Triglycerides as Biomarker for Predicting Systemic Lupus Erythematosus Related Kidney Injury of Negative Proteinuria

doi:10.3390/biom12070945

	Triglycerides as Biomarker for Predicting Systemic Lupus Erythematosus Related Kidney Injury of Negative Proteinuria
	Si, Mingjun 1; Li, Danyang 1; Liu, Ting 1; Cai, Yuanyan 1; Yang, Jingyu 1; Jiang, Lili2 ; Yu, Haitao 1,3
	2022-07
发表期刊	BIOMOLECULES
卷号	12 期号:7
摘要	Fewer biomarkers can be used to predict systemic lupus erythematosus (SLE) related kidney injury. This paper presents an apriori algorithm of association rules to mine the predictive biomarkers for SLE-related kidney injury of negative proteinuria. An apriori algorithm of association rules was employed to identify biomarkers, and logistic regression analysis and spearman correlation analysis were used to evaluate the correlation between triglycerides and SLE-related kidney injury of negative proteinuria. Triglycerides were mined out by the apriori algorithm of association rules. The level of triglycerides was significantly higher, and it was an independent risk factor for SLE-related kidney injury. In the high-triglycerides group, the number of patients with SLE-related kidney injury, SLEDAI-2K, urine P-CAST, the level of blood urea nitrogen, serum creatinine, and proteinuria were increased. Triglycerides level was positively correlated with proteinuria and P-CAST and negatively correlated with albumin and IgG. The area under the ROC curve of triglycerides and triglycerides combined proteinuria was 0.72 and 0.82, respectively. Significantly, 50% of SLE-related kidney injuries of negative proteinuria could be identified by high triglycerides levels. High triglycerides level was found at the time of onset of kidney injury, and it was opposite to glomerular filtration rate. Triglycerides may be a potential marker for predicting SLE-related kidney injury, especially in SLE-related kidney injury of negative proteinuria. Triglycerides combined proteinuria could predict SLE-related kidney injury effectively.
关键词	systemic lupus erythematosus association rule mining apriori algorithm kidney injury triglycerides
DOI	10.3390/biom12070945
收录类别	SCIE
语种	英语
WOS研究方向	Biochemistry & Molecular Biology
WOS类目	Biochemistry & Molecular Biology
WOS记录号	WOS:000832003100001
出版者	MDPI
来源库	WOS
引用统计	被引频次：2[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	https://ir.lut.edu.cn/handle/2XXMBERH/159455
专题	材料科学与工程学院
通讯作者	Yu, Haitao
作者单位	1.Lanzhou Univ, Clin Med Coll 1, Lanzhou 730000, Peoples R China; 2.Lanzhou Univ Technol, Sch Mat Sci & Technol, Lanzhou 730000, Peoples R China; 3.Lanzhou Univ, Hosp 1, Dept Lab Med, Lanzhou 730000, Peoples R China
推荐引用方式 GB/T 7714	Si, Mingjun,Li, Danyang,Liu, Ting,et al. Triglycerides as Biomarker for Predicting Systemic Lupus Erythematosus Related Kidney Injury of Negative Proteinuria[J]. BIOMOLECULES,2022,12(7).
APA	Si, Mingjun.,Li, Danyang.,Liu, Ting.,Cai, Yuanyan.,Yang, Jingyu.,...&Yu, Haitao.(2022).Triglycerides as Biomarker for Predicting Systemic Lupus Erythematosus Related Kidney Injury of Negative Proteinuria.BIOMOLECULES,12(7).
MLA	Si, Mingjun,et al."Triglycerides as Biomarker for Predicting Systemic Lupus Erythematosus Related Kidney Injury of Negative Proteinuria".BIOMOLECULES 12.7(2022).