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Leukocyte Apoptosis and Mitochondrial Dysfunction in β-Thalassemia Patients Treated with Deferasirox or Deferoxamine.

2007· article· en· W2980006228 on OpenAlexaff
Patrick B. Walter, John B. Porter, Patricia Evans, Janet L. Kwiatkowski, Ellis J. Neufeld, Thomas D. Coates, Patricia J. Giardina, Robert W. Grady, Elliott Vichinsky, Nancy F. Olivieri, Felicia Trachtenberg, Daniele Alberti, Jaymes Holland, Ellen B. Fung, Bruce N. Ames, Annie Lui, Paul Harmatz

Bibliographic record

VenueBlood · 2007
Typearticle
Languageen
FieldMedicine
TopicHemoglobinopathies and Related Disorders
Canadian institutionsUniversity Health Network
Fundersnot available
KeywordsDeferasiroxDeferoxamineApoptosisThalassemiaMedicineInternal medicineMitochondrionBeta thalassemiaGastroenterologyImmunologyPharmacologyBiologyBiochemistry

Abstract

fetched live from OpenAlex

Abstract Iron overload has been shown to increase mitochondrial dysfunction and apoptosis and may be implicated in leukocyte apoptosis. We assessed whether markers of leukocyte apoptosis and mitochondrial dysfunction are higher in iron-overloaded thalassemia patients compared with control subjects and whether improvement in the control of iron overload with deferasirox or deferoxamine (DFO) is associated with a change in the level of apoptotic markers. Methods: Thalassemia Clinical Research Network patients participating in the Novartis CICL670A0107 trial (a randomized comparison of deferasirox, an oral iron chelator, vs. DFO) were eligible and 44 (25 male, 21.8 yrs) were enrolled in the study. Fasting blood samples were obtainedafter a 5-day washout of DFO prior to commencing treatment with study drug, and24 hours post-chelator at 1, 6, and 12 months on study. Thirty healthy controls matched for age, sex, race and antioxidant usage (15 male, 24.5 yrs) also supplied a blood sample at baseline. After blood collection, plasma, serum and cells were separated by centrifugation. The pro-apoptotic marker Bax (an inducer of mitochondrial dysfunction) and the anti-apoptotic marker Bcl-2 were determined by ELISA. A high ratio of Bax/Bcl-2 indicates decreased stability of the mitochondrial outer membrane and increased potential for mitochondrial dysfunction and apoptosis. Activity of caspase–3 and −9 (both pro-apoptotic) were determined by a luminescent enzyme activity assay and reported as the average relative light units (RLU)/μg protein. Apoptotic markers were log-transformed prior to analysis and means and % change are reported. Results: At baseline, thalassemia patients had elevated Bax compared to the controls (17.4 vs. 11.6 pg/μg protein, p = 0.006). Similarly the activity of caspase-3 and −9 was high relative to the controls (for caspase-3, 1823 vs. 1041 RLU/μg protein, p = 0.01; and for caspase-9, 2482 vs. 1322 RLU/μg protein, p = 0.001). In longitudinal analysis, liver iron concentration and ferritin declined in both treatment groups (p ≤ 0.02 for both). This paralleled a decline in the ratio of Bax/Bcl-2 (–27.3% /yr, average decline, p = 0.033) and ALT (–7.3% /yr, average decline, p = 0.040). There was no significant difference between chelators in the rate of change of these markers over time. Conclusions: These findings demonstrate that markers of leukocyte apoptosis and mitochondrial dysfunction are high in thalassemia compared to controls and that the Bax/Bcl-2 ratio (a marker of mitochondrial dysfunction in apoptosis) decreased with effective iron chelation. DFO and deferasirox showed equal effectiveness in decreasing iron burden, ALT and the ratio of Bax/Bcl-2. Thus, with effective chelation, it may be possible to improve leukocyte and mitochondrial function and the levels of apoptosis.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0010.000

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 head0.008
GPT teacher head0.217
Teacher spread0.209 · 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 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".

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Citations1
Published2007
Admission routes1
Has abstractyes

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