ReviewDrug delivery and translational research2026
Recent advances in interstitial fluid dynamics for diagnostic, targeted drug delivery and precision medicine applications.
Review in Drug delivery and translational research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Dermal tattoos in biomedicine: Emerging platforms for sensing and therapy.Materials today. Bio · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Interstitial fluid (ISF), the extracellular fluid surrounding tissue cells, has emerged as a promising biofluid for biomarker detection and localized physiological monitoring. Although its clinical use remains limited compared with blood or urine, advances in minimally invasive extraction technologies have expanded research interest in its diagnostic and therapeutic potential. ISF shares biochemical similarities with blood but is more accessible through minimally invasive techniques, offers localized biomarker concentrations, and avoids clotting issues. Recent research has demonstrated that ISF contains a rich profile of biomolecules, including proteins, nucleic acids, metabolites, and cytokines, that are valuable for diagnosing and managing a variety of conditions such as infections, metabolic disorders, cancers, and neurological diseases. Advances in microneedle (MN) technology, wearable biosensors, and minimally invasive extraction methods have enabled the efficient sampling and analysis of ISF, bringing its clinical applications closer to reality. Beyond diagnostics, ISF is now being leveraged in therapeutic applications, particularly in precision medicine and drug delivery. Novel delivery strategies such as MNs, convection-enhanced delivery (CED), electroosmotic flow, and fiber-optic theranostics use ISF as both a conduit and a target environment, especially for conditions like solid tumors, where interstitial fluid pressure (IFP) plays a critical role in treatment efficacy. Simulated ISF models are also being developed to facilitate preclinical drug testing and improve translational success. This review emphasizes the mechanistic physiology of ISF from both human and preclinical/animal models, including its pressure regulation, transport dynamics, and simulated/computational modelling, as the foundation for next-generation drug delivery design. While diagnostic and sampling technologies are summarized for context, the review primarily explores how ISF dynamics guide targeted therapy and precision medicine. Overall, ISF offers a dynamic and responsive medium for next-generation medical applications, combining real-time physiological insight with localized therapeutic action. Furthermore, current research and technological advancements, emphasizing the transformative potential of ISF to bridge diagnostics, personalized therapy, as well as drug development and targeted delivery are reviewed herein.
Indexed as
Identifiers
41888504What Socratic 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 Socratic graph.