Connection

Gabriel Virella to Diabetes Mellitus, Type 1

This is a "connection" page, showing publications Gabriel Virella has written about Diabetes Mellitus, Type 1.
Connection Strength

1.441
  1. Distribution of IgM and IgG antibodies to oxidized LDL in immune complexes isolated from patients with type 1 diabetes and its relationship with nephropathy. Clin Immunol. 2008 Jun; 127(3):394-400.
    View in: PubMed
    Score: 0.232
  2. Immune Complexes and the Risk of CVD in Type 1 Diabetes. Diabetes. 2019 09; 68(9):1853-1860.
    View in: PubMed
    Score: 0.125
  3. Glycosylated sphingolipids and progression to kidney dysfunction in type 1 diabetes. J Clin Lipidol. 2019 May - Jun; 13(3):481-491.e1.
    View in: PubMed
    Score: 0.123
  4. Association Between Inflammatory Markers and Progression to Kidney Dysfunction: Examining Different Assessment Windows in Patients With Type 1 Diabetes. Diabetes Care. 2018 01; 41(1):128-135.
    View in: PubMed
    Score: 0.112
  5. Longitudinal Association Between Endothelial Dysfunction, Inflammation, and Clotting Biomarkers With Subclinical Atherosclerosis in Type 1 Diabetes: An Evaluation of the DCCT/EDIC Cohort. Diabetes Care. 2015 Jul; 38(7):1281-9.
    View in: PubMed
    Score: 0.093
  6. Decreased plasma levels of select very long chain ceramide species are associated with the development of nephropathy in type 1 diabetes. Metabolism. 2014 Oct; 63(10):1287-95.
    View in: PubMed
    Score: 0.089
  7. Response to comment on Lopes-Virella et al. Baseline markers of inflammation are associated with progression to macroalbuminuria in type 1 diabetic subjects. Diabetes care 2013;36:2317-2323. Diabetes Care. 2014 May; 37(5):e108-9.
    View in: PubMed
    Score: 0.086
  8. Oxidized LDL and AGE-LDL in circulating immune complexes strongly predict progression of carotid artery IMT in type 1 diabetes. Atherosclerosis. 2013 Dec; 231(2):315-22.
    View in: PubMed
    Score: 0.084
  9. Baseline markers of inflammation are associated with progression to macroalbuminuria in type 1 diabetic subjects. Diabetes Care. 2013 Aug; 36(8):2317-23.
    View in: PubMed
    Score: 0.081
  10. High concentrations of AGE-LDL and oxidized LDL in circulating immune complexes are associated with progression of retinopathy in type 1 diabetes. Diabetes Care. 2012 Jun; 35(6):1333-40.
    View in: PubMed
    Score: 0.076
  11. High levels of oxidized LDL in circulating immune complexes are associated with increased odds of developing abnormal albuminuria in Type 1 diabetes. Nephrol Dial Transplant. 2012 Apr; 27(4):1416-23.
    View in: PubMed
    Score: 0.073
  12. LDL-containing immune complexes in the DCCT/EDIC cohort: associations with lipoprotein subclasses. J Diabetes Complications. 2011 Mar-Apr; 25(2):73-82.
    View in: PubMed
    Score: 0.067
  13. Immune complexes containing modified lipoproteins are related to the progression of internal carotid intima-media thickness in patients with type 1 diabetes. Atherosclerosis. 2007 Feb; 190(2):359-69.
    View in: PubMed
    Score: 0.050
  14. Novel predictors of overt nephropathy in subjects with type 1 diabetes. A nested case control study from the Pittsburgh Epidemiology of Diabetes Complications cohort. Nephrol Dial Transplant. 2006 Jan; 21(1):93-100.
    View in: PubMed
    Score: 0.048
  15. Markers of endothelial dysfunction in the prediction of coronary artery disease in type 1 diabetes. The Pittsburgh Epidemiology of Diabetes Complications Study. J Diabetes Complications. 2005 Jul-Aug; 19(4):183-93.
    View in: PubMed
    Score: 0.047
  16. Autoimmune response to advanced glycosylation end-products of human LDL. J Lipid Res. 2003 Mar; 44(3):487-93.
    View in: PubMed
    Score: 0.040
  17. Risk factors related to inflammation and endothelial dysfunction in the DCCT/EDIC cohort and their relationship with nephropathy and macrovascular complications. Diabetes Care. 2008 Oct; 31(10):2006-12.
    View in: PubMed
    Score: 0.015
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.