Serum kynurenic acid is reduced in affective psychosis.

A subgroup of individuals with mood and psychotic disorders shows evidence of inflammation that leads to activation of the kynurenine pathway and the increased production of neuroactive kynurenine metabolites. Depression is hypothesized to be causally associated with an imbalance in the kynurenine pathway, with an increased metabolism down the 3-hydroxykynurenine (3HK) branch of the pathway leading to increased levels of the neurotoxic metabolite, quinolinic acid (QA), which is a putative N-methyl-d-aspartate (NMDA) receptor agonist. In contrast, schizophrenia and psychosis are hypothesized to arise from increased metabolism of the NMDA receptor antagonist, kynurenic acid (KynA), leading to hypofunction of GABAergic interneurons, the disinhibition of pyramidal neurons and striatal hyperdopaminergia. Here we present results that challenge the model of excess KynA production in affective psychosis. After rigorous control of potential confounders and multiple testing we find significant reductions in serum KynA and/or KynA/QA in acutely ill inpatients with major depressive disorder (N=35), bipolar disorder (N=53) and schizoaffective disorder (N=40) versus healthy controls (N=92). No significant difference was found between acutely ill inpatients with schizophrenia (n=21) and healthy controls. Further, a post hoc comparison of patients divided into the categories of non-psychotic affective disorder, affective psychosis and psychotic disorder (non-affective) showed that the greatest decrease in KynA was in the affective psychosis group relative to the other diagnostic groups. Our results are consistent with reports of elevations in proinflammatory cytokines in psychosis, and preclinical work showing that inflammation upregulates the enzyme, kynurenine mono-oxygenase (KMO), which converts kynurenine into 3-hydroxykynurenine and quinolinic acid.

Introduction

Elevations in circulating levels of proinflammatory mediators, a phenomenon usually associated with ‘systemic low-grade inflammation’ is observed across several psychiatric disorders including major depressive disorder (MDD),[1, 2, 3] bipolar disorder (BD), schizophrenia and other psychotic disorders.[4, 5, 6, 7, 8, 9] While this inflammatory profile can arise secondary to comorbid medical conditions, infections, stress, obesity or lifestyle factors, there is evidence that at least in some individuals, inflammation could be a causal mechanism underlying depression or psychosis. Notably, prospective studies have shown a positive association between circulating levels of C-reactive protein (CRP) or interleukin 6 (IL-6) concentrations at baseline and the development of de novo cases of MDD,[10, 11] BD[12] and psychosis.[11] Furthermore, immunotherapy of hepatitis C or melanoma with interferon alpha or IL-2 induces a depressive episode in about 30–40% of patients.[13, 14, 15, 16]

The biological mechanisms by which inflammatory mediators cause depression and psychotic illness are only partially understood. Cytokines and other inflammatory molecules affect serotonergic, dopaminergic and glutamatergic neurotransmission.[17, 18] At the circuit level, these alterations in neurotransmission can alter the function of the visceromotor network including the ventromedial prefrontal cortex (PFC), insula and hippocampus[19, 20, 21] and additionally may induce hypoactivity of a ‘reward network’ centered on the ventral striatum.[22, 23, 24] Activation of a key immunoregulatory network, the kynurenine pathway also could be crucial. Two landmark papers showed that lipopolysaccharide (LPS) does not cause depression-like behavior in rodents when the activation of the kynurenine pathway is genetically or pharmacologically blocked even when the levels of proinflammatory cytokines remain elevated.[25, 26] Interferon gamma (IFNγ) and to a lesser extent other cytokines such as tumor necrosis factor alpha (TNF) activate the kynurenine pathway by increasing expression of the enzyme, indoleamine-2,3-dioxygenase (IDO) that converts tryptophan to kynurenine. Originally it was hypothesized that activation of the kynurenine pathway led to depression by depleting tryptophan and serotonin in the brain.[27, 28, 29] However, LPS causes an increase in tryptophan and serotonin turnover in the brains of rodents,[30] and the depressive effects of LPS can be blocked with the IDO inhibitor, 1-methyl-tryptophan, without affecting brain tryptophan and serotonin turnover.[25]

Myint and Kim proposed that it is the balance between neurotoxic and neuroprotective metabolites rather than the reduction in tryptophan that is central to the pathogenesis of depressive illness.[31] This hypothesis has been supported by subsequent empirical studies.[32, 33, 34, 35, 36] Kynurenine is metabolized along two mutually exclusive pathways to form either kynurenic acid (KynA) or alternatively, 3-hydroxykynurenine (3HK), 3-hydroxyanthrallic acid (3-HAA) and quinolinic acid (QA)[37, 38, 39] (Supplementary Figure S1). Under physiological conditions approximately equal amounts of 3HK and KynA are produced from kynurenine.[40] However, under inflammatory conditions, the production of 3HK and its metabolites are favored.[32, 35, 41, 42] The metabolites in the ‘QA-pathway’, especially 3HK and QA are often described as ‘neurotoxic’ and ‘gliotoxic’. For instance, 3HK is capable of inducing oxidative stress, mitochondrial stress and cell death,[43] while QA, which is produced by microglia and macrophages exerts neurotoxic effects through multiple different mechanisms, including activation of the N-methyl-d-aspartate (NMDA) receptor.[44, 45] In contrast, KynA is thought to be an astrocyte-derived metabolite that among other roles, acts as an endogenous competitive antagonist of ionotropic excitatory amino-acid receptors including the NMDA receptor, and also acts as an antagonist of α7 nicotinic receptors.[39, 44]

In line with the original model by Myint and Kim,[31] we and others have reported increases in neurotoxic metabolites and/or decreases in KynA in the blood[36, 46, 47] and cerebrospinal fluid (CSF)[48, 49] of MDD patients. However, the data are less consistent in the case of BD,[50, 51, 52, 53, 54] and in schizophrenia, there is evidence for an increase in KynA levels in the blood,[55] postmortem brain[56] and the CSF.[57, 58, 59]

However, it is still unclear why a difference in the pattern of kynurenine pathway metabolism should exist between depression and psychosis/schizophrenia when inflammation appears common to both disorders. In the case of depression, excess production of 3HK and QA is thought to exert toxic effects via numerous mechanisms including free radical formation, impairment of mitochondrial function, induction of DNA damage, potentiation of neuronal glutamate release, inhibition of the astrocytic reuptake of glutamate, disruption of the blood–brain barrier and destabilization of the cellular cytoskeleton.[43, 45] On the other hand, one mechanism underlying schizophrenia and psychosis more generally, is thought to involve an increased capacity for dopamine synthesis and presynaptic dopamine release, leading to an excess of striatal dopaminergic neurotransmission together with cortical hypodopaminergia.[60, 61] Subsequently, this model was elaborated to account for the psychotomimetic effects of non-competitive NMDA receptor antagonists like phencyclidine (PCP) and ketamine, leading to the hypothesis that psychosis and/or schizophrenia is underpinned by NMDA receptor hypofunction acting on GABAergic interneurons and leading to the disinhibition of pyramidal neurons (including projections onto midbrain dopamine neurons), downstream excitotoxicity and striatal hyperdopaminergia.[62, 63] In an elegant series of animal studies, Schwarcz, Erhardt and colleagues have demonstrated that similar to NMDA receptor antagonists such as phencyclidine and ketamine, increases in the endogenous NMDA antagonist, KynA, produces cognitive abnormalities that theoretically model clinical aspects of schizophrenia.[64, 65, 66]

In summary, although inflammatory processes are common to depression, affective psychosis and schizophrenia, the prevailing model of how activation of the kynurenine pathway contributes to these disorders is very different. Depression is believed to arise from the excess production of neurotoxic QA-pathway metabolites together with a reduction in KynA,[32, 36, 37, 46] while in contrast, psychosis and schizophrenia are thought to be driven by increases in KynA.[39, 54, 67] This ‘double dissociation’ is very interesting in light of the continued debate about the veracity of current diagnostic categories and the present trend towards the study of cross-disorder phenotypes (for example, Research Domain Criteria program).[68]

The central question that we address in this study is: where do patients with affective psychosis (that is, MDD with psychosis, BD with psychosis and schizoaffective disorder) fall on the kynurenine-pathway spectrum, that is, closer to MDD (without psychosis) or closer to schizophrenia? This is an important question because the existence of a reversed KynA/QA ratio in patients with affective psychosis versus patients with schizophrenia would not only have implications for understanding pathophysiology, but could potentially have utility as a non-invasive diagnostic, prognostic and treatment biomarker.

Materials and methods

Participants

The study was approved by the Western Institutional Review Board. All subjects were deemed capable of providing informed consent by the treating psychiatrist, and provided written consent prior to participation in the research.

Subjects were recruited from the adult acute inpatient unit at the Laureate Psychiatric Clinic & Hospital, in Tulsa, OK, and received a state-of-the-art psychiatric evaluation and DSM-IV diagnosis from a board-certified psychiatrist. Where possible, symptom severity was measured with the Hamilton Depression Scale (Ham-D), Young Mania Rating Scale (YMRS), Brief Psychiatric Rating Scale Expanded Version 4.0 (BPRS) and CORE Assessment of Psychomotor Change. In some cases (Table 1) the assessments could not be completed because the patients were too ill. Potential participants were excluded if their hospital admission was caused by substance abuse/dependence or if a comorbid medical illness was suspected to induce the mood or psychotic symptoms. Comorbid medical conditions by themselves were not considered exclusionary since their frequency is significantly elevated in severely-ill psychiatric populations.[69, 70] No kynurenine data from these subjects have been previously published.

Table 1

Clinical ratings and kynurenine metabolite differences across the DSM-IV diagnostic groups

	MDD	BD	SzA	SZ	HC	Statistic	Significant pairwise comparisons
N	35	53	40	21	92
% F	54	70	40	19	64	χ2=22, P<0.001
Age	38.8±13.8	40.2±11.0	39.0±13.0	38.9±12.9	32.3±10.4	F4, 236=5.11, P=0.001	BD>HC, SzA>HC
BMI (kg/m2)	30±9	30±8	30±9	28±6	27±6	F4, 236=1.95, P=0.103
BPRS	55±9 (N=33)	58±14 (N=38)	66±17 (N=28)	63±16 (N=13)	—	F3, 108=3.35, P=0.022	MDD<SzA
CORE	5±6 (N=33)	5±6 (N=36)	10±8 (N=27)	9±8 (N=13)	—	F3, 105=4.09, P=0.009	BD<SzA, MDD<SzA
HAM-D	35±6 (N=33)	28±9 (N=39)	27±8 (N=28)	26±10 (N=12)	1±2 (N=81)	F4, 188=294, P<0.001	All>HC, MDD>BD, MDD>SzA, MDD>SZ
YMRS	6±5 (N=33)	15±8 (N=33)	13±9 (N=27)	16±8 (N=12)	0±0 (N=71)	F4, 177=58, P<0.001	All>HC, MDD<BD, MDD<SZ, MDD<SzA
CRP (mg l−1)	5.9±5.7	5.9±9.8	6.7±18.4	4.1±4.1	3.1±4.4 (N=78)	F4, 219=2.24, P=0.066
TRP (μm)	60.6±14.2	56.2±14.3	57.6±16.0	60.6±11.3	62.8±16.7	F4, 232=2.11, P=0.080
Kyn (nm)	1.94±0.52	1.78±0.50	1.84±0.51	1.89±0.52	1.94±0.47	F4, 232=2.58, P=0.038
KynA (nm)	33.3±11.0	31.5±13.1	31.9±15.9	36.3±15.5	40.6±16.1	F4, 232=7.17, P<0.001a	BD<HC, SzA<HC
3HK (nm)	30.1±10.7	28.1±9.4	30.8±12.1	28.5±11.1	32.7±13.8	F4, 232=3.09, P=0.017
QA (nm)	351±134	347±134	342±137	360±171	346±115	F4, 232=0.46, P=0.769
Kyn/TRP	0.033±0.009	0.033±0.011	0.033±0.010	0.032±0.010	0.032±0.008	F4, 232=0.21, P=0.934
KynA/3HK	1.17±0.42	1.16±0.45	1.08±0.43	1.30±0.43	1.31±0.43	F4, 232=3.70, P=0.006a	SzA<HC
KynA/QA	0.103±0.046	0.095±0.035	0.096±0.037	0.109±0.039	0.123±0.044	F4, 232=5.81, P<0.001a	MDD<HC, BD<HC, SzA<HC

Abbreviations: BD, bipolar disorder; BMI, body mass index; BPRS, Brief Psychiatric Rating Scale; CORE, CORE Assessment of Psychomotor Change; CRP, C-reactive protein; HAM-D, Hamilton rating scale for depression 25 items; HC, healthy control; Kyn, kynurenine; KynA, kynurenic acid; KynA/QA, ratio of kynurenic acid to quinolinic acid; Kyn/TRP, ratio of kynurenine to tryptophan; KynA/3HK, ratio of kynurenic acid to 3-hydroxykynurenine; MDD, major depressive disorder; QA, quinolinic acid; SzA, schizoaffective disorder; SZ, schizophrenia; TRP, tryptophan; YMRS, Young mania rating scale; 3HK, 3-hydroxykynurenine.

Statistically significant after Bonferroni correction for 9 tests: CRP, 5 kynurenine metabolites and 3 ratios (P⩽0.006).

Covariates: Sex, age, BMI and analysis batch.

Healthy controls were recruited from the surrounding community and were interviewed with the Structured Clinical Interview for DSM-IV-TR and the Family Interview for Genetic Studies. The following exclusion criteria applied to healthy controls: a personal history of a psychiatric illness; a first-degree relative with a mood or psychotic disorder; medical conditions or concomitant medications likely to influence central nervous system or immunological function including cardiovascular, respiratory, endocrine and neurological diseases and a history of drug or alcohol abuse within 6 months or a history of drug or alcohol dependence within 1 year (DSM-IV-TR criteria).

Morning fasting blood samples were obtained from inpatients and healthy controls and stored in BD Vacutainer serum tubes and processed according to the standard BD Vacutainer protocol. Samples for high-sensitivity C-reactive protein (hs-CRP) were measured immunoturbidimetrically with the Kamiya Biomedical K-Assay in the Saint Francis Hospital Clinical Laboratory. Serum samples for tryptophan (TRP), KYN, KynA, QA, and 3HK were stored at −80 °C and analyzed in two separate batches blind-to-diagnosis by Brains Online, LLC. The concentrations were determined by high-performance liquid chromatography (HPLC) followed by tandem mass spectrometry (MS/MS) using their standard protocols.

Statistical analysis

Statistical analysis was performed using SYSTAT 13. Deviations from normality were tested using Shapiro–Wilk and Anderson-Darling Statistics and non-normally distributed variables were log normalized. Between group differences in kynurenine pathway metabolites and CRP were tested with two separate multiple analysis of covariance (MANCOVAs), one with CRP and the individual kynurenine metabolites as dependent variables, and the other with Kyn/Trp, KynA/3HK and KynA/QA as dependent variables. The use of these ratios for assessing IDO activation and the neurotoxic imbalance has already been justified.[34, 46, 50, 71, 72, 73] Two separate MANCOVAs had to be performed because the ratios are not independent of the individual metabolites and therefore cannot be run in the same model. For both MANCOVAs, age, sex, body mass index (BMI) and batch were used as covariates (Table 1). Where one or more of the dependent variables were significant in the omnibus test, univariate analysis of varinces (ANOVAs) and pairwise testing with Bonferroni correction for multiple testing were performed to identify which diagnostic groups differed from each other. Specifically, we adjusted the statistical threshold for 9 comparisons: CRP, 5 kynurenine metabolites and 3 ratios (P⩽0.006). Pearson correlation coefficient and linear least-square regressions were performed to assess the associations between the statistically significant kynurenine pathway metabolites and/or ratios and the psychiatric rating scales.

Results

All of the immune markers were non-normally distributed and were therefore log normalized prior to the use of parametric statistics.

The MANCOVA for CRP, TRP, kynurenine, KynA, 3HK and QA revealed a significant group effect (Wilk’s λ=0.834, F20,757=2.13, P=0.003). Follow-up analysis of covariance with sex, age, BMI and batch as covariates, showed that KynA differed across groups (F4, 232=7.17, P<0.001) after correction for multiple comparisons, with significant reductions in MDD (P=0.042), BD (P=0.001) and schizoaffective disorder (SzA; P<0.001) compared with HCs (Table 1 and Figure 1). CRP concentrations were not significantly different across groups in the omnibus ANOVA (F4, 219=2.24, P=0.066) although when follow-up t-tests were performed there were either significantly lower or a trend towards significantly lower CRP concentrations in the healthy control group versus the MDD (t111=2.9, P=0.005), BD (t129=2.2, P=0.030), SzA (t118=1.8, P=0.071) but not schizophrenia (t95=0.2, P=0.818) groups.

Figure 1

Scatterplots showing the difference in KynA/QA (a), KynA/3HK (b) and KynA (c) serum concentrations across the diagnostic groups. The error bars represent the s.e.m. BD, bipolar disorder; HC, healthy controls; Kyn, kynurenine; KynA, kynurenic acid; KynA/QA, ratio of kynurenic acid to quinolinic acid; KynA/3HK, ratio of kynurenic acid to 3-hydroxykynurenine; MDD, major depressive disorder; SZA, schizoaffective disorder; SZ, schizophrenia. *P<0.05. **P<0.01.

The MANCOVA analysis for KYN/TRP, KynA/3HK and KynA/QA also revealed a significant group effect (Wilk’s λ=0.872, F12, 608=2.69, P=0.002). Follow-up analysis of covariance with sex, age, BMI and batch as covariates, showed that KYN/TRP did not significantly differ across groups, however, KynA/3HK (F4, 232=3.70, P=0.006) was significantly reduced in schizoaffective disorder versus healthy controls (P=0.004) and KynA/QA (F4, 232=5.81, P<0.001) was significantly reduced in the MDD (P=0.029), BD (P=0.004) and the schizoaffective disorder (P=0.001) groups compared with healthy controls (Table 1 and Figure 1).

Neither KynA, KynA/3HK, nor KynA/QA correlated significantly with depression or mania rating scale scores in the schizoaffective disorder and BD groups.

The MANCOVA analyses for determining differences between the patient groups in KYN/TRP, KynA/3HK and KynA/QA and the individual kynurenine metabolites according to the potential confounds, urine drug screen (positive versus negative), comprehensive metabolic panel (abnormality versus no abnormality), tobacco use (yes versus no), concurrent anti-depressant drug use (yes versus no), concurrent anti-psychotic drug use (yes versus no), concurrent anti-convulsant drug use (yes versus no) and concurrent anxiolytic drug use (yes versus no) were all non-significant. Further, there was no significant difference in the concentrations of kynurenine pathway metabolites between the patients who presented with significant suicidal ideation versus those who did not present with significant suicidal ideation as determined by the treating psychiatrists. As an example, a visual representation of the data for KynA/QA is shown in Supplementary Figures S2 and S3.

Next we tested the relationship between inflammation (indexed by CRP) and the kynurenine metabolites. In the combined sample there were significant correlations between CRP and Kyn/Trp (rs=0.29, P<0.001), 3HK (rs= 0.25, P<0.001), QA (rs= 0.21, P=0.002), 3HK/Kyn (a potential surrogate marker of KMO activity, rs=0.14, P<0.034), as well as both KynA/3HK (rs= −0.18, P=0.006) and KynA/QA (rs= −0.15, P=0.026; Table 2). In contrast, there were no significant correlations between KynA and CRP (rs= 0.02, P=0.725) or KynA/Kyn (a potential surrogate marker of KAT enzyme activity, rs= −0.1, P=0.145).

Table 2

Spearman’s correlation coefficients between CRP and the kynurenine pathway metabolites

Metabolite	CRP (mg l−1)
TRP (μm)	rs= −0.18, P=0.008
Kyn (nm)	rs= 0.17, P=0.011
KynA (nm)	rs= 0.02, P=0.725
3HK (nm)	rs= 0.25, P<0.001
QA (nm)	rs= 0.21, P=0.002
Kyn/TRP	rs= 0.29, P<0.001
KynA/3HK	rs= −0.18, P=0.006
KynA/QA	rs= −0.15, P=0.026
3HK/Kyn	rs= 0.14, P=0.034
KynA/Kyn	rs= −0.1, P=0.145

Abbreviations: CRP, C-reactive protein; Kyn, kynurenine; KynA, kynurenic acid; KynA/QA, ratio of kynurenic acid to quinolinic acid; Kyn/TRP, ratio of kynurenine to tryptophan; KynA/3HK, ratio of kynurenic acid to 3-hydroxykynurenine; TRP, tryptophan.

In exploratory analyses we categorized the patients into affective disorder (non-psychotic), affective psychosis and psychotic disorder (non-affective) groups in place of the standard DSM-IV categorizations (Supplementary Table S1 and Figure 2). First, the principal findings were that KynA differed between the groups (F3, 233=9.69, P<0.001) with both the affective disorder (P=0.017) and affective psychosis groups showing reduced levels of KynA compared with healthy controls (P<0.001). Second, KynA/3HK (F3,233=6.07, P<0.001) was significantly reduced in affective psychosis versus affective disorder (P=0.017) and affective psychosis versus healthy controls (P<0.001). Similarly, KynA/QA differed across groups (F3,233=7.55, P<0.001) and was significantly reduced in the affective disorder (P=0.035) and affective psychosis (P<0.001) groups compared with healthy controls (details are provided in Supplementary Table S1).

Figure 2

Scatterplots showing the difference in 3HK (a), KynA (b) and KynA/3HK (c), and KynA/QA (d) serum concentrations across groups. The error bars represent the standard error of the mean. AD, affective disorder without psychosis; AP, affective psychosis; HC, healthy control; Kyn, kynurenine; KynA, kynurenic acid; KynA/QA, ratio of kynurenic acid to quinolinic acid; KynA/3HK, ratio of kynurenic acid to 3-hydroxykynurenine; PD, psychotic disorder (non-affective). *P<0.05. **P<0.01.

We also performed an additional secondary analysis to evaluate the effect of phase of illness in BD on CRP and kynurenine metabolite concentrations. No significant differences between BD patients with a current depressive (n=15), manic (n=25) or mixed episode (n=10) were found after controlling for age, sex and BMI (Wilk’s λ=0.850, F6,40=1.18, P=0.336). Similarly, there were no significant group differences in Kyn/Trp, KynA/3HK and KynA/QA (Wilk’s λ=0.862, F3,43=2.30, P=0.091).

Discussion

Here we report significantly lower KynA/3HK and KynA/QA ratios in acutely ill BD and/or schizoaffective disorder patients (and all affective psychosis patients combined). This effect was driven by a reduction in KynA concentration. These findings remained significant after applying a Bonferroni correction for multiple testing. The results also remained significant with and without statistically controlling for age, sex and BMI, and were not significantly affected by concurrent medication use, nicotine use, drugs of abuse and biochemical abnormalities assessed with a comprehensive metabolic panel. Further, we observed a reduction in KynA and KynA/QA in patients with MDD that replicated our previous results in independent samples of MDD outpatients.[34, 46] Although CRP concentrations were not significantly different across groups in the omnibus ANOVA, the mean CRP score of the healthy control group was ~3 mg l−1 lower than both the MDD and BD groups, and 3.6 mg/l lower than the schizoaffective disorder group (Table 1). Follow-up t-tests indicated that the healthy controls had significantly lower concentrations of CRP or a statistical trend towards lower concentrations of CRP than the MDD, BD and SzA groups. However, there was no difference in CRP concentrations between the healthy controls and the schizophrenia group.

The significant positive correlation between CRP and the activation of the neurotoxic pathway, but not the concentration of KynA (Table 2), potentially is consistent with previous reports demonstrating that although during homeostasis approximately equal amounts of 3HK and KynA are produced from kynurenine,[40] under conditions of inflammation the production of QA predominates over KynA, possibly because of the upregulation of kynurenine mono-oxygenase (KMO).[32, 35, 41, 42] Our results thus are compatible with evidence suggesting that a proinflammatory drive on the kynurenine metabolic pathway exists in patients with mood disorders, and also indicate that this proinflammatory drive is greater in psychotic versus non-psychotic affective disease.

A question that remains is why Kyn/Trp concentrations do not differ significantly between patients and controls if the depression and schizoaffective disorder-associated decrease in KynA results from an inflammatory process? There are several possibilities. First, we cannot rule out the possibility that non-inflammatory factors such as genetic or epigenetic variants[54] may have contributed to this neurotoxic shift. Second, much of the work that has drawn a link between increases in Kyn/Trp and depression is derived from either preclinical studies or treatment studies of medically-ill patients where inflammation is induced by LPS and immune-modifying drugs (for example, interferon α), respectively. LPS and interferon α cause a robust, systemic inflammatory response that is indexed by significant increases in CRP and proinflammatory cytokines including interferon γ, one of the most important activators of IDO.[74] In contrast, the low-grade inflammation observed in non-medical illness-associated depression and psychosis may have different physiological effects. In fact, it is known that stress and major depression are associated with a shift away from Th1-type immunity, including a decrease in circulating concentrations of interferon γ.[75, 76, 77, 78, 79, 80, 81] Consistent with these data, a recent meta-analysis reported that peripheral concentrations of interferon γ are reduced in MDD.[82] Unfortunately, little is known about the inflammatory mediators that regulate the expression and/or activity of KMO and other kynurenine pathway enzymes but it is conceivable that depression-associated changes in immunological function alter the activity of KMO or the KAT enzymes via interferon γ-independent pathways.

Third, the Kyn/Trp ratio also is affected by the enzyme, tryptophan-2,3-dioxygenase (TDO), which converts tryptophan to N-formylkynurenine.[83] TDO is induced by corticosteroids that may be either increased or decreased in depression and affective psychosis depending on illness subtype or whether cortisol readings are obtained with or without exposure to a laboratory stressor.[84, 85, 86, 87] Thus, the absence of a significant difference in Kyn/Trp between patients and controls also may reflect HPA dysfunction such as blunted cortisol release.

While no previous study has measured kynurenine metabolites in patients with schizoaffective disorder, the results obtained in the psychotic BD group and the schizoaffective disorder group are strikingly consistent with the results of two studies of Myint, Kim, Leonard and colleagues. Myint et al. initially reported that plasma KynA concentrations in patients with bipolar mania were decreased by approximately 20% compared to healthy controls.[51] Here we also observed a 20% decrease in the peripheral concentration of KynA in subjects with BD with psychosis. Subsequently, Myint et al. measured kynurenine metabolites in the plasma of medication-free patients with schizophrenia at admission and following 6 weeks of antipsychotic treatment.[88] KynA was reduced and 3HK was elevated in the plasma of the patients with schizophrenia compared with healthy controls. Further, the KynA/3HK ratio also remained lower in the patients relative to controls but nevertheless had significantly increased relative to baseline after 6 weeks of treatment. Here we did not find a difference in kynurenine metabolite concentrations between patients with schizophrenia and controls. However, we report an approximate decrease of 18% in KynA/3HK in the schizoaffective disorder group versus the healthy control group.

In contrast, BD patients with psychosis have been reported to display elevations in KynA in the CSF and decreases in KMO gene expression postmortem that could theoretically increase KynA concentrations in the brain.[54, 67] Here we find that the reductions in KynA in the serum were in fact most pronounced in BD patients with psychosis and patients with schizoaffective disorder, but not schizophrenia. Nevertheless, given the smaller sample of participants with schizophrenia, it is likely that our study was underpowered to detect small effect sizes in this group.

One explanation for the discrepant results in the affective psychosis literature may relate to stage of illness. In this study, the participants were acutely ill whereas in the studies that reported increased CSF KynA in BD, the participants were symptom-free outpatients with a history of psychosis.[54, 67] Conceivably, the increase in KynA in these patients may be reflective of recovery from illness rather than a pathogenic marker, per se.

A limitation of our study design is that we measured kynurenine metabolites in the serum, and while kynurenine and 3HK readily cross the blood–brain barrier, other metabolites such as KynA and QA do not cross the blood–brain barrier and at least under normal conditions, do not contribute significantly to brain concentrations.[89] Nevertheless, extant evidence suggests a significant correlation between peripheral and CSF levels of QA and KynA in the context of depression and inflammation. For instance, a highly significant association between the plasma and CSF concentrations of QA in IFNα-treated hepatitis C patients was reported by Raison, Miller and colleagues (r=0.72, P<0.001).[33] Further, Brundin, Erhardt and colleagues have reported persistent reductions in KynA and increases in QA in the CSF of suicide attempters, consistent with our peripheral measures in subjects with mood disorders.[48, 49] In addition, Steiner and colleagues observed an increased density of QA-positive microglial cells in the subgenual anterior cingulate cortex (sgACC) and the mid-anterior cingulate cortex in postmortem samples with either MDD or BD who died by suicide.[90] Notably, psychosis is a significant risk factor for suicide attempts with up to 10% of first-episode psychosis patients making at least one suicide attempt.[91, 92] Further, the presence of psychosis reportedly increases the risk of suicide in patients with MDD[93] and self-harm and suicidality are highly prevalent in patients at ultra-high risk of psychosis.[94]

Further, the results of other studies that obtained central measures of ‘inflammation’ indirectly support our findings. First, most positron emission tomography (PET) studies of microglial translocator protein binding have reported increased labeling in non-psychotic patients with MDD versus healthy controls.[95, 96] In addition, three PET studies using the PK 11195 ligand reported microglia activation in patients with schizophrenia or BD[97, 98, 99] and these findings were recently replicated in a study of subjects at ultra-high risk of psychosis and patients with schizophrenia that made use of the second generation PBR28 ligand.[100] Since QA is thought to be produced largely by microglia, conceivably, KMO activity may be elevated in the brain in both affective disorder and affective psychosis.

A second limitation was the imperfect control for medication effects. We grouped medication broadly by class, that is, anti-depressants, anti-psychotics, anti-convulsants and anxiolytics. However, this method cannot account for variation in the effects of types of medication within a class, differences in dose and the effects of multiple combinations of medications. Similarly, we measured the effects of tobacco use, metabolic abnormalities and suicidal behavior in a dichotomous manner and thus cannot account for amount, specificity and severity, respectively.

In summary, within the methodological limitations of the current design, our study questions the prevailing model of excess KynA production in affective psychosis, and indicates that further research is necessary to fully capture the biological role of the kynurenine pathway in both depression and affective psychosis.

Regarding the nosological boundaries of the psychiatric disorders studied here, the results indicate that schizoaffective disorder may be more closely related to affective psychosis than to schizophrenia with respect to manifesting a proinflammatory drive on kynurenine metabolism. Although most studies support the hypothesis that schizoaffective disorder resides on a continuum between BD and schizophrenia,[101] the other data suggest that schizoaffective disorder should be subsumed under the schizophrenia category.[102] Nevertheless, it also is conceivable that schizoaffective disorder is more heterogeneous, with some patients having a pathophysiology like that of BD and others having one like that of schizophrenia, and that advances in nosology will be needed to resolve such questions. It is also important to note that the mean differences in KynA between affective and non-affective psychosis were limited to the group level without directionality or linear associations. Thus at least in the short term, the measurement of kynurenine metabolites are unlikely to be useful for individual-level diagnosis.