ArticleCell metabolism2015
Type 1 Diabetes and MicroRNA: It's Complicated.
Article in Cell metabolism, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- The Significance of miRNA-375 in β-cell Function and Autoimmune Destruction in Type 1 Diabetes Mellitus: A Review Article.Reviews on recent clinical trials · 2026Article
- Protection from neuropathy in extreme duration type 1 diabetes.Journal of the peripheral nervous system : JPNS · 2021Article
Corrections and comments
- Comment on
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Type 1 diabetes is an autoimmune disease that manifests as impaired insulin secretion, with compounding complications over time. Bhatt et al. (2015) investigate protective mechanisms in survivors of type 1 diabetes by using induced pluripotent stem cells as genetic models, uncovering novel interactions between microRNA and the DNA damage checkpoint pathway.
Indexed as
Identifiers
26244930What 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.