Citations

Importance Tofersen is a disease-modifying antisense oligonucleotide therapeutic for people living with SOD1 –amyotrophic lateral sclerosis ( SOD1 -ALS). Autopsy tissue donors have provided the first opportunity to study the distribution of intrathecally administered tofersen in human central nervous system tissues. Objectives To determine the tissue distribution of tofersen and to provide the first estimates of SOD1 reduction in human somatic motor systems tissues. Design, Setting, and Participants This was a cross-sectional autopsy tissue case series conducted between 2018 and 2026. Autopsies were performed at 3 US academic medical institutions. Tissue samples from 8 deceased patients who lived with SOD1 -ALS, participated in tofersen clinical trials (ClinicalTrials.gov Identifiers NCT02623699 [An Efficacy, Safety, Tolerability, Pharmacokinetics and Pharmacodynamics Study of BIIB067 (Tofersen) in Adults With Inherited Amyotrophic Lateral Sclerosis (ALS)] and NCT03070119 [Long-Term Evaluation of BIIB067 (Tofersen)]) or the Expanded Access Program, and whose families authorized autopsies were eligible for this study. All autopsy tissue donors known at the time of this study were included (none were excluded). Analyses were conducted between August 2020 and January 2026. Exposures Participants received multiple intrathecal 20- to 100-mg tofersen doses. Main Outcomes and Measures Tofersen tissue concentrations were measured using hybridization enzyme-linked immunosorbent assay (ELISA). SOD1 messenger RNA (mRNA) and protein reduction estimates, defined as percentage SOD1 levels in this study’s recently treated autopsy tissue donors compared to a cohort of samples from tofersen-naive SOD1 -ALS autopsy tissue donors, were measured using quantitative reverse transcription polymerase chain reaction (PCR) and ELISA. Histological localization of tofersen and SOD1 transcripts were studied using immunohistochemistry and in situ hybridization assays. Results In 8 tofersen-treated autopsy tissue donors (5 male and 3 female donors; age range, 42-66 years), spinal cord and motor cortical tissue tofersen concentrations strongly correlated with predictions based on individual dosing histories and a preclinical pharmacokinetic model. For 3 recently treated autopsy tissue donors, reductions in lumbar spinal cord tissue SOD1 mRNA and protein levels ranged from 45% to 84% despite not having been administered 1 to 2 scheduled doses before autopsy. Residual somatic motor neurons demonstrated tofersen transduction and low SOD1 mRNA probe hybridization. Misfolded SOD1 protein inclusions were detected in residual motor neurons of tofersen-naive SOD1- ALS tissue donor controls and tofersen-treated tissue donors. Meningeal and perivascular lymphocytic immune responses were observed in 5 recently treated tissue donors but were not apparent in tissue donors with remote final tofersen doses. Conclusions and Relevance This case series presents the first emerging autopsy tissue data confirming the predicted distribution of tofersen and robust SOD1 protein reduction in human somatic motor systems tissues.

ABSTRACT Background Eosinophilic esophagitis is associated with epithelial barrier dysfunction. Epidemiologic studies suggest environmental factors promote disease pathogenesis. The common household detergent sodium dodecyl sulfate (SDS) induces epithelial barrier dysfunction and eosinophilic inflammation in mice. We hypothesized that acute SDS exposure would compromise the esophageal mucosal barrier in humans. Methods Healthy adults brushed with 2 g of an SDS‐containing toothpaste. Esophageal impedance was measured continuously pre‐/post‐toothbrushing to assess the effect of toothpaste on epithelial barrier function. SDS was measured in saliva using a methylene blue anionic substances assay. Participants completed 1‐h esophageal string tests (ESTs) pre‐/post‐toothbrushing and protein isolates from EST eluates from the proximal and distal esophagus were analyzed by tandem mass tag mass spectrometry. Results Ten of twelve subjects completed the clinical study. SDS in the initial expectorate measured immediately after toothbrushing varied markedly (median: 321.40 μg/mL; range: 169.90–1243.00 μg/mL) and was detectable in saliva in 80% of subjects (median: 9.55 μg/mL; range: 0–123.40 μg/mL) at 60 min post toothbrushing. Esophageal mucosal impedance decreased within 30 min of toothbrushing ( p < 0.01). Toothbrushing increased salivary viscosity and proteins associated with mucosal defense in EST eluates. The tight junction pathway was downregulated while the salivary secretion and complement and coagulation cascades pathways were upregulated in the proximal esophagus. Conclusion In healthy individuals, SDS remained detectable in saliva for a prolonged period after toothbrushing at concentrations previously shown to disrupt esophageal epithelial barrier function in vitro. Toothbrushing with an SDS‐containing toothpaste was associated with reduced esophageal mucosal impedance, altered salivary properties, and activated mucosal immune responses.

Abstract Unvetted scientific claims about vaccines can spread rapidly and undermine decades of progress in immunization and public trust. A recent non-peer-reviewed analysis, promoted at political hearings, in the documentary “An Inconvenient Study,” and on social media, has been used to suggest that vaccinated children experience higher rates of chronic illness than unvaccinated peers. Despite standard regression models, critical flaws - uncontrolled confounding, exposure misclassification, unequal follow-up, and outcome multiplicity, invalidate causal inference. An independent group of international experts critically appraises this analysis and contrast its claims with the consistent evidence confirming vaccine safety and effectiveness. We also show how poorly designed studies can distort public discourse, amplify misinformation, and fuel vaccine hesitancy. We outline actions to strengthen research integrity, such as transparent data sharing, labeling of non-peer-reviewed content, and evidence-based communication. Safeguarding public health demands that vaccine evidence be methodologically sound, reviewed, and interpreted by qualified experts.

Peritoneal coccidioidomycosis is a rare, disseminated manifestation of Coccidioides infection with limited representation in the literature. We report 37 proven or probable cases from a single institution, including 12 patients (32%) with immunosuppression. Thirty-six patients received antifungal therapy, all of whom demonstrated clinical response. Among 11 (29.7%) patients who completed and stopped therapy after a median duration of 26 months, 2 (5%) experienced a relapse and were successfully retreated. Nine patients (24%) had no known relapse. Thirteen patients (35%) required modification of antifungal regimens, primarily due to azole adverse effects. Treatment approaches and median duration of therapy (57 months) were similar between immunosuppressed and non-immunosuppressed groups. No deaths were attributable to infection. Overall, outcomes were favorable, with strong clinical responses to azole therapy. Patients without identifiable immunologic deficits or additional sites of dissemination, when managed with antifungal therapy and close clinical, radiologic, and serologic monitoring, may achieve good prognosis, particularly when indefinite azole therapy is not feasible.

Abstract Rationale Idiopathic Pulmonary Fibrosis (IPF) is characterized by chronic progressive pulmonary fibrosis and high mortality. Genetic markers, summarized into a polygenic risk score (PRS), associate with IPF in well-phenotyped research cohorts. Objectives To evaluate the performance of the PRS using real-world data from routinely captured electronic healthcare records. Methods We conducted an observational study evaluating the association of a PRS for IPF with electronic healthcare record diagnosis of IPF as well as lung transplant-free survival in four independent cohorts; the Mass General Brigham Biobank (MGBB), Mayo Clinic Biobank (MCBB), Mayo Clinic Tapestry Cohort (Tapestry), and U.K. Biobank (UKBB). We used multivariable logistic regression and multivariable Cox proportional hazards models adjusting for age, gender, and principal components of ancestry. The cohorts then underwent fixed and random effects meta-analysis. Measurements and Main Results Of 37,709; 44,195; 43,202; and 447,422 participants from MGBB, MCBB, Tapestry and UKBB respectively, 1,015 (2.7%) 2,879 (6.5%), 1,310 (3.0%), and 2,742 (0.6%) participants had an IPF diagnosis. Meta-analysis demonstrated a high-risk PRS associated with IPF diagnosis, OR 2.88 (95%CI 2.41-3.44) compared to all other individuals. A high-risk PRS also associated with the composite endpoint of mortality or lung transplant among those with an IPF diagnosis, HR 1.23(95%CI 1.11-1.35) compared to all other individuals. Conclusions A PRS can identify those at risk for an IPF diagnosis and mortality in biobank-scale data, which may have implications for clinical decisions. Further work is necessary to evaluate the utility of adding genetics in clinical settings.

Abstract Background: The dynamic nature of surgical demand poses significant challenges in planning and scheduling resources to staff the surgical suite. Uncertainty in workload often leads to conservative upstream resource allocation, resulting in staffing misallocation. We propose a novel metric, the daily maximum number of open operating rooms (ORs), as an interpretable resource demand proxy to support staff planning. Methods: Using historical surgical data from Mayo Clinic in Rochester, Minnesota, from May 5, 2018 through October 8, 2023 (332,904 surgical cases), we developed a deep learning framework based on a wide-and-deep architecture to predict the daily maximum number of open ORs. The model incorporates features capturing historic OR use trends, seasonality effects, and anesthesia division–specific characteristics. Predictions are generated for forecast horizons of up to 90 business days. Results: Our results demonstrate strong predictive performance, with campus-level root mean square error values ranging from 5 to 7 available ORs across all forecast horizons. Validation across 9 anesthesia divisions confirms the frame- work’s capability to capture complex, nonlinear dependencies within longitudinal surgical datasets. Conclusions: This study introduces a novel operational metric and a robust predictive framework for perioperative resource management. By accurately fore- casting daily maximum open ORs, health care managers can better align staff capacity with anticipated demand, potentially enhancing staff use and improving the patient care experience by minimizing delays.

Abstract Background Acute hypoxemic and hypercapnic respiratory failure are among the most common reasons for ICU admission and need for invasive mechanical ventilation. Noninvasive respiratory support (NIRS) strategies—including high-flow nasal cannula (HFNC), noninvasive ventilation (NIV), and continuous positive airway pressure (CPAP)—may prevent intubation, improve outcomes, and reduce ICU utilization. However, there is uncertainty regarding optimal patient and modality selection, resulting in variable implementation. There are no clinical practice guidelines comprehensively addressing the use of the different noninvasive respiratory support strategies across the spectrum of acute respiratory failure. Objective To update and develop new evidence-based clinical practice recommendations informing noninvasive respiratory support use, including HFNC, NIV and CPAP, in adults with acute respiratory failure. Methods A multidisciplinary panel used the GRADE approach to address four PICO questions related to the use of NIRS for hypoxemic and hypercapnic respiratory failure, preoxygenation for intubation, and post-extubation respiratory support. Recommendations were informed by several systematic reviews and network meta-analyses. Results The panel made a strong recommendation for HFNC and a conditional recommendation for NIV or CPAP for adults with acute hypoxemic respiratory failure with close monitoring for the need for escalation of respiratory support, based primarily on effects on need for intubation. For acute hypercapnic respiratory failure, the panel made a strong recommendation for NIV to reduce mortality and need for invasive mechanical ventilation, and a conditional recommendation for HFNC only in patients with less severe hypercapnia and with mild acidemia (eg, pH &gt; 7.25), provided that close monitoring and prompt escalation to NIV are available. The panel made a strong recommendation for HFNC or NIV for preoxygenation prior to endotracheal intubation to prevent peri-intubation hypoxemia. The panel also issued a risk-based recommendation, suggesting HFNC for low-risk patients and NIV for high-risk patients to reduce the need for re-intubation following extubation after critical illness. Conclusions Noninvasive respiratory support strategies are effective in improving outcomes in a range of clinical scenarios. We provide evidence-based recommendations, which can be further informed by patient risk, institutional capacity, and interface tolerance.

Abstract Background Immunosuppression (IS) is required in AAV-mediated gene therapy to maximize safety and efficacy, in part to mitigate potential hepatotoxicity and prevent immune-mediated loss of transgene expression. However, prolonged IS increases the risk of complications, including infections. MYBPC3-associated HCM patients have limited treatment options. MyPEAK-1 is a first-in-human trial to assess the safety and efficacy of TN-201, a gene replacement therapy, which was designed to address the underlying genetic cause of MYBPC3-associated HCM in symptomatic adults. Objective To describe the safety and refinement of the IS regimen and monitoring used during the dosing of Cohorts 1 and 2 in the MyPEAK-1 trial. Methods The dose-escalation study utilized two cohorts (n=3 each) receiving 3E13 vg/kg (Cohort 1) or 6E13 vg/kg (Cohort 2) of TN-201 as a single IV infusion. All patients received prophylactic prednisone (starting at 1 mg/kg, maximum 80 or 60 mg/day) and sirolimus (target trough level of 4–8 ng/mL). Prednisone was tapered over several weeks, with variable timing depending on safety laboratory results. The dose of prednisone and timing of sirolimus were adjusted to reduce IS burden in Cohort 2. Specifically, sirolimus was initiated earlier (Day -7 vs Day -3) and the maximum starting dose of prednisone was reduced (from 80 to 60 mg/day). Monitoring frequency was increased to weekly throughout the course of IS. An independent data safety monitoring board provided safety oversight. Results All six patients successfully completed the IS regimen. TN-201 was generally well-tolerated at both dose levels (follow-up &gt;52 weeks and &gt;12 weeks in Cohort 1 and 2, respectively). Adjustments to the IS regimen and monitoring during Cohort 1 facilitated a significantly shorter course of IS in Cohort 2, with a mean duration of prednisone use of 256 vs 81 days. Despite receiving a higher dose of TN-201, peak transaminase levels, reflecting liver inflammation, were lower in Cohort 2 than Cohort 1. There was no clinical TMA in either cohort. Mean sirolimus trough levels remained consistent between groups (7.2 vs 7.4 ng/mL). Increases in MyBP-C protein, decreases in circulating cardiac biomarkers, and a reduction in LV hypertrophy were observed during follow up. Conclusion Standardized adjustments to the prophylactic immunosuppressive regimen in the MyPEAK-1 trial successfully managed the immunogenicity of AAV9-based gene therapy. Cohort 2 patients required lower cumulative corticosteroid doses without compromising safety or cardiac transduction. These refinements enabled lower cumulative steroid exposure and shorter IS durations in the higher-dose cohort. These results suggest that individualized, protocol-driven IS is effective in controlling the immune response to TN-201 while supporting transgene expression, paving the way for continued investigation of this gene therapy clinical investigation in MYBPC3-associated HCM population.Corticosteroid duration and daily doseFor image description, please refer to the figure legend and surrounding text.

Abstract Current genomic assays provide prognostic information and guide chemotherapy decisions in early-stage hormone receptor–positive/human epidermal growth factor receptor 2–negative (HR+/HER2−) breast cancer, but limited tissue sampling may incompletely capture tumor heterogeneity. We developed and validated an image-based artificial intelligence (AI) model integrating dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and clinicopathologic features to predict recurrence risk in early-stage HR+/HER2 − breast cancer. In this retrospective multi-institutional study, the model was trained using pre-treatment imaging and clinicopathologic data from 522 patients and independently validated in 550 additional patients treated between 2010 and 2023. By analyzing spatial tumor characteristics, the model generated individualized recurrence risk scores that outperformed clinicopathologic features alone. In the validation cohort, median age was 53 years (range, 24–90), 15.6% of patients self-identified as African American, 89.7% had clinical T1–T2 disease, and 34.4% had 1–3 positive lymph nodes. Five-year recurrence-free survival was 93.8% (95% CI, 90.0–96.2%) among patients classified as low risk compared with 82.6% (95% CI, 74.8–88.1%) among those classified as high risk, corresponding to an adjusted hazard ratio of 2.28. Prognostic performance was maintained across clinically relevant subgroups, including age and nodal status. These findings support the potential of a noninvasive image-based AI approach for real-time prognostication and treatment personalization in early-stage HR+/HER2 − breast cancer.