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Tissue-autonomous pharmacological direction: how target expression landscapes convert balanced compounds into tissue-selective agents.

Overview

Authors: Huizhen Chen1,2, Qiu Chen3, Yanzhong Wang2
ORCID iDs: Yanzhong Wang
  1. Chengdu University of Traditional Chinese Medicine, Chengdu, China
  2. King’s College London, London, United Kingdom
  3. Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China
Journal: Frontiers in pharmacology, volume 17, article 1870571
Dates: received 1 May 2026; accepted 11 June 2026; published online 30 June 2026
Type: Brief report · Language: English
License: CC BY
Identifiers: DOI 10.3389/fphar.2026.1870571 · PMID 42453585 · PMCID PMC13365337 · OpenAlex W7166712764
Open access: gold, a free copy (OpenAlex)
Status: data only
Categories: genetics / omics (modality)
Methods: Spectral & time-frequency
Keywords: direction reversal, multi-target drugs, polypharmacology, precision medicine, tissue direction index, tissue-autonomous pharmacological direction, tissue-specific drug effects, transcriptomic atlas
Topic: Cell Image Analysis Techniques (Biophysics, Biochemistry, Genetics and Molecular Biology), according to OpenAlex
Citations: not cited yet (Europe PMC); 43 references in the paper

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

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Data availability statement

Publicly available datasets were analyzed in this study. The transcriptomic data are available from the GTEx Portal (GTEx v8; https://gtexportal.org) and the NCBI Gene Expression Omnibus (https://www.ncbi.nlm.nih.gov/geo/) under accession numbers GSE16561 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE16561) and GSE66407 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE66407). The processed proof-of-concept data generated for this study are provided in the Supplementary Material (Supplementary Tables S1 and S2 and Supplementary Data S1) and are openly archived at Zenodo (DOI: 10.5281/zenodo.20765877); these data include the molecular docking affinities, target classifications, tissue-specific expression values, and the sensitivity and robustness analyses.

Reproduced under the paper's license (CC BY), from the paper cited above.

Versions

The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.

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://doi.org/10.3389/fphar.2026.1870571

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/fphar.2026.1870571},
url = {https://doi.org/10.3389/fphar.2026.1870571},
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 - 2026/06/30
VL - 17
SP - 1870571
SN - 1663-9812
PB - Frontiers Media SA
DO - 10.3389/fphar.2026.1870571
UR - https://doi.org/10.3389/fphar.2026.1870571
LA - en
ER -

CSL-JSON

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