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Pei J, Schuldt M, Nagyova E, Gu Z, El Bouhaddani S, Yiangou L, Jansen M, Calis JJA, Dorsch LM, Blok CS, van den Dungen NAM, Lansu N, Boukens BJ, Efimov IR, Michels M, Verhaar MC, de Weger R, Vink A, van Steenbeek FG, Baas AF, Davis RP, Uh HW, Kuster DWD, Cheng C, Mokry M, van der Velden J, Asselbergs FW, Harakalova M. Multi-omics integration identifies key upstream regulators of pathomechanisms in hypertrophic cardiomyopathy due to truncating MYBPC3 mutations. Clin Epigenetics 2021; 13:61. [PMID: 33757590 PMCID: PMC7989210 DOI: 10.1186/s13148-021-01043-3] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Accepted: 02/28/2021] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Hypertrophic cardiomyopathy (HCM) is the most common genetic disease of the cardiac muscle, frequently caused by mutations in MYBPC3. However, little is known about the upstream pathways and key regulators causing the disease. Therefore, we employed a multi-omics approach to study the pathomechanisms underlying HCM comparing patient hearts harboring MYBPC3 mutations to control hearts. RESULTS Using H3K27ac ChIP-seq and RNA-seq we obtained 9310 differentially acetylated regions and 2033 differentially expressed genes, respectively, between 13 HCM and 10 control hearts. We obtained 441 differentially expressed proteins between 11 HCM and 8 control hearts using proteomics. By integrating multi-omics datasets, we identified a set of DNA regions and genes that differentiate HCM from control hearts and 53 protein-coding genes as the major contributors. This comprehensive analysis consistently points toward altered extracellular matrix formation, muscle contraction, and metabolism. Therefore, we studied enriched transcription factor (TF) binding motifs and identified 9 motif-encoded TFs, including KLF15, ETV4, AR, CLOCK, ETS2, GATA5, MEIS1, RXRA, and ZFX. Selected candidates were examined in stem cell-derived cardiomyocytes with and without mutated MYBPC3. Furthermore, we observed an abundance of acetylation signals and transcripts derived from cardiomyocytes compared to non-myocyte populations. CONCLUSIONS By integrating histone acetylome, transcriptome, and proteome profiles, we identified major effector genes and protein networks that drive the pathological changes in HCM with mutated MYBPC3. Our work identifies 38 highly affected protein-coding genes as potential plasma HCM biomarkers and 9 TFs as potential upstream regulators of these pathomechanisms that may serve as possible therapeutic targets.
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Affiliation(s)
- J Pei
- Division Heart and Lungs, Department of Cardiology, University Medical Center Utrecht, University of Utrecht, 3584 CT, Utrecht, The Netherlands
- Regenerative Medicine Utrecht (RMU), University Medical Center Utrecht, University of Utrecht, 3584 CT, Utrecht, The Netherlands
- Department of Nephrology and Hypertension, DIG-D, UMC Utrecht, University of Utrecht, Utrecht, The Netherlands
| | - M Schuldt
- Department of Physiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - E Nagyova
- Laboratory of Clinical Chemistry and Hematology, UMC Utrecht, Utrecht, The Netherlands
| | - Z Gu
- Department of Biostatistics and Research Support, UMC Utrecht, University of Utrecht, Utrecht, The Netherlands
| | - S El Bouhaddani
- Department of Biostatistics and Research Support, UMC Utrecht, University of Utrecht, Utrecht, The Netherlands
| | - L Yiangou
- Department of Anatomy and Embryology, LUMC, Leiden, The Netherlands
| | - M Jansen
- Department of Genetics, Division of Laboratories, Pharmacy and Biomedical Genetics, UMC Utrecht, University of Utrecht, Utrecht, The Netherlands
| | - J J A Calis
- Division Heart and Lungs, Department of Cardiology, University Medical Center Utrecht, University of Utrecht, 3584 CT, Utrecht, The Netherlands
- Regenerative Medicine Utrecht (RMU), University Medical Center Utrecht, University of Utrecht, 3584 CT, Utrecht, The Netherlands
| | - L M Dorsch
- Department of Physiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - C Snijders Blok
- Division Heart and Lungs, Department of Cardiology, University Medical Center Utrecht, University of Utrecht, 3584 CT, Utrecht, The Netherlands
| | - N A M van den Dungen
- Laboratory of Clinical Chemistry and Hematology, UMC Utrecht, Utrecht, The Netherlands
| | - N Lansu
- Laboratory of Clinical Chemistry and Hematology, UMC Utrecht, Utrecht, The Netherlands
| | - B J Boukens
- Department of Medical Biology, AMC, Amsterdam, The Netherlands
| | - I R Efimov
- Department of Biomedical Engineering, GWU, Washington, DC, USA
| | - M Michels
- Department of Cardiology, Thoraxcentre, Erasmus Medical Centre, Rotterdam, The Netherlands
| | - M C Verhaar
- Regenerative Medicine Utrecht (RMU), University Medical Center Utrecht, University of Utrecht, 3584 CT, Utrecht, The Netherlands
- Department of Nephrology and Hypertension, DIG-D, UMC Utrecht, University of Utrecht, Utrecht, The Netherlands
| | - R de Weger
- Department of Pathology, UMC Utrecht, University of Utrecht, Utrecht, The Netherlands
| | - A Vink
- Department of Pathology, UMC Utrecht, University of Utrecht, Utrecht, The Netherlands
| | - F G van Steenbeek
- Division Heart and Lungs, Department of Cardiology, University Medical Center Utrecht, University of Utrecht, 3584 CT, Utrecht, The Netherlands
- Regenerative Medicine Utrecht (RMU), University Medical Center Utrecht, University of Utrecht, 3584 CT, Utrecht, The Netherlands
- Department of Clinical Sciences, Faculty of Veterinary Medicine, University of Utrecht, Utrecht, The Netherlands
| | - A F Baas
- Department of Genetics, Division of Laboratories, Pharmacy and Biomedical Genetics, UMC Utrecht, University of Utrecht, Utrecht, The Netherlands
| | - R P Davis
- Department of Anatomy and Embryology, LUMC, Leiden, The Netherlands
| | - H W Uh
- Department of Biostatistics and Research Support, UMC Utrecht, University of Utrecht, Utrecht, The Netherlands
| | - D W D Kuster
- Department of Physiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - C Cheng
- Regenerative Medicine Utrecht (RMU), University Medical Center Utrecht, University of Utrecht, 3584 CT, Utrecht, The Netherlands
- Department of Nephrology and Hypertension, DIG-D, UMC Utrecht, University of Utrecht, Utrecht, The Netherlands
- Department of Biomedical Engineering, GWU, Washington, DC, USA
| | - M Mokry
- Division Heart and Lungs, Department of Cardiology, University Medical Center Utrecht, University of Utrecht, 3584 CT, Utrecht, The Netherlands
- Regenerative Medicine Utrecht (RMU), University Medical Center Utrecht, University of Utrecht, 3584 CT, Utrecht, The Netherlands
- Laboratory of Clinical Chemistry and Hematology, UMC Utrecht, Utrecht, The Netherlands
- Division of Paediatrics, UMC Utrecht, University of Utrecht, Utrecht, The Netherlands
| | - J van der Velden
- Department of Physiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - F W Asselbergs
- Division Heart and Lungs, Department of Cardiology, University Medical Center Utrecht, University of Utrecht, 3584 CT, Utrecht, The Netherlands.
- Health Data Research UK and Institute of Health Informatics, University College London, London, UK.
- Institute of Cardiovascular Science, Faculty of Population Health Sciences, University College London, London, UK.
- Division Heart and Lungs, Department of Cardiology, University Medical Center Utrecht, Room E03.818, P.O. Box 85500, 3508 GA, Utrecht, The Netherlands.
| | - M Harakalova
- Division Heart and Lungs, Department of Cardiology, University Medical Center Utrecht, University of Utrecht, 3584 CT, Utrecht, The Netherlands.
- Regenerative Medicine Utrecht (RMU), University Medical Center Utrecht, University of Utrecht, 3584 CT, Utrecht, The Netherlands.
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Obeng BB, Amoah AS, Larbi IA, de Souza DK, Uh HW, Fernández-Rivas M, van Ree R, Rodrigues LC, Boakye DA, Yazdanbakhsh M, Hartgers FC. Schistosome infection is negatively associated with mite atopy, but not wheeze and asthma in Ghanaian schoolchildren. Clin Exp Allergy 2015; 44:965-75. [PMID: 24641664 DOI: 10.1111/cea.12307] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2013] [Accepted: 12/12/2013] [Indexed: 11/28/2022]
Abstract
BACKGROUND Epidemiological evidence suggests that helminth infection and rural living are inversely associated with allergic disorders. OBJECTIVE The aim of the study was to investigate the effect of helminth infections and urban versus rural residence on allergy in schoolchildren from Ghana. METHODS In a cross-sectional study of 1385 children from urban-high socio-economic status (SES), urban-low SES and rural schools, associations between body mass index (BMI), allergen-specific IgE (sIgE), parasitic infections and allergy outcomes were analysed. Allergy outcomes were skin prick test (SPT) reactivity, reported current wheeze and asthma. RESULTS Helminth infections were found predominantly among rural subjects, and the most common were hookworm (9.9%) and Schistosoma spp (9.5%). Being overweight was highest among urban-high SES (14.6%) compared to urban-low SES (5.5%) and rural children (8.6%). The prevalence of SPT reactivity to any allergen was 18.3%, and this was highest among rural children (21.4%) followed by urban-high SES (20.2%) and urban-low SES (10.5%) children. Overall, SPT reactivity to mite (12%) was most common. Wheeze and asthma were reported by 7.9% and 8.3%, respectively. In multivariate analyses, factors associated with mite SPT were BMI (aOR 2.43, 95% CI 1.28-4.60, P = 0.007), schistosome infection (aOR 0.15, 95% CI 0.05-0.41) and mite sIgE (aOR 7.40, 95% CI 5.62-9.73, P < 0.001) but not area. However, the association between mite IgE and SPT differed by area and was strongest among urban-high SES children (aOR = 15.58, 95% CI 7.05-34.43, P < 0.001). Compared to rural, urban-low SES area was negatively associated with current wheeze (aOR 0.41, 95% CI 0.20-0.83, P = 0.013). Both mite sIgE and mite SPT were significantly associated with current wheeze and asthma. CONCLUSION AND CLINICAL RELEVANCE Infection with schistosomes appeared to protect against mite SPT reactivity. This needs to be confirmed in future studies, preferably in a longitudinal design where schistosome infections are treated and allergic reactions reassessed.
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Affiliation(s)
- B B Obeng
- Department of Parasitology, Leiden University Medical Centre, Leiden, The Netherlands; Department of Parasitology, Noguchi Memorial Institute for Medical Research, Accra, Ghana
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Penning M, Kelder T, Uh HW, Cohen D, Scherjon S, Bruijn JA, Bloemenkamp K, Baelde H. OS092. qPCR-based analysis of podocyturia is a feasible diagnostic tool in preeclampsia. Pregnancy Hypertens 2012; 2:228. [PMID: 26105306 DOI: 10.1016/j.preghy.2012.04.093] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
INTRODUCTION Preeclampsia affects 5% of all pregnancies and is a significant cause of maternal and fetal morbidity and mortalityworldwide. A clinically useful screening test that can predict the development of preeclampsia at an early stage is urgently needed. The detection of podocyturia by immunohistochemistry following cell culture has been noted as a sensitive and specific marker for preeclampsia. However, this method is laborious and carries the risk of cell-culture contamination. OBJECTIVES The aim of this study was to investigate the diagnostic value of qPCR as a rapid and sensitive method to detect podocyturia in women with preeclampsia. METHODS Mid-stream urine samples were collected from preeclamptic [1] (n=35), healthy pregnant matched for gestational age (n=34), and healthy non-pregnant (n=12) women. mRNA was isolated using the Trizol method. qPCR analysis was performed for nephrin, VEGF, podocin, GAPDH and megalin transcripts. A ROC-curve analysis was performed. RESULTS Significantly elevated mRNA expression levels of nephrin, podocin and VEGF were detected in preeclamptic women compared to healthy pregnant and healthy non-pregnant controls. A positive correlation (ρ=0.82, p<0.0001) was observed between nephrin and VEGF mRNA expression in preeclamptic women. ROC curve analyses demonstrated a strong ability of this method to discriminate between the different study groups. CONCLUSION qPCR analysis of podocyte-specific molecules in urine samples is a rapid and reliable method to quantify podocyturia. We demonstrate that this method distinguishes preeclamptic patients from healthy controls at disease onset. This method may be a tool for the detection of preeclampsia at an earlier stage, thereby preventing maternal and fetal morbidity and mortality.
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Affiliation(s)
- M Penning
- Pathology, Leiden University Medical Center, Leiden, Netherlands
| | - T Kelder
- Biomedical Statistics, Leiden University Medical Center, Leiden, Netherlands
| | - H-W Uh
- Biomedical Statistics, Leiden University Medical Center, Leiden, Netherlands
| | - D Cohen
- Pathology, Leiden University Medical Center, Leiden, Netherlands
| | - S Scherjon
- Obstetrics, Leiden University Medical Center, Leiden, Netherlands
| | - J A Bruijn
- Pathology, Leiden University Medical Center, Leiden, Netherlands
| | - K Bloemenkamp
- Obstetrics, Leiden University Medical Center, Leiden, Netherlands
| | - H Baelde
- Pathology, Leiden University Medical Center, Leiden, Netherlands
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