Photoacoustic Imaging Endometriosis Lesions with Nanoparticulate Polydopamine as a Contrast Agent

Quanjie Lv, Yili Zhang, Ruihao Yang, Yingfan Dai, Yu Lin, Lin Yu, Kang Sun, Hong Xu, Ke Tao
Advanced healthcare materials · 2023 · vol. 13(2) , pp. e2302175 · doi:10.1002/adhm.202302175 · PMID:37742067 · W4386993710
article OA: closed CC0 ⤵ 6 in-corpus citations
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This study demonstrates that photoacoustic imaging with polydopamine nanoparticles can noninvasively detect endometriosis lesions and monitor therapeutic responses by generating distinct photoacoustic signals.

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Abstract

Endometriosis (EM) is a prevalent and debilitating gynecological disorder primarily affecting women of reproductive age. The diagnosis of EM is historically hampered by delays, owing to the absence of reliable diagnostic and monitoring techniques. Herein, it is reported that photoacoustic imaging can be a noninvasive modality for deep-seated EM by employing a hyaluronic-acid-modified polydopamine (PDA@HA) nanoparticle as the contrast agent. The PDA@HA nanoparticles exhibit inherent absorption and photothermal effects when exposed to near-infrared light, proficiently converting thermal energy into sound waves. Leveraging the targeting properties of HA, distinct photoacoustic signals emanating from the periphery of orthotopic EM lesions are observed. These findings are corroborated through anatomical observations and in vivo experiments involving mice with green fluorescent protein-labeled EM lesions. Moreover, the changes in photoacoustic intensity over a 24 h period reflect the dynamic evolution of PDA@HA nanoparticle biodistribution. Through the utilization of a photoacoustic ultrasound modality, in vivo assessments of EM lesion volumes are conducted. This innovative approach not only facilitates real-time monitoring of the therapeutic kinetics of candidate drugs but also obviates the need for the sacrifice of experimental mice. As such, this study presents a promising avenue for enhancing the diagnosis and drug-screening processes of EM.

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Condition tags

endometriosis

MeSH descriptors

Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Indoles Indoles Indoles Indoles Indoles Indoles Indoles Indoles Nanoparticles Nanoparticles Nanoparticles

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Papers in the corpus that this work cites (lower rings, blue) and that cite this one (upper rings, green). Dot size scales with the paper's in-corpus citation count — bigger dot = more influential within the endo/adeno field. Click a dot to open that paper. [ expand to 2 hops ] — adds papers reached through this work's immediate citers/citees. Heavier; up to 60 extra dots.

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