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Alrefai AA, Abouelenin MAH, Salman MMA, Tawfeek GAE, Abbas MA. Expression profile of long-noncoding RNAs MIR31HG, NKILA, and PACER in systemic lupus erythematosus patients. Clin Biochem 2024; 126:110734. [PMID: 38395324 DOI: 10.1016/j.clinbiochem.2024.110734] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Revised: 01/09/2024] [Accepted: 02/20/2024] [Indexed: 02/25/2024]
Abstract
OBJECTIVES Growing evidence suggests that systemic lupus erythematosus (SLE), an organ-damaging systemic autoimmune illness, may be influenced by long-noncoding RNAs (lncRNAs). This study aimed to assess the relative expression of lncRNAs (MIR31HG, NKILA, and PACER) in patients with SLE to evaluate their role in the disease. DESIGN AND METHODS This study involved 70 patients with SLE and 70 apparently healthy control subjects. The expression levels of lnc-MIR31HG, NKILA, and PACER were quantified using real-time PCR. RESULTS Lnc-MIR31HG, NKILA, and PACER were significantly upregulated in SLE cases compared to controls (P < 0.001). ROC curve analysis revealed a 91.43 % sensitivity of PACER for the diagnosis of SLE at a cutoff point of > 1.46, followed by NKILA with 90 % sensitivity at a cutoff point of > 1.16, and MIR31HG with 85.71 % sensitivity at a cutoff point of > 1.43. MIR31HG had the highest sensitivity for the diagnosis of lupus nephritis (86.67 %) at a cutoff point of > 7.19, then NKILA with 80 % sensitivity at a cutoff point of > 8.12, and finally PACER expression with 73.33 % sensitivity at a cutoff point of > 18.19. Moreover, MIR31HG and NKILA revealed a significant correlation with albumin/creatinine ratio, estimated glomerular filtration rate, and the SLEDAI score. Regression analysis revealed the potential roles of MIR31HG, NKILA, and PACER expression as predictors for SLE. CONCLUSION An upregulated lncRNA panel (MIR31HG, NKILA, and PACER) could play a role in the pathogenesis and, hence, the predispositiontoSLE. MIR31HG and NKILA can serve as prognostic markers significantly linked with disease activity.
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Affiliation(s)
- Abeer A Alrefai
- Medical Biochemistry and Molecular Biology Department, Faculty of Medicine, Menoufia University, Menoufia, Egypt; Department of Biochemistry- Faculty of Medicine, Umm-Al Qura University, Saudi Arabia.
| | - Mai A H Abouelenin
- Medical Biochemistry and Molecular Biology Department, Faculty of Medicine, Menoufia University, Menoufia, Egypt.
| | - Maha M A Salman
- Department of Physical Medicine, Rheumatology and Rehabilitation, Faculty of Medicine, Menoufia University, Menoufia, Egypt.
| | - Gehan A E Tawfeek
- Department of Clinical Pathology, Faculty of Medicine, Menoufia University, Menoufia, Egypt
| | - Mona A Abbas
- Medical Biochemistry and Molecular Biology Department, Faculty of Medicine, Menoufia University, Menoufia, Egypt.
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Ruan L, Lei J, Yuan Y, Li H, Yang H, Wang J, Zhang Q. MIR31HG, a potential lncRNA in human cancers and non-cancers. Front Genet 2023; 14:1145454. [PMID: 37636269 PMCID: PMC10449471 DOI: 10.3389/fgene.2023.1145454] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Accepted: 07/31/2023] [Indexed: 08/29/2023] Open
Abstract
Long non-coding RNAs have recently attracted considerable attention due to their aberrant expression in human diseases. LncMIR31HG is a novel lncRNA that is abnormally expressed in multiple diseases and implicated in various stages of disease progression. A large proportion of recent studies have indicated that MIR31HG has biological functions by triggering various signalling pathways in the pathogenesis of human diseases, especially cancers. More importantly, the abnormal expression of MIR31HG makes it a potential biomarker in diagnosis and prognosis, as well as a promising target for treatments. This review aims to systematically summarize the gene polymorphism, expression profiles, biological roles, underlying mechanisms, and clinical applications of MIR31HG in human diseases.
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Affiliation(s)
- Luxi Ruan
- Department of Oncology, The Affiliated Jiangning Hospital with Nanjing Medical University, Nanjing, Jiangsu, China
| | - Jing Lei
- Department of Oncology, The Affiliated Jiangning Hospital with Nanjing Medical University, Nanjing, Jiangsu, China
| | - Yihang Yuan
- Department of Oncology, The Affiliated Jiangning Hospital with Nanjing Medical University, Nanjing, Jiangsu, China
| | - Huizi Li
- Department of Oncology, The Affiliated Jiangning Hospital with Nanjing Medical University, Nanjing, Jiangsu, China
| | - Hui Yang
- Department of Oncology, The Affiliated Jiangning Hospital with Nanjing Medical University, Nanjing, Jiangsu, China
| | - Jinyan Wang
- Department of Oncology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Quanan Zhang
- Department of Oncology, The Affiliated Jiangning Hospital with Nanjing Medical University, Nanjing, Jiangsu, China
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Wang Y, Wang Y, Liang D, Hu H, Li G, Meng X, Zhu B, Zhong W. MIR31HG polymorphisms are related to steroid-induced osteonecrosis of femoral head among Chinese Han population. BMC Musculoskelet Disord 2022; 23:836. [PMID: 36057712 PMCID: PMC9440494 DOI: 10.1186/s12891-022-05785-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Accepted: 08/30/2022] [Indexed: 11/11/2022] Open
Abstract
Backgrounds MIR31 host gene (MIR31HG) polymorphisms play important roles in the occurrence of osteonecrosis. However, the association of MIR31HG polymorphisms with the risk of steroid-induced osteonecrosis of the femoral head (SONFH) remains unclear. In this study, we aimed to investigate the correlation between MIR31HG polymorphisms and SONFH susceptibility in the Chinese Han population. Methods A total of 708 volunteers were recruited to detect the effect of seven single nucleotide polymorphisms (SNPs) in the MIR31HG gene on SONFH risk in the Chinese Han population. Genotyping of MIR31HG polymorphisms was performed using the Agena MassARRAY platform. The odds ratio (OR) and 95% confidence interval (95% CI) were used to evaluate the correlation between MIR31HG polymorphisms and SONFH risk using logistic regression model. Results According to the results of genetic model, rs10965059 in MIR31HG was significantly correlated with the susceptibility to SONFH (OR = 0.56, p = 0.002). Interestingly, the stratified analysis showed that rs10965059 was associated with the reduced risk of SONFH in subjects aged > 40 years (OR = 0.30, p < 0.001) and male populations (OR = 0.35, p < 0 .001). Moreover, rs10965059 was associated with the reduced risk of bilateral SONFH (OR = 0.50, p = 0.002). Finally, multi-factor dimension reduction (MDR) results showed that the combination of rs1332184, rs72703442, rs2025327, rs55683539, rs2181559, rs10965059 and rs10965064 was the best model for predicting SONFH occurrence (p < 0.0001). Conclusion The study indicated that rs10965059 could be involved in SONFH occurrence in the Chinese Han population, which might provide clues for investigating the role of MIR31HG in the pathogenesis of SONFH. Supplementary Information The online version contains supplementary material available at 10.1186/s12891-022-05785-w.
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Affiliation(s)
- Yuan Wang
- Department of Joint Surgery, Affiliated Hospital of Weifang Medical University, #2428 Yuhe Road, Weifang, 261031, Shandong, China
| | - Yexin Wang
- Department of Joint Surgery, Affiliated Hospital of Weifang Medical University, #2428 Yuhe Road, Weifang, 261031, Shandong, China
| | - Da Liang
- Department of Joint Surgery, Affiliated Hospital of Weifang Medical University, #2428 Yuhe Road, Weifang, 261031, Shandong, China
| | - Hongtao Hu
- Department of Joint Surgery, Affiliated Hospital of Weifang Medical University, #2428 Yuhe Road, Weifang, 261031, Shandong, China.,Department of Spine Surgery, Affiliated Hospital of Weifang Medical University, Weifang, Shandong, 261031, China
| | - Guangwei Li
- Department of Joint Surgery, Affiliated Hospital of Weifang Medical University, #2428 Yuhe Road, Weifang, 261031, Shandong, China
| | - Xiaoguang Meng
- Department of Joint Surgery, Affiliated Hospital of Weifang Medical University, #2428 Yuhe Road, Weifang, 261031, Shandong, China
| | - Bing Zhu
- Department of Joint Surgery, Affiliated Hospital of Weifang Medical University, #2428 Yuhe Road, Weifang, 261031, Shandong, China
| | - Wei Zhong
- Department of Joint Surgery, Affiliated Hospital of Weifang Medical University, #2428 Yuhe Road, Weifang, 261031, Shandong, China.
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