Metabolomics in Pulmonary Diseases

A special issue of Metabolites (ISSN 2218-1989). This special issue belongs to the section "Cell Metabolism".

Deadline for manuscript submissions: 31 May 2024 | Viewed by 2448

Special Issue Editors


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Guest Editor
Department of Biological Sciences, Faculty of Sciences, University of Calgary, Calgary, AB, Canada
Interests: metabolomics in critical care medicine; bacterial and viral diseases of the pulmonary system

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Guest Editor
Division of Pulmonary and Critical Care, Department of Medicine, University of Florida, Jacksonville, FL, USA
Interests: sarcoidosis; nontuberculous mycobacteria; bronchial epithelial cells; ex-vivo lung model; animal model of pulmonary diseases
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Special Issue Information

Dear Colleagues,

Metabolomics, the comprehensive analysis of small molecules in biological samples, has emerged as a powerful tool in the field of pulmonary medicine such as chronic obstructive pulmonary disease (COPD), asthma, pulmonary fibrosis, Sarcoidosis, lung cancer, and viral and bacterial pneumonia. Pulmonary diseases encompass a wide range of conditions that are characterized by complex pathophysiological processes involving inflammation, oxidative stress, tissue remodeling, and metabolic dysregulation. One of the key rationales for utilizing metabolomics in pulmonary diseases is the ability to capture the dynamic metabolic changes occurring in the lungs and systemic circulation. Metabolites represent the end products of cellular metabolism and reflect the functional state of cells and tissues. By analyzing the global metabolic profile, metabolomics can provide a snapshot of the metabolite alterations associated with pulmonary diseases that can unravel dysregulated metabolic pathways in different lung conditions. This holistic approach allows for the identification of novel biomarkers for early diagnosis, disease classification, and insights into the molecular processes driving disease progression. Using metabolomics, the accurate clustering of pulmonary diseases can facilitate personalized medicine approaches that may hold great promise for improving treatment outcomes, minimizing side effects, and enhancing patient care in pulmonary disease. The scope of this Special Issue includes preclinical and clinical research in the field of metabolomics in pulmonary diseases. The Special Issue welcomes original articles, reviews, and perspectives that contribute to understanding metabolic alterations, diagnostics and prognostics biomarker discovery and stratification of diseases. We encourage submissions of papers using various metabolomics platforms including mass spectrometry, nuclear magnetic resonance and other analytical techniques on human clinical samples, animal models, and cell cultures. This Special Issue aims to provide an opportunity for researchers and experts in the field to share their new findings, methods and ideas about metabolomics and lung diseases.

Dr. Mohammad Mehdi Banoei
Dr. Mehdi Mirsaeidi
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • metabolomics
  • diagnostic and prognostic biomarkers
  • pathogenesis
  • inflammation
  • progression of disease

Published Papers (1 paper)

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Article
The Urinary Metabolome of Newborns with Perinatal Complications
by Yamilé López-Hernández, Victoria Lima-Rogel, Rupasri Mandal, Jiamin Zheng, Lun Zhang, Eponine Oler, David Alejandro García-López, Claudia Torres-Calzada, Ana Ruth Mejía-Elizondo, Jenna Poelzer, Jesús Adrián López, Ashley Zubkowski and David S. Wishart
Metabolites 2024, 14(1), 41; https://doi.org/10.3390/metabo14010041 - 10 Jan 2024
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Abstract
Maternal pathological conditions such as infections and chronic diseases, along with unexpected events during labor, can lead to life-threatening perinatal outcomes. These outcomes can have irreversible consequences throughout an individual’s entire life. Urinary metabolomics can provide valuable insights into early physiological adaptations in [...] Read more.
Maternal pathological conditions such as infections and chronic diseases, along with unexpected events during labor, can lead to life-threatening perinatal outcomes. These outcomes can have irreversible consequences throughout an individual’s entire life. Urinary metabolomics can provide valuable insights into early physiological adaptations in healthy newborns, as well as metabolic disturbances in premature infants or infants with birth complications. In the present study, we measured 180 metabolites and metabolite ratios in the urine of 13 healthy (hospital-discharged) and 38 critically ill newborns (admitted to the neonatal intensive care unit (NICU)). We used an in-house-developed targeted tandem mass spectrometry (MS/MS)-based metabolomic assay (TMIC Mega) combining liquid chromatography (LC-MS/MS) and flow injection analysis (FIA-MS/MS) to quantitatively analyze up to 26 classes of compounds. Average urinary concentrations (and ranges) for 167 different metabolites from 38 critically ill NICU newborns during their first 24 h of life were determined. Similar sets of urinary values were determined for the 13 healthy newborns. These reference data have been uploaded to the Human Metabolome Database. Urinary concentrations and ranges of 37 metabolites are reported for the first time for newborns. Significant differences were found in the urinary levels of 44 metabolites between healthy newborns and those admitted at the NICU. Metabolites such as acylcarnitines, amino acids and derivatives, biogenic amines, sugars, and organic acids are dysregulated in newborns with bronchopulmonary dysplasia (BPD), asphyxia, or newborns exposed to SARS-CoV-2 during the intrauterine period. Urine can serve as a valuable source of information for understanding metabolic alterations associated with life-threatening perinatal outcomes. Full article
(This article belongs to the Special Issue Metabolomics in Pulmonary Diseases)
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