ArticleJournal of pharmaceutical analysis2023
Quantitative characterization of cell physiological state based on dynamical cell mechanics for drug efficacy indication.
Article in Journal of pharmaceutical analysis, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed.
- Skeletal muscle dysfunction induced by cancer immunotherapy: mechanistics insights and surgical implications.Frontiers in immunology · 2026Review
- Human cytochrome P450 enzymes catalyze oxidative metabolism of pectolinarigenin to generate a more active Nrf2 agonist.Chinese herbal medicines · 2025Article
- CPHNet: a novel pipeline for anti-HAPE drug screening via deep learning-based Cell Painting scoring.Respiratory research · 2025Article
- Review
- Impact of postoperative depression and immune-inflammatory biomarkers on the prognosis of patients with esophageal cancer receiving minimally invasive esophagectomy: a retrospective cohort study based on a Chinese population.Frontiers in immunology · 2025Article
- Impact of vaccination strategy adjustments on antibody levels against measles, rubella, mumps, and varicella in China: a single-center serological survey.Frontiers in immunology · 2025Article
- Atomic Force Microscopy for the Study of Cell Mechanics in Pharmaceutics.Pharmaceutics · 2024Review
- Recent advancements in single-cell metabolic analysis for pharmacological research.Journal of pharmaceutical analysis · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cell mechanics is essential to cell development and function, and its dynamics evolution reflects the physiological state of cells. Here, we investigate the dynamical mechanical properties of single cells under various drug conditions, and present two mathematical approaches to quantitatively characterizing the cell physiological state. It is demonstrated that the cellular mechanical properties upon the drug action increase over time and tend to saturate, and can be mathematically characterized by a linear time-invariant dynamical model. It is shown that the transition matrices of dynamical cell systems significantly improve the classification accuracies of the cells under different drug actions. Furthermore, it is revealed that there exists a positive linear correlation between the cytoskeleton density and the cellular mechanical properties, and the physiological state of a cell in terms of its cytoskeleton density can be predicted from its mechanical properties by a linear regression model. This study builds a relationship between the cellular mechanical properties and the cellular physiological state, adding information for evaluating drug efficacy.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.