Evidence mapPaperPMID 42439704Full record

ReviewCells2026

From Biomaterials to Biological State Engineering: Reframing Advanced Wound Dressings as Adaptive Therapeutic Interfaces in Translational Medicine.

Tomasz Urbanowicz, Judyta Cielecka-Piontek, Krzysztof J Filipiak, Anna Witkowska, Ewelina Grywalska, Mansur Rahnama, Zbigniew Krasiński

Abstract readReview
In one paragraph

Review in Cells, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Tomasz UrbanowiczCardiac Surgery and Transplantology Department, Poznan University of Medical Sciences, ½ Dluga Street, 61-848 Poznan, Poland.ORCID 0000-0001-8080-2764
Judyta Cielecka-PiontekDepartment of Pharmacognosy and Biomaterials, Poznan University of Medical Sciences, Rokietnicka 3, 60-806 Poznan, Poland.ORCID 0000-0003-0891-5419
Krzysztof J FilipiakThe Center of Postgraduate Medical Education, 99/103 Marymoncka Street, 01-813 Warsaw, Poland.ORCID 0000-0002-6563-0877
Anna WitkowskaCardiac Surgery and Transplantology Department, Poznan University of Medical Sciences, ½ Dluga Street, 61-848 Poznan, Poland.
Ewelina GrywalskaDepartment of Experimental Immunology, Faculty of Medical Sciences, Medical University of Lublin, 6 Chodźki Street, 20-093 Lublin, Poland.
Mansur RahnamaDepartment of Dental Surgery, Medical University of Lublin, 6 Chodźki Street, 20-093 Lublin, Poland.
Zbigniew KrasińskiDepartment of Vascular, Endovascular Surgery, Angiology and Phlebology, Poznan University of Medical Science, ½ Dluga Street, 61-848 Poznan, Poland.ORCID 0000-0002-2798-1959

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic wounds remain a major global health challenge despite substantial advances in biomaterials, regenerative medicine, and wound-care technologies. Current therapeutic strategies are largely based on the assumption that chronic wounds represent impaired or incomplete healing responses and therefore require augmentation of regenerative processes. This paradigm has driven the development of increasingly sophisticated wound dressings incorporating extracellular matrix analogs, growth factors, stem cells, extracellular vesicles, biosensors, and bioelectronic components. However, the clinical impact of these innovations has often fallen short of expectations. In this review, we propose a conceptual framework intended to generate experimentally testable hypotheses rather than provide a definitive mechanistic model. Persistent alterations in immune, stromal, vascular, extracellular matrix, metabolic, mechanical, and microbial networks create interconnected feedback systems that resist transition toward regeneration. From this perspective, successful therapy requires not only stimulation of repair mechanisms but also disruption of the processes that stabilize chronicity. We discuss how advances in systems biology, immunomodulatory biomaterials, bioelectronics, artificial intelligence, and precision medicine support the emergence of adaptive therapeutic interfaces capable of sensing, interpreting, and reprogramming pathological tissue behavior. Unlike previous reviews that primarily summarize emerging wound dressings or regenerative biomaterials, this Review proposes a systems-level conceptual framework in which chronic wounds are interpreted as stable pathological tissue states maintained by multiscale biological memory. This perspective integrates biomaterials, systems biology, artificial intelligence, and tissue-state dynamics into a unified translational model that has not previously been presented in the wound-healing literature. Previous reviews have predominantly focused on the design, biological activity, or clinical performance of individual biomaterials. In contrast, the present Review proposes a systems-level framework that integrates wound biology, biological memory, tissue-state dynamics, artificial intelligence, and adaptive biomaterials into a unified conceptual model for precision wound medicine. This state-based model reframes advanced wound dressings as tools for biological state engineering and provides a translational framework for the future of chronic wound management.

Indexed as

BandagesBiocompatible MaterialsTranslational Research, BiomedicalWound HealingAnimalsHumansRegenerative MedicineBiocompatible Materialsadaptive therapeutic interfacesartificial intelligencebiological memorybiological state engineeringbiomaterialschronic woundspathological tissue statesprecision wound medicineregenerative medicinesystems biology

Identifiers

PMID42439704
PMCPMC13360015

What Socratic holds

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Registered trials

None linked

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.