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Hui SCN, Andescavage N, Limperopoulos C. The Role of Proton Magnetic Resonance Spectroscopy in Neonatal and Fetal Brain Research. J Magn Reson Imaging 2025. [PMID: 39835523 DOI: 10.1002/jmri.29709] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2024] [Revised: 12/24/2024] [Accepted: 12/28/2024] [Indexed: 01/22/2025] Open
Abstract
The biochemical composition and structure of the brain are in a rapid change during the exuberant stage of fetal and neonatal development. 1H-MRS is a noninvasive tool that can evaluate brain metabolites in healthy fetuses and infants as well as those with neurological diseases. This review aims to provide readers with an understanding of 1) the basic principles and technical considerations relevant to 1H-MRS in the fetal-neonatal brain and 2) the role of 1H-MRS in early fetal-neonatal development brain research. We performed a PubMed search to identify original studies using 1H-MRS in neonates and fetuses to establish the clinical applications of 1H-MRS. The eligible studies for this review included original research with 1H-MRS applications to the fetal-neonatal brain in healthy and high-risk conditions. We ran our search between 2000 and 2023, then added in several high-impact landmark publications from the 1990s. A total of 366 results appeared. After, we excluded original studies that did not include fetuses or neonates, non-proton MRS and non-neurological studies. Eventually, 110 studies were included in this literature review. Overall, the function of 1H-MRS in healthy fetal-neonatal brain studies focuses on measuring the change of metabolite concentrations during neurodevelopment and the physical properties of the metabolites such as T1/T2 relaxation times. For high-risk neonates, studies in very low birth weight preterm infants and full-term neonates with hypoxic-ischemic encephalopathy, along with examining the associations between brain biochemistry and cognitive neurodevelopment are most common. Additional high-risk conditions included infants with congenital heart disease or metabolic diseases, as well as fetuses of pregnant women with hypertensive disorders were of specific interest to researchers using 1H-MRS. EVIDENCE LEVEL: 1 TECHNICAL EFFICACY: Stage 2.
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Affiliation(s)
- Steve C N Hui
- Developing Brain Institute, Children's National Hospital, Washington, D.C., USA
- Department of Radiology, The George Washington University School of Medicine and Health Sciences, Washington, D.C., USA
- Department of Pediatrics, The George Washington University School of Medicine and Health Sciences, Washington, D.C., USA
| | - Nickie Andescavage
- Developing Brain Institute, Children's National Hospital, Washington, D.C., USA
- Department of Pediatrics, The George Washington University School of Medicine and Health Sciences, Washington, D.C., USA
- Division of Neonatology, Children's National Hospital, Washington, D.C., USA
| | - Catherine Limperopoulos
- Developing Brain Institute, Children's National Hospital, Washington, D.C., USA
- Department of Radiology, The George Washington University School of Medicine and Health Sciences, Washington, D.C., USA
- Department of Pediatrics, The George Washington University School of Medicine and Health Sciences, Washington, D.C., USA
- Prenatal Pediatric Institute, Children's National Hospital, Washington, D.C., USA
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Payette K, Uus AU, Kollstad E, Aviles Verdera J, Gallo D, Hall M, Hajnal JV, Rutherford MA, Story L, Hutter J. T 2* relaxometry of fetal brain structures using low-field (0.55T) MRI. Magn Reson Med 2024. [PMID: 39737688 DOI: 10.1002/mrm.30409] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2024] [Revised: 11/28/2024] [Accepted: 12/05/2024] [Indexed: 01/01/2025]
Abstract
PURPOSE Human brain development during gestation is complex, as both structure and function are rapidly forming. Structural imaging methods using MRI are well developed to explore these changes, but functional imaging tools are lacking. Low-field MRI is a promising modality to bridge this gap. The longer intrinsic T2* values at low field strengths increase the dynamic range and enable the quantification of individual brain regions with low T2* values, such as deep gray matter. This study investigates regional brain T2* quantification throughout the second half of gestation on low-field 0.55T MRI. METHODS Dynamic multi-echo gradient-echo sequences were acquired in 135 cases at 0.55 T between 20 and 40 weeks' gestation. Automatic high-resolution reconstruction and segmentation tools were developed, resulting in T2* values of seven individual anatomical brain structures for each subject. These regional brain T2* values were analyzed throughout gestation. RESULTS All regional fetal brain T2* values decreased throughout gestation (p < 0.01). Each anatomical brain structure had varying ranges and decay rates, with the cerebellum and white matter displaying the highest (nonfluid structure) values, with the maximum values between 350 and 400 ms at about 20 weeks. The brainstem and deep gray matter had the lowest range of T2* values, reaching values of 250 ms early in gestation. The matched volumetric assessment of the different structures demonstrated expected growth, matching current literature. CONCLUSION Low-field MRI allows for a detailed, regional T2* analysis of the fetal brain, with more inclusive norms to be developed due to its wider bore.
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Affiliation(s)
- Kelly Payette
- Research Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
- Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - Alena U Uus
- Research Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
- Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - Ella Kollstad
- Department of Women & Children's Health, King's College London, London, UK
- Brighton and Sussex Medical School, Brighton, UK
| | - Jordina Aviles Verdera
- Research Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
- Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - Dario Gallo
- Research Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
- Guys and St. Thomas' NHS Foundation Trust, London, UK
| | - Megan Hall
- Research Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
- Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
- Department of Women & Children's Health, King's College London, London, UK
| | - Joseph V Hajnal
- Research Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
- Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - Mary A Rutherford
- Research Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - Lisa Story
- Research Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
- Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
- Department of Women & Children's Health, King's College London, London, UK
| | - Jana Hutter
- Research Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
- Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
- Smart Imaging Lab, Radiological Institute, University Hospital Erlangen, Erlangen, Germany
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刘 玉, 刘 天, 农 绍, 周 晓. [Research progress on neurodevelopmental disorders associated with congenital heart disease]. ZHONGGUO DANG DAI ER KE ZA ZHI = CHINESE JOURNAL OF CONTEMPORARY PEDIATRICS 2024; 26:1231-1237. [PMID: 39587754 PMCID: PMC11601115 DOI: 10.7499/j.issn.1008-8830.2406063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 06/14/2024] [Accepted: 10/08/2024] [Indexed: 11/27/2024]
Abstract
The incidence and disability rate of neurodevelopmental disorders in children are high, making it a significant public health issue affecting children's health globally. Neurodevelopmental disorders are particularly common in children with congenital heart disease (CHD), with clinical characteristics varying by type of CHD, surgical approach, age stage, and the presence of different complications or comorbidities. In recent years, based on the intervention model of "early diagnosis and early treatment," foreign studies have begun to explore new techniques for preventive early intervention in high-risk children with neurodevelopmental disorders, achieving promising results. This paper reviews the clinical characteristics of neurodevelopmental disorders associated with CHD, aiming to provide a theoretical basis for implementing new preventive early intervention techniques for children with CHD, thereby further reducing the incidence of neurodevelopmental disorders associated with CHD.
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Affiliation(s)
| | - 天钰 刘
- 中山大学附属第八医院新生儿科,广东深圳518033
| | | | - 晓光 周
- 中山大学附属第八医院新生儿科,广东深圳518033
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Martínez MAA, Bautista LFC, Hernández-Carrillo M, Montero AFS. Cardiovascular Ultrasound Predictors for Brain Alterations in Fetuses With Heart Disease: An Exploratory Review of the Literature. Birth Defects Res 2024; 116:e2402. [PMID: 39400997 DOI: 10.1002/bdr2.2402] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2024] [Revised: 09/16/2024] [Accepted: 09/21/2024] [Indexed: 10/15/2024]
Abstract
OBJECTIVE To identify cardiovascular ultrasound predictors for brain anomalies in fetuses with heart disease. METHODS A literature search was performed in the following databases: MEDLINE through OVID, EMBASE, Cochrane Registry Center for Controlled Trials (CENTRAL), and LILACS, from their inception until May 2023. Clinical studies, cross-sectional studies, case-control studies, cohorts, and systematic reviews were included. Data extraction was performed, and the risk of bias was assessed using the QUADAS-2 tool. RESULTS Among 2705 studies evaluated, after filtering information, 10 articles were selected that met the inclusion criteria. These studies noted the following outcomes: a decrease in fetal head circumference, changes in brain maturation measured in days, decreased depth of brain fissures, and a decrease in total brain volume. The studies show a statistically significant correlation with the presence of the following cardiovascular predictors: low or mixed oxygen content in the ascending aorta (p < 0.001), retrograde flow in the aortic arch (p < 0.001), lower z values of the MCA-PI (p < 0.05), higher UA-PI z values (p < 0.01), and lower CPR (p < 0.05). In addition, lower values of left ventricular flow (p < 0.01), ductus arteriosus (p < 0.0001), and combined cardiac output index (p < 0.01) were reported. CONCLUSIONS This review describes the most relevant evidence correlating the effects of hemodynamic changes that lead to states of chronic hypoxia related to the aforementioned changes in the central nervous system.
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Affiliation(s)
| | | | - Mauricio Hernández-Carrillo
- Statistician, Master in Epidemiology, Doctor in Health, Graduate Professor Universidad Libre Seccional Cali, Cali, Colombia
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Yang F, Zhong J, Liu P, Yu W, Liu Y, Zhu M, Yang M, Mo X. Radiomics with structural magnetic resonance imaging, surface morphometry features, neurology scales, and clinical metrics to evaluate the neurodevelopment of preschool children with corrected tetralogy of Fallot. Transl Pediatr 2024; 13:1571-1587. [PMID: 39399711 PMCID: PMC11467234 DOI: 10.21037/tp-24-219] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/05/2024] [Accepted: 09/03/2024] [Indexed: 10/15/2024] Open
Abstract
Background Despite the improved survival rates of children with tetralogy of Fallot (TOF), various degrees of neurodevelopmental disorders persist. Currently, there is a lack of quantitative and objective imaging markers to assess the neurodevelopment of individuals with TOF. This study aimed to noninvasively examine potential quantitative imaging markers of TOF neurodevelopment by combining radiomics signatures and morphological features and to further clarify the relationship between imaging markers and clinical neurodevelopment metrics. Methods This study included 33 preschool children who had undergone surgical correction for TOF and 29 healthy controls (36 in the training cohort and 26 in the testing cohort), all of whom underwent three-dimensional T1-weighted high-resolution (T1-3D) head magnetic resonance imaging (MRI). Radiomics features were extracted by Pyradiomics to construct radiomics models, while surface morphometry (surface and volumetric) features were analyzed to build morphometry models. Merged models integrating radiomics and morphometry features were subsequently developed. The optimal discriminative radiomics signatures were identified via least absolute shrinkage and selection operator (LASSO). Machine learning classification models include support vector machine (SVM) with radial basis function (RBF) and multivariable logistic regression (MLR) models, both of which were used to evaluate the potential imaging biomarkers. Performances of models were evaluated based on their calibration and classification metrics. The area under the receiver operating characteristic curves (AUCs) of the models were evaluated using the Delong test. Neurodevelopmental assessments for children with corrected TOF were conducted with the Wechsler Preschool and Primary Scale of Intelligence-Fourth Edition (WPPSI-IV). Furthermore, the correlation of the significant discriminative indicators with clinical metrics and neurodevelopmental scales was evaluated. Results Twelve discriminative radiomics signatures, optimized for classification, were identified. The performance of the merged model (AUCs of 0.922 and 0.917 for the training set and test set with SVM, respectively) was superior to that of the single radiomics model (AUCs of 0.915 and 0.917 for the training set and test set with SVM, respectively) and that of the single morphometric models (AUCs of 0.803 and 0.756 for the training set and test set with SVM, respectively). The radiomics model demonstrated higher significance than did the morphometric models in training set with SVM (AUC: 0.915 vs. 0.803; P<0.001). Additionally, the significant indicators showed a correlation with clinical indicators and neurodevelopmental scales. Conclusions MRI-based radiomics features combined with morphometry features can provide complementary information to identify neurodevelopmental abnormalities in children with corrected TOF, which will provide potential evidence for clinical diagnosis and treatment.
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Affiliation(s)
- Feng Yang
- Department of Radiology, Children’s Hospital of Nanjing Medical University, Nanjing, China
| | - Jingjing Zhong
- Department of Radiology, Children’s Hospital of Nanjing Medical University, Nanjing, China
| | - Peng Liu
- Department of Radiology, Children’s Hospital of Nanjing Medical University, Nanjing, China
| | - Wei Yu
- Department of Radiology, Children’s Hospital of Nanjing Medical University, Nanjing, China
| | | | - Meijiao Zhu
- Department of Radiology, Children’s Hospital of Nanjing Medical University, Nanjing, China
| | - Ming Yang
- Department of Radiology, Children’s Hospital of Nanjing Medical University, Nanjing, China
| | - Xuming Mo
- Department of Cardiothoracic Surgery, Children’s Hospital of Nanjing Medical University, Nanjing, China
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Yaqoob H, Ahmad H, Ali SI, Patel N, Arif A. Missense mutations in the CITED2 gene may contribute to congenital heart disease. BMC Cardiovasc Disord 2024; 24:516. [PMID: 39333893 PMCID: PMC11429617 DOI: 10.1186/s12872-024-04035-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2024] [Accepted: 07/08/2024] [Indexed: 09/30/2024] Open
Abstract
BACKGROUND Congenital heart disease (CHD) is a lifelong abnormality present from birth. Multiple studies have shown that mutations in genes involved in heart development could cause congenital heart disease. The CITED2 gene works as a transcription factor in the hypoxic pathway for the development of the heart. Therefore, five CHD types, ventricular septal defect, atrial septal defect, atrioventricular septal defect, tetralogy of fallot, and patent ductus arteriosus, were evaluated by conducting a targeted single nucleotide polymorphism (SNP) analysis of the CITED2 gene variant rs375393125 (T > C). This study aimed to identify the association of CITED2 gene mutations in CHD patients. METHODS Three hundred fifty samples, 250 from patients and 100 from controls, were collected for this genetic analysis. Allele-specific PCR and gel electrophoresis were used to identify the target missense mutations. The genotypic results of the CHDs were further validated through Sanger sequencing. RESULTS The frequency of the homozygous mutant (CC) in CHD patients was 48.4%, and of the heterozygous mutant (TC) genotype was 11.4%; these percentages are higher than controls (1%). The control samples had only one heterozygous TC and no homozygous CC genotype. The chi-square value was obtained at 103.9 with a probability of 0.05, more significant than the significance value of 21.03. The odds ratio was 43.7, which is > 1. The calculated value of ANOVA was 11.6, which was more significant than the F critical value of 3.7. As a result of sequencing, the mutant sample of each selected CHD type was found heterozygous or homozygous, and the results were like those obtained through conventional PCR. CONCLUSION The samples of CHD patients showed mutations. Therefore, the CITED2 gene SNP might be associated with CHD.
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Affiliation(s)
- Hira Yaqoob
- The Karachi Institute of Biotechnology and Genetic Engineering, University of Karachi, Karachi, Pakistan
| | - Hussain Ahmad
- The Karachi Institute of Biotechnology and Genetic Engineering, University of Karachi, Karachi, Pakistan
| | - Syed Irtiza Ali
- The Karachi Institute of Biotechnology and Genetic Engineering, University of Karachi, Karachi, Pakistan
| | - Najma Patel
- National Institute of Cardiovascular Diseases Pakistan Rafiqui (H.J.), Shaheed Road, Karachi, Pakistan
| | - Afsheen Arif
- The Karachi Institute of Biotechnology and Genetic Engineering, University of Karachi, Karachi, Pakistan.
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7
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O'Byrne ML, Baxelbaum K, Tam V, Griffis H, Pennington ML, Hagerty A, Naim MY, Nicolson SC, Shillingford AJ, Sutherland TN, Hampton LE, Gebregiorgis NG, Nguyen T, Ramos E, Rossano JW. Association of Postnatal Opioid Exposure and 2-Year Neurodevelopmental Outcomes in Infants Undergoing Cardiac Surgery. J Am Coll Cardiol 2024; 84:1010-1021. [PMID: 39232628 DOI: 10.1016/j.jacc.2024.06.033] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/14/2024] [Revised: 05/31/2024] [Accepted: 06/04/2024] [Indexed: 09/06/2024]
Abstract
BACKGROUND Opioids are commonly used to provide analgesia during and after congenital heart surgery. The effects of exposure to opioids on neurodevelopment in neonates and infants are not well understood. OBJECTIVES This study sought to evaluate the associations between cumulative opioid exposure (measured in morphine mg equivalent) over the first year of life and 2-year neurodevelopmental outcomes (Bayley Scales of Infant and Toddler Development-Third/Fourth Edition [Bayley-III/IV] cognitive, language, and motor scores). METHODS A single-center retrospective cohort study of infants undergoing congenital heart surgery was performed. Adjustment for measurable confounders was performed through multivariable linear regression. RESULTS A total of 526 subjects were studied, of whom 32% underwent Society for Thoracic Surgeons-European Association for Cardio-Thoracic Surgery category 4 or 5 operations. In unadjusted analyses, higher total exposure to opioids was associated with worse scores across all 3 Bayley-III/IV domain scores (all P < 0.05). After adjustment for measured confounders, greater opioid exposure was associated with lower Bayley-III/IV scores (cognitive: β = -1.0 per log-transformed morphine mg equivalents, P = 0.04; language: β = -1.2, P = 0.04; and motor: β = -1.1, P = 0.02). Total hospital length of stay, prematurity, genetic syndromes, and worse neighborhood socioeconomic status (represented either by Social Vulnerability Index or Childhood Opportunity Index) were all associated with worse Bayley-III/IV scores across all domains (all P < 0.05). CONCLUSIONS Greater postnatal exposure to opioids was associated with worse neurodevelopmental outcomes across cognitive, language, and motor domains, independent of other less modifiable factors. This finding should motivate research and efforts to explore reduction in opioid exposure while preserving quality cardiac intensive care.
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Affiliation(s)
- Michael L O'Byrne
- Division of Cardiology, The Children's Hospital of Philadelphia, Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA; Leonard Davis Institute, University of Pennsylvania, Philadelphia, Pennsylvania, USA; Clinical Futures, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA; Cardiovascular Outcomes, Quality, and Evaluative Research Center, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA.
| | - Keith Baxelbaum
- Data Science and Biostatistics Unit, Department of Biomedical and Health Informatics, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Vicky Tam
- Data Science and Biostatistics Unit, Department of Biomedical and Health Informatics, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Heather Griffis
- Data Science and Biostatistics Unit, Department of Biomedical and Health Informatics, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Maryjane L Pennington
- Data Science and Biostatistics Unit, Department of Biomedical and Health Informatics, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Alyssa Hagerty
- Department of Pharmacy, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Maryam Y Naim
- Division of Cardiac Critical Care, Department of Anesthesiology and Critical Care Medicine, The Children's Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Susan C Nicolson
- Division of Cardiac Anesthesia, Department of Anesthesiology and Critical Care Medicine, The Children's Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Amanda J Shillingford
- Division of Cardiology, The Children's Hospital of Philadelphia, Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Tori N Sutherland
- Leonard Davis Institute, University of Pennsylvania, Philadelphia, Pennsylvania, USA; Clinical Futures, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA; Division of Pediatric Anesthesia, Department of Anesthesiology and Critical Care Medicine, The Children's Hospital of Philadelphia, and Penn Center for Perioperative Research and Transformation Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Lyla E Hampton
- Department of Child and Adolescent Psychiatry, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA; Department of Behavioral Sciences, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Nebiat G Gebregiorgis
- Division of Cardiology, The Children's Hospital of Philadelphia, Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Thuyvi Nguyen
- Division of Cardiology, The Children's Hospital of Philadelphia, Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Elizabeth Ramos
- Division of Cardiology, The Children's Hospital of Philadelphia, Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Joseph W Rossano
- Division of Cardiology, The Children's Hospital of Philadelphia, Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA; Leonard Davis Institute, University of Pennsylvania, Philadelphia, Pennsylvania, USA; Clinical Futures, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
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Schmid AS, Ehrler M, Naef N, Kretschmar O, Rousson V, Tuura R, Wehrle FM, Latal B. Processing Speed Partially Mediates Executive Function Impairments in Adolescents with Congenital Heart Disease: Results from a Prospective Cohort Study. J Pediatr 2024; 272:114091. [PMID: 38734135 DOI: 10.1016/j.jpeds.2024.114091] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Revised: 04/19/2024] [Accepted: 05/05/2024] [Indexed: 05/13/2024]
Abstract
OBJECTIVE To assess processing speed, fine motor function, attention, and executive function (EF) impairments in adolescents with complex congenital heart disease (CHD) who underwent open-heart surgery during infancy. STUDY DESIGN We administered a comprehensive neuropsychological test battery evaluating 5 EF domains: working memory, inhibition, cognitive flexibility, fluency, and planning and primary neurodevelopmental processes (PNPs): processing speed, fine motor function, and attention. The sample included 100 adolescents with complex CHD from a previous University Children's Hospital Zurich study, with 104 healthy controls for comparison. We generated scores for each EF domain and computed an EF summary score. Group comparisons and associations were analyzed with multiple regressions accounting for parental education. Mediation analysis explored how PNPs mediate the effect between a CHD diagnosis and EF. RESULTS In adolescents with complex CHD, all EF domains and the EF summary score were impaired (β = 0.20 to 0.37, all P < .05). Furthermore, they exhibited slower processing speed (β = 0.27, P < .01) than healthy controls, with no differences in attention (β = -0.07, P = .34) and fine motor function (β = 0.08, P = .34). Processing speed showed a strong association with the EF summary score (β = 0.60, P < .001) and partially mediated the relationship between CHD diagnosis and the EF summary score (β = 0.37, 95% CI [0.24, 0.50], P < .001). CONCLUSION Adolescents with complex CHD show difficulties in EFs and processing speed. Notably, processing speed is strongly associated with EFs and partly accounts for EFs disparities between patients and healthy controls. Early detection and interventions for processing speed difficulties may improve EF outcomes in these patients.
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Affiliation(s)
- Alenka S Schmid
- Child Development Center, University Children's Hospital Zurich, Zurich, Switzerland
| | - Melanie Ehrler
- Child Development Center, University Children's Hospital Zurich, Zurich, Switzerland; University Research Priority Program (URPP), Adaptive Brain Circuits in Development and Learning (AdaBD), University of Zurich, Zurich, Switzerland; Children's Research Center, University Children's Hospital Zurich, Zurich, Switzerland
| | - Nadja Naef
- Child Development Center, University Children's Hospital Zurich, Zurich, Switzerland
| | - Oliver Kretschmar
- Children's Research Center, University Children's Hospital Zurich, Zurich, Switzerland; Department of Cardiology, University Children's Hospital Zurich, Zurich, Switzerland; Medical Faculty, University of Zurich, Zurich, Switzerland
| | - Valentin Rousson
- Division of Biostatistics, Center for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland
| | - Ruth Tuura
- Children's Research Center, University Children's Hospital Zurich, Zurich, Switzerland; Medical Faculty, University of Zurich, Zurich, Switzerland; MR Research Centre, University Children Hospital Zurich, Zurich, Switzerland
| | - Flavia M Wehrle
- Child Development Center, University Children's Hospital Zurich, Zurich, Switzerland; Children's Research Center, University Children's Hospital Zurich, Zurich, Switzerland; Medical Faculty, University of Zurich, Zurich, Switzerland; Department of Neonatology and Intensive Care, University Children's Hospital Zurich, Zurich, Switzerland
| | - Beatrice Latal
- Child Development Center, University Children's Hospital Zurich, Zurich, Switzerland; Children's Research Center, University Children's Hospital Zurich, Zurich, Switzerland; Medical Faculty, University of Zurich, Zurich, Switzerland.
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9
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Hou X, Yu M, Liu Y, Yan L. MRI in the prenatal genetic diagnosis and intrauterine treatment of fetal congenital cystic adenoma of the lung. J Cardiothorac Surg 2024; 19:502. [PMID: 39198908 PMCID: PMC11351084 DOI: 10.1186/s13019-024-02868-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2024] [Accepted: 06/14/2024] [Indexed: 09/01/2024] Open
Abstract
OBJECTIVE To investigate the value of magnetic resonance examination technique for prenatal genetic diagnosis and clinical intrauterine treatment of fetal congenital cystic adenoma (CCAM) of the lung. METHODS A retrospective analysis was conducted on 108 pregnant women admitted to a certain hospital from January 2016 to January 2022 for pre natal examination and consultation on eugenics. The selected pregnant women were aged 20-40 and had a gestational age of 17-36 weeks. Ultrasound and MRI examinations were performed on 108 pregnant women who met the inclusion criteria. Follow-up and investigation were conducted on the fetus after being diagnosed with CCAM. To analyze the results of prenatal genetic diagnosis, chromosome microarray analysis (CMA) was used to analyze samples with pathogenic Copy Number Variants (CNV) and identify pathogenic genes. Finally, the imaging diagnosis results obtained through statistical software were analyzed, and the correlation between pathogenic genes and CCAM, as well as the clinical application value of MRI in fetal intrauterine treatment was explored. RESULTS Among all cases, 68 fetuses were diagnosed with CCAM through ultrasound examination; 71 fetuses were diagnosed with CCAM through MRI examination. A total of 74 samples were confirmed as CCAM by autopsy and neonatal CT. The sensitivity, specificity, and accuracy of MRI in diagnosing fetal congenital CCAM were higher than those of ultrasound examination. The expression of CCAM was positively correlated with DUSP22, PRSS1, and SHOX, with all R values greater than 0.8. The clinical decision curve showed that when the probability of fetal CCAM was less than 0.03, the prenatal genetic diagnostic model of MRI was not applicable; But when the probability of fetal CCAM was higher than 0.05, the auxiliary intrauterine treatment effect that MRI diagnostic methods achieved was significantly better than conventional diagnosis. CONCLUSION MRI is significantly better than ultrasound in the diagnosis of CCAM, which can effectively improve the sensitivity of diagnosis and provide accurate information for the eugenics of pregnant women, and has high clinical application value.
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Affiliation(s)
- Xiaolin Hou
- Prenatal Diagnosis Center, The Fourth Hospital of Shijiazhuang (The Obstetrics and Gynecology Hospital of Hebei Medical University), Shijiazhuang, Hebei, China
| | - Mei Yu
- Prenatal Diagnosis Center, The Fourth Hospital of Shijiazhuang (The Obstetrics and Gynecology Hospital of Hebei Medical University), Shijiazhuang, Hebei, China
| | - Ying Liu
- Obstetrical Department VIII, The Fourth Hospital of Shijiazhaung (The Obstetrics and Gynecology Hospital of Hebei Medical University), Shijiazhuang, Hebei, China.
| | - Liwei Yan
- Neonatal Surgery, The Fourth Hospital of Shijiazhuang (The Obstetrics and Gynecology Hospital of Hebei Medical University), Shijiazhuang, Hebei, China
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10
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Cromb D, Uus A, Van Poppel MP, Steinweg JK, Bonthrone AF, Maggioni A, Cawley P, Egloff A, Kyriakopolous V, Matthew J, Price A, Pushparajah K, Simpson J, Razavi R, DePrez M, Edwards D, Hajnal J, Rutherford M, Lloyd DF, Counsell SJ. Total and Regional Brain Volumes in Fetuses With Congenital Heart Disease. J Magn Reson Imaging 2024; 60:497-509. [PMID: 37846811 PMCID: PMC7616254 DOI: 10.1002/jmri.29078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Revised: 09/30/2023] [Accepted: 10/02/2023] [Indexed: 10/18/2023] Open
Abstract
BACKGROUND Congenital heart disease (CHD) is common and is associated with impaired early brain development and neurodevelopmental outcomes, yet the exact mechanisms underlying these associations are unclear. PURPOSE To utilize MRI data from a cohort of fetuses with CHD as well as typically developing fetuses to test the hypothesis that expected cerebral substrate delivery is associated with total and regional fetal brain volumes. STUDY TYPE Retrospective case-control study. POPULATION Three hundred eighty fetuses (188 male), comprising 45 healthy controls and 335 with isolated CHD, scanned between 29 and 37 weeks gestation. Fetuses with CHD were assigned into one of four groups based on expected cerebral substrate delivery. FIELD STRENGTH/SEQUENCE T2-weighted single-shot fast-spin-echo sequences and a balanced steady-state free precession gradient echo sequence were obtained on a 1.5 T scanner. ASSESSMENT Images were motion-corrected and reconstructed using an automated slice-to-volume registration reconstruction technique, before undergoing segmentation using an automated pipeline and convolutional neural network that had undergone semi-supervised training. Differences in total, regional brain (cortical gray matter, white matter, deep gray matter, cerebellum, and brainstem) and brain:body volumes were compared between groups. STATISTICAL TESTS ANOVA was used to test for differences in brain volumes between groups, after accounting for sex and gestational age at scan. PFDR-values <0.05 were considered statistically significant. RESULTS Total and regional brain volumes were smaller in fetuses where cerebral substrate delivery is reduced. No significant differences were observed in total or regional brain volumes between control fetuses and fetuses with CHD but normal cerebral substrate delivery (all PFDR > 0.12). Severely reduced cerebral substrate delivery is associated with lower brain:body volume ratios. DATA CONCLUSION Total and regional brain volumes are smaller in fetuses with CHD where there is a reduction in cerebral substrate delivery, but not in those where cerebral substrate delivery is expected to be normal. EVIDENCE LEVEL 3 TECHNICAL EFFICACY: Stage 3.
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Affiliation(s)
- Daniel Cromb
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, UK
| | - Alena Uus
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, UK
- Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, UK
| | - Milou P.M. Van Poppel
- Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, UK
- Department of Cardiovascular Imaging, School of Biomedical Engineering and Imaging Science, King’s College London, London, UK
- Paediatric and Fetal Cardiology Department, Evelina London Children’s Hospital, London, UK
| | - Johannes K. Steinweg
- Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, UK
- Department of Cardiovascular Imaging, School of Biomedical Engineering and Imaging Science, King’s College London, London, UK
- Paediatric and Fetal Cardiology Department, Evelina London Children’s Hospital, London, UK
| | - Alexandra F. Bonthrone
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, UK
| | - Alessandra Maggioni
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, UK
| | - Paul Cawley
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, UK
- MRC Centre for Neurodevelopmental Disorders, King’s College London, London, UK
| | - Alexia Egloff
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, UK
| | - Vanessa Kyriakopolous
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, UK
| | - Jacqueline Matthew
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, UK
- Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, UK
| | - Anthony Price
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, UK
- Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, UK
| | - Kuberan Pushparajah
- Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, UK
- Department of Cardiovascular Imaging, School of Biomedical Engineering and Imaging Science, King’s College London, London, UK
- Paediatric and Fetal Cardiology Department, Evelina London Children’s Hospital, London, UK
| | - John Simpson
- Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, UK
- Department of Cardiovascular Imaging, School of Biomedical Engineering and Imaging Science, King’s College London, London, UK
- Paediatric and Fetal Cardiology Department, Evelina London Children’s Hospital, London, UK
| | - Reza Razavi
- Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, UK
| | - Maria DePrez
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, UK
- Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, UK
| | - David Edwards
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, UK
| | - Jo Hajnal
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, UK
- Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, UK
| | - Mary Rutherford
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, UK
- MRC Centre for Neurodevelopmental Disorders, King’s College London, London, UK
| | - David F.A. Lloyd
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, UK
- Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, UK
- Department of Cardiovascular Imaging, School of Biomedical Engineering and Imaging Science, King’s College London, London, UK
- Paediatric and Fetal Cardiology Department, Evelina London Children’s Hospital, London, UK
| | - Serena J. Counsell
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, UK
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11
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Vignard V, Baruteau AE, Toutain B, Mercier S, Isidor B, Redon R, Schott JJ, Küry S, Bézieau S, Monsoro-Burq AH, Ebstein F. Exploring the origins of neurodevelopmental proteasomopathies associated with cardiac malformations: are neural crest cells central to certain pathological mechanisms? Front Cell Dev Biol 2024; 12:1370905. [PMID: 39071803 PMCID: PMC11272537 DOI: 10.3389/fcell.2024.1370905] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Accepted: 06/05/2024] [Indexed: 07/30/2024] Open
Abstract
Neurodevelopmental proteasomopathies constitute a recently defined class of rare Mendelian disorders, arising from genomic alterations in proteasome-related genes. These alterations result in the dysfunction of proteasomes, which are multi-subunit protein complexes essential for maintaining cellular protein homeostasis. The clinical phenotype of these diseases manifests as a syndromic association involving impaired neural development and multisystem abnormalities, notably craniofacial anomalies and malformations of the cardiac outflow tract (OFT). These observations suggest that proteasome loss-of-function variants primarily affect specific embryonic cell types which serve as origins for both craniofacial structures and the conotruncal portion of the heart. In this hypothesis article, we propose that neural crest cells (NCCs), a highly multipotent cell population, which generates craniofacial skeleton, mesenchyme as well as the OFT of the heart, in addition to many other derivatives, would exhibit a distinctive vulnerability to protein homeostasis perturbations. Herein, we introduce the diverse cellular compensatory pathways activated in response to protein homeostasis disruption and explore their potential implications for NCC physiology. Altogether, the paper advocates for investigating proteasome biology within NCCs and their early cranial and cardiac derivatives, offering a rationale for future exploration and laying the initial groundwork for therapeutic considerations.
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Affiliation(s)
- Virginie Vignard
- Nantes Université, CHU Nantes, CNRS, INSERM, l’institut du thorax, Nantes, France
| | - Alban-Elouen Baruteau
- Nantes Université, CHU Nantes, CNRS, INSERM, l’institut du thorax, Nantes, France
- CHU Nantes, Department of Pediatric Cardiology and Pediatric Cardiac Surgery, FHU PRECICARE, Nantes Université, Nantes, France
- Nantes Université, CHU Nantes, INSERM, CIC FEA 1413, Nantes, France
| | - Bérénice Toutain
- Nantes Université, CNRS, INSERM, l’institut du thorax, Nantes, France
| | - Sandra Mercier
- Nantes Université, CHU Nantes, CNRS, INSERM, l’institut du thorax, Nantes, France
- CHU Nantes, Service de Génétique Médicale, Nantes Université, Nantes, France
| | - Bertrand Isidor
- Nantes Université, CHU Nantes, CNRS, INSERM, l’institut du thorax, Nantes, France
- CHU Nantes, Service de Génétique Médicale, Nantes Université, Nantes, France
| | - Richard Redon
- Nantes Université, CNRS, INSERM, l’institut du thorax, Nantes, France
| | | | - Sébastien Küry
- Nantes Université, CHU Nantes, CNRS, INSERM, l’institut du thorax, Nantes, France
- CHU Nantes, Service de Génétique Médicale, Nantes Université, Nantes, France
| | - Stéphane Bézieau
- Nantes Université, CHU Nantes, CNRS, INSERM, l’institut du thorax, Nantes, France
- CHU Nantes, Service de Génétique Médicale, Nantes Université, Nantes, France
| | - Anne H. Monsoro-Burq
- Faculté des Sciences d'Orsay, CNRS, UMR 3347, INSERM, Université Paris-Saclay, Orsay, France
- Institut Curie, PSL Research University, CNRS, UMR 3347, INSERM, Orsay, France
- Institut Universitaire de France, Paris, France
| | - Frédéric Ebstein
- Nantes Université, CNRS, INSERM, l’institut du thorax, Nantes, France
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12
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Stanley KJ, Kalbfleisch KJ, Moran OM, Chaturvedi RR, Roifman M, Chen X, Manshaei R, Martin N, McDermott S, McNiven V, Myles-Reid D, Nield LE, Reuter MS, Schwartz MLB, Shannon P, Silver R, Somerville C, Teitelbaum R, Zahavich L, Bassett AS, Kim RH, Mital S, Chitayat D, Jobling RK. Expanding the phenotypic spectrum of NOTCH1 variants: clinical manifestations in families with congenital heart disease. Eur J Hum Genet 2024; 32:795-803. [PMID: 38778082 PMCID: PMC11219983 DOI: 10.1038/s41431-024-01629-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2024] [Revised: 04/28/2024] [Accepted: 05/01/2024] [Indexed: 05/25/2024] Open
Abstract
Pathogenic variants in NOTCH1 are associated with non-syndromic congenital heart disease (CHD) and Adams-Oliver syndrome (AOS). The clinical presentation of individuals with damaging NOTCH1 variants is characterized by variable expressivity and incomplete penetrance; however, data on systematic phenotypic characterization are limited. We report the genotype and phenotype of a cohort of 33 individuals (20 females, 13 males; median age 23.4 years, range 2.5-68.3 years) from 11 families with causative NOTCH1 variants (9 inherited, 2 de novo; 9 novel), ascertained from a proband with CHD. We describe the cardiac and extracardiac anomalies identified in these 33 individuals, only four of whom met criteria for AOS. The most common CHD identified was tetralogy of Fallot, though various left- and right-sided lesions and septal defects were also present. Extracardiac anomalies identified include cutis aplasia (5/33), cutaneous vascular anomalies (7/33), vascular anomalies of the central nervous system (2/10), Poland anomaly (1/33), pulmonary hypertension (2/33), and structural brain anomalies (3/14). Identification of these findings in a cardiac proband cohort supports NOTCH1-associated CHD and NOTCH1-associated AOS lying on a phenotypic continuum. Our findings also support (1) Broad indications for NOTCH1 molecular testing (any familial CHD, simplex tetralogy of Fallot or hypoplastic left heart); (2) Cascade testing in all at-risk relatives; and (3) A thorough physical exam, in addition to cardiac, brain (structural and vascular), abdominal, and ophthalmologic imaging, in all gene-positive individuals. This information is important for guiding the medical management of these individuals, particularly given the high prevalence of NOTCH1 variants in the CHD population.
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Affiliation(s)
- Kaitlin J Stanley
- Ted Rogers Centre for Heart Research Cardiac Genome Clinic, The Hospital for Sick Children, Toronto, ON, Canada
| | - Kelsey J Kalbfleisch
- Ted Rogers Centre for Heart Research Cardiac Genome Clinic, The Hospital for Sick Children, Toronto, ON, Canada
- Division of Clinical and Metabolic Genetics, Department of Pediatrics, The Hospital for Sick Children, Toronto, ON, Canada
| | - Olivia M Moran
- Ted Rogers Centre for Heart Research Cardiac Genome Clinic, The Hospital for Sick Children, Toronto, ON, Canada
- Division of Clinical and Metabolic Genetics, Department of Pediatrics, The Hospital for Sick Children, Toronto, ON, Canada
| | - Rajiv R Chaturvedi
- Ted Rogers Centre for Heart Research Cardiac Genome Clinic, The Hospital for Sick Children, Toronto, ON, Canada
- Division of Cardiology, Department of Pediatrics, The Hospital for Sick Children, Toronto, ON, Canada
| | - Maian Roifman
- Division of Clinical and Metabolic Genetics, Department of Pediatrics, The Hospital for Sick Children, Toronto, ON, Canada
- The Prenatal Diagnosis and Medical Genetics Program, Department of Obstetrics and Gynecology, Mount Sinai Hospital, Toronto, ON, Canada
| | - Xin Chen
- Ted Rogers Centre for Heart Research Cardiac Genome Clinic, The Hospital for Sick Children, Toronto, ON, Canada
| | - Roozbeh Manshaei
- Ted Rogers Centre for Heart Research Cardiac Genome Clinic, The Hospital for Sick Children, Toronto, ON, Canada
| | - Nicole Martin
- The Prenatal Diagnosis and Medical Genetics Program, Department of Obstetrics and Gynecology, Mount Sinai Hospital, Toronto, ON, Canada
| | - Simina McDermott
- The Prenatal Diagnosis and Medical Genetics Program, Department of Obstetrics and Gynecology, Mount Sinai Hospital, Toronto, ON, Canada
| | - Vanda McNiven
- Division of Genetics, Department of Pediatrics, McMaster Children's Hospital, Hamilton, ON, Canada
| | - Diane Myles-Reid
- The Prenatal Diagnosis and Medical Genetics Program, Department of Obstetrics and Gynecology, Mount Sinai Hospital, Toronto, ON, Canada
| | - Lynne E Nield
- Division of Cardiology, Department of Pediatrics, The Hospital for Sick Children, Toronto, ON, Canada
| | - Miriam S Reuter
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, ON, Canada
- Genetics and Genome Biology Program, The Hospital for Sick Children, Toronto, ON, Canada
| | - Marci L B Schwartz
- Ted Rogers Centre for Heart Research Cardiac Genome Clinic, The Hospital for Sick Children, Toronto, ON, Canada
- Division of Clinical and Metabolic Genetics, Department of Pediatrics, The Hospital for Sick Children, Toronto, ON, Canada
| | - Patrick Shannon
- Department of Pathology and Laboratory Medicine, Mount Sinai Hospital, Toronto, ON, Canada
| | - Rachel Silver
- The Prenatal Diagnosis and Medical Genetics Program, Department of Obstetrics and Gynecology, Mount Sinai Hospital, Toronto, ON, Canada
| | - Cherith Somerville
- Ted Rogers Centre for Heart Research Cardiac Genome Clinic, The Hospital for Sick Children, Toronto, ON, Canada
| | - Ronni Teitelbaum
- The Prenatal Diagnosis and Medical Genetics Program, Department of Obstetrics and Gynecology, Mount Sinai Hospital, Toronto, ON, Canada
| | - Laura Zahavich
- Division of Clinical and Metabolic Genetics, Department of Pediatrics, The Hospital for Sick Children, Toronto, ON, Canada
- Division of Cardiology, Department of Pediatrics, The Hospital for Sick Children, Toronto, ON, Canada
| | - Anne S Bassett
- Genetics and Genome Biology Program, The Hospital for Sick Children, Toronto, ON, Canada
- The Dalglish Family 22q Clinic, University Health Network, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
- Clinical Genetics Research Program and Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Raymond H Kim
- Ted Rogers Centre for Heart Research Cardiac Genome Clinic, The Hospital for Sick Children, Toronto, ON, Canada
- Division of Clinical and Metabolic Genetics, Department of Pediatrics, The Hospital for Sick Children, Toronto, ON, Canada
- Fred A. Litwin Family Centre in Genetic Medicine, Department of Medicine, University Health Network, Toronto, ON, Canada
| | - Seema Mital
- Division of Cardiology, Department of Pediatrics, The Hospital for Sick Children, Toronto, ON, Canada
- Ted Rogers Centre for Heart Research, Toronto, ON, Canada
| | - David Chitayat
- Division of Clinical and Metabolic Genetics, Department of Pediatrics, The Hospital for Sick Children, Toronto, ON, Canada
- The Prenatal Diagnosis and Medical Genetics Program, Department of Obstetrics and Gynecology, Mount Sinai Hospital, Toronto, ON, Canada
| | - Rebekah K Jobling
- Ted Rogers Centre for Heart Research Cardiac Genome Clinic, The Hospital for Sick Children, Toronto, ON, Canada.
- Division of Clinical and Metabolic Genetics, Department of Pediatrics, The Hospital for Sick Children, Toronto, ON, Canada.
- Genome Diagnostics, Department of Pediatric Laboratory Medicine, The Hospital for Sick Children, Toronto, ON, Canada.
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13
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Maleyeff L, Park HJ, Khazal ZSH, Wypij D, Rollins CK, Yun HJ, Bellinger DC, Watson CG, Roberts AE, Newburger JW, Grant PE, Im K, Morton SU. Meta-regression of sulcal patterns, clinical and environmental factors on neurodevelopmental outcomes in participants with multiple CHD types. Cereb Cortex 2024; 34:bhae224. [PMID: 38836834 DOI: 10.1093/cercor/bhae224] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2024] [Revised: 05/07/2024] [Accepted: 05/13/2024] [Indexed: 06/06/2024] Open
Abstract
Congenital heart disease affects 1% of infants and is associated with impaired neurodevelopment. Right- or left-sided sulcal features correlate with executive function among people with Tetralogy of Fallot or single ventricle congenital heart disease. Studies of multiple congenital heart disease types are needed to understand regional differences. Further, sulcal pattern has not been studied in people with d-transposition of the great arteries. Therefore, we assessed the relationship between sulcal pattern and executive function, general memory, and processing speed in a meta-regression of 247 participants with three congenital heart disease types (114 single ventricle, 92 d-transposition of the great arteries, and 41 Tetralogy of Fallot) and 94 participants without congenital heart disease. Higher right hemisphere sulcal pattern similarity was associated with improved executive function (Pearson r = 0.19, false discovery rate-adjusted P = 0.005), general memory (r = 0.15, false discovery rate P = 0.02), and processing speed (r = 0.17, false discovery rate P = 0.01) scores. These positive associations remained significant in for the d-transposition of the great arteries and Tetralogy of Fallot cohorts only in multivariable linear regression (estimated change β = 0.7, false discovery rate P = 0.004; β = 4.1, false discovery rate P = 0.03; and β = 5.4, false discovery rate P = 0.003, respectively). Duration of deep hypothermic circulatory arrest was also associated with outcomes in the multivariate model and regression tree analysis. This suggests that sulcal pattern may provide an early biomarker for prediction of later neurocognitive challenges among people with congenital heart disease.
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Affiliation(s)
- Lara Maleyeff
- Department of Biostatistics, Epidemiology, and Occupational Health, McGill University, Montreal, QC, Canada
| | - Hannah J Park
- Division of Newborn Medicine, Boston Children's Hospital, Boston 02115, MA, United States
| | - Zahra S H Khazal
- Division of Newborn Medicine, Boston Children's Hospital, Boston 02115, MA, United States
| | - David Wypij
- Department of Pediatrics, Harvard Medical School, Boston MA, United States
- Department of Cardiology, Boston Children's Hospital, Boston 02115, MA, United States
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston MA, United States
| | - Caitlin K Rollins
- Department of Neurology, Boston Children's Hospital 02115 Boston, MA, United States
- Department of Neurology, Harvard Medical School, Boston MA, United States
| | - Hyuk Jin Yun
- Division of Newborn Medicine, Boston Children's Hospital, Boston 02115, MA, United States
- Fetal Neonatal Neuroimaging and Developmental Science Center, Division of Newborn Medicine, Department of Pediatrics, Boston Children's Hospital, Boston 02115, MA, United States
| | - David C Bellinger
- Department of Neurology, Boston Children's Hospital 02115 Boston, MA, United States
- Department of Psychiatry, Boston Children's Hospital, Boston 02115, MA, United States
- Department of Psychiatry, Harvard Medical School, Boston MA, United States
| | - Christopher G Watson
- Department of Neurology, Boston Children's Hospital 02115 Boston, MA, United States
| | - Amy E Roberts
- Department of Pediatrics, Harvard Medical School, Boston MA, United States
- Department of Cardiology, Boston Children's Hospital, Boston 02115, MA, United States
| | - Jane W Newburger
- Department of Pediatrics, Harvard Medical School, Boston MA, United States
- Department of Cardiology, Boston Children's Hospital, Boston 02115, MA, United States
| | - P Ellen Grant
- Department of Biostatistics, Epidemiology, and Occupational Health, McGill University, Montreal, QC, Canada
- Fetal Neonatal Neuroimaging and Developmental Science Center, Division of Newborn Medicine, Department of Pediatrics, Boston Children's Hospital, Boston 02115, MA, United States
- Department of Radiology, Boston Children's Hospital, Boston 02115, MA, United States
| | - Kiho Im
- Division of Newborn Medicine, Boston Children's Hospital, Boston 02115, MA, United States
- Department of Pediatrics, Harvard Medical School, Boston MA, United States
- Fetal Neonatal Neuroimaging and Developmental Science Center, Division of Newborn Medicine, Department of Pediatrics, Boston Children's Hospital, Boston 02115, MA, United States
| | - Sarah U Morton
- Division of Newborn Medicine, Boston Children's Hospital, Boston 02115, MA, United States
- Department of Pediatrics, Harvard Medical School, Boston MA, United States
- Fetal Neonatal Neuroimaging and Developmental Science Center, Division of Newborn Medicine, Department of Pediatrics, Boston Children's Hospital, Boston 02115, MA, United States
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14
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Cromb D, Slator PJ, Hall M, Price A, Alexander DC, Counsell SJ, Hutter J. Advanced magnetic resonance imaging detects altered placental development in pregnancies affected by congenital heart disease. Sci Rep 2024; 14:12357. [PMID: 38811636 PMCID: PMC11136986 DOI: 10.1038/s41598-024-63087-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Accepted: 05/24/2024] [Indexed: 05/31/2024] Open
Abstract
Congenital heart disease (CHD) is the most common congenital malformation and is associated with adverse neurodevelopmental outcomes. The placenta is crucial for healthy fetal development and placental development is altered in pregnancy when the fetus has CHD. This study utilized advanced combined diffusion-relaxation MRI and a data-driven analysis technique to test the hypothesis that placental microstructure and perfusion are altered in CHD-affected pregnancies. 48 participants (36 controls, 12 CHD) underwent 67 MRI scans (50 control, 17 CHD). Significant differences in the weighting of two independent placental and uterine-wall tissue components were identified between the CHD and control groups (both pFDR < 0.001), with changes most evident after 30 weeks gestation. A significant trend over gestation in weighting for a third independent tissue component was also observed in the CHD cohort (R = 0.50, pFDR = 0.04), but not in controls. These findings add to existing evidence that placental development is altered in CHD. The results may reflect alterations in placental perfusion or the changes in fetal-placental flow, villous structure and maturation that occur in CHD. Further research is needed to validate and better understand these findings and to understand the relationship between placental development, CHD, and its neurodevelopmental implications.
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Affiliation(s)
- Daniel Cromb
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, SE1 7EH, UK
- Centre for Medical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - Paddy J Slator
- Centre for Medical Image Computing, Department of Computer Science, University College London, London, UK
- School of Computer Science and Informatics, Cardiff University, Cardiff, UK
- Cardiff University Brain Research Imaging Centre, School of Psychology, Cardiff University, Cardiff, UK
| | - Megan Hall
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, SE1 7EH, UK
| | - Anthony Price
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, SE1 7EH, UK
- Centre for Medical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - Daniel C Alexander
- Centre for Medical Image Computing, Department of Computer Science, University College London, London, UK
| | - Serena J Counsell
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, SE1 7EH, UK.
- Centre for Medical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
| | - Jana Hutter
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, SE1 7EH, UK
- Centre for Medical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
- Smart Imaging Lab, Radiological Institute, University Hospital Erlangen, Erlangen, Germany
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15
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Wang Z, Liu XY, Yang CX, Zhou HM, Li YJ, Qiu XB, Huang RT, Cen SS, Wang Y, Xu YJ, Qiu HY, Yang YQ. Discovery and functional investigation of BMP4 as a new causative gene for human congenital heart disease. Am J Transl Res 2024; 16:2034-2048. [PMID: 38883374 PMCID: PMC11170606 DOI: 10.62347/dgcd4269] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2024] [Accepted: 05/06/2024] [Indexed: 06/18/2024]
Abstract
OBJECTIVE Aggregating evidence highlights the strong genetic basis underpinning congenital heart disease (CHD). Here BMP4 was chosen as a prime candidate gene causative of human CHD predominantly because BMP4 was amply expressed in the embryonic hearts and knockout of Bmp4 in mice led to embryonic demise mainly from multiple cardiovascular developmental malformations. The aim of this retrospective investigation was to discover a novel BMP4 mutation underlying human CHD and explore its functional impact. METHODS A sequencing examination of BMP4 was implemented in 212 index patients suffering from CHD and 236 unrelated non-CHD individuals as well as the family members available from the proband carrying a discovered BMP4 mutation. The impacts of the discovered CHD-causing mutation on the expression of NKX2-5 and TBX20 induced by BMP4 were measured by employing a dual-luciferase analysis system. RESULTS A new heterozygous BMP4 mutation, NM_001202.6:c.318T>G;p.(Tyr106*), was found in a female proband affected with familial CHD. Genetic research of the mutation carrier's relatives unveiled that the truncating mutation was in co-segregation with CHD in the pedigree. The nonsense mutation was absent from 236 unrelated non-CHD control persons. Quantitative biologic measurement revealed that Tyr106*-mutant BMP4 failed to induce the expression of NKX2-5 and TBX20, two genes whose expression is lost in CHD. CONCLUSION The current findings indicate BMP4 as a new gene predisposing to human CHD, allowing for improved prenatal genetic counseling along with personalized treatment of CHD patients.
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Affiliation(s)
- Zhi Wang
- Department of Cardiovascular Medicine, Women and Children's Hospital of Ningbo University Ningbo 315012, Zhejiang, China
| | - Xing-Yuan Liu
- Department of Pediatrics, Tongji Hospital, Tongji University School of Medicine Shanghai 200065, China
| | - Chen-Xi Yang
- Department of Cardiology, Shanghai Fifth People's Hospital, Fudan University Shanghai 200240, China
| | - Hui-Min Zhou
- Department of Pediatrics, Tongji Hospital, Tongji University School of Medicine Shanghai 200065, China
| | - Yan-Jie Li
- Department of Cardiology, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine Shanghai 200030, China
| | - Xing-Biao Qiu
- Department of Cardiology, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine Shanghai 200030, China
| | - Ri-Tai Huang
- Department of Cardiovascular Surgery, Renji Hospital, Shanghai Jiao Tong University School of Medicine Shanghai 200127, China
| | - Shu-Shu Cen
- Health Science Center, Ningbo University Ningbo 315211, Zhejiang, China
| | - Yuan Wang
- Health Science Center, Ningbo University Ningbo 315211, Zhejiang, China
| | - Ying-Jia Xu
- Department of Cardiology, Shanghai Fifth People's Hospital, Fudan University Shanghai 200240, China
| | - Hai-Yan Qiu
- Department of Cardiovascular Medicine, Women and Children's Hospital of Ningbo University Ningbo 315012, Zhejiang, China
| | - Yi-Qing Yang
- Department of Cardiology, Shanghai Fifth People's Hospital, Fudan University Shanghai 200240, China
- Department of Cardiovascular Research Laboratory, Shanghai Fifth People's Hospital, Fudan University Shanghai 200240, China
- Department of Central Laboratory, Shanghai Fifth People's Hospital, Fudan University Shanghai 200240, China
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16
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Mercer-Rosa L, Favilla E. Neurodevelopment in patients with repaired tetralogy of Fallot. Front Pediatr 2024; 12:1137131. [PMID: 38737635 PMCID: PMC11082288 DOI: 10.3389/fped.2024.1137131] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Accepted: 03/14/2024] [Indexed: 05/14/2024] Open
Abstract
Neurodevelopmental sequelae are prevalent and debilitating for patients with congenital heart defects. Patients born with tetralogy of Fallot (TOF) are susceptible for abnormal neurodevelopment as they have several risk factors surrounding the perinatal and perioperative period. Some risk factors have been well described in other forms of congenital heart defects, including transposition of the great arteries and single ventricle heart disease, but they have been less studied in the growing population of survivors of TOF surgery, particularly in infancy and childhood. Adolescents with TOF, even without a genetic syndrome, exhibit neuro-cognitive deficits in executive function, visual-spatial skills, memory, attention, academic achievement, social cognition, and problem-solving, to mention a few. They also have greater prevalence of anxiety disorder, disruptive behavior and attention-deficit hyperactivity disorder. These deficits impact their academic performance, social adjustment, and quality of life, thus resulting in significant stress for patients and their families. Further, they can impact their social adjustment, employment and career development as an adult. Infants and younger children can also have significant deficits in gross and fine motor skills, cognitive deficits and abnormal receptive language. Many of the risk factors associated with abnormal neurodevelopment in these patients are not readily modifiable. Therefore, patients should be referred for evaluation and early intervention to help maximize their neurodevelopment and improve overall outcomes. More study is needed to identify potentially modifiable risk factors and/or mediators of neurodevelopment, such as environmental and socio-economic factors.
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Affiliation(s)
- Laura Mercer-Rosa
- Division of Cardiology, Department of Pediatrics, University of Pennsylvania Perelman School of Medicine, Children’s Hospital of Philadelphia, Philadelphia, PA, United States
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17
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McAlinden B, Pool N, Harnischfeger J, Waak M, Campbell M. 'Baby Liberation' - Developing and implementing an individualised, developmentally-supportive care bundle to critically unwell infants in an Australian Paediatric Intensive Care Unit. Early Hum Dev 2024; 190:105944. [PMID: 38290275 DOI: 10.1016/j.earlhumdev.2024.105944] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Revised: 12/21/2023] [Accepted: 01/17/2024] [Indexed: 02/01/2024]
Abstract
BACKGROUND Infants requiring high acuity care within a Paediatric Intensive Care Unit are at multifactorial risk of neurological injury to the immature brain, resulting in long-term developmental difficulties. In 2020, Queensland Children's Hospital implemented an individualised family-centred developmental care program, 'Baby Liberation', to address an identified service gap for critically unwell infants, aimed at optimising early neuroprotective strategies and minimising risk of suboptimal developmental outcomes. AIM To implement Baby Liberation for infants admitted to a quaternary paediatric intensive care referral centre. Secondary aims were to describe environmental changes, enablers and limitations related to implementation. STUDY DESIGN A single-centre, prospective implementation pilot study investigated the feasibility of implementing Baby Liberation. Subjects included infants less than six months of age admitted to Queensland Children's Hospital Paediatric Intensive Care Unit. OUTCOME MEASURES Primary measures comprised data collected during the implementation period, including number of eligible patients and number of developmental care plans provided. Environmental audit data were collected pre and post implementation to inform secondary outcomes. RESULTS Baby Liberation was feasibly implemented into the Queensland Children's Hospital Paediatric Intensive Care Unit. During implementation, 181 individualised care plans were provided to 313 eligible infants (57.8 %). Environmental audits showed improvements in all areas of developmental care, with greatest improvements noted in pain and stress management (+95 %) and staff support and development (+83.3 %). CONCLUSION Implementation of Baby Liberation was feasible within a large quaternary paediatric intensive care unit and has potential to be expanded into other clinical areas providing acute infant care.
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Affiliation(s)
- Bronagh McAlinden
- Physiotherapy Department, Queensland Children's Hospital, Children's Health Queensland Hospital and Health Service, Brisbane, Australia; Paediatric Intensive Care Unit, Queensland Children's Hospital, Children's Health Queensland Hospital and Health Service, Brisbane, Australia.
| | - Natasha Pool
- Paediatric Intensive Care Unit, Queensland Children's Hospital, Children's Health Queensland Hospital and Health Service, Brisbane, Australia
| | - Jane Harnischfeger
- Paediatric Intensive Care Unit, Queensland Children's Hospital, Children's Health Queensland Hospital and Health Service, Brisbane, Australia
| | - Michaela Waak
- Paediatric Intensive Care Unit, Queensland Children's Hospital, Children's Health Queensland Hospital and Health Service, Brisbane, Australia
| | - Miranda Campbell
- Paediatric Intensive Care Unit, Queensland Children's Hospital, Children's Health Queensland Hospital and Health Service, Brisbane, Australia; Occupational Therapy and Music Therapy Department, Queensland Children's Hospital, Children's Health Queensland Hospital and Health Service, Brisbane, Australia
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18
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Abhinav P, Li YJ, Huang RT, Liu XY, Gu JN, Yang CX, Xu YJ, Wang J, Yang YQ. Somatic GATA4 mutation contributes to tetralogy of Fallot. Exp Ther Med 2024; 27:91. [PMID: 38274337 PMCID: PMC10809308 DOI: 10.3892/etm.2024.12379] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Accepted: 12/07/2023] [Indexed: 01/27/2024] Open
Abstract
Tetralogy of Fallot (TOF) is the most prevalent cyanotic congenital heart pathology and causes infant morbidity and mortality worldwide. GATA-binding protein 4 (GATA4) serves as a pivotal transcriptional factor for embryonic cardiogenesis and germline GATA4 mutations are causally linked to TOF. However, the effects of somatic GATA4 mutations on the pathogenesis of TOF remain to be ascertained. In the present study, sequencing assay of GATA4 was performed utilizing genomic DNA derived from resected heart tissue specimens as well as matched peripheral blood specimens of 62 patients with non-familial TOF who underwent surgical treatment for TOF. Sequencing of GATA4 was also performed using the heart tissue specimens as well as matched peripheral venous blood samples of 68 sporadic cases who underwent heart valve displacement because of rheumatic heart disorder and the peripheral venous whole blood samples of 216 healthy subjects. The function of the mutant was explored by dual-luciferase activity analysis. Consequently, a new GATA4 mutation, NM_002052.5:c.708T>G;p.(Tyr236*), was found in the heart tissue of one patient with TOF. No mutation was detected in the heart tissue of the 68 cases suffering from rheumatic heart disorder or in the venous blood samples of all 346 individuals. GATA4 mutant failed to transactivate its target gene, myosin heavy chain 6. Additionally, this mutation nullified the synergistic transactivation between GATA4 and T-box transcription factor 5 or NK2 homeobox 5, two genes causative for TOF. Somatic GATA4 mutation predisposes TOF, highlighting the significant contribution of somatic variations to the molecular pathogenesis underpinning TOF.
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Affiliation(s)
- Pradhan Abhinav
- Department of Cardiology, East Hospital, Tongji University School of Medicine, Shanghai 200120, P.R. China
| | - Yan-Jie Li
- Department of Cardiology, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, P.R. China
| | - Ri-Tai Huang
- Department of Cardiovascular Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, P.R. China
| | - Xing-Yuan Liu
- Department of Pediatrics, Tongji Hospital, Tongji University School of Medicine, Shanghai 200065, P.R. China
| | - Jia-Ning Gu
- Department of Cardiology, Shanghai Fifth People's Hospital, Fudan University, Shanghai 200240, P.R. China
| | - Chen-Xi Yang
- Department of Cardiology, Shanghai Fifth People's Hospital, Fudan University, Shanghai 200240, P.R. China
| | - Ying-Jia Xu
- Department of Cardiology, Shanghai Fifth People's Hospital, Fudan University, Shanghai 200240, P.R. China
| | - Juan Wang
- Department of Cardiology, East Hospital, Tongji University School of Medicine, Shanghai 200120, P.R. China
| | - Yi-Qing Yang
- Department of Cardiology, Shanghai Fifth People's Hospital, Fudan University, Shanghai 200240, P.R. China
- Cardiovascular Research Laboratory, Shanghai Fifth People's Hospital, Fudan University, Shanghai 200240, P.R. China
- Central Laboratory, Shanghai Fifth People's Hospital, Fudan University, Shanghai 200240, P.R. China
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19
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Cromb D, Slator P, Hall M, Price A, Alexander D, Counsell S, Hutter J. Advanced magnetic resonance imaging detects altered placental development in pregnancies affected by congenital heart disease. RESEARCH SQUARE 2024:rs.3.rs-3873412. [PMID: 38343847 PMCID: PMC10854304 DOI: 10.21203/rs.3.rs-3873412/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/17/2024]
Abstract
Congenital heart disease (CHD) is the most common congenital malformation and is associated with adverse neurodevelopmental outcomes. The placenta is crucial for healthy fetal development and placental development is altered in pregnancy when the fetus has CHD. This study utilized advanced combined diffusion-relaxation MRI and a data-driven analysis technique to test the hypothesis that placental microstructure and perfusion are altered in CHD-affected pregnancies. 48 participants (36 controls, 12 CHD) underwent 67 MRI scans (50 control, 17 CHD). Significant differences in the weighting of two independent placental and uterine-wall tissue components were identified between the CHD and control groups (both pFDR<0.001), with changes most evident after 30 weeks gestation. A Significant trend over gestation in weighting for a third independent tissue component was also observed in the CHD cohort (R = 0.50, pFDR=0.04), but not in controls. These findings add to existing evidence that placental development is altered in CHD. The results may reflect alterations in placental perfusion or the changes in fetal-placental flow, villous structure and maturation that occur in CHD. Further research is needed to validate and better understand these findings and to understand the relationship between placental development, CHD, and its neurodevelopmental implications.
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20
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Mao S, Huang X, Chen R, Zhang C, Diao Y, Li Z, Wang Q, Tang S, Guo S. STW-MD: a novel spatio-temporal weighting and multi-step decision tree method for considering spatial heterogeneity in brain gene expression data. Brief Bioinform 2024; 25:bbae051. [PMID: 38385881 PMCID: PMC10883420 DOI: 10.1093/bib/bbae051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2023] [Revised: 01/23/2024] [Accepted: 01/26/2024] [Indexed: 02/23/2024] Open
Abstract
Gene expression during brain development or abnormal development is a biological process that is highly dynamic in spatio and temporal. Previous studies have mainly focused on individual brain regions or a certain developmental stage. Our motivation is to address this gap by incorporating spatio-temporal information to gain a more complete understanding of brain development or abnormal brain development, such as Alzheimer's disease (AD), and to identify potential determinants of response. In this study, we propose a novel two-step framework based on spatial-temporal information weighting and multi-step decision trees. This framework can effectively exploit the spatial similarity and temporal dependence between different stages and different brain regions, and facilitate differential gene analysis in brain regions with high heterogeneity. We focus on two datasets: the AD dataset, which includes gene expression data from early, middle and late stages, and the brain development dataset, spanning fetal development to adulthood. Our findings highlight the advantages of the proposed framework in discovering gene classes and elucidating their impact on brain development and AD progression across diverse brain regions and stages. These findings align with existing studies and provide insights into the processes of normal and abnormal brain development.
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Affiliation(s)
- Shanjun Mao
- Department of Statistics, Hunan University, Shijiachong Road, Changsha 410000, China
| | - Xiao Huang
- Department of Statistics, Hunan University, Shijiachong Road, Changsha 410000, China
| | - Runjiu Chen
- Department of Statistics, Hunan University, Shijiachong Road, Changsha 410000, China
| | - Chenyang Zhang
- Department of Statistics, Hunan University, Shijiachong Road, Changsha 410000, China
| | - Yizhu Diao
- Department of Statistics, Hunan University, Shijiachong Road, Changsha 410000, China
| | - Zongjin Li
- Central University of Finance and Economics
| | - Qingzhe Wang
- Shanghai Institute for Advanced Studies, University of Science and Technology of China
| | - Shan Tang
- Department of Statistics, Hunan University, Shijiachong Road, Changsha 410000, China
| | - Shuixia Guo
- MOE-LCSM, School of Mathematics and Statistics, Hunan Normal University, Lushan Road, Changsha 410000, China
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21
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Dong BB, Li YJ, Liu XY, Huang RT, Yang CX, Xu YJ, Lv HT, Yang YQ. Discovery of BMP10 as a new gene underpinning congenital heart defects. Am J Transl Res 2024; 16:109-125. [PMID: 38322548 PMCID: PMC10839403] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Accepted: 12/27/2023] [Indexed: 02/08/2024]
Abstract
OBJECTIVE Aggregating evidence convincingly establishes the predominant genetic basis underlying congenital heart defects (CHD), though the heritable determinants contributing to CHD in the majority of cases remain elusive. In the current investigation, BMP10 was selected as a prime candidate gene for human CHD mainly due to cardiovascular developmental abnormalities in Bmp10-knockout animals. The objective of this retrospective study was to identify a new BMP10 mutation responsible for CHD and characterize the functional effect of the identified CHD-causing BMP10 mutation. METHODS Sequencing assay of BMP10 was fulfilled in a cohort of 276 probands with various CHD and a total of 288 non-CHD volunteers. The available family members from the proband harboring an identified BMP10 mutation were also BMP10-genotyped. The effect of the identified CHD-causative BMP10 mutation on the transactivation of TBX20 and NKX2.5 by BMP10 was quantitatively analyzed in maintained HeLa cells utilizing a dual-luciferase reporter assay system. RESULTS A novel heterozygous BMP10 mutation, NM_014482.3:c.247G>T;p.(Glu83*), was identified in one proband with patent ductus arteriosus (PDA), which was confirmed to co-segregate with the PDA phenotype in the mutation carrier's family. The nonsense mutation was not observed in 288 non-CHD volunteers. Functional analysis unveiled that Glu83*-mutant BMP10 had no transactivation on its two representative target genes TBX20 and NKX2.5, which were both reported to cause CHD. CONCLUSION These findings provide strong evidence indicating that genetically compromised BMP10 predisposes human beings to CHD, which sheds light on the new molecular mechanism that underlies CHD and allows for antenatal genetic counseling and individualized precise management of CHD.
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Affiliation(s)
- Bin-Bin Dong
- Department of Cardiology, Children’s Hospital of Soochow UniversitySuzhou 215003, Jiangsu, China
| | - Yan-Jie Li
- Department of Cardiology, Shanghai Chest Hospital, School of Medicine, Shanghai Jiao Tong UniversityShanghai 200030, China
| | - Xing-Yuan Liu
- Department of Pediatrics, Tongji Hospital, Tongji University School of MedicineShanghai 200065, China
| | - Ri-Tai Huang
- Department of Cardiovascular Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong UniversityShanghai 200127, China
| | - Chen-Xi Yang
- Department of Cardiology, Shanghai Fifth People’s Hospital, Fudan UniversityShanghai 200240, China
| | - Ying-Jia Xu
- Department of Cardiology, Shanghai Fifth People’s Hospital, Fudan UniversityShanghai 200240, China
| | - Hai-Tao Lv
- Department of Cardiology, Children’s Hospital of Soochow UniversitySuzhou 215003, Jiangsu, China
| | - Yi-Qing Yang
- Department of Cardiology, Shanghai Fifth People’s Hospital, Fudan UniversityShanghai 200240, China
- Department of Cardiovascular Research Laboratory, Shanghai Fifth People’s Hospital, Fudan UniversityShanghai 200240, China
- Department of Central Laboratory, Shanghai Fifth People’s Hospital, Fudan UniversityShanghai 200240, China
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22
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Huisenga DC, la Bastide-van Gemert S, Van Bergen AH, Sweeney JK, Hadders-Algra M. Predictive value of General Movements Assessment for developmental delay at 18 months in children with complex congenital heart disease. Early Hum Dev 2024; 188:105916. [PMID: 38091843 DOI: 10.1016/j.earlhumdev.2023.105916] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Revised: 12/05/2023] [Accepted: 12/07/2023] [Indexed: 01/08/2024]
Abstract
BACKGROUND Infants with complex congenital heart disease are at increased risk of impaired fetal brain growth, brain injury, and developmental impairments. The General Movement Assessment (GMA) is a valid and reliable tool to predict cerebral palsy (CP), especially in preterm infants. Predictive properties of the GMA in infants with complex congenital heart disease (CCHD) are unknown. AIM To evaluate predictive properties of the GMA to predict developmental outcomes, including cerebral palsy (CP), at 18-months corrected age (CA) in children with CCHD undergoing heart surgery in the first month of life. METHODS A prospective cohort of 56 infants with CCHD (35 males, 21 females) was assessed with GMA at writhing age (0-6 weeks CA) and fidgety age (7-17 weeks CA) and the Bayley Scales of Infant Development at 18 months. GMA focused on markedly reduced GM-variation and complexity (definitely abnormal (DA) GM-complexity) and fidgety movements. Predictive values of GMA for specific cognitive, language and motor delay (composite scores <85th percentile) and general developmental delay (delay in all domains) were calculated at 18 months. RESULTS At fidgety age, all infants had fidgety movements and no child was diagnosed with CP. DA GM-complexity at fidgety age predicted general developmental delay at 18 months (71 % sensitivity, 90 % specificity), but predicted specific developmental delay less robustly. DA GM-complexity at writhing age did not predict developmental delay, nor did it improve prediction based on DA GM-complexity at fidgety age. CONCLUSIONS In infants with CCHD and fidgety movements, DA GM-complexity at fidgety age predicted general developmental delay.
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Affiliation(s)
- Darlene C Huisenga
- Advocate Children's Hospital, Department of Pediatric Rehabilitation and Development, Oak Lawn, IL, USA; University of Groningen, University Medical Center Groningen, Department of Paediatrics, Division of Developmental Neurology, Groningen, the Netherlands
| | - Sacha la Bastide-van Gemert
- University of Groningen, University Medical Center Groningen, Department of Epidemiology, Groningen, the Netherlands
| | - Andrew H Van Bergen
- Advocate Children's Hospital, Advocate Children's Heart Institute, Division of Pediatric Cardiac Critical Care, Oak Lawn, IL, USA
| | - Jane K Sweeney
- Rocky Mountain University of Health Professions, Provo, UT, USA
| | - Mijna Hadders-Algra
- University of Groningen, University Medical Center Groningen, Department of Paediatrics, Division of Developmental Neurology, Groningen, the Netherlands.
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23
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Sadhwani A, Sood E, Van Bergen AH, Ilardi D, Sanz JH, Gaynor JW, Seed M, Ortinau CM, Marino BS, Miller TA, Gaies M, Cassidy AR, Donohue JE, Ardisana A, Wypij D, Goldberg CS. Development of the data registry for the Cardiac Neurodevelopmental Outcome Collaborative. Cardiol Young 2024; 34:79-85. [PMID: 37203794 DOI: 10.1017/s1047951123001208] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/20/2023]
Abstract
Children with congenital heart disease (CHD) can face neurodevelopmental, psychological, and behavioural difficulties beginning in infancy and continuing through adulthood. Despite overall improvements in medical care and a growing focus on neurodevelopmental screening and evaluation in recent years, neurodevelopmental disabilities, delays, and deficits remain a concern. The Cardiac Neurodevelopmental Outcome Collaborative was founded in 2016 with the goal of improving neurodevelopmental outcomes for individuals with CHD and pediatric heart disease. This paper describes the establishment of a centralised clinical data registry to standardize data collection across member institutions of the Cardiac Neurodevelopmental Outcome Collaborative. The goal of this registry is to foster collaboration for large, multi-centre research and quality improvement initiatives that will benefit individuals and families with CHD and improve their quality of life. We describe the components of the registry, initial research projects proposed using data from the registry, and lessons learned in the development of the registry.
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Affiliation(s)
- Anjali Sadhwani
- Department of Psychiatry and Behavioral Sciences, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Erica Sood
- Nemours Cardiac Center, Nemours Children's Health, Wilmington, DE, USA
- Department of Pediatrics, Thomas Jefferson University, Philadelphia, PA, USA
| | - Andrew H Van Bergen
- Advocate Children's Heart Institute, Advocate Children's Hospital, Oak Lawn, IL, USA
| | - Dawn Ilardi
- Department of Rehabilitation Medicine, Emory University, and the Department of Neuropsychology, Children's Healthcare of Atlanta, Atlanta, GA, USA
| | - Jacqueline H Sanz
- Division of Neuropsychology, Children's National Hospital, and Departments of Psychiatry and Behavioral Science and Pediatrics, George Washington University School of Medicine, Washington, DC, USA
| | - J William Gaynor
- Division of Cardiothoracic Surgery, Department of Surgery, Children's Hospital of Philadelphia, and the Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Michael Seed
- Division of Cardiology, Hospital for Sick Children, Toronto, Canada
| | - Cynthia M Ortinau
- Department of Pediatrics, Washington University in St. Louis. St. Louis. MO, USA
| | - Bradley S Marino
- Department of Pediatric Cardiology, Cleveland Clinic Children's, Cleveland, OH, USA
| | - Thomas A Miller
- Division of Pediatric Cardiology, Maine Medical Center, Portland, ME, USA
| | - Michael Gaies
- Heart Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Adam R Cassidy
- Department of Psychiatry and Behavioral Sciences, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
- Departments of Psychiatry and Psychology, and Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, MN, USA
| | - Janet E Donohue
- Cardiac Networks United Data Core, University of Michigan, Ann Arbor, MI, USA
| | | | - David Wypij
- Department of Cardiology, Boston Children's Hospital, Department of Pediatrics, Harvard Medical School, and Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Caren S Goldberg
- Department of Pediatrics, C.S. Mott Children's Hospital, University of Michigan, Ann Arbor, MI, USA
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24
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Bassett AS, Reuter MS, Malecki S, Silversides C, Oechslin E. Clinically Relevant Genetic Considerations for Patients With Tetralogy of Fallot. CJC PEDIATRIC AND CONGENITAL HEART DISEASE 2023; 2:426-439. [PMID: 38161665 PMCID: PMC10755827 DOI: 10.1016/j.cjcpc.2023.10.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Accepted: 10/05/2023] [Indexed: 01/03/2024]
Abstract
Genetic changes affect embryogenesis, cardiac and extracardiac phenotype, development, later onset conditions, and both short- and long-term outcomes and comorbidities in the increasing population of individuals with tetralogy of Fallot (TOF). In this review, we focus on current knowledge about clinically relevant genetics for patients with TOF across the lifespan. The latest findings for TOF genetics that are pertinent to day-to-day practice and lifelong management are highlighted: morbidity/mortality, cardiac/extracardiac features, including neurodevelopmental expression, and recent changes to prenatal screening and diagnostics. Genome-wide microarray is the first-line clinical genetic test for TOF across the lifespan, detecting relevant structural changes including the most common for TOF, the 22q11.2 microdeletion. Accumulating evidence illustrates opportunities for advances in understanding and care that may arise from genetic diagnosis at any age. We also glimpse into the near future when the multigenic nature of TOF will be more fully revealed, further enhancing possibilities for preventive care. Precision medicine is nigh.
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Affiliation(s)
- Anne S. Bassett
- The Dalglish Family 22q Clinic, University Health Network, Toronto, Ontario, Canada
- Clinical Genetics Research Program, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
- Toronto Adult Congenital Heart Disease Program, Division of Cardiology, Peter Munk Cardiac Centre, Department of Medicine, University Health Network, Toronto, Ontario, Canada
- Toronto General Hospital Research Institute, and Campbell Family Mental Health Research Institute, Toronto, Ontario, Canada
| | - Miriam S. Reuter
- The Dalglish Family 22q Clinic, University Health Network, Toronto, Ontario, Canada
- Clinical Genetics Research Program, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Sarah Malecki
- The Dalglish Family 22q Clinic, University Health Network, Toronto, Ontario, Canada
- Clinical Genetics Research Program, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Candice Silversides
- The Dalglish Family 22q Clinic, University Health Network, Toronto, Ontario, Canada
- Toronto Adult Congenital Heart Disease Program, Division of Cardiology, Peter Munk Cardiac Centre, Department of Medicine, University Health Network, Toronto, Ontario, Canada
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Erwin Oechslin
- The Dalglish Family 22q Clinic, University Health Network, Toronto, Ontario, Canada
- Toronto Adult Congenital Heart Disease Program, Division of Cardiology, Peter Munk Cardiac Centre, Department of Medicine, University Health Network, Toronto, Ontario, Canada
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
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25
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Guleroglu FY, Ocal A, Bakirci IT, Cetin A. Does diabetes mellitus affect the development of fetal brain structures and spaces including corpus callosum, subarachnoid space, insula, and parieto-occipital fissure? JOURNAL OF CLINICAL ULTRASOUND : JCU 2023; 51:1483-1491. [PMID: 37864816 DOI: 10.1002/jcu.23597] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Revised: 09/14/2023] [Accepted: 10/12/2023] [Indexed: 10/23/2023]
Abstract
PURPOSE We investigated the impact of pregestational and gestational diabetes mellitus (PGDM and GDM) on the development of fetal intracranial structures and spaces. METHODS This prospective cross-sectional study involved singleton pregnancies between 20 and 32 weeks of gestation. The study comprised a control group (n = 65) of healthy pregnant women without diabetes mellitus (DM); a PGDM group (n = 43) of pregnant women having type 2 DM in a controlled diabetic state; and a GDM group (n = 26) of pregnant women with GDM diagnosed with 2-h 75-g oral glucose tolerance test and received intervention to reduce the diabetic impact on fetus. During neurosonographic evaluation, the simultaneous measurements of corpus callosum (CC) width and depth in the midsagittal image; and lateral craniocortical and posterior craniocortical widths of the subarachnoid space and insular and parieto-occipital fissure depths in the axial image were performed. Before statistical analysis, these values were carefully adjusted for the occipitofrontal diameter. RESULTS The DM groups displayed substantially higher frequencies of family history of DM and obstetric history of GDM compared to the control group (p < 0.05). Regarding the neurosonographic parameters, the CC length and insular and parieto-occipital fissure depths were significantly increased in the GDM group but not in the PGDM group (p < 0.05). No significant difference was found among the study groups regarding other neurosonographic parameters (p > 0.05). CONCLUSION The results of neurosonographical evaluation of fetal brain structures and spaces reveal that diabetic impact may not be seen in the presence of PGDM, especially in pregnant women receiving prenatal interventions to reduce or avoid diabetic adverse effects on fetal brain development. The effect of GDM on neurosonographically assessed fetal brain development should be evaluated in further studies with subjects matched for gestational weeks and antenatal care conditions.
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Affiliation(s)
- Filiz Yarsilikal Guleroglu
- Department of Obstetrics and Gynecology, Haseki Training and Research Hospital, University of Health Sciences, Istanbul, Turkey
| | - Aydın Ocal
- Department of Obstetrics and Gynecology, Haseki Training and Research Hospital, University of Health Sciences, Istanbul, Turkey
| | - Isil Turan Bakirci
- Department of Obstetrics and Gynecology, Basaksehir Cam and Sakura City Hospital, Istanbul, Turkey
| | - Ali Cetin
- Department of Obstetrics and Gynecology, Haseki Training and Research Hospital, University of Health Sciences, Istanbul, Turkey
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Panigrahy A, Blüml S, Rajagopalan V. Altered In Utero Metabolic Brain Trajectories in CHD: Going Beyond Fetal Brain Structure and Physiology. J Am Coll Cardiol 2023; 82:1624-1627. [PMID: 37821173 PMCID: PMC11136159 DOI: 10.1016/j.jacc.2023.08.039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Accepted: 08/31/2023] [Indexed: 10/13/2023]
Affiliation(s)
- Ashok Panigrahy
- Department of Radiology, Bioengineering, Bioinformatics and Developmental Biology, UPMC Children's Hospital of Pittsburgh, Pittsburgh, Pennsylvania, USA.
| | - Stefan Blüml
- Department of Radiology, Children's Hospital of Los Angeles, Keck School of Medicine and Biomedical Engineering, USC, Los Angeles, California, USA
| | - Vidya Rajagopalan
- Department of Pediatrics and Radiology, Children's Hospital of Los Angeles, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
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Grisolia G, Pinto A. Smart ICV™ versus VOCAL™ in fetal brain volume assessment: Can we begin to trust artificial intelligence in clinical practice? JOURNAL OF CLINICAL ULTRASOUND : JCU 2023; 51:1152-1154. [PMID: 37431153 DOI: 10.1002/jcu.23521] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Accepted: 06/28/2023] [Indexed: 07/12/2023]
Abstract
This paper is a commentary about an interesting research conducted with the aim of testing the agreement between manual versus automatic technique in measuring fetal brain volume. Given the high degree of reliability between the two techniques, we hope that the new automatic software can become useful tools in identifying fetuses with reduced brain volume at high risk of adverse neurological outcome.
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Affiliation(s)
- Gianpaolo Grisolia
- Department of Obstetrics and Gynecology, Carlo Poma Hospital, Mantua, Italy
| | - Alessia Pinto
- Department of Obstetrics and Gynecology, Carlo Poma Hospital, Mantua, Italy
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28
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Reducing Perioperative Brain Injury in Congenital Heart Disease: A Ray of Hope. J Am Coll Cardiol 2023; 81:267-269. [PMID: 36653094 DOI: 10.1016/j.jacc.2022.11.027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Accepted: 11/28/2022] [Indexed: 01/18/2023]
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