Circulating TNF receptors 1 and 2 predict progression of diabetic kidney disease: A meta-analysis

Diabetes Metab Res Rev. 2019 Nov;35(8):e3195. doi: 10.1002/dmrr.3195. Epub 2019 Jul 24.

Abstract

Background: We conducted a meta-analysis to investigate the association of circulating tumor necrosis factor-1 (TNFR-1) and TNFR-2 with diabetic kidney disease (DKD) progression, which is the first-ever quantitative analysis of these associations thus far. Whether TNFRs were better than albumin-creatinine ratio (ACR) in predicting DKD progression was also explored.

Methods: A systematic search of the PubMed, EMBASE, and Cochrane Library databases up to 1 February 2018, was conducted. The main outcome was DKD progression, which was defined as eGFR decline, macroalbuminuria, or incidence of DKD-related events. Eligible studies were included for pooled analysis using either fixed-effects or random-effects models to incorporate between-study variation by different measurement standards. Publication bias was evaluated using Egger's test.

Results: The meta-analysis included 6526 participants from 11 cohorts with circulating TNFR-1 measurements and 5385 participants from 10 prospective studies with circulating TNFR-2 measurements. Compared with the lowest level category, diabetic patients with the highest TNFR-1 or TNFR-2 level category exhibited a higher risk of DKD progression (RR 2.51, 95% CI [1.92-3.27] for TNFR-1; 3.23 [1.99-5.26] for TNFR-2). The risk of DKD progression was also increased with the per unit increment of TNFR-1 or TNFR-2 (1.68 [1.43-1.97] for TNFR-1; 1.69 [1.31-2.17] for TNFR-2). Although existing studies did not support a direct comparison between ACR and TNFRs, it was undeniable that TNFRs could improve the predictive value in DKD progression.

Conclusions: Circulating TNFR-1 and TNFR-2 are reliable predictors of DKD progression. Whether TNFRs are better than ACR at predicting DKD progression needs to be further investigated.

Keywords: DKD; TNFR-1; TNFR-2; meta-analysis; prospective cohort.

Publication types

  • Meta-Analysis
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Biomarkers / blood*
  • Diabetic Nephropathies / blood*
  • Diabetic Nephropathies / pathology*
  • Disease Progression
  • Humans
  • Prognosis
  • Receptors, Tumor Necrosis Factor, Type I / blood*
  • Receptors, Tumor Necrosis Factor, Type II / blood*

Substances

  • Biomarkers
  • Receptors, Tumor Necrosis Factor, Type I
  • Receptors, Tumor Necrosis Factor, Type II