Construction of a pectin/sodium alginate composite hydrogel delivery system for improving the bioaccessibility of phycocyanin.

In this study, different concentrations of sodium alginate were compounded with pectin and phycocyanin to co-prepare composite hydrogel spheres (HP-PC-SA 0.2 %, 0.6 %, 1.0 %, 1.4 %) to evaluate the potential of the composite hydrogel spheres for the application as phycocyanin delivery carriers. The hydrogel spheres' physicochemical properties and bioaccessibility were assessed through scanning electron microscopy, textural analysis, drug-carrying properties evaluation, and in vitro and in vivo controlled release analysis in the gastrointestinal environment. Results indicated that higher sodium alginate concentrations led to smaller pore sizes and denser networks on the surface of hydrogel spheres. The textural properties of hydrogel spheres improved, and their water-holding capacity increased from 93.01 % to 97.97 %. The HP-PC-SA (1.0 %) formulation achieved the highest encapsulation rate and drug loading capacity, at 96.87 % and 6.22 %, respectively. Within the gastrointestinal tract, the composite hydrogel's structure significantly enhanced and protected the phycocyanin's digestibility, achieving a bioaccessibility of up to 88.03 %. In conclusion, our findings offer new insights into improving functionality and the effective use of phycocyanin via pectin-based hydrogel spheres.

Chronic exposure to cortisone induces thyroid endocrine disruption and retinal dysfunction in adult female zebrafish (Danio rerio).

Cortisone has a large content in rivers because of its wide range of medical applications and elimination by organisms that naturally secrete it. As a steroid hormone, cortisone is recognized as a novel endocrine disruptor. Although ecotoxicological effects of the reproductive endocrine system have mainly been reported recently, thyroid endocrine in fish remains relatively less understood. Here, adult female zebrafish were exposed to cortisone at 0.0 (control), 3.2, 38.7, and 326.9 ng/L for 60 days. Evidence in this study came from fish behavior, hormone levels, gene expression, histological and morphological examinations. The results showed that THs (thyroid hormone) level disruption and pathohistological changes occurred in the thyroid gland, which may account for the gene expression changes in the hypothalamus-pituitary-thyroid gland axis. Specifically, more conversion of T4 (thyroxine) to T3 (triiodothyronine) led to an increased TSH (thyroid stimulating hormone) level in plasma. Severe thyroid tissue damage mainly occurred in the zebrafish exposed to 326.9 ng/L of cortisone. Meanwhile, consistent with the THs trend, the fish locomotion activity displayed more anxiety and excitement, the partial blockage of GABA (γ - aminobutyric acid) synthetic pathway genes might be the explanation of the underlying mechanism. Cortisone affected the gene expressions in the visual cycle and the circadian rhythm network also suggested interactions between thyroid endocrine disruption, retinal dysfunction, and abnormal behaviors of zebrafish. In summary, these findings suggest chronic exposure to cortisone induced various adverse effects in adult female zebrafish, which may help us better understand the risk of cortisone to fish in the wild.

PI3K/AKT/mTOR pathway-derived risk score exhibits correlation with immune infiltration in uveal melanoma patients.

Uveal melanoma (UVM) is a rare but highly aggressive intraocular tumor with a poor prognosis and limited therapeutic options. Recent studies have implicated the PI3K/AKT/mTOR pathway in the pathogenesis and progression of UVM. Here, we aimed to explore the potential mechanism of PI3K/AKT/mTOR pathway-related genes (PRGs) in UVM and develop a novel prognostic-related risk model. Using unsupervised clustering on 14 PRGs profiles, we identified three distinct subtypes with varying immune characteristics. Subtype A demonstrated the worst overall survival and showed higher expression of human leukocyte antigen, immune checkpoints, and immune cell infiltration. Further enrichment analysis revealed that subtype A mainly functioned in inflammatory response, apoptosis, angiogenesis, and the PI3K/AKT/mTOR signaling pathway. Differential analysis between different subtypes identified 56 differentially expressed genes (DEGs), with the major enrichment pathway of these DEGs associated with PI3K/AKT/mTOR. Based on these DEGs, we developed a consensus machine learning-derived signature (RSF model) that exhibited the best power for predicting prognosis among 76 algorithm combinations. The novel signature demonstrated excellent robustness and predictive ability for the overall survival of patients. Moreover, we observed that patients classified by risk scores had distinguishable immune status and mutation. In conclusion, our study identified a consensus machine learning-derived signature as a potential biomarker for prognostic prediction in UVM patients. Our findings suggest that this signature is correlated with tumor immune infiltration and may serve as a valuable tool for personalized therapy in the clinical setting.

Mechanism of simultaneous lead and chromium removal from contaminated wastewater by a schwertmannite-like mineral.

In this study, a schwertmannite-like mineral was synthesized for the removal of lead (Pb) and chromium (Cr) from contaminated wastewater. A shaking flask test was performed (150 r/min, 1 h) with FeSO4·7H2O, H2O2, Na2SiO3, and CaCl2 added for the mineral synthesis reaction. Results show that optimal performance was achieved with the addition of 1.24 g/L FeSO4·7H2O, 0.75 g/L H2O2, 1.27 g/L Na2SiO3, and 0.44 g/L CaCl2 at a water temperature of 28 °C, with coexisting ion (Na+, K+, Mg2+) concentrations of 1.50 mmol/L and 0.50 mmol/L EDTA as a complexing agent. Under these optimal conditions, maximum Pb and Cr removal rates of 95.08% and 97.99%, respectively, were achieved within the first 1 min of the mineral synthesis reaction, with the synthesis reaction completed by 6 min. The simultaneous removal of Pb and Cr during the schwertmannite-like material synthesis process occurred via electrostatic adsorption and coprecipitation. When the concentration of the complexing agent was increased from 0.75 to 6.03 mmol/L, the Pb removal rate decreased from 71.88 to 35.45%, and the Cr removal rate decreased from 95.13 to 75.07%, showing that Pb and Cr removal exhibited significant levels of inhibition. In contrast, varying reaction temperatures induced no significant differences. The Pb and Cr dissolution rates from Pb/Cr-containing schwertmannite-like minerals were 8.18% and 2.86% after 40 days, respectively. Therefore, the risk of secondary dissolution of heavy metals is small.

Integrated Airborne LiDAR Data and Imagery for Suburban Land Cover Classification Using Machine Learning Methods.

It is valuable to study the land use/land cover (LULC) classification for suburbs. The fusion of Light Detection and Ranging (LiDAR) data and aerial imagery is often regarded as an effective method for the LULC classification; however, more in-depth analysis would be required to explore effective information for enhancing the suburban LULC classification. In this study, first, both aerial imageries and point clouds were simultaneously collected. Then, LiDAR-derived models, i.e., normalized digital surface model (nDSM) and surface intensity model (IM), were generated from the elevation and intensity of point clouds. Further, considering the surface characteristics of ground objects in suburb, we proposed a new LiDAR-derived model, namely surface roughness model (RM), to reveal the degree of surface fluctuations. Additionally, various combinations of aerial imageries and the LiDAR-derived data were used to analyze the effects of multi-variable fusion under different scenarios and optimize the multi-variable integration for suburban LULC classification. The mean decrease impurity method was used to identify the importance of variables; three machine learning classifiers, i.e., random forest (RF), k-nearest neighbor (KNN) and artificial neural network (ANN) were adopted in various scenarios. The results were as follows. The fusion of aerial imagery and all the LiDAR-derived models, i.e., nDSM, RM and IM, with RF classifier performs best in the suburban LULC classification (overall accuracy = 84.75%, kappa coefficient = 0.80). Variable importance analysis shows that nDSM has the highest variable importance proportion (VIP) value, followed by RM, IM, and spectral information, indicating the feasibility of this proposed LiDAR-derived model-RM. This research presents effective methods relating to the application of aerial imagery and LiDAR-derived model for the complex suburban surface scenarios.

Effects of Curcumin on Epidermal Growth Factor in Proliferative Vitreoretinopathy.

BACKGROUND/AIMS: Proliferative vitreoretinopathy (PVR) is a common refractory eye disease that causes blindness and occurs after retinal detachment or retinal reattachment. Epidermal growth factor (EGF) has been shown to play an important role in the migration and proliferation of retinal pigment epithelium (RPE) cells, which promote PVR. Curcumin inhibits RPE cell proliferation, but it is not known whether it participates in the formation of PVR. Curcumin regulates the biological functions of EGF, which plays important roles in the development of PVR. This study aimed to evaluate the effect of curcumin on the regulation of EGF in PVR. METHODS: Rabbit RPE cells were cultured, and EGF expression was detected by immunocytochemistry. MTT assay was conducted to determine cell proliferation induced by different concentrations of EGF. Immunocytochemical staining was used to detect EGF expression after treatment with curcumin at varying concentrations. Real-time PCR (RT-PCR) and western blot analysis were used to detect the concentrations of EGF mRNA and protein after treatment with curcumin. After RPE cells and curcumin were injected into experimental rabbit eyes, the cornea, aqueous humor, lens, and vitreous opacity were observed and recorded simultaneously by indirect ophthalmoscopy, fundus color photography, and B-ultrasonography. The vitreous body was extracted, and the EGF content in the vitreous humor was measured by enzyme-linked immunosorbent assay (ELISA). RESULTS: At each time point (24, 48, and 72 h), cell proliferation gradually increased with increasing EGF concentrations (0, 3, 6, and 9 ng/mL) in a dose-dependent manner. Cell proliferation between EGF concentrations of 9 and 12 ng/mL were no different, which suggested that 9 ng/mL EGF was the best concentration to use to stimulate RPE cell proliferation in vitro. Under all EGF concentrations (0, 3, 6, 9, and 12 ng/mL), RPE cell proliferation increased with time (from 24 to 72 h), suggesting a time-effect relationship. Curcumin downregulated EGF expression in RPE cells, which also indicated time-effect and dose-effect relationships. The best curcumin concentration for the inhibition of EGF expression was 15 µg/mL. RT-PCR and western blot analyses indicated that the EGF mRNA and expression of the protein in RPE cells treated with curcumin significantly decreased with time. Ocular examinations revealed that the vitreous opacity was lower and the proliferative membrane was thinner in the curcumin group compared with the control group. The PVR grade and the incidence of retinal detachment were significantly lower in the experimental group than in the control group. ELISA results showed that the EGF content in vitreous humor was higher in the control group than in the curcumin group. The curcumin and control groups were significantly different at each time point. CONCLUSION: Curcumin inhibited RPE cell proliferation by downregulating EGF and thus effectively inhibited the initiation and development of PVR.