The Role of Neutrophil Extracellular Traps (NETs) in the Pathogenesis and Differentiation of Equine Asthma Phenotypes.

Format:

Book

Author/Creator:

Meiseberg, Lia Kristin.

Language:

English

Subjects (All):

Neutrophils.

Immunopathology.

Physical Description:

1 online resource (187 pages)

Edition:

1st ed.

Place of Publication:

Göttingen : Cuvillier Verlag, 2025.

Summary:

This doctoral thesis by Lia Kristin Meiseberg explores the role of neutrophil extracellular traps (NETs) in the pathogenesis of equine asthma phenotypes. Equine asthma, a chronic lung disease in horses, is categorized into mild-moderate and severe forms, with the latter involving persistent airway inflammation linked to neutrophil granulocytes. The study investigates the immunological mechanisms underlying the disease, focusing on NET formation and its association with disease progression, systemic alterations, and potential autoimmune responses. The research emphasizes the detrimental effects of NETs and their regulation by enzymes such as DNases to prevent host tissue damage. The work is intended for veterinary researchers, equine health specialists, and scientists studying respiratory diseases and immunology in animals. Generated by AI.

Contents:

Intro

List of abbreviations

1. Summary

2. Zusammenfassung

3. General introduction

3.1 Definition of the terms "pheno-" and "endotype"

3.2 Equine asthma

3.3 Neutrophils

3.4 Graphical summary

4. Aims

5. Results

5.1 Differentiation of three equine asthma phenotypes (mild, moderate andsevere EA)

5.2 The role of NETs in the pathogenesis and differentiation of EAphenotypes

6. General discussion

6.1 Phenotype differentiation in EA research

6.2 Detrimental effects of NETs in human lung diseases

6.3 NETs as part of the EA pathogenesis

7. Concluding remarks

8. Future outlook

9. References (Chapter 3 and 6)

10. Appendix

Affidavit

Acknowledgements.

Notes:

Description based on publisher supplied metadata and other sources.

Part of the metadata in this record was created by AI, based on the text of the resource.

ISBN:

3-689-52729-5

OCLC:

1522804276