P291. Effects of Sleep on the Gut Microbiota and Metabolome in Patients With Depression and Anxiety: A Prospective Observational Study

Tanaka, Arisa; Sanada, Kenji; Kurokawa, Shunya; Miyaho, Katsuma; Tachibana, Tomoyuki; Noda, Yoichi; Nakajima, Shigeru; Kishimoto, Toshifumi; Iwanami, Akira

doi:10.1016/j.biopsych.2022.02.527

Cited by 2 publications

(3 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Similarly, in a study investigating sleep quality, gut microbiota, and metabolome profiles in patients with ANXD and MDD, Bacteroides was found to be positively correlated with sleep quality scores. This suggests that particular microbes are depleted in participants with insomnia relative to people with ANXD and MDD but not insomnia (58). Studies like these support our examination of particular microbes associated with medication use because, while some microbes may be associated with ANXD or MDD overall, there is also a subset of microbes associated with particular phenotypes.…”

Section: Discussionmentioning

confidence: 99%

Medication Use is Associated with Distinct Microbial Features in Anxiety and Depression

Dilmore,

Kuplicki,

McDonald

et al. 2024

Preprint

View full text Add to dashboard Cite

This study investigated the relationship between gut microbiota and neuropsychiatric disorders (NPDs), specifically anxiety disorder (ANXD) and/or major depressive disorder (MDD), as defined by DSM-IV or V criteria. The study also examined the influence of medication use, particularly antidepressants and/or anxiolytics, classified through the Anatomical Therapeutic Chemical (ATC) Classification System, on the gut microbiota. Both 16S rRNA gene amplicon sequencing and shallow shotgun sequencing were performed on DNA extracted from 666 fecal samples from the Tulsa-1000 and NeuroMAP CoBRE cohorts. The results highlight the significant influence of medication use; antidepressant use is associated with significant differences in gut microbiota beta diversity and has a larger effect size than NPD diagnosis. Next, specific microbes were associated with ANXD and MDD, highlighting their potential for non-pharmacological intervention. Finally, the study demonstrated the capability of Random Forest classifiers to predict diagnoses of NPD and medication use from microbial profiles, suggesting a promising direction for the use of gut microbiota as biomarkers for NPD. The findings suggest that future research on the gut microbiota's role in NPD and its interactions with pharmacological treatments are needed.

show abstract

Section: Discussionmentioning

confidence: 99%

Medication Use is Associated with Distinct Microbial Features in Anxiety and Depression

Dilmore,

Kuplicki,

McDonald

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…The production of many of such metabolites, such as short-chain fatty acids, tryptophan metabolites, and bile acids, are themselves dependent on the presence, abundance, and function of the gut microbiota 39 . High throughput, next-generation metabolomics, a technique to measure the thousands of such metabolites, can now detect these molecules in a sample and can be an excellent proxy for how one's life history has influenced one's response to stress 40–47 . For example, in the elite survivor study mentioned previously, investigators demonstrated that microbiome-derived indoles became enriched in the plasma, resulting in their known binding to the aryl-hydrocarbon receptor on macrophages with subsequent activation of a recovery-directed immune response.…”

Section: Can a Comprehensive Analysis Of The Gut Microbiome Reflect T...mentioning

confidence: 99%

“…39 High throughput, next-generation metabolomics, a technique to measure the thousands of such metabolites, can now detect these molecules in a sample and can be an excellent proxy for how one's life history has influenced one's response to stress. [40][41][42][43][44][45][46][47] For example, in the elite survivor study mentioned previously, investigators demonstrated that microbiome-derived indoles became enriched in the plasma, resulting in their known binding to the arylhydrocarbon receptor on macrophages with subsequent activation of a recovery-directed immune response. In summary, converging lines of evidence suggest that a more comprehensive analysis of how the patient's life history and social determinants of health is reflected within the compositional and functional output (i.e., metabolites) of the gut microbiome has the potential to advance our understanding of the "within-group" variability in outcome that occurs from a given disease state and its treatment.…”

mentioning

confidence: 99%

Social determinants of health, the microbiome, and surgical injury

Alverdy,

Polcari,

Benjamin

2024

J Trauma Acute Care Surg

View full text Add to dashboard Cite

Post-injury infection continues to plague trauma and emergency surgery patients fortunate enough to survive the initial injury. Rapid response systems, massive transfusion protocols, the development of level 1 trauma centers, etc., have improved the outcome for millions of patients worldwide. Yet despite this excellent initial care, patients still remain vulnerable to post-injury infections that can result in organ failure, prolonged critical illness and even death. While risk factors have been identified (degree of injury, blood loss, time to definitive care, immunocompromise, etc.) they remain probabilistic, not deterministic, and do not explain outcome variability at the individual case level. Here, we assert that analysis of the social determinants of health, as reflected in the patient’s microbiome composition (i.e. community structure, membership) and function (metabolomic output), may offer a “window” with which to define individual variability following traumatic injury. Given emerging knowledge in the field, a more comprehensive evaluation of biomarkers within the patient’s microbiome, from stool-based microbial metabolites to those in plasma and those present in exhaled breath, when coupled with clinical metadata and machine learning, could lead to a more deterministic assessment of an individual’s risk for a poor outcome and those factors that are modifiable. The aim of this piece is to examine how measurable elements of the social determinants of health and the life-history of the patient may be buried within the ecologic memory of the gut microbiome. Here we posit that interrogation of the gut microbiome in this manner may be used to inform novel approaches to drive recovery following a surgical injury.

show abstract

P291. Effects of Sleep on the Gut Microbiota and Metabolome in Patients With Depression and Anxiety: A Prospective Observational Study

Cited by 2 publications

References 0 publications

Medication Use is Associated with Distinct Microbial Features in Anxiety and Depression

Medication Use is Associated with Distinct Microbial Features in Anxiety and Depression

Social determinants of health, the microbiome, and surgical injury

Contact Info

Product

Resources

About