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322 citation(s) found for "Yu, Theresa".

Single-cell immune repertoire atlas maps coordinated circulating adaptive immune states in inflammatory bowel disease
Gubatan, John , Ye, Jiayu, Lund‐Andersen, Christin , Canas, Jorge, Zhou, Yuxi , Boye, Theresa, Hoang, Jacqueline, Sojwal, Raoul, Fardeen, Touran , Tran, Tracy, Sokzini, Peacha, Koh, Ally H, Gibson, Marielle, Huang, Yuting , Peterson, Kathryn , Sinha, Sidhartha, Rogalla, S, Nielsen, Ole Haagen , Rosen, Michael J, Zhou, Yuxi , Canas, Jorge , Huang, Yuting , Ye, Jiayu, Boye, Theresa Louise , Hoang, Jacqueline, Sojwal, Raoul S. , Tracy, Tran, Rosen, Michael J., Sandve, G K , Gubatan, John Mark

No container title available | September 23, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.64898/2026.09.20.753043 Get It

Single-cell studies have defined immune states in inflammatory bowel disease (IBD), but how adaptive receptor histories organize circulating immunity remains unclear. We generated a single-cell transcriptomic atlas of peripheral blood from 249 participants with Crohn's disease, ulcerative colitis, or non-IBD control status, including 182 with productive TCR and BCR recovery. Expanded TCR clonotypes marked inflammatory-memory and cytotoxic states, while distinct but similar paired TCRs shared inflammatory programs across participants. BCR lineage maturation linked IgA-associated mucosal and plasma B cell programs to somatic mutation and class switching, distinguishing maturation-associated biology from clonal expansion. Helper, regulatory, and cytotoxic T-cell programs covaried with B-cell states, and inferred interactions nominated reciprocal antigen-presentation and helper pathways. Repertoire-based machine learning distinguished diagnosis, inflammation, and contemporaneous six-month treatment-response status. Together, this atlas connects receptor architecture to coordinated systemic immune remodeling, establishes a foundation for repertoire-informed patient stratification, and prioritizes candidate mechanisms of IBD pathogenesis.
Mesothelioma: Pleural, Version 3.2026, NCCN Clinical Practice Guidelines In Oncology
Stevenson, James, Riely, Gregory J. , Wood, Douglas E. , Aisner, Dara L. , Bauman, Jessica R., Chang, Joe Y., Desai, Aakash, Dilling, Thomas J. , Dowell, Jonathan, Durm, Gregory A. , Gettinger, S., Grotz, Travis E., Gubens, Matthew A., Lackner, Rudy P., Lanuti, Michael, Levy, Benjamin, Loo, Billy W., Maldonado, Fabien, Morgensztern, Daniel , Mullikin, Trey C., Ng, Thomas, Owen, Dawn , Owen, Dwight H., Patil, Tejas, Polanco, Patricio M., Riess, Jonathan, Mendez, Ana Lucia Ruano, Shapiro, Theresa A. , Singh, Aditi P., Tam, Alda, Yau, Edwin, Yun, Karen, Gregory, Kristina, Hang, Lisa, Desai, Aakash , Desai, Aakash P , Axtell, Andrea L. , Bauman, Jessica R. , Bharat, Ankit , Gettinger, Scott , Grotz, Travis E. , Gubens, Matthew A. , Juloori, Aditya , Levy, Benjamin , Lin, Jules , Loo, Billy W. , Lovly, Christine Marie , Maldonado, Fabien , Mullikin, Trey C. , Patil, Tejas , Polanco, Patricio Marcelo , Tanvetyanon, Tawee , Yanagawa, Jane , Yau, Edwin , Yun, Karen M. , Gregory, Kristina M., Hang, Lisa E.

Journal of the National Comprehensive Cancer Network | August 17, 2026 | Volume: 24 | Issue: 8 | Pages: No page available

10.6004/jnccn.2026.0038 | PMID 42607715 Get It

Mesothelioma is a rare cancer that originates from the mesothelial surfaces of certain sites within the body. Pleural mesothelioma is the most common type and represents approximately 85% of mesotheliomas. The NCCN Guidelines for Mesothelioma: Pleural provide recommendations for evaluation and treatment in patients with pleural mesothelioma. The NCCN Guidelines will continue to be updated annually based on available clinical evidence and panel consensus.
Accelerating Evidence-Based Practices in Acute Kidney Injury
Brown, Jeremiah R. , Rabin, Borsika A. , Akcan‐Arikan, Ayse , Awdishu, Linda , Bagshaw, Sean M. , Brookman‐Frazee, Lauren , Cerdá, Jorge , Granado, Rolando Claure‐Del , Ghazi, Lama , Goldstein, Stuart L. , Liu, Kathleen D., Mottes, Theresa, Selby, Nicholas M. , Vijaykumar, Aarthi, Zarbock, Alexander, Neyra, Javier A. , Rewa, Oleksa G , Rabin, Borsika A , Akcan-Arikan, Ayse , Awdishu, Linda , Bagshaw, Sean M , Brookman-Frazee, Lauren , Cerdá, Jorge , Claure-Del Granado, Rolando , Ghazi, Lama , Goldstein, Stuart L , Jeong, Rachel , Kashani, Kianoush B , Koyner, Jay L , Macedo, Etienne , Pannu, Neesh , Reddy, Yuvaram N V , See, Emily , Selby, Nicholas M , Siew, Edward D , Silver, Samuel A , Srinsawat, Nattachai , Stadnick, Nicole A , Vijaykumar, Aarthi , Wald, Ron , Wilson, F Perry , Ronco, Claudio , Ostermann, Marlies , Mehta, Ravindra L , Neyra, Javier A , Kashani, Kianoush , Koyner, Jay L. , Liu, Kathleen D. , Macedo, Etienne , Mottes, Theresa , Pannu, Neesh , Reis, Thiago , Siew, Edward D. , Silver, Samuel A. , Wilson, F. Perry , Zarbock, Alexander , Ronco, Claudio , Ostermann, Marlies , Mehta, Ravindra L.

Clinical Journal of the American Society of Nephrology | July 31, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.2215/cjn.0000001205 | PMID 42537020 Get It

Scientific evidence regarding AKI and acute kidney care has advanced in recent years. However, a knowledge gap remains on the implementation of these evidence-based practices (EBPs) into clinical care. Implementation science (IS) is focused on ensuring that this knowledge is translated in an effective, efficient and sustainable fashion. Objectives: 1) Define the current status of IS; 2) Define a roadmap for accelerating IS with a focus on patient/care partner advocacy, digital tool application, social determinants of health, and resource-limited settings; and 3) Develop a robust and broad research agenda incorporating IS methodology into the programs. Evidence Review: ADQI XXXV was conducted through a modified Delphi process with virtual meetings preceding an in-person meeting. Five workgroups were determined a priori to focus on 1) IS definitions and methods applicable to AKI and acute kidney care; 2) IS literature in AKI and acute kidney care; 3) Innovations in IS to accelerate the adoption, adherence to, and sustainment of EBPs in AKI and acute kidney care; 4) IS methods in resource-limited settings; and 5) Recommendations to identify and evaluate EBPs that are ready for implementation or de-implementation. Prior to the in-person meeting, each workgroup met virtually to review the literature and develop framework questions to address their objectives. During the two-day in person meeting, through iterative discussions, questions and supporting statements were finalized. These questions and statements were agreed upon through voting to achieve consensus, defined as agreement of ≥80%. Conclusions and Relevance: We report a structured multidisciplinary consensus for defining the role of IS in AKI and acute kidney care. Future programs should address these consensus questions and apply these statements along with IS methodology in the translation of science into clinical practice and the implementation/de-implementation of EBPs in clinical care.
Amyloid PET Quantitation and Centiloid Thresholds in the Diagnosis of Alzheimer Disease
Soleimani‐Meigooni, David N. , Chiotis, Konstantinos, Allen, Isabel E., Rabinovici, Gil D., Joie, Renaud La , Group, Meta-Centiloid Study, Apostolova, Liana G. , Asken, Breton M., Benzinger, Th., Betthauser, Tobey J., Bluma, Marina, Bombois, Stephanie, Bourgeat, Pierrick, Bouteloup, Vincent , Braskie, Meredith N., Brendel, Matthias, Brickman, Adam M., Bryant, Natalie, Bullich, Santiago , Carrillo, Maria C., Casaletto, Kaitlin, Cash, David M., Chang, Chiung-Chih, CHANG, H L, Chao, Yishu , Collij, Lyduine E., Corrada, Maria M., Craft, Suzanne , Dickerson, Bradford C., Dubois, Bruno, Dufouil, Carole, Fajardo, Alfonso, Farrar, Gill , Fortea, Juan, Frings, Lars , Frisoni, Giovanni B., Gardner, Raquel C., Gnörich, Johannes , Gordon, Brian A., Gu, Yuna , Guan, Yihui, Guo, Tengfei, Hanseeuw, Bernard J., Hansson, Oskar, Harrison, Theresa M., Huang, Qi, Huang, ST , Iaccarino, Leonardo, Ishii, Kazunari, Ishi, Kenji, Jagust, William J., Johnson, Sterling C., Kato, Takashi, Katsumi, Yuta, Kaye, Jeffrey, Kolinger, Guilherme D., Kramer, Joel H. , Landau, Susan M., Landeau, Brigitte, Lao, Patrick J., Lee, Sangwon, Lopresti, Brian J., Lowe, Val J. , Luchsinger, José A., Mao, Xiaoxie, March, Andrew, Masters, Colin L., Meyer, Philipp T., Mezenge, Florence, Mormino, Elizabeth C., Franquesa‐Mullerat, María , Nakamura, Akinori, Nordberg, Agneta, O’Brien, John T., O’Bryant, Sid E., Pappas, Ioannis, Peretti, Debora E., Rowe, Christopher C., Rowe, James B., Schwartz, Daniel L., Seo, Sang Won , Shekari, Mahnaz, Smith, Ruben, Snyder, Heather M. , Sokolowski, Andrzej, Sperling, Reisa A., Sun, Pan, Taggett, Jacinda Z., Touroutoglou, Alexandra , Vaillancourt, David E., Giessen, Elsmarieke van de, Vijverberg, Jort, Villemagne, Victor L. , Villeneuve, Sylvia , Wang, Wei-en, Weiner, Michael, Woodworth, Davis, Xiao, Cally , Xie, F, Yoon, Yeojun, Yun, Mijin, Severanc, A4, ABIDE, ADNI*, ADNI-DoD, AgeWell, AIBL, AMYPAD, BACS, BATON, BIOCARD, BLSA, BioFINDER-2, BrANCH, CPAS, DETECT-AD, GEMS, GHABS, HABS, HABS-HD, IDEAS, IMAP, INSIGHT-preAD, Insight46, K-ROAD, LEADS, MCSA, MULNIAD, MEMENTO, SCAN, PREVENT-AD, SPIN,, Corrada, María M. , La Joie, Renaud , Blazhenets, Ganna , Chiotis, Konstantinos , Allen, Isabel Elaine , Rabinovici, Gil D. , Asken, Breton M. , Bejanin, Alexandre , Benzinger, Tammie L.S. , Betthauser, Tobey J. , Blūma, Marina , Bombois, Stéphanie , Bourgeat, Pierrick , Braskie, Meredith N. , Brendel, Matthias , Brickman, Adam M. , Carrillo, María C. , Casaletto, Kaitlin B. , Cash, David M. , Chang, Chiung‐Chih , Chang, Hsin‐I , Chêne, Geneviève , Chételat, Gaël , Coath, William , Collij, Lyduine , Colmant, Lise , Dickerson, Bradford Clark , Dubois, Bruno , Dufouil, Carole , Fortea, Juan , Garibotto, Valentina , Gordon, Brian A. , Guan, Yihui , Guo, Tengfei , Hanseeuw, Bernard , Hansson, Oskar , Harrison, Theresa M. , Iaccarino, Leonardo , Ishii, Kazunari , Ishii, Kenji, Jagust, William J. , Johnson, Sterling C. , Katsumi, Yuta , Kaye, Jeffrey , Koeppe, Robert A. , Kolinger, Guilherme Domingues , Landau, Susan , Landeau, Brigitte , Lao, Patrick , Lee, Sangwon, Lleó, Alberto , Lopresti, Brian J. , Malpetti, Maura , March, Andrew, Masters, Colin L. , Mézenge, Florence, Mormino, Elizabeth C. , Nakamura, Akinori , Nordberg, Agneta , O'Brien, John Tiernan , O’Bryant, Sid E. , Pappas, Ioannis , Quenon, Lisa , Rowe, Christopher Cleon , Rowe, James B. , Rudolph, Marc D. , Salvadó, Gemma , Schott, Jonathan M. , Schwarz, Christopher G. , Shekari, Mahnaz , Silbert, Lisa C. , Smith, Ruben, Sokolowski, Andrzej, Sperling, Reisa Anne , Sun, Pan , Taggett, Jacinda , Toga, Arthur W. , Vaillancourt, David E. , Giessen, Elsmarieke van de , Vemuri, Prashanthi , Villain, Nicolas , Wang, Wei‐en , Weiner, Michael W. , Xie, Fang , Young, Christina B. , Yun, M R

JAMA | July 13, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.1001/jama.2026.13116 | PMID 42441390 Get It

Importance Amyloid positron emission tomography (PET) is increasingly used in research and clinical settings to determine the etiology of cognitive decline and eligibility for amyloid-targeting therapies. To assist with amyloid PET evaluation and to guide clinical decision-making, images can be quantified in a standardized unit called Centiloid, the interpretation of which can vary according to the method and threshold used. Objective To collect Centiloid values from available studies and determine robust positivity cutoffs using data-driven methods and correspondence with visual reads. Data Sources PubMed search (October 2024) identified studies with Centiloid values. Corresponding authors were invited to share individual participant data. Additional data were obtained through access-controlled repositories and conference outreach (July 2024-July 2025). Study Selection Studies were included if they provided Centiloids, radiotracer, age, and sex. Data Extraction and Synthesis Each study was analyzed using a unified statistical pipeline; study estimates were pooled using random-effects meta-analysis. Main Outcomes and Measures Gaussian mixture models (GMMs) were fitted to Centiloid values for each study. In studies with a bimodal distribution (per integrated completed likelihood), single cutoffs for positivity were set as mean plus 2 SDs of the lower gaussian component. Using GMMs, a double-cutoff approach defined a lower certainty range using a 90% posterior probability cutoff for assignment to the low (amyloid-negative) vs high (amyloid-positive) component. An alternative Centiloid cutoff was derived from maximizing the correspondence (Cohen κ) with the binary visual reads when available. Results This meta-analysis included cross-sectional amyloid PET scans acquired with 5 radiotracers from 49 227 participants across 53 studies from 15 countries (mean age, 71 years; 54% female, 62% cognitively impaired). The data-driven GMM approach identified a bimodal distribution in 51 studies (n = 48 786), resulting in a single cutoff for positivity of 18 Centiloids (95% CI,16-19; I 2 = 97%). The double-cutoff approach revealed high confidence for interpreting scans as negative when Centiloid values were lower than 11 (95% CI, 9-13; I 2 = 95%) and interpreting scans as positive if Centiloid values were higher than 26 (95% CI, 24-28; I 2 = 95%). In analyses of correspondence with binary (positive or negative) visual reads of amyloid PET scans (n = 35 045; 36 studies), Centiloids were highly predictive of visual positivity (Cohen κ, 0.86; 95% CI, 0.83-0.89; I 2 = 96%) with a cutoff of 27 Centiloids (95% CI, 24-30; I 2 = 80%). Conclusions and Relevance In this individual participant data meta-analysis, positivity cutoffs converged around 18 Centiloids (data-driven) and 27 Centiloids (visual reads). Findings from a double-cutoff analysis suggest that scans in the 11 to 26 Centiloid range should be interpreted with caution depending on the context of use.
Age, Multidomain Lifestyle Intervention, and White Matter Integrity
Maillard, P, Vemuri, Prashanthi, Harvey, Danielle J., Harrison, Theresa M., Reddy, Ashritha L., Oh, Hwamee, Salloway, Stephen, Holland, Thomas M., Rw, Whitmer, Espeland, M A, Baker, Laura D. , Landau, Susan M., DeCarli, Charles, Harvey, Danielle , Harvey, Danielle J , Maillard, Pauline , Vemuri, Prashanthi , Harrison, Theresa M. , Oh, Hwamee , Salloway, Stephen , Mahinrad, Simin , Holland, Thomas Monroe , Whitmer, Rachel A. , Landau, Susan , DeCarli, Charles

JAMA Network Open | July 13, 2026 | Volume: 9 | Issue: 7 | Pages: e2620353

10.1001/jamanetworkopen.2026.20353 | PMID 42438415 Get It

Importance Multidomain lifestyle interventions slow cognitive decline in at-risk older adults, but effects on cerebrovascular injury and whether any effect differs by age or across magnetic resonance imaging (MRI) markers remain unclear. Objectives To test whether a structured multidomain lifestyle intervention, vs a self-guided program, alters trajectories of cerebrovascular MRI markers and whether baseline diffusion MRI estimates subsequent vascular injury. Design, Setting, and Participants POINTER Imaging was a prespecified secondary imaging analysis of the US POINTER (US Study to Protect Brain Health Through Lifestyle Intervention to Reduce Risk) randomized clinical trial conducted at multiple US sites. Starting August 1, 2020, and continuing until March 1, 2023, all newly enrolled US POINTER trial participants who met criteria, including being 60 to 79 years of age and at increased risk for cognitive decline, were given the opportunity to enroll in POINTER Imaging. Annual MRIs were performed at baseline and up to 2 follow-up visits at 12 and 24 months. The imaging study ended May 14, 2025. Interventions Structured multidomain lifestyle arm (supervised exercise, dietary counseling, cognitive and social engagement, and health coaching) vs self-guided educational arm. Main Outcomes and Measures Primary outcomes were cerebrovascular MRI markers of global white matter free water (FW), fractional anisotropy (FA), peak width of skeletonized mean diffusivity (PSMD), analysis along the perivascular space (ALPS) index, white matter hyperintensity (WMH) volume, and incident cerebral microbleeds (CMBs). Age-group analyses (<70 vs ≥70 years) were prespecified. Linear mixed-effects models tested time, intervention arm, age group, and interactions for continuous outcomes; logistic regression evaluated incident CMBs. All analyses were adjusted for sex, hypertension, diabetes, and smoking and were conducted for the evaluable population. Data were analyzed September 5 to December 11, 2025. Results For 959 participants included in the analysis, the mean (SD) age was 68 (5) years, and 594 (61.9%) were female. A significant time × arm × age group interaction was observed for FW (β = 0.050; SE = 0.018; P = .006). In participants younger than 70 years, the structured intervention, compared with the self-guided intervention, attenuated the FW increase over time (β = −0.031; SE = 0.012; P = .009); no intervention arm difference was observed in participants aged 70 years or older (β = 0.019; SE = 0.014; P = .18). No intervention-related interactions were detected (eg, time × intervention arm interaction) for WMH (β = 0.002; SE = 0.016; P = .90), FA (β = 0.016; SE = 0.016; P = .30), PSMD (β = −0.011; SE = 0.021; P = .60), or ALPS (β = 0.006; SE = 0.021; P = .79). Overall, greater odds of incident CMBs were associated with higher baseline FW (odds ratio, 1.63 [95% CI, 1.24-2.14]; P < .001) and PSMD (odds ratio, 1.40 [95% CI, 1.08-1.81]; P < .001). Greater WMH progression was associated with higher baseline FW (β = 0.014; SE = 0.006; P = .02) and lower baseline FA (β = −0.018; SE = 0.006; P = .004). Conclusions and Relevance In this secondary imaging analysis of a randomized clinical trial, FW was the cerebrovascular MRI marker most responsive to lifestyle intervention in adults 60 to 70 years of age, showing attenuated small-vessel disease–related injury. Findings suggested greater microvascular benefit when intensive lifestyle intervention is implemented earlier in late life. Trial Registration ClinicalTrials.gov Identifier: NCT03688126
Evaluating MAPT p.A152T as a risk factor for the 3R tauopathy Pick’s disease
Tamvaka, Nicole , Scotton, William J. , Lilley, Meredith T. , Shoai, Maryam , Gavrielatos, Marios , HECKMAN, M, Roemer, Shanu F, Baker, Matthew C, Rademakers, Rosa, Hardy, John , Cook, Casey , Lashley, Tammaryn , Jaunmuktane, Zane, Mok, Kin, Revesz, Tamas, Christopher, Elizabeth, DeTure, Michael, Koga, Shunsuke, Graff-Radford, Neill R, Boeve, Bradley F, Josephs, Keith A. , Petersen, Ronald C, Whitwell, Jennifer , Duara, Ranjan, Lyons, Kelly E, Miller, Bruce, Schlereth, Athena, Spina, Salvatore, Irwin, David J, Wolk, David A, Suh, EunRan, Deerlin, Vivianna M Van, Lee, Edward B, Frosch, Matthew P. , Molina-Porcel, Laura, Aldecoa, Iban, Balasa, Mircea, Borrego-Ecija, Sergi, Sanchez-Valle, Raquel, Gascón‐Bayarri, Jordi , Sanz-Cartagena, Pilar , Huélamo, Rosa Maria de Eugenio, Gefen, Tamar, Castellani, Rudolph J, Rogalskı, Emily , Weıntraub, Sandra , Bieniek, Kevin F, Zhu, Xiongwei, Redding-Ochoa, Javier, Troncoso, Juan C. , Ghetti, Bernardino, Newell, Kathy L. , Jacobsen, Max, Roncaroli, Federico, Jones, Matthew, Richardson, Anna, Snowden, Julie, Allinson, Kieren, Beach, Thomas G, Teich, Andrew F, Flowers, Xena, Heaps, Allison C, Leskinen, Sandra , Keith, Julia , Masellis, Mario, King, Andrew, Sarraj, Safa-Al, Hodges, John R. , Gearing, Marla , Roeber, Sigrun, Attems, Johannes, Boluda, Susana , Seilhean, Danielle, Ber, Isabelle Le, Turbant-Leclere, Sabrina, Mackenzie, Ian R. , Sieben, Anne, Cras, Patrick , Vil, Bart B De, Deyn, P P De, Keene, C Dirk, Latimer, Caitlin S. , Schantz, Aimee, Bird, Thomas D, Haroutunian, Vahram, Purohit, Dushyant, Rissman, Robert, Cykowski, Matthew D. , Wang, Shih-Hsiu J, Ervin, John F. , Nennesmo, Inger , Nagra, Rashed M. , Riehl, James, Kovacs, Gabor G, Neumann, Manuela, Ang, Lee-Cyn, Cunha, Cristina, Blauwendraat, Cornelis , Nalls, Mike A., Singleton, Andrew B, Perrin, Richard J. , Chaffee, Anne M, Scotton, William , Murray, Melissa E , Dickson, Dennis W , Ross, Owen A , Hardy, John , Shoai, Maryam , Lashley, Tammaryn , Heckman, Michael G. , Soto‐Beasley, Alexandra I. , Roemer, Shanu F. , Rademakers, Rosa , Murray, Melissa E. , Dickson, Dennis W. , Rohrer, Jonathan D. , Ross, Owen A. , Valentino, Rebecca R. , Macpherson, Hannah L. , Warner, Thomas T. , Jaunmuktane, Zane , Martínez-Carrasco, Alejandro , Revesz, Tamas, DeTure, Michael , Koga, Shunsuke , Graff‐Radford, Neill R. , Boeve, Bradley F. , Petersen, Ronald C. , Duara, Ranjan, Pahwa, Rajesh , Grinberg, Lea T. , Seeley, William W. , Miller, Bruce L , Spina, Salvatore , Suh, EunRan , Deerlin, Vivianna M. Van , Connors, Theresa R. , Oakley, Derek H. , Molina‐Porcel, Laura , Aldecoa, Ibán , Balasa, Mircea , Borrego‐Écija, Sergi , Sánchez‐Valle, Raquel , Piñol‐Ripoll, Gerard , Gelpí, Ellen , Gefen, Tamar , Castellani, Rudolph J. , Flanagan, Margaret E. , Schneider, Julie A. , Bieniek, Kevin F. , Redding‐Ochoa, Javier , Chang, Koping , Prokop, Stefan , Ghetti, Bernardino, Robinson, Andrew , Roncaroli, Federico , Kobylecki, Christopher , Richardson, Anna, Rowe, James B. , Quaegebeur, Annelies , Allinson, Kieren Simon James, Beach, Thomas G. , Serrano, Geidy E. , Teich, Andrew F. , Black, Sandra E. , Masellis, Mario, Troakes, Claire , Halliday, Glenda M. , Kril, Jillian J. , Kwok, John B. , Piguet, Olivier , Morris, Christopher M. , Thomas, Alan , White, Charles L. , Evers, Bret M. , Mechawar, Naguib , Seilhean, Danielle , Ber, Isabelle Le , Leclère-Turbant, Sabrina, Vil, Bart De , Deyn, Peter Paul De , Keene, C Dirk, Haroutunian, Vahram , Purohit, Dushyant P. , Walker, Jamie M. , Rissman, Robert A. , McLean, Catriona , Graff, Caroline , Riehl, James R. , Giaccone, Giorgio , Neumann, Manuela , Finger, Elizabeth C. , Carvalho, Agostinho , Morris, Huw R. , Singleton, Andrew B, Vitale, Dan , Chaffee, Ann, Wszołek, Zbigniew K.

Brain Communications | July 9, 2026 | Volume: 8 | Issue: 4 | Pages: No page available

10.1093/braincomms/fcag266 | PMID 42553595 Get It

Abstract Genetic studies have significantly advanced our understanding of tauopathies, yet the genetic aetiology of Pick’s disease, a rare 3-Repeat tauopathy, remains unclear. The MAPT p.A152T variant has been identified as a risk factor for Alzheimer’s disease and progressive supranuclear palsy, but its role in Pick’s disease is unknown. In this study, we examined the prevalence of MAPT p.A152T in the largest series of neuropathologically confirmed Pick’s disease cases to date (n = 401). Through genotyping, we identified a single mutation carrier in the Pick’s disease cohort (minor allele frequency = 0.12%). We previously reported MAPT p.A152T at a 0.20% frequency in healthy controls (n = 2456), suggesting that it does not associate with 3-Repeat tauopathy risk. To further investigate the effect of the variant on MAPT transcript expression, we used bulk RNA sequencing in Alzheimer’s disease and progressive supranuclear palsy A152T mutation carriers. We did not detect significant differences in 4-Repeat tau levels, though preliminary trends may indicate more nuanced effects that need to be examined with long-read sequencing in a larger series. Overall, our study suggests that MAPT p.A152T does not increase Pick’s disease risk and may instead be linked to 4-Repeat or mixed tau pathologies, warranting further functional investigation.
Consensus Guidelines for Staging and Surveillance Imaging in Cutaneous Squamous Cell Carcinoma
Kassamali, Bina , Schoenfeld, Jonathan D., Sethi, Rosh, Bakst, R H, Barker, C. A., Bradford, Carol R., Carr, David R., Chandra, Sunandana , Connolly, Karen L., Demer, Addison M. , Doonan, Bently, Emerick, Kevin, Friedman, Ben J. , Gali, Linna L., Galloway, Thomas J., Geiger, Jessica L., Kohen, Laurie, Koyfman, Shlomo, Kumar, Shweta Sharat, Learned, Kim O. , Leitenberger, Justin J., Lilley, Elizabeth J. , Lukens, John N. , Medina, Theresa , Mitra, Devarati , Ozog, David, Pashtan, Itai, Pham, Nancy , Powers, Molly, Srivastava, Divya, Taylor, Charlotte S., Witek, Matthew E. , Wysong, Ashley, Zander, David, Silk, Ann W., Jambusaria-Pahlajani, Anokhi, Ruiz, Emily S., Chen, Michelle , Kumar, Shweta S. , Schoenfeld, Jonathan D. , Barker, Christopher A. , Bhatt, Alok A. , Bradford, Carol R. , Bunch, Paul M. , Carr, David R., Carucci, John A. , Chen, Michelle , Connolly, Karen , Doonan, Bently P. , Emerick, Kevin S. , Friedman, Ben J. , Galloway, Thomas J. , Guenette, Jeffrey P. , Kelly, Hillary R. , Khushalani, Nikhil I. , Kohen, Laurie Linden, Leitenberger, Justin J. , Medina, Theresa M. , Pashtan, Itai , Patel, Vishal Anil , Srivastava, Divya , Swiecicki, Paul Loren , Wysong, Ashley, Silk, Ann Willman , Jambusaria‐Pahlajani, Anokhi , Ruiz, Emily S.

JAMA Dermatology | July 8, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.1001/jamadermatol.2026.2163 | PMID 42418212 Get It

Importance There is no consensus on staging and surveillance imaging for cutaneous squamous cell carcinoma (CSCC). Although imaging has been shown to affect management, broad recommendations from the National Comprehensive Cancer Network have led to variability in clinical practice. Objective To develop multidisciplinary consensus recommendations on the use of staging and surveillance imaging of localized CSCC. Evidence Review A multidisciplinary expert panel across academic and clinical practice settings convened a Delphi consensus, with 3 iterative survey rounds from January to June 2025. Data were analyzed from February 2025 to January 2026. Eligibility defined by at least 1 to 2 CSCC publications during the previous 5 years, involvement in a relevant clinical trial, experience treating at least 3 patients monthly with CSCC, and/or 5 years or longer of clinical practice. Fifty-four experts were invited and 45 (83%) completed all 3 rounds and were included in the final analysis. Structured Delphi surveys evaluated clinical scenarios, imaging modalities, and surveillance strategies for CSCC. Consensus and near-consensus recommendations were generated, defined as 80% or greater and 70% to 79% agreement, respectively. Findings The 45 participants (21 female individuals [47%] and 24 male individuals [53%]; 14 Asian individuals [31%], 1 multiracial individual [2%], and 30 White individuals [67%]) consisted of dermatology (15 [33%]), medical oncology (7 [16%]), radiation oncology (9 [20%]), radiology (9 [20%]), surgery (3 [7%]), and otolaryngology specialists (2 [4%]). The Delphi panel recommended staging and surveillance for CSCCs with at least a 15% risk of metastasis. Consensus or near consensus was reached to recommend staging and surveillance imaging for tumors with a concern for metastasis, bone invasion, invasion beyond subcutaneous fat, large-caliber nerve invasion, or a diameter of 4 cm or larger or the combination of tumors with poorly differentiated histology and any of the following: diameter of 2 cm or larger, lymphovascular invasion and subcutaneous fat invasion, or lymphovascular invasion and small-caliber perineural invasion. Computed tomography imaging was the preferred modality for nodal staging (38 [84%]) and surveillance (35 [78%]). For surveillance duration, consensus was reached to provide imaging for at least 2 years, and near consensus was reached for at least 3 years. Conclusions and Relevance This study provides an expert consensus–based framework to standardize imaging in localized CSCC that may inform future guidelines.
Comparing those Most Satisfied Versus Least Satisfied Following Surgery for Cervical Spondylotic Myelopathy
Chan, Andrew K., Park, Christine , Shaffrey, Christopher I., Gottfried, Oren N., Than, Khoi D., Ef, Bisson, Williamson, Theresa , Bydon, Mohamad, Asher, Anthony L. , Coric, Domagoj , Potts, Eric A., Foley, Kevin T., Wang, Michael Y., Fu, Kai-Ming, Virk, Michael S. , Knightly, John J. , Meyer, Scott, Park, Paul, Upadhyaya, Cheerag, Yen, Chun-Po, Uribe, Juan S., Tumialán, Luis M., Turner, Jay, Chou, Dean, Haid, Regis W., Mummaneni, Praveen V., Chan, Andrew K. , Shaffrey, Christopher I. , Than, Khoi D. , Bisson, Erica F. , Bydon, Mohamad , Potts, Eric A. , Foley, Kevin T. , Wang, Michael Y. , Fu, Kai-Ming, Meyer, Scott, Yen, Chun-Po , Uribe, Juan S. , Tumialán, Luis M. , Turner, Jay D. , Chou, Dean , Mummaneni, Praveen V.

Spine | July 3, 2026 | Volume: 51 | Issue: 15 | Pages: 1093-1100

10.1097/brs.0000000000005402 | PMID 42398026 Get It

Study Design. Post hoc analysis of prospectively-collected data. Objective. To identify factors predicting the most (and least) satisfaction following surgery for cervical spondylotic myelopathy (CSM). Summary of Background Data. Patient satisfaction affects long-term outcomes after surgery but the preoperative factors that influence postoperative satisfaction have not been well studied in patients with CSM. Methods. We conducted a post hoc analysis of prospectively-collected data from the Quality Outcomes Database (QOD) CSM registry cohort. Baseline and surgical characteristics were compared for patients with CSM reporting the most [North American Spine Society Satisfaction Score (NASS) 1] and least (NASS 4) satisfaction 24 months postoperatively. A multivariable logistic regression model was constructed using backward stepwise elimination to determine significant predictors of most versus least satisfaction. Twenty-four-month patient-reported outcomes (PROs) were compared. Results. Overall, 1141 patients were prospectively enrolled with 948 (83.1%) reaching 24-month follow-up. Of these, 699 met prespecified inclusion criteria: 610 (87.3%) were most satisfied and 89 (12.7%) were least satisfied. Though there were mean improvements in all 24-month PROs for the most satisfied cohort ( P <0.001), there were no significant improvements in 24-month PROs for the least satisfied cohort ( P >0.05). Using multivariable logistic regression modeling, a preoperative symptom of upper extremity weakness (OR=2.5, P =0.003), subjective myelopathy (OR=2.0, P =0.04), absence of numbness complaints (OR=2.2, P =0.003), symptom duration under 12 months (OR=1.6, P =0.047), Caucasian race (OR=2.3, P =0.001), participation in activities outside of the home (OR=2.0, P =0.04), anterior approach (OR=2.3, P <0.001), and higher baseline quality of life (OR=4.0, P =0.01) were predictive of the most satisfaction. Conclusion. Compared with the least satisfied, those most satisfied following surgery for CSM more often had a preoperative symptom of arm weakness, subjective myelopathy, the absence of numbness complaints, symptom duration under 12 months, higher baseline quality of life, and participation in activities outside of the home. Compared with a posterior approach, an anterior approach was associated with the most satisfaction. Taken together, early surgical treatment--before myelopathic symptoms significantly impact one's quality of life--may be considered to optimize patient satisfaction following CSM surgery.
Combining post-mortem and neuroimaging measures of brain amyloidosis to accelerate genomic discovery
Wang, Ting‐Chen , Ali, Muhammad, Wu, Yiyang , Mormino, Elizabeth, Buckley, Rachel F. , Saykin, Andrew J, Jager, Philip L. De , Schneider, Julie A, Vardarajan, Badri, Mayeux, Richard, Kunkle, Brian W, Keene, C Dirk, Seshadri, S, Sperling, Reisa A, Kamboh, M Ilyas, Jagust, William J. , Schellenberg, Gerard D, Huentelman, MJ, Hamilton-Nelson, Kara, Pericak-Vance, Margaret A, Haines, Jonathan L, Montine, Thomas J, Beecham, Gary, Archer, Derek , Wu, Yiyang , Buckley, Rachel F , De Jager, Philip L , Bennett, David A. , Barnes, Lisa L , Bush, William S , Vemuri, Prashanthi , Ramanan, Vijay K , Harrison, Theresa M , Jagust, William J , Laws, Simon M , Below, Jennifer E , Cruchaga, Carlos , Seto, Mabel , Dumitrescu, Logan , Archer, Derek B. , Ali, Muhammad , Mormino, Elizabeth C. , Lee, Annie , Saykin, Andrew J. , Schneider, Julie A. , Bennett, David A. , Barnes, Lisa L. , Vardarajan, Badri Narayan , Mayeux, Richard , Kunkle, Brian W. , Bush, William S. , Keene, C Dirk, Sperling, Reisa Anne , Vemuri, Prashanthi , Ramanan, Vijay K. , Kamboh, M. Ilyas , Harrison, Theresa M. , Schellenberg, Gerard D. , Hamilton‐Nelson, Kara L. , Pericak‐Vance, Margaret A. , Goate, Alison , Haines, Jonathan L. , Montine, Thomas J. , Beecham, Gary W. , Hohman, Timothy J. , Dumitrescu, Logan

Brain | June 23, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.1093/brain/awag216 | PMID 42334898 Get It

Abstract Histopathological assessment has served as the gold standard for diagnosing Alzheimer’s disease (AD). Emerging technological advancements, including the development of amyloid positron emission tomography (PET), have enabled early detection of amyloid pathology, one of the neuropathological hallmarks of AD. Genome-wide association study (GWAS) across cohorts of aging and AD, leveraging different measurements of amyloid burden, may facilitate the identification of novel genetic variants that drive the earliest neuropathological changes in AD. This study presents the largest GWAS of brain amyloidosis to date, leveraging amyloid β (Aβ) measured by in vivo amyloid PET and postmortem histopathology from 13,555 individuals of European ancestry. Amyloid positivity was defined as moderate or frequent neuritic plaques according to the Consortium to Establish a Registry for Alzheimer’s Disease (CERAD) staging scores for each postmortem cohort. A Gaussian mixture model (GMM) was applied to each amyloid PET cohort to identify the cohort and tracer-specific cut-offs that differentiate amyloid positive and negative populations. In silico and ex vivo analyses further characterized implicated loci, including interrogating the association between bulk and single-nucleus gene expression profiles and AD-related traits. Genetic covariance analysis assessed the extent amyloid PET and postmortem measures reflect the shared genetic architecture of brain amyloidosis. Our combined amyloidosis GWAS identified three established AD risk loci: BIN1 (rs6733839, OR = 1.20, 95% CI 1.14-1.26, P = 1.32 × 10−11), CR1 (rs4844610, OR = 1.24, 95% CI = 1.16-1.32, P = 4.21 × 10−10), APOE (rs429358, OR = 4.01, 95% CI = 3.66-4.38, P = 4.54 × 10−201), and a newly identified brain amyloidosis-associated variant on chromosome 17 (rs35635959, OR = 1.18, 95% CI = 1.12-1.25, P = 1.47 × 10−8). SuSiE fine-mapping identified a single credible set of 15 putative causal variants with rs35635959 as the lead variant. Subsequent eQTL and SuSiE-based colocalization analyses prioritized rs35635959 as a strong eQTL for TUBG2, encoding tubulin gamma 2, which is involved in microtubule organization and synaptic plasticity. Further cell-type-specific characterization of this gene in neurons from dorsolateral prefrontal cortex tissue indicated that decreased TUBG2 expression was associated with increased Aβ burden and AD case status (PFDR &lt; 0.045). Furthermore, our study is the first to report a modest genetic covariance (covariance=0.17, P &lt; 6.54 × 10−8) between the genetic architecture of amyloid burden captured by different modalities. While APOE showed a strong association with both amyloid endophenotypes, the observed genetic covariance was not substantially attenuated after excluding variants within the APOE region (covariance=0.16, P &lt; 1.32 × 10−7). Our results highlight the benefits of leveraging compatible, harmonized AD endophenotypes to increase power to uncover new molecular insights into the etiology of AD neuropathology. Wang et al. present the largest GWAS of brain amyloidosis to date, analysing 13,555 individuals using amyloid PET and postmortem Aβ measures. They identify a novel amyloidosis-associated variant on chromosome 17, demonstrate genetic covariance between modalities, and highlight complex traits sharing genetic architecture with Aβ burden.
Development of a Core Outcome Domain Set for Facial Aging
Dirr, McKenzie A. , Ahmed, Areeba, Schlessinger, Daniel I., Lazaro-Camp, Vanessa, Smith, SJ, Gullapalli, Thanvi, Dragovic, Doroteja, Chang, Joycie, Zhang, Elizabeth, Alam, Murad, Group, Facial Aging Core Outcome Domain Set Study, Anvery, Noor , Kang, Bianca Y. , Wong, Clarissa, Iyengar, Sanjana, Yanes, Arianna F. , Cotseones, Jill, Ashchyan, Hovik J. , Patel, P. M., Sheikh, Umar A., Franklin, Matthew , Hanna, Courtney, Chiren, Sarah G., Schmitt, J, Furlan, Karina C., Alexiades, Macrene, Alhusayen, Raed, Alster, Tina S. , Beer, Kenneth, Bertucci, Vince , Bloom, Jason D. , Briceño, César A., Bucay, Vivian, Butterwick, Kimberly J., Hugues, Cartier, Casabona, Gabriela, Connolly, Karen , Cox, Sue Ellen , Darmanescu, Monica, Boulle, Koenraad De , Desai, Shraddha, Donofrio, Lisa, Dover, Jeffrey S., Draelos, Zoe, Eisen, Daniel B. , El-Domyati, Moetaz, El-Garem, Yehia, Fischer, John, Fitzgerald, Rebecca, GALADARI, Hassan, Gladstone, Hayes B., Goldman, Mitchel P., Goodman, Greg J., Hanke, C. William , Humphrey, Shannon, Ibrahim, Sherrif F., Jagdeo, Jared, Karen, Julie, Kauvar, Arielle, Ag, Kibbi, KIM, JENNY, Lacerda, D T D, Lask, G, Lopez, Grace M., Lupo, Mary P. , Mariwalla, Kavita , Matarasso, Seth, Mekokishvili, L, Narins, Rhoda S., Ogilvie, P, Orringer, Jeffrey S. , Osaki, Tammy H. , Ozog, David, Pacheco, Theresa, Polder, Kristel, Rossi, Anthony M, Sadick, Neil, Saedi, Nazanin, Schlessinger, Joel, Sharad, Jaishree , Shenoy, SuchitraM, Sinclair, Rd, Solish, Nowell, Piansay‐Soriano, Miriam Emily , Sulyman, Omotara , Szeimies, Rolf‐Markus , Tanzi, Elizabeth L., Taub, Amy Forman , Taylor, Mark B., Thomas, J. Regan, Torezan, Luis, Tosti, Antonella, Touma, Dany, Almeida, Ada Regina Trindade de , Vedamurthy, Maya , Viana, Giovanni, Waldman, Abigail, Weinkle, Susan, Weiss, Robert, Poon, Emily, Cartee, Todd V. , Sobanko, Joseph F. , Eisen, Daniel B. , Ahmed, Areeba , Schlessinger, Daniel Isaac , Lazaro-Camp, Vanessa J, Christensen, Rachel E. , Ibrahim, Sarah A. , Cotseones, J.K., Umar, Sheikh Ahmad , Furlan, Karina Colossi , Alexiades, Macrene , Alhusayen, Raed , Beer, Kenneth Robert, Briceño, César Augusto , Bucay, Vivian , Casabona, Gabriela , Cotofana, Sebastian , Desai, Shraddha , Dover, Jeffrey S. , Draelos, Zoe Diana , Eisen, Daniel B., El-Domyati, Moetaz M. , El-Garem, Yehia, Fitzgerald, Rebecca, Friedmann, Daniel P. , Galadari, Hassan , Gladstone, Hayes B., Goldman, Mitchel P. , Goodman, Greg , Green, Jeremy B. , Halachmi, Shlomit , Humphrey, Shannon , Jagdeo, Jared R. , Jiang, Shang I. Brian , Kauvar, Arielle N.B. , Kibbi, Abdul‐Ghani , Kim, John V. S., LASK, GARY P., Matarasso, Seth L., Narins, Rhoda S., Ogilvie, Patricia , Osaki, Tammy H. , Pacheco, Theresa , Polder, Kristel D., Saedi, Nazanin, Shenoy, Manjunath , Sinclair, Rod, Solish, Nowell , Torezan, Luís , Tosti, Antonellá , Waldman, Abigail , Weiss, Robert, Maher, Ian A. , Kirkham, Jamie J

JAMA Dermatology | June 17, 2026 | Volume: 162 | Issue: 8 | Pages: 829

10.1001/jamadermatol.2026.1697 | PMID 42307924 Get It

Importance Currently, there are no standardized outcome domains or measures in clinical trials for facial aging. Heterogeneity in outcome domains and measurement instruments across clinical trials creates difficulty in directly comparing interventions, determining superior therapies, and developing high-quality meta-analyses. Objective To develop a core outcome set (COS) of essential domains to be reported in clinical trials evaluating the efficacy of interventions for facial aging. Evidence Review PubMed/Medline, Embase, Cochrane Central Register of Controlled Trials, and CINAHL were searched from September 2005 to September 2015. An updated search of the same databases was performed from September 2015 to February 2026. Studies were included if (1) they were randomized clinical trial or controlled clinical trial in design, (2) they assessed the efficacy or safety of an intervention for facial aging, (3) they were published in English, and (4) they involved human participants. Complementary sources, including patient interviews, were used to capture further relevant outcomes. Two rounds of Delphi surveys, followed by consensus meetings, were used to identify outcome domains considered most important by both patient and physician stakeholders. Findings The final COS consists of 6 outcome domains: (1) overall convenience of treatment; (2) time to return to normal work and social activity; (3) overall assessment of focused area of treatment (at the point in time when treatment is expected to provide peak benefit); (4) duration of treatment effect; (5) severity of persistent local or systemic adverse events, including pigmentary change, skin texture change, delayed healing, scarring, and serious adverse events; and (6) patient satisfaction with treatment. Conclusions and Relevance The 6 outcome domains identified through a Delphi consensus are recommended for reporting in future facial aging trials to ensure that outcomes that matter most to patients and clinicians are measured and that results are comparable across interventions.