The pattern-recognition molecule H-ficolin in relation to diabetic kidney disease, mortality, and cardiovascular events in type 1 diabetes
Abstract H-ficolin recognizes patterns on microorganisms and stressed cells and can activate the lectin pathway of the complement system. We aimed to assess H-ficolin in relation to the progression of diabetic kidney disease (DKD), all-cause mortality, diabetes-related mortality, and cardiovascular...
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2021
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oai:doaj.org-article:57d0b777d8664b92b1ec1e3d5dbadfde2021-12-02T17:14:58ZThe pattern-recognition molecule H-ficolin in relation to diabetic kidney disease, mortality, and cardiovascular events in type 1 diabetes10.1038/s41598-021-88352-y2045-2322https://doaj.org/article/57d0b777d8664b92b1ec1e3d5dbadfde2021-04-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-88352-yhttps://doaj.org/toc/2045-2322Abstract H-ficolin recognizes patterns on microorganisms and stressed cells and can activate the lectin pathway of the complement system. We aimed to assess H-ficolin in relation to the progression of diabetic kidney disease (DKD), all-cause mortality, diabetes-related mortality, and cardiovascular events. Event rates per 10-unit H-ficolin-increase were compared in an observational follow-up of 2,410 individuals with type 1 diabetes from the FinnDiane Study. DKD progression occurred in 400 individuals. The unadjusted hazard ratio (HR) for progression was 1.29 (1.18–1.40) and 1.16 (1.05–1.29) after adjustment for diabetes duration, sex, HbA1c, systolic blood pressure, and smoking status. After adding triglycerides to the model, the HR decreased to 1.07 (0.97–1.18). In all, 486 individuals died, including 268 deaths of cardiovascular causes and 192 deaths of complications to diabetes. HRs for all-cause mortality and cardiovascular mortality were 1.13 (1.04–1.22) and 1.05 (0.93–1.17), respectively, in unadjusted analyses. These estimates lost statistical significance in adjusted models. However, the unadjusted HR for diabetes-related mortality was 1.19 (1.05–1.35) and 1.18 (1.02–1.37) with the most stringent adjustment level. Our results, therefore, indicate that H-ficolin predicts diabetes-related mortality, but neither all-cause mortality nor fatal/non-fatal cardiovascular events. Furthermore, H-ficolin is associated with DKD progression, however, not independently of the fully adjusted model.Jakob Appel ØstergaardFanny Jansson SigfridsCarol ForsblomEmma H. DahlströmLena M. ThornValma HarjutsaloAllan FlyvbjergSteffen ThielTroels Krarup HansenPer-Henrik GroopNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-9 (2021) |
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Medicine R Science Q Jakob Appel Østergaard Fanny Jansson Sigfrids Carol Forsblom Emma H. Dahlström Lena M. Thorn Valma Harjutsalo Allan Flyvbjerg Steffen Thiel Troels Krarup Hansen Per-Henrik Groop The pattern-recognition molecule H-ficolin in relation to diabetic kidney disease, mortality, and cardiovascular events in type 1 diabetes |
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Abstract H-ficolin recognizes patterns on microorganisms and stressed cells and can activate the lectin pathway of the complement system. We aimed to assess H-ficolin in relation to the progression of diabetic kidney disease (DKD), all-cause mortality, diabetes-related mortality, and cardiovascular events. Event rates per 10-unit H-ficolin-increase were compared in an observational follow-up of 2,410 individuals with type 1 diabetes from the FinnDiane Study. DKD progression occurred in 400 individuals. The unadjusted hazard ratio (HR) for progression was 1.29 (1.18–1.40) and 1.16 (1.05–1.29) after adjustment for diabetes duration, sex, HbA1c, systolic blood pressure, and smoking status. After adding triglycerides to the model, the HR decreased to 1.07 (0.97–1.18). In all, 486 individuals died, including 268 deaths of cardiovascular causes and 192 deaths of complications to diabetes. HRs for all-cause mortality and cardiovascular mortality were 1.13 (1.04–1.22) and 1.05 (0.93–1.17), respectively, in unadjusted analyses. These estimates lost statistical significance in adjusted models. However, the unadjusted HR for diabetes-related mortality was 1.19 (1.05–1.35) and 1.18 (1.02–1.37) with the most stringent adjustment level. Our results, therefore, indicate that H-ficolin predicts diabetes-related mortality, but neither all-cause mortality nor fatal/non-fatal cardiovascular events. Furthermore, H-ficolin is associated with DKD progression, however, not independently of the fully adjusted model. |
format |
article |
author |
Jakob Appel Østergaard Fanny Jansson Sigfrids Carol Forsblom Emma H. Dahlström Lena M. Thorn Valma Harjutsalo Allan Flyvbjerg Steffen Thiel Troels Krarup Hansen Per-Henrik Groop |
author_facet |
Jakob Appel Østergaard Fanny Jansson Sigfrids Carol Forsblom Emma H. Dahlström Lena M. Thorn Valma Harjutsalo Allan Flyvbjerg Steffen Thiel Troels Krarup Hansen Per-Henrik Groop |
author_sort |
Jakob Appel Østergaard |
title |
The pattern-recognition molecule H-ficolin in relation to diabetic kidney disease, mortality, and cardiovascular events in type 1 diabetes |
title_short |
The pattern-recognition molecule H-ficolin in relation to diabetic kidney disease, mortality, and cardiovascular events in type 1 diabetes |
title_full |
The pattern-recognition molecule H-ficolin in relation to diabetic kidney disease, mortality, and cardiovascular events in type 1 diabetes |
title_fullStr |
The pattern-recognition molecule H-ficolin in relation to diabetic kidney disease, mortality, and cardiovascular events in type 1 diabetes |
title_full_unstemmed |
The pattern-recognition molecule H-ficolin in relation to diabetic kidney disease, mortality, and cardiovascular events in type 1 diabetes |
title_sort |
pattern-recognition molecule h-ficolin in relation to diabetic kidney disease, mortality, and cardiovascular events in type 1 diabetes |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/57d0b777d8664b92b1ec1e3d5dbadfde |
work_keys_str_mv |
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