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Article

Metallomic Approach to Mercury and Selenium in the Liver Tissue of Psectrogaster amazonica and Raphiodon vulpinus from the Brazilian Amazon

1
School of Veterinary Medicine and Animal Science, São Paulo State University (UNESP), Botucatu 18618-681, SP, Brazil
2
Institute of Biosciences, São Paulo State University (UNESP), Botucatu 18618-693, SP, Brazil
3
Wolfgang C. Pfeiffer Environmental Biogeochemistry Laboratory, Federal University of Rondônia, Porto Velho 76801-974, RO, Brazil
4
College of Planaltina, University of Brasília (UNB), Planaltina 70842-970, DF, Brazil
5
Department of Biochemistry, Bauru School of Dentistry, University of São Paulo (USP), Bauru 17012-901, SP, Brazil
6
School of Medicine, Louisiana State University Health Sciences Center (LSUHSC), New Orleans, LA 70112, USA
*
Author to whom correspondence should be addressed.
Int. J. Mol. Sci. 2024, 25(22), 11946; https://doi.org/10.3390/ijms252211946
Submission received: 7 October 2024 / Revised: 30 October 2024 / Accepted: 4 November 2024 / Published: 7 November 2024
(This article belongs to the Special Issue Toxicity of Heavy Metal Compounds)

Abstract

:
This paper reports the results of a mercury (Hg) and selenium (Se) metallomic study in the liver tissues of Psectrogaster amazonica and Raphiodon vulpinus from the Brazilian Amazon. Two-dimensional electrophoresis, graphite furnace atomic absorption spectrometry, and liquid chromatography-tandem mass spectrometry were performed. Hg and Se determinations allowed the calculation of Hg:Se and Se:Hg molar ratio and Se values for health benefits (Se HBVs). The Se:Hg values were >1 for both fish species, whereas the Se HBVs were >5 for P. amazonica and >10 for R. vulpinus, indicating that both possess Se reserves to control Hg toxicity. The metallomic data allowed the identification of 11 Hg/Se-associated protein spots in the two fish species, with concentrations in the range of 9.70 ± 0.14 and 28.44 ± 0.31 mg kg−1 of Hg and 16.15 ± 0.21 and 43.12 ± 0.51 mg kg−1 of Se. Five metal binding proteins (MBP) in the Hg/Se-associated protein spots in the liver proteome of P. amazonica and eight in R. vulpinus were identified, indicating the possible formation of Hg/Se complexes on the MBP structures. The activities analysis of catalase, superoxide dismutase, GPx enzymes, and lipoperoxide concentrations demonstrated that Hg-induced oxidative stress did not occur, possibly because both fish species possess Se reserves necessary to inhibit the Hg’s deleterious effects.

1. Introduction

Mercury (Hg) is highly toxic and accumulates throughout the food chain, posing a risk to top consumers such as humans [1]. In the Amazon, both Au mining and natural sources contribute to Hg contamination [2]. Fish consumption is the main source of contamination in traditional populations of the Amazon region, especially those who live in remote areas and depend on fish as their main source of dietary protein [3,4]. Studies have shown a positive correlation between fish consumption and Hg concentrations in the hair and blood of the traditional populations in the Amazon, thereby indicating an increased risk to these populations [5,6]. Furthermore, Hg affects fish health and reproduction, leading to a reduction in fish stocks, and negatively affects the riverine communities [7]. Owing to its antioxidant properties, selenium (Se) has been suggested as a possible contributor to the apparent tolerance of Hg in organisms. The action of Se in the detoxification of organisms in relation to Hg has been extensively reported, indicating that Se can play a crucial role in protecting against the harmful effects of Hg [8,9,10,11]. Specifically, in relation to fish, the literature reports that Se can reduce Hg species toxicity in these organisms because of its greater affinity to Hg compared to sulfur [12,13]. Organisms with a Se:Hg ratio >1 show a reduction in Hg toxic effects [12,14]. Thus, the high binding affinity of Se to Hg may trigger the protective potential of Se, reducing Hg bioavailability and possibly its toxicity to organisms [13].
Although several studies have reported the toxic effects of Hg species on humans and animals, studies that discuss the possible mechanisms of the antagonistic effects of Se on the deleterious effects of Hg are still scarce [15]. Metallomics is a relatively new line of scientific investigation, as it encompasses experimental analytical chemistry strategies along with biochemical strategies and molecular biology, and allows the identification of proteins associated with Hg species in the proteome of different organisms, such as fish [16,17]. In this context, metallomics can generate important information regarding the mechanisms related to the protective effect of Se against Hg toxicity because it allows for the identification of proteins associated with Hg and Se with differences in relative abundance in the studied proteome [18,19].
Thus, we report the results obtained from Hg and Se metallomic studies in the liver tissue of P. amazonica (non-predator species) and R. vulpinus (predator species) Amazonian fish. Both fish species were collected from the Madeira River, Rondonia State, Brazil, a river affected by Hg in recent decades owing to gold mining activities [16].

2. Results and Discussion

2.1. Mercury and Selenium Determination

Hgtotal and Setotal were determined from eight liver tissue and protein pellet samples from P. amazonica and R. vulpinus. In this case, determinations were performed on livers extracted from eight individuals, from which three samples of approximately 100 mg of each liver tissue were separated. After mineralization of the samples, they were quantified using GFAAS according to the procedure described in Section 2.2. For the protein pellets, extraction and precipitation of the protein fraction were carried out in four pools of liver tissue samples. In this case, a pool with samples from individuals with lower concentrations of Hgtotal and Setotal and a pool with samples from individuals with higher concentrations of Hgtotal and Setotal, for the two species of fish, resulted in a total of four pools. The results obtained are summarized in Table 1, Table 2 and Table 3.
The results summarized in Table 1 and Table 2 allow us to separate two groups of individuals for the two fish species depending on their concentrations of Hgtotal and Setotal. In this case, one group had lower concentrations of Hgtotal and Setotal, whereas the other had higher concentrations of Hgtotal and Setotal. Thus, for P. amazonica, the group of individuals 1, 3, 6, 7, 8, and 10 presented lower mean concentrations of Hgtotal and Setotal, in this case, 85.80 ± 2.602 µg kg−1 and 127.6 ± 3.184 µg kg−1, respectively. This group was denoted as Pa-HgSe 1 (<Hgtotal and Setotal concentrations). The group of individuals 2, 4, 5, and 9 of P. amazonica presented average concentrations of 123.1 ± 1.936 µg kg−1 and 150.7 ± 2.800 µg kg−1 of Hgtotal and Setotal, respectively; these concentrations are higher than those of the Pa-HgSe 1 group. This group is denoted as Pa-HgSe 2 (>Hgtotal and Setotal concentrations). In relation to R. vulpinus, the results of the average concentrations of Hgtotal and Setotal also made it possible to assemble two distinct groups. The first was a group of individuals 1, 3, 4, 7, and 10, denominated Rv-HgSe 1, with <Hgtotal and Setotal average concentrations (Hgtotal and Setotal average concentrations = 145.4 ± 7.394 µg kg−1 and 242.7 ± 12.20 µg kg−1, respectively). A second group, denominated Rv-HgSe 2, was made up of individuals 2, 5, 6, 8, and 9 of R. vulpinus, group that presented > Hgtotal and Setotal average concentrations (Hgtotal and Setotal average concentrations = 571.7 ± 46.73 µg kg−1 and 692.7 ± 56.40 µg kg−1, respectively). The Hgtotal and Setotal concentrations allowed the calculation of the molar ratios of Hg:Se and Se:Hg for the four groups of individuals of P. amazonica and R. vulpinus. The average values of the molar ratio Hg:Se and Se:Hg are: Pa-HgSe 1 group (P. amazonica with <Hgtotal and Setotal concentrations)—Hg:Se = 0.27, Se:Hg = 3.8; Pa-HgSe 2 group (P. amazonica with >Hgtotal and Setotal concentrations)—Hg:Se = 0.31, Se:Hg = 3.1; Rv-HgSe 1 group (R. vulpinus with <Hgtotal and Setotal concentrations)—Hg:Se = 0.24, Se:Hg = 4.2; Rv-HgSe 2 group (R. vulpinus with >Hgtotal and Setotal concentrations)—Hg:Se = 0.33, Se:Hg = 3.0. From the average molar ratios of Hg:Se and Se:Hg, Se values for health benefits (Se HBV) were calculated using Equation (1) [13] as follows:
Se HBV = (molar ratio Se:Hg × Se (μmol kg−1)) − (molar ratio Hg:Se × Se (μmol kg−1))
The calculated results for Se HBV were as follows: Pa-HgSe 1 group (P. amazonica with <Hgtotal and Setotal concentration)—Se HBV = 6.04; Pa-HgSe 2 group (P. amazonica with Hgtotal and Setotal concentration)—Se HBV = 5.73; Rv-HgSe 1 group (R. vulpinus with <Hgtotal and Setotal concentration)—Se HBV = 12.73; and Rv-HgSe 2 group (R. vulpinus with <Hgtotal and Setotal concentration)—Se HBV = 25.4. The calculated values for the molar ratio Se:Hg were >1 for the two species of fish, >5 for Se HBV for the two groups of P. amazonica, and >10 for the two groups of R. vulpinus. These results show that the non-carnivorous P. amazonica and carnivorous R. vulpinus have Se reserves (soft bases) in the liver tissue to form bonds with Hg species (soft acids), forming Se-Hg complexes [20,21]. Based on the results obtained for Hgtotal and Setotal determinations in the liver tissue of both P. amazonica and R. vulpinus, the protein fraction was extracted from a pool of liver tissue from the Pa-HgSe 1, Pa-HgSe 2, Rv-HgSe 1, and Rv-HgSe 2 groups, and subsequently Hgtotal and Setotal were determined in the respective protein pellets by GFAAS. These results are summarized in Table 3.
The Hgtotal and Setotal concentrations determined in the protein pellets of Pa-HgSe 1, Pa-HgSe 2, Rv-HgSe 1, and Rv-HgSe 2 groups agreed with the results obtained in the liver tissue samples. In this case, the Hgtotal and Setotal concentrations were higher in the Pa-HgSe 2 and Rv-HgSe 2 groups compared than in the Pa-HgSe 1 and Rv-HgSe 1 groups. Protein pellets obtained from the protein fractions extracted from the pools of the Pa-HgSe 2 and Rv-HgSe 2 groups (groups with >CHgtotal and CSetotal) of the liver proteome of the P. amazonica and R. vulpinus were subjected to 2D PAGE. The results of Hgtotal and Setotal determinations in the certified reference material DOLT-4 (fish liver) showed a recovery percentage of approximately 98% and a relative standard deviation of <2, which proves the robustness of the method used for Hgtotal and Setotal determinations [17,18].

2.2. Liver Proteome Fractionation Using 2D PAGE

The liver proteome fractionation using 2D PAGE was performed on protein pellets extracted from the liver tissue pool of the Pa-HgSe 2 and Rv-HgSe 2 groups (groups chosen for presenting > CHgtotal and CSetotal), with the aim of mapping the presence of Hg and Se in the protein spots [18]. Figure 1 shows an example of a gel obtained from triplicate analysis using 2D PAGE of the liver tissue samples of the Pa-HgSe 2 and Rv-HgSe 2 groups. Hg and Se mapping was performed after acid mineralization of the protein spots and analysis using GFAAS. Proteins associated with Hg and Se were characterized using LC-MS/MS. The results are summarized in Table 4.
The GFAAS determinations (Figure 1A,B, Table 4) indicated four protein spots associated with Hg and Se in the liver proteome of the Pa-HgSe group 2 of P. amazonica, with concentrations ranging from 9.70 to 19.72 mg kg−1 and from 16.15 to 35.44 mg kg−1 for Hg and Se, respectively. In the liver proteome of the R. vulpinus (Rv-HgSe group 2), seven protein spots associated with Hg and Se were identified, with concentrations ranging from 14.35 to 28.44 mg kg−1 and 26.82 to 43.12 mg kg−1, respectively, for Hg and Se.
The results presented in Table 4 show that, in all protein spots associated with Hg, the GFAAS results also indicated the presence of Se. The Hg concentrations were over 50% lower than the Se concentrations. This pattern was similar to the results obtained for the tissues and protein pellets of the liver samples from the two fish species studied. The results of this study corroborate those in the literature, which reported a positive correlation between Hg and Se concentrations in fish from the Tapajos River region, fish from the Brazilian Amazon, and marine fish [8,14]. The positive correlation between Hg and Se can be explained by the formation of [Hg2+]–[Se2−] and [CH3Hg+]2–[Se2−], which can neutralize the deleterious effects of Hg species [13]. The data presented in Table 4 provide new information for this discussion; in this case, the identification of Hg and Se associated with the same protein spots. Studies have identified Hg-associated protein spots in the liver tissues of rats and fish [17,20]; however, the presence of Se has not been investigated in these studies. Thus, based on the data in Table 4, it can be suggested that Hg and Se may be linked to the structures of proteins and/or enzymes, possibly to the thiol group of a cysteine and/or thioether of methionine, forming inert complexes linked to metal binding proteins (MBP) of the type MBP-R-[Hg-Se] or MBP-R2-S-[Hg-Se]. In this case, the R-S-H group (soft base) represents the thiol group of cysteine, and the R2-S-H group (also a soft base) represents the thioether group of methionine in the protein structure. The [Hg-Se] species act as soft acids that bind to thiol and/or thioether groups [21]. Therefore, based on the data obtained in this study, it can be inferred that the Setotal concentrations determined in the liver tissue samples from P. amazonica and R. vulpinus could mitigate the toxic effects of Hg species.

2.3. Characterization of Hg/Se-Associated Protein Spots Using LC-MS/MS

LC-MS/MS analyses were used to identify five proteins and/or enzymes in four Hg/Se-associated protein spots and eight Hg/Se-associated protein spots in the liver proteome of P. amazonica and R. vulpinus, respectively. The results of the characterization of Hg/Se-associated protein spots are summarized in Table 4 too.
Hemoglobin subunits alpha and beta (HbA and HbB) were identified in spots 59 and 60 of the liver tissue of P. amazonica, which presented Hg and Se concentrations ranging from 9 to 17 mg kg−1 and 16 to 33 mg kg−1, respectively. The isoforms of hemoglobin subunits participate in oxygen transport from the gills to various peripheral tissues in fish [18,20]. A recent study by Almeida et al. (2024) [18] characterized HbA and HbB as Hg-binding proteins in the renal tissues of rats exposed to mercuric chloride at concentrations above 100 mg k−1 of Hgtotal. In this study, the authors highlighted that cysteine residues (amino acids that present thiol groups as soft bases) in the structure of Hb isoforms allow the binding of Hg species (soft acids). The results obtained by Almeida et al. (2024) [18] corroborated those obtained by Gibson et al. (2017) [22], who identified the binding of Hg2+ to the hemoglobin structure in rabbit red blood cell lysates using SEC-ICP-AES. Notably, in both studies the authors did not analyze the presence of Se in the tissues studied. Based on the results of these two studies, one hypothesis for the mechanism involved in the binding of Hg and Se in the structure of HbA and HbB is the formation of the R-S-[Se-Hg] complex, where R-S-H represents the thiol group of methionine residues present in the structure of hemoglobin isoforms, as previously discussed (Section 3.2).
Spots 60 and 61 of the liver tissue of P. amazonica, the fatty acid-binding protein_liver (FABP1), and, in spot 61, the isoform fatty acid-binding protein 10-A_liver basic (FABP 10a) were identified. Spots 60 and 61 presented concentrations of 17.24 ± 0.23 and 19.72 ± 0.25 mg kg−1 for Hg, 33.41 ± 0.39 mg kg−1, and 35.44 ± 0.43 mg kg−1 for Se, respectively. One of the main functions of fatty acid-binding proteins (FABPs_liver) is to act as antioxidants against the increase in ROS production caused by xenobiotics in the liver [16,23]. Notably, basic FABPs_L, such as FABP 10a), are found only (so far) in non-mammalian vertebrates [24]. There are numerous isoforms of FABPs; however, all isoforms contain at least one cysteine residue, several methionine residues, and amino acids that contain thiol and thioether groups (soft bases), which may explain the affinity of FABPs for Hg species (soft acids) [21,23]. Metalloproteomic studies of Hg in the liver tissue of fish from the Brazilian Amazon [7,16,25] have reported the identification of FABPs in the liver associated with Hg species; however, the authors did not discuss the effects of Hg species on the functions of FABPS-liver. In this study, FABP1 and FABP 10a isoforms were identified as Hg- and Se-binding proteins, respectively. In this case, it can be suggested that the presence of Se together with Hg possibly forms a Se/Hg-FAPAs_liver-type binding protein; thus, it is reasonable to infer that the presence of Se in the Se/Hg-FAPAs_liver complex could eliminate the possible negative effects of Hg on the functions of FAPAs_liver.
Actin_cytoplasmic 1 (ACTB1) and Actin_alpha skeletal muscle (ACTA1) were identified in spots 69 and 10 of the liver tissue of P. amazonica and R. vulpinus, respectively. In spots 69 and 10, GFAAS determinations indicated concentrations in the ranges of 14–28 and 25–43 mg kg−1 for Hg and Se, respectively. Actin can present different isoforms depending on its monomeric or polymeric forms, and all actin isoforms participate in essential functions in the cytoplasmic cytoskeleton. In the nucleus, actin participates in the regulation of gene transcription, motility, and DNA repair [24]. A metalloproteomic study by Vieira et al. (2023) [17] on the muscle tissue of Cichla sp. from the Brazilian Amazon identified Hg-associated protein spots, in which actin alpha skeletal muscle and actin cytoplasmic 1 and 2 were identified. The authors highlighted that the binding of Hg species to the structure of actin isoforms could trigger changes in the structure of the cytoskeleton, increase intracellular calcium levels, and increase autophagy. Actin isoforms (such as ACTB1 and ACTA1) present cysteine and methionine residues in their structures because they present thiol and thioether groups (soft bases), and can form stable complexes with Hg species (soft acids), as discussed above. In spots 69 and 10, in which ACTB1 and ACTA1 were identified, respectively, the GFAAS analysis results indicated the presence of Se and Hg. Thus, it can be suggested that the possible binding of [Se-Hg] complexes in the structure of ACTB1 and ACTA1 forms metal binding proteins (MBPs), such as Se/Hg-ACTB1 and Se/Hg-ACTA1, and that the presence of Se in MBPs could neutralize the negative effects of the Hg species on the functions that ACTB1 and ACTA1 perform in the cell cytoplasm.
The enzyme superoxide dismutase [Cu-Zn] (SOD1) was identified in spot 1 of the liver tissue of R. vulpinus, a spot that presented 22.11 ± 0.31 mg kg−1 of Hg and 34.82 ± 0.46 mg kg−1 of Se. SOD1 mainly inhibits free radicals produced in cells (free radicals are toxic to biological systems), such as in the process of dismutation of superoxide radicals into molecular oxygen and hydrogen peroxide [16,26]. A metalloproteomic study by Bataglioli et al. (2019) [7] using liver tissue from Arapaima gigas and Bittarello et al. (2020) [16] using kidney tissue from Plagioscion squamosissimus, a predatory species from the Brazilian Amazon, identified SOD1 in Hg-associated protein spots. Notably, the total Hg concentration determined in the protein spot of the liver tissue of Arapaima gigas [7] was 29.70 ± 0.53 mg kg−1, which can be considered close to the value determined in the present study (22.11 ± 0.31 mg kg−1). Both studies [7,16] highlight that the binding of Hg species to the SOD1 structure can cause structural changes, possibly owing to the covalent bond with Hg and the possible release of Cu and Zn responsible for the biological activity of SOD1, which compromises the enzyme activity. The coordination of Zn and Cu in the SOD1 structure occurs by binding to six histidine residues and one aspartate residue, forming a binary complex of Zn and Cu [26]. Considering that histidine and aspartate have amine groups, R-NH2, an intermediate base that coordinates strongly with intermediate acids such as Zn and Cu, and carboxylic acid (R-COOH), a hard base [21], it is unlikely that Hg species (soft acid) could displace Zn and Cu from the structure of SOD 1. However, SOD 1 also contains cysteine and methionine residues in its structure, and the amino acids have thiol and thioether groups (soft bases) that strongly coordinate with Hg species (soft acids). In spot 1 of the liver tissue of R. vulpinus, in which SOD 1 was identified, GFAAS analysis indicated the presence of Hg and Se, a result that has not yet been reported in the literature. Thus, it can be inferred that Se possibly forms a Se/Hg-SOD 1 type complex with thiol and thioether groups present in the enzyme structure. Thus, the formation of the metal binding protein Se/Hg-SOD1 could inhibit the negative action of Hg species on the biological activity of SOD1. This inference corroborates the results of the determination of SOD activity in liver tissue samples of R. vulpinus (results that will be presented in Section 3.4), results that did not present variation between the Rv-HgSe 1 group (R. vulpinus group with <concentration of Hgtotal and Setotal) and the Rv-HgSe 2 group (R. vulpinus group with >concentration of Hgtotal and Setotal).
The enzyme triosephosphate B isomerase (TPI 1B) was identified in spots 4 and 6 of the liver proteome of R. vulpinus, at 24.20 ± 0.26 and 23.12 ± 0.33 mg kg−1 for Hg and 39.20 ± 0.51 and 37.60 ± 0.49 mg kg−1 for Se, respectively. TPI 1B plays a fundamental role in homeostasis because it catalyzes the interconversion of dihydroxyacetone phosphate and D-glyceraldehyde-3-phosphate in the glycolytic and glycogenic pathways and indirectly participates in carbohydrate biosynthesis [17,24]. TBIs have several isoforms that are not associated with the coordination of metal species [24]. However, studies report the identification of Hg-binding proteins in spots of the liver proteome of Arapaima giga [7], Cichla sp, and Brachyplathystoma filamentosum [17] species from the Brazilian Amazon. Both studies highlighted that the coordination of Hg species in the structure of TBIs can be explained by the presence of cysteine and methionine residues (soft bases) in the FASTA sequence of this enzyme, forming a metal binding protein, in this case, Hg-TBs. As TBIs have several specific functions, the association of this enzyme with mercurial species can cause irreversible damage to organisms [17]. Considering that, in the present study, TBI 1 B was identified in spots 4 and 6 of the liver proteome of R. vulpinus, which are associated with Hg and Se, it can be concluded, based on previous reports, that the possible formation of the metal binding protein Se/Hg-TBI 1 B could nullify the negative effects of Hg species on the different functions that TBI 1 B performs in organisms.
Keratin_type II cytoskeletal 8 (KRT8) was identified in spot 26 of the liver tissue of R. vulpinus with a concentration of 14.35 ± 0.21 mg kg−1 of Hg and 26.82 ± 0.31 mg kg−1 of Se. KRT8, together with KRT19, helps link the contractile apparatus to dystrophin in the costameres of the striated muscles. KRT8 is present in the FASTA sequence of several methionine residues, an amino acid which contains thioether groups. Thioether groups are soft bases with a high affinity for soft acids such as Hg species, which may explain the association between Hg and KRT8 [21,24]. Vieira et al. (2015, 2023) [17,27] used metalloproteomic strategies to identify the Hg associated with KRT8 and estimated the ratio of two Hg atoms per KRT8 molecule, which corroborated the data of the present study. Thus, it can be suggested that the metal binding protein Se/Hg-KTR8, due to the coordination of Se, could suppress the negative interference of Hg in the biological functions of HRT8.
The enzymes 4-hydroxy-2-oxoglutarate aldolase_mitochondrial (HOGA), ATP synthase subunit beta_mitochondrial (ATP5F1B), and the protein Intermediate filament protein ON3 (IFP ON3) were identified in spots 8 (CHg = 21.43 ± 0.28 mg kg−1; CSe = 33.73 ± 0.43 mg kg−1), 17 (CHg = 17.32 ± 0.23 mg kg−1; CSe = 31.25 ± 0.41 mg kg−1), and 26 (CHg = 14.35 ± 0.21 mg kg−1; CSe = 26.82 ± 0.31 mg kg−1), respectively. The main function of the HOGA enzyme is to catalyze the final step of the hydroxyproline metabolic pathway in mitochondria [24,28]. ATP5F1B is responsible for the production of ATP from ADP in the presence of a proton gradient across the membrane, which is generated by the electron transport complexes of the respiratory chain [24]. IFP ON3 is a part of a set of cytoplasmic and nuclear cytoskeletal proteins. Intermediate filament proteins adapt to post-translational modifications, adapting and reflecting different functional states of a given cell [29]. To date, metalloproteomic studies on HOGA, ATP5F1B, or IFP ON3 in the presence of Hg and Se have not been reported. Thus, the data reported in this study are pioneering. HOGA, ATP5F1B, and IFP ON3 contain cysteine and/or methionine residues in their FASTA sequences [24]. As previously discussed, cysteine and methionine have a high affinity for Hg and Se. Thus, it can be inferred that Se and Hg can be coordinated to the thiol and/or thioether groups of HOGA, ATP5F1B, and/or IFP ON3, forming Se/Hg-HOGA, Se/Hg-ATP5F1B, and Se/Hg-IFP ON3 complexes. Therefore, the lack of studies reporting the interactions of HOGA, ATP5F1B, and IFP ON3 with Hg and Se reinforces the need for specific studies on these interactions, considering the new insights reported in this study.

2.4. Oxidative Stress Parameters

The antioxidant enzymes, such as CAT, GPx, and SOD, are the first line of defense against the increase in reactive oxygen species in organisms, and their levels were analyzed with the aim of investigating whether Hg concentrations in P. amazonica and R. vulpinus could trigger a state of oxidative stress. The results are summarized in Figure 2 and Table 5.
Analyzing the results in Figure 2, the values related to the SOD, CAT, and GPx activities, and LPO concentration, apparently do not present a correlation with Hgtotal and total concentrations, considering the individuals with the lowest and highest Hgtotal and Setotal concentrations (Table 1 and Table 2) in the P. amazonica and R. vulpinus species. It was possible to observe among the individuals that presented the lowest and/or highest Hgtotal and Setotal concentrations (Table 1 and Table 2) very close maximum and minimum values of CAT, SOD, and GPx activities and LPO concentrations (Figure 2 and Table S1, Supplementary Materials). Spearman’s correlation coefficient (Sp.CC) values, calculated by correlating the lowest concentrations of Hgtotal and Setotal with the activities of CAT, SOD, and GPx, and with LPO concentration (Table 5), followed the same trend, presenting six significant values (p < 0.05) with CCSp values (+) in the range of 0.61 to 0.84 and eight values (−), in the range of −060 to −0.88. Most Sp.CC (+) and/or (−) values were not significant (p ≥ 0.05).
Regarding the LPO concentrations for the two fish species, the groups with <Hgtotal and Setotal concentrations presented significant Sp.CC (+); however, the groups with >Hgtotal and Setotal concentrations presented non-significant Sp.CC. Regarding SOD in P. amazonica, Sp.CC values (+) and significance for groups with <Hgtotal and Setotal concentrations were observed, and Sp.CC values (−) and significance for groups with >Hgtotal and Setotal concentrations. Regarding SOD in R. vulpinus, the Sp.CC values were not significant in either group. The Sp.CC values for CAT were also not significant in any of the groups of P. amazonica and R. vulpinus. As for GPx, in relation to the P. amazonica, Sp.CC values (−) were observed and significant for the groups with >and < Hgtotal and Setotal concentrations, whereas for the R. vulpinus, the Sp.CC values were not significant for the groups with <Hgtotal and Setotal concentrations; however, in relation to the groups with higher concentrations, the Sp.CC values were significant and presented a negative correlation. Bittarello et al. (2020) [16], working with Plagioscion squamosissimus (carnivorous) and Colossoma macropomum (omnivorous) from the Brazilian Amazon, found a trend of greater enzymatic activity and LPO concentration in the liver tissue of Plagioscion squamosissimus, which presented a higher Hg concentration. The calculated Sp.CC values demonstrate only the occurrence of a negative correlation between GPx activity and Hgtotal concentration (Sp.CC = −0.7040, CHgtotal = 279 ± 4.41 µg kg−1), which partially corroborates the data reported in this study. The authors inferred that the inhibition of GPx by Hg could be related to the Hg–selenol interaction. However, in that study, Se determination was not performed in the liver tissue samples of the fish, which would provide greater support for the results obtained. In the present study, Se determination allowed the calculation of HBV Se values, which were five times higher for P. amazonica (non-predatory species, which presented the lowest Hg concentration) and ten-fold higher for R. vulpinus (predatory species, which presented the highest Hg concentration). Thus, the results reported here provide new insights into the influence of Se on the capacity of Hg to generate oxidative species, and the possible triggering of oxidative stress. It should be highlighted that SOD was identified in spot 1 of the liver tissue of R. vulpinus, a spot that showed 22.11 ± 0.31 mg kg−1 of Hgtotal and 34.82 ± 0.46 mg kg−1 of Setotal (Table 5). However, Table 5 shows that there is no significant correlation between SOD activity and Setotal and Hgtotal concentrations for R. vulpinus specie.

3. Material and Methods

3.1. Samples Processing and Collection

Liver tissue samples from 10 fish each of P. amazonica (branquinha) and R. vulpinus (cachorra) were collected and preserved in liquid nitrogen in the Jirau Hydroelectric Plant reservoir in the Rondonia state of Brazil. The collection points were: (a) (S 09°47′18.3″; W 065°31′12.4″), (b) S 09° 41′0.06″; WE 064° 58′43.9″, and (c) S 09°16′12.8″; W 064°41′14″), located on the Madeira River [16,20]. The fish were collected considering the size and weight of the species after approval by Chico Mendes Institute for Biodiversity Conservation and Authorization and Information System on Biodiversity (ICMBio; Ref. SISBIO 43890-1) and the Committee on Ethics in the Use of Animals—UNESP (CEUA-UNESP), protocol number no 0316/2023. The fish were captured with meshes by a team of biologists from Empresa ESBR (Empresa Energia Sustentável do Brasil), euthanized by myelotomy to perform biometry, and tissue samples were collected [7,16].

3.2. Hg and Se Determinations

Hg and total Se (Hgtotal and Setotal) in the liver tissue samples, pellets, and protein bands were determined using graphite furnace atomic absorption spectrometry (GFAAS), according to the procedure described by Silva et al. (2007) and Vieira et al. (2023) [17,30]. The samples were mineralized using a mixture of 70% (m/m) nitric acid (J Backer) with a 0.05 mol L−1 potassium permanganate (Merck, Rahway, NJ, USA), solution and heating at 120 °C in a digester block until a slightly yellowish transparent extract was obtained. After the mineralization process, the extracts were transferred to 5.00 mL volumetric flasks, and the volumes were adjusted with ultrapure water (18.2 MΩ cm). In the analysis stage, to maintain the Hg and Se thermal stabilization at the atomization temperature in the graphite furnace, a combination of 1000 mg L−1 sodium tungstate solution (Merck, Rahway, NJ, USA) was used as a permanent chemical modifier and 100 mg L−1 zirconium chloride (Sigma-Aldrich, San Louis, MO, USA) as a chemical modifier, and co-injected with the sample and/or standard solution into the graphite tube of the spectrometer [18,20]. The measurements were performed using a SHIMADZU AA-6800 atomic absorption spectrometer (Osaka, Japan) equipped with a background corrector with a self-reverse system and a deuterium lamp, a pyrolytic graphite tube with an integrated platform, and an AS6100 automatic sampler. All Hgtotal and Setotal determinations were validated by analyzing the National Research Council of Canada (NRC) DOLT 4 (fish liver) certified reference material. Based on the data obtained from the Hgtotal and Setotal determinations in the liver tissue samples, the ratios of Hg:Se and Se:Hg, and Se values for health benefits (Se HBVs) were calculated [13].

3.3. Liver Proteome Fractionation Using 2D PAGE

Liver proteome fractionation of P. amazonica and R. vulpinus was performed using 2D PAGE. For this purpose, sample pools were assembled based on the Hg and Se concentrations per individual for both fish species. Thus, based on the Hgtotal and Setotal concentrations per individual, the two groups of pools were elaborated in increasing order of concentration (group 1: lowest Hg and Se concentrations and group 2: highest Hg and Se concentrations) for the two fish species. Protein fraction extraction using the liver tissue samples was carried out with Tris-HCl buffer pH 8.80 under denaturing conditions according to the procedure described by Bataglioli et al. (2019) [7], using an OMNI/analytic cell disruptor (Kennesaw, GA, USA). To remove concomitants of the protein extracts that could interfere with the proteome fractionation process, and also more abundant proteins of no interest in the metalloproteomic study (such as albumin), the fractional precipitation strategy was used [7,27]. Initially, an ethanol–chloroform (Merck, Rahway, NJ, USA) mixture (12.5:1 v/v) was used to precipitate proteins with higher molecular mass greater than 90 kDa and more abundant proteins (such as albumin) [7,17,27]. Subsequently, the supernatant (protein extract with proteins of molecular mass less than 90 kDa and with low albumin content) was separated by centrifugation, and ice-cold 80% (v/v) acetone solution (Merck, Rahway, NJ, USA) at a ratio of 1:4 (sample:acetone) was added to obtain protein pellets with molecular mass less than 90 kDa and with low albumin content [16,17]. The experimental procedures for liver proteome fractionation using 2D PAGE are briefly described as follows: first was the isoelectric focusing (IEF) step, in which the fractionation of proteins occurs by the isoelectric point (pI). Protein pellets obtained during the precipitation process were solubilized in denaturing and reducing solutions [7,16]. Three 13 cm IEF strips (pH gradient 3 to 10, Amersham Biosciences, Amersham, UK) were hydrated with 250 µL of protein extracts (obtained from the solubilization of protein pellets and diluted to contain 375 µg of protein) in their respective channels, in the hydration box and covered with mineral oil to prevent evaporation of the sample solution [7,16,17]. The hydration box was closed and maintained at room temperature for 12 h. After proper hydration, the strips were transferred to the Amersham Biosciences EPS 1001 isoelectric focusing system (Uppsala, Sweden) for the first-dimension electrophoretic run using the procedure described by Bataglioli et al. (2019) and Bittarello et al. (2020) [7,16]. The running time was 4.5 h. After the isoelectric focusing step, the IEF strips were rehydrated with two solutions. First, 12 mL of a solution containing 6 mol L−1 urea (Amersham Biosciences, Amersham, UK), 2% (m/v) sodium dodecyl sulfate (Amersham Biosciences, Amersham, UK), 30% (v/v) glycerol (Merck, Rahway, NJ, USA), 50 mmol L−1 Tris-HCl pH 8.8 (Amersham Biosciences, Amersham, UK) 0.002%, and bromophenol blue (Amersham Biosciences, Amersham, UK) was used. Additionally, 2% (m/v) dithiothreitol (DTT, J.T. Backer, Phillipsburg, NJ, USA) was used to maintain proteins in denatured and reduced forms. Subsequently, a solution similar to the previous one, but with DTT replaced by 2.50% (m/v) iodoacetamide (Amersham Biosciences, Amersham, UK), was used to promote the alkylation of the thiol groups and prevent the reoxidation of the proteins. The contact time between the two solutions and IEF strips under slight agitation on a shaking table was 15 min. Then, the second stage of the 2D PAGE was run, in which protein fractionation occurs as a function of the molecular mass; this was performed using the GE Healthcare Ettan™ DALT six 2D PAGE system (Uppsala, Sweden) and the experimental conditions described by Bittarello et al. 2020 and Santiago et al. 2023 [16,20]. At the end of the 2D PAGE runs, the proteins were fixed in gels using a solution containing 10% (v/v) acetic acid (J.T. Backer, Phillipsburg, NJ, USA) and 40% (v/v) ethanol, and the protein spots were visualized using colloidal Coomassie dye (Amersham Biosciences, Amersham, UK). After the protein spots were revealed, the gels were scanned, and the images were analyzed using the ImageMaster 2D Platinum 7.0 software and the procedures described by Santiago et al. 2023 [20].

3.4. Characterization of Hg/Se-Linked Protein Spots Using LC-MS/MS

Hg/Se-linked protein spots were extracted from the gels with the aid of a scalpel, cut into segments of approximately 1 mm3, transferred to microtubes containing 1 mL of 5% (v/v) acetic acid, and subjected to the following steps [31]: dye removal, protein reduction and alkylation, and tryptic digestion using 10 ng mL−1 trypsin solution. The extracts containing the peptides were transferred to new vials and concentrated to approximately 12 µL in Thermo Scientific equipment (Thermo Fisher Scientific, Waltham, MA, USA). The concentrated extracts were then passed through C18 ZipTip columns (Thermo Fisher Scientific, Waltham, MA, USA) for peptide cleanup and stored at −80 °C until further analysis for characterization using the nano ACQUITY UPLC-Xevo QTOF-MS system equipped with electrospray ionization (Waters, Manchester, UK), HSS T3 column (Acquity UPLC HSS T3 Waters, Manchester, UK) and operated in positive ion mode [18]. The data obtained from the mass spectra were processed and analyzed using the “Protein Lynx Global Server—PLGS software” (version 2.5) and by consulting the Uniprot database and the fish order Otophysi, to identify the proteins [7,16,17].

3.5. Analysis of Parameters Related to Oxidative Stress

To analyze the damage to cellular lipids and proteins resulting from oxidative stress, 0.20 g of liver tissue from each individual from the lower and higher Hg and Se concentration groups of P. amazonica and R. vulpinus (biological replicates) were subjected to the cell disruption process using Tris-HCl buffer pH 8.80 as extraction solution and the OMNI/analytic cell disruptor. Then, the extracts were centrifuged at 12,000× g for 30 min at 4 °C and the supernatants obtained were used to determine lipid lipoperoxidation (LPO) and glutathione peroxidase (GPx), catalase (CAT), and superoxide dismutase (SOD) activities using already consolidated methodologies from the literature [32,33,34,35].

3.6. Statistical Analysis

ImageMaster 2D Platinum software (version 7.0) (GE Healthcare) was used to analyze 2D PAGE gel images, as described by Santiago et al. 2023 [20]. Hg and Se determinations were expressed in M ± SD and subjected to Student’s t test and F test to identify any significant differences using SAS software (version 8) [7,17,20]. Regarding data from the analysis of CAT, SOD, and GPx activity and LPO concentrations, the Spearman Correlation test was used to evaluate the correlation of these parameters with CHgtotal and CSetotal [16]. Proteomic data were analyzed using nanoAcquity UPLC Xevo QT of the MS Protein Lynx Global Server (PLGS) spectrometer software (version 2.5) [17].

4. Conclusions

The average molar ratio Hg:Se showed lower values in relation to the average molar ratio Se:Hg for the P. amazonica (non-predatory) and R. vulpinus (predatory) species, which reflected values of Se HBV > 5 for the two groups of the non-predatory species and >10 for the two groups of the predatory species, indicating that the organisms of both species had Se in their liver tissue to eliminate the toxic effects of Hg species. The metalloproteomic results indicated 11 protein bands in which enzymes and/or proteins associated with Hg and Se that play important functions in P. amazonica and R. vulpinus were identified. Moreover, the presented Setotal concentrations were approximately 50% higher than those of Hgtotal. Based on this, it can be inferred that, in P. amazonica and R. vulpinus, the formation of complexes could occur, forming inert metal binding proteins (MBP-R-[Hg-Se] and/or MPB-R2-[Hg-SE]); in this case, the binding of Se to Hg may mitigate the toxic effects of Hg species. Finally, the activities of SOD, CAT, and GPx, as well as LPO levels, were not significantly correlated with the Hgtotal and Setotal concentrations, indicating, in principle, the non-occurrence of oxidative species induced by Hg species. This corroborates the metalloproteomics results. Thus, the insights reported in this study indicate that the consumption of P. amazonica and R. vulpinus as a source of protein for riverside populations in the Brazilian Amazon does not present a contamination risk by Hg species.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/ijms252211946/s1.

Author Contributions

I.B.: Methodology, Investigation, Formal analysis; J.V.: Investigation; J.d.S.: Methodology, Investigation; L.A.: Methodology, Investigation; V.F.: Investigation, Formal analysis; R.C.: Formal analysis, Conceptualization; R.d.A.: Conceptualization, Writing—review and editing; L.Z.: Conceptualization, Writing—review and editing; M.B.: Development and interpretation of analysis by LC-MS/M; J.A.: Supervision, Writing—review and editing; P.P.: Conceptualization, Methodology, Funding acquisition, Resources, Supervision, Writing—review and editing. All authors have read and agreed to the published version of the manuscript.

Funding

This research was supported by São Paulo Research Foundation—FAPESP, Processes: 2021/01527-9 (Izabela Bataglioli), 2021/09344-0 and 2023/01023-6 (Victor Faria); 2017/09466-3 and 2019/02538-4 (Pedro Padilha); National Council for Scientific and Technological Development—CNPq, Processes: 306440/2022-9, 408179/2022-8 and 404404/2023-5 (Pedro Padilha); CAPES-Print AUXPE-Process: 88881.3107432018-0.1 (Pedro Padilha); Financier of Studies and Projects—FINEP, Process: 0282/19 (Pedro Padilha).

Institutional Review Board Statement

The protocols used in this research were approved by Chico Mendes Institute for Biodiversity Conservation and Authorization and Information System on Biodiversity (ICMBio; Ref. SISBIO 43890-1) and the Committee on Ethics in the Use of Animals—UNEP (CEUA-UNESP), protocol number no 0316/2023.

Informed Consent Statement

Not applicable.

Data Availability Statement

The datasets generated and analyzed during the current study are available in the Supplementary Materials.

Conflicts of Interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

References

  1. Clarkson, T.W.; Magos, L. The Toxicology of Mercury and Its Chemical Compounds. Crit. Rev. Toxicol. 2006, 36, 609–662. [Google Scholar] [CrossRef] [PubMed]
  2. Fadini, P.S.; Jardim, W.F. Is the Negro River Basin (Amazon) impacted by naturally occurring mercury? Sci. Total Environ. 2001, 275, 71–82. [Google Scholar] [CrossRef]
  3. de Lacerda, L.D.; Malm, O. Contaminação por mercúrio em ecossistemas aquáticos: Uma análise das áreas críticas. Estudos Avançados 2008, 22, 173–190. [Google Scholar] [CrossRef]
  4. Passos, C.J.S.; Da Silva, D.S.; Lemire, M.; Fillion, M.; Guimarães, J.R.D.; Lucotte, M.; Mergler, D. Daily mercury intake in fish-eating populations in the Brazilian Amazon. J. Expo. Sci. Environ. Epidemiol. 2008, 18, 76–87. [Google Scholar] [CrossRef]
  5. Dórea, J.G.; Marques, R.C. Mercury levels and human health in the Amazon Basin. Ann. Hum. Biol. 2016, 43, 349–359. [Google Scholar] [CrossRef]
  6. Faial, K.; Deus, R.; Deus, S.; Neves, R.; Jesus, I.; Santos, E.; Alves, C.N.; Brasil, D. Mercury levels assessment in hair of riverside inhabitants of the Tapajós River, Pará State, Amazon, Brazil: Fish consumption as a possible route of exposure. J. Trace Elem. Med. Biol. 2015, 30, 66–76. [Google Scholar] [CrossRef]
  7. Cunha Bataglioli, I.d.; Souza Vieira, J.C.; de Queiroz, J.V.; Fernandes, M.d.S.; Bittarello, A.C.; Braga, C.P.; Buzalaf, M.A.R.; Adamec, J.; Zara, L.F.; Padilha, P.d.M. Physiological and functional aspects of metal-binding protein associated with mercury in the liver tissue of pirarucu (Arapaima gigas) from the Brazilian Amazon. Chemosphere 2019, 236, 124320. [Google Scholar] [CrossRef] [PubMed]
  8. Lemire, M.; Mergler, D.; Fillion, M.; Passos, C.J.S.; Guimarães, J.R.D.; Davidson, R.; Lucotte, M. Elevated blood selenium levels in the Brazilian Amazon. Sci. Total Environ. 2006, 366, 101–111. [Google Scholar] [CrossRef]
  9. Kaneko, J.J.; Ralston, N.V.C. Selenium and Mercury in Pelagic Fish in the Central North Pacific Near Hawaii. Biol. Trace Elem. Res. 2007, 119, 242–254. [Google Scholar] [CrossRef]
  10. Yang, D.Y.; Chen, Y.W.; Gunn, J.M.; Belzile, N. Selenium and mercury in organisms: Interactions and mechanisms. Environ. Rev. 2008, 16, 71–92. [Google Scholar] [CrossRef]
  11. Ralston, N.V.C.; Raymond, L.J. Mercury’s neurotoxicity is characterized by its disruption of selenium biochemistry. Biochim. Biophys. Acta Gen. Subj. 2018, 1862, 2405–2416. [Google Scholar] [CrossRef] [PubMed]
  12. Sørmo, E.G.; Ciesielski, T.M.; Øverjordet, I.B.; Lierhagen, S.; Eggen, G.S.; Berg, T.; Jenssen, B.M. Selenium moderates mercury toxicity in free-ranging freshwater fish. Environ. Sci. Technol. 2011, 45, 6561–6566. [Google Scholar] [CrossRef] [PubMed]
  13. Lino, A.S.; Kasper, D.; Guida, Y.S.; Thomaz, J.; Malm, O. Mercury and selenium in fishes from the Tapajós River in the Brazilian Amazon: An evaluation of human exposure. J. Trace Elem. Med. Biol. 2018, 48, 196–201. [Google Scholar] [CrossRef] [PubMed]
  14. Siscar, R.; Koenig, S.; Torreblanca, A.; Solé, M. The role of metallothionein and selenium in metal detoxification in the liver of deep-sea fish from the NW Mediterranean Sea. Sci. Total Environ. 2014, 466–467, 898–905. [Google Scholar] [CrossRef]
  15. Tomza-Marciniak, A.; Pilarczyk, B.; Drozd, R.; Pilarczyk, R.; Juszczak-Czasnojć, M.; Havryliak, V.; Podlasińska, J.; Udała, J. Selenium and mercury concentrations, Se:Hg molar ratios and their effect on the antioxidant system in wild mammals. Environ. Pollut. 2023, 322, 121234. [Google Scholar] [CrossRef]
  16. Bittarello, A.C.; Vieira, J.C.S.; Braga, C.P.; Bataglioli, I.d.C.; de Oliveira, G.; Rocha, L.C.; Zara, L.F.; Buzalaf, M.A.R.; de Oliveira, L.C.S.; Adamec, J.; et al. Metalloproteomic approach of mercury-binding proteins in liver and kidney tissues of Plagioscion squamosissimus (corvina) and Colossoma macropomum (tambaqui) from Amazon region: Possible identification of mercury contamination biomarkers. Sci. Total Environ. 2020, 711, 134547. [Google Scholar] [CrossRef] [PubMed]
  17. Vieira, J.C.S.; Braga, C.P.; De Queiroz, J.V.; Cavecci-Mendonça, B.; de Oliveira, G.; de Freitas, N.G.; Fernandes, A.A.H.; Fernandes, M.d.S.; Buzalaf, M.A.R.; Adamec, J.; et al. The effects of mercury exposure on Amazonian fishes: An investigation of potential biomarkers. Chemosphere 2023, 316, 137779. [Google Scholar] [CrossRef]
  18. de Almeida, E.C.; Faria, V.D.; Cirinêu, F.D.; Santiago, M.G.A.; Miotto, B.; Vieira, J.C.S.; Braga, C.P.; Adamec, J.; Fernandes, A.A.H.; Buzalaf, M.A.R.; et al. Metalloproteomic Investigation of Hg-Binding Proteins in Renal Tissue of Rats Exposed to Mercury Chloride. Int. J. Mol. Sci. 2024, 25, 164. [Google Scholar] [CrossRef]
  19. Mellingen, R.M.; Myrmel, L.S.; Rasinger, J.D.; Lie, K.K.; Bernhard, A.; Madsen, L.; Nøstbakken, O.J. Dietary Selenomethionine Reduce Mercury Tissue Levels and Modulate Methylmercury Induced Proteomic and Transcriptomic Alterations in Hippocampi of Adolescent BALB/c Mice. Int. J. Mol. Sci. 2022, 23, 12242. [Google Scholar] [CrossRef]
  20. Santiago, M.G.A.; Faria, V.D.; Cirinêu, F.D.; Silva, L.L.d.L.Q.d.; de Almeida, E.C.; Cavallini, N.G.; Vieira, J.C.S.; Fernandes, A.A.H.; Braga, C.P.; Zara, L.F.; et al. Metalloproteomic approach to liver tissue of rats exposed to mercury. Chemosphere 2023, 312, 137222. [Google Scholar] [CrossRef]
  21. Pearson, R.G. Hard and Soft Acids and Bases. J. Am. Chem. Soc. 1963, 85, 3533–3539. [Google Scholar] [CrossRef]
  22. Gibson, M.A.; Sarpong-Kumankomah, S.; Nehzati, S.; George, G.N.; Gailer, J. Remarkable differences in the biochemical fate of Cd2+, Hg2+, CH3 Hg+ and thimerosal in red blood cell lysate. Metallomics 2017, 9, 1060–1072. [Google Scholar] [CrossRef]
  23. Wang, G.; Bonkovsky, H.L.; de Lemos, A.; Burczynski, F.J. Recent insights into the biological functions of liver fatty acid binding protein 1. J. Lipid Res. 2015, 56, 2238–2247. [Google Scholar] [CrossRef] [PubMed]
  24. UniProt. Universal Protein Resource (UniProt). 2024. Available online: http://www.uniprot.org/ (accessed on 28 April 2024).
  25. Vieira, J.C.S.; Camila, V.; Braga, P.; Oliveira, G.D. Identification of protein biomarkers of mercury toxicity in fish. Env. Chem. Lett. 2017, 15, 717–724. [Google Scholar] [CrossRef]
  26. Soonhee, K. Participative Management and Job Satisfaction: Lessons for Management Leadership. Public Adm. Rev. 2002, 62, 231. [Google Scholar]
  27. Vieira, J.C.S.; Cavecci, B.; Queiroz, J.V.; Braga, C.P.; Padilha, C.C.F.; Leite, A.L.; Figueiredo, W.S.; Buzalaf, M.A.R.; Zara, L.F.; Padilha, P.M. Determination of the Mercury Fraction Linked to Protein of Muscle and Liver Tissue of Tucunaré (Cichla spp.) from the Amazon Region of Brazil. Arch. Environ. Contam. Toxicol. 2015, 69, 422–430. [Google Scholar] [CrossRef] [PubMed]
  28. Riedel, T.J.; Knight, J.; Murray, M.S.; Milliner, D.S.; Holmes, R.P.; Lowther, W.T. 4-Hydroxy-2-oxoglutarate aldolase inactivity in primary hyperoxaluria type 3 and glyoxylate reductase inhibition. Biochim. Biophys. Acta Mol. Basis Dis. 2012, 1822, 1544–1552. [Google Scholar] [CrossRef]
  29. Leube, R.E.; Schwarz, N. Encyclopedia of Cell Biology; Elsevier: Amsterdam, The Netherlands, 2016; Volume 2, pp. 569–578. [Google Scholar]
  30. Silva, F.A.; Neves, R.C.F.; Quintero-Pinto, L.G.; Padilha, C.C.; Jorge, S.M.; Barros, M.M.; Pezzato, L.E.; Padilha, P.M. Determination of selenium by GFAAS in slurries of fish feces to estimate the bioavailability of this micronutrient in feed used in pisciculture. Chemosphere 2007, 68, 1542–1547. [Google Scholar] [CrossRef]
  31. Shevchenko, A.; Tomas, H.; Havli, J.; Olsen, J.V.; Mann, M. In-gel digestion for mass spectrometric characterization of proteins and proteomes. Nat. Protoc. 2006, 1, 2856–2860. [Google Scholar] [CrossRef]
  32. Jiang, Z.-Y.; Woollard, A.C.S.; Wolff, S.P. Lipid hydroperoxide measurement by oxidation of Fe2+ in the presence of xylenol orange. Comparison with the TBA assay and an iodometric method. Lipids 1991, 26, 853–856. [Google Scholar] [CrossRef]
  33. Erden, M.; Bor, N.M. Changes of reduced glutathion, glutathion reductase, and glutathione peroxidase after radiation in guinea pigs. Biochem. Med. 1984, 31, 217–227. [Google Scholar] [CrossRef] [PubMed]
  34. Crouch, R.K.; Gandy, S.E.; Kimsey, G.; Galbraith, R.A.; Galbraith, G.M.P.; Buse, M.G. The inhibition of islet superoxide dismutase by diabetogenic drugs. Diabetes 1981, 30, 235–241. [Google Scholar] [CrossRef] [PubMed]
  35. Beutler, E. Red Cell Metabolism: A Manual of Biochemical a Methods; Grune & Stratton: New York, NY, USA, 1975. [Google Scholar]
Figure 1. 2D PAGE gel of the Pa-HgSe 2 and Rv-HgSe 2 groups obtained from the liver proteome fractionation of P. amazonica (A) and R. vulpinus (B). The spots highlighted with a circle and in three dimensions, the GFAAS determinations indicated the presence of Hg and/or Se.
Figure 1. 2D PAGE gel of the Pa-HgSe 2 and Rv-HgSe 2 groups obtained from the liver proteome fractionation of P. amazonica (A) and R. vulpinus (B). The spots highlighted with a circle and in three dimensions, the GFAAS determinations indicated the presence of Hg and/or Se.
Ijms 25 11946 g001
Figure 2. Activities of SOD, CAT, and GPx enzymes, and LPO concentration determined in liver tissue of individuals of the P. amazonica and R. vulpinus.
Figure 2. Activities of SOD, CAT, and GPx enzymes, and LPO concentration determined in liver tissue of individuals of the P. amazonica and R. vulpinus.
Ijms 25 11946 g002
Table 1. Hgtotal and Setotal concentrations in the liver tissue samples from P. amazonica.
Table 1. Hgtotal and Setotal concentrations in the liver tissue samples from P. amazonica.
P. amazonica/NRCHgtotal Concentration
(µg kg−1)
Setotal Concentration
(µg kg−1)
184.50 ± 2.500126.6 ± 2.500
2122.4 ± 3.040149.3 ± 2.700
381.10 ± 0.9000121.8 ± 2.200
4123.5 ± 1.700152.1 ± 2.800
5120.9 ± 2.830147.5 ± 2.600
686.70 ± 3.250128.1 ± 2.300
787.80 ± 4.24129.4 ± 2.400
8125.5 ± 2.620153.7 ± 2.800
DOLT-42.530 ± 0.04430 *8.110 ± 0.1403 *
* Concentration—mg kg−1; DOLT-4 (Certified value—mg kg−1); CHg = 2.580 ± 0.2200; CSe = 8.300 ± 1.300; Results expressed as a mean value ± standard deviation (n = 5, p < 0.05).
Table 2. Hgtotal and Setotal concentrations in the liver tissue samples from R. vulpinus.
Table 2. Hgtotal and Setotal concentrations in the liver tissue samples from R. vulpinus.
R. vulpinus/NRCHgtotal Concentration
(µg kg−1)
Setotal Concentration
(µg kg−1)
1143.2 ± 2.600244.3 ± 4.400
2586.6 ± 10.70726.6 ± 12.80
3136.4 ± 2.200231.2 ± 3.900
4146.5 ± 2.700249.1 ± 4.600
5555.6 ± 9.900666.8 ± 11.30
6645.9 ± 11.60775.1 ± 13.20
7156.8 ± 2.800265.2 ± 4.700
8528.3 ± 9.400644.2 ± 10.90
DOLT-42.519 ± 0.04836 *8.122 ± 0.1535 *
* Concentration—mg kg−1; DOLT-4 (Certified value—mg kg−1); CHg = 2.580 ± 0.2200; CSe = 8.300 ± 1.300; Results expressed as a mean value ± standard deviation (n = 5, p < 0.05).
Table 3. Hgtotal and Setotal concentrations in protein pellets from liver tissue of P. amazonica and R. vulpinus.
Table 3. Hgtotal and Setotal concentrations in protein pellets from liver tissue of P. amazonica and R. vulpinus.
Groups IdentificationHgtotal Concentration
(µg kg−1)
Setotal Concentration
(µg kg−1)
Pellet-Pa-HgSe 181.44 ± 1.341121.6 ± 2.100
Pellet-Pa-HgSe 2118.2 ± 1.824148.5 ± 2.314
Pellet-Rv-HgSe 1137.8 ± 2.243237.6 ± 3.971
Pellet-Rv-HgSe 2564.6 ± 8.522679.4 ± 9.342
DOLT-42.514 ± 0.04091 *8.115 ± 0.1393 *
Pa-HgSe 1—Individual group of P. amazonica species with <[Hgtotal] and [Setotal]; Pa-HgSe 2—individuals group of P. amazonica species with >[Hgtotal] and [Setotal]; Rv-HgSe 1—individuals group of R. vulpinus species with <[Hgtotal] and [Setotal]; Rv-HgSe 2—g individual group of R. vulpinus group with >[Hgtotal] and [Setotal]; * Concentration—mg kg−1; DOLT-4 (Certified Value—mg kg−1); CHg = 2.580 ± 0.2200; CSe = 8.300 ± 1.300. Results expressed as a mean value ± standard deviation (n = 5, p < 0.05).
Table 4. Mercury and selenium-associated proteins in protein spots of gels from liver tissues of P. amazonica and R. vulpinus.
Table 4. Mercury and selenium-associated proteins in protein spots of gels from liver tissues of P. amazonica and R. vulpinus.
ID.
Spots
Protein
Accession
Protein
Description
Protein
Score
CHg
(mg kg−1)
CSe
(mg kg−1)
P. amazonica
59P02140
P02018
Hemoglobin subunit beta
Hemoglobin subunit alpha
2527.965
188.4514
9.700 ± 0.140016.15 ± 0.2100
60P02017
P02140
P80856
Hemoglobin subunit alpha
Hemoglobin subunit beta
Fatty acid-binding protein_ liver
2305.963
1368.896
1131.812
17.24 ± 0.230033.41 ± 0.3900
61P80856
Q9I8L5
Fatty acid-binding protein_ liver
Fatty acid-binding protein 10-A_ liver basic
1522.318
1214.747
19.72 ± 0.250035.44 ± 0.4300
69P83751Actin_ cytoplasmic 13731.13614.20 ± 0.190025.32 ± 0.3000
R. vulpinus
1O73872Superoxide dismutase [Cu-Zn]615.683122.11 ± 0.310034.82 ± 0.4600
4Q90XG0Triosephosphate isomerase B1373.10224.20 ± 0.360039.20 ± 0.5100
6Q90XG0Triosephosphate isomerase B4885.84123.12 ± 0.330037.60 ± 0.4900
8Q6NY774-hydroxy-2-oxoglutarate aldolase_ mitochondrial126.541321.43 ± 0.280033.73 ± 0.4300
10P83751
P49055
Actin_ cytoplasmic 1
Actin_ alpha skeletal muscle
8121.286
3804.837
28.44 ± 0.310043.12 ± 0.5100
17Q9PTY0ATP synthase subunit beta_ mitochondrial128.795617.32 ± 0.230031.25 ± 0.4100
26P18520
Q6NWF6
Intermediate filament protein ON3
Keratin_ type II cytoskeletal 8
144.8645
144.8645
14.35 ± 0.210026.82 ± 0.3100
CHg, CSe—Results expressed as a mean value± standard deviation (n = 5, p < 0.05).
Table 5. Spearman correlation coefficients correlating Hgtotal and Setotal concentrations with the activities of CAT, SOD, and GPx enzymes, and LPO concentration in liver tissue of P. amazonica and R. vulpinus.
Table 5. Spearman correlation coefficients correlating Hgtotal and Setotal concentrations with the activities of CAT, SOD, and GPx enzymes, and LPO concentration in liver tissue of P. amazonica and R. vulpinus.
VariablesLPO
Sp.CC
CAT
Sp.CC
SOD
Sp.CC
GPx
Sp.CC
P. amazonica----
Group with <CHgtotal0.8425 *−0.4597 NS0.6156 *−0.8815 *
Group with >CHgtotal0.2697 NS0.1018 NS−0.7555 *−0.7767 *
Group with <CSetotal0.8427 *−0.5095 NS0.6962 *−0.8348 *
Group with >CSetotal0.3634 NS0.2220 NS−0.6800 *−0.8749 *
R. vulpinus
Group with <CHgtotal0.7342 *−0.2536 NS0.2877 NS0.4822 NS
Group with >CHgtotal0.3017 NS0.2864 NS−0.3387 NS−0.6000 *
Group with <CSetotal0.7135 *−0.3071 NS0.2328 NS0.4282 NS
Group with >CSetotal0.1301 NS0.2822 NS−0.4178 NS−0.6826 *
Sp.CC—Spearman correlation coefficients; * Significant (p < 0.05); NS—Not significant (p ≥ 0.05).
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Bataglioli, I.; Vieira, J.; Siva, J.d.; Andrade, L.; Faria, V.; Corcoba, R.; Almeida, R.d.; Zara, L.; Buzalaf, M.; Adamec, J.; et al. Metallomic Approach to Mercury and Selenium in the Liver Tissue of Psectrogaster amazonica and Raphiodon vulpinus from the Brazilian Amazon. Int. J. Mol. Sci. 2024, 25, 11946. https://doi.org/10.3390/ijms252211946

AMA Style

Bataglioli I, Vieira J, Siva Jd, Andrade L, Faria V, Corcoba R, Almeida Rd, Zara L, Buzalaf M, Adamec J, et al. Metallomic Approach to Mercury and Selenium in the Liver Tissue of Psectrogaster amazonica and Raphiodon vulpinus from the Brazilian Amazon. International Journal of Molecular Sciences. 2024; 25(22):11946. https://doi.org/10.3390/ijms252211946

Chicago/Turabian Style

Bataglioli, Izabela, José Vieira, Joyce da Siva, Luane Andrade, Victor Faria, Rebeca Corcoba, Ronaldo de Almeida, Luiz Zara, Marília Buzalaf, Jiri Adamec, and et al. 2024. "Metallomic Approach to Mercury and Selenium in the Liver Tissue of Psectrogaster amazonica and Raphiodon vulpinus from the Brazilian Amazon" International Journal of Molecular Sciences 25, no. 22: 11946. https://doi.org/10.3390/ijms252211946

APA Style

Bataglioli, I., Vieira, J., Siva, J. d., Andrade, L., Faria, V., Corcoba, R., Almeida, R. d., Zara, L., Buzalaf, M., Adamec, J., & Padilha, P. (2024). Metallomic Approach to Mercury and Selenium in the Liver Tissue of Psectrogaster amazonica and Raphiodon vulpinus from the Brazilian Amazon. International Journal of Molecular Sciences, 25(22), 11946. https://doi.org/10.3390/ijms252211946

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