531 results on '"Rasmussen, Daniel"'
Search Results
2. List of contributors
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Alexdottir, Marta, primary, Arvanitidis, A., additional, Bager, Cecilie Liv, additional, Bay-Jensen, A.C., additional, Bihlet, Asger R., additional, Breisnes, Helene W., additional, Cox, Thomas R., additional, Crespo-Bravo, M., additional, Engstroem, A., additional, Genovese, Federica, additional, Gillesberg, F.S., additional, Groen, S.S., additional, Gudmann, N.S., additional, Guiliani, A.E.M, additional, Hannani, M.T., additional, Hansen, Annika H., additional, Hansen, Niels U.B., additional, He, Y., additional, Heinz, A., additional, Henriksen, Kim, additional, Holm Nielsen, S., additional, Jansen, S.M., additional, Jensen, C., additional, Jessen, H., additional, Juhl, Pernille, additional, Karsdal, M.A., additional, Kehlet, S.N., additional, Kjeld, N.G., additional, Kristensen, J.H., additional, Langholm, L.L., additional, Laursen, Clara F.G., additional, Leeming, D.J., additional, Lindholm, M., additional, Lønsmann, I., additional, Luo, Y.Y., additional, Madsen, E.A., additional, Madsen, S.F., additional, Manon-Jensen, T., additional, Miner, Jeffrey H., additional, Mortensen, J.H., additional, Møller, A.L., additional, Nielsen, M.J., additional, Nissen, Neel I., additional, Pedersen, R.S., additional, Pehrsson, M., additional, Port, H., additional, Rasmussen, Daniel G.K., additional, Reese-Petersen, A.L., additional, Ricard-Blum, Sylvie, additional, Rønnow, S.R., additional, Sand, Jannie M.B., additional, Sardar, S., additional, Siebuhr, A.S., additional, Sinkeviciute, D., additional, Sparding, N., additional, Sun, S., additional, Szlarski, P.M., additional, Thorlacius-Ussing, J., additional, Thudium, Christian S., additional, Villesen, I.F., additional, White, Eric S., additional, and Willumsen, Nicholas, additional
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- 2024
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3. The fibroblast hormone Endotrophin is a biomarker of mortality in chronic diseases
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Genovese, Federica, Bager, Cecilie, Frederiksen, Peder, Vazquez, Dario, Sand, Jannie Marie Bülow, Jenkins, R Gisli, Maher, Toby M., Stewart, Iain D., Molyneaux, Philip L., Fahy, William A, Wain, Louise V., Vestbo, Jørgen, Nanthakumar, Carmel, Shaker, Saher Burhan, Hoyer, Nils, Leeming, Diana Julie, George, Jacob, Trebicka, Jonel, Rasmussen, Daniel Guldager Kring, Hansen, Michael K., Cockwell, Paul, Kremer, Daan, Bakker, Stephan JL, Selby, Nicholas M, Reese-Petersen, Alexander Lynge, González, Arantxa, Núñez, Julio, Rossing, Peter, Nissen, Neel I., Boisen, Mogens Karsbøl, Chen, Inna M., Zhao, Lei, Karsdal, Morten A., and Schuppan, Detlef
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- 2024
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4. Extracellular matrix turnover proteins as risk markers in people with type 2 diabetes and microalbuminuria
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Skriver-Møller, Anne-Cathrine, Møller, Alexandra L., Blond, Martin B., Rasmussen, Daniel G.K., Genovese, Federica, Reinhard, Henrik, von Scholten, Bernt J., Jacobsen, Peter K., Parving, Hans-Henrik, Karsdal, Morten A., Hansen, Tine W., and Rossing, Peter
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- 2024
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5. Collagen turnover is associated with cardiovascular autonomic and peripheral neuropathy in type 1 diabetes: novel pathophysiological mechanism?
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Hansen, Christian S., Rasmussen, Daniel G. K., Hansen, Tine W., Nielsen, Signe Holm, Theilade, Simone, Karsdal, Morten A., Genovese, Federica, and Rossing, Peter
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- 2023
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6. Urinary Endotrophin and Long-term Outcomes in Kidney Transplant Recipients
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Alkaff, Firas F., Kremer, Daan, Thaunat, Olivier, Berger, Stefan P., van den Born, Jacob, Genovese, Federica, Karsdal, Morten A., Bakker, Stephan J. L., Rasmussen, Daniel G. K., and Tepel, Martin
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- 2024
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7. Flavonoid intakes, chronic obstructive pulmonary disease, adult asthma, and lung function: a cohort study in the UK Biobank
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Bondonno, Nicola P, Parmenter, Benjamin H, Thompson, Alysha S, Jennings, Amy, Murray, Kevin, Rasmussen, Daniel Bech, Tresserra-Rimbau, Anna, Kühn, Tilman, and Cassidy, Aedín
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- 2024
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8. A Spike in Performance: Training Hybrid-Spiking Neural Networks with Quantized Activation Functions
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Voelker, Aaron R., Rasmussen, Daniel, and Eliasmith, Chris
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Computer Science - Machine Learning ,Quantitative Biology - Neurons and Cognition ,Statistics - Machine Learning - Abstract
The machine learning community has become increasingly interested in the energy efficiency of neural networks. The Spiking Neural Network (SNN) is a promising approach to energy-efficient computing, since its activation levels are quantized into temporally sparse, one-bit values (i.e., "spike" events), which additionally converts the sum over weight-activity products into a simple addition of weights (one weight for each spike). However, the goal of maintaining state-of-the-art (SotA) accuracy when converting a non-spiking network into an SNN has remained an elusive challenge, primarily due to spikes having only a single bit of precision. Adopting tools from signal processing, we cast neural activation functions as quantizers with temporally-diffused error, and then train networks while smoothly interpolating between the non-spiking and spiking regimes. We apply this technique to the Legendre Memory Unit (LMU) to obtain the first known example of a hybrid SNN outperforming SotA recurrent architectures -- including the LSTM, GRU, and NRU -- in accuracy, while reducing activities to at most 3.74 bits on average with 1.26 significant bits multiplying each weight. We discuss how these methods can significantly improve the energy efficiency of neural networks., Comment: 8 pages, 7 page supplementary
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- 2020
9. Performance of non-invasive tests and histology for the prediction of clinical outcomes in patients with non-alcoholic fatty liver disease: an individual participant data meta-analysis
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Anstee, Quentin M, Daly, Ann K, Govaere, Olivier, Cockell, Simon, Tiniakos, Dina, Bedossa, Pierre, Burt, Alastair, Oakley, Fiona, Cordell, Heather J, Day, Christopher P, Wonders, Kristy, Missier, Paolo, McTeer, Matthew, Vale, Luke, Oluboyede, Yemi, Breckons, Matt, Bossuyt, Patrick M, Zafarmand, Hadi, Vali, Yasaman, Lee, Jenny, Nieuwdorp, Max, Holleboom, Adriaan G, Verheij, Joanne, Ratziu, Vlad, Clément, Karine, Patino-Navarrete, Rafael, Pais, Raluca, Paradis, Valerie, Schuppan, Detlef, Schattenberg, Jörn M, Surabattula, Rambabu, Myneni, Sudha, Straub, Beate K, Vidal-Puig, Toni, Vacca, Michele, Rodrigues-Cuenca, Sergio, Allison, Mike, Kamzolas, Ioannis, Petsalaki, Evangelia, Campbell, Mark, Lelliott, Chris J, Davies, Susan, Orešič, Matej, Hyötyläinen, Tuulia, McGlinchey, Aiden, Mato, Jose M, Millet, Óscar, Dufour, Jean-François, Berzigotti, Annalisa, Masoodi, Mojgan, Pavlides, Michael, Harrison, Stephen, Neubauer, Stefan, Cobbold, Jeremy, Mozes, Ferenc, Akhtar, Salma, Olodo-Atitebi, Seliat, Banerjee, Rajarshi, Kelly, Matt, Shumbayawonda, Elizabeth, Dennis, Andrea, Andersson, Anneli, Wigley, Ioan, Romero-Gómez, Manuel, Gómez-González, Emilio, Ampuero, Javier, Castell, Javier, Gallego-Durán, Rocío, Fernández, Isabel, Montero-Vallejo, Rocío, Karsdal, Morten, Rasmussen, Daniel Guldager Kring, Leeming, Diana Julie, Sinisi, Antonia, Musa, Kishwar, Sandt, Estelle, Tonini, Manuela, Bugianesi, Elisabetta, Rosso, Chiara, Armandi, Angelo, Marra, Fabio, Gastaldelli, Amalia, Svegliati, Gianluca, Boursier, Jérôme, Francque, Sven, Vonghia, Luisa, Driessen, Ann, Ekstedt, Mattias, Kechagias, Stergios, Yki-Järvinen, Hannele, Porthan, Kimmo, Arola, Johanna, van Mil, Saskia, Papatheodoridis, George, Cortez-Pinto, Helena, Rodrigues, Cecilia M P, Valenti, Luca, Pelusi, Serena, Petta, Salvatore, Pennisi, Grazia, Miele, Luca, Geier, Andreas, Trautwein, Christian, Reißing, Johanna, Aithal, Guruprasad P, Francis, Susan, Palaniyappan, Naaventhan, Bradley, Christopher, Hockings, Paul, Schneider, Moritz, Newsome, Philip, Hübscher, Stefan, Wenn, David, Rosenquist, Christian, Trylesinski, Aldo, Mayo, Rebeca, Alonso, Cristina, Duffin, Kevin, Perfield, James W, Chen, Yu, Yunis, Carla, Tuthill, Theresa, Harrington, Magdalena Alicia, Miller, Melissa, Chen, Yan, McLeod, Euan James, Ross, Trenton, Bernardo, Barbara, Schölch, Corinna, Ertle, Judith, Younes, Ramy, Oldenburger, Anouk, Coxson, Harvey, Ostroff, Rachel, Alexander, Leigh, Biegel, Hannah, Kjær, Mette Skalshøi, Harder, Lea Mørch, Davidsen, Peter, Ellegaard, Jens, Balp, Maria-Magdalena, Brass, Clifford, Jennings, Lori, Martic, Miljen, Löffler, Jürgen, Applegate, Douglas, Shankar, Sudha, Torstenson, Richard, Lindén, Daniel, Fournier-Poizat, Céline, Llorca, Anne, Kalutkiewicz, Michael, Pepin, Kay, Ehman, Richard, Horan, Gerald, Ho, Gideon, Tai, Dean, Chng, Elaine, Patterson, Scott D, Billin, Andrew, Doward, Lynda, Twiss, James, Thakker, Paresh, Derdak, Zoltan, Landgren, Henrik, Lackner, Carolin, Gouw, Annette, Hytiroglou, Prodromos, Mózes, Ferenc E, Lee, Jenny A, Alzoubi, Osama, Staufer, Katharina, Trauner, Michael, Paternostro, Rafael, Stauber, Rudolf E, van Dijk, Anne-Marieke, Mak, Anne Linde, de Saint Loup, Marc, Shima, Toshihide, Gaia, Silvia, Shalimar, Lupșor-Platon, Monica, Wong, Vincent Wai-Sun, Li, Guanlin, Wong, Grace Lai-Hung, Karlas, Thomas, Wiegand, Johannes, Sebastiani, Giada, Tsochatzis, Emmanuel, Liguori, Antonio, Yoneda, Masato, Nakajima, Atsushi, Hagström, Hannes, Akbari, Camilla, Hirooka, Masashi, Chan, Wah-Kheong, Mahadeva, Sanjiv, Rajaram, Ruveena, Zheng, Ming-Hua, George, Jacob, Eslam, Mohammed, Viganò, Mauro, Ridolfo, Sofia, Aithal, Guruprasad Padur, Lee, Dae Ho, Nasr, Patrik, Cassinotto, Christophe, de Lédinghen, Victor, Mendoza, Yuly P, Noureddin, Mazen, Truong, Emily, and Harrison, Stephen A
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- 2023
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10. A serologically assessed neo-epitope biomarker of cellular fibronectin degradation is related to pulmonary fibrosis
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Hansen, Annika Hummersgaard, Breisnes, Helene Wallem, Prior, Thomas Skovhus, Hilberg, Ole, Rasmussen, Daniel Guldager Kring, Genovese, Federica, Lukassen, Marie Vestergaard, Svensson, Birte, Langholm, Lasse Løcke, Manon-Jensen, Tina, Karsdal, Morten Asser, Leeming, Diana Julie, Bendstrup, Elisabeth, and Sand, Jannie Marie Bülow
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- 2023
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11. NAFLD and NASH biomarker qualification in the LITMUS consortium – Lessons learned
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Rasmussen, Daniel Guldager Kring, Anstee, Quentin M., Torstenson, Richard, Golding, Bruno, Patterson, Scott D., Brass, Clifford, Thakker, Paresh, Harrison, Stephen, Billin, Andrew N., Schuppan, Detlef, Dufour, Jean-François, Andersson, Anneli, Wigley, Ioan, Shumbayawonda, Elizabeth, Dennis, Andrea, Schoelch, Corinna, Ratziu, Vlad, Yunis, Carla, Bossuyt, Patrick, and Karsdal, Morten Asser
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- 2023
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12. NengoDL: Combining deep learning and neuromorphic modelling methods
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Rasmussen, Daniel
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Computer Science - Neural and Evolutionary Computing ,Computer Science - Artificial Intelligence - Abstract
NengoDL is a software framework designed to combine the strengths of neuromorphic modelling and deep learning. NengoDL allows users to construct biologically detailed neural models, intermix those models with deep learning elements (such as convolutional networks), and then efficiently simulate those models in an easy-to-use, unified framework. In addition, NengoDL allows users to apply deep learning training methods to optimize the parameters of biological neural models. In this paper we present basic usage examples, benchmarking, and details on the key implementation elements of NengoDL. More details can be found at https://www.nengo.ai/nengo-dl ., Comment: 22 pages, 9 figures; v2 fixes a link in the metadata; v3 minor text updates and updating code snippets to 2.0 syntax
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- 2018
13. Endotrophin is a risk marker of complications in CANagliflozin cardioVascular Assessment Study (CANVAS): a randomized controlled trial
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Rasmussen, Daniel Guldager Kring, Hansen, Michael K., Blair, Joseph, Jatkoe, Timothy A., Neal, Bruce, Karsdal, Morten A., and Genovese, Federica
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- 2022
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14. Pretransplant endotrophin predicts delayed graft function after kidney transplantation
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Tepel, Martin, Alkaff, Firas F., Kremer, Daan, Bakker, Stephan J. L., Thaunat, Olivier, Nagarajah, Subagini, Saleh, Qais, Berger, Stefan P., van den Born, Jacob, Krogstrup, Nicoline V., Nielsen, Marie B., Nørregaard, Rikke, Jespersen, Bente, Sparding, Nadja, Genovese, Federica, Karsdal, Morten A., and Rasmussen, Daniel G. K.
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- 2022
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15. Increased serum miR-193a-5p during non-alcoholic fatty liver disease progression: Diagnostic and mechanistic relevance
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Clark, James, Cordell, Heather J., Darlay, Rebecca, Day, Christopher P., Hardy, Tim, Liu, Yang-Lin, Oakley, Fiona, Palmer, Jeremy, Queen, Rachel, Wonders, Kristy, Bossuyt, Patrick M., Holleboom, Adriaan G., Zafarmand, Hadi, Vali, Yasaman, Lee, Jenny, Clement, Karine, Pais, Raluca, Schuppan, Detlef, Allison, Michael, Cuenca, Sergio Rodriguez, Pellegrinelli, Vanessa, Vacca, Michele, Vidal-Puig, Antonio, Hyötyläinen, Tuulia, McGlinchey, Aidan, Orešič, Matej, Sen, Partho, Mato, Jose, Millet, Óscar, Dufour, Jean-Francois, Harrison, Stephen, Neubauer, Stefan, Pavlides, Michael, Mozes, Ferenc, Akhtar, Salma, Banerjee, Rajarshi, Kelly, Matt, Shumbayawonda, Elizabeth, Dennis, Andrea, Erpicum, Charlotte, Romero-Gomez, Manuel, Gallego-Durán, Rocío, Fernández, Isabel, Karsdal, Morten, Leeming, Diana, Fisker, Mette Juul, Erhardtsen, Elisabeth, Rasmussen, Daniel, Qvist, Per, Sinisi, Antonia, Sandt, Estelle, Tonini, Maria Manuela, Parola, Maurizio, Rosso, Chiara, Marra, Fabio, Gastaldelli, Amalia, Francque, Sven, Kechagias, Stergios, Yki-Järvinen, Hannele, Porthan, Kimmo, van Mil, Saskia, Papatheodoridis, George, Cortez-Pinto, Helena, Valenti, Luca, Petta, Salvatore, Miele, Luca, Geier, Andreas, Trautwein, Christian, Hockings, Paul, Newsome, Phil, Wenn, David, Pereira Rodrigues, Cecília Maria, Hanf, Rémy, Chaumat, Pierre, Rosenquist, Christian, Trylesinski, Aldo, Ortiz, Pablo, Duffin, Kevin, Yunis, Carla, Miller, Melissa, Tuthill, Theresa, Ertle, Judith, Younes, Ramy, Alexander, Leigh, Ostroff, Rachel, Kjær, Mette Skalshøi, Mikkelsen, Lars Friis, Brass, Clifford, Jennings, Lori, Balp, Maria-Magdalena, Martic, Miljen, Hanauer, Guido, Shankar, Sudha, Torstenson, Richard, Fournier, Céline, Ehman, Richard, Kalutkiewicz, Michael, Pepin, Kay, Myers, Joel, Shevell, Diane, Ho, Gideon, Landgren, Henrik, Myers, Rob, Doward, Lynda, Whalley, Diane, Twiss, James, Johnson, Katherine, Leary, Peter J., Govaere, Olivier, Barter, Matthew J., Charlton, Sarah H., Cockell, Simon J., Tiniakos, Dina, Zatorska, Michalina, Bedossa, Pierre, Brosnan, M. Julia, Cobbold, Jeremy F., Ekstedt, Mattias, Aithal, Guruprasad P., Clément, Karine, Schattenberg, Jörn M., Boursier, Jerome, Ratziu, Vlad, Bugianesi, Elisabetta, Anstee, Quentin M., and Daly, Ann K.
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- 2022
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16. Association of type III collagen turnover with cardiovascular outcomes and impact with canagliflozin in the CANVAS Program: A post hoc analysis.
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Rasmussen, Daniel G. K., Hansen, Michael K., Frederiksen, Peder, Luo, Yunyun, Pehrsson, Martin, Neal, Bruce, Karsdal, Morten A., and Genovese, Federica
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TYPE 2 diabetes , *TISSUE remodeling , *HEART failure , *CANAGLIFLOZIN ,CARDIOVASCULAR disease related mortality - Abstract
Aim: To investigate type III collagen (COL III) turnover in participants from the CANVAS Program biomarker substudy. Methods: Biomarkers of COL III formation (PRO‐C3) and COL III degradation fragments (C3M and CTX‐III) were assessed in baseline and year 3 plasma from patients enrolled in CANVAS, investigating the effect of canagliflozin in participants with type 2 diabetes. The clinical outcomes investigated in this study were hospitalization for heart failure, cardiovascular death and all‐cause mortality. Results: Higher levels of PRO‐C3 and C3M at baseline were associated with an increased incidence of all investigated outcomes, whereas levels of CTX‐III at baseline were not associated with any of the investigated outcomes. Levels of PRO‐C3 decreased and levels of CTX‐III increased following canagliflozin treatment. An increase from baseline to year 3 in PRO‐C3 in the placebo arm was associated with an increased incidence of cardiovascular outcomes, and in all participants was associated with an increased risk of all‐cause mortality. Conclusions: The changes in PRO‐C3 and CTX‐III reflect a shift in the dynamics of COL3 turnover following treatment with canagliflozin. These biomarkers are promising pharmacodynamic tools that can be used to monitor the impact of canagliflozin treatment and possibly other sodium‐glucose co‐transporter‐2 inhibitors on tissue remodelling in future interventional trials. [ABSTRACT FROM AUTHOR]
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- 2024
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17. Determining a healthy reference range and factors potentially influencing PRO-C3 – A biomarker of liver fibrosis
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Erhardtsen, Elisabeth, Rasmussen, Daniel G.K., Frederiksen, Peder, Leeming, Diana Julie, Shevell, Diane, Gluud, Lise Lotte, Karsdal, Morten Asser, Aithal, Guruprasad P., and Schattenberg, Jörn M.
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- 2021
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18. Silicon Photonics WDM Transceiver with SOA and Semiconductor Mode-Locked Laser
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Moscoso-Mártir, Alvaro, Müller, Juliana, Hauck, Johannes, Chimot, Nicolas, Setter, Rony, Badihi, Avner, Rasmussen, Daniel E., Garreau, Alexandre, Nielsen, Mads, Islamova, Elmira, Romero-García, Sebastián, Shen, Bin, Sandomirsky, Anna, Rockman, Sylvie, Li, Chao, Azadeh, Saeed Sharif, Lo, Guo-Qiang, Mentovich, Elad, Merget, Florian, Lelarge, François, and Witzens, Jeremy
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Physics - Optics - Abstract
We demonstrate a complete Silicon Photonics WDM link relying on a single section semiconductor mode-locked laser and a single SOA to support up to 12 multiplexed channels with a bit error rate of 1e-12 at serial data rates of 14 Gbps without channel pre-emphasis, equalization or forward error correction. Individual channels reach error free operation at 25 Gbps and multi-channel operation at 25 Gbps is shown to be compatible with standard 7% overhead hard decision forward error correction. Silicon Photonics transmitter and receiver chips are hybridly integrated with driver and receiver electronics. A detailed link model is derived and verified. Particular emphasis is placed on accurate system level modeling of laser RIN, SOA amplified spontaneous emission noise and receiver noise. The impact of the electrical receiver bandwidth and non-Gaussian statistics on level dependent amplified spontaneous emission noise are investigated in detail. The channel count scalability as limited by SOA saturation is further analyzed taking cross gain modulation and four wave mixing into account. While semiconductor mode-locked lasers have been identified as a potential light source for low cost Datacom WDM transceivers for some time, this is, to the best of our knowledge, the first comprehensive investigation of the overall link budget in a Silicon Photonics implementation showing this technology to be a credible contender for low latency datacenter interconnects.
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- 2016
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19. Extracellular matrix turnover proteins as risk markers in people with type 2 diabetes and microalbuminuria
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Skriver-Møller, Anne Cathrine, Møller, Alexandra L., Blond, Martin B., Rasmussen, Daniel G.K., Genovese, Federica, Reinhard, Henrik, von Scholten, Bernt J., Jacobsen, Peter K., Parving, Hans Henrik, Karsdal, Morten A., Hansen, Tine W., Rossing, Peter, Skriver-Møller, Anne Cathrine, Møller, Alexandra L., Blond, Martin B., Rasmussen, Daniel G.K., Genovese, Federica, Reinhard, Henrik, von Scholten, Bernt J., Jacobsen, Peter K., Parving, Hans Henrik, Karsdal, Morten A., Hansen, Tine W., and Rossing, Peter
- Abstract
Background This post-hoc study investigated whether biomarkers reflecting extracellular matrix (ECM) turnover predicted cardiovascular disease (CVD), mortality, and progression of diabetic kidney disease (DKD) in individuals with type 2 diabetes (T2D) and microalbuminuria. Methods Serum levels of specific ECM turnover biomarkers were assessed in 192 participants with T2D and microalbuminuria from an observational study conducted at Steno Diabetes Center Copenhagen from 2007 to 2008. Endpoints included CVD events, mortality, and DKD progression, defined as decline in estimated glomerular filtration rate (eGFR) of >30 %. Results Participants had a mean age of 59 years, with 75 % males. Over a median follow-up of 4.9 to 6.3 years, the study recorded 38 CVD events, 24 deaths, and 40 DKD events. Elevated levels of a degradation fragment of collagen type I (C1M) were associated with an increased risk of >30 % eGFR decline, although this association was not independent of other risk factors. No significant associations were found between other ECM turnover biomarkers and DKD progression, mortality, or CVD risk. Conclusion Elevated C1M levels were linked to DKD progression in individuals with T2D and microalbuminuria, but not independently of other risk factors. None of the ECM turnover biomarkers were associated with CVD or mortality., Background: This post-hoc study investigated whether biomarkers reflecting extracellular matrix (ECM) turnover predicted cardiovascular disease (CVD), mortality, and progression of diabetic kidney disease (DKD) in individuals with type 2 diabetes (T2D) and microalbuminuria. Methods: Serum levels of specific ECM turnover biomarkers were assessed in 192 participants with T2D and microalbuminuria from an observational study conducted at Steno Diabetes Center Copenhagen from 2007 to 2008. Endpoints included CVD events, mortality, and DKD progression, defined as decline in estimated glomerular filtration rate (eGFR) of >30 %. Results: Participants had a mean age of 59 years, with 75 % males. Over a median follow-up of 4.9 to 6.3 years, the study recorded 38 CVD events, 24 deaths, and 40 DKD events. Elevated levels of a degradation fragment of collagen type I (C1M) were associated with an increased risk of >30 % eGFR decline, although this association was not independent of other risk factors. No significant associations were found between other ECM turnover biomarkers and DKD progression, mortality, or CVD risk. Conclusion: Elevated C1M levels were linked to DKD progression in individuals with T2D and microalbuminuria, but not independently of other risk factors. None of the ECM turnover biomarkers were associated with CVD or mortality.
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- 2024
20. BKPyV DNAemia in Kidney Transplant Recipients Undergoing Regular Screening:A Single-Centre Cohort Study
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Rasmussen, Daniel B., Møller, Dina L., Hamm, Sebastian R., Borges, Álvaro H., Nielsen, Alex C.Y., Kirkby, Nikolai S., Sørensen, Søren S., Nielsen, Susanne D., Rasmussen, Daniel B., Møller, Dina L., Hamm, Sebastian R., Borges, Álvaro H., Nielsen, Alex C.Y., Kirkby, Nikolai S., Sørensen, Søren S., and Nielsen, Susanne D.
- Abstract
Infection with BK polyomavirus (BKPyV) is a common opportunistic infection after kidney transplantation (KT) and may affect graft function. We aimed to determine the incidence, risk factors, and clinical outcomes of BKPyV DNAemia in a prospective cohort of 601 KT recipients transplanted from 2012 to 2020. BKPyV PCR on plasma was performed at days 60, 90, 180, 270, and 360 post-KT. Any BKPyV DNAemia was defined as a single BKPyV DNA of ≥1000 copies/mL. Severe BKPyV DNAemia was defined as two consecutive BKPyV DNA of ≥10,000 copies/mL. Cumulative incidences were investigated using the Aalen–Johansen estimator, and the risk factors were investigated in Cox proportional hazard models. The incidence of any BKPyV DNAemia and severe BKPyV DNAemia was 21% (18–25) and 13% (10–16) at one year post-KT, respectively. Recipient age > 50 years (aHR, 1.72; 95% CI 1.00–2.94; p = 0.049), male sex (aHR, 1.96; 95% CI 1.17–3.29; p = 0.011), living donors (aHR, 1.65; 95% CI 1.03–2.74; p = 0.045), and >3 HLA-ABDR mismatches (aHR, 1.72; 95% CI 1.01–2.94; p = 0.046) increased the risk of severe BKPyV DNAemia. Any BKPyV DNAemia was associated with an increased risk of graft function decline (aHR, 2.26; 95% CI 1.00–5.12; p = 0.049), and severe BKPyV DNAemia was associated with an increased risk of graft loss (aHR, 3.18; 95% CI 1.06–9.58; p = 0.039). These findings highlight the importance of BKPyV monitoring post-KT.
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- 2024
21. Patient-Reported Outcome Measures in Patients with and without Non-Expandable Lung Secondary to Malignant Pleural Effusion—A Single-Centre Observational Study.
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Petersen, Jesper Koefod, Fjaellegaard, Katrine, Rasmussen, Daniel Bech, Alstrup, Gitte, Høegholm, Asbjørn, Sidhu, Jatinder Sing, Bhatnagar, Rahul, Clementsen, Paul Frost, Laursen, Christian B., and Bodtger, Uffe
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PLEURAL effusions ,PATIENT reported outcome measures ,SYMPTOM burden ,LUNGS ,SCIENTIFIC observation ,QUALITY of life - Abstract
Background: Malignant pleural effusion (MPE) affects up to 15% of patients with malignancy, and the prevalence is increasing. Non-expandable lung (NEL) complicates MPE in up to 30% of cases. However, it is not known if patients with malignant pleural effusion and NEL are more symptomatic in activities of daily living compared to patients with MPE with expandable lung. Methods: This was an observational study on consecutively recruited patients with MPE from our pleural clinic. Before thoracentesis, patients completed patient-reported outcomes on cancer symptoms (ESAS), health-related quality of life (5Q-5D-5L), and dyspnoea scores. Following thoracentesis, patients scored dyspnoea relief and symptoms during thoracentesis. Data on focused lung ultrasound and pleural effusion biochemistry were collected. The non-expandable lung diagnosis was made by pleural experts based on radiological and clinical information. Results: We recruited 43 patients, including 12 with NEL (28%). The NEL cohort resembled those from previous studies concerning ultrasonography, pleural fluid biochemistry, and fewer cases with high volume thoracentesis. Patients with and without NEL were comparable concerning baseline demography. The 5Q-5D-5L utility scores were 0.836 (0.691–0.906) and 0.806 (0.409–0.866), respectively, for patients with and without NEL. We observed no between-group differences in symptom burden or health-related quality of life. Conclusion: While the presence of NEL affects the clinical management of recurrent MPE, the presence of NEL seems not to affect patients' overall symptom burden in patients with MPE. [ABSTRACT FROM AUTHOR]
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- 2024
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22. Metoprolol Versus Carvedilol in Patients With Heart Failure, Chronic Obstructive Pulmonary Disease, Diabetes Mellitus, and Renal Failure
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Sessa, Maurizio, Rasmussen, Daniel Bech, Jensen, Magnus Thorsten, Kragholm, Kristian, Torp-Pedersen, Christian, and Andersen, Morten
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- 2020
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23. Ultrasound in the Diagnosis of Non-Expandable Lung: A Prospective Observational Study of M-Mode, B-Mode, and 2D-Shear Wave Elastography
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Petersen, Jesper Koefod, primary, Fjaellegaard, Katrine, additional, Rasmussen, Daniel B., additional, Alstrup, Gitte, additional, Høegholm, Asbjørn, additional, Sidhu, Jatinder Singh, additional, Sivapalan, Pradeesh, additional, Gerke, Oke, additional, Bhatnagar, Rahul, additional, Clementsen, Paul Frost, additional, Laursen, Christian B., additional, and Bodtger, Uffe, additional
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- 2024
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24. Erratum: Local Anesthetic Thoracoscopy for Undiagnosed Pleural Effusion
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Bodtger, Uffe, primary, Porcel, José M., additional, Bhatnagar, Rahul, additional, Maskell, Nick, additional, Munavvar, Mohammed, additional, Jensen, Casper, additional, Clementsen, Paul Frost, additional, and Rasmussen, Daniel Bech, additional
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- 2024
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25. Combination Therapy of RAS Inhibition and SGLT2 Inhibitors Decreases Levels of Endotrophin in Persons with Type 2 Diabetes
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Møller, Alexandra Louise, primary, Thöni, Stefanie, additional, Keller, Felix, additional, Sharifli, Samir, additional, Rasmussen, Daniel Guldager Kring, additional, Genovese, Federica, additional, Karsdal, Morten Asser, additional, and Mayer, Gert, additional
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- 2023
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26. Local Anesthetic Thoracoscopy for Undiagnosed Pleural Effusion
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Bodtger, Uffe, primary, Porcel, José M., additional, Bhatnagar, Rahul, additional, Munavvar, Mohammed, additional, Jensen, Casper, additional, Clementsen, Paul Frost, additional, and Rasmussen, Daniel Bech, additional
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- 2023
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27. PyIRoGlass: An Open-Source, Bayesian MCMC Algorithm for Fitting Baselines to FTIR Spectra of Basaltic-Andesitic Glasses
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Shi, Sarah, primary, Towbin, William, additional, Plank, Terry, additional, Barth, Anna, additional, Rasmussen, Daniel, additional, Moussallam, Yves, additional, Lee, Hyun Joo, additional, and Menke, William, additional
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- 2023
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28. Dual amylin and calcitonin receptor agonist treatment reduces biomarkers associated with kidney fibrosis in diabetic rats
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Melander, Simone Anna, primary, Møller, Alexandra Louise, additional, Mohamed, Khaled Elhady, additional, Rasmussen, Daniel Guldager Kring, additional, Genovese, Federica, additional, Karsdal, Morten Asser, additional, Henriksen, Kim, additional, and Larsen, Anna Thorsø, additional
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- 2023
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29. Fast, furious, and gassy: Etna's explosive eruption from the mantle
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Barth, Anna, Portnyagin, Maxim, Mironov, Nikita, Holtz, Francois, Moussallam, Yves, Rose-Koga, Estelle F., Rasmussen, Daniel, Towbin, Henry, Gonnermann, Helge, Mutch, Euan J.F., Rotolo, Silvio G., and Plank, Terry
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- 2024
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30. A neural model of hierarchical reinforcement learning
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Rasmussen, Daniel and Eliasmith, Chris
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- 2014
31. Endotrophin as a risk marker of mortality and kidney complications in a type 1 diabetes cohort
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Møller, Alexandra Louise, primary, Tougaard, Ninna Hahn, additional, Rasmussen, Daniel Guldager Kring, additional, Genovese, Federica, additional, Rønn, Pernille Falberg, additional, Hansen, Tine Willum, additional, Karsdal, Morten Asser, additional, and Rossing, Peter, additional
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- 2023
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32. A neural reinforcement learning model for tasks with unknown time delays
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Rasmussen, Daniel and Eliasmith, Chris
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- 2013
33. NengoDL: Combining Deep Learning and Neuromorphic Modelling Methods
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Rasmussen, Daniel
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- 2019
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34. A Neural Model of Rule Generation in Inductive Reasoning
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Rasmussen, Daniel and Eliasmith, Chris
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- 2010
35. Prediction of herpes virus infections after solid organ transplantation: a prospective study of immune function
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Møller, Dina Leth, primary, Sørensen, Søren Schwartz, additional, Rezahosseini, Omid, additional, Rasmussen, Daniel Bräuner, additional, Arentoft, Nicoline Stender, additional, Loft, Josefine Amalie, additional, Perch, Michael, additional, Gustafsson, Finn, additional, Lundgren, Jens, additional, Scheike, Thomas, additional, Knudsen, Jenny Dahl, additional, Ostrowski, Sisse Rye, additional, Rasmussen, Allan, additional, and Nielsen, Susanne Dam, additional
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- 2023
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36. Tracking carbon from subduction to outgassing along the Aleutian-Alaska Volcanic Arc
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Lopez, Taryn, primary, Fischer, Tobias P., additional, Plank, Terry, additional, Malinverno, Alberto, additional, Rizzo, Andrea L., additional, Rasmussen, Daniel J., additional, Cottrell, Elizabeth, additional, Werner, Cynthia, additional, Kern, Christoph, additional, Bergfeld, Deborah, additional, Ilanko, Tehnuka, additional, Andrys, Janine L., additional, and Kelley, Katherine A., additional
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- 2023
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37. #5482 CIRCULATING BIOMARKERS OF COLLAGEN REMODELING AS MARKERS FOR DEVELOPMENT OF MICROALBUMINURIA IN TYPE 2 DIABETES: THE PRIORITY TRIAL
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Møller, Alexandra Louise, primary, Curovic, Viktor Rotbain, additional, Rasmussen, Daniel G K, additional, Genovese, Federica, additional, Karsdal, Morten A, additional, Hansen, Tine, additional, and Rossing, Peter, additional
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- 2023
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38. Proactive Prophylaxis With Azithromycin and HydroxyChloroquine in Hospitalised Patients With COVID-19 (ProPAC-COVID): A structured summary of a study protocol for a randomised controlled trial
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Sivapalan, Pradeesh, Ulrik, Charlotte Suppli, Bojesen, Rasmus Dahlin, Lapperre, Therese Sophie, Eklöf, Josefin Viktoria, Håkansson, Kjell Erik Julius, Browatzki, Andrea, Tidemansen, Casper, Wilcke, Jon Torgny, Janner, Julie, Gottlieb, Vibeke, Meteran, Howraman, Porsbjerg, Celeste, Madsen, Birgitte Lindegaard, Moberg, Mia, Pedersen, Lars, Benfield, Thomas Lars, Lundgren, Jens Dilling, Knop, Filip Krag, Biering-Sørensen, Tor, Ghanizada, Muzhda, Sonne, Tine Peick, Bødtger, Uffe Christian Steinholtz, Jensen, Sidse Graff, Rasmussen, Daniel Bech, Brøndum, Eva, Tupper, Oliver Djurhuus, Sørensen, Susanne Wiemann, Alstrup, Gitte, Laursen, Christian Borbjerg, Møller, Ulla Weinrich, Sverrild, Asger, and Jensen, Jens-Ulrik Stæhr
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- 2020
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39. A Fragment of Collagen Type VI alpha-3 chain is Elevated in Serum from Patients with Gastrointestinal Disorders
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Holm Nielsen, Signe, Mortensen, Joachim Høg, Willumsen, Nicholas, Rasmussen, Daniel Guldager Kring, Mogensen, Ditte J., Di Sabatino, Antonio, Mazza, Giuseppe, Jørgensen, Lars Nannestad, Giuffrida, Paolo, Pinzani, Massimo, Klinge, Lone, Kjeldsen, Jens, Leeming, Diana Julie, Karsdal, Morten Asser, and Genovese, Federica
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- 2020
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40. BKPyV DNAemia in Kidney Transplant Recipients Undergoing Regular Screening: A Single-Centre Cohort Study.
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Rasmussen, Daniel B., Møller, Dina L., Hamm, Sebastian R., Borges, Álvaro H., Nielsen, Alex C. Y., Kirkby, Nikolai S., Sørensen, Søren S., and Nielsen, Susanne D.
- Subjects
KIDNEY transplantation ,KIDNEYS ,PROPORTIONAL hazards models ,MEDICAL screening ,OPPORTUNISTIC infections ,COHORT analysis - Abstract
Infection with BK polyomavirus (BKPyV) is a common opportunistic infection after kidney transplantation (KT) and may affect graft function. We aimed to determine the incidence, risk factors, and clinical outcomes of BKPyV DNAemia in a prospective cohort of 601 KT recipients transplanted from 2012 to 2020. BKPyV PCR on plasma was performed at days 60, 90, 180, 270, and 360 post-KT. Any BKPyV DNAemia was defined as a single BKPyV DNA of ≥1000 copies/mL. Severe BKPyV DNAemia was defined as two consecutive BKPyV DNA of ≥10,000 copies/mL. Cumulative incidences were investigated using the Aalen–Johansen estimator, and the risk factors were investigated in Cox proportional hazard models. The incidence of any BKPyV DNAemia and severe BKPyV DNAemia was 21% (18–25) and 13% (10–16) at one year post-KT, respectively. Recipient age > 50 years (aHR, 1.72; 95% CI 1.00–2.94; p = 0.049), male sex (aHR, 1.96; 95% CI 1.17–3.29; p = 0.011), living donors (aHR, 1.65; 95% CI 1.03–2.74; p = 0.045), and >3 HLA-ABDR mismatches (aHR, 1.72; 95% CI 1.01–2.94; p = 0.046) increased the risk of severe BKPyV DNAemia. Any BKPyV DNAemia was associated with an increased risk of graft function decline (aHR, 2.26; 95% CI 1.00–5.12; p = 0.049), and severe BKPyV DNAemia was associated with an increased risk of graft loss (aHR, 3.18; 95% CI 1.06–9.58; p = 0.039). These findings highlight the importance of BKPyV monitoring post-KT. [ABSTRACT FROM AUTHOR]
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- 2024
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41. Chapter 29 - Laminins
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Rasmussen, Daniel G.K., Miner, Jeffrey H., Alexdottir, Marta, and Karsdal, M.A.
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- 2024
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42. Marker for kidney fibrosis is associated with inflammation and deterioration of kidney function in people with type 2 diabetes and microalbuminuria
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Poulsen, Christina Gjerlev, primary, Rasmussen, Daniel G. K., additional, Genovese, Federica, additional, Hansen, Tine W., additional, Nielsen, Signe Holm, additional, Reinhard, Henrik, additional, von Scholten, Bernt Johan, additional, Jacobsen, Peter K., additional, Parving, Hans-Henrik, additional, Karsdal, Morten Asser, additional, Rossing, Peter, additional, and Frimodt-Møller, Marie, additional
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- 2023
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43. Prediction of Time to Next Therapeutic Thoracentesis and Identification of Risk Factors of Rapid Pleural Fluid Recurrence: A Prospective Observational Study
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Fjaellegaard, Katrine, primary, Petersen, Jesper Koefod, additional, Rasmussen, Daniel Beck, additional, Clementsen, Paul Frost, additional, Laursen, Christian B., additional, Bhatnagar, Rahul, additional, and Bodtger, Uffe, additional
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- 2023
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44. Local Anesthetic Thoracoscopy for Undiagnosed Pleural Effusion
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Bodtger, Uffe, Porcel, Jose M., Bhatnagar, Rahul, Munavvar, Mohammed, Jensen, Casper, Clementsen, Paul Frost, Rasmussen, Daniel Bech, Bodtger, Uffe, Porcel, Jose M., Bhatnagar, Rahul, Munavvar, Mohammed, Jensen, Casper, Clementsen, Paul Frost, and Rasmussen, Daniel Bech
- Abstract
Local anesthetic thoracoscopy (LAT) is a minimally invasive diagnostic procedure gaining recognition among chest physicians for managing undiagnosed pleural effusions. This single-port procedure is conducted with the patient under mild sedation and involves a contralateral decubitus position. It is performed in a sterile setting, typically a bronchoscopy suite or surgical theater, by a single operator with support from a procedure-focused nurse and a patient-focused nurse. The procedure begins with a thoracic ultrasound to determine the optimal entry point, usually in the IV-V intercostal space along the midaxillary line. Lidocaine/mepivacaine, with or without adrenaline, is used to anesthetize the skin, thoracic wall layers, and parietal pleura. A designated trocar and cannula are inserted through a 10 mm incision, reaching the pleural cavity with gentle rotation. The thoracoscope is introduced through the cannula for systematic inspection of the pleural cavity from the apex to the diaphragm. Biopsies (typically six to ten) of suspicious parietal pleura lesions are obtained for histopathological evaluation and, when necessary, microbiological analysis. Biopsies of the visceral pleura are generally avoided due to the risk of bleeding or air leaks. Talc poudrage may be performed before inserting a chest tube or indwelling pleural catheter through the cannula. The skin incision is sutured, and intrapleural air is removed using a three-compartment or digital chest drainage system. The chest tube is removed once there is no airflow, and the lung has satisfactorily re-expanded. Patients are usually discharged after 2-4 h of observation and followed up on an outpatient basis. Successful LAT relies on careful patient selection, preparation, and management, as well as operator education, to ensure safety and a high diagnostic yield.
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- 2023
45. Endotrophin as a risk marker of mortality and kidney complications in a type 1 diabetes cohort
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Møller, Alexandra Louise, Tougaard, Ninna Hahn, Rasmussen, Daniel Guldager Kring, Genovese, Federica, Rønn, Pernille Falberg, Hansen, Tine Willum, Karsdal, Morten Asser, Rossing, Peter, Møller, Alexandra Louise, Tougaard, Ninna Hahn, Rasmussen, Daniel Guldager Kring, Genovese, Federica, Rønn, Pernille Falberg, Hansen, Tine Willum, Karsdal, Morten Asser, and Rossing, Peter
- Abstract
Hyperglycemia triggers pathological pathways leading to fibrosis, where extracellular matrix (ECM) components are accumulated. We investigated the potential of endotrophin, a pro-fibrotic molecule generated during collagen type VI formation, as a risk marker for complications to type 1 diabetes. Endotrophin was measured in serum and urine from 1,468 persons with type 1 diabetes. Outcomes included a composite kidney endpoint, first major adverse cardiovascular event (MACE), all-cause mortality, progression of albuminuria, incident heart failure, and sight-threatening diabetic eye disease. Cox proportional hazards models adjusted for conventional risk factors were applied. A doubling of serum endotrophin was independently associated with the kidney endpoint (n = 30/1,462; hazard ratio 3.39 [95% CI: 1.98–5.82]), all-cause mortality (n = 93/1,468; 1.44 [1.03–2.0]), and progression of albuminuria (n = 80/1,359; 1.82 [1.32–2.52]), but not with first MACE, heart failure, or sight-threatening diabetic eye disease after adjustment. Urinary endotrophin was not associated with any outcome after adjustment. Serum endotrophin was a risk marker for mortality and kidney complications in type 1 diabetes. Biomarkers of ECM remodeling, such as serum endotrophin, may identify persons with active pro-fibrotic processes at risk for complications in diabetes and where antifibrotic agents may reduce this risk.
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- 2023
46. Collagen turnover is associated with cardiovascular autonomic and peripheral neuropathy in type 1 diabetes:novel pathophysiological mechanism?
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Hansen, Christian S., Rasmussen, Daniel G.K., Hansen, Tine W., Nielsen, Signe Holm, Theilade, Simone, Karsdal, Morten A., Genovese, Federica, Rossing, Peter, Hansen, Christian S., Rasmussen, Daniel G.K., Hansen, Tine W., Nielsen, Signe Holm, Theilade, Simone, Karsdal, Morten A., Genovese, Federica, and Rossing, Peter
- Abstract
Background: Diabetic cardiovascular autonomic neuropathy (CAN) and distal symmetrical polyneuropathy (DSPN) are severe diabetic complications. Collagen type VI (COL6) and III (COL3) have been associated with nerve function. We investigated if markers of COL6 formation (PRO-C6) and COL3 degradation (C3M) were associated with neuropathy in people with type 1 diabetes (T1D). Methods: In a cross-sectional study including 300 people with T1D, serum and urine PRO-C6 and C3M were obtained. CAN was assessed by cardiovascular reflex tests: heart rate response to deep breathing (E/I ratio), to standing (30/15 ratio) and to the Valsalva maneuver (VM). Two or three pathological CARTs constituted CAN. DSPN was assessed by biothesiometry. Symmetrical vibration sensation threshold above 25 V constituted DSPN. Results: Participants were (mean (SD)) 55.7 (9.3) years, 51% were males, diabetes duration was 40.0 (8.9) years, HbA1c was 63 (11 mmol/mol, (median (IQR)) serum PRO-C6 was 7.8 (6.2;11.0) ng/ml and C3M 8.3 (7.1;10.0) ng/ml. CAN and DSPN were diagnosed in 34% and 43% of participants, respectively. In models adjusted for relevant confounders a doubling of serum PRO-C6, was significantly associated with odds ratio > 2 for CAN and > 1 for DSPN, respectively. Significance was retained after additional adjustments for eGFR only for CAN. Higher serum C3M was associated with presence of CAN, but not after adjustment for eGFR. C3M was not associated with DSPN. Urine PRO-C6 analyses indicated similar associations. Conclusions: Results show previously undescribed associations between markers of collagen turnover and risk of CAN and to a lesser degree DSPN in T1D.
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- 2023
47. A serologically assessed neo-epitope biomarker of cellular fibronectin degradation is related to pulmonary fibrosis
- Author
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Hummersgaard Hansen, Annika, Wallem Breisnes, Helene, Skovhus Prior, Thomas, Hilberg, Ole, Guldager Kring Rasmussen, Daniel, Genovese, Federica, Vestergaard Lukassen, Marie, Svensson, Birte, Løcke Langholm, Lasse, Manon-Jensen, Tina, Asser Karsdal, Morten, Julie Leeming, Diana, Bendstrup, Elisabeth, Marie Bülow Sand, Jannie, Hummersgaard Hansen, Annika, Wallem Breisnes, Helene, Skovhus Prior, Thomas, Hilberg, Ole, Guldager Kring Rasmussen, Daniel, Genovese, Federica, Vestergaard Lukassen, Marie, Svensson, Birte, Løcke Langholm, Lasse, Manon-Jensen, Tina, Asser Karsdal, Morten, Julie Leeming, Diana, Bendstrup, Elisabeth, and Marie Bülow Sand, Jannie
- Abstract
Background: Idiopathic pulmonary fibrosis (IPF) is characterized by excessive extracellular matrix (ECM) remodeling, herein ECM degradation. Fibronectin (FN) is an important component of the ECM that is produced by multiple cell types, including fibroblasts. Extra domain B (EDB) is specific for a cellular FN isoform which is found in the ECM. We sought to develop a non-invasive test to investigate whether matrix metalloproteinase 8 (MMP-8) degradation of EDB in cellular FN results in a specific protein fragment that can be assessed serologically and if levels relate to pulmonary fibrosis. Method: Cellular FN was cleaved in vitro by MMP-8 and a protein fragment was identified by mass spectrometry. A monoclonal antibody (mAb) was generated, targeting a neo-epitope originating from EDB in cellular FN. Utilizing this mAb, a neo-epitope specific enzyme-linked immunosorbent assay (FN-EDB) was developed and technically validated. Serum FN-EDB was assessed in an IPF cohort (n = 98), registered at clinicaltrials.gov (NCT02818712), and in healthy controls (n = 35). Results: The FN-EDB assay had high specificity for the MMP-8 degraded neo-epitope and was technically robust. FN-EDB serum levels were not influenced by age, sex, ethnicity, or BMI. Moreover, FN-EDB serum levels were significantly higher in IPF patients (median 31.38 [IQR 25.79–46.84] ng/mL) as compared to healthy controls (median 28.05 [IQR 21.58–33.88] ng/mL, p = 0.023). Conclusion: We developed the neo-epitope specific FN-EDB assay, a competitive ELISA, as a tool for serological assessment of MMP-8 mediated degradation of EDB in cellular FN. This study indicates that degradation of EDB in cellular FN is elevated in IPF and warrants further investigation.
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- 2023
48. Machine learning algorithm improves the detection of NASH (NAS-based) and at-risk NASH: A development and validation study
- Author
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Jenny, Lee, Max, Westphal, Yasaman, Vali, Jerome, Boursier, Salvatorre, Petta, Rachel, Ostroff, Leigh, Alexander, Yu, Chen, Celine, Fournier, Andreas, Geier, Sven, Francque, Kristy, Wonder, Dina, Tiniako, Pierre, Bedossa, Mike, Allison, Georgios, Papatheodoridi, Helena, Cortez-Pinto, Raluca, Pai, Jean-Francois, Dufour, Diana Julie, Leeming, Stephen, Harrison, Jeremy, Cobbold, Adriaan G, Holleboom, Hannele, Yki-Järvinen, Javier, Crespo, Mattias, Ekstedt, Guruprasad P, Aithal, Elisabetta, Bugianesi, Manuel, Romero-Gomez, Richard, Torstenson, Morten, Karsdal, Carla, Yuni, Jörn M, Schattenberg, Detlef, Schuppan, Vlad, Ratziu, Clifford, Bra, Kevin, Duffin, Koos, Zwinderman, Michael, Pavlide, Quentin M, Anstee, Patrick M, Bossuyt, Anstee, Quentin M., Daly, Ann K., Govaere, Olivier, Cockell, Simon, Tiniakos, Dina, Bedossa, Pierre, Burt, Alastair, Oakley, Fiona, Cordell, Heather J., Day, Christopher P., Wonders, Kristy, Missier, Paolo, Mcteer, Matthew, Vale, Luke, Oluboyede, Yemi, Breckons, Matt, Bossuyt, Patrick M., Zafarmand, Hadi, Vali, Yasaman, Lee, Jenny, Nieuwdorp, Max, Holleboom, Adriaan G., Verheij, Joanne, Ratziu, Vlad, Clément, Karine, Patino-Navarrete, Rafael, Pais, Raluca, Paradis, Valerie, Schuppan, Detlef, Schattenberg, Jörn M., Surabattula, Rambabu, Myneni, Sudha, Straub, Beate K., Vidal-Puig, Toni, Vacca, Michele, Rodrigues-Cuenca, Sergio, Allison, Mike, Kamzolas, Ioanni, Petsalaki, Evangelia, Campbell, Mark, Lelliott, Chris J., Davies, Susan, Orešič, Matej, Hyötyläinen, Tuulia, Mcglinchey, Aiden, Mato, Jose M., Millet, Óscar, Dufour, Jean-Françoi, Berzigotti, Annalisa, Masoodi, Mojgan, Pavlides, Michael, Harrison, Stephen, Neubauer, Stefan, Cobbold, Jeremy, Mozes, Ferenc, Akhtar, Salma, Olodo-Atitebi, Seliat, Banerjee, Rajarshi, Kelly, Matt, Shumbayawonda, Elizabeth, Dennis, Andrea, Andersson, Anneli, Wigley, Ioan, Romero-Gómez, Manuel, Gómez-González, Emilio, Ampuero, Javier, Castell, Javier, Gallego-Durán, Rocío, Fernández, Isabel, Montero-Vallejo, Rocío, Karsdal, Morten, Guldager Kring Rasmussen, Daniel, Leeming, Diana Julie, Sinisi, Antonia, Musa, Kishwar, Sandt, Estelle, Tonini, Manuela, Bugianesi, Elisabetta, Rosso, Chiara, Armandi, Angelo, Marra, Fabio, Gastaldelli, Amalia, Svegliati, Gianluca, Boursier, Jérôme, Francque, Sven, Vonghia, Luisa, Driessen, Ann, Ekstedt, Mattia, Kechagias, Stergio, Yki-Järvinen, Hannele, Porthan, Kimmo, Arola, Johanna, van Mil, Saskia, Papatheodoridis, George, Cortez-Pinto, Helena, Rodrigues, Cecilia M. P., Valenti, Luca, Pelusi, Serena, Petta, Salvatore, Pennisi, Grazia, Miele, Luca, Geier, Andrea, Trautwein, Christian, Aithal, Guruprasad P., Francis, Susan, Hockings, Paul, Schneider, Moritz, Newsome, Philip, Hübscher, Stefan, Wenn, David, Rosenquist, Christian, Trylesinski, Aldo, Mayo, Rebeca, Alonso, Cristina, Duffin, Kevin, Perfield, James W., Chen, Yu, Yunis, Carla, Tuthill, Theresa, Harrington, Magdalena Alicia, Miller, Melissa, Chen, Yan, Mcleod, Euan Jame, Ross, Trenton, Bernardo, Barbara, Schölch, Corinna, Ertle, Judith, Younes, Ramy, Oldenburger, Anouk, Ostroff, Rachel, Alexander, Leigh, Biegel, Hannah, Skalshøi Kjær, Mette, Mørch Harder, Lea, Davidsen, Peter, Mikkelsen, Lars Frii, Balp, Maria-Magdalena, Brass, Clifford, Jennings, Lori, Martic, Miljen, Löffler, Jürgen, Applegate, Dougla, Shankar, Sudha, Torstenson, Richard, Fournier-Poizat, Céline, Llorca, Anne, Kalutkiewicz, Michael, Pepin, Kay, Ehman, Richard, Horan, Gerald, Ho, Gideon, Tai, Dean, Chng, Elaine, Patterson, Scott D., Billin, Andrew, Doward, Lynda, Twiss, Jame, Thakker, Paresh, Landgren, Henrik, Lackner, Carolin, Gouw, Annette, Hytiroglou, Prodromos, Luca, Miele (ORCID:0000-0003-3464-0068), Jenny, Lee, Max, Westphal, Yasaman, Vali, Jerome, Boursier, Salvatorre, Petta, Rachel, Ostroff, Leigh, Alexander, Yu, Chen, Celine, Fournier, Andreas, Geier, Sven, Francque, Kristy, Wonder, Dina, Tiniako, Pierre, Bedossa, Mike, Allison, Georgios, Papatheodoridi, Helena, Cortez-Pinto, Raluca, Pai, Jean-Francois, Dufour, Diana Julie, Leeming, Stephen, Harrison, Jeremy, Cobbold, Adriaan G, Holleboom, Hannele, Yki-Järvinen, Javier, Crespo, Mattias, Ekstedt, Guruprasad P, Aithal, Elisabetta, Bugianesi, Manuel, Romero-Gomez, Richard, Torstenson, Morten, Karsdal, Carla, Yuni, Jörn M, Schattenberg, Detlef, Schuppan, Vlad, Ratziu, Clifford, Bra, Kevin, Duffin, Koos, Zwinderman, Michael, Pavlide, Quentin M, Anstee, Patrick M, Bossuyt, Anstee, Quentin M., Daly, Ann K., Govaere, Olivier, Cockell, Simon, Tiniakos, Dina, Bedossa, Pierre, Burt, Alastair, Oakley, Fiona, Cordell, Heather J., Day, Christopher P., Wonders, Kristy, Missier, Paolo, Mcteer, Matthew, Vale, Luke, Oluboyede, Yemi, Breckons, Matt, Bossuyt, Patrick M., Zafarmand, Hadi, Vali, Yasaman, Lee, Jenny, Nieuwdorp, Max, Holleboom, Adriaan G., Verheij, Joanne, Ratziu, Vlad, Clément, Karine, Patino-Navarrete, Rafael, Pais, Raluca, Paradis, Valerie, Schuppan, Detlef, Schattenberg, Jörn M., Surabattula, Rambabu, Myneni, Sudha, Straub, Beate K., Vidal-Puig, Toni, Vacca, Michele, Rodrigues-Cuenca, Sergio, Allison, Mike, Kamzolas, Ioanni, Petsalaki, Evangelia, Campbell, Mark, Lelliott, Chris J., Davies, Susan, Orešič, Matej, Hyötyläinen, Tuulia, Mcglinchey, Aiden, Mato, Jose M., Millet, Óscar, Dufour, Jean-Françoi, Berzigotti, Annalisa, Masoodi, Mojgan, Pavlides, Michael, Harrison, Stephen, Neubauer, Stefan, Cobbold, Jeremy, Mozes, Ferenc, Akhtar, Salma, Olodo-Atitebi, Seliat, Banerjee, Rajarshi, Kelly, Matt, Shumbayawonda, Elizabeth, Dennis, Andrea, Andersson, Anneli, Wigley, Ioan, Romero-Gómez, Manuel, Gómez-González, Emilio, Ampuero, Javier, Castell, Javier, Gallego-Durán, Rocío, Fernández, Isabel, Montero-Vallejo, Rocío, Karsdal, Morten, Guldager Kring Rasmussen, Daniel, Leeming, Diana Julie, Sinisi, Antonia, Musa, Kishwar, Sandt, Estelle, Tonini, Manuela, Bugianesi, Elisabetta, Rosso, Chiara, Armandi, Angelo, Marra, Fabio, Gastaldelli, Amalia, Svegliati, Gianluca, Boursier, Jérôme, Francque, Sven, Vonghia, Luisa, Driessen, Ann, Ekstedt, Mattia, Kechagias, Stergio, Yki-Järvinen, Hannele, Porthan, Kimmo, Arola, Johanna, van Mil, Saskia, Papatheodoridis, George, Cortez-Pinto, Helena, Rodrigues, Cecilia M. P., Valenti, Luca, Pelusi, Serena, Petta, Salvatore, Pennisi, Grazia, Miele, Luca, Geier, Andrea, Trautwein, Christian, Aithal, Guruprasad P., Francis, Susan, Hockings, Paul, Schneider, Moritz, Newsome, Philip, Hübscher, Stefan, Wenn, David, Rosenquist, Christian, Trylesinski, Aldo, Mayo, Rebeca, Alonso, Cristina, Duffin, Kevin, Perfield, James W., Chen, Yu, Yunis, Carla, Tuthill, Theresa, Harrington, Magdalena Alicia, Miller, Melissa, Chen, Yan, Mcleod, Euan Jame, Ross, Trenton, Bernardo, Barbara, Schölch, Corinna, Ertle, Judith, Younes, Ramy, Oldenburger, Anouk, Ostroff, Rachel, Alexander, Leigh, Biegel, Hannah, Skalshøi Kjær, Mette, Mørch Harder, Lea, Davidsen, Peter, Mikkelsen, Lars Frii, Balp, Maria-Magdalena, Brass, Clifford, Jennings, Lori, Martic, Miljen, Löffler, Jürgen, Applegate, Dougla, Shankar, Sudha, Torstenson, Richard, Fournier-Poizat, Céline, Llorca, Anne, Kalutkiewicz, Michael, Pepin, Kay, Ehman, Richard, Horan, Gerald, Ho, Gideon, Tai, Dean, Chng, Elaine, Patterson, Scott D., Billin, Andrew, Doward, Lynda, Twiss, Jame, Thakker, Paresh, Landgren, Henrik, Lackner, Carolin, Gouw, Annette, Hytiroglou, Prodromos, and Luca, Miele (ORCID:0000-0003-3464-0068)
- Abstract
Background and aims: Detecting NASH remains challenging, while at-risk NASH (steatohepatitis and F≥ 2) tends to progress and is of interest for drug development and clinical application. We developed prediction models by supervised machine learning techniques, with clinical data and biomarkers to stage and grade patients with NAFLD. Approach and results: Learning data were collected in the Liver Investigation: Testing Marker Utility in Steatohepatitis metacohort (966 biopsy-proven NAFLD adults), staged and graded according to NASH CRN. Conditions of interest were the clinical trial definition of NASH (NAS ≥ 4;53%), at-risk NASH (NASH with F ≥ 2;35%), significant (F ≥ 2;47%), and advanced fibrosis (F ≥ 3;28%). Thirty-five predictors were included. Missing data were handled by multiple imputations. Data were randomly split into training/validation (75/25) sets. A gradient boosting machine was applied to develop 2 models for each condition: clinical versus extended (clinical and biomarkers). Two variants of the NASH and at-risk NASH models were constructed: direct and composite models.Clinical gradient boosting machine models for steatosis/inflammation/ballooning had AUCs of 0.94/0.79/0.72. There were no improvements when biomarkers were included. The direct NASH model produced AUCs (clinical/extended) of 0.61/0.65. The composite NASH model performed significantly better (0.71) for both variants. The composite at-risk NASH model had an AUC of 0.83 (clinical and extended), an improvement over the direct model. Significant fibrosis models had AUCs (clinical/extended) of 0.76/0.78. The extended advanced fibrosis model (0.86) performed significantly better than the clinical version (0.82). Conclusions: Detection of NASH and at-risk NASH can be improved by constructing independent machine learning models for each component, using only clinical predictors. Adding biomarkers only improved the accuracy of fibrosis.
- Published
- 2023
49. Marker for kidney fibrosis is associated with inflammation and deterioration of kidney function in people with type 2 diabetes and microalbuminuria
- Author
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Poulsen, Christina Gjerlev, Rasmussen, Daniel G.K., Genovese, Federica, Hansen, Tine W., Nielsen, Signe Holm, Reinhard, Henrik, von Scholten, Bernt Johan, Jacobsen, Peter K., Parving, Hans Henrik, Karsdal, Morten Asser, Rossing, Peter, Frimodt-Møller, Marie, Poulsen, Christina Gjerlev, Rasmussen, Daniel G.K., Genovese, Federica, Hansen, Tine W., Nielsen, Signe Holm, Reinhard, Henrik, von Scholten, Bernt Johan, Jacobsen, Peter K., Parving, Hans Henrik, Karsdal, Morten Asser, Rossing, Peter, and Frimodt-Møller, Marie
- Abstract
Background Diabetic kidney disease is a major cause of morbidity and mortality. Dysregulated turnover of collagen type III is associated with development of kidney fibrosis. We investigated whether a degradation product of collagen type III (C3M) was a risk marker for progression of chronic kidney disease (CKD), occurrence of cardiovascular disease (CVD), and mortality during follow up in people with type 2 diabetes (T2D) and microalbuminuria. Moreover, we investigated whether C3M was correlated with markers of inflammation and endothelial dysfunction at baseline. Methods C3M was measured in serum (sC3M) and urine (uC3M) in 200 participants with T2D and microalbuminuria included in an observational, prospective study at Steno Diabetes Center Copenhagen in Denmark from 2007-2008. Baseline measurements included 12 markers of sssinflammation and endothelial dysfunction. The endpoints were CVD, mortality, and CKD progression (>30% decline in eGFR). Results Mean (SD) age was 59 (9) years, eGFR 90 (17) ml/min/1.73m2 and median (IQR) urine albumin excretion rate 102 (39-229) mg/24-h. At baseline all markers for inflammation were positively correlated with sC3M (p≤0.034). Some, but not all, markers for endothelial dysfunction were correlated with C3M. Median follow-up ranged from 4.9 to 6.3 years. Higher sC3M was associated with CKD progression (with mortality as competing risk) with a hazard ratio (per doubling) of 2.98 (95% CI: 1.41-6.26; p = 0.004) adjusted for traditional risk factors. uC3M was not associated with CKD progression. Neither sC3M or uC3M were associated with risk of CVD or mortality. Conclusions Higher sC3M was a risk factor for chronic kidney disease progression and was correlated with markers of inflammation.
- Published
- 2023
50. Tracking carbon from subduction to outgassing along the Aleutian-Alaska Volcanic Arc
- Author
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Lopez, Taryn, Fischer, Tobias P., Plank, Terry, Malinverno, Alberto, Rizzo, Andrea L., Rasmussen, Daniel J., Cottrell, Elizabeth, Werner, Cynthia, Kern, Christoph, Bergfeld, Deborah, Ilanko, Tehnuka, Andrys, Janine L., Kelley, Katherine A., Lopez, Taryn, Fischer, Tobias P., Plank, Terry, Malinverno, Alberto, Rizzo, Andrea L., Rasmussen, Daniel J., Cottrell, Elizabeth, Werner, Cynthia, Kern, Christoph, Bergfeld, Deborah, Ilanko, Tehnuka, Andrys, Janine L., and Kelley, Katherine A.
- Abstract
Subduction transports volatiles between Earth’s mantle, crust, and atmosphere, ultimately creating a habitable Earth. We use isotopes to track carbon from subduction to outgassing along the Aleutian-Alaska Arc. We find substantial along-strike variations in the isotopic composition of volcanic gases, explained by different recycling efficiencies of subducting carbon to the atmosphere via arc volcanism and modulated by subduction character. Fast and cool subduction facilitates recycling of ~43 to 61% sediment-derived organic carbon to the atmosphere through degassing of central Aleutian volcanoes, while slow and warm subduction favors forearc sediment removal, leading to recycling of ~6 to 9% altered oceanic crust carbon to the atmosphere through degassing of western Aleutian volcanoes. These results indicate that less carbon is returned to the deep mantle than previously thought and that subducting organic carbon is not a reliable atmospheric carbon sink over subduction time scales.
- Published
- 2023
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