Evidence map›Paper›PMID 40464182›Full record

ReviewCurrent diabetes reviews2026

The Application of Omics Technologies in Type II Diabetes Mellitus Research.

Abdullah Al Sultan, Zahra Rattray, Nicholas J W Rattray

Abstract readReview
PubMed Publisher
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Abdullah Al SultanStrathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, 161 Cathedral Street, Glasgow, G4 0RE, UK.
Zahra RattrayStrathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, 161 Cathedral Street, Glasgow, G4 0RE, UK.
Nicholas J W RattrayStrathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, 161 Cathedral Street, Glasgow, G4 0RE, UK.ORCID 0000-0002-3528-6905

Funding

Medical Research Council MR/Y010736/1Royal Society IF\R1\231034
6 · The paper itself

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

Diabetes Mellitus, Type 2GenomicsMetabolomicsProteomicsBiomarkersHumansBiomarkersDiabetes mellitusdisease biomarkersinsulin resistanceomics technologiestoxico-omicstype 2 diabetes

Identifiers

PMID40464182

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.