Sequencing-driven identification of immunotherapeutics for treatment of Lyme disease 4155

Abstract Description Lyme Disease (LD) is the number one tick-borne disease in the U.S., with an estimated incidence rate of at minimum 60,000 individuals each year. In the U.S., LD is caused by the gram-negative spirochete B. burgdorferi (Bb) and is transmitted to humans through bite of a Bb-infected Ixodes scapularis tick. Bb has many mechanisms in which it can persist and disseminate through the human host, highlighting the importance of early diagnosis and antibiotic treatment for avoidance of the potential long-term multisystem effects of LD. However, an estimated 14% of individuals present with symptoms of LD post-treatment. In addition, regardless of treatment, prior infection with Bb does not result in protection from future infections. This is due in part to Bb’s effects on the host immune response. Therefore, we hypothesized that Bb infected mice could be treated with immunotherapies that stimulate the innate and adaptive response to Bb. To identify targets for therapeutic treatment, we performed single-cell RNA sequencing on the lymph nodes of Bb-infected mice 14 days post challenge. Targets for immunotherapy treatment are then formulated as mRNA, allowing their effect on the immune response and pathogen clearance to be assessed. If effective, we hypothesize that immunotherapies could be combined with current antibiotic treatments, to help improve their therapeutic efficacy. Funding Sources Supported by NIH 5R01AI152219-05 Topic Categories Vaccines and Immunotherapy (VAC)

Authors

Institutions

Publication Details

Journal
The Journal of Immunology
Published
2025-11-01
DOI
https://doi.org/10.1093/jimmun/vkaf283.1873
Primary Topic
Vector-borne infectious diseases
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Sequencing-driven identification of immunotherapeutics for treatment of Lyme disease 4155

Gage M. Pyles, Nathaniel A. Rader, Joshua Hall, Carleena Marie Rocuskie Marker et al.
The Journal of Immunology
Vector-borne infectious diseases
article

Sequencing-driven identification of immunotherapeutics for treatment of Lyme disease 4155

Gage M. Pyles, Nathaniel A. Rader, Joshua Hall, Carleena Marie Rocuskie Marker, Joshua Chapman, Spencer R. Dublin, Mariette Barbier, Emel Sen-Kilic, Annalisa B. Huckaby, María de la Paz Gutierrez, F. Heath Damron, Samuel Ulicny, Kerrington Peasak, William Witt, Shaughnessy Shephard, Emma Padden, Olivia Conaway
article en

Abstract

Abstract Description Lyme Disease (LD) is the number one tick-borne disease in the U.S., with an estimated incidence rate of at minimum 60,000 individuals each year. In the U.S., LD is caused by the gram-negative spirochete B. burgdorferi (Bb) and is transmitted to humans through bite of a Bb-infected Ixodes scapularis tick. Bb has many mechanisms in which it can persist and disseminate through the human host, highlighting the importance of early diagnosis and antibiotic treatment for avoidance of the potential long-term multisystem effects of LD. However, an estimated 14% of individuals present with symptoms of LD post-treatment. In addition, regardless of treatment, prior infection with Bb does not result in protection from future infections. This is due in part to Bb’s effects on the host immune response. Therefore, we hypothesized that Bb infected mice could be treated with immunotherapies that stimulate the innate and adaptive response to Bb. To identify targets for therapeutic treatment, we performed single-cell RNA sequencing on the lymph nodes of Bb-infected mice 14 days post challenge. Targets for immunotherapy treatment are then formulated as mRNA, allowing their effect on the immune response and pathogen clearance to be assessed. If effective, we hypothesize that immunotherapies could be combined with current antibiotic treatments, to help improve their therapeutic efficacy. Funding Sources Supported by NIH 5R01AI152219-05 Topic Categories Vaccines and Immunotherapy (VAC)

The Journal of ImmunologyVol. 214(Supplement_1)
West Virginia University (US)
National Institutes of Health
Openalex Percentile: Top 63%
Vector-borne infectious diseases
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.