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Genome-wide Profiling of Urinary Extracellular Vesicle microRNAs Associated With Diabetic Nephropathy in Type 1 Diabetes.

Kidney international reports

Ghai V, Wu X, Bheda-Malge A, Argyropoulos CP, Bernardo JF, Orchard T, Galas D, Wang K.
PMID: 29854963
Kidney Int Rep. 2017 Dec 01;3(3):555-572. doi: 10.1016/j.ekir.2017.11.019. eCollection 2018 May.

INTRODUCTION: Diabetic nephropathy (DN) is a form of progressive kidney disease that often leads to end-stage renal disease (ESRD). It is initiated by microvascular complications due to diabetes. Although microalbuminuria (MA) is the earliest clinical indication of DN among...

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Ghai V, Wu X, Bheda-Malge A, et al. Genome-wide Profiling of Urinary Extracellular Vesicle microRNAs Associated With Diabetic Nephropathy in Type 1 Diabetes. Kidney Int Rep. 2017;3(3):555-572doi: 10.1016/j.ekir.2017.11.019.
Ghai, V., Wu, X., Bheda-Malge, A., Argyropoulos, C. P., Bernardo, J. F., Orchard, T., Galas, D., & Wang, K. (2018). Genome-wide Profiling of Urinary Extracellular Vesicle microRNAs Associated With Diabetic Nephropathy in Type 1 Diabetes. Kidney international reports, 3(3), 555-572. https://doi.org/10.1016/j.ekir.2017.11.019
Ghai, Vikas, et al. "Genome-wide Profiling of Urinary Extracellular Vesicle microRNAs Associated With Diabetic Nephropathy in Type 1 Diabetes." Kidney international reports vol. 3,3 (2018): 555-572. doi: https://doi.org/10.1016/j.ekir.2017.11.019
Ghai V, Wu X, Bheda-Malge A, Argyropoulos CP, Bernardo JF, Orchard T, Galas D, Wang K. Genome-wide Profiling of Urinary Extracellular Vesicle microRNAs Associated With Diabetic Nephropathy in Type 1 Diabetes. Kidney Int Rep. 2017 Dec 01;3(3):555-572. doi: 10.1016/j.ekir.2017.11.019. eCollection 2018 May. PMID: 29854963; PMCID: PMC5976846.
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Recent trends over time in vascular disease in type 1 diabetes: insights from the Pittsburgh Epidemiology of Diabetes Complications study.

Cardiovascular endocrinology & metabolism

Costacou T, Orchard TJ.
PMID: 31531415
Cardiovasc Endocrinol Metab. 2019 Mar;8(1):3-13. doi: 10.1097/XCE.0000000000000164.

AIMS: To evaluate recent trends, by diagnosis year, in the cumulative incidence of vascular type 1 diabetes (T1D) complications and their risk factors up to 35 years duration.METHODS: Participants from the Epidemiology of Diabetes Complications study of childhood-onset T1D...

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Costacou T, Orchard TJ. Recent trends over time in vascular disease in type 1 diabetes: insights from the Pittsburgh Epidemiology of Diabetes Complications study. Cardiovasc Endocrinol Metab. 2019;8(1):3-13doi: 10.1097/XCE.0000000000000164.
Costacou, T., & Orchard, T. J. (2019). Recent trends over time in vascular disease in type 1 diabetes: insights from the Pittsburgh Epidemiology of Diabetes Complications study. Cardiovascular endocrinology & metabolism, 8(1), 3-13. https://doi.org/10.1097/XCE.0000000000000164
Costacou, Tina, and Orchard, Trevor J. "Recent trends over time in vascular disease in type 1 diabetes: insights from the Pittsburgh Epidemiology of Diabetes Complications study." Cardiovascular endocrinology & metabolism vol. 8,1 (2019): 3-13. doi: https://doi.org/10.1097/XCE.0000000000000164
Costacou T, Orchard TJ. Recent trends over time in vascular disease in type 1 diabetes: insights from the Pittsburgh Epidemiology of Diabetes Complications study. Cardiovasc Endocrinol Metab. 2019 Mar;8(1):3-13. doi: 10.1097/XCE.0000000000000164. PMID: 31531415; PMCID: PMC6739893.
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30-Year Cardiovascular Disease in Type 1 Diabetes: Risk and Risk Factors Differ by Long-term Patterns of Glycemic Control.

Diabetes care

Miller RG, Orchard TJ, Costacou T.
PMID: 34782353
Diabetes Care. 2022 Jan 01;45(1):142-150. doi: 10.2337/dc21-1381.

OBJECTIVE: We hypothesized that there is heterogeneity in long-term patterns of glycemic control with respect to cardiovascular disease (CVD) development in type 1 diabetes and that risk factors for CVD differ by glycemic control pattern. Thus, we estimated associations...

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Miller RG, Orchard TJ, Costacou T. 30-Year Cardiovascular Disease in Type 1 Diabetes: Risk and Risk Factors Differ by Long-term Patterns of Glycemic Control. Diabetes Care. 2022;45(1):142-150doi: 10.2337/dc21-1381.
Miller, R. G., Orchard, T. J., & Costacou, T. (2022). 30-Year Cardiovascular Disease in Type 1 Diabetes: Risk and Risk Factors Differ by Long-term Patterns of Glycemic Control. Diabetes care, 45(1), 142-150. https://doi.org/10.2337/dc21-1381
Miller, Rachel G, et al. "30-Year Cardiovascular Disease in Type 1 Diabetes: Risk and Risk Factors Differ by Long-term Patterns of Glycemic Control." Diabetes care vol. 45,1 (2022): 142-150. doi: https://doi.org/10.2337/dc21-1381
Miller RG, Orchard TJ, Costacou T. 30-Year Cardiovascular Disease in Type 1 Diabetes: Risk and Risk Factors Differ by Long-term Patterns of Glycemic Control. Diabetes Care. 2022 Jan 01;45(1):142-150. doi: 10.2337/dc21-1381. PMID: 34782353.
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Cardiovascular health in early adulthood predicts the development of coronary heart disease in individuals with type 1 diabetes: 25 year follow-up from the Pittsburgh Epidemiology of Diabetes Complications study.

Diabetologia

Devaraj SM, Kriska AM, Orchard TJ, Miller RG, Costacou T.
PMID: 33190165
Diabetologia. 2021 Mar;64(3):571-580. doi: 10.1007/s00125-020-05328-9. Epub 2020 Nov 14.

AIMS/HYPOTHESIS: Type 1 diabetes increases CHD risk. We examined the use of the American Heart Association's cardiovascular health metrics (blood pressure, total cholesterol, glucose/HbAMETHODS: Prevalence of the seven cardiovascular health metrics was determined using first and second visits from...

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Devaraj SM, Kriska AM, Orchard TJ, et al. Cardiovascular health in early adulthood predicts the development of coronary heart disease in individuals with type 1 diabetes: 25 year follow-up from the Pittsburgh Epidemiology of Diabetes Complications study. Diabetologia. 2020;64(3):571-580doi: 10.1007/s00125-020-05328-9.
Devaraj, S. M., Kriska, A. M., Orchard, T. J., Miller, R. G., & Costacou, T. (2021). Cardiovascular health in early adulthood predicts the development of coronary heart disease in individuals with type 1 diabetes: 25 year follow-up from the Pittsburgh Epidemiology of Diabetes Complications study. Diabetologia, 64(3), 571-580. https://doi.org/10.1007/s00125-020-05328-9
Devaraj, Susan M, et al. "Cardiovascular health in early adulthood predicts the development of coronary heart disease in individuals with type 1 diabetes: 25 year follow-up from the Pittsburgh Epidemiology of Diabetes Complications study." Diabetologia vol. 64,3 (2021): 571-580. doi: https://doi.org/10.1007/s00125-020-05328-9
Devaraj SM, Kriska AM, Orchard TJ, Miller RG, Costacou T. Cardiovascular health in early adulthood predicts the development of coronary heart disease in individuals with type 1 diabetes: 25 year follow-up from the Pittsburgh Epidemiology of Diabetes Complications study. Diabetologia. 2021 Mar;64(3):571-580. doi: 10.1007/s00125-020-05328-9. Epub 2020 Nov 14. PMID: 33190165; PMCID: PMC7867591.
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Urinary MicroRNA Profiling Predicts the Development of Microalbuminuria in Patients with Type 1 Diabetes.

Journal of clinical medicine

Argyropoulos C, Wang K, Bernardo J, Ellis D, Orchard T, Galas D, Johnson JP.
PMID: 26239688
J Clin Med. 2015 Jul 17;4(7):1498-517. doi: 10.3390/jcm4071498.

Microalbuminuria provides the earliest clinical marker of diabetic nephropathy among patients with Type 1 diabetes, yet it lacks sensitivity and specificity for early histological manifestations of disease. In recent years microRNAs have emerged as potential mediators in the pathogenesis...

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Argyropoulos C, Wang K, Bernardo J, et al. Urinary MicroRNA Profiling Predicts the Development of Microalbuminuria in Patients with Type 1 Diabetes. J Clin Med. 2015;4(7):1498-517doi: 10.3390/jcm4071498.
Argyropoulos, C., Wang, K., Bernardo, J., Ellis, D., Orchard, T., Galas, D., & Johnson, J. P. (2015). Urinary MicroRNA Profiling Predicts the Development of Microalbuminuria in Patients with Type 1 Diabetes. Journal of clinical medicine, 4(7), 1498-517. https://doi.org/10.3390/jcm4071498
Argyropoulos, Christos, et al. "Urinary MicroRNA Profiling Predicts the Development of Microalbuminuria in Patients with Type 1 Diabetes." Journal of clinical medicine vol. 4,7 (2015): 1498-517. doi: https://doi.org/10.3390/jcm4071498
Argyropoulos C, Wang K, Bernardo J, Ellis D, Orchard T, Galas D, Johnson JP. Urinary MicroRNA Profiling Predicts the Development of Microalbuminuria in Patients with Type 1 Diabetes. J Clin Med. 2015 Jul 17;4(7):1498-517. doi: 10.3390/jcm4071498. PMID: 26239688; PMCID: PMC4519802.
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Skin intrinsic fluorescence scores are a predictor of all-cause mortality risk in type 1 diabetes: The Epidemiology of Diabetes Complications study.

Journal of diabetes and its complications

Tomaszewski EL, Orchard TJ, Hawkins M, Conway BN, Buchanich JM, Maynard J, Songer T, Costacou T.
PMID: 33168396
J Diabetes Complications. 2021 Feb;35(2):107770. doi: 10.1016/j.jdiacomp.2020.107770. Epub 2020 Oct 23.

AIMS: We assessed the association of skin intrinsic fluorescence (SIF) scores, as a measure of advanced glycation end-products (AGE), with all-cause mortality in type 1 diabetes (T1D).METHODS: This is an observational retrospective study of a convenience sample from the...

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Tomaszewski EL, Orchard TJ, Hawkins M, et al. Skin intrinsic fluorescence scores are a predictor of all-cause mortality risk in type 1 diabetes: The Epidemiology of Diabetes Complications study. J Diabetes Complications. 2020;35(2):107770doi: 10.1016/j.jdiacomp.2020.107770.
Tomaszewski, E. L., Orchard, T. J., Hawkins, M., Conway, B. N., Buchanich, J. M., Maynard, J., Songer, T., & Costacou, T. (2021). Skin intrinsic fluorescence scores are a predictor of all-cause mortality risk in type 1 diabetes: The Epidemiology of Diabetes Complications study. Journal of diabetes and its complications, 35(2), 107770. https://doi.org/10.1016/j.jdiacomp.2020.107770
Tomaszewski, Erin L, et al. "Skin intrinsic fluorescence scores are a predictor of all-cause mortality risk in type 1 diabetes: The Epidemiology of Diabetes Complications study." Journal of diabetes and its complications vol. 35,2 (2021): 107770. doi: https://doi.org/10.1016/j.jdiacomp.2020.107770
Tomaszewski EL, Orchard TJ, Hawkins M, Conway BN, Buchanich JM, Maynard J, Songer T, Costacou T. Skin intrinsic fluorescence scores are a predictor of all-cause mortality risk in type 1 diabetes: The Epidemiology of Diabetes Complications study. J Diabetes Complications. 2021 Feb;35(2):107770. doi: 10.1016/j.jdiacomp.2020.107770. Epub 2020 Oct 23. PMID: 33168396; PMCID: PMC7855847.
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Urinary Plasmin(ogen) as a Prognostic Factor for Hypertension.

Kidney international reports

Ray EC, Miller RG, Demko JE, Costacou T, Kinlough CL, Demko CL, Unruh ML, Orchard TJ, Kleyman TR.
PMID: 30450470
Kidney Int Rep. 2018 Jun 30;3(6):1434-1442. doi: 10.1016/j.ekir.2018.06.007. eCollection 2018 Nov.

INTRODUCTION: Plasmin and its precursor, plasminogen, are detectable in urine from patients with glomerular disease. Urinary plasmin(ogen) levels correlate with blood pressure (BP) and may contribute to renal NaMETHODS: The Pittsburgh Epidemiology of Diabetes Complications (EDC) study followed up...

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Ray EC, Miller RG, Demko JE, et al. Urinary Plasmin(ogen) as a Prognostic Factor for Hypertension. Kidney Int Rep. 2018;3(6):1434-1442doi: 10.1016/j.ekir.2018.06.007.
Ray, E. C., Miller, R. G., Demko, J. E., Costacou, T., Kinlough, C. L., Demko, C. L., Unruh, M. L., Orchard, T. J., & Kleyman, T. R. (2018). Urinary Plasmin(ogen) as a Prognostic Factor for Hypertension. Kidney international reports, 3(6), 1434-1442. https://doi.org/10.1016/j.ekir.2018.06.007
Ray, Evan C, et al. "Urinary Plasmin(ogen) as a Prognostic Factor for Hypertension." Kidney international reports vol. 3,6 (2018): 1434-1442. doi: https://doi.org/10.1016/j.ekir.2018.06.007
Ray EC, Miller RG, Demko JE, Costacou T, Kinlough CL, Demko CL, Unruh ML, Orchard TJ, Kleyman TR. Urinary Plasmin(ogen) as a Prognostic Factor for Hypertension. Kidney Int Rep. 2018 Jun 30;3(6):1434-1442. doi: 10.1016/j.ekir.2018.06.007. eCollection 2018 Nov. PMID: 30450470; PMCID: PMC6224670.
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Association of age at diabetes complication diagnosis with age at natural menopause in women with type 1 diabetes: The Pittsburgh Epidemiology of Diabetes Complications (EDC) Study.

Journal of diabetes and its complications

Yi Y, El Khoudary SR, Buchanich JM, Miller RG, Rubinstein D, Orchard TJ, Costacou T.
PMID: 33446412
J Diabetes Complications. 2021 Mar;35(3):107832. doi: 10.1016/j.jdiacomp.2020.107832. Epub 2021 Jan 02.

OBJECTIVE: Vascular damage is thought to have a role in premature ovarian aging. We thus assessed the association between the presence, and age at onset of, vascular diabetes complications and age at natural menopause in women with type 1...

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Yi Y, El Khoudary SR, Buchanich JM, et al. Association of age at diabetes complication diagnosis with age at natural menopause in women with type 1 diabetes: The Pittsburgh Epidemiology of Diabetes Complications (EDC) Study. J Diabetes Complications. 2021;35(3):107832doi: 10.1016/j.jdiacomp.2020.107832.
Yi, Y., El Khoudary, S. R., Buchanich, J. M., Miller, R. G., Rubinstein, D., Orchard, T. J., & Costacou, T. (2021). Association of age at diabetes complication diagnosis with age at natural menopause in women with type 1 diabetes: The Pittsburgh Epidemiology of Diabetes Complications (EDC) Study. Journal of diabetes and its complications, 35(3), 107832. https://doi.org/10.1016/j.jdiacomp.2020.107832
Yi, Yan, et al. "Association of age at diabetes complication diagnosis with age at natural menopause in women with type 1 diabetes: The Pittsburgh Epidemiology of Diabetes Complications (EDC) Study." Journal of diabetes and its complications vol. 35,3 (2021): 107832. doi: https://doi.org/10.1016/j.jdiacomp.2020.107832
Yi Y, El Khoudary SR, Buchanich JM, Miller RG, Rubinstein D, Orchard TJ, Costacou T. Association of age at diabetes complication diagnosis with age at natural menopause in women with type 1 diabetes: The Pittsburgh Epidemiology of Diabetes Complications (EDC) Study. J Diabetes Complications. 2021 Mar;35(3):107832. doi: 10.1016/j.jdiacomp.2020.107832. Epub 2021 Jan 02. PMID: 33446412; PMCID: PMC7870550.
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Statin use and cognitive function in middle-aged adults with type 1 diabetes.

World journal of diabetes

Nunley KA, Orchard TJ, Ryan CM, Miller R, Costacou T, Rosano C.
PMID: 28694929
World J Diabetes. 2017 Jun 15;8(6):286-296. doi: 10.4239/wjd.v8.i6.286.

AIM: To test associations between statin use and cognitive impairment in adults with childhood-onset type 1 diabetes (T1D).METHODS: In 2010-13, RESULTS: Of the 108 participants, 51 reported never using statins. Median duration of statin use among the 57 ever...

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Nunley KA, Orchard TJ, Ryan CM, et al. Statin use and cognitive function in middle-aged adults with type 1 diabetes. World J Diabetes. 2017;8(6):286-296doi: 10.4239/wjd.v8.i6.286.
Nunley, K. A., Orchard, T. J., Ryan, C. M., Miller, R., Costacou, T., & Rosano, C. (2017). Statin use and cognitive function in middle-aged adults with type 1 diabetes. World journal of diabetes, 8(6), 286-296. https://doi.org/10.4239/wjd.v8.i6.286
Nunley, Karen A, et al. "Statin use and cognitive function in middle-aged adults with type 1 diabetes." World journal of diabetes vol. 8,6 (2017): 286-296. doi: https://doi.org/10.4239/wjd.v8.i6.286
Nunley KA, Orchard TJ, Ryan CM, Miller R, Costacou T, Rosano C. Statin use and cognitive function in middle-aged adults with type 1 diabetes. World J Diabetes. 2017 Jun 15;8(6):286-296. doi: 10.4239/wjd.v8.i6.286. PMID: 28694929; PMCID: PMC5483427.
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30-Year Cardiovascular Disease in Type 1 Diabetes: Risk and Risk Factors Differ by Long-Term Patterns of Glycemic Control.

Diabetes care

Miller RG, Orchard TJ, Costacou T.
PMID: 34782353
Diabetes Care. 2021 Nov 15; doi: 10.2337/dc21-1381. Epub 2021 Nov 15.

OBJECTIVE: We hypothesized that there is heterogeneity in long-term patterns of glycemic control with respect to cardiovascular disease (CVD) development in type 1 diabetes and that risk factors for CVD differ by glycemic control pattern. Thus, we estimated associations...

Cite
Miller RG, Orchard TJ, Costacou T. 30-Year Cardiovascular Disease in Type 1 Diabetes: Risk and Risk Factors Differ by Long-Term Patterns of Glycemic Control. Diabetes Care. 2021;doi: 10.2337/dc21-1381.
Miller, R. G., Orchard, T. J., & Costacou, T. (2021). 30-Year Cardiovascular Disease in Type 1 Diabetes: Risk and Risk Factors Differ by Long-Term Patterns of Glycemic Control. Diabetes care, . https://doi.org/10.2337/dc21-1381
Miller, Rachel G, et al. "30-Year Cardiovascular Disease in Type 1 Diabetes: Risk and Risk Factors Differ by Long-Term Patterns of Glycemic Control." Diabetes care vol. (2021). doi: https://doi.org/10.2337/dc21-1381
Miller RG, Orchard TJ, Costacou T. 30-Year Cardiovascular Disease in Type 1 Diabetes: Risk and Risk Factors Differ by Long-Term Patterns of Glycemic Control. Diabetes Care. 2021 Nov 15; doi: 10.2337/dc21-1381. Epub 2021 Nov 15. PMID: 34782353.
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Showing 1 to 10 of 10 entries