Literature DB >> 33264357

The association between osteopontin and tuberculosis: A systematic review and meta-analysis.

Dongguang Wang1, Xiang Tong1, Lian Wang1, Shijie Zhang1, Jizhen Huang1, Li Zhang1, Hong Fan1.   

Abstract

OBJECTIVE: We examined the data reported in the studies for comparison of osteopontin (OPN) levels in tuberculosis and healthy participants, and to discuss whether OPN could be extended to disease diagnosis, severity assessment and therapeutic effect monitering.
METHODS: A systematic literature search was conducted in PubMed, EMBASE, Scopus, the Cochrane Library, Web of Science, the China National Knowledge Infrastructure (CNKI) and WanFang databases. The pooled risk estimates were shown in standardized mean difference (SMD) with 95% confidence interval (CI) for OPN levels. The random effect model was used according to the test of heterogeneity among studies. Subgroup analyses and meta-regression models were performed to identify the possible sources of heterogeneity.
RESULTS: 17 retrospective studies with 933 tuberculosis participants and 786 healthy controls were finally included in this article. In the primary meta-analysis, higher serum/plasma OPN levels were found in tuberculosis patients (SMD = 2.58, 95%CI = 2.09~3.08, P<0.001). Besides, pooled results from positive acid-fast bacilli (AFB) staining and imaging-severe tuberculosis group demonstrated higher OPN concentrations (SMD = 0.90, 95%CI = 0.58~1.21, P<0.001; SMD = 1.11, 95%CI = 0.90~1.33, P<0.001; respectively), and OPN levels decreased after two months of standard anti-tuberculosis therapy (SMD = 2.10, 95%CI = 1.36~2.85, P<0.001).
CONCLUSIONS: Elevated serum/plasma OPN levels may be associated with an increased risk of tuberculosis, while further well-designed studies are needed. Moreover, OPN could be considered as a potential biomarker for tuberculosis surveillance and severity assessment.

Entities:  

Year:  2020        PMID: 33264357      PMCID: PMC7710079          DOI: 10.1371/journal.pone.0242702

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Tuberculosis (TB) is an infection by Mycobacterium Tuberculosis (MTB), remaining the leading cause of death from infectious diseases in adults globally. According to the WHO global report, there were an estimated 1.2 million deaths among HIV-negative TB patients around the world in 2018 [1]. In many settings, the relative absence of simple, reliable and dynamic monitoring indicators is still a major threat to TB controls, although multiple developments have been made in the field of tuberculosis biomarkers. Currently, numerous promising candidates are identified for risk of TB infection, severity of illness and response to anti-tuberculous treatment, most of whom are host-derived and not available on the market [2]. Osteopontin (OPN), also known as secretory phosphoprotein 1, bone sialoprotein 1, etc., is a highly phosphorylated glycoprotein. It acts as an extracellular matrix protein and immune modulator existing in a large number of tissues such as epithelium, salivary and mammary glands, kidney, brain, bone and teeth [3], which could be secreted into all body fluids. Excessive and deregulated OPN expression links to a variety of physiological and pathological processes including cell adhesion and migration, angiogenesis, host immune response, wound healing, neurodevelopment and tumor metastasis [4]. In respiratory diseases, OPN is among the most abundantly expressed proteins, regulating aspects of airway remodeling, pulmonary fibrosis, and malignancy [5, 6]. Recently, OPN has been found participating in the process of asthma, chronic obstructive pulmonary disease (COPD), pulmonary hypertension (PH) and lung cancer, while the potential in tuberculosis remains controversial. OPN may participate in granuloma formation of TB and sarcoidosis, and reportedly plays an essential role in host resistance against TB and LTBI [7, 8]. However, results from Gerritje et al. suggested an inconsequential role of OPN upon the protective immunity to MTB infection [9]. Here, we conducted this systematic review and meta-analysis to comprehensively understand the function of OPN in tuberculosis.

Materials and methods

Search strategy

This study was carried out following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. We performed the systematic review and meta-analysis using PubMed, EMBASE, Scopus, the Cochrane Library, Web of Science, the China National Knowledge Infrastructure (CNKI) and WanFang databases to identify studies up to April 30, 2020. We used the searching terms (“tuberculosis” OR “Koch disease” OR “mycobacterium tuberculosis infection”) AND (“osteopontin” OR “sialoprotein 1” OR “secreted phosphoprotein 1” OR “uropontin” OR “SPP 1” OR “OPN”). The retrieved studies were restricted to English or Chinese.

Study selection and exclusion

The included studies met the following conditions: (1) the study used quantitative laboratory-based assays to measure the levels of OPN in tuberculosis patients and healthy controls; (2) data available, the concentration of OPN was reported as mean and standard deviation (SD) or could be converted into this expression format; (3) study subjects: human beings; (4) initial treating tuberculosis. In this study, we only used data published in English and Chinese. Abstracts, conference papers, repeated publications or literature with too little information to extract details were excluded.

Data extraction and quality assessment

The literatures were screened for relevance by reading titles and abstracts, and then read for full texts by two independent authors (DGW and LW), and the third author (XT) was consulted to resolve disagreements. The information extracted included author, country, publication year, participant characteristics, immune status, diagnosis, diagnosing method, specimen type, OPN concentrations and detection method. If a study only provided medians and ranges (or interquartile ranges [IQR]), we converted the data to approximately the mean and standard deviation following the validated method proposed by Wan et al. [10]. The quality of nonrandomized studies were evaluated using the Newcastle-Ottawa Scale (NOS). Briefly, this scale assigns four, two and three points for patient selection, comparability and exposure evaluation, respectively. Nine-point means the best quality, while zero-point means the poorest quality [11].

Statistical analysis

For all analyses, two-side P<0.05 were considered statistically significant. Chi-squared and I tests were used to assess the heterogeneity of the clinical trial results. When the Chi-squared test P-value was<0.1 and the I test had a value>50%, it suggested a statistically significant heterogeneity and the random-effects model was used to directly compare the level of OPN in cases with that in controls. Otherwise, a fixed-effects model was selected. Additionally, the meta-regression and sensitivity analysis were used to estimate the sources of heterogeneity, and the visual inspection of asymmetry in funnel plots was used to assess publication bias and the Begg’s and Egger’s tests were used to further detect publication bias. If there exists publication bias, we conducted a trim-fill adjusted analysis and recalculated the effect size (ES) to remove the asymmetry of the funnel plot [12]. All statistical analyses were performed using the RevMan 5.2 and STATA 12.0.

Results

Characteristics and quality of published studies

349 records were identified from the initial search strategy. After screening titles and abstracts, 258 full-text articles were further assessed for eligibility, and 17 studies were finally included (Fig 1), in which 933 tuberculosis patients (including 51 spinal tuberculosis and 882 pulmonary tuberculosis individuals) and 786 healthy controls were contained. All studies focused on adult populations and reported serum/plasma OPN concentrations in tuberculosis patients and healthy controls. Among the included studies, 2 reported HIV uninfected patients [13, 14] and 14 in non-immunocompromised hosts (no HIV infection, systematic autoimmune disorders and collagen diseases, glucocorticoid or immunosuppressant using, and malignancies) [15-28], in the remaining study the immune status was not described [29]. The quality of studies was evaluated by NOS, and all of 17 studies achieved five or more stars. Main characteristics of each study included were summarized in Table 1.
Fig 1

The flow diagram of included and exclude studies.

Table 1

Main characteristics of the eligible studies.

StudyPatients’ countryPublished yearSize Case/controlGender(male) Case/controlAge (years) Case/controlICHDiagnosisSpecimen typeDiagnosing methodNOS score
Shiratori BJapan201437/3023/939.5±9.88/34.5±9.07HIV (-)PTBPlasmaAFB staining, clinical symptoms and chest radiographs7
Shiratori BJapan201736/1928/1256.0±15.84/38.5±13.00HIV (-)PTBPlasmaCulture5
Inomata SIJapan200347/25NA/16NA/23-62NonePTBPlasmaCulture or histologically proven5
Zhang YTChina201848/5332/3636.1±9.7/35.3±10.2NonePTBSerumNR5
Wu TFChina201751/6321/2941.85±11.55/39.73±10.06NoneSpinal tuberculosisSerumHistopathology7
Ding YLChina201720/2013/NA55.0±19.8/45.0±21.9NonePTBPlasmaAFB staining8
Hao XLChina201643/4023/2040.5±6.5/38.9±5.8NoneSmear-negative PTBSerumHistopathology8
Cui JXChina201480/10054/6744.6±12.3/41.9±10.6NRPTBSerumNR7
Guo SXChina201342/3631/2834.6±10.1/31.2±8.6NonePTBSerumNR7
Gan BChina200944/2028/1439.5±13.67/30.5±9.10NoneTBPlasmaNR6
Du HChina202050/2037/1452.6±10.7/49.8±11.2NonePTBSerumAFB staining8
Wang QChina201992/5052/3143.68±9.84/43.19±9.76NonePTBSerumNR7
Wu YXChina201990/9056/5149.6±17.2/47.6±18.2NonePTBSerumPPD skin test, AFB staining, chest radiographs, etc.7
Feng PLChina201755/6038/4135.7±9.5/36.1±8.6NonePTBSerumNR5
Yuan YChina201652/4536/3535.5±11.2/32.2±9.7NonePTBSerumNR5
Qiao YFChina201362/3544/2241.9±10.5/41.2±10.7NonePTBSerumNR5
Sun XXChina201684/8065/4157.72±16.43/56.95±19.37NonePTBSerumHistopathology6

ICH, immune-compromised host; HIV, human immunodeficiency virus; NA, not available; NR, not reported; PTB, pulmonary tuberculosis; TB, tuberculosis; AFB staining, acid-fast bacilli staining; PPD, purified protein derivative; NOS, Newcastle-Ottawa Scale.

ICH, immune-compromised host; HIV, human immunodeficiency virus; NA, not available; NR, not reported; PTB, pulmonary tuberculosis; TB, tuberculosis; AFB staining, acid-fast bacilli staining; PPD, purified protein derivative; NOS, Newcastle-Ottawa Scale.

Quantitative results (meta-analysis)

Overall, the pooled data demonstrated that serum/plasma concentrations of OPN in tuberculosis patients were higher than those in healthy individuals by the random-effect model (SMD = 2.58, 95%CI = 2.09~3.08, P<0.001, I = 93%) (Table 2, Fig 2). To explore the potential causes of heterogeneity, we conducted a subgroup analysis by sample type (plasma and serum), and the result showed no change to heterogeneity. Furthermore, we performed a meta-regression analysis using the following covariates: country, sample size, gender, average age, tuberculosis type, and immune status, while the results didn’t indicate any possible cause contributing to the heterogeneity (P = 0.084, 0.981, 0.978, 0.968, 0.893, 0.181, respectively). Besides, the sensitivity analysis showed that the pooled SMD were not materially altered, suggesting the stability of the result.
Table 2

Main results of the eligible studies.

StudyDiagnosisSpecimen typeOPN variantsCasesControlsUnitDetection method
MeanSDNMeanSDN
Shiratori B 2014PTBPlasmaNR150.7353.433774.2319.3430ng/mLELISA
Shiratori B 2017PTBPlasmaFull-length and cleaved OPN59.4637.703640.0527.7219ng/mLELISA
Inomata SI 2003PTBPlasmaFull-length OPN433.0259.047170.065.925ng/mLELISA
Zhang YT 2018PTBSerumNR657.5315.648170.3114.253ng/mLELISA
Wu TF 2017Spinal tuberculosisSerumNR538.94258.4151143.1278.3163ng/mLELISA
Ding YL 2017PTBPlasmaNR563.2123.42040.211.220ng/mLELISA
Hao XL 2016Smear-negative PTBSerumNR712.62335.7543185.34120.2340pg/mLELISA
Cui JX 2014PTBSerumNR588.42271.6780169.1297.43100ng/mLELISA
Guo SX 2013PTBSerumNR683.21321.7642168.46117.3136ng/mLELISA
Gan B 2009TBPlasmaNR160.5432.424476.1820.6920ng/mLELISA
Du H 2020PTBSerumNR564.52126.515040.2611.7220ng/mLELISA
Wang Q 2019PTBSerumNR663.4594.2092384.1437.1550ng/mLELISA
Wu YX 2019PTBSerumNR663.9282.690356.4130.290pg/mLELISA
Feng PL 2017PTBSerumNR691.54102.7255171.9436.8360ng/mLELISA
Yuan Y 2016PTBSerumNR683.2321.852168.5117.345ng/mLELISA
Qiao YF 2013PTBSerumNR652.4270.862155.6107.235ng/mLELISA
Sun XX 2016PTBSerumNR652.31264.7484152.93113.2680ng/LELISA

PTB, pulmonary tuberculosis; TB, tuberculosis; SD, standard deviation; NR, not reported; ELISA, enzyme-linked immunosorbent assay.

Fig 2

The result of association between serum/plasma OPN levels and tuberculosis.

PTB, pulmonary tuberculosis; TB, tuberculosis; SD, standard deviation; NR, not reported; ELISA, enzyme-linked immunosorbent assay. Besides, 6 studies [16, 20, 23–26] explored the relation between OPN concentrations and microscopic observation of AFB staining in sputum, and the pooled data suggested that positive AFB staining was significantly associated with higher OPN levels, with the pooled SMD of 0.90 (95%CI = 0.58~1.21, P<0.001, I = 51%) (Fig 3). In addition, according to the imaging findings, PTB could be further divided into two types: severe PTB (including military tuberculosis and cavitary tuberculosis) and non-severe PTB (including infiltrative tuberculosis and tuberculous pleurisy), and 7 studies [16, 20, 21, 24–26, 29] compared the OPN levels in PTB patients with severe imaging presentations to those with non-severe findings, and the result showed that higher OPN levels were related to severe tuberculosis (SMD = 1.11, 95%CI = 0.90~1.33, P<0.001, I = 47%) (Fig 4). Moreover, the pooled result from 4 studies [19-22] with follow-up data revealed a significant decrease in OPN concentrations after two months of intensive therapy with anti-tuberculosis drugs (SMD = 2.10, 95%CI = 1.36~2.85, P<0.001, I = 85%) (Fig 5).
Fig 3

The result of association between serum/plasma OPN levels and AFB staining of sputum.

Fig 4

The result of association between serum/plasma OPN levels and imaging severity of pulmonary tuberculosis.

Fig 5

The result of association between serum/plasma OPN levels and anti-tuberculous therapy.

Publication bias

A visual inspection of funnel plot demonstrated asymmetry, and this was further confirmed by Egger’s test with P = 0.004, although the Begg’s test didn’t indicate a statistical significance (P = 0.174). Based on that, we performed a trim-and-fill analysis and the result showed that 3 studies might be missing. As shown in Fig 6, the circle represented the studies initially included in this meta-analysis, the square represented the 3 studies added by trim-and-fill analysis, and the black funnel represented the adjusted Begg’s test. When these studies were added, the adjusted SMD was 2.987 (95%CI = 2.366~3.609, P<0.001), indicating that there was still a statistically significant association between serum/plasma OPN concentrations and tuberculosis.
Fig 6

The Begg’s test and trim-and-fill analysis.

Discussion

Tuberculosis is a contagious infectious disease caused mainly by Mycobacterium Tuberculosis. In humans, the adaptive immune responses to M. Tuberculosis primarily hinge on antigen specific CD4+ T cell response. Several studies have revealed the critical role of T cell immunity in the control of tuberculous infection, and defects in T cytokine production, particularly interferon-γ (IFN-γ), are genetically responsible for the development of human tuberculosis disease [30]. Osteopontin (OPN) is a highly negatively charged, arginine-glycine-aspartate (RGD)-containing and O-glycosylated phosphoprotein with little or no detectable tertiary structure by nuclear magnetic resonance (NMR) spectroscopy, encoded by a single gene clustered on chromosome 4 in human beings and produced by several types of cells such as osteoclasts, endothelial cells, epithelial cells and immune cells [31, 32]. It contains several cell interacting domains, with accumulating evidence revealing its stimulation to signal transduction pathways via RGD-dependent (αVβ1, αVβ3 or αVβ5) and RGD-independent (α4β1, α5β1, α8β1 or α9β1) integrins and CD44 variants at the cell surface, mediating cell adhesion, migration and survival in a variety of inflammatory cells including T cells, macrophages and NK cells [33, 34]. Of interest, OPN was recently characterized as cleavage sites by several proteases including thrombin, plasmin and matrix metalloproteinases (MMPs) [35]. In many cases, the cleaved forms of OPN demonstrated augmented cell bindings, inducing enhanced adhesion and migration in vitro, which perhaps caused by conformational changes of OPN fragments, however, the functional role of OPN cleavage in vivo is largely unexplored [36]. Since the initial identification for OPN as one of the most highly up-regulated genes upon T cell activation, it has been demonstrated multiple roles in regulating host immune response in the last decades [37]. By the transgenic mice model, soluble OPN has been observed an induction to proliferation of effector CD4+ and CD8+ cells in cell-mediated reactions, while OPN-/- mice demonstrated severely impaired cell-mediated immunity to viral and bacterial infections [38, 39]. Here, we reviewed the potential of OPN for diagnosis, severity assessment and therapeutic effect monitoring of TB. Consistent with the previous studies, our results further strengthened the evidence linking OPN expressions with MTB pathogenicity. Shiratori and colleagues identified that OPN had the discriminatory capacity to tuberculosis with sensitivity of 94.6% and specificity of 93.3% [13]. In addition, thorough analyses for the relationship of OPN secretions to sputum AFB staining and imaging severity of infections also achieved useful conclusions that patients with positive AFB results and severe infections got higher levels of OPN in blood. Sevtekin et al. examined the OPN levels in cattle tuberculosis and observed a marked increase of OPN concentrations in tuberculous lesions, whereas no OPN expression was detected in normal tissues by immunohistochemistry [40]. Moreover, higher OPN expressions were detected in patients with active and latent TB infections compared to healthy controls [8], and circulating IFN-γ and OPN paralleled to the extent of lung lesions [15]. Cell-mediated adaptive immunity is crucial for host defense to M. Tuberculosis, while little is known about complete interactions between cytokines and immune cell behaviors during this process, and studies from OPN gene-deficient models will provide us further insights into the pathophysiological role of OPN. Compared with wild type mice, OPN-/- mice had more severe M. Tuberculosis infections characterized by heavier loads and delayed clearance of bacteria, and M. Tuberculosis grew more rapidly in OPN-null macrophages [13, 41, 42]. Several studies demonstrated that OPN regulated macrophages and T cells migration, activation and cytokine expression in tuberculosis, mediating accumulations of macrophages, macrophage-derived epithelioid cells, and giant cells during the granuloma formation, possibly explained the impaired ability of OPN-deficient hosts to control mycobacterial infection [43, 44]. Furthermore, deficient OPN gene expression inhibited IFN-γ production as well, contributing to severely impaired cell-mediated immunity and granulomas maturity in mice [39]. To sum up, a suggested explanation is that OPN is highly expressed by activated immune cells during the MTB infections, in addition, it also co-stimulates T cell proliferation in the setting of T cell activation and induces the expressions of Th1 but not Th2 cytokines like IL-2, IFN-γ and TNF-α in macrophages and T cells, helping to recruit immune cells to the site of tuberculous lesions and mediate phagocytosis of macrophages and granuloma formation [13, 42]. However in Van Der Windt’s study [9], similar bacterial burden, tissue inflammation and recruitment of immune cells were observed in lungs from both wild type and OPN knocked out mice after 2 and 5 weeks of M. Tuberculosis infection, despite the OPN expression was up-regulated in alveolar macrophages and lymphocytes, demonstrating that OPN might not be crucial for the protection upon M. Tuberculosis infection. While the intracellular signaling pathways activated by OPN and roles of cleaved OPN fragments in MTB pathogenesis have not been known precisely by now, more studies are needed in the future. With regard to OPN and M. Tuberculosis infection, previous studies have revealed a significant fall of plasma OPN levels after anti-tuberculous chemotherapy [45, 46], and our results also supported this notion by demonstrating that OPN concentrations decreased paralleling with the clinical improvement after treatment. In vitro studies by peripheral blood mononuclear cells infected with M. Tuberculosis found an apparently reduced production of IFN-γ and IL-12 with neutralizing anti-OPN monoclonal antibody [45], suggesting circulating OPN may serving as a reliable indicator of improvement during the early stage of anti-tuberculous treatment regimens. Despite the divergence of serum/plasma OPN potencies, OPN was also detected significantly differential expressions in sputum and pleural effusions with various aetiologies by several studies. Tian and colleagues found that OPN levels in sputum supernatant was obviously higher than those in healthy controls [47]. In another study prospectively investigating the OPN concentrations in pleural effusions of different aetiologies, researchers demonstrated that OPN levels were significantly elevated in exudative pleural effusions compared to those in blood or transudative effusions, and the higher pleural effusion/serum OPN ratio was observed in malignancies than that in tuberculous effusions [48], which could be useful for diagnostic purposes. Our systematic review and meta-analysis have several limitations that should be noted. Firstly, wide heterogeneity was observed in this study. Although we conducted a meta-regression on the factors may causing heterogeneity such as gender, average age, sample size, tuberculosis burden, immune status and lesion sites, possible sources of heterogeneity were not seeked out statistically. Currently, the validated diagnostics for active tuberculosis mainly include microscopy, cultures and nucleic acid amplification tests (NAATs) such as Xpert MTB/RIF and loop-mediated amplification test (LAMP). For screening of tuberculosis, imaging with digital radiology and computer-aided interpretations becomes a widely used method [49]. The diversity of diagnostic methods may cause the heterogeneity among studies as well. In this meta-analysis, the detection methods of tuberculosis contained AFB staining, culture, histopathology, etc., and several studies didn’t report the detailed inclusion criteria for tuberculosis patients, among which patients with experimental anti-tuberculosis treatment might exist. Hence, there is reason to believe that the diagnostic method is one of the origins of high heterogeneity. Secondly, unpublished or other ongoing trials were not retrieved, and even among the included studies, most of which were from high disease burden countries, and as a result, the possibility of publication bias was not excluded exactly. Thirdly, the nature of retrospective study design leads to the identification of association but not causality link. All involved studies were case-control or cross-sectional, which simply meant the relevance between abnormal OPN levels and tuberculosis, while it is still not clear whether elevated OPN levels are the contributor to tuberculosis or not. Fourthly, depending on the alternative splicing, the OPN has now several isoforms called the full-length variant and cleaved variants, all of which may display distinct functions. Among the included studies, only two of them reported the forms of OPN they detected. While Boggio and colleagues recently reported a similar activation of IFN-γ secretion in T cells by full-length and cleaved OPN stimulation, indicating that different OPN variants might be similarly active in anti-TB immune response [50]. And lastly, limited to the characteristics of included studies we couldn’t scientifically evaluate the diagnostic efficiency of OPN to tuberculosis and differential value to other diseases. Thereby, further prospective, longitudinal and well-designed cohort studies are needed.

Conclusions

In this comprehensive systematic review and meta-analysis, we found that elevated serum/plasma OPN concentrations were associated with an increased risk of tuberculosis especially positive smear tuberculosis in retrospective studies. What’s more, higher OPN expressions were related to imaging-severe tuberculosis, and OPN levels in tuberculosis patients decreased after efficient anti-tuberculosis therapies. The results provided an improved understanding of OPN as a potential biomarker for tuberculosis diagnosis, evaluation and therapeutic monitering. Undoubtedly, further prospective, large and well-designed cohort studies are needed to elucidate the exact role of OPN in tuberculosis development.

PRISMA 2009 checklist.

(DOC) Click here for additional data file.

Meta-regression analysis for potential sources of heterogeneity.

(DOCX) Click here for additional data file.

The result of sensitivity analysis on association between serum/plasma OPN levels and tuberculosis.

(TIF) Click here for additional data file.

The funnel plot of publication bias.

(TIF) Click here for additional data file. 20 Aug 2020 PONE-D-20-17846 The association between osteopontin and tuberculosis risk, severity and prognosis: a systematic review and meta-analysis PLOS ONE Dear Dr. Fan, Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process. Please submit your revised manuscript by Oct 04 2020 11:59PM. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at plosone@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file. 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Please see our Supporting Information guidelines for more information: http://journals.plos.org/plosone/s/supporting-information [Note: HTML markup is below. Please do not edit.] Reviewers' comments: Reviewer's Responses to Questions Comments to the Author 1. Is the manuscript technically sound, and do the data support the conclusions? The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented. Reviewer #1: Yes Reviewer #2: Partly Reviewer #3: Yes ********** 2. Has the statistical analysis been performed appropriately and rigorously? Reviewer #1: I Don't Know Reviewer #2: I Don't Know Reviewer #3: Yes ********** 3. Have the authors made all data underlying the findings in their manuscript fully available? 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Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here. Reviewer #1: Yes Reviewer #2: No Reviewer #3: No ********** 5. Review Comments to the Author Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters) Reviewer #1: The paper by Dr. Wang reported the systemic review regarding the association between osteopontin and tuberculosis. This is the new analysis but the results only supported the previous and did not get any new findings from meta analysis. They did not analyze detailed methods for the analysis. Comparison of serum of plasma should be done. Dose elisa could detect full length OPN or cleaved form of OPN ? Finally which biological functions of OPN are associated with tuberculosis. It should be described which control diseases were used for each data analysis. Reviewer #2: This paper is a meta-analysis of the use of serum / plasma osteopontin in tuberculosis. The authors present pooled anaysis for four parameters: 1. OPN is higher in tuberculosis than controls (healthy controls) 2. OPN is higher in smear positive than smear negative TB 3. OPN is higher in severe TB than non-severe. 4. OPN levels fall in response to treatment. As regards the first point, the paper does not add anything new. We can not evaluate sensitivity, specificity etc from the pooled data and elevated levels in TB vs healthy controls has been well documented in the quoted publications. Analysis of parameters 2-4 are nicely presented and clarify these issues. The authors state that their analysis provides data on risk, severity and prognosis but the data ony concerns diagnosis and severity. This should be restated in the paper. The authors should address the issue of OPN as a diagnostic tool to differentiate TB vs other disease, in addition to their data vs healthy controls. Have the authors checked that the quoted articles to exclude double entries of the same subjects from different publication? English - there are "google translate" mistakes that need correction such as "affluently" (p2), acid "fasting" (p4), inherent "vice "of macrophages (p5), "remarked" accumulation (p5) Reviewer #3: This paper reports on a meta-analysis of tuberculosis. As it stands the data presented compare cases and controls in terms of their osteopontin levels. The title really needs to look at this - the prognosis is not really presented as this would require a cohort study and not a case control study. The analysis of severe vs mild here eliminates some data (i.e. the controls) and the analysis here needs to look at the severity on the whole. Please explain whether proper meta-analytic methods were used or simply pooled analyses - pooled analyses and meta-analyses are not the same. Please provide the Q statistic as this is an important thing in the weighting of the studies. Please do not use p=0.000 as p is notexactly zero. Why are studies ordered as they are in the plots? The units on the axis are not particularly informative. ********** 6. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files. If you choose “no”, your identity will remain anonymous but your review may still be made public. Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy. 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Please note that Supporting Information files do not need this step. 26 Sep 2020 Dear Editor-in-chief and Reviewers, We would like to thank you for appreciating our work, and also we’d like to thank the reviewers for making many thoughtful comments. According to the comments from reviewers, we have revised the manuscript entitled “The association between osteopontin and tuberculosis risk, severity and prognosis: a systematic review and meta-analysis (Manuscript No.: PONE-D-20-17846)”. We revised our manuscript by the PLOS ONE’s style requirements and we are looking forward to the article can be published in your journal. Here are our point-by-point responses: Reviewer #1 The paper by Dr. Wang reported the systemic review regarding the association between osteopontin and tuberculosis. This is the new analysis but the results only supported the previous and did not get any new findings from meta analysis. Author response: Thank you for your time and constructive comments. All suggested corrections have been addressed as follows: 1. They did not analyze detailed methods for the analysis. Comparison of serum of plasma should be done. Author response: We followed the reviewer’s suggestions and performed the subgroup analysis by plasma and serum, and the result showed no change to heterogeneity (lines 58-60). 2. Dose elisa could detect full length OPN or cleaved form of OPN? Author response: Thank you for your remark. In the present meta-analysis, only two of the seventeen included studies reported the forms of detected OPN variants (line 169, Table 2). OPN has two terminal zones including N-terminal and C-terminal, and C-terminal binds two heparin molecules as well as CD44 variants whereas N-terminal includes integrin receptor binding zones. Although diverse sites have been reported, the functional significance of cleaved fragment of OPN remains unknown. In many cases, the cleaved forms of OPN demonstrated augmented cell bindings, inducing enhanced adhesion and migration in vitro (lines 229-231). While in another study, researchers reported a similar activation of IFN-γ secretion in T cells by full-length and cleaved OPN stimulation, indicating that different OPN variants might be similarly active in anti-TB immune response (Lines 336-339). Based on that, further well-designed studies will be needed to reveal the precise role of cleaved OPN in the pathogenesis of tuberculosis in the future. In the revised version, we added this statement to table, result, discussion and limitation sections to make readers better understand the role of different OPN variants. 3. Finally which biological functions of OPN are associated with tuberculosis. Author response: Thanks for your valued query. As we know, cell-mediated immune responses play a critical role in host defense to MTB infections. OPN regulates macrophages and T cells migration, activation and cytokine expression in tuberculosis. While hosts infect with MTB, activated lymphocytes and other immune cells highly express OPN, which is a significant chemical attractant for macrophages and T cells. OPN supports adhesion and induces migration of T cells and macrophages, and also, it co-stimulates T-cell proliferation and induces T cells and macrophages expressing Th1 cytokines like IFN-γ and IL-12, which help to recruit immune cells to the site of tuberculous lesions and mediate phagocytosis of macrophages and granuloma formation (lines 271-277). However, the intracellular signaling pathways activated by OPN have not been known precisely by now, more studies are needed in the future (lines 283-286). In the revised version, we added this statement to discussion section to make readers better understand the role of OPN. 4. It should be described which control diseases were used for each data analysis. Author response: Thank you for raising this point. To make the control and experimental groups in each data analysis more intuitive, we displayed the results in forest plots by RevMan 5.2, and at the same time, the pooled results were changed and we corrected them in the revised manuscript. Reviewer #2 1. As regards the first point, the paper does not add anything new. We can not evaluate sensitivity, specificity etc from the pooled data and elevated levels in TB vs healthy controls has been well documented in the quoted publications. Analysis of parameters 2-4 are nicely presented and clarify these issues. Author response: Thank you for your time and constructive comments. In the present article, few included studies evaluate the sensitivity, specificity, etc. of OPN on tuberculosis diagnosis, severity and therapeutic monitoring, and the included populations in most original studies are tuberculosis patients and healthy controls, therefore, we couldn’t calculate sensitivity, specificity, etc. from the existing data, and also we stated the limitations in discussion section. Additionally, we listed the limited data of original text in discussion section as a literature review of the relationship between OPN and tuberculosis. 2. The authors state that their analysis provides data on risk, severity and prognosis but the data only concerns diagnosis and severity. This should be restated in the paper. Author response: Thanks for your valued remark. We reported the role of OPN on tuberculosis diagnosis, imaging severity evaluation and therapeutic effect monitoring in this meta-analysis, and therefore, we replaced the title by “The association between osteopontin and tuberculosis: a systematic review and meta-analysis” and corrected the expressions in main text of the revised version to avoid misleading readers. 3. The authors should address the issue of OPN as a diagnostic tool to differentiate TB vs other disease, in addition to their data vs healthy controls. Author response: Thank you for raising this point. According to the reviewer’s recommendation, we retrieved studies on OPN as a diagnostic tool to differentiate TB and other diseases again, and unfortunately the results were limited and we couldn’t catch a pooled result on the differential diagnosis of OPN to other diseases in this meta-analysis. Instead, we reviewed the limited studies comparing tuberculosis and other diseases (pleural effusions with different aetiologies) and summarized their findings in the revised manuscript to better understand the value of OPN in clinical research in the future (lines 297-307). 4. Have the authors checked that the quoted articles to exclude double entries of the same subjects from different publication? Author response: Thank you for your query. We checked and excluded the repeated studies from different publications at the stage of study selection and exclusion. 5. English - there are "google translate" mistakes that need correction such as "affluently" (p2), acid "fasting" (p4), inherent "vice "of macrophages (p5), "remarked" accumulation (p5) Author response: Thank you. According to the reviewer’s recommendation, we have corrected the misnomers in revised version., Reviewer #3 This paper reports on a meta-analysis of tuberculosis. As it stands the data presented compare cases and controls in terms of their osteopontin levels. Author response: Thank you for your time and all suggested corrections have been addressed as follows: 1. The title really needs to look at this - the prognosis is not really presented as this would require a cohort study and not a case control study. Author response: Thanks for your valued query. We reported the role of OPN on tuberculosis diagnosis, imaging severity evaluation and therapeutic effect monitoring in this meta-analysis, and therefore, we replaced the title by “The association between osteopontin and tuberculosis: a systematic review and meta-analysis” and corrected the expressions in main text of the revised version to avoid misleading readers. 2. The analysis of severe vs mild here eliminates some data (i.e. the controls) and the analysis here needs to look at the severity on the whole. Author response: Thank you for your query. The pooled data showed that serum/plasma concentrations of OPN in tuberculosis patients were higher than those in healthy individuals. Furthermore, according to the imaging findings from included studies, the pulmonary tuberculosis patients could be divided into two groups: severe PTB (including military tuberculosis and cavitary tuberculosis) and non-severe PTB (including infiltrative tuberculosis and tuberculous pleurisy). We compared the OPN levels between two groups based on imaging severity, and we have corrected the inaccurate statement in the revised manuscript (lines 176-184). 3. Please explain whether proper meta-analytic methods were used or simply pooled analyses - pooled analyses and meta-analyses are not the same. Author response: Thanks. We consulted a professor of statistics in conducting this meta-analysis, therefore, proper meta-analytic methods were used in this study. 4. Please provide the Q statistic as this is an important thing in the weighting of the studies. Author response: Thank you for the remark. We evaluated the heterogeneity by RevMan 5.2 and the heterogeneity test results (Q statistic, P value and I2) were illustrated in the revised figures (Fig2-5). 5. Please do not use p=0.000 as p is notexactly zero. Author response: Thank you. The P values in the original figures are generated by STATA software automatically and the corrected P values were shown as P<0.00001 by RevMan 5.2 in Fig 2-5. 6. Why are studies ordered as they are in the plots? The units on the axis are not particularly informative. Author response: Thanks for the remark. We validated the results of the meta-analysis by RevMan 5.2 and enriched the presentations in the updated figures to make them more intuitive for readers. Thank you for your time and efforts. Best regards! Hong Fan Submitted filename: Response to Reviewers.docx Click here for additional data file. 9 Nov 2020 The association between osteopontin and tuberculosis: a systematic review and meta-analysis PONE-D-20-17846R1 Dear Dr. Fan, We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements. Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication. An invoice for payment will follow shortly after the formal acceptance. To ensure an efficient process, please log into Editorial Manager at http://www.editorialmanager.com/pone/, click the 'Update My Information' link at the top of the page, and double check that your user information is up-to-date. If you have any billing related questions, please contact our Author Billing department directly at authorbilling@plos.org. If your institution or institutions have a press office, please notify them about your upcoming paper to help maximize its impact. If they’ll be preparing press materials, please inform our press team as soon as possible -- no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org. Kind regards, Martin E Rottenberg Academic Editor PLOS ONE Additional Editor Comments (optional): Reviewers' comments: Reviewer's Responses to Questions Comments to the Author 1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation. Reviewer #1: All comments have been addressed Reviewer #3: All comments have been addressed ********** 2. Is the manuscript technically sound, and do the data support the conclusions? The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented. Reviewer #1: Yes Reviewer #3: (No Response) ********** 3. Has the statistical analysis been performed appropriately and rigorously? Reviewer #1: Yes Reviewer #3: (No Response) ********** 4. Have the authors made all data underlying the findings in their manuscript fully available? The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified. Reviewer #1: Yes Reviewer #3: (No Response) ********** 5. Is the manuscript presented in an intelligible fashion and written in standard English? PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here. Reviewer #1: Yes Reviewer #3: (No Response) ********** 6. Review Comments to the Author Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters) Reviewer #1: The paper described an interesting subject; OPN in tuberculosis. Though the manuscript dose not give new aspects of OPN in MTB. It is valuable to summarize data for publication. Reviewer #3: (No Response) ********** 7. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files. If you choose “no”, your identity will remain anonymous but your review may still be made public. Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy. Reviewer #1: Yes: Toshio Hattori Reviewer #3: No 18 Nov 2020 PONE-D-20-17846R1 The association between osteopontin and tuberculosis: a systematic review and meta-analysis Dear Dr. Fan: I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department. If your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org. If we can help with anything else, please email us at plosone@plos.org. Thank you for submitting your work to PLOS ONE and supporting open access. Kind regards, PLOS ONE Editorial Office Staff on behalf of Dr. Martin E Rottenberg Academic Editor PLOS ONE
  33 in total

1.  Attenuated host resistance against Mycobacterium bovis BCG infection in mice lacking osteopontin.

Authors:  G J Nau; L Liaw; G L Chupp; J S Berman; B L Hogan; R A Young
Journal:  Infect Immun       Date:  1999-08       Impact factor: 3.441

2.  High plasma osteopontin level and its relationship with interleukin-12-mediated type 1 T helper cell response in tuberculosis.

Authors:  Yoshinobu Koguchi; Kazuyoshi Kawakami; Kaori Uezu; Kiyoyasu Fukushima; Sigeyuki Kon; Masahiro Maeda; Atsushi Nakamoto; Isoko Owan; Mutsuo Kuba; Norifumi Kudeken; Masato Azuma; Satomi Yara; Takashi Shinzato; Futoshi Higa; Masao Tateyama; Jun-Ichi Kadota; Hiroshi Mukae; Shigeru Kohno; Toshimitsu Uede; Atsushi Saito
Journal:  Am J Respir Crit Care Med       Date:  2003-02-05       Impact factor: 21.405

3.  The roles of soluble osteopontin using osteopontin-transgenic mice in vivo: proliferation of CD4+ T lymphocytes and the enhancement of cell-mediated immune responses.

Authors:  Yasunori Higuchi; Yoichi Tamura; Tomohisa Uchida; Keiko Matsuura; Naoki Hijiya; Shunsuke Yamamoto
Journal:  Pathobiology       Date:  2004       Impact factor: 4.342

Review 4.  The role of osteopontin in lung disease.

Authors:  Anthony O'Regan
Journal:  Cytokine Growth Factor Rev       Date:  2003-12       Impact factor: 7.638

5.  Association between tuberculosis and a polymorphic NFkappaB binding site in the interferon gamma gene.

Authors:  Manda Rossouw; Hendrik J Nel; Graham S Cooke; Paul D van Helden; Eileen G Hoal
Journal:  Lancet       Date:  2003-05-31       Impact factor: 79.321

Review 6.  Update on tuberculosis biomarkers: From correlates of risk, to correlates of active disease and of cure from disease.

Authors:  Delia Goletti; Meng-Rui Lee; Jann-Yuan Wang; Nicholas Walter; Tom H M Ottenhoff
Journal:  Respirology       Date:  2018-02-18       Impact factor: 6.424

Review 7.  The multiple functions and mechanisms of osteopontin.

Authors:  Mehmet Arif Icer; Makbule Gezmen-Karadag
Journal:  Clin Biochem       Date:  2018-07-10       Impact factor: 3.281

8.  Thrombin activatable fibrinolysis inhibitor, a potential regulator of vascular inflammation.

Authors:  Timothy Myles; Toshihiko Nishimura; Thomas H Yun; Mariko Nagashima; John Morser; Andrew J Patterson; Ronald G Pearl; Lawrence L K Leung
Journal:  J Biol Chem       Date:  2003-10-02       Impact factor: 5.157

9.  Elevated OPN, IP-10, and neutrophilia in loop-mediated isothermal amplification confirmed tuberculosis patients.

Authors:  Beata Shiratori; Susan Leano; Chie Nakajima; Haorile Chagan-Yasutan; Toshiro Niki; Yugo Ashino; Yasuhiko Suzuki; Elisabeth Telan; Toshio Hattori
Journal:  Mediators Inflamm       Date:  2014-10-15       Impact factor: 4.711

10.  Thrombin Cleavage of Osteopontin Modulates Its Activities in Human Cells In Vitro and Mouse Experimental Autoimmune Encephalomyelitis In Vivo.

Authors:  Elena Boggio; Chiara Dianzani; Casimiro Luca Gigliotti; Maria Felicia Soluri; Nausicaa Clemente; Giuseppe Cappellano; Erika Toth; Davide Raineri; Benedetta Ferrara; Cristoforo Comi; Umberto Dianzani; Annalisa Chiocchetti
Journal:  J Immunol Res       Date:  2016-07-13       Impact factor: 4.818

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