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Authors = Daniel K. W. Chu

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26 pages, 4156 KiB  
Article
A Scaled Proteomic Discovery Study for Prostate Cancer Diagnostic Markers Using ProteographTM and Trapped Ion Mobility Mass Spectrometry
by Matthew E. K. Chang, Jane Lange, Jessie May Cartier, Travis W. Moore, Sophia M. Soriano, Brenna Albracht, Michael Krawitzky, Harendra Guturu, Amir Alavi, Alexey Stukalov, Xiaoyuan Zhou, Eltaher M. Elgierari, Jessica Chu, Ryan Benz, Juan C. Cuevas, Shadi Ferdosi, Daniel Hornburg, Omid Farokhzad, Asim Siddiqui, Serafim Batzoglou, Robin J. Leach, Michael A. Liss, Ryan P. Kopp and Mark R. Floryadd Show full author list remove Hide full author list
Int. J. Mol. Sci. 2024, 25(15), 8010; https://doi.org/10.3390/ijms25158010 - 23 Jul 2024
Cited by 1 | Viewed by 3047
Abstract
There is a significant unmet need for clinical reflex tests that increase the specificity of prostate-specific antigen blood testing, the longstanding but imperfect tool for prostate cancer diagnosis. Towards this endpoint, we present the results from a discovery study that identifies new prostate-specific [...] Read more.
There is a significant unmet need for clinical reflex tests that increase the specificity of prostate-specific antigen blood testing, the longstanding but imperfect tool for prostate cancer diagnosis. Towards this endpoint, we present the results from a discovery study that identifies new prostate-specific antigen reflex markers in a large-scale patient serum cohort using differentiating technologies for deep proteomic interrogation. We detect known prostate cancer blood markers as well as novel candidates. Through bioinformatic pathway enrichment and network analysis, we reveal associations of differentially abundant proteins with cytoskeletal, metabolic, and ribosomal activities, all of which have been previously associated with prostate cancer progression. Additionally, optimized machine learning classifier analysis reveals proteomic signatures capable of detecting the disease prior to biopsy, performing on par with an accepted clinical risk calculator benchmark. Full article
(This article belongs to the Special Issue Advances in Prostate Cancer Diagnostics and Therapy)
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16 pages, 1255 KiB  
Article
Middle East Respiratory Syndrome Coronavirus (MERS-CoV) in Dromedary Camels in Africa and Middle East
by Ahmed Kandeil, Mokhtar Gomaa, Ahmed Nageh, Mahmoud M. Shehata, Ahmed E. Kayed, Jamal S. M. Sabir, Awatef Abiadh, Jamel Jrijer, Zuhair Amr, Mounir Abi Said, Denis K. Byarugaba, Fred Wabwire-Mangen, Titus Tugume, Nadira S. Mohamed, Roba Attar, Sabah M. Hassan, Sabah Abdulaziz Linjawi, Yassmin Moatassim, Omnia Kutkat, Sara Mahmoud, Ola Bagato, Noura M. Abo Shama, Rabeh El-Shesheny, Ahmed Mostafa, Ranawaka A. P. M. Perera, Daniel K. W. Chu, Nagla Hassan, Basma Elsokary, Ahmed Saad, Heba Sobhy, Ihab El Masry, Pamela P. McKenzie, Richard J. Webby, Malik Peiris, Yilma J. Makonnen, Mohamed A. Ali and Ghazi Kayaliadd Show full author list remove Hide full author list
Viruses 2019, 11(8), 717; https://doi.org/10.3390/v11080717 - 5 Aug 2019
Cited by 38 | Viewed by 8417
Abstract
Dromedary camels are the natural reservoirs of the Middle East respiratory syndrome coronavirus (MERS-CoV). Camels are mostly bred in East African countries then exported into Africa and Middle East for consumption. To understand the distribution of MERS-CoV among camels in North Africa and [...] Read more.
Dromedary camels are the natural reservoirs of the Middle East respiratory syndrome coronavirus (MERS-CoV). Camels are mostly bred in East African countries then exported into Africa and Middle East for consumption. To understand the distribution of MERS-CoV among camels in North Africa and the Middle East, we conducted surveillance in Egypt, Senegal, Tunisia, Uganda, Jordan, Saudi Arabia, and Iraq. We also performed longitudinal studies of three camel herds in Egypt and Jordan to elucidate MERS-CoV infection and transmission. Between 2016 and 2018, a total of 4027 nasal swabs and 3267 serum samples were collected from all countries. Real- time PCR revealed that MERS-CoV RNA was detected in nasal swab samples from Egypt, Senegal, Tunisia, and Saudi Arabia. Microneutralization assay showed that antibodies were detected in all countries. Positive PCR samples were partially sequenced, and a phylogenetic tree was built. The tree suggested that all sequences are of clade C and sequences from camels in Egypt formed a separate group from previously published sequences. Longitudinal studies showed high seroprevalence in adult camels. These results indicate the widespread distribution of the virus in camels. A systematic active surveillance and longitudinal studies for MERS-CoV are needed to understand the epidemiology of the disease and dynamics of viral infection. Full article
(This article belongs to the Special Issue Emerging Viruses: Surveillance, Prevention, Evolution and Control)
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