| Literature DB >> 36258728 |
Wessam Elgendy1, Rania Swelem1, Noha Aboudiba1, Reham Abo Elwafa1.
Abstract
Platelet transfusion is crucial in the management of various conditions such as quantitative and qualitative platelet disorders. A serious problem that impacts public health is the shortage of Platelet concentrates (PCs) that frequently affect few blood donors' countries, such as Egypt. This has necessitated the need to establish novel standards for determining the quality of PC during storage. It was found that microRNAs (miRNA) differential expression profile is a helpful tool for recognition of physiological platelet changes during storage. The aim of the current study was to highlight the role of platelet miRNA-326 and its putative target apoptotic genes, Bcl-xL and Bak, and their role in platelet storage lesion (PSL). Differential expression of miRNA-326 and its target genes in the apoptotic pathway, Bcl-xL and Bak was done using quantitative real time PCR (QR-PCR) on different storage points at day 0, day 3 and day 5 in blood bank. The results of the current study revealed over expression of miRNA-326 throughout days of storage resulted in down regulation of Bcl-xL gene and subsequently up regulation of Bak gene. MiRNA-326 contributes to platelet apoptosis and PSL through inhibition of anti-apoptotic Bcl-xL expression and enhancing pro-apoptotic Bak expression. Differential miRNA-326 and its target gene, Bcl-xL and Bak, expression levels at different points of platelets storage are promising tools as biomarkers for platelets undergoing PSL in blood banks.Entities:
Keywords: Apoptosis; Bak; Bcl-xL; MiRNA; MiRNA-326; Platelet concentrates; Platelets storage lesion
Year: 2022 PMID: 36258728 PMCID: PMC9569255 DOI: 10.1007/s12288-022-01542-0
Source DB: PubMed Journal: Indian J Hematol Blood Transfus ISSN: 0971-4502 Impact factor: 0.915
Relative quantitative expression of miRNA-326, Bcl-xL and Bak gene at different points of storage in blood bank
| Day 0 | Day 3 | Day 5 | Test of Sig | ||
|---|---|---|---|---|---|
| Mean ± SD | 1.04c ± 0.30 | 3.04b ± 1.05 | 6.34a ± 1.49 | F = 277.508* | < 0.001* |
Median (Min. – Max.) | 0.94 (0.52 – 1.74) | 3.02 (1.77 – 7.06) | 6.26 (3.89 – 9.71) | ||
| Sig. bet. periods | |||||
| Mean ± SD | 1.15 ± 0.66 | 4.37 ± 2.52 | 7.10 ± 4.09 | Fr = 100.0* | < 0.001* |
Median (Min. – Max.) | 0.99c (0.37 – 4.02) | 3.77b (1.41 – 15.32) | 6.12a (2.29 – 24.89) | ||
| Sig. bet. periods | |||||
| Mean ± SD | 1.092a ± 0.432 | 0.180b ± 0.071 | 0.011c ± 0.004 | F = 282.468* | < 0.001* |
Median (Min. – Max.) | 1.004 (0.127–2.282) | 0.166 (0.021– 0.376) | 0.010 (0.001– 0.024) | ||
| Sig. bet. periods | |||||
F: F test (ANOVA) with repeated measures, Sig. between periods was done using Post Hoc Test (adjusted Bonferroni)
Fr: Friedman test, Sig. between periods was done using Post Hoc Test (Dunn's)
p: p value for comparing between the studied periods
p1: p value for comparing between Day 0 and Day 3
p2: p value for comparing between Day 0 and Day 5
p3: p value for comparing between Day 3 and Day 5
*Statistically significant at p ≤ 0.05
Means /Medians with Different letters are significant
Fig. 1Correlation between miRNA-326 and Bcl-xL
Correlation between miRNA-326, Bak and Bcl-xL gene expression at different points of storage in blood banks
| Day 0 | Day 3 | Day 5 | ||||
|---|---|---|---|---|---|---|
| r | r | r | ||||
| miRNA-326vs.Bak | 0.308 | 0.030* | 0.428 | 0.002* | 0.351 | 0.012* |
| miRNA-326vs.Bcl-xL | − 0.342 | 0.015* | − 0.303 | 0.033* | − 0.289 | 0.042* |
| Bak vs. Bcl-xL | − 0.021 | 0.887 | − 0.170 | 0.237 | − 0.078 | 0.589 |
r: Pearson coefficient
*Statistically significant at p ≤ 0.05
Fig. 2Correlation between miRNA-326 and Bak