Multi-dimensional decoding of the TSPO signal in animal models of neuroinflammation using fluorescence-conjugated DPA714
Huanhuan Song, Zhibao Zhu, Limei Xiao, Qiuping Zhao, Chun Li, Aowei Lv, Xintong Yu, Zhuyu Gao, Jie Lin, Youliang Wang, Yuanyuan Zhang, Lijie Zhang, Runyun Li, Shaobo Yao, Mengchao Cui, Yi Lin, Ying Fu, V. Wee Yong, Rui Li · 2026
Read Multi-dimensional decoding of the TSPO signal in animal models of neuroinflammation using fluorescence-conjugated DPA714 by Huanhuan Song, Zhibao Zhu, Limei Xiao, Qiuping Zhao, Chun Li, Aowei Lv, Xintong Yu, Zhuyu Gao, Jie Lin, Youliang Wang, Yuanyuan Zhang, Lijie Zhang, Runyun Li, Shaobo Yao, Mengchao Cui, Yi Lin, Ying Fu, V. Wee Yong, Rui Li (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/PMC13292448.txt.
Description
Huanhuan Song and a large team decode a 2026 imaging puzzle: what cells actually produce the TSPO signal used to picture brain inflammation on PET scans. They swapped the usual tracer for a fluorescent cousin, Cy5-PEG3-DPA714, that works under microscopes and cell sorters as well as in living animals. Several mouse models of acute and chronic neuroinflammation carried the test.
Tissue checks confirmed the signal comes mainly from activated microglia marked by Iba1. Sorting by brightness isolated a microglial subgroup glowing strongly for the probe. Those cells resembled disease-associated microglia, with fierce inflammatory behavior and rewired metabolism. They also leaned heavily on CSF1R signaling, and wiping them out with the inhibitor PLX3397 calmed brain inflammation. The authors offer the framework for aiming future treatments at the exact cells lighting up scans.
Catalog record
| CREATOR | Huanhuan Song, Zhibao Zhu, Limei Xiao, Qiuping Zhao, Chun Li, Aowei Lv, Xintong Yu, Zhuyu Gao, Jie Lin, Youliang Wang, Yuanyuan Zhang, Lijie Zhang, Runyun Li, Shaobo Yao, Mengchao Cui, Yi Lin, Ying Fu, V. Wee Yong, Rui Li |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 42320 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |