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Frank B. Hu

Bio: Frank B. Hu is an academic researcher from Harvard University. The author has contributed to research in topics: Type 2 diabetes & Diabetes mellitus. The author has an hindex of 250, co-authored 1675 publications receiving 253464 citations. Previous affiliations of Frank B. Hu include Southwest University & Brigham and Women's Hospital.


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Journal ArticleDOI
TL;DR: Alanine, phenylalanine, tyrosine and palmitoylcarnitine are identified as a novel metabolic marker of incident T2D in two prospective cohorts of Chinese adults, and their findings might provide new aetiological insight into the development of type 2 diabetes.
Abstract: Background Metabolomics studies in Caucasians have identified a number of novel metabolites in association with the risk of type 2 diabetes (T2D). However, few prospective metabolomic studies are available in Chinese populations. In the present study, we sought to identify novel metabolites consistently associated with incident T2D in two independent cohorts of Chinese adults. Methods We performed targeted metabolomics (52 metabolites) of fasting plasma samples by liquid chromatography-mass spectrometry in two prospective case-control studies nested within the Dongfeng-Tongji (DFTJ) cohort and Jiangsu Non-communicable Disease (JSNCD) cohort. After following for 4.61 ± 0.15 and 7.57 ± 1.13 years, respectively, 1039 and 520 eligible participants developed incident T2D in these two cohorts, and controls were 1:1 matched with cases by age (± 5 years) and sex. Multivariate conditional logistic regression models were constructed to identify metabolites associated with future T2D risk in both cohorts. Results We identified four metabolites consistently associated with an increased risk of developing T2D in the two cohorts, including alanine, phenylalanine, tyrosine and palmitoylcarnitine. In the meta-analysis of two cohorts, the odds ratios (95% confidence intervals, CIs) comparing extreme quartiles were 1.79 (1.32-2.42) for alanine, 1.91 (1.41-2.60) for phenylalanine, 1.85 (1.37-2.48) for tyrosine and 1.63 (1.21-2.20) for palmitoylcarnitine (all Ptrend ≤ 0.01). Conclusions We confirmed the association of alanine, phenylalanine and tyrosine with future T2D risk and further identified palmitoylcarnitine as a novel metabolic marker of incident T2D in two prospective cohorts of Chinese adults. Our findings might provide new aetiological insight into the development of T2D.

63 citations

Journal ArticleDOI
01 Nov 2006-Obesity
TL;DR: The association of circulating levels of soluble intercellular adhesion molecules and soluble vascular cell adhesion molecule with coronary heart disease risk factors is examined and whether these molecules alone, and in combination, can serve as predictors of coronary CHD.
Abstract: Objective: We examined the association of circulating levels of soluble intercellular adhesion molecules (sICAM-1) and soluble vascular cell adhesion molecules (sVCAM-1) with coronary heart disease (CHD) risk factors and whether the adhesion molecules alone, and in combination, can serve as predictors of coronary CHD. Research Methods and Procedures: Among 18,225 men from the Health Professional Follow-up Study who provided blood in 1994, we documented 266 incidents of non-fatal myocardial infarction or fatal CHD during 6 years of follow-up. The cases were matched 1:2 with non-cases on age, smoking, and month of blood draw. We found both adhesion molecules directly associated with BMI, inflammatory biomarkers, and triglycerides and inversely associated with high-density lipoprotein and alcohol intake (p < 0.05). After adjustment for C-reactive protein, cholesterol-to-high-density lipoprotein ratio, age, smoking, BMI, physical activity, alcohol intake, history of diabetes, parental history of CHD, aspirin use, antihypertensive drug use, and fasting status, the relative risk of CHD was 1.69 [95% confidence interval (CI), 1.14 to 2.51] for sICAM-1 and 1.34 (95% CI, 0.91 to 1.96) for sVCAM-1, when comparing the top quintile with the lower four quintiles. Control for other inflammatory or lipid biomarkers did not appreciably attenuate the associations. When we cross-classified participants based on their sICAM-1 and sVCAM-1 levels, only the men in the top quintile of both biomarkers [relative risk = 2.39 (95% CI, 1.45 to 3.91)] had a significantly elevated risk of CHD (P interaction = 0.01, multivariate model). Discussion: sICAM-1 and sVCAM-1 are directly associated with obesity and other CHD risk factors. The combination of high levels of both adhesion molecules might be associated with the development of CHD, independent of other CHD risk factors.

63 citations

Journal ArticleDOI
TL;DR: A Bayesian meta-analysis approach to data from 19 studies on 17 replicated associations with type 2 diabetes yielded point estimates for the genetic effects that were very similar to those previously reported based on fixed- or random-effects models, but uncertainty about several of the effects was substantially larger.
Abstract: For most associations of common single nucleotide polymorphisms (SNPs) with common diseases, the genetic model of inheritance is unknown. The authors extended and applied a Bayesian meta-analysis approach to data from 19 studies on 17 replicated associations with type 2 diabetes. For 13 SNPs, the data fitted very well to an additive model of inheritance for the diabetes risk allele; for 4 SNPs, the data were consistent with either an additive model or a dominant model; and for 2 SNPs, the data were consistent with an additive or recessive model. Results were robust to the use of different priors and after exclusion of data for which index SNPs had been examined indirectly through proxy markers. The Bayesian meta-analysis model yielded point estimates for the genetic effects that were very similar to those previously reported based on fixed- or random-effects models, but uncertainty about several of the effects was substantially larger. The authors also examined the extent of between-study heterogeneity in the genetic model and found generally small between-study deviation values for the genetic model parameter. Heterosis could not be excluded for 4 SNPs. Information on the genetic model of robustly replicated association signals derived from genome-wide association studies may be useful for predictive modeling and for designing biologic and functional experiments.

63 citations

Journal ArticleDOI
31 Oct 2014-PLOS ONE
TL;DR: The use of low-dose aspirin was beneficial for primary prevention of CVD and the decision regarding an aspirin regimen should be made on an individual patient basis.
Abstract: Objective To evaluate the benefits and harms of aspirin for the primary prevention of CVD and determine whether the effects vary by sex and diabetes status. Methods We searched Medline, Embase, and Cochrane databases for randomized controlled trials comparing the effects of aspirin with placebo or control in people with no pre-existing CVD. Two investigators independently extracted data and assessed the study quality. Analyses were performed using Stata version 12. Results Fourteen trials (107,686 participants) were eligible. Aspirin was associated with reductions in major cardiovascular events (risk ratio, 0.90; 95% confidence interval, 0.85–0.95), myocardial infarction (0.86; 0.75–0.93), ischemic stroke (0.86; 0.75–0.98) and all-cause mortality (0.94; 0.89–0.99). There were also increases in hemorrhagic stroke (1.34; 1.01–1.79) and major bleeding (1.55; 1.35–1.78) with aspirin. The number needed to treat to prevent 1 major cardiovascular event over a mean follow-up of 6.8 years was 284. By comparison, the numbers needed to harm to cause 1 major bleeding is 299. In subgroup analyses, pooled results demonstrated a reduction in myocardial infarction among men (0.71; 0.59–0.85) and ischemic stroke among women (0.77; 0.63–0.93). Aspirin use was associated with a reduction (0.65; 0.51–0.82) in myocardial infarction among diabetic men. In meta-regression analyses, the results suggested that aspirin therapy might be associated with a decrease in stroke among diabetic women and a decrease in MI among diabetic men and risk reductions achieved with low doses (75 mg/day) were as large as those obtained with higher doses (650 mg/day). Conclusions The use of low-dose aspirin was beneficial for primary prevention of CVD and the decision regarding an aspirin regimen should be made on an individual patient basis. The effects of aspirin therapy varied by sex and diabetes status. A clear benefit of aspirin in the primary prevention of CVD in people with diabetes needs more trials.

62 citations

Journal ArticleDOI
TL;DR: Plant-based diets, especially when rich in healthier plant foods, are associated with less weight gain over 4-y intervals, which supports current recommendations to increase intake of healthy plant Foods, and reducing intake of less-healthy plant foods and animal foods, for improved health outcomes.

62 citations


Cited by
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Journal ArticleDOI
TL;DR: The role of vitamin D in skeletal and nonskeletal health is considered and strategies for the prevention and treatment ofitamin D deficiency are suggested.
Abstract: Once foods in the United States were fortified with vitamin D, rickets appeared to have been conquered, and many considered major health problems from vitamin D deficiency resolved. But vitamin D deficiency is common. This review considers the role of vitamin D in skeletal and nonskeletal health and suggests strategies for the prevention and treatment of vitamin D deficiency.

11,849 citations

Journal ArticleDOI
TL;DR: Abnormal lipids, smoking, hypertension, diabetes, abdominal obesity, psychosocial factors, consumption of fruits, vegetables, and alcohol, and regular physical activity account for most of the risk of myocardial infarction worldwide in both sexes and at all ages in all regions.

10,387 citations

Journal ArticleDOI
TL;DR: This statement from the American Heart Association and the National Heart, Lung, and Blood Institute is intended to provide up-to-date guidance for professionals on the diagnosis and management of the metabolic syndrome in adults.
Abstract: The metabolic syndrome has received increased attention in the past few years. This statement from the American Heart Association (AHA) and the National Heart, Lung, and Blood Institute (NHLBI) is intended to provide up-to-date guidance for professionals on the diagnosis and management of the metabolic syndrome in adults. The metabolic syndrome is a constellation of interrelated risk factors of metabolic origin— metabolic risk factors —that appear to directly promote the development of atherosclerotic cardiovascular disease (ASCVD).1 Patients with the metabolic syndrome also are at increased risk for developing type 2 diabetes mellitus. Another set of conditions, the underlying risk factors , give rise to the metabolic risk factors. In the past few years, several expert groups have attempted to set forth simple diagnostic criteria to be used in clinical practice to identify patients who manifest the multiple components of the metabolic syndrome. These criteria have varied somewhat in specific elements, but in general they include a combination of both underlying and metabolic risk factors. The most widely recognized of the metabolic risk factors are atherogenic dyslipidemia, elevated blood pressure, and elevated plasma glucose. Individuals with these characteristics commonly manifest a prothrombotic state and a pro-inflammatory state as well. Atherogenic dyslipidemia consists of an aggregation of lipoprotein abnormalities including elevated serum triglyceride and apolipoprotein B (apoB), increased small LDL particles, and a reduced level of HDL cholesterol (HDL-C). The metabolic syndrome is often referred to as if it were a discrete entity with a single cause. Available data suggest that it truly is a syndrome, ie, a grouping of ASCVD risk factors, but one that probably has more than one cause. Regardless of cause, the syndrome identifies individuals at an elevated risk for ASCVD. The magnitude of the increased risk can vary according to which components of the syndrome are …

9,982 citations