Quantitative Phenotyping of Xenopus Embryonic Heart Pathophysiology Using Hemoglobin Contrast Subtraction Angiography to Screen Human Cardiomyopathies

Congenital heart disease (CHD) is a significant cause of mortality in infants and adults. Currently human genomic analysis has identified a number of candidate genes in these patients. These genes span diverse categories of gene function suggesting that despite the similarity in cardiac lesion, the underlying pathophysiology may be different. In fact, patients with similar CHDs can have drastically different outcomes, including a dramatic decrease in myocardial function. To test these human candidate genes for their impact on myocardial function, we need efficient animals models of disease. For this purpose, we paired Xenopus tropicalis with our microangiography technique, hemoglobin contrast subtraction angiography (HCSA). To demonstrate the gene-teratogen-physiology relationship, we modeled human cardiomyopathy in tadpoles. First we depleted the sarcomeric protein myosin heavy chain 6 (myh6) expression using morpholino oligos. Next, we exposed developing embryos to the teratogen ethanol and in both conditions showed varying degrees of cardiac dysfunction. Our results demonstrate that HCSA can distinguish biomechanical phenotypes in the context of gene dysfunction or teratogen. This approach can be used to screen numerous candidate CHD genes or suspected teratogens for their effect on cardiac function.

[1]  Birth prevalence , 2020, Definitions.

[2]  Correction to: Genetic Basis for Congenital Heart Disease: Revisited: A Scientific Statement From the American Heart Association. , 2018, Circulation.

[3]  W. Chung,et al.  Genetic Basis for Congenital Heart Disease: Revisited: A Scientific Statement From the American Heart Association. , 2018, Circulation.

[4]  K. B. Manheimer,et al.  Robust identification of mosaic variants in congenital heart disease , 2018, Human Genetics.

[5]  Thanh T. Hoang,et al.  The Congenital Heart Disease Genetic Network Study: Cohort description , 2018, PloS one.

[6]  Emily K. Mis,et al.  CRISPR/Cas9 F0 Screening of Congenital Heart Disease Genes in Xenopus tropicalis. , 2018, Methods in molecular biology.

[7]  Yufeng Shen,et al.  Contribution of rare inherited and de novo variants in 2,871 congenital heart disease probands , 2017, Nature Genetics.

[8]  Shang Wang,et al.  Speckle variance optical coherence tomography of blood flow in the beating mouse embryonic heart , 2017, Journal of biophotonics.

[9]  M. Brueckner,et al.  Genetics and Genomics of Congenital Heart Disease. , 2017, Circulation research.

[10]  M. Choma,et al.  Analysis of Craniocardiac Malformations in Xenopus using Optical Coherence Tomography , 2017, Scientific Reports.

[11]  Yufeng Shen,et al.  Loss of RNA expression and allele-specific expression associated with congenital heart disease , 2016, Nature Communications.

[12]  Kirill V Larin,et al.  Four‐dimensional live imaging of hemodynamics in mammalian embryonic heart with Doppler optical coherence tomography , 2016, Journal of biophotonics.

[13]  M. Hurles,et al.  De Novo and Rare Variants at Multiple Loci Support the Oligogenic Origins of Atrioventricular Septal Heart Defects , 2016, PLoS genetics.

[14]  Gerjo Kok,et al.  Worldwide Prevalence of Fetal Alcohol Spectrum Disorders: A Systematic Literature Review Including Meta-Analysis. , 2016, Alcoholism, clinical and experimental research.

[15]  Stephan J Sanders,et al.  De novo mutations in congenital heart disease with neurodevelopmental and other congenital anomalies , 2015, Science.

[16]  Yufeng Shen,et al.  Increased Frequency of De Novo Copy Number Variants in Congenital Heart Disease by Integrative Analysis of Single Nucleotide Polymorphism Array and Exome Sequence Data , 2014, Circulation research.

[17]  E. McPherson,et al.  Stillbirth: The heart of the matter , 2014, American journal of medical genetics. Part A.

[18]  Ganga Karunamuni,et al.  Ethanol exposure alters early cardiac function in the looping heart: a mechanism for congenital heart defects? , 2014, American journal of physiology. Heart and circulatory physiology.

[19]  Murim Choi,et al.  De novo mutations in histone modifying genes in congenital heart disease , 2013, Nature.

[20]  G. Allan Johnson,et al.  Constructing a 4D murine cardiac micro-CT atlas for automated segmentation and phenotyping applications , 2013, Medical Imaging.

[21]  M. Choma,et al.  Endogenous contrast blood flow imaging in embryonic hearts using hemoglobin contrast subtraction angiography. , 2012, Optics letters.

[22]  Michael F. Walker,et al.  De novo mutations revealed by whole-exome sequencing are strongly associated with autism , 2012, Nature.

[23]  D. Srivastava,et al.  Genetics of Human Cardiovascular Disease , 2012, Cell.

[24]  M. Khokha Xenopus white papers and resources: Folding functional genomics and genetics into the frog , 2012, Genesis.

[25]  A. Roos,et al.  Imaging of patients with congenital heart disease , 2012, Nature Reviews Cardiology.

[26]  M. Khokha,et al.  Generating diploid embryos from Xenopus tropicalis. , 2012, Methods in molecular biology.

[27]  C. Cua,et al.  Echocardiographic evaluation of the single right ventricle in congenital heart disease: results of new techniques. , 2012, Circulation journal : official journal of the Japanese Circulation Society.

[28]  E. Nabel,et al.  Genomics of cardiovascular disease. , 2011, The New England journal of medicine.

[29]  J. Roos‐Hesselink,et al.  Birth prevalence of congenital heart disease worldwide: a systematic review and meta-analysis. , 2011, Journal of the American College of Cardiology.

[30]  Kirill V. Larin,et al.  Increasing the field-of-view of dynamic cardiac OCT via post-acquisition mosaicing without affecting frame-rate or spatial resolution , 2011, Biomedical optics express.

[31]  J. Belmont,et al.  Rare copy number variations in congenital heart disease patients identify unique genes in left-right patterning , 2011, Proceedings of the National Academy of Sciences.

[32]  H. Hoyme,et al.  Fetal alcohol spectrum disorders: Extending the range of structural defects , 2010, American journal of medical genetics. Part A.

[33]  David L Wilson,et al.  Measuring hemodynamics in the developing heart tube with four-dimensional gated Doppler optical coherence tomography. , 2010, Journal of biomedical optics.

[34]  Benjamin J Vakoc,et al.  Heart wall velocimetry and exogenous contrast-based cardiac flow imaging in Drosophila melanogaster using Doppler optical coherence tomography. , 2010, Journal of biomedical optics.

[35]  C. Dlugos,et al.  Structural and functional effects of developmental exposure to ethanol on the zebrafish heart. , 2010, Alcoholism, clinical and experimental research.

[36]  N. Norton,et al.  Coding Sequence Rare Variants Identified in MYBPC3, MYH6, TPM1, TNNC1, and TNNI3 From 312 Patients With Familial or Idiopathic Dilated Cardiomyopathy , 2010, Circulation. Cardiovascular genetics.

[37]  Gordan Samoukovic,et al.  The challenge of congenital heart disease worldwide: epidemiologic and demographic facts. , 2010, Seminars in thoracic and cardiovascular surgery. Pediatric cardiac surgery annual.

[38]  Jörg Männer,et al.  In vivo imaging of the cyclic changes in cross‐sectional shape of the ventricular segment of pulsating embryonic chick hearts at stages 14 to 17: A contribution to the understanding of the ontogenesis of cardiac pumping function , 2009, Developmental dynamics : an official publication of the American Association of Anatomists.

[39]  A. Sater,et al.  Absence of heartbeat in the Xenopus tropicalis mutation muzak is caused by a nonsense mutation in cardiac myosin myh6 , 2009, Developmental biology.

[40]  J. Izatt,et al.  In vivo spectral domain optical coherence tomography volumetric imaging and spectral Doppler velocimetry of early stage embryonic chicken heart development. , 2008, Journal of the Optical Society of America. A, Optics, image science, and vision.

[41]  Emilio Esparza-Coss,et al.  Wireless self‐gated multiple‐mouse cardiac cine MRI , 2008, Magnetic resonance in medicine.

[42]  Benjamin J Vakoc,et al.  Multimodality optical imaging of embryonic heart microstructure. , 2007, Journal of biomedical optics.

[43]  Marc S Ramirez,et al.  A practical method for 2D multiple‐animal MRI , 2007, Journal of magnetic resonance imaging : JMRI.

[44]  Vikas Kundra,et al.  Feasibility of multiple‐mouse dynamic contrast‐enhanced MRI , 2007, Magnetic resonance in medicine.

[45]  P. Morcos Achieving targeted and quantifiable alteration of mRNA splicing with Morpholino oligos. , 2007, Biochemical and biophysical research communications.

[46]  D. Srivastava,et al.  Genetic basis for congenital heart defects: current knowledge: a scientific statement from the American Heart Association Congenital Cardiac Defects Committee, Council on Cardiovascular Disease in the Young: endorsed by the American Academy of Pediatrics. , 2007, Circulation.

[47]  P. Krieg,et al.  Xenopus as a model system for vertebrate heart development. , 2007, Seminars in cell & developmental biology.

[48]  A. Marelli,et al.  Congenital Heart Disease in the General Population: Changing Prevalence and Age Distribution , 2006, Circulation.

[49]  Guido Gerig,et al.  User-guided 3D active contour segmentation of anatomical structures: Significantly improved efficiency and reliability , 2006, NeuroImage.

[50]  J. Seidman,et al.  Cardiovascular Genomics , 2006, Circulation.

[51]  Daniel L Marks,et al.  Three-dimensional optical coherence tomography of the embryonic murine cardiovascular system. , 2006, Journal of biomedical optics.

[52]  R. L. Floyd,et al.  Monitoring prenatal alcohol exposure , 2004, American journal of medical genetics. Part C, Seminars in medical genetics.

[53]  B E Bouma,et al.  Rapid acquisition of in vivo biological images by use of optical coherence tomography. , 1996, Optics letters.

[54]  J. Faber,et al.  Normal table of Xenopus laevis (Daudin). A systematical and chronological survey of the development from the fertilized egg till the end of metamorphosis. , 1956 .

[55]  Congenital Heart Disease in the General Population: Changing Prevalence and Age , 2022 .