Original Article

Neuropsychopharmacology (2013) 38, 743–752; doi:10.1038/npp.2012.248; published online 9 January 2013

Connecting inflammation with glutamate agonism in suicidality

Sophie Erhardt1, Chai K Lim2, Klas R Linderholm1, Shorena Janelidze3, Daniel Lindqvist3, Martin Samuelsson4, Kristina Lundberg4, Teodor T Postolache5, Lil Träskman-Bendz3, Gilles J Guillemin2,6,8 and Lena Brundin3,7,8

  1. 1Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden
  2. 2Department of Pharmacology, School of Medical Sciences, University of New South Wales, NSW, Sydney, Australia
  3. 3Department of Clinical Sciences, Section of Psychiatry, Psychoimmunology Unit, Lund University, Lund, Sweden
  4. 4Faculty of Health Sciences, Department of Clinical and Experimental Medicine, Division of Psychiatry, Linköping University, Linköping, Sweden
  5. 5Mood and Anxiety Program, University of Maryland School of Medicine and the VA Capitol Healthcare Network (VISN 5) Mental Illness Research, Education and Clinical Center, Baltimore, MD, USA
  6. 6Australian School of Advanced Medicine (ASAM), Macquarie University, NSW, Australia
  7. 7Department of Translational Science and Molecular Medicine, Michigan State University, Van Andel Research Institute, Grand Rapids, MI, USA

Correspondence: Dr L Brundin, Department of Translational Science and Molecular Medicine, Michigan State University, Van Andel Research Institute, 333 Bostwick Avenue NE, Grand Rapids, MI 49503, USA, Tel: +616 234 0996, Fax: +616 234 0990, E-mail: Lena.Brundin@hc.msu.edu

8Shared senior authorship.

Received 22 August 2012; Revised 2 November 2012; Accepted 26 November 2012
Accepted article preview online 3 December 2012; Advance online publication 9 January 2013



The NMDA-receptor antagonist ketamine has proven efficient in reducing symptoms of suicidality, although the mechanisms explaining this effect have not been detailed in psychiatric patients. Recent evidence points towards a low-grade inflammation in brains of suicide victims. Inflammation leads to production of quinolinic acid (QUIN) and kynurenic acid (KYNA), an agonist and antagonist of the glutamatergic N-methyl-D-aspartate (NMDA) receptor, respectively. We here measured QUIN and KYNA in the cerebrospinal fluid (CSF) of 64 medication-free suicide attempters and 36 controls, using gas chromatography mass spectrometry and high-performance liquid chromatography. We assessed the patients clinically using the Suicide Intent Scale and the Montgomery–Asberg Depression Rating Scale (MADRS). We found that QUIN, but not KYNA, was significantly elevated in the CSF of suicide attempters (P<0.001). As predicted, the increase in QUIN was associated with higher levels of CSF interleukin-6. Moreover, QUIN levels correlated with the total scores on Suicide Intent Scale. There was a significant decrease of QUIN in patients who came for follow-up lumbar punctures within 6 months after the suicide attempt. In summary, we here present clinical evidence of increased QUIN in the CSF of suicide attempters. An increased QUIN/KYNA quotient speaks in favor of an overall NMDA-receptor stimulation. The correlation between QUIN and the Suicide Intent Scale indicates that changes in glutamatergic neurotransmission could be specifically linked to suicidality. Our findings have important implications for the detection and specific treatment of suicidal patients, and might explain the observed remedial effects of ketamine.


quinolinic acid; suicide; depression; glutamate; cytokine



Attempted suicide is associated with significant patient suffering, vast societal costs and an increased risk for completed suicide (Bruffaerts et al, 2011; Hawton and van Heeringen, 2009). Despite increased treatment of suicidal individuals over the past decade, the incidence rates of suicidal behavior have remained largely unaltered (Nock et al, 2008). Although many patients contact a physician shortly before the attempt, health care is frequently unable to prevent both attempted and completed suicides. Consequently, improved methods for detection of suicide risk and specific treatments for suicidal patients are both highly warranted (Da Cruz et al, 2011).

The neurobiology of suicidality is poorly understood. Biological factors that have previously been associated with suicidality include serotonin and its metabolite 5-hydroxyindoleacetic acid (5-HIAA) as well as growth factors, such as brain-derived neurotrophic factor (Sher, 2011). Certain studies have shown an association between low levels of CSF 5-HIAA and suicidal behavior independent of depression (Asberg and Traskman, 1981). Reduced serotonergic neurotransmission and suicidal behavior might thus be linked, but after more than 30 years of research, the association remains unspecific (Ernst et al, 2009).

Interestingly, production of serotonin might be compromised during states of inflammation due to a consumption of tryptophan, the substrate for serotonin production (Oxenkrug, 2010). Recent studies provide accumulating evidence that brain immune activation may be involved in the pathogenesis of suicidality. A post-mortem study shows brain microglia activation in suicide victims (Steiner et al, 2008), and the cytokine IL-6 is increased in the cerebrospinal fluid (CSF) of suicide attempters (Lindqvist et al, 2009). In addition, some studies indicate that inflammation is more pronounced in suicidal patients than in non-suicidal depressed patients (Janelidze et al, 2011; Steiner et al, 2008). In support of a causal relationship between inflammation and psychiatric symptoms, several studies show that immunotherapy with cytokines in patients induces depressive symptoms approximately 1 month after the beginning of the medication (Raison et al, 2009; Wichers et al, 2005). Several case reports also describe suicidal ideation in previously psychiatrically healthy individuals after treatment with interferon-β (Fragoso et al, 2010).

Inflammatory stimuli, such as central nervous system (CNS) infections, induce the kynurenine pathway of tryptophan degradation (Figure 1) and greatly increase CSF levels of kynurenine and its metabolites (Heyes et al, 1992). Pro-inflammatory cytokines, especially interferon−γ, are considered the major inducers of indoleamine-2,3-dioxygenase (IDO-1), one of the enzymes regulating the first step of the kynurenine pathway (Guillemin, 2012). Metabolism further along this pathway produces several neuroactive compounds, including quinolinic acid (QUIN) and kynurenic acid (KYNA), both of which affect glutamatergic neurotransmission. A potential pathogenetic mechanism underlying suicidal behavior could thus be via activation of the kynurenine pathway and through increased synthesis of QUIN and/or KYNA. Blood kynurenine levels were recently found to be elevated in suicide attempters, as compared not only with healthy controls but also with patients with depression who never attempted suicide (Sublette et al, 2011).

QUIN is an N-methyl-D-aspartate (NMDA)-receptor agonist, activating receptors containing the NR1+NR2A and the NR1+NR2B subunits (de Carvalho et al, 1996; Stone, 1993). By contrast, KYNA, besides blocking the cholinergic α7 nicotinic receptor, antagonizes the glycine site of the NMDA-receptor (Hilmas et al, 2001; Stone, 1993). Interestingly, the NMDA-receptor antagonist ketamine was recently shown to reduce suicidality in four small-scale clinical studies (DiazGranados et al, 2010b; Larkin and Beautrais, 2011; Price et al, 2009; Zarate et al, 2012). This finding may principally suggest enhanced NMDA-receptor signaling as part of the pathophysiology of suicidal behavior, although ketamine also has other effects in the central nervous system (Duman and Aghajanian, 2012).

We hypothesize that QUIN, and the QUIN/KYNA quotient, is elevated in suicide attempters due to a low-grade CNS inflammation. This might lead to excessive NMDA-receptor signaling, tentatively explaining the observed remedial effects of ketamine on suicidality. Here, CSF levels of QUIN and KYNA are measured in suicide attempters and healthy controls. Furthermore, we assess whether the QUIN levels are related to the depressive symptoms, and to suicidal intent using the Suicide Intent Scale (Beck, 1974). We also analyze whether QUIN and KYNA correlate with CSF levels of the cytokine IL-6, which we have previously reported elevated in the suicide attempters (Lindqvist et al, 2009). A subset of the patients returned to the clinic at a follow-up occasion within 6 months of the suicide attempt and provided a new CSF sample. This enables us to determine whether QUIN and KYNA levels change longitudinally in the same patients, at a time-point when the patients were not suicidal.



Participants, QUIN CSF study

We enrolled 64 patients (30 male and 34 female individuals), between 1988 and 2001, following admission to Lund University Hospital after a suicide attempt. Psychiatric diagnoses of the patients are displayed in Table 1. Mean age of the patients was 37 years (range 19–72). The patients underwent a washout period when they did not receive any antipsychotic or anti-depressive medication (14.6±9 days, mean±s.d.). Anxiolytic and hypnotic medications, as well as somatic medications, were allowed during the wash-out. All medications taken are specified in Supplementary Table 1. At the end of the washout, lumbar punctures and psychiatric evaluations were carried out as below (section 2.2). Thirty-six (29 male and 7 female individuals) healthy controls were recruited via the Psychiatric Clinics at the University Hospitals in Lund and Linkoping, Sweden, between 2003 and 2009. Mean age of the controls was 30 years (range 18–66). They did not suffer from any previous or ongoing psychiatric condition or substance abuse, and were somatically healthy. They were thoroughly checked for psychiatric morbidity using the Structured Clinical Interviews for DSM Disorders (SCID I and II). All controls were free of medication. Our study was carried out in accordance with ‘The code of ethics of the world medical association (Declaration of Helsinki)’ for experiments including humans: http://www.wma.net/e/policy/b3.htm. The Regional Ethical Review Boards in Lund, Linköping and Malmö approved the study. After complete description of the study to the subjects, written informed consent was obtained.

Physical examination and lumbar punctures

All patients and controls underwent a general physical examination. The BMI for patients and controls were 23.7±3.5 (mean±s.d.) and 24.2±3.9, respectively. In all, 31% of the patients used nicotine vs 19.4% of the controls. In order to identify subjects with potential infections at the time of the lumbar punctures, we analyzed blood samples for white blood cell count, erythrocyte sedimentation rate or C-reactive protein, and the subjects were checked for fever. No evidence of ongoing clinical infection was found, as defined by the normal reference intervals of these parameters. A complete medical history was taken. Somatic diagnoses of the patients are shown in Table 1. We performed lumbar punctures in the morning between 0800 and 0900hours, after a night of fasting and bed rest. CSF was collected from the L4–L5 interspace using a standardized protocol, and immediately stored at −80°C.

Psychiatric diagnostics and rating scales

Briefly after the suicide attempt, a psychiatrist diagnosed the patients according to the Diagnostic and Statistical Manual of Mental Disorders (DSM)-IIIR Axis I and II Disorders (American Psychiatric Association, 1987). The diagnoses were set after a ~2-hour long structured interview using the Comprehensive Psychiatric Rating Scale and the Structured Clinical Interview for DSM Disorders (SCID I and II). The patients were also evaluated by means of the Suicide Intent Scale, measuring the determination to commit suicide (Beck, 1974). The scale is subdivided in two parts, dealing with objective (active preparation) and subjective circumstances related to the attempt. Some, but not all studies also find an association between high scores on the scale and future completed suicide (Freedenthal, 2008; Stefansson et al, 2012). In all, 53 out of 64 patients completed the Suicide Intent Scale. Moreover, we evaluated depressive symptoms using the Montgomery–Asberg Depression Rating Scale (MADRS), which is a 10-item scale with a maximum score of 60 (Montgomery and Asberg, 1979). In all, 60 out of 64 patients completed the MADRS rating.

Definition of suicide attempts

A suicide attempt was defined as ‘situations in which a person has performed an actually or seemingly life-threatening behavior with the intent of jeopardizing his/her life or to give the appearance of such intent, but which has not resulted in death’ (Beck et al, 1973). The intent to commit suicide was explicit upon interview. Patients who did not state a clear intent were not enrolled. Suicide attempts were classified into violent and nonviolent acts as defined (Traskman et al, 1981). Drug overdoses by ingestion, single wrist-cuts or a combination are considered nonviolent suicide attempts, whereas all other methods (for example, hanging, drowning, gas poisoning, several deep cuts) are classified as violent.

Participants, follow-up study

A subset of the patients that were originally enrolled in the study at the suicide attempt participated in a follow-up study. The patients returned to the clinic and contributed with CSF samples at repeated occasions after the suicide attempt. Paired samples from eight patients, three male and five female individuals, were available from the index (the suicide attempts) and a time-point within 6 months after the attempt. Mean age of these patients was 38 years, range 22–51 years. Five of the patients received antidepressant medication at the follow-up occasion and one patient received disulfiram.

Biological assays

Analysis of QUIN

QUIN was analyzed by gas chromatography mass spectrometry as previously described (Smythe et al, 2002). The internal standard, [2H3]QUIN (99%) was purchased from Le Research Inc. (St Paul, MN, USA). Trifluoroacetic anhydride and 1,1,1,3,3,3-hexafluoro-2-propanol of GC derivatization grade, QUIN and other organic solvents of analytical-grade were all obtained from Sigma-Aldrich (St Louis, MO, USA). We injected 1μl of sample into an Agilent 6890 gas chromatograph, interfaced to an Agilent 5973 mass selective detector via an auto-sampler Agilent Technologies 7683 operating in negative ionization mode, and controlled using Agilent ChemStation software (Agilent, Santa Clara, CA, USA). Inter- and intra-assay precision is consistently 5–8%.

Analysis of KYNA

KYNA was analyzed as previously described (Olsson et al, 2010) utilizing an isocratic reversed-phase high-performance liquid chromatography system, including a dual piston, high liquid delivery pump (Bischoff, Leonberg, Germany), a ReproSil-Pur C18 column (silica pore size, 3μm (4 × 100mm, Dr Maisch GmbH, Ammerbuch, Germany) and a fluorescence detector (Jasco Ltd, Hachioji City, Japan) with an excitation wavelength of 344nm and an emission wavelength of 398nm (18nm bandwidth). A mobile phase of 50mM sodium acetate (pH 6.2, adjusted with acetic acid) and 7.0% acetonitrile was pumped through the reversed-phase column at a flow rate of 0.5ml/min. 50μl samples were manually injected (ECOM, Prague, Czech Republic). 0.5M zinc acetate (not pH adjusted) was delivered post-column by a peristaltic pump (P-500, Pharmacia, Uppsala, Sweden) at a flow rate of 0.10ml/min. The signals from the fluorescence detector were transferred to a computer for analysis with Datalys Azur (Grenoble, France). Retention time of KYNA was 7–8min. Standard concentrations were used to relate the height of the peaks in the chromatogram to the correct concentration of KYNA in the samples. Inter- and intra-assay precision is consistently 3–8%. For KYNA analysis, CSF was available from 60 patients and 37 controls.

Analysis of IL-6

We analyzed IL-6 in CSF using high-sensitivity electrochemiluminescence (MesoScale Discovery, Gaithersburg, Maryland, USA) as per the manufacturer’s protocol. CSF samples were analyzed in duplicates on a SECTOR 6000 instrument (www.mesoscale.com). The detection limit was 0.1pg/ml. The absolute IL-6 measures have been published elsewhere (Lindqvist et al, 2009). Here, the correlation with QUIN was analyzed. For the correlation analyses, IL-6 measures from 63 patients and 24 controls were available.

Statistical analysis and potential confounders

The Statistical Package for the Social Sciences (SPSS) program version 18.00 for Windows was used (IBM Corporation, New York, NY, USA). CSF levels of IL-6 and QUIN displayed skewness >2, and the values were transformed into normal distribution using the natural logarithms for statistical analysis. The potential impacts of age, gender, weight, BMI, smoking and length of wash-out period on QUIN and KYNA levels were investigated with Student’s t-tests and Pearson correlations. To correct for age, linear regression models were used with QUIN as dependent variable and age as independent variable. Student’s t-tests were used for comparisons of KYNA and age-corrected QUIN between independent groups. As KYNA and QUIN have opposing effects on the NMDA receptor, the ratio between CSF QUIN (age-corrected) and CSF KYNA (CSF QUIN/CSF KYNA) was calculated and the ratio was compared between suicide attempters and controls with Student’s t-tests. In addition, linear regression analyses were conducted to determine the effect of sample storage time: QUIN or KYNA were entered as dependent variable, whereas group (patients vs controls), age and sample storage time as independent variables. Age-corrected QUIN was compared between healthy controls, suicide attempters with a diagnosis of a primary mood disorder (major depressive disorder and depression NOS) and suicide attempters with other diagnoses using one-way ANOVA followed by Bonferroni–Dunn’s post-hoc test. Age-corrected QUIN was also compared between the control group and five main diagnostic groups (Major Depressive Disorder, Dysthymia, Adjustment Disorder, Substance Abuse, Depression NOS) using one-way ANOVA. Finally, the impact of personality disorder, type of suicide attempt and wash-out on age-corrected QUIN were determined using one-way ANOVAs. Spearman’s ρ was used for correlation analysis of age-corrected QUIN and scores on the Suicide Intent Scale, as well as MADRS. Paired t-tests were used for QUIN, KYNA and MADRS measures within the same individuals in the follow-up study. α-level of significance was set at P=0.05.



CSF Levels of QUIN and KYNA

We found that CSF QUIN was significantly higher in suicide attempters (41.9±4nM; mean±s.e.m.; n=64) than in healthy controls (18.2±0.8nM; n=36) (Student’s t-test, t=−5.39, df=93.88, P<0.001) (Figure 2a). In contrast, there was no significant difference in the levels of CSF KYNA between suicide attempters and healthy controls (Student’s t-test, t=0.429, df=93.70, P=0.67) (Figure 2b). The concentrations of the respective metabolites are shown in Table 2.

Figure 2.
Figure 2 - Unfortunately we are unable to provide accessible alternative text for this. If you require assistance to access this image, please contact help@nature.com or the author

Quinolinic acid and kynurenic acid in cerebrospinal fluid of suicide attempters and healthy controls. (a) Cerebrospinal fluid quinolinic acid. (b) Cerebrospinal fluid kynurenic acid. (c) The quinolinic acid/kynurenic acid quotient. (d) Cerebrospinal fluid quinolinic acid in violent and nonviolent suicide attempters. (e) Cerebrospinal fluid quinolinic acid in suicide attempters with primary mood disorder (Major Depressive Disorder and Depression NOS), with other diagnoses and in controls. (f) Cerebrospinal fluid quinolinic acid in suicide attempters in the follow-up study. The lines connect measures of cerebrospinal fluid quinolinic acid from the same patients, between the suicide attempt and at 6 months after the attempt. The mean values+s.e.m. are shown for patients and controls, respectively, in figures (a–e) *Pless than or equal to0.05; **Pless than or equal to0.01; ***Pless than or equal to0.001.

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As KYNA and QUIN have opposing effects on the NMDA receptor, we investigated the CSF QUIN/CSF KYNA ratio. We found that this ratio was significantly larger in the suicidal patients than in the healthy controls (Student’s t-test, t=−3.72, df=74.41, P<0.001) (Figure 2c). There was also a significant positive correlation between the cytokine IL-6 in CSF and QUIN (n=87, Pearson’s R=0.23, P=0.033) (Figure 3a).

Figure 3.
Figure 3 - Unfortunately we are unable to provide accessible alternative text for this. If you require assistance to access this image, please contact help@nature.com or the author

Associations of quinolinic acid with IL-6, age, sample storage time and suicidality; and kynurenic acid with age. Associations between ln-quinolinic acid and (a) ln-IL-6 (n=87, Pearson’s R=0.23, P=0.033), data from patients and controls; (b) age (n=100, Pearson’s R=0.21, P<0.0038) data from patients and controls; (d) sample storage time (linear regression model, β=−0.41, P=0.075); (e) total scores on the Suicide Intent Scale (SIS) (n=53, Spearman ρ=0.30, P=0.028), data from patients only; and (f) scores on the subscale on the SIS rating objective circumstances of the suicide attempt (n=53, Spearman ρ=0.34, P=0.012), data from patients only. (c) Association between kynurenic acid and age (n=97, Pearson’s R=0.043, P=0.68).

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Demographics and potential confounders

We investigated the potential impact of age, gender, weight, BMI, smoking, storage-time and length of wash-out period on QUIN and KYNA levels. QUIN showed a slight but significant increase with age of the subjects (n=100, Pearson’s R=0.21, P=0.038) (Figure 3b). We therefore used age-corrected variables for all statistical analyses except the within-subject analysis in the follow-up study (section 3.4). Age of the subjects did not correlate with KYNA (n=97, Pearson’s R=0.043, P=0.68) (Figure 3c). There was no impact of gender, smoking, weight, BMI or wash-out length on QUIN nor KYNA (t-tests and Pearson correlations, P>0.1 for all variables).

As the patient samples had been stored for a long time in our biobank, we also conducted a linear regression analyses to see if storage time had affected the levels of QUIN and KYNA. The model was still highly significant; β=0.81, P=0.001 for suicidality (patients vs controls). There was a trend for a storage dependent decline of CSF QUIN; β=−0.41, P=0.075 for storage-time (Figure 3d). Thus, the QUIN levels in the samples from the suicide attempters in the biobank were potentially even higher initially. There was no effect of storage-time on CSF-KYNA (linear regression, P>0.1).

Both patients who were unmedicated at the suicide attempt (n=6) and those who went through the wash-out (n=58) had significantly elevated QUIN levels compared with the controls (one-way ANOVA (F(2,97)=11.15, P<0.001; followed by Bonferroni–Dunn’s post-hoc tests, P=0.003 for unmedicated vs controls; P<0.001 for washed-out vs controls; NS for washed-out vs unmedicated) (Table 2).

QUIN, suicidality and depressive symptoms

The mean score on the SIS was 18.3±0.8 (±s.e.m.). We found that QUIN measures in CSF correlated positively with the total score on the Suicide Intent Scale (n=53, Spearman ρ=0.30, P=0.028) (Figure 3e). The most robust correlation was between QUIN and the subscale concerning objective circumstances in conjunction with the suicide attempt (n=53, Spearman ρ=0.34, P=0.012) (Figure 3f). The definition of the objective circumstances can be found in section 2.3.

CSF samples from suicide attempters were furthermore divided with regards to the use of violent (n=16) or nonviolent (n=48) methods for the attempts, as defined in the ‘Materials and Methods’ section. QUIN levels differed significantly between control subject, violent suicide attempters and nonviolent suicide attempters (one-way ANOVA (F(2,97)=13.16, P<0.001). There was a trend for higher levels of CSF QUIN in patients who had made violent suicide attempts than the patients who had made nonviolent suicide attempts (Bonferroni–Dunn’s post-hoc test, P=0.059) (Figure 2d and Table 2). Both violent and nonviolent attempter groups showed higher QUIN compared with the control group (Bonferroni–Dunn’s post-hoc test, P<0.001 for violent attempters vs controls and P=0.002 for nonviolent attempters vs controls).

The mean score on the MADRS was 16.3±1.4 (±s.e.m.). We found no significant correlation between QUIN and the MADRS scores (n=60, Spearman ρ=0.006, P=0.97). There was no correlation between QUIN and MADRS suicidality item (n=60, Spearman ρ=0.072, P=0.59).

QUIN in diagnostic subgroups

We compared the QUIN levels in suicide attempters with a diagnosis of a primary mood disorder (Major Depressive Disorder and Depression NOS) (n=31) with suicide attempters with other diagnoses (n=33) and controls. A one-way ANOVA showed significant differences between the groups (F(2,97)=9.81, P<0.001). Post-hoc testing showed that there was no significant difference in mean QUIN levels between suicide attempters with and without a mood disorder (NS), whereas both groups differed significantly vs the healthy controls (P=0.001 for primary mood disorder vs controls; P<0.001 other diagnoses vs controls; Bonferroni–Dunn’s post-hoc tests) (Figure 2e and Table 2).

We also found significant differences in QUIN levels when comparing control group and the five main diagnostic groups of suicide attempters including Major Depressive Disorder, n=22; Adjustment Disorder, n=11; Depression NOS, n=9; Substance Abuse, n=6 and Dysthymia, n=4 (one-way ANOVA, (F(5,82)=4.64, P=0.001). Post-hoc testing showed that QUIN levels were not different between the five main diagnostic groups (Bonferroni–Dunn’s post-hoc test, p>0.1 for all comparisons).

QUIN levels did not differ between suicide attempters with (n=38) and without (n=22) personality disorder, but was higher in both groups compared with controls (one-way ANOVA (F(2,93)=11.42, P<0.001; followed by Bonferroni–Dunn’s post-hoc test, P>0.1 for personality disorder vs no personality disorder; P<0.001 for personality disorder vs controls and P<0.001 for no personality disorder vs controls) (Table 2).

QUIN levels 6 months after the suicide attempt (follow-up)

The CSF QUIN levels decreased significantly from the time of the suicide attempt to the follow-up occasion, from 41.6±12.4nM to 16.2±4.5nM (mean±s.e.m.) (paired samples t-test, t=2.39, df=7, P<0.05) (Figure 2f). Thus, CSF QUIN in the patients at follow-up had normalized to that of controls. There was no significant change in CSF KYNA, which decreased from 1.3±0.3nM to 1.2±0.3nM (mean±s.e.m.) (paired samples t-test, t=0.37, df=7, P=0.72). There was a trend for a decrease in MADRS scores, from 16.8±2.0 (mean±s.e.m.) at the suicide attempt to 10.0±4.3 (mean±s.e.m.) at the follow-up occasion, in these eight patients (paired samples t-test, t=2.0, df=7, P=0.09).



We found significantly increased levels of the NMDA-receptor agonist QUIN in the CSF of suicide attempters. In line with previous studies showing that inflammation can trigger generation of QUIN (Achim et al, 1993; Heyes et al, 1995), there was a significant correlation between CSF levels of QUIN and the pro-inflammatory cytokine IL-6. In contrast, levels of the NMDA-receptor antagonist KYNA were not elevated. This suggests that an overall agonistic effect on the NMDA-receptors is present in suicide attempters. Moreover, this finding provides a neurobiological rationale for the recent reports describing that ketamine, by blocking NMDA-receptor transmission, can alleviate symptoms of suicidality (DiazGranados et al, 2010b; Larkin and Beautrais, 2011; Price et al, 2009; Zarate et al, 2012). In our patients, the raised QUIN levels were also significantly associated with the degree of suicidal intent, further strengthening the association between QUIN and suicidality.

KYNA, which is mainly synthesized in astrocytes, blocks NMDA receptors and has neuroprotective and anticonvulsive properties (Erhardt et al, 2009; Schwarcz et al, 2012). In contrast, QUIN, which is produced by activated microglia, is a potent excitotoxin with neurotoxic, gliotoxic and pro-inflammatory properties (Guillemin, 2012; Schwarcz et al, 2012). Increased levels of QUIN might therefore potentially contribute to the neuronal loss and to the reduced hippocampal volume observed in patients with major depression (Bremner et al, 2000; McKinnon et al, 2009). Moreover, increased extracellular levels of QUIN, as reflected by increased CSF concentrations in suicide attempters, are likely to facilitate glutamate neurotransmission prior to causing apoptosis. In addition to being a direct NMDA receptor agonist, QUIN increases neuronal glutamate release as well as decreases glutamate uptake and recycling by astrocytes (Guillemin, 2012). Effects on the glutamate system have been suggested to contribute to the pathogenesis in patients with severe mood disorders (Hashimoto, 2009; Sanacora et al, 2008; Schwarcz et al, 2012). There has been no evidence of increased CSF QUIN in patients with primary depressive disorders or suicidality until now. In line with our findings, Steiner et al, (2011) recently observed increased QUIN-immunoreactivity in microglia in the anterior cingulate gyrus post-mortem of suicide victims that suffered from severe depression. Interestingly, the increase in CSF QUIN observed in our current study was not related to the severity of depressive symptoms. In agreement with this, QUIN levels were increased in all suicide attempters, regardless if they had a diagnosis of a mood disorder or not. Therefore, our study may suggest that elevated QUIN is specifically linked to suicidality rather than to the severity of depression. However, no non-suicide attempters with depressive symptoms were included in our study. Therefore, inflammation and subsequent stimulation of glutamate neurotransmission could potentially be prevalent in so-called treatment-resistant or severe depression; diagnostic groups where suicides, attempts and suicidal ideation all are common (Brent et al, 2009; Price et al, 2009; Steiner et al, 2011). There are several studies showing an effect of ketamine on patients with treatment-resistant depression, where suicidality has not specifically been an outcome measure (Diazgranados et al, 2010a; Ibrahim et al, 2012; Murrough et al, 2012). Further studies evaluating CSF QUIN in diagnostic subgroups should be undertaken in order to develop tailor-made treatments in the future.

It should be pointed out that we did not study any causal relation between biological factors and symptoms. This study analyzes associations and significant changes in primary psychiatric patients and controls. Important studies showing a causal relation between inflammatory factors and depressive symptoms have previously been performed in patients with hepatitis C, and demonstrated that peripheral injection with interferon-α increased CSF levels of QUIN, KYNA and pro-inflammatory cytokines along with depressive symptoms (Raison et al, 2010; Raison et al, 2009).

In addition to the elevation in QUIN at the suicide attempt, we here also found a decrease of CSF QUIN in the eight patients who returned for a follow-up lumbar puncture within 6 months of the attempt. At this time-point, there was also a trend towards decreased depressive symptoms. However, the follow-up study sample was small, and the patients had initiated different types of medications. It is thus not possible to draw any conclusions about what caused the decrease in QUIN at the follow-up occasion, or whether this was related to a decrease in depressive symptoms and/or suicidality. Analysis of long-term variation of symptoms and biological factors in large numbers of psychiatric patients is highly warranted in the future.

Our study supports the hypothesis that a low-grade CNS inflammation induces production of QUIN, which has effects on glutamate neurotransmission and might lead to symptoms of suicidality. The positive correlation between the cytokine IL-6 and QUIN in suicide attempters is in line with findings in patients suffering from CNS infections, where both CSF IL-6 and QUIN are elevated (Heyes et al, 1995). Studies showing immunohistochemical evidence of microgliosis and an increased density of QUIN-immunoreactive microglial cells in suicide victims further support that brain inflammation, increased QUIN levels and suicide are linked (Steiner et al, 2008; Steiner et al, 2011). As an additional mechanism, reduced activity of the enzyme downstream of QUIN production, quinolinate phosphoribosyl-transferase, could potentially lead to an accumulation of QUIN. The enzyme degrades QUIN into nicotinic acid ribonucleotide and causes subsequent NAD+ formation (Figure 1). It is also possible that peripheral inflammation may contribute to the synthesis of brain QUIN and KYNA. Plasma levels of kynurenine (precursor of QUIN and KYNA) are elevated in patients with major depressive disorder and a history of suicide attempts (Sublette et al, 2011). Kynurenine can pass the blood brain barrier and subsequently be metabolized into QUIN and KYNA by microglia and astrocytes. However, QUIN and KYNA themselves do not pass the blood-brain barrier and therefore CSF samples are needed to study the levels of these neuroactive metabolites in the CNS compartment (Schwarcz et al, 2012). An intriguing question is why QUIN is accumulating in excess over KYNA in suicide attempters, as both metabolites are generated in states of inflammation. In this respect, the regulation of enzymes in the kynurenine pathway deserves further investigation and could potentially depend on genetic variants (Claes et al, 2011). An imbalance in the activity of enzymes along the kynurenine pathway might explain why QUIN accumulates, or is produced in preference over KYNA in suicidal patients.

Considering that inflammation and dysregulation of glutamate neurotransmission might contribute to the pathophysiology of suicidal behavior, we propose that novel treatments of suicidality should be directed against these systems. Clinical trials using cyclo-oxygenase-2 inhibitors as add-on therapy in patients with treatment-resistant depression are promising (Akhondzadeh et al, 2009; Muller et al, 2006). Novel therapeutic strategies include inhibition of the enzyme IDO-1 or microglial activation (in order to reduce synthesis of QUIN), specific cytokine blockers or direct blockade of the NMDA-receptor (Haroon et al, 2012). These treatments could be tested in future trials enrolling patients based on suicidality. As mentioned above, the NMDA receptor antagonist ketamine was effective in initial trials treating suicidal symptoms. Moreover, the primary trigger of the elevated immune parameters in suicidality is currently unknown and once unraveled, it might constitute another drug target. In this context, it is of importance to keep in mind that suicidality is likely to be a complex phenomenon, not depending on a single cause. So-called distal risk factors include genetic loading, trait impulsivity and early traumatic life events, whereas proximal risk factors include psychological crisis or acute stress (Mann and Currier 2010); Gradus et al, 2010; Hawton and van Heerningen, 2009). It has been demonstrated that pro-inflammatory cytokines IL-6 and IL-1β increase after acute stress (Steptoe et al, 2007). Psychological factors could thus potentially trigger a cascade of reactions ultimately leading to increased QUIN production. Another factor that recently has been associated with suicidality is the neurotrophic parasite T. gondii (Pedersen et al, 2012; Zhang et al, 2012). The parasite has been suggested to increase dopamine production as well as induce low-grade inflammation. These examples show that in order to achieve optimal symptom relief for suicidal patients, it would most likely be vital to identify and treat triggers of inflammation, as well as acute symptoms.

In summary, this is to our knowledge the first report of elevated QUIN, an endogenous NMDA agonist of microglial origin, in the CSF of suicide attempters. CSF QUIN was associated with the degree of suicidal intent and when a subgroup of patients came back for a follow-up visit, CSF QUIN levels had returned to normal. These findings suggest that increased CSF QUIN is specifically related to the pathophysiology of suicidality. As QUIN is an NMDA receptor agonist, our findings may provide a scientific rationale for the reduced suicidal ideation by the NMDA-receptor antagonist ketamine. Given that suicidal behavior is a major public health problem worldwide, with a poorly understood pathophysiology, our findings may lead to the development of novel tools to diagnose, follow and treat this source of morbidity and mortality across diagnostic boundaries.


Conflict of interest

The authors declare that, except for income received from the primary employers, no financial support or compensation has been received from any individual or corporate entity over the past three years for research or professional service; and there are no personal financial holdings that could be perceived as constituting a potential conflict of interest. None of the funding organizations listed above had any role in the design or conduct of the study, the data analysis, in the preparation of the manuscript or in the decision to submit the work for publication.



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This study was supported by the Swedish Research Council Grants No. 2009-4284 and 2011-4787 (Lena Brundin), 2002-5297 and 2008-2922 (Lil Träskman-Bendz), and 2009-7052 and 2011-4795 (Sophie Erhardt), the Province of Scania clinical state grants (ALF, for Lena Brundin and Lil Träskman-Bendz), the American Foundation for Suicide Prevention 2-DIG-00030-0608-1208 (Teodor Postolache), the Rebecca Cooper Foundation (Gilles Guillemin) and the National Health Medical Research Council in Australia (NHMRC) (Gilles Guillemin).

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