The DOI matches its Crossref record; 255 of the 258 references it cites were found in a registry or an index.
Replication and reproducibility issues in the relationship between C-reactive protein and depression: A systematic review and focused meta-analysis
Open accessAbstract
One of the most common inflammatory markers examined in depression is C-reactive protein (CRP). However, the magnitude of the association between CRP and depression when controlling for potentially confounding factors such as age, sex, socio-economic status, body mass index, medication and other substance use, and medical illness, is unclear. Inconsistencies in other methodological practices, such as sample collection, assaying, and data cleaning and transformation, may contribute to variations in results. We aggregate studies that examined the association between CRP and depression in two ways. First, a systematic review summarizes how studies of CRP and depression have reported on methodological issues. Second, a tiered meta-analysis aggregates studies that have adhered to various levels of methodological rigor. Findings from the systematic review indicate a lack of protocol detail provided. The effect between depression and CRP was small, but highly significant across all stages of the meta-analysis (p < 0.01). The effect size in the most methodologically rigorous stage of the meta-analysis, which included studies controlling for age, sex, obesity, medical conditions and substance, medication, or psychosocial factors, was small (r = 0.05). There were also only 26 articles in this stage (13% of studies from the systematic review), suggesting that more studies that consistently account for these confounding factors are needed. Additionally, an a priori quality score of methodological rigor was a significant moderator in this stage of the meta-analysis. The effect size was strikingly attenuated (r = 0.005) and non-significant in studies with higher quality scores. We describe a set of recommended guidelines for future research to consider, including sample collection and assaying procedures, data cleaning and statistical methods, and control variables to assess.
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“Based on prior work,12,45,46 we controlled for extraneous factors associated with inflammation.”
From Social Media Use and Its Link to Physical Health Indicators (2022) · cites this paper as [45]
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“Based on prior work (Horn et al., 2018; Lee and Way, 2019; O'Connor et al., 2009), we controlled for extraneous factors that have been associated with inflammation.”
From Social media use and systemic inflammation: The moderating role of self-esteem (2021) · cites this paper as Horn et al., 2018
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“as they have been shown to have anti-inflammatory properties (see Horn et al., 2018).”
From Social media use and systemic inflammation: The moderating role of self-esteem (2021) · cites this paper as Horn et al., 2018
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“Furthermore, neurovascular damage induced by the peripheral myeloid cells, pro-inflammatory cytokines, and the dysregulation of the complement pathways could be a further potential mechanism of action [36,37,38].”
From C-Reactive protein as a biomarker for major depressive disorder? (2022) · cites this paper as [38]
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Overweight, Obesity, and Depression: A Systematic Review and Meta-analysis of Longitudinal Studies
Luppino, F. S., de Wit, L. M., Bouvy, P. F., Stijnen, T., Cuijpers, P., Penninx, B. W. J. H., & Zitman, F. G. (2010) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2010.2 · Cited by 4,322
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Inflammation and Its Discontents: The Role of Cytokines in the Pathophysiology of Major Depression
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Fried, E. I., von Stockert, S., Haslbeck, J. M. B., Lamers, F., Schoevers, R. A., & Penninx, B. W. J. H. (2019) · Psychological Medicine · doi:10.1017/s0033291719002770 · Cited by 260
Lamers, F., Milaneschi, Y., Smit, J. H., Schoevers, R. A., Wittenberg, G. M., & Penninx, B. W. J. H. (2019) · Biological Psychiatry · doi:10.1016/j.biopsych.2018.12.020 · Cited by 225
Frank, P., Jokela, M. M., Batty, G. D., Cadar, D., Steptoe, A., & Mika Kivimaki, B. (2021) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2021.20121776 · Cited by 192
C-Reactive protein as a biomarker for major depressive disorder?
Orsolini, L., Pompili, S., Tempia Valenta, S., Salvi, V., & Volpe, U. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23031616 · Cited by 171
Depression profilers and immuno-metabolic dysregulation: Longitudinal results from the NESDA study
Lamers, F., Milaneschi, Y., Vinkers, C. H., Schoevers, R. A., Giltay, E. J., & Penninx, B. W. J. H. (2020) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2020.04.002 · Cited by 161
Metadata
- Authors
- Horn, S. R., Long, M. M., Nelson, B. W., Allen, N. B., Fisher, P. A., & Byrne, M. L.
- Affiliations
- University of Oregon (US)
- Leiden University (NL)
- Corresponding author
- Horn, Sarah R.
- Venue
- Brain, Behavior, and Immunity
- Publisher
- Elsevier BV
- Published
- 2018-10
- Volume
- 73
- Pages
- 85-114
- ISSN
- 0889-1591 (ISSN-L)
- PMC
- PMC6800199
- OpenAlex
- W2809379956
- Cited by
- 129
- References
- 258
- Citations by year
- 2026: 7 · 2025: 10 · 2024: 14 · 2023: 18 · 2022: 21 · 2021: 19 · 2020: 19 · 2019: 16 · 2018: 4
- FWCI
- 1.27
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Brain Behavior and Immunity (acceptedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Science Foundation Graduate Research Fellowship Program (2017244647)
- NIH (R01 HD075716, P50 DA035763)
- National Institute of Mental Health of the National Institutes of Health (K01MH111951)
- Topics
- Life Sciences › Neuroscience › Biological Psychiatry › Tryptophan and brain disorders
- Life Sciences › Neuroscience › Behavioral Neuroscience › Stress Responses and Cortisol
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Adipokines, Inflammation, and Metabolic Diseases
- Keywords
- C-reactive protein, depression, inflammation, replication, reproducibility, confounding adjustment, methodological quality, data cleaning, quality scores
- MeSH terms
- C-Reactive Protein, Depression, Depressive Disorder, Female, Humans, Inflammation, Male, Reproducibility of Results, Biomarkers, Comorbidity, Confounding Factors, Epidemiologic
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