Evidence map›Paper›PMID 42050914›Full record

ReviewThe Journal of international medical research2026

Emerging therapies for type 1 diabetes: Immunotherapy and gene editing advances.

Ming Zhao, Zheng Yao

Abstract readReview
In one paragraph

Review in The Journal of international medical research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Ming ZhaoJing'an District Shibei Hospital, China.ORCID 0009-0003-2070-3002
Zheng YaoYueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Type 1 diabetes is a chronic autoimmune disease involving the specific destruction of pancreatic β-cells and consequent absolute insulin deficiency. Although exogenous insulin replacement aids in hyperglycemic management, it does not cure the disease and increases the risks of hypoglycemia. Recent breakthroughs in disease-modifying therapies aim to delay, halt, or reverse disease progression via immune modulation or cell replacement. This narrative review systematically summarizes key therapeutic advances from 2023 to 2025. In immunotherapy, anti-CD3 monoclonal antibodies such as teplizumab have become the first Food and Drug Administration-approved agents to delay clinical onset in high-risk individuals. Inhibitors targeting pathways such as Janus kinase-STAT and engineered cell therapies such as chimeric antigen receptor-Tregs have also demonstrated potential for preserving residual β-cell function. For gene therapy and cell replacement, clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated protein 9 (Cas9) editing has generated "hypoimmune" stem cell-derived β-cells, with early clinical trials reporting instances of insulin independence without immunosuppression. Encapsulation technologies further provide a physical immune barrier for transplanted cells. Collectively, these advances mark a paradigm shift from symptomatic control to addressing core disease mechanisms through immune repair and functional restoration. Although challenges in long-term efficacy, safety, and accessibility persist, the ongoing development of combination strategies and precision medicine contributes to long-term remission and potentially a cure within reach.

Indexed as

Diabetes Mellitus, Type 1Gene EditingGenetic TherapyImmunotherapyAnimalsAntibodies, Monoclonal, HumanizedHumansInsulin-Secreting CellsAntibodies, Monoclonal, Humanizedgene therapyimmune toleranceimmunotherapyType 1 diabetesβ-cell protection

Identifiers

PMID42050914
PMCPMC13145059

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.