AraDQ: an automated digital phenotyping software for quantifying disease symptoms of flood-inoculated Arabidopsis seedlings.

BACKGROUND: Plant scientists have largely relied on pathogen growth assays and/or transcript analysis of stress-responsive genes for quantification of disease severity and susceptibility. These methods are destructive to plants, labor-intensive, and time-consuming, thereby limiting their application in real-time, large-scale studies. Image-based plant phenotyping is an alternative approach that enables automated measurement of various symptoms. However, most of the currently available plant image analysis tools require specific hardware platform and vendor specific software packages, and thus, are not suited for researchers who are not primarily focused on plant phenotyping. In this study, we aimed to develop a digital phenotyping tool to enhance the speed, accuracy, and reliability of disease quantification in Arabidopsis. RESULTS: Here, we present the Arabidopsis Disease Quantification (AraDQ) image analysis tool for examination of flood-inoculated Arabidopsis seedlings grown on plates containing plant growth media. It is a cross-platform application program with a user-friendly graphical interface that contains highly accurate deep neural networks for object detection and segmentation. The only prerequisite is that the input image should contain a fixed-sized 24-color balance card placed next to the objects of interest on a white background to ensure reliable and reproducible results, regardless of the image acquisition method. The image processing pipeline automatically calculates 10 different colors and morphological parameters for individual seedlings in the given image, and disease-associated phenotypic changes can be easily assessed by comparing plant images captured before and after infection. We conducted two case studies involving bacterial and plant mutants with reduced virulence and disease resistance capabilities, respectively, and thereby demonstrated that AraDQ can capture subtle changes in plant color and morphology with a high level of sensitivity. CONCLUSIONS: AraDQ offers a simple, fast, and accurate approach for image-based quantification of plant disease symptoms using various parameters. Its fully automated pipeline neither requires prior image processing nor costly hardware setups, allowing easy implementation of the software by researchers interested in digital phenotyping of diseased plants.

Integrative analysis of metabolite and transcriptome reveals biosynthetic pathway and candidate genes for eupatilin and jaceosidin biosynthesis in Artemisia argyi.

Artemisia argyi (A. argyi) is a medicinal plant belonging to the Asteraceae family and Artemisia genus. Flavonoids abundant in A. argyi are associated with anti-inflammatory, anticancer, and antioxidative effects. Eupatilin and jaceosidin are representative polymethoxy flavonoids with medicinal properties significant enough to warrant the development of drugs using their components. However, the biosynthetic pathways and related genes of these compounds have not been fully explored in A. argyi. This study comprehensively analyzed the transcriptome data and flavonoids contents from four different tissues of A. argyi (young leaves, old leaves, trichomes collected from stems, and stems without trichomes) for the first time. We obtained 41,398 unigenes through the de-novo assembly of transcriptome data and mined promising candidate genes involved in the biosynthesis of eupatilin and jaceosidin using differentially expressed genes, hierarchical clustering, phylogenetic tree, and weighted gene co-expression analysis. Our analysis led to the identification of a total of 7,265 DEGs, among which 153 genes were annotated as flavonoid-related genes. In particular, we were able to identify eight putative flavone-6-hydroxylase (F6H) genes, which were responsible for providing a methyl group acceptor into flavone basic skeleton. Furthermore, five O-methyltransferases (OMTs) gene were identified, which were required for the site-specific O-methylation during the biosynthesis of eupatilin and jaceosidin. Although further validation would be necessary, our findings pave the way for the modification and mass-production of pharmacologically important polymethoxy flavonoids through genetic engineering and synthetic biological approaches.

Immediate Vitrectomy for Acute Endophthalmitis in Patients with a Visual Acuity of Hand Motion or Better.

PURPOSE: To determine the efficacy of immediate pars plana vitrectomy as the primary treatment for acute endophthalmitis in patients with a visual acuity (VA) of hand motion (HM) or better. METHODS: A total of 149 patients who were referred to a single center for acute endophthalmitis after cataract surgery over the 13-year study period were retrospectively analyzed. Only patients presenting with a VA of at least HM were included. Patients were initially treated with either primary vitrectomy or intravitreal antibiotic injection alone, and their visual outcomes and reintervention rates after initial treatment were compared. RESULTS: There was no significant difference in the proportion of good (final VA ≥20 / 40) and poor (VA ≤ counting finger) visual outcomes between the groups. However, subgroup analysis of patients with a VA of HM (92 eyes) showed that the incidence of reintervention (14 of 72 eyes [19.4%] vs. 9 of 20 eyes [45.0%]) and poor visual outcomes (10 of 72 eyes [13.9%] vs. 8 of 20 eyes [40.0%]) were lower after prompt vitrectomy than after intravitreal antibiotic injection alone (p = 0.019 and p = 0.022, respectively). For those with a VA of at least counting finger, no significant difference was observed between the groups. CONCLUSIONS: For patients with endophthalmitis presenting with a VA of HM, performing a prompt vitrectomy reduced the incidence of reintervention and poor visual outcomes than the administration of intravitreal antibiotics alone. Our results suggest that primary vitrectomy for patients with endophthalmitis presenting with a VA of HM could be more beneficial than intravitreal antibiotic injection alone.

Translating CO[Formula: see text] variability in a plant growth system into plant dynamics.

Plant growth occurs owing to the continuous interactions between environmental and genetic factors, and the analysis of plant growth provides crucial information on plant responses. Recent agronomic and analytical methodologies for plant growth require various channels for capturing broader and more dynamic plant traits. In this study, we provide a method of non-invasive growth analyses by translating CO[Formula: see text] variability around a plant. We hypothesized that the cumulative coefficient of variation (CCV) of plant-driven ambient CO[Formula: see text] variation in a plant growth system could yield a numerical indicator that is connected to the plant growth dynamics. Using the system outside-plant growth system-plant coupled dynamic model, we found that the CCV could translate dynamic plant growth under environmental and biophysical constraints. Furthermore, we experimentally demonstrated the application of CCV by using non-airtight growth chamber systems. Our findings may enrich plant growth information channels and assist growers or researchers to analyze plant growth comprehensively.

A Hyperspectral Data 3D Convolutional Neural Network Classification Model for Diagnosis of Gray Mold Disease in Strawberry Leaves.

Gray mold disease is one of the most frequently occurring diseases in strawberries. Given that it spreads rapidly, rapid countermeasures are necessary through the development of early diagnosis technology. In this study, hyperspectral images of strawberry leaves that were inoculated with gray mold fungus to cause disease were taken; these images were classified into healthy and infected areas as seen by the naked eye. The areas where the infection spread after time elapsed were classified as the asymptomatic class. Square regions of interest (ROIs) with a dimensionality of 16 × 16 × 150 were acquired as training data, including infected, asymptomatic, and healthy areas. Then, 2D and 3D data were used in the development of a convolutional neural network (CNN) classification model. An effective wavelength analysis was performed before the development of the CNN model. Further, the classification model that was developed with 2D training data showed a classification accuracy of 0.74, while the model that used 3D data acquired an accuracy of 0.84; this indicated that the 3D data produced slightly better performance. When performing classification between healthy and asymptomatic areas for developing early diagnosis technology, the two CNN models showed a classification accuracy of 0.73 with regards to the asymptomatic ones. To increase accuracy in classifying asymptomatic areas, a model was developed by smoothing the spectrum data and expanding the first and second derivatives; the results showed that it was possible to increase the asymptomatic classification accuracy to 0.77 and reduce the misclassification of asymptomatic areas as healthy areas. Based on these results, it is concluded that the proposed 3D CNN classification model can be used as an early diagnosis sensor of gray mold diseases since it produces immediate on-site analysis results of hyperspectral images of leaves.

Towards greenhouse cultivation of Artemisia annua: The application of LEDs in regulating plant growth and secondary metabolism.

Artemisinin is a sesquiterpene lactone produced in glandular trichomes of Artemisia annua, and is extensively used in the treatment of malaria. Growth and secondary metabolism of A. annua are strongly regulated by environmental conditions, causing unstable supply and quality of raw materials from field grown plants. This study aimed to bring A. annua into greenhouse cultivation and to increase artemisinin production by manipulating greenhouse light environment using LEDs. A. annua plants were grown in a greenhouse compartment for five weeks in vegetative stage with either supplemental photosynthetically active radiation (PAR) (blue, green, red or white) or supplemental radiation outside PAR wavelength (far-red, UV-B or both). The colour of supplemental PAR hardly affected plant morphology and biomass, except that supplemental green decreased plant biomass by 15% (both fresh and dry mass) compared to supplemental white. Supplemental far-red increased final plant height by 23% whereas it decreased leaf area, plant fresh and dry weight by 30%, 17% and 7%, respectively, compared to the treatment without supplemental radiation. Supplemental UV-B decreased plant leaf area and dry weight (both by 7%). Interestingly, supplemental green and UV-B increased leaf glandular trichome density by 11% and 9%, respectively. However, concentrations of artemisinin, arteannuin B, dihydroartemisinic acid and artemisinic acid only exhibited marginal differences between the light treatments. There were no interactive effects of far-red and UV-B on plant biomass, morphology, trichome density and secondary metabolite concentrations. Our results illustrate the potential of applying light treatments in greenhouse production of A. annua to increase trichome density in vegetative stage. However, the trade-off between light effects on plant growth and trichome initiation needs to be considered. Moreover, the underlying mechanisms of light spectrum regulation on artemisinin biosynthesis need further clarification to enhance artemisinin yield in greenhouse production of A. annua.

Nutrient Dosing Framework for an Emission-Free Urban Hydroponic Production.

The urban hydroponic production system is accelerating industrialization in step with the potentials for reducing environmental impact. In contrast, establishing sustainable fertilizer dosing techniques still lags behind the pace of expansion of the system. The reproducibility of root-zone nutrient dynamics in the system is poorly understood, and managing nutrients has so far primarily relied on periodic discharge or dumping of highly concentrated nutrient solutions. Here, we assayed root-zone nutrient concentration changes using three possible nutrient dosing types. Three Brassica species were hydroponically cultivated in a controlled environment to apply the nutrient absorption and transpiration parameters to the simulation analysis. We found that nutrient dosing based on total ion concentration could provide more reproducible root-zone nutrient dynamics. Our findings highlight the nutrient absorption parameter domain in management practice. This simplifies conventional nutrient management into an optimization problem. Collectively, our framework can be extended to fertilizer-emission-free urban hydroponic production.

Measurement of Environmentally Influenced Variations in Anthocyanin Accumulations in Brassica rapa subsp. Chinensis (Bok Choy) Using Hyperspectral Imaging.

Dietary supplements of anthocyanin-rich vegetables have been known to increase potential health benefits for humans. The optimization of environmental conditions to increase the level of anthocyanin accumulations in vegetables during the cultivation periods is particularly important in terms of the improvement of agricultural values in the indoor farm using artificial light and climate controlling systems. This study reports on the measurement of variations in anthocyanin accumulations in leaf tissues of four different cultivars in Brassica rapa var. chinensis (bok choy) grown under the different environmental conditions of the indoor farm using hyperspectral imaging. Anthocyanin accumulations estimated by hyperspectral imaging were compared with the measured anthocyanin accumulation obtained by destructive analysis. Between hyperspectral imaging and destructive analysis values, no significant differences in anthocyanin accumulation were observed across four bok choy cultivars grown under the anthocyanin stimulation environmental condition, whereas the estimated anthocyanin accumulations displayed cultivar-dependent significant differences, suggesting that hyperspectral imaging can be employed to measure variations in anthocyanin accumulations of different bok choy cultivars. Increased accumulation of anthocyanin under the stimulation condition for anthocyanin accumulation was observed in "purple magic" and "red stem" by both hyperspectral imaging and destructive analysis. In the different growth stages, no significant differences in anthocyanin accumulation were found in each cultivar by both hyperspectral imaging and destructive analysis. These results suggest that hyperspectral imaging can provide comparable analytic capability with destructive analysis to measure variations in anthocyanin accumulation that occurred under the different light and temperature conditions of the indoor farm. Leaf image analysis measuring the percentage of purple color area in the total leaf area displayed successful classification of anthocyanin accumulation in four bok choy cultivars in comparison to hyperspectral imaging and destructive analysis, but it also showed limitation to reflect the level of color saturation caused by anthocyanin accumulation under different environmental conditions in "red stem," "white stem," and "green stem." Finally, our hyperspectral imaging system was modified to be applied onto the high-throughput plant phenotyping system, and its test to analyze the variation of anthocyanin accumulation in four cultivars showed comparable results with the result of the destructive analysis.

Phenolic constituents isolated from Senna tora sprouts and their neuroprotective effects against glutamate-induced oxidative stress in HT22 and R28 cells.

The consumption of sprouts has been steadily increasing due to their being an excellent source of nutrition. It is known that the bioactive constituents of legumes can be increased after germination. In this study, the extract from Senna tora sprouts is shown to exhibit improved radical scavenging activities and better neuroprotective effects in HT22 hippocampal neuronal (HT22) and R28 retina precursor (R28) cells than those from seeds due to an increased content of phenolic constituents, especially compounds 1 and 3-6. A phytochemical investigation of S. tora sprouts resulted in the isolation of two new naphthopyrone glycosides (1-2) with 27 previously reported compounds. Their structures were determined via interpreting spectroscopic data. Compounds 1 and 3-6 were found to possess radical scavenging activities and neuroprotective effects against oxidative stress in both neuronal cells. Hence, Senna tora sprouts and their constituents may be developed as natural neuroprotective agents via antioxidative effects.

Deep Learning-Based Cattle Vocal Classification Model and Real-Time Livestock Monitoring System with Noise Filtering.

The priority placed on animal welfare in the meat industry is increasing the importance of understanding livestock behavior. In this study, we developed a web-based monitoring and recording system based on artificial intelligence analysis for the classification of cattle sounds. The deep learning classification model of the system is a convolutional neural network (CNN) model that takes voice information converted to Mel-frequency cepstral coefficients (MFCCs) as input. The CNN model first achieved an accuracy of 91.38% in recognizing cattle sounds. Further, short-time Fourier transform-based noise filtering was applied to remove background noise, improving the classification model accuracy to 94.18%. Categorized cattle voices were then classified into four classes, and a total of 897 classification records were acquired for the classification model development. A final accuracy of 81.96% was obtained for the model. Our proposed web-based platform that provides information obtained from a total of 12 sound sensors provides cattle vocalization monitoring in real time, enabling farm owners to determine the status of their cattle.

Optimization of antioxidant, anti-diabetic, and anti-inflammatory activities and ganoderic acid content of differentially dried Ganoderma lucidum using response surface methodology.

The dried Ganoderma lucidum (GL) has been widely used for its pharmacological properties and bioactive ganoderic acids (GAs). Herein, extraction procedures combining ultra-sonication and heating were optimized using response surface methodology based on four variables (antioxidant activity, anti-diabetic activity, total GAs content, and total polysaccharide content) and principal component analysis. The extraction of freeze-dried GL at temperatures between 64.2 and 70 °C for 1.2 h maximized the antioxidant activity and GA content, whereas the polysaccharide content and anti-diabetic activity were maximized by extraction between 66.8 and 70 °C for more than 2.8 h. Heat-dried GL extracted at 50 °C for 3 h provided the greatest anti-inflammatory activity against HaCaT cells by suppressing the response to inflammation related cytokines at mRNA levels. These results suggest that extraction conditions might be a limiting factor for target-oriented investigations, and optimized extraction methods may improve the potential effect and quality of harvested GL products.

Transcriptome analysis of Panax ginseng response to high light stress.

BACKGROUND: Ginseng (Panax ginseng Meyer) is an essential source of pharmaceuticals and functional foods. Ginseng productivity has been compromised by high light (HL) stress, which is one of the major abiotic stresses during the ginseng cultivation period. The genetic improvement for HL tolerance in ginseng could be facilitated by analyzing its genetic and molecular characteristics associated with HL stress. METHODS: Genome-wide analysis of gene expression was performed under HL and recovery conditions in 1-year-old Korean ginseng (P. ginseng cv. Chunpoong) using the Illumina HiSeq platform. After de novo assembly of transcripts, we performed expression profiling and identified differentially expressed genes (DEGs). Furthermore, putative functions of identified DEGs were explored using Gene Ontology terms and Kyoto Encyclopedia of Genes and Genome pathway enrichment analysis. RESULTS: A total of 438 highly expressed DEGs in response to HL stress were identified and selected from 29,184 representative transcripts. Among the DEGs, 326 and 114 transcripts were upregulated and downregulated, respectively. Based on the functional analysis, most upregulated and a significant number of downregulated transcripts were related to stress responses and cellular metabolic processes, respectively. CONCLUSION: Transcriptome profiling could be a strategy to comprehensively elucidate the genetic and molecular mechanisms of HL tolerance and susceptibility. This study would provide a foundation for developing breeding and metabolic engineering strategies to improve the environmental stress tolerance of ginseng.

Residual Compressive Strength of Short Tubular Steel Columns with Artificially Fabricated Local Corrosion Damage.

Corrosion is considered as one of the main factors in the structural performance deterioration of steel members. In this study, experimental and numerical methods were used to assess the reduction in compressive strength of short tubular steel columns with artificially fabricated local corrosion damage. The corrosion damage was varied with different depths, heights, circumferences, and locations along the column. A parametric numerical study was performed to establish a correlation between the residual compressive strength and the severity of corrosion damage. The results showed that as the corrosion depth, height and circumference increased, the compressive strength decreased linearly. As for the corrosion height, the residual compressive strength became constant after decreasing linearly when the corrosion height was greater than the half-wavelength of buckling of the short columns. An equation is presented to evaluate the residual compressive strength of short columns with local corrosion wherein the volume of the corrosion damage was used as a reduction factor in calculating the compressive strength. The percentage error using the presented equation was found to be within 11.4%.

Fusion of Spectroscopy and Cobalt Electrochemistry Data for Estimating Phosphate Concentration in Hydroponic Solution.

Phosphate is a key element affecting plant growth. Therefore, the accurate determination of phosphate concentration in hydroponic nutrient solutions is essential for providing a balanced set of nutrients to plants within a suitable range. This study aimed to develop a data fusion approach for determining phosphate concentrations in a paprika nutrient solution. As a conventional multivariate analysis approach using spectral data, partial least squares regression (PLSR) and principal components regression (PCR) models were developed using 56 samples for calibration and 24 samples for evaluation. The R2 values of estimation models using PCR and PLSR ranged from 0.44 to 0.64. Furthermore, an estimation model using raw electromotive force (EMF) data from cobalt electrodes gave R2 values of 0.58-0.71. To improve the model performance, a data fusion method was developed to estimate phosphate concentration using near infrared (NIR) spectral and cobalt electrochemical data. Raw EMF data from cobalt electrodes and principle component values from the spectral data were combined. Results of calibration and evaluation tests using an artificial neural network estimation model showed that R2 = 0.90 and 0.89 and root mean square error (RMSE) = 96.70 and 119.50 mg/L, respectively. These values are sufficiently high for application to measuring phosphate concentration in hydroponic solutions.

LONG-TERM VISUAL CHANGES IN INITIALLY STRONGER FELLOW EYES IN PATIENTS WITH UNILATERAL TYPE 3 NEOVASCULARIZATION.

PURPOSE: To evaluate long-term visual changes in initially stronger fellow eyes in patients with unilateral Type 3 neovascularization. METHODS: This retrospective study included 102 patients who were newly diagnosed with unilateral Type 3 neovascularization and in whom the best-corrected visual acuity (BCVA) of the fellow eye was initially better than that of the involved eye. All patients were treated with intravitreal anti-vascular endothelial growth factor injections. The BCVAs were compared at diagnosis, 12 months, 24 months, and the final visit. In patients who experienced ≥3 lines of visual deterioration in the BCVA of the fellow eye, the reason for visual deterioration was also verified. RESULTS: The patients were followed for 45.9 ± 18.5 months after diagnosis. At diagnosis, the fellow-eye BCVA was better than that of the initially involved eye in all 102 patients. However, the fellow-eye visual acuity was the same or worse than that of the initially involved eye in 13 patients (12.7%) at 12 months, in 20 patients (19.6%) at 24 months, and in 24 patients (23.5%) at the final visit. At the final visit, 53 patients (51.9%) had experienced ≥3 lines of deterioration in the BCVA of the fellow eye. Fellow-eye neovascularization occurred in 42 patients, and geographic atrophy involving the fovea was noted in the remaining 11 patients. CONCLUSION: Deterioration of the visual acuity of the fellow eye is frequently noted in unilateral Type 3 neovascularization. As a result of this deterioration, the initially stronger fellow eye did not remain stronger in 23.5% of the patients, suggesting the need for long-term strict treatment of the initially involved eye even when the visual acuity of the fellow eye is good.

Exposure of kale root to NaCl and Na2SeO3 increases isothiocyanate levels and Nrf2 signalling without reducing plant root growth.

A plant factory is a closed cultivation system that provides a consistent and modified environment for plant growth. We speculated that treatment of kale (Brassica oleracea) grown in a plant factory with NaCl, Na2SeO3, or both would increase the bioactive phytochemical levels including glucosinolates (GLSs) and isothiocyanates (ITCs), the key molecules in cancer prevention. The kale was harvested and analysed after treatment with NaCl and Na2SeO3 alone or in combination for 1 or 2 weeks. Exposure to NaCl alone but not Na2SeO3 increased plant root growth. Levels of sinigrin were increased by a 2-week exposure to Na2SeO3 alone or in combination with NaCl, whereas no changes were observed in glucoraphanin and gluconasturtiin gluconasturtiin levels. Importantly, the ITC concentration was affected by 2-week treatment with both compounds. To evaluate the bioactivity of kale, HepG2 human hepatoma cells were treated with plant extract for 6 h. Only the extract of kale roots exposed to a combination NaCl and Na2SeO3 for 2 weeks showed an increased expression of nuclear factor erythroid 2-related factor (Nrf2), which regulates genes encoding antioxidant proteins. These data suggest that co-treatment with NaCl and Na2SeO3 increased the ITC content and chemopreventive effects of kale root.

MACULAR EDEMA AFTER CATARACT SURGERY IN EYES WITH PREOPERATIVE RETINAL VEIN OCCLUSION.

PURPOSE: To evaluate the incidence of pseudophakic macular edema (PME) in eyes with a history of retinal vein occlusion before cataract surgery and to identify any associated risk factors. METHODS: The records of 21,332 eyes that underwent cataract surgery were retrospectively reviewed. Eyes that had retinal vein occlusion preoperatively with no evidence of macular pathology on optical coherence tomography at the time of surgery and no macular edema treatment at least 6 months before surgery were included. Eyes with diabetes or diabetic retinopathy, those with a history of previous intraocular surgery or with intraoperative complications, and those administered glaucoma and nonsteroidal antiinflammatory eye drops were excluded. RESULTS: Pseudophakic macular edema developed in 31 (27.4%) of 113 eyes within 3 months of cataract surgery. Mean visual acuity for eyes with PME (0.48 logarithm of the minimum angle of resolution [logMAR; 20/60 Snellen equivalent]) at 3 months after surgery was significantly worse than that for eyes without PME (0.28 logMAR; 20/38, P = 0.020). However, there was no significant difference in the visual acuity between the 2 groups 6 months after the surgery. Taking into consideration various baseline factors, a history of previous treatment of macular edema was significantly associated with an increased risk of PME (odds ratio, 11.022; 95% confidence interval, 7.258-17.712; P = 0.009). A higher number of intravitreal injections used to treat macular edema also significantly increased the risk of PME (odds ratio, 1.902; 95% confidence interval, 1.032-4.227; P = 0.031). CONCLUSION: Pseudophakic macular edema frequently developed after phacoemulsification cataract surgery in patients with a history of retinal vein occlusion. The risk of PME further increased when the patient had undergone macular edema treatment and had a higher prevalence of intravitreal injection treatment.

INTRAVITREAL AFLIBERCEPT AND RANIBIZUMAB INJECTIONS FOR TYPE 3 NEOVASCULARIZATION.

PURPOSE: To compare the effectiveness of intravitreal injection of aflibercept with ranibizumab in patients with Type 3 neovascularization. METHODS: Sixty-three treatment-naive eyes with Type 3 neovascularization (58 patients) were retrospectively analyzed. The eyes had received intravitreal aflibercept or ranibizumab injections. All patients were treated using an initial series of three monthly loading injections, followed by further injections as required. The visual and anatomical outcomes of treatment were evaluated after 12 months. RESULTS: The mean best-corrected visual acuity in the aflibercept-treated group (21 eyes), expressed as the logarithm of the minimum angle of resolution, improved from 0.71 ± 0.42 (Snellen equivalent; 20/102) to 0.54 ± 0.39 (20/69) after 12 months of treatment (P = 0.022). Similarly, in the ranibizumab-treated group (42 eyes), the best-corrected visual acuity improved from 0.68 ± 0.38 (20/95) to 0.53 ± 0.36 (20/67) (P = 0.013) at 12 months. The central foveal thickness decreased in the aflibercept-treated group from 356 ± 139 µm to 212 ± 155 µm and in the ranibizumab-treated group from 348 ± 177 µm to 208 ± 161 µm (P = 0.014 and P = 0.017, respectively). There was no significant difference between the groups about improvement in best-corrected visual acuity or decrease in central foveal thickness. However, geographic atrophy was significantly more frequent in the aflibercept-treated group, occurring in 42.9% of eyes, than in the ranibizumab-treated group (19.0% of eyes; P = 0.045). CONCLUSION: There was no difference between the aflibercept and ranibizumab treatments in terms of visual acuity improvement after 12 months in patients with Type 3 neovascularization. However, geographic atrophy developed more frequently in the aflibercept-treated group.

Effect of Epiretinal Membranes on Antivascular Endothelial Growth Factor Treatment for Neovascular Age-Related Macular Degeneration.

PURPOSE: To evaluate the effect of epiretinal membranes (ERMs), detected with spectral-domain optical coherence tomography (SD-OCT), on the outcome of antivascular endothelial growth factor (VEGF) treatment for neovascular age-related macular degeneration (nAMD). METHODS: A total of 434 eyes with treatment-naive nAMD were retrospectively included and analyzed. All patients were administered an initial series of 3 monthly loading injections of ranibizumab or aflibercept, followed by further injections as required. The visual and anatomical outcomes were compared between the eyes with ERMs and those without. Features of ERMs at baseline assessed with SD-OCT were evaluated and correlated with visual outcomes. RESULTS: Sixty-eight eyes (15.7%) with nAMD presented ERMs at baseline. The mean best-corrected visual acuity (BCVA) of these eyes, expressed as the logarithm of the minimum angle of resolution, improved from 0.75 ± 0.48 (Snellen equivalent: 20/112) to 0.59 ± 0.44 (20/77) after 12 months of treatment (P = 0.021). Central foveal thickness also decreased from 381 ± 191 µm to 294 ± 167 µm (P < 0.001). Compared to the eyes without ERMs (366 eyes), the eyes with ERMs had a significantly thicker central fovea after treatment (P = 0.020). However, the intergroup differences in BCVA improvement were not significant. No significant association was found between visual outcome after treatment and ERM features on OCT at baseline. CONCLUSIONS: In eyes with nAMD, ERMs were infrequent. Central foveal thickness was significantly greater after anti-VEGF treatment in eyes with nAMD and ERMs. However, the presence of ERMs in eyes with nAMD did not affect visual outcome.

Chicoric acid attenuate a nonalcoholic steatohepatitis by inhibiting key regulators of lipid metabolism, fibrosis, oxidation, and inflammation in mice with methionine and choline deficiency.

SCOPE: Nonalcoholic fatty liver diseases (NAFLD) range histopathologically from hepatic steatosis to steatohepatitis. Chicoric acid has beneficial effects on obesity and liver injury, but its effects on nonalcoholic steatohepatitis (NASH) have not yet been determined. This study examined the effects of Crepidiastrum denticulatum extract (CDE) and its active compound chicoric acid in a mouse model of NASH and fibrosis. METHODS: CDE and chicoric acid were orally administrated to mice fed a methionine- and choline-deficient (MCD) diet. HepG2 and AML-12 cells in MCD medium were incubated with chicoric acid. MCD-fed mice developed the histopathological characteristics of human NASH, including altered regulation of lipid metabolism, inflammation, fibrosis, and oxidation-associated expression, along with augmented lipoperoxidation. Administration of CDE or chicoric acid to MCD-fed mice and HepG2 and AML-12 cells in MCD medium reduced oxidative stress by upregulating antioxidant enzymes and decreased inflammation by inhibiting proinflammatory cytokines and nuclear factor-κB activation. In addition, CDE or chicoric acid reduced fibrosis, apoptosis, and lipogenesis-related gene expression and increased AMP Kinase activation both in vivo and in vitro. CONCLUSIONS: CDE and chicoric acid may be effective in the treatment of NAFLD and NASH.