Anti-Neuronal Autoantibodies (Cell Surface and Onconeural) and Their Association With Natural Autoantibodies in Synthetic Cannabinoid-Induced Psychosis
1Department of Pediatrics, Clinical Centre, University of Pécs Medical School, Pécs, Hungary
2Department of Psychiatry and Psychotherapy, Clinical Center, University of Pécs Medical School, Pécs, Hungary
3Department of Immunology and Biotechnology, Clinical Center, University of Pécs Medical School, Pécs, Hungary
*Correspondence: Tamás Tényi tenyi.tamas@pte.huAbstract
Patients suffering from encephalitis may present psychiatric symptoms; however, the clinical relevance of anti-neuronal antibodies in patients experiencing a psychotic episode without encephalitis is still unclear. In this study, we examined the presence of anti-neuronal cell surface autoantibodies and onconeural autoantibodies in serum samples of 22 synthetic cannabinoid users presenting with psychosis. We found only two positive cases; however, seven patients had borderline results. Nonetheless, we found no significant correlation between anti-neuronal autoantibodies and the intensity of psychosis indicated by the Positive and Negative Syndrome Scale (PANSS) scores. The length of drug use and the combination of other drugs with synthetic cannabinoids have no significant effect on anti-neuronal autoantibody positivity. Nonetheless, the ratio of anti-citrate synthase (anti-CS) IgM and IgG natural autoantibodies was significantly lower (p = 0.036) in the anti-neuronal autoantibody-positive/borderline samples, than in the negative group. Interestingly, anti-CS IgM/IgG showed a significant negative correlation with PANSS-positive score (p = 0.04, r = −0.464). Our results demonstrated that anti-neuronal autoantibody positivity occurs in synthetic cannabinoid users, and the alteration of anti-CS IgM/IgG natural autoantibody levels points to immunological dysfunctions in these cases.
Introduction
The etiology of psychosis is complex and multifactorial; immunological hypothesis has recently become increasingly prominent in psychiatric research. Multiple studies have identified associations between infections or autoimmune diseases and psychotic disorders (1). The autoimmune neurological disease, N-methyl-D-aspartate (NMDA)-encephalitis, frequently occurs with symptoms characteristic of mental disease (2, 3). A systematic review showed that among patients who are treated with first episode psychosis, anti-neuronal antibodies, including anti-NMDA, were present at a higher rate than in controls (4). Other cell surface autoantibodies, such as voltage-gated potassium channel (VGKC) antibodies, are associated with limbic encephalitis along with insomnia, autonomic dysfunction, neuromyotonia, and cognitive dysfunction in a disease called Morvan syndrome (5). A case report suggests that an onconeural autoantibody, called anti-Yo antibody, might play a role in the induction of psychosis without paraneoplastic neurological syndrome (6). Several other anti-neuronal antibodies have been reported in patients with psychosis or in patients with encephalitis showing psychotic symptoms (7, 8). Therefore, autoantibodies directed against neuronal cell surface or intracellular antigens may have a probable role in mental diseases, especially in psychosis. Nonetheless, the clinical relevance of any of these autoantibodies in patients with psychosis without encephalitis is still not known. Natural antibodies are present in healthy individuals without prior antigenic stimulation, and also in patients with autoimmune diseases (9). Naturally occurring autoantibodies of the IgM isotype are thought to provide protection against autoimmune reactions associated with pathological autoantibodies. The level of natural IgG autoantibodies in sera is higher in patients with various diseases than in healthy individuals and they may represent a breakdown in central tolerance (10).
Synthetic cannabinoid receptor agonists (SCRAs) were synthetized in the 1960s to investigate possible therapeutic effects, and to study cannabinoid receptors (11). In the early 2000s, variations in SCRAs started to sell commercially, by the name “K2, Herbal, Spice, Mojo” and by many other names. They are popular among younger adults and teenagers, because they are cheap, “natural,” and undetectable during routine drug screening. SCRAs mostly have the same effect as tetrahydrocannabinol (THC), which can be found in marihuana. Several studies suggest the potential effect of SCRAs in the treatment of some psychiatric disorders. Medical cannabis and synthetic cannabinoids, both acting on the endocannabinoids system, may have a potential therapeutic use for improving posttraumatic stress disorder (PTSD) and schizophrenia symptoms or inhibit pain (12, 13). Most studies emphasize the immunosuppressive effect of THC and cannabidiol (CBD) (14, 15). Moreover, THC and CBD are currently being investigated as potential therapeutic agents for several inflammatory or autoimmune diseases. However, a few studies suggest their proinflammatory effect in the brain (15). Similar to THC SCRAs bind to cannabinoid receptor 1 (CB1) and to cannabinoid receptor 2 (CB2) and stimulate CB1 more than CB2. CB1 are found in the central nervous system, especially in the cerebral cortex, hippocampus, cerebellum, and basal ganglia. CB2 are mostly expressed by immune (macrophage and B cells) and hematopoietic cells; thus, stimulation of CB2 has immunomodulatory effects (11, 16). CB2 seems to play an important role in the immune mechanism in the central nervous system (17). Several case reports suggest that cannabis can cause vasculitis both in peripheral arteries and in the central nervous system by autoimmune reactions (18–20). THC exposure during adolescence also resulted in a persistent neuroinflammatory state in adult female rats and mice, characterized by altered microglia morphologic structure, increased proinflammatory mediators, reduced CB1, and increased CB2 (21). A few case reports show that SCRA users can develop autoimmune disease (22, 23). The study by Parajuli et al. represents a case about a drug-induced posterior reversible encephalopathy syndrome (PRES) after K2 consumption (a type of SCRAs); besides, the autoimmune mechanism of a toxic origin can be found in the background of PRES (24). Furthermore, in our previous study, we reported the case of a teenager who used SCRA and was diagnosed with NMDA encephalitis (16). However, the relationship between the use of SCRAs and the presence of anti-neuronal antibodies was not investigated in detail. Consequently, the main purpose of this study was to find correlations between anti-neuronal antibodies and the intensity of psychosis indicated with Positive and Negative Syndrome Scale (PANSS) score in SCRA users. Further aim was to search for possible associations between natural autoantibodies and anti-neuronal autoantibodies with possible relevance to the assessment of the severity of drug-induced psychosis.
Methods
Patients
The study is based on the data of 22 patients with suspected SCRAs-induced psychosis (Table 1). All the patients underwent a comprehensive psychiatric evaluation and assessment of acute psychotic exacerbation of PANSS. Inclusion criteria were as follows: psychosis after using SCRAs, adolescents and young adults (age between 13 and 32 years), normal serum electrolytes, blood counts, kidney, and liver function, and signed written informed consent form. General exclusion criteria were the diagnosis of schizophrenia, schizoaffective psychosis, bipolar disorder, autoimmune disorders, and ongoing infection. The study was approved by the Regional Clinical Research Committee (5951-PTE2015). Peripheral blood was collected and allowed to clot for at least 30 min before centrifugation for 10 min at 1,000 × g. Serum was removed and stored at −80°C until performing the tests for determination of autoantibodies.
| Characteristics | Synthetic cannabinoid users (n = 22) |
|---|---|
| Age (years), mean (SD) | 17 (4.9) |
| Sex (male), n (%) | 19 (86.4%) |
| Family history (positive for addiction), n (%) | 5 (22.7%) |
| Polytoxicomania (yes), n (%) | 9 (40.9%) |
| Drug use (month), mean (SD) | 23.8 (23.5) |
| PANSS total, mean (SD) | 55 (18) |
| PANSS general, mean (SD) | 32.6 (8.7) |
| PANSS positive, mean (SD) | 11.7 (7.6) |
| PANSS negative, mean (SD) | 11.1 (5.5) |
Detection of Anti-Neuronal Autoantibodies
The anti-neuronal autoantibodies were detected either with indirect immunofluorescence or immunoblot techniques. IgG antibodies directed against neuronal cell surface antigens, including N-methyl-D-aspartate-type glutamate receptor (NMDA), alpha-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid receptor (AMPA1, AMPA2), contactin-associated protein 2 (CASPR2), leucine-rich glioma-inactivated protein 1 (LGI1), and gamma- aminobutyric acid beta receptor (GABA B receptor), were detected simultaneously using a biochip mosaic of transfected HEK293 cells expressing these six antigens of interest (Autoimmune Encephalitis Mosaic 1; Euroimmun, Lübeck, Germany). Samples were classified as positive, borderline, or negative based on the fluorescence intensity of the transfected cells. Onconeural antibodies (IgG antibodies targeting intracellular antigens), namely, glutamic acid decarboxylase-65 (GAD65), collapsin response mediator protein 5/crossveinless-2 (CV2), type 1 anti-neuronal nuclear antibody (ANNA-1, Hu), Ri, Yo, Ma2/Ta, zinc finger protein 4 (ZIC4), amphiphysin (Amp), recovering (Rec), titin, sry-like high mobility groupbox protein1 (SOX1), and Tr/delta notch-like epidermal growth factor-related receptor (DNER), were determined using EUROLINE paraneoplastic neurologic syndromes 12 Ag test (Euroimmun, Lübeck, Germany). For the evaluation of the test strips, the recommended EUROLineScan software was used, which automatically identifies the bands on the test strip and measures their intensity. Based on the intensity of the bands, the result of the autoantibody test can be negative, borderline, or positive.
Measurement of Natural Autoantibodies
We have previously shown that antibodies directed against citrate synthase belong to the pool of natural autoantibodies (9). The levels of anti-citrate synthase (anti-CS) IgM and IgG autoantibodies were determined with an in-house ELISA, as previously described (9). Briefly, 96-well polystyrene plates were coated with 100 μl of 5 μg/ml citrate synthase from porcine heart (Sigma, St Louis, MO, USA) at 4–8°C overnight. Following the saturation of nonspecific binding sites, serum samples were incubated in duplicate at 1:100 dilution for 1 h at room temperature. Finally, the plate was incubated with horseradish peroxidase (HRP)-conjugated anti-human IgM or IgG-specific antibodies (Dako, Glostrup, Denmark) for 1 h at room temperature; the reaction was developed with TMB and measured at 450 nm, using an iEMS MF microphotometer (Thermo Labsystem, Beverly MA, USA).
Statistical Analysis
Statistical evaluation was performed with SPSS v. 27.0 statistics package (IBM, Armonk, NY, USA). Continuous variables were compared with the Mann-Whitney U test; Fischer's exact test was used to find the difference between categorical variables. Relationship between continuous variables was assessed with Spearman correlation. A p < 0.05 was considered significant.
Results
Samples of eight of the 22 patients (36.4%) had positive or borderline results for anti-neuronal autoantibodies. One patient (4.5%) was positive for the antibody against CASPR2 from the neuronal cell surface antigens. One patient (4.5%) showed anti-AMP positivity, and six patients (27.3%) had a borderline result for other onconeural antibodies targeting Rec, Yo, Hu, SOX1, and Tr. None of these patients received a diagnosis of autoimmune encephalitis (Table 2).
| Age and sex | Previous history of psychiatric disorders | Duration of drug use (in months) | Substances | Cell surface antigens | Onconeural antigens | PANSS positive | PANSS negative | PANSS general | PANSS total |
|---|---|---|---|---|---|---|---|---|---|
| 15, male | – | 48 | SCRA | negative | Yo borderline | 9 | 10 | 22 | 41 |
| 16, male | 1 | 6 | SCRA | negative | Rec borderline | 7 | 7 | 25 | 39 |
| 17, male | – | 9 | SCRA | negative | negative | 7 | 27 | 46 | 80 |
| 16, male | – | 3 | SCRA | negative | Hu borderline | 7 | 7 | 32 | 46 |
| 15, male | – | – | SCRA, other NPS | negative | Tr borderline | 26 | 13 | 54 | 93 |
| 17, male | – | – | SCRA | negative | SOX1 borderline | 7 | 7 | 31 | 45 |
| 15, male | – | 3 | SCRA | negative | negative | 10 | 7 | 34 | 51 |
| 13, female | 2 | <1 | SCRA | negative | negative | 7 | 11 | 32 | 50 |
| 17, female | 3 | 60 | SCRA | negative | negative | 7 | 7 | 26 | 40 |
| 16, male | 3 | 48 | SCRA, NC, LSD, other NPS, MDMA, amphetamine | negative | Amp positive | 7 | 14 | 35 | 56 |
| 17, male | 3 | 3 | SCRA, NC | negative | negative | 7 | 7 | 34 | 48 |
| 15, female | 4 | 4 | SCRA | negative | negative | 7 | 7 | 22 | 36 |
| 17, male | – | <1 | SCRA | negative | negative | 7 | 10 | 32 | 49 |
| 15, male | 3 | 24 | SCRA | negative | negative | 7 | 7 | 28 | 42 |
| 13, male | 1 | 18 | SCRA | negative | negative | 7 | 7 | 32 | 46 |
| 14, male | 5 | 60 | SCRA, cocaine, other NPS | negative | Rec borderline | 7 | 13 | 27 | 47 |
| 17, male | – | 60 | SCRA, amphetamine, NC | negative | negative | 23 | 8 | 32 | 63 |
| 15, male | 4 | 36 | SCRA, NC, MDMA, cocaine | negative | negative | 7 | 13 | 30 | 50 |
| 17, male | – | 60 | SCRA | negative | negative | 23 | 16 | 46 | 85 |
| 19, male | – | 8 | SCRA, BDZ | negative | negative | 24 | 19 | 41 | 84 |
| 32, male | 6 | 17 | SCRA, other NPS | negative | negative | 28 | 21 | 39 | 88 |
| 30, male | 7 | 6 | SCRA, cocaine, heroin, NC | CASPR2 positive | negative | 16 | 7 | 17 | 40 |
| Previous history of psychiatric disorders: | |||||||||
| 1. Attention deficit hyperactivity disorder | |||||||||
| 2. Emotional disorders with onset specific to childhood | |||||||||
| 3. Unspecified behavioral and emotional disorders with onset usually occurring in childhood and adolescence | |||||||||
| 4. Adjustment disorders | |||||||||
| 5. Mild mental retardation | |||||||||
| 6. Personality disorder, unspecified | |||||||||
| 7. Other acute and transient psychotic disorders | |||||||||
The clinical background of two interesting adolescent patients is presented, one with long-term drug use (for 4 years) and another with short-term drug use (for 6 months) (Table 3). Both patients are anti-neuronal antibody-positive or borderline cases.
| Case vignette 1 |
|---|
| Case 1 was a 16-year-old adolescent who had been using drugs for 4 years; previously, he had consumed different drugs. In the past period, he used synthetic cannabinoids; the last time when he used it was on the same day of admittance to hospital. His serum sample was positive for anti-AMP antibody. After his admission, he tried to escape many a times, and he was aggressive with the nurses. He had psychomotor agitation, acoustic hallucination, and had suicidal intention after using synthetic cannabinoids. He tried to stop using drugs but failed. |
| Case vignette 2 |
| Case 2 was a 16-year-old adolescent who had been using drugs for 6 months. He was adopted and started using synthetic cannabinoids when his foster mother died. He admitted not using drugs for 2 weeks. Anti-Rec antibody was borderline in his laboratory findings. He behaved aggressively due to substance use in the past months. He had burst of anger many a times against his mates, and he damaged the furniture in the orphanage. Once he threatened his classmate with an alarm gun. |
For statistical analyses, patients with positive and borderline results for anti-neuronal autoantibodies were considered as one group. We found no significant difference in PANSS-total, PANSS-positive, PANSS-negative, and PANSS-general scores between patients with positive/borderline and negative results. The length of drug use and the combination of other drugs with synthetic cannabinoids had no significant effect on anti-neuronal autoantibody positivity.
We also looked for alterations in the level of natural anti-CS IgM and IgG autoantibodies between patients with anti-neuronal autoantibody-positive/borderline and negative results. We found no significant differences neither in the level of anti-CS IgM (Figure 1A) nor in the level of anti-CS IgG antibodies (Figure 1B) between the anti-neuronal autoantibody-positive/borderline and the negative group; however, the level of anti-CS IgG showed a higher trend in patients with anti-neuronal autoantibody-positive/borderline results than in patients with negative results (Figure 1B). Therefore, we also analyzed the ratio of anti-CS IgM and IgG between these patient groups and found that it was significantly lower (p = 0.036) in the anti-neuronal autoantibody-positive/borderline group than in the negative group (Figure 1C). Next, we evaluated the possible associations between the number of anti-CS IgM, IgG antibodies, their ratio, and the severity of symptoms measured by PANSS-total, PANSS-positive, PANSS-negative, and PANSS-general scores. Interestingly, the ratio of anti-CS IgM and IgG showed a significant negative correlation with PANSS-positive score (p = 0.04, r = −0.464).
Discussion
The usage of recent designer drugs, including substituted cathinones (mephedrone, methylone, often called as “bath salts”), SCRAs and synthetic hallucinogens (N-bomb) expanded in the past decade, and they are well-known in the market, especially among the young population. Compound availability has changed rapidly, and it is hard to detect these substances on the routine urine drug test (25). The purchase via internet is cheap, as “legal high” promotes widespread use among adolescents. SCRA users are usually poorly educated and mostly males (25–27); in agreement with this, 86.4% of the patients in our study were males. Besides the stimulatory effect of these drugs, acute toxicity and psychosis may occur. Some toxicology reports highlighted the main presenting features being toxic psychosis and delirium (40%), agitation (10%), and hallucinations (4–7%) (25, 26, 28). SCRA users had higher levels of positive PANSS than THC users. Greater toxicity can be attributed to pharmacological features: SCRAs show 50–300 times greater affinity for the CB1 than THC and they are full agonists at CB1 (27). A report suggests that CB1 antagonist rimonabant could be a treatment option for the management of SCRA overdose (29). Rimonabant was used as an antiobesity drug, but it was withdrawn in Europe because of psychiatric side effects in 2008. Additional studies are required to apply for its possible application in other medical conditions. Cannabinoids can modulate immune reactions in the brain (17), and in our study, we found that 36.4% of the patients with SCRA-induced psychosis had a positive or borderline result for anti-neuronal autoantibodies. Among the autoantibodies against neuronal cell surface antigens, the one most commonly investigated is the anti-NMDA antibody. A recent study found anti-NMDA IgG in 8.6% patients suffering from schizophrenia, but interestingly, healthy controls showed an even higher rate (10.8%) of positivity (30, 31). However, none of the patients in our study had anti-NMDA antibody. LGI1 and CASPR2 antibodies are currently classified as VGKC complex antibodies and are commonly considered to have the same clinical significance (32). There are cases where anti-VGKC complex disease initially presented with schizophreniform psychiatric disease (33, 34). In our study, only one patient had a borderline result for the antibody against CASPR2. Onconeural antibodies were suggested to contribute to immunological alterations in patients with psychiatric disorders, but the literature on these antibodies in psychiatric diseases is scarce (21). Anti-Hu and anti-Yo antibodies were shown to induce neuronal and Purkinje-cell death in the hippocampal and cerebellar regions of rats (35–37). Case reports suggested that anti-Yo and anti-Ri onconeural antibodies may play a role in autoimmune processes in patients with psychiatric disease (6, 38, 39). Only one of our patients was positive for anti-Amp antibody, two patients had borderline result for anti-Rec, and four patients showed a borderline result for anti-Yo, anti-Hu, anti-SOX1, or anti-Tr antibodies. We did not find any significant correlations between anti-neuronal antibodies and the PANSS scores of the investigated patients, suggesting that anti-neuronal antibodies do not influence the severity of SCRA-induced psychosis. Neuroscientific studies have identified atypical dopamine activity in cannabis users, which therefore could underlie its association with psychosis in SCRA users (40). In our previous studies, we detected natural autoantibodies directed against CS in healthy individuals and patients with autoimmune diseases (9, 41, 42). Natural IgM autoantibodies are polyreactive; they recognize evolutionally conserved self-structures and serve as scavengers of damaged molecules and cells. They participate in the removal of apoptotic cells and maintain tissue homeostasis, and therefore, have been implicated in the control of inflammation and immunological balance (43–45). The majority of natural autoantibodies was originally thought to be of IgM isotype, but later, the presence of natural IgG autoantibodies was also described and their presence could be the result of an adaptive-like immune response (9, 42). Under pathological conditions, a compensatory increase in IgG antibodies with anti-idiotypic activity can occur (46), and previously, we found an elevated level of anti-CS IgG antibodies in patients with systemic lupus erythematosus positive for anti-dsDNA IgG (41). Consequently, the higher trend in anti-CS IgG level, which resulted in an decreased ratio of anti-CS IgM/IgG autoantibodies in patients with anti-neuronal autoantibody-positive/borderline results, may be a harbinger of autoimmune phenomena.
We can conclude that the presence of anti-neuronal autoantibodies in serum samples of patients acutely admitted to hospital with a psychotic episode induced by SCRAs abuse is not exceptional; however, routine screening for these antibodies is not likely to be informative in most cases. According to our results, testing for anti-neuronal antibodies in serum cannot be suggested for diagnostic purposes in patients using SCRA, as their detection has no therapeutic impact on these cases. Additional studies are required to check the presence of these antibodies in the cerebrospinal fluid (CSF). To our knowledge, this is the first study addressing the prevalence of anti-neuronal and natural autoantibodies among SCRA users. Our study has the limitation that healthy or other psychotic adolescent controls were not enrolled, but for a pediatric patient group, it is hard to find age-matched healthy volunteers with the permission of parents. Nevertheless, our aim was to investigate the relevance of anti-neuronal autoantibody positivity in SCRA users. Other limitation of this study was the negative result of urine and serum tests for synthetic cannabinoids. The clinical challenge of these substances is that the chemical variety makes monitoring difficult.
Data Availability Statement
The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.
Ethics Statement
The studies involving human participants were reviewed and approved by Regional Clinical Research Committee (5951-PTE2015). Written informed consent to participate in this study was provided by the participants' legal guardian/next of kin. Written informed consent was obtained from the individual(s), and minor(s)' legal guardian/next of kin, for the publication of any potentially identifiable images or data included in this article.
Funding
This study was supported by the János Bolyai Research Scholarship of the Hungarian Academy of Sciences, Hungarian National Brain Research Programme KTIA-13-NAP-A-II/12(2018-2022), ÚNKP-21-5 New National Excellence Program of the Ministry for Innovation and Technology from the source of the National Research, Development and Innovation Fund, and the National Excellence Program (FIKP-II) and by the Thematic Excellence Program 2020 (TKP2020)–Institutional Excellence Sub-program of the Ministry for Innovation and Technology in Hungary, within the framework of the second thematic program of the University of Pécs.
Conflict of Interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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