Barone Monica, Martucci Morena, Sciara Giuseppe, Conte Maria, Medina Laura Smeldy Jurado, Iattoni Lorenzo, Miele Filomena, Fonti Cristina, Franceschi Claudio, Brigidi Patrizia, Salvioli Stefano, Provini Federica, Turroni Silvia, Santoro Aurelia
Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy.
Department of Pharmacy and Biotechnology, University of Bologna, Bologna, Italy.
EPMA J. 2024 Jun 6;15(3):471-489. doi: 10.1007/s13167-024-00369-1. eCollection 2024 Sep.
Insomnia persists as a prevalent sleep disorder among middle-aged and older adults, significantly impacting quality of life and increasing susceptibility to age-related diseases. It is classified into objective insomnia (O-IN) and paradoxical insomnia (P-IN), where subjective and objective sleep assessments diverge. Current treatment regimens for both patient groups yield unsatisfactory outcomes. Consequently, investigating the neurophysiological distinctions between P-IN and O-IN is imperative for devising novel precision interventions aligned with primary prediction, targeted prevention, and personalized medicine (PPPM) principles.Working hypothesis and methodology.Given the emerging influence of gut microbiota (GM) on sleep physiology via the gut-brain axis, our study focused on characterizing the GM profiles of a well-characterized cohort of 96 Italian postmenopausal women, comprising 54 insomniac patients (18 O-IN and 36 P-IN) and 42 controls, through 16S rRNA amplicon sequencing. Associations were explored with general and clinical history, sleep patterns, stress, hematobiochemical parameters, and nutritional patterns.
Distinctive GM profiles were unveiled between O-IN and P-IN patients. O-IN patients exhibited prominence in the family, including and , along with , , and . Conversely, P-IN patients were mainly discriminated by , , , , and respective families, along with .
These findings provide valuable insights into the microbiota-mediated mechanism of O-IN versus P-IN onset. GM profiling may thus serve as a tailored stratification criterion, enabling the identification of women at risk for specific insomnia subtypes and facilitating the development of integrated microbiota-based predictive diagnostics, targeted prevention, and personalized therapies, ultimately enhancing clinical effectiveness.
The online version contains supplementary material available at 10.1007/s13167-024-00369-1.
失眠在中老年人群中仍然是一种普遍存在的睡眠障碍，严重影响生活质量，并增加患年龄相关疾病的易感性。它分为客观失眠（O-IN）和矛盾性失眠（P-IN），主观和客观睡眠评估结果存在差异。目前这两类患者的治疗方案效果均不理想。因此，研究P-IN和O-IN之间的神经生理差异对于设计符合初级预测、靶向预防和精准医学（PPPM）原则的新型精准干预措施至关重要。
工作假设和方法。鉴于肠道微生物群（GM）通过肠-脑轴对睡眠生理的影响日益显著，我们的研究聚焦于通过16S rRNA扩增子测序，对96名意大利绝经后女性进行特征描述，其中包括54名失眠患者（18名O-IN和36名P-IN）和42名对照。我们探索了GM与一般病史、临床病史、睡眠模式、压力、血液生化参数和营养模式之间的关联。
O-IN和P-IN患者之间呈现出独特的GM特征。O-IN患者在 科中表现突出，包括 属和 属，以及 属、 属和 属。相反，P-IN患者主要由 属、 属、 属、 属和各自的科来区分，以及 属。
这些发现为O-IN与P-IN发病的微生物群介导机制提供了有价值的见解。因此，GM分析可作为一种量身定制的分层标准，能够识别特定失眠亚型的风险女性，并促进基于微生物群的综合预测诊断、靶向预防和个性化治疗的发展，最终提高临床疗效。
在线版本包含可在10.1007/s13167-024-00369-1获取的补充材料。
