9 research outputs found

    Global Lung Initiative equations for pulmonary hypertension screening in systemic sclerosis

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    GLI equations provide new cut-offs for TLCO for detection of PH in patients with SSc, either with or without IL

    Inhaled nitric oxide decreases pulmonary endothelial nitric oxide synthase expression and activity in normal newborn rat lungs

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    Inhaled nitric oxide (iNO) is commonly used in the treatment of very ill pre-term newborns. Previous studies showed that exogenous NO could affect endothelial NO synthase (eNOS) activity and expression in vascular endothelial cell cultures or adult rat models, but this has never been fully described in newborn rat lungs. We therefore aimed to assess the effects of iNO on eNOS expression and activity in newborn rats. Rat pups, post-natal day (P) 0 to P7, and their dams were placed in a chamber containing NO at 5 ppm (iNO-5 ppm group) or 20 ppm (iNO-20 ppm group), or in room air (control group). Rat pups were sacrificed at P7 and P14 for evaluation of lung eNOS expression and activity. At P7, eNOS protein expression in total lung lysates, in bronchial and arterial sections, was significantly decreased in the iNO-20 ppm versus control group. At P14, eNOS expression was comparable among all three groups. The amounts of eNOS mRNA significantly differed at P7 between the iNO-20 ppm and control groups. NOS activity decreased in the iNO-20 ppm group at P7 and returned to normal levels at P14. There was an imbalance between superoxide dismutase and NOS activities in the iNO-20 ppm group at P7. Inhalation of NO at 20 ppm early after birth decreases eNOS gene transcription, protein expression and enzyme activity. This decrease might account for the rebound phenomenon observed in patients treated with iNO

    Recovery of Endothelium-dependent vascular relaxation impairment in convalescent COVID-19 patients: Insight from a pilot study

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    International audienceBackground: Endothelial dysfunction is a key-feature in acute COVID-19. However, follow-up data regarding endothelial dysfunction and injury after COVID-19 infection are lacking. We aimed to investigate the changes in endothelium-dependent vasorelaxation at baseline and four months after hospital discharge in COVID-19 patients.Methods: Twenty COVID-19 patients were compared to 24 healthy controls. Clinical and morphological data were collected after hospital admission for SARS-CoV-2 infection and reactive hyperaemia index (RHI) measurement was performed with a delay between 24 and 48 h after hospital admission and four months after hospital discharge in the outpatient clinics. Blood tests including inflammatory markers and measurement of post-occlusive vasorelaxation by digital peripheral arterial tonometry were performed at both visits.Results: At baseline, COVID-19 patients exhibited reduced RHI compared to controls (p 11%) had less severe systemic inflammation at baseline.Conclusion: Convalescent COVID-19 patients showed a recovery of systemic artery endothelial dysfunction, in particular patients with lower inflammation at baseline. Further studies are needed to decipher the interplay between inflammation and endothelial dysfunction in COVID-19 patient

    Distal Lung Inflammation Assessed by Alveolar Concentration of Nitric Oxide Is an Individualised Biomarker of Severe COVID-19 Pneumonia

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    Pulmonary sequelae as assessed by pulmonary function tests (PFTs) are often reported in patients infected by SARS-CoV-2 during the post-COVID-19 period. Little is known, however, about the status of pulmonary inflammation during clinical recovery after patients’ discharge from the hospitals. We prospectively measured PFTs coupled with the exhaled nitric oxide (NO) stemming from the proximal airways (FeNO) and the distal lung (CaNO) in 169 consecutive patients with varying degrees of the severity of COVID-19 six weeks to one year after acute infection by SARS-CoV-2. The proportions of patients with abnormal PFTs, defined as the presence of either obstructive/restrictive patterns or impaired lung gas transfer, or both, increased with the severity of the initial lung disease (15, 30, and 52% in patients with mild, moderate, and severe COVID-19). FeNO values remained within normal ranges and did not differ between the three groups of patients. CaNO, however, was significantly higher in patients with severe or critical COVID-19, compared with patients with milder forms of the disease. There was also an inverse relationship between CaNO and DLCO. We conclude that the residual inflammation of the distal lung is still present in the post-COVID-19 follow-up period, in particular, in those patients with an initially severe form of COVID-19. This long-lasting alveolar inflammation might contribute to the long-term development of pulmonary fibrosis and warrants the regular monitoring of exhaled NO together with PFTs in patients with COVID-19

    Macrophage Migration Inhibitory Factor (MIF) Inhibition in a Murine Model of Bleomycin-Induced Pulmonary Fibrosis

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    Background: Pulmonary hypertension (PH) is a common complication of idiopathic pulmonary fibrosis (IPF) that significantly contributes to morbidity and mortality. Macrophage migration inhibitory factor (MIF) is a critical factor in vascular remodeling of the pulmonary circulation. Objectives: We tested the effects of two small molecules targeting MIF on bleomycin (BLM)-induced collagen deposition, PH, and vascular remodeling in mouse lungs. Methods: We examined the distribution pattern of MIF, CD74, and CXCR4 in the lungs of patients with IPF-PH and the lungs of BLM-injected mice. Then, treatments were realized with (S,R)-3-(4-hydroxyphenyl)-4,5-dihydro-5-isoxazole acetic acid methyl ester (ISO-1) and N-(3-hydroxy-4-fluorobenzyl)-5 trifluoromethylbenzoxazol-2-thione 31 (20 mg/kg/day per os for 3 weeks) started 24 h after an intratracheal BLM administration. Results: More intense immunoreactivity was noted for MIF, CD74, and CXCR4 in lungs from IPF-PH patients and BLM-injected mice. Furthermore, we found that treatments of BLM-injected mice with ISO-1 or compound 31 attenuated lung collagen deposition and right ventricular systolic pressure increase. Additionally, reduced pulmonary inflammatory infiltration and pulmonary arterial muscularization were observed in the lungs of BLM-injected mice treated with ISO-1 or compound 31. Conclusions: Treatments with ISO-1 or compound 31 attenuates BLM-induced inflammation and fibrosis in lung, and prevents PH development in mice, suggesting that MIF is an important factor for IPF-PH development

    Combined measurement of carbon monoxide and nitric oxide lung transfer does not improve the identification of pulmonary hypertension in systemic sclerosis

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    International audienceScreening is important to determine whether patients with systemic sclerosis (SSc) have pulmonary hypertension because earlier pulmonary hypertension treatment can improve survival in these patients. Although decreased transfer factor of the lung for carbon monoxide ( T LCO ) is currently considered the best pulmonary function test for screening for pulmonary hypertension in SSc, small series have suggested that partitioning T LCO into membrane conductance (diffusing capacity) for carbon monoxide ( D MCO ) and alveolar capillary blood volume ( V C ) through combined measurement of T LCO and transfer factor of the lung for nitric oxide ( T LNO ) is more effective to identify pulmonary hypertension in SSc patients compared with T LCO alone. Here, the objective was to determine whether combined T LCO – T LNO partitioned with recently refined equations could more accurately detect pulmonary hypertension than T LCO alone in SSc. For that purpose, 572 unselected consecutive SSc patients were retrospectively recruited in seven French centres. Pulmonary hypertension was diagnosed with right heart catheterisation in 58 patients. T LCO , T LNO and V C were all lower in SSc patients with pulmonary hypertension than in SSc patients without pulmonary hypertension. The area under the receiver operating characteristic curve for the presence of pulmonary hypertension was equivalent for T LCO (0.82, 95% CI 0.79–0.85) and T LNO (0.80, 95% CI 0.76–0.83), but lower for V C (0.75, 95% CI 0.71–0.78) and D MCO (0.66, 95% CI 0.62–0.70). Compared with T LCO alone, combined T LCO – T LNO does not add capability to detect pulmonary hypertension in unselected SSc patients

    Deep Learning–based Approach for Automated Assessment of Interstitial Lung Disease in Systemic Sclerosis on CT Images

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    International audienceAbstract :The reported deep learning–based method can be used to evaluate the extent of interstitial lung disease in systemic sclerosis with results comparable to those of radiologists.Purpose :To develop a deep learning algorithm for the automatic assessment of the extent of systemic sclerosis (SSc)–related interstitial lung disease (ILD) on chest CT images.Materials and Methods :This retrospective study included 208 patients with SSc (median age, 57 years; 167 women) evaluated between January 2009 and October 2017. A multicomponent deep neural network (AtlasNet) was trained on 6888 fully annotated CT images (80% for training and 20% for validation) from 17 patients with no, mild, or severe lung disease. The model was tested on a dataset of 400 images from another 20 patients, independently partially annotated by three radiologist readers. The ILD contours from the three readers and the deep learning neural network were compared by using the Dice similarity coefficient (DSC). The correlation between disease extent obtained from the deep learning algorithm and that obtained by using pulmonary function tests (PFTs) was then evaluated in the remaining 171 patients and in an external validation dataset of 31 patients based on the analysis of all slices of the chest CT scan. The Spearman rank correlation coefficient (ρ) was calculated to evaluate the correlation between disease extent and PFT results.Results :The median DSCs between the readers and the deep learning ILD contours ranged from 0.74 to 0.75, whereas the median DSCs between contours from radiologists ranged from 0.68 to 0.71. The disease extent obtained from the algorithm, by analyzing the whole CT scan, correlated with the diffusion lung capacity for carbon monoxide, total lung capacity, and forced vital capacity (ρ = −0.76, −0.70, and −0.62, respectively; P < .001 for all) in the dataset for the correlation with PFT results. The disease extents correlated with diffusion lung capacity for carbon monoxide, total lung capacity, and forced vital capacity were ρ = −0.65, −0.70, and −0.57, respectively, in the external validation dataset (P < .001 for all).Conclusion :The developed algorithm performed similarly to radiologists for disease-extent contouring, which correlated with pulmonary function to assess CT images from patients with SSc-related ILD
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