Abnormal microbiota due to prenatal antibiotic as a possible risk factor for Attention-Deficit / Hyperactivity Disorder (ADHD).

International review of neurobiology Pub Date : 2025-01-01 Epub Date: 2025-04-15 DOI:10.1016/bs.irn.2025.03.007
Sudharsan Parthasarathy, Bupesh Giridharan, Jogeswar Panigrahi, Longnyu M Konyak, Nokenketla Jamir, Siva Vijayakumar Tharumasivam
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Abstract

One of the major issues modern medicine faces is the increasing use of antibiotics in reaction to the increased incidence of infectious agents. The current trend of antibiotic overuse contributes to microbial dysbiosis. Recent studies have hypothesized that antibiotic exposure during pregnancy, which alters the composition of the microbiome, might increase the likelihood of attention deficit hyperactivity disorder (ADHD). In addition to the ongoing discussion about the potential links between antibiotic usage, microbiome dysbiosis, and ADHD, there is a rising interest in integrating AI and ML into healthcare practices. Diagnosis, treatment plans, and prognoses are all enhanced by these technological advancements. Remote monitors or telemedicine monitoring are among the management techniques described in this chapter for effectively managing illnesses. Also discussed are ways to halt the progression of diseases by preventative measures that use biosensor technology and dietary approaches. Personalized treatment programs, disease progression stages, and prognosis evaluations are all made possible with the use of artificial intelligence and machine learning. By using these technologies to provide individualized therapy, healthcare practitioners may get a better understanding of ADHD and perhaps improve patient outcomes.

产前抗生素引起的微生物群异常可能是注意力缺陷/多动障碍(ADHD)的危险因素。
现代医学面临的主要问题之一是越来越多地使用抗生素来应对传染病的发病率增加。目前抗生素过度使用的趋势导致微生物生态失调。最近的研究假设,怀孕期间接触抗生素会改变微生物群的组成,可能会增加注意力缺陷多动障碍(ADHD)的可能性。除了正在进行的关于抗生素使用、微生物群失调和多动症之间潜在联系的讨论之外,人们对将人工智能和机器学习整合到医疗保健实践中的兴趣也越来越大。诊断、治疗计划和预后都因这些技术进步而得到改善。远程监控或远程医疗监控是本章描述的有效管理疾病的管理技术之一。还讨论了如何通过使用生物传感器技术和饮食方法的预防措施来阻止疾病的进展。使用人工智能和机器学习,个性化治疗方案、疾病进展阶段和预后评估都成为可能。通过使用这些技术来提供个性化的治疗,医疗从业人员可以更好地了解多动症,并可能改善患者的治疗效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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