Key result
Long noncoding RNAs identify type 2 diabetes and its complications with an AUC of 0.84.
Why the study?
Long noncoding RNAs may be associated with type 2 diabetes mellitus and its complications, but findings regarding their diagnostic utility remained controversial.
Do long noncoding RNAs have diagnostic utility for identifying type 2 diabetes mellitus and its complications?
Meta-Analysis (n=4,685)
Do long noncoding RNAs have diagnostic utility for identifying type 2 diabetes mellitus and its complications?
Effect estimate: AUC 0.84 (95% CI 0.80-0.87)
Long noncoding RNAs demonstrate promising diagnostic accuracy for type 2 diabetes mellitus and its complications, with a pooled AUC of 0.84.
May support lncRNA diagnostics in T2DM; extends meta-analytic evidence but requires prospective validation before practice change.
AIMS: Long noncoding RNAs (lncRNAs) may be associated with the development of type 2 diabetes mellitus and its complications; however, the findings remain controversial. We aimed to synthesize the available data to assess the diagnostic utility of lncRNAs for identification of type 2 diabetes mellitus and its consequences. MATERIALS AND METHODS: We performed a systematic review and meta-analysis, searching PubMed, Embase, and Web of Science for articles published from September 11, 2015 to December 27, 2022. We evaluated human case-control or cohort studies on differential lncRNA expression in type 2 diabetes mellitus or its associated comorbidities. We excluded studies if they were non-peer reviewed or published in languages other than English. From 2387 identified studies, we included 17 (4685 participants). RESULTS: Analysis of the pooled data showed that lncRNAs had a diagnostic area under the curve (AUC) of 0.84 (95% CI: 0.80-0.87), with a sensitivity of 0.79 (95% CI: 0.74-0.83) and a specificity of 0.75 (95% CI: 0.69-0.80). LncRNAs had an AUC of 0.65 for the diagnosis of prediabetes, with 82% sensitivity and 65% specificity. CONCLUSIONS: LncRNAs may be promising diagnostic markers for type 2 diabetes mellitus and its complications.
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Su et al. (2023) conducted a meta-analysis in Type 2 diabetes mellitus and its complications (n=4,685). Long noncoding RNAs (lncRNAs) was evaluated on Diagnostic area under the curve (AUC) for type 2 diabetes mellitus and its consequences (AUC 0.84, 95% CI 0.80-0.87). Long noncoding RNAs demonstrated a diagnostic area under the curve of 0.84 (95% CI 0.80-0.87) for identifying type 2 diabetes mellitus and its complications.
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