Metal–organic
frameworks (MOFs) derivatives had been widely
explored in electronic and environmental fields, but rarely evaluated
in the biomedical applications. Herein, Fe–N codoped carbon
(FeNC) nanoparticles were synthesized and characterized via facile
pyrolysis of precursor ZIF-8 (Fe/Zn) nanoparticles, and their potential
applications in tumor therapy were assessed in this investigation
both in vitro and in vivo. After PAA (sodium polyacrylate) modification,
the FeNC@PAA nanoparticles were able to initiate a Fe-based Fenton-like
reaction to generate ·OH and O2 for chemodynamic therapy
(CDT) and O2 evolution. Meanwhile, the porphyrin-like metal
center in the FeNC@PAA nanoparticles could be used as a photosensitizer
for photodynamic therapy (PDT) of tumors, which could be enhanced
by O2 generated in CDT. Furthermore, the FeNC@PAA nanoparticles
were also found to be effective in photothermal therapy (PTT) with
a photothermal conversion efficiency of 29.15%, owing to a high absorbance
in the near-infrared region (NIR). In conclusion, the synthesized
FeNC@PAA nanoparticles exhibited promising applications in O2 evolution and CDT/PDT/PTT synergistic treatment of tumors.
Tumorous vasculature plays key roles in sustaining tumor
growth.
Vascular disruption is accompanied by internal coagulation along with
platelet recruitment and the resulting suppression of oxygen supply.
We intend to artificially create this physiological process to establish
the mutual feedback between vascular disruption and platelet-mimicking
biotaxis for the cascade amplification of hypoxia-dependent therapy.
To prove this concept, mesoporous silica nanoparticles are co-loaded
with a hypoxia-activated prodrug (HAP) and a vessel-disruptive agent
and then coated with platelet membranes. Upon entering into tumors,
our nanotherapeutic can disrupt local vasculature for tumor inhibition.
This platelet membrane-coated nanoplatform shares the hemorrhage-tropic
function with parental platelets and can be persistently recruited
by the vasculature-disrupted tumors. In this way, the intratumoral
vascular disruption and tumor targeting are biologically interdependent
and mutually reinforced. Relying on this mutual feedback, tumorous
hypoxia was largely promoted by more than 20-fold, accounting for
the effective recovery of the HAP’s cytotoxicity. Consequently,
our bioinspired nanodesign has demonstrated highly specific and effective
antitumor potency via the biologically driven cooperation
among intratumoral vascular disruption, platelet-mimicking biotaxis,
cascade hypoxia amplification, and hypoxia-sensitive chemotherapy.
This study offers a paradigm of correlating the therapeutic design
with the physiologically occurring events to achieve better therapy
performance.
(1) Background: Plant electrical signals are important physiological traits which reflect plant physiological state. As a kind of phenotypic data, plant action potential (AP) evoked by external stimuli-e.g., electrical stimulation, environmental stress-may be associated with inhibition of gene expression related to stress tolerance. However, plant AP is a response to environment changes and full of variability. It is an aperiodic signal with refractory period, discontinuity, noise, and artifacts. In consequence, there are still challenges to automatically recognize and classify plant AP; (2) Methods: Therefore, we proposed an AP recognition algorithm based on dynamic difference threshold to extract all waveforms similar to AP. Next, an incremental template matching algorithm was used to classify the AP and non-AP waveforms; (3) Results: Experiment results indicated that the template matching algorithm achieved a classification rate of 96.0%, and it was superior to backpropagation artificial neural networks (BP-ANNs), supported vector machine (SVM) and deep learning method; (4) Conclusion: These findings imply that the proposed methods are likely to expand possibilities for rapidly recognizing and classifying plant action potentials in the database in the future.
Purpose
To find the potential relation between changes in retinal large vessels and terminal vessels using colour Doppler flow imaging (CDFI) and optical coherence tomography angiography (OCTA) and to compare the respective advantages of CDFI and OCTA in evaluating vascular changes in retinitis pigmentosa (RP) patients.
Methods
A prospective series of case study was conducted to enrol RP patients and age‐matched controls, who were, respectively, imaged by CDFI and OCTA. Repeatability and reproducibility of both CDFI and OCTA were performed among healthy volunteers. The central retinal artery (CRA) was detected by CDFI analysis to provide parameters of peak systolic velocity (PSV), end‐diastolic velocity (EDV) and time‐averaged maximum velocity (TAMV). Retinal parameters were evaluated from OCTA images, including vascular area density (VAD) of the superficial vascular layer, the fovea avascular zone (FAZ) area and retinal thickness. RP patients were separated into a high‐vision group and a low‐vision group, according to median vision (0.3, LogMAR 0.5). Multiple comparisons were used to analyse the data between groups. A correlation analysis was used to determine the correlation between CDFI and OCTA parameters.
Results
Twenty RP patients (40 eyes) and thirteen normal volunteers (26 eyes) were enrolled in this study. Repeatability and reproducibility of the measurements by CDFI had higher CVs, from 4.5% to 15.4%, than those measurements by OCTA (<5%). All the CDFI and OCTA parameters examined had significant reductions in RP patients compared to those in the controls (p < 0.01). Compared to the high‐vision group, the low‐vision group exhibited a statistically significant decrease in vascular parameters of the FAZ area, fovea VAD and parafovea nasal side VAD (p < 0.05); as well as in the parameters of the fovea thickness, and the parafovea nasal, superior and inferior side thickness (p < 0.05). From the correlation analysis, a significant association was found between the vision and CDFI parameters (PSV and time‐averaged maximum velocity (TAMX), p < 0.05), and the vision and OCTA parameters (FAZ area, fovea and nasal side VAD, retinal thickness in all sides, p < 0.05). PSV and TAMX of the CRA were closely related to the OCTA superficial VAD in all sides, whereas the CDFI parameters showed poor correlation with retinal thickness.
Conclusions
Colour Doppler flow imaging (CDFI) and OCTA parameters revealed a significant reduction in RP patients when compared to the controls. OCTA can detect vision‐related microvascular and thickness changes around the macula between high‐ and low‐vision groups, which happen earlier than the changes in large vessels. In addition to good repeatability and reproducibility, OCTA may have significant utility in the diagnosis and monitoring of disease progression in RP patients.
The limitations of conventional extracellular recording and intracellular recording make high-resolution multisite recording of plant bioelectrical activity in situ challenging. By combining a cooled charge-coupled device camera with a voltage-sensitive dye, we recorded the action potentials in the stem of Helianthus annuus and variation potentials at multiple sites simultaneously with high spatial resolution. The method of signal processing using coherence analysis was used to determine the synchronization of the selected signals. Our results provide direct visualization of the phloem, which is the distribution region of the electrical activities in the stem and leaf of H. annuus, and verify that the phloem is the main action potential transmission route in the stems of higher plants. Finally, the method of optical recording offers a unique opportunity to map the dynamic bioelectrical activity and provides an insight into the mechanisms of long-distance electrical signal transmission in higher plants.
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