Abstract
There is now evidence that schizophrenia and deficit schizophrenia are neuro-immune conditions and that oxidative stress toxicity (OSTOX) may play a pathophysiological role. Aims of the study: to compare OSTOX biomarkers and antioxidant (ANTIOX) defenses in deficit versus non-deficit schizophrenia. We examined lipid hydroperoxides (LOOH), malondialdehyde (MDA), advanced oxidation protein products (AOPP), sulfhydryl (–SH) groups, paraoxonase 1 (PON1) activity and PON1 Q192R genotypes, and total radical-trapping antioxidant parameter (TRAP) as well as immune biomarkers in patients with deficit (n = 40) and non-deficit (n = 40) schizophrenia and healthy controls (n = 40). Deficit schizophrenia is characterized by significantly increased levels of AOPP and lowered –SH, and PON1 activity, while no changes in the OSTOX/ANTIOX biomarkers were found in non-deficit schizophrenia. An increased OSTOX/ANTIOX ratio was significantly associated with deficit versus non-deficit schizophrenia (odds ratio = 3.15, p < 0.001). Partial least squares analysis showed that 47.6% of the variance in a latent vector extracted from psychosis, excitation, hostility, mannerism, negative symptoms, psychomotor retardation, formal thought disorders, and neurocognitive test scores was explained by LOOH+AOPP, PON1 genotype + activity, CCL11, tumor necrosis factor (TNF)-α, and IgA responses to neurotoxic tryptophan catabolites (TRYCATs), whereas –SH groups and IgM responses to MDA showed indirect effects mediated by OSTOX and neuro-immune biomarkers. When overall severity of schizophrenia increases, multiple immune and oxidative (especially protein oxidation indicating chlorinative stress) neurotoxicities and impairments in immune-protective resilience become more prominent and shape a distinct nosological entity, namely deficit schizophrenia. The nomothetic network psychiatry approach allows building causal-pathway-phenotype models using machine learning techniques.
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Abbreviations
- Th:
-
T helper
- TRYCATs:
-
Tryptophan catabolites
- IRS:
-
Immune-inflammatory response system
- CIRS:
-
Compensatory immune regulatory system
- IL:
-
Interleukin
- sIL-1RA:
-
Soluble IL-1 receptor antagonist
- TNF:
-
Tumor necrosis factor
- PHEMN:
-
Psychosis, hostility, excitation, mannerism, negative symptoms
- PA:
-
Picolinic acid
- XA:
-
Xanthurenic acid
- OSE:
-
Oxidative-specific epitopes
- MDA:
-
Malondialdehyde
- PON:
-
Paraoxonase
- O&NS:
-
Oxidative and nitrosative stress
- LOOH:
-
Lipid hydroperoxides
- NOx:
-
Nitric oxide metabolites
- TRAP:
-
Radical-trapping antioxidant parameter
- AOPP:
-
Advanced oxidation protein products
- –SH:
-
Thiol groups
- SDS:
-
Schedule for Deficit Schizophrenia
- PANSS:
-
Positive and Negative Syndrome Scale
- SANS:
-
Scale for the Assessment of Negative Symptoms
- PMR:
-
Psychomotor retardation
- FTD:
-
Formal thought disorders
- CERAD:
-
Consortium to Establish a Registry for Alzheimer’s Disease
- CANTAB:
-
Cambridge Neuropsychological Test Automated Battery
- WLM:
-
World List Memory test
- VFT:
-
Verbal Fluency Test
- MMSE:
-
Mini-Mental State Examination
- SWM:
-
Spatial working memory
- TUD:
-
Tobacco use disorder
- BMI:
-
Body mass index
- CMPA:
-
4-(Chloromethyl)phenyl acetate
- AREase:
-
Arylesterase
- 3OSTOX:
-
Oxidative stress toxicity index
- 3ANTIOX:
-
Antioxidant index
- 3OHK:
-
3-OH-kynurenine
- AA:
-
Anthranilic acid
- KA:
-
Kynurenic acid
- NOX/PRO:
-
Noxious/protective ratio
- 4PRORESIL:
-
Index of protective resilience against neuro-immune, neuro-oxidative, and bacterial stressors
- 8MITOTOX:
-
Index of multiple immune and oxidative toxicities
- GLM:
-
Generalized linear model
- FDR:
-
False discovery rate
- PLS:
-
Partial least squares
- AVE:
-
Average extracted variance
- LV:
-
Latent vector
- OSOS:
-
Overall severity of schizophrenia
- CTD:
-
Confirmatory tetrad analysis
- NNP:
-
Nomothetic network psychiatry
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Acknowledgements
We are thankful for the contribution of the Postgraduate Laboratory of the University Hospital of Londrina and research support given by Asahi Glass Foundation, Chulalongkorn University Centenary Academic Development Project and Ratchadapiseksompotch Funds, Faculty of Medicine, Chulalongkorn University.
Authorships
BK and MM made the design of the study. BK recruited and screened the participants. MM performed statistical analyses. AKM, APM, LOS, JVLP, EGM, SS, and DSB performed the assays. AFC and MS contributed in a meaningful way to the intellectual content of this paper. All authors agreed upon the final version of the paper.
Funding
The study was supported by the Asahi Glass Foundation, Chulalongkorn University Centenary Academic Development Project and Ratchadapiseksompotch Funds, Faculty of Medicine, Chulalongkorn University, grant numbers RA60/042 (to BK) and RA61/050 (to MM).
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The study was approved by the Institutional Review Board of the Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand (No 298/57), which is in compliance with the International Guideline for Human Research protection as required by the Declaration of Helsinki, The Belmont Report, CIOMS Guideline, and International Conference on Harmonization on Good Clinical Practice (ICH-GCP).
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Maes, M., Sirivichayakul, S., Matsumoto, A.K. et al. Lowered Antioxidant Defenses and Increased Oxidative Toxicity Are Hallmarks of Deficit Schizophrenia: a Nomothetic Network Psychiatry Approach. Mol Neurobiol 57, 4578–4597 (2020). https://doi.org/10.1007/s12035-020-02047-5
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DOI: https://doi.org/10.1007/s12035-020-02047-5