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4. Quality Assurance, Meet Quality Appreciation: Using Appreciative Inquiry to Define Faculty Quality Standards

Author

Morgan, Ann M., Jobe, Rebecca L., Konopa, Juli K., and Downs, Lyda D.

Abstract

Objectives: This study outlines the journey of an online university to evaluate faculty performance standards, key performance indicators, and systems for quality assurance using an appreciative inquiry summit model. The study reveals the power of "quality appreciation" as an approach that elicits a shared vision for quality definitions and standards and serves as a historical marker in the higher education shift from data-driven faculty performance approaches to strengths-based, inclusive methods. Method: The retrospective business case outlines one university's 2018 Appreciative Inquiry Summit, 5D (define, discover, dream, design, destiny/deliver) approach, resulting deliverables, lessons learned, and conclusions. Results: The summit and subsequent quality appreciation processes laid a foundation for inclusive leadership and inclusive teaching and learning. Quality appreciation was observed to be a third component to quality enhancement that had heretofore included quality control and quality assurance mechanisms. Quality appreciation, based on appreciative inquiry (AI) approaches, is a method for uncovering the positive core of an organization that results in ideal quality standards, definitions, and desires for ongoing quality creation. Conclusions: This case provides a view of one university's building upon data-driven methods for faculty performance evaluation. The use of appreciative inquiry to advance a quality appreciation agenda and human-centered approaches served as a stepping-stone toward a vision for inclusive, strengths-based quality enhancement. Implication for Theory and/or Practice: Quality control mechanisms and systems for quality assurance are supported by quality appreciation. In this case, faculty quality appreciation is the integration of AI practices with ongoing evaluation and identification of faculty and classroom quality standards. Quality Appreciation leads to strengthened definitions of quality that are values-driven and founded in the heart and soul of the university's teaching and learning.

Published
2022

6. Description and Cross-Sectional Analyses of 25,880 Adults and Children in the UK National Registry of Rare Kidney Diseases Cohort

Author

Abat, Sharirose, Adalat, Shazia, Agbonmwandolor, Joy, Ahmad, Zubaidah, Alejmi, Abdulfattah, Almasarwah, Rashid, Annear, Nicholas, Asgari, Ellie, Ayers, Amanda, Baharani, Jyoti, Balasubramaniam, Gowrie, Kpodo, Felix Jo-Bamba, Bansal, Tarun, Barratt, Alison, Barratt, Jonathan, Bates, Megan, Bayne, Natalie, Bendle, Janet, Benyon, Sarah, Bergmann, Carsten, Bhandari, Sunil, Bingham, Coralie, Boddana, Preetham, Bond, Sally, Braddon, Fiona, Bramham, Kate, Branson, Angela, Brearey, Stephen, Brocklebank, Vicky, Budwal, Sharanjit, Byrne, Conor, Cairns, Hugh, Camilleri, Brian, Campbell, Gary, Capell, Alys, Carmody, Margaret, Carson, Marion, Cathcart, Tracy, Catley, Christine, Cesar, Karine, Chan, Melanie, Chea, Houda, Chess, James, Cheung, Chee Kay, Chick, Katy-Jane, Chitalia, Nihil, Christian, Martin, Chrysochou, Tina, Clark, Katherine, Clayton, Christopher, Clissold, Rhian, Cockerill, Helen, Coelho, Joshua, Colby, Elizabeth, Colclough, Viv, Conway, Eileen, Cook, H. Terence, Cook, Wendy, Cooper, Theresa, Coward, Richard J., Crosbie, Sarah, Cserep, Gabor, Date, Anjali, Davidson, Katherine, Davies, Amanda, Dhaun, Neeraj, Dhaygude, Ajay, Diskin, Lynn, Dixit, Abhijit, Doctolero, Eunice Ann, Dorey, Suzannah, Downard, Lewis, Drayson, Mark, Dreyer, Gavin, Dutt, Tina, Etuk, Kufreabasi, Evans, Dawn, Finch, Jenny, Flinter, Frances, Fotheringham, James, Francis, Lucy, Gale, Daniel P., Gallagher, Hugh, Game, David, Garcia, Eva Lozano, Gavrila, Madita, Gear, Susie, Geddes, Colin, Gilchrist, Mark, Gittus, Matt, Goggolidou, Paraskevi, Goldsmith, Christopher, Gooden, Patricia, Goodlife, Andrea, Goodwin, Priyanka, Grammatikopoulos, Tassos, Gray, Barry, Griffith, Megan, Gumus, Steph, Gupta, Sanjana, Hamilton, Patrick, Harper, Lorraine, Harris, Tess, Haskell, Louise, Hayward, Samantha, Hegde, Shivaram, Hendry, Bruce, Hewins, Sue, Hewitson, Nicola, Hillman, Kate, Hiremath, Mrityunjay, Howson, Alexandra, Htet, Zay, Huish, Sharon, Hull, Richard, Humphries, Alister, Hunt, David P.J., Hunter, Karl, Hunter, Samantha, Ijeomah-Orji, Marilyn, Inston, Nick, Jayne, David, Jenfa, Gbemisola, Jenkins, Alison, Johnson, Sally, Jones, Caroline A., Jones, Colin, Jones, Amanda, Jones, Rachel, Kamesh, Lavanya, Kanigicherla, Durga, Frankl, Fiona Karet, Karim, Mahzuz, Kaur, Amrit, Kavanagh, David, Kearley, Kelly, Kerecuk, Larissa, Khwaja, Arif, King, Garry, King, Grant, Kislowska, Ewa, Klata, Edyta, Kokocinska, Maria, Lambie, Mark, Lawless, Laura, Ledson, Thomas, Lennon, Rachel, Levine, Adam P., Maggie Lai, Ling Wai, Lipkin, Graham, Lovitt, Graham, Lyons, Paul, Mabillard, Holly, Mackintosh, Katherine, Mahdi, Khalid, Maher, Eamonn, Marchbank, Kevin J., Mark, Patrick B., Masoud, Sherry, Masunda, Bridgett, Mavani, Zainab, Mayfair, Jake, McAdoo, Stephen, Mckinnell, Joanna, Melhem, Nabil, Meyrick, Simon, Moochhala, Shabbir, Morgan, Putnam, Morgan, Ann, Muhammad, Fawad, Murray, Shona, Novobritskaya, Kristina, Ong, Albert CM., Oni, Louise, Osmaston, Kate, Padmanabhan, Neal, Parkes, Sharon, Patrick, Jean, Pattison, James, Paul, Riny, Percival, Rachel, Perkins, Stephen J., Persu, Alexandre, Petchey, William G., Pickering, Matthew C., Pinney, Jennifer, Pitcher, David, Plumb, Lucy, Plummer, Zoe, Popoola, Joyce, Post, Frank, Power, Albert, Pratt, Guy, Pusey, Charles, Rabara, Ria, Rabuya, May, Raju, Tina, Javier, Chadd, Roberts, Ian SD., Roufosse, Candice, Rumjon, Adam, Salama, Alan, Saleem, Moin, Sandford, R.N., Sandu, Kanwaljit S., Sarween, Nadia, Sayer, John A., Sebire, Neil, Selvaskandan, Haresh, Shah, Sapna, Sharma, Asheesh, Sharples, Edward J., Sheerin, Neil, Shetty, Harish, Shroff, Rukshana, Simms, Roslyn, Sinha, Manish, Sinha, Smeeta, Smith, Kerry, Smith, Lara, Srivastava, Shalabh, Steenkamp, Retha, Stott, Ian, Stroud, Katerina, Swift, Pauline, Szklarzewicz, Justyna, Tam, Fred, Tan, Kay, Taylor, Robert, Tischkowitz, Marc, Thomas, Kay, Tse, Yincent, Turnbull, Alison, Turner, A. Neil, Tyerman, Kay, Usher, Miranda, Venkat-Raman, Gopalakrishnan, Walker, Alycon, Walsh, Stephen B., Waters, Aoife, Watt, Angela, Webster, Phil, Wechalekar, Ashutosh, Welsh, Gavin Iain, West, Nicol, Wheeler, David, Wiles, Kate, Willcocks, Lisa, Williams, Angharad, Williams, Emma, Williams, Karen, Wilson, Deborah H., Wilson, Patricia D., Winyard, Paul, Wong, Edwin, Wong, Katie, Wood, Grahame, Woodward, Emma, Woodward, Len, Woolf, Adrian, Wright, David, Downward, Lewis, Griffin, Sian, Hall, Matt, Karet Frankl, Fiona, Maher, Eamonn R., Pinney, Jenny, Tam, Frederick W.K., Wilson, Patricia, Sy, Karla Therese L., Huang, Kui, Ye, Jamie, Nitsch, Dorothea, and Bockenhauer, Detlef

Published
2024
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8. Risk loci involved in giant cell arteritis susceptibility: a genome-wide association study

Author

Callejas, José Luis, Caminal-Montero, Luis, Corbera-Bellalta, Marc, de Miguel, Eugenio, Díaz-López, J. Bernardino, García-Villanueva, María Jesús, Gómez-Vaquero, Carmen, Guijarro-Rojas, Mercedes, Hidalgo-Conde, Ana, Marí-Alfonso, Begoña, Martínez-Berriochoa, Agustín, Morado, Inmaculada C., Narváez, Javier, Ramentol-Sintas, Marc, Martínez-Zapico, Aleida, Martínez-Taboada, Víctor Manuel, Miranda-Filloy, José A., Monfort, Jordi, Pérez-Conesa, Mercedes, Prieto-González, Sergio, Raya, Enrique, Ríos-Fenández, Raquel, Sánchez-Martín, Julio, Sopeña, Bernardo, Tío, Laura, Unzurrunzaga, Ainhoa, Wordsworth, Oliver, Whitwell, Isobel, Brock, Jessica, Douglas, Victoria, Hettiarachchi, Chamila, Bartholomew, Jacqui, Jarrett, Stephen, Smithson, Gayle, Green, Michael, Brown, Pearl Clark, Lawson, Cathy, Gordon, Esther, Lane, Suzanne, Francis, Rebecca, Dasgupta, Bhaskar, Masunda, Bridgett, Calver, Jo, Patel, Yusuf, Thompson, Charlotte, Gregory, Louise, Levy, Sarah, Menon, Ajit, Thompson, Amy, Dyche, Lisa, Martin, Michael, Li, Charles, Laxminarayan, Ramasharan, Wilcox, Louise, de Guzman, Ralph, Isaacs, John, Lorenzi, Alice, Farley, Ross, Hinchcliffe-Hume, Helain, Bejarano, Victoria, Hope, Susan, Nandi, Pradip, Stockham, Lynne, Wilde, Catherine, Durrant, Donna, Lloyd, Mark, Ye, Chee-Seng, Stevens, Rob, Jilani, Amjad, Collins, David, Pegler, Suzannah, Rivett, Ali, Price, Liz, McHugh, Neil, Skeoch, Sarah, O'Kane, Diana, Kirkwood, Sue, Vadivelu, Saravanan, Pugmire, Susan, Sultan, Shabina, Dooks, Emma, Armstrong, Lisa, Sadik, Hala, Nandagudi, Anupama, Abioye, Tolu, Ramos, Angelo, Gumus, Steph, Sofat, Nidhi, Harrison, Abiola, Seward, Abi, Mollan, Susan, Rahan, Ray, Hawkins, Helen, Emsley, Hedley, Bhargava, Anna, Fleming, Vicki, Hare, Marianne, Raj, Sonia, George, Emmanuel, Allen, Nicola, Hunter, Karl, O'Sullivan, Eoin, Bird, Georgina, Magliano, Malgorzata, Manzo, Katarina, Sanghera, Bobbie, Hutchinson, David, Hammonds, Fiona, Sharma, Poonam, Cooper, Richard, McLintock, Graeme, Al-Saffar, Zaid S., Green, Mike, Elliott, Kerry, Neale, Tania, Mallinson, Janine, Lanyon, Peter, Pradere, Marie-Josephe, Jordan, Natasha, Htut, Ei Phyu, Mushapaidzi, Thelma, Abercrombie, Donna, Wright, Sam, Rowlands, Jane, Mukhtyar, Chetan, Kennedy, James, Makkuni, Damodar, Wilhelmsen, Elva, Kouroupis, Michael, John, Lily, Hughes, Rod, Walsh, Margaret, Buckley, Marie, Mackay, Kirsten, Camden-Woodley, Tracey, Redome, Joan, Pearce, Kirsty, Marianayagam, Thiraupathy, Cruz, Carina, Warner, Elizabeth, Atchia, Ishmael, Walker, Claire, Black, Karen, Duffy, Stacey, Fothergill, Lynda, Jefferey, Rebecca, Toomey, Jackie, Rhys-Dillon, Ceril, Pothecary, Carla, Green, Lauren, Toms, Tracey, Maher, Linda, Davis, Diana, Sayan, Amrinder, Thankachen, Mini, Abusalameh, Mahdi, Record, Jessica, Khan, Asad, Stafford, Sam, Hussein, Azza, Williams, Clare, Fletcher, Alison, Johson, Laura, Burnett, Richard, Moots, Robert, Frankland, Helen, Dale, James, Moar, Kirsten, Hollas, Carol, Parker, Ben, Ridings, Derek, Eapen, Sandhya, John, Sindhu, Robson, Jo, Guthrie, Lucy Belle, Fyfe, Rose, Tait, Moira, Marks, Jonathan, Gunter, Emma, Hernandez, Rochelle, Bhat, Smita, Johnston, Paul, Khurshid, Muhammad, Barclay, Charlotte, Kapur, Deepti, Jeffrey, Helen, Hughes, Anna, Slack, Lauren, Thomas, Eleri, Royon, Anna, Hall, Angela, King, Jon, Nyathi, Sindi, Morris, Vanessa, Castelino, Madhura, Hawkins, Ellie, Tomson, Linda, Singh, Animesh, Nunag, Annalyn, O'Connor, Stella, Rushby, Nathan, Hewitson, Nicola, O'Sunmboye, Kenny, Lewszuk, Adam, Boyles, Louise, Perry, Martin, Williams, Emma, Graver, Christine, Defever, Emmanuel, Kamanth, Sanjeet, Kay, Dominic, Ogor, Joe, Winter, Louise, Horton, Sarah, Welch, Gillian, Hollinshead, Kath, Peters, James, Labao, Julius, Dmello, Andrea, Dawson, Julie, Graham, Denise, De Lord, Denise, Deery, Jo, Hazelton, Tracy, Carette, Simon, Chung, Sharon, Cuthbertson, David, Forbess, Lindsy J., Gewurz-Singer, Ora, Hoffman, Gary S., Koening, Curry L., Maksimowicz-McKinnon, Kathleen M., McAlear, Carol A., Moreland, Larry W., Pagnoux, Christian, Seo, Philip, Specks, Ulrich, Spiera, Robert F., Sreih, Antoine, Warrington, Kenneth J., Monach, Paul A., Weisman, Michael, Borrego-Yaniz, Gonzalo, Ortiz-Fernández, Lourdes, Madrid-Paredes, Adela, Kerick, Martin, Hernández-Rodríguez, José, Mackie, Sarah L, Vaglio, Augusto, Castañeda, Santos, Solans, Roser, Mestre-Torres, Jaume, Khalidi, Nader, Langford, Carol A, Ytterberg, Steven, Beretta, Lorenzo, Govoni, Marcello, Emmi, Giacomo, Cimmino, Marco A, Witte, Torsten, Neumann, Thomas, Holle, Julia, Schönau, Verena, Pugnet, Gregory, Papo, Thomas, Haroche, Julien, Mahr, Alfred, Mouthon, Luc, Molberg, Øyvind, Diamantopoulos, Andreas P, Voskuyl, Alexandre, Daikeler, Thomas, Berger, Christoph T, Molloy, Eamonn S, Blockmans, Daniel, van Sleen, Yannick, Iles, Mark, Sorensen, Louise, Luqmani, Raashid, Reynolds, Gary, Bukhari, Marwan, Bhagat, Shweta, Ortego-Centeno, Norberto, Brouwer, Elisabeth, Lamprecht, Peter, Klapa, Sebastian, Salvarani, Carlo, Merkel, Peter A, Cid, María C, González-Gay, Miguel A, Morgan, Ann W, Martin, Javier, and Márquez, Ana

Published
2024
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9. Effects of rare kidney diseases on kidney failure: a longitudinal analysis of the UK National Registry of Rare Kidney Diseases (RaDaR) cohort

Author

Abat, Sharirose, Adalat, Shazia, Agbonmwandolor, Joy, Ahmad, Zubaidah, Alejmi, Abdulfattah, Almasarwah, Rashid, Annear, Nicholas, Asgari, Ellie, Ayers, Amanda, Baharani, Jyoti, Balasubramaniam, Gowrie, Kpodo, Felix, Bansal, Tarun, Barratt, Alison, Barratt, Jonathan, Bates, Megan, Bayne, Natalie, Bendle, Janet, Benyon, Sarah, Bergmann, Carsten, Bhandari, Sunil, Bingham, Coralie, Boddana, Preetham, Bond, Sally, Braddon, Fiona, Bramham, Kate, Branson, Angela, Brearey, Stephen, Brocklebank, Vicky, Budwal, Sharanjit, Byrne, Conor, Cairns, Hugh, Camilleri, Brian, Campbell, Gary, Capell, Alys, Carmody, Margaret, Carson, Marion, Cathcart, Tracy, Catley, Christine, Cesar, Karine, Chan, Melanie, Chea, Houda, Chess, James, Cheung, Chee Kay, Chick, Katy-Jane, Chitalia, Nihil, Christian, Martin, Chrysochou, Tina, Clark, Katherine, Clayton, Christopher, Clissold, Rhian, Cockerill, Helen, Coelho, Joshua, Colby, Elizabeth, Colclough, Viv, Conway, Eileen, Cook, H Terence, Cook, Wendy, Cooper, Theresa, Coward, Richard J, Crosbie, Sarah, Cserep, Gabor, Date, Anjali, Davidson, Katherine, Davies, Amanda, Dhaun, Neeraj, Dhaygude, Ajay, Diskin, Lynn, Dixit, Abhijit, Doctolero, Eunice, Dorey, Suzannah, Downard, Lewis, Drayson, Mark, Dreyer, Gavin, Dutt, Tina, Etuk, Kufreabasi, Evans, Dawn, Finch, Jenny, Flinter, Frances, Fotheringham, James, Francis, Lucy, Gale, Daniel P, Gallagher, Hugh, Game, David, Garcia, Eva, Gavrila, Madita, Gear, Susie, Geddes, Colin, Gilchrist, Mark, Gittus, Matt, Goggolidou, Paraskevi, Goldsmith, Christopher, Gooden, Patricia, Goodlife, Andrea, Goodwin, Priyanka, Grammatikopoulos, Tassos, Gray, Barry, Griffith, Megan, Gumus, Steph, Gupta, Sanjana, Hamilton, Patrick, Harper, Lorraine, Harris, Tess, Haskell, Louise, Hayward, Samantha, Hegde, Shivaram, Hendry, Bruce, Hewins, Sue, Hewitson, Nicola, Hillman, Kate, Hiremath, Mrityunjay, Howson, Alexandra, Htet, Zay, Huish, Sharon, Hull, Richard, Humphries, Alister, Hunt, David P J, Hunter, Karl, Hunter, Samantha, Ijeomah-Orji, Marilyn, Inston, Nick, Jayne, David, Jenfa, Gbemisola, Jenkins, Alison, Johnson, Sally, Jones, Caroline A, Jones, Colin, Jones, Amanda, Jones, Rachel, Kamesh, Lavanya, Kanigicherla, Durga, Karet Frankl, Fiona, Karim, Mahzuz, Kaur, Amrit, Kavanagh, David, Kearley, Kelly, Kerecuk, Larissa, Khwaja, Arif, King, Garry, King, Grant, Kislowska, Ewa, Klata, Edyta, Kokocinska, Maria, Lambie, Mark, Lawless, Laura, Ledson, Thomas, Lennon, Rachel, Levine, Adam P, Lai, Ling Wai Maggie, Lipkin, Graham, Lovitt, Graham, Lyons, Paul, Mabillard, Holly, Mackintosh, Katherine, Mahdi, Khalid, Maher, Eamonn, Marchbank, Kevin J, Mark, Patrick B, Masoud, Sherry, Masunda, Bridgett, Mavani, Zainab, Mayfair, Jake, McAdoo, Stephen, Mckinnell, Joanna, Melhem, Nabil, Meyrick, Simon, Moochhala, Shabbir, Morgan, Putnam, Morgan, Ann, Muhammad, Fawad, Murray, Shona, Novobritskaya, Kristina, Ong, Albert CM, Oni, Louise, Osmaston, Kate, Padmanabhan, Neal, Parkes, Sharon, Patrick, Jean, Pattison, James, Paul, Riny, Percival, Rachel, Perkins, Stephen J, Persu, Alexandre, Petchey, William G, Pickering, Matthew C, Pinney, Jennifer, Pitcher, David, Plumb, Lucy, Plummer, Zoe, Popoola, Joyce, Post, Frank, Power, Albert, Pratt, Guy, Pusey, Charles, Rabara, Ria, Rabuya, May, Raju, Tina, Javier, Chadd, Roberts, Ian S D, Roufosse, Candice, Rumjon, Adam, Salama, Alan, Saleem, Moin, Sandford, Richard, Sandu, Kanwaljit S, Sarween, Nadia, Sayer, John A, Sebire, Neil, Selvaskandan, Haresh, Sharma, Asheesh, Sharples, Edward J, Sheerin, Neil, Shetty, Harish, Shroff, Rukshana, Simms, Roslyn, Sinha, Manish, Sinha, Smeeta, Smith, Kerry, Smith, Lara, Srivastava, Shalabh, Steenkamp, Retha, Stott, Ian, Stroud, Katerina, Swift, Pauline, Szklarzewicz, Justyna, Tam, Fred, Tan, Kay, Taylor, Robert, Tischkowitz, Marc, Thomas, Kay, Tse, Yincent, Turnbull, Alison, Turner, A Neil, Tyerman, Kay, Usher, Miranda, Venkat-Raman, Gopalakrishnan, Walker, Alycon, Walsh, Stephen B, Waters, Aoife, Watt, Angela, Webster, Phil, Wechalekar, Ashutosh, Welsh, Gavin I, West, Nicol, Wheeler, David, Wiles, Kate, Willcocks, Lisa, Williams, Angharad, Williams, Emma, Williams, Karen, Wilson, Deborah H, Wilson, Patricia D, Winyard, Paul, Wong, Edwin, Wong, Katie, Wood, Grahame, Woodward, Emma, Woodward, Len, Woolf, Adrian, Wright, David, Downward, Lewis, Chrysochou, Constantina, Griffin, Sian, Hall, Matt, Maher, Eamonn R, Pinney, Jenny, Tam, Frederick W K, Turner, Andrew Neil, Wilson, Patricia, Taylor, Christopher Mark, Nitsch, Dorothea, and Bockenhauer, Detlef

Published
2024
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13. Reagentless photochemical transformations of dihydrofuropyridinones to azocines

Author

Manning, Morgan Ann and Harrowven, David

Abstract

Herein, the thermal and photochemical reactions of dihydrofuropyridinones will be described. Thermal rearrangements of alkynylcyclobutenones are well established routes to benzoquinones, cyclopentediones and furanones; all of which are found in several natural products. Recently, the Harrowven group reported a short synthesis of dihydrofuropyridinones via the reagentless thermolysis of alkynylcyclobutenones. Following less successful thermal reactions of dihydrofuropyridinones, we are pleased to report that their photochemical rearrangements were found to exclusively give 8‐membered nitrogen‐ containing rings, known as azocines. 8‐Membered rings are particularly difficult to synthesise; however, we report the synthesis of azocines in high yields without the need for high dilution or catalysis techniques. Azocines are found in many natural products and are highly desirable within medicinal chemistry. Optimisation of the photochemical rearrangement and the photochemical set up will be detailed in this thesis. A library of 22 azocines with various substituents has been created, including the addition of heterocycles and non‐aromatic groups. Finally, both the thermal and photochemical processes were linked under continuous flow to give a reagentless daisy chain sequence to azocines. This joint venture with Dr. Wei Sun resulted in higher yields of the azocines when compared to the step‐wise procedures.

Published
2021

15. Somatostatin Receptor PET/MR Imaging of Inflammation in Patients With Large Vessel Vasculitis and Atherosclerosis

Author

Ćorović, Andrej, Wall, Christopher, Nus, Meritxell, Gopalan, Deepa, Huang, Yuan, Imaz, Maria, Zulcinski, Michal, Peverelli, Marta, Uryga, Anna, Lambert, Jordi, Bressan, Dario, Maughan, Robert T., Pericleous, Charis, Dubash, Suraiya, Jordan, Natasha, Jayne, David R., Hoole, Stephen P., Calvert, Patrick A., Dean, Andrew F., Rassl, Doris, Barwick, Tara, Iles, Mark, Frontini, Mattia, Hannon, Greg, Manavaki, Roido, Fryer, Tim D., Aloj, Luigi, Graves, Martin J., Gilbert, Fiona J., Dweck, Marc R., Newby, David E., Fayad, Zahi A., Reynolds, Gary, Morgan, Ann W., Aboagye, Eric O., Davenport, Anthony P., Jørgensen, Helle F., Mallat, Ziad, Bennett, Martin R., Peters, James E., Rudd, James H.F., Mason, Justin C., and Tarkin, Jason M.

Published
2023
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16. Using single cell transcriptomics to characterise endothelial populations in embryonic haematopoiesis

Author

Oatley, Morgan Ann Elizabeth, Nathke, Inke, and Lancrin, Christophe

Abstract

Haematopoietic stem cells (HSCs) possess the unique ability to reconstitute an animal's entire haematopoietic system. As such, it is inherently interesting to the fields of regenerative medicine and developmental biology to understand how these cells first form in the embryo. Haematopoietic stem and progenitor cells (HSPCs) are understood to derive from a specialised endothelial precursor termed haemogenic endothelium during a narrow window of development. This project was undertaken to better characterise endothelial populations in embryonic haematopoietic tissues in an effort to improve our understanding of the endothelial to haematopoietic transition (EHT). To this end we employed single cell technology, immunofluorescence, flow cytometry and sorting, ex vivo co-culturing assays and a mouse embryonic stem cell (mESC) differentiation system. This work identified two hyaluronan receptors, Cd44 and Stabilin-2 (Stab2) on the surface of endothelial cells derived from the aorta gonad mesonephros (AGM) and yolk sac, respectively. We showed that Cd44 could be used to mark all stages of haematopoietic development arising from the AGM. This enabled us to provide transcriptional data on haemogenic endothelium, identifying potential new regulators of embryonic haematopoiesis and characterising the endothelial precursors as quiescent in nature. Furthermore, ex vivo and in vitro culturing of CD44+ cells identified a functional role for CD44 in the process of EHT. The precise mechanism by which CD44 and its ligand hyaluronan assist in the emergence of HSPCs remains unclear. We further identified the cell surface receptor Stab2 as a distinguishing feature of yolk sac vascular endothelium compared with vascular endothelium of the AGM. Our analysis suggests that EHT is more likely to derive from yolk sac endothelium that is negative for Stab2 expression and by excluding the expression of Stab2 we can enrich for AGM-like haematopoietic progenitors. Our RNA sequencing data suggests that Stab2+ endothelial cells have a transcriptional profile similar to liver sinusoidal endothelial cells, where HSPCs migrate after emergence. This poses an interesting question of whether endothelial niche cells attract haematopoietic progenitors to the yolk sac and their role there. Overall, these two hyaluronan receptors can be used to define distinct populations in the yolk sac and AGM and likely have importance for the emergence of HSPCs.

Published
2019

17. Vascular disease in people with COPD : working towards better prevention and treatment

Author

Morgan, Ann and Quint, Jennifer

Subjects
616.1
Abstract

Cardiovascular diseases (CVDs) are not only common among people with chronic obstructive pulmonary disease (COPD), but are also an important cause of death. It is hypothesised that improved diagnosis and management of concomitant CVD has the potential to decrease morbidity and mortality in this patient population. The aims of this research project were: i. to estimate absolute and relative risks for a range of individual CVD outcomes in the UK COPD population, by age group and gender; ii. to investigate whether people with COPD receive the same level of secondary prevention for stroke as people without COPD and whether they are at a disadvantage in terms of post-stroke mortality; and iii. to identify risk factors for ischaemic stroke in the period immediately following a severe acute exacerbation of COPD (AECOPD). Individual analyses revealed that CVD disease risks in COPD are not confined to acute events (myocardial infarction, stroke) but exist across a wide range of CVD outcomes. While people with COPD were just as likely to receive secondary prevention medications for stroke, they were more likely to die following a stroke than people without COPD. Finally, people who had a prior history of CVD, in particular myocardial infarction, stroke and heart failure, were at greater risk for stroke post-AECOPD but being on an ICS-containing therapy may offer a degree of protection. Collectively, results provided evidence in favour of targeting CVD comorbidities as a strategy to improve outcomes for people with COPD. Key time points for interventions include a) on COPD diagnosis and/or annual review (i.e. in mid-to-late middle age at which time primary prevention may be considered to manage CVD risks) and b) on admission for AECOPD (at which time additional investigations for underlying cardiac conditions could be initiated, if indicated).

Published
2019
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19. Comprehensive genetic and functional analyses of Fc gamma receptors influence on response to rituximab therapy for autoimmunity

Author

Robinson, James I., Md Yusof, Md Yuzaiful, Davies, Vinny, Wild, Dawn, Morgan, Michael, Taylor, John C., El-Sherbiny, Yasser, Morris, David L., Liu, Lu, Rawstron, Andy C., Buch, Maya H., Plant, Darren, Cordell, Heather J., Isaacs, John D., Bruce, Ian N., Emery, Paul, Barton, Anne, Vyse, Timothy J., Barrett, Jennifer H., Vital, Edward M., and Morgan, Ann W.

Published
2022
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24. Population Pharmacokinetic Analysis and Simulation of Alternative Dosing Regimens for Biosimilars to Adalimumab and Etanercept in Patients with Rheumatoid Arthritis

Author

Ling, Stephanie F., primary, Ogungbenro, Kayode, additional, Darwich, Adam S., additional, Ariff, Amirah Binti Mohammad, additional, Nair, Nisha, additional, Bluett, James, additional, Morgan, Ann W., additional, Isaacs, John D., additional, Wilson, Anthony G., additional, Hyrich, Kimme L., additional, Barton, Anne, additional, and Plant, Darren, additional

Published
2024
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25. Description and cross-sectional analyses of 25,880 adults and children in the UK National Registry of Rare Kidney Diseases cohort

Author

Wong, Katie, primary, Pitcher, David, additional, Braddon, Fiona, additional, Downward, Lewis, additional, Steenkamp, Retha, additional, Masoud, Sherry, additional, Annear, Nicholas, additional, Barratt, Jonathan, additional, Bingham, Coralie, additional, Coward, Richard J., additional, Chrysochou, Tina, additional, Game, David, additional, Griffin, Sian, additional, Hall, Matt, additional, Johnson, Sally, additional, Kanigicherla, Durga, additional, Karet Frankl, Fiona, additional, Kavanagh, David, additional, Kerecuk, Larissa, additional, Maher, Eamonn R., additional, Moochhala, Shabbir, additional, Pinney, Jenny, additional, Sayer, John A., additional, Simms, Roslyn, additional, Sinha, Smeeta, additional, Srivastava, Shalabh, additional, Tam, Frederick W.K., additional, Thomas, Kay, additional, Turner, A. Neil, additional, Walsh, Stephen B., additional, Waters, Aoife, additional, Wilson, Patricia, additional, Wong, Edwin, additional, Abat, Sharirose, additional, Adalat, Shazia, additional, Agbonmwandolor, Joy, additional, Ahmad, Zubaidah, additional, Alejmi, Abdulfattah, additional, Almasarwah, Rashid, additional, Asgari, Ellie, additional, Ayers, Amanda, additional, Baharani, Jyoti, additional, Balasubramaniam, Gowrie, additional, Jo-Bamba Kpodo, Felix, additional, Bansal, Tarun, additional, Barratt, Alison, additional, Bates, Megan, additional, Bayne, Natalie, additional, Bendle, Janet, additional, Benyon, Sarah, additional, Bergmann, Carsten, additional, Bhandari, Sunil, additional, Boddana, Preetham, additional, Bond, Sally, additional, Bramham, Kate, additional, Branson, Angela, additional, Brearey, Stephen, additional, Brocklebank, Vicky, additional, Budwal, Sharanjit, additional, Byrne, Conor, additional, Cairns, Hugh, additional, Camilleri, Brian, additional, Campbell, Gary, additional, Capell, Alys, additional, Carmody, Margaret, additional, Carson, Marion, additional, Cathcart, Tracy, additional, Catley, Christine, additional, Cesar, Karine, additional, Chan, Melanie, additional, Chea, Houda, additional, Chess, James, additional, Cheung, Chee Kay, additional, Chick, Katy-Jane, additional, Chitalia, Nihil, additional, Christian, Martin, additional, Clark, Katherine, additional, Clayton, Christopher, additional, Clissold, Rhian, additional, Cockerill, Helen, additional, Coelho, Joshua, additional, Colby, Elizabeth, additional, Colclough, Viv, additional, Conway, Eileen, additional, Cook, H. Terence, additional, Cook, Wendy, additional, Cooper, Theresa, additional, Crosbie, Sarah, additional, Cserep, Gabor, additional, Date, Anjali, additional, Davidson, Katherine, additional, Davies, Amanda, additional, Dhaun, Neeraj, additional, Dhaygude, Ajay, additional, Diskin, Lynn, additional, Dixit, Abhijit, additional, Doctolero, Eunice Ann, additional, Dorey, Suzannah, additional, Downard, Lewis, additional, Drayson, Mark, additional, Dreyer, Gavin, additional, Dutt, Tina, additional, Etuk, Kufreabasi, additional, Evans, Dawn, additional, Finch, Jenny, additional, Flinter, Frances, additional, Fotheringham, James, additional, Francis, Lucy, additional, Gale, Daniel P., additional, Gallagher, Hugh, additional, Garcia, Eva Lozano, additional, Gavrila, Madita, additional, Gear, Susie, additional, Geddes, Colin, additional, Gilchrist, Mark, additional, Gittus, Matt, additional, Goggolidou, Paraskevi, additional, Goldsmith, Christopher, additional, Gooden, Patricia, additional, Goodlife, Andrea, additional, Goodwin, Priyanka, additional, Grammatikopoulos, Tassos, additional, Gray, Barry, additional, Griffith, Megan, additional, Gumus, Steph, additional, Gupta, Sanjana, additional, Hamilton, Patrick, additional, Harper, Lorraine, additional, Harris, Tess, additional, Haskell, Louise, additional, Hayward, Samantha, additional, Hegde, Shivaram, additional, Hendry, Bruce, additional, Hewins, Sue, additional, Hewitson, Nicola, additional, Hillman, Kate, additional, Hiremath, Mrityunjay, additional, Howson, Alexandra, additional, Htet, Zay, additional, Huish, Sharon, additional, Hull, Richard, additional, Humphries, Alister, additional, Hunt, David P.J., additional, Hunter, Karl, additional, Hunter, Samantha, additional, Ijeomah-Orji, Marilyn, additional, Inston, Nick, additional, Jayne, David, additional, Jenfa, Gbemisola, additional, Jenkins, Alison, additional, Jones, Caroline A., additional, Jones, Colin, additional, Jones, Amanda, additional, Jones, Rachel, additional, Kamesh, Lavanya, additional, Frankl, Fiona Karet, additional, Karim, Mahzuz, additional, Kaur, Amrit, additional, Kearley, Kelly, additional, Khwaja, Arif, additional, King, Garry, additional, King, Grant, additional, Kislowska, Ewa, additional, Klata, Edyta, additional, Kokocinska, Maria, additional, Lambie, Mark, additional, Lawless, Laura, additional, Ledson, Thomas, additional, Lennon, Rachel, additional, Levine, Adam P., additional, Maggie Lai, Ling Wai, additional, Lipkin, Graham, additional, Lovitt, Graham, additional, Lyons, Paul, additional, Mabillard, Holly, additional, Mackintosh, Katherine, additional, Mahdi, Khalid, additional, Maher, Eamonn, additional, Marchbank, Kevin J., additional, Mark, Patrick B., additional, Masunda, Bridgett, additional, Mavani, Zainab, additional, Mayfair, Jake, additional, McAdoo, Stephen, additional, Mckinnell, Joanna, additional, Melhem, Nabil, additional, Meyrick, Simon, additional, Morgan, Putnam, additional, Morgan, Ann, additional, Muhammad, Fawad, additional, Murray, Shona, additional, Novobritskaya, Kristina, additional, Ong, Albert CM., additional, Oni, Louise, additional, Osmaston, Kate, additional, Padmanabhan, Neal, additional, Parkes, Sharon, additional, Patrick, Jean, additional, Pattison, James, additional, Paul, Riny, additional, Percival, Rachel, additional, Perkins, Stephen J., additional, Persu, Alexandre, additional, Petchey, William G., additional, Pickering, Matthew C., additional, Pinney, Jennifer, additional, Plumb, Lucy, additional, Plummer, Zoe, additional, Popoola, Joyce, additional, Post, Frank, additional, Power, Albert, additional, Pratt, Guy, additional, Pusey, Charles, additional, Rabara, Ria, additional, Rabuya, May, additional, Raju, Tina, additional, Javier, Chadd, additional, Roberts, Ian SD., additional, Roufosse, Candice, additional, Rumjon, Adam, additional, Salama, Alan, additional, Saleem, Moin, additional, Sandford, R.N., additional, Sandu, Kanwaljit S., additional, Sarween, Nadia, additional, Sebire, Neil, additional, Selvaskandan, Haresh, additional, Shah, Sapna, additional, Sharma, Asheesh, additional, Sharples, Edward J., additional, Sheerin, Neil, additional, Shetty, Harish, additional, Shroff, Rukshana, additional, Sinha, Manish, additional, Smith, Kerry, additional, Smith, Lara, additional, Stott, Ian, additional, Stroud, Katerina, additional, Swift, Pauline, additional, Szklarzewicz, Justyna, additional, Tam, Fred, additional, Tan, Kay, additional, Taylor, Robert, additional, Tischkowitz, Marc, additional, Tse, Yincent, additional, Turnbull, Alison, additional, Turner, A Neil, additional, Tyerman, Kay, additional, Usher, Miranda, additional, Venkat-Raman, Gopalakrishnan, additional, Walker, Alycon, additional, Watt, Angela, additional, Webster, Phil, additional, Wechalekar, Ashutosh, additional, Welsh, Gavin Iain, additional, West, Nicol, additional, Wheeler, David, additional, Wiles, Kate, additional, Willcocks, Lisa, additional, Williams, Angharad, additional, Williams, Emma, additional, Williams, Karen, additional, Wilson, Deborah H., additional, Wilson, Patricia D., additional, Winyard, Paul, additional, Wong, Katie, additional, Wood, Grahame, additional, Woodward, Emma, additional, Woodward, Len, additional, Woolf, Adrian, additional, Wright, David, additional, Sy, Karla Therese L., additional, Huang, Kui, additional, Ye, Jamie, additional, Nitsch, Dorothea, additional, and Bockenhauer, Detlef, additional

Published
2024
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26. Risk loci involved in giant cell arteritis susceptibility: a genome-wide association study

Author

Borrego-Yaniz, Gonzalo, primary, Ortiz-Fernández, Lourdes, additional, Madrid-Paredes, Adela, additional, Kerick, Martin, additional, Hernández-Rodríguez, José, additional, Mackie, Sarah L, additional, Vaglio, Augusto, additional, Castañeda, Santos, additional, Solans, Roser, additional, Mestre-Torres, Jaume, additional, Khalidi, Nader, additional, Langford, Carol A, additional, Ytterberg, Steven, additional, Beretta, Lorenzo, additional, Govoni, Marcello, additional, Emmi, Giacomo, additional, Cimmino, Marco A, additional, Witte, Torsten, additional, Neumann, Thomas, additional, Holle, Julia, additional, Schönau, Verena, additional, Pugnet, Gregory, additional, Papo, Thomas, additional, Haroche, Julien, additional, Mahr, Alfred, additional, Mouthon, Luc, additional, Molberg, Øyvind, additional, Diamantopoulos, Andreas P, additional, Voskuyl, Alexandre, additional, Daikeler, Thomas, additional, Berger, Christoph T, additional, Molloy, Eamonn S, additional, Blockmans, Daniel, additional, van Sleen, Yannick, additional, Iles, Mark, additional, Sorensen, Louise, additional, Luqmani, Raashid, additional, Reynolds, Gary, additional, Bukhari, Marwan, additional, Bhagat, Shweta, additional, Ortego-Centeno, Norberto, additional, Brouwer, Elisabeth, additional, Lamprecht, Peter, additional, Klapa, Sebastian, additional, Salvarani, Carlo, additional, Merkel, Peter A, additional, Cid, María C, additional, González-Gay, Miguel A, additional, Morgan, Ann W, additional, Martin, Javier, additional, Márquez, Ana, additional, Callejas, José Luis, additional, Caminal-Montero, Luis, additional, Corbera-Bellalta, Marc, additional, de Miguel, Eugenio, additional, Díaz-López, J. Bernardino, additional, García-Villanueva, María Jesús, additional, Gómez-Vaquero, Carmen, additional, Guijarro-Rojas, Mercedes, additional, Hidalgo-Conde, Ana, additional, Marí-Alfonso, Begoña, additional, Martínez-Berriochoa, Agustín, additional, Morado, Inmaculada C., additional, Narváez, Javier, additional, Ramentol-Sintas, Marc, additional, Martínez-Zapico, Aleida, additional, Martínez-Taboada, Víctor Manuel, additional, Miranda-Filloy, José A., additional, Monfort, Jordi, additional, Pérez-Conesa, Mercedes, additional, Prieto-González, Sergio, additional, Raya, Enrique, additional, Ríos-Fenández, Raquel, additional, Sánchez-Martín, Julio, additional, Sopeña, Bernardo, additional, Tío, Laura, additional, Unzurrunzaga, Ainhoa, additional, Wordsworth, Oliver, additional, Whitwell, Isobel, additional, Brock, Jessica, additional, Douglas, Victoria, additional, Hettiarachchi, Chamila, additional, Bartholomew, Jacqui, additional, Jarrett, Stephen, additional, Smithson, Gayle, additional, Green, Michael, additional, Brown, Pearl Clark, additional, Lawson, Cathy, additional, Gordon, Esther, additional, Lane, Suzanne, additional, Francis, Rebecca, additional, Dasgupta, Bhaskar, additional, Masunda, Bridgett, additional, Calver, Jo, additional, Patel, Yusuf, additional, Thompson, Charlotte, additional, Gregory, Louise, additional, Levy, Sarah, additional, Menon, Ajit, additional, Thompson, Amy, additional, Dyche, Lisa, additional, Martin, Michael, additional, Li, Charles, additional, Laxminarayan, Ramasharan, additional, Wilcox, Louise, additional, de Guzman, Ralph, additional, Isaacs, John, additional, Lorenzi, Alice, additional, Farley, Ross, additional, Hinchcliffe-Hume, Helain, additional, Bejarano, Victoria, additional, Hope, Susan, additional, Nandi, Pradip, additional, Stockham, Lynne, additional, Wilde, Catherine, additional, Durrant, Donna, additional, Lloyd, Mark, additional, Ye, Chee-Seng, additional, Stevens, Rob, additional, Jilani, Amjad, additional, Collins, David, additional, Pegler, Suzannah, additional, Rivett, Ali, additional, Price, Liz, additional, McHugh, Neil, additional, Skeoch, Sarah, additional, O'Kane, Diana, additional, Kirkwood, Sue, additional, Vadivelu, Saravanan, additional, Pugmire, Susan, additional, Sultan, Shabina, additional, Dooks, Emma, additional, Armstrong, Lisa, additional, Sadik, Hala, additional, Nandagudi, Anupama, additional, Abioye, Tolu, additional, Ramos, Angelo, additional, Gumus, Steph, additional, Sofat, Nidhi, additional, Harrison, Abiola, additional, Seward, Abi, additional, Mollan, Susan, additional, Rahan, Ray, additional, Hawkins, Helen, additional, Emsley, Hedley, additional, Bhargava, Anna, additional, Fleming, Vicki, additional, Hare, Marianne, additional, Raj, Sonia, additional, George, Emmanuel, additional, Allen, Nicola, additional, Hunter, Karl, additional, O'Sullivan, Eoin, additional, Bird, Georgina, additional, Magliano, Malgorzata, additional, Manzo, Katarina, additional, Sanghera, Bobbie, additional, Hutchinson, David, additional, Hammonds, Fiona, additional, Sharma, Poonam, additional, Cooper, Richard, additional, McLintock, Graeme, additional, Al-Saffar, Zaid S., additional, Green, Mike, additional, Elliott, Kerry, additional, Neale, Tania, additional, Mallinson, Janine, additional, Lanyon, Peter, additional, Pradere, Marie-Josephe, additional, Jordan, Natasha, additional, Htut, Ei Phyu, additional, Mushapaidzi, Thelma, additional, Abercrombie, Donna, additional, Wright, Sam, additional, Rowlands, Jane, additional, Mukhtyar, Chetan, additional, Kennedy, James, additional, Makkuni, Damodar, additional, Wilhelmsen, Elva, additional, Kouroupis, Michael, additional, John, Lily, additional, Hughes, Rod, additional, Walsh, Margaret, additional, Buckley, Marie, additional, Mackay, Kirsten, additional, Camden-Woodley, Tracey, additional, Redome, Joan, additional, Pearce, Kirsty, additional, Marianayagam, Thiraupathy, additional, Cruz, Carina, additional, Warner, Elizabeth, additional, Atchia, Ishmael, additional, Walker, Claire, additional, Black, Karen, additional, Duffy, Stacey, additional, Fothergill, Lynda, additional, Jefferey, Rebecca, additional, Toomey, Jackie, additional, Rhys-Dillon, Ceril, additional, Pothecary, Carla, additional, Green, Lauren, additional, Toms, Tracey, additional, Maher, Linda, additional, Davis, Diana, additional, Sayan, Amrinder, additional, Thankachen, Mini, additional, Abusalameh, Mahdi, additional, Record, Jessica, additional, Khan, Asad, additional, Stafford, Sam, additional, Hussein, Azza, additional, Williams, Clare, additional, Fletcher, Alison, additional, Johson, Laura, additional, Burnett, Richard, additional, Moots, Robert, additional, Frankland, Helen, additional, Dale, James, additional, Moar, Kirsten, additional, Hollas, Carol, additional, Parker, Ben, additional, Ridings, Derek, additional, Eapen, Sandhya, additional, John, Sindhu, additional, Robson, Jo, additional, Guthrie, Lucy Belle, additional, Fyfe, Rose, additional, Tait, Moira, additional, Marks, Jonathan, additional, Gunter, Emma, additional, Hernandez, Rochelle, additional, Bhat, Smita, additional, Johnston, Paul, additional, Khurshid, Muhammad, additional, Barclay, Charlotte, additional, Kapur, Deepti, additional, Jeffrey, Helen, additional, Hughes, Anna, additional, Slack, Lauren, additional, Thomas, Eleri, additional, Royon, Anna, additional, Hall, Angela, additional, King, Jon, additional, Nyathi, Sindi, additional, Morris, Vanessa, additional, Castelino, Madhura, additional, Hawkins, Ellie, additional, Tomson, Linda, additional, Singh, Animesh, additional, Nunag, Annalyn, additional, O'Connor, Stella, additional, Rushby, Nathan, additional, Hewitson, Nicola, additional, O'Sunmboye, Kenny, additional, Lewszuk, Adam, additional, Boyles, Louise, additional, Perry, Martin, additional, Williams, Emma, additional, Graver, Christine, additional, Defever, Emmanuel, additional, Kamanth, Sanjeet, additional, Kay, Dominic, additional, Ogor, Joe, additional, Winter, Louise, additional, Horton, Sarah, additional, Welch, Gillian, additional, Hollinshead, Kath, additional, Peters, James, additional, Labao, Julius, additional, Dmello, Andrea, additional, Dawson, Julie, additional, Graham, Denise, additional, De Lord, Denise, additional, Deery, Jo, additional, Hazelton, Tracy, additional, Carette, Simon, additional, Chung, Sharon, additional, Cuthbertson, David, additional, Forbess, Lindsy J., additional, Gewurz-Singer, Ora, additional, Hoffman, Gary S., additional, Koening, Curry L., additional, Maksimowicz-McKinnon, Kathleen M., additional, McAlear, Carol A., additional, Moreland, Larry W., additional, Pagnoux, Christian, additional, Seo, Philip, additional, Specks, Ulrich, additional, Spiera, Robert F., additional, Sreih, Antoine, additional, Warrington, Kenneth J., additional, Monach, Paul A., additional, and Weisman, Michael, additional

Published
2024
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29. Population Pharmacokinetic Analysis and Simulation of Alternative Dosing Regimens for Biosimilars to Adalimumab and Etanercept in Patients with Rheumatoid Arthritis

Author

Ling, Stephanie F., Ogungbenro, Kayode, Darwich, Adam S., Ariff, Amirah Binti Mohammad, Nair, Nisha, Bluett, James, Morgan, Ann W., Isaacs, John D., Wilson, Anthony G., Hyrich, Kimme L., Barton, Anne, Plant, Darren, Ling, Stephanie F., Ogungbenro, Kayode, Darwich, Adam S., Ariff, Amirah Binti Mohammad, Nair, Nisha, Bluett, James, Morgan, Ann W., Isaacs, John D., Wilson, Anthony G., Hyrich, Kimme L., Barton, Anne, and Plant, Darren

Abstract

Efficacy to biologics in rheumatoid arthritis (RA) patients is variable and is likely influenced by each patient’s circulating drug levels. Using modelling and simulation, the aim of this study was to investigate whether adalimumab and etanercept biosimilar dosing intervals can be altered to achieve therapeutic drug levels at a faster/similar time compared to the recommended interval. RA patients starting subcutaneous Amgevita or Benepali (adalimumab and etanercept biosimilars, respectively) were recruited and underwent sparse serum sampling for drug concentrations. Drug levels were measured using commercially available kits. Pharmacokinetic data were analysed using a population approach (popPK) and potential covariates were investigated in models. Models were compared using goodness-of-fit criteria. Final models were selected and used to simulate alternative dosing intervals. Ten RA patients starting the adalimumab biosimilar and six patients starting the etanercept biosimilar were recruited. One-compartment PK models were used to describe the popPK models for both drugs; no significant covariates were found. Typical individual parameter estimates were used to simulate altered dosing intervals for both drugs. A simulation of dosing the etanercept biosimilar at a lower rate of every 10 days reached steady-state concentrations earlier than the usual dosing rate of every 7 days. Simulations of altered dosing intervals could form the basis for future personalised dosing studies, potentially saving costs whilst increasing efficacy., QC 20240627

Published
2024
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30. Estimating overdiagnosis in giant cell arteritis diagnostic pathways using genetic data: genetic association study.

Author

Chatzigeorgiou, Charikleia, Barrett, Jennifer H, Martin, Javier, Morgan, Ann W, Mackie, Sarah L, and Consortium, UK GCA

Subjects
GIANT cell arteritis diagnosis, BIOPSY, OVERDIAGNOSIS, POPULATION-based case control, RESEARCH funding, GIANT cell arteritis, DESCRIPTIVE statistics, GENETIC techniques, COMPARATIVE studies, TEMPORAL arteries, HLA-B27 antigen, SEQUENCE analysis, GENOTYPES, ALLELES, SENSITIVITY & specificity (Statistics)
Abstract

Objectives GCA can be confirmed by temporal artery biopsy (TAB) but false negatives can occur. GCA may be overdiagnosed in TAB-negative cases, or if neither TAB nor imaging is done. We used HLA genetic association of TAB-positive GCA as an 'unbiased umpire' test to estimate historic overdiagnosis of GCA. Methods Patients diagnosed with GCA between 1990 and 2014 were genotyped. During this era, vascular imaging alone was rarely used to diagnose GCA. HLA region variants were jointly imputed from genome-wide genotypic data of cases and controls. Per-allele frequencies across all HLA variants with P  < 1.0 × 10−5 were compared with population control data to estimate overdiagnosis rates in cases without a positive TAB. Results Genetic data from 663 GCA patients were compared with data from 2619 population controls. TAB-negative GCA (n  = 147) and GCA without TAB result (n  = 160) had variant frequencies intermediate between TAB-positive GCA (n  = 356) and population controls. For example, the allele frequency of HLA-DRB1*04 was 32% for TAB-positive GCA, 29% for GCA without TAB result, 27% for TAB-negative GCA and 20% in population controls. Making several strong assumptions, we estimated that around two-thirds of TAB-negative cases and one-third of cases without TAB result may have been overdiagnosed. From these data, TAB sensitivity is estimated as 88%. Conclusions Conservatively assuming 95% specificity, TAB has a negative likelihood ratio of around 0.12. Our method for utilizing standard genotyping data as an 'unbiased umpire' might be used as a way of comparing the accuracy of different diagnostic pathways. [ABSTRACT FROM AUTHOR]

Published
2024
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31. Micro-RNA content of circulating extracellular vesicles in early rheumatoid arthritis as biomarkers and mediators of methotrexate efficacy.

Author

Maunder, Daniel, Brown, Philip M, Barron-Millar, Ben, Lendrem, Dennis W, Naamane, Najib, Macdonald, Jamie, Wang, Xiao N, Isaacs, John D, Anderson, Amy E, Morgan, Ann W, Crossland, Rachel E, Mackie, Sarah L, and Pratt, Arthur G

Subjects
RHEUMATOID arthritis diagnosis, EXTRACELLULAR vesicles, BIOTECHNOLOGY, RESEARCH funding, METHOTREXATE, MICRORNA, RHEUMATOID arthritis, POLYMYALGIA rheumatica, DISEASE remission, DRUG efficacy, GENE expression profiling, BIOMARKERS, DISCRIMINANT analysis, PHARMACODYNAMICS
Abstract

Objectives Extracellular vesicles (EVs) are abundant in body fluids, contributing to intercellular signalling by transferring cargo that includes microRNAs (miRs)—themselves implicated in pathobiology. For the first time we evaluated the potential of EV miRs to contribute diagnostic information in early RA, predict methotrexate (MTX) efficacy or shed light on the drug's mechanism of action. Methods Seven hundred and ninety-eight miRs isolated from serum-derived EVs of 46 patients with untreated RA, 23 with untreated polymyalgia rheumatica (PMR; inflammatory disease control group) and 12 in whom significant inflammatory disease had been excluded (non-inflammatory controls; NICs) were profiled (NanoString); the same measurements were made for RA patients after 6 months' MTX treatment. Analyses took multiple testing into account. Results Twenty-eight EV miRs were robustly differentially expressed between early RA (but not PMR) patients and NICs after correction for age and sex, suggesting discriminatory value. Cross-validated partial least squares-discriminant analysis also indicated the predictive potential of a distinct baseline EV miR signature with respect to MTX-induced remission at 6 months. The change in expression of 13 miRs over the course of MTX treatment differed significantly between responders and non-responders, and four of those exhibiting increased relative abundance amongst responders have known roles in regulating the pathogenic potential of synovial fibroblasts, namely miR-212-3p, miR-338-5p, miR-410-3p and miR-537. Conclusion Our data highlight the potential of serum EV miRs as diagnostic and therapeutic biomarkers, highlighting a novel potential mechanism by which MTX may exert its therapeutic effect in early RA that warrants further investigation. [ABSTRACT FROM AUTHOR]

Published
2024
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34. Effects of rare kidney diseases on kidney failure: a longitudinal analysis of the UK National Registry of Rare Kidney Diseases (RaDaR) cohort

Author

Wong, Katie, primary, Pitcher, David, additional, Braddon, Fiona, additional, Downward, Lewis, additional, Steenkamp, Retha, additional, Annear, Nicholas, additional, Barratt, Jonathan, additional, Bingham, Coralie, additional, Chrysochou, Constantina, additional, Coward, Richard J, additional, Game, David, additional, Griffin, Sian, additional, Hall, Matt, additional, Johnson, Sally, additional, Kanigicherla, Durga, additional, Karet Frankl, Fiona, additional, Kavanagh, David, additional, Kerecuk, Larissa, additional, Maher, Eamonn R, additional, Moochhala, Shabbir, additional, Pinney, Jenny, additional, Sayer, John A, additional, Simms, Roslyn, additional, Sinha, Smeeta, additional, Srivastava, Shalabh, additional, Tam, Frederick W K, additional, Turner, Andrew Neil, additional, Walsh, Stephen B, additional, Waters, Aoife, additional, Wilson, Patricia, additional, Wong, Edwin, additional, Taylor, Christopher Mark, additional, Nitsch, Dorothea, additional, Saleem, Moin, additional, Bockenhauer, Detlef, additional, Bramham, Kate, additional, Gale, Daniel P, additional, Abat, Sharirose, additional, Adalat, Shazia, additional, Agbonmwandolor, Joy, additional, Ahmad, Zubaidah, additional, Alejmi, Abdulfattah, additional, Almasarwah, Rashid, additional, Asgari, Ellie, additional, Ayers, Amanda, additional, Baharani, Jyoti, additional, Balasubramaniam, Gowrie, additional, Kpodo, Felix, additional, Bansal, Tarun, additional, Barratt, Alison, additional, Bates, Megan, additional, Bayne, Natalie, additional, Bendle, Janet, additional, Benyon, Sarah, additional, Bergmann, Carsten, additional, Bhandari, Sunil, additional, Boddana, Preetham, additional, Bond, Sally, additional, Branson, Angela, additional, Brearey, Stephen, additional, Brocklebank, Vicky, additional, Budwal, Sharanjit, additional, Byrne, Conor, additional, Cairns, Hugh, additional, Camilleri, Brian, additional, Campbell, Gary, additional, Capell, Alys, additional, Carmody, Margaret, additional, Carson, Marion, additional, Cathcart, Tracy, additional, Catley, Christine, additional, Cesar, Karine, additional, Chan, Melanie, additional, Chea, Houda, additional, Chess, James, additional, Cheung, Chee Kay, additional, Chick, Katy-Jane, additional, Chitalia, Nihil, additional, Christian, Martin, additional, Chrysochou, Tina, additional, Clark, Katherine, additional, Clayton, Christopher, additional, Clissold, Rhian, additional, Cockerill, Helen, additional, Coelho, Joshua, additional, Colby, Elizabeth, additional, Colclough, Viv, additional, Conway, Eileen, additional, Cook, H Terence, additional, Cook, Wendy, additional, Cooper, Theresa, additional, Crosbie, Sarah, additional, Cserep, Gabor, additional, Date, Anjali, additional, Davidson, Katherine, additional, Davies, Amanda, additional, Dhaun, Neeraj, additional, Dhaygude, Ajay, additional, Diskin, Lynn, additional, Dixit, Abhijit, additional, Doctolero, Eunice, additional, Dorey, Suzannah, additional, Downard, Lewis, additional, Drayson, Mark, additional, Dreyer, Gavin, additional, Dutt, Tina, additional, Etuk, Kufreabasi, additional, Evans, Dawn, additional, Finch, Jenny, additional, Flinter, Frances, additional, Fotheringham, James, additional, Francis, Lucy, additional, Gallagher, Hugh, additional, Garcia, Eva, additional, Gavrila, Madita, additional, Gear, Susie, additional, Geddes, Colin, additional, Gilchrist, Mark, additional, Gittus, Matt, additional, Goggolidou, Paraskevi, additional, Goldsmith, Christopher, additional, Gooden, Patricia, additional, Goodlife, Andrea, additional, Goodwin, Priyanka, additional, Grammatikopoulos, Tassos, additional, Gray, Barry, additional, Griffith, Megan, additional, Gumus, Steph, additional, Gupta, Sanjana, additional, Hamilton, Patrick, additional, Harper, Lorraine, additional, Harris, Tess, additional, Haskell, Louise, additional, Hayward, Samantha, additional, Hegde, Shivaram, additional, Hendry, Bruce, additional, Hewins, Sue, additional, Hewitson, Nicola, additional, Hillman, Kate, additional, Hiremath, Mrityunjay, additional, Howson, Alexandra, additional, Htet, Zay, additional, Huish, Sharon, additional, Hull, Richard, additional, Humphries, Alister, additional, Hunt, David P J, additional, Hunter, Karl, additional, Hunter, Samantha, additional, Ijeomah-Orji, Marilyn, additional, Inston, Nick, additional, Jayne, David, additional, Jenfa, Gbemisola, additional, Jenkins, Alison, additional, Jones, Caroline A, additional, Jones, Colin, additional, Jones, Amanda, additional, Jones, Rachel, additional, Kamesh, Lavanya, additional, Karim, Mahzuz, additional, Kaur, Amrit, additional, Kearley, Kelly, additional, Khwaja, Arif, additional, King, Garry, additional, King, Grant, additional, Kislowska, Ewa, additional, Klata, Edyta, additional, Kokocinska, Maria, additional, Lambie, Mark, additional, Lawless, Laura, additional, Ledson, Thomas, additional, Lennon, Rachel, additional, Levine, Adam P, additional, Lai, Ling Wai Maggie, additional, Lipkin, Graham, additional, Lovitt, Graham, additional, Lyons, Paul, additional, Mabillard, Holly, additional, Mackintosh, Katherine, additional, Mahdi, Khalid, additional, Maher, Eamonn, additional, Marchbank, Kevin J, additional, Mark, Patrick B, additional, Masoud, Sherry, additional, Masunda, Bridgett, additional, Mavani, Zainab, additional, Mayfair, Jake, additional, McAdoo, Stephen, additional, Mckinnell, Joanna, additional, Melhem, Nabil, additional, Meyrick, Simon, additional, Morgan, Putnam, additional, Morgan, Ann, additional, Muhammad, Fawad, additional, Murray, Shona, additional, Novobritskaya, Kristina, additional, Ong, Albert CM, additional, Oni, Louise, additional, Osmaston, Kate, additional, Padmanabhan, Neal, additional, Parkes, Sharon, additional, Patrick, Jean, additional, Pattison, James, additional, Paul, Riny, additional, Percival, Rachel, additional, Perkins, Stephen J, additional, Persu, Alexandre, additional, Petchey, William G, additional, Pickering, Matthew C, additional, Pinney, Jennifer, additional, Plumb, Lucy, additional, Plummer, Zoe, additional, Popoola, Joyce, additional, Post, Frank, additional, Power, Albert, additional, Pratt, Guy, additional, Pusey, Charles, additional, Rabara, Ria, additional, Rabuya, May, additional, Raju, Tina, additional, Javier, Chadd, additional, Roberts, Ian S D, additional, Roufosse, Candice, additional, Rumjon, Adam, additional, Salama, Alan, additional, Sandford, Richard, additional, Sandu, Kanwaljit S, additional, Sarween, Nadia, additional, Sebire, Neil, additional, Selvaskandan, Haresh, additional, Sharma, Asheesh, additional, Sharples, Edward J, additional, Sheerin, Neil, additional, Shetty, Harish, additional, Shroff, Rukshana, additional, Sinha, Manish, additional, Smith, Kerry, additional, Smith, Lara, additional, Stott, Ian, additional, Stroud, Katerina, additional, Swift, Pauline, additional, Szklarzewicz, Justyna, additional, Tam, Fred, additional, Tan, Kay, additional, Taylor, Robert, additional, Tischkowitz, Marc, additional, Thomas, Kay, additional, Tse, Yincent, additional, Turnbull, Alison, additional, Turner, A Neil, additional, Tyerman, Kay, additional, Usher, Miranda, additional, Venkat-Raman, Gopalakrishnan, additional, Walker, Alycon, additional, Watt, Angela, additional, Webster, Phil, additional, Wechalekar, Ashutosh, additional, Welsh, Gavin I, additional, West, Nicol, additional, Wheeler, David, additional, Wiles, Kate, additional, Willcocks, Lisa, additional, Williams, Angharad, additional, Williams, Emma, additional, Williams, Karen, additional, Wilson, Deborah H, additional, Wilson, Patricia D, additional, Winyard, Paul, additional, Wong, Katie, additional, Wood, Grahame, additional, Woodward, Emma, additional, Woodward, Len, additional, Woolf, Adrian, additional, and Wright, David, additional

Published
2024
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35. Automated multiclass segmentation, quantification, and visualization of the diseased aorta on hybrid PET/CT–SEQUOIA

Author

van Praagh, Gijs D., primary, Nienhuis, Pieter H., additional, Reijrink, Melanie, additional, Davidse, Mirjam E. J., additional, Duff, Lisa M., additional, Spottiswoode, Bruce S., additional, Mulder, Douwe J., additional, Prakken, Niek H. J., additional, Scarsbrook, Andy F., additional, Morgan, Ann W., additional, Tsoumpas, Charalampos, additional, Wolterink, Jelmer M., additional, Mouridsen, Kim B., additional, Borra, Ronald J. H., additional, Sinha, Bhanu, additional, and Slart, Riemer H. J. A., additional

Published
2024
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37. Plasma proteomic associates of infection mortality in UK Biobank

Author

Drozd, Michael, primary, Hamilton, Fergus, additional, Cheng, Chew, additional, Lillie, Patrick, additional, Brown, Oliver, additional, Chaddock, Natalie, additional, Savic, Sinisa, additional, Naseem, Khalid, additional, Iles, Mark, additional, Morgan, Ann W, additional, Kearney, Mark, additional, and Cubbon, Richard, additional

Published
2024
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38. Toward Individualized Prediction of Response to Methotrexate in Early Rheumatoid Arthritis: A Pharmacogenomics‐Driven Machine Learning Approach

Author

Myasoedova, Elena, Athreya, Arjun P., Crowson, Cynthia S., Davis, John M., III, Warrington, Kenneth J., Walchak, Robert C., Carlson, Erin, Kalari, Krishna R., Bongartz, Tim, Tak, Paul P., van Vollenhoven, Ronald F., Padyukov, Leonid, Emery, Paul, Morgan, Ann, Wang, Liewei, Weinshilboum, Richard M., and Matteson, Eric L.

Published
2022
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39. Effect of Professional Development and Follow-Up Support through Coaching Emails on Secondary English Teachers' Sense of Efficacy in Implementing Mentor Text Instruction

Author

Morgan, Ann-Marie

Abstract

Beyond rigorous reading instruction in America's high schools, writing instruction in the 21st century must be addressed if students will be equipped with the critical thinking skills they need to be successful. Teachers, however, need training in implementing innovative methods in writing instruction to effect change in student achievement. This quantitative, quasi-experimental study attempted to determine what effect professional development through in-person training and follow-up support through coaching emails have on teachers' perceived self-efficacy in implementing mentor text instruction for writing. Data were collected from 9 teachers who attended a 2-hour professional development session on strategies for using mentor texts. Before and after the training, teachers responded to the Teacher Self-Efficacy Scale (TSES). Participants received 5 weeks of follow-up support through coaching emails, which included classroom exemplar videos, articles on mentor text instruction, and lesson plans for using mentor texts. A 1-sample Wilcoxon Signed Rank Test was used to compare participants' median scores on the TSES before and after the in-person training and then to compare the participants' median scores on the TSES before and after receiving follow-up support through coaching emails. Further research may demonstrate more variations of professional development and follow-up support as well as the specific uses and benefits of mentor texts in writing instruction for various grade levels and for various writing tasks as well as how it affects students' reading ability. [The dissertation citations contained here are published with the permission of ProQuest LLC. Further reproduction is prohibited without permission. Copies of dissertations may be obtained by Telephone (800) 1-800-521-0600. Web page: http://www.proquest.com/en-US/products/dissertations/individuals.shtml.]

Published
2018

43. A proteomics study of rheumatoid arthritis patients on etanercept identifies putative biomarkers associated with clinical outcome measures.

Author

Ling, Stephanie F, Yap, Chuan Fu, Nair, Nisha, Bluett, James, Morgan, Ann W, Isaacs, John D, Wilson, Anthony G, Hyrich, Kimme L, Barton, Anne, and Plant, Darren

Subjects
PROTEIN analysis, RESEARCH funding, RHEUMATOID arthritis, ANTIRHEUMATIC agents, TREATMENT effectiveness, ETANERCEPT, LONGITUDINAL method, PROTEOMICS, MASS spectrometry, BIOMARKERS, GENETICS
Abstract

Objectives Biologic DMARDs (bDMARDs) are widely used in patients with RA, but response to bDMARDs is heterogeneous. The objective of this work was to identify pretreatment proteomic biomarkers associated with RA clinical outcome measures in patients starting bDMARDs. Methods Sequential window acquisition of all theoretical fragment ion spectra mass spectrometry (SWATH-MS) was used to generate spectral maps of sera from patients with RA before and after 3 months of treatment with the bDMARD etanercept. Protein levels were regressed against RA clinical outcome measures, i.e. 28-joint DAS (DAS28) and its subcomponents and DAS28 <2.6 (i.e. remission). The proteins with the strongest evidence for association were analysed in an independent, replication dataset. Finally, subnetwork analysis was carried out using the Disease Module Detection algorithm and biological plausibility of identified proteins was assessed by enrichment analysis. Results A total of 180 patients with RA were included in the discovery dataset and 58 in the validation dataset from a UK-based prospective multicentre study. Ten individual proteins were found to be significantly associated with RA clinical outcome measures. The association of T-complex protein 1 subunit η with DAS28 remission was replicated in an independent cohort. Subnetwork analysis of the 10 proteins from the regression analysis identified the ontological theme, with the strongest associations being with acute phase and acute inflammatory responses. Conclusion This longitudinal study of 180 patients with RA commencing etanercept has identified several putative protein biomarkers of treatment response to this drug, one of which was replicated in an independent cohort. [ABSTRACT FROM AUTHOR]

Published
2024
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48. Oral glucocorticoids and incidence of hypertension in people with chronic inflammatory diseases: a population-based cohort study

Author

Mebrahtu, Teumzghi F., Morgan, Ann W., West, Robert M., Stewart, Paul M., and Pujades-Rodriguez, Mar

Subjects
Hypertension -- Diagnosis, Glucocorticoids -- Dosage and administration -- Complications and side effects -- Analysis, Cohort analysis, Chronic inflammatory demyelinating polyradiculoneuropathy -- Drug therapy, Health
Abstract

BACKGROUND: Only a few population-based studies have examined the association between glucocorticoids and hypertension, with inconsistent results. We aimed to investigate the effect of oral glucocorticoids on incidence of hypertension in adults with chronic inflammatory diseases. METHODS: We analyzed electronic health records from 389 practices in England during 1998-2017 of adults diagnosed with any of 6 chronic inflammatory diseases but with no previous diagnosis of hypertension. We used glucocorticoid prescription data to construct time-variant daily and cumulative variables of prednisolone-equivalent dose (cumulated from 1 year before the start of follow-up) and estimated incidence rates and adjusted hazard ratios (HRs) for hypertension using Cox regression analysis. RESULTS: Among 71642 patients in the cohort, 24896 (34.8%) developed hypertension during a median follow-up of 6.6 years. The incidence rate of hypertension was 46.7 (95% confidence interval [CI] 46.0-47.3) per 1000 person-years. Incidence rates increased with higher cumulative glucocorticoid prednisolone-equivalent dose, from 44.4 per 1000 person-years in periods of nonuse to 45.3 per 1000 person-years for periods with between > 0.0 and 959.9 mg (HR 1.14, 95% CI 1.09-1.19), to 49.3 per 1000 person-years for periods with 960-3054.9 mg (HR 1.20, 95% CI 1.14-1.27), and to 55.6 per 1000 person-years for periods with [greater than or equal to] 3055 mg (HR 1.30, 95% CI 1.25-1.35). Cumulative effects were seen for the 6 diseases studied, but dose-response effects were not found for daily dose. INTERPRETATION: Cumulative dose of oral glucocorticoids was associated with increased incidence of hypertension, suggesting that blood pressure should be monitored closely in patients routinely treated with these drugs. Given that glucocorticoids are widely prescribed, the associated health burden could be high. Trial registration: ClinicalTrials.gov, no. NCT03760562., Hypertension is a common preventable cause of cardiovascular morbidity and mortality and can substantially affect the quality of life and independence of older adults. (1) Hypertension affects 1 in 5 [...]

Published
2020
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50. Cultivating Critical Reflection: Educators Making Sense and Meaning of Professional Identity and Relational Dynamics in Complex Practice

Author

Morgan, Ann

Abstract

Critical reflection underpins socially just and inclusive practices that are distinguishing features of democratic learning communities. Critical reflection supports educators' interrogation of the underlying assumptions, intentions, values and beliefs that shape their worldview and sociocultural standpoint. Dominant sociocultural norms unwittingly shape the worldview and sociocultural standpoint of educators, which in turn, can contribute to systemic barriers to educational achievement for disenfranchised youth. This paper draws on doctoral research and professional practice with educators in a network of non-traditional flexi schools. The context of flexi schools influences educator identity and development. Much research has highlighted the significance of relational pedagogy as a feature of best practice. However, educators' engagement with critical reflection to enhance the relational dynamics within the learning community requires further research.

Published
2017
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