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Associations between peripheral inflammation and clinical phenotypes of bipolar depression in a lower-middle income country

Published online by Cambridge University Press:  10 May 2023

Brett D.M. Jones
Affiliation:
Department of Psychiatry, University of Toronto, Toronto, ON, Canada Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada
Urbee Mahmood
Affiliation:
Department of Pharmacology and Toxicology, University of Toronto, Toronto, ON, Canada
John Hodsoll
Affiliation:
Department of Psychological Medicine, King’s College London, London, UK
Imran B. Chaudhry
Affiliation:
Department of Psychiatry, Dow University of Health Sciences, Karachi, Pakistan
Ameer B. Khoso
Affiliation:
Division of Mood Disorders, Pakistan Institute of Learning and Living, Karachi, Pakistan
Mohammed O. Husain
Affiliation:
Department of Psychiatry, University of Toronto, Toronto, ON, Canada Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada
Abigail Ortiz
Affiliation:
Department of Psychiatry, University of Toronto, Toronto, ON, Canada Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada
Nusrat Husain
Affiliation:
Division of Psychology and Mental Health, University of Manchester, Manchester, UK
Benoit H. Mulsant
Affiliation:
Department of Psychiatry, University of Toronto, Toronto, ON, Canada Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada
Allan H. Young
Affiliation:
Department of Psychological Medicine, King’s College London, London, UK
Muhammad I. Husain*
Affiliation:
Department of Psychiatry, University of Toronto, Toronto, ON, Canada Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada Department of Pharmacology and Toxicology, University of Toronto, Toronto, ON, Canada
*
Corresponding author: Muhammad I. Husain; Email: Ishrat.husain@camh.ca
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Abstract

Objective

There has been increased interest in repurposing anti-inflammatories for the treatment of bipolar depression. Evidence from high-income countries suggests that these agents may work best for specific depressive symptoms in a subset of patients with biochemical evidence of inflammation but data from lower-middle income countries (LMICs) is scarce. This secondary analysis explored the relationship between pretreatment inflammatory markers and specific depressive symptoms, clinical measures, and demographic variables in participants with bipolar depression in Pakistan.

Methods

The current study is a cross-sectional secondary analysis of a randomized controlled trial of two anti-inflammatory medications (minocycline and celecoxib) for bipolar depression (n = 266). A series of logistic and linear regression models were completed to assess the relationship between C-reactive protein (CRP) (CRP > or < 3 mg/L and log10CRP) and clinical and demographic features of interest and symptoms of depression. Baseline clinical trial data was used to extract clinical and demographic features and symptoms of depression were assessed using the 24-item Hamilton Depression Rating Scale.

Results

The prevalence of low-grade inflammation (CRP > 3 mg/L) in the sample was 70.9%. After adjusting for baseline body mass index, socioeconomic status, age, gender, symptoms related to anhedonia, fatigue, and motor retardation were most associated with low-grade inflammation.

Conclusions

Bipolar disorder (BD) patients from LMICs may experience higher rates of peripheral inflammation than have been reported in Western populations with BD. Future trials of repurposed anti-inflammatory agents that enrich for participants with these symptom profiles may inform the development of personalized treatment for bipolar depression in LMICs.

Information

Type
Original Research
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2023. Published by Cambridge University Press
Figure 0

Table 1. Symptom Clusters for HDRS-24

Figure 1

Table 2. Baseline Mean Demographic and Clinical Variables in the Entire Group and Split by Inflammation Status (CRP < 3 or CRP > 3)

Figure 2

Table 3. Logistic Regression Model with Inflammation Status (CRP < 3 or CRP > 3) as Dependent Variable, Controlling for Age, BMI, Gender, and SES

Figure 3

Figure 1. Odds ratio and 95% confidence interval of low-grade inflammation (CRP > 3) controlling for age, BMI, gender, and SES.

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