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Posterior lumbar facet arthroplasty versus fusion for the treatment of spondylolisthesis: 3-year results from the Total Posterior Spine System investigational device exemption study
VanHorn, Trent, Zeitouni, Daniel , Parish, Jonathan M. , Welch, William C., Whiting, Donald, Kim, Paul K., Steinmetz, Michael P., Coric, Domagoj , VanHorn, Trent A., Nassr, Ahmad , Welch, William C. , Whiting, Donald, Kim, Paul K., Steinmetz, Michael P.

Neurosurgical Focus | June 24, 2026 | Volume: 61 | Issue: 1 | Pages: E12

10.3171/2026.3.focus2624 | PMID 42385242 Get It

OBJECTIVE The optimal surgical treatment for lumbar spinal stenosis (LSS) with degenerative spondylolisthesis (DS) remains controversial. Posterior lumbar facet arthroplasty preserves motion after decompression and may address some of the limitations of fusion techniques. The Total Posterior Spine System (TOPS) investigational device exemption trial compared decompression with facet arthroplasty to decompression plus fusion (open with interbody). This study reports the 3-year outcomes from this trial. METHODS This randomized, controlled, multicenter trial enrolled 321 patients with LSS and grade I DS across 37 sites (2:1 randomization of arthroplasty to fusion). Eligible patients were 35–80 years old, had failed ≥ 6 months of nonsurgical treatment, and met thresholds for disability and leg pain. The primary endpoint was a composite clinical success score at 36 months, defined by four criteria: 1) no reoperation or lumbar injection, 2) no major device adverse events, 3) ≥ 15-point improvement in the Oswestry Disability Index (ODI), and 4) no new/progressive neurological deficit. Secondary outcomes included the ODI score, visual analog scale (VAS) scores for back and leg pain, the Zurich Claudication Questionnaire (ZCQ), device-related adverse events, and reoperations. RESULTS One hundred seventy-nine patients in the arthroplasty (TOPS) group and 74 in the fusion group were eligible for the 36-month analysis. The composite clinical success achievement rate was significantly higher in the arthroplasty group (76.0%) than in the fusion group (56.8%; p = 0.0038). The rate of reoperation or lumbar injection was significantly lower for the arthroplasty group (14.0%) compared to the fusion group (25.3%; p = 0.0222). Arthroplasty was associated with a significantly higher minimal clinically important difference (MCID) achievement rate for VAS back pain score compared with fusion (85.2% vs 72.2%; p = 0.041). Although there was no significant difference in ODI score, VAS leg pain score, or ZCQ component scores between groups, the arthroplasty group trended toward higher MCID achievement rates across all patient-reported outcome measures. There was no significant difference in reoperation failure rates between groups (5.8% for arthroplasty vs 9.5% for fusion; p = 0.329). CONCLUSIONS Decompression and dynamic stabilization with lumbar facet arthroplasty was associated with statistically significantly superior clinical outcomes and lower rates of secondary invasive procedures, including reoperations and injections, compared with decompression and fusion. Long-term follow-up is critical in defining the role of lumbar facet arthroplasty for the treatment of DS.
Characterisation of Posterior Predominant Amyloid PET Binding Across Multiple Cohorts
Giorgio, Joseph , Landau, Susan, Yokoyama, Jennifer S. , Soleimani-Meigooni, David, Carrillo, Maria, Grinberg, Lea, Seeley, William W Tenenholz, Spina, Salvatore, Nudelman, Kelly, Apostolova, Liana, Dickerson, Bradford C, Jagust, William J, Rabinovici, Gil, Initiative, Alzheimer’s Disease Neuroimaging, Yokoyama, Jennifer , Blazhenets, Ganna , Landau, Susan , Pezzoli, Stefania , Seeley, William W. , Spina, Salvatore , Nudelman, Kelly , Dickerson, Bradford Clark , Jagust, William J. , Rabinovici, Gil D. , Joie, Renaud La , Initiative, Alzheimer's Disease Neuroimaging

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

10.64898/2026.06.17.733031 | PMID 42395404 Get It

Abstract The standard approach to quantify amyloid (Aβ) PET averages uptake within a single cortical mask that assumes no clinically relevant spatial heterogeneity in uptake patterns. Here, in a sample of 12,379 clinically impaired participants taken from four phenotypically diverse cohorts we use data-driven approaches to discover heterogeneous patterns of Aβ-PET binding, uncovering a reproducible and clinically relevant pattern of posterior predominant Aβ-PET binding. In particular, Aβ-PET positive participants who have posterior predominant binding are less likely to be APOE -ε4 carriers, more severely impaired, have thinner cortex in posterior regions, and greater posterior tau PET burden. Furthermore, in a subsample of participants with neuropathological assessment, participants with posterior predominant Aβ binding have a higher likelihood of having cerebral amyloid angiopathy at autopsy. These findings suggest that Aβ-PET accumulates along two orthogonal axes with biological and clinical relevance, indicating that the standard approach to assess Aβ-PET is insufficient to capture meaningful signal from Aβ-PET imaging. This work has implications for the diagnosis and treatment of Alzheimer’s disease and extends our understanding of the mechanisms governing variable Aβ-PET distribution and its downstream effects.
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.
Phenotypic Characterization of Unclassified Pulmonary Hypertension
Frantz, Robert P. , Egbe, Alexander C. , Miranda, William R. , Asokan, Aneesh K , Hassoun, Paul M. , Hemnes, Anna R. , Horn, Evelyn M. , Leopold, Jane A. , Rischard, Franz, Hill, Nicholas S. , Erzurum, Serpil C. , Finet, J. Emanuel , Nishimura, Rick , Frantz, Robert P , Egbe, Alexander C , Miranda, William R , Hassoun, Paul M , Hemnes, Anna , Horn, Evelyn M , Leopold, Jane A , Rosenzweig, Erika B , Hill, Nicholas S , Erzurum, Serpil C , Finet, J Emanuel , Mukherjee, Monica , Tang, W H Wilson , Borlaug, Barry A , Reddy, Yogesh N.V. , Rischard, Franz , Rosenzweig, Erika B. , Mukherjee, Monica , Tang, W.H. Wilson , Nair, K. Sreekumaran , Borlaug, Barry A.

Circulation: Heart Failure | June 19, 2026 | Volume: 19 | Issue: 7 | Pages: No page available

10.1161/circheartfailure.125.014480 | PMID 42318624 Get It

BACKGROUND: Some symptomatic patients manifest pulmonary hypertension (PH), despite normal pulmonary vascular resistance and pulmonary artery wedge pressure—a condition termed unclassified PH. Although hypothesized to reflect increased flow as seen in congenital heart disease, broader clinical implications remain unknown. METHODS: The current analysis included pulmonary vascular disease phenomics participants with either no PH or unclassified PH who underwent dynamic right heart catheterization and transpulmonary metabolomics. In a validation cohort, patients with no PH or unclassified PH underwent exercise right heart catheterization. In exploratory cohorts to understand the impact of increased flow, the prevalence of unclassified PH was assessed in (1) adult congenital heart disease and (2) high output heart failure. RESULTS: The overall prevalence of unclassified PH in pulmonary vascular disease phenomics (n=1046) and the validation cohort (n=1202) was 7.8% (175/2248), which was comparable to the 6.6% (66/1005) prevalence in adult congenital heart disease (n=1005), and lower than high output heart failure (n=159, prevalence 14.5% [23/159]; P =0.006). Increased flow occurred in a minority of unclassified PH from both pulmonary vascular disease phenomics (28%; 15/53) and the validation cohort (11%; 13/122). Unclassified PH (n=53) was associated with greater adiposity, higher heart failure with preserved ejection fraction (HFpEF)–age, body mass index, atrial fibrillation score probability, and more left heart remodeling compared with those with no PH (n=216). Metabolomics revealed lower glycine metabolites in unclassified PH indicative of metabolic dysfunction. Left heart remodeling, quality of life, exercise capacity, and glycine levels were all abnormal in unclassified PH relative to healthy controls (n=96). In the validation cohort, pulmonary artery wedge pressure, pulmonary vascular resistance, and pulmonary artery compliance were subtly abnormal at rest in unclassified PH (n=122) compared with no PH (n=312). With exercise testing, 59% (72/122) with unclassified PH had exertional pulmonary artery wedge pressure elevation consistent with undiagnosed HFpEF. CONCLUSIONS: The presence of PH without obvious cause most often reflects subclinical left heart and metabolic dysfunction consistent with unrecognized early-stage HFpEF. Dynamic provocation during right heart catheterization can unmask unrecognized HFpEF in over half of unclassified PH, which may help guide appropriate initiation of proven HFpEF therapies to improve symptoms and functional status. REGISTRATION: URL: https://www.clinicaltrials.gov ; Unique identifier: NCT02980887.
Targeting liver metastases in uveal melanoma: ATX-LPA mediated immunosuppression and novel therapeutic approaches
Turner, Jacqueline A. , D’Antonio, Marc, Montane, Heather N. , MacBeth, Morgan, Katsnelson, Elizabeth, Robinson, William A., Couts, Kasey L. , Torres, Raul M., A Turner, Jacqueline, D’Antonio, Marc A. , MacBeth, Morgan L. , Robinson, William A., Tobin, Richard P. , Markovic, Svetomir N.

Frontiers in Immunology | June 18, 2026 | Volume: 17 | Issue: No issue available | Pages: No page available

10.3389/fimmu.2026.1829486 | PMID 42396445 Get It

Introduction Uveal melanoma has a marked tropism for the liver where immune tolerance facilitates metastatic progression and resistance to immunotherapy. Impaired CD8 + T cell immunosurveillance is a central determinant of disease progression in uveal melanoma, yet the underlying mechanisms driving liver-mediated immune subpression and hepatic metastasis are not fully understood. Here, we investigate molecular pathways that regulated hepatic CD8 + T cell function and evaluate clinical outcomes associated with liver-directed therapy. Methods Expression of autotaxin (ATX), the expression responsible for generating lysophosphatidic acid (LPA), was evaluated in hepatic resident cell populations. ATX transcript levels were assessed in CD8 + T cells isolated from hepatic metastases and compared with matched peripheral blood and healthy donor control. Antigen-specific effector CD8 + T cells were used to characterize downstream signaling responses to LPA stimulation. Functional studies evaluating cytokine production during chronic antigen exposure were performed using CD8 + T cells from LPA receptor 5-deficient ( Lpar5 -/- ) mice. Results We identify the autotaxin-lysophosphatidic acid (ATX-LPA) axis as a prominent immunoregulatory pathway in the metastatic hepatic tumor microenvironment. ATX, the enzyme responsible for LPA production, is constitutively expressed by hepatic resident cells, is detectable on Kupffer cells and is associated with increased immunosubpressive markers. CD8 + T cells isolated from hepatic metastasis in a patient with uveal melanoma display markedly elevated ATX transcripts compared to matched peripheral blood (>5 log 2 fold change) and healthy controls. Using antigen-specific effector CD8 + T cells, we demonstrate LPA signaling induces low level, persistent ERK phosphorylation distinct from canonical antigen-induced TCR signaling. Genetic deletion of the LPA receptor 5 ( Lpar5 -/- ) on CD8 + T cells restores CD8 T cell percentages and cytokine function during persistent antigen stimulation in the presence of LPA. Discussion These findings define an ATX-LPA mechanisms of dysfunctional ERK signaling that may contribute to hepatic immune subpression in uveal melanoma. We highlight this pathway as a rational therapeutic target alongside liver-directed clinical interventions.
Contributions of the Alzheimer's Disease Neuroimaging Initiative to advancing AD research: a targeted review of recent publications
Miller, Melanie J., Kanoria, Shaveta , Aisen, Paul S., Beckett, Laurel A., Green, Robert C., Harvey, Danielle J., Jack, Clifford R., Jagust, William, Lee, E, Nho, Kwangsik, Nosheny, Rachel, Okonkwo, Ozioma C., Perrin, Richard J., Petersen, Ronald C., Saykin, Andrew J., Shaw, Leslie M., Toga, Arthur W., Tosun, Duygu, Landau, Susan M, Weiner, Michael W. , Initiative, for the Alzheimer's Disease Neuroimaging, Harvey, Danielle , Weiner, Michael W , Harvey, Danielle J , Veitch, Dallas P. , Miller, Melanie J. , Aisen, Paul , Beckett, Laurel , Green, Robert C. , Jack, Clifford R. , Jagust, William J. , Nho, Kwangsik T. , Nosheny, Rachel, Perrin, Richard J. , Petersen, Ronald C. , Mindt, Mónica Rivera , Saykin, Andrew J. , Shaw, Leslie M. , Toga, Arthur W. , Landau, Susan , Initiative, for the Alzheimer’s Disease Neuroimaging

Alzheimer's & Dementia | June 18, 2026 | Volume: 22 | Issue: 6 | Pages: No page available

10.1002/alz.71566 | PMID 42309987 Get It

Abstract The Alzheimer's Disease Neuroimaging Initiative (ADNI) recently celebrated its 20th anniversary, reflecting two decades of major contributions to Alzheimer's research through open data sharing and longitudinal multimodal assessments. This review synthesizes 122 high‐impact studies using ADNI data or biospecimens from 2023 to mid‐2025 to clarify mechanisms of Alzheimer's disease (AD) progression. Studies describe impairment of glymphatic clearance and the impact of cerebral small vessel disease, trajectories of amyloid beta and tau deposition, inflammation, metabolic disturbances, synaptic dysfunction, and neurodegeneration, leading to cognitive impairment and neuropsychiatric symptoms. Multifactorial contributions from genetic and epigenetic influences, co‐pathologies and comorbidities, and mechanisms of resilience modulate disease progression. Finally, heterogeneity of clinical presentation and disease course is described in the context of multiple contributing factors, highlighting the complexity of AD. By integrating imaging, fluid biomarkers, genetics, and clinical measures, ADNI provides a comprehensive research dataset for unraveling mechanisms underlying AD progression.
Application of Hi-C sequencing to detect oncogene rearrangements for diagnosis and treatment of large B-cell lymphoma
Wang, Chang , 吴得红, Tzankov, Alexandar, Møller, Michael , Visco, Carlo , Hsi, Eric D. , Zhao, Xiaoxian , Lv, Beibei, Wang, Bangchen , Yao, Shuna, Chiu, April , Dybkær, Karen , Bhagat, Govind , Montes-Moreno, Santiago, Pan, Zenggang , Bernal‐Mizrachi, Leon , Krieken, J Han JM van, Choi, William W.L., Tam, Wayne , Chen, Weina , Ponzoni, Maurilio, Ferreri, Andrés J.M. , Khajouei, Farzaneh , Sikkink, Kristin , Schmitt, Anthony D. , Xu-Monette, Zijun Y , Møller, Michael Boe , Visco, Carlo , Hsi, Eric D , Lv, Beibei , Wang, Bangchen , Chiu, April , Dybkaer, Karen , Bhagat, Govind , Chen, Weina , Parsons, Benjamin M , Khajouei, Farzaneh , Sikkink, Kristin , Li, Yong , Young, Ken H , Xu‐Monette, Zijun Y. , Tzankov, Alexandar , Cao, Xin , Zu, Youli , Montes‐Moreno, Santiago , Krieken, J. Han van , Ponzoni, Maurilio , Parsons, Benjamin M. , Li, Yong , Hastie, Alex R. , Young, Ken H.

Blood Advances | June 17, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.1182/bloodadvances.2026019675 | PMID 42308239 Get It

Diffuse large B-cell lymphoma (DLBCL), the most common type of lymphoma, arises from various pathogenic mechanisms including gene translocations and fusions. Detection of gene rearrangements using fluorescence in situ hybridization (FISH) is a standard practice for DLBCL diagnosis and guides treatment decisions. High-throughput chromosome conformation capture (Hi-C) DNA sequencing is a next-generation sequencing-based technology to identify genome-wide rearrangements using a single assay. In this study, Hi-C sequencing was performed using FFPE tissues from 159 patients with DLBCL, and identified 746 cancer genes at or proximal to the rearrangement breakpoints with a total of 1903 occurrences. Focusing on clinically important rearrangements, Hi-C detected 102 rearrangements of MYC, BCL2, and/or BCL6 in 92 patients and revealed the fusion partners, including 25 rearrangements missed by FISH. Causes of FISH negative results included FISH-cryptic breakpoints, complex or faint FISH signals, low percentage of FISH positivity, and issues related to tissue fixation. Moreover, in 20 patients (12.6%), Hi-C sequencing detected 22 rearrangements characteristic of other lymphoma types, including CCND1 rearrangements that could lead to reclassification as mantle cell lymphoma. Survival analysis for genome-wide rearrangements using machine learning models identified MYC, PD-L1, CCND1, BCL2, NTRK1/PRCC, RRAS, and FANCE rearrangements with significant prognostic effects in the DLBCL cohort. In conclusion, Hi-C sequencing detects gene rearrangements crucial for diagnosis in an unbiased and molecular manner and showed high sensitivity and specificity in our study. These advantages of Hi-C sequencing offer help to improve the workflow of clinical pathology laboratories, diagnostic precision, and treatment of large B-cell lymphoma.
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.