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Frontiers in Toxicology logoLink to Frontiers in Toxicology
. 2025 Apr 16;7:1560192. doi: 10.3389/ftox.2025.1560192

Exposure to deltamethrin leads to gill liver damage, oxidative stress, inflammation, and metabolic disorders of Japanese flounder (Paralichthys olivaceus)

Bingbu Li 1,2,3, Guixing Wang 1,2,3, Xinyu Zheng 1,2,3, Mingyang Liu 1,2,3, Yucong Yang 1,2,3, Yuqin Ren 1,2,3, Yitong Zhang 1,2,3, Yufeng Liu 1,2,3, Zhongwei He 1,2,3, Jiangong Ren 1,2,3, Hailong Wan 1,2,3,4, Wei Cao 1,2,3, Yufen Wang 1,2,3, Xiaoyan Zhang 1,2,3,*, Jilun Hou 1,2,3,*
PMCID: PMC12041085  PMID: 40309513

Abstract

Introduction

Deltamethrin is a pyrethroid insecticide commonly used to kill animal parasites in aquaculture. However, increasing evidence suggests that deltamethrin affects the health of aquatic animals by causing tissue damage and even death.

Methods

In this study, the damage caused by deltamethrin to the gill and liver tissues, as well as its effects on oxidative stress and immune metabolism, were studied in Paralichthys olivaceus.

Results

We observed a positive correlation between the residual levels of deltamethrin (Del) and the exposure concentrations, with the highest residue detected in the 0.28 μg/L concentration group (0.0684 mg/kg at 7 days). Then, we observed different degrees of damage to the gill and liver tissues of the Paralichthys olivaceus, including swelling, apical fusion, shedding of gill secondary lamellae, liver cell necrosis, and nuclear vacuolization, by observing tissue sections. Lysozyme enzyme activity increased, whereas catalase and alkaline phosphatase enzyme activities decreased. The liver transcriptome results of the control and high-concentration (0.28 μg/L) groups showed that there were 697 differentially expressed genes, including 390 upregulated and 307 downregulated genes. These differentially expressed genes were significantly enriched in oxidation-reduction, ferroptosis, steroid biosynthesis, and apoptosis pathways.

Discussion

In summary, we found that deltamethrin induces oxidative stress and metabolic disorders in P. olivaceus and leads to inflammation. However, the fish body resists such damage through a complex regulatory network. These experimental results provide a theoretical reference for the safe use of deltamethrin in P. olivaceus.

Keywords: deltamethrin, gills and liver injury, oxidative stress, immunity and metabolism, Paralichthys olivaceus

1 Introduction

Deltamethrin (Del) is a common pyrethroid insecticide widely used in agriculture, animal husbandry, and aquaculture (Trostanetsky et al., 2023). Initially, Del was commonly used to kill animal ectoparasites because of its strong insecticidal effect; However, the most recent research has demonstrated that Del not only exerts toxic effects on target organisms but may also induce varying degrees of harm to non-target species, exhibiting distinct biodiversity-dependent toxicity characteristics (Shi et al., 2024). Del can cause severe pathological changes in Pangasius hypophthalmus, such as liver congestion, hepatocyte rupture and necrosis, decreased glomeruli, and shedding of renal tubular epithelial cells (Reddy et al., 2023). Additionally, it can cause neurological and metabolic disorders, oxidative stress, apoptosis, and immune dysfunction in animals (Guardiola et al., 2014; Ding et al., 2017). With the use of insecticides such as organophosphorus (OP), the use of Del and other pyrethroid insecticides is increasing every year (Amweg et al., 2006). Environmental pesticide residues and their harmful effects on aquatic organisms have received widespread attention from researchers (Arslan et al., 2017). Del can effectively eliminate ectoparasites in fish; however, fish possess a reduced capacity to degrade pyrethroid pesticides compared to birds and mammals (Glickman et al., 1982). Therefore, fish are more sensitive to Del (Guardiola et al., 2014). Del exhibits multifaceted toxic effects on zebrafish, primarily characterized by the inhibition of neuronal and skeletal system differentiation and development during embryogenesis, as well as the induction of systemic inflammatory responses and cardiotoxicity (Wang et al., 2024). Moreover, Del exposure has been shown to cause hepatic degeneration, promote cellular apoptosis, induce oxidative stress, and significantly modulate the transcriptional regulation of genes associated with toxicological responses. (Miao et al., 2023). Similarly, there are multiple negative effects of Del on other fish, people are concerned about its toxicity and residual effects on fish (Li et al., 2022). Long-term exposure to Del can result in inflammatory responses, oxidative stress, DNA damage, and apoptosis in common carp (Cyprinus carpio L.) (Arslan et al., 2017). It was shown that 24-h acute exposure to Del can eventuate severe desquamation and necrosis of gill epithelial cells, downregulation of some genes involved in innate immune molecules, complement activation and apoptosis-related molecules, and induced immunotoxicity in gibel carp (Carassius auratus gibelio) (Wu et al., 2022). In addition, Del affects fish growth and metabolism, inhibits growth and disease resistance in snakehead fish (Channa argus), and affects immunity and metabolism in gilthead seabream (Sparus aurata L.) (Kong et al., 2021; Guardiola et al., 2014).

The Japanese flounder (Paralichthys olivaceus) is an economically important fish in China, Korea, and Japan (Xu et al., 2022). Because of the high-density intensive culture, the residual bait and metabolites in the pool are not cleaned up in time, which can easily lead to parasitic diseases (Jang et al., 2017). Insecticides such as Del are often sprinkled into ponds to treat parasitic diseases of P. olivaceus, but high concentrations of insecticides may also cause damage to P. olivaceus larvae. Therefore, it is necessary to conduct studies to evaluate the toxicity of Del and its molecular regulatory mechanisms in P. olivaceus.

In the present study, we conducted a Del subacute exposure experiment on P. olivaceus. We performed transcriptome sequencing and bioinformatics analysis of the liver of P. olivaceus, prepared tissue sections to analyze the degree of gill and liver damage, and used an enzyme-linked immunosorbent assay (ELISA) to detect oxidative stress and immune and metabolic enzyme activity. This study provide a theoretical reference for the safe use of Del in P. olivaceus.

2 Materials and methods

2.1 Experimental fish

The fish were meio-gynogenetic induced P. olivaceus cultivated at the Beidaihe Central Experimental Station, Chinese Academy of Fishery Sciences, and 800 healthy and active P. olivaceus (3 months old, 92.27 ± 19.92 g) were selected and temporarily reared in a cement pond.

2.2 Determination of the 96 h LC50 for P. olivaceus

Analytical-grade Del (99% purity, T20754, Innochem, China) and acetone (99% purity, 177170010, Innochem, China) were used. Del powder was dissolved in acetone to form Del stock solution at a concentration of 1 mg/L and stored in a refrigerator at −20°C. Del was adjusted to the required concentrations to determine the 96 h LC50.

In total, 300 healthy P. olivaceus were randomly selected from the cement pond and placed in 30 breeding barrels (300 L) for 2 weeks to adapt to the surrounding water environment and reduce external interference. Nine concentration groups (0, 0.2, 0.4, 0.8, 1.6, 2, 4, 8, and 16 μg/L Del) with three replicates each (10 fish per group) were created. The oxygenation equipment was turned on all day to ensure that the dissolved oxygen in the water was ≥8 mg/L. The water temperature, pH and salinity ware kept at 18°C ± 2 °C, 7 ± 1‰ and 30‰, respectively, and for maintaining a preset level of Del concentration, half of the test solution was changed after 24 h. The status of the fish fry was observed every 8 h, and the number of dead fish were recorded. The 96 h LC50 (95% confidence interval) was calculated using the probit method.

2.3 Subacute del exposure

A total of 225 healthy P. olivaceus were selected and placed in 15 breeding barrels (15 fish per barrel) for 2 weeks to adapt to the surrounding water environment and reduce external interference. The experimental fish were fed seawater fish feed (Yuequn ocean, China) twice daily. The lethal minimum concentration was 4 μg/L, and the 96 h LC50 was 0.35 μg/L. The subacute stress experiment was divided into four groups (0, 0.07, 0.14, 0.28 μg/L), which were 0%, 20%, 40%, and 80% of the 96 h LC50, respectively. Water conditions and daily management refer to Section 2.2.

2.4 Tissue sample collection

Sampling was conducted on days 1, 2, 4, and seven of the experiment with nine P. olivaceus randomly selected from each group. Each group of fish was anesthetized with 100 mg/L MS-222 (Sigma-Aldrich GYT0202813, United States) and weighed. Muscle tissue samples were systematically collected and analyzed to quantify the bioaccumulation potential of Del in fish specimens. The tail arterial blood in each group were collected to test serum enzyme activity. Two portions of gill and liver tissues were taken. One sample was soaked in 4% paraformaldehyde to prepare hematoxylin and eosin (H&E) staining sections; Another tissue sample was frozen in liquid nitrogen and stored at −80°C. On day 7, the livers of the control and 0.28 concentration groups were used for transcriptomic and quantitative real-time analysis (qRT-PCR).

2.5 Del bioaccumulation assessment

2.5.1 Deltamethrin extraction

Extraction of deltamethrin from fish tissues was performed according to the method described by Niewiadowska et al. (2010).

Operational procedure: Precisely weigh 5 g of muscle tissue into a 50 mL polypropylene centrifuge tube. Add 15 mL acetonitrile and vortex thoroughly for 2 min. Add 1.5 g NaCl, vortex for 1 min, then centrifuge at 4,000 rpm for 5 min. Transfer the supernatant to a new centrifuge tube. Then, add 10 mL acetonitrile-saturated n-hexane to the extract. Vortex vigorously for 3 min and centrifuge at 4,000 rpm for 5 min. Discard the upper organic layer and transfer the lower aqueous phase to a pear-shaped flask. Evaporate the solution to dryness at 45°C using a rotary evaporator. Reconstitute the residue with 2 mL methanol, then dilute with 4 mL ultrapure water. Vortex for homogeneity. Activate the C18 Solid-Phase Extraction (SPE) cartridge with 5 mL methanol followed by 5 mL water. Load the diluted extract onto the column at 1 mL/min. Wash with 5 mL methanol-water (3 : 7), discard effluent. Elute target compounds with 6 mL benzene, collecting eluate. The alumina column is activated with 5 mL of acetonitrile, load the primary eluate onto the column. Perform three sequential elutions with 3 mL benzene each. Combine eluates in a 10 mL centrifuge tube and adjust to 5 mL with benzene. The final extracts were subjected to instrumental analysis using a gas chromatograph equipped with an electron capture detector (GC-ECD) under optimized analytical conditions.

2.5.2 Chromatographic conditions

The analytical procedure was adapted from a previously established method (Mahboob et al., 2015). Deltamethrin residues were quantified using an Agilent 7890 b gas chromatograph (United States) equipped with a63Ni electron capture detector. The instrument was operated under controlled environmental conditions at 20.6°C and 54% relative humidity. Chromatographic separation was achieved using an HP-5 capillary column (Agilent, United States) with ultra-high purity (99.999%) nitrogen as the carrier gas. The injector and detector temperatures were maintained at 240°C and 300°C, respectively. Samples were introduced in splitless mode with a 1 μL injection volume. The carrier gas flow rate was set at 2.5 mL/min with a purge flow of 25 mL/min. The temperature program was optimized as follows: initial temperature of 100°C held for 0 min, followed by a ramp to 220°C at 30 °C/min (1 min hold), then to 250°C at 5 °C/min (0 min hold), and finally to 290°C at 20 °C/min (5 min hold). Data acquisition and processing were performed using OpenLab CDS ChemStation Chromatographic Software (Agilent, United States). For quantification, a calibration curve was established using deltamethrin standard solutions at concentrations of 10, 20, 50, 100, and 200 μg/L.

2.6 Histological processing

Paraffin-embedded sections were prepared following the method refer to Zheng et al. (2021). Gills and liver tissue were fixed overnight in 4% paraformaldehyde. The fixed tissues were excised, subjected to gradient dehydration in ethanol, and subsequently cleared using a mixture of xylene and anhydrous ethanol in a 1:1 ratio. Gill and liver tissue samples were embedded in paraffin wax blocks utilizing a Leica, E.G.,1150H embedding machine (Leica, Germany). The paraffin blocks were then sectioned into thin slices using a Leica RM2255 microtome (Leica). The sections were subsequently dried, dewaxed, and stained with hematoxylin-eosin. Finally, the stained sections were sealed with neutral gum, observed, and photographed using a LEICA DM4 B microscope (Leica).

2.7 Serum enzyme activity

To evaluate oxidative stress, immune- and metabolism-related enzymes in the serum, lysozyme (LZM, A050-1-1), acid phosphatase (ACP, A060-1-1), alkaline phosphatase (ALP/AKP, A059-1-1), and catalase (CAT, A007-1-1) were measured using kits (Jiancheng, China). Briefly, the serum was diluted according to the kit requirements. The LZM (530 nm), ACP (520 nm), ALP/AKP (520 nm), and CAT (405 nm) enzyme activities were measured using a UH5300 spectrophotometer (Techcomp, China) at different wavelengths.

2.8 Transcriptome analysis

2.8.1 Total RNA extraction and sequencing

Total RNA was extracted from liver tissues using a Tiangen RNA extraction kit (Tiangen DP431, China), and RNA quality was detected using 1% agarose gel electrophoresis. The absorbance ratios at 260 and 280 nm were determined using a NanoDrop 2000 spectrophotometer (Thermo, United States) to verify the quality of the extracted total RNA. The extracted RNA was divided into two samples. One sample was used for transcriptome sequencing, and the other was temporarily stored at −80°C for qRT-PCR expression analysis. Three replicates were used for each group, and six samples (Con 1, Con 2, Con 3, Del 1, Del 2, and Del 3) were prepared. Con 1, Con 2, and Con three are samples from the control group on day 7, while Del 1, Del 2, and Del three are samples from the treatment group on day 7 (0.28 group). Libraries were constructed according to the NEB general library construction method or the strand-specific library construction method (Parkhomchuk et al., 2009), and sequenced using Illumina NovaSeq Xplus (Illumina, United States).

2.8.2 Analysis of differentially expressed genes (DEGs)

Fastp was used to filter to low-quality reads, and Hisat2 was used to create an index of the reference genome, and to compare processed clean reads with the genome of the P. olivaceus. Then assembled transcripts based on comparison results (Pertea et al., 2015), and all genes were analyzed in each sample, and their expression levels calculated. Gene expression in different samples was calculated according to fragments per kilobase per million (FPKM) values (Wang et al., 2020). DESeq2 (Anders and Huber, 2010) software was used to screen DEGs. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed on the DEG sets using ClusterProfiler software (Yu et al., 2012).

2.8.3 qRT-PCT validation analysis of DEGs

Gene-specific primers for DEGs and β-actin used for qRT-PCR are listed in Table 1. Complementary DNA (cDNA) was synthesized utilizing the isolated high-quality total RNA. Then a q225 Real-Time System (Novogen, China) was used to qRT-PCR, the total reaction system is 10 μL, including 5 μL of TB Green Premium Ex Taq II (Takara, Japan), 0.5 μL of the forward and reverse primers (10 μM), 0.5 μL of cDNA and 3.5 μL of RNase-Free water. The cycling conditions were 92°C for 2 min, 40 cycles at 94 °C for 30 s and 60°C for 20 s, and a final extension at 65°C for 5 s and 95°C for 5 s. The relative expression of mRNA of each gene was calculated using the 2−ΔΔCt method (Livak and Schmittgen, 2001).

TABLE 1.

Gene qRT-PCR primer information.

Primers Sequence (5′−3 ′) Use
tp53i3-F GGA​CCA​GAG​AGT​TTG​CTG​CT Real-time PCR
tp53i3-R TGC​GTA​TCC​TCC​TCC​ACA​GA
sccpdh-F GGG​ACC​AGT​TCA​AGG​GTA​CG Real-time PCR
sccpdh-R TTG​GAG​CCA​ACA​GTA​GGC​AG
miox-F GAT​CCC​AGA​GGA​GGG​TCT​GT Real-time PCR
miox-R TCT​TGG​ACC​CAG​GGG​ATC​AT
acaca-F GAT​GCA​GCT​GGA​GGA​GAA​GG Real-time PCR
acaca-R GCA​GGC​CTG​ACA​TAC​TTG​GT
sc5d-F TCG​GAG​CGA​TCA​GCT​ACT​TC Real-time PCR
sc5d-R GCT​GTA​TCC​TCG​GAC​TTC​GG
nsdhl-F GAC​GAG​CCG​GTG​AGA​TTC​TG Real-time PCR
nsdhl-R ACC​GAC​CAC​AGG​TTT​GTA​GC
p450 1a1-F CGA​TAC​GGC​CAT​GTC​TTC​CA Real-time PCR
p450 1a1-R TCG​GGT​CTG​CCT​GAA​AAC​TC
β-actin-F GGA​AAC​CAT​GGA​CTG​AGG​CA Real-time PCR
β-actin-R GGA​AAT​CGT​GCG​TGA​CAT​TAA​G

2.9 Statistical analyses

The data obtained from the experiments are expressed as mean ± standard error (Mean ± SE). The experimental data were subjected to normality and homogeneity of variance assessments utilizing the Shapiro–Wilk test and Levene’s test, respectively, through the application of SPSS software (version 26.0). A one-way analysis of variance (ANOVA) was employed to assess the significance of differences in enzyme activity and gene expression for identical Del exposure durations in P. olivaceus, where P < 0.05 was significant.

3 Results

The results of the 96 h LC50 assay showed that there was no mortality in the control and vehicle control groups, and there was no significant difference in liver tissue structure (Figure 1A), indicating that the solvent had no significant effect on the results of this experiment. Therefore, the control and experimental groups were used in the subsequent analyses.

FIGURE 1.

FIGURE 1

Toxicity of deltamethrin exposure to Paralichthys olivaceus. Note: (A) Hematoxylin and eosin (H&E) stained sections of liver tissue from control and acetone groups, Black arrows indicate normal hepatocytes; (B) Mortality of Paralichthys olivaceus at different concentrations of Del; (C) 96 h LC50 of Del.

3.1 Determination of the 96 h LC50 of del

The status and death of fish at different concentration groups were observed and recorded at 24 h intervals (Figure 1B). The 96 h LC50 of P. olivaceus Del was calculated to be 0.35 μg/L using SPSS software (Figure 1C). Based on the 96 h LC50, we conducted a Del subacute exposure experiment for 7 days with exposure concentrations of 0, 0.07, 0.14, and 0.28 μg/L.

3.2 Del residue detection

The quantification of deltamethrin (Del) residues in P. olivaceus muscle samples was conducted using the standard curve method, which effectively illustrated the bioaccumulation levels. The standard curve was defined by the equation: y = 63.48475x + 40.62828, with a high coefficient of determination (R 2 = 0.99980). Analysis revealed an absence of Del residues in the control group’s muscle samples. A direct correlation was observed between the concentration of Del added and the residue levels detected. Specifically, the Del residue measured 0.0229 mg/kg in the 0.07 μg/L concentration group, 0.0375 mg/kg in the 0.14 μg/L group, and 0.0684 mg/kg in the 0.28 μg/L group.

3.3 Histopathological observation

In our experiments, we observed abnormal swimming behaviours, including not lying on the bottom (P. olivaceus normally lie on the bottom of the culture bucket), swimming in rapid circles around the bucket, gill cover is not closed and frequent opening of the mouth to swallow seawater. Changes in the histological structure of the gills and liver of P. olivaceus were observed after 7 days of Del exposure (Figures 2, 3). Among the gill section observations (Figure 2), the gill tissue of the control group was structurally normal, with symmetrical and secondary lamellae (SL) on both sides of primary filament (PF), cartilage cells (CC) inside primary filament, and a large number of activated cells in interlamellar cellular mass (ILCM) of cells of primary filament and secondary lamellae (Figure 2A). SL showed swelling and apical fusion, and a small number of cells in SL were necrotic in the 0.07 and 0.14 μg/L concentration groups (Figures 2B, C). The epithelial cells of SL were necrotic, the number of erythrocytes was significantly reduced, and there were phenomena such as detachment of SL and degeneration of ILCM in the 0.28 μg/L concentration group (Figure 2D).

FIGURE 2.

FIGURE 2

Histopathological observation of gill of Paralichthys olivaceus. Note: (A) The control group of gill; (B) The 0.07 μg/L group of gill; (C) The 0.14 μg/L group of gill; (D) The 0.28 μg/L group of gill. Black arrows indicate swelling, fusion, or detachment of secondary lamellae. The black pentagram and red rectangular areas indicate cell necrosis in the secondary lamellae. PF, primary filament; SL, secondary lamellae; ILCM, interlamellar cellular mass; CC, cartilage cell.

FIGURE 3.

FIGURE 3

Histopathological observation of the liver of Paralichthys olivaceus. Note: (A) The control group of liver; (B) The 0.07 μg/L group of liver; (C) The 0.14 μg/L group of liver; (D) The 0.28 μg/L group of liver. Black arrows indicate normal hepatocytes, red arrows indicate hepatocytes with hepatocyte vacuolization, black triangles indicate hepatocyte necrosis, and red rectangular areas indicate fibrosis due to increased cellular matrix within the liver lobule.

Liver lobules in the control group were round and full, with slight nuclear migration (Figure 3A). The nuclei of liver cells in the 0.07 and 0.14 μg/L groups showed vacuolization, fibrosis in some areas of the liver lobule, liver cell congestion, and necrosis in liver cells (Figures 3B, C). The 0.28 μg/L group showed more severe vacuolization of the liver nucleus, more severe liver cell congestion, and extensive fibrosis of the liver lobule accompanied by liver cell lesions and necrosis (Figure 3D).

3.4 Serum enzyme activity

We examined CAT, LZM, ACP, and AKP enzyme activities in the serum of Del-exposed 1, 2, 4, and 7 days P. olivaceus, and the results are shown in Figure 4.

FIGURE 4.

FIGURE 4

Catalase (CAT), lysozyme (LZM), acid phosphatase (ACP), and alkaline phosphatase (AKP) activities in serum of Paralichthys olivaceus after exposure to different concentrations of Del. Note: (A) CAT enzyme activity; (B) LZM enzyme activity; (C) ACP enzyme activity; (D) AKP enzyme activity. Values in the graphs are mean ± SE (n = 3); Different lowercase letters on the way indicate significant differences between different concentration groups at the same time (P < 0.05).

The results of CAT enzyme activity (Figure 4A) showed that the control group had the highest CAT enzyme activity from day 1 to day 7 of exposure to Del (P < 0.05). Among the treatment groups, the CAT enzyme activity of the 0.07 μg/L group was significantly higher than 0.14 and 0.28 μg/L groups on days 2 and 7.

The results of LZM enzyme activities showed that during the 7-day exposure of different concentrations of Del to P. olivaceus, the treatment group had higher LZM activity compared to the control group, except for the low treatment group (0.07 μg/L) on day 1 (Figure 4B), which did not have any significant difference from the control group (P > 0.05). Among the treatment groups, the 0.28 μg/L groups had the highest LZM enzyme activity on day 1, and 0.07 μg/L groups had the highest LZM enzyme activity on day 4 and day 7.

The results of AKP enzyme activity showed (Figure 4D) that the AKP activity in the treatment group remained at a lower level compared with the control group (P < 0.05). Among the treatment groups, the 0.07 μg/L group had the highest AKP enzyme activity on day 1, the 0.28 μg/L groups had the lowest enzyme activity on day 7.

During the same period, ACP enzyme activity in the treatment group was not significantly different from that in the control group (Figure 4C, P > 0.05).

3.5 Transcriptome analysis

Six libraries (Con_1, Con_2, Con_3, Del_1, Del_2, Del_3) were constructed by extracting mRNA from liver tissues of the 7 days highest concentration exposure group (0.28 μg/L) and the control group (Con). Sequencing yielded 40,961,900–50,208,994 raw reads with 6.14–7.55G raw bases. After filtering the data, the range of valid reads was 40,817,782–50,208,994, the number of filtered bases was 6.12–7.53G, Q20 was 97.67%–98.88%, Q30 was 94.18%–96.79%, and the GC content was 50.19%–51.33% (Table 2). The data volume was sufficient for subsequent analysis.

TABLE 2.

Overview of transcriptome sequencing reads and quality filtering of Paralichthys olivaceus.

Sample Raw reads Raw bases Clean reads Clean bases Q20 (%) Q30 (%) GC pct (%)
Con_1 41102690 6.17 G 40972640 6.15 G 98.8 96.6 51.72
Con_2 4,0961900 6.14 G 40817782 6.12 G 98.71 96.42 50.19
Con_3 48188798 7.23 G 48038972 7.21 G 98.8 96.64 51.31
Del_1 48746010 7.31 G 4,3851768 6.58 G 98.72 96.44 51.33
Del_2 46447746 6.97 G 42359732 6.35 G 97.67 94.18 51.6
Del_3 50338014 7.55 G 50208994 7.53 G 98.88 96.79 51.09

The co-expression Venn diagram results showed (Figure 5A) that there were 11,267 co-expressed genes in the Con and Del groups, and 684 and 673 DEGs, respectively. We used DESeq2 software and set the threshold parameter for differences (padj < 0.05, log2FoldChange = 1) to analyze the number of differential genes in the control and Del groups. 390 upregulated DEGs and 307 downregulated DEGs were identified (Figures 5B, C). All differentially expressed genes (DEGs) were aggregated into a comprehensive differential gene set. Subsequently, class cluster analysis was conducted on the differential gene sets derived from the six samples within the two groups. The analysis revealed significant differences in the expression patterns between the Con and Del groups (Figure 5D).

FIGURE 5.

FIGURE 5

Transcriptome analysis in Control and Del groups in Paralichthys olivaceus. Note: (A) Co-expression Venn diagram; (B) Number of DEGs; (C) DEGs volcano map; (D) Gene class clustering heat map (n = 3); (E) Enrichment analysis of Del subacute exposure on liver DEGs GO pathways (F) Enrichment analysis of Del subacute exposure on liver DEGs KEGG pathways.

3.6 GO and KEGG enrichment analysis of DEGs

The results of the GO enrichment analysis showed that 314 signaling pathways were significantly enriched in DEGs when comparing the DEGs of the Con group with those of the Del group (p < 0.05), and eight signaling pathways were screened to be significantly enriched in DEGs by correction for multiple hypothesis testing (padj < 0.05). These signal pathways were shown oxidation-reduction process (GO:0055114), oxidoreductase activity, acting on paired donors, with incorporation or reduction of molecular oxygen (GO:0016705), oxidoreductase activity (GO:0016491), iron ion binding (GO:0005506), cofactor binding (GO:0048037), heme binding (GO:0020037), tetrapyrrole binding (GO:0046906), and lipid binding (GO:0008289) (Figure 5E). We found that DEGs were significantly enriched in redox- and metabolism-related pathways; and genes such as sccpdh, gys2, and hadh were upregulated, while genes such as p4501a1, miox, tp53i3, sqlea, sc5d, nsdhl, hmgcr, and acaca were downregulated.

The results of the KEGG enrichment analysis showed that 24 signaling pathways were significantly enriched for DEGs when comparing DEGs in the Con and Del groups (P < 0.05). These signaling pathways included ferroptosis (dre04216), fatty acid biosynthesis (dre00061), terpenoid backbone biosynthesis (dre00900), fatty acid metabolism (dre01212), apoptosis (dre04210), and the MAPK signaling pathway (dre04010) (Figure 5F). After correction for multiple hypothesis testing, the steroid biosynthesis (dre01212) pathway was found to be significantly enriched in DEGs (padj < 0.05). Notably, the expression of tnfrsf1a, ddit3, diabloa, gadd45aa, il1rap, tfr1a, lpcat3, and ncoa4 was upregulated, whereas the expression of dhcr7, miox, sqlea, lss, dhcr24, mvda, hmgcr, acaca, and acsl3 was downregulated in steroid biosynthesis, ferroptosis, fatty acid biosynthesis, terpenoid backbone biosynthesis, apoptosis, and MAPK signaling pathways.

3.7 qRT-PCT validation of DEGs

Nine genes were selected from the oxidation-reduction process, steroid biosynthesis, and ferroptosis pathways and validated by qRT-PCR. The results showed that tp53i3, miox, p4501a1, sc5d, nsdhl, hmgcr, acaca, and acsl3 were downregulated and hmgcr was upregulated (Figure 6), which was in agreement with the results of the transcriptome prediction, indicating that the prediction data were real and reliable.

FIGURE 6.

FIGURE 6

qRT-PCR validation analysis of DEGs in Paralichthys olivaceus. Note: Values in the graphs are mean ± SE (n = 3); * Indicates that the target gene is significantly different between the control (Control) and treatment (Del) groups.

4 Discussion

In recent years, an increasing number of studies have shown the negative effects of Del on aquatic animal health (Ning et al., 2020; Alnoaimi et al., 2021). Aquatic animals are more sensitive to pyrethroids, which can also have some negative effects at low doses (Elia et al., 2017).

The half-lethal concentration (LC50) is an important parameter for measuring the degree of toxicity of substances present in water to animals (Pereira et al., 2020). Therefore, studying the LC50 values of Del in aquatic animals provides a more intuitive understanding of the magnitude of drug toxicity in organisms. Del’s LC50 for African clawed frog (Xenopus laevis) tadpoles was 6.26 μg/L (168 h); 6.5 μg/L (24 h), 5.0 μg/L (48 h) and 2.8 μg/L (96 h) for Eriocheir sinensis; 6.194 μg/L for gibel carp; 1.94 μg/L for snakehead (C. argus), and 102.1 μg/L (120 h) for zebrafish embryos (Aydin-Sinan et al., 2012; Ning et al., 2020; Wu et al., 2022; Kong et al., 2021; Miao et al., 2023). In this study, the 96 h LC50 of Del was 0.35 μg/L for P. olivaceus, indicating that P. olivaceus is highly sensitive to Del. Fish, such as P. olivaceus, gibel carp, and snakehead, have different tolerances to Del, which may be related to conditions such as species, developmental period, and temperature (Wang et al., 2022; Kadiene et al., 2017).

The study of the bioaccumulation of deltamethrin is an important indicator for analysing its toxicity and detoxification mechanism. In the present study, a positive correlation was observed between the residual levels of deltamethrin (Del) and the exposure concentrations, with the highest residue detected in the 0.28 μg/L concentration group (0.0684 mg/kg at 7 days). Notably, in Labeo rohita, exposure to 10 mg/L Del for 96 h resulted in a residual concentration of 2.33 mg/kg (Hazarika et al., 2024). In contrast, the blue mussel (Mytilus edulis) demonstrated a relatively low accumulation level (118.3 ng/g at 14 days), with an elimination half-life (t1/2) of 0.83 days (Brooks et al., 2019). Zebrafish exhibited an 8.21% accumulation of deltamethrin after 96 h, while no detectable accumulation was observed in the African clawed frog (X. laevis) following 24 h of exposure (Pereira et al., 2023; Wolmarans et al., 2022). These findings highlight that the accumulation of deltamethrin in organisms varies significantly depending on exposure concentration, duration, and species-specific factors.

The gills and liver are integral to the regulation of osmotic pressure and immune metabolism in fish (Cunha et al., 2018). In aqueous environments, Del can directly contact the gill biofilm structures and epithelial cells, destroying the gill tissue structure of fish (Arslan et al., 2017; Wu et al., 2022). In the present study, it was found that the gill tissues of the treatment group showed different degrees of damage (e.g., swelling, fusion, and detachment of SL, and cell necrosis) and were positively correlated with the Del dose, which was similar to the results of gill tissue damage in gibel carp (Wu et al., 2022). Gill morphology is closely related to the tolerance of fish to hypoxic environments (Turko et al., 2020). Therefore, we speculated that chronic exposure to Del causes structural damage to the gill tissues of P. olivaceus, inducing oxidative stress in the fish. Del-treated liver tissues showed vacuolization, increased cell gap, dilated central vein of the liver lobule, hepatocyte lesions, and necrosis; and the degree of tissue damage was proportional to the concentration of Del. These liver damage phenomena also appeared in other aquatic organisms, such as gibel carp, Nile tilapia (Oreochromis niloticus), marsh frog (Pelophylax ridibundus) (Arslan et al., 2017; Kan et al., 2012; Alnoaimi et al., 2021).

Enzymes in the blood are closely related to an animal’s health, metabolism, and immunity, and when the body functions abnormally, the activity of the relevant enzymes in the blood changes rapidly (Gao et al., 2022). The CAT enzyme activities of the treatment groups in this study were all significantly lower than those of the control group (P < 0.05), indicating a decrease in the antioxidant capacity of the fish bodies, and the same results were reported in rat gilthead seabream (Xu et al., 2015; Guardiola et al., 2014). The innate immune system constitutes the primary line of defense in fish, and lysozyme (LZM) is an important defense factor of innate immunity, which is one of the important markers of immunotoxicity in fish that can help the organism to defend itself against external stimuli and respond rapidly (Li and Li, 2021). LZM activities in the high-concentration group (0.14 and 0.28 μg/L) were significantly elevated compared to the control group, potentially attributable to the inflammatory response elicited by prolonged exposure to Del (Arslan et al., 2017). AKP activity was significantly reduced in the treatment group compared to the control group (P < 0.05), indicating that Del may induce metabolic disturbances (Lu et al., 2019; Guardiola et al., 2014).

Transcriptomics is commonly used to parse molecular regulatory pathways and identify key genes when organisms are subjected to external environmental stress (Wu et al., 2022). The transcriptome results of this study showed that DGEs were significantly enriched in pathways such as ferroptosis, apoptosis, and oxidation-reduction. Genes encoding tumor necrosis factor superfamily members (tnfrsf1a) and lysophosphatidylcholine acyltransferase 3 (lpcat3) were upregulated. Tnfrsf1a is involved in the immune response and is an important inflammatory factor (Gao et al., 2020). However, overexpression of lpcat3 ameliorates inflammation and fibrosis (Tian et al., 2024). The upregulation of the tnfrsf1a gene in the present study was consistent with the results of LZM enzyme activity in the serum, suggesting that chronic exposure to Del induces an inflammatory response in P. olivaceus. The upregulation of lpcat3 may be caused by self-regulation to alleviate the inflammatory response caused by the upregulation of tnfrsf1a. Both gill section and serum CAT enzyme activity demonstrated that the fish were under oxidative stress. Tumor protein p53 Induced protein three gene (tp53i3) is among the genes activated by p53, and it plays a critical role in the DNA damage response and apoptosis induced by oxidative stress (Chaudhry et al., 2021). tp53i3 promotes the proliferation, migration, and invasion of cancer cells, and the downregulation of this gene promotes apoptosis (Chen et al., 2021). Myo-inositol oxygenase (Miox) is a proximal tubular enzyme, and its overexpression exacerbates cellular redox damage and inflammatory responses in acute kidney injury (AKI), and p53 activation enhances miox expression (Deng et al., 2019; Dutta et al., 2017). In this study, both tp53i3 and miox genes were enriched in the oxidation-reduction process pathway, and gene expression was downregulated compared to the control group, which may be the body’s response to defend against oxidative stress by mediating the expression of tp53i3 and regulating the expression of p53 and miox to attenuate cellular redox damage and inflammatory responses.

In summary, Del causes damage to the gill and liver tissue of P. olivaceus. It is worth noting that Del not only causes oxidative stress and metabolic disorders, but also induces inflammatory reactions. We speculated that fish respond to Del stress through a complex regulatory network to counteract the damage caused by oxidative stress and inflammation.

5 Limitations

It is noteworthy that deltamethrin has been confirmed to exert multiple toxic effects on fish. This study was conducted exclusively on P. olivaceus, and thus, the findings may not be generalizable to other fish species. The experimental parameters, such as exposure concentration and duration, may not fully replicate conditions found in natural ecosystems. Furthermore, the mechanisms underlying the accumulation and metabolic pathways of deltamethrin in P. olivaceus remain to be fully elucidated. In future research, we plan to conduct a 14-day subacute exposure experiment to assess the impact of deltamethrin on P. olivaceus. This study will involve quantifying its bioaccumulation levels in the fish and determining the corresponding half-life. Subsequently, metabolomic approaches will be employed to delineate the metabolic pathways involved. Lastly, we will explore the potential of phytoremediation strategies, such as the use of Egeria densa plants, to mitigate the accumulation of deltamethrin in P. olivaceus tissues.

Funding Statement

The author(s) declare that financial support was received for the research and/or publication of this article. This work was supported by Central Public-Interest Scientific Institution Basal Research Fund, CAFS (2023TD41), Hebei Natural Science Foundation (No. C2023107012), China Agriculture Research System (CARS-47), the Key R&D Program of Hebei Province, China (21326307D), and the National Marine Genetic Resource Center.

Data availability statement

The original contributions presented in the study are publicly available. This data can be found here: https://bigd.big.ac.cn/gsa/browse/CRA022848.

Ethics statement

The animal study was approved by the Animal Care and Use Committee of Beidaihe Central Experiment Station, Chinese Academy of Fishery Sciences. The study was conducted in accordance with the local legislation and institutional requirements.

Author contributions

BL: Data curation, Writing–original draft, Methodology, Validation. GW: Investigation, Methodology, Writing–original draft. XZ: Methodology, Writing–original draft. ML: Data curation, Writing–original draft. YY: Data curation, Writing–original draft. YR: Data curation, Writing–original draft. YZ: Data curation, Writing–original draft. YL: Resources, Writing–original draft. ZH: Resources, Writing–original draft. JR: Resources, Writing–original draft. HW: Data curation, Writing–original draft. WC: Resources, Writing–original draft. YW: Resources, Writing–original draft. XZ: Conceptualization, Data curation, Investigation, Methodology, Writing–review and editing. JH: Conceptualization, Writing–review and editing, Resources.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Generative AI statement

The author(s) declare that no Generative AI was used in the creation of this manuscript.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/ftox.2025.1560192/full#supplementary-material

DataSheet2.pdf (82.8KB, pdf)
Table1.xls (11.3MB, xls)
Image1.TIF (2.3MB, TIF)
DataSheet3.pdf (296.8KB, pdf)
DataSheet1.pdf (53KB, pdf)

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

DataSheet2.pdf (82.8KB, pdf)
Table1.xls (11.3MB, xls)
Image1.TIF (2.3MB, TIF)
DataSheet3.pdf (296.8KB, pdf)
DataSheet1.pdf (53KB, pdf)

Data Availability Statement

The original contributions presented in the study are publicly available. This data can be found here: https://bigd.big.ac.cn/gsa/browse/CRA022848.


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