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Liu D, Yang W. The effect of oscillation depolymerization on ethylenediaminetetraacetic acid-dependent platelet aggregation samples: A cross-over study. Int J Lab Hematol 2024; 46:481-487. [PMID: 38323755 DOI: 10.1111/ijlh.14246] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Accepted: 01/18/2024] [Indexed: 02/08/2024]
Abstract
INTRODUCTION Ethylenediaminetetraacetic acid (EDTA)-dependent platelet aggregation (PA) can cause medical errors. Currently, there is no reliable method for completely solving this problem. This study aims to solve this problem that has plagued clinical practice for many years by using oscillation method. METHODS Sixty-one EDTA-PA samples were collected, divided, and disaggregated using the oscillation method at various times and speeds. The samples were analyzed using routine blood tests and blood smears. RESULTS Platelet counts (PLT) were increased significantly after oscillation. PLT in the 3000 rpm for 0.5 min group was significantly higher than that in the 500 rpm for 0.5 min group (p < 0. 01). After 3000 rpm oscillation, the PLT gradually increased with time, while compared with the 10-min group, the PLT in the 13-min group showed no significant differences. The effective disaggregation rates in the EDTA-PA samples using the oscillation method and sodium citrate anticoagulant were 96.72% and 65.57%, respectively. There were no significant changes in white blood cell (WBC) or red blood cell (RBC) counts or morphology after the use of the oscillation method. CONCLUSION The oscillation method effectively depolymerized EDTA-PA without adverse effects on WBC and RBC. The implementation of this technique promises to resolve the issue of EDTA-PA.
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Affiliation(s)
- Dan Liu
- Department of Laboratory Diagnostics, First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, People's Republic of China
| | - Wei Yang
- Department of Laboratory Diagnostics, First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, People's Republic of China
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Noel MM, Feugray G, Kasonga F, Buchonnet G, Daliphard S, Barbay V, Bera E, Le Cam Duchez V, Billoir P. Stability over time of immature platelet fraction and comparison between EDTA and citrated whole blood samples. J Clin Lab Anal 2023; 37:e24946. [PMID: 37475131 PMCID: PMC10492457 DOI: 10.1002/jcla.24946] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Revised: 06/22/2023] [Accepted: 07/10/2023] [Indexed: 07/22/2023] Open
Abstract
BACKGROUND Immature platelets (IP) are the youngest circulating platelets, released from megakaryocytes, and demonstrating increased dimensions, significant RNA content, and enhanced activity. Immature platelet research focuses on a differential diagnostic help in patients with thrombocytopenia. The objectives of this study were to compare the variability of IP in citrate and EDTA samples, and to determine stability over time. METHODS Fifty-six patients were included for comparison between EDTA and citrate whole blood sample collection. Among the patients, 28 had thrombocytopenia (platelet count < 150G/L). Platelet measurement impedancemetry and fluorimetry were performed with Sysmex XN-9000. The immature platelet fraction (IPF) and absolute immature platelet count (A-IPC) were determined with a fluorescent method. RESULTS The mean value of platelet count with fluorescence was, in EDTA sample, 215 ± 171 and, in citrate sample, 153 ± 118 G/L. No significant difference was observed between IPF between EDTA and citrate (7.74 ± 6.68% vs. 8.45 ± 7.37%, p = 0.69), respectively. With the Bland-Altman analysis, the mean difference in the EDTA sample, between 1 and 24 h, was 8.06 ± 6.96% and 8.73 ± 7.12% for IPF, whereas in the citrate sample, between 1 and 6 h, it was 8.60 ± 7.29% and 7.54 ± 6.97%, for IPF. Comparing 1 h EDTA sample with 6 h citrate sample, the variance ratio was 0.974 (95% CI: 0.864-1.084) in IPF. CONCLUSIONS We confirmed the potential to conduct IP measurements up to 24 h in the EDTA sample and IPF measurements in the citrate sample for up to 6 h. These results may be useful for the use of IPF, which is a promising parameter whose interest in clinical practice and standardization is not yet well defined.
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Affiliation(s)
| | - Guillaume Feugray
- Univ ROUENINSERM U1096RouenFrance
- General Biochemistry, CHU RouenRouenFrance
| | | | | | | | | | - Elsa Bera
- Rouen, France Hematology laboratoryCHU RouenRouenFrance
| | | | - Paul Billoir
- CHU RouenVascular Hemostasis UnitRouenFrance
- Univ ROUENINSERM U1096RouenFrance
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Soulard M, Croix P, Cohen P. Comparison of platelet count results on the Sysmex XN between citrate or MgSO 4 and K2 EDTA anticoagulants. Int J Lab Hematol 2023; 45:20-28. [PMID: 36093831 PMCID: PMC10087425 DOI: 10.1111/ijlh.13966] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Accepted: 08/13/2022] [Indexed: 01/18/2023]
Abstract
INTRODUCTION The aim of this study performed on Sysmex XN is to compare platelet values on citrate and MgSO4 (TBX) in patients with K2EDTA-induced platelet clusters and to identify platelet biases of these matrices compared to K2EDTA. METHODS Sixty patients with K2EDTA-induced platelet clusters were re-sampled with K2EDTA, citrate and TBX. Platelet results were then compared, and smears were analysed for clumping. Platelet results from 120 patients without K2EDTA-induced platelet clusters were compared between K2 EDTA, citrate, and MgSO4 with impedance and fluorescence modes. Biases from regressions were analysed. RESULTS Out of the 60 patients with K2EDTA-induced platelet clusters, none showed platelet clusters with MgSO4 whereas 50% still showed clusters with citrate. Among those without platelet clusters on citrate, the mean relative difference between (citrate- MgSO4 )/MgSO4 was -12.7% in impedance and -9.8% in fluorescence. Among the 120 patients without K2EDTA-induced platelet clusters, in fluorescence the mean relative bias with respect to K2EDTA was -2.06% for MgSO4 and -10.3% for Citrate. For the MgSO4 versus K2 EDTA regressions, the maximum absolute values of the 95% CI of the relative biases at 150 × 109 /L (5.45%) and 450 × 109 /L (3.56%) were below the desirable analytical objectives of the EFLM. CONCLUSION In patients with K2EDTA-induced platelet clusters, MgSO4 is preferable to citrate. MgSO4 provides a bias with XN in fluorescence when compared to EDTA which is within analytical tolerance.
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Affiliation(s)
- Michel Soulard
- Biogroup Hematology LaboratoryLa ChocolaterieLevallois PerretFrance
| | - Pascale Croix
- Biogroup Hematology LaboratoryLa ChocolaterieLevallois PerretFrance
| | - Patrick Cohen
- Division of Laboratory Medicine, Diagnostic DepartmentGeneva University Hospitals and Faculty of MedicineGenevaSwitzerland
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Yunga ST, Gower AJ, Melrose AR, Fitzgerald MK, Rajendran A, Lusardi TA, Armstrong RJ, Minnier J, Jordan KR, McCarty OJT, David LL, Wilmarth PA, Reddy AP, Aslan JE. Effects of ex vivo blood anticoagulation and preanalytical processing time on the proteome content of platelets. J Thromb Haemost 2022; 20:1437-1450. [PMID: 35253976 PMCID: PMC9887642 DOI: 10.1111/jth.15694] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Accepted: 03/03/2022] [Indexed: 02/03/2023]
Abstract
BACKGROUND Ex vivo assays of platelet function critically inform mechanistic and clinical hematology studies, where effects of divergent blood processing methods on platelet composition are apparent, but unspecified. OBJECTIVE Here, we evaluate how different blood anticoagulation options and processing times affect platelet function and protein content ex vivo. METHODS Parallel blood samples were collected from healthy human donors into sodium citrate, acid citrate dextrose, EDTA or heparin, and processed over an extended time course for functional and biochemical experiments, including platelet proteome quantification with multiplexed tandem mass tag (TMT) labeling and triple quadrupole mass spectrometry (MS). RESULTS Each anticoagulant had time-dependent effects on platelet function in whole blood. For instance, heparin enhanced platelet agonist reactivity, platelet-monocyte aggregate formation and platelet extracellular vesicle release, while EDTA increased platelet α-granule secretion. Following platelet isolation, TMT-MS quantified 3357 proteins amongst all prepared platelet samples. Altogether, >400 proteins were differentially abundant in platelets isolated from blood processed at 24 h versus 1 h post-phlebotomy, including proteins pertinent to membrane trafficking and exocytosis. Anticoagulant-specific effects on platelet proteomes included increased complement system and decreased α-granule proteins in platelets from EDTA-anticoagulated blood. Platelets prepared from heparinized blood had higher levels of histone and neutrophil-associated proteins in a manner related to neutrophil extracellular trap (NET) formation and platelet:NET interactions in whole blood ex vivo. CONCLUSION Our results demonstrate that different anticoagulants routinely used for blood collection have varying effects on platelets ex vivo, where methodology-associated alterations in platelet proteome may influence mechanistic, translational and biomarker studies.
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Affiliation(s)
- Samuel Tassi Yunga
- Cancer Early Detection Advanced Research Center (CEDAR), Knight Cancer Institute, School of Medicine; Oregon Health & Science University, 3181 SW Sam Jackson Park Road, Portland, OR 97239; USA
- Department of Biomedical Engineering, School of Medicine; Oregon Health & Science University, 3181 SW Sam Jackson Park Road, Portland, OR 97239; USA
| | - Austin J. Gower
- Cancer Early Detection Advanced Research Center (CEDAR), Knight Cancer Institute, School of Medicine; Oregon Health & Science University, 3181 SW Sam Jackson Park Road, Portland, OR 97239; USA
| | - Alexander R. Melrose
- Knight Cardiovascular Institute, Division of Cardiology, School of Medicine; Oregon Health & Science University, 3181 SW Sam Jackson Park Road, Portland, OR 97239; USA
| | - Meghan K. Fitzgerald
- Cancer Early Detection Advanced Research Center (CEDAR), Knight Cancer Institute, School of Medicine; Oregon Health & Science University, 3181 SW Sam Jackson Park Road, Portland, OR 97239; USA
| | - Ashmitha Rajendran
- Cancer Early Detection Advanced Research Center (CEDAR), Knight Cancer Institute, School of Medicine; Oregon Health & Science University, 3181 SW Sam Jackson Park Road, Portland, OR 97239; USA
| | - Theresa A. Lusardi
- Cancer Early Detection Advanced Research Center (CEDAR), Knight Cancer Institute, School of Medicine; Oregon Health & Science University, 3181 SW Sam Jackson Park Road, Portland, OR 97239; USA
| | - Randall J. Armstrong
- Cancer Early Detection Advanced Research Center (CEDAR), Knight Cancer Institute, School of Medicine; Oregon Health & Science University, 3181 SW Sam Jackson Park Road, Portland, OR 97239; USA
| | - Jessica Minnier
- Cancer Early Detection Advanced Research Center (CEDAR), Knight Cancer Institute, School of Medicine; Oregon Health & Science University, 3181 SW Sam Jackson Park Road, Portland, OR 97239; USA
- Knight Cardiovascular Institute, Division of Cardiology, School of Medicine; Oregon Health & Science University, 3181 SW Sam Jackson Park Road, Portland, OR 97239; USA
| | - Kelley R. Jordan
- Department of Biomedical Engineering, School of Medicine; Oregon Health & Science University, 3181 SW Sam Jackson Park Road, Portland, OR 97239; USA
| | - Owen J. T. McCarty
- Department of Biomedical Engineering, School of Medicine; Oregon Health & Science University, 3181 SW Sam Jackson Park Road, Portland, OR 97239; USA
| | - Larry L. David
- Proteomics Shared Resource; Oregon Health & Science University, 3181 SW Sam Jackson Park Road, Portland, OR 97239; USA
- Department of Chemical Physiology & Biochemistry, School of Medicine; Oregon Health & Science University, 3181 SW Sam Jackson Park Road, Portland, OR 97239; USA
| | - Phillip A. Wilmarth
- Proteomics Shared Resource; Oregon Health & Science University, 3181 SW Sam Jackson Park Road, Portland, OR 97239; USA
| | - Ashok P. Reddy
- Proteomics Shared Resource; Oregon Health & Science University, 3181 SW Sam Jackson Park Road, Portland, OR 97239; USA
| | - Joseph E. Aslan
- Department of Biomedical Engineering, School of Medicine; Oregon Health & Science University, 3181 SW Sam Jackson Park Road, Portland, OR 97239; USA
- Knight Cardiovascular Institute, Division of Cardiology, School of Medicine; Oregon Health & Science University, 3181 SW Sam Jackson Park Road, Portland, OR 97239; USA
- Department of Chemical Physiology & Biochemistry, School of Medicine; Oregon Health & Science University, 3181 SW Sam Jackson Park Road, Portland, OR 97239; USA
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