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Zhong Y, Kang X, Bai X, Pu B, Smerin D, Zhao L, Xiong X. The Oral-Gut-Brain Axis: The Influence of Microbes as a Link of Periodontitis With Ischemic Stroke. CNS Neurosci Ther 2024; 30:e70152. [PMID: 39675010 DOI: 10.1111/cns.70152] [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: 08/14/2024] [Revised: 11/03/2024] [Accepted: 11/20/2024] [Indexed: 12/17/2024] Open
Abstract
Periodontitis, a non-communicable chronic inflammation disease resulting from dysbiosis of the oral microbiota, has been demonstrated to have a positive association with the risk of ischemic stroke (IS). The major periodontal pathogens contribute to the progression of stroke-related risk factors such as obesity, diabetes, atherosclerosis, and hypertension. Transcriptional changes in periodontitis pathogens have been detected in oral samples from stroke patients, suggesting a new conceptual framework involving microorganisms. The bidirectional regulation between the gut and the central nervous system (CNS) is mediated by interactions between intestinal microflora and brain cells. The connection between the oral cavity and gut through microbiota indicates that the oral microbial community may play a role in mediating complex communication between the oral cavity and the CNS; however, underlying mechanisms have yet to be fully understood. In this review, we present an overview of key concepts and potential mechanisms of interaction between the oral-gut-brain axis based on previous research, focusing on how the oral microbiome (especially the periodontal pathogens) impacts IS and its risk factors, as well as the mediating role of immune system homeostasis, and providing potential preventive and therapeutic approaches.
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Affiliation(s)
- Yi Zhong
- Department of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, China
- Department of Anesthesiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xianhui Kang
- Department of Anesthesiology, the First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Xiaofeng Bai
- Department of Oral and Maxillofacial Surgery, Stomatology Hospital, Zhejiang University School of Medicine, Zhejiang, China
| | - Bei Pu
- Department of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, China
| | - Daniel Smerin
- Department of Neurosurgery, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA
| | - Liang Zhao
- Department of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, China
| | - Xiaoxing Xiong
- Department of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, China
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Duenas S, McGee Z, Mhatre I, Mayilvahanan K, Patel KK, Abdelhalim H, Jayprakash A, Wasif U, Nwankwo O, Degroat W, Yanamala N, Sengupta PP, Fine D, Ahmed Z. Computational approaches to investigate the relationship between periodontitis and cardiovascular diseases for precision medicine. Hum Genomics 2024; 18:116. [PMID: 39427205 PMCID: PMC11491019 DOI: 10.1186/s40246-024-00685-7] [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: 04/06/2024] [Accepted: 10/14/2024] [Indexed: 10/21/2024] Open
Abstract
Periodontitis is a highly prevalent inflammatory illness that leads to the destruction of tooth supporting tissue structures and has been associated with an increased risk of cardiovascular disease (CVD). Precision medicine, an emerging branch of medical treatment, aims can further improve current traditional treatment by personalizing care based on one's environment, genetic makeup, and lifestyle. Genomic databases have paved the way for precision medicine by elucidating the pathophysiology of complex, heritable diseases. Therefore, the investigation of novel periodontitis-linked genes associated with CVD will enhance our understanding of their linkage and related biochemical pathways for targeted therapies. In this article, we highlight possible mechanisms of actions connecting PD and CVD. Furthermore, we delve deeper into certain heritable inflammatory-associated pathways linking the two. The goal is to gather, compare, and assess high-quality scientific literature alongside genomic datasets that seek to establish a link between periodontitis and CVD. The scope is focused on the most up to date and authentic literature published within the last 10 years, indexed and available from PubMed Central, that analyzes periodontitis-associated genes linked to CVD. Based on the comparative analysis criteria, fifty-one genes associated with both periodontitis and CVD were identified and reported. The prevalence of genes associated with both CVD and periodontitis warrants investigation to assess the validity of a potential linkage between the pathophysiology of both diseases.
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Affiliation(s)
- Sophia Duenas
- Rutgers Institute for Health, Health Care Policy and Aging Research, Rutgers University, 112 Paterson Street, New Brunswick, NJ, 08901, USA
| | - Zachary McGee
- Rutgers Institute for Health, Health Care Policy and Aging Research, Rutgers University, 112 Paterson Street, New Brunswick, NJ, 08901, USA
| | - Ishani Mhatre
- Rutgers Institute for Health, Health Care Policy and Aging Research, Rutgers University, 112 Paterson Street, New Brunswick, NJ, 08901, USA
| | - Karthikeyan Mayilvahanan
- Rutgers Institute for Health, Health Care Policy and Aging Research, Rutgers University, 112 Paterson Street, New Brunswick, NJ, 08901, USA
| | - Kush Ketan Patel
- Rutgers Institute for Health, Health Care Policy and Aging Research, Rutgers University, 112 Paterson Street, New Brunswick, NJ, 08901, USA
| | - Habiba Abdelhalim
- Rutgers Institute for Health, Health Care Policy and Aging Research, Rutgers University, 112 Paterson Street, New Brunswick, NJ, 08901, USA
| | - Atharv Jayprakash
- Rutgers Institute for Health, Health Care Policy and Aging Research, Rutgers University, 112 Paterson Street, New Brunswick, NJ, 08901, USA
| | - Uzayr Wasif
- Rutgers Institute for Health, Health Care Policy and Aging Research, Rutgers University, 112 Paterson Street, New Brunswick, NJ, 08901, USA
| | - Oluchi Nwankwo
- Rutgers Institute for Health, Health Care Policy and Aging Research, Rutgers University, 112 Paterson Street, New Brunswick, NJ, 08901, USA
| | - William Degroat
- Rutgers Institute for Health, Health Care Policy and Aging Research, Rutgers University, 112 Paterson Street, New Brunswick, NJ, 08901, USA
| | - Naveena Yanamala
- Division of Cardiovascular Diseases and Hypertension, Rutgers Biomedical and Health Sciences, Robert Wood Johnson Medical School, 125 Paterson St, New Brunswick, NJ, USA
- Department of Medicine, Rutgers Biomedical and Health Sciences, Robert Wood Johnson Medical School, 125 Paterson St, New Brunswick, NJ, USA
| | - Partho P Sengupta
- Division of Cardiovascular Diseases and Hypertension, Rutgers Biomedical and Health Sciences, Robert Wood Johnson Medical School, 125 Paterson St, New Brunswick, NJ, USA
- Department of Medicine, Rutgers Biomedical and Health Sciences, Robert Wood Johnson Medical School, 125 Paterson St, New Brunswick, NJ, USA
| | - Daniel Fine
- Department of Oral Biology, Rutgers School of Dental Medicine, 110 Bergen Street, Newark, NJ, US
| | - Zeeshan Ahmed
- Rutgers Institute for Health, Health Care Policy and Aging Research, Rutgers University, 112 Paterson Street, New Brunswick, NJ, 08901, USA.
- Division of Cardiovascular Diseases and Hypertension, Rutgers Biomedical and Health Sciences, Robert Wood Johnson Medical School, 125 Paterson St, New Brunswick, NJ, USA.
- Department of Medicine, Rutgers Biomedical and Health Sciences, Robert Wood Johnson Medical School, 125 Paterson St, New Brunswick, NJ, USA.
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