ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2022
Monitoring Wound Healing with Topically Applied Optical NanoFlare mRNA Nanosensors.
Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed.
- Atomic Interface Engineering in Two-Dimensional Materials: A Pathway to High-Performance Flexible Thermoelectrics.Chemical record (New York, N.Y.) · 2026Review
- The strategies and advances of mRNA translation booster.Asian journal of pharmaceutical sciences · 2025Review
- Carbon nanomaterials: Exploring new frontiers in wound healing therapy.Bioengineering & translational medicine · 2025Review
- Thermoelectric porous laser-induced graphene-based strain-temperature decoupling and self-powered sensing.Nature communications · 2025Article
- Smart photonic crystal hydrogels for visual glucose monitoring in diabetic wound healing.Journal of nanobiotechnology · 2024Article
- Novel Biomaterials for Wound Healing and Tissue Regeneration.ACS omega · 2024Review
- Exploring the wound healing potential of dietary nitrate in diabetic rat model.Frontiers in physiology · 2024Article
- HucMSC-Exo Induced N2 Polarization of Neutrophils: Implications for Angiogenesis and Tissue Restoration in Wound Healing.International journal of nanomedicine · 2024Article
- Effect of nanoshell geometries, sizes, and quantum emitter parameters on the sensitivity of plasmon-exciton hybrid nanoshells for sensing application.Scientific reports · 2023Article
- Colonizing microbiota is associated with clinical outcomes in diabetic wound healing.Advanced drug delivery reviews · 2023Review
- Monitoring Wound Healing with Topically Applied Optical NanoFlare mRNA Nanosensors.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors.
Funding
Abstract
An effective wound management strategy needs accurate assessment of wound status throughout the whole healing process. This can be achieved by examining molecular biomarkers including proteins, DNAs, and RNAs. However, existing methods for quantifying these biomarkers such as immunohistochemistry and quantitative polymerase chain reaction are usually laborious, resource-intensive, and disruptive. This article reports the development and utilization of mRNA nanosensors (i.e., NanoFlare) that are topically applied on cutaneous wounds to reveal the healing status through targeted and semi-quantitative examination of the mRNA biomarkers in skin cells. In 2D and 3D in vitro models, the efficacy and efficiency of these nanosensors are demonstrated in revealing the dynamic changes of mRNA biomarkers for different stages of wound development. In mouse models, this platform permits the tracking and identification of wound healing stages and a normal and diabetic wound healing process by wound healing index in real time.
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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.