Impulsivity is a transdiagnostic feature linked to severe clinical expression and a potential target for psychopharmacological strategies. Biological underpinnings are largely unknown, but involvement of immune dysregulation has been indicated, and the effects of psychopharmacological agents vary. We investigated if impulsivity was associated with circulating immune marker levels and with a range of psychopharmacological treatment regimens in severe mental disorders.
Methods
Impulsivity was assessed in a sample (N = 657) of patients with schizophrenia or schizophreniform disorder (SCZ) (N = 116) or bipolar disorder (BD) (N = 159) and healthy participants (N = 382) using the Barratt Impulsiveness Scale (BIS-11) questionnaire. Plasma levels of systemic immune markers (RANTES, IL-1RA, IL-18, IL-18BP, sTNFR-1) were measured by enzyme immunoassays. Patients underwent thorough clinical assessment, including evaluation of psychotropic medication. Associations were assessed using linear regressions.
Results
Impulsivity was positively associated with SCZ (p < 0.001) and BD (p < 0.001) diagnosis and negatively associated with age (p < 0.05), but not significantly associated with any of the circulating immune markers independently of diagnostic status. Among patients, impulsivity was negatively associated with lithium treatment (p = 0.003) and positively associated with antidepressant treatment (p = 0.011) after controlling for diagnosis, psychotropic co-medications, manic symptoms, and depressive symptoms.
Conclusions
We report elevated impulsivity across SCZ and BD but no associations to systemic immune dysregulation based on the current immune marker selection. The present study reveals associations between impulsivity in severe mental disorders and treatment with lithium and antidepressants, with opposite directions. Future studies are warranted to determine the causal directionality of the observed associations with psychopharmacotherapy.
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Abkürzungen
BD
Bipolar disorder diagnosis
BIS-11
Barratt Impulsiveness Scale
CDSS
Calgary Depression Scale for Schizophrenia
CRP
C-reactive protein
DDD
Defined daily dose
DSM-IV
Diagnostic and Statistical Manual of Mental Disorders Fourth Edition
ELISA
Enzyme-linked immunosorbent assay
GAF-F
Global Assessment of Functioning Split Version
IL
Interleukin
IL-1RA
Interleukin-1 receptor antagonist
IL-18BP
IL-18 binding protein
PANSS
Positive and Negative Syndrome Scale
RANTES
Regulated on activation normal T cell expressed and secreted
SCID-I
Structured Clinical Interview for DSM-IV axis I disorders
SCZ
Schizophrenia or schizophreniform disorder diagnosis
sTNFR1
Soluble TNF receptor 1
TNF
Tumor necrosis factor
TOP
Thematically Organized Psychosis
YMRS
Young Mania Rating Scale
Background
Schizophrenia and bipolar disorder are severe mental disorders with overlapping clinical presentations, environmental risk factors, and polygenic architectures [1, 2]. The development of a severe mental disorder affects quality of life and functioning, although illness course varies substantially between individuals [3]. Impulsivity can be conceptualized as a tendency to react without considering the consequences [4]. Elevated impulsivity has been demonstrated in bipolar and schizophrenia spectrum disorders as well as in a range of other mental disorders such as attention-deficit hyperactivity disorder, borderline and antisocial personality disorders, and intermittent explosive disorder [5‐7]. Impulsivity has been linked to severe clinical expression, including suicidality, aggression, and early onset of the disorder [7‐9]. Thus, it has been proposed that patients across psychiatric diagnostic categories that express high impulsivity levels may benefit from preventive and therapeutic strategies targeting impulsivity [7, 8]. However, the biological underpinnings of impulsivity are largely unknown, which imposes limitations to the development of optimized treatment and prevention of adverse outcomes.
A growing body of evidence points to involvement of the immune system in mental health and illness. Clinical genome-wide association studies and transcriptome-wide approach in human brain tissue have suggested a role of immune pathways across severe mental disorders [10, 11]. Furthermore, elevations of circulating inflammatory immune markers have been demonstrated in schizophrenia, bipolar, as well as major depressive disorder [12]. Intriguingly, impulsivity and impulsivity-related clinical phenomena such as agitation and aggression have been linked to disturbances in inflammatory pathways, both in the general population [13] and across mental disorders [14‐19]. Specifically, the chemokine Regulated on activation normal T cell expressed and secreted (RANTES), interleukin (IL)-1 family, and tumor necrosis factor (TNF) pathways have been proposed as pathophysiological candidates of impulsivity based on studies among individuals with alcohol dependence [20] and suicidal behavior [21], as well as on rodent models [22]. The IL-1 family signaling pathways include immune markers such as IL-1β, IL-1 receptor antagonist (IL-1RA), IL-18, and IL-18 binding protein (IL-18BP), while markers such as TNF and soluble TNF receptor 1 (sTNFR1) belong to the TNF superfamily. The IL-1 family and TNF signaling pathways are involved in the coordination of innate immune responses and have potent pro-inflammatory properties [23, 24]. As ligands in these immune marker superfamilies circulate at levels just above the detection limit of commercially available assays, use of surrogate stable markers such as IL-1RA and sTNFR1 can be employed to reliably reflect the activity within IL-1 and TNF systems [25, 26]. Interestingly, the IL-1 family and TNF signaling pathways have been proposed to interplay with neurotransmission and neuronal excitability [27]. Likewise, the inflammatory chemoattractant RANTES, with previously indicated elevated systemic levels in schizophrenia [28, 29], has been suggested to play a neuromodulatory role [30, 31]. However, potential links between these immune pathways and impulsivity, with their possible impact on psychopathology in severe mental disorders, are yet to be determined.
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Impulse control impairments are often seen in the context of illness exacerbations such as psychotic or manic episodes, which can be treated with antipsychotics, anticonvulsants, and lithium [32‐34]. Intriguingly, animal models have shown impulsivity-lowering effect of lithium [35, 36], paralleled by anti-inflammatory effects (i.e., decrease of RANTES and IL-1β levels in plasma and brain tissue) [22]. Impulsivity-lowering effects of antipsychotics [37] and anticonvulsants [38] have also been indicated, and a role of dopaminergic and serotoninergic signaling has been suggested [39]. Further, despite that adjunctive psychopharmacotherapy with antidepressants is broadly used in clinical practice across bipolar and schizophrenia spectrum disorders [40, 41], its relationship to impulsivity in severe mental disorders has not been evaluated.
The aim of the present study was to (1) investigate associations between impulsivity and plasma levels of immune markers in a large cross-sectional sample of individuals with and without severe mental disorder and (2) explore links between impulsivity and psychopharmacological treatment in a naturalistic setting. We hypothesized that plasma levels of RANTES, IL-1RA, IL-18, IL-18BP, and sTNFR1 would be positively associated with impulsivity across the diagnostic categories. Further, we hypothesized that antipsychotic, anticonvulsant, and lithium treatment would be negatively associated with impulsivity. Given the sparsity of evidence regarding the relationship between antidepressants and impulsivity in severe mental disorders, the corresponding part of our study was explorative.
Methods
Study design and participants
The present study is a cross-sectional investigation of impulsivity in a sample (N = 657) of participants recruited between the years 2011 and 2018 through the ongoing Thematically Organized Psychosis (TOP) study at the NORMENT research center, Oslo, Norway. The TOP study enrolls patients with severe mental disorders referred from psychiatric inpatient and outpatient clinics and age- and catchment area matched healthy controls randomly selected from the national population registry. In the patient group (N = 275), the main inclusion criterion was a schizophrenia or schizophreniform disorder diagnosis (SCZ, grouped together based on the extensive overlap in clinical features [42] and in accordance with common research practice [43]) or a bipolar disorder diagnosis (BD) assigned according to the Diagnostic and Statistical Manual of Mental Disorders Fourth Edition (DSM-IV) [42]. Further inclusion criteria were age between 18 and 65 years and the ability to give informed consent. The exclusion criteria consisted of pronounced cognitive deficit (IQ scores below 70), history of severe head trauma, neurological disorder, immunological condition, current infection (indicated by medical records, self-report, medication use, or C-reactive protein (CRP) level above 10 mg/L), and use of any immunomodulatory agents. In the healthy participant group (N = 382), the presence or history of a severe mental disorder among the participants or their first-degree relatives constituted an additional exclusion criterion.
Clinical assessment
Participants in the patient group underwent general physical examination, review of medical records, and clinical interviews, including the Structured Clinical Interview for DSM-IV axis I disorders (SCID-I) [44]. The assessments resulted in assigning one of the following diagnoses; SCZ (N = 116): schizophrenia (DSM-IV 295.1, 295.3, 295.6, 295.9, N = 103), schizophreniform disorder (DSM-IV 295.4, N = 13) or BD (N = 159): bipolar I (DSM-IV 296.0, 296.4, 296.5, 296.6, 296.7, N = 90), bipolar II (DSM-IV 296.89, N = 59), bipolar not otherwise specified (DSM-IV 296.80, N = 10). Symptom load was evaluated with the Positive and Negative Syndrome Scale (PANSS) [45], the Young Mania Rating Scale (YMRS) [46], and the Calgary Depression Scale for Schizophrenia (CDSS) [47]. The level of functioning was measured according to the Global Assessment of Functioning Split Version (GAF-F) [48]. In addition to a comprehensive review of somatic and psychiatric history, healthy participants were assessed using the Primary Care Evaluation of Mental Disorders [49].
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Impulsivity scores
Impulsivity was measured using the Barratt Impulsiveness Scale (BIS-11) questionnaire [50]. The BIS-11 is commonly used to assess behavioral and personality constructs of impulsivity across general- and patient populations [51]. The BIS-11 consists of 30 items, which are self-evaluated on a 4-point Likert scale. The total score ranges from 30 to 120, with higher scores reflecting higher levels of impulsivity. Internal consistency of the total score has been reported as acceptable [4, 50‐53].
Psychotropic medication
All patients were interviewed about their current pharmacological treatment, and medical records were used to validate the information. The psychopharmacological agents were sorted into the following groups: antipsychotics (olanzapine, risperidone, paliperidone, amisulpride, aripiprazole, clozapine, quetiapine, zuclopenthixol, perphenazine, ziprasidone, chlorprothixene, levomepromazine), anticonvulsants (valproate, lamotrigine, carbamazepine), lithium, and antidepressants (escitalopram, fluoxetine, sertraline, paroxetine, venlafaxine, mirtazapine, mianserin, bupropion). The current dose relative to the defined daily dose (DDD) was calculated for the antipsychotics, anticonvulsants, lithium, and antidepressants, according to the guidelines from the World Health Organization Collaborating Center for Drug Statistics Methodology (https://www.whocc.no/atc_ddd_index/).
Immune markers
Blood samples were collected using venipuncture and EDTA vials. The median time of the blood sampling was 10 a.m. in the patient group and 3 p.m. among the healthy participants. Plasma was isolated the next working day and stored at -80 °C in the biobank. Samples were not refrigerated during shipment to the biobank. Plasma concentrations of immune markers were measured with enzyme-linked immunosorbent assay (ELISA) methods, using IL-1RA antibodies (Cat#900K474) from PeproTech (Cranbury, NJ, USA) and IL-18 (Cat#DY318-05), IL-18BP (Cat#DY119), sTNFR1 (Cat#DY225), and RANTES antibodies (Cat#DY278) from R&D Systems (Stillwater, MN, USA). RANTES, IL-18 and IL-18BP were analyzed in 2018, while IL-1RA and sTNFR1 were analyzed in a subsample of participants (N = 240) in 2013. All analyses were conducted in duplicate in a 384-well format, using a pipetting robot (SELMA, Analytik Jena, Jena, Germany) and a washer dispenser (BioTek, Winooski, VT, USA). Absorption was read by ELISA plate reader (BioTek, Winooski, VT, USA) at 450 nm with 540 nm wavelength correction. The assay sensitivities were: 20 pg/mL for RANTES, 25 pg/mL for IL-1RA, 22 pg/mL for IL-18, 25 pg/mL for IL-18BP, and 20 pg/mL for sTNFR1. In 10 samples (1.5%), levels of RANTES were under the detection limit and were set to 20 pg/mL, while level of IL1-RA was under the detection limit in 1 sample (0.4%) and thus set to 25 pg/mL. Intra- and inter-assay coefficients of variation were below 10% for all analyses. To ensure compliance with the exclusion criteria, samples were screened for serum CRP levels above 10 mg/L, using particle-enhanced immunoturbidimetric methods from Roche Diagnostics (Indianapolis, IN, USA) at the Department of Medical Biochemistry, Oslo University Hospital, Oslo, Norway.
Statistical analyses
Data were analyzed using the R software package version 4.2.1 (www.R-project.org). Normality of the distributions was assessed by Kolmogorov–Smirnov tests, and differences in Descriptive characteristics were compared across diagnostic categories using Wilcoxon rank-sum tests, Kruskal–Wallis tests with post hoc pair-wise comparisons, or chi-squared tests. Before further analyses, the BIS-11 total scores (measure of impulsivity) were successfully log-transformed to attain normality. Following inspection of the immune marker distributions, extreme values exceeding the first or third quantile by three interquartile ranges or more were removed prior to entry into analyses (1.4% of RANTES, 3.8% of IL-1RA, 0.5% of IL-18, 1.7% of IL-18BP, and 0.4% of sTNFR1). Linear regressions with one immune marker at a time as the independent variable and impulsivity as the dependent variable were employed, while controlling for sex, age, diagnosis (healthy individuals, SCZ, and BD coded as dummy variables), BMI, and smoking status as a dichotomous variable. Further, the relationships between immune markers and impulsivity in the separate diagnostic groups (healthy individuals, SCZ, and BD) were assessed in exploratory analyses, while controlling for sex, age, BMI, and smoking status in the analyses comprising healthy individuals, and controlling for sex, age, BMI, smoking status, psychotropic medication (DDD of antipsychotics, anticonvulsants, lithium, and antidepressants), manic symptoms (YMRS score), and depressive symptoms (CDSS score) in the SCZ analyses and the BD analyses. Next, associations between psychopharmacological treatment and impulsivity were investigated in the patient group. We ran a linear regression with DDD of antipsychotics, anticonvulsants, lithium, and antidepressants as independent variables and impulsivity as the dependent variable, while controlling for sex, age, diagnosis (SCZ versus BD), manic symptoms (YMRS score), and depressive symptoms (CDSS score), and we conducted follow-up analyses in the separate diagnostic groups (SCZ and BD). Standardized residuals, variance inflation factors, and Cook’s distances were inspected to ensure no violation of the model assumptions. All analyses were two-tailed, with a general significance level at 0.05. Based on Bonferroni correction for multiple testing, significance level was set at 0.01 (0.05/5) for the immune marker analyses and at 0.0125 (0.05/4) for the analyses of psychopharmacotherapy.
Results
Descriptive characteristics
The median of the BIS-11 total score was 66 in the SCZ group, 68 in the BD group, and 58 in the healthy participant group. The BIS-11 total scores were higher in both the SCZ (p < 0.001) and the BD (p < 0.001) group, compared to the healthy participants, while there were no significant differences in the BIS-11 total scores between the patient groups (p = 0.09) (Fig. 1). Patients in the BD group were more often female and had a higher level of functioning, more depressive symptoms, and lower total PANSS scores than patients in the SCZ group. Compared to patients in the SCZ group, patients in the BD group also less often used antipsychotics and more often used anticonvulsants and lithium. Descriptive characteristics are presented in more detail in Table 1, Table 2, and Table S1.
Fig. 1
Impulsivity across individuals with severe mental disorders and healthy individuals.
BD bipolar disorder; SCZ, schizophrenia or schizophreniform disorder; HC, healthy participant group. Impulsivity displayed as total scores on Barratt Impulsiveness Scale 11
Table 1
Demographic and clinical characteristics
SCZ
BD
HC
pSCZ versus HC
pBD versus HC
pSCZ versus BD
Total N = 657
N = 116
N = 159
N = 382
N (%)
Male
78 (67)
63 (40)
221 (58)
0.07
< 0.001
< 0.001
Antipsychotics
104 (90)
72 (45)
NA
NA
NA
< 0.001
Anticonvulsants
9 (8)
43 (27)
NA
NA
NA
< 0.001
Lithium
5 (4)
27 (17)
NA
NA
NA
0.001
Antidepressants
21 (18)
35 (22)
NA
NA
NA
0.43
Median (IQR)
Age
28 (14)
30 (17)
31 (13)
p Kruskal–Wallis test = 0.41
BIS-11 total score
66 (15)
68 (16)
58 (10)
< 0.001
< 0.001
0.09
PANSS total score
62 (18)
42 (11)
NA
NA
NA
< 0.001
CDSS
3 (5)
4 (7)
NA
NA
NA
0.02
YMRS
2 (4)
2 (4)
NA
NA
NA
0.82
GAF-F
42 (16)
60 (19)
NA
NA
NA
< 0.001
BD Bipolar disorder, BIS-11 Barratt Impulsiveness scale, CDSS Calgary Depression Scale for Schizophrenia, GAF-F Global Assessment of Functioning, HC Healthy participant group, IQR Interquartile range, NA Not applicable, PANSS Positive and Negative Syndrome Scale, SCZ Schizophrenia or schizophreniform disorder, YMRS Young Mania Rating Scale
p values based on chi-squared-, Wilcoxon rank-sum-, or Kruskal–Wallis tests with post hoc pair-wise comparisons
Table 2
Circulating immune marker levels (pg/mL)
Median (IQR)
SCZ
BD
HC
RANTES
76.2 (82.6)
65.6 (60.6)
89.5 (77.3)
IL-1RA
297.0 (416.9)
267.5 (359.9)
247.3 (247.0)
IL-18
1 358.7 (1 895.2)
1 078.2 (1 369.2)
1 227.1 (1 308.5)
IL-18BP
6 285.7 (2 830.6)
5 597.4 (2 136.1)
5 244.2 (2 628.9)
sTNFR1
2 174.3 (947.6)
2 398.5 (1 306.4)
1 284.5 (858.0)
×
Associations between impulsivity and the immune markers
In the full model, impulsivity was positively associated with SCZ (p < 0.001) and BD (p < 0.001) diagnosis and negatively associated with age (p < 0.05), while there was no significant association with sex. As shown in Table 3, there were no significant associations between the immune markers and impulsivity in any of the separate diagnostic groups (SCZ, BD, healthy individuals) or in the total sample. Visualization of the relationships between the immune markers and impulsivity is presented in Fig. 2.
Table 3
Linear regressions of associations between circulating immune markers and impulsivity
Coefficient estimate (99% CI)
Standardized coefficient β
t
p
Total samplea
RANTES
-0.23 (-0.54 to 0.08)
-0.08
-1.93
0.05
IL-1RA
0.03 (-0.15 to 0.21)
0.03
0.39
0.70
IL-18
0.004 (-0.01 to 0.02)
0.03
0.74
0.46
IL-18BP
0.001 (-0.01 to 0.01)
0.01
0.25
0.80
sTNFR1
-0.001 (-0.05 to 0.05)
-0.002
-0.03
0.98
SCZb
RANTES
-1.61 (-1.33 to 0.11)
-0.23
-2.25
0.03
IL-1RA
-0.11 (-0.50 to 0.28)
-0.17
-0.79
0.44
IL-18
0.02 (-0.02 to 0.06)
0.15
1.35
0.18
IL-18BP
0.003 (-0.02 to 0.02)
0.04
0.37
0.71
sTNFR1
-0.03 (-0.22 to 0.16)
-0.09
-0.39
0.70
BDb
RANTES
-0.08 (-0.69 to 0.53)
-0.03
-0.36
0.72
IL-1RA
0.18 (-0.43 to 0.79)
0.19
0.84
0.41
IL-18
-0.003 (-0.03 to 0.03)
-0.02
-0.29
0.77
IL-18BP
-0.01 (-0.03 to 0.01)
-0.11
-1.28
0.20
sTNFR1
0.03 (-0.09 to 0.16)
0.16
0.72
0.48
HCc
RANTES
-0.15 (-0.58 to 0.28)
-0.07
-0.90
0.37
IL-1RA
-0.05 (-0.31 to 0.21)
-0.06
-0.51
0.61
IL-18
0.002 (-0.02 to 0.02)
0.02
0.20
0.84
IL-18BP
0.003 (-0.02 to 0.03)
0.02
0.32
0.75
sTNFR1
-0.05 (-0.12 to 0.01)
-0.28
-2.11
0.04
BD Bipolar disorder, CI Confidence interval, HC Healthy participant group, IL-18 Interleukin-18, IL-18BP Interleukin-18 binding protein, IL-1RA Interleukin-1 receptor antagonist, RANTES Regulated on activation normal T cell expressed and secreted, SCZ Schizophrenia or schizophreniform disorder, sTNFR1 Soluble tumor necrosis factor receptor 1
aSeparate regression for each immune marker, also controlled for sex, age, diagnosis, BMI, and smoking
bSeparate regression for each immune marker, also controlled for sex, age, BMI, smoking, psychotropic medication, manic symptoms, and depressive symptoms
cSeparate regression for each immune marker, also controlled for sex, age, BMI, and smoking
Fig. 2
Associations between circulating immune marker levels and impulsivity.
X axis: Plasma level of the immune marker (ng/mL). Y axis: Barratt Impulsiveness scale 11, total score. RANTES, Regulated on activation normal T cell expressed and secreted; IL-1RA, Interleukin-1 receptor antagonist; IL-18, Interleukin-18; IL-18BP, Interleukin-18 binding protein; sTNFR1, Soluble tumor necrosis factor receptor 1. SCZ, schizophrenia or schizophreniform disorder; BD bipolar disorder; HC, healthy participant group
×
Associations between impulsivity and psychopharmacological treatment
Among the patients, impulsivity was negatively associated with DDD of lithium (β = -0.19, t = -3.00, p = 0.003) and positively associated with DDD of antidepressants (β = 0.16, t = 2.58, p = 0.011) after controlling for sex, age, diagnosis, other psychotropic medications, manic symptoms, and depressive symptoms. There were no significant associations between impulsivity and DDD of antipsychotics (β = 0.03, t = 0.40, p = 0.69) or anticonvulsants (β = -0.11, t = -1.75, p = 0.08). The follow-up analysis in the SCZ group did not reveal any significant associations between psychopharmacotherapy and impulsivity, although directions of effects and effect sizes were similar to the results in the total patient sample (Table 4). In the BD group, impulsivity was negatively associated with DDD of lithium (β = -0.20, t = -2.54, p = 0.0122), while there were no other significant associations between psychopharmacotherapy and impulsivity. Effect directions of DDD of lithium and antidepressants were consistent across analyses in the total patient sample, SCZ, and BD.
Table 4
Linear regressions of associations between psychopharmacotherapy and impulsivity among patients with severe mental disorders
Coefficient estimate (98.75% CI)
Standardized coefficient β
t
p
Total patient samplea
Antipsychotics, DDD
-0.01 (-0.02 to 0.03)
0.03
0.40
0.69
Anticonvulsants, DDD
-0.04 (-0.10 to 0.02)
-0.11
-1.75
0.08
Lithium, DDD
-0.08 (-0.15 to -0.01)
-0.19
-3.00
0.003*
Antidepressants, DDD
0.01 (0.001 to 0.07)
0.16
2.58
0.011*
SCZa
Antipsychotics, DDD
0.02 (-0.02 to 0.05)
0.12
1.13
0.26
Anticonvulsants, DDD
-0.03 (-0.16 to 0.09)
-0.07
-0.69
0.50
Lithium, DDD
-0.12 (-0.35 to 0.10)
-0.14
-1.40
0.17
Antidepressants, DDD
0.03 (-0.02 to 0.09)
0.15
1.49
0.14
BDa
Antipsychotics, DDD
-0.01 (-0.06 to 0.04)
-0.03
-0.35
0.73
Anticonvulsants, DDD
-0.04 (-0.12 to 0.03)
-0.12
-1.45
0.15
Lithium, DDD
-0.08 (-0.16 to -0.0003)
-0.20
-2.54
0.0122*
Antidepressants, DDD
0.03 (-0.01 to 0.07)
0.14
1.82
0.07
BD Bipolar disorder, CI Confidence interval, DDD Defined daily dose, SCZ Schizophrenia or schizophreniform disorder, YMRS Young Mania Rating Scale
aAlso controlled for sex, age, diagnosis, manic symptoms, and depressive symptoms
*p < 0.0125
Discussion
We investigated links between impulsivity and circulating immune markers within putative pathophysiological pathways, and we examined associations between impulsivity and psychopharmacotherapy in severe mental disorders. The main findings were (1) no significant associations between circulating levels of RANTES, TNF, or IL-1 family immune markers and impulsivity, (2) a negative association between impulsivity and lithium treatment, and a positive association between impulsivity and antidepressant treatment.
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We found a negative association between lithium treatment and impulsivity, which is in line with reported impulsivity-reducing properties of lithium in rodent models [22, 36]. While the exact molecular mechanisms that may underlie lithium effects are not fully understood, inhibition of glycogen synthase kinase-3 as well as of inositol monophosphatase and subsequent interplay with cellular signaling and neurotransmission have been identified as the main candidates [54‐57]. Impulsivity-reducing properties of lithium treatment have also been described among patients with bipolar disorder in the context of manic episodes [38] or comorbid pathological gambling [58]. Moreover, impaired impulse control has been indicated as one of the major factors in suicidality [59], and lithium has shown protective effects on suicide risk in mood disorders [60‐62]. On the other hand, a link between clinical characteristics and the lithium prescription practice [63] may also underlie the observed association between impulsivity and lithium treatment. The follow-up analyses revealed consistent effect directions across the total patient sample, SCZ, and BD, although the association in the SCZ group did not reach statistical significance. Therefore, it remains unclear to which degree the current findings apply to patients with schizophrenia or schizophreniform disorder.
The patient sample revealed a positive association between antidepressant treatment and impulsivity. This association might reflect a causal effect of antidepressants on impulsivity or a more intensive antidepressant prescription practice in impulsive patient populations. Indeed, clinical characteristics have been suggested to affect the antidepressant prescription practice, with deflections from the standard first-line treatment of major depressive disorder in more severely ill patient populations at higher suicide risk [64]. A large register-based observational study has shown an increased risk of suicide attempt repetition in individuals prescribed antidepressants, which was not apparent after accounting for the baseline risk of suicide attempt repetition [65]. However, meta-analyses of randomized controlled trials of antidepressants have indicated an increase in suicidality among adolescents [66] and young adults [67], while no significant increase was detected across the adult population [67]. Interestingly, it has been proposed that impulsivity may be particularly related to suicide risk among younger adults [68]. Importantly, antidepressants typically target serotonergic signaling, but the effects beyond reduction of depressive symptoms [69] and exact mechanisms of action remain elusive and likely complex [70, 71]. Of note, the follow-up analyses in the separate diagnostic groups revealed consistent effect directions and sizes but no statistically significant associations, highlighting the value of a trans-diagnostic approach but, at the same time, the need for large homogeneous samples.
There were no significant associations between anticonvulsant or antipsychotic treatment and impulsivity. This is in line with impulsivity reductions in rodents exposed to lithium but not in those exposed to anticonvulsants such as valproate or carbamazepine [35, 36]. However, clinical studies have previously indicated an inverse relationship between impulsivity and treatment with valproate [38] as well as antipsychotics [37]. These inconsistencies might reflect differences in the conceptualization of impulsivity, distinct characteristics of the patient populations, or pharmacological heterogeneity within the medication groups [72].
We tested the hypothesized associations between immune signaling and impulsivity across a broad spectrum of impulsivity levels, including impulsivity variance among healthy participants. While the current study captured elevated impulsivity across BD and SCZ disorders, no significant associations to the immune marker levels independent of diagnostic status were detected. This result is in contrast to earlier findings of links between the plasma level of the chemokine RANTES and impulsivity in individuals with alcohol dependence [20] and changes in impulsivity in rodents [22]. The rodent model of impulsivity has also shown parallel reductions in plasma IL-1β and impulsivity [22], but we found no corresponding associations between systemic signaling within IL-1 family, as reflected by IL-1RA, and impulsivity in the present study. Moreover, circulating levels of sTNFR1 were not significantly associated with impulsivity, in contrast to previous findings of a positive association between circulating TNF mRNA levels and impulsivity among individuals with suicidal behavior [21]. These disparities may indicate a relationship specific to certain populations, characterized by high substance use, suicide risk, or other distinct clinical features. Since some key immune markers such as IL-1β or TNF often circulate at levels just above the detection limit of commercially available assays and have relatively short biological half-life, we assessed the activity of IL-1 and TNF systems by using robust markers that are known to reflect the activity of these systems (i.e., sTNFR1, IL-1RA, IL-18, and IL-18BP) [25, 26]. However, the observed discrepancy may also be due to disparate sources (e.g., leukocytes, activated vascular endothelium, or fibroblasts) and expression patterns of these immune markers.
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One of the strengths of the present study is a large well-characterized sample, which facilitated well-powered analyses of impulsivity levels across diagnostic categories and enabled the focus on associations with psychopharmacological treatment. Moreover, with a hypothesis-driven approach, we investigated candidate immune markers that have emerged across the clinical and experimental research fields. The current study should, however, be interpreted in light of its limitations. The cross-sectional observational design prevents inferences about causal directions, and the effects of confounding factors cannot be ruled out. We only studied one single measure of impulsivity (i.e., the total score of the BIS-11), which may not fully reflect the multifaceted construct of impulsivity [7]. Given the focus on individual candidate immune markers, investigation of the complex interplay within components of the immune system was outside the scope of the current study. Further, participants in the patient group had their blood drawn earlier in the day than healthy participants, which might potentially impact the results due to circadian variations in immune marker levels. However, the analyses were adjusted for diagnostic group. Moreover, degradation of some analytes before freezing of the samples cannot be dismissed. Furthermore, we used the prescribed dose of psychotropic medication as a proxy of the exposure to the psychotropic agent and thus were not able to account for possible pharmacokinetic influences or treatment non-compliance. Finally, the reduced sample sizes in the follow-up analyses of separate diagnostic groups challenge interpretation of the follow-up results and call for future investigations in larger homogenous samples.
Conclusions
We show elevated impulsivity across BD and SCZ disorders but no significant associations between impulsivity and circulating immune markers within TNF and IL-1 superfamilies or RANTES. Interestingly, we found a significant negative relationship between impulsivity and lithium and a positive association with antidepressant treatment. Future investigations in clinical settings are warranted to determine the causal mechanisms of the observed associations between lithium and antidepressants and impulsivity.
Acknowledgements
The authors would like to thank the study participants for their valuable contribution, the staff members at NORMENT for data acquisition, and Department of Medical Biochemistry at Oslo University Hospital for analyzing the serum C-reactive protein.
Declarations
Ethics approval and consent to participate
The work was carried out in accordance with the Declaration of Helsinki, and all participants have given written informed consent. The TOP study is approved by the Regional Ethics Committee, the Norwegian Directorate of Health, and the Norwegian Data Protection Authority.
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Consent for publication
Not applicable. The current study does not display any individual person’s data.
Competing interests
OAA is a consultant for HealthLytix and received speaker's honorarium from Lundbeck and Sunovion. All the other authors declare that they have no competing interests.
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Impulsivity across severe mental disorders: a cross-sectional study of immune markers and psychopharmacotherapy
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