ArticleMetabolic brain disease2019
Supervised machine learning to decipher the complex associations between neuro-immune biomarkers and quality of life in schizophrenia.
Article in Metabolic brain disease, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 46 citations in OpenAlex.
- The novel schizophrenia subgroup "major neurocognitive psychosis" is validated as a distinct class through the analysis of immune-linked neurotoxicity biomarkers and neurocognitive deficits.Brain, behavior, & immunity - health · 2024Article
- Building Predictive Models for Schizophrenia Diagnosis with Peripheral Inflammatory Biomarkers.Biomedicines · 2023Article
- Post-acute (long) COVID-19 quality of life: validation of the German version of (PAC19QoL) instrument.Frontiers in public health · 2023Article
- Tryptophan catabolites, inflammation, and insulin resistance as determinants of chronic fatigue syndrome and affective symptoms in long COVID.Frontiers in molecular neuroscience · 2023Article
- In Schizophrenia, the Effects of the IL-6/IL-23/Th17 Axis on Health-Related Quality of Life and Disabilities Are Partly Mediated by Generalized Cognitive Decline and the Symptomatome.International journal of environmental research and public health · 2022Article
- Lowered Quality of Life in Long COVID Is Predicted by Affective Symptoms, Chronic Fatigue Syndrome, Inflammation and Neuroimmunotoxic Pathways.International journal of environmental research and public health · 2022Article
- Precision Nomothetic Medicine in Depression Research: A New Depression Model, and New Endophenotype Classes and Pathway Phenotypes, and A Digital Self.Journal of personalized medicine · 2022Article
- Intersections between pneumonia, lowered oxygen saturation percentage and immune activation mediate depression, anxiety, and chronic fatigue syndrome-like symptoms due to COVID-19: A nomothetic network approach.Journal of affective disorders · 2022Article
- A Study of the Recent Trends of Immunology: Key Challenges, Domains, Applications, Datasets, and Future Directions.Sensors (Basel, Switzerland) · 2021Review
- Inflammatory and Oxidative Pathways Are New Drug Targets in Multiple Episode Schizophrenia and Leaky Gut, Klebsiella pneumoniae, and C1q Immune Complexes Are Additional Drug Targets in First Episode Schizophrenia.Molecular neurobiology · 2021Article
- In schizophrenia, non-remitters and partial remitters to treatment with antipsychotics are qualitatively distinct classes with respect to neurocognitive deficits and neuro-immune biomarkers: results of soft independent modeling of class analogy.Metabolic brain disease · 2021Article
- How to construct neuroscience-informed psychiatric classification? Towards nomothetic networks psychiatry.World journal of psychiatry · 2021Review
- Chronic fatigue syndrome and fibromyalgia-like symptoms are an integral component of the phenome of schizophrenia: neuro-immune and opioid system correlates.Metabolic brain disease · 2021Article
- How to Construct a Bottom-Up Nomothetic Network Model and Disclose Novel Nosological Classes by Integrating Risk Resilience and Adverse Outcome Pathways with the Phenome of Schizophrenia.Brain sciences · 2020Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Stable phase schizophrenia is characterized by altered patterning in tryptophan catabolites (TRYCATs) and memory impairments, which are associated with PHEMN (psychosis, hostility, excitation, mannerism and negative) and DAPS (depression, anxiety and physio-somatic) symptoms. This study was carried out to examine the association between TRYCAT patterning, memory impairments, psychopathological features and health-related quality of life (HR-QoL) in schizophrenia. The World Health Organization (WHO) QoL instrument-Abbreviated version (WHO-QoL-BREF), IgA/IgM responses to TRYCATs, cognitive tests, Scale for the Assessment of Negative Symptoms (SANS), Hamilton and Depression (HAMD) and Anxiety (HAMA) Rating Scales and the Fibromyalgia and Chronic Fatigue Syndrome Rating Scale (FF) were measured in 80 schizophrenia patients and 40 controls. Neural Network analysis shows that the total HR-Qol score is best predicted by (in descending order) HAMA, FF, HAMD, and psychosis. Partial least Squares (PLS) analysis shows that 56.7% of the variance in the WHO-QoL scores is explained by PHEMN / DAPS symptoms, while 64.3% of the variance in those symptoms is explained by TRYCAT patterning and episodic/semantic memory impairments. IgA responses to picolinic acid, xanthurenic acid and 3-hydroxy-kynurenine (all negatively) and anthranilic acid (positively) have highly significant indirect effects on WHO-QoL scores, which are completely mediated by cognitive impairments and PHEMN / DAPS symptoms. The results show that lowered HR-Qol in schizophrenia is strongly associated with noxious TRYCATs and that these effects are mediated by impairments in episodic / semantic memory and schizophrenia phenomenology, especially physio-somatic and anxiety symptoms. Mucosal activation of the TRYCAT pathway combined with a deficit in natural IgM isotype antibodies to TRYCATs determine cognitive impairments and DAPS/PHEMN symptoms, which together determine to a large extent lowered HR-QoL in schizophrenia.
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