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. Author manuscript; available in PMC: 2018 Apr 1.
Published in final edited form as: Laryngoscope. 2016 Sep 22;127(4):882–887. doi: 10.1002/lary.26223

Laryngeal T regulatory cells in the setting of smoking and reflux

Marie E Jetté 1, Christine M Seroogy 2, Susan L Thibeault 3,1
PMCID: PMC5360507  NIHMSID: NIHMS803152  PMID: 27653511

Abstract

Objective

The larynx is a mucosal organ rich in lymphatic tissue that is regularly exposed to a multitude of inhaled, ingested, and refluxed microorganisms and irritants. The first line of mucosal immune defense is the barrier, including resident immune cells. T regulatory (Treg) cells are a specialized subset of CD4+ T cells that suppress or dampen immune responses to prevent damaging immunopathology. As Treg cells have been shown to preferentially accumulate at sites of infection and Treg responses may contribute to persistence of infection by impairing anti-bacterial immunity, we sought to quantify these cells in laryngeal tissue exposed to smoking and reflux.

Study Design

Cross-sectional study

Methods

Using an epigenetic assay, we quantified Treg and T cells and calculated the ratio of Treg to T cells (i.e., cellular ratio of immune tolerance or “ImmunoCRIT”) in disease-free laryngeal biopsies representing four inflammatory states: (1) tobacco-exposed tissue; (2) refluxate and tobacco-exposed tissue; (3) refluxate-exposed tissue; and (4) unexposed tissue.

Results

There was epigenetic evidence of Treg cells in all tissues, and we found no differences in Treg cell frequency relative to smoking and reflux in laryngeal tissue collected from 42 non-treatment-seeking participants. There was a decrease in total T cell frequency and an increase in ImmunoCRIT values in smokers regardless of reflux status.

Conclusion

In this study, laryngeal tissue from smokers show decreased overall T cells and increased ImmunoCRIT values. Our findings indicate that laryngeal inflammation is not directly mediated by loss of Treg cells in response to smoking and this environmental exposure in modulating laryngeal immune homeostasis. More studies are indicated to explore Treg cell dysfunction in the pathophysiology of laryngeal disease.

Keywords: larynx, T regulatory cell, vocal fold, mucosal immunity

Introduction

The larynx represents a major site of exposure to inhaled, ingested, and refluxed microorganisms and irritants. To address these challenges, the mucosal larynx is rich in lymphoid tissue localized to the laryngeal surface of the epiglottis and the false vocal folds13. Larynx-associated lymphoid tissue (LALT) is characterized by the presence of reactive germinal centers containing macrophages, dendritic cells and T lymphocytes, though its role in immune defense remains unknown2.

The healthy adaptive immune response balances the activity of effector and suppressor cells (Figure 1). Cluster of differentiation 3 (CD3) protein complex is expressed on all T cell lineages. Most CD3+ T lymphocytes have differentiated, or have the ability to differentiate into effector T cells important for pathogen eradication or cellular destruction. In contrast, T regulatory (Treg) cells, defined as CD4+CD25+forkhead box (Fox)P3+, are CD3+ T cell subset that act by suppressing or dampening heightened immune responses thereby preventing the incidence of damaging immunopathology. Treg cells are also implicated in chronic infections, as their role in weakening the immune response can result in persistence of an infectious organism or agent4. Treg cells secrete anti-inflammatory cytokines, including IL-10 and TGF-β and express the inhibitory co-stimulatory protein, cytotoxic T-lymphocyte 4 (CTLA-4) and they can be induced from naïve T effector cells in the periphery or develop naturally in the thymus. Induced Treg cells commonly arise at sites of constant exposure to foreign antigens in locations where there is contact with the external environment (e.g., mucosal surfaces)5. Since Treg cells have been shown to be involved in both the control of immunopathology and the persistence of chronic infections, we assessed differences in laryngeal tissue T cell and Treg cell frequencies relative to two etiologic factors implicated in laryngeal inflammation – smoking and reflux – hypothesizing that there would be elevated Treg cells in exposed tissue.

Figure 1.

Figure 1

A balance of T regulatory and T effector cells is necessary for an efficient immune response.

To specifically quantify tissue T cells and Treg cells, we used a validated epigenetic approach. Since activated effector T cells can transiently express Foxp3 protein without demethylating critical Treg promoter regions known to maintain the Treg cell phenotype, differences in Treg-specific demethylated region (TSDR) using bisulfite sequencing and quantitative polymerase chain reaction (qPCR) was used to quantify total CD3+ T cells and Treg cells. The ratio of Treg cells to all CD3+ T cells has been referred to as the “cellular ratio of immune tolerance” or “ImmunoCRIT”, an important determinant of immune tolerance6. In the cancer literature, benign pathology demonstrates a significantly decreased median ImmunoCRIT values compared with tumors of increasing aggressiveness6,7. We therefore hypothesized that laryngeal tissue exposed to smoking and reflux would yield increased ImmunoCRIT values relative to unexposed tissue.

Materials and Methods

Participant Selection

Participants aged 21–65 years were recruited with newspaper and email advertisements and signs in the clinic and around the University of Wisconsin-Madison. Participants underwent videolaryngostroboscopic examination and 24-hour multichannel intraluminal impedance with pH monitoring, with each procedure performed on separate dates. The protocol was approved by the Institutional Review Board of University of Wisconsin-Madison and informed consent was obtained from all participants. Inclusion and exclusion criteria for each participant is outlined in detail in Jette et al.8. Briefly, participants were excluded from the study if they had a recent history of laryngeal surgery or disease and/or substance or alcohol abuse. Additionally, they were excluded for taking any medications associated with reflux treatment. Nonsmokers had not smoked during the previous year, whereas smokers were designated based on consumption of a minimum of 5 cigarettes/5g of tobacco per day for the duration of one or more years, thereby distinguishing them from light smokers9,10.

Reflux Diagnosis

Participants underwent 24-hour multichannel intraluminal impedance monitoring with pH probe for objective reflux diagnosis. They were designated into three cohorts – Normal, Laryngopharyngeal Reflux (LPR), and Gastroesophageal Reflux (GERD) – based on criteria outlined in Jette et al.8 as summarized in Table 1.

Table 1.

Cohort Inclusion and Exclusion Criteria (Summarized from Jetté et al.8)

Inclusion Criteria Smoker Nonsmoker GERD LPR Normal
Age (years) 18–65 18–65 18–65 18–65 18–65
Acid exposure time -- -- >4.0% -- <4.0%
DeMeester score -- -- >14.7 -- <14.7
Bolus (combination of gas and liquid reflux) exposure time -- -- >1.4% -- <1.4%
Proximal reflux events -- -- -- >31 <31
Smoking ≥5 cigarettes per day for ≥ 1 year None in previous year -- -- --
Exclusion Criteria
Past Medical History: radiation therapy to head and neck within 5 years, chronic sinusitis or rhinitis within past year, acute traumatic event to larynx in last year, malignancy within past 5 years, infectious laryngitis in past 3 months, substance or alcohol abuse
Past Surgical History: Lung or gastroesophageal surgery, tracheostomy, laryngeal or tracheal surgery
Medications: diazepam, phenytoin, mephenytoin, warfarin, anticholinergics, antineoplastics, prostaglandin analogs, H2-receptor antagonists, steroids (inhaled, oral, intravenous), promotility drugs, sucralfate, theophylline or other investigational compound in previous 60 days, PPI or H2 blockers in past year
Pregnancy or lactation

Sample Collection

An Olympus ENF-T3 flexible fiberoptic laryngoscope with biopsy forceps passed through a biopsy channel was used following topical anesthesia with 4% lidocaine and tissue was sampled from the false vocal cords. In all cases, sampling was completed aseptically. Tissue biopsies were snap frozen within seconds of retrieval and stored at −80°C prior to processing for molecular analysis.

Genomic DNA Isolation

DNA was extracted with the EpiCenter MasterPure Complete DNA and RNA Purification Kit (Illumina, Madison, WI) with modifications to the manufacturer’s protocol as described in a paper previously published by our research group11. In brief, silica beads and proteinase K were used to lyse and homogenize tissue with regular vortexing. DNA was resuspended in TE, quantified using a spectrophotometer (NanoDrop, Thermo Scientific, Wilmington, DE) and stored at −20°C until use.

Bisulfite-conversion, Bisulfite Sequencing and qPCR

Genomic DNA was sent to Epiontis (Berlin, Germany) for epigenetic analysis. Bisulfite conversion of genomic DNA, bisulfite sequencing of FOXP3, CD3γ and CD3δ regions, and GAPDH, and qPCR was performed as described elsewhere.12 Sequencing analysis was completed as previously described in Barth et al.7 In brief, Treg cell frequency was determined by calculating the percentage of TSDR demethylation (Treg cell epigenetic signature) divided by GAPDH demethylation as the denominator within the genomic DNA sample. Overall T cell frequency was determined as the percentage of demethylated CD3γ and CD3δ intergenic region (CD3) divided by the GAPDH demethylation as the denominator. ImmunoCRIT is calculated as a ratio of percent TSDR demethylation divided by the percent of CD3 demethylation as denominator within each sample.

Statistical Analysis

Data including T cell %, Treg %, and ImmunoCRIT were analyzed using general linear modeling including the main effects of smoking and reflux using R13 and t-tests in Prism (GraphPad, La Jolla, CA) to assess differences between smokers and nonsmokers.

Results

Participant and Sample Characteristics

Clinical and demographic characteristics of the participants are outlined in Table 2. Genomic material extracted from false vocal fold biopsies of 43 participants yielded sufficient concentrations of DNA (>2.5 μg) for epigenetic analysis and were sent to Epiontis for analysis. Of these, 42 passed quality control for Treg and T cell epigenetic analysis.

Table 2.

Participant and Sample Characteristics

Smokers
Nonsmokers
GERD LPR Normal GERD LPR Normal


N 5 2 2 6 15 12
Women, % 60 100 100 50 67 67
Age, y (range) 46 (25–61) 34 (26–37) 44 (48–60) 47 (21–65) 36 (21–60) 45 (23–59)
Treg, % 1.29 (−0.08–2.66) 1.07 (−1.42–3.57) 1.09 (−5.45–7.63) 1.75 (0.64–2.86) 1.62 (0.97–2.26) 1.63 (0.81–2.45)
T cell, % 11.81 (7.79–15.84) 13.43 (−90.05–116.91) 17.15 (−157.35–191.66) 21.93 (13.85–30) 26.33 (19.83–32.82) 23.65 (16.81–30.49)
ImmunoCRIT, % 13.19 (−2.25–28.64) 14.05 (−112.79–140.88) 11.06 (−63.35–85.47) 8.70 (3.61–13.79) 6.11 (4.63–7.59) 6.65 (4.04–9.26)

Treg and T cell are mean values. ImmunoCRIT is the mean of all Treg/T cell ratios across a cohort. 95% confidence intervals are noted in parentheses.

Laryngeal Tissue Treg cell Frequency, T cell Frequency, and ImmunoCRIT Values

Treg cell frequency (%) varied from 0.4–5.2% (mean = 1.6%) and T cell % varied from 3.4–53.1% (mean = 22.2%) across all samples. ImmunoCRIT values ranged from 2.7–30.7. A general linear model including the main effects of reflux and smoking demonstrated no differences in the frequency (%) of Treg cells attributed to these characteristics. The frequency (%) of total CD3+ T cells was decreased in smokers (Figure 2), and unaffected by other participant characteristics including sex and age. ImmunoCRIT values were increased in smokers. See Table 3 for detailed results of linear regression analysis.

Figure 2.

Figure 2

Differences in T regulatory cell and total T cell frequency between smokers and nonsmokers with total T cell frequency decreased in smokers (p=0.02). Error bars show standard deviation.

Table 3.

Multiple Linear Regression Analysis


Treg Cell % (P=0.74; R2=0.03)*
Reference Estimate^: 1.63%
T Cell % (P=0.04; R2=0.20)
Reference Estimate: 24.13%
ImmunoCRIT(P=0.05, R2=0.18)
Reference Estimate: 6.5

Variable Estimate (%) Standard Error P Estimate (%) Standard Error P Estimate (%) Standard Error P
GERD 0.14 0.48 0.77 −2.31 4.37 0.60 1.77 1.6 0.48
LPR −0.015 0.41 0.97 1.84 3.74 0.63 −0.09 2.47 0.97
Smoker −0.51 0.45 0.27 −9.91 4.16 0.02 5.45 2.35 0.03
*

P-value and multiple R2 for model examining the main effects of smoking and reflux

^

Reference Estimate is the linear model estimate for a Normal Nonsmoker

Discussion

It has been hypothesized that the larynx is an important organ for immunological decision-making in the airway14, as it represents a major site of exposure to pathogens and irritants. The present study complements the existing larynx immunology literature by comparing Treg cells in human tissue that has had variable exposure to refluxate and cigarette smoke. While there was epigenetic evidence of Treg cells in all tissues analyzed, our analysis revealed no differences in Treg cell frequency relative to smoking or reflux in laryngeal tissue analyzed from 42 non-treatment seeking participants. We did, however, document a decrease in overall (CD3+) T cells and an increase in ImmunoCRIT values in smokers regardless of reflux status.

T cells are one component of the complex adaptive immune system that contribute to the detection and destruction of pathogens. The CD3 protein complex is a defining feature of the T cell lineage and it is present at all stages of T cell development. The major T cell population that protects the host from invading pathogenic bacteria is referred to as CD4+ T cells. There are many established subsets of effector CD4+ T cells including, among others, Th1, Th2, and Th17 cells, all of which express a variety of cell surface markers. Th1 cells are produced in response to antigens derived from intracellular bacteria and viruses, Th2 cells are generated in the presence of parasitic helminthes, and Th17 effector cells develop in response to extracellular bacteria and fungi. Treg cells act to regulate the function of those potentially destructive pro-inflammatory effector T cells, thereby suppressing any faulty activation of the immune system that could lead to damage of the body’s own tissues15. Treg cells are CD4+ and express constitutive CD25 (IL-2Rα) and the transcription factor FoxP3. FoxP3 plays an important role in the maintenance, survival, and suppressive function of Treg cells such that mice deficient in this transcription factor rapidly develop fatal autoimmune disease16. Treg cells secrete anti-inflammatory cytokines, including IL-10 and TGF-β and express the inhibitory co-stimulatory receptor cytotoxic T-lymphocyte 4 (CTLA-4) and they can be induced from naïve T effector cells in the periphery or arise naturally from the thymus. While CD25 is upregulated in naïve T cells following stimulation by antigens and subsequent differentiation into Treg cells, it is also expressed by CD8+ T cells17 and B cells18. FoxP3 is necessary to program cells for Treg function19. Treg cells commonly accumulate at sites of constant exposure to foreign antigens in locations where there is contact with the external environment (e.g., mucosal surfaces)5.

Both animal and human studies have revealed LALT, a type of mucosa-associated lymphoid tissue (MALT) specific to the larynx2024, particularly in the region of the laryngeal surface of the epiglottis and false vocal folds, suggesting an immunologic role for the larynx. Dendritic cells, T cells, and macrophages have been detected in histologic sections procured from human fetal laryngeal tissue25. In pig26, there is histologic evidence of CD3+ T cells distributed diffusely both within and beneath the epithelium, CD4+ and CD8+ T cells in the epithelium and subglottis, and scarce double-positive CD4+CD8+ effector T cells in the laryngeal mucosa.

In our study, smokers had reduced T cell frequencies compared to nonsmokers. Analysis of circulating T lymphocytes in peripheral blood mononuclear cells of patients with head and neck cancer and normal controls using flow cytometry revealed decreased T cells in patients with cancer even in patients with no evidence of disease27. The authors suggest that lymphocyte homeostasis fails to normalize following treatment; however, the majority of the patients included in the study were smokers or former smokers, therefore another potential interpretation is that continued smoking contributed to decreased T cells. Support for our finding of decreased overall T cells in smokers also comes from animal studies that demonstrate immunosuppression in animals exposed to nicotine28,29. In contrast to our study results, Rees et al.30 found increased CD4+ T cells in laryngeal tissue of smokers. The discrepancy in results may be related to multiple study design factors including different sample sizes of smokers and nonsmokers and experimental techniques. Though our sample sizes were smaller, we employed a precise, quantitative epigenetic assay as opposed to semiquantitative immunohistochemistry as demonstrated in Rees et al30.

In addition to decreased T cells in smokers, we also found increased ImmunoCRIT values, a measure of the equilibrium between Tregs and total T cells, in these individuals compared to nonsmokers. Mean ImmunoCRIT values of nonsmokers in this study fall within the range of median values for healthy tissue as established by Turbachova et al.6. These authors also demonstrated elevated ImmunoCRIT values in cancerous relative to benign tissues and suggested that a shift toward increased ImmunoCRIT is a prerequisite to tumor growth in all tissues regardless of total T cell counts6. Research linking peripheral blood ImmunoCRIT values and cancer development found that both smoking and sex influenced ImmunoCRIT7. In the context of these findings, our results suggest that cigarette smoke may play a role in modulating the immune system toward tolerance, thereby reducing an effector response and creating an environment for tumor cell proliferation.

Contrary to what we predicted, reflux was not associated with alterations in Treg or T cell frequencies, or associated ImmunoCRIT. Inflammatory reactions in the airway have been demonstrated to be induced by components of gastric reflux such as hydrochloric acid (HCl)31,32 and a previous study of tissue collected from patients with LPR demonstrated increased CD8+ (i.e., cytotoxic) T cell counts33; however, there is no evidence from our study that the potential inflammatory effects of reflux are mediated by Treg cells in local tissue. We therefore posit that the pathophysiology of laryngeal symptoms attributed to reflux disease such as hoarseness and throat clearing may not involve immunomodulation. Given their presence in laryngeal tissue, mechanistic studies of Treg cell function in the larynx warrant further investigation.

While we found evidence of laryngeal Treg cells in our study, we cannot know the function of these cells at the time that the biopsies were taken based on epigenetic analysis. For example, there is a subset of Treg cells that have been shown to display proinflammatory function in spite of exhibiting hallmark Treg characteristics34. Our interpretations of this study are also limited by confounding factors that are inherent to human clinical research. Elevated body mass index, for example, is associated with increased CD4+ T cells, particularly Tregs35. While medications targeting inflammation were included in the exclusionary criteria, we did not control for diagnoses of systemic inflammatory conditions or immunosuppression in our cohort, both of which may have skewed results.

Conclusion

An investigation of laryngeal tissue resulted in detecting both Treg cells and T cells with no differences relative to smoking and reflux in the frequency of Treg cells. However, the ratio of Treg cells to T cells, or ImmunoCRIT, in laryngeal tissues was significantly higher in smokers. Overall our findings suggest an imbalance between Treg cells and total T cells in the laryngeal tissue of smokers, irrespective of laryngeal inflammation.

Acknowledgments

Funding: NIDCD R01 DC009600, NIDCD T32 DC009401

This research was supported by funding from the National Institutes of Health/National Institute of Deafness and other Communication Disorders R01DC009600 and T32DC009401. The authors thank Drs. Seth Dailey, Charles Ford, and Timothy McCulloch for assistance with data collection, Dr. Nathan Welham for critical feedback on study design, and Dane County Youth Apprentice Program students April Barr and Sarah Wang for technical assistance.

Footnotes

This work was completed at the University of Wisconsin-Madison.

The authors report no financial or non-financial conflicts of interest.

This manuscript was presented at the Combined Otolaryngology Spring Meetings in Chicago, Illinois on May 19, 2016.

Level of Evidence: NA

Contributor Information

Marie E. Jetté, Department of Otolaryngology, School of Medicine, University of Colorado Denver, Anschutz Medical Campus, Aurora, CO, USA

Christine M. Seroogy, Department of Pediatrics, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA

Susan L. Thibeault, Division of Otolaryngology-Head and Neck Surgery, Department of Surgery, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA.

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