Tissue-autonomous pharmacological direction: how target expression landscapes convert balanced compounds into tissue-selective agents.
Overview
- Chengdu University of Traditional Chinese Medicine, Chengdu, China
- King’s College London, London, United Kingdom
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China
Abstract
Multi-target drugs frequently exhibit tissue-dependent pharmacological directions: the same compound may promote a biological process in one organ while driving its functional opposite in another. Tamoxifen antagonizes estrogen receptors in breast tissue yet activates them in the endometrium; non-selective NSAIDs reduce inflammation at injury sites while damaging the gastric mucosa. Each phenomenon has been explained by drug-specific mechanisms, but no unifying principle predicts when or why such direction reversal occurs. Here we propose tissue-autonomous pharmacological direction (TAPD): when a compound simultaneously engages two functionally opposing target classes, its net pharmacological direction in any tissue is determined primarily by which class is more abundantly expressed locally. We formalize this principle through the Tissue Direction Index (TDI), a dimensionless metric (0–1) integrating binding affinity with tissue-specific expression data from transcriptomic atlases. As proof of concept, we show that bridging metabolites from traditional Chinese botanical drugs with uniform molecular-level coagulation bias undergo substantial hemostatic direction shifts between gastrointestinal and brain tissue (4.6-fold Hemostatic Index change, driven predominantly by expression differences), with two metabolites achieving complete direction reversal. We then discuss how TAPD complements existing models of tissue-selective drug effects, including SERMs, NSAIDs, kinase inhibitors, and immunomodulators, and outline translational applications in drug repurposing, predictive toxicology, and patient-specific pharmacological prediction.
Reproduced under the paper's license (CC BY), from the paper cited above.
Code
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Data
Datasets cited
- geo:GSE16561, at NCBI GEO; found in “Data availability statement”
- zenodo:20765877, at Zenodo; found in “Data availability statement”
- zenodo:20765878, at Zenodo; found in DataCite
Other data links
- ncbi.nlm.nih.gov/
geo , NCBI; found in “Data availability statement”
Data availability statement
Publicly available datasets were analyzed in this study. The transcriptomic data are available from the GTEx Portal (GTEx v8; https://
Reproduced under the paper's license (CC BY), from the paper cited above.
Versions
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Version 2, 28 September 2026
- Funding: added Ministry of Science and Technology of the People's Republic of China
Version 1, 27 September 2026: the first record
Recorded: type, language, journal, volume, pages, dates, 3 authors, 8 keywords, 41 references.
Cite
This paper
Chen, H., Chen, Q., & Wang, Y. (2026). Tissue-autonomous pharmacological direction: how target expression landscapes convert balanced compounds into tissue-selective agents. Frontiers in pharmacology, 17, 1870571. https://
BibTeX
@article{chen2026tissue,
author = {Chen, Huizhen and Chen, Qiu and Wang, Yanzhong},
title = {{Tissue-autonomous pharmacological direction: how target expression landscapes convert balanced compounds into tissue-selective agents}},
journal = {Frontiers in pharmacology},
year = {2026},
month = jun,
volume = {17},
pages = {1870571},
publisher = {Frontiers Media SA},
issn = {1663-9812},
doi = {10.3389/
url = {https://
pmid = {42453585},
pmcid = {PMC13365337}
}
RIS
TY - JOUR
AU - Chen, Huizhen
AU - Chen, Qiu
AU - Wang, Yanzhong
TI - Tissue-autonomous pharmacological direction: how target expression landscapes convert balanced compounds into tissue-selective agents
T2 - Frontiers in pharmacology
J2 - Front Pharmacol
PY - 2026
DA - 2026/
VL - 17
SP - 1870571
SN - 1663-9812
PB - Frontiers Media SA
DO - 10.3389/
UR - https://
LA - en
ER -
CSL-JSON
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"container-title": "Frontiers in pharmacology",
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{
"family": "Chen",
"given": "Huizhen"
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"volume": "17",
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"PMID": "42453585",
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"publisher": "Frontiers Media SA",
"URL": "https://
"language": "en",
"issued": {
"date-parts": [
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}
}
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