Abstract
Objective(s):
This study aimed to research the roles of miR-139, miR-221, miR-200c, miR-145, miR-223, miR-424, and miR-377 in endoplasmic reticulum stress (ERS), oxidative stress (OS), fibrosis, and apoptosis processes in chronic pancreatitis (CP) rat model.
Materials and Methods:
Fourteen rats were randomized into 2 groups (Group 1, sham group (n=7) and Group 2, CP group (n=7)). TGF-beta and malondialdehyde concentrations were measured in rat blood samples. qRT-PCR was used to investigate the expression levels of 7 miRNAs in the pancreas tissues. The correlations of mRNA undergoing significant changes with inflammation (TNF-α, IL-6), ERS (Ire1-α, Perk), apoptosis (Caspase 3, Bcl-2), OS (Cat, Gpx1), and fibrosis (α-Sma) were investigated.
Results:
The biochemical results and histopathological scores in Group 1 were statistically significantly high compared with Group 2 (P<0.5). Expression levels of seven miRNAs (miR-200c, miR-145, miR-223, miR-424) were significantly higher, while miR-139 was significantly lower in CP. In our study, we found that miR-200c, miR-145, and miR-139 may contribute to CP progression and cellular processes based on the correlation between ERS, OS, apoptosis, and inflammation with miRNA expression levels.
Conclusion:
miR-200c, miR-145, miR-139, miR-223, and miR-424 play roles in the CP model. They may be used as candidate biomarkers for the CP process.
Key Words: Apoptosis, Chronic pancreatitis, MicroRNAs, Oxidative stress, Quantitative real-time - polymerase chain reaction, Rat
Introduction
Chronic pancreatitis (CP) is a fibroinflammatory disease-inducing parenchymal injury through intensification of recurrent pancreatitis attacks with observed exocrine and endocrine failure. Patients with CP are faced with short life expectancy due to frequent occurrence of other systemic diseases and a high chance of developing pancreas cancer (1). Genetic and environmental factors are included in the pathogenesis of CP. Currently, though there are studies illuminating the physiopathology of CP, the molecular mechanisms are not sufficiently understood (2, 3).
MicroRNAs (miRNA) are single change, encoding, endogenously-synthesized short RNA with nearly 18-24 nucleotide length. MiRNAs are deregulated in many diseases and cancer types and affect targeted genes (4, 5).
MiRNAs are very effective biomarkers in a variety of diseases, cancer, and for various cellular functions (6). Mature miRNAs are not complex, do not undergo known modification, have easily detectable expression levels, have tissue-specific expression profiles and arrays have high preservation levels between human and model organisms, in addition to very high stability, which makes miRNA ideal biomarkers (7, 8).
Considering miRNA research, certain miRNAs are proposed to be associated with inflammation, oxidative stress, and endoplasmic reticulum stress. These stages are present in the CP development process, though there are insufficient numbers of miRNA studies about CP (9).
Oxidative stress increases oxidative injury by reducing anti-oxidant capacity in CP patients and contributes to development of CP (10). Similarly, endoplasmic reticulum stress increases in CP situations and induces pancreas injury via the pathologic calcium signal pathway (11). Oxidative stress and endoplasmic reticulum stress are important pathological mechanisms that require research in CP.
In this study, we aimed to research the correlation between the variations in expression levels of miRNAs, identified with the in silico method, miR-139, miR-221, miR-200c, miR-145, miR-223, miR-424, and miR-377 with inflammation, endoplasmic reticulum, oxidative stress, and apoptosis progression in the CP process. Additionally, we aimed to investigate whether the miRNAs studied in an experimental CP rat model were new candidate biomarkers for disease diagnosis and treatment or not.
Materials and Methods
Rat groups
This study was conducted with the approval of the Hamidiye Local Ethics Committee for Animal Experiments of the University of Health Sciences, Turkey. Fourteen Sprague Dawley male rats weighing 250–300 g were used. The rats were housed in a 12-hour day-night cycle in cages kept at nearly 24 °C. The rats had free access to water and food, with food intake stopped 12 hr before the sacrifice of animals. The animals were randomized into two groups.
Group 1: The sham group (n=7). One cubic centimeter of physiological serum was injected IP twice per day, 3 days per week for 6 weeks.
Group 2: The CP group (n=7). To induce CP, 50 mcg/kg caerulein was injected IP, twice per day at one-hour intervals, 3 days per week (Monday, Wednesday, Friday) for 6 weeks.
Biochemical investigation
Twelve hours after the final injections, rats were sacrificed under anesthesia and intracardiac blood samples were taken. The malondialdehyde (MDA) and transforming growth factor-beta (TGF-β) levels in blood samples were measured colorimetrically/fluorometrically with solid-phase sandwich enzyme-linked immunosorbent assay (ELISA) kits (Bioassay Technology Laboratory, USA) to determine oxidative stress. Measurements were completed according to the manufacturer’s protocols.
Histopathological investigation
After sacrifice, the pancreas tissue was removed from rats, fixed in 10% formaldehyde, and then submerged in paraffin. Tissues were analyzed with a light microscope after hematoxylin-eosin staining to assess pancreas injury. Pathologic samples were assessed with a scoring system using inflammation and atrophy, and fibrosis scores for pancreas tissue were scored from 0 to 3 after making a modification (12).
RNA isolation
RNA isolation was performed from the pancreas tissue samples using MasterPure™ Complete DNA and RNA Purification Kit (Lucigen, USA) according to the manufacturer’s protocol. The purity and concentration values for RNA samples were measured with a Denovix DS-11 (DeNovix Inc., Wilmington, DE) spectrophotometer.
miRNA selection and qRT-PCR analysis
After in silico analysis, miRNAs were selected using software programs such as DIANA TOOLS - mirPath v.3, miRWalk, miRPathDB, HMDD v3.0, followed by literature review. During these selections, it was preferred that the expression levels of miRNAs were changed in inflammation, pancreatic cancer, and/or pancreatitis.
The selected miRNAs’ (miR-139, miR-221, miR-200c, miR-145, miR-223, miR-424, and miR-377) in pancreatic tissue expression levels were analyzed with a Light Cycler Roche 480 II device using Taqman primers and TaqMan Universal PCR Master Mix (Thermo Fisher Scientific, USA). RNU43 was used as an internal control. Samples were studied with three repeats.
cDNA and qRT-PCR
RNA samples obtained from tissues in CP and sham groups had cDNA synthesis completed to determine inflammation levels (TNF-α and IL-6), endoplasmic reticulum stress (Ire1-α and Perk), apoptosis levels (Casp3, Bcl-2), oxidative stress levels (Cat and Gpx1), and fibrosis (α-Sma). cDNA analysis was performed in line with the manufacturer’s instructions with a Transcriptor High Fidelity cDNA (Roche, Switzerland). Quantitative analysis of the expression levels of the stated genes was completed with real-time polymerase chain reaction using Roche’s SYBR Green Master Mix and a LightCycler480-II PCR (Roche, Switzerland). SYBR Green qRT-PCR was performed at 1 cycle of 95 °C for 5 min followed by 40 cycles of 95 °C for 10 sec, and 60 °C for 1 min. Gapdh was used as internal control and samples were studied with three repeats. The list of primers used in the study is given in Table 1.
Table 1.
Primer sequences used in qRT-PCR analysis
| Gene Name | Forward | Reverse |
|---|---|---|
| IRE1- 𝛼 | CCTGAGGAATTACTGGCTTCTC | TCCAGCATCTTGGTGGATG |
| Perk | CGCTGCTGCTGCTGTTCCTG | GCAATGCCTCGGCGTCTTCC |
| Casp-3 | ACTGGAAAGCCGAAACTCTTC | AGTTCCACTGTCTGTCTCAATA |
| Bcl-2 | CGGGAGAACAGGGTATGA | CAGGCTGGAAGGAGAAGAT |
| Catalase | CAGATGAAGCAGTGGAAGGA | CAGGTGAGTTTGTGGGTTTC |
| Gpx1 | CAGTTCGGACATCAGGAGAA | AGGGCTTCTATATCGGGTTC |
| TNF- 𝛼 | CCAGGAGAAAGTCAGCCTCCT | TCATACCAGGGCTTGAGCTCA |
| IL-6 | TCCTACCCCAACTTCCAATGCTC | TTGGATGGTCTTGGTCCTTAGCC |
| Gapdh | TATCGGACGCCTGGTTAC | CTGTGCCGTTGAACTTGC |
| 𝛼 -Sma | TTCCAGCCTTCCTTTATCG | TTGGCGTACAGGTCCTTC |
Statistical analysis
Relative quantitation analysis for the results of real-time PCR experiments was performed by using the delta-delta-CT method. The data analysis was done by SPSS 20. P-values less than 0.05 were considered statistically significant. For the expression of the variations in the dataset, mean and standard deviation were calculated. The observations were normally distributed among all gene groups. For this reason, the means of two independent groups were compared by using the independent-samples t-test and P-values were calculated from this test. A P-value of 0.05 or below was accepted as statistically significant. In addition, Pearson’s correlation coefficient was used to evaluate the relationship between genes and miRNAs. The P-values for correlation coefficients were also calculated and reported in the table.
Results
In our study, the MDA and TGF-β values in the CP group were observed to increase compared with the sham group (Table 3a). At the same time, histopathologic investigation showed the presence of inflammation, atrophy, and fibrosis in the CP group (Figure 1), and scores were identified to be significantly high compared with the sham group. The histopathologic appearance of the groups is shown in Table 3b.
Table 3.
Distribution of biochemical and histopathological scores of study groups
| Group 1 (CP) | Group 2 (S) | p | |||
|---|---|---|---|---|---|
| a.Biochemical results | MDA (nmol/ml) | 2.66±0.5 | 1±0.4 | P<0.1** | |
| TGF-β (ng/L) | 260.23±13.2 | 150.12±8 | P<0.1** | ||
| b.Pathology results | None | 0 | 7 | P<0.1** | |
| Mild | 1 | 0 | |||
| Moderate | 3 | 0 | P<0.5* | ||
| Severe | 3 | 0 | P<0.5* | ||
A correspondence analysis was applied to determine which histopathological scores appeared more in which group. The difference between CP and sham group was significant *P<0.5, **P<0.1
Figure 1.
Hematoxylin and eosin (H&E) staining of pancreatic tissue samples. (a) Sham (pancreatic tissue with normal configuration and acinar structure) HE x100, (b) chronic pancreatitis (intense inflammation, glandular atrophy, and glandular edema in pancreatic acinar structures with adjacent fibrosis) HE x100
According to our PCR results, the miR-139 expression levels in the pancreas tissue of the CP group were reduced by a clear amount compared with the sham group (P=0.003). Contrary to this, the expression levels of miR-200c (P=0.03), miR-145 (P=0.03), miR-223 (P=0.01), and miR-424 (P=0.005) were clearly increased compared with the sham group (Figure 2). When CP and sham groups are compared, there were no significant changes identified in miR-221 and miR-377 expression levels (P<0.5).
Figure 2.
Relative expression levels of miR-223, miR-424, miR-145, miR-200c, and miR-139 in CP compared with the control, Data are expressed as relative fold change among data sets and each was performed in triplicate

CP: Chronic pancreatitis; S: Sham. ∗P<0.5, ∗∗P<0.1
DIANA-miRPath v.3, miRWalk, miRPathDB, and HMDD v3.0 programs were used to identify miRNA-miRNA interactions on specific pathways. The 7 miRNAs chosen based on in silico analyses were identified to play roles in ECM-receptor interaction, pancreas cancer, endoplasmic reticulum protein process, and many known pathways (Table 2).
Table 2.
KEGG pathway analysis of selected miRNAs
| KEGG pathway | P -value | # miRNA |
|---|---|---|
| ECM-receptor interaction | 6,84E+10 | 6 |
| Hippo signaling pathway | 2,72E+01 | 7 |
| Pathways in cancer | 1,65E+05 | 7 |
| Pancreatic cancer | 3,10E+06 | 5 |
| Protein processing in the endoplasmic reticulum | 0.0032 | 7 |
| Signaling pathways regulating pluripotency of stem cells | 4,45E+06 | 7 |
| PI3K-Akt signaling pathway | 0.019 | 7 |
| Regulation of actin cytoskeleton | 0.001 | 7 |
| TGF-beta signaling pathway | 3,30E+06 | 6 |
The presence of inflammation in tissues with the induced CP model was tested with qRT-PCR variations in TNF-α and IL-6 gene expressions. As a result, TNF-α levels increased in the CP group (P=0.01), and additionally, IL-6 levels were identified to increase in the group with CP (P=0.02). In the CP group, Ire1α and Perk gene expression levels were observed to increase compared with the sham group (P=0.01 and P=0.06, respectively).
The variation in apoptosis levels was evaluated with qRT-PCR analysis of Casp3 and Bcl-2 genes. In line with the results, the CP group was identified to have a 2.5-time reduction in Casp3 and nearly 2-time reduction in Bcl-2 compared with the sham group (P= 0.02, P= 0.007). In the CP group, the catalase and α-Sma expression levels were clearly increased and Gpx1 gene expression level was clearly reduced compared with the sham group (P=0.007, P=0.01, and P=0.009, respectively). The correlation analysis results between miR-223, miR-424, miR-145, miR-200c, and miR-139 with Bcl-2, Casp3, Cat, Gpx1, IL6, TNF-α, α-Sma, Ire1α, and Perk gene levels are given in Table 4. Results show a positive correlation between miR-200c and miR-145 expressions with endoplasmic reticulum stress, oxidative stress, apoptosis, and inflammation levels, while there was a negative correlation with miR-139. Apart from miR-424, all miRNAs were associated with fibrosis, while miR-424 was only associated with genes for apoptosis and endoplasmic reticulum stress, and miR-223 was not identified to be significantly associated with endoplasmic reticulum stress.
Table 4.
Correlation analysis between miR-223, miR-424, miR-145, miR-200c, miR-139 and Bcl-2, Casp3, Cat, Gpx1, IL6, TNF-α, α-Sma, IRE1-α and Perk in CP and sham groups of rats (R values)
| Bcl-2 | Casp3 | Cat | Gpx1 | IL6 | TNF- | -Sma | Ire1- | Perk | |
|---|---|---|---|---|---|---|---|---|---|
| miR-139 | -0,533 | -0,750** | -0,513 | -0,603* | -0,583 | -0,714* | -0,665* | -0,593 | -0,675* |
| miR-200c | 0,667* | 0,836** | 0,580* | 0,792** | 0,733** | 0,787** | 0,623* | 0,661* | 0,818* |
| miR-145 | 0,575 | 0,893** | 0,712* | 0,944*** | 0,775** | 0,776** | 0,699* | 0,642* | 0,786* |
| miR-223 | 0,517 | 0,632* | 0,532 | 0,663* | 0,452 | 0,658* | 0,651* | 0,585 | 0,595 |
| miR-424 | 0,256 | 0,713* | 0,410 | 0,726* | 0,466 | 0,468 | 0,329 | 0,338 | 0,531 |
∗P<0.5, ∗∗P<0.1, and ∗∗∗P<0.01
Figure 3.
Relative expression levels of Bcl-2, Casp3, Cat, Gpx1, IL6, TNF-α, α-Sma, Ire1-α, and Perk in CP versus control. Data are expressed as relative fold change among data sets and each was performed in triplicate
CP: Chronic pancreatitis, S: Sham. ∗P<0.5, ∗∗P<0.1
Discussion
CP is a chronic disease characterized by fibrosis developing after long-term inflammation affecting pancreas functions irreversibly. The search for explanations of the physiopathology of this disease with high morbidity and causative treatments continues in the present day (13). In our study inducing a CP model with caerulein, parameters showing variations at biochemical, histopathologic, and molecular levels were assessed and we investigated the miRNA that we think plays roles in the physiopathology of the CP process after in silico analyses. MiRNA play a role in homeostasis of cellular activities like cellular development, differentiation, and cell death. Changes in the expression of miRNA were shown to be associated with pathogenesis in many diseases including inflammatory diseases and cancer (5, 7).
In this study, of the chosen miRNAs, miR-200c, miR-145, miR-223, and miR-424 levels were significantly increased in the CP group compared with the sham group, while the miR-139 level was reduced. These results show that these miRNAs may act as biomarkers for CP diagnosis. The results show that the deregulation of miR-200c, miR-145, and miR-139 in CP is effective on endoplasmic reticulum stress, oxidative stress, apoptosis, and inflammation. The variations in expression of miR-223 and miR-424 in the presence of CP were shown to play roles in apoptosis and endoplasmic reticulum processes. Previous studies showed that miR-145 clearly increased in the presence of oxidative stress in HUVEC cell lines (14). It is reported that apoptosis, inflammation, and oxidative stress are triggered by the miR-145-5p/NF-κB pathway in human pulmonary microvascular endothelial cells (15). On the other hand, miR-139 was stated to cause significant reductions in oxidative stress, destroy unrepaired DNA damage and suppress apoptosis in many chronic diseases and cancer (16-18). For example, Deng et al. identified a panel of eight-miRNAs that would serve as early diagnostic biomarkers for pancreatic cancer (19). In that mentioned study, they showed that miR-139 significantly decreased in the case of pancreatic cancer. Another study reported that in the presence of airway inflammation in asthma, hsa-miR-223 regulated the TLR/Th17 signal and endoplasmic reticulum (ER) stress (20). Additionally, miR-223 was reported to be intensely expressed in the ER membrane of human brain tissue (21). There are studies reporting that miR-223, miR-200c, miR-145, miR-139, and miR-424 play roles in cell apoptosis and regulate apoptosis in pancreatic cancer (22-26).
In a CP mouse model induced with high-dose ethanol, there were increases in ER stress (ATF6, PERK, eiF-2), oxidation of proteins showing oxidative stress, and iNOS expressions (27). Clinical and animal studies of CP reported the increase in chronic oxidative stress was responsible for clinical symptoms and histologic findings (28). miR-200b and miR-200c expressions in serum exosomes in patients with pancreatic ductal adenocarcinoma were shown to be much higher compared with healthy controls and patients with CP (29).
In the literature, there are limited numbers of studies about potential biomarkers to be used for CP, and the number of studies investigating the role of miRNA in this topic is inadequate (30). In the literature, our study is the first to induce an experimental CP model in rats and research the role of miRNA identified with in silico analysis. Our results show that all five miRNAs (miR-139, miR-200c, miR-145, miR-223, and miR-424) are candidate biomarkers that may be able to determine the CP process.
A limitation of our study is the need to confirm miRNA expressions in large patient cohorts with CP diagnosis to confirm the specificity of the miRNA undergoing changes.
Conclusion
miR-139, miR-200c, miR-145, miR-223, and miR-424 play roles in CP pathogenesis, and these miRNAs may be used as noninvasive biomarkers for detection and diagnosis of this disease. Additionally, the correlation between miR-200c, miR-145, and miR-139 with endoplasmic reticulum stress, oxidative stress, apoptosis, and inflammation may provide information about the prognosis of CP and the detailed effect of specific treatment choices related to causes.
Authors’ Contributions
EGT, Study conception and design; data analyzing and draft manuscript preparation; critical revision of the paper; supervision of the research and final approval of the version to be published.
Conflicts of Interest
The author have no conflicts of interest.
Acknowledgment
This study was financially supported by Scientific Researches Project Department, University of Health Sciences, Istanbul, Turkey (approval number of 2019-062).
References
- 1.Machicado JD, Amann ST, Anderson MA, Abberbock J, Sherman S, Conwell DL, et al. Quality of life in chronic pancreatitis is determined by constant pain, disability/unemployment, current smoking, and associated co-morbidities. Am J Gastroenterol. 2017;112:633–642. doi: 10.1038/ajg.2017.42. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Guzel Tanoglu E, Tanoğlu A, Aydin Meriçöz M, Esen MF. Melatonin has favorable preventive effects on experimental chronic pancreatitis rat model. Turk J Med Sci. 2021 doi: 10.3906/sag-2103-134. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Yildirim M, Kaplan M, Duzenli T, Tanoglu A, Kucukodaci Z, Onal Tastan Y, et al. Pentoxifylline has favorable preventive effects on experimental chronic pancreatitis model. Scand J Gastroenterol. 2020;55:236–241. doi: 10.1080/00365521.2020.1712471. [DOI] [PubMed] [Google Scholar]
- 4.Yalçınkaya B, Güzel E, Taştekin D, Pençe S. Role of mir-33a, mir-203b, mir361-3p, and mir-424 in hepatocellular carcinoma. Turk J Med Sci. 2021;51:638–643. doi: 10.3906/sag-2004-214. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Demirel G, Guzel E, Creighton CJ, Ozturk YE, Kucuk C, Asliyuksek H, et al. MDMA abuse in relation to microrna variation in human brain ventral tegmental area and nucleus accumbens. Iran J Pharm Res. 2019;18:1989–1999. doi: 10.22037/ijpr.2019.15097.12874. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Xin L, Gao J, Wang D, Lin JH, Liao Z, Ji JT, et al. Novel blood-based microRNA biomarker panel for early diagnosis of chronic pancreatitis. Sci Rep. 2017;7:40019. doi: 10.1038/srep40019. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Guzel E, Karatas OF, Semercioz A, Ekici S, Aykan S, Yentur S, et al. Identification of microRNAs differentially expressed in prostatic secretions of patients with prostate cancer. Int J Cancer. 2015;136:875–879. doi: 10.1002/ijc.29054. [DOI] [PubMed] [Google Scholar]
- 8.Brennecke J, Hipfner DR, Stark A, Russell RB, Cohen SM. bantam encodes a developmentally regulated microRNA that controls cell proliferation and regulates the proapoptotic gene hid in Drosophila. Cell. 2003;113:25–36. doi: 10.1016/s0092-8674(03)00231-9. [DOI] [PubMed] [Google Scholar]
- 9.Hu LH, Ji JT, Li ZS. Potential application of miRNAs as diagnostic and therapeutic tools in chronic pancreatitis. J Cell Mol Med. 2015;19:2049–2057. doi: 10.1111/jcmm.12603. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Verlaan M, Roelofs HM, van-Schaik A, Wanten GJ, Jansen JB, Peters WH, et al. Assessment of oxidative stress in chronic pancreatitis patients. World J Gastroenterol. 2006;12:5705–5710. doi: 10.3748/wjg.v12.i35.5705. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Sah RP, Garg SK, Dixit AK, Dudeja V, Dawra RK, Saluja AK. Endoplasmic reticulum stress is chronically activated in chronic pancreatitis. J Biol Chem. 2014;289:27551–27561. doi: 10.1074/jbc.M113.528174. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Nathan JD, Romac J, Peng RY, Peyton M, Rockey DC, Liddle RA. Protection against chronic pancreatitis and pancreatic fibrosis in mice overexpressing pancreatic secretory trypsin inhibitor. Pancreas. 2010;39:e24–30. doi: 10.1097/MPA.0b013e3181bc45e9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Banks PA, Conwell DL, Toskes PP. The management of acute and chronic pancreatitis. Gastroenterol Hepatol (N Y) 2010;6:1–16. [PMC free article] [PubMed] [Google Scholar]
- 14.Guo Y, Fan W, Cao S, Xie Y, Hong J, Zhou H, et al. 2,3,5,4’-Tetrahydroxystilbene-2-O-β-D-Glucoside modulated human umbilical vein endothelial cells injury under oxidative stress. Korean J Physiol Pharmacol. 2020;24:473–479. doi: 10.4196/kjpp.2020.24.6.473. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Xue M, Peng N, Zhu X, Zhang H. Hsa_circ_0006872 promotes cigarette smoke-induced apoptosis, inflammation and oxidative stress in HPMECs and BEAS-2B cells through the miR-145-5p/NF-κB axis. Biochem Biophys Res Commun. 2021;534:553–560. doi: 10.1016/j.bbrc.2020.11.044. [DOI] [PubMed] [Google Scholar]
- 16.Pajic M, Froio D, Daly S, Doculara L, Millar E, Graham PH, et al. miR-139-5p modulates radiotherapy resistance in breast cancer by repressing multiple gene networks of DNA repair and ros defense. Cancer Res. 2018;78:501–515. doi: 10.1158/0008-5472.CAN-16-3105. [DOI] [PubMed] [Google Scholar]
- 17.Wei H, Huang L, Wei F, Li G, Huang B, Li J, et al. Up-regulation of miR-139-5p protects diabetic mice from liver tissue damage and oxidative stress through inhibiting Notch signaling pathway. Acta Biochim Biophys Sin (Shanghai) 2020;52:390–400. doi: 10.1093/abbs/gmaa008. [DOI] [PubMed] [Google Scholar]
- 18.Li T, Liang S, Zhang Y, Chen Y. Effects of microRNA-139 on myocardial cell injury induced by oxidative stress. Int J Clin Exp Med. 2015;8:19994–20001. [PMC free article] [PubMed] [Google Scholar]
- 19.Deng B, Wang M, Liu Z. A panel of 8 miRNAs as a novel diagnostic biomarker in pancreatic cancer. Medicine (Baltimore) 2020;99:e22261. doi: 10.1097/MD.0000000000022261. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Gomez JL, Chen A, Diaz MP, Zirn N, Gupta A, Britto C, et al. A network of sputum MicroRNAs ıs associated with neutrophilic airway ınflammation in asthma. Am J Respir Crit Care Med. 2020;202:51–64. doi: 10.1164/rccm.201912-2360OC. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Wang WX, Prajapati P, Nelson PT, Springer JE. The mitochondria-associated er membranes are novel subcellular locations enriched for ınflammatory-responsive microRNAs. Mol Neurobiol. 2020;57:2996–3013. doi: 10.1007/s12035-020-01937-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Zhu J, Lv J, Chen J, Zhang X, Ji Y. Down-regulated microRNA-223 or elevated ZIC1 inhibits the development of pancreatic cancer via inhibiting PI3K/Akt/mTOR signaling pathway activation. Cell Cycle. 2020;19:2851–2865. doi: 10.1080/15384101.2020.1827189. [DOI] [PMC free article] [PubMed] [Google Scholar] [Retracted]
- 23.Zhang S, Cai X, Huang F, Zhong W, Yu Z. Effect of trichostatin a on viability and microRNA expression in human pancreatic cancer cell line BxPC-3. Exp Oncol. 2008;30:265–268. [PubMed] [Google Scholar]
- 24.Lin Y, Ge X, Wen Y, Shi ZM, Chen QD, Wang M, et al. MiRNA-145 increases therapeutic sensibility to gemcitabine treatment of pancreatic adenocarcinoma cells. Oncotarget. 2016:7:70857–70868. doi: 10.18632/oncotarget.12268. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Zhou H, Zhang L, Tu H. Downregulation of thymopoietin by miR-139-5p suppresses cell proliferation and induces cell cycle arrest/apoptosis in pancreatic ductal adenocarcinoma. Oncol Lett. 2019;18:3443–3452. doi: 10.3892/ol.2019.10679. [DOI] [PMC free article] [PubMed] [Google Scholar] [Retracted]
- 26.Wu K, Hu G, He X, Zhou P, Li J, He B, et al. MicroRNA-424-5p suppresses the expression of SOCS6 in pancreatic cancer. Pathol Oncol Res. 2013;19:739–748. doi: 10.1007/s12253-013-9637-x. [DOI] [PubMed] [Google Scholar]
- 27.Ren Z, Wang X, Xu M, Yang F, Frank JA, Ke ZJ, et al. Binge ethanol exposure causes endoplasmic reticulum stress, oxidative stress and tissue injury in the pancreas. Oncotarget. 2016;7:54303–54316. doi: 10.18632/oncotarget.11103. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Bhardwaj P, Yadav RK. Chronic pancreatitis: role of oxidative stress and anti-oxidants. Free Radic Res. 2013;47:941–949. doi: 10.3109/10715762.2013.804624. [DOI] [PubMed] [Google Scholar]
- 29.Reese M, Flammang I, Yang Z, Dhayat SA. Potential of exosomal microrna-200b as liquid biopsy marker in pancreatic ductal adenocarcinoma. Cancers (Basel) 2020;12:197. doi: 10.3390/cancers12010197. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Wang D, Xin L, Lin JH, Liao Z, Ji JT, Du TT, et al. Identifying miRNA-mRNA regulation network of chronic pancreatitis based on the significant functional expression. Medicine (Baltimore) 2017;96:e6668. doi: 10.1097/MD.0000000000006668. [DOI] [PMC free article] [PubMed] [Google Scholar]


