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Acute lymphoblastic leukemia (ALL) is the most common pediatric cancer, arising from both B and T cell lineages (B-ALL and T-ALL). Current therapy exploits ALL cells’ low expression of asparagine synthetase (ASNS) by using L-asparaginase, a bacterial enzyme that depletes circulating asparagine. However, resistance can emerge through induction of ASNS, mediated in part by the amino acid stress sensor GCN2. In this study, we addressed the efficacy of L-asparaginase in combination with genetic or pharmacological inhibition of GCN2 and the ASNS inhibitor ASX-173. Using a Kras G12D -driven mouse model of T-ALL, we found that GCN2 is dispensable for leukemogenesis. However, genetic inactivation or pharmacologic inhibition of GCN2 sensitized ALL cells to asparagine depletion, correlating with impaired ASNS induction. While GCN2 targeting enhanced sensitivity to asparagine depletion, a subset of Gcn2 –/– T-ALL cells retained high ASNS expression and remained resistant to L-asparaginase. Likewise, some human T-ALL cells with elevated ASNS levels were refractory to GCN2 inhibition even under asparagine-depleted conditions. When combined with L-asparaginase, ASX-173 effectively eliminated ASNS hi leukemic cells in vitro and in vivo. These findings suggest that direct targeting of ASNS provides therapeutic benefit in leukemias that express high levels of ASNS and are resistant to GCN2 inhibition under asparagine-depleted conditions.

7516 Background: With the growing use of anti-CD38 therapies in early multiple myeloma (MM) management, there is a need for data in patients previously exposed to anti-CD38 therapy to guide decision making. In the Phase 3 IRAKLIA trial (NCT05405166), patients with relapsed/refractory MM (RRMM) received the anti-CD38 monoclonal antibody isatuximab (Isa) subcutaneously (SC) delivered via an innovative on-body injector (OBI) or intravenously (IV), with pomalidomide and dexamethasone (Pd). In this post hoc analysis, we examined outcomes in IRAKLIA patients with vs without prior anti-CD38 exposure. Methods: RRMM patients ≥18 years with ≥1 prior line of therapy including lenalidomide and a proteasome inhibitor were randomized to receive Isa SC (n=263) or IV (n=268) weekly in Cycle 1, then every 2 weeks, with Pd. Patients with prior anti-CD38 exposure <9 months (mos) before randomization or intolerance to anti-CD38 were excluded. Refractory patients were defined as those who failed to achieve minimal response on treatment or had progression within 60 days after last dose. Patients receiving Isa SC or IV were pooled. Results: Overall, 67 patients (12.6%) had prior anti-CD38 exposure with a median washout period of 20.2 mos, of which 26 (38.8%) were anti-CD38 refractory. Baseline characteristics were largely consistent between patients with or without prior anti-CD38 exposure; the median follow-up for the overall population was 12 mos. Patients with prior anti-CD38 exposure had an overall response rate (ORR) of 52.2%, 12-mo progression-free survival (PFS) rate of 40.6%, and median PFS of 8.5 mos. In patients without prior exposure, an ORR of 73.5%, 12-mo PFS of 68.8%, and non-estimable (NE) median PFS were reported. Anti-CD38 non-refractory vs refractory patients had an ORR of 48.8% vs 57.7%, 12-mo PFS of 38.9% vs 42.2%, and median PFS of 9.0 vs 7.5 mos. Patients with a longer washout period (>median of 20.2 mos) had an ORR of 63.6%, 12-mo PFS of 61.8% and NE median PFS, whereas patients whose prior anti-CD38 therapy ended more recently (≤median of 20.2 mos) had an ORR of 41.2%, 12-mo PFS of 19.2%, and median PFS of 6.7 mos. The safety profile of Isa + Pd was similar in patients with vs without prior anti-CD38 exposure. Conclusions: Isa + Pd demonstrated clinical benefit across anti-CD38–naïve, anti-CD38–exposed, and anti-CD38–refractory patients. A washout period >median of 20.2 mos resulted in outcomes comparable to those in anti-CD38–naïve patients, and outcomes were consistent between anti-CD38–exposed and anti-CD38–refractory patients after a >9-mo washout period. Efficacy of Isa + Pd in patients with prior anti-CD38 exposure from the IRAKLIA trial presents an opportunity to address an unmet need in a difficult-to-treat patient population. Clinical trial information: NCT05405166 .

Chronic hepatitis B (CHB), a major global public health burden, is characterized by the presence of high circulating levels of non-infectious subviral particles (SVPs). These SVPs are mainly composed of small hepatitis B surface antigen (SHBs) and are associated with a dysfunctional HBV-specific immune response. Previous studies exploring the cellular mechanisms and molecular pathways by which SVPs are secreted from hepatocytes have utilized either non-hepatic cells or whole-genome HBV-integrated hepatoma cell lines in which SHBs can also be secreted as a component of the virion envelope. In this study, we provide a detailed examination of SHBs trafficking using biochemical approaches coupled with high-resolution confocal microscopy and live-cell imaging via a novel fluorophore-tagged SHBs probe in both HepG2 and primary human hepatocytes stably expressing SHBs. Our results provide evidence that SHBs utilize a modified ER-Golgi secretory pathway with transit from the ER to the multivesicular body and lysosomal/late endosomal compartments. Importantly, we identified the autophagy adapters ATG5 and LC3B, and the ER-phagy protein atlastin 3 (ATL3), central to mediating SHBs secretion. These findings suggest that SHBs is trafficked through a non-canonical path for secretion and provides new potential therapeutic targets for the treatment of CHB.

Background Tacrolimus dosing after kidney transplantation is complex, highly individualized, and prone to variability, which can impact graft outcomes. While machine learning (ML) approaches have been used primarily to predict tacrolimus concentrations, large language models (LLMs) may enable protocol-constrained clinical decision support by generating dosing recommendations aligned with established treatment guidelines. Methods We developed TacroDose AI, a protocol-constrained LLM based on GPT-4, to generate tacrolimus dosing recommendations aligned with institutional guidelines. Using 300 structured simulated clinical scenarios, we evaluated protocol adherence, error patterns, and reproducibility of model-generated dosing recommendations. Following review of initial outputs, a refined prompt ( TacroAI 2.0 ) was implemented to strengthen protocol constraints and structured output verification, and performance was reassessed. Results TacroDose AI achieved 72.9% protocol adherence, with 27.1% protocol deviations, including 13.9% sentinel errors with potential clinical significance. Prompt refinement substantially improved performance: TacroAI 2.0 achieved 91.7% adherence, reduced sentinel errors to 1.0%, and improved reproducibility from 77.3 to 86.7% (all p &lt; 0.01). Although rounding discrepancies increased, these represented minor numerical differences without clinical relevance. Performance improvements were observed across subtherapeutic, therapeutic, and supratherapeutic tacrolimus scenarios. Conclusion Protocol-constrained LLMs can produce guideline-concordant tacrolimus dosing recommendations with high adherence and improved reliability in simulated clinical settings. These findings highlight a potential framework for integrating generative AI with rule-based clinical protocols to support safe medication management. With further validation using real-world data, such systems could be integrated into electronic health records to support clinician-supervised, protocol-based immunosuppressive dosing in transplant care.

Abstract Introduction Ultrasonic vaping devices like SURGE are marketed as safer alternatives to conventional coil-based electronic cigarettes like JUUL due to their lower operating temperatures. However, their impact on cardiovascular health has not been fully characterized. Methods Sprague–Dawley rats were exposed daily for 9 weeks to aerosol generated from SURGE, JUUL, or clean air. Heart rate variability was continuously monitored via implanted telemetry. Cardiac fibrosis was quantified using histological analysis. Temperature profiles of SURGE, JUUL, and Nautilus (a coil-based tank device) were recorded. Aerosol samples were analyzed for carbonyl compounds using high-performance liquid chromatography. Results Both SURGE and JUUL exposures significantly reduced heart rate variability (high frequency and total power) compared with air. JUUL exposure significantly increased cardiac fibrosis; SURGE showed a similar mean fibrosis level but greater variability, resulting in a non-significant difference. SURGE devices operated at lower peak temperatures (~131°C) than JUUL (~239°C) and Nautilus (~160–170°C). Despite having the lowest temperature, SURGE emitted higher levels of carbonyl compounds than JUUL, although still substantially lower than Nautilus. Conclusions Although SURGE operates without coils and at lower temperatures than coiled vaping devices, it generates higher levels of carbonyls than some coiled devices and impairs cardiac autonomic regulation, and it can cause cardiac fibrosis comparable with JUUL although with high variability; that is, SURGE does not reliably avoid the increase in fibrosis caused by conventional electronic cigarettes. These findings suggest that non-thermal mechanisms predominate in mediating cardiovascular toxicity associated with ultrasonic vaping, challenging the assumption that coil-free designs are inherently safer. Implications Despite its lower operating temperature and coil-free design, the SURGE ultrasonic vaping device impaired cardiac autonomic function and promoted fibrosis at a mean level comparable to that of JUUL. These findings challenge claims of reduced harm from coil-less vaping technologies and suggest that non-thermal mechanisms may drive toxicity. Regulatory evaluations should consider device emissions and physiological outcomes—not just hardware features. Physicians and policymakers should be aware that coil-less systems may still pose cardiovascular risks, and marketing these devices as inherently safer may mislead users and undermine tobacco harm reduction efforts.

Abstract Context Prior reports of plasma estradiol concentrations and their reference ranges in postmenopausal women identified marked variation, in part due to assay method and body mass index (BMI). Objective To develop an international reference range for plasma estradiol in postmenopausal women, support accurate assessment of concentrations during systemic and local (eg, vaginal) estradiol therapy, and improve risk prediction for diseases, including osteoporosis, breast, and endometrial cancers. Methodology Estradiol concentrations were measured using primarily liquid chromatography-tandem mass spectrometry (LC-MS/MS) assays in 5 international cohorts of community-dwelling, postmenopausal women of primarily European ancestry aged 38-100 years who were not using exogenous estrogens (n = 7206). Measurements were harmonized to the Centers for Disease Control and Prevention (CDC) reference measurement procedure (RMP) by re-assaying a subset of samples for each cohort and generating recalibration equations. Reference intervals were determined for all women, non-obese women, and specific BMI categories. Results Estradiol concentrations from separate LC-MS/MS assays correlated closely with the CDC RMP, and harmonization minimized inter-assay variability. Estradiol concentrations correlated with BMI but not with chronological age. The reference range (2.5th-97.5th percentile) was 1.1-18.2 pg/mL (4.0-66.8 pmol/L) with median of 4.9 pg/mL (18.0 pmol/L) for all postmenopausal women and 1.1-12.5 pg/mL (4.0-45.9 pmol/L) with median of 4.1 pg/mL (15.1 pmol/L) for non-obese women (BMI &lt; 30). Reference ranges increased progressively with higher BMI categories. Conclusion Cross-calibration of estradiol measurements with the CDC RP enabled the development of harmonized plasma estradiol reference ranges for postmenopausal women who were not using exogenous estrogens, suitable for future studies to establish clinical utility. Increasing obesity in postmenopausal women was associated with increasing estradiol concentration and BMI category-specific reference ranges.

Abstract Introduction Low-sodium oxybate (LXB; Xywav®), the only FDA-approved treatment for idiopathic hypersomnia in adults, was evaluated in the phase 4, open-label DUET study (NCT05875974). This post-hoc analysis evaluated subgroups of participants with idiopathic hypersomnia stratified by patient-reported ideal nighttime sleep duration (with [&gt;9 hours] and without [≤9 hours] long sleep need [LSN]), based on Idiopathic Hypersomnia Severity Scale (IHSS) Item 1. Methods DUET included screening, 8-day baseline (BL), 2−8-week LXB dose titration/optimization, 2-week stable-dose, 8-day end-of-treatment (EOT), and 2-week safety follow-up periods. Outcomes were Epworth Sleepiness Scale (ESS), IHSS, polysomnographic total sleep time (TST), and Patient Global Impression of Severity (PGI-S) and Change (PGI-C). Least squares mean (LSM) changes (BL-to-EOT) were BL-adjusted; P values are nominal. Treatment-emergent adverse events (TEAEs) were assessed by subgroup. Results Of 46 enrolled participants with idiopathic hypersomnia, 45 had BL IHSS data; 24 reported LSN (&gt;9 hours) and 21 reported no LSN (≤9 hours). Most (LSN/without LSN) were female (100%/61.9%) and White (91.7%/76.2%), with mean±SD age 36.8±11.1/38.6±12.1 years; 20/24 and 19/21 completed the study. BL mean±SE (LSN/without LSN) ESS scores were 16.8±0.5/16.1±0.7; LSM changes (95% CI): LSN −9.5 (−11.5, −7.6; P&lt; 0.0001; n=20), without LSN −7.4 (−9.4, −5.4; P&lt; 0.0001; n=19). BL mean±SE (LSN/without LSN) IHSS total scores were 35.7±1.3/30.5±1.8; LSM changes (95% CI): LSN −18.3 (−22.4, −14.1; P&lt; 0.0001; n=19), without LSN −12.5 (−16.9, −8.0; P&lt; 0.0001; n=17). BL mean±SE (LSN/without LSN) IHSS long sleep/sleep inertia component scores were 12.5±0.6/9.2±0.6; LSM changes (95% CI): LSN −5.5 (−6.8, −4.1; P&lt; 0.0001; n=19), without LSN −4.0 (−5.4, −2.5; P&lt; 0.0001; n=17). BL mean±SE (LSN/without LSN) polysomnographic TSTs were 490.0±26.0/442.7± 24.7 minutes; LSM changes (95% CI): LSN −53.1 (−92.5, −13.7; P=0.0097; n=20), without LSN −59.4 (−99.8, −18.9; P=0.0052; n=19). On the PGI-C, most participants (LSN/without LSN) endorsed improved overall disease (100%/88.2%; n=19/n=17) at EOT. TEAEs were reported in 79.2% (LSN) and 66.7% (without LSN); most (LSN/without LSN) were mild (45.8%/42.9%) or moderate (33.3%/23.8%) in severity; 1 (without LSN) was serious (unrelated to study drug). Conclusion Participants with or without LSN (&gt;9 hours or ≤9 hours, respectively) taking LXB showed improvements in multiple idiopathic hypersomnia symptoms and reduced TST. Support (if any) Jazz Pharmaceuticals

Abstract Introduction Jazz DUET (Develop hypersomnia Understanding by Evaluating low-sodium oxybate Treatment; NCT05875974) was the first study to evaluate effectiveness/safety of low-sodium oxybate (LXB; Xywav®) &gt;9 g/night (outside the recommended range: 6–9 g/night). This analysis evaluated changes in patient-reported hypersomnolence measures in participants with narcolepsy taking LXB &gt;9 g/night compared with LXB 9 g/night. Methods DUET was a phase 4, prospective, open-label study with screening, 8-day LXB 9 g/night (9g-baseline), titration/optimization, stable-dose, and 8-day end-of-treatment (EOT) optimized LXB &gt;9 g/night (up to 12g; &gt;9g-EOT) periods. Patient-reported measures included Epworth Sleepiness Scale (ESS), electronic sleep diaries (completed daily during 9g-baseline and &gt;9g-EOT; subjective total sleep time [TST], number of awakenings, sleep efficiency [TST divided by time in bed], sleep quality [5-point scale; “very good” to “very poor”], and how rested/refreshed the participant felt upon awakening [5-point scale; “very well” to “not at all”]), Karolinska Sleepiness Scale (KSS; administered 90 minutes post-polysomnography awakening at 9g-baseline and &gt;9g-EOT), and Functional Outcomes of Sleep Questionnaire-10 (FOSQ-10). LSM differences (95% CI) from 9g-baseline to &gt;9g-EOT (nominal P-values) were 9g-baseline-adjusted. Results Forty-eight participants took LXB &gt;9g (mean±SD age: 39.2±10.9 years; 62.5% female). Total stable-dose LXB (mean±SD) was 11.1±1.0 g/night (n=45). From 9g-baseline to &gt;9g-EOT, ESS scores improved (LSM [95% CI]: –3.1 [–4.2, –1.9]; P&lt; 0.0001; n=44), nocturnal TST increased (0.3h [0.1, 0.4]; P=0.0163; n=26), sleep efficiency increased (3.8% [1.7, 5.9]; P=0.0011; n=26), and number of awakenings remained stable (–0.2 [–0.7, 0.3]; P=0.3959; n=26). Percentage of participants rating sleep quality as “very good”/”good” increased from 26.9% (9g-baseline) to 61.5% (&gt;9g-EOT), as did rested sleep (“very well”/”well”/”somewhat” rested) from 57.7% to 69.2%, respectively. From 9g-baseline to &gt;9g-EOT, KSS scores decreased (–0.9 [–1.4, –0.4]; P=0.0004; n=39); FOSQ-10 scores also increased (1.3 [0.5, 2.0]; P=0.0014; n=40). Of 48 participants, 36 (75.0%) experienced ≥1 TEAE (mostly mild/moderate and 1 serious [syncope, unrelated to treatment]). No changes in respiratory polysomnography measures were observed. Conclusion Participants with narcolepsy who optimized to LXB &gt;9 g/night, relative to 9 g/night, reported increased sleep quality and restfulness that paralleled improvements in daytime sleepiness and daytime functioning. TEAEs were consistent with those at lower dosages. Support (if any) Jazz Pharmaceuticals

Abstract Introduction People with idiopathic hypersomnia often experience sleep inertia, characterized by profound difficulty waking up with grogginess, disorientation, and cognitive impairment immediately after awakening. This post-hoc analysis of the DUET study (NCT05875974) evaluated objective and subjective sleep inertia in participants with idiopathic hypersomnia taking low-sodium oxybate (LXB; Xywav®) stratified by patient-reported ideal nighttime sleep duration (with [&gt;9h] and without [≤9h] long sleep need [LSN]), based on Idiopathic Hypersomnia Severity Scale (IHSS) item 1. Methods DUET was a phase 4, prospective, open-label study of LXB with baseline (BL), titration/optimization, stable-dose, and end-of-treatment (EOT) periods. Exploratory outcomes included Psychomotor Vigilance Test (PVT; objective performance impairment) and Karolinska Sleepiness Scale (KSS; subjective sleepiness), administered BL and EOT, in the morning after overnight polysomnogram. The 10-minute PVT was completed at 10, 40, and 90 minutes after awakening. The KSS, a single-item, 9-point scale, was completed upon awakening and immediately before/after PVT assessments. Separate nonlinear, mixed-effects regression models were applied to PVT lapses and KSS ratings to estimate objective and subjective sleep inertia magnitudes, respectively, in LSN subgroups, along with sleep inertia dissipation time constants for the overall cohort. Treatment-emergent adverse events (TEAEs) were assessed. Results Of 46 enrolled participants with idiopathic hypersomnia, 45 had BL IHSS data; 24 reported LSN and 21 reported no LSN. Most (with/without LSN) were female (100.0%/61.9%) and White (91.7%/76.2%); 20/24 and 19/21 completed the study. Based on PVT lapses, objective sleep inertia ±SE (with/without LSN) at BL was 17.0±4.2/4.2±2.8, and at EOT was 0.0±na/2.0±0.9 (BL-to-EOT changes [95% CI]: −17.0 [−25.5, −8.5] and −2.2 [−6.9, 2.5]). Based on KSS, subjective sleep inertia ±SE (with/without LSN) at BL was 6.5±0.3/5.1±0.5, and at EOT was 0.81±0.5/1.5±0.6 (BL-to-EOT changes [95% CI]: −5.7 [−6.7, −4.7] and −3.5 [−4.5, −2.6]). Sleep inertia dissipation time constants ±SE were 2.7±1.1h (PVT) and 13.9±3.8h (KSS). TEAEs were consistent with the known LXB safety profile. Conclusion Participants with idiopathic hypersomnia experienced subjective and objective sleep inertia at BL, with prolonged dissipation after awakening. Objective BL sleep inertia was particularly severe in participants with LSN (&gt;9h). After LXB treatment, notable improvements in objective and subjective sleep inertia were observed for both subgroups. Support (if any) Jazz Pharmaceuticals