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Does mechanobiology drive respiratory disease? Biomechanical induction of mucus hypersecretion in human bronchial organoids using a photocontrolled biomaterial gel

Isabel E. Uwagboeab, Sharon Mumbyb, Iain E. Dunlop*a and Ian M. Adcock*b
aDepartment of Materials, Faculty of Engineering, Imperial College London, UK. E-mail: i.dunlop@imperial.ac.uk
bNational Heart and Lung Institute, Faculty of Medicine, Imperial College London, UK. E-mail: ian.adcock@imperial.ac.uk

Received 23rd June 2025 , Accepted 29th October 2025

First published on 20th November 2025


Abstract

Respiratory diseases such as COPD, IPF and severe asthma are major causes of death globally, characterized by chronic inflammation and by fibrotic biomechanical remodelling of the lung ECM. However, present treatments focus on relieving inflammation and symptoms and do not address the mechanobiological aspect. This is in great part because the role of mechanobiology in disease progression and aetiology is not well-understood, indicating a need for new investigatory models. Here we introduce a combined biomaterial and 3D-organoid model, based on a hybrid biomaterial-matrix double-network gel, whose mechanical properties are dynamically photocontrolled by the application of light. This combines basement membrane extract (Matrigel) with biocompatible polymer (poly(ethylene glycol)diacrylate), and a low-toxicity photoinitation system. We achieve rapid (<5 min) photoinduced stiffening over the range of remodelled lung tissue (up to ∼140 kPa). Bronchosphere organoids from primary human bronchial epithelial cells, embedded within the hybrid gel, replicate airway physiology and exhibit a dynamic biological response to matrix stiffening. We show that the expression of mucus proteins MUC5AC and MUC5B is biomechanically enhanced over a period of 24–72 h, with in particular MUC5B showing a substantial response at 48 h after matrix stiffening. Mucus hypersecretion is a symptom of respiratory disease, and these results support the hypothesis that biomechanics is a driver of disease aetiology. We combine the photostiffened hybrid matrix gel with organoids from COPD donors, generating an advanced disease model including both cellular and biomechanical aspects. We propose this technology platform for evaluating mechanomodulatory therapeutics in respiratory disease.


Introduction

Fibrotic lung diseases – Chronic Obstructive Pulmonary Disease (COPD), Idiopathic Pulmonary Fibrosis (IPF), and severe asthma – impose a substantial burden on society. These conditions all combine long-term chronic inflammation with remodelling of the extracellular matrix (ECM) that leads to biomechanical stiffening. COPD is the primary non-infectious cause of death globally and the second named most common lung disease in the UK.1 In 2022, 1.4 million people were diagnosed with COPD in England with approximately 30[thin space (1/6-em)]000 people dying each year.2 IPF has a more pronounced and rapid change in pathology; mean life expectancy from diagnosis is 3–5 years in patients aged >70 years. There are no effective treatments available and currently no cure.3,4 Severe asthma [defined as uncontrolled by drug treatment] is also a fibrotic disease, and its prevalence is high, often estimated at 5–10% of all asthma patients.5

These chronic lung diseases can be treated to provide symptomatic relief: bronchodilators such as long-acting anti-muscarinic (LAMA) and long-acting beta agonists (LABA) enhance the airway patency and reduce breathlessness4,6 and mucolytics can aid mucus clearance from congested airways.7 However, these drugs are palliative and do not cure the disease. A standard conceptual model of fibrotic disease induction is that inflammation onsets in response to an insult, e.g. cigarette smoke, air pollution or infection, however once the insult is removed, the inflammation does not resolve should, but rather persists into the long term. This suggests that anti-inflammatory treatment should be effective against chronic respiratory disease, and indeed topical corticosteroids are widely used and do benefit patients,8 while benralizumab has recently been successfully trialled as an anti-inflammatory treatment for COPD.9 However while providing some relief, these anti-inflammatory treatments do not halt or reverse disease progression, showing that although fibrotic diseases originate in inflammation, other factors must also be responsible for disease continuation and progression.

This draws attention to the other key feature of fibrotic lung diseases: the remodelling of the extracellular matrix and the associated increase in biomechanical stiffness. In IPF, tissue stiffening is directly evidenced via mechanical measurements, with the Young's modulus of IPF-patient ECM measured as ∼10–100 kPa in fibrotic regions, in comparison with 0.1–10 kPa for matrix from healthy donors.10 COPD shows greater complexity within the matrix, exhibiting fibrosis and increased deposition of matrix fibres at fibrotic sites, often combined with emphysema which creates voids elsewhere.11 Moreover, disease alters factors that impact matrix mechanical properties, including the type of matrix proteins secreted,12,13 as well as the cross-linking of protein fibres. For example, cigarette smoking induces collagen cross-linking via advanced glycation endproducts (AGEs) and disease impacts enzymatic collagen crosslinking by lysyl oxidase.14–16

Disease has also been shown to impact signalling pathways that are associated with mechanosensing. Specifically the Hippo/YAP-TAZ pathway shows modified activity in respiratory disease,17–19 evidenced e.g. by analysis of the most differentially expressed MiRNAs in COPD bronchoalveolar lavages.19 Such changes in mechanosensing pathways suggest that cells are actively sensing remodelled biomechanical properties in the pathological microenvironment, and could also imply modified mechanosensing sensitivity or responsiveness by disease-phenotype cells.

These observations thus suggest the hypothesis that matrix biomechanical stiffening may be a driver of disease symptoms and progression in the airway.20 However the evidence base for this concept consists of observational studies, and there is no direct experimental evidence that disease phenotype can be induced by mechanical effects, or of altered mechanosensing in diseased cells. To address this challenge, we here devise a new in vitro model of the airway that directly incorporates matrix stiffening. The model combines bronchosphere organoids that mimic airway biology, with a new photocontrolled biomaterial whose mechanical properties can be dynamically modified by photoillumination, enabling the sensing by airway cells of their mechanical environment to be directly measured. We use this model to investigate the biological impact of mechanical change on mucus secretion as a key symptom of respiratory disease.

Bronchospheres are an organoid airway model, grown in vitro using primary human epithelial cells from patients or healthy donors.21,22 This delivers an improved model for fibrotic disease, in comparison to organoids that are derived from induced pluripotent stem cells consist of a single or multiple layers of cells in a spherical morphology, surrounding a central [hollow] lumen21 (Fig. 1B) that mimics the airway interior. As previously shown, bronchospheres accurately replicate the in vivo differentiation of the epithelium, with the apical layer of cells (i.e. the layer in contact with the lumen) including both ciliated cells and mucus-secreting goblet cells.23 Bronchospheres are hence a good model for the cellular component of the airway.


image file: d5bm00958h-f1.tif
Fig. 1 Development of a photocured double-network hybrid matrix gel. (A) Schematic of synthesis, showing formation of both synthetic network based on PEG-DA and protein-gel network based on temperature-induced Matrigel solidification. (B) Schematic showing bronchial organoids cultured in gel matrix (light blue), in transwell geometry (figures partially prepared using Biorender.com © biorender.com, used under licence).

Considering the matrix aspect of the model, by far the most popular matrix material for epithelial organoids in general – and used for bronchospheres in particular23 – is reconstituted murine basement membrane extract from the EHS sarcoma, i.e. Matrigel or a similar commercial product (here we refer throughout to Matrigel for convenience). Matrigel is rich in laminin and provides a reasonable biochemical model for the basement membrane ECM encountered by epithelial cells in vivo.24 However Matrigel's reconstituted mechanical properties do not replicate those of natural ECM, and it is much less stiff than either healthy or diseased ECM.25

Since the advent of mechanobiology, biomaterials have been used to mimic the in vitro mechanical microenvironment. 2D studies have used non-bioactive materials such as silicone elastomers or polymer hydrogels, coated with matrix proteins collagen or fibronectin,26–28 or other adhesive factors, e.g. ICAM-1.29 In 3D organoid culture this tradition of minimally-functionalized bioinert materials is exemplified by polymer gels incorporating selected cell stimulating molecules, e.g. adhesive peptides,30 and by other systems such as synthetic peptide nanostructures.31 Here we take a different approach, building on the rich biochemical composition of Matrigel that underpin its status as the leading gel-medium for supporting organoid culture. The stiffness of reconstituted protein gels including Matrigel can be modulated by varying the protein concentration, however this does not enable mechanobiological investigations, as mechanobiological effects cannot be distinguished from the direct impact of changing protein concentration. Hence it is desirable to develop a biomaterial that incorporates the advantages of Matrigel, but with controllable mechanics.

We here develop a hybrid gel that combines Matrigel with a synthetic polymer gel precursor. On application of light, the material stiffens, rapidly transitioning from a soft to a stiff matrix, as the synthetic polymer photocures, creating a hybrid double-network gel combining matrix and synthetic polymer (Fig. 1A). This hybrid gel exhibits the biochemistry of Matrigel, while its mechanical properties will be dominated by the synthetic polymer. The dynamic character of the measurement, whereby the organoid's mechanical microenvironment is rapidly modified in situ, enables time-resolved measurements of the biological response, revealing time-dependent aspects of mechanobiology that would be invisible in static-gel systems, e.g. where reconstituted matrix proteins are is stiffened by addition of carbohydrates.32–34 Using this new biomaterial system we investigate the response of human-derived bronchospheres, when the matrix stiffness is modified to values that would be associated with either healthy or fibrotic lung.

Results

Development of a hybrid synthetic biological matrix gel with dynamic photocontrol of stiffness

The first step was to design the double-network hybrid gel (schematic, Fig. 1A). As stated above the matrix-protein component was Matrigel, while for the synthetic network polymer we selected poly(ethylene diacrylate) (PEG-DA), building on PEG's well-known biocompatibility as shown by e.g. its clinical application to modify drug circulation times.35 PEG-DA gels have been widely synthesized, based on radical polymerization, and their structures investigated.36–38 A key challenge in developing the hybrid gel was to combine biocompatibility and lack of cytotoxic impact, with a rapid and substantial change in stiffness to span the range of healthy and diseased tissue. We selected green light (525 nm) due to anticipated lower phototoxicity than blue or UV light. As a photoinitiator system we selected eosin-Y (EY) with a co-initiator of triethanolamine (TEAO), due to its proven low phototoxicity.39 We considered as alternatives camphorquinone, and riboflavin with TEAO, however these showed slower photocuring than EY with TEAO in preliminary tests. The concentrations of EY and TEAO were optimized for a low curing time, with the best results coming at a mass ratio of EY[thin space (1/6-em)]:[thin space (1/6-em)]TEAO = 1[thin space (1/6-em)]:[thin space (1/6-em)]5.62 (SI Fig. S1) This gave a curing time of ∼12 s using a bespoke LED setup (10 W) for a 20% PEG-DA (Mw = 700 Da) gel. Incorporation of Matrigel increased this curing time presumably as the increased organic content leads to radical scavenging, hence a minimum time of 1 minute was used for the hybrid gel. As a final formulation we selected PEG-DA (Mw = 700 Da, 20% fraction), Matrigel 25%.

Photocontrol of the gel mechanical properties was demonstrated using compression testing (gel monoliths measured using 8 mm plate geometry, 50 N load cell) (Fig. 2B). Young's modulus, E, as a measure of stiffness was determined by fitting the initial linear region of an engineering stress vs. strain plot (Fig. 2C). The stiffness of the gel, was E = 37 ± 4 kPa for 1 minute photocuring, versus E = 138 ± 23 kPa for 5 minutes photocuring (Fig. 2A). This represents a very substantial increase over the value of the uncured gel, which was essentially negligible, consistent with the very low stiffness of Matrigel alone.25 These values are within the range reported for fibrotic lung tissue,10 so that the hybrid gel constitutes an effective model of the pathological matrix microenvironment, with the curing time serving as a model parameter for the level of fibrotic stiffening. We select Young's modulus as a measure of gel stiffness, for comparability with tissue biomechanical measurements. While Young's modulus has conceptual limitations, as it ignores tissue viscoelastic and non-linear properties, Young's modulus determined by compression or indentation remains by far the most common metric of tissue mechanics used in the mechanobiology field (see e.g. ref. 40 and 41).


image file: d5bm00958h-f2.tif
Fig. 2 Mechanical testing of hybrid matrix gel. (A) Stiffness (Young's modulus) of gel with different photocuring times measured using (B) compression testing. (C) Confirmation of linearity in engineering stress–strain compression curves used to derive Young's modulus: (top panel) 1 min photocure; (bottom panel) 5 min photocure (symbols show data from individual samples and dotted lines fits).

Human bronchial organoids are viable and maintain structure in photostiffened hybrid matrix gel

To establish the photocured hybrid gel matrix as a model microenvironment for biomechanical investigations of the respiratory system, bronchosphere organoids (established in Matrigel) were transferred into the hybrid gel precursor solution, in a transwell geometry (Fig. 1B), which was then photocured. Confocal fluorescence microscopy was used to investigate organoid viability, based on the maintenance of organoid intactness and nuclear integrity, shown by nuclear imaging over 72 h, with no sign of disruption by any toxic effect (Fig. 3) Additionally, the maintenance of cellular proliferative function following stiffening was verified by Ki67 imaging and qPCR (SI Fig. S2).
image file: d5bm00958h-f3.tif
Fig. 3 Culture of bronchial organoids in photostiffened hybrid matrix gel. Time course showing integrity of cell nuclei and organoid structure from 0–72 hours in gel (5 minutes photocured, i.e. 138 kPa) and uncured gel precursor (blue = DAPI). Scale bar 100 μm (images from distinct experiments for each time point).

Mucus secretion in human bronchial organoids is biomechanically modulated by matrix stiffening

We next investigated the impact of matrix-stiffening on mucus secretion. The secretion of mucus proteins MUC5AC and MUC5B by bronchosphere in stiffened hybrid gels vs. control was investigated by confocal immunofluorescence microscopy (fixed and permeabilized samples, Fig. 4). Both of these mucus proteins are secreted in organoids, and this is observed across all matrix types: Matrigel and the 1 min and 5 min photocured hybrid gels. The secretion of mucus shows that these organoids contain epithelial cells of the goblet sub-type, indicating further they are a good representation of the in vivo differentiated epithelium (Fig. 1B). It is interesting to note that there is no clear spatial relationship between secretion of the two mucus proteins: in some cases they are secreted in the same location, and in some cases in separate locations. This is consistent with the results of a prior investigation on an air–liquid interface model of bronchial epithelium, which showed the existence of cells that secrete only one or the other of these proteins, as well as some cells that secrete both (data from Human Lung Atlas core dataset;42 SI Fig. S3). A 3D reconstructed image showing mucus secretion in an organoid in a hybrid matrix gel is appended (SI Video S2).
image file: d5bm00958h-f4.tif
Fig. 4 Mucus secretion in human bronchial organoids after photostiffening of matrix. Confocal immunofluorescence imaging of MUC5AC (yellow) and MUC5B (pink) along with cell nuclei (DAPI, blue). Images are shown in Matrigel as a control (A and D), photostiffened hybrid matrix gel after 1 minute photocuring (37 kPa: B and E) and 5 minutes photocure (138 kPa: C and F), at time points of 0 h (A–C) and 72 h after photocuring/light exposure (D–F).

Quantitative evaluation of mucus secretion in photostiffened gels versus control was performed using quantitative PCR (q-PCR, determining the amount of messenger RNA) to evaluate expression of the relevant genes (Fig. 5). Expression was determined dynamically as a function of time after photocuring: an important benefit of the near-instant photocuring proceses (in comparison to culture times). The overall value for each condition was normalized to control organoids in uncured gel precursor, so that the graph effectively shows fold-change for the photostiffened gels versus uncured (after initial normalization to an average of housekeeping genes).


image file: d5bm00958h-f5.tif
Fig. 5 Biomechanical modulation of mucus protein expression in human bronchial organoids. Plots show expression analysed by q-PCR of MUC5B (A) and MUC5AC (B), for organoids in gels photocured for 1 minute (37 kPa, red, dashed lines) and 5 minutes (138 kPa, green, solid lines), with lines and symbols indicating organoids from distinct human donors (n = 4), as a function of incubation time after photocuring (0–72 h). All values are normalized to a control sample which was cultured in the hybrid gel precursor but without photocuring.

The impact of stiffening the matrix is to increase mucus secretion. For MUC5B, the effect is consistent and sensitive at 48 h after stiffening, with the stiffest (5 min photocure) gels showing high levels of increase in MUC5B secretion (3/4 donors), while intermediate stiffness (1 min photocure) gels show a lesser but still substantial effect (Fig. 5A). For MUC5AC, secretion increases in the stiffest gel (5 min cure) but not the intermediate stiffness (1 min cure, ignoring an outlier with anomalously high initial stiffness) (Fig. 5B). Here, there is some variation in the timepoint of maximum stiffening. Indeed, across the two proteins, we see dynamic variation in mucus secretion, in particular for MUC5B we see essentially no change after 24 h, but the increase in mucus secretion reaches a high maximum level at 48 h (an averaged display of the same data is shown in SI Fig. S4.)

Photostiffened hybrid gel can be used as a scaffold for organoid investigations of COPD

Finally, we explored whether the photostiffened gel can be used to generate an advanced in vitro 3D model of a respiratory disease. A realistic model of respiratory disease in vitro should combine disease-altered cells, together with a matrix that represents the remodelled/stiffened matrix associated with disease. As a proof of concept, organoids were created using the same protocols as before, but using primary human epithelial cells derived from donors with COPD, and were embedded in the photostiffened hybrid gel. Confocal microscopy was used to image cell nuclei and mucus secretion for gels of multiple stiffnesses at 0 h and 48 h after photocuring (Fig. 6A–F). These images show the maintenance of organoid integrity and mucus secretion, as for healthy organoids. Hence these results indicate the generation of a mechanically and cellularly realistic 3D in vitro model of COPD. Mucus secretion was evaluated using q-PCR in the same way as for healthy organoids (Fig. 6G and H). Again, it was found that the stiffening of the matrix-gel increased mucus protein secretion for most conditions, with an especially striking increase in the secretion of MUC5B at the 72 hours timepoint for the stiffest (5 min photocure) gel (data from individual donors displayed in SI Fig. S5).
image file: d5bm00958h-f6.tif
Fig. 6 Culture of COPD-derived bronchial epithelial organoids in photostiffened hybrid matrix gel. Organoids grown from primary human bronchial epithelial cells (CHBEs), and embedded into photostiffened hybrid matrix gel in the same way as for normal organoids above. Confocal immunofluorescence imaging of MUC5AC (yellow) and MUC5B (pink) along with cell nuclei (DAPI, blue). Images are shown in Matrigel as a control (A and D), photostiffened hybrid matrix gel after 1 minute photocuring (37 kPa: B and E) and 5 minutes photocure (138 kPa: C and F), at time points of 0 h (A–C) and 48 h after photocuring/light exposure (D–F). (G and H) Biomechanical modulation of mucus protein expression in COPD-derived organoids. Plots show expression analysed by q-PCR of MUC5B (A) and MUC5AC (B), for organoids in gels photocured for 1 minute (yellow) and 5 minutes (green), normalized with respect to a control sample which was cultured in the hybrid gel precursor but without photocuring (pink).

Discussion

Our results establishes experimentally for the first time that mucus hypersecretion, a key disease symptom in both COPD and IPF, can be directly induced by mechanical change in the matrix mechanical properties. This suggests that stiffening of the extracellular matrix may be a driver of fibrotic lung disease, rather than a purely passive output of the disease process. This gives support to a recently proposed conceptual model of fibrosis.20,43 In this view, the initial insult and inflammation lead to changes in matrix mechanical properties, in particular increasing stiffness. These altered mechanical properties are then sensed by epithelial cells, which respond by generating a disease phenotype, including potentially more inflammation, leading to disease progression. Hence even if anti-inflammatory treatment reduces inflammation, the altered mechanical properties remain, and will play a role in driving disease progression, and in restarting it if treatment is stopped. While preliminary, our results give clear support to this model. The light-induced nature of the stiffening, permitting both dynamic variation of matrix stiffness, and the use of a comparable uncured control, makes the mechanically-controlled nature of this change very clear. The technology we have created can thus function as an effective platform for mechanobiological investigation of organoid systems, in respiratory disease and beyond.

Furthermore, the construction of an ex vivo organoid system with the ability to biomechanically induce a disease symptom – mucus hypersecretion – opens the possibility to test drugs that inhibit or modulate mechanosensing, with the aim of relieving this symptom in patients. This is significant because mucus hypersecretion is a key symptom of both COPD and IPF, and responsible for many of the adverse effects experienced by patients with these conditions.44 Current treatments address the effects but not the underlying biological causes of mucus secretion. Hence the concept of mechanosensing modulation as a potential mechanism of action is of value, especially since reagents that modulate mechanosensing signalling pathways are increasingly in pre-clinical investigation across a range of contexts. Furthermore we have shown that the photostiffened matrix gel can be combined with COPD organoids to generate a combined mechanical and biological in vitro disease model.

From a biophysics perspective, our results demonstrate a new instance of biomechanical response in epithelial tissue. Across many tissues, it has now been shown that cells sense forces and the mechanical properties of their environment, and these impact complex cellular behaviours including stem cell differentiation,45,46 cell migration47 and metastasis,48 and immune cell activation.29 An emerging challenge in the field is to understand how such mechanosensing impacts disease, and our results make a contribution to this. Technologically, we have introduced a new and valuable mechanically-controlled biomaterial to the mechanobiology toolbox. As mentioned above there is a need for technologies that modulate matrix stiffness across a wide range of values without changing the concentration of matrix biomolecules, and our photostiffened gel achieves this. Alternative biomaterial approaches that have been reported include mixing matrix extract with carbohydrates such as agarose and alginate,32–34 however in this case the stiffness is determined from the start, and cannot be altered dynamically as in our photostiffened material. The PEG-DA-based approach is exceptionally straightforward to implement, and does not require prior chemical modification of the matrix proteins.49 Of equal importance, we have used as a protein source Matrigel, which is readily available commercially in contrast to patient-derived matrices49 and which leads to laminin-rich biomaterials suited to epithelial cells, in contrast to pure collagen gels50,51, which do not effectively represent the basement membrane.

In conclusion, this study shows for the first time the induction of a key respiratory disease secretion – mucus hypersecretion – by mechanically stiffening the matrix. This is achieved by introducing a new bioengineered in vitro model for lung disease that models pathological matrix stiffening along with the biology of the epithelium. These results help shed light on the biology of respiratory disease, and open the path towards new mechanomodulatory therapies.

Methods

Cells and organoid generation

Normal human primary bronchial epithelial cells (NHBEs) and human primary bronchial epithelial cells from COPD donors (CHBEs) were used. These were either purchased from Lonza (Basel, Switzerland) or Promocell (Heidelberg, Germany), or were obtained from the Royal Brompton Hospital Biobank (REC number 15/SC/0101) or as part of the COPDMAP consortium (https://www.copdmap.org; NCT01620645). All patients provided written informed consent using protocols approved by the local Ethics Committees (London-11/L0/1630), and which conform to the ethical principles for medical research involving human participants according to the World Medical Association's Declaration of Helsinki. Donors were 50% male 50% female and in the age range 38–76 years (donor details see SI Table S1).

A co-culture system was initially used to create the lung organoids, using NIH/3T3 mouse fibroblasts and human bronchial epithelial cells as previously described.32,52,53 Feeder layers were seeded, cultured to ∼70% confluency and then growth arrested in order to introduce the human bronchial epithelial cells. Once passaged, the bronchial epithelial cells were seeded as single cells on a bed of 25% Matrigel (Corning Life Sciences, Amsterdam, Netherlands) and fed on day 3, 8, 14 and then weekly until mature bronchospheres were formed. Bronchospheres were harvested on day 24–27.

Organoid implantation into biomaterial hybrid gel

Gel precursor solution was created from polyethylene diacrylate (PEG-DA, Mw 700 Da, Sigma-Aldrich/Merck, Dorset, U.K., 20 vol% final concentration in precursor solution); culture media (composition see SI Table S2; 35 vol% final concentration); Matrigel (Corning Life Sciences B.V., Amsterdam, The Netherlands; 25 vol%), photoinitiator system: triethanolamine solution (0.5% v/v in sterile water, 10% by volume) and Eosin Y solution (0.01% w/v in ethanol; 10 vol%) both from Sigma-Aldrich. Reagents were added in the following order with pipette mixing: culture media containing organoids; triethanolamine; Eosin-Y; Matrigel (stored on. ice to keep it liquid). The suspension was transferred to a 24-well transwell insert (Sarstedt AG & Co. KG, Germany) which was then placed in a 12-well plate to ensure plastic-plastic contact at the bottom for improved light transmission, and sealed with parafilm. Light curing used a 10 W pure green light wavelength (525 nm) LED array, with the microwell placed directly on top of the light source. Photocuring time was either 1 min or 5 min depending on desired gel stiffness, and also uncured controls were used (no light exposure). After curing, the transwell insert was placed in a 24-well plate, and culture media was added both above the gel and to the lower part of the transwell assembly. Some organoid samples were harvested immediately after curing (0 hours), otherwise, organoids were then cultured for either 24, 48 or 72 hours.

Mechanical characterization of biomaterial hybrid gel

Mechanical characterization used monolith samples of photostiffened hybrid matrix gel prepared without organoids. These were subject to compression tests (Discovery Hybrid rheometer, TA Instruments, Delaware, USA, 8 mm diameter parallel plate geometry, axial force mode, 50 N effective load cell). Young's modulus was determined by fitting the initial linear region of an engineering stress vs. strain curve (Fig. 2C).

Confocal imaging

Confocal images were taken by using whole mount sample staining as used previously.54 Samples were fixed, permeabilised and stained using specific antibodies. Tissue clearing was used to clarify images generated.

Quantitative PCR (q-PCR) measures of gene expression

Q-PCR was used to quantify the expression of selected genes according to previously used approaches,55 normalization as per main text.

Conflicts of interest

There are no conflicts to declare.

Data availability

Data have been included where possible in the article or supplementary information (SI). Supplementary information is available. See DOI: https://doi.org/10.1039/d5bm00958h.

Otherwise, data are available from the corresponding authors on request.

Acknowledgements

This work was funded by an EPSRC Doctoral Partnership studentship to IEU (EP/N509486/1), and the use of equipment funded by EP/M000044/1. We acknowledge support from the South Kensington Flow Cytometry Facility, and the Facility for Imaging with Light Microscopy, both at Imperial College London.

References

  1. Asthma+LungUK, COPD in the UK: Delayed diagnosis and unequal care. Executive summary and recommendations, 2022.
  2. A. Kulakiewicz, M. Macdonald and C. Baker, Support for people with chronic obstructive pulmonary disease, House of Commons Library, UK Parliament, United Kingdom, 2021 Search PubMed.
  3. T. M. Maher, E. Bendstrup, L. Dron, J. Langley, G. Smith, J. M. Khalid, H. Patel and M. Kreuter, Global incidence and prevalence of idiopathic pulmonary fibrosis, Respir. Res., 2021, 22(1), 197 CrossRef PubMed.
  4. L. G. Spencer, M. Loughenbury, N. Chaudhuri, M. Spiteri and H. Parfrey, Idiopathic pulmonary fibrosis in the UK: analysis of the British Thoracic Society electronic registry between 2013 and 2019, ERJ Open Res., 2021, 7(1), 00187–02020 Search PubMed.
  5. K. F. Chung, S. E. Wenzel, J. L. Brozek, A. Bush, M. Castro, P. J. Sterk, I. M. Adcock, E. D. Bateman, E. H. Bel, E. R. Bleecker, L. P. Boulet, C. Brightling, P. Chanez, S. E. Dahlen, R. Djukanovic, U. Frey, M. Gaga, P. Gibson, Q. Hamid, N. N. Jajour, T. Mauad, R. L. Sorkness and W. G. Teague, International ERS/ATS guidelines on definition, evaluation and treatment of severe asthma, Eur. Respir. J., 2014, 43(2), 343–373 CrossRef PubMed.
  6. I. Uwagboe, I. M. Adcock, F. L. Bello, G. Caramori and S. Mumby, New drugs under development for COPD, Minerva Med., 2022, 113(3), 471–496 Search PubMed.
  7. P. Poole, K. Sathananthan and R. Fortescue, Mucolytic agents versus placebo for chronic bronchitis or chronic obstructive pulmonary disease, Cochrane Database Syst. Rev., 2019, 5, CD001287 Search PubMed.
  8. I. M. Adcock, G. Caramori and P. A. Kirkham, Strategies for improving the efficacy and therapeutic ratio of glucocorticoids, Curr. Opin. Pharmacol., 2012, 12(3), 246–251 CrossRef PubMed.
  9. S. Ramakrishnan, R. E. K. Russell, H. R. Mahmood, K. Krassowska, J. Melhorn, C. Mwasuku, I. D. Pavord, L. Bermejo-Sanchez, I. Howell, M. Mahdi, S. Peterson, T. Bengtsson and M. Bafadhel, Treating eosinophilic exacerbations of asthma and COPD with benralizumab (ABRA): a double-blind, double-dummy, active placebo-controlled randomised trial, Lancet Respir. Med., 2024, 13(1), 59–68 CrossRef PubMed.
  10. A. J. Booth, R. Hadley, A. M. Cornett, A. A. Dreffs, S. A. Matthes, J. L. Tsui, K. Weiss, J. C. Horowitz, V. F. Fiore, T. H. Barker, B. B. Moore, F. J. Martinez, L. E. Niklason and E. S. White, Acellular normal and fibrotic human lung matrices as a culture system for in vitro investigation, Am. J. Respir. Crit. Care Med., 2012, 186(9), 866–876 CrossRef PubMed.
  11. M. Karakioulaki, E. Papakonstantinou and D. Stolz, Extracellular matrix remodelling in COPD, Eur. Respir. Rev., 2020, 29(158), 190124 CrossRef PubMed.
  12. G. Burgstaller, B. Oehrle, M. Gerckens, E. S. White, H. B. Schiller and O. Eickelberg, The instructive extracellular matrix of the lung: basic composition and alterations in chronic lung disease, Eur. Respir. J., 2017, 50(1), 1601805 CrossRef PubMed.
  13. M. L. Decaris, M. Gatmaitan, S. FlorCruz, F. Luo, K. Li, W. E. Holmes, M. K. Hellerstein, S. M. Turner and C. L. Emson, Proteomic Analysis of Altered Extracellular Matrix Turnover in Bleomycin-induced Pulmonary Fibrosis, Mol. Cell. Proteomics, 2014, 13(7), 1741–1752 CrossRef CAS PubMed.
  14. C. Onursal, E. Dick, I. Angelidis, H. B. Schiller and C. A. Staab-Weijnitz, Collagen Biosynthesis, Processing, and Maturation in Lung Ageing, Front. Med., 2021, 8, 593874 CrossRef PubMed.
  15. G. Tjin, E. S. White, A. Faiz, D. Sicard, D. J. Tschumperlin, A. Mahar, E. P. W. Kable and J. K. Burgess, Lysyl oxidases regulate fibrillar collagen remodelling in idiopathic pulmonary fibrosis, Dis. Model. Mech., 2017, 10(11), 1301–1312 CrossRef PubMed.
  16. V. Aumiller, B. Strobel, M. Romeike, M. Schuler, B. E. Stierstorfer and S. Kreuz, Comparative analysis of lysyl oxidase (like) family members in pulmonary fibrosis, Sci. Rep., 2017, 7(1), 149 CrossRef.
  17. P. Kachroo, J. D. Morrow, A. T. Kho, C. A. Vyhlidal, E. K. Silverman, S. T. Weiss, K. G. Tantisira and D. L. DeMeo, Co-methylation analysis in lung tissue identifies pathways for fetal origins of COPD, Eur. Respir. J., 2020, 56(4), 1902347 CrossRef CAS PubMed.
  18. H. J. Xie, L. Q. Wu, Z. A. Deng, Y. T. Huo and Y. X. Cheng, Emerging roles of YAP/TAZ in lung physiology and diseases, Life Sci., 2018, 214, 176–183 CrossRef CAS PubMed.
  19. N. Cerón-Pisa, A. Iglesias, H. Shafiek, A. Martín-Medina, M. Esteva-Socias, J. Muncunill, A. Fleischer, J. Verdú, B. G. Cosío and J. Sauleda, Hsa-Mir-320c, Hsa-Mir-200c-3p, and Hsa-Mir-449c-5p as Potential Specific miRNA Biomarkers of COPD: A Pilot Study, Pathophysiology, 2022, 29(2), 143–156 CrossRef.
  20. M. A. T. Freeberg, A. Perelas, J. K. Rebman, R. P. Phipps, T. H. Thatcher and P. J. Sime, Mechanical Feed-Forward Loops Contribute to Idiopathic Pulmonary Fibrosis, Am. J. Pathol., 2021, 191(1), 18–25 CrossRef CAS PubMed.
  21. P. Beri, Y. J. Woo, K. Schierenbeck, K. Chen, S. W. Barnes, O. Ross, D. Krutil, D. Quackenbush, B. Fang, J. Walker, W. Barnes and E. Q. Toyama, A high-throughput cigarette smoke-treated bronchosphere model for disease-relevant phenotypic compound screening, PLoS One, 2023, 18(6), e0287809 CrossRef CAS PubMed.
  22. J. van der Vaart and H. Clevers, Airway organoids as models of human disease, J. Intern. Med., 2021, 289(5), 604–613 CrossRef CAS PubMed.
  23. Y. C. Zheng, Q. Y. Tian, H. W. Yang, Y. D. Cai, J. X. Zhang, Y. F. Wu, S. Zhu, Z. C. Qiu, Y. M. Lin, J. Q. Hong, Y. Zhang, D. Dockrell and S. H. Ma, Identification of Nicotinic Acetylcholine Receptor for N-Acetylcysteine to Rescue Nicotine-induced Injury Using Beating Cilia in Primary Tissue Derived Airway Organoids, Adv. Sci., 2024, e2407054 Search PubMed.
  24. H. K. Kleinman, M. L. Mcgarvey, J. R. Hassell, V. L. Star, F. B. Cannon, G. W. Laurie and G. R. Martin,  Basement-Membrane Complexes with Biological-Activity, Biochemistry, 1986, 25(2), 312–318 CrossRef CAS PubMed.
  25. K. Slater, J. Partridge and H. Nandivada, Tuning the Elastic Moduli of Corning® Matrigel® and Collagen I 3D Matrices by Varying the Protein Concentration, Corning, Corning Application Note.
  26. J. L. Young and A. J. Engler, Hydrogels with time-dependent material properties enhance cardiomyocyte differentiation in vitro, Biomaterials, 2011, 32(4), 1002–1009 CrossRef CAS PubMed.
  27. B. Trappmann, J. E. Gautrot, J. T. Connelly, D. G. T. Strange, Y. Li, M. L. Oyen, M. A. C. Stuart, H. Boehm, B. J. Li, V. Vogel, J. P. Spatz, F. M. Watt and W. T. S. Huck, Extracellular-matrix tethering regulates stem-cell fate, Nat. Mater., 2012, 11(7), 642–649 CrossRef CAS.
  28. G. K. Toworfe, R. J. Composto, C. S. Adams, I. M. Shapiro and P. Ducheyne, Fibronectin adsorption on surface-activated poly(dimethylsiloxane) and its effect on cellular function, J. Biomed. Mater. Res., Part A, 2004, 71a(3), 449–461 CrossRef CAS PubMed.
  29. S. Sasidharan, D. M. Davis and I. E. Dunlop, Bioinspired Materials for Immunoengineering of T Cells and Natural Killer Cells, Adv. Funct. Mater., 2024, 34(35), 2307433 CrossRef CAS.
  30. L. E. E. Jansen, H. Kim, C. L. Hall, T. P. McCarthy, M. J. Lee and S. R. Peyton, A poly(ethylene glycol) three-dimensional bone marrow hydrogel, Biomaterials, 2022, 280, 121270 CrossRef CAS PubMed.
  31. L. A. Castillo-Diaz, J. E. Gough, A. F. Miller and A. Saiani, RGD-functionalised self-assembling peptide hydrogel induces a proliferative profile in human osteoblasts in vitro, J. Pept. Sci., 2024, e3653 Search PubMed.
  32. T. G. Güney, A. M. Herranz, S. Mumby, I. E. Dunlop and I. M. Adcock, Epithelial-stromal cell interactions and extracellular matrix mechanics drive the formation of airway-mimetic tubular morphology in lung organoids, iScience, 2021, 24(9), 103061 CrossRef.
  33. S. R. Moxon, N. J. Corbett, K. Fisher, G. Potjewyd, M. Domingos and N. M. Hooper, Blended alginate/collagen hydrogels promote neurogenesis and neuronal maturation, Mater. Sci. Eng., C, 2019, 104, 109904 CrossRef CAS.
  34. S. Deng, Y. Zhu, X. Zhao, J. Chen, R. S. Tuan and H. F. Chan, Efficient fabrication of monodisperse hepatocyte spheroids and encapsulation in hybrid hydrogel with controllable extracellular matrix effect, Biofabrication, 2021, 14(1), 015002 CrossRef PubMed.
  35. M. Hamidi, A. Azadi and P. Rafiei, Pharmacokinetic consequences of pegylation, Drug Delivery, 2006, 13(6), 399–409 CrossRef CAS PubMed.
  36. J. Mercado-Montijo, D. M. Anstine, S. J. Rukmani, C. M. Colina and J. S. Andrew, PEGDA hydrogel structure from semi-dilute concentrations: insights from experiments and molecular simulations, Soft Matter, 2022, 18(18), 3565–3574 RSC.
  37. M. Levin, Y. Tang, C. D. Eisenbach, M. T. Valentine and N. Cohen, Understanding the Response of Poly(ethylene glycol) diacrylate (PEGDA) Hydrogel Networks: A Statistical Mechanics-Based Framework, Macromolecules, 2024, 57(15), 7074–7086 CrossRef CAS.
  38. J. Li, Y. Peng, J. Pena and J. Xing, An initiating system with high efficiency for PEGDA photopolymerization at 532 nm, J. Photochem. Photobiol., A, 2021, 411, 113216 CrossRef CAS.
  39. A. Fu, K. Gwon, M. Kim, G. Tae and J. A. Kornfield, Visible-light-initiated thiol-acrylate photopolymerization of heparin-based hydrogels, Biomacromolecules, 2015, 16(2), 497–506 CrossRef CAS PubMed.
  40. I. Shioka, R. Morita, R. Yagasaki, D. Wuergezhen, T. Yamashita, H. Fujiwara and S. Okuda, Ex vivo SIM-AFM measurements reveal the spatial correlation of stiffness and molecular distributions in 3D living tissue, Acta Biomater., 2024, 189, 351–365 CrossRef CAS.
  41. J. P. Raja Xavier, C. Rianna, E. Hellwich, I. Nikolou, A. K. Lankapalli, S. Y. Brucker, Y. Singh, F. Lang, T. E. Schaffer and M. S. Salker, Excessive endometrial PlGF- Rac1 signalling underlies endometrial cell stiffness linked to pre-eclampsia, Commun. Biol., 2024, 7(1), 530 CrossRef CAS PubMed.
  42. H. B. Schiller, D. T. Montoro, L. M. Simon, E. L. Rawlins, K. B. Meyer, M. Strunz, F. A. Vieira Braga, W. Timens, G. H. Koppelman, G. R. S. Budinger, J. K. Burgess, A. Waghray, M. van den Berge, F. J. Theis, A. Regev, N. Kaminski, J. Rajagopal, S. A. Teichmann, A. V. Misharin and M. C. Nawijn, The Human Lung Cell Atlas: A High-Resolution Reference Map of the Human Lung in Health and Disease, Am. J. Respir. Cell Mol. Biol., 2019, 61(1), 31–41 CrossRef CAS PubMed.
  43. Y. Long, Y. D. Niu, K. N. Liang and Y. N. Du, Mechanical communication in fibrosis progression, Trends Cell Biol., 2022, 32(1), 70–90 CrossRef CAS PubMed.
  44. R. Balsamo, L. Lanata and C. G. Egan, Mucoactive drugs, Eur. Respir. Rev., 2010, 19(116), 127–133 CrossRef CAS PubMed.
  45. K. H. Vining and D. J. Mooney, Mechanical forces direct stem cell behaviour in development and regeneration, Nat. Rev. Mol. Cell Bio., 2017, 18(12), 728–742 CrossRef CAS.
  46. H. Atcha, Y. S. Choi, O. Chaudhuri and A. J. Engler,  Getting physical: Material mechanics is an intrinsic cell cue, Cell Stem Cell, 2023, 30(6), 750–765 CrossRef CAS.
  47. M. Mathieu, A. Isomursu and J. Ivaska, Positive and negative durotaxis - mechanisms and emerging concepts, J. Cell Sci., 2024, 137(8), jcs261919 CrossRef CAS PubMed.
  48. E. Cambria, M. F. Coughlin, M. A. Floryan, G. S. Offeddu, S. E. Shelton and R. D. Kamm, Linking cell mechanical memory and cancer metastasis, Nat. Rev. Cancer, 2024, 24(3), 216–228 CrossRef CAS PubMed.
  49. M. Nizamoglu, R. H. J. de Hilster, F. Zhao, P. K. Sharma, T. Borghuis, M. C. Harmsen and J. K. Burgess, An in vitro model of fibrosis using crosslinked native extracellular matrix-derived hydrogels to modulate biomechanics without changing composition, Acta Biomater., 2022, 147, 50–62 CrossRef CAS PubMed.
  50. Z. Bao, M. Gao, X. Fan, Y. Cui, J. Yang, X. Peng, M. Xian, Y. Sun and R. Nian, Development and characterization of a photo-cross-linked functionalized type-I collagen (Oreochromis niloticus) and polyethylene glycol diacrylate hydrogel, Int. J. Biol. Macromol., 2020, 155, 163–173 CrossRef CAS.
  51. L. Tytgat, A. Dobos, M. Markovic, L. Van Damme, J. Van Hoorick, F. Bray, H. Thienpont, H. Ottevaere, P. Dubruel, A. Ovsianikov and S. Van Vlierberghe, High-Resolution 3D Bioprinting of Photo-Cross-linkable Recombinant Collagen to Serve Tissue Engineering Applications, Biomacromolecules, 2020, 21(10), 3997–4007 CrossRef CAS PubMed.
  52. C. R. Butler, R. E. Hynds, K. H. C. Gowers, D. D. H. Lee, J. M. Brown, C. Crowley, V. H. Teixeira, C. M. Smith, L. Urbani, N. J. Hamilton, R. M. Thakrar, H. L. Booth, M. A. Birchall, P. De Coppi, A. Giangreco, C. O'Callaghan and S. M. Janes, Rapid Expansion of Human Epithelial Stem Cells Suitable for Airway Tissue Engineering, Am. J. Respir. Crit. Care Med., 2016, 194(2), 156–168 CrossRef CAS PubMed.
  53. R. E. Hynds, A. Ben Aissa, K. H. C. Gowers, T. B. K. Watkins, L. Bosshard-Carter, A. J. Rowan, S. Veeriah, G. A. Wilson, S. A. Quezada, C. Swanton, S. M. Janes and TRACERx Consortium, Expansion of airway basal epithelial cells from primary human non-small cell lung cancer tumors, Int. J. Cancer, 2018, 143(1), 160–166 CrossRef CAS PubMed.
  54. M. Z. Nikolic and E. L. Rawlins, Lung Organoids and Their Use To Study Cell-Cell Interaction, Curr. Pathobiol. Rep., 2017, 5(2), 223–231 CrossRef.
  55. S. Mumby, F. Perros, J. Grynblat, G. Manaud, A. Papi, P. Casolari, G. Caramori, M. Humbert, S. John Wort and I. M. Adcock, Differential responses of pulmonary vascular cells from PAH patients and controls to TNFalpha and the effect of the BET inhibitor JQ1, Respir. Res., 2023, 24(1), 193 CrossRef CAS PubMed.

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