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Al-Sharif NB, Zavaliangos-Petropulu A, Narr KL. A review of diffusion MRI in mood disorders: mechanisms and predictors of treatment response. Neuropsychopharmacology 2024:10.1038/s41386-024-01894-3. [PMID: 38902355 DOI: 10.1038/s41386-024-01894-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/08/2024] [Revised: 05/15/2024] [Accepted: 05/21/2024] [Indexed: 06/22/2024]
Abstract
By measuring the molecular diffusion of water molecules in brain tissue, diffusion MRI (dMRI) provides unique insight into the microstructure and structural connections of the brain in living subjects. Since its inception, the application of dMRI in clinical research has expanded our understanding of the possible biological bases of psychiatric disorders and successful responses to different therapeutic interventions. Here, we review the past decade of diffusion imaging-based investigations with a specific focus on studies examining the mechanisms and predictors of therapeutic response in people with mood disorders. We present a brief overview of the general application of dMRI and key methodological developments in the field that afford increasingly detailed information concerning the macro- and micro-structural properties and connectivity patterns of white matter (WM) pathways and their perturbation over time in patients followed prospectively while undergoing treatment. This is followed by a more in-depth summary of particular studies using dMRI approaches to examine mechanisms and predictors of clinical outcomes in patients with unipolar or bipolar depression receiving pharmacological, neurostimulation, or behavioral treatments. Limitations associated with dMRI research in general and with treatment studies in mood disorders specifically are discussed, as are directions for future research. Despite limitations and the associated discrepancies in findings across individual studies, evolving research strongly indicates that the field is on the precipice of identifying and validating dMRI biomarkers that could lead to more successful personalized treatment approaches and could serve as targets for evaluating the neural effects of novel treatments.
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Affiliation(s)
- Noor B Al-Sharif
- Departments of Neurology and Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.
| | - Artemis Zavaliangos-Petropulu
- Departments of Neurology and Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Katherine L Narr
- Departments of Neurology and Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
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Poletti S, Mazza MG, Benedetti F. Inflammatory mediators in major depression and bipolar disorder. Transl Psychiatry 2024; 14:247. [PMID: 38851764 PMCID: PMC11162479 DOI: 10.1038/s41398-024-02921-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Revised: 05/08/2024] [Accepted: 05/10/2024] [Indexed: 06/10/2024] Open
Abstract
Major depressive disorder (MDD) and bipolar disorder (BD) are highly disabling illnesses defined by different psychopathological, neuroimaging, and cognitive profiles. In the last decades, immune dysregulation has received increasing attention as a central factor in the pathophysiology of these disorders. Several aspects of immune dysregulations have been investigated, including, low-grade inflammation cytokines, chemokines, cell populations, gene expression, and markers of both peripheral and central immune activation. Understanding the distinct immune profiles characterizing the two disorders is indeed of crucial importance for differential diagnosis and the implementation of personalized treatment strategies. In this paper, we reviewed the current literature on the dysregulation of the immune response system focusing our attention on studies using inflammatory markers to discriminate between MDD and BD. High heterogeneity characterized the available literature, reflecting the heterogeneity of the disorders. Common alterations in the immune response system include high pro-inflammatory cytokines such as IL-6 and TNF-α. On the contrary, a greater involvement of chemokines and markers associated with innate immunity has been reported in BD together with dynamic changes in T cells with differentiation defects during childhood which normalize in adulthood, whereas classic mediators of immune responses such as IL-4 and IL-10 are present in MDD together with signs of immune-senescence.
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Affiliation(s)
- Sara Poletti
- Psychiatry and Clinical Psychobiology Unit, Division of Neurosciences, IRCCS San Raffaele Scientific Institute, Milan, Italy.
| | - Mario Gennaro Mazza
- Psychiatry and Clinical Psychobiology Unit, Division of Neurosciences, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Francesco Benedetti
- Psychiatry and Clinical Psychobiology Unit, Division of Neurosciences, IRCCS San Raffaele Scientific Institute, Milan, Italy
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Poletti S, Zanardi R, Mandelli A, Aggio V, Finardi A, Lorenzi C, Borsellino G, Carminati M, Manfredi E, Tomasi E, Spadini S, Colombo C, Drexhage HA, Furlan R, Benedetti F. Low-dose interleukin 2 antidepressant potentiation in unipolar and bipolar depression: Safety, efficacy, and immunological biomarkers. Brain Behav Immun 2024; 118:52-68. [PMID: 38367846 DOI: 10.1016/j.bbi.2024.02.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 02/01/2024] [Accepted: 02/08/2024] [Indexed: 02/19/2024] Open
Abstract
Immune-inflammatory mechanisms are promising targets for antidepressant pharmacology. Immune cell abnormalities have been reported in mood disorders showing a partial T cell defect. Following this line of reasoning we defined an antidepressant potentiation treatment with add-on low-dose interleukin 2 (IL-2). IL-2 is a T-cell growth factor which has proven anti-inflammatory efficacy in autoimmune conditions, increasing thymic production of naïve CD4 + T cells, and possibly correcting the partial T cell defect observed in mood disorders. We performed a single-center, randomised, double-blind, placebo-controlled phase II trial evaluating the safety, clinical efficacy and biological responses of low-dose IL-2 in depressed patients with major depressive (MDD) or bipolar disorder (BD). 36 consecutively recruited inpatients at the Mood Disorder Unit were randomised in a 2:1 ratio to receive either aldesleukin (12 MDD and 12 BD) or placebo (6 MDD and 6 BD). Active treatment significantly potentiated antidepressant response to ongoing SSRI/SNRI treatment in both diagnostic groups, and expanded the population of T regulatory, T helper 2, and percentage of Naive CD4+/CD8 + immune cells. Changes in cell frequences were rapidly induced in the first five days of treatment, and predicted the later improvement of depression severity. No serious adverse effect was observed. This is the first randomised control trial (RCT) evidence supporting the hypothesis that treatment to strengthen the T cell system could be a successful way to correct the immuno-inflammatory abnormalities associated with mood disorders, and potentiate antidepressant response.
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Affiliation(s)
- Sara Poletti
- Psychiatry and Clinical Psychobiology, Division of Neuroscience, Scientific Institute Ospedale San Raffaele, Milano, Italy; Vita-Salute San Raffaele University, Milano, Italy.
| | - Raffaella Zanardi
- Vita-Salute San Raffaele University, Milano, Italy; Mood Disorder Unit, Scientific Institute Ospedale San Raffaele, Milano, Italy
| | - Alessandra Mandelli
- Clinical Neuroimmunology, Institute of Experimental Neurology, Division of Neuroscience, Scientific Institute Ospedale San Raffaele, Milano, Italy
| | - Veronica Aggio
- Psychiatry and Clinical Psychobiology, Division of Neuroscience, Scientific Institute Ospedale San Raffaele, Milano, Italy; Vita-Salute San Raffaele University, Milano, Italy
| | - Annamaria Finardi
- Clinical Neuroimmunology, Institute of Experimental Neurology, Division of Neuroscience, Scientific Institute Ospedale San Raffaele, Milano, Italy
| | - Cristina Lorenzi
- Psychiatry and Clinical Psychobiology, Division of Neuroscience, Scientific Institute Ospedale San Raffaele, Milano, Italy
| | | | - Matteo Carminati
- Vita-Salute San Raffaele University, Milano, Italy; Mood Disorder Unit, Scientific Institute Ospedale San Raffaele, Milano, Italy
| | - Elena Manfredi
- Vita-Salute San Raffaele University, Milano, Italy; Mood Disorder Unit, Scientific Institute Ospedale San Raffaele, Milano, Italy
| | - Enrico Tomasi
- Hospital Pharmacy, Scientific Institute Ospedale San Raffaele, Milano, Italy
| | - Sara Spadini
- Psychiatry and Clinical Psychobiology, Division of Neuroscience, Scientific Institute Ospedale San Raffaele, Milano, Italy
| | - Cristina Colombo
- Vita-Salute San Raffaele University, Milano, Italy; Mood Disorder Unit, Scientific Institute Ospedale San Raffaele, Milano, Italy
| | - Hemmo A Drexhage
- Coordinator EU consortium MoodStratification, Department of Immunology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Roberto Furlan
- Vita-Salute San Raffaele University, Milano, Italy; Clinical Neuroimmunology, Institute of Experimental Neurology, Division of Neuroscience, Scientific Institute Ospedale San Raffaele, Milano, Italy
| | - Francesco Benedetti
- Psychiatry and Clinical Psychobiology, Division of Neuroscience, Scientific Institute Ospedale San Raffaele, Milano, Italy; Vita-Salute San Raffaele University, Milano, Italy
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Dahlgren MK, Gonenc A, Sagar KA, Smith RT, Lambros AM, El-Abboud C, Gruber SA. Increased White Matter Coherence Following Three and Six Months of Medical Cannabis Treatment. Cannabis Cannabinoid Res 2022; 7:827-839. [PMID: 36367574 PMCID: PMC9784607 DOI: 10.1089/can.2022.0097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Background: Previous studies have demonstrated abnormal white matter (WM) microstructure in recreational cannabis consumers; however, the long-term impact of medical cannabis (MC) use on WM coherence is unknown. Accordingly, this study assessed the longitudinal impact of MC treatment on WM coherence. Given results from preclinical studies, we hypothesized that MC treatment would be associated with increased fractional anisotropy (FA) and reduced mean diffusivity (MD). Methods: As part of a larger, longitudinal investigation, patients interested in treating at least one medical condition with commercially available MC products of their choosing were assessed before initiating MC use (baseline n=37; female=25, male=12) and following three (n=31) and six (n=22) months of treatment. WM coherence was assessed via diffusion tensor imaging for bilateral regions of interest including the genu of the corpus callosum, anterior limb of the internal capsule, external capsule, and anterior corona radiata, as well as an occipital control region not expected to change over time. Results: In MC patients, FA values significantly increased bilaterally in several callosal regions relative to baseline following both 3 and 6 months of treatment; MD values significantly decreased in all callosal regions but only following 6 months of treatment. No significant changes in WM coherence were observed in the control region or in a pilot sample of treatment-as-usual patients (baseline n=14), suggesting that increased WM coherence observed in MC patients may be attributed to MC treatment as opposed to confounding factors. Interestingly, significant reductions in MD values correlated with higher cannabidiol (CBD) exposure but not Δ-9-tetrahydrocannabinol exposure. Conclusions: Overall, MC treatment was associated with increased WM coherence, which contrasts with prior research examining recreational cannabis consumers, likely related to inherent differences between recreational consumers and MC patients (e.g., product choice, age of onset). In addition, increased CBD exposure was associated with reduced MD following 6 months of treatment, extending evidence from preclinical research indicating that CBD may be neuroprotective against demyelination. However, additional research is needed to elucidate the clinical efficacy of MC treatment and the risks and benefits of long-term MC use.
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Affiliation(s)
- Mary Kathryn Dahlgren
- Cognitive and Clinical Neuroimaging Core and McLean Hospital Imaging Center, Belmont, Massachusetts, USA
- Marijuana Investigations for Neuroscientific Discovery (MIND) Program, McLean Hospital Imaging Center, Belmont, Massachusetts, USA
- Department of Psychiatry, Harvard Medical School, Boston, Massachusetts, USA
| | - Atilla Gonenc
- Cognitive and Clinical Neuroimaging Core and McLean Hospital Imaging Center, Belmont, Massachusetts, USA
- Marijuana Investigations for Neuroscientific Discovery (MIND) Program, McLean Hospital Imaging Center, Belmont, Massachusetts, USA
- Department of Psychiatry, Harvard Medical School, Boston, Massachusetts, USA
| | - Kelly A Sagar
- Cognitive and Clinical Neuroimaging Core and McLean Hospital Imaging Center, Belmont, Massachusetts, USA
- Marijuana Investigations for Neuroscientific Discovery (MIND) Program, McLean Hospital Imaging Center, Belmont, Massachusetts, USA
- Department of Psychiatry, Harvard Medical School, Boston, Massachusetts, USA
| | - Rosemary T Smith
- Cognitive and Clinical Neuroimaging Core and McLean Hospital Imaging Center, Belmont, Massachusetts, USA
- Marijuana Investigations for Neuroscientific Discovery (MIND) Program, McLean Hospital Imaging Center, Belmont, Massachusetts, USA
| | - Ashley M Lambros
- Cognitive and Clinical Neuroimaging Core and McLean Hospital Imaging Center, Belmont, Massachusetts, USA
- Marijuana Investigations for Neuroscientific Discovery (MIND) Program, McLean Hospital Imaging Center, Belmont, Massachusetts, USA
| | - Celine El-Abboud
- Cognitive and Clinical Neuroimaging Core and McLean Hospital Imaging Center, Belmont, Massachusetts, USA
- Marijuana Investigations for Neuroscientific Discovery (MIND) Program, McLean Hospital Imaging Center, Belmont, Massachusetts, USA
| | - Staci A Gruber
- Cognitive and Clinical Neuroimaging Core and McLean Hospital Imaging Center, Belmont, Massachusetts, USA
- Marijuana Investigations for Neuroscientific Discovery (MIND) Program, McLean Hospital Imaging Center, Belmont, Massachusetts, USA
- Department of Psychiatry, Harvard Medical School, Boston, Massachusetts, USA
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Simhal AK, Carpenter KLH, Kurtzberg J, Song A, Tannenbaum A, Zhang L, Sapiro G, Dawson G. Changes in the geometry and robustness of diffusion tensor imaging networks: Secondary analysis from a randomized controlled trial of young autistic children receiving an umbilical cord blood infusion. Front Psychiatry 2022; 13:1026279. [PMID: 36353577 PMCID: PMC9637553 DOI: 10.3389/fpsyt.2022.1026279] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Accepted: 09/22/2022] [Indexed: 11/04/2022] Open
Abstract
Diffusion tensor imaging (DTI) has been used as an outcome measure in clinical trials for several psychiatric disorders but has rarely been explored in autism clinical trials. This is despite a large body of research suggesting altered white matter structure in autistic individuals. The current study is a secondary analysis of changes in white matter connectivity from a double-blind placebo-control trial of a single intravenous cord blood infusion in 2-7-year-old autistic children (1). Both clinical assessments and DTI were collected at baseline and 6 months after infusion. This study used two measures of white matter connectivity: change in node-to-node connectivity as measured through DTI streamlines and a novel measure of feedback network connectivity, Ollivier-Ricci curvature (ORC). ORC is a network measure which considers both local and global connectivity to assess the robustness of any given pathway. Using both the streamline and ORC analyses, we found reorganization of white matter pathways in predominantly frontal and temporal brain networks in autistic children who received umbilical cord blood treatment versus those who received a placebo. By looking at changes in network robustness, this study examined not only the direct, physical changes in connectivity, but changes with respect to the whole brain network. Together, these results suggest the use of DTI and ORC should be further explored as a potential biomarker in future autism clinical trials. These results, however, should not be interpreted as evidence for the efficacy of cord blood for improving clinical outcomes in autism. This paper presents a secondary analysis using data from a clinical trial that was prospectively registered with ClinicalTrials.gov(NCT02847182).
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Affiliation(s)
- Anish K. Simhal
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | - Kimberly L. H. Carpenter
- Duke Center for Autism and Brain Development, Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, United States
| | - Joanne Kurtzberg
- Marcus Center for Cellular Cures, Duke University Medical Center, Durham, NC, United States
| | - Allen Song
- Brain Imaging and Analysis Center, Duke University, Durham, NC, United States
| | - Allen Tannenbaum
- Department of Computer Science, Stony Brook University, Stony Brook, NY, United States
- Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, NY, United States
| | - Lijia Zhang
- Brain Imaging and Analysis Center, Duke University, Durham, NC, United States
| | - Guillermo Sapiro
- Department of Electrical and Computer Engineering, Duke University, Durham, NC, United States
- Department of Biomedical Engineering, Computer Science, and Mathematics, Duke University, Durham, NC, United States
| | - Geraldine Dawson
- Duke Center for Autism and Brain Development, Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, United States
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White matter characteristics in the early and late stages of bipolar disorder: A diffusion tensor imaging study. J Affect Disord 2022; 308:353-359. [PMID: 35398113 DOI: 10.1016/j.jad.2022.04.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/22/2021] [Revised: 03/14/2022] [Accepted: 04/02/2022] [Indexed: 11/20/2022]
Abstract
BACKGROUND Bipolar disorder (BD) is characterized by recurrent mood episodes that may progress over time. Staging models may be used to follow the long-term course of BD. BD is associated with microstructural changes in white matter (WM). This study aims to compare the WM integrity within patients groups who are in different stages of BD and healthy controls and investigate whether WM integrity changes may be a biomarker that can be used in the clinical staging of BD. METHODS The study sample included euthymic 54 patients diagnosed with BD according to Diagnostic and Statistical Manual of Mental Disorders-IV (DSM-IV) and 27 healthy volunteers. Early-stage patients (n = 26) were determined as patients who have not had any mood episodes after the first manic episode, and late-stage patients (n = 28) determined as patients with recurrent mood episodes. MRI was performed using a 1.5 Tesla MR system and DTI sequences were acquired. RESULTS Region of interest (ROI) analyses showed that late-stage patients had significantly reduced fractional anisotropy (FA) in the right sagittal stratum and genu of the corpus callosum compared with healthy controls and early-stage patients. Regression models show that corpus callosum genu and right sagittal stratum FA values are predictive for the late-stage patient group. LIMITATIONS There are some limitations of the ROI method. The cross-sectional design is another limitation of this study. CONCLUSIONS WM integrity of corpus callosum genu and right sagittal stratum may be a biomarker for clinical staging of BD. Identifying stage-specific biomarkers may help us predict the neuroprogressive course of BD. Longitudinal studies would be required to detect stage-specific biomarkers.
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Pierre WC, Zhang E, Londono I, De Leener B, Lesage F, Lodygensky GA. Non-invasive in vivo MRI detects long-term microstructural brain alterations related to learning and memory impairments in a model of inflammation-induced white matter injury. Behav Brain Res 2022; 428:113884. [DOI: 10.1016/j.bbr.2022.113884] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2021] [Revised: 03/18/2022] [Accepted: 04/03/2022] [Indexed: 11/28/2022]
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Diaz AP, Fernandes BS, Teixeira AL, Mwangi B, Hasan KM, Wu MJ, Selvaraj S, Suen P, Zanao TA, Brunoni AR, Sanches M, Soares JC. White matter microstructure associated with anhedonia among individuals with bipolar disorders and high-risk for bipolar disorders. J Affect Disord 2022; 300:91-98. [PMID: 34936916 PMCID: PMC8828704 DOI: 10.1016/j.jad.2021.12.037] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Revised: 12/09/2021] [Accepted: 12/17/2021] [Indexed: 11/17/2022]
Abstract
BACKGROUND Anhedonia - a key symptom of depression - is highly associated with poorer outcomes and suicidal behavior. Alterations in the circuitry of reward-related brain regions have been robustly associated with anhedonia in unipolar depression, but not bipolar disorder (BD). We investigated white matter microstructures associated with anhedonia in participants with BD types I and II and first-degree relatives of patients with BD (BD-siblings). METHODS Eighty participants (BD types I and II: 56 [70%], and BD-siblings: 24 [30%]) underwent diffusion tensor imaging (DTI); Fractional anisotropy (FA) of different tracts were computed. Anhedonia was assessed using item 8, ("inability to feel'') of the MADRS scale. General linear models were used to compare the FA of different tracts in participants with and without anhedonia controlling for several clinical and demographic variables. RESULTS The mean age of the sample was 37 (± 11) years old, and 68.8% were female. Participants with anhedonia (32.5%) presented lower mean FA in the left uncinate fasciculus (UF) (p = 0.005), right temporal endings of the superior longitudinal fasciculus (SLFT) (p = 0.04), and in the left and right parietal endings of the superior longitudinal fasciculus (SLFP) (p = 0.003, and p = 0.04, respectively). Similar comparisons between participants with or without current depressive episodes and between participants with or without inner tension according to the MADRS did not show significant differences, specificity of the findings for anhedonia. CONCLUSIONS Lower FA in the left UF and SLF are potential neuroimaging markers of anhedonia in individuals with BD and high-risk for BD.
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Affiliation(s)
- Alexandre Paim Diaz
- Louis A. Faillace, MD, Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, 1941 East Road, Suite 3130, Houston, TX 77054, United States.
| | - Brisa S. Fernandes
- The University of Texas Health Science Center at Houston, Louis A. Faillace, MD, Department of Psychiatry and Behavioral Sciences, Houston, Texas
| | - Antonio Lucio Teixeira
- The University of Texas Health Science Center at Houston, Louis A. Faillace, MD, Department of Psychiatry and Behavioral Sciences, Houston, Texas
| | - Benson Mwangi
- The University of Texas Health Science Center at Houston, Louis A. Faillace, MD, Department of Psychiatry and Behavioral Sciences, Houston, Texas
| | - Khader M. Hasan
- The University of Texas Health Science Center at Houston, Department of Diagnostic and Interventional Imaging, Diffusion MRI Research Lab, Houston, Texas
| | - Mon-Ju Wu
- The University of Texas Health Science Center at Houston, Louis A. Faillace, MD, Department of Psychiatry and Behavioral Sciences, Houston, Texas
| | - Sudhakar Selvaraj
- The University of Texas Health Science Center at Houston, Louis A. Faillace, MD, Department of Psychiatry and Behavioral Sciences, Houston, Texas
| | - Paulo Suen
- Department of Internal Medicine, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil; Laboratory of Neurosciences (LIM-27), Department and Institute of Psychiatry, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil
| | - Tamires Araujo Zanao
- Department of Internal Medicine, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil; Laboratory of Neurosciences (LIM-27), Department and Institute of Psychiatry, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil
| | - Andre R. Brunoni
- Department of Internal Medicine, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil; Laboratory of Neurosciences (LIM-27), Department and Institute of Psychiatry, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil
| | - Marsal Sanches
- The University of Texas Health Science Center at Houston, Louis A. Faillace, MD, Department of Psychiatry and Behavioral Sciences, Houston, Texas
| | - Jair C. Soares
- The University of Texas Health Science Center at Houston, Louis A. Faillace, MD, Department of Psychiatry and Behavioral Sciences, Houston, Texas
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Reyes S, Rimkus CDM, Lozoff B, Algarin C, Peirano P. Nighttime Sleep Characteristics and White Matter Integrity in Young Adults. Nat Sci Sleep 2022; 14:1363-1373. [PMID: 35965887 PMCID: PMC9364986 DOI: 10.2147/nss.s360311] [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: 01/28/2022] [Accepted: 07/07/2022] [Indexed: 11/23/2022] Open
Abstract
PURPOSE Sleep is essential for life and plays a key role for optimal physiology, brain functioning, and health. Evidence suggests a relation between sleep and cerebral white matter integrity. Human studies report that sleep duration shows a U-shaped association with brain functioning. We hypothesized that participants with longer or shorter sleep time in the nighttime period show altered microstructural white matter integrity. PARTICIPANTS AND METHODS Seventy-three young adult participants were evaluated. Sleep-wake cycle parameters were assessed objectively using actigraphy. Diffusion tensor imaging studies were performed to assess white matter integrity using fractional anisotropy and mean, axial, and radial diffusivities. Relations between white matter microstructure indexes and sleep parameters were investigated through tract-based spatial statistics. Participants were grouped according to their nocturnal total sleep time: 27 in the Reference sleep group (6.5-8.0 h), 23 in the Short sleep group (<6.5 h) and 23 in the Long sleep group (>8.0 h). RESULTS Compared with the Reference sleep group, participants in the Long sleep group showed lower fractional anisotropy (p < 0.05) and higher radial diffusivity (p < 0.05) values in white matter tracts linked to sleep regulation (corona radiata, body of the corpus callosum, superior longitudinal fasciculus, and anterior thalamic radiation). CONCLUSION This pattern of reduced fractional anisotropy and increased radial diffusivity in the Long sleep group indicates an association between sleep duration and lower integrity of myelin sheaths. Because myelin is continuously remodeled in the brain, nighttime sleep characteristics appear to be a key player for its quality and maintenance.
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Affiliation(s)
- Sussanne Reyes
- Laboratory of Sleep and Functional Neurobiology, Institute of Nutrition and Food Technology (INTA), University of Chile, Santiago, Chile
| | - Carolina de Medeiros Rimkus
- Laboratory of Medical Investigation (LIM-44), Department of Radiology and Oncology, Faculty of Medicine, University of Sao Paulo, São Paulo, São Paulo, Brazil
| | - Betsy Lozoff
- Department of Pediatrics and Environmental Health Sciences, University of Michigan, Ann Arbor, MI, USA
| | - Cecilia Algarin
- Laboratory of Sleep and Functional Neurobiology, Institute of Nutrition and Food Technology (INTA), University of Chile, Santiago, Chile
| | - Patricio Peirano
- Laboratory of Sleep and Functional Neurobiology, Institute of Nutrition and Food Technology (INTA), University of Chile, Santiago, Chile
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Benedetti F, Palladini M, Paolini M, Melloni E, Vai B, De Lorenzo R, Furlan R, Rovere-Querini P, Falini A, Mazza MG. Brain correlates of depression, post-traumatic distress, and inflammatory biomarkers in COVID-19 survivors: A multimodal magnetic resonance imaging study. Brain Behav Immun Health 2021; 18:100387. [PMID: 34746876 PMCID: PMC8562046 DOI: 10.1016/j.bbih.2021.100387] [Citation(s) in RCA: 52] [Impact Index Per Article: 17.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Accepted: 10/31/2021] [Indexed: 01/08/2023] Open
Abstract
Psychiatric sequelae substantially contribute to the post-acute burden of disease associated with COVID-19, persisting months after clearance of the virus. Brain imaging shows white matter (WM) hypodensities/hyperintensities, and the involvement of grey matter (GM) in prefrontal, anterior cingulate (ACC) and insular cortex after COVID, but little is known about brain correlates of persistent psychopathology. With a multimodal approach, we studied whole brain voxel-based morphometry, diffusion-tensor imaging, and resting-state connectivity, to correlate MRI measures with depression and post-traumatic distress (PTSD) in 42 COVID-19 survivors without brain lesions, at 90.59 ± 54.66 days after COVID. Systemic immune-inflammation index (SII) measured in the emergency department, which reflects the immune response and systemic inflammation based on peripheral lymphocyte, neutrophil, and platelet counts, predicted worse self-rated depression and PTSD, widespread lower diffusivity along the main axis of WM tracts, and abnormal functional connectivity (FC) among resting state networks. Self-rated depression and PTSD inversely correlated with GM volumes in ACC and insula, axial diffusivity, and associated with FC. We observed overlapping associations between severity of inflammation during acute COVID-19, brain structure and function, and severity of depression and post-traumatic distress in survivors, thus warranting interest for further study of brain correlates of the post-acute COVID-19 syndrome. Beyond COVID-19, these findings support the hypothesis that regional GM, WM microstructure, and FC could mediate the relationship between a medical illness and its psychopathological sequelae, and are in agreement with current perspectives on the brain structural and functional underpinnings of depressive psychopathology.
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Affiliation(s)
- Francesco Benedetti
- Vita-Salute San Raffaele University, Milano, Italy
- Psychiatry & Clinical Psychobiology, Division of Neuroscience, IRCCS Scientific Institute Ospedale San Raffaele, Milano, Italy
| | - Mariagrazia Palladini
- Psychiatry & Clinical Psychobiology, Division of Neuroscience, IRCCS Scientific Institute Ospedale San Raffaele, Milano, Italy
| | - Marco Paolini
- Vita-Salute San Raffaele University, Milano, Italy
- Psychiatry & Clinical Psychobiology, Division of Neuroscience, IRCCS Scientific Institute Ospedale San Raffaele, Milano, Italy
- PhD Program in Molecular Medicine, University Vita-Salute San Raffaele, Milan, Italy
| | - Elisa Melloni
- Vita-Salute San Raffaele University, Milano, Italy
- Psychiatry & Clinical Psychobiology, Division of Neuroscience, IRCCS Scientific Institute Ospedale San Raffaele, Milano, Italy
| | - Benedetta Vai
- Vita-Salute San Raffaele University, Milano, Italy
- Psychiatry & Clinical Psychobiology, Division of Neuroscience, IRCCS Scientific Institute Ospedale San Raffaele, Milano, Italy
| | - Rebecca De Lorenzo
- Vita-Salute San Raffaele University, Milano, Italy
- Division of Immunology, Transplantation and Infectious Diseases, IRCCS Scientific Institute Ospedale San Raffaele, Milan, Italy
| | - Roberto Furlan
- Clinical Neuroimmunology, Division of Neuroscience, IRCCS Scientific Institute Ospedale San Raffaele, Milano, Italy
| | - Patrizia Rovere-Querini
- Vita-Salute San Raffaele University, Milano, Italy
- Division of Immunology, Transplantation and Infectious Diseases, IRCCS Scientific Institute Ospedale San Raffaele, Milan, Italy
| | - Andrea Falini
- Vita-Salute San Raffaele University, Milano, Italy
- Department of Neuroradiology, IRCCS Scientific Institute Ospedale San Raffaele, Milan, Italy
| | - Mario Gennaro Mazza
- Vita-Salute San Raffaele University, Milano, Italy
- Psychiatry & Clinical Psychobiology, Division of Neuroscience, IRCCS Scientific Institute Ospedale San Raffaele, Milano, Italy
- PhD Program in Cognitive Neuroscience, University Vita-Salute San Raffaele, Milan, Italy
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11
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Benedetti F, Dallaspezia S, Melloni EMT, Lorenzi C, Zanardi R, Barbini B, Colombo C. Effective Antidepressant Chronotherapeutics (Sleep Deprivation and Light Therapy) Normalize the IL-1β:IL-1ra Ratio in Bipolar Depression. Front Physiol 2021; 12:740686. [PMID: 34539454 PMCID: PMC8440979 DOI: 10.3389/fphys.2021.740686] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Accepted: 08/09/2021] [Indexed: 12/11/2022] Open
Abstract
Background Mood disorders associate with peripheral markers of low-grade inflammation, among which circulating levels of interleukin-1β (IL-1β) consistently predict diagnosis and poor outcomes. Antidepressant chronotherapeutics (total sleep deprivation and light therapy, TSD+LT) prompts response in drug-resistant bipolar depression, but its effect on peripheral inflammation were never assessed. Here we explored the effects of TSD+LT on IL-1β signaling. Methods We studied the ratio between IL-1β and its receptor antagonist (IL-1β:IL1ra) in 33 healthy participants, and in 26 inpatients with a major depressive episode in course of Bipolar Disorder, before and after treatment with three cycles of repeated TSD+LT, interspersed with sleep recovery nights, administered during 1 week. Treatment effects of mood and on IL-1β:IL1ra were analyzed in the context of the Generalized Linear Model (GLM). Results At baseline, patients had higher IL-1β, IL1ra, and IL-1β:IL1ra than controls. Treatment significantly decreased IL-1β:IL1ra, by decreasing IL-1β and increasing IL1ra, the effect being proportional to baseline levels and normalizing values. Patients with higher baseline levels showed the highest decrease in IL-1β:IL-1ra, which associated with the immediate antidepressant response at the first cycle; while patients with lower baseline values showed negligible changes in the IL-1β:IL-1ra, unrelated to treatment response. Conclusion We observed a parallel change of inflammatory biomarkers and severity of depression after chronotherapeutics, suggesting that a reduction in inflammation associated with depression could contribute to the mechanism of action of TSD+LT, and warranting interest for controlled studies addressing the role of inflammation in the recovery from bipolar depression.
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Affiliation(s)
- Francesco Benedetti
- Vita-Salute San Raffaele University, Milan, Italy.,Psychiatry and Clinical Psychobiology, Division of Neuroscience, Scientific Institute IRCCS Ospedale San Raffaele, Milan, Italy
| | - Sara Dallaspezia
- Vita-Salute San Raffaele University, Milan, Italy.,Psychiatry and Clinical Psychobiology, Division of Neuroscience, Scientific Institute IRCCS Ospedale San Raffaele, Milan, Italy
| | - Elisa Maria Teresa Melloni
- Vita-Salute San Raffaele University, Milan, Italy.,Psychiatry and Clinical Psychobiology, Division of Neuroscience, Scientific Institute IRCCS Ospedale San Raffaele, Milan, Italy
| | - Cristina Lorenzi
- Psychiatry and Clinical Psychobiology, Division of Neuroscience, Scientific Institute IRCCS Ospedale San Raffaele, Milan, Italy
| | - Raffaella Zanardi
- Vita-Salute San Raffaele University, Milan, Italy.,Mood Disorders Unit, IRCCS Scientific Institute Ospedale San Raffaele, Milan, Italy
| | - Barbara Barbini
- Vita-Salute San Raffaele University, Milan, Italy.,Mood Disorders Unit, IRCCS Scientific Institute Ospedale San Raffaele, Milan, Italy
| | - Cristina Colombo
- Vita-Salute San Raffaele University, Milan, Italy.,Mood Disorders Unit, IRCCS Scientific Institute Ospedale San Raffaele, Milan, Italy
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