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ORIGINAL RESEARCH article

Front. Allergy, 24 November 2025

Sec. Environmental & Occupational Determinants

Volume 6 - 2025 | https://doi.org/10.3389/falgy.2025.1654600

Combined exposure to shrimp tropomyosin and microbial components triggers enhanced allergic and inflammatory responses in vitro

  • 1Department of Occupational Toxicology, National Institute of Occupational Health, Oslo, Norway
  • 2Faculty of Medicine, University of Oslo, Oslo, Norway
  • 3Department of Infection and Immunity, Luxembourg Institute of Health, Esch-sur-Alzette, Luxembourg
  • 4INVITROLIZE, Esch-sur-Alzette, Luxembourg
  • 5Faculty of Food Science and Technology, University of Agricultural Sciences and Veterinary Medicine of Cluj-Napoca, Cluj-Napoca, Romania

Introduction: Workers in the shellfish industry face increased risks of allergy and asthma due to complex bioaerosol exposures in the workplace. This study aimed to assess whether combined exposure to the main components of these aerosols, specifically allergens and microbial agents, can potentiate inflammatory and allergic responses.

Methods: THP-1 monocytes and advanced human alveolar co-cultures model ALIsens® were exposed to shrimp tropomyosin (0.0049, 1.3 and 2.6 µg/mL), and components from Gram-positive bacteria; lipoteichoic acid (0.25–4 µg/mL), and fungi; zymosan (6.25–100 µg/mL), either alone or in combination. The effects on the gene expression and protein secretion of chemokines and cytokines were assessed by RT-qPCR and ELISA or Luminex.

Results: Combined exposure to tropomyosin and lipoteichoic acid resulted in increased CCL20, CCL2, TNF and IL8 expression and CCL20 and TNF protein secretion in THP-1 cells, when compared to individual exposure. Similarly, tropomyosin combined with zymosan elicited a response pattern, characterised by increased expression and secretion of chemokines and cytokines in most of the tested combinations. Furthermore, the increased secretion of CCL20 and expression of CCL2 following combined exposure to tropomyosin and lipoteichoic acid were confirmed in the alveolar co-culture model, while no effects in combination with zymosan were observed.

Conclusion: These findings suggest that microbial components in shellfish industry bioaerosols may enhance the immunological responses caused by inhaled allergens in an additive manner, highlighting the need to minimise microbial contamination in workplaces where allergen exposure is prevalent.

1 Introduction

Global seafood production has grown steadily at an annual rate of 3.2%, reaching a record of over 185 million tonnes in 2022, and this sector now engages more than 61 million people worldwide (1). This growth is fuelled by the increasing awareness of the health benefits of consuming seafood (2, 3). Many seafood products require processing before consumption, typically involving butchering, washing, thawing, cooking, boiling, beheading, peeling, and grinding (4). These processing steps can aerosolise biological components into the air, creating complex mixtures of allergens, microorganisms, proteases, endotoxins and preservatives as a form of steam, vapour and dust (4, 5). As a result, there is growing concern over the health of processing workers, particularly regarding respiratory illnesses such as asthma and inhalant allergies. Indeed, occupational asthma is prevalent among seafood industry workers, reaching up to 36% in the shellfish industry (68). Clinical symptoms among shellfish-processing workers include a stuffy/runny nose and impaired lung function (9, 10). Importantly, shellfish-processing workers are exposed to a complex mix of bioaerosols containing allergenic proteins, microorganisms, endotoxins and other microbial ligands (912).

Among the allergenic proteins, tropomyosin is the major allergen in shrimp (1317). Characterisation of workplace bioaerosols in shrimp processing plants revealed high levels of tropomyosin, while microbiome analysis of the same work environment identified Gram-positive bacteria and yeast-like fungi as the predominant microbial species (10, 12). Inhalation of these complex bioaerosols has been linked to respiratory health effects, including allergic reactions (1820).

Upon inhalation, airborne allergens and microbial components interact with the respiratory epithelium, triggering a cascade of early immune events in the lungs. These interactions are initially detected by epithelial cells and resident macrophages, which coordinate the recruitment and activation of immune cells, including dendritic cells, eosinophils, and monocytes (21). Central to this process are T-helper type 2 (Th2) cells associated cytokines such as IL4, IL5, and IL13, which drive allergic inflammation and immunoglobulin E (IgE) production (21, 22). While exposure to allergens causes classical Th2 responses, the role of non-allergenic substances, such as microbial components, and their combined effects with allergens on respiratory health remains poorly understood. This is particularly relevant in occupational settings, such as shrimp processing, where workers are exposed to complex mixtures of allergenic proteins and microbial agents. Thus, the present study aimed to investigate the effects of combined exposure to the major shrimp allergen tropomyosin and representative microbial components from bacteria and fungi, focusing on key chemokines and cytokines involved in allergic and inflammatory responses including c-c motif chemokine ligand 20 (CCL20) and CCL2 (recruitment of monocytes and dendritic cells), as well as tumor necrosis factor (TNF) and interleukin 8 (IL8) (markers of acute inflammation). These biomarkers were selected to provide insight into early immune activation and pathways potentially relevant to allergic sensitisation in occupational bioaerosol exposure.

2 Materials and methods

2.1 Cell models and exposure

Human cell lines, monocytes THP-1, alveolar type II epithelial cells (A549), and endothelial cells (EA.hy926) were obtained from the American Type Culture Collection (Rockville, MD, USA). All cell lines were authenticated via DNA fingerprinting in 2024, and cells in culture were regularly screened for mycoplasma contamination.

Two cell model types were used, a monoculture of THP-1 cells and an alveolar co-culture, as illustrated in Figure 1.

Figure 1
Diagram showing two cell models. Panel A illustrates a monoculture of monocytes (THP-1) in a culture well. Panel B depicts an alveolar co-culture, featuring macrophage-like cells (THP-1 differentiated with PMA), epithelial cells (A549), endothelial cells (EA.hy926), and dendritic-like cells (dTHP-1) within a culture well.

Figure 1. Simplified illustration of the cell models used in the study. (A) THP-1 cells in monoculture. (B) Alveolar co-culture model ALIsens® comprised of macrophages [phorbol 12-myristate 134-acetate (PMA)-differentiated THP-1], A549 cells, EA.hy926 cells and dendritic-like THP-1 (dTHP-1) cells. Created in https://BioRender.com.

For submerged exposure, THP-1 cells were seeded at a density of 1 × 106 cells/mL in 6-well culture plates (Greiner Bio-One, Kremsmünster, Austria) and allowed to rest overnight. Following this resting period, the resuspended exposure materials were added directly to the cells. After a 24 h exposure, both the supernatant and cells were collected for downstream analysis.

The alveolar co-culture model ALIsens®, comprised of A549 cells, EA.hy926 cells, macrophage-like cells [phorbol 12-myristate 134-acetate (PMA)-differentiated THP-1], and non-differentiated THP-1 cells, hereafter referred to as dendritic-like THP-1 (dTHP-1) cells, was maintained under air-liquid interface (ALI) conditions as previously published (23). The ALI exposure mimics physiological breathing conditions by allowing the apical surface of airway epithelial cells to be directly exposed to airborne substances, enabling a more realistic assessment of cellular responses to inhaled particles, allergens, or microbial agents. All cells were maintained in their appropriate cell culture media at 37 °C and 5% CO2 (Supplementary Table S1).

In short, on day 0, THP-1 cells were plated at a density of 4 × 105 cells/mL and were differentiated to macrophage-like cells using 2 ng/mL PMA (Sigma Aldrich Corporation, Missouri, USA) for 48 h. PMA medium was replaced on day 2 with fresh medium, and the incubation continued for 4 days. On the same day, EA.hy926 cells were seeded at a density of 2.4 × 104 cells/cm2 on an inverted Transwell™ insert (4.5 cm² surface area; 5 μm pores; high-density PET membranes for 6-well plates, cellQART, Northeim, Germany). After 4 h, the inserts were inverted, and A549 (6 × 104 cells/cm²) were seeded on the apical side. The plate was incubated for 3 days. On day 5, the medium was changed to a co-culture medium containing 10% FBS. PMA-differentiated THP-1 cells (2.4 × 104 cells/cm²) and dTHP-1 (1 × 106 cells/mL) were resuspended with a co-culture medium containing 1% FBS separately and were added to the apical side of the insert and the bottom of the wells, respectively. After 4 h of incubation, the medium from the apical compartment was removed, and the co-culture was maintained at ALI conditions overnight. The following day, the co-culture was exposed at ALI using the Vitrocell® Cloud Alpha MAX 6 well system (Vitrocell®, Waldkirch, Germany), and the cells were collected 24 h post-exposure for downstream analysis.

2.2 Model exposure agents and selection of doses

Shrimp tropomyosin protein (Pen m1) was expressed in E coli M15 and purified by column chromatography as reported earlier (24). The activity of the protein has been previously assessed by in vitro and ex vivo experiments (24, 25). For the remainder of the text, Pen m1 will be referred to as TM. Microbial components, lipoteichoic acid (LTA) purified from a Gram-positive bacterium, Staphylococcus aureus and zymosan (ZYM) from yeast-like fungi, Saccharomyces cerevisiae, were purchased from InvivoGen (San Diego, USA). All exposure agents were diluted in sterile water. For ALI exposure, the stock solutions were further diluted with 50% (v/v) sterile water in PBS (1X).

Concentrations of TM used for in vitro exposure were derived from measured workplace levels and typical employment durations in Norwegian shrimp processing plants. Specifically, the median (0.3 µg/m3) and maximum (7.07 µg/m3) airborne tropomyosin measured in two Norwegian shrimp processing plants and the respective average (3.3 years) and maximum (38 years) years of employment (emp.) previously reported for these workers (10) were used to represent the median and the worst-case scenarios. Assuming a total breathing volume of 3 m3 over an 8 h shift and considering an adult lung surface area of 140 m2, the corresponding TM concentrations were selected by adopting and modifying the lung deposition formula described by (51), This approach reflects a cumulative exposure effect integrating both exposure intensity and duration to approximate the total inhaled and deposited burden of tropomyosin that may occur over a working life time. While these parameters represent simplified assumptions that may not fully capture individual physiological variability or workplace conditions, they provide a standardised, conservative basis for estimating biologically and occupationally relevant in vitro concentrations.

DailyExposureDose(μgcm2)=TMConc.(μgcm3)×Breathingvolume(3m3)/Lungsurfacearea(140m2)
Exposuredoseoveremp.period(μgcm2)=DailyExposureDose(μgcm2)×5(daysweek)×48weeksyear×emp.(yrs)

The selected concentrations of TM were (0.0049, 1.3 and 2.6 µg/mL) for THP-1 cells and equivalent concentrations of the first two concentrations for the co-culture alveolar model (0.00051 and 0.138 µg/cm2). Detailed TM dose calculations are provided in Supplementary Table S2. In addition, five concentrations of LTA (0.25, 0.5, 1, 2 and 4 µg/mL) for THP-1 cells and one dose for the co-culture (0.53 µg/cm2, corresponding to approximately 4 µg/mL), as well as five doses of ZYM (6.25, 12.5, 25, 50 and 100 µg/mL) and one dose for the co-culture (11.1 µg/cm2, corresponding to approximately 100 µg/mL) were selected based on previous in vitro studies (26, 27). Concentration details are provided in Table 1. Cells were exposed to TM alone or in combination with LTA or ZYM. All exposures were performed at subtoxic concentrations (Supplementary Figures S1,S2,S11), as assessed by the alamarBlue™ cell viability kit, according to the manufacturer's recommendations (ThermoFisher Scientific, Waltham, MA, USA). Concentrations resulting in viability levels below 85% were considered cytotoxic and not included in further analysis.

Table 1
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Table 1. Exposure concentrations used in the study.

2.3 Analysis of secreted proteins

The secretion of pro-inflammatory markers CCL20 and TNF was measured in the cell culture media 24 h post-exposure. Quantification was performed using human CCL20/MIP-3α and human TNFα enzyme-linked immunosorbent assay (ELISA) kits (R&D Systems, Minneapolis, MN, USA) according to the manufacturer's protocol. All samples were run in parallel, and absorbance was read at 450 nm using BioTek Synergy Neo2 Hybrid Multimode Reader (Agilent Technologies).

Cytokines and chemokines released from the alveolar co-culture model were measured using a custom multiplex human Luminex discovery assay (R&D Systems). The multiplex assay included CCL2, CCL20, colony-stimulating factor 2 (CSF2), surfactant protein D (SFTPD), and chitinase 3-like 1 (CHI3L1), with a sensitivity ranging from 3.3 to 38.1 pg/mL for the different cytokines and chemokines. Samples were analysed in parallel using the xMAP INTELLIFLEX instrument (R&D Systems).

2.4 Gene expression

Total RNA was isolated from both the THP-1 cells and the alveolar co-culture model using the total RNA purification kit (Norgen Biotek Corp., Ontario, Canada), according to the manufacturer's instructions. For the alveolar co-culture model, RNA was collectively extracted from all the cell types present on the culture insert, comprising A549, EA. hy926 and PMA-differentiated THP-1 cells. In addition, RNA was extracted separately from the dTHP-1 cells present in the basolateral compartment. Concentrations and purity of RNA were quantified using a Nanodrop 2000 spectrophotometer (ThermoFisher Scientific) and Qubit 4 Fluorometer Invitrogen (ThermoFisher Scientific).

RNA isolated from THP-1 cells was reverse transcribed using a qScript cDNA synthesis kit (Quanta BioSciences, Beverly, MA, USA), following the manufacturer's instructions. Expression analysis of CCL20, CCL2, interleukin 1 receptor-like 1 (IL1RL1), CHI3L1, TNF and IL8 was performed by SYBR Green technology on the QuantStudio 5 Real-Time PCR System (Applied Biosystems, ThermoFisher Scientific), using predesigned KiCqStart™ Primers (Sigma Aldrich). The primer ID and sequences are provided in Supplementary Table S3.

Gene expression analysis on co-culture samples was performed using RT2 First Strand cDNA Kit and a custom asthma and allergy RT2 Profiler PCR Array (Qiagen, Hilden, Germany) on the QuantStudio 5 Real-Time PCR System (ThermoFisher Scientific). The custom array contained 24 genes: ADRB2, CCL11, CCL17, CCL2, CCL20, CCL26, CHI3L1, CRLF2, CSF1, CSF2, IL13, IL1RL1, IL25, IL33, IL4, IL5, MRC1, MS4A2, POSTN, PTGDR2, STAT6, TNFRSF4, TNFSF4 and TSLP. Full gene names can be found in Supplementary Table S4.

The gene expression was calculated by the ΔΔCt method. For normalisation, five housekeeping genes: beta-2-microglobulin (B2M), hypoxanthine phosphoribosyl transferase 1 (HPRT1), TATA-box binding protein (TBP), hydroxymethylbilane synthase (HMBS), and transferrin receptor (TFRC), were included in the analyses. The gene expression data were normalised to the geometric mean of the most stable housekeeping genes, which were B2M and HPRT1 for the monocultures, and TBP, HMBS, HPRT1, and TFRC for the co-culture samples. All housekeeping genes selected for normalisation had intra-assay variability below 0.2 CT. Further comparisons between individual and combined exposure were performed on the fold change values against the vehicle control values.

2.5 Flow cytometry

Co-culture model performance and reproducibility were assessed using flow cytometry (Supplementary Figure S3), consistent with approaches previously reported in conference proceedings (28). Co-culture was treated with positive control, a mix of recombinant thymic stromal lymphopoietin protein (TSLP) (1.11 ng/cm2) and lipopolysaccharide (LPS) (550 ng/cm2) (Sigma Aldrich), or negative controls (incubator control and vehicle control). dTHP-1 cells were harvested from the basolateral compartment of the wells and then stained with fluorescence-labelled monoclonal antibodies, along with isotype-matched controls (mouse IgG1). The following antibodies were used: BB515 anti-CD54 (clone HA58) and APC anti-TSLPR (clone 1F11), purchased from BD Biosciences (Heidelberg, Germany). Surface marker expression was assessed using CytoFLEX (Beckman Coulter Life Sciences, Indianapolis, IN, USA) and analysed with CytExpert software. Cells that stained positive with fixable viability stain 510 (Heidelberg, Germany) (indicating dead cells) were excluded from the analysis. Results were shown as percentage positive cells as determined by gating against the unstained and isotype controls.

2.6 Statistical analysis

Statistical analysis was conducted using GraphPad Prism version 10 or R version 4.4.1. All data were log-transformed, and group comparisons were made using a one-way ANOVA followed by Sidak's multiple comparisons test. Bliss independence analysis was applied to evaluate additive and synergistic interactions based on the assumption of independent mechanisms of action. Deviations of the observed combination effect from the expected additive effect were quantified. While percentage differences greater than 30% were noted as potentially indicative of synergy, only statistically significant deviations (p < 0.05) were interpreted as evidence of true synergy. Data transformation and the type of analysis used are specified in the figure legends of each result. Raw data and p-values from all the analyses are available in Supplementary Data 2.

3 Results

3.1 Dose-dependent effects of LTA, ZYM and TM on allergic and inflammatory biomarkers

Individual exposures to TM, LTA, and ZYM resulted in a dose-dependent increase in the secretion of CCL20 and TNF (Figure 2). Based on this result, concentrations of LTA and ZYM were selected for further analysis.

Figure 2
Bar graphs labeled A to F show the secretion levels of CCL20 and TNF in picograms per milliliter. Graphs A, B, and C measure CCL20 secretion under conditions TM, LTA, and ZYM, respectively, with various concentrations. Graphs D, E, and F measure TNF secretion under the same conditions. Each graph includes a legend specifying the concentration values. Error bars denote data variability.

Figure 2. Release of inflammatory markers. THP-1 cells were exposed to three different concentrations of shrimp tropomyosin (TM) and five concentrations of lipoteichoic acid (LTA), zymosan (ZYM) for 24 h and assessed for release of CCL20 (A–C) and TNF (D–F). The bars represent the mean ± SEM, n = 2–5. VC indicates vehicle control.

Individual exposure of THP-1 cells to the selected LTA concentrations (0.25, 0.5, 1.0, 2.0, and 4.0 µg/mL) resulted in a dose-dependent increase in the expression of CCL20, CCL2, TNF and IL8 that reached up to a 341-fold increase relative to the vehicle control (Supplementary Data 2). Similarly, individual exposure to the five ZYM concentrations (6.25, 12.5, 25, 50, and 100 µg/mL) resulted in a dose-dependent increase in the first four ZYM concentrations for CCL20 and CCL2 (Supplementary Data 2). Other markers showed low expression or inconsistent data (Supplementary Data 2).

In the alveolar co-culture model, individual exposure to LTA (0.53 µg/cm2) resulted in an 18 and 15-fold increase in CCL20 and CCL2, respectively, relative to the vehicle control (Supplementary Data 2). ZYM exposure also resulted in a >2-fold increase in these markers relative to the vehicle control (Supplementary Data 2).

3.2 LTA in combination with TM increases allergic and inflammatory signalling in THP-1 cells

Since combined exposure to LTA with the lowest TM concentration (0.0049 µg/mL) did not increase CCL20 or TNF secretion, nor significantly affect most other markers’ expression, the effects observed at higher TM concentrations (1.3 and 2.6 µg/mL) with LTA will be discussed in more detail.

Combined exposure of LTA and TM (1.3 and 2.6 µg/mL) resulted in an increased secretion of CCL20 and TNF already at the lowest LTA concentration tested (0.25 µg/mL) (Figures 3A,B). This effect was consistent at the higher concentrations tested (Supplementary Figures S4A,B). For TNF, the combined exposure resulted in a significant additive effect at almost all combinations, except for TM (2.6 µg/mL) and LTA (4 µg/mL), whereas for CCL20, an additive effect was observed only at LTA concentrations of 0.25 and 4 µg/mL (Supplementary Figures S4A,B).

Figure 3
Bar graphs labeled A and B show the secretion levels of CCL20 and TNF, respectively, in picograms per milliliter. Both graphs compare different treatment conditions with varying concentrations of TM (tropomyosin) and LTA (lipoteichoic acid) alone and in combination. Significant increases in secretion levels are marked with symbols.

Figure 3. Effects of combined exposure on the secretion of proinflammatory markers in THP-1 cells following 24 h of exposure to shrimp tropomyosin (TM) and lipoteichoic acid (LTA). (A) CCL20 and (B) TNF. The bars represent the mean ± SEM, n = 3. One-way ANOVA with Sidak's multiple comparison test was performed on log-transformed data. Significant differences between LTA and combined exposure are indicated by *, TM and combined exposure indicated by #, ** or ## p < 0.005 and ### p < 0.001.

The effects of the combined exposure of the lowest LTA concentration with TM (1.3 and 2.6 µg/mL) on chemokine and cytokine expression were less consistent (Figure 4). Thus, while trends towards increased expression were observed mainly for CCL20, CCL2 and IL8 already at the lowest LTA concentration, only CCL2 was consistently upregulated at both TM concentrations (Figures 4A–C). For CCL2, combined exposure resulted in the highest induction in expression at 1.0 µg/mL LTA, where it exceeded the additive effect by over 30% suggesting possible synergistic interactions (Supplementary Figure S5A). For CCL20 and IL8, a trend of increased expression following combined exposure was observed for most concentrations tested, with additive effects noted for CCL20 and IL8 in cells exposed to LTA in combination with 2.6 µg/mL TM (Supplementary Figures S5B–S6A). For IL1RL1, enhanced expression was observed only at LTA concentrations >2.0 µg/mL (Supplementary Figure S6B). The effect of combined exposure on TNF and CHI3L1 expression was complex, as low concentrations of both LTA and TM, in combination, generally resulted in increased expression of the markers. However, both LTA and TM at high concentrations surprisingly led to a reduction in the expression of these genes (Supplementary Figure S7).

Figure 4
Bar graphs labeled A to F display changes in gene expression levels (fold change) for CCL20, CCL2, IL8, IL1RL1, TNF, and CHI3L1. Various concentrations of TM and LTA are shown along the x-axis. Each graph illustrates differing levels of expression under different treatment conditions, with noticeable increases and significance denoted by asterisks and hash marks.

Figure 4. Effects of combined exposure on the expressions of proinflammatory markers in THP-1 cells following 24 h of exposure to shrimp tropomyosin (TM) and lipoteichoic acid (LTA). (A) CCL20, (B) CCL2, (C) IL8, (D) IL1RL1, (E) TNF and (F) CHI3L1. The bars represent the mean ± SEM, n = 3. One-way ANOVA with Sidak's multiple comparison test was performed on log-transformed data. Significant differences between LTA and combined exposure are indicated by *, TM and combined exposure indicated by #, * or # p < 0.05, ** or ## p < 0.005 and *** p < 0.001.

3.3 ZYM in combination with TM enhances allergic and inflammatory signalling in THP-1 cells

The combined exposure of ZYM with TM resulted in enhanced secretion of both CCL20 and TNF compared to ZYM and TM alone, already at the lowest ZYM concentration tested (Figure 5). Increased TNF secretion was consistently observed for almost all combinations, while for CCL20, the effect was most prominent at the lower concentrations of ZYM (6.25–25 µg/mL), primarily in combination with TM (1.3 and 2.6 µg/mL) (Supplementary Figure S8).

Figure 5
Two bar graphs showing secretion levels of CCL20 (panel A) and TNF (panel B) in picograms per milliliter. Both graphs compare multiple sample conditions, with variations in TM (0.0049, 1.3, 2.6 micrograms per milliliter) and ZYM (6.25 micrograms per milliliter) concentrations. Statistical significance is indicated by asterisks and hashtags, with combined exposures noted in dark bars.

Figure 5. Effects of combined exposure on the secretion of proinflammatory markers in THP-1 cells following 24 h of exposure to shrimp tropomyosin (TM) and zymosan (ZYM). (A) CCL20 and (B) TNF. The bars represent the mean ± SEM, n = 3. One-way ANOVA with Sidak's multiple comparison test was performed on log-transformed data. Significant differences between ZYM and combined exposure are indicated by *, TM and combined exposure indicated by #, * p < 0.05, ## p < 0.005 and *** or ### p < 0.001.

The combined exposure of TM (1.3 and or 2.6 µg/mL) with ZYM resulted in increased expression of CCL20, CCL2, IL8 and TNF genes, already at the lowest tested concentration (6.25 µg/mL) (Figure 6). Furthermore, the combination of TM (1.3 and 2.6 µg/mL) with ZYM resulted in a significant or near-significant increase in the expression of CCL20 for all ZYM concentrations tested. Notably, the effects were large and additive (>30%) in combinations with the highest ZYM concentration (100 µg/mL), indicating possible synergistic effects (Supplementary Figure S9A). Similarly, an overall trend to increased TNF expression was also observed; however, this did not reach significance for most combinations (Supplementary Figure S9B). The combined exposure of the highest concentration of TM with ZYM also resulted in increased or additive effects on the CCL2 expression for all ZYM concentrations (Supplementary Figure S10A). Whereas, for IL8, the expression was increased following combined exposure, especially at the lowest concentrations of ZYM (6.25 and 12.5 µg/mL) combined with all TM concentrations tested (Supplementary Figure S10B). Finally, only minor effects on IL1RL1 and CHI3L1 expression were observed, and since the overall changes in expression remained below a 2-fold increase compared to the vehicle control, these effects were not considered biologically significant (Supplementary Figure S11).

Figure 6
Bar graphs labeled A to D compare fold changes in gene expression for CCL20, CCL2, IL8, and TNF under various concentrations of TM and ZYM. Each graph shows different degrees of gene expression as indicated by bars and annotated with symbols for statistical significance. The x-axes list treatments with TM and ZYM concentrations, while the y-axes indicate fold change.

Figure 6. Effects of combined exposure on the expressions of proinflammatory markers in THP-1 cells following 24 h of exposure to shrimp tropomyosin (TM) and zymosan (ZYM). (A) CCL20, (B) CCL2, (C) IL8 and (D) TNF. The bars represent the mean ± SEM, n = 3. One-way ANOVA with Sidak's multiple comparison test was performed on log-transformed data. Significant differences between ZYM and combined exposure are indicated by *, TM and combined exposure indicated by #, # p < 0.05, ** or ## p < 0.005 and *** p < 0.001.

3.4 Assessment of combined effects in a human alveolar co-culture model

The effects of selected subtoxic combinations of TM with LTA or ZYM (Supplementary Figure S12) were assessed in an alveolar co-culture model previously established to evaluate inflammatory and allergic responses. In this model, combined exposure to TM (0.138 µg/cm2) and LTA (0.53 µg/cm2) resulted in increased secretion of CCL20 compared to individual exposures (Figure 7A). Similarly, combined exposure of TM (0.0051 and 0.138 µg/cm2) with LTA (0.53 µg/cm2) resulted in enhanced CCL2 secretion compared to the individual exposure of LTA or TM (Figure 7B). The combined exposure of TM and LTA showed differential effects on CSF2 and SFTPD secretion, being significant compared to LTA alone (Figure 7C) and to TM alone (Figures 7D). Moreover, the combination of TM and ZYM did not result in any changes in the secretion of the proteins analysed. Similarly, no effects were observed for the combined exposures on the expression of other genes involved in inflammation, allergy, and asthma (Supplementary Figure S13).

Figure 7
Bar graphs labeled A to D show the effect of different treatments (TM, LTA, ZYM) on the secretion of CCL20, CCL2, CSF2, and SFTPD in picograms per milliliter. Various treatment combinations are compared and significant differences between treatment groups are marked with asterisks.

Figure 7. Secretion of markers related to inflammation, allergy and asthma from an alveolar co-culture model. (A) CCL20, (B) CCL2, (C) CSF2, and (D) SFTPD release were assessed after 24 h exposure to shrimp tropomyosin (TM), lipoteichoic acid (LTA), or zymosan (ZYM) alone and TM in combination with LTA or ZYM. The bars represent the mean ± SEM, n = 3. One-way ANOVA with Sidak's multiple comparison test was performed on log-transformed data. Significant differences compared to individual exposures are indicated by * p < 0.05, ** p < 0.001, and *** p < 0.0001.

4 Discussion

Occupational exposure to complex bioaerosols is associated with an increased risk of allergy and chronic pulmonary effects, including occupational asthma and rhinitis (7, 20, 29). However, the combined immunological effects of allergens and microbial components remain poorly understood. Workers in the shrimp processing industry are exposed to relatively low levels of protein, and endotoxin levels well below the occupational exposure limits (OEL) (30). However, chronic or repeated exposure to allergenic proteins and microbial components may increase chronic inflammatory responses and sensitisation (7, 29). Cumulative exposure metrics are well-established in occupational research and particularly relevant for bioaerosol exposures, reflecting the biologically effective dose associated with repeated inhalation of bioaerosols over years (3133). This study demonstrated that combined exposure to shrimp TM at doses relevant for work-related chronic exposure and the microbial components LTA or ZYM resulted in increased secretion of chemokines and pro-inflammatory markers, specifically CCL20 and TNF. Furthermore, it enhanced the expression of biomarkers related to allergic and inflammatory processes, including CCL20, CCL2, IL1RL1, TNF, and IL8.

The increased secretion of CCL20 and enhanced expression of CCL20 and CCL2 chemokines in THP-1 cells following combined exposure suggest that the exposure may trigger an inflammatory response involving the recruitment of monocytes, dendritic cells and Th17 cells. While these chemokines are not specific markers of allergic Th2 cell-driven allergenic inflammation, they play a crucial role in both the development of airway inflammation and the late stages of allergic responses (21). Enhanced levels following combined exposure may have implications on the progression and severity of occupational airway diseases and asthma. Clinical studies have also shown that elevated IL8 levels are associated with more severe asthma phenotypes and contribute to systemic inflammation (34, 35). Thus, while these findings cannot be directly related to the present in vitro data, they highlight the potential importance of IL8 in the progression of airway disease. Furthermore, the observed pronounced upregulation of CCL20 expression and secretion may indicate the involvement of Th17-type responses, which are typical in host defence against bacteria and fungi and are relevant in occupational asthma linked to microbial exposure (36). Th17 responses are typically dominated by IL17, IL22, and CSF2 cytokines and are associated with CCL20 and TNF responses, which lead to recruitment of Th17 cells and amplification of inflammation (36, 37). As such, the enhanced TNF secretion and expression observed in THP-1 cells following combined exposure may further suggest potentiation of immune responses, which is essential in the development of chronic airway inflammation. Similarly, combined exposure to house dust mite (HDM) allergen Der p 2 and lipopolysaccharide (LPS) led to enhanced TNF and IL8 release from human whole blood cells, suggesting that contamination of allergens may be important in the progression of allergic inflammatory responses (3840).

Moreover, Uzunoglu (41) reported that peptidoglycan, a cell wall component of Gram-positive bacteria, can trigger bioaerosol-induced inflammation via the secretion of TNF and CSF2, along with the recruitment of mast cells into the alveolar compartment (41). In line with this, it is becoming increasingly evident that the matrix of inhaled allergens is important in determining their sensitisation potential, and extrinsic compounds such as viruses and airborne contaminants may have immunomodulating effects (42). For pollen, LPS has been acknowledged as an important modulator of allergic sensitisation (43, 44). Similarly, Gram-positive bacteria have been shown to affect the maturation of dendritic cells derived from donors allergic to grass pollen (45).

Although combined exposure generally resulted in enhanced expression of most of the assessed markers, TNF and CHI3L1 expression were surprisingly reduced at higher concentrations of the TM and LTA combination. Importantly, these changes were not accompanied by alterations in cell viability. The mechanisms underlying this observation remain unclear and require further investigation. A potential explanation is receptor or signalling desensitisation, whereby saturation or internalisation of receptors or downstream signalling components leads to diminished transcriptional activation (46, 47). Another possibility is the induction of endogenous negative regulators of inflammation, such as suppressor of cytokine signalling proteins or anti-inflammatory cytokines (e.g., IL10), which are known in many systems to feedback and suppress pro-inflammatory cytokine production (48). These possibilities highlight the complexity of immune responses to combined exposures and underscore the need for further studies to better understand the specific molecular pathways involved.

Finally, IL1LR1, which plays a central role in allergic inflammation and asthma as a key receptor for IL33, was upregulated following combined exposure to TM and microbial components. IL33 is an alarmin which is involved in the activation of immune cells important in Th2 responses and allergic inflammation, and the IL33/IL1LR1 axis is critical in susceptibility to asthma (49). Thus, the increased expression of IL1RL1 observed following combined exposure to TM, especially the bacterial component LTA, further illustrates that the complexity of bioaerosols may affect pulmonary inflammatory responses and contribute to the exacerbation of respiratory symptoms.

While these results suggest that microbial bioaerosol contaminants may contribute to or modulate airway responses to allergens, the limitations of the THP-1 monoculture model should be taken into consideration when interpreting the findings. To address this, the human alveolar co-culture model ALIsens®, commonly used to assess the effects of sensitising and irritating chemicals on allergic sensitisation and inflammation, was additionally utilised (23). In this physiologically relevant in vitro model, the additive effects on the secretion of CCL20 and CCL2 were confirmed for combined exposure of TM and LTA. The increased secretion of these markers was observed at very low TM concentrations. While many other markers relevant for allergic responses and Th2 responses were included and assessed on both the alveolar co-culture model and THP-1 cells, no significant effects were observed following combined exposure, illustrating that CCL20 and CCL2 may be promising candidates for in vitro biomarkers to assess allergic and inflammatory responses to bioaerosols. Furthermore, elevated plasma levels of CCL20 have been demonstrated among Norwegian shrimp-processing workers, with a correlation between measured CCL20 plasma levels and levels of total protein exposure (10). Altogether, this provides evidence for the potential suitability of CCL20 as a biomarker of effect in occupational settings with allergen-containing exposures. Unfortunately, CCL2 was not analysed in the study by Zegeye et al., and thus the potential importance of CCL2 as a biomarker of effect for occupational exposure needs to be further validated.

Surprisingly, the effects of combined exposure with ZYM could not be confirmed in the alveolar co-culture model. While the ZYM and TM combination generally resulted in milder effects than LTA and TM co-exposure, this divergence is unlikely due to technical limitations, as both positive and negative controls performed as expected. Instead, it may reflect biological differences between the two models: cell interactions in the co-culture may attenuate responses that are otherwise amplified in THP-1 cells alone. At the same time, in vitro models do not allow for the potentiation of effects by the recruitment of additional inflammatory cells, as expected in vivo. Thus, while in vitro models cannot fully replicate the complexity of human responses or account for long-term exposure effects, a potential immunomodulating effect of fungal components on allergic responses to complex bioaerosols cannot be ruled out. Interestingly, enhanced inflammatory responses under combined exposure of fungal spores from Avicularia versicolor and HDM allergen have been shown in a murine model of asthma, which demonstrated a markedly increased asthma phenotype in exposed animals, characterised by increased airway hyperresponsiveness, eosinophilic and neutrophilic inflammation, and extensive lung tissue pathology, compared to individual exposures to either fungi or HDM alone (50). This implies that fungal contamination may be of importance in the assessment of health effects related to the inhalation of allergen-containing bioaerosols, further illustrating the need for more research in this field.

4.1 Conclusion

The findings of this study suggest that combined exposure to airborne allergens and microbial components may exacerbate airway inflammation and allergic responses even at low concentrations. The complexity of immune responses to multiple stimuli was illustrated specifically by CCL20 responses, which showed additive or even potentially synergistic effects following combined exposure.

Altogether, our findings suggest that individuals with simultaneous exposure to allergens and bacterial or fungal components may be at risk of experiencing more severe inflammatory responses, which could potentially exacerbate asthma symptoms. However, while cumulative dosing is commonly used in occupational research and the utilised doses were based on highly relevant median and worst-case occupational exposure scenarios among Norwegian shrimp processing workers, the models and exposure metrics used cannot fully capture the complexity and dynamics of chronic inflammatory responses. This highlights the need for additional research in the field and consideration of targeted interventions that account for the complexity of bioaerosols when managing allergic airway diseases in environments prone to allergens.

Data availability statement

The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author/s.

Ethics statement

Ethical approval was not required in accordance with institutional and national guidelines, as the study involved only established commercially available human cell lines.

Author contributions

FZ: Methodology, Writing – original draft, Formal analysis, Investigation, Visualization, Resources, Data curation, Conceptualization, Writing – review & editing. SM: Writing – review & editing, Conceptualization, Funding acquisition. MA-H: Writing – review & editing, Methodology, Investigation. AK: Writing – review & editing, Resources. SB: Writing – review & editing, Methodology. AS: Conceptualization, Writing – review & editing, Supervision, Funding acquisition. JE: Supervision, Project administration, Conceptualization, Writing – review & editing, Funding acquisition.

Funding

The author(s) declare financial support was received for the research and/or publication of this article. This study was funded by the National Institute of Occupational Health (STAMI) under grant number 21/00139 and the Research Fund for Asthma and Allergy by the Norwegian Asthma and Allergy Association (2022).

Acknowledgments

We thank Linn Olsen (National Institute of Occupational Health, Oslo, Norway) for her assistance in the laboratory work.

Conflict of interest

SB is an employee of Invitrolize Sarl, which commercialises the ALIsens® model used in this study. The company had no role in the study design, data collection, analysis, interpretation, or the decision to publish the results.

The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.

Generative AI statement

The author(s) declare that no Generative AI was used in the creation of this manuscript.

Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.

Publisher's note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/falgy.2025.1654600/full#supplementary-material

References

1. Food and Agriculture Organization of the United Nations. The State of World Fisheries and Aquaculture. Blue Transformation in Action. Rome: FAO (2024). doi: 10.4060/cd0683en

Crossref Full Text | Google Scholar

2. Hosomi R, Yoshida M, Fukunaga K. Seafood consumption and components for health. Glob J Health Sci. (2012) 4(3):72–86. doi: 10.5539/gjhs.v4n3p72

PubMed Abstract | Crossref Full Text | Google Scholar

3. Lund EK. Health benefits of seafood; is it just the fatty acids? Food Chem. (2013) 140(3):413–20. doi: 10.1016/j.foodchem.2013.01.034

PubMed Abstract | Crossref Full Text | Google Scholar

4. Jeebhay MF, Moscato G, Bang BE, Folletti I, Lipińska-Ojrzanowska A, Lopata AL, et al. Food processing and occupational respiratory allergy- an EAACI position paper. Allergy. (2019) 74(10):1852–71. doi: 10.1111/all.13807

PubMed Abstract | Crossref Full Text | Google Scholar

5. Dong X, Raghavan V. Recent advances of selected novel processing techniques on shrimp allergenicity: a review. Trends Food Sci Technol. (2022) 124:334–44. doi: 10.1016/j.tifs.2022.04.024

Crossref Full Text | Google Scholar

6. Fagernæs CF, Lauritzen HB, Tøndell A, Hassel E, Bang BE, Tjalvin G, et al. Occupational asthma in the Salmon processing industry: a case series. Occup Environ Med. (2024) 81(8):400–6. doi: 10.1136/oemed-2024-109564

PubMed Abstract | Crossref Full Text | Google Scholar

7. Jeebhay MF, Cartier A. Seafood workers and respiratory disease: an update. Curr Opin Allergy Clin Immunol. (2010) 10(2):104–13. doi: 10.1097/ACI.0b013e3283373bd0

PubMed Abstract | Crossref Full Text | Google Scholar

8. Mason HJ, Carder M, Money A, Evans G, Seed M, Agius R, et al. Occupational asthma and its causation in the UK seafood processing industry. Ann Work Expo Health. (2020) 64(8):817–25. doi: 10.1093/annweh/wxaa055

PubMed Abstract | Crossref Full Text | Google Scholar

9. Bang B, Aasmoe L, Aamodt BH, Aardal L, Andorsen GS, Bolle R, et al. Exposure and airway effects of seafood industry workers in northern Norway. J Occup Environ Med. (2005) 47(5):482–92. doi: 10.1097/01.jom.0000161732.96555.2b

PubMed Abstract | Crossref Full Text | Google Scholar

10. Zegeye FD, Graff P, Grgic M, Mollerup S, Afanou AK, Bang BE, et al. Respiratory symptoms, sensitisation and occupational exposure in the shrimp processing industry. Front Allergy. (2025a) 6:1520576. doi: 10.3389/falgy.2025.1520576

PubMed Abstract | Crossref Full Text | Google Scholar

11. Thomassen MR, Kamath SD, Lopata AL, Madsen AM, Eduard W, Bang BE, et al. Occupational exposure to bioaerosols in Norwegian crab processing plants. Ann Occup Hyg. (2016) 60(7):781–94. doi: 10.1093/annhyg/mew030

PubMed Abstract | Crossref Full Text | Google Scholar

12. Zegeye FD, Straumfors A, Lei P, Graff P, Samulin Erdem J, Afanou AK. Microbial exposure and diversity in Norwegian shrimp processing plants. J Occup Environ Hyg. (2025b) 22(9):1–14. doi: 10.1080/15459624.2025.2491488

Crossref Full Text | Google Scholar

13. Abdel Rahman AM, Kamath SD, Gagné S, Lopata AL, Helleur R. Comprehensive proteomics approach in characterizing and quantifying allergenic proteins from northern shrimp: toward better occupational asthma prevention. J Proteome Res. (2013) 12(2):647–56. doi: 10.1021/pr300755p

PubMed Abstract | Crossref Full Text | Google Scholar

14. Dramburg S, Hilger C, Santos AF, de Las Vecillas L, Aalberse RC, Acevedo N, et al. EAACI Molecular allergology user’s guide 2.0. Pediatr Allergy Immunol. (2023) 34(Suppl 28):e13854. doi: 10.1111/pai.13854

PubMed Abstract | Crossref Full Text | Google Scholar

15. Faber MA, Pascal M, El Kharbouchi O, Sabato V, Hagendorens MM, Decuyper II, et al. Shellfish allergens: tropomyosin and beyond. Allergy. (2017) 72(6):842–8. doi: 10.1111/all.13115

PubMed Abstract | Crossref Full Text | Google Scholar

16. Lehrer SB, Ayuso R, Reese G. Seafood allergy and allergens: a review. Mar Biotechnol (NY). (2003) 5(4):339–48. doi: 10.1007/s10126-002-0082-1

PubMed Abstract | Crossref Full Text | Google Scholar

17. Lopata AL, Jeebhay MF. Airborne seafood allergens as a cause of occupational allergy and asthma. Curr Allergy Asthma Rep. (2013) 13(3):288–97. doi: 10.1007/s11882-013-0347-y

PubMed Abstract | Crossref Full Text | Google Scholar

18. Jeebhay MF. Occupational allergy and asthma in the seafood industry–emerging issues. Occupational Health Southern Africa. (2011) 17(6):4–13.

Google Scholar

19. Jeebhay MF, Robins TG, Lopata AL. World at work: fish processing workers. Occup Environ Med. (2004) 61(5):471–4. doi: 10.1136/oem.2002.001099

Crossref Full Text | Google Scholar

20. Laustsen BH, Omland Ø, Würtz ET, Sigsgaard T, Ebbehøj NE, Carstensen O, et al. Rhino conjunctivitis and asthma among seafood processing workers in Greenland. A cross-sectional study. Front Allergy. (2021) 2:747011. doi: 10.3389/falgy.2021.747011

PubMed Abstract | Crossref Full Text | Google Scholar

21. Bao Y, Zhu X. Role of chemokines and inflammatory cells in respiratory allergy. J Asthma Allergy. (2022) 15:1805–22. doi: 10.2147/jaa.S395490

PubMed Abstract | Crossref Full Text | Google Scholar

22. Borish LC, Steinke JW. 2. Cytokines and chemokines. J Allergy Clin Immunol. (2003) 111(2 Suppl):S460–475. doi: 10.1067/mai.2003.108

PubMed Abstract | Crossref Full Text | Google Scholar

23. Chary A, Serchi T, Moschini E, Hennen J, Cambier S, Ezendam J, et al. An in vitro coculture system for the detection of sensitization following aerosol exposure. Altex. (2019) 36(3):403–18. doi: 10.14573/altex.1901241

PubMed Abstract | Crossref Full Text | Google Scholar

24. Klueber J, Costa J, Randow S, Codreanu-Morel F, Verhoeckx K, Bindslev-Jensen C, et al. Homologous tropomyosins from vertebrate and invertebrate: recombinant calibrator proteins in functional biological assays for tropomyosin allergenicity assessment of novel animal foods. Clin Exp Allergy. (2020) 50(1):105–16. doi: 10.1111/cea.13503

PubMed Abstract | Crossref Full Text | Google Scholar

25. Zuurveld M, Ogrodowczyk AM, Benedé S, Czolk R, Lucia Bavaro S, Randow S, et al. Allergenic shrimp tropomyosin distinguishes from a non-allergenic chicken homolog by pronounced intestinal barrier disruption and downstream Th2 responses in epithelial and dendritic cell (co)Culture. Nutrients. (2024) 16(8):1192. doi: 10.3390/nu16081192

PubMed Abstract | Crossref Full Text | Google Scholar

26. Hoogerwerf JJ, de Vos AF, Bresser P, van der Zee JS, Pater JM, de Boer A, et al. Lung inflammation induced by lipoteichoic acid or lipopolysaccharide in humans. Am J Respir Crit Care Med. (2008) 178(1):34–41. doi: 10.1164/rccm.200708-1261OC

PubMed Abstract | Crossref Full Text | Google Scholar

27. Ramery E, O'Brien PJ. Evaluation of the cytotoxicity of organic dust components on THP1 monocytes-derived macrophages using high content analysis. Environ Toxicol. (2014) 29(3):310–9. doi: 10.1002/tox.21759

PubMed Abstract | Crossref Full Text | Google Scholar

28. Burla S, Chary A, Weber P, Serchi T, Gutleb AC. Positive controls use for performance evaluation of an in vitro test system designed for the prediction of chemical respiratory sensitizers. Society of Toxicology (SOT) 63rd Annual Meeting; Salt Lake City, UT, USA (2024).

Google Scholar

29. Bonlokke JH, Bang B, Aasmoe L, Rahman AMA, Syron LN, Andersson E, et al. Exposures and health effects of bioaerosols in seafood processing workers - a position statement. J Agromedicine. (2019) 24(4):441–8. doi: 10.1080/1059924x.2019.1646685

PubMed Abstract | Crossref Full Text | Google Scholar

30. Torén K. The Nordic Expert Group for Criteria Documentation of Health Risks from Chemicals and the Dutch Expert Committee on Occupational Safety. Endotoxins (144). Sweden: U. o. Gothenburg (2011).

Google Scholar

31. Finkelstein MM. Potential pitfall in using cumulative exposure in exposure-response relationships: demonstration and discussion. Am J Ind Med. (1995) 28(1):41–7. doi: 10.1002/ajim.4700280104

PubMed Abstract | Crossref Full Text | Google Scholar

32. Kriebel D, Checkoway H, Pearce N. Exposure and dose modelling in occupational epidemiology. Occup Environ Med. (2007) 64(7):492–8. doi: 10.1136/oem.2006.030031

PubMed Abstract | Crossref Full Text | Google Scholar

33. Squillacioti G, Charreau T, Wild P, Bellisario V, Ghelli F, Bono R, et al. Worse pulmonary function in association with cumulative exposure to nanomaterials. Hints of a mediation effect via pulmonary inflammation. Part Fibre Toxicol. (2024) 21(1):28. doi: 10.1186/s12989-024-00589-3

PubMed Abstract | Crossref Full Text | Google Scholar

34. Silvestri M, Bontempelli M, Giacomelli M, Malerba M, Rossi GA, Di Stefano A, et al. High serum levels of tumour necrosis factor-alpha and interleukin-8 in severe asthma: markers of systemic inflammation? Clin Exp Allergy. (2006) 36(11):1373–81. doi: 10.1111/j.1365-2222.2006.02502.x

PubMed Abstract | Crossref Full Text | Google Scholar

35. Yalcin AD, Bisgin A, Gorczynski RM. IL-8, IL-10, TGF-β, and GCSF levels were increased in severe persistent allergic asthma patients with the anti-IgE treatment. Mediators Inflamm. (2012) 2012:720976. doi: 10.1155/2012/720976

PubMed Abstract | Crossref Full Text | Google Scholar

36. Liu D, Tan Y, Bajinka O, Wang L, Tang Z. Th17/IL-17 axis regulated by airway microbes get involved in the development of asthma. Curr Allergy Asthma Rep. (2020) 20(4):11. doi: 10.1007/s11882-020-00903-x

PubMed Abstract | Crossref Full Text | Google Scholar

37. McAleer JP, Kolls JK. Directing traffic: iL-17 and IL-22 coordinate pulmonary immune defense. Immunol Rev. (2014) 260(1):129–44. doi: 10.1111/imr.12183

PubMed Abstract | Crossref Full Text | Google Scholar

38. Kumari A, Dash D, Singh R. Lipopolysaccharide (LPS) exposure differently affects allergic asthma exacerbations and its amelioration by intranasal curcumin in mice. Cytokine. (2015) 76(2):334–42. doi: 10.1016/j.cyto.2015.07.022

PubMed Abstract | Crossref Full Text | Google Scholar

39. Radzyukevich YV, Kosyakova NI, Prokhorenko IR. Synergistic effect of dermatophagoides pteronyssinus allergen and Escherichia coli lipopolysaccharide on human blood cells. PLoS One. (2018) 13(11):e0207311. doi: 10.1371/journal.pone.0207311

PubMed Abstract | Crossref Full Text | Google Scholar

40. Zubova SV, Kosyakova NI, Grachev SV, Prokhorenko IR. Co-activation of human whole blood cells with lipopolysaccharides and an allergen. Life (Basel). (2023) 13(8):1672. doi: 10.3390/life13081672

PubMed Abstract | Crossref Full Text | Google Scholar

41. Uzunoglu E. Microbiological biohazards associated with occupational allergies. EMJ Allergy Immunol. (2017) 2(1):74–80. doi: 10.33590/emjallergyimmunol/10313129

Crossref Full Text | Google Scholar

42. Pointner L, Bethanis A, Thaler M, Traidl-Hoffmann C, Gilles S, Ferreira F, et al. Initiating pollen sensitization - complex source, complex mechanisms. Clin Transl Allergy. (2020) 10:36. doi: 10.1186/s13601-020-00341-y

PubMed Abstract | Crossref Full Text | Google Scholar

43. Eisenbarth SC, Piggott DA, Huleatt JW, Visintin I, Herrick CA, Bottomly K. Lipopolysaccharide-enhanced, toll-like receptor 4-dependent T helper cell type 2 responses to inhaled antigen. J Exp Med. (2002) 196(12):1645–51. doi: 10.1084/jem.20021340

PubMed Abstract | Crossref Full Text | Google Scholar

44. Zhu Z, Oh SY, Zheng T, Kim YK. Immunomodulating effects of endotoxin in mouse models of allergic asthma. Clin Exp Allergy. (2010) 40(4):536–46. doi: 10.1111/j.1365-2222.2010.03477.x

PubMed Abstract | Crossref Full Text | Google Scholar

45. Heydenreich B, Bellinghausen I, König B, Becker WM, Grabbe S, Petersen A, et al. Gram-positive bacteria on grass pollen exhibit adjuvant activity inducing inflammatory T cell responses. Clin Exp Allergy. (2012) 42(1):76–84. doi: 10.1111/j.1365-2222.2011.03888.x

PubMed Abstract | Crossref Full Text | Google Scholar

46. Fujihara M, Wakamoto S, Ito T, Muroi M, Suzuki T, Ikeda H, et al. Lipopolysaccharide-triggered desensitization of TNF-alpha mRNA expression involves lack of phosphorylation of IkappaBalpha in a murine macrophage-like cell line, P388D1. J Leukoc Biol. (2000) 68(2):267–76. doi: 10.1189/jlb.68.2.267

PubMed Abstract | Crossref Full Text | Google Scholar

47. Randow F, Syrbe U, Meisel C, Krausch D, Zuckermann H, Platzer C, et al. Mechanism of endotoxin desensitization: involvement of interleukin 10 and transforming growth factor beta. J Exp Med. (1995) 181(5):1887–92. doi: 10.1084/jem.181.5.1887

PubMed Abstract | Crossref Full Text | Google Scholar

48. Dalpke A, Heeg K, Bartz H, Baetz A. Regulation of innate immunity by suppressor of cytokine signaling (SOCS) proteins. Immunobiology. (2008) 213(3–4):225–35. doi: 10.1016/j.imbio.2007.10.008

PubMed Abstract | Crossref Full Text | Google Scholar

49. Cayrol C, Girard J-P. Interleukin-33 (IL-33): a critical review of its biology and the mechanisms involved in its release as a potent extracellular cytokine. Cytokine. (2022) 156:155891. doi: 10.1016/j.cyto.2022.155891

PubMed Abstract | Crossref Full Text | Google Scholar

50. Zhang Z, Reponen T, Hershey GK. Fungal exposure and asthma: igE and non-IgE-mediated mechanisms. Curr Allergy Asthma Rep. (2016) 16(12):86. doi: 10.1007/s11882-016-0667-9

PubMed Abstract | Crossref Full Text | Google Scholar

51. Antonini JM, Roberts JR, Chapman RS, Soukup JM, Ghio AJ, Sriram K. Pulmonary toxicity and extrapulmonary tissue distribution of metals after repeated exposure to different welding fumes. Inhal Toxicol. (2010) 22(10):805–16. doi: 10.3109/08958371003621641

PubMed Abstract | Crossref Full Text | Google Scholar

Keywords: allergy, additive effects, bioaerosol exposure, inflammation, occupational exposure, allergens, tropomyosin, microbial components

Citation: Zegeye FD, Mollerup S, Alswady-Hoff M, Kuehn A, Burla S, Straumfors A and Erdem JS (2025) Combined exposure to shrimp tropomyosin and microbial components triggers enhanced allergic and inflammatory responses in vitro. Front. Allergy 6:1654600. doi: 10.3389/falgy.2025.1654600

Received: 26 June 2025; Accepted: 5 November 2025;
Published: 24 November 2025.

Edited by:

Cecilia Isabel Muglia, CONICET Instituto de Estudios Inmunológicos y Fisiopatalógicos (IIFP), Argentina

Reviewed by:

Arya Vindu, Baylor College of Medicine, United States
Murugan Karuvelan, National Centre for Sustainable Coastal Management, India

Copyright: © 2025 Zegeye, Mollerup, Alswady-Hoff, Kuehn, Burla, Straumfors and Erdem. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Fikirte Debebe Zegeye, ZmlraXJ0ZS56ZWdleWVAc3RhbWkubm8=; Johanna Samulin Erdem, am9oYW5uYS5zYW11bGluLWVyZGVtQHN0YW1pLm5v

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.