Benefits and Meaning of Lipids Profile in Relation to Oxidative Balance and Brain Morphology in Schizophrenia

Śmierciak, Natalia; Krzyściak, Wirginia; Szwajca, Marta; Karcz, Paulina; Bryll, Amira; Popiela, T; Donicz, Paulina; Turek, Aleksander; Aleksandrovych, Veronika; Pilecki, Maciej

doi:10.3390/ijms241411375

Cited by 3 publications

(1 citation statement)

References 65 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Inflammation sensitizes the HPA axis, disrupting the negative feedback loop and further promoting chronic inflammatory responses [53]. Ongoing peripheral inflammation exacerbates central inflammation (neuroinflammation) through several mechanisms, including disruption of the blood-brain barrier, transport of immune cells, and consequently activation of glial cells [101]. This chronic exposure to stress induces an increased level of cortisol in the blood, which is an etiological factor for the risk of inflammation of the nervous system and dominant negative symptoms in the studied group of patients.…”

Section: Correlation Analysis Of Lactates Glutamic Acid and Cortisol ...mentioning

confidence: 99%

Association of Blood Metabolomics Biomarkers with Brain Metabolites and Patient-Reported Outcomes as a New Approach in Individualized Diagnosis of Schizophrenia

Krzyściak,

Bystrowska,

Karcz

et al. 2024

IJMS

Self Cite

View full text Add to dashboard Cite

Given its polygenic nature, there is a need for a personalized approach to schizophrenia. The aim of the study was to select laboratory biomarkers from blood, brain imaging, and clinical assessment, with an emphasis on patients’ self-report questionnaires. Metabolomics studies of serum samples from 51 patients and 45 healthy volunteers, based on the liquid chromatography-electrospray ionization-mass spectrometry (LC-ESI-MS/MS), led to the identification of 3 biochemical indicators (cortisol, glutamate, lactate) of schizophrenia. These metabolites were sequentially correlated with laboratory tests results, imaging results, and clinical assessment outcomes, including patient self-report outcomes. The hierarchical cluster analysis on the principal components (HCPC) was performed to identify the most homogeneous clinical groups. Significant correlations were noted between blood lactates and 11 clinical and 10 neuroimaging parameters. The increase in lactate and cortisol were significantly associated with a decrease in immunological parameters, especially with the level of reactive lymphocytes. The strongest correlations with the level of blood lactate and cortisol were demonstrated by brain glutamate, N-acetylaspartate and the concentrations of glutamate and glutamine, creatine and phosphocreatine in the prefrontal cortex. Metabolomics studies and the search for associations with brain parameters and self-reported outcomes may provide new diagnostic evidence to specific schizophrenia phenotypes.

show abstract

Section: Correlation Analysis Of Lactates Glutamic Acid and Cortisol ...mentioning

confidence: 99%

Association of Blood Metabolomics Biomarkers with Brain Metabolites and Patient-Reported Outcomes as a New Approach in Individualized Diagnosis of Schizophrenia

Krzyściak,

Bystrowska,

Karcz

et al. 2024

IJMS

Self Cite

View full text Add to dashboard Cite

show abstract

From periphery immunity to central domain through clinical interview as a new insight on schizophrenia

Krzyściak,

Szwajca,

Śmierciak

et al. 2024

Sci Rep

View full text Add to dashboard Cite

Identifying disease predictors through advanced statistical models enables the discovery of treatment targets for schizophrenia. In this study, a multifaceted clinical and laboratory analysis was conducted, incorporating magnetic resonance spectroscopy with immunology markers, psychiatric scores, and biochemical data, on a cohort of 45 patients diagnosed with schizophrenia and 51 healthy controls. The aim was to delineate predictive markers for diagnosing schizophrenia. A logistic regression model was used, as utilized to analyze the impact of multivariate variables on the prevalence of schizophrenia. Utilization of a stepwise algorithm yielded a final model, optimized using Akaike’s information criterion and a logit link function, which incorporated eight predictors (White Blood Cells, Reactive Lymphocytes, Red Blood Cells, Glucose, Insulin, Beck Depression score, Brain Taurine, Creatine and Phosphocreatine concentration). No single factor can reliably differentiate between healthy patients and those with schizophrenia. Therefore, it is valuable to simultaneously consider the values of multiple factors and classify patients using a multivariate model.

show abstract

A preliminary metabolomics study of the database for biological samples of schizophrenia among Chinese ethnic minorities

Ye,

Chen,

Wang

et al. 2024

BMC Psychiatry

View full text Add to dashboard Cite

Background Schizophrenia (SCZ) is a profound mental disorder with a multifactorial etiology, including genetics, environmental factors, and demographic influences such as ethnicity and geography. Among these, the studies of SCZ also shows racial and regional differences. Methods We first established a database of biological samples for SCZ in China’s ethnic minorities, followed by a serum metabolomic analysis of SCZ patients from various ethnic groups within the same region using the LC-HRMS platform. Results Analysis identified 47 metabolites associated with SCZ, with 46 showing significant differences between Miao and Han SCZ patients. These metabolites, primarily fatty acids, amino acids, benzene, and derivatives, are involved in fatty acid metabolism pathways. Notably, L-Carnitine, L-Cystine, Aspartylphenylalanine, and Methionine sulfoxide demonstrated greater diagnostic efficacy in Miao SCZ patients compared to Han SCZ patients. Conclusion Preliminary findings suggest that there are differences in metabolic levels among SCZ patients of different ethnicities in the same region, offering insights for developing objective diagnostic or therapeutic monitoring strategies that incorporate ethnic considerations of SCZ.

show abstract

Benefits and Meaning of Lipids Profile in Relation to Oxidative Balance and Brain Morphology in Schizophrenia

Cited by 3 publications

References 65 publications

Association of Blood Metabolomics Biomarkers with Brain Metabolites and Patient-Reported Outcomes as a New Approach in Individualized Diagnosis of Schizophrenia

Association of Blood Metabolomics Biomarkers with Brain Metabolites and Patient-Reported Outcomes as a New Approach in Individualized Diagnosis of Schizophrenia

From periphery immunity to central domain through clinical interview as a new insight on schizophrenia

A preliminary metabolomics study of the database for biological samples of schizophrenia among Chinese ethnic minorities

Contact Info

Product

Resources

About