Evidence map›Paper›PMID 42432477›Full record

ReviewMolecular medicine (Cambridge, Mass.)2026

Endothelial dysfunction in human diabetic vascular complications: translating single-cell transcriptomics into therapeutic opportunities.

Reem Alshehhi, Mira Mousa, Lena Lößlein, Thanumol Abdul Khader, Amaryllis H Van Craenenbroeck, Syed Salman Ashraf, Peter Carmeliet, Habiba Alsafar

Abstract readReview
In one paragraph

Review in Molecular medicine (Cambridge, Mass.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Reem AlshehhiCenter for Biotechnology, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates.ORCID http://orcid.org/0009-0008-6782-8677
Mira MousaCenter for Biotechnology, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates.ORCID http://orcid.org/0000-0002-5676-3221
Lena LößleinCenter for Biotechnology, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates.ORCID http://orcid.org/0000-0001-5705-9175
Thanumol Abdul KhaderCenter for Biotechnology, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates.ORCID http://orcid.org/0000-0002-1338-2568
Amaryllis H Van CraenenbroeckDepartment of Microbiology, Immunology and Transplantation, Nephrology and Kidney Transplantation Research Group, KU Leuven, Louvain, Belgium.ORCID http://orcid.org/0000-0003-4728-9406
Syed Salman AshrafCenter for Biotechnology, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates.ORCID http://orcid.org/0000-0003-4961-5527
Peter CarmelietCenter for Biotechnology, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates.ORCID http://orcid.org/0000-0001-7961-1821
Habiba AlsafarCenter for Biotechnology, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates. habiba.alsafar@ku.ac.ae.ORCID https://orcid.org/0000-0001-7141-1438

Funding

Khalifa University of Science and Technology through the Biomedical Science and Discovery Program KU-EXT-BISDI-2022-8434000456
6 · The paper itself

Abstract

Type 2 diabetes mellitus (T2DM) is increasingly recognized as a systemic vascular disease in which endothelial cell (EC) dysfunction is a central driver of diabetic vascular complications (DVCs), which account for most diabetes-related morbidity and mortality. Although conventional therapies improve glycemic control and reduce some cardiovascular risk, they do not fully prevent microvascular and macrovascular injury, highlighting the need for more precise vascular-targeted strategies. Recent advances in single-cell RNA sequencing have transformed our understanding of diabetic endothelial biology by resolving EC heterogeneity at unprecedented resolution across human tissues, yet insights from human diabetic tissues remain fragmented. Here, we provide a cross-tissue synthesis of currently available human single-cell studies profiling ECs across diabetic vasculature, focusing on diabetic arteries, diabetic retinopathy, diabetic nephropathy, and diabetic foot ulcers to define mechanisms underlying dysfunctional EC states in different DVCs. We propose a unifying framework in which DVCs are driven by tissue-specific endothelial-state transitions arising from combinations of epigenetic, transcriptional, post-translational, and intercellular signaling programs, rather than by isolated pathway abnormalities. These include a pro-inflammatory, pro-fibrotic, and anti-angiogenic state in diabetic arteries; a pathological angiogenic and barrier-disruptive inflammatory state in diabetic retinopathy; a pro-fibrotic and maladaptive angiogenic/proliferative state in diabetic nephropathy; and an inflammatory, anti-angiogenic state in diabetic foot ulcers. This framework also provides a mechanistic explanation for the limited efficacy of current single-pathway therapies, including VEGF-centered approaches, and uncovers VEGF-independent mechanisms that may be therapeutically actionable for these DVCs. Importantly, this review not only highlights the need for but also proposes combination therapeutic strategies that target multiple regulatory layers within tissue-specific endothelial states. Overall, this review supports a paradigm shift toward vascular bed-specific, combinatorial, and state-directed therapeutic strategies to reprogram endothelial dysfunction in DVCs.

Indexed as

Diabetic AngiopathiesEndothelial CellsEndothelium, VascularSingle-Cell AnalysisTranscriptomeAnimalsDiabetes Mellitus, Type 2HumansSingle-Cell Gene Expression AnalysisAngiogenesisDiabetic foot ulcersDiabetic nephropathyDiabetic retinopathyDiabetic vascular complicationsEndothelial cell dysfunctionEndothelial heterogeneitySingle-cell RNA sequencingType 2 diabetes mellitus

Identifiers

PMID42432477
PMCPMC13640343

What Socratic 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 Socratic graph.