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Published in: Malaria Journal 1/2021

Open Access 01-12-2021 | Plasmodium Falciparum | Research

Inter-study and time-dependent variability of metabolite abundance in cultured red blood cells

Authors: Shivendra G. Tewari, Krithika Rajaram, Russell P. Swift, Bobby Kwan, Jaques Reifman, Sean T. Prigge, Anders Wallqvist

Published in: Malaria Journal | Issue 1/2021

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Abstract

Background

Cultured human red blood cells (RBCs) provide a powerful ex vivo assay platform to study blood-stage malaria infection and propagation. In recent years, high-resolution metabolomic methods have quantified hundreds of metabolites from parasite-infected RBC cultures under a variety of perturbations. In this context, the corresponding control samples of the uninfected culture systems can also be used to examine the effects of these perturbations on RBC metabolism itself and their dependence on blood donors (inter-study variations).

Methods

Time-course datasets from five independent studies were generated and analysed, maintaining uninfected RBCs (uRBC) at 2% haematocrit for 48 h under conditions originally designed for parasite cultures. Using identical experimental protocols, quadruplicate samples were collected at six time points, and global metabolomics were employed on the pellet fraction of the uRBC cultures. In total, ~ 500 metabolites were examined across each dataset to quantify inter-study variability in RBC metabolism, and metabolic network modelling augmented the analyses to characterize the metabolic state and fluxes of the RBCs.

Results

To minimize inter-study variations unrelated to RBC metabolism, an internal standard metabolite (phosphatidylethanolamine C18:0/20:4) was identified with minimal variation in abundance over time and across all the samples of each dataset to normalize the data. Although the bulk of the normalized data showed a high degree of inter-study consistency, changes and variations in metabolite levels from individual donors were noted. Thus, a total of 24 metabolites were associated with significant variation in the 48-h culture time window, with the largest variations involving metabolites in glycolysis and synthesis of glutathione. Metabolic network analysis was used to identify the production of superoxide radicals in cultured RBCs as countered by the activity of glutathione oxidoreductase and synthesis of reducing equivalents via the pentose phosphate pathway. Peptide degradation occurred at a rate that is comparable with central carbon fluxes, consistent with active degradation of methaemoglobin, processes also commonly associated with storage lesions in RBCs.

Conclusions

The bulk of the data showed high inter-study consistency. The collected data, quantification of an expected abundance variation of RBC metabolites, and characterization of a subset of highly variable metabolites in the RBCs will help in identifying non-specific changes in metabolic abundances that may obscure accurate metabolomic profiling of Plasmodium falciparum and other blood-borne pathogens.
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Literature
1.
go back to reference WHO. World Malaria Report 2019. Geneva: World Health Organization; 2019. WHO. World Malaria Report 2019. Geneva: World Health Organization; 2019.
2.
go back to reference Higgins JM. Red blood cell population dynamics. Clin Lab Med. 2015;35:43–57.CrossRef Higgins JM. Red blood cell population dynamics. Clin Lab Med. 2015;35:43–57.CrossRef
3.
go back to reference Lutz HU, Bogdanova A. Mechanisms tagging senescent red blood cells for clearance in healthy humans. Front Physiol. 2013;4:387.CrossRef Lutz HU, Bogdanova A. Mechanisms tagging senescent red blood cells for clearance in healthy humans. Front Physiol. 2013;4:387.CrossRef
4.
go back to reference Cobbold SA, Chua HH, Nijagal B, Creek DJ, Ralph SA, McConville MJ. Metabolic dysregulation induced in Plasmodium falciparum by dihydroartemisinin and other front-line antimalarial drugs. J Infect Dis. 2016;213:276–86.CrossRef Cobbold SA, Chua HH, Nijagal B, Creek DJ, Ralph SA, McConville MJ. Metabolic dysregulation induced in Plasmodium falciparum by dihydroartemisinin and other front-line antimalarial drugs. J Infect Dis. 2016;213:276–86.CrossRef
5.
go back to reference Creek DJ, Chua HH, Cobbold SA, Nijagal B, MacRae JI, Dickerman BK, et al. Metabolomics-based screening of the malaria box reveals both novel and established mechanisms of action. Antimicrob Agents Chemother. 2016;60:6650–63.CrossRef Creek DJ, Chua HH, Cobbold SA, Nijagal B, MacRae JI, Dickerman BK, et al. Metabolomics-based screening of the malaria box reveals both novel and established mechanisms of action. Antimicrob Agents Chemother. 2016;60:6650–63.CrossRef
6.
go back to reference Babbitt SE, Altenhofen L, Cobbold SA, Istvan ES, Fennell C, Doerig C, et al. Plasmodium falciparum responds to amino acid starvation by entering into a hibernatory state. Proc Natl Acad Sci USA. 2012;109:E3278–87.CrossRef Babbitt SE, Altenhofen L, Cobbold SA, Istvan ES, Fennell C, Doerig C, et al. Plasmodium falciparum responds to amino acid starvation by entering into a hibernatory state. Proc Natl Acad Sci USA. 2012;109:E3278–87.CrossRef
7.
go back to reference Tewari SG, Rajaram K, Schyman P, Swift R, Reifman J, Prigge ST, et al. Short-term metabolic adjustments in Plasmodium falciparum counter hypoxanthine deprivation at the expense of long-term viability. Malar J. 2019;8:86.CrossRef Tewari SG, Rajaram K, Schyman P, Swift R, Reifman J, Prigge ST, et al. Short-term metabolic adjustments in Plasmodium falciparum counter hypoxanthine deprivation at the expense of long-term viability. Malar J. 2019;8:86.CrossRef
8.
go back to reference Swift RP, Rajaram K, Liu HB, Dziedzic A, Jedlicka AE, Roberts AD, et al. A mevalonate bypass system facilitates elucidation of plastid biology in malaria parasites. PLoS Pathog. 2020;16:e1008316.CrossRef Swift RP, Rajaram K, Liu HB, Dziedzic A, Jedlicka AE, Roberts AD, et al. A mevalonate bypass system facilitates elucidation of plastid biology in malaria parasites. PLoS Pathog. 2020;16:e1008316.CrossRef
9.
go back to reference Tewari SG, Swift RP, Reifman J, Prigge ST, Wallqvist A. Metabolic alterations in the erythrocyte during blood-stage development of the malaria parasite. Malar J. 2020;19:94.CrossRef Tewari SG, Swift RP, Reifman J, Prigge ST, Wallqvist A. Metabolic alterations in the erythrocyte during blood-stage development of the malaria parasite. Malar J. 2020;19:94.CrossRef
10.
go back to reference Tewari SG, Rajaram K, Swift RP, Reifman J, Prigge ST, Wallqvist A. Metabolic survival adaptations of Plasmodium falciparum exposed to sublethal doses of fosmidomycin. Antimicrob Agents Chemother. 2021;65:e02392-e2420.CrossRef Tewari SG, Rajaram K, Swift RP, Reifman J, Prigge ST, Wallqvist A. Metabolic survival adaptations of Plasmodium falciparum exposed to sublethal doses of fosmidomycin. Antimicrob Agents Chemother. 2021;65:e02392-e2420.CrossRef
11.
go back to reference Wallqvist A, Fang X, Tewari SG, Ye P, Reifman J. Metabolic host responses to malarial infection during the intraerythrocytic developmental cycle. BMC Syst Biol. 2016;10:58.CrossRef Wallqvist A, Fang X, Tewari SG, Ye P, Reifman J. Metabolic host responses to malarial infection during the intraerythrocytic developmental cycle. BMC Syst Biol. 2016;10:58.CrossRef
12.
go back to reference Lee J, Park J, Lim MS, Seong SJ, Seo JJ, Park SM, et al. Quantile normalization approach for liquid chromatography-mass spectrometry-based metabolomic data from healthy human volunteers. Anal Sci. 2012;28:801–5.CrossRef Lee J, Park J, Lim MS, Seong SJ, Seo JJ, Park SM, et al. Quantile normalization approach for liquid chromatography-mass spectrometry-based metabolomic data from healthy human volunteers. Anal Sci. 2012;28:801–5.CrossRef
13.
go back to reference Wulff JE, Mitchell MW. A comparison of various normalization methods for LC/MS metabolomics data. Adv Biosci Biotechnol. 2018;9:339–51.CrossRef Wulff JE, Mitchell MW. A comparison of various normalization methods for LC/MS metabolomics data. Adv Biosci Biotechnol. 2018;9:339–51.CrossRef
14.
go back to reference Bordbar A, Jamshidi N, Palsson BO. iAB-RBC-283: a proteomically derived knowledge-base of erythrocyte metabolism that can be used to simulate its physiological and patho-physiological states. BMC Syst Biol. 2011;5:110.CrossRef Bordbar A, Jamshidi N, Palsson BO. iAB-RBC-283: a proteomically derived knowledge-base of erythrocyte metabolism that can be used to simulate its physiological and patho-physiological states. BMC Syst Biol. 2011;5:110.CrossRef
15.
go back to reference Schellenberger J, Lewis NE, Palsson BO. Elimination of thermodynamically infeasible loops in steady-state metabolic models. Biophys J. 2011;100:544–53.CrossRef Schellenberger J, Lewis NE, Palsson BO. Elimination of thermodynamically infeasible loops in steady-state metabolic models. Biophys J. 2011;100:544–53.CrossRef
16.
go back to reference Allman EL, Painter HJ, Samra J, Carrasquilla M, Llinas M. Metabolomic profiling of the malaria box reveals antimalarial target pathways. Antimicrob Agents Chemother. 2016;60:6635–49.CrossRef Allman EL, Painter HJ, Samra J, Carrasquilla M, Llinas M. Metabolomic profiling of the malaria box reveals antimalarial target pathways. Antimicrob Agents Chemother. 2016;60:6635–49.CrossRef
17.
go back to reference Piehowski PD, Petyuk VA, Orton DJ, Xie F, Moore RJ, Ramirez-Restrepo M, et al. Sources of technical variability in quantitative LC-MS proteomics: human brain tissue sample analysis. J Proteome Res. 2013;12:2128–37.CrossRef Piehowski PD, Petyuk VA, Orton DJ, Xie F, Moore RJ, Ramirez-Restrepo M, et al. Sources of technical variability in quantitative LC-MS proteomics: human brain tissue sample analysis. J Proteome Res. 2013;12:2128–37.CrossRef
18.
go back to reference Whillier S, Garcia B, Chapman BE, Kuchel PW, Raftos JE. Glutamine and alpha-ketoglutarate as glutamate sources for glutathione synthesis in human erythrocytes. FEBS J. 2011;278:3152–63.CrossRef Whillier S, Garcia B, Chapman BE, Kuchel PW, Raftos JE. Glutamine and alpha-ketoglutarate as glutamate sources for glutathione synthesis in human erythrocytes. FEBS J. 2011;278:3152–63.CrossRef
19.
go back to reference Kuhn V, Diederich L, Keller TCST, Kramer CM, Luckstadt W, Panknin C, et al. Red blood cell function and dysfunction: redox regulation, nitric oxide metabolism, anemia. Antioxid Redox Signal. 2017;26:718–42.CrossRef Kuhn V, Diederich L, Keller TCST, Kramer CM, Luckstadt W, Panknin C, et al. Red blood cell function and dysfunction: redox regulation, nitric oxide metabolism, anemia. Antioxid Redox Signal. 2017;26:718–42.CrossRef
20.
go back to reference Fagan JM, Waxman L, Goldberg AL. Red blood cells contain a pathway for the degradation of oxidant-damaged hemoglobin that does not require ATP or ubiquitin. J Biol Chem. 1986;261:5705–13.CrossRef Fagan JM, Waxman L, Goldberg AL. Red blood cells contain a pathway for the degradation of oxidant-damaged hemoglobin that does not require ATP or ubiquitin. J Biol Chem. 1986;261:5705–13.CrossRef
21.
go back to reference Buchweitz LF, Yurkovich JT, Blessing C, Kohler V, Schwarzkopf F, King ZA, et al. Visualizing metabolic network dynamics through time-series metabolomic data. BMC Bioinform. 2020;21:130.CrossRef Buchweitz LF, Yurkovich JT, Blessing C, Kohler V, Schwarzkopf F, King ZA, et al. Visualizing metabolic network dynamics through time-series metabolomic data. BMC Bioinform. 2020;21:130.CrossRef
22.
go back to reference King ZA, Drager A, Ebrahim A, Sonnenschein N, Lewis NE, Palsson BO. Escher: a web application for building, sharing, and embedding data-rich visualizations of biological pathways. PLoS Comput Biol. 2015;11:e1004321.CrossRef King ZA, Drager A, Ebrahim A, Sonnenschein N, Lewis NE, Palsson BO. Escher: a web application for building, sharing, and embedding data-rich visualizations of biological pathways. PLoS Comput Biol. 2015;11:e1004321.CrossRef
23.
go back to reference van Wijk R, van Solinge WW. The energy-less red blood cell is lost: erythrocyte enzyme abnormalities of glycolysis. Blood. 2005;106:4034–42.CrossRef van Wijk R, van Solinge WW. The energy-less red blood cell is lost: erythrocyte enzyme abnormalities of glycolysis. Blood. 2005;106:4034–42.CrossRef
24.
go back to reference Patel S, Jose A, Mohiuddin SS. Physiology, oxygen transport and carbon dioxide dissociation curve. In: StatPearls. Treasure Island (FL): StatPearls Publishing LLC; 2020. Patel S, Jose A, Mohiuddin SS. Physiology, oxygen transport and carbon dioxide dissociation curve. In: StatPearls. Treasure Island (FL): StatPearls Publishing LLC; 2020.
25.
go back to reference Trager W, Jensen JB. Human malaria parasites in continuous culture. Science. 1976;193:673–5.CrossRef Trager W, Jensen JB. Human malaria parasites in continuous culture. Science. 1976;193:673–5.CrossRef
26.
go back to reference Olszewski KL, Morrisey JM, Wilinski D, Burns JM, Vaidya AB, Rabinowitz JD, et al. Host-parasite interactions revealed by Plasmodium falciparum metabolomics. Cell Host Microbe. 2009;5:191–9.CrossRef Olszewski KL, Morrisey JM, Wilinski D, Burns JM, Vaidya AB, Rabinowitz JD, et al. Host-parasite interactions revealed by Plasmodium falciparum metabolomics. Cell Host Microbe. 2009;5:191–9.CrossRef
27.
go back to reference Sana TR, Gordon DB, Fischer SM, Tichy SE, Kitagawa N, Lai C, et al. Global mass spectrometry based metabolomics profiling of erythrocytes infected with Plasmodium falciparum. PLoS ONE. 2013;8:e60840.CrossRef Sana TR, Gordon DB, Fischer SM, Tichy SE, Kitagawa N, Lai C, et al. Global mass spectrometry based metabolomics profiling of erythrocytes infected with Plasmodium falciparum. PLoS ONE. 2013;8:e60840.CrossRef
28.
go back to reference Couto N, Wood J, Barber J. The role of glutathione reductase and related enzymes on cellular redox homoeostasis network. Free Radic Biol Med. 2016;95:27–42.CrossRef Couto N, Wood J, Barber J. The role of glutathione reductase and related enzymes on cellular redox homoeostasis network. Free Radic Biol Med. 2016;95:27–42.CrossRef
29.
go back to reference Maren TH. Carbonic anhydrase: chemistry, physiology, and inhibition. Physiol Rev. 1967;47:595–781.CrossRef Maren TH. Carbonic anhydrase: chemistry, physiology, and inhibition. Physiol Rev. 1967;47:595–781.CrossRef
30.
go back to reference Spillman NJ, Kirk K. The malaria parasite cation ATPase PfATP4 and its role in the mechanism of action of a new arsenal of antimalarial drugs. Int J Parasitol Drugs Drug Resist. 2015;5:149–62.CrossRef Spillman NJ, Kirk K. The malaria parasite cation ATPase PfATP4 and its role in the mechanism of action of a new arsenal of antimalarial drugs. Int J Parasitol Drugs Drug Resist. 2015;5:149–62.CrossRef
31.
go back to reference Garcia-Roa M, Del Carmen V-A, Bobes AM, Pedraza AC, Gonzalez-Fernandez A, Martin MP, et al. Red blood cell storage time and transfusion: current practice, concerns and future perspectives. Blood Transfus. 2017;15:222–31.PubMedPubMedCentral Garcia-Roa M, Del Carmen V-A, Bobes AM, Pedraza AC, Gonzalez-Fernandez A, Martin MP, et al. Red blood cell storage time and transfusion: current practice, concerns and future perspectives. Blood Transfus. 2017;15:222–31.PubMedPubMedCentral
Metadata
Title
Inter-study and time-dependent variability of metabolite abundance in cultured red blood cells
Authors
Shivendra G. Tewari
Krithika Rajaram
Russell P. Swift
Bobby Kwan
Jaques Reifman
Sean T. Prigge
Anders Wallqvist
Publication date
01-12-2021
Publisher
BioMed Central
Published in
Malaria Journal / Issue 1/2021
Electronic ISSN: 1475-2875
DOI
https://doi.org/10.1186/s12936-021-03780-5

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