Literature DB >> 31315491

Association between osteopontin expression and asthma: a meta-analysis.

Hangdi Xu1, Wei Lou2, Fangfang Fu3,4.   

Abstract

Entities:  

Keywords:  Osteopontin; airway remodeling; allergic reaction; asthma; bronchial hyperreactivity; immunomodulation; meta-analysis

Mesh:

Substances:

Year:  2019        PMID: 31315491      PMCID: PMC6726815          DOI: 10.1177/0300060519860684

Source DB:  PubMed          Journal:  J Int Med Res        ISSN: 0300-0605            Impact factor:   1.671


× No keyword cloud information.

Introduction

Asthma is a chronic inflammatory disorder of the conducting airways that results in variable airflow obstruction due to various stimuli and is associated with structural alterations of airway components, a process known as airway remodeling.[1] The pathogenesis of asthma is typically associated with Th1/Th2 response imbalances and IgE-mediated type I allergies.[1,2] Osteopontin (OPN) is a phosphorylated acidic glycoprotein that was originally regarded as a structural component of the extracellular matrix; it can bind proteins and most types of collagen.[3] OPN can act as both an extracellular matrix molecule and a cytokine. Notably, OPN is produced by a variety of immune cells and structural cells, such as macrophages, T-cells, natural killer cells, B cells, fibroblasts, smooth muscle cells, and epithelial cells. In addition, OPN can promote the proliferation and migration of fibroblasts and smooth muscle cells in mice; it can also stimulate collagen production, leading to tissue remodeling.[4] OPN protein expression is increased in many Th1-mediated lung diseases, such as granulomatous diseases, asthma, and pulmonary fibrosis.[5-8] OPN is significantly upregulated in bronchial epithelial cells and dendritic cell subsets. Moreover, it is overexpressed in peripheral blood eosinophils and is involved in the migration of eosinophils into the airways.[9] Finally, OPN plays an important role in chronic airway remodeling, such that OPN knockout mice are protected against airway remodeling and bronchial hyperresponsiveness.[10,11] However, there are conflicting reports regarding the association between OPN protein expression and asthma.[12-20] Several studies have indicated that OPN protein expression is significantly higher in patients with asthma, whereas other studies have shown no change. Moreover, reports regarding the association between OPN expression and asthma severity have shown inconsistent results.[12-14] Therefore, we performed a meta-analysis to more comprehensively investigate the relationship between OPN protein expression and asthma.

Materials and methods

Search strategy

Our meta-analysis complied with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. To identify all articles potentially associated with OPN protein expression and asthma, we searched PubMed, the Web of Science, and the Chinese Medical Database for articles published on or before 31 September 2018. For all three databases, the search terms were asthma and osteopontin (or OPN), and the search strategy was as follows: (“osteopontin”[MeSH Terms] OR “osteopontin”[All Fields] OR “OPN”[All Fields]) AND (asthma [All Fields] OR “asthma” [MeSH Terms]). Referenced original articles and reviews published before 31 September 2018 were also manually retrieved if they were cited by studies found using the main search strategy. This meta-analysis only included articles for which the full text was available in English or Chinese.

Inclusion and exclusion criteria

The included studies met the following criteria: (1) patients with asthma were studied; (2) OPN protein expression was measured in groups of patients; (3) a case–control or cohort study design was used; (4) data were sufficient to estimate standardized mean differences (SMDs). Exclusion criteria were as follows: (1) when data overlapped or were duplicated in multiple studies, only the study with the largest sample size or with the most recent publication date was included in the meta-analysis; (2) all reviews, editorial letters, abstracts, case reports, and commentaries were excluded.

Data extraction and statistical analyses

Two investigators (WL and HX) independently extracted the relevant data from the retrieved articles. Disagreements were resolved by consensus with a third reviewer (FF). The Newcastle–Ottawa quality assessment scale (NOS) was used to assess the methodological quality of the included studies.[21] The SMD and corresponding 95% confidence interval (CI) were used for quantitative data analysis. When a clinical trial provided only the median, range, and size of the trial, we used formulas provided by Hozo et al.[22] to calculate the mean and standard deviation. STATA software (version 10.0, STATA Corporation, College Station, TX, USA) was used to perform quantitative meta-analysis. The heterogeneity of the pooled data was estimated using Cochrane’s Q test and the I2 measurement. Heterogeneity was regarded as significant when P < 0.10 or I2 > 50%, which indicated that a fixed effects model should be used; otherwise, a random effects model was used. To evaluate the validity and reliability of the meta-analysis, a sensitivity analysis was conducted. The risk of publication bias was estimated using Begg’s funnel plot and Egger’s test, where P ≤ 0.10 was indicative of publication bias. A subgroup analysis was performed based on ethnicity and types of specimens.

Results

Characteristics of the included studies

In total, 197 studies were found using the initial literature search strategy. A flowchart depicting the screening process used in this meta-analysis is shown in Figure 1. Fifty-four articles were eliminated because they included duplicate data. Sixteen articles were retained after careful review of their titles and abstracts. After the full texts had been read, seven papers were excluded because of insufficient data. Ultimately, our meta-analysis included nine studies that involved 706 asthma patients and 332 healthy controls. The main characteristics of the nine studies are described in Table 1.
Figure 1.

Flow chart of the study selection protocol.

Table 1.

Main characteristics of included studies regarding the association between OPN protein expression and asthma.

AuthorYearPatients (total = 706)Controls (total = 332)CountrySeverity of asthma (Severe/mild-to-moderate)Type of asthmaDetection methodExamined specimensNOS
Delimpoura V et al.[12]20108320Greece33/50Adult-onsetELISASputum8
Samitas K et al.[13]20115417Greece19/35Adult-onsetELISASerum6
Zhao JJ et al.[14]201113041China39/91Adult-onsetELISASerum7
Akelma AZ et al.[15]20135142JapanNRPediatricELISASerum6
Hillas G et al.[16]201310340GreeceNRAdult-onsetELISASputum8
Yang AM et al.[17]20169830ChinaNRPediatricELISASerum7
Makowska JS et al.[18]20169630PolandNRAdult-onsetELISASerum7
Nacaroglu HT et al.[19]20174375JapanNRPediatricELISAPlasma6
Dombai B et al.[20]20174837HungaryNRAdult-onsetELISAPlasma8

OPN, osteopontin; ELISA, enzyme-linked immunosorbent assay; NOS, Newcastle-Ottawa quality assessment scale; NR, not reported.

Flow chart of the study selection protocol. Main characteristics of included studies regarding the association between OPN protein expression and asthma. OPN, osteopontin; ELISA, enzyme-linked immunosorbent assay; NOS, Newcastle-Ottawa quality assessment scale; NR, not reported.

OPN protein expression and asthma

Nine studies contained sufficient data for analysis of OPN protein expression in asthma patients and healthy controls. Figure 2 shows that OPN protein expression was significantly higher in patients with asthma than in healthy controls (SMD = 0.66, 95% CI: 0.24–1.07, P = 0.002), but significant heterogeneity was detected among the studies (I2 = 87.6%, P < 0.001). Egger’s test did not identify any significant publication bias in this meta-analysis. A sensitivity analysis was performed by excluding single studies in a sequential manner, and no significant effects were observed in analyses of the remaining studies. Three studies reported an association between OPN protein expression and the severity of asthma. As shown in Figure 3a, analysis of the pooled data showed no significant correlation between OPN protein expression and severity of asthma (SMD = 0.28, 95% CI: −0.23–0.79), but significant heterogeneity was detected among these three studies (I2 = 65.8%, P = 0.054). There were two studies regarding the relationship between OPN protein expression and the type of asthma. Analysis of the pooled data showed no significant difference in OPN protein expression between allergic asthma and non-allergic asthma (SMD = −0.10, 95% CI: −0.45–0.25); moreover, no heterogeneity was detected between these two studies (I2 = 0.0%) (Figure 3b).
Figure 2.

Forest plot describing relationships between osteopontin (OPN) protein expression and asthma.

Figure 3.

Forest plot of the association between osteopontin (OPN) protein expression and severity or type of asthma. (a) Association between OPN protein expression and severity of asthma and (b) Association between OPN protein expression and type of asthma.

Forest plot describing relationships between osteopontin (OPN) protein expression and asthma. Forest plot of the association between osteopontin (OPN) protein expression and severity or type of asthma. (a) Association between OPN protein expression and severity of asthma and (b) Association between OPN protein expression and type of asthma.

Subgroup analysis

The included studies used either blood or sputum samples; therefore, a subgroup analysis was performed based on the types of specimens to evaluate the relationship between OPN protein expression and asthma. As shown in Figure 4, high OPN protein expression was associated with asthma in studies that used sputum samples (SMD = 1.28, 95% CI: 0.97–1.60, P < 0.01). However, OPN protein expression was not significantly associated with asthma in studies that used blood samples (SMD = 0.39, 95% CI: −0.09–0.87). An ethnicity-based subgroup analysis showed that OPN protein expression was associated with asthma in Asians (SMD = 0.74, 95% CI: 0.39–1.10, P < 0.01), but not in non-Asian populations (SMD = 0.56, 95% CI: −0.14–1.26) (Figure 5).
Figure 4.

Forest plot of subgroup analysis based on types of specimens. (a) Blood and (b) Sputum.

Figure 5.

Forest plot of subgroup analysis based on ethnicity. (a) European and (b) Asian.

Forest plot of subgroup analysis based on types of specimens. (a) Blood and (b) Sputum. Forest plot of subgroup analysis based on ethnicity. (a) European and (b) Asian.

Discussion

OPN is a promising biomarker for inflammation because it plays a variety of roles in many inflammatory processes. OPN is an extracellular matrix protein and an immunomodulator that is expressed in many types of cells, such as eosinophils, bronchial epithelial cells, T cells, and dendritic cells.[20,23] Importantly, OPN plays a role in many inflammatory diseases, especially in the context of immune responses associated with CD4+ T helper cells.[23] The present meta-analysis included nine studies that involved 706 asthma patients and 332 healthy controls. Among these studies, the expression levels of OPN protein varied greatly, and we therefore calculated SMDs to facilitate comparisons among the studies. Our results demonstrated that OPN protein expression was significantly higher in asthma patients than in healthy controls; however, the I2 value was 87.6%, which indicated significant heterogeneity. Therefore, a random effects model was used for analysis. The heterogeneity among these studies may have resulted from differences in the types of the specimens, severities of asthma, ages of onset, and ethnicities of included patients. Funnel plot analysis showed no publication bias. Sensitivity analysis was performed and no significant effect was observed when any single study was omitted, indicating that the results of the meta-analysis were statistically stable.[24] Moreover, the association between OPN protein expression and severity of asthma was analyzed. Although no statistically significant difference was found, OPN tended to be highly expressed in patients with severe asthma. Subgroup analysis demonstrated that OPN protein expression was significantly higher in patients with asthma in Asian populations than in European populations. Although there was no significant correlation between high expression of OPN protein and the presence of asthma in patients in European populations, the expression of OPN protein tended to be higher in patients with asthma than in healthy controls. Furthermore, a subgroup analysis was performed based on the types of specimens used. There was a significant association between OPN protein expression and asthma in studies that used sputum samples; however, the association between OPN protein expression and asthma was not significant in studies that used blood samples. These results indicated that, compared with OPN protein expression in blood, OPN protein expression in sputum could serve as a more objective indicator of the airway inflammation status in asthma patients. Because the number of included studies was limited in this meta-analysis, additional studies should be conducted in the future to validate our findings. Although this meta-analysis provides the most comprehensive assessment thus far of the relationship between OPN protein expression and asthma, its limitations should be considered when interpreting the findings. First, the current meta-analysis used a small number of data points, particularly with regard to subgroup analyses. Moreover, this meta-analysis was influenced by heterogeneity and confounding factors, as moderate to high heterogeneity was detected in analyses of the association between OPN protein expression and asthma, as well as in the subgroup analysis based on ethnicity.

Conclusion

This meta-analysis provided a systematic evaluation of the relationship between OPN expression and asthma. The results suggested that OPN protein expression may be significantly associated with asthma, particularly when expression levels are determined using sputum specimens. OPN protein expression may be useful as a biomarker for asthma, but this finding should be validated in additional well-designed multicenter studies.
  23 in total

1.  Critical evaluation of the Newcastle-Ottawa scale for the assessment of the quality of nonrandomized studies in meta-analyses.

Authors:  Andreas Stang
Journal:  Eur J Epidemiol       Date:  2010-07-22       Impact factor: 8.082

2.  Osteopontin levels are elevated in patients with asthma.

Authors:  J-J Zhao; L Yang; F-Q Zhao; S-M Shi; P Tan
Journal:  J Int Med Res       Date:  2011       Impact factor: 1.671

Review 3.  Role of osteopontin, a multifunctional protein, in allergy and asthma.

Authors:  S Konno; M Kurokawa; T Uede; M Nishimura; S-K Huang
Journal:  Clin Exp Allergy       Date:  2011-05-30       Impact factor: 5.018

4.  Osteopontin expression and relation to disease severity in human asthma.

Authors:  K Samitas; E Zervas; S Vittorakis; M Semitekolou; T Alissafi; A Bossios; H Gogos; E Economidou; J Lötvall; G Xanthou; V Panoutsakopoulou; M Gaga
Journal:  Eur Respir J       Date:  2010-06-18       Impact factor: 16.671

5.  Increased levels of osteopontin in sputum supernatant in severe refractory asthma.

Authors:  Vasiliki Delimpoura; Petros Bakakos; Eleni Tseliou; Vasiliki Bessa; Georgios Hillas; Davina C M Simoes; Spyros Papiris; Stelios Loukides
Journal:  Thorax       Date:  2010-09       Impact factor: 9.139

6.  Osteopontin deficiency protects against airway remodeling and hyperresponsiveness in chronic asthma.

Authors:  Davina C M Simoes; Georgina Xanthou; Kalomira Petrochilou; Vily Panoutsakopoulou; Charis Roussos; Christina Gratziou
Journal:  Am J Respir Crit Care Med       Date:  2009-02-20       Impact factor: 21.405

7.  Increased levels of osteopontin in sputum supernatant of smoking asthmatics.

Authors:  Georgios Hillas; Stelios Loukides; Konstantinos Kostikas; Davina Simoes; Vasiliki Petta; Elissavet Konstantellou; Philip Emmanouil; Spyros Papiris; Nikolaos Koulouris; Petros Bakakos
Journal:  Cytokine       Date:  2012-10-23       Impact factor: 3.861

8.  Osteopontin induces airway remodeling and lung fibroblast activation in a murine model of asthma.

Authors:  Martin Kohan; Raphael Breuer; Neville Berkman
Journal:  Am J Respir Cell Mol Biol       Date:  2009-01-16       Impact factor: 6.914

9.  Elevated level of serum osteopontin in school-age children with asthma.

Authors:  A Z Akelma; M N Cizmeci; M K Kanburoglu; D Bozkaya; F Catal; E Mete; I Kutukoglu; M Namuslu
Journal:  Allergol Immunopathol (Madr)       Date:  2013-04-08       Impact factor: 1.667

10.  Estimating the mean and variance from the median, range, and the size of a sample.

Authors:  Stela Pudar Hozo; Benjamin Djulbegovic; Iztok Hozo
Journal:  BMC Med Res Methodol       Date:  2005-04-20       Impact factor: 4.615

View more
  1 in total

Review 1.  Biomarkers in Different Asthma Phenotypes.

Authors:  Sanja Popović-Grle; Anamarija Štajduhar; Marina Lampalo; Dina Rnjak
Journal:  Genes (Basel)       Date:  2021-05-25       Impact factor: 4.096

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.