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Start Over Author "Lu, Qi" Topic diabetes complications Journal diabetes care
3 results on '"Lu, Qi"'

1. Sex Differences in Cardiovascular Risk Profile From Childhood to Midlife Between Individuals Who Did and Did Not Develop Diabetes at Follow-up: The Bogalusa Heart Study

Author

Vivian Fonseca, Lydia A. Bazzano, Camilo Fernandez, Franck Mauvais-Jarvis, Lu Qi, Wei Chen, Marie Krousel-Wood, Yajun Guo, Tingting Du, Emily W. Harville, and Rupert Barshop

Subjects
Research design, Adult, Male, Pediatrics, medicine.medical_specialty, Cardiovascular and Metabolic Risk, Adolescent, Endocrinology, Diabetes and Metabolism, Cardiovascular risk factors, Cumulative Exposure, Risk profile, White People, Diabetes Complications, Young Adult, Risk Factors, Diabetes mellitus, Internal Medicine, medicine, Diabetes Mellitus, Humans, Longitudinal Studies, Risk factor, Young adult, Child, Advanced and Specialized Nursing, Sex Characteristics, business.industry, Middle Aged, medicine.disease, Cardiovascular Diseases, Child, Preschool, Female, business, Sex characteristics
Abstract

OBJECTIVE Childhood and young adulthood may represent time periods in which cardiovascular risk factors (CVRFs) and their cumulative exposure lay the foundation for future risk of chronic diseases. We examined the longitudinal burden of CVRFs since childhood in men and women in whom diabetes did and did not develop at follow-up. RESEARCH DESIGN AND METHODS We included 1,530 participants (mean [SD] follow-up time 33.1 [8.2] years), who participated in the Bogalusa Heart Study and had been examined at least four times starting in childhood (mean age [SD] at first examination 9.4 [3.1] years). The area under the growth curve was used as a measure of cumulative exposure to CVRFs since childhood. RESULTS In childhood, boys and girls in whom diabetes did and did not develop at follow-up had similar CVRFs. Yet, over time, women during the transition from normoglycemia to diabetes experienced greater adverse changes in total cholesterol (TC), LDL cholesterol, and fasting plasma glucose (FPG) (noted as early as 23.5 years old and persisting across adulthood up to the age of the diagnosis of diabetes); a higher burden of exposure to BMI, TC, LDL cholesterol, and FPG from childhood to midlife; and a greater change in rates of BMI, TC, LDL cholesterol, and FPG since childhood than men during the same transition (interaction P values CONCLUSIONS The greater exposure of women to and burden of CVRFs associated with diagnosis of diabetes may help to explain the stronger impact of diabetes as a major risk factor for cardiovascular events in women compared with men.

Published
2018

2. Perilipin Gene Variation Determines Higher Susceptibility to Insulin Resistance in Asian Women When Consuming a High-Saturated Fat, Low-Carbohydrate Diet.

Author

Corella, Dolores, Lu Qi, E. Shyong Tai, Deurenberg-Yap, Mabel, Chee Eng Tan, Suok Kai Chew, and Ordovas, Jose M.

Subjects
*INSULIN resistance, *DIABETES complications, *HOMEOSTASIS, *GENETIC polymorphisms, *DIETARY carbohydrates, *CARBOHYDRATES in the body
Abstract

OBJECTIVE -- To investigate the association between genetic variation in the adipocyte protein perilipin (PLIN) and insulin resistance in an Asian population as well as to examine their modulation by macronutrient intake. RESEARCH DESIGN AND METHODS -- A nationally representative sample (Chinese, Malays, and Indians) was selected in the Singapore National Health Survey following the World Health Organization-recommended model for field surveys of diabetes. A total of 1,909 men and 2,198 women (aged 18-69 years) were studied. Genetic (PLIN 11482G→A and 14995A→T), lifestyle, clinical, and biochemical data were obtained. Homeostasis model assessment of insulin resistance (HOMA-IR) was used to evaluate insulin resistance. Diet was measured by a validated food frequency questionnaire in one of every two subjects. RESULTS -- We did not find a significant between-genotype difference in insulin resistance measures. However, in women we found statistically significant gene-diet interactions (recessive model) between PLIN 11482G→A/14995A→T polymorphisms (in high linkage disequilibrium) and saturated fatty acids (SFAs; P = 0.003/0.005) and carbohydrate (P = 0.004/0.012) in determining HOMA-IR. These interactions were in opposite directions and were more significant for 11482G→A, considered the tag polymorphism. Thus, women in the highest SFA tertile (11.8-19%) had higher HOMA-IR (48% increase; P trend = 0.006) than women in the lowest (3.1-9.4%) only if they were homozygotes for the PLIN minor allele. Conversely, HOMA-IR decreased (-24%; P trend = 0.046) as carbohydrate intake increased. These effects were stronger when SFAs and carbohydrate were combined as an SFA-to-carbohydrate ratio. Moreover, this gene-diet interaction was homogeneously found across the three ethnic groups. CONCLUSIONS -- PLIN 11482G→A/14995A→T polymorphisms modulate the association between SFAs/carbohydrate in diet and insulin resistance in Asian women. [ABSTRACT FROM AUTHOR]

Published
2006
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3. Diabetes Genetic Predisposition Score and Cardiovascular Complications Among Patients With Type 2 Diabetes.

Author

QIBIN QI, MEIGS, JAMES B., REXRODE, KATHRYN M., HU, FRANK B., and LU QI

Subjects
PEOPLE with diabetes, GENETICS of diabetes, CARDIOVASCULAR diseases risk factors, MEDICAL genetics, DIABETES complications
Abstract

OBJECTIVE -- To examine the association between genetic predisposition to type 2 diabetes (T2D) and risk of cardiovascular disease (CVD) among patients with T2D. RESEARCH DESIGN AND METHODS -- The current study included 1,012 men and 1,310 women with T2D from the Health Professionals Follow-up Study and Nurses' Health Study, including 677 patients with CVD and 1,645 non-CVD control subjects. A genetic predisposition score (GPS) was calculated on the basis of 36 established independent diabetes-predisposing variants. RESULTS -- Each additional diabetes-risk allele in the GPS was associated with a 3% increased risk of CVD (odds ratio [OR] 1.03 [95% CI 1.00-1.06]). The OR was 1.47 (1.11-1.95) for CVD risk by comparing extreme quartiles of the GPS (P for trend = 0.01). We also found that the GPS was positively associated with hemoglobin A1c levels (P = 0.009). CONCLUSIONS -- Genetic predisposition to T2D is associated with an increased risk of cardiovascular complications in patients with T2D. [ABSTRACT FROM AUTHOR]

Published
2013
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