Deep Phenotypic Characterization of Primitive Stem and Progenitor Compartments Reveals the Cellular Architecture of Aplastic Anemia.
Bibliographic record
Abstract
Abstract Abstract 2370 Aplastic anemia (AA) encompasses a spectrum of marrow failure disorders that include paroxysmal nocturnal hematuria (PNH), myelodysplastic syndrom (MDS) and acute myeloid leukemia (AML). Despite advances in therapy, approximately a tenth of patients will evolve to severe MDS or AML. A major unresolved question is the nature of the initiating cell that eventually expands during the aplastic phase and gives rise to secondary disease. A critical first step to approach this problem is to characterize the primitive stem and progenitor compartment in AA, taking advantage of the recent advances in phenotypic profiling of primitive human hematopoiesis (Doulatov et al Cell Stem Cell 2012). To this end, we established a 12-parameter flow-sorting scheme for deep phenotypic characterization of the CD34 compartment in AA patients that we used to quantify the gains and losses of all major cellular entities during the aplastic phase. These studies represent the first comprehensive analysis of AA. In 7 out of 10 patients, the proportion of mature myeloid, B cells and NK cells was reduced by greater than 5 fold, whereas the percentage of T cells remained indistinguishable against controls. Within the CD34+CD38-primitive progenitor compartment, the relative number of CD38-CD90+CD45RA- hematopoietic stem cells (HSC) and multipotent progenitors (MPP) reduced. The CD34+CD38+ progenitor populations including common myeloid progenitors (CMP) and megakaryocyte erythroid progenitors (MEP) were either dramatically reduced (>5 fold) or virtually undetectable. Although we hypothesized that absence of phenotypic HSC would result in the absence of its immediate downstream progeny, this was not the case in most of patients. Within the CD34+CD38+ progenitor compartment, MEPs were the most affected population compare to CMPs or GMPs in more than 80% of cases. Interestingly we noticed in 8 of 12 patients, the proportion of granulocyte macrophage progenitors (GMP), defined by FLT3 and CD45RA expression, was unperturbed. To validate whether GMPs from AA patients were functional, we measured the in vitro colony forming capacity of GMP sorted populations. Clonal analyses of these cells in methylcellulose culture showed that these cells have similar potentials and cloning efficiency as normal donor cells. Cloning frequency, size of the clones and number of clones generated in methylcellulose and morphology was also comparable between GMPs from patients and normal donors. We then asked whether these GMPs are the result of a clonal expansion using mitochondrial DNA (MtDNA) analysis. This assay assesses the mutation rate of the D loop region of MtDNA from clones derived from single GMP cells from a patient or healthy donor to gain insight into the diversity within the clones. Our preliminary data suggest that the aplastic anemia GMPs share a closer ancestry compare to GMPs from healthy donor. The in depth quantification of the CD34+ compartment in AA patients that our study provides has directly established that phenotypically defined HSC are profoundly reduced, and this loss has a subsequent impact on downstream components of the hematopoietic hierarchy. The impact of HSC depletion is not a universal loss of progenitors, some progenitors can become overrepresented. Despite the small scale of this study, the overrepresentation of GMP versus other myeloid progenitors in patients with limited clonal heterogeneity suggests that GMP may be a potential candidate for the initiating cell that eventually evolves to MDS or AML. Disclosures: No relevant conflicts of interest to declare.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".