Longitudinal population subgroups of CRP and risk of depression in the ALSPAC birth cohort
Jazyk angličtina Země Spojené státy americké Médium print-electronic
Typ dokumentu časopisecké články, Research Support, N.I.H., Extramural, práce podpořená grantem
Grantová podpora
R01 DK077659
NIDDK NIH HHS - United States
MC_PC_19009
Medical Research Council - United Kingdom
088869/Z/09/Z
Wellcome Trust - United Kingdom
MR/L010305/1
Medical Research Council - United Kingdom
G0801456
Medical Research Council - United Kingdom
08426812/Z/07/Z
Wellcome Trust - United Kingdom
102215/2/13/2
Wellcome Trust - United Kingdom
201486/Z/16/Z
Wellcome Trust - United Kingdom
G9815508
Medical Research Council - United Kingdom
Wellcome Trust - United Kingdom
095844/Z/11/Z
Wellcome Trust - United Kingdom
MC_PC_17213
Medical Research Council - United Kingdom
PubMed
31707310
PubMed Central
PMC6945112
DOI
10.1016/j.comppsych.2019.152143
PII: S0010-440X(19)30066-5
Knihovny.cz E-zdroje
- Klíčová slova
- ALSPAC, C-reactive protein, CRP, Depression, Immunopsychiatry, Inflammation,
- MeSH
- C-reaktivní protein metabolismus MeSH
- deprese krev epidemiologie MeSH
- depresivní poruchy krev epidemiologie MeSH
- dítě MeSH
- dospělí MeSH
- kohortové studie MeSH
- lidé MeSH
- longitudinální studie MeSH
- mladiství MeSH
- prospektivní studie MeSH
- riziko MeSH
- Check Tag
- dítě MeSH
- dospělí MeSH
- lidé MeSH
- mladiství MeSH
- mužské pohlaví MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- Research Support, N.I.H., Extramural MeSH
- Názvy látek
- C-reaktivní protein MeSH
BACKGROUND: Meta-analyses confirm increased circulating C-reactive protein (CRP) levels in depression. Longitudinal studies have linked one-off measurements of CRP at baseline with increased risk of developing depressive symptoms subsequently at follow-up, but studies with repeat CRP measures from the same individuals are scarce. METHODS: We have examined whether longitudinal patterns of inflammation, based on three CRP measurements from childhood to early-adulthood, are associated with the risk of depression in early-adulthood in the Avon Longitudinal Study of Parents and Children, a prospective birth cohort. RESULTS: Using Gaussian mixture modelling of available CRP data from age 9, 15 and 18 years, we identified four population clusters/sub-groups reflecting different longitudinal patterns of CRP: persistently low (N=463, 29.5%); persistently high (N=371, 24%); decreasing (N=360, 23%); increasing (N=367, 23.5%). The increasing group showed a steep increase in CRP levels between adolescence and early-adulthood. Participants in this group had a higher risk of moderate/severe depression at age 18 years, compared with those with persistently low CRP; adjusted odds ratio (OR)=3.78 (95% Confidence Interval (CI), 1.46-9.81; p=0.006). The odds of moderate/severe depression were also increased for the persistently high CRP group, but this was not statistically significant; OR=2.54 (95% CI, 0.90-7.16). LIMITATIONS: Repeat CRP measures were available for a subset, who may not be representative of all cohort participants. CONCLUSIONS: The results suggest that an increasing pattern of inflammation from adolescence to early-adulthood is associated with risk of depression in early-adulthood.
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Waraich P., Goldner E.M., Somers J.M., Hsu L. Prevalence and incidence studies of mood disorders: a systematic review of the literature. Can J Psychiatry. 2004;49:124–138. PubMed
Kessler R.C., Berglund P., Demler O., Jin R., Koretz D., Merikangas K.R., Rush A.J., Walters E.E., Wang P.S. The epidemiology of major depressive disorder: results from the National Comorbidity Survey Replication (NCS-R) JAMA. 2003;289:3095–3105. PubMed
Kessler R.C., Berglund P., Demler O., Jin R., Merikangas K.R., Walters E.E. Lifetime prevalence and age-of-onset distributions of DSM-IV disorders in the National Comorbidity Survey Replication. Arch Gen Psychiatry. 2005;62:593–602. PubMed
Ruhé H.G., Mason N.S., Schene A.H. Mood is indirectly related to serotonin, norepinephrine and dopamine levels in humans: a meta-analysis of monoamine depletion studies. Mol Psychiatry. 2007;12:331. PubMed
Barnes J., Mondelli V., Pariante C.M. Genetic contributions of inflammation to depression. Neuropsychopharmacology. 2017;42:81. PubMed PMC
Dantzer R., O’Connor J.C., Freund G.G., Johnson R.W., Kelley K.W. From inflammation to sickness and depression: when the immune system subjugates the brain. Nat Rev Neurosci. 2008;9:46. PubMed PMC
Goldsmith D., Rapaport M., Miller B. A meta-analysis of blood cytokine network alterations in psychiatric patients: comparisons between schizophrenia, bipolar disorder and depression. Mol Psychiatry. 2016;21:1696–1709. PubMed PMC
Harrison N.A., Brydon L., Walker C., Gray M.A., Steptoe A., Critchley H.D. Inflammation causes mood changes through alterations in subgenual cingulate activity and mesolimbic connectivity. Biol Psychiatry. 2009;66:407–414. PubMed PMC
Khandaker G.M., Dantzer R., Jones P.B. Immunopsychiatry: important facts. Psychol Med. 2017;47:2229–2237. PubMed PMC
Leonard B., Maes M. Mechanistic explanations how cell-mediated immune activation, inflammation and oxidative and nitrosative stress pathways and their sequels and concomitants play a role in the pathophysiology of unipolar depression. Neurosci Biobehav Rev. 2012;36:764–785. PubMed
Pasco J.A., Nicholson G.C., Williams L.J., Jacka F.N., Henry M.J., Kotowicz M.A., Schneider H.G., Leonard B.E., Berk M. Association of high-sensitivity C-reactive protein with de novo major depression. Br J Psychiatry. 2010;197:372–377. PubMed
Raison C.L., Capuron L., Miller A.H. Cytokines sing the blues: inflammation and the pathogenesis of depression. Trends Immunol. 2006;27:24–31. PubMed PMC
Fernandes B., Steiner J., Bernstein H., Dodd S., Pasco J., Dean O., Nardin P., Goncalves C., Berk M. C-reactive protein is increased in schizophrenia but is not altered by antipsychotics: meta-analysis and implications. Mol Psychiatry. 2016;21:554. PubMed
von Känel R., Hepp U., Kraemer B., Traber R., Keel M., Mica L., Schnyder U. Evidence for low-grade systemic proinflammatory activity in patients with posttraumatic stress disorder. J Psychiatr Res. 2007;41:744–752. PubMed
Danesh J., Whincup P., Walker M., Lennon L., Thomson A., Appleby P., Gallimore J.R., Pepys M.B. Low grade inflammation and coronary heart disease: prospective study and updated meta-analyses. Bmj. 2000;321:199–204. PubMed PMC
Visser M., Bouter L.M., McQuillan G.M., Wener M.H., Harris T.B. Elevated C-reactive protein levels in overweight and obese adults. Jama. 1999;282:2131–2135. PubMed
Dowlati Y., Herrmann N., Swardfager W., Liu H., Sham L., Reim E.K., Lanctôt K.L. A meta-analysis of cytokines in major depression. Biol Psychiatry. 2010;67:446–457. PubMed
Haapakoski R., Mathieu J., Ebmeier K.P., Alenius H., Kivimäki M. Cumulative meta-analysis of interleukins 6 and 1β, tumour necrosis factor α and C-reactive protein in patients with major depressive disorder. Brain Behav Immun. 2015;49:206–215. PubMed PMC
Howren M.B., Lamkin D.M., Suls J. Associations of depression with C-reactive protein, IL-1, and IL-6: a meta-analysis. Psychosom Med. 2009;71:171–186. PubMed
Gimeno D., Kivimäki M., Brunner E.J., Elovainio M., De Vogli R., Steptoe A., Kumari M., Lowe G.D., Rumley A., Marmot M.G. Associations of C-reactive protein and interleukin-6 with cognitive symptoms of depression: 12-year follow-up of the Whitehall II study. Psychol Med. 2009;39:413–423. PubMed PMC
Kappelmann N., Lewis G., Dantzer R., Jones P.B., Khandaker G.M. Antidepressant activity of anti-cytokine treatment: a systematic review and meta-analysis of clinical trials of chronic inflammatory conditions. Mol Psychiatry. 2018 PubMed PMC
Khandaker G.M., Pearson R.M., Zammit S., Lewis G., Jones P.B. Association of serum interleukin 6 and C-reactive protein in childhood with depression and psychosis in young adult life: a population-based longitudinal study. JAMA Psychiatry. 2014;71:1121–1128. PubMed PMC
Metcalf S.A., Jones P.B., Nordstrom T., Timonen M., Maki P., Miettunen J., Jaaskelainen E., Jarvelin M.R., Stochl J., Murray G.K., Veijola J., Khandaker G.M. Serum C-reactive protein in adolescence and risk of schizophrenia in adulthood: a prospective birth cohort study. Brain Behav Immun. 2017;59:253–259. PubMed PMC
Zalli A., Jovanova O., Hoogendijk W., Tiemeier H., Carvalho L. Low-grade inflammation predicts persistence of depressive symptoms. Psychopharmacology. 2016;233:1669–1678. PubMed PMC
Khandaker G.M., Stochl J., Zammit S., Goodyer I., Lewis G., Jones P.B. Childhood inflammatory markers and intelligence as predictors of subsequent persistent depressive symptoms: a longitudinal cohort study. Psychol Med. 2018;48:1514–1522. PubMed PMC
Valkanova V., Ebmeier K.P., Allan C.L. CRP, IL-6 and depression: a systematic review and meta-analysis of longitudinal studies. J Affect Disord. 2013;150:736–744. PubMed
Danesh J., Wheeler J.G., Hirschfield G.M., Eda S., Eiriksdottir G., Rumley A., Lowe G.D., Pepys M.B., Gudnason V. C-reactive protein and other circulating markers of inflammation in the prediction of coronary heart disease. N Engl J Med. 2004;350:1387–1397. PubMed
Knudsen L.S., Christensen I.J., Lottenburger T., Svendsen M.N., Nielsen H.J., Nielsen L., Hørslev-Petersen K., Jensen J.E., Kollerup G., Johansen J.S. Pre-analytical and biological variability in circulating interleukin 6 in healthy subjects and patients with rheumatoid arthritis. Biomarkers. 2008;13:59–78. PubMed
Kappelmann N., Khandaker G.M., Dal H., Stochl J., Kosidou K., Jones P.B., Dalman C., Karlsson H. Systemic inflammation and intelligence in early adulthood and subsequent risk of schizophrenia and other non-affective psychoses: a longitudinal cohort and co-relative study. Psychol Med. 2019;49:295–302. PubMed PMC
Copeland W.E., Shanahan L., Worthman C., Angold A., Costello E.J. Cumulative depression episodes predict later C-reactive protein levels: a prospective analysis. Biol Psychiatry. 2012;71:15–21. PubMed PMC
Boyd A., Golding J., Macleod J., Lawlor D.A., Fraser A., Henderson J., Molloy L., Ness A., Ring S., Davey Smith G. Cohort profile: the ‘children of the 90s’—the index offspring of the Avon Longitudinal Study of Parents and Children. Int J Epidemiol. 2013;42:111–127. PubMed PMC
Fraser A., Macdonald-Wallis C., Tilling K., Boyd A., Golding J., Davey Smith G., Henderson J., Macleod J., Molloy L., Ness A. Cohort profile: the avon longitudinal study of parents and children: ALSPAC mothers cohort. Int J Epidemiol. 2012;42:97–110. PubMed PMC
Lewis G., Pelosi A.J., Araya R., Dunn G. Measuring psychiatric disorder in the community: a standardized assessment for use by lay interviewers. Psychol Med. 1992;22:465–486. PubMed
Jenkins R., Lewis G., Bebbington P., Brugha T., Farrell M., Gill B., Meltzer H. The National Psychiatric Morbidity surveys of Great Britain–initial findings from the household survey. Psychol Med. 1997;27:775–789. PubMed
Spiers N., Bebbington P., McManus S., Brugha T.S., Jenkins R., Meltzer H. Age and birth cohort differences in the prevalence of common mental disorder in England: national Psychiatric Morbidity Surveys 1993–2007. Br J Psychiatry. 2011;198:479–484. PubMed
Lewis G. Assessing psychiatric disorder with a human interviewer or a computer. J Epidemiol Community Health. 1994;48:207–210. PubMed PMC
World Health Organization, W . World Health Organization; 1992. The ICD-10 classification of mental and behavioural disorders: clinical descriptions and diagnostic guidelines.
R Core Team . R Foundation for Statistical Computing; Vienna, Austria: 2017. R: a language and environment for statistical computing [Software]
Scrucca L., Fop M., Murphy T.B., Raftery A.E. Mclust 5: clustering, classification and density estimation using gaussian finite mixture models. R J. 2016;8:289. PubMed PMC
Haughton D., Legrand P., Woolford S. Review of three latent class cluster analysis packages: latent Gold, poLCA, and MCLUST. Am Stat. 2009;63:81–91.
Revelle W. Northwestern University; Evanston, Illinois, USA: 2017. Psych: procedures for personality and psychological research [Software]
Venables W.N., Ripley B.D. fourth ed. Springer; New York: 2002. Modern applied statistics with S.
Wickham H. Springer-Verlag; New York: 2009. ggplot2: elegant graphics for data analysis.
Urbanek S., Horner J. 2015. Cairo: r graphics device using cairo graphics library for creating high-quality bitmap (PNG, JPEG, TIFF), vector (PDF, SVG, PostScript) and display (X11 and Win32) output [Software]. CRAN. R-project.
Auguie B. 2017. gridExtra: miscellaneous functions for "grid" graphics. [software]. CRAN. R-project.
Wickham H., Francois R., Henry L., Müller K. 2017. Dplyr: a grammar of data manipulation [Software]
Wickham H. The split-apply-combine strategy for data analysis. J Stat Softw. 2011;40:1–29.
Khandaker G.M., Cousins L., Deakin J., Lennox B.R., Yolken R., Jones P.B. Inflammation and immunity in schizophrenia: implications for pathophysiology and treatment. Lancet Psychiatry. 2015;2:258–270. PubMed PMC
Raison C.L., Rutherford R.E., Woolwine B.J., Shuo C., Schettler P., Drake D.F., Haroon E., Miller A.H. A randomized controlled trial of the tumor necrosis factor antagonist infliximab for treatment-resistant depression: the role of baseline inflammatory biomarkers. JAMA Psychiatry. 2013;70:31–41. PubMed PMC
Wium-Andersen M.K., Ørsted D.D., Nielsen S.F., Nordestgaard B.G. Elevated C-reactive protein levels, psychological distress, and depression in 73 131 individuals. JAMA Psychiatry. 2013;70:176–184. PubMed
Khandaker G.M., Zammit S., Burgess S., Lewis G., Jones P.B. Association between a functional interleukin 6 receptor genetic variant and risk of depression and psychosis in a population-based birth cohort. Brain Behav Immun. 2018;69:264–272. PubMed PMC
Khandaker G.M., Zuber V., Rees J.M.B., Carvalho L., Mason A.M., Foley C.N., Gkatzionis A., Jones P.B., Burgess S. Shared mechanism between depression and coronary heart disease: findings from Mendelian randomization analysis of a large UK population-based cohort. Mol Psychiatry. 2019 PubMed PMC