Evidence map›Paper›PMID 42818903›Full record

ArticleResearch square2026

Cross-Platform Analysis of Endothelial Transcriptomic Changes Associated with Diabetes.

Yingjun Luo, Kailing Huang, Jiawei Sun, Meirigeng Qi, Xiaofang Tang, Zhen Bouman Chen

Abstract readPreprint
In one paragraph

Article in Research square, 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

6 authors.

Yingjun LuoCity of Hope.
Kailing HuangCity of Hope.
Jiawei SunCity of Hope.
Meirigeng QiCity of Hope.
Xiaofang TangCity of Hope.
Zhen Bouman ChenCity of Hope.

Funding

Transgenic Mouse FacilityP30CA033572 · NCI · CITY OF HOPE/BECKMAN RESEARCH INSTITUTE · PI John Charles Williams · 1985 to 2026
$86.3M
Transcriptional Regulation by Angiotensin II in Vascular Smooth Muscle CellsR01HL106089 · NHLBI · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI NATARAJAN, RAMA · 2011 to 2024
$6.6M
RNA-mediated endotheliopathy in diabetic vasculopathyR35HL171550 · NHLBI · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI Zhen Bouman Chen · 2024 to 2026
$2.2M
Chromatin remodeling factors and mechanisms in diabetic microvascular complicationsR01DK143577 · NIDDK · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI Zhen Bouman Chen, RAMA NATARAJAN · 2025 to 2026
$1.5M
NCI NIH HHS P30 CA033572NHLBI NIH HHS R01 HL106089NHLBI NIH HHS R35 HL171550NIDDK NIH HHS R01 DK143577
6 · The paper itself

Abstract

Endothelial dysfunction is an early hallmark of diabetes and a key driver of diabetic vascular complications. However, the transcriptional responses of endothelial cells (ECs) to diabetic stress across different vascular beds and the extent to which cultured ECs recapitulate these changes remain incompletely understood. Here, we profiled transcriptomes of mesenteric arterial intima from non-diabetic, pre-diabetic, and type 2 diabetic donors and compared diabetes-associated differentially expressed genes with those identified in five cultured human EC subtypes, including umbilical vein, aortic, dermal microvascular, lymphatic microvascular, and liver sinusoidal ECs, exposed to high glucose and TNF-a. Human arterial intima and cultured ECs shared multiple diabetes-associated stress-response and vascular remodeling programs, with metabolic alterations more prominent in human donor ECs and inflammatory and immune pathways more pronounced in cultured ECs. Despite these context-dependent differences, we identified a subset of genes, including

Indexed as

AngiogenesisEndothelial dysfunctionEndothelial heterogeneityMesenteric arteryRNA-seqType 2 Diabetes Mellitus

Identifiers

PMID42818903
PMCPMC13622806

What OpenQuestion holds

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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.