The DOI matches its Crossref record; 51 of the 51 references it cites were found in a registry or an index.
Elevated C-Reactive Protein in Patients With Depression, Independent of Genetic, Health, and Psychosocial Factors: Results From the UK Biobank
Abstract
OBJECTIVE: The authors investigated the pathways (genetic, environmental, lifestyle, medical) leading to inflammation in major depressive disorder using C-reactive protein (CRP), genetic, and phenotypic data from the UK Biobank. METHODS: This was a case-control study of 26,894 participants with a lifetime diagnosis of major depressive disorder from the Composite International Diagnostic Interview and 59,001 control subjects who reported no mental disorder and had not reported taking any antidepressant medication. Linear regression models of log CRP level were fitted to regress out the effects of age, sex, body mass index (BMI), and smoking and to test whether the polygenic risk score (PRS) for major depression was associated with log CRP level and whether the association between log CRP level and major depression remained after adjusting for early-life trauma, socioeconomic status, and self-reported health status. RESULTS: CRP levels were significantly higher in patients with depression relative to control subjects (2.4 mg/L compared with 2.1 mg/L, respectively), and more case than control subjects had CRP levels >3 mg/L (21.2% compared with 16.8%, respectively), indicating low-grade inflammation. The PRS for depression was positively and significantly associated with log CRP levels, but this association was no longer significant after adjustment for BMI and smoking. The association between depression and increased log CRP level was substantially reduced, but still remained significant, after adjustment for the aforementioned clinical and sociodemographic factors. CONCLUSIONS: The data indicate that the "genetic" contribution to increased inflammation in depression is due to regulation of eating and smoking habits rather than an "autoimmune" genetic predisposition. Moreover, the association between depression and increased inflammation even after full adjustment indicates either the presence of yet unknown or unmeasured psychosocial and clinical confounding factors or that a core biological association between depression and increased inflammation exists independently from confounders.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Furthermore, MDD patients showed more frequently a low-grade inflammation state (i.e., CRP > 3 mg/L) than control subjects (21.1% compared with 16.8%, respectively) [83].”
From C-Reactive protein as a biomarker for major depressive disorder? (2022) · cites this paper as [83]
In the citing paper
“A study recruiting 26,894 participants with a lifetime diagnosis of MDD, evaluated using the Composite International Diagnostic Interview (CIDI), were compared with 59,000 healthy control subjects regarding CRP levels [83]. CRP levels were significantly higher in patients with depression than in the control group (2.4 mg/L compared with 2.1 mg/L, p < 0.001).”
From C-Reactive protein as a biomarker for major depressive disorder? (2022) · cites this paper as [83]
Citations
Cites
From inflammation to sickness and depression: when the immune system subjugates the brain
Dantzer, R., O'Connor, J. C., Freund, G. G., Johnson, R. W., & Kelley, K. W. (2008) · Nature Reviews Neuroscience · doi:10.1038/nrn2297 · Cited by 7,395
LD Score regression distinguishes confounding from polygenicity in genome-wide association studies
Schizophrenia Working Group of the Psychiatric Genomics Consortium, Bulik-Sullivan, B. K., Loh, P.-R., Finucane, H. K., Ripke, S., Yang, J., Patterson, N., Daly, M. J., Price, A. L., & Neale, B. M. (2015) · Nature Genetics · doi:10.1038/ng.3211 · Cited by 5,559
Genetic studies of body mass index yield new insights for obesity biology
Study, T. L. C., Locke, A. E., The ADIPOGen Consortium, The AGEN-BMI Working Group, The CARDIOGRAMplusC4D Consortium, The CKDGen Consortium, The, G. L. G. C., The, I. C. B. P., The MAGIC Investigators, The MuTHER Consortium, et al. (2015) · Nature · doi:10.1038/nature14177 · Cited by 4,534
An atlas of genetic correlations across human diseases and traits
ReproGen Consortium, Bulik-Sullivan, B., Psychiatric Genomics Consortium, Genetic Consortium for Anorexia Nervosa of the Wellcome Trust Case Control Consortium 3, Finucane, H. K., Anttila, V., Gusev, A., Day, F. R., Loh, P.-R., Duncan, L., et al. (2015) · Nature Genetics · doi:10.1038/ng.3406 · Cited by 4,255
The role of inflammation in depression: from evolutionary imperative to modern treatment target
Miller, A. H., & Raison, C. L. (2016) · Nature Reviews Immunology · doi:10.1038/nri.2015.5 · Cited by 3,942
eQTLGen, Wray, N. R., 23andMe, the Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Ripke, S., Mattheisen, M., Trzaskowski, M., Byrne, E. M., Abdellaoui, A., Adams, M. J., et al. (2018) · Nature Genetics · doi:10.1038/s41588-018-0090-3 · Cited by 3,005
The global prevalence of common mental disorders: a systematic review and meta-analysis 1980–2013
Steel, Z., Marnane, C., Iranpour, C., Chey, T., Jackson, J. W., Patel, V., & Silove, D. (2014) · International Journal of Epidemiology · doi:10.1093/ije/dyu038 · Cited by 2,846
Genetic risk and a primary role for cell-mediated immune mechanisms in multiple sclerosis
The International Multiple Sclerosis Genetics Consortium & The Wellcome Trust Case Control Consortium 2 (2011) · Nature · doi:10.1038/nature10251 · Cited by 2,697
Liu, J. Z., van Sommeren, S., Huang, H., Ng, S. C., Alberts, R., Takahashi, A., Ripke, S., Lee, J. C., Jostins, L., Shah, T., et al. (2015) · Nature Genetics · doi:10.1038/ng.3359 · Cited by 2,603
Howard, D. M., Adams, M. J., Clarke, T.-K., Hafferty, J. D., Gibson, J., Shirali, M., Coleman, J. R. I., Hagenaars, S. P., Ward, J., Wigmore, E. M., et al. (2019) · Nature Neuroscience · doi:10.1038/s41593-018-0326-7 · Cited by 2,565
Self-citation
Cited by
Sorted by citations
Items 201–218 of 218
Wan, C., Yang, X., Yang, H. T., & Mei (Guangzhou University) Yang (2026) · European journal of medical research · doi:10.1186/s40001-026-04184-4
Etzel, M. S., Rosenblum, Y., Dresler, M., Steiger, A., Mikoteit, T., & Zeising, M. (2026) · Neuropsychobiology · doi:10.1159/000551623 · Cited by 1
Shepherd, F. R., Slaney, C., Jones, H. J., Dardani, C., Stergiakouli, E., Sanderson, E. C. M., Hamilton, F., Rosoff, D. B., Rek, N., Gaunt, T. R., et al. (2026) · medRxiv · doi:10.64898/2026.04.10.26350510
Tang, Y., Zhao, S., Huang, Q., Chen, X., Lin, S., Li, Y., Hao, J., Liao, Z., & Shen, H. (2026) · Brain and Behavior · doi:10.1002/brb3.71437
Rahimian, R., Hagenberg, J., Belliveau, C., Chen, R., Théberge, S., Fakhfouri, G., Wakid, M., Binder, E. B., Turecki, G., Arloth, J., et al. (2026) · Brain Behavior & Immunity - Health · doi:10.1016/j.bbih.2026.101245
Wang, H., Yang, S., Dai, J., Zheng, F., Luo, Y., Zhao, J., Du, E., Lei, K., Lei, J., Liu, J. H., et al. (2026) · Neurochemistry International · doi:10.1016/j.neuint.2026.106165
Neurobiological foundations of psychosomatic disorders
Klyushnik, T., Omel'chenko, M., & Samushiya, M. A. (2026) · Современная терапия в психиатрии и неврологии · doi:10.32416/2304-9707-2026-2-22-27
Jóźwiak-Bębenista, M., Stasiak, A., Sienkiewicz, M., Kwiatkowski, P. A., & Kowalczyk, E. (2026) · International Journal of Molecular Sciences · doi:10.3390/ijms27104229 · Cited by 1
Portal, P. H. G., Peixoto, G. N., de Matos, M. R., Silva, L. C. S., Alexandrino, G. B., Dutra, P. H., Carniel, B. P., & da Rocha, N. S. (2026) · BMJ Open · doi:10.1136/bmjopen-2025-111421
Kynurenic Acid Offers Added Value in Predicting ECT Outcomes in Depression
Dellink, A., Belge, J.-B., Sienaert, P. A., Lambrichts, S., Schrijvers, D. L., van Diermen, L., Morrens, M., & Coppens, V. (2026) · Neuropsychobiology · doi:10.1159/000552240
Dabboussi, N., Debs, E., Bouji, M., Kassab, R., Khalil, R. B., Farès, N., & Rafei, R. (2026) · Brain Sciences · doi:10.3390/brainsci16070681
Kim, L. Y., Renna, M. E., Shrout, M. R., Sheridan, J. F., Wesolowski, R., Noonan, A. M., Reinbolt, R. E., Malarkey, W. B., Kiecolt‐Glaser, J. K., & Madison, A. A. (2026) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2026.106925
Daray, F. M., Grendas, L. N., Chiapella, L. C., Tifner, V., López-Carvajal, J. E., Arena, Á. R., Olaviaga, A., Prokopez, C. R., Robetto, J., Silva, E. A. C., et al. (2026) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2026.111874
Fan, B., Liang, X., Qin, Y., Yu, T., Wang, J., An, T., & Wang, G. (2026) · Journal of Ginseng Research · doi:10.1016/j.jgr.2026.101120
Gawron, I. M., Brodowicz, J., Baran, R., Bromboszcz, A., Wielgus, M., & Jach, R. (2026) · Frontiers in Global Women s Health · doi:10.3389/fgwh.2026.1806970
Fast and slow gene expression changes in blood following acute social stress
Grönvall, H., Edwards, S., Tabrizi, F. F., Ezer, S., Gamze, Y., Arner, E., Rosén, J., Katayama, S., Kere, J., Åhs, F., et al. (2026) · Brain Behavior & Immunity - Health · doi:10.1016/j.bbih.2026.101365
Liao, X., Yang, H., Lin, P., & Chen, S. (2026) · Materials Today Physics · doi:10.1016/j.mtphys.2026.102275
Li, L., Adler, N., Abbatangelo, C. L., Wade, M., & Parra, E. J. (2026) · American Journal of Medical Genetics Part B Neuropsychiatric Genetics · doi:10.1002/ajmg.b.70038
Metadata
- Authors
- Pitharouli, M. C., Hagenaars, S. P., Glanville, K. P., Coleman, J. R. I., Hotopf, M., Lewis, C. M., & Pariante, C. M.
- Affiliations
- National Health Service (GB)
- ORCID
- Venue
- American Journal of Psychiatry
- Published
- 2021-06
- Volume
- 178
- Issue
- 6
- Pages
- 522-529
- ISSN
- 0002-953X (ISSN-L)
- 1535-7228
- OpenAlex
- W3161566379
- Cited by
- 218
- References
- 51
- Citations by year
- 2026: 42 · 2025: 34 · 2024: 41 · 2023: 41 · 2022: 36 · 2021: 24
- FWCI
- 11.81
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- American Journal of Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- Research Portal (King's College London) (submittedVersion)
- Funders
- Medical Research Council (MR/S015132/1, MR/N015746/1, MC_PC_17228)
- Topics
- Life Sciences › Neuroscience › Biological Psychiatry › Tryptophan and brain disorders
- Health Sciences › Medicine › Pharmacology (medical) › Treatment of Major Depression
- Life Sciences › Neuroscience › Behavioral Neuroscience › Stress Responses and Cortisol
- Keywords
- major depressive disorder, C-reactive protein, low-grade inflammation, polygenic risk score, genetic predisposition to depression, smoking, body mass index, early trauma, socioeconomic status
- MeSH terms
- Adverse Childhood Experiences, C-Reactive Protein, Depressive Disorder, Major, Major Depressive Disorder, Female, United Kingdom, Health Status, Humans, Inflammation, Male, Middle Aged, Psychology, Smoking, Social Class, Linear Models, Case-Control Studies, Biological Specimen Banks, Genetic Predisposition to Disease
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review