- Open Access
Attenuated inflammatory response of monocyte-derived macrophage from patients with BD: a preliminary report
- Bruna M. Ascoli†1, 2,
- Mariana M. Parisi†3, 4,
- Giovana Bristot1, 4,
- Bárbara Antqueviezc1,
- Luiza P. Géa1, 5,
- Rafael Colombo6,
- Flávio Kapczinski2, 7, 8,
- Fátima Theresinha Costa Rodrigues Guma4, 9,
- Elisa Brietzke10,
- Florencia M. Barbé-Tuana†3, 11 and
- Adriane R. Rosa†1, 2, 5Email authorView ORCID ID profile
© The Author(s) 2019
- Received: 5 February 2019
- Accepted: 3 May 2019
- Published: 1 June 2019
Innate immune system dysfunction has been recognized as an important element in the pathophysiology of bipolar disorder (BD). We aimed to investigate whether there are differences in the response of macrophages derived from patients in the early stages and late stages of BD and healthy subjects.
Human monocytes purified from peripheral blood mononuclear cells (PBMCs) of patients with BD type I (n = 18)—further classified into early- and late stage BD patients according to their functioning- and from healthy individuals (n = 10) were differentiated into macrophages in vitro. Monocyte-derived macrophages (M) were exposed to IFNγ plus LPS-M(IFNγ + LPS)- or IL-4-M(IL-4)—to induce their polarization into the classical (also called M1) or alternative (also called M2) activation phenotypes, respectively; or either Mψ were not exposed to any stimuli characterizing the resting state (denominated M0). In vitro secretion of cytokines, such as IL-1β, IL-6, IL-10, and TNF-α, was used as an index of macrophage activity.
M(IFNγ + LPS) from late-stage BD patients produced less amount of IL-1β, IL-6, and IL-10 when compared to early-stage BD patients and healthy controls. Following alternative activation, M(IL-4) derived from late-stage patients secreted less IL-6 compared to the other groups. TNFα was less secreted by all macrophage phenotypes derived from late-stage patients when compared to healthy controls only (p < 0.005). Mψ from late-stage patients exhibited lower production of IL-1β and IL-10 compared to macrophages from healthy subjects and early-stage patients respectively. Interestingly, cytokines secretion from M(IFNγ + LPS), M(IL-4) and Mψ were similar between early-stage patients and healthy controls.
Our results suggest a progressive dysfunction in the response of peripheral innate immune cells of BD patients in the late stages of the illness. This failure in the regulation of the immune system function may be implicated in the multisystemic progression of BD.
- Bipolar disorder
- Mood disorders
- Inflammatory cytokines
- Macrophage polarization
- Macrophage dysfunction
A remarkable recent shift in the understanding of bipolar disorder (BD) pathophysiology was the systematic documentation of its clinical and neurobiological progression (Berk et al. 2017; Kapczinski et al. 2014). At least for a large subgroup of patients, BD natural history, especially when not adequately treated, follows a progressive course with more episodes being associated with cognitive deficits, structural brain changes and treatment resistance (Bauer et al. 2017; Kessing and Andersen 2017). However, the validity of different methods that enable to discriminate in which point of the clinical and neurobiological progression of BD each patient would it remain under debate (Kapczinski et al. 2009). Nevertheless, taking into account ecological validity, instruments focused on functionality naturally emerge as a potentially useful tool. For instance, the Functioning Assessment Short Test (FAST) as previously described by Rosa et al. (2014), was used to discriminate between patients at early and late stages of BD. Early-stage BD patients were defined as exhibiting a mean FAST score lower than 11, while late-stage patients were those with a mean FAST score higher than 40 (Bonnín et al. 2018).
In addition to clinical course worsening and brain-related variables progressive deterioration, BD also has been conceptualized as a multisystemic progressive disorder (Brietzke et al. 2018; Leclerc et al. 2018). Longer duration of illness and a higher number of manic and depressive episodes have been shown to continuously increase the risk for general medical comorbidities, especially those linked to metabolic and immune dysfunction. There is strong replicated evidence showing a positive association between the number of mood episodes, mainly of manic polarity, and insulin and glucose dysfunction (Mansur et al. 2016a). Besides, these peripheral abnormalities also have been linked to suboptimal functioning as well as functional deterioration in individuals with mood disorders (Lin et al. 2014; Mansur et al. 2016b; McIntyre et al. 2011).
While the biological underpinnings of multisystemic progression in BD remain not completely known, there is a growing body of evidence suggesting the involvement of an immune response dysfunction in the pathogenesis of BD (Beumer et al. 2012; Drexhage et al. 2011; Haarman et al. 2014; Snijders et al. 2016). Two recent meta-analyses have shown that individuals with BD have an average peripheral level of proinflammatory cytokines higher than healthy controls (Modabbernia et al. 2013; Munkholm et al. 2013), but findings are heterogeneous (Boufidou et al. 2004; Brietzke et al. 2009; Guloksuz et al. 2010). Possible reasons for this heterogeneity may be attributed to non-controlled selection biases, as well as to the biological complexity of BD itself (Drexhage et al. 2010). Notwithstanding, the simple measurement of peripheral cytokines levels offers limited information about the functionality of the immune system in BD. Issues such as a large proportion of cases with subthreshold levels of cytokines, and especially the lack of information about which cell types could be the source of the cytokines may be better elucidated with in vitro studies (Rizzo et al. 2018). However, these studies are both relatively rare, and most of them do not integrate variables related to the clinical course of the disorder (Alcocer-Gómez et al. 2017). Hence, studies focusing on the main cellular producers of these cytokines—such as endothelial cells, monocytes, monocyte-derived dendritic cells, macrophages, and T cells—may represent an alternative approach to find stable markers for the immune response in BD (Becking et al. 2015).
Macrophages, as well as their counterparts in the central nervous system (CNS), the microglia, are essential components of the innate immune system, involved in the initiation and progression of various inflammatory and autoimmune diseases (Hammer et al. 2017). These cells have remarkable plasticity, as they switch and interconvert into different phenotypes and acquire functional characteristics, according to local cytokine milieu. In the presence of an inflammatory stimulus, such as lipopolysaccharide (LPS), interferon (IFN) and tumor necrosis factor (TNF), epigenetic changes in macrophages lead them to acquire a specific phenotype, associated with augmented secretion of proinflammatory cytokines and functional enhanced killing activity, denominated classical activation or M1 phenotype (Franco and Fernández-Suárez 2015). Macrophages can also display opposite abilities and acquire tissue repair actions to promote tissue homeostasis through a resolving, repair or healing anti-inflammatory phenotype (Nakagawa and Chiba 2015), called alternative activation phenotype or M2 phenotype. However, additional polarization profiles are observed with mixed phenotypes and functions (Xue et al. 2014).
Macrophages have multiple functions. For instance, these cells are constantly sampling the environment through their damage- and pathogen-associated molecular patterns (DAMPs and PAMPs) receptors, and can switch from the heal to kill function (Mills et al. 2014), inducing a different transcriptome program (Beyer et al. 2012) for phagocytosis of pathogens and clearance of cell debris. Eventually, macrophages act as effectors cells of cell-mediated immunity by presenting antigens to T cells and producing different types of cytokines and chemokines. These cells are not only key players in the initiation of inflammation, but also orchestrate its resolution (Linton and Thoman 2014). However, these homeostatic and reparative functions can be changed by continuous insult, resulting in the association of macrophages with distinct pathologies (Shapouri-Moghaddam et al. 2018).
The “macrophage-T cell theory” in psychiatry was initially described in 1992 (Barbosa et al. 2014). According to this theory, chronically activated macrophages and T cells produce cytokines and inflammatory mediators, which destabilize the brain in such a way that genetic and environmental influences can precipitate psychiatric symptoms (Beumer et al. 2012; Drexhage et al. 2010). In this regard, Haarman et al. (2014) investigated an extensive set of monocyte gene expression in BD patients showing a possible relationship between pro-inflammatory gene expression profile and the course of the illness, especially in individuals with earlier age at onset and longer duration of BD illness. Other two gene-expression profiling studies detected higher expression of a coherent set of 34 gene transcripts in the circulating monocytes of BD patients, suggesting an inflammatory gene expression “biosignature” (Drexhage et al. 2010; Padmos et al. 2008). In particular, the overexpression of monocyte activation genes was evident in 60–70% of cases, most in patients with mania, current depression or active psychosis. More recently, we investigated whether biochemical changes in the serum from BD patients during episodes could modulate the phenotype of the U-937 monocytic cell line (Ferrari et al. 2018). Our observations showed a robust upregulation in the expression of interleukin (IL)-1β and TNF in the cells that were treated with serum from manic and depressive patients compared with those treated with serum from euthymic patients (Ferrari et al. 2018).
Based on the role of the immune system in the multisystemic progression of BD, this study aimed to preliminarily investigate, in a primary culture of monocyte-derived macrophages (Mψ) from BD patients and healthy controls, the macrophage response following polarization. Also, we aimed to further examine potential differences in this pattern of macrophages derived from early and late stages of BD, without the limitations of measuring peripheral levels of cytokines.
Outpatients were recruited from the Bipolar Disorders Program at the Hospital de Clínicas de Porto Alegre (HCPA, Brazil). Inclusion criteria were (a) age > 18 years, (b) fulfillment of DSM-IV criteria for bipolar I (SCID-I), and (c) meeting criteria of remission defined as a score < 7 on both the Hamilton Depression Rating Scale (17-HAM-D) (Hamilton 1960) and the Young Mania Rating Scale (YMRS) (Young et al. 1978) for at least 1 month previous to the assessment. All patients received pharmacological treatment. Exclusion criteria included a history of any acute or chronic infectious or inflammatory diseases, autoimmune diseases, any severe or uncompensated general medical comorbidity, use of anti-inflammatory or immunomodulatory medications, pregnancy and postpartum period.
The BD group (n = 18) was evaluated regarding the clinical stage using the FAST. This is a 24-item scale that allows us the assessment of six specific areas of functioning: autonomy, occupational functioning, cognitive functioning, financial issues, interpersonal relationships and leisure time. The overall FAST score ranges from 0 to 72, where higher scores indicate greater disability (Rosa et al. 2007, 2009). For this study, patients were classified in early and late stages according to FAST as previously described in Rosa et al. (2014). Therefore, early-stage BD (BD-E, n = 9) was defined when patients present with a FAST score ≤ 11, and late-stage BD (BD-L, n = 9) as those with a FAST score ≥ 40. The Cognitive Bipolar Rating Assessment (COBRA) was also used to assess cognitive complaints in both groups (Lima et al. 2018).
The control group (HC, n = 10) consisted of healthy volunteers who had no current or previous history as well as no first-degree family history of major psychiatric disorders, assessed by the non-patient version of the Structured Clinical Interview for DSM-IV (SCID). Also, healthy subjects did not use any psychotropic or other medication and were free of any relevant medical illness that might have affected inflammation status at least 2 weeks before blood withdrawal.
All participants provided written informed consent before their inclusion. Procedures were approved by the Institutional Review Board of Hospital de Clínicas de Porto Alegre (HCPA, project number 150396).
Monocyte isolation from PBMCs
To induce polarization, Mψ were polarized towards the classical—mainly proinflammatory- or alternative—mainly anti-inflammatory—profiles (Ambarus et al. 2012; Becker et al. 2015; Solinas et al. 2010). In this regard, Mψ cultures were incubated for additional 24 h with RPMI + 10% FBS either supplemented with IFNγ (20 ng/mL, Peprotech) and LPS (100 ng/mL, Sigma-Aldrich®)—M(IFNγ + LPS)- or IL-4 (20 ng/mL, Peprotech)—M(IL-4)-, for the classical (M1) and alternative (M2) phenotypes, respectively.
After incubation, supernatants were collected and cytokines, such as IL-1β, IL-6, IL-10, and TNF-, were measured by multiplex assay using a Milliplex Map Human High Sensitivity T Cell Magnetic Bead Panel (HSTCMAG-28SK), according to the manufacturer’s instructions (Millipore, USA). Briefly, each diluted standard or quality control was added into the appropriate wells, and the assay buffer and macrophage culture supernatants were added to the sample wells. The magnetic beads were pipetted and the plates were sealed and incubated under agitation on the plate shaker for 16 h at 4 °C. Then, plates were washed three times and followed by the addition of detection antibodies into each well. After 1 h of incubation under agitation at room temperature, streptavidin conjugated to the fluorescent protein phycoerythrin was added and the plates were incubated for an additional 30 min at room temperature. Thereafter, plates were washed to remove the unbound streptavidin–phycoerythrin, sheath fluid was added to all wells and the beads were resuspended on the plate shaker for 5 min. The beads (minimum of 50 beads per cytokine) were analyzed in the Luminex® 200TM instrument, which monitored the spectral properties of the beads while simultaneously measuring the amount of fluorescence associated with phycoerythrin. Raw data (median fluorescence intensity, MFI) was analyzed using a 5-parameter logistic method to determine concentrations of IL-1β, IL-6, IL-10 and TNFα (Luminex Xponent software 3.1).
Protein content from each culture was corrected using a standard curve from diluted bovine albumin serum (BSA) ranging from 0 to 70 µg/mL (Peterson 1979).
Data were normalized using log-transformation, which was confirmed using Shapiro–Wilk’s test, and the homogeneity of variances was also confirmed by Levene’s test. Then, log-transformed data of each cytokine level from each polarization phenotype was analyzed using one-way ANOVA and considering staging (control, BD-E, and BD-L) as the independent variable. Post hoc comparisons were performed using Tukey and p < 0.05 were considered significant.
Demographic and clinical features
Characteristics of the sample
Controls (n = 10)
BD-E (n = 9)
BD-L (n = 9)
F, t, x2
Years of educationb
Age of bipolar diagnosis (years)b
Number of hospitalizationsb
BD type Ia
Lower secretion of cytokines by Mψ, M(IFNγ + LPS) and M(IL-4) derived from BD-L
For all pro-inflammatory cytokines levels, one-way ANOVA indicated differences among groups for Mψ (IL-1β, F2,25 = 3.99, p = 0.031; TNFα, F2,25 = 4.15, p = 0.028; and IL-6, F2,25 = 3.55, p = 0.044) and M(IFNγ + LPS) (IL-1β, F2,25 = 8.24, p = 0.002; TNFα, F2,25 = 7.98, p = 0.002; and IL-6, F2,25 = 7.44, p = 0.003) phenotypes. No differences were observed in the secretion of these cytokines by M(IL-4) phenotype (IL-1β, F2,25 = 0.74, p = 0.488; TNFα, F2,25 = 2.98, p = 0.069; and IL-6, F2,25 = 0.92, p = 0.413).
The results of this preliminary and mechanistic study advance in the knowledge about the way that macrophages from BD patients across different stages of illness respond to stimuli, following classical (IFNγ and LPS) and alternative (IL-4) activation. To our knowledge, this is the first study showing a dysfunctional macrophage response against an inflammatory milieu in BD; and further investigating how these patterns change from early to more advanced stages of illness, given by the decreased secretion of inflammatory cytokines in late-stage patients. Albeit very preliminary, our data also suggest that a macrophage activity dysfunction occurs in parallel with the progression of the disease. In this way, our results showed a similar pattern of macrophage activation between patients in early stages of illness and healthy individuals, and, as the disease progresses, a significant decrease in macrophage activity was observed.
We used the secretion of IL-1β, TNFα, IL-6, and IL-10 as indexes of macrophage activity, as suggested by the literature (Becker et al. 2015). Our analysis provided a direct quantification of macrophages markers, given by cytokines secretion, across all induced phenotypes—Mψ, M(IFNγ + LPS) and M(IL-4)—and showed an association of changes in this secretion with different stages of illness. Interestingly, M(IFNγ + LPS) from patients at late stages of BD secreted lower amounts of IL-1β, TNFα and IL-6 as well as IL-10 compared to BD-E and HC. In Mψ, decreased levels of IL-1β and IL-10 were observed in BD-L derived cells compared to HC and TNFα and IL-6 when compared to BD-E. Furthermore, M(IL-4) from BD-L produced less IL-10 when compared to the other groups. Accordingly, our data sustain the hypothesis that during the early stages of the illness, macrophages that are exposed to inflammatory and anti-inflammatory stimuli present with intact function and polarize into what is known as classical (M1) and alternative (M2) phenotypes, respectively. However, in more advanced stages of BD, the secretion of macrophage markers is decreased, suggesting a decline in its activity. Corroborating these findings, a previous study showed that IL-10 was increased in the serum of early-stage BD patients, but not in the late-stage BD (Kauer-Sant’Anna et al. 2009). IL-10 can suppress the exacerbated immune response by neutralizing the deleterious effects of oxidative stress and proinflammatory cytokines, and increased levels may represent a compensatory response to counterbalance inflammatory process during BD, particularly at early stages (Modabbernia et al. 2013). On the other hand, the inability of macrophages to secrete adequate levels of IL-10, as observed in the BD-L, may represent a risk factor for poor prognosis. Furthermore, our findings support the concept of staging in BD showing a relationship between macrophage dysfunction and the chronic course of the illness.
Although data regarding the effects of BD on specific immune cell types are scarce, Knijff et al. (2007) reported that, after LPS stimulation, monocytes from BD patients secreted reduced levels of IL-1β and enhanced IL-6 production compared to the healthy subjects. Another independent study in major depression also showed that LPS-induced monocytes from patients with depression secreted lower levels of IL-1β, IL-6, and TNFα than those from the control group (Zhang et al. 2018). A recent report revealed that individuals with a history of early life adversity (e.g., young adults who had experienced parental loss in early life and were subsequently adopted) exhibited higher expression of the T cells markers and lower levels of IL-6 derived from ex vivo LPS-monocytes stimulation (Elwenspoek et al. 2017). Taken together these data suggest a reduction in macrophage functionality in stress-related disorders. Considering that macrophages are among the first innate line of defense against self and non-self-stimuli, it is plausible to speculate that mood disorders are associated with an immune tolerance phenomenon. If so, this would help to explain why individuals with psychiatric disorders are more likely to experience infections and immune-related disorders as well as have poor vaccine response (Barbuti et al. 2017; Zhang et al. 2018).
IL-6 and IL-1β are potent pleiotropic cytokines, with mainly proinflammatory effector function, that augment immune responses via induction of T cell activation, B cell proliferation, and differentiation, and stimulate acute phase protein release. In contrast to IL-6, increased IL-10 expression counteracts T cell responses, enhances injury-associated immunosuppression, and increases susceptibility to infection (Pfortmueller et al. 2017). Besides, these circulating cytokines can cross the blood–brain barrier and activate microglia through direct and indirect pathways which ultimately increases local production of inflammatory cytokines and oxidative stress mediators (Biesmans et al. 2013; Jakobsson et al. 2015). In this regard, Bayer et al. (1999) found increased microglial activation associated with HLA-DR expression—an MHC-II—in the prefrontal cortex (PFC) of affective disorder and schizophrenia patients at later stages, when compared to healthy individuals. Steiner et al. (2008) observed a marked microgliosis in the PFC and thalamus of individuals with depression and schizophrenia who committed suicide, suggesting a strong association between microglial activation and the severity of psychiatric disorders. Although brain microglia and macrophages and blood-derived monocytes have different embryonic origins (Goldmann et al. 2016), under a state of chronic sterile inflammation, as it occurs in BD, triggered by social defeat stress (Wohleb et al. 2011) or TNFα (D’Mello et al. 2009), immune-activated cells can migrate to the CNS. This cellular pathway mechanism has been elucidated in depression and sheds light into how inflammatory pathways from the periphery can transmit signals to the brain through the trafficking of preferentially bone-marrow derived monocytes, to brain vasculature and parenchyma. These observations suggest that common inflammatory markers from the innate immune system are present in the CNS and the periphery blood.
Furthermore, basal expression of innate receptors in monocytes from individuals with BD, such as Toll-like receptors (TLRs)-1, -2 and -6 are augmented under static conditions, but associated to reduced secretion of cytokines after stimulation (Wieck et al. 2016). Of interest, in previous studies conducted by our group, we observed increased DAMPs, which are endogenous signals released during cell stress, damage or death, in the serum of patients with BD (Stertz et al. 2015). DAMPs, in its turn, may bind to the TLRs, activating several signaling pathways and culminating in a sterile inflammation response (Stertz et al. 2015). Macrophages orchestrate cellular responses against a complex and diverse range of insults via pattern recognition receptors such as TLRs and Nod-like receptors (NLRs). In this sense, the activation of macrophages through DAMPs, TLRs and NLRs leads to the secretion of inflammatory mediators such as IL-1β. Corroborating with this, an increase in DAMPs release and early apoptosis in PBMCs of patients with BD has already been described (Fries et al. 2014). Since macrophages are responsible for the clearance of these molecules through phagocytosis, accumulation of DAMPs in BD may be related to macrophage dysfunction. Besides, the inability of macrophages from BD patients in the late stages of illness to respond to TLR stimulation through DAMPs could represent a risk factor for increased susceptibility to infections.
The present study has several limitations. First, the inclusion of participants was done by convenience. Therefore, we could not statistically control for potential determinants of immune response alterations, such as intrinsic cell defects, altered microenvironment, inflammation, biological stress, nutritional state or extrinsic factors such as additional environmental factors. Second, functioning was the criteria used to discriminate BD patients into stages since there is no valid method that covers clinical characteristics and functional status. Third, all patients were on polypharmacy, and the immune-modulating effects of medications in a patient with BD may have influenced our results. Also, despite being an exploratory design with small sample size, we consider that our results are important for the development and testing of new hypothesis in further studies.
This work was supported by the FIPE-HCPA (Project Number 150396); and the National Council for Scientific and Technological Development (CNPq, Brazil—Project Number PQ 305707-2015/9). Also, GB and BA are scholarship recipients from National Council for Scientific and Technological Development (CNPq, Brazil), and LPG is scholarship recipient from the Coordination of Superior Level Staff Improvement (CAPES, Brazil).
FMBT, ARR, and FK designed the study, wrote the protocol, and were responsible for the analysis and interpretation of data. BMA, MMP, GB, BA, LPG, and RC participated in study design. RC, FMBT, ARR, FTCRG, and EB were responsible for drafting the article. All authors read and approved the final manuscript.
Ethics approval and consent to participate
All participants provided written informed consent before their inclusion. Experimental procedures were performed in accordance with national and international ethical standards, and this study was approved by the Institutional Review Board of Hospital de Clínicas de Porto Alegre (HCPA, Project Number 150396).
Consent for publication
The authors declare that they have no competing interests.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
- Alcocer-Gómez E, Casas-Barquero N, Williams MR, Romero-Guillena SL, Cañadas-Lozano D, Bullón P, et al. Antidepressants induce autophagy dependent-NLRP3-inflammasome inhibition in major depressive disorder. Pharmacol Res. 2017;121:114–21.View ArticleGoogle Scholar
- Ambarus CA, Krausz S, van Eijk M, Hamann J, Radstake TRDJ, Reedquist KA, et al. Systematic validation of specific phenotypic markers for in vitro polarized human macrophages. J Immunol Methods. 2012;375(1–2):196–206.View ArticleGoogle Scholar
- Barbosa IG, Rocha NP, Assis F, Vieira ÉLM, Soares JC, Bauer ME, et al. Monocyte and lymphocyte activation in bipolar disorder: a new piece in the puzzle of immune dysfunction in mood disorders. Int J Neuropsychopharmacol. 2014;18:1.Google Scholar
- Barbuti M, Carvalho AF, Köhler CA, Murru A, Verdolini N, Guiso G, et al. Thyroid autoimmunity in bipolar disorder: a systematic review. J Affect Disord. 2017;15(221):97–106.View ArticleGoogle Scholar
- Bauer IE, Soares JC, Selek S, Meyer TD. The link between refractoriness and neuroprogression in treatment–resistant bipolar disorder. Mod Trends Pharmacopsychiatry. 2017;31:10–26.View ArticleGoogle Scholar
- Bayer TA, Buslei R, Havas L, Falkai P. Evidence for activation of microglia in patients with psychiatric illnesses. Neurosci Lett. 1999;271(2):126–8.View ArticleGoogle Scholar
- Becker M, De Bastiani MA, Parisi MM, Guma FTCR, Markoski MM, Castro MAA, et al. Integrated transcriptomics establish macrophage polarization signatures and have potential applications for clinical health and disease. Sci Rep. 2015;5:13351.View ArticleGoogle Scholar
- Becking K, Haarman BCM, van der Lek RFR, Grosse L, Nolen WA, Claes S, et al. Inflammatory monocyte gene expression: trait or state marker in bipolar disorder? Int J Bipolar Disord. 2015;3(1):20.View ArticleGoogle Scholar
- Berk M, Post R, Ratheesh A, Gliddon E, Singh A, Vieta E, et al. Staging in bipolar disorder: from theoretical framework to clinical utility. World Psychiatry Off J World Psychiatr Assoc WPA. 2017;16(3):236–44.Google Scholar
- Beumer W, Gibney SM, Drexhage RC, Pont-Lezica L, Doorduin J, Klein HC, et al. The immune theory of psychiatric diseases: a key role for activated microglia and circulating monocytes. J Leukoc Biol. 2012;92(5):959–75.View ArticleGoogle Scholar
- Beyer M, Mallmann MR, Xue J, Staratschek-Jox A, Vorholt D, Krebs W, et al. High-resolution transcriptome of human macrophages. PLoS ONE. 2012;7(9):e45466.View ArticleGoogle Scholar
- Biesmans S, Meert TF, Bouwknecht JA, Acton PD, Davoodi N, De Haes P, et al. Systemic immune activation leads to neuroinflammation and sickness behavior in mice. Mediators Inflamm. 2013;2013:271359.View ArticleGoogle Scholar
- Bonnín CM, Martínez-Arán A, Reinares M, Valentí M, Solé B, Jiménez E, et al. Thresholds for severity, remission and recovery using the functioning assessment short test (FAST) in bipolar disorder. J Affect Disord. 2018;240:57–62.View ArticleGoogle Scholar
- Boufidou F, Nikolaou C, Alevizos B, Liappas IA, Christodoulou GN. Cytokine production in bipolar affective disorder patients under lithium treatment. J Affect Disord. 2004;82(2):309–13.View ArticleGoogle Scholar
- Brietzke E, Kauer-Santnna M, Teixeira AL, Kapczinski F. Abnormalities in serum chemokine levels in euthymic patients with bipolar disorder. Brain Behav Immun. 2009;23(8):1079–82.View ArticleGoogle Scholar
- Brietzke E, Mansur RB, McIntyre RS. Coronary calcium score as an expression of multisystemic progression of bipolar disorder. Rev Bras Psiquiatr Sao Paulo Braz. 2018;40(4):459–60.View ArticleGoogle Scholar
- D’Mello C, Le T, Swain MG. Cerebral microglia recruit monocytes into the brain in response to tumor necrosis factor alpha signaling during peripheral organ inflammation. J Neurosci Off J Soc Neurosci. 2009;29(7):2089–102.View ArticleGoogle Scholar
- Drexhage RC, van der Heul-Nieuwenhuijsen L, Padmos RC, van Beveren N, Cohen D, Versnel MA, et al. Inflammatory gene expression in monocytes of patients with schizophrenia: overlap and difference with bipolar disorder. A study in naturalistically treated patients. Int J Neuropsychopharmacol. 2010;13(10):1369–81.View ArticleGoogle Scholar
- Drexhage RC, Hoogenboezem TH, Versnel MA, Berghout A, Nolen WA, Drexhage HA. The activation of monocyte and T cell networks in patients with bipolar disorder. Brain Behav Immun. 2011;25(6):1206–13.View ArticleGoogle Scholar
- Elwenspoek MMC, Hengesch X, Leenen FAD, Schritz A, Sias K, Schaan VK, et al. Proinflammatory T cell status associated with early life adversity. J Immunol Baltim Md 1950. 2017;199(12):4046–55.Google Scholar
- Ferrari P, Parisi MM, Colombo R, Becker M, Fries G, Ascoli BM, et al. Depression and mania induce pro-inflammatory activation of macrophages following application of serum from individuals with bipolar disorder. Clin Psychopharmacol Neurosci Off Sci J Korean Coll Neuropsychopharmacol. 2018;16(1):103–8.View ArticleGoogle Scholar
- Franco R, Fernández-Suárez D. Alternatively activated microglia and macrophages in the central nervous system. Prog Neurobiol. 2015;131:65–86.View ArticleGoogle Scholar
- Fries GR, Vasconcelos-Moreno MP, Gubert C, Santos BTMQD, Rosa ALST, Eisele B, et al. Early apoptosis in peripheral blood mononuclear cells from patients with bipolar disorder. J Affect Disord. 2014;152:474–7.View ArticleGoogle Scholar
- Goldmann T, Wieghofer P, Jordão MJC, Prutek F, Hagemeyer N, Frenzel K, et al. Origin, fate and dynamics of macrophages at central nervous system interfaces. Nat Immunol. 2016;17(7):797–805.View ArticleGoogle Scholar
- Guloksuz S, Cetin EA, Cetin T, Deniz G, Oral ET, Nutt DJ. Cytokine levels in euthymic bipolar patients. J Affect Disord. 2010;126(3):458–62.View ArticleGoogle Scholar
- Haarman BCM, Lek RF, Burger H, Netkova M, Drexhage RC, Bootsman F, et al. Relationship between clinical features and inflammation-related monocyte gene expression in bipolar disorder—towards a better understanding of psychoimmunological interactions. Bipolar Disord. 2014;16(2):137–50.View ArticleGoogle Scholar
- Hamilton M. A rating scale for depression. J Neurol Neurosurg Psychiatry. 1960;23:56–62.View ArticleGoogle Scholar
- Hammer A, Stegbauer J, Linker RA. Macrophages in neuroinflammation: role of the renin–angiotensin-system. Pflugers Arch. 2017;469(3–4):431–44.View ArticleGoogle Scholar
- Jakobsson J, Bjerke M, Sahebi S, Isgren A, Ekman CJ, Sellgren C, et al. Monocyte and microglial activation in patients with mood-stabilized bipolar disorder. J Psychiatry Neurosci. 2015;40(4):250–8.View ArticleGoogle Scholar
- Kapczinski F, Dias VV, Kauer-Sant’Anna M, Frey BN, Grassi-Oliveira R, Colom F, et al. Clinical implications of a staging model for bipolar disorders. Expert Rev Neurother. 2009;9(7):957–66.View ArticleGoogle Scholar
- Kapczinski F, Magalhães PVS, Balanzá-Martinez V, Dias VV, Frangou S, Gama CS, et al. Staging systems in bipolar disorder: an International Society for Bipolar Disorders Task Force Report. Acta Psychiatr Scand. 2014;130(5):354–63.View ArticleGoogle Scholar
- Kauer-Sant’Anna M, Kapczinski F, Andreazza AC, Bond DJ, Lam RW, Young LT, et al. Brain-derived neurotrophic factor and inflammatory markers in patients with early- vs. late-stage bipolar disorder. Int J Neuropsychopharmacol. 2009;12(4):447–58.View ArticleGoogle Scholar
- Kessing LV, Andersen PK. Evidence for clinical progression of unipolar and bipolar disorders. Acta Psychiatr Scand. 2017;135(1):51–64.View ArticleGoogle Scholar
- Knijff EM, Breunis MN, Kupka RW, de Wit HJ, Ruwhof C, Akkerhuis GW, et al. An imbalance in the production of IL-1beta and IL-6 by monocytes of bipolar patients: restoration by lithium treatment. Bipolar Disord. 2007;9(7):743–53.View ArticleGoogle Scholar
- Leclerc E, Mansur RB, Grassi-Oliveira R, Cordeiro Q, Kapczinski F, McIntyre RS, et al. The differential association between history of childhood sexual abuse and body mass index in early and late stages of bipolar disorder. J Affect Disord. 2018;227:214–8.View ArticleGoogle Scholar
- Lima FM, Cardoso TA, Serafim SD, Martins DS, Solé B, Martínez-Arán A, et al. Validity and reliability of the Cognitive Complaints in Bipolar Disorder Rating Assessment (COBRA) in Brazilian bipolar patients. Trends Psychiatry Psychother. 2018;40(2):170–8.View ArticleGoogle Scholar
- Lin C-H, Chen C-C, Wong J, McIntyre RS. Both body weight and BMI predicts improvement in symptom and functioning for patients with major depressive disorder. J Affect Disord. 2014;161:123–6.View ArticleGoogle Scholar
- Linton P-J, Thoman ML. Immunosenescence in monocytes, macrophages, and dendritic cells: lessons learned from the lung and heart. Immunol Lett. 2014;162(1):290–7.View ArticleGoogle Scholar
- Mansur RB, Rizzo LB, Santos CM, Asevedo E, Cunha GR, Noto MN, et al. Impaired glucose metabolism moderates the course of illness in bipolar disorder. J Affect Disord. 2016a;195:57–62.View ArticleGoogle Scholar
- Mansur RB, Santos CM, Rizzo LB, Asevedo E, Cunha GR, Noto MN, et al. Brain-derived neurotrophic factor, impaired glucose metabolism, and bipolar disorder course. Bipolar Disord. 2016b;18(4):373–8.View ArticleGoogle Scholar
- McIntyre RS, Liauw S, Taylor VH. Depression in the workforce: the intermediary effect of medical comorbidity. J Affect Disord. 2011;128(Suppl 1):S29–36.View ArticleGoogle Scholar
- Mills CD, Thomas AC, Lenz LL, Munder M. Macrophage: sHIP of Immunity. Front Immunol. 2014;5:620.View ArticleGoogle Scholar
- Modabbernia A, Taslimi S, Brietzke E, Ashrafi M. Cytokine alterations in bipolar disorder: a meta-analysis of 30 studies. Biol Psychiatry. 2013;74(1):15–25.View ArticleGoogle Scholar
- Munkholm K, Braüner JV, Kessing LV, Vinberg M. Cytokines in bipolar disorder vs healthy control subjects: a systematic review and meta-analysis. J Psychiatr Res. 2013;47(9):1119–33.View ArticleGoogle Scholar
- Nakagawa Y, Chiba K. Diversity and plasticity of microglial cells in psychiatric and neurological disorders. Pharmacol Ther. 2015;154:21–35.View ArticleGoogle Scholar
- Padmos RC, Hillegers MHJ, Knijff EM, Vonk R, Bouvy A, Staal FJT, et al. A discriminating messenger RNA signature for bipolar disorder formed by an aberrant expression of inflammatory genes in monocytes. Arch Gen Psychiatry. 2008;65(4):395–407.View ArticleGoogle Scholar
- Peterson GL. Review of the Folin phenol protein quantitation method of Lowry, Rosebrough, Farr and Randall. Anal Biochem. 1979;100(2):201–20.View ArticleGoogle Scholar
- Pfortmueller CA, Meisel C, Fux M, Schefold JC. Assessment of immune organ dysfunction in critical illness: utility of innate immune response markers. Intensive Care Med Exp. 2017;5(1):49.View ArticleGoogle Scholar
- Rizzo LB, Swardfager W, Maurya PK, Graiff MZ, Pedrini M, Asevedo E, et al. An immunological age index in bipolar disorder: a confirmatory factor analysis of putative immunosenescence markers and associations with clinical characteristics. Int J Methods Psychiatr Res. 2018;27(4):e1614.View ArticleGoogle Scholar
- Rosa AR, Magalhães PVS, Czepielewski L, Sulzbach MV, Goi PD, Vieta E, et al. Clinical staging in bipolar disorder: focus on cognition and functioning. J Clin Psychiatry. 2014;75(5):e450–6.View ArticleGoogle Scholar
- Rosa AR, Reinares M, Franco C, Comes M, Torrent C, Sánchez-Moreno J, et al. Clinical predictors of functional outcome of bipolar patients in remission. Bipolar Disord. 2009;11(4):401–9.View ArticleGoogle Scholar
- Rosa AR, Sánchez-Moreno J, Martínez-Aran A, Salamero M, Torrent C, Reinares M, et al. Validity and reliability of the Functioning Assessment Short Test (FAST) in bipolar disorder. Clin Pract Epidemiol Ment Health CP EMH. 2007;3:5.View ArticleGoogle Scholar
- Shapouri-Moghaddam A, Mohammadian S, Vazini H, Taghadosi M, Esmaeili S-A, Mardani F, et al. Macrophage plasticity, polarization, and function in health and disease. J Cell Physiol. 2018;233(9):6425–40.View ArticleGoogle Scholar
- Snijders G, Schiweck C, Mesman E, Grosse L, De Wit H, Nolen WA, et al. A dynamic course of T cell defects in individuals at risk for mood disorders. Brain Behav Immun. 2016;58:11–7.View ArticleGoogle Scholar
- Solinas G, Schiarea S, Liguori M, Fabbri M, Pesce S, Zammataro L, et al. Tumor-conditioned macrophages secrete migration-stimulating factor: a new marker for M2-polarization, influencing tumor cell motility. J Immunol Baltim Md 1950. 2010;185(1):642–52.Google Scholar
- Steiner J, Bielau H, Brisch R, Danos P, Ullrich O, Mawrin C, et al. Immunological aspects in the neurobiology of suicide: elevated microglial density in schizophrenia and depression is associated with suicide. J Psychiatr Res. 2008;42(2):151–7.View ArticleGoogle Scholar
- Stertz L, Fries GR, Rosa AR, Kauer-Sant’anna M, Ferrari P, Paz AVC, et al. Damage-associated molecular patterns and immune activation in bipolar disorder. Acta Psychiatr Scand. 2015;132(3):211–7.View ArticleGoogle Scholar
- Wieck A, Grassi-Oliveira R, de Prado CH, Viola TW, Petersen LE, Porto B, et al. Toll-like receptor expression and function in type I bipolar disorder. Brain Behav Immun. 2016;54:110–21.View ArticleGoogle Scholar
- Wohleb ES, Hanke ML, Corona AW, Powell ND, Stiner LM, Bailey MT, et al. β-Adrenergic receptor antagonism prevents anxiety-like behavior and microglial reactivity induced by repeated social defeat. J Neurosci Off J Soc Neurosci. 2011;31(17):6277–88.View ArticleGoogle Scholar
- Xue J, Schmidt SV, Sander J, Draffehn A, Krebs W, Quester I, et al. Transcriptome-based network analysis reveals a spectrum model of human macrophage activation. Immunity. 2014;40(2):274–88.View ArticleGoogle Scholar
- Young RC, Biggs JT, Ziegler VE, Meyer DA. A rating scale for mania: reliability, validity and sensitivity. Br J Psychiatry J Ment Sci. 1978;133:429–35.View ArticleGoogle Scholar
- Zhang H-X, Xu Y-Q, Li Y-Y, Lu M-F, Shi S-X, Ji J-L, et al. Difference in proinflammatory cytokines produced by monocytes between patients with major depressive disorder and healthy controls. J Affect Disord. 2018;234:305–10.View ArticleGoogle Scholar