Objective Emerging evidence implicates neuroinflammation in the pathogenesis of major depressive disorder (MDD), yet the role of memory B cells remains unclear. In this study, we conducted a bidirectional two-sample Mendelian randomization (MR) study and Bayesian colocalization analyses to investigate the causal relationships between memory B-cell traits and MDD risk.
Methods MDD summary data were gathered from a meta-analysis of genome-wide association studies (GWASs), whereas memory B-cell genetic variations were sourced from GWASs on immune phenotypes. MR analysis utilized the inverse variance weighted (IVW), MR-Egger, and weighted median methods. Moreover, various sensitivity analyses, including Cochran’s Q test, MR Pleiotropy Residual Sum and Outlier (MR-PRESSO), MR-Egger intercept test and Leave-one-out (LOO) analysis, were performed to confirm MR result stability. Bayesian colocalization analyses were also conducted to identify genetic loci shared between memory B cells and MDD.
Results Our results indicated that genetically predicted increased CD27 protein expression on memory B cells causally elevated MDD risk (ORs: 1.025–1.063, PFDR < 0.05). Conversely, MDD did not causally affect memory B-cell traits. Additionally, the colocalization analysis revealed no shared genetic variants, suggesting distinct biological pathways.
Conclusions These findings highlight CD27 as a potential novel biomarker and therapeutic target in MDD, warranting further clinical validation in the future.
| [1] |
Cui R. Editorial: a systematic review of depression. Curr Neuropharmacol.. 2015, 13(4): 480.
|
| [2] |
McCarron RM, Shapiro B, Rawles J, et al. Depression. Ann Intern Med. 2021:ITC65–ITC80.
|
| [3] |
Malhi GS, Mann JJ. Depression. Lancet.. 2018, 392101612299-2312.
|
| [4] |
Krishnan V, Nestler EJ. The molecular neurobiology of depression. Nature.. 2008, 455(7215): 894-902.
|
| [5] |
Woodburn SC, Bollinger JL, Wohleb ES. The semantics of microglia activation: neuroinflammation, homeostasis, and stress. J Neuroinflammation.. 2021, 18(1): 258.
|
| [6] |
Troubat R, Barone P, Leman Set al. . Neuroinflammation and depression: a review. Eur J Neurosci.. 2021, 531151-171.
|
| [7] |
Wu A, Zhang J. Neuroinflammation, memory, and depression: new approaches to hippocampal neurogenesis. J Neuroinflammation.. 2023, 20(1): 283.
|
| [8] |
Setiawan E, Wilson AA, Mizrahi Ret al. . Role of translocator protein density, a marker of neuroinflammation, in the brain during major depressive episodes. JAMA Psychiatry.. 2015, 723268-275.
|
| [9] |
Torres-Platas SG, Cruceanu C, Chen GGet al. . Evidence for increased microglial priming and macrophage recruitment in the dorsal anterior cingulate white matter of depressed suicides. Brain Behav Immun.. 2014, 42: 50-59.
|
| [10] |
Steiner J, Bielau H, Brisch Ret al. . Immunological aspects in the neurobiology of suicide: elevated microglial density in schizophrenia and depression is associated with suicide. J Psychiatr Res.. 2008, 42(2): 151-157.
|
| [11] |
Nagy C, Suderman M, Yang Jet al. . Astrocytic abnormalities and global DNA methylation patterns in depression and suicide. Mol Psychiatry.. 2015, 20(3): 320-328.
|
| [12] |
Feinstein A, Magalhaes S, Richard JFet al. . The link between multiple sclerosis and depression. Nat Rev Neurol.. 2014, 10(9): 507-517.
|
| [13] |
Ownby RL, Crocco E, Acevedo Aet al. . Depression and risk for Alzheimer disease: systematic review, meta-analysis, and metaregression analysis. Arch Gen Psychiatry.. 2006, 63(5): 530-538.
|
| [14] |
McDonald WM, Richard IH, DeLong MR. Prevalence, etiology, and treatment of depression in Parkinson’s disease. Biol Psychiatry.. 2003, 54(3): 363-375.
|
| [15] |
Wang H, He Y, Sun Zet al. . Microglia in depression: an overview of microglia in the pathogenesis and treatment of depression. J Neuroinflammation.. 2022, 19(1): 132.
|
| [16] |
Guo F, Fan J, Liu JMet al. . Astrocytic ALKBH5 in stress response contributes to depressive-like behaviors in mice. Nat Commun.. 2024, 1514347.
|
| [17] |
Réus GZ, Manosso LM, Quevedo Jet al. . Major depressive disorder as a neuro-immune disorder: Origin, mechanisms, and therapeutic opportunities. Neurosci Biobehav Rev.. 2023, 155. 105425
|
| [18] |
Ahmetspahic D, Schwarte K, Ambrée Oet al. . Altered B cell homeostasis in patients with major depressive disorder and normalization of CD5 surface expression on regulatory B cells in treatment responders. J Neuroimmune Pharmacol.. 2018, 13190-99.
|
| [19] |
Inoue T, Kurosaki T. Memory B cells. Nat Rev Immunol.. 2024, 24(1): 5-17.
|
| [20] |
LeBien TW, Tedder TF. B lymphocytes: how they develop and function. Blood.. 2008, 112(5): 1570-1580.
|
| [21] |
Li R, Rezk A, Miyazaki Yet al. . Proinflammatory GM-CSF-producing B cells in multiple sclerosis and B cell depletion therapy. Sci Transl Med.. 2015, 7(310): 310ra166.
|
| [22] |
Cognasse F, Hamzeh-Cognasse H, Lafarge Set al. . Identification of two subpopulations of purified human blood B cells, CD27- CD23+ and CD27high CD80+, that strongly express cell surface Toll-like receptor 9 and secrete high levels of interleukin-6. Immunology.. 2008, 1253430-437.
|
| [23] |
Duddy M, Niino M, Adatia Fet al. . Distinct effector cytokine profiles of memory and naive human B cell subsets and implication in multiple sclerosis. J Immunol.. 2007, 178(10): 6092-6099.
|
| [24] |
Ramesh A, Schubert RD, Greenfield ALet al. . A pathogenic and clonally expanded B cell transcriptome in active multiple sclerosis. Proc Natl Acad Sci U S A.. 2020, 117(37): 22932-22943.
|
| [25] |
Zhang Y, Miao Y, Tan Jet al. . Identification of mitochondrial related signature associated with immune microenvironment in Alzheimer’s disease. J Transl Med.. 2023, 21(1): 458.
|
| [26] |
Wang P, Luo M, Zhou Wet al. . Global characterization of peripheral B cells in Parkinson’s disease by single-cell RNA and BCR sequencing. Front Immunol.. 2022, 13. 814239
|
| [27] |
Davies NM, Holmes MV, Davey SG. Reading Mendelian randomisation studies: a guide, glossary, and checklist for clinicians. BMJ.. 2018, 362. k601
|
| [28] |
Howard DM, Adams MJ, Clarke TKet al. . Genome-wide meta-analysis of depression identifies 102 independent variants and highlights the importance of the prefrontal brain regions. Nat Neurosci.. 2019, 223343-352.
|
| [29] |
Orrù V, Steri M, Sidore Cet al. . Complex genetic signatures in immune cells underlie autoimmunity and inform therapy. Nat Genet.. 2020, 52(10): 1036-1045.
|
| [30] |
Luo J, Xu Z, Noordam Ret al. . Depression and inflammatory bowel disease: a bidirectional two-sample mendelian randomization study. J Crohns Colitis.. 2022, 16(4): 633-642.
|
| [31] |
Burgess S, Thompson SG, CRP CHD Genetics Collaboration. Avoiding bias from weak instruments in Mendelian randomization studies. Int J Epidemiol. 2011;40(3):755–764.
|
| [32] |
Yao C, Zhang Y, Lu Pet al. . Exploring the bidirectional relationship between pain and mental disorders: a comprehensive Mendelian randomization study. J Headache Pain.. 2023, 24(1): 82.
|
| [33] |
Burgess S, Butterworth A, Thompson SG. Mendelian randomization analysis with multiple genetic variants using summarized data. Genet Epidemiol.. 2013, 377658-665.
|
| [34] |
Qiu S, Cao P, Guo Yet al. . Exploring the causality between hypothyroidism and non-alcoholic fatty liver: a mendelian randomization study. Front Cell Dev Biol.. 2021, 9. 643582
|
| [35] |
Bowden J, Davey Smith G, Haycock PCet al. . Consistent estimation in mendelian randomization with some invalid instruments using a weighted Median estimator. Genet Epidemiol.. 2016, 40(4): 304-314.
|
| [36] |
Bowden J, Davey Smith G, Burgess S. Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression. Int J Epidemiol.. 2015, 44(2): 512-525.
|
| [37] |
Burgess S, Davey Smith G, Davies NMet al. . Guidelines for performing Mendelian randomization investigations: update for summer 2023. Wellcome Open Res.. 2019, 4: 186.
|
| [38] |
Verbanck M, Chen CY, Neale Bet al. . Detection of widespread horizontal pleiotropy in causal relationships inferred from Mendelian randomization between complex traits and diseases. Nat Genet.. 2018, 50(5): 693-698.
|
| [39] |
Burgess S, Thompson SG. Interpreting findings from Mendelian randomization using the MR-Egger method. Eur J Epidemiol.. 2017, 325377-389.
|
| [40] |
Ou YN, Yang YX, Deng YTet al. . Identification of novel drug targets for Alzheimer’s disease by integrating genetics and proteomes from brain and blood. Mol Psychiatry.. 2021, 26(10): 6065-6073.
|
| [41] |
Lu T, Chen Y, Yoshiji Set al. . Circulating metabolite abundances associated with risks of bipolar disorder, schizophrenia, and depression: a mendelian randomization study. Biol Psychiatry.. 2024, 96(10): 782-791.
|
| [42] |
Sanz I, Wei C, Lee FEet al. . Phenotypic and functional heterogeneity of human memory B cells. Semin Immunol.. 2008, 20(1): 67-82.
|
| [43] |
Castellani G, Croese T, Peralta Ramos JMet al. . Transforming the understanding of brain immunity. Science.. 2023, 380(6640): eabo7649.
|
| [44] |
Crupi R, Cuzzocrea S. Neuroinflammation and immunity: a new pharmacological target in depression. CNS Neurol Disord Drug Targets.. 2016, 154464-476.
|
| [45] |
Aranda CJ, Gonzalez-Kozlova E, Saunders SPet al. . IgG memory B cells expressing IL4R and FCER2 are associated with atopic diseases. Allergy.. 2023, 78(3): 752-766.
|
| [46] |
Yang M, Long D, Hu Let al. . AIM2 deficiency in B cells ameliorates systemic lupus erythematosus by regulating Blimp-1-Bcl-6 axis-mediated B-cell differentiation. Signal Transduct Target Ther.. 2021, 6(1): 341.
|
| [47] |
Agematsu K, Hokibara S, Nagumo Het al. . CD27: a memory B-cell marker. Immunol Today.. 2000, 215204-206.
|
| [48] |
Agematsu K, Nagumo H, Oguchi Yet al. . Generation of plasma cells from peripheral blood memory B cells: synergistic effect of interleukin-10 and CD27/CD70 interaction. Blood.. 1998, 91(1): 173-180.
|
| [49] |
Agematsu K, Kobata T, Yang FCet al. . CD27/CD70 interaction directly drives B cell IgG and IgM synthesis. Eur J Immunol.. 1995, 25(10): 2825-2829.
|
| [50] |
Avery DT, Ellyard JI, MacKay Fet al. . Increased expression of CD27 on activated human memory B cells correlates with their commitment to the plasma cell lineage. J Immunol.. 2005, 174(7): 4034-4042.
|
| [51] |
Nutt SL, Hodgkin PD, Tarlinton DMet al. . The generation of antibody-secreting plasma cells. Nat Rev Immunol.. 2015, 15(3): 160-171.
|
| [52] |
Hoyer BF, Radbruch A. Protective and pathogenic memory plasma cells. Immunol Lett.. 2017, 189: 10-12.
|
| [53] |
Shimo Y, Cathomas F, Lin HYet al. . Social stress induces autoimmune responses against the brain. Proc Natl Acad Sci U S A.. 2023, 120(49. e2305778120
|
| [54] |
Hukku A, Pividori M, Luca Fet al. . Probabilistic colocalization of genetic variants from complex and molecular traits: promise and limitations. Am J Hum Genet.. 2021, 1081): 25-35.
|
| [55] |
Zuber V, Grinberg NF, Gill Det al. . Combining evidence from Mendelian randomization and colocalization: Review and comparison of approaches. Am J Hum Genet.. 2022, 109(5): 767-782.
|
| [56] |
Yao PA, Sun HJ, Li XY. Identification of key genes in late-onset major depressive disorder through a co-expression network module. Front Genet.. 2022, 13: 1048761.
|
| [57] |
Maes M, Zhou B, Rachayon Met al. . T cell activation and lowered T regulatory cell numbers are key processes in severe major depressive disorder: Effects of recurrence of illness and adverse childhood experiences. J Affect Disord.. 2024, 36262-74.
|
| [58] |
Rothmore J. Antidepressant-induced sexual dysfunction. Med J Aust.. 2020, 212(7): 329-334.
|
| [59] |
Park LT, Zarate CAJr. Depression in the primary care setting. N Engl J Med.. 2019, 380(6): 559-568.
|
| [60] |
US Preventive Services Task ForceBarry MJ, Nicholson WKet al. . Screening for depression and suicide risk in adults: us preventive services task force recommendation statement. JAMA.. 2023, 329(23): 2057-2067.
|
| [61] |
O’Connor EA, Perdue LA, Coppola ELet al. . Depression and suicide risk screening: updated evidence report and systematic review for the US preventive services task force. JAMA.. 2023, 329(23): 2068-2085.
|
| [62] |
Saleh A, Potter GG, McQuoid DRet al. . Effects of early life stress on depression, cognitive performance and brain morphology. Psychol Med.. 2017, 47(1): 171-181.
|
| [63] |
Assari S. Social determinants of depression: the intersections of race, gender, and socioeconomic status. Brain Sci.. 2017, 7(12): 156.
|
| [64] |
Velázquez-Alva MC, Irigoyen-Camacho ME, Cabrer-Rosales MFet al. . Prevalence of malnutrition and depression in older adults living in nursing homes in Mexico City. Nutrients.. 2020, 1282429.
|
| [65] |
Gutiérrez-Rojas L, Porras-Segovia A, Dunne Het al. . Prevalence and correlates of major depressive disorder: a systematic review. Braz J Psychiatry.. 2020, 426657-672.
|
RIGHTS & PERMISSIONS
The Author(s), under exclusive licence to the Huazhong University of Science and Technology