Next Article in Journal
The Aryl Hydrocarbon Receptor in Neurotoxicity: An Intermediator Between Dioxins and Neurons in the Brain
Previous Article in Journal
Liraglutide Attenuates Atorvastatin-Induced Hepatotoxicity by Restoring GLP-1R Expression and Activating Nrf2 and Autophagy Pathways in Wistar Rats
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Accumulation Patterns and Health Risk Assessment of Trace Elements in Intermuscular Bone-Free Crucian Carp

1
Heilongjiang River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Harbin 150070, China
2
Supervision, Inspection and Testing Center for Fishery Environment and Aquatic Products (Harbin), Ministry of Agriculture and Rural Affairs, Harbin 150070, China
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Toxics 2025, 13(7), 595; https://doi.org/10.3390/toxics13070595
Submission received: 22 June 2025 / Revised: 13 July 2025 / Accepted: 14 July 2025 / Published: 16 July 2025
(This article belongs to the Special Issue Effects of Toxic Contaminants on Fish Behaviours)

Abstract

This study investigated the accumulation characteristics and associated health risks of 11 trace elements (Al, Rb, Cr, Ni, Mo, Sr, Pb, Ba, Ag, As, and Ga) in four crucian carp varieties: gene-edited intermuscular bone-free crucian carp (Carassius auratus, WUCI) and its sibling wild-type (Carassius auratus, WT), Fangzheng silver crucian carp (Carassius gibelio var Fangzheng, FZYJ), and Songpu silver crucian carp (Carassius gibelio var Songpu, SPYJ). Results showed that Al and Rb were the most abundant elements across all groups. WUCI exhibited distinct accumulation patterns, including significantly higher hepatic Mo concentrations (0.265 ± 0.032 mg/kg) and muscle/liver Rb levels (muscle: 8.74 ± 1.21 mg/kg; liver: 12.56 ± 2.05 mg/kg) compared to other varieties (p < 0.05), which supports the hypothesis of genotype-specific differences in heavy metal accumulation. Correlation analysis revealed that WUCI exhibited similar elemental interactions with WT and SPYJ (e.g., Al-Ni positive correlation, |rs| ≥ 0.8), while SPYJ displayed distinct patterns with fifteen negative correlations compared to three to five in others varieties, suggesting a potential alteration in elemental homeostasis. Pollution index (Pi) assessments indicated mild contamination for Pb in SPYJ liver (Pi = 0.265) and Cr/As in WUCI muscle (Pi = 0.247/0.218). Despite these values, all hazard indices remained below the established safety thresholds (THQ < 0.1, HI < 0.25, TCR < 10−6), reinforcing the overall safety of the tested fish. Notably, muscle As levels (0.86 ± 0.15 mg/kg) exceeded hepatic concentrations (0.52 ± 0.09 mg/kg), potentially due to differential detoxification mechanisms. These findings demonstrate the food safety of all tested varieties, while highlighting genotype-specific metabolic adaptations, providing critical data for evaluating gene edited aquatic products.

Graphical Abstract

1. Introduction

The crucian carp (Carassius auratus), from the family Cyprinidae, is an economically important valuable freshwater species, prized for its adaptability, rapid growth, high reproductive capacity, and nutritional value [1,2,3]. However, numerous intermuscular bones (IBs) present significant challenges: increasing choking hazards, complicating food processing, and potentially reducing meat freshness, all of which diminish its commercial value [4]. To address these issues, selective breeding, hybridization, gynogenesis etc. was applied in cyprinids including the crucian carp to create new strain with fewer IBs [5,6]. While these advances represent progress, complete IB elimination remained elusive until the application of gene-editing technologies targeting key osteogenic genes (runx2b and bmp6), which successfully produced a novel gene-edited intermuscular bone-free crucian carp strain (WUCI) [7,8,9]. This breakthrough not only improves culinary quality but also provides valuable insights for quality improvement in other cyprinid species.
Although WUCI demonstrates clear advantages in processing efficiency, the food safety was not comprehensive evaluated. Our prior studies identified significant bioaccumulation changes in seven essential metals (Mg, Mn, Fe, Cu, Zn, Se, K) in WUCI crucian carp [8]. Specifically, hepatic Fe and Se levels were elevated compared to wild-type (Carassius auratus, WT) controls, while muscular profiles remained unchanged [8], implying genotype-dependent metabolic modulation. These findings underscore the critical necessity for systematic multielement analysis to comprehensively evaluate potential food safety implications.
The biological roles of metallic elements in fish physiology demonstrate a complex duality: while essential trace elements like copper (Cu) and zinc (Zn) play crucial roles in enzymatic functions, hematopoiesis, and immune response [10,11,12,13], toxic heavy metals such as cadmium (Cd) and lead (Pb), when accumulated, tend to impair antioxidant defenses and can cause mortality at high concentrations in vital organs (e.g., gill and liver) [14,15]. Acute toxicity studies establish the following potency ranking: Cu > Cd > Zn > Cr [15]. Our previous studies have revealed that the accumulation patterns of elements such as Rb, Cr, Sr, Ba, Ag, and As are significantly influenced by geographical environmental differences, while Ga and Ni are primarily affected by electronic waste contamination in the environment. Additionally, Al accumulation may contribute to the development of neurodegenerative diseases, and Mo, as an essential trace element, plays a crucial role in enzymatic synthesis [16,17,18]. However, there remains a lack of data on the bioaccumulation of these elements in genetically modified aquatic species. Of particular concern is the potential for trophic transfer of these elements through human consumption, which necessitates rigorous monitoring of metal levels in food fish [17,18]. In recent years, the application of gene-editing technologies (e.g., bmp6 knockout in intermuscular bone-less crucian carp) in fish breeding has raised concerns about potential alterations in heavy metal metabolism, which may involve dysregulation of ion transport systems and impairment of detoxification mechanisms [8]. However, current research on heavy metal accumulation in gene-edited fish remains limited. Notably, safety assessments of commercially available gene-edited fish varieties (such as genetically modified salmon in the United States) have primarily focused on growth performance traits, while systematic analyses of elemental accumulation patterns are conspicuously lacking [6].
Building upon our previous findings on the concentrations of seven essential elements in WUCI liver tissue, this study extends the investigation by systematically comparing the trace element profiles in both muscle and liver tissues across four genetically distinct fish strains, including WT, WUCI, Fangzheng silver crucian carp (Carassius gibelio var Fangzheng, FZYJ), and Songpu silver crucian carp (Carassius gibelio var Songpu, SPYJ). We further assess potential contamination levels and conduct comprehensive health risk evaluations to thoroughly address the implications for food safety. These investigations not only fill critical knowledge gaps regarding elemental metabolism in genetically modified carp, but also provide valuable methodological frameworks for future research on IB free cyprinids.

2. Materials and Methods

2.1. Experimental Materials

The WUCI strain used in this study was generated and maintained in our laboratory through a targeted knockout of the Bmp6 [8]. The reproduction and larval culture of WUCI strain was similar to our previous study [8] and simply described as below. Parental fish were reared in a 700 m2 outdoor pond. These fish were injected with specific oxytocin drugs to induce spawning, including luteinizing hormone-releasing hormone (LRH-2, 4 μg/kg body weight); domperidone (DOM, 1 mg/kg body weight), and human chorionic gonadotropin (HCG, 100 U/kg body weight). The fertilized eggs were then incubated in 24 cm × 20 cm × 24 cm incubation tanks at a control condition with a constant temperature range of 22–23 °C. After hatching, larvae were fed Artemia 4 times/day until they reached a body length of 2–3 cm (SL). Upon reaching this size, 1000 larvae were then transferred to a 500 m2 outdoor pond and fed artificial feed twice a day. The wild-type (WT), Fangzheng silver crucian carp (FZYJ), and Songpu silver crucian carp (SPYJ) strains were all kept in our laboratory, the reproduction and larval culture was conducted at the same time with the same procedure to the WUCI strain. All four crucian carp strains were cultured at the Hulan Experimental Station of Heilongjiang Fisheries Research Institute of Chinese Academy of Fishery Sciences (HRFRI).

2.2. Sample Pretreatment and Analysis

The experimental trial was conducted over a 4-month culture period (April–August 2023). At harvest, ten representative fish per strain (WUCI, WT, FZYJ, and SPYJ) were randomly sampled for analysis. Biometric measurements of sampled specimens are summarized in Table 1. Their muscle and liver tissues were homogenized. The samples were stored at −20 °C before trace element analysis. The tissue sample preparation protocol was developed in our research laboratory and validated for crucian carp analysis [17,18]. Briefly, 0.5 g of muscle or liver tissue was digested with 5 mL HNO3 (65%, trace metal grade) and 2 mL H2O2 (30%, ultrapure) using a microwave digestion system (MARS X, CEM, Matthews, NC, USA). The digestion program consisted of: (1) ramp to 120 °C (10 min hold); (2) ramp to 180 °C (15 min hold); and (3) cooling to 50 °C. After digestion, the acid was evaporated to 0.5 mL, and the volume was adjusted to 10 mL with ultrapure water. Samples that exceeded the linear range of the standard curve were diluted and reanalyzed. Subsequently, the solvent and reagent blanks were analyzed using an Inductively Coupled Plasma-Mass Spectrometer (ICP-MS) 7500cx (Agilent, Santa Clara, CA, USA), equipped with an eight-stage rod collision/reaction cell system. Eleven elements (Al, Rb, Cr, Ni, Mo, Sr, Pb, Ba, Ag, As, Ga, Cd, Cu) were selected to reveal the presence of trace elements in crucian carp in the present study. The detailed detection procedures and quality control were as described in our previous study (Table S1) [17,18]. For quality assurance, 5% to 10% of the samples were randomly selected and analyzed six times to ensure repeatability. A certified reference material (prawn, GBW 10050), provided by the Chinese Institute of Geophysical and Geochemical Survey, was used to verify the determination of this standard, and recoveries between 90.0% and 110% were obtained (Table S2). The relative standard deviations (RSDs) and measurement uncertainties for all elements were lower than 10% (Table S2 and Table S3). The final data were calculated based on wet weight.

2.3. Heavy Metal Pollution Evaluation

For pollution assessment, five regulated heavy metals (Cu, Pb, Cd, Cr, and As) were selected based on their prevalence in aquatic environments and their potential risk to human health, in accordance with China’s food safety standards. These metals were evaluated using the single-factor pollution index (Pi) method [18]:
P i = C i C s i
where Pi is the pollution index for the i-th heavy metal in crucian carp tissues; Ci is the measured concentration of the i-th heavy metal (mg/kg wet weight); and Csi refers to the maximum permissible limit for the i-th heavy metal according to Chinese regulatory standards (mg/kg).
Reference thresholds are based on NY 5073-2006 (Maximum levels of toxic and hazardous substances in pollution-free aquatic products), GB 2762-2022 (National food safety standards—Maximum levels of contaminants in foods).
Pollution levels were classified based on the established pollution index criteria for aquatic products as follows:
Pi < 0.2: Background level (unpolluted)
0.2 ≤ Pi < 0.6: Mild pollution
0.6 ≤ Pi < 1.0: Moderate pollution
Pi ≥ 1.0: Severe pollution

2.4. Health Risk Assessment

Methodology for assessing health risks of heavy metals using estimated daily intake (EDI):
E D I = C i × D i A W
where Di denotes the daily intake rate of Carassius auratus for adult Chinese individuals; Ci (μg/kg wet weight) represents the measured concentration of each heavy metal in fish tissue; Di (kg/day) is the daily consumption rate of crucian carp, estimated as 30.68 g/day based on China’s per capita aquatic product consumption [19]; and AW refers to the average body weight of Chinese adults (61.75 kg).
The target hazard quotient (THQ) was employed to assess potential non-carcinogenic health risks associated with heavy metal exposure through fish consumption (USEPA, 2000). The THQ is calculated as:
T H Q i = E D I R f D × 10 3
where EDI represents the estimated daily intake of metals (mg/day) and RfD denotes the oral reference dose (mg/kg/day), with established values for: Cu: 0.04, Zn: 0.05, Pb: 0.004, Cd: 0.001, Cr: 1.5 (USEPA, 2010). A THQ value ≥ 1 indicates potential health concerns [18]. The reference dose (RfD) represents the maximum daily exposure that is unlikely to cause adverse effects during a lifetime [18,19,20].
For the cumulative risk assessment of multiple metals, the hazard index (HI) was calculated as the sum of individual THQ values:
H I = i = 1 n T H Q i
Chronic exposure to carcinogenic metals was evaluated using the target cancer risk (TCR) model:
T C R = E F r × E D × E D I × C S F i A W × A T × 10 3
where EFr: exposure frequency (365 days/year); ED: exposure duration (70 years for adults); AT: averaging time (70 years × 365 days); and CSF: cancer slope factor, with values: Cr: 0.5 mg/kg/day, Ni: 1.7 mg/kg/day, As: 1.5 mg/kg/day, Pb: 0.0085 mg/kg/day. According to USEPA guidelines [18,19,20], the recommended TCR range is 1 × 10−6 to 1 × 10−4, where:
TCR > 10−4 indicates unacceptable risk
10−6 < TCR < 10−4 suggests tolerable risk
TCR < 10−6 represents negligible risk
Here, the TCR values are used to assess the potential cancer risk associated with heavy metal exposure. It is crucial to note that a TCR > 10−4 would suggest a need for intervention or mitigation, as this level of exposure is considered hazardous to human health.

2.5. Statistical Analysis

The concentrations of trace elements (Al, Rb, Cr, Ni, Mo, Sr, Pb, Ba, Ag, As, Ga) in muscle and liver tissues of the four crucian carp strains were analyzed to assess their accumulation and enrichment patterns using R software (version 4.2.1). Inter-group differences were assessed by one-way analysis of variance (ANOVA), with post hoc multiple comparisons conducted using the least significant difference (LSD) method when significant differences were observed.
Data normality was verified by the Shapiro–Wilk test (p > 0.05), and homogeneity of variance was confirmed using the Levene’s test (p > 0.05). Spearman’s correlation analysis was employed to examine the relationships among trace element concentrations in different tissues across the four strains to identify potential accumulation patterns. A threshold of p < 0.05 was set for statistical significance.

3. Results and Discussion

3.1. Comparative Analysis of Trace Element Profiles in Four Crucian Carp Strains

As an economically important freshwater fish, crucian carp serves as both a nutritional source of essential trace elements and a potential bioaccumulator of hazardous metals [21,22]. This study investigates the tissue-specific distribution of 11 elements (Al, Rb, Cr, Ni, Mo, Sr, Pb, Ba, Ag, As, and Ga) in muscle and liver tissues across four genetically distinct variants: gene-edited IB-free strain (WUCI) and its wild-type sibling (WT), Songpu silver crucian carp (SPYJ), and Fangzheng silver crucian carp (FZYJ). The analysis revealed Al and Rb as the predominant elements in both tissues, followed by Cr, Ni, Mo, Sr, and Pb, with Ba, Ag, As, and Ga occurring at trace levels (Figure 1a,b). Notably, WUCI exhibited unique accumulation patterns, including significantly elevated hepatic Mo (vs. FZYJ/SPYJ, p < 0.05) and Rb (vs. WT/SPYJ, p < 0.05), potentially linked to altered purine metabolism and ion transport regulation following bmp6 knockout [8,23]. Muscle tissue analysis showed WUCI exhibited reduced Al, Ni, Sr, Ag, and Ga, but increased Ba compared to other variants (p < 0.05). These patterns correlate with its slower growth phenotype and mirror findings in other aquatic species, where these elements associate with growth rate [6,18]. In this study, the concentrations of Ni, Cd, As, and Cr were consistent with previous reports. However, Pb levels in Spanish freshwater fish exceeded our measurements by more than 5-fold. This substantial discrepancy likely results from localized pollution sources, particularly the ingestion of spent Pb shot pellets—a contamination pathway well-documented in waterbirds [24]. These results demonstrate that both genetic modification (particularly growth-affecting edits such as bmp6) and inherent growth characteristics significantly influence elemental metabolism, underscoring the importance of conducting comprehensive safety assessments that evaluate both nutritional quality and potential toxicological risks in genetically engineered aquatic products. The distinct elemental profiles observed, especially WUCI’s higher Rb and Mo levels coupled with reduced growth-associated elements, underscore the complex interplay between genetic traits, metal homeostasis, and physiological performance in genetical modified fish strains.

3.2. Correlation Analysis of Trace Elements in Crucian Carp Tissues

This study employed Spearman’s correlation analysis to examine the bioaccumulation patterns of trace elements in muscle and liver tissues in four variants of crucian carp. Statistically significant correlations (p < 0.05) were observed in multiple element pairs: WUCI (thirteen positive, four negative), WT (eighteen positive, three negative), FZYJ (ten positive, five negative), and SPYJ (sixteen positive, fifteen negative) (Table 2a–d). Notably, WUCI exhibited exclusively positive correlations among Al, Cr, Ni, Ga, Mo, and Pb, with the strongest positive associations observed for Al, Ni, Ga, As, and Ag, followed by Cr, Rb, Sr, Mo, Pb, and Ba. Silver (Ag) demonstrated the highest number of negative correlations in WUCI, indicating the potential presence of complex toxicity mechanisms.
Strong correlations (|rs| ≥ 0.8) were found to reveal distinct inter-element relationships in certain variants: WUCI showed Ni-Al, Ga-Al/Ni, Sr-As, Ag-Ga/Rb, and Pb-Cr associations; WT displayed Ni-Cr, Ga-Al/Cr, and Ba-Sr linkages; FZYJ exhibited Sr-Rb, Mo-Al/Cr/As, and Pb-Ag connections; and SPYJ demonstrated Cr-Al, Ni-Al/Cr, Ga-Al, As-Cr, Rb-Cr, and Mo-Cr/Ga interactions. These patterns suggest potential metabolic synergism or antagonism among the elements, with variant-specific differences suggesting alterations in physiological metabolism in WUCI [25].
Comparative analysis revealed similar numbers of positive correlations among WUCI (13), WT (18), and FZYJ (10), whereas SPYJ showed markedly more negative correlations (16) than other variants (WUCI: 4, WT: 3, FZYJ: 5). This observation supports the hypothesis of conserved elemental metabolic pathways in WUCI, WT, and FZYJ, whereas SPYJ exhibits divergent mechanisms, as indicted by its unique correlation patterns. Particularly, Ga-As and Sr-Mo pairs showed no significant correlations in WUCI, WT and FZYJ, but exhibited significant negative correlations in SPYJ (p < 0.05), further supporting functional conservation among the former three variants [26]. The observed statistical independence of Ba from other elements in SPYJ could suggest its involvement in distinct physiological processes, potentially warranting further investigation. These findings collectively demonstrate variant-specific differences in elemental interactions, which may reflect differential metabolic capabilities between the variants [27].

3.3. Assessment of Heavy Metal Contamination Levels

To evaluate heavy metal contamination in the four crucian carp variants, we calculated the pollution index (Pi) for Cr, As, Pb, Cu, and Cd using Equation (1). The results presented in Table 3 showed that Pi values ranging from 0.001 to 0.265 across all samples. Notably, both muscle and liver tissues of WT and FZYJ exhibited clean levels (Pi < 0.2) for all elements analyzed. However, two exceptions were observed: (1) the liver of SPYJ exhibited slightly elevated Pb levels (0.2 < Pi < 0.6), and (2) the liver of WUCI demonstrated marginally higher Cu accumulation (0.2 < Pi < 0.6). In muscle tissue, WUCI exhibited slight contamination for Cr and As, while SPYJ showed elevated Pb levels (0.2 < Pi < 0.6).
These findings are consistent with our previous comparative study of common carp, crucian carp, and grass carp from identical aquaculture environments, where crucian carp showed consistently higher heavy metal accumulation (Pi = 0.163) comparable to the current values of WT (0.189) and FZYJ (0.170) [28]. This pattern may reflect species-specific differences in growth rate, feeding habits, and age-related metabolic processes. Although Cr, As, and Pb are potentially toxic, crucian carp possess detoxification mechanisms to convert these elements into less harmful forms, thereby reducing environmental toxicity at certain concentrations [29].
The variant-specific accumulation patterns suggest distinct metal regulation strategies: SPYJ’s hepatic Pb accumulation likely relates to its enhanced metabolic demands from rapid growth, while WUCI’s muscle Cr/As accumulation may stem from altered metabolic pathways due to bmp6 gene editing. Although all Pi values were below 0.3, certain elements (As, Pb, and Cr) reached mild contamination levels, necessitating further dietary risk assessment.

3.4. Potential Health Risk Assessment

The target hazard quotient (THQ) and hazard index (HI) for As, Cd, Cr, Cu, Fe, Mn, Ni, Pb, and Zn in the liver and muscle tissues of the four crucian carp variants are provided in Table 4. In this study, all THQ and HI values for both liver and muscle were below 1, indicating an absence of significant non-carcinogenic health risks from individual or combined metal intake through consumption of these freshwater fish. Notably, muscle tissues showed slightly higher HI values than liver tissues, primarily due to the presence of Cr and As.
Chromium, an essential cofactor in glucose metabolism, readily binds to muscle proteins, such as insulin receptors and other proteins involved in energy metabolism, participating in the regulation of cellular energy balance. Although the liver serves as the primary detoxification organ for chromium, it is predominantly excreted via bile, leading to reduced residual concentrations in the body [29]. Our previous research demonstrated that the liver of crucian carp efficiently detoxifies arsenic by enzymatically converting As(III) to As(V) or conjugating it with glutathione, facilitating its excretion via bile. In contrast, muscle tissues accumulate higher arsenic levels due to the stable formation of complexes between arsenic and thiol-rich proteins, which impedes the elimination process [30].
Since Cd concentrations were below the detection limit, the calculation of THQ and TCR calculations was not performed. The highest THQ was observed in the WUCI muscle (Cr THQ = 0.0648), with HI values ranging from 0.1149 to 0.2432, indicating varying levels of potential health risk. These findings align with prior studies reporting HI values < 1 for aquatic products in Northeast China (fish: 0.11–0.226; crustaceans: 0.0905–0.683; amphibians: 0.0658–0.357) [18,28,31].
Target cancer risk (TCR) was calculated for As, Ni, and Pb, as these elements are classified as carcinogens. TCR evaluates potential lifetime cancer risks associated with carcinogen intake. As shown in Table 4, the calculated TCR values for Cr, Ni, As, and Pb were all below 10−6, which, according to USEPA guidelines (USEPA, 1987) [20,31], indicates a negligible lifetime cancer, considered acceptable under regulatory standards.
The extremely low TCR values (<10−6) in this study confirm that the lifetime consumption of these fish poses no significant carcinogenic risk from Cr, Ni, As, or Pb exposure. These results support the overall food safety of the analyzed crucian carp variants, though continued monitoring is recommended to account for potential environmental fluctuations in metal bioavailability, as environmental factors such as water pH, temperature, and pollutants may influence the bioavailability and accumulation of heavy metals in aquatic organisms.

4. Conclusions

This study systematically investigates the elemental accumulation and food safety characteristics of four crucian carp varieties: gene-edited intermuscular bone free crucian carp (WUCI) and its sibling wild-type (WT), Songpu silver crucian carp (SPYJ), and Fangzheng silver crucian carp (FZYJ). The results reveal distinct elemental accumulation patterns among the varieties: WUCI shows unique hepatic Mo enrichment and abnormal Rb accumulation, SPYJ displays a specialized elemental regulatory network, while WT and FZYJ exhibit relatively conservative metabolic profiles. Comprehensive health risk assessments (THQ/HI < 1, TCR < 10−6) confirm that all varieties meet safety standards, with only minimal contamination observed in specific elements, such as Pb in SPYJ liver and Cr/As in WUCI muscle. Notably, the study identifies a paradox where muscle As levels exceed hepatic concentrations, attributable to the liver’s efficient detoxification mechanisms and the strong binding capacity of muscle tissues. These findings provide scientific evidence supporting the food safety of crucian carp, and establish a theoretical foundation for research on fish elemental metabolism and the breeding of superior varieties with optimized elemental profiles.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/toxics13070595/s1, Table S1: Operation parameters of HPLC-ICP-MS (Agilent 7500 cx); Table S2: Summary of analyte masses, elements for internal standard method (ISTD), analytical conditions for octopole reaction system (ORS), correlation coefficient of standard curve (R), limits of detection (LOD), limit of quantification (LOQ), and results of quality control for study elements; Table S3: Quantifying uncertainty in analytical measurement.

Author Contributions

Conceptualization, Y.K. and Z.C.; methodology, S.T., N.L. and D.Q.; software, S.T. and T.Y.; validation, S.T., D.Q. and T.Z.; formal analysis, Z.C., Z.S. and S.T.; investigation, Y.K., T.Z., H.X., S.T. and N.L.; resources, Z.C. and Z.S.; data curation, T.Z., H.X. and S.T.; writing—original draft preparation, S.T. and N.L.; writing—review and editing, S.T., N.L. and Y.K.; visualization, S.T., Z.C. and Z.S.; supervision, Z.C. and Z.S.; project administration, Y.K.; funding acquisition, Y.K. and S.T. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by National Key Research and Development Program of China (2023YFD2400300), the Central Public Interest Scientific Institution Basal Research Fund (2023XT0401, 2022YJ06, 2023TD22, 2023TD60), and the Central Public Interest Scientific Institution Basal Research Fund, HRFRI (NO. HSY202503Z).

Institutional Review Board Statement

The methodology employed in this work was approved by the Ethics Committee on the Use of Animals of Heilongjiang River Fisheries Research Institute, Chinese Academy of Fishery Sciences (Approval Code: 20230301-001, Approval Date: 1 March 2023). All methods were carried out in accordance with relevant guidelines and regulations. This study is reported in accordance with ARRIVE guidelines.

Informed Consent Statement

Not applicable.

Data Availability Statement

The datasets used and analyzed during the current study are available from the corresponding author on reasonable request.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Chen, L.; Yang, Y.; Rizwan, M.; Yue, D.D.; Khan, I.M.; Yao, F.; Zhong, J.; Huang, S.J. Compensatory growth in gibel carp (Carassius auratus gibelio) after the stress of stocking density. Aquac. Res. 2021, 52, 1697–1704. [Google Scholar] [CrossRef]
  2. Tang, J.; Wang, W.Q.; Jiang, Y.; Chu, W. Diazinon exposure produces histological damage, oxidative stress, immune disorders and gut microbiota dysbiosis in crucian carp (Carassius auratus gibelio). Environ. Pollut. 2021, 269, 116129. [Google Scholar] [CrossRef] [PubMed]
  3. Zhang, L.; Zhang, P.J.; Xia, C.G.; Cheng, Y.; Guo, X.Y.; Li, Y.H. Effects of malic acid and citric acid on growth performance, antioxidant capacity, haematology and immune response of Carassius auratus gibelio. Aquac. Res. 2020, 51, 2766–2776. [Google Scholar] [CrossRef]
  4. Lyall, B.A.; Witten, P.E.; Carter, C.G.; Perrott, M.R.; Symonds, J.E.; Walker, S.P.; Waddington, Z.; Amoroso, G. The problems with pin bones: Intermuscular bone development and function in salmonids and their implications for aquaculture. Rev. Aquac. 2024, 16, 1981–1995. [Google Scholar] [CrossRef]
  5. Zhang, X.B.; Fu, J.J.; Luo, M.K.; Cai-rang, Z.M.; Min, Q.W.; Hu, J.L.; Zeng, S.; Luo, T.X.; Zhu, W.B.; Liu, T.; et al. Genetic and reproductive mode analyses of a golden-back mutant of crucian carp from a rice-fish integrated farming system. Aquac. Rep. 2022, 24, 101146. [Google Scholar] [CrossRef]
  6. Olivier, L.C.-B.; Louise, V.; Joseph, C.; Gilles-Éric, S. Factors to consider before production and commercialization of aquatic genetically modified organisms: The case of transgenic salmon. Environ. Sci. Policy 2009, 12, 170–189. [Google Scholar] [CrossRef]
  7. Xu, H.; Tong, G.X.; Yan, T.; Dong, L.; Yang, X.X.; Dou, D.Y.; Sun, Z.P.; Liu, T.Q.; Zheng, H.X.; Yang, J.; et al. Transcriptomic analysis provides insights to reveal the bmp6 function related to the development of intermuscular bones in zebrafish. Front. Cell Dev. Biol. 2022, 10, 821471. [Google Scholar] [CrossRef] [PubMed]
  8. Kuang, Y.Y.; Zheng, H.X.; Cao, D.C.; Sun, Z.P.; Tong, G.X.; Xu, H.; Yan, T.; Tang, Z.S.; Chen, Z.X.; Zhang, T.T.; et al. Generate a new crucian carp (Carassius auratus) strain without intermuscular bones by knocking out bmp6. Aquaculture 2023, 569, 739407. [Google Scholar] [CrossRef]
  9. Li, B.; Zhang, Y.W.; Liu, X.; Ma, L.; Yang, J.X. Molecular mechanisms of intermuscular bone development in fish: A review. Zool. Res. 2021, 42, 362–376. [Google Scholar] [CrossRef] [PubMed]
  10. Zhang, C.; Ye, L.; Wang, C.; Xiong, X.F.; Li, Y.Y.; Li, P.J.; Zhang, X.T.; Yu, H.B. Toxic effect of combined exposure of microplastics and copper on goldfish (Carassius auratus): Insight from oxidative stress, inflammation, apoptosis and autophagy in hepatopancreas and intestine. Bull. Environ. Contam. Toxicol. 2022, 109, 1029–1036. [Google Scholar] [CrossRef] [PubMed]
  11. Sadeghi, S.; Mousavi-Sabet, H.; Hedayati, A.; Zargari, A.; Multisanti, C.R.; Faggio, C. Copper-oxide nanoparticles effects on goldfish (Carassius auratus): Lethal toxicity, haematological, and biochemical effects. Vet. Res. Commun. 2024, 48, 1611–1620. [Google Scholar] [CrossRef] [PubMed]
  12. Ghafarifarsani, H.; Hedayati, S.A.; Yousefi, M.; Hoseinifar, S.H.; Yarahmadi, P.; Mahmoudi, S.S.; Doan, H.V. Toxic and bioaccumulative effects of zinc nanoparticle exposure to goldfish, Carassius auratus (Linnaeus, 1758). Drug Chem. Toxicol. 2023, 46, 984–994. [Google Scholar] [CrossRef] [PubMed]
  13. Ghafarifarsani, H.; Hoseinifar, S.H.; Raeeszadeh, M.; Vijayaram, S.; Rohani, M.F.; Doan, H.V.; Sun, Y.Z. Comparative effect of chemical and green zinc nanoparticles on the growth, hematology, serum biochemical, antioxidant parameters, and immunity in serum and mucus of goldfish, Carassius auratus (Linnaeus,1758). Biol. Trace Elem. Res. 2024, 202, 1264–1278. [Google Scholar] [CrossRef]
  14. Wang, N.; Guo, Z.; Zhang, Y.; Zhang, P.; Liu, J.; Cheng, Y.; Zhang, L.; Li, Y. Effect on intestinal microbiota, bioaccumulation, and oxidative stress of Carassius auratus gibelio under waterborne cadmium exposure. Fish Physiol. Biochem. 2020, 46, 2299–2309. [Google Scholar] [CrossRef] [PubMed]
  15. Yadrenkina, E.N.; Bortnikova, S.B.; Yurkevich, N.V.; Korneeva, T.V.; Shevko, A.Y.; Olenchenko, V.V.; Khvachevskaya, A.A. Transfer and distribution of metals and metalloids in Carassius auratus organs from tailings pond and their influence on morphological characteristics. Appl. Sci. 2022, 12, 12446. [Google Scholar] [CrossRef]
  16. Mmanda, F.P. Importance of Minerals and Their Bioavailability in Boosting Aquaculture: A Systematic Review. Aquaculture Fish Fish. 2025, 5, e70067. [Google Scholar] [CrossRef]
  17. Bai, S.Y.; Qin, D.L.; Chen, Z.X.; Wu, S.; Tang, Z.S.; Gao, L.; Wang, P. Geographic origin discrimination of red swamp crayfish Procambarus clarkii from different Chinese regions using mineral element analysis assisted by machine learning techniques. Food Control 2022, 138, 109047. [Google Scholar] [CrossRef]
  18. Tang, Z.S.; Song, D.; Bai, S.Y.; Huang, X.L.; Chen, Z.X.; Wang, P.; Qin, D.L. Trace elements accumulation and health risk assessment of Chinese mitten crab (Eriocheir sinensis) from monoculture and rice-crab co-culture mode. J. Food Compos. Anal. 2023, 123, 105640. [Google Scholar] [CrossRef]
  19. Liu, H.; Liu, G.J.; Yuan, Z.J.; Ge, M.; Wang, S.S.; Liu, Y.; Da, C.N. Occurrence, potential health risk of heavy metals in aquatic organisms from Laizhou Bay, China. Mar. Pollut. Bull. 2019, 140, 388–394. [Google Scholar] [CrossRef] [PubMed]
  20. Wang, Q.; Fan, Z.H.; Qiu, L.P.; Liu, X.L.; Yin, T.Y.; Jamus, I.M.I.; Song, C.; Chen, J.Z. Occurrence and health risk assessment of residual heavy metals in the Chinese mitten crab (Eriocheir sinensis). J. Food Compos. Anal. 2021, 97, 103787. [Google Scholar] [CrossRef]
  21. Zhang, C.C.; Miao, X.; Du, S.; Zhang, T.; Chen, L.Z.; Liu, Y.; Zhang, L. Effects of culinary procedures on concentrations and bioaccessibility of Cu, Zn, and As in different food ingredients. Foods 2023, 12, 1653. [Google Scholar] [CrossRef] [PubMed]
  22. Weng, J.P. The definition and classification of metabolic liver disease. Natl. Med. J. China 2020, 100, 401–406. [Google Scholar]
  23. Tran, T.T.; Prakash, H.; Nagasawa, T.; Nakao, M.; Somanoto, T. Characterization of CD83 homologs differently expressed during monocytes differentiation in ginbuna crucian carp, Carassius auratus langsdorfii. Dev. Comp. Immunol. 2024, 159, 105212. [Google Scholar] [CrossRef] [PubMed]
  24. Sergio, F.T.; Jhon, J.M.P.; María, J.M.; Rosa, C.R.M.D.; Rafael, M. Metals and metalloids in freshwater fish from the floodplain of Tablas de Daimiel National Park, Spain. Ecotoxicol. Environ. Saf. 2021, 208, 111602. [Google Scholar] [CrossRef] [PubMed]
  25. Wang, S.; He, Y.; Wu, X.G.; Cong, J.J.; Wu, J.H.; Diao, H.F.; He, B.; Han, Z. Comparison of biological indicators and umami-related compounds in the gonad and abdomen meats of Eriocheir sinensis during different fattening periods under salinity. Aquac. Res. 2021, 52, 142–151. [Google Scholar] [CrossRef]
  26. Luczynska, J.; Pietrzak-Fiećko, R.; Purkiewicz, A.; Luczyński, M.J. Assessment of fish quality based on the content of heavy metals. Int. J. Environ. Res. Public Health 2022, 19, 2307. [Google Scholar] [CrossRef] [PubMed]
  27. Qi, X.; Yin, H.; Zhu, M.H.; Yu, X.L.; Shao, P.L.; Dang, Z. MgO-loaded nitrogen and phosphorus self-doped biochar: High-efficient adsorption of aquatic Cu2+, Cd2+, and Pb2+ and its remediation efficiency on heavy metal contaminated soil. Chemosphere 2022, 294, 133733. [Google Scholar] [CrossRef] [PubMed]
  28. Qin, D.L.; Tang, Z.S.; Bai, S.Y.; Zheng, M.; Wang, H.T.; Chen, Z.X.; Wu, S.; Mou, Z.B. Heavy Metal Concentrations in Muscle of Fishes from the Northeast China. J. Agro-Environ. Sci. 2014, 2, 264–270. [Google Scholar]
  29. Hasan, G.M.M.A.; Das, A.K.; Satter, M.A.; Asif, M. Distribution of Cr, Cd, Cu, Pb and Zn in organs of three selected local fish species of Turag river, Bangladesh and impact assessment on human health. Emerg. Contam. 2023, 9, 100197. [Google Scholar] [CrossRef]
  30. Tang, Z.S.; Gao, L.; Qin, D.L.; Wang, H.T.; Huang, L.; Wu, S.; Bai, S.Y.; Du, N.N.; Sun, Y.C.; Wang, P.; et al. Toxic Effects of Arsenic on Four Freshwater Aquatic Species and Its Transformation Metabolism in Crucian Carp (Carassius auratus). Toxics 2024, 12, 221. [Google Scholar] [CrossRef] [PubMed]
  31. Tang, Z.S.; Luan, P.X.; Chen, F.; Wang, P.; Qin, D.L.; Chen, Z.X.; Hu, G. Determination and safety evaluation of metal element contents of Oviductus Ranae produced from Rana dybowskii by pond culture–forest grazing relay model in Heilongjiang Province, China. Qual. Assur. Saf. Crops Foods 2024, 16, 111–126. [Google Scholar] [CrossRef]
Figure 1. Concentrations of heavy metals (μg/kg wet weight) in tissues of four crucian carp strains. Shared letters indicate no statistically significant difference (p > 0.05) between groups; Different letters denote statistically significant differences (p < 0.05) between the corresponding groups. (a) Element concentration in muscle tissue; (b) Element concentration in liver tissue.
Figure 1. Concentrations of heavy metals (μg/kg wet weight) in tissues of four crucian carp strains. Shared letters indicate no statistically significant difference (p > 0.05) between groups; Different letters denote statistically significant differences (p < 0.05) between the corresponding groups. (a) Element concentration in muscle tissue; (b) Element concentration in liver tissue.
Toxics 13 00595 g001aToxics 13 00595 g001b
Table 1. Biometric characteristics of sampled fish by strain.
Table 1. Biometric characteristics of sampled fish by strain.
StrainBody Weight (g)Body Length (mm)
WUCI87.70 ± 19.74134.69 ± 9.67
WT70.60 ± 12.43124.29 ± 6.82
FZYJ75.51 ± 17.67128.54 ± 10.50
SPYJ82.09 ± 18.19132.31 ± 8.52
Table 2. (a) Spearman correlation coefficients among trace elements in WUCI strain. (b) Spearman correlation coefficients among trace elements in FZYJ strain. (c) Spearman correlation coefficients among trace elements in WT strain. (d) Spearman correlation coefficients among trace elements in SPYJ strain.
Table 2. (a) Spearman correlation coefficients among trace elements in WUCI strain. (b) Spearman correlation coefficients among trace elements in FZYJ strain. (c) Spearman correlation coefficients among trace elements in WT strain. (d) Spearman correlation coefficients among trace elements in SPYJ strain.
(a)
ElementAlCrNiGaAsRbSrMoAgBaPb
Al1
Cr0.0911
Ni0.952 **−0.0181
Ga0.830 **−0.0790.915 **1
As−0.455−0.152−0.358−0.5271
Rb−0.5760.006−0.588−0.6240.648 *1
Sr−0.503−0.176−0.37−0.4060.830 **0.782 **1
Mo0.0060.770 **−0.0790.018−0.491−0.236−0.4551
Ag0.709 *0.1640.721 *0.806 **−0.709 *−0.818 **−0.709 *0.4791
Ba−0.5640.091−0.43−0.4420.745 *0.4790.624−0.248−0.636 *1
Pb−0.030.842 **−0.091−0.079−0.176−0.236−0.3450.673 *0.1880.2731
(b)
ElementAlCrNiGaAsRbSrMoAgBaPb
Al1
Cr0.5881
Ni0.673 *0.3331
Ga0.2000.1030.3331
As−0.782 **−0.479−0.515−0.3091
Rb−0.648 *−0.358−0.394−0.1760.782 **1
Sr−0.261−0.297−0.091−0.2480.5390.818 **1
Mo0.855 **0.818 **0.673 *0.358−0.806 **−0.721 *−0.5031
Ag0.4670.5390.5270.37−0.745 *−0.345−0.1640.661 *1
Ba−0.479−0.455−0.212−0.2240.4420.709 *0.673 *−0.624−0.1391
Pb0.3330.1270.6240.358−0.552−0.1640.1520.3940.842 **0.1271
(c)
ElementAlCrNiGaAsRbSrMoAgBaPb
Al1
Cr0.697 *1
Ni0.721 *0.879 **1
Ga0.818 **0.891 **0.758 *1
As−0.418−0.321−0.127−0.3941
Rb−0.527−0.479−0.394−0.648 *0.5151
Sr−0.115−0.0910.042−0.2850.733 *0.758 *1
Mo0.673 *0.661 *0.5640.648 *−0.709 *−0.697 *−0.5031
Ag0.6240.685 *0.770 **0.527−0.006−0.3210.2120.5151
Ba0.3450.3090.4180.1760.4060.4180.806 **−0.030.3941
Pb0.636 *0.60.673 *0.6240.345−0.0550.5030.0910.673 *0.697 *1
(d)
ElementAlCrNiGaAsRbSrMoAgBaPb
Al1
Cr0.939 **1
Ni0.818 **0.939 **1
Ga0.842 **0.770 **0.5881
As−0.733 *−0.830 **−0.782 **−0.709 *1
Rb−0.855 **−0.806 **−0.770 **−0.685 *0.782 **1
Sr−0.733 *−0.697 *−0.552−0.733 *0.745 *0.758 *1
Mo0.794 **0.818 **0.721 *0.842 **−0.867 **−0.794 **−0.867 **1
Ag0.5880.673 *0.6120.576−0.6−0.527−0.2610.5881
Ba−0.0420.0060.091−0.1390.3940.2120.576−0.3210.2731
Pb0.721 *0.673 *0.6240.564−0.37−0.673 *−0.3940.6240.697 *0.3821
* indicates that correlation is statistically significant at 0.05 level (one-tailed), ** indicates significant at 0.01 level (two-tailed).
Table 3. Pollution index (Pi) for crucian carp from WUCI, WT, FZYJ, and SPYJ. a GB2762–2022, b NY5073–2006.
Table 3. Pollution index (Pi) for crucian carp from WUCI, WT, FZYJ, and SPYJ. a GB2762–2022, b NY5073–2006.
ElementsLimit
Standards
TissuesWUCIWTFZYJSPYJ
PiPollution LevelPiPollution LevelPiPollution LevelPiPollution Level
Cr a2 aMuscle0.247Mild0.189Clean0.137Clean0.107Clean
As a0.5 aMuscle0.218Mild0.139Clean0.170Clean0.195Clean
Pb a0.5 aMuscle0.128Clean0.181Clean0.122Clean0.217Mild
Cu b50 bMuscle0.014Clean0.022Clean0.016Clean0.047Clean
Cd a0.5 aMuscle0.001Clean0.001Clean0.001Clean0.001Clean
Cr a2 aLiver0.159Clean0.156Clean0.161Clean0.150Clean
As a0.5 aLiver0.038Clean0.042Clean0.051Clean0.036Clean
Pb a0.5 aLiver0.125Clean0.174Clean0.117Clean0.265Mild
Cu b50 bLiver0.246Mild0.153Clean0.108Clean0.051Clean
Cd a0.5 aLiver0.001Clean0.001Clean0.001Clean0.001Clean
Table 4. Risk assessment values (THQ, HI, and TCR) of metal pollutants in tissues of four freshwater crucian carp.
Table 4. Risk assessment values (THQ, HI, and TCR) of metal pollutants in tissues of four freshwater crucian carp.
Fish SampleTarget Hazard Quotient (THQ)Hazard
Index (HI)
Target Carcinogenic Risk (TCR)
AlCrNiAsSrAgBaPbCrNiAsPb
Liver
WUCI0.03730.04170.00300.02490.00010.00170.00010.00610.11491.01 × 10−61.63 × 10−61.81 × 10−73.40 × 10−9
WT0.04300.04230.00300.03310.00010.00370.00010.00580.13101.03 × 10−61.68 × 10−62.42 × 10−73.19 × 10−9
FZYJ0.04120.04100.00300.02340.00010.00190.00010.00850.11929.95 × 10−71.65 × 10−61.71 × 10−74.73 × 10−9
SPYJ0.04520.03920.00310.02370.00010.00160.00010.01300.12609.53 × 10−71.69 × 10−61.73 × 10−77.22 × 10−9
Muscle
WUCI0.02640.06480.00190.14270.00020.00070.00020.00630.24321.57 × 10−61.04 × 10−61.04 × 10−63.49 × 10−9
WT0.03460.03600.00270.11140.00030.00100.00020.00600.19228.74 × 10−71.50 × 10−68.11 × 10−73.32 × 10−9
FZYJ0.03280.04950.00280.09090.00040.00290.00020.00890.18821.20 × 10−61.52 × 10−66.62 × 10−74.94 × 10−9
SPYJ0.02880.02800.00230.12760.00020.00080.00010.01070.19866.79 × 10−71.26 × 10−69.30 × 10−75.91 × 10−9
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Tang, S.; Li, N.; Sun, Z.; Yan, T.; Zhang, T.; Xu, H.; Chen, Z.; Qin, D.; Kuang, Y. Accumulation Patterns and Health Risk Assessment of Trace Elements in Intermuscular Bone-Free Crucian Carp. Toxics 2025, 13, 595. https://doi.org/10.3390/toxics13070595

AMA Style

Tang S, Li N, Sun Z, Yan T, Zhang T, Xu H, Chen Z, Qin D, Kuang Y. Accumulation Patterns and Health Risk Assessment of Trace Elements in Intermuscular Bone-Free Crucian Carp. Toxics. 2025; 13(7):595. https://doi.org/10.3390/toxics13070595

Chicago/Turabian Style

Tang, Shizhan, Na Li, Zhipeng Sun, Ting Yan, Tingting Zhang, Huan Xu, Zhongxiang Chen, Dongli Qin, and Youyi Kuang. 2025. "Accumulation Patterns and Health Risk Assessment of Trace Elements in Intermuscular Bone-Free Crucian Carp" Toxics 13, no. 7: 595. https://doi.org/10.3390/toxics13070595

APA Style

Tang, S., Li, N., Sun, Z., Yan, T., Zhang, T., Xu, H., Chen, Z., Qin, D., & Kuang, Y. (2025). Accumulation Patterns and Health Risk Assessment of Trace Elements in Intermuscular Bone-Free Crucian Carp. Toxics, 13(7), 595. https://doi.org/10.3390/toxics13070595

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

Article Metrics

Back to TopTop