Sleep and physical activity in patients with newly diagnosed bipolar disorder in remission, their first-degree unaffected relatives and healthy controls

Background Brain-derived neurotrophic factor (BDNF), which facilitates neuroplasticity and synaptogenesis, may be decreased in bipolar disorder, but has not been systematically investigated in people with newly diagnosed bipolar disorder and unaffected first-degree relatives. Aims To compare BDNF levels in patients with newly diagnosed bipolar disorder, their unaffected first-degree relatives and healthy controls. Method The study investigated plasma BDNF levels in patients (n = 371) with newly diagnosed bipolar disorder, their unaffected first-degree relatives (n = 98) and healthy controls (n = 200) using enzyme-linked immunosorbent assay. We further investigated associations between BDNF levels and illness-related variables and medication status. Results BDNF levels were found to be 22.0% (95% CI 1.107–1.343) higher in patients with bipolar disorder compared with healthy controls (P < 0.001) and 15.6% higher in unaffected first-degree relatives compared with healthy controls (95% CI 1.007–1.327, P = 0.04), when adjusting for age and gender. Further, BDNF levels were positively associated with duration of illness at a trend level (P = 0.05), age (P = 0.001) and use of anti-epileptic medication (P = 0.05). Conclusions These findings suggest that BDNF levels are not decreased in the early stages of bipolar disorder and in unaffected first-degree relatives contrasting with prior findings during later stages of the illness.

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The association of sleep and physical activity with integrity of white matter microstructure in bipolar disorder patients and healthy controls

Psychiatry Research Neuroimaging ◽

10.1016/j.pscychresns.2017.01.013 ◽

2017 ◽

Vol 262 ◽

pp. 71-80 ◽

Cited By ~ 4

Author(s):

Sanne Verkooijen ◽

Remi Stevelink ◽

Lucija Abramovic ◽

Christiaan H. Vinkers ◽

Roel A. Ophoff ◽

...

Keyword(s):

Physical Activity ◽

Bipolar Disorder ◽

White Matter ◽

Healthy Controls ◽

White Matter Microstructure

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The association between lifetime and recent stressful life events and the early course and psychopathology in patients with newly diagnosed bipolar disorder, first‐degree unaffected relatives and healthy controls. Cross‐sectional results from a prospective study

Bipolar Disorders ◽

10.1111/bdi.13093 ◽

2021 ◽

Author(s):

Stina av Kák Kollsker ◽

Klara Coello ◽

Sharleny Stanislaus ◽

Sigurd Melbye ◽

Hanne Lie Kjærstad ◽

...

Keyword(s):

Bipolar Disorder ◽

Prospective Study ◽

Life Events ◽

Stressful Life Events ◽

Stressful Life ◽

Healthy Controls ◽

Newly Diagnosed ◽

Cross Sectional ◽

Early Course ◽

A Prospective Study

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Automatically Generated Smartphone Data in Young Patients With Newly Diagnosed Bipolar Disorder and Healthy Controls

Frontiers in Psychiatry ◽

10.3389/fpsyt.2021.559954 ◽

2021 ◽

Vol 12 ◽

Author(s):

Sigurd Melbye ◽

Sharleny Stanislaus ◽

Maj Vinberg ◽

Mads Frost ◽

Jakob Eyvind Bardram ◽

...

Keyword(s):

Bipolar Disorder ◽

Rating Scales ◽

Rating Scale ◽

Social Activity ◽

Young Patients ◽

Text Messages ◽

Healthy Controls ◽

Newly Diagnosed ◽

Phone Calls ◽

Clinical Rating

Background: Smartphones may facilitate continuous and fine-grained monitoring of behavioral activities via automatically generated data and could prove to be especially valuable in monitoring illness activity in young patients with bipolar disorder (BD), who often present with rapid changes in mood and related symptoms. The present pilot study in young patients with newly diagnosed BD and healthy controls (HC) aimed to (1) validate automatically generated smartphone data reflecting physical and social activity and phone usage against validated clinical rating scales and questionnaires; (2) investigate differences in automatically generated smartphone data between young patients with newly diagnosed BD and HC; and (3) investigate associations between automatically generated smartphone data and smartphone-based self-monitored mood and activity in young patients with newly diagnosed BD.Methods: A total of 40 young patients with newly diagnosed BD and 21 HC aged 15–25 years provided daily automatically generated smartphone data for 3–779 days [median (IQR) = 140 (11.5–268.5)], in addition to daily smartphone-based self-monitoring of activity and mood. All participants were assessed with clinical rating scales.Results: (1) The number of outgoing phone calls was positively associated with scores on the Young Mania Rating Scale and subitems concerning activity and speech. The number of missed calls (p = 0.015) and the number of outgoing text messages (p = 0.017) were positively associated with the level of psychomotor agitation according to the Hamilton Depression Rating scale subitem 9. (2) Young patients with newly diagnosed BD had a higher number of incoming calls compared with HC (BD: mean = 1.419, 95% CI: 1.162, 1.677; HC: mean = 0.972, 95% CI: 0.637, 1.308; p = 0.043) and lower self-monitored mood and activity (p's < 0.001). (3) Smartphone-based self-monitored mood and activity were positively associated with step counts and the number of outgoing calls, respectively (p's < 0.001).Conclusion: Automatically generated data on physical and social activity and phone usage seem to reflect symptoms. These data differ between young patients with newly diagnosed BD and HC and reflect changes in illness activity in young patients with BD. Automatically generated smartphone-based data could be a useful clinical tool in diagnosing and monitoring illness activity in young patients with BD.

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

10.21203/rs.3.rs-763448/v1 ◽

2021 ◽

Author(s):

Lea Sirignano ◽

Fabian Streit ◽

Josef Frank ◽

Lea Zillich ◽

Stephanie Witt ◽

...

Keyword(s):

Physical Activity ◽

Bipolar Disorder ◽

Major Depressive Disorder ◽

Circadian Rhythm ◽

Mood Disorders ◽

Genetic Correlations ◽

Biological Rhythms ◽

Moderate Activity ◽

Healthy Controls ◽

Major Depressive

Abstract 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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Neuroserpin in Bipolar Disorder

Current Topics in Medicinal Chemistry ◽

10.2174/1568026620666200131125526 ◽

2020 ◽

Vol 20 (7) ◽

pp. 518-523

Author(s):

Rugül Köse Çinar

Keyword(s):

Gene Expression ◽

Bipolar Disorder ◽

Polymerase Chain Reaction Method ◽

Type I ◽

Healthy Controls ◽

Neuroprotective Effects ◽

Expression Levels ◽

Disease States ◽

Cord Injury ◽

System Functioning

Objective: Neuroserpin is a serine protease inhibitor predominantly expressed in the nervous system functioning mainly in neuronal migration and axonal growth. Neuroprotective effects of neuroserpin were shown in animal models of stroke, brain, and spinal cord injury. Postmortem studies confirmed the involvement of neuroserpin in Alzheimer’s disease. Since altered adult neurogenesis was postulated as an aetiological mechanism for bipolar disorder, the possible effect of neuroserpin gene expression in the disorder was evaluated. Methods: Neuroserpin mRNA expression levels were examined in the peripheral blood of bipolar disorder type I manic and euthymic patients and healthy controls using the polymerase chain reaction method. The sample comprised of 60 physically healthy, middle-aged men as participants who had no substance use disorder. Results: The gene expression levels of neuroserpin were found lower in the bipolar disorder patients than the healthy controls (p=0.000). The neuroserpin levels did not differ between mania and euthymia (both 96% down-regulated compared to the controls). Conclusion: Since we detected differences between the patients and the controls, not the disease states, the dysregulation in the neuroserpin gene could be interpreted as a result of the disease itself.

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Clinical and psychosocial stress factors are associated with decline in physical activity over time in children with juvenile idiopathic arthritis

Pediatric Rheumatology ◽

10.1186/s12969-021-00584-4 ◽

2021 ◽

Vol 19 (1) ◽

Author(s):

Liane D. Heale ◽

Kristin M. Houghton ◽

Elham Rezaei ◽

Adam D. G. Baxter-Jones ◽

Susan M. Tupper ◽

...

Keyword(s):

Physical Activity ◽

Juvenile Idiopathic Arthritis ◽

Disease Activity ◽

Psychosocial Stress ◽

Juvenile Arthritis ◽

Stress Factors ◽

Healthy Children ◽

Newly Diagnosed ◽

Z Score ◽

Over Time

Abstract Background Physical activity (PA) patterns in children with juvenile idiopathic arthritis (JIA) over time are not well described. The aim of this study was to describe associations of physical activity (PA) with disease activity, function, pain, and psychosocial stress in the 2 years following diagnosis in an inception cohort of children with juvenile idiopathic arthritis (JIA). Methods In 82 children with newly diagnosed JIA, PA levels, prospectively determined at enrollment, 12 and 24 months using the Physical Activity Questionnaire for Children (PAQ-C) and Adolescents (PAQ-A) raw scores, were evaluated in relation to disease activity as reflected by arthritis activity (Juvenile Arthritis Disease Activity Score (JADAS-71)), function, pain, and psychosocial stresses using a linear mixed model approach. Results in the JIA cohort were compared to normative Pediatric Bone Mineral Accrual Study data derived from healthy children using z-scores. Results At enrollment, PA z-score levels of study participants were lower than those in the normative population (median z-score − 0.356; p = 0.005). At enrollment, PA raw scores were negatively associated with the psychosocial domain of the Juvenile Arthritis Quality of Life Questionnaire (r = − 0.251; p = 0.023). There was a significant decline in PAQ-C/A raw scores from baseline (median and IQR: 2.6, 1.4–3.1) to 24 months (median and IQR: 2.1, 1.4–2.7; p = 0.003). The linear mixed-effect model showed that PAQ-C/A raw scores in children with JIA decreased as age, disease duration, and ESR increased. The PAQ-C/A raw scores of the participants was also negatively influenced by an increase in disease activity as measured by the JADAS-71 (p < 0.001). Conclusion Canadian children with newly diagnosed JIA have lower PA levels than healthy children. The decline in PA levels over time was associated with disease activity and higher disease-specific psychosocial stress.

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The role of serum β-trophin and endostatin in patients with polycystic ovary syndrome: Are they correlated?

BMC Women s Health ◽

10.1186/s12905-021-01198-4 ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Wei Gong ◽

Aikmu Bilixzi ◽

Xinmei Wang ◽

Yanli Lu ◽

Li Wan ◽

...

Keyword(s):

Polycystic Ovary Syndrome ◽

Influencing Factors ◽

Polycystic Ovary ◽

Pearson Correlation ◽

Healthy Controls ◽

Newly Diagnosed ◽

Ovary Syndrome ◽

Factors Affecting ◽

Main Factors

Abstract Background It’s necessary to investigate the serum β-trophin and endostatin (ES) level and its influencing factors in patients with newly diagnosed polycystic ovary syndrome (PCOS). Methods Newly diagnosed PCOS patients treated in our hospital were selected, and healthy women who took physical examination during the same period as healthy controls. We detected and compared the related serum indicators between two groups, Pearson correlation were conducted to identify the factors associated with β-trophin and ES, and the influencing factors of β-trophin and ES were analyzed by logistic regression. Results A total of 62 PCOS patients and 65 healthy controls were included. The BMI, WHI, LH, FSH, TT, FAI, FBG, FINS, HOMA-IR, TC, TG, LDL, ES in PCOS patients were significantly higher than that of healthy controls, while the SHBG and HDL in PCOS patients were significantly lower than that of healthy controls (all p < 0.05). β-trophin was closely associated with BMI (r = 0.427), WHR (r = 0.504), FBG (r = 0.385), TG (r = 0.405) and LDL (r = 0.302, all p < 0.05), and ES was closely associated with BMI (r = 0.358), WHR (r = 0.421), FBG (r = 0.343), TC (r = 0.319), TG (r = 0.404, all p < 0.05). TG, BMI, WHR and FBG were the main factors affecting the serum β-trophin levels (all p < 0.05). FBG, TC and BMI were the main factors affecting the serum ES levels (all p < 0.05). The TG, β-trophin, ES level in PCOS patients with insulin resistance (IR) were significantly higher than that of those without IR (all p < 0.05). Conclusion Increased β-trophin is closely associated with increased ES in patients with PCOS, which may be the useful indicators for the management of PCOS.

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Physical Activity and Quality of Life in Hemodialysis Patients and Healthy Controls: A Cross-Sectional Study

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph18041978 ◽

2021 ◽

Vol 18 (4) ◽

pp. 1978

Author(s):

Tjaša Filipčič ◽

Špela Bogataj ◽

Jernej Pajek ◽

Maja Pajek

Keyword(s):

Quality Of Life ◽

Physical Activity ◽

Everyday Life ◽

Habitual Physical Activity ◽

Healthy Controls ◽

Age And Gender ◽

Comorbidity Score ◽

Sf 36 ◽

And Gender

Hemodialysis (HD) patients have lower functional abilities compared to healthy people, and this is associated with lower physical activity in everyday life. This may affect their quality of life, but research on this topic is limited. Therefore, the present study aimed to determine the relationship between habitual physical activity and quality of life in HD patients and healthy controls. Ninety-three HD patients and 140 controls participated in the study. Quality of life was assessed using a 36-item medical outcomes study short-form health survey (SF-36). Human Activity Profile (HAP) was used to assess habitual physical activity. The adjusted activity score (AAS) from HAP, age, gender, fat tissue index (FTI), lean tissue index (LTI), and Davies comorbidity score were analyzed as possible predictors of the Physical Component Summary (PCS) of the SF-36. Three sequential linear models were used to model PCS. In Model 1, PCS was regressed by gender and age; in Model 2 the LTI, FTI, and Davies comorbidity scores were added. Model 3 also included AAS. After controlling for age and gender (ModelHD 1: p = 0.056), LTI, FTI, and Davies comorbidity score effects (ModelHD 2: p = 0.181), the AAS accounted for 32% of the variation in PCS of HD patients (ModelHD 3: p < 0.001). Consequently, the PCS of HD patients would increase by 0.431 points if the AAS increased by one point. However, in healthy controls, AAS had a lower impact than in the HD sample (B = 0.359 vs. 0.431), while the corresponding effects of age and gender (ModelH 1: p < 0.001), LTI, FTI, and Davies comorbidity score (ModelH 2: p < 0.001) were adjusted for. The proportion of variation in PCS attributed to AAS was 14.9% (ModelH 3: p < 0.001). The current study results showed that physical activity in everyday life as measured by the HAP questionnaire is associated to a higher degree with the quality of life of HD patients than in healthy subjects. Routine physical activity programs are therefore highly justified, and the nephrology community should play a leading role in this effort.

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