Anti-Inflammatory Action of Antidepressants: Investigating the Longitudinal Effect of Antidepressants on White Blood Cell Count
Introduction: Antidepressants have documented anti-inflammatory effects on pro-inflammatory biomarkers. However, the long-term effects of antidepressants on inflammatory markers and the effects of different antidepressant classes on pro-inflammatory biomarkers are largely unexplored. Here, we evalua...
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Published in | Complex psychiatry Vol. 9; no. 1-4; pp. 1 - 10 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Basel, Switzerland
S. Karger AG
01.12.2023
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Online Access | Get full text |
ISSN | 2673-3005 2673-298X |
DOI | 10.1159/000528605 |
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Abstract | Introduction: Antidepressants have documented anti-inflammatory effects on pro-inflammatory biomarkers. However, the long-term effects of antidepressants on inflammatory markers and the effects of different antidepressant classes on pro-inflammatory biomarkers are largely unexplored. Here, we evaluate the short- and long-term effects of all antidepressant classes on a clinical immune marker, white blood cell count (WBC). Methods: Using a retrospective study design, we extracted WBC count and prescription medications from electronic health records at Vanderbilt University Medical Center. We created a longitudinal model to evaluate the short- and long-term effects of these medications on WBC count. We validated our longitudinal model using two known anti-inflammatory medications, biologic immunosuppressants, and chemotherapy, and one medication class without known immunomodulatory properties, contraceptives. We used the longitudinal model to determine the effects of antidepressant use on WBC count stratified by drug class. Results: Biologic immunosuppressant and chemotherapy use was associated with decreased WBC count, but contraceptive use did not associate with changes in WBC count, validating our longitudinal modeling approach. All antidepressant classes were associated with decreased WBC count in the long-term cohorts. SSRI and atypical use also associated with decreased WBC count in the short-term cohort. Conclusions: Using electronic health record data, we show all antidepressant classes exhibit anti-inflammatory effects on a clinical immune marker, WBC count. Additionally, our results indicate that in some cases the anti-inflammatory effects of antidepressants persist over at least a 1-year time frame. Our work contributes to the immunomodulatory knowledge of antidepressants and motivates future studies investigating alternative therapeutic routes for antidepressants. |
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AbstractList | Antidepressants have documented anti-inflammatory effects on pro-inflammatory biomarkers. However, the long-term effects of antidepressants on inflammatory markers and the effects of different antidepressant classes on pro-inflammatory biomarkers are largely unexplored. Here, we evaluate the short- and long-term effects of all antidepressant classes on a clinical immune marker, white blood cell count (WBC).
Using a retrospective study design, we extracted WBC count and prescription medications from electronic health records at Vanderbilt University Medical Center. We created a longitudinal model to evaluate the short- and long-term effects of these medications on WBC count. We validated our longitudinal model using two known anti-inflammatory medications, biologic immunosuppressants, and chemotherapy, and one medication class without known immunomodulatory properties, contraceptives. We used the longitudinal model to determine the effects of antidepressant use on WBC count stratified by drug class.
Biologic immunosuppressant and chemotherapy use was associated with decreased WBC count, but contraceptive use did not associate with changes in WBC count, validating our longitudinal modeling approach. All antidepressant classes were associated with decreased WBC count in the long-term cohorts. SSRI and atypical use also associated with decreased WBC count in the short-term cohort.
Using electronic health record data, we show all antidepressant classes exhibit anti-inflammatory effects on a clinical immune marker, WBC count. Additionally, our results indicate that in some cases the anti-inflammatory effects of antidepressants persist over at least a 1-year time frame. Our work contributes to the immunomodulatory knowledge of antidepressants and motivates future studies investigating alternative therapeutic routes for antidepressants. Introduction: Antidepressants have documented anti-inflammatory effects on pro-inflammatory biomarkers. However, the long-term effects of antidepressants on inflammatory markers and the effects of different antidepressant classes on pro-inflammatory biomarkers are largely unexplored. Here, we evaluate the short- and long-term effects of all antidepressant classes on a clinical immune marker, white blood cell count (WBC). Methods: Using a retrospective study design, we extracted WBC count and prescription medications from electronic health records at Vanderbilt University Medical Center. We created a longitudinal model to evaluate the short- and long-term effects of these medications on WBC count. We validated our longitudinal model using two known anti-inflammatory medications, biologic immunosuppressants, and chemotherapy, and one medication class without known immunomodulatory properties, contraceptives. We used the longitudinal model to determine the effects of antidepressant use on WBC count stratified by drug class. Results: Biologic immunosuppressant and chemotherapy use was associated with decreased WBC count, but contraceptive use did not associate with changes in WBC count, validating our longitudinal modeling approach. All antidepressant classes were associated with decreased WBC count in the long-term cohorts. SSRI and atypical use also associated with decreased WBC count in the short-term cohort. Conclusions: Using electronic health record data, we show all antidepressant classes exhibit anti-inflammatory effects on a clinical immune marker, WBC count. Additionally, our results indicate that in some cases the anti-inflammatory effects of antidepressants persist over at least a 1-year time frame. Our work contributes to the immunomodulatory knowledge of antidepressants and motivates future studies investigating alternative therapeutic routes for antidepressants. |
Author | Chen, Guanhua Sealock, Julia M. Davis, Lea K. |
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Keywords | Antidepressants Electronic health records Inflammation |
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References_xml | – reference: Beydoun MA, Beydoun HA, Dore GA, Canas JA, Fanelli-Kuczmarski MT, Evans MK. White blood cell inflammatory markers are associated with depressive symptoms in a longitudinal study of urban adults. Transl Psychiatry. 2016;6(9):e895. – reference: Lippi G, Targher G, Montagnana M, Salvagno GL, Zoppini G, Guidi GC. Relation between red blood cell distribution width and inflammatory biomarkers in a large cohort of unselected outpatients. Arch Pathol Lab Med. 2009;133(4):628–32. – reference: Stone KJ, Viera AJ, Parman CL. Off-label applications for SSRIs. Am Fam Physician. 2003;68(3):498–504. – reference: Mojtabai R, Olfson M. Proportion of antidepressants prescribed without A psychiatric diagnosis is growing. Health Aff. 2011;30(8):1434–42. – reference: Lanquillon S, Krieg JC, Bening-Abu-Shach U, Vedder H. Cytokine production and treatment response in major depressive disorder. Neuropsychopharmacology. 2000;22(4):370–9. – reference: 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. – reference: The United States pharmacopeia. The National formulary. – reference: Lynall M, Turner L, Bhatti J, Cavanagh J, de Boer P, Mondelli V. Peripheral blood cell-stratified subgroups of inflamed depression. Biol Psychiatry. 2020 Jul 1588218596. – reference: Hannestad J, Dellagioia N, Bloch M. The effect of antidepressant medication treatment on serum levels of inflammatory cytokines: a meta-analysis. Neuropsychopharmacology. 2011;36(12):2452–9. – reference: Shafiee M, Tayefi M, Hassanian SM, Ghaneifar Z, Parizadeh MR, Avan A. Depression and anxiety symptoms are associated with white blood cell count and red cell distribution width: a sex-stratified analysis in a population-based study. Psychoneuroendocrinology. 2017;84:101–8. – reference: Beydoun MA, Obhi HK, Weiss J, Canas JA, Beydoun HA, Evans MK. Systemic inflammation is associated with depressive symptoms differentially by sex and race: a longitudinal study of urban adults. Mol Psychiatry. 2020;25(6):1286–300. – reference: Fuentes AV, Pineda MD, Venkata KCN. Comprehension of top 200 prescribed drugs in the US as a resource for pharmacy teaching, training and practice. Pharmacy. 2018;6(2):43. – reference: De Berardis D, Campanella D, Gambi F, La Rovere R, Carano A, Conti CM. The role of C-reactive protein in mood disorders. Int J Immunopathol Pharmacol. 2006;19(4):721–5. – reference: Lee J-M, Nadimpalli SB, Yoon JH, Mun SY, Suh I, Kim HC. Association between mean corpuscular hemoglobin concentration and future depressive symptoms in women. Tohoku J Exp Med. 2017;241(3):209–17. – reference: Xu H, Stenner SP, Doan S, Johnson KB, Waitman LR, Denny JC. MedEx: a medication information extraction system for clinical narratives. J Am Med Inform Assoc. 2010;17(1):19–24. – reference: Jakubovski E, Johnson JA, Nasir M, Müller-Vahl K, Bloch MH. Systematic review and meta-analysis: dose–response curve of SSRIs and SNRIs in anxiety disorders. Depress Anxiety. 2019;36(3):198–212. – reference: Sansone RA, Sansone LA. Pain, pain, go away: antidepressants and pain management. Psychiatry. 2008;5(12):16–9. – reference: Euteneuer F, Dannehl K, Del Rey A, Engler H, Schedlowski M, Rief W. Peripheral immune alterations in major depression: the role of subtypes and pathogenetic characteristics. Front Psychiatry. 2017;8:250–13. – reference: 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. – reference: Maust DT, Sirey JA, Kales HC. Antidepressant prescribing in primary care to older adults without major depression. Psychiatr Serv. 2017;68(5):449–55. – reference: Bates D, Mächler M, Bolker BM, Walker SC. Fitting linear mixed-effects models using lme4. J Stat Soft. 2015671). – reference: Canan F, Ataoglu A. Effect of escitalopram on white blood cells in patients with major depression. J Clin Med Res. 2009;1(5):290–1. – reference: Vulser H, Lemogne C, Boutouyrie P, Cote F, Perier MC, Van Sloten T. Depression, antidepressants and low hemoglobin level in the Paris Prospective Study III: a cross-sectional analysis. Prev Med. 2020;135:106050. – reference: Milea D, Verpillat P, Guelfucci F, Toumi M, Lamure M. Prescription patterns of antidepressants: findings from a US claims database. Curr Med Res Opin. 2010;26(6):1343–53. – reference: May HT. Abstract 11979: red cell distribution width and depression among patients undergoing angiography. 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Snippet | Introduction: Antidepressants have documented anti-inflammatory effects on pro-inflammatory biomarkers. However, the long-term effects of antidepressants on... Antidepressants have documented anti-inflammatory effects on pro-inflammatory biomarkers. However, the long-term effects of antidepressants on inflammatory... |
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Title | Anti-Inflammatory Action of Antidepressants: Investigating the Longitudinal Effect of Antidepressants on White Blood Cell Count |
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