| Literature DB >> 29593588 |
Tohru Ohnuma1, Shohei Nishimon1, Mayu Takeda1, Takahiro Sannohe1, Narimasa Katsuta1, Heii Arai1.
Abstract
This literature review primarily aims to summarize our research, comprising both cross-sectional and longitudinal studies, and discuss the possibility of using microinflammation-related biomarkers as peripheral biomarkers in the diagnosis and monitoring of patients with schizophrenia. To date, several studies have been conducted on peripheral biomarkers to recognize the potential markers for the diagnosis of schizophrenia and to determine the state and effects of therapy in patients with schizophrenia. Research has established a correlation between carbonyl stress, an environmental factor, and the pathophysiology of neuropsychiatric diseases, including schizophrenia. In addition, studies on biomarkers related to these stresses have achieved results that are either replicable or exhibit consistent increases or decreases in patients with schizophrenia. For instance, pentosidine, an advanced glycation end product (AGE), is considerably elevated in patients with schizophrenia; however, low levels of vitamin B6 [a detoxifier of reactive carbonyl compounds (RCOs)] have also been reported in some patients with schizophrenia. Another study on peripheral markers of carbonyl stress in patients with schizophrenia revealed a correlation of higher levels of glyceraldehyde-derived AGEs with higher neurotoxicity and lower levels of soluble receptors capable of diminishing the effects of AGEs. Furthermore, studies on evoked microinflammation-related biomarkers (e.g., soluble tumor necrosis factor receptor 1) have reported relatively consistent results, suggesting the involvement of microinflammation in the pathophysiology of schizophrenia. We believe that our cross-sectional and longitudinal studies as well as various previous inflammation marker studies that could be interpreted from several perspectives, such as mild localized encephalitis and microvascular disturbance, highlighted the importance of early intervention as prevention and distinguished the possible exclusion of inflammations in schizophrenia.Entities:
Keywords: AGEs; biomarkers; carbonyl stress; glyceraldehyde-derived AGEs; microinflammation; pentosidine; schizophrenia; soluble tumor necrosis factor receptor 1
Year: 2018 PMID: 29593588 PMCID: PMC5859354 DOI: 10.3389/fpsyt.2018.00082
Source DB: PubMed Journal: Front Psychiatry ISSN: 1664-0640 Impact factor: 4.157
Figure 1The assumed carbonyl stress and cytokine pathophysiology focused on TNF mechanism and their changes during the clinical course of patients with schizophrenia. (A) Carbonyl stress pathway. (B) Pentosidine between schizophrenia at admission and controls. Fourteen patients with high pentosidine levels (>2 SDs greater than the mean in controls) are indicated by an asterisk. Values were compared with the two-tailed Mann–Whitney U test. Error bars indicate mean and SDs (15). (C) Pyridoxal levels between schizophrenia at admission and controls. (D) Correlation between the changes (Δ) in pyridoxal levels and in total scores (left) and positive symptom scores (right) on the brief psychiatric rating scale among the paired patients who showed a decrease in pyridoxal levels (18 cases) according to the clinical course (15). (E) Glycer-AGE, (F) sRAGE, and (G) the Glycer-AGEs/sRAGE ratio are compared between patients with schizophrenia and controls (18). (H) Microinflammation pathway. (I) Soluble TNF receptor 1, (K) adiponectin, and (L) PEDF levels between schizophrenia at admission and controls (19). (M) Low anti-inflammatory state as preparatory state in schizophrenia. (J) Microinflammation process in schizophrenia (19). Abbreviations: RCOs, reactive carbonyl compounds; GLO1 and GLO2, glyoxalase enzymes, glyoxalase 1 and 2; Glycer-AGE, glyceraldehyde-derived AGE; sRAGE, soluble AGE receptors; TNF, tumor necrosis factor; NO, nitric oxide; TNF-α, tumor necrosis factor-α; TNFR1, tumor necrosis factor receptor 1; TNFR2, tumor necrosis factor receptor 2; PEDF, pigment epithelium-derived factor; TACE, tumor necrosis factor-α converting enzyme; sTNF-α, soluble tumor necrosis factor-α; sTNFR1, soluble TNF receptor 1; sTNFR2, soluble tumor necrosis factor receptor 2. Reprinted with some modifications from Ref. (15), Copyright (2014), with permission from Oxford University Press (license number; 4242240961739) (20), Copyright (2015), with permission from Elsevier (license number; 4241901371993), and (21), Copyright (2017), with permission from Elsevier (license number; 4241910166222).
Multiple linear regression analysis of possible explanatory variables for the serum pentosidine levels.
| Total | Poly | |||
|---|---|---|---|---|
| ( | ( | |||
| Independent variables: | β | β | ||
| Duration of education | – | – | – | – |
| Total BPRS score | – | – | – | – |
| Estimated duration of medication | 0.318 (0.139) | 0.197* | 0.900 (0.443) | 0.365* |
| Daily dose of antipsychotics | 0.012 (0.003) | 0.390*** | 0.014 (0.007) | 0.368* |
| Daily dose of antiparkinsonian drugs | – | – | – | – |
| Daily dose of anxiolytics | – | – | – | – |
| Constant | 32.0 | 16.2 | ||
| 0.195*** | 0.407*** | |||
Multiple linear regression analysis includes six possible explanatory variables for all 274 patients and for the polypharmacy treatment group. Statistical values of independent factors excluded from the first step of the equation are not shown. *.
BPRS, brief psychiatric rating scale; Poly, polypharmacy treatment group (treated with both types of antipsychotics; at least one of each); SE; standard error. Reprinted from Ref. (.