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Featured researches published by Jingzhong Ding.


Nature Genetics | 2012

Meta-analysis identifies six new susceptibility loci for atrial fibrillation

Patrick T. Ellinor; Kathryn L. Lunetta; Christine M. Albert; Nicole L. Glazer; Marylyn D. Ritchie; Albert V. Smith; Dan E. Arking; Martina Müller-Nurasyid; Bouwe P. Krijthe; Steven A. Lubitz; Joshua C. Bis; Mina K. Chung; Marcus Dörr; Kouichi Ozaki; Jason D. Roberts; J. Gustav Smith; Arne Pfeufer; Moritz F. Sinner; Kurt Lohman; Jingzhong Ding; Nicholas L. Smith; Jonathan D. Smith; Michiel Rienstra; Kenneth Rice; David R. Van Wagoner; Jared W. Magnani; Reza Wakili; Sebastian Clauss; Jerome I. Rotter; Gerhard Steinbeck

Atrial fibrillation is a highly prevalent arrhythmia and a major risk factor for stroke, heart failure and death. We conducted a genome-wide association study (GWAS) in individuals of European ancestry, including 6,707 with and 52,426 without atrial fibrillation. Six new atrial fibrillation susceptibility loci were identified and replicated in an additional sample of individuals of European ancestry, including 5,381 subjects with and 10,030 subjects without atrial fibrillation (P < 5 × 10−8). Four of the loci identified in Europeans were further replicated in silico in a GWAS of Japanese individuals, including 843 individuals with and 3,350 individuals without atrial fibrillation. The identified loci implicate candidate genes that encode transcription factors related to cardiopulmonary development, cardiac-expressed ion channels and cell signaling molecules.


The American Journal of Clinical Nutrition | 2009

The association of pericardial fat with incident coronary heart disease: the Multi-Ethnic Study of Atherosclerosis (MESA)

Jingzhong Ding; Fang-Chi Hsu; Tamara B. Harris; Yongmei Liu; Stephen B. Kritchevsky; Moyses Szklo; Pamela Ouyang; Mark A. Espeland; Kurt Lohman; Michael H. Criqui; Matthew A. Allison; David A. Bluemke; J. Jeffrey Carr

BACKGROUND Pericardial fat (ie, fat around the heart) may have a direct role in the atherosclerotic process in coronary arteries through local release of inflammation-related cytokines. Cross-sectional studies suggest that pericardial fat is positively associated with coronary artery disease independent of total body fat. OBJECTIVE We investigated whether pericardial fat predicts future coronary heart disease events. DESIGN We conducted a case-cohort study in 998 individuals, who were randomly selected from 6814 Multi-Ethnic Study of Atherosclerosis (MESA) participants and 147 MESA participants (26 from those 998 individuals) who developed incident coronary heart disease from 2000 to 2005. The volume of pericardial fat was determined from cardiac computed tomography at baseline. RESULTS The age range of the subjects was 45-84 y (42% men, 45% white, 10% Asian American, 22% African American, and 23% Hispanic). Pericardial fat was positively correlated with both body mass index (correlation coefficient = 0.45, P < 0.0001) and waist circumference (correlation coefficient = 0.57, P < 0.0001). In unadjusted analyses, pericardial fat (relative hazard per 1-SD increment: 1.33; 95% CI: 1.15, 1.54), but not body mass index (1.00; 0.84, 1.18), was associated with the risk of coronary heart disease. Waist circumference (1.14; 0.97, 1.34; P = 0.1) was marginally associated with the risk of coronary heart disease. The relation between pericardial fat and coronary heart disease remained significant after further adjustment for body mass index and other cardiovascular disease risk factors (1.26; 1.01, 1.59). The relation did not differ by sex. CONCLUSION Pericardial fat predicts incident coronary heart disease independent of conventional risk factors, including body mass index.


Lancet Neurology | 2011

Effects of intensive glucose lowering on brain structure and function in people with type 2 diabetes (ACCORD MIND): a randomised open-label substudy

Lenore J. Launer; Michael I. Miller; Jeff D. Williamson; Hertzel C. Gerstein; Anne M. Murray; Mark D. Sullivan; Karen R. Horowitz; Jingzhong Ding; Santica M. Marcovina; Laura Lovato; James Lovato; Karen L. Margolis; Patrick J. O'Connor; Edward W. Lipkin; Joy Hirsch; Laura H. Coker; Joseph A. Maldjian; Jeffrey L. Sunshine; Charles L. Truwit; Christos Davatzikos; R. Nick Bryan

Background Persons with type 2 diabetes (T2D) are at risk for cognitive impairment and brain atrophy. The ACCORD Memory in Diabetes (MIND) Study investigated whether persons randomized to an intensive glycaemic therapeutic strategy targeting HbA1c to <6% had better cognitive function and a larger brain volume at 40 months than persons randomized to a standard strategy targeting HbA1c to 7%–7.9%.BACKGROUND People with type 2 diabetes are at risk of cognitive impairment and brain atrophy. We aimed to compare the effects on cognitive function and brain volume of intensive versus standard glycaemic control. METHODS The Memory in Diabetes (MIND) study was done in 52 clinical sites in North America as part of Action to Control Cardiovascular Risk in Diabetes (ACCORD), a double two-by-two factorial parallel group randomised trial. Participants (aged 55-80 years) with type 2 diabetes, high glycated haemoglobin A(1c) (HbA(1c)) concentrations (>7·5%; >58 mmol/mol), and a high risk of cardiovascular events were randomly assigned to receive intensive glycaemic control targeting HbA(1c) to less than 6·0% (42 mmol/mol) or a standard strategy targeting HbA(1c) to 7·0-7·9% (53-63 mmol/mol). Randomisation was via a centralised web-based system and treatment allocation was not masked from clinic staff or participants. We assessed our cognitive primary outcome, the Digit Symbol Substitution Test (DSST) score, at baseline and at 20 and 40 months. We assessed total brain volume (TBV), our primary brain structure outcome, with MRI at baseline and 40 months in a subset of participants. We included all participants with follow-up data in our primary analyses. In February, 2008, raised mortality risk led to the end of the intensive treatment and transition of those participants to standard treatment. We tested our cognitive function hypotheses with a mixed-effects model that incorporated information from both the 20 and 40 month outcome measures. We tested our MRI hypotheses with an ANCOVA model that included intracranial volume and factors used to stratify randomisation. This study is registered with ClinicalTrials.gov, number NCT00182910. FINDINGS We consecutively enrolled 2977 patients (mean age 62·5 years; SD 5·8) who had been randomly assigned to treatment groups in the ACCORD study. Our primary cognitive analysis was of patients with a 20-month or 40-month DSST score: 1378 assigned to receive intensive treatment and 1416 assigned to receive standard treatment. Of the 614 patients with a baseline MRI, we included 230 assigned to receive intensive treatment and 273 assigned to receive standard treatment in our primary MRI analysis at 40 months. There was no significant treatment difference in mean 40-month DSST score (difference in mean 0·32, 95% CI -0·28 to 0·91; p=0·2997). The intensive-treatment group had a greater mean TBV than the standard-treatment group (4·62, 2·0 to 7·3; p=0·0007). INTERPRETATION Although significant differences in TBV favoured the intensive treatment, cognitive outcomes were not different. Combined with the non-significant effects on other ACCORD outcomes, and increased mortality in participants in the intensive treatment group, our findings do not support the use of intensive therapy to reduce the adverse effects of diabetes on the brain in patients with similar characteristics to those of our participants. FUNDING US National Institute on Aging and US National Heart, Lung, and Blood Institute.


JAMA | 2011

Association of plasma β-amyloid level and cognitive reserve with subsequent cognitive decline

Kristine Yaffe; Andrea Weston; Neill R. Graff-Radford; Suzanne Satterfield; Eleanor M. Simonsick; Steven G. Younkin; Linda Younkin; Lewis H. Kuller; Hilsa N. Ayonayon; Jingzhong Ding; Tamara B. Harris

CONTEXT Lower plasma β-amyloid 42 and 42/40 levels have been associated with incident dementia, but results are conflicting and few have investigated cognitive decline among elders without dementia. OBJECTIVE To determine if plasma β-amyloid is associated with cognitive decline and if this association is modified by measures of cognitive reserve. DESIGN, SETTING, AND PARTICIPANTS We studied 997 black and white community-dwelling older adults from Memphis, Tennessee, and Pittsburgh, Pennsylvania, who were enrolled in the Health ABC Study, a prospective observational study begun in 1997-1998 with 10-year follow-up in 2006-2007. Participant mean age was 74.0 (SD, 3.0) years; 55.2% (n = 550) were female; and 54.0% (n = 538) were black. MAIN OUTCOME MEASURES Association of near-baseline plasma β-amyloid levels (42 and 42/40 measured in 2010) and repeatedly measured Modified Mini-Mental State Examination (3MS) results. RESULTS Low β-amyloid 42/40 level was associated with greater 9-year 3MS cognitive decline (lowest β-amyloid tertile: mean change in 3MS score, -6.59 [95% confidence interval [CI], -5.21 to -7.67] points; middle tertile: -6.16 [95% CI, -4.92 to -7.32] points; and highest tertile: -3.60 [95% CI, -2.27 to -4.73] points; P < .001). Results were similar after multivariate adjustment for age, race, education, diabetes, smoking, and apolipoprotein E [APOE ] e4 status and after excluding the 72 participants with incident dementia. Measures of cognitive reserve modified this association whereby among those with high reserve (at least a high school diploma, higher than sixth-grade literacy, or no APOE e4 allele), β-amyloid 42/40 was less associated with multivariate adjusted 9-year decline. For example, among participants with less than a high school diploma, the 3MS score decline was -8.94 (95% CI, -6.94 to -10.94) for the lowest tertile compared with -4.45 (95% CI, -2.31 to -6.59) for the highest tertile, but for those with at least a high school diploma, 3MS score decline was -4.60 (95% CI,-3.07 to -6.13) for the lowest tertile and -2.88 (95% CI,-1.41 to -4.35) for the highest tertile (P = .004 for interaction). Interactions were also observed for literacy (P = .005) and for APOE e4 allele (P = .02). CONCLUSION Lower plasma β-amyloid 42/40 is associated with greater cognitive decline among elderly persons without dementia over 9 years, and this association is stronger among those with low measures of cognitive reserve.


Journal of the American Geriatrics Society | 2006

Chronic Kidney Disease and Functional Limitation in Older People: Health, Aging and Body Composition Study

Linda F. Fried; Jung Sun Lee; Michael G. Shlipak; Glenn M. Chertow; Christie A. Green; Jingzhong Ding; Tamara B. Harris; Anne B. Newman

OBJECTIVES: To assess whether chronic kidney disease (CKD) is independently associated with incident physical‐function limitation.


Obesity | 2008

The association of pericardial fat with calcified coronary plaque

Jingzhong Ding; Stephen B. Kritchevsky; Tamara B. Harris; Gregory L. Burke; Robert Detrano; Moyses Szklo; J. Jeffrey Carr

Background: Pericardial fat has a higher secretion of inflammatory cytokines than subcutaneous fat. Cytokines released from pericardial fat around coronary arteries may act locally on the adjacent cells.


Journals of Gerontology Series A-biological Sciences and Medical Sciences | 2011

Does the Amount of Fat Mass Predict Age-Related Loss of Lean Mass, Muscle Strength, and Muscle Quality in Older Adults?

Annemarie Koster; Jingzhong Ding; Sari Stenholm; Paolo Caserotti; Denise K. Houston; Barbara J. Nicklas; Tongjian You; Jung Sun Lee; Marjolein Visser; Anne B. Newman; Ann V. Schwartz; Jane A. Cauley; Frances A. Tylavsky; Bret H. Goodpaster; Stephen B. Kritchevsky; Tamara B. Harris

BACKGROUND An excessive amount of adipose tissue may contribute to sarcopenia and may be one mechanism underlying accelerated loss of muscle mass and strength with aging. We therefore examined the association of baseline total body fat with changes in leg lean mass, muscle strength, and muscle quality over 7 years of follow-up and whether this link was explained by adipocytokines and insulin resistance. METHODS Data were from 2,307 men and women, aged 70-79 years, participating in the Health, Aging, and Body Composition study. Total fat mass was acquired from dual energy X-ray absorptiometry. Leg lean mass was assessed by dual energy X-ray absorptiometry in Years 1, 2, 3, 4, 5, 6, and 8. Knee extension strength was measured by isokinetic dynamometer in Years 1, 2, 4, 6, and 8. Muscle quality was calculated as muscle strength divided by leg lean mass. RESULTS Every SD greater fat mass was related to 1.3 kg more leg lean mass at baseline in men and 1.5 kg in women (p < .01). Greater fat mass was also associated with a greater decline in leg lean mass in both men and women (0.02 kg/year, p < .01), which was not explained by higher levels of adipocytokines and insulin resistance. Larger fat mass was related to significantly greater muscle strength but significantly lower muscle quality at baseline (p < .01). No significant differences in decline of muscle strength and quality were found. CONCLUSIONS High fatness was associated with lower muscle quality, and it predicts accelerated loss of lean mass. Prevention of greater fatness in old age may decrease the loss of lean mass and maintain muscle quality and thereby reducing disability and mobility impairments.


Diabetes Care | 2006

Diabetes, Hyperglycemia, and Inflammation in Older Individuals The Health, Aging and Body Composition study

Nathalie de Rekeneire; Rita Peila; Jingzhong Ding; Lisa H. Colbert; Marjolein Visser; Ronald I. Shorr; Stephen B. Kritchevsky; Lewis H. Kuller; Elsa S. Strotmeyer; Ann V. Schwartz; Bruno Vellas; Tamara B. Harris

OBJECTIVE—The objective of this study was to assess the association of inflammation with hyperglycemia (impaired fasting glucose [IFG]/impaired glucose tolerance [IGT]) and diabetes in older individuals. RESEARCH DESIGN AND METHODS—Baseline data from the Health, Aging and Body Composition study included 3,075 well-functioning black and white participants, aged 70–79 years. RESULTS—Of the participants, 24% had diabetes and 29% had IFG/IGT at baseline. C-reactive protein (CRP), interleukin-6 (IL-6), and tumor necrosis factor-α (TNF-α) levels (P < 0.001) were significantly higher among diabetic participants and those with IFG/IGT. Odds of elevated IL-6 and TNF-α (>75th percentile) were, respectively, 1.95 (95% CI 1.56–2.44) and 1.88 (1.51–2.35) for diabetic participants and 1.51 (1.21–1.87) and 1.14 (0.92–1.42) for those with IFG/IGT after adjustment for age, sex, race, smoking, alcohol intake, education, and study site. Odds ratios for elevated CRP were 2.90 (2.13–3.95) and 1.45 (1.03–2.04) for diabetic women and men and 1.33 (1.07–1.69) for those with IFG/IGT regardless of sex. After adjustment for obesity, fat distribution, and inflammation-related conditions, IL-6 remained significantly related to both diabetes and IFG/IGT. CRP in women and TNF-α in both sexes were significantly related to diabetes, respectively, whereas risk estimates for IFG/IGT were decreased by adjustment for adiposity. Among diabetic participants, higher levels of HbA1c were associated with higher levels of all three markers of inflammation, but only CRP remained significant after full adjustment. CONCLUSIONS—Our findings show that dysglycemia is associated with inflammation, and this relationship, although consistent in diabetic individuals, also extends to those with IFG/IGT.


Biological Psychiatry | 2013

A Genome-Wide Association Study of Depressive Symptoms

Karin Hek; Ayse Demirkan; Jari Lahti; Antonio Terracciano; Alexander Teumer; Marilyn C. Cornelis; Najaf Amin; Erin Bakshis; Jens Baumert; Jingzhong Ding; Yongmei Liu; Kristin D. Marciante; Osorio Meirelles; Michael A. Nalls; Yan V. Sun; Nicole Vogelzangs; Lei Yu; Stefania Bandinelli; Emelia J. Benjamin; David A. Bennett; Dorret I. Boomsma; Alessandra Cannas; Laura H. Coker; Eco J. C. de Geus; Philip L. De Jager; Ana V. Diez-Roux; Shaun Purcell; Frank B. Hu; Eric B. Rimm; David J. Hunter

BACKGROUND Depression is a heritable trait that exists on a continuum of varying severity and duration. Yet, the search for genetic variants associated with depression has had few successes. We exploit the entire continuum of depression to find common variants for depressive symptoms. METHODS In this genome-wide association study, we combined the results of 17 population-based studies assessing depressive symptoms with the Center for Epidemiological Studies Depression Scale. Replication of the independent top hits (p<1×10(-5)) was performed in five studies assessing depressive symptoms with other instruments. In addition, we performed a combined meta-analysis of all 22 discovery and replication studies. RESULTS The discovery sample comprised 34,549 individuals (mean age of 66.5) and no loci reached genome-wide significance (lowest p = 1.05×10(-7)). Seven independent single nucleotide polymorphisms were considered for replication. In the replication set (n = 16,709), we found suggestive association of one single nucleotide polymorphism with depressive symptoms (rs161645, 5q21, p = 9.19×10(-3)). This 5q21 region reached genome-wide significance (p = 4.78×10(-8)) in the overall meta-analysis combining discovery and replication studies (n = 51,258). CONCLUSIONS The results suggest that only a large sample comprising more than 50,000 subjects may be sufficiently powered to detect genes for depressive symptoms.


PLOS Genetics | 2013

Genome-Wide Association of Body Fat Distribution in African Ancestry Populations Suggests New Loci

Ching-Ti Liu; Keri L. Monda; Kira C. Taylor; Leslie A. Lange; Ellen W. Demerath; Walter Palmas; Mary K. Wojczynski; Jaclyn C. Ellis; Mara Z. Vitolins; Simin Liu; George J. Papanicolaou; Marguerite R. Irvin; Luting Xue; Paula J. Griffin; Michael A. Nalls; Adebowale Adeyemo; Jiankang Liu; Guo Li; Edward A. Ruiz-Narváez; Wei-Min Chen; Fang Chen; Brian E. Henderson; Robert C. Millikan; Christine B. Ambrosone; Sara S. Strom; Xiuqing Guo; Jeanette S. Andrews; Yan V. Sun; Thomas H. Mosley; Lisa R. Yanek

Central obesity, measured by waist circumference (WC) or waist-hip ratio (WHR), is a marker of body fat distribution. Although obesity disproportionately affects minority populations, few studies have conducted genome-wide association study (GWAS) of fat distribution among those of predominantly African ancestry (AA). We performed GWAS of WC and WHR, adjusted and unadjusted for BMI, in up to 33,591 and 27,350 AA individuals, respectively. We identified loci associated with fat distribution in AA individuals using meta-analyses of GWA results for WC and WHR (stage 1). Overall, 25 SNPs with single genomic control (GC)-corrected p-values<5.0×10−6 were followed-up (stage 2) in AA with WC and with WHR. Additionally, we interrogated genomic regions of previously identified European ancestry (EA) WHR loci among AA. In joint analysis of association results including both Stage 1 and 2 cohorts, 2 SNPs demonstrated association, rs2075064 at LHX2, p = 2.24×10−8 for WC-adjusted-for-BMI, and rs6931262 at RREB1, p = 2.48×10−8 for WHR-adjusted-for-BMI. However, neither signal was genome-wide significant after double GC-correction (LHX2: p = 6.5×10−8; RREB1: p = 5.7×10−8). Six of fourteen previously reported loci for waist in EA populations were significant (p<0.05 divided by the number of independent SNPs within the region) in AA studied here (TBX15-WARS2, GRB14, ADAMTS9, LY86, RSPO3, ITPR2-SSPN). Further, we observed associations with metabolic traits: rs13389219 at GRB14 associated with HDL-cholesterol, triglycerides, and fasting insulin, and rs13060013 at ADAMTS9 with HDL-cholesterol and fasting insulin. Finally, we observed nominal evidence for sexual dimorphism, with stronger results in AA women at the GRB14 locus (p for interaction = 0.02). In conclusion, we identified two suggestive loci associated with fat distribution in AA populations in addition to confirming 6 loci previously identified in populations of EA. These findings reinforce the concept that there are fat distribution loci that are independent of generalized adiposity.

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Tamara B. Harris

National Institutes of Health

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Yongmei Liu

Wake Forest University

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Kurt Lohman

Wake Forest University

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Anne B. Newman

University of Pittsburgh

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Moyses Szklo

Johns Hopkins University

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