Polymorphisms in CYP3A5, CYP3A4, and ABCB1 genes: implications for calcineurin inhibitors therapy in hematopoietic cell transplantation recipients—a systematic review
Bibliographic record
Abstract
This systematic review assessed the impact of CYP3A5 , CYP3A4 , and ABCB1 polymorphisms on the pharmacokinetics and clinical outcomes of calcineurin inhibitors in hematopoietic cell transplantation (HCT) recipients. Following PRISMA 2020 guidelines, the protocol was registered in PROSPERO (CRD42024517094). A comprehensive search in PubMed, BVS, Scopus, Web of Science, Embase, and Cochrane databases (2013–2024) identified observational studies focusing on tacrolimus or cyclosporine and the specified polymorphisms. Studies on non-human subjects, solid organ transplants, pharmacokinetic models, and drug interactions were excluded. Narrative synthesis was employed due to heterogeneity, and study quality was evaluated using the Newcastle–Ottawa Scale (NOS) and STREGA guidelines. Of 301 records, 11 studies met inclusion criteria, predominantly retrospective and involving adult populations, with sample sizes ranging from 20 to 420 HCT recipients from the USA, Japan, and France. Outcomes included drug levels, median concentration/dose (C/D) ratio, therapeutic index, and clinical endpoints such as graft-versus-host disease (GVHD) and acute kidney injury (AKI). CYP3A5*3 (rs776746) significantly influenced tacrolimus levels, C/D ratio, and clinical outcomes, highlighting its potential as a pharmacogenetic biomarker. CYP3A4 and ABCB1 polymorphisms demonstrated limited effects on tacrolimus pharmacokinetics and no significant clinical impact. Methodological quality was high, with 55% of studies achieving the maximum NOS score, although gaps in error rates and population modeling were noted. Limitations include variability in outcomes precluding meta-analysis, a small number of studies, particularly on cyclosporine, and insufficient data on CYP3A4 and ABCB1 . Further research is necessary to validate findings. Systematic Review Registration https://www.crd.york.ac.uk/PROSPERO/view/CRD42024517094 , PROSPERO, CRD42024599998.
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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 | 0.008 | 0.027 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.009 | 0.008 |
| Bibliometrics | 0.008 | 0.009 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".