Correlation Between Expression of Serum LncRNA TUG1 and MiR-29a-3p and the Severity and Prognosis in Patients with Severe Pneumonia

Zhaozhao LIU; Jun ZHANG; Xiaobo FAN

Article Contents

Article Navigation > Journal of Kunming Medical University > 2025 > Accepted Manuscript

Zhaozhao LIU, Jun ZHANG, Xiaobo FAN. Correlation Between Expression of Serum LncRNA TUG1 and MiR-29a-3p and the Severity and Prognosis in Patients with Severe Pneumonia[J]. Journal of Kunming Medical University.

Citation:

Zhaozhao LIU, Jun ZHANG, Xiaobo FAN. Correlation Between Expression of Serum LncRNA TUG1 and MiR-29a-3p and the Severity and Prognosis in Patients with Severe Pneumonia[J]. Journal of Kunming Medical University.

Citation:

PDF( 951 KB)

Correlation Between Expression of Serum LncRNA TUG1 and MiR-29a-3p and the Severity and Prognosis in Patients with Severe Pneumonia

1.
Department of Respiratory Medicine，The Fourth Affiliated Hospital of Nanjing Medical University，Nanjing Jiangsu 210000
2.
Clinical Laboratory，Southeast University，Nanjing Jiangsu 210009，China

Received Date: 2025-02-12

Abstract

Abstract

Objective To analyze the correlation between the expression levels of serum long non-coding RNA taurine up-regulated gene 1 （lncRNA TUG1） and microRNA - （miR） -29A-3p and the severity and prognosis of the patients with severe pneumonia （SP） . Methods A total of 160 SP patients who received treatment in the Fourth Affiliated Hospital of Nanjing Medical University from March 2022 to March 2024, were enrolled as the study subjects. Basic information such as age, gender, and underlying diseases were collected. The patients were stratified into low-risk （n = 20）, moderate-risk （n = 58）, and high-risk groups （n = 82） based on the pneumonia severity index （PSI） score. The expression levels of lncRNA TUG1 and miR-29a-3p in serum using quantitative real-time polymerase chain reaction （qRT-PCR） . The patients were divided into unfavorable and favorable outcome groups based on their 28-day post-ICU admission outcomes. Multivariate ordinal and multivariable Logistic regression models were used to analyze the influencing factors of the disease severity and prognosis, adjusted for confounders. The values of serum lncRNA TUG1 and miR-29a-3p in predicting disease condition and prognosis were represented by receiver operating characteristic （ROC） curves, and correlation analysis was performed using the Pearson method; survival analysis was performed by Kaplan-Meier method. Results The high-risk group had lower oxygenation index and lncRNA TUG1 than the moderate-risk and low-risk groups, and higher interleukin （IL）-6, tumor necrosis factor （TNF）-α, C-reactive protein, and miR-29a-3p than the moderate-risk and low-risk groups （P < 0.05）; the moderate-risk group had lower lncRNA TUG1 than the low-risk group, and higher miR-29a-3p than the low-risk group （P < 0.05）. Compared to the favorable group, the unfavorable group had lower oxygenation index and lncRNA TUG1, and higher IL-6, TNF-α, C-reactive protein, procalcitonin, and miR-29a-3p （P < 0.05）. Correlation analysis indicated that lncRNA TUG1 was positively correlated with the oxygenation index, while IL-6, TNF-α, C-reactive protein, and miR-29a-3p were all negatively correlated. miR-29a-3p was negatively correlated with the oxygenation index and positively correlated with IL-6, TNF-α, and C-reactive protein （P < 0.05）. The area under the curve （AUC） values of the combination of lncRNA TUG1 and miR-29a-3p for predicting disease condition and prognosis were 0.945 and 0.935, respectively, which were higher than those of single prediction （P < 0.05）. Logistic analysis showed that IL-6, TNF-α, and C-reactive protein were all influencing factors for the condition and prognosis of patients with SP. After multiple adjustments, lncRNA TUG1 and miR-29a-3p were both influencing factors for the condition and prognosis of patients with SP （P < 0.05）. Kaplan-Meier analysis showed that the patients with high lncRNA TUG1 expression had significantly higher 28-day survival rate （68/93, 73.12%） compared to those with low expression （31/67, 46.27%）, while the patients with high miR-29a-3p expression had lower 28-day survival rate （21/62, 33.87%） compared to those with low miR-29a-3p expression （78/98, 79.59%）. Conclusion Low expression of serum lncRNA TUG1 combined with high expression of miR-29a-3p in patients with SP may be reliable predictors for high-risk SP and poor prognosis.
- Severe pneumonia,
- Long non-coding RNA taurine up-regulated gene 1,
- MicroRNA-29a-3p,
- Disease condition,
- Prognosis

FullText(HTML)

References(22)

References

[1]	Taşar S, Fidancı İ, Bulut İ, et al. Role of serum endocan levels in children with bacterial and viral pneumonia: a prospective, case-control study[J]. Pediatr Allergy Immunol Pulmonol, 2022, 35(4): 145-152. doi: 10.1089/ped.2022.0110
[2]	宾松涛, 李明, 谭力, 等. 儿童坏死性肺炎46例临床分析[J]. 昆明医科大学学报, 2021, 42(1): 124-129.
[3]	何晨晗, 师莹莹, 郑天元, 等. 血必净注射液联合利奈唑胺治疗重症肺炎有效性及安全性的Meta分析[J]. 中草药, 2023, 54(14): 4615-4622.
[4]	Ali M S, Singh J, Alam M T, et al. Non-coding RNA in idiopathic interstitial pneumonia and Covid-19 pulmonary fibrosis[J]. Mol Biol Rep, 2022, 49(12): 11535-11546. doi: 10.1007/s11033-022-07820-4
[5]	Chi X, Guo Y, Zhang L, et al. Long non-coding RNA GAS5 regulates th17/treg imbalance in childhood pneumonia by targeting miR-217/STAT5[J]. Cell Immunol, 2021, 364(5): 104357.
[6]	Gimbel A T, Koziarek S, Theodorou K, et al. Aging-regulated TUG1 is dispensable for endothelial cell function[J]. PLoS One, 2022, 17(9): e0265160. doi: 10.1371/journal.pone.0265160
[7]	Qiu N, Xu X, He Y. LncRNA TUG1 alleviates sepsis-induced acute lung injury by targeting miR-34b-5p/GAB1[J]. BMC Pulm Med, 2020, 20(1): 49-56. doi: 10.1186/s12890-020-1084-3
[8]	Zhang X, Xie J, Sun H, et al. miR‑29a‑3p regulates the epithelial‑mesenchymal transition via the SPARC/ERK signaling pathway in human bronchial epithelial cells[J]. Int J Mol Med, 2021, 48(3): 171-183. doi: 10.3892/ijmm.2021.5004
[9]	周丹, 黄胜, 胡雅萍, 等. 肺结核并发真菌感染CT影像特征及miR-29a-3p、miR-223-3p、IFN-γ、IL-23R水平[J]. 中华医院感染学杂志, 2024, 34(19): 2947-2951.
[10]	Askari N, Hadizadeh M, Rashidifar M. A new insight into sex-specific non-coding RNAs and networks in response to SARS-CoV-2[J]. Infect Genet Evol, 2022, 97(2): 105195.
[11]	中华医学会, 中华医学会杂志社, 中华医学会全科医学分会, 等. 成人社区获得性肺炎基层诊疗指南(2018年)[J]. 中华全科医师杂志, 2019, 18(2): 117-126.
[12]	Wang D, Willis D R, Yih Y. The pneumonia severity index: Assessment and comparison to popular machine learning classifiers[J]. Int J Med Inform, 2022, 163(1): 104778.
[13]	Torres A, Cilloniz C, Niederman M S, et al. Pneumonia[J]. Nat Rev Dis Primers, 2021, 7(1): 25-29. doi: 10.1038/s41572-021-00259-0
[14]	Lv Z, Jiang R, Hu X, et al. Dysregulated lncRNA TUG1 in different pulmonary artery cells under hypoxia[J]. Ann Transl Med, 2021, 9(10): 879-882. doi: 10.21037/atm-21-2040
[15]	Tayel S I, El-Masry E A, Abdelaal G A, et al. Interplay of lncRNAs NEAT1 and TUG1 in incidence of cytokine storm in appraisal of COVID-19 infection[J]. Int J Biol Sci, 2022, 18(13): 4901-4913. doi: 10.7150/ijbs.72318
[16]	Gong K, Xu J, Tang J. Diagnostic and prognostic value of deregulated circulating long non-coding RNA TUG1 in elderly patients with severe pneumonia[J]. Inflammation, 2023, 46(1): 313-321. doi: 10.1007/s10753-022-01735-9
[17]	Heydari R, Tavassolifar M J, Fayazzadeh S, et al. Long non-coding RNAs in biomarking COVID-19: a machine learning-based approach[J]. Virol J, 2024, 21(1): 134-145. doi: 10.1186/s12985-024-02408-9
[18]	Wang N, Li P, Liu J, et al. MiR-29a-3p promotes nasal epithelial barrier dysfunction via direct targeting of CTNNB1-VCL module in allergic rhinitis[J]. Int Immunopharmacol, 2023, 120(7): 110325.
[19]	Xu XJ, Liu W, Liland S. MicroRNA-29a-3p accelerates inflammatory damage in neonatal pneumonia via targeting krüppel-like factor 4[J]. Iran J Allergy Asthma Immunol, 2023, 22(5): 440-451.
[20]	张瑜荣, 向永红, 庞宗东, 等. 血清LncRNA TUG1、miR-29a-3p表达与特发性肺纤维化患者病变程度、肺功能及PI3K/Akt/mTOR信号通路的关系研究[J]. 现代生物医学进展, 2024, 24(24): 4766-4768+4688.
[21]	Zhong Q, Wang L, Qi Z, et al. Long non-coding RNA TUG1 modulates expression of elastin to relieve bronchopulmonary dysplasia via sponging miR-29a-3p[J]. Front Pediatr, 2020, 8(3): 573099.
[22]	Song T, Wang P, Xin L. LncRNA TUG1 Contributes to hypoxia-induced myocardial cell Injury through downregulating miR-29a-3p in AC16 cells[J]. J Cardiovasc Pharmacol, 2020, 76(5): 533-539. doi: 10.1097/FJC.0000000000000906

Relative Articles(20)

Relative Articles

[1]	Yan ZHANG, Yun TANG. The Relationship between PBEF，KLF2，IL-26 and The Condition and Prognosis of Severe Pneumonia in Children. Journal of Kunming Medical University,
[2]	Binbin MA, Shaoxiong ZHANG, Yongli GAO. Bioinformatics-based Investigation of the Prognostic Value of ESCRT-related Genes in Osteosarcoma Assessment. Journal of Kunming Medical University, doi: 10.12259/j.issn.2095-610X.S20250406
[3]	Yang LI, Wen JIANG, Rong LIU, Chaomin LIU, Longyu XU, Wenjing ZHANG. Bioinformatics-based Identification of Cuproptosis Genes Associated with Prognosis and Immune Microenvironment in Lung Cancer. Journal of Kunming Medical University, doi: 10.12259/j.issn.2095-610X.S20250405
[4]	Lingyun BAO, Mingpan Li. The Value of Lung Ultrasound Score and Diaphragm Ultrasound Combined with Routine Indicators in Predicting ARDS in Children with Severe Pneumonia. Journal of Kunming Medical University, doi: 10.12259/j.issn.2095-610X.S20250317
[5]	Yuhua XIAO, Lingxin YAN, Jidong CAO, Jinhua CHAI. Expression of LMO2 and CAPRIN1 in Pancreatic Cancer Tissues and Their Correlation with Prognosis. Journal of Kunming Medical University,
[6]	Zuohua WANG, Rongfeng WU, Xiaoyan ZHANG, Huiping WANG. Relationship of Serum IL-27，CysC，GAPDH Antibodies with Disease Severity and Prognosis in Children with Neuromyelitis Optica Spectrum Disorder. Journal of Kunming Medical University, doi: 10.12259/j.issn.2095-610X.S20250718
[7]	Zhaoyue ZHANG, Fengyuan LYU, Qianqian SHU, Ying YANG. Correlation Analysis of Serum IL-37 and NLRP3 Levels with Disease Severity and Their Joint Predictive Value for Prognosis in COPD Patients with SIRS. Journal of Kunming Medical University, doi: 10.12259/j.issn.2095-610X.S20250614
[8]	Jia GUO, Ruying JI, Yanhui LU, Bin LI, Kang XU. The Expression of Serum MiR-29b，MiR-199a，MiR-19a-3p in Patients with Acute Cerebral Infarction And Their Relationship with Disease Severity And Prognosis. Journal of Kunming Medical University, doi: 10.12259/j.issn.2095-610X.S20250708
[9]	Hongyan CUI, Shuyang ZHANG, Wenwen ZHOU. Application of Serum STAT3，HDAC2，and Del-1 Levels in the Evaluation of Disease Severity and Prognosis of Children with Respiratory Syncytial Virus Pneumonia. Journal of Kunming Medical University, doi: 10.12259/j.issn.2095-610X.S20251116
[10]	Xiaowei LI, Kai YANG, Fanrong WANG, Xu LIU. Evaluative Value of Serum TNFSF14，TLR7，and sCD14-ST Levels in Assessing Disease Severity and Prognosis of Respiratory Syncytial Virus Infection-Related Pneumonia in Children. Journal of Kunming Medical University,
[11]	Lizhu ZHAO, Ying DONG, Yue DENG, Lihua YANG. Correlation between Epithelial Cell Related Genes and Prognosis of Patients with Ovarian Cancer based on Single Cell Sequencing. Journal of Kunming Medical University, doi: 10.12259/j.issn.2095-610X.S20240402
[12]	Junjie NIU, Wenjuan JI, Zhuaizhuai YU. Correlation between Gut Microbiota，Serum ET，PCT Levels with the Severity and Prognosis of Sepsis. Journal of Kunming Medical University, doi: 10.12259/j.issn.2095-610X.S20240420
[13]	Yang ZENG, Qian WANG, Maoliang TIAN. The Effect of Bronchoalveolar Lavage Combined with Low Molecular Weight Heparin on Patients with Severe Pneumonia. Journal of Kunming Medical University, doi: 10.12259/j.issn.2095-610X.S20240523
[14]	Xinyi MEN, Jing ZHAO, Yongchun SHEN, Hui JI, Xiuxia WANG. The Relationship between Peripheral Blood Immunoglobulin，Erythrocyte Sedimentation Rate，Homocysteine and the Degree of Central Nervous System Vasculitis in Children and Their Influence on Prognosis. Journal of Kunming Medical University, doi: 10.12259/j.issn.2095-610X.S20241217
[15]	Xiaohua LU, Hongxin YUAN. The Analysis of the Correlation between BTLA，CTLA-4 Gene Polymorphisms and the Efficacy and Prognosis of TACE Combined Targeted Therapy for Liver Cancer. Journal of Kunming Medical University, doi: 10.12259/j.issn.2095-610X.S20230927
[16]	Le ZHANG, Yuanqiang HE, Jiawei XIA, Shu LIU, Bin BAI, Xing LIU. Effect of Early Interventional Therapy with Bronchoscopic Alveolar Lavage on AIDS Patients Complicated with Severe Pneumonia. Journal of Kunming Medical University, doi: 10.12259/j.issn.2095-610X.S20221120
[17]	Juan-juan WANG, Yu-qing CHEN, Qian DENG, Jian GAO. The Correlation between Myocardial Enzymes and the Severity of Ketoacidosis in Children with Type 1 Diabetes. Journal of Kunming Medical University, doi: 10.12259/j.issn.2095-610X.S20210129
[18]	Zheng-gao FU, Yu CHEN, Yong LIANG, Jun-xu XU, Ting-shi WU, Jin-xiang HAO. Changes and Clinical Significance of Plasma sTREM-1，sFLT-1 and SOD Levels in Patients with Severe Pneumonia. Journal of Kunming Medical University, doi: 10.12259/j.issn.2095-610X.S20211006
[19]	Gao Wei Ling , Hu Yu Ping , Jia Ying Mao , Jiang Min , Xie Ai Ling , Xie Jia , Wu Ya Kun . . Journal of Kunming Medical University,
[20]	Xie Zuo Zhou . . Journal of Kunming Medical University,