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Objective The objective of this study was to investigate the association between dual seropositive, single seropositive, and seronegative rheumatoid arthritis (RA) with radiographic erosions, disease flares, and death. Methods We performed a retrospective, population‐based study of residents in Southern Minnesota with incident RA who fulfilled criteria for RA in 2003 to 2019. Radiographic erosions and flares were evaluated within one year of incident RA. All‐cause mortality was obtained from medical records and death certificates. Cox models adjusted for age, sex, smoking status, year of incident RA, and comorbidities were used. Results The study included 1,373 patients with RA. At RA incidence, 37% were dual seropositive, 13% seropositive for anti–cyclic citrullinated protein (anti‐CCP) only, 12% seropositive for rheumatoid factor (RF) only, and 38% seronegative. The highest proportion of radiographic erosions before or within one year of RA incidence was in the dual seropositive (31%) and lowest in those seropositive for anti‐CCP only (13%). Flares occurred in 69% of the dual seropositive and 51% of the seropositive for anti‐CCP only within the first year of RA incidence. Those seropositive for RF only had over a two‐fold increase in mortality rates compared with the seronegatives (adjusted hazard ratio [aHR] 2.18, 95% confidence interval [CI] 1.47–3.24). In contrast, the dual seropositives had only a >50% increase in mortality rates (aHR 1.66, 95% CI 1.21–2.28), and those seropositive only for anti‐CCP had a >30% increase in mortality rates (aHR 1.32, 95% CI 0.83–2.11). Conclusion Patients with RA seropositive for RF only have an increase in mortality rates compared with patients who are dual seronegative. RF positivity could be an indicator of inflammation that requires pharmacologic treatment to decrease mortality rates.

158 Background: PIK3CA mutations are common in CRC and may be a negative prognostic factor. INAVO is a potent and selective PI3Kα inhibitor that also promotes mut p110α degradation. BEV and CETUX are standard treatment (tx) components for RAS mut and RAS -wildtype (wt) mCRC, respectively. The Phase I/Ib INTRINSIC open-label umbrella study (NCT04929223) evaluates targeted therapies in biomarker-selected mCRC subpopulations. We report INAVO + BEV and INAVO + CETUX results. Methods: Patients (pts) with PIK3CA mut, RAS mut mCRC received INAVO (9 mg oral once daily) + BEV (intravenous [IV] 15 mg/kg every 3 weeks). Pts with PIK3CA mut, RAS wt mCRC received INAVO + CETUX (IV 400 mg/m 2 then 250 mg/m 2 weekly thereafter). Primary endpoint: confirmed objective response rate (cORR). Secondary endpoints included disease control rate (DCR), duration of response (DoR), and safety. Progression-free survival (PFS) and overall survival (OS) were exploratory. Results: At the clinical cut-off dates, 16 pts were enrolled in the BEV arm; 35, in the CETUX arm. Most had ≥2 metastatic sites at enrollment (n = 16 [100%] and 30 [85.8%], respectively) and ≥2 prior lines of metastatic therapy (16 [100%] and 28 [80.0%]). In the BEV arm, 3 pts (18.8%) had no prior BEV. In the CETUX arm, 25 pts (71.4%) had no prior CETUX; 17 (48.6%) had prior anti-EGFR therapy. All pts in the BEV arm and 34 in the CETUX arm were evaluated for efficacy and safety. Median follow-up was 9.4 months (mo; interquartile range: 5.5–14.4) and 12.6 mo (8.9–16.6), respectively. Efficacy is shown in the Table. All pts had adverse events (AEs); 15 (93.8%) and 34 (100%), respectively, had tx-related AEs (TRAEs); 5 (31.2%) and 12 (35.3%), grade 3–4 TRAEs; 2 (12.5%) and 11 (32.4%), serious AEs. One grade 5 AE (infusion-related reaction) occurred (CETUX arm). Dose reduction/interruption due to AEs occurred in 12 (75.0%) and 27 (79.4%) pts; tx withdrawal due to AEs, in 0 and 4 (11.8%) pts, respectively. Hyperglycemia was the most common AE, TRAE, and AE leading to dose reduction/interruption in both cohorts. Hypertension was observed more frequently with BEV; dermatitis acneiform and dry skin, with CETUX. Conclusions: INAVO + BEV and INAVO + CETUX showed encouraging efficacy in pts with PIK3CA mut mCRC, with no new or unexpected safety signals. Clinical trial information: NCT04929223 . INAVO + BEV(n = 16) INAVO + CETUX(n = 34) cORR, all PR, n (%) 1 (6.3) 7 (20.6)* SD, n (%) 10 (62.5) 17 (50.0) Progressive disease, n (%) 3 (18.8) 9 (26.5) Missing/NE, n (%) 2 (12.5) 1 (2.9) mDoR, mo (90% CI) 7.7 (NE) 4.4 (4.2–5.3) DCR, n (%) 11 (68.8) 15 (44.1) mPFS, mo (90% CI) 4.2 (2.8–6.8) 3.5 (2.8–4.4) mOS, mo (90% CI) 11.0 (8.5–14.5) 12.8 (10.7–13.8) CI, confidence interval; m, median; NE, not evaluable; PR, partial response; SD, stable disease. *3 pts with PRs received prior anti-EGFR therapy; 1 had a best prior response of SD (last dose 233 days before study tx) and 2 had best prior responses of PRs (last doses 134 and 171 days before study tx).

Abstract Background Sex, education and race/ethnicity are all associated with risk of Alzheimer's disease dementia. Here, we assess the effects of self‐reported sex, educational attainment and race/ethnicity on amyloid‐positivity, and tau‐PET‐positivity in 12,048 (7,394 cognitively unimpaired [CU], 2,177 MCI, and 2,477 dementia) individuals from 42 cohorts worldwide. Method Logistic generalized estimating equations were used to estimate frequency of amyloid‐positivity (using cohort‐specific thresholds for amyloid‐PET [84%] or CSF) and tau‐PET‐positivity (cohort‐specific thresholds of 2SD above mean temporal uptake in amyloid‐negative controls). We assessed: i) sex and APOEε4 ( N = 10,098) associations, to complement earlier findings of a higher frequency of tau‐positivity in females, ii) effects of lower/higher education ( N = 10,970; cohort‐specific median‐split), and iii) effects of race/ethnicity (non‐Hispanic White [hereafter: White], N = 4880; Asian, N = 116; Black or African‐American [hereafter: Black], N = 353; Hispanic, N = 356, only from Northern‐American cohorts). Outcomes were frequency of amyloid‐positivity in CU individuals only, and tau‐PET‐positivity in both amyloid‐positive (AB+) CU and cognitively impaired (CI, i.e. MCI and dementia) individuals. Interaction effects on the relationship between age and amyloid/tau‐positivity were assessed and only retained in the models when significant. Result Female sex was associated with an APOEε4 ‐independent increased frequency of amyloid‐positivity (β=0.51[0.22], p = 0.02) in CU and increase of tau‐positivity in both AB+CU (β=0.27[0.08]) and AB+CI (β=0.37[0.08], both p <0.01). Remarkably, tau‐positivity frequencies of female APOEε4 non‐carriers were equivalent to male APOEε4 carriers in AB+CI (Figure 1). No significant sex* APOE interactions were observed. In CU, higher education was associated with lower amyloid‐positivity frequency (β=‐0.12[0.05], p = 0.02). In contrast, among AB+CU, there was an age*education interaction effect that indicated more pronounced age effects on tau‐positivity in individuals with higher education (age*education:β interaction =0.03[0.01], p <0.01). There were no education effects in AB+CI (Figure 2). In CU, an age*race/ethnicity interaction effect was observed across all non‐White groups compared to White (Hispanic:β interaction =‐0.05[0.01], p <0.01; Black:‐0.04[0.01], p <0.01; Asian:‐0.02[0.01], p = 0.04). This suggests that the impact of age on amyloid‐positivity was less pronounced in non‐White groups. Furthermore, in AB+CI, Hispanic ethnicity was related to higher tau‐positivity frequency than White (β=0.51[0.22], p = 0.02; Figure 3). Conclusion In this multi‐center initiative comprised of clinical and community‐based cohorts, we observed that self‐reported sex, educational attainment and race/ethnicity were related to positivity‐frequencies of Alzheimer's disease pathology.

Abstract Background The link between regional tau load and clinical manifestation of Alzheimer's disease (AD) highlights the importance of characterizing spatial tau distribution. In typical (memory‐predominant) AD, the spatial progression of tau pathology mirrors the functional connections from temporal lobe epicenters. However, atypical (non‐amnestic‐predominant) AD variants with heterogeneous tau patterns provide a key opportunity to assess the universality of connectivity as a scaffold for tau progression. Method We included tau‐PET data from 320 subjects with atypical AD, characterized by highly heterogeneous tau patterns ( n = 139 posterior cortical atrophy/PCA‐AD; n = 103 logopenic variant primary progressive aphasia/lvPPA‐AD; n = 35 behavioural variant AD/bvAD; n = 43 corticobasal syndrome/CBS‐AD) from 14 sites, with a subset of patients ( n = 78) having longitudinal tau‐PET data. As an independent sample, we further included regional post‐mortem tau stainings from 93 atypical AD patients from two sites ( n = 19 PCA‐AD, n = 32 lvPPA‐AD, n = 23 bvAD, n = 19 CBS‐AD). Gaussian mixture modeling was used to harmonize different tau‐PET tracers by transforming tau‐PET standardized uptake value ratios to tau positivity probabilities (a uniform scale ranging from 0% to 100%). Using linear regression, we assessed whether 1) brain regions with stronger functional connectivity showed greater covariance in cross‐sectional and longitudinal tau‐PET and post‐mortem tau pathology, and 2) functional connectivity of tau‐PET epicenters and tau‐PET accumulation epicenters was associated with cross‐sectional and longitudinal tau patterns. Result Tau‐PET epicenters—defined as the 5% brain regions with the highest tau load—aligned with clinical variants, e.g. a posterior pattern in PCA‐AD (“visual AD”) and left‐hemispheric temporal predominance in lvPPA‐AD (“language AD”) (Figure 1). More strongly functionally connected regions showed correlated concurrent tau‐PET levels, which was confirmed with post‐mortem data (Figure 2). Moreover, the connectivity profile of tau‐PET epicenters and accumulation epicenters corresponded to tau‐PET progression patterns (Figure 3). Conclusion Our data are consistent with the hypothesis that tau propagation occurs along functional connections originating from local epicenters, across all AD clinical variants. Since tau proteinopathy is a key driver of neurodegeneration and cognitive decline, this finding may advance personalized medicine and participant‐specific endpoints in clinical trials.

Abstract Background Aortic valve calcification (AVC), as measured by gold-standard computed tomography (CT) Agatston score, provides an anatomic assessment of aortic stenosis (AS) severity and is a key predictor of AS progression and need for valve replacement. AVC detection and quantification from transthoracic echocardiography (TTE) could expand AS early diagnosis and risk stratification, currently limited by CT availability and radiation exposure. Methods A multi-view video-based deep learning framework was developed using 1166 TTE aortic valve videos from 187 TTE studies acquired in 110 patients with available AVC score by CT. EchoAVC architecture includes a feature extraction model followed by a quality-aware model that aggregates video-level information to obtain patient-level predictions for AVC detection and quantification (score). The framework was validated internally with 173 TTE studies from 86 patients across seven centres, and externally using 430 TTE studies from 280 patients across four different centres. The associations between EchoAVC estimations and AS severity, progression, and need for aortic valve replacement were examined. Results EchoAVC demonstrated excellent performance in AVC detection (AUROC 0.98, accuracy 94.4%), and quantification (R = 0.64) in the external multi-centre testing set. EchoAVC score was correlated with echocardiographic AS severity descriptors, including aortic valve mean pressure gradient (ρ = 0.749) and peak velocity (ρ = 0.757), and predicted future increase in mean pressure gradient (ρ = 0.382), peak velocity (ρ = 0.433) and calcium score by CT (ρ = 0.650). In 361 patients followed for a median of 3.8 years, 139 underwent aortic valve replacement. Baseline presence and extent of AVC as predicted by EchoAVC showed strong risk-stratification power for aortic valve replacement, remarkably in line with those obtained by CT, and incremental over TTE AS descriptors. EchoAVC was further tested in routine clinical practice images, confirming strong associations with AS severity and progression, including stratification for incident AS in previously unaffected individuals (p<0.001). Conclusions EchoAVC enables accurate and non-invasive detection and quantification of AVC, offering substantial diagnostic and prognostic value for aortic stenosis progression and need for valve replacement. This technique holds promise as a scalable tool for early detection and clinical management of aortic valve stenosis. Clinical Perspective What Is New? * Aortic valve calcification can be detected and quantified on standard, two-dimensional transthoracic echocardiography * EchoAVC score is associated with echocardiographic metrics of aortic stenosis severity * EchoAVC predicts progressive increase in aortic stenosis severity and need for aortic valve replacement What Are the Clinical Implications? * This openly available deep learning framework can be used to estimate aortic valve calcium in patients at risk of or presenting aortic stenosis to predict aortic stenosis progression * EchoAVC may help identify patients likely to have high aortic valve calcium and prioritize them for confirmatory CT assessment, thereby supporting earlier identification of calcific aortic valve disease in clinical pathways.

Objectives: To evaluate evolving management, ICU admission, and outcomes for critically ill chimeric antigen receptor (CAR) T-cell patients over a 6-year period. Design: Multicenter retrospective cohort study from January 2018 to September 2023. Setting: Eight U.S. centers. Patients: Adult CAR T-cell patients requiring ICU admission. Interventions: None. Methods: Summary statistics included mean, sd , median, and interquartile range (IQR). Fisher exact test or chi-square test were used to evaluate association between year treated and other categorical variables. Cochran-Armitage test was performed to assess significance of trends across years. Multivariable logistic regression was performed to assess covariates associated with mortality. Measurements and Main Results: Demographics, toxicity management, ICU admission, support modalities, toxicity severity, and survival (ICU, hospital, and 3-mo) were compared year-to-year. From 2018 to 2023, 2238 patients received CAR T cells, with increasing number of patients treated yearly; 398 (17.8%) required ICU care. Of those admitted to the ICU, 66.1% were male, 89.2% had lymphoma, and median age was 64 years (53–71 yr). ICU admission rates declined from 38.5% (95% CI, 31.6–45.8%) in 2018 to 16.4% in 2023 (95% CI, 13.5–19.7%; p < 0.0001). Cytokine release syndrome or immune effector cell-associated neurotoxicity syndrome was the reason for ICU admission in 87.9%. In 2023 vs. 2018, ICU patients were older (median, 65 yr [IQR, 55–73 yr] vs. 58 yr [48–67 yr]; p = 0.003) with higher comorbidity indices (4 [4–6] vs. 3 [2–4]; p = 0.005) and more severe toxicities (≥ grade 3: 90.1% vs. 69.9%; p = 0.004). Corticosteroid use for less severe toxicities (≤ grade 2 toxicity: 73.8% vs. 40.6%; p = 0.0001) and anakinra use (56% vs. 5.5%; p < 0.0001) increased throughout the years. Mortality from cytokine release syndrome and immune effector cell-associated neurotoxicity syndrome remained low (5.5%). Age, Sequential Organ Failure Assessment greater than or equal to 10 at ICU admission, and ICU admission for noncytokine release/neurotoxicity syndrome reasons were associated with hospital mortality (odds ratios, 1.02 [95% CI, 1–1.04; p = 0.046], 4.69 [2.44–9.01; p < 0.0001], and 3.74 [1.91–7.3; p = 0.0001], respectively). Conclusions: ICU admission rates after CAR T-cell treatment are declining. Although ICU patients are older with higher severity of illness and toxicity grades, ICU mortality after CAR T-cell therapy remains low.

ABSTRACT Despite advances in therapy, extramedullary disease (EMD) remains an aggressive form of multiple myeloma associated with poor outcomes. Patients with true EMD, in which plasmacytomas have become completely independent of bone, have a particularly poor prognosis. The pathogenesis of EMD is driven by complex mechanisms involving loss of adhesion molecules, heterogeneous genetic and epigenetic changes, and a solid tumor‐like architecture within the microenvironment. Although the introduction of advanced imaging techniques and immunotherapy has led to improved detection and more promising outcomes and regimens, respectively, more prospective studies dedicated to true EMD are needed.

The Concise Guide to Pharmacology 2025/26 marks the seventh edition in this series of biennial publications in the British Journal of Pharmacology. Presented in landscape format, the guide provides a comparative overview of the pharmacology of drug target families. The concise nature of the Concise Guide refers to the style of presentation, being clear, accessible, and well‐structured, rather than the scope of the content, which spans approximately 500 pages. The Concise Guide summarises the key pharmacological properties of around 1900 human drug targets, and nearly 7000 interactions, involving around 4400 ligands. While the content is a substantially condensed version of the more detailed information and links available at the www.guidetopharmacology.org website, the printed guide serves as a permanent, citable, point‐in‐time record, that remains stable despite ongoing updates to the online database. The full contents of this publication can be found at https://bpspubs.onlinelibrary.wiley.com/doi/10.1111/bph.70233 . The Concise Guides provide expert‐curated recommendations of ‘Gold Standard’ selective pharmacological tools, available either commercially or as donations, which enable the identification of individual drug targets or families of drug targets. While the Concise Guide offers a more streamlined overview, more comprehensive information, including detailed pharmacological profiles and links to multiple online databases, is available through the Guide to Pharmacology website. The 2025/26 edition of the Concise Guide is based on material current as of mid‐2025, and supersedes all previous editions, including the 2023/24 Guide, and earlier Guides to Receptors and Channels. It is produced in close conjunction with the Nomenclature and Standards Committee of the International Union of Basic and Clinical Pharmacology (NC‐IUPHAR), and as such provides official IUPHAR classification and nomenclature for human drug targets, where applicable. Catalytic receptors are one of the six major pharmacological targets into which the Guide is divided, with the others being: G protein‐coupled receptors, ion channels, nuclear hormone receptors, enzymes and transporters. Each section includes nomenclature guidance, concise summaries, information of the best available pharmacological tools, key references, and suggestions for further reading.