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Record W4238137944 · doi:10.1097/qai.0b013e3182794759

Authors′ Reply

2012· letter· en· W4238137944 on OpenAlexaff
Dulcenombre Gómez‐Garré, Vicente Estrada, Adriana Ortega‐Hernández, Paloma Muñoz‐Pacheco, Sergio Serrano‐Villar, M. Camacho Ávila, Manuel Fuentes, Teresa Tejerina, Arturo Fernández‐Cruz

Bibliographic record

VenueJAIDS Journal of Acquired Immune Deficiency Syndromes · 2012
Typeletter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAngiogenesis and VEGF in Cancer
Canadian institutionsHypertension Canada
Fundersnot available
KeywordsProgenitor cellFlow cytometryCD34CD31ImmunologyPopulationEndothelial progenitor cellCluster of differentiationBiologyBone marrowHaematopoiesisImmunophenotypingEx vivoStem cellMedicineCellIn vivoCell biologyGeneticsImmunohistochemistry

Abstract

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To the Editors: We thank Dr Teofili and colleagues for their comments regarding our recent manuscript entitled “Association of HIV-Infection and Antiretroviral Therapy with Levels of Endothelial Progenitor Cells and Subclinical Atherosclerosis.”1 Endothelial progenitor cells (EPCs) are bone marrow derived cells characterized by the expression of both hematopoietic (CD34, CD133) and endothelial surface markers (such as KDR, VE-cadherin, CD31, and von Willebrand factor) and by their capacity to contribute to vascular homeostasis.2 In general, 2 approaches have been used to isolate and identify EPCs: (1) cell cultured assays from blood and (2) selection of subpopulations based on surface markers by flow cytometry. Culture assays may expand the cells, although it is unclear how cultured conditions may affect cell phenotypes. By flow cytometry, cell populations can be isolated without ex vivo manipulation, although there are no accepted surface markers that precisely identify the different subtypes of progenitor cells and standardized protocol of the technique.3,4 In the general population, an association between low levels of CD34+/KDR+ cells and increased carotid intima-media thickness has been identified.5 Consistently, previous data demonstrated that their levels independently predicted cardiovascular events in patients with different cardiovascular risk and even in healthy subjects.6 So, the aim of our study was to investigate whether this association could also occur in HIV-infected patients. We used the same methodology, flow cytometry, to make comparisons with previous studies, although acknowledging that the main limitation of our study was the lack of specific cell surface markers that precisely identify the different subtypes. In fact, most of the markers used to identify EPCs or smooth muscle progenitor cells (CD34, KDR, CD14, and α-SMA) can also be expressed by mesenchymal or hematopoietic cells.3,4 We acknowledge that many issues in the field of unequivocal molecular characterization of EPCs still remain unresolved. However, since the first identification of EPCs by Asahara et al7 in 1997, significant researches have been taken to reach a better definition and detailed functional characterization of these cells. In this sense, since the original study by Asahara et al proposing CD34 and KDR as markers of EPCs, many other articles have been published using this combination to identify EPCs. However, some studies have proposed that CD34+/KDR+ cells cannot be considered true EPCs because they do not convincingly differentiate in endothelial cells in vivo.2,3 Alternatively, endothelial colony forming cells (ECFCs), isolated by techniques based on cell cultures, have been proposed as the only cells that display all the properties of true EPCs,3,4 as has been noted by Teofili et al. Unfortunately, at present, no specific antigens have been identified that can unequivocally discriminate ECFCs from other circulating blood elements.3,4 Therefore, our study in a large population of HIV-infected patients would have not been feasible using a culture-based protocol. At present, there is a consensus that several cell types with different phenotypes may participate in revascularization process, initiating, facilitating, and regulating the incorporation of ECFCs to injured endothelium.4 So, to avoid confusion with the term EPCs, it has been proposed to strictly define all the cells involved in revascularization by their phenotypic and/or functional properties. In this sense, in our article, we have identified specific progenitor cells, and we have indicated that our conclusions should be restricted to these progenitor phenotypes. Assuming all these limitations, our data demonstrated that HIV-infected patients showed lower number of CD34+/KDR+ and CD34+/VE-cadherin+ cells than healthy subjects and that antiretroviral therapy (ART), mainly protease inhibitor-based regimen, is the most powerful predictor of their levels.1 These results confirm previous studies8,9 and extend them to other phenotypes of EPCs. On the opposite, 2 groups have reported that circulating EPCs (CD45dim/CD34+/KDR+ and CD34+/KDR+, respectively) are not reduced in ART-naive HIV-infected patients with respect to noninfected subjects.10 However, important differences between both studies and ours could account for these discrepancies. Costiniuk et al10 excluded from their study women, current smokers, and patients with established cardiovascular risk factors or receiving ART; these factors being important modifiers of EPC levels.1 More intricate, we cannot compare our data with those reported by Papasavvas et al11 because these authors used cryopreserved peripheral blood mononuclear cells. Teofili et al12 reported that circulating colony-forming unit-endothelial cells (CFU-ECs), but not ECFCs, were significantly reduced in HIV-positive patients. Interestingly, similar to CD34+/KDR+ cells, CFU-ECs cannot be considered true EPCs because of their low capacity of proliferation and endothelial differentiation.3,4 Finally, the measurement of EPCs as biomarkers, and any other, in large clinical studies requires simple, rapid, and reproducible methods as flow cytometry. Indeed, rather than being highly biologically informative, it is mandatory to demonstrate a strong statistical association with several clinical aspects of the disease. In this sense, EPCs, defined as CD34+/KDR+ cells, have been associated with the occurrence of a first major cardiovascular event in patients at different risks or even in healthy subjects.4–6 Moreover, restoration of EPC number and/or their functionality is possible through current therapies for cardiovascular risk factors,6 suggesting that they could also be a promising tools for measuring therapeutic efficacy. However, culture-based studies will allow continued understanding of EPC biology for using them as cellular regenerative therapies.

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)0.007
metaresearch head score (Gemma)0.067
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.031
Threshold uncertainty score0.060

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.067
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0010.001
Science and technology studies0.0030.004
Scholarly communication0.0050.007
Open science0.0040.004
Research integrity0.0310.045
Insufficient payload (model declined to judge)0.0180.015

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 head0.021
GPT teacher head0.269
Teacher spread0.248 · 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 designNot applicable
Domainnot available
GenreCommentary

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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Citations2
Published2012
Admission routes1
Has abstractyes

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