This shows you the differences between two versions of the page.
| Both sides previous revisionPrevious revisionNext revision | Previous revision | ||
| acr2026 [2026/09/21 11:58] – admin | acr2026 [2026/09/30 19:52] (current) – admin | ||
|---|---|---|---|
| Line 1: | Line 1: | ||
| - | **Poster presenter (name, credentials, | + | ====== Admin Details ====== |
| - | [Presenter Name, MD/PhD, Title, Institution — Not specified in provided abstract; please insert details]\ | + | {{ : |
| - | **Poster title:** | + | ^ place ^ Map ^ Address ^ Phone^ |
| + | | Hotel | [[ https:// | ||
| + | | Conference Venue|[[https:// | ||
| - | Serial Quantitative Changes in Anti-Scl-70 Autoantibodies Are Associated with Lung Function Decline in Systemic Sclerosis | + | ^Origin ^ Destination ^ Flight ID^ |
| + | | DCA |ORD |AA 1165| | ||
| + | | ORD | DCA| AA 2249| | ||
| - | **What is your poster about?** | + | ====== Transit ====== |
| - | Our study investigates whether dynamic, quantitative monitoring of anti-Scl-70 autoantibody titers can predict lung function decline and disease progression in patients with systemic sclerosis (SSc). Using a sensitive luciferase immunoprecipitation systems (LIPS) assay, we evaluated 86 patients from the multicenter CONQUER registry. We found that baseline antibody levels alone did not correlate with clinical measures among antibody-positive patients. However, early increases in quantitative anti-Scl-70 levels over 6 months were significantly associated with subsequent forced vital capacity (FVC) decline. Specifically, | + | App: [[https:// |
| - | **Why did you decide to investigate this topic?** | + | < |
| - | While anti-Scl-70 autoantibodies are a well-established cross-sectional risk factor for systemic sclerosis–associated interstitial lung disease (SSc-ILD), traditional testing merely provides a binary (positive/negative) result. Clinicians routinely observe variable disease trajectories among antibody-positive patients, but standard baseline antibody status offers limited dynamic prognostic value. We wanted to determine whether serial, quantitative antibody monitoring could capture early, subclinical immune activation and serve as a predictive biomarker for impending organ damage and pulmonary function loss. | + | |
| - | **What are you working on next related | + | === From Airport |
| - | We are focusing on several key follow-up directions: Validating these dynamic biomarker findings in larger, independent longitudinal SSc cohorts. | + | CTA Blue line from _O' |
| - | Investigating whether specific disease-modifying or immunosuppressive regimens (e.g., mycophenolate mofetil) effectively blunt quantitative anti-Scl-70 increases and whether autoantibody suppression correlates with stabilization of FVC and DLCO. | + | === From Hotel to Venue === |
| - | **What excites you most about your work?** | + | |
| + | | ||
| + | | ||
| + | | ||
| - | Moving from static risk assessment to dynamic, proactive monitoring in scleroderma care. Identifying an early biomarker signal that precedes overt physiological decline offers a crucial window of opportunity. It empowers rheumatologists to identify patients at high risk for imminent pulmonary progression and tailor monitoring or therapeutic strategies before irreversible lung loss occurs. | ||
| - | **What are you most looking forward to at ACR Convergence 2026 in Orlando?** | + | ====== Schedule ====== |
| - | Connecting with colleagues, translational researchers, and interstitial lung disease specialists | + | * Sun, Oct 26 |
| - | + | * 09:59 flight, DCA to ORD | |
| - | + | * 11:06 arrival | |
| - | + | * Mon, Oct 27 | |
| - | * < | + | * 10:30 - 12:30, Marce poster |
| - | + | * Hall F1 | |
| - | === Registration === | + | * Tue, Oct 28 |
| - | + | * 10:30 - 12:30, My abstract | |
| - | Early Registration: August 26, 23:59 EST | + | * Hall F1, 1949 |
| - | + | * 17:19 flight, ORD to DCA | |
| - | Timing: November 6–11 | + | * 20:16 arrival |
| - | + | ||
| - | === Abstract Character Limit === | + | |
| - | + | ||
| - | * Title limit: 250 characters, excluding spaces | + | |
| - | * Body character limit: 2,750 characters, which EXCLUDES the title, names of authors/co- | + | |
| - | authors, authors' | + | |
| - | * limit of three image, table, and/or graphic uploads per submission. Uploaded tables and/or graphics do not count towards the character limit. | + | |
| - | * References | + | |
| - | + | ||
| - | + | ||
| - | [[https:// | + | |