Next Article in Journal
Not Just a Fish Killer: Multi-Organ Toxicity and Mechanisms of 6PPD-Quinone
Next Article in Special Issue
PFAS Pesticides: Contamination Pathways in Italy and the Need for Integrated Regulation
Previous Article in Journal
Health Risk and Pathogenesis of PM2.5 in Human Systems
Previous Article in Special Issue
Trophic Drivers of Organochlorine and PFAS Accumulation in Mediterranean Smooth-Hound Sharks: Insights from Stable Isotopes and Human Health Risk
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Common Carp Kidney as a Multipurpose Biomarker Organ: Insights from Perfluorooctanoic Acid Exposure

1
Department of Biosciences, Food and Environmental Technologies, University of Teramo, St. Renato Balzarini 1, 64100 Teramo, Italy
2
Independent Researcher, St. Antonio Di Vincenzo 12/2, 40129 Bologna, Italy
3
Department of Environmental and Prevention Sciences, University of Ferrara, St. Luigi Borsari 46, 44121 Ferrara, Italy
*
Author to whom correspondence should be addressed.
Toxics 2026, 14(4), 287; https://doi.org/10.3390/toxics14040287
Submission received: 3 March 2026 / Revised: 25 March 2026 / Accepted: 27 March 2026 / Published: 28 March 2026

Highlights

What are the main findings?
  • The common carp kidney integrates excretory nephrons, renal hematopoietic tissue, and thyroid follicles, establishing it as a multipurpose biomarker organ for PFOA toxicity.
  • Nephrotoxic, immunotoxic, thyrotoxic subindices from prior data plus two newly quantified ultrastructural features captured PFOA-induced glomerular/tubular damage, rodlet cell responses, and thyroid follicle alterations.
What are the implications of the main findings?
  • Hierarchical multipurpose index (comprising the z-scored subindices) enables cross-scale integration of organ-level toxicity, visualized intuitively via radar plots.
  • The findings validate carp kidney as a translational One Health model for multi-endpoint PFOA assessment, bridging ecological risk to human health.

Abstract

The common carp (Cyprinus carpio) kidney uniquely integrates excretory nephrons, renal hematopoietic tissue, and hormonally active thyroid follicles, positioning it as a candidate “multipurpose biomarker organ” for pollutants like perfluorooctanoic acid (PFOA), a prototype long-chain PFAS and persistent organic pollutant exhibiting nephrotoxic, immunotoxic, and thyroid-disrupting effects. Building on prior histological, ultrastructural, and morphometric analyses from carp exposed to waterborne PFOA (0, 200 ng L−1, 2 mg L−1 for 56 days), a hierarchical multipurpose index comprising nephrotoxic, immunotoxic, and thyrotoxic subindices was developed from z-scored light-, electron-microscopy, and morphometric features, enabling cross-scale integration; proximal tubule vesiculations and effete rodlet cells (RCs) were newly quantified from archival electron micrographs. The subindices captured PFOA-induced glomerular hyperfiltration with proximal protein reabsorption and collecting duct RCs recruitment (nephrotoxic); hematopoietic tissue RCs recruitment, clustering, and exocytosis (immunotoxic); and increased thyroid follicle abundance/vesiculation, cross-sectional area, and perimeter (thyrotoxic). Quantification of previously only qualitatively assessed features provided statistical validation, while radar plot integration rendered results more intuitively evident—particularly highlighting the non-monotonic thyroid response—condensing organ-level complexity into a coherent framework supporting carp kidney as a translational One Health model for multi-endpoint waterborne pollutant assessment.

1. Introduction

Fish serve as representative sentinel organisms for biomonitoring waterborne pollutants within a One Health framework, integrating exposure via gills and diet to reflect bioaccumulation, trophic transfer, and ecological risk in a way that directly links environmental contamination to animal and human health [1,2,3,4,5]. Within toxicologic pathology, fish also function as translational bioindicator species because many pathways involved in xenobiotic handling, endocrine regulation, and cytotoxic responses are conserved across vertebrates, despite deep evolutionary divergence [6,7,8]. Among teleosts, the common carp (Cyprinus carpio) is particularly suitable for biomonitoring when compared with zebrafish (Danio rerio), as it is globally distributed in freshwater systems, easily obtained and maintained in captivity, plays a major ecological and aquaculture role, and constitutes a relevant human food source, thereby bridging environmental pollutants contamination and potential trophic transfer to humans [9,10,11,12,13]. Moreover, the carp’s extended lifetime and ability for bioconcentration and bioaccumulation render it an effective model for evaluating the chronic impacts of persistent pollutants, such as perfluorooctanoic acid (PFOA), surpassing the predominantly laboratory-based representativeness of zebrafish [14,15,16].
The common carp kidney (mesonephros) provides a unique anatomical and functional integration of three major compartments: nephrons, which mediate renal excretory function; an extensive hematopoietic interstitium, which sustains erythropoietic and myeloid lineages and thus innate immune surveillance; and hormonally active thyroid follicles (Figure 1), which support endocrine regulation [17,18]. This convergent organisation is not typically combined within a single organ in mammalian models and underpins the proposal of the carp kidney as a “multipurpose biomarker organ” capable of simultaneously capturing nephrotoxic, immunotoxic, and thyrotoxic effects under realistic exposure scenarios [19]. Subchronic waterborne PFOA exposure (0, 200 ng L−1, 2 mg L−1 for 56 days) in carp has already been shown to induce: (i) nephrotoxic changes, including dilation of the glomerular capillary bed, enhanced proximal tubule vesiculation, and collecting duct rodlet cells (RCs) recruitment; (ii) immunotoxic responses, particularly recruitment, clustering, and exocytosis of RCs in the renal hematopoietic tissue; and (iii) thyrotoxic effects, such as increased abundance of renal thyroid follicles and enhanced vesiculation of colloid and follicular epithelium, with morphologic alterations occurring even when tissue PFOA concentrations were below the analytical detection limit [19,20,21,22,23]. Though RCs’ putative immune function rests on indirect evidence and remains a widely shared working hypothesis, they are currently regarded as teleost-specific immune cells whose definitive role is yet to be conclusively established [24,25,26].
PFOA is a prominent long-chain per- and polyfluoroalkyl substance (PFAS), often utilised as a prototype due to its comprehensive characterisation regarding environmental persistence, toxicokinetics, and toxicodynamics. PFOA and related long-chain perfluorocarboxylic acids have been listed under the Stockholm Convention as persistent organic pollutants (POPs), reflecting their resistance to degradation, global distribution, and bioaccumulation potential in wildlife and humans [27,28,29]. Experimental and field studies consistently document multi-organ toxicity of PFOA, including hepatotoxic, nephrotoxic, immunotoxic, and endocrine-disrupting effects at environmentally relevant concentrations [1,30,31,32]. Animal and epidemiological data show suppression of antigen-specific antibody responses and broader perturbation of immune function [32,33]. Moreover, PFAS—including PFOA—are increasingly recognised as thyroid disruptors: they can interfere with thyroid hormone homeostasis, modulate thyroid-related gene expression, and exert multi- and trans-generational effects on the thyroid axis [34,35,36].
The integration of heterogeneous biological responses into synthetic metrics has become a pivotal challenge in environmental monitoring, shifting the focus from single-endpoint assessments to integrated organ-level signatures [37]. In aquatic ecotoxicology, several frameworks have been proposed to summarise complex datasets, such as the Integrated Biomarker Response (IBR) index [37] and its subsequent evolutions [38,39,40], which utilise star plots and scoring systems to visualise multi-tissue stress. These integrative approaches are not intended to replace high-resolution individual pathology, but rather to act as a multiparametric bridge, condensing cross-scale information—from ultrastructural alterations to histomorphometric shifts—into a coherent diagnostic profile [41]. However, while composite indicators are widely applied to diverse organs (e.g., liver or gills), their application to multi-functional organs remains largely unexplored [42,43,44]. Building upon this methodological tradition, the present study proposes a modular, hypothesis-driven framework to characterise the common carp kidney as a multipurpose biomarker organ, utilising z-scoring and hierarchical subindex integration to capture the synergistic effects of waterborne pollutants.
In more detail, the aim of the present research was to reassess, in an integrative way, previous quantitative and qualitative data [19,20,21,22,23] on PFOA-induced alterations in these three renal compartments—nephron (renal), hematopoietic (immune), and thyroid follicles (endocrine)—in order to consolidate the concept of the carp kidney as a candidate multipurpose biomarker organ [19]. To this end, a hierarchical multipurpose index was developed, consisting of three subindices (nephrotoxic, immunotoxic, and thyrotoxic), conceived as a modular, hypothesis-driven strategy in which individual features can be selected and weighted according to the expected endpoint, thereby maximising biological relevance and minimising redundant measurements rather than pursuing a fixed “metric purpose” akin to a standard reference scale. Z-scoring was applied to a curated subset of histological, ultrastructural and morphometric features previously demonstrated to be responsive to PFOA in the same experimental fish cohort, ensuring comparability across scales and tissues. For two key features—“proximal tubule vesiculations” and the occurrence of “effete RCs”—quantitative scoring was performed de novo in the present study using archival transmission electron micrographs, thus expanding the available dataset while maintaining methodological continuity with earlier work on this cohort.

2. Materials and Methods

The present research relied entirely on statistical re-elaboration of quantitative data from previously published articles on the same PFOA-exposed carp experimental cohort or on original quantification of previously qualitatively described results [19,20,21,22,23,45]. The original experiment [46] consisted of 3 groups of common carp, C. carpio: unexposed, 200 ng L−1 PFOA and 2 mg L−1 PFOA for 56 days under sub-chronic conditions in a continuous flow-through system. For details of the original experiment, readers are referred to Giari et al. (2016) [46], from which all subsequent pertinent studies derive. This approach ensured full homogeneity across datasets from identical fish samples, avoiding the need to sacrifice additional animals.

2.1. Feature Selection and Elaboration from Previous Research

Relevant quantitative and qualitative features—specifically, light- and electron-microscopy and morphometric characteristics showing distinctive alterations among experimental groups—were preliminarily selected from previous research as reported in Table 1. Notably, the lack of statistical evaluation of prior qualitative findings represented a possible limitation that the present study addresses through re-analysis and original quantification. Features were grouped according to their pathophysiological impact into nephrotoxic, thyrotoxic, and immunotoxic features (Table 1). For the nephrotoxic subindex, features describing glomerular filtration barrier integrity were included (podocyte pedicel width, thickness of the glomerular basement membrane, and width of endothelial fenestrae in glomerular capillaries) [47,48,49], together with tubular cytological alterations (degree of proximal tubule cell vesiculation and occurrence of RCs in collecting ducts) [23,50,51]. For the thyrotoxic subindex, morphological and morphometric features of thyroid follicles activity were used (total number of renal thyroid follicles, number of follicles displaying consistent vesiculations at the colloid–epithelium interface, and thyroid follicle cross-sectional area and perimeter) [19,52,53,54]. For the immunotoxic subindex, ultrastructural and morphometric features reflecting RCs recruitment and activation were considered (number of RCs in the renal hematopoietic tissue, proportion of effete RCs showing complete expulsion of cytoplasmic content, and RC degranulation activity) [24,26,55].
For certain features—specifically “proximal tubule vesiculations” and “effete RCs”—quantification was performed de novo for this study using archival ultrastructural images from ultrathin sections (TEM grids). These images were systematically captured during previous studies (Table 1) from kidney samples of 5 fish per experimental group. The feature “RC degranulation” was obtained as the mean value of the factor score from linear discriminant analysis from a previous statistical dataset (Table 1).
Proximal tubule vesiculations were quantified via image analysis of proximal tubule cell regions of interest (ROIs). The ratio of vesiculated cytoplasm area to total cytoplasmic area was calculated using Orbit Image Analysis software (version 3.64, Actelion Pharmaceuticals Ltd., Allschwil, Switzerland; GPLv3 licence) [56]. Object segmentation followed the manufacturer’s protocols [56]: two classes were defined (vesiculated cytoplasm and background cytoplasm), trained via manual outlining on representative images from all experimental groups, then applied across all images with parameter refinements via the feature configuration interface as needed.
The proportion of effete RCs was determined by counting effete RCs relative to all RCs documented in ultrastructural micrographs.

2.2. Subindices and Multipurpose Index: An Exploratory Analytical Framework

Each feature was introduced as a replicate to compose three subindices, according to its pathophysiological impact: nephrotoxic, thyrotoxic, and immunotoxic. Cumulatively, all features contribute to the definition of the multipurpose index, as schematically depicted in Figure 2.
In more detail, the development of the nephrotoxic, thyrotoxic, and immunotoxic subindices, culminating in the overall multipurpose index, is conceived as an exploratory, hypothesis-driven analytical framework rather than a finalised, reference-scale metric. The primary objective of this work was to provide a proof-of-concept for the carp kidney as an integrated, multi-compartment biomarker system. Crucially, this higher-level synthesis is strictly complementary and does not seek to replace traditional inferential statistics based on individual fish variability. All foundational biological effects and inter-individual variances were rigorously established at the individual level in prior studies [19,20,21,23,45], which served as the essential quality control and “ground truth” for the current integration. Within this data flow, using multiple features within each subindex is a deliberate choice for multibiomarker characterisation (e.g., Integrated Biomarker Response approach [37]), aimed at revealing emergent organ-level patterns—such as the non-monotonic thyroid response—that may remain latent in single-trait analyses.

2.3. Statistical Analysis

Individual features were z-scored by averaging across experimental groups for each feature. For example, pedicel width values were averaged across the three experimental groups (unexposed: 228 nm; 200 ng L−1 PFOA: 228 nm; 2 mg L−1 PFOA: 286 nm) to obtain a mean (μ = 247.33 nm) and respective standard deviation (σ = 33.49 nm). Each group’s value was then z-scored using the following formula: z = (X − μ)/σ, where X is the group representative value, μ is the mean across all three experimental groups for that feature, and σ is the respective standard deviation across all three experimental groups. This produces dimensionless z-scores for each group (e.g., pedicel width: unexposed: −0.58; 200 ng L−1 PFOA: −0.58; 2 mg L−1 PFOA: +1.15), which were then cumulated within each subindex and finally within the multipurpose index as replicates. Original features data (scale measures, counts, and ratios) vary dramatically in absolute magnitude and biological scale. Z-score transformation places all endpoints on a common statistical scale while preserving relative deviations from means, facilitating synthesis of complex multiparametric data into coherent toxicity indices without arbitrary weighting [41].
In line with this exploratory scope, equal weighting was assigned to all z-scored features. This approach is intentionally conservative: it avoids a priori bias regarding the relative functional “importance” of heterogeneous endpoints (e.g., ultrastructural vs. histomorphometric features), which may vary depending on the specific pollutant, and is consistent with guidance on composite indicators [57]. As this is a modular proposal, researchers are encouraged to tailor feature selection and weighting according to their specific experimental endpoints [57]. By maintaining a transparent and non-substitutive approach, the z-score transformation harmonises diverse scales into an intuitive composite profile (radar plots), highlighting the potential of the carp kidney as a translational One Health model for aquatic pollution and capturing non-monotonic endocrine disruptor-like responses [58].
Thereafter, since data were not normally distributed, the multipurpose index and each subindex separately were tested for significant differences among experimental groups using the Kruskal–Wallis test followed by Dunn’s pairwise comparisons (p Holm-corrected) in JASP (version 0.19.5.4; JASP Team, Amsterdam, The Netherlands). Given the sample characteristics, Monte Carlo significance estimation was also applied to the Kruskal–Wallis test for more conservative and precise p-value estimation, using SPSS® (version 14.0.2, SPSS Inc., Chicago, IL, USA). For rapid, intuitive evaluation of z-scored data among experimental groups, radar plots were generated.

3. Results

Results are reported in Table 2 and Table 3 and Figure 3. Monte Carlo significance estimation provided more conservative and precise p-values compared to the asymptotic method for all subindices: nephrotoxic subindex (p < 0.001 vs. asymptotic p = 0.003), thyrotoxic subindex (p < 0.001 vs. asymptotic p = 0.007), and immunotoxic subindex (p = 0.012 vs. asymptotic p = 0.039). The thyrotoxic subindex revealed a large effect size (Table 2), with highly significant non-monotonic dose–response and correct rank-biserial correlations (rrb) confirming a U-shaped dose–response pattern (Table 2 and Table 3; Figure 3).
Effect sizes (ε2 = 0.811–0.895, Table 2) confirmed large biological impacts across all subindices. Pairwise comparisons (Table 3) showed rrb values approaching ±1.0 for key contrasts (unexposed vs. exposed), demonstrating robust group separation. Critically, only the multiparametric index detected significant differences between unexposed controls and both exposure levels (p < 0.01, rrb = −0.938 to −1.000), while individual subindices missed at least one contrast. These three distinct patterns—high-dose kidney damage, thyroid peak-then-drop, and high-dose immune activation—integrate synergistically in the multiparametric index for superior group separation. Figure 3 graphically highlights these patterns across subindices in an intuitive, aggregated format, particularly the thyrotoxic subindex’s non-monotonic dose–response and RC degranulation peak (immunotoxic feature), making these trends immediately visually apparent.

4. Discussion

The present study confirms and extends previous evidence that the carp kidney represents a systematic, integrated multipurpose biomarker organ capable of capturing nephrotoxic, immunotoxic, and thyrotoxic effects of PFOA within a single anatomical district [19,20,21,22,23,45]. By extracting and z-scoring morphometric, histological, and ultrastructural endpoints previously described separately for the nephron, renal hematopoietic tissue, and thyroid follicles [19,20,21,22,23,45], it was possible to derive composite subindices that synthesise tissue-specific toxicity, culminating in the multipurpose index as their integrated synthesis. This approach should not be interpreted as pursuing a “metric purpose,” namely the development of a reference/standard metric, but rather as a modular, hypothesis-driven strategy where features can be selected and weighted according to the expected endpoint, maximising biological relevance while minimising redundant measurements [59,60].
The nephrotoxic subindex—derived from features such as pedicel width, basement membrane thickness, fenestrae alterations, proximal tubule vesiculations, and RCs increases in renal collecting ducts as a result of their affection—recapitulates the ultrastructural picture of glomerulonephrosis and related tubular involvement [48,50,51,61] previously described in the same fish [22,23]. At the highest exposure concentration (2 mg L−1 PFOA), podocyte effacement occurred with widening/disarrangement/fusion of pedicels into continuous cytoplasmic sheets (average width 286 nm), drastic reduction/loss of filtration slits and slit diaphragms, basement membrane disarrangement/enlargement (average thickness 237 nm), slightly enlarged endothelial fenestrae (average width 180 nm) with irregular villous-like projections, focal podocyte vacuolations, and foamy proteinaceous material in the urinary space, together with enhanced endocytic activity (increased/large flocculent vesiculations) in the first proximal tubule segment [22,23]. These lesions align with the broader literature on podocyte injury and proteinuric kidney disease, where foot process effacement and slit diaphragm loss represent key structural correlates of barrier failure [62,63], potentially involving organic anion transporters (OATs) in podocytes and proximal tubules that facilitate PFOA renal handling [22,23,64,65]. The strongly positive z-scores for all nephrotoxic features at 2 mg L−1 PFOA quantify the uniformity and magnitude of damage across glomerular and tubular compartments, consistent with this morphopathological pattern [22,23]. Conversely, the mildly negative to near-zero values in the unexposed and low- concentration (200 ng L−1 PFOA) groups reflect baseline variability or only incipient, sub-threshold lesions—previously reported as glomerular capillary bed dilation with loss of folding pattern, and early proximal tubular vesiculation—reinforcing nephron sensitivity to high experimental PFOA concentrations, while environmentally relevant levels produce only early alterations detectable at ultrastructural resolution [22,23].
In the present study, recoding the previously published morphometric, histological, and ultrastructural endpoints [19,20] into a composite thyrotoxic subindex provides clearer visualisation of PFOA effects on the carp thyroid and, in particular, made the non-monotonic nature of the response more immediately appreciable. In earlier work on the same experimental cohort [19,20], the environmentally relevant concentration of 200 ng L−1 PFOA was already shown to induce marked thyroid folliculogenesis, with a high number of small, morphologically altered follicles and a pronounced reduction in colloid area and perimeter, whereas fish exposed to 2 mg L−1 PFOA exhibited relatively larger follicles but more evident degenerative ultrastructural changes, including rough endoplasmic reticulum enlargement, cytoplasmic vacuolation, and features consistent with early degeneration. These findings were interpreted as evidence that 200 ng L−1 PFOA primarily acts as an endocrine disruptor and goitrogen, driving TSH-mediated follicle recruitment and colloid depletion, while the higher dose superimposes a more frankly thyrotoxic and cytotoxic component on thyroid tissue, in line with concurrent alterations in liver and kidney observed in the same fish [19,20] and with the broader literature on PFAS-induced thyroid disruption in fish and other vertebrates [34,66,67]. By collapsing these complex and partially divergent endpoints into a single thyrotoxic subindex, the current analysis highlights a non-monotonic dose–response in which the 200 ng L−1 PFOA group is coherent with an endocrine-disruptor-like signature and the 2 mg L−1 PFOA group is in accordance with a more toxic/degenerative profile, a pattern that is consistent with the conceptual framework of endocrine disruptors and with the widespread occurrence of non-monotonic dose–responses described for hormones and endocrine-disrupting chemicals [58,68].
The immunotoxic subindex, based on RCs occurrence in hematopoietic tissue, effete RCs, and RC degranulation, synthesises the immunotoxic and innate immune activation profile previously documented in detail in the same fish [21,23,45]. RCs have been proposed as sentinel cells of chemical and parasitic stress in fish, with roles linked to innate immunity and inflammatory responses [24,55,69,70]. In carp exposed to PFOA, earlier work demonstrated increased numbers of RCs in the renal hematopoietic interstitium, clustering, closer association with myeloid cells, and ultrastructural evidence of intense exocytosis and degeneration, particularly at 2 mg L−1 PFOA, but already evident at 200 ng L−1 PFOA [21,23,45]. The z-scored immunotoxic features show a consistent shift from negative values in controls to positive values in exposed groups, indicating a dose-related activation of RCs recruitment and turnover, with degranulation objectively quantified via texture analysis/LDA [45]. Of note, RC degranulation peaks at the lower concentration, suggesting that environmentally relevant exposure can elicit a vigorous secretory response [21]. This non-linear nuance is highlighted in the z-scores and underscores the high sensitivity of rodlet cells to low-level PFOA stress [21,23,24,45]. The possible role of PFAS in disturbing teleost immune function, including specialised cell types such as RCs, has recently been reviewed by Cai et al. (2026) [71], who largely build on the limited experimental evidence currently available for RCs responses to PFOA in carp kidney [21,23]; as a result, PFAS–RC interactions remain only sparsely explored and mostly discussed at a conceptual level. Growing experimental and observational data support the view that RCs act as stress-responsive innate immune effector or sentinel cells in teleosts [24,25,70,72], while PFAS are increasingly recognised as modulators of innate immune pathways, including TLR–NF-κB signalling, in fish and other vertebrate immune cells [30,73,74]. Against this broader mechanistic background, the PFOA-induced changes in RCs recruitment and degranulation observed in the present cohort are consistent with the hypothesis that PFAS may influence RC activity indirectly, via upstream activation of classical innate sentinel cells and cytokine networks, or potentially through pattern-recognition pathways analogous to TLR-driven NF-κB activation; however, such receptor-level mechanisms remain to be demonstrated directly in RCs [21,23]. Together, these findings support the use of RC-based metrics as a component of an immunotoxic index and provide quantitative backing to the proposal that RCs function as biomarkers of PFAS exposure in fish, complementing classical leukocyte or cytokine endpoints [21,23,24,45].
With regard to possible limitations and biases of the adopted methods—particularly z-scoring—it should be stressed that, although this permits direct comparison of heterogeneous measures, several limitations must be acknowledged [41,75]. First, the indices derive from previously published datasets not originally designed for integrative scoring; hence, equal weighting of individual features may not reflect their relative functional importance [57,76]. Second, collapsing complex biological phenomena into single indices can mask divergent endpoint behaviours, such as the non-monotonic dose–response of the thyrotoxic subindex or the peak RC degranulation at low concentration [77,78]. Third, while z-scores highlight relative deviations within the studied cohort, they remain inherently context-dependent and should not be overinterpreted as absolute toxicity thresholds applicable across species or exposure scenarios [79,80]. Despite these caveats, the consistency between composite subindices and the detailed histopathological, ultrastructural, and morphometric narratives of the original articles [19,20,21,22,23,45] demonstrates the biological meaningfulness of the z-scored approach. It successfully translates rich qualitative descriptions of PFOA-induced kidney pathology into quantitative metrics comparable across tissues, doses, and potentially contaminants. In other words, the proposed methodology—grounded in the quantitative statistical elaboration of original qualitative and quantitative data from prior histological, morphometric, and ultrastructural research documenting nephrotoxicity, immunotoxicity, and thyrotoxicity separately in carp kidney [19,20,21,22,23,45]—represents a complementary extension to these traditional approaches rather than an alternative, intuitively summarising and integrating such data into immediately appreciable quantitative metrics.
Taken together, the integrated analysis confirms that PFOA exerts multi-compartment toxicity in the carp kidney, spanning the glomerular filtration barrier and tubular integrity [22,23], innate immune involvement through rodlet cells [21,23], and thyroid follicle structure and colloid dynamics [19,20]. The dose-dependent and, in some cases, non-monotonic patterns highlight the importance of considering both environmentally relevant exposures and higher experimental doses when characterising PFAS hazards [23,34,58].
Building on these confirmed PFOA effects, the carp kidney offers a parsimonious model for integrated One Health assessment, because it uniquely hosts three major functional compartments—nephrons, renal hematopoietic tissue, and hormonally active thyroid follicles—that in mammals are distributed across distinct organs (kidney, bone marrow, lymphatic organs, and thyroid gland) [17,81]. The One Health paradigm specifically emphasises the interconnectedness of environmental quality, animal health, and human well-being in the context of waterborne pollutants [82,83,84], making the carp kidney’s integrated pathology an ideal translational bridge across these domains. This organisation permits simultaneous evaluation of nephrotoxic, immunotoxic, and thyrotoxic effects on a single histological slide or electron microscopy grid from the same individual, reducing animal use and enabling truly multiparametric interpretation under identical exposure conditions. In the present work, PFOA was used primarily as a case-study pollutant to demonstrate the feasibility and interpretive value of this integrated, index-based approach; however, the intention is that the same multiparametric framework could be applied more broadly to other waterborne contaminants, with the carp kidney being considered and further developed as a multipurpose biomarker organ. Previous studies on this experimental cohort have shown that PFOA can induce clear ultrastructural and morphometric alterations in the different kidney structures even when tissue PFOA concentrations fall below analytical detection limits, underscoring that biologically relevant effects may occur at, or below, the sensitivity threshold of routine chemical assays [19,22,23]. In such scenarios, integrated morphologic and index-based approaches may provide a valuable complementary tool for environmental monitoring, especially for widely farmed and consumed species such as common carp, which link aquatic contamination, trophic transfer, and human dietary exposure to PFAS and other waterborne pollutants [11,14,85,86]. Encouraging the use of histopathology-, ultrastructure-, and morphometry-derived indices alongside chemical analyses is therefore consistent with the One Health paradigm, as it captures converging evidence on renal, immune, and thyroid disruption that is relevant for ecosystem health, animal welfare, and potential human health risks from chronic PFAS exposure.
The carp kidney emerges as a compact, information-rich target for histopathological, morphometric, and ultrastructural biomarker development, and the index-based framework proposed here offers a practical way to synthesise complex morphological data. Future work could expand this strategy by incorporating additional endpoints (e.g., molecular markers, oxidative stress indices [87]) or by testing other PFAS and contaminant mixtures, thereby refining the use of carp and its kidney as a multipurpose biomarker system for aquatic pollution evaluation and for comparative toxicological research in a One Health and translational perspective.

5. Conclusions

Z-scoring of heterogeneous morphometric, histological, and ultrastructural endpoints from prior studies enabled their direct comparison both within individual subindices (thyrotoxic, nephrotoxic, and immunotoxic) and across the composite multipurpose index, providing a more comprehensive and coherent synthesis of carp kidney responses to PFOA that transcends the singular analyses previously published. Qualitative observations originally described in earlier work—such as proximal tubule cell vesiculations and effete RCs—were here quantitatively codified for the first time, while preexisting measurements (e.g., glomerular filtration barrier alterations) were integrated into cumulative statistical assessments within the respective subindices. This approach culminates in the multipurpose index as an integrative synthesis of its constituent subindices, positioning the carp kidney as a versatile biomarker organ for multiparametric toxicological evaluation in the One Health paradigm and translational research context, linking aquatic contamination through trophic transfer in this widely consumed food fish to potential human renal, immune, and thyroid health risks, and underscoring the value of morphology-based indices as complementary tools to chemical analysis in PFAS monitoring. While this study employed PFOA solely as a case study to provide insights into the common carp kidney as a candidate multipurpose biomarker organ, toxicologic pathology researchers are encouraged to tailor feature selection and weighting according to their specific endpoints of interest; although the multipurpose index was not developed as a standalone metric, this potential merits consideration pending further validation and research.

Author Contributions

Conceptualization, M.M.; Methodology, M.M.; Software, M.M.; Validation, M.M.; Formal analysis, M.M., C.M. and L.G.; Investigation, M.M., C.M. and L.G.; Resources, M.M., C.M. and L.G.; Data curation, M.M.; Writing—original draft preparation, M.M. and C.M.; Writing—review and editing, M.M., C.M. and L.G.; Visualisation, M.M., C.M. and L.G.; Supervision, M.M. and L.G.; Project administration, M.M. and L.G.; Funding acquisition, M.M. and L.G. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Ethical review and approval were waived because the research relied exclusively on the novel, unedited reassessment of previously published data [19,20,22], archival ultrastructural images [21,22], and datasets [23,45] from previous research, without requiring the sacrifice of additional fish for the current investigation.

Informed Consent Statement

Not applicable.

Data Availability Statement

The raw data supporting the conclusions of this article will be made available by the authors on request.

Acknowledgments

The authors thank G. Castaldelli (University of Ferrara), project manager of the original experiment [46], which was the source of materials for the present study. The authors also gratefully acknowledge the Electron Microscopy Centre of the University of Ferrara and the valuable assistance of E. Simoni and P. Boldrini. AI-assisted tools (Perplexity AI [version Grok 4.1; Perplexity AI, San Francisco, CA, USA] and QuillBot [version 4.62.0; QuillBot, Inc., Chicago, IL, USA]) were used to enhance the clarity, readability, and English language quality of this manuscript. The authors have reviewed, validated, and take full responsibility for all AI-generated content, ensuring its accuracy, originality, and compliance with MDPI’s publication ethics.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Lee, J.W.; Choi, K.; Park, K.; Sung, C.; Yu, S.D.; Kim, P.; Seong, C.; Yu, S.D.; Kim, P. Adverse Effects of Perfluoroalkyl Acids on Fish and Other Aquatic Organisms: A Review. Sci. Total Environ. 2020, 707, 135334. [Google Scholar] [CrossRef] [PubMed]
  2. Du, D.; Lu, Y.; Zhou, Y.; Li, Q.; Zhang, M.; Han, G.; Cui, H.; Jeppesen, E. Bioaccumulation, Trophic Transfer and Biomagnification of Perfluoroalkyl Acids (PFAAs) in the Marine Food Web of the South China Sea. J. Hazard. Mater. 2021, 405, 124681. [Google Scholar] [CrossRef] [PubMed]
  3. Manera, M.; Manera, C.; Castaldelli, G.; Giari, L. Qualitative Exploration of Ultrastructural Effects of Perfluorooctanoic Acid on Carp Gills: Mitochondria-Rich Cells as Candidate Biomarkers of Cytotoxicity. Toxics 2025, 13, 1020. [Google Scholar] [CrossRef] [PubMed]
  4. Ma, T.; Wu, P.; Wang, L.; Li, Q.; Li, X.; Luo, Y. Toxicity of Per- and Polyfluoroalkyl Substances to Aquatic Vertebrates. Front. Environ. Sci. 2023, 11, 1101100. [Google Scholar] [CrossRef]
  5. Friese, C.; Nuyts, N. Posthumanist Critique and Human Health: How Nonhumans (Could) Figure in Public Health Research. Crit. Public Health 2017, 27, 303–313. [Google Scholar] [CrossRef]
  6. Ankley, G.T.; Gray, L.E. Cross-Species Conservation of Endocrine Pathways: A Critical Analysis of Tier 1 Fish and Rat Screening Assays with 12 Model Chemicals. Environ. Toxicol. Chem. 2013, 32, 1084–1087. [Google Scholar] [CrossRef]
  7. McArdle, M.E.; Freeman, E.L.; Staveley, J.P.; Ortego, L.S.; Coady, K.K.; Weltje, L.; Weyers, A.; Wheeler, J.R.; Bone, A.J. Critical Review of Read-Across Potential in Testing for Endocrine-Related Effects in Vertebrate Ecological Receptors. Environ. Toxicol. Chem. 2020, 39, 739–753. [Google Scholar] [CrossRef]
  8. Wolf, J.C.; Wolfe, M.J. A Brief Overview of Nonneoplastic Hepatic Toxicity in Fish. Toxicol. Pathol. 2005, 33, 75–85. [Google Scholar] [CrossRef]
  9. Rahman, M.M. Role of Common Carp (Cyprinus carpio) in Aquaculture Production Systems. Front. Life Sci. 2015, 8, 399–410. [Google Scholar] [CrossRef]
  10. Kim, W.-K.; Lee, S.-K.; Jung, J. Integrated Assessment of Biomarker Responses in Common Carp (Cyprinus carpio) Exposed to Perfluorinated Organic Compounds. J. Hazard. Mater. 2010, 180, 395–400. [Google Scholar] [CrossRef]
  11. Ye, X.; Schoenfuss, H.L.; Jahns, N.D.; Delinsky, A.D.; Strynar, M.J.; Varns, J.; Nakayama, S.F.; Helfant, L.; Lindstrom, A.B. Perfluorinated Compounds in Common Carp (Cyprinus carpio) Fillets from the Upper Mississippi River. Environ. Int. 2008, 34, 932–938. [Google Scholar] [CrossRef]
  12. Engeszer, R.E.; Patterson, L.B.; Rao, A.A.; Parichy, D.M. Zebrafish in the Wild: A Review of Natural History and New Notes from the Field. Zebrafish 2007, 4, 21–40. [Google Scholar] [CrossRef]
  13. Lee, C.J.; Tyler, C.R.; Paull, G.C. Chapter 4—Geographic Range and Natural Distribution. In American College of Laboratory Animal Medicine, The Zebrafish in Biomedical Research; Cartner, S.C., Eisen, J.S., Farmer, S.C., Guillemin, K.J., Kent, M.L., Sanders, G.E., Eds.; Academic Press: Cambridge, MA, USA, 2020; pp. 41–56. ISBN 978-0-12-812431-4. [Google Scholar] [CrossRef]
  14. Petre, V.A.; Chiriac, F.L.; Lucaciu, I.E.; Paun, I.; Pirvu, F.; Iancu, V.I.; Novac, L.; Gheorghe, S. Tissue Bioconcentration Pattern and Biotransformation of Per-Fluorooctanoic Acid (PFOA) in Cyprinus carpio (European Carp)—An Extensive In Vivo Study. Foods 2023, 12, 1423. [Google Scholar] [CrossRef]
  15. Bervoets, L.; Van Campenhout, K.; Reynders, H.; Knapen, D.; Covaci, A.; Blust, R. Bioaccumulation of Micropollutants and Biomarker Responses in Caged Carp (Cyprinus carpio). Ecotoxicol. Environ. Saf. 2009, 72, 720–728. [Google Scholar] [CrossRef]
  16. Has-Schön, E.; Bogut, I.; Vuković, R.; Galović, D.; Bogut, A.; Horvatić, J. Distribution and Age-Related Bioaccumulation of Lead (Pb), Mercury (Hg), Cadmium (Cd), and Arsenic (As) in Tissues of Common Carp (Cyprinus carpio) and European Catfish (Sylurus glanis) from the Buško Blato Reservoir (Bosnia and Herzegovina). Chemosphere 2015, 135, 289–296. [Google Scholar] [CrossRef]
  17. Geven, E.J.W.; Klaren, P.H.M. The Teleost Head Kidney: Integrating Thyroid and Immune Signalling. Dev. Comp. Immunol. 2017, 66, 73–83. [Google Scholar] [CrossRef] [PubMed]
  18. Zapata, A.; Diez, B.; Cejalvo, T.; Gutiérrez-De Frías, C.; Cortés, A. Ontogeny of the Immune System of Fish. Fish Shellfish Immunol. 2006, 20, 126–136. [Google Scholar] [CrossRef]
  19. Manera, M.; Castaldelli, G.; Giari, L. Perfluorooctanoic Acid Affects Thyroid Follicles in Common Carp (Cyprinus carpio). Int. J. Environ. Res. Public Health 2022, 19, 9049. [Google Scholar] [CrossRef] [PubMed]
  20. Manera, M.; Giari, L. Segmentation of Renal Thyroid Follicle Colloid in Common Carp: Insights into Perfluorooctanoic Acid-Induced Morphometric Alterations. Toxics 2024, 12, 369. [Google Scholar] [CrossRef] [PubMed]
  21. Manera, M.; Castaldelli, G.; Giari, L. Perfluorooctanoic Acid Promotes Recruitment and Exocytosis of Rodlet Cells in the Renal Hematopoietic Tissue of Common Carp. Toxics 2023, 11, 831. [Google Scholar] [CrossRef]
  22. Manera, M.; Casciano, F.; Giari, L. Ultrastructural Alterations of the Glomerular Filtration Barrier in Fish Experimentally Exposed to Perfluorooctanoic Acid. Int. J. Environ. Res. Public Health 2023, 20, 5253. [Google Scholar] [CrossRef] [PubMed]
  23. Manera, M.; Castaldelli, G.; Guerranti, C.; Giari, L. Effect of Waterborne Exposure to Perfluorooctanoic Acid on Nephron and Renal Hemopoietic Tissue of Common Carp Cyprinus carpio. Ecotoxicol. Environ. Saf. 2022, 234, 113407. [Google Scholar] [CrossRef]
  24. Manera, M. Rodlet Cell Morpho–Numerical Alterations as Key Biomarkers of Fish Responses to Toxicants and Environmental Stressors. Toxics 2024, 12, 832. [Google Scholar] [CrossRef]
  25. Sayyaf Dezfuli, B.; Pironi, F.; Maynard, B.; Simoni, E.; Bosi, G. Rodlet Cells, Fish Immune Cells and a Sentinel of Parasitic Harm in Teleost Organs. Fish Shellfish Immunol. 2022, 121, 516–534. [Google Scholar] [CrossRef]
  26. DePasquale, J.A. A Comparison of Teleost Rodlet Cells with Apicomplexan Cells. Acta Histochem. 2024, 126, 152167. [Google Scholar] [CrossRef]
  27. Vierke, L.; Staude, C.; Biegel-Engler, A.; Drost, W.; Schulte, C. Perfluorooctanoic Acid (PFOA)—Main Concerns and Regulatory Developments in Europe from an Environmental Point of View. Environ. Sci. Eur. 2012, 24, 16. [Google Scholar] [CrossRef]
  28. Barbosa Machado Torres, F.; Guida, Y.; Weber, R.; Machado Torres, J.P. Brazilian Overview of Per- and Polyfluoroalkyl Substances Listed as Persistent Organic Pollutants in the Stockholm Convention. Chemosphere 2022, 291, 132674. [Google Scholar] [CrossRef]
  29. Fiedler, H.; Kallenborn, R.; de Boer, J.; Sydnes, L.K. The Stockholm Convention: A Tool for the Global Regulation of Persistent Organic Pollutants. Chem. Int. 2019, 41, 4–11. [Google Scholar] [CrossRef]
  30. Zhang, H.; Shen, L.; Fang, W.; Zhang, X.; Zhong, Y. Perfluorooctanoic Acid-Induced Immunotoxicity via NF-Kappa B Pathway in Zebrafish (Danio rerio) Kidney. Fish Shellfish Immunol. 2021, 113, 9–19. [Google Scholar] [CrossRef] [PubMed]
  31. Sinclair, G.M.; Long, S.M.; Jones, O.A.H. What Are the Effects of PFAS Exposure at Environmentally Relevant Concentrations? Chemosphere 2020, 258, 127340. [Google Scholar] [CrossRef] [PubMed]
  32. DeWitt, J.C.; Peden-Adams, M.M.; Keller, J.M.; Germolec, D.R. Immunotoxicity of Perfluorinated Compounds: Recent Developments. Toxicol. Pathol. 2012, 40, 300–311. [Google Scholar] [CrossRef]
  33. Stein, C.R.; Ge, Y.; Wolff, M.S.; Ye, X.; Calafat, A.M.; Kraus, T.; Moran, T.M. Perfluoroalkyl Substance Serum Concentrations and Immune Response to FluMist Vaccination among Healthy Adults. Environ. Res. 2016, 149, 171–178. [Google Scholar] [CrossRef] [PubMed]
  34. Coperchini, F.; Croce, L.; Ricci, G.; Magri, F.; Rotondi, M.; Imbriani, M.; Chiovato, L. Thyroid Disrupting Effects of Old and New Generation PFAS. Front. Endocrinol. 2021, 11, 1077. [Google Scholar] [CrossRef]
  35. Mokra, K. Endocrine Disruptor Potential of Short-and Long-Chain Perfluoroalkyl Substances (Pfass)—A Synthesis of Current Knowledge with Proposal of Molecular Mechanism. Int. J. Mol. Sci. 2021, 22, 2148. [Google Scholar] [CrossRef] [PubMed]
  36. Coperchini, F.; Teliti, M.; Greco, A.; Croce, L.; Rotondi, M. Per-Polyfluoroalkyl Substances (PFAS) as Thyroid Disruptors: Is There Evidence for Multi-Transgenerational Effects? Expert Rev. Endocrinol. Metab. 2024, 19, 307–315. [Google Scholar] [CrossRef]
  37. Beliaeff, B.; Burgeot, T. Integrated Biomarker Response: A Useful Tool for Ecological Risk Assessment. Environ. Toxicol. Chem./SETAC 2002, 21, 1316–1322. [Google Scholar] [CrossRef]
  38. Devin, S.; Burgeot, T.; Giambérini, L.; Minguez, L.; Pain-Devin, S. The Integrated Biomarker Response Revisited: Optimization to Avoid Misuse. Environ. Sci. Pollut. Res. 2014, 21, 2448–2454. [Google Scholar] [CrossRef] [PubMed]
  39. Catteau, A.; Le Guernic, A.; Palos Ladeiro, M.; Dedourge-Geffard, O.; Bonnard, M.; Bonnard, I.; Delahaut, L.; Bado-Nilles, A.; Porcher, J.-M.; Lopes, C.; et al. Integrative Biomarker Response-Threshold (IBR-T): Refinement of IBRv2 to Consider the Reference and Threshold Values of Biomarkers. J. Environ. Manag. 2023, 341, 118049. [Google Scholar] [CrossRef]
  40. Sanchez, W.; Burgeot, T.; Porcher, J.M. A Novel “Integrated Biomarker Response” Calculation Based on Reference Deviation Concept. Environ. Sci. Pollut. Res. 2013, 20, 2721–2725. [Google Scholar] [CrossRef]
  41. Pollesch, N.L.; Dale, V.H. Normalization in Sustainability Assessment: Methods and Implications. Ecol. Econ. 2016, 130, 195–208. [Google Scholar] [CrossRef]
  42. Costa, P.M.; Diniz, M.S.; Caeiro, S.; Lobo, J.; Martins, M.; Ferreira, A.M.; Caetano, M.; Vale, C.; DelValls, T.Á.; Costa, M.H. Histological Biomarkers in Liver and Gills of Juvenile Solea senegalensis Exposed to Contaminated Estuarine Sediments: A Weighted Indices Approach. Aquat. Toxicol. 2009, 92, 202–212. [Google Scholar] [CrossRef] [PubMed]
  43. de Castilhos Ghisi, N.; Larentis, C.; de Oliveira, E.C.; Neves, M.P.; Zavaski, A.G.; de Almeida Roque, A.; Wachtel, C.C.; da Silva, A.P.; de Lima, E.B.S.; de Oliveira Nagasawa Costa, G.; et al. Environmental Assessment of Neotropical Streams Using Fish as Bioindicators: A Multibiomarker and Integrated Approach. Hydrobiologia 2022, 849, 4587–4604. [Google Scholar] [CrossRef]
  44. Gerber, R.; Wagenaar, G.M.; Smith, W.; Ikenaka, Y.; Smit, N.J. Insights into the Drivers of Histopathological Changes and Potential as Bio-Indicator of Riverine Health of an Aquatic Apex Predator from a Premier Conservation Area: A Multiple Lines of Evidence and Multivariate Statistics Approach. Ecol. Indic. 2017, 72, 530–544. [Google Scholar] [CrossRef]
  45. Manera, M. Texture Analysis as a Discriminating Tool: Unmasking Rodlet Cell Degranulation in Response to a Contaminant of Emerging Concern. Front. Biosci.-Landmark 2024, 29, 79. [Google Scholar] [CrossRef]
  46. Giari, L.; Vincenzi, F.; Badini, S.; Guerranti, C.; Dezfuli, B.S.; Fano, E.A.; Castaldelli, G. Common Carp Cyprinus carpio Responses to Sub-Chronic Exposure to Perfluorooctanoic Acid. Environ. Sci. Pollut. Res. 2016, 23, 15321–15330. [Google Scholar] [CrossRef]
  47. Salmon, A.H.J.; Neal, C.R.; Harper, S.J. New Aspects of Glomerular Filtration Barrier Structure and Function: Five Layers (at Least) Not Three. Curr. Opin. Nephrol. Hypertens. 2009, 18, 197–205. [Google Scholar] [CrossRef]
  48. Ballermann, B.J. Contribution of the Endothelium to the Glomerular Permselectivity Barrier in Health and Disease. Nephron Physiol. 2007, 106, p19–p25. [Google Scholar] [CrossRef]
  49. Kim, J.; Kim, H.; Kang, J.S.; Lee, E.S.; Chung, C.H.; Oh, H.J.; Kim, Y.; Chung, S.; Lee, E.Y. Glomerular Filtration Barrier Modeling on a Chip with Tunable Basement Membrane Deposition and 3D Cultured Podocytes. Lab Chip 2023, 23, 3501–3517. [Google Scholar] [CrossRef]
  50. Uwagawa, S.; Saito, K.; Nakayama, A.; Umihira, M.; Okuno, Y. Comparison of Hyaline Droplets in Rats with Chronic Progressive Nephropathy and Chemical-Induced .ALPHA.2u-Globulin Nephropathy. J. Toxicol. Pathol. 1992, 5, 195–203. [Google Scholar] [CrossRef][Green Version]
  51. Schwaiger, J.; Ferling, H.; Mallow, U.; Wintermayr, H.; Negele, R.D. Toxic Effects of the Non-Steroidal Anti-Inflammatory Drug Diclofenac. Part I: Histopathological Alterations and Bioaccumulation in Rainbow Trout. Aquat. Toxicol. 2004, 68, 141–150. [Google Scholar] [CrossRef] [PubMed]
  52. Hartoft-Nielsen, M.L.; Rasmussen, Å.K.; Feldt-Rasmussen, U.; Buschard, K.; Bock, T. Estimation of Number of Follicles, Volume of Colloid and Inner Follicular Surface Area in the Thyroid Gland of Rats. J. Anat. 2005, 207, 117–124. [Google Scholar] [CrossRef] [PubMed]
  53. Jelínek, F.; Krabačová, I.; Kroupová, V. Assessment of Functional Activity of the Bovine Thyroid Gland Using Morphometry, and Two Markers of Cellular Proliferation. Acta Vet. Brno 2003, 72, 11–16. [Google Scholar] [CrossRef][Green Version]
  54. Nilsson, M.; Mölne, J.; Jörtsö, E.; Smeds, S.; Ericson, L.E. Plasma Membrane Shedding and Colloid Vacuoles in Hyperactive Human Thyroid Tissue. Virchows Arch. B Cell Pathol. Incl. Mol. Pathol. 1988, 56, 85–94. [Google Scholar] [CrossRef] [PubMed]
  55. Reite, O.B.; Evensen, O.; Evensen, Ø. Inflammatory Cells of Teleostean Fish: A Review Focusing on Mast Cells/Eosinophilic Granule Cells and Rodlet Cells. Fish Shellfish Immunol. 2006, 20, 192–208. [Google Scholar] [CrossRef]
  56. Stritt, M.; Giraud, I.; Lilaj, L. Orbit Image Analysis Handbook; Actelion Pharmaceuticals Ltd.: Allschwil, Switzerland, 2016. [Google Scholar]
  57. OECD; European Union; EC-JRC. Handbook on Constructing Composite Indicators: Methodology and User Guide; OECD Publishing: Paris, France, 2008. [Google Scholar]
  58. Vandenberg, L.N.; Colborn, T.; Hayes, T.B.; Heindel, J.J.; Jacobs, D.R.; Lee, D.H.; Shioda, T.; Soto, A.M.; vom Saal, F.S.; Welshons, W.V.; et al. Hormones and Endocrine-Disrupting Chemicals: Low-Dose Effects and Nonmonotonic Dose Responses. Endocr. Rev. 2012, 33, 378–455. [Google Scholar] [CrossRef]
  59. Wolf, J.C. Comparing Apples and Oranges and Pears and Kumquats: The Misuse of Index Systems for Processing Histopathology Data in Fish Toxicological Bioassays. Environ. Toxicol. Chem. 2018, 37, 1688–1695. [Google Scholar] [CrossRef]
  60. Wolf, J.C. A Critical Review of Morphologic Findings and Data from 14 Toxicological Studies Involving Fish Exposures to Diclofenac. Toxicol. Pathol. 2021, 49, 1024–1041. [Google Scholar] [CrossRef]
  61. Autio-Harmainen, H. Renal Pathology of Fetuses with Congenital Nephrotic Syndrome of the Finnish Type. Acta Pathol. Microbiol. Scand. Sect. A Pathol. 1981, 89A, 215–222. [Google Scholar] [CrossRef]
  62. Qadri, A.H.; Prajapati, J.; Praghna, D.; Sinha, A.; Pasupulati, A.K. Structural and Functional Insights of the Podocyte Slit Diaphragm Complex. Tissue Barriers 2025, 2575198. [Google Scholar] [CrossRef]
  63. Grahammer, F.; Schell, C.; Huber, T.B. The Podocyte Slit Diaphragm—From a Thin Grey Line to a Complex Signalling Hub. Nat. Rev. Nephrol. 2013, 9, 587–598. [Google Scholar] [CrossRef]
  64. Pavenstädt, H.; Kriz, W.; Kretzler, M. Cell Biology of the Glomerular Podocyte. Physiol. Rev. 2003, 83, 253–307. [Google Scholar] [CrossRef] [PubMed]
  65. Mundel, P.; Shankland, S.J. Podocyte Biology and Response to Injury. J. Am. Soc. Nephrol. 2002, 13, 3005. [Google Scholar] [CrossRef]
  66. Lee, J.W.J.W.; Lee, J.W.J.W.; Kim, K.; Shin, Y.J.; Kim, J.; Kim, S.; Kim, H.; Kim, P.; Park, K. PFOA-Induced Metabolism Disturbance and Multi-Generational Reproductive Toxicity in Oryzias latipes. J. Hazard. Mater. 2017, 340, 231–240. [Google Scholar] [CrossRef] [PubMed]
  67. Chen, J.; Zheng, L.; Tian, L.; Wang, N.; Lei, L.; Wang, Y.; Dong, Q.; Huang, C.; Yang, D. Chronic PFOS Exposure Disrupts Thyroid Structure and Function in Zebrafish. Bull. Environ. Contam. Toxicol. 2018, 101, 75–79. [Google Scholar] [CrossRef]
  68. Vandenberg, L.N. Non-Monotonic Dose Responses in Studies of Endocrine Disrupting Chemicals: Bisphenol a as a Case Study. Dose-Response 2014, 12, 259–276. [Google Scholar] [CrossRef]
  69. Sayyaf Dezfuli, B.; Castaldelli, G.; Lorenzoni, M.; Carosi, A.; Ovcharenko, M.; Bosi, G. Rodlet Cells Provide First Line of Defense against Swimbladder Nematode and Intestinal Coccidian in Anguilla anguilla. Fishes 2023, 8, 66. [Google Scholar] [CrossRef]
  70. Reite, O.B. The Rodlet Cells of Teleostean Fish: Their Potential Role in Host Defence in Relation to the Role of Mast Cells/Eosinophilic Granule Cells. Fish Shellfish Immunol. 2005, 19, 253–267. [Google Scholar] [CrossRef] [PubMed]
  71. Cai, H.; Lin, Q.; Gong, C.; Yu, F.; Jin, L.; Peng, R. PFAS-Induced Immunotoxicity in Freshwater Fish of Inland China: Mechanisms and Ecological Risks. Comp. Biochem. Physiol. Part C Toxicol. Pharmacol. 2026, 300, 110382. [Google Scholar] [CrossRef]
  72. Alesci, A.; Pergolizzi, S.; Capillo, G.; Lo Cascio, P.; Lauriano, E.R. Rodlet Cells in Kidney of Goldfish (Carassius auratus, Linnaeus 1758): A Light and Confocal Microscopy Study. Acta Histochem. 2022, 124, 151876. [Google Scholar] [CrossRef]
  73. Tang, L.; Qiu, W.; Zhang, S.; Wang, J.; Yang, X.; Xu, B.; Magnuson, J.T.; Xu, E.G.; Wu, M.; Zheng, C. Poly- and Perfluoroalkyl Substances Induce Immunotoxicity via the TLR Pathway in Zebrafish: Links to Carbon Chain Length. Environ. Sci. Technol. 2023, 57, 6139–6149. [Google Scholar] [CrossRef] [PubMed]
  74. Chen, Y.; Xu, D.; Pang, G.; Zeng, F.; Sun, Y.; Xia, Q.; Zhao, L.; Li, Y.; Peng, W.; He, M. Intratracheal Perfluorooctane Sulfonate Induces Pulmonary Injury via TLRs Signaling and Disrupts Sex Steroidogenesis through Systemic Translocation. Environ. Pollut. 2026, 389, 127424. [Google Scholar] [CrossRef] [PubMed]
  75. Moeller, J. A Word on Standardization in Longitudinal Studies: Don’t. Front. Psychol. 2015, 6, 1389. [Google Scholar] [CrossRef] [PubMed]
  76. Becker, W.; Saisana, M.; Paruolo, P.; Vandecasteele, I. Weights and Importance in Composite Indicators: Closing the Gap. Ecol. Indic. 2017, 80, 12–22. [Google Scholar] [CrossRef]
  77. Fischer, S.M.; Joy, M.K.; Abrahamse, W.; Milfont, T.L.; Petherick, L.M. The Use and Misuse of Composite Environmental Indices. bioRxiv 2022, 2022.03.15.484501. [Google Scholar] [CrossRef]
  78. Stevens, S.M.; Joy, M.K.; Abrahamse, W.; Milfont, T.L.; Petherick, L.M. Composite Environmental Indices—A Case of Rickety Rankings. PeerJ 2023, 11, e16325. [Google Scholar] [CrossRef]
  79. Moeller, J. Why and When You Should Avoid Using Z-Scores in Graphs Displaying Profile or Group Differences. J. Pers.-Oriented Res. 2025, 11, 58–78. [Google Scholar] [CrossRef]
  80. Vargha, A. Comments on Julia Moeller’s Paper from a Person-Oriented Perspective. J. Pers.-Oriented Res. 2025, 11, 79–84. [Google Scholar] [CrossRef]
  81. Geven, E.J.W.; Nguyen, N.K.; Van Den Boogaart, M.; Spanings, T.; Flik, G.; Klaren, P.H.M. Comparative Thyroidology: Thyroid Gland Location and Iodothyronine Dynamics in Mozambique Tilapia (Oreochromis mossambicus Peters) and Common Carp (Cyprinus carpio L.). J. Exp. Biol. 2007, 210, 4005–4015. [Google Scholar] [CrossRef]
  82. Prata, J.C. A One Health Perspective on Water Contaminants. Water Emerg. Contam. Nanoplast. 2022, 1, 15. [Google Scholar] [CrossRef]
  83. Domingo, J.L.; Souza, M.C.O.; Nadal, M.; Barbosa, F. A One Health Approach to Polybrominated Diphenyl Ethers (PBDEs): Integrating Human, Animal, and Environmental Health Perspectives. Chemosphere 2025, 386, 144644. [Google Scholar] [CrossRef] [PubMed]
  84. Buttke, D.E. Toxicology, Environmental Health, and the “One Health” Concept. J. Med. Toxicol. 2011, 7, 329–332. [Google Scholar] [CrossRef] [PubMed]
  85. Fakhri, Y.; Pilevar, Z.; Limam, I.; Esfandiari, Z.; Zare, A.; Khodadoust, B. The Concentration of Potentially Toxic Elements in Common Carp (Cyprinus carpio) Fish: Systematic Review and Meta-Analysis and Dietary Health Risk Assessment. Biol. Trace Elem. Res. 2025, 203, 2796–2810. [Google Scholar] [CrossRef] [PubMed]
  86. Tarekegn, M.M.; Melka, A.R.; Alemayehu, Y.A. Dietary Exposure and Health Risk Assessment of Heavy Metal Bioaccumulation in Edible Tissues of Common Carp (Cyprinus carpio) from Koka Reservoir, Ethiopia. Environ. Health Insights 2025, 19, 11786302251403997. [Google Scholar] [CrossRef]
  87. Falfushynska, H.I.; Stolyar, O.B. Responses of Biochemical Markers in Carp Cyprinus carpio from Two Field Sites in Western Ukraine. Ecotoxicol. Environ. Saf. 2009, 72, 729–736. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Representative paraffin-embedded tissue section of common carp kidney showing the typical histological pattern. Alcian blue–PAS stain. Scale bar: 25 μm. The following anatomical structures can be observed: nephrons with their main components, renal corpuscles (arrowheads), proximal tubules (empty arrowheads), distal tubules (thin arrows) and collecting ducts (thick arrows); scattered thyroid follicles (curved arrows); and hematopoietic tissue (asterisks).
Figure 1. Representative paraffin-embedded tissue section of common carp kidney showing the typical histological pattern. Alcian blue–PAS stain. Scale bar: 25 μm. The following anatomical structures can be observed: nephrons with their main components, renal corpuscles (arrowheads), proximal tubules (empty arrowheads), distal tubules (thin arrows) and collecting ducts (thick arrows); scattered thyroid follicles (curved arrows); and hematopoietic tissue (asterisks).
Toxics 14 00287 g001
Figure 2. Schematic hierarchical representation of the multipurpose index, composed of nephrotoxic, thyrotoxic, and immunotoxic subindices, where individual features serve as replicates within each subindex.
Figure 2. Schematic hierarchical representation of the multipurpose index, composed of nephrotoxic, thyrotoxic, and immunotoxic subindices, where individual features serve as replicates within each subindex.
Toxics 14 00287 g002
Figure 3. Radar plot of z-scored feature values for each experimental group (unexposed, 200 ng L−1 PFOA, 2 mg L−1 PFOA), organised by subindex (nephrotoxic, thyrotoxic, and immunotoxic). The thyrotoxic subindex shows a non-monotonic dose–response: only the 200 ng L−1 PFOA group differs significantly from unexposed controls, while the 2 mg L−1 PFOA group does not differ significantly from either (cf. Table 3).
Figure 3. Radar plot of z-scored feature values for each experimental group (unexposed, 200 ng L−1 PFOA, 2 mg L−1 PFOA), organised by subindex (nephrotoxic, thyrotoxic, and immunotoxic). The thyrotoxic subindex shows a non-monotonic dose–response: only the 200 ng L−1 PFOA group differs significantly from unexposed controls, while the 2 mg L−1 PFOA group does not differ significantly from either (cf. Table 3).
Toxics 14 00287 g003
Table 1. Original (i.e., before z-scoring) feature values according to each subindex from prior research (publications, archival materials, and datasets) for the three experimental groups (unexposed, 200 ng L−1 PFOA, 2 mg L−1 PFOA).
Table 1. Original (i.e., before z-scoring) feature values according to each subindex from prior research (publications, archival materials, and datasets) for the three experimental groups (unexposed, 200 ng L−1 PFOA, 2 mg L−1 PFOA).
SubindexFeatureExperimental GroupsNoteReference
Unexposed200 ng L−1 PFOA2 mg L−1 PFOA
NephrotoxicPedicels width (nm)228228286Authors reported that only 2 mg L−1 PFOA affected the glomerular filtration barrier; therefore, the measurement from fish exposed to 200 ng L−1 PFOA was assumed to be equivalent to that of unexposed fish in the current study[22]
Basement membrane thickness (nm)146146237Authors reported that only 2 mg L−1 PFOA affected the glomerular filtration barrier; therefore, the measurement from fish exposed to 200 ng L−1 PFOA was assumed to be equivalent to that of unexposed fish in the current study[22]
Fenestrae width (nm)136136180Authors reported that only 2 mg L−1 PFOA affected the glomerular filtration barrier; therefore, the measurement from fish exposed to 200 ng L−1 PFOA was assumed to be equivalent to that of unexposed fish in the current study[22]
Proximal tubule vesiculations0.03570.05570.0918Vesiculated area/total cell area, quantified from representative archival ultrastructural images for the current study[22]
Rodlet cells (RCs) in collecting ducts00.010.35Mean number of RCs per microscopic field (semithin epoxy resin-embedded sections), evaluated for the current study from the dataset of previous research[23]
ThyrotoxicTotal thyroid follicles5.0042.3320.29Mean total number of follicles per histological section (paraffin-embedded)[19]
Vesiculated thyroid follicles1.3328.5013.57Mean total number of follicles per histological section (paraffin-embedded)[19]
Cross-sectional area (µm2)829295461Median values[20]
Perimeter (µm)1136986Median values[20]
ImmunotoxicRCs in hematopoietic tissue0.814.026.47Mean number of RCs per microscopic field (semithin epoxy resin-embedded sections)[23]
Effete RCs0.10.20.35Effete RCs/total RCs, quantified from representative archival ultrastructural images for the current study[21]
RC degranulation−0.984380.2927080.022556Factor score (mean value) from linear discriminant analysis, evaluated for the current study from the dataset of previous research[45]
Table 2. Kruskal–Wallis test.
Table 2. Kruskal–Wallis test.
Index/SubindexH Statisticdfp-Valueε2 (Rank)95% CI for ε2
Multipurpose25.122<0.0010.718[0.643, 0.828]
Nephrotoxic11.45020.0030.818[0.815, 0.959]
Thyrotoxic9.84620.0070.895[0.901, 0.931]
Immunotoxic6.48920.0390.811[0.695, 0.973]
Table 3. Dunn’s pairwise comparisons (PHolm corrected) with correct rank-biserial correlation signs (rrb).
Table 3. Dunn’s pairwise comparisons (PHolm corrected) with correct rank-biserial correlation signs (rrb).
Index/SubindexComparisonzrrb PHolm
MultipurposeUnexposed − 2 mg L−1 PFOA−4.943−1.000<0.001
MultipurposeUnexposed − 200 ng L−1 PFOA−3.185−0.9380.003
Multipurpose2 mg L−1 PFOA − 200 ng L−1 PFOA+1.758+0.5970.079
NephrotoxicUnexposed − 2 mg L−1 PFOA−3.336−1.0000.003
NephrotoxicUnexposed − 200 ng L−1 PFOA−1.173−0.6400.241
Nephrotoxic2 mg L−1 PFOA − 200 ng L−1 PFOA+2.163+1.0000.061
ThyrotoxicUnexposed − 2 mg L−1 PFOA−1.569−1.0000.233
ThyrotoxicUnexposed − 200 ng L−1 PFOA−3.138−1.0000.005
Thyrotoxic2 mg L−1 PFOA − 200 ng L−1 PFOA−1.569−1.0000.233
ImmunotoxicUnexposed − 2 mg L−1 PFOA−2.534−1.0000.034
ImmunotoxicUnexposed − 200 ng L−1 PFOA−1.491−1.0000.272
Immunotoxic2 mg L−1 PFOA − 200 ng L−1 PFOA+1.043+0.7780.297
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

Manera, M.; Manera, C.; Giari, L. Common Carp Kidney as a Multipurpose Biomarker Organ: Insights from Perfluorooctanoic Acid Exposure. Toxics 2026, 14, 287. https://doi.org/10.3390/toxics14040287

AMA Style

Manera M, Manera C, Giari L. Common Carp Kidney as a Multipurpose Biomarker Organ: Insights from Perfluorooctanoic Acid Exposure. Toxics. 2026; 14(4):287. https://doi.org/10.3390/toxics14040287

Chicago/Turabian Style

Manera, Maurizio, Cosma Manera, and Luisa Giari. 2026. "Common Carp Kidney as a Multipurpose Biomarker Organ: Insights from Perfluorooctanoic Acid Exposure" Toxics 14, no. 4: 287. https://doi.org/10.3390/toxics14040287

APA Style

Manera, M., Manera, C., & Giari, L. (2026). Common Carp Kidney as a Multipurpose Biomarker Organ: Insights from Perfluorooctanoic Acid Exposure. Toxics, 14(4), 287. https://doi.org/10.3390/toxics14040287

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