Skip to main content

EDITORIAL article

Front. Genet., 03 April 2024
Sec. Epigenomics and Epigenetics
This article is part of the Research Topic Epigenetic and Genetic Mechanisms Underlying Cardiovascular Diseases and Neurodevelopmental Disorders View all 11 articles

Editorial: Epigenetic and genetic mechanisms underlying cardiovascular diseases and neurodevelopmental disorders

  • 1Shenzhen Key Laboratory of ENT, Institute of ENT and Longgang ENT Hospital, Shenzhen, China
  • 2Center for Genetic Medicine, Xuzhou Maternity and Child Healthcare Hospital Affiliated to Xuzhou Medical University, Xuzhou, China
  • 3Department of Pharmacology, Faculty of Medicine, Universiti of Malaya, Kuala Lumpur, Malaysia
  • 4Department of Cardiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu, China

Cardiovascular diseases (CVD) and neurodevelopmental disorders (NDD) represent significant health challenges, posing severe threats to human health and quality of life. Emerging as the foremost cause of mortality and disability globally, CVD is intricately linked with a variety of factors such as chronic inflammation and genetic predispositions (Dzau and Hodgkinson, 2024). Similarly, NDD, characterized by deficits in cognitive functions, social interactions, and learning capabilities (Olson et al., 2024), demands deeper understanding of their genetic and epigenetic underpinnings. The complexities of these diseases stem from a multifaceted etiology involving DNA variants, epigenetic modifications, and environmental influences, a narrative supported by research from Srour and Shevell (2014), Homberg et al. (2016), and Hartiala et al. (2021).

Chronic inflammation plays a pivotal role in CVD, such as acute myocardial infarction (AMI) and coronary artery disease (CAD) (Liu C. et al., 2022; Lopez-Candales et al., 2017). Macrophage migration inhibitory factor (MIF) is an important pro-inflammatory cytokine implicated in the pathogenesis of CVD (Zernecke et al., 2008). MIF gene, located at 22q11.2, features polymorphisms such as −173 G/C polymorphism (rs755622), and −974 CATT tetranucleotide repeat (rs5844572), which may influence gene transcription and inflammatory processes. Fouda et al. conducted a meta-analysis of the MIF -173G/C variant’s impact on CVD risk in 9,047 participants, revealing its association with increased CVD risk in specific populations, highlighting the genetic underpinnings of inflammation in CVD.

AMI is a life-threatening disease involving thrombosis, fibrinolysis, inflammation, and lipid metabolism. Jeon et al. identified six early-onset AMI-associated variants, notably rs12639023 as a prognostic marker for cardiac mortality. This genetic perspective is crucial for understanding AMI’s complex pathogenesis. Despite extensive research, the understanding of epigenetic alterations in endothelial cells and their implication in the etiopathology of AMI remains incomplete. Tang et al. addressed this gap by investigating DNA methylation alterations and altered gene expression profile in endothelial cells exposed to oxygen-glucose deprivation. Their findings shed light on oxygen-glucose deprivation-specific genes implicated in coronary endothelial cell injury during AMI.

CAD comprised a broad spectrum of clinical syndromes induced by inadequate blood flow to the myocardium, primarily attributed to subintimal atheroma deposition resulting in arterial stenosis, occlusion and wall thickening (Knuuti et al., 2020). MicroRNA (miRNA) orchestrate multiple crucial processes such as angiogenesis, cell proliferation, differentiation, migration, and apoptosis within the circulatory system. MiRNAs have the potential in facilitating early detection, assessing disease severity, and predicting outcomes in CAD. Lv et al. reported significantly elevated miR-183-5p levels in CAD patients across varying disease severities compared to non-CAD individuals. These results underscore the potential of serum miR-183-5p levels as a predictive biomarker for CAD presence and severity, offering valuable insights into disease progression and prognosis.

Sick Sinus Syndrome (SSS), atrial fibrillation (AF), and pulmonary arterial hypertension (PAH), also represent significant challenges within the realm of CVD. SSS arises from the sinus node dysfunction or impaired electrical impulse conduction, culminating in sinus bradycardia, sinus block, or sinus arrest (De Ponti et al., 2018). Genetic mutations have been linked to familial SSS. Liang et al., identified heterozygous mutations of SCN5A gene in three young familial SSS females, including novel mutation sites not previously reported in Asian patients. Advancements in genetic research have elucidated the genetic substrates of AF, with early-onset AF potentially indicating genetic atrial myopathy (Kany et al., 2021). Silva Cunha et al. reported a young AF patient with extensive atrial fibrosis and extensive areas of low voltage. Genetic analysis unveiled a homozygous pathogenic variant in NPPA, which was parentally inherited. This case underscores the role of genetic predispositions, particularly NPPA mutations, in AF pathogenesis and atrial fibrosis development.

Epigenetic modifications and abnormal immune microenvironment are key factors in PAH pathogenesis (Kim et al., 2015; Liu J. et al., 2022). N6-methyladenosine (m6A) RNA modification, a critical epitranscriptomic mechanism, regulates RNA biology. Gao et al. analyzed the data from the GSE117261 dataset, identifying differential expression of genes (DEGs) and m6A regulators in idiopathic PAH (IPAH) samples. Functional and pathway enrichment analyses incorporating 77 DEGs further underscored aberrant immune activity implicated in IPAH pathogenesis. Notably, histone lactylation, a novel post-translational modification, also assumes significance in PAH. Zhao et al. reviewed the role of histone lactylation in PAH, and its effects on N6-methyladenosine (m6A) and immune microenvironment. These insights offer novel perspectives into PAH diagnosis and pathogenesis.

Benign familial infantile epilepsy (BFIE), late-stage mild cognitive impairment (LMCI) and Alzheimer’s disease (AD) represent critical areas of concern within neurodevelopmental and neurodegenerative disorders (Vigevano, 2005; Dakterzada et al., 2023; Sun et al., 2023). BFIE is a familial epileptic syndrome, characterized with focal seizures that may evolve to secondary generalized tonic-clonic seizures. PRRT2 gene, encoding the proline-rich transmembrane protein 2, is a major causative gene for BFIE (Massimino et al., 2023). Gu et al. reported seven cases of BFIE effectively managed with anti-seizure medication, all stemming from pathogenic PRRT2 variants. Notably, among these variants, the frameshift variant c.397delG was novel, highlighting the importance of whole-exome sequencing in BFIE diagnosis.

In the realm of neurodegenerative diseases, the transition from late-stage mild cognitive impairment (LMCI) to AD poses a significant risk for cognitive decline (Tábuas-Pereira et al., 2016). Zhang et al. explored the association of peripheral blood methylation profiles between individuals experiencing cognitive aging and those diagnosed with LMCI. Abnormal methylation signal intensities for some genes have been identified to be related to an enhanced susceptibility to AD. These findings illuminate the complex interplay between DNA methylation patterns and gene expression regulation in the context of cognitive impairment and Alzheimer’s disease progression, providing potential avenues for further exploration in diagnostic and therapeutic interventions.

In summary, the understanding of the pathogenic mechanisms underlying CVD and NDD remain incomplete due to their complex etiologies. However, the studies featured in the current Research Topic have made significant strides in unraveling these complexities. Primarily focusing on epigenetic and genetic factors, the investigations delved into the intricate etiologies and potential biomarkers crucial for diagnosing these conditions. The findings presented in these studies represent valuable contributions to the existing body of knowledge regarding the origins, progression, and diagnostic strategies for these diseases.

Author contributions

PZ: Conceptualization, Funding acquisition, Writing–original draft, Writing–review and editing, Formal Analysis, Visualization. LG: Conceptualization, Funding acquisition, Writing–original draft, Writing–review and editing. DM: Writing–original draft, Writing–review and editing. HZ: Funding acquisition, Supervision, Writing–original draft, Writing–review and editing, Formal Analysis.

Funding

The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This project was supported by grants from Nanjing Medical Science and Technology Development Project (YKK 22105); Key Medical Talents Training Project of Xuzhou (XWRCHT20220060); Shenzhen Key Medical Discipline Construction Fund (No. SZXK039).

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

Dakterzada, F., Jové, M., Huerto, R., Carnes, A., Sol, J., Pamplona, R., et al. (2023). Changes in plasma neutral and ether-linked lipids are associated with the pathology and progression of Alzheimer’s disease. Aging Dis. 14 (5), 1728–1738. doi:10.14336/AD.2023.0221

PubMed Abstract | CrossRef Full Text | Google Scholar

De Ponti, R., Marazzato, J., Bagliani, G., Leonelli, F. M., and Padeletti, L. (2018). Sick sinus syndrome. Card. Electrophysiol. Clin. 10, 183–195. doi:10.1016/j.ccep.2018.02.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Dzau, V. J., and Hodgkinson, C. P. (2024). RNA therapeutics for the cardiovascular system. Circulation 149 (9), 707–716. doi:10.1161/CIRCULATIONAHA.123.067373

PubMed Abstract | CrossRef Full Text | Google Scholar

Hartiala, J. A., Hilser, J. R., Biswas, S., Lusis, A. J., and Allayee, H. (2021). Gene-environment interactions for cardiovascular disease. Curr. Atheroscler. Rep. 23 (12), 75. doi:10.1007/s11883-021-00974-9

PubMed Abstract | CrossRef Full Text | Google Scholar

Homberg, J. R., Kyzar, E. J., Scattoni, M. L., Norton, W. H., Pittman, J., Gaikwad, S., et al. (2016). Genetic and environmental modulation of neurodevelopmental disorders: translational insights from labs to beds. Brain. Res. Bull. 125, 79–91. doi:10.1016/j.brainresbull.2016.04.015

PubMed Abstract | CrossRef Full Text | Google Scholar

Kany, S., Reissmann, B., Metzner, A., Kirchhof, P., Darbar, D., and Schnabel, R. B. (2021). Genetics of atrial fibrillation-practical applications for clinical management: if not now, when and how? Cardiovasc. Res. 117 (7), 1718–1731. doi:10.1093/cvr/cvab153

PubMed Abstract | CrossRef Full Text | Google Scholar

Kim, J. D., Lee, A., Choi, J., Park, Y., Kang, H., Chang, W., et al. (2015). Epigenetic modulation as a therapeutic approach for pulmonary arterial hypertension. Exp. Mol. Med. 47 (7), e175. doi:10.1038/emm.2015.45

PubMed Abstract | CrossRef Full Text | Google Scholar

Knuuti, J., Wijns, W., Saraste, A., Capodanno, D., Barbato, E., Funck-Brentano, C., et al. (2020). 2019 ESC Guidelines for the diagnosis and management of chronic coronary syndromes. Eur. Heart. J. 41 (3), 407–477. doi:10.1093/eurheartj/ehz425

PubMed Abstract | CrossRef Full Text | Google Scholar

Liu, C., Sun, Z., Shali, S., Mei, Z., Chang, S., Mo, H., et al. (2022a). The gut microbiome and microbial metabolites in acute myocardial infarction. J. Genet. Genomics. 49 (6), 569–578. doi:10.1016/j.jgg.2021.12.007

PubMed Abstract | CrossRef Full Text | Google Scholar

Liu, J., Yang, P., Tian, H., Zhen, K., McCabe, C., Zhao, L., et al. (2022b). Right ventricle remodeling in chronic thromboembolic pulmonary hypertension. J. Transl. Int. Med. 10 (2), 125–133. doi:10.2478/jtim-2022-0027

PubMed Abstract | CrossRef Full Text | Google Scholar

Lopez-Candales, A., Hernández Burgos, P. M., Hernandez-Suarez, D. F., and Harris, D. (2017). Linking Chronic Inflammation with Cardiovascular Disease: From Normal Aging to the Metabolic Syndrome. J. Nat. Sci. 3 (4), e341.

PubMed Abstract | Google Scholar

Massimino, C. R., Portale, L., Sapuppo, A., Pizzo, F., Sciuto, L., Romano, C., et al. (2023). RRT2 related epilepsies: a gene review. J. Pediatr. Neurol. 21 (04), 264–272. doi:10.1055/s-0041-1728683

CrossRef Full Text | Google Scholar

Olson, L., Bishop, S., and Thurm, A. (2024). Differential diagnosis of autism and other neurodevelopmental disorders. Pediatr. Clin. North. Am. 71 (2), 157–177. doi:10.1016/j.pcl.2023.12.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Srour, M., and Shevell, M. (2014). Genetics and the investigation of developmental delay/intellectual disability. Arch. Dis. Child. 99 (4), 386–389. doi:10.1136/archdischild-2013-304063

PubMed Abstract | CrossRef Full Text | Google Scholar

Sun, Y., Hefu, Z., Li, B., Lifang, W., Zhijie, S., Zhou, L., et al. (2023). Plasma extracellular vesicle microRNA analysis of Alzheimer’s disease reveals dysfunction of a neural correlation network. Research 6, 0114. doi:10.34133/research.0114

PubMed Abstract | CrossRef Full Text | Google Scholar

Tábuas-Pereira, M., Baldeiras, I., Duro, D., Santiago, B., Ribeiro, M. H., Leitão, M. J., et al. (2016). Prognosis of early-onset vs late-onset mild cognitive impairment: comparison of conversion rates and its predictors. Geriatrics 1 (2), 11. doi:10.3390/geriatrics1020011

PubMed Abstract | CrossRef Full Text | Google Scholar

Vigevano, F. (2005). Benign familial infantile seizures. Brain Dev. 27 (3), 172–177. doi:10.1016/j.braindev.2003.12.012

PubMed Abstract | CrossRef Full Text | Google Scholar

Zernecke, A., Bernhagen, J., and Weber, C. (2008). Macrophage migration inhibitory factor in cardiovascular disease. Circulation 117 (12), 1594–1602. doi:10.1161/CIRCULATIONAHA.107.729125

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: genetics, cardiovascular disease, neurodevelopmental disorder, epigenetics, coronary artery disease

Citation: Zhang P, Gou L, Murugan DD and Zhang H (2024) Editorial: Epigenetic and genetic mechanisms underlying cardiovascular diseases and neurodevelopmental disorders. Front. Genet. 15:1401354. doi: 10.3389/fgene.2024.1401354

Received: 15 March 2024; Accepted: 21 March 2024;
Published: 03 April 2024.

Edited and reviewed by:

Michael E. Symonds, University of Nottingham, United Kingdom

Copyright © 2024 Zhang, Gou, Murugan and Zhang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Hongsong Zhang, hustzhs@alumni.hust.edu.cn; Lingshan Gou, jifeng0241527@163.com; Peng Zhang, zhangpeng831226@gmail.com

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.