Association study of serum LncRNA MALAT1 and SAA with type 2 diabetic kidney disease.
10.3760/cma.j.cn112150-20220325-00282
- Author:
Hua Jun GAO
1
;
Ying Chun QIAO
1
;
Ying Ying ZHANG
1
;
Ya Ru WANG
1
;
Wen Yan NIU
1
Author Information
1. Clinical Laboratory,National Health Commission Key Laboratory of Hormones and Development, Tianjin Key Laboratory of Metabolic Diseases, Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin 300134, China.
- Publication Type:Journal Article
- MeSH:
Humans;
RNA, Long Noncoding/metabolism*;
Diabetes Mellitus, Type 2;
Diabetic Nephropathies/urine*;
Retrospective Studies;
Glycated Hemoglobin;
Serum Amyloid A Protein;
Albuminuria
- From:
Chinese Journal of Preventive Medicine
2022;56(12):1838-1843
- CountryChina
- Language:Chinese
-
Abstract:
To investigate the correlation of serum long noncoding RNA-metastasis associated lung adenocarcinoma transcript 1(LncRNA MALAT1) and serum amyloid A(SAA) with diabetic kidney disease. Retrospective research was used, and 40 patients with type 2 diabetes and 80 patients with type 2 diabetic kidney disease patients who were treated in Tianjin Medical University Chu Hsien-I Memorial Hospital from August 2021 to February 2022 were selected, and 40 healthy subjects were selected during the same period. Reverse transcription-polymerase chain reaction(RT-PCR) was used to detect serum LncRNA MALAT1. SAA were detected with enzyme linked immunosorbent assay (ELISA). Automatic biochemistry analyzer was used to detect serum creatinine (CREA) and low-density lipoprotein cholesterol(LDL-C),automatic blood glucose analyzer to detect serum fasting plasma glucose (FPG), automatic glycated hemoglobin analyzer to detect hemoglobin A1C (HbA1c), and automatic immunoassay analyzer to detect urinary albumin to creatinine ratio(UACR). Differences between groups were compared by t test and analysis of variance. Pearson analysis was used to analyze the correlation between MALAT1, SAA and other indicators. Receiver operating characteristic curve(ROC) was used to evaluate the auxiliary diagnostic value of MALAT1 and SAA for diabetic kidney disease. The results showed that MALAT1 and SAA in the diabetic kidney disease with mass albuminuria group were higher than those in the type 2 diabetes mellitus group (q=8.57, P<0.01; q=11.09, P<0.01) and the diabetic kidney disease with microalbuminuria group (q=3.96, P<0.05; q=7.85, P<0.01). MALAT1 had a high correlation with UACR, CREA, SAA, HbA1c and FPG (r value was 0.706, 0.643, 0.578, 0.553, and 0.524, all P<0.01), and SAA had a high correlation with UACR, HbA1c and FPG (r value was 0.664, 0.617, and 0.595, all P<0.01). ROC curve analysis of the diagnostic value of LncRNA MALAT1 and protein SAA for diabetic kidney disease showed that the areas under curve (AUC) were 0.741 and 0.744, respectively. The combined diagnostic value of the two was the greatest (AUC=0.801). In summary, MALAT1 and SAA were elevated in the serum of patients with type 2 diabetes. Their concentrations in the serum of group with diabetic kidney disease were higher than that in the type 2 diabetes group, and the serum concentrations of MALAT1 and SAA in group with mass albuminuria are higher than the group with microalbuminuria. MALAT1 and SAA were both closely related to UACR and HbA1c, and there is a correlation between them. Both of them may have ancillary diagnostic value for diabetic kidney disease.
