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Study on the Relationship between lncRNA Gene Polymorphism and Systemic Lupus Erythematosus.
Guan, Xue; Liu, Dan; Xing, Yuling; Guan, Xiuru.
Affiliation
  • Guan X; Clinical Laboratory, First Affiliated Hospital of Harbin Medical University, 150001, China.
  • Liu D; Clinical Laboratory, First Affiliated Hospital of Harbin Medical University, 150001, China.
  • Xing Y; Clinical Laboratory, Qingdao Hospital of Traditional Chinese Medicine (Qingdao Hiser Hospital), 266033, China.
  • Guan X; Clinical Laboratory, First Affiliated Hospital of Harbin Medical University, 150001, China.
Comput Math Methods Med ; 2022: 4446016, 2022.
Article de En | MEDLINE | ID: mdl-35265170
ABSTRACT

Background:

Systemic lupus erythematosus (SLE) is an autoimmune disease that can cause damage to multiple systems of the body. A number of studies have shown that long-chain noncoding RNA (lncRNA) can participate in the occurrence and development of a variety of autoimmune diseases. This study is aimed at detecting the expression levels of 5 lncRNAs in SLE patients and healthy controls and at exploring the relationship between expression levels and clinical symptoms and laboratory indicators.

Methods:

The design type of this study is a case-control study. A total of 76 SLE patients and 71 healthy controls were included in the first phase of the study. Real-time fluorescence quantitative polymerase chain reaction was used to detect the expression level of 5 kinds of lncRNAs including lnc7514, lnc0640, lncagf, nc3643, and lnc5150 in PBMCs of two groups of patients; the expression of lncRNAs in the case group and the control group was analyzed. We analyzed the differences in the expression levels of lncRNAs between case and control groups, and explored the association of expression levels with clinical manifestations and laboratory characteristics. SPSS23.0 was used to analyze the expression level and gene polymorphism results; the statistical analysis test level α = 0.05.

Results:

The expression level of lnc0640 in PBMCs of SLE patient group was higher than that of healthy control group (Z = -3.56, P = 0.03). However, lnc5150 was lower than in healthy controls (Z = -7.16, P < 0.001). lnc3643 expression levels were lower in SLE patients of SLE patients with pleurisy was lower than that of patients without pleurisy (Z = -2.44, P = 0.02). Low lnc3643 expression levels were observed in PBMCs with SLE patients with rash symptoms (Z = -2.75, P = 0.013). SLE expressed lower lnc3643 levels in PBMCs with SLE compared with those without pleurisy (Z = -2.42, P = 0.02). The above differences were statistically significant. Association analysis of lncRNA expression levels and clinical manifestations in SLE patients found that SLE was lower than those without rash or pleurisy (both P < 0.05); association analysis of lncRNA expression level and laboratory results found a negative correlation between lnc3643, lnc7514, and SLE disease activity score (SLEDAI-2K), blood sink (ESR), and C-reactive protein (CRP) (all P < 0.05).

Conclusions:

lnc0640 was overexpressed in PBMCs in SLE patients compared with healthy controls. lnc3643 was negatively correlated with SLEDAI, and expression levels were associated with SLE patients with arthritis, rash, and pleuritis.
Sujet(s)

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Polymorphisme génétique / ARN long non codant / Lupus érythémateux disséminé Type d'étude: Observational_studies / Risk_factors_studies Limites: Adult / Female / Humans / Male / Middle aged Pays/Région comme sujet: Asia Langue: En Journal: Comput Math Methods Med Sujet du journal: INFORMATICA MEDICA Année: 2022 Type de document: Article Pays d'affiliation: Chine

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Polymorphisme génétique / ARN long non codant / Lupus érythémateux disséminé Type d'étude: Observational_studies / Risk_factors_studies Limites: Adult / Female / Humans / Male / Middle aged Pays/Région comme sujet: Asia Langue: En Journal: Comput Math Methods Med Sujet du journal: INFORMATICA MEDICA Année: 2022 Type de document: Article Pays d'affiliation: Chine