Next Article in Journal
Somatic Cell Nuclear Transfer Followed by CRIPSR/Cas9 Microinjection Results in Highly Efficient Genome Editing in Cloned Pigs
Next Article in Special Issue
Nutraceutical Supplements in the Management and Prevention of Osteoarthritis
Previous Article in Journal
Checkpoints to the Brain: Directing Myeloid Cell Migration to the Central Nervous System
Previous Article in Special Issue
A Comparative Analysis of Genetic and Epigenetic Events of Breast and Ovarian Cancer Related to Tumorigenesis
Article Menu
Issue 12 (December) cover image

Export Article

Int. J. Mol. Sci. 2016, 17(12), 2022; doi:10.3390/ijms17122022

Peripheral Inflammatory Parameters in Late-Life Depression: A Systematic Review
Biomedical Research Centre in Mental Health Network (CIBERSAM), BioAraba, Health Research Institute, Araba University Hospital, 01004 Vitoria, Spain
Psychobiology Department, National Distance Education University (UNED), 01008 Vitoria, Spain
Gregorio Marañón University General Hospital, 28007 Madrid, Spain
Department of Psychiatry, University of Cambridge, Cambridge CB2 0SZ, UK
Community Pharmacist, Getxo, 48992 Vizcaya, Spain
Department of Psychiatry, Showa University School of Medicine, Tokyo 157-8577, Japan
RSMB-CSM Uribe, 48990 Algorta-Getxo, Spain
Neurosciences Department, University of the Basque Country, 48940 Vizcaya, Spain
Author to whom correspondence should be addressed.
Academic Editor: William Chi-shing Cho
Received: 1 September 2016 / Accepted: 16 November 2016 / Published: 2 December 2016


Depressive disorders appear relatively frequently in older patients, and therefore represent an important disease burden worldwide. Given the high levels of inflammatory parameters found in depressed elderly patients, the “inflammaging” hypothesis is gaining strength. In this systematic review, we summarize current evidence regarding the relationship between inflammatory parameters and late-life depression, with a unique focus on longitudinal studies to guarantee temporality. According to the data summarized in this review, the levels of some proinflammatory parameters—especially interleukin (IL)-8, IL-6, and tumor necrosis factor (TNF)-α—could serve as biomarkers for the future development of depressive symptoms in elderly patients. Proinflammatory cytokines seem to be associated with the future development of clinically significant depression, irrespective of baseline scores, thus indicating that inflammation temporally precedes and increases depression risk. As insufficient research has been conducted in this field, further prospective studies are clearly warranted.
inflammation; aging; depression; late-life

1. Introduction

Life expectancy has continued to increase worldwide for several decades, especially in developed countries, thus a proportional increase in diseases typically affecting older people is expected to be observed in the coming years [1]. Depressive disorders—both major depressive disorder and, very often, subthreshold depressive symptoms, either alone or in combination with other conditions—are among the most common psychiatric disorders in the elderly, and they often do not respond as well to treatment than those of younger ages. Despite extensive research aimed at improving our understanding of the pathophysiology of these diseases, they still represent a significant cause of disease burden worldwide. As such, more research is required, especially to elucidate the mechanisms triggering the disease, in order to develop new preventive and treatment approaches.
Three etiological hypotheses have been proposed for depressive disorders in the elderly [2]: the “degenerative” hypothesis, according to which depression probably precedes the onset of cognitive impairment and dementia [3]; the “vascular” hypothesis, due to the findings of white matter lesions with neuroimaging studies in patients with late-life depression [4,5]; and the “inflammatory” hypothesis, based on the high levels of inflammatory parameters found in depressed elderly patients [6], which has led to the term “inflammaging” [7]. According to this latter hypothesis, aging shifts the body into a proinflammatory state mediated by an increased immune response at the peripheral level, impaired immune communication between the central nervous system and periphery, and an increased and discordant central nervous system response [6]. All these changes lead to a chronic state of neuroinflammation characterized by the continuous production of proinflammatory cytokines [8]. Indeed, the administration of cytokines has been shown to lead to depressive-like symptomatology [9,10] that can be lessened by antidepressants [11], and antidepressant treatment decreases the stimulated production of proinflammatory cytokines in depressed patients [12]. Moreover, as the degenerative, vascular, and inflammatory hypotheses are not mutually exclusive [13], this overlap of models suggests that inflammation can have a functional impact on brain structure [14].
Findings concerning inflammatory parameters and clinical correlates of depression have been contradictory, this being attributed to differences in study designs, the inherent variability in measurements of biological systems, and the different confounding factors considered in the statistical analyses. While multiple studies have reported positive associations between inflammatory mediators and late-life depression, some have not [15]. Most studies assessing the relationship between inflammation and late-life depression are cross-sectional [16,17,18,19,20,21] or case-control studies [22,23], hence it is unclear whether inflammatory conditions precede or follow the onset of symptoms.
The aim of the present review is to summarize the current evidence concerning the relationship between inflammatory parameters and late-life depression by reviewing longitudinal studies of “good methodological quality”; in other words, those articles that met minimum criteria of internal and external validity, provided a good description of their objectives, had a design in accordance with these objectives, a sufficiently large sample size, and presented their results clearly.

2. Literature Search

Publications were identified by way of a systematic literature search conducted initially in September 2014, which was repeated in May 2015; the review is reported in accordance with the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) statement [24]. The search was conducted for papers published between January 2000 and May 2015 using the PubMed, Embase, PsychINFO, Trip, and Web of Science databases, and the electronic database searches were supplemented by cross-referencing of selected articles and a manual search.
The search terms “inflammation”, “depression”, “aged”, “aging”, and “elderly” were used to search for publications reporting prospective studies assessing inflammatory parameters in cohorts of elderly subjects (≥60 years old), exploring their relationship with major depressive disorder and not with other conditions. Publications in English, French, or Spanish were included. Studies reporting only cross-sectional data and genetic studies were excluded. The purpose of including only longitudinal studies was to explore temporality, which provides greater consistency to a causal model.
Selected publications were assessed by two independent raters using a critical appraisal tool platform [25]. This tool allows an in-depth analysis of all the key points that determine a study’s methodological quality by evaluating different aspects of the quality of the article (internal and external validity, clear objectives, sample size, presentation of results, etc.), and thereby classifies studies as having high, medium, or low methodological quality. Only papers classified as being of high or medium quality were included in this review. The tool also helps the reader to summarize the main characteristics of a paper.

3. Results

The initial literature search identified 217 publications potentially eligible for inclusion, of which 23 were selected after analyzing each of the abstracts. After excluding 8 of these for being duplicates, and including a further 3 from the manual search, we obtained a sample of 18 papers for which we proceeded to carefully read the full text. Eleven of these papers were excluded because they had a cross-sectional or case-control design, and 1 was excluded due to its low methodological quality. Finally, we selected 6 manuscripts, which were examined in depth, for inclusion in our systematic review (Figure 1).
Only six studies met the selection criteria and had prospectively evaluated the relationship between peripheral inflammatory biomarkers and depression in older people. Samples varied in size from 263 to 1037 participants and the mean age range varied from 61 to 85 years. All but one of the studies evaluated the influence of biological measures on depressive symptoms [26,27,28,29,30], while the other study evaluated the relation between these variables in both directions [31]. Five of the studies were conducted in Europe, one in Australia, and one in the USA. The main characteristics of these studies are listed in Table 1.
The immunological markers examined in the articles reviewed are listed in Table 2.
Baune et al. [26] followed up on a cohort of 1037 Australian non-demented elderly patients for two years. Of these, 71 patients already had mild to moderate depressive symptoms at the baseline assessment, and 42 developed such symptoms during follow-up. The peripheral parameters assessed were levels of interleukin 1β (IL-1β), IL-6, IL-8, IL-10, IL-12p70, C-reactive protein (CRP), plasminogen activator inhibitor-1 (PAI-1), vascular adhesion molecule-1 (sVCAM-1), serum amyloid-A (SAA), and tumor necrosis factor-α (TNF-α). At baseline, elevated levels of IL-8 and IL-6 were related to higher levels of depressive symptoms, as assessed using the Geriatric Depression Scale (GDS) (odds ratio (OR) = 1.042; p = 0.025 and OR = 1.041; p = 0.035, respectively). Interestingly, elevated levels of IL-8 at baseline predicted significantly higher GDS scores at follow-up (OR = 1.043; p = 0.038) and were also associated with the first onset of mild to moderate depressive symptoms over two years (OR = 1.052; p = 0.038). Moreover, IL-12p70 showed a significant inverse relationship with GDS scores (OR = 0.992; p = 0.010).
In their population-based study, Bremmer et al. [27] included 1285 participants aged 65 and over living in the Netherlands and followed them up for one year. The authors assessed IL-6 and CRP at baseline and depressive symptoms using the Center for Epidemiological Studies—Depression (CES-D) scale. Patients with depression scores ≥ 16 were thoroughly assessed according to Diagnostic and Statistical Manual of Mental Disorders (DSM)-III criteria [35] for a diagnosis of major depressive disorder. Although no significant associations were found with CRP levels, high levels of IL-6 (above 5 pg/mL) were associated with major depression during the follow-up (OR = 2.49 (1.07–5.80)) both in first and recurrent episodes (OR = 2.87 (0.75–10.9) and OR = 2.17 (0.86–5.49), respectively). Furthermore, the authors found an OR of 3.18 for depression in patients with high IL-6 levels. With regard to symptom profile, they found no association with inflammatory parameters.
Forti et al. conducted an interesting study in Italy following up a sample of 704 elderly individuals for four years and assessed the incidence of depressive symptoms using the GDS [28]. Only TNF-α levels showed an association with incident depression, with this association having a U-shaped form. Subjects with detectable TNF levels of up to 10 pg/mL were at a lower risk of developing depressive symptoms than subjects with undetectable TNF levels (p = 0.015). No association was found for TNF values higher than 10 pg/mL (p > 0.05).
Similarly, Milaneschi et al. conducted a follow-up study of a sample of 778 elderly patients, with two follow-up assessments (three and six years after evaluating their baseline levels) of several inflammatory parameters [29]. These authors investigated the presence of depressive symptomatology using the Center for Epidemiological Studies—Depression scale at both follow-up assessments, and concluded that the IL-1 receptor antagonist (IL-1ra) predicted the development of depressed mood in the long term, this association being detectable at six years but not earlier (i.e., three-year assessment).
In contrast, and with regard to IL-1ra, van den Biggelaar et al. found that higher baseline levels of this soluble receptor were related to a lower risk of developing depression, as evaluated in a five-year follow-up assessment [30]. These authors also reported a significant relationship between IL-1β and CRP levels at baseline and increases in depressive mood, as measured using the GDS scale.
The aim of all the studies discussed thus far was to evaluate the influence of various inflammatory variables on the development of depressed mood over a given follow-up period. In contrast, the study published by Stewart et al. in 2009 followed a bidirectional approach; in other words, these authors also explored the association of baseline depressive symptoms with IL-6 and CRP levels over a six-year period [31]. They found that neither baseline IL-6 nor CRP levels behaved as predictors of the change in Beck Depression Inventory-II (BDI-II) scores during follow-up. Interestingly, the baseline Beck Depression Inventory-II scores correlated positively with changes in IL-6 levels over the follow-up period, but not with changes in CRP levels.

4. Discussion

According to the data summarized in this review, the levels of some proinflammatory parameters—namely IL-8, IL-6, and TNF-α—could serve as biomarkers for the future onset of depressive symptoms in elderly patients. Having said that, their prognostic value should be explored further given that, for example, Stewart et al. [31] did not replicate the previous findings of Bremmer [27] concerning IL-6. Such inconsistencies could be due to age differences between samples (61 vs. 75.4 years) and to the different tools used to assess depressive symptomatology (BDI-II vs. CES-D). The discrepancies found support the need for further studies using similar samples and designs that replicate and confirm the results of previous studies. The relevance of TNF-α is supported by the recent review of Bortolato et al., who indicate that TNF-α antagonists play an important role in mitigating depressive symptoms and improving cognitive deficits in elderly patients [36]. There is also evidence that IL-6 and TNF-α could act as mediators in the incidence of depressive symptoms in patients with some other diseases, such as coronary artery disease [37] or multiple sclerosis [38]. TNF-α may contribute to the pathophysiology of depression by activating the hypothalamic–pituitary–adrenal (HPA) axis and neuronal serotonin transporters and by stimulating the enzyme indoleamine-2,3-dioxygenase (IDO), which causes tryptophan depletion [39].
With respect to IL-8, there is some evidence that this interleukin is related to depressive symptoms both at baseline and two years later, although, to the best of our knowledge, only one trial [26] has assessed it and the ORs reported were not very conclusive (OR = 1.36 (95% CI = 1.021–1.802, p = 0.035) and 0.94 (95% CI = 0.67–1.32, p = 0.719), respectively). In line with this, a prospective study reported that the associations between the onset of depression and physical comorbidities in elderly subjects were significant in the presence of higher IL-8 production [40]. In addition, one postmortem study found that IL-8 expression was upregulated in Brodmann area 10 (prefrontal cortex) of brains from psychotropic drug-free individuals with a history of major depressive disorder compared to its expression in matched controls [41]. On the other hand, a recent systematic review concluded that the findings from cross-sectional studies regarding the relationship between depression and serum IL-8 levels in nongeriatric populations remained unclear [42], although a study conducted in 2003 found that IL-8 levels significantly and positively correlated with current depressive symptoms in a sample of 53 young men [43]. Considering these previous studies together, we conclude that further research is needed to elucidate the relationship between IL-8 and the development of depressive symptoms in elderly subjects.
With regard to IL-6, this interleukin showed a stronger association with the development of depressive symptomatology after one year (OR = 3.18), although no distinction was made between the different endophenotypes of the disease [27]. Similarly, a prospective population-based study found higher IL-6 and IL-8 levels in the cerebrospinal fluid (CSF) of elderly depressed women, this fluid being a better tissue for representing the central nervous system than peripheral blood due to its proximity to said system [44]. These results may be supported by previous meta-analyses [42,43,44].
Dowlati et al. observed significantly higher concentrations of IL-6 in depressed individuals than in healthy controls. In addition, Endrighi et al. showed an association between negative mood and stress-induced IL-6 responses in healthy young individuals [45]. IL-6 strongly activates the HPA axis and, therefore, may also contribute to the hypercortisolism observed in depression [46]. In regard to the type of depressive symptoms, Capuron et al. only observed that IL-6 appeared to be related to the “reduced appetite” score of the Montgomery–Asberg Depression Rating Scale in elderly subjects [47]. Moreover, a recently published review concluded that IL-6 is the cytokine most robustly associated with suicidal ideation, suicides, and nonfatal suicide attempts [48], thereby suggesting an important role of this interleukin in this aspect of depression. The authors found that the results for other inflammatory parameters were inconclusive.
With regard to TNF-α, the level of this protein appeared to have a U-shaped association with risk of incident depressive symptoms in elderly individuals [28]. In line with this, a prospective study found that the relationships between the onset of depression and physical disorders in elderly people were significant in the presence of higher TNF-α production, similar to production of IL-8, as cited previously [40]. Additionally, the findings from previous meta-analyses indicate that depressed individuals have significantly higher TNF-α and IL-6 concentrations than controls [49,50].
IL-1ra should be investigated more exhaustively, given the inconsistent results found in our systematic review. Thus, Milaneschi et al. [29] reported that IL-1ra predicted the development of depressed mood over a six-year follow-up period, whereas van den Biggelaar et al. [30] found that increased IL-1ra levels were related to a lower risk of developing depression. These divergent findings may be due to differences in the methodology and study samples; in particular, the disparity between direct in vivo serum measurements [29] and ex vivo whole sample blood lipopolysaccharide stimulation [30], and the gap in mean ages between the trials [51]. A systematic review concluded that IL-1ra concentrations were frequently upregulated in depressed patients [52]. In line with this review, previous studies have found higher levels of serum IL-1ra in depressed patients than in healthy populations [44,49,50,53].
Additionally, in population-based research in middle-aged individuals, higher IL-1ra levels have been associated with elevated depressive symptoms [51,54]. Similarly, a cohort study of healthy middle-aged men found evidence that higher IL-1ra levels may be associated with depression and increased mortality [55]. Furthermore, at the preclinical level, research conducted in IL-1ra knockout mice, which display an aging-induced anxiety-like phenotype, suggests an interaction between this receptor and aging in the development of depressive symptoms [56]. Taking these findings as a whole, we conclude that further research is also required to explore the association between IL-1ra and the development of depressive symptomatology in elderly people.
As mentioned above, one plausible explanation for why all these inflammatory variables influence the development of depressive symptoms is that the enzyme indoleamine-2,3-dioxygenase (IDO) is induced upon immune activation. When induced, this enzyme catalyzes the conversion of tryptophan into kynurenine, thus causing depletion of the tryptophan available to synthesize serotonin [39,57]. Furthermore, alterations in serotonergic, noradrenergic, and glutamatergic neurotransmission have also been related to low-level neuroinflammation and may be involved in the development of depressive symptoms [58].
It should be noted here that most of the articles reviewed were able to show that proinflammatory cytokines are associated with the future development of clinically significant depression, independent of baseline scores, thus indicating that inflammation temporally precedes and increases depression risk, although very few studies have addressed this subject to date.
The methodology, follow-up period, set of pro-/anti-inflammatory parameters evaluated, and tool used to assess depressive symptoms vary considerably between the studies included in this systematic review. As such, there is a clear need to conduct further research into this issue with uniform criteria across studies, including the inflammatory parameters highlighted in this review and a common clinical scale to measure depressive symptoms. There is also a need to study inflammatory markers in CSF and—as central inflammation can be assessed using positron emission tomography (PET) ligands specific for the translocator protein (TPSO)—to undertake in vivo PET studies both during depression and after recovery.


This study was funded by grants from Research Network Center of Mental Health-CIBERSAM (2010-P-02); the Government of Spain “Health Research Fund” FEDER (PI08-1213, PI11-01977, PI14-01900, PI08-0873; PI10-01746; PS09/02002; PI12/02077; PI15-00789; PI13/00451); Ministry of Health and Social Equality (20111064) Policy; Local funding from the Department of Education, Language Policy and Culture of the Basque Government (200911147, 2013111162, 2010111170, SAIO10-PC10BF01); European Comission funds (UE/2012/FI-STAR). We appreciate the support of the University of the Basque Country (GIC10/80, GIC12/84) and the Basque Foundation for Health Innovation and Research-BIOEF. The Psychiatry Research Unit of the University Hospital of Álava-Santiago is supported by the “Stanley Research Foundation” (03-RC-003). John O’Brien is supported by the NIHR Cambridge Biomedical Research Centre awarded to the University of Cambridge, Cambridge University Hospitals NHS Trust and Cambridgeshire and Peterborough NHS Trust.

Author Contributions

Mónica Martínez-Cengotitabengoa, John T. O’Brien, Marta Arrasate and Ana González-Pinto conceived and designed the study. Mónica Martínez-Cengotitabengoa, Lucía Carrascón, María-José Díaz-Gutiérrez and Cristina Bermúdez-Ampudia collected and analyzed the articles reviewed. Mónica Martínez-Cengotitabengoa and Kenji Sanada wrote the manuscript and all the authors revised the final version of the manuscript.

Conflicts of Interest

The authors declare no conflict of interest.


  1. Laks, J.; Engelhardt, E. Peculiarities of geriatric psychiatry: A focus on aging and depression. CNS Neurosci. Ther. 2010, 16, 374–379. [Google Scholar] [CrossRef] [PubMed]
  2. Naarding, P.; Schoevers, R.A.; Janzing, J.G.E.; Jonker, C.; Koudstaal, P.J.; Beekman, A.T.F. A study on symptom profiles of late-life depression: The influence of vascular, degenerative and inflammatory risk-indicators. J. Affect. Disord. 2005, 88, 155–162. [Google Scholar] [CrossRef] [PubMed]
  3. Emery, V.O.; Oxman, T.E. Update on the dementia spectrum of depression. Am. J. Psychiatry 1992, 149, 305–317. [Google Scholar] [PubMed]
  4. Taylor, W.D.; Zhao, Z.; Ashley-Koch, A.; Payne, M.E.; Steffens, D.C.; Krishnan, R.R.; Hauser, E.; MacFall, J.R. Fiber tract-specific white matter lesion severity Findings in late-life depression and by AGTR1 A1166C genotype. Hum. Brain Mapp. 2013, 34, 295–303. [Google Scholar] [CrossRef] [PubMed]
  5. Fujikawa, T.; Yamawaki, S.; Touhouda, Y. Incidence of silent cerebral infarction in patients with major depression. Stroke J. Cereb. Circ. 1993, 24, 1631–1634. [Google Scholar] [CrossRef]
  6. Alexopoulos, G.S.; Morimoto, S.S. The inflammation hypothesis in geriatric depression. Int. J. Geriatr. Psychiatry 2011, 26, 1109–1118. [Google Scholar] [CrossRef] [PubMed]
  7. Franceschi, C.; Campisi, J. Chronic inflammation (inflammaging) and its potential contribution to age-associated diseases. J. Gerontol. A Biol. Sci. Med. Sci. 2014, 69, S4–S9. [Google Scholar] [CrossRef] [PubMed]
  8. Dilger, R.N.; Johnson, R.W. Aging, microglial cell priming, and the discordant central inflammatory response to signals from the peripheral immune system. J. Leukoc. Biol. 2008, 84, 932–939. [Google Scholar] [CrossRef] [PubMed]
  9. Bonaccorso, S.; Marino, V.; Biondi, M.; Grimaldi, F.; Ippoliti, F.; Maes, M. Depression induced by treatment with interferon-alpha in patients affected by hepatitis C virus. J. Affect. Disord. 2002, 72, 237–241. [Google Scholar] [CrossRef]
  10. Wichers, M.; Maes, M. The psychoneuroimmuno-pathophysiology of cytokine-induced depression in humans. Int. J. Neuropsychopharmacol. 2002, 5, 375–388. [Google Scholar] [CrossRef] [PubMed]
  11. Capuron, L.; Gumnick, J.F.; Musselman, D.L.; Lawson, D.H.; Reemsnyder, A.; Nemeroff, C.B.; Miller, A.H. Neurobehavioral effects of interferon-α in cancer patients: Phenomenology and paroxetine responsiveness of symptom dimensions. Neuropsychopharmacology 2002, 26, 643–652. [Google Scholar] [CrossRef]
  12. Kenis, G.; Maes, M. Effects of antidepressants on the production of cytokines. Int. J. Neuropsychopharmacol. 2002, 5, 401–412. [Google Scholar] [CrossRef] [PubMed]
  13. Taylor, W.D.; Aizenstein, H.J.; Alexopoulos, G.S. The vascular depression hypothesis: Mechanisms linking vascular disease with depression. Mol. Psychiatry 2013, 18, 963–974. [Google Scholar] [CrossRef] [PubMed]
  14. Smagula, S.F.; Lotrich, F.E.; Aizenstein, H.J.; Diniz, B.S.; Krystek, J.; Wu, G.F.; Mulsant, B.H.; Butters, M.A.; Reynolds, C.F.; Lenze, E.J. Immunological biomarkers associated with brain structure and executive function in late-life depression: Exploratory pilot study. Int. J. Geriatr. Psychiatry 2016. [Google Scholar] [CrossRef] [PubMed]
  15. Disabato, B.M.; Sheline, Y.I. Biological basis of late life depression. Curr. Psychiatry Rep. 2012, 14, 273–279. [Google Scholar] [CrossRef] [PubMed]
  16. Hamer, M.; Chida, Y. Associations of very high C-reactive protein concentration with psychosocial and cardiovascular risk factors in an ageing population. Atherosclerosis 2009, 206, 599–603. [Google Scholar] [CrossRef] [PubMed]
  17. Diniz, B.S.; Teixeira, A.L.; Talib, L.L.; Mendonça, V.A.; Gattaz, W.F.; Forlenza, O.V. Increased soluble TNF receptor 2 in antidepressant-free patients with late-life depression. J. Psychiatr. Res. 2010, 44, 917–920. [Google Scholar] [CrossRef] [PubMed]
  18. Tiemeier, H.; Hofman, A.; van Tuijl, H.R.; Kiliaan, A.J.; Meijer, J.; Breteler, M.M.B. Inflammatory proteins and depression in the elderly. Epidemiology 2003, 14, 103–107. [Google Scholar] [CrossRef] [PubMed]
  19. Thomas, A.J.; Davis, S.; Morris, C.; Jackson, E.; Harrison, R.; O’Brien, J.T. Increase in interleukin-1β in late-life depression. Am. J. Psychiatry 2005, 162, 175–177. [Google Scholar] [CrossRef] [PubMed]
  20. Smagula, S.F.; Ancoli-Israel, S.; Barrett-Connor, E.; Lane, N.E.; Redline, S.; Stone, K.L.; Cauley, J.A. Inflammation, sleep disturbances, and depressed mood among community-dwelling older men. J. Psychosom. Res. 2014, 76, 368–373. [Google Scholar] [CrossRef] [PubMed]
  21. Dentino, A.N.; Pieper, C.F.; Rao, M.K.; Currie, M.S.; Harris, T.; Blazer, D.G.; Cohen, H.J. Association of interleukin-6 and other biologic variables with depression in older people living in the community. J. Am. Geriatr. Soc. 1999, 47, 6–11. [Google Scholar] [CrossRef] [PubMed]
  22. Penninx, B.W.; Kritchevsky, S.B.; Yaffe, K.; Newman, A.B.; Simonsick, E.M.; Rubin, S.; Ferrucci, L.; Harris, T.; Pahor, M. Inflammatory markers and depressed mood in older persons: Results from the Health, Aging and Body Composition study. Biol. Psychiatry 2003, 54, 566–572. [Google Scholar] [CrossRef]
  23. Naudé, P.J.W.; Eisel, U.L.M.; Comijs, H.C.; Groenewold, N.A.; de Deyn, P.P.; Bosker, F.J.; Luiten, P.G.; Den Boer, J.A.; Voshaar, R.O. Neutrophil gelatinase-associated lipocalin: A novel inflammatory marker associated with late-life depression. J. Psychosom. Res. 2013, 75, 444–450. [Google Scholar] [CrossRef] [PubMed]
  24. Moher, D.; Liberati, A.; Tetzlaff, J.; Altman, D.G.; PRISMA Group. Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. Int. J. Surg. 2010, 8, 336–341. [Google Scholar] [CrossRef] [PubMed]
  25. Critical Appraisal Tools Web 2.0 Platform. Available online: (accessed on 18 May 2015).
  26. Baune, B.T.; Smith, E.; Reppermund, S.; Air, T.; Samaras, K.; Lux, O.; Brodaty, H.; Sachdev, P.; Trollor, J.N. Inflammatory biomarkers predict depressive, but not anxiety symptoms during aging: The prospective Sydney Memory and Aging Study. Psychoneuroendocrinology 2012, 37, 1521–1530. [Google Scholar] [CrossRef] [PubMed]
  27. Bremmer, M.A.; Beekman, A.T.F.; Deeg, D.J.H.; Penninx, B.W.J.H.; Dik, M.G.; Hack, C.E.; Hoogendijk, W.J. Inflammatory markers in late-life depression: Results from a population-based study. J. Affect. Disord. 2008, 106, 249–255. [Google Scholar] [CrossRef] [PubMed]
  28. Forti, P.; Rietti, E.; Pisacane, N.; Olivelli, V.; Mariani, E.; Chiappelli, M.; Licastro, F.; Ravaglia, G. Blood inflammatory proteins and risk of incident depression in the elderly. Dement. Geriatr. Cogn. Disord. 2010, 29, 11–20. [Google Scholar] [CrossRef] [PubMed]
  29. Milaneschi, Y.; Corsi, A.M.; Penninx, B.W.; Bandinelli, S.; Guralnik, J.M.; Ferrucci, L. Interleukin-1 receptor antagonist and incident depressive symptoms over 6 years in older persons: The InCHIANTI study. Biol. Psychiatry 2009, 65, 973–978. [Google Scholar] [CrossRef] [PubMed]
  30. Van den Biggelaar, A.H.J.; Gussekloo, J.; de Craen, A.J.M.; Frölich, M.; Stek, M.L.; van der Mast, R.C.; Westendorp, R.G. Inflammation and interleukin-1 signaling network contribute to depressive symptoms but not cognitive decline in old age. Exp. Gerontol. 2007, 42, 693–701. [Google Scholar] [CrossRef] [PubMed]
  31. Stewart, J.C.; Rand, K.L.; Muldoon, M.F.; Kamarck, T.W. A prospective evaluation of the directionality of the depression-inflammation relationship. Brain Behav. Immun. 2009, 23, 936–944. [Google Scholar] [CrossRef] [PubMed]
  32. Yesavage, J.A.; Brink, T.L.; Rose, T.L.; Lum, O.; Huang, V.; Adey, M.; Leirer, V.O. Development and validation of a geriatric depression screening scale: A preliminary report. J. Psychiatr. Res. 1982, 17, 37–49. [Google Scholar] [CrossRef]
  33. Radloff, L.S. The CES-D scale: A self-report depression scale for research in the general population. J. Appl. Psychol. Meas. 1997, 1, 385–401. [Google Scholar] [CrossRef]
  34. Beck, A.T.; Steer, R.A.; Brown, G.K. Manual for the Beck Depression Inventory; The Psychological Corporation: San Antonio, TX, USA, 1996. [Google Scholar]
  35. American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders (DSM-III-R), Text Revision, 3rd ed.; American Psychiatric Association: Washington, DC, USA, 1987. [Google Scholar]
  36. Bortolato, B.; Carvalho, A.F.; Soczynska, J.K.; Perini, G.I.; McIntyre, R.S. The involvement of TNF-α in cognitive dysfunction associated with major depressive disorder: An opportunity for domain specific treatments. Curr. Neuropharmacol. 2015, 13, 558–576. [Google Scholar] [CrossRef] [PubMed]
  37. Neznanov, N.G.; Kozlova, S.N.; Mazo, G.E.; Shlyakhto, N.G.; Smirnov, B.I. Comorbidity of depressive disorders and coronary heart disease: General aspects of pathogenesis. Zhurnal Nevrol. Psikhiatrii Im. SS Korsakova Minist. Zdr. Meditsinskoĭ Promyshlennosti Ross. Fed. Vserossiĭskoe Obshchestvo Nevrol. Vserossiĭskoe Obshchestvo Psikhiatrov. 2015, 115, 20–26. [Google Scholar] [CrossRef]
  38. Kallaur, A.P.; Lopes, J.; Oliveira, S.R.; Reiche, E.M.; de Almeida, E.R.; Morimoto, H.K.; de Pereira, W.L.; Alfieri, D.F.; Borelli, S.D.; Kaimen-Maciel, D.R.; et al. Immune-inflammatory and oxidative and nitrosative stress biomarkers of depression symptoms in subjects with multiple sclerosis: Increased peripheral inflammation but less acute neuroinflammation. Mol. Neurobiol. 2016, 53, 5191–5202. [Google Scholar] [CrossRef] [PubMed]
  39. Postal, M.; Appenzeller, S. The importance of cytokines and autoantibodies in depression. Autoimmun. Rev. 2015, 14, 30–35. [Google Scholar] [CrossRef] [PubMed]
  40. Kim, J.M.; Stewart, R.; Kim, S.-W.; Kim, S.Y.; Bae, K.Y.; Kang, H.J.; Jang, J.E.; Shin, I.S.; Yoon, J.S. Physical health and incident late-life depression: Modification by cytokine genes. Neurobiol. Aging 2013, 34, 356.e1–356.e9. [Google Scholar] [CrossRef] [PubMed]
  41. Shelton, R.C.; Claiborne, J.; Sidoryk-Wegrzynowicz, M.; Reddy, R.; Aschner, M.; Lewis, D.A.; Mirnics, K. Altered expression of genes involved in inflammation and apoptosis in frontal cortex in major depression. Mol. Psychiatry 2011, 16, 751–762. [Google Scholar] [CrossRef] [PubMed]
  42. Stuart, M.J.; Baune, B.T. Chemokines and chemokine receptors in mood disorders, schizophrenia, and cognitive impairment: A systematic review of biomarker studies. Neurosci. Biobehav. Rev. 2014, 42, 93–115. [Google Scholar] [CrossRef] [PubMed]
  43. Suarez, E.C.; Krishnan, R.R.; Lewis, J.G. The relation of severity of depressive symptoms to monocyte-associated proinflammatory cytokines and chemokines in apparently healthy men. Psychosom. Med. 2003, 65, 362–368. [Google Scholar] [CrossRef] [PubMed]
  44. Kern, S.; Skoog, I.; Börjesson-Hanson, A.; Blennow, K.; Zetterberg, H.; Ostling, S.; Kern, J.; Gudmundsson, P.; Marlow, T.; Rosengren, L.; et al. Higher CSF interleukin-6 and CSF interleukin-8 in current depression in older women. Results from a population-based sample. Brain Behav. Immun. 2014, 41, 55–58. [Google Scholar] [CrossRef] [PubMed]
  45. Endrighi, R.; Steptoe, A.; Hamer, M. The effect of experimentally induced sedentariness on mood and psychobiological responses to mental stress. Br. J. Psychiatry 2015. [Google Scholar] [CrossRef] [PubMed]
  46. Mastorakos, G.; Chrousos, G.P.; Weber, J.S. Recombinant interleukin-6 activates the hypothalamic-pituitary-adrenal axis in humans. J. Clin. Endocrinol. Metab. 1993, 77, 1690–1694. [Google Scholar] [PubMed]
  47. Capuron, L.; Schroecksnadel, S.; Féart, C.; Aubert, A.; Higueret, D.; Barberger-Gateau, P.; Layé, S.; Fuchs, D. Chronic low-grade inflammation in elderly persons is associated with altered tryptophan and tyrosine metabolism: Role in neuropsychiatric symptoms. Biol. Psychiatry 2011, 70, 175–182. [Google Scholar] [CrossRef] [PubMed]
  48. Ganança, L.; Oquendo, M.A.; Tyrka, A.R.; Cisneros-Trujillo, S.; Mann, J.J.; Sublette, M.E. The role of cytokines in the pathophysiology of suicidal behavior. Psychoneuroendocrinology 2015, 63, 296–310. [Google Scholar] [CrossRef] [PubMed]
  49. Liu, Y.; Ho, R.C.-M.; Mak, A. Interleukin (IL)-6, tumour necrosis factor alpha (TNF-α) and soluble interleukin-2 receptors (sIL-2R) are elevated in patients with major depressive disorder: A meta-analysis and meta-regression. J. Affect. Disord. 2012, 139, 230–239. [Google Scholar] [CrossRef] [PubMed]
  50. 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. [Google Scholar] [CrossRef] [PubMed]
  51. Lehto, S.M.; Niskanen, L.; Miettola, J.; Tolmunen, T.; Viinamäki, H.; Mäntyselkä, P. Serum anti-inflammatory markers in general population subjects with elevated depressive symptoms. Neurosci. Lett. 2010, 484, 201–205. [Google Scholar] [CrossRef] [PubMed]
  52. Maes, M.; Song, C.; Yirmiya, R. Targeting IL-1 in depression. Expert Opin. Ther. Targets 2012, 16, 1097–1112. [Google Scholar] [CrossRef] [PubMed]
  53. 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. [Google Scholar] [CrossRef] [PubMed]
  54. Ovaskainen, Y.; Koponen, H.; Jokelainen, J.; Keinänen-Kiukaanniemi, S.; Kumpusalo, E.; Vanhala, M. Depressive symptomatology is associated with decreased interleukin-1 beta and increased interleukin-1 receptor antagonist levels in males. Psychiatry Res. 2009, 167, 73–79. [Google Scholar] [CrossRef] [PubMed]
  55. Hughes, M.F.; Patterson, C.C.; Appleton, K.M.; Blankenberg, S.; Woodside, J.V.; Donnelly, M.; Linden, G.; Zeller, T.; Esquirol, Y.; Kee, F. Predictive Value of Depressive Symptoms for All-Cause Mortality: Findings from the PRIME Belfast Study Examining the Role of Inflammation and Cardiovascular Risk Markers. Psychosom. Med. 2016, 78, 401–411. [Google Scholar] [CrossRef] [PubMed]
  56. Wakabayashi, C.; Numakawa, T.; Odaka, H.; Ooshima, Y.; Kiyama, Y.; Manabe, T.; Kunugi, H.; Iwakura, Y. IL-1 receptor-antagonist (IL-1ra) knockout mice show anxiety-like behavior by aging. Neurosci. Lett. 2015, 599, 20–25. [Google Scholar] [CrossRef] [PubMed]
  57. Réus, G.Z.; Jansen, K.; Titus, S.; Carvalho, A.F.; Gabbay, V.; Quevedo, J. Kynurenine pathway dysfunction in the pathophysiology and treatment of depression: Evidences from animal and human studies. J. Psychiatr. Res. 2015, 68, 316–328. [Google Scholar] [CrossRef] [PubMed]
  58. Müller, N. Immunology of major depression. Neuroimmunomodulation 2014, 21, 123–130. [Google Scholar] [PubMed]
Figure 1. PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) flowchart of publications selection procedure.
Figure 1. PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) flowchart of publications selection procedure.
Ijms 17 02022 g001
Table 1. Main characteristics of cohort studies included in the review.
Table 1. Main characteristics of cohort studies included in the review.
StudyCountryFollow-UpSampleAge Mean (SD)Inflammatory Parameters Assessed *Directionality of the Explored RelationshipMeasure of Depression **Change ScoreConfounders ConsideredResultsPotential Bias
Baune, 2012 [26]Australia2 years1037 non-depressed and non-demented individuals78.8 (4.8)IL-1β, IL-6, IL-8, IL-10, IL-12p70 CRP, PAI-1, sVCAM-1, SAA, TNF-α Ijms 17 02022 i001GDS [32]
  • Cutoff of ≥6 for depression
  • Gender, age, years of education, total number of medical disorders, cardiovascular disorders, endocrine disorders, smoking, BMI, current antidepressants, NSAIDs, statins, Mini Mental State Examination and Diabetes Mellitus
  • IL-8 and IL-6 at baseline were directly related to depression severity at baseline
  • IL-8 at baseline directly predicted depressive symptoms at follow-up
  • IL-12p70 at baseline showed an inverse relationship with GDS score at follow-up
  • Remitted depression at baseline was associated with baseline PAI-1 levels
  • A structured interview was not used to determine the diagnosis of depression
Bremmer, 2008 [27]The Netherlands1 year1285 elderly people75.4 (6.6)Il-6, CRP Ijms 17 02022 i001CES-D [33] and NIMH-Diagnostic Interview Schedule [34]
  • Cutoff of ≥16 for depression
  • Age, gender, educational level, household composition, current smoking, alcohol intake, medication use, several cardiovascular risk factors and chronic diseases
  • IL-6 plasma levels, but not CRP, were independently associated with major depression (either first or recurrent episodes). OR = 3.18 for depression in patients with high IL-6 levels
  • No association between inflammatory parameters with respect to symptom profiles
Forti, 2010 [28]Italy4 years704 elderly people73.4 (6.1)IL-6, CRP, ICAM-1, ACT, TNF-α Ijms 17 02022 i001GDS, DSM-IV criteria
  • Cutoff of ≥10 for depression
  • Years of education, BMI, cardiovascular disease, comorbidity, physical disability, anti-inflammatory drug use
  • U-shaped association between TNF-α and risk of incident depressive symptoms
  • A structured interview was not used to determine the diagnosis of depression
Milaneschi, 2009 [29]Italy3 and 6 years778 elderly people75 (7)IL-6, sIL-6r, IL-1β, IL-1ra, TNF-α, IL-18, CRP Ijms 17 02022 i001CES-D
  • Cutoff of ≥20 for depression
  • Age, gender, site, years of education, smoking habit, alcohol use, Mini Mental Stare Examination Score, BMI, number of drugs, use of NSAIDs, cardiovascular diseases and physical activity
  • IL-1ra predicted the development of depressed mood over 6 years’ follow-up; effect not detectable at the 3-year assessment
  • A structured interview was not used to determine the diagnosis of depression
  • The study design did not allow depressive episodes started and remitted between follow-up visits to be detected
Stewart, 2009 [31]USA6 years263 healthy adults (50–70 years)61 (4.8)IL-6, CRP Ijms 17 02022 i002BDI-II [35]
  • Change in the BDI-II score
  • Blood pressure, BMI, HDL cholesterol, triglycerides, fasting glucose, fasting insulin, diabetes, rheumatoid arthritis, carotid intima-media thickness, smoking status, alcohol intake and physical activity
  • Neither baseline IL-6 nor CRP were predictors of BDI-II change during the follow-up
  • Baseline BDI-II was positively associated with IL-6 change but was not a predictor of CRP change
  • Results not generalizable to racial groups other than white people, because only 35 non-white people were included in the study
Van den Biggelaar, 2007 [30]The Netherlands5 years599 aged people85 (0)IL-1β, IL-1ra, IL-6, IL-10, CPR, TNF-α Ijms 17 02022 i001GDS
  • Cutoff of ≥5 for depression
  • Gender, education, Mini Mental State Examination Score, comorbidity, disability, current smoking, BMI, serum levels of albumin, CRP and LPS-induced cytokine
  • Increased levels of IL-1β and CPR were significantly related to an increase in depressive symptoms
  • Increased levels of IL-1ra were related to a decrease in the risk of developing depression
  • A structured interview was not used to determine the diagnosis of depression
* IL: Interleukin; CRP: C-reactive protein; PAI-1: plasminogen activator inhibitor-1; sVCAM-1: serum vascular cell adhesion molecule-1; SAA: serum amyloid A; TNF-α: tumor necrosis factor-α; sIL-6r: soluble IL-6 receptor; IL-1ra: IL-1 receptor antagonist; ICAM-1: intracellular adhesion molecule-1; ACT: α-1-antichymotrypsin; ** GDS: Geriatric Depression Scale [32]; CES-D: Center for Epidemiological Studies-Depression Scale [33]; BDI-II: Beck Depression Inventory-II [35].
Table 2. Immunological markers and their role in inflammatory processes assessed in the articles reviewed.
Table 2. Immunological markers and their role in inflammatory processes assessed in the articles reviewed.
Proinflammatory parametersIL-1β: Interleukin 1β
IL-6: Interleukin 6
sIL-6r: soluble IL-6 receptor
IL-8: Interleukin 8
IL-12p70: IL-12 heterodimer
IL-18: Interleukin 18
CRP: C-reactive protein
TNF-α: Tumor necrosis factor α
ICAM-1: Intercellular adhesion molecule 1
ACT: α 1-antichymotrypsin
PAI-1: Plasminogen activator inhibitor-1
sVCAM-1: Soluble vascular cell adhesion molecule 1
Anti-inflammatory parametersIL-1ra: IL-1 receptor antagonist
IL-10: Interleukin 10
Int. J. Mol. Sci. EISSN 1422-0067 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top