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High-density Bacterial Nasal Carriage in Children Is Transient and Associated With Respiratory Viral Infections—Implications for Transmission Dynamics

Thors, Valtyr, MD, PhD*,†; Christensen, Hannah, PhD; Morales-Aza, Begonia, BSc*; Oliver, Elizabeth, BSc*; Sikora, Paulina, BSc*; Vipond, Ian, PhD§; Muir, Peter, MD, PhD§; Finn, Adam, MD, PhD*,‡

The Pediatric Infectious Disease Journal: May 2019 - Volume 38 - Issue 5 - p 533–538
doi: 10.1097/INF.0000000000002256
Translational Medicine Reports
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Background: This longitudinal study describes the associations between respiratory viral infections, rhinitis and the prevalence and density of the common nasopharyngeal bacterial colonizers, Streptococcus pneumoniae (Sp), Moraxella catarrhalis (Mc), Haemophilus influenzae (Hi) and Staphylococcus aureus.

Methods: In an observational cohort study, 161 children attending day care centers in Bristol, United Kingdom, were recruited. Monthly nasopharyngeal swabs were taken and stored frozen in Skim-milk, tryptone, glucose and glycerin broth (STGG) broth. Quantitative polymerase chain reaction was used for detection of respiratory viruses and 4 bacterial species. t tests and logistic regression models were used for analysis.

Results: The frequent colonisers, Sp, Mc and Hi were more frequently found at high density in contrast to Staphylococcus aureus although temporally, high-density carriage was short lived. Respiratory viral infections and symptoms of rhinitis were both independently and consistently associated with higher bacterial density with an observed 2-fold increase in density for Sp, Mc and Hi (P = 0.004–0.017).

Conclusions: For Sp and Hi, the association between young age and higher bacterial DNA density was explained by more frequent viral infection and increased nasal discharge, while the associations between some viral specie’s and some bacterial species’ density appear to be stronger than others. Increased colonization density and rhinitis may promote transmission of these commonly carried organisms.

From the *School of Cellular and Molecular Medicine, University of Bristol, Education Centre, Bristol, United Kingdom

Children’s Hospital, Landspitali University Hospital Iceland, Reykjavik, Iceland

School of Population Health Sciences, University of Bristol

§Public Health Laboratory Bristol, Public Health England, Southmead Hospital, Bristol, United Kingdom.

Accepted for publication October 15, 2018.

The authors have no conflicts of interest to disclose.

Supplemental digital content is available for this article. Direct URL citations appear in the printed text and are provided in the HTML and PDF versions of this article on the journal’s website (www.pidj.com).

Address for correspondence: Adam Finn, MD, PhD, Education Centre, Upper Maudlin Street, Bristol BS2 8AE, United Kingdom. E-mail: adam.finn@bristol.ac.uk.

The prevalence of the most commonly cultured nasopharyngeal (NP) microorganisms, Streptococcus pneumoniae (Sp), Moraxella catarrhalis (Mc), Haemophilus influenzae (Hi) and Staphylococcus aureus (Sa) is influenced by several factors including age, day care attendance, social background, geographical location, smoke exposure, season and ethnicity.1–4 Although these organisms may be associated with disease, usually they form an integral part of the commensal flora of healthy individuals. Many of these bacteria are most frequently found in young children, especially in situations where close contact is common, for instance in day care centers (DCCs) where transmission between children occurs easily.5 , 6 Several other factors are thought to influence bacterial colonization directly, including viral infections, host mucosal immune responses and other residing commensal bacteria1 although interactions between different species in the NP are complex and reports of positive and negative associations between species have been conflicting.7–12

Viral upper respiratory tract infections (URTIs) are common, especially in winter and in young children attending DCCs, leading to a wide range of clinical symptoms, but usually at least some degree of rhinitis.13 , 14 We have published observational data on this and found age-independent associations between rhinitis symptoms and the presence of viral nucleic acid (NA), Hi prevalence and density as well as increased Sp density in the presence of viral URTIs.10 , 15 We and others have in addition contributed to the mounting evidence that viral infections are important in the dynamics of bacterial colonization,16–20 and animal models have suggested the role of viral URTI, influenza in particular, in the acquisition of new colonizing bacteria.21–23

To explore the associations between viral URTI and the prevalence and density of childhood bacterial NP colonization over time, we performed a single-center, prospective observational cohort study, recruiting healthy children attending DCCs in the city of Bristol, United Kingdom. The children had NP swabs taken each calendar month at their respective DCCs from November 2011 to March 2012. Based on our previous work, it is plausible that bacteria proliferate in response to viral rhinitis and thus exploit the opportunity for successful transmission.10 , 15 The bacteria may perhaps extend or amplify the rhinitis symptoms and increase the chances further. We have published observational data on this and found age-independent associations between rhinitis symptoms and the presence of viral NA, Hi prevalence and density as well as increased Sp density in the presence of viral URTIs.10 We have also shown in a randomized interventional study that administration of attenuated influenza viruses as nasal flu vaccine increases carriage density of pneumococci, Hi, Mc and possibly Sa.15 Here, we report associations between naturally acquired respiratory viral infections in children and bacterial colonization rates and densities. The aim was to define baseline carriage rates and density distributions of commensal bacteria and the prevalence of the most common viral respiratory infections and to explore associations between these variables. Secondary objectives were to describe the biology of carriage in terms of duration and density.

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METHODS

Children up to 5 years old were recruited in DCCs in Bristol, United Kingdom, for monthly NP sampling in the winter period 2011–2012. All children were attending the DCCs at the time of sampling and were considered healthy. Nine DCCs agreed to participate in the study. After receiving approval from each DCC to conduct the study and to approach parents, information sheets were distributed and signed informed consent for all study procedures obtained. Most children (134/161) were enrolled in November 2011, and each of them had 5 scheduled visits, 1 per calendar month. The remaining 27 children, who were recruited in December 2011, were only offered 4 visits at their respective DCCs.

The study was approved by the National Research Ethics Service—Central Bristol Committee (Reference number 11/SW/0272) and sponsored by the University of Bristol.

Demographic information and medical history were collected at recruitment. All information was entered into an encrypted and password-protected database. At each visit, an NP swab was obtained as previously described10 and a nasal discharge Symptoms of nasal outflow tally (SNOT) score was recorded (on the scale of 0–3).10

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Microbiologic Detection Methods

We used quantitative polymerase chain reaction (qPCR) assays for the detection of Sp, Mc, Hi and Sa and used standard curves for conversion of cycle threshold values to gene copies (GC)/mL as previously described.19 Lower limits of detection were set at 35 cycles. NA from respiratory viruses were detected using a qPCR panel as previously published15 with lower limits of detection also set at 35 cycles.

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Statistical Analysis

Statistical analysis was done using Stata version 12.1 (StataCorp, College Station, TX). Univariate χ2 and t test analyses comparing bacterial colonization prevalence and density in children with and without detectable respiratory viruses were done, and, where necessary, logarithmic transformation of bacterial density was done to attain normal distribution. Pearson’s coefficient and linear regression was used to evaluate linear correlation between age and bacterial density. For multivariable analysis, Generalized Estimating Equations24 , 25 were used as an analytic method, taking account of repeated sampling from the same individual and correcting for age, viral infections, nasal discharge and within-subject correlations, expressed as correlation coefficients. Using this approach, the effect of each variable was assessed after correcting for all the others. In the multivariable analysis of the effects of individual viruses on bacterial density, each virus was analyzed, irrespective of the finding of more than one virus in the same sample.

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RESULTS

One-hundred sixty-one children were recruited from the 9 participating DCCs (8 – 42 participants from each). The mean age was 32.0 months (standard deviation: 11.5), and 81 (50.3%) were male (Table 1). One-hundred thirty-seven (85.1%) children had 3 or more samples taken. Although the majority of children had no significant medical history, 18 reported some underlying condition of whom 7 (4.3%) had recurrent wheeze and 6 (3.7%) recurrent otitis media.

TABLE 1

TABLE 1

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Bacterial and Viral Prevalence

For the whole sample set, median detection rates (Supplementary Table 1, Supplemental Digital Content 1, http://links.lww.com/INF/D379) were 80.4% (point prevalence range: 74.6%–82.7%), 85.2% (82.5%–91.3%) and 85.3% (79.1%–88.1%) for Sp, Mc and Hi, respectively, with few apparent changes throughout the study period. Sa had lower median detection rates (7.0%) with relatively more variation over time (point prevalence range: 4.3%–9.5%), with higher rates in older children (Fig. 1).

FIGURE 1

FIGURE 1

Detection of Sp, Mc and Hi was near-universal in this study, and only 2, 2 and 3 children, respectively, were consistently negative for each of these species while more than half remained consistently polymerase chain reaction–positive throughout for each of the 3. In contrast, the duration of detectable Sa carriage was short, with only 5 children (of whom 3 were from the same DCC) carrying the organism in 2 consecutive samples. In all other instances, the children either never had Sa detected (126 children; 78.2%) or only had it detected at a single visit (30 children; 18.6%).

Viral NA was found in 284 of 627 samples, and rhinovirus was the most frequently identified virus (21% of the samples), most commonly in November and March (in 28.7% and 26.1% of samples, respectively), followed by coronaviruses in 15% of samples with a large peak in December when it was detected in 33.1% of all samples. Among the viruses tested for, others were found in less than 5% of all samples while influenza B was the only virus not detected (data not shown).

In a multivariable regression analysis looking at age, viral NA and SNOT score, Sp NA and Mc NA were more likely to be detected with viral NA, while presence of Hi was associated with rhinitis symptoms (Table 2).

Table 2

Table 2

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Density of Colonizing Bacteria

Overall median (and range) bacterial NA densities in GC/mL for the 4 bacterial species studied over the whole period were 815 (4 – 4.0 × 105), 2429 (4 – 1.8 × 106), 2899 (4 – 3.4 × 106) and 135 (38 – 1.5 × 105) for Sp, Mc Hi and Sa, respectively. Bacterial NA density declined with age for Sp, Mc and Hi, while for Sa it increased slightly (Fig. 1).

The bacterial NA density in individual children of the 3 bacterial species carried at high frequency tended to be very unstable over time. Among all children who had the same bacterial species detected in 2 or more of their samples, the mean range density was 2.9, 3.3, 3.3 and 2.7 Log10 GC/mL for Sp, Mc, Hi and Sa, respectively. This is further illustrated in Figure 2 for 20 children, in each case, who had the highest recorded density samples (generally >105 GC/mL). In general, samples collected before and after these individual peaks had density values at least 1 and often several logs lower. In contrast, Sa was rarely detected at high density, and few children had this bacterial species detected in consecutive samples.

FIGURE 2

FIGURE 2

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Regression Models for Bacterial Density

No evidence was found of independent association between colonization densities of Sp, Mc and Hi with age, while they were independently associated with the presence of respiratory viral NA and nasal discharge (Table 3), while for Sa there was no evidence of association with age or viral infection and the association with rhinitis score was negative. Associations between the presence of individual viral species and densities of the 4 bacterial species are shown in Table 4. For Sp, Mc and Hi, apparent positive associations were consistently seen although in many cases the strength of the evidence that these were not chance events was weak, possibly because of the relatively low numbers of observations for many of these combinations.

Table 3

Table 3

Table 4

Table 4

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DISCUSSION

In this study, we report the novel finding of transient peaks in high-density bacterial NA in young children along with further evidence of association between high-density bacterial NA and respiratory viral infection as previously reported.8 , 26–28 Although neither causality nor its direction can be directly inferred from these observations, we have previously described modest increases in colonizing bacterial density after administration of live attenuated nasal influenza vaccine,15 and the findings presented here could potentially reflect similar mechanisms of bacterial behavior whereby transmission between preschool age children is achieved by sensing and responding to a “window of opportunity” provided by the rhinitis symptoms caused by viral infection. However, whether the rises in bacterial NA density we observe are caused by previously colonizing bacteria, the acquisition of new strains or a mixture of both, remains unclear. Our data suggest that several colonizing bacterial species may also contribute to the severity or duration of rhinitis (Table 3). High-density carriage episodes seem to be short lived in most cases (Fig. 2), which would be compatible with an unstable transmission dynamic in the day care setting with individual children being transiently highly infectious to others for particular bacterial and viral species. This state of constant flux may be further complicated by enhanced susceptibility to acquisition of bacteria in children with intercurrent viral infection20 and as previously reported in animal models.21

The introduction of universal pneumococcal conjugate vaccine in children and appreciation of the effects on carriage ecology of Sp have led to collection of significant information about colonization by this bacterial species.29 Information about the equally abundant Hi and Mc is scarcer, and the colonization rates we report here for all 3 species in a cohort of young healthy British children attending DCCs are higher than in most previous reports.30–33 Using detection by qPCR, as described previously in this cohort as well as in other age groups and bacterial species,19 , 34 permits sensitive, accurate quantification of bacterial genomes in mucosal samples, and although the technique will enumerate both viable and nonviable organisms and therefore may somewhat overestimate carriage rates as detected by culture, this information is relevant to the overall understanding of the microbial biology and life cycles under study.

Our observations concerning Sa in this study contrast with those for the other bacterial species, suggesting a distinct life style as reported by others.28 The lower rates of detection may reflect a distinct anatomical distribution in the human upper respiratory tract,35 , 36 but alongside the carriage rates,4 , 10 Sa colonization density increases with age in preschool children while density of the other species fall (Fig. 1). Although the smaller numbers of carriers observed in the study reduced statistical power, in contrast to the other bacterial species, no discernible independent associations between presence of Sa and either detection of viral NA or severity of rhinitis symptoms were evident in this study (Table 2), and density was, if anything, inversely correlated with rhinitis and influenza infection (Tables 3 and 4). This contrasts with our previously reported data suggestive that Sa density is higher after administration of nasal influenza vaccine.15

By using a robust statistical approach which corrects for multiple potential confounding factors including repeated sampling from the same individuals, we show that, for both Sp and Hi, the evident downward trends in bacterial detection rates and density with age can be explained largely or entirely by the reduced presence of viral infections and rhinitis. For Mc, this is less clearly the case, and with the possible exception of parainfluenza virus, bacterial density associations with viral infections appear to be somewhat weaker (Table 4), while for Sa the situation is clearly distinct as discussed above. Thus, our results suggest that gains in immunologic experience and/or maturation as children grow older may be mediating their effects on bacterial colonization more through reducing viral infections rather than directly by increased mucosal immunity to the bacteria themselves.

Influenza detection rates in this study were in keeping with Public Health England surveillance data on respiratory pathogens in 2011–2012 when flu A was detected predominantly with the peak activity in February and March 201237. A big national rise in the detection of coronaviruses was noted in December37 as also observed in our cohort affording the opportunity to make the novel observation that coronavirus infection is associated with increases in colonization density of Sp and Hi while evidence that several other respiratory viruses are associated with high bacterial colonization density is presented (Table 4). Further, larger studies could confirm or refute and measure the strength of these relationships.

While the dramatic shifts around peaks in bacterial NA density over time observed in this study (Fig. 2) are likely to be real, since such large and consistent changes are unlikely to occur because of errors and uncontrolled variations in sampling and laboratory methodology, it is much more difficult to draw conclusions about what is going on at the other end of the scale. In this study, about half of the children carrying Sp carried the organism in every sample, and few children (21%) had 3 or more changes in their colonization status (from positive to negative or vice versa, data not shown). Whether the latter group really represent stable low-density carriage that crosses the lower limit of detection for the qPCR assay or frequent acquisition followed by rapid elimination is unclear. Also, the duration of viral NA carriage is uncertain. We did on occasions observe 2 consecutive positive samples for 1 particular virus but because of the small cohort and different viruses, no meaningful analysis could be done regarding these findings. While the design of the study did not permit assessment of transmission of individual microorganisms between children alongside clinical illnesses, we are currently undertaking a follow-on study of bacterial transmission within family units. More detailed genetic analysis of carriage and shorter intervals between samples could help define this in more detail although sensitivity to detect bacterial material or to culture viable strains remains a challenge.

The evident association between respiratory viral infections and rates and density of NP bacterial colonization raises the possibility that control and prevention of the former might have profound effects upon the prevalence, transmission and ultimately disease caused by the latter. If onward bacterial transmission occurs more frequently when they are present at high density, then it may be more important and useful to evaluate impact of interventions, including vaccines, upon the size and duration of high-density spikes than upon overall prevalence of carriage, much of which, especially when at very low density, may be associated with much lower risk of transmission.

Other determinants of bacterial and host phenotype presumably also affect the capacity to transmit successfully. The interplay between respiratory viral infections, upper respiratory tract colonizing bacteria and host innate and specific antiviral and antibacterial mucosal immune responses therefore needs to be elucidated in more detail. This would help the understanding of this ecosystem, its occasional punctuation by episodes of clinically significant infectious illness and the ways it is affected by both bacterial and viral vaccines. It is important to find ways to answer such questions, so that future studies of carriage, conducted to evaluate the indirect effects of vaccines, can be designed and interpreted correctly.

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Keywords:

Nasopharynx; Bacterial density; Viral respiratory tract infections; Transmission

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