Hexafluoropropylene oxide-dimer acid (HFPO-DA) is one of the emerging replacements for the “forever” carcinogenic and toxic long-chain PFAS. HFPO-DA is a polymerization aid used for manufacturing fluoropolymers, whose global distribution and undetermined toxic properties are a concern regarding human and ecological health. To assess embryotoxic potential, zebrafish embryos were exposed to HFPO-DA at concentrations of 0.5–20,000 mg/L at 24-, 48-, and 72-h post-fertilization (hpf). Heart rate increased significantly in embryos exposed to 2 mg/L and 10 mg/L HFPO-DA across all time points. Spinal deformities and edema phenotypes were evident among embryos exposed to 1000–16,000 mg/L HFPO-DA at 72 hpf. A median lethal concentration (LC50) was derived as 7651 mg/L at 72 hpf. Shallow RNA sequencing analysis of 9465 transcripts identified 38 consistently differentially expressed genes at 0.5 mg/L, 1 mg/L, 2 mg/L, and 10 mg/L HFPO-DA exposures. Notably, seven downregulated genes were associated with visual response, and seven upregulated genes were expressed in or regulated the cardiovascular system. This study identifies biological targets and molecular pathways affected during animal development by an emerging, potentially problematic, and ubiquitous industrial chemical.
Per- and polyfluoroalkyl substances (PFAS) represent a diverse group of over 4700 chemicals that contain carbon–fluorine bonds, the strongest chemical bond in organic chemistry. PFAS (Supplementary Table S1) are widely used in many industrial and consumer products including waterproof and non-stick items, such as pans, food wrappers, waterproof fabrics, lubricants, surfactants, chemically inert composites, insulators, firefighting foams, and plastics (Beekman et al. 2016; US EPA 2022b; L. H. Yang et al. 2022). The strength of the carbon–fluorine bond makes most PFAS resistant to degradation and persistent in the environment. PFAS exposures have been associated with adverse health effects in animals, including cancer (Barry et al. 2013; Biege et al. 2001; Shearer et al. 2021; Vieira et al. 2013), endocrine disruption (Dhillon et al. 2019; Du et al. 2013), hepatotoxicity (K. Li et al. 2017), immunotoxicity (Dewitt et al. 2015), and developmental and reproductive toxicity (Conley et al. 2019; Salimi et al. 2019). The ubiquitous environmental presence of PFAS prompted the implementation of the Environmental Protection Agency PFOA Stewardship Program in 2006, requiring major fluoropolymer manufacturers to reduce or eliminate emissions of perfluorooctanoic acid (PFOA, C8HF15O2) and related chemicals (US EPA 2006). In 2012, PFAS were detected in over 97% of screened human serum samples (Lewis et al. 2015; US CDC 2012). The primary route of human exposure is through water (Franke et al. 2021); in 2016, drinking water supplies for six million Americans exceeded the United States Environmental Protection Agency’s (US EPA) PFOS and PFOA lifetime health advisory level of 70 ng/L, which has been updated to 0.02 ng/L and 0.004 ng/L, respectively (Hu et al. 2016; US EPA 2022c).
Since increasing PFAS chain length is associated with biological and chemical stability and toxicity (Hagenaars et al. 2011; Jantzen et al. 2016), long-chain PFOA was succeeded by shorter-chain, potentially less toxic, and less bioaccumulative variants. Hexafluoropropylene oxide-dimer acid (HFPO-DA, C6HF11O3), commonly referred to as GenX, is a short-chain polymer processing aid used as an alternative to PFOA to make fluoropolymers (Brandsma et al. 2019; US EPA 2022a). Having six-carbon atoms and an ether group (Supplementary Table S1) is supposedly less toxic than the eight-carbon PFOA; it is environmentally persistent (Beekman et al. 2016), highly stable, and water-soluble (Hassell et al. 2020; Liberatore et al. 2020), with a half-life of 20 h in mice (Gannon et al. 2016) compared to approximately 1000 h for PFOS (Chang et al. 2012). US EPA derived a final lifetime health advisory level in drinking water as 10 ng/L (US EPA 2022c). Cape Fear River, NC, US, a drinking water source, was reportedly contaminated by a nearby manufacturer and contained up to 4500 ng/L HFPO-DA in 2016 (Sun et al. 2016). HFPO-DA was the largest proportion of PFAS in all surface water samples along the German coastline at a mean concentration of 1.6 ng/L in 2017 (Joerss et al. 2019) and was detected in 90% of surface water samples at a mean concentration of 30 pg/L in the Arctic Ocean and its neighboring waterbodies in 2018 (Joerss et al. 2020). In 2020, rain and well-water assays in Ohio and Indiana detected HFPO-DA in six sites at 0.2–5 ng/L (Galloway et al. 2020). Evidence for HFPO-DA hepatotoxicity (Conley et al. 2021; Shi et al. 2019), and metabolic (Conley et al. 2019) and endocrine disruption (Xin et al. 2019), the risk of both acute and chronic environmental exposures, and a lack of human-health exposure data, necessitate comprehensive toxicological and ecological risk assessment.
Gene expression changes during organogenesis, fetal, and infantile development due to chemical exposures can increase susceptibility to disease later in life (Grandjean et al. 2008; Pennings et al. 2016; Peterson et al. 2000), demonstrating how environmental exposure to HFPO-DA may affect embryogenesis. Danio rerio (zebrafish) is a well-established human disease, genetics, embryology, and physiology model organism (Lieschke and Currie 2007), whose genome (Howe et al. 2013) has at least one ortholog of 71.4% of human genes and 82% of human disease-related genes. Its sensitivity to chemicals (von Hellfeld et al. 2020), compatibility with mammalian system toxicity assessment (Ducharme et al. 2015), and well-studied development (Kimmel et al. 1995) allow for robust assessments of toxicological developmental phenotypes. The goal of our study is to characterize the in vivo toxicity potential of HFPO-DA by evaluating adverse physiological effects at acute exposure levels and determining molecular targets of HFPO-DA exposures. We identified adverse acute exposure effects on morphological and physiological phenotypes, and gene expression alterations via shallow RNA sequencing during zebrafish early development.
Materials and methods
Adult zebrafish AB strain (Carolina Biological; Burlington, NC, USA) were acclimated to lab conditions for six months and maintained per established laboratory guidelines (Institute of Laboratory Animal Resources (US). Committee on Care and Use of Laboratory Animals, 1986). Ten zebrafish per liter were housed in a recirculating system in 1.3- or 3.3-L polycarbonate tanks maintained at 28.5 ± 1 °C on a 14 h light:10 h dark cycle. Adults were fed Tetramin® Tropical Flake Food (Tetra, Blacksburg, VA, USA) and brine shrimp (Brine Shrimp Direct, Ogden, UT, USA) daily. Experimental procedures, including non-surgical tissue sampling and fish embryo culturing and maintenance, were approved by the San Diego State University Institutional Animal Care and Use Committee (Animal Welfare Assurance Number A3728-01).
Breeding tanks with one female and two male F1 generation zebrafish were established 24 h before embryo collection. Adults were bred for 1 h after the onset of the light cycle, and embryos were collected in Pyrex glass dishes covered with mesh; embryos were staged (Kimmel et al. 1995) under a stereo microscope (AmScope Compact Multi-Lens Stereo Microscope, model #SE306R-A) at 30 × magnification. Debris and abnormally developing embryos manifesting severe cleavage asymmetry, detached cytoplasm, and/or broken chorions were removed. The remaining embryos were kept at 28.5 °C (Precision Microbiological Incubator, Thermo Scientific, Waltham, MA, USA) in deionized water reconstituted with Instant Ocean® (Instant Ocean Spectrum Brands, Blacksburg, VA, USA) to 60 μg/L, adjusted to pH 6.6–7.6.
Chemicals and exposure media preparation for embryo exposure
Due to the high solubility of HFPO-DA, reportedly over 751 g/L (US EPA 2021b; Nixon and Lezotte 2008), exposure solutions were prepared by directly adding HFPO-DA (Undecafluoro-2-methyl-3-oxahexanoic acid, CASRN: 13,252–13-6; 97% purity, Catalog No. 2121–3-13, SynQuest; Alachua, FL, USA) to embryo water without using a vehicle. Because pH affects embryo mortality (Andrade et al. 2017), assays using pH-neutralized HFPO-DA (pH = 6.6–7.6) were performed. pH neutralization was performed by titrating with 0.765 M NaOH and 6 M HCl (Cassar et al. 2019; OECD 2020; S. Y. Williams and Renquist 2016) and checking with a pH meter (PH220-C, Extech Instruments, Nashua, NH, USA). Prepared exposure solutions were stored in glass bottles at 4 °C one day prior to exposure. Individual embryos in 24-well plates were exposed to 2 ml of 0.5 mg/L, 1 mg/L, 2 mg/L, 10 mg/L, 1000 mg/L, 4000 mg/L, 6000 mg/L, 8000 mg/L, 10,000 mg/L, 12,000 mg/L, 16,000 mg/L, and 20,000 mg/L titrated HFPO-DA from 3 to 4 hpf, the sphere developmental stage (Kimmel et al. 1995), until 72 hpf. Negative control embryos were grown in embryo water, and positive control embryos were exposed to 4 mg/L 3,4-dichloroaniline. Embryos were incubated at 28.5 °C (Precision Microbiological Incubator, Thermo Scientific, Waltham, MA, USA) throughout exposures. Fifty percent of the exposure solution in each well was refreshed daily. pH and dissolved oxygen (DO) were noted for each plate daily. Exposures were deemed valid if over 80% of negative control embryos survived and developed normally, while over 30% of positive control embryos died (OECD 2013). Exposure sample sizes per treatment are listed in Supplementary Table S2.
Mortality, heart rates, and morphology
Embryo mortality was assessed at 24 hpf, 48 hpf, and 72 hpf using an inverted microscope (Research Grade Inverted Microscope, Infinite Optical System, Fisher Scientific, catalog # 03–000-013) and defined by coagulation of the embryo at 24 hpf or lack of heartbeat at 48 hpf and 72 hpf. Median lethal concentrations (LC50) were calculated using a sigmoidal 4PL curve via Prism (Version 9, GraphPad Software, San Diego, CA, USA).
At least 50% of embryos from each exposure were randomly selected to assess heart beats per minute (HBPM) at 24 hpf, 48 hpf, and 72 hpf. Embryo plates were acclimated to room temperature for 10 min, and each embryo was placed under the microscope light for 30 s before heartbeats were counted for 30 s. Embryos at 72 hpf were then pooled into batches of 8–10 and snap-frozen and stored at − 80 °C until RNA extraction.
Surviving larvae were imaged within wells or depression slides (SeBaCam, Laxco); lateral view images (40 ×) were used to identify malformations (von Hellfeld et al. 2020). Pericardial edema was categorized as swelling peripheral to the pericardium, and yolk-sac edema was characterized as sections of the yolk-sac that were transparent rather than pigmented and separated from the yolk-sac. Spinal deformations were qualified as curved if a line traced from eye to tip of tail deviated from 180° during any 1 mm segment aside from the head-trunk angle, or if the head-trunk angle was greater than 60°. These malformations were further categorized as kyphosis (excessive forward curve), lordosis (excessive inward curve), or scoliosis (sideways curve). The severity of malformation at 72 hpf was scored on a scale of 1 to 4, modified from the existing scoring method (Gaballah et al. 2020): Normally developing embryos were scored as 1, single malformation as 2, two malformations as 3, and four or greater malformations as 4. Effect concentration (EC50) was calculated using a sigmoidal 4PL fit curve.
Bioconcentration of HFPO-DA from water
To assess the bioaccumulative potential of HFPO-DA in zebrafish embryos, embryos were exposed to 4000 mg/L HFPO-DA at 28.5 °C until 72 hpf with 50% water changes at 24 h and 48 h. Embryos were snap-frozen at − 80 °C and collected into 15 mL high-density polypropylene Falcon tubes spun down at 4500 rpm for 2 min; the excess liquid was removed, and embryo samples were re-stored at − 80 °C. HFPO-DA embryo body burden analysis was performed by Statera Environmental, Inc. (Raleigh, NC, USA). Pooled embryos were collected, homogenized, and dried (total dry weight: 0.702 g, 2978 embryos in 0 mg/L; 1.026 g, 3067 embryos in 4000 mg/L), then subsampled to 3 replicates per condition. A bioconcentration factor (BCF) was calculated using the following equation (Veith et al. 2011):
where CF is the average concentration of HFPO-DA in embryos, and CW is the average concentration of HFPO-DA in water at 0 h, 24 h, 48 h, and 72 h. Analysis of HFPO-DA in water and embryo samples followed modified methods (Gaballah et al. 2020; US EPA 2021a). Native and mass-labeled standards (Wellington Laboratories, Inc., ON, CA) were diluted in 95% methanol:5% aqueous 2.5 M NaOH. All standards, samples, and extracts were stored in plastic at 4 °C. Water samples were diluted in 5% acetonitrile:95% water, fortified with perfluorononanoic acid (PFNA) as a surrogate and 13C3-HFPO-DA as the internal standard, and directly injected. Embryo samples were extracted by protein precipitation, pooled and subsampled to obtain three 20.0 mg replicates (~ 100 embryos), flash frozen, and homogenized using a Bead Ruptor 12 (Omni International, GA, USA) with ∼250 mg of zirconia/silica beads (1.0-mm dia) in 500 µL 0.1 M formic acid that was fortified with PFNA. The protein was precipitated with 500 µL acetonitrile fortified with the internal standard and centrifuged at 15,000 rpm for 15 min at 4 °C. A 50-µL aliquot of the extract was diluted with 200 µL of aqueous 0.4 mM ammonium formate.
Instrumental analysis of standards, water, and embryo extracts was performed on an Agilent Infinity II UHPLC (Santa Clara, CA, USA) outfitted with an Agilent PFC-Free HPLC Conversion Kit. Separation was performed on an Agilent Poroshell 120 EC-C18 column and guard column, with a Restek Ultra Aqueous C18 trap column (Bellefonte, PA, USA) and Agilent Zorbax Eclipse Plus C18 delay column, under the following conditions: mobile phase A (2 mM ammonium acetate in 5:95 acetonitrile:water), mobile phase B (acetonitrile), needle/seat wash (50:50 acetonitrile:water) using two cycles of the seat back flush and needle wash (10 s each), seal wash (10:90 isopropanol:water), injection volume 5.00 µL, flow rate 0.50 mL min−1, and solvent gradient mobile phase A; mobile phase B being initial (85%:15%), 1.00 min (85%:15%), 5.00 min (10%:90%), 6.40 min (10%:90%), and 6.50 min (85%:15%), end time 9.50 min, and column temperature 50.0 °C. The UHPLC was coupled to an Agilent 6495C triple quadrupole mass spectrometer (MS) operated in ESI negative mode, MRM scan, gas temperature 150 °C, gas flow 8L min−1 nebulizer 45 psi, sheath gas heater 200 °C, sheath gas flow 8 L min−1 capillary 3500 V, and nozzle voltage 0 V. MRM transition was precursor ion 284.9, quantification product ion 168.9, and confirmation ion 184.9 with ion ratio of 1.95 ± 0.20. The quantification reference compound was 13C3-HFPO-DA.
The stability of HFPO-DA concentration in water was assessed by preparing media following embryo exposures, with the exclusion of embryos. Exposure media (10 mL) was aged at 28.5 °C in an incubator and collected at 0 h, 24 h, 48 h, and 72 h with 50% water changes at 24 h and 48 h.
RNA isolation, cDNA library preparation, and shallow RNA sequencing
Total RNA was isolated from pooled samples of 8–10 embryos with four pools for each exposure using the TRIzol reagent protocol (Invitrogen, Carlsbad, CA, USA). Briefly, TRIzol was added to frozen embryos, before allowing embryos to thaw. Samples were homogenized in a Bead Mill 4 (Fisher Scientific, PA) using sterile 2 mm glass beads and resuspended in 50 µL RNase-free water. The quantity and quality of samples were determined using a NanoDrop 2000 (A260/280 and A260/230 > 1.8). Between 500 and 750 ng of total RNA per sample were delivered to the Scripps Research Genomics Core (San Diego, CA, USA) for library prep and shallow RNA sequencing (RNA-Seq).
Sample quality was assessed using a 2100 Bioanalyzer 2100 (Agilent Technologies) (RIN > 8.5). Library preparation was performed using the HTP RNA-Seq Library Prep Kit (iGenomX Inc, San Francisco, CA, USA). Briefly, barcoded oligo dT primers were added to 50 ng RNA per sample and reverse transcribed. Sample cDNA products were combined, cleaned, and run through PCR with 0.5 µM barcoded PCR primers (p5 and p7 sequences, Illumina, San Diego, CA, USA). Purified PCR products were sequenced using a NextSeq2000 sequencer (paired-end mode; read1: 26 bp, read2: 94 bp), generating greater than 1.5 million paired-end reads for each sample.
Shallow RNA sequencing quality control and data processing
Sample data were demultiplexed by Scripps Research Genomics Core using BBTools (version 37.62) (Bushnell et al. 2017). Raw shallow RNA-Seq data quality was assessed using FastQCR (Kassambara 2019), and UMIs were extracted using UMI-tools (version 1.1.2) (Smith et al. 2017). To remove adapters and optimize for differential expression detection, Trimmomatic (version 0.40) was used to remove the first 16 bases of each read, trim reads according to a sliding window of length 4 and minimum Phred score of 20, and to remove resulting reads shorter than 20 bases (Bolger et al. 2014). SortmeRNA (version 2.1) was used to filter out contaminating rRNA (Kopylova et al. 2012). The remaining reads were aligned to zebrafish genome assembly version 10 (GRCz10) using STAR (version 2.7.3a) (Dobin et al. 2013). PCR deduplication was performed using extracted UMIs via UMI-tools (Smith et al. 2017). Read counts per gene were quantified using HTSeq (version 0.13.5) with default settings (Putri et al. 2022), and transcript variants were treated as single genes. Gene expression was normalized using a trimmed mean of M values (TMM) (Robinson & Oshlack 2010). Differential expression analysis was performed in parallel using the noiseqbio function of NOISeq (version 2.14.1) on data filtered in increments of 0.25 from 0 to 5 CPM (Tarazona et al. 2015). gGenes of > 2.75 average CPM were selected for further analysis. Raw and processed shallow RNA-Seq data were deposited in the National Center for Biotechnology Information Gene Expression Omnibus under the accession GSE198976 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE198976).
Shallow RNA-Seq results were verified via qRT-PCR analysis, using statistically significant six upregulated (minimum fold change of 2.59-fold) and five downregulated (minimum fold change of 1.56-fold) genes in all exposures. actb1 was selected for housekeeping gene normalization based on its reliability (McCurley et al. 2008; Tang et al. 2007; Xu et al. 2016) and stable expression within and between exposures. Primers were designed using Primer-BLAST (J. Ye et al. 2012) with standard parameters (Supplementary Table S3). Equal concentrations from three shallow RNA-Seq replicates were pooled for qRT-PCR per iTaq Universal SYBR Green One-Step kit protocol (Bio-Rad, Hercules, CA, USA). qRT-PCR results were analyzed with the 2−ΔΔCt method. To compare expression values between qRT-PCR and shallow RNA-Seq, counts from shallow RNA-Seq were normalized using the transcript per million (TPM) (B. Li and Dewey 2011) and TMM methods relative to actb1.
Data normality for embryo survival, morphology, and HBPM was evaluated using Shapiro–Wilk (p < 0.05), and equal variance was tested using the Brown-Forsythe method (p < 0.05). Survival, HBPM, and morphometric measurements between exposure groups were analyzed by one-way ANOVA with Tukey’s HSD if data were normal and equally variable. Nonparametric data were analyzed with a Kruskal–Wallis ANOVA with Dunn’s multiple comparisons for equal variances, or Steel–Dwass’ multiple comparisons for unequal variance. Dose–response curves for malformations were fitted to the model with the lowest Akaike Information Criterion, p < 0.05. JMP Pro (version 14.0, SAS Institute Inc, Cary, NC, USA) was used for statistical analysis and figure generation.
Pairwise differential gene expression was determined using the noiseqbio function of NOISeq (version 2.14.1), with the thresholds q > 0.9 and FDR < 0.1 (Tarazona et al. 2015). Agglomerative hierarchical clustering was performed using Ward’s method in the R package cluster (Maechler et al. 2022). Enrichment in Gene Ontology (GO, Open Biological Ontologies Foundation) biological process terms was quantified via the Cytoscape plugin BiNGO (version 3.0.5) using total zebrafish genome annotation as background (hypergeometric test, Benjamini–Hochberg p < 0.05) (Maere et al. 2005). Figures were generated using R (version 4.1.2) packages ComplexHeatmap (Gu et al. 2016) and GOplot (Walter et al. 2015).
Embryo survival and morphology
Untitrated exposure survival at concentrations of 60–150 mg/L HFPO-DA was significantly lower than control (p < 0.05; Supplementary Fig. S1 and Table S4), with an LC50 of 51.12 mg/L. Titrated exposure survival was significantly lower than control from 6000 to 20,000 mg/L (p < 0.05), with an LC50 of 7651 mg/L (95% CI 5976–8080 mg/L; Fig. 1, Supplementary Table S2).
Malformations identified in the 1000–16,000 mg/L exposures range increased in severity with increasing exposure concentration (Fig. 2A, Supplementary Table S2), with the lowest observed adverse effect level (LOAEL) at 4000 mg/L (p < 0.001). The half-maximal effective concentration (EC50) was 4636 mg/L (95% CI = 3207–11,179 mg/L). Stunted growth (Fig. 2C.f, 1000–16,000 mg/L) was marked by spinal deformations, including kyphosis (Fig. 2C.o, 4000–16,000 mg/L), scoliosis (Fig. 2C.u, 4000–16,000 mg/L), lordosis (Fig. 2C.v, 4000–16,000 mg/L), and tail kinks (Fig. 2C.k, 4000–16,000 mg/L). Other malformation phenotypes were pericardial edema and hemorrhage (Fig. 2C.n, 1000–10,000 mg/L) and yolk-sac edema (Fig. 2C.q, 1000–10,000 mg/L). Forty-six percent of embryos exposed to 1000–16,000 mg/L HFPO-DA manifested spinal deformations, while edemas/hemorrhaging were apparent in 21.2% of embryos.
Embryo heart rate
Embryo HBPM at 72 hpf was significantly higher relative to control at the LOAEL of 2 mg/L (NO observed adverse effect level, NOAEL = 1 mg/L) and at 10 mg/L (Fig. 3, p < 0.01; Supplementary Table S5). HBPM increased during all exposure concentrations up to 10 mg/L, except for 48 hpf 0.5 mg/L. The increase in HBPM was the greatest between 0 and 10 mg/L (24 hpf: 16.75%, 48 hpf: 8.23%, 72 hpf: 8.09%). HBPM decreased most at 6000 mg/L (mean ± SD, 24 hpf: 55.55 ± 12.03, 48 hpf: 119.73 ± 27.82, 72 hpf: 146 ± 157.15 HBPM) relative to controls (p < 0.01; Supplementary Table S6).
Embryo body burden
Exposure media at 0–20,000 mg/L HFPO-DA had a mean percent deviation of 8.34% ± 6.21 (Supplementary Table S7). Based on three pooled replicates of X embryos per replicate (1.026 g dry weight) exposed to 4000 mg/L HFPO-DA, the body burden was 479 ± 43 mg/kg HFPO-DA (Table 1); the bioconcentration factor was 0.12 L/kg dry weight. No HFPO-DA was detected in control exposure media or control embryo tissues.
Shallow RNA-Seq analysis of gene expression
Of 9465 genes analyzed, 16.47% (1559 genes) were differentially expressed in embryos exposed to 0.5 mg/L, 1 mg/L, 2 mg/L, or 10 mg/L HFPO-DA (q > 0.9, FDR < 0.1; Fig. 4, Supplementary Table S1); relative to control embryo gene expression, 41% of differentially expresses genes (DEGs) were downregulated and 59% were upregulated. Most DEGs (616 genes) were in the lowest HFPO-DA exposure of 0.5 mg/L, while the 1 mg/L exposure had the least (487 genes). The percentage of DEGs per individual exposure and percentage overlaps are presented in Fig. 4, and the ten highest and ten lowest expressed genes in each exposure are presented in Supplementary Fig. S2 and Table S2.
DEGs in at least one exposure (1559 genes) are designated as set A (Fig. 5A), while DEGs shared across all four exposures are designated set S (Fig. 5B). Hierarchical clustering outlines seven clusters within set A and five clusters in set S (Fig. 5, Supplementary Tables S3, S4, S5, and S6). Cluster A1 (349 genes, 94.3% downregulated) is enriched for genes related to perception: A subset of 11 downregulated genes forms cluster S1, which is enriched for the detection and response of abiotic, chemical, and light stimuli; another subset of 7 downregulated genes form cluster S2, which is enriched for the development of eye and nervous systems. Upregulated clusters A3 (237 genes, 85% upregulated) and S4 (8 genes, 100% upregulated) are enriched for gene expression regulation and macromolecular biosynthesis. Cluster A2 (275 genes, 98.5% upregulated) and cluster S3 (5 genes, 100% upregulated) have DEGs implicated in defense responses to fungus and respiratory burst. Cluster S5 DEGs (6 genes, 100% upregulated) regulate actin filament-based movement, cardiac muscle cell contraction, and activation of NF-kappaB-inducing kinase activity. Clusters A4 (172 genes, 95.6% upregulated), A6 (93 genes, 100% downregulated), and A7 (129 genes, 100% upregulated) were not enriched for any terms at an FDR adjusted p < 0.05.
Gene ontology analysis revealed enriched biological processes in set S. Three genes, aldocb (downregulated), suclg1 (upregulated), and ugt5d1 (upregulated), are involved in metabolic processes; aldocb and suclg1 encode key proteins in cellular respiration, while ugt5d1 is involved in drug metabolism. Six downregulated genes (dpysl5b, gad1b, vat1, nsfa, lhfpl3, smarcd1) are involved in neurotransmission or neurogenesis, and ten downregulated genes (pde6hb, pde6c, prph2, gnat2, gngt2b, opn1mw1, opn1sw1, opn1sw2, syt5b, cdk5r2a, obsl1a, dio3a) are involved in eye development or the phosphodiesterase 6 (PDE6) phototransduction cascade. Seven upregulated genes (znfl2a, fbxl22, col22a1, ncf1, rplp1, rps15a, rps27.1) play a role in muscle contraction, regulation of vascular stability, or hemopoietic development. Major enrichment terms and associated DEGs are shown in Fig. 6.
Expression of 11 genes at 0 mg/L, 0.5 mg/L, and 10 mg/L HFPO-DA exposures were compared between shallow RNA sequencing and qRT-PCR (Supplementary Fig. S3): Nine genes’ expression patterns correlated, and two did not (obsl1a, dio3a; Supplementary Table S7). R2 values of TMM-normalized shallow RNA-Seq expression to qRT-PCR ∆Ct values are 0.68, 0.737, and 0.725 at 0 mg/L, 0.5 mg/L, and 10 mg/L HFPO-DA exposure, respectively.
This study assessed the toxicity potential of the emerging PFAS HFPO-DA during animal development. High concentrations of HFPO-DA exposures resulted in morphological changes, including scoliosis and edema at lethal HFPO-DA concentrations, increases in HBPM, and significant gene expression changes in visual and cardiovascular systems at sublethal concentrations among zebrafish embryos assayed from 3 to 72 hpf. Data were derived from pH-neutralized HFPO-DA exposures to avoid confounding effects of acid toxicity; the pH of exposure media was not discussed in prior studies, which may explain variations in reported PFAS lethality and adverse effects (Gebreab et al. 2020; Wasel et al. 2020). We utilized the cost-effective shallow RNA sequencing method (Atallah et al. 2013; Sholder et al. 2020; C. Ye et al. 2018) to analyze the expression of 9465 genes at four exposure concentrations (0.5 mg/L, 1 mg/L, 2 mg/L, and 10 mg/L) of HFPO-DA. Our results reveal overlapping sets of enrichment terms consistent across exposures, including altered expression of genes expressed in the heart and vascular tissue, suggesting cardiovascular toxicity of HFPO-DA, like its predecessor PFOA (Salimi et al. 2019).
To evaluate HFPO-DA toxicity, we first determined the lethal concentrations in developing zebrafish embryos. The untitrated LC50 corresponds to an estimated pH of 4.3 (Supplementary Fig. S1 and Table S1). We derived a stronger correlation of embryo survival with acidity (R2 = 0.80) than with the HFPO-DA concentration (R2 = 0.65) in untitrated HFPO-DA media. Therefore, the LC50 in untitrated HFPO-DA of 51 mg/L, which agrees with the reported LC50 of 170 µM (56 mg/L) (Satbhai et al. 2022), is more likely due to the low pH rather than HFPO-DA-specific exposure, highlighting the pH effect of PFAS on zebrafish embryo mortality and the need to neutralize pH in aqueous exposure experiments (Wasel et al. 2020).
LC50 of pH-neutralized HFPO-DA is 7651 mg/L (95% CI = 5976–8080 mg/L) in zebrafish embryos exposed from 3 to 72 hpf. We utilized much higher concentration exposures than measured in environmental samples and occupational exposure hazards (Olsen et al. 2007) to establish lethal levels of HFPO-DA in zebrafish embryos and to explore differential gene expression using shallow RNA-Seq. LC50s of PFAS were reported in the thousands of milligrams per liter, including pentafluorobenzoic acid (PFBA) at 13,795 mg/L (96 hpf) (Godfrey et al. 2017), and PFBA and perfluorobutanesulfonic acid (PFBS) at greater than 3000 mg/L (120 hpf) (Hagenaars et al. 2011). Such LC50s are much higher than those of phased-out long-chain PFAS, including PFOA (473 mg/L, 96 hpf) or PFOS (70.17 mg/L, 120 hpf; 2.2 mg/L, 120 hpf) in similar zebrafish embryo studies (Ding et al. 2012; Godfrey et al. 2017; Huang et al. 2010), suggesting lower HFPO-DA toxic potential to zebrafish embryos than its long-chain predecessors. Furthermore, we analyzed the body burdens of embryos exposed to 4000 mg/L HFPO-DA until 72 hpf and determined a bioconcentration factor of 0.12, similar to reported low BCF values of 0.29 to 0.49 after 144 hpf zebrafish embryo exposures to 25.1–44.8 µM HFPO-DA (Gaballah et al. 2020). The low BCF value indicates that HFPO-DA does not bioaccumulate under our experimental conditions.
The incidence of malformation in zebrafish embryos was evident at nonlethal (1000 mg/L) to 100% lethal (20,000 mg/L) HFPO-DA exposures (Fig. 2). Observed spinal deformities, edema, and hemorrhaging are common phenotypes in zebrafish developmental toxicity (Lee et al. 2020; Martínez et al. 2019) and are often reported in zebrafish PFAS exposures (Gebreab et al. 2020; Huang et al. 2010; Martínez et al. 2019). Spinal deformations were the dominant malformation observed in zebrafish embryos exposed to 1000–20,000 mg/L HFPO-DA. Kyphosis at the head-trunk junction not qualified as spinal curvature may be due to developmental delay, as the development between the pectoral fin (60 hpf) and protruding mouth (72 hpf) involves a gradual straightening of the head-trunk angle (from 55° to 25°), extension of the pectoral fin, protrusion of the jaw, and decrease in yolk-size (Kimmel et al. 1995). Malformations were evident in all exposures above 1000 mg/L; only 12.8% of hatched embryos at 1000 mg/L exhibited malformation compared to 83.3% at 4000 mg/L. Malformations were significant in 4000–20,000 mg/L exposures (Fig. 2), and their incidence increased with higher exposure concentrations (R2 = 0.6375), indicating a positive dose–response relationship.
Heart rate is a common co-indicator of cardiac disruption when reported with morphological effects (Craig et al. 2006; Kuhota et al. 1997). Zebrafish are an established model for human cardiac disease (den Hoed et al. 2013; Gierten et al. 2020; Milan et al. 2003), and their cardiac rhythm and regulation via electrical conduction are similar to those in humans (Arnaout et al. 2007; Gauvrit et al. 2022; Nemtsas et al. 2010). Interestingly, HBPM increased in a dose-dependent manner at 0.5–10 mg/L exposures, and HBPM decreased in a dose-dependent manner at 1000–6000 mg/L (Fig. 3). Tachycardia at low-level chemical exposures followed by bradycardia at higher levels has previously been observed (Han et al. 2021; Maeda et al. 2021) and may indicate a hormetic cardiac response to HFPO-DA exposure (Sampurna et al. 2019). Tachycardia and bradycardia can affect the regulation of cardiac muscular contractility (Søndergaard et al. 2015) or circulatory demand in response to respiratory and metabolic stress (Miller et al. 2014). Co-occurrence of pericardial edema and hemorrhaging with bradycardia at these concentrations and increased mortality from 6000 to 20,000 mg/L strongly indicate cardiovascular defects (Duan et al. 2013; Liu et al. 2017).
During normal embryo development, the transcriptome landscape is dynamic (H. Yang et al. 2013), with significant changes in the gene expression marking distinct stages of embryo development. To better understand the mechanisms of HFPO-DA-induced morphological and physiological effects, we utilized shallow RNA-Seq analysis. To compensate for expected false negatives due to low sequencing depth, we used NOISeq, a nonparametric tool with high sensitivity at low sequencing depth (C. R. Williams et al. 2016), and applied a threshold q > 0.9 (equivalent to FDR < 0.1). Seventy-one percent of detected DEGs were significant in only one exposure relative to control (Fig. 4). Surprisingly, the highest number of DEGs was detected at the lowest exposure concentration, possibly indicating changing tolerance (Andrade et al. 2017) to HFPO-DA across the exposures, or a non-monotonic dose response (Z. H. Li et al. 2013). The ten most upregulated and downregulated genes in each exposure share functional similarities: Most of these genes are related to eye, neural, and vascular systems, metabolism/biosynthesis, gene expression regulation, and development (70%, 70%, 75%, and 80% in 0.5 mg/L, 1 mg/L, 2 mg/L, and 10 mg/L, respectively). Set A (1559 DEGs) and set S (38 DEGs) share GO terms (74 terms; 29.4% of set A, 55.22% of set S; Supplementary Tables S3, S4, S5, and S6) despite set S constituting only 2.4% of the total DEGs (Fig. 5). Set S was further analyzed since it consists of DEGs across all exposures.
Visual sensation begins with the excitation of opsins (such as opn1mw1, opn1sw1, and opn1sw2), which activate photoreceptor-specific G-protein transducin subunits, encoded by gnat2 and gngt2b (Lagman et al. 2015; Tsujikawa and Malicki 2004). This initiation of the signaling cascade is followed by the activation of the PDE6 complex by gnat2. Zebrafish embryos are capable of shadow-induced startle response at 72 hpf once opsin expression has spread to cones (Easter and Nicola 1996). Furthermore, light-response hypoactivity has been reported in zebrafish exposed to 0.76 µM HFPO-DA (250 µg/L) until 120 hpf (Rericha et al. 2021). Downregulation of dio3a is notable, as knockdown of dio3a previously demonstrated delays in eye development through the regulation of thyroid hormone (Bagci et al. 2015; Heijlen et al. 2014; Houbrechts et al. 2016). Downregulation of opsin expression and PDE6 complex subunits during light sensitivity development suggests a mechanism by which HFPO-DA could disrupt visual sensory response, while the downregulation of dio3a suggests the developmental delay is responsible for the decreased expression of genes related to the visual system. Light-response assays during advanced developmental stages are needed to confirm these genotype–phenotype correlations induced by HFPO-DA exposures.
Glutamate decarboxylase gad1b, which is downregulated in exposed embryos, acts downstream of the Krebs (tricarboxylic acid) cycle to produce gamma-aminobutyric acid (GABA) (Buddhala et al. 2009). gad1b is regularly differentially expressed when GABAergic activity is affected by chemical exposure (Filippi et al. 2014; Yu et al. 2017), and its knockdown is reported to induce craniofacial defects in zebrafish embryos (O’Connor et al. 2019). Downregulated genes dpysl5b and nsfa are essential for axon development (Takeuchi et al. 2017) and the neuroendocrine system (Kurrasch et al. 2009; Woods et al. 2006), respectively. Decreased gad1b, nsfa, and dpys5b expression may indicate HFPO-DA interference with embryo neurotransmission at 72 hpf via GABA biosynthesis and neural development inhibition. Although exposures up to 26.4 mg/L HFPO-DA until 144 hpf suggested no neurodevelopmental toxicity (Gaballah et al. 2020), hypoactivity in dechorionated zebrafish embryos exposed to 250 µg/L HFPO-DA until 120 hpf suggests neurodevelopmental effect (Rericha et al. 2021).
Upregulated gene fbxl22 encodes the substrate binding subunit of SCF-E3 ligase (Hughes et al. 2020) responsible for the ubiquitination and regulation of sarcomeric proteins. fbxl22 overexpression induces atrophy and degradation of essential sarcomeric proteins in mouse skeletal muscle (Hughes et al. 2020), while knockdown in zebrafish embryos severely impairs muscle contraction (Spaich et al. 2012). Furthermore, fbxl22 overexpression and subsequent sarcomere disassembly have been described in cardiomyocyte regeneration at sites of injury (Beisaw et al. 2020). col22a1 and znfl2a are associated with the development and maintenance of zebrafish vascular systems (Qian et al. 2005); overexpression of col22a1 has been shown to rescue an increased vascular permeability phenotype in homozygous col22a1 mutants (Ton et al. 2018). col22a1 knockdown has further been shown to induce muscular dystrophy and muscle fiber detachment in zebrafish embryos (Charvet et al. 2013). Although the DEGs in this study provide no direct evidence for HBPM increase, the upregulation of fbxl22 may indicate cardiac stress and vascular effect via upregulation of col22a1 and znfl2a, while col22a1 upregulation may be relevant to scoliosis phenotype at 4000 to 12,000 mg/L HFPO-DA exposures. Increased HBPM at 2 mg/L and 10 mg/L HFPO-DA may be a manifestation of cardiovascular stress, but the mechanism of action is unclear without additional loss-of-function/gain-of-function experiments coupled with histological and angiographic data. Clusters of downregulated vision and neurogenesis genes and upregulated cardiovascular genes (Fig. 5) suggest system-specific adverse effects of HFPO-DA exposure.
High-level exposures toxicity studies of novel chemicals or unknown mechanisms of action are necessary to determine toxicological potential, derive lethal concentration parameters, identify morphological, physiological, and molecular toxicity targets, and anticipate adverse effects during potential acute and cumulative chronic occupational and environmental exposures (Kakade et al. 2020). Both molecular mechanisms and the relationships between exposure concentration and toxic effects with time need to be considered to understand the toxicity of chemicals to a developing organism (Tennekes and Sánchez-Bayo 2013). Novel yet ubiquitous chemicals such as HFPO-DA potentially having non-specific receptor binding or involving slowly reversible binding to some receptors that do not contribute to toxicity may be time-dependent; however, their effects may also depend primarily on the exposure concentration, with time playing a minor role. Consequently, the mechanism of toxicity has important implications for risk assessment (Tennekes and Sánchez-Bayo 2013). Conventional toxicity testing relies on extensive observations of phenotypic endpoints in vivo. The utility of novel materials and chemicals mandates a better understanding of the morphological, physiological, genetic, and molecular targets and changes occurring in exposed biological systems.
Our experimental design has several limitations: Pooling whole embryos and larvae does not address individual variation or tissue- or cell type-specific effects, likely resulting in a loss of tissue-specific markers and organ-targeting toxicity of HFPO-DA. Nonetheless, several genes affecting visual and cardiovascular systems suggest HFPO-DA tissue-specific effects might be of further interest. While generally, there is a significant correlation between gene transcription and protein synthesis (Maier et al. 2009), we did not assess the HFPO-DA effects post-transcriptionally. HBPM was the only in vivo quantified physiological phenotype combined with gene expression at 0.5 mg/L, 1 mg/L, 2 mg/L, and 10 mg/L HFPO-DA. Because increased lethality, malformation, and neurodevelopmental toxicity with extended exposures to other PFAS (past 80 hpf or 96 hpf) have been reported (Gebreab et al. 2020; Huang et al. 2010; Mylroie et al. 2021), we recommend that future studies focus on sublethal concentration and extend the exposure time to swimming and feeding young larvae, thus allowing for behavioral assays. Histology or in situ hybridization analyses are complements to gene expression when evaluating HFPO-DA-induced organ-specific genotype–phenotype correlations.
Transcriptomics allows for detecting organisms’ responses to environmental, chemical, and physical agents by directly measuring the molecular alterations (Kinaret et al. 2020; Serra et al. 2020). In this study, we intergraded classical in vivo developmental toxicology with toxicogenomics to the characterization of the mechanism of action (MOA) and molecular targets of HFPO-DA. We report altered HBPM, morphological changes including scoliosis and edema at lethal HFPO-DA concentrations, and effects on the expression of genes relevant to the development of nervous and cardiovascular systems in zebrafish embryos assayed from 3 to 72 hpf. While we report HFPO-DA-induced alterations at extremely high exposures that are 104- to 109-fold higher than levels detected at sites contaminated with HFPO-DA, our study identifies adverse effects, corresponding molecular targets (Alexander-Dann et al. 2018), and biological pathways affected by HFPO-DA during early zebrafish development. Adverse effects and altered phenotypes in this study are observed only at extremely high acute exposure concentrations and were not detected during low-level exposures (Gaballah et al. 2020). Our data on exposure time, dose, complex endpoint selection, and potential targets of toxicity during animal development are important to better understand and predict HFPO-DA chemical toxicity potential. To our knowledge, this is the first study to examine the effects of HFPO-DA exposure on heart physiology and gene expression through shallow RNA-Seq. As the next phase of further assessing HFPO-DA toxicity potential, we recommend longer chronic exposures at environmentally relevant concentrations and considering phenotypes and molecular targets identified in our study.
The shallow RNA-Seq datasets generated and analyzed during the current study are available in NCBI’s Gene Expression Omnibus and are accessible through GEO Series accession number GSE198976 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE198976). All datasets used and analyzed during the current study are available from the corresponding author upon reasonable request.
- HBPM :
Heart beats per minute
- hpf :
- HFPO-DA :
Hexafluoropropylene oxide-dimer acid
- PFAS :
Per- and polyfluoroalkyl substances
Alexander-Dann B, Pruteanu LL, Oerton E, Sharma N, Berindan-Neagoe I, Módos D, Bender A (2018) Developments in toxicogenomics: understanding and predicting compound-induced toxicity from gene expression data. Molecular Omics 14(4):218–236. https://doi.org/10.1039/C8MO00042E
Andrade TS, Henriques JF, Almeida AR, Soares AMVM, Scholz S, Domingues I (2017) Zebrafish embryo tolerance to environmental stress factors—concentration–dose response analysis of oxygen limitation, pH, and UV-light irradiation. Environ Toxicol Chem 36(3):682–690. https://doi.org/10.1002/ETC.3579
Arnaout R, Ferrer T, Huisken J, Spitzer K, Stainier DYR, Tristani-Firouzi M, Chi NC (2007) Zebrafish model for human long QT syndrome. Proc Natl Acad Sci USA 104(27):11316–11321. https://doi.org/10.1073/pnas.0702724104
Atallah J, Plachetzki DC, Jasper WC, Johnson BR (2013) The utility of shallow RNA-Seq for documenting differential gene expression in genes with high and low levels of expression. PLoS ONE 8(12):e84160. https://doi.org/10.1371/journal.pone.0084160
Bagci E, Heijlen M, Vergauwen L, Hagenaars A, Houbrechts AM, Esguerra C, v., Blust, R., Darras, V. M., & Knapen, D. (2015) Deiodinase knockdown during early zebrafish development affects growth, development, energy metabolism, motility and phototransduction. PLoS ONE 10(4):e0123285. https://doi.org/10.1371/JOURNAL.PONE.0123285
Barry V, Winquist A, Steenland K (2013) Perfluorooctanoic acid (PFOA) exposures and incident cancers among adults living near a chemical plant. Environ Health Perspect 121(11–12):1313–1318. https://doi.org/10.1289/EHP.1306615
Beekman M, Zweers P, Muller A, de Vries W, Janssen P, and Zeilmaker M (2016) Evaluation of substances used in the GenX technology by Chemours, Dordrecht. RIVM Letter Report. https://rivm.openrepository.com/handle/10029/620796. Accessed 8 Apr 2022
Beisaw A, Kuenne C, Guenther S, Dallmann J, Wu CC, Bentsen M, Looso M, Stainier DYR (2020) AP-1 contributes to chromatin accessibility to promote sarcomere disassembly and cardiomyocyte protrusion during zebrafish heart regeneration. Circ Res 126(12):1760–1778. https://doi.org/10.1161/CIRCRESAHA.119.316167
Biege LB, Hurtt ME, Frame SR, O’Connor JC, Cook JC (2001) Mechanisms of extrahepatic tumor induction by peroxisome proliferators in male CD rats. Toxicol Sci 60(1):44–55. https://doi.org/10.1093/TOXSCI/60.1.44
Bolger AM, Lohse M, Usadel B (2014) Trimmomatic: a flexible trimmer for Illumina sequence data. Bioinformatics 30(15):2114. https://doi.org/10.1093/BIOINFORMATICS/BTU170
Brandsma SH, Koekkoek JC, van Velzen MJM, de Boer J (2019) The PFOA substitute GenX detected in the environment near a fluoropolymer manufacturing plant in the Netherlands. Chemosphere 220:493–500. https://doi.org/10.1016/J.CHEMOSPHERE.2018.12.135
Buddhala C, Hsu CC, Wu JY (2009) A novel mechanism for GABA synthesis and packaging into synaptic vesicles. Neurochem Int 55(1–3):9–12. https://doi.org/10.1016/J.NEUINT.2009.01.020
Bushnell B, Rood J, Singer E (2017) BBMerge – accurate paired shotgun read merging via overlap. PLoS ONE 12(10):e0185056. https://doi.org/10.1371/JOURNAL.PONE.0185056
Cassar S, Beekhuijzen M, Beyer B, Chapin R, Dorau M, Hoberman A, Krupp E, Leconte I, Stedman D, Stethem C, van den Oetelaar D, Tornesi B (2019) A multi-institutional study benchmarking the zebrafish developmental assay for prediction of embryotoxic plasma concentrations from rat embryo–fetal development studies. Reprod Toxicol 86:33–44. https://doi.org/10.1016/J.REPROTOX.2019.02.004
Chang SC, Noker PE, Gorman GS, Gibson SJ, Hart JA, Ehresman DJ, Butenhoff JL (2012) Comparative pharmacokinetics of perfluorooctanesulfonate (PFOS) in rats, mice, and monkeys. Reprod Toxicol 33(4):428–440. https://doi.org/10.1016/J.REPROTOX.2011.07.002
Charvet B, Guiraud A, Malbouyres M, Zwolanek D, Guillon E, Bretaud S, Monnot C, Schulze J, Bader HL, Allard B, Koch M, Ruggiero F (2013) Knockdown of col22a1 gene in zebrafish induces a muscular dystrophy by disruption of the myotendinous junction. Development (cambridge) 140(22):4602–4613. https://doi.org/10.1242/dev.096024
Conley JM, Lambright CS, Evans N, Strynar MJ, McCord J, McIntyre BS, Travlos GS, Cardon MC, Medlock-Kakaley E, Hartig PC, Wilson VS, Gray LE (2019) Adverse maternal, fetal, and postnatal effects of hexafluoropropylene oxide dimer acid (GenX) from oral gestational exposure in Sprague-Dawley rats. Environ Health Perspect 127(3):37008. https://doi.org/10.1289/EHP4372
Conley JM, Lambright CS, Evans N, McCord J, Strynar MJ, Hill D, Medlock-Kakaley E, Wilson VS, Gray LE (2021) Hexafluoropropylene oxide-dimer acid (HFPO-DA or GenX) alters maternal and fetal glucose and lipid metabolism and produces neonatal mortality, low birthweight, and hepatomegaly in the Sprague-Dawley rat. Environ Int 146:106204. https://doi.org/10.1016/J.ENVINT.2020.106204
Craig MP, Gilday SD, Hove JR (2006) Dose-dependent effects of chemical immobilization on the heart rate of embryonic zebrafish. Lab Animal 35(9):41–47. https://doi.org/10.1038/laban1006-41
den Hoed M, Eijgelsheim M, Esko T, Brundel BJJM, Peal D S, Evans DM, Nolte IM, Segrè AV, Holm H, Handsaker RE, Westra HJ, Johnson T, Isaacs A, Yang J, Lundby A, Zhao JH, Kim YJ, Go MJ, Almgren P, … Loos RJF (2013) Identification of heart rate–associated loci and their effects on cardiac conduction and rhythm disorders. Nat Gen 45(6), 621–631. https://doi.org/10.1038/ng.2610
Dewitt JC, Williams WC, Creech NJ, Luebke RW (2015) Suppression of antigen-specific antibody responses in mice exposed to perfluorooctanoic acid: role of PPARα and T- and B-cell targeting. J Immunotoxicol 13(1):38–45. https://doi.org/10.3109/1547691X.2014.996682
Dhillon SS, Torell F, Donten M, Lundstedt-Enkel K, Bennett K, Rännar S, Trygg J, Lundstedt T (2019) Metabolic profiling of zebrafish embryo development from blastula period to early larval stages. PLoS ONE 14(5):e0213661. https://doi.org/10.1371/JOURNAL.PONE.0213661
Ding G, Zhang J, Wang M, Chen Y, Luo G, Xiong D (2012) Evaluation and prediction of mixture toxicity of PFOS and PFOA to zebrafish (Danio rerio) embryo. Adv Mater Res 485:297–300. https://doi.org/10.4028/WWW.SCIENTIFIC.NET/AMR.485.297
Dobin A, Davis CA, Schlesinger F, Drenkow J, Zaleski C, Jha S, Batut P, Chaisson M, Gingeras TR (2013) STAR: ultrafast universal RNA-seq aligner. Bioinformatics (oxford, England) 29(1):15–21. https://doi.org/10.1093/BIOINFORMATICS/BTS635
Du G, Hu J, Huang H, Qin Y, Han X, Wu D, Song L, Xia Y, Wang X (2013) Perfluorooctane sulfonate (PFOS) affects hormone receptor activity, steroidogenesis, and expression of endocrine-related genes in vitro and in vivo. Environ Toxicol Chem 32(2):353–360. https://doi.org/10.1002/ETC.2034
Duan J, Yu Y, Li Y, Yu Y, Sun Z (2013) Cardiovascular toxicity evaluation of silica nanoparticles in endothelial cells and zebrafish model. Biomaterials 34(23):5853–5862. https://doi.org/10.1016/J.BIOMATERIALS.2013.04.032
Ducharme NA, Reif DM, Gustafsson JA, Bondesson M (2015) Comparison of toxicity values across zebrafish early life stages and mammalian studies: implications for chemical testing. Reprod Toxicol 55:3–10. https://doi.org/10.1016/J.REPROTOX.2014.09.005
Easter SS, Nicola GN (1996) The development of vision in the zebrafish (Danio rerio). Dev Biol 180(2):646–663. https://doi.org/10.1006/DBIO.1996.0335
US EPA (2006) 2010/15 PFOA stewardship program guidance on reporting emissions and product content. https://www.epa.gov/assessing-and-managing-chemicals-under-tsca/201015-pfoa-stewardship-program-guidance-reporting
US EPA (2022a) New chemicals program review of alternatives for PFOA and related chemicals | US EPA. https://www.epa.gov/assessing-and-managing-chemicals-under-tsca/new-chemicals-program-review-alternatives-pfoa-and. Accessed 22 Aug 2022
US EPA (2022b) Our current understanding of the human health and environmental risks of PFAS | US EPA. https://www.epa.gov/pfas/our-current-understanding-human-health-and-environmental-risks-pfas. Accessed 8 Apr 2022
US EPA (2022c) Technical fact sheet: drinking water health advisories for four PFAS (PFOA, PFOS, GenX chemicals, and PFBS) - June 2022c. https://www.epa.gov/system/files/documents/2022-06/technical-factsheet-four-PFAS.pdf
Filippi A, Mueller T, Driever W (2014) vglut2 and gad expression reveal distinct patterns of dual GABAergic versus glutamatergic cotransmitter phenotypes of dopaminergic and noradrenergic neurons in the zebrafish brain. J Comp Neurol 522(9):2019–2037. https://doi.org/10.1002/CNE.23524
Franke V, Ullberg M, Mccleaf P, Wålinder M, Köhler SJ, Ahrens L (2021) The price of really clean water: combining nanofiltration with granular activated carbon and anion exchange resins for the removal of per- and polyfluoralkyl substances (PFASs) in drinking water production. ACS ES&T Water 1(4):782–795. https://doi.org/10.1021/ACSESTWATER.0C00141
Gaballah S, Swank A, Sobus JR, Howey XM, Schmid J, Catron T, McCord J, Hines E, Strynar M, Tal T (2020) Evaluation of developmental toxicity, developmental neurotoxicity, and tissue dose in zebrafish exposed to GenX and other PFAS. Environ Health Perspect 128(4):047005. https://doi.org/10.1289/EHP5843
Galloway JE, Moreno AVP, Lindstrom AB, Strynar MJ, Newton S, May AA, May AA, Weavers LK, Weavers LK (2020) Evidence of air dispersion: HFPO-DA and PFOA in Ohio and West Virginia surface water and soil near a fluoropolymer production facility. Environ Sci Technol 54(12):7175–7184. https://doi.org/10.1021/acs.est.9b07384
Gannon SA, Fasano WJ, Mawn MP, Nabb DL, Buck RC, Buxton LW, Jepson GW, Frame SR (2016) Absorption, distribution, metabolism, excretion, and kinetics of 2,3,3,3-tetrafluoro-2-(heptafluoropropoxy)propanoic acid ammonium salt following a single dose in rat, mouse, and cynomolgus monkey. Toxicology 340:1–9. https://doi.org/10.1016/J.TOX.2015.12.006
Gauvrit S, Bossaer J, Lee J, Collins MM (2022) Modeling human cardiac arrhythmias: insights from zebrafish. J Cardiovasc Dev Dis 9(1):13. https://doi.org/10.3390/JCDD9010013
Gebreab KY, Eeza MNH, Bai T, Zuberi Z, Matysik J, O’Shea KE, Alia A, Berry JP (2020) Comparative toxicometabolomics of perfluorooctanoic acid (PFOA) and next-generation perfluoroalkyl substances. Environ Pollut 265:114928. https://doi.org/10.1016/J.ENVPOL.2020.114928
Gierten J, Pylatiuk C, Hammouda OT, Schock C, Stegmaier J, Wittbrodt J, Gehrig J, Loosli F (2020) Automated high-throughput heartbeat quantification in medaka and zebrafish embryos under physiological conditions. Sci Rep 10(1):1–12. https://doi.org/10.1038/s41598-020-58563-w
Godfrey A, Abdel-moneim A, Sepúlveda MS (2017) Acute mixture toxicity of halogenated chemicals and their next generation counterparts on zebrafish embryos. Chemosphere 181:710–712. https://doi.org/10.1016/J.CHEMOSPHERE.2017.04.146
Grandjean P, Bellinger D, Bergman Å, Cordier S, Davey-Smith G, Eskenazi B, Gee D, Gray K, Hanson M, van den Hazel P, Heindel JJ, Heinzow B, Hertz-Picciotto I, Hu H, Huang TTK, Jensen TK, Landrigan PJ, McMillen IC, Murata K, … Weihe P (2008) The Faroes statement: human health effects of developmental exposure to chemicals in our environment. Basic Clin Pharmacol Toxicol 102(2):73–75.https://doi.org/10.1111/J.1742-7843.2007.00114.X
Gu Z, Eils R, Schlesner M (2016) Complex heatmaps reveal patterns and correlations in multidimensional genomic data. Bioinformatics 32(18):2847–2849. https://doi.org/10.1093/BIOINFORMATICS/BTW313
Hagenaars A, Vergauwen L, de Coen W, Knapen D (2011) Structure–activity relationship assessment of four perfluorinated chemicals using a prolonged zebrafish early life stage test. Chemosphere 82(5):764–772. https://doi.org/10.1016/J.CHEMOSPHERE.2010.10.076
Han Y, Ma Y, Yao S, Zhang J, Hu C (2021) In vivo and in silico evaluations of survival and cardiac developmental toxicity of quinolone antibiotics in zebrafish embryos (Danio rerio). Environ Pollut 277:116779. https://doi.org/10.1016/J.ENVPOL.2021.116779
Hassell KL, Coggan TL, Cresswell T, Kolobaric A, Berry K, Crosbie ND, Blackbeard J, Pettigrove VJ, Clarke BO (2020) Dietary uptake and depuration kinetics of perfluorooctane sulfonate, perfluorooctanoic acid, and hexafluoropropylene oxide dimer acid (GenX) in a benthic fish. Environ Toxicol Chem 39(3):595–603. https://doi.org/10.1002/ETC.4640
Heijlen M, Houbrechts AM, Bagci E, van Herck SLJ, Kersseboom S, Esguerra CV, Blust R, Visser TJ, Knapen D, Darras VM (2014) Knockdown of type 3 iodothyronine deiodinase severely perturbs both embryonic and early larval development in zebrafish. Endocrinology 155(4):1547–1559. https://doi.org/10.1210/EN.2013-1660
Houbrechts AM, Vergauwen L, Bagci E, van Houcke J, Heijlen M, Kulemeka B, Hyde DR, Knapen D, Darras VM (2016) Deiodinase knockdown affects zebrafish eye development at the level of gene expression, morphology and function. Mol Cell Endocrinol 424:81–93. https://doi.org/10.1016/J.MCE.2016.01.018
Howe K, Clark MD, Torroja CF, Torrance J, Berthelot C, Muffato M, Collins JE, Humphray S, McLaren K, Matthews L, McLaren S, Sealy I, Caccamo M, Churcher C, Scott C, Barrett JC, Koch R, Rauch GJ, White S, … Stemple DL (2013) The zebrafish reference genome sequence and its relationship to the human genome. Nature 496(7446):498–503. https://doi.org/10.1038/nature12111
Hu XC, Andrews DQ, Lindstrom AB, Bruton TA, Schaider LA, Grandjean P, Lohmann R, Carignan CC, Blum A, Balan SA, Higgins CP, Sunderland EM (2016) Detection of poly- and perfluoroalkyl substances (PFASs) in U.S. drinking water linked to industrial sites, military fire training areas, and wastewater treatment plants. Environ Sci Technol Lett 3(10):344–350. https://doi.org/10.1021/acs.estlett.6b00260
Huang H, Huang C, Wang L, Ye X, Bai C, Simonich MT, Tanguay RL, Dong Q (2010) Toxicity, uptake kinetics and behavior assessment in zebrafish embryos following exposure to perfluorooctanesulphonicacid (PFOS). Aquat Toxicol 98(2):139–147. https://doi.org/10.1016/J.AQUATOX.2010.02.003
Hughes DC, Baehr LM, Driscoll JR, Lynch SA, Waddell DS, Bodine SC (2020) Identification and characterization of Fbxl22, a novel skeletal muscle atrophy-promoting E3 ubiquitin ligase. Am J Phys Cell Physiol 319(4):C700–C719. https://doi.org/10.1152/ajpcell.00253.2020
Institute of Laboratory Animal Resources (US). Committee on Care, and Use of Laboratory Animals. (1986). Guide for the care and use of laboratory animals (No. 86). US Department of Health and Human Services, Public Health Service, National Institutes of Health. https://www.nationalacademies.org/ilar/institute-for-laboratory-animal-research
Jantzen CE, Annunziato KA, Bugel SM, Cooper KR (2016) PFOS, PFNA, and PFOA sub-lethal exposure to embryonic zebrafish have different toxicity profiles in terms of morphometrics, behavior and gene expression. Aquat Toxicol 175:160–170. https://doi.org/10.1016/J.AQUATOX.2016.03.026
Joerss H, Apel C, Ebinghaus R (2019) Emerging per- and polyfluoroalkyl substances (PFASs) in surface water and sediment of the North and Baltic Seas. Sci Total Environ 686:360–369. https://doi.org/10.1016/J.SCITOTENV.2019.05.363
Joerss H, Xie Z, Wagner CC, von Appen WJ, Sunderland EM, Ebinghaus R (2020) Transport of legacy perfluoroalkyl substances and the replacement compound HFPO-DA through the Atlantic gateway to the Arctic Ocean – is the Arctic a sink or a source? Environ Sci Technol 54(16):9958–9967. https://doi.org/10.1021/acs.est.0c00228
Kakade A, Salama ES, Pengya F, Liu P, Li X (2020) Long-term exposure of high concentration heavy metals induced toxicity, fatality, and gut microbial dysbiosis in common carp. Cyprinus Carpio Environmental Pollution 266:115293. https://doi.org/10.1016/J.ENVPOL.2020.115293
Kassambara A (2019) fastqcr: quality control of sequencing data. R package version 0.1.2. https://CRAN.R-project.org/package=fastqcr. Accessed 7 Dec 2021
Kimmel CB, Ballard WW, Kimmel SR, Ullmann B, Schilling TF (1995) Stages of embryonic development of the zebrafish. Dev Dyn 203(3):253–310. https://doi.org/10.1002/AJA.1002030302
Kinaret PAS, Serra A, Federico A, Kohonen P, Nymark P, Liampa I, Ha MK, Choi JS, Jagiello K, Sanabria N, Melagraki G, Cattelani L, Fratello M, Sarimveis H, Afantitis A, Yoon TH, Gulumian M, Grafström R, Puzyn T, Greco D (2020) Transcriptomics in toxicogenomics, part i: experimental design, technologies, publicly available data, and regulatory aspects. Nanomaterials 10(4):750. https://doi.org/10.3390/NANO10040750
Kopylova E, Noé L, Touzet H (2012) SortMeRNA: fast and accurate filtering of ribosomal RNAs in metatranscriptomic data. Bioinformatics 28(24):3211–3217. https://doi.org/10.1093/BIOINFORMATICS/BTS611
Kuhota T, McTiernan CF, Frye CS, Slawson SE, Lemster BH, Koretsky AP, Demetris AJ, Feldman AM (1997) Dilated cardiomyopathy in transgenic mice with cardiac-specific overexpression of tumor necrosis factor-α. Circ Res 81(4):627–635. https://doi.org/10.1161/01.RES.81.4.627
Kurrasch DM, Nevin LM, Wong JS, Baier H, Ingraham HA (2009) Neuroendocrine transcriptional programs adapt dynamically to the supply and demand for neuropeptides as revealed in NSF mutant zebrafish. Neural Dev 4(1):1–17. https://doi.org/10.1186/1749-8104-4-22
Lagman D, Callado-Pérez A, Franzén IE, Larhammar D, Abalo XM (2015) Transducin duplicates in the zebrafish retina and pineal complex: differential specialisation after the teleost tetraploidisation. PLoS ONE 10(3):e0121330. https://doi.org/10.1371/JOURNAL.PONE.0121330
Lee JS, Morita Y, Kawai YK, Covaci A, Kubota A (2020) Developmental circulatory failure caused by metabolites of organophosphorus flame retardants in zebrafish. Danio Rerio Chemosphere 246:125738. https://doi.org/10.1016/J.CHEMOSPHERE.2019.125738
Lewis RC, Johns LE, Meeker JD (2015) Serum biomarkers of exposure to perfluoroalkyl substances in relation to serum testosterone and measures of thyroid function among adults and adolescents from NHANES 2011–2012. Int J Environ Res Public Health 12(6):6098–6114. https://doi.org/10.3390/IJERPH120606098
Li B, Dewey CN (2011) RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome. BMC Bioinformatics 12(1):1–16. https://doi.org/10.1186/1471-2105-12-323
Li ZH, Xu H, Zheng W, Lam SH, Gong Z (2013) RNA-sequencing analysis of TCDD-induced responses in zebrafish liver reveals high relatedness to in vivo mammalian models and conserved biological pathways. PLoS ONE 8(10):e77292. https://doi.org/10.1371/JOURNAL.PONE.0077292
Li K, Sun J, Yang J, Roberts SM, Zhang X, Cui X, Wei S, Ma LQ (2017) Molecular mechanisms of perfluorooctanoate-induced hepatocyte apoptosis in mice using proteomic techniques. Environ Sci Technol 51(19):11380–11389. https://doi.org/10.1021/acs.est.7b02690
Liberatore HK, Jackson SR, Strynar MJ, Mccord JP (2020) Solvent suitability for HFPO-DA (“GenX” parent acid) in toxicological studies. Environ Sci Technol Lett 7(7):477–481. https://doi.org/10.1021/acs.estlett.0c00323
Lieschke GJ, Currie PD (2007) Animal models of human disease: zebrafish swim into view. Nat Rev Gen 8(5):353–367. https://doi.org/10.1038/nrg2091
Liu H, Chu T, Chen L, Gui W, Zhu G (2017) In vivo cardiovascular toxicity induced by acetochlor in zebrafish larvae. Chemosphere 181:600–608. https://doi.org/10.1016/J.CHEMOSPHERE.2017.04.090
Maechler M, Rousseeuw P, Struyf A, Hubert M, Hornik K (2022) cluster: cluster analysis basics and extensions. R Package Version 2(1):3
Maeda H, Hasumi A, Yoshida K, ichi. (2021) Caffeine-induced bradycardia, death, and anxiety-like behavior in zebrafish larvae. Forensic Toxicol 39(2):427–436. https://doi.org/10.1007/s11419-021-00577-8
Maere S, Heymans K, Kuiper M (2005) BiNGO: a cytoscape plugin to assess overrepresentation of gene ontology categories in biological networks. Bioinformatics 21(16):3448–3449. https://doi.org/10.1093/BIOINFORMATICS/BTI551
Maier T, Güell M, Serrano L (2009) Correlation of mRNA and protein in complex biological samples. FEBS Lett 583(24):3966–3973. https://doi.org/10.1016/J.FEBSLET.2009.10.036
Martínez R, Navarro-Martín L, Luccarelli C, Codina AE, Raldúa D, Barata C, Tauler R, Piña B (2019) Unravelling the mechanisms of PFOS toxicity by combining morphological and transcriptomic analyses in zebrafish embryos. Sci Total Environ 674:462–471. https://doi.org/10.1016/J.SCITOTENV.2019.04.200
McCurley AT, Callard GV (2008) Characterization of housekeeping genes in zebrafish: male-female differences and effects of tissue type, developmental stage and chemical treatment. BMC Mol Biol 9(1):1–12. https://doi.org/10.1186/1471-2199-9-102
Milan DJ, Peterson TA, Ruskin JN, Peterson RT, MacRae CA (2003) Drugs that induce repolarization abnormalities cause bradycardia in zebrafish. Circulation 107(10):1355–1358. https://doi.org/10.1161/01.CIR.0000061912.88753.87
Miller S, Pollack J, Bradshaw J, Kumai Y, Perry SF (2014) Cardiac responses to hypercapnia in larval zebrafish (Danio rerio): the links between CO2 chemoreception, catecholamines and carbonic anhydrase. J Exp Biol 217(19):3569–3578. https://doi.org/10.1242/jeb.107987
Mylroie JE, Wilbanks MS, Kimble AN, To KT, Cox CS, McLeod SJ, Gust KA, Moore DW, Perkins EJ, Garcia-Reyero N (2021) Perfluorooctanesulfonic acid–induced toxicity on zebrafish embryos in the presence or absence of the chorion. Environ Toxicol Chem 40(3):780–791. https://doi.org/10.1002/ETC.4899
Nemtsas P, Wettwer E, Christ T, Weidinger G, Ravens U (2010) Adult zebrafish heart as a model for human heart? An electrophysiological study. J Mol Cell Cardiol 48(1):161–171. https://doi.org/10.1016/J.YJMCC.2009.08.034
Nixon WB, and Lezotte FJ(2008) Determination of the water solubility and vapor pressure of H-28307. https://hero.epa.gov/hero/index.cfm/reference/details/reference_id/4353934
O’Connor MJ, Beebe LL, Deodato D, Ball RE, Page AT, Vanleuven AJ, Harris KT, Park S, Hariharan V, Lauderdale JD, Dore TM (2019) Bypassing glutamic acid decarboxylase 1 (Gad1) induced craniofacial defects with a photoactivatable translation blocker morpholino. ACS Chem Neurosci 10(1):266–278. https://doi.org/10.1021/acschemneuro.8b00231
OECD (2013) Test no. 236: fish embryo acute toxicity (FET) test. https://doi.org/10.1787/9789264203709-EN
OECD (2020) Environment directorate joint meeting of the chemicals committee and the working party on chemicals, pesticides and biotechnology, ANNEX II: in vitro models – detailed description of methods and generated data within case study on the use of integrated approaches to testing and assessment forread-across based filling of developmental toxicity data gap for methyl hexanoic acid. https://www.oecd.org/officialdocuments/publicdisplaydocumentpdf/?cote=ENV/JM/MONO(2020)21/ann2&docLanguage=en
Olsen GW, Burris JM, Ehresman DJ, Froelich JW, Seacat AM, Butenhoff JL, Zobel LR (2007) Half-life of serum elimination of perfluorooctanesulfonate, perfluorohexanesulfonate, and perfluorooctanoate in retired fluorochemical production workers. Environ Health Perspect 115(9):1298–1305. https://doi.org/10.1289/EHP.10009
Pennings JLA, Jennen DGJ, Nygaard UC, Namork E, Haug LS, van Loveren H, Granum B (2016) Cord blood gene expression supports that prenatal exposure to perfluoroalkyl substances causes depressed immune functionality in early childhood. J Immunotoxicol 13(2):173–180. https://doi.org/10.3109/1547691X.2015.1029147
Peterson RT, Link BA, Dowling JE, Schreiber SL (2000) Small molecule developmental screens reveal the logic and timing of vertebrate development. Proc Natl Acad Sci 97(24):12965–12969. https://doi.org/10.1073/PNAS.97.24.12965
Putri GH, Anders S, Pyl PT, Pimanda JE, Zanini F (2022) Analysing high-throughput sequencing data in Python with HTSeq 2.0. Bioinformatics 38(10):2943–2945. https://doi.org/10.1093/BIOINFORMATICS/BTAC166
Qian F, Zhen F, Ong C, Jin SW, Soo HM, Stainier DYR, Lin S, Peng J, Wen Z (2005) Microarray analysis of zebrafish cloche mutant using amplified cDNA and identification of potential downstream target genes. Dev Dyn 233(3):1163–1172. https://doi.org/10.1002/DVDY.20444
Rericha Y, Cao D, Truong L, Simonich M, Field JA, Tanguay RL (2021) Behavior effects of structurally diverse per- and polyfluoroalkyl substances in zebrafish. Chem Res Toxicol 34(6):1409–1416. https://doi.org/10.1021/acs.chemrestox.1c00101
Robinson MD, Oshlack A (2010) A scaling normalization method for differential expression analysis of RNA-seq data. Genome Biol 11(3):1–9. https://doi.org/10.1186/gb-2010-11-3-r25
Salimi A, Nikoosiar Jahromi M, Pourahmad J (2019) Maternal exposure causes mitochondrial dysfunction in brain, liver, and heart of mouse fetus: an explanation for perfluorooctanoic acid induced abortion and developmental toxicity. Environ Toxicol 34(7):878–885. https://doi.org/10.1002/TOX.22760
Sampurna BP, Santoso F, Lee JH, Yu WH, Wu CC, Audira G, Juniard S, Chen JR, Lin YT, der Hsiao C (2019) Cardiac rhythm and molecular docking studies of ion channel ligands with cardiotoxicity in zebrafish. Cells 8(6):566. https://doi.org/10.3390/CELLS8060566
Satbhai K, Vogs C, Crago J (2022) Comparative toxicokinetics and toxicity of PFOA and its replacement GenX in the early stages of zebrafish. Chemosphere 308:136131. https://doi.org/10.1016/J.CHEMOSPHERE.2022.136131
Serra A, Fratello M, Cattelani L, Liampa I, Melagraki G, Kohonen P, Nymark P, Federico A, Kinaret PAS, Jagiello K, Ha MK, Choi JS, Sanabria N, Gulumian M, Puzyn T, Yoon TH, Sarimveis H, Grafström R, Afantitis A, Greco D (2020) Transcriptomics in toxicogenomics, part III: data modelling for risk assessment. Nanomaterials 10(4):708. https://doi.org/10.3390/NANO10040708
Shearer JJ, Callahan CL, Calafat AM, Huang WY, Jones RR, Sabbisetti VS, Freedman ND, Sampson JN, Silverman DT, Purdue MP, Hofmann JN (2021) Serum concentrations of per- and polyfluoroalkyl substances and risk of renal cell carcinoma. JNCI: J Natl Cancer Inst 113(5):580–587. https://doi.org/10.1093/JNCI/DJAA143
Shi G, Cui Q, Wang J, Guo H, Pan Y, Sheng N, Guo Y, Dai J (2019) Chronic exposure to 6:2 chlorinated polyfluorinated ether sulfonate acid (F-53B) induced hepatotoxic effects in adult zebrafish and disrupted the PPAR signaling pathway in their offspring. Environ Pollut 249:550–559. https://doi.org/10.1016/J.ENVPOL.2019.03.032
Sholder G, Lanz TA, Moccia R, Quan J, Aparicio-Prat E, Stanton R, Xi HS (2020) 3’Pool-seq: an optimized cost-efficient and scalable method of whole-transcriptome gene expression profiling. BMC Genomics 21(1):1–11. https://doi.org/10.1186/s12864-020-6478-3
Smith T, Heger A, Sudbery I (2017) UMI-tools: modelling sequencing errors in unique molecular identifiers to improve quantification accuracy. Genome Res 27(3):gr.209601.116. https://doi.org/10.1101/GR.209601.116
Søndergaard MT, Sorensen AB, Skov LL, Kjaer-Sorensen K, Bauer MC, Nyegaard M, Linse S, Oxvig C, Overgaard MT (2015) Calmodulin mutations causing catecholaminergic polymorphic ventricular tachycardia confer opposing functional and biophysical molecular changes. FEBS J 282(4):803–816. https://doi.org/10.1111/FEBS.13184
Spaich S, Will RD, Just S, Spaich S, Kuhn C, Frank D, Berger IM, Wiemann S, Korn B, Koegl M, Backs J, Katus HA, Rottbauer W, Frey N (2012) F-box and leucine-rich repeat protein 22 is a cardiac-enriched f-box protein that regulates sarcomeric protein turnover and is essential for maintenance of contractile function in vivo. Circ Res 111(12):1504–1516. https://doi.org/10.1161/CIRCRESAHA.112.271007
Sun M, Arevalo E, Strynar M, Lindstrom A, Richardson M, Kearns B, Pickett A, Smith C, Knappe DRU (2016) Legacy and emerging perfluoroalkyl substances are important drinking water contaminants in the Cape Fear River Watershed of North Carolina. Environ Sci Technol Lett 3(12):415–419. https://doi.org/10.1021/acs.estlett.6b00398
Takeuchi M, Yamaguchi S, Sakakibara Y, Hayashi T, Matsuda K, Hara Y, Tanegashima C, Shimizu T, Kuraku S, Hibi M (2017) Gene expression profiling of granule cells and Purkinje cells in the zebrafish cerebellum. Journal of Comparative Neurology 525(7):1558–1585. https://doi.org/10.1002/CNE.24114
Tang R, Dodd A, Lai D, McNabb WC, Love DR (2007) Validation of zebrafish (Danio rerio) reference genes for quantitative real-time RT-PCR normalization. Acta Biochim Biophys Sin 39(5):384–390. https://doi.org/10.1111/J.1745-7270.2007.00283.X
Tarazona S, Furió-Tarí P, Turrà D, di Pietro A, Nueda MJ, Ferrer A, Conesa A (2015) Data quality aware analysis of differential expression in RNA-seq with NOISeq R/Bioc package. Nucleic Acids Research 43(21):gkv711. https://doi.org/10.1093/NAR/GKV711
Tennekes HA, Sánchez-Bayo F (2013) The molecular basis of simple relationships between exposure concentration and toxic effects with time. Toxicology 309:39–51. https://doi.org/10.1016/J.TOX.2013.04.007
Ton QV, Leino D, Mowery SA, Bredemeier NO, Lafontant PJ, Lubert A, Gurung S, Farlow JL, Foroud T M, Broderick J, and Sumanas S (2018) Collagen COL22A1 maintains vascular stability and mutations in COL22A1 are potentially associated with intracranial aneurysms. DMM Dis Models Mech 11(12). https://doi.org/10.1242/DMM.033654/3056
Tsujikawa M, Malicki J (2004) Genetics of photoreceptor development and function in zebrafish. Int J Dev Biol 48(8–9):925–934. https://doi.org/10.1387/IJDB.041890MT
US CDC. (2012) NHANES 2011–2012 overview. https://wwwn.cdc.gov/nchs/nhanes/continuousnhanes/overview.aspx?BeginYear=2011. Accessed 8 Apr 2022
US EPA (2021a) Draft method 1633 analysis of per- and polyfluoroalkyl substances (PFAS) in aqueous, solid, biosolids, and tissue samples by LC-MS/MS; DRAFT. https://www.epa.gov/system/files/documents/2021-09/method_1633_draft_aug-2021.pdf. Accessed 8 Apr 2022
US EPA (2021b) Human health toxicity values for hexafluoropropylene oxide dimer acid and its ammonium salt (CASRN 13252–13–6 and CASRN 62037–80–3), also known as “GenX chemicals.” https://www.epa.gov/system/files/documents/2021-10/genx-chemicals-toxicity-assessment_tech-edited_oct-21-508.pdf
Veith GD, DeFoe DL, and Bergstedt BV (2011) Measuring and estimating the bioconcentration factor of chemicals in fish. 36(9):1040–1048. https://doi.org/10.1139/F79-146
Vieira VM, Hoffman K, Shin HM, Weinberg JM, Webster TF, Fletcher T (2013) Perfluorooctanoic acid exposure and cancer outcomes in a contaminated community: a geographic analysis. Environ Health Perspect 121(3):318–323. https://doi.org/10.1289/EHP.1205829
von Hellfeld R, Brotzmann K, Baumann L, Strecker R, Braunbeck T (2020) Adverse effects in the fish embryo acute toxicity (FET) test: a catalogue of unspecific morphological changes versus more specific effects in zebrafish (Danio rerio) embryos. Environ Sci Eur 32(1):1–18. https://doi.org/10.1186/s12302-020-00398-3
Walter W, Sánchez-Cabo F, Ricote M (2015) GOplot: an R package for visually combining expression data with functional analysis. Bioinformatics 31(17):2912–2914. https://doi.org/10.1093/BIOINFORMATICS/BTV300
Wasel O, Thompson KM, Gao Y, Godfrey AE, Gao J, Mahapatra CT, Lee LS, Sepúlveda MS, Freeman JL (2020) Comparison of zebrafish in vitro and in vivo developmental toxicity assessments of perfluoroalkyl acids (PFAAs). J Toxicol Environ Health A 84(3):125–136. https://doi.org/10.1080/15287394.2020.1842272
Williams SY, Renquist BJ (2016) High throughput danio rerio energy expenditure assay. J Visualized Exp : Jove 2016(107):53297. https://doi.org/10.3791/53297
Williams CR, Baccarella A, Parrish JZ, Kim CC (2016) Trimming of sequence reads alters RNA-Seq gene expression estimates. BMC Bioinformatics 17(1):1–13. https://doi.org/10.1186/s12859-016-0956-2
Woods IG, Lyons DA, Voas MG, Pogoda HM, Talbot WS (2006) nsf is essential for organization of myelinated axons in zebrafish. Curr Biol 16(7):636–648. https://doi.org/10.1016/J.CUB.2006.02.067
Xin Y, Ren XM, Wan B, Guo LH (2019) Comparative in vitro and in vivo evaluation of the estrogenic effect of hexafluoropropylene oxide homologues. Environ Sci Technol 53(14):8371–8380. https://doi.org/10.1021/acs.est.9b01579
Xu H, Li C, Zeng Q, Agrawal I, Zhu X, Gong Z (2016) Genome-wide identification of suitable zebrafish Danio rerio reference genes for normalization of gene expression data by RT-qPCR. J Fish Biol 88(6):2095–2110. https://doi.org/10.1111/JFB.12915
Yang H, Zhou Y, Gu J, Xie S, Xu Y, Zhu G, Wang L, Huang J, Ma H, Yao J (2013) Deep mRNA sequencing analysis to capture the transcriptome landscape of zebrafish embryos and larvae. PLoS ONE 8(5):e64058. https://doi.org/10.1371/JOURNAL.PONE.0064058
Yang LH, Yang WJ, Lv SH, Zhu TT, Adeel Sharif HM, Yang C, Du J, Lin H (2022) Is HFPO-DA (GenX) a suitable substitute for PFOA? A comprehensive degradation comparison of PFOA and GenX via electrooxidation. Environ Res 204:111995. https://doi.org/10.1016/J.ENVRES.2021.111995
Ye J, Coulouris G, Zaretskaya I, Cutcutache I, Rozen S, Madden TL (2012) Primer-BLAST: a tool to design target-specific primers for polymerase chain reaction. BMC Bioinformatics 13(1):134. https://doi.org/10.1186/1471-2105-13-134
Ye C, Ho DJ, Neri M, Yang C, Kulkarni T, Randhawa R, Henault M, Mostacci N, Farmer P, Renner S, Ihry R, Mansur L, Keller CG, McAllister G, Hild M, Jenkins J, Kaykas A (2018) DRUG-seq for miniaturized high-throughput transcriptome profiling in drug discovery. Nat Commun 9(1):1–9. https://doi.org/10.1038/s41467-018-06500-x
Yu M, Feng Y, Zhang X, Wang J, Tian H, Wang W, Ru S (2017) Semicarbazide disturbs the reproductive system of male zebrafish (Danio rerio) through the GABAergic system. Reprod Toxicol 73:149–157. https://doi.org/10.1016/J.REPROTOX.2017.08.007
Our thanks to Neya Suresh Kumar, Katie O’Connell, Savannah Scott, and Salem Yohannes for assistance with zebrafish husbandry and data collection, and to Dr. Matthew Verbyla (Department of Civil, Construction, and Environmental Engineering, San Diego State University), Dr. Karilyn E. Sant (School of Public Health, San Diego State University), Lindsey Griffin, and Armando Vazquez for critically reviewing this manuscript.
This study is supported by the University of California San Diego, Division of Extended Studies, in partnership with the Inamori Foundation and Girard Foundation as part of the development and implementation of the “Futures” Life Sciences student research immersion program at the Boz Life Science Research and Teaching Institute. The funding bodies played no role in the study design, nor the collection, analysis, and interpretation of data, nor in writing the manuscript.
Ethics approval and consent to participate
Experimental procedures, including non-surgical tissue sampling and fish embryo culturing and maintenance, were approved by the San Diego State University Institutional Animal Care and Use Committee (Animal Welfare Assurance Number A3728-01).
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The authors declare no competing interests. DS is under contract to provide technical services to Chemours who manufactures HFPO-DA. Chemours had no role in the study design, nor the collection, analysis, and interpretation of data, nor in writing the manuscript.
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Gong, S., McLamb, F., Shea, D. et al. Toxicity assessment of hexafluoropropylene oxide-dimer acid on morphology, heart physiology, and gene expression during zebrafish (Danio rerio) development. Environ Sci Pollut Res 30, 32320–32336 (2023). https://doi.org/10.1007/s11356-022-24542-z
- Danio rerio
- Gene expression
- RNA sequencing