Insomnia and metabolites exhibited a bidirectional relationship, with higher oleate levels linked to lower insomnia risk, and insomnia causally increasing glucose, mannose, and influencing multiple lipids and amino acids, validated by mouse experimental models.
Key Findings
Results
Higher oleate levels were causally associated with lower insomnia risk in the Mendelian randomization analysis.
The association was statistically significant (β: -5.99, p = 0.01).
The reverse direction was not supported: insomnia did not alter oleate levels in the human MR analysis.
Data came from two large GWAS: one on insomnia (336,965 participants) and one on metabolites (7,824 participants).
Genetic variants were used as instrumental variables to infer causal direction.
Results
Insomnia causally increased blood glucose and mannose levels in the Mendelian randomization analysis.
Insomnia increased glucose levels (β: 0.18, p = 0.002).
Insomnia increased mannose levels (β: 0.11, p = 0.02).
These findings suggest insomnia has downstream metabolic consequences on carbohydrate-related metabolites.
Analysis used bidirectional MR design to distinguish cause from effect.
Results
Insomnia causally influenced six lipids and four amino acids in the Mendelian randomization analysis.
Beyond glucose and mannose, insomnia was found to affect a total of six lipid metabolites.
Insomnia also influenced four amino acid metabolites.
The specific identities of these lipids and amino acids are detailed in the full paper beyond what is reported in the abstract.
These findings were derived from the forward-direction MR (insomnia as exposure, metabolites as outcome).
Results
In a mouse chronic sleep deprivation model, blood and fecal oleate levels were significantly reduced.
12 mice were divided into control and chronic sleep deprivation groups (n = 6 each).
Sleep deprivation lasted 32 days before blood and fecal metabolite analysis.
Blood oleate levels were significantly lower in sleep-deprived mice (p = 0.007).
Fecal oleate levels were also reduced in sleep-deprived mice (p = 0.05).
This mouse result appears to contradict the human MR finding that insomnia does not alter oleate, suggesting a complex relationship.
Results
Sleep deprivation in mice raised blood glucose and mannose levels, consistent with the human Mendelian randomization findings.
Both glucose and mannose were elevated in sleep-deprived mice compared to controls (p = 0.001 for both).
This validates the human MR finding that insomnia causally increases glucose (β: 0.18, p = 0.002) and mannose (β: 0.11, p = 0.02).
The mouse model used chronic sleep deprivation over 32 days.
Group sizes were n = 6 per group.
Results
Chronic sleep deprivation in mice lowered blood corticosterone levels.
Corticosterone, a stress hormone, was significantly reduced in sleep-deprived mice (p = 0.03).
This hormonal change was observed after 32 days of chronic sleep deprivation.
This finding suggests sleep deprivation is associated with notable hormonal disruption beyond metabolic changes.
n = 6 per group.
Results
Fecal 4-aminobutyric acid (GABA) was decreased in sleep-deprived mice.
Fecal 4-aminobutyric acid levels were significantly lower in the chronic sleep deprivation group (p = 0.01).
4-aminobutyric acid is also known as gamma-aminobutyric acid (GABA), a key inhibitory neurotransmitter.
This was measured in fecal samples after 32 days of sleep deprivation.
The reduction suggests sleep deprivation may affect gut-derived GABAergic signaling.
Methods
The study employed a bidirectional Mendelian randomization design using large-scale GWAS data to infer causal relationships between metabolites and insomnia.
The insomnia GWAS included 336,965 participants.
The metabolomics GWAS included 7,824 participants.
Genetic variants associated with metabolites and insomnia were used as instrumental variables.
Bidirectional MR tests both metabolites as causes of insomnia and insomnia as a cause of metabolite changes.
Findings were validated using a mouse chronic sleep deprivation model over 32 days with blood and fecal metabolite profiling.
What This Means
This research suggests that the relationship between sleep problems and metabolism runs in both directions. Using genetic data from hundreds of thousands of people, the researchers found that having higher levels of oleate (a type of fatty acid found in foods like olive oil) in the blood is causally linked to a lower risk of insomnia. At the same time, insomnia itself appears to cause changes in metabolism, specifically raising blood sugar (glucose) and mannose levels, as well as affecting multiple fats and amino acids in the body. These findings were supported by experiments in mice: animals subjected to 32 days of chronic sleep deprivation showed higher glucose and mannose, lower oleate in both blood and feces, lower levels of a calming gut chemical (GABA), and reduced corticosterone (a stress hormone).
The use of Mendelian randomization — a method that uses genetic variants as natural experiments — allowed the researchers to move beyond simple associations and make stronger claims about cause and effect. This approach is valuable because it is less susceptible to confounding factors that typically complicate observational studies. The mouse model provided additional biological validation of the human genetic findings, particularly for the glucose and mannose results.
This research suggests that insomnia is not merely a symptom of poor metabolic health, but may actively contribute to metabolic disruptions including elevated blood sugar. It also suggests that oleate levels might play a protective role against insomnia. The authors note that improving sleep hygiene and regular metabolic assessments may help reduce the metabolic consequences of insomnia, though further research is needed to understand the mechanisms and potential clinical applications.
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Fan H, Hsieh C, Chen T, Lai P, Hsu H, Yeh C, et al.. (2026). Causal relationships between insomnia and blood metabolome: a Mendelian randomization study with mouse experimental validation.. Metabolomics : Official journal of the Metabolomic Society. https://doi.org/10.1007/s11306-026-02450-4