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微生物群与宿主的相互作用:探索它们的动态变化及其对人类疾病的影响。

Microbiota-Host Interactions: Exploring Their Dynamics and Contributions to Human Diseases.

作者信息

Chin Siau Wui, Low Zheng Yao, Tan Wei Qi, Azman Adzzie Shazleen

机构信息

School of Science, Monash University Malaysia, Jalan Lagoon Selatan, Bandar Sunway, Subang Jaya, Selangor, Malaysia.

出版信息

Microbiologyopen. 2025 Aug;14(4):e70043. doi: 10.1002/mbo3.70043.

DOI:10.1002/mbo3.70043
PMID:40770906
Abstract

Dysbiosis is the imbalance of bacterial composition, which would otherwise change the human host's metabolic activities and usual microbiota distribution. The outcomes would be as clear as day: losing beneficial bacteria in exchange for the overgrowth of potentially pathogenic bacteria, leading to diseases. It is crucial to unravel the dynamic roles of bacteria in maintaining human health to prevent and alleviate the said dysbiosis. To date, diet, lifestyle, age, and chemical exposures were cited as the leading cause of bacterial dysbiosis atop of genetic factors. This review aims to shed light on how bacterial interplays in maintaining human health and how bacteria-bacteria interaction may play a part in the surge of antimicrobial resistance. The intricate relationship of bacteria dynamics in the gut, skin and oral was detailed to understand how bacteria dysbiosis causes diseases such as irritable bowel syndrome (IBS), inflammatory bowel disease (IBD), acne vulgaris (AV), atopic dermatitis (AD), periodontitis and dental caries. Besides that, current interventions and limitations of therapeutic prospects entailing the growing concepts of rebiosis, including probiotics, prebiotics, synbiotics, microbiota transplantation, and the evolving phage therapy, were also discussed to breathe new life into the development of novel therapeutics against dysbiosis.

摘要

微生物群落失调是指细菌组成的失衡,这种失衡会改变人类宿主的代谢活动和正常的微生物群分布。结果将一目了然:有益细菌减少,取而代之的是潜在致病细菌的过度生长,从而导致疾病。了解细菌在维持人类健康中的动态作用对于预防和缓解上述微生物群落失调至关重要。迄今为止,除了遗传因素外,饮食、生活方式、年龄和化学物质暴露被认为是细菌群落失调的主要原因。本综述旨在阐明细菌在维持人类健康中的相互作用方式,以及细菌间相互作用如何在抗菌药物耐药性激增中发挥作用。详细阐述了肠道、皮肤和口腔中细菌动态的复杂关系,以了解细菌群落失调如何导致诸如肠易激综合征(IBS)、炎症性肠病(IBD)、寻常痤疮(AV)、特应性皮炎(AD)、牙周炎和龋齿等疾病。除此之外,还讨论了当前的干预措施以及治疗前景的局限性,其中涉及不断发展的再生物质概念,包括益生菌、益生元、合生元、微生物群移植以及不断发展的噬菌体疗法,为开发针对微生物群落失调的新型疗法注入新的活力。

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本文引用的文献

1
Probiotics and Synbiotics: Applications, Benefits, and Mechanisms for the Improvement of Human and Ecological Health.益生菌与合生元:改善人类和生态健康的应用、益处及作用机制
J Multidiscip Healthc. 2025 Mar 11;18:1493-1510. doi: 10.2147/JMDH.S501056. eCollection 2025.
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Machine learning prediction of obesity-associated gut microbiota: identifying as a potential therapeutic target.肥胖相关肠道微生物群的机器学习预测:鉴定作为潜在治疗靶点。
Front Microbiol. 2025 Feb 5;15:1488656. doi: 10.3389/fmicb.2024.1488656. eCollection 2024.
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Periodontitis: etiology, conventional treatments, and emerging bacteriophage and predatory bacteria therapies.
牙周炎:病因、传统治疗方法以及新兴的噬菌体和捕食性细菌疗法。
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Assessment of the Effectiveness of Probiotics-assisted Physical Interventions in the Management of Chronic Periodontitis: A Randomized Controlled Clinical Trial.益生菌辅助物理干预治疗慢性牙周炎的疗效评估:一项随机对照临床试验
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Oral Anti-Inflammatory and Symbiotic Effects of Fermented Lingonberry Juice-Potential Benefits in IBD.发酵越橘汁的口服抗炎和共生作用——在炎症性肠病中的潜在益处。
Nutrients. 2024 Aug 29;16(17):2896. doi: 10.3390/nu16172896.
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Isolation of the novel phage SAP71 and its potential use against Staphylococcus aureus in an atopic dermatitis mouse model.新型噬菌体 SAP71 的分离及其在特应性皮炎小鼠模型中抗金黄色葡萄球菌的潜在应用。
Virus Genes. 2024 Dec;60(6):737-746. doi: 10.1007/s11262-024-02106-2. Epub 2024 Sep 5.
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Oral microbiota and metabolites: key players in oral health and disorder, and microbiota-based therapies.口腔微生物群与代谢产物:口腔健康与疾病的关键因素,以及基于微生物群的疗法。
Front Microbiol. 2024 Aug 20;15:1431785. doi: 10.3389/fmicb.2024.1431785. eCollection 2024.
8
Polysaccharides from as a Potential Prebiotic to Improve the Gut Microbiota in High-Fat Diet Mice.来自[具体来源]的多糖作为一种潜在的益生元改善高脂饮食小鼠的肠道微生物群
Microorganisms. 2024 Aug 13;12(8):1654. doi: 10.3390/microorganisms12081654.
9
Pharmacological Trends in the Management of Atopic Dermatitis: A Comprehensive Review.特应性皮炎管理中的药理学趋势:全面综述
Cureus. 2024 Jul 11;16(7):e64302. doi: 10.7759/cureus.64302. eCollection 2024 Jul.
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Predicting the immunomodulatory activity of probiotic lactic acid bacteria using supervised machine learning in a Cornu aspersum snail model.利用 Cornu aspersum 蜗牛模型中的监督机器学习预测益生菌乳酸菌的免疫调节活性。
Fish Shellfish Immunol. 2024 Sep;152:109788. doi: 10.1016/j.fsi.2024.109788. Epub 2024 Jul 23.