Abstract
Prevalence of inflammatory bowel disease (IBD), a chronic inflammatory disorder of the gut, has been on the rise in recent years—not only in the adult population but also especially in pediatric patients. Despite the absence of curative treatments, current therapeutic options are able to achieve long-term remission in a significant proportion of cases. To this end, however, there is a need for biomarkers enabling accurate diagnosis, prognosis, and prediction of response to therapies to facilitate a more individualized approach to pediatric IBD patients. In recent years, evidence has continued to evolve concerning noncoding RNAs (ncRNAs) and their roles as integral factors in key immune-related cellular pathways. Specific deregulation patterns of ncRNAs have been linked to pathogenesis of various diseases, including pediatric IBD. In this article, we provide an overview of current knowledge on ncRNAs, their altered expression profiles in pediatric IBD patients, and how these are emerging as potentially valuable clinical biomarkers as we enter an era of personalized medicine.
Keywords: pediatrics, inflammatory bowel disease, Crohn’s disease, ulcerative colitis, noncoding RNA, microRNA
In this article, authors provide an overview of current knowledge on noncoding RNAs, their altered expression profiles in pediatric IBD patients, and how these are emerging as potentially valuable clinical biomarkers.
INTRODUCTION
Inflammatory bowel disease (IBD) is an umbrella term for ulcerative colitis (UC) and Crohn’s disease (CD). These chronic inflammatory disorders of the gastrointestinal tract often are diagnosed in adolescence and young adulthood. Some 8%–25% of IBD patients have early onset of the disease in childhood.1, 2 These cases are more severe,3 with many extraintestinal issues such as delayed growth and development.4 The prevalence of these diseases is steadily rising worldwide, and the increase is particularly rapid in the pediatric population.5–7 Current diagnostic routine includes symptom assessment, endoscopic examination and biopsy, histology, serology, and radiology.8, 9 No standard diagnostic routine and reliable direct biomarkers are currently available. The biomarkers we have now reflect only general inflammation rather than specific pathogenesis associated with ongoing IBD or a specific subtype of IBD. A time-consuming and often painful diagnostic process eventually leading to surgical intervention is a particularly traumatic experience for young children, but this could very well be avoided by the use of noninvasive or minimally invasive biomarkers for diagnostics and therapeutic disease monitoring.
Although novel therapeutic strategies are effective in managing symptoms and achieving long-term remission, these approaches are not curative, and in some patients, no or only poor response is observed.10, 11 Early identification of such patients by innovative diagnostic approaches and their redirection to other therapeutic options is therefore essential for improving therapeutic outcomes. Moreover, novel discoveries in IBD pathogenesis are necessary to identify the targets and to develop novel therapeutic strategies. Noncoding RNAs (ncRNAs) are currently being studied intensively in pediatric IBD patients because they constitute a promising, novel class of biomarkers and therapeutic targets.
NONCODING RNAs, THEIR CLASSIFICATION, FUNCTION, AND BIOGENESIS
After the Human Genome Project revealed that only 1.5% of the genome is protein-coding,12 it became clear that there is more to DNA than mere proteins. Even earlier, there had been some sparse information available about the existence of RNAs untranslated to the proteins, but this was long considered an exception rather than a rule. In addition to transfer and ribosomal RNA, the first observations of small nuclear RNAs (snRNAs) and small nucleolar RNAs (snoRNAs) were made in the 1980s.13–16 Later, cancer-related deregulation of ncRNAs RNA H19,17 growth arrest-specific transcript 5 (GAS5),18 and prostate cancer antigen (PCA3/DD3)19 pointed to the now well-documented phenomena as to the involvement of noncoding genome in the development of many complex diseases. Only after the discovery of gene expression regulation through RNA interference facilitated by short noncoding RNAs,20–22 however, did exploration of noncoding genome really begin to take off.
Noncoding RNAs can be divided according to their function into 2 groups: housekeeping ncRNAs (e.g., tRNAs, rRNAs, snRNAs, snoRNAs) and regulatory ncRNAs. The latter of these is historically subdivided into 2 large groups according to the arbitrary dividing line of 200 nucleotides in length. Transcripts shorter than 200 nucleotides are termed short noncoding RNAs (sncRNAs), and transcripts exceeding 200 nucleotides are called long noncoding RNAs (lncRNAs). Both groups are involved in regulating gene expression and operate on several levels depending on the type of ncRNA. The sncRNAs, such as microRNAs (miRNAs), small interfering RNAs (siRNAs), and PIWI-interacting RNAs (piRNAs), are involved mostly in post-transcriptional regulation but also in many other specific processes such as transposon silencing or rRNA maturation.23 The lncRNAs are much longer by definition and comprise a more diverse group of transcripts. They are known to affect many cellular processes on transcriptional, post-transcriptional, and translational levels. Although both short and long noncoding transcripts usually possess no protein coding capacity, there has been some evidence of cryptic reading frames and translation in to shorter micropeptides in lncRNAs formerly regarded as noncoding.24–26
MicroRNAs
Among all ncRNAs, miRNAs have been studied thoroughly and have claimed the most attention in recent decades. Along with the discovery of RNA interference in the early 2000s, miRNAs were observed first in Caenorhabditis elegans as master regulators of developmental timing20, 21, 27–30 and later in many other species, including humans.30, 31 Their distinct length of 18 to 25 nucleotides makes them a very specific group of transcripts, currently encompassing about 2000 different mature miRNAs.32 Naturally produced endogenously, miRNAs constitute a pivotal cellular mechanism for regulating expression in as many as 60% of human genes31 by complementary binding to their target messenger RNAs (mRNAs). Of the 18 to 25 nucleotides, 8 are essential and make up what is termed the “seed” region, which binds to the 3′ untranslated region of the target, thereby leading to repressed translation of the target mRNA, either by its destabilization or degradation.33, 34 As the seed region is fairly short, many different mRNAs can contain a complementary sequence and be affected by a single miRNA, thus making it a pleiotropic regulator of several targets.33 Stemming from either individual miRNA genes or intergenic and intragenic regions of protein-coding genes,35 miRNAs are canonically transcribed by RNA polymerase II,36 thereby creating polyadenylated and capped pri-miRNAs.37, 38 This primary transcript is usually several hundred nucleotides long and contains a future mature miRNA sequence in the stem of the secondary hairpin structures of pri-miRNA. Next, splicing of the pri-miRNA is facilitated by a microprocessor complex consisting of RNase III Drosha39 and a dimer of DiGeorge critical region 8 (DGCR8).40, 41 The microprocessor cleaves the pri-miRNA transcript, creating 1 or several hairpin structures—pre-miRNAs—that each contain one future miRNA. Pre-miRNAs are transported by nuclear transporter protein exportin 542 to the cytoplasm, where they are processed further. The RNase III–type enzyme Dicer,43 together with other cooperating proteins (dependant on the species; in humans it is trans-activation-responsive RNA binding protein [TRBP]),44 cleaves pre-miRNA close to the terminal loop and creates a double-stranded RNA intermediate. One of the strands is recruited into an RNA-induced silencing complex (RISC) with proteins from the Argonaute family (AGO).44 The strand that is recruited is termed “leading,” and the other one, called the “passenger strand,” is usually degraded; although in some cases, it also can be recruited into the RISC.45
The canonical pathway of miRNA biogenesis can be overcome, as some miRNAs have been observed to be produced alternatively in noncanonical ways that exclude certain steps and also give rise to other types of sncRNAs.46–49
LONG NONCODING RNAs
Long ncRNAs were first regarded as nonfunctional because their roles in the cells have been unknown and their sequences are less conserved than are those of protein-coding genes.50, 51 In comparison with miRNAs, lncRNAs encompass a much broader group due to their definition by length. Though miRNAs encompass only a specific 18 to 25 nucleotides in length of the spectrum, everything from 200 nucleotides and larger is considered an lncRNA unless it is a coding sequence.52–56 Next-generation sequencing revealed that lncRNAs originate from more than 59,000 genes.57 That number was expanded even further by the NONCODE database to more than 96,000 genes producing over 172,000 transcripts.58 Not many of these, however, have been experimentally validated to date.59 Nevertheless, structural and functional variability makes it difficult to create a meaningful and useful classification system; 60 currently, several systems are being used based upon localization in the genome in relation to the protein-coding genes, according to their function or depending upon the means of their origin.
Although sharing many similarities with mRNAs, lncRNAs are more tissue- and time-specific and operate in much lower concentrations.52, 60–62 They are localized both in cell nucleus and in the cytoplasm in 1 or more copies, but nuclear localization, especially close to the chromatin, is their preferential one.52, 63 Close to the chromatin, they affect gene expression by facilitating chromatin interactions and guiding chromatin-remodeling complexes,64, 65 thus activating or repressing transcription. Other ways of transcriptional regulation include cooperation with transcription factors,66, 67 binding to regulatory sequences68–70 and promoting splicing of mRNAs in complexes with other splicing molecules.71, 72
When translocated to the cytoplasm, lncRNAs are involved in post-transcriptional and post-translational regulation of gene expression while acting in cooperation with RNA-binding proteins, or they affect the stability and degradation of such proteins and thus facilitate protein turnover.73 The mRNA stability is affected by the binding of RNA–protein complexes containing lncRNAs as guiding molecules, which causes either degradation or enhanced translation of the target mRNA.74, 75 The RNA–protein complexes are also involved in various signaling pathways,76 fulfill certain roles in cellular organelles, or help transport other molecules into organelles.77 A separate category of lncRNAs, so-called “competing endogenous RNAs” (ceRNAs), serve as decoys or sponges for miRNAs and so alter the relative availability of miRNAs.78 Similarly, lncRNAs serve also as protein decoys, averting proteins from binding to other transcripts.79
In contrast to the well-described canonical pathway of miRNAs, a general biogenetic pathway for lncRNAs is difficult to trace, as lncRNAs present a diverse group of transcripts produced in several ways. Nevertheless, an initial part of the biogenesis is shared not only among lncRNAs but also by all transcripts. This consists of transcription by polymerase II, polyadenylation, 5′ capping, and chromatin modifications typical for protein-coding sequences.52, 80 However, lncRNA genes usually contain fewer but longer exons, and their expression is more time- and tissue-specific. Enormous variability exists on the post-transcriptional level, which includes such specific modifications as cleaving of the 3′ end by RNAse P or back-splicing to creating a circular lncRNA (circRNA).81, 82 There is also some evidence that miRNA transcriptional apparatus is somewhat involved in lncRNA biogenesis. After all, sncRNAs, including for example miRNAs themselves, arise from formerly long primary transcripts classifiable as lncRNAs and only later are processed by specific biogenetic pathways.83, 84
NONCODING RNAs AS BIOMARKERS
Great demand exists for a precise, possibly noninvasive biomarker that can provide a faster, simpler, and more efficient way of characterizing patients and personalizing management of the disease. The ncRNAs have emerged as potential biomarkers for several diseases, as these are generally stable and abundantly present in a variety of clinical specimens, including tissues and bodily fluids; are highly tissue-specific, cell type-specific, and condition-specific; and can be readily detected by routine and inexpensive laboratory techniques.85, 86
The majority of the human genome encodes RNAs that do not code for proteins.20, 21, 87 These ncRNAs affect normal expression of the genes, including genes involved in the immune system, inflammation, and IBD pathogenesis. Although miRNAs are the most studied regulatory ncRNAs to date and miRNA-targeted diagnostics and therapeutics have already reached clinical development,28, 85, 86, 88 the importance of lncRNAs as potential biomarkers and therapeutic targets is increasingly recognized.85, 86, 89, 90
Both short and long ncRNAs function mostly as regulators and fine-tuners of gene expression. Although miRNAs share a simple structure and, in the majority of cases, bind to their target mRNAs through their 8-nucleotide long seed region to post-transcriptionally regulate gene expression,27 lncRNAs use many different molecular mechanisms depending on the length and structure of a given transcript. This enables a wide variety of functions, spanning from transcription regulation and acting as miRNA sponges to orchestrating epigenetic modifications.82 Several miRNAs89, 90 and specific miRNA signatures91, 92 have been identified in IBD-associated tissues. It has been shown that among many other cellular processes, miRNAs play a significant role in intestinal immunity.93 Nevertheless, there exists only sparse information on ncRNA profiles and their diagnostic potential in pediatric IBD patients (summarized in Tables 1 and 2). Given that adult and pediatric IBD have some differences in manifestation, etiology, and genetic background,4 it is expected that ncRNA profiles may reflect these differences. To examine these aspects thoroughly, we searched the PubMed database for relevant studies according to the following strategy: “miRNA” and “pediatric” and (“ulcerative” and “colitis”) or (“crohn” and “disease”) or “IBD.” When we excluded nonclinical studies and chose only studies carried out on pediatric patients, the remaining 11 articles (Tables 1 and 2) were relevant for our discussion.
TABLE 1.
Study | ncRNA | Change in expression (patients) | Compared groups | Number of patients, sample type | Statistical parameters | Technological platform | ||
---|---|---|---|---|---|---|---|---|
Best P- achieved | AUC | Sensitivity/ Specificity (%) | ||||||
Koukos et al., 2013 40 | miR-101 | Down | IBD vs. non-IBD | 45 biopsies | — | — | — | MicroRNA-library screen, RT-qPCR |
miR-26 | Down | — | ||||||
miR-124 | Down | pUC vs. pCD/non-IBD | <0.0001/<0.01 | |||||
Koukos et al., 2015 42 | miR-4284 | Down | pIBD vs. non-IBD | 37 biopsies | <0.05 | — | — | mirCURY microRNA array, RT-qPCR |
Zahm et al., 2014 43 | miR-192 miR-194 miR-200b miR-375 | Down | pUC vs. controls | 50 biopsies | 0.0006 0.0019 0.0056 0.0001 | — | — | nCounter, TaqMan low density array, RT-qPCR |
miR-142-3p miR-146a miR-21 let-7i | Up | 0.0048 0.0027 0.0003 0.0007 | — | — | ||||
miR-24 | — | pUC vs. pCD | — | 0.83 | 83.3/85.7 | |||
Béres et al., 2016 44 | miR-122 miR-146a miR-155 | Up Up UP | ipCD vs. C/pUC pUC vs. C ipCD vs. C | 28 FF samples, 71 FFPE samples | <0.01 <0.001 <0.001 | — | — | RT-qPCR |
Szűcs et al., 2016 45 | miR-146a miR-155 | Up | ipCD vs. inpCD vs. C | 30 FFPE samples | <0.001 | — | — | RT-qPCR |
Béres et al., 2017 33 | miR-185 miR-223 | Up | ipCD vs. C | 44 FF samples | <0.05 <0.001 | 0.81 1 | 62.5/100 100/100 | NGS, RT-qPCR |
miR-146a miR-142–3p | — | pCD vs. pUC | <0.01 <0.01 | 0.838 0.888 | 80/76.92 77.78/90.31 | |||
Tang et al., 2018 48 | miR-15a | Down | CDre vs. CDac | 54 FF samples | <0.05 | — | — | RT-qPCR |
Abbreviations: AUC, area under the curve; C, control; FFPE, formalin-fixed paraffin-embedded; CDac, active Crohn’s disease; CDre, Crohn’s disease in remission; FF, fresh frozen tissue; ipCD, histologically intact tissue of pediatric patients with Crohn’s disease; inpCD, histologically inflamed tissue of pediatric patients with Crohn’s disease; NGS, next-generation sequencing; pCD, pediatric patients with Crohn’s disease; pIBD, pediatric patients with inflammatory bowel disease; pUC, pediatric patients with ulcerative colitis; non-IBD, control patients without inflammation typical for IBD; RT-qPCR, real-time quantitative polymerase chain reaction.
TABLE 2.
Study | ncRNA | Change in expression (patients) | Compared groups | Number of patients, sample type | Statistical parameters | Technological platform | |||
---|---|---|---|---|---|---|---|---|---|
Best P- achieved | AUC | Sensitivity/ Specificity (%) | |||||||
Zahm et al., 201149 | miR-484 miR-16 | Up | pCD vs. control vs. celiac | 102 blood serum samples | <0.0001 | 0.917 0.912 | 82.61/84.38 73.91/100 | TaqMan human microRNA array, RT-qPCR | |
Zahm et al., 201443 | miR-192 miR-142–3p miR-21 | Up | pUC vs. control | 47 blood serum samples | 0.0045 0.0078 — | 0.757 0.723 0.718 | 79.31/77.78 75.86/66.67 75.86/66.67 | TaqMan low density array human microRNA panel, RT-qPCR | |
Heier et al., 201650 | miR-146a miR-146b miR-320 miR-486 | Down | pIBD pharmaco-dynamics | 19 PBMC samples | <0.05 <0.01 <0.01 <0.01 | — | — | RT-qPCR | |
De Iucidibus et al., 201851 | miR-29c-3p | Up | pIBD pharmaco-dynamics | 10 PBMC samples | <0.01 | — | — | NGS, RT-qPCR | |
Lucafò et al., 201852 | GAS5 | Up | pIBD pharmaco-dynamics | 19 PBMC samples | <0.05 | — | — | RT-qPCR |
Abbreviations: AUC, area under the curve; C, control; GAS5, growth arrest-specific transcript 5; NGS, next-generation sequencing; PBMC, peripheral blood mononuclear cells; pCD, pediatric patients with Crohn’s disease; pIBD, pediatric patients with inflammatory bowel disease; pUC, pediatric patients with ulcerative colitis; RT-qPCR, real-time quantitative polymerase chain reaction.
NONCODING RNAs IN TISSUES OF PEDIATRIC IBD PATIENTS
The research group of Koukos et al focused on differences in ncRNA expression profiles in pediatric and adult IBD patients and published its study in 2013.94 In addition to showing that the IL6/STAT3 pathway is a critical factor in the development and progression of IBD, those authors identified 5 miRNAs suppressing activity of STAT3. These are miR-125, miR-101, miR-26, miR-124, and let-7, with miR-124 probably being a central regulator of STAT3 due to its greater than 90% inhibitory effect on STAT3 in human colonocytes.95 Further investigation using real-time quantitative polymerase chain reaction (RT-qPCR) on adult and pediatric samples revealed that let-7 and miR-125 were downregulated specifically in adult patients, miR-101 and miR-26 in pediatric and adult patients, and miR-124 only in pediatric patients with active UC. Thus, these are potential diagnostic biomarkers depicting disease activity. Downregulation of miR-124 was due to methylation of miR-124 promoter, which provided the first evidence as to a role of epigenetic regulation in pediatric IBDs.94 The Koukos team continued its research efforts and 2 years later published another study on pediatric IBD patients,96 again comparing active and inactive disease vs healthy controls and adult UC patients. They discovered a 24-miRNA signature that was deregulated in colonic tissue, with miR-4284 being the most downregulated ncRNA in pediatric UC patients. Its expression was also downregulated in patients with active vs inactive UC. Further in vitro experiments showed that miR-4284 is present in colonic epithelial cells and regulates expression of C-X-C motif chemokine 5 (CXCL5) by binding to its 3′UTR. Correspondingly, CXCL5 levels are increased in pediatric patients with UC due to miR-4284 downregulation.96 The CXCL5 is known for its expression in colonic epithelial cells, and as a facilitator of neutrophil recruitment, it is one of the major players in the development of UC.93, 95
In the study by Zahm et al,97 tissue expression profiles from rectal biopsies revealed specific miRNA patterns associated with pediatric UC and CD compared with controls. Four miRNAs that were enriched in epithelial cells (miR-192, miR-194, miR-200b, and miR-375) were significantly downregulated in UC patients compared with controls. Contrarily, 4 miRNAs that were overexpressed in inflammatory cells (miR-142–3p, miR-146a, miR-21, and let-7i) were upregulated in UC patients compared with controls. Only miR-375 and miR-21 were significantly altered in pediatric CD patients in comparison with controls. In UC patients receiving the immunomodulator 6-mercaptopurine or methotrexate, significant elevation was observed of miR-375 and miR-192 compared with in UC patients not receiving immunomodulators. A single miRNA, miR-24, was differentially expressed between UC and CD patients and enabled correct classification of 84% of patients, with a sensitivity of 83% and specificity of 86%.97
Another study focusing on both pediatric CD and UC came from the group of Béres et al.98 They selected for their study miR-146a, miR-122, and miR-155, which previously had been shown to play an important role in immune processes and immune-mediated diseases. MiR-146a and miR-155 levels were significantly higher in the inflamed mucosa of children with CD and UC compared with the intact mucosa.98 Moreover, the authors demonstrated induction of miR-146a and miR-155 after treatment with TNF-α (a potent inflammatory cytokine and effective therapeutic target in IBD)—and hence, their potential involvement in TNF-α pro-inflammatory signaling. The same team achieved similar results when comparing expression of miR-146a, miR-155, and miR-122 in inflamed duodenal tissue of CD patients, intact duodenal tissue of CD patients, and healthy controls.99
Their follow-up publication describes the most robust biomarker study to date concerning ncRNAs in pediatric IBD patients.89 Using small RNA sequencing of fresh-frozen tissue biopsies, the authors obtained specific miRNA profiles of CD patients with inflamed and intact histology and also those of healthy controls. The validation phase of the study by Béres et al89 was conducted not only in CD but also in pediatric UC patients, thereby providing additional information on the discovered miRNAs. The most interesting results from a diagnostic perspective are summarized in Table 1. There was significant overlap between the miRNA expression profiles differentiating CD and UC from healthy patients (upregulation of miR-18a, miR-21, miR-31, miR-99a, miR-99b, miR-125a, miR-126, miR-142-5p, miR-146a, and miR-223 and downregulation of miR-141 and miR-204 in diseased tissue). Nevertheless, there were some miRNAs upregulated in UC compared with CD, namely miR-21, miR-31, miR-125, miR-142-3p, and miR-146a; on the other hand, the expression levels of miR-100, miR-150, and miR-185 were increased in CD patients compared with UC patients. Through combined pathway analysis of miRNAs and their target mRNAs identified in CD, those authors revealed a strong association of these miRNAs and mRNAs with inflammation, fibrosis, and response to microbiome, in addition to immune and inflammatory response. Five miRNAs differentially expressed in UC patients (miR-20a, miR-126, miR-141, miR-142, and miR-223) were connected to the ABCG2 and ABCB1 efflux transport proteins important in intestinal barrier protection against external stimuli.89
It seems that some of these miRNAs are probably not specific for pediatric IBD patients but more likely are important for IBD in general or inflammation as such. Similar profiles have been detected in studies performed on samples from adult IBD patients,90 and some miRNAs are well-known players in inflammatory processes (eg, miR-146a, miR-155, and miR-21),100 regardless of whether these are in adult or pediatric patients.
However, there are some examples showing just the opposite. Particularly noteworthy is that miR-223, identified in the Béres study as one of the most significantly upregulated miRNAs in UC and CD (in both inflamed and intact tissue),89 has been described in adult IBD as a negative regulator of inflammation.101 Results from Neudecker et al relating to adult IBD patients and an animal model showed that overexpression of miR-223 can attenuate inflammation. Moreover, they observed the release of proinflammatory cytokines and chemokines in myeloid-derived cells through the miR-223–NOD-like receptor 3 (NLRP3)–interleukin-1β (IL-1β) regulatory circuit as a critical component of intestinal inflammation and homeostasis.101 MiR-223 is probably one of the examples indicating the differences between the underlying IBD pathogenesis in adult and pediatric patients.
The most recent work from Tang et al102 was focused on miR-15 as a regulator of Cdc4, a potent regulator of the cell cycle. The miR-15 level was quantified in 33 pediatric IBD patients and 21 controls, and moderate increase in miR-15 expression was observed in CD patients. Unfortunately, the variability of miR-15 expression was too high, thus precluding its use as a reliable biomarker of CD. Testing for potential correlation between miR-15 expression and PCDAI score also was unsuccessful.102
NONCODING RNAs IN BODILY FLUIDS OF PEDIATRIC IBD PATIENTS
Concerning ncRNAs in bodily fluids (Table 2), Zahm et al provided initial promising findings.97, 103 In their early work, these authors revealed that levels of miR-484 and miR-16 were significantly deregulated in blood serum of CD patients compared with healthy controls. Clinical testing achieved 83% sensitivity and 84% specificity for miR-484 and 74% sensitivity and 100% specificity for miR-16; these levels are indisputably higher than those for such laboratory markers currently used, such as C-reactive protein or anti-Saccharomyces cerevisiae antibody.103 In addition to the tissue miRNA profiles from rectal biopsies of pediatric UC and CD patients described previously, they identified in their further work miRNA biomarkers in blood serum. Circulating miR-192, miR-142-3p, and miR-21 were confirmed to be elevated in both UC and CD samples relative to controls, and they correctly classified 79%, 72%, and 72% of IBD patients, respectively. In patients from whom both serum and rectum miRNAs were measured, circulating miRNA levels did not correlate with those of the tissue. There were also no differences in circulating miRNAs that would enable differentiating between CD and UC patients.97
Heier et al performed expression profiling of 24 circulating miRNAs involved in inflammation or steroid response to examine their responsiveness to anti-inflammatory treatments (eg, prednisone, infliximab).104 They identified that 3 miRNAs (miR-146a, miR-146b, and miR-320a) known to be induced by inflammatory signaling were responsive to—or downregulated by—both drugs. A fourth miRNA, miR-486, showed a significant change in response to prednisone but not to infliximab. Together, measuring levels of these miRNAs could potentially help in assessing inflammatory disease and therapeutic response.104 A similar study evaluated differentially expressed miRNAs during glucocorticoid treatment in blood cells (specifically peripheral blood mononuclear cells [PBMCs]) of pediatric patients with IBD (8 UC, 2 CD) enrolled at diagnosis and followed for the first weeks of steroid therapy.105 Peripheral blood was obtained at diagnosis (T0) and after 4 weeks of prednisone treatment (T4). Among the 18 miRNAs differentially expressed from T0 to T4, 16 were upregulated and 2 were downregulated. Three miRNAs (miR-144, miR-142, and miR-96) could putatively recognize the 3′UTR of the glucocorticoid receptor gene, and 3 miRNAs (miR-363, miR-96, miR-142) contained glucocorticoid responsive element sequences, thereby potentially enabling direct regulation by the glucocorticoid receptor.105
The only study in pediatric IBD patients focusing on lncRNAs thus far was related to glucocorticoid therapy response and GAS5 levels in PBMCs. Clinical activity was assessed using the Pediatric Crohn’s Disease Activity Index (PCDAI) for patients with CD and the Pediatric Ulcerative Colitis Activity Index (PUCAI) for patients with UC. Clinical remission was defined as PCDAI <10 or PUCAI <10, whereas clinical improvement was defined as a reduction of at least 15 points from the baseline score for PCDAI and at least 20 points from baseline for PUCAI.106 Growth arrest-specific 5 levels were measured in PBMCs of 19 pediatric IBD patients at diagnosis and after the first cycle of glucocorticoids. This demonstrated upregulation of the lncRNA in patients with unfavorable steroid response, indicating that GAS5 can be considered a novel pharmacogenomic marker useful for personalizing glucocorticoid therapy.106
CONCLUSION AND FUTURE PERSPECTIVES
Not many studies to date have been focused on ncRNAs in pediatric IBD patients, very little knowledge exists as to the underlying biology of miRNAs involved in pediatric IBD patients (Fig. 1),107 and the current descriptive observations are often derived by extrapolation of discoveries from adult IBD experimental studies. Existing results show promise, however, as there is significant overlap in miRNA profiles across independent studies. Specifically, miR-146a, miR-142-3p, and miR-223 seem to be emerging as potential noninvasive biomarkers of pediatric IBD in the near future. Some of these miRNAs are specific for pediatric IBDs when compared with adult counterparts. There also are miRNA biomarkers (eg, miR-24), enabling accurate differentiation between UC and CD cases and tissue miRNA expression changes reflecting successful glucocorticoid treatment. In bodily fluids, miRNAs have been observed to differ by their levels in blood serum of IBD patients and controls. In PBMCs, miRNAs and lncRNA GAS5 have been shown responsive to the anti-inflammatory agents prednisone and infliximab. A variety of study designs are found in the current literature, however. These need to be unified and include independent validation cohorts of patients to provide solid and more convincing results. Also, high-throughput technologies for ncRNA profiling are not as common, and a majority of the studies are based on preselected groups of ncRNA candidates. A higher level of methodological standardization is necessary also to develop reliable clinical-level biomarkers.
Author contribution: PJ, JB, TP, and LK wrote the manuscript. OS and AG critically revised the manuscript. All authors reviewed and approved the final manuscript.
Supported by: This work was supported by the Ministry of Health, Czech Republic, Conceptual Development of Research Organization (FNBr, 65269705) and National Cancer Institute (CA184792 and CA202797).
Conflicts of interest: The authors declare that they have no conflict of interest.
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