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1. Assessing the Impact of the COVID-19 Pandemic in Spain: Large-Scale, Online, Self-Reported Population Survey

Author

Oliver, Nuria, Barber, Xavier, Roomp, Kirsten, and Roomp, Kristof

Subjects
Computer applications to medicine. Medical informatics, R858-859.7, Public aspects of medicine, RA1-1270
Abstract

BackgroundSpain has been one of the countries most impacted by the COVID-19 pandemic. Since the first confirmed case was reported on January 31, 2020, there have been over 405,000 cases and 28,000 deaths in Spain. The economic and social impact is without precedent. Thus, it is important to quickly assess the situation and perception of the population. Large-scale online surveys have been shown to be an effective tool for this purpose. ObjectiveWe aim to assess the situation and perception of the Spanish population in four key areas related to the COVID-19 pandemic: social contact behavior during confinement, personal economic impact, labor situation, and health status. MethodsWe obtained a large sample using an online survey with 24 questions related to COVID-19 in the week of March 28-April 2, 2020, during the peak of the first wave of COVID-19 in Spain. The self-selection online survey method of nonprobability sampling was used to recruit 156,614 participants via social media posts that targeted the general adult population (age >18 years). Given such a large sample, the 95% CI was ±0.843 for all reported proportions. ResultsRegarding social behavior during confinement, participants mainly left their homes to satisfy basic needs. We found several statistically significant differences in social behavior across genders and age groups. The population’s willingness to comply with the confinement measures is evident. From the survey answers, we identified a significant adverse economic impact of the pandemic on those working in small businesses and a negative correlation between economic damage and willingness to stay in confinement. The survey revealed that close contacts play an important role in the transmission of the disease, and 28% of the participants lacked the necessary resources to properly isolate themselves. We also identified a significant lack of testing, with only 1% of the population tested and 6% of respondents unable to be tested despite their doctor’s recommendation. We developed a generalized linear model to identify the variables that were correlated with a positive SARS-CoV-2 test result. Using this model, we estimated an average of 5% for SARS-CoV-2 prevalence in the Spanish population during the time of the study. A seroprevalence study carried out later by the Spanish Ministry of Health reported a similar level of disease prevalence (5%). ConclusionsLarge-scale online population surveys, distributed via social media and online messaging platforms, can be an effective, cheap, and fast tool to assess the impact and prevalence of an infectious disease in the context of a pandemic, particularly when there is a scarcity of official data and limited testing capacity.

Published
2020
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2. Education as Risk Factor of Mild Cognitive Impairment: The Link to the Gut Microbiome

Author

Klee, Matthias, Aho, V. T. E., May, P., Heintz-Buschart, A., Landoulsi, Z., Jónsdóttir, S. R., Pauly, C., Pavelka, L., Delacour, L., Kaysen, A., Krüger, R., Wilmes, P., Leist, A. K., Acharya, Geeta, Aguayo, Gloria, Alexandre, Myriam, Ali, Muhammad, Ammerlann, Wim, Arena, Giuseppe, Bassis, Michele, Batutu, Roxane, Beaumont, Katy, Béchet, Sibylle, Berchem, Guy, Bisdorff, Alexandre, Boussaad, Ibrahim, Bouvier, David, Castillo, Lorieza, Contesotto, Gessica, De Bremaeker, Nancy, Dewitt, Brian, Diederich, Nico, Dondelinger, Rene, Ramia, Nancy E, Ferrari, Angelo, Frauenknecht, Katrin, Fritz, Joëlle, Gamio, Carlos, Gantenbein, Manon, Gawron, Piotr, Georges, Laura, Ghosh, Soumyabrata, Giraitis, Marijus, Glaab, Enrico, Goergen, Martine, Gómez De Lope, Elisa, Graas, Jérôme, Graziano, Mariella, Groues, Valentin, Grünewald, Anne, Hammot, Gaël, Hanff, Anne-Marie, Hansen, Linda, Heneka, Michael, Henry, Estelle, Henry, Margaux, Herbrink, Sylvia, Herzinger, Sascha, Hundt, Alexander, Jacoby, Nadine, Jónsdóttir, Sonja, Klucken, Jochen, Kofanova, Olga, Krüger, Rejko, Lambert, Pauline, Landoulsi, Zied, Lentz, Roseline, Longhino, Laura, Lopes, Ana Festas, Lorentz, Victoria, Marques, Tainá M., Marques, Guilherme, Martins Conde, Patricia, May, Patrick, Mcintyre, Deborah, Mediouni, Chouaib, Meisch, Francoise, Mendibide, Alexia, Menster, Myriam, Minelli, Maura, Mittelbronn, Michel, Mtimet, Saïda, Munsch, Maeva, Nati, Romain, Nehrbass, Ulf, Nickels, Sarah, Nicolai, Beatrice, Nicolay, Jean-Paul, Noor, Fozia, Gomes, Clarissa P. C., Pachchek, Sinthuja, Pauly, Claire, Pauly, Laure, Pavelka, Lukas, Perquin, Magali, Pexaras, Achilleas, Rauschenberger, Armin, Rawal, Rajesh, Reddy Bobbili, Dheeraj, Remark, Lucie, Richard, Ilsé, Roland, Olivia, Roomp, Kirsten, Rosales, Eduardo, Sapienza, Stefano, Satagopam, Venkata, Schmitz, Sabine, Schneider, Reinhard, Schwamborn, Jens, Severino, Raquel, Sharify, Amir, Soare, Ruxandra, Soboleva, Ekaterina, Sokolowska, Kate, Theresine, Maud, Thien, Hermann, Thiry, Elodie, Ting Jiin Loo, Rebecca, Trouet, Johanna, Tsurkalenko, Olena, Vaillant, Michel, Vega, Carlos, Vilas Boas, Liliana, Wilmes, Paul, Wollscheid-Lengeling, Evi, and Zelimkhanov, Gelani

Published
2024
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3. Levodopa-induced dyskinesia in Parkinson's disease: Insights from cross-cohort prognostic analysis using machine learning

Author

Acharya, Geeta, Aguayo, Gloria, Alexandre, Myriam, Ali, Muhammad, Ammerlann, Wim, Arena, Giuseppe, Bassis, Michele, Batutu, Roxane, Beaumont, Katy, Béchet, Sibylle, Berchem, Guy, Bisdorff, Alexandre, Boussaad, Ibrahim, Bouvier, David, Castillo, Lorieza, Contesotto, Gessica, DE Bremaeker, Nancy, Dewitt, Brian, Diederich, Nico, Dondelinger, Rene, Ramia, Nancy E., Ferrari, Angelo, Frauenknecht, Katrin, Fritz, Joëlle, Gamio, Carlos, Gantenbein, Manon, Gawron, Piotr, Georges, Laura, Ghosh, Soumyabrata, Giraitis, Marijus, Glaab, Enrico, Goergen, Martine, Gómez DE Lope, Elisa, Graas, Jérôme, Graziano, Mariella, Groues, Valentin, Grünewald, Anne, Hammot, Gaël, Anne-Marie, H.A.N.F.F., Hansen, Linda, Heneka, Michael, Henry, Estelle, Henry, Margaux, Herbrink, Sylvia, Herzinger, Sascha, Hundt, Alexander, Jacoby, Nadine, Jónsdóttir, Sonja, Klucken, Jochen, Kofanova, Olga, Krüger, Rejko, Lambert, Pauline, Landoulsi, Zied, Lentz, Roseline, Longhino, Laura, Lopes, Ana Festas, Lorentz, Victoria, Marques, Tainá M., Marques, Guilherme, Martins Conde, Patricia, Patrick, M.A.Y., Mcintyre, Deborah, Mediouni, Chouaib, Meisch, Francoise, Mendibide, Alexia, Menster, Myriam, Minelli, Maura, Mittelbronn, Michel, Mtimet, Saïda, Munsch, Maeva, Nati, Romain, Nehrbass, Ulf, Nickels, Sarah, Nicolai, Beatrice, Jean-Paul, N.I.C.O.L.A.Y., Noor, Fozia, Gomes, Clarissa P.C., Pachchek, Sinthuja, Pauly, Claire, Pauly, Laure, Pavelka, Lukas, Perquin, Magali, Pexaras, Achilleas, Rauschenberger, Armin, Rawal, Rajesh, Reddy Bobbili, Dheeraj, Remark, Lucie, Richard, Ilsé, Roland, Olivia, Roomp, Kirsten, Rosales, Eduardo, Sapienza, Stefano, Satagopam, Venkata, Schmitz, Sabine, Schneider, Reinhard, Schwamborn, Jens, Severino, Raquel, Sharify, Amir, Soare, Ruxandra, Soboleva, Ekaterina, Sokolowska, Kate, Theresine, Maud, Thien, Hermann, Thiry, Elodie, Ting Jiin Loo, Rebecca, Trouet, Johanna, Tsurkalenko, Olena, Vaillant, Michel, Vega, Carlos, Vilas Boas, Liliana, Wilmes, Paul, Wollscheid-Lengeling, Evi, Zelimkhanov, Gelani, Loo, Rebecca Ting Jiin, Mangone, Graziella, Khoury, Fouad, Vidailhet, Marie, and Corvol, Jean-Christophe

Published
2024
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4. The Covid19Impact Survey: Assessing the Pulse of the COVID-19 Pandemic in Spain via 24 questions

Author

Oliver, Nuria, Barber, Xavier, Roomp, Kirsten, and Roomp, Kristof

Subjects
Computer Science - Computers and Society
Abstract

In this paper, we describe the results of analyzing a large-scale survey, called the Covid19Impact survey, to assess citizens feedback on four areas related to the COVID-19 pandemic in Spain: social contact behavior, financial impact, working situation and health status. A total of 24 questions cover the areas of demographics, their home situation, social contact behavior, personal economic impact, their workplace situation and their health. The survey was responded to by 156,614 participants between the evening of March 28th and April 2nd, 2020. Such a large response enables us to gain new insights, as well as an unprecedented glimpse at respondents personal experiences and concerns during the current COVID-19 pandemic. From the analysis, we draw several implications for the design of public policies related to the management of the COVID-19 pandemic.

Published
2020
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7. Studies in children with obesity in two European treatment centres show a high prevalence of impaired glucose metabolism in the Swedish cohort

Author

Ciba, Iris, Dahlbom, Marie, Manell, Hannes, Mörwald, Katharina, Roomp, Kirsten, Weghuber, Daniel, Bergsten, Peter, Forslund, Anders, Ciba, Iris, Dahlbom, Marie, Manell, Hannes, Mörwald, Katharina, Roomp, Kirsten, Weghuber, Daniel, Bergsten, Peter, and Forslund, Anders

Abstract

Aim: To investigate the prevalence and possible risk factors for the development of impaired glucose metabolism in children and adolescents with obesity. Methods: This was a cross-sectional retrospective cohort study, including 634 patients with obesity and 98 normal weight controls aged 4-18 years from the Beta-cell function in Juvenile Diabetes and Obesity (Beta-JUDO) cohort, a dual-centre study at Uppsala University Hospital (Sweden) and Paracelsus Medical University Hospital (Salzburg, Austria) conducted between 2012 and 2021. A longitudinal subgroup analysis, including 188 of these subjects was performed. Impaired glucose metabolism was diagnosed by oral glucose tolerance tests according to American Diabetes Association criteria. Results: The prevalence of impaired glucose metabolism was 72% in Uppsala patients, 24% in Salzburg patients, 30% in Uppsala controls and 13% in Salzburg controls. The prevalence was lower at the follow-up visits compared with baseline both in Uppsala and Salzburg patients. A family history of type 2 diabetes showed the strongest association with impaired glucose metabolism at the follow-up visits besides belonging to the Uppsala cohort. Conclusion: The prevalence of impaired glucose metabolism was extraordinarily high in Swedish children and adolescents with obesity, but decreased during the follow-up period.

Published
2024
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8. Programme Dementia Prevention (pdp): A Nationwide Program for Personalized Prevention in Luxembourg

Author

Schröder, Valerie E., primary, Skrozic, Amna, additional, Erz, Dorothee, additional, Kaysen, Anne, additional, Fritz, Joëlle V., additional, Loureiro, Joao M., additional, McIntyre, Deborah, additional, Pauly, Laure, additional, Kemp, Jennifer, additional, Schmitz, Sabine K., additional, Wagner, Sophie, additional, Reyes, Margarita, additional, Soare, Ruxandra, additional, Satagopam, Venkata, additional, Vega, Carlos, additional, Gawron, Piotr, additional, Roomp, Kirsten, additional, Conde, Patricia Martins, additional, Klucken, Jochen, additional, Köhler, Sebastian, additional, Hartmann, Tobias, additional, Dodel, Richard, additional, Leist, Anja K., additional, Kalbe, Elke, additional, and Krüger, Rejko, additional

Published
2024
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11. Protocol for a multicentre cross-sectional, longitudinal ambulatory clinical trial in rheumatoid arthritis and Parkinson’s disease patients analysing the relation between the gut microbiome, fasting and immune status in Germany (ExpoBiome)

Author

Hansen, Bérénice, primary, Laczny, Cédric C, additional, Aho, Velma T E, additional, Frachet-Bour, Audrey, additional, Habier, Janine, additional, Ostaszewski, Marek, additional, Michalsen, Andreas, additional, Hanslian, Etienne, additional, Koppold, Daniela A, additional, Hartmann, Anika M, additional, Steckhan, Nico, additional, Mollenhauer, Brit, additional, Schade, Sebastian, additional, Roomp, Kirsten, additional, Schneider, Jochen G, additional, and Wilmes, Paul, additional

Published
2023
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13. Supplementary Figure 4 from Antagonizing Integrin β3 Increases Immunosuppression in Cancer

Author

Su, Xinming, primary, Esser, Alison K., primary, Amend, Sarah R., primary, Xiang, Jingyu, primary, Xu, Yalin, primary, Ross, Michael H., primary, Fox, Gregory C., primary, Kobayashi, Takayuki, primary, Steri, Veronica, primary, Roomp, Kirsten, primary, Fontana, Francesca, primary, Hurchla, Michelle A., primary, Knolhoff, Brett L., primary, Meyer, Melissa A., primary, Morgan, Elizabeth A., primary, Tomasson, Julia C., primary, Novack, Joshua S., primary, Zou, Wei, primary, Faccio, Roberta, primary, Novack, Deborah V., primary, Robinson, Stephen D., primary, Teitelbaum, Steven L., primary, DeNardo, David G., primary, Schneider, Jochen G., primary, and Weilbaecher, Katherine N., primary

Published
2023
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14. Supplementary Figure 6 from Antagonizing Integrin β3 Increases Immunosuppression in Cancer

Author

Su, Xinming, primary, Esser, Alison K., primary, Amend, Sarah R., primary, Xiang, Jingyu, primary, Xu, Yalin, primary, Ross, Michael H., primary, Fox, Gregory C., primary, Kobayashi, Takayuki, primary, Steri, Veronica, primary, Roomp, Kirsten, primary, Fontana, Francesca, primary, Hurchla, Michelle A., primary, Knolhoff, Brett L., primary, Meyer, Melissa A., primary, Morgan, Elizabeth A., primary, Tomasson, Julia C., primary, Novack, Joshua S., primary, Zou, Wei, primary, Faccio, Roberta, primary, Novack, Deborah V., primary, Robinson, Stephen D., primary, Teitelbaum, Steven L., primary, DeNardo, David G., primary, Schneider, Jochen G., primary, and Weilbaecher, Katherine N., primary

Published
2023
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15. Supplementary Figure 7 from Antagonizing Integrin β3 Increases Immunosuppression in Cancer

Author

Su, Xinming, primary, Esser, Alison K., primary, Amend, Sarah R., primary, Xiang, Jingyu, primary, Xu, Yalin, primary, Ross, Michael H., primary, Fox, Gregory C., primary, Kobayashi, Takayuki, primary, Steri, Veronica, primary, Roomp, Kirsten, primary, Fontana, Francesca, primary, Hurchla, Michelle A., primary, Knolhoff, Brett L., primary, Meyer, Melissa A., primary, Morgan, Elizabeth A., primary, Tomasson, Julia C., primary, Novack, Joshua S., primary, Zou, Wei, primary, Faccio, Roberta, primary, Novack, Deborah V., primary, Robinson, Stephen D., primary, Teitelbaum, Steven L., primary, DeNardo, David G., primary, Schneider, Jochen G., primary, and Weilbaecher, Katherine N., primary

Published
2023
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16. Supplementary Figure 5 from Antagonizing Integrin β3 Increases Immunosuppression in Cancer

Author

Su, Xinming, primary, Esser, Alison K., primary, Amend, Sarah R., primary, Xiang, Jingyu, primary, Xu, Yalin, primary, Ross, Michael H., primary, Fox, Gregory C., primary, Kobayashi, Takayuki, primary, Steri, Veronica, primary, Roomp, Kirsten, primary, Fontana, Francesca, primary, Hurchla, Michelle A., primary, Knolhoff, Brett L., primary, Meyer, Melissa A., primary, Morgan, Elizabeth A., primary, Tomasson, Julia C., primary, Novack, Joshua S., primary, Zou, Wei, primary, Faccio, Roberta, primary, Novack, Deborah V., primary, Robinson, Stephen D., primary, Teitelbaum, Steven L., primary, DeNardo, David G., primary, Schneider, Jochen G., primary, and Weilbaecher, Katherine N., primary

Published
2023
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17. Supplementary information from Antagonizing Integrin β3 Increases Immunosuppression in Cancer

Author

Su, Xinming, primary, Esser, Alison K., primary, Amend, Sarah R., primary, Xiang, Jingyu, primary, Xu, Yalin, primary, Ross, Michael H., primary, Fox, Gregory C., primary, Kobayashi, Takayuki, primary, Steri, Veronica, primary, Roomp, Kirsten, primary, Fontana, Francesca, primary, Hurchla, Michelle A., primary, Knolhoff, Brett L., primary, Meyer, Melissa A., primary, Morgan, Elizabeth A., primary, Tomasson, Julia C., primary, Novack, Joshua S., primary, Zou, Wei, primary, Faccio, Roberta, primary, Novack, Deborah V., primary, Robinson, Stephen D., primary, Teitelbaum, Steven L., primary, DeNardo, David G., primary, Schneider, Jochen G., primary, and Weilbaecher, Katherine N., primary

Published
2023
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18. Supplementary Figure 1 from Antagonizing Integrin β3 Increases Immunosuppression in Cancer

Author

Su, Xinming, primary, Esser, Alison K., primary, Amend, Sarah R., primary, Xiang, Jingyu, primary, Xu, Yalin, primary, Ross, Michael H., primary, Fox, Gregory C., primary, Kobayashi, Takayuki, primary, Steri, Veronica, primary, Roomp, Kirsten, primary, Fontana, Francesca, primary, Hurchla, Michelle A., primary, Knolhoff, Brett L., primary, Meyer, Melissa A., primary, Morgan, Elizabeth A., primary, Tomasson, Julia C., primary, Novack, Joshua S., primary, Zou, Wei, primary, Faccio, Roberta, primary, Novack, Deborah V., primary, Robinson, Stephen D., primary, Teitelbaum, Steven L., primary, DeNardo, David G., primary, Schneider, Jochen G., primary, and Weilbaecher, Katherine N., primary

Published
2023
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19. Data from Antagonizing Integrin β3 Increases Immunosuppression in Cancer

Author

Su, Xinming, primary, Esser, Alison K., primary, Amend, Sarah R., primary, Xiang, Jingyu, primary, Xu, Yalin, primary, Ross, Michael H., primary, Fox, Gregory C., primary, Kobayashi, Takayuki, primary, Steri, Veronica, primary, Roomp, Kirsten, primary, Fontana, Francesca, primary, Hurchla, Michelle A., primary, Knolhoff, Brett L., primary, Meyer, Melissa A., primary, Morgan, Elizabeth A., primary, Tomasson, Julia C., primary, Novack, Joshua S., primary, Zou, Wei, primary, Faccio, Roberta, primary, Novack, Deborah V., primary, Robinson, Stephen D., primary, Teitelbaum, Steven L., primary, DeNardo, David G., primary, Schneider, Jochen G., primary, and Weilbaecher, Katherine N., primary

Published
2023
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20. Supplementary Figure 3 from Antagonizing Integrin β3 Increases Immunosuppression in Cancer

Author

Su, Xinming, primary, Esser, Alison K., primary, Amend, Sarah R., primary, Xiang, Jingyu, primary, Xu, Yalin, primary, Ross, Michael H., primary, Fox, Gregory C., primary, Kobayashi, Takayuki, primary, Steri, Veronica, primary, Roomp, Kirsten, primary, Fontana, Francesca, primary, Hurchla, Michelle A., primary, Knolhoff, Brett L., primary, Meyer, Melissa A., primary, Morgan, Elizabeth A., primary, Tomasson, Julia C., primary, Novack, Joshua S., primary, Zou, Wei, primary, Faccio, Roberta, primary, Novack, Deborah V., primary, Robinson, Stephen D., primary, Teitelbaum, Steven L., primary, DeNardo, David G., primary, Schneider, Jochen G., primary, and Weilbaecher, Katherine N., primary

Published
2023
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21. Supplementary Table 2 from Antagonizing Integrin β3 Increases Immunosuppression in Cancer

Author

Su, Xinming, primary, Esser, Alison K., primary, Amend, Sarah R., primary, Xiang, Jingyu, primary, Xu, Yalin, primary, Ross, Michael H., primary, Fox, Gregory C., primary, Kobayashi, Takayuki, primary, Steri, Veronica, primary, Roomp, Kirsten, primary, Fontana, Francesca, primary, Hurchla, Michelle A., primary, Knolhoff, Brett L., primary, Meyer, Melissa A., primary, Morgan, Elizabeth A., primary, Tomasson, Julia C., primary, Novack, Joshua S., primary, Zou, Wei, primary, Faccio, Roberta, primary, Novack, Deborah V., primary, Robinson, Stephen D., primary, Teitelbaum, Steven L., primary, DeNardo, David G., primary, Schneider, Jochen G., primary, and Weilbaecher, Katherine N., primary

Published
2023
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22. Supplementary Table 3 from Antagonizing Integrin β3 Increases Immunosuppression in Cancer

Author

Su, Xinming, primary, Esser, Alison K., primary, Amend, Sarah R., primary, Xiang, Jingyu, primary, Xu, Yalin, primary, Ross, Michael H., primary, Fox, Gregory C., primary, Kobayashi, Takayuki, primary, Steri, Veronica, primary, Roomp, Kirsten, primary, Fontana, Francesca, primary, Hurchla, Michelle A., primary, Knolhoff, Brett L., primary, Meyer, Melissa A., primary, Morgan, Elizabeth A., primary, Tomasson, Julia C., primary, Novack, Joshua S., primary, Zou, Wei, primary, Faccio, Roberta, primary, Novack, Deborah V., primary, Robinson, Stephen D., primary, Teitelbaum, Steven L., primary, DeNardo, David G., primary, Schneider, Jochen G., primary, and Weilbaecher, Katherine N., primary

Published
2023
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23. Supplementary Table 4 from Antagonizing Integrin β3 Increases Immunosuppression in Cancer

Author

Su, Xinming, primary, Esser, Alison K., primary, Amend, Sarah R., primary, Xiang, Jingyu, primary, Xu, Yalin, primary, Ross, Michael H., primary, Fox, Gregory C., primary, Kobayashi, Takayuki, primary, Steri, Veronica, primary, Roomp, Kirsten, primary, Fontana, Francesca, primary, Hurchla, Michelle A., primary, Knolhoff, Brett L., primary, Meyer, Melissa A., primary, Morgan, Elizabeth A., primary, Tomasson, Julia C., primary, Novack, Joshua S., primary, Zou, Wei, primary, Faccio, Roberta, primary, Novack, Deborah V., primary, Robinson, Stephen D., primary, Teitelbaum, Steven L., primary, DeNardo, David G., primary, Schneider, Jochen G., primary, and Weilbaecher, Katherine N., primary

Published
2023
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24. Supplementary Figure 8 from Antagonizing Integrin β3 Increases Immunosuppression in Cancer

Author

Su, Xinming, primary, Esser, Alison K., primary, Amend, Sarah R., primary, Xiang, Jingyu, primary, Xu, Yalin, primary, Ross, Michael H., primary, Fox, Gregory C., primary, Kobayashi, Takayuki, primary, Steri, Veronica, primary, Roomp, Kirsten, primary, Fontana, Francesca, primary, Hurchla, Michelle A., primary, Knolhoff, Brett L., primary, Meyer, Melissa A., primary, Morgan, Elizabeth A., primary, Tomasson, Julia C., primary, Novack, Joshua S., primary, Zou, Wei, primary, Faccio, Roberta, primary, Novack, Deborah V., primary, Robinson, Stephen D., primary, Teitelbaum, Steven L., primary, DeNardo, David G., primary, Schneider, Jochen G., primary, and Weilbaecher, Katherine N., primary

Published
2023
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25. Supplementary Figure 2 from Antagonizing Integrin β3 Increases Immunosuppression in Cancer

Author

Su, Xinming, primary, Esser, Alison K., primary, Amend, Sarah R., primary, Xiang, Jingyu, primary, Xu, Yalin, primary, Ross, Michael H., primary, Fox, Gregory C., primary, Kobayashi, Takayuki, primary, Steri, Veronica, primary, Roomp, Kirsten, primary, Fontana, Francesca, primary, Hurchla, Michelle A., primary, Knolhoff, Brett L., primary, Meyer, Melissa A., primary, Morgan, Elizabeth A., primary, Tomasson, Julia C., primary, Novack, Joshua S., primary, Zou, Wei, primary, Faccio, Roberta, primary, Novack, Deborah V., primary, Robinson, Stephen D., primary, Teitelbaum, Steven L., primary, DeNardo, David G., primary, Schneider, Jochen G., primary, and Weilbaecher, Katherine N., primary

Published
2023
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26. Supplementary Figure 9 from Antagonizing Integrin β3 Increases Immunosuppression in Cancer

Author

Su, Xinming, primary, Esser, Alison K., primary, Amend, Sarah R., primary, Xiang, Jingyu, primary, Xu, Yalin, primary, Ross, Michael H., primary, Fox, Gregory C., primary, Kobayashi, Takayuki, primary, Steri, Veronica, primary, Roomp, Kirsten, primary, Fontana, Francesca, primary, Hurchla, Michelle A., primary, Knolhoff, Brett L., primary, Meyer, Melissa A., primary, Morgan, Elizabeth A., primary, Tomasson, Julia C., primary, Novack, Joshua S., primary, Zou, Wei, primary, Faccio, Roberta, primary, Novack, Deborah V., primary, Robinson, Stephen D., primary, Teitelbaum, Steven L., primary, DeNardo, David G., primary, Schneider, Jochen G., primary, and Weilbaecher, Katherine N., primary

Published
2023
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27. Supplementary Table 1 from Antagonizing Integrin β3 Increases Immunosuppression in Cancer

Author

Su, Xinming, primary, Esser, Alison K., primary, Amend, Sarah R., primary, Xiang, Jingyu, primary, Xu, Yalin, primary, Ross, Michael H., primary, Fox, Gregory C., primary, Kobayashi, Takayuki, primary, Steri, Veronica, primary, Roomp, Kirsten, primary, Fontana, Francesca, primary, Hurchla, Michelle A., primary, Knolhoff, Brett L., primary, Meyer, Melissa A., primary, Morgan, Elizabeth A., primary, Tomasson, Julia C., primary, Novack, Joshua S., primary, Zou, Wei, primary, Faccio, Roberta, primary, Novack, Deborah V., primary, Robinson, Stephen D., primary, Teitelbaum, Steven L., primary, DeNardo, David G., primary, Schneider, Jochen G., primary, and Weilbaecher, Katherine N., primary

Published
2023
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30. Arevir: A Secure Platform for Designing Personalized Antiretroviral Therapies Against HIV

Author

Roomp, Kirsten, Beerenwinkel, Niko, Sing, Tobias, Schülter, Eugen, Büch, Joachim, Sierra-Aragon, Saleta, Däumer, Martin, Hoffmann, Daniel, Kaiser, Rolf, Lengauer, Thomas, Selbig, Joachim, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Istrail, Sorin, editor, Pevzner, Pavel, editor, Waterman, Michael, editor, Leser, Ulf, editor, Naumann, Felix, editor, and Eckman, Barbara, editor

Published
2006
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32. Pancreatic Fat Is Associated With Metabolic Syndrome and Visceral Fat but Not Beta-Cell Function or Body Mass Index in Pediatric Obesity

Author

Staaf, Johan, Labmayr, Viktor, Paulmichl, Katharina, Manell, Hannes, Cen, Jing, Ciba, Iris, Dahlbom, Marie, Roomp, Kirsten, Anderwald, Christian-Heinz, Meissnitzer, Matthias, Schneider, Reinhard, Forslund, Anders, Widhalm, Kurt, Bergquist, Jonas, Ahlström, Håkan, Bergsten, Peter, Weghuber, Daniel, and Kullberg, Joel

Published
2017
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35. Osteocalcin Is Independently Associated with C-Reactive Protein during Lifestyle-Induced Weight Loss in Metabolic Syndrome

Author

Zimmermann, Silke, Costa, Maria Beatriz Walter, Mathew, Akash, Krishnan, Shruthi, Schneider, Jochen G., Roomp, Kirsten, Isermann, Berend, and Biemann, Ronald

Subjects
musculoskeletal diseases, lifestyle-induced weight loss, musculoskeletal, neural, and ocular physiology, ddc:540, osteocalcin, metabolic syndrome, Microbiology, Article, QR1-502
Abstract

Bone-derived osteocalcin has been suggested to be a metabolic regulator. To scrutinize the relation between osteocalcin and peripheral insulin sensitivity, we analyzed changes in serum osteocalcin relative to changes in insulin sensitivity, low-grade inflammation, and bone mineral density following lifestyle-induced weight loss in individuals with metabolic syndrome (MetS). Participants with MetS were randomized to a weight loss program or to a control group. Before and after the 6-month intervention period, clinical and laboratory parameters and serum osteocalcin levels were determined. Changes in body composition were analyzed by dual-energy X-ray absorptiometry (DXA). In participants of the intervention group, weight loss resulted in improved insulin sensitivity and amelioration of inflammation. Increased serum levels of osteocalcin correlated inversely with BMI (r = −0.63, p&lt, 0.001), total fat mass (r = −0.58, p &lt, 0.001), total lean mass (r = −0.45, p &lt, 0.001), C-reactive protein (CRP) (r = −0.37, p &lt, 0.01), insulin (r = −0.4, 0.001), leptin (r = −0.53, 0.001), triglycerides (r = −0.42, 0.001), and alanine aminotransferase (ALAT) (r = −0.52, 0.001). Regression analysis revealed that osteocalcin was independently associated with changes in CRP but not with changes in insulin concentration, fat mass, or bone mineral density, suggesting that weight loss-induced higher serum osteocalcin is primarily associated with reduced inflammation.

Published
2021

37. Evaluation of the Molecular Pathogenesis of Adrenocortical Tumors by Whole-Genome Sequencing

Author

Neininger, Kerstin, primary, May, Patrick, additional, Altieri, Barbara, additional, Lippert, Juliane L, additional, Roomp, Kirsten, additional, Dalmazi, Guido Di, additional, Canu, Letizia, additional, Ceccato, Filippo, additional, Riester, Anna, additional, Herterich, Sabine L, additional, Fassnacht, Martin, additional, Schneider, Jochen G, additional, and Ronchi, Cristina L, additional

Published
2021
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38. Gene expression profile of CD14+ blood monocytes following lifestyle-induced weight loss in individuals with metabolic syndrome

Author

Noor, Fozia, Biemann, Ronald, Roomp, Kirsten, Schneider, Jochen, and Isermann, B

Subjects
Endocrinology, metabolism & nutrition [D06] [Human health sciences], Endocrinologie, métabolisme & nutrition [D06] [Sciences de la santé humaine]
Abstract

Lifestyle-induced weight loss is regarded as an efficient therapy to reverse metabolic syndrome (MetS) and to prevent disease progression. The objective of this study was to investigate whether lifestyle-induced weight loss modulates gene expression in circulating monocytes. We analyzed and compared gene expression in monocytes (CD14+ cells) and subcutaneous adipose tissue biopsies by unbiased mRNA profiling. Samples were obtained before and after diet-induced weight loss in well-defined male individuals in a prospective controlled clinical trial (ICTRP Trial Number: U1111-1158-3672). The BMI declined significantly (- 12.6%) in the treatment arm (N = 39) during the 6-month weight loss intervention. This was associated with a significant reduction in hsCRP (- 45.84%) and circulating CD14+ cells (- 21.0%). Four genes were differentially expressed (DEG's) in CD14+ cells following weight loss (ZRANB1, RNF25, RB1CC1 and KMT2C). Comparative analyses of paired CD14+ monocytes and subcutaneous adipose tissue samples before and after weight loss did not identify common genes differentially regulated in both sample types. Lifestyle-induced weight loss is associated with specific changes in gene expression in circulating CD14+ monocytes, which may affect ubiquitination, histone methylation and autophagy

Published
2020

40. GISAID - a global initiative on sharing all influenza data

Author

Büch, Joachim, Roomp, Kirsten, Bach, Gunter, Steinbrück, Lars, Beer, Martin, Gregory, Victoria, Komadina, Naomi, Lan, Yu, Monne, Isabella, Smith, Catherine, Fujisaki, Seiichiro, Bognerj, Peter, and Lengauer, Thomas

Published
2011

41. Serum Ferritin Correlates With Liver Fat in Male Adolescents With Obesity

Author

Mörwald, Katharina, primary, Aigner, Elmar, additional, Bergsten, Peter, additional, Brunner, Susanne M., additional, Forslund, Anders, additional, Kullberg, Joel, additional, Ahlström, Hakan, additional, Manell, Hannes, additional, Roomp, Kirsten, additional, Schütz, Sebastian, additional, Zsoldos, Fanni, additional, Renner, Wilfried, additional, Furthner, Dieter, additional, Maruszczak, Katharina, additional, Zandanell, Stephan, additional, Weghuber, Daniel, additional, and Mangge, Harald, additional

Published
2020
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43. Serum Ferritin Correlates With Liver Fat in Male Adolescents With Obesity.

Author

Mörwald, Katharina, Aigner, Elmar, Bergsten, Peter, Brunner, Susanne M, Forslund, Anders, Kullberg, Joel, Ahlström, Håkan, Manell, Hannes, Roomp, Kirsten, Schütz, Sebastian, Zsoldos, Fanni, Renner, Wilfried, Furthner, Dieter, Maruszczak, Katharina, Zandanell, Stephan, Weghuber, Daniel, Mangge, Harald, Mörwald, Katharina, Aigner, Elmar, Bergsten, Peter, Brunner, Susanne M, Forslund, Anders, Kullberg, Joel, Ahlström, Håkan, Manell, Hannes, Roomp, Kirsten, Schütz, Sebastian, Zsoldos, Fanni, Renner, Wilfried, Furthner, Dieter, Maruszczak, Katharina, Zandanell, Stephan, Weghuber, Daniel, and Mangge, Harald

Abstract

Non-alcoholic fatty liver disease (NAFLD) contributes essentially to the burden of obesity and can start in childhood. NAFLD can progress to cirrhosis and hepatocellular carcinoma. The early phase of NAFLD is crucial because during this time the disease is fully reversible. Pediatric NAFLD shows unique features of histology and pathophysiology compared to adults. Changes in serum iron parameters are common in adult NAFLD and have been termed dysmetabolic iron overload syndrome characterized by increased serum ferritin levels and normal transferrin saturation; however, the associations of serum ferritin, inflammation, and liver fat content have been incompletely investigated in children. As magnetic resonance imaging (MRI) is an excellent measure for the degree of liver steatosis, we applied this method herein to clarify the interaction between ferritin and fatty liver in male adolescents. For this study, one hundred fifty male pediatric patients with obesity and who are overweight were included. We studied a subgroup of male patients with (n = 44) and without (n = 18) NAFLD in whom we determined liver fat content, visceral adipose tissue, and subcutaneous adipose tissue extent with a 1.5T MRI (Philips NL). All patients underwent a standardized oral glucose tolerance test. We measured uric acid, triglycerides, HDL-, LDL-, total cholesterol, liver transaminases, high sensitive CRP (hsCRP), interleukin-6, HbA1c, and insulin. In univariate analysis, ferritin was associated with MRI liver fat, visceral adipose tissue content, hsCRP, AST, ALT, and GGT, while transferrin and soluble transferrin receptor were not associated with ferritin. Multivariate analysis identified hsCRP and liver fat content as independent predictors of serum ferritin in the pediatric male patients. Our data indicate that serum ferritin in male adolescents with obesity is mainly determined by liver fat content and inflammation but not by body iron status.

Published
2020
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45. Age and residual cholesterol efflux affect HDL cholesterol levels and coronary artery disease in ABCA1 heterozygotes

Author

Clee, Susanne M., Kastelein, John J.P., van Dam, Marjel, Marcil, Michel, Roomp, Kirsten, Zwarts, Karin Y., Collins, Jennifer A., Roelants, Roosje, Tamasawa, Naoki, Stulc, Tomás, Suda, Toshihiro, Ceska, Richard, Boucher, Betsie, Rondeau, Colette, DeSouich, Christele, Brooks-Wilson, Angela, Molhuizen, Henri O.F., Frohlich, Jiri, Genest, Jacques, Jr., and Hayden, Michael R.

Published
2000

46. Mutations in the ABC1 gene in familial HDL deficiency with defective cholesterol efflux

Author

Marcil, Michel, Brooks-Wilson, Angela, Clee, Susanne M, Roomp, Kirsten, Zhang, Lin-Hua, Yu, Lu, Collins, Jennifer A, van Dam, Marjel, Molhuizen, Henri O F, Loubster, Odell, Ouellette, B F Francis, Sensen, Christoph W, Fichter, Keith, Mott, Stephanie, Denis, Maxime, Boucher, Betsie, Pimstone, Simon, Genest, Jacques, Jr, Kastelein, John J P, and Hayden, Michael R

Published
1999

47. Covid19Impact Survey

Author

Oliver, Nuria, primary, Barber, Xavier, additional, Roomp, Kirsten, additional, and Roomp, Kristof, additional

Published
2020
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48. Truncation mutations in ABCA1 suppress normal upregulation of full-length ABCA1 by 9-cis-retinoic acid and 22-R-hydroxycholesterol

Author

Wellington, Cheryl L., Yang, Yu-Zhou, Zhou, Stephen, Clee, Susanne M., Tan, Bing, Hirano, Kenichi, Zwarts, Karin, Kwok, Anita, Gelfer, Allison, Marcil, Michel, Newman, Scott, Roomp, Kirsten, Singaraja, Roshni, Collins, Jennifer, Zhang, Lin-Hua, Groen, Albert K., Hovingh, Kees, Brownlie, Alison, Tafuri, Sherrie, Genest, Jacques, Jr., Kastelein, John J.P., and Hayden, Michael R.

Published
2002
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49. Predicting MHC class I epitopes in large datasets

Author

Lengauer Thomas, Antes Iris, and Roomp Kirsten

Subjects
Computer applications to medicine. Medical informatics, R858-859.7, Biology (General), QH301-705.5
Abstract

Abstract Background Experimental screening of large sets of peptides with respect to their MHC binding capabilities is still very demanding due to the large number of possible peptide sequences and the extensive polymorphism of the MHC proteins. Therefore, there is significant interest in the development of computational methods for predicting the binding capability of peptides to MHC molecules, as a first step towards selecting peptides for actual screening. Results We have examined the performance of four diverse MHC Class I prediction methods on comparatively large HLA-A and HLA-B allele peptide binding datasets extracted from the Immune Epitope Database and Analysis resource (IEDB). The chosen methods span a representative cross-section of available methodology for MHC binding predictions. Until the development of IEDB, such an analysis was not possible, as the available peptide sequence datasets were small and spread out over many separate efforts. We tested three datasets which differ in the IC50 cutoff criteria used to select the binders and non-binders. The best performance was achieved when predictions were performed on the dataset consisting only of strong binders (IC50 less than 10 nM) and clear non-binders (IC50 greater than 10,000 nM). In addition, robustness of the predictions was only achieved for alleles that were represented with a sufficiently large (greater than 200), balanced set of binders and non-binders. Conclusions All four methods show good to excellent performance on the comprehensive datasets, with the artificial neural networks based method outperforming the other methods. However, all methods show pronounced difficulties in correctly categorizing intermediate binders.

Published
2010
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50. Expression and Functional Analyses of Novel Mutations of ATP-Binding Cassette Transporter-1 in Japanese Patients with High-Density Lipoprotein Deficiency

Author

Nishida, Yoshiharu, Hirano, Ken-ichi, Tsukamoto, Kosuke, Nagano, Makoto, Ikegami, Chiaki, Roomp, Kirsten, Ishihara, Mitsuaki, Sakane, Naoki, Zhang, Zhongyan, Tsujii, Ken-ichi, Matsuyama, Akifumi, Ohama, Tohru, Matsuura, Fumihiko, Ishigami, Masato, Sakai, Naohiko, Hiraoka, Hisatoyo, Hattori, Hiroaki, Wellington, Cheryl, Yoshida, Yoshihide, Misugi, Susumu, Hayden, Michael R., Egashira, Toru, Yamashita, Shizuya, and Matsuzawa, Yuji

Published
2002
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