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1. Humoral profiles of toddlers and young children following SARS-CoV-2 mRNA vaccination

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Nziza, Nadège, Deng, Yixiang, Wood, Lianna, Dhanoa, Navneet, Dulit-Greenberg, Naomi, Chen, Tina, Kane, Abigail S., Swank, Zoe, Davis, Jameson P., Demokritou, Melina, Chitnis, Anagha P., Fasano, Alessio, Edlow, Andrea G., Jain, Nitya, Horwitz, Bruce H., McNamara, Ryan P., Walt, David R., Lauffenburger, Douglas A., Julg, Boris, Shreffler, Wayne G., Alter, Galit, and Yonker, Lael M.

Published
2024
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2. Measurement of circulating viral antigens post-SARS-CoV-2 infection in a multicohort study

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Abraham, Rachael, Ager, Arijan, Aguilar, Franchesca A., Ahmadi-Izad, Ghazal, Ahmed, Dilshad R., Alvarez, Alicarmen, Anderson, Blake, Asencios, Walter D., Atha, Mary, Beaty, Casey L., Bedi, Brahmchetna, Berry, Jasmine A., Boone, Donchel, Bower, Mary, Bremner, James D., Brent, Corbin, Brown-Smith, Ke'Ara, Bull, Rachel, Bush, Patricia A., Capo, Gustavo, Carl-Igwe, Kelechi, Chitadze, Calista, Chukwumerije, Nachi, Clyburn, Erna, Collins, Shelby, Costello, Julie, Couture, Grace, Craft, Angel, Cribbs, Sushma K., Cui, Xiangqin, Dandy, Annette, Rio, Carlos del, Jasarevic, Rijalda, Detelich, Joshua F., Dixon, Cartia, Dow, Jeanne, Doyle, D'Andrea, Elchommali, Jannah, Ibeawuchi, Carmel, Elsey, Imani, Fineman, Rebecca, Francis, Anyssa G., Franks, Nicole, Gallini, Julia, Gander, Jennifer C., Gray, Natalie, Grimes, Ash, Gutter, Evan, Han, Jenny E., Hang, Tina P., Harding, Jess, Hernandez, Liliana, Hewitt, Lauren N., Holloway, Carla, Hudgins, Alex F., Huerta, Christopher, Ifejika, Cynthia, Ingram, Ketteria D., Javia, Vidhi N., Jeter, Mykayla, Johnson, Brandi, Joseph, Yasha, Juarez, Monica, Kajan, Dana, Khalil, Lana, Kirkpatrick, Caitlin M., Kleinhenz, Dean, Kolailat, Imanii, Koumanelis, Athena, Koumanelis, Alexandra, Kozoman, Rebecca, Krishnan, Shilpa, Lainez, Jordi, Lawrence, Brianna, Lee, Matthew A., Leon, Jose D., Lew, Valerie, Lewis, Kennedy C., Litvack, Matthew, Maroney, Mara, Maier, Cheryl L., Makkaoui, Nour, Marconi, Vincent C., Martin, Christopher F., Martinez, Monica, Mbogo, Loice, McCaslin, Atuarra, McIntyre, Jerrod, Moanna, Abeer, Montoya, Miranda, Morales, Elena, Moran, Caitlin A., Morgan-Billingslea, Jan, Murray, Calista, Nelson, Roslin, Neuman, Robert B., Nguyen, Tran, Ofotokun, Ighovwerha, Ojemakinde, Elizabeth I., Ojoawo, Bukkie, Osinski, Eileen, Oviedo, Sofia, Panganiban, Bernadine, Paredes-Gaitan, Yolanda, Patzer, Rachel E., Pemu, Priscilla, Prude, Michael, Rahman, Kazi, Ramakrishnan, Grace, Rebolledo, Paulina A., Roberts, Marjorie, Robinson, Keysha, Rogers, Chantrice, Rouphael, Nadine G., Searles, Charles, Shah, Anand, Segall, Marni, Shaw, Renata M., Silva, Ruvina, Simpson, Cheryl, Simpson-Derrell, Krystal, Sirajud-Deen, Talib, Smith, Veronica E., Stringer, Andre, Stroud, Jacob, Suthar, Mehul S., Sylber, Cory, Sylvera, Ashley, Tanner, Tehquin, Teunis, Larissa J., Tolbert, Maliya, Thomas, Kodasha M., Thompson, Sierra G., Titanji, Kehmia, Toy, Christopher, Traenkner, Jessica, Truong, Alex, Unterberger, Kristen, Vaccarino, Viola, Varney, Kris, Vyas, Kartavya, Vyas, Kurt, Walker, Tiffany A., Walkow, Max, Wang, Dongli, Wesley, Tamara, Wiley, Zanthia, Wimberly, Erika, Winston, Juton R., Winter, Terra J., Wongtrakool, Cherry, Aikawa, Masanori, Alba, George A., Aung, Taing N., Baden, Lindsey, Baslet, Gaston, Bassett, Ingrid V., Bennett, Lindsey, Bhattacharyya, Shamik, Blazey-Martin, Deborah, Buring, Julie, Cagnina, Rebecca E., Chen, Li Qing, Clark, Cheryl R., Cohen, Pieter, Collier, Ai-Ris, Czeisler, Charles, Duffy, Elizabeth, Estill, Peter, Fong, Tamara, Gay, Elizabeth, Ghamloush, Maher, Ginns, Leo C., Haack, Monika, Haas, Jennifer, Hamburg, Naomi, Hauser, Kristine S., John, Janice, Jordan, Michael, Juelg, Boris D., Kanjilal, Diane G., Kim, Arthur Y., Klerman, Elizabeth B., Kobayashi, Misaki ., Kogelman, Laura, Lamas, Daniela, Levy, Bruce D., Levy-Carrick, Nomi, Lewis, Gregory, Maley, Jason H., Manson, JoAnn, Marathe, Jai G., Mullington, Janet M., O'Connor, George T., Ojikutu, Bisola, Perlis, Roy, Quintana, Yuri, Redline, Susan, Remis, Elijah J., Rosand, Jonathan, Sesso, Howard D., Shaughnessy, Lynn, Shepherd, Fitzgerald M., Solomon, Scott, Sparks, Jeffrey A., Spencer, Lia L., Stephenson, Kathryn, Systrom, David, Thomas, Robert J., Min Thu, Phyo Phyo, Ticotsky, Amberly, Torres, Robert, Wallace, Zachary S., Walt, David, Ward, Honorine D., Washko, George, Whittelsey, Maureen, Wiener, Rebecca, Williams, Charles T., Xerras, Dean, Zhang, Haihua, Zionts, Danielle, Armstrong, Donna, Binkley, Susan E., Blackwell, Kenneth, Brown, Todd, Carton, Thomas W., Causey, Annalia, Cook, Felice, Daniel, Casey L., Datri, Paula, Domingo, Julio, Donahue, Conner, Eady, Maitlyn, Edberg, Jeffrey, Erdmann, Nathaniel, Fuloria, Jyotsna, Garcia-McClaney, Noah, Garner, Melissa, Gillespie, Mark, Gray, Brandon, Hagensee, Michael, Hall, Wanda, Hansel, Jamie, Hart, Cady, Hebson, Camden L., Hidalgo, Bertha, Holtzapfel, Kaylen, Jinright, Alexis, Judd, Suzanne E., Kennedy, Teri, Kirkwood, Leigh, Leggio, Cathryn, Levitan, Emily B., Maier, Megan, McCormack, Patricia, Miele, Lucio, Mitchell, Kevin, Montgomery, Aoyjai, Peralta-Carcelen, Myriam, Perkins, Allen, Pilco, Juan P., Powell, Leigh, Shevin, Rachael, Skipworth, Sidney, Spurgeon, Leah, Sutherland, Erica, Tita, Alan T., Trauth, Amber, Trotter, Siobhan, Van Deerlin, Alexander, Ware, Gregory, Weiser, Sharon, Wilson, Rosanne, Woodruff, Dana, Wu, Jing, Young, Madeline, Alemu, Mhret, Anderson, Jordan, Ashktorab, Hassan, Brim, Hassan, Chang, Linda, Chauhan, Mahak, Cho, Sung, Durrani, Saima, Gentil, Monique P., Goodman, Karli, Laiyemo, Adeyinka O., Lanke, Gandi, Lebron, Ralph, Maheshwari, Anurag, Mehari, Alem, Nezamloo, Ali, Ngwa, Julius, Njoku, Noelle, Ok, Jina, Sherif, Zaki A., Solemani, Akbar, Thuluvath, Paul, To, Chau, Spikes, Leslie A., James, Judith A., Luciano Roman, Carlos A., Chow, Dominic C., Marshall, Gailen D., Dickinson, John D., Hoover, Susan E., Warren, David E., Emery, Ivette F., Sukhera, Fatima I., Rosen, Clifford J., Greenway, Frank L., Hodder, Sally L., Shikuma, Cecilia M., VanWagoner, Timothy M., Bardes, James M., Kirwan, John P., Wood, Jeremy P., Whiteheart, Sidney W., Shellito, Judd, Roelke, Theresa, Black, Lora, Tjarks, Brian, Fonseca, Vivian, Gupta, Shaveeta, Longo, Michele, Yang, Mei, MarGangcuangco, Louis, Bengtson, Charles, Castro, Mario, Howard, Theresa, Garvy, Beth, Simmons, Christopher, Garla, Vishnu, Kuebler, Joy, Nandi, Utsav, Vasey, Andrew, Bogie, Amanda, Scott, James, Frontera, Sigrid Perez, Bagur, Jorge Santana, Dominique-Villanueva, Daphne, Juskowich, Joy, Reece, Rebecca, Sarwari, Arif, Aponte-Soto, Lisa, Adams, Dara, Baker, Aileen, Barbera, Sunni, Basu, Sanjib, Bleasdale, Susan, Bolliger, Dawn, Boyd, Andrew D., Boyineni, Jerusha, Breiter, Taylor, Brown, Daniel, Buhimschi, Irina A., Carrithers, Michael D., Certa, Marta, Chalamalla, Rashmika, Chebrolu, Praneeth, Chestek, David, Chessier, Erica, Cook, Judith A., Cranford, Savannah, Curry, Hannah L., Darbar, Dawood, Dasgupta, Raktima, Blakley, Felicia Davis, DeLisa, Julie A., Del Rios, Marina, Diaz, Maya Z., Diviak, Kathleen R., Dixon, Jennifer, Donlon, Meghan F., Donohue, Sarah E., Dworkin, Mark S., Edmonds, Sherrie, Ellison, Angela, Everett, Emily, Flanigan, Clarie, Freedman, Michael B., Gale, Lisa, Gerald, Lynn B., Giles, Wayne H., Gordon, Howard S., Hafner, John, Hammad, Bayan, Hanson, Keith A., Harris, Pastor C., Hartwig, Kimberly, Hasek, Sharon, Hasse, Wendy, Hendrickson, Monica, Hobbs, Brianna, Hryniewicka, Martyna, Hammerl, Savannah, Hutton, Robert, Ibanez, Alejandra L., Illendula, Sai D., Ismail, Nahed, Jain, Akash, Jennette, Kyle J., Kadubek, Grace, Kent, Denise, Kotini-Shah, Pavitra, Kelly, Sara W., Kent, Denise A., Kim, Keri S., Kindred, Elijah, Klein, Jonathan D., Krishnan, Jerry A., Large, Lucia, Lash, James ., Lin, Janet Y., Lu, Jun, Mahamed, Abeer M., Maholovich, Phoebe, Malchenko, Sergey, Martinez, Miriam, Mauntel-Medici, Cammeo, Madineni, Abhigna, McCauley, Mark, Menchaca, Martha, Mermelstein, Robin, Moreno, David J., Morrissy, Liam, Muramatsu, Naoko, Musick, Hugh, Noland, Seth, Norwick, Lourdes, Novak, Richard M., Olds, Lela, Ortiz, Marilyn, Patel, Khushboo, Perez, Nicolas L., Pliskin, Neil H., Pope, Sam, Prabhakar, Bellur S., Prasad, Bharati, Predki, Barbara, Prendergast, Heather M., Quigley, John G., Ramchandran, Ramaswamy, Ramirez, Ana, Rappe, Sarah, Rehman, Jalees, Rolon, Cesar, Rowley, Matthew, Rudraraju, Gowrisree, Rutherfoord, Melissa, Sader, Samer B., Sculley, Jennifer A., Smith-Mack, Jerisha, Swearingen, Peyton, Stewart de Ramirez, Sarah A., Sudhindra, Praveen, Sun, Jun, Tartt, Nancy, Terlinde, Tracy, Thompson, Tiffany, Vanden Hoek, Terry L., Kelly, Sara Warfield, Villanueva, Laura, Welter, Hannah, Woolley, Brittany, Yazici, Cemal, Charney, Alexander W., Kovatch, Patricia, Merad, Miriam, Nadkarni, Girish N., Wisnivesky, Juan P., Aberg, Judith A., Ascolillo, Steven, Assenso, Esther, Bagiella, Emilia, Bartram, Logan, Becker, Jacqueline, Beckmann, Noam D., Bendl, Ashley, Chen, Benjamin K., Civil, Alyssa, Dhar, Kaberi, Evo-Ortega, Lorraine, Fierer, Daniel, Gallagher, Emily J., Garcia-Sastre, Adolfo, Gnjatic, Sacha, Guliyeva, Sabina, Harvey-Ingram, Lori, Herrera-Moreno, Julia, Hill, Matthew, Horowitz, Carol R., Jackson, Rachel, Kastrat, Din, Lala-Trindade, Anu, Lin, Jenny, Macaluso, Nick, Marcon, Kathryn, Meyer, Dara, Morinigo, Janice, Natelson, Benjamin H., Nussenzweig, Maya, Padua, Tiffani, Putrino, David, Quazi, Nawreen, Ramos, Michelle, Richardson, Lynne, Russo, Scott, Seifert, Alan C., Serri, Abdullah, Walker, Jordan, Yee, Michell, Adolphi, Natalie L., Alekhina, Natalya, Archuleta, David A., Barlocker, Jackson, Bateman, Lucinda, Bradfute, Steven B., Brito, Rebecca, Bryan, Tanner W., Buck, Kaitlin E., Davis, Debra, Deakyne Davies, Sara J., Decker, Lauren A., Elifritz, Jamie, Erlandson, Kristine M., Facelli, Julio C., Fudge, Harrison Z., Tran, Huong, Pitch, Chloe, Feuerriegel, Elen M., Ford, Isaac, Friedman, Naomi P., Garcia-Soberanez, Noella D., Gardner, Edward M., Stringham, Caitlyn, Ling, Leah, Gebremariam, Tewodros H., Gentry, Frederick D., Gouripeddi, Ramkiran, Graham, Paige, Gronert, Eve G., Harkins, Michelle S., Hawkins, Kellie L., Hess, Rachel, Johnny, Jace D., Johnson, Brandon M., Jolley, Sarah E., Lloyd, Jennifer, Ludwig, Katelyn R., Martinez, Noah I., McCandless, Sean A., Montoya, Lorenzo A., Oakes, Judy L., Parada, Alisha N., Quinn, Davin K., Raissy, Hengameh, Ramos, Alfredo, Reid, Kayleigh M., Reusch, Jane E., Sheehan, Elyce B., Sokol, Ron J., Treacher, Irena S., Trinity, Joel D., Truong, Dongngan T., West, Shelby C., Molden, Joie, Sharareh, Nasser, Weaver, Lisa J., Spivak, Adam M., Brown, Jeanette P., Shah, Kevin S., Pace, Laura A., Scholand, Mary Beth, Velinder, Matt, Cortez, Melissa, Morimoto, Sarah Shizuko, Vernon, Suzanne D., Lu, Yue, Owen, Megan, Hermansen, Jessica A., Lindsay, Ashton M., Donohue, Dagny K., Garg, Lohit, Wodushek, Thomas, Higgins, Janine, Lockie, Tim, Brightman, Marisa, Thurman, Brook, Powell, Jenny M., Freston, Dylan C., Medina, Juliemar C., Aguirre, Bailee, Anderson, Jeff, Bair, Tami, Bosh, Lindsay, Evans, Lorlie, Garrett, Chase, Harris, Dixie, Herrera, Katherine, Horne, Benjamin D., Juan, James, Knight, Stacey, Knowlton, Kirk, Leither, Lindsay, Maestas, Heather, May, Heidi T., Najarian, Gabriel, Woller, Scott C., Zubal, Shyanne, Jensen, McKenna M., Webb, Tiaura, Iverson, Leslie, Ayache, Mirna, Baloi, Alexis, Barnboym, Emma, Boldt, Nicholas, Bukulmez, Hulya, Chesnick, Hailey, Conrad, Ann, Consolo, Mary, Curtis, Lynette, D’anza, Brian, DiFrancesco, Kathryn, Edminston, Marissa, Eteshola, Ebenezer, Gallagher, Michelle, Gibson, Kelly S., Gordesky, Larraine, Greenwood, Carla, Haghiac, Maricela, Harris, Paul, Hernandez, Carla, Iqbal, Shirin, Kaelber, David C., Kaufman, Elizabeth S., Kennedy, Olivia, Labbato, Danielle, Lengu, Ketrin, Levert, Antonio, Levin, Jennifer, Lowenthal, Rebecca, Mackin, Bridget, Malakooti, Shahdi K., McComsey, Grace A., Minium, Judy, Mouchati, Christian, Oleson, Christine, Pearman, Ann, Hershey, Morgan, Rivera, Amanda, Rodgers, Michael, Rodgers, Theresa, Roy, Arnab, Russ, Kris, Scott, Sarah, Sheth, Niyati, Singer, Nora G., Smith, Beth, Smith, Cheryl, Stancin, Terry, Temple, Daniel, Tribout, Megan, Weinberger, Elisheva, Zhang, David, Zisis, Sokratis N., Atieh, Ornina, Yendewa, George, Baissary, Jhony, Pettinato, KImberly, Lim, Joaquin, Jacob, Joshua, Adams, Cara, Tejani, Viral, Algren, Heather A., Alicic, Radica, Baxter, Joni, Brennan, Conor, Caudill, Antonina, Chen, Peter, Chopra, Tananshi, Chu, Helen Y., Del Alcazar, James, Duven, Alexandria M., Edmark, Rick, Emerson, Sarah, Goldman, Jason D., Gutierrez, Vanessa, Hadlock, Jennifer, Harteloo, Alex, Heath, James R., Hood, Susan, Jackman, Susan, Kaneko, John, Kemp, Megan, Kim, Christina, Kuykendall, Kelli, Li, Sarah, Logue, Jennifer K., Magis, Andrew T., Manner, Paula, Mason, Carly, McCaffrey, Kathryn, McDonald, Connor, McDonald, Dylan, Murray, Kim M., Nackviseth, Callista, Nguyen, Helen, Parimon, Tanyalak, Poussier, Rachel, Rowen, Lee, Satira, Richard, Torbati, Sam, Tuttle, Katherine R., Wallick, Julie A., Yuan, Dan, Watanabe, Kino, Wilcox, Lauren E., Contreras, Fatima, Dahlke, Lea, Gudipudi, Lasya, Modes, Matthew, Muttera, Nicole, Salinas, Nancy, Tadeo, Josie, White, Shane, Alvarado, Stephanie, Anderson, Reed, Arellanes, Azaneth, Barajas, Rose A., Chauhan, Suneet P., Clarke, Geoffrey D., Farner, Cheryl E., Fischer, Melinda S., Goldberg, Mark P., Hasbani, Keren, Hastings, Gabrielyd, Heard, Patricia, Herrera, Italia, Infante, Edgar, Johnson, Hillary, Jones, Johnnie, Kellogg, Dean L., Kraig, Ellen, Longoria, Lisa, Nambiar, Anoop M., Okafor, Emeka, Paredes, Claudia C., Patterson, Thomas F., Patterson, Jan E., Pinones, Alexis, Potter, Jennifer S., Reeves, W.B., Saade, George R., Salehi, Marzieh, Scholler, Irma, Seshadri, Sudha, Shah, Dimpy P., Shah, Pankil, Sharma, Kumar, Sharma, Kavita, Soileau, Bridgette, Solis, Pamela, Stoebner, Carmen, Sullivan, Michael, Taylor, Barbara S., Tragus, Robin, Tsevat, Joel, Verduzco-Gutierrez, Monica, Ahuja, Neera, Blish, Catherine A., Blomkalns, Andra L., Bonilla, Hector, Brotherton, Richard, Clinton, Kimberly, Dingankar, Vaidehi, Geng, Linda N., Go, Minjoung, Haddad, Francois, Jagannathan, Prasanna, Jamero, Christopher, Jee, Kathryn, Jia, Xiaolin K., Khurana, Naresh, Kumar, Andre, Maldonado, Yvonne, Miglis, Mitchell G., O'Conor, Ellen, Olszewski, Kelly, Pathak, Divya, Quintero, Orlando, Scott, Jake, Singh, Upinder, Urdaneta, Alfredo E., Utz, Paul J., Varkey, Mary R., Saperia, Corey, Autry, Lynn, Bime, Christian, Borwege, Sabine, Copeland, Jacquelynn, DiLise-Russo, Marjorie, Ernst, Kacey C., Esquivel, Denise R., Fadden, Susan, Gomez, Isaias, Grischo, Garrett, Hansen, Lillian, Harris, David T., Harris, Stefanie, Hartley, William, Hernandez, Michael, Hillier, Leah, Hsu, Harvey, Hughes, Trina, Ismail, Hira, Iusim, Stephanie, James, Michelle, Kala, Mrinalini, Karnafel, Maria, Kim, Daniel, Knox, Kenneth S., Koleski, Alison, LaFleur, Bonnie, Lambert, Brenda, LaRue, Sicily, Lee-Iannotti, Joyce K., Lieberman, David, Lutrick, Karen, Merchant, Nirav, Morton, Christopher, Mosier, Jarrod M., Murthy, Ganesh, Nikolich, Janko Z., Olorunnisola, Toluwanimi, Parthasarathy, Sairam, Peralta, Jeanette, Pilling, William, Pogreba-Brown, Kristen, Reiman, Eric M., Rischard, Franz P., Ryan, Lee T., Smith, Terry, Snyder, Manuel, Soto, Francisco, Subbian, Vignesh, Suhr, Kyle, Unzek, Samuel, Vadovicky, Sheila, Velarde, Deanna, Veres, Sharry, Wilson, Cathleen, Anderson, Grace, Anglin, Khamal, Argueta, Urania, Asare, Kofi, Buitrago, Melissa, Chang Song, Celina, Clark, Alexus, Conway, Emily, Deeks, Steven G., Del Castillo, Nicole, Deswal, Monika, Durstenfeld, Matthew S., Eilkhani, Elnaz, Eun, Avery, Fehrman, Emily, Figueroa, Tony, Flores, Diana, Grebe, Halle, Henrich, Timothy J., Hoh, Rebecca, Hsue, Priscilla, Huang, Beatrice, Ibrahim, Rania, Kelly, John D., Kerbleski, Marian, Kirtikar, Raushun, Lew, Megan T., Lombardo, James, Lopez, Monica, Luna, Michael, Marquez, Carina, Martin, Jeffrey N., Munter, Sadie, Ngo, Lynn, Peluso, Michael J., Pineda-Ramirez, Jesus, Rhoads, Kim, Rodriguez, Antonio, Romero, Justin, Ryder, Dylan, So, Matthew, Somsouk, Ma, Tai, Viva, Tran, Brandon, Uy, Julian, Valdivieso, Daisy, Verma, Deepshika, Williams, Meghann, Zamora, Andhy, Newman, Lisa T., Abella, Julie, Barnette, Quinn, Bevc, Christine, Beverly, Jennifer, Ceger, Patricia, Croxford, Julie, Enger, Mike, Fain, Katie, Farris, Tonya, Hanlon, Sean, Hines, David, Johnson-Lawrence, Vicki, Jordan, Kevin, Lefebvre, Craig, Linas, Beth, Luukinen, Bryan, Mandal, Meisha, McKoy, Nikki J., Nance, Susan, Pasquarelli, Demian, Quiner, Claire, Sembajwe, Rita, Shaw, Gwendolyn, Thornburg, Vanessa, Tosco, Kendall, Wright, Hannah, Gross, Rachel S., Hochman, Judith S., Horwitz, Leora I., Katz, Stuart D., Troxel, Andrea B., Adler, Lenard, Akinbo, Precious, Almenana, Ramona, Aschalew, Malate, Balick, Lara, Bello, Ola, Bhuiyan, Sultana, Blachman, Nina, Branski, Ryan, Briscoe, Jasmine, Brosnahan, Shari, Bueler, Elliott, Burgos, Yvette, Caplin, Nina, Chaplin, Domonique, Chen, Yu, Cheng, Shen, Choe, Peter, Choi, Jess, Chung, Alicia, Church, Richard, Cobos, Stanley, Croft, Nakia, Irving, Angelique Cruz, Del Boccio, Phoebe, Díaz, Iván, Divers, Jasmin, Doshi, Vishal, Dreyer, Benard, Ebel, Samantha, Esquenazi-Karonika, Shari, Faustin, Arline, Febres, Elias, Fine, Jeffrey, Fink, Sandra, Freeland, Catherine, Frontera, Jennifer, Gallagher, Richard, Gonzalez-Duarte, Alejandra, Gross, Rachel, Hasson, Denise, Hill, Sophia, Hochman, Judith, Horwitz, Leora, Hossain, Jennifer, Islam, Shahidul, Jean, Christina Saint, Johnson, Stephen, Kansal, Neha, Katz, Stuart, Kenney, Rachel, Kershner, Tammy, Kewlani, Deepshikha, Kwak, Judy, Lamendola-Essel, Michelle F., Laury, Sarah, Laynor, Gregory, Lei, Lei, Leon, Terry, Linton, Janelle, Logan, Max, Malik, Nadia, Mamistvalova, Lia, Mandel, Hannah, Maranga, Gabrielle, Mattoo, Aprajita, Mei, Tony, Mendelsohn, Alan, Mercier, Emmanuelle, Vernetti, Patricio Millar, Miller, Marc, Mitchell, Maika, Moreira, Andre, Mudumbi, Praveen C., Nahin, Erica, Nair, Nandini, Nekulak, Joseph, Owens, Kellie, Parent, Brendan, Patibandla, Nandan, Petrov, Peter, Postelnicu, Radu, Pratt, Francesca, Randall, Isabelle, Rao, Priyatha, Rapkiewicz, Amy, Rizzo, JohnRoss, Rosas, Johana, Rose, Chelsea, Saint-Jean, Christina, Santacatterina, Michelle, Shah, Binita, Shaukat, Aasma, Simon, Naomi, Simsir, Aylin, Stinson, Miranda, Tang, Wenfei, Tatapudi, Vasishta, Thawani, Sujata, Thomas, Mary, Thorpe, Lorna, Tom, MeeLee, Treiha, Ethan, Troxel, Andrea, Truong, Jennifer, Udosen, Mmekom, Valencia, Carlos, Velazquez-Perez, Jessica, Vernetti, Patricio M., Vidal, Crystal, Viswanathan, Anand, Willerford, Amy, Williams, Natasha, Wong, Crystal, Wood, Marion J., Wuller, Shannon, Yin, Shonna H., Young, Chloe, Zaretsky, Jonah, Zavlunova, Susanna, Ahirwar, Shreya, Ahmed, Shifa, Ainsworth, Layne L., Atchley-Challenner, Rachel, Avilach, Paul, Balan, Trisha T., Benik, Nicholas, Benoit, Barbara, Bind, Marie-Abèle C., Bonaventura, William J., Boutin, Natalie, Brion, Beverly, Cagan, Andrew, Cai, Tianrun, Cao, Tingyi, Castro, Victor M., Cerretani, Xander R., Chan, James G., Cheng, David, Chibnik, Lori B., Ciriello, Mark, Costenbader, Karen, Dimitrov, Dimitar S., Estiri, Hossein, Fayad, Maria, Feldman, Candace H., Foulkes, Andrea, Gainer, Vivian, Ghosh, Bhaswati, Gollub, Randy, Guan, Zoe, Harris, Alan, Helmer, Karl, Hendrix, Andrew, Holzbach, Ana, Huang, Weixing, Karlson, Elizabeth W., Kaufman, Daniel, Keogh, Diane, Kerr, James D., Klann, Jeffrey G., Krishnamoorthy, Aparna, Lasky-Su, Jessica A., Liao, Katherine P., MacFadden, Doug, Maram, Anupama, Martel, Megan W., Mendis, Michael, Metta, Reeta, Monteiro, Jonathan, Morales, Eduardo, Morse, Richard E., Murphy, Shawn, Nazaire, Marc-Danie, Neils, Gregory, Nguyen, Amber N., Norman, James, Paik, Henry H., Pant, Deepti, Park, HeeKyong, Rabideau, Dustin J., Reeder, Harrison T., Rossi-Roh, Kathleen, Santacroce, Leah M., Schlepphorst, Katherine, Schulte, Carolin, Selvaggi, Caitlin A., Shinnick, Daniel J., Simons, William, Simpson, Lynn A., St. Jean Flanders, Mary L., Strasser, Zachary, Thakrar, Mansi R., Thaweethai, Tanayott, Thorn, Madeleine, Trewett, Philip, Van Fleet, Dustin, Wagholikar, Kavishwar B., Wang, Taowei D., Wattanasin, Nich, Weber, Griffin, Williams, Michael A., Zhang, Ren Zhe, Cicek, Mine, Chang, Nancy, Wirkus, Samantha, Zahnle, Nicole, Flotte, Thomas J., Frisch, Erika, Boysen, Erik M., Welch, Gary, Akintonwa, Teresa, Blancero, Frank, Brown, Heather-Elizabeth, Carmilani, Megan, Cerda, Marta, Clash, Victor H., Copeland, Debra, Hall, Yvonka, kevin kondo, Lerma, Lydia, Lindsay, Jacqui, Marti, Heather, Maughan, Christine, Minor, Tony, Taylor, Brittany, Vincent, Hyatt, Zissis, Mike, Anderson, Brett, Bardhan, Sujata, Castro-Baucom, Leah, Chisolm, Deena, Corchado, Claudia, Damian, April Joy, Daniel, Casey, DasGupta, Soham, Dehority, Walter, Feldman, Candace, Fessel, Josh, Rosas, Lisa Goldman, Horowitz, Carol, Khullar, Dhruv, Lopez, Keila, McDonald Pinkett, Shelly, Myaskovsky, Larissa, Regino, Lidia, St John Thomas, Gelise, Stewart de Ramirez, Sarah, Vangeepuram, Nita, Walden, Anita, Williams, Neely, Yin, Shonna, Burton, Phoebe, Catallozzi, Marina, Clark, Cheryl, Dworetzky, Beth, Edwards, Belinda, Ferrer, Robert L., Judd, Suzanne, Rothman, Russell, Wagner, Laura, Wallace, Ann, Adams, Sonseeahray (Ray), Aragon, Leyna, Bander, Bryan, Bishof, Karyn, Brooks, Gail, Carignan, Etienne, Coombs, Krista, Davis, Hannah, Blakley, Felicia D., Diggs, Marissa, Brown, Heather E., Favors, Umar, Fields, Whitney, Fisher, Liza, Fitzgerald, Megan, Gaffney, Alicia, Witvliet, Margot Gage, Garcia, Roberto, Gustafson, Tyler, Guthe, Nick, Holmes, Verna, Hornig, Mady, Hornig, Maxwell, Jefferson, Wendy, Kochis, Nancy, Kondo, Kevin, Lam, Julie, Lawrence, Fadwa, Letts, Rebecca, Lewis, Juan, Lopez, Silcia, Martinez, Thomas, McCorkell, Lisa, McGrath, Rebecca, Minor, Thomas T., Moore, Charita, Nguyen, Kian, Nichols, Lauren, O'Brien, Lisa, Olson, Holly, Peddie, Aimee, Perlowski, Alice, Lorenzo, Elizabeth P., Prentiss, Lisa, Raytselis, Nadia, Rochez, Nitza, Rockwell, Megan, Rutter, Jacqueline, Seibert, Elle, Sekar, Anisha, Smith, Chimere, Stiles, Lauren, Taylor, Emily, Thompson, Julie, Trapp, Stephen, Valdiva, Stephen, Wilensky, Rochelle, Williams, Melissa, Dawson, Kay W., Wylam, Andrew, Swank, Zoe, Borberg, Ella, Chen, Yulu, Senussi, Yasmeen, Chalise, Sujata, Manickas-Hill, Zachary, Yu, Xu G., Li, Jonathan Z., Alter, Galit, Kelly, J. Daniel, Goldberg, Sarah A., Talla, Aarthi, Li, Xiaojun, Skene, Peter, Bumol, Thomas F., Torgerson, Troy R., Czartoski, Julie L., McElrath, M. Juliana, and Walt, David R.

Published
2024
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3. Heterologous SARS-CoV-2 booster vaccine for individuals with hematological malignancies after a primary SARS-CoV-2 mRNA vaccine series

Author

Sherman, Amy C., van Haren, Simon D., Borberg, Ella, Swank, Zoe, Aleissa, Muneerah, Tong, Alexandra, Rooks, Rebecca, Kanwal, Urwah, Levine, Hannah, Yates, Bridget, Izaguirre, Natalie, Ryff, Kevin, Thomas, Sanya, Parisi, Lindsey, Li, Xiaofang, Walt, David R., Levy, Ofer, Walsh, Stephen R., Issa, Nicolas C., and Baden, Lindsey R.

Published
2024
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10. High Frequency of Prior Severe Acute Respiratory Syndrome Coronavirus 2 Infection by Sensitive Nucleocapsid Assays.

Author

Nkolola, Joseph P, Liu, Jinyan, Collier, Ai-ris Y, Jacob-Dolan, Catherine, Senussi, Yasmeen, Borberg, Ella, Swank, Zoe, Walt, David R, and Barouch, Dan H

Subjects
COVID-19, STAINS & staining (Microscopy), SARS-CoV-2, SEROLOGY
Abstract

Prior infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is typically measured by nucleocapsid serology assays. In this study, we show that the Simoa serology assay and T-cell intracellular cytokine staining assay are more sensitive than the clinical Elecsys assay for detection of nucleocapsid-specific immune responses. These data suggest that the prevalence of prior SARS-CoV-2 infection in the population may be higher than currently appreciated. [ABSTRACT FROM AUTHOR]

Published
2024
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11. Efficient discovery of antibody binding pairs using a photobleaching strategy for bead encoding.

Author

Roth, Shira, Ferrante, Tom, and Walt, David R.

Subjects
IMMUNOASSAY, HEAT sinks, IMMUNOGLOBULINS, ANTIBODY titer, FLOW cytometry, ENCODING, PHOTOPLETHYSMOGRAPHY
Abstract

Dye-encoded bead-based assays are widely used for diagnostics. Multiple bead populations are required for multiplexing and can be produced using different dye colors, labeling levels, or combinations of dye ratios. Ready-to-use multiplex bead populations restrict users to specific targets, are costly, or require specialized instrumentation. In-house methods produce few bead plexes or require many fine-tuning steps. To expand bead encoding strategies, we present a simple, safe, and cost-effective bench-top system for generating bead populations using photobleaching. By photobleaching commercially available dye-encoded magnetic beads for different durations, we produce three times as many differentiable bead populations on flow cytometry from a single dye color. Our photobleaching system uses a high-power LED module connected to a light concentrator and a heat sink. The beads are photobleached in solution homogeneously by constant mixing. We demonstrate this photobleaching method can be utilized for cross-testing antibodies, which is the first step in developing immunoassays. The assay uses multiple photobleached encoded beads conjugated with capture antibodies to test many binding pairs simultaneously. To further expand the number of antibodies that can be tested at once, several antibodies were conjugated to the same bead, forming a pooled assay. Our assay predicts the performance of antibody pairs used in ultrasensitive Simoa assays, narrowing the number of cross-tested pairs that need to be tested by at least two-thirds and, therefore, providing a rapid alternative for an initial antibody pair screening. The photobleaching system can be utilized for other applications, such as multiplexing, and for photobleaching other particles in solution. [ABSTRACT FROM AUTHOR]

Published
2024
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12. Research

Author

Walt, David

Published
2021

15. Heterotypic immunity from prior SARS-CoV-2 infection but not COVID-19 vaccination associates with lower endemic coronavirus incidence.

Author

Bean, David J., Monroe, Janet, Liang, Yan Mei, Borberg, Ella, Senussi, Yasmeen, Swank, Zoe, Chalise, Sujata, Walt, David, Weinberg, Janice, and Sagar, Manish

Subjects
CORONAVIRUS diseases, SARS-CoV-2, COVID-19 vaccines, CORONAVIRUSES, VIRAL antigens
Abstract

Immune responses from prior severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and COVID-19 vaccination mitigate disease severity, but they do not fully prevent subsequent infections, especially from genetically divergent strains. We examined the incidence of and immune differences against human endemic coronaviruses (eCoVs) as a proxy for response against future genetically heterologous coronaviruses (CoVs). We assessed differences in symptomatic eCoV and non-CoV respiratory disease incidence among those with known prior SARS-CoV-2 infection or previous COVID-19 vaccination but no documented SARS-CoV-2 infection or neither exposure. Retrospective cohort analyses suggest that prior SARS-CoV-2 infection, but not previous COVID-19 vaccination alone, associates with a lower incidence of subsequent symptomatic eCoV infection. There was no difference in non-CoV incidence, implying that the observed difference was eCoV specific. In a second cohort where both cellular and humoral immunity were measured, those with prior SARS-CoV-2 spike protein exposure had lower eCoV-directed neutralizing antibodies, suggesting that neutralization is not responsible for the observed decreased eCoV disease. The three groups had similar cellular responses against the eCoV spike protein and nucleocapsid antigens. However, CD8+ T cell responses to the nonstructural eCoV proteins nsp12 and nsp13 were higher in individuals with previous SARS-CoV-2 infection as compared with the other groups. This association between prior SARS-CoV-2 infection and decreased incidence of eCoV disease may therefore be due to a boost in CD8+ T cell responses against eCoV nsp12 and nsp13, suggesting that incorporation of nonstructural viral antigens in a future pan-CoV vaccine may improve vaccine efficacy. Editor's summary: In addition to SARS-CoV-2 and other highly pathogenic coronaviruses, humans can be infected with a number of so-called endemic coronaviruses (eCoVs). These eCoVs, such as HCoV-OC43, are one of the causes of the common cold. Although there is similarity between SARS-CoV-2 and many eCoVs, the degree of cross-protection between the two has not been fully elucidated. Here, Bean et al. asked whether prior infection with or vaccination against SARS-CoV-2 protected against symptomatic eCoV infection. Unlike vaccination, prior infection was associated with fewer cases of symptomatic eCoV infection in a retrospective cohort. To identify the potential mediators of this protection, peripheral blood was obtained from a second cohort. The authors found that CD8+ T cell responses specifically targeting two nonstructural eCoV proteins, nsp12 and nsp13, were enriched only in those with prior infection. These data suggest that CD8+ T cell responses against conserved proteins may confer protection against a broad array of coronaviruses. —Courtney Malo [ABSTRACT FROM AUTHOR]

Published
2024
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16. Detectable plasma severe acute respiratory syndrome coronavirus 2 spike antigen is associated with poor antibody response following third messenger RNA vaccination in kidney transplant recipients.

Author

Karaba, Andrew H., Swank, Zoe, Hussain, Sarah, Chahoud, Margaret, Durand, Christine M., Segev, Dorry L., Robien, Mark A., Heeger, Peter S., Larsen, Christian P., Tobian, Aaron A. R., Walt, David R., and Werbel, William A.

Subjects
SARS-CoV-2, ANTIBODY formation, MESSENGER RNA, KIDNEY transplantation, VACCINATION
Abstract

Background: Kidney transplant recipients (KTRs) generate lower antibody responses to messenger RNA (mRNA)‐based severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) vaccination, yet precise mechanisms for this poor response remain uncertain. One potential contributor is suboptimal spike antigen (sAg) translation and expression owing to transplant immunosuppression, which might lead to insufficient exposure to develop humoral and/or cellular immune responses. Methods: Within a single‐arm clinical trial, 65 KTRs underwent ultrasensitive plasma sAg testing before, and 3 and 14 days after, the third mRNA vaccine doses. Anti‐SARS‐CoV‐2 spike antibodies (anti‐receptor binding domain [anti‐RBD]) were serially measured at 14 and 30 days post‐vaccination. Associations between sAg detection and clinical factors were assessed. Day 30 anti‐RBD titer was compared among those with versus without sAg expression using Wilcoxon rank sum testing. Results: Overall, 16 (25%) KTRs were sAg positive (sAg+) after vaccination, peaking at day 3. Clinical and laboratory factors were broadly similar in sAg(+) versus sAg(‐) KTRs. sAg(+) status was significantly negatively associated with day 30 anti‐RBD response, with median (interquartile range) 10.8 (<0.4–338.3) U/mL if sAg(+) versus 709 (10.5–2309.5) U/mL if sAg(‐) (i.e., 66‐fold lower; p =.01). Conclusion: Inadequate plasma sAg does not likely drive poor antibody responses in KTRs, rather sAg detection implies insufficient immune response to rapidly clear vaccine antigen from blood. Other downstream mechanisms such as sAg trafficking and presentation should be explored. [ABSTRACT FROM AUTHOR]

Published
2024
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18. Using Next-Generation Sequencing to Explore Genetics and Race in the High School Classroom

Author

Yang, Xinmiao, Hartman, Mark R., Harrington, Kristin T., Etson, Candice M., Fierman, Matthew B., Slonim, Donna K., and Walt, David R.

Abstract

With the development of new sequencing and bioinformatics technologies, concepts relating to personal genomics play an increasingly important role in our society. To promote interest and understanding of sequencing and bioinformatics in the high school classroom, we developed and implemented a laboratory-based teaching module called "The Genetics of Race." This module uses the topic of race to engage students with sequencing and genetics. In the experimental portion of this module, students isolate their own mitochondrial DNA using standard biotechnology techniques and collect next-generation sequencing data to determine which of their classmates are most and least genetically similar to themselves. We evaluated the efficacy of this module by administering a pretest/posttest evaluation to measure student knowledge related to sequencing and bioinformatics, and we also conducted a survey at the conclusion of the module to assess student attitudes. Upon completion of our Genetics of Race module, students demonstrated significant learning gains, with lower-performing students obtaining the highest gains, and developed more positive attitudes toward scientific research.

Published
2017
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20. Toward the quantification of α-synuclein aggregates with digital seed amplification assays.

Author

Gilboa, Tal, Swank, Zoe, Thakur, Rohan, Gould, Russell A., Ooi, Kean Hean, Norman, Maia, Flynn, Elizabeth A., Deveney, Brendan T., Anqi Chen, Borberg, Ella, Kuzkina, Anastasia, Ndayisaba, Alain, Khurana, Vikram, Weitz, David A., and Walt, David R.

Subjects
ALPHA-synuclein, MULTIPLE system atrophy, GEL permeation chromatography, PARKINSON'S disease, TRANSMISSION electron microscopy
Abstract

The quantification and characterization of aggregated α-synuclein in clinical samples offer immense potential toward diagnosing, treating, and better understanding neurodegenerative synucleinopathies. Here, we developed digital seed amplification assays to detect single α-synuclein aggregates by partitioning the reaction into microcompartments. Using pre-formed α-synuclein fibrils as reaction seeds, we measured aggregate concentrations as low as 4 pg/mL. To improve our sensitivity, we captured aggregates on antibody-coated magnetic beads before running the amplification reaction. By first characterizing the pre-formed fibrils with transmission electron microscopy and size exclusion chromatography, we determined the specific aggregates targeted by each assay platform. Using brain tissue and cerebrospinal fluid samples collected from patients with Parkinson's Disease and multiple system atrophy, we demonstrated that the assay can detect endogenous pathological α-synuclein aggregates. Furthermore, as another application for these assays, we studied the inhibition of α-synuclein aggregation in the presence of small-molecule inhibitors and used a custom image analysis pipeline to quantify changes in aggregate growth and filament morphology. [ABSTRACT FROM AUTHOR]

Published
2024
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22. Multisystem inflammatory syndrome in children is driven by zonulin-dependent loss of gut mucosal barrier

Author

Yonker, Lael M., Gilboa, Tal, Ogata, Alana F., Senussi, Yasmeen, Lazarovits, Roey, Boribong, Brittany P., Bartsch, Yannic C., Loiselle, Maggie, Rivas, Magali Noval, Porrit, Rebecca A., Lima, Rosiane, Davis, Jameson P., Farkas, Eva J., Burns, Madeleine D., Young, Nicola, Mahajan, Vinay S., Hajizadeh, Soroush, Lopez, Xcanda I. Herrera, Kreuzer, Johannes, Morris, Robert, Martinez, Enid E., Han, Isaac, Griswold, Kettner, Jr., Barry, Nicholas C., Thompson, David B., Church, George, Edlow, Andrea G., Haas, Wilhelm, Pillai, Shiv, Arditi, Moshe, Alter, Galit, Walt, David R., and Fasano, Alessio

Subjects
Gastrointestinal mucosa -- Health aspects -- Physiological aspects, Membrane proteins -- Health aspects -- Physiological aspects, Pediatric research, Health care industry
Abstract

BACKGROUND. Weeks after SARS-CoV-2 infection or exposure, some children develop a severe, life-threatening illness called multisystem inflammatory syndrome in children (MIS-C). Gastrointestinal (GI) symptoms are common in patients with MIS-C, and a severe hyperinflammatory response ensues with potential for cardiac complications. The cause of MIS-C has not been identified to date. METHODS. Here, we analyzed biospecimens from 100 children: 19 with MIS-C, 26 with acute COVID-19, and 55 controls. Stools were assessed for SARS-CoV-2 by reverse transcription PCR (RT-PCR), and plasma was examined for markers of breakdown of mucosal barrier integrity, including zonulin. Ultrasensitive antigen detection was used to probe for SARS-CoV-2 antigenemia in plasma, and immune responses were characterized. As a proof of concept, we treated a patient with MIS-C with larazotide, a zonulin antagonist, and monitored the effect on antigenemia and the patient's clinical response. RESULTS. We showed that in children with MIS-C, a prolonged presence of SARS-CoV-2 in the GI tract led to the release of zonulin, a biomarker of intestinal permeability, with subsequent trafficking of SARS-CoV-2 antigens into the bloodstream, leading to hyperinflammation. The patient with MIS-C treated with larazotide had a coinciding decrease in plasma SARSCoV-2 spike antigen levels and inflammatory markers and a resultant clinical improvement above that achieved with currently available treatments. CONCLUSION. These mechanistic data on MIS-C pathogenesis provide insight into targets for diagnosing, treating, and preventing MIS-C, which are urgently needed for this increasingly common severe COVID-19-related disease in children., Introduction Most children who are acutely infected with SARS-CoV-2 develop mild upper respiratory symptoms or experience asymptomatic infection. Several days to weeks after resolution of the initial infection, some of [...]

Published
2021
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23. Monitoring Melanoma Responses to STING Agonism and Focused Ultrasound Thermal Ablation Using Microneedles and Ultrasensitive Single Molecule Arrays.

Author

Dahis, Daniel, Dion, Michelle Z., Cryer, Alexander M., Dosta, Pere, Gilboa, Tal, Alonso, Mariana, Lewandowski, Michael, Puigmal, Núria, Taboada, Gonzalo Muñoz, Azhari, Haim, Ahmad, Rushdy, Walt, David R., and Artzi, Natalie

Subjects
SINGLE molecules, IMMUNOLOGIC memory, HIGH-intensity focused ultrasound, IMMUNOREGULATION, EXTRACELLULAR fluid, MELANOMA, GENE transfection, VENOM
Abstract

Real‐time monitoring of immune state and response to therapy can provide a means to stratify patients and increase the number of responders who will benefit from approved and emerging immunotherapies. The accessibility of immune cells in the skin provides an opportunity for local immune modulation as well as for noninvasive sampling of disease biomarkers in the skin interstitial fluid (ISF). Here, a monitoring strategy for melanoma immunotherapy is investigated by longitudinal sampling of biomarkers in the skin ISF using Hyaluronic acid (HA)‐based microneedles (MNs). Focused ultrasound ablation and delivery of nanoparticulate stimulator of interferon genes agonist are used as model immunotherapies. It is shown that this combination therapy induces potent inflammatory responses in a melanoma mouse model, promoting tumor elimination and immune memory formation. Indeed, quantifying soluble, protein‐based biomarkers following therapy using conventional immunoassay reveals a pronounced proinflammatory program in the tumor. However, conventional assays fail to detect the low concentration of biomarkers in plasma and in MN‐sampled ISF. It is shown that ultrasensitive single molecule arrays (Simoa) effectively detected proinflammatory biomarkers that are upregulated in response to the therapy in MN‐sampled ISF, in plasma, and in tumors, supporting the feasibility of monitoring melanoma immunotherapy using MNs. [ABSTRACT FROM AUTHOR]

Published
2023
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26. Training the next generation of biomedical investigators in glycosciences

Author

Agre, Peter, Bertozzi, Carolyn, Bissell, Mina, Campbell, Kevin P., Cummings, Richard D., Desai, Umesh R., Estes, Mary, Flotte, Terence, Fogleman, Guy, Gage, Fred, Ginsburg, David, Gordon, Jeffrey I., Hart, Gerald, Hascall, Vincent, Kiessling, Laura, Kornfeld, Stuart, Lowe, John, Magnani, John, Mahal, Lara K., Medzhitov, Ruslan, Roberts, Richard J., Sackstein, Robert, Sarkar, Rita, Schnaar, Ronald, Schwartz, Nancy, Varki, Ajit, Walt, David, and Weissman, Irving

Subjects
Medical personnel training -- Methods, Precision medicine -- Research, Patient care -- Standards, Medical research, Health care industry
Abstract

This position statement originated from a working group meeting convened on April 15, 2015, by the NHLBI and incorporates follow-up contributions by the participants as well as other thought leaders subsequently consulted, who together represent research fields relevant to all branches of the NIH. The group was deliberately composed not only of individuals with a current research emphasis in the glycosciences, but also of many experts from other fields, who evinced a strong interest in being involved in the discussions. The original goal was to discuss the value of creating centers of excellence for training the next generation of biomedical investigators in the glycosciences. A broader theme that emerged was the urgent need to bring the glycosciences back into the mainstream of biology by integrating relevant education into the curricula of medical, graduate, and postgraduate training programs, thus generating a critical sustainable workforce that can advance the much- needed translation of glycosciences into a more complete understanding of biology and the enhanced practice of medicine., Background and current status Every living cell in nature that has emerged from more than 3 billion years of biological evolution is composed of nucleic acids, proteins, lipids, metabolites, and [...]

Published
2016
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29. Artificial Noses

Author

Walt, David R., Stitzel, Shannon E., and Aernecke, Matthew J.

Published
2012

30. Competencies: A Cure for Pre-Med Curriculum

Author

ANDERSON, WINSTON A., AMASINO, RICHARD M., ARES, MANUEL, BANERJEE, UTPAL, BARTEL, BONNIE, CORCES, VICTOR G., DRENNAN, CATHERINE L., ELGIN, SARAH C. R., EPSTEIN, IRVING R., FANNING, ELLEN, GUILLETE, LOUIS J., HANDELSMAN, JO, HATFULL, GRAHAM F., HOY, RONALD RAYMOND, KELLEY, DARCY, LEINWAND, LESLIE A., LOSICK, RICHARD, LU, YI, LYNN, DAVID G., NEUHAUSER, CLAUDIA, O'DOWD, DIANE K., OLIVERA, TOTO, PEVZNER, PAVEL, RICHARDS-KORTUM, REBECCA R., RINE, JASPER, SAH, ROBERT L., STROBEL, SCOTT A., WALKER, GRAHAM C., WALT, DAVID R., WARNER, ISIAH M., WESSLER, SUE, WILLARD, HUNTINGTON F., and ZARE, RICHARD N.

Published
2011

36. Persistent Circulating Severe Acute Respiratory Syndrome Coronavirus 2 Spike Is Associated With Post-acute Coronavirus Disease 2019 Sequelae.

Author

Swank, Zoe, Senussi, Yasmeen, Manickas-Hill, Zachary, Yu, Xu G, Li, Jonathan Z, Alter, Galit, and Walt, David R

Subjects
VIRAL antigens, DISEASE progression, BIOMARKERS, CYTOKINES, SARS-CoV-2, COVID-19, POST-acute COVID-19 syndrome, CORONAVIRUS spike protein, BLOOD plasma, PHENOTYPES
Abstract

The diagnosis of postacute sequelae of coronavirus disease 2019 (PASC) poses an ongoing medical challenge. To identify biomarkers associated with PASC we analyzed plasma samples collected from PASC and coronavirus disease 2019 patients to quantify viral antigens and inflammatory markers. We detect severe acute respiratory syndrome coronavirus 2 spike predominantly in PASC patients up to 12 months after diagnosis. [ABSTRACT FROM AUTHOR]

Published
2023
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40. An Assessment of a Rapid SARS-CoV-2 Antigen Test in Bangladesh.

Author

Kawser, Zannat, Hossain, Mohabbat, Suliman, Sara, Lockman, Shahin, Gitaka, Jesse, Bandawe, Gama, Rahmat, Redwan, Hasan, Imrul, Siddik, Abu Bakar, Afrad, Mokibul Hassan, Rahman, Mohammed Ziaur, Miller, Glenn, Walt, David R., Ivers, Louise C., LaRocque, Regina C., Harris, Jason B., and Qadri, Firdausi

Published
2022
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41. Artificial noses: electronic olfaction aims to mimic mammalian systems that can identify countless odors with relatively few types of sensors

Author

Walt, David R., Stitzel, Shannon E., and Aernecke, Matthew J.

Subjects
Sensors -- Research -- Forecasts and trends, Biomimetics -- Research -- Forecasts and trends, Odors -- Identification and classification, Market trend/market analysis, Science and technology
Abstract

For human beings, a good sense of smell might not be as coveted a trait as sharp eyesight or hearing. The 18th-century philosopher Immanuel Kant singled out smell as the [...]

Published
2012

42. Clinical testing should be individualized, not based on populations

Author

Walt, David R.

Subjects
Cancer genetics -- Health aspects, Diseases -- Massachusetts -- Health aspects, DNA, Cardiovascular diseases, Cancer, Biological markers, Nervous system diseases, Communicable diseases, Tumors, Diagnostic equipment (Medical), Health care industry
Abstract

Biomarker discovery is one of the fastest growing fields in clinical diagnostics. A biomarker is defined as 'a biological molecule found in blood, other body fluids, or tissues that is [...]

Published
2019
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43. Chromatically resolved optical microscope (CROMoscope): a grating-based instrument for spectral imaging

Author

Webb, Michael R., LaFratta, Christopher N., and Walt, David R.

Subjects
Spectrum analysis -- Methods, Chemistry
Abstract

The chromatically resolved optical microscope (CROMoscope) is capable of spectral imaging with tunable spectral and spatial resolutions. Because of its remarkably simple design, the CROMoscope can be easily assembled and aligned. Spectral resolution as low as 2.5 nm full width at half maximum (fwhm) was measured using an atomic emission line of Hg. Absorption spectra of different parts of a micrograph can readily be compiled using white-fight illumination. Chloroplast absorption from an Elodea plant leaf was used to demonstrate this capability. Spectral imaging is widely applicable to many areas of science, and the CROMoscope is particularly simple to adapt to conventional microscopes and should enable detailed spectroscopic information to be obtained from microscopy.

Published
2009

44. Temporally resolved fluorescence spectroscopy of a microarray-based vapor sensing system

Author

Aernecke, Matthew J. and Walt, David R.

Subjects
Fluorescence spectroscopy -- Methods, Chemical detectors -- Properties, Chemistry
Abstract

This paper describes a method to measure the complete fluorescence spectrum from numerous fluorescent microspheres in a microarray simultaneously during exposure to a vapor. The technique, called spectrally resolved sensor imaging (SRSI), positions a transmission grating directly in front of the microscope objective on a standard epi-fluorescence microscope. This modification produces a hybrid image on the CCD camera that contains a conventional fluorescence image in the zero-order diffracted light and a fluorescence spectral image in the first-order diffracted light. Three types of surface-functionalized silica microspheres were coated with a solvatochromic dye. The surface functionality on the microspheres influences the maximum emission wavelength of the dye and generates a fluorescence spectral signature that is used to identify each sensor type. These sensors were randomly distributed into a photolithographically fabricated microarray platform, and the spectral signature of each individual sensor was measured. The time resolution of spectral acquisition is short enough to capture dynamic changes in the fluorescence emission as a vapor is presented to the array. The ability to measure the entire fluorescence spectrum from each sensor simultaneously during a vapor exposure increases the dimensionality of the response data and significantly improves the classification accuracy of the system.

Published
2009

45. Microsphere-based rolling circle amplification microarray for the detection of DNA and proteins in a single assay

Author

Konry, Tania, Hayman, Ryan B., and Walt, David R.

Subjects
DNA microarrays -- Research, Protein microarrays -- Research, Chemistry
Abstract

We describe a high-density microarray for simultaneous detection of proteins and DNA in a single test. In this system, Rolling Circle Amplification (RCA) was used as a signal amplification method for both protein and nucleic acid detection. The microsphere sensors were tested with synthetic DNA and purified recombinant protein analytes. The target DNA sequence was designed from a highly conserved gene that encodes the outer membrane protein P6 (OMP-P6) of both typeable and nontypeable strains of Haemophilus influenzae. The proinflammatory mediators IL-6 and IL-8 were selected as target proteins. Capture antibodies were first immobilized on fluorescently encoded microspheres. The microspheres were then loaded into the etched microwells of an imaging optical fiber bundle. A sandwich assay was performed for target proteins IL-6 and IL-8 using biotin-labeled secondary antibodies. Biotinylated capture DNA probes were then attached to the detection antibodies via an avidin bridge. A padlock probe, complementary to the target sequence, was subsequently hybridized to the capture probe. In the presence of the target sequence, the padlock probe was ligated, and this circular sequence was used for RCA. Following RCA, multiple fluorescently labeled signal probes were hybridized to each amplified sequence, and the microarray was imaged using an epi-fluorescence microscope. With this assay, detection limits down to 10 fM and 1 pM were achieved for proteins and target DNA, respectively. In addition to this new approach for detecting both protein and DNA in a single test using RCA, the limit of detection for IL-8 and IL-6 was improved by 3 orders of magnitude compared to similar microsphere-based assays.

Published
2009

46. Design, implementation, and field testing of a portable fluorescence-based vapor sensor

Author

Aernecke, Matthew J., Guo, Jian, Sonkusale, Sameer, and Walt, David R.

Subjects
Chemical detectors -- Research, Chemistry
Abstract

The design and implementation of a portable fluorescence-based vapor sensing system are described. The system incorporates previously developed microsensor array technology into a compact, low-power device capable of collecting and delivering ambient vapor samples to the array while monitoring and recording the fluorescent responses of the sensors. The sensors respond differentially when exposed to a sample vapor and, when processed using a support vector machine (SVM) pattern recognition algorithm, are shown to discriminate between three classes of petroleum distillates. The system was characterized using sample vapors prepared under several different conditions in three sensing scenarios. The first scenario demonstrates the basic operational capability of the device in the field by presenting high concentration vapors to the array. The second scenario introduces the potential for a greater degree of variability in both sample vapor concentration and composition in an effort to emulate real-world sensing conditions. The third scenario uses an on-board trained pattern recognition algorithm to identify unknown vapors as their responses are collected. The device demonstrated high classification accuracy throughout the field tests and is capable of improving its classification accuracy when challenged with samples presented under variable ambient conditions by enhancing the signal-to-noise ratio of the array response.

Published
2009

47. Fiber-optic microsphere-based antibody array for the analysis of inflammatory cytokines in saliva

Author

Blicharz, Timothy M., Siqueira, Walter L., Helmerhorst, Eva J., Oppenheim, Frank G., Wexler, Philip J., Little, Frederic F., and Walt, David R.

Subjects
Saliva -- Properties, Saliva -- Health aspects, Fiber optics -- Research, Antibodies -- Research, Viral antibodies -- Research, Cytokines -- Properties, Inflammation -- Research, Salivary glands -- secretions, Salivary glands -- Properties, Salivary glands -- Health aspects, Fiber optics, Chemistry
Abstract

Antibody microarrays have emerged as useful tools for high-throughput protein analysis and candidate biomarker screening. We describe here the development of a multiplexed microsphere-based antibody array capable of simultaneously measuring 10 inflammatory protein mediators. Cytokine-capture microspheres were fabricated by covalently coupling monoclonal antibodies specific for cytokines of interest to fluorescently encoded 3.1 [micro]m polymer microspheres. An optical fiber bundle containing ~50 000 individual 3.1 [micro]m diameter fibers was chemically etched to create microwells in which cytokine-capture microspheres could be deposited. Microspheres were randomly distributed in the wells to produce an antibody array for performing a multiplexed sandwich immunoassay. The array responded specifically to recombinant cytokine solutions in a concentration-dependent fashion. The array was also used to examine endogenous mediator patterns in saliva supernatants from patients with pulmonary inflammatory diseases such as asthma and chronic obstructive pulmonary disease (COPD). This array technology may prove useful as a laboratory-based platform for inflammatory disease research and diagnostics, and its small footprint could also enable integration into a microfluidic cassette for use in point-of-care testing.

Published
2009

48. Immunogenicity of a Three-Dose Primary Series of mRNA COVID-19 Vaccines in Patients With Lymphoid Malignancies.

Author

Sherman, Amy C, Crombie, Jennifer L, Cheng, ChiAn, Desjardins, Michaël, Zhou, Guohai, Ometoruwa, Omolola, Rooks, Rebecca, Senussi, Yasmeen, McDonough, Mikaela, Guerrero, Liliana I, Kupelian, John, Doss-Gollin, Simon, Smolen, Kinga K, Haren, Simon D van, Armand, Philippe, Levy, Ofer, Walt, David R, Baden, Lindsey R, and Issa, Nicolas C

Subjects
COVID-19, IMMUNE response, COVID-19 vaccines, MESSENGER RNA, IMMUNOGLOBULIN G
Abstract

Background Patients with lymphoid malignancies are at risk for poor coronavirus disease 2019 (COVID-19)-related outcomes and have reduced vaccine-induced immune responses. Currently, a 3-dose primary regimen of mRNA vaccines is recommended in the United States for immunocompromised hosts. Methods A prospective cohort study of healthy adults (n  = 27) and patients with lymphoid malignancies (n  = 94) was conducted, with longitudinal follow-up through completion of a 2- or 3-dose primary mRNA COVID vaccine series, respectively. Humoral responses were assessed in all participants, and cellular immunity was assessed in a subset of participants. Results The rate of seroconversion (68.1% vs 100%) and the magnitude of peak anti-S immunoglobulin G (IgG) titer (median anti-S IgG = 32.4, IQR = 0.48–75.0 vs median anti-S IgG = 72.6, IQR 51.1–100.1; P  = .0202) were both significantly lower in patients with lymphoid malignancies compared to the healthy cohort. However, peak titers of patients with lymphoid malignancies who responded to vaccination were similar to healthy cohort titers (median anti-S IgG = 64.3; IQR, 23.7–161.5; P  = .7424). The third dose seroconverted 7 of 41 (17.1%) patients who were seronegative after the first 2 doses. Although most patients with lymphoid malignancies produced vaccine-induced T-cell responses in the subset studied, B-cell frequencies were low with minimal memory cell formation. Conclusions A 3-dose primary mRNA series enhanced anti-S IgG responses to titers equivalent to healthy adults in patients with lymphoid malignancies who were seropositive after the first 2 doses and seroconverted 17.1% who were seronegative after the first 2 doses. T-cell responses were present, raising the possibility that the vaccines may confer some cell-based protection even if not measurable by anti-S IgG. [ABSTRACT FROM AUTHOR]

Published
2022
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49. Severe Acute Respiratory Syndrome Coronavirus 2 Messenger RNA Vaccines in Allogeneic Hematopoietic Stem Cell Transplant Recipients: Immunogenicity and Reactogenicity.

Author

Sherman, Amy C, Desjardins, Michaël, Cheng, Chi An, Bausk, Bruce, Izaguirre, Natalie, Zhou, Guohai, Krauss, Jonathan, Tolan, Nicole, Walt, David R, Soiffer, Robert, Ho, Vincent T, Issa, Nicolas C, and Baden, Lindsey R

Subjects
COVID-19 vaccines, SERODIAGNOSIS, PATIENTS, TREATMENT effectiveness, MESSENGER RNA, DESCRIPTIVE statistics, HEMATOPOIETIC stem cell transplantation, TRANSPLANTATION of organs, tissues, etc.
Abstract

The severe acute respiratory syndrome coronavirus 2 messenger RNA vaccine–induced humoral response and reactogenicity profile are described in allogeneic hematopoietic stem cell transplant (HSCT) recipients. Findings showed that 75.0% (by Simoa assay) or 80.0% (by Roche assay) of the HSCT cohort had a positive antibody response on series completion, compared with 100% in the healthy cohort. [ABSTRACT FROM AUTHOR]

Published
2022
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50. Multianalyte single-cell analysis with multiple cell lines using a fiber-optic array

Author

Whitaker, Ragnhild D. and Walt, David R.

Subjects
Fiber optics -- Research, Cells -- Observations, Oscillation -- Observations, Drugs -- Product/Service Evaluations, Drugs -- Methods, Fiber optics, Chemistry
Abstract

A single-cell drug screening method is described that produces rich single-cell data and discriminates between single-cell responses from clonal populations stimulated with different agonists. Ligand-induced receptor activation is commonly detected by observing intracellular [Ca.sup.2+] oscillations using high-throughput screening (HTS) methods. In most cases, HTS results in an average signal from several cells and is not sensitive enough to enable the identification of population outliers or population variance. In order to obtain this information, many individual cells must be analyzed simultaneously. We have developed a novel system using a specialized fiber-optic platform and have combined it with statistical analysis, to simultaneously analyze the dynamics of [Ca.sup.2+] oscillations in a large number of single cells. Mammalian cells ectopically expressing different human GPCR receptors were stimulated, and [Ca.sup.2+] changes in numerous single cells were recorded over time using a fluorescent microscope and a CCD camera. We determined the percentage of live cells in a population responding to stimuli, the distribution of responses within a population of clonal cells, and the number of outliers. By employing principal component analysis and K-nearest neighbor modeling, we classified the time-resolved [Ca.sup.2+] traces of single cells as a function of the stimulus type with high certainty for a population of cells. This method is potentially a powerful tool for identifying new drug targets or for investigating the single-cell behavior of an existing target or known receptor. The development of this single-cell drug screening method is presented, and fluorescent and statistical analyses of single-cell dynamic responses are discussed.

Published
2007

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