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עמוד בית
Thu, 15.05.25

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December 2002
Gilles Morali MD1, Rifaat Safadi MD, Orit Pappo MD, Oded Jurim MD and Daniel Shouval MD
November 2002
Avi Katz, MD, David J. Van-Dijk, MD, Helena Aingorn, PhD, Arie Erman, MD, Malcolm Davies, MD, David Darmon, MD, Hagit Hurvitz, MD and Israel Vlodavsky, PhD

Background: Decreased heparan sulfate proteoglycan content of the glomerular basement membrane has been described in proteinuric patients with diabetic nephropathy. Heparanase is an endo-b-D-glucuronidase that cleaves negatively charged heparan sulfate side chains in the basement membrane and extracellular matrix.

Objectives: To investigate whether urine from type I diabetic patients differs in heparanase activity from control subjects and whether resident glomerular cells could be the source of urinary heparanase.

Methods: Using soluble 35S-HSPG[1] and sulfate-labeled extracellular matrix we assessed heparanase activity in human glomerular epithelial cells, rat mesangial cells, and urine from 73 type I diabetic patients. Heparanase activity resulted in the conversion of a high molecular weight sulfate-labeled HSPG into heparan sulfate degradation fragments as determined by gel filtration analysis.

Results: High heparanase activity was found in lysates of both epithelial and mesangial cells. Immunohistochemical staining localized the heparanase protein to both glomeruli capillaries and tubular epithelium. Heparanase activity was detected in the urine of 16% and 25% of the normoalbuminuric and microalbuminuric diabetic patients, respectively. Urine from 40 healthy individuals did not posses detectable heparanase. Urinary heparanase activity was associated with worse glycemic control.

Conclusion: We suggest that heparanase enzyme participates in the turnover of glomerular HSPG. Hyperglycemia enhances heparanase activity and/or secretion in some diabetic patients, resulting in the loss of albumin permselective properties of the GBM[2].

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[1] HSPG = heparan sulfate proteoglycan

[2] GBM = glomerular basement membrane

Job Harenberg, MD, Jorg Ingrid, MD and Fenyvesi Tivadar, MD

Background: Venous thromboembolic diseases are treated initially with low molecular weight heparin followed by oral coumarins.

Objectives: To investigate an orally available direct thrombin inhibitor for the acute treatment of venous thromboembolism as well as for prophylaxis of recurrent events.

Methods: The direct thrombin inhibitor ximelagatran was compared with subcutaneous LMW[1] heparins followed by oral warfarin in a double-blind randomized prospective multicenter trial in patients with acute VTE[2]. A pharmacokinetic study was performed in the VTE patients. For assessing the prevention of recurrent VTE, double-blind prospective randomized studies were conducted as follows: a) ximelagatran compared to warfarin for 6 months, and b) prolonged anticoagulation of ximelagatran vs. placebo for 18 months after termination of 6 months coumarin therapy.

Results: Two dose-finding studies and the pharmacokinetic analysis of ximelagatran in acute VTE were completed. About 2,500 patients were randomized to investigate 2 x 36 mg ximelagatran versus 2 x 1 mg/kg body weight enoxaparin followed by warfarin. The study hypothesized that the efficacy was equal in both treatment regimens for recurrent VTE documented by objective methods. The second study, with 1,234 patients, aimed to demonstrate a reduced incidence of recurrent thromboembolic events documented by objective methods after 18 months of treatment with 2 x 24 mg ximelagatran daily compared to placebo.

Conclusion: These large-scale clinical trials will soon yield the results of the comparison between oral ximelagatran and subcutaneous LMW heparin for treatment of acute VTE, and of warfarin for prophylaxis of recurrent events for 6 months and for a prolonged prophylaxis for another 18 months.

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[1] LMW = low molecular weight

[2] VTE = venous thromboembolism

October 2002
Misha Witz, MD, Jonathan M. Lehmann, MB, BChir, Ali Shnaker, MD, Itamar Pomeranz, MD,George Leichtman, MD and Benthly Novis, MD, FRCP
September 2002
Gisele Zandman-Goddard, MD and Miri Blank, PhD
June 2002
Nurit Rosenberg, PhD, Ariella Zivelin, PhD, Angela Chetrit, PhD, Rima Dardik, PhD, Nurit Kornbrot, MSc, Dov Freimark, MD and Aida Inbal, MD

Background: Platelet adhesion and aggregation are mediated by specific platelet membrane glycoproteins GPIa/IIa, GPIba, and GPIIb/IIIa, and are essential steps in thrombus formation and development of acute myocardial infarction.

Objective: To evaluate the risks exerted by each of the following polymorphisms: HPA-1a/b in GPIIIa; 807C/T in GPIa; and HPA-2a/b, VNTR and Kozak C/T in GPIba in young males with AMI[1]..

Methods: We conducted a case-control study of 100 young males with first AMI before the age of 53 and 119 healthy controls of similar age. All subjects were tested for the above polymorphisms.

Results: The allele frequencies of each of the platelet polymorphism were not significantly different between the young men with AMI and the controls. Smoking alone was associated with a 9.97-fold risk, and the presence of at least one metabolic risk factor resulted in a 2.57-fold risk of AMI.

Conclusion: These results indicate that platelet glycoproteins polymorphisms are not an independent risk factor for AMI.






[1] AMI = acute myocardial infarction


Naomi B. Zak, PhD, Sagiv Shifman, MSc, Anne Shalom, PhD and Ariel Darvasi, PhD, MPH

The complex genetic nature of many common diseases makes the identification of the genes that predispose to these ailments a difficult task. In this review we discuss the elements that contribute to the complexity of polygenic diseases and describe an experimental strategy for disease-related gene discovery that attempts to overcome these factors. This strategy involves a population-based case-control paradigm and makes use of a highly informative, homogeneous founder population, many of whose members presently reside in Israel. The properties of single nucleotide polymorphisms, which are presently the markers of choice, are discussed, and the technologies that are currently available for SNP[1] genotyping are briefly presented.

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[1] SNP = single nucleotide polymorphism

May 2002
Tatiana Fadeeva, MD, Yair Levy, MD, Gisele Zandman-Goddard, MD, Segal Tal, MD and Marina Perelman, MD
April 2002
Lotan Shilo, MD, Susy Kovatz, MD, Ruth Hadari, MD, Eli Weiss, PhD and Louis Shenkman, MD
March 2002
Dov Gefel, MD, Maria Doncheva, MD, Eli Ben-Valid, MD, Abed El Wahab-Daraushe, MD, Gil Lugassy, MD and Ben-Ami Sela, PhD
Giselle Zandman-Goddard, MD and Sigal Tal, MD
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