227 results on '"Jennings, Lori"'
Search Results
2. Proteomic associations with forced expiratory volume: a Mendelian randomisation study
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Axelsson, Gisli Thor, Jonmundsson, Thorarinn, Woo, Youngjae, Frick, Elisabet Alexandra, Aspelund, Thor, Loureiro, Joseph J., Orth, Anthony P., Jennings, Lori L., Gudmundsson, Gunnar, Emilsson, Valur, Gudmundsdottir, Valborg, and Gudnason, Vilmundur
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- 2024
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3. Identification of circulating proteins associated with general cognitive function among middle-aged and older adults
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Tin, Adrienne, Fohner, Alison E, Yang, Qiong, Brody, Jennifer A, Davies, Gail, Yao, Jie, Liu, Dan, Caro, Ilana, Lindbohm, Joni V, Duggan, Michael R, Meirelles, Osorio, Harris, Sarah E, Gudmundsdottir, Valborg, Taylor, Adele M, Henry, Albert, Beiser, Alexa S, Shojaie, Ali, Coors, Annabell, Fitzpatrick, Annette L, Langenberg, Claudia, Satizabal, Claudia L, Sitlani, Colleen M, Wheeler, Eleanor, Tucker-Drob, Elliot M, Bressler, Jan, Coresh, Josef, Bis, Joshua C, Candia, Julián, Jennings, Lori L, Pietzner, Maik, Lathrop, Mark, Lopez, Oscar L, Redmond, Paul, Gerszten, Robert E, Rich, Stephen S, Heckbert, Susan R, Austin, Thomas R, Hughes, Timothy M, Tanaka, Toshiko, Emilsson, Valur, Vasan, Ramachandran S, Guo, Xiuqing, Zhu, Yineng, Tzourio, Christophe, Rotter, Jerome I, Walker, Keenan A, Ferrucci, Luigi, Kivimäki, Mika, Breteler, Monique MB, Cox, Simon R, Debette, Stephanie, Mosley, Thomas H, Gudnason, Vilmundur G, Launer, Lenore J, Psaty, Bruce M, Seshadri, Sudha, and Fornage, Myriam
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Biochemistry and Cell Biology ,Biological Sciences ,Brain Disorders ,Dementia ,Neurodegenerative ,Acquired Cognitive Impairment ,Aging ,Alzheimer's Disease ,Clinical Research ,Neurosciences ,Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD) ,Aetiology ,2.1 Biological and endogenous factors ,Neurological ,Middle Aged ,Humans ,Aged ,Alzheimer Disease ,Cognition ,Cognitive Dysfunction ,Neurons ,Biomarkers ,Biological sciences ,Biomedical and clinical sciences - Abstract
Identifying circulating proteins associated with cognitive function may point to biomarkers and molecular process of cognitive impairment. Few studies have investigated the association between circulating proteins and cognitive function. We identify 246 protein measures quantified by the SomaScan assay as associated with cognitive function (p
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- 2023
4. Identification of biomarkers for glycaemic deterioration in type 2 diabetes
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Slieker, Roderick C., Donnelly, Louise A., Akalestou, Elina, Lopez-Noriega, Livia, Melhem, Rana, Güneş, Ayşim, Abou Azar, Frederic, Efanov, Alexander, Georgiadou, Eleni, Muniangi-Muhitu, Hermine, Sheikh, Mahsa, Giordano, Giuseppe N., Åkerlund, Mikael, Ahlqvist, Emma, Ali, Ashfaq, Banasik, Karina, Brunak, Søren, Barovic, Marko, Bouland, Gerard A., Burdet, Frédéric, Canouil, Mickaël, Dragan, Iulian, Elders, Petra J. M., Fernandez, Celine, Festa, Andreas, Fitipaldi, Hugo, Froguel, Phillippe, Gudmundsdottir, Valborg, Gudnason, Vilmundur, Gerl, Mathias J., van der Heijden, Amber A., Jennings, Lori L., Hansen, Michael K., Kim, Min, Leclerc, Isabelle, Klose, Christian, Kuznetsov, Dmitry, Mansour Aly, Dina, Mehl, Florence, Marek, Diana, Melander, Olle, Niknejad, Anne, Ottosson, Filip, Pavo, Imre, Duffin, Kevin, Syed, Samreen K., Shaw, Janice L., Cabrera, Over, Pullen, Timothy J., Simons, Kai, Solimena, Michele, Suvitaival, Tommi, Wretlind, Asger, Rossing, Peter, Lyssenko, Valeriya, Legido Quigley, Cristina, Groop, Leif, Thorens, Bernard, Franks, Paul W., Lim, Gareth E., Estall, Jennifer, Ibberson, Mark, Beulens, Joline W. J., ’t Hart, Leen M, Pearson, Ewan R., and Rutter, Guy A.
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- 2023
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5. Large-scale plasma proteomic analysis identifies proteins and pathways associated with dementia risk
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Walker, Keenan A, Chen, Jingsha, Zhang, Jingning, Fornage, Myriam, Yang, Yunju, Zhou, Linda, Grams, Morgan E, Tin, Adrienne, Daya, Natalie, Hoogeveen, Ron C, Wu, Aozhou, Sullivan, Kevin J, Ganz, Peter, Zeger, Scott L, Gudmundsson, Elias F, Emilsson, Valur, Launer, Lenore J, Jennings, Lori L, Gudnason, Vilmundur, Chatterjee, Nilanjan, Gottesman, Rebecca F, Mosley, Thomas H, Boerwinkle, Eric, Ballantyne, Christie M, and Coresh, Josef
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Biomedical and Clinical Sciences ,Clinical Sciences ,Acquired Cognitive Impairment ,Neurodegenerative ,Prevention ,Dementia ,Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD) ,Aging ,Clinical Research ,Brain Disorders ,Biotechnology ,Neurosciences ,Alzheimer's Disease ,Aetiology ,2.1 Biological and endogenous factors ,Neurological ,Humans ,Aged ,Proteomics ,Alzheimer Disease ,Brain ,Proteome ,Clinical sciences - Abstract
The plasma proteomic changes that precede the onset of dementia could yield insights into disease biology and highlight new biomarkers and avenues for intervention. We quantified 4,877 plasma proteins in nondemented older adults in the Atherosclerosis Risk in Communities cohort and performed a proteome-wide association study of dementia risk over five years (n = 4,110; 428 incident cases). Thirty-eight proteins were associated with incident dementia after Bonferroni correction. Of these, 16 were also associated with late-life dementia risk when measured in plasma collected nearly 20 years earlier, during mid-life. Two-sample Mendelian randomization causally implicated two dementia-associated proteins (SVEP1 and angiostatin) in Alzheimer's disease. SVEP1, an immunologically relevant cellular adhesion protein, was found to be part of larger dementia-associated protein networks, and circulating levels were associated with atrophy in brain regions vulnerable to Alzheimer's pathology. Pathway analyses for the broader set of dementia-associated proteins implicated immune, lipid, metabolic signaling and hemostasis pathways in dementia pathogenesis.
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- 2021
6. 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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7. Proteomic Analysis Identifies Circulating Proteins Associated With Plasma Amyloid-β and Incident Dementia
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Tin, Adrienne, Sullivan, Kevin J., Walker, Keenan A., Bressler, Jan, Talluri, Rajesh, Yu, Bing, Simino, Jeanette, Gudmundsdottir, Valborg, Emilsson, Valur, Jennings, Lori L., Launer, Lenore, Mei, Hao, Boerwinkle, Eric, Windham, B. Gwen, Gottesman, Rebecca, Gudnason, Vilmundur, Coresh, Josef, Fornage, Myriam, and Mosley, Thomas H.
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- 2023
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8. Biomarker Identification by Proteomic Analysis of Vitreous Humor and Plasma in Diabetic Retinopathy
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Huang, Qian, primary, Banks, Angela, additional, Stacy, Rebecca, additional, Li, Ning, additional, Kim, Yesel, additional, Jennings, Lori, additional, Finkel, Nancy, additional, Yao, Stella, additional, Wu, Anfan, additional, Chen, Amy, additional, Obeidat, Maen, additional, Grosskreutz, Cynthia, additional, Liew, S.H. Melissa, additional, Prasanna, Ganesh, additional, Yu, Hyeong Gon, additional, Loureiro, Joseph, additional, and Zhang, Qin, additional
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- 2024
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9. A proteogenomic signature of age-related macular degeneration in blood
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Emilsson, Valur, Gudmundsson, Elias F., Jonmundsson, Thorarinn, Jonsson, Brynjolfur G., Twarog, Michael, Gudmundsdottir, Valborg, Li, Zhiguang, Finkel, Nancy, Poor, Stephen, Liu, Xin, Esterberg, Robert, Zhang, Yiyun, Jose, Sandra, Huang, Chia-Ling, Liao, Sha-Mei, Loureiro, Joseph, Zhang, Qin, Grosskreutz, Cynthia L., Nguyen, Andrew A., Huang, Qian, Leehy, Barrett, Pitts, Rebecca, Aspelund, Thor, Lamb, John R., Jonasson, Fridbert, Launer, Lenore J., Cotch, Mary Frances, Jennings, Lori L., Gudnason, Vilmundur, and Walshe, Tony E.
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- 2022
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10. Metabolic and proteomic signatures of type 2 diabetes subtypes in an Arab population
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Zaghlool, Shaza B., Halama, Anna, Stephan, Nisha, Gudmundsdottir, Valborg, Gudnason, Vilmundur, Jennings, Lori L., Thangam, Manonanthini, Ahlqvist, Emma, Malik, Rayaz A., Albagha, Omar M. E., Abou‑Samra, Abdul Badi, and Suhre, Karsten
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- 2022
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11. A genome-wide association study of serum proteins reveals shared loci with common diseases
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Gudjonsson, Alexander, Gudmundsdottir, Valborg, Axelsson, Gisli T., Gudmundsson, Elias F., Jonsson, Brynjolfur G., Launer, Lenore J., Lamb, John R., Jennings, Lori L., Aspelund, Thor, Emilsson, Valur, and Gudnason, Vilmundur
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- 2022
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12. Coding and regulatory variants are associated with serum protein levels and disease
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Emilsson, Valur, Gudmundsdottir, Valborg, Gudjonsson, Alexander, Jonmundsson, Thorarinn, Jonsson, Brynjolfur G., Karim, Mohd A., Ilkov, Marjan, Staley, James R., Gudmundsson, Elias F., Launer, Lenore J., Lindeman, Jan H., Morton, Nicholas M., Aspelund, Thor, Lamb, John R., Jennings, Lori L., and Gudnason, Vilmundur
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- 2022
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13. 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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14. Co-regulatory networks of human serum proteins link genetics to disease
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Emilsson, Valur, Ilkov, Marjan, Lamb, John R, Finkel, Nancy, Gudmundsson, Elias F, Pitts, Rebecca, Hoover, Heather, Gudmundsdottir, Valborg, Horman, Shane R, Aspelund, Thor, Shu, Le, Trifonov, Vladimir, Sigurdsson, Sigurdur, Manolescu, Andrei, Zhu, Jun, Olafsson, Örn, Jakobsdottir, Johanna, Lesley, Scott A, To, Jeremy, Zhang, Jia, Harris, Tamara B, Launer, Lenore J, Zhang, Bin, Eiriksdottir, Gudny, Yang, Xia, Orth, Anthony P, Jennings, Lori L, and Gudnason, Vilmundur
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Biochemistry and Cell Biology ,Biological Sciences ,Biotechnology ,Genetics ,Cardiovascular ,2.1 Biological and endogenous factors ,1.1 Normal biological development and functioning ,Generic health relevance ,Aptamers ,Nucleotide ,Blood Proteins ,Cardiovascular Diseases ,Genetic Predisposition to Disease ,Genetic Variation ,Humans ,Iceland ,Metabolic Diseases ,Metabolic Networks and Pathways ,Proteome ,Proteomics ,General Science & Technology - Abstract
Proteins circulating in the blood are critical for age-related disease processes; however, the serum proteome has remained largely unexplored. To this end, 4137 proteins covering most predicted extracellular proteins were measured in the serum of 5457 Icelanders over 65 years of age. Pairwise correlation between proteins as they varied across individuals revealed 27 different network modules of serum proteins, many of which were associated with cardiovascular and metabolic disease states, as well as overall survival. The protein modules were controlled by cis- and trans-acting genetic variants, which in many cases were also associated with complex disease. This revealed co-regulated groups of circulating proteins that incorporated regulatory control between tissues and demonstrated close relationships to past, current, and future disease states.
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- 2018
15. Proteomic profile analysis of plasma and aqueous humor from glaucoma and non-glaucomatous patients
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Pessuti, Carmen L, primary, Huang, Chia-Ling, additional, Banks, Angela, additional, Vo, Nhi, additional, Jennings, Lori, additional, Loureiro, Joseph, additional, Ribeiro, Kleber, additional, Costa, Deise Fialho, additional, Nascimento, Heloisa, additional, Muccioli, Cristina, additional, Tavares, Ivan Maynart, additional, Commodaro, Alessandra, additional, Belfort, Rubens, additional, Wilson, Chrisopher, additional, Chen, Amy, additional, Prasanna, Ganesh, additional, and Raghunathan, VijayKrishna, additional
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- 2024
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16. Plasma proteomic signature of human longevity
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Liu, Xiaojuan, primary, Axelsson, Gisli Thor, additional, Newman, Anne B., additional, Psaty, Bruce M., additional, Boudreau, Robert M., additional, Wu, Chenkai, additional, Arnold, Alice M., additional, Aspelund, Thor, additional, Austin, Thomas R., additional, Gardin, Julius M., additional, Siggeirsdottir, Kristin, additional, Tracy, Russell P., additional, Gerszten, Robert E., additional, Launer, Lenore J., additional, Jennings, Lori L., additional, Gudnason, Vilmundur, additional, Sanders, Jason L., additional, and Odden, Michelle C., additional
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- 2024
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17. Longitudinal proteomic analysis of severe COVID-19 reveals survival-associated signatures, tissue-specific cell death, and cell-cell interactions
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Filbin, Michael R., Mehta, Arnav, Schneider, Alexis M., Kays, Kyle R., Guess, Jamey R., Gentili, Matteo, Fenyves, Bánk G., Charland, Nicole C., Gonye, Anna L.K., Gushterova, Irena, Khanna, Hargun K., LaSalle, Thomas J., Lavin-Parsons, Kendall M., Lilley, Brendan M., Lodenstein, Carl L., Manakongtreecheep, Kasidet, Margolin, Justin D., McKaig, Brenna N., Rojas-Lopez, Maricarmen, Russo, Brian C., Sharma, Nihaarika, Tantivit, Jessica, Thomas, Molly F., Gerszten, Robert E., Heimberg, Graham S., Hoover, Paul J., Lieb, David J., Lin, Brian, Ngo, Debby, Pelka, Karin, Reyes, Miguel, Smillie, Christopher S., Waghray, Avinash, Wood, Thomas E., Zajac, Amanda S., Jennings, Lori L., Grundberg, Ida, Bhattacharyya, Roby P., Parry, Blair Alden, Villani, Alexandra-Chloé, Sade-Feldman, Moshe, Hacohen, Nir, and Goldberg, Marcia B.
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- 2021
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18. Human plasma proteomic profiles indicative of cardiorespiratory fitness
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Robbins, Jeremy M., Peterson, Bennet, Schranner, Daniela, Tahir, Usman A., Rienmüller, Theresa, Deng, Shuliang, Keyes, Michelle J., Katz, Daniel H., Beltran, Pierre M. Jean, Barber, Jacob L., Baumgartner, Christian, Carr, Steven A., Ghosh, Sujoy, Shen, Changyu, Jennings, Lori L., Ross, Robert, Sarzynski, Mark A., Bouchard, Claude, and Gerszten, Robert E.
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- 2021
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19. Effect of longevity genetic variants on the molecular aging rate
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Gurinovich, Anastasia, Song, Zeyuan, Zhang, William, Federico, Anthony, Monti, Stefano, Andersen, Stacy L., Jennings, Lori L., Glass, David J., Barzilai, Nir, Millman, Sofiya, Perls, Thomas T., and Sebastiani, Paola
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- 2021
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20. It’s in Our Blood: A Glimpse of Personalized Medicine
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Lamb, John R., Jennings, Lori L., Gudmundsdottir, Valborg, Gudnason, Vilmundur, and Emilsson, Valur
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- 2021
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21. BET bromodomain inhibitors regulate keratinocyte plasticity
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Schutzius, Gabi, Kolter, Christian, Bergling, Sebastian, Tortelli, Federico, Fuchs, Florian, Renner, Steffen, Guagnano, Vito, Cotesta, Simona, Rueeger, Heinrich, Faller, Michael, Bouchez, Laure, Salathe, Adrian, Nigsch, Florian, Richards, Shola M., Louis, Malvina, Gruber, Viktoria, Aebi, Alexandra, Turner, Jonathan, Grandjean, Frederic, Li, Jun, Dimitri, Chris, Thomas, Jason R., Schirle, Markus, Blank, Jutta, Drueckes, Peter, Vaupel, Andrea, Tiedt, Ralph, Manley, Paul W., Klopp, Julia, Hemmig, Rene, Zink, Florence, Leroy, Nelly, Carbone, Walter, Roma, Guglielmo, Keller, Caroline Gubser, Dales, Natalie, Beyerbach, Armin, Zimmerlin, Alfred, Bonenfant, Debora, Terranova, Remi, Berwick, Amy, Sahambi, Sukhdeep, Reynolds, Aimee, Jennings, Lori L., Ruffner, Heinz, Tarsa, Peter, Bouwmeester, Tewis, Driver, Vickie, Frederiksen, Mathias, Lohmann, Felix, and Kirkland, Susan
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- 2021
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22. Proteomic analysis of Alzheimer's disease cerebrospinal fluid reveals alterations associated with APOE ε4 and atomoxetine treatment.
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Dammer, Eric B., Shantaraman, Anantharaman, Ping, Lingyan, Duong, Duc M., Gerasimov, Ekaterina S., Ravindran, Suda Parimala, Gudmundsdottir, Valborg, Frick, Elisabet A., Gomez, Gabriela T., Walker, Keenan A., Emilsson, Valur, Jennings, Lori L., Gudnason, Vilmundur, Western, Daniel, Cruchaga, Carlos, Lah, James J., Wingo, Thomas S., Wingo, Aliza P., Seyfried, Nicholas T., and Levey, Allan I.
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ALZHEIMER'S disease ,APOLIPOPROTEIN E ,CEREBROSPINAL fluid ,PROTEOMICS ,CEREBRAL amyloid angiopathy ,TAU proteins ,PATHOLOGICAL physiology - Abstract
Alzheimer's disease (AD) is currently defined by the aggregation of amyloid-β (Aβ) and tau proteins in the brain. Although biofluid biomarkers are available to measure Aβ and tau pathology, few markers are available to measure the complex pathophysiology that is associated with these two cardinal neuropathologies. Here, we characterized the proteomic landscape of cerebrospinal fluid (CSF) changes associated with Aβ and tau pathology in 300 individuals using two different proteomic technologies—tandem mass tag mass spectrometry and SomaScan. Integration of both data types allowed for generation of a robust protein coexpression network consisting of 34 modules derived from 5242 protein measurements, including disease-relevant modules associated with autophagy, ubiquitination, endocytosis, and glycolysis. Three modules strongly associated with the apolipoprotein E ε4 (APOE ε4) AD risk genotype mapped to oxidant detoxification, mitogen-associated protein kinase signaling, neddylation, and mitochondrial biology and overlapped with a previously described lipoprotein module in serum. Alterations of all three modules in blood were associated with dementia more than 20 years before diagnosis. Analysis of CSF samples from an AD phase 2 clinical trial of atomoxetine (ATX) demonstrated that abnormal elevations in the glycolysis CSF module—the network module most strongly correlated to cognitive function—were reduced by ATX treatment. Clustering of individuals based on their CSF proteomic profiles revealed heterogeneity of pathological changes not fully reflected by Aβ and tau. Editor's summary: The use of fluid biomarkers to stratify patients and monitor treatment response can facilitate the development of therapeutics for Alzheimer's disease (AD). To extend the AD marker toolkit, Dammer et al. established an integrated cerebrospinal fluid (CSF) proteomic network and showed that interconnected groups of proteins (modules) were associated with distinct disease aspects such as Aβ and tau pathology, cognitive dysfunction, or APOE E4 status. The M20 glycolysis/redox homeostasis module was elevated in AD and correlated with cognitive dysfunction. M20 was reduced after atomoxetine treatment in CSF from patients participating in a clinical trial. Together, these results could provide a useful resource for AD biomarker development. —Daniela Neuhofer [ABSTRACT FROM AUTHOR]
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- 2024
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23. Serum proteomics reveals APOE dependent and independent protein signatures in Alzheimer’s disease
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Gudmundsdottir, Valborg, primary, Frick, Elisabet, additional, Emilsson, Valur, additional, Jonmundsson, Thorarinn, additional, Steindorsdottir, Anna, additional, Johnson, Erik C.B., additional, Puerta, Raquel, additional, Dammer, Eric, additional, Shantaraman, Anantharaman, additional, Cano, Amanda, additional, Boada, Merce, additional, Valero, Sergi, additional, Garcia-Gonzalez, Pablo, additional, Gudmundsson, Elias, additional, Gudjonsson, Alexander, additional, Pitts, Rebecca, additional, Qiu, Xiazi, additional, Finkel, Nancy, additional, Loureiro, Joseph, additional, Orth, Anthony, additional, Seyfried, Nicholas, additional, Levey, Allan, additional, Ruiz, Agustín, additional, Aspelund, Thor, additional, Jennings, Lori, additional, Launer, Lenore, additional, and Gudnason, Vilmundur, additional
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- 2024
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24. A proteomic analysis of atrial fibrillation in a prospective longitudinal cohort (AGES-Reykjavik study)
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Jonmundsson, Thorarinn, primary, Steindorsdottir, Anna E, additional, Austin, Thomas R, additional, Frick, Elisabet A, additional, Axelsson, Gisli T, additional, Launer, Lenore, additional, Psaty, Bruce M, additional, Loureiro, Joseph, additional, Orth, Anthony P, additional, Aspelund, Thor, additional, Emilsson, Valur, additional, Floyd, James S, additional, Jennings, Lori, additional, Gudnason, Vilmundur, additional, and Gudmundsdottir, Valborg, additional
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- 2023
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25. Serum proteomics reveals APOE dependent and independent protein signatures in Alzheimer's disease
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Frick, Elisabet A., primary, Emilsson, Valur, additional, Jonmundsson, Thorarinn, additional, Steindorsdottir, Anna E., additional, Johnson, Erik C.B., additional, Puerta, Raquel, additional, Dammer, Eric B., additional, Shantaraman, Anantharaman, additional, Cano, Amanda, additional, Boada, Merce, additional, Valero, Sergi, additional, Garcia-Gonzalez, Pablo, additional, Gudmundsson, Elias F., additional, Gudjonsson, Alexander, additional, Loureiro, Joseph J., additional, Orth, Anthony P., additional, Seyfried, Nicholas T., additional, Levey, Allan I., additional, Ruiz, Agustin, additional, Aspelund, Thor, additional, Jennings, Lori L., additional, Launer, Lenore J., additional, Gudmundsdottir, Valborg, additional, and Gudnason, Vilmundur, additional
- Published
- 2023
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- View/download PDF
26. Proteomic prediction of incident heart failure and its main subtypes
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Emilsson, Valur, primary, Jonsson, Brynjolfur G, additional, Austin, Thomas R, additional, Gudmundsdottir, Valborg, additional, Axelsson, Gisli T, additional, Frick, Elisabet A, additional, Jonmundsson, Thorarinn, additional, Steindorsdottir, Anna E, additional, Loureiro, Joseph, additional, Brody, Jennifer A, additional, Aspelund, Thor, additional, Launer, Lenore J, additional, Thorgeirsson, Gudmundur, additional, Kortekaas, Kirsten A, additional, Lindeman, Jan H, additional, Orth, Anthony P, additional, Lamb, John R, additional, Psaty, Bruce M, additional, Kizer, Jorge R, additional, Jennings, Lori L, additional, and Gudnason, Vilmundur, additional
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- 2023
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27. Proteomic prediction of incident heart failure and its main subtypes.
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Emilsson, Valur, Jonsson, Brynjolfur G., Austin, Thomas R., Gudmundsdottir, Valborg, Axelsson, Gisli T., Frick, Elisabet A., Jonmundsson, Thorarinn, Steindorsdottir, Anna E., Loureiro, Joseph, Brody, Jennifer A., Aspelund, Thor, Launer, Lenore J., Thorgeirsson, Gudmundur, Kortekaas, Kirsten A., Lindeman, Jan H., Orth, Anthony P., Lamb, John R., Psaty, Bruce M., Kizer, Jorge R., and Jennings, Lori L.
- Subjects
BRAIN natriuretic factor ,BLOOD proteins ,HEART failure ,PROTEOMICS ,OLDER people - Abstract
Aim: To examine the ability of serum proteins in predicting future heart failure (HF) events, including HF with reduced or preserved ejection fraction (HFrEF or HFpEF), in relation to event time, and with or without considering established HF‐associated clinical variables. Methods and results: In the prospective population‐based Age, Gene/Environment Susceptibility Reykjavik Study (AGES‐RS), 440 individuals developed HF after their first visit with a median follow‐up of 5.45 years. Among them, 167 were diagnosed with HFrEF and 188 with HFpEF. A least absolute shrinkage and selection operator regression model with non‐parametric bootstrap were used to select predictors from an analysis of 4782 serum proteins, and several pre‐established clinical parameters linked to HF. A subset of 8–10 distinct or overlapping serum proteins predicted different future HF outcomes, and C‐statistics were used to assess discrimination, revealing proteins combined with a C‐index of 0.80 for all incident HF, 0.78 and 0.80 for incident HFpEF or HFrEF, respectively. In the AGES‐RS, protein panels alone encompassed the risk contained in the clinical information and improved the performance characteristics of prediction models based on N‐terminal pro‐B‐type natriuretic peptide and clinical risk factors. Finally, the protein predictors performed particularly well close to the time of an HF event, an outcome that was replicated in the Cardiovascular Health Study. Conclusion: A small number of circulating proteins accurately predicted future HF in the AGES‐RS cohort of older adults, and they alone encompass the risk information found in a collection of clinical data. Incident HF events were predicted up to 8 years, with predictor performance significantly improving for events occurring less than 1 year ahead, a finding replicated in an external cohort study. [ABSTRACT FROM AUTHOR]
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- 2024
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28. Author Correction: Human plasma proteomic profiles indicative of cardiorespiratory fitness
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Robbins, Jeremy M., Peterson, Bennet, Schranner, Daniela, Tahir, Usman A., Rienmüller, Theresa, Deng, Shuliang, Keyes, Michelle J., Katz, Daniel H., Beltran, Pierre M. Jean, Barber, Jacob L., Baumgartner, Christian, Carr, Steven A., Ghosh, Sujoy, Shen, Changyu, Jennings, Lori L., Ross, Robert, Sarzynski, Mark A., Bouchard, Claude, and Gerszten, Robert E.
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- 2021
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29. Correction to: Effect of longevity genetic variants on the molecular aging rate
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Gurinovich, Anastasia, Song, Zeyuan, Zhang, William, Federico, Anthony, Monti, Stefano, Andersen, Stacy L., Jennings, Lori L., Glass, David J., Barzilai, Nir, Millman, Sofiya, Perls, Thomas T., and Sebastiani, Paola
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- 2021
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30. Machine learning algorithm improves the detection of NASH (NAS-based) and at-risk NASH: A development and validation study
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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
31. Predicting health and life span with the deep plasma proteome
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Emilsson, Valur, Gudnason, Vilmundur, and Jennings, Lori L.
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- 2019
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32. GDF11 Increases with Age and Inhibits Skeletal Muscle Regeneration
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Egerman, Marc A., Cadena, Samuel M., Gilbert, Jason A., Meyer, Angelika, Nelson, Hallie N., Swalley, Susanne E., Mallozzi, Carolyn, Jacobi, Carsten, Jennings, Lori L., Clay, Ieuan, Laurent, Gaëlle, Ma, Shenglin, Brachat, Sophie, Lach-Trifilieff, Estelle, Shavlakadze, Tea, Trendelenburg, Anne-Ulrike, Brack, Andrew S., and Glass, David J.
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- 2015
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33. Molecular mechanisms associated with multiple sclerosis progression, severity and phenotype
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Kosa, Peter, primary, Lumbard, Keith, additional, Wang, Jing, additional, Liang, C. Jason, additional, Masvekar, Ruturaj, additional, Kim, Yujin, additional, Varosanec, Mihael, additional, Jennings, Lori, additional, and Bielekova, Bibiana, additional
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- 2022
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34. The Proteomic Profile of Interstitial Lung Abnormalities
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Axelsson, Gisli Thor, primary, Gudmundsson, Gunnar, additional, Pratte, Katherine A., additional, Aspelund, Thor, additional, Putman, Rachel K., additional, Sanders, Jason L., additional, Gudmundsson, Elias F., additional, Hatabu, Hiroto, additional, Gudmundsdottir, Valborg, additional, Gudjonsson, Alexander, additional, Hino, Takuya, additional, Hida, Tomoyuki, additional, Hobbs, Brian D., additional, Cho, Michael H., additional, Silverman, Edwin K., additional, Bowler, Russell P., additional, Launer, Lenore J., additional, Jennings, Lori L., additional, Hunninghake, Gary M., additional, Emilsson, Valur, additional, and Gudnason, Vilmundur, additional
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- 2022
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35. Application of Large-Scale Aptamer-Based Proteomic Profiling to Planned Myocardial Infarctions
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Jacob, Jaison, Ngo, Debby, Finkel, Nancy, Pitts, Rebecca, Gleim, Scott, Benson, Mark D., Keyes, Michelle J., Farrell, Laurie A., Morgan, Thomas, Jennings, Lori L., and Gerszten, Robert E.
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- 2018
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36. 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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Mózes, Ferenc E, Lee, Jenny A, Vali, Yasaman, Alzoubi, Osama, Staufer, Katharina, Trauner, Michael, Paternostro, Rafael, Stauber, Rudolf E, Holleboom, Adriaan G, van Dijk, Anne-Marieke, Mak, Anne Linde, Boursier, Jérôme, de Saint Loup, Marc, Shima, Toshihide, Bugianesi, Elisabetta, Gaia, Silvia, Armandi, Angelo, Shalimar, Lupșor-Platon, Monica, Wong, Vincent Wai-Sun, Li, Guanlin, Wong, Grace Lai-Hung, Cobbold, Jeremy, 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, Petta, Salvatore, Pennisi, Grazia, Viganò, Mauro, Ridolfo, Sofia, Aithal, Guruprasad Padur, Palaniyappan, Naaventhan, Lee, Dae Ho, Ekstedt, Mattias, Nasr, Patrik, Cassinotto, Christophe, de Lédinghen, Victor, Berzigotti, Annalisa, Mendoza, Yuly P, Noureddin, Mazen, Truong, Emily, Fournier-Poizat, Céline, Geier, Andreas, Martic, Miljen, Tuthill, Theresa, Anstee, Quentin M, Harrison, Stephen A, Bossuyt, Patrick M, Pavlides, Michael, 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, and Hytiroglou, Prodromos
- Abstract
Histologically assessed liver fibrosis stage has prognostic significance in patients with non-alcoholic fatty liver disease (NAFLD) and is accepted as a surrogate endpoint in clinical trials for non-cirrhotic NAFLD. Our aim was to compare the prognostic performance of non-invasive tests with liver histology in patients with NAFLD.
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- 2023
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37. Proteomic Analysis Identifies Circulating Proteins Associated With Plasma Amyloid β and Incident Dementia
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Tin, Adrienne, primary, Sullivan, Kevin J., additional, Walker, Keenan A., additional, Bressler, Jan, additional, Talluri, Rajesh, additional, Yu, Bing, additional, Simino, Jeanette, additional, Gudmundsdottir, Valborg, additional, Emilsson, Valur, additional, Jennings, Lori L., additional, Launer, Lenore, additional, Mei, Hao, additional, Boerwinkle, Eric, additional, Windham, B. Gwen, additional, Gottesman, Rebecca, additional, Gudnason, Vilmundur, additional, Coresh, Josef, additional, Fornage, Myriam, additional, and Mosley, Thomas H., additional
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- 2022
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38. Nucleoside Transporters of Mammalian Cells
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Cass, Carol E., Young, James D., Baldwin, Stephen A., Cabrita, Miguel A., Graham, Kathryn A., Griffiths, Mark, Jennings, Lori L., Mackey, John R., Ng, Amy M. L., Ritzel, Mabel W. L., Vickers, Mark F., Yao, Sylvia Y. M., Borchardt, Ronald T., editor, Amidon, Gordon L., editor, and Sadée, Wolfgang, editor
- Published
- 2002
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39. Urinary Monocyte Chemoattractant Protein-1 in Patients With Alport Syndrome
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Kashtan, Clifford, Schachter, Asher, Klickstein, Lloyd, Liu, Xin, Jennings, Lori, and Finkel, Nancy
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- 2022
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40. Increased serum miR-193a-5p during non-alcoholic fatty liver disease progression: Diagnostic and mechanistic relevance
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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., Boursier, Jerome, Ratziu, Vlad, Bugianesi, Elisabetta, Anstee, Quentin M., Daly, Ann K., Clark, James, Cockell, Simon, 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, McGlinchey, Aidan, Sen, Partho, Mato, Jose, 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, 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, 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, Chaumat, Pierre, Rosenquist, Christian, Trylesinski, Aldo, Ortiz, Pablo, Duffin, Kevin, Yunis, Carla, Miller, Melissa, Tuthill, Theresa, Ertle, Judith, Younes, Ramy, Alexander, Leigh, Ostroff, Rachel, Mikkelsen, Lars Friis, Brass, Clifford, Jennings, Lori, Balp, Maria-Magdalena, Martic, Miljen, Hanauer, Guido, Shankar, Sudha, Torstenson, Richard, Ehman, Richard, Kalutkiewicz, Michael, Pepin, Kay, Myers, Joel, Shevell, Diane, Ho, Gideon, Landgren, Henrik, Myers, Rob, Doward, Lynda, Whalley, Diane, and Twiss, James
- Subjects
Hepatology ,Gastroenterology ,Internal Medicine ,Immunology and Allergy ,digestive system diseases - Abstract
Background & Aims: Serum microRNA (miRNA) levels are known to change in non-alcoholic fatty liver disease (NAFLD) and may serve as useful biomarkers. This study aimed to profile miRNAs comprehensively at all NAFLD stages. Methods: We profiled 2,083 serum miRNAs in a discovery cohort (183 cases with NAFLD representing the complete NAFLD spectrum and 10 population controls). miRNA libraries generated by HTG EdgeSeq were sequenced by Illumina NextSeq. Selected serum miRNAs were profiled in 372 additional cases with NAFLD and 15 population controls by quantitative reverse transcriptase PCR. Results: Levels of 275 miRNAs differed between cases and population controls. Fewer differences were seen within individual NAFLD stages, but miR-193a-5p consistently showed increased levels in all comparisons. Relative to NAFL/non-alcoholic steatohepatitis (NASH) with mild fibrosis (stage 0/1), 3 miRNAs (miR-193a-5p, miR-378d, and miR378d) were increased in cases with NASH and clinically significant fibrosis (stages 2–4), 7 (miR193a-5p, miR-378d, miR-378e, miR-320b, miR-320c, miR-320d, and miR-320e) increased in cases with NAFLD activity score (NAS) 5–8 compared with lower NAS, and 3 (miR-193a-5p, miR-378d, and miR-378e) increased but 1 (miR-19b-3p) decreased in steatosis, activity, and fibrosis (SAF) activity score 2–4 compared with lower SAF activity. The significant findings for miR-193a-5p were replicated in the additional cohort with NAFLD. Studies in Hep G2 cells showed that following palmitic acid treatment, miR-193a-5p expression decreased significantly. Gene targets for miR-193a-5p were investigated in liver RNAseq data for a case subgroup (n = 80); liver GPX8 levels correlated positively with serum miR-193a-5p. Conclusions: Serum miR-193a-5p levels correlate strongly with NAFLD activity grade and fibrosis stage. MiR-193a-5p may have a role in the hepatic response to oxidative stress and is a potential clinically tractable circulating biomarker for progressive NAFLD. Lay summary: MicroRNAs (miRNAs) are small pieces of nucleic acid that may turn expression of genes on or off. These molecules can be detected in the blood circulation, and their levels in blood may change in liver disease including non-alcoholic fatty liver disease (NAFLD). To see if we could detect specific miRNA associated with advanced stages of NAFLD, we carried out miRNA sequencing in a group of 183 patients with NAFLD of varying severity together with 10 population controls. We found that a number of miRNAs showed changes, mainly increases, in serum levels but that 1 particular miRNA miR-193a-5p consistently increased. We confirmed this increase in a second group of cases with NAFLD. Measuring this miRNA in a blood sample may be a useful way to determine whether a patient has advanced NAFLD without an invasive liver biopsy.
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- 2022
41. Urinary Monocyte Chemoattractant Protein-1 (MCP-1) in Patients with Alport Syndrome
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Kashtan, Clifford, primary, Schachter, Asher, additional, Klickstein, Lloyd, additional, Liu, Xin, additional, Jennings, Lori, additional, and Finkel, Nancy, additional
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- 2022
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42. Screening the Mammalian Extracellular Proteome for Regulators of Embryonic Human Stem Cell Pluripotency
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Gonzalez, Rodolfo, Jennings, Lori L., Knuth, Mark, Orth, Anthony P., Klock, Heath E., Ou, Weija, Feuerhelm, Julie, Hull, Mitchell V., Koesema, Eric, Wang, Yuping, Zhang, Jia, Wu, Chunlei, Cho, Charles Y., Su, Andrew I., Batalov, Serge, Chen, Hong, Johnson, Kristen, Laffitte, Bryan, Nguyerf, Deborah G., Snyder, Evan Y., Schult, Peter G., Harris, Jennifer L., and Lesley, Scott A.
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- 2010
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43. Fragmented Tissue Factor Pathway Inhibitor (TFPI) and TFPI C-Terminal Peptides Eliminate Serum-Resistant Escherichia coli from Blood Cultures
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Schirm, Sabine, Liu, Xu, Jennings, Lori L., Jedrzejewski, Paul, Dai, Yumin, and Hardy, Stephen
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- 2009
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44. ADAMTSL2 protein and a soluble biomarker signature identify at-risk non-alcoholic steatohepatitis and fibrosis in adults with NAFLD
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Corey, Kathleen E., primary, Pitts, Rebecca, additional, Lai, Michelle, additional, Loureiro, Joseph, additional, Masia, Ricard, additional, Osganian, Stephanie A., additional, Gustafson, Jenna L., additional, Hutter, Matthew M., additional, Gee, Denise W., additional, Meireles, Ozanan R., additional, Witkowski, Elan R., additional, Richards, Shola M., additional, Jacob, Jaison, additional, Finkel, Nancy, additional, Ngo, Debby, additional, Wang, Thomas J., additional, Gerszten, Robert E., additional, Ukomadu, Chinweike, additional, and Jennings, Lori L., additional
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- 2022
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45. Diagnostic accuracy of elastography and magnetic resonance imaging in patients with NAFLD: A systematic review and meta-analysis
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Selvaraj, Emmanuel Anandraj, primary, Mózes, Ferenc Emil, additional, Jayaswal, Arjun Narayan Ajmer, additional, Zafarmand, Mohammad Hadi, additional, Vali, Yasaman, additional, Lee, Jenny A., additional, Levick, Christina Kim, additional, Young, Liam Arnold Joseph, additional, Palaniyappan, Naaventhan, additional, Liu, Chang-Hai, additional, Aithal, Guruprasad Padur, additional, Romero-Gómez, Manuel, additional, Brosnan, M. Julia, additional, Tuthill, Theresa A., additional, Anstee, Quentin M., additional, Neubauer, Stefan, additional, Harrison, Stephen A., additional, Bossuyt, Patrick M., additional, Pavlides, Michael, additional, Anstee, Quentin, additional, Daly, Ann, additional, Johnson, Katherine, additional, Govaere, Olivier, additional, Cockell, Simon, additional, Tiniakos, Dina, additional, Bedossa, Pierre, additional, Oakley, Fiona, additional, Cordell, Heather, additional, Day, Chris, additional, Wonders, Kristy, additional, Bossuyt, Patrick, additional, Zafarmand, Hadi, additional, Lee, Jenny, additional, Ratziu, Vlad, additional, Clement, Karine, additional, Pais, Raluca, additional, Schuppan, Detlef, additional, Schattenberg, Jörn, additional, Vidal-Puig, Toni, additional, Vacca, Michele, additional, Rodrigues-Cuenca, Sergio, additional, Allison, Mike, additional, Kamzolas, Ioannis, additional, Petsalaki, Evangelia, additional, Oresic, Matej, additional, Hyötyläinen, Tuulia, additional, McGlinchey, Aiden, additional, Mato, Jose M., additional, Millet, Oscar, additional, Dufour, Jean-François, additional, Berzigotti, Annalisa, additional, Harrison, Stephen, additional, Cobbold, Jeremy, additional, Mozes, Ferenc, additional, Akhtar, Salma, additional, Banerjee, Rajarshi, additional, Kelly, Matt, additional, Shumbayawonda, Elizabeth, additional, Dennis, Andrea, additional, Erpicum, Charlotte, additional, Gómez-González, Emilio, additional, Ampuero, Javier, additional, Castell, Javier, additional, Gallego-Durán, Rocío, additional, Fernández, Isabel, additional, Montero-Vallejo, Rocío, additional, Karsdal, Morten, additional, Erhardtsen, Elisabeth, additional, Rasmussen, Daniel, additional, Leeming, Diana Julie, additional, Fisker, Mette Juul, additional, Sinisi, Antonia, additional, Musa, Kishwar, additional, Betsou, Fay, additional, Sandt, Estelle, additional, Tonini, Manuela, additional, Bugianesi, Elisabetta, additional, Rosso, Chiara, additional, Armandi, Angelo, additional, Marra, Fabio, additional, Gastaldelli, Amalia, additional, Svegliati, Gianluca, additional, Boursier, Jérôme, additional, Francque, Sven, additional, Vonghia, Luisa, additional, Ekstedt, Mattias, additional, Kechagias, Stergios, additional, Yki-Jarvinen, Hannele, additional, Luukkonen, Panu, additional, van Mil, Saskia, additional, Papatheodoridis, George, additional, Cortez-Pinto, Helena, additional, Valenti, Luca, additional, Petta, Salvatore, additional, Miele, Luca, additional, Geier, Andreas, additional, Trautwein, Christian, additional, Aithal, Guru, additional, Hockings, Paul, additional, Newsome, Philip, additional, Wenn, David, additional, Pereira Rodrigues, Cecília Maria, additional, Chaumat, Pierre, additional, Hanf, Rémy, additional, Trylesinski, Aldo, additional, Ortiz, Pablo, additional, Duffin, Kevin, additional, Brosnan, Julia, additional, Tuthill, Theresa, additional, McLeod, Euan, additional, Ertle, Judith, additional, Younes, Ramy, additional, Ostroff, Rachel, additional, Alexander, Leigh, additional, Kjær, Mette Skalshøi, additional, Mikkelsen, Lars Friis, additional, Balp, Maria-Magdalena, additional, Brass, Clifford, additional, Jennings, Lori, additional, Martic, Miljen, additional, Loeffler, Juergen, additional, Hanauer, Guido, additional, Shankar, Sudha, additional, Fournier, Céline, additional, Pepin, Kay, additional, Ehman, Richard, additional, Myers, Joel, additional, Ho, Gideon, additional, Torstenson, Richard, additional, Myers, Rob, additional, and Doward, Lynda, additional
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- 2021
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46. A Proteogenomic Signature of Age-related Macular Degeneration in Blood
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Emilsson, Valur, primary, Gudmundsson, Elias F., additional, Jonmundsson, Thorarinn, additional, Twarog, Michael, additional, Gudmundsdottir, Valborg, additional, Finkel, Nancy, additional, Poor, Stephen, additional, Liu, Xin, additional, Esterberg, Robert, additional, Zhang, Yiyun, additional, Jose, Sandra, additional, Huang, Chia-Ling, additional, Liao, Sha-Mei, additional, Loureiro, Joseph, additional, Zhang, Qin, additional, Grosskreutz, Cynthia L, additional, Nguyen, Andrew A, additional, Huang, Qian, additional, Leehy, Barrett, additional, Pitts, Rebecca, additional, Jonsson, Brynjolfur G., additional, Aspelund, Thor, additional, Lamb, John R., additional, Jonasson, Fridbert, additional, Launer, Lenore J., additional, Cotch, Mary Frances, additional, Jennings, Lori L., additional, Gudnason, Vilmundur, additional, and Walshe, Tony E., additional
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- 2021
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47. A genome-wide association study of serum proteins reveals shared loci with common diseases
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Gudjonsson, Alexander, primary, Gudmundsdottir, Valborg, additional, Axelsson, Gisli T, additional, Gudmundsson, Elias F, additional, Jonsson, Brynjolfur G, additional, Launer, Lenore J, additional, Lamb, John R, additional, Jennings, Lori L, additional, Aspelund, Thor, additional, Emilsson, Valur, additional, and Gudnason, Vilmundur, additional
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- 2021
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48. Longitudinal proteomic analysis of severe COVID-19 reveals survival-associated signatures, tissue-specific cell death, and cell-cell interactions
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Massachusetts Institute of Technology. Department of Biological Engineering, Broad Institute of MIT and Harvard, Filbin, Michael R., Mehta, Arnav, Schneider, Alexis M., Kays, Kyle R., Guess, Jamey R., Gentili, Matteo, Fenyves, Bánk G., Charland, Nicole C., Gonye, Anna L.K., Gushterova, Irena, Khanna, Hargun K., LaSalle, Thomas J., Lavin-Parsons, Kendall M., Lilley, Brendan M., Lodenstein, Carl L., Manakongtreecheep, Kasidet, Margolin, Justin D., McKaig, Brenna N., Rojas-Lopez, Maricarmen, Russo, Brian C., Sharma, Nihaarika, Tantivit, Jessica, Thomas, Molly F., Gerszten, Robert E., Heimberg, Graham S., Hoover, Paul J., Lieb, David J., Lin, Brian, Ngo, Debby, Pelka, Karin, Reyes, Miguel, Smillie, Chris S, Waghray, Avinash, Wood, Thomas E., Zajac, Amanda S., Jennings, Lori L., Grundberg, Ida, Bhattacharyya, Roby P., Parry, Blair Alden, Villani, Alexandra-Chloé, Sade-Feldman, Moshe, Hacohen, Nir, Goldberg, Marcia B., Massachusetts Institute of Technology. Department of Biological Engineering, Broad Institute of MIT and Harvard, Filbin, Michael R., Mehta, Arnav, Schneider, Alexis M., Kays, Kyle R., Guess, Jamey R., Gentili, Matteo, Fenyves, Bánk G., Charland, Nicole C., Gonye, Anna L.K., Gushterova, Irena, Khanna, Hargun K., LaSalle, Thomas J., Lavin-Parsons, Kendall M., Lilley, Brendan M., Lodenstein, Carl L., Manakongtreecheep, Kasidet, Margolin, Justin D., McKaig, Brenna N., Rojas-Lopez, Maricarmen, Russo, Brian C., Sharma, Nihaarika, Tantivit, Jessica, Thomas, Molly F., Gerszten, Robert E., Heimberg, Graham S., Hoover, Paul J., Lieb, David J., Lin, Brian, Ngo, Debby, Pelka, Karin, Reyes, Miguel, Smillie, Chris S, Waghray, Avinash, Wood, Thomas E., Zajac, Amanda S., Jennings, Lori L., Grundberg, Ida, Bhattacharyya, Roby P., Parry, Blair Alden, Villani, Alexandra-Chloé, Sade-Feldman, Moshe, Hacohen, Nir, and Goldberg, Marcia B.
- Abstract
Mechanisms underlying severe coronavirus disease 2019 (COVID-19) disease remain poorly understood. We analyze several thousand plasma proteins longitudinally in 306 COVID-19 patients and 78 symptomatic controls, uncovering immune and non-immune proteins linked to COVID-19. Deconvolution of our plasma proteome data using published scRNA-seq datasets reveals contributions from circulating immune and tissue cells. Sixteen percent of patients display reduced inflammation yet comparably poor outcomes. Comparison of patients who died to severely ill survivors identifies dynamic immune-cell-derived and tissue-associated proteins associated with survival, including exocrine pancreatic proteases. Using derived tissue-specific and cell-type-specific intracellular death signatures, cellular angiotensin-converting enzyme 2 (ACE2) expression, and our data, we infer whether organ damage resulted from direct or indirect effects of infection. We propose a model in which interactions among myeloid, epithelial, and T cells drive tissue damage. These datasets provide important insights and a rich resource for analysis of mechanisms of severe COVID-19 disease., NIH/NIAID (Grant U19 AI082630)
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- 2021
49. Novel biomarkers for glycaemic deterioration in type 2 diabetes: an IMI RHAPSODY study
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Slieker, Roderick C, primary, Donnelly, Louise A, additional, Lopez-Noriega, Livia, additional, Muniangi-Muhitu, Hermine, additional, Akalestou, Elina, additional, Sheikh, Mahsa, additional, Georgiadou, Eleni, additional, Giordano, Giuseppe N., additional, Åkerlund, Mikael, additional, Ahlqvist, Emma, additional, Ali, Ashfaq, additional, Barovic, Marko, additional, Bouland, Gerard A, additional, Burdet, Frédéric, additional, Canouil, Mickaël, additional, Dragan, Iulian, additional, Elders, Petra JM, additional, Fernandez, Celine, additional, Festa, Andreas, additional, Fitipaldi, Hugo, additional, Froguel, Phillippe, additional, Gudmundsdottir, Valborg, additional, Gudnason, Vilmundur, additional, Gerl, Mathias J., additional, van der Heijden, Amber A, additional, Jennings, Lori L, additional, Hansen, Michael K., additional, Kim, Min, additional, Leclerc, Isabelle, additional, Klose, Christian, additional, Kuznetsov, Dmitry, additional, Aly, Dina Mansour, additional, Mehl, Florence, additional, Marek, Diana, additional, Melander, Olle, additional, Niknejad, Anne, additional, Ottosson, Filip, additional, Pavo, Imre, additional, Efanov, Alexander, additional, Duffin, Kevin, additional, Pullen, Timothy J., additional, Simons, Kai, additional, Solimena, Michele, additional, Suvitaival, Tommi, additional, Wretlind, Asger, additional, Rossing, Peter, additional, Lyssenko, Valeriya, additional, Quigley, Cristina Legido, additional, Groop, Leif, additional, Thorens, Bernard, additional, Franks, Paul W, additional, Ibberson, Mark, additional, Beulens, Joline WJ, additional, ’t Hart, Leen M, additional, Pearson, Ewan R, additional, and Rutter, Guy A, additional
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- 2021
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50. Application of a 27-protein candidate cardiovascular surrogate endpoint to track risk ascendancy and resolution in COVID-19
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Paterson, Clare, primary, Hagar, Yolanda, additional, Hinterberg, Michael A., additional, Charney, Alexander W., additional, Valle, Diane M. Del, additional, Filbin, Michael R., additional, Gnjatic, Sacha, additional, Goldman, Jason D., additional, Hacohen, Nir, additional, Heath, James R., additional, Hillenbrand, Rainer, additional, Jennings, Lori L., additional, Kim-Schulze, Seunghee, additional, Magis, Andrew T., additional, Merad, Miriam, additional, Mouskas, Konstantinos, additional, Simons, Nicole W., additional, and Williams, Stephen A., additional
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- 2021
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