Abstract
Background
A significant body of research strengthens the starring role of long non-coding RNAs (lncRNAs) and microRNAs (miRNAs) in the pathogenesis of inflammatory bowel disease (IBD). Here, we investigated the diagnostic utility of lncRNA H19 and miRNA-675-5p in IBD.
Methods
This study included 97 participants, thirty-five ulcerative colitis patients, thirty-two Crohn’s disease patients, and thirty IBD-free controls. History, staging, laboratory investigations, and colonoscopy were performed. Also, quantitative real-time PCR (qPCR) for revealing of lncRNA H19 and miRNA-675-5p was done.
Results
The estimated serum levels for H19 and miRNA-675-5p in the UC and CD groups in comparison to the control group showed a high statistical difference (P = 0.0001 for each parameter). Based upon the severity of UC patients, both biomarkers showed significantly higher values between remission and moderate cases, with p-values 0.022 and 0.02, respectively. Meanwhile, in CD patients, both biomarkers revealed no statistical significance between remission and any active stage of the disease. Additionally, ROC analysis revealed that H19 could discriminate between UC and control subjects with 94.3% sensitivity and 90.0% specificity, and with 87.5% sensitivity, and 88.5% specificity in the CD group. Furthermore, miR-675-5p was able to discriminate between UC and control subjects with 85.7% sensitivity and 97.3% specificity and with 88.4% sensitivity, 95.2% specificity in the CD group. Logistic regression found a significant predictive utility of using miR-675-5p and H19 in IBD.
Conclusion
H19 and miRNA-675-5p can be used as diagnostic biomarkers in IBD, with superiority in UC patients with moderate activity.
Keywords: Inflammatory bowel disease, LncRNA, H19, miRNA-675
Introduction
Inflammatory bowel disease (IBD) principally comprises ulcerative colitis (UC) and Crohn’s disease (CD), two phenotypes of the gastrointestinal tract (GIT) that share the chronicity of inflammation but differ in symptoms, disease location, and histopathological characteristics [1]. The incidence of IBD rises globally, with suspected attribution in part to the westernization of lifestyles [2]. The pathogenesis of IBD is not fully known; however, evidence suggests it develops via the convergence of immune factors, environmental factors, gut microbiota, and genetic susceptibility [3]. The disease course has an oscillating evolution between relapse and remission, which requires effective monitoring and evaluation [4]. Endoscopy is widely accepted as the main method for diagnosis [5], and currently, only C-reactive protein (CRP) and faecal calprotectin are used as reliable markers in IBD management [6]. However, more non-invasive biomarkers are admired, especially for patients with mild symptoms, in order not to burden their quality of life.
In recent literature, new insights have been associating IBD with noncoding RNAs, as they have arisen as vital regulators of gene expression at both the transcriptional and post-transcriptional levels [7]. Some have a protective role by maintaining gut microbiota homeostasis and regulating intestinal inflammation [8], but most of them are implicated in its pathogenesis through alterations in autophagy, intestinal barrier, and immune homeostasis [9]. They include long noncoding RNAs (lncRNAs) [7, 10] and microRNAs (miRs or miRNAs) [11, 12]. Some lncRNAs may contain miRNAs in their sequence that can be released by splicing, e.g., lncRNA H19 includes miRNA-675-3p and 675-5p [13].
The telomeric lncRNA H19 is a maternally imprinted gene located on chromosome 11. It is expressed at a high rate during fetal development but is downregulated postnatally [14]. It was linked to many cancers as an oncogene [15]. H19 and its intragenic miRNA-675 have been, together, studied in a plethora of cancers: colorectal [16], breast [17], glioma [18], rhabdomyosarcoma [19], gastric cancer [20], and liver cancer [21].
The expression of lncRNAs has been found to be abnormal in inflammatory diseases [22]. Regarding IBD, H19 levels increase markedly in the inflamed intestinal mucosa, predominantly due to an increase in interleukin 22 [23]. It may cause dysfunction of the epithelial barrier by suppressing autophagy [24]. MiRNA-675 is encompassed in miRNAs that weaken the intestinal barrier through destabilizing Cadherin E and zonula occludin 1 (ZO-1) mRNAs that are translated into tight junction proteins and adherens junction proteins [25].
In the current study, we aim to determine the diagnostic utility of lncRNAH19 and miR-675-5p as novel biomarkers in IBD.
Subjects and methods
Study population
This case-control study is a prospective basis of 97 Egyptian adult individuals, who were split into 3 groups. They were randomly chosen from the outpatients of the Tropical Medicine Department, Faculty of Medicine, Kasr Alayni Hospitals.
UC Group: 35 UC patients (14 (40%) females and 21 (60%) males) with a mean age of 32.06 ± 1.88 years.
CD Group: 32 patients with Crohn’s disease (11 (34.4%) females and 21 (65.6%) males) with a mean age of 33.84±2.10 years.
Control Group: 30 IBD-free patients (a colonoscopic and histopathological diagnosis; their symptoms are proven not to be caused by IBD) (15 (50%) females and 15 (50%) males) with a mean age of 32.07 ± 0.85 years.
Inclusion criteria
A minimum age of 18 years with a proven diagnosis of IBD, based on clinical, laboratory, endoscopic, and histological examinations.
Exclusion criteria
Patients with other causes of chronic diarrhea, malignancy, concurrent auto-immune or endocrine disease, a history of ongoing infection, and patients who are pregnant, lactating, or using estrogens for any reason.
All the members of the study group were subjected to history taking, physical examination, blood sampling for RNA extraction (the serum was separated and stored at -80 °C), and laboratory investigations, namely complete blood count (CBC), C-reactive protein (CRP), erythrocyte sedimentation rate (ESR), and serum albumin. In addition, a terminal ileoscopy and biopsy were performed, and then the specimens were sent for histopathology for confirmation of the diagnosis.
Activity was assessed clinically according to Peyrin-Biroulet et al. [26], where:
Crohn’s disease activity index (CDAI score) for CD defines remission in CD patients as a score below 150, 150–219 to be moderate, and > 450 to be severe.
Mayo score for UC: where a Mayo score < 2 is considered to be in remission, 3–5 are considered mild, 6–10 are considered moderate, and 11–12 are considered severe UC.
Chemicals and equipment
For the relative quantitative measurement of lncRNA H19 and miRNA-675-5p, QIAzol lysis reagent was added to 200 µL serums, and the miRNeasy mini kit for purification of serum total RNA, the miScript II RT kit for reverse transcription (RT), and miScript SYBR Green PCR kit for qPCR (Qiagen, USA) were used in line with the manufacturer’s instructions. The primers used are Hsa-miR-675-5p, Cat No. MS00032109, and SNORD 68, Cat No. MS00033712 (due to the lack of an endogenous reference housekeeping gene of miRNA in the serum), H19, Cat No. LP 01147 A and GAPDH QT 300,079,247 (as the endogenous housekeeping gene). The sequence of the primer pairs used for the qPCR are shown in Table 1.
Using the NanoDrop® (ND)-1000 spectrophotometer (NanoDrop Technologies, Inc., USA), RNA quantification and purity were evaluated.
qPCR was programmed using the Rotor-gene thermocycler (Qiagen, USA).
Table 1.
Gene | Sequence of Primer from 5′- 3′ F: Forward primer, R: Reverse primer |
---|---|
lncRNA H19 |
F: GCACCTTGGACATCTGGAGT R: TTCTTTCCAGCCCTAGCTCA |
GAPDH |
F: TGAAGGTCGGAGTCAACGGATTTGGT R: CATGTGGGCCATGAGGTCCACCAC |
miRNA-675-5p |
F: TTGGTGGTGCGGAGAG-3′ R: AGTGCGTGTCGTGGAGTC-3′ |
Calculation of results and statistical analysis
The expression levels of miR-675-5p and lnc H19 were evaluated using the ΔCt method, where the fold change in their expression levels was calculated by the Eq. 2–ΔΔCt. Data were analyzed using SPSS 17.0. For quantitative parametric data, arithmetic means were generated to measure central tendency, while the standard error was utilized as a measure of dispersion. The independent student t-test and the one-way ANOVA test, one for comparing two independent groups and the other for more than two independent groups, were utilized for the quantitative parametric data. Using Benferroni Post-Hoc, significance was tested. The Kruskal-Wallis and Mann-Whitney tests were employed for non-parametric data to compare more than two independent groups and to determine any statistical significance between the groups. Bivariate Pearson correlation analysis with a two-tailed test of significance was employed to measure the correlation between groups. With the ROC Curve (Receiver Operating Character), sensitivity and specificity tests were created. A P-value cutoff of 0.05 was used [27].
Results
Demographic characteristics and clinical data of the study groups
Matching the control group, most of the recruited patients were in their early thirties with a low percentage of concurrent chronic diseases. 75% of CD patients have experienced extra-intestinal manifestations. According to the severity of the disease, the majority of the UC patients (34.3%) showed severe activity using Mayo score, while most of the CD patients (53.12%) showed moderate activity using CDAI score. More details can be depicted in Figs. 1 and 2, and Table 2.
Table 2.
Clinical Data | Control (n = 30) |
UC (n = 35) |
CD (n = 32) |
---|---|---|---|
Age (years) | 32.07±0.85 | 32.06±1.88 | 33.84±2.10 |
Gender: Female Male |
15 (50%) 15 (50%) |
14 (40%) 21 (60%) |
11 (34.4%) 21 (65.6%) |
Smoker | 2(6.67%) | 8(22.9%) | 11(34.3%) |
Coffee consumption | 6(20%) | 6(17.1%) | 11(34.3%) |
Diabetes | 0(0%) | 4(11.4%) | 1(3.1%) |
Hypertensive | 1(3.3%) | 1(2.9%) | 1(3.1%) |
Duration (Months) | Not applicable | 40.36±9.21 | 52.32±11.41 |
Extra-intestinal manifestations | Not applicable | 14(40%) | 24(75%) |
Laboratory investigations of the study groups
Both UC and CD patients showed significantly increased levels of inflammatory markers (CRP and ESR) compared to the control group. They also experienced a significant elevation in total leucocyte count (TLC), neutrophils and platelets, and decreased albumin levels. In addition, UC- but not CD- patients have a significant decrease in hemoglobin level compared to the control group, as shown in Table 3.
Table 3.
Laboratory investigations | Control (n = 30) |
UC (n = 35) | P-value (UC/ control) |
CD (n = 32) | P-value (CD/ control) |
---|---|---|---|---|---|
Hb (g/dl) | 12.48±0.24 | 11.23±0.33 | 0.005 | 12.07±0.35 | 0.34 |
Htc (%) | 39.10±0.62 | 34.39±1.04 | 0.029 | 36.32±1.04 | 0.028 |
TLC (× 103/mm3) | 6.23±0.25 | 8.28±0.82 | 0.030 | 8.51±0.72 | 0.005 |
Neutrophils (× 103/mm3) | 48.72±1.14 | 60.77±2.82 | 0.001 | 60.33±2.23 | 0.001 |
Platelets (× 103/mm3) | 296.67±11.29 | 317.34±18.28 | 0.042 | 350.66±23.43 | 0.001 |
CRP (µg/ml) | 1.99±0.22 | 17.48±3.53 | 0.0001 | 29.15±7.41 | 0.001 |
ESR (mm/h) | 7.23±0.30 | 31.74±4.48 | 0.0001 | 34.53±5.02 | 0.0001 |
Albumin (g/dl) | 4.58±0.049 | 3.66±0.14 | 0.001 | 3.59±0.12 | 0.0001 |
Data are shown as mean ±SE, One-way ANOVA is used for calculating the p-value. P values in bold are statistically significant (P < 0.05). Hb: hemoglobin, Htc: hematocrite, TLC: total leucocyte count, CRP: C-reactive protein, ESR: Erythrocyte sedimentation rate
Serum levels for H19 and miRNA-675-5p in the study groups
The estimated mean serum levels for H19 and miRNA-675-5p in the UC and CD groups in comparison to the control group showed a high statistical difference (P = 0.0001 for each parameter), as shown in Fig. 3.
Relationship between serum biomarkers miR-675-5p, lncH19 and the severity of the disease in the study groups
Based upon the severity classification in UC patients, miR-675-5p showed significantly higher values between remission and both moderate and severe cases, with p-values 0.02, 0.037 respectively [Fig. 4]. Besides, H19 showed significantly higher values between remission and moderate cases only (p-value = 0.022). While in CD patients, both H19 and miRNA-675-5p showed fluctuating non-significant difference between remission and any active stage of the disease.
ROC curve to evaluate the diagnostic and prognostic performances of miR-675-5p and lncH19 in the study groups
Using ROC curve analysis in UC patients, H19 was able to discriminate them from control subjects with a cut-off level of 3.53, 94.3% sensitivity, and 90.0% specificity (AUC, area under curve = 0.944, p-value < 0.0001) (Fig. 5a). MiR-675-5p showed a cut-off level of 4.56 with 85.7% sensitivity, and 97.3% specificity (AUC = 0.921, p-value < 0.0001) (Fig. 5b).
In CD patients, H19 has a cut-off level of 2.04, with 87.5% sensitivity and 88.5% specificity (AUC = 0.875, p-value = 0.001) (Fig. 5c). MiR-675-5p level has a cut-off of 3.65, with 88.4% sensitivity and 95.2% specificity (AUC = 0.93, p-value = 0.001) (Fig. 5d). ROC analysis indicated the diagnostic efficacy of both biomarkers in discriminating CD patients from controls.
Logistic regression to measure the relationship between the serum biomarkers
For Linear regression, models were conducted to measure the relationship between the serum biomarkers. We discovered a statistically significant distinction between the examined cases. (Fig. 6). Model 1 for UC patients (miR-675-5p is the dependent variable): results showed a relationship between miR-675-5p and H19, where p-value = 0.001, the unstandardized coefficient is -0.157, and the standardized coefficient is -0.092. Model 2 for CD patients (miR-675-5p is the dependent variable): results showed a relationship between miR-675-5p and H19, where p-value < 0.0001, the unstandardized coefficient was − 0.043, and the standardized coefficient was − 0.266.
Discussion
As a group of inflammatory, chronic, and remitting disorders of the GIT, IBD is linked to influential morbidity and mortality that results in a substantial burden to both the patient and the finances of the health care system [28].
Our results revealed that the estimated serum levels for H19 and miRNA-675-5p in the UC group in comparison to the control group have a high statistical difference with high sensitivity and specificity. The same results apply to the CD group. Besides, both biomarkers could discriminate between UC patients in remission and those with moderate activity.
In contrast to cancer biology, the role of H19 in IBD and other inflammatory or autoimmune diseases has been scarcely studied [7]. H19 was dramatically upregulated in inflamed colonic tissues in patients with IBD [23]. Also, miR-675-5p was significantly upregulated in UC colonic mucosal biopsies [29]. In a recent study, H19 and miR-200a showed diagnostic significance in IBD patients [30].
H19 may be linked to intestinal inflammatory responses due to its effect on decreasing vitamin D receptor (VDR) expression in colonic biopsies in UC, which was partly due to miR-675–5p, the latter targets the 3′- untranslated region of VDR mRNA [31]. Over and above, H19 overexpression, associated with increased abundance of miR-675p- enhances intestinal permeability and decreases the expression of tight junction proteins and adherens junction, a matter that directly destabilizes the sturdiness of the intestinal mucosal barrier [25]. Recently, Yin et al. [32] found that silencing H19 could attenuate intestinal injury in UC mice.
In this study, CD patients tend to have more extra-intestinal manifestations than UC patients. A finding that comes in agreement with Isene et al. [33]. Also, we found significantly increased levels of CRP and ESR in the UC and CD groups compared to the control group, a significant elevation in total leucocyte count (TLC), neutrophils, and platelets, and decreased albumin levels. Although these laboratory investigations showed significance, they are not specific enough to rely on to diagnose IBD, so we need more specific and sensitive noninvasive biomarkers to rely on. A new study [34] found that serum levels of H19 and CRP are consistently associated with the clinical diagnosis of UC, with a superior conformance of H19 to that of CRP. The combination of different parameters showed higher accuracy than single marker approaches.
Conclusion
In this study, we concluded that lncRNA H19 and its precursor miR-675-5p are overexpressed in inflammatory bowel disease, promising to be used as noninvasive, reliable biomarkers for IBD diagnosis.
Acknowledgements
Not applicable.
Abbreviations
- lncRNA
Long noncoding RNA
- miRNAs
microRNAs
- IBD
Inflammatory bowel disease
- UC
Ulcerative colitis
- CD
Crohn’s disease
- GIT
Gastrointestinal tract
- CRP
C-reactive protein
- ZO-1
Zonula occludin 1
- CBC
Complete blood count
- ESR
Erythrocyte sedimentation rate
- CDAI score
Crohn’s disease activity index
- VDR
Vitamin D receptor
Authors’ contributions
All authors conceptualized and designed the study, and they all gave their final approval of this manuscript.
Funding
Open access funding provided by The Science, Technology & Innovation Funding Authority (STDF) in cooperation with The Egyptian Knowledge Bank (EKB). This research received funding assistance from the Faculty of Medicine, Cairo University, Egypt.
Data Availability
This manuscript contains all of the data produced during this research.
Declarations
Ethics approval and consent to participate
Informed consent was obtained from all participants. The Research Ethics Committee, Faculty of Medicine, Cairo University, Egypt, has permitted this work (MS-345-2020), which comes in accordance with The Code of Ethics of the World Medical Association.
Consent to publish
Not applicable.
Competing interests
The authors declare no competing interests.
Conflict of Interest
The authors have no interests to disclose.
Footnotes
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
References
- 1.Saez A, Herrero-Fernandez B, Gomez-Bris R, Sánchez-Martinez H, Gonzalez-Granado JM. Pathophysiology of inflammatory bowel disease: Innate Immune System. Int J Mol Sci. 2023;24(2):1526. doi: 10.3390/ijms24021526. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Kuenzig ME, Fung SG, Marderfeld L, et al. Twenty-first Century Trends in the Global Epidemiology of Pediatric-Onset Inflammatory Bowel Disease:systematic review. Gastroenterology. 2022;162:1147–1159e4. doi: 10.1053/j.gastro.2021.12.282. [DOI] [PubMed] [Google Scholar]
- 3.Lee M, Chang EB. Inflammatory Bowel Diseases (IBD) and the Microbiome-Searching the crime scene for clues. Gastroenterology. 2021;160(2):524–537. doi: 10.1053/j.gastro.2020.09.056. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Stenczel ND, Purcarea MR, Tribus LC, Oniga GH. The role of the intestinal ultrasound in Crohn’s disease diagnosis and monitoring. J Med Life. 2021;14(3):310–315. doi: 10.25122/jml-2021-0067. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Núñez FP, Krugliak Cleveland N, Quera R, Rubin DT. Evolving role of endoscopy in inflammatory bowel disease: going beyond diagnosis. World J Gastroenterol. 2021;27(20):2521–2530. doi: 10.3748/wjg.v27.i20.2521. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Dragoni G, Innocenti T, Galli A. Biomarkers of inflammation in inflammatory bowel disease: how long before abandoning single-marker approaches? Dig Dis. 2021;39(3):190–203. doi: 10.1159/000511641. [DOI] [PubMed] [Google Scholar]
- 7.Yarani R, Mirza AH, Kaur S, Pociot F. The emerging role of lncRNAs in inflammatory bowel disease. Exp Mol Med. 2018;50(12):1–14. doi: 10.1038/s12276-018-0188-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Ma H, Hu T, Tao W, et al. lncRNA from an inflammatory bowel disease risk locus maintains intestinal host-commensal homeostasis. Cell Res. 2023;33(5):372–388. doi: 10.1038/s41422-023-00790-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Alfaifi J, Germain A, Heba AC, et al. Deep Dive into MicroRNAs in Inflammatory Bowel Disease. Inflamm Bowel Dis. 2023;29(6):986–999. doi: 10.1093/ibd/izac250. [DOI] [PubMed] [Google Scholar]
- 10.Lin L, Zhou G, Chen P, Wang Y, Han J, Chen M, He Y, Zhang S. Which long noncoding RNAs and circular RNAs contribute to inflammatory bowel disease? Cell Death Dis. 2020;11(6):456. doi: 10.1038/s41419-020-2657-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Krishnachaitanya SS, Liu M, Fujise K, Li Q. MicroRNAs in Inflammatory Bowel Disease and its complications. Int J Mol Sci. 2022;23(15):8751. doi: 10.3390/ijms23158751. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Yarani R, Shojaeian A, Palasca O, Doncheva NT, Jensen LJ, Gorodkin J, Pociot F. Differentially expressed miRNAs in Ulcerative Colitis and Crohn’s Disease. Front Immunol. 2022;13:865777. doi: 10.3389/fimmu.2022.865777. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Küppers D, Tsiklauri L, Hülser M et al (2020) FRI0375 visfatin effects on MSCs during od via differential regulation of lncRNA H19 and microRNA 675-3P. Annals of the Rheumatic Diseases. 79:7841–7784. 10.1136/annrheumdis-2020-eular.1512
- 14.Ghafouri-Fard S, Esmaeili M, Taheri M. H19 lncRNA: roles in tumorigenesis. Biomed Pharmacother. 2020;123:109774. doi: 10.1016/j.biopha.2019.109774. [DOI] [PubMed] [Google Scholar]
- 15.Yang J, Qi M, Fei X, Wang X, Wang K LncRNA H19: a novel oncogene in multiple cancers (2021). Int J Biol Sci 17(12):3188–3208. 10.7150/ijbs.62573 [DOI] [PMC free article] [PubMed]
- 16.Zhang Y, Huang W, Yuan Y, Li J, Wu J, Yu J, He Y, Wei Z, Zhang C (2020) Long non-coding RNA H19 promotes colorectal cancer metastasis via binding to hnRNPA2B1. J Exp Clin Cancer Res. 39(1):141. 10.1186/s13046-020-01619-6. Erratum in: J Exp Clin Cancer Res (2021) 23;40(1):111 [DOI] [PMC free article] [PubMed]
- 17.Wang J, Wang X, Chen T, Jiang L, Yang Q. Huaier Extract inhibits breast Cancer Progression through a LncRNA-H19/MiR-675-5p pathway. Cell Physiol Biochem. 2017;44(2):581–593. doi: 10.1159/000485093. [DOI] [PubMed] [Google Scholar]
- 18.Shi Y, Wang Y, Luan W, et al. Long non-coding RNA H19 promotes glioma cell invasion by deriving miR-675. PLoS ONE. 2014;9:e86295. doi: 10.1371/journal.pone.0086295. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Tarnowski M, Tarnowski M, Tkacz M, et al. 5-Azacytidine inhibits humanrhabdomyosarcoma cell growth by downregulating insulin-like growth factor 2 expression and reactivating the H19 geneproduct miR-675, which negatively affects insulin-like growthfactors and insulin signaling. Int J Oncol. 2015;46:2241–2250. doi: 10.3892/ijo.2015.2906. [DOI] [PubMed] [Google Scholar]
- 20.Liu G, Xiang T, Wu Q-F, Wang W-X (2016) Long noncodingRNA H19-derived miR-675 enhances proliferation and invasionvia RUNX1 in Gastric cancer cells. Oncol Res Featur PreclinClin Cancer Ther 23:99–107. 10.3727/096504015X14496932933575 [DOI] [PMC free article] [PubMed]
- 21.Li H, Li J, Jia S et al (2015) miR675 upregulates long noncoding RNA H19 through activating EGR1 in human liver cancer. Oncotarget. 6(31):31958-84. 10.18632/oncotarget.5579 [DOI] [PMC free article] [PubMed]
- 22.Chen J, Ao L, Yang J. Long non-coding RNAs in diseases related to inflammation and immunity. Ann Transl Med. 2019;7(18):494. doi: 10.21037/atm.2019.08.37. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Geng H, Bu HF, Liu F, Wu L, Pfeifer K, Chou PM, Wang X, Sun J, Lu L, Pandey A, Bartolomei MS, De Plaen IG, Wang P, Yu J, Qian J, Tan XD. In inflamed intestinal tissues and epithelial cells, Interleukin 22 Signaling increases expression of H19 long noncoding RNA, which promotes mucosal regeneration. Gastroenterology. 2018;155(1):144–155. doi: 10.1053/j.gastro.2018.03.058. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Yu TX, Chung HK, Xiao L, et al. Long noncoding RNA H19 impairs the intestinal barrier by suppressing autophagy and lowering paneth and goblet cell function. Cell Mol Gastroenterol Hepatol. 2020;9(4):611–625. doi: 10.1016/j.jcmgh.2019.12.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Zou T, Jaladanki SK, Liu L, et al. H19 long noncoding RNA regulates intestinal epithelial barrier function via MicroRNA 675 by interacting with RNA-Binding protein HuR. Mol Cell Biol. 2016;36:1332–1341. doi: 10.1128/MCB.01030-15. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Peyrin-Biroulet L, Panés J, Sandborn WJ, et al. Defining Disease Severity in Inflammatory Bowel Diseases: current and future directions. Clin Gastroenterol Hepatol. 2016;14(3):348–354e17. doi: 10.1016/j.cgh.2015.06.001. [DOI] [PubMed] [Google Scholar]
- 27.Khothari CR. Research methodology: methods and techniques. New age International: New Delhi; 2004. [Google Scholar]
- 28.Ramos GP, Papadakis KA. Mechanisms of Disease: Inflammatory Bowel Diseases. Mayo Clin Proc. 2019;94(1):155–165. doi: 10.1016/j.mayocp.2018.09.013. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Van der Goten J, Vanhove W, Lemaire K, et al. Integrated miRNA and mRNA expression profiling in inflamed colon of patients with ulcerative colitis. PLoS ONE. 2014;9(12):e116117. doi: 10.1371/journal.pone.0116117. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Khalil EH, Shaker OG, Hasona NA. lncRNA H-19 and miR-200a implication and frequency of lncRNA H-19 rs2170425 SNP in ulcerative colitis and Crohn’s disease. Comp Clin Pathol. 2023 doi: 10.1007/s00580-023-03465-2. [DOI] [Google Scholar]
- 31.Chen SW, Wang PY, Liu YC, et al. Effect of long noncoding RNA H19 overexpression on intestinal barrier function and its potential role in the pathogenesis of Ulcerative Colitis. Inflamm Bowel Dis. 2016;22(11):2582–2592. doi: 10.1097/MIB.0000000000000932. [DOI] [PubMed] [Google Scholar]
- 32.Yin L, Yan J, Chen W Mechanism of lncRNA-H19 in Intestinal Injury of mice with Ulcerative Colitis (2022). Int Arch Allergy Immunol 183(9):985–996. 10.1159/000524156 [DOI] [PubMed]
- 33.Isene R, Bernklev T, Høie O, EC-IBD Study Group Extraintestinal manifestations in Crohn’s disease and ulcerative colitis: results from a prospective, population-based european inception cohort. Scand J Gastroenterol. 2015;50(3):300–305. doi: 10.3109/00365521.2014.991752. [DOI] [PubMed] [Google Scholar]
- 34.Wang A, Jiang Correlation analysis of serum levels of H19 and CRP levels and ulcerative colitis. J Med Biochem. 2022 doi: 10.5937/jomb0-41359. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
This manuscript contains all of the data produced during this research.