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SEROPREVALENCE OF HSV-2 IN HUNGARY AND COMPARISON OF THE HSV-2 PREVALENCE OF PREGNANT AND INFERTILE WOMEN

ACTA MICROBIOLOGICA ET IMMUNOLOGICA HUNGARICA (2008)

期刊

ACTA MICROBIOLOGICA ET IMMUNOLOGICA HUNGARICA

卷 55, 期 4, 页码 429-436

出版社

AKADEMIAI KIADO ZRT

DOI: 10.1556/AMicr.55.2008.4.7

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Herpesvirus type 2; seroprevalence; pregnant; infertile women

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Immunology Microbiology

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摘要

Herpes simplex virus type 2 infection is a quite common but frequently asymptomatic, therefore undiagnosed condition. Genital HSV-2 infection may cause neonatal herpes, enhances HIV transmission and may play a role in infertility. To evaluate the prevalence of HSV-2 in Hungary we tested 2500 serum samples for the presence of anti-HSV-2 IgG by ELISA method. According to our results Hungary belongs to the low-infected countries, the HSV-2 seroprevalence grows with age and is significantly higher among women than in men. We also examined the serostatus of 512 pregnant women and 539 women attending infertility clinics. Results show that the HSV-2 prevalence is significantly higher among women attending infertility clinics and the seropositivity of pregnant women is similar to that of the general Hungarian women population with the same age.

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Genetic analyses of the electrocardiographic QT interval and its components identify additional loci and pathways

William J. Young, Najim Lahrouchi, Aaron Isaacs, Thuy Vy Duong, Luisa Foco, Farah Ahmed, Jennifer A. Brody, Reem Salman, Raymond Noordam, Jan-Walter Benjamins, Jeffrey Haessler, Leo-Pekka Lyytikainen, Linda Repetto, Maria Pina Concas, Marten E. van den Berg, Stefan Weiss, Antoine R. Baldassari, Traci M. Bartz, James P. Cook, Daniel S. Evans, Rebecca Freudling, Oliver Hines, Jonas L. Isaksen, Honghuang Lin, Hao Mei, Arden Moscati, Martina Mueller-Nurasyid, Casia Nursyifa, Yong Qian, Anne Richmond, Carolina Roselli, Kathleen A. Ryan, Eduardo Tarazona-Santos, Sebastien Theriault, Stefan van Duijvenboden, Helen R. Warren, Jie Yao, Dania Raza, Stefanie Aeschbacher, Gustav Ahlberg, Alvaro Alonso, Laura Andreasen, Joshua C. Bis, Eric Boerwinkle, Archie Campbell, Eulalia Catamo, Massimiliano Cocca, Michael J. Cutler, Dawood Darbar, Alessandro De Grandi, Antonio De Luca, Jun Ding, Christina Ellervik, Patrick T. Ellinor, Stephan B. Felix, Philippe Froguel, Christian Fuchsberger, Martin Gogele, Claus Graff, Mariaelisa Graff, Xiuqing Guo, Torben Hansen, Susan R. Heckbert, Paul L. Huang, Heikki Huikuri, Nina Hutri-Kahonen, M. Arfan Ikram, Rebecca D. Jackson, Juhani Junttila, Maryam Kavousi, Jan A. Kors, Thiago P. Leal, Rozenn N. Lemaitre, Henry J. Lin, Lars Lind, Allan Linneberg, Simin Liu, Peter W. MacFarlane, Massimo Mangino, Thomas Meitinger, Massimo Mezzavilla, Pashupati P. Mishra, Rebecca N. Mitchell, Nina Mononen, May E. Montasser, Alanna C. Morrison, Matthias Nauck, Victor Nauffal, Pau Navarro, Kjell Nikus, Guillaume Pare, Kristen K. Patton, Giulia Pelliccione, Alan Pittman, David J. Porteous, Peter P. Pramstaller, Michael H. Preuss, Olli T. Raitakari, Alexander P. Reiner, Antonio Luiz P. Ribeiro, Kenneth M. Rice, Lorenz Risch, David Schlessinger, Ulrich Schotten, Claudia Schurmann, Xia Shen, M. Benjamin Shoemaker, Gianfranco Sinagra, Moritz F. Sinner, Elsayed Z. Soliman, Monika Stoll, Konstantin Strauch, Kirill Tarasov, Kent D. Taylor, Andrew Tinker, Stella Trompet, Andre Uitterlinden, Uwe Voelker, Henry Voelzke, Melanie Waldenberger, Lu-Chen Weng, Eric A. Whitsel, James G. Wilson, Christy L. Avery, David Conen, Adolfo Correa, Francesco Cucca, Marcus Dorr, Sina A. Gharib, Giorgia Girotto, Niels Grarup, Caroline Hayward, Yalda Jamshidi, Marjo-Riitta Jarvelin, J. Wouter Jukema, Stefan Kaab, Mika Kahonen, Jorgen K. Kanters, Charles Kooperberg, Terho Lehtimaki, Maria Fernanda Lima-Costa, Yongmei Liu, Ruth J. F. Loos, Steven A. Lubitz, Dennis O. Mook-Kanamori, Andrew P. Morris, Jeffrey R. O'Connell, Morten Salling Olesen, Michele Orini, Sandosh Padmanabhan, Cristian Pattaro, Annette Peters, Bruce M. Psaty, Jerome Rotter, Bruno Stricker, Pim van der Harst, Cornelia M. van Duijn, Niek Verweij, James F. Wilson, Dan E. Arking, Julia Ramirez, Pier D. Lambiase, Nona Sotoodehnia, Borbala Mifsud, Christopher Newton-Cheh, Patricia B. Munroe

Summary: This study identified genetic loci, pathways, therapeutic targets, and relationships with cardiovascular disease associated with the heritable electrocardiographic measure, the QT interval. The findings advance our understanding of ventricular depolarization and repolarization and highlight potential therapeutic targets for arrhythmia.

NATURE COMMUNICATIONS (2022)

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Article Biochemistry & Molecular Biology

Flavin Adenine Dinucleotide (FAD) and Pyridoxal 5′-Phosphate (PLP) Bind to Sox9 and Alter the Expression of Key Pancreatic Progenitor Transcription Factors

Zeyaul Islam, Noura Aldous, Sunkyu Choi, Frank Schmidt, Borbala Mifsud, Essam M. Abdelalim, Prasanna R. Kolatkar

Summary: This study demonstrates that the cofactors FAD and PLP interact with Sox9 to induce an increase in pancreatic development markers, revealing the mechanism underlying their involvement in pancreas development.

INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES (2022)

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Article Biochemistry & Molecular Biology

Structure-Based Virtual Screening and Functional Validation of Potential Hit Molecules Targeting the SARS-CoV-2 Main Protease

Balasubramanian Moovarkumudalvan, Anupriya Madhukumar Geethakumari, Ramya Ramadoss, Kabir H. H. Biswas, Borbala Mifsud

Summary: The COVID-19 pandemic caused by the coronavirus disease 2019 (COVID-19) has had a significant impact on lives and economies worldwide. Vaccines have been developed, but their effectiveness has been variable due to challenges in production, logistics, distribution, and vaccine hesitancy. Additionally, existing vaccines are less effective against new variants of the SARS-CoV-2 virus and immunity from vaccination diminishes over time. This highlights the need for improved treatment options, such as inhibiting the SARS-CoV-2 main protease (M-pro). Drug repurposing using virtual screening has identified potential inhibitors from natural products and FDA-approved drugs. Experimental validation has shown promising results, suggesting that existing drugs and natural products could be explored for the treatment of COVID-19.

BIOMOLECULES (2022)

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Article Cell Biology

BRCA1??????? -specific machine learning model predicts variant pathogenicity with high accuracy

Mohannad Khandakji, Hind Hassan Ahmed Habish, Nawal Bakheet Salem Abdulla, Sitti Apsa Albani Kusasi, Nema Mahmoud Ghobashy Abdou, Hajer Mahmoud M. A. Al-Mulla, Reem Jawad A. A. Al Sulaiman, Salha M. Bu Jassoum, Borbala Mifsud

Summary: Identification of novel BRCA1 variants outpaces their clinical annotation, emphasizing the need for accurate computational methods for risk assessment. In this study, a BRCA1-specific machine learning model was developed to predict the pathogenicity of BRCA variants, and its performance was evaluated on different sets of variants. The model showed high accuracy in predicting pathogenicity and functional consequence, and identified potentially pathogenic variants in unreviewed BRCA1 variants.

PHYSIOLOGICAL GENOMICS (2023)

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Article Multidisciplinary Sciences

Multi-omics and machine learning reveal context-specific gene regulatory activities of PML::RARA in acute promyelocytic leukemia

William Villiers, Audrey Kelly, Xiaohan He, James Kaufman-Cook, Abdurrahman Elbasir, Halima Bensmail, Paul Lavender, Richard Dillon, Borbala Mifsud, Cameron S. Osborne

Summary: The PML-RARA gene fusion is the characteristic driver of Acute Promyelocytic Leukaemia (APL) and is known to bind to the genome. Here, the authors characterise the impact of PML-RARA on gene regulation in APL cell lines and patient samples using transcriptomics, epigenomics, and machine learning.

NATURE COMMUNICATIONS (2023)

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