Glucose metabolism patterns: A potential index to characterize brain ageing and predict high conversion risk into cognitive impairment

Autor: Jiang, Jiehui, Sheng, Can, Aisen, Paul, Dang, Mimi, Stern, Yaakov, Honig, Lawrence S, Bell, Karen L, Ances, Beau, Carroll, Maria, Leon, Sue, Mintun, Mark A, Schneider, Stacy, Oliver, Angela, Petersen, Ronald, Marson, Daniel, Griffith, Randall, Clark, David, Geldmacher, David, Brockington, John, Roberson, Erik, Grossman, Hillel, Mitsis, Effie, de Toledo-Morrell, Leyla, Shah, Raj C, Jack, Clifford R, Duara, Ranjan, Varon, Daniel, Greig, Maria T, Roberts, Peggy, Onyike, Chiadi, D'Agostino, Daniel, Kielb, Stephanie, Galvin, James E, Cerbone, Brittany, Michel, Christina A, Jagust, William, Rusinek, Henry, de Leon, Mony J, Glodzik, Lidia, De Santi, Susan, Murali Doraiswamy, P., Petrella, Jeffrey R, Wong, Terence Z, Arnold, Steven E, Karlawish, Jason H, Wolk, David, Trojanowski, John Q, Smith, Charles D, Jicha, Greg, Hardy, Peter, Sinha, Partha, Oates, Elizabeth, Conrad, Gary, Lopez, Oscar L, Oakley, MaryAnn, Simpson, Donna M, Porsteinsson, Anton P, Toga, Arthur W, Goldstein, Bonnie S, Martin, Kim, Makino, Kelly M, Saleem Ismail, M., Brand, Connie, Mulnard, Ruth A, Thai, Gaby, McAdams-Ortiz, Catherine, Womack, Kyle, Mathews, Dana, Beckett, Laurel, Quiceno, Mary, Diaz-Arrastia, Ramon, King, Richard, Weiner, Myron, Martin-Cook, Kristen, DeVous, Michael, I Levey, Allan, Lah, James J, Cellar, Janet S, Burns, Jeffrey M, Green, Robert C, Anderson, Heather S, Swerdlow, Russell H, Apostolova, Liana, Tingus, Kathleen, Woo, Ellen, Silverman, Daniel H S, Lu, Po H, Bartzokis, George, Graff-Radford, Neill R, Parfitt, Francine, Saykin, Andrew J, Kendall, Tracy, Johnson, Heather, Farlow, Martin R, Hake, Ann Marie, Matthews, Brandy R, Herring, Scott, Hunt, Cynthia, van Dyck, Christopher H, Carson, Richard E, MacAvoy, Martha G, Morris, John, Chertkow, Howard, Bergman, Howard, Hosein, Chris, Robin Hsiung, Ging-Yuek, Feldman, Howard, Mudge, Benita, Assaly, Michele, Bernick, Charles, Munic, Donna, Kertesz, Andrew, Chen, Guanqun, Shaw, Leslie, Rogers, John, Trost, Dick, Kerwin, Diana, Lipowski, Kristine, Wu, Chuang-Kuo, Johnson, Nancy, Sadowsky, Carl, Martinez, Walter, Villena, Teresa, Turner, Raymond Scott, Khachaturian, Zaven, Johnson, Kathleen, Reynolds, Brigid, Sperling, Reisa A, Johnson, Keith A, Marshall, Gad, Frey, Meghan, Lane, Barton, Rosen, Allyson, Tinklenberg, Jared, Sabbagh, Marwan N, Sorensen, Greg, Belden, Christine M, Jacobson, Sandra A, Sirrel, Sherye A, Kowall, Neil, Killiany, Ronald, Budson, Andrew E, Norbash, Alexander, Johnson, Patricia Lynn, Allard, Joanne, Lerner, Alan, Kuller, Lew, Ogrocki, Paula, Hudson, Leon, Fletcher, Evan, Carmichae, Owen, Olichney, John, DeCarli, Charles, Kittur, Smita, Borrie, Michael, Lee, T-Y, Bartha, Rob, Raichle, Marcus, Johnson, Sterling, Asthana, Sanjay, Carlsson, Cynthia M, Preda, Adrian, Nguyen, Dana, Tariot, Pierre, Reeder, Stephanie, Bates, Vernice, Capote, Horacio, Rainka, Michelle, Paul, Steven, Scharre, Douglas W, Kataki, Maria, Adeli, Anahita, Zimmerman, Earl A, Celmins, Dzintra, Brown, Alice D, Pearlson, Godfrey D, Blank, Karen, Anderson, Karen, Santulli, Robert B, Davies, Peter, Kitzmiller, Tamar J, Schwartz, Eben S, Sink, Kaycee M, Williamson, Jeff D, Garg, Pradeep, Watkins, Franklin, Ott, Brian R, Querfurth, Henry, Tremont, Geoffrey, Salloway, Stephen, Fillit, Howard, Malloy, Paul, Correia, Stephen, Rosen, Howard J, Miller, Bruce L, Mintzer, Jacobo, Spicer, Kenneth, Bachman, David, Pasternak, Stephen, Rachinsky, Irina, Drost, Dick, Hefti, Franz, Pomara, Nunzio, Hernando, Raymundo, Sarrael, Antero, Schultz, Susan K, Ponto, Laura L Boles, Shim, Hyungsub, Elizabeth Smith, Karen, Relkin, Norman, Chaing, Gloria, Raudin, Lisa, Holtzman, David, Smith, Amanda, Fargher, Kristin, Raj, Balebail Ashok, Neylan, Thomas, Grafman, Jordan, Davis, Melissa, Morrison, Rosemary, Hayes, Jacqueline, Finley, Shannon, Friedl, Karl, Liu, Chunhua, Mesulam, Marek M, Fleischman, Debra, Arfanakis, Konstantinos, James, Olga, Massoglia, Dino, Jay Fruehling, J., Harding, Sandra, Peskind, Elaine R, Petrie, Eric C, Li, Gail, Yesavage, Jerome A, Potter, William, Taylor, Joy L, Furst, Ansgar J, Snyder, Peter, Schwartz, Adam, Montine, Tom, Thomas, Ronald G, Donohue, Michael, Walter, Sarah, Gessert, Devon, Sather, Tamie, Jin, Shichen, Jiminez, Gus, Harvey, Danielle, Bernstein, Matthew, Thompson, Paul, Schuff, Norbert, Borowski, Bret, Gunter, Jeff, Senjem, Matt, Vemuri, Prashanthi, Jones, David, Li, Lanlan, Kantarci, Kejal, Ward, Chad, Koeppe, Robert A, Foster, Norm, Reiman, Eric M, Chen, Kewei, Mathis, Chet, Landau, Susan, Cairns, Nigel J, Householder, Erin, Jiang, Xueyan, Taylor-Reinwald, Lisa, Lee, Virginia, Korecka, Magdalena, Figurski, Michal, Crawford, Karen, Neu, Scott, Foroud, Tatiana M, Potkin, Steven G, Shen, Li, Faber, Kelley, Han, Ying, Kim, Sungeun, Nho, Kwangsik, Thal, Leon, Buckholtz, Neil, Albert, Marylyn, Frank, Richard, Hsiao, John, Kaye, Jeffrey, Quinn, Joseph, Lind, Betty, Initiative, Alzheimer’s Disease Neuroimaging, Carter, Raina, Dolen, Sara, Schneider, Lon S, Pawluczyk, Sonia, Beccera, Mauricio, Teodoro, Liberty, Spann, Bryan M, Brewer, James, Vanderswag, Helen, Fleisher, Adam, Weiner, Michael W, Heidebrink, Judith L, Lord, Joanne L, Mason, Sara S, Albers, Colleen S, Knopman, David S, Johnson, Kris, Doody, Rachelle S, Villanueva-Meyer, Javier, Chowdhury, Munir, Rountree, Susan
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: GeroScience
GeroScience 44(4), 2319-2336 (2022). doi:10.1007/s11357-022-00588-2
DOI: 10.1007/s11357-022-00588-2
Popis: Exploring individual hallmarks of brain ageing is important. Here, we propose the age-related glucose metabolism pattern (ARGMP) as a potential index to characterize brain ageing in cognitively normal (CN) elderly people. We collected (18)F-fluorodeoxyglucose ((18)F-FDG) PET brain images from two independent cohorts: the Alzheimer’s Disease Neuroimaging Initiative (ADNI, N = 127) and the Xuanwu Hospital of Capital Medical University, Beijing, China (N = 84). During follow-up (mean 80.60 months), 23 participants in the ADNI cohort converted to cognitive impairment. ARGMPs were identified using the scaled subprofile model/principal component analysis method, and cross-validations were conducted in both independent cohorts. A survival analysis was further conducted to calculate the predictive effect of conversion risk by using ARGMPs. The results showed that ARGMPs were characterized by hypometabolism with increasing age primarily in the bilateral medial superior frontal gyrus, anterior cingulate and paracingulate gyri, caudate nucleus, and left supplementary motor area and hypermetabolism in part of the left inferior cerebellum. The expression network scores of ARGMPs were significantly associated with chronological age (R = 0.808, p
Databáze: OpenAIRE