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Jiang C, Lin B, Ye X, Yu Y, Xu P, Peng C, Mou T, Yu X, Zhao H, Zhao M, Li Y, Zhang S, Chen X, Pan F, Shang D, Jin K, Lu J, Chen J, Yin J, Huang M. Graph convolutional network with attention mechanism improve major depressive depression diagnosis based on plasma biomarkers and neuroimaging data. J Affect Disord 2024; 360:336-344. [PMID: 38824965 DOI: 10.1016/j.jad.2024.05.136] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2024] [Revised: 05/15/2024] [Accepted: 05/26/2024] [Indexed: 06/04/2024]
Abstract
BACKGROUND The absence of clinically-validated biomarkers or objective protocols hinders effective major depressive disorder (MDD) diagnosis. Compared to healthy control (HC), MDD exhibits anomalies in plasma protein levels and neuroimaging presentations. Despite extensive machine learning studies in psychiatric diagnosis, a reliable tool integrating multi-modality data is still lacking. METHODS In this study, blood samples from 100 MDD and 100 HC were analyzed, along with MRI images from 46 MDD and 49 HC. Here, we devised a novel algorithm, integrating graph neural networks and attention modules, for MDD diagnosis based on inflammatory cytokines, neurotrophic factors, and Orexin A levels in the blood samples. Model performance was assessed via accuracy and F1 value in 3-fold cross-validation, comparing with 9 traditional algorithms. We then applied our algorithm to a dataset containing both the aforementioned protein quantifications and neuroimages, evaluating if integrating neuroimages into the model improves performance. RESULTS Compared to HC, MDD showed significant alterations in plasma protein levels and gray matter volume revealed by MRI. Our new algorithm exhibited superior performance, achieving an F1 value and accuracy of 0.9436 and 94.08 %, respectively. Integration of neuroimaging data enhanced our novel algorithm's performance, resulting in an improved F1 value and accuracy, reaching 0.9543 and 95.06 %. LIMITATIONS This single-center study with a small sample size requires future evaluations on a larger test set for improved reliability. CONCLUSIONS In comparison to traditional machine learning models, our newly developed MDD diagnostic model exhibited superior performance and showed promising potential for inclusion in routine clinical diagnosis for MDD.
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Affiliation(s)
- Chaonan Jiang
- Department of Psychiatry, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China; The Key Laboratory of Mental Disorder Management in Zhejiang Province, Hangzhou 310003, China
| | - Bo Lin
- Department of Innovation Centre for Information, Binjiang Institute of Zhejiang University, Hangzhou 310053, China; School of Software Technology, Zhejiang University, Ningbo 315048, China
| | - Xinyi Ye
- Department of Psychiatry, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China; The Key Laboratory of Mental Disorder Management in Zhejiang Province, Hangzhou 310003, China
| | - Yiran Yu
- Management of Science with Artificial Intelligence, University of Nottingham Ningbo China, 315048, China
| | - Pengfeng Xu
- Department of Psychiatry, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China; The Key Laboratory of Mental Disorder Management in Zhejiang Province, Hangzhou 310003, China
| | - Chenxu Peng
- Department of Innovation Centre for Information, Binjiang Institute of Zhejiang University, Hangzhou 310053, China
| | - Tingting Mou
- Department of Psychiatry, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China; The Key Laboratory of Mental Disorder Management in Zhejiang Province, Hangzhou 310003, China
| | - Xinjian Yu
- Quantitative and Computational Biosciences Graduate Program, Baylor College of Medicine, Houston, TX 77030, USA
| | - Haoyang Zhao
- Department of Psychiatry, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China; The Key Laboratory of Mental Disorder Management in Zhejiang Province, Hangzhou 310003, China
| | - Miaomiao Zhao
- Department of Psychiatry, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China; The Key Laboratory of Mental Disorder Management in Zhejiang Province, Hangzhou 310003, China
| | - Ying Li
- Department of Psychiatry, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China; The Key Laboratory of Mental Disorder Management in Zhejiang Province, Hangzhou 310003, China
| | - Shiyi Zhang
- Department of Psychiatry, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China; The Key Laboratory of Mental Disorder Management in Zhejiang Province, Hangzhou 310003, China
| | - Xuanqiang Chen
- Department of Psychiatry, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China; The Key Laboratory of Mental Disorder Management in Zhejiang Province, Hangzhou 310003, China
| | - Fen Pan
- Department of Psychiatry, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China; The Key Laboratory of Mental Disorder Management in Zhejiang Province, Hangzhou 310003, China
| | - Desheng Shang
- Department of Radiology, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China
| | - Kangyu Jin
- Department of Psychiatry, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China; The Key Laboratory of Mental Disorder Management in Zhejiang Province, Hangzhou 310003, China
| | - Jing Lu
- Department of Psychiatry, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China; The Key Laboratory of Mental Disorder Management in Zhejiang Province, Hangzhou 310003, China
| | - Jingkai Chen
- Department of Psychiatry, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China
| | - Jianwei Yin
- College of Computer Science and Technology, Zhejiang University, Hangzhou 310003, China
| | - Manli Huang
- Department of Psychiatry, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China; The Key Laboratory of Mental Disorder Management in Zhejiang Province, Hangzhou 310003, China.
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Harel M, Amiaz R, Raizman R, Leibovici A, Golan Y, Mesika D, Bodini R, Tsarfaty G, Weiser M, Livny A. Distinct homotopic functional connectivity patterns of the amygdalar sub-regions as biomarkers in major depressive disorder. J Affect Disord 2024; 365:285-292. [PMID: 39134155 DOI: 10.1016/j.jad.2024.08.023] [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: 12/07/2023] [Revised: 07/10/2024] [Accepted: 08/09/2024] [Indexed: 08/25/2024]
Abstract
BACKGROUND Major depressive disorder (MDD) affects multiple functional neural networks. Neuroimaging studies using resting-state functional connectivity (FC) have focused on the amygdala but did not assess changes in connectivity between the left and right amygdala. The current study aimed to examine the inter-hemispheric functional connectivity (homotopic FC, HoFC) between different amygdalar sub-regions in patients with MDD compared to healthy controls, and to examine whether amygdalar sub-regions' HoFC also predicts response to Serotonin Selective Reuptake Inhibitors (SSRIs). METHOD Sixty-seven patients with MDD and 64 matched healthy controls were recruited. An MRI scan focusing on resting state fMRI and clinical and cognitive evaluations were performed. An atlas seed-based approach was used to identify the lateral and medial sub-regions of the amygdala. HoFC of these sub-regions was compared between groups and correlated with severity of depression, and emotional processing performance. Baseline HoFC levels were used to predict response to SSRIs after 2 months of treatment. RESULTS Patients with MDD demonstrated decreased inter-hemispheric FC in the medial (F3,120 = 4.11, p = 0.008, η2 = 0.096) but not in the lateral (F3,119 = 0.29, p = 0.82, η2 = 0.008) amygdala compared with healthy controls. The inter-hemispheric FC of the medial sub-region correlated with symptoms severity (r = -0.33, p < 0.001) and emotional processing performance (r = 0.38, p < 0.001). Moreover, it predicted treatment response to SSRIs 65.4 % of the cases. LIMITATIONS The current study did not address FC changes in MDD biotypes. In addition, structural connectivity was not examined. CONCLUSIONS Using a unique perspective of the amygdalar distinct areas elucidated differential inter-hemispheric FC patterns in MDD patients, emphasizing the role of interhemispheric communication in depression.
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Affiliation(s)
- Maayan Harel
- Division of Diagnostic Imaging, Sheba Medical Center, Tel-Hashomer, Israel
| | - Revital Amiaz
- Department of Psychiatry, Sheba Medical Center, Tel-Hashomer, Israel; Department of Psychiatry, Faculty of Medical & Health Sciences, Tel-Aviv University, Tel-Aviv, Israel
| | - Reut Raizman
- Division of Diagnostic Imaging, Sheba Medical Center, Tel-Hashomer, Israel; Department of Anatomy and Anthropology, Faculty of Medical & Health Sciences, Tel-Aviv University, Tel-Aviv, Israel
| | - Anat Leibovici
- Division of Diagnostic Imaging, Sheba Medical Center, Tel-Hashomer, Israel
| | - Yael Golan
- Division of Diagnostic Imaging, Sheba Medical Center, Tel-Hashomer, Israel; Department of Psychology, Bar Ilan University, Ramat Gan, Israel
| | - David Mesika
- Division of Diagnostic Imaging, Sheba Medical Center, Tel-Hashomer, Israel
| | - Raffaella Bodini
- Division of Diagnostic Imaging, Sheba Medical Center, Tel-Hashomer, Israel
| | - Galia Tsarfaty
- Division of Diagnostic Imaging, Sheba Medical Center, Tel-Hashomer, Israel
| | - Mark Weiser
- Department of Psychiatry, Sheba Medical Center, Tel-Hashomer, Israel; Department of Psychiatry, Faculty of Medical & Health Sciences, Tel-Aviv University, Tel-Aviv, Israel
| | - Abigail Livny
- Division of Diagnostic Imaging, Sheba Medical Center, Tel-Hashomer, Israel; Department of Imaging, Faculty of Medical & Health Sciences, Tel-Aviv, Israel; Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel.
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Xiao H, Cao Y, Lizano P, Li M, Sun H, Zhou X, Deng G, Li J, Chand T, Jia Z, Qiu C, Walter M. Interleukin-1β moderates the relationships between middle frontal-mACC/insular connectivity and depressive symptoms in bipolar II depression. Brain Behav Immun 2024; 120:44-53. [PMID: 38777282 DOI: 10.1016/j.bbi.2024.05.029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/26/2024] [Revised: 05/02/2024] [Accepted: 05/19/2024] [Indexed: 05/25/2024] Open
Abstract
The functional alterations of the brain in bipolar II depression (BDII-D) and their clinical and inflammatory associations are understudied. We aim to investigate the functional brain alterations in BDII-D and their relationships with inflammation, childhood adversity, and psychiatric symptoms, and to examine the moderating effects among these factors. Using z-normalized amplitude of low-frequency fluctuation (zALFF), we assessed the whole-brain resting-state functional activity between 147 BDII-D individuals and 150 healthy controls (HCs). Differential ALFF regions were selected as seeds for functional connectivity analysis to observe brain connectivity alterations resulting from abnormal regional activity. Four inflammatory cytokines including interleukin (IL)-6, IL-1β, tumor necrosis factor (TNF)-α, and C-reactive protein (CRP) and five clinical scales including Hamilton Depression Scale (HAMD), Hamilton Anxiety Scale (HAMA), Positive and Negative Syndrome Scale (PANSS), Columbia-Suicide Severity Rating Scale (C-SSRS), and Childhood Trauma Questionnaire (CTQ) were tested and assessed in BDII-D. Partial correlations with multiple comparison corrections identified relationships between brain function and inflammation, childhood adversity, and psychiatric symptoms. Moderation analysis was conducted based on correlation results and previous findings. Compared to HCs, BDII-D individuals displayed significantly lower zALFF in the superior and middle frontal gyri (SFG and MFG) and insula, but higher zALFF in the occipital-temporal area. Only the MFG and insula-related connectivity exhibited significant differences between groups. Within BDII-D, lower right insula zALFF value correlated with higher IL-6, CRP, and emotional adversity scores, while lower right MFG zALFF was related to higher CRP and physical abuse scores. Higher right MFG-mid-anterior cingulate cortex (mACC) connectivity was associated with higher IL-1β. Moreover, IL-1β moderated associations between higher right MFG-mACC/insula connectivity and greater depressive symptoms. This study reveals that abnormal functional alterations in the right MFG and right insula were associated with elevated inflammation, childhood adversity, and depressive symptoms in BDII-D. IL-1β may moderate the relationship between MFG-related connectivity and depressive symptoms.
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Affiliation(s)
- Hongqi Xiao
- Mental Health Center, West China Hospital of Sichuan University, Chengdu 610041, China
| | - Yuan Cao
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena 07743, Germany; Department of Nuclear Medicine, West China Hospital of Sichuan University, Chengdu 610041, China; Center for Intervention and Research on adaptive and maladaptive brain Circuits underlying mental health (C-I-R-C), Halle-Jena-Magdeburg, Germany; Clinical Affective Neuroimaging Laboratory (CANLAB), Leipziger Str. 44, Building 65, 39120 Magdeburg, Germany
| | - Paulo Lizano
- The Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA; Division of Translational Neuroscience, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA; The Department of Psychiatry, Harvard Medical School, Boston, MA 02215, USA
| | - Meng Li
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena 07743, Germany; Center for Intervention and Research on adaptive and maladaptive brain Circuits underlying mental health (C-I-R-C), Halle-Jena-Magdeburg, Germany; Clinical Affective Neuroimaging Laboratory (CANLAB), Leipziger Str. 44, Building 65, 39120 Magdeburg, Germany
| | - Huan Sun
- Mental Health Center, West China Hospital of Sichuan University, Chengdu 610041, China
| | - Xiaoqin Zhou
- Department of Clinical Research Management, West China Hospital of Sichuan University, Chengdu 610041, PR China
| | - Gaoju Deng
- Mental Health Center, West China Hospital of Sichuan University, Chengdu 610041, China
| | - Jiafeng Li
- Mental Health Center, West China Hospital of Sichuan University, Chengdu 610041, China
| | - Tara Chand
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena 07743, Germany; Department of Clinical Psychology, Friedrich Schiller University Jena, Am Steiger 3-1, 07743 Jena, Germany; Jindal Institute of Behavioural Sciences, O. P. Jindal Global University (Sonipat), Haryana, India
| | - Zhiyun Jia
- Department of Nuclear Medicine, West China Hospital of Sichuan University, Chengdu 610041, China.
| | - Changjian Qiu
- Mental Health Center, West China Hospital of Sichuan University, Chengdu 610041, China.
| | - Martin Walter
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena 07743, Germany; German Center for Mental Health (DZPG), partner site Halle-Jena-Magdeburg, Germany; Center for Intervention and Research on adaptive and maladaptive brain Circuits underlying mental health (C-I-R-C), Halle-Jena-Magdeburg, Germany; Clinical Affective Neuroimaging Laboratory (CANLAB), Leipziger Str. 44, Building 65, 39120 Magdeburg, Germany
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Guan L, Liu R, Wang C, Fan Q, Zhou J, Wang Y, Feng Y, Liu J, Zhou Y, Wang G, Chen X. Abnormal resting-state functional connectivity in subregions of amygdala in adults and adolescents with major depressive disorder. BMC Psychiatry 2024; 24:540. [PMID: 39085839 PMCID: PMC11293025 DOI: 10.1186/s12888-024-05977-9] [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: 10/06/2023] [Accepted: 07/22/2024] [Indexed: 08/02/2024] Open
Abstract
BACKGROUND The different symptoms of major depressive disorder (MDD) in adolescents compared to adults suggested there may be differences in the pathophysiology between adolescents and adults with MDD. However, despite the amygdala being considered critical in the pathophysiology, there was limited knowledge about the commonalities and differences in the resting-state functional connectivity (rsFC) of amygdala subregions in MDD patients of different age groups. METHODS In the current study, 65 adolescents (46 with MDD and 19 controls) and 91 adults (35 with MDD and 56 controls) were included. A seed-based functional connectivity analysis was performed for each of the amygdala subregions. A 2 × 2 ANOVA was used to analyze the main effect of age, diagnosis, and their interaction on the rsFC of each subregion. RESULTS A significant main effect of age was revealed in the rsFC of bilateral centromedial (CM) subregions and right laterobasal (LB) subregion with several brain regions in the limbic system and frontoparietal network. The significant main effect of diagnosis showed MDD patients of different ages showed higher connectivity than controls between the right LB and left middle frontal gyrus (MFG). CONCLUSIONS The rsFC of specific amygdala subregions with brain regions in the limbic system and frontoparietal network is affected by age, indicating a distinct amygdala connectivity profile in adolescents. The decreased rsFC between the right LB and the left MFG in adolescents and adults with MDD could serve as a diagnostic biomarker and a target of nonpharmacological treatment for MDD.
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Affiliation(s)
- Lin Guan
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
- Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Rui Liu
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
- Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Changshuo Wang
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Qingchen Fan
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Jingjing Zhou
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
- Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Yun Wang
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
- Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Yuan Feng
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
- Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Jing Liu
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
- Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Yuan Zhou
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
- Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Gang Wang
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China.
- Beijing Anding Hospital, Capital Medical University, Beijing, China.
| | - Xu Chen
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China.
- Beijing Anding Hospital, Capital Medical University, Beijing, China.
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Nascimento C, Villela Nunes P, Paraizo Leite RE, Grinberg LT, Suemoto CK, Lafer B. The relationship of neuropsychiatric symptoms with inflammatory markers in the hippocampus and cingulate cortex of bipolar disorder subjects: A post-mortem study. J Psychiatr Res 2024; 173:25-33. [PMID: 38479345 PMCID: PMC11037553 DOI: 10.1016/j.jpsychires.2024.03.001] [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: 10/16/2023] [Revised: 01/24/2024] [Accepted: 03/01/2024] [Indexed: 04/17/2024]
Abstract
Increased levels of inflammation markers have been found in the peripheral tissue of individuals with bipolar disorder (BD), especially during mood episodes. Previous studies found distinctive inflammatory profiles across different brain regions, but potential associations with clinical symptoms are still lacking. This study aims to evaluate the association of neuropsychiatric symptoms with inflammatory markers in the hippocampus and cingulate of individuals with BD. Levels of IL-1β, IL-6, IL-17A, cortisol, and C-reactive protein (CRP) were measured in the hippocampus and anterior cingulate of 14 BD individuals and their non-psychiatric controls. Neuropsychiatric symptoms present in the three months before death were assessed using the Neuropsychiatric Inventory (NPI). In the BD group, greater NPI scores were associated with higher IL-6 in the hippocampus (p = 0.011) and cingulate (p = 0.038) and higher IL-1β (p = 0.039) in the hippocampus. After adjusting for age, sex and CDR, IL-1β and IL-6 were still associated with higher NPI in the hippocampus. In correlation analysis considering both BD and their controls, moderate positive associations were found between NPI and IL-6 and cortisol in the hippocampus (p < 0.001 and p = 0.006) and cingulate (p = 0.024 and p = 0.016), IL-1β (p < 0.001) and IL-17A in the hippocampus (p = 0.002). No difference in inflammatory markers was found according to type of psychotropic medication used. Hence, in individuals with BD, neuropsychiatric symptoms were differently associated with specific inflammatory cytokines and CRP in the hippocampus and cingulate. These results suggest that the neuroinflammatory changes occurring in BD may be more complex than previously expected and could be associated with clinical manifestations.
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Affiliation(s)
- Camila Nascimento
- Bipolar Disorder Program (PROMAN), Department of Psychiatry, University of Sao Paulo Medical School, Sao Paulo, SP, Brazil; Federal University of Sao Paulo - School of Medicine, Department of Biochemistry, Discipline of Molecular Biology, Sao Paulo, SP, Brazil.
| | - Paula Villela Nunes
- Bipolar Disorder Program (PROMAN), Department of Psychiatry, University of Sao Paulo Medical School, Sao Paulo, SP, Brazil; Memory and Aging Center University of California, Department of Neurology, San Francisco, USA
| | - Renata Elaine Paraizo Leite
- Biobank for Aging Studies, LIM-22, Department of Pathology, University of São Paulo Medical School, Sao Paulo, SP, Brazil
| | - Lea Tenenholz Grinberg
- Biobank for Aging Studies, LIM-22, Department of Pathology, University of São Paulo Medical School, Sao Paulo, SP, Brazil; Memory and Aging Center University of California, Department of Neurology, San Francisco, USA
| | - Claudia Kimie Suemoto
- Biobank for Aging Studies, LIM-22, Department of Pathology, University of São Paulo Medical School, Sao Paulo, SP, Brazil
| | - Beny Lafer
- Bipolar Disorder Program (PROMAN), Department of Psychiatry, University of Sao Paulo Medical School, Sao Paulo, SP, Brazil
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Fernández-Pereira C, Penedo MA, Alonso-Núñez A, Rivera-Baltanás T, Viéitez I, Prieto-González JM, Vilariño-Vilariño MI, Olivares JM, Ortolano S, Agís-Balboa RC. Plasma IGFBP-3 and IGFBP-5 levels are decreased during acute manic episodes in bipolar disorder patients. Front Pharmacol 2024; 15:1384198. [PMID: 38720780 PMCID: PMC11076695 DOI: 10.3389/fphar.2024.1384198] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2024] [Accepted: 03/14/2024] [Indexed: 05/12/2024] Open
Abstract
Introduction: Bipolar disorder (BD) is a recurrent and disabling psychiatric disorder related to low-grade peripheral inflammation and altered levels of the members of the insulin-like growth factor (IGF) family. The aim of this study was to evaluate the plasma levels of IGF-2, insulin-like growth factor-binding protein 1 (IGFBP-1), IGFBP-3, IGFBP-5, IGFBP-7, and inflammatory markers such as tumor necrosis factor α (TNF-α), monocyte chemoattractant protein 1 (MCP-1), and macrophage inflammatory protein 1β (MIP-1β). Methods: We used the Young Mania Rating Scale (YMRS) to determine the severity of the symptomatology, while proteins were measured by enzyme-linked immunosorbent assay (ELISA). We included 20 patients with BD who suffered a manic episode and 20 controls. Some BD patients (n = 10) were evaluated after a period (17 ± 8 days) of pharmacological treatment. Results: No statistical difference was found in IGF-2, IGFBP-1, IGFBP-7, TNF-α, and MIP-1β levels. However, IGFBP-3 and IGFBP-5 levels were found to be statistically decreased in BD patients. Conversely, the MCP-1 level was significantly increased in BD patients, but their levels were normalized after treatment. Intriguingly, only IGFBP-1 levels were significantly decreased after treatment. No significant correlation was found between the YMRS and any of the proteins studied either before or after treatment or between IGF proteins and inflammatory markers. Discussion: To some extent, IGFBP-3 and IGFBP-5 might be further explored as potential indicators of treatment responsiveness or diagnosis biomarkers in BD.
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Affiliation(s)
- Carlos Fernández-Pereira
- Translational Neuroscience Group, Galicia Sur Health Research Institute (IIS Galicia Sur), Área Sanitaria de Vigo-Hospital Álvaro Cunqueiro, SERGAS-UVIGO, CIBERSAM-ISCIII, Vigo, Spain
- Neuro Epigenetics Lab, Health Research Institute of Santiago de Compostela (IDIS), Santiago University Hospital Complex, Santiago de Compostela, Spain
- Rare Disease and Pediatric Medicine Group, Galicia Sur Health Research Institute (IIS Galicia Sur), Servizo Galego de Saúde-Universidade de Vigo (SERGAS-UVIGO), Vigo, Spain
- Translational Research in Neurological Diseases Group, Health Research Institute of Santiago de Compostela (IDIS), Santiago University Hospital Complex, SERGAS-USC, Santiago de Compostela, Spain
| | - Maria Aránzazu Penedo
- Translational Neuroscience Group, Galicia Sur Health Research Institute (IIS Galicia Sur), Área Sanitaria de Vigo-Hospital Álvaro Cunqueiro, SERGAS-UVIGO, CIBERSAM-ISCIII, Vigo, Spain
| | - Adrián Alonso-Núñez
- Rare Disease and Pediatric Medicine Group, Galicia Sur Health Research Institute (IIS Galicia Sur), Servizo Galego de Saúde-Universidade de Vigo (SERGAS-UVIGO), Vigo, Spain
| | - Tania Rivera-Baltanás
- Translational Neuroscience Group, Galicia Sur Health Research Institute (IIS Galicia Sur), Área Sanitaria de Vigo-Hospital Álvaro Cunqueiro, SERGAS-UVIGO, CIBERSAM-ISCIII, Vigo, Spain
| | - Irene Viéitez
- Rare Disease and Pediatric Medicine Group, Galicia Sur Health Research Institute (IIS Galicia Sur), Servizo Galego de Saúde-Universidade de Vigo (SERGAS-UVIGO), Vigo, Spain
| | - José María Prieto-González
- Neuro Epigenetics Lab, Health Research Institute of Santiago de Compostela (IDIS), Santiago University Hospital Complex, Santiago de Compostela, Spain
- Translational Research in Neurological Diseases Group, Health Research Institute of Santiago de Compostela (IDIS), Santiago University Hospital Complex, SERGAS-USC, Santiago de Compostela, Spain
- Neurology Service, Santiago University Hospital Complex, Santiago de Compostela, Spain
| | - María Isabel Vilariño-Vilariño
- Physiotherapy, Medicine and Biomedical Sciences Group, Faculty of Health Sciences, University of A Coruña, A Coruña, Spain
| | - José Manuel Olivares
- Translational Neuroscience Group, Galicia Sur Health Research Institute (IIS Galicia Sur), Área Sanitaria de Vigo-Hospital Álvaro Cunqueiro, SERGAS-UVIGO, CIBERSAM-ISCIII, Vigo, Spain
| | - Saida Ortolano
- Rare Disease and Pediatric Medicine Group, Galicia Sur Health Research Institute (IIS Galicia Sur), Servizo Galego de Saúde-Universidade de Vigo (SERGAS-UVIGO), Vigo, Spain
| | - Roberto Carlos Agís-Balboa
- Neuro Epigenetics Lab, Health Research Institute of Santiago de Compostela (IDIS), Santiago University Hospital Complex, Santiago de Compostela, Spain
- Translational Research in Neurological Diseases Group, Health Research Institute of Santiago de Compostela (IDIS), Santiago University Hospital Complex, SERGAS-USC, Santiago de Compostela, Spain
- Neurology Service, Santiago University Hospital Complex, Santiago de Compostela, Spain
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Escelsior A, Inuggi A, Sterlini B, Bovio A, Marenco G, Bode J, Favilla L, Tardito S, Altosole T, Pereira da Silva B, Fenoglio D, Filaci G, Amore M, Serafini G. T-cell immunophenotype correlations with cortical thickness and white matter microstructure in bipolar disorder. J Affect Disord 2024; 348:179-190. [PMID: 38154587 DOI: 10.1016/j.jad.2023.12.054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Revised: 11/20/2023] [Accepted: 12/23/2023] [Indexed: 12/30/2023]
Abstract
BACKGROUND Inflammation and immunological alterations, such as T-cell and cytokine changes, are implicated in bipolar disorder (BD), with some evidence linking them to brain structural changes (e.g., cortical thickness (CT), gray matter (GM) volume and white matter (WM) microstructure). However, the connection between specific peripheral cell types, such as T-cells, and neuroimaging in BD remains scarcely investigated. AIMS OF THE STUDY This study aims to explore the link between T-cell immunophenotype and neuroradiological findings in BD. METHODS Our study investigated 43 type I BD subjects (22 depressive, 21 manic) and 26 healthy controls (HC), analyzing T lymphocyte immunophenotype and employing neuroimaging to assess CT for GM and fractional anisotropy (FA) for WM. RESULTS In lymphocyte populations, BD patients exhibited elevated CD4+ and CD4+ central memory (TCM) cells frequencies, but lower CD8+ effector memory (TEM) and terminal effector memory (TTEM) cells. Neuroimaging analysis revealed reduced CT in multiple brain regions in BD patients; and significant negative correlations between CD4 + TCM levels and CT of precuneus and fusiform gyrus. Tract-based spatial statistics (TBSS) analysis showed widespread alteration in WM microstructure in BD patients, with negative and positive correlations respectively between FA and radial diffusivity (RD) and CD4 + TCM. Additionally, positive and negative correlations were found respectively between FA and RD and the CD8 + TEM and CD8 + TTEM subsets. CONCLUSIONS Our research revealed distinct T lymphocyte changes and brain structure alterations in BD, underscoring possible immune-brain interactions, warranting further study and therapeutic exploration.
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Affiliation(s)
- Andrea Escelsior
- IRCCS Ospedale Policlinico San Martino, Genoa, Italy; Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, Section of Psychiatry, University of Genoa, Genoa, Italy.
| | - Alberto Inuggi
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, Section of Psychiatry, University of Genoa, Genoa, Italy.
| | - Bruno Sterlini
- Department of Experimental Medicine, University of Genoa, Genoa, Italy; Center for Synaptic Neuroscience and Technology, Istituto Italiano di Tecnologia, Genoa, Italy.
| | - Anna Bovio
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, Section of Psychiatry, University of Genoa, Genoa, Italy
| | - Giacomo Marenco
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, Section of Psychiatry, University of Genoa, Genoa, Italy
| | - Juxhin Bode
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, Section of Psychiatry, University of Genoa, Genoa, Italy
| | - Luca Favilla
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, Section of Psychiatry, University of Genoa, Genoa, Italy
| | - Samuele Tardito
- Center for Cancer & Immunology Research, Children's National Hospital, 111 Michigan Ave NW (5th floor), Washington, DC 20010, United States of America.
| | | | - Beatriz Pereira da Silva
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, Section of Psychiatry, University of Genoa, Genoa, Italy
| | - Daniela Fenoglio
- Centre of Excellence for Biomedical Research and Department of Internal Medicine, University of Genoa, 16132 Genoa, Italy; Biotherapy Unit, IRCCS Ospedale Policlinico San Martino, 16132 Genoa, Italy.
| | - Gilberto Filaci
- Centre of Excellence for Biomedical Research and Department of Internal Medicine, University of Genoa, 16132 Genoa, Italy; Biotherapy Unit, IRCCS Ospedale Policlinico San Martino, 16132 Genoa, Italy.
| | - Mario Amore
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, Section of Psychiatry, University of Genoa, Genoa, Italy.
| | - Gianluca Serafini
- IRCCS Ospedale Policlinico San Martino, Genoa, Italy; Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, Section of Psychiatry, University of Genoa, Genoa, Italy.
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Long JY, Li B, Ding P, Mei H, Li Y. Correlations between multimodal neuroimaging and peripheral inflammation in different subtypes and mood states of bipolar disorder: a systematic review. Int J Bipolar Disord 2024; 12:5. [PMID: 38388844 PMCID: PMC10884387 DOI: 10.1186/s40345-024-00327-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/02/2023] [Accepted: 02/07/2024] [Indexed: 02/24/2024] Open
Abstract
BACKGROUND Systemic inflammation-immune dysregulation and brain abnormalities are believed to contribute to the pathogenesis of bipolar disorder (BD). However, the connections between peripheral inflammation and the brain, especially the interactions between different BD subtypes and episodes, remain to be elucidated. Therefore, we conducted the present study to provide a comprehensive understanding of the complex association between peripheral inflammation and neuroimaging findings in patients with bipolar spectrum disorders. METHODS This systematic review was registered in the International Prospective Register of Systematic Reviews (PROSPERO) database (CRD42023447044) and conducted according to the Population, Intervention, Comparison, Outcomes, and Study Design (PICOS) framework. Online literature databases (PubMed, Web of Science, Scopus, EMBASE, MEDLINE, PsycINFO, and the Cochrane Library) were searched for studies that simultaneously investigated both peripheral inflammation-related factors and magnetic resonance neurography of BD patients up to July 01, 2023. Then, we analysed the correlations between peripheral inflammation and neuroimaging, as well as the variation trends and the shared and specific patterns of these correlations according to different clinical dimensions. RESULTS In total, 34 publications ultimately met the inclusion criteria for this systematic review, with 2993 subjects included. Among all patterns of interaction between peripheral inflammation and neuroimaging, the most common pattern was a positive relationship between elevated inflammation levels and decreased neuroimaging measurements. The brain regions most susceptible to inflammatory activation were the anterior cingulate cortex, amygdala, prefrontal cortex, striatum, hippocampus, orbitofrontal cortex, parahippocampal gyrus, postcentral gyrus, and posterior cingulate cortex. LIMITATIONS The small sample size, insufficiently explicit categorization of BD subtypes and episodes, and heterogeneity of the research methods limited further implementation of quantitative data synthesis. CONCLUSIONS Disturbed interactions between peripheral inflammation and the brain play a critical role in BD, and these interactions exhibit certain commonalities and differences across various clinical dimensions of BD. Our study further confirmed that the fronto-limbic-striatal system may be the central neural substrate in BD patients.
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Affiliation(s)
- Jing-Yi Long
- Wuhan Mental Health Center, No. 89, Gongnongbing Rd., Jiang'an District, Wuhan, 430012, Hubei Province, China
- Affiliated Wuhan Mental Health Center, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China
| | - Bo Li
- School of Public Administration, China University of Geosciences, Wuhan, 430074, China
| | - Pei Ding
- Wuhan Mental Health Center, No. 89, Gongnongbing Rd., Jiang'an District, Wuhan, 430012, Hubei Province, China
- Affiliated Wuhan Mental Health Center, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China
| | - Hao Mei
- Zhongnan Hospital of Wuhan University, No. 169, East Lake Rd., Wuchang District, Wuhan, 430062, Hubei Province, China.
| | - Yi Li
- Wuhan Mental Health Center, No. 89, Gongnongbing Rd., Jiang'an District, Wuhan, 430012, Hubei Province, China.
- Affiliated Wuhan Mental Health Center, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China.
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Goldsmith DR, Bekhbat M, Mehta ND, Felger JC. Inflammation-Related Functional and Structural Dysconnectivity as a Pathway to Psychopathology. Biol Psychiatry 2023; 93:405-418. [PMID: 36725140 PMCID: PMC9895884 DOI: 10.1016/j.biopsych.2022.11.003] [Citation(s) in RCA: 35] [Impact Index Per Article: 35.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 10/28/2022] [Accepted: 11/02/2022] [Indexed: 11/10/2022]
Abstract
Findings from numerous laboratories and across neuroimaging modalities have consistently shown that exogenous administration of cytokines or inflammatory stimuli that induce cytokines disrupts circuits and networks involved in motivation and motor activity, threat detection, anxiety, and interoceptive and emotional processing. While inflammatory effects on neural circuits and relevant behaviors may represent adaptive responses promoting conservation of energy and heightened vigilance during immune activation, chronically elevated inflammation may contribute to symptoms of psychiatric illnesses. Indeed, biomarkers of inflammation such as cytokines and acute phase reactants are reliably elevated in a subset of patients with unipolar or bipolar depression, anxiety-related disorders, and schizophrenia and have been associated with differential treatment responses and poor clinical outcomes. A growing body of literature also describes higher levels of endogenous inflammatory markers and altered, typically lower functional or structural connectivity within these circuits in association with transdiagnostic symptoms such as anhedonia and anxiety in psychiatric and at-risk populations. This review presents recent evidence that inflammation and its effects on the brain may serve as one molecular and cellular mechanism of dysconnectivity within anatomically and/or functionally connected cortical and subcortical regions in association with transdiagnostic symptoms. We also discuss the need to establish reproducible methods to assess inflammation-associated dysconnectivity in relation to behavior for use in translational studies or biomarker-driven clinical trials for novel pharmacological or behavioral interventions targeting inflammation or its effects on the brain.
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Affiliation(s)
- David R Goldsmith
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, Georgia
| | - Mandakh Bekhbat
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, Georgia
| | - Neeti D Mehta
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, Georgia; Neuroscience Graduate Program, Graduate Division of Biological and Biomedical Sciences, Emory University, Atlanta, Georgia
| | - Jennifer C Felger
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, Georgia; Winship Cancer Institute, Emory University, Atlanta, Georgia.
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Mehta ND, Stevens JS, Li Z, Fani N, Gillespie CF, Ravi M, Michopoulos V, Felger JC. Inflammation, amygdala-ventromedial prefrontal functional connectivity and symptoms of anxiety and PTSD in African American women recruited from an inner-city hospital: Preliminary results. Brain Behav Immun 2022; 105:122-130. [PMID: 35772683 PMCID: PMC11041384 DOI: 10.1016/j.bbi.2022.06.013] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Revised: 06/21/2022] [Accepted: 06/23/2022] [Indexed: 01/28/2023] Open
Abstract
Inflammatory stimuli have been shown to impact brain regions involved in threat detection and emotional processing including amygdala and ventromedial prefrontal cortex (vmPFC), and to increase anxiety. Biomarkers of endogenous inflammation, including inflammatory cytokines and C-reactive protein (CRP), are reliably elevated in a subset of patients with depression and anxiety-related disorders such as post-traumatic stress disorder (PTSD), and have been associated with high anxiety in population studies. We previously reported that plasma CRP and cytokines in patients with depression were negatively correlated with resting-state functional connectivity (FC) between right amygdala and vmPFC, as assessed using both ROI to voxel-wise and targeted FC approaches, in association with symptoms of anxiety, particularly in patients with comorbid anxiety disorders or PTSD. To determine whether relationships between inflammation, right amygdala-vmPFC FC, and anxiety are reproducible across patient samples and research settings, we employed an a priori, hypothesis-driven approach to examine relationships between inflammation, targeted right amygdala-vmPFC FC and anxiety in a cohort of African American (AA) women (n = 54) recruited from an inner-city hospital population reliably found to have higher levels of inflammation (median CRP ∼ 4 mg/L) as well as symptoms of anxiety, depression and PTSD. Higher concentrations of plasma CRP were associated with lower right amygdala-vmPFC FC (r = -0.32, p = 0.017), and this relationship remained significant when controlling for age, body mass index and number of lifetime trauma events experienced, as well as severity of PTSD and depression symptoms (all p < 0.05). This amygdala-vmPFC FC was similarly associated with a composite score of three inflammatory cytokines in a subset of women where plasma was available for analysis (n = 33, r = -0.33, p = 0.058; adjusted r = -0.43, p = 0.026 when controlling for covariates including PTSD and depression symptom severity). Lower right amygdala-vmPFC FC was in turn associated with higher levels of anxiety reported to be generally experienced on the State-Trait Anxiety Inventory, trait component (adjusted r = -0.32, p = 0.039 when controlling for covariates). Exploratory analyses also revealed a negative correlation between severity of childhood maltreatment and right amygdala-vmPFC FC (r = -0.32, p = 0.018) that was independent of CRP and its association with FC, as well as an association between low amygdala-vmPFC FC and severity of PTSD symptoms, specifically the re-experiencing/intrusive symptom subscale (adjusted r = -0.32, p = 0.028 when controlling for covariates). While CRP was not linearly associated with either anxiety or PTSD symptoms, CRP concentrations were higher in women reporting clinically significant anxiety or PTSD symptom severity when these symptoms were considered together (both p < 0.05), but with no interaction. These results support our primary hypothesis that higher inflammation was associated with lower amygdala-vmPFC FC, a relationship that was detected using a hypothesis-driven, targeted approach. Findings also support that this phenotype of high CRP and low vmPFC FC was observed in association with anxiety in primary analyses, as well as symptoms of PTSD in exploratory analyses, in a cohort recruited from an inner-city population of AA women enriched for high inflammation, history of trauma exposure, and symptom severity. Larger, longitudinal samples are required to fully tease apart causal relationships between inflammatory biomarkers, FC and PTSD-related symptoms in future studies.
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Affiliation(s)
- Neeti D Mehta
- Neuroscience Graduate Program, Graduate Division of Biological and Biomedical Sciences, Emory University, Atlanta, GA 30322, United States; Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA 30322, United States
| | - Jennifer S Stevens
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA 30322, United States
| | - Zhihao Li
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA 30322, United States; School of Psychology and Sociology, Shenzhen University, Shenzhen, Guangdong Sheng, 518060, China; Shenzhen Key Laboratory of Affective and Social Cognitive Science, Shenzhen University, Shenzhen, Guangdong Sheng, 518060, China
| | - Negar Fani
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA 30322, United States
| | - Charles F Gillespie
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA 30322, United States
| | - Meghna Ravi
- Neuroscience Graduate Program, Graduate Division of Biological and Biomedical Sciences, Emory University, Atlanta, GA 30322, United States; Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA 30322, United States
| | - Vasiliki Michopoulos
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA 30322, United States; Yerkes National Primate Research Center, Atlanta, GA 30322, United States.
| | - Jennifer C Felger
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA 30322, United States; Winship Cancer Institute, Emory University, Atlanta, GA 30322, United States.
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