Citations

Mayo Clinic

Clear

846 citation(s) found for "Russell, C F J".

Early Stages of Automated Insulin Delivery
Zisser, Howard , Hovorka, Roman , Basu, Ananda , Battelino, Tadej , Boughton, Charlotte K. , Breton, Marc D. , Buckingham, Bruce A. , Brown, Sue A. , Cherñavvsky, Daniel R. , Dassau, Eyal , Ekhlaspour, Laya , Forlenza, Gregory P. , Haidar, Ahmad , Klonoff, David C. , Kovatchev, Boris , Kowalski, Aaron J. , Kudva, Yogish C., Maahs, David M. , Phillip, Moshe , Russell, Steven J. , Steil, Garry M. , Weinzimer, Stuart A. , Doyle, Francis J , Ekhlaspour, Laya , Fabris, Chiara , Forlenza, Gregory P , Klonoff, David C , Kovatchev, Boris , Levy, Carol J , Maahs, David M , Phillip, Moshe , Renard, Eric , Russell, Steven J , Shah, Viral N , Wadwa, R Paul , Battelino, Tadej , Hovorka, Roman , Buckingham, Bruce , DeBoer, Mark Daniel , Doyle, Francis J. , Levy, Carol J. , Kudva, Yogish C. , Shah, Viral N.

Diabetes Technology & Therapeutics | July 1, 2025 | Volume: 27 | Issue: 3_suppl | Pages: No page available

10.1089/dia.2025.18802.hz | PMID 40590745 Get It

The development of automated insulin delivery systems has seen tremendous improvements from individual components to interoperable system combinations of devices and new drugs besides insulin. The components have become progressively smaller, more accurate, and more user friendly. This article summarizes the history of the artificial pancreas from the earliest concepts to fully functional systems to research into further improvements in the future. The authors include many of the developers of this technology who received research support from the National Institute of Diabetes and Digestive and Kidney Diseases at various stages to develop these systems.
Early Stages of Automated Insulin Delivery
Zisser, Howard , Hovorka, Roman , Basu, Ananda , Battelino, Tadej , Boughton, Charlotte K. , Breton, Marc D. , Buckingham, Bruce A. , Brown, Sue A. , Cherñavvsky, Daniel R. , Dassau, Eyal , Ekhlaspour, Laya , Forlenza, Gregory P. , Haidar, Ahmad , Klonoff, David C. , Kovatchev, Boris , Kowalski, Aaron J. , Kudva, Yogish C. , Maahs, David M. , Phillip, Moshe , Russell, Steven J. , Steil, Garry M. , Weinzimer, Stuart A. , Doyle, Francis J , Ekhlaspour, Laya , Fabris, Chiara , Forlenza, Gregory P , Klonoff, David C , Kovatchev, Boris , Levy, Carol J , Maahs, David M , Phillip, Moshe , Renard, Eric , Russell, Steven J , Shah, Viral N , Wadwa, R Paul , Battelino, Tadej , Hovorka, Roman , Buckingham, Bruce , DeBoer, Mark Daniel , Doyle, Francis J. , Levy, Carol J. , Shah, Viral N.

Journal of Diabetes Science and Technology | July 1, 2025 | Volume: 19 | Issue: 4 | Pages: 908-923

10.1177/19322968251335685 | PMID 40590463 Get It

The development of automated insulin delivery systems has seen tremendous improvements from individual components to interoperable system combinations of devices and new drugs besides insulin. The components have become progressively smaller, more accurate, and more user friendly. This article summarizes the history of the artificial pancreas from the earliest concepts to fully functional systems to research into further improvements in the future. The authors include many of the developers of this technology who received research support from the National Institute of Diabetes and Digestive and Kidney Diseases at various stages to develop these systems.
COVID-19 and Cognitive Change in a Community-Based Cohort
Pike, James Russell , Sun, Yifei , Wu, Christina , Suchy‐Dicey, Astrid M. , Elkind, Mitchell S.V., Kucharska‐Newton, Anna , Levine, Deb, Lutsey, Pamela L. , Mosley, Thomas H. , Palta, Priya, Coresh, Josef, Oelsner, Elizabeth C. , Lutsey, Pamela L , Pike, James R , Oelsner, Elizabeth C , Kucharska-Newton, Anna M , Demmer, Ryan T. , Cornelius, Talea M. , Kraal, A. Zarina , Balte, Pallavi , Wu, Chaoqi, Allen, Norrina B. , Cushman, Mary , Howard, Virginia J. , Manly, Jennifer J. , Power, Melinda C. , Seshadri, Sudha , Tracy, Russell P. , Walker, Keenan A.

JAMA Network Open | June 30, 2025 | Volume: 8 | Issue: 6 | Pages: e2518648

10.1001/jamanetworkopen.2025.18648 | PMID 40587126 Get It

Importance SARS-CoV-2 infection has been linked to neurotoxic effects and cognitive deficits. Objective To determine whether decreases in cognitive function were accelerated after SARS-CoV-2 infection compared with individuals not infected. Design, Setting, and Participants Multicenter, prospective cohort study from 2016 to 2022 among 3525 participants alive on March 1, 2020, and enrolled in The Atherosclerosis Risk in Communities (ARIC) study and the Collaborative Cohort of Cohorts for COVID-19 Research study who completed a prepandemic cognitive assessment and a pandemic-era assessment of SARS-CoV-2 infection. Final analyses performed in November 2024. Exposure SARS-CoV-2 infection determined via self-report of a positive SARS-CoV-2 test or health care professional diagnosis of COVID-19, a positive SARS-CoV-2 antinucleocapsid antibody response, or presence of an administrative code for COVID-19 on medical records. Main outcomes and measures A neuropsychological battery assessed multiple cognitive domains, and a cocalibrated confirmatory factor analysis generated factor scores for global cognitive function. The primary outcome was the rate of excess change in cognitive function. Results The 3525 eligible participants had a mean (SD) age of 80.8 (4.7) years, 2085 (59.1%) were female, 752 (21.4%) were Black, and 2773 (78.6%) were White. SARS-CoV-2 infection was detected among 307 participants (8.7%), 103 of whom (33.6%) were hospitalized. Among uninfected participants, the mean annualized change in cognitive function was −0.09 (95% CI, −0.13 to −0.04). Compared with this rate, change was faster (β = −0.06; 95% CI, −0.09 to −0.02) among participants hospitalized for infection, but not different from participants who were infected but not hospitalized (β = 0.00; 95% CI, −0.02 to 0.03). The association among participants hospitalized for infection was evident in the cognitive domains of memory and executive function, but not language. Conclusions and relevance This cohort study of older participants found accelerated decreases in cognition among individuals hospitalized for SARS-CoV-2 infection, but not nonhospitalized infection, in comparison with individuals not yet infected.
BraTS-PEDs: Results of the Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge 2023
Kazerooni, Anahita Fathi , Khalili, Nastaran, Liu, Xinyang , Jiang, Zhifan , Pavaine, Julija , Jones, Blaise V. , Sheth, Nakul , McAllister, Aaron S. , Tu, Wenxin , Rodriguez, Andres Fernandez, Shaikh, Ibraheem S , Sanchez-Montano, Mariana , Lai, Hollie Anne , Adewole, Maruf , Albrecht, Jake, Anazodo, Udunna, Anwar, Syed Muhammed, Aristizábal, Alejandro , Baid, Ujjwal , Bergquist, Timothy , Conte, Gian-Marco, Eddy, James A. , Ezhov, Ivan , Gandhi, Deep , Gottipati, Anurag , Haldar, Shuvanjan, Janas, Anastasia , Elaine, Elaine, Karargyris, Alexandros , Kassem, Hasan, Khalili, Neda , Maleki, Nazanin , Meier, Zeke, Saluja, Rachit , Sheller, Micah , Shinohara, Russell Takeshi, Viswanathan, Karthik , Wang, Chunhao , Storm, Phillip B. , Packer, Roger, Hummel, Trent R. , Hoffman, Lindsey M. , Nabavizadeh, Ali , Ware, Jeffrey B., Rood, Brian , Resnick, Adam J., Linguraru, Marius George , Khalili, Nastaran, Haldar, Debanjan , Zapaishchykova, Anna , Shah, Lubdha M. , Prabhu, Sanjay P. , Nandolia, Khanak , Anderson, Hannah, Bagheri, Sina , Borja, Austin J. , Calabrese, Evan , Chung, Verena , Familiar, Ariana , Farahani, Keyvan , Iglesias, Juan Eugenio , Kofler, Florian , LaBella, Dominic , Leemput, Koen Van , Li, Hongwei , Meier, Zeke, Menze, Bjoern H. , Moawad, Ahmed W. , Pati, Sarthak , Piraud, Marie , Poussaint, Tina Young , Reitman, Zachary J. , Rudie, Jeffrey D. , Shinohara, Russell Taki , Wiestler, Benedikt , Wiggins, Walter F. , Davatzikos, Christos , Bornhorst, Miriam , Blank, Peter M K de , Aboian, Mariam , Kann, Benjamin H. , Bakas, Spyridon , Vossough, Arastoo

Machine Learning for Biomedical Imaging | June 26, 2025 | Volume: 3 | Issue: June 2025 | Pages: 72-87

10.59275/j.melba.2025-f6fg Get It

Pediatric central nervous system tumors are the leading cause of cancer-related deaths in children. The five-year survival rate for high-grade glioma in children is less than 20%. The development of new treatments is dependent upon multi-institutional collaborative clinical trials requiring reproducible and accurate centralized response assessment. We present the results of the BraTS-PEDs 2023 challenge, the first Brain Tumor Segmentation (BraTS) challenge focused on pediatric brain tumors. This challenge utilized data acquired from multiple international consortia dedicated to pediatric neuro-oncology and clinical trials. BraTS-PEDs 2023 aimed to evaluate volumetric segmentation algorithms for pediatric brain gliomas from magnetic resonance imaging using standardized quantitative performance evaluation metrics employed across the BraTS 2023 challenges. The top-performing AI approaches for pediatric tumor analysis included ensembles of nnU-Net and Swin UNETR, Auto3DSeg, or nnU-Net with a self-supervised framework. The BraTS-PEDs 2023 challenge fostered collaboration between clinicians (neuro-oncologists, neuroradiologists) and AI/imaging scientists, promoting faster data sharing and the development of automated volumetric analysis techniques. These advancements could significantly benefit clinical trials and improve the care of children with brain tumors.
The Brain Tumor Segmentation (BraTS-METS) Challenge 2023: Brain Metastasis Segmentation on Pre-treatment MRI
Janas, Anastasia , Baid, Ujjwal , Ramakrishnan, Divya , Saluja, Rachit , Ashraf, Nader, Maleki, Nazanin , Yordanov, Nikolay , Fehringer, Pascal, Gkampenis, Athanasios , Amiruddin, Raisa, Adewole, Maruf , Albrecht, Jake, Anazodo, Udunna, Anwar, Syed Muhammad, Bergquist, Timothy , Chiang, Veronica , Eddy, J. Mark , Ezhov, Ivan , Khalili, Nastaran, Jiang, Zhifan , Johanson, Elaine, Kazerooni, Anahita Fathi , Krantchev, Kiril, Linguraru, Marius George , Liu, Xinyang , Meier, Zeke, Moy, Harrison, Osenberg, Klara , Reitman, Zachary, Shinohara, Russell Takeshi, Wang, Chunhao , Shafique, Umber, Willms, Klara, Avesta, Arman , Bousabarah, Khaled , Chakrabarty, Satrajit , Gennaro, Nicolò , Holler, Wolfgang, Lost, Jan , Marcus, Daniel S. , Maresca, R, Merkaj, Sarah, Pedersen, Gabriel Cassinelli, Reppert, Marc von , Teytelboym, Oleg M., Tillmans, Niklas, Westerhoff, Malte , Youssef, Ayda , Pflüger, Irada, Perez-Carillo, Gloria J. Guzman, Memon, Fatima, Krycia, Mark, Patro, Satya Narayana , Petrović, Bojan , Schrickel, E. Brooke, Besada, Cristina , Chu, Sammy, Dusoi, Alexandru, Farage, Luciano , Fong, Amy, Gray, R. Ian, Krumpelman, Chase, Lincoln, Christie M. , Maros, Máté E. , Morón, Fanny , Nimchinsky, Esther A. , Patel, Uresh, Rohatgi, Saurabh , Sayah, Anousheh , Schwartz, Eric D. , Shiroishi, Mark S. , Valerie, Jewels, White, Matthew L. , Zohrabian, Vahe M. , Brüßeler, Melanie, Ghonim, Mohamed, Okar, Abdullah , Pasquini, L. , Soumala, Theodora, Taherzadeh, Mahsa , Vollmuth, Philipp, Foltyn, Martha , Abayazeed, Aly, Dellepiane, Francesco , Verdier, Maria Correia de , Al-Rubaiey, Sanaria, Ashraf, Kholod, Asla, Moamen M., Badawy, Mohamed , Lomer, Nima Broomand , Bukatz, Jan, Chen, Jim, Cimflová, Petra , Corr, Felix, Crawley, Alexis, Deptula, Lisa, Elakhdar, Tasneem, Shawali, Islam H., Frick, Alexandra, Haider, Muhammad Ammar , Hierro, Fátima , Jacobs, Sarah Maria, Hsieh, Kuang-chun Jim, Kersting, Katharina , Kida, Laura, Kollia, Sofia , Koukoulithras, Ioannis, Li, Xiao , Abouelatta, Ahmed, Mansour, Aya, Maria-Zamfirescu, Ruxandra-Catrinel, Marsiglia, Marcela , Mateo-Camacho, Yohana Sarahi , McArthur, Mark J., McDonnell, Olivia, McHugh, M, Moassefi, Mana , Morsi, Samah Mostafa, Munteanu, Alexander , Naqvi, Syed Raza, Nikanpour, Yalda , Alnoury, Mostafa , Nouh, Abdullah Mohamed Aly, Pappafava, Francesca, Patel, Markand D., Petrucci, S. , Rawie, Eric, Raymond, Scott B. , Roohani, Borna, Sabouhi, Sadeq, Sánchez‐García, Laura , Shaked, Zoe , Altes, Talissa A. , Isufi, Edvin , Dhemesh, Yaseen , Gass, Jaime, Thacker, Jonathan, Tarabishy, Abdul , Turner, Benjamin , Worede, Fikadu , Yousry, Sara, Lerebo, Wondwossen , Aristizábal, Alejandro , Karargyris, Alexandros , Kassem, Hasan , Sheller, Micah , Link, Katherine E. , Moawad, Ahmed W. , Ashraf, Nader, Jekel, Leon , Manteghinejad, Amirreza , Aneja, Sanjay , Anwar, Syed Muhammad, Chung, Verena , Conte, Gian Marco , Dako, Farouk , Eddy, James, Khalili, Nastaran, Farahani, Keyvan , Iglesias, Juan Eugenio , Kofler, Florian , LaBella, Dominic , Leemput, Koen Van , Li, Hongwei , Meier, Zeke, Menze, Bjoern H. , Piraud, Marie , Shinohara, Russell Taki , Wiestler, Benedikt , Wiggins, Walter F. , Kaur, Manpreet , LaMontagne, Pamela , Lin, MingDe , Maresca, Ryan, Petersen, Gabriel Cassinelli , Sotiras, Aristeidis , Godfrey, Devon , Floyd, Scott , Rauschecker, Andreas M. , Villanueva-Meyer, Javier E. , Cho, Jaeyoung , Bendszus, Martin , Brugnara, Gianluca , Cramer, Justin , Johnson, Derek R. , Kam, Anthony , Kwan, Benjamin Y. M. , Lai, Lillian M. , Lall, Neil , So, Tiffany Y. , Thompson, Gerard , Wu, Lei , Bansal, Anu , Barkhof, Frederik , Druzgal, T. Jason , Feltrin, Fabrício Stewan , Fung, Steve H. , Ikuta, Ichiro , Iv, Michael , Postma, Alida A. , Mahajan, Amit Kumar , Joyner, David , Létourneau‐Guillon, Laurent , Miller, Elka , Özsarlak, Ö. , Saha, Atin , Shih, Robert , Small, Juan E. , Tanwar, Manoj , Weinberg, Brent D. , Young, Robert J. , Azizova, Aynur , Ghonim, Mohanad , Ghonim, Mohamed, Sharifi, Yasaman , Singh, Gagandeep, Sollmann, Nico , Vollmuth, Philipp, Foltyn‐Dumitru, Martha , Malhotra, Ajay , Lohmann, Philipp , Pérez‐García, Víctor M. , Elhalawani, Hesham M. , Duarte Armindo, Rui , Asla, Moamen M., Bisschop, Jeroen , Faghani, Shahriar , Gulati, Vaibhav , Dahl, Rasmus Holmboe , McArthur, Mark, McHugh, Maire, Moassefi, Mana , Nandolia, Khanak , Petrucci, Samantha, Sanchez-Garcia, Laura M., Suthar, Pokhraj Prakashchandra , Vacca, Sebastiano , Vilanilam, George K. , Warren, Daniel, Weiss, David, Pati, Sarthak , Calabrese, Evan , Tahon, Nourel Hoda , Nada, Ayman , Velichko, Yury , Bakas, Spyridon , Rudie, Jeffrey D. , Aboian, Mariam

Machine Learning for Biomedical Imaging | June 26, 2025 | Volume: 3 | Issue: December 2025 | Pages: 204-247

10.59275/j.melba.2025-9bd3 Get It

The translation of AI-generated brain metastases (BM) segmentation into clinical practice relies heavily on diverse, high-quality annotated medical imaging datasets. The BraTS-METS 2023 challenge has gained momentum for testing and benchmarking algorithms using rigorously annotated internationally compiled real-world datasets. This study presents the results of the segmentation challenge and characterizes the challenging cases that impacted the performance of the winning algorithms. Untreated brain metastases on standard anatomic MRI sequences (T1, T2, FLAIR, T1PG) from eight contributed international datasets were annotated in stepwise method: published UNET algorithms, student, neuroradiologist, final approver neuroradiologist. Segmentations were ranked based on lesion-wise Dice and Hausdorff distance (HD95) scores. False positives (FP) and false negatives (FN) were rigorously penalized, receiving a score of 0 for Dice and a fixed penalty of 374 for HD95. The mean scores for the teams were calculated. Eight datasets comprising 1303 studies were annotated, with 402 studies (3076 lesions) released on Synapse as publicly available datasets to challenge competitors. Additionally, 31 studies (139 lesions) were held out for validation, and 59 studies (218 lesions) were used for testing. Segmentation accuracy was measured as rank across subjects, with the winning team achieving a LesionWise mean score of 7.9. The Dice score for the winning team was 0.65 ± 0.25. Common errors among the leading teams included false negatives for small lesions and misregistration of masks in space. The Dice scores and lesion detection rates of all algorithms diminished with decreasing tumor size, particularly for tumors smaller than 100 mm3. In conclusion, algorithms for BM segmentation require further refinement to balance high sensitivity in lesion detection with the minimization of false positives and negatives. The BraTS-METS 2023 challenge successfully curated well- annotated, diverse datasets and identified common errors, facilitating the translation of BM segmentation across varied environments and providing the tools for future development of personalized volumetric reports to patients undergoing BM treatment.
Long-Term Follow-Up of E3311, an ECOG-ACRIN Cancer Research Group Phase II Trial of Transoral Surgery and Risk-Based Adjuvant Treatment in Human Papillomavirus–Initiated Oropharynx Cancer
Flamand, Yael , Quon, Harry , Weinstein, Gregory S., Mehra, Ranee , Garcia, Joaquin J., Kim, Seungwon , O’Malley, Bert W. , Özer, Enver , Ikpeazu, Chukwuemeka , Koch, Wayne M. , Lango, Miriam N. , Smith, Russell K., Karakla, Daniel W., Richmon, Jeremy D. , Burtness, Barbara , Flamand, Yael , Quon, Harry , Mehra, Ranee , Ikpeazu, Chukwuemeka , Gross, Neil D , Bell, R Bryan , Lango, Miriam , Morris, Luc G T , Holsinger, F Chris , Ferris, Robert L , Richmon, Jeremy D , Burtness, Barbara , Garcia, Joaquin J., Bell, R. Bryan , Patel, Mihir R , Holsinger, F. Christopher , Ferris, Robert L.

Journal of Clinical Oncology | June 10, 2025 | Volume: 43 | Issue: 23 | Pages: 2559-2565

10.1200/jco-24-02550 | PMID 40493877 Get It

This phase II trial of transoral surgery (TOS) with deintensified postoperative management in human papillomavirus (HPV)–associated oropharynx cancer (OPC) enrolled patients with resectable cT1-2 stage III/IV American Joint Committee on Cancer (AJCC) seventh edition p16+ OPC without matted neck nodes. Those with clear margins, 0-1 + nodes (LN), and no extranodal extension (ENE) were observed (arm A); those with clear margins, 2-4 + LN, or ENE ≤1 mm were randomly assigned to 50 Gy (arm B) or 60 Gy (arm C); and those with involved margins, >4 + LN, or >1 mm ENE received weekly cisplatin and 60-66 Gy (arm D). Among 359 evaluable patients, the 54-month progression-free (PFS) and overall survival (OS) were 90.6% (90% CI, 87.2% to 93.1%) and 95.3% (93.0% to 96.9%), respectively. The 54-month PFS by arm was A 93.2% (79.6% to 97.8%; all four recurrences among N1 patients), B 94.9% (89.7% to 97.5%), C 90.2% (82.7% to 94.6%), and D 85.5% (77.5% to 90.8%). The 54-month OS by arm was A 97.1% (85.7% to 99.4%), B 97.9% (93.5% to 99.3%), C 95.1% (90.1% to 97.6%), and D 92.5% (86.9% to 95.7%). PFS or OS did not differ by primary site or smoking history. TOS and neck dissection with deintensified postoperative management results in outstanding 54-month PFS and OS. Among patients with favorable pathologic characteristics, those with N1 disease are at risk of late recurrence without radiation.
Contribution of Modifiable Midlife and Late-Life Vascular Risk Factors to Incident Dementia
Pike, James Russell , Lutsey, Pamela L. , Palta, Priya , Windham, B. Gwen , Bandeen‐Roche, Karen , Coresh, Josef, Sharrett, A. Richey , Gross, Alden L. , Lutsey, Pamela L , Pike, James R , Smith, Jason R. , Gottesman, Rebecca F. , Knopman, David S. , Selvin, Elizabeth , Szklo, Moysés , Deal, Jennifer A.

JAMA Neurology | June 2, 2025 | Volume: 82 | Issue: 7 | Pages: 644

10.1001/jamaneurol.2025.1495 | PMID 40455489 Get It

ImportanceMidlife vascular risk factors are associated with an elevated risk of dementia. However, the total contribution of vascular risk factors in midlife and late life with incident dementia is uncertain.ObjectiveTo quantify the proportion of incident dementia attributable to modifiable vascular risk factors measured in midlife and late life and to examine differences by apolipoprotein ε4 genotype, self-reported race, and sex.Design, Setting, and ParticipantsThis was a prospective cohort analysis of the Atherosclerosis Risk in Communities (ARIC) study using 33 years of follow-up (1987-2020). The setting included ARIC field centers (Jackson, Mississippi; Forsyth County, North Carolina; Minneapolis suburbs, Minnesota; Washington County, Maryland). Study baseline in Black and White participants with complete exposure and covariate data was set by age at risk factor measurement (45-54 years, 55-64 years, and 65-74 years). Data were analyzed from August 2023 to December 2024.ExposuresHypertension (systolic blood pressure [BP] ≥130 mm Hg, diastolic BP ≥80 mm Hg, or use of medication for BP), diabetes (fasting glucose ≥126 mg/dL, nonfasting glucose ≥200 mg/dL, self-reported physician’s diagnosis, or use of any diabetes medication), and current smoking (self-reported).Main Outcomes and MeasuresIncident dementia. Population attributable fractions were estimated by age 80 years, and separately after 80 years, from having at least 1 vascular risk factor by age at risk factor measurement.ResultsA total of 7731 participants were included in analysis of risk factors measured at age 45 to 54 years (4494 female [58%]; 2207 Black [29%]; 5524 White [71%]), 12 274 contributed to analysis of risk factors measured at age 55 to 64 years (6698 female [55%]; 2886 Black [24%]; 9388 White [76%]), and 6787 contributed to analysis of risk factors measured at age 65 to 74 years (3764 female [56%], 1375 Black [20%]; 5412 White [80%]). There were 801, 995, and 422 dementia cases by 80 years, respectively. The fraction of dementia by 80 years attributable to at least 1 vascular factor at age 45 to 54 years was 21.8% (95% CI, 14.3%-29.3%), at 55 to 64 years was 26.4% (95% CI, 19.1%-33.6%), and at 65 to 74 years was 44.0% (95% CI, 30.9%-57.2%). Attributable fractions for these factors were higher in apolipoprotein ε4 noncarriers at age 55 years and older (range, 33.3%-61.4%), Black individuals at age 45 years and older (range, 25.5%-52.9%), and female individuals at age 55 years and older (range, 29.2%-51.3%). Only 2% to 8% of dementia cases after 80 years were attributable to these factors.Conclusions and RelevanceResults of this cohort study suggest that between 22% and 44% of incident dementia cases by 80 years in the ARIC study were attributed to midlife and late-life vascular risk factors. Assuming causal relationships, maintaining optimal vascular health across the life course could mitigate a sizeable proportion of dementia risk by 80 years.
A first-in-human multi-center phase 1/2 study of a selective FGFR2/3 inhibitor, CGT4859, in patients with intrahepatic cholangiocarcinomas or other advanced solid tumors.
Ellis, Haley , Ahnert, Jordi Rodon, Starodub, Alexander, Ali, Akza, Moynihan, Kevin, Little, Meredith, Zou, Liangxing, Lawrence, Julia, Vogel, Arndt, Vogel, Arndt , Vogel, Arndt , Goyal, Lipika , Borad, Mitesh J. , Kim, Richard D. , Ahnert, Jordi Rodon, Valle, Juan W. , Bridgewater, John , Russell, Jeffery Scott , Ali, Akza

Journal of Clinical Oncology | May 28, 2025 | Volume: 43 | Issue: 16_suppl | Pages: No page available

10.1200/jco.2025.43.16_suppl.tps3171 Get It

TPS3171 Background: Genetic alterations in fibroblast growth factor receptors 2 and 3 ( FGFR2/3 ) occur in nearly all cancer types. FGFR2 fusions and rearrangements occur in up to 10-15% of intrahepatic cholangiocarcinomas (iCCA) and alterations in FGFR3 occur in 15-30% of urothelial cancers. The clinical benefit from currently approved FGFR inhibitors (FGFRi) is often curtailed by development of acquired resistance, which may arise through on-target mutations in the FGFR2/3 kinase domain. Additionally, off-tumor effects on FGFR1 by pan-FGFRi can lead to hyperphosphatemia and consequently to dose reductions or dose holds. Thus, there is an unmet clinical need for a selective FGFR2/3 inhibitor that has clinical efficacy against activating alterations and resistance mutations without causing FGFR1-mediated hyperphosphatemia. CGT4859 is an orally bioavailable, ATP-competitive, reversible inhibitor of FGFR2/3, with potency against clinically relevant FGFR2/3 kinase domain mutations. In addition, CGT4859 demonstrates >140 fold selectivity over FGFR1, and shows robust efficacy in target altered in vivo tumor models without increases in serum phosphorus. Nonclinical pharmacokinetics (PK) and safety data support evaluating CGT4859 in a first-in-human, open-label, dose-escalation and signal-seeking Phase I/II study (NCT06777316). Safety, tolerability, PK, pharmacodynamics, and antitumor activity of CGT4859 will be assessed in adults with histologically confirmed unresectable or metastatic iCCA or other solid tumors with FGFR2/3 alterations. Methods: CGT4859 will be administered orally continuously in 28-day cycles to patients (N=~50) at a starting dose of 1 mg QD, and dose escalation will not exceed 40 mg QD as determined using a Bayesian optimal interval design with backfill (BF-BOIN). This approach will be used to guide dose escalation and establish the maximum tolerated dose (MTD) and recommended Phase 2 Dose (RP2D). BF-BOIN enables backfilling of participants to doses that are cleared for safety during the dose escalation, generating additional data on safety and tolerability below the MTD. Objective response rate (ORR) and disease control rate will be determined based on investigator assessment using RECIST v1.1. Phase II will enroll up to 4 cohorts, each enrolling ~15 patients. Proposed cohorts will include participants who have iCCA and are either FGFRi-naïve or FGFRi-exposed. Two additional cohorts with other advanced solid tumors harboring FGFR2/3 alterations may be included based on signals detected in dose escalation. The primary efficacy endpoint for Phase II is ORR per RECIST v1.1. The preclinical data support the study of CGT4859 in this patient population with solid tumors harboring FGFR2 and/or FGFR3 genetic alterations. The phase I dose escalation study is currently enrolling at sites in the United States. Clinical trial information: NCT06777316 .
Differences in Airway Epithelial Gene Expression in Resilient vs Non-resilient Smokers
Oh, Anna , Niederhuber, Matthew J. , Jones, Corbin D. , Brennan, Tara A., Currin, Kevin W., Kennedy, Sarah , Christenson, S., Bon, Jessica , Comellas, Alejandro P. , Cooper, C.B., Hansel, N.N., Kaner, R.J. , Marchetti, Nathaniel , Onofrei, C.D., Ortega, Victor E. , Paine, Robert , Woodruff, P., Investigators, SPIROMICS, Christenson, Stephanie A. , Comellas, Alejandro P , Christenson, Stephanie A , Oh, A., Liu, Heng , Kennedy, S., Couper, David , Barjaktarević, Igor , Barr, R. Graham , Bowler, Russell P. , Cooper, C.B. , Han, Mingyuan , Krishnan, Jerry A , Martínez, Fernando J. , Wells, J. Michael

American Journal of Respiratory and Critical Care Medicine | May 11, 2025 | Volume: 211 | Issue: Supplement_1 | Pages: A7375-A7375

10.1164/ajrccm.2025.211.abstracts.a7375 Get It

Abstract Introduction Resilient smokers, who maintain respiratory health despite smoking, remain poorly characterized. Airway epithelial cell gene expression in resilient smokers can provide insight into mechanisms and pathways that may protect smokers from developing smoking-related lung disease. The objective of this study is to identify genes and potential pathways associated with lung-related resilience. Methods Resilient smokers were defined based on a previously published multi-dimensional definition which includes the absence of: 1) spirometric airflow limitation, 2) symptoms (cough/sputum, dyspnea), 3) radiographic (HRCT) abnormalities, 4) exacerbations, and 5) an accelerated FEV1 decline. “Non-resilient” smokers had preserved spirometry but showed abnormalities in at least one domain of resilience. We analyzed airway epithelial brush samples from 21 resilient and 34 non-resilient smokers from SPIROMICS. Differential gene expression was performed using DESeq2 package in R, which estimates differential expression using generalized linear models. We adjusted for sequencing batch, age (continuous), race, gender, and current smoking status. While controlling for these covariates we evaluated differential gene expression between resilient and non-resilient smokers, the interaction between resilience and smoking status, and in each sub-category of resilient (absence of symptoms, radiographic abnormalities, exacerbations, and accelerated decline in FEV1). Results We identified 98 genes that were differentially expressed (FDR ≤0.1) when comparing resilient to non-resilient smokers, 20 of those genes were up regulated in resilient smokers (Figure 1). Notable genes included cadherin-12 (CDH12), aspartate beta-hydroxylase (ASPH), and protein kinase AMP-activated alpha 2 (PRKAA2). CDH12 is involved in cell adhesion and epithelial integrity. ASPH influences cell adhesion and signaling. PRKAA2 plays role in cellular homeostasis and stress response, which may be altered in non-resilient smokers, affecting cellular metabolism and inflammation. BPI folding containing family A member (BPIFA1) was significantly associated with smoking status in the interaction analysis, suggesting its role in modulating the impact of smoking on resilience. BPIFA1 has anti-microbial properties, regulates immune responses, and contributes mucosal surface protection. Sub-category analysis identified 17 genes associated with resilience to symptoms and 2 genes related to physiologic resilience (FEV1 decline), though no significant genes were associated with radiographic or exacerbation resilience. Conclusion Differential gene expression of airway epithelial cells identified distinct expression patterns between resilient and non-resilient smokers. Specifically, genes associated with epithelial cell adhesion, signaling, and cellular homeostasis were up regulated in resilient smokers. These findings suggest that resilient smokers may have transcriptomic profiles and potential mechanisms that mitigate the effects of cigarette smoke.
Associations of Prepandemic Chronic Kidney Disease Stages With Severe COVID-19 Incidence: The C4R Study
Choi, Yuni , Reiner, Alex P. , Sun, Yifei , Lash, James P., Umans, Jason G. , Oelsner, Elizabeth C. , Oelsner, Elizabeth C , Jacobs, David R. , Kramer, Holly , Coresh, Josef , Cushman, Mary , Demmer, Ryan T. , Tracy, Russell P. , Balte, Pallavi , Raffield, Laura M. , Min, Yuan‐I , Vasan, Ramachandran S. , Xanthakis, Vanessa , Regan, Elizabeth Anne , Kanaya, Alka M , Lash, James P.

American Journal of Respiratory and Critical Care Medicine | May 11, 2025 | Volume: 211 | Issue: Supplement_1 | Pages: A6330-A6330

10.1164/ajrccm.2025.211.abstracts.a6330 Get It

Abstract RATIONALE: Chronic kidney disease (CKD) is common in the general population and is associated with inflammation and compromised immune function. Since these mechanisms are hypothesized to promote severe COVID-19, we tested associations of pre-pandemic CKD with incident COVID-19 hospitalization or death in a large, multi-ethnic, US general population-based meta-cohort of adults. METHODS: Data were harmonized and pooled from 9 NIH-funded longitudinal cohorts participating in the Collaborative Cohort of Cohorts for COVID-19 Research (C4R). CKD was classified by KDIGO 2024 CKD guideline (Low Risk, Moderately Increased Risk, High Risk, Very High Risk) using pre-pandemic urinary albumin-to-creatinine ratio (uACR) and estimated glomerular filtration rate using creatinine (eGFRcr). Incident COVID-19 hospitalization or death was ascertained over 2020−2023 via self-report and active surveillance, with medical record adjudication in a subset. In our primary analysis, we assessed associations between CKD stages and incident COVID-19 hospitalization or death. A secondary analysis examined joint association of CKD stages and the number of comorbidities (obesity, hypertension, diabetes, and cardiovascular disease) with the severe COVID-19. Multivariable hazard ratios (HRs) were estimated by cause-specific Cox regression, adjusting for socio-demographics and smoking. RESULTS: Among 26,039 multi-ethnic adult participants (mean age 66.1±14.8, 60.6 % female, 28.6% Whites, 3.2% Asians, 20.6% Blacks, 41.3% Hispanics, 6.3% American Indians) with a median follow-up of 550 days since the onset of the pandemic (baseline: March 1, 2020), there were 734 incident COVID-19 hospitalizations or deaths. The mean time since CKD markers were measured before the baseline was 6.5 years. The cumulative incidence of severe COVID-19 was 2.3, 3.5, 6.5, and 7.3% across CKD risk stages, and similar patterns were observed within variant types (Figure 1). Compared to participants with Low Risk of CKD, there was a graded increased hazards of severe COVID-19 across CKD stages, with HRs (95% CIs) of 1.27 (1.03−1.55) for Moderately Increased Risk, 2.33 (1.77−3.06) for High Risk, and 2.72 (1.89−3.92) for Very High Risk. In a joint analysis, both increased CKD risk and a higher number of comorbidities were associated with a higher risk of severe COVID-19, showing the highest HR of 12.29 (5.75−26.27) in Very High Risk individuals with four comorbidities compared to Low Risk individuals with none. CONCLUSIONS: Higher CKD stages were associated with a greater risk of COVID-19 hospitalization or death and the risk is substantially heightened with additional comorbidities. These results suggest that adults with CKD and related comorbidities may merit enhanced COVID-19 risk mitigation.