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Li M, Yang F, Zhang X, Yang H, He X, Mao Z, Mao L. Electroacupuncture attenuates depressive-like behaviors in poststroke depression mice through promoting hippocampal neurogenesis and inhibiting TLR4/NF-κB/NLRP3 signaling pathway. Neuroreport 2024; 35:947-960. [PMID: 39166408 PMCID: PMC11361353 DOI: 10.1097/wnr.0000000000002088] [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: 06/04/2024] [Accepted: 06/25/2024] [Indexed: 08/22/2024]
Abstract
The aim of this study was to investigate the impact and underlying molecular mechanisms of electroacupuncture on mice with poststroke depression (PSD). Mice were randomly allocated into sham, PSD, and electroacupuncture groups. Mice in the PSD and electroacupuncture groups underwent middle cerebral artery occlusion (MCAO) surgery following with sedentary behavior. Electroacupuncture targeting Zusanli (ST36) acupoint was performed 24 h after MCAO for 4 weeks in electroacupuncture group. The sucrose preference test, forced swimming test, open field test, tail suspension test, elevated plus maze, Catwalk analysis, RNA sequencing, Nissl staining, Golgi staining, TUNEL staining, Edu labeling, and doublecortin staining were performed. Lymphocyte subsets in peripheral blood and the levels of IL-1β, IL-6, TNF-α, and expression of Iba1/CD86, Iba1/NLRP3, TLR4/p38/NF-κB/NLRP3 pathways in the hippocampus were detected. Electroacupuncture effectively protected against the development of depression-like symptoms. The number of granulosa cells and doublecortin-positive cells in the dentate gyrus (DG) were significantly decreased in PSD group, which were significantly upregulated ( P < 0.01) by electroacupuncture. Electroacupuncture also significantly reduced ( P < 0.05) TUNEL-positive cells in the DG and CA1. RNA-seq revealed that electroacupuncture may exert antidepressant effect by regulating the inflammation mediated by TLR4/NF-κB/NLRP3 pathway in hippocampus. Electroacupuncture remarkably elevated ( P < 0.01) the ratio of CD4+ to CD8+ T cells and percentage of CD3-CD49b+ cells in CD45+CD49b+ cells in the peripheral blood. Electroacupuncture significantly reduced ( P < 0.05) the high levels of IL-1β, IL-6, TNF-α, iba1, TLR4, p-p38, p-NF-κB, and NLRP3 and sedentary behavior. Electroacupuncture was observed to mitigate depression symptoms and increase hippocampal neurogenesis in mice with PSD, possibly by inhibiting TLR4/p38/NF-κB/NLRP3 pathways and improving the microglia-mediated inflammatory microenvironment in the hippocampus.
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Affiliation(s)
- Ming Li
- Department of Rehabilitation Medicine
| | - Fang Yang
- Department of Rheumatoid Orthopedics, Affiliated Hospital of Gansu University of Traditional Chinese Medicine, Lanzhou, China
| | | | - Hong Yang
- Department of Rehabilitation Medicine
| | | | | | - Liya Mao
- Department of Rehabilitation Medicine
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2
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Lopez-Romeo S, Subira-Alvarez S, Miranda-Mendizabal A, Piqueras-Marques J, Leal-Pujol R, Recoder S, Calbo E, Casajuana-Closas M, Forero CG, Castellvi P. Having any mental health condition before the COVID-19 pandemic as a risk factor of COVID-19 contagion during the first year of pandemic: A Spanish adult cohort. Stress Health 2024; 40:e3446. [PMID: 39019647 DOI: 10.1002/smi.3446] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/09/2023] [Revised: 05/28/2024] [Accepted: 07/07/2024] [Indexed: 07/19/2024]
Abstract
Numerous studies suggest that subjects suffering from a mental health condition before the COVID-19 pandemic were at higher risk of contagion, but mostly are cross-sectional or retrospective. The BIOVAL-D-COVID-19 is a longitudinal cohort study design with 922 subjects who full filled two evaluations from an online survey of Spanish residents before and during the pandemic. Mental health conditions assessed were: Major Depressive Episode (MDE), Generalised Anxiety Disorder (GAD), Suicidal Thoughts and Behaviours (STB) and subthreshold of panic and bipolar disorder (BD). Mental health screening instruments used were: the Spanish version of the Composite International Diagnostic Interview (CIDI) version 3.0 for the evaluation of MDE, the GAD-7 scale to evaluate GAD; STB was evaluated with four items from the CIDI questionnaire. Panic Disorder and BD were screened from a modified and self-reported version of the CIDI. A bivariate plus five logistic regression models were developed for each mental health condition adjusted by socio-demographic variables; employment status; general and physical health; comorbidity; and including all previous variables and the other mental health conditions. We found in bivariate model that MDE; GAD and STB were statistically significant risk factors of contagion of COVID-19. The logistic regression models developed reveal that having a previous GAD (aOR 3.30 1.31-8.31) or STB (aOR 2.16 CI 95% 1.01-4.62) was statistically significant associated with COVID-19 contagion, independently of all variables included. MDE was not a risk factor of contagion when it was adjusted by comorbidity (aOR 0.99 CI 95% 0.47-2.09). It is recommended to detect those subjects with previous GAD or STB as vulnerable groups of infection to reduce contagion rates.
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Affiliation(s)
- Sheila Lopez-Romeo
- Benito Menni CASM, Sant Boi de Llobregat, Spain
- Department of Clinical and Health Psychology, Universitat Autonoma de Barcelona (UAB), Bellaterra, Spain
| | - Susana Subira-Alvarez
- Department of Clinical and Health Psychology, Universitat Autonoma de Barcelona (UAB), Bellaterra, Spain
| | | | - Jorge Piqueras-Marques
- Department of Medicine, School of Medicine and Health Sciences, Universitat Internacional de Catalunya (UIC), Sant Cugat del Vallès, Spain
| | - Raquel Leal-Pujol
- Department of Medicine, School of Medicine and Health Sciences, Universitat Internacional de Catalunya (UIC), Sant Cugat del Vallès, Spain
| | - Silvia Recoder
- Department of Basic Sciences, Universitat Internacional de Catalunya (UIC), Sant Cugat del Vallès, Spain
| | - Esther Calbo
- Department of Medicine, School of Medicine and Health Sciences, Universitat Internacional de Catalunya (UIC), Sant Cugat del Vallès, Spain
- Hospital Universitari Mútua Terrassa, Terrassa, Spain
| | - Marc Casajuana-Closas
- Institut Universitari de Investigació en Atenció Primaria Jordi Gol (IDIAP Jordi Gol), Barcelona, Spain
| | - Carlos G Forero
- Department of Medicine, School of Medicine and Health Sciences, Universitat Internacional de Catalunya (UIC), Sant Cugat del Vallès, Spain
| | - Pere Castellvi
- Department of Medicine, School of Medicine and Health Sciences, Universitat Internacional de Catalunya (UIC), Sant Cugat del Vallès, Spain
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3
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Wang F, Zhu D, Cao L, Wang S, Tong Y, Xie F, Zhang X, Su P, Wang G. Peripheral CD4 + T helper lymphocytes alterations in major depressive disorder: A systematic review and meta-analysis. Neuroscience 2024; 555:145-155. [PMID: 39059741 DOI: 10.1016/j.neuroscience.2024.07.027] [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: 05/04/2024] [Revised: 07/02/2024] [Accepted: 07/16/2024] [Indexed: 07/28/2024]
Abstract
Previous research has shown that patients with major depressive disorder (MDD) develop immune dysfunction. However, the exact alterations of cluster of differentiation (CD)4+ T helper (Th) lymphocytes in MDD remains unclear. This meta-analysis aimed to examine the specific changes in CD4+ Th cells. A comprehensive search of PubMed, EMBASE, Web of Science, and PsycINFO databases was conducted to identify studies investigating CD4+ Th, Th1, Th2, Th17, and T regulatory (Treg) cell counts in the peripheral blood of MDD patients and healthy controls (HCs), covering the period up to June 22, 2024. Our findings revealed that patients with MDD might exhibit higher CD4+ Th cells (SMD=0.26, 95 %CI, 0.02 to 0.50), CD4+/CD8+ cell ratios (SMD=0.51, 95 %CI, 0.14 to 0.89), Th1/Th2 cell ratios (SMD=0.15, 95 %CI, 0.01 to 0.30) and lower Th1 (SMD=-0.17, 95 %CI, -0.30 to -0.03), Th2 (SMD=-0.25, 95 %CI, -0.40 to -0.11), and Treg cells (SMD=-0.69, 95 %CI, -1.27 to -0.11). However, no significant difference was observed in terms of Th17 cells and Th17/Treg cell ratios between MDD patients and the HCs. Heterogeneity was large (I2:18.1-95.2 %), and possible sources of heterogeneity were explored (e.g., age, depression scale, country, and antidepressant use). Our findings indicate that peripheral CD4+ T cells in depressed patients exhibit features of adaptive immune dysfunction, as evidenced by increased CD4+ Th cells and CD4+/CD8+ and decreased Treg cells. These findings offer insights into the underlying mechanism of MDD.
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Affiliation(s)
- Fan Wang
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No.81 Meishan Road, Hefei, Anhui 230032, China
| | - Dongxue Zhu
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No.81 Meishan Road, Hefei, Anhui 230032, China
| | - Leilei Cao
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No.81 Meishan Road, Hefei, Anhui 230032, China
| | - Shaojie Wang
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No.81 Meishan Road, Hefei, Anhui 230032, China
| | - Yingying Tong
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No.81 Meishan Road, Hefei, Anhui 230032, China
| | - Faliang Xie
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No.81 Meishan Road, Hefei, Anhui 230032, China
| | - Xueying Zhang
- Center for Precision Environmental Health, Baylor College of Medicine, Houston, TX, USA; Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, TX, USA
| | - Puyu Su
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No.81 Meishan Road, Hefei, Anhui 230032, China; Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People's Republic of China, No 81 Meishan Road, Hefei, Anhui 230032, China; Anhui Provincial Key Laboratory of Population Health and Aristogenics, No 81 Meishan Road, Hefei, Anhui 230032, China.
| | - Gengfu Wang
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No.81 Meishan Road, Hefei, Anhui 230032, China; Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People's Republic of China, No 81 Meishan Road, Hefei, Anhui 230032, China; Anhui Provincial Key Laboratory of Population Health and Aristogenics, No 81 Meishan Road, Hefei, Anhui 230032, China.
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4
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Bernier V, Alsaleh G, Point C, Wacquier B, Lanquart JP, Loas G, Hein M. Low-Grade Inflammation Associated with Major Depression Subtypes: A Cross-Sectional Study. Brain Sci 2024; 14:850. [PMID: 39335346 PMCID: PMC11430340 DOI: 10.3390/brainsci14090850] [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: 07/23/2024] [Revised: 08/14/2024] [Accepted: 08/19/2024] [Indexed: 09/30/2024] Open
Abstract
Major depressive disorder (MDD) is associated with inflammation and a high level of comorbidities. Atypical depression (AD) is a MDD subtype based on DSM criteria, that could have specific underlying biological mechanisms. AD is associated with elevated cardiovascular (CVD) comorbidities, higher risk of suicide attempts, hypersomnia, and anxiety disorder. In this study, we aim to investigate if AD and polysomnographic parameters could be associated with low-grade inflammation (LGI). LGI is defined by a range from 3 to 10 mg/L of C-reactive protein levels. We carried out a retrospective cohort study in which 765 individuals with MDD were split into two groups: with and without LGI. Our results exhibit differences between the groups for the polysomnographic parameters, with the LGI group showing parameters already associated with inflammation such as reduced rapid eye movement sleep and elevated hypoxemia markers (identified as CVD risk factor). We found that AD is associated with LGI (OR 1.48; p = 0.047) after adjustment. Likewise, we found an LGI prevalence in AD higher (34.8%) than in MDD without atypical features (26.8%). Overall, these results confirm the low-grade inflammation feature of AD and highlight polysomnographic parameters associated with LGI that could also act as risk factors in this context.
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Affiliation(s)
- Veronique Bernier
- Department of Psychiatry and Sleep Laboratory, Erasme Hospital, Université Libre de Bruxelles—ULB, 1070 Brussels, Belgium
| | - Ghada Alsaleh
- Botnar Research Centre, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), University of Oxford, Oxford OX3 7LD, UK
| | - Camille Point
- Department of Psychiatry and Sleep Laboratory, Erasme Hospital, Université Libre de Bruxelles—ULB, 1070 Brussels, Belgium
| | - Benjamin Wacquier
- Department of Psychiatry and Sleep Laboratory, Erasme Hospital, Université Libre de Bruxelles—ULB, 1070 Brussels, Belgium
| | - Jean-Pol Lanquart
- Department of Psychiatry and Sleep Laboratory, Erasme Hospital, Université Libre de Bruxelles—ULB, 1070 Brussels, Belgium
| | - Gwenolé Loas
- Department of Psychiatry and Sleep Laboratory, Erasme Hospital, Université Libre de Bruxelles—ULB, 1070 Brussels, Belgium
| | - Matthieu Hein
- Department of Psychiatry and Sleep Laboratory, Erasme Hospital, Université Libre de Bruxelles—ULB, 1070 Brussels, Belgium
- Laboratoire de Psychologie Médicale et Addictologie (ULB312), Université Libre de Bruxelles—ULB, 1020 Brussels, Belgium
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5
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Colombo F, Calesella F, Bravi B, Fortaner-Uyà L, Monopoli C, Tassi E, Carminati M, Zanardi R, Bollettini I, Poletti S, Lorenzi C, Spadini S, Brambilla P, Serretti A, Maggioni E, Fabbri C, Benedetti F, Vai B. Multimodal brain-derived subtypes of Major depressive disorder differentiate patients for anergic symptoms, immune-inflammatory markers, history of childhood trauma and treatment-resistance. Eur Neuropsychopharmacol 2024; 85:45-57. [PMID: 38936143 DOI: 10.1016/j.euroneuro.2024.05.015] [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: 11/21/2023] [Revised: 05/20/2024] [Accepted: 05/27/2024] [Indexed: 06/29/2024]
Abstract
An estimated 30 % of Major Depressive Disorder (MDD) patients exhibit resistance to conventional antidepressant treatments. Identifying reliable biomarkers of treatment-resistant depression (TRD) represents a major goal of precision psychiatry, which is hampered by the clinical and biological heterogeneity. To uncover biologically-driven subtypes of MDD, we applied an unsupervised data-driven framework to stratify 102 MDD patients on their neuroimaging signature, including extracted measures of cortical thickness, grey matter volumes, and white matter fractional anisotropy. Our novel analytical pipeline integrated different machine learning algorithms to harmonize data, perform data dimensionality reduction, and provide a stability-based relative clustering validation. The obtained clusters were characterized for immune-inflammatory peripheral biomarkers, TRD, history of childhood trauma and depressive symptoms. Our results indicated two different clusters of patients, differentiable with 67 % of accuracy: one cluster (n = 59) was associated with a higher proportion of TRD, and higher scores of energy-related depressive symptoms, history of childhood abuse and emotional neglect; this cluster showed a widespread reduction in cortical thickness (d = 0.43-1.80) and volumes (d = 0.45-1.05), along with fractional anisotropy in the fronto-occipital fasciculus, stria terminalis, and corpus callosum (d = 0.46-0.52); the second cluster (n = 43) was associated with cognitive and affective depressive symptoms, thicker cortices and wider volumes. Multivariate analyses revealed distinct brain-inflammation relationships between the two clusters, with increase in pro-inflammatory markers being associated with decreased cortical thickness and volumes. Our stratification of MDD patients based on structural neuroimaging identified clinically-relevant subgroups of MDD with specific symptomatic and immune-inflammatory profiles, which can contribute to the development of tailored personalized interventions for MDD.
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Affiliation(s)
- Federica Colombo
- University Vita-Salute San Raffaele, Milano, Italy; Psychiatry and Clinical Psychobiology Unit, Division of Neuroscience, IRCCS San Raffaele Hospital, Milano, Italy.
| | - Federico Calesella
- Psychiatry and Clinical Psychobiology Unit, Division of Neuroscience, IRCCS San Raffaele Hospital, Milano, Italy
| | - Beatrice Bravi
- University Vita-Salute San Raffaele, Milano, Italy; Psychiatry and Clinical Psychobiology Unit, Division of Neuroscience, IRCCS San Raffaele Hospital, Milano, Italy
| | - Lidia Fortaner-Uyà
- University Vita-Salute San Raffaele, Milano, Italy; Psychiatry and Clinical Psychobiology Unit, Division of Neuroscience, IRCCS San Raffaele Hospital, Milano, Italy
| | - Camilla Monopoli
- Psychiatry and Clinical Psychobiology Unit, Division of Neuroscience, IRCCS San Raffaele Hospital, Milano, Italy
| | - Emma Tassi
- Department of Neurosciences and Mental Health, IRCCS Fondazione Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy; Politecnico di Milano, Department of Electronics, Information and Bioengineering, Milan, Italy
| | | | - Raffaella Zanardi
- University Vita-Salute San Raffaele, Milano, Italy; Mood Disorders Unit, Scientific Institute IRCCS San Raffaele Hospital, Milan, Italy
| | - Irene Bollettini
- Psychiatry and Clinical Psychobiology Unit, Division of Neuroscience, IRCCS San Raffaele Hospital, Milano, Italy
| | - Sara Poletti
- University Vita-Salute San Raffaele, Milano, Italy; Psychiatry and Clinical Psychobiology Unit, Division of Neuroscience, IRCCS San Raffaele Hospital, Milano, Italy
| | - Cristina Lorenzi
- Psychiatry and Clinical Psychobiology Unit, Division of Neuroscience, IRCCS San Raffaele Hospital, Milano, Italy
| | - Sara Spadini
- Psychiatry and Clinical Psychobiology Unit, Division of Neuroscience, IRCCS San Raffaele Hospital, Milano, Italy
| | - Paolo Brambilla
- Department of Neurosciences and Mental Health, IRCCS Fondazione Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | | | - Eleonora Maggioni
- Politecnico di Milano, Department of Electronics, Information and Bioengineering, Milan, Italy
| | - Chiara Fabbri
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Francesco Benedetti
- University Vita-Salute San Raffaele, Milano, Italy; Psychiatry and Clinical Psychobiology Unit, Division of Neuroscience, IRCCS San Raffaele Hospital, Milano, Italy
| | - Benedetta Vai
- University Vita-Salute San Raffaele, Milano, Italy; Psychiatry and Clinical Psychobiology Unit, Division of Neuroscience, IRCCS San Raffaele Hospital, Milano, Italy
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6
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Robles TF, Rünger D, Sumner JA, Elashoff D, Shetty V. Salivary inflammatory biomarkers as a predictor of post-traumatic stress disorder and depressive symptom severity in trauma patients: A prospective study. Brain Behav Immun 2024; 119:792-800. [PMID: 38714269 DOI: 10.1016/j.bbi.2024.05.011] [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: 10/13/2023] [Revised: 04/24/2024] [Accepted: 05/04/2024] [Indexed: 05/09/2024] Open
Abstract
BACKGROUND Although post-traumatic stress disorder (PTSD) and depression screening are recommended for traumatic injury patients, routine screening is still uncommon. Salivary inflammatory biomarkers have biological plausibility and potential feasibility and acceptability for screening. This study tested prospective associations between several salivary inflammatory biomarkers (proinflammatory cytokines interleukin-1β, interleukin-6, tumor necrosis factor-α; and C-reactive protein), collected during hospitalization and PTSD and depressive symptoms at 5-month follow-up. METHODS Adult traumatic injury patients (N = 696) at a major urban Level 1 trauma center provided salivary samples and completed PTSD and depressive symptom measures during days 0-13 of inpatient hospitalization. At 5-month follow-up, 368 patients (77 % male, 23 % female) completed the Clinician-Administered PTSD Scale for DSM-IV and the Self-rated Inventory of Depressive Symptomatology. Analyses focused on a latent inflammatory cytokine factor and C-reactive protein at baseline predicting 5-month PTSD and depression symptom outcomes and included baseline symptom levels as covariates. RESULTS A latent factor representing proinflammatory cytokines was not related to 5-month PTSD or depressive symptom severity. Higher salivary CRP was related to greater PTSD symptom severity (β = .10, p = .03) at 5-month follow-up and more severity in the following depressive symptoms: changes in weight and appetite, bodily complaints, and constipation/diarrhea (β's from .14 to .16, p's from .004 -.03). CONCLUSION In a primarily Latine and Black trauma patient sample, salivary CRP measured after traumatic injury was related to greater PTSD symptom severity and severity in several depressive symptom clusters. Our preliminary findings suggest that salivary or systemic CRP may be useful to include in models predicting post-trauma psychopathology.
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Affiliation(s)
- Theodore F Robles
- Department of Psychology, University of California, Los Angeles, United States.
| | - Dennis Rünger
- Department of Medicine Statistics Core, David Geffen School of Medicine at University of California, Los Angeles, United States
| | - Jennifer A Sumner
- Department of Psychology, University of California, Los Angeles, United States
| | - David Elashoff
- Department of Medicine Statistics Core, David Geffen School of Medicine at University of California, Los Angeles, United States
| | - Vivek Shetty
- School of Dentistry, University of California, Los Angeles, United States
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Kang L, Wang W, Nie Z, Gong Q, Yao L, Xiang D, Zhang N, Tu N, Feng H, Zong X, Bai H, Wang G, Wang F, Bu L, Liu Z. Dysregulated cerebral blood flow, rather than gray matter Volume, exhibits stronger correlations with blood inflammatory and lipid markers in depression. Neuroimage Clin 2024; 41:103581. [PMID: 38430800 PMCID: PMC10944186 DOI: 10.1016/j.nicl.2024.103581] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Revised: 02/08/2024] [Accepted: 02/25/2024] [Indexed: 03/05/2024]
Abstract
Arterial spin labeling (ASL) can be used to detect differences in perfusion for multiple brain regions thought to be important in major depressive disorder (MDD). However, the potential of cerebral blood flow (CBF) to predict MDD and its correlations between the blood lipid levels and immune markers, which are closely related to MDD and brain function change, remain unclear. The 451 individuals - 298 with MDD and 133 healthy controls who underwent MRI at a single time point with arterial spin labelling and a high resolution T1-weighted structural scan. A proportion of MDD also provided blood samples for analysis of lipid and immune markers. We performed CBF case-control comparisons, random forest model construction, and exploratory correlation analyses. Moreover, we investigated the relationship between gray matter volume (GMV), blood lipids, and the immune system within the same sample to assess the differences in CBF and GMV. We found that the left inferior parietal but supramarginal and angular gyrus were significantly different between the MDD patients and HCs (voxel-wise P < 0.001, cluster-wise FWE correction). And bilateral inferior temporal (ITG), right middle temporal gyrus and left precentral gyrus CBF predict MDD (the area under the receiver operating characteristic curve of the random forest model is 0.717) and that CBF is a more sensitive predictor of MDD than GMV. The left ITG showed a positive correlation trend with immunoglobulin G (r = 0.260) and CD4 counts (r = 0.283). The right ITG showed a correlation trend with Total Cholesterol (r = -0.249) and tumour necrosis factor-alpha (r = -0.295). Immunity and lipids were closely related to CBF change, with the immunity relationship potentially playing a greater role. The interactions between CBF, plasma lipids and immune index could therefore represent an MDD pathophysiological mechanism. The current findings provide evidence for targeted regulation of CBF or immune properties in MDD.
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Affiliation(s)
- Lijun Kang
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China
| | - Wei Wang
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China
| | - Zhaowen Nie
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China
| | - Qian Gong
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China
| | - Lihua Yao
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China
| | - Dan Xiang
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China
| | - Nan Zhang
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China
| | - Ning Tu
- PET/CT/MRI and Molecular Imaging Center, Renmin Hospital of Wuhan University, Wuhan, China
| | - Hongyan Feng
- PET/CT/MRI and Molecular Imaging Center, Renmin Hospital of Wuhan University, Wuhan, China
| | - Xiaofen Zong
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China
| | - Hanping Bai
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China
| | - Gaohua Wang
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China
| | - Fei Wang
- Early Intervention Unit, Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China; Functional Brain Imaging Institute of Nanjing Medical University, Nanjing, China
| | - Lihong Bu
- PET/CT/MRI and Molecular Imaging Center, Renmin Hospital of Wuhan University, Wuhan, China.
| | - Zhongchun Liu
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China; Taikang Center for Life and Medical Sciences, Wuhan University, Wuhan, China.
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8
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Qian X, Zhong ZD, Zhang Y, Qiu LQ, Tan HJ. Fluoxetine mitigates depressive-like behaviors in mice via anti-inflammation and enhancing neuroplasticity. Brain Res 2024; 1825:148723. [PMID: 38101693 DOI: 10.1016/j.brainres.2023.148723] [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: 10/09/2023] [Revised: 11/22/2023] [Accepted: 12/12/2023] [Indexed: 12/17/2023]
Abstract
Neuroplasticity and inflammation represent a common final pathway for effective antidepressant treatment. SSRIs are the most commonly prescribed medications for depression and have demonstrated efficacy in reducing depressive symptoms. However, the precise impact of SSRIs on neuroplasticity and inflammation remains unclear. In this study, we aimed to investigate the influence of long-term treatment with SSRIs on hippocampal neuron, inflammation, synaptic function and morphology. Our findings revealed that fluoxetine treatment significantly alleviated behavioral despair, anhedonia, and anxiety in reserpine-treated mice. Moreover, fluoxetine mitigated hippocampal neuron impairment, inhibited inflammatory release, and increased the expression of synaptic proteins markers (SYP and PSD95) in mice. Notably, fluoxetine also suppressed reserpine-induced synapse loss in the hippocampus. Based on these results, fluoxetine has been demonstrated effectively to ameliorate depressive mood and cognitive dysfunction, possibly through the enhancement of synaptic plasticity. Overall, our study contributes to a further understanding of the mechanisms underlying the therapeutic effects of fluoxetine and its potential role in improving depressive symptoms and cognitive impairments.
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Affiliation(s)
- Xu Qian
- School of Chemistry, Guangdong Key Lab of Chiral Molecules and Drug Discovery, Sun Yat-Sen University, Guangzhou 510275, China.
| | - Zuo-Dong Zhong
- School of Pharmacy, Guangzhou Medical University, Guangzhou 510275, China
| | - Yao Zhang
- Department of Respiratory and Critical Medicine, General Hospital of Eastern Theater Command, Nanjing 210016, China
| | - Li-Qin Qiu
- School of Chemistry, Guangdong Key Lab of Chiral Molecules and Drug Discovery, Sun Yat-Sen University, Guangzhou 510275, China
| | - Hui-Jun Tan
- School of Chemistry, Guangdong Key Lab of Chiral Molecules and Drug Discovery, Sun Yat-Sen University, Guangzhou 510275, China.
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Moilanen P, Liukkonen T, Jokelainen J, Keinänen-Kiukaanniemi S, Puukka K, Timonen M, Auvinen J, Eskola P. Cross-sectional analysis of depressive symptom profiles and serum C-reactive protein levels: data from the Northern Finland 1966 birth cohort. Nord J Psychiatry 2024; 78:95-102. [PMID: 37905346 DOI: 10.1080/08039488.2023.2274341] [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: 05/23/2023] [Accepted: 10/15/2023] [Indexed: 11/02/2023]
Abstract
PURPOSE Individuals with depression exhibit significantly higher levels of systemic inflammation than those without depression, particularly among those with atypical depression. However, this association has been less convincing at the population level among individuals without a formal depression diagnosis but with suggestive symptoms. Our aim was to clarify this association. MATERIALS AND METHODS In a large birth cohort sample of the Finnish general population, we examined the cross-sectional association between high-sensitivity C-reactive protein (hsCRP) levels in venous blood samples and atypical/non-atypical depressive symptoms using the Beck Depression Inventory-II to screen 5443 middle-aged participants. RESULTS As expected, depressive symptoms associated to elevated hsCRP-levels compared to non-depressed. Participants with the atypical subtype of depressive symptoms (n = 84) had an odds ratio (OR) of 2.59 (95% CI 1.40-4.81) for elevated hsCRP levels compared to the non-depressed group. Similarly, our findings indicate that participants with non-atypical symptoms (n = 440) also showed an OR of 1.42 (95% CI 1.05-1.92) when compared to the non-depressed group (n = 4919). CONCLUSIONS These results provide additional support for previous research linking depression and inflammation and add to the field with a unique and sizeable study population. Furthermore, the current results support the notion that different types of depressive symptoms may be associated with inflammatory markers in slightly different ways.
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Affiliation(s)
- Pauli Moilanen
- Research Unit of Population Health, University of Oulu, Oulu, Finland
| | - Timo Liukkonen
- Research Unit of Population Health, University of Oulu, Oulu, Finland
- Department of Psychiatry, Savonlinna Central Hospital, Savonlinna, Finland
| | - Jari Jokelainen
- Research Unit of Population Health, University of Oulu, Oulu, Finland
- Unit of Primary Care, Oulu University Hospital, Oulu, Finland
| | - Sirkka Keinänen-Kiukaanniemi
- Research Unit of Population Health, University of Oulu, Oulu, Finland
- Unit of Primary Care, Oulu University Hospital, Oulu, Finland
- The Wellbeing Services County of North Ostrobothnia (Pohde), Oulu, Finland
| | - Katri Puukka
- NordLab Oulu, Medical Research Center Oulu, Oulu University Hospital and Department of Clinical Chemistry, University of Oulu, Oulu, Finland
| | - Markku Timonen
- Research Unit of Population Health, University of Oulu, Oulu, Finland
- Unit of Primary Care, Oulu University Hospital, Oulu, Finland
- The Wellbeing Services County of North Ostrobothnia (Pohde), Oulu, Finland
| | - Juha Auvinen
- Research Unit of Population Health, University of Oulu, Oulu, Finland
- The Wellbeing Services County of North Ostrobothnia (Pohde), Oulu, Finland
- Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland
| | - Pasi Eskola
- Research Unit of Population Health, University of Oulu, Oulu, Finland
- The Wellbeing Services County of North Ostrobothnia (Pohde), Oulu, Finland
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10
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Nasab MG, Heidari A, Sedighi M, Shakerian N, Mirbeyk M, Saghazadeh A, Rezaei N. Dietary inflammatory index and neuropsychiatric disorders. Rev Neurosci 2024; 35:21-33. [PMID: 37459114 DOI: 10.1515/revneuro-2023-0047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Accepted: 06/24/2023] [Indexed: 01/10/2024]
Abstract
Neuropsychiatric disorders (NPDs) are considered a potential threat to mental health. Inflammation predominantly plays a role in the pathophysiology of NPDs. Dietary patterns are widely postulated to be involved in the physiological response to inflammation. This review aims to discuss the literature on how dietary inflammatory index (DII) is related to inflammation and, consequently, NPDs. After comprehensive scrutiny in different databases, the articles that investigated the relation of DII score and various NPDs and psychological circumstances were included. The association between dietary patterns and mental disorders comprising depression, anxiety, and stress proved the role of a proinflammatory diet in these conditions' exacerbation. Aging is another condition closely associated with DII. The impact of proinflammatory and anti-inflammatory diet on sleep quality indicated related disorders like sleep latency and day dysfunctions among the different populations are in relation with the high DII score. The potential effects of genetic backgrounds, dietary patterns, and the gut microbiome on DII are discussed as well. To plan preventive or therapeutic interventions considering the DII, these factors, especially genetic variations, should be considered as there is a growing body of literature indicating the role of personalized medicine in different NPDs. To the best of our knowledge, there is a limited number of RCTs on this subject, so future research should evaluate the causality via RCTs and look for therapeutic interventions with an eye on personalized medicine using information about DII in NPDs.
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Affiliation(s)
- Mahsa Golshani Nasab
- Faculty of Veterinary Medicine, University of Tabriz, Tabriz, Iran
- Systematic Review and Meta-Analysis Expert Group (SRMEG), Universal Scientific Education and Research Network (USERN), Tabriz, Iran
| | - Arash Heidari
- Research Center for Immunodeficiencies, Children's Medical Center, Tehran University of Medical Sciences, Tehran, Iran
- Systematic Review and Meta-Analysis Expert Group (SRMEG), Universal Scientific Education and Research Network (USERN), Tehran, Iran
| | - Mohammadreza Sedighi
- Systematic Review and Meta-Analysis Expert Group (SRMEG), Universal Scientific Education and Research Network (USERN), Tehran, Iran
- School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Narges Shakerian
- Student Research Committee, School of Rehabilitation, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
- Musculoskeletal Rehabilitation Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
- Systematic Review and Meta-Analysis Expert Group (SRMEG), Universal Scientific Education and Research Network (USERN), Ahvaz, Iran
| | - Mona Mirbeyk
- Research Center for Immunodeficiencies, Children's Medical Center, Tehran University of Medical Sciences, Tehran, Iran
- Systematic Review and Meta-Analysis Expert Group (SRMEG), Universal Scientific Education and Research Network (USERN), Tehran, Iran
| | - Amene Saghazadeh
- Research Center for Immunodeficiencies, Children's Medical Center, Tehran University of Medical Sciences, Tehran, Iran
- Meta Cognition Interest Group (MCIG), Universal Scientific Education and Research Network (USERN), Tehran, Iran
| | - Nima Rezaei
- Research Center for Immunodeficiencies, Children's Medical Center, Tehran University of Medical Sciences, Tehran, Iran
- Department of Immunology, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
- Network of Immunity in Infection, Malignancy and Autoimmunity, Universal Scientific Education and Research Network (USERN), Tehran, Iran
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11
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Baek JH, Han K, Kim H, Yang K, Jeon HJ. Increased metabolic variability in Korean patients with new onset bipolar disorder: a nationwide cohort study. Front Psychiatry 2024; 14:1256458. [PMID: 38260805 PMCID: PMC10800849 DOI: 10.3389/fpsyt.2023.1256458] [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: 07/10/2023] [Accepted: 12/15/2023] [Indexed: 01/24/2024] Open
Abstract
Introduction The aim of this study was to determine associations between changes of metabolic parameters and the development of BD using nationally representative data. Methods We used health examination data provided by the South Korean National Health Insurance System (NHIS) (n = 8,326,953). The variability of each metabolic parameter including weight circumference, blood pressure, fasting blood glucose, high-density lipoprotein cholesterol, and triglyceride levels was caculated using variability independent of mean (VIM) indices. The presence of metabolic syndrome was associated with new onset BD. Each metabolic parameter with high variability was associated with a higher risk of new onset BD compared to those with low variability after adjusting for age, sex, smoking, alcohol drinking, regular exercise, income status, baseline diabetes, hypertension, and dyslipidemia. Results As the number of highly variable metabolic parameters increased, the risk for new onset depression also increased even after covariates adjustment. The associations between new onset BD and metabolic variability were greater in populations with age > 50 years. In addition, these associations remained significant after adjusting for the presence of depression prior to diagnoses of BD. Discussion Our results suggest possibility of metabolic variability as an independent environmental risk factor for BD even after adjusting for the presence of metabolic syndrome.
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Affiliation(s)
- Ji Hyun Baek
- Department of Psychiatry, Depression Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
- Dauten Family Center for Bipolar Treatment Innovation, Massachusetts General Hospital, Boston, MA, United States
| | - Kyungdo Han
- Department of Statistics and Actuarial Science, Soongsil University, Seoul, Republic of Korea
| | - Hyewon Kim
- Department of Psychiatry, Depression Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Kyojin Yang
- Department of Psychiatry, Depression Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Hong Jin Jeon
- Department of Psychiatry, Depression Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
- Department of Health Sciences & Technology, Department of Medical Device Management & Research, and Department of Clinical Research Design & Evaluation, Samsung Advanced Institute for Health Sciences & Technology (SAIHST), Sungkyunkwan University, Seoul, Republic of Korea
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12
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Blundell E, De Stavola BL, Kellock MD, Kelly Y, Lewis G, McMunn A, Nicholls D, Patalay P, Solmi F. Longitudinal pathways between childhood BMI, body dissatisfaction, and adolescent depression: an observational study using the UK Millenium Cohort Study. Lancet Psychiatry 2024; 11:47-55. [PMID: 38101872 PMCID: PMC11139652 DOI: 10.1016/s2215-0366(23)00365-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Revised: 09/27/2023] [Accepted: 10/19/2023] [Indexed: 12/17/2023]
Abstract
BACKGROUND Globally, more adolescents are having depressive symptoms than in the past. High BMI is a risk factor for depressive symptoms, potentially acting via increased body dissatisfaction. Robust longitudinal evidence of these associations could help to inform preventive interventions, but such evidence remains scarce. We investigated the longitudinal associations between BMI at age 7 years and depressive symptoms at age 14 years (objective 1), BMI at age 7 years and body dissatisfaction at age 11 years (objective 2), and body dissatisfaction at age 11 years and depression at age 14 years (objective 3). We also investigated the extent to which body dissatisfaction mediated the association between BMI and depressive symptoms (objective 4). METHODS This study used data from the Millennium Cohort Study, a representative longitudinal general population cohort of UK children born between Sept 1, 2000, and Jan 11, 2002. We used univariable and multivariable linear regression models to investigate the associations in objectives 1-3 adjusting for a range of child-level and family-level confounders. For mediation analyses we used non-parametric g-formula (objective 4). We reported stratified results in presence of sex differences. All analyses were based on participants with complete BMI data and imputed confounders and outcomes. FINDINGS Our sample included 13 135 participants. Of these, 6624 (50·4%) were male participants and 6511 (49·6%) were female participants; 11 096 (84·4%) were of White ethnicity and 2039 (15·6%) were from a minority ethnic background. At baseline, mean age was 7·2 years (SD 0·25, range 6·3-8·3). In multivariable models, an SD increase in BMI at age 7 years was associated with greater depressive symptoms at age 14 years (estimated regression coefficient [coeff]: 0·30, 95% CI 0·17-0·43) and greater body dissatisfaction at age 11 years (coeff 0·15, 0·12-0·18). Greater body dissatisfaction at age 11 years was associated with higher depressive symptoms at age 14 years (coeff 0·60, 0·52-0·68). All these associations were twice as large in girls as in boys. Body dissatisfaction explained 43% of the association between BMI and depression in girls. INTERPRETATION Our findings bear relevance for interventions aimed at reducing weight in childhood and reducing body dissatisfaction. Implementation of evidence-based body image interventions and identification of drivers of weight stigma should be key public health priorities. Interventions aiming to reduce weight in childhood need to avoid increasing body dissatisfaction and should target environmental drivers of weight rather than individuals. FUNDING Wellcome Trust; The Royal Society; Economic and Social Research Council; and the National Institute for Health and Care Research.
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Affiliation(s)
- Emma Blundell
- Department of Clinical, Educational and Health Psychology, University College London, London, UK
| | | | | | - Yvonne Kelly
- Institute of Epidemiology & Health, University College London, London, UK
| | - Gemma Lewis
- Division of Psychiatry, University College London, London, UK
| | - Anne McMunn
- Institute of Epidemiology & Health, University College London, London, UK
| | - Dasha Nicholls
- Division of Psychiatry, Imperial College London, London, UK
| | - Praveetha Patalay
- Centre for Longitudinal Studies and MRC Unit for Lifelong Health & Ageing, University College London, London, UK
| | - Francesca Solmi
- Division of Psychiatry, University College London, London, UK.
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13
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Lee C, Whooley MA. Networks of C-reactive protein and depression symptoms in patients with stable coronary heart disease: Findings from the Heart and Soul Study. Int J Methods Psychiatr Res 2023; 32:e1968. [PMID: 37035901 DOI: 10.1002/mpr.1968] [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: 01/15/2023] [Revised: 03/07/2023] [Accepted: 03/10/2023] [Indexed: 04/11/2023] Open
Abstract
OBJECTIVE Research addressing the associations between C-reactive protein (CRP) and depression among patients with stable coronary heart disease (CHD) has produced inconsistent results. This might be attributable to varying associations of CRP with specific depression symptom profiles. We responded to this challenge using various network analysis techniques. METHODS A total of 967 outpatients with documented CHD were drawn from the baseline cross-sectional data of the Heart and Soul Study. We first estimated mixed graphical models that included CRP and individual depression symptoms, before and after adjusting for relevant covariates, to explore whether CRP is correlated with specific facets of depression. We also investigated whether CRP levels moderated the associations between specific depression symptoms using moderated network models. Finally, we performed a network comparison test and compared the symptom network properties between non-elevated and elevated CRP groups. RESULTS In the network model without covariates, CRP was positively associated with fatigue, appetite changes, and psychomotor problems. CRP maintained its negative association with concentration difficulty regardless of covariate adjustment. Few symptom-symptom associations, especially those involving appetite changes, were moderated by CRP. Further, the elevated CRP group showed greater overall symptom connectivity as compared to the non-elevated group. CONCLUSION This study segues into CRP-depression relationship with sophisticated methodology.
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Affiliation(s)
- Chiyoung Lee
- School of Nursing & Health Studies, University of Washington Bothell, Bothell, Washington, USA
- Center for Studies in Demography and Ecology, University of Washington, Seattle, Washington, USA
| | - Mary A Whooley
- Department of Medicine, University of California San Francisco, San Francisco, California, USA
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14
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Hu Y, Liu Y, Zheng H, Liu L. Risk Factors for Long COVID in Older Adults. Biomedicines 2023; 11:3002. [PMID: 38002002 PMCID: PMC10669899 DOI: 10.3390/biomedicines11113002] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Revised: 11/05/2023] [Accepted: 11/07/2023] [Indexed: 11/26/2023] Open
Abstract
As time has passed following the COVID-19 pandemic, individuals infected with SARS-CoV-2 have gradually exhibited a variety of symptoms associated with long COVID in the postacute phase of infection. Simultaneously, in many countries worldwide, the process of population aging has been accelerating. Within this context, the elderly population has not only become susceptible and high-risk during the acute phase of COVID-19 but also has considerable risks when confronting long COVID. Elderly individuals possess specific immunological backgrounds, and during the process of aging, their immune systems can enter a state known as "immunosenescence". This further exacerbates "inflammaging" and the development of various comorbidities in elderly individuals, rendering them more susceptible to long COVID. Additionally, long COVID can inflict both physical and mental harm upon elderly people, thereby reducing their overall quality of life. Consequently, the impact of long COVID on elderly people should not be underestimated. This review seeks to summarize the infection characteristics and intrinsic factors of older adults during the COVID-19 pandemic, with a focus on the physical and mental impact of long COVID. Additionally, it aims to explore potential strategies to mitigate the risk of long COVID or other emerging infectious diseases among older adults in the future.
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Affiliation(s)
| | | | | | - Longding Liu
- Key Laboratory of Systemic Innovative Research on Virus Vaccines, Institute of Medical Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Kunming 650118, China; (Y.H.); (Y.L.); (H.Z.)
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15
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Rydin AO, Milaneschi Y, Quax R, Li J, Bosch JA, Schoevers RA, Giltay EJ, Penninx BWJH, Lamers F. A network analysis of depressive symptoms and metabolomics. Psychol Med 2023; 53:7385-7394. [PMID: 37092859 PMCID: PMC10719687 DOI: 10.1017/s0033291723001009] [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: 09/12/2022] [Revised: 03/03/2023] [Accepted: 03/27/2023] [Indexed: 04/25/2023]
Abstract
BACKGROUND Depression is associated with metabolic alterations including lipid dysregulation, whereby associations may vary across individual symptoms. Evaluating these associations using a network perspective yields a more complete insight than single outcome-single predictor models. METHODS We used data from the Netherlands Study of Depression and Anxiety (N = 2498) and leveraged networks capturing associations between 30 depressive symptoms (Inventory of Depressive Symptomatology) and 46 metabolites. Analyses involved 4 steps: creating a network with Mixed Graphical Models; calculating centrality measures; bootstrapping for stability testing; validating central, stable associations by extra covariate-adjustment; and validation using another data wave collected 6 years later. RESULTS The network yielded 28 symptom-metabolite associations. There were 15 highly-central variables (8 symptoms, 7 metabolites), and 3 stable links involving the symptoms Low energy (fatigue), and Hypersomnia. Specifically, fatigue showed consistent associations with higher mean diameter for VLDL particles and lower estimated degree of (fatty acid) unsaturation. These remained present after adjustment for lifestyle and health-related factors and using another data wave. CONCLUSIONS The somatic symptoms Fatigue and Hypersomnia and cholesterol and fatty acid measures showed central, stable, and consistent relationships in our network. The present analyses showed how metabolic alterations are more consistently linked to specific symptom profiles.
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Affiliation(s)
- Arja O. Rydin
- Department of Psychiatry, Amsterdam UMC location Vrije Universiteit Amsterdam, Boelelaan 1117, Amsterdam, The Netherlands
- Amsterdam Public Health, Mental Health Program, Amsterdam, The Netherlands
| | - Yuri Milaneschi
- Department of Psychiatry, Amsterdam UMC location Vrije Universiteit Amsterdam, Boelelaan 1117, Amsterdam, The Netherlands
- Amsterdam Public Health, Mental Health Program, Amsterdam, The Netherlands
| | - Rick Quax
- Computational Science Lab, Faculty of Science, Informatics Institute, University of Amsterdam, Amsterdam, The Netherlands
| | - Jie Li
- Computational Science Lab, Faculty of Science, Informatics Institute, University of Amsterdam, Amsterdam, The Netherlands
| | - Jos A. Bosch
- Clinical Psychology, Faculty of Social and Behavioural Sciences, University of Amsterdam, Amsterdam, The Netherlands
| | - Robert A. Schoevers
- Department of Psychiatry, Faculty of Medical Sciences, University Medical Centre Groningen, University of Groningen, Groningen, The Netherlands
| | - Erik J. Giltay
- Department of Psychiatry, Leiden University Medical Centre, Leiden University, Leiden, The Netherlands
| | - Brenda W. J. H. Penninx
- Department of Psychiatry, Amsterdam UMC location Vrije Universiteit Amsterdam, Boelelaan 1117, Amsterdam, The Netherlands
- Amsterdam Public Health, Mental Health Program, Amsterdam, The Netherlands
- Department of Psychiatry and Neuroscience Campus Amsterdam, Amsterdam UMC, Vrije Universiteit, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - Femke Lamers
- Department of Psychiatry, Amsterdam UMC location Vrije Universiteit Amsterdam, Boelelaan 1117, Amsterdam, The Netherlands
- Amsterdam Public Health, Mental Health Program, Amsterdam, The Netherlands
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16
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Bao M, Chao J, Zhang N, Wu Y, Wang L. The association between the Short Physical Performance Battery and longitudinal trajectories of depressive symptoms among Chinese older adults. Psychogeriatrics 2023; 23:1027-1035. [PMID: 37717947 DOI: 10.1111/psyg.13023] [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: 06/29/2023] [Revised: 08/25/2023] [Accepted: 08/30/2023] [Indexed: 09/19/2023]
Abstract
BACKGROUND In this study, the long-term trajectories of depressive symptoms in a 7-year prospective survey cohort of Chinese older adults were explored. Additionally, the study examined whether there was an independent association between scores on the Short Physical Performance Battery (SPPB) and the different trajectories of depressive symptoms. METHODS A total of 2177 elderly individuals had their depressive symptoms assessed based on the Center for Epidemiological Studies-Depression (CES-D) scale in the years 2011, 2013, 2015, and 2018. In addition, their demographic characteristics, chronic diseases, and lifestyle factors were also assessed. The trajectories of depressive symptoms were analysed using the group-based trajectories analysis model. Furthermore, the relationship between the objectively measured SPPB scores and the long-term trajectory of depressive symptoms was explored using multinomial logistic regression. RESULTS The group-based trajectory analysis model categorized the trajectories of depressive symptoms across four waves into four groups: persistent low depressive symptoms, increasing depressive symptoms, decreased depressive symptoms, and persistent high depressive symptoms. After controlling for confounding factors, it was observed that a higher baseline SPPB score was associated with an increased likelihood of persistent high depressive symptoms, OR (95% CI) = 0.724 (0.644, 0.814), for the persistent high depressive symptoms versus the persistent low depressive symptoms. CONCLUSIONS Low levels of SPPB score are associated with persistent high depressive symptoms in older adults. Conversely, improving physical performance as measured by the SPPB can help reduce the risk of major depressive disorder and persistent depressive disorder in the elderly.
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Affiliation(s)
- Min Bao
- Health Management Research Center, School of Public Health, Southeast University, Nanjing, China
| | - Jianqian Chao
- Health Management Research Center, School of Public Health, Southeast University, Nanjing, China
| | - Na Zhang
- Health Management Research Center, School of Public Health, Southeast University, Nanjing, China
| | - Yanqian Wu
- Health Management Research Center, School of Public Health, Southeast University, Nanjing, China
| | - Leixia Wang
- Health Management Research Center, School of Public Health, Southeast University, Nanjing, China
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17
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Steptoe A, Frank P. Obesity and psychological distress. Philos Trans R Soc Lond B Biol Sci 2023; 378:20220225. [PMID: 37661745 PMCID: PMC10475872 DOI: 10.1098/rstb.2022.0225] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Accepted: 06/16/2023] [Indexed: 09/05/2023] Open
Abstract
The relationship between high body weight and mental health has been studied for several decades. Improvements in the quality of epidemiological, mechanistic and psychological research have brought greater consistency to our understanding of the links. Large-scale population-based epidemiological research has established that high body weight is associated with poorer mental health, particularly depression and subclinical depressive symptoms. There is some evidence for bidirectional relationships, but the most convincing findings are that greater body weight leads to psychological distress rather than the reverse. Particular symptoms of depression and distress may be specifically related to greater body weight. The psychological stress induced by weight stigma and discrimination contributes to psychological distress, and may in turn handicap efforts at weight control. Heightened systemic inflammation and dysregulation of the hypothalamic-pituitary-adrenal axis are biological mechanisms that mediate in part the relationship of greater body weight with poorer mental health. Changing negative societal attitudes to high body weights would improve the wellbeing of people living with obesity, and promote more effective weight-inclusive attitudes and behaviours in society at large, particularly in healthcare settings. This article is part of a discussion meeting issue 'Causes of obesity: theories, conjectures and evidence (Part II)'.
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Affiliation(s)
- Andrew Steptoe
- Department of Behavioural Science and Health, University College London, 1-19 Torrington Place, London WC1E BT, UK
| | - Philipp Frank
- Department of Epidemiology and Public Health, University College London, 1-19 Torrington Place, London WC1E BT, UK
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18
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Molero P, Reina G, Blom JD, Martínez-González MÁ, Reinken A, de Kloet ER, Molendijk ML. COVID-19 risk, course and outcome in people with mental disorders: a systematic review and meta-analyses. Epidemiol Psychiatr Sci 2023; 32:e61. [PMID: 37859501 PMCID: PMC10594644 DOI: 10.1017/s2045796023000719] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Revised: 08/24/2023] [Accepted: 09/04/2023] [Indexed: 10/21/2023] Open
Abstract
AIMS It has been suggested that people with mental disorders have an elevated risk to acquire severe acute respiratory syndrome coronavirus 2 and to be disproportionally affected by coronavirus disease 19 (COVID-19) once infected. We aimed to analyse the COVID-19 infection rate, course and outcome, including mortality and long COVID, in people with anxiety, depressive, neurodevelopmental, schizophrenia spectrum and substance use disorders relative to control subjects without these disorders. METHODS This study constitutes a preregistered systematic review and random-effects frequentist and Bayesian meta-analyses. Major databases were searched up until 27 June 2023. RESULTS Eighty-one original articles were included reporting 304 cross-sectional and prospective effect size estimates (median n per effect-size = 114837) regarding associations of interest. Infection risk was not significantly increased for any mental disorder that we investigated relative to samples of people without these disorders. The course of COVID-19, however, is relatively severe, and long COVID and COVID-19-related hospitalization are more likely in all patient samples that we investigated. The odds of dying from COVID-19 were high in people with most types of mental disorders, except for those with anxiety and neurodevelopmental disorders relative to non-patient samples (pooled ORs range, 1.26-2.57). Bayesian analyses confirmed the findings from the frequentist approach and complemented them with estimates of the strength of evidence. CONCLUSIONS Once infected, people with pre-existing mental disorders are at an elevated risk for a severe COVID-19 course and outcome, including long COVID and mortality, relative to people without pre-existing mental disorders, despite an infection risk not significantly increased.
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Affiliation(s)
- Patricio Molero
- Department of Psychiatry and Clinical Psychology, Clínica Universidad de Navarra, Pamplona, Spain
- Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
| | - Gabriel Reina
- Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
- Department of Microbiology, Clínica Universidad de Navarra, Pamplona, Spain
| | - Jan Dirk Blom
- Institute of Psychology, Department of Clinical Psychology, Leiden University, Leiden, The Netherlands
- Outpatient Clinic for Uncommon Psychiatric Syndromes, Parnassia Psychiatric Institute, The Hague, The Netherlands
- Department of Psychiatry, University Medical Centre Groningen, University of Groningen, Groningen, The Netherlands
| | - Miguel Ángel Martínez-González
- Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
- Department of Preventive Medicine and Public Health, School of Medicine, University of Navarra, Pamplona, Spain
- CIBER-OBN, Instituto de Salud Carlos III, Madrid, Spain
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Aischa Reinken
- Institute of Psychology, Department of Clinical Psychology, Leiden University, Leiden, The Netherlands
| | - E. Ronald de Kloet
- Division of Endocrinology, Department of Internal Medicine, Leiden University Medical Center, Leiden, The Netherlands
| | - Marc L. Molendijk
- Institute of Psychology, Department of Clinical Psychology, Leiden University, Leiden, The Netherlands
- Leiden Institute for Brain and Cognition, Leiden University Medical Center, Leiden, The Netherlands
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van Sprang ED, Maciejewski DF, Giltay EJ, Hartman CA, Penninx BWJH, Milaneschi Y. Weighing poor immunometabolic health in relatives for severity of affective symptoms: A study of patients with depressive and anxiety disorders and their siblings. Psychoneuroendocrinology 2023; 156:106326. [PMID: 37393801 DOI: 10.1016/j.psyneuen.2023.106326] [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: 11/11/2022] [Revised: 05/25/2023] [Accepted: 06/24/2023] [Indexed: 07/04/2023]
Abstract
BACKGROUND Affective (i.e. depressive and anxiety) disorders often co-occur with immunometabolic diseases and related biological pathways. Although many large population-based and meta-analytic studies have confirmed this link in community and clinical samples, studies in at-risk samples of siblings of persons with affective disorders are lacking. Furthermore, this somatic-mental co-occurrence may be partially explained by familial clustering of the conditions. First, we examined whether the association between a wide range of immunometabolic diseases and related biomarker based risk-profiles with psychological symptoms replicates in at-risk siblings of probands with affective disorders. Second, leveraging on a sibling-pair design, we disentangled and quantified the effect of probands' immunometabolic health on siblings' psychological symptoms and on the association between immunometabolic health and these symptoms in siblings. METHODS The sample included 636 participants (Mage = 49.7; 62.4% female) from 256 families, each including a proband with lifetime depressive and/or anxiety disorders and at least one of their sibling(s) (N = 380 proband-sibling pairs). Immunometabolic health included cardiometabolic and inflammatory diseases, body mass index (BMI), and composite metabolic (based on the five metabolic syndrome components) and inflammatory (based on interleukin-6 and C-reactive protein) biomarker indices. Overall affective symptoms and specific atypical, energy-related depressive symptoms were derived from self-report questionnaires. Mixed-effects analyses were used to model familial clustering. RESULTS In siblings, inflammatory disease (γ = 0.25, p = 0.013), higher BMI (γ = 0.10, p = 0.033) and metabolic index (γ = 0.28, p < 0.001) were associated with higher affective symptoms, with stronger associations for atypical, energy-related depressive symptoms (additionally associated with cardiometabolic disease; γ = 0.56, p = 0.048). Immunometabolic health in probands was not independently associated with psychological symptoms in siblings nor did it moderate the association between immunometabolic health and psychological symptoms estimated in siblings. CONCLUSIONS Our findings demonstrate that the link between later life immunometabolic health and psychological symptoms is consistently present also in adult siblings at high risk for affective disorders. Familial clustering did not appear to have a substantial impact on this association. Instead, individual lifestyle, rather than familial factors, may have a relatively higher impact in the clustering of later life immunometabolic conditions with psychological symptoms in at-risk adult individuals. Furthermore, results highlighted the importance of focusing on specific depression profiles when investigating the overlap with immunometabolic health.
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Affiliation(s)
- Eleonore D van Sprang
- Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Psychiatry, Amsterdam Public Health Research Institute, Amsterdam, the Netherlands.
| | - Dominique F Maciejewski
- Department of Developmental Psychology, Tilburg School of Social and Behavioral Sciences, Tilburg University, Tilburg, the Netherlands
| | - Erik J Giltay
- Department of Psychiatry, Leiden University Medical Center, Leiden, the Netherlands
| | - Catharina A Hartman
- University of Groningen, University Medical Center Groningen, Interdisciplinary Center Psychopathology and Emotion regulation, Department of Psychiatry, Groningen, the Netherlands
| | - Brenda W J H Penninx
- Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Psychiatry, Amsterdam Public Health Research Institute, Amsterdam, the Netherlands
| | - Yuri Milaneschi
- Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Psychiatry, Amsterdam Public Health Research Institute, Amsterdam, the Netherlands.
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20
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Gajewska A, Strzelecki D, Gawlik-Kotelnicka O. Ghrelin as a Biomarker of "Immunometabolic Depression" and Its Connection with Dysbiosis. Nutrients 2023; 15:3960. [PMID: 37764744 PMCID: PMC10537261 DOI: 10.3390/nu15183960] [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: 08/05/2023] [Revised: 09/08/2023] [Accepted: 09/10/2023] [Indexed: 09/29/2023] Open
Abstract
Ghrelin, a gastrointestinal peptide, is an endogenous ligand of growth hormone secretagogue receptor 1a (GHSR1a), which is mainly produced by X/A-like cells in the intestinal mucosa. Beyond its initial description as a growth hormone (GH) secretagogue stimulator of appetite, ghrelin has been revealed to have a wide range of physiological effects, for example, the modulation of inflammation; the improvement of cardiac performance; the modulation of stress, anxiety, taste sensation, and reward-seeking behavior; and the regulation of glucose metabolism and thermogenesis. Ghrelin secretion is altered in depressive disorders and metabolic syndrome, which frequently co-occur, but it is still unknown how these modifications relate to the physiopathology of these disorders. This review highlights the increasing amount of research establishing the close relationship between ghrelin, nutrition, microbiota, and disorders such as depression and metabolic syndrome, and it evaluates the ghrelinergic system as a potential target for the development of effective pharmacotherapies.
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Affiliation(s)
- Agata Gajewska
- Faculty of Medicine, Medical University of Lodz, 92-216 Lodz, Poland;
| | - Dominik Strzelecki
- Department of Affective and Psychotic Disorders, Medical University of Lodz, 92-216 Lodz, Poland;
| | - Oliwia Gawlik-Kotelnicka
- Department of Affective and Psychotic Disorders, Medical University of Lodz, 92-216 Lodz, Poland;
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21
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Zeng Y, Sun B, Zhang F, Hu Z, Li W, Lan X, Ning Y, Zhou Y. The core inflammatory factors in patients with major depressive disorder: a network analysis. Front Psychiatry 2023; 14:1216583. [PMID: 37692303 PMCID: PMC10491022 DOI: 10.3389/fpsyt.2023.1216583] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Accepted: 08/10/2023] [Indexed: 09/12/2023] Open
Abstract
Introduction The symptoms of major depressive disorder (MDD) vary widely. Psycho-neuro-inflammation has shown that MDD's inflammatory factors can accelerate or slow disease progression. This network analysis study examined the complex interactions between depressed symptoms and inflammatory factors in MDD prevention and treatment. Measures We gathered participants' inflammatory factor levels, used the Hamilton Depression Scale (HAMD-17), and network analysis was used to analyzed the data. Network analysis revealed the core inflammatory (nodes) and their interactions (edges). Stability and accuracy tests assessed these centrality measures' network robustness. Cluster analysis was used to group persons with similar dimension depressive symptoms and examine their networks. Results Interleukin-1β (IL-1β) is the core inflammatory factor in the overall sample, and IL-1β-interleukin-4 (IL-4) is the strongest correlation. Network precision and stability passed. Network analysis showed significant differences between Cluster 1 (with more severe anxiety/somatization and sleep disruption) and Cluster 3 (with more severe retardation and cognitive disorders), as well as between Cluster 2 (with more severe anxiety/somatization, sleep disruption and body weight) and Cluster 3. IL-1β is the core inflammatory factor in Cluster 1 and Cluster 2, while tumor necrosis factor alpha (TNF-α) in Cluster 3. Conclusion IL-1β is the central inflammatory factor in the network, and there is heterogeneity in the core inflammatory factor of MDD with specific depressive dimension symptoms as the main manifestation. In conclusion, inflammatory factors and their links should be prioritized in future theoretical models of MDD and may provide new research targets for MDD intervention and treatment.
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Affiliation(s)
- Yexian Zeng
- Department of Child and Adolescent Psychiatry, Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
- Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China
- Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China Guangzhou Medical University, Guangzhou, China
| | - Bin Sun
- Department of Child and Adolescent Psychiatry, Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
- Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China Guangzhou Medical University, Guangzhou, China
| | - Fan Zhang
- Department of Child and Adolescent Psychiatry, Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
- Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China
- Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China Guangzhou Medical University, Guangzhou, China
| | - Zhibo Hu
- Department of Child and Adolescent Psychiatry, Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
- Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China
- Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China Guangzhou Medical University, Guangzhou, China
| | - Weicheng Li
- Department of Child and Adolescent Psychiatry, Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
- Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China
- Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China Guangzhou Medical University, Guangzhou, China
| | - Xiaofeng Lan
- Department of Child and Adolescent Psychiatry, Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
- Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China
- Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China Guangzhou Medical University, Guangzhou, China
| | - Yuping Ning
- Department of Child and Adolescent Psychiatry, Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
- Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China
- Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China Guangzhou Medical University, Guangzhou, China
- Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
- Department of Psychology,The First School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Yanling Zhou
- Department of Child and Adolescent Psychiatry, Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
- Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China
- Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China Guangzhou Medical University, Guangzhou, China
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22
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Hu X, Pang H, Liu J, Wang Y, Lou Y, Zhao Y. A network medicine-based approach to explore the relationship between depression and inflammation. Front Psychiatry 2023; 14:1184188. [PMID: 37492068 PMCID: PMC10364440 DOI: 10.3389/fpsyt.2023.1184188] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/11/2023] [Accepted: 06/20/2023] [Indexed: 07/27/2023] Open
Abstract
Background Depression is widespread global problem that not only severely impacts individuals' physical and mental health but also imposes a heavy disease burden on nations and societies. The role of inflammation in the pathogenesis and pathophysiology of depression has received much attention, but the precise relationship between the two remains unclear. This study aims to investigate the correlation between depression and inflammation using a network medicine approach. Methods We utilized a degree-preserving approach to identify the large connected component (LCC) of all depression-related proteins in the human interactome. The LCC was deemed as the disease module for depression. To measure the association between depression and other diseases, we calculated the overlap between these disease protein modules using the Sab algorithm. A smaller Sab value indicates a stronger association between diseases. Building on the results of this analysis, we further explored the correlation between inflammation and depression by conducting enrichment and pathway analyses of critical targets. Finally, we used a network proximity approach to calculate drug-disease proximity to predict the efficacy of drugs for the treatment of depression. We calculated and ranked the distances between depression disease modules and 6,100 drugs. The top-ranked drugs were selected to explore their potential for treating depression based on the hypothesis that their antidepressant effects are related to reducing inflammation. Results In the human interactome, all depression-related proteins are clustered into a large connected component (LCC) consisting of 202 proteins and multiple small subgraphs. This indicates that depression-related proteins tend to form clusters within the same network. We used the 202 LCC proteins as the key disease module for depression. Next, we investigated the potential relationships between depression and 299 other diseases. Our analysis identified over 18 diseases that exhibited significant overlap with the depression module. Where SAB = -0.075 for the vascular disease and depressive disorders module, SAB = -0.070 for the gastrointestinal disease and depressive disorders module, and SAB = -0.062 for the endocrine system disease and depressive disorders module. The distance between them SAB < 0 implies that the pathogenesis of depression is likely to be related to the pathogenesis of its co-morbidities of depression and that potential therapeutic approaches may be derived from the disease treatment libraries of these co-morbidities. Further, considering that the inflammation is ubiquitous in some disease, we calculate the overlap between the collected inflammation module (236 proteins) and the depression module (202 proteins), finding that they are closely related (Sdi = -0.358) in the human protein interaction network. After enrichment and pathway analysis of key genes, we identified the HIF-1 signaling pathway, PI3K-Akt signaling pathway, Th17 cell differentiation, hepatitis B, and inflammatory bowel disease as key to the inflammatory response in depression. Finally, we calculated the Z-score to determine the proximity of 6,100 drugs to the depression disease module. Among the top three drugs identified by drug-disease proximity analysis were Perphenazine, Clomipramine, and Amitriptyline, all of which had a greater number of targets in the network associated with the depression disease module. Notably, these drugs have been shown to exert both anti-inflammatory and antidepressant effects, suggesting that they may modulate depression through an anti-inflammatory mechanism. These findings demonstrate a correlation between depression and inflammation at the network medicine level, which has important implications for future elucidation of the etiology of depression and improved treatment outcomes. Conclusion Neuroimmune signaling pathways play an important role in the pathogenesis of depression, and many classes of antidepressants exhibiting anti-inflammatory properties. The pathogenesis of depression is closely related to inflammation.
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Affiliation(s)
- Xiaonan Hu
- Data Center of Traditional Chinese Medicine, Chinese Academy of Traditional Chinese Medicine, Beijing, China
| | - Huaxin Pang
- School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China
| | - Jia Liu
- Data Center of Traditional Chinese Medicine, Chinese Academy of Traditional Chinese Medicine, Beijing, China
| | - Yu Wang
- Institute of Acupuncture and Moxibustion, Chinese Academy of Traditional Chinese Medicine, Beijing, China
| | - Yifang Lou
- Data Center of Traditional Chinese Medicine, Chinese Academy of Traditional Chinese Medicine, Beijing, China
| | - Yufeng Zhao
- Data Center of Traditional Chinese Medicine, Chinese Academy of Traditional Chinese Medicine, Beijing, China
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23
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Lee SN, Yun JS, Ko SH, Ahn YB, Yoo KD, Her SH, Moon D, Jung SH, Won HH, Kim D. Impacts of gender and lifestyle on the association between depressive symptoms and cardiovascular disease risk in the UK Biobank. Sci Rep 2023; 13:10758. [PMID: 37402756 PMCID: PMC10319713 DOI: 10.1038/s41598-023-37221-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Accepted: 06/18/2023] [Indexed: 07/06/2023] Open
Abstract
We investigated the effects of gender and lifestyle on the association between frequency of depressive symptoms and CVD risk. The UK Biobank is a national prospective cohort study that recruited 502,505 participants aged 40-69 years between 2006 and 2010. Participants without CVD were classified as having low, moderate, high, or very high frequency of depressive symptoms according to the number of days they felt depressed in a 2-week period. UKBB data include self-reported questionnaires covering lifestyle behaviors such as smoking, physical activity, eating habits, and sleep duration. The primary outcomes included incident CVD including coronary artery disease, ischemic stroke, hemorrhagic stroke, peripheral artery disease, atrial fibrillation/flutter, and heart failure. Cox proportional hazard models were used to evaluate the effects of gender and lifestyle on the association of frequency of depressive symptoms and CVD risk. During a median follow-up of 8.9 years, 27,394 (6.3%) developed CVD. The frequency of depressive symptoms increased the risk of CVD according to low, moderate, high, and very high frequency of depressive symptoms (P for trend < 0.001). The adjusted CVD risk was 1.38-fold higher for participants with very high frequency of depressive symptoms compared to those with low frequency of depressive symptoms (HR 1.38, 95% CI 1.24-1.53, P < 0.001). The correlation between frequency of depressive symptoms and CVD risk was more remarkable in females than in males. In participants with high or very high frequency of depressive symptoms, the individual lifestyle factors of no current smoking, non-obesity, non-abdominal obesity, regular physical activity, and appropriate sleep respectively was associated with lower CVD risk by 46% (HR 0.54, 95% CI 0.48-0.60, P < 0.001), 36% (HR 0.64, 95% CI 0.58-0.70, P < 0.001), 31% (HR 0.69, 95% CI 0.62-0.76, P < 0.001), 25% (HR 0.75, 95% CI 0.68-0.83, P < 0.001), and 22% (HR 0.78, 95% CI 0.71-0.86, P < 0.001). In this large prospective cohort study, a higher frequency of depressive symptoms at baseline was significantly associated with increased risk of CVD in the middle-aged population, and this relationship was prominent in women. In the middle-aged population with depressive symptoms, engaging in a healthier lifestyle could prevent CVD risk.
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Affiliation(s)
- Su Nam Lee
- Division of Cardiology, Department of Internal Medicine, St. Vincent's Hospital, The Catholic University of Korea, Seoul, Republic of Korea
- Catholic Research Institute for Intractable Cardiovascular Disease (CRID), College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Jae-Seung Yun
- Division of Endocrinology and Metabolism, Department of Internal Medicine, St. Vincent's Hospital, The Catholic University of Korea, Seoul, Republic of Korea.
- Division of Endocrinology and Metabolism, Department of Internal Medicine, St. Vincent's Hospital, The Catholic University of Korea, 93, Jungbu-daero, Paldal-gu, Suwon, Gyunggi-do, 16247, Republic of Korea.
| | - Seung-Hyun Ko
- Division of Endocrinology and Metabolism, Department of Internal Medicine, St. Vincent's Hospital, The Catholic University of Korea, Seoul, Republic of Korea
| | - Yu-Bae Ahn
- Division of Endocrinology and Metabolism, Department of Internal Medicine, St. Vincent's Hospital, The Catholic University of Korea, Seoul, Republic of Korea
| | - Ki-Dong Yoo
- Division of Cardiology, Department of Internal Medicine, St. Vincent's Hospital, The Catholic University of Korea, Seoul, Republic of Korea
- Catholic Research Institute for Intractable Cardiovascular Disease (CRID), College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Sung-Ho Her
- Division of Cardiology, Department of Internal Medicine, St. Vincent's Hospital, The Catholic University of Korea, Seoul, Republic of Korea
- Catholic Research Institute for Intractable Cardiovascular Disease (CRID), College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Donggyu Moon
- Division of Cardiology, Department of Internal Medicine, St. Vincent's Hospital, The Catholic University of Korea, Seoul, Republic of Korea
- Catholic Research Institute for Intractable Cardiovascular Disease (CRID), College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Sang-Hyuk Jung
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Hong-Hee Won
- Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, Seoul, Republic of Korea
| | - Dokyoon Kim
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Institute for Biomedical Informatics, University of Pennsylvania, Philadelphia, PA, USA
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24
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de Kluiver H, Jansen R, Penninx BWJH, Giltay EJ, Schoevers RA, Milaneschi Y. Metabolomics signatures of depression: the role of symptom profiles. Transl Psychiatry 2023; 13:198. [PMID: 37301859 DOI: 10.1038/s41398-023-02484-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Revised: 05/04/2023] [Accepted: 05/23/2023] [Indexed: 06/12/2023] Open
Abstract
Depression shows a metabolomic signature overlapping with that of cardiometabolic conditions. Whether this signature is linked to specific depression profiles remains undetermined. Previous research suggested that metabolic alterations cluster more consistently with depressive symptoms of the atypical spectrum related to energy alterations, such as hyperphagia, weight gain, hypersomnia, fatigue and leaden paralysis. We characterized the metabolomic signature of an "atypical/energy-related" symptom (AES) profile and evaluated its specificity and consistency. Fifty-one metabolites measured using the Nightingale platform in 2876 participants from the Netherlands Study of Depression and Anxiety were analyzed. An 'AES profile' score was based on five items of the Inventory of Depressive Symptomatology (IDS) questionnaire. The AES profile was significantly associated with 31 metabolites including higher glycoprotein acetyls (β = 0.13, p = 1.35*10-12), isoleucine (β = 0.13, p = 1.45*10-10), very-low-density lipoproteins cholesterol (β = 0.11, p = 6.19*10-9) and saturated fatty acid levels (β = 0.09, p = 3.68*10-10), and lower high-density lipoproteins cholesterol (β = -0.07, p = 1.14*10-4). The metabolites were not significantly associated with a summary score of all other IDS items not included in the AES profile. Twenty-five AES-metabolites associations were internally replicated using data from the same subjects (N = 2015) collected at 6-year follow-up. We identified a specific metabolomic signature-commonly linked to cardiometabolic disorders-associated with a depression profile characterized by atypical, energy-related symptoms. The specific clustering of a metabolomic signature with a clinical profile identifies a more homogenous subgroup of depressed patients at higher cardiometabolic risk, and may represent a valuable target for interventions aiming at reducing depression's detrimental impact on health.
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Affiliation(s)
- Hilde de Kluiver
- Department of Psychiatry, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Amsterdam Public Health, Mental Health program, Amsterdam, The Netherlands
| | - Rick Jansen
- Department of Psychiatry, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Amsterdam Public Health, Mental Health program, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Mood, Anxiety, Psychosis, Sleep & Stress program, Amsterdam, The Netherlands
| | - Brenda W J H Penninx
- Department of Psychiatry, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Amsterdam Public Health, Mental Health program, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Mood, Anxiety, Psychosis, Sleep & Stress program, Amsterdam, The Netherlands
| | - Erik J Giltay
- Department of Psychiatry, Leiden University Medical Center, Leiden, The Netherlands
| | - Robert A Schoevers
- University of Groningen, University Medical Center Groningen, Department of Psychiatry and Research School of Behavioural and Cognitive Neurosciences (BCN), Groningen, The Netherlands
| | - Yuri Milaneschi
- Department of Psychiatry, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
- Amsterdam Public Health, Mental Health program, Amsterdam, The Netherlands.
- Amsterdam Neuroscience, Mood, Anxiety, Psychosis, Sleep & Stress program, Amsterdam, The Netherlands.
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25
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Chae WR, Baumert J, Nübel J, Brasanac J, Gold SM, Hapke U, Otte C. Associations between individual depressive symptoms and immunometabolic characteristics in major depression. Eur Neuropsychopharmacol 2023; 71:25-40. [PMID: 36966710 DOI: 10.1016/j.euroneuro.2023.03.007] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 03/03/2023] [Accepted: 03/07/2023] [Indexed: 05/29/2023]
Abstract
Inflammation and metabolic dysregulations are likely to underlie atypical, energy-related depressive symptoms such as appetite and sleep alterations. Indeed, increased appetite was previously identified as a core symptom of an immunometabolic subtype of depression. The aim of this study was 1) to replicate the associations between individual depressive symptoms and immunometabolic markers, 2) to extend previous findings with additional markers, and 3) to evaluate the relative contribution of these markers to depressive symptoms. We analyzed data from 266 persons with major depressive disorder (MDD) in the last 12 months from the German Health Interview and Examination Survey for Adults and its mental health module. Diagnosis of MDD and individual depressive symptoms were determined by the Composite International Diagnostic Interview. Associations were analyzed using multivariable regression models, adjusting for depression severity, sociodemographic/behavioral variables, and medication use. Increased appetite was associated with higher body mass index (BMI), waist circumference (WC), insulin, and lower high-density lipoprotein. In contrast, decreased appetite was associated with lower BMI, WC, and fewer metabolic syndrome (MetS) components. Insomnia was associated with higher BMI, WC, number of MetS components, triglycerides, insulin, and lower albumin, while hypersomnia was associated with higher insulin. Suicidal ideation was associated with higher number of MetS components, glucose, and insulin. None of the symptoms were associated with C-reactive protein after adjustment. Appetite alterations and insomnia were most important symptoms associated with metabolic markers. Longitudinal studies should investigate whether the candidate symptoms identified here are predicted by or predict the development of metabolic pathology in MDD.
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Affiliation(s)
- Woo Ri Chae
- Charité - Universitätsmedizin Berlin, Department of Psychiatry and Neurosciences, Campus Benjamin Franklin, Berlin, Germany.
| | - Jens Baumert
- Robert-Koch Institute, Department of Epidemiology and Health Monitoring, Berlin, Germany
| | - Julia Nübel
- Robert-Koch Institute, Department of Epidemiology and Health Monitoring, Berlin, Germany
| | - Jelena Brasanac
- Charité - Universitätsmedizin Berlin, Department of Psychiatry and Neurosciences, Campus Benjamin Franklin, Berlin, Germany
| | - Stefan M Gold
- Charité - Universitätsmedizin Berlin, Department of Psychiatry and Neurosciences, Campus Benjamin Franklin, Berlin, Germany; Charité - Universitätsmedizin Berlin, Medical Department, Section Psychosomatic Medicine, Hindenburgdamm 30, 12203 Berlin, Germany; Institute of Neuroimmunology and Multiple Sclerosis (INIMS), Center for Molecular Neurobiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Ulfert Hapke
- Robert-Koch Institute, Department of Epidemiology and Health Monitoring, Berlin, Germany
| | - Christian Otte
- Charité - Universitätsmedizin Berlin, Department of Psychiatry and Neurosciences, Campus Benjamin Franklin, Berlin, Germany
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26
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Chin Fatt CR, Mayes TL, Trivedi MH. Immune Dysregulation in Treatment-Resistant Depression: Precision Approaches to Treatment Selection and Development of Novel Treatments. Psychiatr Clin North Am 2023; 46:403-413. [PMID: 37149353 DOI: 10.1016/j.psc.2023.02.010] [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] [Indexed: 05/08/2023]
Abstract
Owing to the link between immune dysfunction and treatment-resistant depression (TRD) and the overwhelming evidence that the immune dysregulation and major depressive disorder (MDD) are associated with each other, using immune profiles to identify the biological distinct subgroup may be the step forward to understanding MDD and TRD. This report aims to briefly review the role of inflammation in the pathophysiology of depression (and TRD in particular), the role of immune dysfunction to guide precision medicine, tools used to understand immune function, and novel statistical techniques.
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Affiliation(s)
- Cherise R Chin Fatt
- Center for Depression Research and Clinical Care, UT Southwestern Medical Center, 5323 Harry Hines Boulevard, Dallas, TX 75235-9086, USA
| | - Taryn L Mayes
- Center for Depression Research and Clinical Care, UT Southwestern Medical Center, 5323 Harry Hines Boulevard, Dallas, TX 75235-9086, USA
| | - Madhukar H Trivedi
- Center for Depression Research and Clinical Care, UT Southwestern Medical Center, 5323 Harry Hines Boulevard, Dallas, TX 75235-9086, USA.
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27
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Drinčić T, van Dalfsen JH, Kamphuis J, Jentsch MC, van Belkum SM, Meddens MJM, Penninx BWJH, Schoevers RA. The Relationship between Insomnia and the Pathophysiology of Major Depressive Disorder: An Evaluation of a Broad Selection of Serum and Urine Biomarkers. Int J Mol Sci 2023; 24:ijms24098437. [PMID: 37176140 PMCID: PMC10179282 DOI: 10.3390/ijms24098437] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 04/20/2023] [Accepted: 04/28/2023] [Indexed: 05/15/2023] Open
Abstract
Insomnia exhibits a clinically relevant relationship with major depressive disorder (MDD). Increasing evidence suggests that insomnia is associated with neurobiological alterations that resemble the pathophysiology of MDD. However, research in a clinical population is limited. The present study, therefore, aimed to investigate the relationship between insomnia and the main pathophysiological mechanisms of MDD in a clinical sample of individuals with MDD. Data were extracted from three cohorts (N = 227) and included an evaluation of depression severity (Quick Inventory of Depressive Symptomatology, QIDS-SR16) and insomnia severity (QIDS-SR16 insomnia items) as well as serum and urine assessments of 24 immunologic (e.g., tumour necrosis factor α receptor 2 and calprotectin), neurotrophic (e.g., brain-derived neurotrophic factor and epidermal growth factor), neuroendocrine (e.g., cortisol and aldosterone), neuropeptide (i.e., substance P), and metabolic (e.g., leptin and acetyl-L-carnitine) biomarkers. Linear regression analyses evaluating the association between insomnia severity and biomarker levels were conducted with and without controlling for depression severity (M = 17.32), antidepressant use (18.9%), gender (59.0% female; 40.5% male), age (M = 42.04), and the cohort of origin. The results demonstrated no significant associations between insomnia severity and biomarker levels. In conclusion, for the included biomarkers, current findings reveal no contribution of insomnia to the clinical pathophysiology of MDD.
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Affiliation(s)
- Tina Drinčić
- Department of Psychiatry, University Medical Centre Groningen, Hanzeplein 1, 9713 RB Groningen, The Netherlands
| | - Jens H van Dalfsen
- Department of Psychiatry, University Medical Centre Groningen, Hanzeplein 1, 9713 RB Groningen, The Netherlands
| | - Jeanine Kamphuis
- Department of Psychiatry, University Medical Centre Groningen, Hanzeplein 1, 9713 RB Groningen, The Netherlands
| | - Mike C Jentsch
- Department of Psychiatry, University Medical Centre Groningen, Hanzeplein 1, 9713 RB Groningen, The Netherlands
| | - Sjoerd M van Belkum
- Department of Psychiatry, University Medical Centre Groningen, Hanzeplein 1, 9713 RB Groningen, The Netherlands
| | | | - Brenda W J H Penninx
- Department of Psychiatry, Amsterdam University Medical Centre (VUmc), De Boelelaan 1118, 1081 HZ Amsterdam, The Netherlands
| | - Robert A Schoevers
- Department of Psychiatry, University Medical Centre Groningen, Hanzeplein 1, 9713 RB Groningen, The Netherlands
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van Haeringen M, Milaneschi Y, Lamers F, Penninx BW, Jansen R. Dissection of depression heterogeneity using proteomic clusters. Psychol Med 2023; 53:2904-2912. [PMID: 35039097 PMCID: PMC10235664 DOI: 10.1017/s0033291721004888] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/27/2020] [Revised: 09/23/2021] [Accepted: 11/05/2021] [Indexed: 12/26/2022]
Abstract
BACKGROUND The search for relevant biomarkers of major depressive disorder (MDD) is challenged by heterogeneity; biological alterations may vary in patients expressing different symptom profiles. Moreover, most research considers a limited number of biomarkers, which may not be adequate for tagging complex network-level mechanisms. Here we studied clusters of proteins and examined their relation with MDD and individual depressive symptoms. METHODS The sample consisted of 1621 subjects from the Netherlands Study of Depression and Anxiety (NESDA). MDD diagnoses were based on DSM-IV criteria and the Inventory of Depressive Symptomatology questionnaire measured endorsement of 30 symptoms. Serum protein levels were detected using a multi-analyte platform (171 analytes, immunoassay, Myriad RBM DiscoveryMAP 250+). Proteomic clusters were computed using weighted correlation network analysis (WGCNA). RESULTS Six proteomic clusters were identified, of which one was nominally significantly associated with current MDD (p = 9.62E-03, Bonferroni adj. p = 0.057). This cluster contained 21 analytes and was enriched with pathways involved in inflammation and metabolism [including C-reactive protein (CRP), leptin and insulin]. At the individual symptom level, this proteomic cluster was associated with ten symptoms, among which were five atypical, energy-related symptoms. After correcting for several health and lifestyle covariates, hypersomnia, increased appetite, panic and weight gain remained significantly associated with the cluster. CONCLUSIONS Our findings support the idea that alterations in a network of proteins involved in inflammatory and metabolic processes are present in MDD, but these alterations map predominantly to clinical symptoms reflecting an imbalance between energy intake and expenditure.
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Affiliation(s)
- Marije van Haeringen
- Department of Psychiatry, Amsterdam UMC, Vrije Universiteit, Amsterdam Public Health Research Institute and Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Yuri Milaneschi
- Department of Psychiatry, Amsterdam UMC, Vrije Universiteit, Amsterdam Public Health Research Institute and Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Femke Lamers
- Department of Psychiatry, Amsterdam UMC, Vrije Universiteit, Amsterdam Public Health Research Institute and Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Brenda W.J.H. Penninx
- Department of Psychiatry, Amsterdam UMC, Vrije Universiteit, Amsterdam Public Health Research Institute and Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Rick Jansen
- Department of Psychiatry, Amsterdam UMC, Vrije Universiteit, Amsterdam Public Health Research Institute and Amsterdam Neuroscience, Amsterdam, The Netherlands
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Gawlik-Kotelnicka O, Margulska A, Skowrońska A, Strzelecki D. PRO-DEMET Randomized Controlled Trial on Probiotics in Depression—Pilot Study Results. Nutrients 2023; 15:nu15061400. [PMID: 36986132 PMCID: PMC10058314 DOI: 10.3390/nu15061400] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2023] [Revised: 03/11/2023] [Accepted: 03/13/2023] [Indexed: 03/17/2023] Open
Abstract
There is a pressing need to identify new treatment options for depression and its comorbidities. Depression often coexists with metabolic complications, and the two may share a pathophysiological overlap, including inflammation and microbiota changes. Microbiota interventions (e.g., probiotics) may represent a safe and easy-to-use treatment option as an adjunctive therapy in patients only partially responsive to pharmacologic treatment. (1) Objective: The paper presents the results of a feasibility and pilot study. The study is an internal part of a randomized controlled trail (RCT) of the effect of probiotic supplementation on psychometric, anthropometric, metabolic, and inflammatory parameters in adult patients with depressive disorders depending on the presence of metabolic syndrome. (2) Methods: The trial has a four-arm, parallel-group, prospective, randomized, double-blind, controlled design. Sixty participants received a probiotic preparation containing Lactobacillus helveticus Rosell®-52 and Bifidobacterium longum Rosell®-175 over 60 days. The feasibility of the study design was assessed, as well as the rates of recruitment, eligibility, consent, and study completion. The following were assessed: depressive, anxiety and stress symptoms, quality of life, blood pressure, body mass index and waist circumference, complete blood count with differential, serum levels of C-reactive protein, high-density lipoprotein cholesterol, triglycerides, fasting glucose, some secondary markers of inflammation and metabolic health, as well as noninvasive biomarkers of liver fibrosis (APRI and FIB-4). (3) Results: The study was found to be generally feasible. The eligibility rate was 52% of recruited participants with 80% completing the study protocol. No differences in sociodemographic or anthropometric factors or basic laboratory findings were found between the placebo and probiotic group at the start of the intervention period. Importantly, the proportion of recruited participants fulfilling the criteria of metabolic syndrome was too low. (4) Conclusions: Whilst the whole study protocol was feasible, some different timepoint procedures require modification. The major weakness of the recruitment methods was that the percentage of metabolic arms participants was insufficient. Overall, the full RCT design on probiotics in depression with vs. without metabolic syndrome was shown to be feasible with little modification.
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Affiliation(s)
- Oliwia Gawlik-Kotelnicka
- Department of Affective and Psychotic Disorders, Medical University of Lodz, 92-216 Lodz, Poland
- Correspondence:
| | - Aleksandra Margulska
- Department of Adolescent Psychiatry, Medical University of Lodz, 92-216 Lodz, Poland
| | - Anna Skowrońska
- Department of Affective and Psychotic Disorders, Medical University of Lodz, 92-216 Lodz, Poland
| | - Dominik Strzelecki
- Department of Affective and Psychotic Disorders, Medical University of Lodz, 92-216 Lodz, Poland
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Křenek P, Hořínková J, Bartečků E. Peripheral Inflammatory Markers in Subtypes and Core Features of Depression: A Systematized Review. Psychopathology 2023; 56:403-416. [PMID: 36812905 PMCID: PMC10568602 DOI: 10.1159/000528907] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Accepted: 12/28/2022] [Indexed: 02/24/2023]
Abstract
INTRODUCTION The aim of this work was to summarize relationships between two subtypes of major depressive disorder (melancholic and atypical) and four core features of depression that reflect the domains identified consistently in previous studies of major depressive disorder endophenotypes (exaggerated reactivity to negative information, altered reward processing, cognitive control deficits, and somatic symptoms) on the one hand and selected peripheral inflammatory markers (C-reactive protein [CRP], cytokines, and adipokines) on the other. METHODS A systematized review was conducted. The database used for searching articles was PubMed (MEDLINE). RESULTS According to our search, most peripheral immunological markers associated with major depressive disorder are not specific to a single depressive symptom group. The most evident examples are CRP, IL-6, and TNF-α. The strongest evidence supports the connection of peripheral inflammatory markers with somatic symptoms; weaker evidence indicates a role of immune changes in altered reward processing. The least amount of evidence was found for the role of peripheral inflammatory markers in exaggerated reactivity to negative information and cognitive control deficits. Regarding the depression subtypes, a tendency for higher CRP and adipokines was observed in atypical depression; increased IL-6 was found in melancholic depression. CONCLUSION Somatic symptoms of depression could be a manifestation of a specific immunological endophenotype of depressive disorder. Melancholic and atypical depression may be characterized by different profiles of immunological markers.
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Affiliation(s)
- Pavel Křenek
- Department of Psychiatry, Faculty of Medicine, Masaryk University and University Hospital Brno, Brno, Czechia,
| | - Jana Hořínková
- Department of Psychiatry, Faculty of Medicine, Masaryk University and University Hospital Brno, Brno, Czechia
| | - Elis Bartečků
- Department of Psychiatry, Faculty of Medicine, Masaryk University and University Hospital Brno, Brno, Czechia
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Exploring Associations between C-Reactive Protein and Self-Reported Interoception in Major Depressive Disorder: A Bayesian Analysis. Brain Sci 2023; 13:brainsci13020353. [PMID: 36831896 PMCID: PMC9954036 DOI: 10.3390/brainsci13020353] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2023] [Revised: 02/14/2023] [Accepted: 02/16/2023] [Indexed: 02/22/2023] Open
Abstract
Major depressive disorder (MDD) is associated with dysfunctional self-reported interoception (i.e., abnormal perception of the body's physiological state) and systemic inflammation, both of which adversely affect treatment response. In this study, we explored associations between C-reactive protein (CRP) and self-reported interoception, to gain more insight into the pathophysiology of interoceptive impairments in MDD. We also aimed to replicate previous findings on the associations of depression and fatigue severity with CRP. The study included 97 depressed individuals, who completed self-administered questionnaires (Multidimensional Assessment of Interoceptive Awareness (MAIA-2); Beck Depression Inventory-II, Multidimensional Fatigue Inventory). CRP concentrations were analyzed in the serum using a particle-enhanced turbidimetric immunoassay. We applied Bayesian inference to estimate robust effect parameters from posterior distributions based on MCMC sampling, and computed Bayes factors (BF10) as indices of relative evidence. The bivariate analysis supported evidence against associations between CRP and self-reported interoception (BF10 ≤ 0.32), except for one dimension (Not-Distracting: r = 0.11, BF10 > 0.43, absence of evidence). Positive correlations with overall depression (r = 0.21, BF10 = 3.19), physical fatigue (r = 0.28, BF10 = 20.64), and reduced activity (r = 0.22, BF10 = 4.67) were found. The multivariate analysis showed moderate evidence that low-grade inflammation predicted higher scores on the MAIA-2 Not-Worrying scale (β = 0.28, BF10 = 3.97), after controlling for relevant confounders. Inflammatory responses, as measured by CRP, may not be involved in the pathophysiology of dysfunctional self-reported interoception. However, systemic low-grade inflammation could potentially exert a protective effect against worries about pain or discomfort sensations. An immunological involvement in interoceptive impairments cannot be ruled out until future studies considering additional biomarkers of inflammation replicate our findings.
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Sociodemographic, lifestyle and clinical characteristics of energy-related depression symptoms: A pooled analysis of 13,965 depressed cases in 8 Dutch cohorts. J Affect Disord 2023; 323:1-9. [PMID: 36372132 DOI: 10.1016/j.jad.2022.11.005] [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: 11/22/2021] [Revised: 10/03/2022] [Accepted: 11/06/2022] [Indexed: 11/13/2022]
Abstract
BACKGROUND In a substantial subgroup of depressed patients, atypical, energy-related depression symptoms (e.g. increased appetite/weight, hypersomnia, loss of energy) tend to cluster with immuno-metabolic dysregulations (e.g. increased BMI and inflammatory markers). This clustering is proposed to reflect a more homogeneous depression pathology. This study examines to what extent energy-related symptoms are associated and share sociodemographic, lifestyle and clinical characteristics. METHODS Data were available from 13,965 participants from eight Dutch cohorts with DSM-5 lifetime major depression assessed by the Lifetime Depression Assessment Self-report (LIDAS) questionnaire. Information on four energy-related depression symptoms were extracted: energy loss, increased appetite, increased weight, and hypersomnia. Tetrachoric correlations between these symptoms, and associations of these symptoms with sociodemographic (sex, age, education), lifestyle (physical activity, BMI, smoking) and clinical characteristics (age of onset, episode duration, history, treatment and recency, and self-reported comorbidity) were computed. RESULTS Correlations between energy-related symptoms were overall higher than those with other depression symptoms and varied from 0.90 (increased appetite vs increased weight) to 0.11 (increased appetite vs energy loss). All energy-related symptoms were strongly associated with higher BMI and a more severe clinical profile. Patients with increased appetite were more often smokers, and only patients with increased appetite or weight more often had a self-reported diagnosis of PTSD (OR = 1.17, p = 2.91E-08) and eating disorder (OR = 1.40, p = 4.08E-17). CONCLUSIONS The symptom-specific associations may have consequences for a profile integrating these symptoms, which can be used to reflect immuno-metabolic depression. They indicate the need to study immuno-metabolic depression at individual symptom resolution as a starting point.
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Lamers F. The Tale of Depression and Inflammation Unraveled: On Depression Measurement Levels and Next Steps. Biol Psychiatry 2023; 93:211-212. [PMID: 36567084 DOI: 10.1016/j.biopsych.2022.11.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Accepted: 11/07/2022] [Indexed: 12/24/2022]
Affiliation(s)
- Femke Lamers
- Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Psychiatry, Amsterdam, The Netherlands; Amsterdam Public Health, Mental Health program, Amsterdam, The Netherlands.
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Elayoubi J, Haley WE, Roth DL, Cushman M, Sheehan OC, Howard VJ, Hladek MD, Hueluer G. Associations of perceived stress, depressive symptoms, and caregiving with inflammation: a longitudinal study. Int Psychogeriatr 2023; 35:95-105. [PMID: 35543307 DOI: 10.1017/s1041610222000370] [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] [Indexed: 11/06/2022]
Abstract
OBJECTIVES Higher inflammation has been linked to poor physical and mental health outcomes, and mortality, but few studies have rigorously examined whether changes in perceived stress and depressive symptoms are associated with increased inflammation within family caregivers and non-caregivers in a longitudinal design. DESIGN Longitudinal Study. SETTING REasons for Geographic And Racial Differences in Stroke cohort study. PARTICIPANTS Participants included 239 individuals who were not caregivers at baseline but transitioned to providing substantial and sustained caregiving over time. They were initially matched to 241 non-caregiver comparisons on age, sex, race, education, marital status, self-rated health, and history of cardiovascular disease. Blood was drawn at baseline and approximately 9.3 years at follow-up for both groups. MEASUREMENTS Perceived Stress Scale, Center for Epidemiological Studies-Depression, inflammatory biomarkers, including high-sensitivity C-reactive protein, D dimer, tumor necrosis factor alpha receptor 1, interleukin (IL)-2, IL-6, and IL-10 taken at baseline and follow-up. RESULTS Although at follow-up, caregivers showed significantly greater worsening in perceived stress and depressive symptoms compared to non-caregivers, there were few significant associations between depressive symptoms or perceived stress on inflammation for either group. Inflammation, however, was associated with multiple demographic and health variables, including age, race, obesity, and use of medications for hypertension and diabetes for caregivers and non-caregivers. CONCLUSIONS These findings illustrate the complexity of studying the associations between stress, depressive symptoms, and inflammation in older adults, where these associations may depend on demographic, disease, and medication effects. Future studies should examine whether resilience factors may prevent increased inflammation in older caregivers.
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Affiliation(s)
- Joanne Elayoubi
- School of Aging Studies, University of South Florida, Tampa, FL, USA
| | - William E Haley
- School of Aging Studies, University of South Florida, Tampa, FL, USA
| | - David L Roth
- Center on Aging and Health, Division of Geriatric Medicine and Gerontology, Johns Hopkins University, Baltimore, MD, USA
| | - Mary Cushman
- Department of Medicine & Pathology, University of Vermont, Burlington, VT, USA
| | - Orla C Sheehan
- Center on Aging and Health, Division of Geriatric Medicine and Gerontology, Johns Hopkins University, Baltimore, MD, USA
| | - Virginia J Howard
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA
| | | | - Gizem Hueluer
- School of Aging Studies, University of South Florida, Tampa, FL, USA
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Moriarity DP, Slavich GM, Alloy LB, Olino TM. Hierarchical Inflammatory Phenotypes of Depression: A Novel Approach Across Five Independent Samples and 27,730 Adults. Biol Psychiatry 2023; 93:253-259. [PMID: 36802275 PMCID: PMC10014190 DOI: 10.1016/j.biopsych.2022.08.017] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Revised: 07/16/2022] [Accepted: 08/03/2022] [Indexed: 11/02/2022]
Abstract
BACKGROUND Although characterizing associations between inflammation and depression may prove critical for informing theory, research, and treatment decisions, extant research has been limited by ignoring the possibility that inflammation may be simultaneously associated with depression broadly and with a subset of symptoms. This lack of direct comparison has hampered attempts to understand inflammatory phenotypes of depression and critically fails to consider that inflammation might be uniquely associated with both depression broadly and individual symptoms. METHODS We used moderated nonlinear factor analysis in 5 NHANES (National Health and Nutrition Examination Survey) cohorts (N = 27,730, 51% female, mean age = 46 years). RESULTS C-reactive protein (CRP) is simultaneously associated with latent depression, appetite, and fatigue. Specifically, CRP was associated with latent depression in all 5 samples (rs: 0.044-0.089; ps: < .001-.002) and was associated with both appetite (significant rs: 0.031-0.049, significant ps: .001-.007) and fatigue (significant rs: 0.030-0.054, significant ps: < .001-.029) in 4 samples. These results were largely robust to covariates. CONCLUSIONS Methodologically, these models indicate that the Patient Health Questionnaire-9 is scalar noninvariant as a function of CRP (i.e., identical Patient Health Questionnaire-9 scores may represent different constructs in those with high vs. low CRP levels). Therefore, mean comparisons of depression total scores and CRP might be misleading without accounting for symptom-specific associations. Conceptually, these findings indicate that studies investigating inflammatory phenotypes of depression should examine how inflammation is simultaneously related both to depression broadly and to specific symptoms, and whether these relations function via different mechanisms. This has the potential to yield new theoretical insights and may lead to the development of novel therapies for reducing inflammation-related symptoms of depression.
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Affiliation(s)
- Daniel P Moriarity
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, California.
| | - George M Slavich
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, California
| | - Lauren B Alloy
- Department of Psychology, Temple University, Philadelphia, Pennsylvania
| | - Thomas M Olino
- Department of Psychology, Temple University, Philadelphia, Pennsylvania
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Lengvenyte A, Strumila R, Belzeaux R, Aouizerate B, Dubertret C, Haffen E, Llorca PM, Roux P, Polosan M, Schwan R, Walter M, D'Amato T, Januel D, Leboyer M, Bellivier F, Etain B, Navickas A, Olié E, Courtet P. Associations of white blood cell and platelet counts with specific depressive symptom dimensions in patients with bipolar disorder: Analysis of data from the FACE-BD cohort. Brain Behav Immun 2023; 108:176-187. [PMID: 36494046 DOI: 10.1016/j.bbi.2022.12.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Revised: 10/21/2022] [Accepted: 12/03/2022] [Indexed: 12/12/2022] Open
Abstract
Evidences suggest that inflammation is increased in a subgroup of patients with depression. Moreover, increased peripheral inflammatory markers (cells and proteins) are associated with some, but not all depressive symptoms. On the other hand, similar studies on bipolar disorders mainly focused on blood cytokines. Here, we analysed data from a large (N = 3440), well-characterized cohort of individuals with bipolar disorder using Kendall partial rank correlation, multivariate linear regression, and network analyses to determine whether peripheral blood cell counts are associated with depression severity, its symptoms, and dimensions. Based on the self-reported 16-Item Quick Inventory of Depressive Symptomatology questionnaire scores, we preselected symptom dimensions based on literature and data-driven principal component analysis. We found that the counts of all blood cell types were only marginally associated with depression severity. Conversely, white blood cell count was significantly associated with the sickness dimension and its four components (anhedonia, slowing down, fatigue, and appetite loss). Platelet count was associated with the insomnia/restlessness dimension and its components (initial, middle, late insomnia and restlessness). Principal component analyses corroborated these results. Platelet count was also associated with suicidal ideation. In analyses stratified by sex, the white blood cell count-sickness dimension association remained significant only in men, and the platelet count-insomnia/restlessness dimension association only in women. Without implying causation, these results suggest that peripheral blood cell counts might be associated with different depressive symptoms in individuals with bipolar disorder, and that white blood cells might be implicated in sickness symptoms and platelets in insomnia/agitation and suicidal ideation.
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Affiliation(s)
- Aiste Lengvenyte
- Department of Emergency Psychiatry and Acute Care, Lapeyronie Hospital CHU Montpellier, Montpellier, France; IGF, Univ. Montpellier, CNRS, INSERM, Montpellier, France; Faculty of Medicine, Institute of Clinical Medicine, Psychiatric Clinic, Vilnius University, Vilnius, Lithuania; Fondation FondaMental, France.
| | - Robertas Strumila
- Department of Emergency Psychiatry and Acute Care, Lapeyronie Hospital CHU Montpellier, Montpellier, France; IGF, Univ. Montpellier, CNRS, INSERM, Montpellier, France; Faculty of Medicine, Institute of Clinical Medicine, Psychiatric Clinic, Vilnius University, Vilnius, Lithuania
| | - Raoul Belzeaux
- IGF, Univ. Montpellier, CNRS, INSERM, Montpellier, France; Fondation FondaMental, France; Pôle de Psychiatrie, Assistance Publique Hôpitaux de Marseille, Marseille, France; INT-UMR7289, CNRS Aix-Marseille Université, Marseille, France
| | - Bruno Aouizerate
- Fondation FondaMental, France; Centre Hospitalier Charles Perrens, Bordeaux, France; Laboratoire NutriNeuro (UMR INRA 1286), Université de Bordeaux, Bordeaux, France
| | - Caroline Dubertret
- Fondation FondaMental, France; Université Paris Cité, Paris, France; AP-HP, Groupe Hospitalo-Universitaire AP-HP Nord, DMU ESPRIT, Service de Psychiatrie et Addictologie, Hôpital Louis Mourier, Colombes, France; Université de Paris, Inserm UMR1266, Sorbonne Paris Cité, Faculté de Médecine, Paris, France
| | - Emmanuel Haffen
- Fondation FondaMental, France; Service de Psychiatrie de l'Adulte, CIC-1431 INSERM, CHU de Besançon, Laboratoire de Neurosciences, UFC, UBFC, Besançon, France
| | - Pierre-Michel Llorca
- Fondation FondaMental, France; Centre Hospitalier et Universitaire, Département de Psychiatrie, Clermont-Ferrand, France; Université d'Auvergne, EA 7280 Clermont-Ferrand, France
| | - Paul Roux
- Fondation FondaMental, France; Université Paris-Saclay, UVSQ, CESP UMR1018, DevPsy-DisAP, Centre Hospitalier de Versailles, Pôle de Psychiatrie et Santé Mentale, 78157 Le Chesnay, France
| | - Mircea Polosan
- Fondation FondaMental, France; Univ. Grenoble Alpes, Inserm, U1216, CHU Grenoble Alpes, Grenoble Institut Neurosciences, Grenoble, France
| | - Raymund Schwan
- Fondation FondaMental, France; Université de Lorraine, Centre Psychothérapique de Nancy, Inserm U1254, Nancy, France
| | - Michel Walter
- Fondation FondaMental, France; Service Hospitalo-Universitaire de Psychiatrie Générale et de Réhabilitation Psycho Sociale 29G01 et 29G02, CHRU de Brest, Hôpital de Bohars, Brest, France
| | - Thierry D'Amato
- Fondation FondaMental, France; University Lyon 1, Villeurbanne, France; INSERM, U1028, CNRS, UMR5292, Lyon Neuroscience Research Center, Psychiatric Disorders: From Resistance to Response Team, Lyon, France
| | - Dominique Januel
- Fondation FondaMental, France; Unité de Recherche Clinique, EPS Ville-Evrard, 93332 Neuilly-sur-Marne, France
| | - Marion Leboyer
- Fondation FondaMental, France; Univ Paris Est Créteil, INSERM U955, IMRB, Translational NeuroPsychiatry Laboratory, Créteil, France; AP-HP, Hôpitaux Universitaires Henri Mondor, Département Médico-Universitaire de Psychiatrie et d'Addictologie (DMU IMPACT), Fédération Hospitalo-Universitaire de Médecine de Précision en Psychiatrie (FHU ADAPT), Créteil, France
| | - Frank Bellivier
- Fondation FondaMental, France; Université Paris Cité, Paris, France; AP-HP, Groupe Hospitalo-Universitaire AP-HP Nord, DMU Neurosciences, Hôpital Fernand Widal, Département de Psychiatrie et de Médecine Addictologique, Paris, France; Université Paris Cité, INSERM UMR-S 1144, Optimisation Thérapeutique en Neuropsychopharmacologie OTeN, Paris, France
| | - Bruno Etain
- Fondation FondaMental, France; Université Paris Cité, Paris, France; AP-HP, Groupe Hospitalo-Universitaire AP-HP Nord, DMU Neurosciences, Hôpital Fernand Widal, Département de Psychiatrie et de Médecine Addictologique, Paris, France; Université Paris Cité, INSERM UMR-S 1144, Optimisation Thérapeutique en Neuropsychopharmacologie OTeN, Paris, France
| | - Alvydas Navickas
- Faculty of Medicine, Institute of Clinical Medicine, Psychiatric Clinic, Vilnius University, Vilnius, Lithuania
| | - Emilie Olié
- Department of Emergency Psychiatry and Acute Care, Lapeyronie Hospital CHU Montpellier, Montpellier, France; IGF, Univ. Montpellier, CNRS, INSERM, Montpellier, France; Fondation FondaMental, France
| | - Philippe Courtet
- Department of Emergency Psychiatry and Acute Care, Lapeyronie Hospital CHU Montpellier, Montpellier, France; IGF, Univ. Montpellier, CNRS, INSERM, Montpellier, France; Fondation FondaMental, France
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Chu K, Cadar D, Iob E, Frank P. Excess body weight and specific types of depressive symptoms: Is there a mediating role of systemic low-grade inflammation? Brain Behav Immun 2023; 108:233-244. [PMID: 36462595 PMCID: PMC10567582 DOI: 10.1016/j.bbi.2022.11.016] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Revised: 11/25/2022] [Accepted: 11/26/2022] [Indexed: 12/02/2022] Open
Abstract
OBJECTIVES Obesity is associated with an increased risk of depression. Systemic low-grade inflammation, a plausible consequence of obesity, has also been linked to depression. However, the potential mediating effects of systemic low-grade inflammation on the association between excess body weight and specific symptom domains of depression remain uncertain. This study examined whether systemic low-grade inflammation mediated the associations of excess body weight (overweight and obesity) with subsequent overall, cognitive-affective, and somatic depressive symptoms. DESIGN This study used a prospective cohort design. METHODS The final analytical sample included 4,942 adults aged ≥50 years drawn from the English Longitudinal Study of Ageing (ELSA). Body mass index (BMI) and covariates were ascertained at baseline (wave 4, 2008/09). Continuous BMI scores were divided into four categories: 'normal weight' (18.5 ≤ BMI <25 kg/m2); 'overweight' (25 ≤ BMI <30 kg/m2); 'obesity' (BMI ≥30 kg/m2); in addition to 'excess body weight' ('overweight' and 'obesity' combined). Covariates included sociodemographic variables, behavioural factors, and chronic physical conditions. Serum concentrations of CRP were measured at wave 6 (2012/13). Depressive symptoms were assessed at baseline and ten years later (wave 9, 2018/19), using the 8-item Centre for Epidemiological Studies Depression (CES-D) Scale. Two symptom domains were constructed, distinguishing between cognitive-affective (depressed mood, loneliness, sadness, enjoyment in life, and happiness) and somatic (sleep problems, low energy levels, and fatigue) symptoms. Mediation analyses were performed to examine whether CRP statistically mediated the associations between BMI categories and depressive symptoms. RESULTS In multivariable-adjusted analyses, excess body weight was associated with elevated somatic (OR = 1.231, 95% CI: 1.029, 1.473), but not cognitive-affective or overall depressive symptoms at follow-up. Higher CRP was associated with elevated somatic (OR = 1.156, 95% CI: 1.061, 1.259), but not cognitive-affective or overall depressive symptoms. CRP acted as a partial mediator (14.92%) of the association between excess body weight and elevated somatic, but not cognitive-affective, or overall depressive symptoms. CONCLUSION Systemic low-grade inflammation may partially explain the association of excess body weight with somatic depressive symptoms, but not the associations with cognitive-affective or overall depressive symptoms.
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Affiliation(s)
- Keqin Chu
- Department of Behavioural Science and Health, University College London, London, UK.
| | - Dorina Cadar
- Department of Behavioural Science and Health, University College London, London, UK; Brighton and Sussex Medical School, Brighton, East Sussex, UK.
| | - Eleonora Iob
- Social, Genetic & Developmental Psychiatry (SGDP) Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
| | - Philipp Frank
- Department of Behavioural Science and Health, University College London, London, UK.
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Huang MH, Chan YLE, Chen MH, Hsu JW, Huang KL, Li CT, Tsai SJ, Su TP, Bai YM. A longitudinal study of the association between pro-inflammatory cytokines and mood symptoms in bipolar disorder. Acta Psychiatr Scand 2023; 147:81-91. [PMID: 36217267 DOI: 10.1111/acps.13508] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Revised: 09/20/2022] [Accepted: 10/06/2022] [Indexed: 11/29/2022]
Abstract
BACKGROUND Because of a relative dearth of longitudinal studies, the directionality of the relationship between mood and inflammation among patients with bipolar disorder (BD) is still unclear. We aimed to investigate the longitudinal associations of pro-inflammatory markers with mood symptom severity in BD. METHODS Hundred and thirty-two adult patients with BD were enrolled. At the baseline and 1-year follow-up visit, all participants received mood assessment with Montgomery Åsberg depression rating scale (MADRS) and Young mania rating scale, and underwent blood draws to quantify metabolic profile and serum levels of the pro-inflammatory markers, including soluble interleukin-6 receptor, soluble tumor necrosis factor-α receptor type 1 (sTNF-αR1), monocyte chemoattractant protein-1, and C-reactive protein. A four-factor model of MADRS, consisting of sadness, negative thoughts, detachment, and neurovegetative symptoms, were applied. RESULTS At baseline, 65 patients with BD were in depressed state, and 67 patients with BD were in euthymic state. Among patients in depressed state, baseline MADRS total score positively correlated with sTNF-αR1 level at follow-up. While baseline sTNF-αR1 level positively predicted sadness symptom in euthymic patients with BD who later developed depression (n = 22), sadness in patients with bipolar depression predicted later increase in serum sTNF-αR1 level even after remission (n = 17). Moreover, lithium had a stronger effect of lowering peripheral sTNF-αR1 level as compared with other mood stabilizers. CONCLUSION Our results indicate the bidirectional inflammation-depression relationship in BD.
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Affiliation(s)
- Mao-Hsuan Huang
- Department of Psychiatry, Taipei Veterans General Hospital, Yuanshan and Suao Branch, Ilan, Taiwan.,Division of Psychiatry, Faculty of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.,Institute of Brain Science, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Yee-Lam E Chan
- Department of Psychiatry, General Cheng Hsin Hospital, Taipei, Taiwan
| | - Mu-Hong Chen
- Division of Psychiatry, Faculty of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.,Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Ju-Wei Hsu
- Division of Psychiatry, Faculty of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.,Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Kai-Lin Huang
- Division of Psychiatry, Faculty of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.,Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Cheng-Ta Li
- Division of Psychiatry, Faculty of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.,Institute of Brain Science, National Yang Ming Chiao Tung University, Taipei, Taiwan.,Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Shih-Jen Tsai
- Division of Psychiatry, Faculty of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.,Institute of Brain Science, National Yang Ming Chiao Tung University, Taipei, Taiwan.,Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Tung-Ping Su
- Division of Psychiatry, Faculty of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.,Institute of Brain Science, National Yang Ming Chiao Tung University, Taipei, Taiwan.,Department of Psychiatry, General Cheng Hsin Hospital, Taipei, Taiwan
| | - Ya-Mei Bai
- Division of Psychiatry, Faculty of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.,Institute of Brain Science, National Yang Ming Chiao Tung University, Taipei, Taiwan.,Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan
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Serafini G, Costanza A, Aguglia A, Amerio A, Trabucco A, Escelsior A, Sher L, Amore M. The Role of Inflammation in the Pathophysiology of Depression and Suicidal Behavior: Implications for Treatment. Med Clin North Am 2023; 107:1-29. [PMID: 36402492 DOI: 10.1016/j.mcna.2022.09.001] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Depression and suicidal behavior are 2 complex psychiatric conditions of significant public health concerns due to their debilitating nature. The need to enhance contemporary treatments and preventative approaches for these illnesses not only calls for distillation of current views on their pathogenesis but also provides an impetus for further elucidation of their novel etiological determinants. In this regard, inflammation has recently been recognized as a potentially important contributor to the development of depression and suicidal behavior. This review highlights key evidence that supports the presence of dysregulated neurometabolic and immunologic signaling and abnormal interaction with microbial species as putative etiological hallmarks of inflammation in depression as well as their contribution to the development of suicidal behavior. Furthermore, therapeutic insights addressing candidate mechanisms of pathological inflammation in these disorders are proposed.
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Affiliation(s)
- Gianluca Serafini
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health DINOGMI, Section of Psychiatry, University of Genoa, Genoa, Italy; IRCCS Ospedale Policlinico San Martino, Largo Rosanna Benzi 10, Genoa 16132, Italy.
| | - Alessandra Costanza
- Department of Psychiatry, Faculty of Medicine, University of Geneva (UNIGE), Geneva, Switzerland, Faculty of Biomedical Sciences, Università della Svizzera Italiana (USI), Lugano, Switzerland; Department of Psychiatry, Faculty of Biomedical Sciences, University of Italian Switzerland (USI), Lugano, Switzerland
| | - Andrea Aguglia
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health DINOGMI, Section of Psychiatry, University of Genoa, Genoa, Italy; IRCCS Ospedale Policlinico San Martino, Largo Rosanna Benzi 10, Genoa 16132, Italy
| | - Andrea Amerio
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health DINOGMI, Section of Psychiatry, University of Genoa, Genoa, Italy; IRCCS Ospedale Policlinico San Martino, Largo Rosanna Benzi 10, Genoa 16132, Italy
| | - Alice Trabucco
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health DINOGMI, Section of Psychiatry, University of Genoa, Genoa, Italy
| | - Andrea Escelsior
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health DINOGMI, Section of Psychiatry, University of Genoa, Genoa, Italy; IRCCS Ospedale Policlinico San Martino, Largo Rosanna Benzi 10, Genoa 16132, Italy
| | - Leo Sher
- James J. Peters VA Medical Center, Bronx, NY, USA; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Psychiatry, New York, NY, USA
| | - Mario Amore
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health DINOGMI, Section of Psychiatry, University of Genoa, Genoa, Italy; IRCCS Ospedale Policlinico San Martino, Largo Rosanna Benzi 10, Genoa 16132, Italy
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Alshehri T, Mook- Kanamori DO, Willems van Dijk K, Dinga R, Penninx BWJH, Rosendaal FR, le Cessie S, Milaneschi Y. Metabolomics dissection of depression heterogeneity and related cardiometabolic risk. Psychol Med 2023; 53:248-257. [PMID: 34078486 PMCID: PMC9874986 DOI: 10.1017/s0033291721001471] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/10/2020] [Revised: 03/09/2021] [Accepted: 04/06/2021] [Indexed: 02/04/2023]
Abstract
BACKGROUND A recent hypothesis postulates the existence of an 'immune-metabolic depression' (IMD) dimension characterized by metabolic dysregulations. Combining data on metabolomics and depressive symptoms, we aimed to identify depressions associated with an increased risk of adverse metabolic alterations. METHOD Clustering data were from 1094 individuals with major depressive disorder in the last 6 months and measures of 149 metabolites from a 1H-NMR platform and 30 depressive symptoms (IDS-SR30). Canonical correlation analyses (CCA) were used to identify main independent metabolite-symptom axes of variance. Then, for the replication, we examined the association of the identified dimensions with metabolites from the same platform and cardiometabolic diseases in an independent population-based cohort (n = 6572). RESULTS CCA identified an overall depression dimension and a dimension resembling IMD, in which symptoms such as sleeping too much, increased appetite, and low energy level had higher relative loading. In the independent sample, the overall depression dimension was associated with lower cardiometabolic risk, such as (i.e. per s.d.) HOMA-1B -0.06 (95% CI -0.09 - -0.04), and visceral adipose tissue -0.10 cm2 (95% CI -0.14 - -0.07). In contrast, the IMD dimension was associated with well-known cardiometabolic diseases such as higher visceral adipose tissue 0.08 cm2 (95% CI 0.04-0.12), HOMA-1B 0.06 (95% CI 0.04-0.09), and lower HDL-cholesterol levels -0.03 mmol/L (95% CI -0.05 - -0.01). CONCLUSIONS Combining metabolomics and clinical symptoms we identified a replicable depression dimension associated with adverse metabolic alterations, in line with the IMD hypothesis. Patients with IMD may be at higher cardiometabolic risk and may benefit from specific treatment targeting underlying metabolic dysregulations.
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Affiliation(s)
- Tahani Alshehri
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Dennis O. Mook- Kanamori
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
- Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, The Netherlands
| | - Ko Willems van Dijk
- Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands
- Department of Internal Medicine, Division of Endocrinology, Leiden University Medical Center, Leiden, The Netherlands
| | - Richard Dinga
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
| | - Brenda W. J. H. Penninx
- Department of Psychiatry, Amsterdam Public Health Research Institute, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit, The Netherlands
| | - Frits R. Rosendaal
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Saskia le Cessie
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
- Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands
| | - Yuri Milaneschi
- Department of Psychiatry, Amsterdam Public Health Research Institute, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit, The Netherlands
- GGZ inGeest, Research & Innovation, Amsterdam, The Netherlands
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Is depression the missing link between inflammatory mediators and cancer? Pharmacol Ther 2022; 240:108293. [PMID: 36216210 DOI: 10.1016/j.pharmthera.2022.108293] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Revised: 09/14/2022] [Accepted: 09/26/2022] [Indexed: 11/05/2022]
Abstract
Patients with cancer are at greater risk of developing depression in comparison to the general population and this is associated with serious adverse effects, such as poorer quality of life, worse prognosis and higher mortality. Although the relationship between depression and cancer is now well established, a common underlying pathophysiological mechanism between the two conditions is yet to be elucidated. Existing theories of depression, based on monoamine neurotransmitter system dysfunction, are insufficient as explanations of the disorder. Recent advances have implicated neuroinflammatory mechanisms in the etiology of depression and it has been demonstrated that inflammation at a peripheral level may be mirrored centrally in astrocytes and microglia serving to promote chronic levels of inflammation in the brain. Three major routes to depression in cancer in which proinflammatory mediators are implicated, seem likely. Activation of the kynurenine pathway involving cytokines, increases tryptophan catabolism, resulting in diminished levels of serotonin which is widely acknowledged as being the hallmark of depression. It also results in neurotoxic effects on brain regions thought to be involved in the evolution of major depression. Proinflammatory mediators also play a crucial role in impairing regulatory glucocorticoid mediated feedback of the hypothalamic-pituitary-adrenal axis, which is activated by stress and considered to be involved in both depression and cancer. The third route is via the glutamatergic pathway, whereby glutamate excitotoxicity may lead to depression associated with cancer. A better understanding of the mechanisms underlying these dysregulated and other newly emerging pathways may provide a rationale for therapeutic targeting, serving to improve the care of cancer patients.
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Gialluisi A, Bracone F, Costanzo S, Santonastaso F, Di Castelnuovo A, Orlandi S, Magnacca S, De Curtis A, Cerletti C, Donati MB, de Gaetano G, Iacoviello L. Role of leukocytes, gender, and symptom domains in the influence of depression on hospitalization and mortality risk: Findings from the Moli-sani study. Front Psychiatry 2022; 13:959171. [PMID: 36311535 PMCID: PMC9606761 DOI: 10.3389/fpsyt.2022.959171] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Accepted: 09/13/2022] [Indexed: 11/17/2022] Open
Abstract
Background Major depressive disorder is a mental illness associated with chronic conditions like cardiovascular disease (CVD). Circulating inflammation has been proposed as a potential mechanism underlying this link, although the role of specific biomarkers, gender, and symptom domains is not well elucidated. Methods We performed multivariable Cox regressions of first hospitalization/all-cause mortality and CVD, ischemic heart (IHD), and cerebrovascular disease (CeVD) causes vs. depression severity in an Italian population cohort (N = 13,191; age ≥ 35 years; 49.3% men; 4,856 hospitalizations and 471 deaths, median follow-up 7.28 and 8.24 years, respectively). In models adjusted for age, sex, and socioeconomic status, we estimated the proportion of association explained by C-reactive protein (CRP), platelet count, granulocyte-to-lymphocyte ratio (GLR), and white blood cell count (WBC). Gender-by-depression interaction and gender-stratified analyses were performed. Associations of polychoric factors tagging somatic and cognitive symptoms with incident clinical risks were also tested, as well as the proportion explained by a composite index of circulating inflammation (INFLA score). Results Significant proportions of the influence of depression on clinical risks were explained by CRP (4.8% on IHD hospitalizations), GLR (11% on all-cause mortality), and WBC (24% on IHD/CeVD hospitalizations). Gender-by-depression interaction was significantly associated only with all-cause mortality (p = 0.03), with moderate depression showing a + 60% increased risk in women, but not in men. Stable associations of somatic, but not of cognitive, symptoms with increased hospitalization risk were observed (+ 16% for all causes, + 14% for CVD causes), with INFLA score explaining small but significant proportions of these associations (2.5% for all causes, 8.6% for IHD causes). Conclusions These findings highlight the importance of cellular components of inflammation, gender, and somatic depressive symptoms in the link between depression and clinical (especially CVD) risks, pointing to the existence of additional pathways through which depression may play a detrimental effect on the cardiovascular system.
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Affiliation(s)
- Alessandro Gialluisi
- EPIMED Research Center, Department of Medicine and Surgery, University of Insubria, Varese, Italy
- Department of Epidemiology and Prevention, IRCCS NEUROMED, Pozzilli, Italy
| | - Francesca Bracone
- Department of Epidemiology and Prevention, IRCCS NEUROMED, Pozzilli, Italy
| | - Simona Costanzo
- Department of Epidemiology and Prevention, IRCCS NEUROMED, Pozzilli, Italy
| | - Federica Santonastaso
- EPIMED Research Center, Department of Medicine and Surgery, University of Insubria, Varese, Italy
| | | | - Sabatino Orlandi
- Department of Epidemiology and Prevention, IRCCS NEUROMED, Pozzilli, Italy
| | | | - Amalia De Curtis
- Department of Epidemiology and Prevention, IRCCS NEUROMED, Pozzilli, Italy
| | - Chiara Cerletti
- Department of Epidemiology and Prevention, IRCCS NEUROMED, Pozzilli, Italy
| | | | | | - Licia Iacoviello
- EPIMED Research Center, Department of Medicine and Surgery, University of Insubria, Varese, Italy
- Department of Epidemiology and Prevention, IRCCS NEUROMED, Pozzilli, Italy
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Frank P, Jokela M, Batty GD, Lassale C, Steptoe A, Kivimäki M. Overweight, obesity, and individual symptoms of depression: A multicohort study with replication in UK Biobank. Brain Behav Immun 2022; 105:192-200. [PMID: 35853559 PMCID: PMC10499756 DOI: 10.1016/j.bbi.2022.07.009] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Accepted: 07/14/2022] [Indexed: 12/18/2022] Open
Abstract
OBJECTIVES Obesity is associated with increased risk of depression, but the extent to which this association is symptom-specific is unknown. We examined the associations of overweight and obesity with individual depressive symptoms. METHODS We pooled data from 15 population-based cohorts comprising 57,532 individuals aged 18 to 100 years at study entry. Primary analyses were replicated in an independent cohort, the UK Biobank study (n = 122,341, age range 38 to 72). Height and weight were assessed at baseline and body mass index (BMI) was computed. Using validated self-report measures, 24 depressive symptoms were ascertained once in 16 cross-sectional, and twice in 7 prospective cohort studies (mean follow-up 3.2 years). RESULTS In the pooled analysis of the primary cohorts, 22,045 (38.3 %) participants were overweight (BMI between 25 and 29.9 kg/m2), 12,025 (20.9 %) class I obese (BMI between 30 and 34.9 kg/m2), 7,467 (13.0 %) class II-III obese (BMI ≥ 35 kg/m2); and 7,046 (12.3 %) were classified as depressed. After multivariable adjustment, obesity class I was cross-sectionally associated with 1.11-fold (95 % confidence interval 1.01-1.22), and obesity class II-III with 1.31-fold (1.16-1.49) higher odds of overall depression. In symptom-specific analyses, robust associations were apparent for 4 of the 24 depressive symptoms ('could not get going/lack of energy', 'little interest in doing things', 'feeling bad about yourself, and 'feeling depressed'), with confounder-adjusted odds ratios of having 3 or 4 of these symptoms being 1.32 (1.10-1.57) for individuals with obesity class I, and 1.70 (1.34-2.14) for those with obesity class II-III. Elevated C-reactive protein and 21 obesity-related diseases explained 23 %-31 % of these associations. Symptom-specific associations were confirmed in longitudinal analyses where obesity preceded symptom onset, were stronger in women compared with men, and were replicated in UK Biobank. CONCLUSIONS Obesity is associated with a distinct set of depressive symptoms. These associations are partially explained by systemic inflammation and obesity-related morbidity. Awareness of this obesity-related symptom profile and its underlying biological correlates may inform better targeted treatments for comorbid obesity and depression.
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Affiliation(s)
- Philipp Frank
- Research Department of Epidemiology and Public Health, University College London, 1-19 Torrington Place, WC1E 6BT London, UK; Research Department of Behavioural Science and Health, University College, London, 1-19 Torrington Place, WC1E 7HB London, UK.
| | - Markus Jokela
- Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Haartmaninkatu 3, Helsinki 00290, Finland.
| | - G David Batty
- Research Department of Epidemiology and Public Health, University College London, 1-19 Torrington Place, WC1E 6BT London, UK.
| | - Camille Lassale
- Hospital del Mar Research Institute (IMIM), Dr Aiguader 88, 08003 Barcelona, Spain.
| | - Andrew Steptoe
- Research Department of Behavioural Science and Health, University College, London, 1-19 Torrington Place, WC1E 7HB London, UK.
| | - Mika Kivimäki
- Research Department of Epidemiology and Public Health, University College London, 1-19 Torrington Place, WC1E 6BT London, UK; Clinicum, Faculty of Medicine, University of Helsinki, Tukholmankatu 8 B, FI-00014 Helsinki, Finland.
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Zhang Y, Xie Y, Huang L, Zhang Y, Li X, Fang Q, Wang Q. Association of Sleep Duration and Self-Reported Insomnia Symptoms with Metabolic Syndrome Components among Middle-Aged and Older Adults. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:11637. [PMID: 36141918 PMCID: PMC9517288 DOI: 10.3390/ijerph191811637] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/30/2022] [Revised: 09/08/2022] [Accepted: 09/09/2022] [Indexed: 06/16/2023]
Abstract
The study aimed to explore the association between sleep duration, insomnia symptoms and the components of metabolic syndrome (MetS) among middle-aged and older adults. A cross-sectional study was conducted in five community health centers and physical check-up centers of two comprehensive hospitals in Guangdong. We recruited 1252 participants (658 female), aged 40-96 years and with a body mass index (BMI) of 16.26-35.56 kg/m2. MetS was assessed based on the guidelines of the International Diabetes Federation. Self-reported sleep duration was evaluated by a simplified questionnaire. Compared with the participants who slept 6-8 h/day, those who slept shorter (<6 h/day) or longer (>8 h/day) periods of time with or without insomnia symptoms had significantly increased odds ratios (ORs) of high blood pressure (except for the SBP in model 2) and high triglycerides (TGs) in all models (p < 0.05), whereas the participants who slept longer (>8 h/day) or shorter (<6 h/day) periods of time with insomnia symptoms had significantly increased ORs of low HDL-C in all models (p < 0.05), but non-significant in those without insomnia symptoms. BMI is significant for insomnia symptoms but not for sleep duration. Our study indicated that the association of sleep duration with MetS components was partially associated with insomnia symptoms. These findings have significant implications to explore the appropriate sleep duration for adults.
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Affiliation(s)
- Yuting Zhang
- Health Science Centre, Shenzhen University, Shenzhen 518060, China
| | - Yingcai Xie
- Department of Endocrinology, Affiliated Hospital of Guangdong Medical University, Zhanjiang 524000, China
| | - Lingling Huang
- Health Science Centre, Shenzhen University, Shenzhen 518060, China
| | - Yan Zhang
- Health Science Centre, Shenzhen University, Shenzhen 518060, China
| | - Xilin Li
- Health Science Centre, Shenzhen University, Shenzhen 518060, China
| | - Qiyu Fang
- Health Science Centre, Shenzhen University, Shenzhen 518060, China
| | - Qun Wang
- Health Science Centre, Shenzhen University, Shenzhen 518060, China
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Associations of somatic depressive symptoms with body mass index, systemic inflammation, and insulin resistance in primary care patients with depression. J Behav Med 2022; 45:882-893. [PMID: 36074315 DOI: 10.1007/s10865-022-00356-9] [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: 02/24/2022] [Accepted: 08/05/2022] [Indexed: 10/14/2022]
Abstract
The somatic depressive symptom cluster (including appetite and sleep disturbances) is more strongly associated with insulin resistance (a diabetes risk marker) than other depressive symptom clusters. Utilizing baseline data from 129 primary care patients with depression but no diabetes in the eIMPACT trial (Mage = 59 years, 78% female, 50% Black), we examined associations of somatic depressive symptoms with insulin resistance (HOMA-IR), body mass index (BMI), and high-sensitivity C-reactive protein (hsCRP). We tested BMI and hsCRP as mediators and race as a moderator of these relationships. Hyperphagia was positively associated HOMA-IR (β = 0.19, p = .048) and BMI (β = 0.30, p < .001); poor appetite was negatively associated with HOMA-IR (β = -0.24, p = .02); hypersomnia was positively associated with HOMA-IR (β = 0.28, p = .003), BMI (β = 0.26, p = .003), and hsCRP (β = 0.23, p = .01); and disturbed sleep was positively associated with hsCRP (β = 0.21, p = .04). BMI partially mediated hyperphagia and hypersomnia's associations with HOMA-IR; hsCRP partially mediated the hypersomnia-HOMA-IR association; and race moderated the hyperphagia-HOMA-IR association (positive for White participants but null for Black participants). People with depression experiencing hyperphagia and/or hypersomnia may be a subgroup with greater insulin resistance; BMI and hsCRP are likely pathways in these relationships. This study highlights the importance of considering the direction of somatic depressive symptoms in the context of cardiometabolic disease risk.
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Loureirin C and Xanthoceraside Attenuate Depression-Like Behaviors and Expression of Interleukin-17 in the Prefrontal Cortex Induced by Chronic Unpredictable Mild Stress in Mice. Neurochem Res 2022; 47:2880-2889. [DOI: 10.1007/s11064-022-03692-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Revised: 07/10/2022] [Accepted: 07/12/2022] [Indexed: 10/16/2022]
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Foiselle M, Barbosa S, Godin O, Wu CL, Boukouaci W, Andre M, Aouizerate B, Berna F, Barau C, Capdevielle D, Vidailhet P, Chereau I, Davidovic L, Dorey JM, Dubertret C, Dubreucq J, Faget C, Fond G, Leigner S, Llorca PM, Mallet J, Misdrahi D, Martinuzzi E, Passerieux C, Rey R, Pignon B, Urbach M, Schürhoff F, Glaichenhaus N, Leboyer M, Tamouza R. Immuno-metabolic profile of patients with psychotic disorders and metabolic syndrome. Results from the FACE-SZ cohort. Brain Behav Immun Health 2022; 22:100436. [PMID: 35469211 PMCID: PMC9034311 DOI: 10.1016/j.bbih.2022.100436] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Accepted: 02/26/2022] [Indexed: 11/30/2022] Open
Abstract
Background Metabolic syndrome (MetS) is a highly prevalent and harmful medical disorder often comorbid with psychosis where it can contribute to cardiovascular complications. As immune dysfunction is a key shared component of both MetS and schizophrenia (SZ), this study investigated the relationship between immune alterations and MetS in patients with SZ, whilst controlling the impact of confounding clinical characteristics including psychiatric symptoms and comorbidities, history of childhood maltreatment and psychotropic treatments. Method A total of 310 patients meeting DSM-IV criteria for SZ or schizoaffective disorders (SZA), with or without MetS, were systematically assessed and included in the FondaMental Advanced Centers of Expertise for Schizophrenia (FACE-SZ) cohort. Detailed clinical characteristics of patients, including psychotic symptomatology, psychiatric comorbidities and history of childhood maltreatment were recorded and the serum levels of 18 cytokines were measured. A penalized regression method was performed to analyze associations between inflammation and MetS, whilst controlling for confounding factors. Results Of the total sample, 25% of patients had MetS. Eight cytokines were above the lower limit of detection (LLOD) in more than 90% of the samples and retained in downstream analysis. Using a conservative Variable Inclusion Probability (VIP) of 75%, we found that elevated levels of interleukin (IL)-6, IL-7, IL-12/23 p40 and IL-16 and lower levels of tumor necrosis factor (TNF)-α were associated with MetS. As for clinical variables, age, sex, body mass index (BMI), diagnosis of SZ (not SZA), age at the first episode of psychosis (FEP), alcohol abuse, current tobacco smoking, and treatment with antidepressants and anxiolytics were all associated with MetS. Conclusion We have identified five cytokines associated with MetS in SZ suggesting that patients with psychotic disorders and MetS are characterized by a specific “immuno-metabolic” profile. This may help to design tailored treatments for this subgroup of patients with both psychotic disorders and MetS, taking one more step towards precision medicine in psychiatry.
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Affiliation(s)
- Marianne Foiselle
- Univ Paris Est Créteil, INSERM U955, IMRB, Translational NeuroPsychiatry Laboratory, F-94010, Créteil, France
- AP-HP, Hôpitaux Universitaires Henri Mondor, Département Médico-Universitaire de Psychiatrie et d’Addictologie (DMU IMPACT), Fédération Hospitalo-Universitaire de Médecine de Précision en Psychiatrie (FHU ADAPT), F-94010, France
- Fondation FondaMental, France
| | - Susana Barbosa
- Université Côte d’Azur, Centre National de la Recherche Scientifique, Institut de Pharmacologie Moléculaire et Cellulaire, Valbonne, France
| | - Ophélia Godin
- Univ Paris Est Créteil, INSERM U955, IMRB, Translational NeuroPsychiatry Laboratory, F-94010, Créteil, France
- AP-HP, Hôpitaux Universitaires Henri Mondor, Département Médico-Universitaire de Psychiatrie et d’Addictologie (DMU IMPACT), Fédération Hospitalo-Universitaire de Médecine de Précision en Psychiatrie (FHU ADAPT), F-94010, France
- Fondation FondaMental, France
| | - Ching-Lien Wu
- AP-HP, Hôpitaux Universitaires Henri Mondor, Département Médico-Universitaire de Psychiatrie et d’Addictologie (DMU IMPACT), Fédération Hospitalo-Universitaire de Médecine de Précision en Psychiatrie (FHU ADAPT), F-94010, France
- Fondation FondaMental, France
| | - Wahid Boukouaci
- AP-HP, Hôpitaux Universitaires Henri Mondor, Département Médico-Universitaire de Psychiatrie et d’Addictologie (DMU IMPACT), Fédération Hospitalo-Universitaire de Médecine de Précision en Psychiatrie (FHU ADAPT), F-94010, France
- Fondation FondaMental, France
| | - Myrtille Andre
- Fondation FondaMental, France
- Service Universitaire de Psychiatrie Adulte, Hôpital la Colombière, CHRU Montpellier, Université Montpellier 1, Inserm 1061, Montpellier, France
| | - Bruno Aouizerate
- Fondation FondaMental, France
- Centre Hospitalier Charles Perrens, Université de Bordeaux, Bordeaux, F-33076, France
- INRAE, NutriNeuro, University of Bordeaux, U1286, Bordeaux, F-33076, France
| | - Fabrice Berna
- Fondation FondaMental, France
- Hôpitaux Universitaires de Strasbourg, Université de Strasbourg, INSERM U1114, Fédération de Médecine Translationnelle de Strasbourg, Strasbourg, France
| | - Caroline Barau
- APHP, Hôpital Henri Mondor, Plateforme de Ressources Biologiques, France
| | - Delphine Capdevielle
- Fondation FondaMental, France
- Service Universitaire de Psychiatrie Adulte, Hôpital la Colombière, CHRU Montpellier, Université Montpellier 1, Inserm 1061, Montpellier, France
| | - Pierre Vidailhet
- Fondation FondaMental, France
- Hôpitaux Universitaires de Strasbourg, Université de Strasbourg, INSERM U1114, Fédération de Médecine Translationnelle de Strasbourg, Strasbourg, France
| | - Isabelle Chereau
- Fondation FondaMental, France
- CHU Clermont-Ferrand, Department of Psychiatry, University of Clermont Auvergne, EA 7280, Clermont-Ferrand, France
| | - Laetitia Davidovic
- Université Côte d’Azur, Centre National de la Recherche Scientifique, Institut de Pharmacologie Moléculaire et Cellulaire, Valbonne, France
| | - Jean-Michel Dorey
- Fondation FondaMental, France
- INSERM U1028, CNRS UMR5292, Centre de Recherche en Neurosciences de Lyon, Université Claude Bernard Lyon 1, Equipe PSYR2, Centre Hospitalier Le Vinatier, France
| | - Caroline Dubertret
- Fondation FondaMental, France
- AP-HP, Groupe Hospitalo-Universitaire AP-HP Nord, service de Psychiatrie et Addictologie, Hopital Louis Mourier, Colombes, France
- Université de Paris INSERM UMR1266, Institute of Psychiatry and Neuroscience of Paris, France
| | - Julien Dubreucq
- Fondation FondaMental, France
- Centre Référent de Réhabilitation Psychosociale et de Remédiation Cognitive (C3R), CH Alpes Isère, France
| | - Catherine Faget
- Fondation FondaMental, France
- AP-HM, Aix-Marseille Univ, School of Medicine - La Timone Medical Campus, EA 3279, CEReSS - Health Service Research and Quality of Life Center, Marseille, France
| | - Guillaume Fond
- Fondation FondaMental, France
- AP-HM, Aix-Marseille Univ, School of Medicine - La Timone Medical Campus, EA 3279, CEReSS - Health Service Research and Quality of Life Center, Marseille, France
| | - Sylvain Leigner
- Fondation FondaMental, France
- Centre Référent de Réhabilitation Psychosociale et de Remédiation Cognitive (C3R), CH Alpes Isère, France
| | - Pierre-Michel Llorca
- Fondation FondaMental, France
- APHP, Hôpital Henri Mondor, Plateforme de Ressources Biologiques, France
| | - Jasmina Mallet
- Fondation FondaMental, France
- AP-HP, Groupe Hospitalo-Universitaire AP-HP Nord, service de Psychiatrie et Addictologie, Hopital Louis Mourier, Colombes, France
- Université de Paris INSERM UMR1266, Institute of Psychiatry and Neuroscience of Paris, France
| | - David Misdrahi
- Fondation FondaMental, France
- Department of Adult Psychiatry, Charles Perrens Hospital, Bordeaux, France
- University of Bordeaux, CNRS UMR 5287-INCIA « Neuroimagerie et cognition humaine », France
| | - Emanuela Martinuzzi
- Université Côte d’Azur, Centre National de la Recherche Scientifique, Institut de Pharmacologie Moléculaire et Cellulaire, Valbonne, France
| | - Christine Passerieux
- Fondation FondaMental, France
- Service Universitaire de psychiatrie et d'addictologie du Centre Hospitalier de Versailles, INSERM UMR1018, CESP, Team “DevPsy”, Université de Versailles Saint-Quentin-en-Yvelines, Paris, Saclay, France
| | - Romain Rey
- Fondation FondaMental, France
- INSERM U1028, CNRS UMR5292, Centre de Recherche en Neurosciences de Lyon, Université Claude Bernard Lyon 1, Equipe PSYR2, Centre Hospitalier Le Vinatier, France
| | - Baptiste Pignon
- Univ Paris Est Créteil, INSERM U955, IMRB, Translational NeuroPsychiatry Laboratory, F-94010, Créteil, France
- AP-HP, Hôpitaux Universitaires Henri Mondor, Département Médico-Universitaire de Psychiatrie et d’Addictologie (DMU IMPACT), Fédération Hospitalo-Universitaire de Médecine de Précision en Psychiatrie (FHU ADAPT), F-94010, France
- Fondation FondaMental, France
| | - Mathieu Urbach
- Fondation FondaMental, France
- Service Universitaire de psychiatrie et d'addictologie du Centre Hospitalier de Versailles, INSERM UMR1018, CESP, Team “DevPsy”, Université de Versailles Saint-Quentin-en-Yvelines, Paris, Saclay, France
| | - Franck Schürhoff
- Univ Paris Est Créteil, INSERM U955, IMRB, Translational NeuroPsychiatry Laboratory, F-94010, Créteil, France
- AP-HP, Hôpitaux Universitaires Henri Mondor, Département Médico-Universitaire de Psychiatrie et d’Addictologie (DMU IMPACT), Fédération Hospitalo-Universitaire de Médecine de Précision en Psychiatrie (FHU ADAPT), F-94010, France
- Fondation FondaMental, France
| | - Nicolas Glaichenhaus
- Université Côte d’Azur, Centre National de la Recherche Scientifique, Institut de Pharmacologie Moléculaire et Cellulaire, Valbonne, France
| | - Marion Leboyer
- Univ Paris Est Créteil, INSERM U955, IMRB, Translational NeuroPsychiatry Laboratory, F-94010, Créteil, France
- AP-HP, Hôpitaux Universitaires Henri Mondor, Département Médico-Universitaire de Psychiatrie et d’Addictologie (DMU IMPACT), Fédération Hospitalo-Universitaire de Médecine de Précision en Psychiatrie (FHU ADAPT), F-94010, France
- Fondation FondaMental, France
- Corresponding author. Département Hospitalo-Universitaire de Psychiatrie, Hôpital Albert Chenevier, 40 rue de Mesly, Créteil, 94000, France.
| | - Ryad Tamouza
- Univ Paris Est Créteil, INSERM U955, IMRB, Translational NeuroPsychiatry Laboratory, F-94010, Créteil, France
- AP-HP, Hôpitaux Universitaires Henri Mondor, Département Médico-Universitaire de Psychiatrie et d’Addictologie (DMU IMPACT), Fédération Hospitalo-Universitaire de Médecine de Précision en Psychiatrie (FHU ADAPT), F-94010, France
- Fondation FondaMental, France
- Corresponding author. Département Hospitalo-Universitaire de Psychiatrie, Hôpital Albert Chenevier, 40 rue de Mesly, Créteil, 94000, France.
| | - the FACE-SZ (FondaMental Academic Centers of Expertise for Schizophrenia) GroupsBernaF.sHaffenE.sLeboyerM.sLlorcaP.M.sSchürhoffF.sBarteauV.tBensalemS.tGodinO.tLaouamriH.tSouryisK.tLeboyerM.uvOfferlin-MeyerI.uvPignonB.uvSchürhoffF.uvSzökeA.uvAouizerateB.wxDelogeA.wyMisdrahiD.wyVilàE.wyBlancO.zChéreauI.zDenizotH.zHonciucR.M.zLacelleD.zLlorcaP.M.zPiresS.zDubertretC.aaMalletJ.aaPortalierC.aaDubreucqJ.abFluttazC.abGabayetF.abRomanC.abChesnoy-ServaninG.acD'AmatoT.acDoreyJ.M.acReyR.acVehierA.acLançonC.adFagetC.adMetairieE.adPeriP.adVaillantF.adBoyerL.aeafFondG.aeafBernaF.agVidailhetP.agZinetti-BertschyA.agCapdevielleD.ahYazbekH.ahEsselinS.aiajakJarroirM.aiajakPasserieuxC.aiajakUrbachM.aiajakFACE-SZ Clinical Coordinating Center (Fondation FondaMental), FranceFACE-SZ Data Coordinating Center (Fondation FondaMental), FranceFACE-SZ Clinical Sites and Principal Collaborators in France, FranceAP-HP, INSERM U955, Translational Psychiatry Team, DHU Pe-PSY, Centre Expert Schizophrénie, Pôle de Psychiatrie et d’Addictologie des Hôpitaux Universitaires Henri Mondor, Paris Est University, 40 rue de Mesly, 94000, Créteil, FranceDepartment of Adult Psychiatry, Charles Perrens Hospital, F-33076, Bordeaux, FranceLaboratory of Nutrition and Integrative Neurobiology (UMR INRA 1286), University of Bordeaux, FranceUniversity of Bordeaux, CNRS UMR 5287-INCIA, Bordeaux, FranceCHU Clermont-Ferrand, Department of Psychiatry (service de psychatrie B), University of Clermont Auvergne, Clermont-Ferrand, FranceAP-HP, Department of Psychiatry, Louis Mourier Hospital, Colombes, Inserm UMR1266, Institute of Psychiatry and Neurosciences of Paris, University Paris Descartes, Université Paris Diderot, Sorbonne Paris Cité, Faculté de médecine, FrancePsychosocial Rehabilitation Reference Center, Alpes Isère Hospital, Grenoble, FranceUniversity Claude Bernard Lyon 1, Le Vinatier Hospital Pole Est BP 300 39, 95 bd Pinel, 69678, Bron Cedex, FranceDepartment of Psychiatry (AP-HM), Sainte-Marguerite University Hospital, Marseille, FranceAP-HM, la Conception Hospital, Aix-Marseille Univ, School of medicine - La Timone Medical Campus, EA 3279, FranceCEReSS - Health Service Research, FranceStrasbourg University Hospital, University of Strasbourg, INSERM U1114, Federation of Translational Psychiatry, Strasbourg, FranceUniversity Department of Adult Psychiatry, La Colombiere Hospital, CHU Montpellier, University of Montpellier 1, Inserm 1061, Montpellier, FranceDepartment of Adult Psychiatry, Versailles Hospital, Le Chesnay, FranceHandiRESP and Quality of Life Center, 27 Boulevard Jean Moulin, 13005, Marseille, FranceFrance Laboratory, EA4047, UFR Health Sciences Simone Veil, Université de Versailles Saint-Quentin-En-Yvelines, Montigny-le-Bretonneux, France
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48
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Chae WR, Nübel J, Baumert J, Gold SM, Otte C. Association of depression and obesity with C-reactive protein in Germany: A large nationally representative study. Brain Behav Immun 2022; 103:223-231. [PMID: 35491003 DOI: 10.1016/j.bbi.2022.04.024] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Revised: 04/08/2022] [Accepted: 04/26/2022] [Indexed: 10/18/2022] Open
Abstract
INTRODUCTION Depression and obesity often occur comorbidly, and once both are present, they further increase the risk of developing other medical comorbidities, likely due to the underlying chronic low-grade inflammation. We investigated to what extent depression and obesity are associated with levels of high-sensitivity C-reactive protein (hsCRP) in a nationally representative sample of the German adult population. METHODS We analyzed data from the German Health Interview and Examination Survey for Adults (DEGS1, N = 7115), and its mental health module (DEGS1-MH; N = 4483). Two different depression measures were used: current depressive symptoms assessed by the self-administered German version of the Patient Health Questionnaire-9 and major depressive disorder (MDD) in the last 12 months assessed by a modified German version of the Composite International Diagnostic Interview. Obesity was defined by body mass index calculated from measured data. Associations with log(x + 1)-transformed hsCRP levels were analyzed using multivariable linear regression models. RESULTS Obese participants with depressive symptoms had significantly higher hsCRP compared to non-obese participants with depressive symptoms adjusted for sociodemographic and behavioral variables and medication use. In non-obese individuals, depressive symptoms were inversely associated with hsCRP, whereas MDD was not associated with hsCRP after adjustment for covariates. Additional analyses suggested symptom-specific associations of hsCRP as higher levels were linked to fatigue (β = 0.10, p <.001) while lower levels were linked to cognitive problems (β = -0.09, p <.001). Low SES, current smoking, lower levels of physical exercise, and the use of anti-inflammatory/anti-rheumatic medication and antidepressants were additional determinants of hsCRP in the fully adjusted models. CONCLUSIONS Our data suggest that obesity status is more strongly associated with increased inflammation than depressive symptoms or MDD. The relationship between depression and hsCRP in our population-based sample is substantially influenced by obesity status as well as other medical factors, lifestyle, and socioeconomic status. Furthermore, our findings suggest that the association between hsCRP and depression is symptom-specific rather than generalized.
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Affiliation(s)
- Woo Ri Chae
- Charité -Universitätsmedizin Berlin, Department of Psychiatry and Psychotherapy, Campus Benjamin Franklin, Berlin, Germany.
| | - Julia Nübel
- Robert-Koch Institute, Department of Epidemiology and Health Monitoring, Berlin, Germany
| | - Jens Baumert
- Robert-Koch Institute, Department of Epidemiology and Health Monitoring, Berlin, Germany
| | - Stefan M Gold
- Charité -Universitätsmedizin Berlin, Department of Psychiatry and Psychotherapy, Campus Benjamin Franklin, Berlin, Germany; Charité - Universitätsmedizin Berlin, Medical Department, Section of Psychosomatic Medicine, Berlin, Germany; Institute of Neuroimmunology and Multiple Sclerosis (INIMS), Center for Molecular Neurobiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Christian Otte
- Charité -Universitätsmedizin Berlin, Department of Psychiatry and Psychotherapy, Campus Benjamin Franklin, Berlin, Germany
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49
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Brydges CR, Bhattacharyya S, Dehkordi SM, Milaneschi Y, Penninx B, Jansen R, Kristal BS, Han X, Arnold M, Kastenmüller G, Bekhbat M, Mayberg HS, Craighead WE, Rush AJ, Fiehn O, Dunlop BW, Kaddurah-Daouk R. Metabolomic and inflammatory signatures of symptom dimensions in major depression. Brain Behav Immun 2022; 102:42-52. [PMID: 35131442 PMCID: PMC9241382 DOI: 10.1016/j.bbi.2022.02.003] [Citation(s) in RCA: 37] [Impact Index Per Article: 18.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Revised: 01/25/2022] [Accepted: 02/01/2022] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Major depressive disorder (MDD) is a highly heterogenous disease, both in terms of clinical profiles and pathobiological alterations. Recently, immunometabolic dysregulations were shown to be correlated with atypical, energy-related symptoms but less so with the Melancholic or Anxious distress symptom dimensions of depression in The Netherlands Study of Depression and Anxiety (NESDA) study. In this study, we aimed to replicate these immunometabolic associations and to characterize the metabolomic correlates of each of the three MDD dimensions. METHODS Using three clinical rating scales, Melancholic, and Anxious distress, and Immunometabolic (IMD) dimensions were characterized in 158 patients who participated in the Predictors of Remission to Individual and Combined Treatments (PReDICT) study and from whom plasma and serum samples were available. The NESDA-defined inflammatory index, a composite measure of interleukin-6 and C-reactive protein, was measured from pre-treatment plasma samples and a metabolomic profile was defined using serum samples analyzed on three metabolomics platforms targeting fatty acids and complex lipids, amino acids, acylcarnitines, and gut microbiome-derived metabolites among other metabolites of central metabolism. RESULTS The IMD clinical dimension and the inflammatory index were positively correlated (r = 0.19, p = 0.019) after controlling for age, sex, and body mass index, whereas the Melancholic and Anxious distress dimensions were not, replicating the previous NESDA findings. The three symptom dimensions had distinct metabolomic signatures using both univariate and set enrichment statistics. IMD severity correlated mainly with gut-derived metabolites and a few acylcarnitines and long chain saturated free fatty acids. Melancholia severity was significantly correlated with several phosphatidylcholines, primarily the ether-linked variety, lysophosphatidylcholines, as well as several amino acids. Anxious distress severity correlated with several medium and long chain free fatty acids, both saturated and polyunsaturated ones, sphingomyelins, as well as several amino acids and bile acids. CONCLUSION The IMD dimension of depression appears reliably associated with markers of inflammation. Metabolomics provides powerful tools to inform about depression heterogeneity and molecular mechanisms related to clinical dimensions in MDD, which include a link to gut microbiome and lipids implicated in membrane structure and function.
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Affiliation(s)
| | - Sudeepa Bhattacharyya
- Arkansas Biosciences Institute, Department of Biological Sciences, Arkansas State University, AR, USA
| | | | - Yuri Milaneschi
- Amsterdam UMC / GGZ inGeest Research & Innovation, Amsterdam, Netherlands
| | - Brenda Penninx
- Department of Psychiatry, Amsterdam UMC, Vrije Universiteit Amsterdam, Netherlands
| | - Rick Jansen
- Department of Psychiatry, Amsterdam UMC, Vrije Universiteit Amsterdam, Netherlands; Department of Amsterdam Public Health Research Institute and Amsterdam Neuroscience, Amsterdam, the Netherlands
| | - Bruce S Kristal
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA; Division of Sleep Medicine, Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Xianlin Han
- University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - Matthias Arnold
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA; Institute of Computational Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Gabi Kastenmüller
- Institute of Computational Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Mandakh Bekhbat
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | - Helen S Mayberg
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA; Department of Neurology and Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - W Edward Craighead
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA; Department of Psychology, Emory University, Atlanta, GA, USA
| | - A John Rush
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA; Department of Psychiatry, Health Sciences Center, Texas Tech University, Permian Basin, TX, USA; Duke-National University of Singapore, Singapore
| | - Oliver Fiehn
- West Coast Metabolomics Center, University of California, Davis, USA
| | - Boadie W Dunlop
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | - Rima Kaddurah-Daouk
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA; Department of Medicine, Duke University, Durham, NC, USA; Duke Institute of Brain Sciences, Duke University, Durham, NC, USA.
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50
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Noori T, Sureda A, Sobarzo-Sánchez E, Shirooie S. The Role of Natural Products in Treatment of Depressive Disorder. Curr Neuropharmacol 2022; 20:929-949. [PMID: 34979889 PMCID: PMC9881107 DOI: 10.2174/1570159x20666220103140834] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2021] [Revised: 11/09/2021] [Accepted: 11/26/2021] [Indexed: 11/22/2022] Open
Abstract
Depressive disorder is one of the most common psychiatric syndromes that, if left untreated, can cause many disturbances in a person's life. Numerous factors are involved in depression, including inflammation, brain-derived neurotrophic factor (BDNF), GABAergic system, hypothalamic- pituitary-adrenal (HPA) Axis, monoamine neurotransmitters (serotonin (5-HT), noradrenaline, and dopamine). Common treatments for depression are selective serotonin reuptake inhibitors, tricyclic antidepressants, and monoamine oxidase inhibitors, but these drugs have several side effects such as anxiety, diarrhea, constipation, weight loss, and sexual dysfunctions. These agents only reduce the symptoms and temporarily reduce the rate of cognitive impairment associated with depression. As a result, extensive research has recently been conducted on the potential use of antidepressant and sedative herbs. According to the available data, herbs used in traditional medicine can be significantly effective in reducing depression, depressive symptoms and improving patients' performance. The present study provides a summary of biomarkers and therapeutic goals of depression and shows that natural products such as saffron or genipin have antidepressant effects. Some of the useful natural products and their mechanisms were evaluated. Data on various herbs and natural isolated compounds reported to prevent and reduce depressive symptoms is also discussed.
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Affiliation(s)
- Tayebeh Noori
- Pharmaceutical Sciences Research Center, Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Antoni Sureda
- Research Group on Community Nutrition and Oxidative Stress (NUCOX) and Health Research Institute of Balearic Islands (IdISBa), University of Balearic Islands-IUNICS, Palma de Mallorca E-07122, Balearic Islands, Spain;,CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
| | - Eduardo Sobarzo-Sánchez
- Instituto de Investigación y Postgrado, Facultad de Ciencias de la Salud, Universidad Central de Chile; Chile;,Department of Organic Chemistry, Faculty of Pharmacy, University of Santiago de Compostela, Santiago, Spain
| | - Samira Shirooie
- Pharmaceutical Sciences Research Center, Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran;,Address correspondence to this author at the Pharmaceutical Sciences Research Center, Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran; E-mail:
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