ArticleComplex psychiatry2023
Anti-Inflammatory Action of Antidepressants: Investigating the Longitudinal Effect of Antidepressants on White Blood Cell Count.
Article in Complex psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed, 7 citations in OpenAlex.
- Population-Based Case-Control Study of Antidepressants in Early and Average-Age Onset Colorectal Cancer: The Impact of Exposure Window, Class, Dose, and Intensity.Pharmacoepidemiology and drug safety · 2026Article
- All-cause and cause-specific mortality in people with depression: a large-scale systematic review and meta-analysis of relative risk and aggravating or attenuating factors, including antidepressant treatment.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2025Article
- Biomarkers associated with antidepressant response and illness severity in major depressive disorder: a pilot study.Pharmacological reports : PR · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 3 institutions in 1 country.
Funding
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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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.