Citations

This study investigates how word-initial /l/ and /n/ are phonetically realized in Mandarin Chinese as produced by speakers from three regions: Beijing (close to Standard Mandarin), Changsha (where Xiang, which contains /l/ but not /n/, is also spoken locally), and Meizhou (where Hakka, which contains both /l/ and /n/, is also spoken locally), focusing on acoustic cue use and phonological context effects. Using acoustic analysis and random forest classification, we analyzed five acoustic measures (F2–F1 spacing, F3 frequency, BW1, ΔA1, and A1–P0) and evaluated their contribution to distinguishing the two sounds. Results showed that speakers from different regions used distinct cue weighting strategies: Beijing Mandarin speakers relied more on spectral cues, Meizhou Mandarin speakers showed greater reliance on nasality-related cues, and Changsha Mandarin speakers combined both, with greater variability. Phonological context, including preceding nasals and following vowels, further modulated cue realization in region-specific ways. These findings demonstrate how native phonological background and phonological environment shape the phonetic implementation of a shared Mandarin contrast and illustrate the value of combining acoustic and classification-based approaches for modeling gradient phonetic variation.

Abstract Multiple myeloma (MM) is a heterogenous cancer that remains mostly incurable. A unifying feature of MM cells is a highly interconnected network of transcription factors and co-factors that coordinate the activity of super-enhancers to enforce myeloma cell identity. Targeting this network offers a promising avenue for therapeutic intervention across genetically diverse myeloma sub-types. Using integrated molecular and functional genomic approaches we identified Menin as a key driver of oncogenic gene expression in MM cells. Menin and its co-factor KMT2A bind at super-enhancers and maintain expression of essential myeloma genes, including IRF4. We demonstrate that Menin inhibitors, which have recently been approved for treatment of acute myeloid leukaemia, are highly active in myeloma cell lines and in vivo models. Combining Menin inhibitors with other super-enhancer targeting therapies such EP300/CREBBP inhibitors or immunomodulatory drugs (IMiDs) overcomes epigenetic plasticity in cells resistant to single agent treatment.

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.

ABSTRACT Background Plasma cell mucositis (PCM) is a rare, chronic inflammatory condition of mucosal surfaces that is likely underdiagnosed and underreported, with limited data on its clinical characteristics, extracavitary involvement, and treatment outcomes. Objectives To characterize the clinical presentation, comorbidities, and treatment patterns of PCM in a cohort of patients from a tertiary care center. Methods We conducted a retrospective cohort study of histopathologically confirmed PCM cases diagnosed at a tertiary care center between 2004 and 2024. Cases were identified based on clinicopathologic correlation demonstrating a polyclonal plasma cell–rich infiltrate. Demographic data, clinical features, comorbidities, laboratory findings, and treatment outcomes were collected and analyzed descriptively. Results Ten patients were included, of whom 7 (70%) were aged ≥ 50 years and 6 (60%) were male. Genital involvement was observed in 6 patients (60%), whereas oral involvement occurred in 4 (40%). Symptom duration exceeded 2 years in 6 patients (60%). Concurrent malignancies were identified in 4 patients (40%), and autoimmune conditions in 2 (20%). Treatment responses were heterogeneous; topical corticosteroids were the most consistently effective therapy, while systemic immunosuppressive agents were required in 3 patients (30%) with variable outcomes. Patch testing identified contact allergens in 2 patients, with improvement following allergen avoidance. Conclusions PCM is a rare and often chronic condition with heterogeneous clinical manifestations and variable therapeutic responses. Genital involvement may be more common than previously recognized. Management remains challenging, highlighting the need for improved understanding of disease pathogenesis and development of more effective treatment strategies.

Context: Early palliative care can improve end-of-life outcomes, but referrals to palliative care specialists can be delayed in the primary care setting. Objective: This pilot study assessed the effect of a machine-learning algorithm on time to palliative care in a primary care population. Methods: Patients (aged ≥18 years) were eligible if they were empaneled with a primary care provider (PCP) from July 20, 2020, through May 30, 2021. The algorithm evaluated their health records and presented patients who were predicted to have the greatest need for palliative care. Records were then reviewed by palliative care specialists, and patients were randomized in a stepped-wedge fashion to have a referral notification sent to their PCPs if unmet palliative care needs were verified. Time-to-event outcomes were evaluated with Poisson regression models. Results: Of the 127,080 patients evaluated, 934 had their health records presented for review. Some patients were repeatedly presented by the algorithm (total presentations: 1592). In the intervention arm, PCPs were prompted to order a palliative care consultation for 142 patients. The time to 0.1% of the population receiving a palliative care consultation was 60.9 days for the intervention arm versus 71.8 days for the control arm (probability of a shorter time with the intervention, 0.88). Conclusion: A machine-learning algorithm to identify palliative care needs was successfully integrated into a primary care practice. More work is needed to improve the workflow.

ABSTRACT Prior surveys of chronic automated red blood cell exchange (RCE) for patients with sickle cell disease (SCD) have identified considerable procedural variability, especially with the use of isovolemic hemodilution red blood cell exchange (IHD‐RCE). We conducted a survey of chronic RCE practices among American Society for Apheresis (ASFA) members to identify opportunities for practice harmonization and future studies. The ASFA SCD Research Subcommittee developed a 72‐item survey of chronic RCE practices, with a focus on IHD‐RCE. The survey was validated internally and distributed by email to all ASFA members from September 2024 to February 2025. One survey response from each institution was retained for data analysis. Descriptive statistics were performed. Sixty‐two survey responses, including three from international institutions, were retained for analysis. Sixty‐one percent of respondents (38/62) reported using at least one fixed RCE target, with end hematocrit being the most common fixed parameter (40%, 25/62), followed by fraction of cells remaining (31%, 19/62) and hemoglobin S% (27%, 17/62). Most respondents (60%, 37/61) performed IHD‐RCE at their institution, though other details such as the minimum hematocrit, exclusion criteria, and response to adverse effects were variable. Consistent pre‐ and post‐RCE laboratory monitoring practices were reported. Consistent with earlier surveys, procedural variability in chronic RCE practices for patients with SCD is observed. This highlights opportunities to compare outcomes where practice variability exists. Consensus guidelines based on institutional practices with optimal outcomes should be developed.

Introduction Large-scale production of mammalian cells is pivotal for applications in biotechnology, regenerative medicine, and therapeutic manufacturing. However, current bioreactor technologies face significant technical and economic challenges, including excessive cell aggregation, shear stress-induced cell death, batch-to-batch inconsistencies, and limited scalability. We propose that engineering a cell-friendly microenvironment can enhance culture efficiency. Previously, we developed alginate hydrogel microtubes (AlgTubes) that significantly improved cell density and growth rates; however, AlgTubes lack adhesion sites essential for anchorage-dependent cells and frequently break, causing cell leakage and production inconsistencies. Methods To address these limitations, we reinforced AlgTubes with collagen nanofibers, creating collagen-alginate hybrid hydrogel microtubes (ColAlgTubes). Collagen was integrated to form a dense nanofiber network interwoven with the alginate mesh, with the dual aim of enhancing mechanical properties and providing cell adhesion sites. ColAlgTubes were fabricated to maintain cell mass within a 400 μm diameter to ensure efficient nutrient exchange and waste removal. Results ColAlgTubes successfully formed a reinforced hybrid hydrogel structure in which the collagen nanofiber network improved the mechanical integrity of the alginate matrix while supplying adhesion sites for anchorage-dependent cells. The optimized 400 μm diameter microenvironment supported high cell viability, rapid proliferation, and exceptional yields of 5 × 10 8 cells/mL. Discussion These results demonstrate that ColAlgTubes overcome the key limitations of AlgTubes by combining structural reinforcement with biological functionality. The improved mechanical properties reduce tube breakage and cell leakage, while collagen-derived adhesion sites broaden compatibility to anchorage-dependent cell types. With their scalability, cost-effectiveness, and high efficiency, ColAlgTubes represent a transformative solution for large-scale mammalian cell production across biotechnology, regenerative medicine, and therapeutic manufacturing.

Abstract INTRODUCTION Women are increasingly entering the dementia research workforce, but they frequently fail to attain senior leadership positions in academia. Discrepancies in academic research outputs were investigated to guide equity‐focused policy recommendations. METHODS Bibliometrics was conducted on 400,482 original research articles (2003–2022) followed by surveying the AD/ADRD research community, to quantitatively and qualitatively evaluate discrepancies in publication and authorship trends. In addition, an unsupervised learning algorithm was developed to analyze underlying relationships between author groups. RESULTS Male author gender was consistently predictive of better publication and citation metrics across all bibliometrics outcomes, with senior male authors outperforming all other subgroups and fewer senior female authors in most research areas. Female survey respondents reported more barriers, but comparable productivity and citation strategies as male authors. DISCUSSION Multi‐pronged approaches by stakeholders across institutions, funders, and journals are necessary to provide career support for early‐career scientists working to transition to senior research roles.