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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 < 0.045). Furthermore, our study is the first to report a modest genetic covariance (covariance=0.17, P < 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 < 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.
Clinical Associations of Cerebrospinal Fluid TMEM106B in Familial and Sporadic Frontotemporal Dementia
Olzinski, Molly, Downer, Joshua, Rajbanshi, Binita, Li, Jingyao, Loureiro, Joseph, Heuer, Hilary, Ljubenkov, Peter, Vandevrede, Lawren, Staffaroni, Adam, Lario‐Lago, Argentina, Leichter, Dana, Wolf, Amy, Wise, Amy, Sanderson-Cimino, Mark, Barragan, Eden, Spina, S, Grinberg, Lea T., Seeley, William W., Casaletto, Kaitlin B., Kramer, Joel, Ramos, Eilana, Geschwind, Daniel, Cook, Casey, Petrucelli, L, Forsberg, Leah K., Gendron, Tania, Boeve, Bradley F., Rademakers, Rosa, Rosen, Howard J., Saloner, Rowan, Boxer, Adam L., Rojas, Julio C., Abdullah, M. Samy, Apostolova, Liana, Appleby, Brian, Bayram, Ece, Hp, Botha, Bozoki, Andrea, Brushaber, Danielle, Clark, David, Considine, Ciaran M., Darby, R. Ryan, Day, Gregory S., Dickerson, Bradford C., Dickson, Dennis, Domoto-Reilly, Kimiko, Dwosh, Emily, Faber, Kelley M., Fields, Julie A. , Fong, Jamie C., Foroud, Tatiana, Galasko, Douglas R., Gavrilova, Ralitza, Ghoshal, Nupur , Goldman, Jill, Graff-Radford, Jonathan, Graff-Radford, Neill, Grant, Ian M., Cn, Hales, Honig, Lawrence S., Gd, Hsiung, Huey, Edward D, Irwin, David, Jones, David T., Kantarci, Kejal, Knopman, David, Kolander, Tyler , Kornak, J M, Kremers, W., Kwan, Justin , Lapid, Maria, Lee, Suzee, Litvan, Irene, Lucente, Diane, Mackenzie, Ian R., Masdeu, J C, Massimo, Lauren, McGinnis, Scott, McMillan, Corey T., Mendez, Mario F., Mester, Carly, Miyagawa, Toji , Molden, Joie, Onyike, Chiadi, Pantelyat, Alexander, Pascual, Belen, Paulson, Henry, Ramanan, Vijay, Rankin, Katherine P., Rascovsky, Katya, Rhoads, Kristoffer , Savica, Rodolfo, Snyder, Allison, Sullivan, A. Campbell, Syrjanen, Jeremy, Tartaglia, M, Taylor, Jack, Tipton, P E, WEINTRAUB, S, Wint, Dylan, Wong, Bonnie, Yokoyama, Jennifer, Paulson, Henry L. , Barmada, Sami J. , Paulson, Henry L , Barmada, Sami , Cobigo, Yann , Worringer, Kathleen A. , Heuer, Hilary W. , VandeVrede, Lawren , Staffaroni, Adam M. , Wolf, Amy , Wise, Amy B. , Sanderson‐Cimino, Mark , Barragan, Eden V. , Grinberg, Lea T. , Seeley, William W. , Casaletto, Kaitlin B. , Kramer, Joel, Ramos, Eliana Marisa , Geschwind, Daniel H. , Forsberg, Leah K. , Gendron, Tania F. , Boeve, Bradley F. , Perneel, Jolien , Rademakers, Rosa , Rosen, Howard J. , Saloner, Rowan , Boxer, Adam L. , Rojas, Julio C. , Appleby, Brian S. , Barmada, Sami, Bayram, Ece , Botha, Hugo, Bozoki, Andrea C , Brushaber, Danielle , Clark, David, Considine, Ciaran , Dickerson, Bradford Clark , Dickson, Dennis, Domoto‐Reilly, Kimiko , Dwosh, Emily , Foroud, Tatiana, Graff‐Radford, Jonathan , Graff-Radford, Neill, Hales, Chadwick M., Honig, Lawrence S. , Hsiung, Ging-Yuek R., Huey, Edward D. , Jones, David T., Kantarci, Kejal , Kornak, John , Kremers, Walter, Kwan, Justin, Léger, Gabriel C. , Litvan, Irene , Lucente, Diane , Mackenzie, Ian R. , Massimo, Lauren , McGinnis, Scott, McMillan, Corey T. , Mendez, Mario F. , Mester, Carly , Pascual, Belén , Ramanan, Vijay, Rankin, Katherine P. , Roberson, Erik D. , Savica, Rodolfo , Snyder, Allison , Sullivan, A. Campbell , Syrjanen, Jeremy A. , Taylor, Jack C. , Tipton, Philip W., Vandebergh, Marijne , Weıntraub, Sandra , Wint, Dylan

JAMA Neurology | June 22, 2026 | Volume: 83 | Issue: 8 | Pages: 778

10.1001/jamaneurol.2026.1927 | PMID 42329632 Get It

Importance TMEM106B is a frontotemporal lobar degeneration (FTLD) genetic susceptibility factor, and TMEM106B protein aggregates are a feature of aging and neurodegeneration. Whether TMEM106B protein levels are associated with clinical features is unknown. Objective To investigate the clinical associations of cerebrospinal fluid (CSF) TMEM106B in FTLD. Design, Setting, and Participants This cross-sectional study was conducted in 2 independent frontotemporal dementia (FTD) cohorts (recruitment from April 2009 through July 2023, with analyses from January 2025 through April 2026), with a 2-year follow up. This multicenter clinical study integrated clinical, genetic, biomarker, and neuroimaging data. Individuals were recruited through the University of California, San Francisco (n = 3733), or ALLFTD (n = 2343). Participants with available CSF were included. A discovery cohort (n = 271) included participants with sporadic neuropathology-confirmed FTLD; presymptomatic or symptomatic carriers of pathogenic variants in C9orf72 , GRN , or MAPT ; or controls. An independent validation cohort (n = 383) included participants with clinically diagnosed sporadic FTD, Alzheimer disease (AD), and controls. Exposures CSF samples for TMEM106B quantification with aptamer proteomics (SomaScan version 3.0 [discovery cohort] and SomaScan version 4.1 [validation cohort]). Main Outcomes and Measures Parametric tests compared the primary outcome, CSF TMEM106B, by disease severity, TMEM106B rs1990622 genotype, sex, clinical syndrome, pathological diagnosis, and pathogenic variant and determined associations with brain volume. Results In the discovery (n = 271; 136 women [51%]; median [IQR] age, 59 [38-80] years) and validation (n = 383; 183 women [48%]; median [IQR] age, 64 [50-78] years) cohorts, lower CSF TMEM106B was associated with more severe disease (β, −0.15; 95% CI, −0.24 to −0.04; P = .003), lower frontotemporal brain volumes (β, 0.42; 95% CI, 0.24-0.61; P < .001), and faster clinical progression (β, −2.21; 95% CI, −3.70 to −0.72; P = .001). Associations of TMEM106B with clinical disease severity were independent of those with neurofilament light chain. TMEM106B levels were influenced by TMEM106B rs1990622 genotype, where individuals with the protective G/G genotype had lower levels than the risk A/A genotype. CSF TMEM106B levels did not differentiate between FTLD subtypes or between FTLD and AD. Conclusions and Relevance Per the results of this cross-sectional study, TMEM106B is detectable in CSF and levels reflect disease severity in sporadic and genetic FTLD and AD, but levels are also influenced by the TMEM106B rs1990622 genotype. CSF TMEM106B could support further studies to understand the mechanisms of disease and develop clinical tools in FTLD and other neurodegenerative diseases.
A75-20 Analysis of Data From a Prospective Medicare Approved Clinical Trial Registry Indicates That Use of Maintenance Extracorporeal Photopheresis Is Independently Associated With Enhanced Survival of Lung Allograft Recipients Who Have Developed Life-Thre
Despotis, G J, Hachem, R R, Hage, C A, Walia, R, Goldberg, H J, Patel, M, Reynolds, J M, Klesney-Tait, J, Arcasoy, S M, Naik, C, Simone, N De, Usmani, A, Girgis, R E, Cordova, F C, Keller, B C, Nunley, D R, Javanbakht, A, Patil, J M, Morrell, M R, Lendermon, E A, Huang, H J, Pelaez, A, Emtiazjoo, A, Wille, K M, Chan, K M, Yung, G, Baz, M A, Aryal, S, Banez-Sese, G, Vedantham, S, Derfler, C, Commean, P, Berman, K, Atkinson, A, Atkinson, J J, Prokudin, A, Betensley, A D, Byers, D E, Despotis, G. J., Hachem, Ramsey R. , Hage, C A, Walia, Rajat , Reynolds, J.M., Klesney‐Tait, Julia , Arcasoy, S M, Naik, C., Girgis, Reda E. , Cordova, F C, Keller, Brian C. , Nunley, D R, Patil, Jagadish , Morrell, M R, Lendermon, Elizabeth A. , Huang, H J, Emtiazjoo, A.M., Wille, Keith , Chan, K.M., Yung, G, Baz, Maher A. , Aryal, S, Banez‐Sese, Grace, Vedantham, Suresh , Berman, Keith, Prokudin, A, Betensley, Alan D. , Byers, Derek E.

American Journal of Respiratory and Critical Care Medicine | June 22, 2026 | Volume: 212 | Issue: Supplement_2 | Pages: No page available

10.1093/ajrccm/aamag286.333 Get It

Abstract Rationale This Registry was designed to prospectively evaluate the efficacy of extracorporeal photopheresis (ECP) to arrest the rate of FEV1 decline (FEV1 decline) and prolong survival in lung allograft recipients with Bronchiolitis Obliterans refractory to standard of care therapy. Methods After IRB approval, 258 lung transplant recipients were enrolled from 20 US lung transplant centers. Subjects were assigned to ECP treatment (ECPRx) (i.e., 24 procedures over 6 months) at or a few months after enrollment based on spirometric criteria. Maintenance ECPRx (mECP) was at the discretion of managing clinicians. Rate of FEV1 decline in mL/month (FEV1 decline) was compared between 6 months prior to and 6 & 12 months after ECPRx initiation using linear mixed effects models. Time 0 for survival was set as the start of ECPRx for generation of Kaplan-Meier curves. Hazard Ratios (HR) with 95% confidence intervals (lower-upper) were generated using Cox Proportional Hazards Regression to characterize significant (p < 0.05) independent associations of mECP and/or any other covariates (i.e., demographic, operative, enrollment site, spirometric ) and survival. Results An 89% (78%-96%) decrease in the FEV1 decline was observed 12 months after ECPRx initiation in 191 participants assigned to ECPRx. FEV1 decline (-164 mL/month: 144-185) was greater (p < 0.001) in participants who expired within six months of Time 0 (n = 28) vs participants (-111 mL/month: 101-120) who died six months after Time 0 (n = 77). Of 159 participants who survived for at least six months after ECPRx initiation, 40 participants without mECP, who had up to 24 ECPRx (ECPRx: n = 19), had a lower survival HR: 2.43(1.75-3.4) (p < 0.001) relative to 119 participants who received mECP (ECPRx: n = 86)(see Figure). The response to ECPRx (% Change in FEV1 decline prior to and 6 months after 1st ECP) was similar between subcohorts (No mECP: -81 decrease vs mECP: -85%, p = 0.3). The association of mECP persisted after multivariate adjustment HR 1.8 (1.8-2.7)(p = 0.002) using significant covariates: FEV1 HR 0.37 (0.3-0.5), FEV1 decline HR 0.001 (0.001-0.04), Male Gender HR 2.4 (1.7-3.4); Reflux Disease HR 1.8 (1.2-2.8); Coronary Disease HR 1.8 (1.2-2.7). Conclusions This analysis indicates that mECP is independently associated with enhanced survival most likely due to attenuation of relapse six months after ECP initiation based on similar initial response to ECPRx. A risk-adjusted, control cohort is being pursued to facilitate submission of a scientifically rigorous petition to CMS to expand the ECP National Coverage Decision to include BOS predicated on CMS 2024 scientific guidelines. This abstract is funded by: Therakos Inc
A Regional Community-Based Healthy Lifestyle Intervention Is Associated With Improved Cognitive Performance in Preschoolers With Disabilities
Smith, Latasha, Toussaint, Loren, Lynch, Brian, Toussaint, Loren

International Journal of Disability, Development and Education | June 19, 2026 | Volume: No volume available | Issue: No issue available | Pages: 1-12

10.1080/1034912x.2026.2684965 Get It

Equations in Context: Estimating and Interpreting Cardiorespiratory Fitness
Carlisle, Ashley E., Shapiro, Brian P. , Tayon, Kevin G. , Taylor, Bryan J., Dineen, Elizabeth H.

ACSM'S Health & Fitness Journal | June 18, 2026 | Volume: 30 | Issue: 4 | Pages: 24-30

10.1249/fit.0000000000001172 Get It

Apply It! By reading this article, you will: • Understand how commonly used cardiorespiratory fitness prediction equations can misclassify fitness in both high-performance and clinical populations. • Learn how common prediction equations were developed and why the population of prediction equation studies matters when interpreting estimated cardiorespiratory fitness and percent-predicted values. • Recognize how to critically assess the suitability of a given cardiorespiratory fitness equation based on your client’s or patient’s characteristics.
Thalamocortical seizure onset patterns in drug-resistant focal epilepsy
Simpson, Hugh D. , Křemen, Václav , Sladky, Vladimir , Brinkmann, Benjamin H. , Gregg, Nicholas M. , Lundstrom, Brian N. , Miller, Kai J. , Brinkmann, Benjamin H , Kremen, Vaclav , Lundstrom, Brian Nils , Gregg, Nicholas M , Gompel, Jamie J. Van , Worrell, Gregory A.

Brain Communications | June 18, 2026 | Volume: 8 | Issue: 4 | Pages: No page available

10.1093/braincomms/fcag227 | PMID 42396599 Get It

Abstract Drug-resistant epilepsy affects tens of millions of people worldwide and is associated with considerable morbidity and mortality. Thalamic deep brain stimulation and cortical responsive neurostimulation are proven treatments for focal epilepsy. Both have been used to target a range of thalamic nuclei; yet, the roles of these thalamic nuclei in focal seizure generation remain incompletely understood. Thirteen patients with drug-resistant focal epilepsy undergoing intracranial EEG were consented to undergo investigation of thalamocortical networks. Sampled regions included cortical, mesial temporal, and thalamic brain regions. Visual and spectral analyses were performed to identify seizure onset patterns and correlate thalamic and cortical seizure activity. Thalamic ictal discharges were observed in 89% of seizures. Of these, 56% demonstrated synchronous thalamocortical activity with distinct patterns. These onset patterns included hypersynchronous spiking, low-voltage fast activity, ictal baseline shifts, and broadband suppression. Multiple thalamic nuclei were involved in ictal organization and propagation, with the specific nuclei depending on the cortical seizure network. The thalamus plays a crucial role in focal onset seizure generation and propagation, with distinct seizure onset patterns and nuclei involved. These findings support exploring a broader range of thalamic nuclei in epilepsy neurostimulation and have implications for seizure detection settings in intracranial sensing devices.
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.
Learning Curves and Complexity Evolution in Robotic Liver Surgery
Kuemmerli, Christoph , Hess, Gabriel Fridolin , Billeter, Adrian T. , Benedetto, Fabrizio Di , Odorizzi, Roberta, Sucandy, Iswanto , Aegerter, Noa L. E., Berchtold, Caroline , Bernardi, L. , Cristaudi, Alessandra , Balzano, E , Koh, Ye-Xin, Lin, Charles Chung-Wei, Fukumori, Daisuke , Tschuor, Christoph , White, Steve, Kroge, P Von, Heumann, Asmus , Meyere, Céline De, D’hondt, M, Haak, Fabian, Stättner, Stefan, Primavesi, Florian, Morgül, Haluk , Andreou, A, Ratti, F, Esquer, Ignacio Sánchez, Robles-Campos, Ricardo, Lopez-Lopez, Victor, Wakabayashi, Go , Nebbia, Martina, Rahbari, Nuh N., Ferretti, Stefano, Ettore, Giuseppe , Croner, RS , Dong, Y, Starlinger, P, Nickel, F, Müller, Beat P., Hess, Gabriel F , Guidetti, Cristiano , di Benedetto, Fabrizio , Sucandy, Iswanto , Aegerter, Noa L E , Berchtold, Caroline , Bernardi, Lorenzo , Cristaudi, Alessandra , Balzano, Emanuele , Ghinolfi, Davide , Goh, Brian K P , Fukumori, Daisuke , Tschuor, Christoph , Pandanaboyana, Sanjay , De Meyere, Celine , Seehofer, Daniel , Esquer, Ignacio Sánchez , Müller, Philip C , Koh, Ye-Xin , Lin, Charles Chung-Wei, Tschuor, Christoph , Kroge, Philipp H. von , D’Hondt, Mathieu , Haak, Fabian , Stättner, Stefan , Primavesi, Florian , Ratti, Francesca , Robles-Campos, Ricardo, López‐López, Víctor , Wakabayashi, Taiga , Nebbia, Martina , Gilg, Stefan , Birgin, Emrullah , Ferretti, Stefano , Ettore, Giuseppe Maria, Rahimli, Mirhasan , Nickel, Felix , Müller-Stich, Beat Peter

Annals of Surgery | June 17, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.1097/sla.0000000000007123 | PMID 42307103 Get It

Objective: To evaluate the institutional learning curve of robotic liver resection (RLR), its association with surgical complexity and outcomes in an international multicenter cohort. Summary of Background Data: RLR is increasingly adopted worldwide, but the dynamics of the learning process and its impact on surgical outcomes remain poorly defined. Methods: This international, multicenter, retrospective cohort study included consecutive patients who underwent RLR between 06/2013 and 12/2024 across 22 expert centers. Based on the first 150 cases at each center, three phases were used to define the learning curve: operative time for competency, major complications for proficiency, and textbook outcome for mastery. Risk-adjusted generalized additive models were used to assess the learning process. Benchmark performance was compared to international reference values. Results: Among 2,331 patients, the most common indications were hepatocellular carcinoma (36%), benign lesions (23%) and colorectal liver metastases (21%). Operative time decreased after achieving competency (case #62), from 240 to 220 minutes ( P <0.001). Major morbidity reached a plateau during the proficiency phase (cases #63–138; 9% vs. 11%, P =0.144), while progression to mastery (cases #139–150) was associated with a higher rate of textbook outcome (76% vs. 87%, P =0.021). In contrast, conversion (5.1% vs. 4.9% vs. 2%), bile leak (4.0% vs. 5.3% vs. 3.8%), and 90-day mortality (0.7% vs. 0.9% vs. 0.9%) remained low and stable across all learning phases. Importantly, benchmark criteria for operative time, hospital stay, and textbook outcome were met across all complexity groups, including during the early learning phase. Conclusions: Robotic liver surgery shows progressive outcome improvement with early achievement of benchmark-level results and stable performance across increasing complexity. These findings indicate that, in experienced centers, RLR can be safely implemented and integrated into clinical practice, supporting its key role in modern hepatobiliary surgery.
NF2-related Schwannomatosis Diagnosed Before and After 30 Years of Age: Differences in Disease Presentation and Rates of Positive Genetic Testing
Marinelli, John P. , Carlson, Matthew L., Neff, Brian A., Driscoll, Colin L.W., Babovic‐Vuksanovic, Dusica , Dornhoffer, James R. , Marinelli, John P , Babovic-Vuksanovic, Dusica, Olson, Brennan , Carlson, Matthew L. , Driscoll, Colin L. W., Schimmenti, Lisa A.

Otology & Neurotology | June 17, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.1097/mao.0000000000004975 | PMID 42303233 Get It

Objective: Characterize pathogenic variants, rates of mosaicism, genetic testing yield, and disease severity among patients with NF2-related schwannomatosis dichotomized by diagnosis before or after the age of 30. Study design: Retrospective analysis. Setting: Tertiary referral center multidisciplinary NF2 clinic from 2021 to 2024. Patients: Patients with NF2-related schwannomatosis. Intervention: Next-generation sequencing. Main outcome measure: Rates of mosaicism, genetic testing rates and yield, and overall disease severity by tumor burden. Results: From 2021 to 2024, there were 32 patients ≥30 years of age and 39 patients diagnosed at younger ages. Patients diagnosed ≥30 years exhibited decreased likelihood of receiving genetic testing (53% vs. 85%; P =0.009) and decreased genetic yield (defined as identification of a pathogenic genetic variant in those undergoing testing; 65% vs. 85%; P =0.20). Both age groups demonstrated similar rates of pathogenic variant type with loss-of-function being the predominant variant detected in 73% vs. 67%, for ≥30 vs. <30 years of age; P =0.90. Those ≥30 years harbored fewer number of average anatomic regions involved by tumor (2.3 vs. 3.4; P <0.001) and decreased total number of tumors (7 vs. 12; P <0.001). Conclusions: Patients diagnosed with NF2-related schwannomatosis at age ≥30 years exhibited reduced disease severity compared with those diagnosed at a younger age despite harboring similar distributions of genetic pathogenic variants inclusive of loss-of-function pathogenic variants. These observations emphasize the importance of considering patient age in addition to genetic testing for diagnostic framing tailored to patients’ biology and clinical context to optimize care in the setting of NF2-related schwannomatosis.