Literature DB >> 26662506

Metabolomics in transfusion medicine.

Travis Nemkov1, Kirk C Hansen1, Larry J Dumont2, Angelo D'Alessandro1.   

Abstract

Biochemical investigations on the regulatory mechanisms of red blood cell (RBC) and platelet (PLT) metabolism have fostered a century of advances in the field of transfusion medicine. Owing to these advances, storage of RBCs and PLT concentrates has become a lifesaving practice in clinical and military settings. There, however, remains room for improvement, especially with regard to the introduction of novel storage and/or rejuvenation solutions, alternative cell processing strategies (e.g., pathogen inactivation technologies), and quality testing (e.g., evaluation of novel containers with alternative plasticizers). Recent advancements in mass spectrometry-based metabolomics and systems biology, the bioinformatics integration of omics data, promise to speed up the design and testing of innovative storage strategies developed to improve the quality, safety, and effectiveness of blood products. Here we review the currently available metabolomics technologies and briefly describe the routine workflow for transfusion medicine-relevant studies. The goal is to provide transfusion medicine experts with adequate tools to navigate through the otherwise overwhelming amount of metabolomics data burgeoning in the field during the past few years. Descriptive metabolomics data have represented the first step omics researchers have taken into the field of transfusion medicine. However, to up the ante, clinical and omics experts will need to merge their expertise to investigate correlative and mechanistic relationships among metabolic variables and transfusion-relevant variables, such as 24-hour in vivo recovery for transfused RBCs. Integration with systems biology models will potentially allow for in silico prediction of metabolic phenotypes, thus streamlining the design and testing of alternative storage strategies and/or solutions.
© 2015 AABB.

Entities:  

Mesh:

Year:  2015        PMID: 26662506      PMCID: PMC5794012          DOI: 10.1111/trf.13442

Source DB:  PubMed          Journal:  Transfusion        ISSN: 0041-1132            Impact factor:   3.157


  103 in total

1.  Alterations of red blood cell metabolome during cold liquid storage of erythrocyte concentrates in CPD-SAGM.

Authors:  Federica Gevi; Angelo D'Alessandro; Sara Rinalducci; Lello Zolla
Journal:  J Proteomics       Date:  2012-03-20       Impact factor: 4.044

Review 2.  Anaerobic storage of red blood cells.

Authors:  Tatsuro Yoshida; Sergey S Shevkoplyas
Journal:  Blood Transfus       Date:  2010-10       Impact factor: 3.443

3.  Red blood cell storage in additive solution-7 preserves energy and redox metabolism: a metabolomics approach.

Authors:  Angelo D'Alessandro; Travis Nemkov; Kirk C Hansen; Zbigniew M Szczepiorkowski; Larry J Dumont
Journal:  Transfusion       Date:  2015-08-14       Impact factor: 3.157

Review 4.  Energy Metabolism and platelet responses.

Authors:  H Holmsen
Journal:  Vox Sang       Date:  1981       Impact factor: 2.144

5.  Studies on the preservation of human blood. II. The relationship of erythrocyte adenosine triphosphate levels and other in vitro measures to red cell storageability.

Authors:  R J Dern; G J Brewer; J J Wiorkowski
Journal:  J Lab Clin Med       Date:  1967-06

6.  The heritability of hemolysis in stored human red blood cells.

Authors:  Thomas J Van 't Erve; Brett A Wagner; Sean M Martin; C Michael Knudson; Robyn Blendowski; Mignon Keaton; Tracy Holt; John R Hess; Garry R Buettner; Kelli K Ryckman; Benjamin W Darbro; Jeffrey C Murray; Thomas J Raife
Journal:  Transfusion       Date:  2015-02-02       Impact factor: 3.157

7.  A metabolic model of human erythrocytes: practical application of the E-Cell Simulation Environment.

Authors:  Ayako Yachie-Kinoshita; Taiko Nishino; Hanae Shimo; Makoto Suematsu; Masaru Tomita
Journal:  J Biomed Biotechnol       Date:  2010-06-28

Review 8.  The red blood cell proteome and interactome: an update.

Authors:  Angelo D'Alessandro; Pier Giorgio Righetti; Lello Zolla
Journal:  J Proteome Res       Date:  2010-01       Impact factor: 4.466

9.  Effects of AS-3 nutrient-additive solution on 42 and 49 days of storage of red cells.

Authors:  T L Simon; C S Marcus; B A Myhre; E J Nelson
Journal:  Transfusion       Date:  1987 Mar-Apr       Impact factor: 3.157

10.  MetaboAnalyst 3.0--making metabolomics more meaningful.

Authors:  Jianguo Xia; Igor V Sinelnikov; Beomsoo Han; David S Wishart
Journal:  Nucleic Acids Res       Date:  2015-04-20       Impact factor: 16.971

View more
  36 in total

Review 1.  The red cell storage lesion(s): of dogs and men.

Authors:  Harvey G Klein
Journal:  Blood Transfus       Date:  2017-03       Impact factor: 3.443

2.  A three-minute method for high-throughput quantitative metabolomics and quantitative tracing experiments of central carbon and nitrogen pathways.

Authors:  Travis Nemkov; Kirk C Hansen; Angelo D'Alessandro
Journal:  Rapid Commun Mass Spectrom       Date:  2017-04-30       Impact factor: 2.419

3.  Metabolic effect of alkaline additives and guanosine/gluconate in storage solutions for red blood cells.

Authors:  Angelo D'Alessandro; Julie A Reisz; Rachel Culp-Hill; Herbert Korsten; Robin van Bruggen; Dirk de Korte
Journal:  Transfusion       Date:  2018-04-06       Impact factor: 3.157

Review 4.  Omics markers of the red cell storage lesion and metabolic linkage.

Authors:  Angelo D'alessandro; Travis Nemkov; Julie Reisz; Monika Dzieciatkowska; Matthew J Wither; Kirk C Hansen
Journal:  Blood Transfus       Date:  2017-03       Impact factor: 3.443

Review 5.  Purinergic control of red blood cell metabolism: novel strategies to improve red cell storage quality.

Authors:  Kaiqi Sun; Angelo D'alessandro; Yang Xia
Journal:  Blood Transfus       Date:  2017-04-12       Impact factor: 3.443

Review 6.  Red blood cell storage lesion: causes and potential clinical consequences.

Authors:  Tatsuro Yoshida; Michel Prudent; Angelo D'alessandro
Journal:  Blood Transfus       Date:  2019-01       Impact factor: 3.443

7.  Effects of aged stored autologous red blood cells on human plasma metabolome.

Authors:  Angelo D'Alessandro; Julie A Reisz; Yingze Zhang; Sarah Gehrke; Keisha Alexander; Tamir Kanias; Darrell J Triulzi; Chenell Donadee; Suchitra Barge; Jessica Badlam; Shilpa Jain; Michael G Risbano; Mark T Gladwin
Journal:  Blood Adv       Date:  2019-03-26

8.  Effects of red blood cell (RBC) transfusion on sickle cell disease recipient plasma and RBC metabolism.

Authors:  Rachel Culp-Hill; Amudan J Srinivasan; Sarah Gehrke; Reed Kamyszek; Andrea Ansari; Nirmish Shah; Ian Welsby; Angelo D'Alessandro
Journal:  Transfusion       Date:  2018-09-28       Impact factor: 3.157

Review 9.  Red blood cell storage time and transfusion: current practice, concerns and future perspectives.

Authors:  María García-Roa; María Del Carmen Vicente-Ayuso; Alejandro M Bobes; Alexandra C Pedraza; Ataúlfo González-Fernández; María Paz Martín; Isabel Sáez; Jerard Seghatchian; Laura Gutiérrez
Journal:  Blood Transfus       Date:  2017-05       Impact factor: 3.443

10.  Heterogeneity of blood processing and storage additives in different centers impacts stored red blood cell metabolism as much as storage time: lessons from REDS-III-Omics.

Authors:  Angelo D'Alessandro; Rachel Culp-Hill; Julie A Reisz; Mikayla Anderson; Xiaoyun Fu; Travis Nemkov; Sarah Gehrke; Connie Zheng; Tamir Kanias; Yuelong Guo; Grier Page; Mark T Gladwin; Steve Kleinman; Marion Lanteri; Mars Stone; Michael Busch; James C Zimring
Journal:  Transfusion       Date:  2018-10-24       Impact factor: 3.157

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.