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Dive into the research topics where Akintunde O. Akinkuolie is active.

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Featured researches published by Akintunde O. Akinkuolie.


Journal of the American Heart Association | 2014

A Novel Protein Glycan Biomarker and Future Cardiovascular Disease Events

Akintunde O. Akinkuolie; Julie E. Buring; Paul M. Ridker; Samia Mora

Background Glycosylated proteins partake in multiple cellular processes including inflammation. We hypothesized that GlycA, a novel biomarker of protein glycan N‐acetyl groups, is related to incident cardiovascular disease (CVD), and we compared it with high‐sensitivity C‐reactive protein (hsCRP). Methods and Results In 27 491 initially healthy women, baseline GlycA was quantified by nuclear magnetic resonance spectroscopy and hsCRP by an immunoturbidimetric assay. During median follow‐up of 17.2 years, 1648 incident CVD events occurred (myocardial infarction, ischemic stroke, coronary revascularization, and CVD death). GlycA and hsCRP were moderately correlated (Spearman r=0.61, P<0.0001). In Cox regression models that included age, ethnicity, smoking, blood pressure, medications, menopausal status, body mass index, and diabetes, hazard ratios for CVD across quartiles 1 to 4 of GlycA were 1.00, 1.10 (95% CI, 0.92 to 1.30), 1.34 (95% CI, 1.13 to 1.58), and 1.64 (95% CI, 1.39 to 1.93), similar to hsCRP, for which hazard ratios were 1.00, 1.18 (95% CI, 0.99 to 1.41), 1.35 (95% CI, 1.14 to 1.61), and 1.75 (95% CI, 1.47 to 2.09) (both Ptrend<0.0001). Associations were attenuated after additionally adjusting for lipids: the hazard ratio of quartile 4 versus 1 for GlycA was 1.23 (95% CI, 1.04 to 1.46; Ptrend=0.002) and for hsCRP was 1.44 (95% CI, 1.20 to 1.72; Ptrend<0.0001). Further adjustment for the other biomarker resulted in a hazard ratio of quartile 4 versus 1 for GlycA of 1.03 (95% CI, 0.85 to 1.24; Ptrend=0.41) and for hsCRP of 1.29 (95% CI, 1.06 to 1.56; Ptrend=0.001). Conclusions In this prospective study of initially healthy women, baseline GlycA was associated with incident CVD, consistent with a possible role for protein glycans in inflammation and CVD. Clinical Trial Registration URL: http//clinicaltrials.gov/. Unique identifier NCT00000479.


Arteriosclerosis, Thrombosis, and Vascular Biology | 2015

Novel Protein Glycan Side-Chain Biomarker and Risk of Incident Type 2 Diabetes Mellitus

Akintunde O. Akinkuolie; Aruna D. Pradhan; Julie E. Buring; Paul M. Ridker; Samia Mora

Objectives—Enzymatically glycosylated proteins partake in multiple biological processes, including glucose transport and inflammation. We hypothesized that a novel biomarker (GlycA) of N-acetyl methyl groups originating mainly from N-acetylglucosamine moieties of acute-phase glycoproteins is related to incident type 2 diabetes mellitus and compared it with high-sensitivity C-reactive protein. Approach and Results—In 26 508 initially healthy women free of diabetes mellitus, baseline GlycA and high-sensitivity C-reactive protein were quantified by nuclear magnetic resonance spectroscopy and immunoturbidimetry, respectively. During median follow-up of 17.2 years, 2087 type 2 diabetes mellitus cases occurred. In Cox models with adjustment for age, race, smoking, alcohol, activity, menopausal status, hormone use, family history, and body mass index, quartile 4 versus 1 hazard ratios and 95% confidence intervals were 2.67 (2.26–3.14) for GlycA and 3.93 (3.24–4.77) for high-sensitivity C-reactive protein; both P trend <0.0001. Associations for GlycA and high-sensitivity C-reactive protein were attenuated after additionally adjusting for lipids: 1.65 (1.39–1.95) and 2.83 (2.32–3.44), respectively, both P trend <0.0001, and after mutual adjustment: 1.11 (0.93–1.33; P trend=0.10) and 2.57 (2.09–3.16; P trend<0.0001), respectively. Conclusions—Our finding of an association between a consensus glycan sequence common to a host of acute-phase reactants and incident type 2 diabetes mellitus provides further support for inflammation in the development of type 2 diabetes mellitus. Additional studies exploring the role of enzymatic glycosylation in the prevention of type 2 diabetes mellitus are warranted. Clinical Trial Registration—URL: http://www.clinicaltrials.gov. Unique identifier: NCT00000479.


Circulation-cardiovascular Quality and Outcomes | 2014

High-Density Lipoprotein Particle Subclass Heterogeneity and Incident Coronary Heart Disease

Akintunde O. Akinkuolie; Nina P. Paynter; Latha Padmanabhan; Samia Mora

Background—Raising the cholesterol of high-density lipoprotein (HDL) particles is targeted as a cardiovascular disease prevention strategy. However, HDL particles are heterogeneous in composition and structure, which may relate to differences in antiatherogenic potential. We prospectively evaluated the association of HDL subclasses, defined by a recently proposed nomenclature, with incident coronary heart disease (CHD). Methods and Results—Baseline HDL particle concentrations were measured by nuclear magnetic resonance spectroscopy and categorized into 5 subclasses (very large, large, medium, small, and very small) among 26 332 initially healthy women. During a median follow-up of 17 years, 969 cases of incident CHD (myocardial infarction, revascularization, and CHD death) were ascertained. In Cox models that adjusted for age, race/ethnicity, blood pressure, smoking, postmenopausal status, and hormone therapy, associations with incident CHD were inverse (P trend<0.0001) for concentrations of very large (hazard ratio for top versus bottom quartile, 0.49; 95% confidence interval, 0.41–0.60), large (0.54; 0.45–0.64), and medium (0.69; 0.58–0.83) HDL subclasses. Conversely, hazard ratios (95% confidence intervals) for small and very small HDL were 1.22 (1.01–1.46; P trend=0.08) and 1.67 (1.39–2.02; P trend<0.0001), respectively. However, after additionally adjusting for metabolic and lipoprotein variables, associations for the spectrum of large, medium, and small HDL subclasses were inverse (P trend<0.05 for large and small and 0.07 for medium), whereas subclasses at either end of the spectrum were not associated with CHD (P trend=0.97 for very large and 0.21 for very small HDL). Conclusions—In this prospective study, associations with incident CHD differed by HDL particle subclass, which may be relevant for developing HDL-modulating therapies. Clinical Trial Registration—URL: http://www.clinicaltrials.gov. Unique identifier: NCT00000479.


Circulation Research | 2016

Circulating N-Linked Glycoprotein Acetyls and Longitudinal Mortality Risk

Patrick R. Lawler; Akintunde O. Akinkuolie; Paulette D. Chandler; M.V. Moorthy; Martin VanDenburgh; Debra A. Schaumberg; I-Min Lee; Robert J. Glynn; Paul M. Ridker; Julie E. Buring; Samia Mora

RATIONALE Circulating glycoprotein N-acetyl glucosamine residues have recently been associated with incident cardiovascular disease and diabetes mellitus. OBJECTIVE Using a plasma glycan biosignature (GlycA) to identify circulating N-acetyl glycan groups, we examined the longitudinal association between GlycA and mortality among initially healthy individuals. METHODS AND RESULTS We quantified GlycA by 400 MHz (1)H nuclear magnetic resonance spectroscopy in 27,524 participants in the Womens Health Study (NCT00000479). The primary outcome was all-cause mortality. We replicated the findings in an independent cohort of 12,527 individuals in the Justification for the Use of statins in Prevention: an Intervention Trial Evaluating Rosuvastatin (JUPITER) trial (NCT00239681). We also undertook secondary examination of cardiovascular disease and cancer mortality in the Womens Health Study. In the Womens Health Study, during 524,515 person-years of follow-up (median, 20.5 years), there were 3523 deaths. Risk factor-adjusted multivariable Cox proportional hazard ratio (95% confidence interval) per SD increment in GlycA for all-cause mortality was significantly increased at 5 years (1.21 [1.06-1.40]) and during maximal follow-up (1.14 [1.09-1.16]). Similar risk for all-cause mortality was observed in the replication cohort (1.33 [1.21-1.45]). In the Womens Health Study, risk of cardiovascular disease mortality was increased at 5 years (1.43 [1.05-1.95]) and during maximal follow-up (1.15 [1.04-1.26]) and of cancer mortality at 5 years (1.23 [1.02-1.47]) and during maximal follow-up (1.08 [1.01-1.16]). Examination of correlations and mortality associations adjusted for high-sensitivity C-reactive protein, fibrinogen, and intercellular adhesion molecule-1, suggested that GlycA reflects summative risk related to multiple pathways of systemic inflammation. CONCLUSIONS Among initially healthy individuals, elevated baseline circulating glycoprotein N-acetyl methyl groups were associated with longitudinal risk of all-cause, cardiovascular, and cancer mortality.


Circulation-arrhythmia and Electrophysiology | 2014

Paradoxical Association of Lipoprotein Measures with Incident Atrial Fibrillation

Samia Mora; Akintunde O. Akinkuolie; Roopinder K. Sandhu; David Conen; Christine M. Albert

Background—Low-density lipoprotein (LDL) cholesterol is a strong risk factor for atherosclerosis but has an inverse association with atrial fibrillation (AF). We aimed to provide insight into the paradoxical association of LDL cholesterol with AF by evaluating the relationship of various lipoprotein measures and incident AF. Methods and Results—We prospectively evaluated lipoprotein measures among 23 738 healthy middle-aged and older women (median follow-up 16.4 years; N=795 incident AF events). Baseline LDL cholesterol was directly measured, lipoprotein particle concentrations and size were measured by nuclear magnetic resonance spectroscopy, and apolipoproteins were measured by immunoassay. Cox regression models were adjusted for age, AF risk factors, inflammatory, and dysglycemic biomarkers. After multivariable adjustment, inverse associations with AF were observed (hazard ratio, 95% confidence interval for top versus bottom quintile, P value) for LDL cholesterol (0.72, 0.56–0.92, P=0.009), the total number of LDL particles (0.77, 0.60–0.99, P=0.045), and very-low-density lipoprotein particles (0.78, 0.61–0.99, P=0.04), which was driven by the number of cholesterol-poor small LDL (0.78, 0.61–1.00, P=0.05) and small very-low-density lipoprotein particles (0.78, 0.62–0.99, P=0.04). By contrast, the larger cholesterol-rich LDL particles and all high-density lipoprotein measures were not associated with AF in multivariable models. Adjustment for inflammatory and dysglycemic biomarkers had minimal impact on these associations. Conclusions—In this prospective study, the inverse association between LDL cholesterol and AF extended to several other atherogenic lipoproteins, and these associations are unlikely to be mediated by direct cholesterol effects. Clinical Trial Registration—ClinicalTrials.gov; Unique Identifier: NCT00000479.


Clinical Chemistry | 2015

Identifying an Optimal Cutpoint for the Diagnosis of Hypertriglyceridemia in the Nonfasting State

Khendi T. White; M.V. Moorthy; Akintunde O. Akinkuolie; Olga Demler; Paul M. Ridker; Nancy R. Cook; Samia Mora

BACKGROUND Nonfasting triglycerides are similar or superior to fasting triglycerides at predicting cardiovascular events. However, diagnostic cutpoints are based on fasting triglycerides. We examined the optimal cutpoint for increased nonfasting triglycerides. METHODS We obtained baseline nonfasting (<8 h since last meal) samples from 6391 participants in the Womens Health Study who were followed prospectively for ≤17 years. The optimal diagnostic threshold for nonfasting triglycerides, determined by logistic regression models by use of c-statistics and the Youden index (sum of sensitivity and specificity minus 1), was used to calculate hazard ratios (HRs) for incident cardiovascular events. Performance was compared to thresholds recommended by the American Heart Association (AHA) and European guidelines. RESULTS The optimal threshold was 175 mg/dL (1.98 mmol/L), with a c-statistic of 0.656, statistically better than the AHA cutpoint of 200 mg/dL (c-statistic 0.628). For nonfasting triglycerides above and below 175 mg/dL, after adjusting for age, hypertension, smoking, hormone use, and menopausal status, the HR for cardiovascular events was 1.88 (95% CI 1.52-2.33, P < 0.001), and for triglycerides measured at 0-4 and 4-8 h since the last meal, 2.05 (1.54- 2.74) and 1.68 (1.21-2.32), respectively. We validated performance of this optimal cutpoint by use of 10-fold cross-validation and bootstrapping of multivariable models that included standard risk factors plus total and HDL cholesterol, diabetes, body mass index, and C-reactive protein. CONCLUSIONS In this study of middle-aged and older apparently healthy women, we identified a diagnostic threshold for nonfasting hypertriglyceridemia of 175 mg/dL (1.98 mmol/L), with the potential to more accurately identify cases than the currently recommended AHA cutpoint.


Journal of the American Heart Association | 2017

Atherogenic Lipoprotein Determinants of Cardiovascular Disease and Residual Risk Among Individuals With Low Low‐Density Lipoprotein Cholesterol

Patrick R. Lawler; Akintunde O. Akinkuolie; Audrey Y. Chu; Svati H. Shah; William E. Kraus; Damian M. Craig; Latha Padmanabhan; Robert J. Glynn; Paul M. Ridker; Daniel I. Chasman; Samia Mora

Background Levels of LDL (low‐density lipoprotein) cholesterol in the population are declining, and increasing attention is being focused on residual lipid‐related pathways of atherosclerotic cardiovascular disease risk beyond LDL cholesterol. Among individuals with low (<130 mg/dL) LDL cholesterol, we undertook detailed profiling of circulating atherogenic lipoproteins in relation to incident cardiovascular disease in 2 populations. Methods and Results We performed proton nuclear magnetic resonance spectroscopy to quantify concentrations of LDL and VLDL (very low‐density lipoprotein) particle subclasses in 11 984 JUPITER trial participants (NCT00239681). Adjusted Cox models examined cardiovascular disease risk associated with lipoprotein measures according to treatment allocation. Risk (adjusted hazard ratio [95%CI] per SD increment) among placebo‐allocated participants was associated with total LDL particles (1.19 [1.02, 1.38]) and total VLDL particles (1.21 [1.04, 1.41]), as well as apolipoprotein B, non–high‐density lipoprotein cholesterol, and triglycerides, but not LDL‐c. Rosuvastatin reduced LDL measures but had variable effects on triglyceride and VLDL measures. On‐statin levels of the smallest VLDL particle subclass were associated with a 68% per‐SD (adjusted hazard ratio 1.68 [1.28, 2.22]) increase in residual risk—this risk was related to VLDL cholesterol and not triglyceride or larger VLDL particles. There was evidence that residual risk prediction during statin therapy could be significantly improved through the inclusion of key VLDL measures (Harrell C‐index 0.780 versus 0.712; P<0.0001). In an independent, prospective cohort of 4721 individuals referred for cardiac catheterization (CATHGEN), similar patterns of lipoprotein‐related risk were observed. Conclusions Atherogenic lipoprotein particle concentrations were associated with cardiovascular disease risk when LDL cholesterol was low. VLDL lipoproteins, particularly the smallest remnant subclass, may represent unused targets for risk prediction and potential therapeutic intervention for reducing residual risk. Clinical Trial Registration URL: http://www.clinicaltrials.gov. Unique identifier: NCT00239681.


Clinical Chemistry | 2017

Discordance between Circulating Atherogenic Cholesterol Mass and Lipoprotein Particle Concentration in Relation to Future Coronary Events in Women

Patrick R. Lawler; Akintunde O. Akinkuolie; Paul M. Ridker; Allan D. Sniderman; Julie E. Buring; Robert J. Glynn; Daniel I. Chasman; Samia Mora

BACKGROUND It is uncertain whether measurement of circulating total atherogenic lipoprotein particle cholesterol mass [non-HDL cholesterol (nonHDLc)] or particle concentration [apolipoprotein B (apo B) and LDL particle concentration (LDLp)] more accurately reflects risk of incident coronary heart disease (CHD). We evaluated CHD risk among women in whom these markers where discordant. METHODS Among 27533 initially healthy women in the Womens Health Study (NCT00000479), using residuals from linear regression models, we compared risk among women with higher or lower observed particle concentration relative to nonHDLc (highest and lowest residual quartiles, respectively) to individuals with agreement between markers (middle quartiles) using Cox proportional hazards models. RESULTS Although all 3 biomarkers were correlated (r ≥ 0.77), discordance occurred in up to 20.2% of women. Women with discordant high particle concentration were more likely to have metabolic syndrome (MetS) and diabetes (both P < 0.001). Over a median follow-up of 20.4 years, 1246 CHD events occurred (514725 person-years). Women with high particle concentration relative to nonHDLc had increased CHD risk: age-adjusted hazard ratio (95% CI) = 1.77 (1.56-2.00) for apo B and 1.70 (1.50-1.92) for LDLp. After adjustment for clinical risk factors including MetS, these risks attenuated to 1.22 (1.07-1.39) for apo B and 1.13 (0.99-1.29) for LDLp. Discordant low apo B or LDLp relative to nonHDLc was not associated with lower risk. CONCLUSIONS Discordance between atherogenic particle cholesterol mass and particle concentration occurs in a sizeable proportion of apparently healthy women and should be suspected clinically among women with cardiometabolic traits. In such women, direct measurement of lipoprotein particle concentration might better inform CHD risk assessment.


JAMA Cardiology | 2016

Association of Lipoproteins, Insulin Resistance, and Rosuvastatin With Incident Type 2 Diabetes Mellitus : Secondary Analysis of a Randomized Clinical Trial.

Sagar Dugani; Akintunde O. Akinkuolie; Nina P. Paynter; Robert J. Glynn; Paul M. Ridker; Samia Mora

IMPORTANCE Statins decrease levels of low-density lipoprotein (LDL) and triglycerides as well as cardiovascular events but increase the risk for a diagnosis of type 2 diabetes mellitus (T2DM). The risk factors associated with incident T2DM are incompletely characterized. OBJECTIVE To investigate the association of lipoprotein subclasses and size and a novel lipoprotein insulin resistance (LPIR) score (a composite of 6 lipoprotein measures) with incident T2DM among individuals randomized to a high-intensity statin or placebo. DESIGN, SETTING, AND PARTICIPANTS This secondary analysis of the JUPITER trial (a placebo-controlled randomized clinical trial) was conducted at 1315 sites in 26 countries and enrolled 17 802 men 50 years or older and women 60 years or older with LDL cholesterol levels less than 130 mg/dL, high-sensitivity C-reactive protein levels of at least 2 mg/L, and triglyceride levels less than 500 mg/dL. Those with T2DM were excluded. A prespecified secondary aim was to assess the effect of rosuvastatin calcium on T2DM. Incident T2DM was monitored for a median of 2.0 years. Data were collected from February 4, 2003, to August 20, 2008, and analyzed (intention-to-treat) from December 1, 2013, to January 21, 2016. INTERVENTIONS Rosuvastatin calcium, 20 mg/d, or placebo. MAIN OUTCOMES AND MEASURES Size and concentration of lipids, apolipoproteins, and lipoproteins at baseline (11 918 patients with evaluable plasma samples) and 12 months after randomization (9180 patients). The LPIR score, a correlate of insulin resistance, was calculated as a weighted combination of size and concentrations of LDL, very low-density lipoprotein (VLDL), and high-density lipoprotein (HDL) particles. RESULTS Among the 11 918 patients (4334 women [36.4%]; median [interquartile range] age, 66 [60-71] years), rosuvastatin lowered the levels of LDL particles (-39.6%; 95% CI, -49.4% to -24.6%), VLDL particles (-19.6%; 95% CI, -40.6% to 10.3%), and VLDL triglycerides (-15.2%; 95% CI, -35.9% to 11.3%) and shifted the lipoprotein subclass distribution toward smaller LDL size (-1.5%; 95% CI, -3.7% to 0.5%), larger VLDL size (2.8%; 95% CI, -5.8% to 12.7%), and lower LPIR score (-3.2%; 95% CI, -20.6% to 16.9%). In analyses adjusted for age, sex, race or ethnic origin, exercise, educational level, family history, and smoking, the hazard ratio (HR) for T2DM per SD of LPIR score in the placebo arm was 1.99 (95% CI, 1.64-2.42); in the rosuvastatin arm, 2.06 (95% CI, 1.74-2.43). After additional adjustment for systolic blood pressure, body mass index, high-sensitivity C-reactive protein, hemoglobin A1c, HDL cholesterol, LDL cholesterol, and triglycerides, the LPIR score remained associated with T2DM in the placebo arm (HR, 1.35; 95% CI, 1.03-1.76) and rosuvastatin arm (HR, 1.60; 95% CI, 1.27-2.03). Similar trends were seen at 12 months. The LPIR score improved the model likelihood ratio (χ2 = 18.23; P < .001) and categorical net reclassification index (0.039; 95% CI, 0.003-0.072). CONCLUSIONS AND RELEVANCE In apparently healthy people, LPIR score was positively associated with incident T2DM, including during rosuvastatin therapy. TRIAL REGISTRATION clinicaltrials.gov Identifier: NCT00239681.


Journal of the American Heart Association | 2016

Circulating N‐Linked Glycoprotein Side‐Chain Biomarker, Rosuvastatin Therapy, and Incident Cardiovascular Disease: An Analysis From the JUPITER Trial

Akintunde O. Akinkuolie; Robert J. Glynn; Latha Padmanabhan; Paul M. Ridker; Samia Mora

Background GlycA, a novel protein glycan biomarker of N‐acetyl side chains of acute‐phase proteins, was recently associated with incident cardiovascular disease (CVD) in healthy women. Whether GlycA predicts CVD events in the setting of statin therapy in men and women without CVD but with evidence of chronic inflammation is unknown. Methods and Results In the Justfication for the Use of Statins in Prevention: an Intervention Trial Evaluating Rosuvastatin (JUPITER) trial (NCT00239681), participants with low‐density lipoprotein cholesterol <130 mg/dL and high‐sensitivity C‐reactive protein (hsCRP) ≥2 mg/L were randomized to rosuvastatin 20 mg/day or placebo. GlycA was quantified by nuclear magnetic resonance spectroscopy in 12 527 before randomization and 10 039 participants at 1 year. A total of 310 first primary CVD events occurred during maximum follow‐up of 5.0 years (median, 1.9). GlycA changed minimally after 1 year on study treatment: 6.8% and 4.7% decrease in the rosuvastatin and placebo groups, respectively. Overall, baseline GlycA levels were associated with increased risk of CVD: multivariable‐adjusted hazard ratio (HR) per SD increment, 1.20 (95% CI, 1.08–1.34; P=0.0006). After additionally adjusting for hsCRP, this was slightly attenuated (HR, 1.18; 95% CI, 1.04–1.35; P=0.01). On‐treatment GlycA levels were also associated with CVD; corresponding multivariable‐adjusted HRs per SD before and after additionally adjusting for hsCRP: 1.27 (95% CI, 1.13–1.42; P<0.0001) and 1.24 (95% CI, 1.07–1.44; P=0.004), respectively. Tests for heterogeneity by treatment arm were not significant (P for interaction, >0.20). Conclusion In the JUPITER trial, increased levels of GlycA were associated with an increased risk of CVD events independent of traditional risk factors and hsCRP. Clinical Trials Registration URL: http://www.clinicaltrials.gov. Unique identifier: NCT00239681.

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Samia Mora

Brigham and Women's Hospital

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Paul M. Ridker

Brigham and Women's Hospital

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Robert J. Glynn

Brigham and Women's Hospital

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Julie E. Buring

Brigham and Women's Hospital

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Patrick R. Lawler

Brigham and Women's Hospital

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Aruna D. Pradhan

Brigham and Women's Hospital

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Lu Wang

University of Michigan

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Luc Djoussé

Brigham and Women's Hospital

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Daniel I. Chasman

Brigham and Women's Hospital

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I-Min Lee

Brigham and Women's Hospital

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