Citations

Abstract Ferritin, consisting of ferritin heavy chain (FTH1) and light chain (FTL) subunits, is an essential intracellular iron storage protein fundamental for cellular function. However, the source and the biological role of extracellular ferritin (ex-ferritin) are less understood. Recent studies have linked elevated serum ex-ferritin with adverse outcomes in individuals with acute respiratory distress syndrome (ARDS). In this study, we demonstrate that both FTH1 and FTL are significantly enriched in the serum, blood monocytes, and alveolar macrophages (AMs) of individuals with ARDS, a phenomenon we successfully replicate in a murine hyperoxia-induced acute lung injury (HALI) model. We show that FTH1 is consistently upregulated in macrophages during lung injury development, and mice with a targeted deletion of FTH1 in myeloid (LysMcre) or resident lung macrophage (Cd11ccre) populations exhibit attenuated HALI. This reduced injury is linked to macrophage resistance to ferroptotic cell death, ferritinophagy, altered airway inflammatory responses, and lower lung extracellular iron and higher levels of FTL-ex-ferritin. Transplantation of FTL-ex-ferritin-enriched bronchoalveolar lavage fluid to wild-type mice protected against HALI. The ratio of FTL-ex-ferritin to FTH1 in the serum of individuals with ARDS who died was higher than that of those that survived, suggesting that the balance between FTH1 and FTL may play a role in injury modulation. Our findings highlight macrophage ferritin as a key regulator of macrophage survival and the response of the lung to injury, presenting a potentially targetable pathway for ARDS treatment.

Abstract Background Neuropathologic evaluation is essential for diagnosing and treating dementia, but definitive diagnoses is only available after post‐mortem brain autopsy. Positron emission tomography (PET) offers a potential in vivo proxy for predicting neuropathology. This study proposes a semi‐supervised learning (SSL) model using a single FDG‐PET image to predict underlying neuropathology. Method The SSL model leverages a self‐organized graph structure based on a patient similarity network (PSN) created from 1,495 FDG‐PET images across the aging and neurodegenerative spectrum. Each patient is represented by a node, with edges indicating image similarity derived from principal component analysis features and cosine similarity weights. The PSN structure connects 20 nearest neighbors. Neuropathologic labels were available for 204 autopsied patients. The Poisson Learning Method was employed to propagate labels from these annotated nodes to unlabeled nodes, guided by the PSN structure. FDG‐PET images were collected from clinical and research participants at the Mayo Clinic and processed using an MRI‐free pipeline. Neuropathologic labels were assigned based on widely accepted diagnostic criteria. Leave‐one‐out cross‐validation (LOOCV) was used to assess model performance. Results The confusion matrix demonstrated high accuracy in predicting Alzheimer's disease, frontotemporal lobar degeneration with tau inclusions, and Lewy body disease pathology. A Sankey diagram and label distribution analysis revealed strong correlations between clinical and predicted neuropathologic labels. Conclusion This study highlights the potential of a graph‐based SSL pipeline to predict neuropathological changes using FDG‐PET imaging data, despite limited pathology labels. The findings underscore the value of SSL in bridging the gap between abundant neuroimaging data and scarce neuropathologic labels, contributing to improved dementia diagnosis and understanding.

Background/Objectives: Surveillance for anal squamous cell carcinoma (ASCC) recurrence relies on clinical examination and imaging. Post-treatment edema, fibrosis, and inflammation can result in clinically indeterminate findings (CIFs) that delay diagnosis and increase patient and system burden. Circulating tumor tissue-modified viral (TTMV)-HPV DNA offers a biologically specific, noninvasive biomarker that may clarify equivocal assessments. Methods: In this multi-center retrospective study, 233 patients with HPV-associated ASCC were evaluated, including 185 with ≥1 post-treatment TTMV-HPV DNA test. CIFs were defined as exams or imaging results not definitively positive or negative for disease, and were paired with subsequent TTMV-HPV DNA tests. Concordance was defined by prespecified follow-up windows comparing TTMV-HPV DNA results with subsequent clinical outcomes. Results: Ninety patients (39%) experienced 214 CIFs, arising from exams (46%, 98) or imaging (54%, 116). Indeterminate rates by assessment were 7% for exams, 17% for imaging, and 1.3% for TTMV-HPV DNA testing. Overall, 52 CIF/TTMV-HPV DNA pairs were eligible for analysis, and TTMV-HPV DNA resolved disease status accurately for 48/52 (92%, 95% CI: 81.5–97.9). Negative tests predicted cancer-free status for 37/41 CIFs (90%), while 100% of positive tests (11/11) were concordant with clinically confirmed recurrence. In 73% of positive cases (8/11), TTMV-HPV DNA was the first indication of recurrence (median lead-time 29 days; IQR 25–147). Conclusions: TTMV-HPV DNA testing reliably clarifies clinically indeterminate findings during ASCC surveillance, demonstrating high accuracy (92%) and earlier detection of recurrence. These data support integration into post-treatment management to reduce diagnostic uncertainty and guide timely care.

Abstract Women remain underrepresented in physical medicine and rehabilitation, comprising only 36%–39% of residents despite evidence that diverse teams improve patient outcomes. Limited early exposure and systemic barriers may contribute to this disparity. In this cross-sectional study, we surveyed 1101 US premedical students from 198 colleges across 40 states and territories to assess perceptions of physical medicine and rehabilitation and identify effective early intervention strategies. While respondents included all gender identities, the analysis focused on the 870 female-identifying students (78.8%) due to the study’s primary aim of addressing gender equity in physical medicine and rehabilitation. Only 30.6% were familiar with physical medicine and rehabilitation, with exposure primarily through social media (42.6%) and personal connections (31.1%); just 9.0% had shadowed a physical medicine and rehabilitation physician. Financial concerns were prevalent, with 68.6% citing medical education costs and 66.4% citing application fees as deterrents. Despite these barriers, 60.6% expressed interest in learning more about physical medicine and rehabilitation. Preferred engagement strategies included shadowing (81.8%), interactive workshops (76.6%), mentorship programs (60.1%), and gender-specific events such as “Women in PM&R” (62.8%). These findings underscore the need for targeted, early outreach initiatives that address both informational and financial barriers, aiming to foster greater awareness and representation of women in physical medicine and rehabilitation and ultimately support a more inclusive physician workforce.

The treatment landscape for soft tissue sarcomas (STS) is evolving constantly. These NCCN Guidelines Insights focus on recent updates to the NCCN Guidelines for STS specific to surgical management and systemic therapy recommendations for various subtypes.

Importance The choice of induction agent during rapid sequence intubation (RSI) of critically ill adults may affect clinical outcomes. Although ketamine and etomidate are frequently used for RSI, their comparative effectiveness remains controversial. Objective To compare the safety of etomidate vs ketamine for emergency RSI in critically ill adults. Design, Setting, and Participants This cohort study used a target trial emulation with observational data collected between March 1, 2022, and April 30, 2024, from 18 emergency departments across Brazil, with data from the Brazilian Airway Registry Cooperation. Adults who underwent RSI and received either etomidate or ketamine as a sole hypnotic agent were included; those with preintubation cardiac arrest or immediate postintubation transfer were excluded. Exposure Administration of etomidate or ketamine as the induction agent for RSI. Main Outcomes and Measures The primary outcome was 28-day in-hospital mortality. Secondary outcomes included 7-day in-hospital mortality, first-attempt intubation success, and major adverse events (new hemodynamic instability, severe hypoxemia, and cardiac arrest) within 30 minutes after intubation. Inverse probability of treatment weighting was used to adjust for confounding. Risk ratios (RRs) and risk differences (RDs) with 95% CIs were used to compare outcomes between groups. Results Among 1810 patients (median age, 64 years [IQR, 50-74 years]; 1048 men [57.9%]), 514 received ketamine and 1296 received etomidate. The median shock index was higher in the ketamine group than the etomidate group (0.81 [IQR, 0.65-1.01] vs 0.76 [IQR, 0.59-0.99]), and preintubation vasopressor use was more common in the ketamine group than the etomidate group (191 of 514 [37.2%] vs 391 of 1296 [30.2%]). Weighted 28-day mortality was higher with etomidate than ketamine (60.5% [95% CI, 57.2%-63.8%] vs 54.4% [95% CI, 45.0%-63.9%]; RR, 1.14 [95% CI, 1.03-1.27]; RD, 7.6% [95% CI, 2.0%-13.3%]). Seven-day mortality was also higher with etomidate than ketamine (35.2% [95% CI, 32.0%-38.3%] vs 30.1% [95% CI, 23.5%-36.7%]; RR, 1.19 [95% CI, 1.04-1.35]). New hemodynamic instability within 30 minutes after intubation was more frequent with ketamine (24.2% [95% CI, 20.4%-28.0%] vs 18.9% [95% CI, 16.7%-21.0%]; RR, 0.78 [0.64-0.95]). There were no statistically significant differences in the other secondary outcomes. Conclusions and Relevance In this cohort study of critically ill adults undergoing RSI, etomidate use was associated with higher in-hospital mortality at 7 and 28 days compared with ketamine. These findings highlight the need for definitive randomized clinical trials to compare both agents.

ABSTRACT The concentration of cells is a key component of modern blood tests. Given the biomarker potential of extracellular vesicles (EVs) in blood, we aimed to establish reference ranges for blood cell‐derived EVs using flow cytometry. To address the orders‐of‐magnitude variability in reported EV concentrations between different flow cytometers (FCMs), we first validated a calibration methodology to enable reproducible EV concentration measurements. The methodology was evaluated in an interlaboratory comparison study and shows that calibration reduces the median absolute deviation of EV concentrations measured on 25 different FCMs from 67 % to 25 %–31 %. The calibration methodology was then used to determine reference ranges of erythrocyte‐, leukocyte‐, and platelet‐derived EVs in human blood plasma in a cohort of healthy individuals ( n = 224). This study demonstrates that calibration enables comparable concentration measurements of blood cell‐derived EVs, thereby bringing EVs one step closer to clinical applications.