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Record W3213240658 · doi:10.1182/blood-2021-154403

Epor Stimulates Rapid Cycling and Larger Red Cells during Mouse and Human Erythropoiesis

2021· article· en· W3213240658 on OpenAlexfundno aff
Daniel Hidalgo, Jacob Bejder, Ramona Pop, Kyle Gellatly, Yung Hwang, S. Maxwell Scalf, Anna E. Eastman, Jane-Jane Chen, Lihua Julie Zhu, Jules A. A. C. Heuberger, Shangqin Guo, Mark J. Koury, Nikolai Baastrup Nordsborg, Merav Socolovsky

Bibliographic record

VenueBlood · 2021
Typearticle
Languageen
FieldMedicine
TopicErythrocyte Function and Pathophysiology
Canadian institutionsnot available
FundersWorld Anti-Doping AgencyNational Institutes of HealthPartnership for Clean CompetitionGentofte HospitalUniversity of Massachusetts
KeywordsErythropoietin receptorBiologyCell biologyCell cycleErythropoiesisErythropoietinFlow cytometrySignal transductionCellMolecular biologyGeneticsInternal medicineMedicine

Abstract

fetched live from OpenAlex

Abstract Erythroid terminal differentiation (ETD) entails cell divisions coupled to decreasing cell size. The tight link between the number of cell divisions and red cell size is apparent in nutritional deficiencies or genetic variants in which fewer cycles result in larger red cells. Here we investigated novel EpoR functions, finding that EpoR signaling disrupts the relationship between cell cycle number and cell size, simultaneously promoting rapid cycling and the formation of larger red cells. EpoR is essential for erythroblast survival, but it is unclear whether it has other non-redundant functions. To address this, we developed a genetic system in which we rescue mouse Epor -/- fetal liver progenitors from apoptosis by transduction with the anti-apoptotic protein Bcl-x L, and compare their ensuing differentiation with that of Epor -/- progenitors rescued with EpoR (Fig 1a). We found that the Bcl-x L survival signal, in the absence EpoR, supported formation of enucleated red cells. However, key ETD features were abnormal. First, Bcl-x L-transduced Epor -/- erythroblasts underwent slower and fewer cell cycles (Figure 1b), differentiating prematurely into enucleated red cells. Premature induction of the cyclin-dependent-kinase inhibitor p27 KIP1 was in part responsible for the fewer cycles in the absence of EpoR signaling. We confirmed that EpoR also stimulates rapid cycling in wild-type erythroblasts in vivo, using a mouse transgenic for a live-cell reporter of cell cycle speed. Second, using imaging flow cytometry, we found that Bcl-x L-transduced Epor -/- erythroblasts were smaller than EpoR-transduced Epor -/- cells (Fig 1c,d). By doubly transducing Epor -/- erythroblasts with both Bcl-x L and EpoR, we verified that EpoR absence, and not Bcl-x L overexpression, is responsible for the smaller size of Bcl-x L-transduced Epor -/- erythroblasts and reticulocytes. Bcl-x L-transduced Epor -/- erythroblasts failed to upregulate the transferrin receptor, suggesting that iron deficiency may be responsible for their smaller size. However, neither iron supplementation, nor transduction with the transferrin receptor, rescued their smaller size. Iron regulates cell size through Heme-regulated eIF2α kinase (HRI). To definitively test the role of iron and HRI, we generated mice doubly deleted for both EpoR and HRI. We then rescued both Epor -/- and Epor -/-Hri -/- -fetal liver cells in parallel, by transduction with either Bcl-x L or EpoR. In agreement with the known role of HRI as a negative regulator of erythroblast size, both Bcl-x L- transduced and EpoR-transduced erythroblasts were larger on the Epor -/-Hri -/- genetic background. However, the difference in size between Bcl-x L and EpoR-rescued erythroblasts persisted in Epor -/-Hri -/- erythroblasts and reticulocytes (Fig 1c,d), conclusively showing that EpoR signaling regulates cell size independently of the HRI pathway. EpoR promoted increased erythroblast and reticulocyte cell size in wild-type mice in vitro and in vivo, in response to Epo concentrations ranging from 10 to 10,000 mU/ml. We also evaluated the effect of Epo on red cell size in humans, in two independent studies, where healthy volunteers were administered Epo for either 3 weeks (20 IU /kg every 48 hours, 25 subjects, Study #1) or for 7 weeks (weekly Epo dosing that increased hemoglobin by 10 -15%; 24 subjects, Study #2). In a third intervention, 21 subjects participated in a randomized double-blind placebo-controlled crossover study in which 900 ml of whole blood was withdrawn from the treatment group by venipuncture. In all three studies, the increase in MCV in the treatment groups persisted long after Epo and reticulocyte levels returned to baseline (Figure 2). There was no correlation between MCV and the reticulocyte count, whose time courses were clearly divergent (r < 0.1, Pearson's product-moment correlation). Further, computational simulation suggests that the extent and duration of the increase in MCV is unlikely to be the result of skewing of the circulating red cell population in favor of younger, larger red cells. Our work reveals a paradoxical EpoR-driven increase in erythroblast cycling simultaneously with increased erythroblast and red cell size. It suggests that EpoR alters the relationship between cell cycle and biomass in erythroblasts. It further suggests that hypoxia, anemia and other high-Epo syndromes are new diagnostic interpretations of increased MCV in the clinic. Figure 1 Figure 1. Disclosures No relevant conflicts of interest to declare.

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)0.000
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 score0.077
Threshold uncertainty score0.415

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.014
GPT teacher head0.248
Teacher spread0.234 · 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

Citations5
Published2021
Admission routes1
Has abstractyes

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