ArticleJournal of clinical laboratory analysis2020
has_circ_CCNB1 and has_circ_0009024 function as potential biomarkers for the diagnosis of type 2 diabetes mellitus.
Article in Journal of clinical laboratory analysis, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed, 18 citations in OpenAlex.
- From In Silico to Clinic: Harnessing Noncoding RNAs for Diabetes Research and Therapy, a Step toward ncRNA Precision.ACS pharmacology & translational science · 2026Review
- Circular RNAs as diagnostic biomarkers in type 2 diabetes mellitus: implications in metabolic dysfunction and immune-inflammatory crosstalk.Frontiers in immunology · 2026Review
- Circular RNAs in diabetes mellitus and its complications: a systematic review and in silico analyses.Endocrine connections · 2025Article
- Circular RNAs and endothelial dysfunction: mechanistic crosstalk and emerging therapeutic perspectives.Cellular and molecular life sciences : CMLS · 2025Review
- The impact of ncRNAs on type 2 diabetes: A comprehensive review covering molecular mechanisms to clinical applications.Molecular therapy. Nucleic acids · 2025Review
- Emerging role and clinical applications of circular RNAs in human diseases.Functional & integrative genomics · 2025Review
- Circular RNAs in Blood and Its Clinical Relevance.Advances in experimental medicine and biology · 2025Review
- Emerging Roles of ncRNAs in Type 2 Diabetes Mellitus: From Mechanisms to Drug Discovery.Biomolecules · 2024Review
- Causal discovery approach with reinforcement learning for risk factors of type II diabetes mellitus.BMC bioinformatics · 2023Article
- CircRNAs and RNA-Binding Proteins Involved in the Pathogenesis of Cancers or Central Nervous System Disorders.Non-coding RNA · 2023Review
- hsa_circ_0115355 promotes pancreatic β-cell function in patients with type 2 diabetes through the miR-145/SIRT1 axis.Journal of clinical laboratory analysis · 2022Article
- Circular RNAs in diabetes mellitus and its complications.Frontiers in endocrinology · 2022Review
- has_circ_CCNB1 and has_circ_0009024 function as potential biomarkers for the diagnosis of type 2 diabetes mellitus.Journal of clinical laboratory analysis · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
Circular RNAs (circRNAs) have been reported to be associated with various diseases, including type 2 diabetes mellitus (T2DM). The aim of present study was to investigate the clinical value of has_circ_CCNB1 and has_circ_0009024 in T2DM. Serum samples from patients with T2DM (n = 166) and healthy volunteers (n = 166) were recruited. Then, real-time quantitative reverse transcription-polymerase chain reaction (RT-qPCR) analysis and enzyme-linked immunosorbent (ELISA) assays were conducted to detect the expression levels of circRNAs and inflammatory factors. Furthermore, the correlation analysis and receiver operating characteristic (ROC) curve were used to evaluate diagnostic accuracy. From the results, circ_CCNB1 was significantly increased while circ_0009024 was decreased in serum samples from T2DM patients. Moreover, has_circ_CCNB1 was positively correlated with glucose (GLU), glycosylated hemoglobin (GHb), interleukin 6 (IL-6), and tumor necrosis factor-α (TNF-α) while has_circ_0009024 was negatively correlated with them. Importantly, the AUC of has_circ_CCNB1 and has_and circ_0009024 was 0.9255 (95% CI = 0.8909-0.9601) and 0.9592 (95% CI = 0.9381-0.9803), while the AUC of combinative curve is 0.8875 (95% CI = 0.8204-0.8547). In a word, has_circ_CCNB1 and has_circ_0009024 may exhibit as potential biomarkers for the diagnosis of T2DM.
Indexed as
Identifiers
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.