ArticleKorean circulation journal2015
Absence of Correlation between Changes in the Number of Endothelial Progenitor Cell Subsets.
Article in Korean circulation journal, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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.
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.
Who cites it
9 citing papers in PubMed, 14 citations in OpenAlex.
- AICAR and nicotinamide treatment synergistically augment the proliferation and attenuate senescence-associated changes in mesenchymal stromal cells.Stem cell research & therapy · 2020Article
- Expression Pattern of Telomerase Reverse Transcriptase (hTERT) Variants and Bcl-2 in Peripheral Lymphocytes of Systemic Lupus Erythematosus Patients.Iranian journal of pathology · 2020Article
- Global longitudinal strain as an Indicator of cardiac Iron overload in thalassemia patients.Cardiovascular ultrasound · 2019Article
- Reduced myocardial reserve in cirrhotic patients: an evaluation by dobutamine stress speckle tracking and tissue Doppler imaging (TDI) echocardiography.Journal of cardiovascular and thoracic research · 2019Article
- Purification of Stem Cells from Oral Pyogenic Granuloma Tissue.The open dentistry journal · 2018Article
- Low Dose Spironolactone Monotherapy in the Management of Stage I Essential Hypertension: A Pilot Randomized, Double-Blind, Placebo-Controlled Trial.Acta Cardiologica Sinica · 2018Article
- Increased serum levels of fractalkine and mobilisation of CD34Arthritis research & therapy · 2017Observational
- Role of CD146 Enrichment in Purification of Stem Cells Derived from Dental Pulp Polyp.Iranian endodontic journal · 2017Article
- The association of plasma high-sensitivity C-reactive protein level with rheumatic heart disease: The possible role of inflammation.Indian heart journalArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND AND
objectivesPreviously, various methodologies were used to enumerate the endothelial progenitor cells (EPCs). We now know that these methodologies enumerate at least three different EPC subsets: circulating angiogenic cells (CACs), colony-forming unit endothelial cells (CFU-ECs), and endothelial colony-forming cells (ECFCs). It is not clear whether there is a correlation between changes in the number of these subsets. The aim of the current study is to find an answer to this question. MATERIALS AND
methodsThe number of all EPC subsets was quantified in the peripheral blood of nine pregnant women in their first and third trimesters of pregnancy. We enumerated 14 cell populations by quantitative flow-cytometry using various combinations of the markers, CD34, CD133, CD309, and CD45, to cover most of the reported phenotypes of CACs and ECFCs. Culturing technique was used to enumerate the CFU-ECs. Changes in the number of cells were calculated by subtracting the number of cells in the first trimester peripheral blood from the number of cells in the third trimester peripheral blood, and correlations between these changes were analyzed.
resultsThe number of CFU-ECs did not correlate with the number of ECFCs and CACs. Also, CACs and ECFCs showed independent behaviors. However, the number of CACs showed a strong correlation with the number of CD133(+)CD309(+) cells (p=0.001) and a moderate correlation with the number of CD34(+)CD309(+) cells (p=0.042). Also, the number of ECFCs was correlated with the number of CD309(+)CD45(-) cells (p=0.029) and CD34(+)CD45(-) cells (p=0.03).
conclusionOur study showed that the three commonly used methods for quantifying EPC subsets represent different cells with independent behaviors. Also, any study that measured the number of EPCs using the flow cytometry method with a marker combination that lacks CD309 may be inaccurate.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.