Investigating the role of pentraxin 3 as a biomarker for bacterial infection in subjects with COPD

Abstract

Background

Pentraxin 3 (PTX3) is an acute phase protein, involved in antibacterial resistance. Recent studies have shown PTX3 levels to be elevated in the presence of a bacterial infection and in a murine sepsis model.

Objective

We aim to investigate if sputum PTX3 can be used as a biomarker for bacterial infection in subjects with COPD.

Materials and methods

Sputum samples from 142 COPD patients (102 men) with a mean (range) age of 69 years (45–85) and mean (SD) post-bronchodilator percentage predicted forced expiratory volume in 1 second (FEV₁) of 50% (19) were analyzed for PTX3, using a commercial assay at stable state and during an exacerbation. Association with bacteria, from culture, quantitative real-time polymerase chain reaction (qPCR) and colony-forming units (CFU) was investigated.

Results

The geometric mean (95% CI) PTX3 level at stable state was 50.5 ng/mL (41.4–61.7). PTX3 levels correlated with absolute neutrophil count in sputum (r=0.37; P<0.01), but not FEV₁ or health status. There was a weak correlation between PTX3 and bacterial load (CFU: r=0.29, P<0.01; 16S qPCR: r=0.18, P=0.05). PTX3 was a poor predictor of bacterial colonization (defined as >10⁵ CFU/mL at stable state) with a receiver-operating characteristic (ROC) area under the curve (AUC) of 0.59 and 95% confidence interval (CI) 0.43–0.76 (P=0.21). During an exacerbation, there was a modest increase in PTX3 (fold difference 0.15, 95% of difference 0.02–0.29; P=0.02), and PTX3 fared better at identifying a bacteria-associated exacerbation (ROC AUC 0.65, 95% CI 0.52–0.78, P=0.03).

Conclusion

PTX3 is associated with bacterial infection in patients with COPD, but its utility as a biomarker for identifying a bacteria-associated exacerbation warrants further studies.

Keywords:

• TNF-inducible gene 14 protein
• infection
• sputum

Introduction

COPD is characterized by persistent airflow limitation, which is progressive and associated with an enhanced inflammatory response to noxious agents.¹ Exacerbations of COPD have a significant effect on the health of patients² and are associated with microbial^3–7 and airway inflammation.⁸ Chronic bacterial infection, defined as >10⁵ colony-forming units (CFU),⁹ occurs in 30% of patients at stable state¹⁰ and increases up to 50% during an exacerbation.³ Guidelines for treatment of an exacerbation advocate the use of systemic corticosteroids¹¹ and antibiotics;¹² however, this is usually without evidence of a bacterial infection as standard culture techniques are not rapid.¹³ The occurrence of resistant bacteria is a growing concern¹⁴ and deemed an emerging medical catastrophe.¹⁵ The rapid identification of a bacterial exacerbation is urgently needed to aid clinical treatment decisions. One such possible marker is pentraxin 3 (PTX3). PTX3 is a soluble pattern recognition receptor,¹⁶ recognizing pathogen-associated molecular patterns expressed by microorganisms.¹⁷ PTX3 is induced in response to proinflammatory stimuli¹⁶ and toll-like receptor (TLR) interactions¹⁷ and contributes to innate resistance to pathogens.¹⁶ PTX3 levels have been shown to be elevated in a murine bacterial infection model,¹⁸ in sepsis,^19–21 and in inflammatory rheumatic disease.²² In this study, we aim to determine whether sputum PTX3 is a sensitive biomarker for bacterial colonization at stable state and for a bacterial exacerbation in patients with COPD.

Materials and methods

Subjects and sampling

COPD subjects entering a longitudinal study looking at biomarkers in COPD were analyzed, where subject inclusion and exclusion criteria, study design, and measurements are as previously described.³ In brief, subjects attended a stable state visit every 3 months over a 12-month period and also during exacerbations and 2 weeks post-exacerbation. An exacerbation event was defined according to Anthonisen criteria²³ and NICE guidance,²⁴ and a bacteria-associated exacerbation was defined as >10⁷ CFU/mL as previously described.³ At each visit, participants underwent pre- and postbronchodilator spirometry; blood was collected by standard venipuncture and sputum induction for sputum collection. If participants were unable to perform sputum induction, spontaneous sputum was collected. Health status and symptoms were measured using the St George’s respiratory questionnaire (SGRQ),²⁵ MRC dyspnea scale,²⁶ the chronic respiratory disease questionnaire (CRQ),²⁷ and the visual analog score (VAS).²⁸ Chronic bacterial infection (colonization) was defined as >10⁵ CFU/mL at stable state⁹ and in this cohort was associated with a high positive predictive value of a respiratory pathogenic microorganism (Table 1). All subjects gave written informed consent, and the study was approved by the Leicestershire, Northamptonshire and Rutland ethics committee (reference number: 07/H0406/157).

Table 1 Proportion of subjects below and above the cutoff of 10⁵ CFU/mL that had a negative or positive microbiology results at stable state

Culture results	<10^5 (n=8)	>10^5 (n=65)
No significant growth	5	34
Positive pathogen culture (Haemophilus influenzae, Streptococcus pneumoniae, Moraxella catarrhalis, Staphylococcus aureus, Pseudomonas aeruginosa)	3	31

Abbreviation: CFU, colony-forming units.

Sputum processing

Sputum processing involved plug selection, followed by a dispersion step with Dulbecco phosphate-buffered saline and a mucolytic step with dithiothreitol as previously described.³ A filtration step to remove debris for cytospin preparation and quantification of cell differential count was then performed.²⁹ Samples with a cell viability of <40% and a squamous contamination >20% were excluded. CFUs were prepared for semi-quantitative analysis using standard techniques.³⁰ A further 500 μL of the filtrate was processed by SYBR green (Applied Biosystems^®; Life Technologies Corp., Carlsbad, CA, USA) quantitative polymerase chain reaction (qPCR) for Haemophilus influenzae and Staphylococcus aureus bacterial DNA, and a Taqman qPCR assay for the quantification of Streptococcus pneumoniae and Moraxella catarrhalis as described previously.³ Viral RNA was extracted, using in-house assays, from an additional sputum plug for PCR analysis, as previously described.³ Only samples with available sputum microbiology were analyzed. A sputum eosinophilia was defined as a sputum eosinophil count of >3%.³¹

Pentraxin 3 Quantikine ELISA

A Human Pentraxin 3/TSG-14 Quantikine ELISA Kit (R&D Systems, Oxfordshire, UK) was used to measure PTX3 levels; the assay was carried out as per manufacturer’s protocol and read using an EnVision plate reader (Perkin-Elmer, MA, USA). The lower limit of detection for PTX3 is 0.31 ng/mL. Readings taken at 560 nm wavelengths were subtracted from the readings taken at 450 nm to correct for any optical imperfections within the plate. The average optical density from the negative control was subtracted from each well to remove any background noise present. All standards, negatives, and samples were run in duplicate on each plate. The standards were plotted against the optical density value. The R² value was >0.97.

Statistical analysis

GraphPad Prism version 6 (GraphPad Software, Inc., La Jolla, CA, USA) and Statistical Package for the Social Sciences (SPSS) Statistics version 22 (SPSS, Inc., Chicago, IL, USA) were used for statistical analysis. The Kolmogorov–Smirnov test was applied for normality. PTX3 levels were log-normal transformed. All parametric data were displayed as mean and standard deviation (SD), all non-parametric data were displayed as median (interquartile range [IQR]), and log-transformed data were presented as geometric mean and 95% confidence interval. Paired and unpaired t-test and one-way analysis of variance (ANOVA) tests were used to compare two, three, or more groups, respectively. Receiver-operating characteristic (ROC) curves were utilized to measure the sensitivity and specificity of PTX3 as a biomarker. Repeatability analysis was conducted in 10 subjects over three stable visits and the coefficient of variation was used to test repeatability over time. For multiple exacerbation visits, only the first exacerbation was analyzed. A probability of P<0.05 was considered to be statistically significant.

Results

PTX3 was measured at stable state in 148 individual subjects, 6 of these were unreadable and so excluded from analysis; thus, a total of 142 subject samples were analyzed. A paired exacerbation result was available in 95 subjects. The baseline characteristics of the COPD subjects are presented in Table 2.

Table 2 Baseline characteristics of the 142 COPD subjects included in this analysis of pentraxin 3 levels

Subjects, n	142
Male (%)	102 (72)
Age (years)a	69 (45–88)
Smokers, n (%)	49 (34)
Ex-smokers, n (%)	88 (62)
Pack year history (units)a	52 (10–159)
GOLD 1 (%)	4 (3)
GOLD 2 (%)	56 (39)
GOLD 3 (%)	50 (35)
GOLD 4 (%)	32 (23)
Post-bronchodilator FEV1 (L)	1.30 (0.51)
Post-bronchodilator FEV1 (%)	50 (19)
FEV1/FVC ratio (%)	25 (25)
SGRQ, total score (units)	53.86 (17.59)
MRC (units)c	3.00 (2.00–4.00)
CRQ (units)	4.05 (1.14)
VAS total score (mm)	154.8 (77.56)
Inhaled corticosteroids treatment (%)	128 (90)
Long-acting beta agonist treatment (%)	118 (83)
Sputum neutrophils (%)	71 (22)
Total sputum neutrophil count (×10^3/mg)b	2.50 (1.92–3.25)
Sputum eosinophils (%)b	1.16 (0.92–1.47)
Total sputum eosinophil count (×10^3/mg)b	0.15 (0.10–0.19)
Colony-forming units/mLb (×10^7)	1.12 (0.72–1.74)
Bacterial load in sputum plugb (×10^8)	2.64 (1.76–3.91)

Notes: Unless indicated, all data are presented as mean and standard deviation in brackets. GOLD, Global Initiative for Chronic Obstructive Lung Disease individuals grouped (1–4) by severity of disease; SGRQ, scores ranging from 0 to 100 with higher score indicating worse health status (total score on domains of impact, symptoms, and activity); CRQ, scores range between 1 and 7 with higher score representing better health quality; VAS, performed on 100 mm line from “no symptoms” to “worst symptoms”, higher scores represent worse symptoms (total score addition of measured domains: cough, dyspnea, sputum production, and sputum purulence).

a Mean (range).

b Geometric mean and 95% confidence intervals.

c Median (interquartile range).

Abbreviations: CRQ, chronic respiratory disease questionnaire; FEV₁, forced expiratory volume in 1 second; FVC, forced vital capacity; MRC, medical research council; SGRQ, St George’s respiratory questionnaire; VAS, visual analog scale.

Stable state

The geometric mean (95% CI) of PTX3 was 50.5 ng/mL (41.4–61.7). Ex-smokers compared to current smokers had higher PTX3 levels (geometric mean [95% CI]: ex-smokers 61.3 ng/mL [48.5–77.4] vs current smokers 40.6 [28.3–58.3], P=0.05). PTX3 was not associated with severity of COPD, defined by Global Initiative for Chronic Obstructive Lung Disease (GOLD) (2007)³² or treatment with or without inhaled corticosteroids (ICS). There were no correlations seen between PTX3 and the post-bronchodilator forced expiratory volume in 1 second (FEV₁) (r=−0.13; P=0.15), subject health (MRC: r=0.04, P=0.66; CRQ: r=−0.07, P=0.40; SGRQ: r=0.05, P=0.54; and VAS: r=−0.01, P=0.91), CRP (r=0.13, P=0.14), or absolute blood neutrophils (r=0.09, P=0.27). PTX3 was associated with sputum total cell count (r=0.35, P<0.01; Figure 1A) and neutrophilic airway inflammation (r=0.37, P<0.01; Figure 1B). PTX3 was associated with bacterial load, measured by CFU/mL (r=0.29, P<0.01; Figure 1C) and total 16S qPCR (r=0.18, P=0.05; Figure 1D). Non-eosinophilic subjects had significantly higher PTX3 levels than eosinophilic subjects (fold difference [95% CI] 0.30 [0.10–0.50]; P<0.01). For individual pathogens, pathogen-specific qPCR demonstrated a weak but non-significant correlation of PTX3 with S. pneumoniae (r=0.33; P=0.38) but not M. catarrhalis (r=0.01; P=0.98) or H. influenzae (r=−0.04; P=0.84). There were too few single S. aureus qPCR isolates to analyze. PTX3 was not a predictor of bacterial colonization at stable state (ROC area under the curve [AUC] 0.59, 95% CI 0.43–0.76, P=0.21) and was stable over time with a coefficient of variation 10% (Figure 2).

Figure 1 Correlations between PTX3 and (A) TCC in sputum; (B) absolute neutrophil count in sputum; (C) CFU/mL (C); and (D) bacterial load measured by 16S quantitative polymerase chain reaction.

Abbreviations: CFU, colony forming units; PTX3, pentraxin 3; TCC, total cell count.

Figure 2 PTX3 levels from 10 subjects over three stable visits.

Note: Mean 95% CI.
Abbreviations: CI, confidence interval; PTX3, pentraxin 3.

At exacerbation

During an exacerbation, there was a significant increase in PTX3 levels from a stable to exacerbation state (fold difference 0.15, 95% of difference 0.02–0.29; P=0.02). Subjects with an increase in PTX3 at the exacerbation were also more likely to culture a pathogen (Table 3). PTX3 at exacerbation correlated with CFU/mL (P<0.01, r=0.30) but not total 16S (P=0.91, r=−0.01). At exacerbation, there was a moderate but non-significant correlation of PTX3 with H. influenzae single isolate pathogen-specific qPCR (r=0.41, P=0.18) but not M. catarrhalis (r=−0.12, P=0.82). There were too few isolates of S. pneumoniae and S. aureus to analyze. A PTX3 level of 118.0 ng/mL had a sensitivity and specificity of 60%, respectively (ROC AUC 0.65, 95% CI 0.52–0.78, P=0.03) to determine a bacterial exacerbation. The presence or absence of viruses at the onset of an exacerbation did not affect PTX3 levels (fold difference [95% CI] of 0.03 [−0.25 to 0.32]; P=0.81). The combination of bacteria and virus detection at exacerbation demonstrated similar PTX3 levels to bacteria alone (Figure 3). In a small subset of subjects (n=11) with sputum PTX3 measured at a stable, exacerbation and exacerbation follow-up visit, a trend to increase in PTX3 from stable to exacerbation state was seen in the 11 paired subjects and a trend to reduction at follow-up (Figure 4).

Table 3 Difference in culture growth between subjects that saw an increase in PTX3 levels compared with those that saw a decrease from stable to exacerbation state

Microbiology result	Increase in PTX3 (n=57)	No increase (n=38)
Haemophilus influenzae	16 (28)	5 (13)
Moraxella catarrhalis	5 (8)	1 (3)
Streptococcus pneumoniae	7 (12)	1 (3)
Staphylococcus aureus	0 (0)	0 (0)
Pseudomonas aeruginosa	1 (2)	2 (6)
No significant growth	28 (49)	29 (76)

Note: Data presented as n (%).

Abbreviation: PTX3, pentraxin 3.

Figure 3 PTX3 levels when divided according to the presence of a virus or bacterial infection.

Note: Mean 95% CI.

Abbreviations: CI, confidence interval; PTX3, pentraxin 3.

Figure 4 PTX3 levels in 11 paired sputum samples at stable, exacerbation, and 2 weeks post-exacerbation treatment.

Abbreviation: PTX3, pentraxin 3.

Discussion

In this study, we aimed to determine if PTX3 was a sensitive biomarker for bacterial colonization at stable state and for a bacterial exacerbation in subjects with COPD, by measuring PTX3 concentrations in sputum. We have demonstrated for the first time that PTX3 in subjects with COPD correlates with bacterial burden, both at stable state and exacerbations and increases during an exacerbation event. PTX3 did not correlate with symptoms or lung function and was a reasonable predictor of a bacteria-associated exacerbation.

Previous studies in non-COPD cohorts have shown PTX3 to rapidly increase due to an infection.^19,33 PTX3 has been shown to be elevated in COPD subjects compared with healthy controls in plasma³⁴ and sputum.³⁵ PTX3 levels have been correlated with the number of neutrophils present in sputum and have been shown to be elevated in current and ex-smokers compared with non-smokers.³⁶ Our results support these statements. To our knowledge, no study has looked into PTX3 as a viable biomarker for a bacterial colonization or bacterial exacerbation in COPD subjects, though this has been suggested.³⁷

PTX3 levels have previously been linked to inflammatory diseases;²² so it was not surprising to see a correlation between PTX3 levels and neutrophils in sputum, a pro-inflammatory cell,³⁸ and also a cell involved in PTX3 storage.¹⁷ PTX3 has also been implemented in bacterial infection,^18–21 and our study supports this as we found a correlation between bacterial load (CFU/mL) in sputum at stable and exacerbation states implying that PTX3 expression in the lungs is driven by bacterial infection. This was further highlighted when PTX3 expression was relatively unchanged with the presence of a virus. Although non-significant, we did identify a moderate correlation of H. influenzae individual pathogen-specific qPCR with PTX3 during an exacerbation but not at stable state. This is unsurprising as H. influenzae is a commonly isolated pathogen in COPD patients³⁹ and is the main driver of inflammation.⁴⁰ Further work is needed to fully investigate the role of individual pathogens in PTX3 expression.

Limitations

This study has a few limitations. First, we did not have data on PTX3 in healthy controls, which would support whether levels detected in the COPD population are elevated; an additional infection control, such as bronchiectasis, would provide added value. However, this is the first study to look at infection (chronic and thus colonization) versus acute (bacteria-associated) exacerbations demonstrating modest utility of PTX3. Finally, advances in qPCR mean it is now possible to measure bacteria more accurately using plasmids⁴¹ and to exclude dead bacteria.⁴² As this was not available at the time of this work, we cannot confirm if the modest associations seen are a consequence of the inclusion of live and dead bacteria, and both these advancements in the field would greatly enhance this study.

Conclusion

To conclude, this study found that PTX3 correlates with bacterial load and that PTX3 is not sensitive or specific enough to be used as a biomarker for bacterial colonization but could be a potential biomarker for a bacteria-associated exacerbation in patients with COPD. However, further work is warranted to fully evaluate this.

Author contributions

MB is the guarantor of the content of the manuscript, including the data and analysis. All authors participated sufficiently in the work, the data analysis, and/or the preparation of the manuscript, and have reviewed and approved the manuscript for submission. MB and CEB contributed to the design of the study. MD, SJT, MRB, VM, KH, CEB, and MB contributed to data analysis, and all authors contributed to data interpretation and to the writing of the manuscript.

Acknowledgments

The authors thank Mrs Beverley Hargadon, Mrs Susan McKenna, Ms Amisha Singapuri, and Mrs Maria Shelley for their assistance in patient characterization. They thank Mrs Carlene White, Mrs Debbie Parker, and Mr Mitesh Pancholi for their assistance in sputum processing. They also thank Professor Sebastian Johnston and Dr Tatiana Kabadze for their assistance in viral PCR processing.

This work was funded by the Medical Research Council, the Wellcome Trust & Academy of Medical Sciences, and the Oxfordshire Health Services Research Committee. This paper presents independent research funded by the National Institute of Health Research, and the views expressed are those of the authors and not necessarily those of the NHS, the NIHR, or the Department of Health.

Disclosure

All authors declare no financial support from, or relationship with any organization that may have an interest, for the submitted work. MB is funded by a National Institute of Health Research (NIHR) Post-doctoral Fellowship (PDF-2013-06-052) and Oxford Health Sciences Research Committee. MB has received travel support from AstraZeneca, Boehringer Ingelheim, and GlaxoSmithKline and consultancy honoraria outside the submitted work from AstraZeneca, Boehringer Ingelheim, Chiesi, GlaxoSmithKline, and Pfizer. CEB was funded by a Wellcome Trust Senior Fellowship. CEB has received grant support and consultancy honoraria outside the submitted work from AstraZeneca, Boehringer Ingelheim, Chiesi, GlaxoSmithKline, Medimmune, Novartis, and Roche. The authors report no other conflicts of interest in this work.