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Glomerular filtration rate predicts pro-vascular progenitor cell depletion: insights from the IPE-PREVENTION and ORIGINS-RCE studies

2023· article· en· W4388600334 on OpenAlexaff
Ehab Bakbak, Arun Krishnaraj, Adrian Quan, Daniella C. Terenzi, Pankaj Puar, Yi Pan, A. Bakbak, B. Bari, Kristin A Terenzi, Ori D. Rotstein, Hwee Teoh, Lawrence A. Leiter, Deepak L. Bhatt, David A. Hess, Subodh Verma

Bibliographic record

VenueEuropean Heart Journal · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAngiogenesis and VEGF in Cancer
Canadian institutionsWestern UniversityLakeridge HealthUniversity of British ColumbiaSt. Michael's Hospital
Fundersnot available
KeywordsMedicineRenal functionDiabetes mellitusKidney diseaseType 2 diabetesProgenitor cellInternal medicineCohortEndocrinologyStem cell

Abstract

fetched live from OpenAlex

Abstract Background People living with cardiometabolic disease and impaired renal function are at increased risk of experiencing adverse cardiovascular outcomes(1,2). Recent evidence indicates that individuals living with atherosclerotic cardiovascular disease (ASCVD) and type 2 diabetes (T2D) exhibit a reduction in circulating vascular regenerative (VR) cells that are essential for maintaining blood vessel homeostasis(3). However, there is limited data on whether VR cell content changes in response to cardiometabolic and kidney disorders. Purpose We sought to determine if there is an association between estimated glomerular filtration rate (eGFR) and VR cell content in individuals with ASCVD and/or diabetes. Data were from participants enrolled in the IPE-PREVENTION and ORIGINS-RCE studies. Methods IPE-PREVENTION participants had moderately elevated triglycerides (1.5 - 5.65 mmol/L) with established ASCVD and/or T2D. ORIGINS-RCE participants had established ASCVD or T2D and at least one additional cardiovascular risk factor. Circulating mononuclear cells were isolated from peripheral blood and characterized using side scatter properties (SSC) and high aldehyde dehydrogenase activity to quantify pro-angiogenic early myeloid progenitor cells (ALDHhi), and primitive versus lineage-specific cell surface marker co-expression. Participants were stratified according to those with an eGFR <60 mL/min/1.73m², or ≥60 mL/min/1.73m². Results Median [IQR] eGFR of the pooled cohort (n=169) was 75 [59, 88] mL/min/1.73m²; 45% had an eGFR that was <60 mL/min/1.73m². The stratum with eGFR <60 mL/min/1.73m² had fewer circulating ALDHhiSSClow progenitor cells (0.037 vs. 0.051%; P<0.01) (Figure 1A) and ALDHhiSSClow cells expressing CD34+ and CD133+ (49 vs. 54%; P=0.03) (Figure 1B) than that with an eGFR ≥60 mL/min/1.73m². The predictive value of eGFR on ALDHhiSSClowCD34+CD133+ frequency was conserved even after controlling for age, sex, LDL-C, BMI, and HbA1c (P<0.01) (Table 1). The frequency of ALDHhiSSCmid monocyte precursor cells did not differ based on eGFR status. Conclusions Low eGFR was predictive for the depletion of ALDHhiSSClow primitive progenitor cells that co-express the stem cell markers CD133 and CD34 in individuals with ASCVD and/or T2D suggesting that diminished kidney function is associated with a decrease in vessel reparative pro-angiogenic progenitor cell content. Strategies that improve circulating VR cell content in individuals living with kidney and cardiometabolic disease may provide clinically meaningful benefits.Figure 1Table 1

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.040
GPT teacher head0.295
Teacher spread0.254 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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".

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Citations0
Published2023
Admission routes1
Has abstractyes

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