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A flow cytometric approach to compare stem cell apoptosis in aplastic anemia and hypoplastic myelodysplastic syndrome

2024· article· en· W4403478805 on OpenAlexaff
Medhat Ibrahim, Ashraf Khodeary, Shereen P Aziz, Mahmoud Gaber, Asmaa Ahmed Abdelbaset, Tamer Mohamed, Sherif A. Sayed

Bibliographic record

VenueHematology/Oncology and Stem Cell Therapy · 2024
Typearticle
Languageen
FieldMedicine
TopicHematopoietic Stem Cell Transplantation
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsAplastic anemiaMedicineMyelodysplastic syndromesBone marrow failureFlow cytometryBone marrowAnemiaStem cellDiseasePathologyImmunologyInternal medicineBiologyHaematopoiesis

Abstract

fetched live from OpenAlex

BACKGROUND AND OBJECTIVES: Aplastic anemia (AA) is a disease caused by bone marrow (BM) failure. There are many similarities between AA and hypoplastic myelodysplastic syndrome (MDS); hence, differentiating them could be problematic. The current study aimed to use the new technique of flow cytometry as a possible diagnostic tool for AA and hypoplastic MDS. PATIENTS AND METHODS: The BM mononuclear cell (BMMC) and blood samples from 44 participants (17 patients with AA, 13 with hypoplastic MDS, and 14 healthy controls) were collected. The flow cytometric analysis of the cluster of differentiation 34 (CD34) levels and cell apoptosis was performed for all sample types. RESULTS: Patients with hypoplastic MDS showed a high percentage of CD34+ cells with low apoptosis, while those with AA showed a low percentage of CD34+ cells with high apoptosis. CONCLUSIONS: Despite the similarity in the clinical presentation of hypoplastic MDS and AA, they are biologically different disorders. Increased CD34+ cell numbers with high viability may provide a useful and accurate tool for the differential diagnosis of hypoplastic MDS from AA.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.244
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.025
GPT teacher head0.267
Teacher spread0.242 · 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.

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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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