Nintedanib: a review of the properties, function, and usefulness to minimize COVID-19-induced lung injury

Coinfection of viruses in children with community-acquired pneumonia

BACKGROUND

Virus, particularly respiratory tract virus infection is likely to co-occur in children with community-acquired pneumonia (CAP). Study focusing on the association between common viruses coinfection and children with CAP is rare. We aimed to study the association between seven common viruses coinfection and clinical/laboratory indexes in children with CAP.

METHODS

Six hundred and eighty-four CAP cases from our hospital were enrolled retrospectively. Seven common viruses, including influenza A (FluA), influenza B (FluB), human parainfluenza virus (HPIV), Esptein-Barr virus (EBV), coxsackie virus (CoxsV), cytomegalovirus (CMV), and herpes simplex virus (HSV) were investigated for their associations with CAP. We analyzed the differences of hospitalization days, white blood cell (WBC), c-reactive protein (CRP), platelet (PLT), erythrocyte sedimentation rate (ESR), procalcitonin (PCT), urine red blood cell (uRBC), blood urea nitrogen (BUN), serum creatinine (Scr), alanine aminotransferase (ALT), aspartate aminotransferase (AST), lactate dehydrogenase (LDH), creatine kinase (CK) and creatine kinase isoenzyme (CKMB) among different viruses coinfection groups by using one-way ANOVA analysis. The differences of clinical/laboratory indexes between ordinary and severe pneumonia groups, as well as non-virus vs multi co-infection viruses groups, and single vs multi co-infection viruses groups by using independent samples T test. Receiver operating characteristic (ROC) curve analyses were applied to test the the predictive value of the clinical/laboratory parameters for the risk of viruses coinfections among CAP. Binary logistic analysis was performed to test the association between various indexes and viruses co-infection.

RESULTS

Eighty-four multiple viruses coinfections yielded different prognosis compared with that in 220 single virus coinfection. CMV coinfection was associated with longest hospitalization days, highest ALT, AST and CKMB level. HSV coinfection was associated with highest WBC count, CRP, ESR, and BUN. EBV coinfection was associated with highest PLT and PCT level. FluB coinfection was associated with highest Scr level. CoxsV coinfection was associated with highest uRBC, LDH and CK level. ROC curve analyses showed that CK had the largest area under the curve (AUC: 0.672, p < 10-4) for the risk of viruses coinfections risk in CAP. Significant association between PLT, uRBC, BUN, CK, and CKMB and virus coinfection risk in CAP was observed.

CONCLUSIONS

Multiple viruses coinfections indicated different prognosis. Different viruses coinfection yielded varying degrees of effects on the cardiac, liver, kidney and inflamatory injury in CAP. The alterations of clinical/laboratory parameters, particularly CK may be associated with the risk of viruses coinfections in CAP.

Strengthening pharmacotherapy research for COVID-19-induced pulmonary fibrosis

The global spread of severe acute respiratory syndrome coronavirus 2 has resulted in a significant number of individuals developing pulmonary fibrosis (PF), an irreversible lung injury. This condition can manifest within a short interval following the onset of pneumonia symptoms, sometimes even within a few days. While lung transplantation is a potentially lifesaving procedure, its limited availability, high costs, intricate surgeries, and risk of immunological rejection present significant drawbacks. The optimal timing of medication administration for coronavirus disease 2019 (COVID-19)-induced PF remains controversial. Despite this, it is crucial to explore pharmacotherapy interventions, involving early and preventative treatment as well as pharmacotherapy options for advanced-stage PF. Additionally, studies have demonstrated disparities in anti-fibrotic treatment based on race and gender factors. Genetic mutations may also impact therapeutic efficacy. Enhancing research efforts on pharmacotherapy interventions, while considering relevant pharmacological factors and optimizing the timing and dosage of medication administration, will lead to enhanced, personalized, and fair treatment for individuals impacted by COVID-19-related PF. These measures are crucial in lessening the burden of the disease on healthcare systems and improving patients' quality of life.

Umbilical cord mesenchymal stem cells overexpressing CXCR7 facilitate treatment of ARDS-associated pulmonary fibrosis via inhibition of Notch/Jag1 mediated by the Wnt/β-catenin pathway

The therapeutic efficacy of umbilical cord mesenchymal stem cells (UCMSCs) in acute respiratory distress syndrome (ARDS) is mainly limited by the efficiency of homing of UCMSCs toward tissue damage. C-X-C chemokine receptor type 7 (CXCR7), which is involved in the mobilization of UCMSCs, is only expressed on the surface of a small proportion of UCMSCs. This study examined whether overexpression of CXCR7 in UCMSCs (UCMSCsOE-CXCR7) could improve their homing efficiency, and therefore, improve their effectiveness in fibrosis repair at the site of lung injury caused by ARDS. A lentiviral vector expressing CXCR7 was built and then transfect into UCMSCs. The impacts of CXCR7 expression of the proliferationand homing of UCMSCs were examined in a lipopolysaccharide-induced ARDS mouse model. The potential role and underlying mechanism of CXCR7 were examined by performing scratch assays, transwell assays, and immunoassays. The therapeutic dose and treatment time of UCMSCsOE-CXCR7 were directly proportional to their therapeutic effect on lung injury. In addition, overexpression of CXCR7 increased SDF-1-induced proliferation and migration of lung epithelial cells (Base-2b cells), and upregulation of CXCR7 inhibited α-SMA expression, suggesting that CXCR7 may have a role in alleviating pulmonary fibrosis caused by ARDS. Overexpression of CXCR7 in UCMSCs may improve their therapeutic effect of acute lung injury mouse, The mechanism of fibrosis repair by CXCR7 is inhibition of Jag1 via suppression of the Wnt/β-catenin pathway under the chemotaxis of SDF-1.

Post-COVID-19 interstitial lung disease: Insights from a machine learning radiographic model

Introduction

Post-acute sequelae of COVID-19 seem to be an emerging global crisis. Machine learning radiographic models have great potential for meticulous evaluation of post-COVID-19 interstitial lung disease (ILD).

Methods

In this multicenter, retrospective study, we included consecutive patients that had been evaluated 3 months following severe acute respiratory syndrome coronavirus 2 infection between 01/02/2021 and 12/5/2022. High-resolution computed tomography was evaluated through Imbio Lung Texture Analysis 2.1.

Results

Two hundred thirty-two (n = 232) patients were analyzed. FVC% predicted was ≥80, between 60 and 79 and <60 in 74.2% (n = 172), 21.1% (n = 49), and 4.7% (n = 11) of the cohort, respectively. DLCO% predicted was ≥80, between 60 and 79 and <60 in 69.4% (n = 161), 15.5% (n = 36), and 15.1% (n = 35), respectively. Extent of ground glass opacities was ≥30% in 4.3% of patients (n = 10), between 5 and 29% in 48.7% of patients (n = 113) and <5% in 47.0% of patients (n = 109). The extent of reticulation was ≥30%, 5-29% and <5% in 1.3% (n = 3), 24.1% (n = 56), and 74.6% (n = 173) of the cohort, respectively. Patients (n = 13, 5.6%) with fibrotic lung disease and persistent functional impairment at the 6-month follow-up received antifibrotics and presented with an absolute change of +10.3 (p = 0.01) and +14.6 (p = 0.01) in FVC% predicted at 3 and 6 months after the initiation of antifibrotic.

Conclusion

Post-COVID-19-ILD represents an emerging entity. A substantial minority of patients presents with fibrotic lung disease and might experience benefit from antifibrotic initiation at the time point that fibrotic-like changes are "immature." Machine learning radiographic models could be of major significance for accurate radiographic evaluation and subsequently for the guidance of therapeutic approaches.