Detection and functional characterization of a novel MEF2A variation responsible for familial dilated cardiomyopathy
-
Qi Qiao
, Cui-Mei Zhao , Chen-Xi Yang , Jia-Ning Gu , Yu-Han Guo , Min Zhang , Ruo-Gu Li , Xing-Biao Qiu , Ying-Jia Xu and Yi-Qing Yang
Abstract
Objectives
Dilated cardiomyopathy (DCM) represents the most frequent form of cardiomyopathy, leading to heart failure, cardiac arrhythmias and death. Accumulating evidence convincingly demonstrates the crucial role of genetic defects in the pathogenesis of DCM, and over 100 culprit genes have been implicated with DCM. However, DCM is of substantial genetic heterogeneity, and the genetic determinants underpinning DCM remain largely elusive.
Methods
Whole-exome sequencing and bioinformatical analyses were implemented in a consanguineous Chinese family with DCM. A total of 380 clinically annotated control individuals and 166 more DCM index cases then underwent Sanger sequencing analysis for the identified genetic variation. The functional characteristics of the variant were delineated by utilizing a dual-luciferase assay system.
Results
A heterozygous variation in the MEF2A gene (encoding myocyte enhancer factor 2A, a transcription factor pivotal for embryonic cardiogenesis and postnatal cardiac adaptation), NM_001365204.1: c.718G>T; p. (Gly240*), was identified, and verified by Sanger sequencing to segregate with autosome-dominant DCM in the family with complete penetrance. The nonsense variation was neither detected in 760 control chromosomes nor found in 166 more DCM probands. Functional analyses revealed that the variant lost transactivation on the validated target genes MYH6 and FHL2, both causally linked to DCM. Furthermore, the variation nullified the synergistic activation between MEF2A and GATA4, another key transcription factor involved in DCM.
Conclusions
The findings firstly indicate that MEF2A loss-of-function variation predisposes to DCM in humans, providing novel insight into the molecular mechanisms of DCM and suggesting potential implications for genetic testing and prognostic evaluation of DCM patients.
Funding source: Basic Research Project of Shanghai, China
Award Identifier / Grant number: 20JC1418800
Funding source: Science and Technology Support Project of Medical Guidance, Shanghai, China
Award Identifier / Grant number: 19411971900
Funding source: Clinical Research Project of Tongji Hospital, Tongji University, Shanghai, China
Award Identifier / Grant number: ITJ(QN)1803
Funding source: Experimental Animal Project of Shanghai, China
Award Identifier / Grant number: 201409004400
Funding source: Program of Outstanding Young Scientists of Tongji Hospital, Tongji University, Shanghai, China
Award Identifier / Grant number: HBRC1803
Funding source: Clinical Medicine Program of Shanghai, China
Award Identifier / Grant number: 19401970200
Acknowledgments
The authors would like to thank the research participants for participation in the research.
-
Research funding: This work was supported by the grants from the Basic Research Project of Shanghai, China (20JC1418800), the Experimental Animal Project of Shanghai, China (201409004400), the Clinical Medicine Program of Shanghai, China (19401970200), the Science and Technology Support Project of Medical Guidance, Shanghai, China (19411971900), the Program of Outstanding Young Scientists of Tongji Hospital, Tongji University, Shanghai, China (HBRC1803), and the Clinical Research Project of Tongji Hospital, Tongji University, Shanghai, China (ITJ(QN) 1803).
-
Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.
-
Competing interests: Authors state no conflict of interest.
-
Informed consent: Informed consent was obtained from all individuals included in this study.
-
Ethical approval: Research involving human subjects complied with all relevant national regulations, institutional policies and is in accordance with the tenets of the Helsinki Declaration (as revised in 2013), and has been approved by the Medical Ethics Committee of Shanghai Fifth People′s Hospital, Fudan University, Shanghai, China.
References
1. Marrow, BA, Cook, SA, Prasad, SK, McCann, GP. Emerging techniques for risk stratification in nonischemic dilated cardiomyopathy: JACC review topic of the week. J Am Coll Cardiol 2020;75:1196–207. https://doi.org/10.1016/j.jacc.2019.12.058.Search in Google Scholar PubMed
2. Merlo, M, Cannatà, A, Gobbo, M, Stolfo, D, Elliott, PM, Sinagra, G. Evolving concepts in dilated cardiomyopathy. Eur J Heart Fail 2018;20:228–39. https://doi.org/10.1002/ejhf.1103.Search in Google Scholar PubMed
3. Cannatà, A, De Angelis, G, Boscutti, A, Normand, C, Artico, J, Gentile, P, et al.. Arrhythmic risk stratification in non-ischaemic dilated cardiomyopathy beyond ejection fraction. Heart 2020;106:656–64. https://doi.org/10.1136/heartjnl-2019-315942.Search in Google Scholar PubMed
4. Stolfo, D, Albani, S, Savarese, G, Barbati, G, Ramani, F, Gigli, M, et al.. Risk of sudden cardiac death in New York Heart Association class I patients with dilated cardiomyopathy: a competing risk analysis. Int J Cardiol 2020;307:75–81. https://doi.org/10.1016/j.ijcard.2020.02.025.Search in Google Scholar PubMed
5. Tabish, AM, Azzimato, V, Alexiadis, A, Buyandelger, B, Knöll, R. Genetic epidemiology of titin-truncating variants in the etiology of dilated cardiomyopathy. Biophys Rev 2017;9:207–23. https://doi.org/10.1007/s12551-017-0265-7.Search in Google Scholar PubMed PubMed Central
6. Fatkin, D, Huttner, IG, Kovacic, JC, Seidman, JG, Seidman, CE. Precision medicine in the management of dilated cardiomyopathy: JACC state-of-the-art review. J Am Coll Cardiol 2019;74:2921–38. https://doi.org/10.1016/j.jacc.2019.10.011.Search in Google Scholar PubMed
7. McNally, EM, Mestroni, L. Dilated cardiomyopathy: genetic determinants and mechanisms. Circ Res 2017;121:731–48. https://doi.org/10.1161/circresaha.116.309396.Search in Google Scholar PubMed PubMed Central
8. Rosenbaum, AN, Agre, KE, Pereira, NL. Genetics of dilated cardiomyopathy: practical implications for heart failure management. Nat Rev Cardiol 2020;17:286–97. https://doi.org/10.1038/s41569-019-0284-0.Search in Google Scholar PubMed
9. Mazzarotto, F, Tayal, U, Buchan, RJ, Midwinter, W, Wilk, A, Whiffin, N, et al.. Reevaluating the genetic contribution of monogenic dilated cardiomyopathy. Circulation 2020;141:387–98. https://doi.org/10.1161/circulationaha.119.037661.Search in Google Scholar
10. Ganapathi, M, Argyriou, L, Martínez-Azorín, F, Morlot, S, Yigit, G, Lee, TM, et al.. Bi-allelic missense disease-causing variants in RPL3L associate neonatal dilated cardiomyopathy with muscle-specific ribosome biogenesis. Hum Genet 2020;139:1443–54. https://doi.org/10.1007/s00439-020-02188-6.Search in Google Scholar PubMed PubMed Central
11. Almomani, R, Herkert, JC, Posafalvi, A, Post, JG, Boven, LG, van der Zwaag, PA, et al.. Homozygous damaging SOD2 variant causes lethal neonatal dilated cardiomyopathy. J Med Genet 2020;57:23–30. https://doi.org/10.1136/jmedgenet-2019-106330.Search in Google Scholar PubMed
12. Cowan, JR, Salyer, L, Wright, NT, Kinnamon, DD, Amaya, P, Jordan, E, et al.. SOS1 gain of function variants in dilated cardiomyopathy. Circ Genom Precis Med 2020;13:e002892. https://doi.org/10.1161/circgen.119.002892.Search in Google Scholar
13. Landim-Vieira, M, Johnston, JR, Ji, W, Mis, EK, Tijerino, J, Spencer-Manzon, M, et al.. Familial dilated cardiomyopathy associated with a novel combination of compound heterozygous TNNC1 variants. Front Physiol 2020;10:1612. https://doi.org/10.3389/fphys.2019.01612.Search in Google Scholar PubMed PubMed Central
14. Di, RM, Yang, CX, Zhao, CM, Yuan, F, Qiao, Q, Gu, JN, et al.. Identification and functional characterization of KLF5 as a novel disease gene responsible for familial dilated cardiomyopathy. Eur J Med Genet 2020;63:103827. https://doi.org/10.1016/j.ejmg.2019.103827.Search in Google Scholar PubMed
15. Ahrens-Nicklas, RC, Pappas, CT, Farman, GP, Mayfield, RM, Larrinaga, TM, Medne, L, et al.. Disruption of cardiac thin filament assembly arising from a mutation in LMOD2: a novel mechanism of neonatal dilated cardiomyopathy. Sci Adv 2019;5:eaax2066. https://doi.org/10.1126/sciadv.aax2066.Search in Google Scholar PubMed PubMed Central
16. Horvat, C, Johnson, R, Lam, L, Munro, J, Mazzarotto, F, Roberts, AM, et al.. A gene-centric strategy for identifying disease-causing rare variants in dilated cardiomyopathy. Genet Med 2019;21:133–43. https://doi.org/10.1038/s41436-018-0036-2.Search in Google Scholar PubMed PubMed Central
17. Minoche, AE, Horvat, C, Johnson, R, Gayevskiy, V, Morton, SU, Drew, AP, et al.. Genome sequencing as a first-line genetic test in familial dilated cardiomyopathy. Genet Med 2019;21:650–62. https://doi.org/10.1038/s41436-018-0084-7.Search in Google Scholar PubMed PubMed Central
18. Aspit, L, Levitas, A, Etzion, S, Krymko, H, Slanovic, L, Zarivach, R, et al.. CAP2 mutation leads to impaired actin dynamics and associates with supraventricular tachycardia and dilated cardiomyopathy. J Med Genet 2019;56:228–35. https://doi.org/10.1136/jmedgenet-2018-105498.Search in Google Scholar PubMed
19. Jones, EG, Mazaheri, N, Maroofian, R, Zamani, M, Seifi, T, Sedaghat, A, et al.. Analysis of enriched rare variants in JPH2-encoded junctophilin-2 among Greater Middle Eastern individuals reveals a novel homozygous variant associated with neonatal dilated cardiomyopathy. Sci Rep 2019;9:9038. https://doi.org/10.1038/s41598-019-44987-6.Search in Google Scholar PubMed PubMed Central
20. Hodatsu, A, Fujino, N, Uyama, Y, Tsukamoto, O, Imai-Okazaki, A, Yamazaki, S, et al.. Impact of cardiac myosin light chain kinase gene mutation on development of dilated cardiomyopathy. ESC Heart Fail 2019;6:406–15. https://doi.org/10.1002/ehf2.12410.Search in Google Scholar PubMed PubMed Central
21. Frank, D, Yusuf Rangrez, A, Friedrich, C, Dittmann, S, Stallmeyer, B, Yadav, P, et al.. Cardiac α-actin (ACTC1) gene mutation causes atrial-septal defects associated with late-onset dilated cardiomyopathy. Circ Genom Precis Med 2019;12:e002491. https://doi.org/10.1161/circgen.119.002491.Search in Google Scholar PubMed
22. Xu, YJ, Wang, ZS, Yang, CX, Di, RM, Qiao, Q, Li, XM, et al.. Identification and functional characterization of an ISL1 mutation predisposing to dilated cardiomyopathy. J Cardiovasc Transl Res 2019;12:257–67. https://doi.org/10.1007/s12265-018-9851-8.Search in Google Scholar PubMed
23. Carlus, SJ, Almuzaini, IS, Karthikeyan, M, Loganathan, L, Al-Harbi, GS, Abdallah, AM, et al.. Next-generation sequencing identifies a homozygous mutation in ACADVL associated with pediatric familial dilated cardiomyopathy. Eur Rev Med Pharmacol Sci 2019;23:1710–21. https://doi.org/10.26355/eurrev_201902_17133.Search in Google Scholar PubMed
24. Liu, H, Xu, YJ, Li, RG, Wang, ZS, Zhang, M, Qu, XK, et al.. HAND2 loss-of-function mutation causes familial dilated cardiomyopathy. Eur J Med Genet 2019;62:103540. https://doi.org/10.1016/j.ejmg.2018.09.007.Search in Google Scholar PubMed
25. Elliott, P, O’Mahony, C, Syrris, P, Evans, A, Rivera Sorensen, C, Sheppard, MN, et al.. Prevalence of desmosomal protein gene mutations in patients with dilated cardiomyopathy. Circ Cardiovasc Genet 2010;3:314–22. https://doi.org/10.1161/circgenetics.110.937805.Search in Google Scholar PubMed
26. Wu, SH, Wang, XH, Xu, YJ, Gu, JN, Yang, CX, Qiao, Q, et al.. ISL1 loss-of-function variation causes familial atrial fibrillation. Eur J Med Genet 2020;63:104029. https://doi.org/10.1016/j.ejmg.2020.104029.Search in Google Scholar PubMed
27. Fan, LL, Ding, DB, Huang, H, Chen, YQ, Jin, JY, Xia, K, et al.. A de novo mutation of SMYD1 (p.F272L) is responsible for hypertrophic cardiomyopathy in a Chinese patient. Clin Chem Lab Med 2019;57:532–9. https://doi.org/10.1515/cclm-2018-0578.Search in Google Scholar PubMed
28. He, HJ, Das, B, Cleveland, MH, Chen, L, Camalier, CE, Liu, LC, et al.. Development and interlaboratory evaluation of a NIST Reference Material RM 8366 for EGFR and MET gene copy number measurements. Clin Chem Lab Med 2019;57:1142–52. https://doi.org/10.1515/cclm-2018-1306.Search in Google Scholar PubMed PubMed Central
29. Wang, L, Fan, C, Topol, SE, Topol, EJ, Wang, Q. Mutation of MEF2A in an inherited disorder with features of coronary artery disease. Science 2003;302:1578–81. https://doi.org/10.1126/science.1088477.Search in Google Scholar PubMed PubMed Central
30. Yuan, F, Qiu, ZH, Wang, XH, Sun, YM, Wang, J, Li, RG, et al.. MEF2C loss-of-function mutation associated with familial dilated cardiomyopathy. Clin Chem Lab Med 2018;56:502–11. https://doi.org/10.1515/cclm-2017-0461.Search in Google Scholar PubMed
31. Yu, YT. Distinct domains of myocyte enhancer binding factor-2A determining nuclear localization and cell type-specific transcriptional activity. J Biol Chem 1996;271:24675–83.10.1016/S0021-9258(18)40058-0Search in Google Scholar
32. Lisi, RD, Millino, C, Calabria, E, Altruda, F, Schiaffino, S, Ausoni, S. Combinatorial cis-acting elements control tissue-specific activation of the cardiac troponin I gene in vitro and in vivo. J Biol Chem 1998;273:25371–80. https://doi.org/10.1074/jbc.273.39.25371.Search in Google Scholar PubMed
33. Lee, Y, Nadal-Ginard, B, Mahdavi, V, Izumo, S. Myocyte-specific enhancer factor 2 and thyroid hormone receptor associate and synergistically activate the alpha-cardiac myosin heavy-chain gene. Mol Cell Biol 1997;17:2745–55. https://doi.org/10.1128/mcb.17.5.2745.Search in Google Scholar PubMed PubMed Central
34. Ewen, EP, Snyder, CM, Wilson, M, Desjardins, D, Naya, FJ. The Mef2A transcription factor coordinately regulates a costamere gene program in cardiac muscle. J Biol Chem 2011;286:29644–53. https://doi.org/10.1074/jbc.m111.268094.Search in Google Scholar
35. Schlesinger, J, Schueler, M, Grunert, M, Fischer, JJ, Zhang, Q, Krueger, T, et al.. The cardiac transcription network modulated by Gata4, Mef2a, Nkx2.5, Srf, histone modifications, and microRNAs. PLoS Genet 2011;7:e1001313. https://doi.org/10.1371/journal.pgen.1001313.Search in Google Scholar PubMed PubMed Central
36. Li, RG, Li, L, Qiu, XB, Yuan, F, Xu, L, Li, X, et al.. GATA4 loss-of-function mutation underlies familial dilated cardiomyopathy. Biochem Biophys Res Commun 2013;439:591–6. https://doi.org/10.1016/j.bbrc.2013.09.023.Search in Google Scholar PubMed
37. Hanley, A, Walsh, KA, Joyce, C, McLellan, MA, Clauss, S, Hagen, A, et al.. Mutation of a common amino acid in NKX2.5 results in dilated cardiomyopathy in two large families. BMC Med Genet 2016;17:83. https://doi.org/10.1186/s12881-016-0347-6.Search in Google Scholar PubMed PubMed Central
38. Parlakian, A, Charvet, C, Escoubet, B, Mericskay, M, Molkentin, JD, Gary-Bobo, G, et al.. Temporally controlled onset of dilated cardiomyopathy through disruption of the SRF gene in adult heart. Circulation 2005;112:2930–9. https://doi.org/10.1161/circulationaha.105.533778.Search in Google Scholar
39. Nakao, K, Minobe, W, Roden, R, Bristow, MR, Leinwand, LA. Myosin heavy chain gene expression in human heart failure. J Clin Invest 1997;100:2362–70. https://doi.org/10.1172/jci119776.Search in Google Scholar
40. Granados-Riveron, JT, Ghosh, TK, Pope, M, Bu’Lock, F, Thornborough, C, Eason, J, et al.. Alpha-cardiac myosin heavy chain (MYH6) mutations affecting myofibril formation are associated with congenital heart defects. Hum Mol Genet 2010;19:4007–16. https://doi.org/10.1093/hmg/ddq315.Search in Google Scholar PubMed
41. Naya, FJ, Black, BL, Wu, H, Bassel-Duby, R, Richardson, JA, Hill, JA, et al.. Mitochondrial deficiency and cardiac sudden death in mice lacking the MEF2A transcription factor. Nat Med 2002;8:1303–9. https://doi.org/10.1038/nm789.Search in Google Scholar
42. Zhang, D, Mott, JL, Farrar, P, Ryerse, JS, Chang, SW, Stevens, M, et al.. Mitochondrial DNA mutations activate the mitochondrial apoptotic pathway and cause dilated cardiomyopathy. Cardiovasc Res 2003;57:147–57. https://doi.org/10.1016/s0008-6363(02)00695-8.Search in Google Scholar
43. Govindaraj, P, Rani, B, Sundaravadivel, P, Vanniarajan, A, Indumathi, KP, Khan, NA, et al.. Mitochondrial genome variations in idiopathic dilated cardiomyopathy. Mitochondrion 2019;48:51–9. https://doi.org/10.1016/j.mito.2019.03.003.Search in Google Scholar PubMed
44. Xu, J, Gong, NL, Bodi, I, Aronow, BJ, Backx, PH, Molkentin, JD. Myocyte enhancer factors 2A and 2C induce dilated cardiomyopathy in transgenic mice. J Biol Chem 2006;281:9152–62. https://doi.org/10.1074/jbc.m510217200.Search in Google Scholar PubMed
45. van Oort, RJ, van Rooij, E, Bourajjaj, M, Schimmel, J, Jansen, MA, van der Nagel, R, et al.. MEF2 activates a genetic program promoting chamber dilation and contractile dysfunction in calcineurin-induced heart failure. Circulation 2006;114:298–308. https://doi.org/10.1161/circulationaha.105.608968.Search in Google Scholar PubMed
46. Postma, AV, van de Meerakker, JB, Mathijssen, IB, Barnett, P, Christoffels, VM, Ilgun, A, et al.. A gain-of-function TBX5 mutation is associated with atypical Holt-Oram syndrome and paroxysmal atrial fibrillation. Circ Res 2008;102:1433–42. https://doi.org/10.1161/circresaha.107.168294.Search in Google Scholar
47. Posch, MG, Gramlich, M, Sunde, M, Schmitt, KR, Lee, SH, Richter, S, et al.. A gain-of-function TBX20 mutation causes congenital atrial septal defects, patent foramen ovale and cardiac valve defects. J Med Genet 47;2010:230–5https://doi.org/10.1136/jmg.2009.069997.Search in Google Scholar PubMed PubMed Central
48. McDermott, DA, Hatcher, CJ, Basson, CT. Atrial fibrillation and other clinical manifestations of altered TBX5 dosage in typical Holt-Oram syndrome. Circ Res 2008;103:e96. https://doi.org/10.1161/circresaha.108.181834.Search in Google Scholar PubMed PubMed Central
49. Bhagavatula, MR, Fan, C, Shen, GQ, Cassano, J, Plow, EF, Topol, EJ, et al.. Transcription factor MEF2A mutations in patients with coronary artery disease. Hum Mol Genet 2004;13:3181–8. https://doi.org/10.1093/hmg/ddh329.Search in Google Scholar PubMed PubMed Central
50. Liu, Y, Niu, W, Wu, Z, Su, X, Chen, Q, Lu, L, et al.. Variants in exon 11 of MEF2A gene and coronary artery disease: evidence from a case-control study, systematic review, and meta-analysis. PLoS One 2012;7:e31406. https://doi.org/10.1371/journal.pone.0031406.Search in Google Scholar PubMed PubMed Central
© 2020 Walter de Gruyter GmbH, Berlin/Boston
Articles in the same Issue
- Frontmatter
- Editorial
- Home pregnancy tests: quality first
- Review
- Non-invasive determination of uric acid in human saliva in the diagnosis of serious disorders
- Opinion Papers
- Basophil counting in hematology analyzers: time to discontinue?
- The role of laboratory hematology between technology and professionalism: the paradigm of basophil counting
- Recommendations for validation testing of home pregnancy tests (HPTs) in Europe
- General Clinical Chemistry and Laboratory Medicine
- The use of preanalytical quality indicators: a Turkish preliminary survey study
- The Italian External Quality Assessment (EQA) program on urinary sediment by microscopy examination: a 20 years journey
- Non-HDL-C/TG ratio indicates significant underestimation of calculated low-density lipoprotein cholesterol (LDL-C) better than TG level: a study on the reliability of mathematical formulas used for LDL-C estimation
- Evaluation of the protein gap for detection of abnormal serum gammaglobulin level: an imperfect predictor
- Impact of routine S100B protein assay on CT scan use in children with mild traumatic brain injury
- Using machine learning to develop an autoverification system in a clinical biochemistry laboratory
- Effect of collection matrix, platelet depletion, and storage conditions on plasma extracellular vesicles and extracellular vesicle-associated miRNAs measurements
- Pneumatic tube transportation of urine samples
- Evaluation of the first immunosuppressive drug assay available on a fully automated LC-MS/MS-based clinical analyzer suggests a new era in laboratory medicine
- A validated LC-MS/MS method for the simultaneous quantification of the novel combination antibiotic, ceftolozane–tazobactam, in plasma (total and unbound), CSF, urine and renal replacement therapy effluent: application to pilot pharmacokinetic studies
- Immunosuppressant quantification in intravenous microdialysate – towards novel quasi-continuous therapeutic drug monitoring in transplanted patients
- Reference Values and Biological Variations
- Reference intervals for venous blood gas measurement in adults
- Cardiovascular Diseases
- Detection and functional characterization of a novel MEF2A variation responsible for familial dilated cardiomyopathy
- Diabetes
- Evaluation of the ARKRAY HA-8190V instrument for HbA1c
- Infectious Diseases
- An original multiplex method to assess five different SARS-CoV-2 antibodies
- Evaluation of dried blood spots as alternative sampling material for serological detection of anti-SARS-CoV-2 antibodies using established ELISAs
- Variability of cycle threshold values in an external quality assessment scheme for detection of the SARS-CoV-2 virus genome by RT-PCR
- The vasoactive peptide MR-pro-adrenomedullin in COVID-19 patients: an observational study
- Corrigenda
- Corrigendum to: Understanding and managing interferences in clinical laboratory assays: the role of laboratory professionals
- Corrigendum to: Age appropriate reference intervals for eight kidney function and injury markers in infants, children and adolescents
- Letters to the Editor
- A panhaemocytometric approach to COVID-19: a retrospective study on the importance of monocyte and neutrophil population data on Sysmex XN-series analysers
- Letter in reply to the letter to the editor of Harte JV and Mykytiv V with the title “A panhaemocytometric approach to COVID-19: a retrospective study on the importance of monocyte and neutrophil population data”
- SARS-CoV-2 serologic tests: do not forget the good laboratory practice
- Long-term kinetics of anti-SARS-CoV-2 antibodies in a cohort of 197 hospitalized and non-hospitalized COVID-19 patients
- Self-sampling at home using volumetric absorptive microsampling: coupling analytical evaluation to volunteers’ perception in the context of a large scale study
- Vortex mixing to alleviate pseudothrombocytopenia in a blood specimen with platelet satellitism and platelet clumps
- Comparative evaluation of the fully automated HemosIL® AcuStar ADAMTS13 activity assay vs. ELISA: possible interference by autoantibodies different from anti ADAMTS-13
- Significant interference on specific point-of-care glucose measurements due to high dose of intravenous vitamin C therapy in critically ill patients
- As time goes by, on that you can rely … preservation of urine samples for morphological analysis of erythrocytes and casts
- Stability of control materials for α-thalassemia immunochromatographic strip test
- Reformulated Architect® cyclosporine CMIA assay: improved imprecision, worse comparability between methods
- Urine-to-plasma contamination mimicking acute kidney injury: small drops with major consequences
- Automated Mindray CL-1200i chemiluminescent assays of renin and aldosterone for the diagnosis of primary aldosteronism
- Use of common reference intervals does not necessarily allow inter-method numerical result trending
- Reply to Dr Hawkins regarding comparability of results for monitoring
Articles in the same Issue
- Frontmatter
- Editorial
- Home pregnancy tests: quality first
- Review
- Non-invasive determination of uric acid in human saliva in the diagnosis of serious disorders
- Opinion Papers
- Basophil counting in hematology analyzers: time to discontinue?
- The role of laboratory hematology between technology and professionalism: the paradigm of basophil counting
- Recommendations for validation testing of home pregnancy tests (HPTs) in Europe
- General Clinical Chemistry and Laboratory Medicine
- The use of preanalytical quality indicators: a Turkish preliminary survey study
- The Italian External Quality Assessment (EQA) program on urinary sediment by microscopy examination: a 20 years journey
- Non-HDL-C/TG ratio indicates significant underestimation of calculated low-density lipoprotein cholesterol (LDL-C) better than TG level: a study on the reliability of mathematical formulas used for LDL-C estimation
- Evaluation of the protein gap for detection of abnormal serum gammaglobulin level: an imperfect predictor
- Impact of routine S100B protein assay on CT scan use in children with mild traumatic brain injury
- Using machine learning to develop an autoverification system in a clinical biochemistry laboratory
- Effect of collection matrix, platelet depletion, and storage conditions on plasma extracellular vesicles and extracellular vesicle-associated miRNAs measurements
- Pneumatic tube transportation of urine samples
- Evaluation of the first immunosuppressive drug assay available on a fully automated LC-MS/MS-based clinical analyzer suggests a new era in laboratory medicine
- A validated LC-MS/MS method for the simultaneous quantification of the novel combination antibiotic, ceftolozane–tazobactam, in plasma (total and unbound), CSF, urine and renal replacement therapy effluent: application to pilot pharmacokinetic studies
- Immunosuppressant quantification in intravenous microdialysate – towards novel quasi-continuous therapeutic drug monitoring in transplanted patients
- Reference Values and Biological Variations
- Reference intervals for venous blood gas measurement in adults
- Cardiovascular Diseases
- Detection and functional characterization of a novel MEF2A variation responsible for familial dilated cardiomyopathy
- Diabetes
- Evaluation of the ARKRAY HA-8190V instrument for HbA1c
- Infectious Diseases
- An original multiplex method to assess five different SARS-CoV-2 antibodies
- Evaluation of dried blood spots as alternative sampling material for serological detection of anti-SARS-CoV-2 antibodies using established ELISAs
- Variability of cycle threshold values in an external quality assessment scheme for detection of the SARS-CoV-2 virus genome by RT-PCR
- The vasoactive peptide MR-pro-adrenomedullin in COVID-19 patients: an observational study
- Corrigenda
- Corrigendum to: Understanding and managing interferences in clinical laboratory assays: the role of laboratory professionals
- Corrigendum to: Age appropriate reference intervals for eight kidney function and injury markers in infants, children and adolescents
- Letters to the Editor
- A panhaemocytometric approach to COVID-19: a retrospective study on the importance of monocyte and neutrophil population data on Sysmex XN-series analysers
- Letter in reply to the letter to the editor of Harte JV and Mykytiv V with the title “A panhaemocytometric approach to COVID-19: a retrospective study on the importance of monocyte and neutrophil population data”
- SARS-CoV-2 serologic tests: do not forget the good laboratory practice
- Long-term kinetics of anti-SARS-CoV-2 antibodies in a cohort of 197 hospitalized and non-hospitalized COVID-19 patients
- Self-sampling at home using volumetric absorptive microsampling: coupling analytical evaluation to volunteers’ perception in the context of a large scale study
- Vortex mixing to alleviate pseudothrombocytopenia in a blood specimen with platelet satellitism and platelet clumps
- Comparative evaluation of the fully automated HemosIL® AcuStar ADAMTS13 activity assay vs. ELISA: possible interference by autoantibodies different from anti ADAMTS-13
- Significant interference on specific point-of-care glucose measurements due to high dose of intravenous vitamin C therapy in critically ill patients
- As time goes by, on that you can rely … preservation of urine samples for morphological analysis of erythrocytes and casts
- Stability of control materials for α-thalassemia immunochromatographic strip test
- Reformulated Architect® cyclosporine CMIA assay: improved imprecision, worse comparability between methods
- Urine-to-plasma contamination mimicking acute kidney injury: small drops with major consequences
- Automated Mindray CL-1200i chemiluminescent assays of renin and aldosterone for the diagnosis of primary aldosteronism
- Use of common reference intervals does not necessarily allow inter-method numerical result trending
- Reply to Dr Hawkins regarding comparability of results for monitoring