Development and Validation of Pomalidomide Determination in Human Plasma by HPLC-MS/MS Method
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Introduction . B-cell malignancies of the plasma cell leads to the second most spread hematological malignancy disease, called multiple myeloma. Pomalidomide is used in case of previous multiple myeloma ineffective treatment. Pomalidomide is a thalidomide synthetic derived, approved as immunomodulatory drug by the Food and Drug Administration (FDA). Nowadays, detection of pomalidomide in blood plasma by high performance liquid chromatography tandem mass spectrometry (HPLC-MS/MS) is not spread. Moreover, the detection and the experimental setting accumulated data are varying greatly. This investigation provides development and validation of pomalidomide aiming to determine human blood plasma by HPLC-MS/MS method. The samples were processed by methanol protein precipitation. Aim . The aim of this study is to develop a method for the pomalidomide in human plasma by HPLC-MS/MS for pharmacokinetic studies. Materials and methods . Determination of pomalidomide in plasma by HPLC-MS/MS. The samples were processed by methanol protein precipitation. Results and discussion . This method was validated by next parameters: selectivity, matrix effect, calibration curve, accuracy, precision, spike recovery, lower limit of quantification, detection limit, carry-over and stability. Conclusion. The method of the determination of pomalidomide in human plasma was developed and validated by HPLC-MS/MS. The linearity in plasma sample was achieved in the concentration range of 1,00 – 500,00 ng/ml. Method could be applied to pomalidomide determination in plasma for PK and BE studies.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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) | 0.000 | 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 it