Sharon M. Lutz

Dr. Sharon M. Lutz


Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
19 May 2021 in Genetic Epidemiology
Verified
Journal Article
Closed access
PDF file
SLSharon M. Lutz
Sharon M. Lutz
AWAnn Chen Wu
Ann Chen Wu
JHJohn E. Hokanson
John E. Hokanson
SVStijn Vansteelandt
Stijn Vansteelandt
CLChristoph Lange
Christoph Lange

5 September 2021 in Clinical & Experimental Allergy
Verified
Journal Article
Closed access
PDF file
JSJoanne E. Sordillo
Joanne E. Sordillo
SLSharon M. Lutz
Sharon M. Lutz
EJEric Jorgenson
Eric Jorgenson
CICarlos Iribarren
Carlos Iribarren
Michael McGeachieMichael McGeachie
Michael McGeachie
Ann WuAnn Wu
Ann Wu

16 February 2022 in Genetic Epidemiology
Verified
Journal Article
Closed access
PDF file
SLSharon M. Lutz
Sharon M. Lutz
KVKirsten Voorhies
Kirsten Voorhies
AWAnn Chen Wu
Ann Chen Wu
JHJohn Hokanson
John Hokanson
SVStijn Vansteelandt
Stijn Vansteelandt
CLChristoph Lange
Christoph Lange

7 September 2019 in Metabolites
Verified
Journal Article
Open access
PDF file
Rachel KellyRachel Kelly
Rachel Kelly
JSJoanne E. Sordillo
Joanne E. Sordillo
SLSharon M. Lutz
Sharon M. Lutz
LALydiana Avila
Lydiana Avila
MSManuel Soto-Quiros
Manuel Soto-Quiros
Ann WuAnn Wu
Ann Wu
The role of metabolism in modifying age-related differential responses to asthma medications is insufficiently understood. The objective of this study was to determine the role of the metabolome in modifying the effect of age on bronchodilator response (BDR) in individuals with asthma. We used longitudinal measures of BDR and plasma metabolomic profiling in 565 children with asthma from the Childhood Asthma Management Program (CAMP) to identify age by metabolite interactions on BDR. The mean ages at the three studied time-points across 16 years of follow-up in CAMP were 8.8, 12.8, and 16.8 years; the mean BDRs were 11%, 9% and 8%, respectively. Of 501 identified metabolites, 39 (7.8%) demonstrated a significant interaction with age on BDR (p-value < 0.05). We were able to validate two significant interactions in 320 children with asthma from the Genetics of Asthma in Costa Rica Study; 2-hydroxyglutarate, a compound involved in butanoate metabolism (interaction; CAMP: β = −0.004, p = 1.8 × 10−4; GACRS: β = −0.015, p = 0.018), and a cholesterol ester; CE C18:1 (CAMP: β = 0.005, p = 0.006; GACRS: β = 0.023, p = 0.041) Five additional metabolites had a p-value < 0.1 in GACRS, including Gammaminobutyric acid (GABA), C16:0 CE, C20:4 CE, C18.0 CE and ribothymidine. These findings suggest Cholesterol esters and GABA may modify the estimated effect of age on bronchodilator response.

1 January 2021 in Allergy, Asthma & Immunology Research
Verified
Journal Article
Open access
PDF file
ATAnshul Tiwari
Anshul Tiwari
AWAlberta Wang
Alberta Wang
JLJiang Li
Jiang Li
SLSharon M. Lutz
Sharon M. Lutz
AKAlvin T. Kho
Alvin T. Kho
Michael McGeachieMichael McGeachie
Michael McGeachie
Tiwari A, et al. Allergy Asthma Immunol Res. 2021 Jul;13(4):576-588. https://doi.org/10.4168/aair.2021.13.4.576

Verified
Journal Article
Open access
PDF file
PKPriyadarshini Kachroo
Priyadarshini Kachroo
JSJoanne Sordillo
Joanne Sordillo
SLSharon M. Lutz
Sharon M. Lutz
SWScott T. Weiss
Scott T. Weiss
Rachel KellyRachel Kelly
Rachel Kelly
Jessica Lasky-SuJessica Lasky-Su
Jessica Lasky-Su
Metabolomic indicators of asthma treatment responses have yet to be identified. In this study, we aimed to uncover plasma metabolomic profiles associated with asthma exacerbations while on inhaled corticosteroid (ICS) treatment. We determined whether these profiles change with age from adolescence to adulthood. We utilized data from 170 individuals with asthma on ICS from the Mass General Brigham Biobank to identify plasma metabolites associated with asthma exacerbations while on ICS and examined potential effect modification of metabolite-exacerbation associations by age. We used liquid chromatography–high-resolution mass spectrometry-based metabolomic profiling. Sex-stratified analyses were also performed for the significant associations. The age range of the participating individuals was 13–43 years with a mean age of 33.5 years. Of the 783 endogenous metabolites tested, eight demonstrated significant associations with exacerbation after correction for multiple comparisons and adjusting for potential confounders (Bonferroni p value < 6.2 × 10−4). Potential effect modification by sex was detected for fatty acid metabolites, with males showing a greater reduction in their metabolite levels with ICS exacerbation. Thirty-eight metabolites showed suggestive interactions with age on exacerbation (nominal p-value < 0.05). Our findings demonstrate that plasma metabolomic profiles differ for individuals who experience asthma exacerbations while on ICS. The differentiating metabolites may serve as biomarkers of ICS response and may highlight metabolic pathways underlying ICS response variability.