Abstract
Background
Idiopathic pulmonary fibrosis (IPF) is a chronic progressive disease that causes scarring of the lungs. The disease is associated with the usual interstitial pneumonia pattern, which was not yet fully recapitulated by an animal model. Therefore, the disease is considered ‘human specific’. miRNA-608 is a primate specific miRNA with many potential targets, such CdC42 and Interlukin-6 (IL-6) that were previously implicated in IPF pathology.
Objective
To test miR-608 expression and its targets in IPF patient samples.
Methods
RNA was extracted from Formalin fixed paraffin embedded tissue sections (N = 18). miRNA-608 and Cdc42 and IL-6 levels were analyzed by qPCR. Acetylcholinesterase (AChE) is another target of miRNA-608. Its’ rs17228616 allele has a single-nucleotide polymorphism causing weakened miR-608 interaction (C2098A). Thus, DNA was extracted from whole blood samples from 56 subjects with fibrosing interstitial lung disease and this region was sequenced for assessment of rs17228616 allele polymorphism.
Results
miR-608 is significantly overexpressed in IPF samples in comparison with controls (p < 0.05). Cdc42 and IL-6 levels were lower in the IPF patient samples compared with control samples (p < 0.001 and p < 0.05, respectively). The frequency of the rs17228616 minor A-allele was 17/56 (30.4%) with all patients being heterozygous. This result is significant vs. the published Israeli cohort of healthy individuals, which reported 17% prevalence of this allele in healthy control volunteers (p = 0.01, OR = 2.1, CI 95% [1.19–3.9]).
Conclusion
miR-608 is overexpressed in IPF patients. While the exact mechanism remains to be discovered, it could potentially promote fibrotic disease.
Keywords: microRNA, IPF, ILD, SNP, CdC42
Introduction
Idiopathic pulmonary fibrosis (IPF) is a chronic disease that causes scarring of the lungs. The disease is characterized by progressive worsening of dyspnoea and decline in lung function. Many patients with IPF have sub-clinical or clear co-morbid conditions including pulmonary hypertension, gastroesophageal reflux, obstructive sleep apnoea, obesity, emphysema, as well as depression and anxiety [1, 2].
The disease is limited to the lungs, and is associated with the histopathologic and/or radiologic pattern of usual interstitial pneumonia (UIP). So far, no animal model fully recapitulated the UIP pattern [3] and the disease is considered ‘human specific’.
Micro-RNAs (miRNA) are a non-coding RNA sequences, of about 22 nucleotides long that have complementary sequences to particular regions of the mRNA, often in the 3′UTR, through which regulation occurs. Regulation generally proceeds via either mRNA degradation or inhibition, leading to gene silencing, with the degree of inhibition highly depending on the degree of complementarity between the miRNA and its corresponding mRNA target [4, 5].
Single-nucleotide polymorphisms (SNPs) are strongly associated with susceptibility to various diseases, including IPF [6–8]. SNPs within miRNA sequences may therefore change properties of the resulting inhibition by altering degree of complementarity [9, 10].
miRNA-608 (miR-608, hsa-mir-608) is a long (25 nucleotides) primate specific miRNA. It has many potential targets, such as Rho GTPase CdC42 and Interlukin-6 (IL-6), bearing much experimental evidence [11, 12]. It was previously shown that the miR-608 has differential affinity to the AchE sequence due to C to A change (C2098A) in its 3′-untranslated region (e.g. the minor ‘A-allele’ and the major ‘C-allele’, respectively), indicating weakened A-allele AChE–miR-608 interaction [11]. The impaired interaction of the A-allele of AChE with miR-608 predicted weakened AChE suppression, resulting in elevated levels of free miR-608 molecules to suppress other targets with tight miR-608 binding sites, such as Cdc42 and IL6, which were already shown to be involved in IPF progression [13, 14]. In this study, we tested miR-608 expression and its targets in human IPF patient samples.
Materials and methods
RNA purification and quantitative PCR (qPCR)
Total RNA (including miRNA) was extracted from Formalin fixed paraffin embedded (FFPE) tissue sections taken from 18 IPF patients and 8 control samples, using the miRNeasy FFPE kit (Qaigen, USA) according to the manufacturer’s instructions.
mRNA was converted to cDNA using the reverse transcription kit (Applied Biosystems, UK). Reactions were performed with SYBR Green PCR master mix (Applied Biosystems, UK). Primer sequences (purchased from Hylabs, Israel) are listed in Table 1. 18S served as the reference housekeeping gene. Primers were normalized by specific cDNA standard curves obtained from known amounts of cDNA.
Table 1.
miRNA was converted into cDNA using the qScript microRNA cDNA synthesis kit (Quanta Biosciences, USA) and was then amplified using Perfecta Universal PCR primer kit (Quanta Bioscience, USA). qPCR was performed with Perfecta SYBR Green using specific primers for mir-has-608 (Quanta bioscience, USA). The reference genes (Snord 44 and RNV6) primers were supplied with the kit (sequence not available).
Human blood samples
Whole blood samples were collected from 56 subjects with fibrosing interstitial lung disease (ILD). DNA was purified from these samples using QaiSymphony (Qaigen). Their demographic data, as well as disease progression and final diagnosis were also recorded.
Gene sequencing
DNA was amplified using PCRBIO HS Taq master mix (PCR Biosystems) with specific primers for the AchE: Forward 5′-CGCTGGAGCTCCTACATGGT-3′ and Reverse 5′-ATAGACTCGGCCCCGTGAT-3′. Products were purified using FastAP Thermosensitive Alkaline Phosphatase (Thermo-Fisher scientific). Then, sequencing was performed using BigDye™ Terminator v3.1 Cycle Sequencing Kit (Thermo-Fisher Scientific) according to manufacturer’s instructions. The target sequence was analysed by 3130 Genetic analyser (Applied Biosystems) for determining A/C allele single nucleotide polymorphism (SNP) at rs17228616.
Statistical analysis
Statistical analysis was done using GraphPad Prism version 7.00 for Windows (GraphPad Software, La Jolla California USA, www.graphpad.com). ANOVA was performed to compare differences between multiple cohorts. Student’s t tests were employed to analyze differences between two groups. Frequencies were calculated using a Chi-square test. An effect was considered significant when the p value was < 0.05. All experiments were repeated at least three times.
Ethical approval
This study was approved by the local Ethics Committee (MMC-18-18). Informed consent was obtained from all subjects.
Results
MiR-608 is overexpressed in lung tissue samples from IPF patients
The expression of miR-608 in was evaluated in IPF FFPE patient samples (n = 18) versus histologically confirmed control tissue samples (n = 8). The IPF group consisted of 50% males, with the average age of 65.5 ± 8.5 years. The control group also consisted of 50% males, with the average age of 59.3 ± 18 years. There were no significant differences between the groups regarding comorbidities (other than ILD). Interestingly, a significant overexpression of miR-608 was found in IPF patient samples, in comparison with controls (p < 0.05, Fig. 1). Using the miRDB search (http://mirdb.org/cgi-bin/search.cgi), 975 possible targets for miR-608 were identified. These results were then subjected to WEB-based Gene set analysis toolkit (WebGestalt, http://www.webgestalt.org). We analysed the overrepresentation analysis (ORA) for disease (OMIM) functional database. Interestingly, IPF was the most significantly over-represented disease, with an enrichment ratio of 78 (PULMONARY FIBROSIS, IDIOPATHIC, gene set 178500, FDR = 0.00025).
Cdc42 levels are significantly reduced in IPF patient samples
RhoGTPase Cdc42 is an established target of miR-608 [11]. Moreover, it was recently implicated in lung fibrosis [13]. Thus, we measured the expression level of Cdc42 in IPF patient samples, in comparison to controls. Both Cdc42 transcript variant levels (v1 NM_001791 and v2 NM_044472) were significantly lower in samples from IPF patients compared to the control samples (p < 0.001, Fig. 2a, b).
IL-6 levels are downregulated in IPF patient samples
IL-6 is well-known cytokine in IPF and another validated target of miR-608 [11]. qPCR was performed to measure the expression of IL-6 in IPF patients compared with healthy individuals. In fact, IL-6 levels were lower in the IPF patient FFPE samples compared with controls (p < 0.05, Fig. 2c). This result is in key with the hypothesis stating an inhibitory relationship between miR-608 and its targets.
The C2098A substitution (minor rs17228616 allele) at the AChE sequence is more prevalent in IPF patients
Since both IL-6 and Cdc42 were downregulated in the FFPE samples from patients with IPF, we hypothesized that the presence of the minor A-allele (C2098A) could be higher in subjects with IPF. Thus, 56 patients were recruited and their DNA was sequenced for the A/C allele. Patient characteristics are listed in Table 2. 62.5% were male with the average age of 65.82 ± 12.
Table 2.
Parameter | A-allele n = 17 |
C-allele n = 39 |
p value |
---|---|---|---|
Age | 62 ± 14 | 62.4 ± 11 | 0.9 |
Gender (%male) | 12 (70%) | 23 (58.9%) | 0.41 |
Smoker | 13 (76.4%) | 20 (51.2%) | 0.08 |
Rapidly progressing diseasea | 6 (35.2%) | 8 (20.5%) | 0.24 |
FVC % | 59 ± 14.5 | 70 ± 19 | 0.02 |
DLCO % | 46.2 ± 17 | 48.6 ± 17 | 0.66 |
BMI | 27.6 ± 5 | 28.4 ± 4.5 | 0.61 |
IHD | 5 (29.4%) | 7 (17.9%) | 0.34 |
CHF | 1 (5.9%) | 2 (5.1%) | 0.9 |
Diabetes | 7 (41.2%) | 16 (41%) | 1 |
Anxiety | 1 (5.9%) | 6 (15.4%) | 0.3 |
Hypertension | 6 (35.2%) | 11 (28.2%) | 0.64 |
Osteoporosis | 4 (23.5%) | 7 (17.9%) | 0.63 |
Malignancy | 1 (5.9%) | 5 (12.8%) | 0.44 |
BMI body mass index, CHF Congestive Heart Failure, DLCO diffusing capacity for carbon monoxide, FVC forced vital capacity, IHD Ischemic heart disease
aA fall in %FVC of over 10% per year was defined as rapidly progressing
Of these subjects, the frequency of the A-allele was 17/56 (30.4%) with all patients being heterozygous for the minor A-allele (Fig. 3). This result is significant vs. the published Israeli cohort of healthy individuals, which reported 17% prevalence of this allele in healthy control volunteers (p = 0.01, OR = 2.1, CI 95% [1.19–3.9]).
Of them, 64.5% were diagnosed with IPF and the rest with other types of ILD [e.g. NSIP (14.5%), silicosis (3.6%), hypersensitivity pneumonitis (HP, 3.6%), sarcoidosis (1.8%) and the rest were determined as unclassifiable pulmonary fibrosis ILD (12%)]. In addition, we followed up these patients’ disease progression to determine whether they are rapidly progressing, as previously defined by the annual decline in FVC% [15–18]. We found that of the minor allele population, more patients presented with a rapid progressing disease (35.4% vs. 20%, p = 0.24), yet this result did not reach significance.
When comparing between the A to the C allele groups' lung function tests at the time of diagnosis, a significantly reduced FVC at diagnosis for the A group was observed (Table 2, p = 0.02).
Discussion
Numerous pathways were implicated and major progress has been made towards understanding IPF etiology [19]. However, as recently stated by McDonough et al. [20], since the UIP pattern cannot be replicated in animal models, we have no information about what regulates progression of IPF in the human lung. Thus, in this work we focused on the primate specific miRNA that was previously implicated in aging related diseases. We found that miR-608 was significantly upregulated in IPF tissue samples. In addition, we found that the minor rs17228616 allele was more abundant in IPF patients than in the general population.
miR-608 is located on human chromosome 10q24.31. Although not aforementioned in IPF [21], current studies in tumors indicate that miR-608 affects cell proliferation, invasion, migration and apoptosis [22, 23]. Although the expression level of miR-608 was found to be downregulated in several types of cancer [10, 24–27], these studies did not take into account the SNPs that can significantly affect miRNA stability and function [9].
The major SNP of miR-608 mentioned in cancer is the rs4919510 variant G allele. This SNP was suggested to affect the expression of mature miR-608, as well as that of the proinflammatory cytokines TNF-α, IL-6, and IL-1β. Nevertheless, there are conflicting results for the association between the presence of miR-608 rs4919510 and susceptibility to tumors [10, 28–30]. Although IPF and lung cancer are sometimes seen in the same patients [31], since we observed an upregulation in the miR-608, rs4919510 was not studied and our focus was shifted to other directions.
To date, limited targets of miR-608 have been confirmed in-vitro, and were mostly performed in tumor cell lines [32]. Our study focused on two targets that were previously implicated in IPF, IL-6 and Cdc42 [13, 14]. Both targets were found to be down-regulated in IPF patient samples. Supporting these results, our recent work, showed that the IL-6R protein level is also reduced in tissue samples taken from IPF patient biopsies [14]. A recent study by Wu et al. [13], suggested that Cdc42 is an important post-transcriptional regulator that may play a significant role in the process of inflammation. They found that AT2 cells that lack Cdc42 are not able to differentiate into AT1 cells and, thus, cannot regenerate new alveoli following lung injury. Although IPF is not considered to be an inflammatory disease per se, pro-inflammatory factors, such as IL-6, TNF-alpha and IFN-y were shown to contribute to disease progression [14, 33].
Our work was inspired by a group of researchers who studied miR-608 in the context of anxiety [11]. Several studies reported that symptoms of depression and anxiety are common in patients with IPF. Such studies indicated prevalence of depression ranges from 24.3 to 49.2%, while that of anxiety reaching 60% in patients with IPF and other ILDs [34–38]. Although a causality of anxiety or depression could be expected, it is possible to assume a genetic predisposition as well. However, the presence of anxiety was not fully addressed in this work, as it relied on electronic patient records and therefore is most likely underestimated or under-recorded [39]. For this issue to be addressed, there is a need for questionnaires, which were not done in this study.
The altered interaction of miR-608 with AChE and the resulting changes, which give rise to a higher ratio of suppression by miR-608 of its other targets, including CdC42 and IL-6, correlate to our results. Hanin et al. showed that young, healthy volunteers with the minor rs17228616 allele showed elevated blood pressure and reduced cortisol, predicting risk of aging-related diseases, such as IPF. Our cohort of patients with progressive fibrosing ILDs, mostly IPF, was shown to include significantly higher prevalence of minor A-allele in comparison to the healthy cohort presented by this group. Since both populations were from Israel, we can also assume similar genetic backgrounds. These results require further investigation in a large cohort to determine the polymorphism in this patient population.
In conclusion, although the number of patients was limited, a significant effect was reached. We found that miR-608 is overexpressed in IPF patients, and that this population includes 30% of a specific SNP in AChE that was previously implicated as relevant to aging related diseases. These findings require further research in a large study cohort.
Acknowledgements
The authors thank Ms. Tatiana Epstein for the English editing. We also thank the team at the Molecular genetics laboratory for their help with the sequencing analyses.
Abbreviations
- AchE
Acetylcholine esterase
- BMI
Body mass index
- CHF
Congestive Heart Failure
- DLCO
Diffusing capacity for carbon monoxide
- FFPE
Formalin fixed paraffin embedded
- FVC
Forced vital capacity
- IHD
Ischemic heart disease
- IL-6
Interlukin-6
- ILD
Interstitial lung disease
- IPF
Idiopathic pulmonary fibrosis
- ORA
Overrepresentation analysis
- SNP
Single-nucleotide polymorphisms
- UIP
Usual interstitial pneumonia
Authors’ contributions
GES drafted the manuscript, designed the experiments and analyzed the results, IK performed the experiments and analyzed the results, OW revised it critically for important intellectual content, while DS and LIS contributed to conception and design, drafting the manuscript for important intellectual content and revised the final version. All authors read and approved the final manuscript.
Funding
No funding was received for this work.
Availability of data and materials
The datasets generated and/or analyzed during the current study are not publicly available due to patient confidentiality, but are available from the corresponding author on reasonable request.
Ethics approval and consent to participate
The study was approved by the Ethics Committee of Meir Medical Center. All procedures were performed in accordance with the Declaration of Helsinki. Signed informed consent was obtained from all patients.
Consent for publication
Not applicable.
Competing interests
All authors declare no conflict of interest and have consented for publication.
Footnotes
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Gali Epstein Shochet and Lilach Israeli-Shani have contributed equally to this work
Contributor Information
Gali Epstein Shochet, Email: gali.epstein@clalit.org.il.
Lilach Israeli-Shani, Email: lilach.israeli@clalit.org.il.
Isabelle Kains, Email: isabellekains@gmail.com.
Ori Wand, Email: ori.wand@clalit.org.il.
David Shitrit, Email: Davids3@clalit.org.il.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The datasets generated and/or analyzed during the current study are not publicly available due to patient confidentiality, but are available from the corresponding author on reasonable request.