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Arya V, Munasinghe S, Sperandei S, Marjanovic S, Conroy E, Freebairn L, Page A. Psychological distress and trajectories of sleep duration among Australian adolescents: a prospective cohort study. BMJ Open 2024; 14:e080665. [PMID: 39362690 DOI: 10.1136/bmjopen-2023-080665] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/05/2024] Open
Abstract
OBJECTIVES This study investigated the association between indicators of psychological distress and well-being and trajectories of sleep duration among a cohort of Australian adolescents. DESIGN A prospective cohort of adolescents was followed over 27 weeks (8 November 2019-14 May 2020). Data on sleep duration and psychological distress were collected via smartphones, based on ecological momentary assessments. SETTING Sydney population catchment, Australia. PARTICIPANTS Young people aged 13-19 years were recruited via social media (Instagram or Facebook). PRIMARY OUTCOME MEASURE Self-reported sleep duration in the past 24 hours. Sleep duration was dichotomised into 'less than 8 hours' and 'at least 8 hours', to represent those participants not meeting the recommended minimum amount of daily sleep. RESULTS Participants with high psychological distress had higher odds of sleeping less than 8 hours (OR 1.51 (95% CI 1.17 to 1.96)), compared with those with low psychological distress. Social media use (OR 1.34 (95% CI 1.01 to 1.79)) and longer periods spent on homework (OR 1.37, (95% CI 1.07 to 1.75)) were also associated with a sleep duration of less than 8 hours. Also, decreasing sleep trajectories were associated with increased psychological distress (β=0.069, (95% CI -0.010 to 0.149)) and increased homework hours (β=0.078 (95% CI 0.036 to 0.120)). CONCLUSION Findings highlight the adverse impact of psychological distress and high levels of social media use on sleep duration among adolescents. Longitudinal studies with longer follow-up periods are warranted to further explore the temporal associations between sleep duration and different health outcomes among varying populations.
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Affiliation(s)
- Vikas Arya
- Centre for Mental Health and Community Wellbeing, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia
| | - Sithum Munasinghe
- Translational Health Research Institute, Western Sydney University, Penrith, New South Wales, Australia
| | - Sandro Sperandei
- Translational Health Research Institute, Western Sydney University, Penrith, New South Wales, Australia
| | - Sandra Marjanovic
- Translational Health Research Institute, Western Sydney University, Penrith, New South Wales, Australia
| | - Elizabeth Conroy
- Translational Health Research Institute, Western Sydney University, Penrith, New South Wales, Australia
| | - Louise Freebairn
- Sax Institute, Haymarket, New South Wales, Australia
- University of Sydney, Camperdown, New South Wales, Australia
| | - Andrew Page
- Translational Health Research Institute, Western Sydney University, Penrith, New South Wales, Australia
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Shin M, Crouse JJ, Byrne EM, Mitchell BL, Lind P, Parker R, Tonini E, Carpenter JS, Wray NR, Colodro-Conde L, Medland SE, Hickie IB. Changes in sleep patterns in people with a history of depression during the COVID-19 pandemic: a natural experiment. BMJ MENTAL HEALTH 2024; 27:e301067. [PMID: 39362788 DOI: 10.1136/bmjment-2024-301067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/08/2024] [Accepted: 09/13/2024] [Indexed: 10/05/2024]
Abstract
BACKGROUND The COVID-19 pandemic, while a major stressor, increased flexibility in sleep-wake schedules. OBJECTIVES To investigate the impact of the pandemic on sleep patterns in people with a history of depression and identify sociodemographic, clinical or genetic predictors of those impacts. METHODS 6453 adults from the Australian Genetics of Depression Study (45±15 years; 75% women) completed surveys before (2016-2018) and during the pandemic (2020-2021). Participants were assigned to 'short sleep' (<6 hours), 'optimal sleep' (6-8 hours) or 'long sleep' (>8 hours). We focused on those having prepandemic 'optimal sleep'. FINDINGS Pre pandemic, the majority (70%, n=4514) reported optimal sleep, decreasing to 49% (n=3189) during the pandemic. Of these, 57% maintained optimal sleep, while 16% (n=725) shifted to 'short sleep' and 27% (n=1225) to 'long sleep'. In group comparisons 'optimal-to-short sleep' group had worse prepandemic mental health and increased insomnia (p's<0.001), along with an elevated depression genetic score (p=0.002). The 'optimal-to-long sleep' group were slightly younger and had higher distress (p's<0.05), a greater propensity to being evening types (p<0.001) and an elevated depression genetic score (p=0.04). Multivariate predictors for 'optimal-to-short sleep' included reported stressful life events, psychological or somatic distress and insomnia severity (false discovery rate-corrected p values<0.004), while no significant predictors were identified for 'optimal-to-long sleep'. CONCLUSION AND IMPLICATIONS The COVID-19 pandemic, a natural experiment, elicited significant shifts in sleep patterns among people with a history of depression, revealing associations with diverse prepandemic demographic and clinical characteristics. Understanding these dynamics may inform the selection of interventions for people with depression facing major challenges.
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Affiliation(s)
- Mirim Shin
- The University of Sydney Brain and Mind Centre, Camperdown, New South Wales, Australia
| | - Jacob J Crouse
- The University of Sydney Brain and Mind Centre, Camperdown, New South Wales, Australia
| | - Enda M Byrne
- The University of Queensland Child Health Research Centre, South Brisbane, Queensland, Australia
| | | | - Penelope Lind
- QIMR Berghofer Medical Research Institute, Herston, Queensland, Australia
- Queensland University of Technology, School of Biomedical Sciences, Kelvin Grove, Queensland, Australia
- University of Queensland, School of Biomedical Sciences, St Lucia, Queensland, Australia
| | - Richard Parker
- QIMR Berghofer Medical Research Institute, Herston, Queensland, Australia
| | - Emiliana Tonini
- The University of Sydney Brain and Mind Centre, Camperdown, New South Wales, Australia
| | - Joanne S Carpenter
- The University of Sydney Brain and Mind Centre, Camperdown, New South Wales, Australia
| | - Naomi R Wray
- The University of Queensland Institute for Molecular Bioscience, Saint Lucia, Queensland, Australia
- University of Oxford Department of Psychiatry, Oxford, UK
| | - Lucia Colodro-Conde
- QIMR Berghofer Medical Research Institute, Herston, Queensland, Australia
- The University of Queensland School of Psychology, Saint Lucia, Queensland, Australia
| | - Sarah E Medland
- QIMR Berghofer Medical Research Institute, Herston, Queensland, Australia
- The University of Queensland School of Psychology, Saint Lucia, Queensland, Australia
| | - Ian B Hickie
- The University of Sydney Brain and Mind Centre, Camperdown, New South Wales, Australia
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Santamarina AB, Nehmi Filho V, Freitas JAD, Silva BFRBD, Gusmão AF, Olivieri EHR, Souza ED, Silva SLD, Miranda DAD, Demarque DP, Oliveira EDS, Otoch JP, Pessoa AFM. Nutraceutical composition (yeast β-glucan, prebiotics, minerals, and silymarin) predicts improvement of sleep quality and metabolic parameters: A randomized pilot study. Clin Nutr ESPEN 2024; 63:476-490. [PMID: 39012843 DOI: 10.1016/j.clnesp.2024.06.033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2024] [Revised: 06/05/2024] [Accepted: 06/20/2024] [Indexed: 07/18/2024]
Abstract
BACKGROUND & AIMS The search for integrative and natural therapies that favor homeostasis to boost sleep and diet quality took place for young adult populations as a non-pharmacological strategy for long-term good quality of life. Thus, the present pilot study aims to investigate the effects of 90-day consumption of a nutraceutical composition on the neuro-immune-endocrine axis, providing better sleep quality and health improvement. METHODS For this, from March 2021 to June 2021, twenty-two Brazilian young adult volunteers (women and men) with BMI between 18.5 and 34.9 kg/m2 were divided into three distinct supplementation groups: NSupple; NSupple plus_S, and NSupple plus. Briefly, the supplement compositions included yeast β-glucan, prebiotics, and minerals in different concentrations associated or not with the herbal medicine silymarin. Neither nutritional nor physical activity interventions were performed during this pilot study period. The anthropometrics measures, questionnaires answer data, and harvest blood for metabolic, inflammatory, and hormonal tests were collected at baseline time (day zero-T0) and day 90 (T90) post-supplementation. RESULTS Our results highlight that the supplementation reduced body mass index (BMI), Waist-to-height ratio (WHtR), waist circumference, AST/ALT ratio, alkaline phosphatase, and HbA1c. Post-supplementation the IL-6 and IL-10 levels and the sleep, humor, and quality of life scores were suggested to improve. Sleep quality improvement seems to predict the reduction of adiposity-related body measures. CONCLUSION In sum, the nutraceutical supplementation might be related to anthropometric, metabolic, and endocrine parameters after 90 days reflecting on perception of humor, sleep, and life quality enhancement. However, it is important to recognize the limitation of the data presented considering that this was a pilot study. CLINICAL TRIAL REGISTRATION ClinicalTrials.gov, identifier NCT04810572 registered on 20th February 2021.
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Affiliation(s)
- Aline Boveto Santamarina
- Laboratório de Produtos e Derivados Naturais, Laboratório de Investigação Médica-26 (LIM-26), Departamento de Cirurgia, Faculdade de Medicina da Universidade de São Paulo, São Paulo, SP 01246903, Brazil; Pesquisa e Desenvolvimento Efeom Nutrição S/A, São Paulo, SP 03317-000, Brazil; Departamento de Biociências, Universidade Federal de São Paulo (UNIFESP), Santos, SP 11015-020, Brazil.
| | - Victor Nehmi Filho
- Laboratório de Produtos e Derivados Naturais, Laboratório de Investigação Médica-26 (LIM-26), Departamento de Cirurgia, Faculdade de Medicina da Universidade de São Paulo, São Paulo, SP 01246903, Brazil; Pesquisa e Desenvolvimento Efeom Nutrição S/A, São Paulo, SP 03317-000, Brazil
| | - Jéssica Alves de Freitas
- Laboratório de Produtos e Derivados Naturais, Laboratório de Investigação Médica-26 (LIM-26), Departamento de Cirurgia, Faculdade de Medicina da Universidade de São Paulo, São Paulo, SP 01246903, Brazil; Pesquisa e Desenvolvimento Efeom Nutrição S/A, São Paulo, SP 03317-000, Brazil
| | - Bruna Fernanda Rio Branco da Silva
- Laboratório de Produtos e Derivados Naturais, Laboratório de Investigação Médica-26 (LIM-26), Departamento de Cirurgia, Faculdade de Medicina da Universidade de São Paulo, São Paulo, SP 01246903, Brazil; Laboratório Interdisciplinar em Fisiologia e Exercício, Universidade Federal de São Paulo (UNIFESP), Santos, SP 11015-020, Brazil
| | - Arianne Fagotti Gusmão
- International Research Center, A.C. Camargo Cancer Center, São Paulo, SP 01508-010, Brazil
| | | | | | | | - Danielle Araújo de Miranda
- Departamento de Fisiologia, Escola Paulista de Medicina/Universidade Federal de São Paulo, São Paulo, SP 04023062, Brazil
| | - Daniel Pecoraro Demarque
- Laboratório de Farmacognosia, Faculdade de Ciências Farmacêuticas, Universidade de São Paulo, São Paulo, SP, Brazil
| | - Eduarda Dos Santos Oliveira
- Laboratório de Farmacognosia, Faculdade de Ciências Farmacêuticas, Universidade de São Paulo, São Paulo, SP, Brazil
| | - José Pinhata Otoch
- Laboratório de Produtos e Derivados Naturais, Laboratório de Investigação Médica-26 (LIM-26), Departamento de Cirurgia, Faculdade de Medicina da Universidade de São Paulo, São Paulo, SP 01246903, Brazil; Pesquisa e Desenvolvimento Efeom Nutrição S/A, São Paulo, SP 03317-000, Brazil; Hospital Universitário da Universidade de São Paulo, Faculdade de Medicina da Universidade de São Paulo, São Paulo, SP 05508-000, Brazil
| | - Ana Flávia Marçal Pessoa
- Laboratório de Produtos e Derivados Naturais, Laboratório de Investigação Médica-26 (LIM-26), Departamento de Cirurgia, Faculdade de Medicina da Universidade de São Paulo, São Paulo, SP 01246903, Brazil; Pesquisa e Desenvolvimento Efeom Nutrição S/A, São Paulo, SP 03317-000, Brazil
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Pelizza L, Leuci E, Quattrone E, Azzali S, Pupo S, Paulillo G, Pellegrini P, Menchetti M. Rates and predictors of service disengagement in first episode psychosis: Results from a 2-year follow-up study in an Italian real-world care setting. Schizophr Res 2024; 274:142-149. [PMID: 39293252 DOI: 10.1016/j.schres.2024.09.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Revised: 09/06/2024] [Accepted: 09/09/2024] [Indexed: 09/20/2024]
Abstract
AIM Service disengagement is a major problem for "Early Intervention in Psychosis" (EIP). Understanding predictors of engagement is also crucial to increase effectiveness of mental health treatments, especially in young people with First Episode Psychosis (FEP). No Italian investigation on this topic has been reported in the literature to date. The goal of this research was to assess service disengagement rate and predictors in an Italian sample of FEP subjects treated within an EIP program across a 2-year follow-up period. METHODS All patients were young FEP help-seekers, aged 12-35 years, recruited within the "Parma Early Psychosis" (Pr-EP) program. At baseline, they completed the Positive And Negative Syndrome Scale (PANSS) and the Global Assessment of Functioning (GAF) scale. Univariate and multivariate Cox regression analyses were carried out. RESULTS 489 FEP subjects were enrolled in this study. Across the follow-up, a 26 % prevalence rate of service disengagement was found. Particularly strong predictors of disengagement were living with parents, poor treatment adherence at entry and a low baseline PANSS "Disorganization" factor score. CONCLUSION More than a quarter of our FEP individuals disengaged the Pr-EP program during the first 2 years of intervention. A possible solution to reduce disengagement and to facilitate re-engagement of these young patients might be to offer the option of low-intensity monitoring and support, also via remote technology and tele-mental health care.
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Affiliation(s)
- Lorenzo Pelizza
- Department of Biomedical and Neuromotor Sciences, Alma Mater Studiorum Università di Bologna, viale Pepoli 5, 40123 Bologna, BO, Italy; Department of Mental Health and Pathological Addictions, Azienda USL di Parma, largo Palli 1/a, 43100 Parma, PR, Italy.
| | - Emanuela Leuci
- Department of Mental Health and Pathological Addictions, Azienda USL di Parma, largo Palli 1/a, 43100 Parma, PR, Italy
| | - Emanuela Quattrone
- Department of Mental Health and Pathological Addictions, Azienda USL di Parma, largo Palli 1/a, 43100 Parma, PR, Italy
| | - Silvia Azzali
- Department of Mental Health and Pathological Addictions, Azienda USL-IRCCS di Reggio Emilia, viale Amendola 2, 42100 Reggio Emilia, RE, Italy
| | - Simona Pupo
- Pain Therapy Service, Department of Medicine and Surgery, Azienda Ospedaliero-Universitaria di Parma, viale Gramsci 14, 43100 Parma, PR, Italy
| | - Giuseppina Paulillo
- Department of Mental Health and Pathological Addictions, Azienda USL di Parma, largo Palli 1/a, 43100 Parma, PR, Italy
| | - Pietro Pellegrini
- Department of Mental Health and Pathological Addictions, Azienda USL di Parma, largo Palli 1/a, 43100 Parma, PR, Italy
| | - Marco Menchetti
- Department of Biomedical and Neuromotor Sciences, Alma Mater Studiorum Università di Bologna, viale Pepoli 5, 40123 Bologna, BO, Italy
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Krsek A, Ostojic L, Zivalj D, Baticic L. Navigating the Neuroimmunomodulation Frontier: Pioneering Approaches and Promising Horizons-A Comprehensive Review. Int J Mol Sci 2024; 25:9695. [PMID: 39273641 PMCID: PMC11396210 DOI: 10.3390/ijms25179695] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2024] [Revised: 08/30/2024] [Accepted: 09/03/2024] [Indexed: 09/15/2024] Open
Abstract
The research in neuroimmunomodulation aims to shed light on the complex relationships that exist between the immune and neurological systems and how they affect the human body. This multidisciplinary field focuses on the way immune responses are influenced by brain activity and how neural function is impacted by immunological signaling. This provides important insights into a range of medical disorders. Targeting both brain and immunological pathways, neuroimmunomodulatory approaches are used in clinical pain management to address chronic pain. Pharmacological therapies aim to modulate neuroimmune interactions and reduce inflammation. Furthermore, bioelectronic techniques like vagus nerve stimulation offer non-invasive control of these systems, while neuromodulation techniques like transcranial magnetic stimulation modify immunological and neuronal responses to reduce pain. Within the context of aging, neuroimmunomodulation analyzes the ways in which immunological and neurological alterations brought on by aging contribute to cognitive decline and neurodegenerative illnesses. Restoring neuroimmune homeostasis through strategies shows promise in reducing age-related cognitive decline. Research into mood disorders focuses on how immunological dysregulation relates to illnesses including anxiety and depression. Immune system fluctuations are increasingly recognized for their impact on brain function, leading to novel treatments that target these interactions. This review emphasizes how interdisciplinary cooperation and continuous research are necessary to better understand the complex relationship between the neurological and immune systems.
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Affiliation(s)
- Antea Krsek
- Faculty of Medicine, University of Rijeka, 51000 Rijeka, Croatia
| | - Leona Ostojic
- Faculty of Medicine, University of Rijeka, 51000 Rijeka, Croatia
| | - Dorotea Zivalj
- Faculty of Medicine, University of Rijeka, 51000 Rijeka, Croatia
| | - Lara Baticic
- Department of Medical Chemistry, Biochemistry and Clinical Chemistry, Faculty of Medicine, University of Rijeka, 51000 Rijeka, Croatia
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Crouse JJ, Park SH, Byrne EM, Mitchell BL, Scott J, Medland SE, Lin T, Wray NR, Martin NG, Hickie IB. Patterns of stressful life events and polygenic scores for five mental disorders and neuroticism among adults with depression. Mol Psychiatry 2024; 29:2765-2773. [PMID: 38575805 PMCID: PMC11420070 DOI: 10.1038/s41380-024-02492-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Revised: 02/08/2024] [Accepted: 02/20/2024] [Indexed: 04/06/2024]
Abstract
The dominant ('general') version of the diathesis-stress theory of depression views stressors and genetic vulnerability as independent risks. In the Australian Genetics of Depression Study (N = 14,146; 75% female), we tested whether polygenic scores (PGS) for major depression, bipolar disorder, schizophrenia, anxiety, ADHD, and neuroticism were associated with reported exposure to 32 childhood, past-year, lifetime, and accumulated stressful life events (SLEs). In false discovery rate-corrected models, the clearest PGS-SLE relationships were for the ADHD- and depression-PGSs, and to a lesser extent, the anxiety- and schizophrenia-PGSs. We describe the associations for childhood and accumulated SLEs, and the 2-3 strongest past-year/lifetime SLE associations. Higher ADHD-PGS was associated with all childhood SLEs (emotional abuse, emotional neglect, physical neglect; ORs = 1.09-1.14; p's < 1.3 × 10-5), more accumulated SLEs, and reported exposure to sudden violent death (OR = 1.23; p = 3.6 × 10-5), legal troubles (OR = 1.15; p = 0.003), and sudden accidental death (OR = 1.14; p = 0.006). Higher depression-PGS was associated with all childhood SLEs (ORs = 1.07-1.12; p's < 0.013), more accumulated SLEs, and severe human suffering (OR = 1.17; p = 0.003), assault with a weapon (OR = 1.12; p = 0.003), and living in unpleasant surroundings (OR = 1.11; p = 0.001). Higher anxiety-PGS was associated with childhood emotional abuse (OR = 1.08; p = 1.6 × 10-4), more accumulated SLEs, and serious accident (OR = 1.23; p = 0.004), physical assault (OR = 1.08; p = 2.2 × 10-4), and transportation accident (OR = 1.07; p = 0.001). Higher schizophrenia-PGS was associated with all childhood SLEs (ORs = 1.12-1.19; p's < 9.3-8), more accumulated SLEs, and severe human suffering (OR = 1.16; p = 0.003). Higher neuroticism-PGS was associated with living in unpleasant surroundings (OR = 1.09; p = 0.007) and major financial troubles (OR = 1.06; p = 0.014). A reversed pattern was seen for the bipolar-PGS, with lower odds of reported physical assault (OR = 0.95; p = 0.014), major financial troubles (OR = 0.93; p = 0.004), and living in unpleasant surroundings (OR = 0.92; p = 0.007). Genetic risk for several mental disorders influences reported exposure to SLEs among adults with moderately severe, recurrent depression. Our findings emphasise that stressors and diatheses are inter-dependent and challenge diagnosis and subtyping (e.g., reactive/endogenous) based on life events.
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Affiliation(s)
- Jacob J Crouse
- Brain and Mind Centre, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
| | - Shin Ho Park
- Brain and Mind Centre, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
| | - Enda M Byrne
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia
- Child Health Research Centre, The University of Queensland, Brisbane, QLD, Australia
| | - Brittany L Mitchell
- Mental Health and Neuroscience Program, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Jan Scott
- Brain and Mind Centre, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
- Academic Psychiatry, Institute of Neuroscience, Newcastle University, Newcastle, UK
- Norwegian University of Science and Technology, Trondheim, Norway
- Université de Paris, Paris, France
| | - Sarah E Medland
- Mental Health and Neuroscience Program, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Tian Lin
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia
| | - Naomi R Wray
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
- Department of Psychiatry, University of Oxford, Oxford, UK
- Oxford Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK
| | - Nicholas G Martin
- Mental Health and Neuroscience Program, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Ian B Hickie
- Brain and Mind Centre, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia.
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Das U, Thomas JD, Tarale P, Soja J, Inkelis S, Chambers C, Sarkar DK. Altered circadian expression of clock genes and clock-regulatory epigenetic modifiers in saliva of children with fetal alcohol spectrum disorders. Sci Rep 2024; 14:19886. [PMID: 39191924 DOI: 10.1038/s41598-024-71023-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2024] [Accepted: 08/23/2024] [Indexed: 08/29/2024] Open
Abstract
Prenatal alcohol-exposed (AE) infants and children often demonstrate disrupted sleep patterns, including more frequent awakenings, reduced total sleep time, and more night-to-night sleep variability. Despite the strong connection between sleep patterns and circadian rhythmicity, relatively little is known about circadian rhythm disruptions in individuals with AE. Recently, several reports demonstrated that evaluating the expression patterns of human clock genes in biological fluids could reveal an individual's circadian phenotype. Human saliva offers an emerging and easily available physiological sample that can be collected non-invasively for core-clock gene transcript analyses. We compared the expression patterns of core-clock genes and their regulatory genes in salivary samples of children aged 6-10 years-old with and without AE during the light cycle between ZT0-ZT11. We isolated the RNA from the samples and measured the expression patterns of core clock genes and clock regulating genes using the human specific primers with quantitative real-time PCR. Analysis of core clock genes expression levels in saliva samples from AE children indicates significantly altered levels in expression of core-clock BMAL1, CLOCK, PER1-3 and CRY1,2, as compared to those in age-matched control children. We did not find any sex difference in levels of clock genes in AE and control groups. Cosinor analysis was used to evaluate the rhythmic pattern of these clock genes, which identified circadian patterns in the levels of core clock genes in the control group but absent in the AE group. The gene expression profile of a salivary circadian biomarker ARRB1 was rhythmic in saliva of control children but was arhythmic in AE children. Altered expression patterns were also observed in clock regulatory genes: NPAS2, NFL3, NR1D1, DEC1, DEC2, and DBP, as well as chromatin modifiers: MLL1, P300, SIRT1, EZH2, HDAC3, and ZR1D1, known to maintain rhythmic expression of core-clock genes. Overall, these findings provide the first evidence that AE disturbs the circadian patten expression of core clock genes and clock-regulatory chromatin modifiers in saliva.
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Affiliation(s)
- Ujjal Das
- The Endocrine Program, Department of Animal Sciences, Rutgers, The State University of New Jersey, 67 Poultry Farm Lane, New Brunswick, NJ, USA
| | - Jennifer D Thomas
- Department of Psychology, College of Sciences, San Diego State University, San Diego, CA, USA
| | - Prashant Tarale
- The Endocrine Program, Department of Animal Sciences, Rutgers, The State University of New Jersey, 67 Poultry Farm Lane, New Brunswick, NJ, USA
| | - Jackie Soja
- Department of Psychology, College of Sciences, San Diego State University, San Diego, CA, USA
| | - Sarah Inkelis
- Department of Psychology, College of Sciences, San Diego State University, San Diego, CA, USA
| | - Christina Chambers
- Department of Pediatrics at University of California at San Diego, and Rady Children's Hospital, San Diego, CA, USA
| | - Dipak K Sarkar
- The Endocrine Program, Department of Animal Sciences, Rutgers, The State University of New Jersey, 67 Poultry Farm Lane, New Brunswick, NJ, USA.
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Liang X, Liang X, Zhao Y, Ding Y, Zhu X, Zhou J, Qiu J, Shen X, Xie W. Dysregulation of the Suprachiasmatic Nucleus Disturbs the Circadian Rhythm and Aggravates Epileptic Seizures by Inducing Hippocampal GABAergic Dysfunction in C57BL/6 Mice. J Pineal Res 2024; 76:e12993. [PMID: 39054842 DOI: 10.1111/jpi.12993] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2024] [Revised: 07/03/2024] [Accepted: 07/10/2024] [Indexed: 07/27/2024]
Abstract
The interplay between circadian rhythms and epilepsy has gained increasing attention. The suprachiasmatic nucleus (SCN), which acts as the master circadian pacemaker, regulates physiological and behavioral rhythms through its complex neural networks. However, the exact role of the SCN and its Bmal1 gene in the development of epilepsy remains unclear. In this study, we utilized a lithium-pilocarpine model to induce epilepsy in mice and simulated circadian disturbances by creating lesions in the SCN and specifically knocking out the Bmal1 gene in the SCN neurons. We observed that the pilocarpine-induced epileptic mice experienced increased daytime seizure frequency, irregular oscillations in core body temperature, and circadian gene alterations in both the SCN and the hippocampus. Additionally, there was enhanced activation of GABAergic projections from the SCN to the hippocampus. Notably, SCN lesions intensified seizure activity, concomitant with hippocampal neuronal damage and GABAergic signaling impairment. Further analyses using the Gene Expression Omnibus database and gene set enrichment analysis indicated reduced Bmal1 expression in patients with medial temporal lobe epilepsy, potentially affecting GABA receptor pathways. Targeted deletion of Bmal1 in SCN neurons exacerbated seizures and pathology in epilepsy, as well as diminished hippocampal GABAergic efficacy. These results underscore the crucial role of the SCN in modulating circadian rhythms and GABAergic function in the hippocampus, aggravating the severity of seizures. This study provides significant insights into how circadian rhythm disturbances can influence neuronal dysfunction and epilepsy, highlighting the therapeutic potential of targeting SCN and the Bmal1 gene within it in epilepsy management.
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Affiliation(s)
- Xiaoshan Liang
- Department of Traditional Chinese Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Xiaotao Liang
- School of Traditional Chinese Medicine, Southern Medical University, Guangzhou, China
| | - Yunyan Zhao
- Department of Critical Care Medicine, The Afflliated Traditional Chinese Medicine Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yuewen Ding
- Department of Traditional Chinese Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, China
- School of Traditional Chinese Medicine, Southern Medical University, Guangzhou, China
| | - Xiaoyu Zhu
- School of Traditional Chinese Medicine, Southern Medical University, Guangzhou, China
| | - Jieli Zhou
- School of Traditional Chinese Medicine, Southern Medical University, Guangzhou, China
| | - Jing Qiu
- School of Traditional Chinese Medicine, Southern Medical University, Guangzhou, China
| | - Xiaoqin Shen
- School of Traditional Chinese Medicine, Southern Medical University, Guangzhou, China
| | - Wei Xie
- Department of Traditional Chinese Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, China
- School of Traditional Chinese Medicine, Southern Medical University, Guangzhou, China
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9
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Zhou H, Liu J, Wu Y, Huang Z, Wang W, Ma Y, Zhu H, Zhou Z, Wang J, Jiang C. Unveiling the interoception impairment in various major depressive disorder stages. CNS Neurosci Ther 2024; 30:e14923. [PMID: 39154365 PMCID: PMC11330652 DOI: 10.1111/cns.14923] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Revised: 06/25/2024] [Accepted: 08/03/2024] [Indexed: 08/20/2024] Open
Abstract
BACKGROUND The intricate pathophysiological mechanisms of major depressive disorder (MDD) necessitate the development of comprehensive early indicators that reflect the complex interplay of emotional, physical, and cognitive factors. Despite its potential to fulfill these criteria, interoception remains underexplored in MDD. This study aimed to evaluate the potential of interoception in transforming MDD's clinical practices by examining interoception deficits across various MDD stages and analyzing their complex associations with the spectrum of depressive symptoms. METHODS This study included 431 healthy individuals, 206 subclinical depression individuals, and 483 MDD patients. Depressive symptoms and interoception function were assessed using the PHQ-9 and MAIA-2, respectively. RESULTS Interoception dysfunction occurred in the preclinical phase of MDD and further impaired in the clinical stage. Antidepressant therapies showed limited efficacy in improving interoception and might damage some dimensions. Interoceptive dimensions might predict depressive symptoms, primarily enhancing negative thinking patterns. The predictive model based on interoception was built with random split verification and demonstrated good discrimination and predictive performance in identifying MDD. CONCLUSIONS Early alterations in the preclinical stage, multivariate associations with depressive symptoms, and good discrimination and predictive performance highlight the importance of interoception in MDD management, pointing to a paradigm shift in diagnostic and therapeutic approaches.
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Affiliation(s)
- Hongliang Zhou
- Department of PsychologyThe Affiliated Hospital of Jiangnan UniversityWuxiChina
| | - Jikang Liu
- Department of PsychiatryThe Affiliated Wuxi Mental Health Center of Nanjing Medical UniversityWuxiChina
| | - Yuqing Wu
- Department of PsychiatryThe Affiliated Mental Health Center of Jiangnan UniversityWuxiChina
| | - Zixuan Huang
- Department of PsychiatryThe Affiliated Mental Health Center of Jiangnan UniversityWuxiChina
| | - Wenliang Wang
- Department of PsychiatryThe Affiliated Mental Health Center of Jiangnan UniversityWuxiChina
| | - Yuhang Ma
- Department of PsychiatryThe Affiliated Mental Health Center of Jiangnan UniversityWuxiChina
| | - Haohao Zhu
- Department of PsychiatryThe Affiliated Wuxi Mental Health Center of Nanjing Medical UniversityWuxiChina
- Department of PsychiatryThe Affiliated Mental Health Center of Jiangnan UniversityWuxiChina
| | - Zhenhe Zhou
- Department of PsychiatryThe Affiliated Wuxi Mental Health Center of Nanjing Medical UniversityWuxiChina
- Department of PsychiatryThe Affiliated Mental Health Center of Jiangnan UniversityWuxiChina
| | - Jun Wang
- Department of PsychiatryThe Affiliated Wuxi Mental Health Center of Nanjing Medical UniversityWuxiChina
- Department of PsychiatryThe Affiliated Mental Health Center of Jiangnan UniversityWuxiChina
| | - Chenguang Jiang
- Department of Psychosomatics and Psychiatry, ZhongDa Hospital, School of MedicineSoutheast UniversityNanjingChina
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10
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Hickman R, D’Oliveira TC, Davies A, Shergill S. Monitoring Daily Sleep, Mood, and Affect Using Digital Technologies and Wearables: A Systematic Review. SENSORS (BASEL, SWITZERLAND) 2024; 24:4701. [PMID: 39066098 PMCID: PMC11280943 DOI: 10.3390/s24144701] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/05/2024] [Revised: 07/05/2024] [Accepted: 07/10/2024] [Indexed: 07/28/2024]
Abstract
Background: Sleep and affective states are closely intertwined. Nevertheless, previous methods to evaluate sleep-affect associations have been limited by poor ecological validity, with a few studies examining temporal or dynamic interactions in naturalistic settings. Objectives: First, to update and integrate evidence from studies investigating the reciprocal relationship between daily sleep and affective phenomena (mood, affect, and emotions) through ambulatory and prospective monitoring. Second, to evaluate differential patterns based on age, affective disorder diagnosis (bipolar, depression, and anxiety), and shift work patterns on day-to-day sleep-emotion dyads. Third, to summarise the use of wearables, actigraphy, and digital tools in assessing longitudinal sleep-affect associations. Method: A comprehensive PRISMA-compliant systematic review was conducted through the EMBASE, Ovid MEDLINE(R), PsycINFO, and Scopus databases. Results: Of the 3024 records screened, 121 studies were included. Bidirectionality of sleep-affect associations was found (in general) across affective disorders (bipolar, depression, and anxiety), shift workers, and healthy participants representing a range of age groups. However, findings were influenced by the sleep indices and affective dimensions operationalised, sampling resolution, time of day effects, and diagnostic status. Conclusions: Sleep disturbances, especially poorer sleep quality and truncated sleep duration, were consistently found to influence positive and negative affective experiences. Sleep was more often a stronger predictor of subsequent daytime affect than vice versa. The strength and magnitude of sleep-affect associations were more robust for subjective (self-reported) sleep parameters compared to objective (actigraphic) sleep parameters.
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Affiliation(s)
- Robert Hickman
- Institute of Psychiatry, Psychology & Neuroscience, King’s College London, 16 De Crespigny Park, London SE5 8AF, UK;
- National Institute for Health Research, Maudsley Biomedical Research Centre, South London and Maudsley National Health Service Foundation Trust, London SE5 8AF, UK
| | - Teresa C. D’Oliveira
- Institute of Psychiatry, Psychology & Neuroscience, King’s College London, 16 De Crespigny Park, London SE5 8AF, UK;
- School of Psychology and Life Sciences, Canterbury Christ Church University, North Holmes Road, Canterbury CT1 1QU, UK
- Kent and Medway Medical School, Canterbury Christ Church University and the University of Kent, Canterbury CT2 7NZ, UK;
| | - Ashleigh Davies
- Kent and Medway Medical School, Canterbury Christ Church University and the University of Kent, Canterbury CT2 7NZ, UK;
| | - Sukhi Shergill
- Institute of Psychiatry, Psychology & Neuroscience, King’s College London, 16 De Crespigny Park, London SE5 8AF, UK;
- Kent and Medway Medical School, Canterbury Christ Church University and the University of Kent, Canterbury CT2 7NZ, UK;
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11
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Iorfino F, Varidel M, Capon W, Richards M, Crouse JJ, LaMonica HM, Park SH, Piper S, Song YJC, Gorban C, Scott EM, Hickie IB. Quantifying the interrelationships between physical, social, and cognitive-emotional components of mental fitness using digital technology. NPJ MENTAL HEALTH RESEARCH 2024; 3:36. [PMID: 38977903 PMCID: PMC11231280 DOI: 10.1038/s44184-024-00078-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Accepted: 06/08/2024] [Indexed: 07/10/2024]
Abstract
Mental fitness is a construct that goes beyond a simple focus on subjective emotional wellbeing to encompass more broadly our ability to think, feel, and act to achieve what we want in our daily lives. The measurement and monitoring of multiple (often interacting) domains is crucial to gain a holistic and complete insight into an individual's mental fitness. We aimed to demonstrate the capability of a new mobile app to characterise the mental fitness of a general population of Australians and to quantify the interrelationships among different domains of mental fitness. Cross-sectional data were collected from 4901 adults from the general population of Australians engaged in work or education who used a mobile app (Innowell) between September 2021 and November 2022. Individuals completed a baseline questionnaire comprised of 26 questions across seven domains of mental fitness (i.e., physical activity, sleep and circadian rhythms, nutrition, substance use, daily activities, social connection, psychological distress). Network analysis was applied at both a domain-level (e.g., 7 nodes representing each cluster of items) and an individual item-level (i.e., 26 nodes representing all questionnaire items). Only 612 people (12%) were functioning well across all domains. One quarter (n = 1204, 25%) had only one problem domain and most (n = 3085, 63%) had multiple problem domains. The two most problematic domains were physical activity (n = 2631, 54%) and social connection (n = 2151, 44%), followed closely by daily activity (n = 1914, 39%). At the domain-level, the strongest association emerged between psychological distress and daily activity (r = 0.301). Psychological distress was the most central node in the network (as measured by strength and expected influence), followed closely by daily activity, sleep and circadian rhythms and then social connection. The item-level network revealed that the nodes with the highest centrality in the network were: hopelessness, depression, functional impairment, effortfulness, subjective energy, worthlessness, and social connectedness. Social connection, sleep and circadian rhythms, and daily activities may be critical targets for intervention due to their widespread associations in the overall network. While psychological distress was not among the most common problems, its centrality may indicate its importance for indicated prevention and early intervention. We showcase the capability of a new mobile app to monitor mental fitness and identify the interrelationships among multiple domains, which may help people develop more personalised insights and approaches.
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Affiliation(s)
- Frank Iorfino
- Brain and Mind Centre, The University of Sydney, Sydney, Australia.
| | - Mathew Varidel
- Brain and Mind Centre, The University of Sydney, Sydney, Australia
| | - William Capon
- Brain and Mind Centre, The University of Sydney, Sydney, Australia
| | - Matthew Richards
- Brain and Mind Centre, The University of Sydney, Sydney, Australia
| | - Jacob J Crouse
- Brain and Mind Centre, The University of Sydney, Sydney, Australia
| | - Haley M LaMonica
- Brain and Mind Centre, The University of Sydney, Sydney, Australia
| | - Shin Ho Park
- Brain and Mind Centre, The University of Sydney, Sydney, Australia
| | - Sarah Piper
- Brain and Mind Centre, The University of Sydney, Sydney, Australia
| | | | - Carla Gorban
- Brain and Mind Centre, The University of Sydney, Sydney, Australia
| | | | - Ian B Hickie
- Brain and Mind Centre, The University of Sydney, Sydney, Australia
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12
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Luo J, Lin S. Sleep-wake changes and incident depressive symptoms in midlife women. Sci Rep 2024; 14:15184. [PMID: 38956441 PMCID: PMC11219764 DOI: 10.1038/s41598-024-66145-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2024] [Accepted: 06/27/2024] [Indexed: 07/04/2024] Open
Abstract
Our study aimed to investigate the relationship between sleep-wake changes and depressive symptoms events among midlife women. We enrolled 1579 women aged 44-56 years who had no clinically relevant depressive symptoms at baseline. Depressive symptoms were assessed at each visit using the Center for Epidemiologic Studies Depression scale. At the third and fourth follow-up visits, women reported their sleep habits. The sleep midpoint was defined as the time to fall asleep plus one-half of the sleep duration. Sleep-wake changes were determined by the difference in the midpoint of sleep between the third and fourth visits, which were 1 year apart. The median follow-up time was 7 years (range 1-7 years). Cox proportional hazard models were fitted to calculate hazard ratios and 95% confidence intervals for the incidence of depressive symptoms associated with sleep-wake changes. After adjusting for potential confounding factors, the hazard ratio (95% confidence interval) of depressive symptoms for severe sleep midpoint changes was 1.51 (1.12, 2.05) compared with mild sleep midpoint changes. This relationship remained statistically significant and changed little when additionally controlling for sleep duration, sleep quality, insomnia symptoms, use of sleep medications, use of nervous medications, glucose, insulin, lipids, dietary energy intake, and C-reactive protein. Our findings indicate that exposure to long-term severe sleep-wake changes increases the risk of depressive symptoms in midlife women.
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Affiliation(s)
- Jing Luo
- School of Rehabilitation, Jiangsu College of Nursing, Huaian, 223003, Jiangsu, China
| | - Song Lin
- Department of Clinical Nutrition, The Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Huaian, 223300, Jiangsu, China.
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13
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Li S, Li X, Wang J, Jiang D, Zhang Y, Lou W, Bao K, Gong Q. Associations between insufficient sleep, skipping breakfast and depressive symptoms in children and adolescents: A school-based cross-sectional study in China. Prev Med 2024; 184:107978. [PMID: 38697227 DOI: 10.1016/j.ypmed.2024.107978] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2024] [Revised: 04/27/2024] [Accepted: 04/28/2024] [Indexed: 05/04/2024]
Abstract
OBJECTIVE Insufficient sleep and skipping breakfast are increasingly prevalent among children and adolescents. Both behaviors are associated with the onset of depression. This study aims to examine the independent and joint associations of these two behaviors with depressive symptoms, and investigate whether these associations varied by age or sex. METHODS The Center for Epidemiological Studies Depression Scale (CES-D) was used to evaluate the depressive symptoms. This cross-sectional study including 11,887 students aged 11-19 years using a stratified cluster, multistage sampling method in Ningbo, China. Multiple logistic regressions were conducted to evaluate the independent and joint association between insufficient sleep, skipping breakfast and depressive symptoms. Sensitivity analyses and stratified analyses by age and sex were performed using the same modelling strategies. RESULTS The overall prevalence of depressive symptoms was 15.27%. Skipping breakfast (Odds Ratio (OR) = 2.557, 95% Confidence Interval (CI) = 2.236-2.925) and insufficient sleep (OR = 1.547, 95%CI = 1.390-1.723) was independently associated with depressive symptoms. Compared to students with "sufficient sleep and breakfast every day", the OR was 4.385 (95%CI = 3.649-5.271) for those with "insufficient sleep and skipping breakfast". Meanwhile, the joint association was moderated by age group, with a more apparent association observed in the 11-15-year-old group compared to the 16-19-year-old group. CONCLUSIONS These findings indicated that insufficient sleep and skipping breakfast were independently and jointly associated with depressive symptoms. Insufficient sleep and skipping breakfast could be considered as two of the predictors of depression.
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Affiliation(s)
- Sixuan Li
- Ningbo Municipal Center for Disease Control and Prevention, Ningbo 315016, Zhejiang Province, China
| | - Xiaoyong Li
- Yinzhou District Center for Disease Control and Prevention, Ningbo 315100, Zhejiang Province, China
| | - Jinghui Wang
- Ningbo Municipal Center for Disease Control and Prevention, Ningbo 315016, Zhejiang Province, China
| | - Danjie Jiang
- Ningbo Municipal Center for Disease Control and Prevention, Ningbo 315016, Zhejiang Province, China
| | - Yan Zhang
- Ningbo Municipal Center for Disease Control and Prevention, Ningbo 315016, Zhejiang Province, China
| | - Wangwei Lou
- Ninghai Center for Disease Prevention and Control, Ningbo 315600, Zhejiang Province, China
| | - Kaifang Bao
- Ningbo Municipal Center for Disease Control and Prevention, Ningbo 315016, Zhejiang Province, China
| | - Qinghai Gong
- Ningbo Municipal Center for Disease Control and Prevention, Ningbo 315016, Zhejiang Province, China.
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14
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Pelizza L, Leuci E, Quattrone E, Azzali S, Pupo S, Paulillo G, Pellegrini P, Menchetti M. Short-term disengagement from early intervention service for first-episode psychosis: findings from the "Parma Early Psychosis" program. Soc Psychiatry Psychiatr Epidemiol 2024; 59:1201-1213. [PMID: 37831081 PMCID: PMC11178576 DOI: 10.1007/s00127-023-02564-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Accepted: 09/28/2023] [Indexed: 10/14/2023]
Abstract
PURPOSE Service disengagement is a major concern for "Early Intervention in Psychosis" (EIP). Indeed, identifying predictors of engagement is crucial to maximize mental healthcare interventions in first-episode psychosis (FEP). No Italian study on this topic has been reported to date. Thus, the aims of this investigation were: (1) to examine short-term disengagement rate in an Italian population of FEP patients treated within an EIP service across a 1-year follow-up period, and (b) to assess the most relevant predictors of disengagement in the first year of treatment. METHODS All participants were young FEP help-seeking patients, aged 12-35 years, enrolled within the "Parma Early Psychosis" (Pr-EP) protocol. At baseline, they completed the Positive And Negative Syndrome Scale (PANSS), the Health of the Nation Outcome Scale (HoNOS) and the Global Assessment of Functioning (GAF) scale. Univariate and multivariate Cox regression analyses were used. RESULTS 496 FEP individuals were enrolled in this research. Across the follow-up, a 16.5% prevalence of short-term disengagement was found. Particularly robust predictors of service disengagement were poor baseline treatment non-adherence, living with parents and the presence of brief psychotic disorder or schizophreniform disorder at entry. CONCLUSION About 16% of FEP patients disengaged the Pr-EP program within the first year of treatment. A solution to reduce disengagement and/or to favor re-engagement of these subjects might be to remain on EIP program caseloads allowing the option for low-intensity support and monitoring, also via remote technology.
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Affiliation(s)
- Lorenzo Pelizza
- Department of Biomedical and Neuromotor Sciences, "Alma Mater Studiorum", Università di Bologna, Viale Pepoli, 5, 40126, Bologna, BO, Italy.
- Department of Mental Health and Pathological Addiction, Azienda USL di Parma, Parma, PR, Italy.
| | - Emanuela Leuci
- Department of Mental Health and Pathological Addiction, Azienda USL di Parma, Parma, PR, Italy
| | - Emanuela Quattrone
- Department of Mental Health and Pathological Addiction, Azienda USL di Parma, Parma, PR, Italy
| | - Silvia Azzali
- Department of Mental Health and Pathological Addiction, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, RE, Italy
| | - Simona Pupo
- Pain Therapy Service, Department of Medicine and Surgery, Azienda Ospedaliero-Universitaria di Parma, Parma, PR, Italy
| | - Giuseppina Paulillo
- Pain Therapy Service, Department of Medicine and Surgery, Azienda Ospedaliero-Universitaria di Parma, Parma, PR, Italy
| | - Pietro Pellegrini
- Department of Mental Health and Pathological Addiction, Azienda USL di Parma, Parma, PR, Italy
| | - Marco Menchetti
- Department of Biomedical and Neuromotor Sciences, "Alma Mater Studiorum", Università di Bologna, Viale Pepoli, 5, 40126, Bologna, BO, Italy
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15
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Crouse JJ, Park SH, Byrne EM, Mitchell BL, Chan K, Scott J, Medland SE, Martin NG, Wray NR, Hickie IB. Evening Chronotypes With Depression Report Poorer Outcomes of Selective Serotonin Reuptake Inhibitors: A Survey-Based Study of Self-Ratings. Biol Psychiatry 2024; 96:4-14. [PMID: 38185236 DOI: 10.1016/j.biopsych.2023.12.023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Revised: 12/20/2023] [Accepted: 12/28/2023] [Indexed: 01/09/2024]
Abstract
BACKGROUND Preliminary evidence suggests that evening chronotype is related to poorer efficacy of selective serotonin reuptake inhibitors. It is unknown whether this is specific to particular medications, self-rated chronotype, or efficacy. METHODS In the Australian Genetics of Depression Study (n = 15,108; 75% women; 18-90 years; 68% with ≥1 other lifetime diagnosis), a survey recorded experiences with 10 antidepressants, and the reduced Morningness-Eveningness Questionnaire was used to estimate chronotype. A chronotype polygenic score was calculated. Age- and sex-adjusted regression models (Bonferroni-corrected) estimated associations among antidepressant variables (how well the antidepressant worked [efficacy], duration of symptom improvement, side effects, discontinuation due to side effects) and self-rated and genetic chronotypes. RESULTS The chronotype polygenic score explained 4% of the variance in self-rated chronotype (r = 0.21). Higher self-rated eveningness was associated with poorer efficacy of escitalopram (odds ratio [OR] = 1.04; 95% CI, 1.02 to 1.06; p = .000035), citalopram (OR = 1.03; 95% CI, 1.01 to 1.05; p = .004), fluoxetine (OR = 1.03; 95% CI, 1.01 to 1.05; p = .001), sertraline (OR = 1.02; 95% CI, 1.01 to 1.04; p = .0008), and desvenlafaxine (OR = 1.03; 95% CI, 1.01 to 1.05; p = .004), and a profile of increased side effects (80% of those recorded; ORs = 0.93-0.98), with difficulty getting to sleep the most common. Self-rated chronotype was unrelated to duration of improvement or discontinuation. The chronotype polygenic score was only associated with suicidal thoughts and attempted suicide (self-reported). While our measures are imperfect, and not of circadian phase under controlled conditions, the model coefficients suggest that dysregulation of the phenotypic chronotype relative to its genetic proxy drove relationships with antidepressant outcomes. CONCLUSIONS The idea that variation in circadian factors influences response to antidepressants was supported and encourages exploration of circadian mechanisms of depressive disorders and antidepressant treatments.
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Affiliation(s)
- Jacob J Crouse
- Brain and Mind Centre, the University of Sydney, Sydney, New South Wales, Australia.
| | - Shin Ho Park
- Brain and Mind Centre, the University of Sydney, Sydney, New South Wales, Australia
| | - Enda M Byrne
- Institute for Molecular Bioscience, the University of Queensland, Brisbane, Queensland, Australia; Child Health Research Centre, the University of Queensland, Brisbane, Queensland, Australia
| | - Brittany L Mitchell
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Karina Chan
- Brain and Mind Centre, the University of Sydney, Sydney, New South Wales, Australia
| | - Jan Scott
- Brain and Mind Centre, the University of Sydney, Sydney, New South Wales, Australia; Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Sarah E Medland
- Mental Health and Neuroscience Program, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Nicholas G Martin
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Naomi R Wray
- Institute for Molecular Bioscience, the University of Queensland, Brisbane, Queensland, Australia; Department of Psychiatry, University of Oxford, Oxford, United Kingdom; Oxford Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, United Kingdom
| | - Ian B Hickie
- Brain and Mind Centre, the University of Sydney, Sydney, New South Wales, Australia
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16
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Pelizza L, Leuci E, Quattrone E, Azzali S, Pupo S, Paulillo G, Pellegrini P, Menchetti M. Rates and predictors of service disengagement in adolescents with first episode psychosis: results from the 2-year follow-up of the Pr-EP program. Eur Child Adolesc Psychiatry 2024; 33:2217-2229. [PMID: 37812244 PMCID: PMC11255065 DOI: 10.1007/s00787-023-02306-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Accepted: 09/19/2023] [Indexed: 10/10/2023]
Abstract
Service disengagement is a major concern for "Early Intervention in Psychosis" (EIP). Indeed, understanding predictors of engagement is important for the effectiveness of mental health interventions, to improve outcome and quality of life, also in adolescents with first episode psychosis (FEP). No specific European investigation on this topic in adolescence has been reported in the literature to date. The aim of this study was to investigate service disengagement rate and predictors in an Italian sample of FEP adolescents treated within an EIP program during a 2-year follow-up period. All participants were adolescents help-seekers (aged 12-18 years) enrolled in the "Parma Early Psychosis" (Pr-EP) program. At baseline, they completed the Positive and Negative Syndrome Scale (PANSS) and the Global Assessment of Functioning (GAF) scale. Univariate and multivariate Cox regression analyses were performed. 71 FEP adolescents were recruited in this research. During the 2 years of our follow-up, a 25.4% prevalence rate of service disengagement was found. Particularly robust predictors of disengagement were lower baseline acceptance of psychosocial interventions, substance abuse at entry, and lower baseline PANSS "Disorganization" factor score. Approximately, 1/4 of our FEP adolescents disengaged from the Pr-EP program during the first 2 years of treatment. A possible solution to decrease disengagement and to favor re-engagement of these young individuals might be to provide the option of low-intensity monitoring and support, also via remote technology.
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Affiliation(s)
- Lorenzo Pelizza
- Department of Biomedical and Neuromotor Sciences, Alma Mater Studiorum Università di Bologna, Istituto di Psichiatria "Paolo Ottonello", viale Pepoli 5, 40123, Bologna, BO, Italy.
- Department of Mental Health and Pathological Addictions, Azienda USL di Parma, largo Palli 1/a, 43100, Parma, PR, Italy.
| | - Emanuela Leuci
- Department of Mental Health and Pathological Addictions, Azienda USL di Parma, largo Palli 1/a, 43100, Parma, PR, Italy
| | - Emanuela Quattrone
- Department of Mental Health and Pathological Addictions, Azienda USL di Parma, largo Palli 1/a, 43100, Parma, PR, Italy
| | - Silvia Azzali
- Department of Mental Health and Pathological Addictions, Azienda USL-IRCCS di Reggio Emilia, viale Amendola 2, 42100, Reggio Emilia, RE, Italy
| | - Simona Pupo
- Pain Therapy Service, Department of Medicine and Surgery, Azienda Ospedaliero-Universitaria di Parma, viale Gramsci 14, 43100, Parma, PR, Italy
| | - Giuseppina Paulillo
- Department of Mental Health and Pathological Addictions, Azienda USL di Parma, largo Palli 1/a, 43100, Parma, PR, Italy
| | - Pietro Pellegrini
- Department of Mental Health and Pathological Addictions, Azienda USL di Parma, largo Palli 1/a, 43100, Parma, PR, Italy
| | - Marco Menchetti
- Department of Biomedical and Neuromotor Sciences, Alma Mater Studiorum Università di Bologna, Istituto di Psichiatria "Paolo Ottonello", viale Pepoli 5, 40123, Bologna, BO, Italy
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17
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Zhang Y, Folarin AA, Sun S, Cummins N, Ranjan Y, Rashid Z, Stewart C, Conde P, Sankesara H, Laiou P, Matcham F, White KM, Oetzmann C, Lamers F, Siddi S, Simblett S, Vairavan S, Myin-Germeys I, Mohr DC, Wykes T, Haro JM, Annas P, Penninx BW, Narayan VA, Hotopf M, Dobson RJ. Longitudinal Assessment of Seasonal Impacts and Depression Associations on Circadian Rhythm Using Multimodal Wearable Sensing: Retrospective Analysis. J Med Internet Res 2024; 26:e55302. [PMID: 38941600 PMCID: PMC11245656 DOI: 10.2196/55302] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Revised: 02/22/2024] [Accepted: 03/29/2024] [Indexed: 06/30/2024] Open
Abstract
BACKGROUND Previous mobile health (mHealth) studies have revealed significant links between depression and circadian rhythm features measured via wearables. However, the comprehensive impact of seasonal variations was not fully considered in these studies, potentially biasing interpretations in real-world settings. OBJECTIVE This study aims to explore the associations between depression severity and wearable-measured circadian rhythms while accounting for seasonal impacts. METHODS Data were sourced from a large longitudinal mHealth study, wherein participants' depression severity was assessed biweekly using the 8-item Patient Health Questionnaire (PHQ-8), and participants' behaviors, including sleep, step count, and heart rate (HR), were tracked via Fitbit devices for up to 2 years. We extracted 12 circadian rhythm features from the 14-day Fitbit data preceding each PHQ-8 assessment, including cosinor variables, such as HR peak timing (HR acrophase), and nonparametric features, such as the onset of the most active continuous 10-hour period (M10 onset). To investigate the association between depression severity and circadian rhythms while also assessing the seasonal impacts, we used three nested linear mixed-effects models for each circadian rhythm feature: (1) incorporating the PHQ-8 score as an independent variable, (2) adding seasonality, and (3) adding an interaction term between season and the PHQ-8 score. RESULTS Analyzing 10,018 PHQ-8 records alongside Fitbit data from 543 participants (n=414, 76.2% female; median age 48, IQR 32-58 years), we found that after adjusting for seasonal effects, higher PHQ-8 scores were associated with reduced daily steps (β=-93.61, P<.001), increased sleep variability (β=0.96, P<.001), and delayed circadian rhythms (ie, sleep onset: β=0.55, P=.001; sleep offset: β=1.12, P<.001; M10 onset: β=0.73, P=.003; HR acrophase: β=0.71, P=.001). Notably, the negative association with daily steps was more pronounced in spring (β of PHQ-8 × spring = -31.51, P=.002) and summer (β of PHQ-8 × summer = -42.61, P<.001) compared with winter. Additionally, the significant correlation with delayed M10 onset was observed solely in summer (β of PHQ-8 × summer = 1.06, P=.008). Moreover, compared with winter, participants experienced a shorter sleep duration by 16.6 minutes, an increase in daily steps by 394.5, a delay in M10 onset by 20.5 minutes, and a delay in HR peak time by 67.9 minutes during summer. CONCLUSIONS Our findings highlight significant seasonal influences on human circadian rhythms and their associations with depression, underscoring the importance of considering seasonal variations in mHealth research for real-world applications. This study also indicates the potential of wearable-measured circadian rhythms as digital biomarkers for depression.
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Affiliation(s)
- Yuezhou Zhang
- Department of Biostatistics & Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Amos A Folarin
- Department of Biostatistics & Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
- Institute of Health Informatics, University College London, London, United Kingdom
- NIHR Biomedical Research Centre at South London and Maudsley NHS Foundation Trust, London, United Kingdom
- NIHR Biomedical Research Centre at University College London Hospitals, NHS Foundation Trust, London, United Kingdom
- Health Data Research UK London, University College London, London, United Kingdom
| | - Shaoxiong Sun
- Department of Biostatistics & Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
- Department of Computer Science, University of Sheffield, Sheffield, United Kingdom
| | - Nicholas Cummins
- Department of Biostatistics & Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Yatharth Ranjan
- Department of Biostatistics & Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Zulqarnain Rashid
- Department of Biostatistics & Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Callum Stewart
- Department of Biostatistics & Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Pauline Conde
- Department of Biostatistics & Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Heet Sankesara
- Department of Biostatistics & Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Petroula Laiou
- Department of Biostatistics & Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Faith Matcham
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
- School of Psychology, University of Sussex, Falmer, United Kingdom
| | - Katie M White
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Carolin Oetzmann
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Femke Lamers
- Department of Psychiatry, Amsterdam UMC, Vrije Universiteit, Amsterdam, Netherlands
- Mental Health Program, Amsterdam Public Health Research Institute, Amsterdam, Netherlands
| | - Sara Siddi
- Centro de Investigación Biomédica en Red de Salud Mental, Madrid, Spain
- Teaching Research and Innovation Unit, Parc Sanitari Sant Joan de Déu, Fundació Sant Joan de Déu, Barcelona, Spain
- Faculty of Medicine and Health Sciences, Universitat de Barcelona, Barcelona, Spain
| | - Sara Simblett
- Department of Psychology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | | | - Inez Myin-Germeys
- Department of Neurosciences, Center for Contextual Psychiatry, Katholieke Universiteit Leuven, Leuven, Belgium
| | - David C Mohr
- Center for Behavioral Intervention Technologies, Department of Preventive Medicine, Northwestern University, Chicago, IL, United States
| | - Til Wykes
- Department of Psychology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
- South London and Maudsley NHS Foundation Trust, London, United Kingdom
| | - Josep Maria Haro
- Centro de Investigación Biomédica en Red de Salud Mental, Madrid, Spain
- Teaching Research and Innovation Unit, Parc Sanitari Sant Joan de Déu, Fundació Sant Joan de Déu, Barcelona, Spain
- Faculty of Medicine and Health Sciences, Universitat de Barcelona, Barcelona, Spain
| | | | - Brenda Wjh Penninx
- Department of Psychiatry, Amsterdam UMC, Vrije Universiteit, Amsterdam, Netherlands
- Mental Health Program, Amsterdam Public Health Research Institute, Amsterdam, Netherlands
| | - Vaibhav A Narayan
- Janssen Research and Development LLC, Titusville, NJ, United States
- Davos Alzheimer's Collaborative, Geneva, Switzerland
| | - Matthew Hotopf
- NIHR Biomedical Research Centre at South London and Maudsley NHS Foundation Trust, London, United Kingdom
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
- South London and Maudsley NHS Foundation Trust, London, United Kingdom
| | - Richard Jb Dobson
- Department of Biostatistics & Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
- Institute of Health Informatics, University College London, London, United Kingdom
- NIHR Biomedical Research Centre at South London and Maudsley NHS Foundation Trust, London, United Kingdom
- NIHR Biomedical Research Centre at University College London Hospitals, NHS Foundation Trust, London, United Kingdom
- Health Data Research UK London, University College London, London, United Kingdom
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18
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Zhang X, Zhao Q, Wang Y, Mao Y, Sun Y, Bian X. Effectiveness and safety of Chaihu-Shugan-San for treating depression based on clinical cases: An updated systematic review and meta-analysis. Medicine (Baltimore) 2024; 103:e38668. [PMID: 38941409 DOI: 10.1097/md.0000000000038668] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/30/2024] Open
Abstract
BACKGROUND Chaihu-Shugan-San (CSS), a Traditional Chinese Medicine formula, has been widely used for treating depression since the Ming Dynasty, as recorded in Jingyue Quanshu, but its effectiveness and safety lack comprehensive and objective evaluation. Based on our meta-analysis, we aimed to adequately evaluate the efficacy and risk of CSS by considering the latest clinical literature. METHODS Multiple databases, including PubMed, Embase, Web of Science, SinoMed, China National Knowledge Infrastructure, Chongqing VIP, and Wanfang, were used to collect clinical data. The quality of the included clinical studies was assessed using the Cochrane Risk of Bias Tool, and the data were meta-analyzed using Review Manager 5.0 and Stata 17. The data were obtained from a genome-wide association study, and Mendelian randomization (MR) was performed using R Software 4.3.2 with the TwoSampleMR and MR Pleiotropy RESidual Sum and Outlier packages. RESULTS A total of 15 studies with 1034 patients and 6 antidepressant drugs were included in this work. Meta-analyses revealed that drug combinations of CSS and antidepressants significantly improved depressive symptoms (weighted mean difference = -4.21; 95% confidence interval [CI]: -5.62--2.81), increased the effective rate (odds ratio [OR] = 3.82; 95% CI: 2.44-6.83), and reduced side effects (OR = -3.55; 95% CI: -5.66--1.43) compared with antidepressant monotherapy. Additionally, compared with antidepressant monotherapy, CSS alone exhibited fewer side effects (95% CI:-9.25--6.95). Like antidepressants, CSS also improved depressive symptoms (weighted mean difference = -0.05; 95% CI: -0.63--0.52) and increased the effective rate (OR = 1.07; 95% CI: 0.52-2.20). Additionally, MR was used to evaluate the safety of traditional antidepressants, as there was a causal association between amitriptyline and body mass index. CONCLUSION This analysis demonstrated that compared with traditional antidepressants, CSS combined with antidepressants was more effective and safer for treating depressed patients. MR showed that a causal relationship may exist between amitriptyline and body mass index. Therefore, clinicians should carefully consider the advantages and potential drawbacks of Traditional Chinese Medicine and classic drugs to serve patients better.
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Affiliation(s)
- Xiaohang Zhang
- Department of Pharmacy, The First People's Hospital of Yancheng, Yancheng, Jiangsu, China
- School of Integrated Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Qiulong Zhao
- Department of Pharmacy, Shenzhen Hospital of Integrated Traditional Chinese and Western Medicine, Shenzhen, Guangdong, China
| | - Yang Wang
- Department of Pharmacy, Children's Hospital of Soochow University, Suzhou, Jiangsu, China
| | - Yaqing Mao
- School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Yue Sun
- School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Xiaokun Bian
- Department of Pharmacy, The First People's Hospital of Yancheng, Yancheng, Jiangsu, China
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19
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Xu Y, Zeng C, Bin J, Tang H, Li W. Identifying novel circadian rhythm biomarkers for diagnosis and prognosis of melanoma by an integrated bioinformatics and machine learning approach. Aging (Albany NY) 2024; 16:11824-11842. [PMID: 39213172 PMCID: PMC11386929 DOI: 10.18632/aging.205961] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Accepted: 12/26/2023] [Indexed: 09/04/2024]
Abstract
Melanoma is a highly malignant skin tumor with poor prognosis. Circadian rhythm is closely related to melanoma pathogenesis. This study aimed to identify key circadian rhythm genes (CRGs) in melanoma and explore their potential as diagnostic and prognostic biomarkers. Microarray data of melanoma tissues and normal skins were obtained. Differentially expressed genes were identified and weighted gene co-expression network analysis (WGCNA) was performed to screen hub genes associated with melanoma. By overlapping hub genes with known CRGs, 125 melanoma-related CRGs were identified. Functional enrichment analysis revealed these CRGs were mainly involved in circadian rhythm and other cancer-related pathways. Three machine learning algorithms including LASSO regression, support vector machine-recursive feature elimination (SVM-RFE), and random forest were utilized to select key CRGs. Six CRGs (ABCC2, CA14, EGR3, FBXW7, LDHB, and PSEN2) were identified as key CRGs for melanoma diagnosis and prognosis. Diagnostic values of key CRGs were evaluated by ROC analysis in training and validation sets. Prognostic values of key CRGs were assessed by survival analysis and a multivariate Cox regression prognostic model was constructed. The prognostic model could effectively stratify melanoma patients into high- and low-risk groups with significantly different survival. A nomogram integrating clinical variables and risk score was built to predict 3-, 5- and 10-year overall survival of melanoma patients. In summary, six CRGs were identified as key genes associated with melanoma pathogenesis and may serve as promising diagnostic and prognostic biomarkers. The prognostic model and nomogram could facilitate personalized prognosis evaluation of melanoma patients.
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Affiliation(s)
- Yi Xu
- Department of Plastic Surgery, Second People’s Hospital of Hunan Province, Changsha, Hunan, China
| | - Churuo Zeng
- Department of Plastic Surgery, Second People’s Hospital of Hunan Province, Changsha, Hunan, China
| | - Jie Bin
- Department of Plastic Surgery, Second People’s Hospital of Hunan Province, Changsha, Hunan, China
| | - Hua Tang
- Department of Plastic Surgery, Second People’s Hospital of Hunan Province, Changsha, Hunan, China
| | - Wei Li
- Department of Plastic Surgery, Second People’s Hospital of Hunan Province, Changsha, Hunan, China
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20
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Chen P, Qin J, Wang Y, Yuan J, Pan Y, Zhu B. The causal relationship between sleep and risk of psychiatric disorders: A two-sample mendelian randomization study. Front Genet 2024; 15:1380544. [PMID: 38952712 PMCID: PMC11215123 DOI: 10.3389/fgene.2024.1380544] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2024] [Accepted: 05/31/2024] [Indexed: 07/03/2024] Open
Abstract
Introduction Sleep is associated with psychiatric disorders. However, their causality remains unknown. Methods The study explored the causal relationship between seven sleep parameters (sleep duration, insomnia, sleep apnea, chronotype, daytime dozing, napping during the day, and snoring) and three psychiatric disorders including major depressive disorder (MDD), schizophrenia, and attention-deficit/hyperactivity disorder (ADHD) using two-sample Mendelian randomization (MR). Genome-wide association study (GWAS) summary data for sleep parameters were obtained from the United Kingdom biobank, FinnGen biobank, and EBI databases. MR-Egger, weighted median, inverse-variance weighted (IVW), simple mode, weighted mode, maximum likelihood, penalized weighted median, and IVW(fixed effects) were used to perform the MR analysis. The heterogeneity was detected by Cochran's Q statistic. The horizontal pleiotropy was detected by MR Egger. The sensitivity was investigated by the leave-one-out analysis. Results Insomnia (OR = 2.02, 95%CI = 1.34-3.03, p = 0.001, False-discovery rate (FDR) corrected p-value = 0.011) and napping during the day (OR = 1.81, 95%CI = 1.34-2.44, FDR corrected p-value<0.001) were associated with an increased risk of MDD. Longer sleep duration (OR = 2.20, 95%CI = 1.24-3.90, FDR corrected p-value = 0.049) had an association with the increased risk of schizophrenia, while daytime dozing (OR = 4.44, 95%CI = 1.20-16.41, corrected p-value = 0.088)and napping during the day (OR = 2.11, 95%CI = 1.11-4.02, FDR corrected p-value = 0.088) had a suggestive association with an increased risk of schizophrenia. Longer sleep duration had a suggestive association with a decreased risk of ADHD (OR = 0.66, 95%CI = 0.42-0.93, FDR corrected p-value = 0.088). Conclusion This study provides further evidence for a complex relationship between sleep and psychiatric disorders. Our findings highlight the potential benefits of addressing sleep problems in the prevention of psychiatric disorders.
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Affiliation(s)
- Pei Chen
- College of Nursing, University of Illinois Chicago, Chicago, IL, United States
| | - Jiuhang Qin
- Department of Mathematics, Statistics, and Computer Science, University of Illinois Chicago, Chicago, IL, United States
| | - Yueying Wang
- School of Nursing, Shanghai Jiao Tong University, Shanghai, China
| | - Jinjin Yuan
- School of Nursing, Shanghai Jiao Tong University, Shanghai, China
| | - Yang Pan
- Division of Nephrology, Department of Medicine, College of Medicine, University of Illinois Chicago, Chicago, IL, United States
| | - Bingqian Zhu
- School of Nursing, Shanghai Jiao Tong University, Shanghai, China
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21
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Luo Z, Wang T, Wu W, Yan S, Chen L. Association between weekend catch-up sleep and depressive symptoms in American adults: Finding from NHANES 2017-2020. J Affect Disord 2024; 354:36-43. [PMID: 38452941 DOI: 10.1016/j.jad.2024.03.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Revised: 02/28/2024] [Accepted: 03/04/2024] [Indexed: 03/09/2024]
Abstract
BACKGROUND The effect of weekend catch-up sleep (WCS) on depressive symptoms is inconsistent among different populations, with limited evidence in Americans. Therefore, we aimed to investigate the association between WCS and depressive symptoms in American adults. METHODS We recruited 7719 participants from the National Health and Nutrition Examination Survey (NHANES) 2017-2020. Information on sleep duration and depressive symptoms were assessed by several self-reported questions and Patient Health Questionnaire-9 (PHQ-9), respectively. Then, WCS duration was calculated as weekend sleep duration minus weekday sleep duration, and WCS was further defined as WCS duration >0 h. Survey designed regression analyses were used to assess the association of WCS and depressive symptoms. RESULTS In fully adjusted multivariate logistic regression models, the odds ratio (95 % confidence interval) for depressive symptoms and the β (95 % confidence interval) for PHQ-9 score in response to WCS were 0.746 (0.462, 1.204; P = 0.218) and -0.429 (-0.900, 0.042; P = 0.073), respectively. Besides, the smooth relationship presented L-shaped, and only WCS duration of 0-2 h was statistically significantly associated with depressive symptoms or PHQ-9 score. Subgroup analyses showed that the negative associations were stronger among men, adults younger than 65 years, and those with short weekday sleep duration (P for interaction <0.05). LIMITATIONS The cross-sectional design limits the capability for causal relationship between WCS and depressive symptoms. CONCLUSIONS This study suggests that moderate WCS is associated with reduced odds of depressive symptoms, which provides additional epidemiological evidence for the effects of sleep on depressive symptoms.
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Affiliation(s)
- Zhicheng Luo
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Hunan 410078, China; Department of Cancer Prevention and Control, Hunan Cancer Hospital, the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, Hunan, PR China
| | - Tingting Wang
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Hunan 410078, China
| | - Wenqiong Wu
- Department of Radiotherapy, Hunan Cancer Hospital, the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, Hunan, PR China
| | - Shipeng Yan
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Hunan 410078, China; Department of Cancer Prevention and Control, Hunan Cancer Hospital, the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, Hunan, PR China.
| | - Lizhang Chen
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Hunan 410078, China.
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22
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Crouse JJ, Park SH, Hermens DF, Lagopoulos J, Park M, Shin M, Carpenter JS, Scott EM, Hickie IB. Chronotype and subjective sleep quality predict white matter integrity in young people with emerging mental disorders. Eur J Neurosci 2024; 59:3322-3336. [PMID: 38650167 DOI: 10.1111/ejn.16351] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Revised: 12/13/2023] [Accepted: 03/18/2024] [Indexed: 04/25/2024]
Abstract
Protecting brain health is a goal of early intervention. We explored whether sleep quality or chronotype could predict white matter (WM) integrity in emerging mental disorders. Young people (N = 364) accessing early-intervention clinics underwent assessments for chronotype, subjective sleep quality, and diffusion tensor imaging. Using machine learning, we examined whether chronotype or sleep quality (alongside diagnostic and demographic factors) could predict four measures of WM integrity: fractional anisotropy (FA), and radial, axial, and mean diffusivities (RD, AD and MD). We prioritised tracts that showed a univariate association with sleep quality or chronotype and considered predictors identified by ≥80% of machine learning (ML) models as 'important'. The most important predictors of WM integrity were demographics (age, sex and education) and diagnosis (depressive and bipolar disorders). Subjective sleep quality only predicted FA in the perihippocampal cingulum tract, whereas chronotype had limited predictive importance for WM integrity. To further examine links with mood disorders, we conducted a subgroup analysis. In youth with depressive and bipolar disorders, chronotype emerged as an important (often top-ranking) feature, predicting FA in the cingulum (cingulate gyrus), AD in the anterior corona radiata and genu of the corpus callosum, and RD in the corona radiata, anterior corona radiata, and genu of corpus callosum. Subjective quality was not important in this subgroup analysis. In summary, chronotype predicted altered WM integrity in the corona radiata and corpus callosum, whereas subjective sleep quality had a less significant role, suggesting that circadian factors may play a more prominent role in WM integrity in emerging mood disorders.
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Affiliation(s)
- Jacob J Crouse
- Brain and Mind Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Shin Ho Park
- Brain and Mind Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Daniel F Hermens
- Thompson Institute, University of the Sunshine Coast, Sunshine Coast, Queensland, Australia
| | - Jim Lagopoulos
- Thompson Institute, University of the Sunshine Coast, Sunshine Coast, Queensland, Australia
| | - Minji Park
- Brain and Mind Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Mirim Shin
- Brain and Mind Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Joanne S Carpenter
- Brain and Mind Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Elizabeth M Scott
- Brain and Mind Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Ian B Hickie
- Brain and Mind Centre, The University of Sydney, Sydney, New South Wales, Australia
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23
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Fan X, Ma Y, Zhang J, Lin X, Sun B, Rosenheck R, He H. Sleep disturbance and suicidal ideation among youth with depression. J Affect Disord 2024; 354:232-238. [PMID: 38461901 DOI: 10.1016/j.jad.2024.03.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Revised: 01/30/2024] [Accepted: 03/07/2024] [Indexed: 03/12/2024]
Abstract
BACKGROUND Sleep disturbance may exacerbate the risk of suicide among youth with depression, but whether this association is independent of psychopathology requires further study. METHODS This cross-sectional study included 576 youths (13-25 years old) recruited from January 2022 to May 2023. The patients were first divided into two groups by the presence of suicidal ideation according to the Columbia-Suicide Severity Scale (C-SSRS). Sleep quality was assessed by the Athens Insomnia Scale (AIS) and mental health with the Hamilton Depression Rating Scale (HAMD) and Hamilton Anxiety Rating Scale (HAMA). Logistic regression was conducted to analyze the association between sleep disturbance and suicidal ideation, adjusted for depressive symptoms severity. RESULTS The suicidal ideation group exhibited more severe sleep disturbances, anxiety symptoms, and depressive symptoms than the non-suicidal ideation group. Pearson correlation showed that sleep disturbance (AIS) was significantly correlated with the severity of anxiety symptoms, depressive symptoms, and suicidal ideation. Logistic regression analysis revealed that the AIS factor "daytime dysfunction" (β = 0.145; OR = 1.156, 95 % CI: 1.02, 1.309; p = 0.023) was significantly associated with suicidal ideation after adjusting for demographic characteristics and depressive symptoms severity. LIMITATIONS Due to the cross-sectional nature of the data, no causal inference can be made regarding the observed associations between sleep disturbance and suicidal ideation. CONCLUSION Sleep disturbance, particularly in the realm of daytime dysfunction, is associated with increased suicidal ideation among depressed youth. Clinicians need to assess and manage sleep disturbance in the context of suicidal ideation for young depression patients.
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Affiliation(s)
- Xuefei Fan
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China; The 3rd People Hospital of Foshan, Foshan, China
| | - Yarong Ma
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Jie Zhang
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Xiaoming Lin
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Bin Sun
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Robert Rosenheck
- Department of Psychiatry, Yale Medical School, New Haven, CT, USA
| | - Hongbo He
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China.
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24
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Yin H, Lu B, Zeng K, Li Y, Ma J. Prevalence and factors associated with dyslipidemia in patients with first hospitalization for major depressive disorder: a large sample cross-sectional study. BMC Psychiatry 2024; 24:396. [PMID: 38802840 PMCID: PMC11131298 DOI: 10.1186/s12888-024-05848-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/20/2023] [Accepted: 05/14/2024] [Indexed: 05/29/2024] Open
Abstract
BACKGROUND Major depressive disorder (MDD) is a severe mental illness with high relapse rates and high mortality. Depression not only severely limits psychosocial functioning but also reduces quality of life. It can also negatively affect patients' clinical parameters, including lipid metabolism markers. This study aimed to investigate the prevalence and risk factors of hyperlipidemia (HL) in patients with MDD who were hospitalized for the first time. METHODS In this study, we enrolled 981 patients with MDD who were hospitalized for the first time, collected their demographic data and biochemical indicators, and evaluated their clinical symptoms. We divided the patients into HL and non-HL subgroups based on whether they had co-morbid HL. We compared whether there were significant differences between the two groups regarding demographics and general clinical information. RESULTS A total of 708 of 981 MDD patients were described as being in the hyperlipidemic group, with an incidence of 72.17%. Clinical Global Impression Scale-Severity of Illness (CGI-SI) score and Hamilton Depression Scale (HAMD) score are risk factors for co-morbid HL in patients with MDD. The area under the ROC curve for the CGI-SI and HAMD score and their combined discriminatory ability was approximately 63%, 67%, and 68%, respectively. CONCLUSION The prevalence of HL was high in patients with MDD who were first hospitalized; Higher HAMD score and CGI-SI score were risk factors for the development of HL in MDD; The HAMD score and the CGI-SI score are predictive of the severity of HL.
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Affiliation(s)
- Huimin Yin
- Department of Psychiatry, Wuhan Mental Health Center, No. 89, Gongnongbing Road, Wuhan, Hubei Province, China
| | - Baili Lu
- Department of Psychiatry, Wuhan Mental Health Center, No. 89, Gongnongbing Road, Wuhan, Hubei Province, China
| | - Kuan Zeng
- Department of Psychiatry, Wuhan Mental Health Center, No. 89, Gongnongbing Road, Wuhan, Hubei Province, China
| | - Yi Li
- Department of Psychiatry, Wuhan Mental Health Center, No. 89, Gongnongbing Road, Wuhan, Hubei Province, China.
| | - Jun Ma
- Department of Psychiatry, Renmin Hospital of Wuhan University, No. 99, Zhangzhidong Road, Wuhan, Hubei Province, China.
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25
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Akbar Z, Shi Z. Unfavorable Mealtime, Meal Skipping, and Shiftwork Are Associated with Circadian Syndrome in Adults Participating in NHANES 2005-2016. Nutrients 2024; 16:1581. [PMID: 38892514 PMCID: PMC11173982 DOI: 10.3390/nu16111581] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2024] [Revised: 05/08/2024] [Accepted: 05/11/2024] [Indexed: 06/21/2024] Open
Abstract
The concept of Circadian Syndrome (CircS) aims to emphasize the circadian disruptions underlying cardiometabolic conditions. Meal timing and shiftwork may disrupt circadian rhythms, increasing cardiometabolic risk. This study aimed to assess the associations of meal timing, meal skipping, and shiftwork with CircS in US adults and explore effect modifications by sociodemographic and lifestyle factors. CircS was defined using Metabolic Syndrome components in addition to short sleep and depression symptoms. Data from 10,486 participants of the National Health and Nutrition Examination Survey 2005-2016 were analyzed cross-sectionally. Mealtime was assessed by calculating the midpoint of intake between breakfast and dinner and dichotomizing it into favorable mealtime (between 12:30 and 13:15) and unfavorable mealtime using a data-driven approach. Meal skippers were categorized separately. Participants working evening, night, or rotating shifts were classified as shift workers. In the multivariable logistic regression analysis, an unfavorable mealtime, meal skipping, and shiftwork were associated with a higher likelihood of CircS (OR = 1.24; 95%CI 1.07-1.44, OR = 1.39; 95%CI 1.16-1.67, and OR = 1.37; 95%CI 1.01-1.87, respectively). Subgroup analyses revealed no significant interactions between meal timing, meal skipping, or shiftwork and socioeconomic status or lifestyle regarding CircS. These findings highlight the importance of aligning mealtimes with circadian rhythms for improved circadian health.
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Affiliation(s)
| | - Zumin Shi
- Human Nutrition Department, College of Health Sciences, QU Health, Qatar University, Doha P.O. Box 2713, Qatar;
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Liu HL, Sun J, Meng SF, Sun N. Physiotherapy for patients with depression: Recent research progress. World J Psychiatry 2024; 14:635-643. [PMID: 38808078 PMCID: PMC11129148 DOI: 10.5498/wjp.v14.i5.635] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/19/2024] [Revised: 03/15/2024] [Accepted: 04/18/2024] [Indexed: 05/16/2024] Open
Abstract
Depression, a common mental illness, seriously affects the health of individuals and has deleterious effects on society. The prevention and treatment of depression has drawn the attention of many researchers and has become an important social issue. The treatment strategies for depression include drugs, psychotherapy, and physiotherapy. Drug therapy is ineffective in some patients and psychotherapy has treatment limitations. As a reliable adjuvant therapy, physiotherapy compensates for the shortcomings of drug and psychotherapy and effectively reduces the disease recurrence rate. Physiotherapy is more scientific and rigorous, its methods are diverse, and to a certain extent, provides more choices for the treatment of depression. Physiotherapy can relieve symptoms in many ways, such as by improving the levels of neurobiochemical molecules, inhibiting the inflammatory response, regulating the neuroendocrine system, and increasing neuroplasticity. Physiotherapy has biological effects similar to those of antidepressants and may produce a superimposed impact when combined with other treatments. This article summarizes the findings on the use of physiotherapy to treat patients with depression over the past five years. It also discusses several methods of physiotherapy for treating depression from the aspects of clinical effect, mechanism of action, and disadvantages, thereby serving as a reference for the in-depth development of physiotherapy research.
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Affiliation(s)
- Hui-Ling Liu
- Department of Mental Health, First Clinical Medical College of Shanxi Medical University, Taiyuan 030000, Shanxi Province, China
- Department of Rehabilitation, First Hospital of Shanxi Medical University, Taiyuan 030000, Shanxi Province, China
| | - Jing Sun
- Department of Rehabilitation, First Hospital of Shanxi Medical University, Taiyuan 030000, Shanxi Province, China
| | - Shi-Feng Meng
- Department of Rehabilitation, First Hospital of Shanxi Medical University, Taiyuan 030000, Shanxi Province, China
| | - Ning Sun
- Department of Mental Health, First Hospital of Shanxi Medical University, Taiyuan 030000, Shanxi Province, China
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Zhang T, Cheng P, Ma X, Yu X. Influence of circadian rhythm and sleep schedules on depressive symptoms among adolescents in China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL HEALTH RESEARCH 2024:1-9. [PMID: 38753525 DOI: 10.1080/09603123.2024.2352076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/30/2024] [Accepted: 04/30/2024] [Indexed: 05/18/2024]
Abstract
Circadian rhythm (24-hour period of physiological and behavioral changes) is the basis of the overall health, including mood and health. This study aimed to explore the influence of circadian rhythm and sleep schedules on depressive symptoms in Chinese adolescents. In this cross-sectional study, 841 middle school students were recruited and divided into two groups (depressive group, DG, n = 210, and control group, n = 631) depending on the total score of The Center for Epidemiological Studies Depression Scale for Children (CES-DC). The circadian rhythm and sleep quality among adolescents were evaluated by using the Biological Rhythms Interview of Assessment in Neuropsychiatry (BRIAN) and Self-rating scale of Sleep (SRSS) scales. Furthermore, correlation analysis and logistic regression analysis were used to determine the effects of demographic factors, sleeping arrangement, sleep quality, and circadian rhythm on depressive symptoms. The DG group's CES-DC, BRIAN and SRSS scores were significantly higher than the control group's. Higher scores of BRIAN and SRSS were risk factors for depressive symptoms in Chinese adolescents. Attending a day school and waking up later on weekends may be weak protective factors. Our results suggest that circadian rhythm disturbance, sleep quality, and sleeping arrangement have a significant influence on depressive symptoms among adolescents in China.
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Affiliation(s)
- Ting Zhang
- School of Medicine, Tongji University, Shanghai, China
- Department of General Psychiatry, The Affiliated Mental Health Center of Jiangnan University, Wuxi, Jiangsu, China
| | - Peipei Cheng
- Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Xiquan Ma
- Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Xiaodan Yu
- Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- MOE-Shanghai Key Lab of Children's Environmental Health, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
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Yuan X, Ou C, Li X, Zhuang Z, Chen Y. The skin circadian clock gene F3 as a potential marker for psoriasis severity and its bidirectional relationship with IL-17 signaling in keratinocytes. Int Immunopharmacol 2024; 132:111993. [PMID: 38565044 DOI: 10.1016/j.intimp.2024.111993] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2024] [Revised: 03/21/2024] [Accepted: 03/30/2024] [Indexed: 04/04/2024]
Abstract
OBJECTIVE Psoriasis is an immune-mediated skin disease where the IL-17 signaling pathway plays a crucial role in its development. Chronic circadian rhythm disorder in psoriasis pathogenesis is gaining more attention. The relationship between IL and 17 signaling pathway and skin clock genes remains poorly understood. METHODS GSE121212 with psoriatic lesion and healthy controls was used as the exploration cohort for searching analysis. Datasets GSE54456, GSE13355, GSE14905, GSE117239, GSE51440, and GSE137218 were applied to validation analysis. Single-cell RNA sequencing (scRNA-seq) dataset GSE173706 was used to explore the F3 expression and related pathway activities in single-cell levels. Through intersecting with high-expression DEGs, F3 was selected as the signature skin circadian gene in psoriasis for further investigation. Functional analyses, including correlation analyses, prediction of transcription factors, protein-protein interaction, and single gene GSEA to explore the potential roles of F3. ssGSEA algorithm was performed to uncover the immune-related characteristics of psoriasis. We further explored F3 expression in the specific cell population in scRNA-seq dataset, besides this, AUCell analysis was performed to explore the pathway activities and the results were further compared between the specific cell cluster. Immunohistochemistry experiment, RT-qPCR was used to validate the location and expression of F3, small interfering RNA (siRNA) transfection experiment in HaCaT, and transcriptome sequencing analysis were applied to explore the potential function of F3. RESULTS F3 was significantly down-regulated in psoriasis and interacted with IL-17 signaling pathway. Low expression of F3 could upregulate the receptor of JAK-STAT signaling, thereby promoting keratinocyte inflammation. CONCLUSION Our research revealed a bidirectional link between the skin circadian gene F3 and the IL-17 signaling pathway in psoriasis, suggesting that F3 may interact with the IL-17 pathway by activating JAK-STAT within keratinocytes and inducing abnormal intracellular inflammation.
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Affiliation(s)
- Xiuqing Yuan
- Dermatology Hospital of Southern Medical University, Guangzhou, China
| | - Caixin Ou
- Dermatology Hospital of Southern Medical University, Guangzhou, China
| | - Xinhui Li
- Dermatology Hospital of Southern Medical University, Guangzhou, China
| | - Zhe Zhuang
- Dermatology Hospital of Southern Medical University, Guangzhou, China
| | - Yongfeng Chen
- Dermatology Hospital of Southern Medical University, Guangzhou, China.
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Xin M, Bi F, Wang C, Huang Y, Xu Y, Liang S, Cai T, Xu X, Dong L, Li T, Wang X, Fang Y, Xu Z, Wang C, Wang M, Song X, Zheng Y, Sun W, Li L. The circadian rhythm: A new target of natural products that can protect against diseases of the metabolic system, cardiovascular system, and nervous system. J Adv Res 2024:S2090-1232(24)00133-4. [PMID: 38631431 DOI: 10.1016/j.jare.2024.04.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2023] [Revised: 03/17/2024] [Accepted: 04/07/2024] [Indexed: 04/19/2024] Open
Abstract
BACKGROUND The treatment of metabolic system, cardiovascular system, and nervous system diseases remains to be explored. In the internal environment of organisms, the metabolism of substances such as carbohydrates, lipids and proteins (including biohormones and enzymes) exhibit a certain circadian rhythm to maintain the energy supply and material cycle needed for the normal activities of organisms. As a key factor for the health of organisms, the circadian rhythm can be disrupted by pathological conditions, and this disruption accelerates the progression of diseases and results in a vicious cycle. The current treatments targeting the circadian rhythm for the treatment of metabolic system, cardiovascular system, and nervous system diseases have certain limitations, and the identification of safer and more effective circadian rhythm regulators is needed. AIM OF THE REVIEW To systematically assess the possibility of using the biological clock as a natural product target for disease intervention, this work reviews a range of evidence on the potential effectiveness of natural products targeting the circadian rhythm to protect against diseases of the metabolic system, cardiovascular system, and nervous system. This manuscript focuses on how natural products restore normal function by affecting the amplitude of the expression of circadian factors, sleep/wake cycles and the structure of the gut microbiota. KEY SCIENTIFIC CONCEPTS OF THE REVIEW This work proposes that the circadian rhythm, which is regulated by the amplitude of the expression of circadian rhythm-related factors and the sleep/wake cycle, is crucial for diseases of the metabolic system, cardiovascular system and nervous system and is a new target for slowing the progression of diseases through the use of natural products. This manuscript provides a reference for the molecular modeling of natural products that target the circadian rhythm and provides a new perspective for the time-targeted action of drugs.
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Affiliation(s)
- Meiling Xin
- School of Life Sciences and Medicine, Shandong University of Technology, Zibo, Shandong 255000, China; National Institute of TCM Constitution and Preventive Medicine, Beijing University of Chinese Medicine, Beijing 100000, China
| | - Fangjie Bi
- Heart Center, Zibo Central Hospital, Zibo, Shandong 255000, China
| | - Chao Wang
- School of Life Sciences and Medicine, Shandong University of Technology, Zibo, Shandong 255000, China
| | - Yuhong Huang
- School of Life Sciences and Medicine, Shandong University of Technology, Zibo, Shandong 255000, China
| | - Yujia Xu
- Department of Echocardiography, Zibo Central Hospital, Zibo, Shandong 255000, China
| | - Shufei Liang
- School of Life Sciences and Medicine, Shandong University of Technology, Zibo, Shandong 255000, China
| | - Tianqi Cai
- School of Life Sciences and Medicine, Shandong University of Technology, Zibo, Shandong 255000, China
| | - Xiaoxue Xu
- School of Life Sciences and Medicine, Shandong University of Technology, Zibo, Shandong 255000, China
| | - Ling Dong
- School of Life Sciences and Medicine, Shandong University of Technology, Zibo, Shandong 255000, China
| | - Tianxing Li
- National Institute of TCM Constitution and Preventive Medicine, Beijing University of Chinese Medicine, Beijing 100000, China; Institute of Basic Theory for Chinese Medicine, China Academy of Chinese Medical Sciences, Beijing 100700, China
| | - Xueke Wang
- National Institute of TCM Constitution and Preventive Medicine, Beijing University of Chinese Medicine, Beijing 100000, China; The Second Clinical Medical College, Henan University of Chinese Medicine, Zhengzhou 450046, China
| | - Yini Fang
- National Institute of TCM Constitution and Preventive Medicine, Beijing University of Chinese Medicine, Beijing 100000, China; Basic Medical College, Zhejiang Chinese Medical University, Hangzhou 310053 China
| | - Zhengbao Xu
- School of Life Sciences and Medicine, Shandong University of Technology, Zibo, Shandong 255000, China
| | - Chao Wang
- School of Life Sciences and Medicine, Shandong University of Technology, Zibo, Shandong 255000, China
| | - Meng Wang
- School of Life Sciences and Medicine, Shandong University of Technology, Zibo, Shandong 255000, China
| | - Xinhua Song
- School of Life Sciences and Medicine, Shandong University of Technology, Zibo, Shandong 255000, China.
| | - Yanfei Zheng
- National Institute of TCM Constitution and Preventive Medicine, Beijing University of Chinese Medicine, Beijing 100000, China.
| | - Wenlong Sun
- School of Life Sciences and Medicine, Shandong University of Technology, Zibo, Shandong 255000, China.
| | - Lingru Li
- National Institute of TCM Constitution and Preventive Medicine, Beijing University of Chinese Medicine, Beijing 100000, China.
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Yang H, Luan L, Xu J, Xu X, Tang X, Zhang X. Prevalence and correlates of sleep disturbance among adolescents in the eastern seaboard of China. BMC Public Health 2024; 24:1003. [PMID: 38600538 PMCID: PMC11008010 DOI: 10.1186/s12889-024-18564-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Accepted: 04/10/2024] [Indexed: 04/12/2024] Open
Abstract
BACKGROUND Sleep disturbances are serious public health issues that warrant increased attention, especially in adolescents. The aim of this study was to investigate the prevalence and factors associated with sleep disorders among urban adolescents in China. METHODS This study utilized an online survey to assess the demographic characteristics and mental health status of secondary school students in Lianyungang City. The Patient Health Questionnaire-9 (PHQ-9) was used to evaluate sleep disturbances in adolescents. The seven-item Generalized Anxiety Disorder (GAD-7) assessed anxiety symptoms, and the Perceived Social Support Scale (PSSS) was used to measure perceived social support. RESULTS Among 3443 adolescents, the prevalence of sleep disorders were 10.8%, with significantly higher proportions of sleep disorders (13.7% VS 8.3%, P < 0.001) among female adolescents when compared to males. Binary regression analysis revealed that anxiety symptoms (OR = 1.305, 95% CI: 1.269-1.342, P < 0.001) was risk factor for sleep disturbances, and significant other support (OR = 0.944, 95% CI: 0.896-0.994, P = 0.028) and good annual household income (OR = 0.616, 95% CI: 0.394-0.963, P = 0.034) were protective factors. Furthermore, multinomial logistic regression analysis showed that age, sex, and anxiety symptoms were associated with an elevated risk of experiencing more frequent sleep disturbances (all P < 0.05). CONCLUSIONS We have found that 10.8% of adolescents experience sleep disorders, and it is evident that various factors can influence healthy sleeping. These results underscore the significance of addressing these factors to enhance sleep health among this population.
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Affiliation(s)
- Haidong Yang
- Department of Psychiatry, The Fourth People's Hospital of Lianyungang, The Affiliated KangDa College of Nanjing Medical University, 222003, Lianyungang, P.R. China
- Suzhou Psychiatric Hospital, Institute of Mental Health, The Affiliated Guangji Hospital of Soochow University, 215137, Suzhou, P.R. China
| | - Lingshu Luan
- Department of Psychiatry, The Fourth People's Hospital of Lianyungang, The Affiliated KangDa College of Nanjing Medical University, 222003, Lianyungang, P.R. China
- Xuzhou Medical University, 221004, Xuzhou, P.R. China
| | - Jiuli Xu
- Department of Psychiatry, The Fourth People's Hospital of Lianyungang, The Affiliated KangDa College of Nanjing Medical University, 222003, Lianyungang, P.R. China
- Xuzhou Medical University, 221004, Xuzhou, P.R. China
| | - Xingran Xu
- Department of Psychiatry, The Fourth People's Hospital of Lianyungang, The Affiliated KangDa College of Nanjing Medical University, 222003, Lianyungang, P.R. China
- Xuzhou Medical University, 221004, Xuzhou, P.R. China
| | - Xiaowei Tang
- Department of Psychiatry, Affiliated WuTaiShan Hospital of Medical College of Yangzhou University, 225003, Yangzhou, P. R. China.
| | - Xiaobin Zhang
- Suzhou Psychiatric Hospital, Institute of Mental Health, The Affiliated Guangji Hospital of Soochow University, 215137, Suzhou, P.R. China.
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Dougherty EN, Bottera AR, Haedt-Matt AA. Dysphoric mood may explain the relation between sleep reactivity and binge eating but not purging. JOURNAL OF AMERICAN COLLEGE HEALTH : J OF ACH 2024:1-5. [PMID: 38579122 DOI: 10.1080/07448481.2024.2336998] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Accepted: 03/22/2024] [Indexed: 04/07/2024]
Abstract
Objective: This study investigated whether sleep reactivity (i.e., a propensity to experience sleep disturbances when stressed) relates to eating disorder behavioral symptoms indirectly through dysphoric mood in a sample of college students. Participants: One hundred and ninety-eight college students (51.5% female). Methods: Participants completed self-report measures of dysphoric mood, eating disorder behavioral symptoms, and sleep reactivity. Results: Higher sleep reactivity was associated with greater binge-eating symptoms indirectly through higher dysphoric mood. Higher sleep reactivity was associated with greater purging symptoms; however, this association was not explained by dysphoric mood. Conclusions: Findings support the relevance of sleep reactivity to binge eating and purging and suggest that sleep reactivity relates to binge-eating symptoms indirectly through dysphoric mood. If replicated in prospective data, targeting stress-induced sleep and mood disturbances in college students may reduce risk for binge eating.
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Affiliation(s)
- Elizabeth N Dougherty
- Department of Psychiatry and Behavioral Neuroscience, The University of Chicago, Chicago, Illinois, USA
| | | | - Alissa A Haedt-Matt
- Department of Psychology, Illinois Institute of Technology, Chicago, Illinois, USA
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Chen J, Chan NY, Li CT, Chan JWY, Liu Y, Li SX, Chau SWH, Leung KS, Heng PA, Lee TMC, Li TMH, Wing YK. Multimodal digital assessment of depression with actigraphy and app in Hong Kong Chinese. Transl Psychiatry 2024; 14:150. [PMID: 38499546 PMCID: PMC10948748 DOI: 10.1038/s41398-024-02873-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Revised: 03/06/2024] [Accepted: 03/12/2024] [Indexed: 03/20/2024] Open
Abstract
There is an emerging potential for digital assessment of depression. In this study, Chinese patients with major depressive disorder (MDD) and controls underwent a week of multimodal measurement including actigraphy and app-based measures (D-MOMO) to record rest-activity, facial expression, voice, and mood states. Seven machine-learning models (Random Forest [RF], Logistic regression [LR], Support vector machine [SVM], K-Nearest Neighbors [KNN], Decision tree [DT], Naive Bayes [NB], and Artificial Neural Networks [ANN]) with leave-one-out cross-validation were applied to detect lifetime diagnosis of MDD and non-remission status. Eighty MDD subjects and 76 age- and sex-matched controls completed the actigraphy, while 61 MDD subjects and 47 controls completed the app-based assessment. MDD subjects had lower mobile time (P = 0.006), later sleep midpoint (P = 0.047) and Acrophase (P = 0.024) than controls. For app measurement, MDD subjects had more frequent brow lowering (P = 0.023), less lip corner pulling (P = 0.007), higher pause variability (P = 0.046), more frequent self-reference (P = 0.024) and negative emotion words (P = 0.002), lower articulation rate (P < 0.001) and happiness level (P < 0.001) than controls. With the fusion of all digital modalities, the predictive performance (F1-score) of ANN for a lifetime diagnosis of MDD was 0.81 and 0.70 for non-remission status when combined with the HADS-D item score, respectively. Multimodal digital measurement is a feasible diagnostic tool for depression in Chinese. A combination of multimodal measurement and machine-learning approach has enhanced the performance of digital markers in phenotyping and diagnosis of MDD.
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Affiliation(s)
- Jie Chen
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
- Department of Psychiatry, Fujian Medical University Affiliated Fuzhou Neuropsychiatric Hospital, Fuzhou, China
| | - Ngan Yin Chan
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
| | - Chun-Tung Li
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
| | - Joey W Y Chan
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
| | - Yaping Liu
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
- Center for Sleep and Circadian Medicine, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Shirley Xin Li
- State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong SAR, China
- Sleep Research Clinic and Laboratory, Department of Psychology, The University of Hong Kong, Hong Kong SAR, China
| | - Steven W H Chau
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
| | - Kwong Sak Leung
- Department of Applied Data Science, Hong Kong Shue Yan University, Hong Kong SAR, China
- Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Pheng-Ann Heng
- Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Tatia M C Lee
- State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong SAR, China
- Department of Psychology, The University of Hong Kong, Hong Kong SAR, China
| | - Tim M H Li
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China.
| | - Yun-Kwok Wing
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China.
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Yu X, Tian S, Wu L, Zheng H, Liu M, Wu W. Construction of a depression risk prediction model for type 2 diabetes mellitus patients based on NHANES 2007-2014. J Affect Disord 2024; 349:217-225. [PMID: 38199400 DOI: 10.1016/j.jad.2024.01.083] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Revised: 12/31/2023] [Accepted: 01/04/2024] [Indexed: 01/12/2024]
Abstract
BACKGROUND Type 2 diabetes mellitus (T2DM) is a prevalent global health issue that has been linked to an increased risk of depression. The objective of this study was to construct a nomogram model for predicting depression in T2DM patients. METHODS A total of 4280 patients with T2DM were included in this study from the 2007-2014 NHANES. The entire dataset was split randomly into training set comprising 70 % of the data and a validation set comprising 30 % of the data. LASSO and multivariate logistic regression analyses identified predictors significantly associated with depression, and the nomogram was constructed with these predictors. The model was assessed by C-index, calibration curve, the hosmer-lemeshow test and decision curve analysis (DCA). RESULTS The nomogram model comprised of 9 predictors, namely age, gender, PIR, BMI, education attainment, smoking status, LDL-C, sleep duration and sleep disorder. The C-index of the training set was 0.780, while that of the validation set was 0.752, indicating favorable discrimination for the model. The model exhibited excellent clinical applicability and calibration in both the training and validation datasets. Moreover, the cut-off value of the nomogram is 223. LIMITATIONS This study has shortcomings in data collection, lack of external validation, and results non-extrapolation. CONCLUSIONS Our nomogram exhibits high clinical predictability, enabling clinicians to utilize this tool in identifying high-risk depressed patients with T2DM. It has the potential to decrease the incidence of depression and significantly improve the prognosis of patients with T2DM.
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Affiliation(s)
- Xinping Yu
- Department of Neurology, the Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, PR China; Institute of Neuroscience, Nanchang University, Nanchang 330006, PR China
| | - Sheng Tian
- Department of Neurology, the Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, PR China; Institute of Neuroscience, Nanchang University, Nanchang 330006, PR China
| | - Lanxiang Wu
- Department of Neurology, the Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, PR China; Institute of Neuroscience, Nanchang University, Nanchang 330006, PR China
| | - Heqing Zheng
- Department of Neurology, the Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, PR China; Institute of Neuroscience, Nanchang University, Nanchang 330006, PR China
| | - Mingxu Liu
- Department of Neurology, the Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, PR China; Institute of Neuroscience, Nanchang University, Nanchang 330006, PR China
| | - Wei Wu
- Department of Neurology, the Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, PR China; Institute of Neuroscience, Nanchang University, Nanchang 330006, PR China.
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Zhao J, Ji Y, Zuo Y, Zhang L, Ku C, Wang W, Wang P, Yang Y, Kang Y, Wang F. Association of Oxidative Stress and Proinflammation with Insomnia in Perimenopause. J Womens Health (Larchmt) 2024; 33:379-387. [PMID: 38394165 DOI: 10.1089/jwh.2023.0316] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/25/2024] Open
Abstract
Background: The levels of oxidative stress and proinflammatory factors in perimenopausal females increased, and they were also deeply troubled by insomnia. The occurrence of insomnia is related to the changes of oxidative stress and inflammation levels in the body. Perimenopausal insomnia may be related to mild systemic inflammation, and oxidative stress can promote chronic inflammation. However, the underlying mechanism behind the phenomenon is still unclear. Objective: The aim was to investigate whether the occurrence of perimenopausal insomnia disorder is related to higher levels of oxidative stress and inflammation in the body, and to explore the role of inducible nitric oxide synthase (iNOS) in perimenopausal insomnia. Methods: A total of 127 perimenopausal participants were recruited in this study. Participants with global scores of the Pittsburgh sleep quality index (PSQI) >7 were diagnosed with insomnia (n = 54). The patient health questionnaire-9 (PHQ-9) and generalized anxiety disorder-7 (GAD-7) were evaluated, and sociodemographic data were obtained. The serum concentrations of iNOS, interleukin 6 (IL6), and tumor necrosis factor α (TNFα) were measured using commercial assays. Results: In the insomnia group, IL6 levels were positively correlated with scores of component 5 and component 7 of PSQI, respectively. PHQ-9 and GAD-7 were positively correlated with the global score of PSQI component 7 and PSQI, respectively; PHQ-9 was positively correlated with the global score of PSQI component 1. Finally, PHQ-9, iNOS, and IL6 were found to be independent predictors of perimenopausal insomnia using logistic regression. Conclusions: Moderate oxidative stress caused by a certain concentration of iNOS plays a protective role in perimenopausal insomnia, while proinflammation and depression are potential risk factors.
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Affiliation(s)
- Jing Zhao
- Medical Neurobiology Lab, Inner Mongolia Medical University, Huhhot, China
- Department of Basic Medical Teaching and Research, Ordos Institute of Technology, Ordos, China
| | - Yubo Ji
- Department of Medical Psychology, Inner Mongolia Medical University, Huhhot, China
| | - Yanni Zuo
- Physical Examination Center, Beijing Changping Hospital of Chinese Medicine, Beijing, China
| | - Long Zhang
- Department of Gynaecology and Obstetrics, the First Affiliated Hospital of Inner Mongolia Medical University, Huhhot, China
| | - Congwen Ku
- Dongzhimen Hospital, the First Affiliated Hospital of Beijing University of Chinese Medicine, Beijing, China
| | - Wenyan Wang
- School of Pharmacy, Yantai University, Yantai, China
| | - Pengxiang Wang
- Medical Neurobiology Lab, Inner Mongolia Medical University, Huhhot, China
| | - Yan Yang
- Urumqi Fourth People's Hospital, Urumqi, China
| | - Yimin Kang
- Medical Neurobiology Lab, Inner Mongolia Medical University, Huhhot, China
| | - Fan Wang
- Beijing Hui-Long-Guan Hospital, Peking University, Beijing, China
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Naveed M, Chao OY, Hill JW, Yang YM, Huston JP, Cao R. Circadian neurogenetics and its implications in neurophysiology, behavior, and chronomedicine. Neurosci Biobehav Rev 2024; 157:105523. [PMID: 38142983 PMCID: PMC10872425 DOI: 10.1016/j.neubiorev.2023.105523] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Revised: 12/13/2023] [Accepted: 12/20/2023] [Indexed: 12/26/2023]
Abstract
The circadian rhythm affects multiple physiological processes, and disruption of the circadian system can be involved in a range of disease-related pathways. The genetic underpinnings of the circadian rhythm have been well-studied in model organisms. Significant progress has been made in understanding how clock genes affect the physiological functions of the nervous system. In addition, circadian timing is becoming a key factor in improving drug efficacy and reducing drug toxicity. The circadian biology of the target cell determines how the organ responds to the drug at a specific time of day, thus regulating pharmacodynamics. The current review brings together recent advances that have begun to unravel the molecular mechanisms of how the circadian clock affects neurophysiological and behavioral processes associated with human brain diseases. We start with a brief description of how the ubiquitous circadian rhythms are regulated at the genetic, cellular, and neural circuit levels, based on knowledge derived from extensive research on model organisms. We then summarize the latest findings from genetic studies of human brain disorders, focusing on the role of human clock gene variants in these diseases. Lastly, we discuss the impact of common dietary factors and medications on human circadian rhythms and advocate for a broader application of the concept of chronomedicine.
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Affiliation(s)
- Muhammad Naveed
- Department of Biomedical Sciences, University of Minnesota Medical School, Duluth, MN 55812, USA; Department of Physiology and Pharmacology, College of Medicine and Life Sciences, The University of Toledo, Toledo, OH 43614, USA
| | - Owen Y Chao
- Department of Biomedical Sciences, University of Minnesota Medical School, Duluth, MN 55812, USA
| | - Jennifer W Hill
- Department of Physiology and Pharmacology, College of Medicine and Life Sciences, The University of Toledo, Toledo, OH 43614, USA
| | - Yi-Mei Yang
- Department of Biomedical Sciences, University of Minnesota Medical School, Duluth, MN 55812, USA; Department of Neuroscience, University of Minnesota Medical School, Minneapolis, MN 55455, USA
| | - Joseph P Huston
- Center for Behavioral Neuroscience, Institute of Experimental Psychology, Heinrich-Heine University, 40225 Düsseldorf, Germany
| | - Ruifeng Cao
- Department of Neuroscience and Cell Biology, Robert Wood Johnson Medical School, Rutgers University, Piscataway, NJ 08854, USA; Department of Neurology, Robert Wood Johnson Medical School, Rutgers University, Piscataway, NJ 08854, USA.
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Minaeva O, Schat E, Ceulemans E, Kunkels YK, Smit AC, Wichers M, Booij SH, Riese H. Individual-specific change points in circadian rest-activity rhythm and sleep in individuals tapering their antidepressant medication: an actigraphy study. Sci Rep 2024; 14:855. [PMID: 38195786 PMCID: PMC10776866 DOI: 10.1038/s41598-023-50960-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Accepted: 12/26/2023] [Indexed: 01/11/2024] Open
Abstract
Group-level studies showed associations between depressive symptoms and circadian rhythm elements, though whether these associations replicate at the within-person level remains unclear. We investigated whether changes in circadian rhythm elements (namely, rest-activity rhythm, physical activity, and sleep) occur close to depressive symptom transitions and whether there are differences in the amount and direction of circadian rhythm changes in individuals with and without transitions. We used 4 months of actigraphy data from 34 remitted individuals tapering antidepressants (20 with and 14 without depressive symptom transitions) to assess circadian rhythm variables. Within-person kernel change point analyses were used to detect change points (CPs) and their timing in circadian rhythm variables. In 69% of individuals experiencing transitions, CPs were detected near the time of the transition. No-transition participants had an average of 0.64 CPs per individual, which could not be attributed to other known events, compared to those with transitions, who averaged 1 CP per individual. The direction of change varied between individuals, although some variables showed clear patterns in one direction. Results supported the hypothesis that CPs in circadian rhythm occurred more frequently close to transitions in depression. However, a larger sample is needed to understand which circadian rhythm variables change for whom, and more single-subject research to untangle the meaning of the large individual differences.
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Affiliation(s)
- Olga Minaeva
- Department of Psychiatry (CC72), Interdisciplinary Center Psychopathology and Emotion Regulation (ICPE), University Medical Center Groningen, University of Groningen, P.O. Box 30.001, 9700 RB, Groningen, The Netherlands.
| | - Evelien Schat
- Faculty of Psychology and Educational Sciences, KU Leuven, Leuven, Belgium
| | - Eva Ceulemans
- Faculty of Psychology and Educational Sciences, KU Leuven, Leuven, Belgium
| | - Yoram K Kunkels
- Department of Psychiatry (CC72), Interdisciplinary Center Psychopathology and Emotion Regulation (ICPE), University Medical Center Groningen, University of Groningen, P.O. Box 30.001, 9700 RB, Groningen, The Netherlands
| | - Arnout C Smit
- Department of Psychiatry (CC72), Interdisciplinary Center Psychopathology and Emotion Regulation (ICPE), University Medical Center Groningen, University of Groningen, P.O. Box 30.001, 9700 RB, Groningen, The Netherlands
- Clinical Psychology, Faculty of Behavioral and Movement Sciences, VU Amsterdam, Amsterdam, The Netherlands
| | - Marieke Wichers
- Department of Psychiatry (CC72), Interdisciplinary Center Psychopathology and Emotion Regulation (ICPE), University Medical Center Groningen, University of Groningen, P.O. Box 30.001, 9700 RB, Groningen, The Netherlands
| | - Sanne H Booij
- Department of Psychiatry (CC72), Interdisciplinary Center Psychopathology and Emotion Regulation (ICPE), University Medical Center Groningen, University of Groningen, P.O. Box 30.001, 9700 RB, Groningen, The Netherlands
- Lentis, Center for Integrative Psychiatry, Groningen, The Netherlands
| | - Harriëtte Riese
- Department of Psychiatry (CC72), Interdisciplinary Center Psychopathology and Emotion Regulation (ICPE), University Medical Center Groningen, University of Groningen, P.O. Box 30.001, 9700 RB, Groningen, The Netherlands
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Chen R, Yan Y, Cheng X. Circadian light therapy and light dose for depressed young people: a systematic review and meta-analysis. Front Public Health 2024; 11:1257093. [PMID: 38259764 PMCID: PMC10800803 DOI: 10.3389/fpubh.2023.1257093] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Accepted: 12/06/2023] [Indexed: 01/24/2024] Open
Abstract
Background Empirical evidence has shown that light therapy (LT) can reduce depression symptoms by stimulating circadian rhythms. However, there is skepticism and inconclusive results, along with confusion regarding dosing. The purpose of this study is to quantify light as a stimulus for the circadian system and create a dose-response relationship that can help reduce maladies among adolescents and young adults (AYAs). This will provide a reference for light exposure and neural response, which are crucial in the neuropsychological mechanism of light intervention. The study also aims to provide guidance for clinical application. Methods The latest quantitative model of CLA (circadian light) and CSt,f (circadian stimulus) was adopted to quantify light dose for circadian phototransduction in youth depression-related light therapy. Articles published up to 2023 through Web of Science, Cochrane Library, Medline (OVID), CINAHL, APA PsycINFO, Embase, and Scholars were retrieved. A meta-analysis of 31 articles (1,031 subjects) was performed using Stata17.0, CMA3.0 (comprehensive meta-analysis version 3.0) software, and Python 3.9 platform for light therapy efficacy comparison and dose-response quantification. Results Under various circadian stimulus conditions (0.1 < CSt,f < 0.7) of light therapy (LT), malady reductions among AYAs were observed (pooled SMD = -1.59, 95%CI = -1.86 to -1.32; z = -11.654, p = 0.000; I2 = 92.8%), with temporal pattern (p = 0.044) and co-medication (p = 0.000) suggested as main heterogeneity sources. For the efficacy advantage of LT with a higher circadian stimulus that is assumed to be influenced by visualization, co-medication, disease severity, and time pattern, sets of meta-analysis among random-controlled trials (RCTs) found evidence for significant efficacy of circadian-active bright light therapy (BLT) over circadian-inactive dim red light (SMD = -0.65, 95% CI = -0.96 to -0.34; z = -4.101, p = 0.000; I2 = 84.9%) or circadian-active dimmer white light (SMD = -0.37, 95% CI = -0.68 to -0.06; z = -2.318, p = 0.02; I2 = 33.8%), whereas green-blue, circadian-active BLT showed no significant superiority over circadian-inactive red/amber light controls (SMD = -0.21, 95% CI = -0.45 to 0.04; z = -2.318, p = 0.099; I2 = 0%). Overall, circadian-active BLT showed a greater likelihood of clinical response than dim light controls, with increased superiority observed with co-medication. For pre-to-post-treatment amelioration and corresponding dose-response relationship, cumulative duration was found more influential than other categorical (co-medication, severity, study design) or continuous (CSt,f) variables. Dose-response fitting indicated that the therapeutic effect would reach saturation among co-medicated patients at 32-42 days (900-1,000 min) and 58-59 days (1,100-1,500 min) among non-medicated AYAs. When exerting high circadian stimulus of light therapy (0.6 < CSt,f < 0.7), there was a significantly greater effect size in 1,000-1,500 min of accumulative duration than <1,000 or >1,500 min of duration, indicating a threshold for practical guidance. Limitations The results have been based on limited samples and influenced by a small sample effect. The placebo effect could not be ignored. Conclusions Although the superiority of LT with higher circadian stimulus over dimmer light controls remains unproven, greater response potentials of circadian-active BLT have been noticed among AYAs, taking co-medication, disease severity, time pattern, and visual characteristics into consideration. The dose-response relationship with quantified circadian stimulus and temporal pattern had been elaborated under various conditions to support clinical depression treatment and LT device application in the post-pandemic era.
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Affiliation(s)
- Ranpeng Chen
- School of Architecture and Urban Planning, Chongqing University, Chongqing, China
| | - Yonghong Yan
- School of Architecture and Urban Planning, Chongqing University, Chongqing, China
- Key Laboratory of New Technology for Construction of Cities in Mountain Area, Chongqing University, Chongqing, China
| | - Xiang Cheng
- School of Architecture and Urban Planning, Chongqing University, Chongqing, China
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Yu Y, Feng Y, Xu S, Wilson A, Chen C, Ling X, Chen R, Wang Y. The influence of childhood trauma and chronotype on suicide attempts in Chinese emerging adults with severe depressive symptoms. BMC Psychol 2024; 12:12. [PMID: 38173011 PMCID: PMC10765889 DOI: 10.1186/s40359-023-01472-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Accepted: 11/29/2023] [Indexed: 01/05/2024] Open
Abstract
BACKGROUND Studies have investigated how adults with severe depressive symptoms are more likely to attempt suicide, and these adults often have traumatic experiences and chaotic sleep/wake rhythms. Thus, this study using Latent class analysis aimed to investigate the relationship between childhood trauma class, chronotype, and suicide attempts among emerging adults with severe depressive symptoms. METHODS This study was conducted among emerging adults with severe depressive symptoms covering 63 Universities in Jilin Province, China. A total of 1,225 emerging adults (mean age = 19.6 ± 1.78) constructed the final sample. In addition to measuring socio-demographic characteristics, the Childhood Trauma Questionnaire-Short Form, the Single-Item Chronotyping, and a single item for suicide attempts were used to evaluate childhood trauma, chronotype, and suicide attempts, respectively. Latent class analysis was applied to identify the classes of childhood trauma within emerging adults who had severe depressive symptoms. Hierarchical logistic regression models were run to investigate the effects of socio-demographic characteristics, chronotype, and childhood trauma class on suicide attempts. RESULTS Three latent classes were identified: the Low-risk for childhood trauma class, the Neglect class, and the High-risk for childhood abuse class. Those who suffered sexual, emotional, and physical abuse at the same time were divided into the High-risk for childhood abuse class, and were significantly more likely to experience suicide attempts than those in the Neglect class (OR = 1.97, 95%CI = 1.34-2.89, p < 0.001) and the Low-risk for childhood trauma class (OR = 2.28, 95% CI = 1.50-3.46, p < 0.001). In terms of chronotype, the results showed that the chaotic type was a risk factor for suicide attempts when compared with the evening type (OR = 0.46, 95%CI = 0.27-0.78, p < 0.01), the moderately active type (OR = 0.53, 95%CI = 0.31-0.89, p < 0.05), and the daytime type (OR = 0.42, 95%CI = 0.21-0.86, p < 0.05). Overall, the significant risk factors for suicide attempts included being female, living in an urban area, having experienced sexual, emotional, and physical abuse simultaneously, and having a chaotic chronotype. CONCLUSION Emerging adults suffering sexual, emotional, and physical abuse at the same time and identifying with chaotic chronotype showed a higher risk of attempting suicide. The findings provided a clinical reference to quickly identify those at high risk of suicide attempts among emerging adults with severe depressive symptoms.
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Affiliation(s)
- Yi Yu
- School of Psychology, Center for Studies of Psychological Application, and Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, China
| | - Yi Feng
- Mental Health Center, Central University of Finance and Economics, Beijing, China
- Faculty of Psychology, Beijing Normal University, Beijing, China
| | - Shicun Xu
- Northeast Asian Research Center, Jilin University, Changchun, China
- Department of Population, Resources and Environment, Northeast Asian Studies College, Jilin University, Changchun, China
- China Center for Aging Studies and Social-Economic Development, Jilin University, Changchun, China
| | - Amanda Wilson
- Division of Psychology, Faculty of Health and Life Sciences, De Montfort University, Leicester, UK
| | - Chang Chen
- School of Psychology, Center for Studies of Psychological Application, and Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, China
| | - Xi Ling
- School of Psychology, Center for Studies of Psychological Application, and Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, China
| | - Runsen Chen
- Vanke School of Public Health, Tsinghua University, Beijing, China
| | - Yuanyuan Wang
- School of Psychology, Center for Studies of Psychological Application, and Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, China.
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Aleksic V, Gazibara T, Jeremic B, Gasic S, Dotlic J, Stevanovic J, Arsovic A, Milic M. Associations of night eating with depressive symptoms among health sciences students living in a postconflict region. Bull Menninger Clin 2024; 88:29-47. [PMID: 38527101 DOI: 10.1521/bumc.2024.88.1.29] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/27/2024]
Abstract
Populations affected by war may experience food insecurity, which could predispose them to eating disorders. A cross-sectional study was conducted among health sciences students in Northern Kosovo from November 2018 to March 2019. Data were collected using the sociodemographic Night Eating Questionnaire (NEQ), the Beck Depression Inventory (BDI), and the Beck Anxiety Inventory (BAI). The study sample comprised 534 students. The prevalence of students who had at least mild depression (BDI ≥ 10) was 20.6%. More frequent night eating was consistently associated with a higher EDI score in the total sample as well as in the subgroup of students whose EDI score was ≥ 10. In addition, having poorer sleep quality and having more anxiety symptoms were associated with having stronger depressive symptoms. In a population of health sciences students who live in a post-conflict region, night eating is associated with having stronger depressive symptoms.
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Affiliation(s)
- Vojkan Aleksic
- PhD student in the Faculty of Medicine, University of Belgrade, Belgrade, Serbia. Also teaches in the secondary school for nursing, Cuprija, Serbia, where Biljana Jeremic is a teacher
| | - Tatjana Gazibara
- Institute of Epidemiology, Faculty of Medicine, University of Belgrade, Belgrade, Serbia
| | - Biljana Jeremic
- PhD student in the Faculty of Medicine, University of Belgrade, Belgrade, Serbia. Also teaches in the secondary school for nursing, Cuprija, Serbia, where Biljana Jeremic is a teacher
| | - Sanja Gasic
- The Institute of Physiology, Faculty of Medicine, University of Pristina, temporarily seated in Kosovska Mitrovica, Serbia
| | - Jelena Dotlic
- Clinic for Obstetrics and Gynecology, Clinical Center of Serbia, Belgrade, Serbia, and in the Faculty of Medicine, University of Belgrade, Belgrade, Serbia
| | - Jasmina Stevanovic
- Department of Epidemiology, Faculty of Medicine, University of Pristina temporarily seated in Kosovska Mitrovica, Mitrovica, Serbia, and the Institute of Public Health of Serbia, "Dr Milan Jovanovic Batut," Belgrade, Serbia
| | - Aleksandra Arsovic
- The Military Medical Academy of the University of Defense, Belgrade, Serbia
| | - Marija Milic
- Department of Epidemiology, Faculty of Medicine, University of Pristina temporarily seated in Kosovska Mitrovica, Mitrovica, Serbia, and the Institute of Public Health of Serbia, "Dr Milan Jovanovic Batut," Belgrade, Serbia
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Su Y, Qiu P, Cheng L, Zhang L, Peng W, Meng X. Catechin Protects against Lipopolysaccharide-induced Depressive-like Behaviour in Mice by Regulating Neuronal and Inflammatory Genes. Curr Gene Ther 2024; 24:292-306. [PMID: 38783529 DOI: 10.2174/0115665232261045231215054305] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Revised: 11/09/2023] [Accepted: 11/15/2023] [Indexed: 05/25/2024]
Abstract
BACKGROUND Many studies have suggested that tea has antidepressant effects; however, the underlying mechanism is not fully studied. As the main anti-inflammatory polyphenol in tea, catechin may contribute to the protective role of tea against depression. OBJECTIVE The objective of this study is to prove that catechin can protect against lipopolysaccharide (LPS)-induced depressive-like behaviours in mice, and then explore the underlying molecular mechanisms. METHODS Thirty-one C57BL/6J mice were categorized into the normal saline (NS) group, LPS group, catechin group, and amitriptyline group according to their treatments. Elevated Plus Maze (EPM), Tail Suspension Test (TST), and Open Field Test (OFT) were employed to assess depressive- like behaviours in mice. RNA sequencing (RNA-seq) and subsequent Bioinformatics analyses, such as differential gene analysis and functional enrichment, were performed on the four mouse groups. RESULTS In TST, the mice in the LPS group exhibited significantly longer immobility time than those in the other three groups, while the immobility times for the other three groups were not significantly different. Similarly in EPM, LPS-treated mice exhibited a significantly lower percentage in the time/path of entering open arms than the mice in the other three groups, while the percentages of the mice in the other three groups were not significantly different. In OFT, LPS-treated mice exhibited significantly lower percentages in the time/path of entering the centre area than those in the other three groups. The results suggested that the LPS-induced depression models were established successfully and catechin can reverse (LPS)-induced depressive-like behaviours in mice. Finally, RNA-seq analyses revealed 57 differential expressed genes (DEGs) between LPS and NS with 19 up-regulated and 38 down-regulated. Among them, 13 genes were overlapped with the DEGs between LPS and cetechin (in opposite directions), with an overlapping p-value < 0.001. The 13 genes included Rnu7, Lcn2, C4b, Saa3, Pglyrp1, Gpx3, Lyz2, S100a8, S100a9, Tmem254b, Gm14288, Hbb-bt, and Tmem254c, which might play key roles in the protection of catechin against LPS-induced depressive-like behaviours in mice. The 13 genes were significantly enriched in defense response and inflammatory response, indicating that catechin might work through counteracting changes in the immune system induced by LPS. CONCLUSION Catechin can protect mice from LPS-induced depressive-like behaviours through affecting inflammatory pathways and neuron-associated gene ontologies.
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Affiliation(s)
- Yanfang Su
- Department of Neurobiology, School of Basic Medical Sciences, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Ping Qiu
- Department of Neurobiology, School of Basic Medical Sciences, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Li Cheng
- Department of Neurobiology, School of Basic Medical Sciences, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Lijing Zhang
- Department of Neurobiology, School of Basic Medical Sciences, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Wenpeng Peng
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Xianfang Meng
- Department of Neurobiology, School of Basic Medical Sciences, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
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Yu B, Fu Y, Dong S, Reinhardt JD, Jia P, Yang S. Identifying potential action points for improving sleep and mental health among employees: A network analysis. Sleep Med 2024; 113:76-83. [PMID: 37995472 DOI: 10.1016/j.sleep.2023.11.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/02/2023] [Revised: 10/04/2023] [Accepted: 11/14/2023] [Indexed: 11/25/2023]
Abstract
BACKGROUND Mental health issues are severe public health problems, inevitably affected by, also affecting, sleep. We used network analysis to estimate the relationship among various aspects of sleep and mental health simultaneously, and identify potential action points for improving sleep and mental health among employees. METHODS We used data from the baseline survey of the Chinese Cohort of Working Adults that recruited 31,105 employees between October 1st and December 31st, 2021. The mental health included anxiety (measured by the Generalized Anxiety Disorder-7), depression (Patient Health Questionnaire-9]), loneliness (Short Loneliness Scale), well-being (Short Scales of Flourishing and Positive and Negative Feelings), and implicit health attitude (Lay Theory of Health Measures). Seven dimensions of sleep were assessed by the Pittsburgh Sleep Quality Index. An undirected network model and two directed network approaches, including Bayesian Directed Acyclic Graphs (DAGs) and Evidence Synthesis for Constructing-DAGs (ESC-DAGs), were applied to investigate associations between variables and identify key variables. RESULTS Depression, daytime dysfunction, and well-being were the "bridges" connecting the domains of sleep and mental health in the undirected network, and were in the main pathway connecting most variables in the Bayesian DAG. Anxiety constituted a gateway that activated other sleep and mental health variables, with sleep duration and implicit health attitude forming end points of the pathway. Similar directed pathways were confirmed in the ESC-DAG. CONCLUSION Our network study suggests anxiety, depression, well-being, and daytime dysfunction may be potential action points in preventing the development of poor sleep and mental health outcomes for employees.
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Affiliation(s)
- Bin Yu
- Institute for Disaster Management and Reconstruction, Sichuan University-The Hong Kong Polytechnic University, Chengdu, China; West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Yao Fu
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Shu Dong
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Jan D Reinhardt
- Institute for Disaster Management and Reconstruction, Sichuan University-The Hong Kong Polytechnic University, Chengdu, China; Department of Rehabilitation Medicine, Jiangsu Province Hospital/Nanjing Medical University First Affiliated Hospital, Nanjing, China; Swiss Paraplegic Research, Nottwil, Switzerland; Department of Health Sciences and Medicine, University of Lucerne, Lucerne, Switzerland
| | - Peng Jia
- School of Resource and Environmental Sciences, Wuhan University, Wuhan, China; School of Public Health, Wuhan University, Wuhan, China; International Institute of Spatial Lifecourse Health (ISLE), Wuhan University, Wuhan, China
| | - Shujuan Yang
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China; Department of Clinical Medical College & Affiliated Hospital of Chengdu University, Chengdu University, Chengdu, China; Respiratory Department, Chengdu Seventh People's Hospital, Chengdu, China; International Institute of Spatial Lifecourse Health (ISLE), Wuhan University, Wuhan, China.
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Verma AK, Khan MI, Ashfaq F, Rizvi SI. Crosstalk Between Aging, Circadian Rhythm, and Melatonin. Rejuvenation Res 2023; 26:229-241. [PMID: 37847148 DOI: 10.1089/rej.2023.0047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2023] Open
Abstract
Circadian rhythms (CRs) are 24-hour periodic oscillations governed by an endogenous circadian pacemaker located in the suprachiasmatic nucleus (SCN), which organizes the physiology and behavior of organisms. Circadian rhythm disruption (CRD) is also indicative of the aging process. In mammals, melatonin is primarily synthesized in the pineal gland and participates in a variety of multifaceted intracellular signaling networks and has been shown to synchronize CRs. Endogenous melatonin synthesis and its release tend to decrease progressively with advancing age. Older individuals experience frequent CR disruption, which hastens the process of aging. A profound understanding of the relationship between CRs and aging has the potential to improve existing treatments and facilitate development of novel chronotherapies that target age-related disorders. This review article aims to examine the circadian regulatory mechanisms in which melatonin plays a key role in signaling. We describe the basic architecture of the molecular circadian clock and its functional decline with age in detail. Furthermore, we discuss the role of melatonin in regulation of the circadian pacemaker and redox homeostasis during aging. Moreover, we also discuss the protective effect of exogenous melatonin supplementation in age-dependent CR disruption, which sheds light on this pleiotropic molecule and how it can be used as an effective chronotherapeutic medicine.
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Affiliation(s)
| | - Mohammad Idreesh Khan
- Department of Clinical Nutrition, College of Applied Health Sciences in Ar Rass, Qassim University, Ar Rass, Saudi Arabia
| | - Fauzia Ashfaq
- Clinical Nutrition Department, Applied Medical Sciences College, Jazan University, Jazan, Saudi Arabia
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Cheung FTW, Li X, Hui TK, Chan NY, Chan JW, Wing YK, Li SX. Circadian preference and mental health outcomes in youth: A systematic review and meta-analysis. Sleep Med Rev 2023; 72:101851. [PMID: 37793219 DOI: 10.1016/j.smrv.2023.101851] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Revised: 07/10/2023] [Accepted: 09/12/2023] [Indexed: 10/06/2023]
Abstract
Youth is a vulnerable developmental period associated with an increased preference for eveningness and risk for developing psychopathology. Growing evidence suggests a link between eveningness and poorer mental health outcomes, but the findings in the current literature are inconsistent, and a comprehensive synthesis of evidence in this area remains lacking. This meta-analysis aimed to 1) synthesise the existing evidence on the association between circadian preference and mental health outcomes in youths and 2) explore potential sleep-related factors that may moderate the relationship between circadian preference and mental health outcomes. A systematic search of five electronic databases resulted in 81 observational studies included in the review. Eveningness was found to be significantly associated with general mental health (r = 0.20), mood-related disturbances (r = 0.17), and anxiety problems (r = 0.13). The qualitative review also identified that eveningness was associated with greater risks for psychotic symptoms and maladaptive eating behaviours. These findings highlighted the need to consider circadian preference in the clinical management of youth mental health problems. Further research is needed to examine the efficacy of a circadian-focused intervention in the context of youth mental health.
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Affiliation(s)
- Forrest Tin Wai Cheung
- Sleep Research Clinic and Laboratory, Department of Psychology, The University of Hong Kong, Hong Kong.
| | - Xiao Li
- Sleep Research Clinic and Laboratory, Department of Psychology, The University of Hong Kong, Hong Kong
| | - Tsz Kwan Hui
- Sleep Research Clinic and Laboratory, Department of Psychology, The University of Hong Kong, Hong Kong
| | - Ngan Yin Chan
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong
| | - Joey Wy Chan
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong
| | - Yun Kwok Wing
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong
| | - Shirley Xin Li
- Sleep Research Clinic and Laboratory, Department of Psychology, The University of Hong Kong, Hong Kong; The State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong.
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Liu R, Liu L, Ren S, Wei C, Wang Y, Li D, Zhang W. The role of IL-33 in depression: a systematic review and meta-analysis. Front Psychiatry 2023; 14:1242367. [PMID: 38025419 PMCID: PMC10646299 DOI: 10.3389/fpsyt.2023.1242367] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Accepted: 10/17/2023] [Indexed: 12/01/2023] Open
Abstract
Depression has long been considered a disease involving immune hyperactivation. The impact of pro-inflammatory cytokines such as TNF-α, IL-1β, IL-6, and IL-8 on depression has been widely studied. However, the effect of IL-33, another pro-inflammatory cytokine, has been less researched. Currently, research on the correlation between IL-33 and depression risk is inconsistent. In response to these divergent results, we conducted a review and meta-analysis aimed at resolving published research on the correlation between IL-33 and depression risk, and understanding the potential role of IL-33 in the development and treatment of depression. After searching different databases, we analyzed 8 studies. Our meta-analysis showed that IL-33 had a positive correlation with reduced risk of depression. The pooled standard mean differences (SMD) = 0.14, 95% confidence interval (CI): 0.05-0.24. Subgroup analysis results showed that IL-33 and ST2 levels in cerebrospinal fluid and serum is positive correlated with reduced risk of major depressive disorder (MDD) and bipolar disorder (BD). According to the characteristics of the included literature, the results mainly focuses on Caucasian. Furthermore, according to the subgroup analysis of depression-related data sources for disease or treatment, the correlation between IL-33 and depression risk is reflected throughout the entire process of depression development and treatment. Therefore, the change of IL-33 level in serum and cerebrospinal fluid can serve as useful indicators for assessing the risk of depression, and the biomarker provides potential treatment strategies for reducing the burden of the disease.
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Affiliation(s)
- Renli Liu
- Department of Clinical Immunology, Xijing Hospital, Fourth Military Medical University, Xi’an, China
- Department of Pathology, The First Hospital of Jilin University, Changchun, China
- Department of Immunology, College of Basic Medical Sciences, Jilin University, Changchun, China
| | - Liping Liu
- Department of Immunology, College of Basic Medical Sciences, Jilin University, Changchun, China
| | - Shiying Ren
- Department of Immunology, College of Basic Medical Sciences, Jilin University, Changchun, China
| | - Chaojie Wei
- Department of Immunology, College of Basic Medical Sciences, Jilin University, Changchun, China
| | - Ying Wang
- Department of Immunology, College of Basic Medical Sciences, Jilin University, Changchun, China
| | - Dong Li
- Department of Immunology, College of Basic Medical Sciences, Jilin University, Changchun, China
| | - Wenxin Zhang
- Department of Pathology, The First Hospital of Jilin University, Changchun, China
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Xiao X, Feng H, Liao Y, Tang H, Li L, Li K, Hu F. Identification of key circadian rhythm genes in skin aging based on bioinformatics and machine learning. Aging (Albany NY) 2023; 15:11672-11689. [PMID: 37905958 PMCID: PMC10637791 DOI: 10.18632/aging.205155] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Accepted: 09/26/2023] [Indexed: 11/02/2023]
Abstract
Skin aging is often accompanied by disruption of circadian rhythm and abnormal expression of circadian rhythm-related genes. In this study, we downloaded skin aging expression datasets from the GEO database and utilized bioinformatics and machine learning methods to explore circadian rhythm genes and pathways involved in skin aging, revealing the pathological and molecular mechanisms of skin aging. Results showed that 39 circadian rhythm-related genes (CRGs) were identified in skin aging, and these CRGs were enriched in signaling pathways such as glucagon signaling pathway, insulin resistance, thyroid hormone signaling pathway, and adipocytokine signaling pathway. Three key skin aging-related CRGs, SIRT1, ARNTL, and ATF4, were identified based on machine learning. Additionally, we found that skin aging was associated with infiltration of immune cells including NK cells activated, Macrophages M1, Mast cells resting, T cells CD4 memory activated, and Macrophages M2, and the expression of the three key skin aging-related CRGs was correlated with these immune cells. Finally, SIRT1, ARNTL, and ATF4 were all down-regulated in skin aging and had a good ability to distinguish young skin tissue from aging skin tissue. In conclusion, three key CRGs, including SIRT1, ARNTL, and ATF4, which are closely related to skin aging, were obtained based on bioinformatics and machine learning technology screening. These three key CRGs were potential risk genes for skin aging and also associated with changes in the immune microenvironment in skin aging. The language used in this paragraph follows the guidelines for scientific writing specified by SCI, making it clear and concise.
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Affiliation(s)
- Xiao Xiao
- Department of Dermatology, Hunan Provincial People’s Hospital (The First-Affiliated Hospital of Hunan Normal University), Changsha, Hunan 410002, China
| | - Hao Feng
- Department of Dermatology, Hunan Provincial People’s Hospital (The First-Affiliated Hospital of Hunan Normal University), Changsha, Hunan 410002, China
| | - Yangying Liao
- Department of Dermatology, Hunan Provincial People’s Hospital (The First-Affiliated Hospital of Hunan Normal University), Changsha, Hunan 410002, China
| | - Hua Tang
- Department of Dermatology, Hunan Provincial People’s Hospital (The First-Affiliated Hospital of Hunan Normal University), Changsha, Hunan 410002, China
| | - Lan Li
- Department of Dermatology, Hunan Provincial People’s Hospital (The First-Affiliated Hospital of Hunan Normal University), Changsha, Hunan 410002, China
| | - Ke Li
- Department of Dermatology, Hunan Provincial People’s Hospital (The First-Affiliated Hospital of Hunan Normal University), Changsha, Hunan 410002, China
| | - Feng Hu
- Department of Dermatology, Hunan Provincial People’s Hospital (The First-Affiliated Hospital of Hunan Normal University), Changsha, Hunan 410002, China
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Cao Z, Hou Y, Yang H, Huang X, Wang X, Xu C. Healthy sleep patterns and common mental disorders among individuals with cardiovascular disease: A prospective cohort study. J Affect Disord 2023; 338:487-494. [PMID: 37356734 DOI: 10.1016/j.jad.2023.06.048] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/19/2023] [Revised: 06/19/2023] [Accepted: 06/20/2023] [Indexed: 06/27/2023]
Abstract
BACKGROUND Sleep behaviors are potentially modifiable risk factors for common mental disorders and cardiovascular disease (CVD). However, the associations between combined sleep behaviors and common mental disorders among individuals with CVD remain unclear. METHODS A total of 18,776 participants with a history of CVD from UK Biobank, who were free of depression or anxiety from 2006 to 2010 were included. A composite healthy sleep score was constructed based on five sleep behaviors (chronotype, sleep duration, insomnia, snoring, and excessive daytime sleepiness). Cox proportional hazard regression models were performed to calculate hazard ratios (HRs) and 95 % confidence intervals (CIs) for incident depression and anxiety. RESULTS During a median follow-up of 11.8 years, 965 depression and 812 anxiety cases were recorded. The adjusted HRs for participants with a healthy sleep pattern compared with a poor sleep pattern were 0.45 (95 % CI: 0.35-0.57) for depression and 0.77 (95 % CI: 0.58-1.03) for anxiety. There was a linear dose-response association of healthy sleep score with incident depression and anxiety (HR = 0.82, 95 % CI: 0.77-0.87; HR = 0.92, 95 % CI: 0.86-0.99 per 1-score increase, respectively). Likewise, these associations were observed among individuals with coronary heart disease, stroke, heart failure and atrial fibrillation. CONCLUSIONS A healthy sleep pattern is significantly associated with a lower risk of depression among individuals with CVD, highlighting the importance of monitoring and improving sleep health in the prevention of common mental disorders among individuals with CVD.
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Affiliation(s)
- Zhi Cao
- School of Public Health, Hangzhou Normal University, Hangzhou, China; School of Public Health, Zhejiang University School of Medicine, Hangzhou, China; Hangzhou International Urbanology Research Center & Center for Urban Governance Studies, Hangzhou, China
| | - Yabing Hou
- Yanjing Medical College, Capital Medical University, Beijing, China
| | - Hongxi Yang
- School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China
| | - Xianhong Huang
- School of Public Health, Hangzhou Normal University, Hangzhou, China; Hangzhou International Urbanology Research Center & Center for Urban Governance Studies, Hangzhou, China
| | - Xiaohe Wang
- School of Public Health, Hangzhou Normal University, Hangzhou, China; Hangzhou International Urbanology Research Center & Center for Urban Governance Studies, Hangzhou, China
| | - Chenjie Xu
- School of Public Health, Hangzhou Normal University, Hangzhou, China; Hangzhou International Urbanology Research Center & Center for Urban Governance Studies, Hangzhou, China.
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MOUSTAKBAL MAROUANE, MAATAOUI SOUADBELABBES. Prevalence and correlates of excessive fatigue among Moroccan school adolescents: A cross-sectional study. J Public Health Afr 2023; 14:2663. [PMID: 37859936 PMCID: PMC10583238 DOI: 10.4081/jphia.2023.2663] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2023] Open
Abstract
Excessive fatigue in adolescents is a growing concern as it impacts various aspects of their lives. Research on its prevalence and contributing factors in specific populations, especially in developing countries, is scarce. This study examines the prevalence of excessive fatigue among Moroccan adolescents and its association with demographic characteristics, parasomnias, depressive symptoms, and academic performance. In this cross-sectional study, we assessed excessive fatigue among 800 Moroccan adolescents (aged 12-20 years) in Settat province, using a comprehensive questionnaire including Pichot's Fatigue Scale (PFS), Patient Health Questionnaire 9 (PHQ-9), parasomnia questionnaire, and demographic questionnaire. The primary outcome was excessive fatigue, while covariates included demographic factors, physical health, regular exercise, depressive symptoms, and specific parasomnias. Associations were analyzed using cross-tabulation analysis, chi-squared tests, and correlation analysis. Excessive fatigue was prevalent in 8.4% of participants. Female adolescents had significantly higher adjusted odds of experiencing excessive fatigue than male adolescents, with an adjusted odds ratio (AOR) of 3.07 [95% CI (1.48, 6.37), P=0.003]. Excessive fatigue was significantly associated with nightmares, sleep paralysis, and hypnagogic hallucinations. A strong positive linear correlation was observed between fatigue and depressive symptoms (r=0.746, P#x003C;0.001). This study highlights the prevalence of excessive fatigue among Moroccan adolescents, emphasizing the importance of addressing gender-specific issues, sleep habits, and mental health support. Further research is needed to understand the underlying mechanisms and explore the role of lifestyle and socio-cultural contexts.
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Affiliation(s)
- MAROUANE MOUSTAKBAL
- Biochemistry, Neurosciences, Natural Resources and Environment Laboratory, Sciences and Technologies Faculty, Hassan 1st University, Settat, Morocco
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Tamura N, Okamura K. Social jetlag as a predictor of depressive symptoms among Japanese adolescents: Evidence from the Adolescent Sleep Health Epidemiological Cohort. Sleep Health 2023; 9:638-644. [PMID: 37453905 DOI: 10.1016/j.sleh.2023.06.005] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2022] [Revised: 06/09/2023] [Accepted: 06/13/2023] [Indexed: 07/18/2023]
Abstract
OBJECTIVES Social jetlag, a circadian misalignment, has been associated with depressive symptoms in the general and working populations. However, evidence for this association in adolescents is inconsistent. This cross-sectional study aimed to investigate the association between social jetlag and depressive symptoms among Japanese adolescents and to evaluate differences by sex. METHODS The participants were 1493 students (13.6 ± 0.9years, 52.4% girls) from five junior high schools. Questionnaires, including demographic information and the Munich ChronoType Questionnaire, were distributed. Social jetlag was defined as the difference between midsleep on weekdays and weekends, and was categorized as <0 hour (negative), 0 to <1 hour, 1 to <2 hours, or ≥2 hours. Depressive symptoms were assessed using the Birleson Depression Self-Rating Scale for Children. Multivariate logistic regression was used to estimate the odds ratio with adjustments for potential confounders, such as puberty- and lifestyle-related factors. RESULTS The distribution of students with <0 hour, 0 to <1 hour, 1 to <2 hours, and ≥2 hours of social jetlag was 9.4%, 37.0%, 33.3%, and 20.4%, respectively. The multivariate-adjusted model revealed that social jetlag ≥2 hours and <0 hour were associated with an elevated risk of depressive symptoms among girls and boys, respectively. These associations were nonlinear for both sexes in restricted cubic spline analyses. CONCLUSIONS Social jetlag is associated with depressive symptoms among adolescents. Specifically, the risk of depressive symptoms increased with positive social jetlag scores for girls and negative social jetlag scores for boys.
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Affiliation(s)
- Norihisa Tamura
- Department of Psychology, Graduate School of Humanities and Social Sciences, Hiroshima University, Higashi-Hiroshima, Hiroshima, Japan; Center for Brain, Mind and Kansei Sciences Research, Hiroshima University, Hiroshima, Hiroshima, Japan.
| | - Kayoko Okamura
- Department of Clinical Psychology, Graduate School of Education, Hyogo University of Teacher Education, Kato, Hyogo, Japan; Osaka Municipal Nanko Kita Junior High School, Osaka, Osaka, Japan
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Yin J, Wang H, Li S, Zhao L, You Y, Yang J, Liu Y. Nonlinear relationship between sleep midpoint and depression symptoms: a cross-sectional study of US adults. BMC Psychiatry 2023; 23:671. [PMID: 37715146 PMCID: PMC10503124 DOI: 10.1186/s12888-023-05130-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/28/2023] [Accepted: 08/23/2023] [Indexed: 09/17/2023] Open
Abstract
BACKGROUND Despite the close relationship between sleep-wake cycles and depression symptoms, the relationship between sleep midpoint and depression symptoms in adults remains understudied. METHODS In this cross-sectional study, 18280 adults aged ≥ 18 years from the National Health and Nutrition Examination Survey (NHANES) 2015-2020 were analyzed. Covariates included age, sex, race/ethnicity, education level, marital status, family income, body mass index, smoking status, drinking status, physical activity, comorbid condition, sleep duration, and sleep disturbance were adjusted in multivariate regression models. RESULTS Weighted restricted cubic spline based on the complex sampling design of NHANES showed that in participants with a sleep midpoint from 2:18 AM to 6:30 AM, the prevalence of depression symptoms increased by 0.2 times (adjusted odds ratio [OR] = 1.20, 95% confidence interval [CI]: 1.08-1.33) per 1-h increment in sleep midpoint compared to the reference point of 2:18 AM. For participants with a sleep midpoint after 6:30 AM and before 2:18 AM the next day, the relationship between sleep midpoint and depression symptoms was not significant after adjusting for all covariates (adjusted OR = 1.01, 95% CI: 0.99-1.03). CONCLUSIONS The findings indicate a significant nonlinear association between sleep midpoint and depression symptoms in a nationally representative sample of adults.
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Affiliation(s)
- Jiahui Yin
- College of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Huayang Wang
- Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Siyuan Li
- Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Leiyong Zhao
- Department of Psychosomatic Medicine, Affliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Yanwei You
- Division of Sports Science & Physical Education, Tsinghua University, Beijing, China
| | - Jiguo Yang
- College of Acupuncture and Massage, Shandong University of Traditional Chinese Medicine, Jinan, China.
| | - Yuanxiang Liu
- Department of Neurology, Shandong University of Traditional Chinese Medicine Affiliated Hospital, Jinan, China.
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Iorfino F, Varidel M, Marchant R, Cripps S, Crouse J, Prodan A, Oliveria R, Carpenter JS, Hermens DF, Guastella A, Scott E, Shah J, Merikangas K, Scott J, Hickie IB. The temporal dependencies between social, emotional and physical health factors in young people receiving mental healthcare: a dynamic Bayesian network analysis. Epidemiol Psychiatr Sci 2023; 32:e56. [PMID: 37680185 PMCID: PMC10539737 DOI: 10.1017/s2045796023000616] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Revised: 06/13/2023] [Accepted: 06/26/2023] [Indexed: 09/09/2023] Open
Abstract
AIMS The needs of young people attending mental healthcare can be complex and often span multiple domains (e.g., social, emotional and physical health factors). These factors often complicate treatment approaches and contribute to poorer outcomes in youth mental health. We aimed to identify how these factors interact over time by modelling the temporal dependencies between these transdiagnostic social, emotional and physical health factors among young people presenting for youth mental healthcare. METHODS Dynamic Bayesian networks were used to examine the relationship between mental health factors across multiple domains (social and occupational function, self-harm and suicidality, alcohol and substance use, physical health and psychiatric syndromes) in a longitudinal cohort of 2663 young people accessing youth mental health services. Two networks were developed: (1) 'initial network', that shows the conditional dependencies between factors at first presentation, and a (2) 'transition network', how factors are dependent longitudinally. RESULTS The 'initial network' identified that childhood disorders tend to precede adolescent depression which itself was associated with three distinct pathways or illness trajectories; (1) anxiety disorder; (2) bipolar disorder, manic-like experiences, circadian disturbances and psychosis-like experiences; (3) self-harm and suicidality to alcohol and substance use or functioning. The 'transition network' identified that over time social and occupational function had the largest effect on self-harm and suicidality, with direct effects on ideation (relative risk [RR], 1.79; CI, 1.59-1.99) and self-harm (RR, 1.32; CI, 1.22-1.41), and an indirect effect on attempts (RR, 2.10; CI, 1.69-2.50). Suicide ideation had a direct effect on future suicide attempts (RR, 4.37; CI, 3.28-5.43) and self-harm (RR, 2.78; CI, 2.55-3.01). Alcohol and substance use, physical health and psychiatric syndromes (e.g., depression and anxiety, at-risk mental states) were independent domains whereby all direct effects remained within each domain over time. CONCLUSIONS This study identified probable temporal dependencies between domains, which has causal interpretations, and therefore can provide insight into their differential role over the course of illness. This work identified social, emotional and physical health factors that may be important early intervention and prevention targets. Improving social and occupational function may be a critical target due to its impacts longitudinally on self-harm and suicidality. The conditional independence of alcohol and substance use supports the need for specific interventions to target these comorbidities.
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Affiliation(s)
- Frank Iorfino
- Brain and Mind Centre, The University of Sydney, Sydney, NSW, Australia
| | - Mathew Varidel
- Brain and Mind Centre, The University of Sydney, Sydney, NSW, Australia
| | - Roman Marchant
- Human Technology Institute, University of Technology, Sydney, NSW, Australia
- School of Mathematical and Physical Sciences, University of Technology Sydney, Sydney, NSW, Australia
| | - Sally Cripps
- Human Technology Institute, University of Technology, Sydney, NSW, Australia
- School of Mathematical and Physical Sciences, University of Technology Sydney, Sydney, NSW, Australia
| | - Jacob Crouse
- Brain and Mind Centre, The University of Sydney, Sydney, NSW, Australia
| | - Ante Prodan
- Brain and Mind Centre, The University of Sydney, Sydney, NSW, Australia
- Translational Health Research Institute, Western Sydney University, Sydney, NSW, Australia
- School of Computer, Data and Mathematical Sciences, Western Sydney University, Sydney, NSW, Australia
| | - Rafael Oliveria
- Brain and Mind Centre, The University of Sydney, Sydney, NSW, Australia
- School of Computer Science, The University of Sydney, Sydney, NSW, Australia
| | | | - Daniel F. Hermens
- Brain and Mind Centre, The University of Sydney, Sydney, NSW, Australia
- Thompson Institute, University of the Sunshine Coast, Birtinya, QLD, Australia
| | - Adam Guastella
- Brain and Mind Centre, The University of Sydney, Sydney, NSW, Australia
| | - Elizabeth Scott
- Brain and Mind Centre, The University of Sydney, Sydney, NSW, Australia
| | - Jai Shah
- Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - Kathleen Merikangas
- Genetic Epidemiology Research Branch, Division of Intramural Research Program, National Institute of Mental Health, Bethesda, MD, USA
| | - Jan Scott
- Academic Psychiatry, Institute of Neuroscience, Newcastle University, Newcastle, UK
| | - Ian B. Hickie
- Brain and Mind Centre, The University of Sydney, Sydney, NSW, Australia
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