1
|
Kreft IC, van Duijl TT, van Kwawegen C, Atiq F, Phan W, Schuller MBP, Boon-Spijker M, van der Zwaan C, Meijer AB, Hoogendijk AJ, Bierings R, Eikenboom JCJ, Leebeek FWG, van den Biggelaar M. Variant mapping using mass spectrometry-based proteotyping as a diagnostic tool in von Willebrand disease. J Thromb Haemost 2024; 22:1894-1908. [PMID: 38679335 DOI: 10.1016/j.jtha.2024.04.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Revised: 03/20/2024] [Accepted: 04/15/2024] [Indexed: 05/01/2024]
Abstract
BACKGROUND von Willebrand disease (VWD) is the most common inherited bleeding disorder, characterized by either partial or complete von Willebrand factor (VWF) deficiency or by the occurrence of VWF proteoforms of altered functionality. The gene encoding VWF is highly polymorphic, giving rise to a variety of proteoforms with varying plasma concentrations and clinical significance. OBJECTIVES To address this complexity, we translated genomic variation in VWF to corresponding VWF proteoforms circulating in blood. METHODS VWF was characterized in VWD patients (n = 64) participating in the Willebrand in the Netherlands study by conventional laboratory testing, DNA sequencing and complementary discovery, and targeted mass spectrometry-based plasma proteomic strategies. RESULTS Unbiased plasma profiling combined with immune enrichment of VWF verified VWF and its binding partner factor VIII as key determinants of VWD and revealed a remarkable heterogeneity in VWF amino acid sequence coverage among patients. Subsequent VWF proteotyping enabled identification of both polymorphisms (eg, p.Thr789Ala, p.Gln852Arg, and p.Thr1381Ala), as well as pathogenic variants (n = 16) along with their corresponding canonical sequences. Targeted proteomics using stable isotope-labeled peptides confirmed unbiased proteotyping for 5 selected variants and suggested differential proteoform quantities in plasma. The variant-to-wild-type peptide ratio was determined in 6 type 2B patients heterozygous for p.Arg1306Trp, confirming the relatively low proteoform concentration of the pathogenic variant. The elevated VWF propeptide/VWF ratio indicated increased clearance of specific VWF proteoforms. CONCLUSION This study highlights how VWF proteotyping from plasma could be the first step to bridge the gap between genotyping and functional testing in VWD.
Collapse
Affiliation(s)
- Iris C Kreft
- Laboratory of Proteomics, Department of Molecular Hematology, Sanquin Research, Amsterdam, the Netherlands.
| | - Tirsa T van Duijl
- Laboratory of Proteomics, Department of Molecular Hematology, Sanquin Research, Amsterdam, the Netherlands
| | - Calvin van Kwawegen
- Department of Hematology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Ferdows Atiq
- Department of Hematology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Winny Phan
- Laboratory of Proteomics, Department of Molecular Hematology, Sanquin Research, Amsterdam, the Netherlands
| | - Margo B P Schuller
- Laboratory of Proteomics, Department of Molecular Hematology, Sanquin Research, Amsterdam, the Netherlands
| | - Mariëtte Boon-Spijker
- Laboratory of Proteomics, Department of Molecular Hematology, Sanquin Research, Amsterdam, the Netherlands
| | - Carmen van der Zwaan
- Laboratory of Proteomics, Department of Molecular Hematology, Sanquin Research, Amsterdam, the Netherlands
| | - Alexander B Meijer
- Laboratory of Proteomics, Department of Molecular Hematology, Sanquin Research, Amsterdam, the Netherlands; Department of Biomolecular Mass Spectrometry and Proteomics, Utrecht Institute for Pharmaceutical Sciences (UIPS), Utrecht University, Utrecht, the Netherlands
| | - Arie J Hoogendijk
- Laboratory of Proteomics, Department of Molecular Hematology, Sanquin Research, Amsterdam, the Netherlands
| | - Ruben Bierings
- Department of Hematology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Jeroen C J Eikenboom
- Department of Internal Medicine, Division of Thrombosis and Hemostasis, Leiden University Medical Center, Leiden, the Netherlands
| | - Frank W G Leebeek
- Department of Hematology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Maartje van den Biggelaar
- Laboratory of Proteomics, Department of Molecular Hematology, Sanquin Research, Amsterdam, the Netherlands.
| |
Collapse
|
2
|
Luo F, Zhao J, Chen Y, Peng Z, An R, Lu Y, Li J. Clinical and Molecular Characteristics of Megakaryocytes in Myelodysplastic Syndrome. Glob Med Genet 2024; 11:187-195. [PMID: 38860162 PMCID: PMC11164576 DOI: 10.1055/s-0044-1787752] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/12/2024] Open
Abstract
Objective Myelodysplastic syndrome (MDS) is a malignant clonal disorder of hematopoietic stem cells which is characterized by morphologic dysplasia. However, the pathological characteristics of megakaryocytes (MKs) in MDS patients with gene mutation are not well established. Methods Bone marrow MK specimens from 104 patients with primary MDS were evaluated, and all patients were distributed into two groups according to gene mutation associated with functional MKs. The morphologic and cellular characteristics of MKs and platelets were recorded and compared. Results The more frequently mutated genes in MDS patients were TUBB1 (11.54%), VWF (8.65%), NBEAL2 (5.77%), and the most common point mutation was TUBB1 p.(R307H) and p.(Q43P). Patients with MK mutation showed a decrease in adenosine diphosphate-induced platelet aggregation, high proportion of CD34 + CD61 + MKs (10.00 vs. 4.00%, p = 0.012), and short overall survival (33.15 vs. 40.50 months, p = 0.013). Further, patients with a higher percent of CD34 + CD61 + MKs (≧20.00%) had lower platelet counts (36.00 × 10 9 /L vs. 88.50 × 10 9 /L, p = 0.015) and more profound emperipolesis ( p = 0.001). By analyzing RNA-sequencing of MKs, differentially expressed mRNA was involved in physiological processes including platelet function and platelet activation, especially for MDS patients with high percent of CD34 + CD61 + MKs. The high levels of expression of CD62P, CXCL10, and S100A9 mRNA, shown by RNA sequencing, were validated by PCR assay. Conclusion High proportion of CD34 + CD61 + MKs was a poor prognostic factor in MDS patients with MK mutation. CD62P, CXCL10, and S100A9 may be the potential targets to evaluate the molecular link between gene defects and platelet function.
Collapse
Affiliation(s)
- Fangxiu Luo
- Department of Pathology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jialu Zhao
- Department of Laboratory Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yubao Chen
- Department of Hematology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhenping Peng
- Department of Laboratory Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ran An
- Department of Hematology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yeling Lu
- Department of Laboratory Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jiaming Li
- Department of Laboratory Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Transfusion Department, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| |
Collapse
|
3
|
Yuan S, Xu F, Zhang H, Chen J, Ruan X, Li Y, Burgess S, Åkesson A, Li X, Gill D, Larsson SC. Proteomic insights into modifiable risk of venous thromboembolism and cardiovascular comorbidities. J Thromb Haemost 2024; 22:738-748. [PMID: 38029854 PMCID: PMC7615672 DOI: 10.1016/j.jtha.2023.11.013] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Revised: 10/30/2023] [Accepted: 11/03/2023] [Indexed: 12/01/2023]
Abstract
BACKGROUND Venous thromboembolism (VTE) has been associated with several modifiable factors (MFs) and cardiovascular comorbidities. However, the mechanisms are largely unknown. OBJECTIVES We aimed to decipher proteomic pathways underlying the associations of VTE with MFs and cardiovascular comorbidities. METHODS A 2-stage network Mendelian randomization analysis was conducted to explore the associations between 15 MFs, 1151 blood proteins, and VTE using data from a genome-wide meta-analysis including 81 190 cases of VTE. We used protein data from 35 559 individuals as the discovery analysis, and from 2 independent studies including 10 708 and 54 219 participants as the replication analyses. Based on the identified proteins, we assessed the druggability and examined the cardiovascular pleiotropy. RESULTS The network Mendelian randomization analyses identified 10 MF-VTE, 86 MF-protein, and 34 protein-VTE associations. These associations were overall consistent in the replication analyses. Thirty-eight pathways with directionally consistent direct and indirect effects in the MF-protein-VTE pathway were identified. Low-density lipoprotein receptor-related protein 12 (LRP12: 34.3%-58.1%) and coagulation factor (F)XI (20.6%-39.6%) mediated most of the associations between 3 obesity indicators and VTE. Likewise, coagulation FXI mediated most of the smoking-VTE association (40%; 95% CI, 20%-60%) and insomnia-VTE association (27%; 95% CI, 5%-49%). Many VTE-associated proteins were highly druggable for thrombotic conditions. Five proteins (interleukin-6 receptor subunit alpha, LRP12, prothrombin, angiopoietin-1, and low-density lipoprotein receptor-related protein 4) were associated with VTE and its cardiovascular comorbidities. CONCLUSION This study suggests that coagulation FXI, a druggable target, is an important mediator of the associations of obesity, smoking, and insomnia with VTE risk.
Collapse
Affiliation(s)
- Shuai Yuan
- Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden
| | - Fengzhe Xu
- Key Laboratory of Growth Regulation and Translational Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, China
| | - Han Zhang
- Department of Big Data in Health Science School of Public Health, Center of Clinical Big Data and Analytics of the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Jie Chen
- Department of Big Data in Health Science School of Public Health, Center of Clinical Big Data and Analytics of the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Xixian Ruan
- Department of Gastroenterology, the Third Xiangya Hospital, Central South University, Changsha, China
| | - Yuying Li
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
| | - Stephen Burgess
- Medical Research Council Biostatistics Unit, University of Cambridge, Cambridge, UK
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Agneta Åkesson
- Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden
| | - Xue Li
- Department of Big Data in Health Science School of Public Health, Center of Clinical Big Data and Analytics of the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Dipender Gill
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Susanna C. Larsson
- Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden
- Unit of Medical Epidemiology, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| |
Collapse
|