Phys. 2009, 11, 288–297. [Google Scholar] [CrossRef] [PubMed]
  36. Gencarelli, M.; Lodovici, M.; Bellusci, L.; Raimondi, L.; Laurino, A. Redox Properties of 3-Iodothyronamine (T1AM) and 3-Iodothyroacetic Acid (TA1). Int. J. Mol. Sci. 2022, 23, 2718. [Google Scholar] [CrossRef]
  37. D’Alessandro, N.; Bianchi, G.; Fang, X.; Jin, F.; Schuchmann, H.-P.; von Sonntag, C. Reaction of superoxide with phenoxyl-type radicals. J. Chem. Soc. Perkin Trans. 2 2000, 9, 1862–1867. [Google Scholar] [CrossRef]
  38. Winterbourn, C.C.; Kettle, A.J. Radical-radical reactions of superoxide: A potential route to toxicity. Biochem. Biophys. Res. Commun. 2003, 305, 729–736. [Google Scholar] [CrossRef] [PubMed]
  39. Sakurai, Y.; Yamaguchi, S.; Yamashita, T.; Lu, Y.; Kuwabara, K.; Yamaguchi, T.; Miyake, Y.; Kanaori, K.; Watanabe, S.; Tajima, K. Mechanisms Associated with Superoxide Radical Scavenging Reactions Involving Phenolic Compounds Deduced Based on the Correlation between Oxidation Peak Potentials and Second-Order Rate Constants Determined Using Flow-Injection Spin-Trapping EPR Methods. J. Agric. Food Chem. 2024, 72, 16018–16031. [Google Scholar] [CrossRef] [PubMed]
  40. Akimov, M.G.; Dudina, P.V.; Fomina-Ageeva, E.V.; Gretskaya, N.M.; Bosaya, A.A.; Tsetlin, V.I.; Bezuglov, V.V.; Rudakova, E.V.; Makhaeva, G.F.; Kagarlitsky, G.O.; et al. Neuroprotective and antioxidant activity of arachidonoyl choline, its bis-quaternized analogues and other acylcholines. Dokl. Biochem. Biophys. 2020, 491, 93–97. [Google Scholar] [CrossRef] [PubMed]
  41. Krugovov, D.A.; Mengele, E.A.; Kasaikina, O.T. Acetylcholine as a catalyst of hydroperoxide decomposition to free radicals. Russ. Chem. Bull. 2014, 63, 1837–1842. [Google Scholar] [CrossRef]
  42. Potapova, N.V.; Kasaikina, O.T.; Berezin, M.P. Supramolecular Catalysts for the Radical Destruction of Hydroperoxides Based on Choline Derivatives. Kinet. Catal. 2023, 64, 67–73. [Google Scholar] [CrossRef]
  43. Turovskij, N.A.; Berestneva, Y.V.; Raksha, E.V.; Zubritskij, M.Y.; Grebenyuk, S.A. NMR study of the complex formation between tert-butyl hydroperoxide and tetraalkylammonium bromides. Monatshefte Chem. 2014, 145, 1443–1448. [Google Scholar] [CrossRef]
  44. Turovskij, N.A.; Berestneva, Y.V.; Raksha, E.V.; Opeida, I.A.; Zubritskij, M.Y. Complex formation of hydroperoxides with Alk4NBr according to NMR spectroscopy data. Russ. Chem. Bull. 2014, 63, 1717–1721. [Google Scholar] [CrossRef]
  45. Turovskij, N.A.; Raksha, E.V.; Berestneva, Y.V. Chemically activated decomposition of arylalkyl hydroperoxides in the presence of tetraalkylammonium bromides. In Hydroperoxide Properties, Uses and Reactions; Aubin, V., Ed.; Nova Science Publishers Inc.: New York, NY, USA, 2020; Chapter 4; pp. 89–122. [Google Scholar]
  46. Navasardyan, M.A.; Bezzubov, S.I.; Medvedev, A.G.; Prikhodchenko, P.V.; Churakov, A.V. Novel peroxosolvates of tetraalkylammonium halides: The first case of layers containing hydrogen-bonded peroxide molecules. CrystEngComm 2022, 24, 38–42. [Google Scholar] [CrossRef]
  47. Giguère, P.A.; Liu, I.D. Kinetics of the thermal decomposition of hydrogen peroxide vapor. Can. J. Chem. 1957, 35, 283–293. [Google Scholar] [CrossRef]
  48. Brouwer, L.; Cobos, C.J.; Troe, J.; Dübal, H.-R.; Crim, F.F. Specific rate constants k(E,J) and product state distributions in simple bond fission reactions. II. Application to HOOH→OH+OH. J. Chem. Phys. 1987, 86, 6171–6182. [Google Scholar] [CrossRef]
  49. Busing, W.R.; Levy, H.A. Crystal and Molecular Structure of Hydrogen Peroxide: A Neutron-Diffraction Study. J. Chem. Phys. 1965, 42, 3054–3059. [Google Scholar] [CrossRef]
  50. Olson, W.B.; Hunt, R.H.; Young, B.W.; Maki, A.G.; Brault, J.W. Rotational constants of the lowest torsional component (0G) of the ground state and lowest torsional component (1G) of the first excited torsional state of hydrogen peroxide. J. Mol. Spectrosc. 1988, 127, 12–34. [Google Scholar] [CrossRef]
  51. Giguere, P.A.; Srinivasan, T.K.K. A Raman study of H2O2 and D2O2 vapor. J. Raman Spectrosc. 1974, 2, 125–132. [Google Scholar] [CrossRef]
  52. Camy-Peyret, C.; Flaud, J.-M.; Johns, J.W.C.; Noel, M. Torsion-vibration interaction in H2O2: First high-resolution observation of ν3. J. Mol. Spectrosc. 1992, 155, 84–104. [Google Scholar] [CrossRef]
Figure 1. Chemical structures of biogenic thyronamines T0AM and T1AM, as well as their synthetic structural analog ABA (Figure S1). The NH2 group in the ABA molecule bonded with the alkyl radical is marked in green, while the one bonded with the aryl moiety is marked in violet.
Figure 1. Chemical structures of biogenic thyronamines T0AM and T1AM, as well as their synthetic structural analog ABA (Figure S1). The NH2 group in the ABA molecule bonded with the alkyl radical is marked in green, while the one bonded with the aryl moiety is marked in violet.
Antioxidants 15 00256 g001
Figure 2. Boxplots showing antioxidant activity in the intact and ischemic hemispheres in control and ABA treatment. SOD—superoxide dismutase, GPx—glutathione peroxidase, TBARS—thiobarbituric acid reactive substances, µmol/min * mg—specific activity of the enzyme (the amount of enzyme in mg capable of converting 1 µmol of substrate in 1 min under standard conditions).
Figure 2. Boxplots showing antioxidant activity in the intact and ischemic hemispheres in control and ABA treatment. SOD—superoxide dismutase, GPx—glutathione peroxidase, TBARS—thiobarbituric acid reactive substances, µmol/min * mg—specific activity of the enzyme (the amount of enzyme in mg capable of converting 1 µmol of substrate in 1 min under standard conditions).
Antioxidants 15 00256 g002
Figure 3. Results of the mNSS test on days 1, 3 and 7 after acute cerebral ischemia in control and ABA treatment.
Figure 3. Results of the mNSS test on days 1, 3 and 7 after acute cerebral ischemia in control and ABA treatment.
Antioxidants 15 00256 g003
Figure 4. The chemical species distribution for ABA at different pH levels.
Figure 4. The chemical species distribution for ABA at different pH levels.
Antioxidants 15 00256 g004
Figure 5. Calculated lowest-energy geometries of the ABA in neutral and protonated states, as well as a supermolecular solvation model of protonated ABA with one molecule of DMSO added explicitly into computational space at the stages of geometry optimization and calculation of 1H NMR chemical shifts of ABA. All calculations are carried out at the B3LYP/6-31G(d,p) level using the PCM scheme to take into account the nonspecific solvent effects of DMSO.
Figure 5. Calculated lowest-energy geometries of the ABA in neutral and protonated states, as well as a supermolecular solvation model of protonated ABA with one molecule of DMSO added explicitly into computational space at the stages of geometry optimization and calculation of 1H NMR chemical shifts of ABA. All calculations are carried out at the B3LYP/6-31G(d,p) level using the PCM scheme to take into account the nonspecific solvent effects of DMSO.
Antioxidants 15 00256 g005
Figure 6. Calculated lowest-energy geometries of the ABA-H+ complexes with the H2O2 molecule. All calculations are carried out at the B3LYP/6-31G(d,p) level with dispersion correction.
Figure 6. Calculated lowest-energy geometries of the ABA-H+ complexes with the H2O2 molecule. All calculations are carried out at the B3LYP/6-31G(d,p) level with dispersion correction.
Antioxidants 15 00256 g006
Table 1. Oxidative stress markers in the intact and ischemic cerebral hemispheres of rats (n = 20 in each group) 24 h after cerebral ischemia.
Table 1. Oxidative stress markers in the intact and ischemic cerebral hemispheres of rats (n = 20 in each group) 24 h after cerebral ischemia.
HemisphereMarkerGroupMedianIQR
IntactGPx, µmol/min * mgABA13731351
Control190632
SOD, unitsABA72.536.5
Control6024
TBARS, µmolABA1.51.01
Control0.440.1
IshemicGPx, µmol/min * mgABA12621167
Control246666
SOD, unitsABA66.515.2
Control5611.2
TBARS, µmolABA0.340.12
Control0.70.57
Note: IQR—interquartile range; GPx—glutathione peroxidase; SOD—superoxide dismutase; TBARS—thiobarbituric acid–reactive substances.
Table 2. Neurological deficit scores (mNSS) in rats (n = 6 in each group) after cerebral ischemia.
Table 2. Neurological deficit scores (mNSS) in rats (n = 6 in each group) after cerebral ischemia.
DayGroupMedianIQR
Day 1ABA11.5
Control30.75
Sham10.75
Day 3ABA10
Control22.25
Sham11.5
Day 7ABA0.51.75
Control20.75
Sham11.5
Note: IQR—interquartile range.
Table 3. Molecular geometry, electronic structure and global reactivity descriptors of ABA, ABA-H+, and DMSO…ABA-H+ species at the B3LYP/6-31G(d,p)/PCM level.
Table 3. Molecular geometry, electronic structure and global reactivity descriptors of ABA, ABA-H+, and DMSO…ABA-H+ species at the B3LYP/6-31G(d,p)/PCM level.
ParametersABAABA-H+DMSO…ABA-H+
Global reactivity
IEadiabatic, eV5.055.124.84
IEvertical, eV5.375.465.23
EAadiabatic, eV−0.41−0.66−0.55
EAvertical, eV−0.21−0.45−0.34
η, eV2.732.892.70
S, eV0.180.170.19
Electronic structure
EHOMO, eV−5.39−5.46−5.23
ELUMO, eV−0.12−0.36−0.28
Egap, eV5.275.104.95
μ, D1.4430.5434.31
q(N14), e−0.676−0.676−0.710
q(N18), e−0.631−0.525−0.519
q(O15), e−0.546−0.560−0.561
Molecular geometry
C13–N14, Å1.3981.3971.398
C17–N18, Å1.4651.5051.506
N14–H, Å1.0121.0121.011
1.022
N18–H, Å1.0191.0251.025
α, °62.590.359.5
β, °−1.9−91.4−4.5
γ, °61.4179.954.6
Harmonic vibrations *
sym stretching (NH2)ar, cm−1355735573401
sym stretching (NH2)alk, cm−1347834283417
asym stretching (NH2)ar, cm−1365836583627
asym stretching (NH2)alk, cm−135583520
3512
3525
3502
scissoring (NH2)ar, cm−116561672
1654
1685
scissoring (NH2)alk, cm−116631674
1670
1674
wagging (NH2)ar, cm−1622627732
stretching (N–C)alk, cm−1114410151068
stretching (N–C)ar, cm−1130913121324
torsions (NH2)ar, cm−1302304-
torsions (NH2)alk, cm−1325283271
NMR 1H chemical shifts
δ (NH2)ar, ppm3.063.064.51
δ (NH2)alk, ppm0.674.745.03
* Notes: Calculated wavenumbers are listed without any scale factors; atom numbering corresponds to that on Figure 5.
Table 4. Binding energies of the hydrogen peroxide with protonated thyronamine ABA-H+ and strength of the peroxide bond at the B3LYP/6-31G(d,p) level.
Table 4. Binding energies of the hydrogen peroxide with protonated thyronamine ABA-H+ and strength of the peroxide bond at the B3LYP/6-31G(d,p) level.
ParametersH2O2Complex 1Complex 2
Ebind, kJ·mol−1-−53.8−624.7
ΔGbind, kJ·mol−1-−8.9−534.8
BDEO-O, kJ·mol−1201.3 *201.1198.6
* Note: Activation energy of H2O2 radical decomposition is 201 ± 12 kJ·mol−1 in vapor [47,48].
Table 5. Parameters of the molecular structure of hydrogen peroxide and its complex with protonated thyronamine ABA-H+ at the B3LYP/6-31G(d,p) level with dispersion correction.
Table 5. Parameters of the molecular structure of hydrogen peroxide and its complex with protonated thyronamine ABA-H+ at the B3LYP/6-31G(d,p) level with dispersion correction.
ParametersH2O2
Experimental
[49,50,51,52]
*H2O2*Complex 1*Complex 2
lO-O, Å1.453 ± 0.0071.4561.4571.455
lO-H, Å0.988 ± 0.0050.9710.9731.001
0.971
∠HOO, °102.7 ± 0.399.8101.0101.3
101.2
∠HOOH, °90.2 ± 0.6118.6112.0−88.9
d (NH…O), Å--2.31
2.39
1.98
2.70
d (N…O), Å--2.812.79
∠ (N–H…O), °--109.0
103.2
133.9
73.6
d (OH…Cl), Å---2.11
∠ (O–H… Cl), °---159.6
d (NH…Cl), Å---1.82
∠ (N–H… Cl), °---163.7
stretching (O–O), cm−1864955948952
stretching (O–H), cm−136183763
3764
3750
3723
3766
3214
bending (O–O–H), cm−113931444
1314
1420
1320
1467
1366
torsion (H–O–O–H), cm−1-351524
290
240
233
sym stretching (NH3), cm−1--3407-
asym stretching (NH3), cm−1--3507
3466
3528
3326
2137
bending (NH3), cm−1--1660
1688
1614
1658
torsion (NH3), cm−1 -255460
bending (N–H…O), cm−1-- 1177
bending (O–H…Cl), cm−1---904
* Note: Wavenumbers are listed without any scale factors.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Filimonov, D.A.; Eresko, A.B.; Trubnikova, N.N.; Kisilenko, I.A.; Belotserkovskaya, M.A.; Raksha, E.V.; Ishchenko, R.V.; Chudoba, D.M. Structural Descriptors and Antioxidant Activity Markers of 4-[4-(2-Aminoethoxy)benzyl]aniline. Antioxidants 2026, 15, 256. https://doi.org/10.3390/antiox15020256

AMA Style

Filimonov DA, Eresko AB, Trubnikova NN, Kisilenko IA, Belotserkovskaya MA, Raksha EV, Ishchenko RV, Chudoba DM. Structural Descriptors and Antioxidant Activity Markers of 4-[4-(2-Aminoethoxy)benzyl]aniline. Antioxidants. 2026; 15(2):256. https://doi.org/10.3390/antiox15020256

Chicago/Turabian Style

Filimonov, Dmitry A., Alexander B. Eresko, Nadezhda N. Trubnikova, Irina A. Kisilenko, Margarita A. Belotserkovskaya, Elena V. Raksha, Roman V. Ishchenko, and Dorota M. Chudoba. 2026. "Structural Descriptors and Antioxidant Activity Markers of 4-[4-(2-Aminoethoxy)benzyl]aniline" Antioxidants 15, no. 2: 256. https://doi.org/10.3390/antiox15020256

APA Style

Filimonov, D. A., Eresko, A. B., Trubnikova, N. N., Kisilenko, I. A., Belotserkovskaya, M. A., Raksha, E. V., Ishchenko, R. V., & Chudoba, D. M. (2026). Structural Descriptors and Antioxidant Activity Markers of 4-[4-(2-Aminoethoxy)benzyl]aniline. Antioxidants, 15(2), 256. https://doi.org/10.3390/antiox15020256

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop