Citations

Abstract Technological advancements have increased the number of human spaceflights, including the advent of space tourism and deep space travel. The structure and function of the pulmonary system are gravitationally dependent, highlighting the importance of understanding functional changes within the pulmonary system during transient and sustained microgravity exposure. This systematic review and meta-analysis provide an overview of effects of microgravity (0G) on various functional outcome measures of the human lungs relative to Earth gravity (1G). Twenty-eight studies comprising parabolic flights (~20 seconds), short- (≤30 days) and long-duration spaceflight (>30 days) were assessed. Outcome measures reported in 1G (before flight) and 0G (in-flight) were extracted. Fixed effects models showed microgravity caused a reduction in elastic work and carbon dioxide production, and increases in pulmonary diffusion capacity, compliance, and pulmonary capillary blood volume. Despite this, the effect sizes were small and likely have little clinical significance in healthy individuals. However, they could impact space tourists who have lower health requirements for space travel, and those with underlying obstructive respiratory disorders. The results demonstrate how traditional functional pulmonary testing provides essential physiological benchmarks that complement high-throughput data collection methods, enabling an integrated understanding of how molecular changes translate into functional respiratory outcomes in microgravity.

Cercospora leaf spot (CLS) is a destructive disease of sugar beet (Beta vulgaris ssp. vulgaris L.) for which resistance conferred by the gene BvCR4 has been introgressed from sea beet (B. vulgaris ssp. maritima). BvCR4-mediated resistance has been broadly deployed to manage CLS globally in sugar beet; however, continuous implementation exerts strong selection pressure, increasing the risk of disease outbreaks due to resistance-breaking C. beticola populations. This study aimed to identify BvCR4 variants in public B. vulgaris spp. germplasm to assess their genetic and structural diversity. Polymerase chain reaction screening of 589 public B. vulgaris spp. germplasm detected BvCR4 homologs in 32 accessions with diverse responses to CLS including historically relevant sugar beet lines represented in breeding programs and Mediterranean sea beet populations of diverse genetic backgrounds. Analysis of the genomic sequences revealed higher diversity in sea beet compared to sugar beet. Additionally, population genetic analysis indicated that BvCR4 homologs in sugar beet likely originated from sea beet populations in Italy and Greece. We identified historical cultivated materials carrying full proteins encoded by BvCR4 alleles and delineated geographic regions where sea beet populations harbor BvCR4 homologs that may be useful in breeding programs. Structural variation was largely circumscribed within leucine-rich repeat domains, although CLS resistance phenotyping was not associated with specific polymorphisms, suggesting BvCR4-mediated resistance may rely on interactions with other co-receptors. This study provides resources for sugar beet improvement by enabling the identification of BvCR4 homologs in diverse germplasm and disclosing materials with potentially novel resistance.

ABSTRACT Clinical pharmacists are increasingly recognized as vital contributors to acute stroke care, yet their role remains inconsistently defined and underutilized across health care systems. This consensus statement explores the expanding presence of clinical pharmacists within interdisciplinary stroke teams, particularly in the management of both acute ischemic stroke ( AIS ) and hemorrhagic stroke. This consensus statement panel was composed of clinical pharmacists, emergency medicine physicians, and a vascular neurologist. The Grading of Recommendations, Assessment, Development, and Evaluation ( GRADE ) approach was used to assess the level of certainty and strength of recommendations. We focused on two questions regarding the clinical pharmacist's role in caring for adult patients presenting to the emergency department ( ED ) with AIS or hemorrhagic stroke. Despite the very low level of evidence, a consensus was reached for the following recommendations: (1) clinical pharmacist involvement in AIS care for adult patients presenting to the ED and (2) clinical pharmacist involvement in hemorrhagic stroke care for adult patients presenting to the ED . Based on the available literature, we believe optimizing the clinical pharmacist role is a critical factor in improving time‐sensitive treatment and equity in care delivery.

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.

BACKGROUND: Aortic enlargement is a powerful predictor of dissection and rupture, yet it is rarely evaluated during routine myocardial perfusion imaging, despite the widespread availability of computed tomography (CT) attenuation correction scans. The aim of this study was to determine whether fully automated, opportunistically derived, artificial intelligence-based aortic measurements from myocardial perfusion imaging CT attenuation correction scans are associated with adverse outcomes in a large multicenter cohort. METHODS: CT attenuation correction scans from patients undergoing positron emission tomography/CT and single-photon emission CT/CT myocardial perfusion imaging across 10 centers were included. A deep learning model automatically segmented the thoracic aorta, and a postprocessing algorithm extracted maximum ascending and descending diameters. The aortic size index was calculated by indexing the diameter to body surface area. RESULTS: A total of 29 339 patients (56% men; median age, 66 years [interquartile range, 58–75 years]) were included. Over a median follow-up of 3.5 years (interquartile range, 1.9–5.0 years), 5083 (17.3%) patients died. Median ascending and descending aortic size index values were 1.8 cm/m 2 (interquartile range, 1.6–2.0) and 1.5 cm/m 2 (interquartile range, 1.4–1.6), respectively, with an increase with age and higher values in females. Elevated aortic size index thresholds (ascending >2.2 cm/m 2 ; descending >1.6 cm/m 2 ) were significantly associated with increased all-cause mortality (ascending: adjusted hazard ratio, 1.16 [95% CI, 1.07–1.26], P <0.001; descending: adjusted hazard ratio, 1.23 [95% CI, 1.14–1.31]; P <0.001). Notably, the prognostic value of an abnormal aortic size index persisted independent of age, sex, and perfusion abnormalities. CONCLUSIONS: Artificial intelligence can unlock previously unused information within routine myocardial perfusion imaging CT attenuation correction scans by rapidly and automatically quantifying aortic size at scale. Opportunistic aortic measurements derived from CT attenuation correction may serve as an adjunctive risk biomarker and could add prognostic value to standard myocardial perfusion imaging without additional imaging or radiation.

Abstract Background Large language models (LLMs) offer promise for systematic review data extraction, but performance in complex multidisciplinary domains and utility for clinical statement generation remain insufficiently described. Objectives To evaluate Google NotebookLM for AI-assisted data extraction and RAND/UCLA consensus statement generation in a systematic review of IBD, obesity, and cardiometabolic comorbidities. Methods Studies were organized into domain-specific notebooks; structured prompts generated standardized evidence tables. Two independent reviewers validated outputs against full-text articles using a four-category error classification. Cell-level accuracy and critical accuracy (cells free of major factual errors) were the primary metrics; workflow time was compared against a published conventional extraction benchmark. Concordance between AI-generated and expert-finalized statements was assessed. Results Across 57 articles, 1,710 data cells were extracted; 151 (8.83%) were flagged, yielding 91.17% cell-level accuracy. Major factual errors occurred in only 4 cells (0.23%), for a critical accuracy of 99.77%. Most errors were minor omissions (59.6%) or incomplete extractions (30.5%); domain error rates ranged from 7.08% to 11.33%. The pipeline required 17.7 versus a projected 165.1 person-hours (89.3% reduction). PICO-structured prompting generated 70 candidate statements; 58 of 112 finalized panel statements (51.8%) were AI-derived, and 85.7% were retained in the finalized set. Conclusion Google NotebookLM demonstrates feasibility as a primary extraction and synthesis tool in a multidisciplinary systematic review, with extractive incompleteness as the principal limitation and substantial time savings over conventional approaches. Its novel application to RAND/UCLA consensus statement generation extends AI-assisted evidence synthesis to clinical consensus generation workflow.

Although Rosai-Dorfman disease has nonspecific imaging features, imaging remains essential for delineating disease extent, predicting prognosis, and assessing treatment response once the diagnosis is established through integrated clinical, imaging, and histopathologic evaluation.

Background: There is growing evidence that social determinants of health (SDOH) are associated with disparities in access to care and hand and upper extremity health. Quality measures represent an opportunity to evaluate disparities in access and outcomes that can inform improvement interventions. We performed a systematic review of evidence regarding health disparities within hand surgery and aimed to develop suitable quality measures that are clinically important, feasible, usable, and scientifically acceptable. Methods: We performed a systematic review including common hand surgery terms to identify health disparities in hand surgery related to SDOH. Candidate quality measures were constructed based upon evidence from the systematic review. A consortium of 11 US-based hand and upper extremity surgeons completed a modified RAND/UCLA Delphi Appropriateness process to evaluate the importance, feasibility, usability, and scientific acceptability of the candidate quality measures. Panelists rated each measure on a scale of 1 ( definitely not important/feasible/usable/scientifically acceptable ) to 9 ( definitely important/feasible/usable/scientifically acceptable ) in 2 voting rounds separated by a face-to-face discussion. Agreement among panelists and validity were assessed using predetermined criteria. Results: Fourteen candidate quality measures addressing health disparities were identified based on evidence from the systematic review, including time to surgery and emergency department use after hand surgery based on insurance type, clinical outcomes based on social deprivation, among others. All 14 measures were accepted. Conclusions: Fourteen candidate quality measures were identified and accepted based upon consensus to address health disparities in hand surgery, although future investigation will be needed to evaluate their effectiveness.