Citations

Abstract The development of biocompatible and biologically responsive scaffolds remains a key challenge for bone tissue engineering. Here, we report an enzyme-degradable, metal-free click-cross-linked organic–inorganic nanohybrid (Enz-Deg-Click-ON) scaffold with high biocompatibility for bone repair. The formulation was synthesized using a cyclooctyne-functionalized poly(propylene fumarate) polyphosphoester (PPF-poly(PE-BCN)) and azide-terminated dendritic polycaprolactone (PCL) with a polyhedral oligomeric silsesquioxane core (POSS-PCL-N3) via strain-promoted alkyne-azide cycloaddition (SPAAC) bioorthogonal click chemistry. The incorporation of phosphate-containing linkages enabled alkaline phosphatase (ALP)-responsive degradation. The scaffold exhibited rapid catalyst-free crosslinking, tunable swelling, and suitable mechanical properties. In vitro studies demonstrated excellent cytocompatibility, robust stem cell proliferation, and enhanced osteogenic differentiation with an elevated level of ALP and Runx2 expression. Enzyme-triggered degradation was confirmed in the presence of ALP. In the in vivo rat calvarial defect model, the scaffold significantly improved bone regeneration, as shown by an increased bone volume, mineral density, and defect coverage. Histological and immunofluorescence analyses revealed enhanced collagen deposition, angiogenesis, and osteogenesis. These results indicate that the Enz-Deg-Click-ON system provides a dynamic, bioresponsive platform for bone repair.

Abstract Orthoebolaviruses, including Ebola virus (EBOV) and Bundibugyo virus (BDBV), cause sporadic outbreaks and devastating hemorrhagic infections in humans. A significant challenge that impedes the study of filoviruses is that the infectious virus can only be handled in biosafety level 4 (BSL4) facilities due to their extreme virulence. Life cycle modeling systems that use minigenomes and transcription/replication-competent virus-like particles (trVLPs) are powerful tools for studying these virus’ biology and to explore antiviral therapies under BSL2 conditions. To date, these powerful tools have only been utilized in vitro in cell culture systems. In this work, we demonstrate the use of EBOV trVLPs in vivo. We report the fine specificity of first infection events in a model of EBOV injection in the skin. Cre recombinase expressing monocistronic EBOV trVLPs were packaged and used to inject Cre reporter mice intradermally (ID). Initial infection events were monitored in living animals by luciferase imaging and then by flow cytometry to track cell-specific expression of Cre-activated GFP. By this approach, EBOV trVLPs were shown to directly infect T cells, monocytes, dendritic cells (DCs) with notably high first infections of skin-resident Langerhans cells (LCs) in the skin barrier and its draining lymph node. EBOV trVLPs were next tested as an in vivo tool to assess antiviral therapies by testing the ability of an EBOV vaccine to reduce trVLP luciferase levels after infection in the skin. This work demonstrates first in vivo use of EBOV trVLPs and provides proof of concept for their use as an in vivo BSL2 model to more rapidly develop antiviral agents and vaccines.

Background Disruption in rest‐activity rhythm (RAR) is an emerging risk factor for cardiovascular disease (CVD) and mortality, but the strength of evidence is unclear. Therefore, we conducted a systematic review and meta‐analysis to assess associations between RAR characteristics and cardiovascular disease incidence or prevalence, cardiovascular mortality, and all‐cause mortality. Methods A systematic search was conducted in PubMed, Web of Science, Cochrane Library, and Embase for cohort or cross‐sectional studies published up to August 2025. The exposure variables were nonparametric RAR parameters, including interdaily stability (describing day‐to‐day stability of the RAR), intradaily variability (a measure of RAR fragmentation), and relative amplitude (indicating robustness or strength of the RAR). The primary outcomes were cardiovascular mortality and all‐cause mortality. The secondary outcomes included cardiovascular disease prevalence and incidence. Results Seven studies involving 109 365 participants were included. Pooled results showed that higher intradaily variability was associated with a significantly increased risk of all‐cause mortality (hazard ratio [HR], 1.05 [95% CI, 1.02–1.09]) and cardiovascular disease prevalence (odds ratio, 1.73 [95% CI, 1.21–2.47]). Lower relative amplitude was significantly associated with higher cardiovascular mortality (HR, 1.50 [95% CI, 1.13–1.98]) and all‐cause mortality (HR, 1.46 [95% CI, 1.27–1.68]). Interdaily stability showed no significant associations with any outcome. Conclusions Measures of disrupted rest‐activity rhythms were associated with increased cardiovascular mortality, and all‐cause mortality. These findings support using RAR metrics as early, noninvasive risk indicators. Future work should investigate whether appropriately timed physical activity and sleep, as well as other interventions targeting RAR can mitigate cardiovascular risk.

Endocrine therapy remains the cornerstone of treatment for estrogen receptor alpha (ERα)-positive breast cancer, yet the relationship between individual genetic background and molecular response to ERα-targeted therapy remains incompletely understood. Using a well-characterized panel of lymphoblastoid cell lines (LCLs), we performed genome-wide pharmacogenomic expression quantitative trait locus (PGx-eQTL) analysis to identify estradiol (E2)- and tamoxifen (TAM)-induced SNP-gene pairs. PGx-eQTL signals were integrated with previously published breast cancer genome-wide association study datasets to examine their association with clinically relevant breast cancer phenotypes. We identified two ER-mediated PGx-eQTL SNP-gene pairs associated with breast cancer prognosis post-treatment with E2 or TAM. Notable loci included E2-regulated MRPL15 and TAM-regulated SYCP3, which have effects in a genotype-dependent manner, with genotype-dependent survival outcomes, from worse to better relapse-free survival. Similar endocrine-therapy effects on patient survival and breast cancer risk were observed in SIK2, post TAM-treatment, and in LSM4 with E2-treatment. Moreover, qRT-PCR validation in an independent LCL panel confirmed the genotype-specificity of these signals. Overall, we identified ER-mediated PGx-eQTL SNP-gene pairs which represent potential pharmacogenomic tools for identifying patients likely to benefit from ERα-targeted endocrine therapy, offering a foundation for more genotype-informed individualized treatment decisions in breast cancer.

Health care organizations are rapidly adopting artificial intelligence (AI)-enabled tools, yet nurse leaders often lack a clear framework to evaluate, govern, and safely scale these technologies. This article presents a practical, system-level AI governance model grounded in risk mitigation, interdisciplinary partnership, and nursing leadership decision rights commonly enacted through nursing professional governance structures. We outline core components of an effective governance structure, including clinical usefulness, safety and reliability, fairness and inclusiveness, transparency and explainability, privacy and security, and organizational accountability. Real-world examples illustrate how nurse executives can guide responsible AI adoption to reduce cognitive load, improve documentation efficiency, and enhance patient outcomes. The framework equips nursing leaders with actionable strategies and practical workflow checklist to lead AI transformation in complex health care environments.

Abstract Identification of gene expression changes in post-mortem brain tissue of Alzheimer’s disease donors compared to controls have implicated numerous biological pathways for Alzheimer’s disease pathophysiology. Nonetheless, there is still limited understanding of how gene expression dysregulation underpins specific proteinopathies core to Alzheimer’s disease. Here we investigate brain transcriptomic changes in a well characterized cohort of Alzheimer’s disease donors to identify genes and networks that associate with Alzheimer’s disease endophenotypes including neuropathology measures (Braak stage, Thal phase and cerebral amyloid angiopathy score) and Alzheimer’s disease-related brain protein levels (Apolipoprotein E, Amyloid-β 40, Amyloid-β 42, tau, and phospho-Tau). Bulk transcriptome measures were collected from the temporal cortex tissue of 477 Alzheimer’s disease donors. Following quality control, transcriptome-wide association studies were performed for each endophenotype. We used weighted gene co-expression network analysis to build co-expression networks and integrated transcriptome with epigenetic and genetic data from the same donors. We detected a total of 5,740 Bonferroni significant temporal cortex gene associations with Alzheimer’s disease endophenotypes, most of which were with brain tau levels. We discovered tau-associated co-expression modules enriched in known and novel Alzheimer’s disease pathways. We found that a beneficial (or neutral) brain biochemical state of higher total tau and lower phospho-Tau are associated with increased levels of synaptic, DNA damage/repair, nucleic acid metabolism and myelin processes. In contrast, in a detrimental state of lower total and higher phospho-Tau, there is upregulation of vascular and immune, and downregulation of mitochondrial and myelin pathways. There are brain gene expression perturbations that are associated with Alzheimer’s disease endophenotypes. While some of these associations are common across multiple endophenotypes, many are distinct for different Alzheimer’s disease-related proteins. Based on these findings, we propose a hypothetical model of dynamic brain gene expression changes that track with progressive Alzheimer’s disease proteostasis. These expression changes hold potential to serve as dynamic, precision biomarkers of brain Alzheimer’s disease progression. This study demonstrates the potential of integrative multiomics and deep Alzheimer’s disease endophenotype analyses in well-characterized brain tissues to uncover with precision the complex biology of Alzheimer’s disease.

Alcohol-associated liver disease (ALD) is a growing global health concern, with alcohol-associated hepatitis (AH) leading to the highest morbidity and mortality. Available therapies are limited and often inadequate. Platelets contribute in a variety of ways to liver disease pathogenesis, but their role in AH remains largely unexplored. In this study, we addressed the hypothesis that platelets contribute to pathological inflammation in AH. Using patient samples and a multiomics approach, we found that platelets undergo proinflammatory transcriptomic and proteomic changes in AH, with 2 alarmins, S100A8 and S100A9, being among the top upregulated genes/proteins. Additionally, the abundance of platelet-derived microparticles containing S100A8 and S100A9 in AH patient plasma was increased and correlated with disease severity (assessed by model for end-stage liver disease sodium [MELD-Na]) and endotheliopathy (assessed by ICAM1, CXCL8, and vWF). We mechanistically linked S100A9 with endotheliopathy via crosstalk between primary human liver sinusoidal endothelial cells and primary human monocytes. We also demonstrated that IL-6 upregulates S100A9 in megakaryocytic cells in a JAK/STAT-dependent manner, modeling changes occurring in the bone marrow in patients with AH. Our studies establish proinflammatory platelets as important contributors to AH pathology. Moreover, antiplatelet agents — or, more specifically, S100A9 targeted drugs — are potential therapeutic strategies in AH.

Abstract Topic Benign Disease: Eosinophilic Esophagitis Background Active inflammation in eosinophilic esophagitis (EoE) disrupts the mucosal barrier, leading to dilated intercellular spaces and decreased transepithelial electrical resistance. Mucosal impedance (MI) has been used to assess mucosal integrity in EoE. We evaluated whether baseline MI measured by high-resolution impedance manometry (HRIM) distinguishes active and inactive EoE. Methods We retrospectively reviewed data from patients with EoE who underwent endoscopic esophageal biopsies within three months of HRIM from 2018-2026 at our tertiary referral center and had no treatment changes between studies. We excluded patients with a history of foregut surgery, erosive esophagitis, or Barrett’s esophagus. Demographics, endoscopy and pathology results were collected by chart review. Active EoE was histologically defined as ≥15 eosinophils per high-power field. Esophageal baseline MI was measured in the 30-second landmark period for the whole esophagus (from 2 cm above LES to 2 cm below UES), distal esophagus (from 2–7 cm above LES), and mid/proximal esophagus (from 10 cm above LES to 2 cm below UES). Mann–Whitney U or T tests were used for comparisons . Optimal MI thresholds were identified by Youden index with 10,000 bootstrap validations, and interrater reliability was assessed using two-way mixed effects intraclass correlation coefficients. Results Seventy-three patients were included: 37 (51%) female, median age 52 years, median BMI 27.2 kg/m2. Fifty-seven patients (78%) had atopic history, including seasonal allergies (38, 52%), asthma (31, 42%), eczema (21, 29%), and food allergies (19, 26%). Thirty-nine patients (53%) were receiving proton pump inhibitors, 25 (34%) were not on EoE therapy, 5 (6.8%) were on swallowed topical steroids, 3 (4.1%) were on dupilumab, and 1 (1.4%) was on an elimination diet. Esophageal strictures were present in 23 patients (32%), and 45 (62%) had active EoE. Baseline MI measurement showed high interrater reliability (n=50, 2 raters; intraclass correlation coefficient 0.937–0.963, p<0.001). Basal mean and minimal impedance were significantly lower in active EoE across all segments, greatest in the distal esophagus (all p<0.05; Figure 1). ROC analysis showed high discrimination of distal mean MI, with a cutoff ≤1.91 kΩ (AUC=0.837, sensitivity 67.9%, specificity 86.7%, Youden 0.545; Figure 2). Conclusion Baseline mucosal impedance during HRIM distinguishes active from inactive EoE, with strongest discrimination in the distal esophagus, supporting MI as a potential, minimally-invasive physiologic marker of mucosal inflammation and disease activity. Clinically, MI may serve as an adjunct tool in dysphagia evaluation, prompting EoE-directed biopsy when abnormal, aiding management in biopsy–symptom discordance, and potentially supporting disease monitoring in selected patients. Larger prospective studies are warranted.