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Search for author "Tuo Zhang"

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  • You have accessRestricted access
    Temporal Relationship Between Childhood Body Mass Index and Insulin and Its Impact on Adult HypertensionNovelty and SignificanceThe Bogalusa Heart Study
    Tao Zhang, Huijie Zhang, Ying Li, Dianjianyi Sun, Shengxu Li, Camilo Fernandez, Lu Qi, Emily Harville, Lydia Bazzano, Jiang He, Fuzhong Xue and Wei Chen
    Hypertension. 2016;68:818-823, originally published July 18, 2016
    https://doi.org/10.1161/HYPERTENSIONAHA.116.07991
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    Temporal Relationship Between Childhood Body Mass Index and Insulin and Its Impact on Adult HypertensionNovelty and Significance
    Tao Zhang, Huijie Zhang, Ying Li, Dianjianyi Sun, Shengxu Li, Camilo Fernandez, Lu Qi, Emily Harville, Lydia Bazzano, Jiang He, Fuzhong Xue, Wei Chen
    Hypertension September 2016, 68 (3) 818-823; DOI: https://doi.org/10.1161/HYPERTENSIONAHA.116.07991
    Figure 1.
    Figure 1.
    By Tao Zhang, Huijie Zhang, Ying Li, Dianjianyi Sun, Shengxu Li, Camilo Fernandez, Lu Qi, Emily Harville, Lydia Bazzano, Jiang He, Fuzhong Xue and Wei Chen
    Cross-lagged path analysis of childhood body mass index (BMI) and insulin (n=990), adjusted for age, race, s...
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    Cross-lagged path analysis of childhood body mass index (BMI) and insulin (n=990), adjusted for age, race, sex, and follow-up years. β1 and β2 are cross-lagged path coefficients; r1 is synchronous correlations; r2 and r3 are tracking correlations; R2 is variance explained. Goodness-of-fit: root mean square residual=0.063 and comparative fit index=0.93. Coefficients different from 0: *P<0.01, †P<0.001 for difference between β1 and β2.
    Show Less
  • You have access
    Temporal Relationship Between Childhood Body Mass Index and Insulin and Its Impact on Adult HypertensionNovelty and Significance
    Tao Zhang, Huijie Zhang, Ying Li, Dianjianyi Sun, Shengxu Li, Camilo Fernandez, Lu Qi, Emily Harville, Lydia Bazzano, Jiang He, Fuzhong Xue, Wei Chen
    Hypertension September 2016, 68 (3) 818-823; DOI: https://doi.org/10.1161/HYPERTENSIONAHA.116.07991
    View table
    Table 1.
    By Tao Zhang, Huijie Zhang, Ying Li, Dianjianyi Sun, Shengxu Li, Camilo Fernandez, Lu Qi, Emily Harville, Lydia Bazzano, Jiang He, Fuzhong Xue and Wei Chen
    Descriptive Data of Study Variables in Baseline and Follow-Up Childhood, Adulthood by Race and SexShow More
    Descriptive Data of Study Variables in Baseline and Follow-Up Childhood, Adulthood by Race and SexShow Less
  • You have access
    Temporal Relationship Between Childhood Body Mass Index and Insulin and Its Impact on Adult HypertensionNovelty and Significance
    Tao Zhang, Huijie Zhang, Ying Li, Dianjianyi Sun, Shengxu Li, Camilo Fernandez, Lu Qi, Emily Harville, Lydia Bazzano, Jiang He, Fuzhong Xue, Wei Chen
    Hypertension September 2016, 68 (3) 818-823; DOI: https://doi.org/10.1161/HYPERTENSIONAHA.116.07991
    View table
    Table 2.
    By Tao Zhang, Huijie Zhang, Ying Li, Dianjianyi Sun, Shengxu Li, Camilo Fernandez, Lu Qi, Emily Harville, Lydia Bazzano, Jiang He, Fuzhong Xue and Wei Chen
    Pearson Correlation Coefficients Between BMI and Insulin in ChildhoodShow More
    Pearson Correlation Coefficients Between BMI and Insulin in ChildhoodShow Less
  • You have access
    Temporal Relationship Between Childhood Body Mass Index and Insulin and Its Impact on Adult HypertensionNovelty and Significance
    Tao Zhang, Huijie Zhang, Ying Li, Dianjianyi Sun, Shengxu Li, Camilo Fernandez, Lu Qi, Emily Harville, Lydia Bazzano, Jiang He, Fuzhong Xue, Wei Chen
    Hypertension September 2016, 68 (3) 818-823; DOI: https://doi.org/10.1161/HYPERTENSIONAHA.116.07991
    Figure 2.
    Figure 2.
    By Tao Zhang, Huijie Zhang, Ying Li, Dianjianyi Sun, Shengxu Li, Camilo Fernandez, Lu Qi, Emily Harville, Lydia Bazzano, Jiang He, Fuzhong Xue and Wei Chen
    Cross-lagged analysis models of childhood body mass index (BMI) and insulin in normotensive and hypertensive...
    Show More
    Cross-lagged analysis models of childhood body mass index (BMI) and insulin in normotensive and hypertensive groups, adjusted for age, race, sex, and follow-up years. β1 and β2 are cross-lagged path coefficients; r1 is synchronous correlations; r2 and r3 are tracking correlations; R2 is variance explained. Goodness-of-fit: root mean square residual (RMR)=0.047 and comparative fit index (CFI)=0.94 for hypertensives; RMR=0.069 and CFI=0.93 for normotensives; Coefficients different from 0: *P<0.01, †P<0.001 for difference in β2s between hypertensive and normotensive groups.
    Show Less
  • You have access
    Temporal Relationship Between Childhood Body Mass Index and Insulin and Its Impact on Adult HypertensionNovelty and Significance
    Tao Zhang, Huijie Zhang, Ying Li, Dianjianyi Sun, Shengxu Li, Camilo Fernandez, Lu Qi, Emily Harville, Lydia Bazzano, Jiang He, Fuzhong Xue, Wei Chen
    Hypertension September 2016, 68 (3) 818-823; DOI: https://doi.org/10.1161/HYPERTENSIONAHA.116.07991
    Figure 3.
    Figure 3.
    By Tao Zhang, Huijie Zhang, Ying Li, Dianjianyi Sun, Shengxu Li, Camilo Fernandez, Lu Qi, Emily Harville, Lydia Bazzano, Jiang He, Fuzhong Xue and Wei Chen
    Mediation effect of childhood insulin on the childhood body mass index (BMI)–adult hypertension association....
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    Mediation effect of childhood insulin on the childhood body mass index (BMI)–adult hypertension association. Coefficients different from 0: * P<0.01.
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  • Circulating MicroRNA‐188, ‐30a, and ‐30e as Early Biomarkers for Contrast‐Induced Acute Kidney Injury
    Shi‐qun Sun, Tuo Zhang, Ding Ding, Wei‐feng Zhang, Xiao‐lei Wang, Zhe Sun, Liu‐hua Hu, Sheng‐ying Qin, Ling‐hong Shen, Ben He
    Journal of the American Heart Association. 2016;5:e004138, originally published August 15, 2016
    https://doi.org/10.1161/JAHA.116.004138
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  • Open Access
    Circulating MicroRNA‐188, ‐30a, and ‐30e as Early Biomarkers for Contrast‐Induced Acute Kidney Injury
    Shi‐qun Sun, Tuo Zhang, Ding Ding, Wei‐feng Zhang, Xiao‐lei Wang, Zhe Sun, Liu‐hua Hu, Sheng‐ying Qin, Ling‐hong Shen, Ben He
    Journal of the American Heart Association August 2016, 5 (8) e004138; DOI: https://doi.org/10.1161/JAHA.116.004138
    Figure 1.
    Figure 1.
    By Shi‐qun Sun, Tuo Zhang, Ding Ding, Wei‐feng Zhang, Xiao‐lei Wang, Zhe Sun, Liu‐hua Hu, Sheng‐ying Qin, Ling‐hong Shen and Ben He
    Selection of candidate circulating miRNAs as early biomarkers for CI‐AKI in rats. A, Global miRNA expression profiles of kidney and plasma in CI‐AKI a...Show More
    Selection of candidate circulating miRNAs as early biomarkers for CI‐AKI in rats. A, Global miRNA expression profiles of kidney and plasma in CI‐AKI and control rats by miRNA microarrays. Principal component analysis (PCA) revealed that the hybridization results of 2 plasma samples (1 from the CI‐AKI group and 1 from the control group) were significantly different from the other plasma samples. These 2 components explained 81.19% of the variability. B, Hierarchical clustering analysis of dysregulated miRNAs (with a fold change >1.5) in plasma and kidney samples. The relative miRNA expression is depicted according to the color scale shown on the right. Red indicates upregulation and blue, downregulation. C, Diagram of the strategy for identifying candidate miRNAs. See Results for details. CI‐AKI indicates contrast‐induced acute kidney injury; CM, contrast medium; miRNA, microRNA; NS, normal saline; PCA, principal component analysis.Show Less
  • Open Access
    Circulating MicroRNA‐188, ‐30a, and ‐30e as Early Biomarkers for Contrast‐Induced Acute Kidney Injury
    Shi‐qun Sun, Tuo Zhang, Ding Ding, Wei‐feng Zhang, Xiao‐lei Wang, Zhe Sun, Liu‐hua Hu, Sheng‐ying Qin, Ling‐hong Shen, Ben He
    Journal of the American Heart Association August 2016, 5 (8) e004138; DOI: https://doi.org/10.1161/JAHA.116.004138
    View table
    Table 1.
    By Shi‐qun Sun, Tuo Zhang, Ding Ding, Wei‐feng Zhang, Xiao‐lei Wang, Zhe Sun, Liu‐hua Hu, Sheng‐ying Qin, Ling‐hong Shen and Ben He
    List of Dysregulated miRNAs in the CI‐AKI Rats (Fold Change CI‐AKI/Contr...
    Show More
    List of Dysregulated miRNAs in the CI‐AKI Rats (Fold Change CI‐AKI/Control Array Hyb Intensity >1.50)
    Show Less
  • Open Access
    Circulating MicroRNA‐188, ‐30a, and ‐30e as Early Biomarkers for Contrast‐Induced Acute Kidney Injury
    Shi‐qun Sun, Tuo Zhang, Ding Ding, Wei‐feng Zhang, Xiao‐lei Wang, Zhe Sun, Liu‐hua Hu, Sheng‐ying Qin, Ling‐hong Shen, Ben He
    Journal of the American Heart Association August 2016, 5 (8) e004138; DOI: https://doi.org/10.1161/JAHA.116.004138
    Figure 2.
    Figure 2.
    By Shi‐qun Sun, Tuo Zhang, Ding Ding, Wei‐feng Zhang, Xiao‐lei Wang, Zhe Sun, Liu‐hua Hu, Sheng‐ying Qin, Ling‐hong Shen and Ben He
    Validation of candidate circulating miRNAs in rats. A, Tissue expression patterns of miRNAs in rats. The lev...
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    Validation of candidate circulating miRNAs in rats. A, Tissue expression patterns of miRNAs in rats. The levels of candidate miRNAs in various tissues from rats by reverse transcription quantitative real‐time PCR (RT‐qPCR). B, Validating data of miRNA microarray by RT‐qPCR method. C, Time course of the plasma levels of candidate miRNAs from CI‐AKI rats. The plasma was collected from the rats at different time points (n=4 for each time point). Levels of miRNAs at each time point were expressed as fold increase relative to the baseline. D, The plasma was collected from control rats (without pretreatment and CM exposure), CM‐only group (CM exposure without pretreatment), dehydration‐only group (dehydration pretreatment without CM exposure), and CI‐AKI group at 4 hours after CM exposure or equal time point (n=4, each group). The relative change of miRNA levels is expressed as fold increase compared with the control.*P<0.05, **P<0.01, and ***P<0.001. CI‐AKI indicates contrast‐induced acute kidney injury; CM, contrast medium; miRNA, microRNA; RT‐qPCR, reverse transcription quantitative real‐time polymerase chain reaction.
    Show Less

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  • Volume 113, Issue 4 Supplement; August 2, 2013 / Abstracts From the American Heart Association’s Basic Cardiovascular Sciences 2013 Scientific Sessions 1
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