Translating red cell “omics” into new perspectives in transfusion medicine: mining the gems in the data mountains

Spitalnik, Steven L.; Devine, Dana V.

doi:10.1111/trf.15066

Cited by 4 publications

(4 citation statements)

References 20 publications

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“…18 To support this, specific variants in ankyrin and spectrin genes have been found related to osmotic hemolysis in vitro. 19 On the opposite side, storage hemolysis, the gold quality standard of hypothermic preservation of RBCs, is a multivariable phenotype, related to a wide array of biochemical, metabolic, physiological, lifestyle, and hormone parameters, 7,20 including osmotic hemolysis. 5 We have previously estimated that osmotic hemolysis contributes by 9%-10% to the total free hemoglobin content of the blood unit, 15 a rather significant proportion considering the multiparametric nature of storage hemolysis.…”

Section: Discussionmentioning

confidence: 99%

Osmotic hemolysis is a donor‐specific feature of red blood cells under various storage conditions and genetic backgrounds

et al. 2021

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Section: Discussionmentioning

confidence: 99%

Osmotic hemolysis is a donor‐specific feature of red blood cells under various storage conditions and genetic backgrounds

et al. 2021

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“…The RBCs are designated as a simple model to study cellular mechanisms due to less epigenetic, transcriptional and translational complications to regulate the cross-talk amongst various pathways [48][49][50]. However, recent omics studies highlight the existence of a complex network of cytosolic enzymes which regulate the energetics and functioning of RBCs [51,52]. Physical and pathological stresses can alter the metabolic equilibrium and accelerate disease progression.…”

Section: Discussionmentioning

confidence: 99%

Patients with sickle cell disease presented dysregulated plasma Rb/K ratio and Gamma-glutamyl cycle in red blood cells

Bhatt

Mohapatra

Meher

et al. 2023

Preprint

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Patients suffering from Sickle cell disease (SCD) present with multifactorial pathology, and a detailed understanding of it may help to develop novel therapeutics. In this study, the plasma elemental (24Mg, 44Ca, 57Fe, 63Cu, 66Zn, 77Se, 85Rb, 208Pb, and 39K) levels of SCD patients (n=10, male: 50%) and control groups (trait and healthy; n=10 each; male: 50%) were profiled using inductively coupled plasma mass spectrometry (ICP-MS). Additionally, comparative global erythrocyte metabolomics of SCD (n=5, male:100%) and healthy controls (n=5, male:100%) were carried out using liquid chromatography-mass spectrometry (LC-MS). SCD patients had higher plasma 24Mg, 44Ca, 66Zn, 208Pb, and 39K levels and lower levels of 57Fe, 77Se, and 85Rb compared to controls. These changes in elemental levels with a decreased Rb/K ratio, may explain the observed frequent hemolysis and severe dehydration with oxidative stress in the SCD group. Mass spectrometry analysis of RBCs (red blood cells) of SCD (n=5) and healthy controls (n=5) identified 442 unique metabolic features which separately clustered both the study groups in principal component analysis (PCA). A set of 136 features showed differential (p<0.05; log2fold change>+1 or -1) regulation and was involved in D-Glutamine/D-glutamate, Sphingolipid, Arginine biosynthesis, Glutathione and Glycine, serine and threonine metabolism. Interestingly, higher pyroglutamic acid levels were observed in the SS-RBCs (sickle shaped-RBC) indicating a perturbed gamma-glutamyl pathway in SCD patients. Supplementation of the depleted trace metals and targeting the perturbed metabolic pathways in the RBCs of SCD patients provides avenues for alternate therapeutics development.

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“…The concept of "precision transfusion medicine" was developed to move toward a future where blood donor selection, component processing and storage are optimized for transfusion recipients with the aim of improving blood safety and efficacy. [63][64][65] Knowledge generated from studies of linked datasets has the potential to change the way donors are selected and how components are processed, stored and allocated. By characterizing specific donor, component, and recipient factors, these analyses also provide evidence to guide the design and conduct of future clinical trials.…”

mentioning

confidence: 99%

“…neonates, sickle cell disease). The concept of 'precision transfusion medicine' was developed to move towards a future where blood donor selection, component processing and storage are optimized for transfusion recipients with the aim of improving blood safety and efficacy [63][64][65].…”

mentioning

confidence: 99%

Methodological considerations for linked blood donor‐component‐recipient analyses in transfusion medicine research

Roubinian

Kleinman

Murphy

et al. 2019

ISBT Science Series

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In recent years, there has been a concerted effort to improve our understanding of the quality and effectiveness of transfused blood components. The expanding use of large datasets built from electronic health records allows the investigation of potential benefits or adverse outcomes associated with transfusion therapy. Together with data collected on blood donors and components, these datasets permit an evaluation of associations between donor or blood component factors and transfusion recipient outcomes. Large linked donor-component recipient datasets provide the power to study exposures relevant to transfusion efficacy and safety, many of which would not otherwise be amenable to study for practical or sample size reasons. Analyses of these large blood banking-transfusion medicine datasets allow for characterization of the populations under study and provide an evidence base for future clinical studies. Knowledge generated from linked analyses have the potential to change the way donors are selected and how components are processed, stored and allocated. However, unrecognized confounding and biased statistical methods continue to be limitations in the study of transfusion exposures and patient outcomes. Results of observational studies of blood donor demographics, storage age, and transfusion practice have been conflicting. This review will summarize statistical and methodological challenges in the analysis of linked blood donor, component, and transfusion recipient outcomes.In the past three decades, there has been a concerted effort to improve our understanding of the quality, safety, and effectiveness of transfused blood components. [1][2][3] Significant research has focused on blood donors, on component manufacturing and storage, and optimal

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Translating red cell “omics” into new perspectives in transfusion medicine: mining the gems in the data mountains

Abstract: http://onlinelibrary.wiley.com/doi/10.1111/trf.14971/full

Cited by 4 publications

References 20 publications

Osmotic hemolysis is a donor‐specific feature of red blood cells under various storage conditions and genetic backgrounds

Osmotic hemolysis is a donor‐specific feature of red blood cells under various storage conditions and genetic backgrounds

Patients with sickle cell disease presented dysregulated plasma Rb/K ratio and Gamma-glutamyl cycle in red blood cells

Methodological considerations for linked blood donor‐component‐recipient analyses in transfusion medicine research

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