Objective Peripheral biomarker studies in schizophrenia are insufficient to correspond to whether inflammatory markers are trait- or state-related. The main objective of this study was to compare novel biomarkers C-reactive protein/albumin ratio (CAR), neutrophil/albumin ratio (NAR), and complete blood count-derived inflammatory markers; neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR), monocyte/lymphocyte ratio (MLR), red-cell distribution width (RDW), and mean platelet volume (MPV) between patients with acutely exacerbated and remitted schizophrenia and healthy controls.Methods Anonymous data of a total of 618 patients with schizophrenia (179 in remission, 439 with acute exacerbation) and 445 psychiatrically and medically healthy subjects admitted to outpatient units were included. One-way ANOVA with Tukey’s HSD post-hoc test, Pearson’s correlation test, receiver operating characteristic analysis, and binomial logistic regression analysis were performed.Results CAR, NAR, NLR, PLR, MLR, RDW, MPV values were found higher in patients with schizophrenia than in healthy subjects. Except for NAR (p=0.007), none of the markers differed between acute exacerbation and remission. As a cut-off value of CAR, 0.388 differentiated patients with schizophrenia from controls (sensitivity 81%, specificity 81%). CAR, NAR, and MPV significantly predicted the diagnosis of schizophrenia.Conclusion CAR and NAR are reliable biomarkers of inflammation and a combination of inflammatory markers including CAR and NAR could be used to reflect the increased inflammatory status in schizophrenia, regardless of relapse or remission.

The human blood proteome provides a holistic readout of health states through the assessment of thousands of circulating proteins. In this study, we present a pan-disease resource to enable the study of diverse disease phenotypes within a harmonized proteomics dataset. By profiling protein concentrations across 59 diseases and healthy cohorts, we identified proteins associated with age, sex, and body mass index, as well as disease-specific signatures. This study highlights shared and distinct protein patterns across conditions, demonstrating the power of a unified proteomics approach to uncover biological insights. The dataset, covering 8262 individuals and up to 5416 proteins, serves as an online resource for exploring disease-specific protein profiles and advancing precision medicine research.

(2017). 9th International Congress on Psychopharmacology & 5th International Symposium on Child and Adolescent Psychopharmacology. Psychiatry and Clinical Psychopharmacology: Vol. 27, 9th International Congress on Psychopharmacology & 5th International Symposium on Child and Adolescent Psychopharmacology Abstracts, pp. 85-180.

In this article, we have reviewed neuroimaging studies on the neural circuitry associated with suicidal behaviour in order to identify the neural substrates of suicidal behaviour. The Medline and ScienceDirect databases were comprehensively and systematically searched and articles published from 1990 through 2017 were reviewed. Reviewed brain-imaging modalities included structural magnetic resonance imaging, diffusion tensor imaging, positron-emission tomography, single-photon emission computed tomography, resting-state functional Imaging, and functional magnetic resonance imaging. Although subject characteristics and imaging methods vary across studies, convergent findings involving the structure and function of frontostriatal network and fronto-limbic structures, and the serotonergic system were identified. These neuroimaging studies of suicide behaviour have provided crucial information on the neural circuitry associated with suicide risk. Future studies examining neural changes associated with before and after pharmacologic and behavioural interventions would be instrumental in suicide risk reduction.

Comparison of the complete blood count-derived inflammatory markers in bipolar patients with manic and mixed episodes