1
|
He J, Wang B, Chen M, Song L, Li H. Machine learning-based metabolism-related genes signature, single-cell RNA sequencing, and experimental validation in hypersensitivity pneumonitis. Medicine (Baltimore) 2023; 102:e34940. [PMID: 37800807 PMCID: PMC10553120 DOI: 10.1097/md.0000000000034940] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Accepted: 08/04/2023] [Indexed: 10/07/2023] Open
Abstract
Metabolism is involved in the pathogenesis of hypersensitivity pneumonitis. To identify diagnostic feature biomarkers based on metabolism-related genes (MRGs) and determine the correlation between MRGs and M2 macrophages in patients with hypersensitivity pneumonitis (HP). We retrieved the gene expression matrix from the Gene Expression Omnibus database. The differentially expressed MRGs (DE-MRGs) between healthy control (HC) and patients with HP were identified using the "DESeq2" R package. The "clusterProfiler" R package was used to perform "Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses" on DE-MRGs. We used machine learning algorithms for screening diagnostic feature biomarkers for HP. The "receiver operating characteristic curve" was used to evaluate diagnostic feature biomarkers' discriminating ability. Next, we used the "Cell-type Identification by Estimating Relative Subsets of RNA Transcripts" algorithm to determine the infiltration status of 22 types of immune cells in the HC and HP groups. Single-cell sequencing and qRT-PCR were used to validate the diagnostic feature biomarkers. Furthermore, the status of macrophage polarization in the peripheral blood of patients with HP was determined using flow cytometry. Finally, the correlation between the proportion of M2 macrophages in peripheral blood and the diagnostic biomarker expression profile in HP patients was determined using Spearman analysis. We identified a total of 311 DE-MRGs. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis showed that DE-MRGs were primarily enriched in processes like steroid hormone biosynthesis, drug metabolism, retinol metabolism, etc. Finally, we identified NPR3, GPX3, and SULF1 as diagnostic feature biomarkers for HP using machine learning algorithms. The bioinformatic results were validated using the experimental results. The CIERSORT algorithm and flow cytometry showed a significant difference in the proportion of M2 macrophages in the HC and HP groups. The expression of SULF1 was positively correlated with the proportion of M2-type macrophages. In addition, a positive correlation was observed between SULF1 expression and M2 macrophage proportion. Finally, we identified NPR3, GPX3, and SULF1 as diagnostic feature biomarkers for HP. Further, a correlation between SULF1 and M2 macrophages was observed, providing a novel perspective for treating patients with HP and future studies.
Collapse
Affiliation(s)
- Jie He
- Clinical Medical College of Chengdu Medical College, Chengdu, China
- Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Chengdu Medical College, Chengdu, China
- Key Laboratory of Geriatric Respiratory Diseases of Sichuan Higher Education Institutes, Chengdu, China
| | - Bo Wang
- Clinical Medical College of Chengdu Medical College, Chengdu, China
- Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Chengdu Medical College, Chengdu, China
- Key Laboratory of Geriatric Respiratory Diseases of Sichuan Higher Education Institutes, Chengdu, China
| | - Meifeng Chen
- Clinical Medical College of Chengdu Medical College, Chengdu, China
- Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Chengdu Medical College, Chengdu, China
- Key Laboratory of Geriatric Respiratory Diseases of Sichuan Higher Education Institutes, Chengdu, China
| | - Lingmeng Song
- Clinical Medical College of Chengdu Medical College, Chengdu, China
- Medical Department, The First Affiliated Hospital of Chengdu Medical College, Chengdu, China
| | - Hezhi Li
- Clinical Medical College of Chengdu Medical College, Chengdu, China
- Department of Anesthesiology, The First Affiliated Hospital of Chengdu Medical College, Chengdu, China
| |
Collapse
|
2
|
Guarino BD, Dado CD, Kumar A, Braza J, Harrington EO, Klinger JR. Deletion of the Npr3 gene increases severity of acute lung injury in obese mice. Pulm Circ 2023; 13:e12270. [PMID: 37528869 PMCID: PMC10387407 DOI: 10.1002/pul2.12270] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Revised: 07/05/2023] [Accepted: 07/09/2023] [Indexed: 08/03/2023] Open
Abstract
Previous studies have shown that atrial natriuretic peptide (ANP) attenuates agonist-induced pulmonary edema and that this effect may be mediated in part by the ANP clearance receptor, natriuretic peptide receptor-C (NPR-C). Obesity has been associated with lower plasma ANP levels due to increased expression of NPR-C, and with decreased severity of acute lung injury (ALI). Therefore, we hypothesized that increased expression of NPR-C may attenuate ALI severity in obese populations. To test this, we examined ALI in Npr3 wild-type (WT) and knockout (KO) mice fed normal chow (NC) or high-fat diets (HFD). After 12 weeks, ALI was induced with intra-tracheal administration of Pseudomonas aeruginosa strain 103 (PA103) or saline. ALI severity was determined by lung wet-to-dry ratio (W/D) along with measurement of cell count, protein levels from bronchoalveolar lavage fluid (BALF), and quantitative polymerase chain reaction was performed on whole lung to measure cytokine/chemokine and Npr3 mRNA expression. ANP levels were measured from plasma. PA103 caused ALI as determined by significant increases in W/D, BALF protein concentration, and whole lung cytokine/chemokine expression. PA103 increased Npr3 expression in the lungs of wild-type (WT) mice regardless of diet. There was a nonsignificant trend toward increased Npr3 expression in the lungs of WT mice fed HFD versus NC. No differences in ALI were seen between Npr3 knockout (KO) mice and WT-fed NC, but Npr3 KO mice fed HFD had a significantly greater W/D and BALF protein concentration than WT mice fed HFD. These findings support the hypothesis that Npr3 may help protect against ALI in obesity.
Collapse
Affiliation(s)
- Brianna D. Guarino
- Vascular Research LabProvidence Veterans Affairs Medical CenterProvidenceRhode IslandUSA
- Department of Medicine, Sleep and Critical Care MedicineRhode Island HospitalProvidenceRhode IslandUSA
- Warren Alpert Medical School of Brown UniversityProvidenceRhode IslandUSA
| | - Christopher D. Dado
- Vascular Research LabProvidence Veterans Affairs Medical CenterProvidenceRhode IslandUSA
- Department of Medicine, Sleep and Critical Care MedicineRhode Island HospitalProvidenceRhode IslandUSA
- Warren Alpert Medical School of Brown UniversityProvidenceRhode IslandUSA
| | - Ashok Kumar
- Vascular Research LabProvidence Veterans Affairs Medical CenterProvidenceRhode IslandUSA
- Warren Alpert Medical School of Brown UniversityProvidenceRhode IslandUSA
| | - Julie Braza
- Vascular Research LabProvidence Veterans Affairs Medical CenterProvidenceRhode IslandUSA
- Warren Alpert Medical School of Brown UniversityProvidenceRhode IslandUSA
| | - Elizabeth O. Harrington
- Vascular Research LabProvidence Veterans Affairs Medical CenterProvidenceRhode IslandUSA
- Department of Medicine, Sleep and Critical Care MedicineRhode Island HospitalProvidenceRhode IslandUSA
- Warren Alpert Medical School of Brown UniversityProvidenceRhode IslandUSA
| | - James R. Klinger
- Vascular Research LabProvidence Veterans Affairs Medical CenterProvidenceRhode IslandUSA
- Department of Medicine, Sleep and Critical Care MedicineRhode Island HospitalProvidenceRhode IslandUSA
- Warren Alpert Medical School of Brown UniversityProvidenceRhode IslandUSA
| |
Collapse
|
3
|
Nyberg M, Terzic D, Ludvigsen TP, Mark PD, Michaelsen NB, Abildstrøm SZ, Engelmann M, Richards AM, Goetze JP. Review A State of Natriuretic Peptide Deficiency. Endocr Rev 2022; 44:379-392. [PMID: 36346821 PMCID: PMC10166265 DOI: 10.1210/endrev/bnac029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Revised: 09/13/2022] [Accepted: 11/04/2022] [Indexed: 11/10/2022]
Abstract
Measurement of natriuretic peptides (NPs) has proven its clinical value as biomarker, especially in the context of heart failure (HF). In contrast, a state partial NP deficiency appears integral to several conditions in which lower NP concentrations in plasma presage overt cardiometabolic disease. Here, obesity and type 2 diabetes have attracted considerable attention. Other factors - including age, sex, race, genetics, and diurnal regulation - affect the NP "armory" and may leave some individuals more prone to development of cardiovascular disease. The molecular maturation of NPs has also proven complex with highly variable O-glycosylation within the biosynthetic precursors. The relevance of this regulatory step in post-translational propeptide maturation has recently become recognized in biomarker measurement/interpretation and cardiovascular pathophysiology. An important proportion of people appear to have reduced effective net NP bioactivity in terms of receptor activation and physiological effects. The state of NP deficiency, then, both entails a potential for further biomarker development and could also offer novel pharmacological possibilities. Alleviating the state of NP deficiency before development of overt cardiometabolic disease in selected patients could be a future path for improving precision medicine.
Collapse
Affiliation(s)
| | - Dijana Terzic
- Department of Clinical Biochemistry, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | | | - Peter D Mark
- Department of Clinical Biochemistry, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | | | | | | | - A Mark Richards
- Division of Cardiology, National University Heart Centre, National University Hospital, Singapore
| | - Jens P Goetze
- Department of Clinical Biochemistry, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark.,Department of Biomedical Sciences, Faculty of Health, Copenhagen University, Copenhagen, Denmark
| |
Collapse
|