A Mathematical-Experimental Strategy to Decode the Complex Molecular Basis for Neutrophil Migratory Decision-Making

Neutrophils are the innate immune system's first line of defense in response to an infection. During an infection in the tissue, chemical cues called chemoattractants are released, which signal neutrophils to exit circulation and enter the tissue. Once in the tissue, neutrophils directionally migrate in response to the chemoattractant and toward the site of infection in a process called chemotaxis. At the site of infection, they initiate antimicrobial responses to clear the infection and resolve inflammation, restoring homeostasis. However, neutrophils are exposed to multiple chemoattractants and must prioritize these signals in order to correctly migrate to the appropriate site. The ability of neutrophils to properly undergo chemotaxis in the presence of infection and inflammation is crucial for resolution of inflammation and pathogen clearance. It has been recently shown that when pre-conditioned with bacterial endotoxin (LPS), innate immune function can become dysregulated. Neutrophils start to display altered antimicrobial response as well as dysfunctional migration patterns. This behavior has been seen in patients with sepsis, where a person's immune system overreacts to an infection, leading to systemic inflammation throughout the body, causing tissue damage, multiple organ failure, and in many cases, death. We explore the effects of inflammation on neutrophil migratory patterns and decision-making within chemotaxis. Additionally, to understand how inflammation within disease impacts chemotaxis, we measure the difference between neutrophils from healthy individuals and those from septic patients. We approached this using a combination of experimental and computational techniques. We developed a microfluidic assay to measure neutrophil decision-making in a competitive chemoattractant environment between an end-target (fMLP) and intermediary (LTB4) chemoattractant. Additionally, we probed for the expression level of molecules related to neutrophil chemotaxis. We also built a system of ordinary differential equations to model the dynamics of the molecular interactions underlying neutrophil chemotaxis. Our results showed that when neutrophils were induced into a highly inflammatory state, they prioritized pro-inflammatory signals over pro-resolution signals and displayed dysfunctional migration patterns. Similarly, neutrophils from patients with sepsis also displayed dysregulated migration patterns. This aberrant neutrophil chemotaxis may be implicated in the pathogenesis of sepsis, where accumulation of neutrophils in off-target organs is often seen. These results shed light onto the directional migratory decision-making of neutrophils exposed to inflammatory signals. Understanding these mechanisms may lead to the development of pro-resolution therapies that correct the neutrophil compass and reduce off-target organ damage.

Name thesis:degree_name

Doctor of Philosophy

Level thesis:degree_level

doctoral

Discipline thesis:degree_discipline

Genetics, Bioinformatics, and Computational Biology

Department dc:contributor.department

Genetics, Bioinformatics, and Computational Biology

Grantor dc:publisher

Virginia Tech

Year dc:date.issued

2020

Author dc:creator

• Boribong, Brittany Phatana

Chairs dc:contributor.committeechair

• Jones, Caroline N.
• Li, Liwu

Committee members dc:contributor.committeemember

• Ciupe, Stanca M.
• Childs, Lauren M.

• Inflammation
• Neutrophils
• Chemotaxis
• Microfluidics
• Sepsis

Statement dc:rights

• In Copyright

Licence dc:rights.uri

• http://rightsstatements.org/vocab/InC/1.0/

Dc Identifier Other

vt_gsexam:26239

OAI identifier oai:identifier

oai:vtechworks.lib.vt.edu:10919/107299