Genetic Insights Into Type 2 Diabetes Related-Dementia: Unveiling Biomarkers, Pathways, and Targeting Interventions
A special issue of Genes (ISSN 2073-4425). This special issue belongs to the section "Human Genomics and Genetic Diseases".
Deadline for manuscript submissions: 25 October 2024 | Viewed by 20
Special Issue Editor
Interests: personalized medicine; molecular (pharmaco)epidemiology; diabetes; omics biomarkers; novel therapies
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Type 2 diabetes mellitus (T2D) is a significant global health challenge, with increasing prevalence rates worldwide. Beyond its well-documented impact on metabolic health, T2D has emerged as a potential risk factor for dementia, including Alzheimer's disease and vascular dementia. The relationship between T2D and dementia is multifaceted, involving complex interactions between metabolic dysregulation, vascular pathology, and neurodegenerative processes. Understanding this relationship's genetic and genomic underpinnings is essential for identifying early biomarkers, elucidating disease mechanisms, and developing targeted interventions.
Scope of the Special Issue:
This Special Issue explores the role of genetic and genomic biomarkers in the intersection between T2D and dementia. We welcome original research articles, reviews, and perspectives that address the following topics:
- Genetic variants linking T2D and dementia risk.
- Molecular pathways linking T2D-related metabolic dysfunction causally to neurodegeneration.
- Epigenetic factors as mediators of T2D-dementia associations.
- Causal biomarkers for early detection and prognostication of T2D-related dementia.
- Implications of genetic findings for personalized risk assessment and therapeutic strategies.
This Special Issue aims to advance our understanding of disease mechanisms and facilitate the development of precision medicine approaches for the prevention and treatment of T2D-related dementia by bringing together cutting-edge research on genetic and genomic aspects of T2D-related dementia. Moreover, understanding how genetics can aid in identifying early biomarkers of dementia among individuals with T2D is crucial for timely intervention and improved outcomes. We invite researchers from diverse disciplines to contribute their insights and expertise to this important dialogue.
We look forward to your contributions to this exciting Special Issue.
Dr. Fariba Ahmadizar
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Genes is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- type 2 diabetes mellitus
- dementia
- Alzheimer's disease
- vascular dementia
- genetic biomarkers
- genomic biomarkers
- comorbidity
- metabolic dysfunction
- neurodegeneration
- molecular pathways
- epigenetics
- early detection
- prognostication
- personalized medicine
- precision medicine
- risk assessment
