<scp>Near‐Infrared</scp>Fluorescent Nanoprobe for Detecting Hydrogen Peroxide in Inflammation and Ischemic Kidney Injury

Xu, Lingfeng; Sun, Linhui; Zeng, Fang; Wu, Shuizhu

doi:10.1002/cjoc.202000166

Cited by 10 publications

(6 citation statements)

References 64 publications

(66 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Wu's group designed and synthesized a nanoprobe for detection of H 2 O 2 , which was formed through boronate ester groups between probe 44 and hydrophilic polyphenol tannic acid as well as the hydrophobic interaction. [ 126 ] The boronate ester was cleaved in the presence of H 2 O 2 , and the hydrophobic product was generated with bright AIE fluorescence. This nanoprobe was utilized to detect endogenous and exogenous H 2 O 2 in living cells.…”

Section: Aiegens For Analysis Of Small Moleculesmentioning

confidence: 99%

Activity‐based smart AIEgens for detection, bioimaging, and therapeutics: Recent progress and outlook

et al. 2021

View full text Add to dashboard Cite

Activity‐based approaches for designing AIEgens possess prominent advantages including high selectivity, sensitivity, and signal‐to‐noise ratio, and they have received more attention in recent years. Excellent activatable AIE probes have been reported for detecting toxic substances, imaging intracellular active molecules/biomolecules, as well as monitoring the activity of overexpressed enzymes in cancers. Moreover, the majority of activatable theranostic AIEgens can be specifically triggered in cancer cells and can kill these cells under light irradiation, while they have no distinct effect on normal cells, demonstrating satisfactory therapeutic selectivity that is superior to that of traditional chemotherapy. Thus, in this review, we systematically summarized the development of activatable AIE bioprobes in recent years from molecular design principles to biological applications. The challenges of activatable AIE probes and the corresponding solutions are described. We hope that the information provided in this review will facilitate the design of more activatable AIE probes to promote practical application of corresponding AIEgens.

show abstract

Section: Aiegens For Analysis Of Small Moleculesmentioning

confidence: 99%

Activity‐based smart AIEgens for detection, bioimaging, and therapeutics: Recent progress and outlook

et al. 2021

View full text Add to dashboard Cite

show abstract

“…In addition to O 2 .- , other RONS are also used for early diagnosis of AKI through NIF imaging, like H 2 O 2 and ONOO - . Recently, Xu et al developed a NIF nanoprobe (TA-TPABQ) to detect H 2 O 2 in ischemic AKI 94 . TA-TPABQ was composed of a hydrophobic photosensitizer (1-(3-boronbenzyl)-4-(2-(4'-(diphenylamine)-[1,1'-biphenyl]-4-Base) vinyl) quinoline-1-salt, TPABQ) and hydrophilic natural polyphenol tannic acid (TA).…”

Section: Rons Imaging Probesmentioning

confidence: 99%

Emerging early diagnostic methods for acute kidney injury

Xiao¹,

Huang²,

Yang³

et al. 2022

Theranostics

View full text Add to dashboard Cite

Many factors such as trauma and COVID-19 cause acute kidney injury (AKI). Late AKI have a very high incidence and mortality rate. Early diagnosis of AKI provides a critical therapeutic time window for AKI treatment to prevent progression to chronic renal failure. However, the current clinical detection based on creatinine and urine output isn't effective in diagnosing early AKI. In recent years, the early diagnosis of AKI has made great progress with the advancement of information technology, nanotechnology, and biomedicine. These emerging methods are mainly divided into two aspects: First, predicting AKI through models construct by machine learning; Second, early diagnosis of AKI through detection of newly-discovered early biomarkers. Currently, these methods have shown great potential and become an attractive tool for the early diagnosis of AKI. Therefore, it is very important to discuss and summarize these methods for the early diagnosis of AKI. In this review, we first systematically summarize the application of machine learning in AKI prediction algorithms and specific scenarios. In addition, we introduce the key role of early biomarkers in the progress of AKI, and then comprehensively summarize the application of emerging detection technologies for early AKI. Finally, we discuss current challenges and prospects of machine learning and biomarker detection. The review is expected to provide new insights for early diagnosis of AKI, and provided important inspiration for the design of early diagnosis of other major diseases.

show abstract

“…By contrast, molecular probe‐based fluorescence imaging methods, featured with high sensitivity and selectivity, real‐time and noninvasive in vivo visualizing abilities, have drawn tremendous interest in biological and life sciences. [ 14‐18 ] Thanks to the rapid evolution of activity‐based sensing (ABS), [ 19‐22 ] several kinds of efficient FA‐participated reactions, such as amino/hydrazine‐FA condensation, [ 23‐26 ] FA‐induced aza‐Cope rearrangement, [ 27‐34 ] and FA‐induced spiroaminal formation, [ 35‐36 ] have been widely harnessed to construct a great body of fluorescence probes for the detection of FA in vitro and in vivo . Regrettably, to the best of our knowledge, none of these probes can satisfy the requirements for FA detection in the AD brain due to the poor blood‐brain barrier (BBB) crossing ability.…”

Section: Background and Originality Contentmentioning

confidence: 99%

Revealing Formaldehyde Fluxes in Alzheimer's Disease Brain by an Activity‐Based Fluorescence Probe

et al. 2022

View full text Add to dashboard Cite

Formaldehyde (FA) plays critical roles in Alzheimer's disease and the associations between FA and Alzheimer's disease (AD) are still obscure. To reveal FA fluxes in the Alzheimer's disease brain, an activity-based fluorescence probe NP-FA with superb blood-brain barrier permeable abilities was exquisitely designed. The probe responded to FA with significant fluorescence increases (F/F0 = 81), thus laying the foundation for the sensitive detection of FA in cuvette and in vivo. Moreover, the probe also possessed some fascinating performances, including endoplasmic reticulum (ER)-targeting abilities, good one-photon/two-photon absorption properties, and appropriate hydrophobicity property (log P = 2.34±0.05). As a result, the probe can readily reflect the overproduction of FA content in live cells under ER stress by high-fidelity two-photon imaging. More interestingly, ex vivo imaging of AD brains and two-photon imaging of AD slice tissues visually disclosed that the FA level of AD brain is much higher than that of the normal brain. This work afforded a specific activity-based probe for the imaging of FA in the AD mouse brains, which could be further extended to FA-related studies in Alzheimer's disease.

show abstract

Near‐InfraredFluorescent Nanoprobe for Detecting Hydrogen Peroxide in Inflammation and Ischemic Kidney Injury

Cited by 10 publications

References 64 publications

Activity‐based smart AIEgens for detection, bioimaging, and therapeutics: Recent progress and outlook

Activity‐based smart AIEgens for detection, bioimaging, and therapeutics: Recent progress and outlook

Emerging early diagnostic methods for acute kidney injury

Revealing Formaldehyde Fluxes in Alzheimer's Disease Brain by an Activity‐Based Fluorescence Probe

Contact Info

Product

Resources

About