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Xu W, Wu YH, Zhou WW, Chen HM, Zhang BL, Chen JM, Xu W, Rao DQ, Zhao H, Yan F, Yuan Z, Jiang K, Jin JQ, Hou M, Zou D, Wang LJ, Zheng Y, Li JT, Jiang J, Zeng XM, Chen Y, Liao ZY, Li C, Li XY, Gao W, Wang K, Zhang DR, Lu C, Yin T, Ding Z, Zhao GG, Chai J, Zhao WG, Zhang YP, Wiens JJ, Che J. Hidden hotspots of amphibian biodiversity in China. Proc Natl Acad Sci U S A 2024; 121:e2320674121. [PMID: 38684007 PMCID: PMC11098104 DOI: 10.1073/pnas.2320674121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Accepted: 03/21/2024] [Indexed: 05/02/2024] Open
Abstract
Identifying and protecting hotspots of endemism and species richness is crucial for mitigating the global biodiversity crisis. However, our understanding of spatial diversity patterns is far from complete, which severely limits our ability to conserve biodiversity hotspots. Here, we report a comprehensive analysis of amphibian species diversity in China, one of the most species-rich countries on Earth. Our study combines 20 y of field surveys with new molecular analyses of 521 described species and also identifies 100 potential cryptic species. We identify 10 hotspots of amphibian diversity in China, each with exceptional species richness and endemism and with exceptional phylogenetic diversity and phylogenetic endemism (based on a new time-calibrated, species-level phylogeny for Chinese amphibians). These 10 hotspots encompass 59.6% of China's described amphibian species, 49.0% of cryptic species, and 55.6% of species endemic to China. Only four of these 10 hotspots correspond to previously recognized biodiversity hotspots. The six new hotspots include the Nanling Mountains and other mountain ranges in South China. Among the 186 species in the six new hotspots, only 9.7% are well covered by protected areas and most (88.2%) are exposed to high human impacts. Five of the six new hotspots are under very high human pressure and are in urgent need of protection. We also find that patterns of richness in cryptic species are significantly related to those in described species but are not identical.
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Affiliation(s)
- Wei Xu
- Key Laboratory of Genetic Evolution and Animal Models, and Yunnan Key Laboratory of Biodiversity and Ecological Conservation of Gaoligong Mountain, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan650223, China
| | - Yun-He Wu
- Key Laboratory of Genetic Evolution and Animal Models, and Yunnan Key Laboratory of Biodiversity and Ecological Conservation of Gaoligong Mountain, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan650223, China
- Southeast Asia Biodiversity Research Institute, Chinese Academy of Sciences, Yezin, Nay Pyi Taw 05282, Myanmar
| | - Wei-Wei Zhou
- Key Laboratory of Genetic Evolution and Animal Models, and Yunnan Key Laboratory of Biodiversity and Ecological Conservation of Gaoligong Mountain, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan650223, China
| | - Hong-Man Chen
- Key Laboratory of Genetic Evolution and Animal Models, and Yunnan Key Laboratory of Biodiversity and Ecological Conservation of Gaoligong Mountain, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan650223, China
| | - Bao-Lin Zhang
- Key Laboratory of Genetic Evolution and Animal Models, and Yunnan Key Laboratory of Biodiversity and Ecological Conservation of Gaoligong Mountain, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan650223, China
| | - Jin-Min Chen
- Key Laboratory of Genetic Evolution and Animal Models, and Yunnan Key Laboratory of Biodiversity and Ecological Conservation of Gaoligong Mountain, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan650223, China
| | - Weihua Xu
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing100085, China
| | - Ding-Qi Rao
- Key Laboratory of Genetic Evolution and Animal Models, and Yunnan Key Laboratory of Biodiversity and Ecological Conservation of Gaoligong Mountain, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan650223, China
| | - Haipeng Zhao
- School of Life Sciences, Henan University, Kaifeng475004, China
| | - Fang Yan
- Key Laboratory of Genetic Evolution and Animal Models, and Yunnan Key Laboratory of Biodiversity and Ecological Conservation of Gaoligong Mountain, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan650223, China
| | - Zhiyong Yuan
- Key Laboratory of Genetic Evolution and Animal Models, and Yunnan Key Laboratory of Biodiversity and Ecological Conservation of Gaoligong Mountain, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan650223, China
| | - Ke Jiang
- Key Laboratory of Genetic Evolution and Animal Models, and Yunnan Key Laboratory of Biodiversity and Ecological Conservation of Gaoligong Mountain, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan650223, China
| | - Jie-Qiong Jin
- Key Laboratory of Genetic Evolution and Animal Models, and Yunnan Key Laboratory of Biodiversity and Ecological Conservation of Gaoligong Mountain, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan650223, China
| | - Mian Hou
- Institute of Continuing Education, Sichuan Normal University, Chengdu610068, China
| | - Dahu Zou
- Key Laboratory of Genetic Evolution and Animal Models, and Yunnan Key Laboratory of Biodiversity and Ecological Conservation of Gaoligong Mountain, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan650223, China
- College of Science, Tibet University, Lhasa850000, China
| | - Li-Jun Wang
- School of Life Sciences, Hainan Normal University, Haikou571158, China
| | - Yuchi Zheng
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu610041, China
| | - Jia-Tang Li
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu610041, China
| | - Jianping Jiang
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu610041, China
| | - Xiao-Mao Zeng
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu610041, China
| | - Youhua Chen
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu610041, China
| | - Zi-Yan Liao
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu610041, China
| | - Cheng Li
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu610041, China
| | - Xue-You Li
- Key Laboratory of Genetic Evolution and Animal Models, and Yunnan Key Laboratory of Biodiversity and Ecological Conservation of Gaoligong Mountain, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan650223, China
| | - Wei Gao
- Key Laboratory of Genetic Evolution and Animal Models, and Yunnan Key Laboratory of Biodiversity and Ecological Conservation of Gaoligong Mountain, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan650223, China
| | - Kai Wang
- Key Laboratory of Genetic Evolution and Animal Models, and Yunnan Key Laboratory of Biodiversity and Ecological Conservation of Gaoligong Mountain, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan650223, China
- Southeast Asia Biodiversity Research Institute, Chinese Academy of Sciences, Yezin, Nay Pyi Taw 05282, Myanmar
| | - Dong-Ru Zhang
- Key Laboratory of Genetic Evolution and Animal Models, and Yunnan Key Laboratory of Biodiversity and Ecological Conservation of Gaoligong Mountain, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan650223, China
| | - Chenqi Lu
- Key Laboratory of Genetic Evolution and Animal Models, and Yunnan Key Laboratory of Biodiversity and Ecological Conservation of Gaoligong Mountain, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan650223, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming650204, China
| | - Tingting Yin
- Key Laboratory of Genetic Evolution and Animal Models, and Yunnan Key Laboratory of Biodiversity and Ecological Conservation of Gaoligong Mountain, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan650223, China
| | - Zhaoli Ding
- Key Laboratory of Genetic Evolution and Animal Models, and Yunnan Key Laboratory of Biodiversity and Ecological Conservation of Gaoligong Mountain, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan650223, China
| | - Gui-Gang Zhao
- Key Laboratory of Genetic Evolution and Animal Models, and Yunnan Key Laboratory of Biodiversity and Ecological Conservation of Gaoligong Mountain, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan650223, China
| | - Jing Chai
- Key Laboratory of Genetic Evolution and Animal Models, and Yunnan Key Laboratory of Biodiversity and Ecological Conservation of Gaoligong Mountain, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan650223, China
| | - Wen-Ge Zhao
- Department of Biology, College of Life and Environment Science, Harbin Normal University, Harbin150080, China
| | - Ya-Ping Zhang
- Key Laboratory of Genetic Evolution and Animal Models, and Yunnan Key Laboratory of Biodiversity and Ecological Conservation of Gaoligong Mountain, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan650223, China
| | - John J. Wiens
- Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ85721-0088
| | - Jing Che
- Key Laboratory of Genetic Evolution and Animal Models, and Yunnan Key Laboratory of Biodiversity and Ecological Conservation of Gaoligong Mountain, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan650223, China
- Southeast Asia Biodiversity Research Institute, Chinese Academy of Sciences, Yezin, Nay Pyi Taw 05282, Myanmar
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Wu D, Lee P, Chen H, Yan F, Huang J, He Y, Wu R, Yuan Z. Validation and development of eDNA metabarcoding primers for comprehensive assessment of Chinese amphibians. Integr Zool 2024. [PMID: 38730493 DOI: 10.1111/1749-4877.12832] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/13/2024]
Abstract
Environmental DNA (eDNA) metabarcoding has emerged as a powerful, non-invasive tool for biodiversity assessments. However, the accuracy and limitations of these assessment techniques are highly dependent on the choice of primer pairs being used. Although several primer sets have been used in eDNA metabarcoding studies of amphibians, there are few comparisons of their reliability and efficiency. Here, we employed lab- and field-tested sets of publicly available and de novo-designed primers in amplifying 83 species of amphibian from all three orders (Anura, Caudata, and Gymnophiona) and 13 families present in China to evaluate the versatility and specificity of these primers sets in amphibian eDNA metabarcoding studies. Three pairs of primers were highly effective, as they could successfully amplify all the major clades of Chinese amphibians in our study. A few non-amphibian taxa were also amplified by these primers, which implies that further optimization of amphibian-specific primers is still needed. The simultaneous use of three primer sets can completely cover all the species obtained by conventional survey methods and has even effectively distinguished quite a number of species (n = 20) in the Wenshan National Nature Reserve. No single primer set could individually detect all of the species from the studied region, indicating that multiple primers might be necessary for a comprehensive survey of Chinese amphibians. Besides, seasonal variations in amphibian species composition were also revealed by eDNA metabarcoding, which was consistent with traditional survey methods. These results indicate that eDNA metabarcoding has the potential to be a powerful tool for studying spatial and temporal community changes in amphibian species richness.
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Affiliation(s)
- Dongyi Wu
- Integrative Science Center of Germplasm Creation in Western China (CHONGQING) Science City, Southwest University, Chongqing, China
- Key Laboratory of Freshwater Fish Reproduction and Development (Ministry of Education), School of Life Sciences, Southwest University, Chongqing, China
- Key Laboratory for Conserving Wildlife with Small Populations in Yunnan, Southwest Forestry University, Kunming, Yunnan, China
| | - Pingshin Lee
- Anhui Provincial Key Laboratory of the Conservation and Exploitation of Biological Resources, College of Life Sciences, Anhui Normal University, Wuhu, Anhui, China
| | - Hongman Chen
- College of Animal Science and Technology, Yunnan Agricultural University, Kunming, China
| | - Fang Yan
- School of Life Sciences, Yunnan University, Kunming, Yunnan, China
| | - Jiayue Huang
- Swedish University of Agricultural Sciences, Uppsala, Sweden
| | - Yanhong He
- Key Laboratory of Freshwater Fish Reproduction and Development (Ministry of Education), School of Life Sciences, Southwest University, Chongqing, China
- Key Laboratory for Conserving Wildlife with Small Populations in Yunnan, Southwest Forestry University, Kunming, Yunnan, China
| | - Ruiyao Wu
- Integrative Science Center of Germplasm Creation in Western China (CHONGQING) Science City, Southwest University, Chongqing, China
| | - Zhiyong Yuan
- Integrative Science Center of Germplasm Creation in Western China (CHONGQING) Science City, Southwest University, Chongqing, China
- Key Laboratory of Freshwater Fish Reproduction and Development (Ministry of Education), School of Life Sciences, Southwest University, Chongqing, China
- Key Laboratory for Conserving Wildlife with Small Populations in Yunnan, Southwest Forestry University, Kunming, Yunnan, China
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Hong Y, Yuan Z, Liu X. Global drivers of the conservation-invasion paradox. Conserv Biol 2024:e14290. [PMID: 38708868 DOI: 10.1111/cobi.14290] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Revised: 02/15/2024] [Accepted: 02/22/2024] [Indexed: 05/07/2024]
Abstract
The conservation-invasion paradox (CIP) refers to a long-term phenomenon wherein species threatened in their native range can sustain viable populations when introduced to other regions. Understanding the drivers of CIP is helpful for conserving threatened species and managing invasive species, which is unfortunately still lacking. We compiled a global data set of 1071 introduction events, including 960 CIP events (successful establishment of threatened species outside its native range) and 111 non-CIP events (unsuccessful establishment of threatened species outside its native range after introduction), involving 174 terrestrial vertebrates. We then tested the relative importance of various predictors at the location, event, and species levels with generalized linear mixed models and model averaging. Successful CIP events occurred across taxonomic groups and biogeographic realms, especially for the mammal group in the Palearctic and Australia. Locations of successful CIP events had fewer native threat factors, especially less climate warming in invaded regions. The probability of a successful CIP event was highest when species introduction efforts were great and there were more local congeners and fewer natural enemies. These results can inform threatened species ex situ conservation and non-native invasive species mitigation.
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Affiliation(s)
- Yanhua Hong
- Key Laboratory for Conserving Wildlife with Small Populations in Yunnan, Southwest Forestry University, Kunming, China
- Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- Key Laboratory of Freshwater Fish Reproduction and Development, Ministry of Education, Southwest University, Chongqing, China
| | - Zhiyong Yuan
- Key Laboratory for Conserving Wildlife with Small Populations in Yunnan, Southwest Forestry University, Kunming, China
- Key Laboratory of Freshwater Fish Reproduction and Development, Ministry of Education, Southwest University, Chongqing, China
| | - Xuan Liu
- Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
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Jia M, Wei Z, Gao F, Jiang M, Wang W, Yuan Z, Pogue BW. Time-gated single-pixel imaging of Cherenkov emission from a medical linear accelerator. Opt Lett 2024; 49:2425-2428. [PMID: 38691735 DOI: 10.1364/ol.518624] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Accepted: 04/01/2024] [Indexed: 05/03/2024]
Abstract
Cherenkov imaging is an ideal tool for real-time in vivo verification of a radiation therapy dose. Given that radiation is pulsed from a medical linear accelerator (LINAC) together with weak Cherenkov emissions, time-gated high-sensitivity imaging is required for robust measurements. Instead of using an expensive camera system with limited efficiency of detection in each pixel, a single-pixel imaging (SPI) approach that maintains promising sensitivity over the entire spectral band could be used to provide a low-cost and viable alternative. A prototype SPI system was developed and demonstrated here in Cherenkov imaging of LINAC dose delivery to a water tank. Validation experiments were performed using four regular fields and an intensity-modulated radiotherapy (IMRT) delivery plan. The Cherenkov image-based projection percent depth dose curves (pPDDs) were compared to pPDDs simulated by the treatment planning system (TPS), with an overall average error of 0.48, 0.42, 0.65, and 1.08% for the 3, 5, 7, and 9 cm square beams, respectively. The composite image of the IMRT plan achieved a 85.9% pass rate using 3%/3 mm gamma index criteria, in comparing Cherenkov intensity and TPS dose. This study validates the feasibility of applying SPI to the Cherenkov imaging of radiotherapy dose for the first time to our knowledge.
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Wang J, Jia J, Liu J, Yao X, Yuan Z. Apatinib beyond first progression is associated with prolonged overall survival in patients with advanced breast cancer: Results from an observational study. Exp Ther Med 2024; 27:200. [PMID: 38590562 PMCID: PMC11000069 DOI: 10.3892/etm.2024.12488] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Accepted: 02/20/2024] [Indexed: 04/10/2024] Open
Abstract
In the present study, the efficacy and safety of a low dose of apatinib in the treatment of patients with advanced breast cancer (ABC) in a real-world setting were assessed, the impact of continuous anti-angiogenic therapy beyond progression was determined and the factors associated with efficacy were evaluated. A total of 63 patients with ABC who were treated with apatinib and for whom several lines of treatment had failed were retrospectively analyzed in Tangshan People's Hospital (Tangshan, China) between January 2016 and October 2022. Apatinib was administered orally combined with chemotherapy, endocrine therapy, targeted therapy or monotherapy at a dose of 250 mg per day. Apatinib administration was continued in certain patients beyond first progressive disease (PD), and these patients were defined as the continued anti-angiogenic treatment beyond first progression (CABF) group, while those who discontinued apatinib were defined as the non-CABF group. In the evaluation of the first efficacy, the objective response rate was 33.3%. A total of 26 patients continued to receive apatinib post-first PD and were allocated to the CABF group. The median overall survival (OS) time of the 63 patients was 16 months. Log-rank univariate analysis revealed that the OS time was significantly associated with molecular subtype (P=0.014), CABF (P=0.004), and the neutrophil-to-lymphocyte ratio (NLR) (P=0.011). Multivariate Cox regression analysis revealed that being in the non-CABF group and a high NLR were independent risk factors for lower OS time (P=0.017 and P=0.041, respectively). These results support the continued administration of low-dose apatinib beyond progression and the use of NLR as an easily accessible prognostic marker in patients with ABC treated with apatinib.
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Affiliation(s)
- Jing Wang
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute and Hospital, Key Laboratory of Cancer Prevention and Therapy, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin 300060, P.R. China
- Department of Chemoradiotherapy, North China University of Science and Technology Affiliated Hospital, Tangshan, Hebei 063000, P.R. China
- Department of Chemoradiotherapy, Tangshan People's Hospital, Tangshan, Hebei 063000, P.R. China
| | - Jinghao Jia
- Department of Chemoradiotherapy, North China University of Science and Technology Affiliated Hospital, Tangshan, Hebei 063000, P.R. China
| | - Jingjing Liu
- Department of Chemoradiotherapy, Tangshan People's Hospital, Tangshan, Hebei 063000, P.R. China
| | - Xuemin Yao
- Department of Chemoradiotherapy, North China University of Science and Technology Affiliated Hospital, Tangshan, Hebei 063000, P.R. China
| | - Zhiyong Yuan
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute and Hospital, Key Laboratory of Cancer Prevention and Therapy, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin 300060, P.R. China
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An P, Zhao J, Du B, Zhao W, Zhang T, Yuan Z. Amplitude-Time Dual-View Fused EEG Temporal Feature Learning for Automatic Sleep Staging. IEEE Trans Neural Netw Learn Syst 2024; 35:6492-6506. [PMID: 36215384 DOI: 10.1109/tnnls.2022.3210384] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Electroencephalogram (EEG) plays an important role in studying brain function and human cognitive performance, and the recognition of EEG signals is vital to develop an automatic sleep staging system. However, due to the complex nonstationary characteristics and the individual difference between subjects, how to obtain the effective signal features of the EEG for practical application is still a challenging task. In this article, we investigate the EEG feature learning problem and propose a novel temporal feature learning method based on amplitude-time dual-view fusion for automatic sleep staging. First, we explore the feature extraction ability of convolutional neural networks for the EEG signal from the perspective of interpretability and construct two new representation signals for the raw EEG from the views of amplitude and time. Then, we extract the amplitude-time signal features that reflect the transformation between different sleep stages from the obtained representation signals by using conventional 1-D CNNs. Furthermore, a hybrid dilation convolution module is used to learn the long-term temporal dependency features of EEG signals, which can overcome the shortcoming that the small-scale convolution kernel can only learn the local signal variation information. Finally, we conduct attention-based feature fusion for the learned dual-view signal features to further improve sleep staging performance. To evaluate the performance of the proposed method, we test 30-s-epoch EEG signal samples for healthy subjects and subjects with mild sleep disorders. The experimental results from the most commonly used datasets show that the proposed method has better sleep staging performance and has the potential for the development and application of an EEG-based automatic sleep staging system.
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Song W, Ye L, Tang Q, Lu X, Huang X, Xie M, Yu S, Yuan Z, Chen L. Rev-erbα attenuates refractory periapical periodontitis via M1 polarization: An in vitro and in vivo study. Int Endod J 2024; 57:451-463. [PMID: 38279698 DOI: 10.1111/iej.14024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Revised: 01/04/2024] [Accepted: 01/07/2024] [Indexed: 01/28/2024]
Abstract
AIM Rev-erbα has been reported to regulate the healing of inflammatory lesions through its effect on the immune system in a variety of inflammatory disease. Moreover, the balance of macrophages polarization plays a crucial role in immune response and inflammatory progression. However, in refractory periapical periodontitis (RAP), the role of Rev-erbα in inflammatory response and bone resorption by regulating macrophage polarization remains unclarified. The aims of the present study were to investigate the expression of Rev-erbα in experimental RAP and to explore the relationship between Rev-erbα and macrophage polarization through the application of its pharmacological agonist SR9009 into the in vivo and in vitro experiments. METHODOLOGY Enterococcus faecalis-induced RAP models were established in SD rats. Histological staining and micro-computed tomography scanning were used to evaluate osteoclastogenesis and alveolar bone resorption. The expression of Rev-erbα and macrophage polarization were detected in the periapical tissues from rats by immunofluorescence, flow cytometry, and western blots. Furthermore, immunohistochemical staining and enzyme-linked immunosorbent assay were performed to explore the relationship between Rev-erbα and inflammatory cytokines related to macrophage polarization. RESULT Compared to healthy periapical tissue, the expression of Rev-erbα was significantly down-regulated in macrophages from inflammatory periapical area, especially in Enterococcus faecalis-induced periapical lesions, with obvious type-1 macrophage (M1)-like dominance and the production of pro-inflammatory cytokines. In addition, Rev-erbα activation by SR9009 could induce type-2 macrophage (M2)-like polarization in periapical tissue and THP1 cell line, followed by increased secretion of anti-inflammatory cytokines IL-10 and TGF-β. Furthermore, intracanal application of SR9009 reduced the lesion size and promoted the repair of RAP by decreasing the number of osteoclasts and enhancing the formation of mineralized tissue in periapical inflammatory lesions. CONCLUSIONS Rev-erbα played an essential role in the pathogenesis of RAP through its effect on macrophage polarization. Targeting Rev-erbα might be a promising and prospective therapy method for the prevention and management of RAP.
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Affiliation(s)
- W Song
- Department of Stomatology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- School of Stomatology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Oral and Maxillofacial Development and Regeneration, Wuhan, China
| | - L Ye
- Department of Stomatology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- School of Stomatology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Oral and Maxillofacial Development and Regeneration, Wuhan, China
| | - Q Tang
- Department of Stomatology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- School of Stomatology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Oral and Maxillofacial Development and Regeneration, Wuhan, China
| | - X Lu
- Department of Stomatology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- School of Stomatology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Oral and Maxillofacial Development and Regeneration, Wuhan, China
| | - X Huang
- Department of Stomatology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- School of Stomatology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Oral and Maxillofacial Development and Regeneration, Wuhan, China
| | - M Xie
- Department of Stomatology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- School of Stomatology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Oral and Maxillofacial Development and Regeneration, Wuhan, China
| | - S Yu
- Department of Stomatology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- School of Stomatology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Oral and Maxillofacial Development and Regeneration, Wuhan, China
| | - Z Yuan
- Department of Stomatology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- School of Stomatology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Oral and Maxillofacial Development and Regeneration, Wuhan, China
| | - L Chen
- Department of Stomatology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- School of Stomatology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Oral and Maxillofacial Development and Regeneration, Wuhan, China
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Yu L, Zhang Z, Yi H, Wang J, Li J, Wang X, Bai H, Ge H, Zheng X, Ni J, Qi H, Guan Y, Xu W, Zhu Z, Xing L, Dekker A, Wee L, Traverso A, Ye Z, Yuan Z. A PET/CT radiomics model for predicting distant metastasis in early-stage non-small cell lung cancer patients treated with stereotactic body radiotherapy: a multicentric study. Radiat Oncol 2024; 19:10. [PMID: 38254106 PMCID: PMC10802016 DOI: 10.1186/s13014-024-02402-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2023] [Accepted: 01/10/2024] [Indexed: 01/24/2024] Open
Abstract
OBJECTIVES Stereotactic body radiotherapy (SBRT) is a treatment option for patients with early-stage non-small cell lung cancer (NSCLC) who are unfit for surgery. Some patients may experience distant metastasis. This study aimed to develop and validate a radiomics model for predicting distant metastasis in patients with early-stage NSCLC treated with SBRT. METHODS Patients at five institutions were enrolled in this study. Radiomics features were extracted based on the PET/CT images. After feature selection in the training set (from Tianjin), CT-based and PET-based radiomics signatures were built. Models based on CT and PET signatures were built and validated using external datasets (from Zhejiang, Zhengzhou, Shandong, and Shanghai). An integrated model that included CT and PET radiomic signatures was developed. The performance of the proposed model was evaluated in terms of its discrimination, calibration, and clinical utility. Multivariate logistic regression was used to calculate the probability of distant metastases. The cutoff value was obtained using the receiver operator characteristic curve (ROC), and the patients were divided into high- and low-risk groups. Kaplan-Meier analysis was used to evaluate the distant metastasis-free survival (DMFS) of different risk groups. RESULTS In total, 228 patients were enrolled. The median follow-up time was 31.4 (2.0-111.4) months. The model based on CT radiomics signatures had an area under the curve (AUC) of 0.819 in the training set (n = 139) and 0.786 in the external dataset (n = 89). The PET radiomics model had an AUC of 0.763 for the training set and 0.804 for the external dataset. The model combining CT and PET radiomics had an AUC of 0.835 for the training set and 0.819 for the external dataset. The combined model showed a moderate calibration and a positive net benefit. When the probability of distant metastasis was greater than 0.19, the patient was considered to be at high risk. The DMFS of patients with high- and low-risk was significantly stratified (P < 0.001). CONCLUSIONS The proposed PET/CT radiomics model can be used to predict distant metastasis in patients with early-stage NSCLC treated with SBRT and provide a reference for clinical decision-making. In this study, the model was established by combining CT and PET radiomics signatures in a moderate-quantity training cohort of early-stage NSCLC patients treated with SBRT and was successfully validated in independent cohorts. Physicians could use this easy-to-use model to assess the risk of distant metastasis after SBRT. Identifying subgroups of patients with different risk factors for distant metastasis is useful for guiding personalized treatment approaches.
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Affiliation(s)
- Lu Yu
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin, China
- Department of Radiology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin, China
| | - Zhen Zhang
- Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang, 310022, China
- Department of Radiation Oncology (Maastro), GROW School for Oncology and Reproduction, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - HeQing Yi
- Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang, 310022, China
| | - Jin Wang
- Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang, 310022, China
| | - Junyi Li
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin, China
| | - Xiaofeng Wang
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin, China
| | - Hui Bai
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin, China
| | - Hong Ge
- The Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, China
| | - Xiaoli Zheng
- The Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, China
| | - Jianjiao Ni
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Haoran Qi
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University, Shandong Academy of Medical Science, Jinan, Shandong, China
| | - Yong Guan
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin, China
| | - Wengui Xu
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin, China
| | - Zhengfei Zhu
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Ligang Xing
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University, Shandong Academy of Medical Science, Jinan, Shandong, China
| | - Andre Dekker
- Department of Radiation Oncology (Maastro), GROW School for Oncology and Reproduction, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Leonard Wee
- Department of Radiation Oncology (Maastro), GROW School for Oncology and Reproduction, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Alberto Traverso
- Department of Radiation Oncology (Maastro), GROW School for Oncology and Reproduction, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Zhaoxiang Ye
- Department of Radiology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin, China.
| | - Zhiyong Yuan
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin, China.
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9
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Li J, Cao Y, Liu Y, Yu L, Zhang Z, Wang X, Bai H, Zhang Y, Liu S, Gao M, Lu C, Li C, Guan Y, Tao Z, Wu Z, Chen J, Yuan Z. Multiomics profiling reveals the benefits of gamma-delta (γδ) T lymphocytes for improving the tumor microenvironment, immunotherapy efficacy and prognosis in cervical cancer. J Immunother Cancer 2024; 12:e008355. [PMID: 38199610 PMCID: PMC10806547 DOI: 10.1136/jitc-2023-008355] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/13/2023] [Indexed: 01/12/2024] Open
Abstract
BACKGROUND As an unconventional subpopulation of T lymphocytes, γδ T cells can recognize antigens independently of major histocompatibility complex restrictions. Recent studies have indicated that γδ T cells play contrasting roles in tumor microenvironments-promoting tumor progression in some cancers (eg, gallbladder and leukemia) while suppressing it in others (eg, lung and gastric). γδ T cells are mainly enriched in peripheral mucosal tissues. As the cervix is a mucosa-rich tissue, the role of γδ T cells in cervical cancer warrants further investigation. METHODS We employed a multiomics strategy that integrated abundant data from single-cell and bulk transcriptome sequencing, whole exome sequencing, genotyping array, immunohistochemistry, and MRI. RESULTS Heterogeneity was observed in the level of γδ T-cell infiltration in cervical cancer tissues, mainly associated with the tumor somatic mutational landscape. Definitely, γδ T cells play a beneficial role in the prognosis of patients with cervical cancer. First, γδ T cells exert direct cytotoxic effects in the tumor microenvironment of cervical cancer through the dynamic evolution of cellular states at both poles. Second, higher levels of γδ T-cell infiltration also shape the microenvironment of immune activation with cancer-suppressive properties. We found that these intricate features can be observed by MRI-based radiomics models to non-invasively assess γδ T-cell proportions in tumor tissues in patients. Importantly, patients with high infiltration levels of γδ T cells may be more amenable to immunotherapies including immune checkpoint inhibitors and autologous tumor-infiltrating lymphocyte therapies, than to chemoradiotherapy. CONCLUSIONS γδ T cells play a beneficial role in antitumor immunity in cervical cancer. The abundance of γδ T cells in cervical cancerous tissue is associated with higher response rates to immunotherapy.
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Affiliation(s)
- Junyi Li
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute & Hospital, Key Laboratory of Cancer Immunology and Biotherapy, Tianjin's Clinical Research Center for Cancer, National Clinical Research Center for Cancer, Tianjin, China
| | - Yuanjie Cao
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute & Hospital, Key Laboratory of Cancer Immunology and Biotherapy, Tianjin's Clinical Research Center for Cancer, National Clinical Research Center for Cancer, Tianjin, China
| | - Yancheng Liu
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute & Hospital, Key Laboratory of Cancer Immunology and Biotherapy, Tianjin's Clinical Research Center for Cancer, National Clinical Research Center for Cancer, Tianjin, China
| | - Lu Yu
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute & Hospital, Key Laboratory of Cancer Immunology and Biotherapy, Tianjin's Clinical Research Center for Cancer, National Clinical Research Center for Cancer, Tianjin, China
| | - Zhen Zhang
- Zhejiang Cancer Hospital, Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou, Zhejiang, China
- Department of Radiation Oncology (Maastro), GROW School for Oncology and Reproduction, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Xiaofeng Wang
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute & Hospital, Key Laboratory of Cancer Immunology and Biotherapy, Tianjin's Clinical Research Center for Cancer, National Clinical Research Center for Cancer, Tianjin, China
| | - Hui Bai
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute & Hospital, Key Laboratory of Cancer Immunology and Biotherapy, Tianjin's Clinical Research Center for Cancer, National Clinical Research Center for Cancer, Tianjin, China
| | - Yuhan Zhang
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute & Hospital, Key Laboratory of Cancer Immunology and Biotherapy, Tianjin's Clinical Research Center for Cancer, National Clinical Research Center for Cancer, Tianjin, China
| | - Shaochuan Liu
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute & Hospital, Key Laboratory of Cancer Immunology and Biotherapy, Tianjin's Clinical Research Center for Cancer, National Clinical Research Center for Cancer, Tianjin, China
| | - Miaomiao Gao
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute & Hospital, Key Laboratory of Cancer Immunology and Biotherapy, Tianjin's Clinical Research Center for Cancer, National Clinical Research Center for Cancer, Tianjin, China
| | - Chenglu Lu
- Department of Pathology, Tianjin Medical University Cancer Institute & Hospital, Tianjin, China
| | - Chen Li
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute & Hospital, Key Laboratory of Cancer Immunology and Biotherapy, Tianjin's Clinical Research Center for Cancer, National Clinical Research Center for Cancer, Tianjin, China
| | - Yong Guan
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute & Hospital, Key Laboratory of Cancer Immunology and Biotherapy, Tianjin's Clinical Research Center for Cancer, National Clinical Research Center for Cancer, Tianjin, China
| | - Zhen Tao
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute & Hospital, Key Laboratory of Cancer Immunology and Biotherapy, Tianjin's Clinical Research Center for Cancer, National Clinical Research Center for Cancer, Tianjin, China
| | - Zhiqiang Wu
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute & Hospital, Key Laboratory of Cancer Immunology and Biotherapy, Tianjin's Clinical Research Center for Cancer, National Clinical Research Center for Cancer, Tianjin, China
| | - Jie Chen
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute & Hospital, Key Laboratory of Cancer Immunology and Biotherapy, Tianjin's Clinical Research Center for Cancer, National Clinical Research Center for Cancer, Tianjin, China
| | - Zhiyong Yuan
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute & Hospital, Key Laboratory of Cancer Immunology and Biotherapy, Tianjin's Clinical Research Center for Cancer, National Clinical Research Center for Cancer, Tianjin, China
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10
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Zhang H, Yu X, Wang Y, Yuan Z, Dong Y, Wang X. Optimization of stereotactic radiotherapy (SRT) planning for brain metastases from lung cancer by Cyberknife system: reducing dose distribution inner ear. J Cancer 2024; 15:1110-1114. [PMID: 38230213 PMCID: PMC10788717 DOI: 10.7150/jca.92186] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Accepted: 12/16/2023] [Indexed: 01/18/2024] Open
Abstract
Objective: Through retrospective statistical analysis of radiation distribution in inner ear avoidance for brain metastases from lung cancer by the CyberKnife (CK) system, it can provide a reference for stereotactic radiotherapy (SRT) planning and treatment optimization. Methods: Computed tomography/magnetic resonance imaging data of 44 patients with one brain metastases lesion from lung cancer were used to re-plan and analyze, who had been treated by CK system from April 2021 to April 2022. The prescribed doses of 14-30 Gy in 1-3 fractions was simultaneously delivered to the metastatic lesions. The SRT plans for the same patients were replaned under with and without inner ear avoidance setting. The plan parameters and dose distribution differences were compared between plans. Results: All plans met the dose restrictions. There were no significant differences in the coverage (Coverage), conformity index (CI), mean dose (Dmean), the maximum dose (Dmax) and minimum dose (Dmin) of planning target volume (PTV). With inner ear avoidance setting, the Dmax and Dmean of inner ear area decreased by 13.76% and 12.15% (p<0.01), respectively. The total number of machine nodes and monitor units (MU) increased by 4.63% and 1.06%. Conclusions: During the SRT plan designing for brain metastases from lung cancer, the dose distribution in inner ear area could be reduced by avoidance setting, and the patient's hearing would be well protected.
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Affiliation(s)
- Hua Zhang
- Department of Lung Cancer, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin Lung Cancer Center, Tianjin, 300060, People's Republic of China
| | - Xuyao Yu
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, 300060, People's Republic of China
| | - Yuwen Wang
- Department of Radiotherapy, Tianjin Cancer Hospital Airport Hospital, Tianjin, 300308, People's Republic of China
| | - Zhiyong Yuan
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, 300060, People's Republic of China
| | - Yang Dong
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, 300060, People's Republic of China
| | - Xiaoguang Wang
- Department of Brain Oncology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, 300060, People's Republic of China
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11
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Luedtke JA, Chanson J, Neam K, Hobin L, Maciel AO, Catenazzi A, Borzée A, Hamidy A, Aowphol A, Jean A, Sosa-Bartuano Á, Fong G A, de Silva A, Fouquet A, Angulo A, Kidov AA, Muñoz Saravia A, Diesmos AC, Tominaga A, Shrestha B, Gratwicke B, Tjaturadi B, Martínez Rivera CC, Vásquez Almazán CR, Señaris C, Chandramouli SR, Strüssmann C, Cortez Fernández CF, Azat C, Hoskin CJ, Hilton-Taylor C, Whyte DL, Gower DJ, Olson DH, Cisneros-Heredia DF, Santana DJ, Nagombi E, Najafi-Majd E, Quah ESH, Bolaños F, Xie F, Brusquetti F, Álvarez FS, Andreone F, Glaw F, Castañeda FE, Kraus F, Parra-Olea G, Chaves G, Medina-Rangel GF, González-Durán G, Ortega-Andrade HM, Machado IF, Das I, Dias IR, Urbina-Cardona JN, Crnobrnja-Isailović J, Yang JH, Jianping J, Wangyal JT, Rowley JJL, Measey J, Vasudevan K, Chan KO, Gururaja KV, Ovaska K, Warr LC, Canseco-Márquez L, Toledo LF, Díaz LM, Khan MMH, Meegaskumbura M, Acevedo ME, Napoli MF, Ponce MA, Vaira M, Lampo M, Yánez-Muñoz MH, Scherz MD, Rödel MO, Matsui M, Fildor M, Kusrini MD, Ahmed MF, Rais M, Kouamé NG, García N, Gonwouo NL, Burrowes PA, Imbun PY, Wagner P, Kok PJR, Joglar RL, Auguste RJ, Brandão RA, Ibáñez R, von May R, Hedges SB, Biju SD, Ganesh SR, Wren S, Das S, Flechas SV, Ashpole SL, Robleto-Hernández SJ, Loader SP, Incháustegui SJ, Garg S, Phimmachak S, Richards SJ, Slimani T, Osborne-Naikatini T, Abreu-Jardim TPF, Condez TH, De Carvalho TR, Cutajar TP, Pierson TW, Nguyen TQ, Kaya U, Yuan Z, Long B, Langhammer P, Stuart SN. Author Correction: Ongoing declines for the world's amphibians in the face of emerging threats. Nature 2024; 625:E2. [PMID: 38040869 PMCID: PMC10764272 DOI: 10.1038/s41586-023-06851-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/03/2023]
Affiliation(s)
- Jennifer A Luedtke
- Re:wild, Austin, TX, USA.
- IUCN SSC Amphibian Specialist Group, Toronto, Ontario, Canada.
| | - Janice Chanson
- Re:wild, Austin, TX, USA
- IUCN SSC Amphibian Specialist Group, Toronto, Ontario, Canada
| | - Kelsey Neam
- Re:wild, Austin, TX, USA
- IUCN SSC Amphibian Specialist Group, Toronto, Ontario, Canada
| | - Louise Hobin
- IUCN SSC Amphibian Specialist Group, Toronto, Ontario, Canada
| | | | - Alessandro Catenazzi
- Florida International University, Miami, FL, USA
- Centro de Ornitologia y Biodiversidad (CORBIDI), Lima, Peru
| | - Amaël Borzée
- IUCN SSC Amphibian Specialist Group, Toronto, Ontario, Canada
- Laboratory of Animal Behaviour and Conservation, College of Life Sciences, Nanjing Forestry University, Nanjing, People's Republic of China
| | - Amir Hamidy
- Laboratory of Herpetology, Museum Zoologicum Bogoriense, Research Center for Biosystematics and Evolution, National Research and Innovation Agency (BRIN), Cibinong, Indonesia
| | - Anchalee Aowphol
- Department of Zoology, Faculty of Science, Kasetsart University, Bangkok, Thailand
| | - Anderson Jean
- Action Pour la Sauvegarde de l'Ecologie en Haïti (ACSEH), Les Cayes, Haiti
- Environmental Protection In the Caribbean (EPIC), Maho, Sint Maarten
| | | | - Ansel Fong G
- Centro Oriental de Ecosistemas y Biodiversidad (BIOECO), Museo de Historia Natural "Tomás Romay", Santiago de Cuba, Cuba
| | - Anslem de Silva
- IUCN SSC Amphibian Specialist Group, Sri Lanka, Gampola, Sri Lanka
| | - Antoine Fouquet
- Laboratoire Évolution & Diversité Biologique, UMR 5174, Université Toulouse III Paul Sabatier, Toulouse, France
| | - Ariadne Angulo
- IUCN SSC Amphibian Specialist Group, Toronto, Ontario, Canada
| | - Artem A Kidov
- Russian State Agrarian University-MTAA, Moscow, Russia
| | - Arturo Muñoz Saravia
- IUCN SSC Amphibian Specialist Group Bolivia, La Paz, Bolivia
- Animal Nutrition Unit, Department of Veterinary and Biosciences, Ghent University, Ghent, Belgium
| | - Arvin C Diesmos
- ASEAN Centre for Biodiversity, University of the Philippines Los Baños, Laguna, Philippines
- HerpWatch Pilipinas, Manila, Philippines
| | - Atsushi Tominaga
- Faculty of Education, University of the Ryukyus, Okinawa, Japan
- Graduate School of Engineering and Science, University of the Ryukyus, Okinawa, Japan
| | - Biraj Shrestha
- SAVE THE FROGS!, Laguna Beach, CA, USA
- The University of Texas at Arlington, Arlington, TX, USA
| | - Brian Gratwicke
- Smithsonian Conservation Biology Institute, Front Royal, VA, USA
| | - Burhan Tjaturadi
- Center for Environmental Studies, Sanata Dharma University (CESSDU), Yogyakarta, Indonesia
| | - Carlos C Martínez Rivera
- Pinelands Preservation Alliance, Southampton Township, NJ, USA
- Centro de Conservación de Anfibios, Amaru Bioparque, Cuenca, Ecuador
| | - Carlos R Vásquez Almazán
- Museo de Historia Natural, Escuela de Biologia, Universidad de San Carlos, Guatemala City, Guatemala
- FUNDAECO, Guatemala City, Guatemala
| | - Celsa Señaris
- Estación Biológica de Doñana (EBD-CSIC), Seville, Spain
| | - S R Chandramouli
- Department of Ecology and Environmental Sciences, Pondicherry University, Puducherry, India
| | | | | | - Claudio Azat
- Sustainability Research Center & PhD Program in Conservation Medicine, Faculty of Life Sciences, Universidad Andres Bello, Santiago, Chile
| | - Conrad J Hoskin
- College of Science & Engineering, James Cook University, Townsville, Queensland, Australia
| | | | - Damion L Whyte
- Department of Life Sciences, University of the West Indies Mona, Kingston, Jamaica
| | | | - Deanna H Olson
- Pacific Northwest Research Station, United States Department of Agriculture, Forest Service, Corvallis, OR, USA
| | - Diego F Cisneros-Heredia
- Universidad San Francisco de Quito USFQ, Colegio de Ciencias Biológicas y Ambientales, Instituto de Biodiversidad Tropical IBIOTROP, Quito, Ecuador
- Instituto Nacional de Biodiversidad INABIO, Quito, Ecuador
| | - Diego José Santana
- Instituto de Biociências, Universidade Federal de Mato Grosso do Sul, Campo Grande, Brazil
| | - Elizah Nagombi
- The New Guinea Binatang Research Center, Madang, Papua New Guinea
| | - Elnaz Najafi-Majd
- Department of Zoology, Faculty of Science, Ege University, İzmir, Turkey
| | - Evan S H Quah
- Institute for Tropical Biology and Conservation, Universiti Malaysia Sabah, Kota Kinabalu, Malaysia
- Lee Kong Chian Natural History Museum, National University of Singapore, Singapore, Singapore
| | - Federico Bolaños
- Escuela de Biología, Universidad de Costa Rica, San José, Costa Rica
- CIBET (Museo de Zoología), Universidad de Costa Rica, San José, Costa Rica
| | - Feng Xie
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, People's Republic of China
| | | | | | | | - Frank Glaw
- Zoologische Staatssammlung München (ZSM-SNSB), Munich, Germany
| | | | - Fred Kraus
- Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI, USA
| | - Gabriela Parra-Olea
- Instituto de Biologia, Universidad Nacional Autónoma de México, Mexico City, Mexico
| | - Gerardo Chaves
- CIBET (Museo de Zoología), Universidad de Costa Rica, San José, Costa Rica
| | - Guido F Medina-Rangel
- Instituto de Ciencias Naturales, Universidad Nacional de Colombia, Bogotá D.C., Colombia
| | | | - H Mauricio Ortega-Andrade
- Biogeography and Spatial Ecology Research Group, Life Sciences Faculty, Universidad Regional Amazónica IKIAM, Tena, Ecuador
- Herpetology Division, Instituto Nacional de Biodiversidad, Quito, Ecuador
| | - Iberê F Machado
- Instituto Boitatá de Etnobiologia e Conservação da Fauna, Goiânia, Brazil
| | - Indraneil Das
- Institute of Biodiversity and Environmental Conservation, Universiti Malaysia Sarawak, Kota Samarahan, Malaysia
| | - Iuri Ribeiro Dias
- Departamento de Ciências Biológicas, Universidade Estadual de Santa Cruz, Ilhéus, Brazil
| | - J Nicolas Urbina-Cardona
- Departamento de Ecología y Territorio, Facultad de Estudios Ambientales y Rurales, Pontificia Universidad Javeriana, Bogotá, Colombia
| | - Jelka Crnobrnja-Isailović
- Department of Biology and Ecology, Faculty of Sciences and Mathematics, University of Niš, Niš, Serbia
| | - Jian-Huan Yang
- Kadoorie Farm and Botanic Garden, Hong Kong SAR, People's Republic of China
| | - Jiang Jianping
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, People's Republic of China
| | - Jigme Tshelthrim Wangyal
- University of New England, Armidale, New South Wales, Australia
- Bhutan Ecological Society, Thimphu, Bhutan
| | - Jodi J L Rowley
- Australian Museum Research Institute, Australian Museum, Sydney, New South Wales, Australia
- Centre for Ecosystem Science, School of Biological, Earth and Environmental Sciences (BEES), University of New South Wales, Sydney, New South Wales, Australia
| | - John Measey
- Centre for Invasion Biology, Department of Botany & Zoology, Stellenbosch University, Stellenbosch, South Africa
- Centre for Invasion Biology, Institute of Biodiversity, School of Ecology and Environmental Science, Yunnan University, Kunming, People's Republic of China
| | - Karthikeyan Vasudevan
- Laboratory for the Conservation of Endangered Species, CSIR-Centre for Cellular and Molecular Biology, Hyderabad, India
| | - Kin Onn Chan
- Lee Kong Chian Natural History Museum, National University of Singapore, Singapore, Singapore
| | - Kotambylu Vasudeva Gururaja
- Srishti Manipal Institute of Art, Design and Technology, Manipal Academy of Higher Education, Manipal, India
| | - Kristiina Ovaska
- Biolinx Environmental Research, Victoria, British Columbia, Canada
- Royal British Columbia Museum, Victoria, British Columbia, Canada
| | | | - Luis Canseco-Márquez
- Laboratorio de Herpetología, Facultad de Ciencias, Universidad Nacional Autónoma de México, Mexico City, Mexico
| | - Luís Felipe Toledo
- Laboratório de História Natural de Anfíbios Brasileiros (LaHNAB), Universidade Estadual de Campinas (Unicamp), São Paulo, Brazil
| | - Luis M Díaz
- Museo Nacional de Historia Natural de Cuba, La Habana, Cuba
| | - M Monirul H Khan
- Department of Zoology, Jahangirnagar University, Dhaka, Bangladesh
| | - Madhava Meegaskumbura
- Key Laboratory in Forest Ecology and Conservation, College of Forestry, Guangxi University, Nanning, People's Republic of China
| | - Manuel E Acevedo
- Museo Nacional de Historia Natural "Jorge A. Ibarra", Ciudad de Guatemala, Guatemala
| | - Marcelo Felgueiras Napoli
- Instituto de Biologia, Campus Universitário de Ondina, Universidade Federal da Bahia, Salvador, Brazil
| | | | - Marcos Vaira
- Instituto de Ecorregiones Andinas (INECOA, UNJu-Conicet), San Salvador de Jujuy, Argentina
| | - Margarita Lampo
- Instituto Venezolano de Investigaciones Científicas (IVIC), Miranda, Venezuela
- Fundación para el Desarrollo de las Ciencias Físicas, Matemáticas y Naturales (FUDECI), Caracas, Venezuela
| | - Mario H Yánez-Muñoz
- Unidad de Investigación, Instituto Nacional de Biodiversidad (INABIO), Quito, Ecuador
| | - Mark D Scherz
- Natural History Museum of Denmark, University of Copenhagen, Copenhagen, Denmark
| | - Mark-Oliver Rödel
- Museum für Naturkunde-Leibniz Institute for Evolution and Biodiversity Science, Berlin, Germany
| | | | - Maxon Fildor
- Action Pour la Sauvegarde de l'Ecologie en Haïti (ACSEH), Les Cayes, Haiti
| | - Mirza D Kusrini
- Faculty of Forestry & Environment, IPB University, Bogor, Indonesia
| | | | - Muhammad Rais
- Herpetology Lab, Department of Zoology, Wildlife and Fisheries, Pir Mehr Ali Shah Arid Agriculture University Rawalpindi, Rawalpindi, Pakistan
| | - N'Goran G Kouamé
- Laboratoire de Biodiversité et Ecologie Tropicale, UFR Environnement, Université Jean Lorougnon Guédé, Daloa, Côte d'Ivoire
| | - Nieves García
- IUCN Species Survival Commission, Gland, Switzerland
| | - Nono Legrand Gonwouo
- Laboratory of Zoology, Faculty of Science, University of Yaoundé I, Yaoundé, Cameroon
| | | | - Paul Y Imbun
- Zoology Unit, Research and Education Section, Sabah Parks, Kota Kinabalu, Malaysia
| | - Philipp Wagner
- Allwetterzoo, Münster, Germany
- Center for Biodiversity and Ecosystem, Villanova University, Villanova, PA, USA
| | - Philippe J R Kok
- Department of Ecology and Vertebrate Zoology, Faculty of Biology and Environmental Protection, University of Łódź, Łódź, Poland
- Department of Life Sciences, The Natural History Museum, London, UK
| | - Rafael L Joglar
- Rio Piedras Campus, University of Puerto Rico, San Juan, Puerto Rico
- Proyecto Coqui, San Juan, Puerto Rico
| | - Renoir J Auguste
- Department of Life Sciences, The University of the West Indies, St Augustine, Trinidad and Tobago
| | | | - Roberto Ibáñez
- Smithsonian Tropical Research Institute, Panama, República de Panamá
| | - Rudolf von May
- California State University Channel Islands, Camarillo, CA, USA
| | - S Blair Hedges
- Center for Biodiversity, Temple University, Philadelphia, PA, USA
| | - S D Biju
- Systematics Lab, Department of Environmental Studies, University of Delhi, Delhi, India
| | | | - Sally Wren
- IUCN SSC Amphibian Specialist Group, Toronto, Ontario, Canada
- Department of Zoology, University of Otago, Dunedin, New Zealand
| | - Sandeep Das
- Centre for Research in Emerging Tropical Diseases, Department of Zoology, University of Calicut, Kerala, India
- EDGE of Existence programme, Conservation and Policy, Zoological Society of London, London, UK
| | | | - Sara L Ashpole
- Environmental Studies, St Lawrence University, Canton, NY, USA
- , Prescott, Ontario, Canada
| | | | | | | | - Sonali Garg
- Systematics Lab, Department of Environmental Studies, University of Delhi, Delhi, India
- Department of Organismic and Evolutionary Biology and Museum of Comparative Zoology, Harvard University, Cambridge, MA, USA
| | - Somphouthone Phimmachak
- Department of Biology, Faculty of Natural Sciences, National University of Laos, Vientiane, Laos
| | - Stephen J Richards
- Herpetology Department, South Australian Museum, Adelaide, South Australia, Australia
| | - Tahar Slimani
- Faculty of Sciences Sremlalia, Cadi Ayyad University, Marrakech, Morocco
| | - Tamara Osborne-Naikatini
- School of Agriculture, Geography, Environment, Ocean and Natural Sciences, The University of the South Pacific, Suva, Fiji
| | | | - Thais H Condez
- Department of Earth Sciences, Carleton University, Ottawa, Ontario, Canada
| | | | - Timothy P Cutajar
- Australian Museum Research Institute, Australian Museum, Sydney, New South Wales, Australia
- Centre for Ecosystem Science, School of Biological, Earth and Environmental Sciences (BEES), University of New South Wales, Sydney, New South Wales, Australia
| | - Todd W Pierson
- Department of Ecology, Evolution and Organismal Biology, Kennesaw State University, Kennesaw, GA, USA
| | - Truong Q Nguyen
- Institute of Ecology and Biological Resources, Vietnam Academy of Science and Technology, Ha Noi, Viet Nam
| | - Uğur Kaya
- Department of Zoology, Faculty of Science, Ege University, İzmir, Turkey
| | - Zhiyong Yuan
- School of Life Sciences, Southwest University, Chongqing, People's Republic of China
| | | | - Penny Langhammer
- Re:wild, Austin, TX, USA
- Arizona State University, Tempe, AZ, USA
| | - Simon N Stuart
- IUCN Species Survival Commission, Gland, Switzerland
- A Rocha International, London, UK
- Synchronicity Earth, London, UK
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12
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Cao Y, Wei H, Jiang S, Lu T, Nie P, Yang C, Liu N, Lee I, Meng X, Wang W, Yuan Z. Effect of AQP4 and its palmitoylation on the permeability of exogenous reactive oxygen species: Insights from computational study. Int J Biol Macromol 2023; 253:127568. [PMID: 37866582 DOI: 10.1016/j.ijbiomac.2023.127568] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Revised: 10/16/2023] [Accepted: 10/18/2023] [Indexed: 10/24/2023]
Abstract
Aquaporin 4 (AQP4) facilitates the transport of reactive oxygen species (ROS). Both cancer cells and the ionizing radiation microenvironment can induce posttranslational modifications (PTMs) in AQP4, which may affect its permeability to ROS. Because this ROS diffusion process is rapid, microscopic, and instantaneous within and outside cells, conventional experimental methods are inadequate for elucidating the molecular mechanisms involved. In this study, computational methods were employed to investigate the permeability of exogenous ROS mediated by radiation in AQP4 at a molecular scale. We constructed a simulation system incorporating AQP4 and AQP4-Cysp13 in a complex lipid environment with ROS. Long-timescale molecular dynamics simulations were conducted to assess the structural stability of both AQP4 and AQP4-Cysp13. Free energy calculations were utilized to determine the ROS transport capability of the two AQP4 proteins. Computational electrophysiology and channel structural analysis quantitatively evaluated changes in ROS transport capacity under various radiation-induced transmembrane voltage microenvironments. Our findings demonstrate the distinct transport capabilities of AQP4 channels for water molecules and various types of ROS and reveal a decrease in transport efficiency when AQP4 undergoes palmitoylation modification. In addition, we have simulated the radiation-induced alteration of cell membrane voltage, which significantly affected the ROS transport capacity. We propose that this research will enhance the understanding of the molecular mechanisms governing the transport of exogenous ROS by AQP4 and elucidate the influence of palmitoylation on ROS transport. This study will also help clarify how different structural features of AQP4 affect the transport of exogenous ROS mediated by radiotherapy, thereby providing a theoretical molecular basis for the development of new treatment strategies that combine with radiotherapy.
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Affiliation(s)
- Yipeng Cao
- Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, 300060, PR China; National Supercomputer Center in Tianjin, 300457, PR China.
| | - Hui Wei
- Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, 300060, PR China
| | - Shengpeng Jiang
- Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, 300060, PR China
| | - Tong Lu
- Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, 300060, PR China
| | - Pengfei Nie
- National Supercomputer Center in Tianjin, 300457, PR China
| | - Chengwen Yang
- Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, 300060, PR China
| | - Ningbo Liu
- Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, 300060, PR China
| | - Imshik Lee
- College of Physics, Nankai University, Tianjin 300071, PR China
| | - Xiangfei Meng
- National Supercomputer Center in Tianjin, 300457, PR China.
| | - Wei Wang
- Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, 300060, PR China.
| | - Zhiyong Yuan
- Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, 300060, PR China.
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13
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Xia H, Yuan Z. [Discovery and distribution of and response to arbovirus in China over the past seven decades]. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi 2023; 35:427-436. [PMID: 38148530 DOI: 10.16250/j.32.1374.2023152] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 12/28/2023]
Abstract
Arbovirus is a group of virus transmitted by blood-sucking arthropod bites, which infects both arthropods and vertebrates. More than 600 arboviruses have been characterized worldwide until now, including 65 highly pathogenic viruses, which pose a high threat to public health. The risk of arbovirus transmission is increasing due to climate change, international trade and urbanization. The review summarizes the discovery and distribution of emerging and reemerging arboviruses and novel arboviruses with potential pathogenic risks, and proposes responses to the arbovirus transmission risk, so as to provide insights into the research and management of arboviruses and arthropod-borne infectious diseases in China.
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Affiliation(s)
- H Xia
- Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, Hubei 430071, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Z Yuan
- Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, Hubei 430071, China
- University of Chinese Academy of Sciences, Beijing 100049, China
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14
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Mi L, Yuan Z, Que M, Yang Y, Fang S, Wang X. Observation of the short-term curative effect of using SuperPATH approach to treat elderly femoral neck fractures with schizophrenia. Acta Orthop Belg 2023; 89:639-643. [PMID: 38205754 DOI: 10.52628/89.4.9750] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2024]
Abstract
As China enters an aging society, the incidence of femoral neck fractures is increasing year by year. For some patients, total hip arthroplasty (THA) is the treatment of choice for displaced femoral neck fractures. Schizophrenia is a common combination of elderly patients with femoral neck fractures, and there are few reports on the treatment. This study describes the short-term efficacy of the supercapsular percutaneously assisted (SuperPATH) approach in the treatment of patients suffered with displaced femoral neck fractures combined with schizophrenia. A retrospective analysis of 20 elderly patients with displaced femoral neck fractures combined with schizophrenia who underwent THA using the SuperPATH approach. Record demographic data, postoperative reexamination of X-ray film to observe the position and the loosening condition of the prosthesis, the length of hospitalization, complications in the hospital and after discharge. The Harris score of hip joint function was used to evaluate postoperative hip joint function. The average age of the 20 patients was 73.1 years. All patients were followed up by outpatient clinic or telephone. The follow-up time was 3-12 months, with an average of 9.2 months. There was no incision infection, no tissue structure damage such as important nerves and blood vessels, and no complications such as early dislocation, loosening of the joint prosthesis, and deep vein thrombosis of lower extremities. The efficacy of the last follow-up was evaluated according to the Harris score of hip joint function: an average of 91 points (78-98 points); 13 cases were excellent, 5 cases were good, and 2 cases were fair. The SuperPATH approach has the advantages of less surgical damage, shorter recovery time, good surgical safety, preserving the normal tension of the muscles around the hip joint, and reducing the incidence rate of early postoperative dislocation of the joint prosthesis. The THA of the SuperPATH approach can treat patients with displaced femoral neck fractures combined with schizophrenia safely and effectively.
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15
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Wang Z, Wang Q, Tao Y, Chen J, Yuan Z, Wang P. Characterization of immune microenvironment in patients with HPV-positive and negative head and neck cancer. Sci Data 2023; 10:694. [PMID: 37828063 PMCID: PMC10570276 DOI: 10.1038/s41597-023-02611-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Accepted: 09/28/2023] [Indexed: 10/14/2023] Open
Abstract
Human papillomavirus (HPV) status strongly predicts positive clinical outcomes in patients with head and neck squamous cell cancer (HNSCC); however, the potential reasons have not been fully elucidated. Here, we characterized the immune context in HPV+ and HPV- HNSCC by integrating scRNA-seq and bulk RNA-seq data. In scRNA-seq data, HPV + HNSCC displayed increased B cells, plasma cells, CD4+ effector T cells, and decreased macrophages and mast cells. This finding was validated using bulk-cell data. Plasma cells predicted improved survival, and macrophages were associated with survival disadvantage. 1403 upregulated and 1877 downregulated differential expressed genes (DEGs) were obtained. Gene Ontology and KEGG enrichment analysis showed these DEGs focused on cytokine-related activity. Transcriptional analysis of B and plasma cells revealed associations between B-cell surface marker FCER2 and improved survival. In vitro assays confirmed the ability of FCER2 to suppress cellular proliferation and migration of HPV + tumors. In conclusion, our analysis revealed a heterogeneous tumor immune environment (TME) for HPV+ and HPV- HNSCC. Further, FCER2+ B cells contribute to antitumor immunity.
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Affiliation(s)
- Zhongqiu Wang
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, West Huanhu Road, West River District, Tianjin, 300060, China
| | - Qingxin Wang
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, West Huanhu Road, West River District, Tianjin, 300060, China
- School of Precision Instrument and Opto-electronics Engineering, Tianjin University, 92 Weijin Road, Nankai District, Tianjin, 300072, China
| | - Yuxuan Tao
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, West Huanhu Road, West River District, Tianjin, 300060, China
| | - Jingru Chen
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, West Huanhu Road, West River District, Tianjin, 300060, China
| | - Zhiyong Yuan
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, West Huanhu Road, West River District, Tianjin, 300060, China
| | - Peiguo Wang
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, West Huanhu Road, West River District, Tianjin, 300060, China.
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16
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Chen Y, Liang C, Li J, Ma L, Wang B, Yuan Z, Yang S, Nong X. Effect of artesunate on cardiovascular complications in periodontitis in a type I diabetes rat model and related mechanisms. J Endocrinol Invest 2023; 46:2031-2053. [PMID: 36892740 DOI: 10.1007/s40618-023-02052-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Accepted: 02/24/2023] [Indexed: 03/10/2023]
Abstract
PURPOSE Both cardiovascular disease and periodontitis are complications of diabetes that have a great impact on human life and health. Our previous research found that artesunate can effectively improve cardiovascular disease in diabetes and has an inhibitory effect on periodontal disease. Therefore, the present study aimed to explore the potential therapeutic possibility of artesunate in the protection against cardiovascular complications in periodontitis with type I diabetes rats and to elucidate the possible underlying mechanisms. METHODS Sprague‒Dawley rats were randomly divided into the healthy, diabetic, periodontitis, diabetic with periodontitis, and artesunate treatment groups (10, 30, and 60 mg/kg, i.g.). After artesunate treatment, oral swabs were collected and used to determine changes in the oral flora. Micro-CT was performed to observe changes in alveolar bone. Blood samples were processed to measure various parameters, while cardiovascular tissues were evaluated by haematoxylin-eosin, Masson, Sirius red, and TUNEL staining to observe fibrosis and apoptosis. The protein and mRNA expression levels in the alveolar bone and cardiovascular tissues were detected using immunohistochemistry and RT‒PCR. RESULTS Diabetic rats with periodontitis and cardiovascular complications maintained heart and body weight but exhibited reduced blood glucose levels, and they were able to regulate blood lipid indicators at normal levels after artesunate treatment. The staining assays suggested that treatment with 60 mg/kg artesunate has a significant therapeutic effect on myocardial apoptotic fibrosis. The high expression of NF-κB, TLR4, VEGF, ICAM-1, p38 MAPK, TGF-β, Smad2, and MMP9 in the alveolar bone and cardiovascular tissue in the type I diabetes and type I diabetes with periodontitis rat models was reduced after treatment with artesunate in a concentration-dependent manner. Micro-CT showed that treatment with 60 mg/kg artesunate effectively alleviated alveolar bone resorption and density reduction. The sequencing results suggested that each model group of rats had vascular and oral flora dysbiosis, but artesunate treatment could correct the dysbacteriosis. CONCLUSIONS Periodontitis-related pathogenic bacteria cause dysbiosis of the oral and intravascular flora in type I diabetes and aggravate cardiovascular complications. The mechanism by which periodontitis aggravates cardiovascular complications involves the NF-κB pathway, which induces myocardial apoptosis, fibrosis, and vascular inflammation.
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Affiliation(s)
- Y Chen
- College of Stomatology, Hospital of Stomatology, Guangxi Medical University, No. 10 Shuangyong Road, Nanning, 530021, Guangxi, China
- Guangxi Key Laboratory of Oral and Maxillofacial Rehabilitation and Reconstruction, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - C Liang
- College of Stomatology, Hospital of Stomatology, Guangxi Medical University, No. 10 Shuangyong Road, Nanning, 530021, Guangxi, China
- Guangxi Key Laboratory of Oral and Maxillofacial Rehabilitation and Reconstruction, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - J Li
- Life Science Institute, Guangxi Medical University, Nanning, 530021, Guangxi, China
- Medical Science Research Center, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - L Ma
- College of Stomatology, Hospital of Stomatology, Guangxi Medical University, No. 10 Shuangyong Road, Nanning, 530021, Guangxi, China
- Guangxi Key Laboratory of Oral and Maxillofacial Rehabilitation and Reconstruction, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - B Wang
- College of Stomatology, Hospital of Stomatology, Guangxi Medical University, No. 10 Shuangyong Road, Nanning, 530021, Guangxi, China
- Guangxi Key Laboratory of Oral and Maxillofacial Rehabilitation and Reconstruction, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Z Yuan
- College of Stomatology, Hospital of Stomatology, Guangxi Medical University, No. 10 Shuangyong Road, Nanning, 530021, Guangxi, China
- Guangxi Key Laboratory of Oral and Maxillofacial Rehabilitation and Reconstruction, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - S Yang
- School of Information and Management, Nanning, 530021, Guangxi, China
| | - X Nong
- College of Stomatology, Hospital of Stomatology, Guangxi Medical University, No. 10 Shuangyong Road, Nanning, 530021, Guangxi, China.
- Guangxi Key Laboratory of Oral and Maxillofacial Rehabilitation and Reconstruction, Guangxi Medical University, Nanning, 530021, Guangxi, China.
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17
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Luedtke JA, Chanson J, Neam K, Hobin L, Maciel AO, Catenazzi A, Borzée A, Hamidy A, Aowphol A, Jean A, Sosa-Bartuano Á, Fong G A, de Silva A, Fouquet A, Angulo A, Kidov AA, Muñoz Saravia A, Diesmos AC, Tominaga A, Shrestha B, Gratwicke B, Tjaturadi B, Martínez Rivera CC, Vásquez Almazán CR, Señaris C, Chandramouli SR, Strüssmann C, Cortez Fernández CF, Azat C, Hoskin CJ, Hilton-Taylor C, Whyte DL, Gower DJ, Olson DH, Cisneros-Heredia DF, Santana DJ, Nagombi E, Najafi-Majd E, Quah ESH, Bolaños F, Xie F, Brusquetti F, Álvarez FS, Andreone F, Glaw F, Castañeda FE, Kraus F, Parra-Olea G, Chaves G, Medina-Rangel GF, González-Durán G, Ortega-Andrade HM, Machado IF, Das I, Dias IR, Urbina-Cardona JN, Crnobrnja-Isailović J, Yang JH, Jianping J, Wangyal JT, Rowley JJL, Measey J, Vasudevan K, Chan KO, Gururaja KV, Ovaska K, Warr LC, Canseco-Márquez L, Toledo LF, Díaz LM, Khan MMH, Meegaskumbura M, Acevedo ME, Napoli MF, Ponce MA, Vaira M, Lampo M, Yánez-Muñoz MH, Scherz MD, Rödel MO, Matsui M, Fildor M, Kusrini MD, Ahmed MF, Rais M, Kouamé NG, García N, Gonwouo NL, Burrowes PA, Imbun PY, Wagner P, Kok PJR, Joglar RL, Auguste RJ, Brandão RA, Ibáñez R, von May R, Hedges SB, Biju SD, Ganesh SR, Wren S, Das S, Flechas SV, Ashpole SL, Robleto-Hernández SJ, Loader SP, Incháustegui SJ, Garg S, Phimmachak S, Richards SJ, Slimani T, Osborne-Naikatini T, Abreu-Jardim TPF, Condez TH, De Carvalho TR, Cutajar TP, Pierson TW, Nguyen TQ, Kaya U, Yuan Z, Long B, Langhammer P, Stuart SN. Ongoing declines for the world's amphibians in the face of emerging threats. Nature 2023; 622:308-314. [PMID: 37794184 PMCID: PMC10567568 DOI: 10.1038/s41586-023-06578-4] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Accepted: 08/25/2023] [Indexed: 10/06/2023]
Abstract
Systematic assessments of species extinction risk at regular intervals are necessary for informing conservation action1,2. Ongoing developments in taxonomy, threatening processes and research further underscore the need for reassessment3,4. Here we report the findings of the second Global Amphibian Assessment, evaluating 8,011 species for the International Union for Conservation of Nature Red List of Threatened Species. We find that amphibians are the most threatened vertebrate class (40.7% of species are globally threatened). The updated Red List Index shows that the status of amphibians is deteriorating globally, particularly for salamanders and in the Neotropics. Disease and habitat loss drove 91% of status deteriorations between 1980 and 2004. Ongoing and projected climate change effects are now of increasing concern, driving 39% of status deteriorations since 2004, followed by habitat loss (37%). Although signs of species recoveries incentivize immediate conservation action, scaled-up investment is urgently needed to reverse the current trends.
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Affiliation(s)
- Jennifer A Luedtke
- Re:wild, Austin, TX, USA.
- IUCN SSC Amphibian Specialist Group, Toronto, Ontario, Canada.
| | - Janice Chanson
- Re:wild, Austin, TX, USA
- IUCN SSC Amphibian Specialist Group, Toronto, Ontario, Canada
| | - Kelsey Neam
- Re:wild, Austin, TX, USA
- IUCN SSC Amphibian Specialist Group, Toronto, Ontario, Canada
| | - Louise Hobin
- IUCN SSC Amphibian Specialist Group, Toronto, Ontario, Canada
| | | | - Alessandro Catenazzi
- Florida International University, Miami, FL, USA
- Centro de Ornitologia y Biodiversidad (CORBIDI), Lima, Peru
| | - Amaël Borzée
- IUCN SSC Amphibian Specialist Group, Toronto, Ontario, Canada
- Laboratory of Animal Behaviour and Conservation, College of Life Sciences, Nanjing Forestry University, Nanjing, People's Republic of China
| | - Amir Hamidy
- Laboratory of Herpetology, Museum Zoologicum Bogoriense, Research Center for Biosystematics and Evolution, National Research and Innovation Agency (BRIN), Cibinong, Indonesia
| | - Anchalee Aowphol
- Department of Zoology, Faculty of Science, Kasetsart University, Bangkok, Thailand
| | - Anderson Jean
- Action Pour la Sauvegarde de l'Ecologie en Haïti (ACSEH), Les Cayes, Haiti
- Environmental Protection In the Caribbean (EPIC), Maho, Sint Maarten
| | | | - Ansel Fong G
- Centro Oriental de Ecosistemas y Biodiversidad (BIOECO), Museo de Historia Natural "Tomás Romay", Santiago de Cuba, Cuba
| | - Anslem de Silva
- IUCN SSC Amphibian Specialist Group, Sri Lanka, Gampola, Sri Lanka
| | - Antoine Fouquet
- Laboratoire Évolution & Diversité Biologique, UMR 5174, Université Toulouse III Paul Sabatier, Toulouse, France
| | - Ariadne Angulo
- IUCN SSC Amphibian Specialist Group, Toronto, Ontario, Canada
| | - Artem A Kidov
- Russian State Agrarian University-MTAA, Moscow, Russia
| | - Arturo Muñoz Saravia
- IUCN SSC Amphibian Specialist Group Bolivia, La Paz, Bolivia
- Animal Nutrition Unit, Department of Veterinary and Biosciences, Ghent University, Ghent, Belgium
| | - Arvin C Diesmos
- ASEAN Centre for Biodiversity, University of the Philippines Los Baños, Laguna, Philippines
- HerpWatch Pilipinas, Manila, Philippines
| | - Atsushi Tominaga
- Faculty of Education, University of the Ryukyus, Okinawa, Japan
- Graduate School of Engineering and Science, University of the Ryukyus, Okinawa, Japan
| | - Biraj Shrestha
- SAVE THE FROGS!, Laguna Beach, CA, USA
- The University of Texas at Arlington, Arlington, TX, USA
| | - Brian Gratwicke
- Smithsonian Conservation Biology Institute, Front Royal, VA, USA
| | - Burhan Tjaturadi
- Center for Environmental Studies, Sanata Dharma University (CESSDU), Yogyakarta, Indonesia
| | - Carlos C Martínez Rivera
- Pinelands Preservation Alliance, Southampton Township, NJ, USA
- Centro de Conservación de Anfibios, Amaru Bioparque, Cuenca, Ecuador
| | - Carlos R Vásquez Almazán
- Museo de Historia Natural, Escuela de Biologia, Universidad de San Carlos, Guatemala City, Guatemala
- FUNDAECO, Guatemala City, Guatemala
| | - Celsa Señaris
- Estación Biológica de Doñana (EBD-CSIC), Seville, Spain
| | - S R Chandramouli
- Department of Ecology and Environmental Sciences, Pondicherry University, Puducherry, India
| | | | | | - Claudio Azat
- Sustainability Research Center & PhD Program in Conservation Medicine, Faculty of Life Sciences, Universidad Andres Bello, Santiago, Chile
| | - Conrad J Hoskin
- College of Science & Engineering, James Cook University, Townsville, Queensland, Australia
| | | | - Damion L Whyte
- Department of Life Sciences, University of the West Indies Mona, Kingston, Jamaica
| | | | - Deanna H Olson
- Pacific Northwest Research Station, United States Department of Agriculture, Forest Service, Corvallis, OR, USA
| | - Diego F Cisneros-Heredia
- Universidad San Francisco de Quito USFQ, Colegio de Ciencias Biológicas y Ambientales, Instituto de Biodiversidad Tropical IBIOTROP, Quito, Ecuador
- Instituto Nacional de Biodiversidad INABIO, Quito, Ecuador
| | - Diego José Santana
- Instituto de Biociências, Universidade Federal de Mato Grosso do Sul, Campo Grande, Brazil
| | - Elizah Nagombi
- The New Guinea Binatang Research Center, Madang, Papua New Guinea
| | - Elnaz Najafi-Majd
- Department of Zoology, Faculty of Science, Ege University, İzmir, Turkey
| | - Evan S H Quah
- Institute for Tropical Biology and Conservation, Universiti Malaysia Sabah, Kota Kinabalu, Malaysia
- Lee Kong Chian Natural History Museum, National University of Singapore, Singapore, Singapore
| | - Federico Bolaños
- Escuela de Biología, Universidad de Costa Rica, San José, Costa Rica
- CIBET (Museo de Zoología), Universidad de Costa Rica, San José, Costa Rica
| | - Feng Xie
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, People's Republic of China
| | | | | | | | - Frank Glaw
- Zoologische Staatssammlung München (ZSM-SNSB), Munich, Germany
| | | | - Fred Kraus
- Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI, USA
| | - Gabriela Parra-Olea
- Instituto de Biologia, Universidad Nacional Autónoma de México, Mexico City, Mexico
| | - Gerardo Chaves
- CIBET (Museo de Zoología), Universidad de Costa Rica, San José, Costa Rica
| | - Guido F Medina-Rangel
- Instituto de Ciencias Naturales, Universidad Nacional de Colombia, Bogotá D.C., Colombia
| | | | - H Mauricio Ortega-Andrade
- Biogeography and Spatial Ecology Research Group, Life Sciences Faculty, Universidad Regional Amazónica IKIAM, Tena, Ecuador
- Herpetology Division, Instituto Nacional de Biodiversidad, Quito, Ecuador
| | - Iberê F Machado
- Instituto Boitatá de Etnobiologia e Conservação da Fauna, Goiânia, Brazil
| | - Indraneil Das
- Institute of Biodiversity and Environmental Conservation, Universiti Malaysia Sarawak, Kota Samarahan, Malaysia
| | - Iuri Ribeiro Dias
- Departamento de Ciências Biológicas, Universidade Estadual de Santa Cruz, Ilhéus, Brazil
| | - J Nicolas Urbina-Cardona
- Departamento de Ecología y Territorio, Facultad de Estudios Ambientales y Rurales, Pontificia Universidad Javeriana, Bogotá, Colombia
| | - Jelka Crnobrnja-Isailović
- Department of Biology and Ecology, Faculty of Sciences and Mathematics, University of Niš, Niš, Serbia
| | - Jian-Huan Yang
- Kadoorie Farm and Botanic Garden, Hong Kong SAR, People's Republic of China
| | - Jiang Jianping
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, People's Republic of China
| | - Jigme Tshelthrim Wangyal
- University of New England, Armidale, New South Wales, Australia
- Bhutan Ecological Society, Thimphu, Bhutan
| | - Jodi J L Rowley
- Australian Museum Research Institute, Australian Museum, Sydney, New South Wales, Australia
- Centre for Ecosystem Science, School of Biological, Earth and Environmental Sciences (BEES), University of New South Wales, Sydney, New South Wales, Australia
| | - John Measey
- Centre for Invasion Biology, Department of Botany & Zoology, Stellenbosch University, Stellenbosch, South Africa
- Centre for Invasion Biology, Institute of Biodiversity, School of Ecology and Environmental Science, Yunnan University, Kunming, People's Republic of China
| | - Karthikeyan Vasudevan
- Laboratory for the Conservation of Endangered Species, CSIR-Centre for Cellular and Molecular Biology, Hyderabad, India
| | - Kin Onn Chan
- Lee Kong Chian Natural History Museum, National University of Singapore, Singapore, Singapore
| | - Kotambylu Vasudeva Gururaja
- Srishti Manipal Institute of Art, Design and Technology, Manipal Academy of Higher Education, Manipal, India
| | - Kristiina Ovaska
- Biolinx Environmental Research, Victoria, British Columbia, Canada
- Royal British Columbia Museum, Victoria, British Columbia, Canada
| | | | - Luis Canseco-Márquez
- Laboratorio de Herpetología, Facultad de Ciencias, Universidad Nacional Autónoma de México, Mexico City, Mexico
| | - Luís Felipe Toledo
- Laboratório de História Natural de Anfíbios Brasileiros (LaHNAB), Universidade Estadual de Campinas (Unicamp), São Paulo, Brazil
| | - Luis M Díaz
- Museo Nacional de Historia Natural de Cuba, La Habana, Cuba
| | - M Monirul H Khan
- Department of Zoology, Jahangirnagar University, Dhaka, Bangladesh
| | - Madhava Meegaskumbura
- Key Laboratory in Forest Ecology and Conservation, College of Forestry, Guangxi University, Nanning, People's Republic of China
| | - Manuel E Acevedo
- Museo Nacional de Historia Natural "Jorge A. Ibarra", Ciudad de Guatemala, Guatemala
| | - Marcelo Felgueiras Napoli
- Instituto de Biologia, Campus Universitário de Ondina, Universidade Federal da Bahia, Salvador, Brazil
| | | | - Marcos Vaira
- Instituto de Ecorregiones Andinas (INECOA, UNJu-Conicet), San Salvador de Jujuy, Argentina
| | - Margarita Lampo
- Instituto Venezolano de Investigaciones Científicas (IVIC), Miranda, Venezuela
- Fundación para el Desarrollo de las Ciencias Físicas, Matemáticas y Naturales (FUDECI), Caracas, Venezuela
| | - Mario H Yánez-Muñoz
- Unidad de Investigación, Instituto Nacional de Biodiversidad (INABIO), Quito, Ecuador
| | - Mark D Scherz
- Natural History Museum of Denmark, University of Copenhagen, Copenhagen, Denmark
| | - Mark-Oliver Rödel
- Museum für Naturkunde-Leibniz Institute for Evolution and Biodiversity Science, Berlin, Germany
| | | | - Maxon Fildor
- Action Pour la Sauvegarde de l'Ecologie en Haïti (ACSEH), Les Cayes, Haiti
| | - Mirza D Kusrini
- Faculty of Forestry & Environment, IPB University, Bogor, Indonesia
| | | | - Muhammad Rais
- Herpetology Lab, Department of Zoology, Wildlife and Fisheries, Pir Mehr Ali Shah Arid Agriculture University Rawalpindi, Rawalpindi, Pakistan
| | - N'Goran G Kouamé
- Laboratoire de Biodiversité et Ecologie Tropicale, UFR Environnement, Université Jean Lorougnon Guédé, Daloa, Côte d'Ivoire
| | - Nieves García
- IUCN Species Survival Commission, Gland, Switzerland
| | - Nono Legrand Gonwouo
- Laboratory of Zoology, Faculty of Science, University of Yaoundé I, Yaoundé, Cameroon
| | | | - Paul Y Imbun
- Zoology Unit, Research and Education Section, Sabah Parks, Kota Kinabalu, Malaysia
| | - Philipp Wagner
- Allwetterzoo, Münster, Germany
- Center for Biodiversity and Ecosystem, Villanova University, Villanova, PA, USA
| | - Philippe J R Kok
- Department of Ecology and Vertebrate Zoology, Faculty of Biology and Environmental Protection, University of Łódź, Łódź, Poland
- Department of Life Sciences, The Natural History Museum, London, UK
| | - Rafael L Joglar
- Rio Piedras Campus, University of Puerto Rico, San Juan, Puerto Rico
- Proyecto Coqui, San Juan, Puerto Rico
| | - Renoir J Auguste
- Department of Life Sciences, The University of the West Indies, St Augustine, Trinidad and Tobago
| | | | - Roberto Ibáñez
- Smithsonian Tropical Research Institute, Panama, República de Panamá
| | - Rudolf von May
- California State University Channel Islands, Camarillo, CA, USA
| | - S Blair Hedges
- Center for Biodiversity, Temple University, Philadelphia, PA, USA
| | - S D Biju
- Systematics Lab, Department of Environmental Studies, University of Delhi, Delhi, India
| | | | - Sally Wren
- IUCN SSC Amphibian Specialist Group, Toronto, Ontario, Canada
- Department of Zoology, University of Otago, Dunedin, New Zealand
| | - Sandeep Das
- Centre for Research in Emerging Tropical Diseases, Department of Zoology, University of Calicut, Kerala, India
- EDGE of Existence programme, Conservation and Policy, Zoological Society of London, London, UK
| | | | - Sara L Ashpole
- Environmental Studies, St Lawrence University, Canton, NY, USA
- , Prescott, Ontario, Canada
| | | | | | | | - Sonali Garg
- Systematics Lab, Department of Environmental Studies, University of Delhi, Delhi, India
- Department of Organismic and Evolutionary Biology and Museum of Comparative Zoology, Harvard University, Cambridge, MA, USA
| | - Somphouthone Phimmachak
- Department of Biology, Faculty of Natural Sciences, National University of Laos, Vientiane, Laos
| | - Stephen J Richards
- Herpetology Department, South Australian Museum, Adelaide, South Australia, Australia
| | - Tahar Slimani
- Faculty of Sciences Sremlalia, Cadi Ayyad University, Marrakech, Morocco
| | - Tamara Osborne-Naikatini
- School of Agriculture, Geography, Environment, Ocean and Natural Sciences, The University of the South Pacific, Suva, Fiji
| | | | - Thais H Condez
- Department of Earth Sciences, Carleton University, Ottawa, Ontario, Canada
| | | | - Timothy P Cutajar
- Australian Museum Research Institute, Australian Museum, Sydney, New South Wales, Australia
- Centre for Ecosystem Science, School of Biological, Earth and Environmental Sciences (BEES), University of New South Wales, Sydney, New South Wales, Australia
| | - Todd W Pierson
- Department of Ecology, Evolution and Organismal Biology, Kennesaw State University, Kennesaw, GA, USA
| | - Truong Q Nguyen
- Institute of Ecology and Biological Resources, Vietnam Academy of Science and Technology, Ha Noi, Viet Nam
| | - Uğur Kaya
- Department of Zoology, Faculty of Science, Ege University, İzmir, Turkey
| | - Zhiyong Yuan
- School of Life Sciences, Southwest University, Chongqing, People's Republic of China
| | | | - Penny Langhammer
- Re:wild, Austin, TX, USA
- Arizona State University, Tempe, AZ, USA
| | - Simon N Stuart
- IUCN Species Survival Commission, Gland, Switzerland
- A Rocha International, London, UK
- Synchronicity Earth, London, UK
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Yuan Z. Handcrafted Radiomics, Deep Learning Radiomics in the Prediction of Radiation Pneumonitis for NSCLC Patients Treated with Immunotherapy Followed with Thoracic Radiotherapy. Int J Radiat Oncol Biol Phys 2023; 117:e79. [PMID: 37786181 DOI: 10.1016/j.ijrobp.2023.06.822] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Our previous study has shown that NSCLC patients previously received immune checkpoint inhibitors (ICIs) underwent thoracic intensity modulated radiotherapy have a higher risk of acute radiation pneumonitis (RP). This study aimed to establish machine learning models using handcrafted radiomics (HCR), deep learning-based radiomics (DLR) and clinical characteristics to improve the prediction of symptomatic radiation pneumonitis (RP) (grade ≥ 2) status for NSCLC patients treated with immunotherapy followed with thoracic radiotherapy. MATERIALS/METHODS This study retrospectively collected data of 61 NSCLC patients meeting the requirements of study enrollment. Of these 61 patients, 35 developed symptomatic graded ≥ 2 RP. We defined 3 regions of interest (ROIs) in planning CT images including gross tumor volume (GTV), planning tumor volume (PTV), PTV-GTV. We calculated the mean dose, V5, V10, V20, and V30 within TL-GTV, and the volume of GTV, PTV and total lung. A total of 516 handcrafted radiomics features and 512 deep features were extracted from each 3 ROIs. Person Correlation Analysis and Least Absolute Shrinkage and Selection Operator (LASSO) were used to reduce the dimension of features. The HCR models, DLR models and the fusion models across different ROIs with machine learning classifiers were built and compared. RESULTS In multi-classifier modeling, models with PTV under logistic regression (LR) classifiers showed better prediction than other ROIs under different machine learning algorithms. Based on PTV with LR, HCR+ DLR model had better performance, with an area under the curve (AUC) of 0.95 (95% confidence interval (CI): 0.893-1) in the training cohort and 0.87 (95% CI: 0.698-1) in the test cohort, which was higher than that of HCR model, with an AUC of 0.86 (95% CI: 0.755-0.9) in the training cohort and 0.82 (95% CI: 0.624-1) in the test cohort, the results of fusion model with HCR, DLR and 7 clinical characteristics including T, N, clinical stage, age, smoking, radiotherapy alone/combined and V30, demonstrated the best distinguishing performance, with an AUC of 0.99 (95% CI: 0.970-1) in the training cohort and 0.91 (95% CI: 0.784-1) in the test cohort. CONCLUSION The combination of HCR, DLR and clinical characteristic underwent machine learning algorithms can improve the prediction of symptomatic RP in NSCLC patients treated with ICIs followed with thoracic radiotherapy.
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Affiliation(s)
- Z Yuan
- Department of Radiology, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, PR, China, Wuhan, China, China
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Song Y, Yu X, Wang Y, Dong Y, Yuan Z. Accuracy analysis of different dose calculation algorithms for locally advanced pancreatic cancer stereotactic body radiotherapy. J Cancer 2023; 14:2694-2699. [PMID: 37779867 PMCID: PMC10539394 DOI: 10.7150/jca.87596] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Accepted: 08/25/2023] [Indexed: 10/03/2023] Open
Abstract
Background: The dose distribution in different optimization algorithm plans of stereotactic radiotherapy (SBRT) for locally advanced pancreatic cancer (LAPC) were compared and analyzed using monte carlo dose calculate algorithm (MC). Methods: A retrospective study analyzed 26 LAPC patients treated with SBRT. The SBRT plans were designed by raytracing (RT) and fine size pencil beam (FSPB) algorithms in the CyberKnife (CK) precision system, all of which met the requirements of clinical target dose and organ at risk (OAR). Keeping the original optimization parameters unchanged, the RT and FSPB algorithm plans were recalculated by MC algorithm. The accuracy of different algorithm plnas were compared and analyzed by using planning parameters and dose distribution. Results: There was no significant differences in the coverage and conformal index (CI) of the planned target volume (PTV) between RT and FSPB algorithm plans, but dose distribution of organ at risk (OAR) and the maximum dose outside the PTV boundary of 2 cm (D2cm) were lower in FSPB plans compared to RT plans, and this difference was statistically significant with p-values < 0.05. Compared to the MC algorithm, both RT algorithm and FSPB algorithm overestimated dose of the PTV and OAR. The RT algorithm was more consistent with the MC algorithm than the FSPB algorithm. The relative error of PTV coverage within the RT algorithm was 8.02% ± 1.53%, and the relative error range of OAR dose parameters was 3.32% -12.73%. Conclusion: Although the FSPB algorithm could achieve rapid dose drop-off around the PTV and lower dose distribution in the OAR for pancreatic cancer SBRT plans, the algorithm error were higher than the RT algorithm. RT and FSPB algorithm overestimated the dose in the target and OAR. That was important to evaluate the clinical plans.
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Affiliation(s)
- Yongchun Song
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, 300060, People's Republic of China
| | - Xuyao Yu
- Tianjin Medical University, Tianjin, 300070, People's Republic of China
| | - Yuwen Wang
- Department of Radiotherapy, Tianjin Cancer Hospital Airport Hospital, Tianjin, 300308, People's Republic of China
| | - Yang Dong
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, 300060, People's Republic of China
| | - Zhiyong Yuan
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, 300060, People's Republic of China
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20
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Wang X, Bai H, Gao M, Guan Y, Yu L, Li J, Dong Y, Song Y, Tao Z, Meng M, Wu Z, Zhao L, Yuan Z. Impact of radiation dose to the immune system on disease progression and survival for early-stage non-small cell lung cancer treated with stereotactic body radiation therapy. Radiother Oncol 2023; 186:109804. [PMID: 37437605 DOI: 10.1016/j.radonc.2023.109804] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Revised: 06/23/2023] [Accepted: 07/04/2023] [Indexed: 07/14/2023]
Abstract
OBJECTIVES Although the effects of estimated dose of radiation to immune cells (EDRIC) in stage III NSCLC, LA-NSCLC, LS-SCLC and esophageal cancer on clinical outcomes have been studied, its impact in early-stage non-small cell lung cancer (ES-NSCLC) is unknown. In this study, we evaluated the role of EDRIC and identified the factors influencing EDRIC in this population. METHODS AND MATERIALS We retrospectively analyzed 211 pathologically confirmed ES-NSCLC patients who were treated with SBRT between 2007 and 2020. EDRIC was calculated based on the model developed by Jin et al. and improved by Ladbury et al. Kaplan-Meier method and Cox proportional hazards regression were adopted to estimate CSS, PFS, LPFS, and DMFS. Pearson correlation was used to assess the correlation between variables. We further validated our findings in an independent cohort of 119 patients with ES-NSCLC. RESULTS A total of 211 patients were included with median follow-up of 48 months in the training cohort. The median EDRIC was 2.178 Gy (range: 0.426-6.015). GTV showed a positive correlation with EDRIC (r = 0.707, P = 0.000). In multivariate analysis, higher EDRIC was significantly associated with worse CSS (HR = 1.468, P = 0.009) and DMFS (HR = 1.491, P = 0.016). Considering each EDRIC quartile, there was a significant difference in CSS between 1st and 4th and 1st and 3rd quartile (P = 0.000, P = 0.004, respectively); and DMFS between 1st and 4th,1st and 3rd, and 1st and 2nd quartile (P = 0.000, P = 0.000, P = 0.008, respectively). In the subgroup and validation cohort, EDRIC was also the important prognostic predictor of CSS and DMFS using multivariate analysis. CONCLUSION EDRIC was an independent predictor of CSS and DMFS in ES-NSCLC, and it was affected by GTV and tumor location. Though EDRIC is a critical determinant of treatment outcomes, it is quantifiable and potentially modifiable. Additional researches exploring the feasibility of achieving lower EDRIC while maintaining adequate tumor coverage during radiotherapy are warranted.
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Affiliation(s)
- Xiaofeng Wang
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin 300060, China
| | - Hui Bai
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin 300060, China
| | - Miaomiao Gao
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin 300060, China
| | - Yong Guan
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin 300060, China
| | - Lu Yu
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin 300060, China
| | - Junyi Li
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin 300060, China
| | - Yang Dong
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin 300060, China
| | - Yongchun Song
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin 300060, China
| | - Zhen Tao
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin 300060, China
| | - Maobin Meng
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin 300060, China
| | - Zhiqiang Wu
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin 300060, China
| | - Lujun Zhao
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin 300060, China
| | - Zhiyong Yuan
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin 300060, China.
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Dai X, Pradhan A, Liu J, Liu R, Zhai G, Zhou L, Dai J, Shao F, Yuan Z, Wang Z, Yin Z. Zebrafish gonad mutant models reveal neuroendocrine mechanisms of brain sexual dimorphism and male mating behaviors of different brain regions. Biol Sex Differ 2023; 14:53. [PMID: 37605245 PMCID: PMC10440941 DOI: 10.1186/s13293-023-00534-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Accepted: 07/16/2023] [Indexed: 08/23/2023] Open
Abstract
BACKGROUND Sexually dimorphic mating behaviors differ between sexes and involve gonadal hormones and possibly sexually dimorphic gene expression in the brain. However, the associations among the brain, gonad, and sexual behavior in teleosts are still unclear. Here, we utilized germ cells-free tdrd12 knockout (KO) zebrafish, and steroid synthesis enzyme cyp17a1-deficient zebrafish to investigate the differences and interplays in the brain-gonad-behavior axis, and the molecular control of brain dimorphism and male mating behaviors. METHODS Tdrd12+/-; cyp17a1+/- double heterozygous parents were crossed to obtain tdrd12-/-; cyp17a1+/+ (tdrd12 KO), tdrd12+/+; cyp17a1-/- (cyp17a1 KO), and tdrd12-/-; cyp17a1-/- (double KO) homozygous progenies. Comparative analysis of mating behaviors were evaluated using Viewpoint zebrafish tracking software and sexual traits were thoroughly characterized based on anatomical and histological experiments in these KOs and wild types. The steroid hormone levels (testosterone, 11-ketotestosterone and 17β-estradiol) in the brains, gonads, and serum were measured using ELISA kits. To achieve a higher resolution view of the differences in region-specific expression patterns of the brain, the brains of these KOs, and control male and female fish were dissected into three regions: the forebrain, midbrain, and hindbrain for transcriptomic analysis. RESULTS Qualitative analysis of mating behaviors demonstrated that tdrd12-/- fish behaved in the same manner as wild-type males to trigger oviposition behavior, while cyp17a1-/- and double knockout (KO) fish did not exhibit these behaviors. Based on the observation of sex characteristics, mating behaviors and hormone levels in these mutants, we found that the maintenance of secondary sex characteristics and male mating behavior did not depend on the presence of germ cells; rather, they depended mainly on the 11-ketotestosterone and testosterone levels secreted into the brain-gonad regulatory axis. RNA-seq analysis of different brain regions revealed that the brain transcript profile of tdrd12-/- fish was similar to that of wild-type males, especially in the forebrain and midbrain. However, the brain transcript profiles of cyp17a1-/- and double KO fish were distinct from those of wild-type males and were partially biased towards the expression pattern of the female brain. Our results revealed important candidate genes and signaling pathways, such as synaptic signaling/neurotransmission, MAPK signaling, and steroid hormone pathways, that shape brain dimorphism and modulate male mating behavior in zebrafish. CONCLUSIONS Our results provide comprehensive analyses and new insights regarding the endogenous interactions in the brain-gonad-behavior axis. Moreover, this study revealed the crucial candidate genes and neural signaling pathways of different brain regions that are involved in modulating brain dimorphism and male mating behavior in zebrafish, which would significantly light up the understanding the neuroendocrine and molecular mechanisms modulating brain dimorphism and male mating behavior in zebrafish and other teleost fish.
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Affiliation(s)
- Xiangyan Dai
- Key Laboratory of Freshwater Fish Reproduction and Development (Ministry of Education), Key Laboratory of Aquatic Science of Chongqing, School of Life Sciences, Southwest University, Chongqing, 400715, China
| | - Ajay Pradhan
- Biology, The Life Science Center, School of Science and Technology, Örebrorebro University, 70182, Örebro, Sweden
| | - Jiao Liu
- Key Laboratory of Freshwater Fish Reproduction and Development (Ministry of Education), Key Laboratory of Aquatic Science of Chongqing, School of Life Sciences, Southwest University, Chongqing, 400715, China
| | - Ruolan Liu
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, 430072, China
| | - Gang Zhai
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, 430072, China
| | - Linyan Zhou
- Key Laboratory of Freshwater Fish Reproduction and Development (Ministry of Education), Key Laboratory of Aquatic Science of Chongqing, School of Life Sciences, Southwest University, Chongqing, 400715, China
| | - Jiyan Dai
- Key Laboratory of Freshwater Fish Reproduction and Development (Ministry of Education), Key Laboratory of Aquatic Science of Chongqing, School of Life Sciences, Southwest University, Chongqing, 400715, China
| | - Feng Shao
- Key Laboratory of Freshwater Fish Reproduction and Development (Ministry of Education), Key Laboratory of Aquatic Science of Chongqing, School of Life Sciences, Southwest University, Chongqing, 400715, China
| | - Zhiyong Yuan
- Key Laboratory of Freshwater Fish Reproduction and Development (Ministry of Education), Key Laboratory of Aquatic Science of Chongqing, School of Life Sciences, Southwest University, Chongqing, 400715, China
| | - Zhijian Wang
- Key Laboratory of Freshwater Fish Reproduction and Development (Ministry of Education), Key Laboratory of Aquatic Science of Chongqing, School of Life Sciences, Southwest University, Chongqing, 400715, China.
| | - Zhan Yin
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, 430072, China.
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Yu X, He L, Wang Y, Dong Y, Song Y, Yuan Z, Yan Z, Wang W. A deep learning approach for automatic tumor delineation in stereotactic radiotherapy for non-small cell lung cancer using diagnostic PET-CT and planning CT. Front Oncol 2023; 13:1235461. [PMID: 37601687 PMCID: PMC10437048 DOI: 10.3389/fonc.2023.1235461] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Accepted: 07/10/2023] [Indexed: 08/22/2023] Open
Abstract
Introduction Accurate delineation of tumor targets is crucial for stereotactic body radiation therapy (SBRT) for non-small cell lung cancer (NSCLC). This study aims to develop a deep learning-based segmentation approach to accurately and efficiently delineate NSCLC targets using diagnostic PET-CT and SBRT planning CT (pCT). Methods The diagnostic PET was registered to pCT using the transform matrix from registering diagnostic CT to the pCT. We proposed a 3D-UNet-based segmentation method to segment NSCLC tumor targets on dual-modality PET-pCT images. This network contained squeeze-and-excitation and Residual blocks in each convolutional block to perform dynamic channel-wise feature recalibration. Furthermore, up-sampling paths were added to supplement low-resolution features to the model and also to compute the overall loss function. The dice similarity coefficient (DSC), precision, recall, and the average symmetric surface distances were used to assess the performance of the proposed approach on 86 pairs of diagnostic PET and pCT images. The proposed model using dual-modality images was compared with both conventional 3D-UNet architecture and single-modality image input. Results The average DSC of the proposed model with both PET and pCT images was 0.844, compared to 0.795 and 0.827, when using 3D-UNet and nnUnet. It also outperformed using either pCT or PET alone with the same network, which had DSC of 0.823 and 0.732, respectively. Discussion Therefore, our proposed segmentation approach is able to outperform the current 3D-UNet network with diagnostic PET and pCT images. The integration of two image modalities helps improve segmentation accuracy.
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Affiliation(s)
- Xuyao Yu
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin’s Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, China
- Tianjin Medical University, Tianjin, China
| | - Lian He
- Perception Vision Medical Technologies Co Ltd, Guangzhou, China
| | - Yuwen Wang
- Department of Radiotherapy, Tianjin Cancer Hospital Airport Hospital, Tianjin, China
| | - Yang Dong
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin’s Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, China
| | - Yongchun Song
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin’s Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, China
| | - Zhiyong Yuan
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin’s Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, China
| | - Ziye Yan
- Perception Vision Medical Technologies Co Ltd, Guangzhou, China
| | - Wei Wang
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin’s Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, China
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Liu Y, Gong Y, Zhang C, Meng P, Gai Y, Han X, Yuan Z, Xing J, Dong Z. Effect of neuromuscular electrical stimulation combined with early rehabilitation therapy on mechanically ventilated patients: a prospective randomized controlled study. BMC Pulm Med 2023; 23:272. [PMID: 37480065 PMCID: PMC10362773 DOI: 10.1186/s12890-023-02481-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Accepted: 05/16/2023] [Indexed: 07/23/2023] Open
Abstract
BACKGROUND This study aimed to investigate the effectiveness of neuromuscular electrical stimulation (NMES) blended with early rehabilitation on the diaphragm and skeletal muscle in sufferers on mechanical ventilation (MV). METHOD This is a prospective randomized controlled study. Eighty patients on MV for respiratory failure were divided into a study group (40 cases) and a control group (40 cases) randomly. The study group adopted a treatment method of NMES combined with early rehabilitation and the control group adopted the method of early rehabilitation only. The diaphragmatic excursion (DE), diaphragmatic thickening fraction (DTF), variation of thickness of intercostal muscles (TIM), variation of thickness of rectus abdominis (TRA), and variation of the cross-sectional area of rectus femoris (CSA-RF) were measured to evaluate the therapeutic effect by ultrasound before and after intervention at the first day of MV, the 3rd and 7th day of intervention and the day discharged from ICU. RESULTS No significant difference was found in the general demographic information and ultrasound indicators between the two groups before treatment (all P > 0.05). After treatment, the variation of DTF (0.15 ± 0.05% vs. 0.12 ± 0.04%, P = 0.034) was significantly higher in the study group than that in the control group on the day discharged from ICU. The variation of TRA (0.05 ± 0.09% vs. 0.10 ± 0.11%, P = 0.029) and variation of CSA-RF (0.13 ± 0.07% vs. 0.19 ± 0.08%, P < 0.001) in the study group were significantly lower than that in the control group. The duration of MV in the study group was significantly shorter than that in the control group [109.5 (88.0, 213.0) hours vs. 189.5 (131.5, 343.5) hours, P = 0.023]. The study group had better muscle strength score than the control group at discharge (52.20 ± 11.70 vs. 44.10 ± 15.70, P = 0.011). CONCLUSION NMES combined with early rehabilitation therapy is beneficial in reducing muscle atrophy and improving muscle strength in mechanically ventilated patients. This treatment approach may provide a new option for patients to choose a rehabilitation program; however, more research is needed to fully evaluate the effectiveness of this treatment option.
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Affiliation(s)
- Ying Liu
- Department of Critical Care Medicine, The Affiliated Hospital of Qingdao University, No. 16, Jiangsu Road, Qingdao, Shandong, 266000, China
| | - Yangyang Gong
- Department of Rehabilitation Medicine, The affiliated hospital of Qingdao University, Qingdao, Shandong, 266000, China
| | - Chaofan Zhang
- Department of Critical Care Medicine, The Affiliated Hospital of Qingdao University, No. 16, Jiangsu Road, Qingdao, Shandong, 266000, China
| | - Pingping Meng
- Department of Rehabilitation Medicine, The affiliated hospital of Qingdao University, Qingdao, Shandong, 266000, China
| | - Yubiao Gai
- Department of Critical Care Medicine, The Affiliated Hospital of Qingdao University, No. 16, Jiangsu Road, Qingdao, Shandong, 266000, China
| | - Xiaoning Han
- Department of Critical Care Medicine, The Affiliated Hospital of Qingdao University, No. 16, Jiangsu Road, Qingdao, Shandong, 266000, China
| | - Zhiyong Yuan
- Department of Critical Care Medicine, The Affiliated Hospital of Qingdao University, No. 16, Jiangsu Road, Qingdao, Shandong, 266000, China
| | - Jinyan Xing
- Department of Critical Care Medicine, The Affiliated Hospital of Qingdao University, No. 16, Jiangsu Road, Qingdao, Shandong, 266000, China.
| | - Zehua Dong
- Department of Critical Care Medicine, The Affiliated Hospital of Qingdao University, No. 16, Jiangsu Road, Qingdao, Shandong, 266000, China.
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Zhang X, Chen Y, Li Z, Shang J, Yuan Z, Deng W, Luo Y, Han N, Yin P, Yin J. [Analysis of therapeutic mechanism of Liushen Wan against colitis-associated colorectal cancer based on network pharmacology and validation in mice]. Nan Fang Yi Ke Da Xue Xue Bao 2023; 43:1051-1062. [PMID: 37488787 PMCID: PMC10366510 DOI: 10.12122/j.issn.1673-4254.2023.07.01] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 07/26/2023]
Abstract
OBJECTIVE To explore the therapeutic mechanism of Liushen Wan (LSW) against colitis-associated colorectal cancer (CAC) by network pharmacology. METHODS TCMSP, BATMAN-TCM, CNKI, PubMed, Genecards, OMIM, and TTD databases were used to obtain the related targets of LSW and CAC. The common targets of LSW and CAC were obtained using Venny online website. The PPI network was constructed using Cytoscape 3.8.2 to screen the core targets of LSW in the treatment of CAC. GO and KEGG enrichment analysis were conducted using DAVID database. The therapeutic effect of LSW on CAC was evaluated in a C57BL/6J mouse model of AOM/DSS-induced CAC by observing the changes in body weight, disease activity index, colon length, and size and number of the tumor. HE staining and RT-qPCR were used to analyze the effect of LSW on inflammatory mediators. Immunohistochemistry and TUNEL staining were used to evaluate the effect of LSW on the proliferation and apoptosis of AOM/DSS-treated colon tumor cells. Immunohistochemistry and Western blotting were used to detect the effects of LSW on the expression of TLR4 proteins in CAC mice. RESULTS Network pharmacology analysis identified 69 common targets of LSW and CAC, and 33 hub targets were screened in the PPI network. KEGG pathway enrichment analysis suggested that the effect of LSW on CAC was mediated by the Toll-like receptor signaling pathway. In the mouse model of AOM/DSS-induced CAC, LSW significantly inhibited colitis-associated tumorigenesis, reduced tumor number and tumor load (P < 0.05), obviously improved histopathological changes in the colon, downregulated the mRNA levels of proinflammatory cytokines, and inhibited the proliferation (P < 0.01) and promoted apoptosis of colon tumor cells (P < 0.001). LSW also significantly decreased TLR4 protein expression in the colon tissue (P < 0.05). CONCLUSION LSW can inhibit CAC in mice possibly by regulating the expression of TLR4 to reduce intestinal inflammation, inhibit colon tumor cell proliferation and promote their apoptosis.
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Affiliation(s)
- X Zhang
- School of Traditional Chinese Medicine, Shengyang Pharmaceutical University, Benxi 117004, China
- Interventional Cancer Institute of Chinese Integrative Medicine, Shanghai Institute of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai 200062, China
| | - Y Chen
- School of Traditional Chinese Medicine, Shengyang Pharmaceutical University, Benxi 117004, China
- Interventional Cancer Institute of Chinese Integrative Medicine, Shanghai Institute of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai 200062, China
| | - Z Li
- Department of General Surgery, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200062, China
- Interventional Cancer Institute of Chinese Integrative Medicine, Shanghai Institute of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai 200062, China
| | - J Shang
- Department of General Surgery, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200062, China
- Interventional Cancer Institute of Chinese Integrative Medicine, Shanghai Institute of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai 200062, China
| | - Z Yuan
- Interventional Cancer Institute of Chinese Integrative Medicine, Shanghai Institute of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai 200062, China
| | - W Deng
- Interventional Cancer Institute of Chinese Integrative Medicine, Shanghai Institute of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai 200062, China
| | - Y Luo
- Clinical Laboratory, Shanghai Changning Maternity and Infant Health Hospital, Shanghai 200000, China
| | - N Han
- School of Traditional Chinese Medicine, Shengyang Pharmaceutical University, Benxi 117004, China
| | - P Yin
- Department of General Surgery, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200062, China
- Interventional Cancer Institute of Chinese Integrative Medicine, Shanghai Institute of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai 200062, China
| | - J Yin
- School of Traditional Chinese Medicine, Shengyang Pharmaceutical University, Benxi 117004, China
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Yuan S, He Z, Zhao J, Yuan Z, Alhudhaif A, Alenezi F. Hypergraph and cross-attention-based unsupervised domain adaptation framework for cross-domain myocardial infarction localization. Inf Sci (N Y) 2023. [DOI: 10.1016/j.ins.2023.03.078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/17/2023]
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Huang S, Yang Y, Wei S, Kang M, Tsai P, Chen CC, Yuan Z, Choi JI, Tome WA, Simone CB, Lin H. Implementation of novel measurement-based patient-specific QA for pencil beam scanning proton FLASH radiotherapy. Med Phys 2023. [PMID: 37198998 DOI: 10.1002/mp.16458] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2023] [Revised: 03/23/2023] [Accepted: 04/20/2023] [Indexed: 05/19/2023] Open
Abstract
BACKGROUND Several studies have shown pencil beam scanning (PBS) proton therapy is a feasible and safe modality to deliver conformal and ultra-high dose rate (UHDR) FLASH radiation therapy. However, it would be challenging and burdensome to conduct the quality assurance (QA) of the dose rate along with conventional patient-specific QA (psQA). PURPOSE To demonstrate a novel measurement-based psQA program for UHDR PBS proton transmission FLASH radiotherapy (FLASH-RT) using a high spatiotemporal resolution 2D strip ionization chamber array (SICA). METHODS The SICA is a newly designed open-air strip-segmented parallel plate ionization chamber, which is capable of measuring spot position and profile through 2 mm-spacing-strip electrodes at a 20 kHz sampling rate (50 μs per event) and has been characterized to exhibit excellent dose and dose rate linearity under UHDR conditions. A SICA-based delivery log was collected for each irradiation containing the measured position, size, dwell time, and delivered MU for each planned spot. Such spot-level information was compared with the corresponding quantities in the treatment planning system (TPS). The dose and dose rate distributions were reconstructed on patient CT using the measured SICA log and compared to the planned values in volume histograms and 3D gamma analysis. Furthermore, the 2D dose and dose rate measurements were compared with the TPS calculations of the same depth. In addition, simulations using different machine-delivery uncertainties were performed, and QA tolerances were deduced. RESULTS A transmission proton plan of 250 MeV for a lung lesion was planned and measured in a dedicated ProBeam research beamline (Varian Medical System) with a nozzle beam current between 100 to 215 nA. The worst gamma passing rates for dose and dose rate of the 2D SICA measurements (four fields) compared to TPS prediction (3%/3 mm criterion) were 96.6% and 98.8%, respectively, whereas the SICA-log reconstructed 3D dose distribution achieved a gamma passing rate of 99.1% (2%/2 mm criterion) compared to TPS. The deviations between SICA measured log, and TPS were within 0.3 ms for spot dwell time with a mean difference of 0.069 ± 0.11 s, within 0.2 mm for spot position with a mean difference of -0.016 ± 0.03 mm in the x-direction, and -0.036 ± 0.059 mm in the y-direction, and within 3% for delivered spot MUs. Volume histogram metric of dose (D95) and dose rate (V40Gy/s ) showed minimal differences, within less than 1%. CONCLUSIONS This work is the first to describe and validate an all-in-one measurement-based psQA framework that can fulfill the goals of validating the dose rate accuracy in addition to dosimetric accuracy for proton PBS transmission FLASH-RT. The successful implementation of this novel QA program can provide future clinical practice with more confidence in the FLASH application.
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Affiliation(s)
- Sheng Huang
- New York Proton Center, New York, New York, USA
- National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute & Hospital, Tianjin, Tianjin, China
| | - Yunjie Yang
- New York Proton Center, New York, New York, USA
- Department of Medical Physics, MemorialSloan Kettering Cancer Center, New York, New York, USA
| | - Shouyi Wei
- New York Proton Center, New York, New York, USA
| | | | | | | | - Zhiyong Yuan
- National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute & Hospital, Tianjin, Tianjin, China
| | - Jehee Isabelle Choi
- New York Proton Center, New York, New York, USA
- Department of Medical Physics, MemorialSloan Kettering Cancer Center, New York, New York, USA
| | - Wolfgang A Tome
- Department of Radiation Oncology and Department of Neurology, Montefiore Medical Center and Albert Einstein College of Medicine, BRONX, New York, USA
| | - Charles B Simone
- New York Proton Center, New York, New York, USA
- Department of Medical Physics, MemorialSloan Kettering Cancer Center, New York, New York, USA
| | - Haibo Lin
- New York Proton Center, New York, New York, USA
- Department of Medical Physics, MemorialSloan Kettering Cancer Center, New York, New York, USA
- Department of Radiation Oncology and Department of Neurology, Montefiore Medical Center and Albert Einstein College of Medicine, BRONX, New York, USA
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Yu L, Li J, Gao M, Wang X, Bai H, Guan Y, Yuan Z. [Prognosis Analysis of Early-stage Non-small Cell Lung Cancer Patients Treated with Stereotactic Body Radiotherapy]. Zhongguo Fei Ai Za Zhi 2023; 26:274-280. [PMID: 37183642 DOI: 10.3779/j.issn.1009-3419.2023.102.13] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 05/16/2023]
Abstract
BACKGROUND With the aging of the population and the increased importance of lung cancer screening, the number of early-stage lung cancer patients has been on the rise in recent years, which can be classified into operable early-stage lung cancer and inoperable early-stage lung cancer. The most common pathological type is non-small cell lung cancer (NSCLC). Stereotactic body radiation therapy (SBRT) is the optimal treatment for inoperable early-stage NSCLC. The aim of this study was to investigate the prognosis of early-stage NSCLC patients treated with SBRT and its influencing factors in order to reduce the side effects of radiotherapy and improve the survival and quality of life. METHODS Clinical data and follow-up outcomes of early-stage NSCLC patients treated with SBRT in our hospital from August 2010 to August 2020 were collected. Kaplan-Meier method was used to assess the prognosis, and the Cox proportional risk model was used for multivariate prognostic analysis. RESULTS A total of 165 patients were included with a median follow-up time of 43.2 (range: 4.8-132.1) mon. The local control (LC) rates at 1-yr, 2-yr and 5-yr were 98.1%, 94.8% and 86.5% respectively. Karnofsky performance status (KPS) score greater than 80 was an independent prognostic factor for LC (P=0.02). The overall survival (OS) rates at 1-yr, 2-yr and 5-yr were 97.6%, 93.0% and 68.9% respectively. A biological equivalent dose when α/β=10 (BED10) greater than 132 Gy was an independent prognostic factor for OS (P=0.04). Progression-free survival (PFS) rates at 1-yr, 2-yr and 5-yr were 93.3%, 79.5% and 55.3% respectively. The distance metastasis free survival (DMFS) rates at 1-yr, 2-yr and 5-yr were 94.5%, 83.2% and 58.4% respectively. BED10 greater than 150 Gy was an independent prognostic factor for DMFS (P=0.02). The regional control (RC) rates at 1-yr, 2-yr and 5-yr were 98.8%, 95.4% and 87.9% respectively. CONCLUSIONS SBRT is effective in treating early-stage NSCLC. KPS greater than 80 is an independent prognostic factor for LC; BED10 greater than 132 Gy is an independent prognostic factor for OS; BED10 greater than 150 Gy is an independent prognostic factor for DMFS.
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Affiliation(s)
- Lu Yu
- Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer,
Tianjin's Clinical Research Center for Cancer, Tianjin 300060, China
| | - Junyi Li
- Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer,
Tianjin's Clinical Research Center for Cancer, Tianjin 300060, China
| | - Miaomiao Gao
- Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer,
Tianjin's Clinical Research Center for Cancer, Tianjin 300060, China
| | - Xiaofeng Wang
- Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer,
Tianjin's Clinical Research Center for Cancer, Tianjin 300060, China
| | - Hui Bai
- Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer,
Tianjin's Clinical Research Center for Cancer, Tianjin 300060, China
| | - Yong Guan
- Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer,
Tianjin's Clinical Research Center for Cancer, Tianjin 300060, China
| | - Zhiyong Yuan
- Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer,
Tianjin's Clinical Research Center for Cancer, Tianjin 300060, China
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Jia M, Sun B, Wang Y, Gao F, Yuan Z, Pogue BW. Photon-limited Cherenkov imaging of radiation therapy dose. Opt Lett 2023; 48:1918-1921. [PMID: 37221799 PMCID: PMC10914388 DOI: 10.1364/ol.485668] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Accepted: 02/24/2023] [Indexed: 05/25/2023]
Abstract
Cherenkov imaging is a unique verification tool that could provide both dosimetric and tissue functional information during radiation therapy. However, the number of interrogated Cherenkov photons in tissue is always limited and tangled with stray radiation photons, severely frustrating the measurement the signal-to-noise ratio (SNR). As such, here, a noise-robust photon-limited imaging technique is proposed by comprehensively exploiting the physical rationale of low-flux Cherenkov measurements together with the spatial correlations of the objects. Validation experiments confirmed that the Cherenkov signal could be promisingly recovered with high SNR by irradiating at as few as one x ray pulse from a linear accelerator (10 mGy dose), and the Cherenkov excited luminescence imaging depth can be extended by >100% on average, for most concentrations of phosphorescent probe. This approach demonstrates that improved applications in radiation oncology could be seen when signal amplitude, noise robustness, and temporal resolution are comprehensively considered in the image recovery process.
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Affiliation(s)
- Mengyu Jia
- College of Precision Instrument and Optoelectronics Engineering, Tianjin University, Tianjin 300072, China
| | - Boshuai Sun
- College of Precision Instrument and Optoelectronics Engineering, Tianjin University, Tianjin 300072, China
| | - Yuxia Wang
- College of Precision Instrument and Optoelectronics Engineering, Tianjin University, Tianjin 300072, China
| | - Feng Gao
- College of Precision Instrument and Optoelectronics Engineering, Tianjin University, Tianjin 300072, China
- Tianjin Key Laboratory of Biomedical Detecting techniques and Instruments, Tianjin 300072, China
| | - Zhiyong Yuan
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute & Hospital, Tianjin 300060, China
- Key Laboratory of Cancer Prevention and Therapy, Tianjin 300060, China
- National Clinical Research Center for Cancer, Tianjin 300060, China
| | - Brian W. Pogue
- Department of Medical Physics, University of Wisconsin-Madison, Madison WI 53705, USA
- Thayer School of Engineering, Dartmouth College, Hanover NH 03755, USA
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Wang X, Bai H, Li R, Wang L, Zhang W, Liang J, Yuan Z. High versus standard radiation dose of definitive concurrent chemoradiotherapy for esophageal cancer: A systematic review and meta-analysis of randomized clinical trials. Radiother Oncol 2023; 180:109463. [PMID: 36642387 DOI: 10.1016/j.radonc.2023.109463] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Revised: 12/12/2022] [Accepted: 12/30/2022] [Indexed: 01/15/2023]
Abstract
OBJECTIVES Compare the efficacy and safety of high vs standard radiation dose of definitive concurrent chemoradiotherapy (dCCRT) for esophageal cancer (EC). METHODS AND MATERIALS This meta-analysis is registered in PROSPERO, and it was followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guideline. Eligible randomized clinical trials (RCTs) comparing high dose (HD;≥59.4 Gy/1.8 Gy) and standard doses (SD; 50 Gy/2Gy or 50.4 Gy/1.8 Gy) were identified on electronic databases. STATA16.0 was used for statistical analysis. A meta-analysis was performed to compare treatment effect and toxicity. RESULTS Four articles with a total of 1014 patients were finally included. The results showed that the two groups had similar 1-, 2-, and 3-year OS rates (RR = 1.08, 95 % CI = 0.90-1.30, P = 0.395; RR = 1.07, 95 % CI = 0.95-1.20, P = 0.272; RR = 1.06, 95 % CI = 0.97-1.17, P = 0.184; respectively) and 2-, and 3-year locoregional progression-free survival (LRPFS) (RR = 0.95, 95 % CI = 0.81-1.10, P = 0.478; RR = 0.97, 95 % CI = 0.85-1.11, P = 0.674; respectively). The HD-RT group had higher grade ≥ 3 treatment-related toxicities (OR = 1.35, 95 % CI = 1.03-1.77, P = 0.029) and treatment-related deaths rates (OR = 1.85, 95 % CI = 1.04-3.28, P = 0.036) compared with the SD-RT group. Results of subgroup analysis also indicated that HD could not bring benefit compared to SD, even with modern radiotherapy techniques. CONCLUSION SD-RT had similar treatment effect but lower Grade ≥ 3 treatment-related toxicities rates compared with the HD-RT. Therefore, SD (50 Gy/2Gy or 50.4 Gy/1.8 Gy) should be considered as the recommended dose in dCCRT for EC. Further RCTs are needed to verify our conclusions.
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Affiliation(s)
- Xiaofeng Wang
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin 300060, China
| | - Hui Bai
- Department of Radiation Oncology, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou 510095, China
| | - Rui Li
- Department of Thoracic Surgery, Hwa Mei Hospital, University of Chinese Academy of Sciences, Ningbo 315016, China
| | - Lide Wang
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Wencheng Zhang
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin 300060, China.
| | - Jun Liang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China; Department of Radiation Oncology, National Cancer Center/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen 518116, China.
| | - Zhiyong Yuan
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin 300060, China.
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Ji H, Zhang L, Zou M, Sun Y, Dong X, Mi Z, Meng M, Yuan Z, Wu Z. SPATA2 suppresses epithelial-mesenchymal transition to inhibit metastasis and radiotherapy sensitivity in non-small cell lung cancer via impairing DVL1/β-catenin signaling. Thorac Cancer 2023; 14:969-982. [PMID: 36814090 PMCID: PMC10101837 DOI: 10.1111/1759-7714.14828] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Revised: 02/07/2023] [Accepted: 02/09/2023] [Indexed: 02/24/2023] Open
Abstract
Metastasis is the major cause of cancer-related death of cancer patients. Epithelial-mesenchymal transition (EMT) is one critical process during the cascade of tumor metastasis. EMT is a developmental program exploited by cancer cells to transition from epithelial state to mesenchymal state and confers metastatic properties as well as treatment resistance. Finding factors to inhibit EMT will greatly improve the prognosis patients. Spermatogenesis associated 2 (SPATA2) was originally isolated from human testis and proved playing a role in spermatogenesis. To date, however, the role of SPATA2 in oncogenesis is unknown. In the current study, by mining the public database and validating in a cohort of collected non-small cell lung cancer (NSCLC) specimens, we uncovered that the expression of SPATA2 positively correlated with the prognosis of patients and was an independent prognosis marker in NSCLC. Functional studies proved that ectopic overexpression of SPATA2 inhibited EMT resulting in impaired motility and invasiveness properties in vitro and metastasis in vivo, and increased radiosensitivity in NSCLC. Mechanistic investigation showed that SPATA2 could suppress the β-catenin signaling via attenuating DVL1 ubiquitination to achieve the functions. Taken together, the current study revealed an inhibitory role of SPATA2 on EMT and that SPATA2 could be a potential target for therapy of NSCLC.
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Affiliation(s)
- Hongbo Ji
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute and Hospital, Key Laboratory of Cancer Prevention and Therapy, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, China.,Department of Medical Oncology in Section One, Chifeng Municipal Hospital, Chifeng, China
| | - Lu Zhang
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute and Hospital, Key Laboratory of Cancer Prevention and Therapy, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, China
| | - Man Zou
- Department of Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yanchen Sun
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute and Hospital, Key Laboratory of Cancer Prevention and Therapy, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, China
| | - Xiaohan Dong
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute and Hospital, Key Laboratory of Cancer Prevention and Therapy, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, China
| | - Zeyun Mi
- Department of Public Laboratory, Tianjin Medical University Cancer Institute and Hospital, Key Laboratory of Cancer Prevention and Therapy, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, China
| | - Maobin Meng
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute and Hospital, Key Laboratory of Cancer Prevention and Therapy, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, China
| | - Zhiyong Yuan
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute and Hospital, Key Laboratory of Cancer Prevention and Therapy, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, China
| | - Zhiqiang Wu
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute and Hospital, Key Laboratory of Cancer Prevention and Therapy, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, China
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Chen Y, Yan B, Wang CL, Hooper DC, Yuan Z, Lu B. Autoantibodies Drive Heart Damage Caused by Concomitant Radiation and PD-1 Blockade. Cancer Immunol Res 2023; 11:546-555. [PMID: 36790438 DOI: 10.1158/2326-6066.cir-21-0839] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Revised: 03/24/2022] [Accepted: 02/09/2023] [Indexed: 02/16/2023]
Abstract
Concurrent PD-1 blockade and thoracic radiotherapy is being investigated in clinical trials for locally advanced, non-small cell lung cancer (NSCLC) and small cell lung cancer (SCLC), despite a potential overlapping risk of cardiotoxicity. Our prior studies demonstrate that cardiotoxicity from concurrent cardiac irradiation and anti-PD-1 administration in a mouse model is CD8+ T cell-dependent. The objective of this study was to determine if humoral immunity contributed to the observed cardiac tissue damage, as measured by creatine kinase MB and cardiac troponin 1 release and decline in cardiac function. In the current study, we demonstrate the presence of cardiac autoantibodies, which were essential for the occurrence of cardiotoxicity from the combined therapy. Mice subjected to cardiac irradiation, while being treated with anti-PD-1, developed high levels of antibodies that reacted with cardiac tissues in vivo and cardiac antigens in vitro. Moreover, mice deficient in B cells were protected against cardiotoxicity, whereas the transfer of autoantibody-containing sera from mice that had received combined treatment reproduced the same pathological phenotype in mice exposed to cardiac irradiation but was not observed in normal recipients. The cardiotoxic effect of the sera, which associated with CD8+ T-cell accumulation in cardiac tissue, was limited by IgG depletion. In conclusion, concurrent cardiac irradiation and PD-1 blockade leads to production of cardiac autoantibodies, likely due to antigen exposure within the irradiated cardiac tissues, which play a key role in the resulting cardiotoxicity.
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Affiliation(s)
- Yulong Chen
- Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Bo Yan
- Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Chang-Li Wang
- Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - D Craig Hooper
- Thomas Jefferson University, Philadelphia, PA, United States
| | - Zhiyong Yuan
- Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Tianjin, China
| | - Bo Lu
- University of Missouri in Columbia, Columbia, MO, United States
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Yuan Z, Cui H, Wei B. [Current status and future prospects of robotic surgical system in radical gastrectomy for gastric cancer]. Zhonghua Wei Chang Wai Ke Za Zhi 2023; 26:33-37. [PMID: 36649997 DOI: 10.3760/cma.j.cn441530-20221123-00486] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
Robotic gastrectomy (RG) has always been a hot topic in the field of minimally invasive surgery for gastric cancer. More and more studies have confirmed that short- and long-term outcomes of RG are similar to those of laparoscopic gastrectomy. Robotic surgical systems have more advantages in specific regional lymph node dissection. More delicate operation can reduce intraoperative blood loss and the incidence of postoperative complications. Robotic surgical systems are also more ergonomically designed. However, there are also some problems such as high surgical cost, lack of tactile feedback and prolonged total operation time. In the future, robotic surgical system may be further developed in the direction of miniaturization, intelligence and modularity. At the same time, the robotic surgical system deeply integrated with artificial intelligence technology may realize the automation of some operation steps to some extent.
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Affiliation(s)
- Z Yuan
- Department of General Surgery, The First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - H Cui
- Department of General Surgery, The First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - B Wei
- Department of General Surgery, The First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
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Zhao C, Chen Z, Zhu L, Miao Y, Guo J, Yuan Z, Wang P, Li L, Ning W. The BMP inhibitor follistatin-like 1 (FSTL1) suppresses cervical carcinogenesis. Front Oncol 2023; 13:1100045. [PMID: 36756161 PMCID: PMC9901576 DOI: 10.3389/fonc.2023.1100045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Accepted: 01/04/2023] [Indexed: 01/24/2023] Open
Abstract
Follistatin-like 1 (FSTL1) is a cancer-related matricellular secretory protein with contradictory organ-specific roles. Its contribution to the pathogenesis of cervical carcinoma is still not clear. Meanwhile, it is necessary to identify novel candidate genes to understand cervical carcinoma's pathogenesis further and find potential therapeutic targets. We collected cervical carcinoma samples and matched adjacent tissues from patients with the locally-advanced disease and used cervical carcinoma cell lines HeLa and C33A to evaluate the effects of FSTL1 on CC cells. The mRNA transcription and protein expression of FSTL1 in cervical carcinoma tumor biopsy tissues were lower than those of matched adjacent tissues. Patients with a lower ratio of FSTL1 mRNA between the tumor and its matched adjacent tissues showed a correlation with the advanced cervical carcinoma FIGO stages. High expression of FSTL1 markedly inhibited the proliferation, motility, and invasion of HeLa and C33A. Regarding mechanism, FSTL1 plays its role by negatively regulating the BMP4/Smad1/5/9 signaling. Our study has demonstrated the tumor suppressor effect of FSTL1, and these findings suggested a potential therapeutic target and biomarker for cervical carcinoma.
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Affiliation(s)
- Chenjing Zhao
- State Key Laboratory of Medical Chemical Biology, Tianjin Key Laboratory of Protein Sciences, College of Life Sciences, Nankai University, Tianjin, China
| | - Zhongjie Chen
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin’s Clinical Research Center for Cancer, Tianjin, China
| | - Li Zhu
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin’s Clinical Research Center for Cancer, Tianjin, China
| | - Yunheng Miao
- Institute of Entomology, College of Life Sciences, Nankai University, Tianjin, China
| | - Jiasen Guo
- State Key Laboratory of Medical Chemical Biology, Tianjin Key Laboratory of Protein Sciences, College of Life Sciences, Nankai University, Tianjin, China
| | - Zhiyong Yuan
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin’s Clinical Research Center for Cancer, Tianjin, China
| | - Ping Wang
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin’s Clinical Research Center for Cancer, Tianjin, China
| | - Lian Li
- State Key Laboratory of Medical Chemical Biology, Tianjin Key Laboratory of Protein Sciences, College of Life Sciences, Nankai University, Tianjin, China,*Correspondence: Wen Ning, ; Lian Li,
| | - Wen Ning
- State Key Laboratory of Medical Chemical Biology, Tianjin Key Laboratory of Protein Sciences, College of Life Sciences, Nankai University, Tianjin, China,*Correspondence: Wen Ning, ; Lian Li,
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Xu B, Zhao X, Chen D, Zhao W, Wang X, Ding C, Yuan Z, Zhang H. Two-institution results of Stereotactic Body Radiation Therapy (SBRT) for treating adrenal gland metastases from liver cancer. BMC Cancer 2023; 23:73. [PMID: 36681809 PMCID: PMC9862519 DOI: 10.1186/s12885-023-10519-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Accepted: 01/06/2023] [Indexed: 01/22/2023] Open
Abstract
OBJECTIVE Stereotactic Body Radiation Therapy (SBRT) has been found beneficial for adrenal gland metastases (AGMs) with a high local control rate and low toxicity. The role of SBRT for AGMs in patients with liver cancer has not been well-discussed before. We, therefore, report our two-institution experience to further elaborate on the feasibility and effectiveness of SBRT in the treatment of AGMs from liver cancer. METHODS A total of 23 liver cancer patients (19 males, 4 females) with 24 AGMs treated by SBRT from July 2006 to April 2021 were retrospectively included in this study. Toxicity was assessed based on clinical adverse events using the Common Terminology Criteria for Adverse Events (CTCAE) version 5.0. The effectiveness was assessed based on local control (LC), progression-free survival (PFS), and overall survival (OS), which were calculated using the Kaplan-Meier method. Univariate analyses were compared by log-rank test. The relevant covariates were evaluated using Cox proportional hazards models. RESULTS The median dose was 40 Gy in 5 fractions, with the corresponding median biological effective dose (BED10, α/β = 10 Gy) of 72 Gy. The median overall follow-up time was 15.4 months (range: 4.2-70.6 months). The complete response (CR), partial response (PR), stable disease (SD) and progressive disease (PD) rates were 25.0%, 20.8%, 33.3%, and 20.8%, respectively. All 6 patients with AGMs accompanying symptoms had varying degrees of alleviation after SBRT. The 0.5-, 1-year and 2-year LC rates were 87.5%, 77.8%, and 77.8%, respectively. The 0.5-, 1-year and 2-year OS rates were 95.5%, 66.8%, and 41.1%, respectively. The treatments were all tolerated with only one patient reporting a grade-3 hepatic injury. The univariate analysis concluded that only gross tumor volume (GTV) < 34.5 ml (p = 0.039) was associated with a favorable LC rate. After multivariate analysis, favorable predictors correlated with OS were GTV < 34.5 ml (p = 0.043), systemic therapy (p = 0.017), and without additional organ metastasis after SBRT (p = 0.009). CONCLUSION Our results suggest that SBRT is a safe and effective technique to treat AGM from liver cancer, especially for small GTV (< 34.5ml). Moreover, the small metastatic lesion volume, fewer metastatic lesions, and intervention of systemic therapy are more likely to improve OS.
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Affiliation(s)
- Bichun Xu
- grid.411525.60000 0004 0369 1599Department of Radiation Oncology, Shanghai Changhai Hospital, the Navy Medical University, 200433 Shanghai, China
| | - Xianzhi Zhao
- grid.411525.60000 0004 0369 1599Department of Radiation Oncology, Shanghai Changhai Hospital, the Navy Medical University, 200433 Shanghai, China
| | - Di Chen
- grid.411525.60000 0004 0369 1599Department of Radiation Oncology, Shanghai Changhai Hospital, the Navy Medical University, 200433 Shanghai, China
| | - Wenjuan Zhao
- grid.411525.60000 0004 0369 1599Department of Radiation Oncology, Shanghai Changhai Hospital, the Navy Medical University, 200433 Shanghai, China
| | - Xiaoyan Wang
- grid.411525.60000 0004 0369 1599Department of Radiation Oncology, Shanghai Changhai Hospital, the Navy Medical University, 200433 Shanghai, China
| | - Changhua Ding
- grid.411525.60000 0004 0369 1599Department of Radiation Oncology, Shanghai Changhai Hospital, the Navy Medical University, 200433 Shanghai, China
| | - Zhiyong Yuan
- grid.411918.40000 0004 1798 6427Department of Radiation Oncology, Key Laboratory of Cancer Prevention and Therapy, Tianjin’s Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, 300060 Tianjin, China
| | - Huojun Zhang
- grid.411525.60000 0004 0369 1599Department of Radiation Oncology, Shanghai Changhai Hospital, the Navy Medical University, 200433 Shanghai, China
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Wei P, Chen J, Duan Y, Song Y, Wang Z, Yuan Z. More accurate, consistent, and reliable data for amphibian species are needed from China's nature reserves. Conservat Sci and Prac 2022. [DOI: 10.1111/csp2.12872] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Affiliation(s)
- Pingfan Wei
- Key Laboratory of Freshwater Fish Reproduction and Development (Ministry of Education), School of Life Sciences Southwest University Chongqing China
- Key Laboratory for Conserving Wildlife with Small Populations in Yunnan Southwest Forestry University Kunming China
| | - Jinmin Chen
- Anhui Provincial Key Laboratory of the Conservation and Exploitation of Biological Resources College of Life Sciences Normal University Wuhu China
| | - Yubao Duan
- Key Laboratory for Conserving Wildlife with Small Populations in Yunnan Southwest Forestry University Kunming China
| | - Yanfang Song
- Key Laboratory for Conserving Wildlife with Small Populations in Yunnan Southwest Forestry University Kunming China
| | - Zhijian Wang
- Key Laboratory of Freshwater Fish Reproduction and Development (Ministry of Education), School of Life Sciences Southwest University Chongqing China
| | - Zhiyong Yuan
- Key Laboratory of Freshwater Fish Reproduction and Development (Ministry of Education), School of Life Sciences Southwest University Chongqing China
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Zhang Y, Niu G, Kong S, Wei F, Wang H, Dong Y, Yu L, Guan Y, Wang H, Yu X, Yin Z, Yuan Z. Predictive Model for the Radiotherapy Induced Rib Fracture (RIRF) after Stereotactic Body Radiotherapy. Int J Radiat Oncol Biol Phys 2022. [DOI: 10.1016/j.ijrobp.2022.07.1653] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Niu G, Zhang Y, Gao M, Zhao J, Wang H, Chen J, Guo X, Yu L, Guan Y, Dong Y, Yu X, Yin Z, Yuan Z, Kong S. Dosimetric Analysis of Radiation-Induced Brachial Plexopathy after Stereotactic Body Radiotherapy: The Contouring of Brachial Plexus Matters. Int J Radiat Oncol Biol Phys 2022. [DOI: 10.1016/j.ijrobp.2022.07.1645] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Jing Y, Yuan Z, Zhou W, Han X, Qi Q, Song K, Xing J. A phased intervention bundle to decrease the mortality of patients with extracorporeal membrane oxygenation in intensive care unit. Front Med (Lausanne) 2022; 9:1005162. [PMID: 36325385 PMCID: PMC9618597 DOI: 10.3389/fmed.2022.1005162] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Accepted: 09/26/2022] [Indexed: 11/30/2022] Open
Abstract
Aim To evaluate whether a phased multidimensional intervention bundle would decrease the mortality of patients with extracorporeal membrane oxygenation (ECMO) and the complication incidence. Materials and methods We conducted a prospective observational study in comparison with a retrospective control group in six intensive care units (ICUs) in China. Patients older than 18 years supported with ECMO between March 2018 to March 2022 were included in the study. A phased intervention bundle to improve the outcome of patients with ECMO was developed and implemented. Multivariable logistic regression modeling was used to compare the mortality of patients with ECMO and the complication incidence before, during, and up to 18 months after implementation of the intervention bundle. Results The cohort included 297 patients in 6 ICUs, mostly VA ECMO (68.7%) with a median (25th–75th percentile) duration in ECMO of 9.0 (4.0–15.0) days. The mean (SD) APECHII score was 24.1 (7.5). Overall, the mortality of ECMO decreased from 57.1% at baseline to 21.8% at 13–18 months after implementation of the study intervention (P < 0.001). In multivariable analysis, even after excluding the confounding factors, such as age, APECHII score, pre-ECMO lactate, and incidence of CRRT during ECMO, the intervention bundle still can decrease the mortality independently, which also remained true in the statistical analysis of V-V and V-A ECMO separately. Among all the ECMO-related complications, the incidence of bloodstream infection and bleeding decreased significantly at 13–18 months after implementation compared with the baseline. The CUSUM analysis revealed a typical learning curve with a point of inflection during the implementation of the bundle. Conclusion A phased multidimensional intervention bundle resulted in a large and sustained reduction in the mortality of ECMO that was maintained throughout the 18-month study period. Clinical trial registration [ClinicalTrials.gov], identifier [NCT05024786].
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Affiliation(s)
- Yajun Jing
- Department of Critical Care Medicine, The Affiliated Hospital of Qingdao University, Qingdao University, Qingdao, China
| | - Zhiyong Yuan
- Department of Critical Care Medicine, The Affiliated Hospital of Qingdao University, Qingdao University, Qingdao, China
| | - Weigui Zhou
- Department of Critical Care Medicine, The Affiliated Hospital of Qingdao University, Qingdao University, Qingdao, China
| | - Xiaoning Han
- Department of Critical Care Medicine, The Affiliated Hospital of Qingdao University, Qingdao University, Qingdao, China
| | - Qi Qi
- Department of Critical Care Medicine, The Affiliated Hospital of Qingdao University, Qingdao University, Qingdao, China
| | - Kai Song
- School of Mathematics and Statistics, Qingdao University, Qingdao, China
| | - Jinyan Xing
- Department of Critical Care Medicine, The Affiliated Hospital of Qingdao University, Qingdao University, Qingdao, China
- *Correspondence: Jinyan Xing,
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Hong Y, He Y, Lin Z, Du Y, Chen S, Han L, Zhang Q, Gu S, Tu W, Hu S, Yuan Z, Liu X. Complex origins indicate a potential bridgehead introduction of an emerging amphibian invader (Eleutherodactylus planirostris) in China. NB 2022. [DOI: 10.3897/neobiota.77.83205] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
Identifying the origins of established alien species is important to prevent new introductions in the future. The greenhouse frog (Eleutherodactylus planirostris), native to Cuba, the Bahamas, and the Cayman Islands, has been widely introduced to the Caribbean, North and Central America, Oceania and Asia. This invasive alien amphibian was recently reported in Shenzhen, China, but the potential introduction sources remain poorly understood. Based on phylogenetic analysis using mitochondrial 16S, COI and CYTB sequences, we detected a complex introduction origin of this species, which may be from Hong Kong, China, the Philippines, Panama and Florida, USA, all pointing to a bridgehead introduction. In addition, the nursery trade between the four countries or regions and mainland China from 2011 to 2020 was also significantly higher than other areas with less likelihood of introductions, which supported the molecular results. Our study provides the first genetic evidence of the potential sources of this emerging amphibian invader in mainland China, which may help develop alien species control strategies in the face of growing trade through globalization.
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Cao Y, Yang R, Wang W, Jiang S, Yang C, Wang Q, Liu N, Xue Y, Lee I, Meng X, Yuan Z. Effects of membrane lipids on phospholamban pentameric channel structure and ion transportation mechanisms. Int J Biol Macromol 2022; 224:766-775. [DOI: 10.1016/j.ijbiomac.2022.10.164] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Revised: 10/10/2022] [Accepted: 10/19/2022] [Indexed: 11/05/2022]
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Yuan Z, Wei Q, Wang J. Long-term changes in cerebral and ocular hemodynamics after carotid endarterectomy in symptomatic patients with unilateral carotid artery stenosis. Eur Rev Med Pharmacol Sci 2022; 26:7541-7549. [PMID: 36314325 DOI: 10.26355/eurrev_202210_30025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
OBJECTIVE The aim of the current study was to describe the alternation pattern of cerebral and ocular blood flow velocities (BFVs) in symptomatic patients with unilateral carotid stenosis after carotid endarterectomy. PATIENTS AND METHODS 20 symptomatic patients underwent carotid endarterectomy for ≥ 50% unilateral carotid stenosis. Cerebral and ocular hemodynamics were evaluated by Transcranial Doppler (TCD) and Color Doppler imaging (CDI), respectively, first preoperatively, then during the following several days after carotid endarterectomy before discharge, and finally two to sixteen months later. RESULTS Statistically significant improvements in the BFVs were recorded in the ipsilateral anterior cerebral artery (ACA), middle cerebral artery (MCV) and short posterior ciliary artery (SPCA) during the following several days after carotid endarterectomy. Preoperative retrograde flows of the ipsilateral ophthalmic artery (OA) in two patients returned to anterograde direction immediately following carotid endarterectomy. At the follow-up of two to sixteen months, the BFVs of the ipsilateral ACA, MCA and SPCA tended to decline and were no longer statistically significant from the preoperative values. CONCLUSIONS Carotid endarterectomy significantly increased the flow velocities of ipsilateral cerebral anterior circulation and OA branching artery in patients with unilateral carotid stenosis early after surgery. At the long-term follow-up, the flow velocities in the ipsilateral hemisphere had the tendency to reduce and approach the preoperative level.
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Affiliation(s)
- Z Yuan
- Department of Vascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
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Yuan S, He Z, Zhao J, Yuan Z. Fusing depth local dual-view features and dual-input transformer framework for improving the recognition ability of motion artifact-contaminated electrocardiogram. COMPLEX INTELL SYST 2022. [DOI: 10.1007/s40747-022-00861-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
AbstractHeart health monitoring based on wearable devices is often contaminated by various noises to varying degrees. Using signal quality indicators (SQIs) to achieve signal quality assessment (SQA) is among the most promising ways to solve this problem, but the performance of SQIs in expressing ECG quality features contaminated by motion artifact (MA) noise remains disappointing. Here, we present a novel SQA method that fuses the proposed depth local dual-view (DLDV) features and the dual-input transformer (DI-Transformer) framework to improve the recognition ability of MA-contaminated ECGs. The proposed DLDV features are to identify subtle differences between MA and ECG through depth local amplitude and phase angle features. When it fuses with the temporal relationship features extracted by DI-Transformer, its accuracy is significantly improved compared to the SQIs-based methods. In addition, we also verify the robustness and the accuracy of DLDV features on four traditional classifiers. Finally, we conduct our experiments on the two datasets. On the PhysioNet/Computing in Cardiology Challenge dataset, the DLDV features (Acc = 95.49%) outperform the combination of six SQIs features (Acc = 91.26%). When combined with our DI-Transformer, it delivered an accuracy of 99.62%, outperforming the state-of-the-art SQA methods. On the artificial testset constructed by MA noise, our DI-Transformer outperforms four traditional methods and also delivered an accuracy of 97.69%.
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Zhou D, Li F, Yuan Z, Zhao Y, Zuo H, Han J, Zhang L, Sun J. Cavity Etching Behavior on the M‐Plane of Sapphire Crystal. Crystal Research and Technology 2022. [DOI: 10.1002/crat.202200090] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Affiliation(s)
- Dingran Zhou
- School of Materials Science and Engineering Harbin Institute of Technology Harbin 150001 China
- National Key Laboratory for Precision Hot Processing of Metals Harbin Institute of Technology Harbin 150001 China
| | - Fei Li
- School of Materials Science and Engineering Harbin Institute of Technology Harbin 150001 China
- National Key Laboratory for Precision Hot Processing of Metals Harbin Institute of Technology Harbin 150001 China
| | - Zhiyong Yuan
- School of Materials Science and Engineering Harbin Institute of Technology Harbin 150001 China
- National Key Laboratory for Precision Hot Processing of Metals Harbin Institute of Technology Harbin 150001 China
| | - Yu Zhao
- School of Materials Science and Engineering Harbin Institute of Technology Harbin 150001 China
- National Key Laboratory for Precision Hot Processing of Metals Harbin Institute of Technology Harbin 150001 China
| | - Hongbo Zuo
- Center for Composite Materials Harbin Institute of Technology Harbin 150001 P. R. China
| | - Jiecai Han
- Center for Composite Materials Harbin Institute of Technology Harbin 150001 P. R. China
| | - Lunyong Zhang
- School of Materials Science and Engineering Harbin Institute of Technology Harbin 150001 China
- National Key Laboratory for Precision Hot Processing of Metals Harbin Institute of Technology Harbin 150001 China
| | - Jianfei Sun
- School of Materials Science and Engineering Harbin Institute of Technology Harbin 150001 China
- National Key Laboratory for Precision Hot Processing of Metals Harbin Institute of Technology Harbin 150001 China
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Zhu Z, Ni J, Cai X, Su S, Zhuang H, Yang Z, Chen M, Ma S, Xie C, Xu Y, Li J, Ge H, Liu A, Zhao L, Rao C, Xie C, Bi N, Hui Z, Zhu G, Yuan Z, Wang J, Zhao L, Zhou W, Rim CH, Navarro-Martin A, Vanneste BGL, Ruysscher DD, Choi JI, Jassem J, Chang JY, Kepka L, Käsmann L, Milano MT, Van Houtte P, Suwinski R, Traverso A, Doi H, Suh YG, Noël G, Tomita N, Kowalchuk RO, Sio TT, Li B, Lu B, Fu X. International consensus on radiotherapy in metastatic non-small cell lung cancer. Transl Lung Cancer Res 2022; 11:1763-1795. [PMID: 36248338 PMCID: PMC9554677 DOI: 10.21037/tlcr-22-644] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2021] [Accepted: 09/14/2022] [Indexed: 11/16/2022]
Abstract
Background Lung cancer is the leading cause of cancer-related death worldwide, with non-small cell lung cancer (NSCLC) accounting for most cases. While radiotherapy has historically served as a palliative modality in metastatic NSCLC, considerable advances in its technology and the continuous development of cutting-edge therapeutic agents, such as targeted therapy and immune checkpoint inhibitors (ICIs), are increasing its role in the multi-disciplinary management of the disease. Methods International radiotherapy experts were convened to consider and reach consensuses on the clinical utilities of radiotherapy in metastatic NSCLC, with the aim to provide patient-focused, up to date, evidence-based, recommendations to assist cancer specialists in the management of patients with metastatic NSCLC worldwide. Results Timely radiotherapy can offer rapid symptom alleviation and allow subsequent aggressive treatment approaches in patients with heavy tumor burden and/or oncologic emergencies. In addition, appropriate incorporation of radiotherapy as concurrent, consolidation, or salvage therapy makes it possible to achieve long-term survival, or even cure, for patients with oligo-metastatic disease. Cranial radiotherapy plays an important role in the management of brain metastasis, potentially augmenting the response and prolonging survival associated with targeted agents and ICIs. However, key questions remain, such as the appropriate choice of radiation techniques, optimal sequence of systemic therapies and radiotherapy, and optimal patient selection for such combination strategies. Although a strong rationale for combining radiotherapy and ICIs exists, its optimal parameters in this setting remain to be established. Conclusions In the modern era, radiotherapy serves not only as a palliative tool in metastatic NSCLC, but also plays active roles in patients with oligo-focal disease, CNS metastasis and receiving ICIs.
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Affiliation(s)
- Zhengfei Zhu
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
- Institute of Thoracic Oncology, Fudan University, Shanghai, China
| | - Jianjiao Ni
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Xuwei Cai
- Department of Radiation Oncology, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Shengfa Su
- Department of Thoracic Oncology, The Affiliated Hospital of Guizhou Medical University and The Affiliated Cancer Hospital of Guizhou Medical University, Guiyang, China
| | - Hongqing Zhuang
- Department of Radiation Oncology, Peking University Third Hospital, Beijing, China
| | - Zhenzhou Yang
- Cancer Center, Research Institute of Surgery, Daping Hospital, Third Military Medical University, Chongqing, China
| | - Ming Chen
- Department of Radiation Oncology, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Shenglin Ma
- Department of Radiation Oncology, Affiliated Hangzhou Cancer Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Conghua Xie
- Department of Radiation and Medical Oncology, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Yaping Xu
- Department of Radiation Oncology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Jiancheng Li
- Department of Radiation Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, China
| | - Hong Ge
- Department of Radiation Oncology, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, China
| | - Anwen Liu
- Department of Oncology, The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Lujun Zhao
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Chuangzhou Rao
- Department of Radiotherapy and Chemotherapy, Hwamei Hospital, University of Chinese Academy of Sciences, Ningbo, China
| | - Congying Xie
- Department of Radiation and Medical Oncology, Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Nan Bi
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zhouguang Hui
- Department of VIP Medical Services, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Guangying Zhu
- Department of Radiation Oncology, Peking University China-Japan Friendship School of Clinical Medicine, Beijing, China
| | - Zhiyong Yuan
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin’s Clinical Research Center for Cancer, Tianjin, China
| | - Jun Wang
- Department of Radiation Oncology, The fourth hospital of Hebei Medical University, Shijiazhuang, China
| | - Lina Zhao
- Department of Radiation Oncology, Xijing Hospital, Xi’an, China
| | - Wei Zhou
- Chongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment, Chongqing University Cancer Hospital, Chongqing, China
| | - Chai Hong Rim
- Department of Radiation Oncology, Korea University Ansan Hospital, Ansan, Republic of Korea
| | - Arturo Navarro-Martin
- Department of Radiation Oncology, Catalan Institute of Oncology, L’Hospitalet, Barcelona, Spain
| | - Ben G. L. Vanneste
- Department of Radiation Oncology (MAASTRO), GROW-School for Oncology and Developmental Biology, Maastricht University Medical Center+, Maastricht, The Netherlands
- Department of Human Structure and Repair; Department of Radiation Oncology, Ghent University Hospital, Ghent, Belgium
| | - Dirk De Ruysscher
- Department of Radiation Oncology (MAASTRO), GROW-School for Oncology and Developmental Biology, Maastricht University Medical Center+, Maastricht, The Netherlands
| | - J. Isabelle Choi
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, USA
- New York Proton Center, New York, USA
| | - Jacek Jassem
- Department of Oncology and Radiotherapy, Medical University of Gdańsk, Gdańsk, Poland
| | - Joe Y. Chang
- Department of Radiation Oncology, University of Texas M.D. Anderson Cancer Center, Houston, TX, USA
| | - Lucyna Kepka
- Department of Radiotherapy, Military Institute of Medicine, Warsaw, Poland
| | - Lukas Käsmann
- Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany
| | - Michael T. Milano
- Department of Radiation Oncology, University of Rochester Medical Center, Rochester, NY, USA
| | - Paul Van Houtte
- Department of Radiation Oncology, Institut Jules Bordet, Université Libre Bruxelles, Brussels, Belgium
| | - Rafal Suwinski
- Radiotherapy and Chemotherapy Clinic and Teaching Hospital, Maria Sklodowska-Curie National Research Institute of Oncology, Gliwice, Poland
| | - Alberto Traverso
- Department of Radiation Oncology (MAASTRO), GROW-School for Oncology and Developmental Biology, Maastricht University Medical Center+, Maastricht, The Netherlands
| | - Hiroshi Doi
- Department of Radiation Oncology, Kindai University Faculty of Medicine, Osaka-Sayama, Osaka, Japan
| | - Yang-Gun Suh
- Department of Radiation Oncology, Research Institute and Hospital, National Cancer Center, Goyang, Republic of Korea
| | - Georges Noël
- Radiotherapy Department, Strasbourg Europe Cancer Institute (ICANS), Strasbourg, France
| | - Natsuo Tomita
- Departments of Radiology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
| | | | - Terence T. Sio
- Department of Radiation Oncology, Mayo Clinic Arizona, Phoenix, AZ, USA
| | - Baosheng Li
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Bing Lu
- Department of Thoracic Oncology, The Affiliated Hospital of Guizhou Medical University and The Affiliated Cancer Hospital of Guizhou Medical University, Guiyang, China
| | - Xiaolong Fu
- Department of Radiation Oncology, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China
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Wei G, Yuan Z, Jing Y, Zhou W, Wang F, Liu Y, Yao B, Xing J. [Exploration and practice of building tele-critical care system]. Zhonghua Wei Zhong Bing Ji Jiu Yi Xue 2022; 34:970-975. [PMID: 36377453 DOI: 10.3760/cma.j.cn121430-20220310-00233] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
OBJECTIVE To look for the problems faced in the construction of the tele-critical care system, explore the framework of construction of the tele-critical care system, and verify the application effects of the established tele-critical care system. METHODS Through literature review and on-site investigation and demonstration, the causes affecting the construction of the tele-critical care system were explored. Through on-site investigation of the actual situation of the critical care department in relevant hospitals, arguing and choosing intended intensive care unit (ICU) and cooperative third-party communication and equipment companies, and through the Internet of Things and 5G communication technology, a tele-critical care system with the core hospital of the group as the center and the member institutes within the group as the nodes was built. Via the established tele-critical care system, activities such as tele-monitoring, visual remote ward rounds, remote consultation, remote teaching were carried out to verify the functions of the system. RESULTS The insufficient cognition of relevant personnel, tele-medicine practice certification requirements, information security issues and the barriers of equipment information integration were the main causes affecting the construction of tele-critical care system. There were five parts in the tele-critical care system architecture foundations, including bed unit equipment and audio and video information collection system, lossless and secure transmission of collected information, real-time display of information in the remote center, real-time staff interaction between the centre and the nodal hospitals, and information cloud storage. It has been verified that patients' diagnostic and treatment information can be transmitted safely, losslessly and in real-time by a special line through private 5G network. Through this system, real-time and stable upload of audio and video information of patients and application information of monitors, ventilators and infusion work stations can be achieved; combined with tele-conference connections to conduct two-way communication with local medical staff, real-time tele-monitoring, visual remote ward rounds, remote consultation, remote teaching and other functions can be achieved. CONCLUSIONS The tele-critical care system we established is feasible to construct within the medical group and can safely and effectively realize the functions of real-time tele-monitoring, visual remote ward rounds, remote consultation, and remote teaching.
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Affiliation(s)
- Guangyao Wei
- Department of Critical Care Medicine, the Affiliated Hospital of Qingdao University, Qingdao 266555, Shangdong, China
- Qingdao University, Qingdao 266071, Shangdong, China. Corresponding author: Xing Jinyan,
| | - Zhiyong Yuan
- Department of Critical Care Medicine, the Affiliated Hospital of Qingdao University, Qingdao 266555, Shangdong, China
| | - Yajun Jing
- Department of Critical Care Medicine, the Affiliated Hospital of Qingdao University, Qingdao 266555, Shangdong, China
| | - Weigui Zhou
- Department of Critical Care Medicine, the Affiliated Hospital of Qingdao University, Qingdao 266555, Shangdong, China
| | - Fuhua Wang
- Department of Critical Care Medicine, the Affiliated Hospital of Qingdao University, Qingdao 266555, Shangdong, China
| | - Ying Liu
- Department of Critical Care Medicine, the Affiliated Hospital of Qingdao University, Qingdao 266555, Shangdong, China
| | - Bo Yao
- Department of Critical Care Medicine, the Affiliated Hospital of Qingdao University, Qingdao 266555, Shangdong, China
| | - Jinyan Xing
- Department of Critical Care Medicine, the Affiliated Hospital of Qingdao University, Qingdao 266555, Shangdong, China
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Cheng J, Miao BF, Liu Z, Yang M, He K, Zeng YL, Niu H, Yang X, Wang ZQ, Hong XH, Fu SJ, Sun L, Liu Y, Wu YZ, Yuan Z, Ding HF. Coherent Picture on the Pure Spin Transport between Ag/Bi and Ferromagnets. Phys Rev Lett 2022; 129:097203. [PMID: 36083669 DOI: 10.1103/physrevlett.129.097203] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Accepted: 07/26/2022] [Indexed: 06/15/2023]
Abstract
In a joint effort of both experiments and first-principles calculations, we resolve a hotly debated controversy and provide a coherent picture on the pure spin transport between Ag/Bi and ferromagnets. We demonstrate a strong inverse Rashba-Edelstein effect (IREE) at the interface in between Ag/Bi with a ferromagnetic metal (FM) but not with a ferromagnetic insulator. This is in sharp contrast to the previously claimed IREE at Ag/Bi interface or inverse spin Hall effect dominated spin transport. A more than one order of magnitude modulation of IREE signal is realized for different Ag/Bi-FM interfaces, casting strong tunability and a new direction for searching efficient spintronics materials.
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Affiliation(s)
- J Cheng
- National Laboratory of Solid State Microstructures and Department of Physics, Nanjing University, Nanjing 210093, People's Republic of China
| | - B F Miao
- National Laboratory of Solid State Microstructures and Department of Physics, Nanjing University, Nanjing 210093, People's Republic of China
- Collaborative Innovation Center of Advanced Microstructures, Nanjing University, Nanjing 210093, People's Republic of China
| | - Z Liu
- Center for Advanced Quantum Studies and Department of Physics, Beijing Normal University, Beijing 100875, People's Republic of China
| | - M Yang
- National Laboratory of Solid State Microstructures and Department of Physics, Nanjing University, Nanjing 210093, People's Republic of China
| | - K He
- National Laboratory of Solid State Microstructures and Department of Physics, Nanjing University, Nanjing 210093, People's Republic of China
| | - Y L Zeng
- National Laboratory of Solid State Microstructures and Department of Physics, Nanjing University, Nanjing 210093, People's Republic of China
| | - H Niu
- National Laboratory of Solid State Microstructures and Department of Physics, Nanjing University, Nanjing 210093, People's Republic of China
| | - X Yang
- National Laboratory of Solid State Microstructures and Department of Physics, Nanjing University, Nanjing 210093, People's Republic of China
| | - Z Q Wang
- National Laboratory of Solid State Microstructures and Department of Physics, Nanjing University, Nanjing 210093, People's Republic of China
| | - X H Hong
- National Laboratory of Solid State Microstructures and Department of Physics, Nanjing University, Nanjing 210093, People's Republic of China
| | - S J Fu
- National Laboratory of Solid State Microstructures and Department of Physics, Nanjing University, Nanjing 210093, People's Republic of China
| | - L Sun
- National Laboratory of Solid State Microstructures and Department of Physics, Nanjing University, Nanjing 210093, People's Republic of China
- Collaborative Innovation Center of Advanced Microstructures, Nanjing University, Nanjing 210093, People's Republic of China
| | - Y Liu
- Center for Advanced Quantum Studies and Department of Physics, Beijing Normal University, Beijing 100875, People's Republic of China
| | - Y Z Wu
- Collaborative Innovation Center of Advanced Microstructures, Nanjing University, Nanjing 210093, People's Republic of China
- Department of Physics, Fudan University, 220 Handan Road, Shanghai 200433, People's Republic of China
| | - Z Yuan
- Center for Advanced Quantum Studies and Department of Physics, Beijing Normal University, Beijing 100875, People's Republic of China
| | - H F Ding
- National Laboratory of Solid State Microstructures and Department of Physics, Nanjing University, Nanjing 210093, People's Republic of China
- Collaborative Innovation Center of Advanced Microstructures, Nanjing University, Nanjing 210093, People's Republic of China
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Li X, Wang F, Jia H, Lian Z, Ren K, Yuan Z, Wang P, Zhao L. Efficacy and safety of EGFR inhibitors and radiotherapy in locally advanced non-small-cell lung cancer: a meta-analysis. Future Oncol 2022; 18:3055-3065. [PMID: 35947522 DOI: 10.2217/fon-2022-0491] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Aim: To assess the efficacy and safety of EGFR inhibitors combined with (chemo)radiotherapy in unresectable, locally advanced non-small-cell lung cancer. Materials & methods: A systematic review and meta-analysis of prospective trials was performed. Results: Twenty-eight studies of 1640 patients were included. In patients harboring EGFR-sensitive mutations, the pooled objective response rate, 1-year overall survival rate and 1-year progression-free survival rate of EGFR-TKIs + (chemo)radiotherapy were 0.803, 0.766 and 0.554, respectively. Compared with chemoradiotherapy, the addition of EGFR inhibitors did not significantly increase the risk of grade ≥3 pneumonitis and esophagitis. Conclusion: EGFR-tyrosine kinase inhibitors combined with (chemo)radiotherapy are tolerable and the clinical benefit is promising, especially in patients with EGFR-sensitive mutations.
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Affiliation(s)
- Xue Li
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention & Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin, 300060, China
| | - Fang Wang
- Department of Radiation Oncology, Affiliated Hospital of Hebei University, Baoding, 071000, China
| | - Huijun Jia
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention & Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin, 300060, China
| | - Zhen Lian
- Department of Emergency, Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention & Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin, 300060, China
| | - Kai Ren
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention & Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin, 300060, China
| | - Zhiyong Yuan
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention & Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin, 300060, China
| | - Ping Wang
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention & Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin, 300060, China
| | - Lujun Zhao
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention & Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin, 300060, China
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Liu Y, Yuan Z, Han X, Song K, Xing J. A Comparison of Activated Partial Thromboplastin Time and Activated Coagulation Time for Anticoagulation Monitoring during Extracorporeal Membrane Oxygenation Therapy. Hamostaseologie 2022. [PMID: 35882351 DOI: 10.1055/a-1796-8652] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/16/2022] Open
Abstract
BACKGROUND Unfractionated heparin is used to prevent coagulation activation in patients undergoing extracorporeal membrane oxygenation (ECMO) support. We designed this study to determine the preferable indicator for anticoagulation monitoring. METHODS We conducted a retrospective study and divided the patients into an activated coagulation time (ACT)-target group and an activated partial thromboplastin time (aPTT)-target group. The correlations between ACT, aPTT, and the heparin dose were explored. RESULTS Thirty-six patients were included (19 aPTT-target and 17 ACT-target patients); a total of 555 matched pairs of ACT/aPTT results were obtained. The correlation between the ACT and aPTT measurements was Spearman's Rank Correlation Coefficient (rs) = 0.518 in all 555 pairs. The Bland-Altman plot showed data points outside the displayed range (51.2-127.7), suggesting that the agreement between ACT and aPTT was poor. The aPTT group had fewer heparin dose changes (2.12 ± 0.68 vs. 2.57 ± 0.64, p = 0.05) and a lower cumulative heparin dose (317.6 ± 108.5 vs. 396.3 ± 144.3, p = 0.00) per day than the ACT group. There was no difference in serious bleeding (9 vs. 5; p = 0.171) or embolism events (3 vs. 3; p = 1.0) or in the red blood cell and fresh frozen plasma transfusion volumes between the ACT- and aPTT-target groups. Similarly, there was no significant difference in the ECMO duration (9 [4-15] days vs. 4 [3-14] days; p = 0.124) or length of ICU hospitalization (17 [5-32] days vs. 13 [4-21] days; p = 0.451) between the groups. CONCLUSION The correlation between ACT and aPTT and the heparin dose was poor. The aPTT group had fewer daily heparin dose changes and a lower cumulative heparin dose per day than the ACT group, with no more bleeding and thrombotic events. Therefore, we recommend aPTT rather than ACT to adjust heparin dose in the absence of better monitoring indicators.
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Affiliation(s)
- Ying Liu
- Department of Critical Care Medicine, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, People's Republic of China
| | - Zhiyong Yuan
- Department of Critical Care Medicine, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, People's Republic of China
| | - Xiaoning Han
- Department of Critical Care Medicine, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, People's Republic of China
| | - Kai Song
- School of Mathematics and Statistics, Qingdao University, Qingdao, Shandong, People's Republic of China
| | - Jinyan Xing
- Department of Critical Care Medicine, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, People's Republic of China
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Chen J, Li C, Cao Y, Zhu L, Zhang B, You J, Hou H, Wang J, Yuan Z. Toripalimab combined with concurrent platinum-based Chemoradiotherapy in patients with locally advanced cervical Cancer: an open-label, single-arm, phase II trial. BMC Cancer 2022; 22:793. [PMID: 35854236 PMCID: PMC9295395 DOI: 10.1186/s12885-022-09866-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Accepted: 07/06/2022] [Indexed: 11/24/2022] Open
Abstract
Background Concurrent chemoradiotherapy is currently the standard of care for patients with locally advanced cervical cancer. However, even with the application of modern radiotherapy techniques, a considerable number of patients still develop distant metastases. PD-L1 inhibitors show good efficacy in cervical cancer. This single-arm phase II study aims to explore the efficacy and tolerability of combining PD-L1 inhibitor with concurrent chemoradiotherapy in the treatment of locally advanced cervical cancer. Methods/design The primary endpoint of the study was the objective response rate assessed according to RECIST v1.1 criteria. The inclusion criteria were previously untreated patients aged 18–75 years with stage III-IVA (FIGO 2018 staging system) locally advanced cervical cancer. During concurrent chemoradiotherapy and consolidation chemotherapy, the enrolled patients will receive toripalimab (240 mg) every 3 weeks. After consolidation chemotherapy, the enrolled patients will be treated with toripalimab (240 mg) once every 6 weeks until the whole treatment cycle reaches 1 year. Intensity modulated radiotherapy was used for external beam radiation, and high-dose rate brachytherapy was delivered under image-guidance. Weekly DDP (40 mg/m2) was given concurrently with radiotherapy while 6 cycles of consolidated chemotherapy (paclitaxel plus DDP) were given after radiotherapy every three weeks. Secondary objectives included safety and tolerability, toxicity profile, progression-free survival, and overall survival. Discussion PD-L1 inhibitor has shown good efficacy in recurrent/metastatic cervical cancer. However, there is still a lack of evidence about its combination with concurrent chemoradiotherapy in the treatment of locally advanced cervical cancer. The purpose of this study is to explore the efficacy and tolerance of this combination therapy, so as to lay the foundation for the future phase III randomized study. Trial registration clinicaltrials.govNCT05084677. Retrospectively registered on Octorber 07, 2021.
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Affiliation(s)
- Jie Chen
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute & Hospital, Key Laboratory of Cancer Prevention and Therapy, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, 300060, China
| | - Chen Li
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute & Hospital, Key Laboratory of Cancer Prevention and Therapy, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, 300060, China
| | - Yuanjie Cao
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute & Hospital, Key Laboratory of Cancer Prevention and Therapy, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, 300060, China
| | - Li Zhu
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute & Hospital, Key Laboratory of Cancer Prevention and Therapy, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, 300060, China
| | - Bailin Zhang
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute & Hospital, Key Laboratory of Cancer Prevention and Therapy, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, 300060, China
| | - Jinqiang You
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute & Hospital, Key Laboratory of Cancer Prevention and Therapy, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, 300060, China
| | - Hailing Hou
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute & Hospital, Key Laboratory of Cancer Prevention and Therapy, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, 300060, China
| | - Jing Wang
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute & Hospital, Key Laboratory of Cancer Prevention and Therapy, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, 300060, China
| | - Zhiyong Yuan
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute & Hospital, Key Laboratory of Cancer Prevention and Therapy, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, 300060, China.
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Gong Z, Yuan Z, Niu Y, Zhang X, Geng J, Wei S. CARBONATED BEVERAGES AFFECT LEVELS OF ANDROGEN RECEPTOR AND TESTOSTERONE SECRETION IN MICE. Acta Endocrinol (Buchar) 2022; 18:301-305. [PMID: 36699165 PMCID: PMC9867816 DOI: 10.4183/aeb.2022.301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
Objectives This work aimed to study the influences of carbonated beverages (CBs) on the testis growth and the expression levels of androgen receptor (AR) of mice. Methods Two experimental groups of 30 mice each PEP-1 and PEP-2 drank 50% and 100% Pepsi-Cola, respectively for 15 days. Other 2 experimental groups of 30 mice each COC-1 and COC-2 drank 50% and 100% Coca-Cola, respectively for 15 days. The control group (CG) of 30 mice drank water. Bilateral testes were harvested aseptically on days 0, 5, 7, 10, 13 and 15. Real-time PCR and Western blot were implemented to detect levels of androgen receptor (AR) mRNA and protein in testis tissues. Results Testes masses of PEP-2, COC-1 and COC-2 were greater than those of PEP-1 and CG (P < 0.05). On day 15, testis longitudinal diameter (TLD) of CBs-treated mice was increased as compared to CG. TLD, testes transverse diameters (TTD) and AR proteins levels of PEP-2 and COC-2 were increased in comparison with CG (P<0.05). Serum testosterone concentrations of PEP-2 were higher than that of COC-1 and CG (P < 0.05). Levels of AR mRNAs of four CBs-treated mice were increased by 60.18%, 67.26%, 65.93% and 78.76%. Conclusions A high concentration of Coca-Cola and Pepsi-Cola could raise TLD and TDD, enhance testosterone secretion, and increase serum EGF concentrations.
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Affiliation(s)
- Z. Gong
- Northwest Minzu University, Affiliated Hospital, Lanzhou, China
| | - Z. Yuan
- Northwest Minzu University, Life Science and Engineering College, Lanzhou, China
| | - Y. Niu
- Northwest Minzu University, Life Science and Engineering College, Lanzhou, China
| | - X. Zhang
- Northwest Minzu University, Life Science and Engineering College, Lanzhou, China
| | - J. Geng
- Northwest Minzu University, Life Science and Engineering College, Lanzhou, China
| | - S. Wei
- Northwest Minzu University, Life Science and Engineering College, Lanzhou, China
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