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Gout: HELP
Articles from Croatia
Based on 4 articles published since 2008
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These are the 4 published articles about Gout that originated from Croatia during 2008-2019.
 
+ Citations + Abstracts
1 Article Modulation of genetic associations with serum urate levels by body-mass-index in humans. 2015

Huffman, Jennifer E / Albrecht, Eva / Teumer, Alexander / Mangino, Massimo / Kapur, Karen / Johnson, Toby / Kutalik, Zoltán / Pirastu, Nicola / Pistis, Giorgio / Lopez, Lorna M / Haller, Toomas / Salo, Perttu / Goel, Anuj / Li, Man / Tanaka, Toshiko / Dehghan, Abbas / Ruggiero, Daniela / Malerba, Giovanni / Smith, Albert V / Nolte, Ilja M / Portas, Laura / Phipps-Green, Amanda / Boteva, Lora / Navarro, Pau / Johansson, Asa / Hicks, Andrew A / Polasek, Ozren / Esko, Tõnu / Peden, John F / Harris, Sarah E / Murgia, Federico / Wild, Sarah H / Tenesa, Albert / Tin, Adrienne / Mihailov, Evelin / Grotevendt, Anne / Gislason, Gauti K / Coresh, Josef / D'Adamo, Pio / Ulivi, Sheila / Vollenweider, Peter / Waeber, Gerard / Campbell, Susan / Kolcic, Ivana / Fisher, Krista / Viigimaa, Margus / Metter, Jeffrey E / Masciullo, Corrado / Trabetti, Elisabetta / Bombieri, Cristina / Sorice, Rossella / Döring, Angela / Reischl, Eva / Strauch, Konstantin / Hofman, Albert / Uitterlinden, Andre G / Waldenberger, Melanie / Wichmann, H-Erich / Davies, Gail / Gow, Alan J / Dalbeth, Nicola / Stamp, Lisa / Smit, Johannes H / Kirin, Mirna / Nagaraja, Ramaiah / Nauck, Matthias / Schurmann, Claudia / Budde, Kathrin / Farrington, Susan M / Theodoratou, Evropi / Jula, Antti / Salomaa, Veikko / Sala, Cinzia / Hengstenberg, Christian / Burnier, Michel / Mägi, Reedik / Klopp, Norman / Kloiber, Stefan / Schipf, Sabine / Ripatti, Samuli / Cabras, Stefano / Soranzo, Nicole / Homuth, Georg / Nutile, Teresa / Munroe, Patricia B / Hastie, Nicholas / Campbell, Harry / Rudan, Igor / Cabrera, Claudia / Haley, Chris / Franco, Oscar H / Merriman, Tony R / Gudnason, Vilmundur / Pirastu, Mario / Penninx, Brenda W / Snieder, Harold / Metspalu, Andres / Ciullo, Marina / Pramstaller, Peter P / van Duijn, Cornelia M / Ferrucci, Luigi / Gambaro, Giovanni / Deary, Ian J / Dunlop, Malcolm G / Wilson, James F / Gasparini, Paolo / Gyllensten, Ulf / Spector, Tim D / Wright, Alan F / Hayward, Caroline / Watkins, Hugh / Perola, Markus / Bochud, Murielle / Kao, W H Linda / Caulfield, Mark / Toniolo, Daniela / Völzke, Henry / Gieger, Christian / Köttgen, Anna / Vitart, Veronique. ·Medical Research Council (MRC) Human Genetics Unit, MRC Institute of Genetics and Molecular Medicine (IGMM), University of Edinburgh, Edinburgh, United Kingdom. · Institute of Genetic Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany. · Interfaculty Institute for Genetics and Functional Genomics, Ernst-Moritz-Arndt-University Greifswald, Greifswald, Germany. · King's College London, St. Thomas' Hospital Campus, London, United Kingdom. · Department of Medical Genetics, University of Lausanne, Lausanne, Switzerland; Swiss Institute of Bioinformatics, Lausanne, Switzerland. · William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, United Kingdom. · Institute for Maternal and Child Health-Istituto Di Ricovero e Cura a Carattere Scientifico (IRCCS) "Burlo Garofolo", Trieste, Italy; University of Trieste, Trieste, Italy. · Division of Genetics and Cell Biology, San Raffaele Scientific Institute, Milano, Italy. · Department of Psychology, The University of Edinburgh, Edinburgh, United Kingdom; Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh, United Kingdom. · Estonian Genome Center, University of Tartu, Tartu, Estonia. · Department of Chronic Disease Prevention, National Institute for Health and Welfare (THL), Helsinki, Finland. · Department of Cardiovascular Medicine, Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, United Kingdom. · Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America. · Clinical Research Branch, National Institute on Aging, Baltimore, MD, United States of America. · Member of Netherlands Consortium for Healthy Aging (NCHA) sponsored by Netherlands Genomics Initiative (NGI), Leiden, The Netherlands; Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands. · Institute of Genetics and Biophysics "A. Buzzati-Traverso"-Consiglio Nazionale delle Ricerche (CNR), Naples, Italy. · Biology and Genetics section, Department of Life and Reproduction Sciences, University of Verona, Verona, Italy. · Icelandic Heart Association Research Institute, Kopavogur, Iceland; University of Iceland, Reykjavik, Iceland. · Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands. · Institute of Population Genetics, National Research Council of Italy, Sassari, Italy. · Department of Biochemistry, University of Otago, Dunedin, New Zealand. · Uppsala Clinical Research Center, Uppsala University Hospital, Upsalla, Sweden; Department of Immunology, Genetics and Pathology, Rudbeck Laboratory, Uppsala University, Uppsala, 751 85, Sweden. · Center for Biomedicine, European Academy Bozen/Bolzano (EURAC), Bolzano, Italy; Affiliated Institute of the University of Lübeck, Lübeck, Germany. · Faculty of Medicine, University of Split, Croatia, Soltanska 2, Split, 21000, Croatia. · Estonian Genome Center, University of Tartu, Tartu, Estonia; Broad Institute, Cambridge, MA, United States of America; Children's Hospital Boston, Boston, MA, United States of America. · Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh, United Kingdom; Medical Genetics Section, University of Edinburgh Centre for Genomics and Experimental Medicine and MRC Institute of Genetics and Molecular Medicine, Edinburgh, United Kingdom. · Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, Scotland, United Kingdom. · Medical Research Council (MRC) Human Genetics Unit, MRC Institute of Genetics and Molecular Medicine (IGMM), University of Edinburgh, Edinburgh, United Kingdom; Roslin Institute, The University of Edinburgh, Edinburgh, United Kingdom. · Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Ernst-Moritz-Arndt University Greifswald, Greifswald, Germany. · Icelandic Heart Association Research Institute, Kopavogur, Iceland. · Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America; Welch Center for Prevention, Epidemiology and Clinical Research, John Hopkins University, Baltimore, MD, United States of America. · Institute for Maternal and Child Health-Istituto Di Ricovero e Cura a Carattere Scientifico (IRCCS) "Burlo Garofolo", Trieste, Italy. · Department of Medicine, Internal Medicine, Lausanne University Hospital, Lausanne, Switzerland. · Tallinn University of Technology, Department of Biomedical Engineering, Chair of Medical Physics, Tallinn, Estonia; Centre of Cardiology, North Estonia Medical Centre, Tallinn, Estonia. · Institute of Epidemiology II, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany; Institute of Epidemiology I, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany. · Institute of Epidemiology II, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany; Research Unit of Molecular Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany. · Institute of Genetic Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany; Institute of Medical Informatics, Biometry and Epidemiology, Chair of Genetic Epidemiology, Ludwig-Maximilians-University, Munich, Germany. · Institute of Epidemiology I, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany; Institute of Medical Informatics, Biometry and Epidemiology, Chair of Genetic Epidemiology, Ludwig-Maximilians-University, Munich, Germany; Klinikum Grosshadern, Munich, Germany. · Bone and Joint Research Group, Department of Medicine, University of Auckland, Auckland, New Zealand. · Department of Medicine, University of Otago, Christchurch, New Zealand. · Department of Psychiatry/EMGO Institute, VU University Medical Centre, Amsterdam, the Netherlands. · Laboratory of Genetics, National Institute on Aging (NIA), Baltimore, MD, United States of America. · Department of Chronic Disease Prevention, National Institute for Health and Welfare (THL), Turku, Finland. · University Hospital Regensburg, Regensburg, Germany. · Department of Medicine, Nephrology Division, Lausanne University Hospital, Lausanne, Switzerland. · Institute of Medical Informatics, Biometry and Epidemiology, Chair of Genetic Epidemiology, Ludwig-Maximilians-University, Munich, Germany. · Max Planck Institute of Psychiatry, Munich, Germany. · Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany. · Department of Chronic Disease Prevention, National Institute for Health and Welfare (THL), Turku, Finland; Human Genetics, Wellcome Trust Sanger Institute, Hinxton, United Kingdom; University of Helsinki, Institute of Molecular Medicine, Helsinki, Finland. · Department of Mathematics and Informatics, Università di Cagliari, Cagliari, Italy; Department of Statistics, Universidad Carlos III de Madrid, Madrid, Spain. · Human Genetics, Wellcome Trust Sanger Institute, Hinxton, United Kingdom. · Faculty of Medicine, University of Split, Croatia, Soltanska 2, Split, 21000, Croatia; Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, Scotland, United Kingdom. · Queen Mary, University of London, London, United Kingdom. · Department of Psychiatry, Leiden University Medical Center, Leiden, The Netherlands; Department of Epidemiology, Subdivision Genetic Epidemiology, Erasmus MC, Rotterdam, The Netherlands; Department of Internal Medicine, Erasmus MC, Rotterdam, The Netherlands. · Department of Epidemiology, Subdivision Genetic Epidemiology, Erasmus MC, Rotterdam, The Netherlands. · Institute of Internal Medicine, Renal Program, Columbus-Gemelli University Hospital, Catholic University, Rome, Italy. · Department of Immunology, Genetics and Pathology, Rudbeck Laboratory, Uppsala University, Uppsala, 751 85, Sweden. · on behalf of PROCARDIS; Department of Cardiovascular Medicine, Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, United Kingdom. · Estonian Genome Center, University of Tartu, Tartu, Estonia; Department of Chronic Disease Prevention, National Institute for Health and Welfare (THL), Helsinki, Finland; University of Helsinki, Institute of Molecular Medicine, Helsinki, Finland. · University Institute of Social and Preventive Medicine, Lausanne, Switzerland. · Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America; Renal Division, Freiburg University Hospital, Freiburg, Germany. ·PLoS One · Pubmed #25811787.

ABSTRACT: We tested for interactions between body mass index (BMI) and common genetic variants affecting serum urate levels, genome-wide, in up to 42569 participants. Both stratified genome-wide association (GWAS) analyses, in lean, overweight and obese individuals, and regression-type analyses in a non BMI-stratified overall sample were performed. The former did not uncover any novel locus with a major main effect, but supported modulation of effects for some known and potentially new urate loci. The latter highlighted a SNP at RBFOX3 reaching genome-wide significant level (effect size 0.014, 95% CI 0.008-0.02, Pinter= 2.6 x 10-8). Two top loci in interaction term analyses, RBFOX3 and ERO1LB-EDARADD, also displayed suggestive differences in main effect size between the lean and obese strata. All top ranking loci for urate effect differences between BMI categories were novel and most had small magnitude but opposite direction effects between strata. They include the locus RBMS1-TANK (men, Pdifflean-overweight= 4.7 x 10-8), a region that has been associated with several obesity related traits, and TSPYL5 (men, Pdifflean-overweight= 9.1 x 10-8), regulating adipocytes-produced estradiol. The top-ranking known urate loci was ABCG2, the strongest known gout risk locus, with an effect halved in obese compared to lean men (Pdifflean-obese= 2 x 10-4). Finally, pathway analysis suggested a role for N-glycan biosynthesis as a prominent urate-associated pathway in the lean stratum. These results illustrate a potentially powerful way to monitor changes occurring in obesogenic environment.

2 Article Can genetics aggravate the health of isolated and remote populations? The case of gout, hyperuricaemia and osteoarthritis in Dalmatia. 2013

Miljković, Ana / Pehlić, Marina / Budimir, Danijela / Gunjača, Grgo / Mudnić, Ivana / Pavić, Arsen / Jerončić, Iris / Kolčić, Ivana / Boban, Mladen / Hayward, Caroline / Polašek, Ozren. ·Medical School, University of Split, Split, Croatia. ana.miljkovic@mefst.hr ·Rural Remote Health · Pubmed #23534916.

ABSTRACT: INTRODUCTION: The aim of this study was to investigate whether genetics may be considered an additional risk factor for health in isolated and remote populations, compared with their populations of origin. In this study, two remote island population samples from Croatia (from the islands of Vis and the Korcula) were compared with mainland controls from the coastal city of Split. The analyses focused on gout, hyperuricaemia and osteoarthritis, as examples of complex, multifactorial diseases. METHODS: A total of 3006 examinees from all three sites in Dalmatia, Croatia were included in the descriptive part of the study, within a large-scale project of 10,001 Dalmatians. Additionally, a subset of 2428 subjects was genotyped and information on three genomic loci was used in this study. All three loci belong to SLC2A9 gene, considered to have a major role in the regulation of serum uric acid concentration (rs6449213, rs1014290 and rs737267). RESULTS: There was a much a higher prevalence of gout in the isolated populations compared with the mainland sample (3.3% in Vis, 2.2% in Korcula and 1.7% in Split, after age standardization). Furthermore, standardized prevalence of hyperuricaemia (defined as serum uric acid ≥403 mmol/L) was 9.9% in Vis, 5.6% in Korcula and 6.1% in Split. Analysis of the allele frequencies for the three loci of SLC2A9 suggested that in all three instances the prevalence of deleterious genotypes was highest in Vis, followed by Korcula, which had higher or comparable prevalence to the city of Split. Multivariate analysis, adjusted for the main confounder effects indicated that those on the island of Vis, which has the higher degree of isolation, had significantly higher odds ratio for both hyperuricaemia (odds ratio 1.90 95% confidence intervals [1.36-2.64]) and osteoarthritis, but not gout (3.37 [2.14-5.32]). The difference between Split and Korcula included only greater odds for osteoarthritis (1.92 [1.20-3.06]). CONCLUSIONS: Isolated and remote populations that maintain a sufficient level of genetic isolation may suffer not only from consequences of geographic and social isolation, but their population genetic structure may also further contribute to poorer health status and outcomes.

3 Article Chronic, long-lasting, and untreated gout with concomitant dilated cardiomyopathy and exceptionally vast anasarca: case report. 2011

Sulentić, Petra / Becejac, Branko / Vinter, Ozren / Vrkljan, Milan. ·Division of Clinical Neuroendocrinology and Pituitary Diseases, Department of Endocrinology, Diabetes, and Metabolic Diseases, Sestre milosrdnice University Hospital Center, Zagreb, Croatia. petra.sulentic@gmail.com ·Acta Clin Croat · Pubmed #22384781.

ABSTRACT: Gout is the most common type of inflammatory arthritis in man caused by deposition of urate crystals into the joints as the result of elevated serum urate levels. A case of a 59-year-old patient with untreated, long-lasting gout and clinical manifestation of decompensated global dilated cardiomyopathy is presented. Examination revealed generalized pitting edema extending from both lower extremities to the sacrum, abdominal, and thoracic wall, with scrotal swelling and upper extremity involvement, an exceptionally vast generalized edema, i.e. anasarca. Proximal and distal interphalangeal joints of the hands and feet were swollen and deformed, with marked yellow tophi nodules. Laboratory studies revealed high serum uric acid concentration (546 micromol/L), decreased creatinine clearance (0.8 mL/s) and albumin concentration (27.4 g/L), as well as increased total urine protein mass (0.35 g/24 h). X-rays of the affected feet and fists showed punched-out lesions of the subchondral bone with overhanging bony margins in the first metatarsophalangeal, proximal, and distal interphalangeal joints of both hands. The extreme clinical presentation resolved upon intravenous administration of diuretics and pleurocentesis, followed by oral medications including furosemide, angiotensin-converting enzyme inhibitor, spironolactone and digoxin. Since serum urate level has been identified as an independent risk factor for the development of ischemic heart and chronic kidney disease, regulation of urate concentration is necessary, especially in patients diagnosed with gout.

4 Article The importance of urgent cytological examination of synovial fluids in differentiation inflammatory and non-inflammatory joint diseases. 2010

Ostović, Karmen Trutin / Kaić, Gordana / Ostović, Ines / Skoro, Marija / Novak, Nina-Petra / Morović-Vergles, Jadranka. ·Department of Clinical Cytology and Cytometry, University Hospital Dubrava, Zagreb, Croatia. ktrutin@kbd.hr ·Coll Antropol · Pubmed #20432743.

ABSTRACT: The aim of this study was to imply the possibilities of the urgent cytological examination of synovial fluids in differential diagnosis of arthropathies and to motivate the clinicians to use this method. It gave valuable information particularly with respect to differentiate the inflammatory and non-inflammatory joint diseases. This study included 115 synovial fluids obtained by fine needle aspiration (FNA) of the swollen knee from the patients in the period between 2003 and 2008. At our department the urgent cytological examination of the synovial fluids consisted of macroscopic analysis that includes volume, colour, clarity, viscosity and mucin clot test, native microscopic analysis for crystals and tissue fragments, counting the total nucleated cell count and semiquantitative microscopic analysis for neutrophil granulocyte percentage on the slides stained with Hemacolor rapid staining. All cytological analyses were done within one hour since FNA. According to our results the clarity, viscosity, mucin clot test, the total nucleated cell count and the neutrophil granulocyte percentage enabled distinction between inflammatory and non-inflammatory diseases with statistically significant difference at the 0.01 level but we could not differentiate these two groups of illnesses according to volume and colour. In inflammation the total nucleated cell count and the neutrophil granulocyte percentage was greater than in non-inflammation, the clarity was only translucent and opaque, the viscosity was low and the mucin clot test was negative. In non-inflammatory diseases the clarity varied from transparent to opaque, the total nucleated cell count and the neutrophil granulocyte percentage was smaller than in inflammatory diseases, the viscosity was high and consequently the mucin test was highly positive in all samples. Crystals were detected in only 12 samples of synovial fluids, mostly in inflammation and they were all monosodium urate (MUS) so we could diagnose gout. We could conclude that the urgent cytological analysis of the synovial fluid is a very useful, simple and reliable basic diagnostic screening test in differentiation inflammatory and non-inflammatory joint diseases and we recommended using it as the initial test in the diagnostic procedure of these illnesses using our protocol.