Home
Abstract
Abstract Submission
My Abstract(s)
Pre-Order Mascot
Dashboard
Submission Status
Submitted
Abstract Submission
Abstract Title
Epigenetic Footprints of Metabolic Memory in Type 2 Diabetes: Reversibility and Therapeutic Implications
Presentation Type
Poster Presentation
Type Reference
Scientific Research Abstract
Abstract Category
Diabetes
Author's Information
Number of Authors (including submitting/presenting author) *
3
No more than 15 authors can be listed (as per the Good Publication Practice (GPP) Guidelines).
Please ensure the authors are listed in the right order.
Co-author 1
Feng-Chih Kuo shoummie@hotmail.com Tri-Service General Hospital, National Defense Medical University Division of Endocrinology and Metabolism, Department of Internal Medicine Taipei Taiwan *
Co-author 2
Guan-Jun Lin lin0003@gate.sinica.edu.tw Academia Sinica Institute of Plant and Microbial Biology Taipei Taiwan -
Co-author 3
Pao-Yang Chen paoyang@gate.sinica.edu.tw Academia Sinica Institute of Plant and Microbial Biology Taipei Taiwan -
Co-author 4
-
Co-author 5
-
Co-author 6
-
Co-author 7
-
Co-author 8
-
Co-author 9
-
Co-author 10
-
Co-author 11
-
Co-author 12
-
Co-author 13
-
Co-author 14
-
Co-author 15
-
Abstract Content
Background and aims *
Metabolic memory, initiated by hyperglycemia at diabetes onset, contributes to long-term vascular complications. While prior studies in type 1 diabetes have linked this legacy effect to CpG methylation changes, its epigenetic basis in type 2 diabetes (T2D), which comprises over 90% of diabetes cases remains largely underexplored.
Methods *
Peripheral blood mononuclear cells were collected from normoglycemic individuals, newly diagnosed T2D patients, and long-duration T2D patients. A subset received follow-up treatment with sodium-glucose co-transporter-2 inhibitors (SGLT2i). Genome-wide DNA methylation profiling was performed using reduced representation bisulfite sequencing, covering around 4 million CpG sites enriched at 20,000 promoters. A custom computational pipeline was developed to classify methylation dynamics into reversible, persistent, or deteriorating loci across disease stages and treatment responses.
Results *
We identified two distinct waves of methylation reduction corresponding to early and chronic phases of T2D. Newly diagnosed patients exhibited epialleles with methylation patterns that gradually normalized over time, whereas long-duration diabetes generated additional, persistent epigenetic alterations. Notably, SGLT2i therapy significantly restored methylation profiles across both footprint types, suggesting a potential for epigenetic reversal.
Conclusions *
This study is the first to delineate dual epigenetic footprints of metabolic memory in T2D and demonstrate their partial reversibility through SGLT2i treatment. These findings offer mechanistic insights into the legacy effect and support the development of personalized epigenetic strategies for mitigating diabetic complications.
Keyword(s)
Metabolic memory, Type 2 diabetes, DNA methylation, Epigenetic footprint, SGLT2 inhibitors
Figure 1
Figure 1 Caption
Total Word Count
216
Presenting Author First Name
Feng-Chih
Presenting Author Last Name
Kuo
Presenting Author Email
shoummie@hotmail.com
Country (Internal Use)
Presentation Details
Session
Date
Time
Presentation Order