Skip to content
Review Open access

CRISPR Technologies in Type 2 Diabetes: From Mechanistic Insights to Therapeutic Discovery

Sep 2026 · International Journal of Molecular Sciences · Vol 27, pp. 8360 · 0 citations · 148 references
Medicine

TL;DR

The application of CRISPR technologies in T2D genetic factor analysis and high-throughput phenotypic screening, with a focus on three key areas: glucose metabolism, lipid metabolism, and pancreatic functionality, is reviewed.

Abstract

Type 2 diabetes (T2D) is a complex metabolic disorder driven by the interplay of genetic susceptibility, β-cell dysfunction, and insulin resistance. Although genome-wide association studies (GWAS) have identified numerous T2D risk loci, translating these genetic findings into biological mechanisms and therapeutic strategies remains challenging. The emergence of CRISPR (Clustered Regularly Interspaced Short Palindromic Repeats)-based technologies has provided powerful tools for precise genome manipulation and functional interrogation of disease-associated genes and genetic variations. This review summarizes the development of CRISPR technologies and highlights their applications in T2D research. We review the application of CRISPR technologies in T2D genetic factor analysis and high-throughput phenotypic screening, with a focus on three key areas: glucose metabolism, lipid metabolism, and pancreatic functionality. We further examine the role of CRISPR in therapeutics that target pancreatic β-cells via gene correction, stress protection, and epigenetic reprogramming. Finally, we briefly discuss the major challenges encountered in the applications of CRISPR technology, including delivery efficiency, off-target effects, safety concerns and ethical considerations.

Read PDF

Similar papers

Review Sep 2026

CRISPR Cas9 Beta Cell Regeneration Therapy for Type 1 Diabetes: Mechanistic Insights and Clinical Translation

Type 1 diabetes is a chronic autoimmune disorder characterized by immune-mediated destruction of pancreatic beta cells, resulting in lifelong dependence on exogenous insulin and risk of severe metabolic complications. Despite advances in insulin formulations and glucose monitoring technologies, current therapies failed...

Mukisa Ian Mugaiga · 0 citations
Review Open access Sep 2026

CRISPR-based functional genomic screening in neurodegeneration: mechanistic insights into AD, PD, and ALS

Overall, CRISPR-based screening provides a useful framework for identifying candidate disease modifiers, but further validation across complementary human-relevant and in vivo models is required before therapeutic translation.

Feng Xue, Li-Li Bao, An-Da He et al. · 0 citations
#gene editing Review Sep 2026

Precision Genome Editing Strategies for Enduring Lipid Lowering in Atherosclerosis.

This review examines the significant transition in cardiovascular research from conventional, wide knockout models to the utilization of advanced precision genome editing methods, particularly emphasizing CRISPR-Cas9, base editing, and prime editing.

Durlav Chowdhury, Nirdesh Singh, Swarnalata Garai et al. · 0 citations
#gene editing Review Sep 2026

CRISPR and Gene Editing Approaches in Prostate Cancer: Clinical Applications and Therapeutic Potential.

Overall, CRISPR-based technologies show considerable potential to support precision oncology in prostate cancer by enabling molecularly informed therapeutic strategies and addressing treatment resistance, although challenges related to delivery, off-target effects, tumor heterogeneity, immunogenicity, and clinical tran...

Vaibhavkumar Patel, Pratichi Singh, S. Dutta et al. · 0 citations
Open access Sep 2026

High-throughput platforms for genetic perturbation screening using CRISPR/Cas9 in human iPSC-derived macrophages for drug discovery

A scalable, semi-automated, and physiologically relevant hiPSC-derived macrophage model, rigorously characterised through deep comparative multi-omics is established and how genetic perturbations alter pro- and anti-inflammatory transcriptional signatures and significantly impact functional phenotypes are showcased.

Matteo Martufi, Eleni Karagianni, Tasos Papanikos et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.