ReviewLuminescence : the journal of biological and chemical luminescence2026
Aggregation-Induced Emission Luminogens: Emerging Theranostic Platforms for Pulmonary Diseases.
Review in Luminescence : the journal of biological and chemical luminescence, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Despite advancements in medical technology, pulmonary diseases such as refractory infections and lung cancer persist as leading causes of death globally, primarily due to the paucity of early diagnostic biomarkers and the nonspecific nature of systemic therapies. Aggregation-induced emission (AIE) luminogens offer a paradigm shift, overcoming the inherent limitations of traditional fluorophores through their unique aggregation-enhanced emission mechanism. This review highlights the evolution of AIE-based theranostic platforms tailored for respiratory medicine. We showcase how AIE probes achieve high-fidelity imaging and in situ photothermal/photodynamic ablation of pulmonary pathogens, alongside their capacity to guide surgical resection and potentiate immunotherapy in lung cancer. Key challenges hindering clinical translation, such as deep-tissue light penetration and scalable manufacturing, are critically evaluated. Ultimately, this work underscores the potential of intelligent AIE systems to revolutionize the precision management of pulmonary pathologies through multidisciplinary convergence.
Indexed as
Identifiers
What 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.