Skip to main content
Log in

Major Depressive Disorder in Older Patients as an Inflammatory Disorder: Implications for the Pharmacological Management of Geriatric Depression

  • Review Article
  • Published:
Drugs & Aging Aims and scope Submit manuscript

Abstract

Depression is a common and highly disabling condition in older adults. It is a heterogenous disorder and there is emerging evidence of a link between inflammation and depression in older patients, with a possible inflammatory subtype of depression. Persistent low-level inflammation, from several sources including psychological distress and chronic disease, can disrupt monoaminergic and glutaminergic systems to create dysfunctional brain networks. Despite the evidence for the role of inflammation in depression, there is insufficient evidence to recommend use of any putative anti-inflammatory agent in the treatment of depression in older adults at this stage. Further characterisation of markers of inflammation and stratification of participants with elevated rates of inflammatory markers in treatment trials is needed.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2

Similar content being viewed by others

References

  1. UN. World Population Ageing 2019 New York: United Nations Department of Economic and Social Affairs; 2019 https://www.un.org/en/development/desa/population/publications/pdf/ageing/WorldPopulationAgeing2019-Highlights.pdf. Accessed 20 Nov 2020.

  2. Andreas S, Schulz H, Volkert J, Dehoust M, Sehner S, Suling A, et al. Prevalence of mental disorders in elderly people: the European MentDis_ICF65+ study. Br J Psychiatry. 2018;210(2):125–31.

    Google Scholar 

  3. Alexopoulos GS. Mechanisms and treatment of late-life depression. Transl Psychiatry. 2019;9(1):188.

    PubMed  Google Scholar 

  4. Wei J, Hou R, Zhang X, Xu H, Xie L, Chandrasekar EK, et al. The association of late-life depression with all-cause and cardiovascular mortality among community-dwelling older adults: systematic review and meta-analysis. Br J Psychiatry J Ment Sci. 2019;215(2):449–55.

    Google Scholar 

  5. Wei J, Ying M, Xie L, Chandrasekar EK, Lu H, Wang T, et al. Late-life depression and cognitive function among older adults in the US: The National Health and Nutrition Examination Survey, 2011–2014. J Psychiatr Res. 2019;111:30–5.

    PubMed  Google Scholar 

  6. Dong L, Freedman VA, de Leon CFM. The association of comorbid depression and anxiety symptoms with disability onset in older adults. Psychosom Med. 2020;82(2):158–64.

    PubMed  PubMed Central  Google Scholar 

  7. Deng Y, McQuoid DR, Potter GG, Steffens DC, Albert K, Riddle M, et al. Predictors of recurrence in remitted late-life depression. Depress Anxiety. 2018;35(7):658–67.

    PubMed  PubMed Central  Google Scholar 

  8. de la Torre-Luque A, de la Fuente J, Sanchez-Niubo A, Caballero FF, Prina M, Muniz-Terrera G, et al. Stability of clinically relevant depression symptoms in old-age across 11 cohorts: a multi-state study. Acta Psychiatr Scand. 2019;140(6):541–51.

    PubMed  Google Scholar 

  9. Jeuring HW, Stek ML, Huisman M, Oude Voshaar RC, Naarding P, Collard RM, et al. A six-year prospective study of the prognosis and predictors in patients with late-life depression. Am J Geriatr Psychiatry Off J Am Assoc Geriatr Psychiatry. 2018;26(9):985–97.

    Google Scholar 

  10. Conejero I, Olie E, Courtet P, Calati R. Suicide in older adults: current perspectives. Clin Interv Aging. 2018;13:691–9.

    PubMed  Google Scholar 

  11. Sinyor M, Tan LP, Schaffer A, Gallagher D, Shulman K. Suicide in the oldest old: an observational study and cluster analysis. Int J Geriatr Psychiatry. 2016;31(1):33–40.

    PubMed  Google Scholar 

  12. Fried EI, Coomans F, Lorenzo-Luaces L. The 341,737 ways of qualifying for the melancholic specifier. Lancet Psychiatry. 2020;7(6):479–80.

    PubMed  Google Scholar 

  13. Fried EI. The 52 symptoms of major depression: lack of content overlap among seven common depression scales. J Affect Disord. 2017;208:191–7.

    PubMed  Google Scholar 

  14. Cai N, Choi KW, Fried EI. Reviewing the genetics of heterogeneity in depression: operationalizations, manifestations, and etiologies. Hum Mol Genet. 2020;29:R10–8.

    CAS  PubMed  PubMed Central  Google Scholar 

  15. Beekman AT, Copeland JR, Prince MJ. Review of community prevalence of depression in later life. Br J Psychiatry J Ment Sci. 1999;174:307–11.

    CAS  Google Scholar 

  16. Mohebbi M, Agustini B, Woods RL, McNeil JJ, Nelson MR, Shah RC, et al. Prevalence of depressive symptoms and its associated factors among healthy community-dwelling older adults living in Australia and the United States. Int J Geriatr Psychiatry. 2019;34(8):1208–16.

    PubMed  PubMed Central  Google Scholar 

  17. Forlani C, Morri M, Ferrari B, Dalmonte E, Menchetti M, De Ronchi D, et al. Prevalence and gender differences in late-life depression: a population-based study. Am J Geriatr Psychiatry Off J Am Assoc Geriatr Psychiatry. 2014;22(4):370–80.

    Google Scholar 

  18. Insel T. Transforming Diagnosis: National Institute of Mental Health; 2013. https://www.nimh.nih.gov/about/directors/thomas-insel/blog/2013/transforming-diagnosis.shtml. Accessed 29 Apr 2013.

  19. Borsboom D. A network theory of mental disorders. World Psychiatry Off J World Psychiatric Assoc. 2017;16(1):5–13.

    Google Scholar 

  20. Kendler KS. The nature of psychiatric disorders. World Psychiatry Off J World Psychiatr Assoc. 2016;15(1):5–12.

    Google Scholar 

  21. Parker G. Beyond major depression. Psychol Med. 2005;35(4):467–74.

    PubMed  Google Scholar 

  22. Parker G. The benefits of antidepressants: news or fake news? Br J Psychiatry J Ment Sci. 2018;213(2):454–5.

    Google Scholar 

  23. Maj M. Depression, bereavement, and “understandable” intense sadness: should the DSM-IV approach be revised? Am J Psychiatry. 2008;165(11):1373–5.

    PubMed  Google Scholar 

  24. Fried EI, Nesse RM. Depression is not a consistent syndrome: an investigation of unique symptom patterns in the STAR*D study. J Affect Disord. 2015;172:96–102.

    PubMed  Google Scholar 

  25. Pitsillou E, Bresnehan SM, Kagarakis EA, Wijoyo SJ, Liang J, Hung A, et al. The cellular and molecular basis of major depressive disorder: towards a unified model for understanding clinical depression. Mol Biol Rep. 2020;47(1):753–70.

    CAS  PubMed  Google Scholar 

  26. Lugtenburg A, Zuidersma M, Wardenaar KJ, Aprahamian I, Rhebergen D, Schoevers RA, et al. Subtypes of late-life depression: a data-driven approach on cognitive domains and physical frailty. J Gerontol Ser A. 2020;76(1):141–50.

    Google Scholar 

  27. Fried EI, Robinaugh DJ. Systems all the way down: embracing complexity in mental health research. BMC Med. 2020;18(1):205.

    PubMed  Google Scholar 

  28. Lee SL, Pearce E, Ajnakina O, Johnson S, Lewis G, Mann F, et al. The association between loneliness and depressive symptoms among adults aged 50 years and older: a 12-year population-based cohort study. Lancet Psychiatry. 2021;8(1):48–57.

    PubMed  PubMed Central  Google Scholar 

  29. Aziz R, Steffens DC. What are the causes of late-life depression? Psychiatr Clin N Am. 2013;36(4):497–516.

    Google Scholar 

  30. Otte C, Gold SM, Penninx BW, Pariante CM, Etkin A, Fava M, et al. Major depressive disorder. Nat Rev Dis Primers. 2016;2:16065.

    PubMed  Google Scholar 

  31. Green J, Castle D, Berk M, Hair C, Loughman A, Cryan J, et al. Faecal microbiota transplants for depression—who gives a crapsule? Aust N Z J Psychiatry. 2019;53(8):732–4.

    PubMed  Google Scholar 

  32. Malgaroli M, Calderon A, Bonanno GA. Networks of major depressive disorder: a systematic review. Clin Psychol Rev. 2021;85: https://doi.org/10.1016/j.cpr.2021.102000.

    Article  PubMed  Google Scholar 

  33. Fried EI, Cramer AOJ. Moving forward: challenges and directions for psychopathological network theory and methodology. Perspect Psychol Sci J Assoc Psychol Sci. 2017;12(6):999–1020.

    Google Scholar 

  34. Harmer CJ, Duman RS, Cowen PJ. How do antidepressants work? New perspectives for refining future treatment approaches. Lancet Psychiatry. 2017;4(5):409–18.

    PubMed  PubMed Central  Google Scholar 

  35. Löckenhoff CE. Aging and decision-making: a conceptual framework for future research—a mini-review. Gerontology. 2018;64(2):140–8.

    PubMed  Google Scholar 

  36. Gutsmiedl K, Krause M, Bighelli I, Schneider-Thoma J, Leucht S. How well do elderly patients with major depressive disorder respond to antidepressants: a systematic review and single-group meta-analysis. BMC Psychiatry. 2020;20(1):102.

    PubMed  Google Scholar 

  37. Cipriani A, Furukawa TA, Salanti G, Chaimani A, Atkinson LZ, Ogawa Y, et al. Comparative efficacy and acceptability of 21 antidepressant drugs for the acute treatment of adults with major depressive disorder: a systematic review and network meta-analysis. Lancet (London, England). 2018;391(10128):1357–66.

    CAS  PubMed Central  Google Scholar 

  38. Forester BP, Parikh SV, Weisenbach S, Ajilore O, Vahia I, Rothschild AJ, et al. Combinatorial pharmacogenomic testing improves outcomes for older adults with depression. Am J Geriatr Psychiatry Off J Am Assoc Geriatr Psychiatry. 2020;28(9):933–45.

    Google Scholar 

  39. Chin Fatt CR, Jha MK, Cooper CM, Fonzo G, South C, Grannemann B, et al. Effect of intrinsic patterns of functional brain connectivity in moderating antidepressant treatment response in major depression. Am J Psychiatry. 2020;177(2):143–54.

    PubMed  Google Scholar 

  40. Dodd S, Berk M, Kelin K, Zhang Q, Eriksson E, Deberdt W, et al. Application of the gradient boosted method in randomised clinical trials: participant variables that contribute to depression treatment efficacy of duloxetine, SSRIs or placebo. J Affect Disord. 2014;168:284–93.

    CAS  PubMed  Google Scholar 

  41. National Center for Health Statistics. Antidepressant Use Among Persons Aged 12 and Over: United States, 2011–2014: Centers for Disease Control and Prevention; 2017. https://www.cdc.gov/nchs/products/databriefs/db283.htm. Accessed 2 Nov 2020.

  42. OECD. Antidepressant drugs consumption, 2000 and 2015 (or nearest year): Organisation for Economic Cooperation and Development (OECD); 2017. https://www.oecd-ilibrary.org/social-issues-migration-health/health-at-a-glance-2017/antidepressant-drugs-consumption-2000-and-2015-or-nearest-year_health_glance-2017-graph181-en. Accessed 2 Nov 2020.

  43. Arthur A, Savva GM, Barnes LE, Borjian-Boroojeny A, Dening T, Jagger C, et al. Changing prevalence and treatment of depression among older people over 2 decades. Br J Psychiatry. 2020;216(1):49–54.

    PubMed  Google Scholar 

  44. Jorm AF, Patten SB, Brugha TS, Mojtabai R. Has increased provision of treatment reduced the prevalence of common mental disorders? Review of the evidence from four countries. World Psychiatry Off J World Psychiatric Assoc. 2017;16(1):90–9.

    Google Scholar 

  45. Fernandes BS, Williams LM, Steiner J, Leboyer M, Carvalho AF, Berk M. The new field of “precision psychiatry.” BMC Med. 2017;15(1):80.

    PubMed  Google Scholar 

  46. Maj M, Stein DJ, Parker G, Zimmerman M, Fava GA, De Hert M, et al. The clinical characterization of the adult patient with depression aimed at personalization of management. World Psychiatry Off J World Psychiatr Assoc. 2020;19(3):269–93.

    Google Scholar 

  47. Gadad BS, Jha MK, Czysz A, Furman JL, Mayes TL, Emslie MP, et al. Peripheral biomarkers of major depression and antidepressant treatment response: current knowledge and future outlooks. J Affect Disord. 2018;233:3–14.

    CAS  PubMed  Google Scholar 

  48. Hopp WJ, Li J, Wang G. Big data and the precision medicine revolution. Prod Oper Manag. 2018;27(9):1647–64.

    Google Scholar 

  49. Webb CA, Trivedi MH, Cohen ZD, Dillon DG, Fournier JC, Goer F, et al. Personalized prediction of antidepressant vs. placebo response: evidence from the EMBARC study. Psychol Med. 2019;49(7):1118–27.

    PubMed  Google Scholar 

  50. Tenke CE, Kayser J, Pechtel P, Webb CA, Dillon DG, Goer F, et al. Demonstrating test-retest reliability of electrophysiological measures for healthy adults in a multisite study of biomarkers of antidepressant treatment response. Psychophysiology. 2017;54(1):34–50.

    PubMed  PubMed Central  Google Scholar 

  51. Wu W, Zhang Y, Jiang J, Lucas MV, Fonzo GA, Rolle CE, et al. An electroencephalographic signature predicts antidepressant response in major depression. Nat Biotechnol. 2020;38(4):439–47.

    CAS  PubMed  PubMed Central  Google Scholar 

  52. Gillett G, Tomlinson A, Efthimiou O, Cipriani A. Predicting treatment effects in unipolar depression: a meta-review. Pharmacol Ther. 2020;212:107557.

    CAS  PubMed  Google Scholar 

  53. Smith RS. The macrophage theory of depression. Med Hypotheses. 1991;35(4):298–306.

    CAS  PubMed  Google Scholar 

  54. Berk M, Wadee AA, Kuschke RH, O’Neill-Kerr A. Acute phase proteins in major depression. J Psychosom Res. 1997;43(5):529–34.

    CAS  PubMed  Google Scholar 

  55. Raison CL, Miller AH. Is depression an inflammatory disorder? Curr Psychiatry Rep. 2011;13(6):467–75.

    PubMed  PubMed Central  Google Scholar 

  56. Osimo EF, Pillinger T, Rodriguez IM, Khandaker GM, Pariante CM, Howes OD. Inflammatory markers in depression: a meta-analysis of mean differences and variability in 5166 patients and 5083 controls. Brain Behav Immunity. 2020;87:901–9.

    CAS  Google Scholar 

  57. Osimo EF, Baxter LJ, Lewis G, Jones PB, Khandaker GM. Prevalence of low-grade inflammation in depression: a systematic review and meta-analysis of CRP levels. Psychol Med. 2019;49(12):1958–70.

    PubMed  PubMed Central  Google Scholar 

  58. Miller AH, Maletic V, Raison CL. Inflammation and its discontents: the role of cytokines in the pathophysiology of major depression. Biol Psychiatry. 2009;65(9):732–41.

    CAS  PubMed  PubMed Central  Google Scholar 

  59. Berk M, Williams LJ, Jacka FN, O’Neil A, Pasco JA, Moylan S, et al. So depression is an inflammatory disease, but where does the inflammation come from? BMC Med. 2013;11:200.

    PubMed  Google Scholar 

  60. Rantala MJ, Luoto S, Krams I, Karlsson H. Depression subtyping based on evolutionary psychiatry: proximate mechanisms and ultimate functions. Brain Behav Immun. 2018;69:603–17.

    PubMed  Google Scholar 

  61. Miller AH, Raison CL. The role of inflammation in depression: from evolutionary imperative to modern treatment target. Nat Rev Immunol. 2016;16(1):22–34.

    CAS  PubMed  PubMed Central  Google Scholar 

  62. van Eeden WA, van Hemert AM, Carlier IVE, Penninx B, Lamers F, Fried EI, et al. Basal and LPS-stimulated inflammatory markers and the course of individual symptoms of depression. Transl Psychiatry. 2020;10(1):235.

    PubMed  Google Scholar 

  63. Bremmer MA, Beekman AT, Deeg DJ, Penninx BW, Dik MG, Hack CE, et al. Inflammatory markers in late-life depression: results from a population-based study. J Affect Disord. 2008;106(3):249–55.

    CAS  PubMed  Google Scholar 

  64. Rozing MP, Veerhuis R, Westendorp RGJ, Eikelenboom P, Stek M, Marijnissen RM, et al. Inflammation in older subjects with early- and late-onset depression in the NESDO study: a cross-sectional and longitudinal case-only design. Psychoneuroendocrinology. 2019;99:20–7.

    CAS  PubMed  Google Scholar 

  65. Huang Y, Su Y, Chen H, Liu H, Hu J. Serum levels of CRP are associated with depression in a middle-aged and elderly population with diabetes mellitus: a diabetes mellitus-stratified analysis in a population-based study. J Affect Disord. 2021;281:351–7.

    CAS  PubMed  Google Scholar 

  66. Niles AN, Smirnova M, Lin J, O’Donovan A. Gender differences in longitudinal relationships between depression and anxiety symptoms and inflammation in the health and retirement study. Psychoneuroendocrinology. 2018;95:149–57.

    PubMed  PubMed Central  Google Scholar 

  67. Stewart JC, Rand KL, Muldoon MF, Kamarck TW. A prospective evaluation of the directionality of the depression-inflammation relationship. Brain Behav Immun. 2009;23(7):936–44.

    CAS  PubMed  PubMed Central  Google Scholar 

  68. van den Biggelaar AH, Gussekloo J, de Craen AJ, Frolich M, Stek ML, van der Mast RC, et al. Inflammation and interleukin-1 signaling network contribute to depressive symptoms but not cognitive decline in old age. Exp Gerontol. 2007;42(7):693–701.

    PubMed  Google Scholar 

  69. Sonsin-Diaz N, Gottesman RF, Fracica E, Walston J, Windham BG, Knopman DS, et al. Chronic systemic inflammation is associated with symptoms of late-life depression: the ARIC study. Am J Geriatr Psychiatry Off J Am Assoc Geriatr Psychiatry. 2020;28(1):87–98.

    Google Scholar 

  70. Bondy E, Norton SA, Voss M, Marks RB, Boudreaux MJ, Treadway M, et al. Inflammation is associated with future depressive symptoms among older adults. Brain Behav Immunity Health. 2021;100226.

  71. Brenner R, Madhusoodanan S, Logiudice J, Castell G, MacKenzie T, O’Shaughnessy PM. A comparison study of the turnaround time for telepsychiatry versus face-to-face consultations in general hospital nonpsychiatric emergency rooms. Ann Clin Psychiatry Off J Am Acad Clin Psychiatr. 2020;32(1):12–6.

    Google Scholar 

  72. Veltman EM, Lamers F, Comijs HC, Stek ML, van der Mast RC, Rhebergen D. Inflammatory markers and cortisol parameters across depressive subtypes in an older cohort. J Affect Disord. 2018;234:54–8.

    CAS  PubMed  Google Scholar 

  73. Yang C, Tiemessen KM, Bosker FJ, Wardenaar KJ, Lie J, Schoevers RA. Interleukin, tumor necrosis factor-α and C-reactive protein profiles in melancholic and non-melancholic depression: a systematic review. J Psychosom Res. 2018;111:58–68.

    PubMed  Google Scholar 

  74. Kokkeler KJE, Marijnissen RM, Wardenaar KJ, Rhebergen D, van den Brink RHS, van der Mast RC, et al. Subtyping late-life depression according to inflammatory and metabolic dysregulation: a prospective study. Psychol Med. 2020;1–11.

  75. Milaneschi Y, Lamers F, Berk M, Penninx B. Depression heterogeneity and its biological underpinnings: toward immunometabolic depression. Biol Psychiatry. 2020;88(5):369–80.

    CAS  PubMed  Google Scholar 

  76. Moriarity DP, Horn SR, Kautz MM, Haslbeck JMB, Alloy LB. How handling extreme C-reactive protein (CRP) values and regularization influences CRP and depression criteria associations in network analyses. Brain Behav Immun. 2021;91:393–403.

    CAS  PubMed  Google Scholar 

  77. Fried EI, von Stockert S, Haslbeck JMB, Lamers F, Schoevers RA, Penninx B. Using network analysis to examine links between individual depressive symptoms, inflammatory markers, and covariates. Psychol Med. 2020;50(16):2682–90.

    CAS  PubMed  Google Scholar 

  78. Majd M, Saunders EFH, Engeland CG. Inflammation and the dimensions of depression: a review. Front Neuroendocrinol. 2020;56:100800.

    PubMed  Google Scholar 

  79. Hu M, Shu X, Feng H, Xiao LD. Sleep, inflammation and cognitive function in middle-aged and older adults: a population-based study. J Affect Disord. 2021;284:120–5.

    PubMed  Google Scholar 

  80. Stahl ST, Smagula SF, Rodakowski J, Dew MA, Karp JF, Albert SM, et al. Subjective sleep quality and trajectories of interleukin-6 in older adults. Am J Geriatr Psychiatry. 2021;29(2):204–8.

    PubMed  Google Scholar 

  81. Martínez-Cengotitabengoa M, Carrascón L, O’Brien J, Gutiérrez MJ, Bermúdez-Ampudia C, Sanada K, et al. Peripheral inflammatory parameters in late-life depression: a systematic review. Int J Mol Sci. 2016;17:2022.

    PubMed Central  Google Scholar 

  82. Ng A, Tam WW, Zhang MW, Ho CS, Husain SF, McIntyre RS, et al. IL-1beta, IL-6, TNF- alpha and CRP in elderly patients with depression or Alzheimer’s disease: systematic review and meta-analysis. Sci Rep. 2018;8(1):12050.

    PubMed  Google Scholar 

  83. Smith KJ, Au B, Ollis L, Schmitz N. The association between C-reactive protein, Interleukin-6 and depression among older adults in the community: a systematic review and meta-analysis. Exp Gerontol. 2018;102:109–32.

    CAS  PubMed  Google Scholar 

  84. Goldsmith DR, Rapaport MH, Miller BJ. A meta-analysis of blood cytokine network alterations in psychiatric patients: comparisons between schizophrenia, bipolar disorder and depression. Mol Psychiatry. 2016;21(12):1696–709.

    CAS  PubMed  PubMed Central  Google Scholar 

  85. Brunoni AR, Supasitthumrong T, Teixeira AL, Vieira EL, Gattaz WF, Bensenor IM, et al. Differences in the immune-inflammatory profiles of unipolar and bipolar depression. J Affect Disord. 2020;262:8–15.

    CAS  PubMed  Google Scholar 

  86. Li X, Luo Z, Gu C, Hall LS, McIntosh AM, Zeng Y, et al. Common variants on 6q16.2, 12q24.31 and 16p13.3 are associated with major depressive disorder. Neuropsychopharmacol Off Publ Am Coll Neuropsychopharmacol. 2018;43(10):2146–53.

    CAS  Google Scholar 

  87. Cerri AP, Arosio B, Viazzoli C, Confalonieri R, Teruzzi F, Annoni G. 308(G/A) TNF-α gene polymorphism and risk of depression late in the life. Arch Gerontol Geriatr. 2009;49:29–34.

    CAS  PubMed  Google Scholar 

  88. Ancelin ML, Farré A, Carrière I, Ritchie K, Chaudieu I, Ryan J. C-reactive protein gene variants: independent association with late-life depression and circulating protein levels. Transl Psychiatry. 2015;5(1):e499.

    CAS  PubMed  Google Scholar 

  89. Almeida OP, Norman PE, Allcock R, Bockxmeer F, Hankey GJ, Jamrozik K, et al. Polymorphisms of the CRP gene inhibit inflammatory response and increase susceptibility to depression: the Health in Men Study. Int J Epidemiol. 2009;38(4):1049–59.

    PubMed  PubMed Central  Google Scholar 

  90. Luciano M, Houlihan LM, Harris SE, Gow AJ, Hayward C, Starr JM, et al. Association of existing and new candidate genes for anxiety, depression and personality traits in older people. Behav Genet. 2010;40(4):518–32.

    PubMed  Google Scholar 

  91. Cattaneo A, Ferrari C, Turner L, Mariani N, Enache D, Hastings C, et al. Whole-blood expression of inflammasome- and glucocorticoid-related mRNAs correctly separates treatment-resistant depressed patients from drug-free and responsive patients in the BIODEP study. Transl Psychiatry. 2020;10(1):232.

    CAS  PubMed  Google Scholar 

  92. Ryan J, Pilkington L, Neuhaus K, Ritchie K, Ancelin ML, Saffery R. Investigating the epigenetic profile of the inflammatory gene IL-6 in late-life depression. BMC Psychiatry. 2017;17(1):354.

    PubMed  Google Scholar 

  93. Köhler O, Benros ME, Nordentoft M, Farkouh ME, Iyengar RL, Mors O, et al. Effect of anti-inflammatory treatment on depression, depressive symptoms, and adverse effects: a systematic review and meta-analysis of randomized clinical trials. JAMA Psychiatr. 2014;71(12):1381–91.

    Google Scholar 

  94. Hiles SA, Baker AL, de Malmanche T, Attia J. Interleukin-6, C-reactive protein and interleukin-10 after antidepressant treatment in people with depression: a meta-analysis. Psychol Med. 2012;42(10):2015–26.

    CAS  PubMed  Google Scholar 

  95. Köhler CA, Freitas TH, Stubbs B, Maes M, Solmi M, Veronese N, et al. Peripheral alterations in cytokine and chemokine levels after antidepressant drug treatment for major depressive disorder: systematic review and meta-analysis. Mol Neurobiol. 2018;55(5):4195–206.

    PubMed  Google Scholar 

  96. Wang L, Wang R, Liu L, Qiao D, Baldwin DS, Hou R. Effects of SSRIs on peripheral inflammatory markers in patients with major depressive disorder: a systematic review and meta-analysis. Brain Behav Immun. 2019;79:24–38.

    CAS  PubMed  Google Scholar 

  97. Liu JJ, Wei YB, Strawbridge R, Bao Y, Chang S, Shi L, et al. Peripheral cytokine levels and response to antidepressant treatment in depression: a systematic review and meta-analysis. Mol Psychiatry. 2020;25(2):339–50.

    CAS  PubMed  Google Scholar 

  98. Hannestad J, DellaGioia N, Bloch M. The effect of antidepressant medication treatment on serum levels of inflammatory cytokines: a meta-analysis. Neuropsychopharmacol Off Publ Am Coll Neuropsychopharmacol. 2011;36(12):2452–9.

    CAS  Google Scholar 

  99. Çakici N, Sutterland AL, Penninx BWJH, Dalm VA, de Haan L, van Beveren NJM. Altered peripheral blood compounds in drug-naïve first-episode patients with either schizophrenia or major depressive disorder: a meta-analysis. Brain Behav Immun. 2020;88:547–58.

    PubMed  Google Scholar 

  100. Galecki P, Mossakowska-Wojcik J, Talarowska M. The anti-inflammatory mechanism of antidepressants—SSRIs, SNRIs. Prog Neuropsychopharmacol Biol Psychiatry. 2018;80(Pt C):291–4.

    CAS  PubMed  Google Scholar 

  101. Marshe VS, Maciukiewicz M, Hauschild A-C, Islam F, Qin L, Tiwari AK, et al. Genome-wide analysis suggests the importance of vascular processes and neuroinflammation in late-life antidepressant response. Transl Psychiatry. 2021;11(1):127.

    CAS  PubMed  Google Scholar 

  102. Rainville JR, Hodes GE. Inflaming sex differences in mood disorders. Neuropsychopharmacol Off Publ Am Coll Neuropsychopharmacol. 2019;44(1):184–99.

    CAS  Google Scholar 

  103. Jha MK, Minhajuddin A, Chin-Fatt C, Greer TL, Carmody TJ, Trivedi MH. Sex differences in the association of baseline c-reactive protein (CRP) and acute-phase treatment outcomes in major depressive disorder: findings from the EMBARC study. J Psychiatr Res. 2019;113:165–71.

    PubMed  PubMed Central  Google Scholar 

  104. Yang C, Wardenaar KJ, Bosker FJ, Li J, Schoevers RA. Inflammatory markers and treatment outcome in treatment resistant depression: a systematic review. J Affect Disord. 2019;257:640–9.

    CAS  PubMed  Google Scholar 

  105. Carlier A, Berkhof JG, Rozing M, Bouckaert F, Sienaert P, Eikelenboom P, et al. Inflammation and remission in older patients with depression treated with electroconvulsive therapy; findings from the MODECT study. J Affect Disord. 2019;256:509–16.

    PubMed  Google Scholar 

  106. Yrondi A, Sporer M, Peran P, Schmitt L, Arbus C, Sauvaget A. Electroconvulsive therapy, depression, the immune system and inflammation: a systematic review. Brain Stimul. 2018;11(1):29–51.

    PubMed  Google Scholar 

  107. Gay F, Romeo B, Martelli C, Benyamina A, Hamdani N. Cytokines changes associated with electroconvulsive therapy in patients with treatment-resistant depression: a meta-analysis. Psychiatry Res. 2021;297:113735.

    CAS  PubMed  Google Scholar 

  108. Soto-Angona Ó, Anmella G, Valdés-Florido MJ, De Uribe-Viloria N, Carvalho AF, Penninx BWJH, et al. Non-alcoholic fatty liver disease (NAFLD) as a neglected metabolic companion of psychiatric disorders: common pathways and future approaches. BMC Med. 2020;18(1):261.

    PubMed  Google Scholar 

  109. Treadway MT, Cooper JA, Miller AH. Can’t or won’t? Immunometabolic constraints on dopaminergic drive. Trends Cogn Sci. 2019;23(5):435–48.

    PubMed  PubMed Central  Google Scholar 

  110. Miller AH. Beyond depression: the expanding role of inflammation in psychiatric disorders. World Psychiatry Off J World Psychiatr Assoc. 2020;19(1):108–9.

    Google Scholar 

  111. Enache D, Pariante CM, Mondelli V. Markers of central inflammation in major depressive disorder: a systematic review and meta-analysis of studies examining cerebrospinal fluid, positron emission tomography and post-mortem brain tissue. Brain Behav Immun. 2019;81:24–40.

    PubMed  Google Scholar 

  112. Felger JC, Haroon E, Patel TA, Goldsmith DR, Wommack EC, Woolwine BJ, et al. What does plasma CRP tell us about peripheral and central inflammation in depression? Mol Psychiatry. 2020;25(6):1301–11.

    CAS  PubMed  Google Scholar 

  113. Lehmann ML, Poffenberger CN, Elkahloun AG, Herkenham M. Analysis of cerebrovascular dysfunction caused by chronic social defeat in mice. Brain Behav Immun. 2020;88:735–47.

    CAS  PubMed  PubMed Central  Google Scholar 

  114. Leonard BE. Inflammation and depression: a causal or coincidental link to the pathophysiology? Acta Neuropsychiatr. 2018;30(1):1–16.

    PubMed  Google Scholar 

  115. Turkheimer FE, Althubaity N, Schubert J, Nettis MA, Cousins O, Dima D, et al. Increased serum peripheral C-reactive protein is associated with reduced brain barriers permeability of TSPO radioligands in healthy volunteers and depressed patients: implications for inflammation and depression. Brain Behav Immunity. 2020;91:487–97.

    Google Scholar 

  116. Haroon E, Woolwine BJ, Chen X, Pace TW, Parekh S, Spivey JR, et al. IFN-alpha-induced cortical and subcortical glutamate changes assessed by magnetic resonance spectroscopy. Neuropsychopharmacol Off Publ Am Coll Neuropsychopharmacol. 2014;39(7):1777–85.

    CAS  Google Scholar 

  117. Haroon E, Fleischer CC, Felger JC, Chen X, Woolwine BJ, Patel T, et al. Conceptual convergence: increased inflammation is associated with increased basal ganglia glutamate in patients with major depression. Mol Psychiatry. 2016;21(10):1351–7.

    CAS  PubMed  PubMed Central  Google Scholar 

  118. Haroon E, Felger JC, Woolwine BJ, Chen X, Parekh S, Spivey JR, et al. Age-related increases in basal ganglia glutamate are associated with TNF, reduced motivation and decreased psychomotor speed during IFN-alpha treatment: preliminary findings. Brain Behav Immun. 2015;46:17–22.

    CAS  PubMed  Google Scholar 

  119. Jones BDM, Daskalakis ZJ, Carvalho AF, Strawbridge R, Young AH, Mulsant BH, et al. Inflammation as a treatment target in mood disorders: review. BJPsych Open. 2020;6(4):e60.

    PubMed  PubMed Central  Google Scholar 

  120. Alexopoulos GS, Morimoto SS. The inflammation hypothesis in geriatric depression. Int J Geriatr Psychiatry. 2011;26(11):1109–18.

    PubMed  PubMed Central  Google Scholar 

  121. Dantzer R, O’Connor JC, Freund GG, Johnson RW, Kelley KW. From inflammation to sickness and depression: when the immune system subjugates the brain. Nat Rev Neurosci. 2008;9(1):46–56.

    CAS  PubMed  PubMed Central  Google Scholar 

  122. Capuron L, Miller AH. Immune system to brain signaling: neuropsychopharmacological implications. Pharmacol Ther. 2011;130(2):226–38.

    CAS  PubMed  PubMed Central  Google Scholar 

  123. Miller AH, Haroon E, Raison CL, Felger JC. Cytokine targets in the brain: impact on neurotransmitters and neurocircuits. Depress Anxiety. 2013;30(4):297–306.

    CAS  PubMed  PubMed Central  Google Scholar 

  124. Marx W, McGuinness AJ, Rocks T, Ruusunen A, Cleminson J, Walker AJ, et al. The kynurenine pathway in major depressive disorder, bipolar disorder, and schizophrenia: a meta-analysis of 101 studies. Mol Psychiatry. 2020.

  125. Vieira EL, Mendes-Silva AP, Ferreira JD, Bertola L, Barroso L, Vieira M, et al. Oxidative DNA damage is increased in older adults with a major depressive episode: a preliminary study. J Affect Disord. 2021;279:106–10.

    CAS  PubMed  Google Scholar 

  126. Berk M, Dean O, Drexhage H, McNeil JJ, Moylan S, O’Neil A, et al. Aspirin: a review of its neurobiological properties and therapeutic potential for mental illness. BMC Med. 2013;11:74.

    CAS  PubMed  Google Scholar 

  127. Leonard B, Maes M. Mechanistic explanations how cell-mediated immune activation, inflammation and oxidative and nitrosative stress pathways and their sequels and concomitants play a role in the pathophysiology of unipolar depression. Neurosci Biobehav Rev. 2012;36(2):764–85.

    CAS  PubMed  Google Scholar 

  128. Cui W, Ning Y, Hong W, Wang J, Liu Z, Li MD. Crosstalk between inflammation and glutamate system in depression: signaling pathway and molecular biomarkers for ketamine’s antidepressant effect. Mol Neurobiol. 2019;56(5):3484–500.

    CAS  PubMed  Google Scholar 

  129. Felger JC, Li Z, Haroon E, Woolwine BJ, Jung MY, Hu X, et al. Inflammation is associated with decreased functional connectivity within corticostriatal reward circuitry in depression. Mol Psychiatry. 2016;21(10):1358–65.

    CAS  PubMed  Google Scholar 

  130. Maydych V. The interplay between stress, inflammation, and emotional attention: relevance for depression. Front Neurosci. 2019;13:384.

    PubMed  Google Scholar 

  131. Morris G, Puri BK, Olive L, Carvalho A, Berk M, Walder K, et al. Endothelial dysfunction in neuroprogressive disorders—causes and suggested treatments. BMC Med. 2020;18(1):305.

    CAS  PubMed  Google Scholar 

  132. Satizabal CL, Zhu YC, Mazoyer B, Dufouil C, Tzourio C. Circulating IL-6 and CRP are associated with MRI findings in the elderly: the 3C-Dijon Study. Neurology. 2012;78(10):720–7.

    CAS  PubMed  Google Scholar 

  133. van Agtmaal MJM, Houben A, Pouwer F, Stehouwer CDA, Schram MT. Association of microvascular dysfunction with late-life depression: a systematic review and meta-analysis. JAMA Psychiat. 2017;74(7):729–39.

    Google Scholar 

  134. Morris G, Puri BK, Walker AJ, Maes M, Carvalho AF, Bortolasci CC, et al. Shared pathways for neuroprogression and somatoprogression in neuropsychiatric disorders. Neurosci Biobehav Rev. 2019;107:862–82.

    CAS  PubMed  Google Scholar 

  135. Salo KI, Scharfen J, Wilden ID, Schubotz RI, Holling H. Confining the concept of vascular depression to late-onset depression: a meta-analysis of MRI-defined hyperintensity burden in major depressive disorder and bipolar disorder. Front Psychol. 2019;10:1241.

    PubMed  Google Scholar 

  136. Santos M, Xekardaki A, Kövari E, Gold G, Bouras C, Giannakopoulos P. Microvascular pathology in late-life depression. J Neurol Sci. 2012;322(1):46–9.

    PubMed  Google Scholar 

  137. Del Giudice M, Gangestad SW. Rethinking IL-6 and CRP: Why they are more than inflammatory biomarkers, and why it matters. Brain Behav Immun. 2018;70:61–75.

    PubMed  Google Scholar 

  138. Firth J, Solmi M, Wootton RE, Vancampfort D, Schuch FB, Hoare E, et al. A meta-review of “lifestyle psychiatry”: the role of exercise, smoking, diet and sleep in the prevention and treatment of mental disorders. World Psychiatry Off J World Psychiatr Assoc. 2020;19(3):360–80.

    Google Scholar 

  139. Gialluisi A, Bonaccio M, Di Castelnuovo A, Costanzo S, De Curtis A, Sarchiapone M, et al. Lifestyle and biological factors influence the relationship between mental health and low-grade inflammation. Brain Behav Immun. 2020;85:4–13.

    CAS  PubMed  Google Scholar 

  140. Berk M, Woods RL, Nelson MR, Shah RC, Reid CM, Storey E, et al. Effect of aspirin vs placebo on the prevention of depression in older people: a randomized clinical trial. JAMA Psychiat. 2020;77:1012–20.

    Google Scholar 

  141. Kim H-B, Kim J-S, Jung J-G. The association between aspirin use and depression: a systematic review and meta-analysis of observational studies. Pharmacoepidemiol Drug Saf. 2020;29:613–22.

    PubMed  Google Scholar 

  142. Gnauck A, Lentle RG, Kruger MC. Aspirin-induced increase in intestinal paracellular permeability does not affect the levels of LPS in venous blood of healthy women. Innate Immun. 2014;21(5):537–45.

    PubMed  Google Scholar 

  143. Cioccari L, Luethi N, Duong T, Ryan E, Cutuli SL, Lloyd-Donald P, et al. Cytokine and lipid metabolome effects of low-dose acetylsalicylic acid in critically ill patients with systemic inflammation: a pilot, feasibility, multicentre, randomised, placebo-controlled trial. Crit Care Resusc. 2020;22(3):227–36.

    PubMed  Google Scholar 

  144. Sanders KM, Stuart AL, Williamson EJ, Jacka FN, Dodd S, Nicholson G, et al. Annual high-dose vitamin D3 and mental well-being: randomised controlled trial. Br J Psychiatry. 2011;198(5):357–64.

    PubMed  Google Scholar 

  145. Okereke OI, Reynolds CF 3rd, Mischoulon D, Chang G, Vyas CM, Cook NR, et al. Effect of long-term vitamin D3 supplementation vs placebo on risk of depression or clinically relevant depressive symptoms and on change in mood scores: a randomized clinical trial. JAMA. 2020;324(5):471–80.

    CAS  PubMed  PubMed Central  Google Scholar 

  146. Rudolf U, Katherine ET, Tracy D, Wolfgang M, Ole M, Joanna H, et al. An inflammatory biomarker as a differential predictor of outcome of depression treatment with escitalopram and nortriptyline. Am J Psychiatry. 2014;171(12):1278–86.

    Google Scholar 

  147. Strawbridge R, Arnone D, Danese A, Papadopoulos A, Herane Vives A, Cleare AJ. Inflammation and clinical response to treatment in depression: a meta-analysis. Eur Neuropsychopharmacol J Eur Coll Neuropsychopharmacol. 2015;25(10):1532–43.

    CAS  Google Scholar 

  148. Geduldig ET, Kellner CH. Electroconvulsive therapy in the elderly: new findings in geriatric depression. Curr Psychiatry Rep. 2016;18(4):40.

    PubMed  Google Scholar 

  149. Kohler-Forsberg O, Lydholm CN, Hjorthoj C, Nordentoft M, Mors O, Benros ME. Efficacy of anti-inflammatory treatment on major depressive disorder or depressive symptoms: meta-analysis of clinical trials. Acta Psychiatr Scand. 2019;139(5):404–19.

    CAS  PubMed  Google Scholar 

  150. Sethi R, Gomez-Coronado N, Walker AJ, Robertson OD, Agustini B, Berk M, et al. Neurobiology and therapeutic potential of cyclooxygenase-2 (COX-2) inhibitors for inflammation in neuropsychiatric disorders. Front Psychiatry. 2019;10:605.

    PubMed  Google Scholar 

  151. Westwell-Roper C, Stewart SE. Commentary: neurobiology and therapeutic potential of cyclooxygenase-2 (COX-2) inhibitors for inflammation in neuropsychiatric disorders. Front Psychiatry. 2020;11:264.

    PubMed  Google Scholar 

  152. Bai S, Guo W, Feng Y, Deng H, Li G, Nie H, et al. Efficacy and safety of anti-inflammatory agents for the treatment of major depressive disorder: a systematic review and meta-analysis of randomised controlled trials. J Neurol Neurosurg Psychiatry. 2020;91(1):21–32.

    PubMed  Google Scholar 

  153. Andrade C. Anti-inflammatory treatments for depression: perspectives on how to read a meta-analysis critically. J Clin Psychiatry. 2019;80(3):19f12907.

    PubMed  Google Scholar 

  154. Fields C, Drye L, Vaidya V, Lyketsos C. Celecoxib or naproxen treatment does not benefit depressive symptoms in persons age 70 and older: findings from a randomized controlled trial. Am J Geriatr Psychiatry Off J Am Assoc Geriatr Psychiatry. 2012;20(6):505–13.

    Google Scholar 

  155. Berk M, Agustini B, Woods RL, Nelson MR, Shah RC, Reid CM, et al. Effects of aspirin on the long-term management of depression in older people: a double-blind randomised placebo-controlled trial. Mol Psychiatry. 2021.

  156. Köhler-Forsberg O, Otte C, Gold SM, Østergaard SD. Statins in the treatment of depression: hype or hope? Pharmacol Ther. 2020;215:107625.

    PubMed  Google Scholar 

  157. Carlsson CM, Papcke-Benson K, Carnes M, McBride PE, Stein JH. Health-related quality of life and long-term therapy with pravastatin and tocopherol (vitamin E) in older adults. Drugs Aging. 2002;19(10):793–805.

    CAS  PubMed  Google Scholar 

  158. Santanello NC, Barber BL, Applegate WB, Elam J, Curtis C, Hunninghake DB, et al. Effect of pharmacologic lipid lowering on health-related quality of life in older persons: results from the Cholesterol Reduction in Seniors Program (CRISP) Pilot Study. J Am Geriatr Soc. 1997;45(1):8–14.

    CAS  PubMed  Google Scholar 

  159. Morales K, Wittink M, Datto C, DiFilippo S, Cary M, TenHave T, et al. Simvastatin causes changes in affective processes in elderly volunteers. J Am Geriatr Soc. 2006;54(1):70–6.

    PubMed  Google Scholar 

  160. Kappelmann N, Lewis G, Dantzer R, Jones PB, Khandaker GM. Antidepressant activity of anti-cytokine treatment: a systematic review and meta-analysis of clinical trials of chronic inflammatory conditions. Mol Psychiatry. 2018;23(2):335–43.

    CAS  PubMed  Google Scholar 

  161. Raison CL, Rutherford RE, Woolwine BJ, Shuo C, Schettler P, Drake DF, et al. A randomized controlled trial of the tumor necrosis factor antagonist infliximab for treatment-resistant depression: the role of baseline inflammatory biomarkers. JAMA Psychiat. 2013;70(1):31–41.

    CAS  Google Scholar 

  162. McIntyre RS, Subramaniapillai M, Lee Y, Pan Z, Carmona NE, Shekotikhina M, et al. Efficacy of adjunctive infliximab vs placebo in the treatment of adults with bipolar I/II depression: a randomized clinical trial. JAMA Psychiat. 2019;76(8):783–90.

    Google Scholar 

  163. Lee Y, Subramaniapillai M, Brietzke E, Mansur RB, Ho RC, Yim SJ, et al. Anti-cytokine agents for anhedonia: targeting inflammation and the immune system to treat dimensional disturbances in depression. Ther Adv Psychopharmacol. 2018;8(12):337–48.

    CAS  PubMed  PubMed Central  Google Scholar 

  164. Maas DW, Westendorp RG, Willems JM, de Craen AJ, van der Mast RC. TNF-α antagonist infliximab in the treatment of depression in older adults: results of a prematurely ended, randomized, placebo-controlled trial. J Clin Psychopharmacol. 2010;30(3):343–5.

    PubMed  Google Scholar 

  165. Sun Y, Wang D, Salvadore G, Hsu B, Curran M, Casper C, et al. The effects of interleukin-6 neutralizing antibodies on symptoms of depressed mood and anhedonia in patients with rheumatoid arthritis and multicentric Castleman’s disease. Brain Behav Immun. 2017;66:156–64.

    CAS  PubMed  Google Scholar 

  166. ClinicalTrials.gov. An efficacy and safety study of Sirukumab in participants with major depressive disorder. 2019. https://clinicaltrials.gov/ct2/show/results/NCT02473289.

  167. Rapaport MH, Nierenberg AA, Schettler PJ, Kinkead B, Cardoos A, Walker R, et al. Inflammation as a predictive biomarker for response to omega-3 fatty acids in major depressive disorder: a proof-of-concept study. Mol Psychiatry. 2016;21(1):71–9.

    CAS  PubMed  Google Scholar 

  168. da Silva TM, Munhoz RP, Alvarez C, Naliwaiko K, Kiss A, Andreatini R, et al. Depression in Parkinson’s disease: a double-blind, randomized, placebo-controlled pilot study of omega-3 fatty-acid supplementation. J Affect Disord. 2008;111(2–3):351–9.

    PubMed  Google Scholar 

  169. Rondanelli M, Giacosa A, Opizzi A, Pelucchi C, La Vecchia C, Montorfano G, et al. Effect of omega-3 fatty acids supplementation on depressive symptoms and on health-related quality of life in the treatment of elderly women with depression: a double-blind, placebo-controlled, randomized clinical trial. J Am Coll Nutr. 2010;29(1):55–64.

    CAS  PubMed  Google Scholar 

  170. Kounali D, Button KS, Lewis G, Gilbody S, Kessler D, Araya R, et al. How much change is enough? Evidence from a longitudinal study on depression in UK primary care. Psychol Med. 2020;1–8.

  171. Sugasini D, Yalagala PCR, Subbaiah PV. Plasma BDNF is a more reliable biomarker than erythrocyte omega-3 index for the omega-3 fatty acid enrichment of brain. Sci Rep. 2020;10(1):10809.

    CAS  PubMed  Google Scholar 

  172. Bao B, Prasad AS, Beck FW, Fitzgerald JT, Snell D, Bao GW, et al. Zinc decreases C-reactive protein, lipid peroxidation, and inflammatory cytokines in elderly subjects: a potential implication of zinc as an atheroprotective agent. Am J Clin Nutr. 2010;91(6):1634–41.

    CAS  PubMed  PubMed Central  Google Scholar 

  173. Asbaghi O, Sadeghian M, Nazarian B, Sarreshtedari M, Mozaffari-Khosravi H, Maleki V, et al. The effect of vitamin E supplementation on selected inflammatory biomarkers in adults: a systematic review and meta-analysis of randomized clinical trials. Sci Rep. 2020;10(1):17234.

    CAS  PubMed  Google Scholar 

  174. Capuron L, Moranis A, Combe N, Cousson-Gélie F, Fuchs D, De Smedt-Peyrusse V, et al. Vitamin E status and quality of life in the elderly: influence of inflammatory processes. Br J Nutr. 2009;102(10):1390–4.

    CAS  PubMed  PubMed Central  Google Scholar 

  175. Das A, Cumming RG, Naganathan V, Ribeiro RV, Le Couteur DG, Handelsman DJ, et al. The association between antioxidant intake, dietary pattern and depressive symptoms in older Australian men: the Concord Health and Ageing in Men Project. Eur J Nutr. 2021;60(1):443–54.

    CAS  PubMed  Google Scholar 

  176. Nettis MA, Lombardo G, Hastings C, Zajkowska Z, Mariani N, Nikkheslat N, et al. Augmentation therapy with minocycline in treatment-resistant depression patients with low-grade peripheral inflammation: results from a double-blind randomised clinical trial. Neuropsychopharmacol Off Publ Am Coll Neuropsychopharmacol. 2021;46:939–48.

    CAS  Google Scholar 

  177. Zazula R, Husain MI, Mohebbi M, Walker AJ, Chaudhry IB, Khoso AB, et al. Minocycline as adjunctive treatment for major depressive disorder: pooled data from two randomized controlled trials. Aust N Z J Psychiatry. 2020.

  178. Husain MI, Cullen C, Umer M, Carvalho AF, Kloiber S, Meyer JH, et al. Minocycline as adjunctive treatment for treatment-resistant depression: study protocol for a double blind, placebo-controlled, randomized trial (MINDEP2). BMC Psychiatry. 2020;20(1):173.

    PubMed  Google Scholar 

  179. Avari JN, Kanellopoulos D, Solomonov N, Oberlin L, Alexopoulos GS. Minocycline augmentation in older adults with persistent depression: an open label proof of concept study. Int Psychogeriatr. 2020;32(7):881–4.

    PubMed  Google Scholar 

  180. Guu T-W, Mischoulon D, Sarris J, Hibbeln J, McNamara RK, Hamazaki K, et al. A multi-national, multi-disciplinary Delphi consensus study on using omega-3 polyunsaturated fatty acids (n-3 PUFAs) for the treatment of major depressive disorder. J Affect Disord. 2020;265:233–8.

    PubMed  Google Scholar 

  181. Fourrier C, Sampson E, Mills NT, Baune BT. Anti-inflammatory treatment of depression: study protocol for a randomised controlled trial of vortioxetine augmented with celecoxib or placebo. Trials. 2018;19(1):447.

    PubMed  Google Scholar 

  182. Cristancho P, Lenard E, Lenze EJ, Miller JP, Brown PJ, Roose SP, et al. Optimizing outcomes of treatment-resistant depression in older adults (OPTIMUM): study design and treatment characteristics of the first 396 participants randomized. Am J Geriatr Psychiatry Off J Am Assoc Geriatr Psychiatry. 2019;27(10):1138–52.

    Google Scholar 

  183. Berk M, Walker AJ, Nierenberg AA. Biomarker-guided anti-inflammatory therapies: from promise to reality check. JAMA Psychiat. 2019;76(8):779–80.

    Google Scholar 

  184. Najjar S, Pearlman DM, Alper K, Najjar A, Devinsky O. Neuroinflammation and psychiatric illness. J Neuroinflammation. 2013;10(1):816.

    Google Scholar 

  185. Meyer JH, Cervenka S, Kim M-J, Kreisl WC, Henter ID, Innis RB. Neuroinflammation in psychiatric disorders: PET imaging and promising new targets. Lancet Psychiatry. 2020;7(12):1064–74.

    PubMed  PubMed Central  Google Scholar 

  186. Beurel E, Toups M, Nemeroff CB. The bidirectional relationship of depression and inflammation: double trouble. Neuron. 2020;107(2):234–56.

    CAS  PubMed  Google Scholar 

  187. Fried EI, Nesse RM. Depression sum-scores don’t add up: why analyzing specific depression symptoms is essential. BMC Med. 2015;13(1):72.

    PubMed  Google Scholar 

  188. Berk M. The classification of biomarkers. JAMA Psychiat. 2015;72(10):1056–7.

    Google Scholar 

  189. Reynolds CF. Optimizing personalized management of depression: the importance of real-world contexts and the need for a new convergence paradigm in mental health. World Psychiatry Off J World Psychiatr Assoc. 2020;19(3):266–8.

    Google Scholar 

  190. Macneil CA, Hasty MK, Conus P, Berk M. Is diagnosis enough to guide interventions in mental health? Using case formulation in clinical practice. BMC Med. 2012;10(1):111.

    PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Malcolm P. Forbes.

Ethics declarations

Funding

No sources of funding were used to assist with the preparation of this review.

Conflict of interest

MF, AO, ML, BA, NM and MB declare no conflict of interest. MB is supported by an NHMRC Senior Principal Research Fellowship (1156072). MB has received Grant/Research Support from the NIH, Cooperative Research Centre, Simons Autism Foundation, Cancer Council of Victoria, Stanley Medical Research Foundation, Medical Benefits Fund, National Health and Medical Research Council, Medical Research Futures Fund, Beyond Blue, Rotary Health, A2 milk company, Meat and Livestock Board, Woolworths, Avant and the Harry Windsor Foundation; has been a speaker for Abbot, Astra Zeneca, Janssen and Janssen, Lundbeck and Merck; and served as a consultant to Allergan, Astra Zeneca, Bioadvantex, Bionomics, Collaborative Medicinal Development, Janssen and Janssen, Lundbeck Merck, Pfizer and Servier—all unrelated to this work. AO is supported by a Future Leader Fellowship (#101160) from the Heart Foundation Australia and Wilson Foundation. She has received research funding from National Health & Medical Research Council, Australian Research Council, University of Melbourne, Deakin University, Sanofi, Meat and Livestock Australia and Woolworths Limited and Honoraria from Novartis. The Food & Mood Centre has received funding from the Fernwood Foundation, the A2 Milk Company and Be Fit Foods unrelated to this paper.

Ethical approval

Not applicable.

Consent to participate

Not applicable.

Consent for publication

Not applicable.

Code availability

Not applicable.

Availability of data and material

Not applicable.

Authors’ contribution

MF, AO and MB conceptualised the paper. MF wrote the first draft, with AO, ML and MB. BA and NM reviewed and edited the manuscript.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Forbes, M.P., O’Neil, A., Lane, M. et al. Major Depressive Disorder in Older Patients as an Inflammatory Disorder: Implications for the Pharmacological Management of Geriatric Depression. Drugs Aging 38, 451–467 (2021). https://doi.org/10.1007/s40266-021-00858-2

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40266-021-00858-2

Navigation