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2817 citation(s) found for "W, Liu".

Evaluating cell type deconvolution in FFPE breast tissue: application to benign breast disease
Liu, Yuanhang , Bhagwate, Aditya , Jons, William , McCauley, Bryan M. , Stephens, Melissa, Littlepage, Laurie E. , Cunningham, Julie M. , Jons, William A, Stallings-Mann, Melody L, Radisky, Derek C. , Cunningham, Julie M , Wang, Chen , Vierkant, Robert A. , Stallings‐Mann, Melody , Carter, Jodi M. , Pfrender, Michael E. , Degnim, Amy C. , Winham, Stacey J. , Wang, Chen

NAR Genomics and Bioinformatics | August 7, 2024 | Volume: 6 | Issue: 3 | Pages: No page available

10.1093/nargab/lqae098 | PMID 40162103 Get It

Abstract Transcriptome profiling using RNA sequencing (RNA-seq) of bulk formalin-fixed paraffin-embedded (FFPE) tissue blocks is a standard method in biomedical research. However, when used on tissues with diverse cell type compositions, it yields averaged gene expression profiles, complicating biomarker identification due to variations in cell proportions. To address the need for optimized strategies for defining individual cell type compositions from bulk FFPE samples, we constructed single-cell RNA-seq reference data for breast tissue and tested cell type deconvolution methods. Initial simulation experiments showed similar performances across multiple commonly used deconvolution methods. However, the introduction of FFPE artifacts significantly impacted their performances, with a root mean squared error (RMSE) ranging between 0.04 and 0.17. Scaden, a deep learning-based method, consistently outperformed the others, demonstrating robustness against FFPE artifacts. Testing these methods on our 62-sample RNA-seq benign breast disease cohort in which cell type composition was estimated using digital pathology approaches, we found that pre-filtering of the reference data enhanced the accuracy of most methods, realizing up to a 32% reduction in RMSE. To support further research efforts in this domain, we introduce SCdeconR, an R package designed for streamlined cell type deconvolution assessments and downstream analyses.
Enhancing Row-Column Array (RCA)-Based 3D Ultrasound Vascular Imaging With Spatial-Temporal Similarity Weighting
Zhang, Jingke , Huang, Chengwu , Dong, Zhijie , Liu, Hui , Song, Pengfei , Chen, Shigao , Song, Pengfei , Huang, Chengwu , Zhang, Jingke , Liu, Hui , Lok, U‐Wai , Gong, Ping

IEEE Transactions on Medical Imaging | August 6, 2024 | Volume: 44 | Issue: 1 | Pages: 297-309

10.1109/tmi.2024.3439615 | PMID 39106128 Get It

Enhancing Health Literacy: Evaluating the Readability of Patient Handouts Revised by ChatGPT's Large Language Model
Swisher, Austin R. , Wu, Arthur W. , Liu, Gene C., Lee, Matthew , Carle, Taylor R., Tang, Dennis M. , Wu, Arthur W , Swisher, Austin R , Liu, Gene C.

Otolaryngology–Head and Neck Surgery | August 6, 2024 | Volume: 171 | Issue: 6 | Pages: 1751-1757

10.1002/ohn.927 | PMID 39105460 Get It

Abstract Objective To use an artificial intelligence (AI)‐powered large language model (LLM) to improve readability of patient handouts. Study Design Review of online material modified by AI. Setting Academic center. Methods Five handout materials obtained from the American Rhinologic Society (ARS) and the American Academy of Facial Plastic and Reconstructive Surgery websites were assessed using validated readability metrics. The handouts were inputted into OpenAI's ChatGPT‐4 after prompting: “Rewrite the following at a 6th‐grade reading level.” The understandability and actionability of both native and LLM‐revised versions were evaluated using the Patient Education Materials Assessment Tool (PEMAT). Results were compared using Wilcoxon rank‐sum tests. Results The mean readability scores of the standard (ARS, American Academy of Facial Plastic and Reconstructive Surgery) materials corresponded to “difficult,” with reading categories ranging between high school and university grade levels. Conversely, the LLM‐revised handouts had an average seventh‐grade reading level. LLM‐revised handouts had better readability in nearly all metrics tested: Flesch‐Kincaid Reading Ease (70.8 vs 43.9; P < .05), Gunning Fog Score (10.2 vs 14.42; P < .05), Simple Measure of Gobbledygook (9.9 vs 13.1; P < .05), Coleman‐Liau (8.8 vs 12.6; P < .05), and Automated Readability Index (8.2 vs 10.7; P = .06). PEMAT scores were significantly higher in the LLM‐revised handouts for understandability (91 vs 74%; P < .05) with similar actionability (42 vs 34%; P = .15) when compared to the standard materials. Conclusion Patient‐facing handouts can be augmented by ChatGPT with simple prompting to tailor information with improved readability. This study demonstrates the utility of LLMs to aid in rewriting patient handouts and may serve as a tool to help optimize education materials. Level of Evidence Level VI.
A Contemporary Review of Blood Transfusion in Critically Ill Patients
Yadav, Sumeet K. , Hussein, Guleid , Liu, Bolun , Vojjala, Nikhil , Warsame, Mohamed , Labban, Mohamad El , Rauf, Ibtisam , Zareen, Tashfia, Zhang, Y , Jain, Shika M., Surani, Salim , Devulapally, Pavan , Bartlett, Brian, Khan, Syed Anjum , Jain, Nitesh , El Labban, Mohamad , Zhang, Yaqi , Surani, Salim , Devulapally, Pavan , Khan, Syed Anjum , Jain, Nitesh Kumar , Yadav, Sumeet Kumar , Liu, Bolun , Hassan, Mohamed Sayed , Usama, Syed Muhammad, Jain, Shika M

Medicina | July 31, 2024 | Volume: 60 | Issue: 8 | Pages: 1247

10.3390/medicina60081247 | PMID 39202529 Get It

Blood transfusion is a common therapeutic intervention in hospitalized patients. There are numerous indications for transfusion, including anemia and coagulopathy with deficiency of single or multiple coagulation components such as platelets or coagulation factors. Nevertheless, the practice of transfusion in critically ill patients has been controversial mainly due to a lack of evidence and the need to consider the appropriate clinical context for transfusion. Further, transfusion carries many risk factors that must be balanced with benefits. Therefore, transfusion practice in ICU patients has constantly evolved, and we endeavor to present a contemporary review of transfusion practices in this population guided by clinical trials and expert guidelines.
Impact of Non-Alcoholic Fatty Liver Disease on Sepsis Inpatient Outcomes: A Nationwide Sample Analysis(2000-2019)
Lyu, Xiuhong , Liu, Bolun , Miskovsky, John, Gaitanis, Melissa , Promrat, Kittichai , Wu, Wen‐Chih , Liu, Bolun , Li, Yiting , Wang, Yichen

No container title available | July 30, 2024 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.21203/rs.3.rs-4673966/v1 Get It

Abstract Background It was reported that patients with Non-Alcoholic Fatty Liver Disease (NAFLD) were at increased risk of contracting severe infections requiring hospitalization which could end up with sepsis. However, data regarding the impact of comorbid NAFLD on the in-hospital outcomes of sepsis admission is scarce. Methods This nationwide retrospective observational study included 21,057,911 adult patients who were admitted into hospitals in the United States between 2000 and 2019 with a primary discharge diagnosis of sepsis. These patients were categorized according to the presence or absence of comorbid NAFLD. The twenty-year trend of nationwide NAFLD prevalence among sepsis inpatients was elucidated. Multivariate logistic regression analysis was used to analyze NAFLD's impact on in-hospital outcomes of sepsis. Results In the twenty-year study period, the prevalence of NALFD among sepsis inpatients trended up from 1.2% in 2000 to 4.2 % in 2019. While sepsis mortality had trended down, comorbid NAFLD in sepsis patients was consistently associated with a higher adjusted in-hospital all-cause mortality rate (adjusted odds ratio (OR), 1.45; 95% confidence interval (CI), 1.42-1.48), higher odds of developing septic shock, and multi-organ dysfunctions (including cardiovascular-, renal-, and hepatic dysfunction). They were more likely to be discharged to another acute hospital. The length of stay of sepsis patients with NAFLD who died in the hospital was significantly shorter than those without NAFLD. Conclusions Comorbid NAFLD is associated with higher in-hospital all-cause mortality and worse clinical outcomes in sepsis inpatients. Addressing this rising epidemic will be of paramount importance to improve sepsis in-hospital outcomes.
A Longitudinal Elective Facilitates Point-of-Care Ultrasonography Education for Medical Students: An Observational Study
Crispell, Ethan H, Giesken, Max, O’Shea, Molly , Sischka, Michael, Liu, Larry, Weerasekare, Jonika, Gregoire, James R., Weerasekare, J. , Liu, Liang Yen , Crispell, Ethan, Nair, Malavika, O'Shea, Molly, Gregoire, James, Weerasekare, Jonika M , Crispell, Ethan H. , Nair, Malavika, Giesken, Max B.

Journal of Medical Education and Curricular Development | July 25, 2024 | Volume: 11 | Issue: No issue available | Pages: No page available

10.1177/23821205241260244 | PMID 39070285 Get It

OBJECTIVE Determine if a longitudinal point-of-care ultrasonography (POCUS) elective for medical students is effective in improving POCUS knowledge. METHODS We share the format of our longitudinal POCUS elective for medical students. To evaluate the efficacy of our longitudinal elective, we compare the difference between pre-elective and post-elective scores on a POCUS test using a paired t-test with threshold of statistical significance of p ≤ .05. We also share the results of a post-elective survey evaluating the effectiveness and quality of the longitudinal POCUS elective. RESULTS Pretest mean score was 56.3% (σ = 13.6), while posttest mean score was 73.3% (σ = 9.4), with an average score improvement of 17.0% (95% CI 9.9-24.0%, p < .0001). All students strongly or moderately agreed that they would recommend the elective to future medical students, that they were more confident with their POCUS skills after completing the elective, that the time commitment of the elective was appropriate, and that they felt they had the time to fit the elective into their schedule as a medical school student. Most students (56.7%) strongly or moderately agreed that the knowledge gained from the POCUS elective had helped them in their clinical rotations. CONCLUSIONS Our longitudinal POCUS curriculum subjectively and objectively improves medical students’ POCUS knowledge while remaining accessible to students. We share our unique longitudinal POCUS elective curriculum, the format of which and its benefits are transferable to other medical schools. Through this, we hope to provide others with ideas on how they may implement a longitudinal POCUS elective.
Ubiquitin-Proteasome System in the Different Stages of Dominantly Inherited Alzheimer’s Disease
McDade, Eric , Hassenstab, Jason , Gordon, Brian A. , Benzinger, Tammie L.S. , Shen, Yuanyuan , Wang, Lihua , Sung, Yun Ju , Daniels, Alisha , Xiong, Chengjie , Perrin, Richard J. , Day, Gregory S. , Chhatwal, Jasmeer P. , Huey, Edward D. , Ryan, Natalie S. , Laske, Christoph , Xiong, Chengjie , Roh, Jee Hoon , Lopera, Francisco , Morris, John C. , Gordon, Brian A , Benzinger, Tammie L S , Sung, Yun Ju , Karch, Celeste M , Renton, Alan , Day, Gregory S , Chhatwal, Jasmeer , Ikeuchi, T , Kasuga, Kensaku , Schofield, Peter R , Brooks, William , Xiong, Chengjie , Roh, Jee Hoon , Bateman, Randall J , Cruchaga, Carlos , Hassenstab, Jason , McDade, Eric M , Morris, John C , Liu, Haiyan , Bui, Quoc Van Phu , Timsina, Jigyasha , Karch, Celeste M. , Morris, John M. , Ibanez, Laura , Llibre‐Guerra, Jorge J. , Supnet, Charlene , Xu, Xiong, Berman, Sarah , Ikeuchi, Takeshi , Niimi, Yoshiki , Schofield, Peter R. , Brooks, William S. , Jucker, Mathias , Vöglein, Jonathan , Lopera, Francisco Javier , Bateman, Randall J.

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

10.21203/rs.3.rs-4202125/v1 | PMID 39108475 Get It

Abstract This study explored the role of the ubiquitin-proteasome system (UPS) in dominantly inherited Alzheimer’s disease (DIAD) by examining changes in cerebrospinal fluid (CSF) levels of UPS proteins along with disease progression, AD imaging biomarkers (PiB PET, tau PET), neurodegeneration imaging measures (MRI, FDG PET), and Clinical Dementia Rating® (CDR®). Using the SOMAscan assay, we detected subtle increases in specific ubiquitin enzymes associated with proteostasis in mutation carriers (MCs) up to two decades before the estimated symptom onset. This was followed by more pronounced elevations of UPS-activating enzymes, including E2 and E3 proteins, and ubiquitin-related modifiers. Our findings also demonstrated consistent correlations between UPS proteins and CSF biomarkers such as Aβ42/40 ratio, total tau, various phosphorylated tau species to total tau ratios (ptau181/T181, ptauT205/T205, ptauS202/S202, ptauT217/T217), and MTBR-tau243, alongside Neurofilament light chain (NfL) and the CDR®. Notably, a positive association was observed with imaging markers (PiB PET, tau PET) and a negative correlation with markers of neurodegeneration (FDG PET, MRI), highlighting a significant link between UPS dysregulation and neurodegenerative processes. The correlations suggest that the increase in multiple UPS proteins with rising tau levels and tau-tangle associated markers, indicating a potential role for the UPS in relation to misfolded tau/neurofibrillary tangles (NFTs) and symptom onset. These findings indicate that elevated CSF UPS proteins in DIAD MCs could serve as early indicators of disease progression and suggest a link between UPS dysregulation and amyloid plaque, tau tangles formation, implicating the UPS as a potential therapeutic target in AD pathogenesis.
Risankizumab for Ulcerative Colitis
Louis, Edouard, Panaccione, Remo, Biedermann, Luc , Colombel, Jean–Frédéric, D’Haens, Geert , Hisamatsu, Tadakazu , Siegmund, Britta , Boland, Brigid S. , Melmed, Gil , Armuzzi, Alessandro , Levine, Phillip, Kalabic, Jasmina , Cheng, Ling, Shu, Lei , Duan, W. Rachel, Pivorunas, Valerie , González, Yuri Sánchez , D’Cunha, Ronilda , Neimark, Ezequiel, Wallace, Kori, Ferrante, Marc , Group, INSPIRE and COMMAND Study, Balderramo, Domingo , Goncalves, Silvina A., Lasa, Juan, Novillo, Abel, Ruffinengo, Orlando, Heeren, Sonja, Reinisch, Walter , Baert, Filip , Colard, A, Ferrante, Marc, Franchimont, Denis , Rahier, Jean‐François , Francesconi, Carlos Fernando de Magalhães , Stanchev, Desislav , Atkinson, Kenneth, Beaton, Melanie, Greenbloom, Susan, Lachance, Jean-Rene, Lim, Allen, Samson, Jean-Michel, Shulman, Scott, Siffledeen, Jesse, Alfaro, Ignacio , Valenzuela, Carlos , Walsen, Gustavo, An, Ping , Cao, Qian , Chen, Yan , Gao, Xiang , Hou, Xiaohua , Hu, Naizhong, Liu, Mei , Lungen, LU, Ran, Zhihua, Tang, Tongyu , Yang, Shaoqi , Zhan, Qiang , Zhang, Guoxin , Zhang, Xiaolan , Zhong, Jie , Zou, Xiaoping, Álvarez, Eligio, Ricaurte, Juan, Borzan, Vladimir , Puljiz, Željko , Svoboda, Pavel , Ulbrych, Jan, Vaňásek, Tomáš , Ali, Ezzat, Salem, Osama , Sawah, Hisham, Altwegg, Romain , Flamant, Mathurin, Hébuterne, Xavier , Deppe, Herbert, Klaus, Jochen , Kucharzik, Torsten , Mertens, Jessica, Mroß, Michael, Reindl, Wolfgang , Schiefke, Ingolf, Schreiber, Stefan, Sturm, Andreas , Bamias, Georgios, Manolakopoulos, Spilios , Mantzaris, Gerassimos J. , Tzouvala, Maria , Viazis, N. , Avni‐Biron, Irit , Goldin, Eran , Katz, Lior H. , Lahat-Zok, Adi, Segal, Arik, Colecchia, Antonio , Cosintino, R. , Geccherle, Andrea, Monteleone, Giovanni , Privitera, Antonino Carlo , Vangeli, Marcello, Abe, Yasuhiko , Aoyama, Nobuo , Endo, Yutaka , Esaki, Motohiro, Fujii, Toshimitsu , Fukuda, Katsuyuki , Hirai, Fumihito , Hisanaga, Yasuhiro, Horiki, Noriyuki , Iguchi, Mikitaka , Ishiguro, Yoh , Ito, Hiroaki , Kamikozuru, Koji , Kato, Jun , Kawanishi, Teruki, Kobayashi, Taku , Kuge, Hiroyuki , Masuda, Tomoyuki, Matsuoka, Katsuyoshi , Matsushima, Kayoko , Matsushima, Masashi, Motoya, Satoshi , Nakai, Katsuhiko, Nakajima, Koichi, Nakamura, Masanao, Nishida, Atsushi , Nishikawa, Takahiro , Nishimata, Nobuaki, Ochiai, Toshiaki, Ohmiya, Naoki , Ohnishi, Yoshifumi , Oka, Shiro , Ozeki, Keiji , Saito, Daisuke, Saruta, Masayuki, Sasaki, Makoto, Shimizu, Masahito , Sujino, Tomohisa , Takatori, Hajime , Takatsu, Noritaka , Tokito, Satoki, Endo, Toshiyuki, Toyokawa, Tatsuya , Uenoyama, Yoshito , Yamamoto, Takatsugu, Yasuda, Hiroshi , Yokoyama, Kaoru , Jonaitis, Laimas, Kazėnaitė, Edita, Te, Lourdes Lol-be Pinzon, Lutgens, Maurice, Brooker, James, Griffiths, Ben, Inns, Stephen , Schultz, Michael, Eszyk, Jerzy, Kleczkowski, D, Kopoń, Adam, Petryka, Robert, Romańczyk, Tomasz , Rydzewska-Wyszkowska, Grażyna , Sikorski, Piotr, Talarek, Michał, Ministro, Paula , Tavares, Helena, Diculescu, Mihai-Mircea, Goldiș, Adrian , Agafina, Alina, Edin, Anton, Gerasimova, Evgenia, Gettueva, Maryana, Кашников, В. Н. , Pirmagomedov, Albert , Rafalskiy, Vladimir , Шарапова, К. М., Varganova, Daria L , Grgov, Saša, Svorcan, Petar , Tarabar, Dino, Ling, Khoon Lin , Baláž, Jozef, Ďurina, J, Greguš, Miloš, Laclav, Martin , Deetlefs, Eduan, Peter, Jonny , Rajabally, Muhammad, Rosa, Jennifer, Zyl, JI van, Wright, John , Jang, Byung Ik , Kang, Sang-Bum, Kim, Duk-Hwan , Kim, Tae Oh , Kim, Young-Ho , Song, Geun Am , Laria, Luisa Castro, Piudo, Ana Echarri, Ramirez, Vincent Hernandez, Martín‐Arranz, María Dolores , Trastoy, Pilar Varela, Mendoza, M Vera, Lördal, Mikael, Chang, Chung-Hsin, Kuo, Chia-Jung , Lin, Ching‐Pin , Tu, Chia–Hung, Erzın, Yusuf , Soykan, İrfan , Kravchenko, Tetiana , Tsarynna, Nataliia, Vyshyvanyuk, Vira , Cummings, Fraser , Kapur, Kapil , Kaser, Arthur , Kent, Alexandra , Parkes, Gareth, Patel, Kamal , Steel, Alan , Aberra, Faten , Aguilar, Humberto , Al‐Bawardy, Badr , Barnes, Matthew D., Beck, Kendall , Berkelhammer, Charles , Bullock, Jeff, Chiplunker, Adeeti , Dalal, Robin, Dalal, Sushila , Delgado, Belkis, DiGiovanna, Michael P., Duvall, George, Freedland, Curtis, Friedenberg, Keith, Gaidos, Jill , Ginsburg, Philip, Hassanein, Tarek , Higgins, Peter , Hou, Jason K. , Huilgol, Vivek, Inamdar, Nikhil, Kapur, Saurabh, Kerman, David H., Levine, Henry, Lodhia, Nilesh, Mayoral, Jaime L., McNeil, Donald, Mushahwar, Andria M., Ojeas, Harry, Patel, Bhaktasharan, Phillips, Raymond E. , Pouzar, Joe, Sarles, H, Schock, Joel, Sedghi, Shahriar , Shah, Nirav V. , Stokesberry, David, Su, Le‐Chu, Verma, Dharmendra, Weber, John T. , Younes, Ziad , Zisman, Timothy L. , Melmed, Gil Y , Kobayashi, Taku , Siegmund, Britta , Schreiber, Stefan , Bossuyt, Peter , Parkes, Gareth, Peyrin‐Biroulet, Laurent , Wu, Kaichun , Chen, Su , Atreya, Raja Narayana , Loftus, Edward V. , Group, INSPIRE and COMMAND Study, Reinisch, Walter , Dewit, Olivier , Franchimont, Denis , Kaiser, Roberto Luiz , Parra, Rogério Serafim , Sassaki, Lígia Yukie , Пенчев, Пламен , Bessissow, Talat , Lachance, Jean-René, Panaccione, Remo , Walsen, Gustavo, Chen, Youxiang , Li, Yan , Liu, Fei , Wang, Xin , Zhan, Qiang, Zhang, Hu , Zhang, Jie , Ricaurte, Juan, Krznarić, Željko , Bortlík, Martin , Svoboda, Pavel, Kjeldsen, Jens , Munck, Lars Kristian , Poulsen, Anja, Waked, Imam A. , Fumery, Mathurin , Laharie, David , Roblin, Xavier , Tréton, Xavier , Deppe, Herbert, Hasselblatt, Peter , Kandulski, Arne , Krause, Thomas , Naumann, Axel, Schreiber, Stefan , Schubert, Stefan, Κoutroubakis, Ioannis E. , Ardizzone, Sandro , Cicala, Michele , Gasbarrini, Antonio , Giannini, Edoardo Giovanni , Gionchetti, Paolo , Luzza, Francesco , Saibeni, Simone , Abe, Yasuhiko, Asonuma, Kunio , Hisanaga, Yasuhiro, Ishigami, Keisuke, Kakuta, Yoichi , Maemoto, Atsuo , Nakajima, Koichi, Nishida, Atsushi, Sasaki, Makoto, Sugimoto, Ken , Suzuki, Takayoshi , Takedatsu, Hidetoshi , Takeuchi, Ken, Tanaka, Hiroki , Tokito, Satoki, Yamamoto, Takayuki , Derovs, Aleksejs , Puķītis, Aldis , Jonaitis, Laimas Virginijus , Gearry, Richard B. , Griffiths, Ben, Kierkuś, Jarosław , Reguła, Jarosław , Cerqueira, Rute Maria , Goncalves, Tiago, Lopes, Susana , Portela, Francisco , Seicean, Andrada , Gerasimova, Evgenia, Sharapova, Ksenia, Smolyarchuk, Е. А. , Jovanović, Igor , Balaz, Jozef, Drobne, David , Wright, John, Cheon, Jae Hee , Kim, Jee Hyun , Lee, Jong Hun , Lee, Kang‐Moon , Park, Dong Il , Argüelles‐Arias, Federico , Piudo, Ana Echarri, García‐López, Santiago , Ramirez, V Hernández, Misselwitz, Benjamin , Chou, Jen‐Wei , Tu, Chia‐Hung , Alkım, Hüseyin , Kravchenko, Tetiana, Ahmad, Tariq, Parkes, Gareth, Speight, Richard, Ananthakrishnan, Ashwin N. , Barnes, Matthew, Bullock, Jeff, DiGiovanna, Michael, Hong, John D. , Huilgol, V.R., Phillips, Raymond, Siddiqui, Junaid, Swaminath, Arun C. , Weber, John, Matsuoka, K

JAMA | July 22, 2024 | Volume: 332 | Issue: 11 | Pages: 881

10.1001/jama.2024.12414 | PMID 39037800 Get It

Importance The clinical effects of risankizumab (a monoclonal antibody that selectively targets the p19 subunit of IL-23) for the treatment of ulcerative colitis are unknown. Objective To evaluate the efficacy and safety of risankizumab when administered as an induction and a maintenance therapy for patients with ulcerative colitis. Design, Setting, and Participants Two phase 3 randomized clinical trials were conducted. The induction trial was conducted at 261 clinical centers (in 41 countries) and enrolled 977 patients from November 5, 2020, to August 4, 2022 (final follow-up on May 16, 2023). The maintenance trial was conducted at 238 clinical centers (in 37 countries) and enrolled 754 patients from August 28, 2018, to March 30, 2022 (final follow-up on April 11, 2023). Eligible patients had moderately to severely active ulcerative colitis; a history of intolerance or inadequate response to 1 or more conventional therapies, advanced therapies, or both types of therapies; and no prior exposure to risankizumab. Interventions For the induction trial, patients were randomized 2:1 to receive 1200 mg of risankizumab or placebo administered intravenously at weeks 0, 4, and 8. For the maintenance trial, patients with a clinical response (determined using the adapted Mayo score) after intravenous treatment with risankizumab were randomized 1:1:1 to receive subcutaneous treatment with 180 mg or 360 mg of risankizumab or placebo (no longer receiving risankizumab) every 8 weeks for 52 weeks. Main Outcomes and Measures The primary outcome was clinical remission (stool frequency score ≤1 and not greater than baseline, rectal bleeding score of 0, and endoscopic subscore ≤1 without friability) at week 12 for the induction trial and at week 52 for the maintenance trial. Results Among the 975 patients analyzed in the induction trial (aged 42.1 [SD, 13.8] years; 586/973 [60.1%] were male; and 677 [69.6%] were White), the clinical remission rates at week 12 were 132/650 (20.3%) for 1200 mg of risankizumab and 20/325 (6.2%) for placebo (adjusted between-group difference, 14.0% [95% CI, 10.0%-18.0%], P &amp;lt; .001). Among the 548 patients analyzed in the maintenance trial (aged 40.9 [SD, 14.0] years; 313 [57.1%] were male; and 407 [74.3%] were White), the clinical remission rates at week 52 were 72/179 (40.2%) for 180 mg of risankizumab, 70/186 (37.6%) for 360 mg of risankizumab, and 46/183 (25.1%) for placebo (adjusted between-group difference for 180 mg of risankizumab vs placebo, 16.3% [97.5% CI, 6.1%-26.6%], P &amp;lt; .001; adjusted between-group difference for 360 mg of risankizumab vs placebo, 14.2% [97.5% CI, 4.0%-24.5%], P = .002). No new safety risks were detected in the treatment groups. Conclusion and Relevance Compared with placebo, risankizumab improved clinical remission rates in an induction trial and in a maintenance trial for patients with moderately to severely active ulcerative colitis. Further study is needed to identify benefits beyond the 52-week follow-up. Trial Registration ClinicalTrials.gov Identifiers: NCT03398148 and NCT03398135
Epigenetic heterogeneity hotspots in human liver disease progression
Hlady, Ryan A. , Zhao, Xia , Khoury, Louis Y. El , Wagner, Ryan T. , Luna, Aesis , Pham, Kien , Pyrosopoulos, Nikolaos T., Jain, Dhanpat , Wang, Liguo , Robertson, Keith D. , Liu, Chen , Robertson, Keith D , Wang, Liguo , El Khoury, Louis Y , Liu, Chen

Hepatology | July 19, 2024 | Volume: 81 | Issue: 4 | Pages: 1197-1210

10.1097/hep.0000000000001023 | PMID 39028883 Get It

Background and Aims: Disruption of the epigenome is a hallmark of human disease, including liver cirrhosis and HCC. While genetic heterogeneity is an established effector of pathologic phenotypes, epigenetic heterogeneity is less well understood. Environmental exposures alter the liver-specific DNA methylation landscape and influence the onset of liver cancer. Given that currently available treatments are unable to target frequently mutated genes in HCC, there is an unmet need for novel therapeutics to prevent or reverse liver damage leading to hepatic tumorigenesis, which the epigenome may provide. Approach and Results: We performed genome-wide profiling of DNA methylation, copy number, and gene expression from multiple liver regions from 31 patients with liver disease to examine their crosstalk and define the individual and combinatorial contributions of these processes to liver disease progression. We identified epigenetic heterogeneity hotspots that are conserved across patients. Elevated epigenetic heterogeneity is associated with increased gene expression heterogeneity. Cirrhotic regions comprise 2 distinct cohorts—one exclusively epigenetic, and the other where epigenetic and copy number variations collaborate. Epigenetic heterogeneity hotspots are enriched for genes central to liver function (eg, HNF1A) and known tumor suppressors (eg, RASSF1A). These hotspots encompass genes including ACSL1, ACSL5, MAT1A, and ELFN1, which have phenotypic effects in functional screens, supporting their relevance to hepatocarcinogenesis. Moreover, epigenetic heterogeneity hotspots are linked to clinical measures of outcome. Conclusions: Substantial epigenetic heterogeneity arises early in liver disease development, targeting key pathways in the progression and initiation of both cirrhosis and HCC. Integration of epigenetic and transcriptional heterogeneity unveils putative epigenetic regulators of hepatocarcinogenesis.