1
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Gade IL, Riddersholm SJ, Stilling-Vinther T, Brøndum RF, Bennike TB, Honoré B. A clinical proteomics study of exhaled breath condensate and biomarkers for pulmonary embolism. J Breath Res 2023; 18:016007. [PMID: 37939397 DOI: 10.1088/1752-7163/ad0aaa] [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: 06/23/2023] [Accepted: 11/07/2023] [Indexed: 11/10/2023]
Abstract
Pulmonary embolism (PE) can be a diagnostic challenge. Current diagnostic markers for PE are unspecific and new diagnostic tools are needed. The air we exhale is a possible new source for biomarkers which can be tapped into by analysing the exhaled breath condensate (EBC). We analysed the EBC from patients with PE and controls to investigate if the EBC is a useful source for new diagnostic biomarkers of PE. We collected and analysed EBC samples from patients with suspected PE and controls matched on age and sex. Patients in whom PE was ruled out after diagnostic work-up were included in the control group to increase the sensitivity and generalizability of the identified markers. EBC samples were collected using an RTube™. The protein composition of the EBCs were analysed using data dependent label-free quantitative nano liquid chromatography-tandem mass spectrometry. EBC samples from 28 patients with confirmed PE, and 49 controls were analysed. A total of 928 EBC proteins were identified in the 77 EBC samples. As expected, a low protein concentration was determined which resulted in many proteins with unmeasurable levels in several samples. The levels of HSPA5, PEBP1 and SFTPA2 were higher and levels of POF1B, EPPK1, PSMA4, ALDOA, and CFL1 were lower in PE compared with controls. In conclusion, the human EBC contained a variety of endogenous proteins and may be a source for new diagnostic markers of PE and other diseases.
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Affiliation(s)
- Inger Lise Gade
- Department of Hematology and Clinical Cancer Research Center, Aalborg University Hospital, 9000 Aalborg, Denmark
| | | | | | - Rasmus Froberg Brøndum
- Center for Clinical Data Science, Aalborg University and Aalborg University Hospital, 9260 Gistrup, Denmark
| | - Tue Bjerg Bennike
- Department of Health Science and Technology, Aalborg University, Aalborg, Denmark
| | - Bent Honoré
- Department of Clinical Medicine, Aalborg University, 9000 Aalborg, Denmark
- Department of Biomedicine, Aarhus University, 8000 Aarhus, Denmark
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2
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González MA, Barrera-Chacón R, Peña FJ, Belinchón-Lorenzo S, Robles NR, Pérez-Merino EM, Martín-Cano FE, Duque FJ. Proteomic research on new urinary biomarkers of renal disease in canine leishmaniosis: Survival and monitoring response to treatment. Res Vet Sci 2023; 161:180-190. [PMID: 37419051 DOI: 10.1016/j.rvsc.2023.06.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Revised: 06/12/2023] [Accepted: 06/18/2023] [Indexed: 07/09/2023]
Abstract
The objective of our study was to search for survival biomarkers (SB) and treatment response monitoring biomarkers (TRMB) in the urinary proteome of dogs with renal disease secondary to canine leishmaniosis (CanL), using UHPLC-MS/MS. The proteomic data are available via ProteomeXchange with identifier PXD042578. Initially, a group of 12 dogs was evaluated and divided into survivors (SG; n = 6) and nonsurvivors (NSG; n = 6). A total of 972 proteins were obtained from the evaluated samples. Then, bioinformatic analysis reduced them to 6 proteins like potential SB increased in the NSG, specifically, Haemoglobin subunit Alpha 1, Complement Factor I, Complement C5, Fibrinogen beta chain (fragment), Peptidase S1 domain-containing protein, and Fibrinogen gamma chain. Afterwards, SG was used to search for TRMB, studying their urine at 0, 30, and 90 days, and 9 proteins that decreased after treatment were obtained: Apolipoprotein E, Cathepsin B, Cystatin B, Cystatin-C-like, Lysozyme, Monocyte differentiation CD14, Pancreatitis-associated precursor protein, Profilin, and Protein FAM3C. Finally, enrichment analysis provided information about the biological mechanisms in which these proteins are involved. In conclusion, this study provides 15 new candidate urinary biomarkers and an improved understanding of the pathogenesis of kidney disease in CanL.
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Affiliation(s)
- Mario A González
- Animal Medicine Department, University of Extremadura, 10003 Cáceres, Spain.
| | | | - Fernando J Peña
- Animal Medicine Department, University of Extremadura, 10003 Cáceres, Spain; Laboratory of Equine Reproduction and Equine Spermatology, Veterinary Teaching Hospital, University of Extremadura, 10003 Cáceres, Spain
| | - Silvia Belinchón-Lorenzo
- LeishmanCeres Laboratory (GLP Compliance Certified), Parasitology Unit, Veterinary Teaching Hospital, University of Extremadura, 10003 Cáceres, Spain
| | - Nicolás R Robles
- Nephrology Service, Badajoz University Hospital, University of Extremadura, 06080 Badajoz, Spain
| | - Eva M Pérez-Merino
- Animal Medicine Department, University of Extremadura, 10003 Cáceres, Spain
| | - Francisco E Martín-Cano
- Laboratory of Equine Reproduction and Equine Spermatology, Veterinary Teaching Hospital, University of Extremadura, 10003 Cáceres, Spain
| | - Francisco J Duque
- Animal Medicine Department, University of Extremadura, 10003 Cáceres, Spain
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3
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Pereira CF, Sales MGF, Frasco MF. A molecularly imprinted photonic polymer based on an inverse opal structure for sensing D-dimer at the point-of-care. Talanta 2022; 243:123387. [DOI: 10.1016/j.talanta.2022.123387] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Revised: 03/10/2022] [Accepted: 03/11/2022] [Indexed: 02/07/2023]
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4
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Screening of potential hub genes in pulmonary thromboembolism. Exp Ther Med 2021; 23:18. [PMID: 34815770 PMCID: PMC8593918 DOI: 10.3892/etm.2021.10940] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2020] [Accepted: 02/04/2021] [Indexed: 12/27/2022] Open
Abstract
Pulmonary thromboembolism (PTE) is a fatal clinical syndrome that usually occurs in elderly individuals. The present study aimed to identify functional and key genes involved in the early diagnosis of PTE using bioinformatics analysis. The GSE84738 dataset was retrieved from the Gene Expression Omnibus database. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses were subsequently performed. In addition, Cytoscape software v.3.7.2 was used to construct a protein-protein interaction (PPI) network. Serum samples from patients with PTE and healthy individuals were collected and the expression levels of Toll-like receptor (TLR)4, TLR2, IL-1β, JUN, prostaglandin-endoperoxide synthase 2 (PTGS2), osteopontin (SPP1) and endothelin-1 (ET-1) were analyzed by reverse transcription-quantitative PCR. A total of 160 upregulated and 159 downregulated differentially expressed genes were identified between patients with PTE and healthy individuals. TNF, IL-1β, JUN, TLR4, PTGS2, vascular cell adhesion molecule 1, SPP1, ryanodine receptor 2, TLR2 and ET-1 were considered as hub genes, which are defined as the genes with the highest degree of interaction in the enrichment and PPI network analyses. The top 10 common genes with the highest degree in the PPI network and the top 10 genes in modules 1 and 2 were TLR4, TLR2, IL-1β, JUN, PTGS2, SPP1 and ET-1. Taken together, the present study suggested that TLR4, TLR2, IL-1β and SPP1 were enriched in patients with PTE, thus providing novel potential biomarkers for the diagnosis of PTE.
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5
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Gade IL, Schultz JG, Brøndum RF, Kjærgaard B, Nielsen-Kudsk JE, Andersen A, Kristensen SR, Honoré B. Putative Biomarkers for Acute Pulmonary Embolism in Exhaled Breath Condensate. J Clin Med 2021; 10:5165. [PMID: 34768685 PMCID: PMC8584843 DOI: 10.3390/jcm10215165] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Revised: 10/27/2021] [Accepted: 11/03/2021] [Indexed: 12/12/2022] Open
Abstract
Current diagnostic markers for pulmonary embolism (PE) are unspecific. We investigated the proteome of the exhaled breath condensate (EBC) in a porcine model of acute PE in order to identify putative diagnostic markers for PE. EBC was collected at baseline and after the induction of autologous intermediate-risk PE in 14 pigs, plus four negative control pigs. The protein profiles of the EBC were analyzed using label-free quantitative nano liquid chromatography-tandem mass spectrometry. A total of 897 proteins were identified in the EBCs from the pigs. Alterations were found in the levels of 145 different proteins after PE compared with the baseline and negative controls: albumin was among the most upregulated proteins, with 14-fold higher levels 2.5 h after PE (p-value: 0.02). The levels of 49 other proteins were between 1.3- and 17.1-fold higher after PE. The levels of 95 proteins were lower after PE. Neutrophil gelatinase-associated lipocalin (fold change 0.3, p-value < 0.01) was among the most reduced proteins 2.5 h after PE. A prediction model based on penalized regression identified five proteins including albumin and neutrophil gelatinase-associated lipocalin. The model was capable of discriminating baseline samples from EBC samples collected 2.5 h after PE correctly in 22 out of 27 samples. In conclusion, the EBC from pigs with acute PE contained several putative diagnostic markers of PE.
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Affiliation(s)
- Inger Lise Gade
- Department of Hematology and Clinical Cancer Research Center, Aalborg University Hospital, 9000 Aalborg, Denmark;
- Department of Clinical Medicine, Aalborg University, 9000 Aalborg, Denmark; (S.R.K.); (B.H.)
- Department of Clinical Biochemistry, Aalborg University Hospital, 9000 Aalborg, Denmark
| | - Jacob Gammelgaard Schultz
- Department of Cardiology, Aarhus University Hospital, 8200 Aarhus, Denmark; (J.G.S.); (J.E.N.-K.); (A.A.)
- Department of Clinical Medicine, Faculty of Health, Aarhus University, 8200 Aarhus, Denmark
| | - Rasmus Froberg Brøndum
- Department of Hematology and Clinical Cancer Research Center, Aalborg University Hospital, 9000 Aalborg, Denmark;
- Department of Clinical Medicine, Aalborg University, 9000 Aalborg, Denmark; (S.R.K.); (B.H.)
| | - Benedict Kjærgaard
- Department of Cardiothoracic Surgery, Aalborg University Hospital, 9000 Aalborg, Denmark;
| | - Jens Erik Nielsen-Kudsk
- Department of Cardiology, Aarhus University Hospital, 8200 Aarhus, Denmark; (J.G.S.); (J.E.N.-K.); (A.A.)
- Department of Clinical Medicine, Faculty of Health, Aarhus University, 8200 Aarhus, Denmark
| | - Asger Andersen
- Department of Cardiology, Aarhus University Hospital, 8200 Aarhus, Denmark; (J.G.S.); (J.E.N.-K.); (A.A.)
- Department of Clinical Medicine, Faculty of Health, Aarhus University, 8200 Aarhus, Denmark
| | - Søren Risom Kristensen
- Department of Clinical Medicine, Aalborg University, 9000 Aalborg, Denmark; (S.R.K.); (B.H.)
- Department of Clinical Biochemistry, Aalborg University Hospital, 9000 Aalborg, Denmark
| | - Bent Honoré
- Department of Clinical Medicine, Aalborg University, 9000 Aalborg, Denmark; (S.R.K.); (B.H.)
- Department of Biomedicine, Aarhus University, 8000 Aarhus, Denmark
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6
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Tan J, Qin F, Yuan J. Current applications of artificial intelligence combined with urine detection in disease diagnosis and treatment. Transl Androl Urol 2021; 10:1769-1779. [PMID: 33968664 PMCID: PMC8100834 DOI: 10.21037/tau-20-1405] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Abstract
In recent years, the advantages of artificial intelligence (AI) in data processing and model analysis have emerged in the medical field, enabled by computer technology developments and the integration of multiple disciplines. The application of AI in the medical field has gradually deepened and broadened. Among them, the development of clinical medicine intelligent decision-making is the fastest. The advantage of clinical medicine intelligent decision-making is to make the diagnosis faster and more accurate on the basis of certain information. Urine detection technologies, such as urine proteomics, urine metabolomics, and urine RNomics, have developed rapidly with the advancements in omics and medical tests. Advances in urine testing have made it possible to obtain a wealth of information from easily accessible urine. However, it has always been a problem to extract effective information from this information and use it. AI technology provides the possibility to process and use the information in urine. AI, combined with urine detection, not only provides new possibilities for precise and individual diagnosis and disease treatment, but also helps promote non-invasive diagnosis and treatment. This article reviews the research and applications of AI combined with urine detection for disease diagnosis and treatment and discusses its existing problems and future development.
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Affiliation(s)
- Jun Tan
- Andrology Laboratory, West China Hospital, Sichuan University, Chengdu, China.,Department of Urology, West China Hospital, Sichuan University, Chengdu, China
| | - Feng Qin
- Andrology Laboratory, West China Hospital, Sichuan University, Chengdu, China
| | - Jiuhong Yuan
- Andrology Laboratory, West China Hospital, Sichuan University, Chengdu, China.,Department of Urology, West China Hospital, Sichuan University, Chengdu, China
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7
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Predicting the Risk of Recurrent Venous Thromboembolism: Current Challenges and Future Opportunities. J Clin Med 2020; 9:jcm9051582. [PMID: 32456008 PMCID: PMC7290951 DOI: 10.3390/jcm9051582] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2020] [Revised: 05/13/2020] [Accepted: 05/19/2020] [Indexed: 12/11/2022] Open
Abstract
Acute venous thromboembolism (VTE) is a commonly diagnosed condition and requires treatment with anticoagulation to reduce the risk of embolisation as well as recurrent venous thrombotic events. In many cases, cessation of anticoagulation is associated with an unacceptably high risk of recurrent VTE, precipitating the use of indefinite anticoagulation. In contrast, however, continuing anticoagulation is associated with increased major bleeding events. As a consequence, it is essential to accurately predict the subgroup of patients who have the highest probability of experiencing recurrent VTE, so that treatment can be appropriately tailored to each individual. To this end, the development of clinical prediction models has aided in calculating the risk of recurrent thrombotic events; however, there are several limitations with regards to routine use for all patients with acute VTE. More recently, focus has shifted towards the utility of novel biomarkers in the understanding of disease pathogenesis as well as their application in predicting recurrent VTE. Below, we review the current strategies used to predict the development of recurrent VTE, with emphasis on the application of several promising novel biomarkers in this field.
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8
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Fitzgerald BL, Islam MN, Graham B, Mahapatra S, Webb K, Boom WH, Malherbe ST, Joloba ML, Johnson JL, Winter J, Walzl G, Belisle JT. Elucidation of a Human Urine Metabolite as a Seryl-Leucine Glycopeptide and as a Biomarker of Effective Anti-Tuberculosis Therapy. ACS Infect Dis 2019; 5:353-364. [PMID: 30585483 PMCID: PMC6412501 DOI: 10.1021/acsinfecdis.8b00241] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
![]()
The
evaluation of new tuberculosis (TB) therapies is limited by the paucity
of biomarkers to monitor treatment response. Previous work detected
an uncharacterized urine metabolite with a molecular mass of 874.3547
Da that showed promise as a biomarker for successful TB treatment.
Using mass spectrometry combined with enzymatic digestions, the metabolite
was structurally characterized as a seryl-leucine core 1 O-glycosylated peptide (SLC1G) of human origin. Examination of SLC1G
in urine revealed a significant abundance increase in individuals
with active TB versus their household contacts and healthy controls.
Moreover, differential decreases in SLC1G levels were observed by
week one in TB patients during successful treatment versus those that
failed treatment. The SLC1G levels were also associated with clinical
parameters used to measure bacterial burden (GeneXpert) and inflammation
(positron emission tomography-computed tomography (PET-CT)). These
results demonstrate the importance of metabolite identification and
provide strong evidence for applying SLC1G as a biomarker of TB treatment
response.
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Affiliation(s)
- Bryna L. Fitzgerald
- Mycobacteria Research Laboratories, Department of Microbiology, Immunology and Pathology, Colorado State University, 200 West Lake Street, 0922 Campus Delivery, Fort Collins, Colorado 80523, United States
| | - M. Nurul Islam
- Mycobacteria Research Laboratories, Department of Microbiology, Immunology and Pathology, Colorado State University, 200 West Lake Street, 0922 Campus Delivery, Fort Collins, Colorado 80523, United States
| | - Barbara Graham
- Mycobacteria Research Laboratories, Department of Microbiology, Immunology and Pathology, Colorado State University, 200 West Lake Street, 0922 Campus Delivery, Fort Collins, Colorado 80523, United States
| | - Sebabrata Mahapatra
- Mycobacteria Research Laboratories, Department of Microbiology, Immunology and Pathology, Colorado State University, 200 West Lake Street, 0922 Campus Delivery, Fort Collins, Colorado 80523, United States
| | - Kristofor Webb
- Mycobacteria Research Laboratories, Department of Microbiology, Immunology and Pathology, Colorado State University, 200 West Lake Street, 0922 Campus Delivery, Fort Collins, Colorado 80523, United States
| | - W. Henry Boom
- Department of Medicine, Tuberculosis Research Unit (TBRU), Case Western Reserve University, 10900 Euclid Avenue, Cleveland, Ohio 44106, United States
- Uganda-Case Western Reserve University Research Collaboration, 28A Upper Kololo Terrace, Kampala, Uganda
| | - Stephanus T. Malherbe
- DST/NRF Centre of Excellence for Biomedical Tuberculosis Research and MRC Centre for Molecular and Cellular Biology, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, P.O. Box 241, Francie van Zijl Drive, Cape Town 8000, South Africa
| | - Moses L. Joloba
- School for Biomedical Sciences, Makerere University, P.O. Box 7062, Kampala, Uganda
| | - John L. Johnson
- Department of Medicine, Tuberculosis Research Unit (TBRU), Case Western Reserve University, 10900 Euclid Avenue, Cleveland, Ohio 44106, United States
- Uganda-Case Western Reserve University Research Collaboration, 28A Upper Kololo Terrace, Kampala, Uganda
| | - Jill Winter
- Catalysis Foundation for Health, 2100 Addison Street, Berkeley, California 94704, United States
| | - Gerhard Walzl
- DST/NRF Centre of Excellence for Biomedical Tuberculosis Research and MRC Centre for Molecular and Cellular Biology, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, P.O. Box 241, Francie van Zijl Drive, Cape Town 8000, South Africa
| | - John T. Belisle
- Mycobacteria Research Laboratories, Department of Microbiology, Immunology and Pathology, Colorado State University, 200 West Lake Street, 0922 Campus Delivery, Fort Collins, Colorado 80523, United States
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Yue Y, Liu S, Han X, Wang M, Li Y, Huang Q, Li B, Yang M, Dai Y, Fu Y. iTRAQ-based proteomic analysis of human umbilical vein endothelial cells with platelet endothelial aggregation receptor-1 knockdown. J Cell Biochem 2019; 120:12300-12310. [PMID: 30809853 DOI: 10.1002/jcb.28494] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2018] [Revised: 12/13/2018] [Accepted: 01/10/2019] [Indexed: 11/06/2022]
Abstract
The disorders of hemostasis and coagulation were believed to be the main contributors to the pathogenesis of pulmonary thromboembolism (PTE), and platelets are the basic factors regulating hemostasis and coagulation and play important roles in the process of thrombosis. This study investigated the proteome of human umbilical vein endothelial cells (HUVECs) with platelet endothelial aggregation receptor-1 (PEAR1) knockdown using the isobaric tags for relative and absolute quantitation (iTRAQ) method and analyzed the role of differential abundance proteins (DAPs) in the regulation of platelets aggregation. Our results showed that the conditioned media-culturing HUVECs with PEAR1 knockdown partially suppressed the adenosine diphosphate (ADP)-induced platelet aggregation. The proteomics analysis was performed by using the iTRAQ technique, and a total of 215 DAPs (124 protein was upregulated and 91 protein were downregulated) were identified. The Gene Ontology (GO) enrichment analysis showed that proteins related to platelet α granule, adenosine triphosphate metabolic process, and endocytosis were significantly enriched. Further, the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis also identified the significant enrichment of endocytosis-related pathways. The real-time polymerase chain reaction assay confirmed that the expression of P2Y12 , mitochondrial carrier 2, NADH dehydrogenase (ubiquinone) iron-sulfur protein 3, and ubiquinol-cytochrome c reductase hinge protein are significantly downregulated in the HUVECs with PEAR1 knockdown. In conclusion, our in vitro results implicated that DAPs induced by PEAR1 knockdown might contribute to the platelet aggregation. Proteomic studies by employing GO enrichment and KEGG pathway analysis suggested that the potential effects of DAPs on platelet aggregation may be linked to the balance of ADP synthesis or degradation in mitochondria.
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Affiliation(s)
- Yongjian Yue
- Key Laboratory of Shenzhen Respiratory Diseases, Department of Pulmonary and Critical Care Medicine, Shenzhen Institute of Respiratory Disease, The First Affiliated Hospital of Southern University of Science and Technology, The Second Clinical Medical College of Jinan University, Shenzhen People's Hospital, Shenzhen, Guangdong, China
| | - Shengguo Liu
- Key Laboratory of Shenzhen Respiratory Diseases, Department of Pulmonary and Critical Care Medicine, Shenzhen Institute of Respiratory Disease, The First Affiliated Hospital of Southern University of Science and Technology, The Second Clinical Medical College of Jinan University, Shenzhen People's Hospital, Shenzhen, Guangdong, China
| | - Xuemei Han
- Key Laboratory of Shenzhen Respiratory Diseases, Department of Pulmonary and Critical Care Medicine, Shenzhen Institute of Respiratory Disease, The First Affiliated Hospital of Southern University of Science and Technology, The Second Clinical Medical College of Jinan University, Shenzhen People's Hospital, Shenzhen, Guangdong, China
| | - Minlian Wang
- Key Laboratory of Shenzhen Respiratory Diseases, Department of Pulmonary and Critical Care Medicine, Shenzhen Institute of Respiratory Disease, The First Affiliated Hospital of Southern University of Science and Technology, The Second Clinical Medical College of Jinan University, Shenzhen People's Hospital, Shenzhen, Guangdong, China
| | - Yazhen Li
- Key Laboratory of Shenzhen Respiratory Diseases, Department of Pulmonary and Critical Care Medicine, Shenzhen Institute of Respiratory Disease, The First Affiliated Hospital of Southern University of Science and Technology, The Second Clinical Medical College of Jinan University, Shenzhen People's Hospital, Shenzhen, Guangdong, China
| | - Qijun Huang
- Key Laboratory of Shenzhen Respiratory Diseases, Department of Pulmonary and Critical Care Medicine, Shenzhen Institute of Respiratory Disease, The First Affiliated Hospital of Southern University of Science and Technology, The Second Clinical Medical College of Jinan University, Shenzhen People's Hospital, Shenzhen, Guangdong, China
| | - Bo Li
- Department of Pediatrics, The First Affiliated Hospital of Southern University of Science and Technology, The Second Clinical Medical College of Jinan University, Shenzhen People's Hospital, Shenzhen, Guangdong, China
| | - Mo Yang
- The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, Guangdong, China
| | - Yong Dai
- Clinical Medical Research Center, The First Affiliated Hospital of Southern University of Science and Technology, Shenzhen People's Hospital, The Second Clinical Medical College of Jinan University, Shenzhen, Guangdong, China
| | - Yingyun Fu
- Key Laboratory of Shenzhen Respiratory Diseases, Department of Pulmonary and Critical Care Medicine, Shenzhen Institute of Respiratory Disease, The First Affiliated Hospital of Southern University of Science and Technology, The Second Clinical Medical College of Jinan University, Shenzhen People's Hospital, Shenzhen, Guangdong, China
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10
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Hu HM, Du HW, Cui JW, Feng DQ, Du ZD. New biomarkers of Kawasaki disease identified by urine proteomic analysis. FEBS Open Bio 2018; 9:265-275. [PMID: 30761252 PMCID: PMC6356163 DOI: 10.1002/2211-5463.12563] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2018] [Revised: 09/10/2018] [Accepted: 11/20/2018] [Indexed: 12/24/2022] Open
Abstract
Kawasaki disease (KD) is an acute systemic vasculitis that mainly afflicts infants and young children. The symptoms of KD are similar to those of various febrile diseases. Here, we attempted to develop accurate diagnostic biomarkers of KD by performing urine proteomic analysis of samples from healthy controls, patients with KD, and patients with another febrile disease, pneumonia (two patients). We identified differentially expressed proteins (DEPs) in KD as compared to normal controls. We also constructed functional annotation and protein-protein interaction (PPI) networks of DEPs in KD and pneumonia. DEPs common to both KD and pneumonia were identified, as well as DEPs specific to KD. Compared to normal control, 43 and 62 DEPs were identified in KD and pneumonia, respectively. Serine hydroxymethyltransferase 1 is a hub protein of the KD-specific PPI network. Thirteen DEPs common to both KD and pneumonia and 30 DEPs specific to KD were identified. Of these, the expression of eight DEPs could cluster normal and pneumonia samples into one group and cluster KD samples into another group based on hierarchical clustering. Our study identified several DEPs that may play a role in KD and that may serve as diagnostic biomarkers to distinguish patients with KD from both normal control and other febrile diseases.
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Affiliation(s)
- Hui-Min Hu
- Department of Cardiology Beijing Children's Hospital Capital Medical University Beijing China.,Department of Pediatrics Beijing Tongren Hospital Capital Medical University Beijing China
| | - Hong-Wu Du
- School of Chemistry and Biological Engineering University of Science & Technology Beijing China
| | - Jia-Wen Cui
- School of Chemistry and Biological Engineering University of Science & Technology Beijing China
| | - De-Qin Feng
- Institute of Microbiology Chinese Academy Science Beijing China
| | - Zhong-Dong Du
- Department of Cardiology Beijing Children's Hospital Capital Medical University Beijing China.,Shunyi Maternal and Children's Hospital of Beijing Children's Hospital China
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11
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Memon AA, Sundquist K, PirouziFard M, Elf JL, Strandberg K, Svensson PJ, Sundquist J, Zöller B. Identification of novel diagnostic biomarkers for deep venous thrombosis. Br J Haematol 2018; 181:378-385. [PMID: 29672822 DOI: 10.1111/bjh.15206] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2017] [Accepted: 02/05/2018] [Indexed: 12/21/2022]
Abstract
The combination of a negative D-dimer and a Wells score can rule out, but not confirm, a diagnosis of deep venous thrombosis (DVT). We aimed to identify new diagnostic biomarkers for DVT and to investigate their relationship with hypercoagulability markers [D-dimer and activated protein C-protein C inhibitor (APC-PCI) complex]. We screened 92 cardiovascular-specific proteins in plasma samples from 45 confirmed DVT patients and 45 age- and sex-matched non-DVT patients selected from a prospective multicentre diagnostic management study (SCORE) by Proseek Multiplex CVDIII96×96 . Plasma levels of 30 proteins were significantly different between DVT and non-DVT patients. After Bonferroni correction, plasma levels of seven proteins: P-selectin, transferrin receptor protein 1, von Willebrand factor, tissue factor pathway inhibitor, osteopontin (OPN), bleomycin hydrolase and ST2 protein remained significantly different. The area under curve (AUC) for these proteins ranged from 0·70 to 0·84. Furthermore, all seven identified proteins were significantly associated with markers of hypercoagulability. A combination of OPN and APC-PCI had the best ability to discriminate DVT from non-DVT patients (AUC = 0·94; sensitivity = 89% and specificity = s84%). In conclusion, we identified multiple proteins associated with markers of hypercoagulability and with a potential to become novel diagnostic biomarkers for DVT.
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Affiliation(s)
- Ashfaque A Memon
- Centre for Primary Health Care Research, Department of Clinical Sciences, Lund University/Skåne University Hospital, Malmö, Sweden
| | - Kristina Sundquist
- Centre for Primary Health Care Research, Department of Clinical Sciences, Lund University/Skåne University Hospital, Malmö, Sweden.,Department of Family Medicine and Community Health, Department of Population Health Science and Policy Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Mirnabi PirouziFard
- Centre for Primary Health Care Research, Department of Clinical Sciences, Lund University/Skåne University Hospital, Malmö, Sweden
| | - Johan L Elf
- Department of Coagulation Disorders, Skåne University Hospital, Lund University, Lund, Sweden
| | - Karin Strandberg
- Department of Coagulation Disorders, Skåne University Hospital, Lund University, Lund, Sweden
| | - Peter J Svensson
- Department of Coagulation Disorders, Skåne University Hospital, Lund University, Lund, Sweden
| | - Jan Sundquist
- Centre for Primary Health Care Research, Department of Clinical Sciences, Lund University/Skåne University Hospital, Malmö, Sweden.,Department of Family Medicine and Community Health, Department of Population Health Science and Policy Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Bengt Zöller
- Centre for Primary Health Care Research, Department of Clinical Sciences, Lund University/Skåne University Hospital, Malmö, Sweden
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12
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Voeten RLC, Ventouri IK, Haselberg R, Somsen GW. Capillary Electrophoresis: Trends and Recent Advances. Anal Chem 2018; 90:1464-1481. [PMID: 29298038 PMCID: PMC5994730 DOI: 10.1021/acs.analchem.8b00015] [Citation(s) in RCA: 188] [Impact Index Per Article: 31.3] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Affiliation(s)
- Robert L C Voeten
- Division of BioAnalytical Chemistry, Department of Chemistry and Pharmaceutical Sciences, Vrije Universiteit Amsterdam , de Boelelaan 1085, 1081 HV Amsterdam, The Netherlands.,TI-COAST , Science Park 904, 1098 XH Amsterdam, The Netherlands
| | - Iro K Ventouri
- TI-COAST , Science Park 904, 1098 XH Amsterdam, The Netherlands.,Analytical Chemistry Group, van't Hoff Institute for Molecular Sciences, University of Amsterdam , Science Park 904, 1098 XH Amsterdam, The Netherlands
| | - Rob Haselberg
- Division of BioAnalytical Chemistry, Department of Chemistry and Pharmaceutical Sciences, Vrije Universiteit Amsterdam , de Boelelaan 1085, 1081 HV Amsterdam, The Netherlands
| | - Govert W Somsen
- Division of BioAnalytical Chemistry, Department of Chemistry and Pharmaceutical Sciences, Vrije Universiteit Amsterdam , de Boelelaan 1085, 1081 HV Amsterdam, The Netherlands
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13
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Mokou M, Lygirou V, Vlahou A, Mischak H. Proteomics in cardiovascular disease: recent progress and clinical implication and implementation. Expert Rev Proteomics 2017; 14:117-136. [DOI: 10.1080/14789450.2017.1274653] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Affiliation(s)
- Marika Mokou
- Biotechnology Division, Biomedical Research Foundation Academy of Athens, Athens, Greece
| | - Vasiliki Lygirou
- Biotechnology Division, Biomedical Research Foundation Academy of Athens, Athens, Greece
| | - Antonia Vlahou
- Biotechnology Division, Biomedical Research Foundation Academy of Athens, Athens, Greece
| | - Harald Mischak
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
- Mosaiques Diagnostics, Hannover, Germany
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