ReviewHuman cell2025
Human amniotic epithelial stem cells, a potential therapeutic approach for diabetes and its related complications.
Review in Human cell, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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.
The trial behind it
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Authors and funding
3 authors.
Funding
Abstract
The escalating diabetes prevalence has heightened interest in innovative therapeutic strategies for this disease and its complications. Human amniotic epithelial stem cells (HAESCs), originate from the innermost layer of the placenta closest to the fetus and express stem cell markers in the amniotic membrane's umbilical cord attachment area, which have garnered significant attention. This article critically examines emerging research advancements and potential application values of hAESCs in treating diabetes and its complications. Initially, we will discuss the characteristics, origin, and advantages of hAESCs in differentiating into insulin-secreting cells. Subsequently, we will focus on the potential applications of hAESCs in treating diabetes complications such as diabetic retinopathy, diabetic nephropathy, and diabetic neuropathy, etc. We will scrutinize the progress of relevant clinical studies and trials involving hAESC therapy. In conclusion, as an emerging diabetes treatment method, hAESCs exhibit immense potential and application value. Despite numerous challenges in practical application, we are confident that with scientific advancement and technological progress, hAESCs will play a pivotal role in treating diabetes and its related complications.
Indexed as
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39753919What OpenQuestion holds
Registered trials
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.