Citations

Mayo Clinic

Clear

1314 citation(s) found for "Wu, Kyle C".

Etiology of White Matter Hyperintensities in Autosomal Dominant and Sporadic Alzheimer Disease
Shirzadi, Zahra , Schultz, Stephanie A. , Yau, Wai‐Ying Wendy , Fitzpatrick, Colleen , Levin, Raina, Kantarci, Kejal , Preboske, Gregory M., Jack, Clifford R. , Farlow, Martin R. , Hassenstab, Jason , Morris, John C. , Xiong, Chengjie , Levey, Allan I. , Gordon, Brian A. , Salloway, Stephen , Perrin, Richard J. , Xiong, Chengjie , Fox, Nick C. , Goate, Alison , Day, Gregory S. , Chui, Helena C., Berman, Sarah , Mori, Hiroshi , Ruthirakuhan, Myuri , Wu, Che‐Yuan , Sohrabi, Hamid R. , Martins, Ralph N. , Johnson, Keith A. , Greenberg, Steven M. , Chhatwal, Jasmeer P. , Initiative, Dominantly Inherited Alzheimer Network and the Alzheimer’s Disease Neuroimaging, Weiner, Michael W. , Aisen, Paul, Petersen, Ronald , Jack, Clifford R., Jagust, William J. , Trojanowki, John Q., Morris, John C., Shaw, Leslie M. , Khachaturian, Zaven S., Carrillo, Maria, Potter, William Z., Bernard, Marie , Jackson, Jonathan , Masliah, Eliezer , Masterman, Donna, Okonkwo, Ozioma C. , Ryan, Laurie, Silverberg, Nina, Fleisher, Adam , Sacrey, Diana Truran, Fockler, Juliet , Conti, Cat, Jin, Chengshi , Nosheny, Rachel L. , Ashford, Miriam T. , Flenniken, Derek , Kormos, Adrienne, Montine, Tom, Raman, Rema , Jiménez, Gustavo , Gessert, Devon, Salazar, Jennifer, Zimmerman, Caileigh, Cabrera, Yuliana, Walter, Sarah , Miller, Garrett, Coker, Godfrey, Clanton, Taylor, Hergesheimer, Lindsey, Adegoke, Olusegun, Mahboubi, Payam, Moore, Shelley, Pizzola, Jeremy, Shaffer, Elizabeth , Sloan, Brittany, Forghanian-Arani, Arvin, Borowski, Bret, Ward, Chad, Gunter, Jeff, Jahanshad, Neda , DeCarli, Charles, Knaack, Alexander , Chen, Stephanie Rossi, Choe, Mark, Crawford, Karen , Reiman, Eric M. , Mathis, Chet, Landau, Susan, Cairns, Nigel J., Householder, Erin, Franklin, Erin , Bernhardt, Haley, Taylor‐Reinwald, Lisa, Korecka, Magdalena , Figurski, Michael, Neu, Scott, Apostolova, Liana G. , Foroud, Tatiana M., Faber, Kelley, Wilmes, Kristi, Thal, Leon J., Lind, Betty, Crissey, Rachel, Carter, Raina, Dolen, Sara, Schneider, Lon S. , Pawluczyk, Sonia, Becerra, Mauricio, Teodoro, Liberty, Dagerman, Karen, Spann, Bryan M., Brewer, James B., Vanderswag, Helen, Ziolkowski, Jaimie, Heidebrink, Judith L. , Zbizek-Nulph, Lisa, Mason, Sara S., Albers, Colleen S., Johnson, Kris , Villaneuva-Meyer, Javier, Pavlik, Valory , Pacini, Nathaniel, Lamb, Ashley, Kass, Joseph S. , Doody, Rachelle S., Shibley, Victoria, Chowdhury, Munir , Rountree, Susan, Dang, Mimi, Mintz, Akiva , Winkfield, David, Carroll, Maria , Stobbs-Cucchi, Georgia , Oliver, Angela , Creech, Mary L., Mintun, Mark A., Schneider, Stacy, Geldmacher, David , Love, Marissa Natelson , Griffith, Randall, Clark, David, Brockington, John, Marson, Daniel , Grossman, Hillel, Goldstein, Martin , Mitsis, Effie, Samuels, Patricia, Duara, Ranjan , Greig‐Custo, Maria T., Rodriguez, Rosemarie, Albert, Marilyn, Onyike, Chiadi, Farrington, Leonie, Rudow, Scott, Brichko, Rottislav, Kielb, Stephanie , Smith, Amanda , Raj, Balebail Ashok, Fargher, Kristin, Shulman, Melanie , Faustin, Arline , Rao, Julia, Castro, Karen M. , Ulysse, Anaztasia, Chen, Shannon, Sheikh, Mohammed O., Singleton-Garvin, Jamika, Doraiswamy, P. Murali , Petrella, Jeffrey R. , James, Olga, Borges‐Neto, Salvador , Karlawish, Jason , Vaishnavi, Sanjeev , Clark, Christopher M. , Arnold, Steven E. , Smith, Charles D. , Khouli, Riham El , Raslau, Flavius D., Oakley, MaryAnn, Simpson, Donna M., Martin, Kim, Kowalski, Nancy, Keltz, Melanie, Goldstein, Bonnie S., Makino, Kelly M., Ismail, M. Saleem , Brand, Connie, Thai, Gaby , Pierce, Aimee, Witbracht, Megan , Mathews, Dana, Quiceno, Mary , Hajjar, Ihab , Cellar, Janet S., Swerdlow, Russell H. , Kremen, Sarah , Tingus, Kathleen, Lu, Po H. , Bartzokis, George, Woo, Ellen, Graff‐Radford, Neill R. , Parfitt, Francine, Poki-Walker, Kim, Hake, Ann Marie , Matthews, Brandy R., Herring, Scott, Dyck, Christopher H. van , Mecca, Adam P. , Good, Susan P., MacAvoy, Martha G., Carson, Richard E. , Varma, Pradeep, Chertkow, Howard , Vaitekunis, Susan, Hosein, Chris, Mudge, Benita, Assaly, Michele, Rachinsky, Irina, Kertesz, Andrew, Drost, Dick, Rogers, John, Grant, Ian , Muse, Brittanie, Rogalskı, Emily , Robson, Jordan, Mesulam, M.‐Marsel, Kerwin, Diana , Wu, Chuang‐Kuo, Johnson, Nancy E., Lipowski, Kristine, Weıntraub, Sandra , Bonakdarpour, Borna , Hernando, Raymundo, Sarrael, Antero, Rosen, Howard J., Johnson, Kathleen, Reynolds, Brigid, Poe, Jessica, Sperling, Reisa A., Marshall, Gad A. , Yesavage, Jerome A. , Taylor, Joy L. , Chao, Steven, Coleman, Jaila, White, Jessica D. , Lane, Barton , Rosen, Allyson , Tinklenberg, Jared, Belden, Christine M. , Clark, Kelly, Zamrini, Edward , Sabbagh, Marwan, Kowall, Neil W. , Budson, Andrew E. , Ntekim, Oyonumo, Wolday, Saba, Khan, Javed , Nwulia, Evaristus , Nadarajah, Sheeba , Lerner, Alan J. , Ogrocki, Paula, Tatsuoka, Curtis , Fatica, Parianne, Olichney, John , Bates, Vernice, Capote, Horacio, Rainka, Michelle, Borrie, Michael, Lee, T‐Y, Asthana, Sanjay , Carlsson, Cynthia M., Perrin, Allison, Burke, Anna , Kataki, Maria , Hart, David , Zimmerman, Earl A. , Celmins, Dzintra, Smith, Karen Ekstam, Shim, Hyungsub , Nam, Ki Won , Schtulz, Susan K., Williamson, Jeff D. , Craft, Suzanne , Cleveland, Jo, Ott, Brian R. , Drake, Jonathan, Tremont, Geoffrey , Daiello, Lori A. , Ritter, Aaron, Bernick, Charles , Munic, Donna, O’Connell, Abigail, Mintzer, Jacobo , Wiliams, Arthur, Masdeu, Joseph C. , Shi, Jiong , Garcia, Angelica, Newhouse, Paul , Salloway, Steven, Malloy, Paul, Correia, Stephen , Kittur, Smita, Blank, Karen, Anderson, Karen, Flashman, Laura A. , Seltzer, Marc, Hynes, Mary L. , Santulli, Robert B. , Relkin, Norman , Chiang, Gloria, Lee, Athena, Lin, Michael, Ravdin, Lisa , Sood, Ajay, Blanchard, Kimberly S., Fleischman, Debra , Varon, Daniel, Greig, Maria T., Martin, Kimberly S., Reist, Christopher , Sadowsky, Carl, Villena, Teresa, Rosen, Howard, Peskind, Elaine R. , Li, Gail, Vöglein, Jonathan , Méndez, Patricio Chrem, Ikonomović, Snežana, Nadkarni, Neelesh K. , Ramírez, Laura, Leon, Yudy Milena, Ramos, Cláudia , Alzate, Diana, Baena, Ana , Londono, Natalia, Laske, Christoph , Kuder-Buletta, Elke, Gräber‐Sultan, Susanne, Preische, Oliver, Hofmann, Anna, Ishii, Kenji , Senda, Michio , Riddle, Meghan C., Menard, William, Bodge, Courtney, Surti, Mustafa, Sanchez-Gonzalez, VJ, Orozco-Barajas, Maribel, Esposito, Bianca, Fernanadez, Victoria, Jerome, Gina, Herries, Elizabeth, Seyfried, Nicholas T. , Bechara, Jacob , Chen, Allison , Hantler, Nancy, Hornbeck, Russ C. , Jarman, Steve, Keefe, Sarah , Koudelis, Deborah, Massoumzadeh, Parinaz , Nicklaus, Joyce , Pulizos, Christine, Mishall, Sheetal, Sabaredzovic, Edita, Deng, Emily , Candela, Madison, Smith, Hunter , Scott, Jalen , Gremminger, Emily, Ma, Yinjiao , Bui, Ryan , Lu, Ruijin , Daniels, Alisha , Courtney, Laura, Supnet, Charlene , Xu, Jinbin , Ringman, John M. , Barthélemy, Nicolas R. , Jack, Clifford R , Gordon, Brian A , Kantarci, Kejal , Day, Gregory S , Vöglein, Jonathan , Xiong, Chengjie , Fox, Nick C , Hassenstab, Jason , Morris, John C , Goate, Alison M , Supnet-Bell, Charlene , Berman, Sarah , Levey, Allan I , Kremen, Sarah , Joseph‐Mathurin, Nelly , Jucker, Mathias , Xiong, Chengjie , Karch, Celeste M. , Schofield, Peter R. , McDade, Eric , Cruchaga, Carlos , Allegri, Ricardo , Koeppe, Robert A. , Chui, Helena C. , Sánchez‐Valle, Raquel , Lee, Jae‐Hong , Rosa-Neto, Pedro , Swardfager, Walter , Benzinger, Tammie L.S. , Bateman, Randall J. , Sperling, Reisa Anne , Schultz, Aaron P. , Initiative, Dominantly Inherited Alzheimer Network and the Alzheimer’s Disease Neuroimaging, Jack, Clifford R., Toga, Arthur W. , Beckett, Laurel , Green, Robert C. , Saykin, Andrew J. , Morris, John C., Barnes, Lisa L. , González, Hector, Ho, Carole , Hsiao, John , Veitch, Dallas P. , Neuhaus, John M , Rafii, Michael S. , Donohue, Michael , Smith, Stephanie R. , Harvey, Danielle , Arani, Arvin , Schwarz, Christopher G. , Jones, David T. , Senjem, Matthew L. , Vemuri, Prashanthi , Reid, Robert I. , Malone, Ian B. , Thompson, Paul M. , Thomopoulos, Sophia I. , Nir, Talia M. , Fletcher, Evan M. , Tosun, Duygu , Yushkevich, Paul A. , Das, Sandhitsu R. , Chen, Kewei , Mathis, Chet, Nho, Kwangsik T. , Risacher, Shannon L. , Shen, Li , Nudelman, Kelly , Silbert, Lisa C. , Kaye, Jeffrey , Carter, Raina, Quinn, Joseph F. , Lord, Joanne L. , Knopman, David S. , Stern, Yaakov , Honig, Lawrence S. , Ances, Beau M. , Goldstein, Martin A., Greenberg, Jonathan, Shah, Raj C. , Lamar, Melissa , Duara, Ranjan , Sadowski, Martin , Wısnıewskı, Thomas , Wong, Terence Z. , Wolk, David A. , Jicha, Gregory A. , López, Oscar L. , Porsteinsson, Anton P. , Yanez, Beatriz, Sosa, Elizabeth M. , Kelley, Brendan , Nguyen, Trung Dung , Womack, Kyle , Lah, James J. , Burns, Jeffrey M. , Brooks, William Miles , Silverman, Daniel H.S. , Teng, Edmond , Brosch, Jared R. , Black, Sandra E. , Stefanovic, Bojana , Heyn, Chris , Hsiung, Ging‐Yuek Robin , Kim, Ellen , Sossi, Vesna , Feldman, Howard , Finger, Elizabeth C. , Pasternak, Stephen , Miller, Bruce L. , Perry, David C. , Turner, Raymond Scott , MCCann, Kelly, Sperling, Reisa A., Atri, Alireza , Killiany, Ronald , Stern, Robert A. , Mez, Jesse , Obisesan, Thomas O. , Maillard, Pauline , Carmichael, Owen , Bartha, Robert , Johnson, Sterling C. , Carlsson, Cynthia M. , Scharre, Douglas W. , Tarawneh, Rawan M. , Miller, Del D. , Ponto, Laura L. Boles , Koleva, Hristina , Yang, Mia , Sink, Kaycee M. , Masdeu, Joseph C , Potkin, Steven G. , Salloway, Steve , Pearlson, Godfrey D. , Sood, Ajay, Arfanakis, Konstantinos , Varón, Daniel , Martínez, Walter Fabián , Petrie, Eric C. , Noble, James M. , Surace, Ezequiel , Lopera, Francisco Javier , Aguillon, David , Londono, Natalia, Moreno, Sonia, Ikeuchi, Takeshi , Kasuga, Kensaku , Niimi, Yoshiki , Cash, David M. , Roh, Jee Hoon , Takada, Leonel Tadao , Renton, Alan , Marsh, Jacob A. , Llibre‐Guerra, Jorge J. , Johnson, Erik C. B. , Brooks, William S. , Chen, Charles , Flores, Shaney , McCullough, Austin , McKay, Nicole S. , Wáng, Qīng , Candela, Madison, Hobbs, Diana A. , Wang, Peter , Xu, Xiong, Li, Yan , Sosa, Ana Luisa , Smith, Jennifer A.

JAMA Neurology | October 16, 2023 | Volume: 80 | Issue: 12 | Pages: 1353

10.1001/jamaneurol.2023.3618 | PMID 37843849 Get It

ImportanceIncreased white matter hyperintensity (WMH) volume is a common magnetic resonance imaging (MRI) finding in both autosomal dominant Alzheimer disease (ADAD) and late-onset Alzheimer disease (LOAD), but it remains unclear whether increased WMH along the AD continuum is reflective of AD-intrinsic processes or secondary to elevated systemic vascular risk factors.ObjectiveTo estimate the associations of neurodegeneration and parenchymal and vessel amyloidosis with WMH accumulation and investigate whether systemic vascular risk is associated with WMH beyond these AD-intrinsic processes.Design, Setting, and ParticipantsThis cohort study used data from 3 longitudinal cohort studies conducted in tertiary and community-based medical centers—the Dominantly Inherited Alzheimer Network (DIAN; February 2010 to March 2020), the Alzheimer’s Disease Neuroimaging Initiative (ADNI; July 2007 to September 2021), and the Harvard Aging Brain Study (HABS; September 2010 to December 2019).Main Outcome and MeasuresThe main outcomes were the independent associations of neurodegeneration (decreases in gray matter volume), parenchymal amyloidosis (assessed by amyloid positron emission tomography), and vessel amyloidosis (evidenced by cerebral microbleeds [CMBs]) with cross-sectional and longitudinal WMH.ResultsData from 3960 MRI sessions among 1141 participants were included: 252 pathogenic variant carriers from DIAN (mean [SD] age, 38.4 [11.2] years; 137 [54%] female), 571 older adults from ADNI (mean [SD] age, 72.8 [7.3] years; 274 [48%] female), and 318 older adults from HABS (mean [SD] age, 72.4 [7.6] years; 194 [61%] female). Longitudinal increases in WMH volume were greater in individuals with CMBs compared with those without (DIAN: t = 3.2 [P = .001]; ADNI: t = 2.7 [P = .008]), associated with longitudinal decreases in gray matter volume (DIAN: t = −3.1 [P = .002]; ADNI: t = −5.6 [P < .001]; HABS: t = −2.2 [P = .03]), greater in older individuals (DIAN: t = 6.8 [P < .001]; ADNI: t = 9.1 [P < .001]; HABS: t = 5.4 [P < .001]), and not associated with systemic vascular risk (DIAN: t = 0.7 [P = .40]; ADNI: t = 0.6 [P = .50]; HABS: t = 1.8 [P = .06]) in individuals with ADAD and LOAD after accounting for age, gray matter volume, CMB presence, and amyloid burden. In older adults without CMBs at baseline, greater WMH volume was associated with CMB development during longitudinal follow-up (Cox proportional hazards regression model hazard ratio, 2.63; 95% CI, 1.72-4.03; P < .001).Conclusions and RelevanceThe findings suggest that increased WMH volume in AD is associated with neurodegeneration and parenchymal and vessel amyloidosis but not with elevated systemic vascular risk. Additionally, increased WMH volume may represent an early sign of vessel amyloidosis preceding the emergence of CMBs.
The Clinical Utility of Genetic Testing in the Diagnosis and Management of Adults with Chronic Kidney Disease
Dahl, Neera K. , Bloom, Michelle S. , Clark, Dinah, Westemeyer, Maggie , Jandeska, Sara , Zhang, Zhiji, Rasouly, Hila Milo , Kolupaeva, Victoria , Marasà, Maddalena , Broumand, Varshasb, Fatica, Richard , Raj, Dominic S. , Marshall, Kyle , Punj, Sumit , Tabriziani, Hossein , Bhorade, Sangeeta , Gharavi, Ali G. , Westemeyer, Maggie , Jandeska, Sara , Milo Rasouly, Hila , Kolupaeva, Victoria , Marasa, Maddalena , Demko, Zachary P , Punj, Sumit , Tabriziani, Hossein , Bhorade, Sangeeta , Dahl, Neera K , Bloom, Michelle S , Chebib, Fouad T.

Journal of the American Society of Nephrology | October 5, 2023 | Volume: 34 | Issue: 12 | Pages: 2039-2050

10.1681/asn.0000000000000249 | PMID 37794564 Get It

Significance Statement Accurate diagnosis of a patient's underlying cause of CKD can influence management and ultimately overall health. The single-arm, interventional, prospective Renasight Clinical Application, Review, and Evaluation study assessed the utility of genetic testing with a 385 gene kidney disease panel on the diagnosis and management of 1623 patients with CKD. Among 20.8% of patients who had positive genetic findings, half resulted in a new or reclassified diagnosis. In addition, a change in management because of genetic testing was reported for 90.7% of patients with positive findings, including treatment changes in 32.9%. These findings demonstrate that genetic testing has a significant effect on both CKD diagnosis and management. Background Genetic testing in CKD has recently been shown to have diagnostic utility with many predicted implications for clinical management, but its effect on management has not been prospectively evaluated. Methods Renasight Clinical Application, Review, and Evaluation RenaCARE (ClinicalTrials.gov NCT05846113) is a single-arm, interventional, prospective, multicenter study that evaluated the utility of genetic testing with a broad, 385 gene panel (the Renasight TM test) on the diagnosis and management of adult patients with CKD recruited from 31 US-based community and academic medical centers. Patient medical history and clinical CKD diagnosis were collected at enrollment. Physician responses to questionnaires regarding patient disease categorization and management were collected before genetic testing and 1 month after the return of test results. Changes in CKD diagnosis and management after genetic testing were assessed. Results Of 1623 patients with CKD in 13 predefined clinical disease categories (ages, 18–96; median, 55 years), 20.8% ( n =338) had positive genetic findings spanning 54 genes. Positive genetic findings provided a new diagnosis or reclassified a prior diagnosis in 48.8% of those patients. Physicians reported that genetic results altered the management of 90.7% of patients with a positive genetic finding, including changes in treatment plan, which were reported in 32.9% of these patients. Conclusions Genetic testing with a CKD-focused 385 gene panel substantially refined clinical diagnoses and had widespread implications for clinical management, including appropriate treatment strategies. These data support the utility of broader integration of panels of genetic tests into the clinical care paradigm for patients with CKD. Clinical Trial registry name and registration number ClinicalTrials.gov, NCT05846113.
Microglial over-pruning of synapses during development in autism-associated SCN2A-deficient mice and human cerebral organoids
Wu, Jiaxiang , Zhang, Jingliang , Que, Zhefu , Wettschurack, Kyle , Deming, Brody, Cui, Ningren , Zhao, Yuanrui, Halurkar, Manasi , Purba, Mandal, Chen, Ian , Xiao, Tiange , Suzuki, Matthew M., Chen, Fuxue , Wu, Long-Jun , Yang, Yang , Chen, Xiaoling , Acosta, Maria T. , Eaton, Muriel , Suzuki, Matthew, Yuan, Chongli , Xu, Ranjie , Koss, Wendy A. , Du, Dongshu , Wu, Long‐Jun

No container title available | September 28, 2023 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.21203/rs.3.rs-3270664/v1 | PMID 37841865 Get It

Abstract Autism spectrum disorder (ASD) is a major neurodevelopmental disorder affecting 1 in 36 children in the United States. While neurons have been the focus to understand ASD, an altered neuro-immune response in the brain may be closely associated with ASD, and a neuro-immune interaction could play a role in the disease progression. As the resident immune cells of the brain, microglia regulate brain development and homeostasis via core functions including phagocytosis of synapses. While ASD has been traditionally considered a polygenic disorder, recent large-scale human genetic studies have identified SCN2A deficiency as a leading monogenic cause of ASD and intellectual disability. We generated a Scn2a-deficient mouse model, which displays major behavioral and neuronal phenotypes. However, the role of microglia in this disease model is unknown. Here, we reported that Scn2a-deficient mice have impaired learning and memory, accompanied by reduced synaptic transmission and lower spine density in neurons of the hippocampus. Microglia in Scn2a-deficient mice are partially activated, exerting excessive phagocytic pruning of post-synapses related to the complement C3 cascades during selective developmental stages. The ablation of microglia using PLX3397 partially restores synaptic transmission and spine density. To extend our findings from rodents to human cells, we established a microglial-incorporated human cerebral organoid model carrying an SCN2A protein-truncating mutation identified in children with ASD. We found that human microglia display increased elimination of post-synapse in cerebral organoids carrying the SCN2A mutation. Our study establishes a key role of microglia in multi-species autism-associated models of SCN2A deficiency from mouse to human cells.
Long-term evaluation of clinical success and safety of omadacycline in nontuberculous mycobacteria infections: a retrospective, multicenter cohort of real-world health outcomes
Ghali, Amer El , Alosaimy, Sara , Lucas, Kristen , Tupayachi-Ortiz, Maria G., Vemula, Raaga, Wadle, Carly , Hamad, Yasir , Zeuli, John D. , Fiske, Christina T. , Simonyan, Anahit, Cimino, Christo , Mammadova, Mehriban, Umana, Virginia, Butt, Saira , Molina, Kyle C. , Thomas, Michael A. , Kaip, Emily A, Gore, Tristan, Howard, Catessa, Cabanilla, M. Gabriela , Frens, Jeremy J , Barger, Melissa, Ong, Aaron, Rybak, Michael J. , El Ghali, Amer , Webb, Andrew J, Rybak, Michael J , Morrisette, Taylor , Philley, Julie V. , Mejía-Chew, Carlos , Stevens, Ryan W. , Webb, Andrew , Hasbun, Rodrigo , Bouchard, Jeannette L. , Holger, Dana J. , Cohen, Keira A.

Antimicrobial Agents and Chemotherapy | September 28, 2023 | Volume: 67 | Issue: 10 | Pages: No page available

10.1128/aac.00824-23 | PMID 37768312 Get It

ABSTRACT Infections due to nontuberculous mycobacteria (NTM) continue to increase in prevalence, leading to problematic clinical outcomes. Omadacycline (OMC) is an aminomethylcycline antibiotic with FDA orphan drug and fast-track designations for pulmonary NTM infections, including Mycobacteroides abscessus (MAB). This multicenter retrospective study across 16 U.S. medical institutions from January 2020 to March 2023 examined the long-term clinical success, safety, and tolerability of OMC for NTM infections. The cohort included patients aged ≥18 yr, who were clinically evaluable, and` had been treated with OMC for ≥3 mo without a previous diagnosis of cystic fibrosis. The primary outcome was 3 mo clinical success, with secondary outcomes including clinical improvement and mortality at 6- and 12 mo, persistence or reemergence of infection, adverse effects, and reasons for OMC utilization. Seventy-five patients were included in this analysis. Most patients were female (48/75, 64.0%) or Caucasian (58/75, 77.3%), with a median (IQR) age of 59 yr (49–67). Most had NTM pulmonary disease (33/75, 44.0%), skin and soft tissue disease (19/75, 25.3%), or osteomyelitis (10/75, 13.3%), and Mycobacterium abscessus (60/75, 80%) was the most commonly isolated NTM pathogen. The median (IQR) treatment duration was 6 mo ( 4 – 14 ), and the most commonly co-administered antibiotic was azithromycin (33/70, 47.1%). Three-month clinical success was observed in 80.0% (60/75) of patients, and AEs attributable to OMC occurred in 32.0% (24/75) of patients, leading to drug discontinuation in 9.3% (7/75).
Episodic Cocaine Use as a Cause of Venous Thromboembolism and Acute Liver Injury
Patel, Khyati H., Thomas, Kyle C., Stacey, Stephen K , Thomas, Kyle

American Journal of Case Reports | September 19, 2023 | Volume: 24 | Issue: No issue available | Pages: No page available

10.12659/ajcr.941360 | PMID 37872733 Get It

BULK RNA-SEQ DECONVOLUTION OF IMAGE-LOCALIZED HIGGRADE GLIOMA BIOPSIES REVEALS MEANINGFUL CELLULAR STATES
Bond, Kamila M. , Vélez, Sebastián, Urcuyo, Javier , León, Gustavo De , Langworthy, Jazlynn , Sereduk, Christopher, Singleton, Kyle , Krishna, Chandan , Zimmerman, Richard S. , Patra, Devi P. , Smith, Kris A. , Donev, Kliment , Mrugała, Maciej M. , Hu, Leland , Canoll, Peter , Swanson, Kristin R. , Swanson, Kristin R , Curtin, Lee , Velez, Sebastian, Hawkins‐Daarud, Andrea , Leon, Gustavo De, Sereduk, Chris , Jackson, Pamela , Bendok, Bernard R. , Nakaji, Peter , Baxter, Leslie C. , Al‐Dalahmah, Osama , Tran, Nhan L.

Neuro-Oncology | September 16, 2023 | Volume: 25 | Issue: Supplement_3 | Pages: iii2-iii2

10.1093/neuonc/noad147.005 Get It

Abstract AIMS High-grade glioma continues to have dismal survival with current standard-of-care treatment, owing in part to its intra- and inter-patient heterogeneity. Typical diagnostic biopsies are taken from the dense tumor core to determine the presence of abnormal cells and the status of a few key genes (e.g. IDH1, MGMT). However, the tumor core is typically resected, leaving behind possibly genetically, transcriptomically and/or phenotypically distinct invasive margins that repopulate the disease. As these remaining populations are the ones ultimately being treated, it is important to know their compositional differences from the tumor core. We aim to identify the phenotypic niches defined by the relative composition of key cellular populations and understand their variation amongst patients. METHOD We have established an image-localized research biopsy study, that samples from both the invasive margin and tumor core. From this protocol, we currently have 202 samples from 58 patients with available bulk RNA-Seq, collected between Mayo Clinic and Barrow Neurological Institute. Using a single-cell reference dataset from our collaborators at Columbia University, we used CIBERSORTx, a deconvolution method, to predict relative abundances of 7 normal, 6 glioma, and 5 immune cell states for each sample. RESULTS We find that these cell state abundances connect to patient survival and show regional differences. For example, proneural glioma states were higher in invasive regions, whereas proliferative and mesenchymal states were higher in the tumor core. CONCLUSIONS Our analysis demonstrates a need to characterize the residual tissue following glioma resection to better understand the recurrent disease.
A Machine Learning Model Demonstrates Excellent Performance in Predicting Subscapularis Tears Based on Pre‐Operative Imaging Parameters Alone
Oeding, Jacob F. , Pareek, Ayoosh , Rhodes, Nicholas G. , Camp, Christopher L. , Martin, R. Kyle , Moatshe, Gilbert , Engebretsen, Lars , Sánchez‐Sotelo, Joaquín , Nieboer, Micah J, Tiegs-Heiden, Christin A, Sanchez-Sotelo, Joaquin, Sanchez-Sotelo, J. , Camp, Christopher L. , Moatshe, Gilbert , Oeding, Jacob F , Engebretsen, Lars , Nieboer, Micah J. , Tiegs‐Heiden, Christin A.

Arthroscopy | September 15, 2023 | Volume: 40 | Issue: 4 | Pages: 1044-1055

10.1016/j.arthro.2023.08.084 | PMID 37716627 Get It

Purpose To develop a machine learning model capable of identifying subscapularis tears before surgery based on imaging and physical examination findings. Methods Between 2010 and 2020, 202 consecutive shoulders underwent arthroscopic rotator cuff repair by a single surgeon. Patient demographics, physical examination findings (including range of motion, weakness with internal rotation, lift/push‐off test, belly press test, and bear hug test), and imaging (including direct and indirect signs of tearing, biceps status, fatty atrophy, cystic changes, and other similar findings) were included for model creation. Results Sixty percent of the shoulders had partial or full thickness tears of the subscapularis verified during surgery (83% of these were upper third). Using only preoperative imaging‐related parameters, the XGBoost model demonstrated excellent performance at predicting subscapularis tears (c‐statistic, 0.84; accuracy, 0.85; F1 score, 0.87). The top 5 features included direct signs related to the presence of tearing as evidenced on magnetic resonance imaging (MRI) (changes in tendon morphology and signal), as well as the quality of the MRI and biceps pathology. Conclusions In this study, machine learning was successful in predicting subscapularis tears by MRI alone in 85% of patients, and this accuracy did not decrease by isolating the model to the top features. The top five features included direct signs related to the presence of tearing as evidenced on MRI (changes in tendon morphology and signal), as well as the quality of the MRI and biceps pathology. Last, in advanced modeling, the addition of physical examination or patient characteristics did not make a significant difference in the predictive ability of this model. Level of Evidence Level III, diagnostic case‐control study.
International Consensus Statement on Allergy and Rhinology: Sinonasal Tumors
Adappa, Nithin D. , Beswick, Daniel M. , London, Nyall R. , Su, Shirley Y. , Wang, Marilene B. , Alexiev, Borislav A. , Antognoni, Paolo , Alonso‐Basanta, Michelle , Batra, Pete S., Bhayani, Mihir K. , Bell, Diana , Betz, Christian , Callejas, Claudio , Casiano, Roy R. , Chatzinakis, Vasileios , Chen, Simon , Chowdhury, Naweed I. , Citardi, Martin J. , Cohen, Marc A. , Dagan, Roi , Dalfino, Gianluca , Dassi, Camila , Almeida, John R. de , Tos, Angelo Paolo Dei , DelGaudio, John M. , Ebert, Charles S. , Eloy, Jean Anderson , Evans, James J., Fang, Christina H. , Farrell, Nyssa Fox , Ferrari, Marco , Fischbein, Nancy J. , Folbe, Adam J. , Fox, Meha G. , Lund, Valerie J. , Gallia, Gary L. , Gardner, Paul A. , Getz, Anne E., Govindaraj, Satish, Gray, Stacey T. , Gross, Bradley A. , Guo, Ruifeng , Ha, Patrick K. , Halderman, Ashleigh A. , Hanna, Ehab Y., Harvey, Richard J. , Hernandez, Stephen, Hopkins, Claire , Huang, Zhigang , Huang, Zhenxiao , Humphreys, Ian M. , Hwang, Peter H. , Iloreta, Alfred Marc, Ishii, Masaru , Jafari, Aria , Kennedy, David W. , Khan, Mohemmed, Kimple, Adam J. , Kingdom, Todd T. , Knisely, Anna, Kuo, Ying‐Ju , Lamarre, Eric , Lan, Ming‐Ying , Le, Hien , Lee, Nancy Y. , Lee, Jivianne K., Lee, Victor , Levine, Corinna G. , Lin, Jin‐Ching , Lin, Derrick T., Locke, Tran B. , Luong, Amber , Magliocca, Kelly R. , Matnjani, G., Meço, Cem , Michel, Loren S. , Na'ara, Shorook, Nicolai, Piero , Nuss, Daniel W. , Nyquist, Gurston , Oakley, Gretchen M. , Omura, Kazuhiro , Orlandi, Richard R. , Otori, Nobuyoshi , Papagiannopoulos, Peter , Patel, Zara M. , Pfister, David G. , Rabinowitz, Mindy, Sanusi, Olabisi , Sargi, Zoukaa , Schafhausen, Philippe, Schlosser, Rodney J. , Sedaghat, Ahmad R. , Senior, Brent A. , Shrivastava, Raj , Sindwani, Raj , Smith, Timothy L. , Smith, Kristine A. , Solares, C. Arturo , Stamm, Aldo Cassol , Stölzel, Katharina , Sumer, Baran D. , Tajudeen, Bobby A. , Thorp, Brian D. , Tsang, Raymond K. , VanKoevering, Kyle K. , Welch, Kevin C. , Wise, Sarah K. , Witterick, Ian , Won, Tae‐Bin , Wong, Stéphanie , Woodworth, Bradford A. , Wormald, Peter‐John , Zhou, Bing , Adappa, Nithin D. , Chapurin, Nikita , Ayoub, Noel , Bitner, Benjamin F. , Chang, Michael T. , Kuan, Edward C , Wang, Eric W , Beswick, Daniel , Wang, Marilene B , Alt, Jeremiah A , Bleier, Benjamin , Callejas, Claudio , Choby, Garret , Dalfino, Gianluca , Eloy, Jean Anderson , Fang, Christina H , Farrell, Nyssa F , Ferrari, Marco , Georgalas, Christos , Grayson, Jessica W , Harvey, Richard J , Holtzman, Adam L. , Hopkins, Claire , Humphreys, Ian M , Hwang, Peter H , Jafari, Aria , Kimple, Adam J , Lal, Devyani , Lan, Ming-Ying , Luong, Amber U , Meço, Cem , Omura, Kazuhiro , Orlandi, Richard , Patel, Zara , Sedaghat, Ahmad R , Senior, Brent A , Smith, Timothy L , Smith, Kristine , Snyderman, Carl H , Tong, Charles C L , van Zele, Thibaut , Won, Tae-Bin , Woodworth, Bradford A , Yao, William C , Yeh, Chien-Fu , Zhou, Bing , Schlosser, Rodney J , Bitner, Benjamin , Guo, Ruifeng , Chang, Michael T , Su, Shirley Y , Locke, Tran Bao , Adappa, Nithin D. , Abuzeid, Waleed M. , Alt, Jeremiah A. , Bernal‐Sprekelsen, Manuel , Blay, Jean‐Yves , Bleier, Benjamin S. , Bonilla‐Velez, Juliana , Carrau, Ricardo L. , Castelnuovo, Paolo , Chandra, Rakesh Kumar , Chiu, Alexander G. , Choby, Garret , Dallan, Iacopo , El‐Sayed, Ivan H. , Fokkens, Wytske Johanna , Geltzeiler, Mathew , Grayson, Jessica W. , Gross, Bradley , Grube, Jordon G. , Hanna, Ehab Y., Ivan, Michael E , Khan, Mohemmed N., Lal, Devyani , Lechner, Matt , Lobo, Brian C. , Markovic, Svetomir N. , McKean, Erin L. , Mendenhall, William M , Phan, Jack , Psaltis, Alkis J. , Ramanathan, Murugappan , Rimmer, Ryan , Rosen, Marc R , Sreenath, Satyan B , Šurda, Pavol , Thompson, Lester D.�R. , Turner, Justin H. , Turri‐Zanoni, Mario , Udager, Aaron M , Yao, William C.

International Forum of Allergy & Rhinology | September 2, 2023 | Volume: 14 | Issue: 2 | Pages: 149-608

10.1002/alr.23262 | PMID 37658764 Get It

Abstract Background Sinonasal neoplasms, whether benign and malignant, pose a significant challenge to clinicians and represent a model area for multidisciplinary collaboration in order to optimize patient care. The International Consensus Statement on Allergy and Rhinology: Sinonasal Tumors (ICSNT) aims to summarize the best available evidence and presents 48 thematic and histopathology‐based topics spanning the field. Methods In accordance with prior International Consensus Statement on Allergy and Rhinology documents, ICSNT assigned each topic as an Evidence‐Based Review with Recommendations, Evidence‐Based Review, and Literature Review based on the level of evidence. An international group of multidisciplinary author teams were assembled for the topic reviews using the Preferred Reporting Items for Systematic Reviews and Meta‐Analyses format, and completed sections underwent a thorough and iterative consensus‐building process. The final document underwent rigorous synthesis and review prior to publication. Results The ICSNT document consists of four major sections: general principles, benign neoplasms and lesions, malignant neoplasms, and quality of life and surveillance. It covers 48 conceptual and/or histopathology‐based topics relevant to sinonasal neoplasms and masses. Topics with a high level of evidence provided specific recommendations, while other areas summarized the current state of evidence. A final section highlights research opportunities and future directions, contributing to advancing knowledge and community intervention. Conclusion As an embodiment of the multidisciplinary and collaborative model of care in sinonasal neoplasms and masses, ICSNT was designed as a comprehensive, international, and multidisciplinary collaborative endeavor. Its primary objective is to summarize the existing evidence in the field of sinonasal neoplasms and masses.
Development of a rapid lateral flow assay for detection of anti-coccidioidal antibodies
Grill, Francisca J. , Svarovsky, Sergei, González‐Moa, María J., Kaleta, Erin, Blair, Janis E. , Lovato, Lydia , Grant, Richard, Ross, Kyle, Linnehan, Barbara K. , Meegan, Jenny, Reilly, Kenta S., Brown, Ashlyn, Magee, D. Mitchell, Lake, Douglas F. , Grys, Thomas E , Lake, Douglas F , Ross, Kyle, Williams, Stacy , Chung, Yunro , Grys, Thomas E.

Journal of Clinical Microbiology | September 1, 2023 | Volume: 61 | Issue: 9 | Pages: No page available

10.1128/jcm.00631-23 | PMID 37655868 Get It

ABSTRACTCoccidioidesspp. are dimorphic fungi that are capable of infecting human and non-human mammals and can cause diverse manifestations of coccidioidomycosis or Valley fever (VF). In combination with clinical symptoms and radiographic findings, antibody-based diagnostic tests are often used to diagnose and monitor patients with VF. Chitinase 1 (CTS1) has previously been identified as the seroreactive antigen used in these diagnostic assays to detect anticoccidial IgG. Here, an indirect enzyme-linked immunosorbent assay to detect IgG to CTS1 demonstrated 165 of 178 (92.7%) patients with a positive result by immunodiffusion (ID) and/or complement fixation (CF) had antibodies to the single antigen CTS1. We then developed a rapid antibody lateral flow assay (LFA) to detect anti-CTS1 antibodies. Out of 143 samples tested, the LFA showed 92.9% positive percent agreement [95% confidence interval (CI), 84.3%–96.9%] and 97.7% negative percent agreement (95% CI, 87.9%–99.6%) with ID and CF assays. Serum or plasma from canines, macaques, and dolphins was also tested by the CTS1 LFA. Test line densities of the CTS1 LFA correlated in a linear manner with the reported CF and ID titers for human and non-human samples, respectively. This 10-min point-of-care test for the rapid detection of anti-coccidioidal antibodies could help to inform healthcare providers in real-time, potentially improving the efficiency of healthcare delivery.
P921: ARTIFICIAL INTELLIGENCE BASED FDG PET/CT RADIOMICS FOR RISK STRATIFICATION IN NEWLY DIAGNOSED MULTIPLE MYELOMA
Shreve, Jacob , Warsame, Rahma , Pritchett, Josh, Kapoor, Prashant , Fonder, Amie , Hayman, Suzanne R. , Kyle, Robert A. , Kumar, Shaji , Charalampous, Charalampos , Buadi, Francis K. , Paludo, Jonas , Dingli, David , Shah, Meera , Leung, Nelson , Gertz, Morie A. , Broski, Stephen M. , Rajkumar, S. Vincent , Binder, Moritz

HemaSphere | August 22, 2023 | Volume: 7 | Issue: S3 | Pages: e156011e

10.1097/01.hs9.0000970588.15601.1e Get It