ReviewCurrent diabetes reviews2026
The Application of Omics Technologies in Type II Diabetes Mellitus Research.
Review in Current diabetes reviews, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Diabetes mellitus represents a spectrum of chronic metabolic disorders characterized by elevated blood glucose levels (hyperglycemia), largely due to insulin deficiency or resistance. Type 2 diabetes mellitus (T2DM) is the most prevalent form, accounting for over 90% of diabetes cases globally. Its rising prevalence is a global concern, with projections indicating 783 million cases by 2045. T2DM leads to severe complications, including macrovascular diseases like cardiovascular events and microvascular issues such as retinopathy and neuropathy. Despite extensive research, the molecular mechanisms underlying T2DM are not fully understood. However, advancements in omics technologies, including genomics, proteomics, and metabolomics, have revolutionized diabetes research, notably in the following areas: ● The advent of single-cell sequencing has revealed cellular heterogeneity and dynamic changes during T2DM progression, paving the way for precision medicine approaches in diabetes research. ● Liquid chromatography-mass spectrometry (LC-MS)-based proteomics and metabolomics approaches have transformed T2DM research by enabling the discovery of early detection biomarkers, providing insights into key disease mechanisms and metabolic pathways, and facilitating the identification of novel therapeutic targets. Despite challenges, integrating multi-omics data holds promise for unravelling the complex molecular networks involved in T2DM. This review explores recent advancements in omics research, its impact on T2DM, and future directions in the field.
Indexed as
Identifiers
40464182What 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.