Biomarkers Related to the Hypotheses of the Pathophysiology of Schizophrenia Spectrum Disorders DOI

Margareth Borges Coutinho Gallo

Published: Jan. 1, 2024

Schizophrenia spectrum disorders (SSD) represent a multidimensional and severe mental illness, characterized by abnormalities spanning molecular processes dysregulated pathways. The pursuit of effective biomarkers for aiding in the diagnosis this complex disorder has unfolded over past century. In chapter, author conducts thorough review aimed at scrutinizing metabolic selected last 12 years (2011–2023) development diagnostic models SSD, assessed through receiver operating characteristic (ROC) curve analysis. study encompasses 32 articles, comprising data from 2800 SSD patients. assessment using yielded area under (AUC) values ranging 71% to 100%. It is noteworthy that 34% articles omitted presentation goodness-of-fit model predictability values. instances where these were provided, some did not consistently align with excellent performance suggested AUC; instead, they often indicated overfitting model. Nevertheless, out 84 metabolites originated studies subjected enrichment analysis, 19 significantly matched disease signature (FDR 1.51E-30). These findings underscore complexity landscape importance comprehensive evaluation performance.

Language: Английский

Prediction of treatment response in drug-naïve schizophrenia patients from the perspective of targeted metabolomics DOI
Shuo Wang, Yeqing Dong, Yuying Qiu

et al.

Schizophrenia Research, Journal Year: 2025, Volume and Issue: 278, P. 9 - 16

Published: March 12, 2025

Language: Английский

Citations

0
Discovery of biological markers for schizophrenia based on metabolomics: a systematic review DOI Creative Commons

Gaolei Yao,

Jingchun Zeng, Yuan Huang

et al.

Frontiers in Psychiatry, Journal Year: 2025, Volume and Issue: 16

Published: March 28, 2025

To discover biomarkers for schizophrenia (SCZ) at the metabolomics level, we registered this systematic review (CRD42024572133 (https://www.crd.york.ac.uk/PROSPERO/home)) including 56 qualified articles, and identified characteristics of metabolites, metabolite combinations, metabolic pathways associated with SCZ. Our findings showed that decreased arachidonic acid, arginine, aspartate levels, increased levels glucose 6-phosphate glycylglycine were onset Metabolites such as carnitine methionine sulfoxide not only helped to identify SCZ in Miao patients, but also different between patients Han patients. The decrease benzoic acid betaine increase creatine notable first-episode (FESCZ). combination formed by metabolites methylamine, dimethylamine other had best diagnostic effect. Arginine proline metabolism arginine biosynthesis a clear advantage identifying acute Butanoate played an important role SCZ, toxoplasma infection comorbidity. Biosynthesis unsaturated fatty acids was significantly enriched diagnosis treatment This study summarizes current progress clinical metabolomic research related deepens understanding pathogenesis lays foundation subsequent on SCZ-related metabolites. https://www.crd.york.ac.uk/PROSPERO/home, identifier CRD42024572133.

Language: Английский

Citations

0
Peripheral Lipid Signatures, Metabolic Dysfunction, and Pathophysiology in Schizophrenia Spectrum Disorders DOI Creative Commons
Sally Wu,

Kristoffer Panganiban,

Jiwon Lee

et al.

Metabolites, Journal Year: 2024, Volume and Issue: 14(9), P. 475 - 475

Published: Aug. 28, 2024

Metabolic dysfunction is commonly observed in schizophrenia spectrum disorders (SSDs). The causes of metabolic comorbidity SSDs are complex and include intrinsic or biological factors linked to the disorder, which compounded by antipsychotic (AP) medications. exact mechanisms underlying SSD pathophysiology AP-induced unknown, but dysregulated lipid metabolism may play a role. Lipidomics, detects metabolites sample, represents an analytical tool examine metabolism. This systematic review aims determine peripheral signatures that among individuals with (1) minimal exposure APs (2) during AP treatment. To accomplish this goal, we searched MEDLINE, Embase, PsychINFO databases February 2024 identify all full-text articles written English where authors conducted lipidomics SSDs. Lipid reported significantly differ compared controls relation treatment direction dysregulation were extracted as outcomes. We identified 46 studies met our inclusion criteria. Most differed minimally AP-treated patients vs. comprised glycerophospholipids, mostly downregulated. In group controls, different primarily fatty acyls, conflicting directions between studies. pre-to-post patients, most impacted glycerophospholipids found be upregulated conflicting, respectively. These contribute through various mechanisms, including modulation inflammation, cellular membrane permeability, signaling pathways.

Language: Английский

Citations

1
Neurotransmitter Biomarkers DOI

Margareth Borges Coutinho Gallo

Published: Jan. 1, 2024

Schizophrenia spectrum disorders (SSD) are characterized as a multidimensional and severe mental illness, involving abnormalities at various levels, including molecular processes, brain structure, function. The complex pathophysiology of SSD arises from the interactive influence multiple factors rather than singular predominant element. This chapter presents comprehensive review spanning 12-year period (2011–2023) dedicated to scrutinizing studies focused on developing diagnostic models for utilizing neurotransmitter biomarkers, emphasizing assessment through receiver operating characteristic (ROC) analysis. screening process included 12 articles, 8 countries, around 1,000 patients. While several explored molecules associated with glutamatergic pathways, such glutamate GABA, their individual performance was found be moderate. Notably, model incorporating three components endocannabinoid system demonstrated an area under curve (AUC) 94%. A standalone agmatine yielded AUC 97%. cognitive domain predictor exhibited 92%, surpassing catecholamine panel (AUC 86%) in distinguishing patients healthy controls. These findings underscore complexity importance considering diverse factors, choice biomarkers contextual measurement, constructing more efficient models.

Language: Английский

Citations

0
Biomarkers Related to the Hypotheses of the Pathophysiology of Schizophrenia Spectrum Disorders DOI

Margareth Borges Coutinho Gallo

Published: Jan. 1, 2024

Schizophrenia spectrum disorders (SSD) represent a multidimensional and severe mental illness, characterized by abnormalities spanning molecular processes dysregulated pathways. The pursuit of effective biomarkers for aiding in the diagnosis this complex disorder has unfolded over past century. In chapter, author conducts thorough review aimed at scrutinizing metabolic selected last 12 years (2011–2023) development diagnostic models SSD, assessed through receiver operating characteristic (ROC) curve analysis. study encompasses 32 articles, comprising data from 2800 SSD patients. assessment using yielded area under (AUC) values ranging 71% to 100%. It is noteworthy that 34% articles omitted presentation goodness-of-fit model predictability values. instances where these were provided, some did not consistently align with excellent performance suggested AUC; instead, they often indicated overfitting model. Nevertheless, out 84 metabolites originated studies subjected enrichment analysis, 19 significantly matched disease signature (FDR 1.51E-30). These findings underscore complexity landscape importance comprehensive evaluation performance.

Language: Английский

Citations

0