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CTNI-30. ALLIANCE A071601: PHASE II TRIAL OF BRAF/MEK INHIBITION IN RECURRENT PAPILLARY CRANIOPHARYNGIOMAS
Geyer, Susan, Kabat, Brian, Gerstner, Elizabeth R. , Choi, Yoon Jae, Fuente, Macarena I. de la , Lesser, Glenn J. , Kumthekar, Priya , Vora, Shivangi, Knopp, Michael V. , Iafrate, A. John , Brown, Paul D. , Barker, Frederick G., Brastianos, Priscilla K. , Reed, Sarah, Kaufmann, Timothy J. , Barbaro, Marissa , Cahill, Daniel P. , Shih, Helen A. , Santagata, Sandro , Galanis, Evanthia

Neuro-Oncology | November 11, 2025 | Volume: 27 | Issue: Supplement_5 | Pages: v132-v133

10.1093/neuonc/noaf201.0527 Get It

Abstract BACKGROUND Craniopharyngiomas are a rare tumor along the pituitary-hypothalamic axis. Genetic analysis revealed that 95% of papillary craniopharyngiomas (PCP) have BRAF V600E mutations (Brastianos et al. Nature Genetics 2014). We previously reported that BRAF/MEK inhibition was associated with significant anti-tumor activity in newly-diagnosed PCP patients (Brastianos et al. NEJM 2023). We have now evaluated the efficacy of vemurafenib/cobimetinib in a separate cohort of patients with recurrent PCP whose tumors progressed after prior radiation. METHODS In this multicenter, NCI-sponsored cooperative group trial, patients with histologically confirmed BRAF-positive PCP who progressed after radiation were treated with vemurafenib/cobimetinib. The primary endpoint of response rate (RR) based on centrally determined imaging data was to be evaluated in 16 patients, where a partial response was defined as ≥20% decrease in volume. This single arm, Simon two-stage phase 2 trial had 89% power to detect a true RR ≥ 30% (vs. null 5%; α=0.04). In this design, 3 or more observed responses in 16 evaluable patients would be considered evidence of promising activity. RESULTS Of the planned 16 patients, a total of 5 patients enrolled before the study was closed due to slow accrual. Median follow-up was 50 months (95% CI: 32 to not yet reached). Based on volumetric response criteria, all 5 patients had a response to treatment (100%; 95% CI: 47.8% to 100%). To date, 2 patients progressed, one of whom died 22 months after study entry. This cohort met the criteria for efficacy under the original design with >3 responders. No grade 4 or 5 toxicities were observed. CONCLUSIONS Vemurafenib/cobimetinib resulted in an objective response in all patients with previously treated PCP. The study met primary endpoint, similar to that reported for previously untreated PCP. Thus, BRAF/MEK inhibitors could be an effective tool for previously treated PCP and warrants further evaluation. SUPPORT U10CA180821; U10CA180882; Genentech, https://acknowledgments.alliancefound.org;ClinicalTrials.gov: NCT03224767
CTNI-07. UNDERSTANDING COMMONLY REPORTED (≥15%) TREATMENT-RELATED ADVERSE EVENTS IN THE RENEU TRIAL OF MIRDAMETINIB IN CHILDREN AND ADULTS WITH NEUROFIBROMATOSIS TYPE 1 (NF1)-ASSOCIATED PLEXIFORM NEUROFIBROMA (PN)
Ambady, Prakash , Maraka, Stefania , Sadighi, Zsila , Schiff, David , Nickerson, Molly, Lokku, Armend, Walbert, Tobias , Antony, Reuben , Nevel, Kathryn , Babovic‐Vuksanovic, Dusica , Nghiemphu, Phioanh L. , Klesse, Laura J. , Moertel, Christopher L. , Nickerson, Molly, Weber, Michael , Stapleton, Stacie L. , Meade, Julia , Gershon, Timothy R.

Neuro-Oncology | November 11, 2025 | Volume: 27 | Issue: Supplement_5 | Pages: v125-v126

10.1093/neuonc/noaf201.0504 Get It

Abstract BACKGROUND Mirdametinib is the first FDA-approved MEK1/2 inhibitor for both adults and children (≥2y) with symptomatic NF1-PN. In ReNeu, symptomatic improvement and PN volume reductions were observed at the earliest assessments (~91 and ~152 days, respectively) and were sustained. This analysis evaluated time to first onset and resolution of commonly reported TRAEs in the ReNeu trial. METHODS Data cutoff (DCO) was September 20, 2023. Median time to first onset and resolution (days) for common TRAEs (≥15%) were evaluated for prepubescents (≥2 to <12y, n=32), postpubescents (≥12 to <18y, n=24), younger adults (≥18 to ≤50y, n=48), and older adults (>50y, n=10). RESULTS Common TRAEs were mostly grades 1 to 2 (83%). In prepubescents, median day (range) of onset was 32 (14, 263) for vomiting, 71 (19, 386) for dermatitis acneiform, 123 (1, 663) for diarrhea, 124 (52, 775) for paronychia, and 127 (2, 663) for nausea. For postpubescents, median day (range) of onset was 8 (1, 438) for diarrhea, 8 (2, 574) for nausea, 12 (1, 252) for dermatitis acneiform, 28 (2, 354) for vomiting, and 110 (43, 245) for paronychia. In younger adults, median day (range) of onset was 5 (1, 352) for nausea, 8 (2, 15) for dermatitis acneiform, 9 (2, 73) for diarrhea, and 29 (1, 264) for vomiting. For older adults, median day (range) of onset was 4 (1, 286) for diarrhea, 9 (2, 15) for nausea, and 13 (2, 38) for dermatitis acneiform. Time to resolution was variable between TRAEs and among patients in all age groups; 90% resolved completely by DCO. Among all patients, 18 had a TRAE of asymptomatic ejection fraction decrease, with all but one resolving by DCO. CONCLUSIONS Overall, common TRAEs arose before treatment benefits and were generally resoluble by DCO. Proactively managing TRAEs may improve treatment experience and adherence.
CTNI-41. RESULTS OF A SINGLE-ARM, OPEN-LABEL, MULTICENTER PHASE 2 STUDY OF THE RADIOPHARMACEUTICAL [177LU]LU-DOTA-TATE IN ADULTS WITH ADVANCED INTRACRANIAL MENINGIOMA
Kurz, Sylvia C. , Zan, Elçin , Lobbous, Mina , Malkin, Mark G. , Miller, Alexandra , Torres-Trejo, Alejandro, Stevens, Glen , Zagzag, David , Golfinos, John G. , Shepherd, Timothy M. , Friedman, Kent, Cordova, Christine , Barbaro, Marissa , Dhawan, Andrew , Silverman, Joshua S. , Snuderl, Matija , Kondziolka, Douglas , Troxel, Andrea B. , Sulman, Erik P.

Neuro-Oncology | November 11, 2025 | Volume: 27 | Issue: Supplement_5 | Pages: v135-v135

10.1093/neuonc/noaf201.0537 Get It

Abstract BACKGROUND Most meningiomas are considered benign tumors, however, a subset of meningiomas are characterized by a more aggressive clinical course and require multimodal treatment. Beyond surgery and radiation, there are no effective medical treatments available. Somatostatin receptor 2 (SSTR2) is expressed by the majority of meningiomas. [177Lu]Lu-DOTA-TATE (177Lu-Dotatate) is a SSTR2-targeting radioligand therapeutic agent that has been successful in other oncological entities, including neuroendocrine tumors. Here we report the results of a phase 2 clinical trial (NCT03971461) evaluating 177Lu-Dotatate in patients with advanced and treatment-refractory intracranial meningiomas. METHODS In this multicenter, open-label, phase 2 study, adults with advanced intracranial meningiomas received 177Lu-Dotatate at 7.4 GBq (200 mCi) every eight weeks for four doses. [68Ga]Ga-DOTA-TATE (68Ga-Dotatate) PET was performed before and at the end of treatment. The primary endpoint was progression-free survival at 6 months (PFS-6). Correlative studies evaluated the association of PFS-6, objective response rate, progression-free survival, overall survival with radiographic tumor measurements, and 68Ga-Dotatate uptake on PET. RESULTS Thirty-two patients (F=21, M=11) with progressive meningiomas (WHO 1=7, WHO 2=24, WHO 3=1) were enrolled. Median age was 65.5 (range 41-78) years. All patients previously underwent tumor resection and at least one course of radiation. Three patients (9%) had received medical therapy. Treatment with 177Lu-Dotatate was well tolerated, no treatment-limiting toxicities were observed. Of 29 evaluable patients at the data cutoff, 19 patients (66%) had achieved PFS-6 (WHO 1=4, WHO 2=15). Radiographically, the best response was partial response (PR) in 2 patients (6%) and stable disease (SD) in 20 patients (63%). CONCLUSIONS Treatment with SSTR2-targeting 177Lu-Dotatate is well tolerated and 66% of patients achieved PFS-6, comparing favorably to historical benchmarks, 177Lu-Dotatate therefore may be a useful new therapeutic modality for patients with advanced meningiomas and will be further explored in MOMENTUM-1 (NCT#06955169), an open-label, randomized, phase 2 trial.
BIOM-30. LONGITUDINAL CEREBROSPINAL FLUID D-2-HYDROXYGLUTARATE FOR DISEASE MONITORING IN PATIENTS WITH IDH-MUTANT GLIOMAS
Riviere-Cazaux, Cécile , Kizilbash, Zain, Laxen, William , Lacey, Jean M., Wipplinger, Tamara , Warrington, Arthur E. , Kamga, Lionel Fotso, Andersen, Katherine, Canaday, Nicholas, Kosel, Matthew , Tortorelli, Silvia , Ruff, Michael W. , Decker, Paul A. , Eckel‐Passow, Jeanette E. , Kizilbash, Sani H. , Kizilbash, Sani H , Suzuki, Yuta , Keough, Michael B. , Sener, Uğur , Decker, Paul A. , Kaufmann, Timothy J. , Burns, Terry C.

Neuro-Oncology | November 11, 2025 | Volume: 27 | Issue: Supplement_5 | Pages: v30-v31

10.1093/neuonc/noaf201.0118 Get It

Abstract Imaging-based monitoring of gliomas is hampered by treatment-related changes, as well as the insidious growth of gliomas harboring the isocitrate dehydrogenase (IDH) mutation. The IDH mutation results in elevated D-2-hydroxyglutarate (D-2-HG), which is detectable in cerebrospinal fluid (CSF) that can be accessed longitudinally from multiple compartments, including cranially via CSF access devices. As such, we evaluated the early utility of CSF D-2-HG as a serially accessible biomarker for IDH-mutant gliomas. A CLIA-approved gas chromatography mass spectrometry assay was developed for CSF D- and L-2-HG. Lumbar and cranial CSF samples were collected from patients with IDH-mutant gliomas or IDH-wild-type brain tumors and non-tumor pathologies via surgical field collection, lumbar punctures, Ommaya reservoirs, and ventriculoperitoneal shunts. First, to confirm the ability of CSF D-2-HG to detect IDH-mutant gliomas, concentrations were compared between IDH-mutant gliomas and wild-type lesions. Cranial, but not lumbar, CSF D-2-HG distinguished primary IDH-mutant gliomas from IDH-wild type lesions (cranial AUC= 0.89, 95% confidence interval (CI)= 0.80-0.97); lumbar AUC= 0.52, 95% CI=0.28-0.76). Indeed, CSF D-2-HG was significantly higher in cranial than lumbar samples from IDH-mutant glioma patients (median lumbar=0.20 μM, cranial = 1.72 μM; p<0.0001), confirming a significantly elevated abundance of CSF D-2-HG only in cranial CSF from IDH-mutant gliomas. Then, response to cytoreduction was evaluated, demonstrating that cranial CSF D-2-HG levels decreased to 0.54x of baseline with resection in seventeen patients (p=0.0129). Changes in tumor-to-CSF contact impacted the serial evaluation of CSF D-2-HG prior to versus after chemoradiation in some patients. Nevertheless, in patients with grade 4 IDH-mutant astrocytomas, serial cranial CSF D-2-HG increased with disease progression and differentiated stability from pseudoprogression when tumor-CSF contact was sufficient. In conclusion, serial cranial CSF D-2-HG shows promise as a monitoring biomarker in patients with IDH-mutant gliomas, although anatomic variables must be considered in parallel to CSF D-2-HG evaluation.
Detecting Transthyretin Cardiac Amyloidosis With Artificial Intelligence
Jain, Sneha S. , Sun, Tony , Pierson, Emma , Oliver, F. , Malta, Paloma P , Castillo, Michelle , Wan, Ningxin, Alishetti, Shudhanshu , Finer, Joshua , Brown, Kathleen LaRow , Ramlall, Vijendra , Elhadad, Noémie , Rodríguez, Fátima , Homma, Shunichi, Poterucha, Timothy J. , Poterucha, Timothy Joseph , Hartman, Heidi S. , Tatonetti, Nicholas P. , Witteles, Ronald , Goyal, Parag , Einstein, Andrew Jeffrey , Maurer, Matthew J. , Elias, Pierre

JAMA Cardiology | November 10, 2025 | Volume: 11 | Issue: 2 | Pages: 117

10.1001/jamacardio.2025.4591 | PMID 41213043 Get It

Importance Transthyretin amyloid cardiomyopathy (ATTR-CM) is underdiagnosed despite expanding treatment options. Objective To develop and evaluate an artificial intelligence (AI)–augmented clinical program for ATTR-CM detection. Design, Setting, and Participants This nonrandomized clinical trial involved constructing an AI model, ATTRACTnet, using electrocardiogram waveforms, echocardiographic measurements, demographics, and diagnosis codes for orthopedic manifestations of amyloidosis. A single-system, multisite, single-arm, open-label trial was conducted to evaluate its real-world performance. The model was trained and validated at a large academic referral site for ATTR-CM with external validation at an academic site. The trial was conducted as a single-system, multisite trial. Patients with left ventricular (LV) wall thickness 12 mm or more and an ATTRACTnet score 0.5 or higher were eligible. Exclusions included prior ATTR-CM testing, hypertrophic cardiomyopathy, expected life span less than 1 year, nursing home residence, advanced dementia, or LV wall thickness less than 14 mm explained by uncontrolled hypertension or moderate/severe aortic stenosis. Intervention Eligible patients were notified and offered nuclear scintigraphy testing, monoclonal protein testing, and follow-up care on agreement from the treating physician. Main Outcomes and Measure The primary outcome was a diagnosis of ATTR-CM by consensus criteria. ATTR-CM testing positivity was compared with historical and contemporary controls. Results ATTRACTnet was developed in an internal test set of 799 patients (mean [SD] age, 75.1 [11.1] years; 516 [64.7%] male and 283 [35.3%] female) using 5-fold cross-validation with an additional external test set of 422 patients. It had good discrimination for ATTR-CM detection with an area under the receiver operator characteristic curve of 0.85 (5-fold cross-validation, 0.77-0.85) in the internal set and 0.82 (95% CI, .81-0.83) in the external test set with similar performance in Hispanic, non-Hispanic Black, and non-Hispanic White patients. A total of 1471 patients were identified with positive AI model scores 0.5 or more during the study period, with 256 eligible patients who met study criteria. Of these patients, 50 underwent amyloidosis testing after physician and patient approval; 24 (48%) were diagnosed with ATTR-CM, and 21 (88%) initiated treatment within 3 months. The positivity rate was more than 2.8 times higher than historical controls (15.3%; 95% CI, 13.1%-17.9%; P < .001), with an 18% relative increase in new diagnoses vs the prior year. Conclusions and Relevance AI-augmented screening may improve ATTR-CM detection and identify patients who are missed by usual care. Prospective randomized trials are needed to determine if outcomes are improved. Trial Registration ClinicalTrials.gov Identifier: NCT06469372
Evaluation of Interventions for Cognitive Symptoms in Long COVID
Koltai, Deborah, Laskowitz, Daniel T. , Wisnivesky, Juan P., Federman, Alex D. , Silverstein, Adam M. , Lokhnygina, Yuliya, Haddad, Michelle M., Mahncke, Henry W. , Vleet, Tom Van, Huang, Rong , Cox, Wendy C., Terry, Diana, Karwowski, Jeannie, McCray, Netia, Lin, Jenny , Singh, Upinder , Geng, Linda N. , Reece, Rebecca , Moy, James N., Arvanitakis, Zoe , Parthasarathy, Sairam , Patterson, Thomas F., Gupta, Aditi , Parsonnet, Jeffrey, Kiriakopoulos, Elaine T. , Mullington, Janet , Jolley, Sarah E. , Shah, Nirav S. , Morimoto, Sarah Shizuko , Lee‐Iannotti, Joyce , Isache, Carmen, Frontera, Jennifer , O’Steen, Ashley, James, Melissa, Harper, Barrie, Zimmerman, Kanecia O. , Lawler, Andrew , Johnson, Brandon M. , Pitsch, Chloe E. , Feuerriegel, Elen , McKeehan, Jeffrey, Molden, Joie, Reid, Kayleigh M., Dowling, Sarah , Wodushek, Thomas, Canton, Diara, Turut, Dilara, Sheppard, Ethan , Scott‐Sutherland, Jennifer, Shaughnessy, Lynn, Beck, Michelle L. , Heisey, Sabrina, Katragadda, Vaishanvi, Yusuff, Amidat, Perlack, Amy, Merisme, Christie, Krause, David, Schulte, Duncan, Dupre, Fabiola, Sanchez, Gina A. Montealegre , Asupoto, Olanike, Simmons, Quinneil, Schroeder, Ryan W. , Timlin, Shannon, Devis, Ycar, Carter, Della, Caceres, Leomaris Caba, Rodríguez, Miguel Grande, Alvarez, Zariya , Yakubov, Amin , Engelson, Celia, Reyes, Michael, Youkhana, Alvin, Jennings, Cheryl , Naquiallah, Dina, Behun, Dylan , Stephen, Ellen, Timm, Emily , Bilimoria, Farrah, Li, Grace , Stricker, Thomas, Michelle, Kang, Minnie, Suarez, Rebeca Tojo, Carmona, Tania, Ramírez, Ana, Kadubek, Grace, Baker, Aileen, Romo-Serna, Andrea, Predki, Barbara, Leman, Cindy, Panhans, Cristina, Roth, Genevieve E., Rudraraju, Gowrisree , Miller, Hannah , DeLisa, Julie A., Williams, Kat, Woodson, Kimberly S., Jennette, Kyle J. , Villanueva, Laura, Norwick, Maria, Martínez, M. T., Rowley, Matt, Carrithers, Michael D. , Pliskin, Neil H. , Pérez, Nicolás , Durkin, Nicole M., Maniar, Nikita, Beety, Rachel, Daspgupta, Raktima, Ramchandran, Ramaswamy, Jaramillo, R., Hasek, Sharon, Macías, S Aguirre, Schuh, Tina , Ialacci, Sarah, Bailey, Christopher , Labbato, Danielle, Hautmann, Amanda , Smith, Beth, Nath, Dia, Meyer, Jessica , DiFrancesco, Kathryn, Pettinato, Kimberly, Curtis, Lynette, Daher, Joviane , Koberssy, Ziad , Mavar, Caleb, Andrefsky, John, Merheb, Alexander, Hernandez, Carla, Baissary, Jhony , Atieh, Ornina , Pereira, Carol, Carpenter, Deborah, Raynor, Jennifer , Brunton, Kristine, Podgoreanu, Andreea, Bunch, P. C., O’Brien, Sean M. , Dickey, Sheila, McNulty, Steven E., Gajjar, Varsha, Neale, Alec C. , Cohen, Cari, Geary, Elizabeth, Campanella, Franco, Anderson, Kirsten, Prestige, Laura, Guidotti-Breting, Leslie, Biewer, Megan, Morton, Melissa , Mathenia, Nicholas, Adeyemi, Oluwadamilola A. , Hengst, Samanike, Ning, Wei , Vanderloo, Adam, Caplan, Amanda, Chen, July, Acree, Mary Ellen , Nakhate, Mukund, Dan, Zaw Nu, Pk, Switzer, Aryal, Shambhu , Sanchez, Jessica, Sims, Luke, Ferdinand, Rebecca , Mammadova, Mehriban, Grimes, Carolyn Z. , Vidales, Elizabeth, Pham, Hau , Nielsen, Laura, Keller, Maryjane, Uruba, Syeda, Hernandez, Maria, Patel, Bela , Umana-Sanchez, Virginia, Pak, Chong, Gainer, Jeffery, BURR, R, Trapuzzano, Ashleigh, Celso, Brian G. , Bienkowski, Grace, Bowman, Jennifer, Verdecia, Jorge , Zerwekh, Kathryn, Serrano, Liliana , Marotz, Meghan, Propp, Piper, Sarig, Yonatan , Murphy, Annie, Comfort, Brandon, Torres, Iri, Klein, Jeffrey A. , Walker, John, Moore, John J., Tempest-Browning, Lisa, Arain, Mudassar, Kemp, Pamela, Sullivan, Samantha, Way, Sonja, Chevalier, Jessica, Sykes, Carly, Kruck, Carrie L., Sackett, L. W., Bang, Claire, Hynes, Mary, Gallagher, Torrey L., Childers-Kakos, Margaret, Zia, Ahmad, South, AP, Oravets, Anne, Ferreyra, Carolyn, Glaze, Chad, Villanueva, Daphne-Dominique , Blystone, Erica, Pritchard, Jane, Alyward, Laura, Cooper, Melissa, Chidester, Michelle, Alderson, R. Matt , Clark, Renee D., Hodder, Sally , Sarwari, Arif R, Juskowich, Joy, Welch, Shelly, Civil, Alyssa, Bendl, Ashley, Dicker, Elisa, Hanson, Hannah, Viola, Heather, Morinigo, Janice, Pantaleon, Karisma, Marcon, Kathryn, Stone, Kimberly, Stewart, Kiwan, Evo-Ortega, Lorraine, McVeety, Megan, Guliyeva, Sabina , Watson, Eric , Pehel, Shayna, Ko, Tim, Caropolo, Leah, Kocas, H. Deniz , O’Donnell, Andrew, Saperia, Corey , Thai, Daniel, Pathak, Divya , Keller, Jennifer M. , Olszewski, Kelly, Clinton, Kimberly, Cherian, Kirsten , Dutton, L M, Elepano, Ma, Mohapatra, Sukanya , Chen, Ting , Wroolie, Tonita, Leang, Zenita, Shashidhar, Sumana, Nguyen, T L, Ravisankar, Ashwath, Weiden, Brycie, Bolliger, Dawn, Glesne, Heather, Dixon, Jennifer , Chebrolu, Praneeth, Gazali, Zarine, Hurst, Whitney, Fry, Avery, Murthy, Ganesh, Grischo, Garrett, Erickson, Heidi L. , Gomez, Isaias, Copeland, Jacquelynn, Galaz, Judy, Autry, Lynn, DiLise-Russo, Marjorie, Marshell, Nikki, Borwege, Sabine, Vadovicky, Sheila, Marsh, Stephanie, Hartley, William, Murtagh, Linda, Kennedy, Anna, Meltzer-Christensen, Annie, Stringham, Caitlyn, Gaskin, Ella, Judd, Melissa, Côté, Sarah , Mahasenan, Shreya, Bjorklund, Todd, Farner, Cheryl E., Taylor, Barbara S. , Soileau, Bridgette, Cote, Cyrena , Hromas, Gabrielle A., Scholler, Irma, Longoria, Lisa, Heard, Patricia, Jones, Johnnie, Tragus, Robin , Harris, Maya, Pinones, Alexis, Anderson, Alyssa , Hastings, Gabrielyd, Courtright, jessica, Jayakumar, Madhumita, Fischer, M, Solis, Pamela, Harteloo, Alex, Elias-Warren, Anna, Nguyen, Daniel , McDonald, Dylan , Rau, Holly , Mernaugh, Jean, Pagulayan, Kathleen F. , Watanabe, Kino, Huden, Kristen, Peabody, Laurel, Mei, Tiffany, Ogunwuyi, Catherine, Cobbina, Esther, Sankar, Ian, Nguyen, Lisa , Fromm, N., Arnold, R. Douglas, Ogu, Stephanie, Yuan, Ying , Ibrahim, Homam , Szum, Izabella, Patel, Jignesh, Sultan, Sonia, Jazayeri, Yasmin, Anderson, Betty Lise, Muñoz, Isabel , Rhys, Logan, Vane, Ryan, Kim, Jessica , Diaz, Leticia M., Yee, Nathan, Gruhn, Robert, Browngoetz, Sarah, Johnson, Elisha, Chand, Arista , Bottrill, Kenneth , Henderson, Kymberly, Johnson, DeArmond, Richard C., Hughes, Trina, Silverstein, A , Silverstein, Adam P , Frontera, Jennifer , Geng, Linda N. , Knopman, David S. , Becker, Jacqueline , Charvet, Leigh , Pilloni, Giuseppina , Huang, Rong, Cox, Wendy, Karwowski, Jeannie, McComsey, Grace A. , Chu, Helen Y. , Ostrosky‐Zeichner, Luis , Fong, Tamara G. , Killgore, William D. S. , Dwyer, Brigid C. , Stringer, William W. , Krishnan, Jerry A , James, Melissa, Johnson, Brandon, Erlandson, Kristine M. , Dowling, Sarah, Hauser, Kristine , Doyle, Michael, Beck, Michelle, Tran, Anh, Altaras, Caroline , Sanchez, Gina, Krengel, Maxine , Ly, Monica T. , Asupoto, Olanike, Schroeder, Ryan, Rodriguez, Miguel, González, David Andrés , Torres, Jimena, García, Maria Luisa , Carrera, Laura, Rutherford, Melissa, Perez, Nicolas, Jaramillo, Ruthie, Smith, Beth, Walkup, Kevin, Scott, Sarah , Mavar, Caleb B., Carpenter, Deborah, Bunch, Pyper, Brown, Richard, Escobar, Carolina, Campanella, Franco, Mathenia, Nicholas, Glickman, Michael S. , Sims, Luke A., Pham, Hoai Phuang, Lopez, John, Hernandez, Maria, Lin, Matthew Junda , Gainer, Jeffery, Brown, Gina , Klein, Jeffrey, Reed, Jessica, Walker, John, Sackett, Lisa, Kaden, Sarah J. , Childers-Kakos, Margaret G, South, Amy, Blystone, Erica, Cooper, Melissa, Alderson, Rachael, Clark, Renee, Bardes, James M. , Hanson, Hannah, Loizos, Maria , Caropolo, Leah J., Fernandez, Luis, Keller, Jennifer, Lin, Rebecca, Brown, Daniel, Dixon, Jennifer, James, Michelle, Kala, Mrinalini , Smith, Ryan S. , Mahasenan, Shreya, Johnson, Hillary, Anderson, Alyssa, Hernandez, Jessica, Sullivan, Michael, Nguyen, Helen , Logue, Jennifer, Mei, Tiffany, Arnold, Rowan, Szum, Izabella , Hatlen, Timothy J. , Anderson, Betty, Munoz, Isabel, Wright, Matthew, Diaz, Leticia, DeCato, Thomas W. , Ortiz, Ernesto, Hildebrand, Lindsey L. , DeArmond, Richard

JAMA Neurology | November 10, 2025 | Volume: 83 | Issue: 1 | Pages: 49

10.1001/jamaneurol.2025.4415 | PMID 41212544 Get It

Importance Treatment for cognitive dysfunction due to postacute sequelae of long COVID (ie, symptoms of fatigue, malaise, weakness, confusion that persist beyond 12 weeks after an initial COVID infection) remains a significant unmet need. Objective To test evidence-based rehabilitation strategies for improving cognitive symptoms in persons with long COVID. Design, Setting, and Participants This was a 5-arm, multicenter, randomized clinical trial of 3 remotely delivered interventions conducted between August 17, 2023, and June 10, 2024. The study took place at 22 trial sites and included the screening of individuals with cognitive long COVID. Interventions Participants were randomized to 1 of 5 arms: adaptive computerized cognitive training (BrainHQ [Posit Science]), cognitive-behavioral rehabilitation involving both group and individual counseling sessions (PASC-Cognitive Recovery [PASC-CoRE]) paired with BrainHQ, and transcranial direct current stimulation (tDCS) paired with BrainHQ. Two comparator arms were included as follows: unstructured computer puzzles and games (active comparator) and sham tDCS paired with BrainHQ. The interventions occurred 5 times per week over 10 weeks. Main Outcomes and Measures Cognitive and behavioral in-person assessments were performed at baseline, midintervention, at the end of intervention, and 3 months after the end of the intervention. The primary outcome measure was the modified Everyday Cognition Scale 2 (ECog2) completed at the end of the intervention compared to the baseline visit based on participant self-report looking back over the prior 7 days. Results A total of 378 individuals were screened, from which there were 328 participants (median [IQR] age, 48.0 [37.0-58.0] years; 241 female [73.5%]; race: 15 Asian [4.6%], 47 Black [14.3%], and 235 White [71.6%]; ethnicity: 52 Hispanic [15.9%]). None of the 3 active interventions demonstrated benefits on the modified ECog2 in the intention-to-treat population by the end of the intervention period. The adjusted differences in mean change were 0.0 (95% CI, −0.2 to 0.2) for BrainHQ vs active comparator, 0.1 (95% CI, −0.1 to 0.3) for PASC-CoRE + BrainHQ vs active comparator, 0.0 (95% CI, −0.2 to 0.2) for tDCS-active + BrainHQ vs tDCS-sham + BrainHQ, and 0.1 (95% CI, −0.1 to 0.3) for PASC-CoRE + BrainHQ vs BrainHQ alone. Secondary participant-reported outcomes and neuropsychological tests showed no differential benefits for any treatment arm. All 5 arms demonstrated some improvements over time on the modified ECog2 and on secondary outcomes. There were no serious adverse events attributable to the interventions. Conclusions and Relevance This phase 2 randomized clinical trial failed to demonstrate differential benefits for online cognitive training, a structured cognitive rehabilitation program, and tDCS for cognitive long COVID. Trial Registration ClinicalTrials.gov Identifier: NCT05965739 .
The Consortium for Clarity in ADRD Research Through Imaging (CLARiTI): Overview of consortium sites and anticipated enrollment
Oomens, Julie Elisabeth , Biber, Sarah , Albert, Marilyn, Alosco, Michael L. , Arfanakis, Konstantinos , Brewer, James B., Chin, Erin, Clark, Lindsay R. , Cohen, Ann D. , Dage, Jeffrey L. , Detre, John A. , DiFilippo, Frank P. , Dyck, Christopher H. van , Grabowski, Thomas J. , Habes, Mohamad, Hedden, Trey , Jagust, William, Jefferson, Angela L. , Kecskemeti, Steven , Kantarci, Kejal, Keene, Dirk, Knoefel, Janice E. , Lin, Weili, Masurkar, Arjun V. , Morhardt, Darby, Okonkwo, Ozioma C. , Rabinovici, Gil D. , Rahman‐Filipiak, Annalise , Reiman, Eric M., Risacher, Shannon L. , Rosen, Howie, Schneider, Lon S. , Song, Allen W. , Swerdlow, Russell H. , Vaillancourt, David E. , Villemagne, Victor L. , Qiu, Deqiang , Foroud, Tatiana, Mormino, Elizabeth C. , Kantarci, Kejal , Oomens, Julie E , Kantarci, Kejal , Rabinovici, Gil D , Dage, Jeffrey L , Cohen, Annie , Benzinger, Tammie L.S. , Burns, Jeffrey M. , Chin, Nathaniel A. , Dickerson, Bradford Clark , Donohue, Michael , Fan, Audrey Peiwen , Habes, Mohamad , Harrison, Theresa M. , Hohman, Timothy J. , Jicha, Gregory A. , Kukull, Walter A. , Lin, Weili , Lao, Patrick , Lepping, Rebecca J. , Levendovszky, Swati Rane , McConathy, Jonathan , Mindt, Mónica Rivera , Noll, Douglas C. , Parrish, Todd B. , Reiman, Eric M. , Rudolph, Marc D. , Silbert, Lisa C. , Stark, Craig E.L. , Thompson, Paul M. , Wolk, S. J. , Johnson, Sterling C.

Alzheimer's & Dementia | November 10, 2025 | Volume: 21 | Issue: 11 | Pages: No page available

10.1002/alz.70880 | PMID 41208739 Get It

Abstract INTRODUCTION The Consortium for Clarity in Alzheimer's disease related dementias (ADRD) Research Through Imaging (CLARiTI) is a study that aims to collect standardized imaging and plasma biomarkers on 2000 Clinical Core participants enrolled across all Alzheimer's Disease Research Centers (ADRC) sites. We sought to summarize the known heterogeneity across centers regarding scientific focus and initial enrollment plans for CLARiTI. METHODS We developed and distributed a survey capturing information on the 36 CLARiTI site's theme/expertise, recruitment plans, and the intersection of CLARiTI with other ADRC imaging efforts. RESULTS Anticipated CLARiTI enrollees spanned 11 different categories of suspected etiologies underlying impairment. A wide range of risk factors were endorsed across sites regarding the enrollment of unimpaired individuals. Variability also existed regarding site‐level strategies in enrollment into CLARiTI versus other imaging efforts. DISCUSSION We anticipate that the 2000 individuals that will enroll into CLARiTI will reflect the clinical heterogeneity already in place across the ADRC network. Highlights The ADRC Consortium for Clarity in ADRD Research Through Imaging (CLARiTI) will leverage and contribute to the existing Alzheimer's Disease Research Centers (ADRC) program by supporting standardized imaging and plasma collection across all centers. We summarize the variation in scientific focus and enrollment plans across ADRC sites participating in CLARiTI. The anticipated CLARiTI cohort will reflect the clinical heterogeneity that already exists across the ADRC network. CLARiTI will contribute to scientific goals related to the detection of multi‐etiological signatures relevant for Alzheimer's disease and related disorders (ADRDs).
Semaglutide therapy for metabolic dysfunction–associated steatohepatitis: November 2025 updates to AASLD Practice Guidance
Bansal, Meena B. , Patton, Heather , Morgan, Timothy R. , Carr, Rotonya M. , Dranoff, Jonathan A. , Allen, Alina M. , Allen, Alina M , Dranoff, Jonathan A , Patton, Heather M

Hepatology | November 7, 2025 | Volume: 83 | Issue: 5 | Pages: 1326-1340

10.1097/hep.0000000000001608 | PMID 41201884 Get It

This practice recommendation serves as an update to the 2023 AASLD Practice Guidance on the clinical assessment and management of nonalcoholic fatty liver disease (NAFLD), now known as metabolic dysfunction–associated steatotic liver disease (MASLD), and provides implementable guidance on patient selection for treatment, consideration of comorbidities, and monitoring of treatment safety and efficacy of semaglutide. FDA-indication and Practice Recommendation: The Wegovy formulation, whose main ingredient is semaglutide, received accelerated FDA approval in August 2025 for treating MASH with moderate-to-advanced fibrosis (consistent with stages F2–F3 fibrosis), based on interim results of the phase 3 ESSENCE trial where 72 weeks of 2.4 mg/week subcutaneous injection resulted in achievement of both primary histologic endpoints: (1) resolution of MASH without worsening of fibrosis (62.9% vs. 34.3% placebo, p <0.001) and (2) ≥1 stage reduction in liver fibrosis without worsening of MASH (36.8% vs. 22.4% placebo, p <0.001); final approval awaits long-term outcomes. Patient Selection: Candidates should have MASH with stage 2–3 fibrosis, identified using non-invasive tests (NITs) such as VCTE (8–15 kPa), MRE (3.1–4.4 kPa), or ELF (9.2–10.5), rather than liver biopsy, which is impractical and unnecessary for most patients. In those with VCTE (15–20 kPa), MRE (4.4–5 kPa), or ELF (10.5–11.3), an individualized decision to treat should be based on exclusion of cirrhosis with another confirmatory NIT, or cross-sectional imaging excluding nodular-appearing liver contour and signs of portal hypertension, or a platelet count of <150,000/mm 3 . While semaglutide is not approved to treat patients with MASH cirrhosis (VCTE >20 kPa, MRE>5.0 kPa, ELF>11.3, and/or evidence of portal hypertension), those with compensated cirrhosis who are receiving semaglutide for another FDA-approved indication should be monitored carefully. Monitoring and Safety: Semaglutide showed a favorable hepatic safety profile in the ESSENCE trial, with no discontinuations due to liver enzyme elevations. Routine hepatic panels are recommended only as clinically indicated. The most common adverse events were gastrointestinal (nausea, diarrhea, constipation, vomiting), generally mild and transient; patient education and dose titration help improve tolerance. Clinicians should monitor for rare but serious risks, including acute kidney injury (from dehydration), symptomatic gallbladder disease, pancreatitis, thyroid C-cell tumors, retinopathy progression, and lean mass loss. Treatment Response and Concomitant Therapy: Lifestyle modification remains the cornerstone of MASLD/MASH management alongside semaglutide. Combination use of resmetirom with semaglutide 2.4mg/week has not been studied. While no NITs reliably predict histologic response at the individual patient level, reductions from baseline to 72 weeks of treatment suggest significant improvement in MASH resolution (ALT ≥17 U/L or ≥20%) and fibrosis improvement (VCTE LSM ≥30%; MRE LSM ≥20%; ELF ≥0.5). Non-response may be suspected if ALT or NITs worsen. The benefit is uncertain if a suboptimal response occurs, and may require an individualized approach and further follow-up.
A Multicenter Double-blind Randomized Sham-controlled Trial Assessing the EndoBarrier Duodenal-jejunal Bypass Liner for the Treatment of Poorly Controlled Type 2 Diabetes Mellitus With Concomitant Obesity
Thompson, Christopher C. , Jirapinyo, Pichamol , Brethauer, Stacy A., Shaheen, Nicholas J. , Sullivan, Shelby , Wilson, Erik B., Schulman, Allison R. , Butsch, W. Scott , Gersin, Keith S., Apovian, Caroline M., Schauer, Philip, McCarty, Thomas R. , Koch, Timothy R. , Dayyeh, Barham K. Abu

Annals of Surgery | November 7, 2025 | Volume: 284 | Issue: 1 | Pages: 34-42

10.1097/sla.0000000000006974 | PMID 41199626 Get It

Objective: An endoscopically placed duodenal-jejunal bypass liner (DJBL) may provide a safe adjunctive therapy for those with poorly controlled type 2 diabetes mellitus (T2DM) and obesity. Background: Although some endoscopic therapies have been shown to improve glycemic indices secondary to weight loss, small bowel interventions may have direct metabolic effects. A meta-analysis of observational studies demonstrated reduction in HbA1c by 1.3% at 1 year after DJBL in patients with T2DM and obesity. Methods: This was a multicenter, double-blind, randomized, sham-controlled trial comparing DJBL to sham procedure with medical management and lifestyle modification. Primary endpoints included mean difference in changes in HbA1c at 12 months between arms, and device-related serious adverse events (SAEs). Secondary endpoints included percent total weight loss (%TWL) and subjects achieving HbA1c≤7% and TWL≥5% at 12 months. Results: Three hundred twenty subjects were randomized to DJBL (n=212) and sham (n=108). Baseline HbA1c and BMI were 8.79±0.92% and 38.45±5.75 kg/m 2 . On modified intent-to-treat analysis, change in HbA1c at 12 months was −1.10±1.45% and −0.28±1.54% for DJBL and sham groups, respectively ( P =0.0004). Rate of device-related SAEs was 9.4% including intolerance (3.7%), hemorrhage (2.8%), and hepatic abscess (2.3% stopping study early). At 12 months, DJBL group experienced greater weight loss compared with sham (7.7±9.6% TWL and 2.1±5.4% TWL, respectively; P <0.0001), with significantly more patients achieving HbA1c ≤ 7% (28.3% vs. 9.4%; P <0.0003) and TWL ≥ 5% (60.4% vs. 21.3%; P <0.0001). Conclusions: DJBL met primary glycemic control efficacy and primary safety endpoints, while providing clinically significant weight loss, and comorbidity improvement.
Longitudinal Associations Between Internalized HIV Stigma and Lower HIV Antiretroviral Therapy Adherence Among People With HIV
Whitney, Bridget M. , Christopoulos, Katerina , Cachay, Edward R. , Keruly, Jeanne , Chander, Geetanjali , Johnson, Mallory O. , Yendewa, George A. , Saag, Michael S, Kitahata, Mari M. , Moore, R. D., Bamford, Laura , Fredericksen, Rob J. , Crane, Heidi M. , Drumright, Lydia N , Cachay, Edward, Drumright, Lydia N. , Delaney, Joseph A. , Crawford, Timothy N. , Christopoulos, Katerina A. , Mayer, Kenneth Hugh , Saag, Michael S. , Moore, Richard D. , Napravnik, Sonia

JAIDS Journal of Acquired Immune Deficiency Syndromes | November 6, 2025 | Volume: 101 | Issue: 3 | Pages: 249-256

10.1097/qai.0000000000003793 | PMID 41195979 Get It

Background: Internalized HIV stigma (IHS) is associated with reductions in antiretroviral therapy (ART) adherence and HIV viremia mediated through depression. However, there is still a need to quantify the direct impact of IHS on ART adherence to inform interventions to improve medication adherence. Methods: The Center for AIDS Research Network of Integrated Clinical Systems is a longitudinal, US-based, multisite cohort of people with HIV who complete patient-reported outcome assessments as part of HIV-care visits. Patient-reported outcome data include IHS items, ART adherence, depression assessments, substance use, and other outcomes. We examined associations between IHS and ART adherence using generalized linear latent and mixed models with a nonparametric random effects intercept to accommodate repeated measures. Results were compared with analyses using generalized estimating equations and marginal structural models. Results: Among 13,119 people with HIV, the mean age was 47.4 years, 17.6% were women, and 59.3% were non-White. Across 33,139 observations, controlled for repeated measures on individuals, HIV medication adherence was reduced by 1.07% for every point increase in IHS after controlling for age, sex, ethnicity, geographic location, and substance use, and 0.58% when additionally adjusted for depression score. Marginal structural models and generalized estimating equations provided similar results. Conclusions: Our study demonstrates that IHS has a direct association with reductions in ART adherence, which could affect other comorbid health outcomes that are influenced by unsuppressed viremia over time. Developing a thorough understanding of the mechanisms through which IHS affects ART adherence is critical for developing interventions to mitigate IHS and improve health outcomes across the lifespan.