Application of a high-content screening assay utilising primary human lung fibroblasts to identify antifibrotic drugs for rapid repurposing in COVID-19 patients

Lung imaging and autopsy reports among COVID-19 patients show elevated lung scarring (fibrosis). Early data from COVID-19 patients as well as previous studies from severe acute respiratory syndrome, Middle East respiratory syndrome, and other respiratory disorders show that the extent of lung fibrosis is associated with a higher mortality, prolonged ventilator dependence, and poorer long-term health prognosis. Current treatments to halt or reverse lung fibrosis are limited; thus, the rapid development of effective antifibrotic therapies is a major global medical need that will continue far beyond the current COVID-19 pandemic. Reproducible fibrosis screening assays with high signal-to-noise ratios and disease-relevant readouts such as extracellular matrix (ECM) deposition (the hallmark of fibrosis) are integral to any antifibrotic therapeutic development. Therefore, we have established an automated high-throughput and high-content primary screening assay measuring transforming growth factor-β (TGFβ)-induced ECM deposition from primary human lung fibroblasts in a 384-well format. This assay combines longitudinal live cell imaging with multiparametric high-content analysis of ECM deposition. Using this assay, we have screened a library of 2743 small molecules representing approved drugs and late-stage clinical candidates. Confirmed hits were subsequently profiled through a suite of secondary lung fibroblast phenotypic screening assays quantifying cell differentiation, proliferation, migration, and apoptosis. In silico target prediction and pathway network analysis were applied to the confirmed hits. We anticipate this suite of assays and data analysis tools will aid the identification of new treatments to mitigate against lung fibrosis associated with COVID-19 and other fibrotic diseases

Structural analysis of spike proteins from SARS-CoV-2 variants of concern highlighting their functional alterations

Aim: Mutations in the SARS-CoV-2 spike (S) protein have dramatically changed the transmissibility and pathogenicity of the virus. Therefore, we studied the binding affinity of Omicron spike-receptor binding domain (S-RBD) with human ACE2 receptor. Materials & methods: We used pyDockWEB and HADDOCK 2.4 docking for our study. Results: Computational docking indicated higher binding affinity of Omicron S-RBD as compared with wild-type SARS-CoV-2 and Delta S-RBD with ACE2. Interface analysis suggested four mutated residues of Omicron S-RBD for its enhanced binding. We also showed decreased binding affinity of Omicron and Delta S-RBDs with monoclonal antibodies. Conclusion: Compared with wild-type SARS-CoV-2, Omicron S-RBD exhibit higher binding with ACE2 and lower affinity against monoclonal antibodies

Towards automated dermatology triage: deep learning and knowledge-driven approaches

Background The current triage process in the National Health Service (NHS) requires secondary care clinicians to manually read every General Practitioner’s (GP) referral letter, which makes the process time-consuming with associated high costs. Artificial Intelligence (AI) algorithms can be adopted to accelerate this process and reduce the required resources. Objectives To design AI models that can automatically stratify GP referrals to routine and non-routine categories, and to evaluate different AI algorithms against the current manual triage process. Methods We developed and evaluated multiple AI models to triage dermatology referrals into binary outcomes, i.e., routine or non-routine. The models ranged from a totally data-driven (deep learning) approach to different levels of knowledge-enriched approaches: 1) a transfer learning approach using a pre-trained large language model; 2) a deep learning model using Long Short-Term Memory architecture, enriched with key concepts from referral guidelines; and 3) a knowledge-driven model utilising the semantics of key concepts from clinical guidelines and customised clinicians’ dictionaries. Random oversampling and data augmentation were used for dealing with highly imbalanced triage classes. All referrals were individually triaged by two dermatologists and then compared against the results generated from AI-assisted triage models. Performances were evaluated using Precision-Recall Area Under Curve (PR-AUC) and Receiver Operating Characteristic Area Under Curve (ROC-AUC). Results 268 GP referrals to adult dermatology services were included. The knowledge-driven approach achieved the best performance (micro average PR-AUC of 0.907±0.006, ROC-AUC of 0.720 ± 0.010) compared to the baseline end-to-end deep learning model (micro average PR-AUC of 0.823±0.038, ROC-AUC of 0.616 ± 0.096) and the Long Short-Term Memory model (0.867±0.013, 0.600 ± 0.071). Imbalance preprocessing methods improved the model performance in some cases but not to a significant level. Combining all types of domain knowledge in AI models outperformed any subsets of these knowledge inputs. Conclusions The knowledge-enhanced AI approach showed promising results in achieving triage outcomes comparable to manual outcomes despite the limited data input from the referrals. AI-assisted triage has the potential to make the triaging process less time-consuming and more cost-effective, whilst retaining accuracy

Optical detection of distal lung enzyme activity in human inflammatory lung disease.

Objective and Impact Statement. There is a need to develop platforms delineating inflammatory biology of the distal human lung. We describe a platform technology approach to detect in situ enzyme activity and observe drug inhibition in the distal human lung using a combination of matrix metalloproteinase (MMP) optical reporters, fibered confocal fluorescence microscopy (FCFM), and a bespoke delivery device. Introduction. The development of new therapeutic agents is hindered by the lack of in vivo in situ experimental methodologies that can rapidly evaluate the biological activity or drug-target engagement in patients. Methods. We optimised a novel highly quenched optical molecular reporter of enzyme activity (FIB One) and developed a translational pathway for in-human assessment. Results. We demonstrate the specificity for matrix metalloproteases (MMPs) 2, 9, and 13 and probe dequenching within physiological levels of MMPs and feasibility of imaging within whole lung models in preclinical settings. Subsequently, in a first-in-human exploratory experimental medicine study of patients with fibroproliferative lung disease, we demonstrate, through FCFM, the MMP activity in the alveolar space measured through FIB One fluorescence increase (with pharmacological inhibition). Conclusion. This translational in situ approach enables a new methodology to demonstrate active drug target effects of the distal lung and consequently may inform therapeutic drug development pathways

An adjudication algorithm for respiratory-related hospitalisation in idiopathic pulmonary fibrosis

Background:There is no standard definition of respiratory-related hospitalisation, a common end-point in idiopathic pulmonary fibrosis (IPF) clinical trials. As diverse aetiologies and complicating comorbidities can present similarly, external adjudication is sometimes employed to achieve standardisation of these events. Methods:An algorithm for respiratory-related hospitalisation was developed through a literature review of IPF clinical trials with respiratory-related hospitalisation as an end-point. Experts reviewed the algorithm until a consensus was reached. The algorithm was validated using data from the phase 3 ISABELA trials (clinicaltrials.gov identifiers NCT03711162 and NCT03733444), by assessing concordance between nonadjudicated, investigator-defined, respiratory-related hospitalisations and those defined by the adjudication committee using the algorithm. Results:The algorithm classifies respiratory-related hospitalisation according to cause: extraparenchymal (worsening respiratory symptoms due to left heart failure, volume overload, pulmonary embolism, pneumothorax or trauma); other (respiratory tract infection, right heart failure or exacerbation of COPD); “definite” acute exacerbation of IPF (AEIPF) (worsening respiratory symptoms within 1 month, with radiological or histological evidence of diffuse alveolar damage); or “suspected” AEIPF (as for “definite” AEIPF, but with no radiological or histological evidence of diffuse alveolar damage). Exacerbations (“definite” or “suspected”) with identified triggers (infective, post-procedural or traumatic, drug toxicity-or aspiration-related) are classed as “known AEIPF”; “idiopathic AEIPF” refers to exacerbations with no identified trigger. In the ISABELA programme, there was 94% concordance between investigator-and adjudication committee-determined causes of respiratory-related hospitalisation. Conclusion:The algorithm could help to ensure consistency in the reporting of respiratory-related hospitalisation in IPF trials, optimising its utility as an end-point.</p

Regulation of Transforming Growth Factor-β1–driven Lung Fibrosis by Galectin-3

Rationale: Idiopathic pulmonary fibrosis (IPF) is a chronic dysregulated response to alveolar epithelial injury with differentiation of epithelial cells and fibroblasts into matrix-secreting myofibroblasts resulting in lung scaring. The prognosis is poor and there are no effective therapies or reliable biomarkers. Galectin-3 is a beta-galactoside binding lectin that is highly expressed in fibrotic tissue of diverse etiologies. Objectives: To examine the role of galectin-3 in pulmonary fibrosis. Methods: We used genetic deletion and pharmacologic inhibition in well-characterized murine models of lung fibrosis. Further mechanistic studies were performed in vitro and on samples from patients with IPF. Measurements and Main Results: Transforming growth factor (TGF)-beta and bleomycin-induced lung fibrosis was dramatically reduced in mice deficient in galectin-3, manifest by reduced TGF-beta 1 induced EMT and myofibroblast activation and collagen production. Galectin-3 reduced phosphorylation and nuclear translocation of beta-catenin but had no effect on Smad2/3 phosphorylation. A novel inhibitor of galectin -3, TD139, blocked TGF-beta-induced beta-catenin activation in vitro and in vivo and attenuated the late-stage progression of lung fibrosis after bleomycin. There was increased expression of galectin-3 in the bronchoalveolar lavage fluid and serum from patients with stable IPF compared with nonspecific interstitial pneumonitis and controls, which rose sharply during an acute exacerbation suggesting that. galectin-3 may be a marker of active fibrosis in IPF and that strategies that block galectin-3 may be effective in treating acute fibrotic exacerbations of IPF. Conclusions: This study identifies galectin-3 as an important regulator of lung fibrosis and provides a proof of principle for galectin-3 inhibition as a potential novel therapeutic strategy for IPF

In situ identification of Gram-negative bacteria in human lungs using a topical fluorescent peptide targeting lipid A

Acknowledgment to AAAS for publishing this manuscript with DOI 10.1126/scitranslmed.aal0033 https://www.science.org/doi/10.1126/scitranslmed.aal0033Respiratory infections in mechanically ventilated patients caused by Gram-negative bacteria are a major cause of morbidity. Rapid and unequivocal determination of the presence, localization, and abundance of bacteria is criti cal for positive resolution of the infections and could be used for patient stratification and for monitoring treat ment efficacy. Here, we developed an in situ approach to visualize Gram-negative bacterial species and cellular infiltrates in distal human lungs in real time. We used optical endomicroscopy to visualize a water-soluble optical imaging probe based on the antimicrobial peptide polymyxin conjugated to an environmentally sensitive fluoro phore. The probe was chemically stable and nontoxic and, after in-human intrapulmonary microdosing, enabled the specific detection of Gram-negative bacteria in distal human airways and alveoli within minutes. The results suggest that pulmonary molecular imaging using a topically administered fluorescent probe targeting bacterial lipid A is safe and practical, enabling rapid in situ identification of Gram-negative bacteria in humans.This work was supported by Wellcome Trust, the Department of Health Healthcare Innovation Challenge Fund (HICF-0510-069), and the Engineering and Physical Sciences Research Council Interdisciplinary Research Collaboration “Proteus” (EP/K03197X/1). The GMP activities were supported by the National Institute for Health Research (NIHR) BRC GMP Unit at Guy’s and St. Thomas’ NHS Foundation Trust and NIHR Biomedical Research Centre based at Guy’s and St. Thomas’ NHS Foundation Trust and King’s College London

Intrapulmonary Autoantibodies to HSP72 Are Associated with Improved Outcomes in IPF

Rationale. Idiopathic pulmonary fibrosis (IPF) is a progressive fibrotic interstitial lung disease, with high mortality. Currently, the aetiology and the pathology of IPF are poorly understood, with both innate and adaptive responses previously being implicated in the disease pathogenesis. Heat shock proteins (Hsp) and antibodies to Hsp in patients with IPF have been suggested as therapeutic targets and prognostic biomarkers, respectively. We aimed to study the relationship between the expression of Hsp72 and anti-Hsp72 antibodies in the BAL fluid and serum Aw disease progression in patients with IPF. Methods. A novel indirect ELISA to measure anti-Hsp72 IgG was developed and together with commercially available ELISAs used to detect Hsp72 IgG, Hsp72 IgGAM, and Hsp72 antigen, in the serum and BALf of a cohort of IPF (n=107) and other interstitial lung disease (ILD) patients (n=66). Immunohistochemistry was used to detect Hsp72 in lung tissue. The cytokine expression from monocyte-derived macrophages was measured by ELISA. Results. Anti-Hsp72 IgG was detectable in the serum and BALf of IPF (n=107) and other ILDs (n=66). Total immunoglobulin concentrations in the BALf showed an excessive adaptive response in IPF compared to other ILDs and healthy controls (p=0.026). Immunohistochemistry detection of C4d and Hsp72 showed that these antibodies may be targeting high expressing Hsp72 type II alveolar epithelial cells. However, detection of anti-Hsp72 antibodies in the BALf revealed that increasing concentrations were associated with improved patient survival (adjusted HR 0.62, 95% CI 0.45-0.85; p=0.003). In vitro experiments demonstrate that anti-Hsp72 complexes stimulate macrophages to secrete CXCL8 and CCL18. Conclusion. Our results indicate that intrapulmonary anti-Hsp72 antibodies are associated with improved outcomes in IPF. These may represent natural autoantibodies, and anti-Hsp72 IgM and IgA may provide a beneficial role in disease pathogenesis, though the mechanism of action for this has yet to be determined

Oxygen levels determine the ability of glucocorticoids to influence neutrophil survival in inflammatory environments

GCs are highly effective in treating a wide range of inflammatory diseases but are limited in their ability to control neutrophilic lung inflammation in conditions such as COPD. Neutrophil apoptosis, a central feature of inflammation resolution, is delayed in response to microenvironmental cues, such as hypoxia and inflammatory cytokines, present at inflamed sites. GCs delay neutrophil apoptosis in vitro, and this may therefore limit the ability of GCs to control neutrophilic inflammation. This study assesses the effect GCs have on hypoxia- and inflammatory cytokine-induced neutrophil survival. Human neutrophils were treated with GCs in the presence or absence of GM-CSF or inflammatory macrophage-CM at a range of oxygen concentrations (21–1% oxygen). Neutrophil apoptosis and survival were assessed by flow cytometry and morphological analysis and neutrophil function, by stimulus-induced shape change and respiratory burst. Dexamethasone promoted neutrophil survival at 21%, 10%, and 5% oxygen but not at 1% oxygen. Interestingly, GM-CSF and inflammatory CM increased neutrophil survival significantly, even at 1% oxygen, with cells remaining functionally active at 96 h. Dexamethasone was able to reduce the prosurvival effect of GM-CSF and inflammatory CM in a hypoxic environment. In conclusion, we found that GCs do not augment neutrophil survival in the presence of severe hypoxia or proinflammatory mediators. This suggests that GCs would not promote neutrophil survival at sites of inflammation under these conditions