Skip to main content
Cardiovascular Research logoLink to Cardiovascular Research
. 2023 Oct 16;119(18):2902–2916. doi: 10.1093/cvr/cvad154

Prdm16 mutation determines sex-specific cardiac metabolism and identifies two novel cardiac metabolic regulators

Jirko Kühnisch 1,2,3,4,, Simon Theisen 5,6,7,8, Josephine Dartsch 9,10,11, Raphaela Fritsche-Guenther 12, Marieluise Kirchner 13,14, Benedikt Obermayer 15, Anna Bauer 16, Anne-Karin Kahlert 17,18,19, Michael Rothe 20, Dieter Beule 21,22, Arnd Heuser 23, Philipp Mertins 24,25, Jennifer A Kirwan 26, Nikolaus Berndt 27,28,29, Calum A MacRae 30, Norbert Hubner 31,32, Sabine Klaassen 33,34,35,36,37,✉,3
PMCID: PMC10874277  PMID: 37842925

Abstract

Aims

Mutation of the PRDM16 gene causes human dilated and non-compaction cardiomyopathy. The PRDM16 protein is a transcriptional regulator that affects cardiac development via Tbx5 and Hand1, thus regulating myocardial structure. The biallelic inactivation of Prdm16 induces severe cardiac dysfunction with post-natal lethality and hypertrophy in mice. The early pathological events that occur upon Prdm16 inactivation have not been explored.

Methods and results

This study performed in-depth pathophysiological and molecular analyses of male and female Prdm16csp1/wt mice that carry systemic, monoallelic Prdm16 gene inactivation. We systematically assessed early molecular changes through transcriptomics, proteomics, and metabolomics. Kinetic modelling of cardiac metabolism was performed in silico with CARDIOKIN. Prdm16csp1/wt mice are viable up to 8 months, develop hypoplastic hearts, and diminished systolic performance that is more pronounced in female mice. Prdm16csp1/wt cardiac tissue of both sexes showed reductions in metabolites associated with amino acid as well as glycerol metabolism, glycolysis, and the tricarboxylic acid cycle. Prdm16csp1/wt cardiac tissue revealed diminished glutathione (GSH) and increased inosine monophosphate (IMP) levels indicating oxidative stress and a dysregulated energetics, respectively. An accumulation of triacylglycerides exclusively in male Prdm16csp1/wt hearts suggests a sex-specific metabolic adaptation. Metabolic modelling using CARDIOKIN identified a reduction in fatty acid utilization in males as well as lower glucose utilization in female Prdm16csp1/wt cardiac tissue. On the level of transcripts and protein expression, Prdm16csp1/wt hearts demonstrate an up-regulation of pyridine nucleotide-disulphide oxidoreductase domain 2 (Pyroxd2) and the transcriptional regulator pre-B-cell leukaemia transcription factor interacting protein 1 (Pbxip1). The strongest concordant transcriptional up-regulation was detected for Prdm16 itself, probably through an autoregulatory mechanism.

Conclusions

Monoallelic, global Prdm16 mutation diminishes cardiac performance in Prdm16csp1/wt mice. Metabolic alterations and transcriptional dysregulation in Prdm16csp1/wt affect cardiac tissue. Female Prdm16csp1/wt mice develop a more pronounced phenotype, indicating sexual dimorphism at this early pathological window. This study suggests that metabolic dysregulation is an early event in the PRDM16 associated cardiac pathology.

Keywords: Cardiomyopathy, Prdm16, Mutation, Metabolism

Graphical Abstract

Graphical Abstract.

Graphical Abstract


Time of primary review: 47 days

1. Introduction

Primary, genetically determined cardiomyopathies comprise a group of heterogenous cardiac diseases that eventually result in heart failure or arrhythmia. Approximately 100 genes have been linked to cardiomyopathy. These most frequently affect the sarcomere, Z-disc, mitochondria, or the regulation of ion channels.1,2 Transcription and splicing may be directly or indirectly disturbed in cardiomyopathies. The PR/SET domain 16 (PRDM16) protein directly affects transcriptional regulation.3 Mutation of the PRDM16 gene causes dilated (DCM) and left ventricular non-compaction cardiomyopathy (LVNC) in patients.4–7 Recently, rare variant association analysis linked LVNC to PRDM16 protein-truncating variants.8 These findings suggest that PRDM16 is a genetic factor that is critical for cardiac function, causing either monogenic cardiomyopathy or other myocardial phenotypes.

The homozygous germline inactivation of Prdm16 in Prdm16csp1/csp1 mice results in a complex phenotype involving several organs, cardiac hypoplasia, and early post-natal lethality.9 More recently, the role of Prdm16 in myocardial development and LVNC was assessed after a homozygous, cardiac-specific inactivation of Prdm16 in Xmlc2Cre;Prdm16flox/flox mice.10 These mice develop cardiac dysfunction and die prematurely, before post-natal Day 7. Previous work showed that during cardiac development, Prdm16 cooperates with the transcription factors T-box 5 (Tbx5) and heart and neural crest derivatives expressed 1 (Hand1) to promote gene programs required for myocardial growth and compaction.10 Prdm16 also suppresses neural gene expression.10 Consequently, its inactivation in Xmlc2Cre;Prdm16flox/flox mice leads to biventricular hypertrabeculation and left ventricular dilatation.10 This established that Prdm16 is critical in orchestrating the transcriptional circuits that determine myocardial maturation during embryonic cardiac development and post-natal function.

PRDM16 had originally been characterized as a determinant for the differentiation, homeostasis, and function of brown/beige adipocytes.11 PRDM16 induces gene programs for the development of brown adipocytes, represses muscle/white adipocyte-specific genes, induces adaptive thermogenesis, and increases energy expenditure.12–15 On a molecular level, these effects are facilitated through its physical interactions with and co-ordination of key transcription factors such as the peroxisome proliferator-activated receptors alpha and gamma (PPARA, PPARG), mediator complex subunit 1 (MED1), and CCAAT enhancer-binding protein delta (CEBPD).12,16,17 Of note, a significant number of these PRDM16 associated proteins serve as critical regulators of fatty acid (FA) metabolism, glucose utilization, and/or cellular respiration.

This study tests the hypothesis that PRDM16 orchestrates cardiac metabolism and has potential roles beyond the known transcriptional functions in cardiac development and homeostasis. We characterize the heart of heterozygous Prdm16csp1/wt mice in depth to assess the impact of monoallelic germline Prdm16 inactivation, the situation seen in patients with PRDM16 associated cardiomyopathy. We explore early molecular events upon Prdm16 inactivation and establish a pre-clinical animal model. We find that Prdm16csp1/wt mice show diminished cardiac performance, altered body composition, but normal survival. On the molecular level, cardiac cells exhibit changes in metabolism, redox balance, and FA/glucose utilization. Overall, this study establishes heterozygous Prdm16csp1/wt mice as a model for early molecular pathomechanistic events in the development of the PRDM16 associated cardiomyopathy.

2. Methods

A detailed material and methods section is provided in the Supplementary material online, Material. The high-throughput sequencing data and proteome data have been made publicly available at the Gene Expression Omnibus (GEO accessionNo. GSE236791) and the Proteomics Identification Database (PRIDE accession No. PXD043601). Other data and study materials are available from the corresponding authors on reasonable request. Primer and antibodies used in this study are available (see Supplementary material online, Tables SI and SII in the Data Supplement). The Prdm16csp1/wt mice (FVB.C-Prdm16csp1/J) were received from Jackson Laboratories, USA (JAX stock #013100). The FVB.C-Prdm16csp1/J strain was originally established by N-ethyl-N-nitrosourea (ENU) mutagenesis inducing a missense C>A mutation at the intronic acceptor splice site of exon 7.9 Maintenance, physiological analysis, and organ collection of Prdm16csp1/wt mice were approved by the Landesamt für Gesundheit und Soziales Berlin (LAGeSo), Germany (G0070/17). Mice were euthanized by isoflurane inhalation and subsequent cervical dislocation. Organs were collected, immediately frozen in liquid nitrogen, and stored at −80°C. All experiments in this work involving the use of animals were monitored and approved by the LAGeSo and the MDC animal facility, according to the German law and the guidelines from Directive 2010/63/EU of the European Parliament.

3. Results

3.1. Germline, heterozygous inactivation of Prdm16 induces mild cardiac dysfunction

In RNA preparations from human tissues, PRDM16 transcripts are most abundant in lung, followed by aorta, adipose tissues, and heart (Figure 1A). Consistent with this, RNA extracts from murine tissue show approximately 10-fold higher Prdm16 expression in lung compared to heart (Figure 1B). Comparing regions of the heart, Prdm16 is abundantly expressed in the right ventricle (RV), left ventricle (LV), and septum but not in the atria (Figure 1C). Potassium voltage-gated channel member 4 (Kcna4) and myosin light chain 2 (Myl2) confirmed atrial and ventricular origin, respectively. To assess the physiological and molecular impact of Prdm16 in the heart, we analysed heterozygous FVB.C-Prdm16csp1/J mice (Prdm16csp1/wt) rather than studying the effects of biallelic gene inactivation, which would not reflect the clinical situation.9 PCR genotyping and Sanger sequencing confirmed the presence of the c.888-3C>A (ENSMUSG00000039410) variant on the DNA level (Figure 1D, Supplementary material online, Figure SIA and B in the Data Supplement). To further validate the impact of the Prdm16 acceptor splice site variant c.888-3C>A (ENSMUST00000030902.12) at the transcriptional level, we performed PCR and targeted high-throughput sequencing of total RNA isolated from different Prdm16wt/wt and Prdm16csp1/wt tissues. These analyses suggest that the Prdm16 acceptor splice site variant c.888-3C>A affects mRNA splicing and produces several splice products. The most abundant splice products truncate Prdm16 proteins after approximately 340 amino acids (Figure 1E and F, for detailed results, see Data Supplement).

Figure 1.

Figure 1

Expression of Prdm16 in the heart of Prdm16csp1/wt mice. (A) Expression analysis reveals high PRDM16 transcript levels in human lung, aorta, adipose tissue (adip.t.), and heart (technical replicate n = 3). Liver, skeletal muscle (sk.m.), and smooth muscle (sm.m.) show low PRDM16 expression. (B) Prdm16 is highly expressed in murine lung tissue, and shows robust levels in the left ventricle (LV) but low expression in skeletal muscle (sm) (n = 3). (C) Prdm16 is robustly expressed in LV, right ventricle (RV), and the septum. The left (LA) and right atrium (RA) does not show considerable Prdm16 expression. Kcna4 and Myl2 transcripts demonstrate atrial and ventricular tissue origin (n = 3). (D) The murine Prdm16 gene comprises 17 exons, and Prdm16csp1/wt mice carry the point mutation c.888-3C>A affecting the acceptor splice site of intron_6–7. (E) PCR genotyping with heart cDNA from heterozygous Prdm16csp1/wt mice generates three products as follows: (i) wild-type fragment (807 bp), (ii) unknown mutant product (∼780 bp, *), and (iii) mutant product without exon 7 (658 bp). (F) The wild-type Prdm16 protein is 1275 amino acids (aa) long. Targeted high-throughput sequencing of the different PCR products identifies four main Prdm16 mutant proteins in Prdm16csp1/wt mice including truncation (mut1, mut2) and in-frame deletion (mut3, mut4) variants (see Supplementary material online, Figures SI and SII in the Data Supplement, for detailed results, see Data Supplement). (G) Quantitative detection of Prdm16 transcript levels with qPCR detectors targeting the exon 7 deletion region shows approximately 40–50% reduced expression. In contrast, PCR detectors targeting exon3–4 and exon14–15 identify increased Prdm16 levels. Analysis was performed on female Prdm16csp1/wt heart tissue (n = 3). (H) Detection of Prdm16 protein was achieved by PRM (parallel-reaction monitoring) using the Prdm16 derived peptide V875-K883. (I) Quantitation of Prdm16 peptide in control and Prdm16csp1/wt lung tissue (n = 4). The ratio of endogenous (light) and standard spike-in (heavy) peptide is shown. Statistical analysis was performed with unpaired t-test (P < 0.05).

Next, we examined the expression of mutant Prdm16 transcripts in the heart. Prdm16 mutant transcripts are expressed at ∼40% lower levels than controls, as established using primer sets that target the mutated exon6–8 region (Figure 1G, Supplementary material online, Figure SIF in the Data Supplement). In contrast, primer sets measuring the overall Prdm16 transcript level (exon3–4, exon14–15) detect increased expression in Prdm16csp1/wt hearts. This suggests that Prdm16 inactivation due to the c.888-3C>A variant up-regulates overall Prdm16 mRNA expression. Levels of Prdm16 protein were assessed with a mass spectrometry-based targeted proteomics approach, measuring and quantifying the abundance of the peptide Prdm16_V875-K883 (Figure 1H). As expected, a ∼50% reduction of the Prdm16_V875-K883 level was observed in Prdm16csp1/wt lung compared to controls (Figure 1I). In cardiac tissue, the Prdm16_V875-K883 detection limit was not reached.

The survival of Prdm16csp1/wt mice is normal until 8 months (Figure 2A). Male and female Prdm16csp1/wt mice exhibit body weight reduction by ∼11% and ∼20%, respectively (Figure 2B, Supplementary material online, Table SIII in the Data Supplement). In female Prdm16csp1/wt mice, the drop in body weight was associated with a reduction in fat content (∼14%) and an increase in relative muscle tissue content (∼8%). Prdm16csp1/wt mice do not show any other abnormality or phenotype such as cleft palate or respiratory problems. Until the age of 8 months, we did not observe premature deaths. Both the absolute and relative heart weights are diminished in male and female Prdm16csp1/wt mice (Figure 2B). We used transthoracic echocardiography to characterize the cardiac physiology of Prdm16csp1/wt mice. Echocardiography indicated mild cardiac hypoplasia and reduced systolic functional parameters such as stroke volume, cardiac output, and ejection fraction (EF) (Figure 2C and D, Supplementary material online, Tables SIVSVI in the Data Supplement) (original echocardiography images Supplementary material online, Figure SIII in the Data Supplement). Other cardiac parameters such as heart rate, systolic/diastolic blood pressure, or electrophysiology are unaffected in Prdm16csp1/wt mice. We found an elevation of plasma levels of brain natriuretic peptide (Bnp) in both sexes, indicating cardiomyocyte stretch with impaired systolic and possibly diastolic LV dysfunction (Figure 2E). Cardiac tissue organization, as assessed by histology and haematoxylin/eosin staining, appeared normal in Prdm16csp1/wt hearts (Figure 2F). Fibrosis was not detected, either by Picro-Sirius red staining or immunostaining of collagen 1 (Col1) and alpha smooth muscle actin (αSma) (Figure 2G, Supplementary material online, Figure SIII in the Data Supplement). Further analyses of Prdm16csp1/wt cardiac tissue with electron microscopy, morphometry, quantitative PCR, and immunostaining identified no abnormalities in sarcomeres (see Supplementary material online, Figure SIV in the Data Supplement, for detailed results, see Data Supplement). The relative mitochondrial area in heart tissue was unaffected. We assessed the cardiomyocyte area histomorphometrically using paraffin embedded heart tissue sections of comparable cross-sectional level after wheat germ agglutinin (WGA) staining. Cardiomyocytes of female Prdm16csp1/wt mice demonstrate a significant reduction of cross-sectional area explaining reduced myocardial mass (Figure 2H). Normal viability, myocardial hypoplasia, and diminished cardiac performance due to monoallelic Prdm16 inactivation suggest that Prdm16csp1/wt mice are a suitable model to explore early pathophysiological changes in PRDM16 associated cardiomyopathy.

Figure 2.

Figure 2

Diminished cardiac performance after Prdm16 inactivation. (A) Survival of male and female Prdm16csp1/wt mice is normal until the age of 8 month (n > 13 each group). (B) Eight-month-old Prdm16csp1/wt mice of both sexes have a reduced absolute body weight. Normalization against tibia length demonstrated a diminished relative heart and LV weight in Prdm16csp1/wt mutants (n > 13 each group). (C) M-mode images illustrate the heart phenotype in Prdm16csp1/wt mice as assessed with echocardiography. (D) At the age of 8 months, Prdm16csp1/wt mice of both sexes have diminished cardiac function as illustrated by stroke volume, cardiac output, and ejection fraction (EF) (n > 12 each group). Full echocardiography data are available in Supplementary material online, Tables SIVSVI in the Data Supplement. (E) Plasma brain natriuretic peptide (Bnp) levels were determined with ELISA (n > 5 each group). (F) Histological analysis with H&E staining reveals normal tissue organization in female Prdm16csp1/wt hearts. Scale bars in E and F are 500 µm (full heart) and 50 µm (inset). (G) Histological staining for fibrosis with Picro-Sirius red is negative in female Prdm16csp1/wt heart tissue. (H) The cell area of female heart muscle (cross sections) stained with wheat germ agglutinin (WGA) is significantly reduced (n = 5, each n includes >300 cells). Nuclei were stained with DAPI. Scale bar is 20 µm. Statistical analysis was performed with unpaired t-test (P < 0.05).

3.2. Moderate transcriptional dysregulation in Prdm16csp1/wt hearts

Because Prdm16 is a transcriptional regulator, we performed transcriptional profiling using RNAseq to compare heart tissue of male and female Prdm16csp1/wt mice with corresponding controls. Comparing female to male control heart tissue, we found 51 up-regulated and 92 down-regulated genes, applying an absolute log2 fold change (LFC) threshold > 0.5 (Figure 3A). Male Prdm16csp1/wt mice showed 12 up-regulated and 16 down-regulated genes compared to male controls. Female Prdm16csp1/wt mice revealed 55 up-regulated and 35 down-regulated genes compared to controls. Transcriptional profiling showed that Prdm16 underwent the most significant up-regulation in males and females, suggesting an autoregulatory control of expression (Figure 3B and C). Other transcripts of the PRDM gene family did not exhibit changes in expression (see Supplementary material online, Figure SVA and B in the Data Supplement).

Figure 3.

Figure 3

Transcriptome analysis of Prdm16csp1/wt heart tissue. (A) Transcriptome analysis with RNAseq of Prdm16csp1/wt LV shows in male 28 and in female 90 differentially regulated genes compared to controls. Analysis of male vs. female control hearts identifies 143 differentially regulated transcripts. Analysed biological replicates are n = 4–6. (B and C) Bioinformatic filtering ranked the normalized log2 cpk according the absolute log2 fold change (LFC) after elimination of regulated targets with an adjusted P-value (padj) < 10−2. Scatterplots show the LFC against mean expression for the contrast Prdm16csp1/wt (het) vs. controls (wt) in male (B) or female (C) heart. The top 10 differentially regulated genes (adj. P < 0.01) are highlighted and labelled. (D) Summary of top 20 up- and down-regulated genes in male (upper panel) and female (lower panel) hearts. Expression of selected genes in cardiac cell types is annotated according to the colour code. Functional association with transcription (T), metabolism (M), and immune response (I) is shown for relevant genes. (E) Scatterplot shows the LFC detected in A and B against each other. Genes with concordant changes (abs LFC > 0.25) are highlighted in green, and genes with discordant changes (top 10; adj. P < 0.01) are highlighted in red. The overall correlation is R = −0.11 (n = 21 276). (F) Gene ontology (GO) network was constructed with GOnet18 by using the male and female TOP20 up- and down-regulated genes in Prdm16csp1/wt hearts. GO terms response to lipids and response to oxygen-containing compounds show strongest association. (G) Validation of RNAseq expression data for Pbxip1 and Pyroxd2 was performed with qPCR using whole RNA extracts from heart and skeletal muscle. Pbxip1 and Pyroxd2 expression is increased in hearts from Prdm16csp1/wt mice of both sexes. (H) Hba-a1 and Hbb-bs expression is diminished in male Prdm16csp1/wt hearts.

Next, we examined the top 20 up- and down-regulated genes for males and females. In male Prdm16csp1/wt mice, we observed up-regulation for MBL associated serine protease 2 (Masp2), synapsin II (Syn2) a coat protein of clathrin-coated vesicles, and UbiA prenyltransferase domain-containing 1 (Ubiad1) controlling coenzyme Q10 synthesis (Figure 3D). We detected decreased levels of transcripts for synuclein alpha (Snca), haemoglobin alpha adult chain 1 (Hba-a1), and haemoglobin subunit beta (Hbb-ba). Hba-a1 and Hbb-ba supply/control intracellular oxygen and become differentially regulated upon beta-adrenergic activation in a CaM kinase II dependent manner.19 Female Prdm16csp1/wt cardiac tissue showed up-regulation of the extra cellular matrix CUB domain-containing protein 1 (Cdcp1), ladinin (Lad1) involved in basement membrane organization, the cell adhesion protein spondin 2 (Spon2), nuclear receptor subfamily 1, group D, member 1 (Nr1d1), a transcriptional repressor co-ordinating metabolic pathways, and nicotinamide riboside kinase 2 (Nmrk2) regulating laminin matrix deposition. Aldehyde dehydrogenase family 3, subfamily A1 (Aldh3a1) and gastrokine 3 (Gkn3) showed strongest down-regulation in female Prdm16csp1/wt cardiac tissue. The top 20 genes were tested for their cellular expression in heart tissue (www.proteinatlas.org). Most genes showed a broad expression in cardiomyocytes, endothelial cells, fibroblasts, immune cells, and smooth muscle cells. Thus, no enrichment of cell lineage-specific genes was found. The majority of dysregulated genes in male and female Prdm16csp1/wt cardiac tissue is associated with transcription (T), metabolism (M), and indirect/direct immune response (I). Next, we evaluated the top 20 up- and down-regulated transcripts from male and female Prdm16csp1/wt hearts with sex-specific transcription pattern in rat cardiomyocytes.20 This analysis revealed that Pbxip1 shows significant higher levels in females. Moreover, the transcripts of activity regulated cytoskeletal-associated protein (Arc), Jun B proto-oncogene (Junb), Nr1d1, period circadian clock 1 (Per1) appeared more abundant in female cardiomyocytes, while the transcripts centromere protein F (Cenpf), antigen identified by monoclonal antibody Ki 67 (Mki67), collagen 1 a1 (Col1a1), and collagen 3 a1 (Col3a1) were more abundant in male cardiomyocytes.

Concordant and discordant changes in males vs. females were assessed with LFC significance threshold of >0.25 and <−0.25, respectively. The strongest concordant up-regulated genes in Prdm16csp1/wt hearts were Prdm16, Lad1, Ubiad1, and the pre-B-cell leukaemia transcription factor interacting protein 1 (Pbxip1) (Figure 3E). We examined whether there was a systematic dysregulation of critical cardiac genes using the harmonizome gene set congenital heart disease. This did not indicate a consistent, significant dysregulation of cardiac-specific transcripts (see Supplementary material online, Figure SVC in the Data Supplement). Differentially expressed genes from Prdm16csp1/wt hearts (TOP5 up- and down-regulated genes) and known PRDM16 interacting genes (physical interaction, transcriptional targets, transcriptional complex component) were tested for dysregulation in a dataset obtained from human DCM patients.21 From over 60 known PRDM16 targets, we found that PPARA, MED1, and CEBPD were dysregulated in the human DCM screen (see Supplementary material online, Table SVII in the Data Supplement). Moreover, the chemotactic factor 2 (Ccl2) was dysregulated in DCM patients and in male Prdm16csp1/wt mice. Sex-specific gene expression validated correct technical procedures of RNAseq Prdm16csp1/wt mice analysis (see Supplementary material online, Figure SVD in the Data Supplement). Next, we generated a gene ontology (GO) network using the male and female TOP20 up- and down-regulated genes in Prdm16csp1/wt hearts (GOnet).18 We found the strongest functional association of dysregulated genes in Prdm16csp1/wt hearts for the GO terms response to lipids and response to oxygen-containing compounds (Figure 3F, Supplementary material online, Figure SVE in the Data Supplement). We verified up-regulated expression of Pbxip1 and Pyroxd2 in Prdm16csp1/wt hearts using qPCR (Figure 3G). Normal Pbxip1 and Pyroxd2 transcript levels in skeletal muscle suggests a cardiac-specific transcriptional response. Down-regulation of Hba-a1 and Hbb-ba was also confirmed in male Prdm16csp1/wt hearts by qPCR (Figure 3H). Thus, Prdm16csp1/wt hearts show moderate, sex-specific transcriptional dysregulation, with Prdm16, Lad1, Ubiad1, and Pbxip1 representing the most strongly regulated transcripts. GO and individual transcript evaluation suggest an impact on metabolic processes after monoallelic Prdm16 inactivation.

3.3. Proteome analysis of Prdm16csp1/wt hearts reveals an up-regulation of Pbxip1 and Pyroxd2

To validate our findings from the transcriptional analysis and to assess cardiac tissue protein expression, we performed a global proteomic analysis of cardiac tissue. Consistent with our findings from RNAseq, male Prdm16csp1/wt cardiac tissue exhibited fewer differences from controls than female samples. Of the 3847 proteins identified in total, 3314 were used for quantitation. Sample identity was confirmed by levels of expression of the male-specific DEAD box helicase 3, Y-linked (Ddx3y) and eukaryotic translation initiation factor 2, subunit 3, structural gene Y-linked (Eif2s3y). The Prdm16 protein was not detected, which can be explained by very low abundance, below the limit of detection. The most significant differences in protein expression were observed between male and female cardiac tissues (165 proteins with FDR < 5%, data not shown). A pairwise evaluation of control and Prdm16csp1/wt proteome data from male cardiac tissue using a P-value cut-off 0.01 showed the up-regulation of fermitin family member 2 (Fermt2), coatomer protein complex, subunit zeta 2 (Copz2), and pyridine nucleotide-disulphide oxidoreductase domain 2 (Pyroxd2) (Figure 4A). Substantial down-regulation was observed for c-src tyrosine kinase (Csk), translocase of inner mitochondrial membrane 10B (Timm10b), and collagen type XVIII, alpha 1 (Col18a1) proteins. A pairwise evaluation of proteome data from female cardiac tissue showed the strongest up-regulation for Pyroxd2, pyruvate dehydrogenase kinase, isoenzyme 4 (Pdk4), and pre-B-cell leukaemia transcription factor interacting protein 1 (Pbxip1) in Prdm16csp1/wt mice (Figure 4B). The strongest down-regulation was detected for cystic fibrosis transmembrane conductance regulator (Cftr), WNK lysine deficient protein kinase 1 (Wnk1), and huntingtin interacting protein 1 (Hip1).

Figure 4.

Figure 4

Proteome comparison of Prdm16csp1/wt cardiac tissue. Volcano plots for Prdm16csp1/wt/control pairwise comparisons with log2 ratio (x-axis) and P-value (y-axis) of male hearts (A), female hearts (B), and combined analysis of male + female hearts (C). Colouring indicates significantly altered proteins (threshold dashed grey line, P-value < 0.01), and * highlights highly significantly different proteins with P-value < 0.0001. (D) Heat map of all regulated proteins (P-value < 0.01, abs log2 ratio > 0.5) using z-scored values of group median intensity. Pre-B-cell leukaemia transcription factor interacting protein 1 (Pbxip1) and pyridine nucleotide-disulphide oxidoreductase domain 2 (Pyroxd2) are consistently increased in male and female Prdm16csp1/wt mice with P-value < 0.0001. Analysed biological replicates are n = 4 in each group. (E) Western blot analysis shows protein expression of selected mitochondrial proteins. (F) Quantification of western blot data showing mitochondrial protein levels. Analysed biological replicates are n > 4. Statistical analysis was performed with unpaired t-test, * indicates P < 0.05.

To further assess Prdm16 genotype driven differences, we performed also a pairwise evaluation of combined male and female groups (P-value cut-off 0.01). In total, we identified 53 up- or down-regulated proteins (Figure 4C, Supplementary material online, Figure SVI in the Data Supplement). Pyroxd2, Pbxip1, and ribosomal protein L30 (Rpl30) appeared as the strongest concordantly up-regulated proteins in Prdm16csp1/wt cardiac tissue. The strongest concordant down-regulation was found for Cftr, Col18a1, and hexokinase 1 (Hk1) in Prdm16csp1/wt cardiac tissue. By adding an additional filter (abs log2 ratio > 0.5), the top regulated proteins (n = 18) were selected (Figure 4D). Among these, Pyroxd2 and Pbxip1 represent the two most significantly regulated candidates in Prdm16csp1/wt cardiac tissue (P-value < 0.0001). Pyroxd2 is a critical regulator of hepatic mitochondrial function. Pyroxd2 interacts with mitochondrial complex IV (CIV) and appears consistently up-regulated in Prdm16csp1/wt hearts on both transcript and protein levels.22 Pbxip1 interacts with transport as well as regulatory proteins and indirectly affects transcription.23 Global proteome data did not show differential expression of mitochondrial transport proteins and respiratory chain complexes (see Supplementary material online, Figure SVII in the Data Supplement). Expression analysis of mitochondrial markers reveals normal expression of heat shock protein 60 (Hsp60), mitochondrial import receptor subunit Tom20 homologue (Tom20), or succinate dehydrogenase a (Sdha) (Figure 4E and F). Of note, protein levels of cytochrome c oxidase subunit 1 (Mt-Co1) and cytochrome c oxidase subunit 4 isoform 1 (Cox4i1), two components of the mitochondrial CIV, appear significantly diminished. Proteome data for sarcomere components, glycolysis, and amino acid metabolism did not show differential expression (see Supplementary material online, Figure SVIII in the Data Supplement). Altogether, the protein expression analysis identifies the specific dysregulation of the mitochondrial CIV proteins Pyroxd2, Mt-Co1, Cox4i1, and the transcriptional regulator Pbxip1.

3.4. Altered metabolism in Prdm16csp1/wt cardiac tissue

Because our expression analysis indicated that Prdm16 was likely affecting metabolism in cardiac tissue, we analysed central carbon metabolites in Prdm16csp1/wt cardiac tissue using gas chromatography-mass spectrometry (GC-MS). The measured values are presented as log2 from ratio of mean of the normalized peak areas Prdm16csp1/wt/controls (values > 0.2, blue and values < −0.2, red). Overall, we detected a diminishment of several metabolites (log2 ratios Prdm16csp1/wt/controls) for all of the metabolic processes we assessed (Figure 5A). We observed reductions of amino acid, glycerol, pentose phosphate pathway (PPP), glycolysis, tricarboxylic acid cycle (TCA), and nucleobase metabolism in Prdm16csp1/wt cardiac tissue. An analysis of individual metabolites in female Prdm16csp1/wt cardiac tissue revealed statistically significant reductions for glycerol-3-phosphate, phosphoenolpyruvic acid, succinic acid, and 3-hydroxy butanoic acid. Combining the analysis of female and male cardiac tissue, we identified significant reductions of phosphoenolpyruvic acid, pyruvic acid, and ribose-5-phosphate in Prdm16csp1/wt hearts. Because an interpretation of individual metabolites is difficult, we assessed the pathway profiles of central carbon metabolites through univariate analysis. This method counts each increased/diminished metabolite as an ordinary number. Combining the pathway analysis using female and male values identified a significant reduction of amino acid, glycolysis, glycerol, and TCA metabolism in Prdm16csp1/wt hearts (Figure 5B).

Figure 5.

Figure 5

Altered metabolism in Prdm16csp1/wt cardiac tissue. (A) Normalized central carbon metabolite counts are presented as log2 value of the mean of normalized peak area ratio Prdm16csp1/wt/controls of males, females, and combination of both sexes. In female Prdm16csp1/wt LV tissue, broad suppression of several metabolic pathways was observed. In male Prdm16csp1/wt LV tissue, a similar but less pronounced reduction was detected. Statistical analysis of individual metabolites was performed with non-parametric Wilcoxon Rank Sum test, * indicates P < 0.05. (B) Univariate analysis reveals in cardiac tissue of Prdm16csp1/wt mice significant reduction of the amino acid, glycolysis, glycerol, and tricarboxylic acid cycle (TCA) metabolism using combined male and female data. Divergent metabolism of male and female animals was observed for amino acid metabolism, glycolysis, and TCA cycle. (C) Lipid analysis was performed with LC-MS using the lipidizer kit (Sciex). Global lipid analysis and evaluation as log2 value of the intensity ratio Prdm16csp1/wt/controls reveal normal levels for most lipid classes. Strongest regulation was observed for triacylglycerol (TAG) in male Prdm16csp1/wt hearts. The number (n) of validly detected lipids per class is indicated. (D) Selected neutral lipids and sphingolipids critical for the heart, lipids altered in Prdm16csp1/wt mice, and lipids previously associated with heart function (Tham et al.,24  Wittenbecher et al.25) are presented for Prdm16csp1/wt cardiac tissue of both sexes and in combination. Values for phospholipids are available in Supplementary material online, Figure SIX in the Data Supplement. Analysed biological replicates for all metabolic analysis are n = 4–6. (E) Signalling activity of the mitogen-activated protein kinase (MAPK) and mTOR pathway was assessed with the Milliplex phosphoprotein magnetic bead system and revealed diminished phosphorylation of insulin receptor (Insr_Tyr1162-1163), phosphatase and tensin homologue (Pten_Ser380), and Akt serine/threonine kinase 2 (Akt_Ser473) in female Prdm16csp1/wt mice. Analysed biological replicates for all metabolic analysis are n = 4–6. Statistical analysis of selected lipids was performed with non-parametric Wilcoxon Sum Rank test, * indicates P < 0.05. Colouring indicates reduction (red) or increase (blue) of the log2 of ratio by −0.2 or 0.2, respectively.

The adult heart mainly relies on FA oxidation as its primary substrate, so we next explored lipid metabolism with liquid chromatography-mass spectrometry (LC-MS) in depth. Values are presented as log2 from ratio Prdm16csp1/wt/controls (values > 0.2, blue and values < −0.2, red). Our evaluation of lipid classes did not reveal any significant dysregulation. The strongest changes were observed in male Prdm16csp1/wt hearts for triacylglycerol compounds (TAG; increase), dihydroceramides (DCER; reduction), and hexosylceramides (HCER; reduction) (Figure 5C). Currently, little is known about the dysregulation of individual lipid classes in early cardiac dysfunction.24,25 Individual lipids are presented as log2 of ratio Prdm16csp1/wt/controls. Evaluation of accumulated lipid classes appears widely normal. However, a few individual lipids were dysregulated (see Supplementary material online, Figure SIXA in the Data Supplement). Important FAs such as oleic, linoleic, α-linolenic, and arachidonic acids show moderate changes (Figure 5D). Several diacylglycerols (DAG) appear strongly reduced in Prdm16csp1/wt hearts: DAG(16:1/18:0), for instance, was found to be altered in a study assessing lipid profiles in human heart failure.25 In contrast, DAG(18:1/20:4) was significantly altered in lipidomic profiling of murine hearts after exercise or pressure overload, but was normal in Prdm16csp1/wt hearts.24 There was a significant enrichment of TAG47:2-FA18:2, TAG50:4-FA20:4, and TAG51:4-FA18:3 in males and somewhat lower levels in female Prdm16csp1/wt cardiac tissue.

The sphingolipids sphingomyelin SM(14:0), dihydroceramide DCER(16:0), and ceramide CER(22:1) exhibited the strongest reduction in males. Lower levels of the hexosylceramide HCER(d18:1/16:0) were found in the hearts of both Prdm16csp1/wt sexes. Several protective and risk predictive sphingolipids identified by Wittenbecher et al.25 were unaffected in Prdm16csp1/wt mice. Global levels of the cardiac phospholipids phosphatidylcholine (PC) and phosphatidylethanolamine (PE) were unaffected (Figure 5C). Individual PC and PE species were consistently higher [e.g. PC(18:2/18:3), PE(17:0/22:5), and PE(P-18:0/18:0)] or lower [e.g. PC(18:1/16:1), PE(P-18:1/18:1), and PE(P-18:1/18:2)] in Prdm16csp1/wt hearts of both sexes (see Supplementary material online, Figure SIXB in the Data Supplement). The level of cardiolipin [CA(18:2(4)], a phospholipid critical for mitochondrial function, appeared moderately elevated in male Prdm16csp1/wt hearts (Figure 5D). In summary, global lipid metabolism is altered in male Prdm16csp1/wt hearts, with an accumulation of TAG.

Cardiac metabolism is controlled by the mitogen-activated protein kinase (MAPK) and mechanistic target of Rapamycin (mTOR) pathways. Using the Milliplex phosphoprotein magnetic bead system, we tested the phosphorylation level of key proteins from these pathways. Female Prdm16csp1/wt hearts exhibited a significant phosphorylation inactivation for insulin receptor (Insr_Tyr1162-1163), phosphatase and tensin homologue (Pten_Ser380), and Akt serine/threonine kinase 2 (Akt_Ser473) (Figure 5E). We also found an increase of phosphorylation activation of mammalian Target of Rapamycin (Mtor_Ser2448) and tuberin (Tsc2_Ser939). Thus, diminished phosphorylation of the Insr/Akt pathway activates mTOR signalling and cardiac metabolism adapts accordingly. Altogether, Prdm16csp1/wt hearts show multiple, substantial metabolic changes suggesting that the inactivation of Prdm16 affects cardiac metabolism.

3.5. Tissue energetics and production of protective lipids in Prdm16csp1/wt hearts

To further explore the consequences of imbalanced cardiac metabolism in Prdm16csp1/wt mice, we tested the steady-state levels of important cardiac metabolic intermediates, redox molecules, and eicosanoids. Global adenosine triphosphate (ATP) levels were unaffected in Prdm16csp1/wt cardiac tissue (Figure 6A, Supplementary material online, Table SVIII in the Data Supplement). However, the ratio of adenosine monophosphate to ATP (AMP/ATP) was increased in female Prdm16csp1/wt hearts. AMP is a molecule that is critical for sensing metabolic stress conditions, and the increased AMP/ATP ratio suggests an abnormal energy state in Prdm16csp1/wt cardiac tissue. We also detected increases in the levels of absolute and relative inosine monophosphate (IMP) in both male and female Prdm16csp1/wt hearts (Figure 6B). IMP is the key molecule in purine metabolism and a sensitive measure of ATP turnover.27 The level of hypoxanthine, which serves as precursor and degradation product of IMP, was elevated in male Prdm16csp1/wt hearts. The ratio of reduced to oxidized nicotinamide adenine dinucleotide (NADH/NAD+), which serves as a central hydride donor for oxidative phosphorylation and many other redox reactions,28 was increased in female Prdm16csp1/wt hearts (Figure 6C). The ratio of reduced to oxidized glutathione (GSH/GSSG) was diminished in female Prdm16csp1/wt hearts, suggesting accelerated cellular GSH consumption and redox imbalance (Figure 6D). Levels of creatine, phosphor-creatine/creatine, and acetyl-CoA appeared normal. The level of 4-hydroxynonenal (4-HNE), a marker of lipid peroxidation, was unaffected. These findings suggest accelerated ATP turnover and oxidative stress but no lipid peroxidation after Prdm16 inactivation, particularly in female Prdm16csp1/wt hearts.

Figure 6.

Figure 6

Nutrient metabolism in Prdm16csp1/wt cardiac tissue. (A) Assessment of metabolites critical for energy metabolism using LV tissue and LC-MS. Normalized values are shown for adenosine triphosphate (ATP) and the ratio of adenosine monophosphate (AMP) vs. ATP (AMP/ATP). Analysed biological replicates are n = 4–6 for A to D. (B) The ratio of inosine monophosphate (IMP) vs. ATP (IMP/ATP) is increased in Prdm16csp1/wt hearts. (C) The ratio of reduced vs. oxidized nicotinamide adenine dinucleotide (NADH/NAD+) is increased in female Prdm16csp1/wt hearts. (D) Oxidative capacity of cardiac tissues was assessed with the ratio of reduced vs. oxidized glutathione (GSH/GSSG). Female Prdm16csp1/wt hearts show a significantly reduced GSH/GSSG ratio. (E) Eicosanoids were measured in male Prdm16csp1/wt hearts with LC/ESI-MS-MS. Data are presented as log2 Prdm16csp1/wt/controls ratio with down- or up-regulation as black or grey bars, respectively. All epoxyeicosatrienoic (EET) and dihydroxyeicosatrienoic (DHET) acids are increased in Prdm16csp1/wt cardiac tissue. Corresponding absolute measurements are available in Supplementary material online, Table SVIII in the Data Supplement. Analysed biological replicates are n > 6. (F) Modelling of major cardiac metabolic processes occurred with CARDIOKIN126 using protein expression data. Differences in maximal substrate utilization for fatty acids (FA), glucose, lactate, and branched chain amino acids (bcaa). Box plots show median and 25% quartile. Dots depict maximal capacities for individual animals. (G) Individual protein impact for FA and glucose metabolism was correlated for carnitine palmitoyltransferase 2 (Cpt2), acetyl-CoA acyltransferase 2 (Acaa2), and hexokinase 1 (Hk1) using linear regression analysis of the maximal substrate utilization vs. protein abundance (dashed lines indicate confidence interval, 95%). Box plots show median and 25% quartile. Dots depict Cpt2, Acaa2, and Hk1 maximal capacities for individual animals. Statistical analysis of individual metabolites and processes was performed with unpaired t-test, * indicates P < 0.05. Analysed biological replicates are n = 4–6.

Aside from their functions as a source of nutrition, FAs serve as reactants for biosynthesis of hydroxyeicosatetraenoic acids (HETE) and epoxyeicosatrienoic acids (EET).29,30 All HETE species, which are synthesized from arachidonic acid by lipoxygenases (LOX), were normal in male Prdm16csp1/wt cardiac tissue (Figure 6E, Supplementary material online, Table SIX in the Data Supplement). 20-HETE, which is synthesized from arachidonic acid by cytochrome P450 (CYP), was also unaffected. All the individual EETs we tested, which originate from CYP activity, and the total amount of EETs were significantly increased. Consistently, the water soluble dihydroxyeicosatrienoic acids (DHET), which represent the corresponding EET hydrolyzation products, also exhibited significant increase. We also found higher levels of the anti-inflammatory 19,20-epoxydocosapentaenoic acid (19,20-EDP) and 17,18-epoxyeicosatetraenoic acid (17,18-EEQ). These observations suggest an activation of CYP-mediated bioactive, lipid production (EETs and 19,20-EDP) in male Prdm16csp1/wt cardiac tissue.

To globally assess metabolism in Prdm16csp1/wt cardiac tissue, we modelled major metabolic pathways using CARDIOKIN1 in silico. As input, we used quantitative data regarding the expression of metabolically important proteins as measured with LC-MS/MS (Figure 4). The maximal utilization rates calculated for of the given metabolic condition are upper estimates that will probably not be reached under physiological conditions. However, these maximal utilization rates allow for an estimation of the capacity under such conditions. The maximum rates for the utilization of FA and glucose were different in cardiac tissue of male and female control hearts. Females had a lower capacity for FA utilization but higher for glucose compared to male controls (Figure 6F). In addition, the maximum rate for the utilization of lactate was lower in female controls. In male Prdm16csp1/wt cardiac tissue, the maximum use of FA decreased but was unaffected in females. In contrast, maximum use of glucose was diminished in female Prdm16csp1/wt cardiac tissue, while it was unaffected in the males. The maximum utilization of lactate increased in female Prdm16csp1/wt cardiac tissue.

We also modelled the maximum ATP production and O2 consumption under fasting and post-prandial conditions. In both conditions, the cardiac tissue of female controls showed lower maximum ATP production and O2 consumption compared to male controls (see Supplementary material online, Figure SX in the Data Supplement).

The maximum utilization rate gives a net measure for several members of the given metabolic pathway. Thus, we aimed to identify enzymes critical for FA and glucose metabolism in Prdm16csp1/wt cardiac tissue. For this purpose, the metabolic utilization and protein abundance were correlated for each protein and animal. The strongest correlations, indicated by low P-values, were found for carnitine palmitoyltransferase 2 (Cpt2), acetyl-CoA acyltransferase 2 (Acaa2), hexokinase 1 (Hk1), and other proteins (see Figure 6G, Supplementary material online, Figure SXI in the Data Supplement). In controls, Cpt2 and Acaa2, two proteins of the mitochondrial beta-oxidation activity, showed lower maximal capacity in females, supporting our finding that FA metabolism is lower (Figure 6G, Supplementary material online, Figure SXII in the Data Supplement). Lower Cpt2 capacity in male Prdm16csp1/wt cardiac tissue partly explains lower FA metabolism in males. Consistent with protein expression data, female and male Prdm16csp1/wt cardiac tissue showed a lower Hk1 utilization. Hk1 mediates phosphorylation of D-glucose to D-glucose 6-phosphate and represents the initial step of glycolysis. Altogether, these findings indicate an imbalance in substrate metabolism and oxidative stress upon a monoallelic inactivation of Prdm16.

4. Discussion

Our study suggests that a decisive event in the Prdm16 associated early cardiac pathology involves an extensive dysregulation of metabolism, without extensive effects on transcription (Figure 7). Metabolic changes upon heterozygous Prdm16 inactivation appear to contribute to the development of early cardiac pathologies, which may result in cardiac hypoplasia9 and hypertrophy.31 We identify Pyroxd2 and Pbxip1 as novel modulators of cardiac function, which reflect the central role of metabolism in the Prdm16 associated cardiac phenotype. Moreover, our study reveals that Prdm16csp1/wt females experience a more pronounced molecular and structural phenotype than males, and that sex has a larger effect than the Prdm16 genotype. The difference between male and female Prdm16csp1/wt hearts in the maximum use of FA and glucose suggests that females are more poorly equipped to cope with metabolic challenges.

Figure 7.

Figure 7

Prdm16 is an early regulator of cardiac metabolism. Assessing different mouse models for the PRDM16 associated cardiomyopathy reveals distinct cardiac phenotypes after mono or biallelic Prdm16 inactivation.9,10,31 Metabolism is differentially affected at early (Prdm16csp1/wt) and late pathology stages (Xmlc2Cre;Prdm16flox/flox, Mesp1Cre;Prdm16flox/flox).10,31

4.1. PRDM16 cardiomyopathy

Mutation of PRDM16 is known to cause cardiomyopathy associated with DCM and LVNC.4 More recently, truncating variants in PRDM16 have been identified by in silico analysis as one of three specific LVNC variant classes.8 These genetic observations and the Prdm16csp1/wt phenotype reinforce the case that heterozygous PRDM16 inactivation/truncation in humans is sufficient to cause cardiomyopathy. Functional evidence from Prdm16csp1/wt mice, which mirrors the genotype of patients with PRDM16 mutation, will increase the ClinGen evidence from limited to moderate for the association of PRDM16 with cardiomyopathy (www.clinicalgenome.org).

In mice, a homozygous inactivation of Prdm16 induces discordant phenotypes in different genetic backgrounds, resulting in either early post-natal lethality (Xmlc2Cre;Prdm16flox/flox) or cardiac dysfunction with fibrosis at adult stages (Mesp1Cre;Prdm16flox/flox, Myh6Cre;Prdm16flox/flox).10,31,32  Xmlc2Cre and Mesp1Cre strains are expected to inactivate Prdm16 during the very early development of the heart.33 Discrepancies in the penetrance of the phenotypes can be attributed to incomplete spatial Cre-mediated Prdm16 inactivation and residual Prdm16 levels in early cardiomyocyte progenitor cells, endothelia, or cardiac fibroblasts. Consistent with neuronal studies, it is likely that Prdm16 has additional effects on cardiac stem and progenitor cell functions compared to differentiated, adult cardiomyocytes.34 Indeed, inactivating adult Prdm16 using a tamoxifen-inducible mouse model (αMHC-MerCreMer;Prdm16flox/flox) resulted in viable mice without an overt cardiac phenotype.10 We conclude that the impact of Prdm16 on cardiomyocyte proliferation and growth depends on the developmental stage of the mice. So far, homozygous PRDM16 mutations have not been identified in patients. Based on animal studies,10,31,32 we believe that biallelic PRDM16 inactivation induces a highly penetrant, severe cardiac phenotype in humans that compromises post-natal life. In Prdm16csp1/wt hearts, we did not observe changes in myocardial compaction or the gene circuit involving Tbx5 and Hand1.10 This may be due to the heterozygous nature of the Prdm16 inactivation in our model. Another important feature is that Prdm16csp1/wt hearts do not show perturbations of sarcomeres at either a structural or a molecular level. This suggests that contractile dysfunction in the PRDM16 cardiomyopathy originates from other mechanisms such as energy restriction or metabolic stress, which affect contractility and/or ion homeostasis.

4.2. Prdm16 differentially compromises metabolism in early and late-stage cardiac pathology

Studies from adipose tissue show that PRDM16 orchestrates adipocyte differentiation via its interaction with proteins such as PPARA, PPARG, MED1, CEBPD, peroxisome proliferator-activated receptor gamma coactivator 1-alpha, beta (PPARGC1A, PPARGC1B), or uncoupling protein 1 (UCP1).3,12,13,15–17,35,36 Consequently, we explored a selection of validated PRDM16 targets in Prdm16csp1/wt hearts and in a transcriptomic screen of human adult DCM (see Supplementary material online, Table SVII in the Data Supplement).21 We found a dysregulation of only three PRDM16 targets, namely PPARA, MED1, and CEBPD in this screen. We did not find changes in the regulation of Tbx5 or Hand1, which had been identified as targets in Xmlc2Cre;Prdm16flox/flox hearts.10 This suggests as follows: (i) the regulatory programs steered by PRDM16 in cardiomyocytes differ from those observed in other differentiated cell types, (ii) changes in expression are time sensitive and depend on the progenitor or differentiation stage, and (iii) the early molecular changes or adaptations in PRDM16 cardiac pathology are not associated with broad, significant expression changes. In the absence of major transcriptional effects in our model, we investigated possible metabolic alterations.

The initial evidence that metabolic alterations might be associated with the cardiac PRDM16 phenotype came from a study analysing homozygous Mesp1Cre;Prdm16flox/flox mice. These mice develop cardiac hypertrophy, diminished heart function, fibrosis, a reduction in mitochondrial content, and diminished levels of acylcarnitine at 12 months of age.31 Diminished mitochondrial content is associated with the strong reduction of a mitochondrial CIV marker, which is in line with a degradation of Mt-co1 and Cox4i1 in Prdm16csp1/wt hearts. Furthermore, Mesp1Cre;Prdm16flox/flox hearts exhibit an up-regulation of transcripts involved in glucose metabolism, a transcriptional down-regulation of lipid metabolism, and changes in gene expression associated with oxidative stress. Challenging young Mesp1Cre;Prdm16flox/flox mice with a high-fat diet induced cardiac dysfunction and hypertrophy already at 3 months of age, compared to an onset at 9 months without the high-fat diet. This suggests that complete Prdm16 inactivation in the heart leads to a diminished mitochondrial volume and sensitivity to substrate availability, ultimately resulting in cardiomyocyte hypertrophy by activating distinctive gene programs.31 An exploration of the heart phenotype in Xmlc2Cre;Prdm16flox/flox mice also revealed a down-regulation of transcripts associated with mitochondrial biogenesis/function and FA metabolism.10 Together, analyses of both models with homozygous Prdm16 inactivation demonstrate that the cardiac phenotypes are associated with diminished metabolic capacity that eventually lead to cardiac growth and hypertrophy. In contrast, heterozygous Prdm16csp1/wt hearts are hypoplastic, with no evidence of mitochondrial volume changes. This indicates that metabolic alterations are early events in Prdm16 inactivation.

Differences in male and female Prdm16csp1/wt responses with regard to maximal FA or glucose utilization support sex-specific transcriptional dysregulation. In male Prdm16csp1/wt hearts, the strongest up- and down-regulation was observed for Ubiad1 and haemoglobins (Hba-a1, Hbb-bs), respectively. Ubiad1 is a prenyltransferase that is involved in ubiquinone (CoQ10) synthesis; its up-regulation increases redox tolerance and provides cardiovascular protection.37 The cellular down-regulation of Hba-a1 and Hbb-ba diminishes the oxygen supply and may blunt cardiac oxidative stress in a setting of restricted FA oxidation. Female Prdm16csp1/wt hearts show the strongest up- and down-regulation of the metabolism associated transcripts Nr1d1 and Aldh3a1, respectively. NR1D1 is a ligand-regulated transcriptional repressor that affects metabolic regulation, cellular differentiation, and circadian rhythm control.38 Upon adipogenesis, Nr1d1 gene silencing affects brown adipocyte differentiation and attenuates Prdm16 expression, suggesting an interaction.38 A recent study exploring the impact of shift work on cardiac reperfusion injury revealed a drop in the myocardial Nr1d1 expression, suggesting that it might play a more general role in cardiomyocyte function.39 Aldh3a1 is involved in the oxidation and detoxification of lipid peroxids. Its genetic inactivation in zebrafish increases 4-HNE levels and impairs glucose homeostasis.40 Thus, Aldh3a1 reduction is likely associated with metabolic adaptations in the use of glucose in female Prdm16csp1/wt. Overall, early transcriptional changes in Prdm16csp1/wt hearts are distinct from those observed in later stages of pathology.

4.3. Pyroxd2 and Pbxip1 are novel modulators of cardiac function

In line with a central role of metabolism for PRDM16 associated cardiac phenotypes, we found a concordant up-regulation of Pyroxd2 and Pbxip1. Both have been implicated in the regulation of energy metabolism. PBXIP1 interacts with a number of proteins, including the transcription factor Pre-B-cell leukaemia factor 1 (PBX1),41 microtubules,41 oestrogen receptors 1 and 2 (ESR1, ESR2),42 and AMP-activated protein kinase (AMPK).43 Moreover, PBXIP1 regulates the activity of MAPK and mTOR signalling.23 The function of Pbxip1 in the heart is largely unknown. In an earlier genetic screen, the inhibition of MAPK signalling pathway proteins increased PBXIP1 phosphorylation.44 In contrast, the activation of the MAPK signalling cascade increased PBXIP1 protein expression. PBXIP1 overexpression in mice stimulated cardiac hypertrophy.44 In Prdm16csp1/wt hearts, we found that the up-regulation of Pbxip1 was associated with diminished MAPK signalling activity. Mutation of PBXIP1 in patients has not been associated with heart disease; however, mutation of the interacting transcription factor PBX1 has been linked to syndromic congenital heart defects.45 An interesting aspect of PBXIP1 is its interaction with and activation of ESR1 and ESR2, which represent potential mechanisms for sex-specific effects.42 Our data implicate PBXIP1 in cardiac growth, metabolism, and hypertrophy, but this needs to be further characterized under conditions of health and disease. In the context of Prdm16 heterozygous mutants, Pbxip1 may orchestrate the adaptive responses of important signalling cascades such as AMPK, mTOR, or MAPK.

The cardiac functions of murine Pyroxd2 are unknown. PYROXD2 is an oxidoreductase of the inner mitochondrial membrane/matrix that interacts with the mitochondrial CIV subunit Cox5b.22 The mitochondrial subunit Cox4i1, which is degraded in female Prdm16csp1/wt hearts, interacts with both Cox5b and Mt-co1. This suggests that CIV is critically affected upon Prdm16 deactivation.22,46 A genetic inactivation of PYROXD2 in hepatic cell lines decreased the mitochondrial membrane potential, CIV activity, ATP content, and mitochondrial DNA copy number.22 PYROXD2 inactivation also increased amounts of mitochondrial reactive oxygen species and the number of immature mitochondria.22 Compound heterozygous genetic variants in PYROXD2 were detected in a single patient with a severe infantile metabolic disorder.47 Molecular workups in patient fibroblasts demonstrated a mito-ribosomal defect characterized by increased mitochondrial superoxide levels, an elevated sensitivity to metabolic stress, a decrease in complex I subunit proteins, and diminished mitochondrial ribosome levels.47 Mutation of a related human oxidoreductase, PYROXD1, results in early-onset skeletal myopathy.48 Another study, which investigated molecular signatures in skeletal muscle from heart failure patients, detected an up-regulation of PYROXD2 transcripts.49 These data suggest that the up-regulation of Pyroxd2 in Prdm16csp1/wt hearts may compensate for metabolic and oxidative stress conditions.

4.4. Sex-specific aspects of Prdm16 inactivation in cardiac metabolism

Our study detects a more pronounced cardiac and molecular phenotype in Prdm16csp1/wt females than in males. Originally, the cytogenetic association of PRDM16 inactivation with cardiomyopathy was described in 18 patients with 1p36 syndrome.4 Among these, 16 individuals were females and only two were males.4 This may point to a sex-specific penetrance of the PRDM16 cardiomyopathy. Apparently, female Prdm16csp1/wt mice compensate for disturbances in cardiac metabolic less efficiently than males. Metabolic modelling with CARDIOKIN1 revealed diminished FA, increases in glucose, and reduced lactate utilization in the hearts of female than male Prdm16wt/wt mice.26 This establishes a clear sexual dimorphism for cardiac metabolism under basal healthy conditions.50 Under normal conditions, the heart generates ATP mainly via FA oxidation and glucose utilization (glycolysis, pyruvate supply to TCA).51 Female Prdm16csp1/wt hearts show a lower use of glucose but unaffected FA utilization. The increase in the maximal lactate utilization capacity in female Prdm16csp1/wt hearts likely reflects an adaptation to metabolic stress conditions. Male Prdm16csp1/wt hearts show diminished maximal utilization of FA, which is in line with the TAG accumulation we observed. Male Prdm16csp1/wt hearts exhibit elevated levels of EET, which is in line with a recent study demonstrating an increase in EET levels/turnover in LV biopsies from DCM patients.52 This supports distinct mechanisms of lipid metabolism in male hearts.

Whether hormonal differences are the cause of systemically reduced fat content and the more advanced pathology in female Prdm16csp1/wt mice is unclear. The known association of Pbxip1 and Esr1/Esr2 activity as well as Nr1d1 provides a potential explanation for the sexual dimorphism in the regulation of the use of substrates. Prdm16csp1/wt hearts demonstrate significant sex-related effects at both the transcript and protein levels. Indeed, sex has a larger effect on metabolic parameters than the Prdm16 genotype, at least during the early pathological window. The fact that Pbxip1 and other genes are differentially regulated in sex-specific transcription patterns in Prdm16csp1/wt hearts partially explains the sex-specific phenotype that we observed.20 The recent identification of Prdm14 as a determinant of sex-biased expression patterns in early heart development further highlights the critical impact of the Prdm gene family as determinants of cardiac function.53 Our findings suggest a sexual dimorphism for PRDM16 associated cardiomyopathy, with a more penetrant phenotype that likely occurs earlier in females.

4.5. Study limitations

Female Prdm16csp1/wt mice have diminished relative total body fat content and increased relative muscle content. This mirrors either the female tissue-specific metabolism and/or points towards a systemic factor affecting tissue development. Identification of such factor would be important to understand the systemic (endocrine) role of Prdm16 and to test therapeutic approaches targeting adipose tissue. Our study does not assess early metabolic changes in cardiac progenitor cells or individual cell types within the myocardium. Analysis of Prdm16csp1/wt hearts with in silico tools and individual metabolite measurements suggests an accelerated metabolism. However, we did not perform kinetic experiments to demonstrate accelerated turnover of selected metabolic pathways.

Supplementary material

Supplementary material is available at Cardiovascular Research online.

Supplementary Material

cvad154_Supplementary_Data

Acknowledgements

We thank the Berlin Institute of Health (BIH), Core Facility Genomics, Berlin, Germany for providing the high-throughput sequencing platform (Tatjana Borodina). The MDC, animal phenotyping facility performed mouse physiological experiments (Stefanie Schelenz, Martin Taube). We thank the Advanced Light Microscopy Technology Platform of the Max-Delbrück-Center for Molecular Medicine, Berlin for the general and technical support (Anca Margineanu, Anje Sporbert). We thank the Charité electron microscopy facility (Petra Schrade, Sara Timm, Matthias Ochs). We thank the MS Omics for metabolic analysis (Lea Johnsen, Morten Danielsen). We thank Russell Hodge for the critical reading of the manuscript.

Contributor Information

Jirko Kühnisch, Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany; Experimental and Clinical Research Center, Lindenberger Weg 80, 13125 Berlin, Germany; Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany; DZHK (German Centre for Cardiovascular Research), partner site Berlin, Berlin, Germany.

Simon Theisen, Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany; Experimental and Clinical Research Center, Lindenberger Weg 80, 13125 Berlin, Germany; Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany; DZHK (German Centre for Cardiovascular Research), partner site Berlin, Berlin, Germany.

Josephine Dartsch, Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany; Experimental and Clinical Research Center, Lindenberger Weg 80, 13125 Berlin, Germany; Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany.

Raphaela Fritsche-Guenther, BIH Metabolomics Platform, Berlin Institute of Health (BIH) at Charité - Universitätsmedizin Berlin, Berlin, Germany.

Marieluise Kirchner, Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Proteomics Platform, Berlin, Germany; Berlin Institute of Health (BIH) at Charité - Universitätsmedizin Berlin, Berlin, Germany.

Benedikt Obermayer, Core Unit Bioinformatics, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany.

Anna Bauer, BIH Metabolomics Platform, Berlin Institute of Health (BIH) at Charité - Universitätsmedizin Berlin, Berlin, Germany.

Anne-Karin Kahlert, Department of Congenital Heart Disease and Pediatric Cardiology, University Hospital of Schleswig-Holstein, Kiel, Germany; DZHK German Center for Cardiovascular Research, partner site Hamburg/Kiel/Lübeck, Germany; Institute of Immunology and Genetics, Kaiserslautern, Germany.

Michael Rothe, Lipidomix GmbH, Berlin, Germany.

Dieter Beule, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany; Core Unit Bioinformatics, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany.

Arnd Heuser, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany.

Philipp Mertins, Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Proteomics Platform, Berlin, Germany; Berlin Institute of Health (BIH) at Charité - Universitätsmedizin Berlin, Berlin, Germany.

Jennifer A Kirwan, BIH Metabolomics Platform, Berlin Institute of Health (BIH) at Charité - Universitätsmedizin Berlin, Berlin, Germany.

Nikolaus Berndt, Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany; Institute of Computer-assisted Cardiovascular Medicine, Deutsches Herzzentrum der Charité (DHZC), Berlin, Germany; Department of Molecular Toxicology, German Institute of Human Nutrition Potsdam—Rehbruecke (DIfE), Nuthetal, Germany.

Calum A MacRae, Harvard Medical School and Cardiovascular Division, Department of Medicine, Brigham and Women’s Hospital, Boston, USA.

Norbert Hubner, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany; DZHK (German Centre for Cardiovascular Research), partner site Berlin, Berlin, Germany.

Sabine Klaassen, Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany; Experimental and Clinical Research Center, Lindenberger Weg 80, 13125 Berlin, Germany; Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany; DZHK (German Centre for Cardiovascular Research), partner site Berlin, Berlin, Germany; Department of Pediatric Cardiology, Deutsches Herzzentrum der Charité (DHZC), Berlin, Germany.

Funding

The study was funded by a Berlin Institute of Health (BIH) twinning research grant to S.K. and N.H. The German Centre for Cardiovascular Research, Deutsches Zentrum für Herz-Kreislauf-Forschung e.V. (DZHK), partner site Berlin supported S.T. with a doctoral scholarship and S.K. with a research grant 81Z0100216. N.B. was supported by the Bundesministerium für Bildung und Forschung (German Federal Ministry of Education and Research), under the frame of ERA PerMed, as well as by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation)—SFB-1470 – A08; and project number 422215721.

Data availability

The data underlying this article are available in the article, in its online supplementary material, and data repositories (GEO accession No. GSE236791, PRIDE accession No. PXD043601).

References

  • 1. Burke  MA, Cook  SA, Seidman  JG, Seidman  CE. Clinical and mechanistic insights into the genetics of cardiomyopathy. J Am Coll Cardiol  2016;68:2871–2886. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2. Kuhnisch  J, Herbst  C, Al-Wakeel-Marquard  N, Dartsch  J, Holtgrewe  M, Baban  A, Mearini  G, Hardt  J, Kolokotronis  K, Gerull  B, Carrier  L, Beule  D, Schubert  S, Messroghli  D, Degener  F, Berger  F, Klaassen  S. Targeted panel sequencing in pediatric primary cardiomyopathy supports a critical role of TNNI3. Clin Genet  2019;96:549–559. [DOI] [PubMed] [Google Scholar]
  • 3. Ishibashi  J, Seale  P. Functions of Prdm16 in thermogenic fat cells. Temperature  2015;2:65–72. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4. Arndt  AK, Schafer  S, Drenckhahn  JD, Sabeh  MK, Plovie  ER, Caliebe  A, Klopocki  E, Musso  G, Werdich  AA, Kalwa  H, Heinig  M, Padera  RF, Wassilew  K, Bluhm  J, Harnack  C, Martitz  J, Barton  PJ, Greutmann  M, Berger  F, Hubner  N, Siebert  R, Kramer  HH, Cook  SA, MacRae  CA, Klaassen  S. Fine mapping of the 1p36 deletion syndrome identifies mutation of PRDM16 as a cause of cardiomyopathy. Am J Hum Genet  2013;93:67–77. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5. Delplancq  G, Tarris  G, Vitobello  A, Nambot  S, Sorlin  A, Philippe  C, Carmignac  V, Duffourd  Y, Denis  C, Eicher  JC, Chevarin  M, Millat  G, Khallouk  B, Rousseau  T, Falcon-Eicher  S, Vasiljevic  A, Harizay  FT, Thauvin-Robinet  C, Faivre  L, Kuentz  P. Cardiomyopathy due to PRDM16 mutation: first description of a fetal presentation, with possible modifier genes. Am J Med Genet C Semin Med Genet  2020;184:129–135. [DOI] [PubMed] [Google Scholar]
  • 6. van Waning  JI, Caliskan  K, Hoedemaekers  YM, van Spaendonck-Zwarts  KY, Baas  AF, Boekholdt  SM, van Melle  JP, Teske  AJ, Asselbergs  FW, Backx  A, du Marchie Sarvaas  GJ, Dalinghaus  M, Breur  J, Linschoten  MPM, Verlooij  LA, Kardys  I, Dooijes  D, Lekanne Deprez  RH, van den Berg  MP, Hofstra  RMW, van Slegtenhorst  MA, Jongbloed  JDH, Majoor-Krakauer  D. Genetics, clinical features, and long-term outcome of noncompaction cardiomyopathy. J Am Coll Cardiol  2018;71:711–722. [DOI] [PubMed] [Google Scholar]
  • 7. Long  PA, Evans  JM, Olson  TM. Diagnostic yield of whole exome sequencing in pediatric dilated cardiomyopathy. J Cardiovasc Dev Dis  2017;4:11. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8. Mazzarotto  F, Hawley  MH, Beltrami  M, Beekman  L, de Marvao  A, McGurk  KA, Statton  B, Boschi  B, Girolami  F, Roberts  AM, Lodder  EM, Allouba  M, Romeih  S, Aguib  Y, Baksi  AJ, Pantazis  A, Prasad  SK, Cerbai  E, Yacoub  MH, O'Regan  DP, Cook  SA, Ware  JS, Funke  B, Olivotto  I, Bezzina  CR, Barton  PJR, Walsh  R. Systematic large-scale assessment of the genetic architecture of left ventricular noncompaction reveals diverse etiologies. Genet Med  2021;23:856–864. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9. Bjork  BC, Turbe-Doan  A, Prysak  M, Herron  BJ, Beier  DR. Prdm16 is required for normal palatogenesis in mice. Hum Mol Genet  2010;19:774–789. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10. Wu  T, Liang  Z, Zhang  Z, Liu  C, Zhang  L, Gu  Y, Peterson  KL, Evans  SM, Fu  XD, Chen  J. PRDM16 is a compact myocardium-enriched transcription factor required to maintain compact myocardial cardiomyocyte identity in left ventricle. Circulation  2022;145:586–602. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11. Jiang  N, Yang  M, Han  Y, Zhao  H, Sun  L. PRDM16 regulating adipocyte transformation and thermogenesis: a promising therapeutic target for obesity and diabetes. Front Pharmacol  2022;13:870250. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12. Kajimura  S, Seale  P, Kubota  K, Lunsford  E, Frangioni  JV, Gygi  SP, Spiegelman  BM. Initiation of myoblast to brown fat switch by a PRDM16-C/EBP-beta transcriptional complex. Nature  2009;460:1154–1158. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13. Kajimura  S, Seale  P, Tomaru  T, Erdjument-Bromage  H, Cooper  MP, Ruas  JL, Chin  S, Tempst  P, Lazar  MA, Spiegelman  BM. Regulation of the brown and white fat gene programs through a PRDM16/CtBP transcriptional complex. Genes Dev  2008;22:1397–1409. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14. Seale  P, Kajimura  S, Spiegelman  BM. Transcriptional control of brown adipocyte development and physiological function—of mice and men. Genes Dev  2009;23:788–797. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15. Seale  P, Kajimura  S, Yang  W, Chin  S, Rohas  LM, Uldry  M, Tavernier  G, Langin  D, Spiegelman  BM. Transcriptional control of brown fat determination by PRDM16. Cell Metab  2007;6:38–54. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16. Harms  MJ, Lim  HW, Ho  Y, Shapira  SN, Ishibashi  J, Rajakumari  S, Steger  DJ, Lazar  MA, Won  KJ, Seale  P. PRDM16 binds MED1 and controls chromatin architecture to determine a brown fat transcriptional program. Genes Dev  2015;29:298–307. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17. Seale  P, Bjork  B, Yang  W, Kajimura  S, Chin  S, Kuang  S, Scime  A, Devarakonda  S, Conroe  HM, Erdjument-Bromage  H, Tempst  P, Rudnicki  MA, Beier  DR, Spiegelman  BM. PRDM16 controls a brown fat/skeletal muscle switch. Nature  2008;454:961–967. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18. Pomaznoy  M, Ha  B, Peters  B. GOnet: a tool for interactive Gene Ontology analysis. BMC Bioinformatics  2018;19:470. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19. Saadatmand  AR, Sramek  V, Weber  S, Finke  D, Dewenter  M, Sticht  C, Gretz  N, Wustemann  T, Hagenmueller  M, Kuenzel  SR, Meyer-Roxlau  S, Kramer  M, Sossalla  S, Lehmann  LH, Kammerer  S, Backs  J, El-Armouche  A. Cam kinase II regulates cardiac hemoglobin expression through histone phosphorylation upon sympathetic activation. Proc Natl Acad Sci U S A  2019;116:22282–22287. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20. Trexler  CL, Odell  AT, Jeong  MY, Dowell  RD, Leinwand  LA. Transcriptome and functional profile of cardiac myocytes is influenced by biological sex. Circ Cardiovasc Genet  2017;10:e001770. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21. Heinig  M, Adriaens  ME, Schafer  S, van Deutekom  HWM, Lodder  EM, Ware  JS, Schneider  V, Felkin  LE, Creemers  EE, Meder  B, Katus  HA, Ruhle  F, Stoll  M, Cambien  F, Villard  E, Charron  P, Varro  A, Bishopric  NH, George  AL  Jr, Dos Remedios  C, Moreno-Moral  A, Pesce  F, Bauerfeind  A, Ruschendorf  F, Rintisch  C, Petretto  E, Barton  PJ, Cook  SA, Pinto  YM, Bezzina  CR, Hubner  N. Natural genetic variation of the cardiac transcriptome in non-diseased donors and patients with dilated cardiomyopathy. Genome Biol  2017;18:170. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22. Wang  T, Xie  X, Liu  H, Chen  F, Du  J, Wang  X, Jiang  X, Yu  F, Fan  H. Pyridine nucleotide-disulphide oxidoreductase domain 2 (PYROXD2): role in mitochondrial function. Mitochondrion  2019;47:114–124. [DOI] [PubMed] [Google Scholar]
  • 23. Khumukcham  SS, Manavathi  B. Two decades of a protooncogene HPIP/PBXIP1: uncovering the tale from germ cell to cancer. Biochim Biophys Acta Rev Cancer  2021;1876:188576. [DOI] [PubMed] [Google Scholar]
  • 24. Tham  YK, Bernardo  BC, Huynh  K, Ooi  JYY, Gao  XM, Kiriazis  H, Giles  C, Meikle  PJ, McMullen  JR. Lipidomic profiles of the heart and circulation in response to exercise versus cardiac pathology: a resource of potential biomarkers and drug targets. Cell Rep  2018;24:2757–2772. [DOI] [PubMed] [Google Scholar]
  • 25. Wittenbecher  C, Eichelmann  F, Toledo  E, Guasch-Ferre  M, Ruiz-Canela  M, Li  J, Aros  F, Lee  CH, Liang  L, Salas-Salvado  J, Clish  CB, Schulze  MB, Martinez-Gonzalez  MA, Hu  FB. Lipid profiles and heart failure risk: results from two prospective studies. Circ Res  2021;128:309–320. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26. Berndt  N, Eckstein  J, Wallach  I, Nordmeyer  S, Kelm  M, Kirchner  M, Goubergrits  L, Schafstedde  M, Hennemuth  A, Kraus  M, Grune  T, Mertins  P, Kuehne  T, Holzhutter  HG. CARDIOKIN1: computational assessment of myocardial metabolic capability in healthy controls and patients with valve diseases. Circulation  2021;144:1926–1939. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27. Johnson  TA, Jinnah  HA, Kamatani  N. Shortage of cellular ATP as a cause of diseases and strategies to enhance ATP. Front Pharmacol  2019;10:98. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28. Xie  N, Zhang  L, Gao  W, Huang  C, Huber  PE, Zhou  X, Li  C, Shen  G, Zou  B. NAD(+) metabolism: pathophysiologic mechanisms and therapeutic potential. Signal Transduct Target Ther  2020;5:227. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29. Schunck  WH, Konkel  A, Fischer  R, Weylandt  KH. Therapeutic potential of omega-3 fatty acid-derived epoxyeicosanoids in cardiovascular and inflammatory diseases. Pharmacol Ther  2018;183:177–204. [DOI] [PubMed] [Google Scholar]
  • 30. Wang  B, Wu  L, Chen  J, Dong  L, Chen  C, Wen  Z, Hu  J, Fleming  I, Wang  DW. Metabolism pathways of arachidonic acids: mechanisms and potential therapeutic targets. Signal Transduct Target Ther  2021;6:94. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31. Cibi  DM, Bi-Lin  KW, Shekeran  SG, Sandireddy  R, Tee  N, Singh  A, Wu  Y, Srinivasan  DK, Kovalik  JP, Ghosh  S, Seale  P, Singh  MK. Prdm16 deficiency leads to age-dependent cardiac hypertrophy, adverse remodeling, mitochondrial dysfunction, and heart failure. Cell Rep  2020;33:108288. [DOI] [PubMed] [Google Scholar]
  • 32. Nam  JM, Lim  JE, Ha  TW, Oh  B, Kang  JO. Cardiac-specific inactivation of Prdm16 effects cardiac conduction abnormalities and cardiomyopathy-associated phenotypes. Am J Physiol Heart Circ Physiol  2020;318:H764–H777. [DOI] [PubMed] [Google Scholar]
  • 33. Bruneau  BG. Transcriptional regulation of vertebrate cardiac morphogenesis. Circ Res  2002;90:509–519. [DOI] [PubMed] [Google Scholar]
  • 34. Leszczynski  P, Smiech  M, Parvanov  E, Watanabe  C, Mizutani  KI, Taniguchi  H. Emerging roles of PRDM factors in stem cells and neuronal system: cofactor dependent regulation of PRDM3/16 and FOG1/2 (novel PRDM factors). Cells  2020;9:2603. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35. Iida  S, Chen  W, Nakadai  T, Ohkuma  Y, Roeder  RG. PRDM16 enhances nuclear receptor-dependent transcription of the brown fat-specific Ucp1 gene through interactions with mediator subunit MED1. Genes Dev  2015;29:308–321. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36. Seale  P, Conroe  HM, Estall  J, Kajimura  S, Frontini  A, Ishibashi  J, Cohen  P, Cinti  S, Spiegelman  BM. Prdm16 determines the thermogenic program of subcutaneous white adipose tissue in mice. J Clin Invest  2011;121:96–105. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37. Mugoni  V, Postel  R, Catanzaro  V, De Luca  E, Turco  E, Digilio  G, Silengo  L, Murphy  MP, Medana  C, Stainier  DY, Bakkers  J, Santoro  MM. Ubiad1 is an antioxidant enzyme that regulates eNOS activity by CoQ10 synthesis. Cell  2013;152:504–518. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38. Nam  D, Chatterjee  S, Yin  H, Liu  R, Lee  J, Yechoor  VK, Ma  K. Novel function of Rev-erbalpha in promoting brown adipogenesis. Sci Rep  2015;5:11239. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39. Zhao  Y, Lu  X, Wan  F, Gao  L, Lin  N, He  J, Wei  L, Dong  J, Qin  Z, Zhong  F, Qiao  Z, Wang  W, Ge  H, Ding  S, Yang  Y, Xiu  J, Shan  P, Yan  F, Zhao  S, Ji  Y, Pu  J. Disruption of circadian rhythms by shift work exacerbates reperfusion injury in myocardial infarction. J Am Coll Cardiol  2022;79:2097–2115. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40. Lou  B, Boger  M, Bennewitz  K, Sticht  C, Kopf  S, Morgenstern  J, Fleming  T, Hell  R, Yuan  Z, Nawroth  PP, Kroll  J. Elevated 4-hydroxynonenal induces hyperglycaemia via Aldh3a1 loss in zebrafish and associates with diabetes progression in humans. Redox Biol  2020;37:101723. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41. Abramovich  C, Shen  WF, Pineault  N, Imren  S, Montpetit  B, Largman  C, Humphries  RK. Functional cloning and characterization of a novel nonhomeodomain protein that inhibits the binding of PBX1-HOX complexes to DNA. J Biol Chem  2000;275:26172–26177. [DOI] [PubMed] [Google Scholar]
  • 42. Wang  X, Yang  Z, Zhang  H, Ding  L, Li  X, Zhu  C, Zheng  Y, Ye  Q. The estrogen receptor-interacting protein HPIP increases estrogen-responsive gene expression through activation of MAPK and AKT. Biochim Biophys Acta  2008;1783:1220–1228. [DOI] [PubMed] [Google Scholar]
  • 43. Moreno  D, Viana  R, Sanz  P. Two-hybrid analysis identifies PSMD11, a non-ATPase subunit of the proteasome, as a novel interaction partner of AMP-activated protein kinase. Int J Biochem Cell Biol  2009;41:2431–2439. [DOI] [PubMed] [Google Scholar]
  • 44. Grimes  KA, Pyo  A, Molkentin  JD. Abstract 918: pre-B-cell leukemia homeobox interacting protein 1 is a novel regulator of growth signaling in the heart. Circ Res  2019;125:A918. [Google Scholar]
  • 45. Alankarage  D, Szot  JO, Pachter  N, Slavotinek  A, Selleri  L, Shieh  JT, Winlaw  D, Giannoulatou  E, Chapman  G, Dunwoodie  SL. Functional characterization of a novel PBX1 de novo missense variant identified in a patient with syndromic congenital heart disease. Hum Mol Genet  2020;29:1068–1082. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46. Huttlin  EL, Bruckner  RJ, Navarrete-Perea  J, Cannon  JR, Baltier  K, Gebreab  F, Gygi  MP, Thornock  A, Zarraga  G, Tam  S, Szpyt  J, Gassaway  BM, Panov  A, Parzen  H, Fu  S, Golbazi  A, Maenpaa  E, Stricker  K, Guha Thakurta  S, Zhang  T, Rad  R, Pan  J, Nusinow  DP, Paulo  JA, Schweppe  DK, Vaites  LP, Harper  JW, Gygi  SP. Dual proteome-scale networks reveal cell-specific remodeling of the human interactome. Cell  2021;184:3022–3040 e3028. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47. Van Bergen  NJ, Hock  DH, Spencer  L, Massey  S, Stait  T, Stark  Z, Lunke  S, Roesley  A, Peters  H, Lee  JY, Le Fevre  A, Heath  O, Mignone  C, Yang  JY, Ryan  MM, D'Arcy  C, Nash  M, Smith  S, Caruana  NJ, Thorburn  DR, Stroud  DA, White  SM, Christodoulou  J, Brown  NJ. Biallelic variants in PYROXD2 cause a severe infantile metabolic disorder affecting mitochondrial function. Int J Mol Sci  2022;23:986. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48. O'Grady  GL, Best  HA, Sztal  TE, Schartner  V, Sanjuan-Vazquez  M, Donkervoort  S, Abath Neto  O, Sutton  RB, Ilkovski  B, Romero  NB, Stojkovic  T, Dastgir  J, Waddell  LB, Boland  A, Hu  Y, Williams  C, Ruparelia  AA, Maisonobe  T, Peduto  AJ, Reddel  SW, Lek  M, Tukiainen  T, Cummings  BB, Joshi  H, Nectoux  J, Brammah  S, Deleuze  JF, Ing  VO, Ramm  G, Ardicli  D, Nowak  KJ, Talim  B, Topaloglu  H, Laing  NG, North  KN, MacArthur  DG, Friant  S, Clarke  NF, Bryson-Richardson  RJ, Bonnemann  CG, Laporte  J, Cooper  ST. Variants in the oxidoreductase PYROXD1 cause early-onset myopathy with internalized nuclei and myofibrillar disorganization. Am J Hum Genet  2016;99:1086–1105. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49. Caspi  T, Straw  S, Cheng  C, Garnham  JO, Scragg  JL, Smith  J, Koshy  AO, Levelt  E, Sukumar  P, Gierula  J, Beech  DJ, Kearney  MT, Cubbon  RM, Wheatcroft  SB, Witte  KK, Roberts  LD, Bowen  TS. Unique transcriptome signature distinguishes patients with heart failure with myopathy. J Am Heart Assoc  2020;9:e017091. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50. Walker  CJ, Schroeder  ME, Aguado  BA, Anseth  KS, Leinwand  LA. Matters of the heart: cellular sex differences. J Mol Cell Cardiol  2021;160:42–55. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51. Lopaschuk  GD, Karwi  QG, Tian  R, Wende  AR, Abel  ED. Cardiac energy metabolism in heart failure. Circ Res  2021;128:1487–1513. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52. Sosnowski  DK, Jamieson  KL, Darwesh  AM, Zhang  H, Keshavarz-Bahaghighat  H, Valencia  R, Viveiros  A, Edin  ML, Zeldin  DC, Oudit  GY, Seubert  JM. Changes in the left ventricular eicosanoid profile in human dilated cardiomyopathy. Front Cardiovasc Med  2022;9:879209. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53. Deegan  DF, Karbalaei  R, Madzo  J, Kulathinal  RJ, Engel  N. The developmental origins of sex-biased expression in cardiac development. Biol Sex Differ  2019;10:46. [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

cvad154_Supplementary_Data

Data Availability Statement

The data underlying this article are available in the article, in its online supplementary material, and data repositories (GEO accession No. GSE236791, PRIDE accession No. PXD043601).


Articles from Cardiovascular Research are provided here courtesy of Oxford University Press

RESOURCES