General Introduction

Total Page:16

File Type:pdf, Size:1020Kb

General Introduction Regulation of the Gene Encoding Thrombin-Activable Fibrinolysis Inhibitor in Non-Hepatic Cells By JOELLEN HSUAN-HSIEN LIN A thesis submitted to the Graduate Program in Biochemistry in the Department of Biomedical & Molecular Sciences in conformity with the requirements for the Degree of Doctor of Philosophy Queen's University Kingston, Ontario, Canada September, 2011 Copyright© Joellen Hsuan-Hsien Lin, 2011 For my wonderful family, Tom Lin, Sophie Chuang, Sandy Lin and Mathieu Garand ii Tomorrow, we continue sailing forward. iii Abstract Thrombin-activable fibrinolysis inhibitor (TAFI) is a carboxypeptidase B-like pro- enzyme that, once activated, attenuates fibrinolysis. TAFIa also possesses anti-inflammatory properties. Although liver is the main source of plasma TAFI, platelet-derived TAFI has also been reported. An alternatively spliced TAFI variant resulted from the skipping of exon 6 and a 52-base deletion in exon 10 of CPB2 mRNA (∆6+10) was described to be brain specific. This TAFI variant is reputed to possess a secretase-like activity that cleaves β-amyloid precursor protein to form β-amyloid, a process involved in the onset of Alzheimer's disease. In this thesis, we report the identification of CPB2 mRNA and TAFI protein in various vascular and inflammatory cells. Specifically, we describe the expression of CPB2 mRNA in the megakaryocytic cell lines MEG-01 and Dami, the monocytic cell line THP-1, and peripheral blood mononuclear cells. TAFI protein was detected in differentiated Dami and THP-1 cells. We next describe the effect of external stimuli such as phorbol myristate acetate (PMA) on CPB2 expression in Dami and THP-1 cells. We found that PMA treatment increases both CPB2 mRNA abundance and promoter activity in Dami cells, and decreases both CPB2 mRNA abundance and promoter activity in THP-1 cells. Deletion analysis of the CPB2 promoter indicated cell-type specific regulation of CPB2 gene expression. Finally, we evaluated the expression of alternatively spliced CPB2 mRNA variants in hepatic and non hepatic cells. We found that exon 6 skipping variants are expressed in all cell types of interest. The variant previously reported to be brain specific was also found to be expressed in platelets. We found that the alternatively spliced TAFI variants accumulated inside the cells in a non-secretable, hypoglycosylated form and showed no carboxypeptidase activity. iv Taken together, this thesis provides further evidence supporting the hypothesis that platelet-derived TAFI is originated from CPB 2 gene expression in megakaryocytes. Moreover, our data imply a potential for site-specific anti-inflammatory control provided by macrophage- derived TAFI. Alternative splicing of the CPB2 mRNA may give rise to variants with an intracellular role, perhaps as a peptidase chaperone, and may modulate the synthesis of secretable TAFI. v Acknowledgement s I would like to express my sincere gratitude to my supervisors Drs. Marlys L. Koschinsky and Michael B. Boffa for giving me the opportunity to work in their laboratories, first at Queen's University in Kingston then at the University of Windsor in Windsor, throughout the course of my almost 8 years of research training. I will always remember Dr. Koschinsky being open- minded about new ideas, embracing our individualities, encouraging creativity, and having high tolerance for differences in opinion--key ingredients in making science fun and meaningful. Drs. Colin Funk and Bruce Hill and Diane Sommerfeld have also provided advice and encouragement over the years. I would also like to thank Dr. Lev Becker for inspiration in the early stage of my career, past MLK and MBB lab members, particularly Dr. Taewoo Cho, Dr. John Tra, Steven Schadinger, Dainn Andrews, Sue Johnston, and Curtis Noordhof for fruitful discussions and great times in and outside of the lab. Furthermore, I would like to thank our assistant Branislava Zagorac for her incredible hard work, so we can go full throttle in completing projects with tight deadlines. Big thanks to other members of MLK/MBB lab, Andrew Craig, Nicole Feric, Tanya Marar, Dragana Novakovic, Rocco Romagunolo, and Corey Scipione for advice and support during difficult times, and for making MLK/MBB lab the craziest and the funniest lab my husband and I have ever been part of. Thanks to David, Skye, Kisely and Carter Barbic for their friendships. This work would be impossible without the care from my husband Dr. Mathieu Garand, who always makes sure that I am well fed, well rested and well prepared for any challenges ahead. Finally, to my parents and sister, Tom Lin, Sophie Chuang and Sandy Lin, thank you for always being there for me and Mat. vi Table of Contents Dedication........................................................................................................................................ii Abstract............................................................................................................................................iv Acknowledgements.........................................................................................................................vi Table of Contents...........................................................................................................................vii List of Figures................................................................................................................................xiv List of Tables...............................................................................................................................xvii List of Abbreviations...................................................................................................................xviii Preface.........................................................................................................................................xxiii Chapter 1: General introduction..................................................................................................1 1.1 TAFI as a molecular link between hemostasis, fibrinolysis, and inflammation.........................1 1.1.1 Cell-based model of hemostasis..................................................................................2 1.1.2 Anticoagulant and fibrinolytic systems.......................................................................4 1.2 The CPB2 gene and the properties of TAFI...............................................................................5 1.2.1 The CPB2 gene............................................................................................................5 1.2.2 The properties of TAFI................................................................................................6 vii 1.2.3 The structure of TAFI, the basis for intrinsic TAFI zymogen activity, and the TAFIa auto-inactivation mechanism......................................................................................9 1.2.4 The role of activation peptide....................................................................................11 1.3 Implication of TAFI as a risk factor for atherothrombotic diseases.........................................12 1.4 TAFI in inflammation...............................................................................................................13 1.4.1 TAFIa as an anti-inflammatory molecule..................................................................13 1.4.2 TAFI is an acute phase protein in mice.....................................................................14 1.4.3 Plasma TAFI level is associated with inflammatory disease states in humans.........15 1.4.4 TAFI in wound healing..............................................................................................16 1.5 Regulation of hepatic CPB2 expression...................................................................................17 1.6 Non-hepatic TAFI pools...........................................................................................................19 1.6.1 Brain TAFI, a potential role in Alzheimer's disease..................................................19 1.6.2 Adipocytic and endothelial TAFI..............................................................................20 1.6.3 Platelet TAFI.............................................................................................................21 1.6.4 Keratinocytic TAFI....................................................................................................22 1.7 Physiological and pathological roles of macrophages and smooth muscle cells.....................22 1.8 Rationale, hypothesis, and objectives.......................................................................................24 viii Chapter 2: Identification of human thrombin-activatable fibrinolysis inhibitor in vascular and inflammatory cells.............................................................................................29 2.1 Statement of co-authorship.......................................................................................................29 2.2 Abstract.....................................................................................................................................29 2.3 Introduction..............................................................................................................................30 2.4 Materials and methods..............................................................................................................32 2.4.1 Cell culture................................................................................................................32
Recommended publications
  • Common Gene Polymorphisms Associated with Thrombophilia
    Chapter 5 Common Gene Polymorphisms Associated with Thrombophilia Christos Yapijakis, Zoe Serefoglou and Constantinos Voumvourakis Additional information is available at the end of the chapter http://dx.doi.org/10.5772/61859 Abstract Genetic association studies have revealed a correlation between DNA variations in genes encoding factors of the hemostatic system and thrombosis-related disease. Certain var‐ iant alleles of these genes that affect either gene expression or function of encoded protein are known to be genetic risk factors for thrombophilia. The chapter presents the current genetics and molecular biology knowledge of the most important DNA polymorphisms in thrombosis-related genes encoding coagulation factor V (FV), coagulation factor II (FII), coagulation factor XII (FXII), coagulation factor XIII A1 subunit (FXIIIA1), 5,10- methylene tetrahydrofolate reductase (MTHFR), serpine1 (SERPINE1), angiotensin I-con‐ verting enzyme (ACE), angiotensinogen (AGT), integrin A2 (ITGA2), plasma carboxypeptidase B2 (CPB2), platelet glycoprotein Ib α polypeptide (GP1BA), thrombo‐ modulin (THBD) and protein Z (PROZ). The molecular detection methods of each DNA polymorphism is presented, in addition to the current knowledge regarding its influence on thrombophilia and related thrombotic events, including stroke, myocardial infarction, deep vein thrombosis, spontaneous abortion, etc. In addition, best thrombosis prevention strategies with a combination of genetic counseling and molecular testing are discussed. Keywords: Thrombophilia, coagulation
    [Show full text]
  • A Differential Protein Solubility Approach for the Depletion of Highly Abundant Proteins in Plasma Using Ammonium Sulfate Ravi Chand Bollineni1, 2*, Ingrid J
    Electronic Supplementary Material (ESI) for Analyst. This journal is © The Royal Society of Chemistry 2015 A differential protein solubility approach for the depletion of highly abundant proteins in plasma using ammonium sulfate Ravi Chand Bollineni1, 2*, Ingrid J. Guldvik3, Henrik Gronberg4, Fredrik Wiklund4, Ian G. Mills3, 5, 6 and Bernd Thiede1, 2 1Department of Biosciences, University of Oslo, Oslo, Norway 2Biotechnology Centre of Oslo, University of Oslo, Oslo, Norway 3Centre for Molecular Medicine Norway (NCMM), University of Oslo and Oslo University Hospitals, Norway 4Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden 5Department of Cancer Prevention, Oslo University Hospitals, Oslo, Norway 6Department of Urology, Oslo University Hospitals, Oslo, Norway Keywords: ammonium sulfate, blood, depletion, plasma, protein precipitation *To whom the correspondence should be addressed: Ravi Chand Bollineni, Department of Biosciences, University of Oslo, P.O. Box 1066 Blindern, 0316 Oslo, Norway, Tel.: +47-22840512; Fax +47-22840501; E-mail: [email protected] Supplementary information Figure S1: SDS-PAGE analysis of serum proteins precipitated with the ethanol/sodium acetate (A), TCA/acetone (B) and ammonium sulfate precipitation (C). A) Ethanol/sodium acetate precipitation: (1) pellet obtained after 42% ethanol precipitation and (2) pellet obtained after precipitation of proteins in the supernatant with 0.8M sodium acetate (pH5.7) and (3) proteins left over in the supernatant. B) Serum proteins are precipitated with 10% TCA/acetone (1) and (2) proteins left over in the supernatant. C) Serum proteins are precipitated with increasing ammonium sulfate concentrations 15% (1), 25% (2), 35% (3), 40% (4), 45% (5), 50% (6) and total serum (7).
    [Show full text]
  • Supplementary Table S4. FGA Co-Expressed Gene List in LUAD
    Supplementary Table S4. FGA co-expressed gene list in LUAD tumors Symbol R Locus Description FGG 0.919 4q28 fibrinogen gamma chain FGL1 0.635 8p22 fibrinogen-like 1 SLC7A2 0.536 8p22 solute carrier family 7 (cationic amino acid transporter, y+ system), member 2 DUSP4 0.521 8p12-p11 dual specificity phosphatase 4 HAL 0.51 12q22-q24.1histidine ammonia-lyase PDE4D 0.499 5q12 phosphodiesterase 4D, cAMP-specific FURIN 0.497 15q26.1 furin (paired basic amino acid cleaving enzyme) CPS1 0.49 2q35 carbamoyl-phosphate synthase 1, mitochondrial TESC 0.478 12q24.22 tescalcin INHA 0.465 2q35 inhibin, alpha S100P 0.461 4p16 S100 calcium binding protein P VPS37A 0.447 8p22 vacuolar protein sorting 37 homolog A (S. cerevisiae) SLC16A14 0.447 2q36.3 solute carrier family 16, member 14 PPARGC1A 0.443 4p15.1 peroxisome proliferator-activated receptor gamma, coactivator 1 alpha SIK1 0.435 21q22.3 salt-inducible kinase 1 IRS2 0.434 13q34 insulin receptor substrate 2 RND1 0.433 12q12 Rho family GTPase 1 HGD 0.433 3q13.33 homogentisate 1,2-dioxygenase PTP4A1 0.432 6q12 protein tyrosine phosphatase type IVA, member 1 C8orf4 0.428 8p11.2 chromosome 8 open reading frame 4 DDC 0.427 7p12.2 dopa decarboxylase (aromatic L-amino acid decarboxylase) TACC2 0.427 10q26 transforming, acidic coiled-coil containing protein 2 MUC13 0.422 3q21.2 mucin 13, cell surface associated C5 0.412 9q33-q34 complement component 5 NR4A2 0.412 2q22-q23 nuclear receptor subfamily 4, group A, member 2 EYS 0.411 6q12 eyes shut homolog (Drosophila) GPX2 0.406 14q24.1 glutathione peroxidase
    [Show full text]
  • Activation of NF-Κb Signaling Promotes Prostate Cancer Progression in the Mouse and Predicts Poor Progression and Death in Pati
    SUPPLEMENTARY DATA: Supplementary Figure 1. NF-B signaling is continuously activated in the prostate of - mouse. In order to determine the NF- '- mouse, we crossed the '- mice with NGL, a NF-B reporter mouse. NGL transgenic mice are engineered to express a GFP/luciferase fusion protein under the control of a promoter containing multiple NF-B consensus binding sites (1). Since the NF-'- NGL mouse is activated in the whole body, the relatively high level of background activation does not allow detection of NF- prostate. Therefore, in order to determine the NF-the '- mouse, we grafted the prostates from 'o the kidney capsule of male nude mice using a tissue rescue technique. NF-B activity was measured at 7 weeks after grafting. The bioluminescence imaging shows NF-B signaling is activated (green) in the kidney, where the grafted prostate from ' use resides (B). In panel (A), the control mouse (grafted with the prostate from NGL mouse) has no bioluminescence, illustrating that in the absence of '-, there is not activation of NF- B. The circles indicate kidney areas. 1 Supplementary Figure 2. NF-B signaling activated in the prostate of Myc/IB bigenic mouse. The prostates from Myc alone (Myc) and bigenic (Myc/IB) mice were harvested at 6 months of age. Activation of NF-B signaling in the prostate was determined by IHC staining of p65-pho antibody. 2 Supplementary Figure 3. Continuous activation of NF-B signaling promotes PCa progression in the Hi-Myc transgenic mouse. The prostates from Myc alone (Myc) and bigeneic (Myc/IB) mice were harvested at 6 months of age.
    [Show full text]
  • Carboxypeptidase B2 (CPB2) Human Shrna Lentiviral Particle (Locus ID 1361) Product Data
    OriGene Technologies, Inc. 9620 Medical Center Drive, Ste 200 Rockville, MD 20850, US Phone: +1-888-267-4436 [email protected] EU: [email protected] CN: [email protected] Product datasheet for TL305252V Carboxypeptidase B2 (CPB2) Human shRNA Lentiviral Particle (Locus ID 1361) Product data: Product Type: shRNA Lentiviral Particles Product Name: Carboxypeptidase B2 (CPB2) Human shRNA Lentiviral Particle (Locus ID 1361) Locus ID: 1361 Synonyms: CPU; PCPB; TAFI Vector: pGFP-C-shLenti (TR30023) Format: Lentiviral particles RefSeq: NM_001278541, NM_001872, NM_016413, NM_001872.1, NM_001872.2, NM_001872.3, NM_001872.4, NM_016413.1, NM_016413.2, NM_016413.3, NM_001278541.1, BC007057, BC007057.1, NM_001872.5 Summary: Carboxypeptidases are enzymes that hydrolyze C-terminal peptide bonds. The carboxypeptidase family includes metallo-, serine, and cysteine carboxypeptidases. According to their substrate specificity, these enzymes are referred to as carboxypeptidase A (cleaving aliphatic residues) or carboxypeptidase B (cleaving basic amino residues). The protein encoded by this gene is activated by trypsin and acts on carboxypeptidase B substrates. After thrombin activation, the mature protein downregulates fibrinolysis. Polymorphisms have been described for this gene and its promoter region. Alternate splicing results in multiple transcript variants. [provided by RefSeq, Jun 2013] shRNA Design: These shRNA constructs were designed against multiple splice variants at this gene locus. To be certain that your variant of interest is targeted,
    [Show full text]
  • Electronic Supplementary Material (ESI) for Analyst. This Journal Is © the Royal Society of Chemistry 2020
    Electronic Supplementary Material (ESI) for Analyst. This journal is © The Royal Society of Chemistry 2020 Table S1.
    [Show full text]
  • Genetic Factors for Obesity
    843-851 5/10/06 13:36 Page 843 INTERNATIONAL JOURNAL OF MOLECULAR MEDICINE 18: 843-851, 2006 843 Genetic factors for obesity YOSHIJI YAMADA1,2, KIMIHIKO KATO3, TAKASHI KAMEYAMA4, KIYOSHI YOKOI3, HITOSHI MATSUO5, TOMONORI SEGAWA5, SACHIRO WATANABE5, SAHOKO ICHIHARA1, HIDEMI YOSHIDA6, KEI SATOH6 and YOSHINORI NOZAWA2 1Department of Human Functional Genomics, Life Science Research Center, Mie University, Tsu; 2Gifu International Institute of Biotechnology, Kakamigahara; Departments of 3Cardiovascular Medicine and 4Neurology, Gifu Prefectural Tajimi Hospital, Tajimi; 5Department of Cardiology, Gifu Prefectural Gifu Hospital, Gifu; 6Department of Vascular Biology, Institute of Brain Science, Hirosaki University School of Medicine, Hirosaki, Japan Received May 29, 2006; Accepted July 20, 2006 Abstract. The purpose of the present study was to identify Introduction gene polymorphisms for the reliable assessment of genetic factors for obesity. The study population comprised 3906 The prevalence of obesity, a multifactorial disease caused by unrelated Japanese individuals (2286 men, 1620 women), an interaction of genetic factors with lifestyle and environ- including 1196 subjects (677 men, 519 women) with obesity mental factors (1), is rapidly increasing worldwide. A sedentary (body mass index of ≥25 kg/m2) and 2710 controls (1609 men, lifestyle, high-fat and high-energy diet, and genetic pre- 1101 women). The genotypes for 147 polymorphisms of 124 disposition to obesity all contribute to the epidemic. Although candidate genes were determined with a method that combines genetic linkage analyses (2-5) and candidate gene approaches the polymerase chain reaction and sequence-specific (6-9) have implicated several loci and candidate genes in oligonucleotide probes with suspension array technology. predisposition to obesity, the genes that contribute to genetic Multivariable logistic regression analysis with adjustment for susceptibility to this condition remain to be identified age, sex, and the prevalence of smoking revealed that the - definitively.
    [Show full text]
  • Common Gene Polymorphisms Associated with Thrombophilia
    Chapter 5 Common Gene Polymorphisms Associated with Thrombophilia Christos Yapijakis, Zoe Serefoglou and Constantinos Voumvourakis Additional information is available at the end of the chapter http://dx.doi.org/10.5772/61859 Abstract Genetic association studies have revealed a correlation between DNA variations in genes encoding factors of the hemostatic system and thrombosis-related disease. Certain var‐ iant alleles of these genes that affect either gene expression or function of encoded protein are known to be genetic risk factors for thrombophilia. The chapter presents the current genetics and molecular biology knowledge of the most important DNA polymorphisms in thrombosis-related genes encoding coagulation factor V (FV), coagulation factor II (FII), coagulation factor XII (FXII), coagulation factor XIII A1 subunit (FXIIIA1), 5,10- methylene tetrahydrofolate reductase (MTHFR), serpine1 (SERPINE1), angiotensin I-con‐ verting enzyme (ACE), angiotensinogen (AGT), integrin A2 (ITGA2), plasma carboxypeptidase B2 (CPB2), platelet glycoprotein Ib α polypeptide (GP1BA), thrombo‐ modulin (THBD) and protein Z (PROZ). The molecular detection methods of each DNA polymorphism is presented, in addition to the current knowledge regarding its influence on thrombophilia and related thrombotic events, including stroke, myocardial infarction, deep vein thrombosis, spontaneous abortion, etc. In addition, best thrombosis prevention strategies with a combination of genetic counseling and molecular testing are discussed. Keywords: Thrombophilia, coagulation
    [Show full text]
  • Proteomics Analysis Reveals a Th17-Prone Cell Population in Pre-Symptomatic Graft- Versus-Host Disease
    Supplemental Data for: Proteomics analysis reveals a Th17-prone cell population in pre-symptomatic graft- versus-host disease Authors: Wei Li,1* Liangyi Liu,1* Aurelie Gomez,2* Jilu Zhang,1 Abdulraouf Ramadan,1 Qing Zhang,3 Sung W. Choi,2 Peng Zhang,2 Joel K. Greenson,2 Chen Liu,4 Di Jiang,5 Elizabeth Virts,1 Stephanie L. Kelich,1 Hong Wei Chu,5 Ryan Flynn,6 Bruce R. Blazar,6 Helmut Hanenberg,1 Samir Hanash,7 and Sophie Paczesny1‡ Affiliations: 1Indiana University School of Medicine, Indianapolis, IN, USA; 2University of Michigan, Ann Arbor, MI, USA; 3Fred Hutchinson Cancer Research Center, Seattle, WA, USA; 4Rutgers-Robert Wood Johnson Medical School, New Brunswick, NJ, USA; 5National Jewish Health, Denver, CO, USA; 6University of Minnesota, Minneapolis, MN, USA; 7MD Anderson Cancer Center, Houston, TX, USA. *These authors contributed equally to this work. ‡Corresponding author. E-mail: [email protected] This PDF file includes: Supplemental Figure 1. Conventional T cells (Tcons) and Tregs gating strategy. Supplemental Figure 2. Absolute lymphocyte counts and correlation of CD4+CD146+CCR5+ T-cell counts and frequencies of CD4+CD146+CCR5+ T cells in PB of HCT patients. Supplemental Figure 3. Frequencies of CD4+CD146+ T cells and CD4+CCR5+ T cells in PB of HCT patients. Supplemental Figure 4. CD146 expression on CD4 and CD8 T cells in PB of healthy donors and GI-GVHD patients. Supplemental Figure 5. Receiver operating characteristic (ROC) curve comparing GI-GVHD versus non-GVHD enteritis HCT patients. Supplemental Figure 6. CD4+CD146+CCR5+ T-cell frequency stratified by maximum GI- GVHD stage.
    [Show full text]
  • Both Full-Length and Protease-Cleaved Products of Osteopontin Are Elevated in Infectious Diseases
    biomedicines Review Both Full-Length and Protease-Cleaved Products of Osteopontin Are Elevated in Infectious Diseases Toshio Hattori 1,* , Hiroko Iwasaki-Hozumi 1 , Gaowa Bai 1 , Haorile Chagan-Yasutan 1,2, Ashwnini Shete 3 , Elizabeth Freda Telan 4, Atsushi Takahashi 1, Yugo Ashino 5 and Takashi Matsuba 6 1 Research Institute of Health and Welfare, Kibi International University, Takahashi 716-8508, Japan; [email protected] (H.I.-H.); [email protected] (G.B.); [email protected] (H.C.-Y.); [email protected] (A.T.) 2 Mongolian Psychosomatic Medicine Department, International Mongolian Medicine Hospital of Inner Mongolia, Hohhot 010065, China 3 ICMR-National AIDS Research Institute, 73 G-Block, MIDC, Bhosari, Pune 411026, India; [email protected] 4 STD AIDS Cooperative Central Laboratory, San Lazaro Hospital, Manila 1003, Philippines; [email protected] 5 Department of Respiratory Medicine, Sendai City Hospital, Sendai 982-8502, Japan; [email protected] 6 Department of Animal Pharmaceutical Science, School of Pharmaceutical Science, Kyusyu University of Health and Welfare, Nobeoka 882-8508, Japan; [email protected] * Correspondence: [email protected]; Tel./Fax: +81-866-22-9469 Citation: Hattori, T.; Abstract: Circulating full-length osteopontin (FL-OPN) is elevated in plasma from patients with Iwasaki-Hozumi, H.; Bai, G.; various infectious diseases, such as adult T-cell leukemia, Mycobacterium tuberculosis (TB), hepatitis Chagan-Yasutan, H.; Shete, A.; Telan, virus infection, leptospirosis, acquired immune deficiency syndrome (AIDS), AIDS/TB, and coron- E.F.; Takahashi, A.; Ashino, Y.; avirus disease 2019 (COVID-19). Proteolysis of OPN by thrombin, matrix metalloproteases, caspase Matsuba, T.
    [Show full text]
  • High Fat Diet Delays Plasmin Generation in a Thrombomodulin-Dependent Manner in Mice
    American Society of Hematology 2021 L Street NW, Suite 900, Washington, DC 20036 Phone: 202-776-0544 | Fax 202-776-0545 [email protected] High fat diet delays plasmin generation in a thrombomodulin-dependent manner in mice Downloaded from https://ashpublications.org/blood/article-pdf/doi/10.1182/blood.2019004267/1716422/blood.2019004267.pdf by UNIV OF NC/ACQ SRVCS user on 25 March 2020 Tracking no: BLD-2019-004267R1 Adam Miszta (University of North Carolina at Chapel Hill, United States) Anna Kopec (University of North Carolina at Chapel Hill, United States) Asmita Pant (Michigan State University, ) Lori Holle (University of North Carolina, United States) James Byrnes (University of California, San Francisco, United States) Daniel Lawrence (University of Michigan Medical School, United States) Kirk Hansen (UC Denver, United States) Matthew Flick (University of North Carolina, Chapel Hill, United States) James Luyendyk (Michigan State University, United States) Bas de Laat (Synapse BV, Netherlands) Alisa Wolberg (University of North Carolina at Chapel Hill, United States) Abstract: Obesity is a prevalent prothrombotic risk factor marked by enhanced fibrin formation and suppressed fibrinolysis. Fibrin both promotes thrombotic events and drives obesity pathophysiology, but a lack of essential analytical tools has left fibrinolytic mechanisms affected by obesity poorly defined. Using a plasmin-specific fluorogenic substrate, we developed a plasmin generation (PG) assay that is sensitive to tissue plasminogen activator, α2-antiplasmin, active plasminogen activator inhibitor (PAI-1), and fibrin formation, but not fibrin crosslinking in mouse plasma. Compared to plasma from mice fed a control diet (CD), plasmas from mice fed a high fat diet (HFD) showed delayed PG and reduced PG velocity.
    [Show full text]
  • COVID-19 Biomarkers for Severity Mapped to Polycystic Ovary Syndrome
    Moin et al. J Transl Med (2020) 18:490 https://doi.org/10.1186/s12967-020-02669-2 Journal of Translational Medicine LETTER TO THE EDITOR Open Access COVID-19 biomarkers for severity mapped to polycystic ovary syndrome Abu Saleh Md Moin1, Thozhukat Sathyapalan2, Stephen L. Atkin3† and Alexandra E. Butler1*† To the Editor, diagnostic criteria. Proteins that were identifed as being altered in COVID-19 disease for vessel damage (16 pro- Large scale multi-omics analysis has identifed signif- teins), platelet degranulation (11 proteins), coagula- cant diferences in the biomarkers between COVID-19 tion cascade (24 proteins) and acute phase response (9 disease and control subjects [1]. Tese protein panels tar- proteins), shown in Table 1, were determined by Slow get biological processes involved in vessel damage, plate- Of-rate Modifed Aptamer (SOMA)-scan plasma pro- let degranulation, the coagulation cascade and the acute tein measurement [6]. Statistics were performed using phase response [1], with greater protein changes depend- Graphpad Prism 8.0. ent on the COVID-19 severity. However, it is observed As reported previously [2], cohorts were age-matched, that in metabolic conditions such as polycystic ovary but PCOS women had increased insulin resistance, syndrome expressed proteins difer compared to control androgens and CRP (p < 0.001): systolic and diastolic women [2] and PCOS patients have increased platelet blood pressure, and waist circumference were higher aggregation and decreased plasma fbrinolytic activity, (p < 0.05). resulting in
    [Show full text]