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- 저자 : Ru-Yin Huang (검색결과 5 건)
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Yun-Ru Chen,Ruo-Tong Zhao,Yi-Fang Xu,Yin-Jie Ma,Shao-Bo Hu,Xue-Hui Wang,Bing-Bing Fan,Yan-Ji Zhou,Yu-Bei Huang,Nicola Robinson,Jian-ping Liu,Zhao-Lan Liu 한국한의학연구원 2023 Integrative Medicine Research Vol.12 No.4
Background: Advanced pancreatic cancer (APC) is a fatal disease with limited treatment options. This study aims to evaluate the effectiveness and safety of different Chinese herbal injections (CHIs) as adjuvants for radiotherapy (RT) in APC and compare their treatment potentials using network meta-analysis. Methods: We systematically searched three English and four Chinese databases for randomized controlled trials (RCTs) from inception to July 25, 2023. The primary outcome was the objective response rate (ORR). Secondary outcomes included Karnofsky performance status (KPS) score, overall survival (OS), and adverse events (AEs). The treatment potentials of different CHIs were ranked using the surface under the cumulative ranking curve (SUCRA). The Cochrane RoB 2 tool and CINeMA were used for quality assessment and evidence grading. Results: Eighteen RCTs involving 1199 patients were included. Five CHIs were evaluated. Compound Kushen injection (CKI) combined with RT significantly improved ORR compared to RT alone (RR 1.49, 95 % CrI 1.21–1.86). Kanglaite (KLT) plus RT (RR 1.58, 95 % CrI 1.20–2.16) and CKI plus RT (RR 1.49, 95 % CrI 1.16–1.95) were associated with improved KPS score compared to radiation monotherapy, with KLT+RT being the highest rank (SUCRA 72.28 %). Regarding AEs, CKI plus RT was the most favorable in reducing the incidence of leukopenia (SUCRA 90.37 %) and nausea/vomiting (SUCRA 85.79 %). Conclusions: CKI may be the optimal choice of CHIs to combine with RT for APC as it may improve clinical response, quality of life, and reduce AEs. High-quality trials are necessary to establish a robust body of evidence. Protocol registration: PROSPERO, CRD42023396828.
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Shi Wei Huang,Yuan Yin,Ya Juan Zheng,Ya Ru Dong 대한독성 유전단백체 학회 2015 Molecular & cellular toxicology Vol.11 No.1
Exposure to ischemia/reperfusion leads to the development and progression of retinal degenerative diseases. However, the exact mechanisms are not fully understood. In this article, the role of CIC-3 chloride channel in OGD-R (oxygen-glucose deprivation followed by reperfusion)-induced retinal damage was examined. Mouse photoreceptor-derived 661W cells were treated with the CIC-3 antisense oligonucleotide before exposure to OGD-R. Cell viability, mitochondrial membrane potential, cytochrome-c level, DNA fragmentation, caspase activity and protein expression were detected. Pretreatment of 661W cells with CIC- 3 antisense oligonucleotide significantly decreased OGD-R-mediated toxicity. In addition, apoptosis-related biochemical indicators showed that pre-incubation of CIC-3 antisense oligonucleotide would elevate the mitochondrial membrane potential, decrease the release of cytochrome-c as well as formation of DNA fragmentation, and inhibit activities of caspase-3 and caspase- 9 in exogenous OGD-R-treated 661W cells. Moreover, treatment with CIC-3 antisense oligonucleotide changed the expression of apoptosis-related protein. These results suggest that CIC-3 chloride channel mediates OGD-R-induced apoptosis, at least partially through mitochondrial membrane potential pathway and increasing the levels of proapoptotic molecules in 661W cells. CIC-3 chloride channel blockade may provide a new therapeutic approach for preventing ischemia/reperfusion- induced retinal neural damage.
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Zhang, Yong,Jia, Ru,Ji, Cheng,Ma, Qiugang,Huang, Jin,Yin, Haicheng,Liu, Laiting Asian Australasian Association of Animal Productio 2014 Animal Bioscience Vol.27 No.7
An experiment was conducted to evaluate the effects of dietary alpha-lipoic acid (LA) and acetyl-L-carnitine (ALC) on growth performance, carcass characteristics and meat quality in Arbor Acres broilers. A total of 486 1-d-old male Arbor Acres broilers were randomly allocated to 9 dietary treatments, 9 treatments were group A (0 mg/kg LA and 0 mg/kg ALC), group B (50 mg/kg LA and 0 mg/kg ALC), group C (100 mg/kg LA and 0 mg/kg ALC), group D (0 mg/kg LA and 50 mg/kg ALC), group E (50 mg/kg LA and 50 mg/kg ALC), group F (100 mg/kg LA and 50 mg/kg ALC), group G (0 mg/kg LA and 100 mg/kg ALC), group H (50 mg/kg LA and 100 mg/kg ALC), group I (100 mg/kg LA and 100 mg/kg ALC). Birds were slaughtered at 42 days old. Average daily gain (ADG), average feed intake (AFI), feed conversion rate (FCR), eviscerated rate, breast muscle percentage, thigh muscle percentage, abdominal fat percentage, liver weight, muscle color ($L^*$ value, $a^*$ value, $b^*$ value), pH values at 45 min and 24 h postmortem were measured. Results showed that there existed an interaction between LA and ALC in growth performance of broilers, carcass traits and meat quality. The overall result is that high level of LA and ALC led to lower AFI, ADG (p<0.01), lower abdominal fat percentage, liver weight (p<0.01), lower $L^*$ value, $a^*$ value, and $b^*$ value of breast muscle, $L^*$ value of thigh muscle (p<0.05), and higher FCR (p<0.01), eviscerated rate (p<0.01), breast muscle percentage, thigh muscle percentage (p<0.05), $a^*$ value, pH 45 min and pH 24 h of thigh muscle (p<0.01). These results suggested that dietary LA and ALC contributed to the improvement of meat quality in broilers.
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The Quantitative Evaluation of Automatic Segmentation in Lumbar Magnetic Resonance Images
Yao-Wen Liang,Yu-Ting Fang,Ting-Chun Lin,Cheng-Ru Yang,Chih-Chang Chang,Hsuan-Kan Chang,Chin-Chu Ko,Tsung-Hsi Tu,Li-Yu Fay,Jau-Ching Wu,Wen-Cheng Huang,Hsiang-Wei Hu,You-Yin Chen,Chao-Hung Kuo 대한척추신경외과학회 2024 Neurospine Vol.21 No.2
Objective: This study aims to overcome challenges in lumbar spine imaging, particularly lumbar spinal stenosis, by developing an automated segmentation model using advanced techniques. Traditional manual measurement and lesion detection methods are limited by subjectivity and inefficiency. The objective is to create an accurate and automated segmentation model that identifies anatomical structures in lumbar spine magnetic resonance imaging scans. Methods: Leveraging a dataset of 539 lumbar spinal stenosis patients, the study utilizes the residual U-Net for semantic segmentation in sagittal and axial lumbar spine magnetic resonance images. The model, trained to recognize specific tissue categories, employs a geometry algorithm for anatomical structure quantification. Validation metrics, like Intersection over Union (IOU) and Dice coefficients, validate the residual U-Net’s segmentation accuracy. A novel rotation matrix approach is introduced for detecting bulging discs, assessing dural sac compression, and measuring yellow ligament thickness. Results: The residual U-Net achieves high precision in segmenting lumbar spine structures, with mean IOU values ranging from 0.82 to 0.93 across various tissue categories and views. The automated quantification system provides measurements for intervertebral disc dimensions, dural sac diameter, yellow ligament thickness, and disc hydration. Consistency between training and testing datasets assures the robustness of automated measurements. Conclusion: Automated lumbar spine segmentation with residual U-Net and deep learning exhibits high precision in identifying anatomical structures, facilitating efficient quantification in lumbar spinal stenosis cases. The introduction of a rotation matrix enhances lesion detection, promising improved diagnostic accuracy, and supporting treatment decisions for lumbar spinal stenosis patients.
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