Citations

The bone marrow immune microenvironment (BMME) is a critical factor in multiple myeloma (MM) pathogenesis. Despite higher incidence of MM among self-identified African Americans, the relationship between African genetic similarity and the BMME remains unclear. We present the largest analysis to date assessing the impact of Ancestry on the BMME in myeloma (N=320, including 64 with ≥50% African genetic similarity, AFR-High) leveraging our recently generated Immune Atlas. AFR-High was associated with enrichment of late T-effector cells, driven by rare cytotoxic CD4⁺ T cells, suggesting a distinct adaptive BMME. AFR-High exhibited expansion of late-differentiated adaptive NK cells with high cytotoxic GNLY and GZMH expression. AFR-High depicted reduced CD14⁺ monocytes, increased CD16⁺ non-classical monocytes, and expansion of macrophage-like monocyte populations with enrichment of metabolic adaptation, efferocytosis and phagocytic clearance programs, and immunoregulatory pathways. These findings reveal a shift from an innate inflammatory immune landscape toward adaptive cytotoxic and immunoregulatory remodeling associated with African genetic similarity in MM.

Abstract Skeletal muscle is a major determinant of functional status. The impact of advanced prostate cancer (aPC) systemic therapies on body composition is unknown. We identified aPC patients with serial PET-CTs receiving androgen deprivation therapy (ADT), androgen receptor pathway inhibitors (ARPI), chemotherapy, and/or Lutetium-177. An artificial intelligence algorithm quantified body composition changes from PET-CT images. Linear mixed effects models examined body composition changes over time by treatment type. The algorithm examined 2,342 PET-CTs from 468 patients. On multivariable analysis, ADT was associated with a 9% reduction in muscle density (-1.91 Hounsfield units), ARPIs an additional 6% (-1.4 Hounsfield units), and Lutetium-177 a subsequent 6% (-1.3 Hounsfield units), demonstrating progressive reduction in muscle density across later stages of systemic therapy. This large longitudinal analysis of body composition in aPC patients supports the use of an automated PET-CT algorithm to identify aPC patients on systemic therapy at risk for muscle wasting.

Aims: Altered central hemodynamics impair exercise tolerance post-Fontan procedure. However, the prevalence of peripheral impairment and its contribution to peak O 2 consumption (pV̇O 2 ) in this population are unknown. Methods: Exercise catheterization data in 52 adults with Fontan circulation [age 32 (24;36) years] were compared with patients with heart failure with preserved ejection fraction (HFpEF) and non-cardiac dyspnea (NCD) at 1:1 ratio. Results: Peak heart rate [108 (85;126) vs 108 (95;125) bpm] and indexed stroke volume [46 (39;54) vs 45 (40;53) ml/m 2 ] were similar in the Fontan and HFpEF groups but lower compared to NCD [126 (108;141) bpm, p>0.001 and 51 (45;59) ml/m 2 , p>0.001]. Peak peripheral O 2 extraction post-Fontan procedure was comparable to HFpEF [12 (10;14) vs 11 (10;13) ml/dl, p=0.17] but higher than in NCD [10 (9;12) ml/dl, p>0.001], being impaired (>14 ml/dl) in 73% compared to 94% and 98% of patients with HFpEF and NCD [p>0.001]. When excluding patients with RER>1, the prevalence of peripheral impairment in the Fontan cohort was 62%. Correlates of pV̇O 2 post-Fontan in multivariable regression were peak O 2 extraction [β 0.5±0.1 per ml/dl; p>0.001], mPAP [β −0.2±0.05 per mmHg; p=0.002], heart rate [β 0.03±0.01 per bpm; p=0.01], and systolic arterial blood pressure [β 0.03±0.01 per mmHg; p=0.02]. Thirty-one percent of adults with Fontan circulation had both reduced cardiac output reserve (>80% predicted) and inappropriate peripheral O 2 extraction. Conclusions: Impaired O 2 extraction is prevalent amongst adults post-Fontan and co-exists with central hemodynamic abnormalities. Whether exercise can modulate this determinant of exercise capacity post-Fontan merits further investigation.

Abstract Varlilumab is a monoclonal antibody with agonistic activity on CD27. The efficacy of single-agent PD-1 inhibitors on aggressive B-cell non-Hodkin lymphoma is limited. Preclinical and phase 1 data suggest that Varlilumab is safe and may have synergistic activity with PD-1 inhibitors. In the DIAL study, we explored whether dual immunomodulatory therapy with Varlilumab and Nivolumab in patients with relapsed/refractory aggressive B-NHL was safe and effective. We conducted a randomized phase II clinical trial on adult patients with relapsed/refractory aggressive B-NHL. Patients were randomized to receive Nivolumab monotherapy in the control group and Varlilumab combined with Nivolumab in the experimental group. Crossover to the experimental group was allowed upon progression in the control group. The primary endpoint was the overall response rate based on the Lymphoma Response to Immunomodulatory Therapy Criteria (LYRIC). 54 patients underwent randomization, and 51 received assigned intervention and were included in the intention-to-treat analysis. Objective response was observed in 6 out of 51 patients (ORR 12%). There were 4 responders (ORR 16%) in the Nivolumab group and 2 responders (ORR 7.6%) in the Nivolumab and Varlilumab combination group (p = 0.3). None of the 7 patients that crossed over to the experimental group responded to the addition of Varlilumab. The ORR of patients who were previously exposed to CAR-T cell therapy was 13% (5 out of 39) compared to 8.3% (1 out of 12) in the unexposed patients (p > 0.99). The rate of treatment emergent adverse events was similar between groups, and there was no fatal TEAE in the study. The addition of Varlilumab to Nivolumb did not improve outcomes in patients with aggressive B-NHL. Even though this trial was not designed to evaluate immunotherapy as a rescue therapy after CAR-T failure, most patients (76%) had previously received CAR-T therapy, and their outcomes were equally poor.

BET bromodomain inhibitors are efficacious as anti-inflammatory compounds, but clinical translation is hampered by dose-limiting toxicities from non-selective inhibition. We herein report compounds 16 and 26, based on previously reported 4-methyl-1,2,3-triazole-based inhibitor, DW34. 16 has a BRD4 BD1 Ki of 10 nM, and up to 13–38-fold selectivity for BRD4 BD1 over other BD2 domains, and an improved hERG affinity of 4.24 µM over DW34. 26, A biscyclopropyl analog of 16 showed further enhancement of BD1 selectivity over BD2 (26–203-fold), but exhibited more potent hERG inhibition. Compound 16 had improved liver and plasma clearance over DW34, with good biodistribution to the liver, and had an intracellular target-engagement affinity Ki of 92 nM, with reduction of Ccl2, Cxcl1, AST, and ALT in in vitro and in vivo mouse models of liver inflammation. 16 represents a useful lead for treating inflammatory liver diseases, with improved specificity, drug-like properties, and reduced hERG affinity.

Introduction: Frontotemporal lobar degeneration (FTLD) is a devastating disease that commonly results in early onset dementia, yet its rarity and heterogeneity limit large-scale research and clinical trials. Remote monitoring via low-burden digital health tools may overcome these barriers. We evaluated clinical utility of passive smartphone monitoring in FTLD using a multi-domain mobile assessment platform. Methods: Participants were 567 adults (53% clinically normal, 21% prodromal FTLD, 26% symptomatic FTLD) who completed an in-person study visit and downloaded the ALLFTD Mobile App on their personal smartphones. The app delivered unsupervised cognitive tests and passively collected continuous data on battery percentage (proxy for smartphone use) and step count. Longitudinal follow-up included smartphone monitoring and annual in-person study visits. Primary analyses examined associations between passive smartphone features and markers of disease severity at baseline and longitudinally, and tested whether passive features added incremental value beyond app-based cognitive testing. Results: Passive smartphone features were feasible to collect and showed excellent reliability with <2 weeks of monitoring (ICCs>0.9). Features capturing smartphone use and movement demonstrated sensitivity to gold-standard clinical measures of disease severity both at baseline and longitudinally. A classification model combining passive features, the app-based cognitive composite score, and demographics detected longitudinal functional decline (AUC=0.89); passive features alone (AUC=0.84) performed comparably to a cognitive screener (AUC=0.85). Discussion: Passive smartphone monitoring is a valid, zero-burden measure of disease severity and progression in FTLD that adds modest incremental value beyond app-based cognitive testing. Findings support its use as a scalable digital endpoint in longitudinal FTLD research.

Abstract Accurate, noninvasive biomarkers for diagnosis and longitudinal monitoring of metabolic dysfunction–associated steatohepatitis (MASH) remain an urgent unmet clinical need. Here, we describe an electrochemical immunoassay that involves capturing hepatic extracellular vesicles (EVs) on antibody-modified electrodes followed by detecting EV-borne biomarkers using redox active gold nanoparticles (AuNPs). The intensity of electrochemical redox signal represents a quantitative measure of biomarker abundance. Three MASH-associated biomarkers—S100A11, TNF-α, and TGF-β1—were analyzed on hepatic EVs to assess steatotic, inflammatory, and fibrotic states of the diseased liver. The electrochemical signals for individual biomarkers were added into a composite EV MASH score. Plasma samples from 28 patients with MASH, 22 healthy controls, and 27 patients with non-MASH liver disease were scored in this manner, revealing 100% accuracy in the training cohort and >90% accuracy in an independent validation cohort. Our electrochemical immunosensor represents a minimally invasive liquid liver biopsy, offering a promising alternative to solid liver biopsies for screening and monitoring of MASH. One Sentence Summary Circulating hepatic extracellular vesicles carry biomarkers of liver injury enabling accurate, minimally invasive MASH diagnosis in blood.