ReviewInternational journal of molecular sciences2021
Cell-Free DNA Fragments as Biomarkers of Islet β-Cell Death in Obesity and Type 2 Diabetes.
Review in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
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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
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.
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Who cites it
15 citing papers in PubMed, 23 citations in OpenAlex.
- Non-invasive islet β-cell markers track with weight-loss interventions for type 2 diabetes: a prospective cohort study.International journal of obesity (2005) · 2026Article
- The Genetic Landscape of Diabetes Mellitus: Lessons from Monogenic and Polygenic Forms.Life (Basel, Switzerland) · 2026Review
- The integrated stress response in pancreatic β-cell failure in diabetes: from molecular mechanisms to precision therapeutics.Frontiers in endocrinology · 2026Review
- A feedback loop between DNA damage, genomic instability, and cytoplasmic DNA sensing contributes to cytokine production in COVID-19.Archives of virology · 2025Review
- Closing the Gap Between Vision and Victory in Type 1 Diabetes: The NIDDK Human Islet Research Network (HIRN) Initiative.Diabetes · 2025Review
- Circulating Cell-Free DNA in Metabolic Diseases.Journal of the Endocrine Society · 2025Review
- Liquid Biopsy: A Game Changer for Type 2 Diabetes.International journal of molecular sciences · 2024Review
- Increased serum extrachromosomal circular DNA SORBS1Cellular & molecular biology letters · 2024Article
- Heightened cholesterol 25-hydroxylase expression in aged lung duringFrontiers in aging · 2024Article
- The Diagnostic, Prognostic, and Therapeutic Potential of Cell-Free DNA with a Special Focus on COVID-19 and Other Viral Infections.International journal of molecular sciences · 2023Review
- Higher β cell death in pregnant women, measured by DNA methylation patterns of cell-free DNA, compared to new-onset type 1 and type 2 diabetes subjects: a cross-sectional study.Diabetology & metabolic syndrome · 2023Article
- False Positives in Brucellosis Serology: Wrong Bait and Wrong Pond?Tropical medicine and infectious disease · 2023Review
- Profiling of cell-free DNA methylation and histone signatures in pediatric NAFLD: A pilot study.Hepatology communications · 2022Article
- Global Trends in Research on Cell-Free Nucleic Acids in Obstetrics and Gynecology during 2017-2021.Journal of clinical medicine · 2022Review
- Liquid Biopsy in Type 2 Diabetes Mellitus Management: Building Specific Biosignatures via Machine Learning.Journal of clinical medicine · 2022Article
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 1 country.
Funding
Abstract
Type 2 diabetes (T2D) typically occurs in the setting of obesity and insulin resistance, where hyperglycemia is associated with decreased pancreatic β-cell mass and function. Loss of β-cell mass has variably been attributed to β-cell dedifferentiation and/or death. In recent years, it has been proposed that circulating epigenetically modified DNA fragments arising from β cells might be able to report on the potential occurrence of β-cell death in diabetes. Here, we review published literature of DNA-based β-cell death biomarkers that have been evaluated in human cohorts of islet transplantation, type 1 diabetes, and obesity and type 2 diabetes. In addition, we provide new data on the applicability of one of these biomarkers (cell free unmethylated
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What 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.