Literature DB >> 23844944

Associations and interactions between lipid profiles, retinopathy and nephropathy in patients with type 1 diabetes: the FinnDiane Study.

N Tolonen1, K Hietala, C Forsblom, V Harjutsalo, V-P Mäkinen, J Kytö, P A Summanen, L M Thorn, J Wadén, D Gordin, M-R Taskinen, P-H Groop.   

Abstract

OBJECTIVES: The aim of this study was to investigate the associations between lipid profiles and retinopathy in the large nationwide FinnDiane Study and to examine interactions and correlations between retinopathy, nephropathy and lipid variables. DESIGN AND
SUBJECTS: A total of 1465 patients with type 1 diabetes, available lipid profiles, ophthalmic records and fundus photographs were included in the study. The Early Treatment of Diabetic Retinopathy Study scale was used to assess the severity of retinopathy. In an independent cohort of 1100 patients, laser treatment was used to define severe diabetic retinopathy.
RESULTS: HDL cholesterol was associated with proliferative retinopathy (PDR), and triglycerides were associated with mild nonproliferative retinopathy (NPDR) independently of nephropathy and other conventional risk factors (P < 0.01). Significant interactions were seen between albumin excretion rate (AER), retinopathy status and lipid parameters (including triglycerides, non-HDL cholesterol and apolipoprotein B; P < 0.001). Highly different correlations between AER and lipid variables were observed in patients without retinopathy or with mild NPDR compared with patients with moderate to severe NPDR or PDR. Similar interactions and correlations were observed in an independent cohort stratified by laser treatment. In patients without retinopathy or with mild NPDR, AER was low despite HDL cholesterol in the lowest or triglycerides, total cholesterol or LDL cholesterol in the highest quartiles.
CONCLUSIONS: Nephropathy had a strong effect on the associations between lipid variables and retinopathy, whilst dyslipidaemia was associated with nephropathy only in the presence of retinopathy. This finding suggests the existence of shared pathogenic mechanisms between retinopathy and nephropathy which could be targeted to prevent complications in patients with metabolic risk factors.
© 2013 The Association for the Publication of the Journal of Internal Medicine.

Entities:  

Keywords:  apolipoproteins; diabetic nephropathy; lipids; lipoproteins; type 1 diabetes

Mesh:

Substances:

Year:  2013        PMID: 23844944     DOI: 10.1111/joim.12111

Source DB:  PubMed          Journal:  J Intern Med        ISSN: 0954-6820            Impact factor:   8.989


  9 in total

1.  Association Between Increased Lipid Profiles and Risk of Diabetic Retinopathy in a Population-Based Case-Control Study.

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Journal:  J Inflamm Res       Date:  2022-06-10

2.  Risk Factors for Proliferative Diabetic Retinopathy in African Americans with Type 2 Diabetes.

Authors:  Alan Penman; Heather Hancock; Evangelia Papavasileiou; Maurice James; Omolola Idowu; Daniel M Riche; Marlene Fernandez; Stacey Brauner; Sataria O Smith; Suzanne Hoadley; Cole Richardson; Vanessa Vazquez; Cheryl Chi; Christopher Andreoli; Deeba Husain; Ching J Chen; Lucia Sobrin
Journal:  Ophthalmic Epidemiol       Date:  2016-03-07       Impact factor: 1.648

3.  Increased serum periostin concentrations are associated with the presence of diabetic retinopathy in patients with type 2 diabetes mellitus.

Authors:  Y Ding; Q Ge; H Qu; Z Feng; J Long; Q Wei; Q Zhou; R Wu; L Yao; H Deng
Journal:  J Endocrinol Invest       Date:  2018-01-18       Impact factor: 4.256

4.  Nomogram for prediction of non-proliferative diabetic retinopathy in juvenile-onset type 1 diabetes: a cohort study in an Asian population.

Authors:  Eugene Yu-Chuan Kang; Fu-Sung Lo; Jung-Pan Wang; Lung-Kun Yeh; An-Lun Wu; Yun-Ju Tseng; Chun-Ting Yeh; Laura Liu; Kuan-Jen Chen; Wei-Chi Wu; Chi-Chun Lai; Nan-Kai Wang
Journal:  Sci Rep       Date:  2018-08-15       Impact factor: 4.379

5.  Nomogram for the Risk of Diabetic Nephropathy or Diabetic Retinopathy Among Patients with Type 2 Diabetes Mellitus Based on Questionnaire and Biochemical Indicators: A Cross-Sectional Study.

Authors:  Rong Shi; Zheyun Niu; Birong Wu; Taotao Zhang; Dujie Cai; Hui Sun; Yuhong Hu; Ruohui Mo; Fan Hu
Journal:  Diabetes Metab Syndr Obes       Date:  2020-04-20       Impact factor: 3.168

6.  Influence of Age at Diagnosis and Time-Dependent Risk Factors on the Development of Diabetic Retinopathy in Patients with Type 1 Diabetes.

Authors:  Luis Forga; María José Goñi; Berta Ibáñez; Koldo Cambra; Marta García-Mouriz; Ana Iriarte
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7.  Evidence of altered brain network centrality in patients with diabetic nephropathy and retinopathy: an fMRI study using a voxel-wise degree centrality approach.

Authors:  Yu Wang; Lei Jiang; Xiao-Yu Wang; Weizhe Chen; Yi Shao; Qin-Kai Chen; Jin-Lei Lv
Journal:  Ther Adv Endocrinol Metab       Date:  2019-07-27       Impact factor: 3.565

8.  LDL cholesterol level as a risk factor for retinopathy and nephropathy in children and adults with type 1 diabetes mellitus: A nationwide cohort study.

Authors:  B Rathsman; J Haas; M Persson; J Ludvigsson; A-M Svensson; M Lind; M Andersson Franko; T Nyström
Journal:  J Intern Med       Date:  2020-12-27       Impact factor: 8.989

9.  Is there a relationship between body mass index and diabetic retinopathy in type II diabetic patients? A cross sectional study.

Authors:  Zahra Sarrafan-Chaharsoughi; Masoud Reza Manaviat; Nasim Namiranian; Pouria Yazdian-Anari; Masoud Rahmanian
Journal:  J Diabetes Metab Disord       Date:  2018-04-28
  9 in total

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