Nanotechnology in inflammation: cutting-edge advances in diagnostics, therapeutics and theranostics

Theranostics, Год журнала: 2024, Номер 14(6), С. 2490 - 2525

Опубликована: Янв. 1, 2024

Inflammatory dysregulation is intimately associated with the occurrence and progression of many life-threatening diseases.Accurate detection timely therapeutic intervention on inflammatory are crucial for effective therapy inflammation-associated diseases.However, clinical outcomes inflammation-involved disorders still unsatisfactory.Therefore, there an urgent need to develop innovative anti-inflammatory strategies by integrating emerging technological innovations traditional therapeutics.Biomedical nanotechnology one promising fields that can potentially transform diagnosis treatment inflammation.In this review, we outline recent advances in biomedical inflammation, special attention paid nanosensors nanoprobes precise inflammation-related diseases, nanotherapeutics, as well nanotheranostics combined applications.Moreover, prospects challenges translation nanomedicines highlighted.

Язык: Английский

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Enhancing NIR‐II Upconversion Monochromatic Emission for Temperature Sensing

Small, Год журнала: 2024, Номер 20(27)

Опубликована: Янв. 28, 2024

The upconversion luminescence (UCL) in the second near-infrared window (NIR-II) is highly attractive due to its excellent performance high-resolution bioimaging, anticounterfeiting, and temperature sensing. However, upconvertion nanoparticles (UCNPs) are normally emitted visible light, potentially impacting imaging quality. Here, a monochromatic Er

Язык: Английский

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Improving Magnetic Resonance Imaging and Chemodynamic Therapy Properties via Tuning the Fe(II)/Fe(III) Ratio in Hydrophilic Single-Atom Nanobowls

ACS Nano, Год журнала: 2024, Номер 18(14), С. 10063 - 10073

Опубликована: Март 27, 2024

We developed an intrinsic hydrophilic single-atom iron nanobowl (Fe-SANB) for magnetic resonance imaging (MRI)-guided tumor microenvironment-triggered cancer therapy. Benefiting from the sufficient exposure of Fe single atoms and hydrophilicity bowl-shaped structure, Fe-SANBs exhibited a superior performance T1-weighted MRI with r1 value 11.48 mM–1 s–1, which is 3-fold higher than that commercial Gd-DTPA (r1 = 3.72 s–1). After further coembedding Gd in nanobowls, can be greatly improved to 19.54 s–1. In microenvironment (TME), trigger pH-induced Fenton-like activity generate highly toxic hydroxyl radicals high-efficiency chemodynamic therapy (CDT). Both CDT efficiency these nanobowls optimized by tuning ratio Fe(II)/Fe(III) via controlling calcination temperature. Furthermore, generation •OH at site accelerated photothermal effect Fe-SANBs, thus promoting efficacy. vitro vivo results confirmed our nanoplatform high contrast, robust biocompatibility, satisfactory treatment, providing potential MRI-guided TME-triggered precise

Язык: Английский

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Unconventional Imaging Methods in Psoriatic Arthritis

Current Rheumatology Reports, Год журнала: 2025, Номер 27(1)

Опубликована: Янв. 10, 2025

Abstract Purpose of Review Psoriatic arthritis (PsA) is a complex heterogeneous inflammatory disease that affects about one-third patients with psoriasis. PsA leads to significant physical impairment and reduced quality life. Therefore, early diagnosis intervention are critical for improving long-term outcomes. The purpose this review highlight the advantages unconventional imaging methods in management discuss recent advancements technology. Recent Findings Conventional methods, such as radiography, musculoskeletal ultrasound, magnetic resonance imaging, have been instrumental detecting structural joint damage inflammation. However, these modalities several limitations, resulting their inability detect changes. technology led development novel capable characterizing not only but also molecular aspects activity. These cutting-edge approaches lately applied both psoriasis patients, offering new insights into progression, transition from PsA, treatment responses. Summary By providing more detailed individualized assessments, may bring us closer realizing potential personalized medicine PsA.

Язык: Английский

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Metabolic and molecular imaging in inflammatory arthritis

RMD Open, Год журнала: 2024, Номер 10(1), С. e003880 - e003880

Опубликована: Фев. 1, 2024

It is known that metabolic shifts and tissue remodelling precede the development of visible inflammation structural organ damage in inflammatory rheumatic diseases such as arthritides. As such, visualising measuring activity could be useful to identify biomarkers disease already a very early phase. Recent advances imaging have led so-called ‘metabolic imaging’ tools can detect these changes metabolism an increasingly accurate manner non-invasively. Nuclear techniques 18 F-D-glucose fibroblast activation protein inhibitor-labelled positron emission tomography are used yielded impressing results visualisation (including whole-body staging) both established arthritis. Furthermore, optical imaging-based bedside multispectral optoacoustic fluorescence advancing our understanding arthritis by identifying intra-articular correlate with onset high precision without need ionising radiation. Metabolic holds great potential for improving management patients contributing interception diagnostic accuracy, thereby paving way more personalised approach therapy strategies including preventive strategies. In this narrative review, we discuss state-of-the-art methods assessment inflammation, advocate extensive research endeavours elucidate their full field application rheumatology.

Язык: Английский

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Multistage deep learning methods for automating radiographic sharp score prediction in rheumatoid arthritis

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Янв. 27, 2025

The Sharp-van der Heijde score (SvH) is crucial for assessing joint damage in rheumatoid arthritis (RA) through radiographic images. However, manual scoring time-consuming and subject to variability. This study proposes a multistage deep learning model predict the Overall Sharp Score (OSS) from hand X-ray framework involves four stages: image preprocessing, segmentation with UNet, identification via YOLOv7, OSS prediction utilizing custom Vision Transformer (ViT). Evaluation metrics included Intersection over Union (IoU), Mean Absolute Error (MAE), Root Squared (RMSE), Huber loss, Intraclass Correlation Coefficient (ICC). was trained using stratified group 3-fold cross-validation on dataset of 679 patients tested externally 291 subjects. achieved 99% accuracy. ViT best scores < 50. It loss 4.9, an RMSE 9.73, MAE 5.35, demonstrating strong correlation expert (ICC = 0.702, P 0.001). first apply RA. presents efficient automated alternative overall assessment. approach may reduce reliance scoring.

Язык: Английский

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Imaging inflammation with leukocyte-targeted PET tracers

Nature Reviews Rheumatology, Год журнала: 2025, Номер unknown

Опубликована: Март 26, 2025

Язык: Английский

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AI in psoriatic disease (“PsAI”): Current insights and future directions

Clinical Rheumatology, Год журнала: 2025, Номер unknown

Опубликована: Апрель 2, 2025

Язык: Английский

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Strategy for the Development and Utilization of Food and Medicine Continuum in the Food Industry

Food Reviews International, Год журнала: 2025, Номер unknown, С. 1 - 19

Опубликована: Апрель 3, 2025

Язык: Английский

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Imaging in the diagnosis and management of peripheral psoriatic arthritis: Update and recent advances

Best Practice & Research Clinical Rheumatology, Год журнала: 2025, Номер unknown, С. 102061 - 102061

Опубликована: Апрель 1, 2025

Язык: Английский

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