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Record W4410951296 · doi:10.1186/s13287-025-04393-4

Restoration of NOX4 signalling reverses endothelial colony-forming cell angiogenic dysfunction associated with experimental and clinical diabetes

2025· article· en· W4410951296 on OpenAlexfundno aff
Karla O’Neill, Kevin Edgar, Shun Hay Pun, David C. Campbell, Tinrui Toh, Xin Ni June Wong, Bianca Botezatu, Una McCoy, Jennifer Nicell, Catherine R. McClintock, Kiran J. McLoughlin, Yuxin Wu, Vinuthna Vani Madishetti, Arya Moez, Mohammed Alsaggaf, Eleanor Gill, Rawan A Abudalo, Christina O’Neill, Edoardo Pedrini, Jasenka Guduric‐Fuchs, Coy Brunßen, Henning Morawietz, Philip D. Dunne, Chris Watson, Reinhold J. Medina, K. O'Neill

Bibliographic record

VenueStem Cell Research & Therapy · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAngiogenesis and VEGF in Cancer
Canadian institutionsnot available
FundersMedical Research CouncilQueen's UniversityQueen's University BelfastDeutsche ForschungsgemeinschaftDiabetes UKBritish Heart FoundationDepartment for the EconomySociety of the Friendly Sons of St. Patrick for the Relief of Emigrants from Ireland
KeywordsNOX4Progenitor cellNADPH oxidaseEndothelial progenitor cellBiologyStem cellDiabetes mellitusContext (archaeology)Cell biologyMedicineEndocrinologyReactive oxygen species

Abstract

fetched live from OpenAlex

BACKGROUND: Progenitor endothelial colony forming cells (ECFCs) are critical for vascular homeostasis and hold therapeutic potential for ischaemic cardiovascular disease (CVD). As angiogenic capacity and efficacy within diseased tissues is particularly impacted in diabetic patients, who show high incidence of ischaemic CVD, targeting of critical ECFC pathways in this setting represents an innovative focus towards enhancing intrinsic vasoreparative function. We previously reported that NADPH oxidase 4 (NOX4)-derived reactive oxygen species promote cord blood-derived ECFC (CB-ECFC) pro-angiogenic response, whilst NOX4 overexpression (OE) enhances revascularisation capacity. Here, we aimed to investigate specific influence of NOX4-dependent signalling on CB-ECFC angiogenic dysfunction observed upon exposure to both experimental and clinical diabetes to define whether NOX4 may represent a viable therapeutic target in this context. METHODS: CB-ECFCs were cultured in high glucose (D-glucose, 25 mmol/L) or control media (5 mmol/L) ± phorbol 12-myristate 13- acetate (PMA, 500 nmol/L) for 72 h with assessment of migratory/tubulogenic capacity and NOX4 mRNA expression (qRT-PCR). Detailed analysis of angiogenic function and signalling (Western blot, RNA sequencing) was performed in CB-ECFCs isolated from donors with gestational diabetes prior to NOX4 plasmid OE to define rescue potential and key mechanistic pathways (network analysis, proteome profiling). Statistical significance was determined using one-way ANOVA with Bonferroni post-host testing or paired/unpaired Student's t-test, as appropriate. RESULTS: PMA-stimulated CB-ECFC migration and tube-forming capacity observed in control cells was suppressed in experimental diabetes in parallel with reduced NOX4 expression and rescued by plasmid NOX4OE. As direct evidence of clinical relevance, CB-ECFCs from gestational diabetic donors showed reduced angiogenic potential associated with attenuated NOX4, eNOS activity and downregulation of key vasoreparative signalling. Furthermore, NOX4OE rescued angiogenic function in chronically diabetic CB-ECFCs via modulation of downstream signalling involving both direct and indirect enhancement of pro-angiogenic protein expression (endoglin/SERPINE1/E2F1) linked to reduced p53 phosphorylation. CONCLUSIONS: Taken together, these data indicate for the first time that reduced NOX4 expression plays a pivotal role in CB-ECFC angiogenic dysfunction linked with diabetes whilst highlighting NOX4-dependent signalling as a potential target to protect and augment their intrinsic vasoreparative capacity towards addressing current translational barriers.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.381

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.044
GPT teacher head0.346
Teacher spread0.302 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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