The causal relationships of device-measured physical activity with bipolar disorder and schizophrenia in adults: A 2-Sample mendelian randomization study

Sun, He-Li; Gao, Xue; Que, Ximei; Liu, Long; Ma, Jinsha; He, Simin; Gao, Qian; Wang, Tong

doi:10.1016/j.jad.2019.11.034

Cited by 20 publications

(16 citation statements)

References 47 publications

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“…The positive genetic correlation of BIP-I and BIP-II with moderate activity and the negative correlation of BIP-I with sedentary behavior are in line with ndings showing a positive genetic correlation of BIP (without speci cation of subtypes) with moderate activity and walking [33] based on a previous BIP GWAS [44]. A Mendelian Randomization study investigating the causal relationship between physical activity and BIP, found that a increase in physical activity is associated with decreased liability to developing BIP [45]. The observed genetic correlation of BIP-I and BIP-II with increased activity, may re ect the genetic factors underlying the respective manic and hypomanic features [7,10].…”

Section: Discussionsupporting

confidence: 83%

Major Depressive Disorder and Bipolar Disorder Subtypes Differ in their Genetic Correlations with Physical Activity, Circadian Rhythm, and Sleep

Sirignano

Streit

Frank³

et al. 2021

Preprint

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Alterations in biological rhythms are features of mood disorders. Patients suffering from major depressive disorder (MDD) show decreased physical activity compared to healthy controls. Bipolar disorder (BIP) patients differ in their activity patterns during different mood phases, and in comparison to their non-affected relatives and healthy controls. In both MDD and BIP, circadian rhythms can be disrupted, accompanied by sleep problems and changes in sleep duration. It is unclear whether the observed associations are due to common etiology or if they are influenced by the current mood state in which they are observed. Here, we used summary statistics from large-scale genome-wide association analysis (GWAS) to test the genetic correlations of MDD, BIP-I, and BIP-II with physical activity (overall physical activity, moderate activity, sedentary behavior), circadian rhythm (relative amplitude) and sleep features (sleep duration, daytime sleepiness). MDD showed positive genetic correlations with sedentary behavior, and negative correlations with overall physical activity and moderate activity, while BIP-I showed associations in the opposite direction. MDD and BIP-II had negative genetic correlations with relative amplitude. All mood disorders were positively genetically correlated with daytime sleepiness. The correlational patterns show that MDD and BIP-I differ the most in their correlations with biological rhythms with BIP-II seemingly occupying a intermediate position. Furthermore, our results suggest that the clinically observed associations between mood disorders and biological rhythms have shared genetic underpinnings. Future research considering possible joint mechanisms may offer potential avenues for improving disease detection and treatment.

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Section: Discussionsupporting

confidence: 83%

Major Depressive Disorder and Bipolar Disorder Subtypes Differ in their Genetic Correlations with Physical Activity, Circadian Rhythm, and Sleep

Sirignano

Streit

Frank³

et al. 2021

Preprint

View full text Add to dashboard Cite

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“…However, in the two studies (N=10,583) that adjusted for confounding factors, overall reductions in psychosis incidence from physical activity were non-significant (OR=0.59, 95% CI: 0.253-1.383, I 2 =54.7%) (see Table 1). The risk of schizophrenia and bipolar disorder in relation to overall physical activity, moderate-intensity activity, and sedentary time was examined in one MR study 39 , using SNPs associated with device-measured physical activity over 72 hours along with Stahl et al's 40 and Ruderfer et al's 41 GWAS. There was no strong evidence of causal relations with schizophrenia.…”

Section: Physical Activity and Risk Of Psychotic And Bipolar Disordersmentioning

confidence: 99%

“…Three MR studies assessed the causal role of sleep-related variables on risk for mental illness. Two of these were from the aforementioned two-sample MR studies of physical activity, which also measured sleep time using self-reported 34 and objective 39 measures. There was no evidence for causal associations between hours of sleep with depression, schizophrenia or bipolar disorder.…”

Section: Sleeping Patterns and Risk Of Mental Disordersmentioning

confidence: 99%

A meta‐review of “lifestyle psychiatry”: the role of exercise, smoking, diet and sleep in the prevention and treatment of mental disorders

et al. 2020

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There is increasing academic and clinical interest in how “lifestyle factors” traditionally associated with physical health may also relate to mental health and psychological well‐being. In response, international and national health bodies are producing guidelines to address health behaviors in the prevention and treatment of mental illness. However, the current evidence for the causal role of lifestyle factors in the onset and prognosis of mental disorders is unclear. We performed a systematic meta‐review of the top‐tier evidence examining how physical activity, sleep, dietary patterns and tobacco smoking impact on the risk and treatment outcomes across a range of mental disorders. Results from 29 meta‐analyses of prospective/cohort studies, 12 Mendelian randomization studies, two meta‐reviews, and two meta‐analyses of randomized controlled trials were synthesized to generate overviews of the evidence for targeting each of the specific lifestyle factors in the prevention and treatment of depression, anxiety and stress‐related disorders, schizophrenia, bipolar disorder, and attention‐deficit/hyperactivity disorder. Standout findings include: a) convergent evidence indicating the use of physical activity in primary prevention and clinical treatment across a spectrum of mental disorders; b) emerging evidence implicating tobacco smoking as a causal factor in onset of both common and severe mental illness; c) the need to clearly establish causal relations between dietary patterns and risk of mental illness, and how diet should be best addressed within mental health care; and d) poor sleep as a risk factor for mental illness, although with further research required to understand the complex, bidirectional relations and the benefits of non‐pharmacological sleep‐focused interventions. The potentially shared neurobiological pathways between multiple lifestyle factors and mental health are discussed, along with directions for future research, and recommendations for the implementation of these findings at public health and clinical service levels.

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“…It prevents multi-system chronic diseases, reduces anxiety, improves cognitive function, and overall quality of life 1 , 2 . Recent studies applying mendelian randomization have also established the causal benefit of exercise in the prevention of depression 3 , bipolar disorder 4 and breast and colorectal cancer 5 , while no effect was observed for Parkinson’s disease 6 or schizophrenia 4 . Both acute effects and long-term adaptation have been studied in response to endurance (repeated contractions of low force) and resistance (fewer contractions of greater force) exercise in humans, where skeletal muscle and blood are the most accessible and well-studied tissues.…”

Section: Introductionmentioning

confidence: 99%

Time trajectories in the transcriptomic response to exercise - a meta-analysis

et al. 2021

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Exercise training prevents multiple diseases, yet the molecular mechanisms that drive exercise adaptation are incompletely understood. To address this, we create a computational framework comprising data from skeletal muscle or blood from 43 studies, including 739 individuals before and after exercise or training. Using linear mixed effects meta-regression, we detect specific time patterns and regulatory modulators of the exercise response. Acute and long-term responses are transcriptionally distinct and we identify SMAD3 as a central regulator of the exercise response. Exercise induces a more pronounced inflammatory response in skeletal muscle of older individuals and our models reveal multiple sex-associated responses. We validate seven of our top genes in a separate human cohort. In this work, we provide a powerful resource (www.extrameta.org) that expands the transcriptional landscape of exercise adaptation by extending previously known responses and their regulatory networks, and identifying novel modality-, time-, age-, and sex-associated changes.

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The causal relationships of device-measured physical activity with bipolar disorder and schizophrenia in adults: A 2-Sample mendelian randomization study

Cited by 20 publications

References 47 publications

Major Depressive Disorder and Bipolar Disorder Subtypes Differ in their Genetic Correlations with Physical Activity, Circadian Rhythm, and Sleep

Major Depressive Disorder and Bipolar Disorder Subtypes Differ in their Genetic Correlations with Physical Activity, Circadian Rhythm, and Sleep

A meta‐review of “lifestyle psychiatry”: the role of exercise, smoking, diet and sleep in the prevention and treatment of mental disorders

Time trajectories in the transcriptomic response to exercise - a meta-analysis

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