Abstract
Abnormal cardiac valve development may lead to functional impairment in adulthood. BMPR2, a highly conserved receptor of the BMP family, exists in two subtypes (bmpr2a and bmpr2b) in zebrafish. However, the roles of bmpr2a and bmpr2b in valve development remain unclear. In this study, we generated three bmpr2a/b mutant zebrafish strains, namely, bmpr2a- and bmpr2b-knockout zebrafish (bmpr2a −/− and bmpr2b −/− , respectively) using CRISPR/Cas9 and bmpr2a and bmpr2b double-knockout zebrafish (bmpr2a −/− ;bmpr2b −/− ) according to bmpr2a −/− and bmpr2b −/− hybridization. Using cardiac function assessment (M-mode), we characterized the cardiac developmental phenotypes of the three zebrafish mutant strains. Transcriptomic profiling (RNA-seq) was combined with whole-mount in situ hybridization (WISH) and qRT-PCR to validate gene-expression changes. The results indicated that bmpr2a −/− , bmpr2b −/− , and bmpr2a −/− ;bmpr2b −/− mutant zebrafish strains exhibited valve developmental defects at 52 hours post-fertilization (hpf), followed by cardiac contractile dysfunction. RNA-seq revealed upregulation of cardiac markers (myl9a, myl9b, tnnc1a, cmlc1, myl7, and nppa) and valve-related genes (fn1b, has2, and nfatc1), along with the downregulation of klf2a, as validated by WISH and qRT-PCR. Pathway analysis identified the ECM-receptor interaction as a key regulatory axis of bmpr2a/b-mediated valve development. In this study, we demonstrate that bmpr2a and bmpr2b cooperatively regulate cardiac contractile function and valve development in zebrafish, providing insights into BMPR2-mediated cardiovascular morphogenesis in humans.
Keywords: bmpr2a, bmpr2b, ECM–receptor interaction, mutant zebrafish, valve development
1. Introduction
The cardiac valve is a critical structure that ensures unidirectional blood flow and efficient pumping of the heart. Embryonic developmental abnormalities of the cardiac valve often lead to a high incidence of valve disease in adulthood (O'Donnell and Yutzey, 2020). Valve diseases are essentially the “time-delayed effects” of developmental abnormalities. Genetic defects in embryos, signaling imbalances, and hemodynamic abnormalities in adulthood can lead to diseases triggered by mechanical stress, inflammation, or other factors. For example, in a mouse model with Alk3 deficiency (Lockhart et al., 2014), there was a significant decrease in epicardium-derived cell migration to the mitral valve’s left leaflet, leading to a 16% increase in the volume of the left leaflet during development. This developmental defect results in thickened and elongated valve leaflets and mucoid degeneration during adulthood. Elucidating the intricate relationship between valvular development and disease pathogenesis may enable the development of innovative therapeutic strategies, including early preventive interventions, gene therapy, and mechanical regulation.
Cardiac valve development initiates with the endothelial-to-mesenchymal transition (EndMT) of the endocardial cushions during the embryonic stage, a process regulated by a complex signaling network (Kovacic et al., 2012). EndMT activation is typically triggered by external signals, particularly those mediated by the transforming growth factor-β (TGF-β) superfamily pathway (Bischoff, 2019; Tang et al., 2022). The TGF-β superfamily constitutes a complex pathway comprising more than 30 ligands and receptor molecules, including bone morphogenetic proteins (BMPs). Among BMPs, BMP2 and BMP4 serve as the primary ligands during valve development, binding to the type I receptor Alk3 (BMPR1A) and type II receptor (bone morphogenetic protein receptor type 2; BMPR2) to form a tetrameric complex at the cell membrane. Upon ligand–receptor binding, SMAD1/5/8 undergoes phosphorylation, forming a complex with SMAD4 that translocates into the nucleus to regulate target gene expression. This cascade induces transcription factors such as Twist1, Msx1/2, and Snail, thereby promoting EndMT progression. Notably, myocardial-derived Bmp2 and endocardial endothelial-derived BMP type 1A receptor (Bmpr1a) are indispensable for generating endocardial cushion cells expressing mesenchymal markers, Twist1, Msx1/2, and Snail (O'Donnell and Yutzey, 2020). During atrioventricular (AV) cushion development, myocardium-secreted Bmp2 promotes Has2 expression to synthesize cardiac jelly, which is a critical substrate for EndMT initiation (Camenisch et al., 2000). Bmp4 similarly regulates EndMT in both the AV and outflow tract (OFT) cushions during heart development. Heterozygous Bmp4 knockout mice have reduced AV cushion size, whereas cardiomyocyte-specific Bmp4 deletion impairs semilunar endocardial cushion expansion because of insufficient cell numbers (Jiao et al., 2003; McCulley et al., 2008).
BMPR2, a type II receptor for BMP ligands, harbors functionally deficient mutations in clinical samples of pulmonary arterial hypertension (PAH). Genetic analysis revealed the presence of BMPR2 variants in 10%–40% of sporadic cases and 58%–74% of familial cases (Pfarr et al., 2011). Mouse models have recapitulated the pathology of PAH. For example, pulmonary endothelial-specific BMPR2 deletion induces characteristic PAH features (Hong et al., 2008), and dominant-negative BMPR2 expression in pulmonary smooth muscle cells elicits similar phenotypes (West et al., 2004; West et al., 2008). Notably, Bmpr2 +/− mice (not expressing mutant protein) developed severe hypoxia-induced pulmonary hypertension (PH) compared to Bmpr2 ΔEx2/+ mice (expressing mutant protein with impaired T495 phosphorylation of eNOS) (Frump et al., 2016). While BMPR2 mutations are well-characterized in PAH, their impact on valve developmental defects remains underexplored. Studies on Bmpr2 knockout mice have shown that homozygous mutants exhibit perinatal lethality, whereas the heterozygote mutants exhibit AV cushion abnormalities, which lead to atrial septal defects, membranous ventricular septal defects, thickened valve leaflets, and aortic malpositioning—all without myocardial developmental defects (Beppu et al., 2009). However, the molecular mechanisms linking BMPR2 to valve development are unclear.
Zebrafish are a powerful model for studying congenital heart diseases, including valve disease, because of their transparent embryonic and genetic characteristics (Yang et al., 2024). The zebrafish BMP II receptor family comprises two homologous genes, namely, bmpr2a and bmpr2b, which encode Bmpr2a and Bmpr2b proteins with 50% and 66% sequence identity to human BMPR2, respectively (Monteiro et al., 2008). Both proteins contain conserved structural domains, an ActRI/ActRII ligand-binding domain, a single transmembrane domain, a kinase domain for type I receptor phosphorylation, and a ∼500-amino acid carboxy-terminal tail (Monteiro et al., 2008). Expression profiling revealed that bmpr2a and bmpr2b are ubiquitously expressed from the 1-cell stage to the 12-somite stage. Thereafter, bmpr2a maintains ubiquitous expression, whereas bmpr2b becomes enriched in the anterior–posterior axial regions. By the 23-somite stage, both genes are strongly expressed in the anterior head and tail regions, with bmpr2b showing robust expression in the proctodeum. Morpholino-based knockdown of bmpr2a or bmpr2b disrupts left–right asymmetry during cardiac development (Monteiro et al., 2008).
Genetic studies have shown that the loss of bmpr2a (bmpr2a −/− ) affects gametogenesis in male zebrafish, resulting in abundant spermatogonia but limited meiosis (Zhang et al., 2020). In contrast, the loss of bmpr2b (bmpr2b −/− ) had no effect on male zebrafish, while bmpr2b −/− female zebrafish showed severe reproductive defects with much smaller follicles than those of the control ovaries (Zhang et al., 2020). Despite these findings, the molecular mechanisms by which bmpr2a and bmpr2b regulate cardiac myocyte differentiation, valve development, and cardiac contractile function remain uncharacterized in zebrafish.
In this study, we first utilized CRISPR/Cas9 genome technology to generate bmpr2a and bmpr2b knockout zebrafish, and crossbreeding female bmpr2a −/− with male bmpr2b −/− yielded double-heterozygous progeny (bmpr2a+/−;bmpr2b+/− ), whose self-crossing showed embryonic lethality in bmpr2a −/−;bmpr2b −/− double homozygotes. Phenotypic characterization of single- and double-knockout zebrafish strains revealed developmental abnormalities in cardiac contractile function and valve development. Transcriptomic and functional analyses have identified extracellular matrix (ECM)–receptor interaction signaling as a critical pathway through which bmpr2a and bmpr2b regulate valve development.
2. Materials and methods
2.1. Zebrafish lines
The AB strain of wild-type zebrafish was purchased from the Institute of Hydrobiology, Chinese Academy of Sciences, and raised in a standardized zebrafish breeding facility (Beijing Aisheng Technology Development Co., Ltd.) at Hunan Normal University. The animal experimental protocol was approved by the Institutional Ethics Committee of the Guangdong Academy of Medical Sciences (KY2024-847-01) and was performed in accordance with the relevant guidelines and regulations.
The CRISPR/Cas9 gene-editing system was used to generate zebrafish bmpr2a and bmpr2b knockout. Exons 8 and 9 of the bmpr2a and bmpr2b genes were selected as potential target sites, and the website http://crispor.tefor.net/crispor.py was utilized to design Guide RNA. The Guide RNA sequence was then linked to the pUC57 sgRNA backbone plasmid through homologous recombination, yielding pUC57-bmpr2a-sgRNA1 and pUC57-bmpr2a-sgRNA2, along with pUC57-bmpr2b-sgRNA1 and pUC57-bmpr2b-sgRNA2, respectively. The Guide RNAs are listed in Supplementary Table S1. Guide RNA was amplified in vitro and subjected to in vitro transcription experiments (Riboprobe® System-T7 Translation Kit (Promega, P1440) to produce sgRNA. The sgRNA (20 ng/μL) was mixed with Cas9 protein (TrueCut Cas9 v2, Thermo Fisher Scientific, A36499, 300 ng/μL) and injected into zebrafish at the one-cell phase. The positively knocked-out zebrafish were screened in the F0 generation and sequenced to verify the knockout. F1 were obtained from F0 zebrafish mated with wild-type (WT) zebrafish, and F1 were partially sequenced to verify the knockout strain. The sequence and genotype primers are listed in Supplementary Table S2. bmpr2a and bmpr2b double knockout zebrafish were hybridized using bmpr2a and bmpr2b knockouts and identified simultaneously using bmpr2a and bmpr2b primers. In this study, we used four main genotypes, namely, the WT (bmpr2a +/+ ;bmpr2b +/+ ), bmpr2a homozygotes (bmpr2a −/− ;bmpr2b +/+ ), bmpr2b homozygotes (bmpr2a +/+ ;bmpr2b −/− ), and double homozygotes (bmpr2a −/− ;bmpr2b −/− ), which were obtained from the self-crossing of double heterozygotes (bmpr2a +/−;bmpr2b +/− ).
2.2. Quantitative real-time polymerase chain reaction
Quantitative real-time polymerase chain reaction (qRT-PCR) was performed as previously described (Shi et al., 2019). For qRT-PCR analysis of whole embryos, genotyping was conducted using tail biopsies from 48 hours post-fertilization (hpf) zebrafish embryos, while the remaining embryonic tissues were immediately stored at −80 °C for subsequent RNA extraction (each group contained six zebrafish embryos). For qRT-PCR analysis of the heart tissues, intact heart tissues (including the outflow tract and inflow tract) were microdissected from 48 hpf zebrafish embryos. The residual tissues were retained for genotyping, and a minimum of 20 heart tissues were collected from each experimental group.
Following genotyping, samples from the same genotype were grouped, and total RNA was extracted using TRIzol (Invitrogen). The cDNA library was then synthesized according to the manufacturer’s instructions (TransScript® One-Step gDNA Removal and cDNA Synthesis SuperMix, AT311-03). Finally, qRT-PCR was performed under standard PCR conditions using SYBR Green PCR Master Mix (TaKaRa). All gene expression levels were standardized to GAPDH expression and analyzed using the 2−ΔΔCT Livak method. Each genotype was represented by at least three independent biological replicates. All qRT-PCR primers are listed in Supplementary Table S2.
2.3. RNA-seq
The samples were prepared according to the qRT-PCR analysis method for whole embryos. After sample preparation, they were transported to Majorbio for total RNA extraction, cDNA library construction, and RNA-seq analysis. All data analyses were performed on the Majorbio Cloud platform (www.Majorbio.com). Differentially expressed genes (DEGs) were identified using screening criteria with a significance threshold of |log2FC| >2.0 and p < 0.05. The original data were submitted to the NCBI Sequence Read Archive (SRA) database (SRA number: PRJNA1336002).
2.4. RNA probe synthesis and whole-embryo in situ hybridization
Reverse transcription-PCR was used to amplify the mRNA sequence of the gene for probe preparation, and the reverse primers were added to the T7 promoter sequences. Digoxigenin-labeled antisense RNA probes were synthesized through in vitro transcription using the Riboprobe® System-T7 Transcription Kit (P1440, Promega) and ROCHE DIG RNA Labeling Mix (REF 11277073910, Roche), according to the manufacturers’ instructions. The zebrafish embryos were fixed in 4% paraformaldehyde, treated with a gradient methanol series (25%, 50%, 75%, 85%, 95%, and 100%), and stored in 100% methanol.
Whole-embryo in situ hybridization (WISH) was performed as previously described (Oxtoby and Jowett, 1993). In brief, stored embryos (30–50 embryos/tube) were rehydrated in a graded methanol/PBST series, digested in 10 mg/mL proteinase K (PBST), fixed again in 4% paraformaldehyde, and pre-hybridized in hybridization buffer. Subsequently, the pre-hybridization buffer was replaced with fresh hybridization buffer containing digoxigenin-labeled RNA probe (300 ng) and incubated overnight at 65 °C. Furthermore, the embryos were washed in different buffers, blocked with 2 mg/mL BSA and 2% sheep serum, and incubated with pre-adsorbed antibody overnight. The embryos were then stained using MABT and AP substrate chromogenic solution until an optimal signal was obtained (approximately 10 min–50 min). The staining reaction was terminated by washing in several changes of PBS and PBST. Finally, embryos were kept at 4 °C and photographed in 6% methylcellulose using a Leica TL 5000 microscope (Leica, Germany). After the embryos were photographed, they were collected for genotyping.
2.5. Heart function analysis
Cardiac function analysis in zebrafish embryos was performed as previously described (Fink et al., 2009). In brief, M-mode was conducted using a high-speed EMCCD camera to capture 10-s movies of zebrafish heart activity at 48 hpf under a ×20 microscope objective. The recorded cardiac motion videos were analyzed using custom heart analysis software (SOHA software) to derive the functional parameters: heart rate (HR), heart period (HP), diastolic interval (DI), systolic interval (SI), diastolic diameter (DD), systolic diameter (SD), and fractional shortening (FS). All data were visualized as scatter point histograms. Following imaging, embryos were collected for genotyping.
2.6. Phenotypic analyses of zebrafish
Embryos were incubated at 28.5 °C in Petri dishes containing fish water. To prevent the formation of melanin pigments, PTU (Sigma) was added to fish water at a final concentration of 0.003% at the end of gastrulation. Then, the zebrafish embryos at 48, 72, and 96 hpf were immobilized using 6% methylcellulose and positioned with the abdomen facing upward, and the pericardial cavity and cardiac phenotypes were imaged using an Axiocam (Zeiss) for subsequent analysis.
2.7. Western blotting
Intact heart tissues (including the outflow tract and inflow tracts) were microdissected from 48 hpf zebrafish, and the residual body tissues were retained for genotyping. Following genotyping, heart tissues from the same genotype were pooled, with a minimum of 30 hearts per experimental group, for subsequent protein extraction. Each genotype was represented by at least three independent biological replicates.
Total protein was extracted by homogenizing pooled heart tissues in 100 μL radioimmunoprecipitation assay (RIPA) buffer (Beyotime). Proteins were then separated by sodium dodecyl sulfate–polyacrylamide gel electrophoresis (SDS-PAGE) using Future PAGETM 4%–20% 15-well gels (ACE). Separated proteins were transferred to polyvinylidene fluoride (PVDF) membranes (Millipore), which were subsequently blocked with 5% skim milk (CST) in Tris-buffered saline with Tween-20 (TBST) for 2 h at room temperature. After blocking, membranes were incubated overnight at 4 °C with the following primary antibodies: GAPDH (1:50,000, 60004, Proteintech), Vim (1:1,000, T55134, Abmart), Myl7 (1:5,000, GTX128346, GeneTex), Cdh2 (1:1,000, CST, 13116), Cdh1 (1:1,000, 3195, CST), and Fn1 (1:1,000, ab268020, Abcam). The proteins were then incubated with horseradish peroxidase (HRP)-conjugated anti-rabbit immunoglobulin G (IgG) or anti-mouse IgG (1:10,000; Abmart) for 2 h at room temperature. After washing with TBST, protein bands were visualized using an Immobilon@ Western Chemiluminescent HRP Substrate kit (Millipore). The relative signal densities of the protein bands were quantified using ImageJ (1.51 version, NIH) and normalized to GAPDH to account for variations in protein loading.
2.8. Immunostaining
Immunostaining was performed as previously described (Yang and Xu, 2012). The tail biopsies from 48 hpf zebrafish embryos were used for genotyping, while the remaining embryonic tissues were fixed in 4% paraformaldehyde (PFA) at 4 °C and embedded in paraffin. Paraffin-embedded tissues were then sectioned into 2 μm–4 μm cross-sections, which were subjected to immunostaining with a primary antibody against myosin light chain 7 (Myl7, 1:200, GTX128346, GeneTex), goat anti-rabbit IgG (H + L) cross-adsorbed secondary antibody (Alexa Fluor™ 594, A-11012, 1:1000, Thermo Fisher Scientific), and 4′,6-diamidino-2-phenylindole (DAPI, 1:5000, 28718–90-3, Proteintech) for nuclear counterstaining.
The heart sarcomere structure was imaged using a Nikon confocal microscope (AX-NIS-Elements). The width and length of the sarcomere bands were measured based on fluorescence images. Three zebrafish embryos with well-preserved and clearly stained heart tissues were selected for analysis for each experimental group. For each heart sample, the width or length of the Z-disc was measured in at least three distinct myofibrils to ensure statistical reliability.
2.9. Valve morphology analysis
The Tg (flia:GFP) line (Shi et al., 2020) was crossed with bmpr2a +/−;bmpr2b +/− to generate double heterozygotes, producing flia:GFP;bmpr2a+/−;bmpr2b+/− offspring, which were then subjected to self-crossing. Zebrafish embryos were maintained at 28 °C until 144 hpf, and fluorescent images were captured and analyzed using a Nikon confocal microscope (AX-NIS-Elements). After obtaining the images, embryonic tissues were collected for genotype identification, and the same genomes were grouped. The left and right valves were delineated with yellow and red dotted lines, respectively, and their diameters were measured using Digimizer software. At least six samples were used per group.
2.10. Statistical analysis
For comparisons among more than two groups, the Shapiro–Wilk test was utilized to determine the normality of data distribution, and the Levene’s test was implemented to examine the homogeneity of variances. When parametric assumptions were met, one-way analysis of variance (ANOVA) was performed, followed by Tukey’s post hoc test for multiple pairwise comparisons. When parametric assumptions were violated, the non-parametric Kruskal–Wallis test was implemented, followed by Dunn’s post hoc test combined with the Benjamini–Hochberg correction to account for multiple comparisons biases. All statistical analyses were performed using biological replicates. Data are presented as the mean ± standard deviation (SD) and were visualized using GraphPad Prism software. Statistical significance was defined as follows: ns, p > 0.05; *, p < 0.05; **, p < 0.01; and ***, p < 0.001.
3. Results
3.1. Construction of bmpr2a and bmpr2b knockout zebrafish strains
To characterize the function of BMPR2 in zebrafish, we used CRISPR/Cas9 genome technology to generate bmpr2a and bmpr2b knockout strains. Bioinformatics analysis using the NCBI and Ensemble databases revealed that both bmpr2a (NM_001039817.1, ENSDART00000056764.5) and bmpr2b (NM_001039807.1, ENSDART00000125961.3) consist of 13 exons. Guide RNAs were designed to target exons 8 and 9 of bmpr2a and bmpr2b, respectively, for gene disruption (Figures 1A,B). PCR screening and Sanger sequencing of the F0 generation offspring revealed a 202 bp deletion in bmpr2a, including 131 bp within exon 8 and 71 bp in intron 8 (Figure 1C). For bmpr2b, mutagenesis resulted in a 171 bp deletion with a 3 bp insertion and a 146 bp deletion in exon 8 and a 25 bp deletion in exon 9 (Figure 1D). Both mutant zebrafish lines exhibited frameshift alterations that were predicted to result in premature translational termination (Figure 1E). Consequently, these mutants lost most of the functional domains of the protein kinase, along with the amino acid residues D482 and D485, which directly interact with ACVRL1, a ligand of the BMP signaling pathway (Iwasa et al., 2023) (Figure 1E).
FIGURE 1.
Schematic diagram of bmpr2a/b gene knockout in zebrafish. (A,B) Schematic diagrams of sgRNA targeting for bmpr2a and bmpr2b gene knockout, respectively. The red background and font represent exon 8 DNA, the green background and font represent exon 9 DNA, the purple background represents the protospacer adjacent motif (PAM), and the yellow background represents the target sequences. (C,D) Alignment between the wild-type and bmpr2a and bmpr2b knockout genomes using SnapGene software. The red rectangle and font represent exon 8, the black rectangle and font represent intron 8, and the green rectangle and font represent exon 9. (E) Protein alignment of human BMPR2 (NP_001195), zebrafish Bmpr2a (NP_001034906), and zebrafish Bmp2b (NP_001034896). The black boxes denote the protein kinase domain; the red lines indicate the deleted sequence of the Bmpr2a protein in the bmpr2a knockout sequence; the blue double arrows indicate the deleted sequence of the Bmpr2b protein in the bmpr2b knockout mutant; the black arrows (pointing to D482 and D485) indicate two amino acid residues that directly interact with the ligand ACVRL1. (F,G) qRT-PCR detected the validation of bmpr2a and bmpr2b gene knockout efficiency in bmpr2a −/− , bmpr2b −/− , and bmpr2a −/− ;bmpr2b −/− mutant zebrafish strains. cDNA was prepared from 48 hpf embryos. The Kruskal–Wallis test was used to compare the statistical significance of differences among the groups. Data are presented as the mean ± SD. *, p < 0.05; **, p < 0.01; ***, p < 0.001; ns, p > 0.05.
F1 heterozygotes (bmpr2a +/− and bmpr2b +/− ) were generated by crossing F0 founders with wild-type zebrafish, and F2 mutant offspring were obtained by self-crossing of F1 heterozygotes. The results showed that, in both bmpr2a and bmpr2b mutant zebrafish strains, homozygous offspring from heterozygote self-crosses did not conform to Mendelian inheritance (1:2:1), indicating that the homozygous offspring were partially developmentally lethal (Supplementary Figures S1A, C). The sex ratio of homozygotes of both bmpr2a and bmpr2b showed severe imbalance; 2 of 57 bmpr2a −/− individuals were female in bmpr2a −/− , and all 71 adult bmpr2b −/− individuals were male (Supplementary Figures S1B, D). Zhang et al. (2020) reported that the loss of bmpr2a impairs the formation of mature follicles in female zebrafish and spermatogonia meiosis in male zebrafish, whereas bmpr2b deficiency disrupts folliculogenesis (resulting in infertility in mutant females) in female zebrafish but does not affect the formation of mature spermatogonia in male zebrafish (Zhang et al., 2020). Notably, their study described gonadal hypertrophy and dysfunction in bmpr2a/b mutant zebrafish without significant shifts in the sex ratio. However, we observed marked sex-ratio imbalances in both bmpr2a and bmpr2b single mutants. This discrepancy may be attributed to differences in the sgRNA-targeting regions. In the study of Zhang et al. (2020), sgRNAs targeting bmpr2a and bmpr2b were designed for exons 2 and 1, respectively, both of which are located near the ATG start codon. In contrast, in our study, the sgRNAs for bmpr2a and bmpr2b target exons 8 and 9, respectively, with both regions located far from the ATG start codon. However, the molecular mechanisms underlying these phenotypic differences require further investigation.
Owing to the pronounced sex-ratio imbalance in bmpr2a −/− and bmpr2b −/− , female bmpr2a −/− zebrafish were crossed with male bmpr2b −/− zebrafish to generate double heterozygotes (bmpr2a +/−;bmpr2b +/− ). Self-crossing of these double heterozygotes and genotyping analyses showed that while all other genotypes adhered to Mendelian inheritance, double homozygotes (bmpr2a −/− ;bmpr2b −/− ) were absent in adult populations (0.00%, Supplementary Figure S1F). At 48 hpf, however, bmpr2a −/− ;bmpr2b −/− individuals comprised 7.50% of the offspring, approaching the expected Mendelian ratio of 6.25% (1/16; Supplementary Figure S1E). These results confirmed the developmental lethality of the double mutants, which is consistent with the findings of Zhang et al. (2020). In their study, a significant increase in mortality was observed in bmpr2a −/− ;bmpr2b −/− mutants at 30 days post-fertilization (dpf).
Subsequent functional analysis utilized offspring from bmpr2a +/−;bmpr2b +/− self-crossing, focusing on four genotype groups, namely, WT (bmpr2a +/+ ;bmpr2b +/+ ), bmpr2a homozygotes (bmpr2a −/− ;bmpr2b +/+ ), bmpr2b homozygotes (bmpr2a +/+ ;bmpr2b −/− ), and double homozygotes (bmpr2a −/− ;bmpr2b −/− ), for phenotypic characterization.
qRT-PCR was performed to assess bmpr2a and bmpr2b. Compared to that of bmpr2a +/+ ;bmpr2b +/+ , bmpr2a transcript levels were reduced by ∼95% in both bmpr2a −/− ;bmpr2b +/+ and bmpr2a −/− ;bmpr2b −/− (Figure 1F). Notably, bmpr2a expression was also reduced by ∼55% in bmpr2a +/+ ;bmpr2b −/− , indicating cross-regulation between the two paralogs. Conversely, bmpr2b expression was reduced by ∼90% in both bmpr2a +/+ ;bmpr2b −/− and bmpr2a −/− ;bmpr2b −/− and by ∼65% in bmpr2a −/− ;bmpr2b +/+ (Figure 1G). These results confirmed the successful generation of double-knockout zebrafish and revealed the mutual regulatory interactions between bmpr2a and bmpr2b. This regulatory crosstalk is consistent with prior observations that individual knockdown of bmpr2a or bmpr2b induces comparable heart laterality defects, whereas simultaneous knockdown does not increase these phenotypes (Monteiro et al., 2008).
Through gene structure analysis and by demonstrating consistency with previous findings, we successfully generated three mutant zebrafish lines, including two single-knockout strains (bmpr2a −/− and bmpr2b −/− ) and a bmpr2a −/− ;bmpr2b −/− double-knockout strain. Phenotypic analysis revealed that homozygous mutants for either bmpr2a or bmpr2b exhibited partial developmental lethality, while all bmpr2a −/− ;bmpr2b −/− double-homozygous embryos failed to survive to adulthood, highlighting the indispensable and synergistic roles of these genes in zebrafish development.
3.2. The loss of bmpr2a and bmpr2b resulted in cardiac contraction at the early embryonic stage of zebrafish
Given that the loss of bmpr2b leads to embryonic development lethality in zebrafish, we investigated whether bmpr2a and bmpr2b affect heart development and cardiac function. Morphological analysis of cardiac development revealed that cardiac looping abnormalities and pericardial edema occurred not only in the double homozygotes bmpr2a −/− ;bmpr2b −/− but also in single homozygous mutants (bmpr2a −/− ;bmpr2b +/+ and bmpr2a +/+ ;bmpr2b −/− ) at comparable frequencies (Supplementary Figure S2). The phenotype of heart looping abnormalities is consistent with that of prior studies, in which bmpr2a/b knockdown affected the establishment of left–right asymmetry in zebrafish (Monteiro et al., 2008).
Furthermore, using M-mode (Fink et al., 2009), we analyzed the key parameters of ventricular function at 48 hpf. The results showed that compared to WT controls, bmpr2a +/+;bmpr2b +/+, bmpr2a −/−;bmpr2b +/+, bmpr2a +/+;bmpr2b −/−, and bmpr2a −/−;bmpr2b −/− mutant zebrafish exhibited no significant differences in ventricular diastolic interval and systolic diameter (Figures 2A,B,G). However, mutant zebrafish showed prolonged ventricular systolic intervals, altered heart-rate ratios, prolonged cardiac cycles, and reduced ventricular diastolic diameters and fractional shortening (FS) (Figures 2C–F,H,I), indicating impaired contractility and cardiac dysfunction. Collectively, these data indicate that bmpr2 signaling is critical for cardiac contractile and pacing functions, with loss-of-function mutant zebrafish developing heart failure at 48 hpf. Furthermore, altered heart-rate ratios, prolonged cardiac cycles, increased ventricular systolic diameters, and decreased ventricular diastolic diameters and FS were also observed in mutant zebrafish at 72 hpf (Figures 2J–N). This is consistent with previous research showing that BMP signals, such as BMP2 and BMP4, can regulate the differentiation and formation of sinusoidal node cells, thereby affecting cardiac pacing and the heart rate (Liang et al., 2021; Linscheid et al., 2019; Wang et al., 2023). An irregular heart rate impairs cardiac function through intracellular production of reactive oxygen species (Bergau et al., 2022) and altered expression of sarcomere structure genes and heart failure markers (Lee and Cha, 2021; Sossalla and Vollmann, 2018). Therefore, this may be one of the reasons for diastolic and systolic dysfunction and reduced FS in the three mutant zebrafish strains (bmpr2a −/− ;bmpr2b +/+ , bmpr2a +/+ ;bmpr2b −/− , and bmpr2a −/− ;bmpr2b −/− ).
FIGURE 2.
Ventricular morphology and heart parameters analysis via M-mode at 48 and 72 hpf. (A) M-modes from movies of embryo hearts at 48 hpf revealed cardiac physiological functions. (B,C) Optical recordings of diastolic interval and systolic interval at 48 hpf, respectively. (D) Heart rate was measured from the pacemaker activity at 48 hpf. (E) Heart period was measured as the interval between the start of one diastole and the beginning of the next at 48 hpf. (F) Morphological analysis from the M-mode screenshot displayed the ventricular diastolic and systolic diameter at 48 hpf. (G) Statistical results of ventricular systolic diameter at 48 hpf. (H) Statistical results of ventricular diastolic diameter. (I) Fractional shortening (FS) provides an estimate of the ejection volume at 48 hpf. (J–N) Statistical results of the heart rate, heart period, ventricular systolic diameter, ventricular diastolic diameter, and FS at 72 hpf. HP, heart period; SI, systolic interval; DI, diastolic interval; DD, diastolic diameter; SD, systolic diameter; FS, fractional shortening. Data are presented as the mean ± SD (n > 10). One-way ANOVA was used to compare the significance between each group. ns, p > 0.05; *, p < 0.05; **, p < 0.01; ***, p < 0.001.
The sarcomere structure is crucial for maintaining the cardiac architecture and enabling myocardial contraction (Zhang et al., 2023). Changes in the sarcomere structure can alter cardiac function (Crocini and Gotthardt, 2021). A previous study demonstrated that the thick filament network of the sarcomere can be visualized via myosin immunostaining (Yang and Xu, 2012). Consistent with this approach, we utilized Myl7 immunostaining to examine the sarcomere structure at 48 hpf in our experimental models. As shown in Figure 3A, sarcomeres in the WT group, bmpr2a +/+ ;bmpr2b +/+ , exhibited an ordered arrangement, and the same structural order was observed in the three mutant groups, namely, bmpr2a −/− ;bmpr2b +/+ , bmpr2a +/+ ;bmpr2b −/− , and bmpr2a −/− ;bmpr2b −/− (Figure 3A). Furthermore, comparative analysis revealed that compared with that of the bmpr2a +/+ ;bmpr2b +/+ group, the width of the bmpr2a −/− ;bmp2b +/+ , bmpr2a +/+ ;bmpr2b −/− , and bmpr2a −/− ;bmpr2b −/− embryos was significantly decreased, while the length of the bands was not affected (Figures 3B,C). Although the width of the sarcomere was affected in the three mutant strains, the changes were not sufficient to affect the contraction and relaxation functions of the nervous system; instead, together with the heart ratio, they induced diastolic and systolic dysfunction and reduced FS.
FIGURE 3.
bmpr2a −/− ;bmpr2b −/− affects the myofibril substructures. (A) IF-detected subcellular localization of Myl7 exhibited striated bands at 48 hpf. The white bracket lines with double-ended arrows indicate the band length; the blue bracket lines with double-ended arrows indicate the band width. Scale bar, 2 μm. (B,C) Measurement of the width and length in A, respectively. Data are presented as the mean ± SD. One-way ANOVA was used to compare the significance between the groups. ns, p > 0.05; *, p < 0.05; **, p < 0.01.
3.3. The loss of bmpr2a and bmpr2b resulted in abnormal valve development in zebrafish embryos
In zebrafish, the cardiac valve matures into a functional structure at 144 hpf, and the Tg (flia:EGFP) mutant line, which specifically labels endothelial cells, has been validated as a reliable tool for visualizing the valve architecture (Duchemin et al., 2019). To assess valve structural integrity, we analyzed the Tg (flia:EGFP) line at 144 hpf. Compared to that in WT (bmpr2a +/+ ;bmpr2b +/+ ) zebrafish embryos, the atrioventricular valve of bmpr2a−/− ;bmpr2b +/+ , bmpr2a +/+ ;bmpr2b −/− , and bmpr2a −/− ;bmpr2b −/− zebrafish embryos exhibited a significantly thickened morphology (Figures 4A–C).
FIGURE 4.
bmpr2a −/− ;bmpr2b −/− affects the valve development. (A) Tg (flia:GFP) zebrafish line showing the overall structure of the heart at 144 hpf. The red dashed line indicates the heart structure; the blue dashed line indicates the valve structure. A, atrium; V, ventricle; BA, bulbus arteriosus. Scale bar: 100 µm. (B,C) Quantification of the left valve and right valve diameter in A. L-Va (left valve) is represented by yellow dotted line in A; R-Va (right valve) is represented by the red dotted line in A. n ≥ 6. (D) WISH detected the expression of nfact1, fn1b, has2, and klf2a in mutant zebrafish at 52 hpf. (E–H) qRT-PCR detected the expression of nfact1, fn1b, has2, and klf2a in the mutant zebrafish at 52 hpf. Data are presented as the means ± SD. The Kruskal–Wallis test was used to compare the statistical significance of differences among the groups. ns, p > 0.05; *, p < 0.05; **, p < 0.01.
Cardiac valve development in zebrafish is initiated at 52 hpf and is governed by key markers, including nfatc1, fn1b, has2, and klf2a (Huang et al., 2018; Steed et al., 2016). To explore the molecular basis of valve developmental defects in bmpr2-knockout mutant zebrafish, we performed WISH to assess gene expression at 52 hpf. Compared to that in bmpr2a +/+ ;bmpr2b +/+ embryos, nfatc1, fn1b, and has2 showed significantly upregulated expression in bmpr2a−/− ;bmpr2b +/+ , bmpr2a +/+ ;bmpr2b −/− , and bmpr2a −/− ;bmpr2b −/− mutant strains (Figure 4D). Conversely, klf2a expression was downregulated in all mutant strains (Figure 4D). qRT-PCR validated these findings, demonstrating consistent upregulation of nfatc1, fn1b, and has2 and downregulation of klf2a in all mutant strain embryos (Figures 4E–H). Collectively, these results indicate that bmpr2 loss-of-function mutation disrupts the transcriptional program governing valve development in zebrafish.
3.4. Transcriptome analysis of differentially expressed genes in bmpr2a/b knockout zebrafish
These results indicated that bmpr2-knockout mutant zebrafish exhibited abnormal cardiac function and valve development at 48 and 52 hpf, respectively. To uncover the underlying molecular mechanisms, we performed transcriptome sequencing (RNA-seq) on embryos at 48 hpf. DEGs were identified using strict criteria (p < 0.05 and FC ≥ 2 or ≤0.5). Compared to the bmpr2a +/+ ;bmpr2b +/+ group, the bmpr2a −/− ;bmpr2b +/+ group showed 753 upregulated and 126 downregulated genes, the bmpr2a +/+ ;bmpr2b −/− group had 1,197 upregulated and 234 downregulated genes, and the bmpr2a −/− ;bmpr2b −/− group contained 435 upregulated and 153 downregulated genes (Supplementary Figures S3, 4). In contrast, comparisons between double-knockout strains, bmpr2a −/− ;bmpr2b −/− , and single-knockout strains revealed minimal DEGs: bmpr2a −/− ;bmpr2b +/+ had nine upregulated and four downregulated genes, whereas bmpr2a +/+ ;bmpr2b −/− had one upregulated and 0 downregulated genes (Supplementary Figures S3, 4). Only 21 upregulated and 17 downregulated genes distinguished the two single-knockout lines (Supplementary Figure S3A).
Gene Ontology (GO) enrichment analysis of DEGs showed significant clustering in the cellular component (CC), molecular function (MF), and biological process (BP) categories, including small molecule metabolism, extracellular region, peptidase regulation, and oxidoreductase activity (Supplementary Figures S5A–C). These indicate roles in cellular metabolism, the encoding of secreted proteins or extracellular matrix components, extracellular signal transduction or structural support, and protein degradation. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis identified enrichment in PPAR signaling, phagosome, vascular smooth muscle contraction, and ECM–receptor interaction (Supplementary Figures S5D–F), linking multiple biological processes, including lipid metabolism, immune response, cardiovascular regulation, cell adhesion/migration, and signal transduction. Surprisingly, in the TGFb signaling pathway, except for the downregulation of bmp1b gene expression, other members were upregulated; the target genes of the TGFb signaling pathway, except for gatad2b, were also upregulated (Supplementary Figure S6).
Given the consistent cardiac dysfunction and valve development defects across all three mutant strains, Venn analysis identified 356 commonly dysregulated genes (Figure 5A), which were compiled into the Venn_356 gene subset (Supplementary Table S3).
FIGURE 5.
Transcriptomic analysis of differentially expressed genes in bmpr2a/b mutant zebrafish. (A) Venn analysis of the DEGs of the three groups, namely, bmpr2a −/− ;bmpr2b +/+ , bmpr2a +/+ ;bmpr2b −/− , and bmpr2a −/− ;bmpr2b −/− . The Venn DEGs were named the Venn_365 subset. (B) Heatmap of the Venn_365 subset. (C,D) KEGG and GO enrichment analyses of the Venn_365 subset, respectively.
Heatmap clustering confirmed consistent expression patterns (Figure 5B), with KEGG enrichment in “Cardiac muscle contraction” and “ECM–receptor interaction” (Figure 5C), which are directly relevant to contractile dysfunction and valve development defects, respectively. GO analysis further validated the overrepresentation of the CC, MF, and BP categories (Figure 5D).
Functional and molecular analyses converged to show that all three mutant lines (bmpr2a −/− ;bmpr2b +/+ , bmpr2a +/+ ;bmpr2b −/− , and bmpr2a −/− ;bmpr2b −/− ) exhibited heart failure at 48 hpf because of impaired contractility (Figure 2). Transcriptomic analysis revealed consistent upregulation of cardiac contraction genes, validated by qRT-PCR, in both whole embryos and isolated cardiac tissue for cardiac contraction genes myl9a, myl9b, tnnc1a, cmlc1, and myl7 and the heart failure marker nppa (Figures 6A,B; Supplementary Figure S7A). WISH for nppa and myl7 showed elevated expression and ventricular dilation trends in the mutant strain compared to those in the WT (Figure 6C). Furthermore, Western blotting analysis using protein extracts from zebrafish cardiac tissue at 48 hpf confirmed that the protein level of Myl7 was upregulated in the bmpr2a/b-knockout zebrafish line (Figure 6D). Collectively, these data demonstrate that the bmpr2a/b loss-of-function mutation disrupts cardiac contraction through transcriptional dysregulation of contraction-related genes.
FIGURE 6.
Molecular mechanism verification: bmpr2a −/− ;bmpr2b −/− affects heart contraction at 48 hpf. (A) Heatmap of genes that affect cardiac contraction. (B) qRT-PCR detected the expression of the cardiac contraction genes. (C) WISH verified the expression of the cardiac contraction genes. (D) Western blotting detected the expression of the cardiac protein Myl7. Lane 1, wild-type group (bmpr2a +/+ ;bmpr2b +/+ ); lane 2, bmpr2a −/− ;bmpr2b +/+ group; lane 3, bmpr2a +/+ ;bmpr2b −/− group; lane 4, bmpr2a −/− ;bmpr2b −/− group. Data are presented as the mean ± SD. The Kruskal–Wallis test was used to compare the statistical significance of differences among the groups. ns, p > 0.05; *, p < 0.05.
3.5. bmpr2a/b regulated valve development via the ECM–receptor interaction pathway
The results presented in Figure 4 demonstrate that bmpr2 insufficiency disrupted valve morphogenesis in zebrafish. This was evidenced by significant alterations in the expression of key valve markers, where fn1b, has2, and nfatc1 were upregulated, while klf2a was downregulated in all three mutant lines (bmpr2a −/− ;bmpr2b+/+ , ;bmpr2a+/+ ;bmpr2b −/− , and bmpr2a −/− ;bmpr2b −/− ). These changes in expression were further confirmed by heatmap analysis (Figure 7A).
FIGURE 7.
bmpr2a/b affects the valve development via the ECM–receptor interaction. (A) Heatmap of the ECM–receptor interaction, valve markers, EndMT-related genes, and mesenchymal cell-related genes. (B,C) qRT-PCR detected the expression of the ECM–receptor interaction genes. (D) Western blotting detected the expression of the ECM–receptor interaction protein Fn1. Lane 1, wild-type group (bmpr2a +/+ ;bmpr2b +/+ ); lane 2, bmpr2a −/− ;bmpr2b +/+ group; lane 3, bmpr2a +/+ ;bmpr2b −/− group; lane 4, bmpr2a −/− ;bmpr2b −/− group. (E) qRT-PCR detected the expression of the EndMT-related genes cdh1, cdh17, and snail. (F) Western blotting detected the expression of the EndMT-related protein Cdh1. (G) qRT-PCR detected the expression of the mesenchymal cell-related genes cdh2 and vim. (H) Western blotting detected the expression of the mesenchymal cell-related proteins Cdh2 and Vim. The Kruskal–Wallis test was used to compare the statistical significance of differences among the groups. Data are presented as the mean ± SD. ns, p > 0.05; *, p < 0.05; **, p < 0.01.
The ECM is critical for valve remodeling (Kern, 2021), and it is associated with valve disease (Huang et al., 2022). The KEGG enrichment analyses of DEGs between WT and bmpr2-knockout zebrafish highlighted significant changes in the ECM–receptor interaction pathway genes across all three mutant zebrafish groups (Figure 5C, red box). Heatmap analysis and qRT-PCR assay conducted on both whole embryos and isolated cardiac tissue consistently demonstrated the upregulation of multiple ECM–receptor interaction-related genes, including vtnb, vtna, ambp, itga1, lamb2, fn1a, tpbg, cspg4, and vcanb, along with the downregulation of aggf1 (Figures 7A–C, Supplementary Figures S7B, C). Furthermore, Western blotting analysis using protein extracts from zebrafish cardiac tissue at 48 hpf confirmed that the protein level of Fn1 (a key ECM component) was upregulated in the bmpr2-knockout zebrafish line (Figure 7D).
Zebrafish valve development initiates at 48 hpf, coinciding with the relative upregulation of ECM (Steed et al., 2016). During ECM remodeling, endocardial cells undergo endothelial-to-mesenchymal transition (EndMT) and subsequent post-EndMT processes, in which mesenchymal cells differentiate into valve interstitial cells, thereby driving valve elongation (Coram et al., 2015). Consistent with these developmental dynamics, our heatmap data showed that bmpr2a/b-knockout zebrafish exhibited upregulated EndMT-related genes (snail, cdh1, and cdh17) and downregulated mesenchymal cell-related genes (cdh2 and vim) (Figure 7A). These results demonstrate that the EndMT process is potentially dysregulated during valvular development in bmpr2a/b-knockout zebrafish.
Although Cdh1 (E-cadherin) is not a canonical EndMT marker, its downregulation is a well-recognized hallmark of cell–cell adhesion loss during both epithelial-to-mesenchymal transition (EMT) and EndMT, reflecting the shift of the cells from a tightly connected epithelial or endothelial phenotype to a highly migratory mesenchymal state (Ma et al., 2020; Singh et al., 2024). Therefore, Cdh1 can be considered an epithelial/endothelial-related gene whose downregulation indicates the progression of EndMT, and we used it to evaluate EndMT dynamics. The above expression pattern was observed in both whole embryos and isolated cardiac tissue (Figures 7E, G, Supplementary Figures S7D, E). Furthermore, Western blotting analysis of protein extracts from zebrafish cardiac tissue at 48 hpf confirmed the transcriptional trends at the protein level; the protein level of the EndMT-related protein Cdh1 was upregulated, whereas the protein levels of Cdh2 and Vim (mesenchymal cell-related genes) were downregulated in the bmpr2-knockout zebrafish line (Figures 7F,H). Protein–protein interaction (PPI) network analysis predicted that ECM–receptor genes (vtnb, vtna, ambp, itga1, lamb2, fn1a, tpbg, and cspg4) act upstream of the EndMT regulators (snail2, cdh17, and cdh1) and mesenchymal-related genes (cdh2 and vim), with the valve marker nfatc1 positioned downstream of the EndMT effectors (Figure 8A).
FIGURE 8.
PPI analyses of the regulatory network of valve development genes and cardiac contraction genes. (A) PPI analyses of the regulatory network of valve development genes, ECM–receptor interaction genes, EndMT-related genes, and mesenchymal cell-related genes. (B) PPI analyses of the regulatory network of cardiac contraction genes. (The PPI website is String: https://cn.string-db.org/cgi/input?sessionId=bVkLDdkSKKje&input_page_active_form=multiple_identifiers).
Collectively, these findings revealed that bmpr2a/b inactivation upregulated ECM–receptor interaction signaling, which may regulate the EndMT process to facilitate early valve development in zebrafish (Figure 9). However, the specific molecular mechanisms require further experimental verification.
FIGURE 9.
Diagram illustrating the molecular mechanism of bmpr2a/b affecting heart looping, cardiac contraction, and valve development; ↓ indicates the genes with downregulated expression in bmp2a/b-deficient zebrafish; ↑ indicates the genes with upregulated expression in bmp2a/b-deficient zebrafish; the genes enclosed in brackets are the main genes that regulate the expression of the genes in the circles, which were predicted by the PPI regulatory network (Figure 8).
4. Discussion
4.1. Molecular mechanisms between bmpr2a/b and the differentiation of myocardial cells
4.1.1. Sarcomere and heart failure genes regulate cardiomyocyte differentiation
Sarcomere gene dysregulation drives myocardial remodeling, which is a key mechanism implicated in the initiation and progression of heart failure (Marian and Braunwald, 2017). For example, increased myofibrillar density (van Heerebeek et al., 2006) and ACTN2 overexpression (Lan et al., 2025) occur in patients with heart failure and restrictive cardiomyopathy, respectively, while TNNT2 mutations correlate with myocardial remodeling and dilated or hypertrophic cardiomyopathy (DCM/HCM) severity (Ahmad et al., 2008; Li et al., 2021).
For MYL2 (myosin light chain 2), the p.Ile158Thr mutation specifically enhances its expression to induce congenital heart disease (Zhang et al., 2022), and MYL7, which is both a chamber-specific marker and a regulator of heart failure, showed increased phosphorylation following phenylephrine treatment (Grimm et al., 2005). Both Myl7 and the heart failure marker nppa are overexpressed in human cardiac hypertrophy tissues (Newman et al., 2017). In zebrafish embryos, a 7-day exposure to polystyrene nanoplastics (PSNPs) significantly reduced embryo hatching and survival rates, induced cardiac developmental defects, and markedly upregulated myl7 expression (Liu et al., 2024). During murine cardiac development, Shh knockout (Shh−/− ) activates sarcomere genes (including Myl7, cmlc1, myl9a, myl9b, tnnc1a, and Acta1), and the heart failure marker Nppa collectively regulates cardiomyocyte differentiation (Rowton et al., 2022).
Consistent with these findings, our three bmpr2a/b mutant lines (bmpr2a −/− ;bmpr2b +/+ , bmpr2a +/+ ;bmpr2b −/− , and bmpr2a −/− ;bmpr2b −/− ) exhibited significant upregulation of sarcomere-related genes (myl7, myl9a, myl9b, tnnc1a, and cmlc1) and the heart failure marker nppa (Figure 6). Moreover, the PPI regulatory network identified myl7 and cmlc1 as key nodes that may regulate the expression of myl9a, myl9b, tnnc1a, Acta1, and nppa (Figures 8, 9).
4.1.2. bmpr2a/b deficiency induces sarcomere gene activation via Tgfb2/3
Both TGF-β and BMP signaling play pivotal roles in myocyte differentiation. BMPR2 mutations impair the differentiation of induced pluripotent stem cells (iPSCs) and intracellular Ca2+ transients (Du et al., 2022), whereas BMP signaling, such as BMP10 and BMP2, and BMPR1, promotes cardiomyocyte proliferation during heart development and adult heart tissue regeneration (Sorensen and van Berlo, 2020; Wu et al., 2016). In contrast, TGF-β activation drives actin cytoskeleton reorganization and stress fiber formation (Tzavlaki and Moustakas, 2020); Tgfb2 is highly expressed in cardiac progenitor cells and cardiomyocytes from 8.5 to 9.5 days in mouse embryos (Dickson et al., 1993), and its deficiency impairs myocardial cell proliferation, leading to ventricular wall thinning (Bhattacharya et al., 2021). Tgfb3 shows low levels of expression around the outflow tract at 8.5 days in mouse embryos (Dickson et al., 1993), and Tgfb3 correlates with NPPA expression, which is a key factor in dilated cardiomyopathy (DCM) associated with heart failure (Zhu et al., 2022).
Significantly, TGF-β and BMP signaling also exhibit complex synergistic or antagonistic interactions during disease and development. In pulmonary artery smooth muscle cells, BMP inhibition enhances TGF-β signaling and downstream gene expression, whereas Tgfb1 overexpression suppresses BMP signaling, upregulates ACTA2, and promotes osteogenic/adipogenic differentiation of human mesenchymal stem cells (Calvier et al., 2017; Elsafadi et al., 2019). During APAP-induced hepatotoxicity, BMP7 and Tgfb1 coordinate tissue repair (Stavropoulos et al., 2022), whereas their expression diverges in human chondrosarcomas (Boeuf et al., 2012).
Our RNA-seq analysis revealed upregulation of tgfb2 and tgfb3 in three bmpr2a/b mutant lines (compared to bmpr2a +/+ ;bmpr2b +/+ ; Supplementary Figures S8A, B), indicating that bmpr2a/b deficiency may activate sarcomere genes via TGF-β signaling, especially tgfb2 and tgfb3 (Figure 9). However, further functional studies are required to validate this hypothesis.
4.2. Molecular mechanisms between bmpr2a/b and valve development
4.2.1. bmpr2a/b affects valve development via ltbps–ECM–receptor interaction-regulated EndMT
ECM–receptor crosstalk is essential for valve development in the heart. Valve development is initiated at 48 hpf in zebrafish, coinciding with the upregulation of ECM-related pathways (Steed et al., 2016). In the ECM microenvironment, two sequential processes, EndMT and subsequent post-EndMT events, are not only critical for driving valve elongation but are also dependent on ECM–receptor crosstalk (Coram et al., 2015). Key ECM components orchestrate valve development by regulating cell adhesion, migration, and tissue remodeling. For instance, vtna and vtnb (vitronectin isoforms) govern cell adhesion, migration, and tissue remodeling (Leavesley et al., 2013; Peng et al., 2023), whereas ambp (alpha-2-macroglobulin precursor) is elevated in calcified aortic valves of patients and high-cholesterol diet-induced ApoE −/− mice (Guo et al., 2025). lamb2 (laminin beta 2) and fn1 (fibronectin) define the outer ECM signatures of developing tissues (Kremer et al., 2024), with laminin promoting cell proliferation and fibronectin modulating cell death (Chamoux et al., 2002). Notably, aging-induced lamb2 upregulation in endothelial cells impairs adhesion/migration and enhances EndMT (Wagner et al., 2018), whereas fibronectin (FN) and vitronectin (VTN) collectively regulate endothelial cell dynamics, such as migration and proliferation (Rahman et al., 2005). This evidence further underscores the multifaceted role of ECM components in valve development.
Latent TGF-β binding proteins (LTBPs) act as “escort proteins” that complex with TGF-β and sequester it in the ECM. LTBPs interact with integrin proteins (itgb1 and itga1) to modulate ECM-mediated fibrosis (Hinz, 2015); specifically, Ltbp1 also interacts with fibronectin proteins (fn1b and fn1a) to immobilize and store TGF-β1 in the ECM, thereby directly regulating ECM stability and elasticity (Klingberg et al., 2018).
In our bmpr2a/b-knockout zebrafish models, we observed the upregulation of Ltpbs (ltbp3 and ltbp4, Supplementary Figures S8C, D) and ECM–receptor components (fn1a, lamb2, vtna, vtnb, itga1, itgb1b, and ambp) (Figure 7). This was accompanied by the dysregulation of mesenchymal cell-related genes (cdh2 and vim), EndMT-related genes (snail2, cdh1, and cdh17), and valve markers (has2, klf2a, and nfatc1), indicating abnormal EndMT and valve development (Figures 4, 7).
Furthermore, PPI network analysis indicated that vtna, vtnb, itga1, and itgb1b were key regulatory nodes. These nodes potentially govern the expression of downstream targets, including other ECM–receptor components (fn1b, fn1a, lamb2, and ambp), mesenchymal cell-related genes (cdh2 and vim), EndMT-related genes (snail2, cdh1, and cdh17), and valve markers (nfatc1). Collectively, these data indicate that bmpr2a/b regulates ECM–receptor networks via ltbps, thereby driving aberrant valve development (Figure 9).
4.2.2. bmpr2a/b affects valve development via BMP signaling-mediated modulation of the heart rate
It is worth noting that blood flow serves as a critical regulatory factor in cardiac valve development, promoting valve development by activating the transcription factor Klf2a (Fukui et al., 2021). Specifically, during heart valve morphogenesis, the mechanical force generated by blood flow induces the expression of Klf2a in endocardial cells. Once activated, Klf2a orchestrates downstream signaling cascades to participate in valve remodeling, thereby ensuring proper cardiac valve development. In zebrafish, blood flow-induced klf2a expression is significantly upregulated in valve formation regions (such as the atrioventricular canal) (Fukui et al., 2021). Mechanistically, the endocardium senses alterations in blood flow via the mechanosensitive channel Trpv4, which, in turn, controls the transcriptional activation of klf2a (Gálvez-Santisteban et al., 2019).
Notably, cardiac blood flow dynamics are closely linked to heart rate, which is regulated by the cardiac conduction system. The sinoatrial node (SAN), the primary pacemaker of the conduction system, relies on BMP signaling for its development and function. During the formation of the cardiac conduction system, SAN cells exhibit markedly higher expression levels of BMP signaling components (including the ligands BMP2/BMP4 and the downstream transcription activator SMAD9) than the working cardiomyocytes; these components also co-localize with core SAN marker genes such as Tbx3, Shox2, and Hcn4 (Linscheid et al., 2019). Functionally, Bmp2 acts synergistically with the transcription factors Shox2 and Tbx3 to regulate the expression of pacemaker-related genes (e.g., Hcn4 and Cacna1d), which are essential for maintaining the spontaneous electrical activity of SAN cells (Liang et al., 2021). Consistent with this finding, in vitro studies have shown that the cardiac mesoderm stage of human induced pluripotent stem cell (hiPSC) differentiation strongly biases cells toward a SAN-specific transcriptional profile, thereby enhancing pacemaker cell specification (Liu et al., 2020). Moreover, overexpression of Bmp4 alone is sufficient to induce differentiation of hiPSCs into SAN-like pacemaker cells (Wang et al., 2023).
Emerging evidence also indicates crosstalk between BMP signaling and klf2a during cardiac development. During zebrafish embryogenesis, pou5f1, a transcription factor required for the expression of Klf2/4 family members (klf2a, klf2b, and klf17), cooperates with the BMP signaling pathway to activate and maintain klf2a and klf2b expression (Kotkamp et al., 2014). Additionally, endocardial cell proliferation is co-regulated by both blood flow and BMP signaling, whereas the hemodynamically sensitive transcription factor klf2a contributes to the regulation of endocardial cell morphology (Dietrich et al., 2014).
In this study, all three bmpr2a/b mutant genotypes (bmpr2a −/− ;bmpr2b +/+ , bmpr2a +/+ ;bmpr2 −/− , and bmpr2a −/− ;bmpr2b −/− ) exhibited reduced heart rate (Figure 2), accompanied by downregulation of klf2a expression (Figures 4B,H, 7A). These observations collectively indicate that valve malformations in bmpr2a/b mutants may be caused by a secondary decrease in heart rate mediated by a potential BMP signaling–heart rate-hemodynamics–klf2a regulatory axis (Figure 9). However, further experimental validation, such as rescue experiments (e.g., restoring heart rate or klf2a expression in mutants) or mechanistic studies (e.g., assessing BMP-dependent regulation of pacemaker genes in relation to hemodynamic changes), will be necessary to confirm this hypothesis.
Funding Statement
The author(s) declared that financial support was received for this work and/or its publication. This research was funded by the National Natural Science Foundation of China (nos 82370353, 82100321, and 82400414), the Science and Technology Planning Project of Guangdong Province (2022B1212010010), the Marine Economy Development Project of Department of Natural Resources of Guangdong Province (GDNRC(2022)039), and the Guangzhou Science and Technology Plan Project (202201000006).
Footnotes
Edited by: Michael Schubert, UMR7009 Laboratoire de Biologie du Développement de Villefranche sur Mer, France
Reviewed by: Ayano Chiba, Yamagata Daigaku - Iida Campus, Japan
Etienne Lelièvre, UMR5235 Dynamique des interactions membranaires normales et pathologiques (DIMNP), France
Data availability statement
The data supporting the findings of this study are available in online repositories and supplementary materials. The names of the repository/repositories and accession number(s) can be found below: NCBI Sequence Read Archive (SRA) database, accession number: PRJNA1336002.
Ethics statement
The animal studies were approved by the Institutional Ethics Committee of Guangdong Academy of Medical Sciences. The studies were conducted in accordance with the local legislation and institutional requirements. Written informed consent was obtained from the owners for the participation of their animals in this study.
Author contributions
YS: Resources, Funding acquisition, Software, Formal analysis, Writing – review and editing, Validation, Writing – original draft, Data curation, Supervision, Conceptualization, Methodology, Project administration, Investigation, Visualization. YH: Methodology, Investigation, Software, Conceptualization, Writing – original draft, Data curation, Visualization, Formal analysis, Resources, Validation, Project administration. YX: Investigation, Methodology, Writing – review and editing, Supervision, Visualization, Resources, Data curation, Project administration. YL: Formal analysis, Supervision, Methodology, Writing – review and editing, Software, Project administration. YW: Writing – review and editing, Investigation, Visualization, Methodology, Formal Analysis, Supervision. WY: Visualization, Formal analysis, Supervision, Writing – review and editing, Investigation, Software. FL: Supervision, Writing – review and editing, Software. ZJ: Project administration, Validation, Writing – review and editing. YC: Writing – review and editing, Methodology, Software. PZ: Writing – review and editing, Software, Supervision. JZ: Supervision, Funding acquisition, Project administration, Investigation, Conceptualization, Writing – review and editing. XW: Writing – review and editing, Investigation, Validation, Conceptualization, Software, Supervision, Formal analysis, Visualization. XF: Project administration, Supervision, Investigation, Conceptualization, Software, Validation, Writing – review and editing.
Conflict of interest
The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Generative AI statement
The author(s) declared that generative AI was not used in the creation of this manuscript.
Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Supplementary material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fcell.2026.1652622/full#supplementary-material
References
- Ahmad F., Banerjee S. K., Lage M. L., Huang X. N., Smith S. H., Saba S., et al. (2008). The role of cardiac troponin T quantity and function in cardiac development and dilated cardiomyopathy. PLoS One 3, e2642. 10.1371/journal.pone.0002642 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Beppu H., Malhotra R., Beppu Y., Lepore J. J., Parmacek M. S., Bloch K. D. (2009). BMP type II receptor regulates positioning of outflow tract and remodeling of atrioventricular cushion during cardiogenesis. Dev. Biol. 331, 167–175. 10.1016/j.ydbio.2009.04.032 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bergau L., Bengel P., Sciacca V., Fink T., Sohns C., Sommer P. (2022). Atrial fibrillation and heart failure. J. Clin. Med. 11, 2510. 10.3390/jcm11092510 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bhattacharya A., Al-Sammarraie N., Gebere M. G., Johnson J., Eberth J. F., Azhar M. (2021). Myocardial TGFβ2 is required for atrioventricular cushion remodeling and myocardial development. J. Cardiovasc Dev. Dis. 8, 26. 10.3390/jcdd8030026 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bischoff J. (2019). Endothelial-to-Mesenchymal transition. Circ. Res. 124, 1163–1165. 10.1161/circresaha.119.314813 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Boeuf S., Bovée J. V., Lehner B., van den Akker B., van Ruler M., Cleton-Jansen A. M., et al. (2012). BMP and TGFbeta pathways in human central chondrosarcoma: enhanced endoglin and smad 1 signaling in high grade tumors. BMC Cancer 12, 488. 10.1186/1471-2407-12-488 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Calvier L., Chouvarine P., Legchenko E., Hoffmann N., Geldner J., Borchert P., et al. (2017). PPARγ links BMP2 and TGFβ1 pathways in vascular smooth muscle cells, regulating cell proliferation and glucose metabolism. Cell Metab. 25, 1118–1134.e1117. 10.1016/j.cmet.2017.03.011 [DOI] [PubMed] [Google Scholar]
- Camenisch T. D., Spicer A. P., Brehm-Gibson T., Biesterfeldt J., Augustine M. L., Calabro A., Jr., et al. (2000). Disruption of hyaluronan synthase-2 abrogates normal cardiac morphogenesis and hyaluronan-mediated transformation of epithelium to mesenchyme. J. Clin. Invest 106, 349–360. 10.1172/jci10272 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Chamoux E., Narcy A., Lehoux J. G., Gallo-Payet N. (2002). Fibronectin, laminin, and collagen IV as modulators of cell behavior during adrenal gland development in the human fetus. J. Clin. Endocrinol. Metab. 87, 1819–1828. 10.1210/jcem.87.4.8359 [DOI] [PubMed] [Google Scholar]
- Coram R. J., Stillwagon S. J., Guggilam A., Jenkins M. W., Swanson M. S., Ladd A. N. (2015). Muscleblind-like 1 is required for normal heart valve development in vivo . BMC Dev. Biol. 15, 36. 10.1186/s12861-015-0087-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Crocini C., Gotthardt M. (2021). Cardiac sarcomere mechanics in health and disease. Biophys. Rev. 13, 637–652. 10.1007/s12551-021-00840-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Dickson M. C., Slager H. G., Duffie E., Mummery C. L., Akhurst R. J. (1993). RNA and protein localisations of TGF beta 2 in the early mouse embryo suggest an involvement in cardiac development. Development 117, 625–639. 10.1242/dev.117.2.625 [DOI] [PubMed] [Google Scholar]
- Dietrich A. C., Lombardo V. A., Veerkamp J., Priller F., Abdelilah-Seyfried S. (2014). Blood flow and bmp signaling control endocardial chamber morphogenesis. Dev. Cell 30, 367–377. 10.1016/j.devcel.2014.06.020 [DOI] [PubMed] [Google Scholar]
- Du M., Jiang H., Liu H., Zhao X., Zhou Y., Zhou F., et al. (2022). Single-cell RNA sequencing reveals that BMPR2 mutation regulates right ventricular function via ID genes. Eur. Respir. J. 60, 2100327. 10.1183/13993003.00327-2021 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Duchemin A. L., Vignes H., Vermot J. (2019). Mechanically activated piezo channels modulate outflow tract valve development through the Yap1 and Klf2-Notch signaling axis. Elife 8, e44706. 10.7554/eLife.44706 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Elsafadi M., Shinwari T., Al-Malki S., Manikandan M., Mahmood A., Aldahmash A., et al. (2019). Convergence of TGFβ and BMP signaling in regulating human bone marrow stromal cell differentiation. Sci. Rep. 9, 4977. 10.1038/s41598-019-41543-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Fink M., Callol-Massot C., Chu A., Ruiz-Lozano P., Izpisua Belmonte J. C., Giles W., et al. (2009). A new method for detection and quantification of heartbeat parameters in drosophila, zebrafish, and embryonic mouse hearts. Biotechniques 46, 101–113. 10.2144/000113078 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Frump A. L., Datta A., Ghose S., West J., de Caestecker M. P. (2016). Genotype-phenotype effects of Bmpr2 mutations on disease severity in mouse models of pulmonary hypertension. Pulm. Circ. 6, 597–607. 10.1086/688930 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Fukui H., Chow R. W., Xie J., Foo Y. Y., Yap C. H., Minc N., et al. (2021). Bioelectric signaling and the control of cardiac cell identity in response to mechanical forces. Science 374, 351–354. 10.1126/science.abc6229 [DOI] [PubMed] [Google Scholar]
- Gálvez-Santisteban M., Chen D., Zhang R., Serrano R., Nguyen C., Zhao L., et al. (2019). Hemodynamic-mediated endocardial signaling controls in vivo myocardial reprogramming. Elife 8, e44816. 10.7554/eLife.44816 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Grimm M., Haas P., Willipinski-Stapelfeldt B., Zimmermann W. H., Rau T., Pantel K., et al. (2005). Key role of myosin light chain (MLC) kinase-mediated MLC2a phosphorylation in the alpha 1-adrenergic positive inotropic effect in human atrium. Cardiovasc Res. 65, 211–220. 10.1016/j.cardiores.2004.09.019 [DOI] [PubMed] [Google Scholar]
- Guo C., Liu X., Mei Z., Chang M., Li J., Wang B., et al. (2025). AMBP protects against aortic valve calcification by inhibiting ERK1/2 and JNK pathways mediated by FHL3. Theranostics 15, 4398–4415. 10.7150/thno.109182 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hinz B. (2015). The extracellular matrix and transforming growth factor-β1: tale of a strained relationship. Matrix Biol. 47, 54–65. 10.1016/j.matbio.2015.05.006 [DOI] [PubMed] [Google Scholar]
- Hong K. H., Lee Y. J., Lee E., Park S. O., Han C., Beppu H., et al. (2008). Genetic ablation of the BMPR2 gene in pulmonary endothelium is sufficient to predispose to pulmonary arterial hypertension. Circulation 118, 722–730. 10.1161/circulationaha.107.736801 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Huang M., Jiao J., Wang J., Xia Z., Zhang Y. (2018). Characterization of acrylamide-induced oxidative stress and cardiovascular toxicity in zebrafish embryos. J. Hazard Mater 347, 451–460. 10.1016/j.jhazmat.2018.01.016 [DOI] [PubMed] [Google Scholar]
- Huang K., Wu L., Gao Y., Li Q., Wu H., Liu X., et al. (2022). Transcriptome sequencing data reveal LncRNA-miRNA-mRNA regulatory network in calcified aortic valve disease. Front. Cardiovasc Med. 9, 886995. 10.3389/fcvm.2022.886995 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Iwasa T., Urasaki A., Kakihana Y., Nagata-Akaho N., Harada Y., Takeda S., et al. (2023). Computational and experimental analyses for pathogenicity prediction of ACVRL1 missense variants in hereditary hemorrhagic Telangiectasia. J. Clin. Med. 12, 5002. 10.3390/jcm12155002 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Jiao K., Kulessa H., Tompkins K., Zhou Y., Batts L., Baldwin H. S., et al. (2003). An essential role of Bmp4 in the atrioventricular septation of the mouse heart. Genes Dev. 17, 2362–2367. 10.1101/gad.1124803 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kern C. B. (2021). Excess provisional extracellular matrix: a common factor in bicuspid aortic valve Formation. J. Cardiovasc Dev. Dis. 8, 92. 10.3390/jcdd8080092 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Klingberg F., Chau G., Walraven M., Boo S., Koehler A., Chow M. L., et al. (2018). The fibronectin ED-A domain enhances recruitment of latent TGF-β-binding protein-1 to the fibroblast matrix. J. Cell Sci. 131 (5), jcs201293. 10.1242/jcs.201293 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kotkamp K., Mössner R., Allen A., Onichtchouk D., Driever W. (2014). A Pou5f1/Oct4 dependent Klf2a, Klf2b, and Klf17 regulatory sub-network contributes to EVL and ectoderm development during zebrafish embryogenesis. Dev. Biol. 385, 433–447. 10.1016/j.ydbio.2013.10.025 [DOI] [PubMed] [Google Scholar]
- Kovacic J. C., Mercader N., Torres M., Boehm M., Fuster V. (2012). Epithelial-to-mesenchymal and endothelial-to-mesenchymal transition: from cardiovascular development to disease. Circulation 125, 1795–1808. 10.1161/circulationaha.111.040352 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kremer J. L., Santiago V. F., Bongiovani Rodrigues F., Auricino T. B., Freitas D. H. O., Palmisano G., et al. (2024). Extracellular matrix protein signatures of the outer and inner zones of the rat adrenal cortex. J. Proteome Res. 23, 3418–3432. 10.1021/acs.jproteome.4c00071 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lan B., Liu Z., Bai J., Tang J., Zhang J. (2025). Restrictive cardiomyopathy due to new mutation in the ACTN2 gene: a case report. Eur. Heart J. Case Rep. 9, ytaf421. 10.1093/ehjcr/ytaf421 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Leavesley D. I., Kashyap A. S., Croll T., Sivaramakrishnan M., Shokoohmand A., Hollier B. G., et al. (2013). Vitronectin--master controller or micromanager? IUBMB Life 65, 807–818. 10.1002/iub.1203 [DOI] [PubMed] [Google Scholar]
- Lee J. Z., Cha Y. M. (2021). Atrial fibrillation and heart failure: a contemporary review of current management approaches. Heart rhythm. 2, 762–770. 10.1016/j.hroo.2021.11.006 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Li B., Guo Y., Zhan Y., Zhou X., Li Y., Zhao C., et al. (2021). Cardiac overexpression of XIN prevents dilated cardiomyopathy caused by TNNT2 ΔK210 mutation. Front. Cell Dev. Biol. 9, 691749. 10.3389/fcell.2021.691749 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Liang D., Xue J., Geng L., Zhou L., Lv B., Zeng Q., et al. (2021). Cellular and molecular landscape of Mammalian sinoatrial node revealed by single-cell RNA sequencing. Nat. Commun. 12, 287. 10.1038/s41467-020-20448-x [DOI] [PMC free article] [PubMed] [Google Scholar]
- Linscheid N., Logantha S., Poulsen P. C., Zhang S., Schrölkamp M., Egerod K. L., et al. (2019). Quantitative proteomics and single-nucleus transcriptomics of the sinus node elucidates the foundation of cardiac pacemaking. Nat. Commun. 10, 2889. 10.1038/s41467-019-10709-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Liu F., Fang Y., Hou X., Yan Y., Xiao H., Zuo D., et al. (2020). Enrichment differentiation of human induced pluripotent stem cells into sinoatrial node-like cells by combined modulation of BMP, FGF, and RA signaling pathways. Stem Cell Res. Ther. 11, 284. 10.1186/s13287-020-01794-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Liu W., Zeng M., Zhan C., Wen J., Wang J. (2024). Polystyrene nanoplastics exert cardiotoxicity through the notch and wnt pathways in zebrafish (Danio rerio). Sci. Total Environ. 934, 173253. 10.1016/j.scitotenv.2024.173253 [DOI] [PubMed] [Google Scholar]
- Lockhart M. M., Boukens B. J., Phelps A. L., Brown C. L., Toomer K. A., Burns T. A., et al. (2014). Alk3 mediated bmp signaling controls the contribution of epicardially derived cells to the tissues of the atrioventricular junction. Dev. Biol. 396, 8–18. 10.1016/j.ydbio.2014.09.031 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ma J., Sanchez-Duffhues G., Goumans M. J., Ten Dijke P. (2020). TGF-β-Induced endothelial to mesenchymal transition in disease and tissue engineering. Front. Cell Dev. Biol. 8, 260. 10.3389/fcell.2020.00260 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Marian A. J., Braunwald E. (2017). Hypertrophic cardiomyopathy: genetics, pathogenesis, clinical manifestations, diagnosis, and therapy. Circ. Res. 121, 749–770. 10.1161/circresaha.117.311059 [DOI] [PMC free article] [PubMed] [Google Scholar]
- McCulley D. J., Kang J. O., Martin J. F., Black B. L. (2008). BMP4 is required in the anterior heart field and its derivatives for endocardial cushion remodeling, outflow tract septation, and semilunar valve development. Dev. Dyn. 237, 3200–3209. 10.1002/dvdy.21743 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Monteiro R., van Dinther M., Bakkers J., Wilkinson R., Patient R., ten Dijke P., et al. (2008). Two novel type II receptors mediate BMP signalling and are required to establish left-right asymmetry in zebrafish. Dev. Biol. 315, 55–71. 10.1016/j.ydbio.2007.11.038 [DOI] [PubMed] [Google Scholar]
- Newman M. S., Nguyen T., Watson M. J., Hull R. W., Yu H. G. (2017). Transcriptome profiling reveals novel BMI- and sex-specific gene expression signatures for human cardiac hypertrophy. Physiol. Genomics 49, 355–367. 10.1152/physiolgenomics.00122.2016 [DOI] [PMC free article] [PubMed] [Google Scholar]
- O'Donnell A., Yutzey K. E. (2020). Mechanisms of heart valve development and disease. Development 147 (13), dev183020. 10.1242/dev.183020 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Oxtoby E., Jowett T. (1993). Cloning of the zebrafish krox-20 gene (krx-20) and its expression during hindbrain development. Nucleic Acids Res. 21, 1087–1095. 10.1093/nar/21.5.1087 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Peng Y., Li L., Shang J., Zhu H., Liao J., Hong X., et al. (2023). Macrophage promotes fibroblast activation and kidney fibrosis by assembling a vitronectin-enriched microenvironment. Theranostics 13, 3897–3913. 10.7150/thno.85250 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Pfarr N., Szamalek-Hoegel J., Fischer C., Hinderhofer K., Nagel C., Ehlken N., et al. (2011). Hemodynamic and clinical onset in patients with hereditary pulmonary arterial hypertension and BMPR2 mutations. Respir. Res. 12, 99. 10.1186/1465-9921-12-99 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Rahman S., Patel Y., Murray J., Patel K. V., Sumathipala R., Sobel M., et al. (2005). Novel hepatocyte growth factor (HGF) binding domains on fibronectin and vitronectin coordinate a distinct and amplified Met-integrin induced signalling pathway in endothelial cells. BMC Cell Biol. 6, 8. 10.1186/1471-2121-6-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Rowton M., Perez-Cervantes C., Hur S., Jacobs-Li J., Lu E., Deng N., et al. (2022). Hedgehog signaling activates a Mammalian heterochronic gene regulatory network controlling differentiation timing across lineages. Dev. Cell 57, 2181–2203.e2189. 10.1016/j.devcel.2022.08.009 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Shi Y., Li Y., Wang Y., Zhuang J., Wang H., Hu M., et al. (2019). The functional polymorphism R129W in the BVES gene is associated with sporadic tetralogy of fallot in the han Chinese population. Genet. Test. Mol. Biomarkers 23, 601–609. 10.1089/gtmb.2019.0085 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Shi Y., Li Y., Wang Y., Zhu P., Chen Y., Wang H., et al. (2020). BVES downregulation in non-syndromic tetralogy of fallot is associated with ventricular outflow tract stenosis. Sci. Rep. 10, 14167. 10.1038/s41598-020-70806-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Singh A., Bhatt K. S., Nguyen H. C., Frisbee J. C., Singh K. K. (2024). Endothelial-to-Mesenchymal transition in cardiovascular pathophysiology. Int. J. Mol. Sci. 25, 6180. 10.3390/ijms25116180 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Sorensen D. W., van Berlo J. H. (2020). The role of TGF-β signaling in cardiomyocyte proliferation. Curr. Heart Fail Rep. 17, 225–233. 10.1007/s11897-020-00470-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Sossalla S., Vollmann D. (2018). Arrhythmia-induced cardiomyopathy. Dtsch. Arztebl Int. 115, 335–341. 10.3238/arztebl.2018.0335 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Stavropoulos A., Divolis G., Manioudaki M., Gavriil A., Kloukina I., Perrea D. N., et al. (2022). Coordinated activation of TGF-β and BMP pathways promotes autophagy and limits liver injury after acetaminophen intoxication. Sci. Signal 15, eabn4395. 10.1126/scisignal.abn4395 [DOI] [PubMed] [Google Scholar]
- Steed E., Faggianelli N., Roth S., Ramspacher C., Concordet J. P., Vermot J. (2016). klf2a couples mechanotransduction and zebrafish valve morphogenesis through fibronectin synthesis. Nat. Commun. 7, 11646. 10.1038/ncomms11646 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Tang Q., McNair A. J., Phadwal K., Macrae V. E., Corcoran B. M. (2022). The role of transforming growth Factor-β signaling in myxomatous mitral valve degeneration. Front. Cardiovasc Med. 9, 872288. 10.3389/fcvm.2022.872288 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Tzavlaki K., Moustakas A. (2020). TGF-β signaling. Biomolecules 10 (3), 487. 10.3390/biom10030487 [DOI] [PMC free article] [PubMed] [Google Scholar]
- van Heerebeek L., Borbély A., Niessen H. W., Bronzwaer J. G., van der Velden J., Stienen G. J., et al. (2006). Myocardial structure and function differ in systolic and diastolic heart failure. Circulation 113, 1966–1973. 10.1161/circulationaha.105.587519 [DOI] [PubMed] [Google Scholar]
- Wagner J. U. G., Chavakis E., Rogg E. M., Muhly-Reinholz M., Glaser S. F., Günther S., et al. (2018). Switch in laminin β2 to laminin β1 isoforms during aging controls endothelial cell functions-brief report. Arterioscler. Thromb. Vasc. Biol. 38, 1170–1177. 10.1161/atvbaha.117.310685 [DOI] [PubMed] [Google Scholar]
- Wang F., Yin L., Zhang W., Tang Y., Wang X., Huang C. (2023). The method of sinus node-like pacemaker cells from human induced pluripotent stem cells by BMP and wnt signaling. Cell Biol. Toxicol. 39, 2725–2741. 10.1007/s10565-023-09797-7 [DOI] [PubMed] [Google Scholar]
- West J., Fagan K., Steudel W., Fouty B., Lane K., Harral J., et al. (2004). Pulmonary hypertension in transgenic mice expressing a dominant-negative BMPRII gene in smooth muscle. Circ. Res. 94, 1109–1114. 10.1161/01.Res.0000126047.82846.20 [DOI] [PubMed] [Google Scholar]
- West J., Harral J., Lane K., Deng Y., Ickes B., Crona D., et al. (2008). Mice expressing BMPR2R899X transgene in smooth muscle develop pulmonary vascular lesions. Am. J. Physiol. Lung Cell Mol. Physiol. 295, L744–L755. 10.1152/ajplung.90255.2008 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wu C. C., Kruse F., Vasudevarao M. D., Junker J. P., Zebrowski D. C., Fischer K., et al. (2016). Spatially resolved genome-wide transcriptional profiling identifies BMP signaling as essential regulator of zebrafish cardiomyocyte regeneration. Dev. Cell 36, 36–49. 10.1016/j.devcel.2015.12.010 [DOI] [PubMed] [Google Scholar]
- Yang J., Xu X. (2012). α-Actinin2 is required for the lateral alignment of Z discs and ventricular chamber enlargement during zebrafish cardiogenesis. Faseb J. 26, 4230–4242. 10.1096/fj.12-207969 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Yang D., Jian Z., Tang C., Chen Z., Zhou Z., Zheng L., et al. (2024). Zebrafish congenital heart disease models: opportunities and challenges. Int. J. Mol. Sci. 25, 5943. 10.3390/ijms25115943 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zhang Z., Wu K., Ren Z., Ge W. (2020). Genetic evidence for amh modulation of gonadotropin actions to control gonadal homeostasis and gametogenesis in zebrafish and its noncanonical signaling through Bmpr2a receptor. Development 147 (22), dev189811. 10.1242/dev.189811 [DOI] [PubMed] [Google Scholar]
- Zhang Y., Peng R., Wang H. (2022). Identification and genetic analysis of rare variants in myosin family genes in 412 han Chinese congenital heart disease patients. Mol. Genet. Genomic Med. 10, e2041. 10.1002/mgg3.2041 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zhang N., Zhang Y., Xu J., Wang P., Wu B., Lu S., et al. (2023). α-myosin heavy chain lactylation maintains sarcomeric structure and function and alleviates the development of heart failure. Cell Res. 33, 679–698. 10.1038/s41422-023-00844-w [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zhu Y., Yang X., Zu Y. (2022). Integrated analysis of WGCNA and machine learning identified diagnostic biomarkers in dilated cardiomyopathy with heart failure. Front. Cell Dev. Biol. 10, 1089915. 10.3389/fcell.2022.1089915 [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The data supporting the findings of this study are available in online repositories and supplementary materials. The names of the repository/repositories and accession number(s) can be found below: NCBI Sequence Read Archive (SRA) database, accession number: PRJNA1336002.









