Effects of apolipoprotein E genotype on lipid profile and changes in lipid profile during hormone therapy in postmenopausal Korean women

Maturitas ◽  
2017 ◽  
Vol 100 ◽  
pp. 150
Author(s):  
Sung-Eun Kim ◽  
Jong-Wook Seo ◽  
Dong-Yun Lee ◽  
Byung-Koo Yoon ◽  
Seok Hyun Kim
2006 ◽  
Vol 3 (2) ◽  
pp. 157-160 ◽  
Author(s):  
Marwan Sabbagh ◽  
Shawn Sandhu ◽  
Heather Kolody ◽  
Tyson Lahti ◽  
Nina Silverberg ◽  
...  

2013 ◽  
Vol 28 (4) ◽  
pp. 371-376 ◽  
Author(s):  
María Gaibar ◽  
Gerónimo Fernández ◽  
Alicia Romero-Lorca ◽  
Apolonia Novillo ◽  
Armando Tejerina ◽  
...  

Objective This study examines the lipid profile change produced in response to tamoxifen (TAM) treatment, and its possible relationship with both apolipoprotein E genotype and menopausal state in patients with breast cancer. Methods: Blood samples were collected from 86 Spanish women with breast cancer before initiating TAM treatment and in the following 6, 12 and 18 months of treatment. Plasma lipid levels (total cholesterol, triglycerides, HDL-cholesterol and LDL-cholesterol) were determined using an automatic analyzer. Genotypes for apolipoprotein E (ApoE) were identified by PCR-RFLP using the HhaI enzyme. Results In all patients, significant reductions in total cholesterol and LDL-cholesterol concentrations and a significant increase in triglyceride concentrations were observed after 6, 12, and 18 months of TAM treatment compared to baseline (p<0.01 for each time point). In the subset of APOE4-negative patients, triglyceride concentrations also significantly increased after 6, 12, and 18 months of treatment (p=0.019, p=0.045, p=0.001, respectively), while APOE4-positive patients showed no significant lipid changes at 12 and 18 months. However, after 18 months of TAM treatment the overall triglyceride concentrations had risen by 24.75% in APOE4-negative patients vs 29.9% in APOE4-positive patients. In postmenopausal women, significant reductions in total cholesterol, LDL-cholesterol and LDL/HDL ratios were observed at each time point (p<0.020 for each). Conclusions TAM treatment induced similar plasma triglyceride increases in patients with positive or negative APOE genotype. Compared to premenopausal patients, postmenopausal breast cancer patients showed a more beneficial lipid profile change in response to treatment.


2006 ◽  
Vol 2 ◽  
pp. S434-S435
Author(s):  
Marwan N. Sabbagh ◽  
Shawn Sandhu ◽  
Heather Kolody ◽  
Tyson Lahti ◽  
Nina B. Silverberg ◽  
...  

2021 ◽  
Vol 2 ◽  
pp. 100010
Author(s):  
Aikaterini Theodorou ◽  
Ioanna Tsantzali ◽  
Elisabeth Kapaki ◽  
Vasilios C. Constantinides ◽  
Konstantinos Voumvourakis ◽  
...  

2021 ◽  
pp. 1-15
Author(s):  
Sung Hoon Kang ◽  
Bo Kyoung Cheon ◽  
Ji-Sun Kim ◽  
Hyemin Jang ◽  
Hee Jin Kim ◽  
...  

Background: Amyloid (Aβ) evaluation in amnestic mild cognitive impairment (aMCI) patients is important for predicting conversion to Alzheimer’s disease. However, Aβ evaluation through amyloid positron emission tomography (PET) is limited due to high cost and safety issues. Objective: We therefore aimed to develop and validate prediction models of Aβ positivity for aMCI using optimal interpretable machine learning (ML) approaches utilizing multimodal markers. Methods: We recruited 529 aMCI patients from multiple centers who underwent Aβ PET. We trained ML algorithms using a training cohort (324 aMCI from Samsung medical center) with two-phase modelling: model 1 included age, gender, education, diabetes, hypertension, apolipoprotein E genotype, and neuropsychological test scores; model 2 included the same variables as model 1 with additional MRI features. We used four-fold cross-validation during the modelling and evaluated the models on an external validation cohort (187 aMCI from the other centers). Results: Model 1 showed good accuracy (area under the receiver operating characteristic curve [AUROC] 0.837) in cross-validation, and fair accuracy (AUROC 0.765) in external validation. Model 2 led to improvement in the prediction performance with good accuracy (AUROC 0.892) in cross validation compared to model 1. Apolipoprotein E genotype, delayed recall task scores, and interaction between cortical thickness in the temporal region and hippocampal volume were the most important predictors of Aβ positivity. Conclusion: Our results suggest that ML models are effective in predicting Aβ positivity at the individual level and could help the biomarker-guided diagnosis of prodromal AD.


PLoS ONE ◽  
2019 ◽  
Vol 14 (11) ◽  
pp. e0224975 ◽  
Author(s):  
Iris Y. Kim ◽  
Francine Grodstein ◽  
Peter Kraft ◽  
Gary C. Curhan ◽  
Katherine C. Hughes ◽  
...  

1995 ◽  
Vol 33 (1) ◽  
pp. 174-178 ◽  
Author(s):  
Philippe Bertrand ◽  
Judes Poirier ◽  
Tomiichiro Oda ◽  
Caleb E. Finch ◽  
Giulio Maria Pasinetti

Climacteric ◽  
2011 ◽  
Vol 14 (1) ◽  
pp. 66-74 ◽  
Author(s):  
S. M. Kim ◽  
S. H. Kim ◽  
J. R. Lee ◽  
B. C. Jee ◽  
S-Y. Ku ◽  
...  

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