Cardiometabolic health, cortical thickness, and neurotransmitter systems: a large-scale multivariate study DOI Open Access
Eliana Nicolaisen‐Sobesky, Somayeh Maleki Balajoo, Mostafa Mahdipour

et al.

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

Published: June 17, 2024

Summary There is a recognized link between risk factors for non-communicable diseases and brain health. However, the specific effects that they have on health are still poorly understood, preventing its implementation in clinical practice. For instance, association such cortical thickness (CT) has been primarily explored using univariate/bivariate methods global/lobar measures of CT yielded inconsistent results. In this work, we aim to study relationship CT. addition, adopt systems-level perspective understand relationship, by integrating several features including structure function as well neurotransmitter systems. Here, analyzed latent dimensions linking broad set parcel-wise across whole cortex (including raw, proportional, size- corrected measures). We used multivariate approach (regularized canonical correlation analysis (RCCA)) embedded machine learning framework allows capture inter- individual variability assess generalizability model. The patterns (captured with factors) were characterized from multi-level perspective, comparing them structure, function, Analyses performed separately women (n=3685, 46-81 years) age-matched men avoid sex-bias found one significant dimension (women: r range =0.25-0.30, p=0.005-0.005; men: =0.31-0.34, p=0.005-0.005), capturing cardiometabolic health, physical activity, body morphology/composition, basal metabolic rate, blood pressure. This was linked axis inter-individual insula cingulate occipital parietal areas. Interestingly, pattern associated binding potentials systems, serotoninergic, dopaminergic, cholinergic, GABAergic Of note, similar sexes (raw, brain-size corrected). observed robust, CT, These findings support urgency further investigation into interaction contributes challenge classical conceptualization neuropsychiatric illnesses categorical entities. Therefore, regular monitoring may reduce their adverse prevent development diseases.

Language: Английский

Exploring the Pathophysiology of Long COVID: The Central Role of Low-Grade Inflammation and Multisystem Involvement DOI Open Access
Evgeni Gusev, Alexey Sarapultsev

International Journal of Molecular Sciences, Journal Year: 2024, Volume and Issue: 25(12), P. 6389 - 6389

Published: June 9, 2024

Long COVID (LC), also referred to as Post COVID-19 Condition, Post-Acute Sequelae of SARS-CoV-2 Infection (PASC), and other terms, represents a complex multisystem disease persisting after the acute phase COVID-19. Characterized by myriad symptoms across different organ systems, LC presents significant diagnostic management challenges. Central disorder is role low-grade inflammation, non-classical inflammatory response that contributes chronicity diversity observed. This review explores pathophysiological underpinnings LC, emphasizing importance inflammation core component. By delineating pathogenetic relationships clinical manifestations this article highlights necessity for an integrated approach employs both personalized medicine standardized protocols aimed at mitigating long-term consequences. The insights gained not only enhance our understanding but inform development therapeutic strategies could be applicable chronic conditions with similar features.

Language: Английский

Citations

7
Postbiotics as a Therapeutic Tool in Alzheimer's Disease: Insights into Molecular Pathways and Neuroprotective Effects DOI

Garry Hunjan,

Khadga Raj Aran

Ageing Research Reviews, Journal Year: 2025, Volume and Issue: unknown, P. 102685 - 102685

Published: Feb. 1, 2025

Language: Английский

Citations

0
Models developed to explain the effects of stress on brain and behavior DOI
Adejoke Elizabeth Memudu, Baliqis Adejoke Olukade,

Kenechukwu Emmanuel Nwanama

et al.

Progress in brain research, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Language: Английский

Citations

0
Fibromyalgia, Depression, and Autoimmune Disorders: An Interconnected Web of Inflammation DOI Creative Commons
Stefania Sedda, Maria Piera L. Cadoni, Serenella Medici

et al.

Biomedicines, Journal Year: 2025, Volume and Issue: 13(2), P. 503 - 503

Published: Feb. 18, 2025

Background: Fibromyalgia, depression, and autoimmune diseases represent a triad of interconnected conditions characterized by overlapping biological pathways, including chronic inflammation, immune dysregulation, neurochemical imbalances. Understanding their shared mechanisms offers opportunities for innovative therapeutic approaches. Objective: This systematic review explores the common inflammatory- immune-related pathways among these conditions, emphasizing implications biomarker development novel strategies. Methods: Following PRISMA guidelines, comprehensive literature search was conducted in databases PubMed, Scopus, Web Science, Cochrane Library. Studies examining relationship between fibromyalgia, with focus on responses, inflammatory biomarkers, interventions were included. The quality selected studies assessed using Risk Bias tool. Results: From 255 identified studies, 12 met inclusion criteria. Evidence supports role pro-inflammatory cytokines (e.g., IL-6, TNF-α) dysregulation serotonin, dopamine) as key factors pathophysiology conditions. Pilot highlight potential immune-modulating therapies, low-dose IL-2 anti-inflammatory agents such N-acetylcysteine minocycline, alleviating both physical psychological symptoms. Emerging cytokine profiles platelet serotonin activity, show promise personalized treatment Conclusions: linking underscore need integrated Although pilot provide preliminary insights, validation through large-scale, multicenter trials is essential. Future research should standardizing methodologies leveraging biomarker-driven precision medicine to improve outcomes patients complex, multifactorial

Language: Английский

Citations

0
Cardiometabolic health, cortical thickness, and neurotransmitter systems: a large-scale multivariate study DOI Open Access
Eliana Nicolaisen‐Sobesky, Somayeh Maleki Balajoo, Mostafa Mahdipour

et al.

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

Published: June 17, 2024

Summary There is a recognized link between risk factors for non-communicable diseases and brain health. However, the specific effects that they have on health are still poorly understood, preventing its implementation in clinical practice. For instance, association such cortical thickness (CT) has been primarily explored using univariate/bivariate methods global/lobar measures of CT yielded inconsistent results. In this work, we aim to study relationship CT. addition, adopt systems-level perspective understand relationship, by integrating several features including structure function as well neurotransmitter systems. Here, analyzed latent dimensions linking broad set parcel-wise across whole cortex (including raw, proportional, size- corrected measures). We used multivariate approach (regularized canonical correlation analysis (RCCA)) embedded machine learning framework allows capture inter- individual variability assess generalizability model. The patterns (captured with factors) were characterized from multi-level perspective, comparing them structure, function, Analyses performed separately women (n=3685, 46-81 years) age-matched men avoid sex-bias found one significant dimension (women: r range =0.25-0.30, p=0.005-0.005; men: =0.31-0.34, p=0.005-0.005), capturing cardiometabolic health, physical activity, body morphology/composition, basal metabolic rate, blood pressure. This was linked axis inter-individual insula cingulate occipital parietal areas. Interestingly, pattern associated binding potentials systems, serotoninergic, dopaminergic, cholinergic, GABAergic Of note, similar sexes (raw, brain-size corrected). observed robust, CT, These findings support urgency further investigation into interaction contributes challenge classical conceptualization neuropsychiatric illnesses categorical entities. Therefore, regular monitoring may reduce their adverse prevent development diseases.

Language: Английский

Citations

0