Citations

Abstract Migraine attacks can be provoked in people with underlying primary headache disorders by multiple peripheral mechanisms suggesting the possible convergence of trigeminal nociceptive inputs onto a common, unknown central circuit. As calcitonin gene-related peptide (CGRP) expressing cells in the parabrachial nucleus (PBN) have been implicated in nociplastic pains, we hypothesized that (a) PBN CGRP-expressing neurons and their projections to the central amygdala (CeA) may be an essential central relay of multiple peripheral inputs promoting injury-free migraine headache and (b) this pathway may prioritize threat from activation of cranial afferents over other nociceptive inputs. Periorbital cutaneous allodynia (CA) was determined following supradural application of a cocktail of inflammatory mediators (IM), CGRP or pituitary adenylate cyclase-activating polypeptide (PACAP), or systemic administration of nitroglycerin (NTG) in CalcaCre or wild-type mice. Decreased rearing and photophobia were respectively evaluated as measures of ongoing headache and light-evoked migraine-like pain. Phosphorylation of extracellular signal-regulated kinases (pERK) was evaluated to assess regional neuronal activation. Compared with vehicle, supradural IM increased pERK in the trigeminal nucleus caudalis and PBN, but not in the paraventricular thalamus. Chemogenetic activation (Gq-DREADD) of PBN CGRP neurons elicited CA and photophobia while decreasing rearing. Lesioning of PBN neurons with ibotenic acid suppressed CA produced by supradural IM. Chemogenetic silencing (Gi-DREADD) or expression of tetanus toxin (TeNT) in PBN Calca neurons to prevent neurotransmitter release also inhibited CA elicited by supradural IM, CGRP, PACAP or systemic NTG. CRISPR/Cas9 editing of CeA receptor-associated membrane protein-1 (Ramp1) prevented IM-induced migraine-like symptoms revealing CGRP/CGRP-receptor activation from PBN→CeA projections. In contrast, PBN lesions, chemogenetic manipulation, and TeNT expression in PBN Calca cells and CeA Ramp1 CRISPR/Cas9 editing did not affect acute pain responses induced by hind paw IM injection, intraperitoneal acetic acid, or acute nociceptive behaviors from IM stimulation of the maxillary (V2) and mandibular (V3) branches of the trigeminal nerve. These data reveal a central pathway composed of PBN Calca neurons and CeA CGRP receptor signaling that is both sufficient to elicit migraine-like pain in naive mice and necessary to promote migraine-like pain following activation of the ophthalmic (V1) branch of the trigeminal nerve. Importantly, this pathway is essential for acute pain arising from V1 trigeminal, but dispensable for acute stimuli from other nociceptive afferents. The prioritization of V1 acute nociception suggests evolutionary importance for detecting threats to the head to promote survival through advantageous behaviors such as defensive coping observed in migraine.

Abstract Rationale Seralutinib is an investigational, first-in-class tyrosine kinase inhibitor designed for inhalation and selective for PDGFRα, PDGFRβ, CSF1R, and cKIT, targeting proliferation, inflammation, and fibrosis ─ three core drivers of pulmonary vascular remodeling in PAH. The phase 2 TORREY trial of seralutinib added to standard-of-care treatment in adults with PAH WHO FC II or III met its primary endpoint of a statistically significant reduction in pulmonary vascular resistance (PVR) vs. placebo at 24 weeks. Methods PROSERA (NCT05934526), a phase 3, randomized, double-blind, placebo-controlled, multicenter trial, evaluated the efficacy and safety of inhaled seralutinib in PAH patients treated for up to 48 weeks. Eligible patients (WHO Group 1 PH, FC II or III; REVEAL Lite 2 Risk Score ≥5 or NT-proBNP ≥300 ng/L or PVR ≥800 dyne•s/cm5) on standard background therapy were randomized 1:1 to seralutinib 90 mg or placebo delivered by dry powder inhaler twice daily. The primary endpoint was change in six-minute walk distance (6MWD) from baseline to week 24 in the seralutinib treatment group vs. placebo. Key secondary endpoints included: time to clinical worsening (TTCW), proportion of patients with clinical improvement at week 24, change in NT-proBNP from baseline to week 24, and proportion of patients with ≥1-point decrease from baseline in REVEAL Lite 2 Risk Score at week 24. Safety endpoints included incidence of treatment-emergent adverse events (TEAEs) and serious TEAEs (SAEs). Patients who completed blinded treatment could be eligible to participate in an open-label extension study. Preliminary Blinded Results 390 patients were randomized at 132 sites worldwide. At baseline, mean age was 50.0 years. PAH etiologies included 61.0% idiopathic, 9.7% heritable, and 22.3% associated with connective tissue disease. 25.6% of patients were WHO FC II and 74.4% FC III. Mean time from diagnosis was TBD years. Most patients were receiving 2 (39.2%) or ≥ 3 (54.6%) PAH medications, 29.2% were receiving parenteral prostacyclin. Baseline PVR was 798.4 dyne•s/cm5, 6MWD was 373.7 m, and NT-proBNP was 986.8 ng/L. The difference in 6MWD from baseline to week 24 between seralutinib and placebo was TBD [SD] m (p=TBD). Secondary endpoints of TTCW, clinical improvement, NT-proBNP, and REVEAL Lite 2 Risk Score will be reported. The most common AEs were TBD (x%) and TBD (y%). SAEs and discontinuations related to AE will be reported. Conclusions The PROSERA study demonstrates⋯ [to be updated following unblinding of the data]. Funding Gossamer Bio, Inc. This abstract is funded by: Gossamer Bio, Inc.

Abstract Rationale Impaired lung health may serve as a risk factor for, and a post-acute sequela of, SARS-CoV-2 infection. Yet most prior studies of lung health sequelae of COVID-19 lacked information on pre-infection lung health, a major antecedent confounder. To identify associations of COVID-19 with changes in lung health, we leveraged paired pre- and post-pandemic data on respiratory symptoms, lung function, and lung structure in a general population-based cohort. Methods We studied participants in the Multi-Ethnic Study of Atherosclerosis Lung Study with paired pre-pandemic (2016-2018) and post-pandemic (2022-2024) assessments of respiratory symptoms, spirometry, and lung CT. SARS-CoV-2 infection (2020-2023) was ascertained using a composite of questionnaires, serology, and medical record adjudication, and classified as severe (requiring hospitalization) or non-severe (not requiring hospitalization). Lung health was assessed by questionnaire (mMRC grade ≥2 dyspnea, chronic cough, chronic phlegm, chronic bronchitis), pre-bronchodilator spirometry (FEV1, FVC, FEV1:FVC), and lung density on non-contrast lung CT (% low attenuation areas, % high attenuation areas). Each post-pandemic lung health measure was regressed on infection history and the corresponding pre-pandemic lung health measure, adjusting for age at post-pandemic exam, sex, race/ethnicity, smoking status, and vaccination status at infection. Sensitivity analyses were included- (a) restriction to participants without pre-pandemic respiratory symptoms and (b) with additional adjustment for time since infection and variant wave. Results Among 2,015 participants (mean age 77.2±7.5 years; 55% female; 40% non-Hispanic White; 25% Black; 11% Asian; 23% Hispanic/Latino), 59 (3%) experienced severe and 506 (25%) non-severe SARS-CoV-2 infection. The prevalence of respiratory symptoms was similar or slightly higher at the post- vs. pre-pandemic exam (grade ≥2 dyspnea: 14% vs. 10%; chronic cough: 10% vs. 8%; chronic phlegm: 9% vs. 8%; chronic bronchitis: 4% vs. 4%; p-values <0.0001). Compared with participants without infection, those with severe infection had higher odds of chronic cough (OR:2.9, 95%CI:1.3-6.3) and chronic bronchitis (OR:3.3, 95%CI:1.2-9.0) at the post-pandemic exam (Table). Associations were stronger among individuals infected >90 days prior to the post-pandemic assessment and during pre-Omicron waves. Results were similar when restricted to participants without pre-pandemic symptoms. No significant associations were observed for non-severe infection (vs. no infection) or for any other lung health outcomes. Conclusions Controlling for pre-pandemic lung health, severe COVID-19 was associated with increased odds of chronic cough and chronic bronchitis but not with changes in lung function or structure in a general population-based sample. Non-severe COVID-19 was not associated with lung health outcomes. This abstract is funded by: OT2HL156812, R21HL165405, R01HL077612, 75N92025D00022, 75N92025D00026, 75N92020D00002, 75N92025D00024, 75N92025D00027, 75N92025D00025, 75N92025D00028

Abstract Rationale Chronic bronchitis (CB), a common phenotype of chronic obstructive pulmonary disease (COPD), is characterized by pathologic mucus hypersecretion and is associated with substantial morbidity, impaired quality of life, and progressive functional decline, with prior studies demonstrating an average worsening of approximately one point/year on the COPD Assessment Test (CAT). Bronchial rheoplasty (BR) with RheOx® combines mechanical mucous plug disimpaction with pulsed electric field (PEF) energy to ablate and restore the airway mucosa. The RheSolve study was designed to provide evidence of safety and efficacy versus mechanical disimpaction alone. Primary endpoint results have been previously reported; final 2-year outcomes are reported here. Methods RheSolve was a prospective, randomized, double-blind study enrolling 273 patients with COPD and moderate-to-severe CB across 37 centers in the United States and Europe. Participants were randomized 2:1 to BR (n = 185) or a mechanical control procedure (n = 88). Following unblinding at 12 months, 75% of control patients crossed over to BR, precluding valid randomized comparisons beyond that time point; therefore, longer-term outcomes were evaluated using within-patient changes from baseline in the BR cohort. Outcomes included CAT, St George’s Respiratory Questionnaire (SGRQ), Cough and Sputum Assessment Questionnaire (CASA-Q), and pulmonary function tests (PFTs). Results Patients in the BR group represented a moderate to severe COPD CB phenotype at baseline (FEV1 60.9% predicted, emphysema (-950 HU) 11.0%, CAT 27.2 points, SGRQ 64.4) with most patients (93%) receiving a combination of ≥ 2 long-acting medications (LABA, LAMA, inhaled corticosteroids). The BR procedure was well-tolerated with no SAEs related to the device or procedure beyond 12 months. Both groups demonstrated clinically meaningful improvements in CAT, SGRQ, and CASA-Q at 12 months (P < 0.001), which were sustained in the BR group through 24 months. Follow-up was limited to 1 year in the mechanical control group, with outcomes demonstrating a modest regression towards baseline at 12 months (Figure). PFTs were also stable to improved in the BR group (changes from baseline to 24 months: FEV1 % Predicted 0.9 (±10.8) P = 0.319, FVC % Predicted 2.8% (±14.0) P = 0.02, FEV1/FVC -0.5% (±7.2) P = 0.449). Conclusions BR with RheOx® (e.g.,mechanical mucous plug disimpaction and PEF delivery) demonstrated clinically meaningful symptom improvement that was sustained through 24 months supporting BR as a therapeutic option for patients with persistent symptoms despite appropriate medical therapy. This abstract is funded by: Galvanize Therapeutics

Abstract Background/Purpose Diagnosing wrist ligament injuries is challenging; early detection and treatment are important to prevent osteoarthritis progression. Interosseous proximity maps, a proxy measure for joint space, can be generated from volumetric imaging data and may provide important information about wrist health. Artificial intelligence (AI) could enhance accuracy of noninvasive diagnosis based on imaging-derived metrics. This work demonstrates feasibility of AI training using synthetic proximity map data generated from finite element models (FEMs). Methods Personalized wrist FEMs for two asymptomatic participants were created from four-dimensional computed tomography-derived anatomic and kinematic data. Monte Carlo sampling varied 22 ligament material properties and simulated 7,500 unique injury scenarios generating 9,000,000 labeled red, green, and blue (RGB) images of interosseous proximity vector fields from FEM-derived motions. Images were associated with 17 descriptive metrics, including gross wrist angles and bone surface pairs, and used to develop mixed-input convolutional neural networks (CNNs). Model performance was evaluated for identifying specific ligament injuries. Results Average area under receiver operating characteristic curve (AUROC) for CNNs was 0.757 across all injury types and kinematics. In a subset with clinically-relevant functional angles, the average AUROC was 0.824. Best-performing individual ligament AUROCs ranged from 0.807 to 0.999. Sensitivities and specificities exceeded 0.99 for some ligament injury simulations under specific wrist angles and bone surface pairs. Conclusion This study demonstrates the feasibility of using synthetic data from FEMs to train AI models for classifying wrist ligament injuries. Proximity-based RGB images may be a relevant biomarker of ligamentous injury.

Abstract Senescent cells accumulate with age and contribute to tissue dysfunction, yet their identification in tissues is challenging due to low abundance, heterogeneous phenotypes, and the lack of specific markers. Senescence-associated features span multiple subcellular compartments, including nuclear DNA damage foci, cytosolic protein changes, and perinuclear alterations, each requiring tailored detection strategies. To overcome these challenges, we developed SenoQuant ( https://github.com/HaamsRee/senoquant ), a versatile software designed for comprehensive, accurate, and unbiased spatial quantification and prediction of senescence markers across diverse tissue contexts. Utilizing AI models, SenoQuant enables precise nuclear and cytoplasmic segmentation and detection of senescence markers across low- and high-plex imaging modalities, applicable to cultured cells and tissue sections from mice and humans. The platform also supports custom AI models; for example, we built SenCeption, a proof-of-concept predictor of single-cell p21 status from DAPI-stained nuclei in human skin. Available as a free napari plugin, SenoQuant is widely accessible to researchers. By providing a unified approach to senescence analysis and prediction, SenoQuant opens new opportunities for exploring the complex biology of senescence and its impacts on aging and disease.