Literature DB >> 35181755

Cellular specificity of mitochondrial and immunometabolic features in major depression.

Jelena Brasanac1, Stefanie Gamradt1, Christian Otte1, Yuri Milaneschi2, Anna S Monzel3, Martin Picard3, Stefan M Gold4,5,6.   

Abstract

Entities:  

Mesh:

Year:  2022        PMID: 35181755      PMCID: PMC9135618          DOI: 10.1038/s41380-022-01473-2

Source DB:  PubMed          Journal:  Mol Psychiatry        ISSN: 1359-4184            Impact factor:   13.437


× No keyword cloud information.

To the Editor:

Converging lines of evidence from human studies and experimental models have recently suggested a putative pathogenetic role of mitochondrial biology in neuropsychiatric disorders including depression. However, mitochondrial regulation is tissue-specific and varies substantially between subsets of cell populations, particularly in the immune system, where mitochondrial bioenergetics and dynamics drive cell function. Thus, while the peripheral immune system is an attractive biomarker candidate due to its easy accessibility in humans and its likely involvement in mood disorders, investigations in this area will require detailed workup of cellular specificity and functional implications to gain insight into potentially druggable pathobiological substrates. In this journal, Scaini et al. [1] reported altered expression of key mitochondrial proteins including Mfn-2, short Opa-1 and Fis-1 in peripheral blood mononuclear cells (PBMCs) from a cross-sectional cohort of MDD patients compared to healthy controls. Moreover, their analyses suggested that expression of some of these mitochondrial markers might be linked to low grade inflammation (as determined by CRP levels). While mitochondrial functions were not tested directly in this study, the differential expression of these proteins in PBMCs supports earlier reports of altered cellular respiration of PBMCs obtained from patients with MDD (e.g. [2]). Moreover, the study adds to converging evidence from a recent metabolomics study [3] and a genetic investigation using Mendelian randomization [4], which implicated mitochondrial biology in the pathogenesis of depression. However, it is becoming increasingly clear that different cell types harbor unique mitochondrial phenotypes and functions. In the immune system, mitochondrial bioenergetics and dynamics are key drivers of immune cell differentiation and function [5] and—consequently—there are very large differences in the mitochondrial phenotypes among different cell lineages (e.g., monocytes, B and T lymphocytes) and activation or differentiation states (e.g., memory vs naïve) [6]. Mirroring differences on a functional and protein level (Fig. 1a), RNA expression levels of key mitochondrial genes reported to differ between MDD and controls also vary by up to 37-242% among immune cell subtypes, and—importantly—between these subtypes vs PBMCs (Fig. 1b) [7].
Fig. 1

Cellular specificity of mitochondrial phenotype in cell subsets of the peripheral immune system in major depression.

a On a functional and protein level, mitochondrial bioenergetics and dynamics differ substantially between bulk peripheral blood mononuclear cells (PBMCs) in comparison to purified subsets of immune cells such as monocytes, CD4 T cells, or CD8 T cells. Mitochondrial health index (MHI) taken from [6], abundance of key mitochondrial proteins Mfn-2, Fis-1, Opa-1, CPT1a and Bax based on data obtained from https://www.genecards.org/. b Further complexity is added on a transcriptional level when exploring subsets of monocyte and T cell population. Heatmap shows cell-specific gene expression from RNA-seq data based on molecularly defined, flow-sorted immune cell subpopulations in the HumanProteinAtlas [7]. Red color indicates higher expression, blue color lower expression (normalized within row). c Based on immunophenotyping data comparing patients with major depressive disorder (MDD) and healthy controls (HCs), subsets of monocytes and T cells are more frequent in the peripheral immune system in depression. This effect is particularly pronounced in a subgroup of patients, as shown by comparisons between “uninflamed” and “inflamed” subtypes of MDD (based on clustering of peripheral cellular immune markers), see [8]. d In MDD, impairments of mitochondrial reserve (as measured by oxygen consumption rate) were more pronounced in purified T cells than in monocytes (based on [9]). e Mitochondrial dysfunction in CD4 T cells specifically has been demonstrated to induce depression/anxiety-like behavior in mice (based on [10]).

Cellular specificity of mitochondrial phenotype in cell subsets of the peripheral immune system in major depression.

a On a functional and protein level, mitochondrial bioenergetics and dynamics differ substantially between bulk peripheral blood mononuclear cells (PBMCs) in comparison to purified subsets of immune cells such as monocytes, CD4 T cells, or CD8 T cells. Mitochondrial health index (MHI) taken from [6], abundance of key mitochondrial proteins Mfn-2, Fis-1, Opa-1, CPT1a and Bax based on data obtained from https://www.genecards.org/. b Further complexity is added on a transcriptional level when exploring subsets of monocyte and T cell population. Heatmap shows cell-specific gene expression from RNA-seq data based on molecularly defined, flow-sorted immune cell subpopulations in the HumanProteinAtlas [7]. Red color indicates higher expression, blue color lower expression (normalized within row). c Based on immunophenotyping data comparing patients with major depressive disorder (MDD) and healthy controls (HCs), subsets of monocytes and T cells are more frequent in the peripheral immune system in depression. This effect is particularly pronounced in a subgroup of patients, as shown by comparisons between “uninflamed” and “inflamed” subtypes of MDD (based on clustering of peripheral cellular immune markers), see [8]. d In MDD, impairments of mitochondrial reserve (as measured by oxygen consumption rate) were more pronounced in purified T cells than in monocytes (based on [9]). e Mitochondrial dysfunction in CD4 T cells specifically has been demonstrated to induce depression/anxiety-like behavior in mice (based on [10]). This point is relevant to depression, because numerous studies have shown that MDD is associated with shifts in immune subset composition (see Fig. 1c). As an example, the largest and most recent immunophenotyping study in MDD [8] showed a number of enumerative differences including higher circulating numbers of monocyte subsets and CD4+ T cells in MDD compared to controls. This immune signature was also linked to elevated serum markers such as CRP, characterizing a subgroup of “inflamed” depression. Moreover, the degree of alterations in mitochondria such as respiratory chain function appears to differ between cell populations of the adaptive and innate immune system when compared between patients with MDD and closely matched healthy controls [9] (see Fig. 1d). Here, group differences in mitochondrial respiration were much more pronounced in T cells compared to monocytes. Importantly, such lineage-specific differences within the immune system might be biologically relevant in depression as an elegant experimental study in mice [10] demonstrated that adoptive transfer of CD4+ T cells (but not CD8+ T cells) from stressed mice was sufficient to induce depression/anxiety-like behavior in (unstressed) recipient mice (see Fig. 1e). In a series of well-controlled experiments, the authors established that a defect in mitochondrial fusion specifically in CD4+ T cells was the key mechanism for this effect. Thus, when examining cellular or molecular markers in bulk-PBMCs, shifts in the composition of the immune cell subsets within the PBMC sample could mask, blunt, or maybe even drive apparent group differences in case-control studies of MDD. Future studies should therefore consider the inherent cellular specificity and functional implications of immune cell mitochondria, which will help to separate what constitutes an epiphenomenon from robust bioenergetic features and potential therapeutic targets of MDD.
  10 in total

1.  Proteomics. Tissue-based map of the human proteome.

Authors:  Mathias Uhlén; Linn Fagerberg; Björn M Hallström; Cecilia Lindskog; Per Oksvold; Adil Mardinoglu; Åsa Sivertsson; Caroline Kampf; Evelina Sjöstedt; Anna Asplund; IngMarie Olsson; Karolina Edlund; Emma Lundberg; Sanjay Navani; Cristina Al-Khalili Szigyarto; Jacob Odeberg; Dijana Djureinovic; Jenny Ottosson Takanen; Sophia Hober; Tove Alm; Per-Henrik Edqvist; Holger Berling; Hanna Tegel; Jan Mulder; Johan Rockberg; Peter Nilsson; Jochen M Schwenk; Marica Hamsten; Kalle von Feilitzen; Mattias Forsberg; Lukas Persson; Fredric Johansson; Martin Zwahlen; Gunnar von Heijne; Jens Nielsen; Fredrik Pontén
Journal:  Science       Date:  2015-01-23       Impact factor: 47.728

Review 2.  Metabolic Instruction of Immunity.

Authors:  Michael D Buck; Ryan T Sowell; Susan M Kaech; Erika L Pearce
Journal:  Cell       Date:  2017-05-04       Impact factor: 41.582

3.  Genomics-based identification of a potential causal role for acylcarnitine metabolism in depression.

Authors:  Yuri Milaneschi; Matthias Arnold; Gabi Kastenmüller; Siamak Mahmoudian Dehkordi; Ranga R Krishnan; Boadie W Dunlop; A John Rush; Brenda W J H Penninx; Rima Kaddurah-Daouk
Journal:  J Affect Disord       Date:  2022-04-02       Impact factor: 4.839

4.  Dysregulation of mitochondrial dynamics, mitophagy and apoptosis in major depressive disorder: Does inflammation play a role?

Authors:  Giselli Scaini; Brittany L Mason; Alexandre P Diaz; Manish K Jha; Jair C Soares; Madhukar H Trivedi; João Quevedo
Journal:  Mol Psychiatry       Date:  2021-10-14       Impact factor: 15.992

5.  Stress-Induced Metabolic Disorder in Peripheral CD4+ T Cells Leads to Anxiety-like Behavior.

Authors:  Ke-Qi Fan; Yi-Yuan Li; Hao-Li Wang; Xin-Tao Mao; Jin-Xin Guo; Fei Wang; Ling-Jie Huang; Yi-Ning Li; Xiang-Yu Ma; Zheng-Jun Gao; Wei Chen; Dan-Dan Qian; Wen-Jin Xue; Qian Cao; Lei Zhang; Li Shen; Long Zhang; Chao Tong; Jiang-Yan Zhong; Wei Lu; Ling Lu; Ke-Ming Ren; Guisheng Zhong; Yuan Wang; Mingliang Tang; Xin-Hua Feng; Ren-Jie Chai; Jin Jin
Journal:  Cell       Date:  2019-10-31       Impact factor: 41.582

6.  Mitochondrial phenotypes in purified human immune cell subtypes and cell mixtures.

Authors:  Shannon Rausser; Caroline Trumpff; Marlon A McGill; Alex Junker; Wei Wang; Siu-Hong Ho; Anika Mitchell; Kalpita R Karan; Catherine Monk; Suzanne C Segerstrom; Rebecca G Reed; Martin Picard
Journal:  Elife       Date:  2021-10-26       Impact factor: 8.140

7.  Mitochondrial respiration in peripheral blood mononuclear cells correlates with depressive subsymptoms and severity of major depression.

Authors:  A Karabatsiakis; C Böck; J Salinas-Manrique; S Kolassa; E Calzia; D E Dietrich; I-T Kolassa
Journal:  Transl Psychiatry       Date:  2014-06-10       Impact factor: 6.222

8.  Peripheral Blood Cell-Stratified Subgroups of Inflamed Depression.

Authors:  Mary-Ellen Lynall; Lorinda Turner; Junaid Bhatti; Jonathan Cavanagh; Peter de Boer; Valeria Mondelli; Declan Jones; Wayne C Drevets; Philip Cowen; Neil A Harrison; Carmine M Pariante; Linda Pointon; Menna R Clatworthy; Edward Bullmore
Journal:  Biol Psychiatry       Date:  2019-12-02       Impact factor: 13.382

9.  A metabolome-wide association study in the general population reveals decreased levels of serum laurylcarnitine in people with depression.

Authors:  Helena U Zacharias; Johannes Hertel; Hamimatunnisa Johar; Maik Pietzner; Karoline Lukaschek; Seryan Atasoy; Sonja Kunze; Henry Völzke; Matthias Nauck; Nele Friedrich; Gabi Kastenmüller; Hans J Grabe; Christian Gieger; Jan Krumsiek; Karl-Heinz Ladwig
Journal:  Mol Psychiatry       Date:  2021-06-04       Impact factor: 15.992

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.