Mei-Ling Ting Lee

Prof. Dr. Mei-Ling Ting Lee


Research Focus & Metrics

Academic Career Length

36Years (1991-Present)

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

Representative Publications

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1 February 2014 in Computational Statistics & Data Analysis
Verified
Journal Article
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RCRaul Cruz-Cano
Raul Cruz-Cano
MLMei-Ling Ting Lee
Mei-Ling Ting Lee

4 December 2009 in Lifetime Data Analysis
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Journal Article
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MLMei-Ling Ting Lee
Mei-Ling Ting Lee
GWG. A. Whitmore
G. A. Whitmore

8 March 2010 in Statistics in Medicine
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Journal Article
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MLMei-Ling Ting Lee
Mei-Ling Ting Lee
GWG. A. Whitmore
G. A. Whitmore
BRBernard A. Rosner
Bernard A. Rosner

1 November 2015 in Cancer Prevention Research
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Journal Article
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JAJennifer H. Ahn-Jarvis
Jennifer H. Ahn-Jarvis
SCSteven K. Clinton
Steven K. Clinton
EGElizabeth M. Grainger
Elizabeth M. Grainger
KRKenneth M. Riedl
Kenneth M. Riedl
SSSteven Schwartz
Steven Schwartz
YVYael Vodovotz
Yael Vodovotz
Epidemiologic associations suggest that populations consuming substantial amounts of dietary soy exhibit a lower risk of prostate cancer. A 20-week randomized, phase II, crossover trial was conducted in 32 men with asymptomatic prostate cancer. The crossover involved 8 weeks each of soy bread (SB) and soy–almond bread (SAB). The primary objective was to investigate isoflavone bioavailability and metabolite profile. Secondary objectives include safety, compliance, and assessment of biomarkers linked to prostate carcinogenesis. Two distinct SBs were formulated to deliver approximately 60 mg aglycone equivalents of isoflavones per day. The isoflavones were present as aglycones (∼78% as aglycones) in the SAB whereas in the standard SB predominantly as glucosides (18% total isoflavones as aglycones). Compliance to SB (97% ± 4%) and SAB (92% ± 18%) was excellent; toxicity was rare and limited to grade 1 gastrointestinal complaints. Pharmacokinetic studies between SB and SAB showed modest differences. Peak serum concentration time (Tmax) was significantly faster with SAB meal compared with SB in some isoflavonoids, and AUC0 to 24 h of dihydrodaidzein and O-desmethylangolensin was significantly greater after an SB meal. An exploratory cluster analysis was used to identify four isoflavone-metabolizing phenotypes. Insulin-like growth factor–binding protein increased significantly by 41% (P = 0.024) with soy intervention. Findings from this study provide the necessary framework to study isoflavone-metabolizing phenotypes as a strategy for identification of individuals that might benefit or show resistance to cancer preventive strategies using dietary soy. A standardized SB used for future large-scale randomized clinical trials to affect human prostate carcinogenesis is feasible. Cancer Prev Res; 8(11); 1045–54. ©2015 AACR.

3 December 2013 in Statistics in Medicine
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FSFang Shao
Fang Shao
JLJialiang Li
Jialiang Li
SMShuangge Ma
Shuangge Ma
MLMei-Ling Ting Lee
Mei-Ling Ting Lee

22 July 2016 in BMC Infectious Diseases
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Journal Article
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Rachel GoldsteinRachel Goldstein
Rachel Goldstein
RCRaul Cruz-Cano
Raul Cruz-Cano
CJChengsheng Jiang
Chengsheng Jiang
APAmanda Palmer
Amanda Palmer
DBDavid Blythe
David Blythe
ASAmy Sapkota
Amy Sapkota
Campylobacter is a leading cause of foodborne illness in the United States. Campylobacter infections have been associated with individual risk factors, such as the consumption of poultry and raw milk. Recently, a Maryland-based study identified community socioeconomic and environmental factors that are also associated with campylobacteriosis rates. However, no previous studies have evaluated the association between community risk factors and campylobacteriosis rates across multiple U.S. states. We obtained Campylobacter case data (2004–2010; n = 40,768) from the Foodborne Diseases Active Surveillance Network (FoodNet) and socioeconomic and environmental data from the 2010 Census of Population and Housing, the 2011 American Community Survey, and the 2007 U.S. Census of Agriculture. We linked data by zip code and derived incidence rate ratios using negative binomial regression models. Community socioeconomic and environmental factors were associated with both lower and higher campylobacteriosis rates. Zip codes with higher percentages of African Americans had lower rates of campylobacteriosis (incidence rate ratio [IRR]) = 0.972; 95 % confidence interval (CI) = 0.970,0.974). In Georgia, Maryland, and Tennessee, three leading broiler chicken producing states, zip codes with broiler operations had incidence rates that were 22 % (IRR = 1.22; 95 % CI = 1.03,1.43), 16 % (IRR = 1.16; 95 % CI = 0.99,1.37), and 35 % (IRR = 1.35; 95 % CI = 1.18,1.53) higher, respectively, than those of zip codes without broiler operations. In Minnesota and New York FoodNet counties, two top dairy producing areas, zip codes with dairy operations had significantly higher campylobacteriosis incidence rates (IRR = 1.37; 95 % CI = 1.22, 1.55; IRR = 1.19; 95 % CI = 1.04,1.36). Community socioeconomic and environmental factors are important to consider when evaluating the relationship between possible risk factors and Campylobacter infection.