Predicting incident cardio-metabolic disease among persons with and without depressive and anxiety disorders: a machine learning approach

Social Psychiatry and Psychiatric Epidemiology, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 18, 2025

Language: Английский

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Key factors underpinning neuroimmune-metabolic-oxidative (NIMETOX) major depression in outpatients: paraoxonase 1 activity, reverse cholesterol transport, increased atherogenicity, protein oxidation, and differently expressed cytokine networks.

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2025, Volume and Issue: unknown

Published: March 3, 2025

Abstract Background Major depressive disorder (MDD) is associated with neuro-immune – metabolic oxidative (NIMETOX) pathways. Aims To examine the connections among NIMETOX pathways in outpatient MDD (OMDD) and without syndrome (MetS); to determine prevalence of aberrations a cohort OMDD patients. Methods We included 67 healthy controls 66 patients we assessed various Results successfully identified subgroup individuals pathways, including diminished lecithin-cholesterol acyltransferase (LCAT), paraoxonase 1 (PON1) activity, reverse cholesterol transport (RCT) activities, elevated atherogenicity, differentially expressed immune networks, advanced oxidation protein products (AOPP). A large part variance (around 44%) atherogenicity indices was AOPP, fasting blood glucose (FBG), PON1 activation. LCAT activity positively correlated negatively FBG, AOPP RCT related R/R 192 genotype FBG larger overall severity (50.4%), suicidal behaviors (27.7%), neuroticism (42.1%) adverse childhood experiences immune-related neurotoxicity, insulin, inversely neuroprotection. Conclusions Many (78.8%) show The features OMDD, illness, neuroticism, behaviors, are caused by intertwined that may exert additional effects depending on whether MetS present or not.

Language: Английский

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A multimodal approach to depression diagnosis: insights from machine learning algorithm development in primary care

European Archives of Psychiatry and Clinical Neuroscience, Journal Year: 2025, Volume and Issue: unknown

Published: March 10, 2025

Abstract General practitioners play an essential role in identifying depression and are often the first point of contact for patients. Current diagnostic tools, such as Patient Health Questionnaire-9, provide initial screening but might lead to false positives. To address this, we developed a two-step machine learning model called Clinical 15 , trained on cohort 581 participants using nested cross-validation framework. The integrates self-reported data from validated questionnaires within study sample patients presenting general practitioners. demonstrated balanced accuracy 88.2% incorporates traffic light system: green healthy, red depression, yellow uncertain cases. Gaussian mixture clustering identified four subtypes, including Immuno-Metabolic cluster characterized by obesity, low-grade inflammation, autonomic nervous system dysregulation, reduced physical activity. algorithm all immuno-metabolic depressed, although 22.2% (30.8% across whole dataset) were categorized uncertain, leading light. biological characterization monitoring their clinical course may be used differential risk stratification future. In conclusion, provides highly sensitive specific tool support GPs diagnosing depression. Future improvements integrate further markers longitudinal data. tool’s utility needs evaluation through randomized controlled trial, which is currently being planned. Additionally, assessing whether actively algorithm’s predictions into treatment decisions will critical its practical adoption.

Language: Английский

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Post-traumatic stress disorder, metabolic syndrome, diabetic distress, and vitamin B1/benfotiamine

INTERNATIONAL NEUROLOGICAL JOURNAL, Journal Year: 2025, Volume and Issue: 21(1), P. 96 - 107

Published: March 20, 2025

A person with post-traumatic stress disorder (PTSD) is more likely to develop metabolic syndrome (MetS), depression, and diabetic distress. It also raises the risk of cardiometabolic neurodegenerative diseases (NDD). At same time, type 2 diabetes mellitus MetS can cause development core neurosis-like psychiatric symptoms characteristic PTSD. Chronic associated cardiovascular diseases, diabetes, NDD. More people think that mitochondrial dysfunction, peripheral/central chronic low-grade inflammation (CLGI), oxidative are main causes these diseases. Pathophysiological processes link them together. To make things better for patients, interventions aim control CLGI may be better, following ideas precision medicine. Deficiency certain biofactors, in particular, vitamin B1, an increased MetS, Targeted effects on CLGI, stress, metabolism disorders suggest use antioxidants, particularly B1/benfotiamine (BFT), have a positive effect not only course comorbid but manifestations Exogenous or BFT, corrects thiamine status disorders. BFT exhibits potent animal models NDD, stress-induced anxiety, aggression, depression. Thus, considered potentially safe cost-effective drug treatment many central nervous system Despite its aspects, therapeutic potential remains limited, as beneficial require high doses over long period time. Dibenzoylthiamine, lipophilic form has been shown anti-inflammatory antioxidant at much lower than both vitro vivo. However, preclinical clinical studies needed sure viability dibenzoylthiamine. This review pays extra attention analysis features biological role mechanism action, especially impact glucose function, state neuroinflammation, how dibenzoylthiamine protect neurons. We conducted search Scopus, Science Direct (from Elsevier), PubMed, MEDLINE databases. The keywords used were “thiamine”, “benfotiamine”, “dibenzoylthiamine”, “post-traumatic disorder”, “metabolic syndrome”, “diabetic distress”, “diabetes mellitus”. manual bibliography publications pinpoint research results eluded online search.

Language: Английский

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Designing clinical trials for an inflammatory subtype of major depression

Biological Psychiatry, Journal Year: 2025, Volume and Issue: unknown

Published: April 1, 2025

Language: Английский

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Temperature and Inflammation: Investigating the Impact of Short-Term Exposure to Ambient Temperature on Biomarkers of Subclinical Inflammation

Published: Jan. 1, 2025

Language: Английский

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