A proposed closed-loop framework for postoperative management of OVCF integrating biosensor-enabled monitoring and traditional Chinese medicine formulas: from dynamic assessment to precision intervention

Postoperative management of osteoporotic vertebral compression fracture (OVCF) remains challenging because conventional bone mineral density (BMD) and imaging assessments are intrinsically delayed, while bone turnover markers (BTMs) that reflect real-time remodeling dynamics are difficult to measure frequently in routine care. In parallel, commonly used anti-osteoporotic medications may be limited by delayed onset of measurable response and concerns regarding long-term tolerability in certain populations. This article is a narrative review and conceptual perspective that synthesizes recent advances in biosensor-enabled point-of-care testing-highlighting organic optoelectrochemical transistors (OPECT)-and mechanistic pharmacology evidence for kidney-tonifying and blood-activating traditional Chinese medicine (TCM) formulas. On this basis, we propose a closed-loop framework that links high-frequency BTM monitoring to biomarker-informed optimization of postoperative integrative management. Importantly, this work does not report original clinical implementation data; the proposed framework is intended to guide future translational research, standardization, and prospective clinical validation.

Authors

Institutions

Publication Details

Journal
Frontiers in Pharmacology
Published
2026-03-05
DOI
https://doi.org/10.3389/fphar.2026.1758723
Primary Topic
Bone health and osteoporosis research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A proposed closed-loop framework for postoperative management of OVCF integrating biosensor-enabled monitoring and traditional Chinese medicine formulas: from dynamic assessment to precision intervention

Jiafang Zhang, Chuxi Wang, Ziwei Yu, Yingzi Liao
Frontiers in Pharmacology
Bone health and osteoporosis research
article

A proposed closed-loop framework for postoperative management of OVCF integrating biosensor-enabled monitoring and traditional Chinese medicine formulas: from dynamic assessment to precision intervention

Jiafang Zhang, Chuxi Wang, Ziwei Yu, Yingzi Liao
article en

Abstract

Postoperative management of osteoporotic vertebral compression fracture (OVCF) remains challenging because conventional bone mineral density (BMD) and imaging assessments are intrinsically delayed, while bone turnover markers (BTMs) that reflect real-time remodeling dynamics are difficult to measure frequently in routine care. In parallel, commonly used anti-osteoporotic medications may be limited by delayed onset of measurable response and concerns regarding long-term tolerability in certain populations. This article is a narrative review and conceptual perspective that synthesizes recent advances in biosensor-enabled point-of-care testing-highlighting organic optoelectrochemical transistors (OPECT)-and mechanistic pharmacology evidence for kidney-tonifying and blood-activating traditional Chinese medicine (TCM) formulas. On this basis, we propose a closed-loop framework that links high-frequency BTM monitoring to biomarker-informed optimization of postoperative integrative management. Importantly, this work does not report original clinical implementation data; the proposed framework is intended to guide future translational research, standardization, and prospective clinical validation.

Frontiers in PharmacologyVol. 17
Fujian University of Traditional Chinese Medicine (CN)
Good health and well-being
Openalex Percentile: Top 34%
Bone health and osteoporosis research
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.