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212 citation(s) found for "Deng, J".

Extrachromosomal DNA Couples with ATM-mediated DNA Damage Response for Genome Instability in Tumors
Gan, Haiyun , Zhou, Jiaqi , Zhang, Yang , Hu, Suili, Deng, Zhiwen , Xu, Yajing, Chen, Jinyi , Yue, Zhen , Yao, Sitong , Tian, Congcong , Wen, Qing , Yan, Lixia , Depies, Olivia M , Liang, Xiao‐Huan , Liu, Xiangyu , Kang, Xing, Li, Xinran , Deng, Zhiwen, Wu, Yu-Chun , Wang, Nan , Chen, Liangming , Yue, Zhen, Yao, Yuan , Yang, Xinran , Tian, Congcong, Liang, Xiaoyan , Chan, Kui Ming , Dai, Junbiao , Wang, Zhiquan , Yu, Chuanhe , Li, Gang

Mayo Clinic

No container title available | January 23, 2024 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.21203/rs.3.rs-3708982/v1 Get It

Abstract Extrachromosomal DNA (ecDNA) drives the evolution of cancer cells by conferring survival advantages over normal cells. However, the functional importance of ecDNA replication and maintenance is yet to be evaluated, and the molecular components that contributed to these processes remain largely unknown. Here, using CRISPR-C (circularization of genes and chromosomes by CRISPR) technology and synthetic circular DNA mimicking ecDNA identified in tumors, we generated ecDNA-positive (ecDNA+) cell models. Using these models, we identified the proteins involved in ecDNA replication and maintenance and found DNA damage response (DDR)-related pathways were significantly enriched. We further demonstrated that ecDNA replication led to increased DDR and genome instability and DDR was also essential for ecDNA maintenance, consistent with observations that ecDNA+ tumors exhibited higher DDR scores than ecDNA-negative (ecDNA–) tumors in patients. ATM, MDC1, and CHK2, but not ATR, were activated in ecDNA+ cells compared to ecDNA– cells. Moreover, ecDNA+ cells were more sensitive to ATM and CHK2 inhibition. We further found that type II topoisomerase TOP2B and DNA ligase III (LIG3) were critical regulators for ecDNA replication and maintenance and related DDR. In summary, our findings of the reciprocal interactions between ecDNA and DDR provide new insights into detection and therapy for ecDNA+ tumors.
Longitudinal genetically detectable minimal residual disease by fluorescence in situ hybridization confers a poor prognosis in myeloma
Cui, Jian , Yu, Tengteng , Lv, Rui , Liu, Jiahui , Fan, Huishou , Xu, Jingyu , Du, Chenxing , Sui, Weiwei, Xu, Yan , Qiu, Lugui , An, Gang , Ho, Matthew , Cui, Jian , Yan, Wenqiang , Deng, Shuhui , Ho, Matthew , Anderson, Kenneth C. , Dong, Xifeng , Qiu, Lugui

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Therapeutic Advances in Medical Oncology | January 20, 2024 | Volume: 16 | Issue: No issue available | Pages: No page available

10.1177/17588359231221340 | PMID 38249329 Get It

Background: Deeper depth of response (DpR) after induction therapy, especially gain of negative minimal residual disease (MRD), has been linked to prolonged survival in multiple myeloma (MM). However, flow-MRD examination focuses on the numbers but not on the biological characteristics of residual plasma cells (PCs). Objectives: To explore whether the genetic features of residual tumor cells affect the survival time of patients with MM. Design: A retrospective cohort study. Methods: We investigated the clonality of cytogenetic abnormalities (CAs) of the residual PCs using interphase fluorescence in situ hybridization (iFISH) in the National Longitudinal Cohort of Hematological Diseases in China (NCT04645199). Here, a longitudinal cohort of 269 patients with patient-paired diagnostic and post-induction iFISH results was analyzed. Results: Persistent CAs after induction therapy were detected in about half of the patients (118/269, 43%), and patients with undetectable CAs showed significantly improved survival compared with those with genetically detectable MRD [median progression-free survival (mPFS): 59.7 versus 35.7 months, p < 0.001; median overall survival (mOS): 97.1 versus 68.8 months, p = 0.011]. In addition, different patterns of therapy-induced clonal evolution were observed by comparing the clonal structure of residual PCs with paired baseline samples. Patients who maintained at a high risk during follow-up had the worst survival (mPFS: 30.5 months; mOS: 54.4 months), while those who returned to lower risk or had iFISH− at both time points had the best survival (mPFS: 62.0 months, mOS: not reached). Conclusion: These findings highlighted the prognostic value of genetic testing in residual tumor cells, which may provide a deep understanding of clonal evolution and guide clinical therapeutic strategies.
Approval, Evidence, and “Off-Label” Device Utilization: The Patent Foramen Ovale Closure Story
Goldsweig, Andrew M. , Deng, Yihong , Yao, Xiaoxi , Desai, Nihar R. , Cohen, David J. , Aronow, Herbert D. , Messé, Steven R. , Ross, Joseph S. , Lansky, Alexandra J. , Savitz, Samuel T. , Cohen, David Jonathan , Goldsweig, Andrew M , Yao, Xiaoxi , Ross, Joseph S , Aronow, Herbert D , Deng, Yihong

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Circulation: Cardiovascular Quality and Outcomes | January 8, 2024 | Volume: 17 | Issue: 1 | Pages: No page available

10.1161/circoutcomes.123.010200 | PMID 38189127 Get It

BACKGROUND: Following regulatory approval, medical devices may be used “off-label.” Patent foramen ovale (PFO) closure is indicated to reduce recurrent stroke but has been proposed for other indications, including migraine, transient ischemic attack, and diving decompression illness. We sought to evaluate PFO closure rates and indications relative to the timing of regulatory approval and publication of key randomized trials. METHODS: We performed a retrospective cohort study using the OptumLabs Data Warehouse of US commercial insurance enrollees from 2006 to 2019. We quantified PFO closure among individuals with ≥2 years of preprocedure coverage to establish indications, classified hierarchically as stroke/systemic embolism, migraine, transient ischemia attack, or other. RESULTS: We identified 5315 patients undergoing PFO closure (51.8% female, 29.2%≥60 years old), which increased from 4.75 per 100 000 person-years in 2006 to 6.60 per 100 000 person-years in 2019. Patients aged ≥60 years accounted for 29.2% of closures. Procedure volumes corresponded weakly with supportive clinical publications and device approval. Among patients with PFO closure, 58.6% underwent closure for stroke/systemic embolism, 10.2% for transient ischemia attack, 8.8% for migraine, and 22.4% for other indications; 17.6% of patients had atrial fibrillation at baseline; and 11.9% developed atrial fibrillation postprocedure. Those aged ≥60 years and male were less likely to undergo closure for migraine than stroke/systemic embolism. CONCLUSIONS: From 2006 to 2019, PFO closure use was consistently low and corresponded weakly with clinical trial publications and regulatory status. Nearly half of patients underwent PFO closure for indications unapproved by the Food and Drug Administration. Regulators and payers should coordinate mechanisms to promote utilization for approved indications to ensure patient safety and should facilitate clinical trials for other possible indications.
Evaluating fluvoxamine for the outpatient treatment of COVID‐19: A systematic review and meta‐analysis
Deng, Jiawen , Moskalyk, Myron , Zuo, Qi , Garcia, Michael Cristian , Abbas, Umaima , Ramaraju, Harikrishnaa Ba , Rayner, Daniel , Park, Ye‐Jean , Heybati, Kiyan , Zhou, Fangwen , Lohit, Simran , Zuo, Qi Kang , Garcia, Cristian , Deng, J , Zhou, F

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Reviews in Medical Virology | December 27, 2023 | Volume: 34 | Issue: 1 | Pages: No page available

10.1002/rmv.2501 | PMID 38148036 Get It

AbstractThis systematic review and meta‐analysis of randomised controlled trials (RCTs) aimed to evaluate the efficacy, safety, and tolerability of fluvoxamine for the outpatient management of COVID‐19. We conducted this review in accordance with the PRISMA 2020 guidelines. Literature searches were conducted in MEDLINE, EMBASE, International Pharmaceutical Abstracts, CINAHL, Web of Science, and CENTRAL up to 14 September 2023. Outcomes included incidence of hospitalisation, healthcare utilization (emergency room visits and/or hospitalisation), mortality, supplemental oxygen and mechanical ventilation requirements, serious adverse events (SAEs) and non‐adherence. Fluvoxamine 100 mg twice a day was associated with reductions in the risk of hospitalisation (risk ratio [RR] 0.75, 95% confidence interval [CI] 0.58–0.97; I 2 = 0%) and reductions in the risk of healthcare utilization (RR 0.68, 95% CI 0.53–0.86; I 2 = 0%). While no increased SAEs were observed, fluvoxamine 100 mg twice a day was associated with higher treatment non‐adherence compared to placebo (RR 1.61, 95% CI 1.22–2.14; I 2 = 53%). In subgroup analyses, fluvoxamine reduced healthcare utilization in outpatients with BMI ≥30 kg/m2, but not in those with lower BMIs. While fluvoxamine offers potential benefits in reducing healthcare utilization, its efficacy may be most pronounced in high‐risk patient populations. The observed non‐adherence rates highlight the need for better patient education and counselling. Future investigations should reassess trial endpoints to include outcomes relating to post‐COVID sequelaes. Registration: This review was prospectively registered on PROSPERO (CRD42023463829).
Abstract 15584: Artificial Intelligence-Guided Screening for Atrial Fibrillation Detection Among Patients With Different Socioeconomic Status
Kalinoski-DuBose, Victoria , Deng, Yihong, Graff‐Radford, Jonathan , Yao, Xiaoxi , Noseworthy, Peter A. , Deng, Yihong , Attia, Zachi I. , López-Jiménez, Francisco , Gersh, Bernard J.

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Circulation | December 19, 2023 | Volume: 148 | Issue: Suppl_1 | Pages: No page available

10.1161/circ.148.suppl_1.15584 Get It

Introduction: Recently, an artificial intelligence (AI) algorithm was validated for identifying ECG signatures of atrial fibrillation (AF) risk during normal sinus rhythm. Traditionally, socioeconomically disadvantaged populations are less likely to receive novel or guideline-recommended treatments, and have high chronic disease burden, including cardiovascular diseases. There have also been concerns about new technologies creating a digital divide, worsening existing health disparities. Hypothesis: An AI algorithm will detect AF risk unequally across patients with different levels of social determinants of health (SDOH). Methods: The initial prospective, non-randomized, interventional study leveraged EHR and digital technologies to prospectively enroll 1004 patients with a broad range of AI-ECG risks of AF, who received continuous cardiac rhythm monitoring for up to 30 days. The Area Deprivation Index (ADI) was used as a composite measure of SDOH which is comprised of indicators spanning four domains: income, education, employment, and house quality. 904 intervention patients linked to the ADI data were matched to 904 real-world control patients derived from eligible but unenrolled patients. Those with ADI under 33% were defined as having better SODH; and patients with ADI above 33% were defined as having worse SODH. Results: Median age was 74 years and 38% were women. After matching, the intervention and control arms were balanced in all baseline characteristics, including HF, HTN, diabetes, stroke, CAD and ADI. A hazard ratio of 3.11 (P<0.001) was computed when comparing intervention to control for primary AF diagnosis outcome. In patients with worse SDOH, the intervention increased AF detection from 2.6% to 8.8% (HR 3.63 [2.09, 6.32]); in the better SDOH, the intervention increased AF detection from 3.9% to 9.3% (2.41 [1.23, 4.74]). Conclusions: An AI-guided AF screening program increased the detection of AF in both patients with better or worse SDOH. The current study validates the use of AI in historically disadvantaged populations displaying the possibility for broad implementation with decreased possibility of perpetuating disparities.
RE: Use of artificial intelligence for cancer clinical trial enrollment
Deng, Jiawen , Heybati, Kiyan , Deng, J

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JNCI: Journal of the National Cancer Institute | November 7, 2023 | Volume: 116 | Issue: 1 | Pages: 170-171

10.1093/jnci/djad228 | PMID 37934140 Get It

FAM91A1–TBC1D23 complex structure reveals human genetic variations susceptible for PCH
Zhao, Lin , Deng, Huaqing , Yang, Qin , Tang, Yingying , Zhang, Sitao , Yong, Xin, Li, Tianxing, Billadeau, Daniel D. , Yang, Qin , Billadeau, Daniel D , Jia, Da , Zhao, Jia , Li, Ping , Yong, Xin, Jia, Da

Mayo Clinic

Proceedings of the National Academy of Sciences | October 30, 2023 | Volume: 120 | Issue: 45 | Pages: No page available

10.1073/pnas.2309910120 | PMID 37903274 Get It

Pontocerebellar hypoplasia (PCH) is a group of rare neurodevelopmental disorders with limited diagnostic and therapeutic options. Mutations in WDR11, a subunit of the FAM91A1 complex, have been found in patients with PCH-like symptoms; however, definitive evidence that the mutations are causal is still lacking. Here, we show that depletion of FAM91A1 results in developmental defects in zebrafish similar to that of TBC1D23, an established PCH gene. FAM91A1 and TBC1D23 directly interact with each other and cooperate to regulate endosome-to-Golgi trafficking of KIAA0319L, a protein known to regulate axonal growth. Crystal structure of the FAM91A1–TBC1D23 complex reveals that TBC1D23 binds to a conserved surface on FAM91A1 by assuming a Z-shaped conformation. More importantly, the interaction between FAM91A1 and TBC1D23 can be used to predict the risk of certain TBC1D23-associated mutations to PCH. Collectively, our study provides a molecular basis for the interaction between TBC1D23 and FAM91A1 and suggests that disrupted endosomal trafficking underlies multiple PCH subtypes.
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.

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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 &amp;lt; .001]; HABS: t = −2.2 [P = .03]), greater in older individuals (DIAN: t = 6.8 [P &amp;lt; .001]; ADNI: t = 9.1 [P &amp;lt; .001]; HABS: t = 5.4 [P &amp;lt; .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 &amp;lt; .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.
Comparative effectiveness of second line glucose lowering drug treatments using real world data: emulation of a target trial
Deng, Yihong , Wallach, Joshua D. , Ross, Joseph S. , McCoy, Rozalina G. , Wallach, Joshua D , Ross, Joseph S , McCoy, Rozalina Grubina , Deng, Yihong , Polley, Eric C. , Herrin, Jeph

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BMJ Medicine | September 7, 2023 | Volume: 2 | Issue: 1 | Pages: e000419

10.1136/bmjmed-2022-000419 | PMID 37577025 Get It

Objective To build on the recently completed GRADE (Glycemia Reduction Approaches in Diabetes: A Comparative Effectiveness Study) randomised trial examining the comparative effectiveness of second line glucose lowering drugs in achieving and maintaining glycaemic control in adults with type 2 diabetes. Design Emulation of a target trial. Setting Medical and pharmacy claims data from the OptumLabs Data Warehouse, a de-identified US national dataset of beneficiaries of commercially insured and Medicare Advantage plans, 29 March 2013 to 30 June 2021. Participants Adults (≥18 years) with type 2 diabetes who first started taking glimepiride, sitagliptin, liraglutide, insulin glargine, or canagliflozin between 29 March 2013 and 30 June 2021. Participants were treatment naive or were receiving metformin monotherapy at the time of starting the study drug. Main outcome measures The main outcomes were time to primary and secondary metabolic failure of the assigned treatment, calculated as days to haemoglobin A1c levels of ≥7.0% and >7.5%, respectively. Secondary metabolic, cardiovascular, and microvascular outcomes were analysed as specified in the GRADE statistical analysis plan. Propensity scores were estimated with the gradient boosting method, and inverse propensity score weighting was used to emulate randomisation to the treatment groups, which were then compared with Cox proportional hazards regression. (Results The study cohort included participants starting treatment with glimepiride (n=20 511), liraglutide (n=5569), sitagliptin (n=13 039), insulin glargine (n=7262), and canagliflozin (n=5290). The insulin glargine arm was excluded because of insufficient control of confounding. Median times to primary metabolic failure were 439 (95% confidence interval 400 to 489) days in the canagliflozin arm, 439 (426 to 453) days in the glimepiride arm, 624 (567 to 731) days in the liraglutide arm, and 461 (442 to 482) days in the sitagliptin arm. Median time to secondary metabolic failure was also longest in the liraglutide arm. Adults receiving liraglutide had the lowest one year cumulative incidence rate of primary metabolic failure (0.37, 95% confidence interval 0.35 to 0.40) followed by sitagliptin (0.44, 0.43 to 0.45), glimepiride (0.45, 0.44 to 0.45), and canagliflozin (0.46, 0.44 to 0.48). Similarly, the one year cumulative incidence rate of secondary metabolic failure was 0.27 (0.25 to 0.29) in the canagliflozin arm, 0.28 (0.27 to 0.29) in the glimepiride arm, 0.23 (0.21 to 0.26) in the liraglutide arm, and 0.28 (0.27 to 0.29) in the sitagliptin arm. No differences were observed between the study arms in the rates of microvascular and macrovascular complications. Conclusions In this target trial emulation of an expanded GRADE study framework, liraglutide was more effective in achieving and maintaining glycaemic control as a second line glucose lowering drug than canagliflozin, sitagliptin, or glimepiride.