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Fujii C, Zorumski CF, Izumi Y. Endoplasmic reticulum stress, autophagy, neuroinflammation, and sigma 1 receptors as contributors to depression and its treatment. Neural Regen Res 2024; 19:2202-2211. [PMID: 38488553 PMCID: PMC11034583 DOI: 10.4103/1673-5374.391334] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Revised: 11/02/2023] [Accepted: 11/24/2023] [Indexed: 04/24/2024] Open
Abstract
The etiological factors contributing to depression and other neuropsychiatric disorders are largely undefined. Endoplasmic reticulum stress pathways and autophagy are well-defined mechanisms that play critical functions in recognizing and resolving cellular stress and are possible targets for the pathophysiology and treatment of psychiatric and neurologic illnesses. An increasing number of studies indicate the involvement of endoplasmic reticulum stress and autophagy in the control of neuroinflammation, a contributing factor to multiple neuropsychiatric illnesses. Initial inflammatory triggers induce endoplasmic reticulum stress, leading to neuroinflammatory responses. Subsequently, induction of autophagy by neurosteroids and other signaling pathways that converge on autophagy induction are thought to participate in resolving neuroinflammation. The aim of this review is to summarize our current understanding of the molecular mechanisms governing the induction of endoplasmic reticulum stress, autophagy, and neuroinflammation in the central nervous system. Studies focused on innate immune factors, including neurosteroids with anti-inflammatory roles will be reviewed. In the context of depression, animal models that led to our current understanding of molecular mechanisms underlying depression will be highlighted, including the roles of sigma 1 receptors and pharmacological agents that dampen endoplasmic reticulum stress and associated neuroinflammation.
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Affiliation(s)
- Chika Fujii
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Charles F. Zorumski
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
- Taylor Family Institute for Innovative Psychiatric Research, Washington University School of Medicine, St. Louis, MO, USA
| | - Yukitoshi Izumi
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
- Taylor Family Institute for Innovative Psychiatric Research, Washington University School of Medicine, St. Louis, MO, USA
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2
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Wu S, Yuan G, Wu L, Zou L, Wu F. Identifying the association between depression and constipation: An observational study and Mendelian randomization analysis. J Affect Disord 2024; 359:394-402. [PMID: 38806066 DOI: 10.1016/j.jad.2024.05.124] [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: 01/02/2024] [Revised: 05/23/2024] [Accepted: 05/24/2024] [Indexed: 05/30/2024]
Abstract
BACKGROUND Both depression and constipation are universal disorders that seriously affect quality of life. But the phenotypic relationship and causality between depression and constipation are still unclear. METHODS We first assessed phenotypic relationships by logistic regression analysis using large-scale data extracted from the National Health and Nutrition Examination Survey (N = 11,585). We then evaluated causality by bidirectional two-sample mendelian randomization (MR) analysis using Genome-wide association study (GWAS) data (depression: N = 807,553; constipation: N = 377,277). To investigate whether depression severity affects the causal relationship between depression and constipation, we conducted a further MR study on GWAS data of major depression (N = 480,359). RESULTS About 11.31 % of the participants in the constipation group suffered from depression, which was significantly higher than the normal bowel group (6.09 %). The observational study showed a positive correlation between depression and constipation (OR = 1.968, 95%CI = 1.530-2.532). Besides, the risk of constipation was higher in participants with severe depression (OR = 2.294, 95%CI = 1.538-3.422) than in participants with mild depression (OR = 1.549, 95%CI = 1.242-1.932). Bidirectional MR analysis revealed an obviously causal effect of depression on constipation, but no causal effect of constipation on depression. In addition, the MR analysis also revealed a causal relationship between major depression and constipation. LIMITATION The exact mechanism by which depression affects constipation is still unclear. CONCLUSION This study reveals a positive correlation between depression and constipation and the causal effect of depression on constipation. Clinicians should keep the risk of constipation in mind when treating patients with depression.
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Affiliation(s)
- Shasha Wu
- Department of Gastroenterology, The Third Hospital of Mianyang, Sichuan Mental Health Center, Mianyang, Sichuan, PR China
| | - Guojun Yuan
- Department of Gastroenterology, The Third Hospital of Mianyang, Sichuan Mental Health Center, Mianyang, Sichuan, PR China
| | - Linlin Wu
- Department of Psychosomatic diseases, The Third Hospital of Mianyang, Sichuan Mental Health Center, Mianyang, Sichuan, PR China
| | - Long Zou
- Department of Gastroenterology, The Third Hospital of Mianyang, Sichuan Mental Health Center, Mianyang, Sichuan, PR China.
| | - Feixiang Wu
- Department of Urology, The Third Hospital of Mianyang, Sichuan Mental Health Center, Mianyang, Sichuan, PR China.
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Ortuño D, Martínez C, Caneo C, Paredes F, Soto M, González MI, Vargas JP, Koller G. Tooth loss and depression in Chilean participants of the National Health Survey 2016-2017: Oral and social functions mediation analysis. J Affect Disord 2024; 358:19-27. [PMID: 38703903 DOI: 10.1016/j.jad.2024.05.010] [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: 10/27/2023] [Revised: 04/29/2024] [Accepted: 05/01/2024] [Indexed: 05/06/2024]
Abstract
BACKGROUND Previous studies have indicated the association between poor oral health and depression in adults. This study evaluated oral and social functions contribution to the association between tooth loss and depressive symptoms in Chilean individuals. METHODS We used data from the Chilean National Health Survey. The number of remaining teeth (≤19 versus ≥20 teeth) and anterior tooth losses were the exposure variables. Outcome was depression, measured through a self-report question and with the Composite International Diagnostic Interview - Short Form (CIDI SF). Mediating variables were determined by five questions, including problems regarding "speaking", "pain and suffering", "eating", "daily activities", and "social relationships". We performed logistic regression models adjusted by multiple confounders variables. Finally, we calculated indirect, direct effect, total effect, and the proportion mediated (PM). RESULTS We included 5383 participants. The self-reported depression and suspected depression prevalence were 22,1 % and 14,0 % respectively. The total effect of fewer remaining teeth (≤19) on self-reported depression was 1.21 (95 % CI 1.02-1.44), and 1.09 (95 % CI 0.90-1.33) for suspected depression. All five variables of oral and social functions significantly mediated the association between tooth loss and depression. Feeling uncomfortable when speaking or eating discomfort were the most significant mediators. LIMITATIONS The mediation analysis should be interpreted with caution due to the cross-sectional design. CONCLUSIONS Deterioration of oral and social functions was a significant mediator in the association between tooth loss and depression, in particular feeling uncomfortable when speaking or eating. This mechanism should be considered in interventions to improve mental health.
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Affiliation(s)
- Duniel Ortuño
- Pontificia Universidad Católica de Chile, Programa Doctorado en Epidemiología, Chile; Facultad de Odontología, Universidad de los Andes, Chile..
| | - Constanza Martínez
- Pontificia Universidad Católica de Chile, Programa Doctorado en Epidemiología, Chile; Facultad de Odontología, Universidad de los Andes, Chile
| | - Constanza Caneo
- Pontificia Universidad Católica de Chile, Programa Doctorado en Epidemiología, Chile
| | - Fabio Paredes
- Faculty of Mathematics, Pontificia Universidad Católica de Chile, Chile
| | - Mario Soto
- Escuela de Tecnología Médica, Facultad de Salud y Odontología, Universidad Diego Portales
| | | | - Juan Pablo Vargas
- Escuela de Odontología, Pontificia Universidad Católica de Chile, Chile
| | - Garrit Koller
- Department of Endodontics, Centre for Oral, Clinical and Translational Sciences, Faculty of Dentistry, Oral & Craniofacial Sciences, King's College London, London, United Kingdom; London Centre for Nanotechnology, London, United Kingdom
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Hietamies TM, Smith AE, Lii TR, Muzzall E, Flohr J, Okada RL, Andriella ZG, Nyongesa CA, Cianfichi LJ, Hack LM, Heifets BD. Prevalence and characteristics of preoperative patients with depression. Br J Anaesth 2024; 133:77-85. [PMID: 38782617 DOI: 10.1016/j.bja.2024.04.017] [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: 04/25/2024] [Accepted: 04/25/2024] [Indexed: 05/25/2024] Open
Abstract
BACKGROUND Within the perioperative period, depression-related diagnoses are associated with postoperative complications. We developed a perioperative depression screening programme to assess disease prevalence and feasibility for intervention. METHODS Adult patients in multiple surgical departments at a single academic centre were screened for depression via the electronic health record patient portal or preoperative anaesthesia clinic before surgery, using the Patient Health Questionnaire (PHQ)-2 and -8. We utilised a broad method, screening all patients, and a focused method, only screening patients with a history of depression. Logistic regression was used to identify characteristics associated with clinically significant depression (PHQ-8 ≥10). Symptomatic patients were administered a brief psychoeducational intervention and referred for mental health services. RESULTS A total of 3735 patients were identified by the broad and focused screens, of whom 2940 (79%) returned PHQ-2 data and were included in analysis. The broad screen (N=1216) found 46 (4%) patients who reported symptoms of moderate or greater severity. The focused screen (N=1724) found 242 (14%) patients with symptoms of moderate or greater severity and over all higher rates of depression across the symptom severity scale. Using the total screened pool, logistic regression identified a history of depression as the strongest associated patient characteristic variable but this did not capture most cases. Finally, we found that 66% of patients who were contacted about mental health services accepted referrals or sought outside care. CONCLUSIONS At least 4% of preoperative patients have clinically significant symptoms of depression, most of whom do not have a chart history of depression.
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Affiliation(s)
- Tuuli M Hietamies
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Ashleigh E Smith
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Theresa R Lii
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Evan Muzzall
- Software and Services for Data Science, Stanford Libraries, Stanford, CA, USA
| | - Josephine Flohr
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Robin L Okada
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Zachary G Andriella
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Cynthia A Nyongesa
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Lisa J Cianfichi
- Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA
| | - Laura M Hack
- Department of Psychiatry and Behavioral Science, Stanford University School of Medicine, Stanford, CA, USA; Sierra Pacific Mental Illness Research, Education, and Clinical Center (MIRECC), VA Palo Alto Health Care System, Palo Alto, CA, USA
| | - Boris D Heifets
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA; Department of Psychiatry and Behavioral Science, Stanford University School of Medicine, Stanford, CA, USA.
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Wu S, Zhong X, Gong Y, Yao Y, Shirai K, Kondo K, Wang X, Guan L, Chen Q, Liu K, Li Y. Depression and the Risk of Dementia and All-Cause Mortality Among Japanese Older Adults: A 9-Year Longitudinal Study From JAGES. J Gerontol B Psychol Sci Soc Sci 2024; 79:gbae084. [PMID: 38778797 DOI: 10.1093/geronb/gbae084] [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: 01/03/2024] [Indexed: 05/25/2024] Open
Abstract
BACKGROUND This study aims to investigate the association and dose-response relationship between depression, dementia, and all-cause mortality based on a national cohort study of older adults in Japan. METHODS We conducted a longitudinal study of 44,546 participants ≥65 years from 2010-2019 Japanese Gerontological Evaluation Study. The Geriatric Depression Scale-15 was used to assess depressive symptoms and the long-term care insurance was used to assess dementia. Fine-Gray models and Cox proportional hazard models were used to explore the effect of depression severity on the incidence of dementia and all-cause mortality, respectively. Causal mediation analysis were used to explore the extent of association between dementia-mediated depression and all-cause mortality. RESULTS We found that both minor and major depressive symptoms were associated with the increased cumulative incidence of dementia and all-cause mortality, especially major depressive symptoms (p < .001). The multivariable-adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) for dementia were 1.25 (1.19-1.32) for minor depressive symptoms and 1.42 (1.30-1.54) for major depressive symptoms in comparison to non-depression; p for trend < .001. The multivariable-adjusted HRs and 95% CIs for all-cause mortality were 1.27 (1.21-1.33) for minor depressive symptoms and 1.51 (1.41-1.62) for major depressive symptoms in comparison to non-depression; p for trend < .001. Depression has a stronger impact on dementia and all-cause mortality among the younger group. In addition, dementia significantly mediated the association between depression and all-cause mortality. DISCUSSION Interventions targeting major depression may be an effective strategy for preventing dementia and premature death.
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Affiliation(s)
- Shan Wu
- School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China
| | - Xiangbin Zhong
- School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China
| | - Yajie Gong
- School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China
| | - Yao Yao
- China Center for Health Development Studies, Peking University, Beijing, China
| | - Kokoro Shirai
- Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Katsunori Kondo
- Center for Preventive Medical Sciences, Chiba University, Chiba, Japan
- Center for Well-being and Society, Nihon Fukushi University, Aichi, Japan
| | - Xinlei Wang
- School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China
| | - Liqi Guan
- School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China
| | - Qiqing Chen
- School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China
| | - Keyang Liu
- Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Yuting Li
- School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China
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Mizumoto T, Ikei H, Hagiwara K, Matsubara T, Higuchi F, Kobayashi M, Yamashina T, Sasaki J, Yamada N, Higuchi N, Haraga K, Kirihara F, Okabe E, Asai K, Hirotsu M, Chen C, Miyazaki Y, Nakagawa S. Mood and physiological effects of visual stimulation with images of the natural environment in individuals with depressive and anxiety disorders. J Affect Disord 2024; 356:257-266. [PMID: 38588725 DOI: 10.1016/j.jad.2024.04.025] [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: 12/07/2023] [Revised: 04/02/2024] [Accepted: 04/05/2024] [Indexed: 04/10/2024]
Abstract
BACKGROUND Nature therapies are gaining attention as non-pharmacological treatments for depressive and anxiety disorders, but research on their effectiveness in patients is limited. This study investigates the mood-improving effects of visual stimulation with natural environmental images in patients with depressive and anxiety disorders. METHODS We conducted a randomized crossover comparison trial involving 60 right-handed adult participants with depressive or anxiety disorders and receiving outpatient treatment. Visual stimuli of natural environments consisted of green-themed nature images, while the control stimuli featured urban scenes dominated by buildings. The stimulation lasted for 3 min, during which orbital prefrontal brain activity was measured using a 2-channel Near-infrared Spectroscopy (NIRS) system, and heart rate variability was assessed using fingertip accelerated plethysmography. RESULTS Mood enhancement effects were observed in both the depressive and anxiety disorder groups following visual stimulation with nature images. In the depression group, orbital prefrontal oxygenated hemoglobin concentration significantly increased after visual stimulation with nature images, while there were no significant changes in the anxiety group. However, in the anxiety group, a correlation was found between reduced orbital prefrontal oxygenated hemoglobin in response to nature images and increased mood-enhancement. Furthermore, the severity of depressive symptoms did not significantly affect the intervention effects, whereas heightened anxiety symptoms was associated with a smaller mood enhancement effect. DISCUSSION Our study demonstrates the benefits of nature image stimulation for patients with depressive and anxiety disorders. Differential orbital prefrontal brain activity impacts notwithstanding, both conditions exhibited mood enhancement, affirming the value of nature image stimulation.
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Affiliation(s)
- Tomohiro Mizumoto
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, Japan
| | - Harumi Ikei
- Center for Environment, Health and Field Sciences, Chiba University, Chiba, Japan
| | - Kosuke Hagiwara
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, Japan
| | - Toshio Matsubara
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, Japan
| | - Fumihiro Higuchi
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, Japan
| | - Masaaki Kobayashi
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, Japan
| | - Takahiro Yamashina
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, Japan
| | - Jun Sasaki
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, Japan; Koryo Hospital, Ube, Japan
| | - Norihiro Yamada
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, Japan
| | - Naoko Higuchi
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, Japan
| | - Kenichi Haraga
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, Japan
| | - Fumiaki Kirihara
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, Japan
| | - Emi Okabe
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, Japan
| | - Kumi Asai
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, Japan
| | - Masako Hirotsu
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, Japan
| | - Chong Chen
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, Japan.
| | - Yoshifumi Miyazaki
- Center for Environment, Health and Field Sciences, Chiba University, Chiba, Japan
| | - Shin Nakagawa
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, Japan
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7
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Liu Q, Teng CC, Sun I, Muñoz RF, Garza M, Liu NH, Barakat S, Leykin Y. Suicide attempts in the absence of depression: Differences between broad cultural groups. J Affect Disord 2024; 356:722-727. [PMID: 38657769 DOI: 10.1016/j.jad.2024.04.087] [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: 12/25/2023] [Revised: 04/10/2024] [Accepted: 04/21/2024] [Indexed: 04/26/2024]
Abstract
Suicide is one of the leading causes of death worldwide (WHO, 2021). Depression is a common precursor to suicide and suicidality; however, individuals' experience of depression and the meaning of suicide differs depending on one's cultural background (Colucci, 2013; Goodmann et al., 2021; Kleinman, 2004). The current study explores the relationship between suicide and depression among six broad cultural groups in a large sample (N = 17,015) of adults representing six broad cultural groups (Latin America, South Asia, former Soviet Bloc, Western English-speakers, Chinese, and Arab World). Participants were recruited to a multilingual depression and suicide screening study via Google Ads (Leykin et al., 2012; Gross et al., 2014). As expected, the presence of depression was associated with suicide attempts. However, cultural group moderated this association, with Chinese participants being most likely to report suicide attempts while screening negative for depression. Although depression remains an important predictor of suicidality, it appears that certain cultural groups may be at higher risk even when depression is not present. Clinicians should consider using culturally adapted assessments for depression and suicidality.
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Affiliation(s)
| | | | | | - Ricardo F Muñoz
- Palo Alto University; University of California, San Francisco, United States of America; Institute for International Internet Interventions for Health, United States of America
| | - Monica Garza
- Legacy Community Health, United States of America
| | - Nancy H Liu
- University of California, Berkeley, United States of America
| | - Suzanne Barakat
- University of California, San Francisco, United States of America
| | - Yan Leykin
- Palo Alto University; University of California, San Francisco, United States of America; Institute for International Internet Interventions for Health, United States of America.
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8
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Kang J, Castro VM, Ripperger M, Venkatesh S, Burstein D, Linnér RK, Rocha DB, Hu Y, Wilimitis D, Morley T, Han L, Kim RY, Feng YCA, Ge T, Heckers S, Voloudakis G, Chabris C, Roussos P, McCoy TH, Walsh CG, Perlis RH, Ruderfer DM. Genome-Wide Association Study of Treatment-Resistant Depression: Shared Biology With Metabolic Traits. Am J Psychiatry 2024; 181:608-619. [PMID: 38745458 DOI: 10.1176/appi.ajp.20230247] [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: 05/16/2024]
Abstract
OBJECTIVE Treatment-resistant depression (TRD) occurs in roughly one-third of all individuals with major depressive disorder (MDD). Although research has suggested a significant common variant genetic component of liability to TRD, with heritability estimated at 8% when compared with non-treatment-resistant MDD, no replicated genetic loci have been identified, and the genetic architecture of TRD remains unclear. A key barrier to this work has been the paucity of adequately powered cohorts for investigation, largely because of the challenge in prospectively investigating this phenotype. The objective of this study was to perform a well-powered genetic study of TRD. METHODS Using receipt of electroconvulsive therapy (ECT) as a surrogate for TRD, the authors applied standard machine learning methods to electronic health record data to derive predicted probabilities of receiving ECT. These probabilities were then applied as a quantitative trait in a genome-wide association study of 154,433 genotyped patients across four large biobanks. RESULTS Heritability estimates ranged from 2% to 4.2%, and significant genetic overlap was observed with cognition, attention deficit hyperactivity disorder, schizophrenia, alcohol and smoking traits, and body mass index. Two genome-wide significant loci were identified, both previously implicated in metabolic traits, suggesting shared biology and potential pharmacological implications. CONCLUSIONS This work provides support for the utility of estimation of disease probability for genomic investigation and provides insights into the genetic architecture and biology of TRD.
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Affiliation(s)
- JooEun Kang
- Division of Genetic Medicine, Department of Medicine, and Vanderbilt Genetics Institute (Kang, Morley, Han, Ruderfer), Department of Psychiatry (Castro, Kim, Ge, McCoy, Perlis) and Center for Quantitative Health (Castro, Kim, McCoy, Perlis), Massachusetts General Hospital, Boston; Research Information Science and Computing, Mass General Brigham, Somerville, Mass. (Castro); Department of Psychiatry, Center for Disease Neurogenomics, Friedman Brain Institute, Department of Genetics and Genomic Sciences, Icahn Institute for Data Science and Genomic Technology, and Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York (Venkatesh, Burstein, Voloudakis, Roussos); Mental Illness Research, Education, and Clinical Center (VISN 2 South), James J. Peters VA Medical Center, Bronx, N.Y. (Venkatesh, Burstein, Voloudakis, Roussos); Autism and Developmental Medicine Institute, Geisinger, Lewisburg, Pa. (Linnér, Chabris); Department of Economics, Leiden University, Leiden, the Netherlands (Linnér); Phenomic Analytics and Clinical Data Core (Rocha) and Population Health Sciences (Hu), Geisinger, Danville, Pa.; Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei (Feng)
| | - Victor M Castro
- Division of Genetic Medicine, Department of Medicine, and Vanderbilt Genetics Institute (Kang, Morley, Han, Ruderfer), Department of Psychiatry (Castro, Kim, Ge, McCoy, Perlis) and Center for Quantitative Health (Castro, Kim, McCoy, Perlis), Massachusetts General Hospital, Boston; Research Information Science and Computing, Mass General Brigham, Somerville, Mass. (Castro); Department of Psychiatry, Center for Disease Neurogenomics, Friedman Brain Institute, Department of Genetics and Genomic Sciences, Icahn Institute for Data Science and Genomic Technology, and Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York (Venkatesh, Burstein, Voloudakis, Roussos); Mental Illness Research, Education, and Clinical Center (VISN 2 South), James J. Peters VA Medical Center, Bronx, N.Y. (Venkatesh, Burstein, Voloudakis, Roussos); Autism and Developmental Medicine Institute, Geisinger, Lewisburg, Pa. (Linnér, Chabris); Department of Economics, Leiden University, Leiden, the Netherlands (Linnér); Phenomic Analytics and Clinical Data Core (Rocha) and Population Health Sciences (Hu), Geisinger, Danville, Pa.; Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei (Feng)
| | - Michael Ripperger
- Division of Genetic Medicine, Department of Medicine, and Vanderbilt Genetics Institute (Kang, Morley, Han, Ruderfer), Department of Psychiatry (Castro, Kim, Ge, McCoy, Perlis) and Center for Quantitative Health (Castro, Kim, McCoy, Perlis), Massachusetts General Hospital, Boston; Research Information Science and Computing, Mass General Brigham, Somerville, Mass. (Castro); Department of Psychiatry, Center for Disease Neurogenomics, Friedman Brain Institute, Department of Genetics and Genomic Sciences, Icahn Institute for Data Science and Genomic Technology, and Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York (Venkatesh, Burstein, Voloudakis, Roussos); Mental Illness Research, Education, and Clinical Center (VISN 2 South), James J. Peters VA Medical Center, Bronx, N.Y. (Venkatesh, Burstein, Voloudakis, Roussos); Autism and Developmental Medicine Institute, Geisinger, Lewisburg, Pa. (Linnér, Chabris); Department of Economics, Leiden University, Leiden, the Netherlands (Linnér); Phenomic Analytics and Clinical Data Core (Rocha) and Population Health Sciences (Hu), Geisinger, Danville, Pa.; Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei (Feng)
| | - Sanan Venkatesh
- Division of Genetic Medicine, Department of Medicine, and Vanderbilt Genetics Institute (Kang, Morley, Han, Ruderfer), Department of Psychiatry (Castro, Kim, Ge, McCoy, Perlis) and Center for Quantitative Health (Castro, Kim, McCoy, Perlis), Massachusetts General Hospital, Boston; Research Information Science and Computing, Mass General Brigham, Somerville, Mass. (Castro); Department of Psychiatry, Center for Disease Neurogenomics, Friedman Brain Institute, Department of Genetics and Genomic Sciences, Icahn Institute for Data Science and Genomic Technology, and Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York (Venkatesh, Burstein, Voloudakis, Roussos); Mental Illness Research, Education, and Clinical Center (VISN 2 South), James J. Peters VA Medical Center, Bronx, N.Y. (Venkatesh, Burstein, Voloudakis, Roussos); Autism and Developmental Medicine Institute, Geisinger, Lewisburg, Pa. (Linnér, Chabris); Department of Economics, Leiden University, Leiden, the Netherlands (Linnér); Phenomic Analytics and Clinical Data Core (Rocha) and Population Health Sciences (Hu), Geisinger, Danville, Pa.; Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei (Feng)
| | - David Burstein
- Division of Genetic Medicine, Department of Medicine, and Vanderbilt Genetics Institute (Kang, Morley, Han, Ruderfer), Department of Psychiatry (Castro, Kim, Ge, McCoy, Perlis) and Center for Quantitative Health (Castro, Kim, McCoy, Perlis), Massachusetts General Hospital, Boston; Research Information Science and Computing, Mass General Brigham, Somerville, Mass. (Castro); Department of Psychiatry, Center for Disease Neurogenomics, Friedman Brain Institute, Department of Genetics and Genomic Sciences, Icahn Institute for Data Science and Genomic Technology, and Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York (Venkatesh, Burstein, Voloudakis, Roussos); Mental Illness Research, Education, and Clinical Center (VISN 2 South), James J. Peters VA Medical Center, Bronx, N.Y. (Venkatesh, Burstein, Voloudakis, Roussos); Autism and Developmental Medicine Institute, Geisinger, Lewisburg, Pa. (Linnér, Chabris); Department of Economics, Leiden University, Leiden, the Netherlands (Linnér); Phenomic Analytics and Clinical Data Core (Rocha) and Population Health Sciences (Hu), Geisinger, Danville, Pa.; Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei (Feng)
| | - Richard Karlsson Linnér
- Division of Genetic Medicine, Department of Medicine, and Vanderbilt Genetics Institute (Kang, Morley, Han, Ruderfer), Department of Psychiatry (Castro, Kim, Ge, McCoy, Perlis) and Center for Quantitative Health (Castro, Kim, McCoy, Perlis), Massachusetts General Hospital, Boston; Research Information Science and Computing, Mass General Brigham, Somerville, Mass. (Castro); Department of Psychiatry, Center for Disease Neurogenomics, Friedman Brain Institute, Department of Genetics and Genomic Sciences, Icahn Institute for Data Science and Genomic Technology, and Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York (Venkatesh, Burstein, Voloudakis, Roussos); Mental Illness Research, Education, and Clinical Center (VISN 2 South), James J. Peters VA Medical Center, Bronx, N.Y. (Venkatesh, Burstein, Voloudakis, Roussos); Autism and Developmental Medicine Institute, Geisinger, Lewisburg, Pa. (Linnér, Chabris); Department of Economics, Leiden University, Leiden, the Netherlands (Linnér); Phenomic Analytics and Clinical Data Core (Rocha) and Population Health Sciences (Hu), Geisinger, Danville, Pa.; Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei (Feng)
| | - Daniel B Rocha
- Division of Genetic Medicine, Department of Medicine, and Vanderbilt Genetics Institute (Kang, Morley, Han, Ruderfer), Department of Psychiatry (Castro, Kim, Ge, McCoy, Perlis) and Center for Quantitative Health (Castro, Kim, McCoy, Perlis), Massachusetts General Hospital, Boston; Research Information Science and Computing, Mass General Brigham, Somerville, Mass. (Castro); Department of Psychiatry, Center for Disease Neurogenomics, Friedman Brain Institute, Department of Genetics and Genomic Sciences, Icahn Institute for Data Science and Genomic Technology, and Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York (Venkatesh, Burstein, Voloudakis, Roussos); Mental Illness Research, Education, and Clinical Center (VISN 2 South), James J. Peters VA Medical Center, Bronx, N.Y. (Venkatesh, Burstein, Voloudakis, Roussos); Autism and Developmental Medicine Institute, Geisinger, Lewisburg, Pa. (Linnér, Chabris); Department of Economics, Leiden University, Leiden, the Netherlands (Linnér); Phenomic Analytics and Clinical Data Core (Rocha) and Population Health Sciences (Hu), Geisinger, Danville, Pa.; Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei (Feng)
| | - Yirui Hu
- Division of Genetic Medicine, Department of Medicine, and Vanderbilt Genetics Institute (Kang, Morley, Han, Ruderfer), Department of Psychiatry (Castro, Kim, Ge, McCoy, Perlis) and Center for Quantitative Health (Castro, Kim, McCoy, Perlis), Massachusetts General Hospital, Boston; Research Information Science and Computing, Mass General Brigham, Somerville, Mass. (Castro); Department of Psychiatry, Center for Disease Neurogenomics, Friedman Brain Institute, Department of Genetics and Genomic Sciences, Icahn Institute for Data Science and Genomic Technology, and Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York (Venkatesh, Burstein, Voloudakis, Roussos); Mental Illness Research, Education, and Clinical Center (VISN 2 South), James J. Peters VA Medical Center, Bronx, N.Y. (Venkatesh, Burstein, Voloudakis, Roussos); Autism and Developmental Medicine Institute, Geisinger, Lewisburg, Pa. (Linnér, Chabris); Department of Economics, Leiden University, Leiden, the Netherlands (Linnér); Phenomic Analytics and Clinical Data Core (Rocha) and Population Health Sciences (Hu), Geisinger, Danville, Pa.; Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei (Feng)
| | - Drew Wilimitis
- Division of Genetic Medicine, Department of Medicine, and Vanderbilt Genetics Institute (Kang, Morley, Han, Ruderfer), Department of Psychiatry (Castro, Kim, Ge, McCoy, Perlis) and Center for Quantitative Health (Castro, Kim, McCoy, Perlis), Massachusetts General Hospital, Boston; Research Information Science and Computing, Mass General Brigham, Somerville, Mass. (Castro); Department of Psychiatry, Center for Disease Neurogenomics, Friedman Brain Institute, Department of Genetics and Genomic Sciences, Icahn Institute for Data Science and Genomic Technology, and Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York (Venkatesh, Burstein, Voloudakis, Roussos); Mental Illness Research, Education, and Clinical Center (VISN 2 South), James J. Peters VA Medical Center, Bronx, N.Y. (Venkatesh, Burstein, Voloudakis, Roussos); Autism and Developmental Medicine Institute, Geisinger, Lewisburg, Pa. (Linnér, Chabris); Department of Economics, Leiden University, Leiden, the Netherlands (Linnér); Phenomic Analytics and Clinical Data Core (Rocha) and Population Health Sciences (Hu), Geisinger, Danville, Pa.; Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei (Feng)
| | - Theodore Morley
- Division of Genetic Medicine, Department of Medicine, and Vanderbilt Genetics Institute (Kang, Morley, Han, Ruderfer), Department of Psychiatry (Castro, Kim, Ge, McCoy, Perlis) and Center for Quantitative Health (Castro, Kim, McCoy, Perlis), Massachusetts General Hospital, Boston; Research Information Science and Computing, Mass General Brigham, Somerville, Mass. (Castro); Department of Psychiatry, Center for Disease Neurogenomics, Friedman Brain Institute, Department of Genetics and Genomic Sciences, Icahn Institute for Data Science and Genomic Technology, and Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York (Venkatesh, Burstein, Voloudakis, Roussos); Mental Illness Research, Education, and Clinical Center (VISN 2 South), James J. Peters VA Medical Center, Bronx, N.Y. (Venkatesh, Burstein, Voloudakis, Roussos); Autism and Developmental Medicine Institute, Geisinger, Lewisburg, Pa. (Linnér, Chabris); Department of Economics, Leiden University, Leiden, the Netherlands (Linnér); Phenomic Analytics and Clinical Data Core (Rocha) and Population Health Sciences (Hu), Geisinger, Danville, Pa.; Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei (Feng)
| | - Lide Han
- Division of Genetic Medicine, Department of Medicine, and Vanderbilt Genetics Institute (Kang, Morley, Han, Ruderfer), Department of Psychiatry (Castro, Kim, Ge, McCoy, Perlis) and Center for Quantitative Health (Castro, Kim, McCoy, Perlis), Massachusetts General Hospital, Boston; Research Information Science and Computing, Mass General Brigham, Somerville, Mass. (Castro); Department of Psychiatry, Center for Disease Neurogenomics, Friedman Brain Institute, Department of Genetics and Genomic Sciences, Icahn Institute for Data Science and Genomic Technology, and Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York (Venkatesh, Burstein, Voloudakis, Roussos); Mental Illness Research, Education, and Clinical Center (VISN 2 South), James J. Peters VA Medical Center, Bronx, N.Y. (Venkatesh, Burstein, Voloudakis, Roussos); Autism and Developmental Medicine Institute, Geisinger, Lewisburg, Pa. (Linnér, Chabris); Department of Economics, Leiden University, Leiden, the Netherlands (Linnér); Phenomic Analytics and Clinical Data Core (Rocha) and Population Health Sciences (Hu), Geisinger, Danville, Pa.; Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei (Feng)
| | - Rachel Youngjung Kim
- Division of Genetic Medicine, Department of Medicine, and Vanderbilt Genetics Institute (Kang, Morley, Han, Ruderfer), Department of Psychiatry (Castro, Kim, Ge, McCoy, Perlis) and Center for Quantitative Health (Castro, Kim, McCoy, Perlis), Massachusetts General Hospital, Boston; Research Information Science and Computing, Mass General Brigham, Somerville, Mass. (Castro); Department of Psychiatry, Center for Disease Neurogenomics, Friedman Brain Institute, Department of Genetics and Genomic Sciences, Icahn Institute for Data Science and Genomic Technology, and Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York (Venkatesh, Burstein, Voloudakis, Roussos); Mental Illness Research, Education, and Clinical Center (VISN 2 South), James J. Peters VA Medical Center, Bronx, N.Y. (Venkatesh, Burstein, Voloudakis, Roussos); Autism and Developmental Medicine Institute, Geisinger, Lewisburg, Pa. (Linnér, Chabris); Department of Economics, Leiden University, Leiden, the Netherlands (Linnér); Phenomic Analytics and Clinical Data Core (Rocha) and Population Health Sciences (Hu), Geisinger, Danville, Pa.; Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei (Feng)
| | - Yen-Chen Anne Feng
- Division of Genetic Medicine, Department of Medicine, and Vanderbilt Genetics Institute (Kang, Morley, Han, Ruderfer), Department of Psychiatry (Castro, Kim, Ge, McCoy, Perlis) and Center for Quantitative Health (Castro, Kim, McCoy, Perlis), Massachusetts General Hospital, Boston; Research Information Science and Computing, Mass General Brigham, Somerville, Mass. (Castro); Department of Psychiatry, Center for Disease Neurogenomics, Friedman Brain Institute, Department of Genetics and Genomic Sciences, Icahn Institute for Data Science and Genomic Technology, and Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York (Venkatesh, Burstein, Voloudakis, Roussos); Mental Illness Research, Education, and Clinical Center (VISN 2 South), James J. Peters VA Medical Center, Bronx, N.Y. (Venkatesh, Burstein, Voloudakis, Roussos); Autism and Developmental Medicine Institute, Geisinger, Lewisburg, Pa. (Linnér, Chabris); Department of Economics, Leiden University, Leiden, the Netherlands (Linnér); Phenomic Analytics and Clinical Data Core (Rocha) and Population Health Sciences (Hu), Geisinger, Danville, Pa.; Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei (Feng)
| | - Tian Ge
- Division of Genetic Medicine, Department of Medicine, and Vanderbilt Genetics Institute (Kang, Morley, Han, Ruderfer), Department of Psychiatry (Castro, Kim, Ge, McCoy, Perlis) and Center for Quantitative Health (Castro, Kim, McCoy, Perlis), Massachusetts General Hospital, Boston; Research Information Science and Computing, Mass General Brigham, Somerville, Mass. (Castro); Department of Psychiatry, Center for Disease Neurogenomics, Friedman Brain Institute, Department of Genetics and Genomic Sciences, Icahn Institute for Data Science and Genomic Technology, and Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York (Venkatesh, Burstein, Voloudakis, Roussos); Mental Illness Research, Education, and Clinical Center (VISN 2 South), James J. Peters VA Medical Center, Bronx, N.Y. (Venkatesh, Burstein, Voloudakis, Roussos); Autism and Developmental Medicine Institute, Geisinger, Lewisburg, Pa. (Linnér, Chabris); Department of Economics, Leiden University, Leiden, the Netherlands (Linnér); Phenomic Analytics and Clinical Data Core (Rocha) and Population Health Sciences (Hu), Geisinger, Danville, Pa.; Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei (Feng)
| | - Stephan Heckers
- Division of Genetic Medicine, Department of Medicine, and Vanderbilt Genetics Institute (Kang, Morley, Han, Ruderfer), Department of Psychiatry (Castro, Kim, Ge, McCoy, Perlis) and Center for Quantitative Health (Castro, Kim, McCoy, Perlis), Massachusetts General Hospital, Boston; Research Information Science and Computing, Mass General Brigham, Somerville, Mass. (Castro); Department of Psychiatry, Center for Disease Neurogenomics, Friedman Brain Institute, Department of Genetics and Genomic Sciences, Icahn Institute for Data Science and Genomic Technology, and Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York (Venkatesh, Burstein, Voloudakis, Roussos); Mental Illness Research, Education, and Clinical Center (VISN 2 South), James J. Peters VA Medical Center, Bronx, N.Y. (Venkatesh, Burstein, Voloudakis, Roussos); Autism and Developmental Medicine Institute, Geisinger, Lewisburg, Pa. (Linnér, Chabris); Department of Economics, Leiden University, Leiden, the Netherlands (Linnér); Phenomic Analytics and Clinical Data Core (Rocha) and Population Health Sciences (Hu), Geisinger, Danville, Pa.; Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei (Feng)
| | - Georgios Voloudakis
- Division of Genetic Medicine, Department of Medicine, and Vanderbilt Genetics Institute (Kang, Morley, Han, Ruderfer), Department of Psychiatry (Castro, Kim, Ge, McCoy, Perlis) and Center for Quantitative Health (Castro, Kim, McCoy, Perlis), Massachusetts General Hospital, Boston; Research Information Science and Computing, Mass General Brigham, Somerville, Mass. (Castro); Department of Psychiatry, Center for Disease Neurogenomics, Friedman Brain Institute, Department of Genetics and Genomic Sciences, Icahn Institute for Data Science and Genomic Technology, and Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York (Venkatesh, Burstein, Voloudakis, Roussos); Mental Illness Research, Education, and Clinical Center (VISN 2 South), James J. Peters VA Medical Center, Bronx, N.Y. (Venkatesh, Burstein, Voloudakis, Roussos); Autism and Developmental Medicine Institute, Geisinger, Lewisburg, Pa. (Linnér, Chabris); Department of Economics, Leiden University, Leiden, the Netherlands (Linnér); Phenomic Analytics and Clinical Data Core (Rocha) and Population Health Sciences (Hu), Geisinger, Danville, Pa.; Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei (Feng)
| | - Christopher Chabris
- Division of Genetic Medicine, Department of Medicine, and Vanderbilt Genetics Institute (Kang, Morley, Han, Ruderfer), Department of Psychiatry (Castro, Kim, Ge, McCoy, Perlis) and Center for Quantitative Health (Castro, Kim, McCoy, Perlis), Massachusetts General Hospital, Boston; Research Information Science and Computing, Mass General Brigham, Somerville, Mass. (Castro); Department of Psychiatry, Center for Disease Neurogenomics, Friedman Brain Institute, Department of Genetics and Genomic Sciences, Icahn Institute for Data Science and Genomic Technology, and Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York (Venkatesh, Burstein, Voloudakis, Roussos); Mental Illness Research, Education, and Clinical Center (VISN 2 South), James J. Peters VA Medical Center, Bronx, N.Y. (Venkatesh, Burstein, Voloudakis, Roussos); Autism and Developmental Medicine Institute, Geisinger, Lewisburg, Pa. (Linnér, Chabris); Department of Economics, Leiden University, Leiden, the Netherlands (Linnér); Phenomic Analytics and Clinical Data Core (Rocha) and Population Health Sciences (Hu), Geisinger, Danville, Pa.; Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei (Feng)
| | - Panos Roussos
- Division of Genetic Medicine, Department of Medicine, and Vanderbilt Genetics Institute (Kang, Morley, Han, Ruderfer), Department of Psychiatry (Castro, Kim, Ge, McCoy, Perlis) and Center for Quantitative Health (Castro, Kim, McCoy, Perlis), Massachusetts General Hospital, Boston; Research Information Science and Computing, Mass General Brigham, Somerville, Mass. (Castro); Department of Psychiatry, Center for Disease Neurogenomics, Friedman Brain Institute, Department of Genetics and Genomic Sciences, Icahn Institute for Data Science and Genomic Technology, and Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York (Venkatesh, Burstein, Voloudakis, Roussos); Mental Illness Research, Education, and Clinical Center (VISN 2 South), James J. Peters VA Medical Center, Bronx, N.Y. (Venkatesh, Burstein, Voloudakis, Roussos); Autism and Developmental Medicine Institute, Geisinger, Lewisburg, Pa. (Linnér, Chabris); Department of Economics, Leiden University, Leiden, the Netherlands (Linnér); Phenomic Analytics and Clinical Data Core (Rocha) and Population Health Sciences (Hu), Geisinger, Danville, Pa.; Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei (Feng)
| | - Thomas H McCoy
- Division of Genetic Medicine, Department of Medicine, and Vanderbilt Genetics Institute (Kang, Morley, Han, Ruderfer), Department of Psychiatry (Castro, Kim, Ge, McCoy, Perlis) and Center for Quantitative Health (Castro, Kim, McCoy, Perlis), Massachusetts General Hospital, Boston; Research Information Science and Computing, Mass General Brigham, Somerville, Mass. (Castro); Department of Psychiatry, Center for Disease Neurogenomics, Friedman Brain Institute, Department of Genetics and Genomic Sciences, Icahn Institute for Data Science and Genomic Technology, and Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York (Venkatesh, Burstein, Voloudakis, Roussos); Mental Illness Research, Education, and Clinical Center (VISN 2 South), James J. Peters VA Medical Center, Bronx, N.Y. (Venkatesh, Burstein, Voloudakis, Roussos); Autism and Developmental Medicine Institute, Geisinger, Lewisburg, Pa. (Linnér, Chabris); Department of Economics, Leiden University, Leiden, the Netherlands (Linnér); Phenomic Analytics and Clinical Data Core (Rocha) and Population Health Sciences (Hu), Geisinger, Danville, Pa.; Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei (Feng)
| | - Colin G Walsh
- Division of Genetic Medicine, Department of Medicine, and Vanderbilt Genetics Institute (Kang, Morley, Han, Ruderfer), Department of Psychiatry (Castro, Kim, Ge, McCoy, Perlis) and Center for Quantitative Health (Castro, Kim, McCoy, Perlis), Massachusetts General Hospital, Boston; Research Information Science and Computing, Mass General Brigham, Somerville, Mass. (Castro); Department of Psychiatry, Center for Disease Neurogenomics, Friedman Brain Institute, Department of Genetics and Genomic Sciences, Icahn Institute for Data Science and Genomic Technology, and Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York (Venkatesh, Burstein, Voloudakis, Roussos); Mental Illness Research, Education, and Clinical Center (VISN 2 South), James J. Peters VA Medical Center, Bronx, N.Y. (Venkatesh, Burstein, Voloudakis, Roussos); Autism and Developmental Medicine Institute, Geisinger, Lewisburg, Pa. (Linnér, Chabris); Department of Economics, Leiden University, Leiden, the Netherlands (Linnér); Phenomic Analytics and Clinical Data Core (Rocha) and Population Health Sciences (Hu), Geisinger, Danville, Pa.; Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei (Feng)
| | - Roy H Perlis
- Division of Genetic Medicine, Department of Medicine, and Vanderbilt Genetics Institute (Kang, Morley, Han, Ruderfer), Department of Psychiatry (Castro, Kim, Ge, McCoy, Perlis) and Center for Quantitative Health (Castro, Kim, McCoy, Perlis), Massachusetts General Hospital, Boston; Research Information Science and Computing, Mass General Brigham, Somerville, Mass. (Castro); Department of Psychiatry, Center for Disease Neurogenomics, Friedman Brain Institute, Department of Genetics and Genomic Sciences, Icahn Institute for Data Science and Genomic Technology, and Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York (Venkatesh, Burstein, Voloudakis, Roussos); Mental Illness Research, Education, and Clinical Center (VISN 2 South), James J. Peters VA Medical Center, Bronx, N.Y. (Venkatesh, Burstein, Voloudakis, Roussos); Autism and Developmental Medicine Institute, Geisinger, Lewisburg, Pa. (Linnér, Chabris); Department of Economics, Leiden University, Leiden, the Netherlands (Linnér); Phenomic Analytics and Clinical Data Core (Rocha) and Population Health Sciences (Hu), Geisinger, Danville, Pa.; Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei (Feng)
| | - Douglas M Ruderfer
- Division of Genetic Medicine, Department of Medicine, and Vanderbilt Genetics Institute (Kang, Morley, Han, Ruderfer), Department of Psychiatry (Castro, Kim, Ge, McCoy, Perlis) and Center for Quantitative Health (Castro, Kim, McCoy, Perlis), Massachusetts General Hospital, Boston; Research Information Science and Computing, Mass General Brigham, Somerville, Mass. (Castro); Department of Psychiatry, Center for Disease Neurogenomics, Friedman Brain Institute, Department of Genetics and Genomic Sciences, Icahn Institute for Data Science and Genomic Technology, and Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York (Venkatesh, Burstein, Voloudakis, Roussos); Mental Illness Research, Education, and Clinical Center (VISN 2 South), James J. Peters VA Medical Center, Bronx, N.Y. (Venkatesh, Burstein, Voloudakis, Roussos); Autism and Developmental Medicine Institute, Geisinger, Lewisburg, Pa. (Linnér, Chabris); Department of Economics, Leiden University, Leiden, the Netherlands (Linnér); Phenomic Analytics and Clinical Data Core (Rocha) and Population Health Sciences (Hu), Geisinger, Danville, Pa.; Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei (Feng)
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9
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Hu X, Guo C. Temporal trends and cohort variations of gender-specific major depressive disorders incidence in China: analysis based on the age-period-cohort-interaction model. Gen Psychiatr 2024; 37:e101479. [PMID: 38962431 PMCID: PMC11217997 DOI: 10.1136/gpsych-2023-101479] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/09/2023] [Accepted: 05/26/2024] [Indexed: 07/05/2024] Open
Abstract
Background Major depressive disorders (MDDs) impose substantial burdens on individuals and society; however, further detailed analysis is still needed for its long-term trends. Aims This study aimed to analyse the gender-specific temporal trends and cohort variations of MDD incidence among Chinese residents over the past three decades. Methods Employing the age-period-cohort-interaction model and leveraging data from the Global Burden of Disease Study 2019, this research identified and analysed incidence trends of MDD among Chinese males and females aged 5-94 years from 1990 to 2019 across three dimensions, encompassing age, period and birth cohort. Results The analysis reveals age-related effects, indicating heightened MDD risk among adolescents and older adults. Specifically, individuals entering the older adulthood at the age of 65-69 significantly increased the risk of MDD by 64.9%. People aged 90-94 years witnessed a 105.4% increase in MDD risk for the overall population, with females and males in this age group experiencing a 75.1% and 103.4% increase, respectively. In terms of period effects, the risk of MDD displayed a decline from 1990 to 1994, followed by a rebound in 2008. Cohort effects demonstrated diverse generational patterns, with generation I and generation III manifesting opposing 'age-as-level' trends. Generation II and generation IV exhibited 'cumulative disadvantage' and 'cumulative advantage' patterns, respectively. Age effects indicated an overall higher risk of MDD incidence in females, while cohort effects showed greater variations of MDD incidence among females. Conclusions The study underscores the substantial effects of age, period and cohort on MDD across genders in China. Priority interventions targeting vulnerable populations, including children, adolescents, older adults, females and the post-millennium birth cohort, are crucial to mitigate the impact of MDD.
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Affiliation(s)
- Xiyuan Hu
- Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Institute of Population Research, Peking University, Beijing, China
| | - Chao Guo
- Institute of Population Research, Peking University, Beijing, China
- APEC Health Science Academy (HeSAY), Peking University, Beijing, China
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10
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Miron S, Kalanthroff E. Negative emotional cues improve free recall of positive and neutral words in unmedicated patients with major depressive disorder. Cogn Behav Ther 2024; 53:409-422. [PMID: 38477620 DOI: 10.1080/16506073.2024.2328288] [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: 10/13/2023] [Accepted: 03/04/2024] [Indexed: 03/14/2024]
Abstract
Individuals with major depressive disorder (MDD) exhibit attentional biases toward negative, mood-congruent stimuli while filtering out positive and neutral stimuli, resulting in memory biases to negative content. While attentional and memory biases in MDD have been extensively studied, the underlying mechanisms of these biases remain unclear. The current study investigates a novel model proposing that exposure to negative emotional cues triggers a transient "attentional window" in individuals with MDD, leading to heightened and deeper cognitive processing of any subsequent information, irrespective of its content. Forty-two unmedicated patients with MDD and no comorbid disorder and 41 healthy controls, completed six blocks of the emotional memory task, in which they were asked to watch a short video (negative, neutral, or positive valence) followed by a memory test on a list of neutral or positive valance words. Results indicated that participants with MDD, but not healthy controls, had better recall performance after a negative video compared to after neutral or positive videos, and that this effect occurred for both neutral and positive word-lists. These findings provide evidence that participants with MDD engage in deeper information processing following exposure to negative emotional stimuli. Potential clinical implications are discussed.
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Affiliation(s)
- Sapir Miron
- Department of Psychology, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Eyal Kalanthroff
- Department of Psychology, The Hebrew University of Jerusalem, Jerusalem, Israel
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11
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Xu L, Wang S, Wu L, Cao H, Fan Y, Wang X, Yu Z, Zhou M, Gao R, Wang J. Coprococcus eutactus screened from healthy adolescent attenuates chronic restraint stress-induced depression-like changes in adolescent mice: Potential roles in the microbiome and neurotransmitter modulation. J Affect Disord 2024; 356:737-752. [PMID: 38649105 DOI: 10.1016/j.jad.2024.04.050] [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: 09/19/2023] [Revised: 02/20/2024] [Accepted: 04/11/2024] [Indexed: 04/25/2024]
Abstract
The onset of depression commonly occurs in adolescence; therefore, depressive prevention and intervention are pivotal during this period. It is becoming evident that neurotransmitter imbalance and gut microbiota dysbiosis are prominent causes of depression. However, the underlying links and mechanisms remain poorly understood. In this study, with 16S ribosomal RNA gene sequencing, genus Coprococcus markedly differentiated between the healthy and unmedicated depressive adolescents. Based on this, transplantation of Coprococcus eutactus (C.e.) was found to dramatically ameliorate the chronic restraint stress (CRS) induced depression-like changes and prevent synaptic loss and glial-stimulated neuroinflammation in mice. The Ultra-high performance liquid chromatography tandem mass spectrometry analysis (UHPLC-MS/MS) further showed that neurotoxic neurotransmitters in kynurenine pathway (KP) such as 3-hydroxykynurenine (3-HK) and 3-hydroxyanthranilic acid (3-HAA) decreased in mouse brains, mechanistically deciphering the transfer of the tryptophan metabolic pathway to serotonin metabolic signaling in the brain after C.e. treatment, which was also verified in the colon. Molecularly, blockage of KP activities mediated by C.e. was ascribed to the restraint of the limit-step enzymes responsible for kynurenine, 3-HK, and quinolinic acid generation. In the colon, C.e. treatment significantly recovered goblet cells and mucus secretion in CRS mice which may ascribe to the rebalance of the disordered gut microbiota, especially Akkermansia, Roseburia, Rikenella, Blautia, and Alloprevotella. Taken together, the current study reveals for the first time the beneficial effects and potential mechanisms of C.e. in ameliorating CRS-induced depression, unraveling the direct links between C.e. treatment and neurotransmitter rebalance, which may provide efficacious therapeutic avenues for adolescent depressive intervention.
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Affiliation(s)
- Liuting Xu
- Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China; Department of Hygienic Analysis and Detection, The Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Sizhe Wang
- Department of Hygienic Analysis and Detection, The Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Linlin Wu
- Department of Physical and Chemical Inspection, The Affiliated Wuxi Center for Disease Control and Prevention of Nanjing Medical University, Wuxi Center for Disease Control and Prevention, Wuxi, China
| | - Hui Cao
- Department of Hygienic Analysis and Detection, Nanjing Qixia District Center for Disease Control and Prevention, Nanjing, China
| | - Yichun Fan
- Department of Hygienic Analysis and Detection, The Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Xi Wang
- Department of Hygienic Analysis and Detection, The Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Zheng Yu
- Department of Hygienic Analysis and Detection, The Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Manfei Zhou
- Department of Hygienic Analysis and Detection, The Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Rong Gao
- Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China; Department of Hygienic Analysis and Detection, The Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing, China.
| | - Jun Wang
- Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China; Department of Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing, China.
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12
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Jahan-Mihan A, Stevens P, Medero-Alfonso S, Brace G, Overby LK, Berg K, Labyak C. The Role of Water-Soluble Vitamins and Vitamin D in Prevention and Treatment of Depression and Seasonal Affective Disorder in Adults. Nutrients 2024; 16:1902. [PMID: 38931257 PMCID: PMC11206829 DOI: 10.3390/nu16121902] [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: 05/02/2024] [Revised: 06/07/2024] [Accepted: 06/11/2024] [Indexed: 06/28/2024] Open
Abstract
Depression is a major global health concern expected to worsen by 2030. In 2019, 28 million individuals were affected by depressive disorders. Dietary and supplemental vitamins show overall favorable preventative and therapeutic effects on depression. B vitamins are crucial for neurological function and mood regulation. Deficiencies in these vitamins are linked to depression. Studies on individual B vitamins show promise in improving depressive symptoms, particularly thiamin, riboflavin, niacin, and folate. Vitamin C deficiency may heighten depressive symptoms, but its exact role is not fully understood. Seasonal Affective Disorder (SAD) is associated with insufficient sunlight exposure and vitamin D deficiency. Vitamin D supplementation for SAD shows inconsistent results due to methodological variations. Further investigation is needed to understand the mechanisms of vitamins in depression treatment. Moreover, more research on SAD and light therapy's efficacy and underlying mechanisms involving photoreceptors, enzymes, and immune markers is needed. Although dietary and supplemental vitamins show overall favorable preventative and therapeutic effects on depression, dietitians treating psychiatric disorders face challenges due to diverse study designs, making direct comparisons difficult. Therefore, this article reviews the current literature to assess the role of dietary and supplemental vitamins in the prevention and treatment of depression. This review found that, although evidence supports the role of B vitamins and vitamins C and D in preventing and treating depression, further research is needed to clarify their mechanisms of action and determine the most effective intervention strategies.
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Affiliation(s)
- Alireza Jahan-Mihan
- Department of Nutrition and Dietetics, University of North Florida, 1 UNF Dr., Jacksonville, FL 32224, USA; (P.S.); (S.M.-A.); (G.B.); (L.K.O.); (K.B.); (C.L.)
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13
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Perez N, He N, Wright F, Condon E, Weiser S, Aouizerat B. Social determinants of inflammatory markers linking depression and type 2 diabetes among women: A scoping review. J Psychosom Res 2024; 184:111831. [PMID: 38905780 DOI: 10.1016/j.jpsychores.2024.111831] [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: 03/14/2024] [Revised: 06/03/2024] [Accepted: 06/10/2024] [Indexed: 06/23/2024]
Abstract
OBJECTIVE Inflammation is implicated in the pathophysiology of depression and type 2 diabetes (T2D) and is linked to social determinants of health (SDoH) associated with socioeconomic disadvantage. The objective of this review is to identify and map the range of SDoHs associated with inflammation in depression, T2D, or their co-occurrence among women. METHODS PubMed, CINAHL, PsychINFO, and Web of Science were searched March-July 2023 to identify studies where 1) an SDoH was a predictor or independent variable, 2) depression or T2D was a clinical focus, 3) inflammatory markers were collected, and 4) analysis was specific to women. We used the National Institute on Minority Health and Health Disparities research framework to guide searching SDoHs, organize findings, and identify gaps. RESULTS Of the 1135 studies retrieved, 46 met criteria. Within the reviewed studies, the most used inflammatory measures were C-reactive protein, interleukin-6, and tumor necrosis factor-α, and the most studied SDoHs were early life stress and socioeconomic status. Individual and interpersonal-level variables comprised the bulk of SDoHs in the included studies, while few to no studies examined built environment (n = 6) or health system level (n = 0) factors. Disadvantageous SDoHs were associated with higher levels of inflammation across the included studies. CONCLUSION The scope and intersection of depression and T2D represent a syndemic that contributes to and results from socioeconomic inequities and disproportionately affects women. Simultaneous inclusion of social and inflammatory measures, particularly understudied SDoHs, is needed to clarify potent targets aimed at advancing health and equity.
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Affiliation(s)
- Nicole Perez
- New York University, Rory Meyers College of Nursing, 433 1(st) Ave, New York, NY 10010, USA.
| | - Ning He
- New York University, Silver School of Social Work, 1 Washington Squire North, New York, NY 10003, United States of America.
| | - Fay Wright
- Northwell Health Northern Westchester Hospital, 400 East Main Street, Mt Kisco, NY 10549, United States of America.
| | - Eileen Condon
- University of Connecticut, College of Nursing, 231 Glenbrook Rd, Storrs, CT 06269, United States of America.
| | - Sheri Weiser
- University of San Francisco, School of Medicine, 533 Parnassus Ave, San Francisco, CA 94143, United States of America.
| | - Brad Aouizerat
- New York University, College of Dentistry, 345 E 24th St, New York, NY 10010, United States of America; University of San Francisco, School of Pharmacy, 513 Parnassus Ave, San Francisco, CA 94143, United States of America.
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14
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Hou X, Liu R, Zhou Y, Guan L, Zhou J, Liu J, Liu M, Yuan X, Feng Y, Chen X, Yu A. Shared and unique alterations of large-scale network connectivity in drug-free adolescent-onset and adult-onset major depressive disorder. Transl Psychiatry 2024; 14:255. [PMID: 38866779 PMCID: PMC11169372 DOI: 10.1038/s41398-024-02974-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/01/2024] [Revised: 05/22/2024] [Accepted: 06/03/2024] [Indexed: 06/14/2024] Open
Abstract
Differences in clinical manifestations and biological underpinnings between Major Depressive Disorder (MDD) onset during adolescence and adulthood have been posited in previous studies, implying an influential role of age of onset (AOO) in the clinical subtyping and therapeutic approaches to MDD. However, direct comparisons between the two cohorts and their age-matched controls have been lacking in extant investigations. In this investigation, 156 volunteers participated, comprising 46 adolescents with MDD (adolescent-onset group), 35 adults with MDD (adult-onset group), 19 healthy adolescents, and 56 healthy adults. Resting-state functional MRI scans were undergone by all participants. Large-scale network analyses were applied. Subsequently, a 2 × 2 ANOVA was employed to analyze the main effects of diagnosis, age, and their interaction effect on functional connectivity (FC). Furthermore, regression analysis was employed to scrutinize the association between anomalous FC and HAMD sub-scores. Increased FC in visual network (VN), limbic network (LN), VN-dorsal attention network (DAN), VN-LN, and LN-Default Mode (DMN) was found in both adolescent-onset and adult-onset MDD; however, the increased FC in DAN and LN were only found in adult-onset MDD and the decreased FC in DAN was only found in adolescent-onset MDD. Additionally, the relationship between HAMD factor 1 anxiety somatization and altered FC of DAN, VN, and VN-DAN was moderated by AOO. In conclusion, shared and distinctive large-scale network alterations in adolescent-onset and adult-onset MDD patients were suggested by our findings, providing valuable contributions towards refining clinical subtyping and treatment approaches for MDD.
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Affiliation(s)
- Ximan Hou
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
- Department of Radiology, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Rui Liu
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Yuan Zhou
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Lin Guan
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Jingjing Zhou
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Jing Liu
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Mengqi Liu
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Xiaofei Yuan
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Yuan Feng
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Xu Chen
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China.
| | - Aihong Yu
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China.
- Department of Radiology, Beijing Anding Hospital, Capital Medical University, Beijing, China.
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15
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Zeng N, Li C, Mei H, Wu S, Liu C, Wang X, Shi J, Lu L, Bao Y. Bidirectional Association between Sarcopenia and Depressive Symptoms among Chinese Middle- and Older-Aged Adults: Longitudinal Observational Study. Brain Sci 2024; 14:593. [PMID: 38928593 PMCID: PMC11201564 DOI: 10.3390/brainsci14060593] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2024] [Revised: 05/20/2024] [Accepted: 05/23/2024] [Indexed: 06/28/2024] Open
Abstract
BACKGROUND The study aimed to examine the bidirectional relationship between sarcopenia and depressive symptoms in a national, community-based cohort study, despite the unclear temporal sequence demonstrated previously. METHODS Data were derived from four waves (2011 baseline and 2013, 2015, and 2018 follow-ups) of the China Health and Retirement Longitudinal Study (CHARLS). A total of 17,708 participants aged 45 years or older who had baseline data on both sarcopenia status and depressive symptoms in 2011 were included in the study. For the two cohort analyses, a total of 8092 adults without depressive symptoms and 11,292 participants without sarcopenia in 2011 were included. Sarcopenia status was defined according to the Asian Working Group for Sarcopenia 2019 (AWGS 2019) criteria. Depressive symptoms were defined as a score of 20 or higher on the 10-item Center for Epidemiologic Studies Depressive Scale (CES-D-10). Cox proportional hazard regression models were conducted to examine the risk of depressive symptoms and sarcopenia risk, while cross-lagged panel models were used to examine the temporal sequence between depressive symptoms and sarcopenia over time. RESULTS During a total of 48,305.1 person-years follow-up, 1262 cases of incident depressive symptoms were identified. Sarcopenia exhibited a dose-response relationship with a higher risk of depressive symptoms (HR = 1.7, 95%CI: 1.2-2.3 for sarcopenia, and HR = 1.5, 95%CI: 1.2-1.8 for possible sarcopenia, p trend < 0.001). In the second cohort analysis, 240 incident sarcopenia cases were identified over 39,621.1 person-years. Depressive symptoms (HR = 1.5, 95%CI: 1.2-2.0) are significantly associated with a higher risk of developing sarcopenia after multivariable adjustment (p < 0.001, Cross-lagged panel analyses demonstrated that depressive symptoms were associated with subsequent sarcopenia (β = 0.003, p < 0.001). Simultaneously, baseline sarcopenia was also associated with subsequent depressive symptoms (β = 0.428, p < 0.001). CONCLUSION This study identified a bidirectional relationship between depressive symptoms and sarcopenia. It seems more probable that baseline sarcopenia is associated with subsequent depressive symptoms in a stronger pattern than the reverse pathway. The interlinkage indicated that maintaining normal muscle mass and strength may serve as a crucial intervention strategy for alleviating mood disorders.
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Affiliation(s)
- Na Zeng
- School of Public Health, Peking University, Beijing 100191, China; (N.Z.); (H.M.); (S.W.); (C.L.); (X.W.)
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing 100191, China;
| | - Chao Li
- Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China;
| | - Huan Mei
- School of Public Health, Peking University, Beijing 100191, China; (N.Z.); (H.M.); (S.W.); (C.L.); (X.W.)
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing 100191, China;
| | - Shuilin Wu
- School of Public Health, Peking University, Beijing 100191, China; (N.Z.); (H.M.); (S.W.); (C.L.); (X.W.)
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing 100191, China;
| | - Chang Liu
- School of Public Health, Peking University, Beijing 100191, China; (N.Z.); (H.M.); (S.W.); (C.L.); (X.W.)
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing 100191, China;
| | - Xiaokun Wang
- School of Public Health, Peking University, Beijing 100191, China; (N.Z.); (H.M.); (S.W.); (C.L.); (X.W.)
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing 100191, China;
| | - Jie Shi
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing 100191, China;
| | - Lin Lu
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing 100191, China;
- National Clinical Research Center for Mental Disorders, Key of Mental Health, Ministry of Health (Peking University), Peking University Institute of Mental Health, Peking University Sixth Hospital, Beijing 100191, China
- Peking-Tsinghua Centre for Life Sciences and PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing 100191, China
| | - Yanping Bao
- School of Public Health, Peking University, Beijing 100191, China; (N.Z.); (H.M.); (S.W.); (C.L.); (X.W.)
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing 100191, China;
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Yang H, Chen Y, Tao Q, Shi W, Tian Y, Wei Y, Li S, Zhang Y, Han S, Cheng J. Integrative molecular and structural neuroimaging analyses of the interaction between depression and age of onset: A multimodal magnetic resonance imaging study. Prog Neuropsychopharmacol Biol Psychiatry 2024; 134:111052. [PMID: 38871019 DOI: 10.1016/j.pnpbp.2024.111052] [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: 04/08/2024] [Revised: 05/30/2024] [Accepted: 06/10/2024] [Indexed: 06/15/2024]
Abstract
Depression is a neurodevelopmental disorder that exhibits progressive gray matter volume (GMV) atrophy. Research indicates that brain development is influential in depression-induced GMV alterations. However, the interaction between depression and age of onset is not well understood by the underlying molecular and neuropathological mechanisms. Thus, 152 first-episode depression individuals and matched 130 healthy controls (HCs) were recruited to undergo T1-weighted high-resolution magnetic resonance imaging for this study. By two-way ANOVA, age and diagnosis were used as factors when analyzing the interaction of GMV in the participants. Then, spatial correlations between neurotransmitter maps and factor-related volume maps are established. Results illustrate a pronounced antagonistic interaction between depression and age of onset in the right insula, superior temporal gyrus, anterior cingulate gyrus, and orbitofrontal gyrus. Depression-caused reductions in GMV are mainly distributed in thalamic-limbic-cortical regions, regardless of age. For the main effect of age, adults exhibit brain atrophy in frontal, cerebellum, parietal, and temporal lobe structures. Cross-modal correlations showed that GMV changes in the interactive regions were linked with the serotonergic system and dopaminergic systems. Summarily, our results reveal the interaction between depression and age of onset in neurobiological mechanisms, which provide hints for future treatment of different ages of depression.
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Affiliation(s)
- Huiting Yang
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Zhengzhou Key Laboratory of brain function and cognitive magnetic resonance imaging, Zhengzhou, China; Henan Engineering Technology Research Center for detection and application of brain function, Zhengzhou, China; Henan Engineering Research Center of medical imaging intelligent diagnosis and treatment, Zhengzhou, China; Henan key laboratory of imaging intelligence research, Zhengzhou, China; Henan Engineering Research Center of Brain Function Development and Application, Zhengzhou, China
| | - Yuan Chen
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Zhengzhou Key Laboratory of brain function and cognitive magnetic resonance imaging, Zhengzhou, China; Henan Engineering Technology Research Center for detection and application of brain function, Zhengzhou, China; Henan Engineering Research Center of medical imaging intelligent diagnosis and treatment, Zhengzhou, China; Henan key laboratory of imaging intelligence research, Zhengzhou, China; Henan Engineering Research Center of Brain Function Development and Application, Zhengzhou, China
| | - Qiuying Tao
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Zhengzhou Key Laboratory of brain function and cognitive magnetic resonance imaging, Zhengzhou, China; Henan Engineering Technology Research Center for detection and application of brain function, Zhengzhou, China; Henan Engineering Research Center of medical imaging intelligent diagnosis and treatment, Zhengzhou, China; Henan key laboratory of imaging intelligence research, Zhengzhou, China; Henan Engineering Research Center of Brain Function Development and Application, Zhengzhou, China
| | - Wenqing Shi
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Zhengzhou Key Laboratory of brain function and cognitive magnetic resonance imaging, Zhengzhou, China; Henan Engineering Technology Research Center for detection and application of brain function, Zhengzhou, China; Henan Engineering Research Center of medical imaging intelligent diagnosis and treatment, Zhengzhou, China; Henan key laboratory of imaging intelligence research, Zhengzhou, China; Henan Engineering Research Center of Brain Function Development and Application, Zhengzhou, China
| | - Ya Tian
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Zhengzhou Key Laboratory of brain function and cognitive magnetic resonance imaging, Zhengzhou, China; Henan Engineering Technology Research Center for detection and application of brain function, Zhengzhou, China; Henan Engineering Research Center of medical imaging intelligent diagnosis and treatment, Zhengzhou, China; Henan key laboratory of imaging intelligence research, Zhengzhou, China; Henan Engineering Research Center of Brain Function Development and Application, Zhengzhou, China
| | - Yarui Wei
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Zhengzhou Key Laboratory of brain function and cognitive magnetic resonance imaging, Zhengzhou, China; Henan Engineering Technology Research Center for detection and application of brain function, Zhengzhou, China; Henan Engineering Research Center of medical imaging intelligent diagnosis and treatment, Zhengzhou, China; Henan key laboratory of imaging intelligence research, Zhengzhou, China; Henan Engineering Research Center of Brain Function Development and Application, Zhengzhou, China
| | - Shuying Li
- Department of Psychiatry, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yong Zhang
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Zhengzhou Key Laboratory of brain function and cognitive magnetic resonance imaging, Zhengzhou, China; Henan Engineering Technology Research Center for detection and application of brain function, Zhengzhou, China; Henan Engineering Research Center of medical imaging intelligent diagnosis and treatment, Zhengzhou, China; Henan key laboratory of imaging intelligence research, Zhengzhou, China; Henan Engineering Research Center of Brain Function Development and Application, Zhengzhou, China.
| | - Shaoqiang Han
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Zhengzhou Key Laboratory of brain function and cognitive magnetic resonance imaging, Zhengzhou, China; Henan Engineering Technology Research Center for detection and application of brain function, Zhengzhou, China; Henan Engineering Research Center of medical imaging intelligent diagnosis and treatment, Zhengzhou, China; Henan key laboratory of imaging intelligence research, Zhengzhou, China; Henan Engineering Research Center of Brain Function Development and Application, Zhengzhou, China.
| | - Jingliang Cheng
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Zhengzhou Key Laboratory of brain function and cognitive magnetic resonance imaging, Zhengzhou, China; Henan Engineering Technology Research Center for detection and application of brain function, Zhengzhou, China; Henan Engineering Research Center of medical imaging intelligent diagnosis and treatment, Zhengzhou, China; Henan key laboratory of imaging intelligence research, Zhengzhou, China; Henan Engineering Research Center of Brain Function Development and Application, Zhengzhou, China.
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Xu YH, Wu F, Yu S, Guo YN, Zhao RR, Zhang RL. Therapeutic sleep deprivation for major depressive disorder: A randomized controlled trial. J Affect Disord 2024; 361:10-16. [PMID: 38844163 DOI: 10.1016/j.jad.2024.06.005] [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: 10/11/2023] [Revised: 04/01/2024] [Accepted: 06/02/2024] [Indexed: 06/10/2024]
Abstract
BACKGROUND Major depressive disorder (MDD) is treated primarily using antidepressant drugs, but clinical effects may be delayed for weeks to months. This study investigated the efficacy of brief therapeutic sleep deprivation (TSD) for inducing rapid improvements in MDD symptoms. METHODS From November 2020 to February 2023, 54 inpatients with MDD were randomly allocated to TSD and Control groups. The TSD group (23 cases) remained awake for 36 h, while the Control group (31 cases) maintained regular sleep patterns. All participants continued regular drug therapy. Mood was assessed using the 24-item Hamilton Depression Scale (HAMD-24) at baseline and post-intervention in both groups. In the TSD group, the Visual Analogue Scale (VAS) was utilized to evaluate subjective mood during and after the intervention. Cognitive function was assessed at baseline and post-intervention using the Montreal Cognitive Assessment (MoCA). Objective sleep parameters were recorded in the TSD group by polysomnography. The follow-up period spanned one week. RESULTS HAMD-24 scores did not differ between groups at baseline or post-intervention. However, the clinical response rate was 34.8 % higher in the TSD group on day 3 post-intervention compared to the Control group (3.2 %), but not sustained by day 7. Moreover, responders demonstrated a faster improvement in the VAS score during TSD than non-responders (p = 0.047). There were no significant differences in MoCA scores or objective sleep parameters between the groups. LIMITATIONS Small sample size and notable attrition rate. CONCLUSIONS Therapeutic sleep deprivation can rapidly improve MDD symptoms without influencing sleep parameters or cognitive functions. Assessment of longer-term effects and identification of factors predictive of TSD response are warranted.
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Affiliation(s)
- Ya-Hui Xu
- Department of Sleep Medicine, Second Affiliated Hospital of Xinxiang Medical University; Henan Collaborative Innovation Center for Prevention and Treatment of Mental Disorders; Brain Institute, Henan Academy of Innovations in Medical Science, Xinxiang, China.
| | - Fang Wu
- Department of Sleep Medicine, Second Affiliated Hospital of Xinxiang Medical University; Henan Collaborative Innovation Center for Prevention and Treatment of Mental Disorders; Brain Institute, Henan Academy of Innovations in Medical Science, Xinxiang, China
| | - Shuai Yu
- Department of Sleep Medicine, Second Affiliated Hospital of Xinxiang Medical University; Henan Collaborative Innovation Center for Prevention and Treatment of Mental Disorders; Brain Institute, Henan Academy of Innovations in Medical Science, Xinxiang, China
| | - Ya-Nan Guo
- Department of Sleep Medicine, Second Affiliated Hospital of Xinxiang Medical University; Henan Collaborative Innovation Center for Prevention and Treatment of Mental Disorders; Brain Institute, Henan Academy of Innovations in Medical Science, Xinxiang, China
| | - Rong-Rong Zhao
- Psychiatry Department, First Affiliated Hospital of Henan University of Science and Technology, Luoyang, China
| | - Rui-Ling Zhang
- Department of Sleep Medicine, Second Affiliated Hospital of Xinxiang Medical University; Henan Collaborative Innovation Center for Prevention and Treatment of Mental Disorders; Brain Institute, Henan Academy of Innovations in Medical Science, Xinxiang, China
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18
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Chen Y, Yang H, Zhang Y, Zhou L, Lin J, Wang Y. Night shift work, genetic risk, and the risk of depression: A prospective cohort study. J Affect Disord 2024; 354:735-742. [PMID: 38548197 DOI: 10.1016/j.jad.2024.03.134] [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: 05/11/2023] [Revised: 03/07/2024] [Accepted: 03/24/2024] [Indexed: 04/01/2024]
Abstract
BACKGROUND Genetic factors and night shift work both contribute to the risk of depression, but whether the association of night shift work with depression varies by genetic predisposition remains unclear. OBJECTIVES To assess whether night shift work is associated with a higher risk of depression regardless of genetic predisposition. METHODS We used data from the UK biobank of 247,828 adults aged 38-71 free of depression at baseline from March 13, 2006, to October 1, 2010. Genetic predisposition to depression was assessed using polygenic risk scores (PRS) weighted sums of genetic variant indicator variables and classified as low (lowest tertile), intermediate (tertile 2), and high (highest tertile). Night shift work exposures were collected using a touchscreen questionnaire and were divided into four categories. RESULTS After a median follow-up of 12.7 years, 7315 participants developed depression. Compared with day workers, HRs (95 % CIs) of depression were 1.28 (1.19-1.38) for shift work, but never or rarely night shifts, 1.32 (1.20-1.45) for irregular night shifts, and 1.20 (1.07-1.34) for permanent night shifts. Considering lifetime employment and compared with never shift workers, >8 nights/month (HR: 1.40; 95 % CI: 1.19-1.66) and <10 years (HR: 1.30; 95 % CI: 1.09-1.54) of night shift work were associated with a higher risk of depression. In joint effect analyses, compared to participants with low genetic predisposition and day workers, the HRs (95 % CIs) of depression were 1.49 (1.32-1.69) in those with high genetic predisposition and shift work, but never or rarely night shifts, and 1.36 (1.20-1.55) for those with high genetic predisposition and irregular/permanent night shifts. In addition, there was neither multiplicative nor additive interaction between genetic predisposition and night shift work on the risk of depression. CONCLUSIONS Night shift work was associated with an increased risk of depression regardless of genetic risk.
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Affiliation(s)
- Yanchun Chen
- School of Public Health, Tianjin Medical University, Tianjin, China
| | - Hongxi Yang
- School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China
| | - Yuan Zhang
- School of Public Health, Tianjin Medical University, Tianjin, China
| | - Lihui Zhou
- School of Public Health, Tianjin Medical University, Tianjin, China
| | - Jing Lin
- School of Public Health, Tianjin Medical University, Tianjin, China
| | - Yaogang Wang
- School of Public Health, Tianjin Medical University, Tianjin, China.
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Arvin A, Taebi M, Khazaeipour Z, Najafi A, Tafakhori A, Ranji-Bourachaloo S, Amirifard H. Sleep profiles in epilepsy patients undergoing monotherapy and polytherapy: A comparative cross-sectional study. Epilepsy Behav 2024; 155:109799. [PMID: 38642528 DOI: 10.1016/j.yebeh.2024.109799] [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: 02/04/2024] [Revised: 04/14/2024] [Accepted: 04/14/2024] [Indexed: 04/22/2024]
Abstract
OBJECTIVE Sleep disturbances commonly reported among epilepsy patients have a reciprocal relationship with the condition; While epilepsy and anti-seizure medications (ASMs) can disrupt sleep structure, disturbed sleep can also exacerbate the frequency of seizures. This study explored subjective sleep disturbances and compared sleep profiles in patients who underwent ASM monotherapy and polytherapy. METHODS We enrolled 176 epilepsy patients who completed a structured questionnaire containing demographic and clinical information and the Persian versions of the Pittsburgh Sleep Quality Index (PSQI), Insomnia Severity Index (ISI), Epworth Sleepiness Scale (ESS), and Patient Health Questionnaire-9 (PHQ-9) to evaluate sleep quality, insomnia, excessive daytime sleepiness (EDS), and depressive symptoms, respectively. Chi-square and Mann-Whitney U tests were employed to analyze the association between variables, and logistic regression analysis was conducted to identify factors predicting sleep disturbances. RESULTS Comparative analysis of mono/polytherapy groups revealed a significantly higher prevalence of insomnia and EDS among patients on polytherapy compared to monotherapy. However, no significant difference was found in sleep quality between the two groups. Logistic regression analysis revealed that a depressive mood serves as a robust predictor for sleep issues, whereas treatment type did not emerge as an independent predictor of sleep disturbances. CONCLUSION Our findings suggest that an increased number of ASMs does not inherently result in a higher incidence of sleep issues. Therefore, multiple ASMs may be prescribed when necessary to achieve improved seizure control. Furthermore, this study underscores the importance of comprehensive management that addresses seizure control and treating affective symptoms in individuals with epilepsy.
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Affiliation(s)
- Alireza Arvin
- School of Medicine, Tehran University of Medical Sciences (TUMS), Iran; Center for Orthopedic Trans-Disciplinary Applied Research, Tehran University of Medical Sciences, Tehran, Iran
| | - Morvarid Taebi
- School of Medicine, Tehran University of Medical Sciences (TUMS), Iran; Tehran Heart Center, Cardiovascular Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Zahra Khazaeipour
- Brain & Spinal Cord Injury Research Center, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Arezu Najafi
- Occupational Sleep Research Center, Baharloo Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Abbas Tafakhori
- Iranian Center of Neurological Research, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Sakineh Ranji-Bourachaloo
- Iranian Center of Neurological Research, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Hamed Amirifard
- Iranian Center of Neurological Research, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran.
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20
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El Yacoubi M, Altersitz C, Latapie V, Rizkallah E, Arthaud S, Bougarel L, Pereira M, Wierinckx A, El-Hage W, Belzeaux R, Turecki G, Svenningsson P, Martin B, Lachuer J, Vaugeois JM, Jamain S. Two polygenic mouse models of major depressive disorders identify TMEM161B as a potential biomarker of disease in humans. Neuropsychopharmacology 2024; 49:1129-1139. [PMID: 38326457 PMCID: PMC11109134 DOI: 10.1038/s41386-024-01811-8] [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: 08/11/2023] [Revised: 01/17/2024] [Accepted: 01/18/2024] [Indexed: 02/09/2024]
Abstract
Treatments are only partially effective in major depressive disorders (MDD) but no biomarker exists to predict symptom improvement in patients. Animal models are essential tools in the development of antidepressant medications, but while recent genetic studies have demonstrated the polygenic contribution to MDD, current models are limited to either mimic the effect of a single gene or environmental factor. We developed in the past a model of depressive-like behaviors in mice (H/Rouen), using selective breeding based on behavioral reaction after an acute mild stress in the tail suspension test. Here, we propose a new mouse model of depression (H-TST) generated from a more complex genetic background and based on the same selection process. We first demonstrated that H/Rouen and H-TST mice had similar phenotypes and were more sensitive to glutamate-related antidepressant medications than selective serotonin reuptake inhibitors. We then conducted an exome sequencing on the two mouse models and showed that they had damaging variants in 174 identical genes, which have also been associated with MDD in humans. Among these genes, we showed a higher expression level of Tmem161b in brain and blood of our two mouse models. Changes in TMEM161B expression level was also observed in blood of MDD patients when compared with controls, and after 8-week treatment with duloxetine, mainly in good responders to treatment. Altogether, our results introduce H/Rouen and H-TST as the two first polygenic animal models of MDD and demonstrate their ability to identify biomarkers of the disease and to develop rapid and effective antidepressant medications.
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Affiliation(s)
- Malika El Yacoubi
- Univ Paris Est Créteil, INSERM, IMRB, Translational Neuropsychiatry, F-94010, Créteil, France
| | - Claire Altersitz
- Univ Paris Est Créteil, INSERM, IMRB, Translational Neuropsychiatry, F-94010, Créteil, France
| | - Violaine Latapie
- Univ Paris Est Créteil, INSERM, IMRB, Translational Neuropsychiatry, F-94010, Créteil, France
| | - Elari Rizkallah
- Univ Paris Est Créteil, INSERM, IMRB, Translational Neuropsychiatry, F-94010, Créteil, France
| | - Sébastien Arthaud
- SLEEP Team, CNRS UMR5292; INSERM U1028; Lyon Neuroscience Research; Center, Lyon, F-69372, France
- University of Lyon 1, Lyon, France
| | - Laure Bougarel
- Univ Paris Est Créteil, INSERM, IMRB, Translational Neuropsychiatry, F-94010, Créteil, France
- NETRIS Pharma, Lyon, France
| | - Marcela Pereira
- Department of Clinical Neuroscience, Karolinska Institute, Solna, Sweden
| | - Anne Wierinckx
- ProfileXpert, SFR Santé Lyon-Est, UCBL UMS 3453 CNRS, US7 INSERM, Lyon, France
| | - Wissam El-Hage
- UMR 1253, iBrain, Université de Tours, CHRU de Tours, INSERM, Tours, France
- Centre Expert Dépression Résistante, Fondation FondaMental, Tours, France
| | - Raoul Belzeaux
- Pôle Universitaire de Psychiatrie, CHU de Montpellier, Montpellier, France
- Fondation FondaMental, Créteil, F-94000, France
| | - Gustavo Turecki
- McGill Group for Suicide Studies, Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - Per Svenningsson
- Department of Clinical Neuroscience, Karolinska Institute, Solna, Sweden
| | - Benoît Martin
- Univ Rennes, Inserm, LTSI (Laboratoire de Traitement du Signal et de l'Image), UMR-1099, F-35000, Rennes, France
| | - Joël Lachuer
- ProfileXpert, SFR Santé Lyon-Est, UCBL UMS 3453 CNRS, US7 INSERM, Lyon, France
| | - Jean-Marie Vaugeois
- Univ Rouen Normandie, Université Caen Normandie, Normandie Univ, ABTE UR 4651, F-76000, Rouen, France
| | - Stéphane Jamain
- Univ Paris Est Créteil, INSERM, IMRB, Translational Neuropsychiatry, F-94010, Créteil, France.
- Fondation FondaMental, Créteil, F-94000, France.
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21
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Chen Y, Markowitz JC, Blanco C, Hershman DL, Zhang JT, Hellerstein DJ. Geographical distance predicts psychiatric treatment retention for Hispanic women with comorbid major depression and breast cancer. Breast Cancer Res Treat 2024; 205:249-256. [PMID: 38376796 DOI: 10.1007/s10549-024-07250-9] [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: 05/09/2023] [Accepted: 01/05/2024] [Indexed: 02/21/2024]
Abstract
PURPOSE Depression is among the most common comorbid psychiatric disorders of patients with breast cancer. Depression decreases patient quality of life and, if untreated, can adversely affect cancer treatment. We sought to identify treatment barriers for women with breast cancer receiving psychotherapy for depression. Findings may help policy makers and researchers determine funding and design of future studies involving this population, especially in communities with high rates of health disparities. METHODS We used data from a randomized trial for women with breast cancer and current DSM-IV non-psychotic unipolar major depressive disorder (MDD). Patients were randomly assigned to 12 weeks of one of three psychotherapies and attrition was assessed by whether subjects completed 12 weekly treatment sessions. We used descriptive analyses and logistic regression to identify treatment barriers. R shiny was used to determine study patient residences. RESULTS Of 134 randomized patients, 84 (62.7%) were Hispanic. Fifty-nine patients (44%) either did not start or dropped out of treatment, 49 (83.1%) of them being Hispanic. Being a Hispanic woman, less educated, and geographically distant from treatment significantly predicted attrition. Single Hispanic mothers had significantly higher attrition risk than married and/or childless women. CONCLUSION Identifying barriers to treatment is important to improve treatment adherence for patients with concurrent diagnoses of breast cancer and MDD, especially for traditionally underserved minorities. Additional support such as affordable tele-medicine, multi-language assistance, financial aid for transportation and child-care, and allocation of more funds to address some identified barriers deserve consideration to improve treatment adherence and outcomes.
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Affiliation(s)
- Ying Chen
- New York State Psychiatric Institute, 1051 Riverside Drive, New York, NY, 10032, USA.
- Columbia University Irving Medical Center (CUIMC), New York, NY, 10032, USA.
| | - John C Markowitz
- New York State Psychiatric Institute, 1051 Riverside Drive, New York, NY, 10032, USA
- Columbia University Irving Medical Center (CUIMC), New York, NY, 10032, USA
| | - Carlos Blanco
- Division of Epidemiology, Services and Prevention Research, National Institute on Drug Abuse (NIDA), Gaithersburg, MD, 20892, USA
| | - Dawn L Hershman
- Columbia University Irving Medical Center (CUIMC), New York, NY, 10032, USA
| | - Joy T Zhang
- New York State Psychiatric Institute, 1051 Riverside Drive, New York, NY, 10032, USA
- University of Virginia, Charlottesville, VA, 22904, USA
| | - David J Hellerstein
- New York State Psychiatric Institute, 1051 Riverside Drive, New York, NY, 10032, USA
- Columbia University Irving Medical Center (CUIMC), New York, NY, 10032, USA
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22
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Pate BS, Smiley CE, Harrington EN, Bielicki BH, Davis JM, Reagan LP, Grillo CA, Wood SK. Voluntary wheel running as a promising strategy to promote autonomic resilience to social stress in females: Vagal tone lies at the heart of the matter. Auton Neurosci 2024; 253:103175. [PMID: 38677130 PMCID: PMC11173375 DOI: 10.1016/j.autneu.2024.103175] [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: 12/13/2023] [Revised: 03/06/2024] [Accepted: 04/09/2024] [Indexed: 04/29/2024]
Abstract
Social stress is a major risk factor for comorbid conditions including cardiovascular disease and depression. While women exhibit 2-3× the risk for these stress-related disorders compared to men, the mechanisms underlying heightened stress susceptibility among females remain largely unknown. Due to a lack in understanding of the pathophysiology underlying stress-induced comorbidities among women, there has been a significant challenge in developing effective therapeutics. Recently, a causal role for inflammation has been established in the onset and progression of comorbid cardiovascular disease/depression, with women exhibiting increased sensitivity to stress-induced immune signaling. Importantly, reduced vagal tone is also implicated in stress susceptibility, through a reduction in the vagus nerve's well-recognized anti-inflammatory properties. Thus, examining therapeutic strategies that stabilize vagal tone during stress may shed light on novel targets for promoting stress resilience among women. Recently, accumulating evidence has demonstrated that physical activity exerts cardio- and neuro-protective effects by enhancing vagal tone. Based on this evidence, this mini review provides an overview of comorbid cardiovascular and behavioral dysfunction in females, the role of inflammation in these disorders, how stress may impart its negative effects on the vagus nerve, and how exercise may act as a preventative. Further, we highlight a critical gap in the literature with regard to the study of females in this field. This review also presents novel data that are the first to demonstrate a protective role for voluntary wheel running over vagal tone and biomarkers of cardiac dysfunction in the face of social stress exposure in female rats.
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Affiliation(s)
- Brittany S Pate
- Department of Exercise Science, University of South Carolina, Columbia, SC, United States of America; Department of Pharmacology, Physiology, and Neuroscience, University of South Carolina School of Medicine, Columbia, SC, United States of America; Department of Human Genetics, Emory University School of Medicine, Atlanta, GA, United States of America
| | - Cora E Smiley
- Department of Pharmacology, Physiology, and Neuroscience, University of South Carolina School of Medicine, Columbia, SC, United States of America; Columbia VA Health Care System, Columbia, SC, United States of America
| | - Evelynn N Harrington
- Department of Pharmacology, Physiology, and Neuroscience, University of South Carolina School of Medicine, Columbia, SC, United States of America; Columbia VA Health Care System, Columbia, SC, United States of America
| | - B Hunter Bielicki
- Department of Pharmacology, Physiology, and Neuroscience, University of South Carolina School of Medicine, Columbia, SC, United States of America; Columbia VA Health Care System, Columbia, SC, United States of America
| | - J Mark Davis
- Department of Exercise Science, University of South Carolina, Columbia, SC, United States of America
| | - Lawrence P Reagan
- Department of Pharmacology, Physiology, and Neuroscience, University of South Carolina School of Medicine, Columbia, SC, United States of America; Columbia VA Health Care System, Columbia, SC, United States of America
| | - Claudia A Grillo
- Department of Pharmacology, Physiology, and Neuroscience, University of South Carolina School of Medicine, Columbia, SC, United States of America; Columbia VA Health Care System, Columbia, SC, United States of America
| | - Susan K Wood
- Department of Pharmacology, Physiology, and Neuroscience, University of South Carolina School of Medicine, Columbia, SC, United States of America; Columbia VA Health Care System, Columbia, SC, United States of America; USC Institute for Cardiovascular Disease Research, Columbia, SC, United States of America.
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23
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Pu J, Yu Y, Liu Y, Wang D, Gui S, Zhong X, Chen W, Chen X, Chen Y, Chen X, Qiao R, Jiang Y, Zhang H, Fan L, Ren Y, Chen X, Wang H, Xie P. ProMENDA: an updated resource for proteomic and metabolomic characterization in depression. Transl Psychiatry 2024; 14:229. [PMID: 38816410 PMCID: PMC11139925 DOI: 10.1038/s41398-024-02948-2] [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: 12/24/2023] [Revised: 05/15/2024] [Accepted: 05/17/2024] [Indexed: 06/01/2024] Open
Abstract
Depression is a prevalent mental disorder with a complex biological mechanism. Following the rapid development of systems biology technology, a growing number of studies have applied proteomics and metabolomics to explore the molecular profiles of depression. However, a standardized resource facilitating the identification and annotation of the available knowledge from these scattered studies associated with depression is currently lacking. This study presents ProMENDA, an upgraded resource that provides a platform for manual annotation of candidate proteins and metabolites linked to depression. Following the establishment of the protein dataset and the update of the metabolite dataset, the ProMENDA database was developed as a major extension of its initial release. A multi-faceted annotation scheme was employed to provide comprehensive knowledge of the molecules and studies. A new web interface was also developed to improve the user experience. The ProMENDA database now contains 43,366 molecular entries, comprising 20,847 protein entries and 22,519 metabolite entries, which were manually curated from 1370 human, rat, mouse, and non-human primate studies. This represents a significant increase (more than 7-fold) in molecular entries compared to the initial release. To demonstrate the usage of ProMENDA, a case study identifying consistently reported proteins and metabolites in the brains of animal models of depression was presented. Overall, ProMENDA is a comprehensive resource that offers a panoramic view of proteomic and metabolomic knowledge in depression. ProMENDA is freely available at https://menda.cqmu.edu.cn .
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Affiliation(s)
- Juncai Pu
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Yue Yu
- Department of Health Sciences Research, Mayo Clinic, MN, 55901, USA
| | - Yiyun Liu
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Dongfang Wang
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Siwen Gui
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Xiaogang Zhong
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Weiyi Chen
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Xiaopeng Chen
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Yue Chen
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Xiang Chen
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Renjie Qiao
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Yanyi Jiang
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Hanping Zhang
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Li Fan
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Yi Ren
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Xiangyu Chen
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Haiyang Wang
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Peng Xie
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
- The Jinfeng Laboratory, Chongqing, 401336, China.
- Chongqing Institute for Brain and Intelligence, Chongqing, 400072, China.
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Klein RJ, Lekkas D, Nguyen ND, Jacobson NC. Comparing Transdiagnostic Risk Factors: Predicting Emergence of Significant Depressive, Anxiety, and Substance Abuse Symptoms Among Juvenile Delinquents. Child Psychiatry Hum Dev 2024:10.1007/s10578-024-01682-6. [PMID: 38782806 DOI: 10.1007/s10578-024-01682-6] [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] [Accepted: 02/15/2024] [Indexed: 05/25/2024]
Abstract
In a 7-year 11-wave study of low-SES adolescents (N = 856, age = 15.98), we compared multiple well-established transdiagnostic risk factors as predictors of first incidence of significant depressive, anxiety, and substance abuse symptoms across the transition from adolescence to adulthood. Risk factors included negative emotionality, emotion regulation ability, social support, gender, history of trauma, parental histories of substance abuse, parental mental health, and socioeconomic status. Machine learning models revealed that negative emotionality was the most important predictor of both depression and anxiety, and emotion regulation ability was the most important predictor of future significant substance abuse. These findings highlight the critical role that dysregulated emotion may play in the development of some of the most prevalent forms of mental illness.
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Affiliation(s)
- Robert J Klein
- Center for Technology and Behavioral Health, Dartmouth College, Hanover, USA.
- The Well Living Lab, Rochester, USA.
- Delos Living, LLC, New York, USA.
- The Geisel School of Medicine, Dartmouth College, 1 Rope Ferry Road, Hanover, NH, 03755, USA.
| | - Damien Lekkas
- Center for Technology and Behavioral Health, Dartmouth College, Hanover, USA
- Quantitative Biomedical Sciences Program, Dartmouth College, Hanover, USA
| | - Nhi D Nguyen
- Center for Technology and Behavioral Health, Dartmouth College, Hanover, USA
| | - Nicholas C Jacobson
- Center for Technology and Behavioral Health, Dartmouth College, Hanover, USA
- Department of Biomedical Data Science, Geisel School of Medicine, Dartmouth College, Hanover, USA
- Department of Psychiatry, Geisel School of Medicine, Dartmouth College, Hanover, USA
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25
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Ramm M, Jedamzik J, Lenz P, Jürgens L, Heuft G, Conrad R. Older adults coping with critical life events - results of the revised demoralization scale in a representative sample of older adulthood. Front Psychiatry 2024; 15:1389021. [PMID: 38800056 PMCID: PMC11116776 DOI: 10.3389/fpsyt.2024.1389021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Accepted: 04/29/2024] [Indexed: 05/29/2024] Open
Abstract
Background High suicide rates in older adults are a relevant public health concern. Social isolation or widowhood as well as physical decline play a crucial role for suicidality in older adulthood. Previous evidence suggested that demoralization is an important risk factor for suicide. Whether demoralization is a relevant phenomenon in older adulthood which possibly could account for high suicide rates remains unclear. Methods Demoralization Scale II (DS-II) scores assessed in a survey of the German general population were investigated with respect to older adults (aged ≥ 65 years). DS-II scores were compared between older (≥ 65 years) and younger (< 65 years) adulthood and between young-old (65-74y), middle-old (75-84y), and old-old (85+y) individuals. We tested the impact of sociodemographic factors on DS-II scores within older adults. Results The sample comprised N = 545 adults ≥ 65 years and N = 1922 adults < 65 years. DS-II scores increased in older compared to younger adults (F(1,2465) = 6.1; p = 0.013; d = 0.09) and further from young-old to old-old (Mdiff = 2.7; 95% CI 0.45, 5.46; p = 0.034). One-fourth of individuals ≥ 65 years and almost half of old-old individuals reported DS-II scores above the cut-off > 5. Living with a partner protected from demoralization in old-old individuals. Discussion This study provides first evidence for an increased rate of demoralization in very old adults, in particular women, which is partly related to partnership status. We suggest that demoralization is considered as a crucial entity in older adulthood which can be missed by standard psychological screenings.
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Affiliation(s)
- Markus Ramm
- Department of Psychosomatic Medicine and Psychotherapy, University Hospital Münster, Münster, Germany
| | - Johanna Jedamzik
- Department of Psychosomatic Medicine and Psychotherapy, University Hospital Münster, Münster, Germany
| | - Philipp Lenz
- West German Cancer Center, University Hospital Münster, Münster, Germany
- Institute of Palliative Care, University Hospital Münster, Münster, Germany
| | - Lara Jürgens
- Department of Psychosomatic Medicine and Psychotherapy, University Hospital Münster, Münster, Germany
| | - Gereon Heuft
- Department of Psychosomatic Medicine and Psychotherapy, University Hospital Münster, Münster, Germany
| | - Rupert Conrad
- Department of Psychosomatic Medicine and Psychotherapy, University Hospital Münster, Münster, Germany
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26
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Ma J, Wang J, Wang G, Wan Y, Li N, Luo L, Gou H, Gu J. The potential beneficial effects of Lactobacillus plantarum GM11 on rats with chronic unpredictable mild stress- induced depression. Nutr Neurosci 2024; 27:413-424. [PMID: 37116073 DOI: 10.1080/1028415x.2023.2205742] [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: 04/30/2023]
Abstract
OBJECTIVE The main purpose of the present study was to assess the beneficial effect of Lactobacillus plantarum GM11 (LacP GM11), screened from Sichuan traditional fermented food, in depressive rats induced by chronic unpredictable mild stress (CUMS). METHODS Male SPF SD rats were randomly assigned to 3 groups: the control group, CUMS group and CUMS + LacP GM11 group (n = 10). The rats in the CUMS and LacP GM11 groups received CUMS stimulation for 42 d. The behavioral tests and levels of monoamine neurotransmitter, glucocorticoid hormone and brain-derived neurotrophic factor (BDNF) in the serum and hippocampus were measured. The effects of LacP GM11 on the mRNA and protein expression of BDNF and cAMP response element binding protein (CREB) in the hippocampus were also investigated. RESULTS After supplementation for 21 d, LacP GM11 was associated with alleviation of depressive-like behavior, not anxiety-like behavior, in depressive rats. LacP GM11 increased the levels of 5-hydroxytryptamine (5-HT) and BDNF and decreased the level of cortisol (CORT) in the serum and hippocampus in depressed rats. In addition, treatment with LacP GM11 also increased the mRNA and protein expression of BDNF and CREB in the hippocampus. CONCLUSIONS This work has revealed that LacP GM11 has potential beneficial effects on depression. This effect might be related to alleviating monoamine neurotransmitter deficiency, HPA axis hyperfunction and CREB-BDNF signaling pathway downregulation. This study demonstrates that LacP GM11 could be a potential therapeutic approach to treat depression and other mental health problems.
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Affiliation(s)
- Jie Ma
- Department of Research and Development, Weichuang Tianyi Biotechnology Co., Ltd, Chengdu, Sichuan, People's Republic of China
| | - Junrui Wang
- Savaid Medical School, University of Chinese Academy of Sciences, Beijing, People's Republic of China
- Department of Orthopaedics, Chengdu Second People's Hospital, Chengdu, Sichuan, People's Republic of China
| | - Gang Wang
- Sichuan Food Fermentation Industry Research and Design Institute Co., Ltd, Chengdu, Sichuan, People's Republic of China
| | - Yujun Wan
- Sichuan Food Fermentation Industry Research and Design Institute Co., Ltd, Chengdu, Sichuan, People's Republic of China
| | - Nanzhen Li
- Sichuan Food Fermentation Industry Research and Design Institute Co., Ltd, Chengdu, Sichuan, People's Republic of China
| | - Lijuan Luo
- Sichuan Food Fermentation Industry Research and Design Institute Co., Ltd, Chengdu, Sichuan, People's Republic of China
| | - Hongmei Gou
- Sichuan Food Fermentation Industry Research and Design Institute Co., Ltd, Chengdu, Sichuan, People's Republic of China
| | - Jianwen Gu
- Department of Neurosurgery, PLA Strategic Support Force Characteristic Medical Center, Beijing, People's Republic of China
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Muhammad T, Srivastava S, Muneera K, Kumar M, Kelekar U. Treatment for Insomnia Symptoms is Associated with Reduced Depression Among Older Adults: A Propensity Score Matching Approach. Clin Gerontol 2024; 47:436-451. [PMID: 37153958 DOI: 10.1080/07317115.2023.2208582] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/10/2023]
Abstract
OBJECTIVES The study aimed to investigate the effect of utilization of treatment for insomnia symptoms on the prevalence of major depressive disorder among older adults in India. METHODS We used the data from the Longitudinal Ageing Study in India (LASI), 2017-18. The sample included 10,911 older individuals who reported insomnia symptoms. The propensity score matching (PSM) approach was used to compare the depressive disorder among those who received vs. not received treatment. RESULTS Only 5.7% of older adults reporting insomnia symptoms received treatment. On average, prevalence of depressive disorder among men and women who received treatment for insomnia symptoms was lesser by 0.79 and 0.33 points, respectively, than those who did not receive treatment. In the matched sample, treatment for insomnia symptoms was significantly associated with lesser prevalence of depression for both older men (β= -0.68, p < .001) and older women (β= -0.62, p < .001). CONCLUSIONS The current findings suggest that treatment for insomnia symptoms can reduce the risk of depressive disorder among older adults and the effects are higher among older men than women.
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Affiliation(s)
- T Muhammad
- Department of Family & Generations, International Institute for Population Sciences, Mumbai, India
| | - Shobhit Srivastava
- Department of Survey Research & Data Analytics, International Institute for Population Sciences, Mumbai, India
| | - K Muneera
- School of Management Studies, National Institute of Technology, Calicut, Kerala, India
| | - Manish Kumar
- Population Research Centre, Dharwad, Karnataka, India
| | - Uma Kelekar
- School of Business, College of Business, Innovation, Leadership and Technology
- Marymount Center for Optimal Aging, Marymount University, Arlington-VA, USA
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Wang M, Tan C, Shen Q, Cai S, Liu Q, Liao H. Altered functional-structural coupling may predict Parkinson's patient's depression. Brain Struct Funct 2024; 229:897-907. [PMID: 38478052 DOI: 10.1007/s00429-024-02780-w] [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: 11/21/2023] [Accepted: 02/20/2024] [Indexed: 04/10/2024]
Abstract
We aimed to elucidate the neurobiological basis of depression in Parkinson's disease and identify potential imaging markers for depression in patients with Parkinson's disease. We recruited 43 normal controls (NC), 46 depressed Parkinson's disease patients (DPD) and 56 non-depressed Parkinson's disease (NDPD). All participants underwent routine T2-weighted, T2Flair, and resting-state scans on the same 3.0 T magnetic resonance imaging (MRI) scanner at our hospital. Pre-processing includes calculating surface-based Regional Homogeneity (2DReHo) and cortical thickness. Then we defined the correlation coefficient between 2DReHo and cortical thickness as the functional-structural coupling index. Between-group comparisons were conducted on the Fisher's Z-transformed correlation coefficients. To identify specific regions of decoupling, the 2DReHo for each participant were divided by cortical thickness at each vertex, followed by threshold-free cluster enhancement (TFCE) multiple comparison correction. Binary logistic regression analysis was performed with DPD as the dependent variable, and significantly altered indicators as the independent variables. Receiver operating characteristic curves were constructed to compare the diagnostic performance of individual predictors and combinations using R and MedCalc software. DPD patients exhibited a significantly lower whole-brain functional-structural coupling index than NDPD patients and NC. Abnormal functional-structural coupling was primarily observed in the left inferior parietal lobule and right primary and early visual cortices in DPD patients. Receiver operating characteristic analysis revealed that the combination of cortical functional-structural coupling, surface-based ReHo, and thickness had the best diagnostic performance, achieving a sensitivity of 65% and specificity of 77.7%. This is the first study to explore the relationship between functional and structural changes in DPD patients and evaluate the diagnostic performance of these altered correlations to predict depression in Parkinson's disease patients. We posit that these changes in functional-structural relationships may serve as imaging biomarkers for depression in Parkinson's disease patients, potentially aiding in the classification and diagnosis of Parkinson's disease. Additionally, our findings provide functional and structural imaging evidence for exploring the neurobiological basis of depression in Parkinson's disease.
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Affiliation(s)
- Min Wang
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Changlian Tan
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Qin Shen
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Sainan Cai
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Qinru Liu
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Haiyan Liao
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, China.
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Aharon G, Aisenberg-Shafran D, Levi-Belz Y. Adherence to Masculinity Norms and Depression Symptoms Among Israeli Men: The Moderating Role of Psychological Flexibility. Am J Mens Health 2024; 18:15579883241253820. [PMID: 38794957 PMCID: PMC11128175 DOI: 10.1177/15579883241253820] [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: 09/09/2023] [Revised: 04/17/2024] [Accepted: 04/18/2024] [Indexed: 05/27/2024] Open
Abstract
Being a man has been recognized as a salient risk factor for suicide. Adopting uncompromised masculine perceptions (i.e., conforming to the masculine gender role norms) may restrict emotional expressiveness in men, which, in turn, may contribute to depression and somatization symptoms. We examined the moderating role of psychological flexibility and alexithymia in the relationship of masculinity with depression and somatization symptoms. A sample of 119 men completed measures of masculinity, alexithymia (difficulty identifying and delivering subjective feelings), psychological flexibility, depression, and somatization symptoms in a cross-sectional design study. Psychological flexibility levels moderated the relationship between masculinity and depression symptoms: Masculinity contributed as positively associated with depression symptoms when psychological flexibility was low, but no such association was found at moderate or high levels of psychological flexibility. As a cognitive factor promoting adaptive emotional regulation, psychological flexibility might reduce depression symptoms among inflexible masculine men. Clinical implications relate to diagnosing at-risk subgroups and their treatment.
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Affiliation(s)
- Gal Aharon
- Ruppin Academic Center, Emek Hefer, Israel
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Kayahan Satış N, Naharcı Mİ. Investigating the association of anticholinergic burden with depression in older adults: a cross-sectional study. Psychogeriatrics 2024; 24:597-604. [PMID: 38484758 DOI: 10.1111/psyg.13102] [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: 08/07/2023] [Revised: 01/09/2024] [Accepted: 02/15/2024] [Indexed: 04/30/2024]
Abstract
BACKGROUND Although depression and anticholinergic drug use are common comorbidities that impair health status in later life, there are insufficient data on their relationship. This study aimed to investigate the relationship between depressive symptoms and anticholinergic use in older individuals. METHODS Community-dwelling older adults (≥65 years) admitted to the tertiary referral geriatric outpatient clinic were included. Participants were evaluated for depressive symptoms using the Geriatric Depression Scale (GDS) with a cut-off score of ≥6 for depression. Exposure to anticholinergic drugs was assessed using the anticholinergic cognitive burden (ACB) scale and three subgroups were created: ACB = 0, ACB = 1, and ACB ≥ 2. The relationship between these two parameters was assessed using multivariate logistic regression analysis considering other potential variables. RESULTS The study included 1232 participants (mean age 78.4 ± 7.2 years and 65.2% female) and the prevalence of depression was 24%. After adjusting for potential confounders, compared to ACB = 0, having ACB ≥ 2 was related to depression symptoms (odds ratio (OR): 1.56, 95% CI: 1.04-2.35, P = 0.034), whereas having ACB = 1 did not increase the risk (OR: 1.27, 95% CI: 0.88-1.83, P = 0.205). CONCLUSION Our findings indicate that special attention should be paid to drug therapy in preventing depression in older adults, as exposure to a high anticholinergic load is negatively associated with psychological status.
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Affiliation(s)
- Neslihan Kayahan Satış
- Gülhane Faculty of Medicine and Gülhane Training and Research Hospital, Division of Geriatrics, University of Health Sciences, Ankara, Turkey
| | - Mehmet İlkin Naharcı
- Gülhane Faculty of Medicine and Gülhane Training and Research Hospital, Division of Geriatrics, University of Health Sciences, Ankara, Turkey
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Shi X, Zhou XZ, Chen G, Luo WF, Zhou C, He TJ, Naik MT, Jiang Q, Marshall J, Cao C. Targeting the postsynaptic scaffolding protein PSD-95 enhances BDNF signaling to mitigate depression-like behaviors in mice. Sci Signal 2024; 17:eadn4556. [PMID: 38687826 PMCID: PMC11223518 DOI: 10.1126/scisignal.adn4556] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Accepted: 04/10/2024] [Indexed: 05/02/2024]
Abstract
Signaling mediated by brain-derived neurotrophic factor (BDNF), which is supported by the postsynaptic scaffolding protein PSD-95, has antidepressant effects. Conversely, clinical depression is associated with reduced BDNF signaling. We found that peptidomimetic compounds that bind to PSD-95 promoted signaling by the BDNF receptor TrkB in the hippocampus and reduced depression-like behaviors in mice. The compounds CN2097 and Syn3 both bind to the PDZ3 domain of PSD-95, and Syn3 also binds to an α-helical region of the protein. Syn3 reduced depression-like behaviors in two mouse models of stress-induced depression; CN2097 had similar but less potent effects. In hippocampal neurons, application of Syn3 enhanced the formation of TrkB-Gαi1/3-PSD-95 complexes and potentiated downstream PI3K-Akt-mTOR signaling. In mice subjected to chronic mild stress (CMS), systemic administration of Syn3 reversed the CMS-induced, depression-associated changes in PI3K-Akt-mTOR signaling, dendrite complexity, spine density, and autophagy in the hippocampus and reduced depression-like behaviors. Knocking out Gαi1/3 in hippocampal neurons prevented the therapeutic effects of Syn3, indicating dependence of these effects on the TrkB pathway. The findings suggest that compounds that induce the formation of PSD-95-TrkB complexes have therapeutic potential to alleviate depression.
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Affiliation(s)
- Xin Shi
- Clinical Research Center of Neurological Disease, The Second Affiliated Hospital of Soochow University, Institution of Neuroscience, Soochow University, Suzhou 215123, China
| | - Xiao-zhong Zhou
- Clinical Research Center of Neurological Disease, The Second Affiliated Hospital of Soochow University, Institution of Neuroscience, Soochow University, Suzhou 215123, China
- Department of Orthopedics, the Second Affiliated Hospital of Soochow University, Suzhou, 215004, Jiangsu, China
| | - Gang Chen
- Department of Neurosurgery, the First Affiliated Hospital of Soochow University, Suzhou, 215006, Jiangsu, China
| | - Wei-feng Luo
- Clinical Research Center of Neurological Disease, The Second Affiliated Hospital of Soochow University, Institution of Neuroscience, Soochow University, Suzhou 215123, China
| | - Chengyu Zhou
- Department of Neuroscience, Case Western Reserve University, Cleveland, OH 44106, USA
| | - Tian-ju He
- Clinical Research Center of Neurological Disease, The Second Affiliated Hospital of Soochow University, Institution of Neuroscience, Soochow University, Suzhou 215123, China
| | - Mandar T. Naik
- Department of Molecular Biology, Cell Biology & Biochemistry, Brown University, Providence, RI 02912, USA
| | - Qin Jiang
- The Fourth School of Clinical Medicine, Nanjing Medical University, Nanjing 210029, China
| | - John Marshall
- Department of Molecular Biology, Cell Biology & Biochemistry, Brown University, Providence, RI 02912, USA
| | - Cong Cao
- Clinical Research Center of Neurological Disease, The Second Affiliated Hospital of Soochow University, Institution of Neuroscience, Soochow University, Suzhou 215123, China
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Platona RI, Voiță-Mekeres F, Tudoran C, Tudoran M, Enătescu VR. The Contribution of Genetic Testing in Optimizing Therapy for Patients with Recurrent Depressive Disorder. Clin Pract 2024; 14:703-717. [PMID: 38804388 PMCID: PMC11130888 DOI: 10.3390/clinpract14030056] [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: 02/23/2024] [Revised: 04/16/2024] [Accepted: 04/19/2024] [Indexed: 05/29/2024] Open
Abstract
(1) Background: The aim of this study was to analyze the impact of pharmacogenetic-guided antidepressant therapy on the 12-month evolution of the intensity of depressive symptoms in patients with recurrent depressive disorder (RDD) in comparison to a control group of depressive subjects who were treated conventionally. (2) Methods: This prospective longitudinal study was conducted between 2019 and 2022, and the patients were evaluated by employing the Hamilton Depression Rating Scale (HAM-D), Hamilton Anxiety Rating Scale (HAM-A) and the Clinical Global Impressions Scale: Severity and Improvement. We followed them up at 1, 3, 6, and 12 months. (3) Results: Of the 76 patients with RDD, 37 were tested genetically (Group A) and 39 were not (Group B). Although the patients from Group A had statistically significantly more severe MDD at baseline than those from Group B (p < 0.001), by adjusting their therapy according to the genetic testing, they had a progressive and more substantial reduction in the severity of RDD symptoms [F = 74.334; η2 = 0.674; p < 0.001], indicating a substantial association with the results provided by the genetic testing (67.4%). (4) Conclusions: In patients with RDD and a poor response to antidepressant therapy, pharmacogenetic testing allows for treatment adjustment, resulting in a constant and superior reduction in the intensity of depression and anxiety symptoms.
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Affiliation(s)
- Rita Ioana Platona
- Doctoral School, University of Medicine and Pharmacy “Victor Babes” Timisoara, 300041 Timisoara, Romania;
- Psychiatry Department, County Clinical Emergency Hospital of Oradea, 410169 Oradea, Romania
| | - Florica Voiță-Mekeres
- Psychiatry Department, County Clinical Emergency Hospital of Oradea, 410169 Oradea, Romania
- Morphological Disciplines Department, Faculty of Medicine and Pharmacy, University of Oradea, 410087 Oradea, Romania
| | - Cristina Tudoran
- Department VII, Internal Medicine II, Discipline of Cardiology, University of Medicine and Pharmacy “Victor Babes” Timisoara, E. Murgu Square, No. 2, 300041 Timisoara, Romania; (C.T.); (M.T.)
- Center of Molecular Research in Nephrology and Vascular Disease, University of Medicine and Pharmacy “Victor Babes” Timisoara, E. Murgu Square, No. 2, 300041 Timisoara, Romania
- Cardiology Clinic, County Emergency Hospital “Pius Brinzeu”, L. Rebreanu, No. 156, 300723 Timisoara, Romania;
| | - Mariana Tudoran
- Department VII, Internal Medicine II, Discipline of Cardiology, University of Medicine and Pharmacy “Victor Babes” Timisoara, E. Murgu Square, No. 2, 300041 Timisoara, Romania; (C.T.); (M.T.)
- Center of Molecular Research in Nephrology and Vascular Disease, University of Medicine and Pharmacy “Victor Babes” Timisoara, E. Murgu Square, No. 2, 300041 Timisoara, Romania
- Cardiology Clinic, County Emergency Hospital “Pius Brinzeu”, L. Rebreanu, No. 156, 300723 Timisoara, Romania;
| | - Virgil Radu Enătescu
- Cardiology Clinic, County Emergency Hospital “Pius Brinzeu”, L. Rebreanu, No. 156, 300723 Timisoara, Romania;
- Discipline of Psychiatry, Department of Neurosciences, University of Medicine and Pharmacy “Victor Babes” Timisoara, 300041 Timişoara, Romania
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Kukucka T, Ferencova N, Visnovcova Z, Ondrejka I, Hrtanek I, Kovacova V, Macejova A, Mlyncekova Z, Tonhajzerova I. Mechanisms Involved in the Link between Depression, Antidepressant Treatment, and Associated Weight Change. Int J Mol Sci 2024; 25:4511. [PMID: 38674096 PMCID: PMC11050075 DOI: 10.3390/ijms25084511] [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: 03/29/2024] [Revised: 04/17/2024] [Accepted: 04/18/2024] [Indexed: 04/28/2024] Open
Abstract
Major depressive disorder is a severe mood disorder associated with a marked decrease in quality of life and social functioning, accompanied by a risk of suicidal behavior. Therefore, seeking out and adhering to effective treatment is of great personal and society-wide importance. Weight changes associated with antidepressant therapy are often cited as the reason for treatment withdrawal and thus are an important topic of interest. There indeed exists a significant mechanistic overlap between depression, antidepressant treatment, and the regulation of appetite and body weight. The suggested pathomechanisms include the abnormal functioning of the homeostatic (mostly humoral) and hedonic (mostly dopaminergic) circuits of appetite regulation, as well as causing neuromorphological and neurophysiological changes underlying the development of depressive disorder. However, this issue is still extensively discussed. This review aims to summarize mechanisms linked to depression and antidepressant therapy in the context of weight change.
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Affiliation(s)
- Tomas Kukucka
- Clinic of Psychiatry, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, University Hospital Martin, 03659 Martin, Slovakia; (T.K.); (I.O.); (I.H.); (V.K.); (A.M.); (Z.M.)
| | - Nikola Ferencova
- Biomedical Centre Martin, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, 03601 Martin, Slovakia; (N.F.); (Z.V.)
| | - Zuzana Visnovcova
- Biomedical Centre Martin, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, 03601 Martin, Slovakia; (N.F.); (Z.V.)
| | - Igor Ondrejka
- Clinic of Psychiatry, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, University Hospital Martin, 03659 Martin, Slovakia; (T.K.); (I.O.); (I.H.); (V.K.); (A.M.); (Z.M.)
| | - Igor Hrtanek
- Clinic of Psychiatry, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, University Hospital Martin, 03659 Martin, Slovakia; (T.K.); (I.O.); (I.H.); (V.K.); (A.M.); (Z.M.)
| | - Veronika Kovacova
- Clinic of Psychiatry, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, University Hospital Martin, 03659 Martin, Slovakia; (T.K.); (I.O.); (I.H.); (V.K.); (A.M.); (Z.M.)
| | - Andrea Macejova
- Clinic of Psychiatry, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, University Hospital Martin, 03659 Martin, Slovakia; (T.K.); (I.O.); (I.H.); (V.K.); (A.M.); (Z.M.)
| | - Zuzana Mlyncekova
- Clinic of Psychiatry, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, University Hospital Martin, 03659 Martin, Slovakia; (T.K.); (I.O.); (I.H.); (V.K.); (A.M.); (Z.M.)
| | - Ingrid Tonhajzerova
- Department of Physiology, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, 03601 Martin, Slovakia
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Zhang H, Zhang L, Li J, Xiang H, Liu Y, Gao C, Sun X. The influence of Life's Essential 8 on the link between socioeconomic status and depression in adults: a mediation analysis. BMC Psychiatry 2024; 24:296. [PMID: 38637758 PMCID: PMC11025210 DOI: 10.1186/s12888-024-05738-8] [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: 08/16/2023] [Accepted: 04/04/2024] [Indexed: 04/20/2024] Open
Abstract
BACKGROUND Individuals with low socioeconomic status (SES) are at a higher risk of developing depression. However, evidence on the role of cardiovascular health (CVH) in this chain is sparse and limited. The purpose of this research was to assess the mediating role of Life's Essential 8 (LE8), a recently updated measurement of CVH, in the association between SES and depression according to a nationally representative sample of adults. METHODS Data was drawn from the National Health and Nutrition Examination Survey (NHANES) in 2013-2018. Multivariate logistic regression analysis was applied to analyze the association of SES (measured via the ratio of family income to poverty (FIPR), occupation, educational level, and health insurance) and LE8 with clinically relevant depression (CRD) (evaluated using the Patient Health Questionnaire (PHQ-9)). Multiple linear regression analysis was performed to analyze the correlation between SES and LE8. Mediation analysis was carried out to explore the mediating effect of LE8 on the association between SES and CRD. Moreover, these associations were still analyzed by sex, age, and race. RESULTS A total of 4745 participants with complete PHQ-9 surveys and values to calculated LE8 and SES were included. In the fully adjusted model, individuals with high SES had a significantly higher risk of CRD (odds ratio = 0.21; 95% confidence interval: 0.136 to 0.325, P < 0.01) compared with those with low SES. Moreover, LE8 was estimated to mediate 22.13% of the total association between SES and CRD, and the mediating effect of LE8 varied in different sex and age groups. However, the mediating effect of LE8 in this chain was significant in different sex, age, and racial subgroups except for Mexican American (MA) individuals. CONCLUSION The results of our study suggest that LE8 could mediate the association between SES and CRD. Additionally, the mediating effect of LE8 in this chain could be influenced by the race of participants.
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Affiliation(s)
- Heming Zhang
- Department of Anesthesiology, The Second Affiliated Hospital of Air Force Medical University, Xi'an, China
- Department of Anesthesiology, Hospital 963 of the PLA Joint Logistics Support Force, Jiamusi, China
| | - Lin Zhang
- Department of Geriatric Cardiology, The 2nd Medical Center, Chinese PLA General Hospital, Beijing, China
- Department of Cardiology, National Center of Gerontology, Institute of Geriatric Medicine, Beijing Hospital, Chinese Academy of Medical Sciences, Beijing, China
| | - Jiangjing Li
- Department of Anesthesiology, The Second Affiliated Hospital of Air Force Medical University, Xi'an, China
| | - Hongxia Xiang
- Department of Anesthesiology, Hospital 963 of the PLA Joint Logistics Support Force, Jiamusi, China
| | - Yongfei Liu
- Department of Anesthesiology, The Second Affiliated Hospital of Air Force Medical University, Xi'an, China
| | - Changjun Gao
- Department of Anesthesiology, The Second Affiliated Hospital of Air Force Medical University, Xi'an, China
| | - Xude Sun
- Department of Anesthesiology, The Second Affiliated Hospital of Air Force Medical University, Xi'an, China.
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Stolicyn A, Harris MA, de Nooij L, Shen X, Macfarlane JA, Campbell A, McNeil CJ, Sandu AL, Murray AD, Waiter GD, Lawrie SM, Steele JD, McIntosh AM, Romaniuk L, Whalley HC. Disrupted limbic-prefrontal effective connectivity in response to fearful faces in lifetime depression. J Affect Disord 2024; 351:983-993. [PMID: 38220104 DOI: 10.1016/j.jad.2024.01.038] [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: 08/17/2023] [Revised: 12/07/2023] [Accepted: 01/03/2024] [Indexed: 01/16/2024]
Abstract
BACKGROUND Multiple brain imaging studies of negative emotional bias in major depressive disorder (MDD) have used images of fearful facial expressions and focused on the amygdala and the prefrontal cortex. The results have, however, been inconsistent, potentially due to small sample sizes (typically N<50). It remains unclear if any alterations are a characteristic of current depression or of past experience of depression, and whether there are MDD-related changes in effective connectivity between the two brain regions. METHODS Activations and effective connectivity between the amygdala and dorsolateral prefrontal cortex (DLPFC) in response to fearful face stimuli were studied in a large population-based sample from Generation Scotland. Participants either had no history of MDD (N=664 in activation analyses, N=474 in connectivity analyses) or had a diagnosis of MDD during their lifetime (LMDD, N=290 in activation analyses, N=214 in connectivity analyses). The within-scanner task involved implicit facial emotion processing of neutral and fearful faces. RESULTS Compared to controls, LMDD was associated with increased activations in left amygdala (PFWE=0.031,kE=4) and left DLPFC (PFWE=0.002,kE=33), increased mean bilateral amygdala activation (β=0.0715,P=0.0314), and increased inhibition from left amygdala to left DLPFC, all in response to fearful faces contrasted to baseline. Results did not appear to be attributable to depressive illness severity or antidepressant medication status at scan time. LIMITATIONS Most studied participants had past rather than current depression, average severity of ongoing depression symptoms was low, and a substantial proportion of participants were receiving medication. The study was not longitudinal and the participants were only assessed a single time. CONCLUSIONS LMDD is associated with hyperactivity of the amygdala and DLPFC, and with stronger amygdala to DLPFC inhibitory connectivity, all in response to fearful faces, unrelated to depression severity at scan time. These results help reduce inconsistency in past literature and suggest disruption of 'bottom-up' limbic-prefrontal effective connectivity in depression.
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Affiliation(s)
- Aleks Stolicyn
- Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Kennedy Tower, Royal Edinburgh Hospital, Edinburgh EH10 5HF, United Kingdom.
| | - Mathew A Harris
- Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Kennedy Tower, Royal Edinburgh Hospital, Edinburgh EH10 5HF, United Kingdom
| | - Laura de Nooij
- Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Kennedy Tower, Royal Edinburgh Hospital, Edinburgh EH10 5HF, United Kingdom; Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen 6525 EN, Netherlands
| | - Xueyi Shen
- Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Kennedy Tower, Royal Edinburgh Hospital, Edinburgh EH10 5HF, United Kingdom
| | - Jennifer A Macfarlane
- Division of Imaging Science and Technology, School of Medicine, University of Dundee, Dundee DD1 9SY, United Kingdom; Department of Medical Physics, NHS Tayside, Dundee DD2 1UB, United Kingdom; SINAPSE Consortium(2), United Kingdom
| | - Archie Campbell
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh EH4 2XU, United Kingdom
| | - Christopher J McNeil
- SINAPSE Consortium(2), United Kingdom; Aberdeen Biomedical Imaging Centre, Institute of Medical Sciences, University of Aberdeen, Aberdeen AB25 2ZN, United Kingdom
| | - Anca-Larisa Sandu
- SINAPSE Consortium(2), United Kingdom; Aberdeen Biomedical Imaging Centre, Institute of Medical Sciences, University of Aberdeen, Aberdeen AB25 2ZN, United Kingdom
| | - Alison D Murray
- SINAPSE Consortium(2), United Kingdom; Aberdeen Biomedical Imaging Centre, Institute of Medical Sciences, University of Aberdeen, Aberdeen AB25 2ZN, United Kingdom
| | - Gordon D Waiter
- SINAPSE Consortium(2), United Kingdom; Aberdeen Biomedical Imaging Centre, Institute of Medical Sciences, University of Aberdeen, Aberdeen AB25 2ZN, United Kingdom
| | - Stephen M Lawrie
- Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Kennedy Tower, Royal Edinburgh Hospital, Edinburgh EH10 5HF, United Kingdom
| | - J Douglas Steele
- Division of Imaging Science and Technology, School of Medicine, University of Dundee, Dundee DD1 9SY, United Kingdom; SINAPSE Consortium(2), United Kingdom
| | - Andrew M McIntosh
- Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Kennedy Tower, Royal Edinburgh Hospital, Edinburgh EH10 5HF, United Kingdom; SINAPSE Consortium(2), United Kingdom; Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh EH4 2XU, United Kingdom
| | - Liana Romaniuk
- Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Kennedy Tower, Royal Edinburgh Hospital, Edinburgh EH10 5HF, United Kingdom; SINAPSE Consortium(2), United Kingdom
| | - Heather C Whalley
- Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Kennedy Tower, Royal Edinburgh Hospital, Edinburgh EH10 5HF, United Kingdom; SINAPSE Consortium(2), United Kingdom; Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh EH4 2XU, United Kingdom
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Parise EM, Gyles TM, Godino A, Sial OK, Browne CJ, Parise LF, Torres-Berrío A, Salery M, Durand-de Cuttoli R, Rivera MT, Cardona-Acosta AM, Holt L, Markovic T, van der Zee YY, Lorsch ZS, Cathomas F, Garon JB, Teague C, Issler O, Hamilton PJ, Bolaños-Guzmán CA, Russo SJ, Nestler EJ. Sex-Specific Regulation of Stress Susceptibility by the Astrocytic Gene Htra1. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.04.12.588724. [PMID: 38659771 PMCID: PMC11042238 DOI: 10.1101/2024.04.12.588724] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/26/2024]
Abstract
Major depressive disorder (MDD) is linked to impaired structural and synaptic plasticity in limbic brain regions. Astrocytes, which regulate synapses and are influenced by chronic stress, likely contribute to these changes. We analyzed astrocyte gene profiles in the nucleus accumbens (NAc) of humans with MDD and mice exposed to chronic stress. Htra1 , which encodes an astrocyte-secreted protease targeting the extracellular matrix (ECM), was significantly downregulated in the NAc of males but upregulated in females in both species. Manipulating Htra1 in mouse NAc astrocytes bidirectionally controlled stress susceptibility in a sex-specific manner. Such Htra1 manipulations also altered neuronal signaling and ECM structural integrity in NAc. These findings highlight astroglia and the brain's ECM as key mediators of sex-specific stress vulnerability, offering new approaches for MDD therapies.
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Dang X, Yang R, Jing Q, Niu Y, Li H, Zhang J, Liu Y. Association between high or low-quality carbohydrate with depressive symptoms and socioeconomic-dietary factors model based on XGboost algorithm: From NHANES 2007-2018. J Affect Disord 2024; 351:507-517. [PMID: 38307135 DOI: 10.1016/j.jad.2024.01.220] [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: 07/28/2023] [Revised: 01/23/2024] [Accepted: 01/25/2024] [Indexed: 02/04/2024]
Abstract
BACKGROUND Depressive symptoms are a serious public mental health problem, and dietary intake is often considered to be associated with depressive symptoms. However, the relationship between the quality of dietary carbohydrates and depressive symptoms remains unclear. Therefore, this study aimed to investigate the relationship between high and low-quality carbohydrates and depressive symptoms and to attempt to construct an integrated model using machine learning to predict depressive symptoms. METHODS A total of 4982 samples from the National Health and Nutrition Examination Survey (NHANES) were included in this study. Carbohydrate intake was assessed by a 24-h dietary review, and depressive symptoms were assessed using the Patient Health Questionnaire-9 (PHQ9). Variance inflation factor (VIF) and Relief-F algorithms were used for variable feature selection. RESULTS The results of multivariate linear regression showed a negative association between high-quality carbohydrates and depressive symptoms (β: -0.147, 95 % CI: -0.239, -0.056, p = 0.002) and a positive association between low-quality carbohydrates and depressive symptoms (β: 0.018, 95 % CI: 0.007, 0.280, p = 0.001). Subsequently, we used the XGboost model to produce a comprehensive depressive symptom evaluation model and developed a corresponding online tool (http://8.130.128.194:5000/) to evaluate depressive symptoms clinically. LIMITATIONS The cross-sectional study could not yield any conclusions regarding causality, and the model has not been validated with external data. CONCLUSIONS Carbohydrate quality is associated with depressive symptoms, and machine learning models that combine diet with socioeconomic factors can be a tool for predicting depression severity.
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Affiliation(s)
- Xiangji Dang
- Department of Pharmaceutical, Lanzhou University Second Hospital, Cui Ying Men No.80, Lanzhou 730030, Gansu Province, PR China
| | - Ruifeng Yang
- School of Second Clinical Medical, Lanzhou University, Donggang West Road No. 199, Lanzhou 730020, PR China
| | - Qi Jing
- School of Second Clinical Medical, Lanzhou University, Donggang West Road No. 199, Lanzhou 730020, PR China
| | - Yingdi Niu
- Science and Technology Museum, Gansu, Yin'an Road No.568, Lanzhou 730070, PR China
| | - Hongjie Li
- School of Second Clinical Medical, Lanzhou University, Donggang West Road No. 199, Lanzhou 730020, PR China
| | - Jingxuan Zhang
- School of Second Clinical Medical, Lanzhou University, Donggang West Road No. 199, Lanzhou 730020, PR China
| | - Yan Liu
- School of Pharmacy, Lanzhou University, Donggang West Road No. 199, Gansu 730020, P.R. China.
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Jabeen S, Zakar R, Zakar MZ, Fischer F. Experiences of family caregivers in dealing with cases of advanced breast cancer: a qualitative study of the sociocultural context in Punjab, Pakistan. BMC Public Health 2024; 24:1030. [PMID: 38609905 PMCID: PMC11015732 DOI: 10.1186/s12889-024-18404-1] [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: 08/13/2023] [Accepted: 03/20/2024] [Indexed: 04/14/2024] Open
Abstract
BACKGROUND Patients with advanced breast cancer require consistent help and support from family caregivers. These caregivers often endure financial burdens and psychological stress, with their experiences significantly influenced by sociocultural factors. This study aims to explore the experiences of family caregivers of advanced breast cancer patients in Punjab province, Pakistan. METHODS Data was collected through in-depth interviews with fifteen family caregivers of advanced breast cancer patients in three major cities of Punjab, Pakistan. Caregivers, who had been in close contact with the patient for the last two years, were purposively sampled from five major hospitals. The data was analyzed using thematic analysis. RESULTS The study revealed that the experiences of family caregivers are deeply rooted in the sociocultural context. Key themes identified include social responsibility and cultural reciprocity norms; limited awareness and mobility options for caregivers; financial responsibility and strain; impacts of beauty myths and shyness on caregiving attitudes and decisions; the stressful and emotional nature of caregiving; treatment perspectives influenced by social groups; challenges in consulting male physicians and associated stigma; the role of religious beliefs in caregiving; and stress management, with religion often being a coping mechanism. These factors can contribute to delayed treatment decisions for patients. CONCLUSIONS Family caregivers are crucial in facilitating timely treatment decisions for advanced breast cancer patients in the Pakistani context. To minimize treatment delays and alleviate caregiver stress, addressing sociocultural barriers in care-seeking is essential. A tailored approach, considering sociocultural and religious factors, is imperative for the management and early diagnosis of breast cancer, necessitating appropriate policymaking and implementation.
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Affiliation(s)
- Sadia Jabeen
- Department of Sociology, Virtual University of Pakistan, Lahore, Pakistan
| | - Rubeena Zakar
- Institute of Social and Cultural Studies, University of the Punjab, Lahore, Pakistan
| | | | - Florian Fischer
- Institute of Public Health, Charité- Universitätsmedizin Berlin Institute of Public Health, Charitéplatz 1, 10117, Berlin, Germany.
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Jiang Y, Cai Y, Teng T, Wang X, Yin B, Li X, Yu Y, Liu X, Wang J, Wu H, He Y, Zhu ZJ, Zhou X. Dysregulations of amino acid metabolism and lipid metabolism in urine of children and adolescents with major depressive disorder: a case-control study. Psychopharmacology (Berl) 2024:10.1007/s00213-024-06590-0. [PMID: 38605232 DOI: 10.1007/s00213-024-06590-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Accepted: 04/08/2024] [Indexed: 04/13/2024]
Abstract
RATIONALE The mechanisms underlying major depressive disorder (MDD) in children and adolescents are unclear. Metabolomics has been utilized to capture metabolic signatures of various psychiatric disorders; however, urinary metabolic profile of MDD in children and adolescents has not been studied. OBJECTIVES We analyzed urinary metabolites in children and adolescents with MDD to identify potential biomarkers and metabolic signatures. METHODS Here, liquid chromatography-mass spectrometry was used to profile metabolites in urine samples from 192 subjects, comprising 80 individuals with antidepressant-naïve MDD (AN-MDD), 37 with antidepressant-treated MDD (AT-MDD) and 75 healthy controls (HC). We performed orthogonal partial least squares discriminant analysis to identify differential metabolites and employed logistic regression and receiver operating characteristic analysis to establish a diagnostic panel. RESULTS In total, 143 and 71 differential metabolites were identified in AN-MDD and AT-MDD, respectively. These were primarily linked to lipid metabolism, molecular transport, and small molecule biochemistry. AN-MDD additionally exhibited dysregulated amino acid metabolism. Compared to HC, a diagnostic panel of seven metabolites displayed area under the receiver operating characteristic curves of 0.792 for AN-MDD, 0.828 for AT-MDD, and 0.799 for all MDD. Furthermore, the urinary metabolic profiles of children and adolescents with MDD significantly differed from those of adult MDD. CONCLUSIONS Our research suggests dysregulated amino acid metabolism and lipid metabolism in the urine of children and adolescents with MDD, similar to results in plasma metabolomics studies. This contributes to the comprehension of mechanisms underlying children and adolescents with MDD.
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Affiliation(s)
- Yuanliang Jiang
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Yuping Cai
- Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai, China
| | - Teng Teng
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Xiaolin Wang
- Health Management Center, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Bangmin Yin
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Xuemei Li
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Ying Yu
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Xueer Liu
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Jie Wang
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Hongyan Wu
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Yuqian He
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Zheng-Jiang Zhu
- Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai, China.
- Shanghai Key Laboratory of Aging Studies, Shanghai, China.
| | - Xinyu Zhou
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
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Gracia-Tabuenca Z, Barbeau EB, Xia Y, Chai X. Predicting depression risk in early adolescence via multimodal brain imaging. Neuroimage Clin 2024; 42:103604. [PMID: 38603863 PMCID: PMC11015491 DOI: 10.1016/j.nicl.2024.103604] [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: 12/14/2023] [Revised: 03/06/2024] [Accepted: 04/07/2024] [Indexed: 04/13/2024]
Abstract
Depression is an incapacitating psychiatric disorder with increased risk through adolescence. Among other factors, children with family history of depression have significantly higher risk of developing depression. Early identification of pre-adolescent children who are at risk of depression is crucial for early intervention and prevention. In this study, we used a large longitudinal sample from the Adolescent Brain Cognitive Development (ABCD) Study (2658 participants after imaging quality control, between 9-10 years at baseline), we applied advanced machine learning methods to predict depression risk at the two-year follow-up from the baseline assessment, using a set of comprehensive multimodal neuroimaging features derived from structural MRI, diffusion tensor imaging, and task and rest functional MRI. Prediction performance underwent a rigorous cross-validation method of leave-one-site-out. Our results demonstrate that all brain features had prediction scores significantly better than expected by chance, with brain features from rest-fMRI showing the best classification performance in the high-risk group of participants with parental history of depression (N = 625). Specifically, rest-fMRI features, which came from functional connectomes, showed significantly better classification performance than other brain features. This finding highlights the key role of the interacting elements of the connectome in capturing more individual variability in psychopathology compared to measures of single brain regions. Our study contributes to the effort of identifying biological risks of depression in early adolescence in population-based samples.
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Affiliation(s)
- Zeus Gracia-Tabuenca
- Department of Statistical Methods, University of Zaragoza, Zaragoza, Spain; Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada.
| | - Elise B Barbeau
- Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada
| | - Yu Xia
- Department of Bioengineering, McGill University, Montreal, Quebec, Canada
| | - Xiaoqian Chai
- Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada
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Wiklund CA, Ekblom Ö, Paulsson S, Lindwall M, Ekblom-Bak E. Cardiorespiratory fitness in midlife and subsequent incident depression, long-term sickness absence, and disability pension due to depression in 330,247 men and women. Prev Med 2024; 181:107916. [PMID: 38403033 DOI: 10.1016/j.ypmed.2024.107916] [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: 11/14/2023] [Revised: 02/21/2024] [Accepted: 02/22/2024] [Indexed: 02/27/2024]
Abstract
OBJECTIVE Specific information for whom and when cardiorespiratory fitness (CRF) is associated with depression risk is lacking. We aimed to study the association between adulthood CRF and incident depression, long-term sickness absence, and disability pension due to depression, as well as examine moderation of sex, age, education, and occupation on associations. METHODS A large prospective cohort study follows participants over time with Swedish occupational health screenings data. The study includes 330,247 individuals (aged 16-79 years, 46% women) without a depression diagnosis at baseline. CRF was estimated from a submaximal cycle test. RESULTS CRF was associated beneficially from low to higher levels with incident depression and long-term sickness absence due to depression. Further, CRF at high levels (≥46 ml/min/kg) was associated with a decreased risk of receiving disability pension due to depression. The associations remained after adjustment for age and sex, but not lifestyle-related factors and co-morbidity. Participants with moderate and high CRF had 16% and 21%, respectively, lower risk for incident depression, and participants with high CRF had 11% lower risk for long-term sickness absence due to depression. Associations between higher CRF and the outcomes were mainly evident in men, younger participants, and individuals with low education. CONCLUSION In a large sample of adults without a depression diagnosis at baseline, higher CRF was shown to be beneficially related to the risk of incident depression and, to some extent, long-term sickness absence due to depression. If causal, targeted interventions focusing on increasing CRF in these sub-groups should be prioritized.
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Affiliation(s)
- Camilla A Wiklund
- The Swedish School of Sport and Health Sciences, Department of Physical Activity and Health, Box 5626, 114 86 Stockholm, Sweden.
| | - Örjan Ekblom
- The Swedish School of Sport and Health Sciences, Department of Physical Activity and Health, Box 5626, 114 86 Stockholm, Sweden
| | - Sofia Paulsson
- Research Department, HPI Health Profile Institute, Box 35, 182 11 Danderyd, Sweden
| | - Magnus Lindwall
- The Swedish School of Sport and Health Sciences, Department of Physical Activity and Health, Box 5626, 114 86 Stockholm, Sweden; Department of Psychology, University of Gothenburg, Box 500, 40530 Gothenburg, Sweden
| | - Elin Ekblom-Bak
- The Swedish School of Sport and Health Sciences, Department of Physical Activity and Health, Box 5626, 114 86 Stockholm, Sweden
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Dahl J, Ormstad H, Aass HCD, Malt UF, Andreassen OA. Changes in pain during a depressive episode and relationship to cytokine levels in major depressive disorder. Nord J Psychiatry 2024; 78:181-188. [PMID: 38251060 DOI: 10.1080/08039488.2023.2290654] [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: 11/12/2022] [Accepted: 11/24/2023] [Indexed: 01/23/2024]
Abstract
BACKGROUND Depressed patients have an increased incidence of pain. A pathophysiological connection between depression and pain is still not revealed. Immunological activation has been found in both depression and pain. There are few studies of pain and immune activation in patients with depression, without inflammatory and autoimmune disorders. METHODS This is a naturalistic follow-up study of 50 patients with a major depressive disorder (MDD) depressive episode, without any inflammatory or autoimmune conditions. We have previously reported on the relationship between depression and cytokine levels. In this study, we obtained data of depression, pain and cytokine levels before and after 12 weeks of depression treatment. All patients were medication-free at inclusion. RESULTS At inclusion three out of four patients experienced pain, and the pain scores correlated with the depression scores. After treatment, as depression was relieved, the pain scores dropped significantly and were no longer correlated to the depression scores. There were no correlations between pain scores and cytokine levels. Pain level at inclusion did not correlate with depression treatment outcome. CONCLUSION Our findings indicate that pain is a feature of depression. Pain levels and cytokine values didn't correlate. Pain at inclusion did not predict depression treatment outcome.
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Affiliation(s)
- Johan Dahl
- Research Department, Modum Bad Research Institute, Vikersund, Norway
| | - Heidi Ormstad
- Department of Research and Innovation, University of South-Eastern Norway, Drammen, Norway
| | - Hans Christian D Aass
- The Blood Cell Research Group, Department of Medical Biochemistry, Oslo University Hospital, Ullevål, Norway
| | - Ulrik Fredrik Malt
- Faculty of Medicine, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Ole A Andreassen
- Department of Research and Innovation, University of South-Eastern Norway, Drammen, Norway
- The Blood Cell Research Group, Department of Medical Biochemistry, Oslo University Hospital, Ullevål, Norway
- NORMENT Centre, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
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Jiang Y, Zhu D, Huang X, Li Y, Chen Y, Jiang Y, Wang W, Guo L, Chen Y, Liao Y, Liu Y, Zhang H, Le GH, McIntyre RS, Fan B, Lu C. Associations between somatic symptoms and remission of major depressive disorder: A longitudinal study in China. J Psychiatr Res 2024; 172:382-390. [PMID: 38452636 DOI: 10.1016/j.jpsychires.2024.02.056] [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: 10/07/2023] [Revised: 02/17/2024] [Accepted: 02/24/2024] [Indexed: 03/09/2024]
Abstract
Previous studies have documented negative associations between somatic symptoms and remission of major depressive disorder (MDD). However, the correlations of specific somatic symptoms with remission remain uncertain. We aimed to explore the associations between specific somatic symptoms and remission focusing on sex differences among patients with MDD. We used data from patients with MDD in the Depression Cohort in China. At baseline, total somatic symptoms were evaluated using the 28-item Somatic Symptoms Inventory and were categorized into pain, autonomic, energy, and central nervous system (CNS) symptoms. To measure remission of MDD, depressive symptoms were evaluated using the Patient Health Questionnaire-9 after 3 months of treatment. We ultimately included 634 patients. Compared with quartile 1 of total somatic symptom scores, the full-adjusted ORs (95% CIs) for remission from quartile 2 to quartile 4 were 0.52 (0.30, 0.90), 0.44 (0.23, 0.83), and 0.36 (0.17, 0.75), respectively (P-value for trend = 0.005). The restricted cubic spline showed no non-linear associations between total somatic symptoms with remission (P-value for non-linear = 0.238). Pain, autonomic, and CNS symptoms showed similar results. Sex-stratified analysis showed that total somatic symptoms, pain symptoms, and autonomic symptoms were negatively correlated with remission in females, whereas CNS symptoms were negatively associated with remission in males. Our findings indicate that specific somatic symptoms exert differential effects on remission of MDD. Therapeutic interventions that target pain, autonomic, and CNS symptoms may increase the probability of remission. Furthermore, interventions for somatic symptoms should be tailored by sex, and females deserve more attention.
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Affiliation(s)
- Yingchen Jiang
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China; Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Dongjian Zhu
- Department of Psychiatry, Shenzhen Nanshan Center for Chronic Disease Control, Shenzhen, China
| | - Xinyu Huang
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China; Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Yanzhi Li
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China; Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Ya Chen
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China; Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Yunbin Jiang
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China; Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Wanxin Wang
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China; Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Lan Guo
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China; Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Yan Chen
- Department of Psychiatry, Shenzhen Nanshan Center for Chronic Disease Control, Shenzhen, China
| | - Yuhua Liao
- Department of Psychiatry, Shenzhen Nanshan Center for Chronic Disease Control, Shenzhen, China
| | - Yifeng Liu
- Department of Psychiatry, Shenzhen Nanshan Center for Chronic Disease Control, Shenzhen, China
| | - Huimin Zhang
- Department of Psychiatry, Shenzhen Nanshan Center for Chronic Disease Control, Shenzhen, China
| | - Gia Han Le
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada; Brain and Cognition Discovery Foundation, Toronto, Ontario, Canada; Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, Ontario, Canada
| | - Roger S McIntyre
- Brain and Cognition Discovery Foundation, Toronto, Ontario, Canada; Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, Ontario, Canada; Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada; Department of Pharmacology and Toxicology, University of Toronto, Toronto, Ontario, Canada
| | - Beifang Fan
- Department of Psychiatry, Shenzhen Nanshan Center for Chronic Disease Control, Shenzhen, China.
| | - Ciyong Lu
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China; Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Sun Yat-sen University, Guangzhou, 510080, China.
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Liu W, Jiang X, Deng Z, Xie Y, Guo Y, Wu Y, Sun Q, Kong L, Wu F, Tang Y. Functional and structural alterations in different durations of untreated illness in the frontal and parietal lobe in major depressive disorder. Eur Arch Psychiatry Clin Neurosci 2024; 274:629-642. [PMID: 37542558 PMCID: PMC10995069 DOI: 10.1007/s00406-023-01625-7] [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: 11/17/2022] [Accepted: 05/22/2023] [Indexed: 08/07/2023]
Abstract
Major depressive disorder (MDD) is one of the most disabling illnesses that profoundly restricts psychosocial functions and impairs quality of life. However, the treatment rate of MDD is surprisingly low because the availability and acceptability of appropriate treatments are limited. Therefore, identifying whether and how treatment delay affects the brain and the initial time point of the alterations is imperative, but these changes have not been thoroughly explored. We investigated the functional and structural alterations of MDD for different durations of untreated illness (DUI) using regional homogeneity (ReHo) and voxel-based morphometry (VBM) with a sample of 125 treatment-naïve MDD patients and 100 healthy controls (HCs). The MDD patients were subgrouped based on the DUI, namely, DUI ≤ 1 M, 1 < DUI ≤ 6 M, 6 < DUI ≤ 12 M, and 12 < DUI ≤ 48 M. Subgroup comparison (MDD with different DUIs) was applied to compare ReHo and grey matter volume (GMV) extracted from clusters of regions with significant differences (the pooled MDD patients relative to HCs). Correlations and mediation effects were analysed to estimate the relationships between the functional and structural neuroimaging changes and clinical characteristics. MDD patients exhibited decreased ReHo in the left postcentral gyrus and precentral gyrus and reduced GMV in the left middle frontal gyrus and superior frontal gyrus relative to HCs. The initial functional abnormalities were detected after being untreated for 1 month, whereas this duration was 3 months for GMV reduction. Nevertheless, a transient increase in ReHo was observed after being untreated for 3 months. No significant differences were discovered between HCs and MDD patients with a DUI less than 1 month or among MDD patients with different DUIs in either ReHo or GMV. Longer DUI was related to reduced ReHo with GMV as mediator in MDD patients. We identified disassociated functional and anatomical alterations in treatment-naïve MDD patients at different time points in distinct brain regions at the early stage of the disease. Additionally, we also discovered that GMV mediated the relationship between a longer DUI and diminished ReHo in MDD patients, disclosing the latent deleterious and neuro-progressive implications of DUI on both the structure and function of the brain and indicating the necessity of early treatment of MDD.
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Affiliation(s)
- Wen Liu
- Brain Function Research Section, The First Hospital of China Medical University, Shenyang, 110001, Liaoning, People's Republic of China
- Department of Psychiatry, The First Hospital of China Medical University, Shenyang, 110001, Liaoning, People's Republic of China
| | - Xiaowei Jiang
- Brain Function Research Section, The First Hospital of China Medical University, Shenyang, 110001, Liaoning, People's Republic of China
- Department of Radiology, The First Hospital of China Medical University, Shenyang, 110001, Liaoning, People's Republic of China
| | - Zijing Deng
- Brain Function Research Section, The First Hospital of China Medical University, Shenyang, 110001, Liaoning, People's Republic of China
- Department of Psychiatry, The First Hospital of China Medical University, Shenyang, 110001, Liaoning, People's Republic of China
| | - Yu Xie
- Brain Function Research Section, The First Hospital of China Medical University, Shenyang, 110001, Liaoning, People's Republic of China
| | - Yingrui Guo
- Brain Function Research Section, The First Hospital of China Medical University, Shenyang, 110001, Liaoning, People's Republic of China
- Department of Psychiatry, The First Hospital of China Medical University, Shenyang, 110001, Liaoning, People's Republic of China
| | - Yifan Wu
- Brain Function Research Section, The First Hospital of China Medical University, Shenyang, 110001, Liaoning, People's Republic of China
- Department of Psychiatry, The First Hospital of China Medical University, Shenyang, 110001, Liaoning, People's Republic of China
| | - Qikun Sun
- Department of Radiation Oncology, The First Hospital of China Medical University, Shenyang, 110001, Liaoning, People's Republic of China
| | - Lingtao Kong
- Brain Function Research Section, The First Hospital of China Medical University, Shenyang, 110001, Liaoning, People's Republic of China
- Department of Psychiatry, The First Hospital of China Medical University, Shenyang, 110001, Liaoning, People's Republic of China
| | - Feng Wu
- Brain Function Research Section, The First Hospital of China Medical University, Shenyang, 110001, Liaoning, People's Republic of China
- Department of Psychiatry, The First Hospital of China Medical University, Shenyang, 110001, Liaoning, People's Republic of China
| | - Yanqing Tang
- Department of Psychiatry, The First Hospital of China Medical University, Shenyang, 110001, Liaoning, People's Republic of China.
- Department of Gerontology, The First Hospital of China Medical University, Shenyang, 110001, Liaoning, People's Republic of China.
- Department of Psychiatry and Geriatric Medicine, The First Hospital of China Medical University, 155 Nanjing North Street, Shenyang, 110001, Liaoning, People's Republic of China.
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Wu H, Lu B, Zhang Y, Li T. Differences in prefrontal cortex activation in Chinese college students with different severities of depressive symptoms: A large sample of functional near-infrared spectroscopy (fNIRS) findings. J Affect Disord 2024; 350:521-530. [PMID: 38237870 DOI: 10.1016/j.jad.2024.01.044] [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: 03/26/2023] [Revised: 11/23/2023] [Accepted: 01/03/2024] [Indexed: 01/25/2024]
Abstract
BACKGROUND Previous studies proposed that functional near-infrared spectroscopy (fNIRS) can be used to distinguish between not only different severities of depressive symptoms but also different subgroups of depression, such as anxious and non-anxious depression, bipolar and unipolar depression, and melancholia and non-melancholia depression. However, the differences in brain haemodynamic activation between depression subgroups (such as confirmed depression [CD] and suspected depression [SD]) with different symptom severities and the possible correlation between symptom severity and haemodynamic activation in specific brain regions using fNIRS have yet to be clarified. METHODS The severity of depression symptoms was classified using the Hospital Anxiety and Depression scale (HADS) and the Mini International Neuropsychiatric Interview by psychiatrists. We recruited 654 patients with depression who had varying severities of depressive symptoms, including 276 with SD and 378 with CD, and 317 with HCs from among Chinese college students. The 53-channel fNIRS was used to detect the cerebral hemodynamic difference of the three groups during the VFT (verbal fluency task). RESULTS Compared with the HC, region-specific fNIRS leads indicate CD patients had significant lower haemodynamic activation in three particular prefrontal regions: 1) right dorsolateral prefrontal cortex (DLPFC), 2) bilateral frontopolar cortex (FPC), and 3) right Broca's area (BA). SD vs. HC comparisons revealed only significant lower haemodynamic activation in the right FPC area. Compared to SD patients, CD patients exhibited decreased hemodynamic activation changes in the right DLPFC and the right BA. Correlation analysis established a significant negative correlation between the hemodynamic changes in the bilateral FPC and the severity of depressive symptoms. CONCLUSIONS The right DLPFC and right BA are expected to be physiological mechanisms to distinguish depression subgroups (CD, SD) with different symptom severities. The haemodynamic changes in the bilateral FPC was nagatively associated with the symptom severity of depression.
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Affiliation(s)
- Huifen Wu
- School of Education and psychology, Hubei Engineering University, Xiaogan, China
| | - Baoquan Lu
- School of Education and psychology, Hubei Engineering University, Xiaogan, China.
| | - Yan Zhang
- School of Education, Huazhong University of Science and Technology, Wuhan, China.
| | - Taiping Li
- School of Education and psychology, Hubei Engineering University, Xiaogan, China.
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von Mücke-Heim IA, Pape JC, Grandi NC, Erhardt A, Deussing JM, Binder EB. Multiomics and blood-based biomarkers of electroconvulsive therapy in severe and treatment-resistant depression: study protocol of the DetECT study. Eur Arch Psychiatry Clin Neurosci 2024; 274:673-684. [PMID: 37644215 PMCID: PMC10995021 DOI: 10.1007/s00406-023-01647-1] [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: 02/24/2023] [Accepted: 07/07/2023] [Indexed: 08/31/2023]
Abstract
Electroconvulsive therapy (ECT) is commonly used to treat treatment-resistant depression (TRD). However, our knowledge of the ECT-induced molecular mechanisms causing clinical improvement is limited. To address this issue, we developed the single-center, prospective observational DetECT study ("Multimodal Biomarkers of ECT in TRD"; registered 18/07/2022, www.clinicalTrials.gov , NCT05463562). Its objective is to identify molecular, psychological, socioeconomic, and clinical biomarkers of ECT response in TRD. We aim to recruit n = 134 patients in 3 years. Over the course of 12 biweekly ECT sessions (± 7 weeks), participant blood is collected before and 1 h after the first and seventh ECT and within 1 week after the twelfth session. In pilot subjects (first n = 10), additional blood draws are performed 3 and 6 h after the first ECT session to determine the optimal post-ECT blood draw interval. In blood samples, multiomic analyses are performed focusing on genotyping, epigenetics, RNA sequencing, neuron-derived exosomes, purines, and immunometabolics. To determine clinical response and side effects, participants are asked weekly to complete four standardized self-rating questionnaires on depressive and somatic symptoms. Additionally, clinician ratings are obtained three times (weeks 1, 4, and 7) within structured clinical interviews. Medical and sociodemographic data are extracted from patient records. The multimodal data collected are used to perform the conventional statistics as well as mixed linear modeling to identify clusters that link biobehavioural measures to ECT response. The DetECT study can provide important insight into the complex mechanisms of ECT in TRD and a step toward biologically informed and data-driven-based ECT biomarkers.
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Affiliation(s)
- Iven-Alex von Mücke-Heim
- Department Genes and Environment, Max Planck Institute of Psychiatry, Kraepelinstraße 2-10, 80804, Munich, Germany
- Research Group Molecular Neurogenetics, Max Planck Institute of Psychiatry, Kraepelinstraße 2-10, 80804, Munich, Germany
- Department of Psychiatry, Clinical Anxiety Research, University of Würzburg, Josef-Schneider-Straße 2, 97080, Würzburg, Germany
| | - Julius C Pape
- Department Genes and Environment, Max Planck Institute of Psychiatry, Kraepelinstraße 2-10, 80804, Munich, Germany.
- Department of Psychiatry, Clinical Anxiety Research, University of Würzburg, Josef-Schneider-Straße 2, 97080, Würzburg, Germany.
| | - Norma C Grandi
- Department Genes and Environment, Max Planck Institute of Psychiatry, Kraepelinstraße 2-10, 80804, Munich, Germany
- Department of Psychiatry, Clinical Anxiety Research, University of Würzburg, Josef-Schneider-Straße 2, 97080, Würzburg, Germany
| | - Angelika Erhardt
- Department Genes and Environment, Max Planck Institute of Psychiatry, Kraepelinstraße 2-10, 80804, Munich, Germany
- Department of Psychiatry, Clinical Anxiety Research, University of Würzburg, Josef-Schneider-Straße 2, 97080, Würzburg, Germany
| | - Jan M Deussing
- Research Group Molecular Neurogenetics, Max Planck Institute of Psychiatry, Kraepelinstraße 2-10, 80804, Munich, Germany
- Department of Psychiatry, Clinical Anxiety Research, University of Würzburg, Josef-Schneider-Straße 2, 97080, Würzburg, Germany
| | - Elisabeth B Binder
- Department Genes and Environment, Max Planck Institute of Psychiatry, Kraepelinstraße 2-10, 80804, Munich, Germany
- Department of Psychiatry, Clinical Anxiety Research, University of Würzburg, Josef-Schneider-Straße 2, 97080, Würzburg, Germany
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Parmar UI, Puradkar P, Kadam K, Tadavi F, Gajbhiye S, Joshi S, Sohal A. An observational study to evaluate the awareness of drug treatment, prescription pattern, adverse drug reactions, and adherence in patients of major depressive disorder. Perspect Clin Res 2024; 15:59-65. [PMID: 38765546 PMCID: PMC11101007 DOI: 10.4103/picr.picr_113_23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Revised: 07/14/2023] [Accepted: 07/19/2023] [Indexed: 05/22/2024] Open
Abstract
Aims Due to the paucity of studies in and out of India that dealt with treatment awareness of major depressive disorder (MDD), we decided to assess the awareness of MDD patients, and since adherence and awareness are linked to each other, we assessed adherence too. Prescription pattern studies identify changes in prescriptions due to poor initial response or adverse drug reactions (ADRs), which may result in dose reduction or switching medications and delay remission. Therefore, the study assessed the ADR pattern. Methodology A cross-sectional questionnaire-based study was carried out on 200 MDD patients with treatment records for at least 3 months after getting approval from the Institutional Ethics Committee and consent from the patients. The data obtained were entered in Microsoft Excel and analyzed using descriptive statistics. Results The mean age was 44.65 ± 12.02 years, and females were 70%. Maximum patients (98%) were aware of the consequence of stopping the drugs suddenly, and only 12.5% were aware of the onset of response to treatment. Escitalopram was the most common antidepressant prescribed (43.77%), and 67 ADRs out of 136 were attributable to it. Weakness and fatigue were the most common ADRs. The majority (97) of the ADRs were possibly related to antidepressants, and 65% of patients showed optimal adherence to medications. Conclusions This study sheds light on the treatment awareness and adherence of MDD patients in India and highlights the need for educating patients about treatment response. It also emphasizes the importance of monitoring ADRs and adjusting prescription patterns accordingly to improve treatment outcomes.
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Affiliation(s)
- Urwashi Indrakumar Parmar
- Department of Pharmacology and Therapeutics, Seth G. S. Medical College and K. E. M Hospital, Mumbai, Maharashtra, India
| | - Pranali Puradkar
- Department of Pharmacology and Therapeutics, Seth G. S. Medical College and K. E. M Hospital, Mumbai, Maharashtra, India
| | - Kranti Kadam
- Department of Psychiatry, Seth G. S. Medical College and K. E. M Hospital, Mumbai, Maharashtra, India
| | - Firoz Tadavi
- Department of Pharmacology, Lokmanya Tilak Municipal Medical College, Mumbai, Maharashtra, India
| | - Snehalata Gajbhiye
- Department of Pharmacology, Lokmanya Tilak Municipal Medical College, Mumbai, Maharashtra, India
| | - Shirish Joshi
- Department of Pharmacology and Therapeutics, Seth G. S. Medical College and K. E. M Hospital, Mumbai, Maharashtra, India
| | - Amitoj Sohal
- Department of Pharmacology and Therapeutics, Seth G. S. Medical College and K. E. M Hospital, Mumbai, Maharashtra, India
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Kong Y, Yao Z, Ren L, Zhou L, Zhao J, Qian Y, Lou D. Depression and hepatobiliary diseases: a bidirectional Mendelian randomization study. Front Psychiatry 2024; 15:1366509. [PMID: 38596638 PMCID: PMC11002219 DOI: 10.3389/fpsyt.2024.1366509] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/06/2024] [Accepted: 03/11/2024] [Indexed: 04/11/2024] Open
Abstract
Background More and more evidence suggests a close association between depression and hepatobiliary diseases, but its causal relationship is not yet clear. Method Using genome-wide association studies (GWAS) to summarize data, independent genetic variations associated with depression were selected as instrumental variables. Firstly, we designed a univariate Mendelian randomization (UVMR) analysis with two samples and simultaneously conducted reverse validation to evaluate the potential bidirectional causal relationship between depression and various hepatobiliary diseases. Secondly, we conducted a multivariate Mendelian randomization (MVMR) analysis on diseases closely related to depression, exploring the mediating effects of waist to hip ratio, hypertension, and daytime nap. The mediating effects were obtained through MVMR. For UVMR and MVMR, inverse variance weighted method (IVW) is considered the most important analytical method. Sensitivity analysis was conducted using Cochran'Q, MR Egger, and Leave-one-out methods. Results UVMR analysis showed that depression may increase the risk of non-alcoholic fatty liver disease (OR, 1.22; 95% CI, 1.03-1.46; p=0.0248) in liver diseases, while depression does not increase the risk of other liver diseases; In biliary and pancreatic related diseases, depression may increase the risk of cholelithiasis (OR, 1.26; 95% CI, 1.05-1.50; p=0.0120), chronic pancreatitis (OR, 1.61; 95% CI, 1.10-2.35; p=0.0140), and cholecystitis (OR, 1.23; 95% CI, 1.03-1.48; p=0.0250). In addition, through reverse validation, we found that non-alcoholic fatty liver disease, cholelithiasis, chronic pancreatitis, cholecystitis, or the inability to increase the risk of depression (p>0.05). The waist to hip ratio, hypertension, and daytime nap play a certain role in the process of depression leading to non-alcoholic fatty liver disease, with a mediating effect of 35.8%. Conclusion Depression is a susceptibility factor for non-alcoholic fatty liver disease, and the causal effect of genetic susceptibility to depression on non-alcoholic fatty liver disease is mediated by waist-hip ratio, hypertension, and daytime nap.
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Affiliation(s)
- Yu Kong
- Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Zhongcai Yao
- Zhuji Hospital Affiliated of Wenzhou Medical University, Shaoxing, Zhejiang, China
| | - Lingli Ren
- Zhuji Hospital Affiliated of Wenzhou Medical University, Shaoxing, Zhejiang, China
| | - Liqin Zhou
- Zhuji Hospital Affiliated of Wenzhou Medical University, Shaoxing, Zhejiang, China
| | - Jinkai Zhao
- Zhuji Hospital Affiliated of Wenzhou Medical University, Shaoxing, Zhejiang, China
| | - Yuanyuan Qian
- Basic Medical College, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
| | - Dayong Lou
- Wenzhou Medical University, Wenzhou, Zhejiang, China
- Zhuji Hospital Affiliated of Wenzhou Medical University, Shaoxing, Zhejiang, China
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49
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Ma Y, Zhou X, Zhang F, Huang C, Yang H, Chen W, Tao X. The effect of scutellaria baicalensis and its active ingredients on major depressive disorder: a systematic review and meta-analysis of literature in pre-clinical research. Front Pharmacol 2024; 15:1313871. [PMID: 38572433 PMCID: PMC10987764 DOI: 10.3389/fphar.2024.1313871] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Accepted: 02/23/2024] [Indexed: 04/05/2024] Open
Abstract
Background: Scutellaria baicalensis, the dry root of scutellaria baicalensis georgi, is a traditional Chinese medicine with long. In clinic, scutellaria baicalensis is commonly used in prescription for the treatment of depression. Additionally, numerous pre-clinical studies have shown that Scutellaria baicalensis and its active constituents are effective for depression. In this study, we aims to systematically review the roles of scutellaria baicalensis in depression and summarize the possible mechanism. Methods: A systematic review and meta-analysis were conducted to analyze the existing studies on the effects of scutellaria baicalensis on depression in animal models. Briefly, we searched electronic databases including Pubmed and Embase for preclinical trial studies from inception to September 2023. The items in each study were evaluated by two independent reviewers, and meta-analyses were performed on scutellaria baicalensis-induced behavioral changes in the study. Finally, random effects model is used to collect data. Results: A total of 49 studies were identified, and 13 studies were included in the final analysis. They all reported the different antidepressant effects of scutellaria baicalensis and the underlying biological mechanisms. Among the included 13 studies, the results of eight articles SPT[SMD = -2.80, 95%CI(-4.03, -1.57), p < 0.01], the results of the nine articles OFT[SMD = -2.38, 95%CI(-3.53, -1.23), p < 0.01], and the results of two articles NSFT[SMD = -2.98, 95%CI(-3.94, -2.02), p < 0.01] were significantly different from the control group. The risk of bias was moderate in all studies, however, there was a significant heterogeneity among studies. Conclusion: These results preliminarily suggest that scutellaria baicalensis can alleviate depressive behaviors and modulate underlying mechanisms, which is expected to be a promising antidepressant.
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Affiliation(s)
- Ying Ma
- Department of Pharmacy, Changzheng Hospital, Second Military Medical University, Shanghai, China
| | - Xun Zhou
- Department of Pharmacy, Changzheng Hospital, Second Military Medical University, Shanghai, China
| | - Feng Zhang
- Department of Pharmacy, Changzheng Hospital, Second Military Medical University, Shanghai, China
| | - Cuiyun Huang
- Department of Pharmacy, Changzheng Hospital, Second Military Medical University, Shanghai, China
| | - Hong Yang
- Department of Pharmacy, Changzheng Hospital, Second Military Medical University, Shanghai, China
| | - Wansheng Chen
- Department of Pharmacy, Changzheng Hospital, Second Military Medical University, Shanghai, China
- Institute of Chinese Materia Madica, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Xia Tao
- Department of Pharmacy, Changzheng Hospital, Second Military Medical University, Shanghai, China
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50
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Zhong Y, Perlman G, Klein DN, Jin J, Kotov R. The Prospective Predictive Power of Parent-Reported Personality Traits and Facets in First-Onset Depression in Adolescent Girls. Res Child Adolesc Psychopathol 2024:10.1007/s10802-024-01186-w. [PMID: 38502402 DOI: 10.1007/s10802-024-01186-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/23/2024] [Indexed: 03/21/2024]
Abstract
Certain personality traits and facets are well-known risk factors that predict first-onset depression during adolescence. However, prior research predominantly relied on self-reported data, which has limitations as a source of personality information. Reports from close informants have the potential to increase the predictive power of personality on first-onsets of depression in adolescents. With easy access to adolescents' behaviors across settings and time, parents may provide important additional information about their children's personality. The same personality trait(s) and facet(s) rated by selves (mean age 14.4 years old) and biological parents at baseline were used to prospectively predict depression onsets among 442 adolescent girls during a 72-month follow-up. First, bivariate logistic regression was used to examine whether parent-reported personality measures predicted adolescent girls' depression onsets; then multivariate logistic regression was used to test whether parent reports provided additional predictive power above and beyond self-reports of same trait or facet. Parent-reported personality traits and facets predicted adolescents' depression onsets, similar to findings using self-reported data. After controlling for the corresponding self-report measures, parent-reported higher openness (at the trait level) and higher depressivity (at the facet-level) incrementally predicted first-onset of depression in the sample. Findings demonstrated additional variance contributed by parent-reported personality measures and validated a multi-informant approach in using personality to prospectively predict onsets of depression in adolescent girls.
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Affiliation(s)
- Yiming Zhong
- Department of Psychology, The University of Hong Kong, Hong Kong SAR, China
| | - Greg Perlman
- Department of Psychiatry, Renaissance School of Medicine, Stony Brook University, Stony Brook, NY, USA
| | - Daniel N Klein
- Department of Psychiatry, Renaissance School of Medicine, Stony Brook University, Stony Brook, NY, USA
- Department of Psychology, Stony Brook University, Stony Brook, NY, USA
| | - Jingwen Jin
- Department of Psychology, The University of Hong Kong, Hong Kong SAR, China.
- State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong SAR, China.
| | - Roman Kotov
- Department of Psychiatry, Renaissance School of Medicine, Stony Brook University, Stony Brook, NY, USA.
- Department of Psychology, Stony Brook University, Stony Brook, NY, USA.
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