Enhanced diagnosing patients suspected of sarcoidosis using a hybrid support vector regression model with bald eagle and chimp optimizers DOI Creative Commons
Guogang Xie,

Hani Attar,

Ayat Alrosan

et al.

PeerJ Computer Science, Journal Year: 2024, Volume and Issue: 10, P. e2455 - e2455

Published: Dec. 5, 2024

Searching for a reliable indicator of treatment response in sarcoidosis remains challenge. The use the soluble interleukin 2 receptor (sIL-2R) as measure disease activity has been proposed by researchers. A machine learning model was aimed to be developed this study predict sIL-2R levels based on patient's serum angiotensin-converting enzyme (ACE) levels, potentially aiding lung function evaluation. novel forecasting (SVR-BE-CO) prediction is introduced, which combines support vector regression (SVR) with hybrid optimization (BES-CO); composed Bald Eagle Optimizer (BES) and Chimp (CO) model. In model, hyper-parameters SVR are optimized BES-CO ultimately improving accuracy predicted values. SVR-BE-CO evaluated against various methods, including Hybrid Firefly Algorithm (SVR-FFA), decision tree (DT), Gray Wolf Optimization (SVR-GWO) random forest (RF). It demonstrated that surpasses all other methods terms accuracy.

Language: Английский

Simple dysmood disorder, a mild subtype of major depression, is not an inflammatory condition: Depletion of the compensatory immunoregulatory system DOI

Michael Maes,

Asara Vasupanrajit,

Ketsupar Jirakran

et al.

Journal of Affective Disorders, Journal Year: 2025, Volume and Issue: 375, P. 75 - 85

Published: Jan. 21, 2025

Language: Английский

Citations

1
Can working experience mitigate the safety risks of high sensation-seeking traits in railway drivers? The impact of working experience and sensation seeking on railway drivers' hazard perception DOI
Jinfei Ma, Jiahui Sun, Zhuo Shen

et al.

Personality and Individual Differences, Journal Year: 2025, Volume and Issue: 237, P. 113065 - 113065

Published: Jan. 25, 2025

Language: Английский

Citations

0
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. DOI Creative Commons
Michaël Maes, Ketsupar Jirakran, Laura de Oliveira Semeão

et al.

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

Citations

0
Regulatory T‐Cells During Pregnancy Relate to Women's Own Childhood History of Microbial Exposure DOI Open Access
Molly Fox, Adiba Hassan, Kyle S. Wiley

et al.

American Journal of Human Biology, Journal Year: 2025, Volume and Issue: 37(3)

Published: Feb. 28, 2025

Previous studies found that children with siblings, farm residence, and other proxies of greater microbial contacts had lower rates hyper-responsive immune disorders. Yet, scientific debate persists regarding whether the human system is educated in early life primarily as a function pathogenic or benign exposures, both. Furthermore, pregnancy relies on women's intrinsic immunosuppressive function, yet it remained unknown how immunoregulation pregnant women relates to early-life exposures. Here, we conduct preliminary examination childhood exposures prime pregnancy-related immunoregulatory capacity. We administered retrospective questionnaires estimate 55 exposure (e.g., illness) pets; rural residence) microbes. Tolerogenic regulatory T-cells (Tregs) Treg subtypes were measured by flow cytometry from peripheral blood. Results show for both positively associated concentrations. These findings offer insights may help elucidate relative contributions ("hygiene hypothesis") ("old friends toward expansion compartment. Human evolutionary history characterized changing residency patterns, living environments, subsistence strategies changed. In this context, our suggest possibility less gestational pathology past conditions typified richer diversity exposure.

Language: Английский

Citations

0
Do viral-associated pathways underlie the immune activation during the acute phase of severe major depression? DOI Creative Commons
Michael Maes, Yingqian Zhang, Kitiporn Plaimas

et al.

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 6, 2024

Abstract Background Major depressive disorder (MDD) and its most severe phenotype, major dysmood (MDMD), are distinguished by the activation of immune-inflammatory response system, T cell activation, a relative regulatory suppression. Nevertheless, these immune data were not used to characterize features protein-protein interaction (PPI) network MDMD. Objectives To identify network’s nodes bottlenecks as well biological processes that overrepresented in PPI network, we conducted annotation, enrichment analyses. Results The analysis has identified following backbone genes: tumor necrosis factor-α (TNF), interleukin (IL)6, CXCL12, CXCL10, CCL5, cluster differentiation (CD)4, CD8A, human leukocyte antigen (HLA)-DR, FOXP3. A “cellular defense response”, an “immune system “a viral process involves protein with cytokines cytokine receptors” all highly associated network. chemokine TNF nuclear factor-κB (NFKB) pathways additional enriched Molecular complex detection extracted one component from data, including receptors “regulated RELA” (an NFKB subunit). Conclusions Viral may underlie cells networks Future research on pathogenesis MDMD MDD should examine whether which infections onset conditions, or reactivation is recurrence illness.

Language: Английский

Citations

0
IRON METABOLISM DYSFUNCTION IN NEUROPSYCHIATRIC DISORDERS: IMPLICATIONS FOR THERAPEUTIC INTERVENTION DOI
Eduardo Duarte-Silva,

Michael Maes,

Christina Alves Peixoto

et al.

Behavioural Brain Research, Journal Year: 2024, Volume and Issue: unknown, P. 115343 - 115343

Published: Nov. 1, 2024

Language: Английский

Citations

0
Do viral-associated pathways underlie the immune activation during the acute phase of severe major depression? DOI Creative Commons

Michael Maes,

Yingqian Zhang, Kitiporn Plaimas

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 3, 2024

Abstract Background Major depressive disorder (MDD) and its most severe phenotype, major dysmood (MDMD), are distinguished by the activation of immune-inflammatory response system, T cell activation, a relative regulatory suppression. Nevertheless, these immune data were not used to characterize features protein-protein interaction (PPI) network MDMD. Objectives To identify network's nodes bottlenecks as well biological processes that overrepresented in PPI network, we conducted annotation, enrichment analyses. Results The analysis has identified following backbone genes: tumor necrosis factor-α (TNF), interleukin (IL)6, CXCL12, CXCL10, CCL5, cluster differentiation (CD)4, CD8A, human leukocyte antigen (HLA)-DR, FOXP3. A “cellular defense response”, an “immune system “a viral process involves protein with cytokines cytokine receptors” all highly associated network. chemokine TNF nuclear factor-κB (NFKB) pathways additional enriched Molecular complex detection extracted one component from data, including receptors “regulated RELA” (an NFKB subunit). Conclusions Viral may underlie cells networks Future research on pathogenesis MDMD MDD should examine whether which infections onset conditions, or reactivation is recurrence illness.

Language: Английский

Citations

0
Enhanced diagnosing patients suspected of sarcoidosis using a hybrid support vector regression model with bald eagle and chimp optimizers DOI Creative Commons
Guogang Xie,

Hani Attar,

Ayat Alrosan

et al.

PeerJ Computer Science, Journal Year: 2024, Volume and Issue: 10, P. e2455 - e2455

Published: Dec. 5, 2024

Searching for a reliable indicator of treatment response in sarcoidosis remains challenge. The use the soluble interleukin 2 receptor (sIL-2R) as measure disease activity has been proposed by researchers. A machine learning model was aimed to be developed this study predict sIL-2R levels based on patient's serum angiotensin-converting enzyme (ACE) levels, potentially aiding lung function evaluation. novel forecasting (SVR-BE-CO) prediction is introduced, which combines support vector regression (SVR) with hybrid optimization (BES-CO); composed Bald Eagle Optimizer (BES) and Chimp (CO) model. In model, hyper-parameters SVR are optimized BES-CO ultimately improving accuracy predicted values. SVR-BE-CO evaluated against various methods, including Hybrid Firefly Algorithm (SVR-FFA), decision tree (DT), Gray Wolf Optimization (SVR-GWO) random forest (RF). It demonstrated that surpasses all other methods terms accuracy.

Language: Английский

Citations

0