Transport Stress Induces Neuroimmune Dysregulation and Exacerbates Mycobacterium Tuberculosis Infection in Mice

Transport stress (TS) significantly impacts immune function and infection, of which the cellular and molecular mechanisms remain elusive. In this study, we investigated the effects of TS on immune responses and its role in exacerbating Mycobacterium tuberculosis (Mtb) infection. TS induced anxiety-like behaviors, disrupted hypothalamic-pituitary-adrenal (HPA) axis homeostasis, altered hormone secretion patterns, and led to dysregulation of stress response genes in mice. Single-cell RNA sequencing of the spleen revealed severe immune dysfunction upon TS, characterized by inhibition of Th17 differentiation, IL-17 signaling, and antigen presentation. Importantly, TS affects the crosstalk between the HPA axis and the spleen through ligand-receptor interactions. Furthermore, TS exacerbated the severity of Mtb infection and disturbed infection-induced gene regulation. TS impairs Th1/Th2 differentiation through neuroendocrine immune dysregulation, and also compromises macrophage immune function, further weakening host defense. These findings could greatly contribute to understanding TS-induced neuroendocrine immune regulation and deteriorated infection.

Authors

Institutions

Publication Details

Journal
International Journal of Molecular Sciences
Published
2026-02-17
DOI
https://doi.org/10.3390/ijms27041919
Primary Topic
Tuberculosis Research and Epidemiology
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Transport Stress Induces Neuroimmune Dysregulation and Exacerbates Mycobacterium Tuberculosis Infection in Mice

Siqi Zhang, Xiaojuan Gou, Ting Guo, Keji Yan et al.
International Journal of Molecular Sciences
Tuberculosis Research and Epidemiology
article

Transport Stress Induces Neuroimmune Dysregulation and Exacerbates Mycobacterium Tuberculosis Infection in Mice

Siqi Zhang, Xiaojuan Gou, Ting Guo, Keji Yan, Lulu Deng, Xiangru Wang, Qinghua Zhang, Jinxia Dai, Hu Zheng, Gang Cao, Xi Chen, Bing Yang, Yingying Lei, Wei Zhou, Ke Xiao
article en

Abstract

Transport stress (TS) significantly impacts immune function and infection, of which the cellular and molecular mechanisms remain elusive. In this study, we investigated the effects of TS on immune responses and its role in exacerbating Mycobacterium tuberculosis (Mtb) infection. TS induced anxiety-like behaviors, disrupted hypothalamic-pituitary-adrenal (HPA) axis homeostasis, altered hormone secretion patterns, and led to dysregulation of stress response genes in mice. Single-cell RNA sequencing of the spleen revealed severe immune dysfunction upon TS, characterized by inhibition of Th17 differentiation, IL-17 signaling, and antigen presentation. Importantly, TS affects the crosstalk between the HPA axis and the spleen through ligand-receptor interactions. Furthermore, TS exacerbated the severity of Mtb infection and disturbed infection-induced gene regulation. TS impairs Th1/Th2 differentiation through neuroendocrine immune dysregulation, and also compromises macrophage immune function, further weakening host defense. These findings could greatly contribute to understanding TS-induced neuroendocrine immune regulation and deteriorated infection.

International Journal of Molecular SciencesVol. 27(4)
Chinese Academy of Sciences (CN), Huazhong Agricultural University (CN), Shenzhen Institutes of Advanced Technology (CN)
National Natural Science Foundation of China
Good health and well-being
Openalex Percentile: Top 52%
Tuberculosis Research and Epidemiology
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.