The microbiota-gut-brain axis plays a critical role in the pathogenesis of major depressive disorder (MDD) and related subclinical symptoms. However, studies on the gut microbiota in MDD are inconsistent, and data on MDD's effects on sleep are lacking. This study aimed to analyze the gut microbiota composition and sleep quality of patients with MDD. We performed 16S rRNA sequencing of stool samples from 36 patients with MDD and 45 healthy controls (HC). Sleep quality was assessed using the Pittsburgh Sleep Quality Index, depressive severity with the Hamilton Depression Scale, and insomnia severity using the Insomnia Severity Index. Forty-eight microbiota targets showed significant differences between MDD and HC. In MDD, six microbiota targets were associated with the severity of depression, 11 with sleep quality, and 3 with sleep severity. At the genus level, was simultaneously related to depression and sleep quality, while was more closely related to sleep problems. and were associated with sleep quality independent of the severity of depression. In conclusion, the present findings enable a better understanding of the relationship between gut microbiota and MDD-related symptoms. Gut microbiota alterations may become potential biomarkers and/or treatment targets for sleep quality in MDD.
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http://dx.doi.org/10.3389/fpsyt.2021.645045 | DOI Listing |
JMIR Cancer
January 2025
Kulliyah of Nursing, International Islamic University Malaysia, Selangor, Malaysia.
Background: Many cancer survivors experience a wide range of symptoms closely linked to psychological problems, highlighting the need for psychological treatment, one of the most popular being mindfulness. The use of the internet has greatly increased in the last decade, and has encouraged the use of remote-based interventions to help people living with cancer access treatment remotely via devices.
Objective: The primary aim of this study was to explore the efficacy of internet-based mindfulness interventions on the physical symptoms of people living with cancer, where physical symptoms are defined as distressing somatic experiences (eg fatigue, insomnia, and pain) regardless of the underlying cause.
Itching tends to worsen at night in patients with itchy skin diseases, such as atopic dermatitis. Unconscious scratching during sleep can exacerbate symptoms, cause sleep disturbances, or reduce quality of life. Therefore, evaluating nocturnal scratching behaviour is important for better patient care.
View Article and Find Full Text PDFJ Prev Alzheimers Dis
February 2025
Department of Epidemiology and Data Science, Amsterdam UMC, VU University Medical Center, Amsterdam Public Health Research Institute, De Boelelaan 1118, Amsterdam 1081 HZ, The Netherlands.
Background: Few studies have addressed the association of sleep disturbances with incident dementia with long lag times. We add to this literature by investigating how lag times varying from 2.2 to 23.
View Article and Find Full Text PDFJ Affect Disord
January 2025
Department for Clinical Psychology and Psychotherapy, University of Freiburg, Germany. Electronic address:
Background: Increased emotional reactivity to stress, emotional dysregulation and sleep disturbances are interdependent trans-diagnostic processes that are present in internalising disorders such as depression and anxiety disorders. This study investigated which objective and subjective parameters of stress reactivity, sleep and emotional processing would predict symptoms of anxiety and depression in adolescents and young adults.
Methods: Participants were adolescents and young adults between the ages of 14 to 21 (N = 106, 25[24 %] male, M age = 17.
Environ Res
January 2025
Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway.
Background: Air pollution has been linked to respiratory diseases, while the effects of greenness remain inconclusive.
Objective: We investigated the associations between exposure to particulate matter (PM and PM), black carbon (BC), nitrogen dioxide (NO), ozone (O), and greenness (normalized difference vegetation index, NDVI) with respiratory emergency room visits and hospitalizations across seven Northern European centers in the European Community Respiratory Health Survey (ECRHS) study.
Methods: We used modified mixed-effects Poisson regression to analyze associations of exposure in 1990, 2000 and mean exposure 1990-2000 with respiratory outcomes recorded duing ECRHS phases II and III.
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