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Review
. 2019 Nov 16:2019:7284691.
doi: 10.1155/2019/7284691. eCollection 2019.

Association between MIC-1 and Type 2 Diabetes: A Combined Analysis

Affiliations
Review

Association between MIC-1 and Type 2 Diabetes: A Combined Analysis

Jianan Lu et al. Dis Markers. .

Abstract

Background and objectives: Type 2 diabetes mellitus (T2DM) is an epidemic disease that endangers human health seriously. Recently, a large number of reports have revealed that macrophage-inhibiting cytokine-1 (MIC-1) is linked with T2DM, but the results were inconclusive. The aim of this study was to perform bioinformatics analysis of the association between MIC-1 and T2DM.

Material and methods: Datasets and relevant literatures were searched in Gene Expression Omnibus (GEO), PubMed, Google Scholar, and Web of Science till September 20, 2019. Expression levels of MIC-1 were extracted, pooled, and compared between T2DM cases and controls.

Results: In summary, 11 GEO datasets and 3 articles with 421 T2DM cases and 711 controls were finally included. The expression level of MIC-1 was significantly higher in T2DM patients compared with controls, with a standard mean difference (SMD) of 0.54 and a 95% confidence interval (95% CI) of 0.24-0.83; in blood samples, the difference was still significant (SMD = 0.65; 95%CI = 0.24-1.06). Meanwhile, the expression level of MIC-1 plays a significant role in differentiating T2DM cases from controls; the combined sensitivity, specificity, and odds ratio were 0.83 (95%CI = 0.72-0.90), 0.59 (95%CI = 0.45-0.72), and 1.64 (95%CI = 1.35-1.99), respectively. The summary receiver operating characteristic (SROC) curve demonstrated that the area under the curve (AUC) was 0.81 (95%CI = 0.77-0.84).

Conclusion: Our results suggested that the expression levels of MIC-1 were significantly higher in T2DM patients in multiple tissues including blood samples.

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Conflict of interest statement

No potential conflict of interest was reported by the authors.

Figures

Figure 1
Figure 1
Search flow diagram for literature selection.
Figure 2
Figure 2
Forest plot showing SMD of MIC-1 expression between T2DM patients and nondiabetes people. The random effect model was used in all groups.
Figure 3
Figure 3
Forest plot showing SMD of MIC-1 expression in blood samples between T2DM patients and nondiabetes people. The random effect model was used in all groups.
Figure 4
Figure 4
Diagnostic analysis of MIC-1 value in T2DM patients.
Figure 5
Figure 5
Summary receiver operating characteristic curve of MIC-1 value in T2DM patients.
Figure 6
Figure 6
Sensitivity analysis of the value of MIC-1 in T2DM patients.

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