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2 citation(s) found for "Tang, Andrew".

Impact of Sleep Positioning Device on Acid Exposure and Outcomes in Lung Transplant Recipients With Gastroesophageal Reflux Disease
Aggarwal, Manik , Thuita, Lucy , Greathouse, Tyler, Rappaport, Jesse , Kichler, Adam, Arora, Zubin , Qin, Yi, Akindipe, Olufemi, Tang, Andrew , Murthy, SC, Lane, Charles, Budev, Marie, Ahmad, Usman, Gabbard, Scott , Lane, Charles Randall, Budev, Marie , Ahmad, Usman

Mayo Clinic

Journal of Clinical Gastroenterology | January 21, 2026 | Volume: 60 | Issue: 7 | Pages: 619-625

10.1097/mcg.0000000000002300 | PMID 41564033 Get It

Introduction: Gastroesophageal reflux disease (GERD) plays an important role in lung transplant (LT) outcomes. This study aims to evaluate the impact of a novel sleep positioning device (SPD) on lung function in LT recipients with GERD. Methods: In this single-center cohort study, LT recipients (2014 to 2019) with GERD who were prescribed an SPD within 2 years of LT were included. A historical control group of LT recipients with GERD on PPI only (2011 to 2013) was selected to compare forced expiratory volume in 1 second (FEV1) as a marker of lung function. Results: Twenty LT recipients using SPD (cases) and 54 patients in the historical control group with proven GERD were included. Mean (SD) interval between LT and SPD prescription was 8.6 (5.7) months. Mean % predicted FEV1 was higher in SPD users than controls post-LT at 6 months (80% vs. 69%) and 1 year (80% vs. 71%), respectively. Among SPD users, post-SPD FEV1 was higher than pre-SPD FEV1 (82% vs. 70%). Conclusion: Use of a novel SPD can stabilize or improve pulmonary function in patients with GERD after LT. SPD may be a safe and cost-effective adjunctive therapy for the management of GERD after LT.
Predictive metabolic networks reveal sex‐ and APOE genotype‐specific metabolic signatures and drivers for precision medicine in Alzheimer's disease
Chang, Rui , Trushina, Eugenia , Zhu, Kuixi , Zaidi, Syed Shujaat Ali , Lau, Branden M, Moein, Sara, He, Qianying, Alamprese, Melissa , Vagnerova, Barbora, Tang, Andrew, Vijayan, Ramachandran , Liu, Yan‐Yun , Saykin, Andrew J. , Young‐Pearse, Tracy L. , Saykin, Andrew J , Trushina, Eugenia , Kueider‐Paisley, Alexandra , Tang, Andrew, Vijayan, Ramachandran, Brinton, Roberta Dı́az , Kaddurah‐Daouk, Rima

Mayo Clinic

Alzheimer's & Dementia | April 28, 2022 | Volume: 19 | Issue: 2 | Pages: 518-531

10.1002/alz.12675 | PMID 35481667 Get It

Abstract Introduction Late‐onset Alzheimer's disease (LOAD) is a complex neurodegenerative disease characterized by multiple progressive stages, glucose metabolic dysregulation, Alzheimer's disease (AD) pathology, and inexorable cognitive decline. Discovery of metabolic profiles unique to sex, apolipoprotein E ( APOE ) genotype, and stage of disease progression could provide critical insights for personalized LOAD medicine. Methods Sex‐ and APOE ‐specific metabolic networks were constructed based on changes in 127 metabolites of 656 serum samples from the Alzheimer's Disease Neuroimaging Initiative cohort. Results Application of an advanced analytical platform identified metabolic drivers and signatures clustered with sex and/or APOE ɛ4, establishing patient‐specific biomarkers predictive of disease state that significantly associated with cognitive function. Presence of the APOE ɛ4 shifts metabolic signatures to a phosphatidylcholine‐focused profile overriding sex‐specific differences in serum metabolites of AD patients. Discussion These findings provide an initial but critical step in developing a diagnostic platform for personalized medicine by integrating metabolomic profiling and cognitive assessments to identify targeted precision therapeutics for AD patient subgroups through computational network modeling.