The combination of Mycobacterium tuberculosis fusion proteins LT33 and LT28 induced strong protective immunity in mice

Effective subunit vaccines for tuberculosis (TB) must target antigenic components at various stages of infection. In this study, we constructed fusion proteins using secreted antigens from <i>Mycobacterium tuberculosis</i> (<i>M. tuberculosis</i>), specifically ESAT6, CFP10, MPT64, and Rv2645 from the proliferation stage, along with latency-associated antigens Rv1738 and Rv1978. The resulting fusion proteins, designated LT33 (ESAT6-CFP10-Rv1738) and LT28 (MPT64<sub>61-170</sub>-Rv1978<sub>8-60</sub>-Rv2645<sub>21-80</sub>), were combined with an adjuvant containing dimethyldioctadecylammonium bromide (DDA), polyriboinosinic polyribocytidylic acid (PolyI:C), and cholesterol to construct subunit vaccines. We evaluated the subunit vaccine effect in C57BL/6 mice and revealed that LT33 and LT28 exhibited strong immunogenicity and induced protective efficacy against aerosol challenge with <i>M. tuberculosis</i> H37Rv. Notably, the combination of LT33 and LT28 led to a significant reduction of 0.77 log10 colony-forming units (CFU) of H37Rv in the lungs compared to the adjuvant control group, highlighting their potential as promising candidates for subunit vaccine against <i>M. tuberculosis</i> infection.

Authors

Institutions

Publication Details

Journal
Frontiers in Immunology
Published
2024-11-22
DOI
https://doi.org/10.3389/fimmu.2024.1450124
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

The combination of Mycobacterium tuberculosis fusion proteins LT33 and LT28 induced strong protective immunity in mice

Lina Hu, Youjun Mi, Pu He, Yunjie Du et al.
Frontiers in Immunology
Tuberculosis Research and Epidemiology
article

The combination of Mycobacterium tuberculosis fusion proteins LT33 and LT28 induced strong protective immunity in mice

Lina Hu, Youjun Mi, Pu He, Yunjie Du, D. S. K. Tan, Fei Li, Tingting Zhang, Juan Wang, Wenhua Zhang, Bingdong Zhu, Lei Jiao, Yanlin Ma, Jixi Li
article en

Abstract

Effective subunit vaccines for tuberculosis (TB) must target antigenic components at various stages of infection. In this study, we constructed fusion proteins using secreted antigens from <i>Mycobacterium tuberculosis</i> (<i>M. tuberculosis</i>), specifically ESAT6, CFP10, MPT64, and Rv2645 from the proliferation stage, along with latency-associated antigens Rv1738 and Rv1978. The resulting fusion proteins, designated LT33 (ESAT6-CFP10-Rv1738) and LT28 (MPT64<sub>61-170</sub>-Rv1978<sub>8-60</sub>-Rv2645<sub>21-80</sub>), were combined with an adjuvant containing dimethyldioctadecylammonium bromide (DDA), polyriboinosinic polyribocytidylic acid (PolyI:C), and cholesterol to construct subunit vaccines. We evaluated the subunit vaccine effect in C57BL/6 mice and revealed that LT33 and LT28 exhibited strong immunogenicity and induced protective efficacy against aerosol challenge with <i>M. tuberculosis</i> H37Rv. Notably, the combination of LT33 and LT28 led to a significant reduction of 0.77 log10 colony-forming units (CFU) of H37Rv in the lungs compared to the adjuvant control group, highlighting their potential as promising candidates for subunit vaccine against <i>M. tuberculosis</i> infection.

Frontiers in ImmunologyVol. 15
Fudan University (CN), Lanzhou Veterinary Research Institute (CN), Lanzhou Institute of Husbandry and Pharmaceutical Sciences (CN), Chinese Academy of Agricultural Sciences (CN), Lanzhou University (CN)
Lanzhou University, National Key Research and Development Program of China
Good health and well-being
Openalex Percentile: Top 74%
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.