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Review
. 2020 Oct;33(5):931-948.
doi: 10.1007/s40620-020-00759-4. Epub 2020 May 30.

Omics research in diabetic kidney disease: new biomarker dimensions and new understandings?

Affiliations
Review

Omics research in diabetic kidney disease: new biomarker dimensions and new understandings?

Nete Tofte et al. J Nephrol. 2020 Oct.

Abstract

The use of "omics" is increasing in research areas looking to identify biomarkers or early preclinical signs of disease or to increase understanding of complex pathological processes that determines prognosis of the disease. Diabetic kidney disease is no exception as it is an area in need of further improvement of both understanding and prognosis. In addition, there is a notion that pretreatment investigations using techniques like proteomics, lipidomics and metabolomics can help individualize therapy thus fulfilling the wish for personalized medicine. An increasing number of cohort studies using these techniques are published, but only few have been validated in external cohorts or even replicated by other groups. In essence, to achieve clinical impact and usefulness, prospective validation is needed. So far, only the urinary proteomics based PRIORITY study has tried to do this, as discussed in this review. Other areas are promising, but are currently lacking such efforts. In this review we report and discuss the current status of urinary proteomics as well as plasma metabolomics and lipidomics with an overview of the results so far, and with some comments and perspectives regarding future developments and implementation. As is evident, these techniques are promising, but there is still some way before widespread clinical use can be foreseen.

Keywords: Biomarkers; Diabetes; Diabetic kidney disease; Metabolomics; Omics; Proteomics.

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References

    1. Cho NH, Shaw JE, Karuranga S, Huang Y, da Rocha Fernandes JD, Ohlrogge AW, Malanda B (2018) IDF Diabetes Atlas: global estimates of diabetes prevalence for 2017 and projections for 2045. Diabetes Res Clin Pract 138:271–281
    1. Gregg EW, Li Y, Wang J, Burrows NR, Ali MK, Rolka D, Williams DE, Geiss L (2014) Changes in diabetes-related complications in the United States, 1990–2010. N Engl J Med 370(16):1514–1523
    1. Persson F, Rossing P (2018) Diagnosis of diabetic kidney disease: state of the art and future perspective. Kidney Int Suppl (2011) 8(1):2–7
    1. Tuttle KR, Bakris GL, Bilous RW, Chiang JL, de Boer IH, Goldstein-Fuchs J, Hirsch IB, Kalantar-Zadeh K, Narva AS, Navaneethan SD et al (2014) Diabetic kidney disease: a report from an ADA Consensus Conference. Diabetes Care 37(10):2864–2883 - PMC - PubMed
    1. Bjerg L, Hulman A, Carstensen B, Charles M, Witte DR, Jorgensen ME (2019) Effect of duration and burden of microvascular complications on mortality rate in type 1 diabetes: an observational clinical cohort study. Diabetologia 62:633–643

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