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Pain, obesity, adenosine salvage disruption, and smoking behavior mediate the effect of gut microbiota on sleep disorders: results from network Mendelian randomization and 16S rDNA sequencing.
Li, Fu-Jia; Zhang, Ru-Yu; Li, Jin-Yu; Liu, Yu-Ning; Zhang, Zi-Xuan; Du, Li; Li, Yang-Dan-Yu; Liu, Xu; Zhang, Wei; Cui, Gui-Yun; Xu, Chuan-Ying.
Afiliación
  • Li FJ; Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
  • Zhang RY; Department of Pulmonary and Critical Care Medicine, First People's Hospital of Zigong, Zigong, Sichuan, China.
  • Li JY; Department of Respiratory and Critical Care Medicine, The Second Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
  • Liu YN; Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
  • Zhang ZX; Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
  • Du L; Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
  • Li YD; Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
  • Liu X; Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
  • Zhang W; Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
  • Cui GY; Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
  • Xu CY; Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Front Microbiol ; 15: 1413218, 2024.
Article en En | MEDLINE | ID: mdl-39144232
ABSTRACT

Objectives:

The objective of this study is to investigate the indirect causalities between gut microbiota and sleep disorders.

Methods:

In stage 1, we utilized 196 gut microbiota as the exposure factor and conducted a two-sample univariable Mendelian randomization (MR) analysis on five sleep disorders insomnia, excessive daytime sleepiness (EDS), sleep-wake rhythm disorders (SWRD), obstructive sleep apnea (OSA), and isolated REM sleep behavior disorder (iRBD). In stage 2, we validated the MR findings by comparing fecal microbiota abundance between patients and healthy controls through 16S rDNA sequencing. In stage 3, we explored the indirect pathways by which the microbiota affects sleep, using 205 gut microbiota metabolic pathways and 9 common risk factors for sleep disorders as candidate mediators in a network MR analysis.

Results:

In stage 1, the univariable MR analysis identified 14 microbiota potentially influencing five different sleep disorders. In stage 2, the results from our observational study validated four of these associations. In stage 3, the network MR analysis revealed that the Negativicutes class and Selenomonadales order might worsen insomnia by increasing pain [mediation 12.43% (95% CI 0.47, 24.39%)]. Oxalobacter could raise EDS by disrupting adenosine reuptake [25.39% (1.84, 48.95%)]. Allisonella may elevate OSA risk via obesity promotion [36.88% (17.23, 56.54%)], while the Eubacterium xylanophilum group may lower OSA risk by decreasing smoking behavior [7.70% (0.66, 14.74%)].

Conclusion:

Triangulation of evidence from the MR and observational study revealed indirect causal relationships between the microbiota and sleep disorders, offering fresh perspectives on how gut microbiota modulate sleep.
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Front Microbiol Año: 2024 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Front Microbiol Año: 2024 Tipo del documento: Article País de afiliación: China
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