Next Article in Journal
Correction: Noordien et al. In Vivo Study of Aerosol, Droplets and Splatter Reduction in Dentistry. Viruses 2021, 13, 1928
Previous Article in Journal
Emergence and Prevalence of an African Swine Fever Virus Variant in Wild Boar Populations in South Korea from 2019 to 2022
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Viruses
Volume 15
Issue 8
10.3390/v15081668
viruses-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Peripheral Blood and Nasopharyngeal Swab MiRNA-155 Expression in Infants with Respiratory Syncytial Virus Infection

by
Francesco Savino
1,
Stefano Gambarino
2,
Maddalena Dini
2,
Andrea Savino
3,
Anna Clemente
2,
Cristina Calvi
2,4,
Ilaria Galliano
2,4 and
Massimiliano Bergallo
2,4,*
1
Early Infancy Special Care Unit, Regina Margherita Children Hospital, A.O.U. Città della Salute e della Scienza di Torino, 10126 Turin, Italy
2
Department of Public Health and Pediatric Sciences, Paediatric Laboratory, University of Turin, Medical School, 10136 Turin, Italy
3
Post Graduate School of Pediatrics, Univeristy of Turin, 10124 Turin, Italy
4
Department of Pediatrics, Infectious Diseases Unit, Regina Margherita Children’s Hospital, University of Turin, Piazza Polonia 94, 10126 Turin, Italy
*
Author to whom correspondence should be addressed.
Viruses 2023, 15(8), 1668; https://doi.org/10.3390/v15081668
Submission received: 14 July 2023 / Revised: 27 July 2023 / Accepted: 30 July 2023 / Published: 31 July 2023
(This article belongs to the Section Human Virology and Viral Diseases)
Browse Figures
Review Reports Versions Notes

Abstract

:
Introduction. MicroRNA (miR) 155 has been implicated in the regulation of innate and adaptive immunity as well as antiviral responses, but its role during respiratory syncytial virus (RSV) infections is not known. The objective of this study was to investigate the expression of miR-155 using pharyngeal swabs and peripheral blood in infants with RSV infection and uninfected controls. Methods. A prospective age-matched study was conducted in primary care in Torino from 1 August 2018 to 31 January 2020. We enrolled 66 subjects, 29 of them patients with RSV infection and 37 age-matched uninfected controls, and collected pharyngeal swabs and peripheral blood in order to assess miR-155 expression with real-time stem–loop–TaqMan real-time PCR. Results. The data show that there is no correlation between pharyngeal swabs and peripheral blood with respect to miR-155 expression. The 1/ΔCq miR-155 expression levels in throat swabs in RSV bronchiolitis patients and healthy controls were 0.19 ± 0.11 and 0.21 ± 0.09, respectively, and were not significantly different between healthy controls and bronchiolitis (p = 0.8414). In the peripheral blood, miR-155 levels were higher than those of healthy control subjects: 0.1 ± 0.013 and 0.09 ± 0.0007, respectively; p = 0.0002. Discussion. Our data provide evidence that miR-155 expression is higher in peripheral blood during RSV infection but not in swabs. This difference in the timing of sample recruitment could explain the differences obtained in the results; miR-155 activation is probably only assessable in the very early stages of infection in the swab and remains visible for longer in the blood. New investigations are needed in order to clarify whether the miR-155 expression in swabs can be influenced by different stages of virus disease of infants.

1. Introduction

Respiratory syncytial virus (RSV) is the main cause of respiratory infections and of hospitalization for bronchiolitis among infants younger than 12 months [1]. Worldwide, RSV causes nearly 34 million lower respiratory tract infections (LRTI) and 3.4 million hospitalizations per year in infants and children younger than 5 years, with an estimated annual increase of 10% [2,3]. RSV is currently a public health problem in many countries, including Italy [4]. RSV was previously included in the subfamily Paramixoviridae but was recently reclassified in the family Pneumoviridae [5]; the virus is characterized by a large envelope and negative-sense RNA encoding 11 glycoproteins. RSV infections are seasonal, peaking during the winter months in temperate regions [6,7]. Young children, the elderly, and people with chronic diseases are at greatest risk for severe RSV infections [8,9].
MicroRNAs (miRNAs) are small non-coding RNAs that inhibit translation of mRNA to protein by binding to a specific target mRNA [10]. Several studies have investigated miRNA responses to RSV in vitro [11,12]. miR-155 expression has been shown to be elevated following influenza A and SARS-CoV-2 viral infection [13,14]. In addition, miR-155 has been shown to be remarkably upregulated during vesicular stomatitis viral infection, and it promoted type I interferon signaling [15], which is potentially pathogenic in influenza infection, according to a previous study [16]. Viruses can induce the up-/downregulation of certain host miRNAs to evade the host’s immune system, enabling the defense mechanisms to combat the infection [17,18].
Previous data on mechanisms regulated by miRNAs suggest a likely role in RSV infection; miRNAs are involved in the regulation of immune and/or inflammatory pathways at different levels [19,20,21], and for this reason, studies in this area are needed to better elucidate the interaction between RSV and host, especially in the first month of life. In this context, gene regulation mechanisms could represent an innovative way to identify potential biomarkers of infection in order to develop antiviral therapeutics for certain diseases for which no real treatment is yet available, such as RSV infection. Studies in human infants have found that during naturally occurring rhinovirus (RV) or respiratory syncytial virus (RSV) infections, the airways produce abundant miR-155. However, the role of miR-155 in viral respiratory infections remains an important unresolved paradox. Although miR-155 is essential for the generation of host TH1 antiviral immunity, it may also contribute to respiratory disease by enhancing allergic TH2 responses and NFkB-mediated inflammation in macrophages and other bone marrow-derived immune cells [21].
Over the past decade, noncoding RNAs (ncRNAs) and miRNAs have emerged as novel tools for medical decision making. They are easily measured by standard techniques already used in clinical laboratories, such as RT-qPCR. miRNAs are sensitive, robust, and inexpensive biomarkers that provide additional information to already established clinical variables and clinical indicators [22]. They are stable in various body fluids and offer advantages as biomarkers because they are highly conserved among different species and their expression patterns are tissue- and life-phase-specific.
To achieve the aims of the present work, we chose miR-155 with previously validated involvement in infected processes to examine its expression in peripheral blood and pharyngeal swabs from patients with RSV virus infection.

2. Methods

2.1. Subjects

This prospective case-control study was conducted in Turin, Italy, between 1 August 2018 and 31 January 2020. We included healthy, full-term infants hospitalized at Regina Margherita Children Hospital, Turin, Italy, for their first episode of bronchiolitis. Controls were uninfected healthy infants younger than 12 months who attended an outpatient clinic in the Department of Pediatrics for routine postpartum examinations.
Bronchiolitis was diagnosed by trained pediatricians based on clinical signs such as wheezing with or without cough, rales, dyspnea, increased respiratory rate, and retractions of the respiratory muscles. Infants hospitalized with bronchiolitis underwent routine blood tests during their recovery.
The study and the data collection procedure were approved by the Ethics and Research Committee of the Città della Salute e della Scienza di Torino on 24 November 2014, with prot. number 116918. Informed consent was obtained verbally from the parents of the study participants and consigned to their clinical records in accordance with the Italian good clinical practices and hospital clinical investigations guidelines. The samples were anonymized before processing.
The mean age of the 29 infants (45% male and 55% female) infected and examined with RSV was 85 (9–146) days at hospital admission. Their mean gestational age at birth was 38 weeks and their mean birth weight was 3100 g (2780–3730). The 34 infants in the control group (51.6% boys) were admitted with a mean age of 93 (4–48) days, and 41.9% were still exclusively or predominantly breastfed. Their mean gestational age at birth was 37 weeks, and their mean birth weight was 3020 g (2560–3980). They had not been hospitalized for bronchiolitis or other infections. White blood cells, neutrophil granulocytes, and eosinophil granulocytes were obtained from the medical records.
We included age-matched control subjects without viral respiratory infection (with negative viral PCR) recruited during nonrespiratory hospitalizations or outpatient clinic/emergency department visits (n = 37). The characteristics of the study participants are shown in Table 1.
RSV was diagnosed using sensitivities and rapid Antigen Xpert Xpress FLU/RSV (Cepheid, Sunnyvale, CA, USA) at Laboratory of A.U.O. Città della Salute e della Scienza di Torino without molecular confirmation.
The exclusion criteria for the patients and controls included known or suspected premature birth at less than 37 weeks of gestation, confirmed or suspected immune defects (e.g., primary immunodeficiencies, hematological diseases/neoplasms born to HIV+ mothers or other immunodeficiency-inducing diseases), cancers, viral coinfections, autoimmune disorders, food allergy, prematurity, autism spectrum disorder.

2.2. miR Isolation, cDNA Synthesis, and Real-Time PCR

For each throat swab (1 mL) and heparinized blood (0.2 mL) sample, RNA was extracted according to the simply RNA Blood Kit protocol without modification in the Maxwell16 system (Promega, Madison, WI, USA) according to the manufacturer’s instructions. RNA was eluted in a final volume of 50 μL and stored at −80 °C until use. Reverse transcription (starting from 500 ng of total RNA) was performed using the Gene Amp RNA PCR kit (Life technologies, Carlsbad, CA, USA) with modifications: 50 U MMLV RT, 1× PCR buffer II, 1 mM dNTPs, 5 mM MgCl2, 1 U RNase inhibitor, and 0.5 µg miR-155 stem loop primer (SLP) (Table 2) as previously described by the authors [23,24,25]. The reaction was performed in three steps: a first incubation at 16 °C for 30 min, another at 42 °C for 1 h, and a final incubation at 99 °C for 5 min. Purity and concentration of RNA were determined spectrophotometrically using NanoDrop ND-2000 (Thermo Fisher Scientific, Wilmington, DE, USA). After reverse transcription, asymmetric PCR was done using 300 nM specific forward primer, 4 μL 5× Colorless GoTaq® Flexi Buffer, 0.1 U GoTaq® Hot Start Polymerase (Promega, Bergamo, Italy), and 2 μL cDNA, resulting in a final volume of 20 μL. The thermal profile was as follows: 95 °C for 2 min; 30 cycles of 94 °C for 15 s, 55 °C for 30 s, and 72 °C for 20 s 5 μL of the enriched cDNA, referred to as ccDNA, was added to 35 μL of reaction mix containing 200 nM MGB probe, 1000 nM universal reverse primer, 800 nM forward primer (Table 2), and 1× GoTaq PCR Master Mix (Promega) in a final volume of 40 μL. Amplifications were executed on the ABI 7500 Real-Time PCR System (Life Technologies, Carlsbad, CA, USA) in a 96-well plate at 95 °C for 10 min followed by 40 cycles of 95 °C for 15 s and 60 °C for 1 min. Each sample was run in triplicate. The data were acquired in auto Ct mode and ΔCq was calculated by subtracting the Cq value of RNU43 RNA from the Cq value of miRNA of interest [23,24,25].

2.3. Statistical Analysis

The Spearman correlation test was performed to estimate the correlations concerning transcription levels of mir-155 in every sample analyzed (pharyngeal swab and peripheral blood). The Mann–Whitney test was used to compare the mir-155 expression in pharyngeal swabs and peripheral blood of children with bronchiolitis and those of the healthy control population. Statistical investigations were performed using the Prism software (GraphPad Software, La Jolla, CA, USA). In all analyses, p < 0.05 was considered statistically significant.

3. Results

All the patients were previously screened for the RSV infection, based on the medical guidelines for patient healthcare.
miR-155 was detected in all 66 samples (29 RSV-positive infants and 37 healthy controls) of throat swabs and peripheral blood.
Based on relative quantification of 1/ΔCq data, we correlated miR-155 expression in pharyngeal swabs and peripheral blood of all 66 samples using a Spearman test (p-value = 0.5361) (Figure 1). These data showed that there was no correlation between pharyngeal swabs and peripheral blood with respect to miR-155 expression.
Throat swab and peripheral blood miR-155 expression was compared in RSV-positive bronchiolitis patients and healthy uninfected controls.
The 1/ΔCq miR-155 expression levels in throat swabs of RSV bronchiolitis patients and healthy controls were (median age and 25–75% IQR): 0.177, 0.14–0.25, and 0.175, 0.13–0.24, respectively. miR-155 expression levels in RSV bronchiolitis patients were not significantly different between healthy controls and bronchiolitis (p = 0.8414), as shown in Figure 2.
The 1/ΔCq levels of miR-155 expression in the peripheral blood of RSV bronchiolitis patients were higher than those of healthy control subjects (median age and 25–75% IQR): 0.1, 0.09–0.12 and 0.09, 0.09–0.1, respectively; p = 0.0002 (Figure 2).

4. Discussion

miRNAs are paving the way for their routine use in the clinical diagnosis and prognosis of a variety of diseases, such as viral respiratory infections. However, the increasing acceptance and use of molecular-based miRNA assays for research and diagnostic purposes requires rigorous validation before they are used in clinical diagnosis. Several RT-qPCR assays have been developed for miRNA quantification and are currently being made available by companies. Considering the similar small size of miRNAs with common PCR primers, we proposed an optimal alternative method based on stem loop primer [23,24,25].
Studies have shown that miRNAs can be stably detected in saliva samples [26,27,28,29].
Numerous published studied have confirmed the important role of miR-155 in viral infections [13,14]. For example, overexpression of miR-155 led to significant reduction in human HIV replication in macrophages [30]. It has been described that miR-155 regulates viral infections caused by Epstein–Barr [31], Borna disease [32], and reticuloendotheliosis viruses [33,34]. miR-155 suppresses Japanese encephalitis virus (JEV) replication in microglial cells and regulates JEV-induced inflammatory response in mouse brains [35,36]. Studies in human infants [37,38] have identified abundant airway production of miR-155 during naturally occurring infections caused by rhinovirus (RV) or respiratory syncytial virus (RSV). miRNA-155 is well-studied in patients suffering from severe coronavirus disease 2019 (COVID-19) [39].
In agreement with Arroyo et al. [21], in our study we observed increased levels of miR-155 in the peripheral blood of RSV-infected infants compared with healthy controls, but found no significant difference in throat swabs. Arroyo and colleagues collected nasal secretions at the onset of acute respiratory illnesses, whereas RSV infections in our patients were present at least since the third day after hospital admission, which is why we examined the throat swabs at recovery and not on the first day or in the initial phase of viral infections. This difference in the timing of sample recruitment could explain the differences obtained in the results. miR-155 activation is probably only assessable in the very early stages of infection in the swab and remains visible for longer in the blood.
Arroyo et al. [21] reported recently that the airway secretion of miR-155 during viral respiratory infections in young children is associated with enhanced antiviral immunity (Th1-type polarization) in subjects younger than 2 years. Monitoring miRNA levels in pharyngeal swabs during the course of infection might be of great importance, because of their stability in biological fluids and frequent alterations during both chronic and acute airway infections [40]. Probably, the results found in the swab can be used to obtain prognostic value. It can be hypothesized that the expression kinetics of miRNAs is different in the different districts of the body. In the swab, this expression probably reflects a non-inflamed state, synonymous with overcoming the infection, a fact not yet visible in the peripheral blood. As evidence of this fact, none of our patients had a poor prognosis and all survived the infection without sequelae.
We know that upregulation of miR-155 is associated with an acute inflammatory response [41]. Dendritic cells express this miRNA as well as T and B lymphocytes, and is required for their function [42]. miR-155 is produced upon TLR4-mediated NF-κB activation and positively regulates myeloid proliferation and dendritic cell maturation and lymph nodes’ migration [43].
miR-155 is an important modulator of both innate and adaptive immune responses and plays a critical role in viral and parasitic infections, enhancing mammalian host defense mechanisms against pathogens [44,45]. Numerous miRNAs are involved the extensive and intricately coordinated processes and interactively affect multiple regulatory pathways [46]. miRNA was recently shown to contribute to the development of fatal acute respiratory distress syndrome (ARDS) in H1N1 influenza A virus-infected mice, suggesting that it may be a valuable biomarker for tracking individual patient immune responses [47].
To our knowledge, this is the first study of miR-155 expression using both throat swabs and peripheral blood in hospitalized infants with RSV infection. As a limitation of the study, further studies are needed to confirm our data and also new studies with subjects infected with RSV at different ages to clarify whether miR-155 expression may be related to the timing of viral infection. Finally, new research on different miRNAs in RSV disease may provide more information on the mechanisms underlying the link between host immunity and virus. However, our approach to miR-155 provides an understanding of the pervasive effects of this multifunctional miRNA in health and disease and highlights the need for profiling circulating miRNAs to identify clusters and signatures that will aid in patient stratification and treatment.

5. Conclusions

In summary, we found an upregulation of miR-155 in peripheral blood in infants with acute RSV infections at recovery in hospital compared to age-matched uninfected healthy controls, but not in pharyngeal swabs.
Because miR-155 signaling is a sensitive pathway of immunomodulation and can modulate the innate immune system, it is not possible at this time to confirm our hypothesis that expression of miR-155 in the smear is a negative prognostic factor because we did not have patients with a severe prognosis in our series. We plan to expand the panel of miRNAs to be studied and include a larger and more complete casuistry to investigate the prognostic role and possible therapeutic targets.

Author Contributions

F.S. coordinated the projects, conducted the acquisition, analysis, and interpretation of the data, and revised the article. C.C. performed RNA extractions. A.S. enrolled the patients, visited the infants, collected the blood and fecal samples, performed the fecal analysis of calprotectin, analyzed the data, and compiled the references. S.G. performed the RNAextraction and statistical analyses. A.C. and M.D. performed TaqMan real-time reverse-transcription. I.G. performed total RNA extractions. M.B. was the principal investigator, designed the study, and wrote the paper, supplying important intellectual content. All authors critically revised the paper for important intellectual content and approved the final version of the paper. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Clinical data were treated in accordance with the principles of Helsinki Declaration (World Medical Association General Assembly, Seoul, Republic of Korea, October 2008). The study protocol was approved by the ethics committee of Azienda Ospedaliera-Universitaria Città della Salute e della Scienza, Turin (code 116918 24 November 2014).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study. The tests were performed using leftovers of laboratory samples; data were gathered anonymously.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Hall, C.B.; Weinberg, G.A.; Iwane, M.K.; Blumkin, A.K.; Edwards, K.M.; Staat, M.A.; Auinger, P.; Griffin, M.R.; Poehling, K.A.; Erdman, D.; et al. The burden of respiratory syncytial virus infection in young children. N. Engl. J. Med. 2009, 360, 588–598. [Google Scholar] [CrossRef] [Green Version]
  2. Shi, T.; McAllister, D.A.; O’Brien, K.L.; Simoes, E.A.F.; Madhi, S.A.; Gessner, B.D.; Polack, F.P.; Balsells, E.; Acacio, S.; Aguayo, C.; et al. Global, regional, and national disease burden estimates of acute lower respiratory infections due to respiratory syncytial virus in young children in 2015: A systematic review and modelling study. Lancet 2017, 390, 946–958. [Google Scholar] [CrossRef] [Green Version]
  3. Shi, T.; Vennard, S.; Mahdy, S.; Nair, H.; RESCEU Investigators. Risk Factors for Poor Outcome or Death in Young Children with Respiratory Syncytial Virus-Associated Acute Lower Respiratory Tract Infection: A Systematic Review and Meta-Analysis. J. Infect. Dis. 2022, 226 (Suppl. S1), S10–S16. [Google Scholar] [CrossRef] [PubMed]
  4. Kuhdari, P.; Brosio, F.; Malaventura, C.; Stefanati, A.; Orsi, A.; Icardi, G.; Gabutti, G. Human respiratory syncytial virus and hospitalization in young children in Italy. Ital. J. Pediatr. 2018, 44, 50. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  5. Rima, B.; Collins, P.; Easton, A.; Fouchier, R.; Kurath, G.; Lamb, R.A.; Lee, B.; Maisner, A.; Rota, P.; Wang, L. Ictv Report Consortium. ICTV virus taxonomy profile: Pneumoviridae. J. Gen. Virol. 2017, 98, 2912–2913. [Google Scholar] [CrossRef]
  6. Pruccoli, G.; Castagno, E.; Raffaldi, I.; Denina, M.; Barisone, E.; Baroero, L.; Timeus, F.; Rabbone, I.; Monzani, A.; Terragni, G.M.; et al. The Importance of RSV Epidemiological Surveillance: A Multicenter Observational Study of RSV Infection during the COVID-19 Pandemic. Viruses 2023, 15, 280. [Google Scholar] [CrossRef]
  7. McClure, D.L.; Kieke, B.A.; Sundaram, M.E.; Simpson, M.D.; Meece, J.K.; Sifakis, F.; Gasser, R.A., Jr.; Belongia, E.A. Seasonal Incidence of Medically Attended Respiratory Syncytial Virus Infection in a Community Cohort of Adults ≥50 Years Old. PLoS ONE 2014, 9, e102586. [Google Scholar] [CrossRef]
  8. Soni, A.; Kabra, S.K.; Lodha, R. Respiratory Syncytial Virus Infection: An Update. Indian J. Pediatr. 2023. [Google Scholar] [CrossRef]
  9. Ozkan, H.; Celebi, S.; Koksal, N.; Hacımustafaoğlu, M.; Koc, E.; Tezer, H.; Cetinkaya, M.; Cebeci, B.; Erdeve, O.; Ozdemir, H. Turkish Neonatal Society RSV Study Group. Risk Factors for Respiratory Syncytial Virus Infections in Moderate/Late Premature Infants in Turkey: A Prospective Multicenter Epidemiological Study. Am. J. Perinatol. 2021, 38, 1540–1546. [Google Scholar] [CrossRef] [PubMed]
  10. de Fougerolles, A.; Vornlocher, H.P.; Maraganore, J.; Lieberman, J. Interfering with disease: A progress report on siRNA-based therapeutics. Nat. Rev. Drug Discov. 2007, 6, 443–453. [Google Scholar] [CrossRef]
  11. Barnes, M.V.C.; Openshaw, P.J.M.; Thwaites, R.S. Mucosal Immune Responses to Respiratory Syncytial Virus. Cells 2022, 11, 1153. [Google Scholar] [CrossRef] [PubMed]
  12. Othumpangat, S.; Walton, C.; Piedimonte, G. MicroRNA-221 modulates RSV replication in human bronchial epithelium by targeting NGF expression. PLoS ONE 2012, 7, e30030. [Google Scholar] [CrossRef] [Green Version]
  13. Wu, Z.; Hao, R.; Li, P.; Zhang, X.; Liu, N.; Qiu, S.; Wang, L.; Wang, Y.; Xue, W.; Liu, K.; et al. MicroRNA expression profile of mouse lung infected with 2009 pandemic H1N1 influenza virus. PLoS ONE 2013, 8, e74190. [Google Scholar] [CrossRef] [PubMed]
  14. Gaytán-Pacheco, N.; Ibáñez-Salazar, A.; Herrera-Van Oostdam, A.S.; Oropeza-Valdez, J.J.; Magaña-Aquino, M.; Adrián López, J.; Monárrez-Espino, J.; López-Hernández, Y. miR-146a, miR-221, and miR-155 are Involved in Inflammatory Immune Response in Severe COVID-19 Patients. Diagnostics 2022, 13, 133. [Google Scholar] [CrossRef] [PubMed]
  15. Wang, P.; Hou, J.; Lin, L.; Wang, C.; Liu, X.; Li, D.; Ma, F.; Wang, Z.; Cao, X. Inducible microRNA-155 feedback promotes type I IFN signaling in antiviral innate immunity by targeting suppressor of cytokine signaling 1. J. Immunol. 2010, 185, 6226–6233. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  16. Davidson, S.; Crotta, S.; McCabe, T.M.; Wack, A. Pathogenic potential of interferon alphabeta in acute influenza infection. Nat. Commun. 2014, 5, 3864. [Google Scholar] [CrossRef] [Green Version]
  17. Girardi, E.; López, P.; Pfeffer, S. On the Importance of Host MicroRNAs During Viral Infection. Front. Genet. 2018, 9, 439. [Google Scholar] [CrossRef] [Green Version]
  18. Guo, X.; Zhang, Q.; Gao, L.; Li, N.; Chen, X.; Feng, W. Increasing Expression of MicroRNA 181 Inhibits Porcine Reproductive and Respiratory Syndrome Virus Replication and Has Implications for Controlling Virus Infection. J. Virol. 2013, 87, 1159–1171. [Google Scholar] [CrossRef] [Green Version]
  19. Liu, Z.; Fan, P.; Chen, M.; Xu, Y.; Zhao, D. miRNAs and Leukotrienes in Respiratory Syncytial Virus Infection. Front. Pediatr. 2021, 9, 602195. [Google Scholar] [CrossRef]
  20. Garg, A.; Seeliger, B.; Derda, A.; Xiao, K.; Gietz, A.; Scherf, K.; Sonnenschein, K.; Pink, I.; Hoeper, M.; Welte, T.; et al. Circulating cardiovascular microRNAs in critically ill COVID-19 patients. Eur. J. Heart Fail. 2021, 23, 468–475. [Google Scholar] [CrossRef]
  21. Arroyo, M.; Salka, K.; Chorvinsky, E.; Xuchen, X.; Abutaleb, K.; Perez, G.F.; Weinstock, J.; Gaviria, S.; Gutierrez, M.J.; Nino, G. Airwaymir-155 responsesare associated with TH1 cytokine polarization in young children with viral respiratory infections. PLoS ONE 2020, 5, e0233352. [Google Scholar]
  22. Kang, K.; Peng, X.; Luo, J.; Gou, D. Identification of circulating miRNA biomarkers based on global quantitative real-time PCR profiling. J. Anim. Sci. Biotechnol. 2012, 3, 4. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  23. Bergallo, M.; Gambarino, S.; Montanari, P.; Daprà, V.; Rassu, M.; Galliano, I.; Ravanini, P. miR-155 expression is downregulated in kidney transplant patients with human cytomegalovirus infection. Transpl. Immunol. 2017, 43, 60–63. [Google Scholar] [CrossRef] [PubMed]
  24. Daprà, V.; Galliano, I.; Rassu, M.; Calvi, C.; Montanari, P.; Bergallo, M. miR-155 expression is downregulated in hematopoietic stem cell transplantation patients with Epstein-Barr virus infection. Minerva Pediatr. 2023, 75, 550–556. [Google Scholar] [CrossRef]
  25. Bergallo, M.; Gambarino, S.; Martino, S.; Montin, D.; Montanari, P.; Galliano, I.; Tovo, P.A. Comparison of Two Available RNA Extraction Protocols for microRNA Amplification in Serum Samples. J. Clin. Lab. Anal. 2016, 30, 277–283. [Google Scholar] [CrossRef] [PubMed]
  26. Salazar, C.; Nagadia, R.; Pandit, P.; Cooper-White, J.; Banerjee, N.; Dimitrova, N.; Coman, W.B.; Punyadeera, C.L. A novel saliva-based microRNA biomarker panel to detect head and neck cancers. Cell Oncol. 2014, 37, 331–338. [Google Scholar] [CrossRef]
  27. Park, N.J.; Zhou, H.; Elashoff, D.; Henson, B.S.; Kastratovic, D.A.; Abemayor, E.; Wong, D.T. Salivary microRNA: Discovery, characterization, and clinical utility for oral cancer detection. Clin. Cancer Res. 2009, 15, 5473–5477. [Google Scholar] [CrossRef] [Green Version]
  28. Patel, R.S.; Jakymiw, A.; Yao, B.; Pauley, B.A.; Carcamo, W.C.; Katz, J.; Cheng, J.Q.; Chan, E.K. High resolution of microRNA signatures in human whole saliva. Arch. Oral Biol. 2011, 56, 1506–1513. [Google Scholar] [CrossRef] [Green Version]
  29. Wu, W.D.; Hou, W.J.; Wu, Z.F.; Wang, Y.; Yi, Y.; Lin, W. miRNA-144 in the saliva is a genetic marker for early diagnosis of esophageal cancer. J. South Med. Univ. 2013, 33, 1783–1786. [Google Scholar]
  30. Swaminathan, G.; Rossi, F.; Sierra, L.J.; Gupta, A.; Navas-Martin, S.; Martin-Garcia, J. A role for microRNA-155 modulation in the anti-HIV-1 effects of Toll-like receptor 3 stimulation in macrophages. PLoS Pathog. 2012, 8, e1002937. [Google Scholar] [CrossRef] [Green Version]
  31. Jiang, J.; Lee, E.J.; Schmittgen, T.D. Increased expression of microRNA-155 in Epstein-Barr virus transformed lymphoblastoid cell lines. Genes Chromosomes Cancer 2006, 45, 103–106. [Google Scholar] [CrossRef] [PubMed]
  32. Zhai, A.; Qian, J.; Kao, W.; Li, A.; Li, Y.; He, J.; Zhang, Q.; Song, W.; Fu, Y.; Wu, J.; et al. Borna disease virus encoded phosphoprotein inhibits host innate immunity by regulating miR-155. Antivir. Res. 2013, 98, 66–75. [Google Scholar] [CrossRef] [PubMed]
  33. Bolisetty, M.T.; Dy, G.; Tam, W.; Beemon, K.L. Reticuloendotheliosis virus strain T induces miR-155, which targets JARID2 and promotes cell survival. J. Virol. 2009, 83, 12009–12017. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  34. Yao, Y.; Vasoya, D.; Kgosana, L.; Smith, L.P.; Gao, Y.; Wang, X.; Watson, M.; Nair, V. Activation of gga-miR-155 by reticuloendotheliosis virus T strain and its contribution to transformation. J. Gen. Virol. 2017, 98, 810–820. [Google Scholar] [CrossRef] [PubMed]
  35. Thounaojam, M.C.; Kaushik, D.K.; Kundu, K.; Basu, A. MicroRNA-29b modulates Japanese encephalitis virus-induced microglia activation by targeting tumor necrosis factor alpha-induced protein 3. J. Neurochem. 2014, 129, 143–154. [Google Scholar] [CrossRef]
  36. Thounaojam, M.C.; Kundu, K.; Kaushik, D.K.; Swaroop, S.; Mahadevan, A.; Shankar, S.K.; Basu, A. MicroRNA 155 regulates Japanese encephalitis virus-induced inflammatory response by targeting Src homology 2-containing inositol phosphatase 1. J. Virol. 2014, 88, 4798–4810. [Google Scholar] [CrossRef] [Green Version]
  37. Gutierrez, M.J.; Gomez, J.L.; Perez, G.F.; Pancham, K.; Val, S.; Pillai, D.K.; Giri, M.; Ferrante, S.; Freishtat, R.; Rose, M.C.; et al. Airway Secretory microRNAome Changes during Rhinovirus Infection in Early Childhood. PLoS ONE 2016, 11, e0162244. [Google Scholar] [CrossRef] [Green Version]
  38. Inchley, C.S.; Sonerud, T.; Fjærli, H.O.; Nakstad, B. Nasal mucosal microRNA expression in children with respiratory syncytial virus infection. BMC Infect. Dis. 2015, 25, 15–150. [Google Scholar] [CrossRef] [Green Version]
  39. Asadpour-Behzadi, A.; Kariminik, A.; Kheirkhah, B. MicroRNA-155 is a main part of proinflammatory puzzle during severe coronavirus disease 2019 (COVID-19). Allergol. Immunopathol. 2023, 51, 115–119. [Google Scholar] [CrossRef]
  40. Mirzaei, R.; Mahdavi, F.; Badrzadeh, F.; Hosseini-Fard, S.R.; Heidary, M.; Jeda, A.S.; Mohammadi, T.; Roshani, M.; Yousefimashouf, R.; Keyvani, H.; et al. The emerging role of microRNAs in the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. Int. Immunopharmacol. 2021, 90, 107204. [Google Scholar] [CrossRef]
  41. Montagner, S.; Orlandi, E.M.; Merante, S.; Monticelli, S. The role of miRNAs in mast cells and other innate immune cells. Immunol. Rev. 2013, 253, 12–24. [Google Scholar] [CrossRef] [PubMed]
  42. Rodriguez, A.; Vigorito, E.; Clare, S.; Warren, M.V.; Couttet, P.; Soond, D.R.; van Dongen, S.; Grocock, R.J.; Das, P.P.; Miska, E.A.; et al. Requirement of bic/microRNA-155 for normal immune function. Science 2007, 316, 608–611. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  43. O’Connell, R.M.; Chaudhuri, A.A.; Rao, D.S.; Baltimore, D. Inositol phosphatase SHIP1 is a primary target of miR-155. Proc. Natl. Acad. Sci. USA 2009, 106, 7113–7118. [Google Scholar] [CrossRef] [PubMed]
  44. Li, L.; Lee, H.H.; Bell, J.J.; Gregg, R.K.; Ellis, J.S.; Gessner, A.; Zaghouani, H. IL-4 utilizes an alternative receptor to drive apoptosis of Th1 cells and skews neonatal immunity toward Th2. Immunity 2004, 20, 429–440. [Google Scholar] [CrossRef] [Green Version]
  45. Jafarzadeh, A.; Naseri, A.; Shojaie, L.; Nemati, M.; Jafarzadeh, S.; Bannazadeh Baghi, H.; Hamblin, M.R.; Akhlagh, S.A.; Mirzaei, H. MicroRNA-155 and antiviral immune responses. Int. Immunopharmacol. 2021, 101, 108188. [Google Scholar] [CrossRef]
  46. Kozomara, A.; Birgaoanu, M.; Griffiths-Jones, S. miRBase: From microRNA sequences to function. Nucl Acids Res. 2018, 47, D155–D162. [Google Scholar] [CrossRef]
  47. Woods, P.S.; Doolittle, L.M.; Rosas, L.E.; Nana-Sinkam, S.P.; Tili, E.; Davis, I.C. Increased expression of microRNA-155-5p by alveolar type II cells contributes to development of lethal ARDS in H1N1 influenza A virus-infected mice. Virology 2020, 545, 40–52. [Google Scholar] [CrossRef]
Viruses 15 01668 g001 550
Figure 1. Correlations between transcription levels of mir155 in whole blood and nasopharyngeal swabs: relative quantification. Circles show the mean of three individual measurements. Line: linear regression line. Statistical analysis: Spearman correlation test.
Figure 1. Correlations between transcription levels of mir155 in whole blood and nasopharyngeal swabs: relative quantification. Circles show the mean of three individual measurements. Line: linear regression line. Statistical analysis: Spearman correlation test.
Viruses 15 01668 g001
Viruses 15 01668 g002 550
Figure 2. Expression of mir155 in nasopharyngeal swabs and whole blood from 29 patients with RSV-bronchiolitis and 37 healthy controls (HC). 1/DCt: relative quantification. Circles and squares show the median of three individual measurements, horizontal lines the median values. Statistical analysis: the Mann–Whitney test was used to compare the transcriptional levels of mir155 between children with bronchiolitis and control children.
Figure 2. Expression of mir155 in nasopharyngeal swabs and whole blood from 29 patients with RSV-bronchiolitis and 37 healthy controls (HC). 1/DCt: relative quantification. Circles and squares show the median of three individual measurements, horizontal lines the median values. Statistical analysis: the Mann–Whitney test was used to compare the transcriptional levels of mir155 between children with bronchiolitis and control children.
Viruses 15 01668 g002
Table
Table 1. Characteristics of the two study groups of infants involved in the study: those infected by RSV and healthy controls.
Table 1. Characteristics of the two study groups of infants involved in the study: those infected by RSV and healthy controls.
Infected by RSV
(n = 29)		Healthy Controls
(n = 37)		p-Value
Type of delivery:
vaginal/caesarean18/1122/15N.S.
Age at enrolment
(mean days, range)		85 (9–146)93 (9–48)N.S. *
Gender
Male, n (%)13 (46)19 (51)N.S. #
Female n (%)16 (54)18 (49)N.S. #
Birth weight (g, range.)3500 (2780–3730)3020 (2560–3980)N.S. *
Gestational age (wks ± s.d.)38 ± 237 ± 1.5N.S. *
# Fisher’s test, * Mann–Whitney test.
Table
Table 2. Primers and probe list. All the sequences are reported in 5′–3′ direction.
Table 2. Primers and probe list. All the sequences are reported in 5′–3′ direction.
TargetRNU43
sequenceGAACUUAUUGACGGGCGGACAGAAACUGUGUGCUGAUUGUCACGUUCUGAUU
SLPGGCTCTGGTGCAGGGTCCGAGGTATTCGCACCAGAGCCAATCAG
ForwardTGACGGGCGGACAGAAA
Probe MGB famTGTGTGCTGATTGTCA
TargetmiR-155
sequenceUUAAUGCUAAUCGUGAUAGGGGU
SLPGGCTCTGGTGCAGGGTCCGAGGTATTCGCACCAGAGCCACCCCT
ForwardCGCAGTTAATGCTAATCGTGATA
Probe MGB famGGGGTGGCTCTGG
Universal reverse primerTGCAGGGTCCGAGGTATTC
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Savino, F.; Gambarino, S.; Dini, M.; Savino, A.; Clemente, A.; Calvi, C.; Galliano, I.; Bergallo, M. Peripheral Blood and Nasopharyngeal Swab MiRNA-155 Expression in Infants with Respiratory Syncytial Virus Infection. Viruses 2023, 15, 1668. https://doi.org/10.3390/v15081668

AMA Style

Savino F, Gambarino S, Dini M, Savino A, Clemente A, Calvi C, Galliano I, Bergallo M. Peripheral Blood and Nasopharyngeal Swab MiRNA-155 Expression in Infants with Respiratory Syncytial Virus Infection. Viruses. 2023; 15(8):1668. https://doi.org/10.3390/v15081668

Chicago/Turabian Style

Savino, Francesco, Stefano Gambarino, Maddalena Dini, Andrea Savino, Anna Clemente, Cristina Calvi, Ilaria Galliano, and Massimiliano Bergallo. 2023. "Peripheral Blood and Nasopharyngeal Swab MiRNA-155 Expression in Infants with Respiratory Syncytial Virus Infection" Viruses 15, no. 8: 1668. https://doi.org/10.3390/v15081668

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop