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2. SARS-CoV-2 vaccination, booster, and infection in pregnant population enhances passive immunity in neonates

Author

Murphy, Elisabeth A., Guzman-Cardozo, Camila, Sukhu, Ashley C., Parks, Debby J., Prabhu, Malavika, Mohammed, Iman, Jurkiewicz, Magdalena, Ketas, Thomas J., Singh, Sunidhi, Canis, Marie, Bednarski, Eva, Hollingsworth, Alexis, Thompson, Embree M., Eng, Dorothy, Bieniasz, Paul D., Riley, Laura E., Hatziioannou, Theodora, and Yang, Yawei J.

Published
2023
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4. Developing a Diagnostic Multivariable Prediction Model for Urinary Tract Cancer in Patients Referred with Haematuria: Results from the IDENTIFY Collaborative Study

Author

Chaudry, Aasem, Sharma, Abhishek, Bennett, Adam, Ahmad, Adnan, Abroaf, Ahmed, Suliman, Ahmed Musa, Lloyd, Aimee, McKay, Alastair, Wong, Albert, Silva, Alberto, Schneider, Alexandre, MacKay, Alison, Knight, Allen, Grigorakis, Alkiviadis, Bdesha, Amar, Nagle, Amy, Cebola, Ana, Dhanasekaran, Ananda Kumar, Kondža, Andraž, Barcelos, André, Galosi, Andrea Benedetto, Ebur, Andrea, Minervini, Andrea, Russell, Andrew, Webb, Andrew, de Jalón, Ángel García, Desai, Ankit, Czech, Anna Katarzyna, Mainwaring, Anna, Adimonye, Anthony, Das, Arighno, Figueiredo, Arnaldo, Villers, Arnauld, Leminski, Artur, Chippagiri, Arvinda, Lal, Asim Ahmed, Yıldırım, Asıf, Voulgaris, Athanasios Marios, Uzan, Audrey, Oo, Aye Moh Moh, Younis, Ayman, Zelhof, Bachar, Mukhtar, Bashir, Ayres, Ben, Challacombe, Ben, Sherwood, Benedict, Ristau, Benjamin, Lai, Billy, Nellensteijn, Brechtje, Schreiter, Brielle, Trombetta, Carlo, Dowling, Catherine, Hobbs, Catherine, Benitez, Cayo Augusto Estigarribia, Lebacle, Cédric, Ho, Cherrie Wing Yin, Ng, Chi-Fai, Mount, Chloe, Lam, Chon Meng, Blick, Chris, Brown, Christian, Gallegos, Christopher, Higgs, Claire, Browne, Clíodhna, McCann, Conor, Plaza Alonso, Cristina, Beder, Daniel, Cohen, Daniel, Gordon, Daniel, Wilby, Daniel, Gordon, Danny, Hrouda, David, Lau, David Hua Wu, Karsza, Dávid, Mak, David, Martin-Way, David, Suthaharan, Denula, Patel, Dhruv, Carrion, Diego M, Nyanhongo, Donald, Bass, Edward, Mains, Edward, Chau, Edwin, Canelon Castillo, Elba, Day, Elizabeth, Desouky, Elsayed, Gaines, Emily, Papworth, Emma, Yuruk, Emrah, Kilic, Enes, Dinneen, Eoin, Palagonia, Erika, Xylinas, Evanguelos, Khawaja, Faizan, Cimarra, Fernando, Bardet, Florian, Kum, Francesca, Peters, Francesca, Kovács, Gábor, Tanasescu, Geroge, Hellawell, Giles, Tasso, Giovanni, Lam, Gitte, La Montagna, Giuseppe, Pizzuto, Giuseppe, Lenart, Gordan, MacLennan, Graeme, Özgür, Günal, Bi, Hai, Lyons, Hannah, Warren, Hannah, Ahmed, Hashim, Simpson, Helen, Burden, Helena, Gresty, Helena, Rios Pita, Hernado, Clarke, Holly, Serag, Hosam, Kynaston, Howard, Crawford-Smith, Hugh, Mostafid, Hugh, Otaola-Arca, Hugo, Koo, Hui Fen, Ibrahim, Ibrahim, Ouzaid, Idir, Puche-Sanz, Ignacio, Tomašković, Igor, Tinay, Ilker, Sahibzada, Iqbal, Thangasamy, Isaac, Cadena, Iván Revelo, Irani, Jacques, Udzik, Jakub, Brittain, James, Catto, James, Green, James, Tweedle, James, Hernando, Jamie Borrego, Leask, Jamie, Kalsi, Jas, Frankel, Jason, Toniolo, Jason, Raman, Jay D., Courcier, Jean, Kumaradeevan, Jeevan, Clark, Jennifer, Jones, Jennifer, Teoh, Jeremy Yuen-Chun, Iacovou, John, Kelly, John, Selph, John P., Aning, Jonathan, Deeks, Jon, Cobley, Jonathan, Olivier, Jonathan, Maw, Jonny, Herranz-Yagüe, José Antonio, Nolazco, Jose Ignacio, Cózar-Olmo, Jose Manuel, Bagley, Joseph, Jelski, Joseph, Norris, Joseph, Testa, Joseph, Meeks, Joshua, Hernandez, Juan, Vásquez, Juan Luis, Randhawa, Karen, Dhera, Karishma, Gronostaj, Katarzyna, Houlton, Kathleen, Lehman, Kathleen, Gillams, Kathryn, Adasonla, Kelvin, Brown, Kevin, Murtagh, Kevin, Mistry, Kiki, Davenport, Kim, Kitamura, Kosuke, Derbyshire, Laura, Clarke, Laurence, Morton, Lawrie, Martinez, Levin, Goldsmith, Louise, Paramore, Louise, Cormier, Luc, Dell'Atti, Lucio, Simmons, Lucy, Martinez-Piñeiro, Luis, Rico, Luis, Chan, Luke, Forster, Luke, Ma, Lulin, Moore, Madeline, Gallego, Maria Camacho, Freire, Maria José, Emberton, Mark, Feneley, Mark, Antón-Juanilla, Marta, Rivero, Marta Viridiana Muñoz, Pirša, Matea, Tallè, Matteo, Crockett, Matthew, Liew, Matthew, Trail, Matthew, Peters, Max, Cooper, Meghan, Kulkarni, Meghana, Ager, Michael, He, Ming, Li, Mo, Omran Breish, Mohamed, Tarin, Mohamed, Aldiwani, Mohammed, Matanhelia, Mudit, Pasha, Muhammad, Akalın, Mustafa Kaan, Abdullah, Nasreen, Hale, Nathan, Gadiyar, Neha, Kocher, Neil, Bullock, Nicholas, Campain, Nicholas, Pavan, Nicola, Al-Ibraheem, Nihad, Bhatt, Nikita, Bedi, Nishant, Shrotri, Nitin, Lobo, Niyati, Balderas, Olga, Kouli, Omar, Capoun, Otakar, Oteo Manjavacas, Pablo, Gontero, Paolo, Mariappan, Paramananthan, Marchiñena, Patricio Garcia, Erotocritou, Paul, Sweeney, Paul, Planelles, Paula, Acher, Peter, Black, Peter C., Osei-Bonsu, Peter K, Østergren, Peter, Smith, Peter, Willemse, Peter-Paul Michiel, Chlosta, Piotr L., Ul Ain, Qurrat, Barratt, Rachel, Esler, Rachel, Khalid, Raihan, Hsu, Ray, Stamirowski, Remigiusz, Mangat, Reshma, Cruz, Ricardo, Ellis, Ricky, Adams, Robert, Hessell, Robert, Oomen, Robert J.A., McConkey, Robert, Ritchie, Robert, Jarimba, Roberto, Chahal, Rohit, Andres, Rosado Mario, Hawkins, Rosalyn, David, Rotimi, Manecksha, Rustom P., Agrawal, Sachin, Hamid, Syed Sami, Deem, Samuel, Goonewardene, Sanchia, Swami, Satchi Kuchibhotla, Hori, Satoshi, Khan, Shahid, Mohammud Inder, Shakeel, Sangaralingam, Shanthi, Marathe, Shekhar, Raveenthiran, Sheliyan, Horie, Shigeo, Sengupta, Shomik, Parson, Sian, Parker, Sidney, Hawlina, Simon, Williams, Simon, Mazzoli, Simone, Grzegorz Kata, Slawomir, Pinheiro Lopes, Sofia, Ramos, Sónia, Rai, Sonpreet, Rintoul-Hoad, Sophie, O'Meara, Sorcha, Morris, Steve, Turner, Stacey, Venturini, Stefano, Almpanis, Stephanos, Joniau, Steven, Jain, Sunjay, Mallett, Susan, Nikles, Sven, Shahzad, Yan, Sylvia, Lee, Taeweon, Uçar, Taha, Drake, Tamsin, Toma, Tarq, Cabañuz Plo, Teresa, Bonnin, Thierry, Muilwijk, Tim, Wollin, Tim, Chu, Timothy Shun Man, Appanna, Timson, Brophy, Tom, Ellul, Tom, Austin, Tomas, Smrkolj, Tomaž, Rowe, Tracey, Sukhu, Troy, Patel, Trushar, Garg, Tullika, Çaşkurlu, Turhan, Bele, Uros, Haroon, Usman, Crespo-Atín, Víctor, Parejo Cortes, Victor, Capapé Poves, Victoria, Gnanapragasam, Vincent, Gauhar, Vineet, During, Vinnie, Kumar, Vivek, Fiala, Vojtech, Mahmalji, Wasim, Lam, Wayne, Fung Chin, Yew, Filtekin, Yigit, Chyn Phan, Yih, Ibrahim, Youssed, Glaser, Zachary A, Abiddin, Zainal Adwin, Qin, Zijian, Zotter, Zsuzsanna, Zainuddin, Zulkifli, Khadhouri, Sinan, Gallagher, Kevin M., MacKenzie, Kenneth R., Shah, Taimur T., Gao, Chuanyu, Moore, Sacha, Zimmermann, Eleanor F., Edison, Eric, Jefferies, Matthew, Nambiar, Arjun, Anbarasan, Thineskrishna, Mannas, Miles P., Marra, Giancarlo, Gómez Rivas, Juan, Marcq, Gautier, Assmus, Mark A., Claps, Francesco, Boltri, Matteo, Burnhope, Tara, Nkwam, Nkwam, Boxall, Nicholas E., Downey, Alison P., Sukhu, Troy A., Chin, Yew-Fung, Green, James S.A., Goulao, Beatriz, Nielsen, Matthew, McGrath, John S., and Kasivisvanathan, Veeru

Published
2022
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5. The relationship between dietary inflammatory potential and cancer outcomes among cancer survivors: A systematic review and meta-analysis of cohort studies

Author

Eric Han, Eunkyung Lee, Brian Sukhu, Jeanette Garcia, and Humberto López Castillo

Subjects
Dietary inflammatory index, Cancer recurrence, All-cause mortality, Cancer mortality, Meta-analysis, Cancer survivors, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract

Cancer remains the second leading cause of death globally. Chronic inflammatory environments promote the growth of tumors, and the intake of certain food items can increase systemic inflammation. This study examined the relationship between the inflammatory potential of diet, measured by the Dietary Inflammatory Index (DII), and recurrence, all-cause, and cancer-specific mortality among cancer survivors. Web of Science, Medline, CINHAL, and PsycINFO databases were searched in April 2022. Two independent reviewers screened all searches. Of the 1,443 studies, 13 studies involving 14,920 cancer survivors passed all the screening stages. Three studies reported cancer recurrence, 12 reported all-cause mortality, and six reported cancer-specific mortality. Seven studies calculated DII from pre-diagnosis diets, five from post-diagnosis diets, and one from both pre-and post-diagnosis diets. A random-effects model meta-analysis showed that high DII was not associated with an increased risk of recurrence (HR = 1.09, 95 % CI = 0.77, 1.54, n = 4) and all-cause (HR = 1.08, 95 % CI = 0.99, 1.19, n = 14) and cancer-specific mortality (H = 1.07, 95 % CI = 0.92, 1.25, n = 6). Analysis by the timing of dietary assessment showed that only post-diagnosis DII was associated with an increased risk of all-cause mortality (HR = 1.34, 95 % CI = 1.05, 1.72, n = 6) by 34 %; however, cancer type did not modify these associations. The quality of the study assessed using the Newcastle Ottawa Scale indicated all but one studies were good. The risk of all-cause mortality among cancer survivors could be reduced by consuming more anti-inflammatory diets after cancer diagnosis.

Published
2023
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7. Longitudinal antibody response kinetics following SARS-CoV-2 messenger RNA vaccination in pregnant and nonpregnant persons

Author

Prabhu, Malavika, Yang, Yawei J., Johnston, Carrie D., Murphy, Elisabeth A., Ketas, Thomas J., Diaz-Tapia, Randy, Jurkiewicz, Magdalena, Racine-Brzostek, Sabrina, Mohammed, Iman, Sukhu, Ashley C., Singh, Sunidhi, Forlenza, Kimberly, Iyer, Sonali, Yee, Jim, Eng, Dorothy, Marks, Kristen, Zhao, Zhen, Klasse, Per Johan, Permar, Sallie, Moore, John P., and Riley, Laura E.

Published
2023
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10. Association of Gestational Age at Coronavirus Disease 2019 (COVID-19) Vaccination, History of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Infection, and a Vaccine Booster Dose With Maternal and Umbilical Cord Antibody Levels at Delivery

Author

Yang, Yawei J., Murphy, Elisabeth A., Singh, Sunidhi, Sukhu, Ashley C., Wolfe, Isabel, Adurty, Sanjana, Eng, Dorothy, Yee, Jim, Mohammed, Iman, Zhao, Zhen, Riley, Laura E., and Prabhu, Malavika

Published
2022
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12. Rapid, robust, and sustainable antibody responses to mRNA COVID-19 vaccine in convalescent COVID-19 individuals

Author

Sabrina E. Racine-Brzostek, Jim K. Yee, Ashley Sukhu, Yuqing Qiu, Sophie Rand, Paul D. Barone, Ying Hao, He S. Yang, Qing H. Meng, Fred S. Apple, Yuanyuan Shi, Amy Chadburn, Encouse Golden, Silvia C. Formenti, Melissa M. Cushing, and Zhen Zhao

Subjects
COVID-19, Immunology, Medicine
Abstract

Longitudinal studies are needed to evaluate the SARS-CoV-2 mRNA vaccine antibody response under real-world conditions. This longitudinal study investigated the quantity and quality of SARS-CoV-2 antibody response in 846 specimens from 350 patients, comparing BNT162b2-vaccinated individuals (19 previously diagnosed with COVID-19, termed RecoVax; and 49 never diagnosed, termed NaiveVax) with 122 hospitalized unvaccinated (HospNoVax) and 160 outpatient unvaccinated (OutPtNoVax) COVID-19 patients. NaiveVax experienced delay in generating SARS-CoV-2 total antibodies (TAb) and surrogate neutralizing antibodies (SNAb) after the first vaccine dose (D1) but rapid increase in antibody levels after the second dose (D2). However, these never reached RecoVax’s robust levels. In fact, NaiveVax TAb and SNAb levels decreased 4 weeks after D2. For the most part, RecoVax TAb persisted, after reaching maximal levels 2 weeks after D2, but SNAb decreased significantly about 6 months after D1. Although NaiveVax avidity lagged behind that of RecoVax for most of the follow-up periods, NaiveVax did reach similar avidity by about 6 months after D1. These data suggest that 1 vaccine dose elicits maximal antibody response in RecoVax and may be sufficient. Also, despite decreasing levels in TAb and SNAb over time, long-term avidity may be a measure worth evaluating and possibly correlating to vaccine efficacy.

Published
2021
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13. Performance Evaluation of the MatMaCorp COVID-19 2SF Assay for the Detection of SARS-CoV-2 from Nasopharyngeal Swabs

Author

Arryn Craney, Dustin Petrik, Ashley Sukhu, Yuqing Qiu, Sabrina Racine-Brzostek, Hanna Rennert, Heather Piscatelli, Govardhan Rathnaiah, Alyssa Hangman, Michael Carrie, and Melissa Cushing

Subjects
COVID-19, MatMaCorp, RT-PCR, SARS-CoV-2, Solas 8, point of care, Microbiology, QR1-502
Abstract

ABSTRACT The coronavirus disease 2019 (COVID-19) pandemic has taken an unprecedented toll on clinical diagnostic testing, and the need for PCR-based testing remains to be met. Nucleic acid amplification testing (NAAT) is the recommended method for the diagnosis of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) due to the inherent advantages in sensitivity and specificity. In this study, we evaluated the performance of the MatMaCorp COVID-19 2SF test, a reverse transcription-PCR (RT-PCR) assay for the qualitative detection of SARS-CoV-2 from nasopharyngeal (NP) swabs, run on the Solas 8 instrument (MatMaCorp, Lincoln, NE). The Solas 8 device is portable, and the kit is a lab-in-a-box design which provides reagents in a shelf-stable lyophilized powder format. A total of 78 remnant clinical specimens were used to evaluate the COVID-19 2SF test. Sixty-two clinical specimens originally tested by the Xpert Xpress SARS-CoV-2 assay (Cepheid, Inc., Sunnyvale, CA) were used to evaluate the clinical accuracy of the COVID-19 2SF test. The negative percent agreement (NPA) was 100% (95% confidence interval [CI], 83.9% to 100%), and the positive percent agreement (PPA) was 85.4% (95% CI, 70.8% to 94.4%). Sixteen remnant specimens positive for other common respiratory pathogens (FilmArray respiratory panel 2.0; BioFire, Salt Lake City, UT) were assayed on the Solas 8 device to evaluate specificity. No cross-reactivity with other respiratory pathogens was identified. The unique lab-in-a-box design and shelf-stable reagents of the MatMaCorp COVID-19 2SF test offer laboratories a rapid option for a diagnostic NAAT for SARS-CoV-2 that can help meet diagnostic needs. IMPORTANCE The demand for molecular testing for COVID-19 remains to be met. This study of the MatMaCorp Solas 8 device and COVID-19 test provides the first evaluation of this platform.

Published
2021
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14. Standard of Care Electronic Patient Reported Outcomes Using Promis-29 after Hematopoietic Stem Cell Transplant and Chimeric Antigen Receptor T Cell Therapy.

Author

Korsos, Victoria, primary, Lobaugh, Stephanie M., additional, Sukhu, Ranjit, additional, Devlin, Sean M., additional, Atkinson, Thomas, additional, Kemeny, Elizabeth, additional, Stetson, Peter, additional, Perales, Miguel-Angel, additional, Giralt, Sergio A., additional, Scordo, Michael, additional, and Shah, Gunjan L., additional

Published
2024
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17. Estimating the Effectiveness of Shielding during Pregnancy against SARS-CoV-2 in New York City during the First Year of the COVID-19 Pandemic

Author

Siyu Chen, Elisabeth A. Murphy, Angeline G. Pendergrass, Ashley C. Sukhu, Dorothy Eng, Magdalena Jurkiewicz, Iman Mohammed, Sophie Rand, Lisa J. White, Nathaniel Hupert, and Yawei J. Yang

Subjects
pregnant women, shielding during pregnancy, effectiveness, SARS-CoV-2, New York City, dynamic model, Microbiology, QR1-502
Abstract

Pregnant patients have increased morbidity and mortality in the setting of SARS-CoV-2 infection. The exposure of pregnant patients in New York City to SARS-CoV-2 is not well understood due to early lack of access to testing and the presence of asymptomatic COVID-19 infections. Before the availability of vaccinations, preventative (shielding) measures, including but not limited to wearing a mask and quarantining at home to limit contact, were recommended for pregnant patients. Using universal testing data from 2196 patients who gave birth from April through December 2020 from one institution in New York City, and in comparison, with infection data of the general population in New York City, we estimated the exposure and real-world effectiveness of shielding in pregnant patients. Our Bayesian model shows that patients already pregnant at the onset of the pandemic had a 50% decrease in exposure compared to those who became pregnant after the onset of the pandemic and to the general population.

Published
2022
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19. Workforce Characteristics in Urology

Author

Sukhu, Troy, Pruthi, Nicholas R., Deal, Allison, Langston, Joshua, Kirby, E. Will, Raynor, Matthew, Gonzalez, Christopher, McKenna, Patrick, Smith, Angela B., and Pruthi, Raj S.

Published
2018
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23. Real-Time Digital Contact Tracing: Development of a System to Control COVID-19 Outbreaks in Nursing Homes and Long-Term Care Facilities

Author

Wilmink, Gerald, Summer, Ilyssa, Marsyla, David, Sukhu, Subhashree, Grote, Jeffrey, Zobel, Gregory, Fillit, Howard, and Movva, Satish

Subjects
Public aspects of medicine, RA1-1270
Abstract

BackgroundSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2) can spread rapidly in nursing homes and long-term care (LTC) facilities. Symptoms-based screening and manual contact tracing have limitations that render them ineffective for containing the viral spread in LTC facilities. Symptoms-based screening alone cannot identify asymptomatic people who are infected, and the viral spread is too fast in confined living quarters to be contained by slow manual contact tracing processes. ObjectiveWe describe the development of a digital contact tracing system that LTC facilities can use to rapidly identify and contain asymptomatic and symptomatic SARS-CoV-2 infected contacts. A compartmental model was also developed to simulate disease transmission dynamics and to assess system performance versus conventional methods. MethodsWe developed a compartmental model parameterized specifically to assess the coronavirus disease (COVID-19) transmission in LTC facilities. The model was used to quantify the impact of asymptomatic transmission and to assess the performance of several intervention groups to control outbreaks: no intervention, symptom mapping, polymerase chain reaction testing, and manual and digital contact tracing. ResultsOur digital contact tracing system allows users to rapidly identify and then isolate close contacts, store and track infection data in a respiratory line listing tool, and identify contaminated rooms. Our simulation results indicate that the speed and efficiency of digital contact tracing contributed to superior control performance, yielding up to 52% fewer cases than conventional methods. ConclusionsDigital contact tracing systems show promise as an effective tool to control COVID-19 outbreaks in LTC facilities. As facilities prepare to relax restrictions and reopen to outside visitors, such tools will allow them to do so in a surgical, cost-effective manner that controls outbreaks while safely giving residents back the life they once had before this pandemic hit.

Published
2020
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29. Developing a Diagnostic Multivariable Prediction Model for Urinary Tract Cancer in Patients Referred with Haematuria: Results from the IDENTIFY Collaborative Study

Author

Sinan Khadhouri, Kevin M. Gallagher, Kenneth R. MacKenzie, Taimur T. Shah, Chuanyu Gao, Sacha Moore, Eleanor F. Zimmermann, Eric Edison, Matthew Jefferies, Arjun Nambiar, Thineskrishna Anbarasan, Miles P. Mannas, Taeweon Lee, Giancarlo Marra, Juan Gómez Rivas, Gautier Marcq, Mark A. Assmus, Taha Uçar, Francesco Claps, Matteo Boltri, Giuseppe La Montagna, Tara Burnhope, Nkwam Nkwam, Tomas Austin, Nicholas E. Boxall, Alison P. Downey, Troy A. Sukhu, Marta Antón-Juanilla, Sonpreet Rai, Yew-Fung Chin, Madeline Moore, Tamsin Drake, James S.A. Green, Beatriz Goulao, Graeme MacLennan, Matthew Nielsen, John S. McGrath, Veeru Kasivisvanathan, Aasem Chaudry, Abhishek Sharma, Adam Bennett, Adnan Ahmad, Ahmed Abroaf, Ahmed Musa Suliman, Aimee Lloyd, Alastair McKay, Albert Wong, Alberto Silva, Alexandre Schneider, Alison MacKay, Allen Knight, Alkiviadis Grigorakis, Amar Bdesha, Amy Nagle, Ana Cebola, Ananda Kumar Dhanasekaran, Andraž Kondža, André Barcelos, Andrea Benedetto Galosi, Andrea Ebur, Andrea Minervini, Andrew Russell, Andrew Webb, Ángel García de Jalón, Ankit Desai, Anna Katarzyna Czech, Anna Mainwaring, Anthony Adimonye, Arighno Das, Arnaldo Figueiredo, Arnauld Villers, Artur Leminski, Arvinda Chippagiri, Asim Ahmed Lal, Asıf Yıldırım, Athanasios Marios Voulgaris, Audrey Uzan, Aye Moh Moh Oo, Ayman Younis, Bachar Zelhof, Bashir Mukhtar, Ben Ayres, Ben Challacombe, Benedict Sherwood, Benjamin Ristau, Billy Lai, Brechtje Nellensteijn, Brielle Schreiter, Carlo Trombetta, Catherine Dowling, Catherine Hobbs, Cayo Augusto Estigarribia Benitez, Cédric Lebacle, Cherrie Wing Yin Ho, Chi-Fai Ng, Chloe Mount, Chon Meng Lam, Chris Blick, Christian Brown, Christopher Gallegos, Claire Higgs, Clíodhna Browne, Conor McCann, Cristina Plaza Alonso, Daniel Beder, Daniel Cohen, Daniel Gordon, Daniel Wilby, Danny Gordon, David Hrouda, David Hua Wu Lau, Dávid Karsza, David Mak, David Martin-Way, Denula Suthaharan, Dhruv Patel, Diego M Carrion, Donald Nyanhongo, Edward Bass, Edward Mains, Edwin Chau, Elba Canelon Castillo, Elizabeth Day, Elsayed Desouky, Emily Gaines, Emma Papworth, Emrah Yuruk, Enes Kilic, Eoin Dinneen, Erika Palagonia, Evanguelos Xylinas, Faizan Khawaja, Fernando Cimarra, Florian Bardet, Francesca Kum, Francesca Peters, Gábor Kovács, Geroge Tanasescu, Giles Hellawell, Giovanni Tasso, Gitte Lam, Giuseppe Pizzuto, Gordan Lenart, Günal Özgür, Hai Bi, Hannah Lyons, Hannah Warren, Hashim Ahmed, Helen Simpson, Helena Burden, Helena Gresty, Hernado Rios Pita, Holly Clarke, Hosam Serag, Howard Kynaston, Hugh Crawford-Smith, Hugh Mostafid, Hugo Otaola-Arca, Hui Fen Koo, Ibrahim Ibrahim, Idir Ouzaid, Ignacio Puche-Sanz, Igor Tomašković, Ilker Tinay, Iqbal Sahibzada, Isaac Thangasamy, Iván Revelo Cadena, Jacques Irani, Jakub Udzik, James Brittain, James Catto, James Green, James Tweedle, Jamie Borrego Hernando, Jamie Leask, Jas Kalsi, Jason Frankel, Jason Toniolo, Jay D. Raman, Jean Courcier, Jeevan Kumaradeevan, Jennifer Clark, Jennifer Jones, Jeremy Yuen-Chun Teoh, John Iacovou, John Kelly, John P. Selph, Jonathan Aning, Jon Deeks, Jonathan Cobley, Jonathan Olivier, Jonny Maw, José Antonio Herranz-Yagüe, Jose Ignacio Nolazco, Jose Manuel Cózar-Olmo, Joseph Bagley, Joseph Jelski, Joseph Norris, Joseph Testa, Joshua Meeks, Juan Hernandez, Juan Luis Vásquez, Karen Randhawa, Karishma Dhera, Katarzyna Gronostaj, Kathleen Houlton, Kathleen Lehman, Kathryn Gillams, Kelvin Adasonla, Kevin Brown, Kevin Murtagh, Kiki Mistry, Kim Davenport, Kosuke Kitamura, Laura Derbyshire, Laurence Clarke, Lawrie Morton, Levin Martinez, Louise Goldsmith, Louise Paramore, Luc Cormier, Lucio Dell'Atti, Lucy Simmons, Luis Martinez-Piñeiro, Luis Rico, Luke Chan, Luke Forster, Lulin Ma, Maria Camacho Gallego, Maria José Freire, Mark Emberton, Mark Feneley, Marta Viridiana Muñoz Rivero, Matea Pirša, Matteo Tallè, Matthew Crockett, Matthew Liew, Matthew Trail, Max Peters, Meghan Cooper, Meghana Kulkarni, Michael Ager, Ming He, Mo Li, Mohamed Omran Breish, Mohamed Tarin, Mohammed Aldiwani, Mudit Matanhelia, Muhammad Pasha, Mustafa Kaan Akalın, Nasreen Abdullah, Nathan Hale, Neha Gadiyar, Neil Kocher, Nicholas Bullock, Nicholas Campain, Nicola Pavan, Nihad Al-Ibraheem, Nikita Bhatt, Nishant Bedi, Nitin Shrotri, Niyati Lobo, Olga Balderas, Omar Kouli, Otakar Capoun, Pablo Oteo Manjavacas, Paolo Gontero, Paramananthan Mariappan, Patricio Garcia Marchiñena, Paul Erotocritou, Paul Sweeney, Paula Planelles, Peter Acher, Peter C. Black, Peter K Osei-Bonsu, Peter Østergren, Peter Smith, Peter-Paul Michiel Willemse, Piotr L. Chlosta, Qurrat Ul Ain, Rachel Barratt, Rachel Esler, Raihan Khalid, Ray Hsu, Remigiusz Stamirowski, Reshma Mangat, Ricardo Cruz, Ricky Ellis, Robert Adams, Robert Hessell, Robert J.A. Oomen, Robert McConkey, Robert Ritchie, Roberto Jarimba, Rohit Chahal, Rosado Mario Andres, Rosalyn Hawkins, Rotimi David, Rustom P. Manecksha, Sachin Agrawal, Syed Sami Hamid, Samuel Deem, Sanchia Goonewardene, Satchi Kuchibhotla Swami, Satoshi Hori, Shahid Khan, Shakeel Mohammud Inder, Shanthi Sangaralingam, Shekhar Marathe, Sheliyan Raveenthiran, Shigeo Horie, Shomik Sengupta, Sian Parson, Sidney Parker, Simon Hawlina, Simon Williams, Simone Mazzoli, Slawomir Grzegorz Kata, Sofia Pinheiro Lopes, Sónia Ramos, Sophie Rintoul-Hoad, Sorcha O'Meara, Steve Morris, Stacey Turner, Stefano Venturini, Stephanos Almpanis, Steven Joniau, Sunjay Jain, Susan Mallett, Sven Nikles, null Shahzad, Sylvia Yan, Tarq Toma, Teresa Cabañuz Plo, Thierry Bonnin, Tim Muilwijk, Tim Wollin, Timothy Shun Man Chu, Timson Appanna, Tom Brophy, Tom Ellul, Tomaž Smrkolj, Tracey Rowe, Troy Sukhu, Trushar Patel, Tullika Garg, Turhan Çaşkurlu, Uros Bele, Usman Haroon, Víctor Crespo-Atín, Victor Parejo Cortes, Victoria Capapé Poves, Vincent Gnanapragasam, Vineet Gauhar, Vinnie During, Vivek Kumar, Vojtech Fiala, Wasim Mahmalji, Wayne Lam, Yew Fung Chin, Yigit Filtekin, Yih Chyn Phan, Youssed Ibrahim, Zachary A Glaser, Zainal Adwin Abiddin, Zijian Qin, Zsuzsanna Zotter, Zulkifli Zainuddin, Khadhouri, Sinan, Gallagher, Kevin M., Mackenzie, Kenneth R., Shah, Taimur T., Gao, Chuanyu, Moore, Sacha, Zimmermann, Eleanor F., Edison, Eric, Jefferies, Matthew, Nambiar, Arjun, Anbarasan, Thineskrishna, Mannas, Miles P., Lee, Taeweon, Marra, Giancarlo, Gómez Rivas, Juan, Marcq, Gautier, Assmus, Mark A., Uçar, Taha, Claps, Francesco, Boltri, Matteo, La Montagna, Giuseppe, Burnhope, Tara, Nkwam, Nkwam, Austin, Toma, Boxall, Nicholas E., Downey, Alison P., Sukhu, Troy A., Antón-Juanilla, Marta, Rai, Sonpreet, Chin, Yew-Fung, Moore, Madeline, Drake, Tamsin, Green, James S. A., Goulao, Beatriz, Maclennan, Graeme, Nielsen, Matthew, Mcgrath, John S., Kasivisvanathan, Veeru, Chaudry, Aasem, Sharma, Abhishek, Bennett, Adam, Ahmad, Adnan, Abroaf, Ahmed, Suliman, Ahmed Musa, Lloyd, Aimee, Mckay, Alastair, Wong, Albert, Silva, Alberto, Schneider, Alexandre, Mackay, Alison, Knight, Allen, Grigorakis, Alkiviadi, Bdesha, Amar, Nagle, Amy, Cebola, Ana, Dhanasekaran, Ananda Kumar, Kondža, Andraž, Barcelos, André, Galosi, Andrea Benedetto, Ebur, Andrea, Minervini, Andrea, Russell, Andrew, Webb, Andrew, de Jalón, Ángel García, Desai, Ankit, Czech, Anna Katarzyna, Mainwaring, Anna, Adimonye, Anthony, Das, Arighno, Figueiredo, Arnaldo, Villers, Arnauld, Leminski, Artur, Chippagiri, Arvinda, Lal, Asim Ahmed, Yıldırım, Asıf, Voulgaris, Athanasios Mario, Uzan, Audrey, Oo, Aye Moh Moh, Younis, Ayman, Zelhof, Bachar, Mukhtar, Bashir, Ayres, Ben, Challacombe, Ben, Sherwood, Benedict, Ristau, Benjamin, Lai, Billy, Nellensteijn, Brechtje, Schreiter, Brielle, Trombetta, Carlo, Dowling, Catherine, Hobbs, Catherine, Benitez, Cayo Augusto Estigarribia, Lebacle, Cédric, Ho, Cherrie Wing Yin, Ng, Chi-Fai, Mount, Chloe, Lam, Chon Meng, Blick, Chri, Brown, Christian, Gallegos, Christopher, Higgs, Claire, Browne, Clíodhna, Mccann, Conor, Plaza Alonso, Cristina, Beder, Daniel, Cohen, Daniel, Gordon, Daniel, Wilby, Daniel, Gordon, Danny, Hrouda, David, Lau, David Hua Wu, Karsza, Dávid, Mak, David, Martin-Way, David, Suthaharan, Denula, Patel, Dhruv, Carrion, Diego M, Nyanhongo, Donald, Bass, Edward, Mains, Edward, Chau, Edwin, Canelon Castillo, Elba, Day, Elizabeth, Desouky, Elsayed, Gaines, Emily, Papworth, Emma, Yuruk, Emrah, Kilic, Ene, Dinneen, Eoin, Palagonia, Erika, Xylinas, Evanguelo, Khawaja, Faizan, Cimarra, Fernando, Bardet, Florian, Kum, Francesca, Peters, Francesca, Kovács, Gábor, Tanasescu, Geroge, Hellawell, Gile, Tasso, Giovanni, Lam, Gitte, Pizzuto, Giuseppe, Lenart, Gordan, Özgür, Günal, Bi, Hai, Lyons, Hannah, Warren, Hannah, Ahmed, Hashim, Simpson, Helen, Burden, Helena, Gresty, Helena, Rios Pita, Hernado, Clarke, Holly, Serag, Hosam, Kynaston, Howard, Crawford-Smith, Hugh, Mostafid, Hugh, Otaola-Arca, Hugo, Koo, Hui Fen, Ibrahim, Ibrahim, Ouzaid, Idir, Puche-Sanz, Ignacio, Tomašković, Igor, Tinay, Ilker, Sahibzada, Iqbal, Thangasamy, Isaac, Cadena, Iván Revelo, Irani, Jacque, Udzik, Jakub, Brittain, Jame, Catto, Jame, Green, Jame, Tweedle, Jame, Hernando, Jamie Borrego, Leask, Jamie, Kalsi, Ja, Frankel, Jason, Toniolo, Jason, Raman, Jay D., Courcier, Jean, Kumaradeevan, Jeevan, Clark, Jennifer, Jones, Jennifer, Teoh, Jeremy Yuen-Chun, Iacovou, John, Kelly, John, Selph, John P., Aning, Jonathan, Deeks, Jon, Cobley, Jonathan, Olivier, Jonathan, Maw, Jonny, Herranz-Yagüe, José Antonio, Nolazco, Jose Ignacio, Cózar-Olmo, Jose Manuel, Bagley, Joseph, Jelski, Joseph, Norris, Joseph, Testa, Joseph, Meeks, Joshua, Hernandez, Juan, Vásquez, Juan Lui, Randhawa, Karen, Dhera, Karishma, Gronostaj, Katarzyna, Houlton, Kathleen, Lehman, Kathleen, Gillams, Kathryn, Adasonla, Kelvin, Brown, Kevin, Murtagh, Kevin, Mistry, Kiki, Davenport, Kim, Kitamura, Kosuke, Derbyshire, Laura, Clarke, Laurence, Morton, Lawrie, Martinez, Levin, Goldsmith, Louise, Paramore, Louise, Cormier, Luc, Dell'Atti, Lucio, Simmons, Lucy, Martinez-Piñeiro, Lui, Rico, Lui, Chan, Luke, Forster, Luke, Ma, Lulin, Gallego, Maria Camacho, Freire, Maria José, Emberton, Mark, Feneley, Mark, Rivero, Marta Viridiana Muñoz, Pirša, Matea, Tallè, Matteo, Crockett, Matthew, Liew, Matthew, Trail, Matthew, Peters, Max, Cooper, Meghan, Kulkarni, Meghana, Ager, Michael, He, Ming, Li, Mo, Omran Breish, Mohamed, Tarin, Mohamed, Aldiwani, Mohammed, Matanhelia, Mudit, Pasha, Muhammad, Akalın, Mustafa Kaan, Abdullah, Nasreen, Hale, Nathan, Gadiyar, Neha, Kocher, Neil, Bullock, Nichola, Campain, Nichola, Pavan, Nicola, Al-Ibraheem, Nihad, Bhatt, Nikita, Bedi, Nishant, Shrotri, Nitin, Lobo, Niyati, Balderas, Olga, Kouli, Omar, Capoun, Otakar, Oteo Manjavacas, Pablo, Gontero, Paolo, Mariappan, Paramananthan, Marchiñena, Patricio Garcia, Erotocritou, Paul, Sweeney, Paul, Planelles, Paula, Acher, Peter, Black, Peter C., Osei-Bonsu, Peter K, Østergren, Peter, Smith, Peter, Willemse, Peter-Paul Michiel, Chlosta, Piotr L., Ul Ain, Qurrat, Barratt, Rachel, Esler, Rachel, Khalid, Raihan, Hsu, Ray, Stamirowski, Remigiusz, Mangat, Reshma, Cruz, Ricardo, Ellis, Ricky, Adams, Robert, Hessell, Robert, Oomen, Robert J. A., Mcconkey, Robert, Ritchie, Robert, Jarimba, Roberto, Chahal, Rohit, Andres, Rosado Mario, Hawkins, Rosalyn, David, Rotimi, Manecksha, Rustom P., Agrawal, Sachin, Hamid, Syed Sami, Deem, Samuel, Goonewardene, Sanchia, Swami, Satchi Kuchibhotla, Hori, Satoshi, Khan, Shahid, Mohammud Inder, Shakeel, Sangaralingam, Shanthi, Marathe, Shekhar, Raveenthiran, Sheliyan, Horie, Shigeo, Sengupta, Shomik, Parson, Sian, Parker, Sidney, Hawlina, Simon, Williams, Simon, Mazzoli, Simone, Grzegorz Kata, Slawomir, Pinheiro Lopes, Sofia, Ramos, Sónia, Rintoul-Hoad, Sophie, O'Meara, Sorcha, Morris, Steve, Turner, Stacey, Venturini, Stefano, Almpanis, Stephano, Joniau, Steven, Jain, Sunjay, Mallett, Susan, Nikles, Sven, Shahzad, Null, Yan, Sylvia, Toma, Tarq, Cabañuz Plo, Teresa, Bonnin, Thierry, Muilwijk, Tim, Wollin, Tim, Chu, Timothy Shun Man, Appanna, Timson, Brophy, Tom, Ellul, Tom, Smrkolj, Tomaž, Rowe, Tracey, Sukhu, Troy, Patel, Trushar, Garg, Tullika, Çaşkurlu, Turhan, Bele, Uro, Haroon, Usman, Crespo-Atín, Víctor, Parejo Cortes, Victor, Capapé Poves, Victoria, Gnanapragasam, Vincent, Gauhar, Vineet, During, Vinnie, Kumar, Vivek, Fiala, Vojtech, Mahmalji, Wasim, Lam, Wayne, Fung Chin, Yew, Filtekin, Yigit, Chyn Phan, Yih, Ibrahim, Youssed, Glaser, Zachary A, Abiddin, Zainal Adwin, Qin, Zijian, Zotter, Zsuzsanna, and Zainuddin, Zulkifli

Subjects
Renal cancer, Prostate cancer, Risk factors, Urology, Bladder cancer, Urothelial cancer, Risk factor, Urinary tract cancer, Haematuria, Risk Calculator
Abstract

Background: Patient factors associated with urinary tract cancer can be used to risk stratify patients referred with haematuria, prioritising those with a higher risk of cancer for prompt investigation. Objective: To develop a prediction model for urinary tract cancer in patients referred with haematuria. Design, setting, and participants: A prospective observational study was conducted in 10 282 patients from 110 hospitals across 26 countries, aged ≥16 yr and referred to secondary care with haematuria. Patients with a known or previous urological malignancy were excluded. Outcome measurements and statistical analysis: The primary outcomes were the presence or absence of urinary tract cancer (bladder cancer, upper tract urothelial cancer [UTUC], and renal cancer). Mixed-effect multivariable logistic regression was performed with site and country as random effects and clinically important patient-level candidate predictors, chosen a priori, as fixed effects. Predictors were selected primarily using clinical reasoning, in addition to backward stepwise selection. Calibration and discrimination were calculated, and bootstrap validation was performed to calculate optimism. Results and limitations: The unadjusted prevalence was 17.2% (n = 1763) for bladder cancer, 1.20% (n = 123) for UTUC, and 1.00% (n = 103) for renal cancer. The final model included predictors of increased risk (visible haematuria, age, smoking history, male sex, and family history) and reduced risk (previous haematuria investigations, urinary tract infection, dysuria/suprapubic pain, anticoagulation, catheter use, and previous pelvic radiotherapy). The area under the receiver operating characteristic curve of the final model was 0.86 (95% confidence interval 0.85-0.87). The model is limited to patients without previous urological malignancy. Conclusions: This cancer prediction model is the first to consider established and novel urinary tract cancer diagnostic markers. It can be used in secondary care for risk stratifying patients and aid the clinician's decision-making process in prioritising patients for investigation. Patient summary: We have developed a tool that uses a person's characteristics to determine the risk of cancer if that person develops blood in the urine (haematuria). This can be used to help prioritise patients for further investigation.

Published
2022

34. Regulation of Osteogenesis by Fetuin*

Author

Binkert, Christoph, Demetriou, Michael, Sukhu, Balram, Szweras, Melanie, Tenenbaum, Howard C, and Dennis, James W

Subjects
Biochemistry and Cell Biology, Biomedical and Clinical Sciences, Biological Sciences, Rare Diseases, Biotechnology, 1.1 Normal biological development and functioning, Underpinning research, Amino Acid Sequence, Animals, Cattle, Cell Differentiation, Cells, Cultured, Gene Expression Regulation, Developmental, Male, Molecular Sequence Data, Osteogenesis, Rats, Rats, Wistar, Recombinant Proteins, Surface Plasmon Resonance, Transforming Growth Factor beta, alpha-Fetoproteins, Chemical Sciences, Medical and Health Sciences, Biochemistry & Molecular Biology, Biological sciences, Biomedical and clinical sciences, Chemical sciences
Abstract

Osteoporosis is a common problem of aging and results from a failure of homeostatic mechanisms to regulate osteogenesis and mineralization. Bovine and human forms of fetuin glycoprotein bind to the transforming growth factor (TGF)-beta/BMP (bone morphogenic protein) cytokines and block their osteogenic activity in cell culture assays (Demetriou, M., Binkert, C., Sukhu, B., Tenenbaum, H. C., and Dennis, J. W. (1996) J. Biol. Chem. 271, 12755-12761). Fetuin is a prominent serum glycoprotein and a major noncollagenous component of mineralized bone in mammals. In this study, we show that recombinant fetuin and native serum protein have similar potency as inhibitors of osteogenesis in dexamethasone-treated rat bone marrow cell cultures (dex-RBMC). Recombinant bovine fetuin also bound to TGF-beta1 and BMP-2 in vitro with kinetics similar to native fetuin. Although TGF-beta1 is required for osteogenesis in dex-RBMC, the cytokine also inhibited osteogenesis at concentrations >/=10 pM. Titration of fetuin or anti-TGF-beta1 antibodies into the bone marrow cultures in the presence of 10 pM TGF-beta1 restored osteogenesis, whereas titrations of the same reagents into cultures with 0.3 pM added TGF-beta1 were inhibitory, confirming the biphasic nature of the TGF-beta1 response. Suppression of osteogenesis by both TGF-beta1 and the antagonist proteins required their presence within the first 6 days of culture, well before mineralization at 10-12 days. Northern analysis showed that both fetuin and high dose TGF-beta1 suppressed expression of the bone-associated transcripts alkaline phosphatase, osteopontin, collagen type I, and bone sialoprotein. The suppression of osteogenesis by fetuin and by high dose TGF-beta1 was accompanied by the differentiation of an alternate cell lineage with adipocyte characteristics. In summary, the biphasic osteogenic response to TGF-beta1 suggests that overlapping gradients of TGF-beta/BMP cytokines and fetuin regulate osteogenesis in remodeling bone.

Published
1999

35. Back Cover

Author

Sukhu, Gopal

Published
2012

36. Index

Author

Sukhu, Gopal

Published
2012

37. Notes

Author

Sukhu, Gopal

Published
2012

40. Cover Page

Author

Sukhu, Gopal

Published
2012

42. Contents

Author

Sukhu, Gopal

Published
2012

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