Microbiota Metabolite Profiles and Dietary Intake in Older Individuals with Insomnia of Short vs. Normal Sleep Duration

Recent evidence suggests that the gut microbiota plays a role in insomnia pathogenesis. This study compared the dietary habits and microbiota metabolites of older adults with insomnia of short vs. normal sleep duration (ISSD and INSD, respectively). Data collection included sleep assessment through actigraphy, dietary analysis using the Food Frequency Questionnaire, and metabolomic profiling of stool samples. The results show that ISSD individuals had higher body mass index and a greater prevalence of hypertension. Significant dietary differences were observed, with the normal sleep group consuming more kilocalories per day and specific aromatic amino acids (AAAs) phenylalanine and tyrosine and branch-chain amino acid (BCAA) valine per protein content than the short sleep group. Moreover, metabolomic analysis identified elevated levels of the eight microbiota metabolites, benzophenone, pyrogallol, 5-aminopental, butyl acrylate, kojic acid, deoxycholic acid (DCA), trans-anethole, and 5-carboxyvanillic acid, in the short compared to the normal sleep group. The study contributes to the understanding of the potential role of dietary and microbial factors in insomnia, particularly in the context of sleep duration, and opens avenues for targeted dietary interventions and gut microbiota modulation as potential therapeutic approaches for treating insomnia.

Effects of acupuncture in treating insomnia due to spleen-stomach disharmony syndrome and its influence on intestinal microbiome: Study protocol for a randomized controlled trial

BACKGROUND

Insomnia is a common complaint that is closely related to gastrointestinal symptoms, which is consistent with the traditional Chinese medicine classical theory of "stomach disharmony leading to restless sleep." Acupuncture is an effective complementary and alternative medicine therapy to improve gastrointestinal function and restore the normal sleep-wake cycle. However, studies on the effectiveness of acupuncture for insomnia due to spleen-stomach disharmony syndrome are limited to case reports and few randomized controlled trials; deeper research on its mechanism is still lacking. This randomized controlled trial aims to assess the treatment efficacy of "harmonizing stomach to tranquilize mind" acupuncture for insomnia and its influence on the intestinal microbiome.

METHODS/DESIGN

This is a randomized, single-blind, parallel-group study. Sixty eligible patients with insomnia due to spleen-stomach disharmony syndrome will be randomly divided into two groups (1:1 allocation ratio). The intervention group will use "harmonizing stomach to tranquilize mind" acupuncture, and the control group will receive sham acupuncture. Participants will receive 5 acupuncture treatment sessions per week for 4 consecutive weeks. The Pittsburgh Sleep Quality Index will be used to evaluate the clinical efficacy of acupuncture treatment by making assessments at baseline, the end of treatment and the end of the follow-up. High-throughput 16S ribosomal ribonucleic acid gene sequencing will be performed to detect changes in the intestinal microbial composition before and after treatment.

DISCUSSION

The results of this trial are expected to confirm that "harmonizing stomach to tranquilize mind" acupuncture can effectively relieve insomnia and alter the intestinal microbiome.

TRIAL REGISTRATION

Chinese Clinical Trials Registry: ChiCTR1800017092.

medplot: a web application for dynamic summary and analysis of longitudinal medical data based on R

In biomedical studies the patients are often evaluated numerous times and a large number of variables are recorded at each time-point. Data entry and manipulation of longitudinal data can be performed using spreadsheet programs, which usually include some data plotting and analysis capabilities and are straightforward to use, but are not designed for the analyses of complex longitudinal data. Specialized statistical software offers more flexibility and capabilities, but first time users with biomedical background often find its use difficult. We developed medplot, an interactive web application that simplifies the exploration and analysis of longitudinal data. The application can be used to summarize, visualize and analyze data by researchers that are not familiar with statistical programs and whose knowledge of statistics is limited. The summary tools produce publication-ready tables and graphs. The analysis tools include features that are seldom available in spreadsheet software, such as correction for multiple testing, repeated measurement analyses and flexible non-linear modeling of the association of the numerical variables with the outcome. medplot is freely available and open source, it has an intuitive graphical user interface (GUI), it is accessible via the Internet and can be used within a web browser, without the need for installing and maintaining programs locally on the user’s computer. This paper describes the application and gives detailed examples describing how to use the application on real data from a clinical study including patients with early Lyme borreliosis.