10th Anniversary of Biomedicines – Therapeutic Targeting of Cellular Quality Control Mechanisms in Chronic Lung Diseases

A special issue of Biomedicines (ISSN 2227-9059). This special issue belongs to the section "Cell Biology and Pathology".

Deadline for manuscript submissions: closed (15 November 2022) | Viewed by 2368

Special Issue Editor


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Guest Editor
German Center for Lung Research (DZL), Universities of Giessen and Marburg Lung Center (UGMLC), Klinikstr. 33, 35392 Giessen, Germany
Interests: lung fibrosis; autophagy

Special Issue Information

Dear Colleagues,

Efforts to understand human lung physiology have led to much rewarding progress in the last century. The identification of the relevant mechanisms underlying several lung pathologies has been a vital part of this progress. In this context, we have witnessed that the quality assurance mechanisms of a cell play vital roles in maintaining a strict balance between cell survival and cell death, as well as to systematically respond to external and internal stress, thereby deciding the pathological consequences of various lung diseases. Such quality control already begins at the level of cellular organelles, namely, the endoplasmic reticulum (ER), mitochondria, the proteasome or the lysosome, but all these mechanisms converge into two major cellular surveillance systems: the ubiquitin–proteasome system (UPS) and the autophagy–lysosome pathway.

Considerable efforts are being directed towards understanding how therapeutic interventions can be planned to target such quality control mechanisms in chronic lung diseases. We appreciate such studies in cellular, pre-clinical or clinical models of chronic lung diseases and encourage investigators to submit original research articles as well as review articles focusing on:

1. Identification of genes or gene products involved in cellular quality control mechanisms that could be exploited for novel therapeutic interventions;

2. Identification of novel pharmacological/small molecules that target one or more of the quality control pathways.

Dr. Poornima Mahavadi
Guest Editor

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Published Papers (1 paper)

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Research

17 pages, 22202 KiB  
Article
Blood Neutrophil Counts Define Specific Clusters of Bronchiectasis Patients: A Hint to Differential Clinical Phenotypes
by Xuejie Wang, Casilda Olveira, Rosa Girón, Marta García-Clemente, Luis Máiz, Oriol Sibila, Rafael Golpe, Rosario Menéndez, Juan Rodríguez-López, Concepción Prados, Miguel Angel Martinez-García, Juan Luis Rodriguez, David de la Rosa, Liyun Qin, Xavier Duran, Jordi Garcia-Ojalvo and Esther Barreiro
Biomedicines 2022, 10(5), 1044; https://0-doi-org.brum.beds.ac.uk/10.3390/biomedicines10051044 - 30 Apr 2022
Cited by 8 | Viewed by 1938
Abstract
We sought to investigate differential phenotypic characteristics according to neutrophil counts, using a biostatistics approach in a large-cohort study from the Spanish Online Bronchiectasis Registry (RIBRON). The 1034 patients who met the inclusion criteria were clustered into two groups on the basis of [...] Read more.
We sought to investigate differential phenotypic characteristics according to neutrophil counts, using a biostatistics approach in a large-cohort study from the Spanish Online Bronchiectasis Registry (RIBRON). The 1034 patients who met the inclusion criteria were clustered into two groups on the basis of their blood neutrophil levels. Using the Mann–Whitney U test to explore potential differences according to FACED and EFACED scores between the two groups, a neutrophil count of 4990 cells/µL yielded the most balanced cluster sizes: (1) above-threshold (n = 337) and (2) below-threshold (n = 697) groups. Patients above the threshold showed significantly worse lung function parameters and nutritional status, while systemic inflammation levels were higher than in the below-threshold patients. In the latter group, the proportions of patients with mild disease were greater, while a more severe disease was present in the above-threshold patients. According to the blood neutrophil counts using biostatistics analyses, two distinct clinical phenotypes of stable patients with non-CF bronchiectasis were defined. Patients falling into the above-threshold cluster were more severe. Severity was characterized by a significantly impaired lung function parameters and nutritional status, and greater systemic inflammation. Phenotypic profiles of bronchiectasis patients are well defined as a result of the cluster analysis of combined systemic and respiratory variables. Full article
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