Introduction of BD Vacutainer® Barricor™ tubes in clinical biobanking and application of amino acid and cytokine quality indicators to Barricor plasma
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Nadine Knutti
, Sophie Neugebauer
, Franziska Scherr , Conny Mathay , Monica Marchese , Estelle Henry , Julia Palm , Fay Betsou und Michael Kiehntopf
Abstract
Objectives
The use of BD Vacutainer® Barricor™ tubes (BAR) can reduce turnaround time (TAT) and improve separation of plasma from cellular components using a specific mechanical separator. Concentrations of amino acids (AAs) and cytokines, known to be labile during pre-analytical time delays, were compared in heparin (BAR, BD Heparin standard tube [PST]), EDTA and serum gel tubes (SER) to validate previously identified quality indicators (QIs) in BAR.
Methods
Samples of healthy individuals (n=10) were collected in heparin, EDTA and SER tubes and exposed to varying pre- and post-centrifugation delays at room temperature (RT). Cytokines (interleukin [IL]-8, IL-16 and sCD40L) were analyzed by enzyme-linked immunosorbent assay (ELISA) and AAs were characterized by liquid chromatography coupled to tandem mass spectrometry (LC-MS/MS).
Results
All QIs, AAs/AA ratio and cytokines increased during prolonged blood storage in heparin plasma (PST, BAR) and SER tubes. Comparison of 53 h/1 h pre-centrifugation delay resulted in an increase in taurine (Tau) and glutamic acid (Glu) concentrations by more than three times, soluble CD40L increased by 13.6, 9.2 and 4.3 fold in PST, BAR-CTRL and BAR-FAST, and IL-8 increased even more by 112.8 (PST), 266.1 (BAR-CTRL), 268.1 (BAR-FAST) and 70.0 (SER) fold, respectively. Overall, compared to prolonged blood storage, effects of post-centrifugation delays were less pronounced in all tested materials.
Conclusions
BAR tubes are compatible with the use of several established QIs and can therefore be used in clinical biobanking to reduce pre-analytical TAT without compromising QIs and thus pre-analytical sample quality analysis.
Funding source: BMBF
Award Identifier / Grant number: 01EK1505B
Acknowledgments
We thank Kerstin Stein for her support in sample collection and AA analysis at the Institute of Clinical Chemistry and Laboratory Diagnostics and the Integrated Biobank in Jena (IBBJ) for excellent technical assistance in sample collection, transport and storage.
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Research funding: The study was funded by the BMBF (01EK1505B). The funding organization played no role in the study design, collection, analysis and interpretation of data, in the writing of the article or in the decision to submit the article for publication.
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Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.
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Competing interests: Authors state no conflict of interest.
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Informed consent: Informed consent was obtained from all individuals included in this study.
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Ethical approval: Human sample collections of the study followed all relevant national regulations, institutional policies and have been approved by the Ethics Committee of the University Hospital Jena and the CNER, Comité National d’Ethique de Recherche Luxembourg.
References
1. Bowen, RA, Hortin, GL, Csako, G, Otanez, OH, Remaley, AT. Impact of blood collection devices on clinical chemistry assays. Clin Biochem 2010;43:4–25. https://doi.org/10.1016/j.clinbiochem.2009.10.001.Suche in Google Scholar
2. Lesche, D, Geyer, R, Lienhard, D, Nakas, CT, Diserens, G, Vermathen, P, et al.. Does centrifugation matter? Centrifugal force and spinning time alter the plasma metabolome. Metabolomics 2016;12:159. https://doi.org/10.1007/s11306-016-1109-3.Suche in Google Scholar
3. Lippi, G, von Meyer, A, Cadamuro, J, Simundic, AM. Blood sample quality. Diagnosis (Berl) 2019;6:25–31. https://doi.org/10.1515/dx-2018-0018.Suche in Google Scholar
4. Holland, NT, Smith, MT, Eskenazi, B, Bastaki, M. Biological sample collection and processing for molecular epidemiological studies. Mutat Res 2003;543:217–34. https://doi.org/10.1016/s1383-5742(02)00090-x.Suche in Google Scholar
5. Lehmann, S, Guadagni, F, Moore, H, Ashton, G, Barnes, M, Benson, E, et al.. Standard preanalytical coding for biospecimens: review and implementation of the Sample PREanalytical Code (SPREC). Biopreserv Biobanking 2012;10:366–74. https://doi.org/10.1089/bio.2012.0012.Suche in Google Scholar
6. Riondino, S, Ferroni, P, Spila, A, Alessandroni, J, D’Alessandro, R, Formica, V, et al.. Ensuring sample quality for biomarker discovery studies - use of ICT tools to trace biosample life-cycle. Cancer Genomics Proteomics 2015;12:291–9.Suche in Google Scholar
7. Betsou, F, Bulla, A, Cho, SY, Clements, J, Chuaqui, R, Coppola, D, et al.. Assays for qualification and quality stratification of clinical biospecimens used in research: a technical report from the ISBER Biospecimen Science Working Group. Biopreserv Biobanking 2016;14:398–409. https://doi.org/10.1089/bio.2016.0018.Suche in Google Scholar
8. Betsou, F. Quality assurance and quality control in biobanking. In: Hainaut, P, Vaught, J, Zatloukal, K, Pasterk, M, editors. Biobanking of human biospecimens, 1st ed Cham: Springer; 2017:23–49 pp.10.1007/978-3-319-55120-3_2Suche in Google Scholar
9. Anton, G, Wilson, R, Yu, ZH, Prehn, C, Zukunft, S, Adamski, J, et al.. Pre-analytical sample quality: metabolite ratios as an intrinsic marker for prolonged room temperature exposure of serum samples. PLoS One 2015;10:e0121495. https://doi.org/10.1371/journal.pone.0121495.Suche in Google Scholar
10. Cao, Z, Kamlage, B, Wagner-Golbs, A, Maisha, M, Sun, J, Schnackenberg, LK, et al.. An integrated analysis of metabolites, peptides, and inflammation biomarkers for assessment of preanalytical variability of human plasma. J Proteome Res 2019;18:2411–21. https://doi.org/10.1021/acs.jproteome.8b00903.Suche in Google Scholar
11. Kamlage, B, Neuber, S, Bethan, B, Gonzalez Maldonado, S, Wagner-Golbs, A, Peter, E, et al.. Impact of prolonged blood incubation and extended serum storage at room temperature on the human serum metabolome. Metabolites 2018;8. https://doi.org/10.3390/metabo8010006.Suche in Google Scholar
12. Findeisen, P, Hemanna, S, Maharjan, RS, Mindt, S, Costina, V, Hofheinz, R, et al.. Mass spectrometry based analytical quality assessment of serum and plasma specimens with patterns of endo- and exogenous peptides. Clin Chem Lab Med 2019;57:668–78. https://doi.org/10.1515/cclm-2018-0811.Suche in Google Scholar
13. Kamlage, B, Maldonado, SG, Bethan, B, Peter, E, Schmitz, O, Liebenberg, V, et al.. Quality markers addressing preanalytical variations of blood and plasma processing identified by broad and targeted metabolite profiling. Clin Chem 2014;60:399–412. https://doi.org/10.1373/clinchem.2013.211979.Suche in Google Scholar
14. Kofanova, O, Henry, E, Aguilar Quesada, R, Bulla, A, Navarro Linares, H, Lescuyer, P, et al.. IL8 and IL16 levels indicate serum and plasma quality. Clin Chem Lab Med 2018;56:1054–62. https://doi.org/10.1515/cclm-2017-1047.Suche in Google Scholar
15. Schwarz, N, Knutti, N, Rose, M, Neugebauer, S, Geiger, J, Jahns, R, et al.. Quality assessment of the preanalytical workflow in liquid biobanking: taurine as a serum-specific quality indicator for preanalytical process variations. Biopreserv Biobanking 2019;17:458–67. https://doi.org/10.1089/bio.2019.0004.Suche in Google Scholar
16. Nuttall, KL, Chen, M, Komaromy-Hiller, G. Delayed separation and the plasma amino acids arginine and ornithine. Ann Clin Lab Sci 1998;28:354–9.Suche in Google Scholar
17. Jain, M, Kennedy, AD, Elsea, SH, Miller, MJ. Analytes related to erythrocyte metabolism are reliable biomarkers for preanalytical error due to delayed plasma processing in metabolomics studies. Clin Chim Acta 2017;466:105–11. https://doi.org/10.1016/j.cca.2017.01.005.Suche in Google Scholar
18. Lengelle, J, Panopoulos, E, Betsou, F. Soluble CD40 ligand as a biomarker for storage-related preanalytic variations of human serum. Cytokine 2008;44:275–82. https://doi.org/10.1016/j.cyto.2008.08.010.Suche in Google Scholar
19. Drake, SK, Bowen, RA, Remaley, AT, Hortin, GL. Potential interferences from blood collection tubes in mass spectrometric analyses of serum polypeptides. Clin Chem 2004;50:2398–401. https://doi.org/10.1373/clinchem.2004.040303.Suche in Google Scholar
20. Karppi, J, Akerman, KK, Parviainen, M. Suitability of collection tubes with separator gels for collecting and storing blood samples for therapeutic drug monitoring (TDM). Clin Chem Lab Med 2000;38:313–20. https://doi.org/10.1515/CCLM.2000.045.Suche in Google Scholar
21. Preanalytical systems. BD life sciences product catalogue: Becton. Dickinson and Company: Heidelberg; 2018.Suche in Google Scholar
22. Ramakers, C, Meyer, B, Yang, W, Plokhoy, E, Xiong, Y, Church, S, et al.. Switching from serum to plasma: implementation of BD Vacutainer® Barricor Plasma Blood Collection Tubes improves sample quality and laboratory turnaround time. Pract Lab Med 2020;18:e00149. https://doi.org/10.1016/j.plabm.2019.e00149.Suche in Google Scholar
23. Raizman, JE, Goudreau, BL, Fuzery, AK, Cembrowski, GS. Barricor blood collection tubes are equivalent to PST for a variety of chemistry and immunoassay analytes except for lactate dehydrogenase. Clin Chim Acta 2019;496:18–24. https://doi.org/10.1016/j.cca.2019.06.013.Suche in Google Scholar
24. Dupuy, AM, Badiou, S, Daubin, D, Bargnoux, AS, Magnan, C, Klouche, K, et al.. Comparison of Barricor (TM) vs. lithium heparin tubes for selected routine biochemical analytes and evaluation of post centrifugation stability. Biochem Med 2018;28. https://doi.org/10.11613/BM.2018.020902.Suche in Google Scholar
25. Gawria, G, Tillmar, L, Landberg, E. A comparison of stability of chemical analytes in plasma from the BD Vacutainer® Barricor tube with mechanical separator versus tubes containing gel separator. J Clin Lab Anal 2020;34:e23060. https://doi.org/10.1002/jcla.23060.Suche in Google Scholar
26. Balbas, LA, Amaro, MS, Rioja, RG, Martin, MJ, Soto, AB. Stability of plasma electrolytes in Barricor and PST II tubes under different storage conditions. Biochem Med 2017;27:225–30. https://doi.org/10.11613/bm.2017.024.Suche in Google Scholar
27. Cadamuro, J, Mrazek, C, Leichtle, AB, Kipman, U, Felder, TK, Wiedemann, H, et al.. Influence of centrifugation conditions on the results of 77 routine clinical chemistry analytes using standard vacuum blood collection tubes and the new BD-Barricor tubes. Biochem Med 2018;28:010704. https://doi.org/10.11613/BM.2018.010704.Suche in Google Scholar
28. Benjamini, Y, Hochberg, Y. Controlling the false discovery rate - a practical and powerful approach to multiple testing. J Roy Stat Soc B 1995;57:289–300. https://doi.org/10.1111/j.2517-6161.1995.tb02031.x.Suche in Google Scholar
29. Tukey, JW. Comparing individual means in the analysis of variance. Biometrics 1949;5:99–114. https://doi.org/10.2307/3001913.Suche in Google Scholar
30. Satterthwaite, FE. An approximate distribution of estimates of variance components. Biometrics Bull 1946;2:110–4. https://doi.org/10.2307/3002019.Suche in Google Scholar
31. Ruiz-Godoy, L, Enriquez-Carcamo, V, Suarez-Roa, L, Lopez-Castro, ML, Santamaria, A, Orozco-Morales, M, et al.. Identification of specific pre-analytical quality control markers in plasma and serum samples. Anal Methods 2019;11:2259–71. https://doi.org/10.1039/c9ay00131j.Suche in Google Scholar
32. Paglia, G, Del Greco, FM, Sigurdsson, BB, Rainer, J, Volani, C, Hicks, AA, et al.. Influence of collection tubes during quantitative targeted metabolomics studies in human blood samples. Clin Chim Acta 2018;486:320–8. https://doi.org/10.1016/j.cca.2018.08.014.Suche in Google Scholar
33. Daniels, JR, Cao, Z, Maisha, M, Schnackenberg, LK, Sun, J, Pence, L, et al.. Stability of the human plasma proteome to pre-analytical variability as assessed by an aptamer-based approach. J Proteome Res 2019;18:3661–70. https://doi.org/10.1021/acs.jproteome.9b00320.Suche in Google Scholar
34. Yu, Z, Kastenmuller, G, He, Y, Belcredi, P, Moller, G, Prehn, C, et al.. Differences between human plasma and serum metabolite profiles. PLoS One 2011;6:e21230. https://doi.org/10.1371/journal.pone.0021230.Suche in Google Scholar
35. Holden, JT, United States, Office of Naval Research; City of Hope National Medical Center (U.S.). Amino acid pools: distribution, formation and function of free amino acids; proceedings (Soupart, P: “Free amino acids of blood and urine in the human”). Amsterdam, New York: Elsevier Pub. Co. Sole Distributor for the U.S., American Elsevier Pub. Co.; 1962, xi:815 p.10.5962/bhl.title.10168Suche in Google Scholar
36. Tunnicliff, G. Amino acid transport by human erythrocyte membranes. Comp Biochem Physiol A Comp Physiol 1994;108:471–8. https://doi.org/10.1016/0300-9629(94)90329-8.Suche in Google Scholar
37. Canepa, A, Filho, JC, Gutierrez, A, Carrea, A, Forsberg, AM, Nilsson, E, et al.. Free amino acids in plasma, red blood cells, polymorphonuclear leukocytes, and muscle in normal and uraemic children. Nephrol Dial Transplant 2002;17:413–21. https://doi.org/10.1093/ndt/17.3.413.Suche in Google Scholar
38. Fukuda, K, Hirai, Y, Yoshida, H, Nakajima, T, Usui, T. Free amino acid content of lymphocytes nd granulocytes compared. Clin Chem 1982;28:1758–61. https://doi.org/10.1093/clinchem/28.8.1758.Suche in Google Scholar
39. Stein, WH, Moore, S. The free amino acids of human blood plasma. J Biol Chem 1954;211:915–26. https://doi.org/10.1016/s0021-9258(18)71179-4.Suche in Google Scholar
40. Sahai, S. Glutaminase in human platelets. Clin Chim Acta 1983;127:197–203. https://doi.org/10.1016/s0009-8981(83)80004-7.Suche in Google Scholar
41. Spector, EB, Rice, SC, Kern, RM, Hendrickson, R, Cederbaum, SD. Comparison of arginase activity in red blood cells of lower mammals, primates, and man: evolution to high activity in primates. Am J Hum Genet 1985;37:1138–45.Suche in Google Scholar
42. Caldwell, RW, Rodriguez, PC, Toque, HA, Narayanan, SP, Caldwell, RB. Arginase: a multifaceted enzyme important in health and disease. Physiol Rev 2018;98:641–65. https://doi.org/10.1152/physrev.00037.2016.Suche in Google Scholar
43. Gao, C, Boylan, B, Fang, J, Wilcox, DA, Newman, DK, Newman, PJ. Heparin promotes platelet responsiveness by potentiating alphaIIbbeta3-mediated outside-in signaling. Blood 2011;117:4946–52. https://doi.org/10.1182/blood-2010-09-307751.Suche in Google Scholar
44. Ahtee, L, Boullin, DJ, Paasonen, MK. Transport of taurine by normal human blood platelets. Br J Pharmacol 1974;52:245–51. https://doi.org/10.1111/j.1476-5381.1974.tb09707.x.Suche in Google Scholar
45. Rendu, F, Brohard-Bohn, B. The platelet release reaction: granules’ constituents, secretion and functions. Platelets 2001;12:261–73. https://doi.org/10.1080/09537100120068170.Suche in Google Scholar
46. Lee, JE, Kim, JW, Han, BG, Shin, SY. Impact of whole-blood processing conditions on plasma and serum concentrations of cytokines. Biopreserv Biobanking 2016;14:51–5. https://doi.org/10.1089/bio.2015.0059.Suche in Google Scholar
47. Wu, DM, Zhang, Y, Parada, NA, Kornfeld, H, Nicoll, J, Center, DM, et al.. Processing and release of IL-16 from CD4+ but not CD8+ T cells is activation dependent. J Immunol 1999;162:1287–93.10.4049/jimmunol.162.3.1287Suche in Google Scholar
48. Vanichakarn, P, Blair, P, Wu, C, Freedman, JE, Chakrabarti, S. Neutrophil CD40 enhances platelet-mediated inflammation. Thromb Res 2008;122:346–58. https://doi.org/10.1016/j.thromres.2007.12.019.Suche in Google Scholar
49. Sokol, CL, Luster, AD. The chemokine system in innate immunity. Cold Spring Harbor Perspect Biol 2015;7. https://doi.org/10.1101/cshperspect.a016303.Suche in Google Scholar
50. Ribeiro, LS, Migliari Branco, L, Franklin, BS. Regulation of innate immune responses by platelets. Front Immunol 2019;10:1320. https://doi.org/10.3389/fimmu.2019.01320.Suche in Google Scholar
51. Mason, PJ, Chakrabarti, S, Albers, AA, Rex, S, Vitseva, O, Varghese, S, et al.. Plasma, serum, and platelet expression of CD40 ligand in adults with cardiovascular disease. Am J Cardiol 2005;96:1365–9. https://doi.org/10.1016/j.amjcard.2005.07.039.Suche in Google Scholar
52. Takehana, S, Yoshida, H, Ozawa, S, Yamazaki, J, Shimbo, K, Nakayama, A, et al.. The effects of pre-analysis sample handling on human plasma amino acid concentrations. Clin Chim Acta 2016;455:68–74. https://doi.org/10.1016/j.cca.2016.01.026.Suche in Google Scholar
53. Padoan, A, Zaninotto, M, Piva, E, Sciacovelli, L, Aita, A, Tasinato, A, et al.. Quality of plasma samples and BD Vacutainer Barricor tubes: effects of centrifugation. Clin Chim Acta 2018;483:271–4. https://doi.org/10.1016/j.cca.2018.05.018.Suche in Google Scholar
54. Gremmel, T, Frelinger, AL3rd, Michelson, AD. Platelet physiology. Semin Thromb Hemost 2016;42:191–204. https://doi.org/10.1055/s-0035-1564835.Suche in Google Scholar
55. Kristensen, SD, Wurtz, M, Grove, EL, De Caterina, R, Huber, K, Moliterno, DJ, et al.. Contemporary use of glycoprotein IIb/IIIa inhibitors. Thromb Haemostasis 2012;107:215–24. https://doi.org/10.1160/TH11-07-0468.Suche in Google Scholar
56. Ammerlaan, W, Trezzi, JP, Lescuyer, P, Mathay, C, Hiller, K, Betsou, F. Method validation for preparing serum and plasma samples from human blood for downstream proteomic, metabolomic, and circulating nucleic acid-based applications. Biopreserv Biobanking 2014;12:269–80. https://doi.org/10.1089/bio.2014.0003.Suche in Google Scholar
Supplementary Material
The online version of this article offers supplementary material (https://doi.org/10.1515/cclm-2021-0899).
© 2022 Walter de Gruyter GmbH, Berlin/Boston
Artikel in diesem Heft
- Frontmatter
- Editorial
- Lot-to-lot variation: no longer a neglected issue
- Review
- Health Technology Assessment to assess value of biomarkers in the decision-making process
- Mini Review
- Diagnostic performance of the fully automated Roche Elecsys SARS-CoV-2 antigen electrochemiluminescence immunoassay: a pooled analysis
- Opinion Papers
- Preanalytical quality improvement – an interdisciplinary journey
- Metrological traceability and clinical traceability of laboratory results – the role of commutability in External Quality Assurance
- Lot-to-lot reagent verification: challenges and possible solutions
- EFLM Paper
- An approach for determining allowable between reagent lot variation
- General Clinical Chemistry and Laboratory Medicine
- Introduction of BD Vacutainer® Barricor™ tubes in clinical biobanking and application of amino acid and cytokine quality indicators to Barricor plasma
- Delays during PBMC isolation have a moderate effect on yield, but severly compromise cell viability
- Investigation of the effects of pneumatic tube transport system on routine biochemistry, hematology, and coagulation tests in Ankara City Hospital
- Comparison of three different protocols for obtaining hemolysis
- Report from the HarmoSter study: impact of calibration on comparability of LC-MS/MS measurement of circulating cortisol, 17OH-progesterone and aldosterone
- Point-of-care testing in primary healthcare: a scoring system to determine the frequency of performing internal quality control
- Hematology and Coagulation
- The flagging features of the Sysmex XN-10 analyser for detecting platelet clumps and the impacts of platelet clumps on complete blood count parameters
- Cancer Diagnostics
- Thyroglobulin and thyroglobulin antibodies: assay-dependent management consequences in patients with differentiated thyroid carcinoma
- Infectious Diseases
- Hyris bCUBE SARS-CoV-2 rapid molecular saliva testing: a POCT innovation on its way
- Ultrasensitive assay for saliva-based SARS-CoV-2 antigen detection
- Identification of contagious SARS-CoV-2 infected individuals by Roche’s Rapid Antigen Test
- Monocyte distribution width (MDW) as a screening tool for early detecting sepsis: a systematic review and meta-analysis
- Perinatal asphyxia partly affects presepsin urine levels in non-infected term infants
- Letters to the Editors
- Spurious results for total and free prostate-specific antigen (PSA); sometimes really “a riddle wrapped in a mystery inside an enigma”
- Reply to: Spurious results for total and free prostate-specific antigen (PSA); sometimes really “a riddle wrapped in a mystery inside an enigma”
- Spike vs. nucleocapsid serum antigens for COVID-19 diagnosis and severity assessment
- A rapid semi-quantitative test for determination of SARS-CoV-2 antibody levels
- Diagnostic potential of leukocyte differential and cell population data in prediction of COVID-19 among related viral and bacterial infections at Emergency Department
- Added value of drug-laboratory test interaction alerts in test result authorisation
- Pre-analytical considerations for the analysis of uracil and 5,6-dihydrouracil in heparin plasma
- Rare unstable and low oxygen affinity haemoglobin variant, Hb Hazebrouck, detected on Sysmex XN-9000
- Multicancer early detection
Artikel in diesem Heft
- Frontmatter
- Editorial
- Lot-to-lot variation: no longer a neglected issue
- Review
- Health Technology Assessment to assess value of biomarkers in the decision-making process
- Mini Review
- Diagnostic performance of the fully automated Roche Elecsys SARS-CoV-2 antigen electrochemiluminescence immunoassay: a pooled analysis
- Opinion Papers
- Preanalytical quality improvement – an interdisciplinary journey
- Metrological traceability and clinical traceability of laboratory results – the role of commutability in External Quality Assurance
- Lot-to-lot reagent verification: challenges and possible solutions
- EFLM Paper
- An approach for determining allowable between reagent lot variation
- General Clinical Chemistry and Laboratory Medicine
- Introduction of BD Vacutainer® Barricor™ tubes in clinical biobanking and application of amino acid and cytokine quality indicators to Barricor plasma
- Delays during PBMC isolation have a moderate effect on yield, but severly compromise cell viability
- Investigation of the effects of pneumatic tube transport system on routine biochemistry, hematology, and coagulation tests in Ankara City Hospital
- Comparison of three different protocols for obtaining hemolysis
- Report from the HarmoSter study: impact of calibration on comparability of LC-MS/MS measurement of circulating cortisol, 17OH-progesterone and aldosterone
- Point-of-care testing in primary healthcare: a scoring system to determine the frequency of performing internal quality control
- Hematology and Coagulation
- The flagging features of the Sysmex XN-10 analyser for detecting platelet clumps and the impacts of platelet clumps on complete blood count parameters
- Cancer Diagnostics
- Thyroglobulin and thyroglobulin antibodies: assay-dependent management consequences in patients with differentiated thyroid carcinoma
- Infectious Diseases
- Hyris bCUBE SARS-CoV-2 rapid molecular saliva testing: a POCT innovation on its way
- Ultrasensitive assay for saliva-based SARS-CoV-2 antigen detection
- Identification of contagious SARS-CoV-2 infected individuals by Roche’s Rapid Antigen Test
- Monocyte distribution width (MDW) as a screening tool for early detecting sepsis: a systematic review and meta-analysis
- Perinatal asphyxia partly affects presepsin urine levels in non-infected term infants
- Letters to the Editors
- Spurious results for total and free prostate-specific antigen (PSA); sometimes really “a riddle wrapped in a mystery inside an enigma”
- Reply to: Spurious results for total and free prostate-specific antigen (PSA); sometimes really “a riddle wrapped in a mystery inside an enigma”
- Spike vs. nucleocapsid serum antigens for COVID-19 diagnosis and severity assessment
- A rapid semi-quantitative test for determination of SARS-CoV-2 antibody levels
- Diagnostic potential of leukocyte differential and cell population data in prediction of COVID-19 among related viral and bacterial infections at Emergency Department
- Added value of drug-laboratory test interaction alerts in test result authorisation
- Pre-analytical considerations for the analysis of uracil and 5,6-dihydrouracil in heparin plasma
- Rare unstable and low oxygen affinity haemoglobin variant, Hb Hazebrouck, detected on Sysmex XN-9000
- Multicancer early detection