MicroRNAs as a Potential Quality Measurement Tool of Platelet Concentrate Stored in Blood Banks—A Review

Maués, Jersey Heitor da Silva; Moreira-Nunes, Caroline Aquino; Burbano, Rommel Rodrı́guez

doi:10.3390/cells8101256

Cited by 17 publications

(11 citation statements)

References 69 publications

(131 reference statements)

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“…This might suggest that our plasma preparations would be more biased, than our serum sEV preparations, towards containing platelet derived / activated platelet sEV derived miRNAs. Consistent with this possibility, the top two miRNAs that were most heavily biased towards our plasma derived preparations were hsa-miR-223-3p, which is the most abundant miRNA in platelets, and hsa-miR-24-3p, which is a biomarker for platelet activation [30] . Another possibility is that the different blood tube components in the tubes used for preparing serum and plasma have different impacts upon the number of sEVs produced from blood cells, and / or the miRNA expression in blood cells, which translates into differences in the miRNA composition of sEVs derived from them [31] .…”

Section: Discussionsupporting

confidence: 59%

Serum outperforms plasma in small extracellular vesicle microRNA biomarker studies of adenocarcinoma of the esophagus

Chiam

Mayne

Wang

et al. 2020

WJG

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BACKGROUND Circulating microRNAs (miRNAs) are potential biomarkers for many diseases. However, they can originate from non-disease specific sources, such as blood cells, and compromise the investigations for miRNA biomarkers. While small extracellular vesicles (sEVs) have been suggested to provide a purer source of circulating miRNAs for biomarkers discovery, the most suitable blood sample for sEV miRNA biomarker studies has not been defined. AIM To compare the miRNA profiles between matched serum and plasma sEV preparations to determine their suitability for biomarker studies. METHODS Matched serum and plasma samples were obtained from 10 healthy controls and 10 patients with esophageal adenocarcinoma. sEV isolates were prepared from serum and plasma using ExoQuick TM and quantified using NanoSight. RNA was extracted from sEV preparations with the miRNeasy Serum/Plasma kit and profiled using the Taqman Openarray qPCR. The overall miRNA content and the

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Section: Discussionsupporting

confidence: 59%

Serum outperforms plasma in small extracellular vesicle microRNA biomarker studies of adenocarcinoma of the esophagus

Chiam

Mayne

Wang

et al. 2020

WJG

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“…The let-7 family are amongst the most highly expressed miRNAs in platelets and are actively secreted in microvesicles [ 43 ]. Moreover, Let-7e has a potential role in platelet reactivity, platelet regulatory pathways and apoptosis and is linked to inflammatory response in vascular endothelial cells [ 44 , 45 ]. To date, the influence of Let-7e on antiplatelet treatment has not been studied.…”

Section: Discussionmentioning

confidence: 99%

MiR-126 Is an Independent Predictor of Long-Term All-Cause Mortality in Patients with Type 2 Diabetes Mellitus

Pordzik

Eyileten-Postula

Jakubik

et al. 2021

JCM

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MicroRNAs are endogenous non-coding RNAs that are involved in numerous biological processes through regulation of gene expression. The aim of our study was to determine the ability of several miRNAs to predict mortality and response to antiplatelet treatment among T2DM patients. Two hundred fifty-two patients with diabetes were enrolled in the study. Among the patients included, 26 (10.3%) patients died within a median observation time of 5.9 years. The patients were receiving either acetylsalicylic acid (ASA) 75 mg (65%), ASA 150 mg (15%) or clopidogrel (19%). Plasma miR-126, miR-223, miR-125a-3p and Let-7e expressions were assessed by quantitative real time PCR and compared between the patients who survived and those who died. Adjusted Cox-regression analysis was used for prediction of mortality. Differential miRNA expression due to different antiplatelet treatment was analyzed. After including all miRNAs into one multivariate Cox regression model, only miR-126 was predictive of future occurrence of long-term all-cause death (HR = 5.82, 95% CI: 1.3–24.9; p = 0.024). Furthermore, miR-126, Let-7e and miR-223 expressions in the clopidogrel group were significantly higher than in the ASA group (p = 0.014; p = 0.013; p = 0.028, respectively). To conclude, miR-126 expression is a strong and independent predictor of long-term all-cause mortality among patients with T2DM. Moreover, miR-223, miR-126 and Let-7e present significant interactions with antiplatelet treatment regimens and clinical outcomes.

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“…A limitation of this study is the relatively small number of miRNAs investigated, only 20 more expressed, among which, some have been intensively reviewed by the literature [ 7 , 30 , 64 , 65 , 66 ]. Our results also provided a panel of miRNAs that have had their functions elucidated in platelets such as miR-223 [ 24 , 66 ], miR-20a [ 23 ] miR-126 [ 67 ], miR-10a/miR-10b [ 68 ], miR-326 [ 69 ], miR-150/miR-501/miR-338-5p/miR-432-5p/miR-411-5p [ 21 ], miR-570 [ 18 ], miR-495 [ 70 ], and miR-21/miR-27b [ 71 ].…”

Section: Discussionmentioning

confidence: 99%

“…In our computational results obtained with sRNA-Seq, we analyzed miRNAs expressions according to the methodology described by Pontes et al [ 20 ] to check which PC bags were in good condition for transfusion. This method compared the relative expression between miR-127 and miR-320a [ 30 ]. When miR-127 presented a lower expression (<80%) as compared with miR-320a, storage lesions in this blood component were considered, suggesting the blockage of the PC bag for transfusion.…”

Section: Methodsmentioning

confidence: 99%

Computational Identification and Characterization of New microRNAs in Human Platelets Stored in a Blood Bank

2020

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Platelet concentrate (PC) transfusions are widely used to save the lives of patients who experience acute blood loss. MicroRNAs (miRNAs) comprise a class of molecules with a biological role which is relevant to the understanding of storage lesions in blood banks. We used a new approach to identify miRNAs in normal human platelet sRNA-Seq data from the GSE61856 repository. We identified a comprehensive miRNA expression profile, where we detected 20 of these transcripts potentially expressed in PCs stored for seven days, which had their expression levels analyzed with simulations of computational biology. Our results identified a new collection of miRNAs (miR-486-5p, miR-92a-3p, miR-103a-3p, miR-151a-3p, miR-181a-5p, and miR-221-3p) that showed a sensitivity expression pattern due to biological platelet changes during storage, confirmed by additional quantitative real-time polymerase chain reaction (qPCR) validation on 100 PC units from 500 healthy donors. We also identified that these miRNAs could transfer regulatory information on platelets, such as members of the let-7 family, by regulating the YOD1 gene, which is a deubiquitinating enzyme highly expressed in platelet hyperactivity. Our results also showed that the target genes of these miRNAs play important roles in signaling pathways, cell cycle, stress response, platelet activation and cancer. In summary, the miRNAs described in this study, have a promising application in transfusion medicine as potential biomarkers to also measure the quality and viability of the PC during storage in blood banks.

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MicroRNAs as a Potential Quality Measurement Tool of Platelet Concentrate Stored in Blood Banks—A Review

Cited by 17 publications

References 69 publications

Serum outperforms plasma in small extracellular vesicle microRNA biomarker studies of adenocarcinoma of the esophagus

Serum outperforms plasma in small extracellular vesicle microRNA biomarker studies of adenocarcinoma of the esophagus

MiR-126 Is an Independent Predictor of Long-Term All-Cause Mortality in Patients with Type 2 Diabetes Mellitus

Computational Identification and Characterization of New microRNAs in Human Platelets Stored in a Blood Bank

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