Integrating bioinformatics and machine learning to unravel shared mechanisms and biomarkers in chronic obstructive pulmonary disease and type 2 diabetes DOI

Shen Jiran,

Jiling Wang,

Zhou Sijing

et al.

Postgraduate Medical Journal, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 18, 2024

Abstract Background Chronic obstructive pulmonary disease (COPD) and type 2 diabetes mellitus (T2DM) are on the rise. While there is evidence of a link between two diseases, pathophysiological mechanisms they share not fully understood. Methods In this study, co-expressed genes COPD T2DM in Gene Expression Omnibus database were identified by bioinformatics method, functional enrichment analysis was performed. Machine learning algorithms used to identify biomarkers. The diagnostic value these biomarkers assessed receiver operating characteristic analysis, their relationship immune cells investigated immunoinfiltration analysis. Finally, real-time quantitative polymerase chain reaction Results A total five overlapping obtained, focusing pathways associated with insulin resistance inflammatory mediators. machine method three biomarkers: matrix metalloproteinase 9, laminin α4, differentially expressed normal neoplasia domain containing 4 C, all which shown have high values Immunoinfiltration showed that it variety cells. addition, results confirmed agreement our Conclusions Our study sheds light common pathogenesis both findings potential implications for development new treatment strategies T2DM. Key message What already known topic? often coexist as comorbidities. However, exact mechanistic diseases remains complex, multifactorial, adds? Three biomarkers, including metalloproteinase, key co-expression hub How might affect research, practice or policy? Future studies may benefit from incorporating larger sample set further explore validate therapeutic effects core genes.

Language: Английский

The role of glucagon-like peptide-1 receptor (GLP-1R) agonists in enhancing endothelial function: a potential avenue for improving heart failure with preserved ejection fraction (HFpEF) DOI Creative Commons

Darshan Hullon,

Ghasaq K. Subeh,

Yu.V. Volkova

et al.

Cardiovascular Diabetology, Journal Year: 2025, Volume and Issue: 24(1)

Published: Feb. 7, 2025

Heart failure with preserved ejection fraction (HFpEF) is a prevalent and complex condition limited effective treatments. Endothelial dysfunction significant component of HFpEF pathophysiology, glucagon-like peptide-1 receptor (GLP-1R) agonists have shown potential benefits in improving endothelial function. This study aims to explore the relationship between mechanisms action GLP-1R agonists, highlighting their therapeutic benefits. A comprehensive review literature was conducted examine etiology HFpEF, role dysfunction, effects on function heart outcomes. The findings indicate that associated various comorbidities, such as obesity, diabetes mellitus, hypertension, which contribute dysfunction. including semaglutide liraglutide, demonstrated cardioprotective effects, vascular function, reducing inflammation, preventing atherosclerosis. Clinical trials, STEP-HFpEF trial, positive results symptoms physical restrictions patients. present promising option for by targeting other pathophysiological mechanisms. Further research needed elucidate precise through exert establish long-term safety efficacy diverse populations.

Language: Английский

Citations

2
Impact of SGLT-2i on COPD Exacerbations in Patients with Type 2 Diabetes Mellitus: A Systematic Review and Meta-Analysis DOI

Prakasini Satapathy,

Abhay Gaidhane,

Nasir Vadia

et al.

Diabetes & Metabolism, Journal Year: 2025, Volume and Issue: unknown, P. 101646 - 101646

Published: April 1, 2025

Language: Английский

Citations

0
Potential Use of GLP-1 and GIP/GLP-1 Receptor Agonists for Respiratory Disorders: Where Are We at? DOI Creative Commons
Miodrag Janić, Sabina Škrgat, Matevž Harlander

et al.

Medicina, Journal Year: 2024, Volume and Issue: 60(12), P. 2030 - 2030

Published: Dec. 9, 2024

Chronic respiratory disorders are the third leading cause of mortality globally. Consequently, there is a continuous pursuit effective therapies beyond those currently available. The therapeutic potential glucagon-like peptide-1 (GLP-1) and glucose-dependent insulinotropic polypeptide/GLP-1 (GIP/GLP-1) receptor agonists extends regulation glycemia, including glucometabolic, cardiovascular, renal effects, rendering them viable candidates, due to their mechanisms action, for possible treatment disorders. This manuscript aims provide comprehensive evaluation evidence on direct (cellular) indirect (metabolic) actions GLP-1 GIP/GLP-1 within pulmonary systems. In addition, it examines efficacy in addressing prevalent disorders, specifically chronic obstructive disease (COPD), asthma, pneumonia, sleep apnea, hypertension, lung cancer, transplantation. Finally, seeks identify avenues further focused research this field.

Language: Английский

Citations

0
Integrating bioinformatics and machine learning to unravel shared mechanisms and biomarkers in chronic obstructive pulmonary disease and type 2 diabetes DOI

Shen Jiran,

Jiling Wang,

Zhou Sijing

et al.

Postgraduate Medical Journal, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 18, 2024

Abstract Background Chronic obstructive pulmonary disease (COPD) and type 2 diabetes mellitus (T2DM) are on the rise. While there is evidence of a link between two diseases, pathophysiological mechanisms they share not fully understood. Methods In this study, co-expressed genes COPD T2DM in Gene Expression Omnibus database were identified by bioinformatics method, functional enrichment analysis was performed. Machine learning algorithms used to identify biomarkers. The diagnostic value these biomarkers assessed receiver operating characteristic analysis, their relationship immune cells investigated immunoinfiltration analysis. Finally, real-time quantitative polymerase chain reaction Results A total five overlapping obtained, focusing pathways associated with insulin resistance inflammatory mediators. machine method three biomarkers: matrix metalloproteinase 9, laminin α4, differentially expressed normal neoplasia domain containing 4 C, all which shown have high values Immunoinfiltration showed that it variety cells. addition, results confirmed agreement our Conclusions Our study sheds light common pathogenesis both findings potential implications for development new treatment strategies T2DM. Key message What already known topic? often coexist as comorbidities. However, exact mechanistic diseases remains complex, multifactorial, adds? Three biomarkers, including metalloproteinase, key co-expression hub How might affect research, practice or policy? Future studies may benefit from incorporating larger sample set further explore validate therapeutic effects core genes.

Language: Английский

Citations

0