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622 results on '"Chibnik, Lori B"'

1. Characterizing Long COVID in Children and Adolescents

Author

Gross, Rachel S, Thaweethai, Tanayott, Kleinman, Lawrence C, Snowden, Jessica N, Rosenzweig, Erika B, Milner, Joshua D, Tantisira, Kelan G, Rhee, Kyung E, Jernigan, Terry L, Kinser, Patricia A, Salisbury, Amy L, Warburton, David, Mohandas, Sindhu, Wood, John C, Newburger, Jane W, Truong, Dongngan T, Flaherman, Valerie J, Metz, Torri D, Karlson, Elizabeth W, Chibnik, Lori B, Pant, Deepti B, Krishnamoorthy, Aparna, Gallagher, Richard, Lamendola-Essel, Michelle F, Hasson, Denise C, Katz, Stuart D, Yin, Shonna, Dreyer, Benard P, Carmilani, Megan, Coombs, K, Fitzgerald, Megan L, Güthe, Nick, Hornig, Mady, Letts, Rebecca J, Peddie, Aimee K, Taylor, Brittany D, Foulkes, Andrea S, Stockwell, Melissa S, Balaraman, Venkataraman, Bogie, Amanda, Bukulmez, Hulya, Dozor, Allen J, Eckrich, Daniel, Elliott, Amy J, Evans, Danielle N, Farkas, Jonathan S, Faustino, E Vincent S, Fischer, Laura, Gaur, Sunanda, Harahsheh, Ashraf S, Hasan, Uzma N, Hsia, Daniel S, Huerta-Montanez, Gredia, Hummel, Kathy D, Kadish, Matt P, Kaelber, David C, Krishnan, Sankaran, Kosut, Jessica S, Larrabee, Jerry, Lim, Peter Paul C, Michelow, Ian C, Oliveira, Carlos R, Raissy, Hengameh, Rosario-Pabon, Zaira, Ross, Judith L, Sato, Alice I, Stevenson, Michelle D, Talavera-Barber, Maria M, Teufel, Ronald J, Weakley, Kathryn E, Zimmerman, Emily, Bind, Marie-Abele C, Chan, James, Guan, Zoe, Morse, Richard E, Reeder, Harrison T, Akshoomoff, Natascha, Aschner, Judy L, Bhattacharjee, Rakesh, Cottrell, Lesley A, Cowan, Kelly, D'Sa, Viren A, Fiks, Alexander G, Gennaro, Maria L, Irby, Katherine, Khare, Manaswitha, Landeo Guttierrez, Jeremy, McCulloh, Russell J, Narang, Shalu, Ness- Cochinwala, Manette, Nolan, Sheila, Palumbo, Paul, Ryu, Julie, Salazar, Juan C, Selvarangan, Rangaraj, Stein, Cheryl R, Werzberger, Alan, Zempsky, William T, Aupperle, Robin, and Baker, Fiona C

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Health Sciences, Emerging Infectious Diseases, Neurosciences, Coronaviruses, Infectious Diseases, Pediatric, Minority Health, Pain Research, Infection, Good Health and Well Being, RECOVER-Pediatrics Consortium, RECOVER-Pediatrics Group Authors, Medical and Health Sciences, General & Internal Medicine, Biomedical and clinical sciences, Health sciences
Abstract

ImportanceMost research to understand postacute sequelae of SARS-CoV-2 infection (PASC), or long COVID, has focused on adults, with less known about this complex condition in children. Research is needed to characterize pediatric PASC to enable studies of underlying mechanisms that will guide future treatment.ObjectiveTo identify the most common prolonged symptoms experienced by children (aged 6 to 17 years) after SARS-CoV-2 infection, how these symptoms differ by age (school-age [6-11 years] vs adolescents [12-17 years]), how they cluster into distinct phenotypes, and what symptoms in combination could be used as an empirically derived index to assist researchers to study the likely presence of PASC.Design, setting, and participantsMulticenter longitudinal observational cohort study with participants recruited from more than 60 US health care and community settings between March 2022 and December 2023, including school-age children and adolescents with and without SARS-CoV-2 infection history.ExposureSARS-CoV-2 infection.Main outcomes and measuresPASC and 89 prolonged symptoms across 9 symptom domains.ResultsA total of 898 school-age children (751 with previous SARS-CoV-2 infection [referred to as infected] and 147 without [referred to as uninfected]; mean age, 8.6 years; 49% female; 11% were Black or African American, 34% were Hispanic, Latino, or Spanish, and 60% were White) and 4469 adolescents (3109 infected and 1360 uninfected; mean age, 14.8 years; 48% female; 13% were Black or African American, 21% were Hispanic, Latino, or Spanish, and 73% were White) were included. Median time between first infection and symptom survey was 506 days for school-age children and 556 days for adolescents. In models adjusted for sex and race and ethnicity, 14 symptoms in both school-age children and adolescents were more common in those with SARS-CoV-2 infection history compared with those without infection history, with 4 additional symptoms in school-age children only and 3 in adolescents only. These symptoms affected almost every organ system. Combinations of symptoms most associated with infection history were identified to form a PASC research index for each age group; these indices correlated with poorer overall health and quality of life. The index emphasizes neurocognitive, pain, and gastrointestinal symptoms in school-age children but change or loss in smell or taste, pain, and fatigue/malaise-related symptoms in adolescents. Clustering analyses identified 4 PASC symptom phenotypes in school-age children and 3 in adolescents.Conclusions and relevanceThis study developed research indices for characterizing PASC in children and adolescents. Symptom patterns were similar but distinguishable between the 2 groups, highlighting the importance of characterizing PASC separately for these age ranges.

Published
2024

3. Researching COVID to enhance recovery (RECOVER) adult study protocol: Rationale, objectives, and design

Author

Horwitz, Leora I, Thaweethai, Tanayott, Brosnahan, Shari B, Cicek, Mine S, Fitzgerald, Megan L, Goldman, Jason D, Hess, Rachel, Hodder, SL, Jacoby, Vanessa L, Jordan, Michael R, Krishnan, Jerry A, Laiyemo, Adeyinka O, Metz, Torri D, Nichols, Lauren, Patzer, Rachel E, Sekar, Anisha, Singer, Nora G, Stiles, Lauren E, Taylor, Barbara S, Ahmed, Shifa, Algren, Heather A, Anglin, Khamal, Aponte-Soto, Lisa, Ashktorab, Hassan, Bassett, Ingrid V, Bedi, Brahmchetna, Bhadelia, Nahid, Bime, Christian, Bind, Marie-Abele C, Black, Lora J, Blomkalns, Andra L, Brim, Hassan, Castro, Mario, Chan, James, Charney, Alexander W, Chen, Benjamin K, Chen, Li Qing, Chen, Peter, Chestek, David, Chibnik, Lori B, Chow, Dominic C, Chu, Helen Y, Clifton, Rebecca G, Collins, Shelby, Costantine, Maged M, Cribbs, Sushma K, Deeks, Steven G, Dickinson, John D, Donohue, Sarah E, Durstenfeld, Matthew S, Emery, Ivette F, Erlandson, Kristine M, Facelli, Julio C, Farah-Abraham, Rachael, Finn, Aloke V, Fischer, Melinda S, Flaherman, Valerie J, Fleurimont, Judes, Fonseca, Vivian, Gallagher, Emily J, Gander, Jennifer C, Gennaro, Maria Laura, Gibson, Kelly S, Go, Minjoung, Goodman, Steven N, Granger, Joey P, Greenway, Frank L, Hafner, John W, Han, Jenny E, Harkins, Michelle S, Hauser, Kristine SP, Heath, James R, Hernandez, Carla R, Ho, On, Hoffman, Matthew K, Hoover, Susan E, Horowitz, Carol R, Hsu, Harvey, Hsue, Priscilla Y, Hughes, Brenna L, Jagannathan, Prasanna, James, Judith A, John, Janice, Jolley, Sarah, Judd, SE, Juskowich, Joy J, Kanjilal, Diane G, Karlson, Elizabeth W, Katz, Stuart D, Kelly, J Daniel, Kelly, Sara W, Kim, Arthur Y, Kirwan, John P, Knox, Kenneth S, Kumar, Andre, Lamendola-Essel, Michelle F, Lanca, Margaret, Lee-lannotti, Joyce K, Lefebvre, R Craig, and Levy, Bruce D

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Prevention, Clinical Research, Emerging Infectious Diseases, Infectious Diseases, Infection, Good Health and Well Being
Abstract

Abstract: Importance: SARS-CoV-2 infection can result in ongoing, relapsing, or new symptoms or other health effects after the acute phase of infection; termed post-acute sequelae of SARS-CoV-2 infection (PASC), or long COVID. The characteristics, prevalence, trajectory and mechanisms of PASC are ill-defined. The objectives of the Researching COVID to Enhance Recovery (RECOVER) Multi-site Observational Study of PASC in Adults (RECOVER-Adult) are to: (1) characterize PASC prevalence; (2) characterize the symptoms, organ dysfunction, natural history, and distinct phenotypes of PASC; (3) identify demographic, social and clinical risk factors for PASC onset and recovery; and (4) define the biological mechanisms underlying PASC pathogenesis. Methods: RECOVER-Adult is a combined prospective/retrospective cohort currently planned to enroll 14,880 adults aged ≥18 years. Eligible participants either must meet WHO criteria for suspected, probable, or confirmed infection; or must have evidence of no prior infection. Recruitment occurs at 86 sites in 33 U.S. states, Washington, DC and Puerto Rico, via facility– and community-based outreach. Participants complete quarterly questionnaires about symptoms, social determinants, vaccination status, and interim SARS-CoV-2 infections. In addition, participants contribute biospecimens and undergo physical and laboratory examinations at approximately 0, 90 and 180 days from infection or negative test date, and yearly thereafter. Some participants undergo additional testing based on specific criteria or random sampling. Patient representatives provide input on all study processes. The primary study outcome is onset of PASC, measured by signs and symptoms. A paradigm for identifying PASC cases will be defined and updated using supervised and unsupervised learning approaches with cross– validation. Logistic regression and proportional hazards regression will be conducted to investigate associations between risk factors, onset, and resolution of PASC symptoms. Discussion: RECOVER-Adult is the first national, prospective, longitudinal cohort of PASC among US adults. Results of this study are intended to inform public health, spur clinical trials, and expand treatment options.

Published
2023

4. Evaluation of the psychometric properties of the UBACC questionnaire in a multi-country psychiatric study in Africa

Author

Kipkemoi, Patricia, Mufford, Mary S., Akena, Dickens, Alemayehu, Melkam, Atwoli, Lukoye, Chibnik, Lori B., Gelaye, Bizu, Gichuru, Stella, Kariuki, Symon M., Koenen, Karestan C., Kwobah, Edith, Kyebuzibwa, Joseph, Mwema, Rehema M., Newton, Charles R.J.C., Pretorius, Adele, Stein, Dan J., Stevenson, Anne, Stroud, Rocky E., II, Teferra, Solomon, Zingela, Zukiswa, Post, Kristianna, and Korte, Kristina J.

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

Author

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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9. The association of posttraumatic stress disorder, depression, and head injury with mid‐life cognitive function in civilian women

Author

Lawn, Rebecca B, Jha, Shaili C, Liu, Jiaxuan, Sampson, Laura, Murchland, Audrey R, Sumner, Jennifer A, Roberts, Andrea L, Disner, Seth G, Grodstein, Francine, Kang, Jae H, Kubzansky, Laura D, Chibnik, Lori B, and Koenen, Karestan C

Subjects
Clinical and Health Psychology, Psychology, Depression, Mind and Body, Anxiety Disorders, Behavioral and Social Science, Neurosciences, Post-Traumatic Stress Disorder (PTSD), Physical Injury - Accidents and Adverse Effects, Clinical Research, Mental Health, Brain Disorders, Aetiology, 2.3 Psychological, social and economic factors, Evaluation of treatments and therapeutic interventions, 6.6 Psychological and behavioural, Mental health, Good Health and Well Being, Aged, Cognition, Craniocerebral Trauma, Cross-Sectional Studies, Female, Humans, Middle Aged, Stress Disorders, Post-Traumatic, cognition, cogstate, depression, head injury, mild traumatic brain injury, posttraumatic stress disorder, women, Clinical Sciences, Psychiatry, Clinical sciences, Clinical and health psychology, Social and personality psychology
Abstract

BackgroundDespite evidence linking posttraumatic stress disorder (PTSD), depression, and head injury, separately, with worse cognitive performance, investigations of their combined effects on cognition are limited in civilian women.MethodsThe Cogstate Brief Battery assessment was administered in 10,681 women from the Nurses' Health Study II cohort, mean age 64.9 years (SD = 4.6). Psychological trauma, PTSD, depression, and head injury were assessed using online questionnaires. In this cross-sectional analysis, we used linear regression models to estimate mean differences in cognition by PTSD/depression status and stratified by history of head injury.ResultsHistory of head injury was prevalent (36%), and significantly more prevalent among women with PTSD and depression (57% of women with PTSD and depression, 21% of women with no psychological trauma or depression). Compared to having no psychological trauma or depression, having combined PTSD and depression was associated with worse performance on psychomotor speed/attention ( β  = -.15, p = .001) and learning/working memory ( β  = -.15, p

Published
2022

10. Posttraumatic Stress Disorder and Likelihood of Hormone Therapy Use among Women in the Nurses' Health Study II: A 26-Year Prospective Analysis

Author

Lawn, Rebecca B, Nishimi, Kristen M, Kim, Yongjoo, Jung, Sun Jae, Roberts, Andrea L, Sumner, Jennifer A, Thurston, Rebecca C, Chibnik, Lori B, Rimm, Eric B, Ratanatharathorn, Andrew D, Jha, Shaili C, Koenen, Karestan C, Tworoger, Shelley S, and Kubzansky, Laura D

Subjects
Health Services and Systems, Biomedical and Clinical Sciences, Health Sciences, Estrogen, Clinical Research, Post-Traumatic Stress Disorder (PTSD), Brain Disorders, Anxiety Disorders, Aging, Mental Health, Behavioral and Social Science, Good Health and Well Being, Female, Hormone Replacement Therapy, Humans, Nurses, Prospective Studies, Stress Disorders, Post-Traumatic, Time Factors, Medical and Health Sciences, Epidemiology, Biomedical and clinical sciences, Health sciences
Abstract

BackgroundPosttraumatic stress disorder (PTSD) is associated with higher risk of certain chronic diseases, including ovarian cancer, but underlying mechanisms remain unclear. Although prior work has linked menopausal hormone therapy (MHT) use with elevated ovarian cancer risk, little research considers PTSD to likelihood of MHT use. We examined whether PTSD was prospectively associated with greater likelihood of initiating MHT use over 26 years.MethodsUsing data from the Nurses' Health Study II, with trauma and PTSD (symptoms and onset date) assessed by screener in 2008 and MHT assessed via biennial survey (from 1989), we performed Cox proportional regression models with women contributing person-years from age 36 years. Relevant covariates were assessed at biennial surveys. We considered potential effect modification by race/ethnicity, age at baseline, and period (1989-2002 vs. 2003-2015).ResultsOver follow-up, 22,352 of 43,025 women reported initiating MHT use. For example, compared with women with no trauma, the HR for initiating MHT was 1.18 for those with trauma/1-3 PTSD symptoms [95% confidence interval (CI), 1.13-1.22] and 1.31 for those with trauma/4-7 PTSD symptoms (95% CI, 1.25-1.36; P trend < 0.001), adjusting for sociodemographic factors. Associations were maintained when adjusting for reproductive factors and health conditions. We found evidence of effect modification by age at baseline.ConclusionsTrauma and number of PTSD symptoms were associated with greater likelihood of initiating MHT use in a dose-response manner.ImpactMHT may be a pathway linking PTSD to altered chronic disease risk. It is important to understand why women with PTSD initiate MHT use.

Published
2021

13. Increasing diversity in genomics requires investment in equitable partnerships and capacity building

Author

Martin, Alicia R., Stroud, II, Rocky E., Abebe, Tamrat, Akena, Dickens, Alemayehu, Melkam, Atwoli, Lukoye, Chapman, Sinéad B., Flowers, Katelyn, Gelaye, Bizu, Gichuru, Stella, Kariuki, Symon M., Kinyanjui, Sam, Korte, Kristina J., Koen, Nastassja, Koenen, Karestan C., Newton, Charles R. J. C., Olivares, Ana Maria, Pollock, Sam, Post, Kristianna, Singh, Ilina, Stein, Dan J., Teferra, Solomon, Zingela, Zukiswa, and Chibnik, Lori B.

Published
2022
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14. Sex-specific genetic predictors of Alzheimer’s disease biomarkers

Author

Deming, Yuetiva, Dumitrescu, Logan, Barnes, Lisa L, Thambisetty, Madhav, Kunkle, Brian, Gifford, Katherine A, Bush, William S, Chibnik, Lori B, Mukherjee, Shubhabrata, De Jager, Philip L, Kukull, Walter, Huentelman, Matt, Crane, Paul K, Resnick, Susan M, Keene, C Dirk, Montine, Thomas J, Schellenberg, Gerard D, Haines, Jonathan L, Zetterberg, Henrik, Blennow, Kaj, Larson, Eric B, Johnson, Sterling C, Albert, Marilyn, Moghekar, Abhay, del Aguila, Jorge L, Fernandez, Maria Victoria, Budde, John, Hassenstab, Jason, Fagan, Anne M, Riemenschneider, Matthias, Petersen, Ronald C, Minthon, Lennart, Chao, Michael J, Van Deerlin, Vivianna M, Lee, Virginia M-Y, Shaw, Leslie M, Trojanowski, John Q, Peskind, Elaine R, Li, Gail, Davis, Lea K, Sealock, Julia M, Cox, Nancy J, Alzheimer’s Disease Neuroimaging Initiative (ADNI), The Alzheimer Disease Genetics Consortium (ADGC), Goate, Alison M, Bennett, David A, Schneider, Julie A, Jefferson, Angela L, Cruchaga, Carlos, and Hohman, Timothy J

Subjects
Biomedical and Clinical Sciences, Neurosciences, Brain Disorders, Acquired Cognitive Impairment, Human Genome, Neurodegenerative, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Aging, Dementia, Genetics, Alzheimer's Disease, Women's Health, 2.1 Biological and endogenous factors, Neurological, Aged, 80 and over, Alzheimer Disease, Amyloid beta-Peptides, Amyloidosis, Apolipoproteins E, Biomarkers, Brain, Claudins, Female, Genome-Wide Association Study, Genotype, Humans, Male, Muscle Proteins, Mutation, Peptide Fragments, Serpins, Sex Factors, Transcription Factors, tau Proteins, Alzheimer disease, Cerebrospinal fluid biomarkers, Neuropathology, Sex difference, APOE, Amyloid, Tau, Alzheimer’s Disease Neuroimaging Initiative, Alzheimer Disease Genetics Consortium, Clinical Sciences, Neurology & Neurosurgery
Abstract

Cerebrospinal fluid (CSF) levels of amyloid-β 42 (Aβ42) and tau have been evaluated as endophenotypes in Alzheimer's disease (AD) genetic studies. Although there are sex differences in AD risk, sex differences have not been evaluated in genetic studies of AD endophenotypes. We performed sex-stratified and sex interaction genetic analyses of CSF biomarkers to identify sex-specific associations. Data came from a previous genome-wide association study (GWAS) of CSF Aβ42 and tau (1527 males, 1509 females). We evaluated sex interactions at previous loci, performed sex-stratified GWAS to identify sex-specific associations, and evaluated sex interactions at sex-specific GWAS loci. We then evaluated sex-specific associations between prefrontal cortex (PFC) gene expression at relevant loci and autopsy measures of plaques and tangles using data from the Religious Orders Study and Rush Memory and Aging Project. In Aβ42, we observed sex interactions at one previous and one novel locus: rs316341 within SERPINB1 (p = 0.04) and rs13115400 near LINC00290 (p = 0.002). These loci showed stronger associations among females (β = - 0.03, p = 4.25 × 10-8; β = 0.03, p = 3.97 × 10-8) than males (β = - 0.02, p = 0.009; β = 0.01, p = 0.20). Higher levels of expression of SERPINB1, SERPINB6, and SERPINB9 in PFC was associated with higher levels of amyloidosis among females (corrected p values  0.38). In total tau, we observed a sex interaction at a previous locus, rs1393060 proximal to GMNC (p = 0.004), driven by a stronger association among females (β = 0.05, p = 4.57 × 10-10) compared to males (β = 0.02, p = 0.03). There was also a sex-specific association between rs1393060 and tangle density at autopsy (pfemale = 0.047; pmale = 0.96), and higher levels of expression of two genes within this locus were associated with lower tangle density among females (OSTN p = 0.006; CLDN16 p = 0.002) but not males (p ≥ 0.32). Results suggest a female-specific role for SERPINB1 in amyloidosis and for OSTN and CLDN16 in tau pathology. Sex-specific genetic analyses may improve understanding of AD's genetic architecture.

Published
2018

20. Characterizing Long COVID in Children and Adolescents.

Author

Gross, Rachel S., Thaweethai, Tanayott, Kleinman, Lawrence C., Snowden, Jessica N., Rosenzweig, Erika B., Milner, Joshua D., Tantisira, Kelan G., Rhee, Kyung E., Jernigan, Terry L., Kinser, Patricia A., Salisbury, Amy L., Warburton, David, Mohandas, Sindhu, Wood, John C., Newburger, Jane W., Truong, Dongngan T., Flaherman, Valerie J., Metz, Torri D., Karlson, Elizabeth W., and Chibnik, Lori B.

Subjects
POST-acute COVID-19 syndrome, RACE, AGE groups, QUALITY of life, AFRICAN Americans
Abstract

Key Points: Question: What prolonged symptoms experienced by youth are most associated with SARS-CoV-2 infection? Findings: Among 5367 participants in the RECOVER-Pediatrics cohort study, 14 symptoms in both school-age children (6-11 years) and adolescents (12-17 years) were more common in those with vs without SARS-CoV-2 infection history, with 4 additional symptoms in school-age children only and 3 in adolescents only. Empirically derived indices for PASC research and associated clustering patterns were developed. Meaning: This study developed research indices for characterizing pediatric PASC. Symptom patterns were similar but distinguishable between school-age children and adolescents, highlighting the importance of characterizing PASC separately in different age groups. Importance: Most research to understand postacute sequelae of SARS-CoV-2 infection (PASC), or long COVID, has focused on adults, with less known about this complex condition in children. Research is needed to characterize pediatric PASC to enable studies of underlying mechanisms that will guide future treatment. Objective: To identify the most common prolonged symptoms experienced by children (aged 6 to 17 years) after SARS-CoV-2 infection, how these symptoms differ by age (school-age [6-11 years] vs adolescents [12-17 years]), how they cluster into distinct phenotypes, and what symptoms in combination could be used as an empirically derived index to assist researchers to study the likely presence of PASC. Design, Setting, and Participants: Multicenter longitudinal observational cohort study with participants recruited from more than 60 US health care and community settings between March 2022 and December 2023, including school-age children and adolescents with and without SARS-CoV-2 infection history. Exposure: SARS-CoV-2 infection. Main Outcomes and Measures: PASC and 89 prolonged symptoms across 9 symptom domains. Results: A total of 898 school-age children (751 with previous SARS-CoV-2 infection [referred to as infected] and 147 without [referred to as uninfected]; mean age, 8.6 years; 49% female; 11% were Black or African American, 34% were Hispanic, Latino, or Spanish, and 60% were White) and 4469 adolescents (3109 infected and 1360 uninfected; mean age, 14.8 years; 48% female; 13% were Black or African American, 21% were Hispanic, Latino, or Spanish, and 73% were White) were included. Median time between first infection and symptom survey was 506 days for school-age children and 556 days for adolescents. In models adjusted for sex and race and ethnicity, 14 symptoms in both school-age children and adolescents were more common in those with SARS-CoV-2 infection history compared with those without infection history, with 4 additional symptoms in school-age children only and 3 in adolescents only. These symptoms affected almost every organ system. Combinations of symptoms most associated with infection history were identified to form a PASC research index for each age group; these indices correlated with poorer overall health and quality of life. The index emphasizes neurocognitive, pain, and gastrointestinal symptoms in school-age children but change or loss in smell or taste, pain, and fatigue/malaise–related symptoms in adolescents. Clustering analyses identified 4 PASC symptom phenotypes in school-age children and 3 in adolescents. Conclusions and Relevance: This study developed research indices for characterizing PASC in children and adolescents. Symptom patterns were similar but distinguishable between the 2 groups, highlighting the importance of characterizing PASC separately for these age ranges. This observational cohort study examines the symptoms experienced by children after SARS-CoV-2 infection and how these symptoms differ by age (6-11 years vs 12-17 years). [ABSTRACT FROM AUTHOR]

Published
2024
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21. Long COVID: A Narrative Review and Meta-Analysis of Individual Symptom Frequencies.

Author

Atchley-Challenner, Rachel, Strasser, Zachary, Krishnamoorthy, Aparna, Pant, Deepti, Chibnik, Lori B., and Karlson, Elizabeth W.

Subjects
POST-acute COVID-19 syndrome, ELECTRONIC health records, CHILD patients, PUBLISHED articles, DATA recorders & recording
Abstract

Objective: To summarize the prevalence of Long COVID symptoms among the general population reported in published articles from the pre-omicron SARS-CoV2 era. This narrative review examined 21 symptoms. Methods: A PubMed/manual search returned 114 articles on general Long COVID symptoms. Manuscripts were excluded if they were not research studies, did not report symptom prevalence, or used a pediatric population. Ninety-eight studies were selected for review and fifty-nine met the criteria for inclusion. The risk of bias was assessed with the Hoy critical appraisal tool. Results: After excluding studies with a high risk of bias, meta-analysis of prevalence for 21 symptom categories ranged from 2.6–28.7% in studies based on surveys to 0.3–7.1% in studies based on electronic health record data. Conclusions: Long COVID symptom studies are limited by the variability in study design and representation of the general population. Further research is needed to effectively cluster symptoms in meaningful ways that enable focused treatment. [ABSTRACT FROM AUTHOR]

Published
2024
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22. Sex-Specific Association of Apolipoprotein E With Cerebrospinal Fluid Levels of Tau

Author

Hohman, Timothy J, Dumitrescu, Logan, Barnes, Lisa L, Thambisetty, Madhav, Beecham, Gary, Kunkle, Brian, Gifford, Katherine A, Bush, William S, Chibnik, Lori B, Mukherjee, Shubhabrata, De Jager, Philip L, Kukull, Walter, Crane, Paul K, Resnick, Susan M, Keene, C Dirk, Montine, Thomas J, Schellenberg, Gerard D, Haines, Jonathan L, Zetterberg, Henrik, Blennow, Kaj, Larson, Eric B, Johnson, Sterling C, Albert, Marilyn, Bennett, David A, Schneider, Julie A, and Jefferson, Angela L

Subjects
Biomedical and Clinical Sciences, Neurosciences, Clinical Sciences, Acquired Cognitive Impairment, Brain Disorders, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Neurodegenerative, Aging, Alzheimer's Disease, Genetics, Clinical Research, Dementia, Detection, screening and diagnosis, 4.2 Evaluation of markers and technologies, 2.1 Biological and endogenous factors, Aetiology, 4.1 Discovery and preclinical testing of markers and technologies, Neurological, Aged, 80 and over, Alzheimer Disease, Amyloid beta-Peptides, Apolipoproteins E, Cohort Studies, Female, Genotype, Humans, Male, Neurofibrillary Tangles, Peptide Fragments, Phosphoproteins, Plaque, Amyloid, Sex Factors, tau Proteins, Alzheimer’s Disease Genetics Consortium and the Alzheimer’s Disease Neuroimaging Initiative
Abstract

ImportanceThe strongest genetic risk factor for Alzheimer disease (AD), the apolipoprotein E (APOE) gene, has a stronger association among women compared with men. Yet limited work has evaluated the association between APOE alleles and markers of AD neuropathology in a sex-specific manner.ObjectiveTo evaluate sex differences in the association between APOE and markers of AD neuropathology measured in cerebrospinal fluid (CSF) during life or in brain tissue at autopsy.Design, setting, and participantsThis multicohort study selected data from 10 longitudinal cohort studies of normal aging and AD. Cohorts had variable recruitment criteria and follow-up intervals and included population-based and clinic-based samples. Inclusion in our analysis required APOE genotype data and either CSF data available for analysis. Analyses began on November 6, 2017, and were completed on December 20, 2017.Main outcomes and measuresBiomarker analyses included levels of β-amyloid 42, total tau, and phosphorylated tau measured in CSF. Autopsy analyses included Consortium to Establish a Registry for Alzheimer's Disease staging for neuritic plaques and Braak staging for neurofibrillary tangles.ResultsOf the 1798 patients in the CSF biomarker cohort, 862 were women, 226 had AD, 1690 were white, and the mean (SD) age was 70 [9] years. Of the 5109 patients in the autopsy cohort, 2813 were women, 4953 were white, and the mean (SD) age was 84 (9) years. After correcting for multiple comparisons using the Bonferroni procedure, we observed a statistically significant interaction between APOE-ε4 and sex on CSF total tau (β = 0.41; 95% CI, 0.27-0.55; P

Published
2018

23. Reproductive period and epigenetic modifications of the oxidative phosphorylation pathway in the human prefrontal cortex

Author

Bove, Riley M, Patrick, Ellis, Aubin, Cristin McCabe, Srivastava, Gyan, Schneider, Julie A, Bennett, David A, De Jager, Philip L, and Chibnik, Lori B

Subjects
Biological Psychology, Biological Sciences, Genetics, Psychology, Aging, Estrogen, Neurosciences, Contraception/Reproduction, 1.1 Normal biological development and functioning, Aetiology, Underpinning research, 2.1 Biological and endogenous factors, Reproductive health and childbirth, Neurological, Good Health and Well Being, Aged, 80 and over, Autopsy, Cognition, CpG Islands, DNA Methylation, DNA Repair, Disease Susceptibility, E2F Transcription Factors, Epigenesis, Genetic, Estradiol, Fatty Acids, Female, Humans, Lipid Metabolism, Mechanistic Target of Rapamycin Complex 1, Oxidative Phosphorylation, Prefrontal Cortex, Prospective Studies, Proto-Oncogene Proteins c-myc, Reproduction, Stroke, General Science & Technology
Abstract

PurposeHuman females have a unique duration of post-reproductive longevity, during which sex-specific mechanisms ma influence later-life mechanisms of neuronal resilience and vulnerability. The maintenance of energy metabolism, through the oxidative phosphorylation (OXPHOS) apparatus, is essential for brain health. Given the known association between reproductive period (years from menarche to menopause) and cognitive aging, we examined the hypothesis that cumulative estrogen exposure across the lifetime may be associated with differential methylation of genes in the OXPHOS pathway.MethodsUsing DNA methylation patterns in the post-mortem dorsolateral prefrontal cortex (DLPFC) of 426 women prospectively followed until death in the Religious Orders Study and Rush Memory and Aging Project, we examined the relationship between reproductive period (subtracting age at menarche from age at menopause) and DNA methylation of a published set of autosomal OXPHOS genes previously implicated in stroke susceptibility. We then performed an unsupervised analysis of methylation levels across the Hallmark pathways from the Molecular Signatures Database.ResultsWe observed a strong association between reproductive period and DNA methylation status across OXPHOS CpGs. We replicated this association between reproductive period and DNA methylation in a much larger set of OXPHOS genes in our unsupervised analysis. Here, reproductive period also showed associations with methylation in genes related to E2F, MYC and MTORC1 signaling, fatty acid metabolism and DNA repair.ConclusionThis study provides evidence from both a supervised and unsupervised analyses, that lifetime cumulative endogenous steroid exposures may play a role in maintenance of post-menopausal cellular balance, including in brain tissue.

Published
2018

24. Post-traumatic stress disorder symptom remission and cognition in a large cohort of civilian women – CORRIGENDUM

Author

Liu, Jiaxuan, primary, Roberts, Andrea L., additional, Lawn, Rebecca B., additional, Jha, Shaili C., additional, Sampson, Laura, additional, Sumner, Jennifer A., additional, Kang, Jae H., additional, Rimm, Eric B., additional, Grodstein, Francine, additional, Liang, Liming, additional, Haneuse, Sebastien, additional, Kubzansky, Laura D., additional, Koenen, Karestan C., additional, and Chibnik, Lori B., additional

Published
2024
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28. DNA Methylation Mediates the Association Between Cardiometabolic Risk Factors and Cognition: Findings From the Health and Retirement Study.

Author

Wan, Zengyi, Chibnik, Lori B, Valeri, Linda, Hughes, Timothy M, Blacker, Deborah, and Ma, Yuan

Subjects
*DNA methylation, *COGNITIVE ability, *CARDIOVASCULAR diseases, *BODY weight, *AGE factors in disease
Abstract

The association between cardiometabolic risk factors and cognitive function has been well documented, but the underlying mechanisms are not fully understood. This longitudinal study aimed to investigate the potential mediating role of DNA methylation in this association. We conducted the analyses in 3 708 participants (mean [standard deviation { SD }] age: 67.3 [9.5], women: 57.9%) from the Health and Retirement Study who were assessed in the 2014–2020 waves, had Infinium Methylation EPIC BeadChip methylation assays from the 2016 Venous Blood Study, and had cognitive assessment between 2016 and 2020. Causal mediation analyses were used to test the mediation role of DNA methylation in the associations between cardiometabolic risk factors and cognition, adjusting for demographic, socioeconomic, and lifestyle factors. Hypertension (−0.061 in composite cognitive z -score; 95% confidence interval [CI: −0.119, −0.004]) and diabetes (−0.134; 95% CI: [−0.198, −0.071]) were significantly associated with worse cognitive function while abnormal body weight and hypercholesterolemia were not. An increased number of cardiometabolic risk factors was associated with worse cognitive function (p  = .002). DNA methylation significantly mediated the association of hypertension (mediated effect on composite cognitive z -score: −0.023; 95% CI: −0.033, −0.014), diabetes (−0.022; 95% CI: −0.032, −0.014), and obesity (−0.021; 95% CI: −0.033, −0.011) with cognitive function, whereas the mediation effect was not observed for having hypercholesterolemia. The estimated proportions mediated were 37.4% for hypertension and 16.7% for diabetes. DNA methylation may be an important mediator linking cardiometabolic risk factors to worse cognition and might even provide a potential target for dementia prevention. [ABSTRACT FROM AUTHOR]

Published
2024
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29. Sex Differences in People with Tourette Syndrome and Persistent Motor or Vocal Tic Disorder in the Tourette Association of America International Consortium for Genetics Database

Author

Dy-Hollins, Marisela Elizabeth, primary, Chibnik, Lori B., additional, Tracy, Natasha, additional, Osiecki, Lisa, additional, Budman, Cathy L, additional, Cath, Danielle C, additional, Grados, Marco A, additional, King, Robert A, additional, Lyon, Gholson J, additional, Rouleau, Guy J, additional, Sandor, Paul, additional, Singer, Harvey S, additional, Sharma, Nutan, additional, Mathews, Carol A, additional, and Scharf, Jeremiah, additional

Published
2024
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30. Tau molecular diversity contributes to clinical heterogeneity in Alzheimer’s disease

Author

Dujardin, Simon, Commins, Caitlin, Lathuiliere, Aurelien, Beerepoot, Pieter, Fernandes, Analiese R., Kamath, Tarun V., De Los Santos, Mark B., Klickstein, Naomi, Corjuc, Diana L., Corjuc, Bianca T., Dooley, Patrick M., Viode, Arthur, Oakley, Derek H., Moore, Benjamin D., Mullin, Kristina, Jean-Gilles, Dinorah, Clark, Ryan, Atchison, Kevin, Moore, Renee, Chibnik, Lori B., Tanzi, Rudolph E., Frosch, Matthew P., Serrano-Pozo, Alberto, Elwood, Fiona, Steen, Judith A., Kennedy, Matthew E., and Hyman, Bradley T.

Published
2020
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32. Alzheimer's disease: early alterations in brain DNA methylation at ANK1, BIN1, RHBDF2 and other loci

Author

De Jager, Philip L, Srivastava, Gyan, Lunnon, Katie, Burgess, Jeremy, Schalkwyk, Leonard C, Yu, Lei, Eaton, Matthew L, Keenan, Brendan T, Ernst, Jason, McCabe, Cristin, Tang, Anna, Raj, Towfique, Replogle, Joseph, Brodeur, Wendy, Gabriel, Stacey, Chai, High S, Younkin, Curtis, Younkin, Steven G, Zou, Fanggeng, Szyf, Moshe, Epstein, Charles B, Schneider, Julie A, Bernstein, Bradley E, Meissner, Alex, Ertekin-Taner, Nilufer, Chibnik, Lori B, Kellis, Manolis, Mill, Jonathan, and Bennett, David A

Subjects
Neurosciences, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Brain Disorders, Alzheimer's Disease, Human Genome, Genetics, Dementia, Neurodegenerative, Acquired Cognitive Impairment, Aging, 2.1 Biological and endogenous factors, Aetiology, Neurological, Adaptor Proteins, Signal Transducing, Aged, Aged, 80 and over, Alzheimer Disease, Amyloidosis, Ankyrins, Brain, Carrier Proteins, CpG Islands, DNA Methylation, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Intracellular Signaling Peptides and Proteins, Male, Middle Aged, Nuclear Proteins, Protein Interaction Maps, Tumor Suppressor Proteins, Psychology, Cognitive Sciences, Neurology & Neurosurgery
Abstract

We used a collection of 708 prospectively collected autopsied brains to assess the methylation state of the brain's DNA in relation to Alzheimer's disease (AD). We found that the level of methylation at 71 of the 415,848 interrogated CpGs was significantly associated with the burden of AD pathology, including CpGs in the ABCA7 and BIN1 regions, which harbor known AD susceptibility variants. We validated 11 of the differentially methylated regions in an independent set of 117 subjects. Furthermore, we functionally validated these CpG associations and identified the nearby genes whose RNA expression was altered in AD: ANK1, CDH23, DIP2A, RHBDF2, RPL13, SERPINF1 and SERPINF2. Our analyses suggest that these DNA methylation changes may have a role in the onset of AD given that we observed them in presymptomatic subjects and that six of the validated genes connect to a known AD susceptibility gene network.

Published
2014

33. Researching COVID to enhance recovery (RECOVER) pediatric study protocol: Rationale, objectives and design.

Author

Gross, Rachel S., Thaweethai, Tanayott, Rosenzweig, Erika B., Chan, James, Chibnik, Lori B., Cicek, Mine S., Elliott, Amy J., Flaherman, Valerie J., Foulkes, Andrea S., Gage Witvliet, Margot, Gallagher, Richard, Gennaro, Maria Laura, Jernigan, Terry L., Karlson, Elizabeth W., Katz, Stuart D., Kinser, Patricia A., Kleinman, Lawrence C., Lamendola-Essel, Michelle F., Milner, Joshua D., and Mohandas, Sindhu

Subjects
YOUNG adults, POST-acute COVID-19 syndrome, COVID-19, NEURAL development, RESEARCH protocols, COGNITIVE development
Abstract

Importance: The prevalence, pathophysiology, and long-term outcomes of COVID-19 (post-acute sequelae of SARS-CoV-2 [PASC] or "Long COVID") in children and young adults remain unknown. Studies must address the urgent need to define PASC, its mechanisms, and potential treatment targets in children and young adults. Observations: We describe the protocol for the Pediatric Observational Cohort Study of the NIH's REsearching COVID to Enhance Recovery (RECOVER) Initiative. RECOVER-Pediatrics is an observational meta-cohort study of caregiver-child pairs (birth through 17 years) and young adults (18 through 25 years), recruited from more than 100 sites across the US. This report focuses on two of four cohorts that comprise RECOVER-Pediatrics: 1) a de novo RECOVER prospective cohort of children and young adults with and without previous or current infection; and 2) an extant cohort derived from the Adolescent Brain Cognitive Development (ABCD) study (n = 10,000). The de novo cohort incorporates three tiers of data collection: 1) remote baseline assessments (Tier 1, n = 6000); 2) longitudinal follow-up for up to 4 years (Tier 2, n = 6000); and 3) a subset of participants, primarily the most severely affected by PASC, who will undergo deep phenotyping to explore PASC pathophysiology (Tier 3, n = 600). Youth enrolled in the ABCD study participate in Tier 1. The pediatric protocol was developed as a collaborative partnership of investigators, patients, researchers, clinicians, community partners, and federal partners, intentionally promoting inclusivity and diversity. The protocol is adaptive to facilitate responses to emerging science. Conclusions and relevance: RECOVER-Pediatrics seeks to characterize the clinical course, underlying mechanisms, and long-term effects of PASC from birth through 25 years old. RECOVER-Pediatrics is designed to elucidate the epidemiology, four-year clinical course, and sociodemographic correlates of pediatric PASC. The data and biosamples will allow examination of mechanistic hypotheses and biomarkers, thus providing insights into potential therapeutic interventions. Clinical trials.gov identifier: Clinical Trial Registration: http://www.clinicaltrials.gov. Unique identifier: NCT05172011. [ABSTRACT FROM AUTHOR]

Published
2024
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34. PHYSICAL COMORBIDITY AND MULTIMORBIDITY AMONG ADULTS WITH SCHIZOPHRENIA, SCHIZOAFFECTIVE DISORDER, AND BIPOLAR DISORDER IN SUB-SAHARAN AFRICA

Author

Milkias, Barkot, primary, Arinda, Anita, additional, Girma, Engida, additional, Akena, Dickens, additional, Atwoli, Lukoye, additional, Chibnik, Lori B., additional, Kariuki, Symon, additional, Newton, Charles, additional, Post, Kristianna, additional, Stein, Dan, additional, Stroud, Rocky, additional, Teferra, Solomon, additional, Zingela, Zuki, additional, Kim, Hannah, additional, and Gelaye, Bizu, additional

Published
2023
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37. CD33 Alzheimer's disease locus: altered monocyte function and amyloid biology

Author

Bradshaw, Elizabeth M, Chibnik, Lori B, Keenan, Brendan T, Ottoboni, Linda, Raj, Towfique, Tang, Anna, Rosenkrantz, Laura L, Imboywa, Selina, Lee, Michelle, Von Korff, Alina, Morris, Martha C, Evans, Denis A, Johnson, Keith, Sperling, Reisa A, Schneider, Julie A, Bennett, David A, and De Jager, Philip L

Subjects
Biological Psychology, Biomedical and Clinical Sciences, Neurosciences, Psychology, Aging, Prevention, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Human Genome, Genetics, Acquired Cognitive Impairment, Neurodegenerative, Brain Disorders, Dementia, Alzheimer's Disease, 2.1 Biological and endogenous factors, Aetiology, Neurological, Adult, Age Factors, Aged, Aged, 80 and over, Alzheimer Disease, Amyloid beta-Peptides, Aniline Compounds, Brain, Cognitive Dysfunction, Cohort Studies, Dextrans, Female, Genetic Association Studies, Genotype, HLA-D Antigens, Humans, Male, Microglia, Middle Aged, Monocytes, Peptide Fragments, Plaque, Amyloid, Polymorphism, Genetic, Radionuclide Imaging, Sialic Acid Binding Ig-like Lectin 3, Thiazoles, Young Adult, Alzheimer Disease Neuroimaging Initiative, Cognitive Sciences, Neurology & Neurosurgery, Biological psychology
Abstract

In our functional dissection of the CD33 Alzheimer's disease susceptibility locus, we found that the rs3865444(C) risk allele was associated with greater cell surface expression of CD33 in the monocytes (t50 = 10.06, P(joint) = 1.3 × 10(-13)) of young and older individuals. It was also associated with diminished internalization of amyloid-β 42 peptide, accumulation of neuritic amyloid pathology and fibrillar amyloid on in vivo imaging, and increased numbers of activated human microglia.

Published
2013

38. Modeling Disease Severity in Multiple Sclerosis Using Electronic Health Records

Author

Xia, Zongqi, Secor, Elizabeth, Chibnik, Lori B, Bove, Riley M, Cheng, Suchun, Chitnis, Tanuja, Cagan, Andrew, Gainer, Vivian S, Chen, Pei J, Liao, Katherine P, Shaw, Stanley Y, Ananthakrishnan, Ashwin N, Szolovits, Peter, Weiner, Howard L, Karlson, Elizabeth W, Murphy, Shawn N, Savova, Guergana K, Cai, Tianxi, Churchill, Susanne E, Plenge, Robert M, Kohane, Isaac S, and De Jager, Philip L

Subjects
Health Services and Systems, Health Sciences, Neurodegenerative, Clinical Research, Multiple Sclerosis, Autoimmune Disease, Neurosciences, Brain Disorders, Neurological, Algorithms, Electronic Health Records, Female, Humans, Male, Models, Biological, Severity of Illness Index, General Science & Technology
Abstract

ObjectiveTo optimally leverage the scalability and unique features of the electronic health records (EHR) for research that would ultimately improve patient care, we need to accurately identify patients and extract clinically meaningful measures. Using multiple sclerosis (MS) as a proof of principle, we showcased how to leverage routinely collected EHR data to identify patients with a complex neurological disorder and derive an important surrogate measure of disease severity heretofore only available in research settings.MethodsIn a cross-sectional observational study, 5,495 MS patients were identified from the EHR systems of two major referral hospitals using an algorithm that includes codified and narrative information extracted using natural language processing. In the subset of patients who receive neurological care at a MS Center where disease measures have been collected, we used routinely collected EHR data to extract two aggregate indicators of MS severity of clinical relevance multiple sclerosis severity score (MSSS) and brain parenchymal fraction (BPF, a measure of whole brain volume).ResultsThe EHR algorithm that identifies MS patients has an area under the curve of 0.958, 83% sensitivity, 92% positive predictive value, and 89% negative predictive value when a 95% specificity threshold is used. The correlation between EHR-derived and true MSSS has a mean R(2) = 0.38±0.05, and that between EHR-derived and true BPF has a mean R(2) = 0.22±0.08. To illustrate its clinical relevance, derived MSSS captures the expected difference in disease severity between relapsing-remitting and progressive MS patients after adjusting for sex, age of symptom onset and disease duration (p = 1.56×10(-12)).ConclusionIncorporation of sophisticated codified and narrative EHR data accurately identifies MS patients and provides estimation of a well-accepted indicator of MS severity that is widely used in research settings but not part of the routine medical records. Similar approaches could be applied to other complex neurological disorders.

Published
2013

39. Modeling the Cumulative Genetic Risk for Multiple Sclerosis from Genome Wide Association Data

Author

Wang, Joanne H, Pappas, Derek, De Jager, Philip L, Pelletier, Daniel, de Bakker, Paul IW, Kappos, Ludwig, Polman, Chris H, james.wiley@florey.edu.au, Chibnik, Lori B, Hafler, David A, Matthews, Paul M, Hauser, Stephen L, Baranzini, Sergio E, and Oksenberg, Jorge R

Abstract

Abstract Background Multiple sclerosis (MS) is the most common cause of chronic neurologic disability beginning in early to middle adult life. Results from recent genome-wide association studies (GWAS) have substantially lengthened the list of disease loci and provide convincing evidence supporting a multifactorial and polygenic model of inheritance. Nevertheless, the knowledge of MS genetics remains incomplete, with many risk alleles still to be revealed. Methods We used a discovery GWAS dataset (8,844 samples, 2,124 cases and 6,720 controls) and a multi-step logistic regression protocol to identify novel genetic associations. The emerging genetic profile included 350 independent markers and was used to calculate and estimate the cumulative genetic risk in an independent validation dataset (3,606 samples). Analysis of covariance (ANCOVA) was implemented to compare clinical characteristics of individuals with various degrees of genetic risk. Gene ontology and pathway enrichment analysis was done using the DAVID functional annotation tool, the GO Tree Machine, and the Pathway-Express profiling tool. Results In the discovery dataset, the median cumulative genetic risk (P-Hat) was 0.903 and 0.007 in the case and control groups, respectively, together with 79.9% classification sensitivity and 95.8% specificity. The identified profile shows a significant enrichment of genes involved in the immune response, cell adhesion, cell communication/signaling, nervous system development, and neuronal signaling, including ionotropic glutamate receptors, which have been implicated in the pathological mechanism driving neurodegeneration. In the validation dataset, the median cumulative genetic risk was 0.59 and 0.32 in the case and control groups, respectively, with classification sensitivity 62.3% and specificity 75.9%. No differences in disease progression or T2-lesion volumes were observed among four levels of predicted genetic risk groups (high, medium, low, misclassified). On the other hand, a significant difference (F = 2.75, P = 0.04) was detected for age of disease onset between the affected misclassified as controls (mean = 36 years) and the other three groups (high, 33.5 years; medium, 33.4 years; low, 33.1 years). Conclusions The results are consistent with the polygenic model of inheritance. The cumulative genetic risk established using currently available genome-wide association data provides important insights into disease heterogeneity and completeness of current knowledge in MS genetics.

Published
2011

40. Trends in the incidence of dementia: design and methods in the Alzheimer Cohorts Consortium

Author

Chibnik, Lori B., Wolters, Frank J., Bäckman, Kristoffer, Beiser, Alexa, Berr, Claudine, Bis, Joshua C., Boerwinkle, Eric, Bos, Daniel, Brayne, Carol, Dartigues, Jean-Francois, Darweesh, Sirwan K. L., Debette, Stephanie, Davis-Plourde, Kendra L., Dufouil, Carole, Fornage, Myriam, Grasset, Leslie, Gudnason, Vilmundur, Hadjichrysanthou, Christoforos, Helmer, Catherine, Ikram, M. Arfan, Ikram, M. Kamran, Kern, Silke, Kuller, Lewis H., Launer, Lenore, Lopez, Oscar L., Matthews, Fiona, Meirelles, Osorio, Mosley, Thomas, Ower, Alison, Psaty, Bruce M., Satizabal, Claudia L., Seshadri, Sudha, Skoog, Ingmar, Stephan, Blossom C. M., Tzourio, Christophe, Waziry, Reem, Wong, Mei Mei, Zettergren, Anna, and Hofman, Albert

Published
2017

41. Post-traumatic stress disorder symptom remission and cognition in a large cohort of civilian women

Author

Liu, Jiaxuan, primary, Roberts, Andrea L., additional, Lawn, Rebecca B., additional, Jha, Shaili C., additional, Sampson, Laura, additional, Sumner, Jennifer A., additional, Kang, Jae H., additional, Rimm, Eric B., additional, Grodstein, Francine, additional, Liang, Liming, additional, Haneuse, Sebastien, additional, Kubzansky, Laura D., additional, Koenen, Karestan C., additional, and Chibnik, Lori B., additional

Published
2023
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42. Researching COVID to Enhance Recovery (RECOVER) adult study protocol: Rationale, objectives, and design

Author

Horwitz, Leora I., primary, Thaweethai, Tanayott, additional, Brosnahan, Shari B., additional, Cicek, Mine S., additional, Fitzgerald, Megan L., additional, Goldman, Jason D., additional, Hess, Rachel, additional, Hodder, S. L., additional, Jacoby, Vanessa L., additional, Jordan, Michael R., additional, Krishnan, Jerry A., additional, Laiyemo, Adeyinka O., additional, Metz, Torri D., additional, Nichols, Lauren, additional, Patzer, Rachel E., additional, Sekar, Anisha, additional, Singer, Nora G., additional, Stiles, Lauren E., additional, Taylor, Barbara S., additional, Ahmed, Shifa, additional, Algren, Heather A., additional, Anglin, Khamal, additional, Aponte-Soto, Lisa, additional, Ashktorab, Hassan, additional, Bassett, Ingrid V., additional, Bedi, Brahmchetna, additional, Bhadelia, Nahid, additional, Bime, Christian, additional, Bind, Marie-Abele C., additional, Black, Lora J., additional, Blomkalns, Andra L., additional, Brim, Hassan, additional, Castro, Mario, additional, Chan, James, additional, Charney, Alexander W., additional, Chen, Benjamin K., additional, Chen, Li Qing, additional, Chen, Peter, additional, Chestek, David, additional, Chibnik, Lori B., additional, Chow, Dominic C., additional, Chu, Helen Y., additional, Clifton, Rebecca G., additional, Collins, Shelby, additional, Costantine, Maged M., additional, Cribbs, Sushma K., additional, Deeks, Steven G., additional, Dickinson, John D., additional, Donohue, Sarah E., additional, Durstenfeld, Matthew S., additional, Emery, Ivette F., additional, Erlandson, Kristine M., additional, Facelli, Julio C., additional, Farah-Abraham, Rachael, additional, Finn, Aloke V., additional, Fischer, Melinda S., additional, Flaherman, Valerie J., additional, Fleurimont, Judes, additional, Fonseca, Vivian, additional, Gallagher, Emily J., additional, Gander, Jennifer C., additional, Gennaro, Maria Laura, additional, Gibson, Kelly S., additional, Go, Minjoung, additional, Goodman, Steven N., additional, Granger, Joey P., additional, Greenway, Frank L., additional, Hafner, John W., additional, Han, Jenny E., additional, Harkins, Michelle S., additional, Hauser, Kristine S. P., additional, Heath, James R., additional, Hernandez, Carla R., additional, Ho, On, additional, Hoffman, Matthew K., additional, Hoover, Susan E., additional, Horowitz, Carol R., additional, Hsu, Harvey, additional, Hsue, Priscilla Y., additional, Hughes, Brenna L., additional, Jagannathan, Prasanna, additional, James, Judith A., additional, John, Janice, additional, Jolley, Sarah, additional, Judd, S. E., additional, Juskowich, Joy J., additional, Kanjilal, Diane G., additional, Karlson, Elizabeth W., additional, Katz, Stuart D., additional, Kelly, J. Daniel, additional, Kelly, Sara W., additional, Kim, Arthur Y., additional, Kirwan, John P., additional, Knox, Kenneth S., additional, Kumar, Andre, additional, Lamendola-Essel, Michelle F., additional, Lanca, Margaret, additional, Lee-lannotti, Joyce K., additional, Lefebvre, R. Craig, additional, Levy, Bruce D., additional, Lin, Janet Y., additional, Logarbo, Brian P., additional, Logue, Jennifer K., additional, Longo, Michele T., additional, Luciano, Carlos A., additional, Lutrick, Karen, additional, Malakooti, Shahdi K., additional, Mallett, Gail, additional, Maranga, Gabrielle, additional, Marathe, Jai G., additional, Marconi, Vincent C., additional, Marshall, Gailen D., additional, Martin, Christopher F., additional, Martin, Jeffrey N., additional, May, Heidi T., additional, McComsey, Grace A., additional, McDonald, Dylan, additional, Mendez-Figueroa, Hector, additional, Miele, Lucio, additional, Mittleman, Murray A., additional, Mohandas, Sindhu, additional, Mouchati, Christian, additional, Mullington, Janet M., additional, Nadkarni, Girish N., additional, Nahin, Erica R., additional, Neuman, Robert B., additional, Newman, Lisa T., additional, Nguyen, Amber, additional, Nikolich, Janko Z., additional, Ofotokun, Igho, additional, Ogbogu, Princess U., additional, Palatnik, Anna, additional, Palomares, Kristy T. S., additional, Parimon, Tanyalak, additional, Parry, Samuel, additional, Parthasarathy, Sairam, additional, Patterson, Thomas F., additional, Pearman, Ann, additional, Peluso, Michael J., additional, Pemu, Priscilla, additional, Pettker, Christian M., additional, Plunkett, Beth A., additional, Pogreba-Brown, Kristen, additional, Poppas, Athena, additional, Porterfield, J. Zachary, additional, Quigley, John G., additional, Quinn, Davin K., additional, Raissy, Hengameh, additional, Rebello, Candida J., additional, Reddy, Uma M., additional, Reece, Rebecca, additional, Reeder, Harrison T., additional, Rischard, Franz P., additional, Rosas, Johana M., additional, Rosen, Clifford J., additional, Rouphael, Nadine G., additional, Rouse, Dwight J., additional, Ruff, Adam M., additional, Saint Jean, Christina, additional, Sandoval, Grecio J., additional, Santana, Jorge L., additional, Schlater, Shannon M., additional, Sciurba, Frank C., additional, Selvaggi, Caitlin, additional, Seshadri, Sudha, additional, Sesso, Howard D., additional, Shah, Dimpy P., additional, Shemesh, Eyal, additional, Sherif, Zaki A., additional, Shinnick, Daniel J., additional, Simhan, Hyagriv N., additional, Singh, Upinder, additional, Sowles, Amber, additional, Subbian, Vignesh, additional, Sun, Jun, additional, Suthar, Mehul S., additional, Teunis, Larissa J., additional, Thorp, John M., additional, Ticotsky, Amberly, additional, Tita, Alan T. N., additional, Tragus, Robin, additional, Tuttle, Katherine R., additional, Urdaneta, Alfredo E., additional, Utz, P. J., additional, VanWagoner, Timothy M., additional, Vasey, Andrew, additional, Vernon, Suzanne D., additional, Vidal, Crystal, additional, Walker, Tiffany, additional, Ward, Honorine D., additional, Warren, David E., additional, Weeks, Ryan M., additional, Weiner, Steven J., additional, Weyer, Jordan C., additional, Wheeler, Jennifer L., additional, Whiteheart, Sidney W., additional, Wiley, Zanthia, additional, Williams, Natasha J., additional, Wisnivesky, Juan P., additional, Wood, John C., additional, Yee, Lynn M., additional, Young, Natalie M., additional, Zisis, Sokratis N., additional, and Foulkes, Andrea S., additional

Published
2023
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43. Cell-type-specific Alzheimer’s disease polygenic risk scores are associated with distinct disease processes in Alzheimer’s disease

Author

Yang, Hyun-Sik, primary, Teng, Ling, additional, Kang, Daniel, additional, Menon, Vilas, additional, Ge, Tian, additional, Finucane, Hilary K., additional, Schultz, Aaron P., additional, Properzi, Michael, additional, Klein, Hans-Ulrich, additional, Chibnik, Lori B., additional, Schneider, Julie A., additional, Bennett, David A., additional, Hohman, Timothy J., additional, Mayeux, Richard P., additional, Johnson, Keith A., additional, De Jager, Philip L., additional, and Sperling, Reisa A., additional

Published
2023
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45. Twenty-seven-year time trends in dementia incidence in Europe and the United States: The Alzheimer Cohorts Consortium

Author

Wolters, Frank J., Chibnik, Lori B., Waziry, Reem, Anderson, Roy, Berr, Claudine, Beiser, Alexa, Bis, Joshua C., Blacker, Deborah, Bos, Daniel, Brayne, Carol, Dartigues, Jean-François, Darweesh, Sirwan K.L., Davis-Plourde, Kendra L., de Wolf, Frank, Debette, Stephanie, Dufouil, Carole, Fornage, Myriam, Goudsmit, Jaap, Grasset, Leslie, Gudnason, Vilmundur, Hadjichrysanthou, Christoforos, Helmer, Catherine, Ikram, M. Arfan, Ikram, M. Kamran, Joas, Erik, Kern, Silke, Kuller, Lewis H., Launer, Lenore, Lopez, Oscar L., Matthews, Fiona E., McRae-McKee, Kevin, Meirelles, Osorio, Mosley, Thomas H., Jr, Pase, Matthew P., Psaty, Bruce M., Satizabal, Claudia L., Seshadri, Sudha, Skoog, Ingmar, Stephan, Blossom C.M., Wetterberg, Hanna, Wong, Mei Mei, Zettergren, Anna, and Hofman, Albert

Published
2020
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48. A molecular network of the aging human brain provides insights into the pathology and cognitive decline of Alzheimer’s disease

Author

Mostafavi, Sara, Gaiteri, Chris, Sullivan, Sarah E., White, Charles C., Tasaki, Shinya, Xu, Jishu, Taga, Mariko, Klein, Hans-Ulrich, Patrick, Ellis, Komashko, Vitalina, McCabe, Cristin, Smith, Robert, Bradshaw, Elizabeth M., Root, David E., Regev, Aviv, Yu, Lei, Chibnik, Lori B., Schneider, Julie A., Young-Pearse, Tracy L., Bennett, David A., and De Jager, Philip L.

Published
2018
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49. Researching COVID to enhance recovery (RECOVER) pregnancy study: Rationale, objectives and design

Author

Metz, Torri D., primary, Clifton, Rebecca G., additional, Gallagher, Richard, additional, Gross, Rachel S., additional, Horwitz, Leora I., additional, Jacoby, Vanessa L., additional, Martin-Herz, Susanne P., additional, Peralta-Carcelen, Myriam, additional, Reeder, Harrison T., additional, Beamon, Carmen J., additional, Bind, Marie-Abele, additional, Chan, James, additional, Chang, A. Ann, additional, Chibnik, Lori B., additional, Costantine, Maged M., additional, Fitzgerald, Megan L., additional, Foulkes, Andrea S., additional, Gibson, Kelly S., additional, Güthe, Nick, additional, Habli, Mounira, additional, Hackney, David N., additional, Hoffman, Matthew K., additional, Hoffman, M. Camille, additional, Hughes, Brenna L., additional, Katz, Stuart D., additional, Laleau, Victoria, additional, Mallett, Gail, additional, Figueroa, Hector Mendez-, additional, Monzon, Vanessa, additional, Palatnik, Anna, additional, Palomares, Kristy T.S., additional, Parry, Samuel, additional, Pettker, Christian M., additional, Plunkett, Beth A., additional, Poppas, Athena, additional, Reddy, Uma M., additional, Rouse, Dwight J., additional, Saade, George R., additional, Sandoval, Grecio J., additional, Schlater, Shannon M., additional, Sciurba, Frank C., additional, Simhan, Hyagriv N., additional, Skupski, Daniel W., additional, Sowles, Amber, additional, Thaweethai, Tanayott, additional, Thomas, Gelise L., additional, Thorp, John M., additional, Tita, Alan T., additional, Weiner, Steven J., additional, Weigand, Samantha, additional, Yee, Lynn M., additional, and Flaherman, Valerie J., additional

Published
2023
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