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Zhang H, Lin Y, Li S, Bi J, Zeng J, Mo C, Xu S, Jia B, Lu Y, Liu C, Liu Z. Effects of bacterial extracellular vesicles derived from oral and gastrointestinal pathogens on systemic diseases. Microbiol Res 2024; 285:127788. [PMID: 38833831 DOI: 10.1016/j.micres.2024.127788] [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: 03/04/2024] [Revised: 04/18/2024] [Accepted: 05/26/2024] [Indexed: 06/06/2024]
Abstract
Oral microbiota and gastrointestinal microbiota, the two largest microbiomes in the human body, are closely correlated and frequently interact through the oral-gut axis. Recent research has focused on the roles of these microbiomes in human health and diseases. Under normal conditions, probiotics and commensal bacteria can positively impact health. However, altered physiological states may induce dysbiosis, increasing the risk of pathogen colonization. Studies suggest that oral and gastrointestinal pathogens contribute not only to localized diseases at their respective colonized sites but also to the progression of systemic diseases. However, the mechanisms by which bacteria at these local sites are involved in systemic diseases remain elusive. In response to this gap, the focus has shifted to bacterial extracellular vesicles (BEVs), which act as mediators of communication between the microbiota and the host. Numerous studies have reported the targeted delivery of bacterial pathogenic substances from the oral cavity and the gastrointestinal tract to distant organs via BEVs. These pathogenic components subsequently elicit specific cellular responses in target organs, thereby mediating the progression of systemic diseases. This review aims to elucidate the extensive microbial communication via the oral-gut axis, summarize the types and biogenesis mechanisms of BEVs, and highlight the translocation pathways of oral and gastrointestinal BEVs in vivo, as well as the impacts of pathogens-derived BEVs on systemic diseases.
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Affiliation(s)
- Han Zhang
- Department of Endodontics, Stomatological Hospital, School of Stomatology, Southern Medical University, Guangzhou, Guangdong 510515, China
| | - Yunhe Lin
- Department of Endodontics, Stomatological Hospital, School of Stomatology, Southern Medical University, Guangzhou, Guangdong 510515, China
| | - Siwei Li
- Department of Endodontics, Stomatological Hospital, School of Stomatology, Southern Medical University, Guangzhou, Guangdong 510515, China
| | - Jiaming Bi
- Department of Endodontics, Stomatological Hospital, School of Stomatology, Southern Medical University, Guangzhou, Guangdong 510515, China
| | - Jiawei Zeng
- Department of Endodontics, Stomatological Hospital, School of Stomatology, Southern Medical University, Guangzhou, Guangdong 510515, China
| | - Chuzi Mo
- Department of Endodontics, Stomatological Hospital, School of Stomatology, Southern Medical University, Guangzhou, Guangdong 510515, China
| | - Shuaimei Xu
- Department of Endodontics, Stomatological Hospital, School of Stomatology, Southern Medical University, Guangzhou, Guangdong 510515, China
| | - Bo Jia
- Department of Oral and Maxillofacial Surgery, Stomatological Hospital, School of Stomatology, Southern Medical University, Guangzhou, Guangdong 510515, China
| | - Yu Lu
- Department of Endodontics, Stomatological Hospital, School of Stomatology, Southern Medical University, Guangzhou, Guangdong 510515, China
| | - Chengxia Liu
- Department of Endodontics, Stomatological Hospital, School of Stomatology, Southern Medical University, Guangzhou, Guangdong 510515, China
| | - Zhongjun Liu
- Department of Endodontics, Stomatological Hospital, School of Stomatology, Southern Medical University, Guangzhou, Guangdong 510515, China.
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Wei S, Gao Q, Li Y, Su L. Any reduction in maternal kidney mass associated with adverse pregnancy outcomes: more evidence is needed. Kidney Int 2024; 106:317. [PMID: 39032969 DOI: 10.1016/j.kint.2024.05.019] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2024] [Revised: 05/16/2024] [Accepted: 05/28/2024] [Indexed: 07/23/2024]
Affiliation(s)
- Shiyuan Wei
- Department of Gynecology, Guangdong Second Provincial General Hospital, Guangzhou, Guangdong, China
| | - Qi Gao
- Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Yanqin Li
- Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Licong Su
- Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
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Guo D, Diao Z, Wang K, Pang C. Causal association between rheumatoid arthritis and pregnancy loss and intrauterine growth retardation: A bidirectional two-sample Mendelian randomization study. Medicine (Baltimore) 2024; 103:e36873. [PMID: 38215086 PMCID: PMC10783369 DOI: 10.1097/md.0000000000036873] [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: 11/21/2023] [Accepted: 12/15/2023] [Indexed: 01/14/2024] Open
Abstract
OBJECTIVE To investigate the causal relationship between rheumatoid arthritis (RA) and pregnancy loss and intrauterine growth retardation (IUGR) using Mendelian randomization (MR). METHODS Genetic variants associated with RA (12,555 cases and 240,862 controls), miscarriage (1475 cases and 149,622 controls), and IUGR (3558 cases and 207,312 controls) were obtained from the FinnGen consortium, and supplementary data on RA (5201 cases and 457,732 controls) and miscarriage (7069 cases and 250,492 controls) were obtained from the Medical Research Council Integrated Epidemiology Unit (MRC-IEU). 47 Single nucleotide polymorphisms (SNPs) associated with RA were screened as instrumental variables (IV). The causal relationship between RA and pregnancy loss and IUGR were assessed by 5 MR methods, mainly inverse variance weighting (IVW). Sensitivity analyses were also performed to test the stability of the results. RESULTS Bidirectional MR showed that genetically predicted RA was causally associated with pregnancy loss and IUGR in forward MR analyses, and that RA significantly increased pregnancy loss [odds ratio (OR) = 1.13, 95% confidence interval (CI): 1.00-1.33, P = .03] and IUGR (OR = 1.08, 95% CI: 1.01-1.15, P = .019). In the reverse MR, there was no causal association between pregnancy loss (P = .15) and IUGR (P = .87) and RA. CONCLUSION This study found a significant genetic association between RA and pregnancy loss and IUGR. RA is considered to be a high-risk factor for adverse maternal outcomes. Pre-pregnancy prophylaxis and intra-pregnancy control of patients should be emphasized to reduce the incidence of adverse pregnancy outcomes such as pregnancy loss and IUGR.
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Affiliation(s)
- Danyang Guo
- The First Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Zhihao Diao
- School of Acupuncture and Tuina, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Kehua Wang
- Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Conghui Pang
- The First Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan, China
- Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, China
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Stephenson J, Godfrey KM. How Does Current Evidence Inform Policy and Practice for Prepregnancy Health? Obstet Gynecol 2023; 142:1275-1277. [PMID: 37973065 DOI: 10.1097/aog.0000000000005433] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2023]
Affiliation(s)
- Judith Stephenson
- Judith Stephenson is from the Institute for Women's Health, University College London, London, United Kingdom. Keith M. Godfrey is from the MRC Lifecourse Epidemiology Centre and NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, United Kingdom;
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