Publications by authors named "Vibha Lama"

Tissue fibrosis remains unamenable to meaningful therapeutic interventions and is the primary cause of chronic graft failure after organ transplantation. Eukaryotic translation initiation factor (eIF4E), a key translational regulator, serves as convergent target of multiple upstream profibrotic signaling pathways that contribute to mesenchymal cell (MC) activation. Here, we investigate the role of MAP kinase-interacting serine/threonine kinase-induced (MNK-induced) direct phosphorylation of eIF4E at serine 209 (Ser209) in maintaining fibrotic transformation of MCs and determine the contribution of the MNK/eIF4E pathway to the pathogenesis of chronic lung allograft dysfunction (CLAD).

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Background: Chronic lung allograft dysfunction (CLAD) is the leading long-term cause of poor outcomes after transplant and manifests by fibrotic remodeling of small airways and/or pleuroparenchymal fibroelastosis. This study evaluated the effect of pirfenidone on quantitative radiographic and pulmonary function assessment in patients with CLAD.

Methods: We performed a single-center, 6-month, randomized, placebo-controlled trial of pirfenidone in patients with CLAD.

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Chronic lung allograft dysfunction (CLAD) is the leading cause of death after lung transplant, and azithromycin has variable efficacy in CLAD. The lung microbiome is a risk factor for developing CLAD, but the relationship between lung dysbiosis, pulmonary inflammation, and allograft dysfunction remains poorly understood. Whether lung microbiota predict outcomes or modify treatment response CLAD is unknown.

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Article Synopsis
  • Primary graft dysfunction (PGD) is a significant cause of complications and mortality after lung transplants, and predicting its risk can help in donor selection and patient care planning.
  • Researchers created a predictive model using data from a study conducted between 2012 and 2018, which evaluated various clinical factors to forecast the risk of PGD and developed a user-friendly interface for real-time assessments.
  • The model incorporates numerous variables like distance from the donor hospital, recipient characteristics, and donor factors, showing a net benefit for decision-making in predicting PGD risk across different levels, making it a valuable tool for transplantation processes.
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Purpose: People living with cystic fibrosis (CF) experience impaired quality of life, but the extent to which pulmonary function is associated with quality of life in CF remains unclear METHODS: Using baseline data from a trial of specialist palliative care in adults with CF, we examined the association between pulmonary obstruction and quality of life (measured with the Functional Assessment of Chronic Illness Therapy Total Score).

Results: Among 262 participants, median age was 33, and 78% were on modulator therapy. The median quality of life score was higher in those with mild obstruction (135, IQR 110-156) compared to moderate (125, IQR 109-146) and severe obstruction (120, IQR 106-136).

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  • Idiopathic pulmonary fibrosis (IPF) is characterized by ongoing tissue damage and scarring in the lungs, driven by persistent activation of mesenchymal cells related to various signaling pathways.
  • The study focuses on the role of the transcription factor NFAT1, which controls a key profibrotic mediator (autotaxin) in lung mesenchymal cells, finding that mice lacking NFAT1 have improved survival and less lung fibrosis after injury.
  • The research indicates that NFAT1 activates profibrotic processes in IPF and suggests it could be a potential target for therapeutic intervention in treating the disease.
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  • - The assessment of donor lungs for transplantation is mostly subjective and varies greatly, lacking standardized criteria; researchers explored using a CT-based machine learning algorithm to evaluate donor lungs before surgery.
  • - The study collected clinical data and CT scans from 100 cases, training a machine learning method called dictionary learning to identify specific image patterns related to lung health.
  • - The algorithm successfully detected lung abnormalities, highlighting patients with a higher risk of complications post-transplant and emphasizing the need for objective screening methods as the use of less-than-ideal donor lungs increases.
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Primary graft dysfunction (PGD) is the leading cause of early morbidity and mortality after lung transplantation. Prior studies implicated proxy-defined donor smoking as a risk factor for PGD and mortality. We aimed to more accurately assess the impact of donor smoke exposure on PGD and mortality using quantitative smoke exposure biomarkers.

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Background: Assessment and selection of donor lungs remains largely subjective and experience based. Criteria to accept or decline lungs are poorly standardized and are not compliant with the current donor pool. Using ex vivo CT images, we investigated the use of a CT-based machine learning algorithm for screening donor lungs prior to transplantation.

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Background: Small airway inflammation and fibrosis or bronchiolitis obliterans (BO) is the predominant presentation of chronic lung allograft dysfunction (CLAD) post-lung transplantation. Carbon monoxide (CO) is a critical endogenous signaling transducer with known anti-inflammatory and anti-fibrotic effects but its therapeutic potential in CLAD remains to be fully elucidated.

Methods: Here we investigate the effect of inhaled CO in modulating chronic lung allograft rejection pathology in a murine orthotopic lung transplant model of BO (B6D2F1/J→DBA/2J).

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Background: We sought to describe trends in extracorporeal membrane oxygenation (ECMO) use, and define the impact on PGD incidence and early mortality in lung transplantation.

Methods: Patients were enrolled from August 2011 to June 2018 at 10 transplant centers in the multi-center Lung Transplant Outcomes Group prospective cohort study. PGD was defined as Grade 3 at 48 or 72 hours, based on the 2016 PGD ISHLT guidelines.

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CD55 or decay accelerating factor (DAF), a ubiquitously expressed glycosylphosphatidylinositol (GPI)-anchored protein, confers a protective threshold against complement dysregulation which is linked to the pathogenesis of idiopathic pulmonary fibrosis (IPF). Since lung fibrosis is associated with downregulation of DAF, we hypothesize that overexpression of DAF in fibrosed lungs will limit fibrotic injury by restraining complement dysregulation. Normal primary human alveolar type II epithelial cells (AECs) exposed to exogenous complement 3a or 5a, and primary AECs purified from IPF lungs demonstrated decreased membrane-bound DAF expression with concurrent increase in the endoplasmic reticulum (ER) stress protein, ATF6.

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Background: SARS-CoV-2-related ARDS is associated with endothelial dysfunction and profound dysregulation of the thrombotic-fibrinolytic pathway. Defibrotide is a polyanionic compound with fibrinolytic, antithrombotic, and antiinflammatory properties.

Research Question: What is the safety and tolerability of defibrotide in patients with severe SARS-CoV-2 infections?

Study Design And Methods: We report a prospective, open-label, single-center safety trial of defibrotide for the management of SARS-CoV-2-related ARDS.

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Chronic rejection of lung allografts has two major subtypes, bronchiolitis obliterans syndrome (BOS) and restrictive allograft syndrome (RAS), which present radiologically either as air trapping with small airways disease or with persistent pleuroparenchymal opacities. Parametric response mapping (PRM), a computed tomography (CT) methodology, has been demonstrated as an objective readout of BOS and RAS and bears prognostic importance, but has yet to be correlated to biological measures. Using a topological technique, we evaluate the distribution and arrangement of PRM-derived classifications of pulmonary abnormalities from lung transplant recipients undergoing redo-transplantation for end-stage BOS (N = 6) or RAS (N = 6).

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Histopathologic evidence of deployment-related constrictive bronchiolitis (DRCB) has been identified in soldiers deployed to Southwest Asia. While inhalational injury to the airway epithelium is suspected, relatively little is known about the pathogenesis underlying this disabling disorder. Club cells are local progenitors critical for repairing the airway epithelium after exposure to various airborne toxins, and a prior study using an inducible transgenic murine model reported that 10 days of sustained targeted club cell injury causes constrictive bronchiolitis.

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In this study, we demonstrate that forkhead box F1 (FOXF1), a mesenchymal transcriptional factor essential for lung development, was retained in a topographically distinct mesenchymal stromal cell population along the bronchovascular space in an adult lung and identify this distinct subset of collagen-expressing cells as key players in lung allograft remodeling and fibrosis. Using Foxf1-tdTomato BAC (Foxf1-tdTomato) and Foxf1-tdTomato Col1a1-GFP mice, we show that Lin-Foxf1+ cells encompassed the stem cell antigen 1+CD34+ (Sca1+CD34+) subset of collagen 1-expressing mesenchymal cells (MCs) with a capacity to generate CFU and lung epithelial organoids. Histologically, FOXF1-expressing MCs formed a 3D network along the conducting airways; FOXF1 was noted to be conspicuously absent in MCs in the alveolar compartment.

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Chronic lung allograft dysfunction (CLAD) results in significant morbidity after lung transplantation. Potential CLAD occurs when lung function declines to 80-90% of baseline. Better noninvasive tools to prognosticate at potential CLAD are needed.

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Background: Previous studies have reported similarities in long-term outcomes following lung transplantation for connective tissue disease-associated interstitial lung disease (CTD-ILD) and idiopathic pulmonary fibrosis (IPF). However, it is unknown whether CTD-ILD patients are at increased risk of primary graft dysfunction (PGD), delays in extubation, or longer index hospitalizations following transplant compared to IPF patients.

Methods: We performed a multicenter retrospective cohort study of CTD-ILD and IPF patients enrolled in the Lung Transplant Outcomes Group registry who underwent lung transplantation between 2012 and 2018.

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Background: Alterations in the respiratory microbiome are common in chronic lung diseases, correlate with decreased lung function, and have been associated with disease progression. The clinical significance of changes in the respiratory microbiome after lung transplant, specifically those related to development of chronic lung allograft dysfunction (CLAD), are unknown. The aim of this study was to evaluate the effect of lung microbiome characteristics in healthy lung transplant recipients on subsequent CLAD-free survival.

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Article Synopsis
  • FOXF1 is a transcription factor that helps regulate lung mesenchymal stromal cells (LR-MSCs) and is found in lower levels in fibrotic cells compared to non-fibrotic ones.
  • Silencing FOXF1 increases the migratory ability of LR-MSCs by upregulating genes involved in proliferation and inflammation, as well as enhancing the activity of Autotaxin (ATX).
  • FOXF1 represses ATX through specific binding sites in its promoter, and the promotion of LR-MSC migration due to FOXF1 loss can be counteracted by inhibiting ATX and its receptor, LPA1.
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  • Understanding the mechanisms behind allograft fibrosis and chronic graft failure is crucial for improving transplant outcomes, particularly in cases of restrictive allograft syndrome (RAS).
  • Researchers used a specific lung transplant model to show that humoral immune responses, especially involving B cells, play a significant role in developing RAS.
  • Findings indicated that blocking B cell activity reduced fibrosis in lung allografts, suggesting targeted therapies could improve management of different types of chronic lung allograft dysfunction.
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  • Histopathologic studies indicate that chronic lung allograft dysfunction (CLAD) involves inflammation from mononuclear cells (MNC) and growth from mesenchymal cells (MC), with interleukin 6 (IL-6) playing a key role in their interaction.
  • Analysis of bronchoalveolar lavage fluid shows that IL-6 and its receptor levels are significantly higher in CLAD-affected lungs compared to before the onset of the disease.
  • Research suggests that MNCs increase IL-6 production when interacting with MCs, leading to enhanced MC activity and fibrosis, while experiments on mice demonstrate that blocking IL-6 can significantly reduce lung fibrosis.
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Idiopathic pulmonary fibrosis (IPF) is a progressive and heterogeneous interstitial lung disease of unknown origin with a low survival rate. There are few treatment options available due to the fact that mechanisms underlying disease progression are not well understood, likely because they arise from dysregulation of complex signaling networks spanning multiple tissue compartments. To better characterize these networks, we used systems-focused data-driven modeling approaches to identify cross-tissue compartment (blood and bronchoalveolar lavage) and temporal proteomic signatures that differentiated IPF progressors and non-progressors.

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Background: Chronic lung allograft dysfunction (CLAD), the primary cause of poor outcome after lung transplantation, arises from fibrotic remodeling of the allograft and presents as diverse clinical phenotypes with variable courses. Here, we investigate whether bronchoalveolar lavage (BAL) mesenchymal cell activity at CLAD onset can inform regarding disease phenotype, progression, and survival.

Methods: Mesenchymal cell colony-forming units (CFUs) were measured in BAL obtained at CLAD onset (n = 77) and CLAD-free time post-transplant matched controls (n = 77).

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Parametric response mapping (PRM) is a novel computed tomography (CT) technology that has shown potential for assessment of bronchiolitis obliterans syndrome (BOS) after hematopoietic stem cell transplantation (HCT). The primary aim of this study was to evaluate whether variations in image acquisition under real-world conditions affect the PRM measurements of clinically diagnosed BOS. CT scans were obtained retrospectively from 72 HCT recipients with BOS and graft-versus-host disease from Fred Hutchinson Cancer Research Center, Karolinska Institute, and the University of Michigan.

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